Compare commits

..

11 Commits

Author SHA1 Message Date
Marcel
b5239f515f fix(notification): address review suggestions
All checks were successful
CI / Unit & Component Tests (pull_request) Successful in 3m23s
CI / OCR Service Tests (pull_request) Successful in 20s
CI / Backend Unit Tests (pull_request) Successful in 3m17s
CI / fail2ban Regex (pull_request) Successful in 40s
CI / Semgrep Security Scan (pull_request) Successful in 20s
CI / Compose Bucket Idempotency (pull_request) Successful in 58s
- ChronikFuerDichBox: move update() inside the failure branch so success
  path skips it, matching NotificationDropdown's pattern
- NotificationDropdown test: add role=alert assertion for mark-all-read
  failure to match existing dismiss-failure coverage in ChronikFuerDichBox
- +page.server.ts: use getErrorMessage(undefined) instead of null so the
  missing-notificationId 400 goes through the same i18n pipeline as other errors

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-05-20 07:31:26 +02:00
Marcel
f2bb58e294 fix(chronik): surface action failures in ChronikFuerDichBox with accessible error banner
All checks were successful
CI / Unit & Component Tests (pull_request) Successful in 3m35s
CI / OCR Service Tests (pull_request) Successful in 20s
CI / Backend Unit Tests (pull_request) Successful in 3m17s
CI / fail2ban Regex (pull_request) Successful in 41s
CI / Semgrep Security Scan (pull_request) Successful in 20s
CI / Compose Bucket Idempotency (pull_request) Successful in 1m1s
Add $state errorMessage + role=alert banner to ChronikFuerDichBox. Both enhance callbacks
now inspect result.type and set the error message on 'failure' or 'error'; errorMessage
is cleared on each new submit attempt.

Upgrade both test files to the mockFormResult pattern (via vi.hoisted) so the result
callback is exercised. Add a failing-action test in each file that asserts role=alert
appears after a form submit with type='failure'.

Fix bare Function cast → explicit typed cast to satisfy @typescript-eslint/no-unsafe-function-type.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-05-20 07:06:58 +02:00
Marcel
2adb98895d fix(aktivitaeten): narrow File cast and use null payload for missing notificationId
Replace 'as string | null' cast (which silently accepts File values) with an explicit
typeof check. Use error: null instead of hardcoded German so the client falls through
to the generic i18n-keyed error banner.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-05-20 07:06:15 +02:00
Marcel
6049dcadd3 fix(notification-dropdown): handle error result type, add role=alert, fix update ordering
- Add role="alert" to error banner so screen-reader users hear failures
- Handle result.type === 'error' (network failure) alongside 'failure' in both enhance callbacks
- Clear errorMessage at the start of each submit so stale errors don't persist on retry
- On dismiss success: skip update() entirely since goto() navigates away from the page
- On dismiss failure: await update() then set error message
- On mark-all success: skip update() (optimistic state already applied)

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-05-20 07:05:50 +02:00
Marcel
7fe8842b57 fix(notifications): surface action failures as an error banner
All checks were successful
CI / Unit & Component Tests (pull_request) Successful in 3m25s
CI / OCR Service Tests (pull_request) Successful in 20s
CI / Backend Unit Tests (pull_request) Successful in 3m23s
CI / fail2ban Regex (pull_request) Successful in 39s
CI / Semgrep Security Scan (pull_request) Successful in 18s
CI / Compose Bucket Idempotency (pull_request) Successful in 58s
When dismiss-notification or mark-all-read returns a failure the dropdown
now shows a localised error message above the list. Added
notification_error_generic key (de/en/es) as the fallback when the
action response carries no explicit error string.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-05-19 23:56:33 +02:00
Marcel
f9340366d1 fix(notifications): move onClose/goto into enhance result callback
onClose() and goto() were firing before the server responded, making it
impossible for a fail() response to cancel navigation. Moved them inside
the result callback behind a result.type !== 'failure' guard.

Updated the $app/forms enhance mock to always invoke the returned async
callback with a configurable mockFormResult, and added three tests:
- success path calls onClose + goto with the correct deep-link URL
- failure path skips onClose and goto
- annotationId is appended to the URL when present

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-05-19 23:54:15 +02:00
Marcel
af84ffc379 fix(notifications): guard against null notificationId in dismiss action
Casting null to string caused PATCH to fire against /api/notifications/null/read
when the field was absent. Added an early-return fail(400) and a test that
submitting an empty form returns 400 without calling the API.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-05-19 23:48:37 +02:00
Marcel
23439e581a refactor(chronik): replace callback props with form actions in ChronikFuerDichBox
All checks were successful
CI / Unit & Component Tests (pull_request) Successful in 3m20s
CI / OCR Service Tests (pull_request) Successful in 21s
CI / Backend Unit Tests (pull_request) Successful in 3m22s
CI / fail2ban Regex (pull_request) Successful in 46s
CI / Semgrep Security Scan (pull_request) Successful in 19s
CI / Compose Bucket Idempotency (pull_request) Successful in 58s
Dismiss (X) button and mark-all-read button now submit forms to
/aktivitaeten?/dismiss-notification and /aktivitaeten?/mark-all-read respectively.
Props renamed onMarkRead/onMarkAllRead → optimisticMarkRead/optimisticMarkAllRead.

aktivitaeten/+page.svelte drops the now-deleted onMarkRead/onMarkAllRead wrapper functions
and passes notificationStore.optimisticMarkRead/optimisticMarkAllRead directly to the box.

Tests: $app/forms enhance mock added to both spec files so dismiss and mark-all assertions
work synchronously against form-submit events.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-05-19 23:16:58 +02:00
Marcel
2c6b59d0c7 refactor(notification): replace callback props with form actions in Dropdown and Bell
NotificationDropdown now wraps each row in a <form action="/aktivitaeten?/dismiss-notification">
and the mark-all control in <form action="/aktivitaeten?/mark-all-read">, wired via use:enhance
for optimistic UI. Props renamed onMarkRead/onMarkAllRead → optimisticMarkRead/optimisticMarkAllRead
to match the simplified store API. NotificationBell passes the store helpers directly; handleMarkRead
is removed.

Test mocks updated: $app/forms enhance mock fires SubmitFunction synchronously on form submit so
callback assertions work without a real HTTP round-trip.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-05-19 23:15:56 +02:00
Marcel
c0a7408ef4 refactor(notification): rename markRead/markAllRead to optimistic helpers without fetch
Removes raw fetch() calls from the store. optimisticMarkRead(id) and
optimisticMarkAllRead() now only mutate local $state — the actual API
calls move to SvelteKit form actions on /aktivitaeten.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-05-19 22:59:01 +02:00
Marcel
9d283c4500 feat(notification): add dismiss-notification and mark-all-read form actions to aktivitaeten
Adds two SvelteKit form actions to /aktivitaeten/+page.server.ts so the
notification bell can POST there instead of calling the backend directly
from the browser.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-05-19 22:51:08 +02:00
205 changed files with 1847 additions and 19219 deletions

View File

@@ -39,12 +39,6 @@ PORT_PROMETHEUS=9090
# Grafana admin password — change this before exposing Grafana beyond localhost
GRAFANA_ADMIN_PASSWORD=changeme
# Password for the read-only grafana_reader PostgreSQL role used by the PO
# Overview dashboard. Consumed by Flyway V68 (to set the role's password) and
# by Grafana's PostgreSQL datasource (to connect). REQUIRED in production —
# generate with: openssl rand -hex 32
GRAFANA_DB_PASSWORD=changeme-generate-with-openssl-rand-hex-32
# GlitchTip domain — production: use https://glitchtip.archiv.raddatz.cloud (must match Caddy vhost)
GLITCHTIP_DOMAIN=http://localhost:3002

View File

@@ -31,7 +31,6 @@ name: nightly
# STAGING_APP_ADMIN_USERNAME
# STAGING_APP_ADMIN_PASSWORD
# GRAFANA_ADMIN_PASSWORD
# GRAFANA_DB_PASSWORD (read-only grafana_reader DB role, issue #651)
# GLITCHTIP_SECRET_KEY
# SENTRY_DSN (set after GlitchTip first-run; empty = Sentry disabled)
@@ -80,8 +79,6 @@ jobs:
IMPORT_HOST_DIR=/srv/familienarchiv-staging/import
POSTGRES_USER=archiv
SENTRY_DSN=${{ secrets.SENTRY_DSN }}
VITE_SENTRY_DSN=${{ secrets.VITE_SENTRY_DSN }}
GRAFANA_DB_PASSWORD=${{ secrets.GRAFANA_DB_PASSWORD }}
EOF
- name: Verify backend /import:ro mount is wired
@@ -145,7 +142,6 @@ jobs:
cp docker-compose.observability.yml /opt/familienarchiv/
cat > /opt/familienarchiv/obs-secrets.env <<'EOF'
GRAFANA_ADMIN_PASSWORD=${{ secrets.GRAFANA_ADMIN_PASSWORD }}
GRAFANA_DB_PASSWORD=${{ secrets.GRAFANA_DB_PASSWORD }}
GLITCHTIP_SECRET_KEY=${{ secrets.GLITCHTIP_SECRET_KEY }}
POSTGRES_PASSWORD=${{ secrets.STAGING_POSTGRES_PASSWORD }}
POSTGRES_HOST=archiv-staging-db-1

View File

@@ -35,7 +35,6 @@ name: release
# MAIL_USERNAME
# MAIL_PASSWORD
# GRAFANA_ADMIN_PASSWORD
# GRAFANA_DB_PASSWORD (read-only grafana_reader DB role, issue #651)
# GLITCHTIP_SECRET_KEY
# SENTRY_DSN (set after GlitchTip first-run; empty = Sentry disabled)
@@ -78,7 +77,6 @@ jobs:
IMPORT_HOST_DIR=/srv/familienarchiv-production/import
POSTGRES_USER=archiv
SENTRY_DSN=${{ secrets.SENTRY_DSN }}
GRAFANA_DB_PASSWORD=${{ secrets.GRAFANA_DB_PASSWORD }}
EOF
- name: Build images
@@ -112,7 +110,6 @@ jobs:
cp docker-compose.observability.yml /opt/familienarchiv/
cat > /opt/familienarchiv/obs-secrets.env <<'EOF'
GRAFANA_ADMIN_PASSWORD=${{ secrets.GRAFANA_ADMIN_PASSWORD }}
GRAFANA_DB_PASSWORD=${{ secrets.GRAFANA_DB_PASSWORD }}
GLITCHTIP_SECRET_KEY=${{ secrets.GLITCHTIP_SECRET_KEY }}
POSTGRES_PASSWORD=${{ secrets.PROD_POSTGRES_PASSWORD }}
POSTGRES_HOST=archiv-production-db-1

4
.gitignore vendored
View File

@@ -26,7 +26,3 @@ node_modules/
# Repo uses npm; yarn.lock is ignored to avoid double-lockfile drift.
frontend/yarn.lock
**/.venv/
**/__pycache__/
*.pyc

View File

@@ -87,7 +87,7 @@ backend/src/main/java/org/raddatz/familienarchiv/
├── exception/ DomainException, ErrorCode, GlobalExceptionHandler
├── filestorage/ FileService (S3/MinIO)
├── geschichte/ Geschichte (story) domain
├── importing/ CanonicalImportOrchestrator + four loaders (TagTree/PersonRegister/PersonTree/Document) + CanonicalSheetReader
├── importing/ MassImportService
├── notification/ Notification domain + SseEmitterRegistry
├── ocr/ OCR domain — OcrService, OcrBatchService, training
├── person/ Person domain

View File

@@ -34,7 +34,7 @@ src/main/java/org/raddatz/familienarchiv/
├── exception/ # DomainException, ErrorCode, GlobalExceptionHandler
├── filestorage/ # FileService (S3/MinIO)
├── geschichte/ # Geschichte (story) domain
├── importing/ # CanonicalImportOrchestrator + 4 loaders + CanonicalSheetReader
├── importing/ # MassImportService
├── notification/ # Notification domain + SseEmitterRegistry
├── ocr/ # OCR domain — OcrService, OcrBatchService, training
├── person/ # Person domain — Person, PersonService, PersonController

View File

@@ -5,10 +5,8 @@ import lombok.extern.slf4j.Slf4j;
import org.flywaydb.core.Flyway;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.core.env.Environment;
import javax.sql.DataSource;
import java.util.Map;
@Configuration
@RequiredArgsConstructor
@@ -16,7 +14,6 @@ import java.util.Map;
public class FlywayConfig {
private final DataSource dataSource;
private final Environment environment;
@Bean(name = "flyway")
public Flyway flyway() {
@@ -24,7 +21,6 @@ public class FlywayConfig {
Flyway flyway = Flyway.configure()
.dataSource(dataSource)
.locations("classpath:db/migration")
.placeholders(Map.of("grafanaDbPassword", resolveGrafanaDbPassword()))
.baselineOnMigrate(true)
.baselineVersion("4")
.load();
@@ -32,22 +28,4 @@ public class FlywayConfig {
log.info("Flyway: {} migration(s) applied.", result.migrationsExecuted);
return flyway;
}
// Fail-closed: refuse to boot when GRAFANA_DB_PASSWORD is unset. The
// grafana_reader role's password is (re)set on every boot by
// R__grafana_reader_password.sql, so a missing env var means we'd either
// skip the rotation silently or — with a hardcoded fallback — publish a
// well-known credential for a role with SELECT on audit_log, documents,
// and transcription_blocks. Same shape as UserDataInitializer's refusal
// to seed default admin credentials outside dev/test/e2e.
String resolveGrafanaDbPassword() {
String value = environment.getProperty("GRAFANA_DB_PASSWORD");
if (value == null || value.isBlank()) {
throw new IllegalStateException(
"GRAFANA_DB_PASSWORD is required: it is consumed by "
+ "R__grafana_reader_password.sql to (re)set the grafana_reader "
+ "role's password on every boot. Generate with: openssl rand -hex 32");
}
return value;
}
}

View File

@@ -1,17 +0,0 @@
package org.raddatz.familienarchiv.document;
/**
* Precision of a document's date. Verbatim mirror of the import normalizer's
* {@code Precision} enum (tools/import-normalizer/dates.py) — the canonical output is the
* contract, so there is no translation layer. Do not add, remove, or rename values without
* also changing the normalizer; a mismatch silently breaks import idempotency (see ADR-025).
*/
public enum DatePrecision {
DAY,
MONTH,
SEASON,
YEAR,
RANGE,
APPROX,
UNKNOWN
}

View File

@@ -25,12 +25,10 @@ import java.util.UUID;
@NamedEntityGraph(name = "Document.full", attributeNodes = {
@NamedAttributeNode("sender"),
@NamedAttributeNode("receivers"),
@NamedAttributeNode("tags"),
@NamedAttributeNode("trainingLabels")
@NamedAttributeNode("tags")
})
@NamedEntityGraph(name = "Document.list", attributeNodes = {
@NamedAttributeNode("sender"),
@NamedAttributeNode("receivers"),
@NamedAttributeNode("tags")
})
@Entity
@@ -91,29 +89,6 @@ public class Document {
@Column(name = "meta_date")
private LocalDate documentDate; // Wann wurde der Brief geschrieben?
// Precision of documentDate — drives honest rendering ("ca. 1943", "Frühjahr 1943").
// Verbatim mirror of the normalizer's Precision enum (see ADR-025).
@Enumerated(EnumType.STRING)
@Column(name = "meta_date_precision", nullable = false, length = 16)
@Schema(requiredMode = Schema.RequiredMode.REQUIRED)
@Builder.Default
private DatePrecision metaDatePrecision = DatePrecision.UNKNOWN;
// Range end — only set when metaDatePrecision is RANGE (open-ended ranges allowed → may be null).
@Column(name = "meta_date_end")
private LocalDate metaDateEnd;
// Original date cell, verbatim, preserved for provenance and "as written" display.
@Column(name = "meta_date_raw", columnDefinition = "TEXT")
private String metaDateRaw;
// Raw attribution preserved even when a person is linked via sender/receivers.
@Column(name = "sender_text", columnDefinition = "TEXT")
private String senderText;
@Column(name = "receiver_text", columnDefinition = "TEXT")
private String receiverText;
@Column(name = "meta_location")
private String location;

View File

@@ -12,8 +12,6 @@ public class DocumentBatchMetadataDTO {
private UUID senderId;
private List<UUID> receiverIds;
private LocalDate documentDate;
private DatePrecision metaDatePrecision;
private LocalDate metaDateEnd;
private String location;
private List<String> tagNames;
private Boolean metadataComplete;

View File

@@ -1,39 +0,0 @@
package org.raddatz.familienarchiv.document;
import io.swagger.v3.oas.annotations.media.Schema;
import org.raddatz.familienarchiv.audit.ActivityActorDTO;
import org.raddatz.familienarchiv.person.Person;
import org.raddatz.familienarchiv.tag.Tag;
import java.time.LocalDate;
import java.util.List;
import java.util.UUID;
public record DocumentListItem(
@Schema(requiredMode = Schema.RequiredMode.REQUIRED)
UUID id,
@Schema(requiredMode = Schema.RequiredMode.REQUIRED)
String title,
@Schema(requiredMode = Schema.RequiredMode.REQUIRED)
String originalFilename,
String thumbnailUrl,
LocalDate documentDate,
@Schema(requiredMode = Schema.RequiredMode.REQUIRED)
DatePrecision metaDatePrecision,
LocalDate metaDateEnd,
Person sender,
@Schema(requiredMode = Schema.RequiredMode.REQUIRED)
List<Person> receivers,
@Schema(requiredMode = Schema.RequiredMode.REQUIRED)
List<Tag> tags,
String archiveBox,
String archiveFolder,
String location,
String summary,
@Schema(requiredMode = Schema.RequiredMode.REQUIRED)
int completionPercentage,
@Schema(requiredMode = Schema.RequiredMode.REQUIRED)
List<ActivityActorDTO> contributors,
@Schema(requiredMode = Schema.RequiredMode.REQUIRED)
SearchMatchData matchData
) {}

View File

@@ -0,0 +1,18 @@
package org.raddatz.familienarchiv.document;
import io.swagger.v3.oas.annotations.media.Schema;
import org.raddatz.familienarchiv.audit.ActivityActorDTO;
import org.raddatz.familienarchiv.document.Document;
import java.util.List;
public record DocumentSearchItem(
@Schema(requiredMode = Schema.RequiredMode.REQUIRED)
Document document,
@Schema(requiredMode = Schema.RequiredMode.REQUIRED)
SearchMatchData matchData,
@Schema(requiredMode = Schema.RequiredMode.REQUIRED)
int completionPercentage,
@Schema(requiredMode = Schema.RequiredMode.REQUIRED)
List<ActivityActorDTO> contributors
) {}

View File

@@ -7,7 +7,7 @@ import java.util.List;
public record DocumentSearchResult(
@Schema(requiredMode = Schema.RequiredMode.REQUIRED)
List<DocumentListItem> items,
List<DocumentSearchItem> items,
@Schema(requiredMode = Schema.RequiredMode.REQUIRED)
long totalElements,
@Schema(requiredMode = Schema.RequiredMode.REQUIRED)
@@ -21,16 +21,16 @@ public record DocumentSearchResult(
* Single-page convenience factory used by empty-result shortcuts and by tests that
* don't care about paging. Treats the whole list as page 0 of itself.
*/
public static DocumentSearchResult of(List<DocumentListItem> items) {
public static DocumentSearchResult of(List<DocumentSearchItem> items) {
int size = items.size();
return new DocumentSearchResult(items, size, 0, size, size == 0 ? 0 : 1);
}
/**
* Paged factory used by the service when it has a real Pageable + full match count
* (e.g. from Spring's Page&lt;T&gt; or from an in-memory sort-then-slice).
* (e.g. from Spring's Page<T> or from an in-memory sort-then-slice).
*/
public static DocumentSearchResult paged(List<DocumentListItem> slice, Pageable pageable, long totalElements) {
public static DocumentSearchResult paged(List<DocumentSearchItem> slice, Pageable pageable, long totalElements) {
int pageSize = pageable.getPageSize();
int totalPages = pageSize == 0 ? 0 : (int) ((totalElements + pageSize - 1) / pageSize);
return new DocumentSearchResult(slice, totalElements, pageable.getPageNumber(), pageSize, totalPages);

View File

@@ -10,6 +10,7 @@ import org.raddatz.familienarchiv.audit.AuditService;
import org.raddatz.familienarchiv.document.DocumentBatchMetadataDTO;
import org.raddatz.familienarchiv.document.DocumentBatchSummary;
import org.raddatz.familienarchiv.document.DocumentBulkEditDTO;
import org.raddatz.familienarchiv.document.DocumentSearchItem;
import org.raddatz.familienarchiv.document.DocumentSearchResult;
import org.raddatz.familienarchiv.document.DocumentSort;
import org.raddatz.familienarchiv.document.DocumentUpdateDTO;
@@ -735,7 +736,7 @@ public class DocumentService {
return DocumentSearchResult.paged(enrichItems(slice, text), pageable, totalElements);
}
private List<DocumentListItem> enrichItems(List<Document> documents, String text) {
private List<DocumentSearchItem> enrichItems(List<Document> documents, String text) {
List<Document> colorResolved = resolveDocumentTagColors(documents);
Map<UUID, SearchMatchData> matchData = enrichWithMatchData(colorResolved, text);
@@ -743,7 +744,7 @@ public class DocumentService {
Map<UUID, Integer> completionByDoc = fetchCompletionPercentages(docIds);
Map<UUID, List<ActivityActorDTO>> contributorsByDoc = auditLogQueryService.findRecentContributorsPerDocument(docIds);
return colorResolved.stream().map(doc -> toListItem(
return colorResolved.stream().map(doc -> new DocumentSearchItem(
doc,
matchData.getOrDefault(doc.getId(), SearchMatchData.empty()),
completionByDoc.getOrDefault(doc.getId(), 0),
@@ -751,28 +752,6 @@ public class DocumentService {
)).toList();
}
private DocumentListItem toListItem(Document doc, SearchMatchData match, int completionPct, List<ActivityActorDTO> contributors) {
return new DocumentListItem(
doc.getId(),
doc.getTitle(),
doc.getOriginalFilename(),
doc.getThumbnailUrl(),
doc.getDocumentDate(),
doc.getMetaDatePrecision(),
doc.getMetaDateEnd(),
doc.getSender(),
List.copyOf(doc.getReceivers()),
List.copyOf(doc.getTags()),
doc.getArchiveBox(),
doc.getArchiveFolder(),
doc.getLocation(),
doc.getSummary(),
completionPct,
contributors,
match
);
}
private Map<UUID, Integer> fetchCompletionPercentages(List<UUID> docIds) {
return transcriptionBlockQueryService.getCompletionStats(docIds);
}

View File

@@ -11,11 +11,6 @@ import org.raddatz.familienarchiv.ocr.ScriptType;
public class DocumentUpdateDTO {
private String title;
private LocalDate documentDate;
private DatePrecision metaDatePrecision;
private LocalDate metaDateEnd;
private String metaDateRaw;
private String senderText;
private String receiverText;
private String location;
private String documentLocation;
private String archiveBox;

View File

@@ -43,7 +43,7 @@ public class TranscriptionBlockController {
@PostMapping
@ResponseStatus(HttpStatus.CREATED)
@RequirePermission({Permission.ANNOTATE_ALL, Permission.WRITE_ALL})
@RequirePermission(Permission.WRITE_ALL)
public TranscriptionBlock createBlock(
@PathVariable UUID documentId,
@Valid @RequestBody CreateTranscriptionBlockDTO dto,
@@ -53,7 +53,7 @@ public class TranscriptionBlockController {
}
@PutMapping("/{blockId}")
@RequirePermission({Permission.ANNOTATE_ALL, Permission.WRITE_ALL})
@RequirePermission(Permission.WRITE_ALL)
public TranscriptionBlock updateBlock(
@PathVariable UUID documentId,
@PathVariable UUID blockId,
@@ -65,7 +65,7 @@ public class TranscriptionBlockController {
@DeleteMapping("/{blockId}")
@ResponseStatus(HttpStatus.NO_CONTENT)
@RequirePermission({Permission.ANNOTATE_ALL, Permission.WRITE_ALL})
@RequirePermission(Permission.WRITE_ALL)
public void deleteBlock(
@PathVariable UUID documentId,
@PathVariable UUID blockId) {
@@ -73,7 +73,7 @@ public class TranscriptionBlockController {
}
@PutMapping("/reorder")
@RequirePermission({Permission.ANNOTATE_ALL, Permission.WRITE_ALL})
@RequirePermission(Permission.WRITE_ALL)
public List<TranscriptionBlock> reorderBlocks(
@PathVariable UUID documentId,
@RequestBody ReorderTranscriptionBlocksDTO dto) {
@@ -82,7 +82,7 @@ public class TranscriptionBlockController {
}
@PutMapping("/{blockId}/review")
@RequirePermission({Permission.ANNOTATE_ALL, Permission.WRITE_ALL})
@RequirePermission(Permission.WRITE_ALL)
public TranscriptionBlock reviewBlock(
@PathVariable UUID documentId,
@PathVariable UUID blockId,
@@ -92,7 +92,7 @@ public class TranscriptionBlockController {
}
@PutMapping("/review-all")
@RequirePermission({Permission.ANNOTATE_ALL, Permission.WRITE_ALL})
@RequirePermission(Permission.WRITE_ALL)
public List<TranscriptionBlock> markAllBlocksReviewed(
@PathVariable UUID documentId,
Authentication authentication) {

View File

@@ -40,8 +40,6 @@ public enum ErrorCode {
// --- Import ---
/** A mass import is already in progress; only one can run at a time. 409 */
IMPORT_ALREADY_RUNNING,
/** A canonical import artifact is missing, unreadable, or missing a required header. 400 */
IMPORT_ARTIFACT_INVALID,
// --- Thumbnails ---
/** A thumbnail backfill is already in progress; only one can run at a time. 409 */

View File

@@ -1,94 +0,0 @@
package org.raddatz.familienarchiv.importing;
import lombok.RequiredArgsConstructor;
import lombok.extern.slf4j.Slf4j;
import org.raddatz.familienarchiv.exception.DomainException;
import org.raddatz.familienarchiv.exception.ErrorCode;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.scheduling.annotation.Async;
import org.springframework.stereotype.Service;
import java.io.File;
import java.time.LocalDateTime;
import java.util.List;
/**
* Runs the four canonical loaders in their real dependency order — encoded explicitly
* here, not implied by call order — and owns the async runner plus the {@link ImportStatus}
* state machine the admin UI consumes. The orchestrator smoke-checks that all four
* artifacts are present before starting, failing fast rather than half-loading tags but no
* documents. A malformed artifact (a loader throwing) sets {@code FAILED}; an individual
* bad file is surfaced through the {@link ImportStatus.SkippedFile} mechanism instead.
*/
@Service
@RequiredArgsConstructor
@Slf4j
public class CanonicalImportOrchestrator {
private static final String TAG_TREE_ARTIFACT = "canonical-tag-tree.xlsx";
private static final String PERSONS_ARTIFACT = "canonical-persons.xlsx";
private static final String PERSONS_TREE_ARTIFACT = "canonical-persons-tree.json";
private static final String DOCUMENTS_ARTIFACT = "canonical-documents.xlsx";
private final TagTreeImporter tagTreeImporter;
private final PersonRegisterImporter personRegisterImporter;
private final PersonTreeImporter personTreeImporter;
private final DocumentImporter documentImporter;
@Value("${app.import.dir:/import}")
private String canonicalDir;
private volatile ImportStatus currentStatus = new ImportStatus(
ImportStatus.State.IDLE, "IMPORT_IDLE", "Kein Import gestartet.", 0, List.of(), null);
public ImportStatus getStatus() {
return currentStatus;
}
@Async
public void runImportAsync() {
if (currentStatus.state() == ImportStatus.State.RUNNING) {
throw DomainException.conflict(ErrorCode.IMPORT_ALREADY_RUNNING, "A mass import is already in progress");
}
runImport();
}
/** Synchronous entry point — wrapped by {@link #runImportAsync()} and called directly in tests. */
void runImport() {
currentStatus = new ImportStatus(ImportStatus.State.RUNNING, "IMPORT_RUNNING",
"Import läuft...", 0, List.of(), LocalDateTime.now());
try {
File tagTree = requireArtifact(TAG_TREE_ARTIFACT);
File persons = requireArtifact(PERSONS_ARTIFACT);
File personsTree = requireArtifact(PERSONS_TREE_ARTIFACT);
File documents = requireArtifact(DOCUMENTS_ARTIFACT);
// Dependency DAG: documents need persons + tags; the tree needs persons.
tagTreeImporter.load(tagTree);
personRegisterImporter.load(persons);
personTreeImporter.load(personsTree);
DocumentImporter.LoadResult result = documentImporter.load(documents);
currentStatus = new ImportStatus(ImportStatus.State.DONE, "IMPORT_DONE",
"Import abgeschlossen. " + result.processed() + " Dokumente verarbeitet.",
result.processed(), result.skippedFiles(), currentStatus.startedAt());
} catch (DomainException e) {
log.error("Canonical import failed: {}", e.getMessage());
currentStatus = new ImportStatus(ImportStatus.State.FAILED, "IMPORT_FAILED_ARTIFACT",
"Fehler: " + e.getMessage(), 0, List.of(), currentStatus.startedAt());
} catch (Exception e) {
log.error("Canonical import failed", e);
currentStatus = new ImportStatus(ImportStatus.State.FAILED, "IMPORT_FAILED_INTERNAL",
"Fehler: " + e.getMessage(), 0, List.of(), currentStatus.startedAt());
}
}
private File requireArtifact(String name) {
File artifact = new File(canonicalDir, name);
if (!artifact.isFile()) {
throw DomainException.badRequest(ErrorCode.IMPORT_ARTIFACT_INVALID,
"Missing canonical artifact: " + name);
}
return artifact;
}
}

View File

@@ -1,133 +0,0 @@
package org.raddatz.familienarchiv.importing;
import org.apache.poi.ss.usermodel.Cell;
import org.apache.poi.ss.usermodel.DateUtil;
import org.apache.poi.ss.usermodel.Sheet;
import org.apache.poi.ss.usermodel.Workbook;
import org.apache.poi.ss.usermodel.WorkbookFactory;
import org.raddatz.familienarchiv.exception.DomainException;
import org.raddatz.familienarchiv.exception.ErrorCode;
import java.io.File;
import java.io.FileInputStream;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
/**
* Value-level POI helper for the canonical import artifacts. No Spring, no domain
* knowledge: it opens a workbook, maps the header row to column indices by name, and
* yields typed rows whose cells are looked up by header name — the seam that replaces
* the old positional {@code @Value app.import.col.*} indices. List columns are split on
* the pipe delimiter the normalizer emits.
*/
public final class CanonicalSheetReader {
private CanonicalSheetReader() {
}
/** A single data row, addressable by canonical header name (never by index). */
public static final class Row {
private final Map<String, Integer> headerIndex;
private final List<String> cells;
private Row(Map<String, Integer> headerIndex, List<String> cells) {
this.headerIndex = headerIndex;
this.cells = cells;
}
/** Trimmed cell value for the named header, or "" when absent/blank. */
public String get(String header) {
Integer index = headerIndex.get(header);
if (index == null || index >= cells.size()) return "";
String value = cells.get(index);
return value == null ? "" : value.trim();
}
}
/**
* Reads all data rows from the first sheet, validating that every required header is
* present. Throws a fail-closed {@link DomainException} on a missing header so a
* loader never silently maps the wrong column.
*/
public static List<Row> readRows(File file, List<String> requiredHeaders) {
try (FileInputStream fis = new FileInputStream(file);
Workbook workbook = WorkbookFactory.create(fis)) {
Sheet sheet = workbook.getSheetAt(0);
org.apache.poi.ss.usermodel.Row headerRow = sheet.getRow(sheet.getFirstRowNum());
Map<String, Integer> headerIndex = mapHeaders(headerRow);
requireHeaders(file, headerIndex, requiredHeaders);
List<Row> rows = new ArrayList<>();
for (int i = sheet.getFirstRowNum() + 1; i <= sheet.getLastRowNum(); i++) {
org.apache.poi.ss.usermodel.Row poiRow = sheet.getRow(i);
if (poiRow == null) continue;
rows.add(new Row(headerIndex, readCells(poiRow, headerIndex.size())));
}
return rows;
} catch (DomainException e) {
throw e;
} catch (Exception e) {
throw DomainException.badRequest(ErrorCode.IMPORT_ARTIFACT_INVALID,
"Unreadable canonical artifact: " + file.getName());
}
}
/** Splits a pipe-delimited list column into trimmed, non-empty segments. */
public static List<String> splitList(String raw) {
if (raw == null || raw.isBlank()) return List.of();
return Arrays.stream(raw.split("\\|"))
.map(String::trim)
.filter(s -> !s.isEmpty())
.toList();
}
private static Map<String, Integer> mapHeaders(org.apache.poi.ss.usermodel.Row headerRow) {
if (headerRow == null) {
return Map.of();
}
Map<String, Integer> headerIndex = new HashMap<>();
for (int c = 0; c < headerRow.getLastCellNum(); c++) {
String name = cellToString(headerRow.getCell(c)).trim();
if (!name.isEmpty()) headerIndex.putIfAbsent(name, c);
}
return headerIndex;
}
private static void requireHeaders(File file, Map<String, Integer> headerIndex, List<String> requiredHeaders) {
for (String header : requiredHeaders) {
if (!headerIndex.containsKey(header)) {
throw DomainException.badRequest(ErrorCode.IMPORT_ARTIFACT_INVALID,
"Missing required header '" + header + "' in artifact " + file.getName());
}
}
}
private static List<String> readCells(org.apache.poi.ss.usermodel.Row poiRow, int columnCount) {
int width = Math.max(columnCount, poiRow.getLastCellNum());
List<String> cells = new ArrayList<>(width);
for (int c = 0; c < width; c++) {
cells.add(cellToString(poiRow.getCell(c)));
}
return cells;
}
private static String cellToString(Cell cell) {
if (cell == null) return "";
return switch (cell.getCellType()) {
case STRING -> cell.getStringCellValue();
case NUMERIC -> {
if (DateUtil.isCellDateFormatted(cell)) {
yield cell.getLocalDateTimeCellValue().toLocalDate().toString();
}
yield String.valueOf((long) cell.getNumericCellValue());
}
case BOOLEAN -> String.valueOf(cell.getBooleanCellValue());
default -> "";
};
}
}

View File

@@ -1,334 +0,0 @@
package org.raddatz.familienarchiv.importing;
import lombok.RequiredArgsConstructor;
import lombok.extern.slf4j.Slf4j;
import org.raddatz.familienarchiv.document.DatePrecision;
import org.raddatz.familienarchiv.document.Document;
import org.raddatz.familienarchiv.document.DocumentService;
import org.raddatz.familienarchiv.document.DocumentStatus;
import org.raddatz.familienarchiv.document.ThumbnailAsyncRunner;
import org.raddatz.familienarchiv.exception.DomainException;
import org.raddatz.familienarchiv.exception.ErrorCode;
import org.raddatz.familienarchiv.person.Person;
import org.raddatz.familienarchiv.person.PersonService;
import org.raddatz.familienarchiv.person.PersonType;
import org.raddatz.familienarchiv.person.PersonUpsertCommand;
import org.raddatz.familienarchiv.tag.Tag;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.stereotype.Component;
import org.springframework.transaction.annotation.Transactional;
import software.amazon.awssdk.core.sync.RequestBody;
import software.amazon.awssdk.services.s3.S3Client;
import software.amazon.awssdk.services.s3.model.PutObjectRequest;
import org.raddatz.familienarchiv.tag.TagService;
import java.io.File;
import java.io.FileInputStream;
import java.io.IOException;
import java.io.InputStream;
import java.nio.file.Files;
import java.nio.file.Path;
import java.nio.file.Paths;
import java.time.LocalDate;
import java.time.format.DateTimeParseException;
import java.util.ArrayList;
import java.util.LinkedHashSet;
import java.util.List;
import java.util.Optional;
import java.util.Set;
import java.util.UUID;
import java.util.stream.Stream;
/**
* Loads {@code canonical-documents.xlsx} into the document domain. Java performs no
* semantic transformation: the normalizer already resolved people to slugs and dates to
* ISO values. This loader maps columns by header name, routes each attribution
* register-first (always retaining the raw cell in {@code sender_text}/{@code receiver_text}),
* parses clean dates, and keeps the file/S3/thumbnail plumbing.
*
* <p>The {@code file} value is hostile input regardless of upstream trust (CWE-22 does not
* care that it came from our Python tool): its basename is validated with
* {@link #isValidImportFilename} and then resolved with canonical-path containment in
* {@link #findFileRecursive}.
*/
@Component
@RequiredArgsConstructor
@Slf4j
public class DocumentImporter {
static final List<String> REQUIRED_HEADERS = List.of(
"index", "file", "sender_person_id", "sender_name",
"receiver_person_ids", "receiver_names", "date_iso", "date_raw", "date_precision");
private final DocumentService documentService;
private final PersonService personService;
private final TagService tagService;
private final S3Client s3Client;
private final ThumbnailAsyncRunner thumbnailAsyncRunner;
@Value("${app.s3.bucket:familienarchiv}")
private String bucketName;
@Value("${app.import.dir:/import}")
private String importDir;
/** Outcome of loading the document sheet: processed count + per-file skips. */
public record LoadResult(int processed, List<ImportStatus.SkippedFile> skippedFiles) {}
// One transaction for the whole sheet keeps the Hibernate session open so an existing
// document's lazy receivers collection initialises during an idempotent re-import.
// Invoked cross-bean from the orchestrator, so the @Transactional proxy applies.
@Transactional
public LoadResult load(File artifact) {
List<CanonicalSheetReader.Row> rows = CanonicalSheetReader.readRows(artifact, REQUIRED_HEADERS);
int processed = 0;
List<ImportStatus.SkippedFile> skipped = new ArrayList<>();
for (CanonicalSheetReader.Row row : rows) {
String index = row.get("index");
if (index.isBlank()) continue;
Optional<ImportStatus.SkipReason> skipReason = importRow(row, index, skipped);
if (skipReason.isPresent()) {
skipped.add(new ImportStatus.SkippedFile(displayName(row, index), skipReason.get()));
} else {
processed++;
}
}
log.info("Imported {} documents from {} ({} skipped)", processed, artifact.getName(), skipped.size());
return new LoadResult(processed, skipped);
}
private Optional<ImportStatus.SkipReason> importRow(CanonicalSheetReader.Row row, String index,
List<ImportStatus.SkippedFile> skipped) {
Optional<File> resolved;
try {
resolved = resolveFile(row.get("file"));
} catch (InvalidImportFilenameException e) {
log.warn("Skipping import row {}: filename rejected", index);
return Optional.of(ImportStatus.SkipReason.INVALID_FILENAME_PATH_TRAVERSAL);
}
if (resolved.isPresent()) {
try {
if (!isPdfMagicBytes(resolved.get())) {
return Optional.of(ImportStatus.SkipReason.INVALID_PDF_SIGNATURE);
}
} catch (IOException e) {
log.error("Magic-byte check failed for row {}", index, e);
return Optional.of(ImportStatus.SkipReason.FILE_READ_ERROR);
}
}
return persist(row, index, resolved);
}
private Optional<ImportStatus.SkipReason> persist(CanonicalSheetReader.Row row, String index, Optional<File> file) {
Document existing = documentService.findByOriginalFilename(index).orElse(null);
if (existing != null && existing.getStatus() != DocumentStatus.PLACEHOLDER) {
return Optional.of(ImportStatus.SkipReason.ALREADY_EXISTS);
}
String s3Key = null;
String contentType = null;
DocumentStatus status = DocumentStatus.PLACEHOLDER;
if (file.isPresent()) {
contentType = probeContentType(file.get());
s3Key = "documents/" + UUID.randomUUID() + "_" + file.get().getName();
try {
uploadToS3(file.get(), s3Key, contentType);
status = DocumentStatus.UPLOADED;
} catch (Exception e) {
log.error("S3 upload failed for {}", file.get().getName(), e);
return Optional.of(ImportStatus.SkipReason.S3_UPLOAD_FAILED);
}
}
Document doc = buildDocument(row, index, existing, s3Key, contentType, status);
Document saved = documentService.save(doc);
if (file.isPresent()) {
thumbnailAsyncRunner.dispatchAfterCommit(saved.getId());
}
return Optional.empty();
}
private Document buildDocument(CanonicalSheetReader.Row row, String index, Document existing,
String s3Key, String contentType, DocumentStatus status) {
Document doc = existing != null ? existing
: Document.builder().originalFilename(index).build();
String senderName = row.get("sender_name");
String receiverNames = row.get("receiver_names");
Person sender = resolveSender(row.get("sender_person_id"), senderName);
Set<Person> receivers = resolveReceivers(row.get("receiver_person_ids"));
doc.setTitle(index);
doc.setStatus(status);
doc.setFilePath(s3Key);
doc.setContentType(contentType);
doc.setSender(sender);
doc.setSenderText(blankToNull(senderName));
// The canonical row is authoritative for receivers/tags (ADR-025): clear then
// re-populate so a shrunk set on re-import prunes stale links rather than
// accumulating them. The raw sender_text/receiver_text retention is separate.
doc.getReceivers().clear();
doc.getReceivers().addAll(receivers);
doc.setReceiverText(blankToNull(receiverNames));
doc.setDocumentDate(parseIsoDate(row.get("date_iso")));
doc.setMetaDatePrecision(parsePrecision(row.get("date_precision")));
doc.setMetaDateEnd(parseIsoDate(row.get("date_end")));
doc.setMetaDateRaw(blankToNull(row.get("date_raw")));
doc.setLocation(blankToNull(row.get("location")));
doc.setSummary(blankToNull(row.get("summary")));
attachTag(doc, row.get("tags"));
doc.setMetadataComplete(doc.getDocumentDate() != null || sender != null || !receivers.isEmpty());
return doc;
}
// ─── attribution routing — register-first, always retain raw ─────────────────────
private Person resolveSender(String slug, String rawName) {
if (slug.isBlank()) return null;
return resolvePerson(slug, rawName);
}
private Set<Person> resolveReceivers(String slugs) {
Set<Person> receivers = new LinkedHashSet<>();
for (String slug : CanonicalSheetReader.splitList(slugs)) {
receivers.add(resolvePerson(slug, slug));
}
return receivers;
}
private Person resolvePerson(String slug, String rawName) {
return personService.findBySourceRef(slug)
.orElseGet(() -> personService.upsertBySourceRef(PersonUpsertCommand.builder()
.sourceRef(slug)
.lastName(blankToNull(rawName) == null ? slug : rawName)
.personType(PersonType.PERSON)
.provisional(true)
.build()));
}
// Authoritative: the canonical row defines the document's tags exactly. Clearing first
// means a tag removed from the row is pruned on re-import (ADR-025).
private void attachTag(Document doc, String tagPath) {
doc.getTags().clear();
if (tagPath.isBlank()) return;
tagService.findBySourceRef(tagPath).ifPresent(tag -> doc.getTags().add(tag));
}
// ─── clean-value parsing (no semantic logic) ─────────────────────────────────────
private static LocalDate parseIsoDate(String value) {
if (value == null || value.isBlank()) return null;
try {
return LocalDate.parse(value.trim());
} catch (DateTimeParseException e) {
return null;
}
}
private static DatePrecision parsePrecision(String value) {
if (value == null || value.isBlank()) return DatePrecision.UNKNOWN;
try {
return DatePrecision.valueOf(value.trim());
} catch (IllegalArgumentException e) {
return DatePrecision.UNKNOWN;
}
}
// ─── file handling + S3 (small ≤20-line methods) ─────────────────────────────────
private Optional<File> resolveFile(String fileColumn) {
if (fileColumn == null || fileColumn.isBlank()) return Optional.empty();
String basename = basenameOf(fileColumn);
if (!isValidImportFilename(basename)) {
throw new InvalidImportFilenameException();
}
return findFileRecursive(basename);
}
private static String basenameOf(String fileColumn) {
String normalized = fileColumn.replace('\\', '/');
int lastSlash = normalized.lastIndexOf('/');
return lastSlash < 0 ? normalized.trim() : normalized.substring(lastSlash + 1).trim();
}
private String probeContentType(File file) {
try {
String probed = Files.probeContentType(file.toPath());
return probed != null ? probed : "application/octet-stream";
} catch (IOException e) {
return "application/octet-stream";
}
}
private void uploadToS3(File file, String s3Key, String contentType) {
s3Client.putObject(PutObjectRequest.builder()
.bucket(bucketName)
.key(s3Key)
.contentType(contentType)
.build(),
RequestBody.fromFile(file));
}
// ─── security guards — ported verbatim from MassImportService — do not weaken ────
private boolean isValidImportFilename(String filename) {
if (filename == null || filename.isBlank()) return false;
if (filename.contains("/")) return false;
if (filename.contains("\\")) return false;
if (filename.contains("")) return false; // U+2215 DIVISION SLASH
if (filename.contains("")) return false; // U+FF0F FULLWIDTH SOLIDUS
if (filename.contains("")) return false; // U+29F5 REVERSE SOLIDUS OPERATOR
if (filename.contains("..")) return false;
if (filename.equals(".")) return false;
if (filename.contains("\0")) return false;
if (Paths.get(filename).isAbsolute()) return false;
return true;
}
// package-private: a Mockito spy in tests can override to inject IOException
InputStream openFileStream(File file) throws IOException {
return new FileInputStream(file);
}
private boolean isPdfMagicBytes(File file) throws IOException {
try (InputStream is = openFileStream(file)) {
byte[] header = is.readNBytes(4);
return header.length == 4
&& header[0] == 0x25 // %
&& header[1] == 0x50 // P
&& header[2] == 0x44 // D
&& header[3] == 0x46; // F
}
}
private Optional<File> findFileRecursive(String filename) {
File baseDir = new File(importDir);
try (Stream<Path> walk = Files.walk(baseDir.toPath())) {
Optional<Path> match = walk.filter(p -> !Files.isDirectory(p))
.filter(p -> p.getFileName().toString().equals(filename))
.findFirst();
if (match.isEmpty()) return Optional.empty();
File candidate = match.get().toFile();
String baseDirCanonical = baseDir.getCanonicalPath();
if (!candidate.getCanonicalPath().startsWith(baseDirCanonical + File.separator)) {
throw DomainException.internal(ErrorCode.INTERNAL_ERROR, "Path escape detected: " + candidate);
}
return Optional.of(candidate);
} catch (IOException e) {
return Optional.empty();
}
}
private static String displayName(CanonicalSheetReader.Row row, String index) {
String file = row.get("file");
return file.isBlank() ? index : basenameOf(file);
}
private static String blankToNull(String s) {
return (s == null || s.isBlank()) ? null : s;
}
private static final class InvalidImportFilenameException extends RuntimeException {
}
}

View File

@@ -1,50 +0,0 @@
package org.raddatz.familienarchiv.importing;
import com.fasterxml.jackson.annotation.JsonIgnore;
import com.fasterxml.jackson.annotation.JsonProperty;
import io.swagger.v3.oas.annotations.media.Schema;
import java.time.LocalDateTime;
import java.util.List;
/**
* Async import state surfaced to {@code admin/system/ImportStatusCard.svelte} via the
* generated types. The shape ({@code state, statusCode, processed, skippedFiles, skipped})
* is kept verbatim from the retired MassImportService so the admin UI keeps working.
*/
public record ImportStatus(
@Schema(requiredMode = Schema.RequiredMode.REQUIRED) State state,
@Schema(requiredMode = Schema.RequiredMode.REQUIRED) String statusCode,
@JsonIgnore String message,
@Schema(requiredMode = Schema.RequiredMode.REQUIRED) int processed,
@Schema(requiredMode = Schema.RequiredMode.REQUIRED) List<SkippedFile> skippedFiles,
LocalDateTime startedAt
) {
public enum State { IDLE, RUNNING, DONE, FAILED }
public enum SkipReason {
INVALID_FILENAME_PATH_TRAVERSAL,
INVALID_PDF_SIGNATURE,
FILE_READ_ERROR,
ALREADY_EXISTS,
S3_UPLOAD_FAILED
}
public record SkippedFile(
@Schema(requiredMode = Schema.RequiredMode.REQUIRED) String filename,
@Schema(requiredMode = Schema.RequiredMode.REQUIRED) SkipReason reason
) {}
// Note: @Schema on a record accessor method is not picked up by SpringDoc; the
// "skipped" count is a computed convenience field derived from skippedFiles.size().
@JsonProperty("skipped")
public int skipped() {
return skippedFiles.size();
}
/** Defensive-copy constructor — callers cannot mutate the stored list after construction. */
public ImportStatus {
skippedFiles = List.copyOf(skippedFiles);
}
}

View File

@@ -0,0 +1,472 @@
package org.raddatz.familienarchiv.importing;
import com.fasterxml.jackson.annotation.JsonIgnore;
import com.fasterxml.jackson.annotation.JsonProperty;
import io.swagger.v3.oas.annotations.media.Schema;
import lombok.RequiredArgsConstructor;
import lombok.extern.slf4j.Slf4j;
import org.apache.poi.ss.usermodel.*;
import java.util.Objects;
import org.raddatz.familienarchiv.exception.DomainException;
import org.raddatz.familienarchiv.exception.ErrorCode;
import org.raddatz.familienarchiv.document.Document;
import org.raddatz.familienarchiv.document.DocumentService;
import org.raddatz.familienarchiv.document.DocumentStatus;
import org.raddatz.familienarchiv.document.ThumbnailAsyncRunner;
import org.raddatz.familienarchiv.person.Person;
import org.raddatz.familienarchiv.tag.Tag;
import org.raddatz.familienarchiv.person.Person;
import org.raddatz.familienarchiv.person.PersonNameParser;
import org.raddatz.familienarchiv.person.PersonService;
import org.raddatz.familienarchiv.tag.TagService;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.scheduling.annotation.Async;
import org.springframework.stereotype.Service;
import org.springframework.transaction.annotation.Transactional;
import org.w3c.dom.Element;
import org.w3c.dom.NodeList;
import software.amazon.awssdk.core.sync.RequestBody;
import software.amazon.awssdk.services.s3.S3Client;
import software.amazon.awssdk.services.s3.model.PutObjectRequest;
import javax.xml.parsers.DocumentBuilderFactory;
import java.io.File;
import java.io.FileInputStream;
import java.io.IOException;
import java.io.InputStream;
import java.nio.file.Files;
import java.nio.file.Path;
import java.nio.file.Paths;
import java.time.LocalDate;
import java.time.LocalDateTime;
import java.time.format.DateTimeFormatter;
import java.time.format.DateTimeParseException;
import java.util.ArrayList;
import java.util.List;
import java.util.Locale;
import java.util.Optional;
import java.util.UUID;
import java.util.stream.Stream;
import java.util.zip.ZipFile;
@Service
@RequiredArgsConstructor
@Slf4j
public class MassImportService {
public enum State { IDLE, RUNNING, DONE, FAILED }
public record SkippedFile(
@Schema(requiredMode = Schema.RequiredMode.REQUIRED) String filename,
@Schema(requiredMode = Schema.RequiredMode.REQUIRED) String reason
) {}
public record ImportStatus(
@Schema(requiredMode = Schema.RequiredMode.REQUIRED) State state,
@Schema(requiredMode = Schema.RequiredMode.REQUIRED) String statusCode,
@JsonIgnore String message,
@Schema(requiredMode = Schema.RequiredMode.REQUIRED) int processed,
@Schema(requiredMode = Schema.RequiredMode.REQUIRED) List<SkippedFile> skippedFiles,
LocalDateTime startedAt
) {
// Note: @Schema on a record accessor method is not picked up by SpringDoc; the
// "skipped" count is a computed convenience field derived from skippedFiles.size().
@JsonProperty("skipped")
public int skipped() { return skippedFiles.size(); }
/** Defensive-copy constructor — callers cannot mutate the stored list after construction. */
public ImportStatus {
skippedFiles = List.copyOf(skippedFiles);
}
}
record ProcessResult(int processed, List<SkippedFile> skippedFiles) {}
private volatile ImportStatus currentStatus = new ImportStatus(State.IDLE, "IMPORT_IDLE", "Kein Import gestartet.", 0, List.of(), null);
public ImportStatus getStatus() {
return currentStatus;
}
private final DocumentService documentService;
private final PersonService personService;
private final TagService tagService;
private final S3Client s3Client;
private final ThumbnailAsyncRunner thumbnailAsyncRunner;
@Value("${app.s3.bucket}")
private String bucketName;
@Value("${app.import.col.index:0}")
private int colIndex;
@Value("${app.import.col.box:1}")
private int colBox;
@Value("${app.import.col.folder:2}")
private int colFolder;
@Value("${app.import.col.sender:3}")
private int colSender;
@Value("${app.import.col.receivers:5}")
private int colReceivers;
@Value("${app.import.col.date:7}")
private int colDate;
@Value("${app.import.col.location:9}")
private int colLocation;
@Value("${app.import.col.tags:10}")
private int colTags;
@Value("${app.import.col.summary:11}")
private int colSummary;
@Value("${app.import.col.transcription:13}")
private int colTranscription;
@Value("${app.import.dir:/import}")
private String importDir;
private static final DateTimeFormatter GERMAN_DATE = DateTimeFormatter.ofPattern("d. MMMM yyyy", Locale.GERMAN);
// ODS XML namespaces
private static final String NS_TABLE = "urn:oasis:names:tc:opendocument:xmlns:table:1.0";
private static final String NS_TEXT = "urn:oasis:names:tc:opendocument:xmlns:text:1.0";
// We only need up to this many columns; caps repeated-empty-cell expansion
private static final int MAX_COLS = 20;
@Async
public void runImportAsync() {
if (currentStatus.state() == State.RUNNING) {
throw DomainException.conflict(ErrorCode.IMPORT_ALREADY_RUNNING, "A mass import is already in progress");
}
currentStatus = new ImportStatus(State.RUNNING, "IMPORT_RUNNING", "Import läuft...", 0, List.of(), LocalDateTime.now());
try {
File spreadsheet = findSpreadsheetFile();
log.info("Starte Massenimport aus: {}", spreadsheet.getAbsolutePath());
ProcessResult result = processRows(readSpreadsheet(spreadsheet));
currentStatus = new ImportStatus(State.DONE, "IMPORT_DONE",
"Import abgeschlossen. " + result.processed() + " Dokumente verarbeitet.",
result.processed(), result.skippedFiles(), currentStatus.startedAt());
} catch (NoSpreadsheetException e) {
log.error("Massenimport fehlgeschlagen: keine Tabellendatei", e);
currentStatus = new ImportStatus(State.FAILED, "IMPORT_FAILED_NO_SPREADSHEET",
"Fehler: " + e.getMessage(), 0, List.of(), currentStatus.startedAt());
} catch (Exception e) {
log.error("Massenimport fehlgeschlagen", e);
currentStatus = new ImportStatus(State.FAILED, "IMPORT_FAILED_INTERNAL",
"Fehler: " + e.getMessage(), 0, List.of(), currentStatus.startedAt());
}
}
private static class NoSpreadsheetException extends RuntimeException {
NoSpreadsheetException(String message) { super(message); }
}
private File findSpreadsheetFile() throws IOException {
try (Stream<Path> files = Files.list(Paths.get(importDir))) {
return files
.filter(p -> {
String name = p.toString().toLowerCase();
return name.endsWith(".ods") || name.endsWith(".xlsx") || name.endsWith(".xls");
})
.findFirst()
.orElseThrow(() -> new NoSpreadsheetException(
"Keine Tabellendatei (.ods/.xlsx/.xls) in " + importDir + " gefunden!"))
.toFile();
}
}
// --- Spreadsheet reading (format-specific, produces neutral List<List<String>>) ---
private List<List<String>> readSpreadsheet(File file) throws Exception {
String name = file.getName().toLowerCase();
if (name.endsWith(".ods")) {
return readOds(file);
}
return readXlsx(file);
}
/**
* Reads an ODS file by parsing its content.xml directly (no extra library needed).
* ODS is a ZIP archive; content.xml holds the spreadsheet data as XML.
*/
List<List<String>> readOds(File file) throws Exception {
List<List<String>> result = new ArrayList<>();
try (ZipFile zip = new ZipFile(file)) {
var entry = zip.getEntry("content.xml");
if (entry == null) throw new RuntimeException("Ungültige ODS-Datei: content.xml fehlt");
var factory = XxeSafeXmlParser.hardenedFactory();
factory.setNamespaceAware(true);
var builder = factory.newDocumentBuilder();
var doc = builder.parse(zip.getInputStream(entry));
NodeList tables = doc.getElementsByTagNameNS(NS_TABLE, "table");
if (tables.getLength() == 0) return result;
var table = (Element) tables.item(0);
NodeList rows = table.getElementsByTagNameNS(NS_TABLE, "table-row");
for (int i = 0; i < rows.getLength(); i++) {
var row = (Element) rows.item(i);
List<String> rowData = new ArrayList<>();
NodeList cells = row.getElementsByTagNameNS(NS_TABLE, "table-cell");
for (int j = 0; j < cells.getLength() && rowData.size() < MAX_COLS; j++) {
var cell = (Element) cells.item(j);
// Read the display text (first <text:p>)
String value = "";
NodeList textNodes = cell.getElementsByTagNameNS(NS_TEXT, "p");
if (textNodes.getLength() > 0) {
value = textNodes.item(0).getTextContent().trim();
}
// Expand number-columns-repeated (capped at MAX_COLS)
String repeatAttr = cell.getAttributeNS(NS_TABLE, "number-columns-repeated");
int repeat = repeatAttr.isEmpty() ? 1 : Integer.parseInt(repeatAttr);
repeat = Math.min(repeat, MAX_COLS - rowData.size());
for (int r = 0; r < repeat; r++) {
rowData.add(value);
}
}
result.add(rowData);
}
}
return result;
}
/** Reads an XLSX/XLS file using Apache POI. Converts all cells to strings. */
private List<List<String>> readXlsx(File file) throws Exception {
List<List<String>> result = new ArrayList<>();
try (FileInputStream fis = new FileInputStream(file);
Workbook workbook = WorkbookFactory.create(fis)) {
Sheet sheet = workbook.getSheetAt(0);
for (int i = 0; i <= sheet.getLastRowNum(); i++) {
Row row = sheet.getRow(i);
List<String> rowData = new ArrayList<>();
if (row != null) {
for (int j = 0; j < MAX_COLS; j++) {
rowData.add(xlsxCellToString(row.getCell(j)));
}
}
result.add(rowData);
}
}
return result;
}
private String xlsxCellToString(Cell cell) {
if (cell == null) return "";
return switch (cell.getCellType()) {
case STRING -> cell.getStringCellValue();
case NUMERIC -> {
if (DateUtil.isCellDateFormatted(cell)) {
yield cell.getLocalDateTimeCellValue().toLocalDate().toString(); // ISO
}
yield String.valueOf((int) cell.getNumericCellValue());
}
case BOOLEAN -> String.valueOf(cell.getBooleanCellValue());
default -> "";
};
}
// --- Import logic (works on neutral List<String> rows) ---
private ProcessResult processRows(List<List<String>> rows) {
int processed = 0;
List<SkippedFile> skippedFiles = new ArrayList<>();
for (int i = 1; i < rows.size(); i++) { // skip header row
List<String> cells = rows.get(i);
String index = getCell(cells, colIndex);
if (index.isBlank()) continue;
String filename = index.contains(".") ? index : index + ".pdf";
Optional<File> fileOnDisk = findFileRecursive(filename);
if (fileOnDisk.isEmpty()) {
log.warn("Datei nicht gefunden, importiere nur Metadaten: {}", filename);
}
if (fileOnDisk.isPresent()) {
try {
if (!isPdfMagicBytes(fileOnDisk.get())) {
log.warn("Überspringe {}: Datei beginnt nicht mit %PDF-Signatur", filename);
skippedFiles.add(new SkippedFile(filename, "INVALID_PDF_SIGNATURE"));
continue;
}
} catch (IOException e) {
log.error("Fehler beim Prüfen der Magic-Bytes für {}", filename, e);
skippedFiles.add(new SkippedFile(filename, "FILE_READ_ERROR"));
continue;
}
}
Optional<String> skipReason = importSingleDocument(cells, fileOnDisk, filename, index);
if (skipReason.isPresent()) {
skippedFiles.add(new SkippedFile(filename, skipReason.get()));
} else {
processed++;
}
}
return new ProcessResult(processed, skippedFiles);
}
// package-private: Mockito spy in tests can override to inject IOException
InputStream openFileStream(File file) throws IOException {
return new FileInputStream(file);
}
private boolean isPdfMagicBytes(File file) throws IOException {
try (InputStream is = openFileStream(file)) {
byte[] header = is.readNBytes(4);
return header.length == 4
&& header[0] == 0x25 // %
&& header[1] == 0x50 // P
&& header[2] == 0x44 // D
&& header[3] == 0x46; // F
}
}
/**
* Imports a single document row.
*
* @return empty Optional on success; an Optional containing the skip reason on failure/skip.
*/
@Transactional
protected Optional<String> importSingleDocument(List<String> cells, Optional<File> file, String originalFilename, String index) {
Optional<Document> existing = documentService.findByOriginalFilename(originalFilename);
if (existing.isPresent() && existing.get().getStatus() != DocumentStatus.PLACEHOLDER) {
log.info("Dokument {} existiert bereits, überspringe.", originalFilename);
return Optional.of("ALREADY_EXISTS");
}
String archiveBox = getCell(cells, colBox);
String archiveFolder = getCell(cells, colFolder);
String senderRaw = getCell(cells, colSender);
String receiversRaw = getCell(cells, colReceivers);
LocalDate date = parseDate(getCell(cells, colDate));
String location = getCell(cells, colLocation);
String tagRaw = getCell(cells, colTags);
String summary = getCell(cells, colSummary);
String transcription = getCell(cells, colTranscription);
String s3Key = null;
String contentType = null;
DocumentStatus status = DocumentStatus.PLACEHOLDER;
if (file.isPresent()) {
try {
contentType = Files.probeContentType(file.get().toPath());
} catch (IOException e) {
contentType = null;
}
if (contentType == null) contentType = "application/octet-stream";
s3Key = "documents/" + UUID.randomUUID() + "_" + file.get().getName();
try {
s3Client.putObject(PutObjectRequest.builder()
.bucket(bucketName)
.key(s3Key)
.contentType(contentType)
.build(),
RequestBody.fromFile(file.get()));
status = DocumentStatus.UPLOADED;
} catch (Exception e) {
log.error("S3 Upload Fehler für {}", file.get().getName(), e);
return Optional.of("S3_UPLOAD_FAILED");
}
}
Person sender = senderRaw.isBlank() ? null : findOrCreatePerson(senderRaw);
List<Person> receivers = PersonNameParser.parseReceivers(receiversRaw).stream()
.map(this::findOrCreatePerson)
.filter(Objects::nonNull)
.toList();
Tag tag = null;
if (!tagRaw.isBlank()) {
tag = tagService.findOrCreate(tagRaw);
}
Document doc = existing.orElse(Document.builder()
.originalFilename(originalFilename)
.build());
// Heuristic: mark as complete if at least one key field is present in the spreadsheet row
boolean metadataComplete = date != null || !senderRaw.isBlank() || !receiversRaw.isBlank();
doc.setTitle(buildTitle(index, date, location));
doc.setFilePath(s3Key);
doc.setContentType(contentType);
doc.setStatus(status);
doc.setArchiveBox(archiveBox.isBlank() ? null : archiveBox);
doc.setArchiveFolder(archiveFolder.isBlank() ? null : archiveFolder);
doc.setDocumentDate(date);
doc.setLocation(location.isBlank() ? null : location);
doc.setSummary(summary.isBlank() ? null : summary);
doc.setTranscription(transcription.isBlank() ? null : transcription);
doc.setSender(sender);
doc.getReceivers().addAll(receivers);
if (tag != null) doc.getTags().add(tag);
doc.setMetadataComplete(metadataComplete);
Document saved = documentService.save(doc);
if (file.isPresent()) {
thumbnailAsyncRunner.dispatchAfterCommit(saved.getId());
}
log.info("Importiert{}: {}", file.isEmpty() ? " (nur Metadaten)" : "", originalFilename);
return Optional.empty();
}
// --- Helpers ---
private String getCell(List<String> cells, int col) {
if (col >= cells.size()) return "";
String val = cells.get(col);
return val == null ? "" : val.trim();
}
private LocalDate parseDate(String value) {
if (value == null || value.isBlank()) return null;
try {
return LocalDate.parse(value.trim());
} catch (DateTimeParseException e) {
return null;
}
}
private String buildTitle(String index, LocalDate date, String location) {
StringBuilder sb = new StringBuilder(index);
if (date != null) {
sb.append(" \u2013 ").append(date.format(GERMAN_DATE));
}
if (location != null && !location.isBlank()) {
sb.append(" \u2013 ").append(location);
}
return sb.toString();
}
private Person findOrCreatePerson(String rawName) {
return personService.findOrCreateByAlias(rawName);
}
private Optional<File> findFileRecursive(String filename) {
try (Stream<Path> walk = Files.walk(Paths.get(importDir))) {
return walk.filter(p -> !Files.isDirectory(p))
.filter(p -> p.getFileName().toString().equals(filename))
.map(Path::toFile)
.findFirst();
} catch (IOException e) {
return Optional.empty();
}
}
}

View File

@@ -1,69 +0,0 @@
package org.raddatz.familienarchiv.importing;
import lombok.RequiredArgsConstructor;
import lombok.extern.slf4j.Slf4j;
import org.raddatz.familienarchiv.person.PersonService;
import org.raddatz.familienarchiv.person.PersonType;
import org.raddatz.familienarchiv.person.PersonUpsertCommand;
import org.springframework.stereotype.Component;
import java.io.File;
import java.time.LocalDate;
import java.time.format.DateTimeParseException;
import java.util.List;
/**
* Loads {@code canonical-persons.xlsx} (the register) into the person domain via
* {@link PersonService}, upserting each person by the normalizer {@code person_id}
* (source_ref). Register persons are confident identities, so {@code provisional} is
* driven by the sheet's already-clean value (normally {@code False}).
*/
@Component
@RequiredArgsConstructor
@Slf4j
public class PersonRegisterImporter {
static final List<String> REQUIRED_HEADERS = List.of("person_id", "last_name", "first_name", "provisional");
private final PersonService personService;
public int load(File artifact) {
List<CanonicalSheetReader.Row> rows = CanonicalSheetReader.readRows(artifact, REQUIRED_HEADERS);
int processed = 0;
for (CanonicalSheetReader.Row row : rows) {
String personId = row.get("person_id");
if (personId.isBlank()) continue;
personService.upsertBySourceRef(toCommand(row, personId));
processed++;
}
log.info("Imported {} register persons from {}", processed, artifact.getName());
return processed;
}
private PersonUpsertCommand toCommand(CanonicalSheetReader.Row row, String personId) {
return PersonUpsertCommand.builder()
.sourceRef(personId)
.lastName(blankToNull(row.get("last_name")))
.firstName(blankToNull(row.get("first_name")))
.maidenName(blankToNull(row.get("maiden_name")))
.notes(blankToNull(row.get("notes")))
.birthYear(yearOf(row.get("birth_date")))
.deathYear(yearOf(row.get("death_date")))
.personType(PersonType.PERSON)
.provisional(Boolean.parseBoolean(row.get("provisional")))
.build();
}
private static Integer yearOf(String isoDate) {
if (isoDate == null || isoDate.isBlank()) return null;
try {
return LocalDate.parse(isoDate.trim()).getYear();
} catch (DateTimeParseException e) {
return null;
}
}
private static String blankToNull(String s) {
return (s == null || s.isBlank()) ? null : s;
}
}

View File

@@ -1,135 +0,0 @@
package org.raddatz.familienarchiv.importing;
import com.fasterxml.jackson.databind.JsonNode;
import com.fasterxml.jackson.databind.ObjectMapper;
import lombok.RequiredArgsConstructor;
import lombok.extern.slf4j.Slf4j;
import org.raddatz.familienarchiv.exception.DomainException;
import org.raddatz.familienarchiv.exception.ErrorCode;
import org.raddatz.familienarchiv.person.Person;
import org.raddatz.familienarchiv.person.PersonService;
import org.raddatz.familienarchiv.person.PersonType;
import org.raddatz.familienarchiv.person.PersonUpsertCommand;
import org.raddatz.familienarchiv.person.relationship.RelationType;
import org.raddatz.familienarchiv.person.relationship.RelationshipService;
import org.raddatz.familienarchiv.person.relationship.dto.CreateRelationshipRequest;
import org.springframework.stereotype.Component;
import java.io.File;
import java.util.HashMap;
import java.util.Map;
import java.util.UUID;
/**
* Loads {@code canonical-persons-tree.json} into the person + relationship domains.
* Tree persons are upserted via {@link PersonService} keyed on the shared
* {@code personId} slug (which Phase 1 #670 now emits into the tree), so they reconcile
* with the register rather than duplicating it. Relationships reference persons by the
* tree's local {@code rowId}; each side is mapped to the upserted person's UUID and
* created through {@link RelationshipService} (never the relationship repository —
* layering rule). A duplicate relationship on re-import is swallowed for idempotency.
*/
@Component
@RequiredArgsConstructor
@Slf4j
public class PersonTreeImporter {
// The tree JSON is a local implementation detail, not a shared API payload, so the
// importer owns its own mapper rather than depending on the web ObjectMapper bean.
private static final ObjectMapper OBJECT_MAPPER = new ObjectMapper();
private final PersonService personService;
private final RelationshipService relationshipService;
public int load(File artifact) {
JsonNode root = readTree(artifact);
Map<String, UUID> idByRowId = upsertPersons(root.path("persons"));
int relationships = createRelationships(root.path("relationships"), idByRowId);
log.info("Imported {} tree persons and {} relationships from {}",
idByRowId.size(), relationships, artifact.getName());
return idByRowId.size();
}
private JsonNode readTree(File artifact) {
try {
return OBJECT_MAPPER.readTree(artifact);
} catch (Exception e) {
throw DomainException.badRequest(ErrorCode.IMPORT_ARTIFACT_INVALID,
"Unreadable canonical artifact: " + artifact.getName());
}
}
private Map<String, UUID> upsertPersons(JsonNode persons) {
Map<String, UUID> idByRowId = new HashMap<>();
for (JsonNode node : persons) {
String personId = text(node, "personId");
if (personId.isBlank()) continue;
Person person = personService.upsertBySourceRef(toCommand(node, personId));
idByRowId.put(text(node, "rowId"), person.getId());
}
return idByRowId;
}
private PersonUpsertCommand toCommand(JsonNode node, String personId) {
return PersonUpsertCommand.builder()
.sourceRef(personId)
.lastName(blankToNull(text(node, "lastName")))
.firstName(blankToNull(text(node, "firstName")))
.maidenName(blankToNull(text(node, "maidenName")))
.notes(blankToNull(text(node, "notes")))
.birthYear(intOrNull(node, "birthYear"))
.deathYear(intOrNull(node, "deathYear"))
.familyMember(node.path("familyMember").asBoolean(false))
.personType(PersonType.PERSON)
.provisional(false)
.build();
}
private int createRelationships(JsonNode relationships, Map<String, UUID> idByRowId) {
int created = 0;
for (JsonNode node : relationships) {
// Trap: a relationship node's personId / relatedPersonId fields carry the tree's
// local rowId (e.g. "row_a"), NOT a person slug. They are resolved through
// idByRowId to the upserted person's UUID.
UUID person = idByRowId.get(text(node, "personId"));
UUID related = idByRowId.get(text(node, "relatedPersonId"));
if (person == null || related == null) {
log.warn("Skipping tree relationship with unresolved rowId: {} -> {}",
text(node, "personId"), text(node, "relatedPersonId"));
continue;
}
if (addRelationshipIdempotently(person, related, text(node, "type"))) {
created++;
}
}
return created;
}
private boolean addRelationshipIdempotently(UUID person, UUID related, String type) {
try {
relationshipService.addRelationship(person,
new CreateRelationshipRequest(related, RelationType.valueOf(type), null, null, null));
return true;
} catch (DomainException e) {
if (e.getCode() == ErrorCode.DUPLICATE_RELATIONSHIP
|| e.getCode() == ErrorCode.CIRCULAR_RELATIONSHIP) {
return false;
}
throw e;
}
}
private static String text(JsonNode node, String field) {
JsonNode value = node.get(field);
return value == null || value.isNull() ? "" : value.asText();
}
private static Integer intOrNull(JsonNode node, String field) {
JsonNode value = node.get(field);
return value == null || value.isNull() ? null : value.asInt();
}
private static String blankToNull(String s) {
return (s == null || s.isBlank()) ? null : s;
}
}

View File

@@ -1,54 +0,0 @@
package org.raddatz.familienarchiv.importing;
import lombok.RequiredArgsConstructor;
import lombok.extern.slf4j.Slf4j;
import org.raddatz.familienarchiv.tag.Tag;
import org.raddatz.familienarchiv.tag.TagService;
import org.springframework.stereotype.Component;
import java.io.File;
import java.util.HashMap;
import java.util.List;
import java.util.Map;
import java.util.UUID;
/**
* Loads {@code canonical-tag-tree.xlsx} into the tag domain via {@link TagService},
* upserting each tag by its canonical {@code tag_path} (the source_ref). Parent links are
* resolved by the parent's path, which is the child path with its last {@code /segment}
* stripped. Rows are emitted parents-first by the normalizer, so a parent is always
* resolved before any child references it.
*/
@Component
@RequiredArgsConstructor
@Slf4j
public class TagTreeImporter {
static final List<String> REQUIRED_HEADERS = List.of("tag_path", "parent_name", "tag_name");
private static final String PATH_SEPARATOR = "/";
private final TagService tagService;
public int load(File artifact) {
List<CanonicalSheetReader.Row> rows = CanonicalSheetReader.readRows(artifact, REQUIRED_HEADERS);
Map<String, UUID> idByPath = new HashMap<>();
int processed = 0;
for (CanonicalSheetReader.Row row : rows) {
String path = row.get("tag_path");
if (path.isBlank()) continue;
UUID parentId = resolveParentId(path, idByPath);
Tag tag = tagService.upsertBySourceRef(path, row.get("tag_name"), parentId);
idByPath.put(path, tag.getId());
processed++;
}
log.info("Imported {} tags from {}", processed, artifact.getName());
return processed;
}
private UUID resolveParentId(String path, Map<String, UUID> idByPath) {
int lastSeparator = path.lastIndexOf(PATH_SEPARATOR);
if (lastSeparator < 0) return null;
String parentPath = path.substring(0, lastSeparator);
return idByPath.get(parentPath);
}
}

View File

@@ -0,0 +1,20 @@
package org.raddatz.familienarchiv.importing;
import javax.xml.parsers.DocumentBuilderFactory;
import javax.xml.parsers.ParserConfigurationException;
class XxeSafeXmlParser {
private XxeSafeXmlParser() {}
static DocumentBuilderFactory hardenedFactory() throws ParserConfigurationException {
var factory = DocumentBuilderFactory.newInstance();
factory.setFeature("http://apache.org/xml/features/disallow-doctype-decl", true);
factory.setFeature("http://xml.org/sax/features/external-general-entities", false);
factory.setFeature("http://xml.org/sax/features/external-parameter-entities", false);
factory.setFeature("http://apache.org/xml/features/nonvalidating/load-external-dtd", false);
factory.setXIncludeAware(false);
factory.setExpandEntityReferences(false);
return factory;
}
}

View File

@@ -57,18 +57,6 @@ public class Person {
@Schema(requiredMode = Schema.RequiredMode.REQUIRED)
private boolean familyMember = false;
// The normalizer person_id — join key and re-import idempotency key. Null for manually
// created persons; unique among non-null values (see ADR-025).
@Column(name = "source_ref")
private String sourceRef;
// A provisional person is one the importer inferred but could not confidently identify.
// Distinct from familyMember (a genealogical fact); set true only by the importer (Phase 3).
@Column(name = "provisional", nullable = false)
@Builder.Default
@Schema(requiredMode = Schema.RequiredMode.REQUIRED)
private boolean provisional = false;
// Entity-graph navigation for JPA JOIN queries (e.g. DocumentSpecifications.hasText).
// Uses entity relationship rather than cross-domain repository access, avoiding a
// separate DB roundtrip while respecting domain boundaries.

View File

@@ -32,9 +32,6 @@ public interface PersonRepository extends JpaRepository<Person, UUID> {
// Lookup by full alias string, used during ODS mass import
Optional<Person> findByAliasIgnoreCase(String alias);
// Lookup by the normalizer person_id, used for idempotent canonical re-import (Phase 3).
Optional<Person> findBySourceRef(String sourceRef);
// Exact first+last name match, used for filename-based sender lookup
Optional<Person> findByFirstNameIgnoreCaseAndLastNameIgnoreCase(String firstName, String lastName);
@@ -44,7 +41,7 @@ public interface PersonRepository extends JpaRepository<Person, UUID> {
SELECT p.id, p.title, p.first_name AS firstName, p.last_name AS lastName,
p.person_type AS personType,
p.alias, p.birth_year AS birthYear, p.death_year AS deathYear, p.notes,
p.family_member AS familyMember, p.provisional AS provisional,
p.family_member AS familyMember,
(SELECT COUNT(*) FROM documents d WHERE d.sender_id = p.id)
+ (SELECT COUNT(*) FROM document_receivers dr WHERE dr.person_id = p.id) AS documentCount
FROM persons p
@@ -57,7 +54,7 @@ public interface PersonRepository extends JpaRepository<Person, UUID> {
SELECT p.id, p.title, p.first_name AS firstName, p.last_name AS lastName,
p.person_type AS personType,
p.alias, p.birth_year AS birthYear, p.death_year AS deathYear, p.notes,
p.family_member AS familyMember, p.provisional AS provisional,
p.family_member AS familyMember,
(SELECT COUNT(*) FROM documents d WHERE d.sender_id = p.id)
+ (SELECT COUNT(*) FROM document_receivers dr WHERE dr.person_id = p.id) AS documentCount
FROM persons p
@@ -66,7 +63,7 @@ public interface PersonRepository extends JpaRepository<Person, UUID> {
OR LOWER(CONCAT(p.last_name,' ',COALESCE(p.first_name,''))) LIKE LOWER(CONCAT('%',:query,'%'))
OR LOWER(p.alias) LIKE LOWER(CONCAT('%',:query,'%'))
OR LOWER(a.last_name) LIKE LOWER(CONCAT('%',:query,'%'))
GROUP BY p.id, p.title, p.first_name, p.last_name, p.person_type, p.alias, p.birth_year, p.death_year, p.notes, p.family_member, p.provisional
GROUP BY p.id, p.title, p.first_name, p.last_name, p.person_type, p.alias, p.birth_year, p.death_year, p.notes, p.family_member
ORDER BY p.last_name ASC, p.first_name ASC
""",
nativeQuery = true)
@@ -78,7 +75,7 @@ public interface PersonRepository extends JpaRepository<Person, UUID> {
SELECT p.id, p.title, p.first_name AS firstName, p.last_name AS lastName,
p.person_type AS personType,
p.alias, p.birth_year AS birthYear, p.death_year AS deathYear, p.notes,
p.family_member AS familyMember, p.provisional AS provisional,
p.family_member AS familyMember,
(SELECT COUNT(*) FROM documents d WHERE d.sender_id = p.id)
+ (SELECT COUNT(*) FROM document_receivers dr WHERE dr.person_id = p.id) AS documentCount
FROM persons p

View File

@@ -80,11 +80,6 @@ public class PersonService {
return personRepository.findByFirstNameIgnoreCaseAndLastNameIgnoreCase(firstName, lastName);
}
/** Lookup by the normalizer person_id — used by the canonical importer for register-first matching. */
public Optional<Person> findBySourceRef(String sourceRef) {
return personRepository.findBySourceRef(sourceRef);
}
@Nullable
@Transactional
public Person findOrCreateByAlias(String rawName) {
@@ -120,80 +115,6 @@ public class PersonService {
});
}
/**
* Idempotent upsert keyed on {@code sourceRef} (the normalizer person_id) for the
* canonical importer (Phase 3, ADR-025). On first import the canonical fields are
* written verbatim. On re-import the human-edit-preserve precedence applies:
* a non-blank existing field is never overwritten, and {@code provisional} never
* flips back to true once a human has confirmed the person.
*/
@Transactional
public Person upsertBySourceRef(PersonUpsertCommand cmd) {
return personRepository.findBySourceRef(cmd.sourceRef())
.map(existing -> personRepository.save(mergeCanonical(existing, cmd)))
.orElseGet(() -> fromCanonical(cmd));
}
private Person fromCanonical(PersonUpsertCommand cmd) {
Person person = personRepository.save(Person.builder()
.sourceRef(cmd.sourceRef())
.firstName(blankToNull(cmd.firstName()))
.lastName(cmd.lastName())
.notes(blankToNull(cmd.notes()))
.birthYear(cmd.birthYear())
.deathYear(cmd.deathYear())
.familyMember(cmd.familyMember())
.personType(cmd.personType() == null ? PersonType.PERSON : cmd.personType())
.provisional(cmd.provisional())
.build());
String maiden = blankToNull(cmd.maidenName());
if (maiden != null) {
int nextSortOrder = aliasRepository.findMaxSortOrder(person.getId()) + 1;
aliasRepository.save(PersonNameAlias.builder()
.person(person)
.lastName(maiden)
.type(PersonNameAliasType.MAIDEN_NAME)
.sortOrder(nextSortOrder)
.build());
}
return person;
}
private Person mergeCanonical(Person existing, PersonUpsertCommand cmd) {
existing.setFirstName(preferHuman(existing.getFirstName(), cmd.firstName()));
existing.setLastName(preferHuman(existing.getLastName(), cmd.lastName()));
existing.setNotes(preferHuman(existing.getNotes(), cmd.notes()));
existing.setBirthYear(preferHuman(existing.getBirthYear(), cmd.birthYear()));
existing.setDeathYear(preferHuman(existing.getDeathYear(), cmd.deathYear()));
if (cmd.personType() != null && existing.getPersonType() == PersonType.PERSON) {
existing.setPersonType(cmd.personType());
}
// provisional is monotonic-downward: once it is false it never reverts to true.
// This also pins the cross-loader precedence (ADR-025): a register/tree person is
// loaded before documents and already false, so a later document row that references
// the same source_ref (provisional=true) can never flip it provisional — the guard
// below only fires while existing is still provisional. Order of document rows is
// therefore irrelevant.
if (existing.isProvisional()) {
existing.setProvisional(cmd.provisional());
}
return existing;
}
// preferHuman keeps an existing human-entered value and only falls back to the canonical
// value when the existing one is absent — the single idiom for every fill-blank field.
private static String preferHuman(String existing, String canonical) {
return (existing == null || existing.isBlank()) ? blankToNull(canonical) : existing;
}
private static Integer preferHuman(Integer existing, Integer canonical) {
return existing != null ? existing : canonical;
}
private static String blankToNull(String s) {
return (s == null || s.isBlank()) ? null : s.trim();
}
@Transactional
public Person createPerson(String firstName, String lastName, String alias) {
Person person = Person.builder()

View File

@@ -18,7 +18,6 @@ public interface PersonSummaryDTO {
Integer getDeathYear();
String getNotes();
boolean isFamilyMember();
boolean isProvisional();
long getDocumentCount();
default String getDisplayName() {

View File

@@ -1,24 +0,0 @@
package org.raddatz.familienarchiv.person;
import lombok.Builder;
/**
* Importer → {@link PersonService} command for an idempotent upsert keyed on
* {@code sourceRef} (the normalizer's stable person_id). Carries only the canonical
* fields the importer owns; the service applies the human-edit-preserve precedence
* (see ADR-025): non-blank existing fields are never overwritten, and {@code provisional}
* never flips back to true once a human has confirmed a person.
*/
@Builder
public record PersonUpsertCommand(
String sourceRef,
String firstName,
String lastName,
String maidenName,
String notes,
Integer birthYear,
Integer deathYear,
boolean familyMember,
PersonType personType,
boolean provisional
) {}

View File

@@ -30,11 +30,4 @@ public class Tag {
/** Color token name (e.g. "sage"), only set on root-level tags. Null means no color. */
private String color;
/**
* Import identity key, keyed on the canonical tag_path. Null for manually created tags;
* unique among non-null values. The importer (Phase 3) uses it for idempotent re-import.
*/
@Column(name = "source_ref")
private String sourceRef;
}

View File

@@ -22,9 +22,6 @@ public interface TagRepository extends JpaRepository<Tag, UUID> {
Optional<Tag> findByNameIgnoreCase(String name);
// Lookup by the canonical tag_path, used for idempotent canonical re-import (Phase 3).
Optional<Tag> findBySourceRef(String sourceRef);
List<Tag> findByNameContainingIgnoreCase(String name);
/**

View File

@@ -7,7 +7,6 @@ import java.util.HashSet;
import java.util.LinkedHashMap;
import java.util.List;
import java.util.Map;
import java.util.Optional;
import java.util.Set;
import java.util.UUID;
import java.util.stream.Collectors;
@@ -50,37 +49,12 @@ public class TagService {
.orElseThrow(() -> DomainException.notFound(ErrorCode.TAG_NOT_FOUND, "Tag not found: " + id));
}
/** Lookup by the canonical tag_path — used by the canonical importer to attach a document's tag. */
public Optional<Tag> findBySourceRef(String sourceRef) {
return tagRepository.findBySourceRef(sourceRef);
}
public Tag findOrCreate(String name) {
String cleanName = name.trim();
return tagRepository.findByNameIgnoreCase(cleanName)
.orElseGet(() -> tagRepository.save(Tag.builder().name(cleanName).build()));
}
/**
* Idempotent upsert keyed on {@code sourceRef} (the canonical tag_path) for the
* Phase-3 importer (ADR-025). On first import the canonical name and parent are
* written; on re-import a human-renamed tag name is preserved (the source_ref is the
* stable identity, the name is a human-editable label).
*/
@Transactional
public Tag upsertBySourceRef(String sourceRef, String name, UUID parentId) {
return tagRepository.findBySourceRef(sourceRef)
.map(existing -> {
existing.setParentId(parentId);
return tagRepository.save(existing);
})
.orElseGet(() -> tagRepository.save(Tag.builder()
.sourceRef(sourceRef)
.name(name)
.parentId(parentId)
.build()));
}
@Transactional
public Tag update(UUID id, TagUpdateDTO dto) {
Tag tag = getById(id);

View File

@@ -5,8 +5,7 @@ import org.raddatz.familienarchiv.security.Permission;
import org.raddatz.familienarchiv.security.RequirePermission;
import org.raddatz.familienarchiv.document.DocumentService;
import org.raddatz.familienarchiv.document.DocumentVersionService;
import org.raddatz.familienarchiv.importing.CanonicalImportOrchestrator;
import org.raddatz.familienarchiv.importing.ImportStatus;
import org.raddatz.familienarchiv.importing.MassImportService;
import org.raddatz.familienarchiv.document.ThumbnailBackfillService;
import org.springframework.http.ResponseEntity;
import org.springframework.web.bind.annotation.GetMapping;
@@ -22,20 +21,20 @@ import lombok.RequiredArgsConstructor;
@RequiredArgsConstructor
public class AdminController {
private final CanonicalImportOrchestrator importOrchestrator;
private final MassImportService massImportService;
private final DocumentService documentService;
private final DocumentVersionService documentVersionService;
private final ThumbnailBackfillService thumbnailBackfillService;
@PostMapping("/trigger-import")
public ResponseEntity<ImportStatus> triggerMassImport() {
importOrchestrator.runImportAsync();
return ResponseEntity.accepted().body(importOrchestrator.getStatus());
public ResponseEntity<MassImportService.ImportStatus> triggerMassImport() {
massImportService.runImportAsync();
return ResponseEntity.accepted().body(massImportService.getStatus());
}
@GetMapping("/import-status")
public ResponseEntity<ImportStatus> importStatus() {
return ResponseEntity.ok(importOrchestrator.getStatus());
public ResponseEntity<MassImportService.ImportStatus> importStatus() {
return ResponseEntity.ok(massImportService.getStatus());
}
@PostMapping("/backfill-versions")

View File

@@ -125,10 +125,17 @@ app:
password: ${APP_ADMIN_PASSWORD:admin123}
import:
# Directory holding the normalizer's committed canonical artifacts
# (canonical-{documents,persons,tag-tree}.xlsx + canonical-persons-tree.json).
# The loader maps columns by header name — no positional indices (see ADR-025).
dir: ${IMPORT_DIR:/import}
col:
index: 0
box: 1
folder: 2
sender: 3
receivers: 5
date: 7
location: 9
tags: 10
summary: 11
transcription: 13
ocr:
sender-model:

View File

@@ -1,14 +0,0 @@
-- Repeatable migration: sets the grafana_reader role's password from the
-- ${grafanaDbPassword} placeholder (resolved by FlywayConfig from the
-- GRAFANA_DB_PASSWORD environment variable). Flyway computes the checksum on
-- the resolved migration content, so any change to GRAFANA_DB_PASSWORD changes
-- the checksum and re-applies this migration on the next boot. That makes
-- password rotation a "change env var + restart" operation — no manual psql.
--
-- V68 created the role itself (without a usable password). This file owns the
-- password lifecycle; nothing else writes it.
DO $$
BEGIN
EXECUTE format('ALTER ROLE grafana_reader WITH PASSWORD %L', '${grafanaDbPassword}');
END
$$;

View File

@@ -1,17 +0,0 @@
-- Read-only role used by the Grafana PostgreSQL datasource for the PO Overview
-- dashboard (issue #651). The role is created here without a usable password
-- (LOGIN-capable but no password set); R__grafana_reader_password.sql sets the
-- password from GRAFANA_DB_PASSWORD on every boot, so rotation is just "bump
-- the env var and restart the backend" — see docs/adr/024-* and the rotation
-- runbook in docs/DEPLOYMENT.md.
DO $$
BEGIN
IF NOT EXISTS (SELECT 1 FROM pg_catalog.pg_roles WHERE rolname = 'grafana_reader') THEN
CREATE ROLE grafana_reader WITH LOGIN;
END IF;
END
$$;
GRANT CONNECT ON DATABASE ${flyway:database} TO grafana_reader;
GRANT USAGE ON SCHEMA public TO grafana_reader;
GRANT SELECT ON audit_log, documents, transcription_blocks TO grafana_reader;

View File

@@ -1,67 +0,0 @@
-- Phase 2 of "Handling the Unknowns": the schema foundation.
-- Consolidates every new import/precision/attribution/identity column into ONE
-- migration with a single owner so downstream phases (importer, rendering, persons
-- directory) compile against a finished, collision-free schema. See ADR-025.
--
-- This file is forward-only and immutable once shipped (Flyway checksum model):
-- any fix goes in a later version, never an edit here.
-- ─── documents: date precision, range end, raw date, raw attribution ──────────
-- Range end is only set for RANGE precision (open-ended ranges allowed → end may be null).
ALTER TABLE documents ADD COLUMN meta_date_end date;
-- Original date cell, verbatim, for provenance and "as written" display (Phase 4).
ALTER TABLE documents ADD COLUMN meta_date_raw text;
-- Raw attribution preserved even when a person is linked.
ALTER TABLE documents ADD COLUMN sender_text text;
ALTER TABLE documents ADD COLUMN receiver_text text;
-- Bound user-influenced spreadsheet text at the DB layer (mirrors transcription_blocks
-- length cap in V18). Defense in depth against malformed/huge import cells.
ALTER TABLE documents ADD CONSTRAINT chk_meta_date_raw_length CHECK (length(meta_date_raw) <= 10000);
ALTER TABLE documents ADD CONSTRAINT chk_sender_text_length CHECK (length(sender_text) <= 10000);
ALTER TABLE documents ADD CONSTRAINT chk_receiver_text_length CHECK (length(receiver_text) <= 10000);
-- Precision enum — added with a DB default of 'UNKNOWN', backfilled, then made NOT NULL.
-- The DEFAULT serves two purposes: (1) existing rows get 'UNKNOWN' immediately, and
-- (2) raw-SQL inserts that omit the column (test fixtures, ad-hoc data loads) get a sane,
-- CHECK-valid value instead of violating the NOT NULL constraint. JPA saves still set it
-- explicitly via the entity's @Builder.Default = DatePrecision.UNKNOWN.
ALTER TABLE documents ADD COLUMN meta_date_precision varchar(16) DEFAULT 'UNKNOWN';
UPDATE documents
SET meta_date_precision = CASE WHEN meta_date IS NOT NULL THEN 'DAY' ELSE 'UNKNOWN' END;
ALTER TABLE documents ALTER COLUMN meta_date_precision SET NOT NULL;
-- Fail-closed allowlist of the seven precision values (verbatim mirror of the
-- normalizer's Precision enum). The DB enforces validity independent of the Java enum.
ALTER TABLE documents ADD CONSTRAINT chk_meta_date_precision
CHECK (meta_date_precision IN ('DAY', 'MONTH', 'SEASON', 'YEAR', 'RANGE', 'APPROX', 'UNKNOWN'));
-- A non-null range end is permitted only when precision = RANGE. A RANGE row MAY have a
-- null end (open-ended range), so the rule is one-directional, not biconditional.
ALTER TABLE documents ADD CONSTRAINT chk_meta_date_end_only_for_range
CHECK (meta_date_end IS NULL OR meta_date_precision = 'RANGE');
-- For ranges with both endpoints, the end must not precede the start.
ALTER TABLE documents ADD CONSTRAINT chk_meta_date_end_after_start
CHECK (meta_date_end IS NULL OR meta_date IS NULL OR meta_date_end >= meta_date);
-- ─── persons: source_ref (import identity) + provisional flag ─────────────────
-- The normalizer person_id: join key for documents → persons and idempotency key for
-- re-import. Nullable (manually created persons never have one); unique among non-nulls.
ALTER TABLE persons ADD COLUMN source_ref varchar(255);
CREATE UNIQUE INDEX idx_persons_source_ref ON persons (source_ref);
-- A provisional person is one the importer inferred but could not confidently identify.
-- Stays false until Phase 3 (importer) sets it; no code path writes true in this phase.
ALTER TABLE persons ADD COLUMN provisional boolean NOT NULL DEFAULT false;
-- ─── tag: source_ref (import identity, keyed on canonical tag_path) ───────────
ALTER TABLE tag ADD COLUMN source_ref varchar(255);
CREATE UNIQUE INDEX idx_tag_source_ref ON tag (source_ref);

View File

@@ -479,191 +479,6 @@ class MigrationIntegrationTest {
assertThat(count).isEqualTo(1);
}
// ─── V69: import/precision/attribution/identity schema foundation ────────
@Test
void v69_metaDatePrecisionColumn_isNotNull() {
Integer count = jdbc.queryForObject(
"""
SELECT COUNT(*) FROM information_schema.columns
WHERE table_schema = 'public'
AND table_name = 'documents'
AND column_name = 'meta_date_precision'
AND is_nullable = 'NO'
""",
Integer.class);
assertThat(count).isEqualTo(1);
}
@Test
void v69_backfillSql_setsDatedRowsToDayPrecision() {
// Re-run the migration's backfill UPDATE on a freshly dated row to prove the rule.
UUID docId = createDocumentWithDate("1943-05-12");
jdbc.update(V69_BACKFILL_PRECISION_SQL);
String precision = jdbc.queryForObject(
"SELECT meta_date_precision FROM documents WHERE id = ?", String.class, docId);
assertThat(precision).isEqualTo("DAY");
}
@Test
void v69_backfillSql_setsUndatedRowsToUnknownPrecision() {
UUID docId = createDocument(); // no meta_date
jdbc.update(V69_BACKFILL_PRECISION_SQL);
String precision = jdbc.queryForObject(
"SELECT meta_date_precision FROM documents WHERE id = ?", String.class, docId);
assertThat(precision).isEqualTo("UNKNOWN");
}
// Mirrors the backfill UPDATE shipped in V69; idempotent for verification.
private static final String V69_BACKFILL_PRECISION_SQL = """
UPDATE documents
SET meta_date_precision = CASE WHEN meta_date IS NOT NULL THEN 'DAY' ELSE 'UNKNOWN' END
""";
@Test
void v69_precisionCheck_rejectsValueOutsideEnum() {
UUID docId = createDocument();
assertThatThrownBy(() ->
jdbc.update("UPDATE documents SET meta_date_precision = 'BOGUS' WHERE id = ?", docId)
).isInstanceOf(DataIntegrityViolationException.class);
}
@Test
void v69_metaDateEndCheck_rejectsNonNullEndWhenPrecisionNotRange() {
UUID docId = createDocumentWithDate("1943-05-12"); // precision DAY
assertThatThrownBy(() ->
jdbc.update("UPDATE documents SET meta_date_end = '1943-06-01' WHERE id = ?", docId)
).isInstanceOf(DataIntegrityViolationException.class);
}
@Test
void v69_metaDateEndCheck_allowsNonNullEndWhenPrecisionRange() {
UUID docId = createDocumentWithDate("1943-05-12");
int rows = jdbc.update(
"UPDATE documents SET meta_date_precision = 'RANGE', meta_date_end = '1943-06-01' WHERE id = ?",
docId);
assertThat(rows).isEqualTo(1);
}
@Test
void v69_metaDateEndCheck_allowsRangeWithNullEnd() {
// Loose semantics: the normalizer may emit an open-ended RANGE (start only).
UUID docId = createDocumentWithDate("1943-05-12");
int rows = jdbc.update(
"UPDATE documents SET meta_date_precision = 'RANGE' WHERE id = ?", docId);
assertThat(rows).isEqualTo(1);
}
@Test
void v69_metaDateEndCheck_allowsRangeWithBothEndpointsNull() {
// Fully-open RANGE: neither start (meta_date) nor end (meta_date_end) is set.
// Both CHECKs hold (end IS NULL passes chk_meta_date_end_only_for_range; both-null
// passes chk_meta_date_end_after_start), so the row survives. This locks the actual
// DB behavior so a future tightening to a biconditional rule is a deliberate change.
UUID docId = createDocument(); // null meta_date
int rows = jdbc.update(
"UPDATE documents SET meta_date_precision = 'RANGE' WHERE id = ?", docId);
assertThat(rows).isEqualTo(1);
Object metaDate = jdbc.queryForObject("SELECT meta_date FROM documents WHERE id = ?", Object.class, docId);
Object metaDateEnd = jdbc.queryForObject(
"SELECT meta_date_end FROM documents WHERE id = ?", Object.class, docId);
assertThat(metaDate).isNull();
assertThat(metaDateEnd).isNull();
}
@Test
void v69_rangeOrderCheck_rejectsEndBeforeStart() {
UUID docId = createDocumentWithDate("1943-05-12");
assertThatThrownBy(() ->
jdbc.update(
"UPDATE documents SET meta_date_precision = 'RANGE', meta_date_end = '1943-01-01' WHERE id = ?",
docId)
).isInstanceOf(DataIntegrityViolationException.class);
}
@Test
void v69_metaDateRawCheck_rejectsOverlongText() {
UUID docId = createDocument();
String tooLong = "x".repeat(10001);
assertThatThrownBy(() ->
jdbc.update("UPDATE documents SET meta_date_raw = ? WHERE id = ?", tooLong, docId)
).isInstanceOf(DataIntegrityViolationException.class);
}
@Test
void v69_senderTextAndReceiverText_storeRawAttribution() {
UUID docId = createDocument();
int rows = jdbc.update(
"UPDATE documents SET sender_text = 'Oma Anna', receiver_text = 'Tante Grete' WHERE id = ?",
docId);
assertThat(rows).isEqualTo(1);
}
@Test
@Transactional(propagation = Propagation.NOT_SUPPORTED)
void v69_personsSourceRef_uniqueIndexRejectsDuplicate() {
jdbc.update(
"INSERT INTO persons (id, last_name, source_ref) VALUES (gen_random_uuid(), 'A', 'person:dup')");
try {
assertThatThrownBy(() ->
jdbc.update(
"INSERT INTO persons (id, last_name, source_ref) VALUES (gen_random_uuid(), 'B', 'person:dup')")
).isInstanceOf(DataIntegrityViolationException.class);
} finally {
jdbc.update("DELETE FROM persons WHERE source_ref = 'person:dup'");
}
}
@Test
@Transactional(propagation = Propagation.NOT_SUPPORTED)
void v69_personsSourceRef_allowsMultipleNulls() {
UUID a = createPerson("Null", "RefA");
UUID b = createPerson("Null", "RefB");
try {
String refA = jdbc.queryForObject("SELECT source_ref FROM persons WHERE id = ?", String.class, a);
String refB = jdbc.queryForObject("SELECT source_ref FROM persons WHERE id = ?", String.class, b);
assertThat(refA).isNull();
assertThat(refB).isNull();
} finally {
jdbc.update("DELETE FROM persons WHERE id IN (?, ?)", a, b);
}
}
@Test
void v69_personsProvisional_defaultsToFalse() {
UUID id = createPerson("Provisional", "Default");
Boolean provisional = jdbc.queryForObject(
"SELECT provisional FROM persons WHERE id = ?", Boolean.class, id);
assertThat(provisional).isFalse();
}
@Test
@Transactional(propagation = Propagation.NOT_SUPPORTED)
void v69_tagSourceRef_uniqueIndexRejectsDuplicate() {
jdbc.update("INSERT INTO tag (id, name, source_ref) VALUES (gen_random_uuid(), 'TagDupA', 'tag:dup')");
try {
assertThatThrownBy(() ->
jdbc.update("INSERT INTO tag (id, name, source_ref) VALUES (gen_random_uuid(), 'TagDupB', 'tag:dup')")
).isInstanceOf(DataIntegrityViolationException.class);
} finally {
jdbc.update("DELETE FROM tag WHERE source_ref = 'tag:dup'");
}
}
// ─── helpers ─────────────────────────────────────────────────────────────
private UUID createPerson(String firstName, String lastName) {
@@ -689,12 +504,6 @@ class MigrationIntegrationTest {
return doc.getId();
}
private UUID createDocumentWithDate(String isoDate) {
UUID id = createDocument();
jdbc.update("UPDATE documents SET meta_date = ?::date WHERE id = ?", isoDate, id);
return id;
}
private UUID insertAnnotation(UUID docId) {
UUID id = UUID.randomUUID();
jdbc.update("""

View File

@@ -1,37 +0,0 @@
package org.raddatz.familienarchiv.config;
import org.junit.jupiter.api.Test;
import org.springframework.mock.env.MockEnvironment;
import static org.assertj.core.api.Assertions.assertThat;
import static org.assertj.core.api.Assertions.assertThatThrownBy;
class FlywayConfigTest {
@Test
void resolveGrafanaDbPassword_throws_when_env_unset() {
FlywayConfig config = new FlywayConfig(null, new MockEnvironment());
assertThatThrownBy(config::resolveGrafanaDbPassword)
.isInstanceOf(IllegalStateException.class)
.hasMessageContaining("GRAFANA_DB_PASSWORD is required");
}
@Test
void resolveGrafanaDbPassword_throws_when_env_blank() {
MockEnvironment env = new MockEnvironment().withProperty("GRAFANA_DB_PASSWORD", " ");
FlywayConfig config = new FlywayConfig(null, env);
assertThatThrownBy(config::resolveGrafanaDbPassword)
.isInstanceOf(IllegalStateException.class)
.hasMessageContaining("GRAFANA_DB_PASSWORD is required");
}
@Test
void resolveGrafanaDbPassword_returns_value_when_env_set() {
MockEnvironment env = new MockEnvironment().withProperty("GRAFANA_DB_PASSWORD", "abc");
FlywayConfig config = new FlywayConfig(null, env);
assertThat(config.resolveGrafanaDbPassword()).isEqualTo("abc");
}
}

View File

@@ -1,89 +0,0 @@
package org.raddatz.familienarchiv.config;
import org.junit.jupiter.api.Test;
import org.junit.jupiter.params.ParameterizedTest;
import org.junit.jupiter.params.provider.ValueSource;
import org.raddatz.familienarchiv.PostgresContainerConfig;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.data.jpa.test.autoconfigure.DataJpaTest;
import org.springframework.boot.jdbc.test.autoconfigure.AutoConfigureTestDatabase;
import org.springframework.context.annotation.Import;
import org.springframework.jdbc.core.JdbcTemplate;
import static org.assertj.core.api.Assertions.assertThat;
// GRAFANA_DB_PASSWORD is supplied via the global test default in
// src/test/resources/application.properties — FlywayConfig fails closed
// when it is unset, so all tests that load the migration path need it.
@DataJpaTest
@AutoConfigureTestDatabase(replace = AutoConfigureTestDatabase.Replace.NONE)
@Import({PostgresContainerConfig.class, FlywayConfig.class})
class GrafanaReaderRoleIntegrationTest {
@Autowired JdbcTemplate jdbc;
// --- positive grants (SELECT on the three explicitly granted tables) ---
@Test
void grafana_reader_has_select_on_audit_log() {
assertThat(hasPrivilege("audit_log", "SELECT")).isTrue();
}
@Test
void grafana_reader_has_select_on_documents() {
assertThat(hasPrivilege("documents", "SELECT")).isTrue();
}
@Test
void grafana_reader_has_select_on_transcription_blocks() {
assertThat(hasPrivilege("transcription_blocks", "SELECT")).isTrue();
}
// --- write-deny on the granted tables: SELECT-only means SELECT-only.
// A future migration that GRANTs INSERT/UPDATE/DELETE on any of these
// would fail these tests, even though the original positive grants still
// pass. Locks the boundary in both directions.
@Test
void grafana_reader_has_no_INSERT_on_documents() {
assertThat(hasPrivilege("documents", "INSERT")).isFalse();
}
@Test
void grafana_reader_has_no_UPDATE_on_audit_log() {
assertThat(hasPrivilege("audit_log", "UPDATE")).isFalse();
}
@Test
void grafana_reader_has_no_DELETE_on_transcription_blocks() {
assertThat(hasPrivilege("transcription_blocks", "DELETE")).isFalse();
}
// --- negative grants: PII / sensitive tables MUST NOT be readable.
// The parameterized form catches the "someone widened the grant to
// ALL TABLES IN SCHEMA public" footgun — three specific positive grants
// would still pass while this sweep turns red.
@ParameterizedTest
@ValueSource(strings = {
"app_users",
"user_groups",
"persons",
"notifications",
"document_comments",
"document_annotations",
"geschichten"
})
void grafana_reader_has_no_SELECT_on_protected_table(String table) {
assertThat(hasPrivilege(table, "SELECT")).isFalse();
}
private boolean hasPrivilege(String table, String privilege) {
Boolean result = jdbc.queryForObject(
"SELECT has_table_privilege('grafana_reader', ?, ?)",
Boolean.class,
table,
privilege);
return Boolean.TRUE.equals(result);
}
}

View File

@@ -27,6 +27,7 @@ import org.springframework.security.test.context.support.WithMockUser;
import org.springframework.test.context.bean.override.mockito.MockitoBean;
import org.springframework.test.web.servlet.MockMvc;
import org.raddatz.familienarchiv.document.DocumentSearchItem;
import org.raddatz.familienarchiv.document.SearchMatchData;
import java.time.LocalDateTime;
@@ -129,14 +130,16 @@ class DocumentControllerTest {
@WithMockUser
void search_responseBodyItemsContainMatchData() throws Exception {
UUID docId = UUID.randomUUID();
Document doc = Document.builder()
.id(docId)
.title("Brief an Anna")
.originalFilename("brief.pdf")
.status(DocumentStatus.UPLOADED)
.build();
var matchData = new SearchMatchData(
"Er schrieb einen langen Brief", List.of(), false, List.of(), List.of(), List.of(), null, List.of());
when(documentService.searchDocuments(any(), any(), any(), any(), any(), any(), any(), any(), any(), any(), any(), any()))
.thenReturn(DocumentSearchResult.of(List.of(new DocumentListItem(
docId, "Brief an Anna", "brief.pdf", null, null,
DatePrecision.UNKNOWN, null, null,
List.of(), List.of(), null, null, null, null,
0, List.of(), matchData))));
.thenReturn(DocumentSearchResult.of(List.of(new DocumentSearchItem(doc, matchData, 0, List.of()))));
mockMvc.perform(get("/api/documents/search").param("q", "Brief"))
.andExpect(status().isOk())
@@ -145,28 +148,6 @@ class DocumentControllerTest {
.value("Er schrieb einen langen Brief"));
}
@Test
@WithMockUser
void search_returns_flat_item_with_id_and_without_sensitive_fields() throws Exception {
UUID docId = UUID.randomUUID();
var matchData = new SearchMatchData(null, List.of(), false, List.of(), List.of(), List.of(), null, List.of());
when(documentService.searchDocuments(any(), any(), any(), any(), any(), any(), any(), any(), any(), any(), any(), any()))
.thenReturn(DocumentSearchResult.of(List.of(new DocumentListItem(
docId, "Brief an Anna", "brief.pdf", null, null,
DatePrecision.UNKNOWN, null, null,
List.of(), List.of(), null, null, null, null,
0, List.of(), matchData))));
mockMvc.perform(get("/api/documents/search"))
.andExpect(status().isOk())
// flat id field present at top of item (not nested under $.items[0].document.id)
.andExpect(jsonPath("$.items[0].id").value(docId.toString()))
// sensitive storage fields must never appear in list response
.andExpect(jsonPath("$.items[0].transcription").doesNotExist())
.andExpect(jsonPath("$.items[0].filePath").doesNotExist())
.andExpect(jsonPath("$.items[0].fileHash").doesNotExist());
}
// ─── /api/documents/search pagination ─────────────────────────────────────
@Test

View File

@@ -127,7 +127,7 @@ class DocumentLazyLoadingTest {
PageRequest.of(0, 20));
assertThat(result.totalElements()).isGreaterThan(0);
assertThatCode(() ->
result.items().forEach(i -> { if (i.sender() != null) i.sender().getLastName(); }))
result.items().forEach(i -> i.document().getSender().getLastName()))
.doesNotThrowAnyException();
}

View File

@@ -1,120 +0,0 @@
package org.raddatz.familienarchiv.document;
import org.junit.jupiter.api.AfterEach;
import org.junit.jupiter.api.Test;
import org.raddatz.familienarchiv.PostgresContainerConfig;
import org.raddatz.familienarchiv.audit.AuditLogQueryService;
import org.raddatz.familienarchiv.ocr.TrainingLabel;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.test.context.SpringBootTest;
import org.springframework.context.annotation.Import;
import org.springframework.data.domain.PageRequest;
import org.springframework.test.context.ActiveProfiles;
import org.springframework.test.context.bean.override.mockito.MockitoBean;
import software.amazon.awssdk.services.s3.S3Client;
import java.util.HashSet;
import java.util.Set;
import static org.assertj.core.api.Assertions.assertThat;
import static org.assertj.core.api.Assertions.assertThatCode;
/**
* AC #2: Document with trainingLabels does not cause LazyInitializationException in search.
* AC #3: Detail API still returns trainingLabels after the Document.list graph change.
*/
@SpringBootTest(webEnvironment = SpringBootTest.WebEnvironment.NONE)
@ActiveProfiles("test")
@Import(PostgresContainerConfig.class)
class DocumentListItemIntegrationTest {
@MockitoBean
S3Client s3Client;
@MockitoBean
AuditLogQueryService auditLogQueryService;
@Autowired
DocumentRepository documentRepository;
@Autowired
DocumentService documentService;
@AfterEach
void cleanup() {
documentRepository.deleteAll();
}
@Test
void search_doesNotThrow_whenDocumentHasTrainingLabels() {
documentRepository.save(Document.builder()
.title("Kurrent Brief")
.originalFilename("kurrent.pdf")
.status(DocumentStatus.UPLOADED)
.trainingLabels(new HashSet<>(Set.of(TrainingLabel.KURRENT_RECOGNITION)))
.build());
assertThatCode(() -> documentService.searchDocuments(
null, null, null, null, null, null, null, null,
DocumentSort.DATE, "DESC", null,
PageRequest.of(0, 50)))
.doesNotThrowAnyException();
}
@Test
void search_returns_list_item_without_sensitive_fields_when_document_has_training_labels() {
documentRepository.save(Document.builder()
.title("Kurrent Brief")
.originalFilename("kurrent2.pdf")
.status(DocumentStatus.UPLOADED)
.trainingLabels(new HashSet<>(Set.of(TrainingLabel.KURRENT_RECOGNITION)))
.build());
DocumentSearchResult result = documentService.searchDocuments(
null, null, null, null, null, null, null, null,
DocumentSort.DATE, "DESC", null,
PageRequest.of(0, 50));
assertThat(result.totalElements()).isGreaterThan(0);
DocumentListItem item = result.items().get(0);
assertThat(item.id()).isNotNull();
assertThat(item.title()).isEqualTo("Kurrent Brief");
}
@Test
void search_listItem_carriesMetaDatePrecisionAndEnd() {
documentRepository.save(Document.builder()
.title("Range Brief")
.originalFilename("range.pdf")
.status(DocumentStatus.UPLOADED)
.documentDate(java.time.LocalDate.of(1943, 1, 1))
.metaDatePrecision(DatePrecision.RANGE)
.metaDateEnd(java.time.LocalDate.of(1943, 12, 31))
.build());
DocumentSearchResult result = documentService.searchDocuments(
null, null, null, null, null, null, null, null,
DocumentSort.DATE, "DESC", null,
PageRequest.of(0, 50));
DocumentListItem item = result.items().stream()
.filter(i -> i.title().equals("Range Brief")).findFirst().orElseThrow();
assertThat(item.metaDatePrecision()).isEqualTo(DatePrecision.RANGE);
assertThat(item.metaDateEnd()).isEqualTo(java.time.LocalDate.of(1943, 12, 31));
}
@Test
void detail_stillReturnsTrainingLabels() {
Document saved = documentRepository.save(Document.builder()
.title("Detail Test")
.originalFilename("detail_test.pdf")
.status(DocumentStatus.UPLOADED)
.trainingLabels(new HashSet<>(Set.of(TrainingLabel.KURRENT_RECOGNITION)))
.build());
// Document.full entity graph (used by getDocumentById) must still load trainingLabels
Document loaded = documentService.getDocumentById(saved.getId());
assertThat(loaded.getTrainingLabels()).containsExactly(TrainingLabel.KURRENT_RECOGNITION);
}
}

View File

@@ -125,10 +125,10 @@ class DocumentSearchPagedIntegrationTest {
// No document id should appear on both pages — slicing must be exclusive.
var idsOnPage0 = page0.items().stream()
.map(item -> item.id())
.map(item -> item.document().getId())
.toList();
var idsOnPage1 = page1.items().stream()
.map(item -> item.id())
.map(item -> item.document().getId())
.toList();
for (UUID id : idsOnPage0) {
assertThat(idsOnPage1).doesNotContain(id);

View File

@@ -3,6 +3,8 @@ package org.raddatz.familienarchiv.document;
import io.swagger.v3.oas.annotations.media.Schema;
import org.junit.jupiter.api.Test;
import org.raddatz.familienarchiv.audit.ActivityActorDTO;
import org.raddatz.familienarchiv.document.Document;
import org.raddatz.familienarchiv.document.DocumentStatus;
import org.springframework.data.domain.PageRequest;
import java.util.List;
@@ -12,12 +14,14 @@ import static org.assertj.core.api.Assertions.assertThat;
class DocumentSearchResultTest {
private DocumentListItem item(UUID docId) {
return new DocumentListItem(
docId, "Test", "test.pdf", null, null,
DatePrecision.UNKNOWN, null, null,
List.of(), List.of(), null, null, null, null,
0, List.of(), SearchMatchData.empty());
private DocumentSearchItem item(UUID docId) {
Document doc = Document.builder()
.id(docId)
.title("Test")
.originalFilename("test.pdf")
.status(DocumentStatus.UPLOADED)
.build();
return new DocumentSearchItem(doc, SearchMatchData.empty(), 0, List.of());
}
@Test
@@ -41,7 +45,7 @@ class DocumentSearchResultTest {
@Test
void paged_factory_populates_paging_fields_from_pageable_and_total() {
List<DocumentListItem> slice = List.of(item(UUID.randomUUID()), item(UUID.randomUUID()));
List<DocumentSearchItem> slice = List.of(item(UUID.randomUUID()), item(UUID.randomUUID()));
DocumentSearchResult result = DocumentSearchResult.paged(slice, PageRequest.of(1, 50), 120L);
@@ -64,11 +68,9 @@ class DocumentSearchResultTest {
void of_exposes_items_with_completion_and_contributors() {
UUID id = UUID.randomUUID();
ActivityActorDTO actor = new ActivityActorDTO("AB", "#f00", "Anna Braun");
DocumentListItem item = new DocumentListItem(
id, "T", "t.pdf", null, null,
DatePrecision.UNKNOWN, null, null,
List.of(), List.of(), null, null, null, null,
75, List.of(actor), SearchMatchData.empty());
Document doc = Document.builder().id(id).title("T").originalFilename("t.pdf")
.status(DocumentStatus.UPLOADED).build();
DocumentSearchItem item = new DocumentSearchItem(doc, SearchMatchData.empty(), 75, List.of(actor));
DocumentSearchResult result = DocumentSearchResult.of(List.of(item));

View File

@@ -70,7 +70,7 @@ class DocumentServiceSortTest {
"Brief", null, null, null, null, null, null, null, DocumentSort.DATE, "DESC", null, PAGE);
assertThat(result.items()).hasSize(2);
assertThat(result.items().get(0).id()).isEqualTo(id2); // newer first
assertThat(result.items().get(0).document().getId()).isEqualTo(id2); // newer first
}
// ─── RELEVANCE sort — pure text (no filters) ──────────────────────────────
@@ -104,7 +104,7 @@ class DocumentServiceSortTest {
DocumentSearchResult result = documentService.searchDocuments(
"Brief", null, null, null, null, null, null, null, DocumentSort.RELEVANCE, null, null, PAGE);
assertThat(result.items().get(0).id()).isEqualTo(id1);
assertThat(result.items().get(0).document().getId()).isEqualTo(id1);
}
@Test
@@ -121,7 +121,7 @@ class DocumentServiceSortTest {
DocumentSearchResult result = documentService.searchDocuments(
"Brief", null, null, null, null, null, null, null, null, null, null, PAGE);
assertThat(result.items().get(0).id()).isEqualTo(id1);
assertThat(result.items().get(0).document().getId()).isEqualTo(id1);
}
// ─── RELEVANCE sort — overflow guard ─────────────────────────────────────
@@ -156,7 +156,7 @@ class DocumentServiceSortTest {
DocumentSort.RELEVANCE, null, null, PAGE);
assertThat(result.items()).hasSize(1);
assertThat(result.items().get(0).id()).isEqualTo(uuidId);
assertThat(result.items().get(0).document().getId()).isEqualTo(uuidId);
}
// ─── RELEVANCE sort — text + active filter ────────────────────────────────

View File

@@ -11,7 +11,7 @@ import org.raddatz.familienarchiv.audit.AuditLogQueryService;
import org.raddatz.familienarchiv.audit.AuditService;
import org.raddatz.familienarchiv.document.annotation.AnnotationService;
import org.raddatz.familienarchiv.document.transcription.TranscriptionBlockQueryService;
import org.raddatz.familienarchiv.document.DocumentListItem;
import org.raddatz.familienarchiv.document.DocumentSearchItem;
import org.raddatz.familienarchiv.document.DocumentSearchResult;
import org.raddatz.familienarchiv.document.DocumentSort;
import org.raddatz.familienarchiv.document.DocumentUpdateDTO;
@@ -1444,7 +1444,7 @@ class DocumentServiceTest {
assertThat(result.totalPages()).isEqualTo(3);
assertThat(result.items()).hasSize(50);
// Page 1 (offset 50) under ascending sender sort should start at L050
assertThat(result.items().get(0).sender().getLastName()).isEqualTo("L050");
assertThat(result.items().get(0).document().getSender().getLastName()).isEqualTo("L050");
}
@Test
@@ -1565,7 +1565,7 @@ class DocumentServiceTest {
null, null, null, null, null, null, null, null, DocumentSort.SENDER, "asc", null, UNPAGED);
assertThat(result.items()).hasSize(2);
assertThat(result.items()).extracting(DocumentListItem::title).containsExactly("Has Sender", "No Sender");
assertThat(result.items()).extracting(item -> item.document().getTitle()).containsExactly("Has Sender", "No Sender");
}
// ─── searchDocuments — RECEIVER sort, empty receivers ───────────────────────
@@ -1584,7 +1584,7 @@ class DocumentServiceTest {
DocumentSearchResult result = documentService.searchDocuments(
null, null, null, null, null, null, null, null, DocumentSort.RECEIVER, "asc", null, UNPAGED);
assertThat(result.items()).extracting(DocumentListItem::title)
assertThat(result.items()).extracting(item -> item.document().getTitle())
.containsExactly("Has Receiver", "No Receivers");
}
@@ -1607,7 +1607,7 @@ class DocumentServiceTest {
null, null, null, null, null, null, null, null, DocumentSort.SENDER, "asc", null, UNPAGED);
// null lastName should sort to end (treated as empty), not before "smith" (as "null")
assertThat(result.items()).extracting(DocumentListItem::title)
assertThat(result.items()).extracting(item -> item.document().getTitle())
.containsExactly("smith doc", "Null lastname doc");
}

View File

@@ -1,212 +0,0 @@
package org.raddatz.familienarchiv.importing;
import org.apache.poi.ss.usermodel.Row;
import org.apache.poi.ss.usermodel.Sheet;
import org.apache.poi.xssf.usermodel.XSSFWorkbook;
import org.junit.jupiter.api.BeforeEach;
import org.junit.jupiter.api.Test;
import org.raddatz.familienarchiv.PostgresContainerConfig;
import org.raddatz.familienarchiv.document.Document;
import org.raddatz.familienarchiv.document.DocumentRepository;
import org.raddatz.familienarchiv.document.DocumentStatus;
import org.raddatz.familienarchiv.person.Person;
import org.raddatz.familienarchiv.person.PersonRepository;
import org.raddatz.familienarchiv.tag.TagRepository;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.test.context.SpringBootTest;
import org.springframework.context.annotation.Import;
import org.springframework.test.context.ActiveProfiles;
import org.springframework.test.context.bean.override.mockito.MockitoBean;
import org.springframework.test.util.ReflectionTestUtils;
import software.amazon.awssdk.services.s3.S3Client;
import java.io.OutputStream;
import java.nio.file.Files;
import java.nio.file.Path;
import java.util.List;
import java.util.Optional;
import static org.assertj.core.api.Assertions.assertThat;
/**
* Real Postgres (Testcontainers) integration test for the canonical importer. The
* {@code UNIQUE(source_ref)} constraint and the upsert-on-conflict behaviour only exist
* in real Postgres (never H2), so idempotency is verified here. S3 is mocked — the
* synthetic document rows carry no on-disk files, so every document is a PLACEHOLDER and
* no upload is attempted.
*/
@SpringBootTest(webEnvironment = SpringBootTest.WebEnvironment.NONE)
@ActiveProfiles("test")
@Import(PostgresContainerConfig.class)
class CanonicalImportIntegrationTest {
@MockitoBean S3Client s3Client;
@Autowired CanonicalImportOrchestrator orchestrator;
@Autowired PersonRepository personRepository;
@Autowired TagRepository tagRepository;
@Autowired DocumentRepository documentRepository;
Path artifactDir;
@BeforeEach
void setUp() throws Exception {
documentRepository.deleteAll();
personRepository.deleteAll();
tagRepository.deleteAll();
artifactDir = Files.createTempDirectory("canonical-import-it");
writeArtifacts(artifactDir);
ReflectionTestUtils.setField(orchestrator, "canonicalDir", artifactDir.toString());
}
@Test
void reimport_isIdempotent_noDuplicatePersonsTagsOrDocuments() {
orchestrator.runImport();
long personsAfterFirst = personRepository.count();
long tagsAfterFirst = tagRepository.count();
long documentsAfterFirst = documentRepository.count();
assertThat(orchestrator.getStatus().state()).isEqualTo(ImportStatus.State.DONE);
assertThat(personsAfterFirst).isPositive();
assertThat(tagsAfterFirst).isPositive();
assertThat(documentsAfterFirst).isPositive();
orchestrator.runImport();
assertThat(personRepository.count()).isEqualTo(personsAfterFirst);
assertThat(tagRepository.count()).isEqualTo(tagsAfterFirst);
assertThat(documentRepository.count()).isEqualTo(documentsAfterFirst);
}
@Test
void reimport_preservesHumanEditedPersonField() {
orchestrator.runImport();
Person walter = personRepository.findBySourceRef("de-gruyter-walter").orElseThrow();
walter.setNotes("Verified by archivist");
walter.setFirstName("Walther");
personRepository.save(walter);
orchestrator.runImport();
Person reimported = personRepository.findBySourceRef("de-gruyter-walter").orElseThrow();
assertThat(reimported.getNotes()).isEqualTo("Verified by archivist");
assertThat(reimported.getFirstName()).isEqualTo("Walther");
}
@Test
void import_linksDocumentSenderToRegisterPerson_andRetainsRawText() {
orchestrator.runImport();
Person walter = personRepository.findBySourceRef("de-gruyter-walter").orElseThrow();
Document doc = documentRepository.findByOriginalFilename("W-0001").orElseThrow();
assertThat(doc.getSender()).isNotNull();
assertThat(doc.getSender().getId()).isEqualTo(walter.getId());
assertThat(doc.getSenderText()).isEqualTo("Walter de Gruyter");
assertThat(doc.getStatus()).isEqualTo(DocumentStatus.PLACEHOLDER);
}
@Test
void import_provisionalFlag_trueForImporterCreated_falseForRegister() {
orchestrator.runImport();
Optional<Person> register = personRepository.findBySourceRef("de-gruyter-walter");
assertThat(register).get().extracting(Person::isProvisional).isEqualTo(false);
}
@Test
void reimport_prunesRemovedReceiverAndTag_whenCanonicalRowShrinks() throws Exception {
orchestrator.runImport();
// findById uses the Document.full entity graph so receivers/tags initialise eagerly.
Document before = documentRepository.findById(
documentRepository.findByOriginalFilename("W-0001").orElseThrow().getId()).orElseThrow();
assertThat(before.getReceivers()).isNotEmpty();
assertThat(before.getTags()).isNotEmpty();
// Re-stage the document sheet with W-0001's receiver and tag removed.
writeSheet(artifactDir.resolve("canonical-documents.xlsx"),
List.of("index", "file", "sender_person_id", "sender_name", "receiver_person_ids",
"receiver_names", "date_iso", "date_raw", "date_precision", "date_end", "location", "tags", "summary"),
List.of(
List.of("W-0001", "", "de-gruyter-walter", "Walter de Gruyter",
"", "", "1888-02-15", "15.2.1888", "DAY", "", "Rotterdam", "", "Geschäftsreise"),
List.of("W-0002", "", "de-gruyter-eugenie", "Eugenie de Gruyter",
"de-gruyter-walter", "Walter de Gruyter", "1888-02-16", "16.2.1888", "DAY", "",
"Middelburg", "Themen/Brautbriefe", "Reisepläne")));
orchestrator.runImport();
Document after = documentRepository.findById(before.getId()).orElseThrow();
assertThat(after.getReceivers()).isEmpty();
assertThat(after.getTags()).isEmpty();
}
@Test
void import_neverFlipsRegisterPersonToProvisional_whenReferencedByDocumentRow() {
// de-gruyter-walter is a register person (provisional=false) AND the sender of W-0001.
// The orchestrator loads the register before documents, so the document loader's
// register-first match links the existing person and never mints a provisional one.
// A second run (documents reference the same person again) must not flip it true.
orchestrator.runImport();
orchestrator.runImport();
Person walter = personRepository.findBySourceRef("de-gruyter-walter").orElseThrow();
assertThat(walter.isProvisional()).isFalse();
Person eugenie = personRepository.findBySourceRef("de-gruyter-eugenie").orElseThrow();
assertThat(eugenie.isProvisional()).isFalse();
}
// ─── synthetic-but-real artifact set ─────────────────────────────────────────────
private void writeArtifacts(Path dir) throws Exception {
writeSheet(dir.resolve("canonical-tag-tree.xlsx"),
List.of("tag_path", "parent_name", "tag_name"),
List.of(
List.of("Themen", "", "Themen"),
List.of("Themen/Brautbriefe", "Themen", "Brautbriefe")));
writeSheet(dir.resolve("canonical-persons.xlsx"),
List.of("person_id", "last_name", "first_name", "maiden_name", "notes", "birth_date", "death_date", "provisional"),
List.of(
List.of("de-gruyter-walter", "de Gruyter", "Walter", "", "", "1865-01-01", "", "False"),
List.of("de-gruyter-eugenie", "de Gruyter", "Eugenie", "Wöhler", "", "", "", "False")));
Files.writeString(dir.resolve("canonical-persons-tree.json"), """
{"persons":[
{"rowId":"row_1","firstName":"Walter","lastName":"de Gruyter","familyMember":true,"personId":"de-gruyter-walter"},
{"rowId":"row_2","firstName":"Eugenie","lastName":"de Gruyter","maidenName":"Wöhler","familyMember":true,"personId":"de-gruyter-eugenie"}
],"relationships":[
{"personId":"row_1","relatedPersonId":"row_2","type":"SPOUSE_OF","source":"verheiratet_mit"}
]}
""");
writeSheet(dir.resolve("canonical-documents.xlsx"),
List.of("index", "file", "sender_person_id", "sender_name", "receiver_person_ids",
"receiver_names", "date_iso", "date_raw", "date_precision", "date_end", "location", "tags", "summary"),
List.of(
List.of("W-0001", "", "de-gruyter-walter", "Walter de Gruyter",
"de-gruyter-eugenie", "Eugenie de Gruyter", "1888-02-15", "15.2.1888", "DAY", "",
"Rotterdam", "Themen/Brautbriefe", "Geschäftsreise"),
List.of("W-0002", "", "de-gruyter-eugenie", "Eugenie de Gruyter",
"de-gruyter-walter", "Walter de Gruyter", "1888-02-16", "16.2.1888", "DAY", "",
"Middelburg", "Themen/Brautbriefe", "Reisepläne")));
}
private void writeSheet(Path file, List<String> headers, List<List<String>> rows) throws Exception {
try (XSSFWorkbook wb = new XSSFWorkbook()) {
Sheet sheet = wb.createSheet("Sheet1");
Row header = sheet.createRow(0);
for (int i = 0; i < headers.size(); i++) {
header.createCell(i).setCellValue(headers.get(i));
}
for (int r = 0; r < rows.size(); r++) {
Row row = sheet.createRow(r + 1);
List<String> values = rows.get(r);
for (int c = 0; c < values.size(); c++) {
row.createCell(c).setCellValue(values.get(c));
}
}
try (OutputStream out = Files.newOutputStream(file)) {
wb.write(out);
}
}
}
}

View File

@@ -1,130 +0,0 @@
package org.raddatz.familienarchiv.importing;
import org.junit.jupiter.api.Test;
import org.junit.jupiter.api.extension.ExtendWith;
import org.junit.jupiter.api.io.TempDir;
import org.mockito.InOrder;
import org.mockito.Mock;
import org.mockito.junit.jupiter.MockitoExtension;
import org.raddatz.familienarchiv.exception.DomainException;
import org.springframework.test.util.ReflectionTestUtils;
import java.io.File;
import java.nio.file.Files;
import java.nio.file.Path;
import java.util.List;
import static org.assertj.core.api.Assertions.assertThat;
import static org.assertj.core.api.Assertions.assertThatThrownBy;
import static org.mockito.ArgumentMatchers.any;
import static org.mockito.Mockito.inOrder;
import static org.mockito.Mockito.never;
import static org.mockito.Mockito.verify;
import static org.mockito.Mockito.when;
@ExtendWith(MockitoExtension.class)
class CanonicalImportOrchestratorTest {
@Mock TagTreeImporter tagTreeImporter;
@Mock PersonRegisterImporter personRegisterImporter;
@Mock PersonTreeImporter personTreeImporter;
@Mock DocumentImporter documentImporter;
private CanonicalImportOrchestrator orchestrator(Path dir) {
CanonicalImportOrchestrator o = new CanonicalImportOrchestrator(
tagTreeImporter, personRegisterImporter, personTreeImporter, documentImporter);
ReflectionTestUtils.setField(o, "canonicalDir", dir.toString());
return o;
}
private void writeAllArtifacts(Path dir) throws Exception {
Files.writeString(dir.resolve("canonical-tag-tree.xlsx"), "x");
Files.writeString(dir.resolve("canonical-persons.xlsx"), "x");
Files.writeString(dir.resolve("canonical-persons-tree.json"), "x");
Files.writeString(dir.resolve("canonical-documents.xlsx"), "x");
}
@Test
void getStatus_isIdleByDefault(@TempDir Path dir) {
assertThat(orchestrator(dir).getStatus().state()).isEqualTo(ImportStatus.State.IDLE);
}
@Test
void runImport_loadsTagsAndPersonsBeforeDocuments(@TempDir Path dir) throws Exception {
writeAllArtifacts(dir);
when(documentImporter.load(any())).thenReturn(new DocumentImporter.LoadResult(0, List.of()));
CanonicalImportOrchestrator o = orchestrator(dir);
o.runImport();
InOrder order = inOrder(tagTreeImporter, personRegisterImporter, personTreeImporter, documentImporter);
order.verify(tagTreeImporter).load(any());
order.verify(personRegisterImporter).load(any());
order.verify(personTreeImporter).load(any());
order.verify(documentImporter).load(any());
}
@Test
void runImport_setsStatusDone_onSuccess(@TempDir Path dir) throws Exception {
writeAllArtifacts(dir);
when(documentImporter.load(any())).thenReturn(new DocumentImporter.LoadResult(3, List.of()));
CanonicalImportOrchestrator o = orchestrator(dir);
o.runImport();
assertThat(o.getStatus().state()).isEqualTo(ImportStatus.State.DONE);
assertThat(o.getStatus().processed()).isEqualTo(3);
}
@Test
void runImport_failsClosed_whenAnArtifactIsMissing(@TempDir Path dir) throws Exception {
Files.writeString(dir.resolve("canonical-tag-tree.xlsx"), "x");
// the other three artifacts are absent
CanonicalImportOrchestrator o = orchestrator(dir);
o.runImport();
assertThat(o.getStatus().state()).isEqualTo(ImportStatus.State.FAILED);
verify(tagTreeImporter, never()).load(any());
verify(documentImporter, never()).load(any());
}
@Test
void runImport_setsStatusFailed_whenLoaderThrows(@TempDir Path dir) throws Exception {
writeAllArtifacts(dir);
when(tagTreeImporter.load(any())).thenThrow(DomainException.badRequest(
org.raddatz.familienarchiv.exception.ErrorCode.IMPORT_ARTIFACT_INVALID, "bad"));
CanonicalImportOrchestrator o = orchestrator(dir);
o.runImport();
assertThat(o.getStatus().state()).isEqualTo(ImportStatus.State.FAILED);
verify(documentImporter, never()).load(any());
}
@Test
void runImportAsync_throwsConflict_whenAlreadyRunning(@TempDir Path dir) {
CanonicalImportOrchestrator o = orchestrator(dir);
ReflectionTestUtils.setField(o, "currentStatus", new ImportStatus(
ImportStatus.State.RUNNING, "IMPORT_RUNNING", "running", 0, List.of(), null));
assertThatThrownBy(o::runImportAsync)
.isInstanceOf(DomainException.class)
.hasMessageContaining("already in progress");
}
@Test
void runImport_aggregatesDocumentSkips(@TempDir Path dir) throws Exception {
writeAllArtifacts(dir);
when(documentImporter.load(any())).thenReturn(new DocumentImporter.LoadResult(1,
List.of(new ImportStatus.SkippedFile("fake.pdf", ImportStatus.SkipReason.INVALID_PDF_SIGNATURE))));
CanonicalImportOrchestrator o = orchestrator(dir);
o.runImport();
assertThat(o.getStatus().skipped()).isEqualTo(1);
assertThat(o.getStatus().skippedFiles())
.extracting(ImportStatus.SkippedFile::filename)
.containsExactly("fake.pdf");
}
}

View File

@@ -1,115 +0,0 @@
package org.raddatz.familienarchiv.importing;
import org.apache.poi.ss.usermodel.Row;
import org.apache.poi.ss.usermodel.Sheet;
import org.apache.poi.xssf.usermodel.XSSFWorkbook;
import org.junit.jupiter.api.Test;
import org.junit.jupiter.api.io.TempDir;
import org.raddatz.familienarchiv.exception.DomainException;
import java.io.OutputStream;
import java.nio.file.Files;
import java.nio.file.Path;
import java.util.List;
import static org.assertj.core.api.Assertions.assertThat;
import static org.assertj.core.api.Assertions.assertThatThrownBy;
class CanonicalSheetReaderTest {
@Test
void readRows_mapsCellsByHeaderName(@TempDir Path tempDir) throws Exception {
Path xlsx = write(tempDir, List.of("index", "file"), List.of(List.of("W-0001", "scan.pdf")));
List<CanonicalSheetReader.Row> rows = CanonicalSheetReader.readRows(xlsx.toFile(), List.of("index", "file"));
assertThat(rows).hasSize(1);
assertThat(rows.get(0).get("index")).isEqualTo("W-0001");
assertThat(rows.get(0).get("file")).isEqualTo("scan.pdf");
}
@Test
void readRows_throwsBadRequest_whenRequiredHeaderMissing(@TempDir Path tempDir) throws Exception {
Path xlsx = write(tempDir, List.of("index"), List.of(List.of("W-0001")));
assertThatThrownBy(() -> CanonicalSheetReader.readRows(xlsx.toFile(), List.of("index", "file")))
.isInstanceOf(DomainException.class)
.hasMessageContaining("file");
}
@Test
void get_returnsEmptyString_forBlankCell(@TempDir Path tempDir) throws Exception {
Path xlsx = write(tempDir, List.of("index", "file"), List.of(List.of("W-0001", "")));
List<CanonicalSheetReader.Row> rows = CanonicalSheetReader.readRows(xlsx.toFile(), List.of("index", "file"));
assertThat(rows.get(0).get("file")).isEmpty();
}
@Test
void get_returnsEmptyString_forUnknownColumn(@TempDir Path tempDir) throws Exception {
Path xlsx = write(tempDir, List.of("index"), List.of(List.of("W-0001")));
List<CanonicalSheetReader.Row> rows = CanonicalSheetReader.readRows(xlsx.toFile(), List.of("index"));
assertThat(rows.get(0).get("does_not_exist")).isEmpty();
}
@Test
void get_returnsEmptyString_forTrailingColumns_whenRowShorterThanHeader(@TempDir Path tempDir) throws Exception {
// POI omits trailing empty cells, so a real-world artifact row can be narrower than
// the header. The missing columns must read as "" rather than throwing.
Path xlsx = write(tempDir,
List.of("index", "file", "summary"),
List.of(List.of("W-0001")));
List<CanonicalSheetReader.Row> rows = CanonicalSheetReader.readRows(xlsx.toFile(), List.of("index", "file", "summary"));
assertThat(rows.get(0).get("index")).isEqualTo("W-0001");
assertThat(rows.get(0).get("file")).isEmpty();
assertThat(rows.get(0).get("summary")).isEmpty();
}
@Test
void splitList_splitsOnPipe() {
assertThat(CanonicalSheetReader.splitList("a|b|c")).containsExactly("a", "b", "c");
}
@Test
void splitList_returnsEmptyList_forBlank() {
assertThat(CanonicalSheetReader.splitList("")).isEmpty();
assertThat(CanonicalSheetReader.splitList(" ")).isEmpty();
}
@Test
void splitList_returnsSingleElement_whenNoPipe() {
assertThat(CanonicalSheetReader.splitList("solo")).containsExactly("solo");
}
@Test
void splitList_trimsAndDropsEmptySegments() {
assertThat(CanonicalSheetReader.splitList("a| |b")).containsExactly("a", "b");
}
private Path write(Path dir, List<String> headers, List<List<String>> dataRows) throws Exception {
Path xlsx = dir.resolve("sheet.xlsx");
try (XSSFWorkbook wb = new XSSFWorkbook()) {
Sheet sheet = wb.createSheet("Sheet1");
Row header = sheet.createRow(0);
for (int i = 0; i < headers.size(); i++) {
header.createCell(i).setCellValue(headers.get(i));
}
for (int r = 0; r < dataRows.size(); r++) {
Row row = sheet.createRow(r + 1);
List<String> values = dataRows.get(r);
for (int c = 0; c < values.size(); c++) {
row.createCell(c).setCellValue(values.get(c));
}
}
try (OutputStream out = Files.newOutputStream(xlsx)) {
wb.write(out);
}
}
return xlsx;
}
}

View File

@@ -1,459 +0,0 @@
package org.raddatz.familienarchiv.importing;
import org.apache.poi.ss.usermodel.Row;
import org.apache.poi.ss.usermodel.Sheet;
import org.apache.poi.xssf.usermodel.XSSFWorkbook;
import org.junit.jupiter.api.BeforeEach;
import org.junit.jupiter.api.Test;
import org.junit.jupiter.api.extension.ExtendWith;
import org.junit.jupiter.api.io.TempDir;
import org.mockito.Mock;
import org.mockito.junit.jupiter.MockitoExtension;
import org.raddatz.familienarchiv.document.Document;
import org.raddatz.familienarchiv.document.DocumentService;
import org.raddatz.familienarchiv.document.DocumentStatus;
import org.raddatz.familienarchiv.document.ThumbnailAsyncRunner;
import org.raddatz.familienarchiv.person.Person;
import org.raddatz.familienarchiv.person.PersonService;
import org.raddatz.familienarchiv.person.PersonUpsertCommand;
import org.raddatz.familienarchiv.tag.Tag;
import org.raddatz.familienarchiv.tag.TagService;
import org.springframework.test.util.ReflectionTestUtils;
import software.amazon.awssdk.core.sync.RequestBody;
import software.amazon.awssdk.services.s3.S3Client;
import software.amazon.awssdk.services.s3.model.PutObjectRequest;
import java.io.File;
import java.io.OutputStream;
import java.nio.file.Files;
import java.nio.file.Path;
import java.time.LocalDate;
import java.util.LinkedHashMap;
import java.util.List;
import java.util.Map;
import java.util.Optional;
import java.util.UUID;
import static org.assertj.core.api.Assertions.assertThat;
import static org.mockito.ArgumentMatchers.any;
import static org.mockito.Mockito.lenient;
import static org.mockito.Mockito.never;
import static org.mockito.Mockito.verify;
import static org.mockito.Mockito.when;
@ExtendWith(MockitoExtension.class)
class DocumentImporterTest {
@Mock DocumentService documentService;
@Mock PersonService personService;
@Mock TagService tagService;
@Mock S3Client s3Client;
@Mock ThumbnailAsyncRunner thumbnailAsyncRunner;
DocumentImporter importer;
@BeforeEach
void setUp() {
importer = new DocumentImporter(documentService, personService, tagService, s3Client, thumbnailAsyncRunner);
ReflectionTestUtils.setField(importer, "bucketName", "test-bucket");
}
// ─── security regression — ported from MassImportServiceTest — do not remove ─────
@Test
void isValidImportFilename_returnsFalse_whenNull() {
assertThat((Boolean) ReflectionTestUtils.invokeMethod(importer, "isValidImportFilename", (String) null)).isFalse();
}
@Test
void isValidImportFilename_returnsFalse_whenBlank() {
assertThat((Boolean) ReflectionTestUtils.invokeMethod(importer, "isValidImportFilename", " ")).isFalse();
}
@Test
void isValidImportFilename_returnsFalse_whenForwardSlash() {
assertThat((Boolean) ReflectionTestUtils.invokeMethod(importer, "isValidImportFilename", "etc/passwd")).isFalse();
}
@Test
void isValidImportFilename_returnsFalse_whenBackslash() {
assertThat((Boolean) ReflectionTestUtils.invokeMethod(importer, "isValidImportFilename", "..\\etc\\passwd")).isFalse();
}
@Test
void isValidImportFilename_returnsFalse_whenDotDot() {
assertThat((Boolean) ReflectionTestUtils.invokeMethod(importer, "isValidImportFilename", "doc..evil.pdf")).isFalse();
}
@Test
void isValidImportFilename_returnsFalse_whenIsDotDot() {
assertThat((Boolean) ReflectionTestUtils.invokeMethod(importer, "isValidImportFilename", "..")).isFalse();
}
@Test
void isValidImportFilename_returnsFalse_whenAbsolutePath() {
assertThat((Boolean) ReflectionTestUtils.invokeMethod(importer, "isValidImportFilename", "/etc/passwd")).isFalse();
}
@Test
void isValidImportFilename_returnsFalse_whenNullByte() {
assertThat((Boolean) ReflectionTestUtils.invokeMethod(importer, "isValidImportFilename", "file\0.pdf")).isFalse();
}
@Test
void isValidImportFilename_returnsFalse_whenUnicodeDivisionSlash() {
assertThat((Boolean) ReflectionTestUtils.invokeMethod(importer, "isValidImportFilename", "foobar.pdf")).isFalse();
}
@Test
void isValidImportFilename_returnsFalse_whenFullwidthSlash() {
assertThat((Boolean) ReflectionTestUtils.invokeMethod(importer, "isValidImportFilename", "foobar.pdf")).isFalse();
}
@Test
void isValidImportFilename_returnsFalse_whenReverseSolidusOperator() {
assertThat((Boolean) ReflectionTestUtils.invokeMethod(importer, "isValidImportFilename", "foobar.pdf")).isFalse();
}
@Test
void isValidImportFilename_returnsTrue_whenPlainBasename() {
assertThat((Boolean) ReflectionTestUtils.invokeMethod(importer, "isValidImportFilename", "document.pdf")).isTrue();
}
@Test
void isValidImportFilename_returnsTrue_whenLeadingDot() {
assertThat((Boolean) ReflectionTestUtils.invokeMethod(importer, "isValidImportFilename", ".hidden.pdf")).isTrue();
}
@Test
void isValidImportFilename_returnsTrue_whenHasSpaces() {
assertThat((Boolean) ReflectionTestUtils.invokeMethod(importer, "isValidImportFilename", "Brief an Oma.pdf")).isTrue();
}
@Test
void findFileRecursive_throwsDomainException_whenSymlinkEscapesImportDir(
@TempDir Path importDirPath, @TempDir Path outsideDir) throws Exception {
Path outsideFile = outsideDir.resolve("secret.pdf");
Files.writeString(outsideFile, "sensitive");
Files.createSymbolicLink(importDirPath.resolve("secret.pdf"), outsideFile);
ReflectionTestUtils.setField(importer, "importDir", importDirPath.toString());
org.assertj.core.api.Assertions.assertThatThrownBy(
() -> ReflectionTestUtils.invokeMethod(importer, "findFileRecursive", "secret.pdf"))
.isInstanceOf(org.raddatz.familienarchiv.exception.DomainException.class);
}
// ─── path traversal in the file column cannot escape importDir ───────────────────
@Test
void load_rejectsFileColumn_whenBasenameIsTraversalToken(@TempDir Path tempDir) throws Exception {
// A file column whose basename is itself a traversal token must be rejected
// outright, never used for disk I/O.
ReflectionTestUtils.setField(importer, "importDir", tempDir.toString());
Path xlsx = writeDocs(tempDir, docRow("W-0001", "evil/..", "", "", "", "", "", "", "", ""));
DocumentImporter.LoadResult result = importer.load(xlsx.toFile());
assertThat(result.skippedFiles())
.extracting(ImportStatus.SkippedFile::reason)
.containsExactly(ImportStatus.SkipReason.INVALID_FILENAME_PATH_TRAVERSAL);
verify(documentService, never()).save(any());
}
@Test
void load_traversalFileColumn_cannotEscapeImportDir_yieldsPlaceholder(@TempDir Path tempDir) throws Exception {
// ../../etc/cron.d/x reduces to basename "x"; the disk lookup is confined to
// importDir, so no file is found, nothing is uploaded, and the row becomes a
// metadata-only PLACEHOLDER — the file outside importDir is never read.
ReflectionTestUtils.setField(importer, "importDir", tempDir.toString());
when(documentService.findByOriginalFilename("W-0001")).thenReturn(Optional.empty());
when(documentService.save(any())).thenAnswer(inv -> inv.getArgument(0));
Path xlsx = writeDocs(tempDir, docRow("W-0001", "../../etc/cron.d/x", "", "", "", "", "", "", "", ""));
importer.load(xlsx.toFile());
verify(s3Client, never()).putObject(any(PutObjectRequest.class), any(RequestBody.class));
verify(documentService).save(org.mockito.ArgumentMatchers.argThat(d -> d.getStatus() == DocumentStatus.PLACEHOLDER));
}
// ─── PDF magic-byte guard — ported — do not remove ──────────────────────────────
@Test
void load_skipsFile_whenNotPdfMagicBytes(@TempDir Path tempDir) throws Exception {
ReflectionTestUtils.setField(importer, "importDir", tempDir.toString());
Files.writeString(tempDir.resolve("W-0001.pdf"), "not a pdf");
lenient().when(documentService.findByOriginalFilename(any())).thenReturn(Optional.empty());
Path xlsx = writeDocs(tempDir, docRow("W-0001", "..\\__scan\\W-0001.pdf", "", "", "", "", "", "", "", ""));
DocumentImporter.LoadResult result = importer.load(xlsx.toFile());
assertThat(result.skippedFiles())
.extracting(ImportStatus.SkippedFile::reason)
.containsExactly(ImportStatus.SkipReason.INVALID_PDF_SIGNATURE);
verify(s3Client, never()).putObject(any(PutObjectRequest.class), any(RequestBody.class));
}
@Test
void load_skipsFile_whenMagicByteCheckThrowsIoException(@TempDir Path tempDir) throws Exception {
ReflectionTestUtils.setField(importer, "importDir", tempDir.toString());
Files.writeString(tempDir.resolve("W-0001.pdf"), "content");
lenient().when(documentService.findByOriginalFilename(any())).thenReturn(Optional.empty());
Path xlsx = writeDocs(tempDir, docRow("W-0001", "..\\__scan\\W-0001.pdf", "", "", "", "", "", "", "", ""));
DocumentImporter spyImporter = org.mockito.Mockito.spy(importer);
org.mockito.Mockito.doThrow(new java.io.IOException("read error"))
.when(spyImporter).openFileStream(any(File.class));
DocumentImporter.LoadResult result = spyImporter.load(xlsx.toFile());
assertThat(result.skippedFiles())
.extracting(ImportStatus.SkippedFile::reason)
.containsExactly(ImportStatus.SkipReason.FILE_READ_ERROR);
}
@Test
void load_skipsAlreadyExists_whenDocumentUploadedNotPlaceholder(@TempDir Path tempDir) throws Exception {
ReflectionTestUtils.setField(importer, "importDir", tempDir.toString());
Document existing = Document.builder().id(UUID.randomUUID())
.originalFilename("W-0001").status(DocumentStatus.UPLOADED).build();
when(documentService.findByOriginalFilename("W-0001")).thenReturn(Optional.of(existing));
Path xlsx = writeDocs(tempDir, docRow("W-0001", "", "", "", "", "", "", "", "", ""));
DocumentImporter.LoadResult result = importer.load(xlsx.toFile());
assertThat(result.skippedFiles())
.extracting(ImportStatus.SkippedFile::reason)
.containsExactly(ImportStatus.SkipReason.ALREADY_EXISTS);
verify(documentService, never()).save(any());
}
// ─── file column drives status: present → UPLOADED, empty → PLACEHOLDER ───────────
@Test
void load_uploadsToS3_andSetsStatusUploaded_whenFilePresent(@TempDir Path tempDir) throws Exception {
ReflectionTestUtils.setField(importer, "importDir", tempDir.toString());
byte[] pdf = {0x25, 0x50, 0x44, 0x46, 0x2D};
Files.write(tempDir.resolve("W-0001.pdf"), pdf);
when(documentService.findByOriginalFilename("W-0001")).thenReturn(Optional.empty());
when(documentService.save(any())).thenAnswer(inv -> inv.getArgument(0));
Path xlsx = writeDocs(tempDir, docRow("W-0001", "..\\__scan\\W-0001.pdf", "", "", "", "", "", "", "", ""));
importer.load(xlsx.toFile());
verify(s3Client).putObject(any(PutObjectRequest.class), any(RequestBody.class));
verify(documentService).save(org.mockito.ArgumentMatchers.argThat(d -> d.getStatus() == DocumentStatus.UPLOADED));
}
@Test
void load_setsStatusPlaceholder_whenFileColumnEmpty(@TempDir Path tempDir) throws Exception {
ReflectionTestUtils.setField(importer, "importDir", tempDir.toString());
when(documentService.findByOriginalFilename("W-0099")).thenReturn(Optional.empty());
when(documentService.save(any())).thenAnswer(inv -> inv.getArgument(0));
Path xlsx = writeDocs(tempDir, docRow("W-0099", "", "", "", "", "", "", "", "", ""));
importer.load(xlsx.toFile());
verify(documentService).save(org.mockito.ArgumentMatchers.argThat(d -> d.getStatus() == DocumentStatus.PLACEHOLDER));
verify(s3Client, never()).putObject(any(PutObjectRequest.class), any(RequestBody.class));
}
// ─── attribution routing — register-first + always retain raw ────────────────────
@Test
void load_linksRegisterSender_andRetainsRawSenderText(@TempDir Path tempDir) throws Exception {
ReflectionTestUtils.setField(importer, "importDir", tempDir.toString());
Person walter = Person.builder().id(UUID.randomUUID()).sourceRef("de-gruyter-walter")
.firstName("Walter").lastName("de Gruyter").build();
when(documentService.findByOriginalFilename("W-0001")).thenReturn(Optional.empty());
when(documentService.save(any())).thenAnswer(inv -> inv.getArgument(0));
when(personService.findBySourceRef("de-gruyter-walter")).thenReturn(Optional.of(walter));
Path xlsx = writeDocs(tempDir, docRow("W-0001", "", "de-gruyter-walter", "Walter de Gruyter",
"", "", "", "", "", ""));
importer.load(xlsx.toFile());
verify(documentService).save(org.mockito.ArgumentMatchers.argThat(d ->
d.getSender() == walter && "Walter de Gruyter".equals(d.getSenderText())));
}
@Test
void load_createsProvisionalSender_whenSlugUnmatchedInRegister(@TempDir Path tempDir) throws Exception {
ReflectionTestUtils.setField(importer, "importDir", tempDir.toString());
Person provisional = Person.builder().id(UUID.randomUUID()).sourceRef("schwester-hanni")
.lastName("Schwester Hanni").provisional(true).build();
when(documentService.findByOriginalFilename("W-0002")).thenReturn(Optional.empty());
when(documentService.save(any())).thenAnswer(inv -> inv.getArgument(0));
when(personService.findBySourceRef("schwester-hanni")).thenReturn(Optional.empty());
when(personService.upsertBySourceRef(any())).thenReturn(provisional);
Path xlsx = writeDocs(tempDir, docRow("W-0002", "", "schwester-hanni", "Schwester Hanni",
"", "", "", "", "", ""));
importer.load(xlsx.toFile());
org.mockito.ArgumentCaptor<PersonUpsertCommand> captor =
org.mockito.ArgumentCaptor.forClass(PersonUpsertCommand.class);
verify(personService).upsertBySourceRef(captor.capture());
assertThat(captor.getValue().provisional()).isTrue();
assertThat(captor.getValue().lastName()).isEqualTo("Schwester Hanni");
}
@Test
void load_createsNoSenderPerson_whenSlugEmptyButRawPresent(@TempDir Path tempDir) throws Exception {
ReflectionTestUtils.setField(importer, "importDir", tempDir.toString());
when(documentService.findByOriginalFilename("W-0003")).thenReturn(Optional.empty());
when(documentService.save(any())).thenAnswer(inv -> inv.getArgument(0));
Path xlsx = writeDocs(tempDir, docRow("W-0003", "", "", "?",
"", "", "", "", "", ""));
importer.load(xlsx.toFile());
verify(personService, never()).findBySourceRef(any());
verify(personService, never()).upsertBySourceRef(any());
verify(documentService).save(org.mockito.ArgumentMatchers.argThat(d ->
d.getSender() == null && "?".equals(d.getSenderText())));
}
@Test
void load_splitsMultipleReceivers_andRetainsRawReceiverText(@TempDir Path tempDir) throws Exception {
ReflectionTestUtils.setField(importer, "importDir", tempDir.toString());
Person herbert = Person.builder().id(UUID.randomUUID()).sourceRef("cram-herbert").lastName("Cram").build();
Person clara = Person.builder().id(UUID.randomUUID()).sourceRef("clara").lastName("Clara").build();
when(documentService.findByOriginalFilename("W-0004")).thenReturn(Optional.empty());
when(documentService.save(any())).thenAnswer(inv -> inv.getArgument(0));
when(personService.findBySourceRef("cram-herbert")).thenReturn(Optional.of(herbert));
when(personService.findBySourceRef("clara")).thenReturn(Optional.of(clara));
Path xlsx = writeDocs(tempDir, docRow("W-0004", "", "", "",
"cram-herbert|clara", "Herbert Cram|Clara", "", "", "", ""));
importer.load(xlsx.toFile());
verify(documentService).save(org.mockito.ArgumentMatchers.argThat(d ->
d.getReceivers().size() == 2
&& d.getReceivers().contains(herbert)
&& d.getReceivers().contains(clara)
&& "Herbert Cram|Clara".equals(d.getReceiverText())));
}
// ─── clean date values parse without semantic logic ──────────────────────────────
@Test
void load_parsesCleanDateAndPrecision(@TempDir Path tempDir) throws Exception {
ReflectionTestUtils.setField(importer, "importDir", tempDir.toString());
when(documentService.findByOriginalFilename("W-0005")).thenReturn(Optional.empty());
when(documentService.save(any())).thenAnswer(inv -> inv.getArgument(0));
Path xlsx = writeDocs(tempDir, docRow("W-0005", "", "", "",
"", "", "1916-06-01", "1.6.1916", "MONTH", ""));
importer.load(xlsx.toFile());
verify(documentService).save(org.mockito.ArgumentMatchers.argThat(d ->
LocalDate.of(1916, 6, 1).equals(d.getDocumentDate())
&& d.getMetaDatePrecision() == org.raddatz.familienarchiv.document.DatePrecision.MONTH
&& "1.6.1916".equals(d.getMetaDateRaw())));
}
@Test
void load_attachesTagBySourceRef(@TempDir Path tempDir) throws Exception {
ReflectionTestUtils.setField(importer, "importDir", tempDir.toString());
Tag tag = Tag.builder().id(UUID.randomUUID()).name("Brautbriefe").sourceRef("Themen/Brautbriefe").build();
when(documentService.findByOriginalFilename("W-0006")).thenReturn(Optional.empty());
when(documentService.save(any())).thenAnswer(inv -> inv.getArgument(0));
when(tagService.findBySourceRef("Themen/Brautbriefe")).thenReturn(Optional.of(tag));
Path xlsx = writeDocs(tempDir, docRowWithTag("W-0006", "Themen/Brautbriefe"));
importer.load(xlsx.toFile());
verify(documentService).save(org.mockito.ArgumentMatchers.argThat(d -> d.getTags().contains(tag)));
}
// ─── idempotency — update existing document in place by index ─────────────────────
@Test
void load_updatesExistingDocumentInPlace_whenIndexExists(@TempDir Path tempDir) throws Exception {
ReflectionTestUtils.setField(importer, "importDir", tempDir.toString());
Document existing = Document.builder().id(UUID.randomUUID())
.originalFilename("W-0007").status(DocumentStatus.PLACEHOLDER).build();
when(documentService.findByOriginalFilename("W-0007")).thenReturn(Optional.of(existing));
when(documentService.save(any())).thenAnswer(inv -> inv.getArgument(0));
Path xlsx = writeDocs(tempDir, docRow("W-0007", "", "", "", "", "", "", "", "", ""));
importer.load(xlsx.toFile());
verify(documentService).save(org.mockito.ArgumentMatchers.argThat(d -> d.getId().equals(existing.getId())));
}
// ─── canonical collections are authoritative — re-import prunes removed links ──────
@Test
void load_prunesReceiversAndTags_whenCanonicalRowShrinks(@TempDir Path tempDir) throws Exception {
ReflectionTestUtils.setField(importer, "importDir", tempDir.toString());
Person staleReceiver = Person.builder().id(UUID.randomUUID()).sourceRef("stale-receiver").lastName("Stale").build();
Tag staleTag = Tag.builder().id(UUID.randomUUID()).name("Stale").sourceRef("Themen/Stale").build();
Document existing = Document.builder().id(UUID.randomUUID())
.originalFilename("W-0008").status(DocumentStatus.PLACEHOLDER).build();
existing.getReceivers().add(staleReceiver);
existing.getTags().add(staleTag);
when(documentService.findByOriginalFilename("W-0008")).thenReturn(Optional.of(existing));
when(documentService.save(any())).thenAnswer(inv -> inv.getArgument(0));
// The canonical row now carries no receiver and no tag: both stale links must go.
Path xlsx = writeDocs(tempDir, docRow("W-0008", "", "", "", "", "", "", "", "", ""));
importer.load(xlsx.toFile());
verify(documentService).save(org.mockito.ArgumentMatchers.argThat(d ->
d.getReceivers().isEmpty() && d.getTags().isEmpty()));
}
// ─── helpers ─────────────────────────────────────────────────────────────────────
private Map<String, String> docRow(String index, String file, String senderId, String senderName,
String receiverIds, String receiverNames, String dateIso,
String dateRaw, String datePrecision, String dateEnd) {
Map<String, String> r = new LinkedHashMap<>();
r.put("index", index);
r.put("file", file);
r.put("sender_person_id", senderId);
r.put("sender_name", senderName);
r.put("receiver_person_ids", receiverIds);
r.put("receiver_names", receiverNames);
r.put("date_iso", dateIso);
r.put("date_raw", dateRaw);
r.put("date_precision", datePrecision);
r.put("date_end", dateEnd);
r.put("location", "");
r.put("tags", "");
r.put("summary", "");
return r;
}
private Map<String, String> docRowWithTag(String index, String tagPath) {
Map<String, String> r = docRow(index, "", "", "", "", "", "", "", "", "");
r.put("tags", tagPath);
return r;
}
@SafeVarargs
private Path writeDocs(Path dir, Map<String, String>... rows) throws Exception {
Path xlsx = dir.resolve("canonical-documents.xlsx");
List<String> headers = List.of("index", "file", "sender_person_id", "sender_name",
"receiver_person_ids", "receiver_names", "date_iso", "date_raw", "date_precision",
"date_end", "location", "tags", "summary");
try (XSSFWorkbook wb = new XSSFWorkbook()) {
Sheet sheet = wb.createSheet("Sheet1");
Row header = sheet.createRow(0);
for (int i = 0; i < headers.size(); i++) {
header.createCell(i).setCellValue(headers.get(i));
}
for (int r = 0; r < rows.length; r++) {
Row row = sheet.createRow(r + 1);
for (int c = 0; c < headers.size(); c++) {
row.createCell(c).setCellValue(rows[r].getOrDefault(headers.get(c), ""));
}
}
try (OutputStream out = Files.newOutputStream(xlsx)) {
wb.write(out);
}
}
return xlsx;
}
}

View File

@@ -0,0 +1,777 @@
package org.raddatz.familienarchiv.importing;
import org.junit.jupiter.api.BeforeEach;
import org.junit.jupiter.api.Test;
import org.junit.jupiter.api.extension.ExtendWith;
import org.junit.jupiter.api.io.TempDir;
import org.mockito.Mock;
import org.mockito.junit.jupiter.MockitoExtension;
import org.raddatz.familienarchiv.exception.DomainException;
import org.raddatz.familienarchiv.document.Document;
import org.raddatz.familienarchiv.document.DocumentService;
import org.raddatz.familienarchiv.document.DocumentStatus;
import org.raddatz.familienarchiv.document.ThumbnailAsyncRunner;
import org.raddatz.familienarchiv.person.Person;
import org.raddatz.familienarchiv.tag.Tag;
import org.raddatz.familienarchiv.tag.TagService;
import org.raddatz.familienarchiv.person.PersonService;
import org.springframework.test.util.ReflectionTestUtils;
import software.amazon.awssdk.core.sync.RequestBody;
import software.amazon.awssdk.services.s3.S3Client;
import software.amazon.awssdk.services.s3.model.PutObjectRequest;
import org.apache.poi.xssf.usermodel.XSSFWorkbook;
import org.xml.sax.SAXParseException;
import java.io.File;
import java.io.OutputStream;
import java.io.ByteArrayOutputStream;
import java.nio.charset.StandardCharsets;
import java.nio.file.Files;
import java.nio.file.Path;
import java.time.LocalDate;
import java.time.LocalDateTime;
import java.util.ArrayList;
import java.util.List;
import java.util.Optional;
import java.util.UUID;
import java.util.zip.ZipEntry;
import java.util.zip.ZipOutputStream;
import static org.assertj.core.api.Assertions.assertThat;
import static org.assertj.core.api.Assertions.assertThatThrownBy;
import static org.mockito.ArgumentMatchers.any;
import static org.mockito.Mockito.*;
@ExtendWith(MockitoExtension.class)
class MassImportServiceTest {
@Mock DocumentService documentService;
@Mock PersonService personService;
@Mock TagService tagService;
@Mock S3Client s3Client;
@Mock ThumbnailAsyncRunner thumbnailAsyncRunner;
MassImportService service;
@BeforeEach
void setUp() {
service = new MassImportService(documentService, personService, tagService, s3Client, thumbnailAsyncRunner);
ReflectionTestUtils.setField(service, "bucketName", "test-bucket");
ReflectionTestUtils.setField(service, "importDir", "/import");
ReflectionTestUtils.setField(service, "colIndex", 0);
ReflectionTestUtils.setField(service, "colBox", 1);
ReflectionTestUtils.setField(service, "colFolder", 2);
ReflectionTestUtils.setField(service, "colSender", 3);
ReflectionTestUtils.setField(service, "colReceivers", 5);
ReflectionTestUtils.setField(service, "colDate", 7);
ReflectionTestUtils.setField(service, "colLocation", 9);
ReflectionTestUtils.setField(service, "colTags", 10);
ReflectionTestUtils.setField(service, "colSummary", 11);
ReflectionTestUtils.setField(service, "colTranscription", 13);
}
// ─── getStatus ────────────────────────────────────────────────────────────
@Test
void getStatus_returnsIdleByDefault() {
assertThat(service.getStatus().state()).isEqualTo(MassImportService.State.IDLE);
}
@Test
void getStatus_hasStatusCode_IMPORT_IDLE_byDefault() {
assertThat(service.getStatus().statusCode()).isEqualTo("IMPORT_IDLE");
}
// ─── runImportAsync ───────────────────────────────────────────────────────
@Test
void runImportAsync_setsFailedStatus_whenImportDirectoryDoesNotExist() {
// /import directory doesn't exist in test environment → IOException → IMPORT_FAILED_INTERNAL
service.runImportAsync();
assertThat(service.getStatus().state()).isEqualTo(MassImportService.State.FAILED);
assertThat(service.getStatus().statusCode()).isEqualTo("IMPORT_FAILED_INTERNAL");
}
@Test
void runImportAsync_readsFromConfiguredImportDir(@TempDir Path tempDir) {
// Empty temp dir → findSpreadsheetFile throws "no spreadsheet" with the
// configured path in the message. Proves the field, not a constant,
// drives the lookup.
ReflectionTestUtils.setField(service, "importDir", tempDir.toString());
service.runImportAsync();
assertThat(service.getStatus().state()).isEqualTo(MassImportService.State.FAILED);
assertThat(service.getStatus().message()).contains(tempDir.toString());
}
@Test
void runImportAsync_setsStatusCode_IMPORT_FAILED_NO_SPREADSHEET_whenDirIsEmpty(@TempDir Path tempDir) {
ReflectionTestUtils.setField(service, "importDir", tempDir.toString());
service.runImportAsync();
assertThat(service.getStatus().statusCode()).isEqualTo("IMPORT_FAILED_NO_SPREADSHEET");
}
@Test
void runImportAsync_setsStatusCode_IMPORT_DONE_whenSpreadsheetHasNoDataRows(@TempDir Path tempDir) throws Exception {
Path xlsx = tempDir.resolve("import.xlsx");
try (XSSFWorkbook wb = new XSSFWorkbook()) {
wb.createSheet("Sheet1");
try (OutputStream out = Files.newOutputStream(xlsx)) {
wb.write(out);
}
}
ReflectionTestUtils.setField(service, "importDir", tempDir.toString());
service.runImportAsync();
assertThat(service.getStatus().statusCode()).isEqualTo("IMPORT_DONE");
}
@Test
void runImportAsync_throwsConflict_whenAlreadyRunning() {
MassImportService.ImportStatus running = new MassImportService.ImportStatus(
MassImportService.State.RUNNING, "IMPORT_RUNNING", "Running...", 0, List.of(), LocalDateTime.now());
ReflectionTestUtils.setField(service, "currentStatus", running);
assertThatThrownBy(() -> service.runImportAsync())
.isInstanceOf(DomainException.class)
.hasMessageContaining("already in progress");
}
// ─── importSingleDocument — skip already uploaded ─────────────────────────
@Test
void importSingleDocument_skips_whenDocumentAlreadyUploadedNotPlaceholder() {
Document existing = Document.builder()
.id(UUID.randomUUID())
.originalFilename("doc001.pdf")
.status(DocumentStatus.UPLOADED)
.build();
when(documentService.findByOriginalFilename("doc001.pdf")).thenReturn(Optional.of(existing));
Optional<String> result = service.importSingleDocument(minimalCells("doc001.pdf"), Optional.empty(), "doc001.pdf", "doc001");
verify(documentService, never()).save(any());
assertThat(result).isPresent().contains("ALREADY_EXISTS");
}
// ─── importSingleDocument — already-exists guard fires before file I/O ─────
@Test
void importSingleDocument_skipsWithAlreadyExists_whenDocumentUploadedAndFileIsPresent(@TempDir Path tempDir) throws Exception {
// Document already exists with status UPLOADED (not PLACEHOLDER).
// A physical PDF file is also present on disk (valid magic bytes).
// Expected: ALREADY_EXISTS is returned and no S3 upload is attempted —
// the guard fires before any file I/O, so no partial processing occurs.
Document existing = Document.builder()
.id(UUID.randomUUID())
.originalFilename("present.pdf")
.status(DocumentStatus.UPLOADED)
.build();
when(documentService.findByOriginalFilename("present.pdf")).thenReturn(Optional.of(existing));
Path physicalFile = tempDir.resolve("present.pdf");
byte[] pdfHeader = {0x25, 0x50, 0x44, 0x46, 0x2D}; // %PDF-
Files.write(physicalFile, pdfHeader);
Optional<String> result = service.importSingleDocument(
minimalCells("present.pdf"), Optional.of(physicalFile.toFile()), "present.pdf", "present");
assertThat(result).isPresent().contains("ALREADY_EXISTS");
verify(s3Client, never()).putObject(any(PutObjectRequest.class), any(RequestBody.class));
verify(documentService, never()).save(any());
}
// ─── importSingleDocument — S3 failure surfaced in skippedFiles ──────────
@Test
void runImportAsync_addsS3UploadFailed_toSkippedFiles_whenS3Throws(@TempDir Path tempDir) throws Exception {
byte[] pdfHeader = {0x25, 0x50, 0x44, 0x46, 0x2D}; // %PDF-
Files.write(tempDir.resolve("upload_fail.pdf"), pdfHeader);
buildMinimalImportXlsx(tempDir, "upload_fail.pdf");
ReflectionTestUtils.setField(service, "importDir", tempDir.toString());
when(documentService.findByOriginalFilename("upload_fail.pdf")).thenReturn(Optional.empty());
doThrow(new RuntimeException("S3 unavailable"))
.when(s3Client).putObject(any(PutObjectRequest.class), any(RequestBody.class));
service.runImportAsync();
assertThat(service.getStatus().skipped()).isEqualTo(1);
assertThat(service.getStatus().skippedFiles())
.extracting(MassImportService.SkippedFile::filename, MassImportService.SkippedFile::reason)
.containsExactly(org.assertj.core.groups.Tuple.tuple("upload_fail.pdf", "S3_UPLOAD_FAILED"));
}
@Test
void runImportAsync_addsAlreadyExists_toSkippedFiles_whenDocumentAlreadyUploaded(@TempDir Path tempDir) throws Exception {
buildMinimalImportXlsx(tempDir, "existing.pdf");
ReflectionTestUtils.setField(service, "importDir", tempDir.toString());
Document existing = Document.builder()
.id(UUID.randomUUID())
.originalFilename("existing.pdf")
.status(DocumentStatus.UPLOADED)
.build();
when(documentService.findByOriginalFilename("existing.pdf")).thenReturn(Optional.of(existing));
service.runImportAsync();
assertThat(service.getStatus().skipped()).isEqualTo(1);
assertThat(service.getStatus().skippedFiles())
.extracting(MassImportService.SkippedFile::reason)
.containsExactly("ALREADY_EXISTS");
}
// ─── importSingleDocument — create new document (metadata only) ───────────
@Test
void importSingleDocument_createsNewDocument_whenNotExists() {
when(documentService.findByOriginalFilename("doc002.pdf")).thenReturn(Optional.empty());
when(documentService.save(any())).thenAnswer(inv -> inv.getArgument(0));
service.importSingleDocument(minimalCells("doc002.pdf"), Optional.empty(), "doc002.pdf", "doc002");
verify(documentService).save(argThat(d ->
d.getOriginalFilename().equals("doc002.pdf")
&& d.getStatus() == DocumentStatus.PLACEHOLDER));
}
// ─── importSingleDocument — update existing placeholder ──────────────────
@Test
void importSingleDocument_updatesExistingPlaceholder() {
Document placeholder = Document.builder()
.id(UUID.randomUUID())
.originalFilename("existing.pdf")
.status(DocumentStatus.PLACEHOLDER)
.build();
when(documentService.findByOriginalFilename("existing.pdf")).thenReturn(Optional.of(placeholder));
when(documentService.save(any())).thenAnswer(inv -> inv.getArgument(0));
service.importSingleDocument(minimalCells("existing.pdf"), Optional.empty(), "existing.pdf", "existing");
verify(documentService).save(same(placeholder));
}
// ─── importSingleDocument — with file (S3 upload) ─────────────────────────
@Test
void importSingleDocument_uploadsFileToS3_andSetsStatusUploaded(@TempDir Path tempDir) throws Exception {
Path tempFile = tempDir.resolve("doc003.pdf");
Files.write(tempFile, "PDF content".getBytes());
when(documentService.findByOriginalFilename("doc003.pdf")).thenReturn(Optional.empty());
when(documentService.save(any())).thenAnswer(inv -> inv.getArgument(0));
service.importSingleDocument(
minimalCells("doc003.pdf"), Optional.of(tempFile.toFile()), "doc003.pdf", "doc003");
verify(s3Client).putObject(any(PutObjectRequest.class), any(RequestBody.class));
verify(documentService).save(argThat(d -> d.getStatus() == DocumentStatus.UPLOADED));
}
@Test
void importSingleDocument_returnsS3UploadFailed_whenS3UploadFails(@TempDir Path tempDir) throws Exception {
Path tempFile = tempDir.resolve("fail.pdf");
Files.write(tempFile, "data".getBytes());
when(documentService.findByOriginalFilename("fail.pdf")).thenReturn(Optional.empty());
doThrow(new RuntimeException("S3 error"))
.when(s3Client).putObject(any(PutObjectRequest.class), any(RequestBody.class));
Optional<String> result = service.importSingleDocument(
minimalCells("fail.pdf"), Optional.of(tempFile.toFile()), "fail.pdf", "fail");
verify(documentService, never()).save(any());
assertThat(result).isPresent().contains("S3_UPLOAD_FAILED");
}
// ─── importSingleDocument — sender handling ───────────────────────────────
@Test
void importSingleDocument_setsNullSender_whenSenderCellIsBlank() {
when(documentService.findByOriginalFilename("nosender.pdf")).thenReturn(Optional.empty());
when(documentService.save(any())).thenAnswer(inv -> inv.getArgument(0));
List<String> cells = buildCells("nosender.pdf", "", "", "");
service.importSingleDocument(cells, Optional.empty(), "nosender.pdf", "nosender");
verify(documentService).save(argThat(d -> d.getSender() == null));
verify(personService, never()).findOrCreateByAlias(any());
}
@Test
void importSingleDocument_createsSender_whenSenderCellIsNonBlank() {
Person sender = Person.builder().id(UUID.randomUUID()).firstName("Walter").lastName("Müller").build();
when(documentService.findByOriginalFilename("withsender.pdf")).thenReturn(Optional.empty());
when(documentService.save(any())).thenAnswer(inv -> inv.getArgument(0));
when(personService.findOrCreateByAlias("Walter Müller")).thenReturn(sender);
List<String> cells = buildCells("withsender.pdf", "Walter Müller", "", "");
service.importSingleDocument(cells, Optional.empty(), "withsender.pdf", "withsender");
verify(personService).findOrCreateByAlias("Walter Müller");
verify(documentService).save(argThat(d -> d.getSender() == sender));
}
// ─── importSingleDocument — tag handling ─────────────────────────────────
@Test
void importSingleDocument_createsTag_whenTagCellIsNonBlank() {
Tag tag = Tag.builder().id(UUID.randomUUID()).name("Familie").build();
when(documentService.findByOriginalFilename("tagged.pdf")).thenReturn(Optional.empty());
when(documentService.save(any())).thenAnswer(inv -> inv.getArgument(0));
when(tagService.findOrCreate("Familie")).thenReturn(tag);
List<String> cells = buildCells("tagged.pdf", "", "", "Familie");
service.importSingleDocument(cells, Optional.empty(), "tagged.pdf", "tagged");
verify(tagService).findOrCreate("Familie");
}
@Test
void importSingleDocument_doesNotCreateTag_whenTagCellIsBlank() {
when(documentService.findByOriginalFilename("notag.pdf")).thenReturn(Optional.empty());
when(documentService.save(any())).thenAnswer(inv -> inv.getArgument(0));
List<String> cells = buildCells("notag.pdf", "", "", "");
service.importSingleDocument(cells, Optional.empty(), "notag.pdf", "notag");
verify(tagService, never()).findOrCreate(any());
}
// ─── importSingleDocument — metadataComplete heuristic ───────────────────
@Test
void importSingleDocument_metadataComplete_whenSenderPresent() {
Person sender = Person.builder().id(UUID.randomUUID()).firstName("A").lastName("B").build();
when(documentService.findByOriginalFilename("meta.pdf")).thenReturn(Optional.empty());
when(documentService.save(any())).thenAnswer(inv -> inv.getArgument(0));
when(personService.findOrCreateByAlias("A B")).thenReturn(sender);
List<String> cells = buildCells("meta.pdf", "A B", "", "");
service.importSingleDocument(cells, Optional.empty(), "meta.pdf", "meta");
verify(documentService).save(argThat(Document::isMetadataComplete));
}
@Test
void importSingleDocument_metadataIncomplete_whenNoKeyFieldsPresent() {
when(documentService.findByOriginalFilename("nometa.pdf")).thenReturn(Optional.empty());
when(documentService.save(any())).thenAnswer(inv -> inv.getArgument(0));
List<String> cells = buildCells("nometa.pdf", "", "", "");
service.importSingleDocument(cells, Optional.empty(), "nometa.pdf", "nometa");
verify(documentService).save(argThat(d -> !d.isMetadataComplete()));
}
// ─── importSingleDocument — blank fields set to null ─────────────────────
@Test
void importSingleDocument_setsBlankFieldsToNull() {
when(documentService.findByOriginalFilename("blank.pdf")).thenReturn(Optional.empty());
when(documentService.save(any())).thenAnswer(inv -> inv.getArgument(0));
List<String> cells = buildCells("blank.pdf", "", "", "");
service.importSingleDocument(cells, Optional.empty(), "blank.pdf", "blank");
verify(documentService).save(argThat(d ->
d.getLocation() == null &&
d.getSummary() == null &&
d.getTranscription() == null &&
d.getArchiveBox() == null &&
d.getArchiveFolder() == null));
}
// ─── processRows — via ReflectionTestUtils ────────────────────────────────
@Test
void processRows_returnsZero_whenOnlyHeaderRow() {
List<List<String>> rows = List.of(List.of("header", "col1"));
MassImportService.ProcessResult result = ReflectionTestUtils.invokeMethod(service, "processRows", rows);
assertThat(result.processed()).isEqualTo(0);
}
@Test
void processRows_skipsRowWithBlankIndex() {
List<List<String>> rows = List.of(
List.of("header"),
minimalCells("") // blank index
);
MassImportService.ProcessResult result = ReflectionTestUtils.invokeMethod(service, "processRows", rows);
assertThat(result.processed()).isEqualTo(0);
verify(documentService, never()).findByOriginalFilename(any());
}
@Test
void processRows_addsExtension_whenIndexHasNoDot() {
when(documentService.findByOriginalFilename("doc001.pdf")).thenReturn(Optional.empty());
when(documentService.save(any())).thenAnswer(inv -> inv.getArgument(0));
List<List<String>> rows = List.of(
List.of("header"),
minimalCells("doc001") // no dot → appends ".pdf"
);
MassImportService.ProcessResult result = ReflectionTestUtils.invokeMethod(service, "processRows", rows);
assertThat(result.processed()).isEqualTo(1);
verify(documentService).findByOriginalFilename("doc001.pdf");
}
@Test
void processRows_usesFilenameAsIs_whenIndexHasDot() {
when(documentService.findByOriginalFilename("doc002.pdf")).thenReturn(Optional.empty());
when(documentService.save(any())).thenAnswer(inv -> inv.getArgument(0));
List<List<String>> rows = List.of(
List.of("header"),
minimalCells("doc002.pdf") // has dot → used as-is
);
MassImportService.ProcessResult result = ReflectionTestUtils.invokeMethod(service, "processRows", rows);
assertThat(result.processed()).isEqualTo(1);
verify(documentService).findByOriginalFilename("doc002.pdf");
}
// ─── importSingleDocument — non-blank optional fields ────────────────────
@Test
void importSingleDocument_setsNonNullOptionalFields_whenPresent() {
when(documentService.findByOriginalFilename("rich.pdf")).thenReturn(Optional.empty());
when(documentService.save(any())).thenAnswer(inv -> inv.getArgument(0));
// box=1, folder=2, location=9, summary=11, transcription=13
List<String> cells = List.of(
"rich.pdf", // 0: index
"Box A", // 1: box
"Folder B", // 2: folder
"", // 3: sender
"", // 4: unused
"", // 5: receivers
"", // 6: unused
"", // 7: date
"", // 8: unused
"Hamburg", // 9: location
"", // 10: tags
"A summary", // 11: summary
"", // 12: unused
"A transcript" // 13: transcription
);
service.importSingleDocument(cells, Optional.empty(), "rich.pdf", "rich");
verify(documentService).save(argThat(d ->
"Box A".equals(d.getArchiveBox()) &&
"Folder B".equals(d.getArchiveFolder()) &&
"Hamburg".equals(d.getLocation()) &&
"A summary".equals(d.getSummary()) &&
"A transcript".equals(d.getTranscription())));
}
@Test
void importSingleDocument_setsMetadataComplete_whenReceiversArePresent() {
Person receiver = Person.builder().id(UUID.randomUUID()).firstName("Walter").lastName("Müller").build();
when(documentService.findByOriginalFilename("rcv.pdf")).thenReturn(Optional.empty());
when(documentService.save(any())).thenAnswer(inv -> inv.getArgument(0));
when(personService.findOrCreateByAlias("Walter Müller")).thenReturn(receiver);
List<String> cells = List.of(
"rcv.pdf", "", "", "", "", "Walter Müller", "", "", "", "", "", "", "", "");
service.importSingleDocument(cells, Optional.empty(), "rcv.pdf", "rcv");
verify(documentService).save(argThat(Document::isMetadataComplete));
}
@Test
void importSingleDocument_setsMetadataComplete_whenDateIsPresent() {
when(documentService.findByOriginalFilename("dated.pdf")).thenReturn(Optional.empty());
when(documentService.save(any())).thenAnswer(inv -> inv.getArgument(0));
List<String> cells = List.of(
"dated.pdf", "", "", "", "", "", "", "2024-03-15", "", "", "", "", "", "");
service.importSingleDocument(cells, Optional.empty(), "dated.pdf", "dated");
verify(documentService).save(argThat(Document::isMetadataComplete));
}
// ─── buildTitle — null location ───────────────────────────────────────────
@Test
void buildTitle_withNullLocation_skipsLocationPart() {
String result = ReflectionTestUtils.invokeMethod(service, "buildTitle",
"doc005", LocalDate.of(1940, 5, 1), (String) null);
assertThat(result).contains("doc005").contains("1940");
assertThat(result).doesNotContain("Berlin");
}
// ─── parseDate — via ReflectionTestUtils ─────────────────────────────────
@Test
void parseDate_returnsNull_whenValueIsNull() {
LocalDate result = ReflectionTestUtils.invokeMethod(service, "parseDate", (String) null);
assertThat(result).isNull();
}
@Test
void parseDate_returnsNull_whenValueIsBlank() {
LocalDate result = ReflectionTestUtils.invokeMethod(service, "parseDate", " ");
assertThat(result).isNull();
}
@Test
void parseDate_returnsDate_whenValidIsoFormat() {
LocalDate result = ReflectionTestUtils.invokeMethod(service, "parseDate", "2024-03-15");
assertThat(result).isEqualTo(LocalDate.of(2024, 3, 15));
}
@Test
void parseDate_returnsNull_whenInvalidDateString() {
LocalDate result = ReflectionTestUtils.invokeMethod(service, "parseDate", "15.03.2024");
assertThat(result).isNull();
}
// ─── buildTitle — via ReflectionTestUtils ────────────────────────────────
@Test
void buildTitle_withDateAndLocation() {
String result = ReflectionTestUtils.invokeMethod(service, "buildTitle",
"doc001", LocalDate.of(1940, 5, 1), "Berlin");
assertThat(result).contains("doc001").contains("Berlin").contains("1940");
}
@Test
void buildTitle_withDateOnly() {
String result = ReflectionTestUtils.invokeMethod(service, "buildTitle",
"doc002", LocalDate.of(1960, 8, 15), "");
assertThat(result).contains("doc002").contains("1960");
assertThat(result).doesNotContain("Berlin");
}
@Test
void buildTitle_withIndexOnly_whenDateAndLocationAreNull() {
String result = ReflectionTestUtils.invokeMethod(service, "buildTitle",
"doc003", null, "");
assertThat(result).isEqualTo("doc003");
}
@Test
void buildTitle_withLocationOnly_whenDateIsNull() {
// date=null, location present → date part skipped, location appended
String result = ReflectionTestUtils.invokeMethod(service, "buildTitle",
"doc004", null, "Berlin");
assertThat(result).contains("doc004").contains("Berlin");
assertThat(result).doesNotContain("("); // no date part
}
// ─── getCell — via ReflectionTestUtils ───────────────────────────────────
@Test
void getCell_returnsEmptyString_whenColBeyondListSize() {
List<String> cells = List.of("a", "b");
String result = ReflectionTestUtils.invokeMethod(service, "getCell", cells, 5);
assertThat(result).isEmpty();
}
@Test
void getCell_returnsEmptyString_whenValueIsNull() {
List<String> cells = new ArrayList<>();
cells.add(null);
cells.add("b");
String result = ReflectionTestUtils.invokeMethod(service, "getCell", cells, 0);
assertThat(result).isEmpty();
}
@Test
void getCell_returnsTrimmedValue() {
List<String> cells = List.of(" hello ", "world");
String result = ReflectionTestUtils.invokeMethod(service, "getCell", cells, 0);
assertThat(result).isEqualTo("hello");
}
// ─── PDF magic byte validation regression ─────────────────────────────────
@Test
void runImportAsync_uploadsValidPdf_andSkipsFakeOne(@TempDir Path tempDir) throws Exception {
setupOneValidOneFakeImport(tempDir);
service.runImportAsync();
verify(s3Client, times(1)).putObject(any(PutObjectRequest.class), any(RequestBody.class));
}
@Test
void runImportAsync_setsSkippedCount_toOne_whenOneFakeFile(@TempDir Path tempDir) throws Exception {
setupOneValidOneFakeImport(tempDir);
service.runImportAsync();
assertThat(service.getStatus().skipped()).isEqualTo(1);
}
@Test
void runImportAsync_includesRejectedFilename_inSkippedFiles(@TempDir Path tempDir) throws Exception {
setupOneValidOneFakeImport(tempDir);
service.runImportAsync();
assertThat(service.getStatus().skippedFiles())
.extracting(MassImportService.SkippedFile::filename)
.contains("fake.pdf");
}
@Test
void runImportAsync_skipsFile_whenShorterThanFourBytes(@TempDir Path tempDir) throws Exception {
Files.write(tempDir.resolve("tiny.pdf"), new byte[]{0x25, 0x50, 0x44}); // only 3 bytes
buildMinimalImportXlsx(tempDir, "tiny.pdf");
ReflectionTestUtils.setField(service, "importDir", tempDir.toString());
lenient().when(documentService.findByOriginalFilename(any())).thenReturn(Optional.empty());
service.runImportAsync();
assertThat(service.getStatus().skipped()).isEqualTo(1);
}
@Test
void runImportAsync_skipsFile_whenMagicBytesCheckThrowsIOException(@TempDir Path tempDir) throws Exception {
Files.writeString(tempDir.resolve("unreadable.pdf"), "some content");
buildMinimalImportXlsx(tempDir, "unreadable.pdf");
ReflectionTestUtils.setField(service, "importDir", tempDir.toString());
lenient().when(documentService.findByOriginalFilename(any())).thenReturn(Optional.empty());
MassImportService spyService = spy(service);
doThrow(new java.io.IOException("simulated read error")).when(spyService).openFileStream(any(File.class));
spyService.runImportAsync();
assertThat(spyService.getStatus().skipped()).isEqualTo(1);
assertThat(spyService.getStatus().skippedFiles())
.extracting(MassImportService.SkippedFile::reason)
.containsExactly("FILE_READ_ERROR");
}
// ─── readOds — XXE security regression ───────────────────────────────────
// Security regression — do not remove.
@Test
void readOds_rejects_xxe_doctype_payload(@TempDir Path tempDir) throws Exception {
File malicious = buildXxeOds(tempDir, "file:///etc/hostname");
assertThatThrownBy(() -> service.readOds(malicious))
.isInstanceOf(SAXParseException.class)
.hasMessageContaining("DOCTYPE is disallowed");
}
@Test
void readOds_parses_valid_ods_correctly(@TempDir Path tempDir) throws Exception {
File valid = buildValidOds(tempDir, "Mustermann");
List<List<String>> rows = service.readOds(valid);
assertThat(rows).isNotEmpty();
assertThat(rows.get(0)).contains("Mustermann");
}
// ─── helpers ──────────────────────────────────────────────────────────────
/**
* Builds a minimal 14-element cell row with the given filename at index 0
* and blanks for all optional fields.
*/
private List<String> minimalCells(String filename) {
return buildCells(filename, "", "", "");
}
/**
* Builds a cell row with sender, receiver, and tag controls.
* Layout matches the default column indices set in setUp().
*/
private List<String> buildCells(String filename, String sender, String receivers, String tag) {
// 14 elements: index=0,box=1,folder=2,sender=3,[4],receivers=5,[6],date=7,[8],location=9,tag=10,summary=11,[12],transcription=13
return List.of(
filename, // 0: index
"", // 1: box
"", // 2: folder
sender, // 3: sender
"", // 4: (unused)
receivers, // 5: receivers
"", // 6: (unused)
"", // 7: date
"", // 8: (unused)
"", // 9: location
tag, // 10: tags
"", // 11: summary
"", // 12: (unused)
"" // 13: transcription
);
}
/** Creates a minimal ODS ZIP containing a content.xml with an XXE payload. */
private File buildXxeOds(Path dir, String entityTarget) throws Exception {
String xml = "<?xml version=\"1.0\"?>"
+ "<!DOCTYPE foo [<!ENTITY xxe SYSTEM \"" + entityTarget + "\">]>"
+ "<office:document-content"
+ " xmlns:office=\"urn:oasis:names:tc:opendocument:xmlns:office:1.0\""
+ " xmlns:table=\"urn:oasis:names:tc:opendocument:xmlns:table:1.0\""
+ " xmlns:text=\"urn:oasis:names:tc:opendocument:xmlns:text:1.0\">"
+ "<office:body><office:spreadsheet>"
+ "<table:table><table:table-row><table:table-cell>"
+ "<text:p>&xxe;</text:p>"
+ "</table:table-cell></table:table-row></table:table>"
+ "</office:spreadsheet></office:body>"
+ "</office:document-content>";
return writeOdsZip(dir.resolve("malicious.ods"), xml);
}
/** Creates a minimal valid ODS ZIP containing a content.xml with the given cell value.
* cellValue must not contain XML metacharacters ({@code < > &}). */
private File buildValidOds(Path dir, String cellValue) throws Exception {
String xml = "<?xml version=\"1.0\"?>"
+ "<office:document-content"
+ " xmlns:office=\"urn:oasis:names:tc:opendocument:xmlns:office:1.0\""
+ " xmlns:table=\"urn:oasis:names:tc:opendocument:xmlns:table:1.0\""
+ " xmlns:text=\"urn:oasis:names:tc:opendocument:xmlns:text:1.0\">"
+ "<office:body><office:spreadsheet>"
+ "<table:table><table:table-row><table:table-cell>"
+ "<text:p>" + cellValue + "</text:p>"
+ "</table:table-cell></table:table-row></table:table>"
+ "</office:spreadsheet></office:body>"
+ "</office:document-content>";
return writeOdsZip(dir.resolve("valid.ods"), xml);
}
private File writeOdsZip(Path destination, String contentXml) throws Exception {
try (OutputStream fos = Files.newOutputStream(destination);
ZipOutputStream zip = new ZipOutputStream(fos)) {
zip.putNextEntry(new ZipEntry("content.xml"));
zip.write(contentXml.getBytes(StandardCharsets.UTF_8));
zip.closeEntry();
}
return destination.toFile();
}
private void setupOneValidOneFakeImport(Path tempDir) throws Exception {
byte[] pdfHeader = {0x25, 0x50, 0x44, 0x46, 0x2D}; // %PDF-
Files.write(tempDir.resolve("real.pdf"), pdfHeader);
Files.writeString(tempDir.resolve("fake.pdf"), "not a pdf");
buildMinimalImportXlsx(tempDir, "real.pdf", "fake.pdf");
ReflectionTestUtils.setField(service, "importDir", tempDir.toString());
when(documentService.findByOriginalFilename(any())).thenReturn(Optional.empty());
when(documentService.save(any())).thenAnswer(inv -> inv.getArgument(0));
}
private void buildMinimalImportXlsx(Path dir, String... filenames) throws Exception {
Path xlsx = dir.resolve("import.xlsx");
try (XSSFWorkbook wb = new XSSFWorkbook()) {
org.apache.poi.ss.usermodel.Sheet sheet = wb.createSheet("Sheet1");
sheet.createRow(0).createCell(0).setCellValue("Index");
for (int i = 0; i < filenames.length; i++) {
sheet.createRow(i + 1).createCell(0).setCellValue(filenames[i]);
}
try (OutputStream out = Files.newOutputStream(xlsx)) {
wb.write(out);
}
}
}
}

View File

@@ -1,130 +0,0 @@
package org.raddatz.familienarchiv.importing;
import org.apache.poi.ss.usermodel.Row;
import org.apache.poi.ss.usermodel.Sheet;
import org.apache.poi.xssf.usermodel.XSSFWorkbook;
import org.junit.jupiter.api.Test;
import org.junit.jupiter.api.extension.ExtendWith;
import org.junit.jupiter.api.io.TempDir;
import org.mockito.ArgumentCaptor;
import org.mockito.junit.jupiter.MockitoExtension;
import org.raddatz.familienarchiv.person.Person;
import org.raddatz.familienarchiv.person.PersonService;
import org.raddatz.familienarchiv.person.PersonUpsertCommand;
import java.io.OutputStream;
import java.nio.file.Files;
import java.nio.file.Path;
import java.util.LinkedHashMap;
import java.util.List;
import java.util.Map;
import java.util.UUID;
import static org.assertj.core.api.Assertions.assertThat;
import static org.mockito.ArgumentMatchers.any;
import static org.mockito.Mockito.mock;
import static org.mockito.Mockito.times;
import static org.mockito.Mockito.verify;
import static org.mockito.Mockito.when;
@ExtendWith(MockitoExtension.class)
class PersonRegisterImporterTest {
@Test
void load_upsertsPersonBySourceRef_withProvisionalFalse(@TempDir Path tempDir) throws Exception {
PersonService personService = mock(PersonService.class);
when(personService.upsertBySourceRef(any())).thenAnswer(inv -> personOf(inv.getArgument(0)));
Path xlsx = writePersons(tempDir, row(
"allemeyer-elsgard", "Allemeyer", "Elsgard", "Wöhler", "Nichte von Herbert", "False"));
new PersonRegisterImporter(personService).load(xlsx.toFile());
ArgumentCaptor<PersonUpsertCommand> captor = ArgumentCaptor.forClass(PersonUpsertCommand.class);
verify(personService).upsertBySourceRef(captor.capture());
PersonUpsertCommand cmd = captor.getValue();
assertThat(cmd.sourceRef()).isEqualTo("allemeyer-elsgard");
assertThat(cmd.lastName()).isEqualTo("Allemeyer");
assertThat(cmd.firstName()).isEqualTo("Elsgard");
assertThat(cmd.maidenName()).isEqualTo("Wöhler");
assertThat(cmd.notes()).isEqualTo("Nichte von Herbert");
assertThat(cmd.provisional()).isFalse();
}
@Test
void load_parsesCapitalisedPythonBool_True(@TempDir Path tempDir) throws Exception {
PersonService personService = mock(PersonService.class);
when(personService.upsertBySourceRef(any())).thenAnswer(inv -> personOf(inv.getArgument(0)));
Path xlsx = writePersons(tempDir, row(
"noise-geschirr", "Geschirr", "", "", "", "True"));
new PersonRegisterImporter(personService).load(xlsx.toFile());
ArgumentCaptor<PersonUpsertCommand> captor = ArgumentCaptor.forClass(PersonUpsertCommand.class);
verify(personService).upsertBySourceRef(captor.capture());
assertThat(captor.getValue().provisional()).isTrue();
}
@Test
void load_skipsRowWithBlankPersonId(@TempDir Path tempDir) throws Exception {
PersonService personService = mock(PersonService.class);
Path xlsx = writePersons(tempDir, row("", "NoId", "", "", "", "False"));
new PersonRegisterImporter(personService).load(xlsx.toFile());
verify(personService, times(0)).upsertBySourceRef(any());
}
@Test
void load_returnsCountOfProcessedRows(@TempDir Path tempDir) throws Exception {
PersonService personService = mock(PersonService.class);
when(personService.upsertBySourceRef(any())).thenAnswer(inv -> personOf(inv.getArgument(0)));
Path xlsx = writePersons(tempDir,
row("a-one", "One", "A", "", "", "False"),
row("a-two", "Two", "B", "", "", "False"));
int processed = new PersonRegisterImporter(personService).load(xlsx.toFile());
assertThat(processed).isEqualTo(2);
}
private static Person personOf(PersonUpsertCommand cmd) {
return Person.builder().id(UUID.randomUUID()).sourceRef(cmd.sourceRef())
.firstName(cmd.firstName()).lastName(cmd.lastName())
.provisional(cmd.provisional()).build();
}
private Map<String, String> row(String personId, String lastName, String firstName,
String maidenName, String notes, String provisional) {
Map<String, String> r = new LinkedHashMap<>();
r.put("person_id", personId);
r.put("last_name", lastName);
r.put("first_name", firstName);
r.put("maiden_name", maidenName);
r.put("notes", notes);
r.put("provisional", provisional);
return r;
}
@SafeVarargs
private Path writePersons(Path dir, Map<String, String>... rows) throws Exception {
Path xlsx = dir.resolve("canonical-persons.xlsx");
List<String> headers = List.of("person_id", "last_name", "first_name", "maiden_name", "notes", "provisional");
try (XSSFWorkbook wb = new XSSFWorkbook()) {
Sheet sheet = wb.createSheet("Sheet1");
Row header = sheet.createRow(0);
for (int i = 0; i < headers.size(); i++) {
header.createCell(i).setCellValue(headers.get(i));
}
for (int r = 0; r < rows.length; r++) {
Row row = sheet.createRow(r + 1);
for (int c = 0; c < headers.size(); c++) {
row.createCell(c).setCellValue(rows[r].getOrDefault(headers.get(c), ""));
}
}
try (OutputStream out = Files.newOutputStream(xlsx)) {
wb.write(out);
}
}
return xlsx;
}
}

View File

@@ -1,163 +0,0 @@
package org.raddatz.familienarchiv.importing;
import org.junit.jupiter.api.Test;
import org.junit.jupiter.api.extension.ExtendWith;
import org.junit.jupiter.api.io.TempDir;
import org.mockito.ArgumentCaptor;
import org.mockito.junit.jupiter.MockitoExtension;
import org.raddatz.familienarchiv.exception.DomainException;
import org.raddatz.familienarchiv.exception.ErrorCode;
import org.raddatz.familienarchiv.person.Person;
import org.raddatz.familienarchiv.person.PersonService;
import org.raddatz.familienarchiv.person.PersonUpsertCommand;
import org.raddatz.familienarchiv.person.relationship.RelationType;
import org.raddatz.familienarchiv.person.relationship.RelationshipService;
import org.raddatz.familienarchiv.person.relationship.dto.CreateRelationshipRequest;
import java.nio.file.Files;
import java.nio.file.Path;
import java.util.UUID;
import static org.assertj.core.api.Assertions.assertThat;
import static org.assertj.core.api.Assertions.assertThatThrownBy;
import static org.mockito.ArgumentMatchers.any;
import static org.mockito.ArgumentMatchers.eq;
import static org.mockito.Mockito.doThrow;
import static org.mockito.Mockito.mock;
import static org.mockito.Mockito.verify;
import static org.mockito.Mockito.when;
@ExtendWith(MockitoExtension.class)
class PersonTreeImporterTest {
@Test
void load_upsertsTreePersonBySourceRef_withFamilyMemberFlag(@TempDir Path tempDir) throws Exception {
PersonService personService = mock(PersonService.class);
RelationshipService relationshipService = mock(RelationshipService.class);
when(personService.upsertBySourceRef(any())).thenAnswer(inv -> personOf(inv.getArgument(0)));
Path json = write(tempDir, """
{"persons":[
{"rowId":"row_002","firstName":"Elsgard","lastName":"Allemeyer","maidenName":"Wöhler",
"notes":"Nichte","birthYear":1920,"deathYear":1999,"familyMember":true,"personId":"allemeyer-elsgard"}
],"relationships":[]}
""");
new PersonTreeImporter(personService, relationshipService)
.load(json.toFile());
ArgumentCaptor<PersonUpsertCommand> captor = ArgumentCaptor.forClass(PersonUpsertCommand.class);
verify(personService).upsertBySourceRef(captor.capture());
PersonUpsertCommand cmd = captor.getValue();
assertThat(cmd.sourceRef()).isEqualTo("allemeyer-elsgard");
assertThat(cmd.familyMember()).isTrue();
assertThat(cmd.provisional()).isFalse();
}
@Test
void load_createsRelationship_resolvingRowIdsToUpsertedPersons(@TempDir Path tempDir) throws Exception {
PersonService personService = mock(PersonService.class);
RelationshipService relationshipService = mock(RelationshipService.class);
UUID idA = UUID.randomUUID();
UUID idB = UUID.randomUUID();
when(personService.upsertBySourceRef(any())).thenAnswer(inv -> {
PersonUpsertCommand c = inv.getArgument(0);
return Person.builder().id(c.sourceRef().equals("a") ? idA : idB)
.sourceRef(c.sourceRef()).lastName(c.lastName()).build();
});
Path json = write(tempDir, """
{"persons":[
{"rowId":"row_a","lastName":"A","familyMember":true,"personId":"a"},
{"rowId":"row_b","lastName":"B","familyMember":true,"personId":"b"}
],"relationships":[
{"personId":"row_a","relatedPersonId":"row_b","type":"SPOUSE_OF","source":"verheiratet_mit"}
]}
""");
new PersonTreeImporter(personService, relationshipService)
.load(json.toFile());
ArgumentCaptor<CreateRelationshipRequest> captor = ArgumentCaptor.forClass(CreateRelationshipRequest.class);
verify(relationshipService).addRelationship(eq(idA), captor.capture());
assertThat(captor.getValue().relatedPersonId()).isEqualTo(idB);
assertThat(captor.getValue().relationType()).isEqualTo(RelationType.SPOUSE_OF);
}
@Test
void load_swallowsDuplicateRelationship_forIdempotentReimport(@TempDir Path tempDir) throws Exception {
PersonService personService = mock(PersonService.class);
RelationshipService relationshipService = mock(RelationshipService.class);
when(personService.upsertBySourceRef(any()))
.thenAnswer(inv -> personOf(inv.getArgument(0)));
doThrow(DomainException.conflict(ErrorCode.DUPLICATE_RELATIONSHIP, "exists"))
.when(relationshipService).addRelationship(any(), any());
Path json = write(tempDir, """
{"persons":[
{"rowId":"row_a","lastName":"A","familyMember":true,"personId":"a"},
{"rowId":"row_b","lastName":"B","familyMember":true,"personId":"b"}
],"relationships":[
{"personId":"row_a","relatedPersonId":"row_b","type":"SPOUSE_OF","source":"verheiratet_mit"}
]}
""");
PersonTreeImporter importer = new PersonTreeImporter(personService, relationshipService);
// Must not propagate the conflict — re-import is idempotent.
importer.load(json.toFile());
verify(relationshipService).addRelationship(any(), any());
}
@Test
void load_propagatesUnexpectedDomainException_fromAddRelationship(@TempDir Path tempDir) throws Exception {
PersonService personService = mock(PersonService.class);
RelationshipService relationshipService = mock(RelationshipService.class);
when(personService.upsertBySourceRef(any()))
.thenAnswer(inv -> personOf(inv.getArgument(0)));
// An unexpected ErrorCode (not DUPLICATE/CIRCULAR) must NOT be swallowed.
doThrow(DomainException.internal(ErrorCode.INTERNAL_ERROR, "boom"))
.when(relationshipService).addRelationship(any(), any());
Path json = write(tempDir, """
{"persons":[
{"rowId":"row_a","lastName":"A","familyMember":true,"personId":"a"},
{"rowId":"row_b","lastName":"B","familyMember":true,"personId":"b"}
],"relationships":[
{"personId":"row_a","relatedPersonId":"row_b","type":"SPOUSE_OF","source":"verheiratet_mit"}
]}
""");
PersonTreeImporter importer = new PersonTreeImporter(personService, relationshipService);
assertThatThrownBy(() -> importer.load(json.toFile()))
.isInstanceOf(DomainException.class)
.extracting("code").isEqualTo(ErrorCode.INTERNAL_ERROR);
}
@Test
void load_skipsRelationship_whenRowIdUnresolved(@TempDir Path tempDir) throws Exception {
PersonService personService = mock(PersonService.class);
RelationshipService relationshipService = mock(RelationshipService.class);
when(personService.upsertBySourceRef(any())).thenAnswer(inv -> personOf(inv.getArgument(0)));
Path json = write(tempDir, """
{"persons":[
{"rowId":"row_a","lastName":"A","familyMember":true,"personId":"a"}
],"relationships":[
{"personId":"row_a","relatedPersonId":"row_ghost","type":"SPOUSE_OF","source":"x"}
]}
""");
new PersonTreeImporter(personService, relationshipService)
.load(json.toFile());
verify(relationshipService, org.mockito.Mockito.never()).addRelationship(any(), any());
}
private static Person personOf(PersonUpsertCommand cmd) {
return Person.builder().id(UUID.randomUUID()).sourceRef(cmd.sourceRef()).lastName(cmd.lastName()).build();
}
private Path write(Path dir, String json) throws Exception {
Path file = dir.resolve("canonical-persons-tree.json");
Files.writeString(file, json);
return file;
}
}

View File

@@ -1,103 +0,0 @@
package org.raddatz.familienarchiv.importing;
import org.apache.poi.ss.usermodel.Row;
import org.apache.poi.ss.usermodel.Sheet;
import org.apache.poi.xssf.usermodel.XSSFWorkbook;
import org.junit.jupiter.api.Test;
import org.junit.jupiter.api.extension.ExtendWith;
import org.junit.jupiter.api.io.TempDir;
import org.mockito.junit.jupiter.MockitoExtension;
import org.raddatz.familienarchiv.tag.Tag;
import org.raddatz.familienarchiv.tag.TagService;
import java.io.OutputStream;
import java.nio.file.Files;
import java.nio.file.Path;
import java.util.List;
import java.util.UUID;
import static org.assertj.core.api.Assertions.assertThat;
import static org.mockito.ArgumentMatchers.any;
import static org.mockito.ArgumentMatchers.eq;
import static org.mockito.ArgumentMatchers.isNull;
import static org.mockito.Mockito.mock;
import static org.mockito.Mockito.verify;
import static org.mockito.Mockito.when;
@ExtendWith(MockitoExtension.class)
class TagTreeImporterTest {
@Test
void load_upsertsRootTagWithNullParent(@TempDir Path tempDir) throws Exception {
TagService tagService = mock(TagService.class);
when(tagService.upsertBySourceRef(any(), any(), any()))
.thenAnswer(inv -> tagOf(inv.getArgument(0), inv.getArgument(1), inv.getArgument(2)));
Path xlsx = writeTagTree(tempDir, List.<String[]>of(
new String[]{"Themen", "", "Themen"}));
new TagTreeImporter(tagService).load(xlsx.toFile());
verify(tagService).upsertBySourceRef("Themen", "Themen", null);
}
@Test
void load_resolvesParentByPath_forChildTag(@TempDir Path tempDir) throws Exception {
TagService tagService = mock(TagService.class);
UUID rootId = UUID.randomUUID();
when(tagService.upsertBySourceRef(eq("Themen"), eq("Themen"), isNull()))
.thenReturn(tagOf("Themen", "Themen", null, rootId));
when(tagService.upsertBySourceRef(eq("Themen/Brautbriefe"), eq("Brautbriefe"), eq(rootId)))
.thenReturn(tagOf("Themen/Brautbriefe", "Brautbriefe", rootId));
Path xlsx = writeTagTree(tempDir, List.<String[]>of(
new String[]{"Themen", "", "Themen"},
new String[]{"Themen/Brautbriefe", "Themen", "Brautbriefe"}));
new TagTreeImporter(tagService).load(xlsx.toFile());
verify(tagService).upsertBySourceRef("Themen/Brautbriefe", "Brautbriefe", rootId);
}
@Test
void load_returnsCountOfProcessedRows(@TempDir Path tempDir) throws Exception {
TagService tagService = mock(TagService.class);
when(tagService.upsertBySourceRef(any(), any(), any()))
.thenAnswer(inv -> tagOf(inv.getArgument(0), inv.getArgument(1), inv.getArgument(2)));
Path xlsx = writeTagTree(tempDir, List.<String[]>of(
new String[]{"Themen", "", "Themen"},
new String[]{"Themen/Brautbriefe", "Themen", "Brautbriefe"}));
int processed = new TagTreeImporter(tagService).load(xlsx.toFile());
assertThat(processed).isEqualTo(2);
}
private static Tag tagOf(String sourceRef, String name, UUID parentId) {
return tagOf(sourceRef, name, parentId, UUID.randomUUID());
}
private static Tag tagOf(String sourceRef, String name, UUID parentId, UUID id) {
return Tag.builder().id(id).sourceRef(sourceRef).name(name).parentId(parentId).build();
}
private Path writeTagTree(Path dir, List<String[]> rows) throws Exception {
Path xlsx = dir.resolve("canonical-tag-tree.xlsx");
try (XSSFWorkbook wb = new XSSFWorkbook()) {
Sheet sheet = wb.createSheet("Sheet1");
Row header = sheet.createRow(0);
header.createCell(0).setCellValue("tag_path");
header.createCell(1).setCellValue("parent_name");
header.createCell(2).setCellValue("tag_name");
for (int r = 0; r < rows.size(); r++) {
Row row = sheet.createRow(r + 1);
String[] values = rows.get(r);
for (int c = 0; c < values.length; c++) {
row.createCell(c).setCellValue(values[c]);
}
}
try (OutputStream out = Files.newOutputStream(xlsx)) {
wb.write(out);
}
}
return xlsx;
}
}

View File

@@ -117,7 +117,6 @@ class PersonControllerTest {
public Integer getDeathYear() { return null; }
public String getNotes() { return null; }
public boolean isFamilyMember() { return false; }
public boolean isProvisional() { return false; }
public long getDocumentCount() { return 0; }
};
}

View File

@@ -1,151 +0,0 @@
package org.raddatz.familienarchiv.person;
import org.junit.jupiter.api.Test;
import org.junit.jupiter.api.extension.ExtendWith;
import org.mockito.InjectMocks;
import org.mockito.Mock;
import org.mockito.junit.jupiter.MockitoExtension;
import java.util.Optional;
import java.util.UUID;
import static org.assertj.core.api.Assertions.assertThat;
import static org.mockito.ArgumentMatchers.any;
import static org.mockito.ArgumentMatchers.argThat;
import static org.mockito.Mockito.never;
import static org.mockito.Mockito.verify;
import static org.mockito.Mockito.when;
@ExtendWith(MockitoExtension.class)
class PersonImportUpsertTest {
@Mock PersonRepository personRepository;
@Mock PersonNameAliasRepository aliasRepository;
@InjectMocks PersonService personService;
@Test
void upsertBySourceRef_insertsNewPerson_whenSourceRefUnknown() {
when(personRepository.findBySourceRef("clara-cram")).thenReturn(Optional.empty());
when(personRepository.save(any())).thenAnswer(inv -> inv.getArgument(0));
PersonUpsertCommand cmd = PersonUpsertCommand.builder()
.sourceRef("clara-cram").firstName("Clara").lastName("Cram")
.personType(PersonType.PERSON).provisional(false).build();
Person result = personService.upsertBySourceRef(cmd);
assertThat(result.getSourceRef()).isEqualTo("clara-cram");
assertThat(result.getFirstName()).isEqualTo("Clara");
assertThat(result.getLastName()).isEqualTo("Cram");
assertThat(result.isProvisional()).isFalse();
}
@Test
void upsertBySourceRef_updatesInPlace_whenSourceRefExists() {
Person existing = Person.builder()
.id(UUID.randomUUID()).sourceRef("clara-cram")
.firstName("Clara").lastName("Cram").build();
when(personRepository.findBySourceRef("clara-cram")).thenReturn(Optional.of(existing));
when(personRepository.save(any())).thenAnswer(inv -> inv.getArgument(0));
PersonUpsertCommand cmd = PersonUpsertCommand.builder()
.sourceRef("clara-cram").firstName("Clara").lastName("Cram")
.notes("Updated note").personType(PersonType.PERSON).provisional(false).build();
personService.upsertBySourceRef(cmd);
verify(personRepository).save(argThat(p -> p.getId().equals(existing.getId())));
verify(personRepository, never()).save(argThat(p -> p.getId() == null));
}
@Test
void upsertBySourceRef_preservesHumanEditedNonBlankFields() {
// A human renamed the maiden-name register person and added notes in-app.
Person humanEdited = Person.builder()
.id(UUID.randomUUID()).sourceRef("clara-cram")
.firstName("Klara").lastName("Cram-Müller").notes("Verified by Marcel").build();
when(personRepository.findBySourceRef("clara-cram")).thenReturn(Optional.of(humanEdited));
when(personRepository.save(any())).thenAnswer(inv -> inv.getArgument(0));
PersonUpsertCommand cmd = PersonUpsertCommand.builder()
.sourceRef("clara-cram").firstName("Clara").lastName("Cram")
.notes("Auto note").personType(PersonType.PERSON).provisional(false).build();
Person result = personService.upsertBySourceRef(cmd);
// Human edits survive the re-import.
assertThat(result.getFirstName()).isEqualTo("Klara");
assertThat(result.getLastName()).isEqualTo("Cram-Müller");
assertThat(result.getNotes()).isEqualTo("Verified by Marcel");
}
@Test
void upsertBySourceRef_fillsOnlyBlankFields_onReimport() {
Person existing = Person.builder()
.id(UUID.randomUUID()).sourceRef("clara-cram")
.firstName("Clara").lastName("Cram").notes(null).build();
when(personRepository.findBySourceRef("clara-cram")).thenReturn(Optional.of(existing));
when(personRepository.save(any())).thenAnswer(inv -> inv.getArgument(0));
PersonUpsertCommand cmd = PersonUpsertCommand.builder()
.sourceRef("clara-cram").firstName("Clara").lastName("Cram")
.notes("Nichte von Herbert").personType(PersonType.PERSON).provisional(false).build();
Person result = personService.upsertBySourceRef(cmd);
// Blank field gets filled by canonical value.
assertThat(result.getNotes()).isEqualTo("Nichte von Herbert");
}
@Test
void upsertBySourceRef_fillsBlankYears_butPreservesHumanEditedYears_onReimport() {
// Existing has a human-set birthYear and a blank deathYear.
Person existing = Person.builder()
.id(UUID.randomUUID()).sourceRef("clara-cram")
.lastName("Cram").birthYear(1890).deathYear(null).build();
when(personRepository.findBySourceRef("clara-cram")).thenReturn(Optional.of(existing));
when(personRepository.save(any())).thenAnswer(inv -> inv.getArgument(0));
PersonUpsertCommand cmd = PersonUpsertCommand.builder()
.sourceRef("clara-cram").lastName("Cram")
.birthYear(1888).deathYear(1965)
.personType(PersonType.PERSON).provisional(false).build();
Person result = personService.upsertBySourceRef(cmd);
assertThat(result.getBirthYear()).isEqualTo(1890); // human value kept
assertThat(result.getDeathYear()).isEqualTo(1965); // blank filled from canonical
}
@Test
void upsertBySourceRef_neverFlipsProvisionalBackToTrue_onceHumanConfirmed() {
// A human confirmed this provisional importer-created person (provisional -> false).
Person confirmed = Person.builder()
.id(UUID.randomUUID()).sourceRef("schwester-hanni")
.firstName(null).lastName("Schwester Hanni").provisional(false).build();
when(personRepository.findBySourceRef("schwester-hanni")).thenReturn(Optional.of(confirmed));
when(personRepository.save(any())).thenAnswer(inv -> inv.getArgument(0));
PersonUpsertCommand cmd = PersonUpsertCommand.builder()
.sourceRef("schwester-hanni").lastName("Schwester Hanni")
.personType(PersonType.PERSON).provisional(true).build();
Person result = personService.upsertBySourceRef(cmd);
assertThat(result.isProvisional()).isFalse();
}
@Test
void upsertBySourceRef_setsProvisionalTrue_forNewProvisionalPerson() {
when(personRepository.findBySourceRef("noise-geschirr")).thenReturn(Optional.empty());
when(personRepository.save(any())).thenAnswer(inv -> inv.getArgument(0));
PersonUpsertCommand cmd = PersonUpsertCommand.builder()
.sourceRef("noise-geschirr").lastName("Tante Tüten")
.personType(PersonType.PERSON).provisional(true).build();
Person result = personService.upsertBySourceRef(cmd);
assertThat(result.isProvisional()).isTrue();
}
}

View File

@@ -463,46 +463,4 @@ class PersonRepositoryTest {
assertThat(result).hasSize(1);
assertThat(result.get(0).getLastName()).isEqualTo("Gesellschafter des Verlages");
}
// ─── #671: provisional must be SELECTed in all three native projections ───
// Adding isProvisional() to the interface compiles even if a native query forgets
// to SELECT p.provisional — it then silently returns false. These tests are the only
// guard against that trap, so they must run against real Postgres.
@Test
void findAllWithDocumentCount_projectsProvisionalTrue() {
personRepository.save(Person.builder()
.firstName("Inferred").lastName("Person").provisional(true).build());
List<PersonSummaryDTO> result = personRepository.findAllWithDocumentCount();
assertThat(result).anyMatch(PersonSummaryDTO::isProvisional);
}
@Test
void searchWithDocumentCount_projectsProvisionalTrue() {
personRepository.save(Person.builder()
.firstName("Provisorisch").lastName("Müller").provisional(true).build());
List<PersonSummaryDTO> result = personRepository.searchWithDocumentCount("Provisorisch");
assertThat(result).hasSize(1);
assertThat(result.get(0).isProvisional()).isTrue();
}
@Test
void findTopByDocumentCount_projectsProvisionalTrue() {
Person provisional = personRepository.save(Person.builder()
.firstName("Top").lastName("Provisional").provisional(true).build());
documentRepository.save(Document.builder()
.title("Brief").originalFilename("b.pdf")
.status(DocumentStatus.UPLOADED)
.sender(provisional).build());
List<PersonSummaryDTO> result = personRepository.findTopByDocumentCount(10);
PersonSummaryDTO summary = result.stream()
.filter(p -> p.getId().equals(provisional.getId())).findFirst().orElseThrow();
assertThat(summary.isProvisional()).isTrue();
}
}

View File

@@ -1,62 +0,0 @@
package org.raddatz.familienarchiv.tag;
import org.junit.jupiter.api.Test;
import org.junit.jupiter.api.extension.ExtendWith;
import org.mockito.InjectMocks;
import org.mockito.Mock;
import org.mockito.junit.jupiter.MockitoExtension;
import java.util.Optional;
import java.util.UUID;
import static org.assertj.core.api.Assertions.assertThat;
import static org.mockito.ArgumentMatchers.any;
import static org.mockito.ArgumentMatchers.argThat;
import static org.mockito.Mockito.never;
import static org.mockito.Mockito.verify;
import static org.mockito.Mockito.when;
@ExtendWith(MockitoExtension.class)
class TagImportUpsertTest {
@Mock TagRepository tagRepository;
@InjectMocks TagService tagService;
@Test
void upsertBySourceRef_insertsNewTag_whenSourceRefUnknown() {
when(tagRepository.findBySourceRef("Themen/Brautbriefe")).thenReturn(Optional.empty());
when(tagRepository.save(any())).thenAnswer(inv -> inv.getArgument(0));
UUID parentId = UUID.randomUUID();
Tag result = tagService.upsertBySourceRef("Themen/Brautbriefe", "Brautbriefe", parentId);
assertThat(result.getSourceRef()).isEqualTo("Themen/Brautbriefe");
assertThat(result.getName()).isEqualTo("Brautbriefe");
assertThat(result.getParentId()).isEqualTo(parentId);
}
@Test
void upsertBySourceRef_updatesInPlace_whenSourceRefExists() {
Tag existing = Tag.builder().id(UUID.randomUUID()).name("Brautbriefe")
.sourceRef("Themen/Brautbriefe").build();
when(tagRepository.findBySourceRef("Themen/Brautbriefe")).thenReturn(Optional.of(existing));
when(tagRepository.save(any())).thenAnswer(inv -> inv.getArgument(0));
tagService.upsertBySourceRef("Themen/Brautbriefe", "Brautbriefe", null);
verify(tagRepository).save(argThat(t -> t.getId().equals(existing.getId())));
verify(tagRepository, never()).save(argThat(t -> t.getId() == null));
}
@Test
void upsertBySourceRef_preservesHumanRenamedTag_onReimport() {
Tag humanRenamed = Tag.builder().id(UUID.randomUUID()).name("Verlobungsbriefe")
.sourceRef("Themen/Brautbriefe").build();
when(tagRepository.findBySourceRef("Themen/Brautbriefe")).thenReturn(Optional.of(humanRenamed));
when(tagRepository.save(any())).thenAnswer(inv -> inv.getArgument(0));
Tag result = tagService.upsertBySourceRef("Themen/Brautbriefe", "Brautbriefe", null);
assertThat(result.getName()).isEqualTo("Verlobungsbriefe");
}
}

View File

@@ -7,8 +7,7 @@ import org.raddatz.familienarchiv.security.PermissionAspect;
import org.raddatz.familienarchiv.user.CustomUserDetailsService;
import org.raddatz.familienarchiv.document.DocumentService;
import org.raddatz.familienarchiv.document.DocumentVersionService;
import org.raddatz.familienarchiv.importing.CanonicalImportOrchestrator;
import org.raddatz.familienarchiv.importing.ImportStatus;
import org.raddatz.familienarchiv.importing.MassImportService;
import org.raddatz.familienarchiv.document.ThumbnailBackfillService;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.boot.autoconfigure.aop.AopAutoConfiguration;
@@ -36,7 +35,7 @@ class AdminControllerTest {
@Autowired MockMvc mockMvc;
@MockitoBean CanonicalImportOrchestrator importOrchestrator;
@MockitoBean MassImportService massImportService;
@MockitoBean DocumentService documentService;
@MockitoBean DocumentVersionService documentVersionService;
@MockitoBean ThumbnailBackfillService thumbnailBackfillService;
@@ -47,9 +46,9 @@ class AdminControllerTest {
@Test
@WithMockUser(authorities = "ADMIN")
void importStatus_returns200_withStatusCode_whenAdmin() throws Exception {
ImportStatus status = new ImportStatus(
ImportStatus.State.IDLE, "IMPORT_IDLE", "Kein Import gestartet.", 0, List.of(), null);
when(importOrchestrator.getStatus()).thenReturn(status);
MassImportService.ImportStatus status = new MassImportService.ImportStatus(
MassImportService.State.IDLE, "IMPORT_IDLE", "Kein Import gestartet.", 0, List.of(), null);
when(massImportService.getStatus()).thenReturn(status);
mockMvc.perform(get("/api/admin/import-status"))
.andExpect(status().isOk())
@@ -61,9 +60,9 @@ class AdminControllerTest {
@Test
@WithMockUser(authorities = "ADMIN")
void importStatus_messageField_notPresentInApiResponse() throws Exception {
ImportStatus status = new ImportStatus(
ImportStatus.State.IDLE, "IMPORT_IDLE", "Kein Import gestartet.", 0, List.of(), null);
when(importOrchestrator.getStatus()).thenReturn(status);
MassImportService.ImportStatus status = new MassImportService.ImportStatus(
MassImportService.State.IDLE, "IMPORT_IDLE", "Kein Import gestartet.", 0, List.of(), null);
when(massImportService.getStatus()).thenReturn(status);
mockMvc.perform(get("/api/admin/import-status"))
.andExpect(status().isOk())

View File

@@ -1,8 +1,2 @@
logging.level.root=WARN
logging.level.org.raddatz=INFO
# Default test value so FlywayConfig's fail-closed check passes without each
# test having to set GRAFANA_DB_PASSWORD explicitly. The actual value is
# irrelevant in tests — Flyway only uses it to set the grafana_reader role's
# password, which no test connects with.
GRAFANA_DB_PASSWORD=test-grafana-reader-password

View File

@@ -147,9 +147,6 @@ services:
GF_SECURITY_ADMIN_PASSWORD: ${GRAFANA_ADMIN_PASSWORD:-changeme}
GF_USERS_ALLOW_SIGN_UP: "false"
GF_SERVER_ROOT_URL: ${GF_SERVER_ROOT_URL:-http://localhost:3003}
# Read-only password for the grafana_reader PostgreSQL role; interpolated
# into the provisioned PostgreSQL datasource (see datasources.yml).
GRAFANA_DB_PASSWORD: ${GRAFANA_DB_PASSWORD}
volumes:
- grafana_data:/var/lib/grafana
- ./infra/observability/grafana/provisioning:/etc/grafana/provisioning:ro
@@ -168,7 +165,6 @@ services:
condition: service_healthy
networks:
- obs-net
- archiv-net # PO Overview dashboard queries archive-db via the grafana_reader role
# --- Error Tracking: GlitchTip ---

View File

@@ -227,9 +227,6 @@ services:
SPRING_DATASOURCE_URL: jdbc:postgresql://db:5432/archiv
SPRING_DATASOURCE_USERNAME: archiv
SPRING_DATASOURCE_PASSWORD: ${POSTGRES_PASSWORD}
# Consumed by Flyway V68 via the ${grafanaDbPassword} placeholder to set
# the read-only grafana_reader role's password.
GRAFANA_DB_PASSWORD: ${GRAFANA_DB_PASSWORD}
# Application uses the bucket-scoped service account, not MinIO root.
S3_ENDPOINT: http://minio:9000
S3_ACCESS_KEY: archiv-app
@@ -255,8 +252,6 @@ services:
OTEL_METRICS_EXPORTER: none
MANAGEMENT_METRICS_TAGS_APPLICATION: Familienarchiv
MANAGEMENT_TRACING_SAMPLING_PROBABILITY: ${MANAGEMENT_TRACING_SAMPLING_PROBABILITY:-0.1}
SENTRY_DSN: ${SENTRY_DSN:-}
LOGGING_STRUCTURED_FORMAT_CONSOLE: ecs
networks:
- archiv-net
healthcheck:
@@ -271,10 +266,6 @@ services:
build:
context: ./frontend
target: production
args:
# Vite build-time variable — baked into the JS bundle at build time.
# Empty default so deploys succeed before the secret is configured.
VITE_SENTRY_DSN: ${VITE_SENTRY_DSN:-}
restart: unless-stopped
depends_on:
backend:

View File

@@ -163,9 +163,6 @@ services:
SPRING_DATASOURCE_URL: jdbc:postgresql://db:5432/${POSTGRES_DB}
SPRING_DATASOURCE_USERNAME: ${POSTGRES_USER}
SPRING_DATASOURCE_PASSWORD: ${POSTGRES_PASSWORD}
# Consumed by Flyway V68 via the ${grafanaDbPassword} placeholder to set
# the read-only grafana_reader role's password.
GRAFANA_DB_PASSWORD: ${GRAFANA_DB_PASSWORD}
S3_ENDPOINT: http://minio:9000
S3_ACCESS_KEY: ${MINIO_ROOT_USER}
S3_SECRET_KEY: ${MINIO_ROOT_PASSWORD}

View File

@@ -152,7 +152,6 @@ All vars are set in `.env` at the repo root (copy from `.env.example`). The back
| `PORT_GRAFANA` | Host port for the Grafana UI (bound to `127.0.0.1` only) | `3003` | — | — |
| `POSTGRES_HOST` | PostgreSQL hostname for GlitchTip's db-init job and workers. Override when only the staging stack is running and `archive-db` is not resolvable by that name. | `archive-db` | — | — |
| `GRAFANA_ADMIN_PASSWORD` | Grafana `admin` user password | `changeme` | YES (prod) | YES |
| `GRAFANA_DB_PASSWORD` | Password for the read-only `grafana_reader` PostgreSQL role used by the PO Overview dashboard (issue #651). Consumed by Flyway V68 and the Grafana PostgreSQL datasource. Generate with `openssl rand -hex 32`. | — | YES (prod) | YES |
| `PORT_GLITCHTIP` | Host port for the GlitchTip UI (bound to `127.0.0.1` only) | `3002` | — | — |
| `GLITCHTIP_DOMAIN` | Public-facing base URL for GlitchTip (used in email links and CORS) | `http://localhost:3002` | YES (prod) | — |
| `GLITCHTIP_SECRET_KEY` | Django secret key for GlitchTip — generate with `python3 -c "import secrets; print(secrets.token_hex(32))"` | — | YES | YES |
@@ -257,7 +256,6 @@ git.raddatz.cloud A <server IP>
| `MAIL_USERNAME` | release.yml | SMTP user |
| `MAIL_PASSWORD` | release.yml | SMTP password |
| `GRAFANA_ADMIN_PASSWORD` | both | Grafana `admin` login — generate a strong password |
| `GRAFANA_DB_PASSWORD` | both | Read-only `grafana_reader` role password — `openssl rand -hex 32` |
| `GLITCHTIP_SECRET_KEY` | both | Django secret key — `openssl rand -hex 32` |
| `SENTRY_DSN` | both | GlitchTip project DSN — set after first-run (§4); leave empty to keep Sentry disabled |
| `VITE_SENTRY_DSN` | both | GlitchTip frontend project DSN — set after first-run (§4); leave empty to keep Sentry disabled |
@@ -359,7 +357,6 @@ Both files are passed explicitly via `--env-file` to the compose command, so the
| Gitea secret | Notes |
|---|---|
| `GRAFANA_ADMIN_PASSWORD` | Strong unique password; shared by nightly and release |
| `GRAFANA_DB_PASSWORD` | `openssl rand -hex 32`; shared by nightly and release — read-only DB role for the PO Overview dashboard |
| `GLITCHTIP_SECRET_KEY` | `openssl rand -hex 32`; shared by nightly and release |
| `STAGING_POSTGRES_PASSWORD` / `PROD_POSTGRES_PASSWORD` | Must match the running PostgreSQL container |
@@ -430,31 +427,6 @@ docker exec obs-loki wget -qO- \
Prometheus port `9090` and Grafana port `3003` (default; configurable via `PORT_GRAFANA`) are bound to `127.0.0.1` on the host. No other observability ports are host-bound.
##### Rotate the `grafana_reader` DB password
The PO Overview dashboard reads `audit_log`, `documents`, and `transcription_blocks` through the SELECT-only `grafana_reader` PostgreSQL role (issue #651, ADR-024). The role's password is owned by `R__grafana_reader_password.sql` — a Flyway *repeatable* migration that re-runs whenever the resolved `${grafanaDbPassword}` placeholder changes. That makes rotation a two-restart operation, no manual `psql` required.
```bash
# 1. Generate a new value
openssl rand -hex 32
# 2. Update both sides:
# - Gitea secret GRAFANA_DB_PASSWORD (nightly + release workflows pick it up)
# - Local .env on the server / dev machine
# 3. Restart the backend. Flyway sees that R__'s resolved checksum changed and
# re-applies it, issuing ALTER ROLE grafana_reader WITH PASSWORD '<new>'.
docker compose restart backend
# 4. Restart obs-grafana so the provisioned datasource picks up the new env value.
docker compose -f docker-compose.observability.yml restart obs-grafana
# 5. Verify the dashboard loads — PO Overview's Postgres panels should populate
# instead of "Data source error".
```
If `GRAFANA_DB_PASSWORD` is unset, the backend **refuses to start** (`IllegalStateException`). That is deliberate — see `FlywayConfig.resolveGrafanaDbPassword()` and the rationale in ADR-024.
#### GlitchTip
| Item | Value |
@@ -559,40 +531,20 @@ bash scripts/download-kraken-models.sh
> Downloads the Kurrent/Sütterlin HTR models. Run once after a fresh clone or when models are updated.
### Trigger a canonical import
### Trigger a mass import (Excel/ODS)
The importer no longer parses the raw spreadsheet. It consumes the **canonical artifacts**
produced by the normalizer (`tools/import-normalizer/`) — `canonical-tag-tree.xlsx`,
`canonical-persons.xlsx`, `canonical-persons-tree.json`, `canonical-documents.xlsx` — which
are committed under `tools/import-normalizer/out/`. The semantic transformation
(German-date parsing, name classification) lives entirely in the normalizer; the backend
maps the clean columns by header name. See [ADR-025](adr/025-canonical-import-and-single-migration-schema-foundation.md).
**Prerequisite — regenerate the artifacts when the source data changes:**
```bash
cd tools/import-normalizer
python3 -m venv .venv && .venv/bin/pip install -r requirements.txt # once, on a fresh clone
.venv/bin/python normalize.py
# writes the four canonical artifacts into ./out/
```
**Dev:** place all four canonical artifacts **plus** the referenced PDFs into `./import/`
at the repo root (the dev compose bind-mounts it to `/import`, which is `app.import.dir`).
The orchestrator smoke-checks that all four artifacts are present before starting and fails
closed (`IMPORT_ARTIFACT_INVALID`) if any is missing.
**Dev:** drop the ODS spreadsheet + PDFs into `./import/` at the repo root — the dev compose bind-mounts it to `/import` automatically.
**Staging/production:**
1. Pre-stage the four canonical artifacts + PDFs on the host. Convention:
`/srv/familienarchiv-staging/import/` or `/srv/familienarchiv-production/import/`.
1. Pre-stage the payload on the host. Convention: `/srv/familienarchiv-staging/import/` or `/srv/familienarchiv-production/import/`.
```bash
rsync -avh --progress ./import/ user@host:/srv/familienarchiv-staging/import/
```
2. Make sure `IMPORT_HOST_DIR=<host-path>` is set in `.env.staging` / `.env.production` (the nightly/release workflows already write this — see §3). Compose refuses to start without it.
3. Redeploy the stack so the bind mount picks up — or, if the mount is already in place, skip to step 4.
4. Call `POST /api/admin/trigger-import` (requires `ADMIN` permission), or click the "Import starten" button on `/admin/system`.
5. The import runs asynchronously — poll `GET /api/admin/import-status`, watch `/admin/system`, or tail the backend logs. Re-running is safe: the import is idempotent (upsert by `source_ref` / document `index`) and never overwrites a human-edited field.
5. The import runs asynchronously — poll `GET /api/admin/import-status`, watch `/admin/system`, or tail the backend logs.
---

View File

@@ -25,11 +25,6 @@ _Not to be confused with [AppUser](#appuser-appuser)_ — `Person` is a historic
**UserGroup** (`UserGroup`) — a named permission bundle assigned to one or more `AppUser`s. A user's effective permissions are the union of all permissions across all groups they belong to.
**source_ref** (`Person.sourceRef`, `Tag.sourceRef`) — the import normalizer's stable identity for a `Person` (its `person_id`) or `Tag` (its canonical `tag_path`). It is the join key linking normalized records to documents and the idempotency key for re-import; null for manually created records and unique among non-null values.
**provisional person** (`Person.provisional`) — a `Person` the importer inferred from raw attribution text but could not confidently match to a known individual. The flag lets the persons directory surface uncertainty honestly rather than fabricate a confident identity; it defaults to `false` and is set `true` only by the importer.
_Not to be confused with `family_member`_ — `provisional` expresses import confidence, while `family_member` is a genealogical fact about whether the person belongs to the family tree.
---
## Document-Related Terms
@@ -41,10 +36,6 @@ _See also [TranscriptionBlock](#transcriptionblock-transcriptionblock)._
**Document** (`Document`) — a single archival item (letter, postcard, photograph) with a file stored in MinIO/S3 and associated metadata (sender, receivers, date, tags, transcription blocks).
**date precision** (`Document.metaDatePrecision`, enum `DatePrecision`) — how exactly a document's date is known, one of `DAY, MONTH, SEASON, YEAR, RANGE, APPROX, UNKNOWN`. A verbatim mirror of the import normalizer's `Precision` enum so honest dates can be rendered (`APPROX` → "ca.", `RANGE` uses `meta_date_end`) instead of fabricating a false `DAY`-level date. `UNKNOWN` is the explicit value for undated documents.
**raw attribution** (`Document.senderText`, `Document.receiverText`, `Document.metaDateRaw`) — the original spreadsheet cell text for a document's sender, receiver, and date, preserved verbatim even after a `Person` or normalized date is linked. It keeps provenance intact and enables an "as written in the original" view.
**DocumentVersion** (`DocumentVersion`) — an append-only snapshot of a `Document`'s metadata at a point in time. Append-only by convention; no consumer-facing create or update endpoint exists. The entity uses Lombok `@Data` (which generates setters), so immutability is enforced by application convention, not at the Java level.
**Tag** (`Tag`) — a hierarchical category that can be applied to `Document`s. Tags are self-referencing via a `parent_id` foreign key, forming a tree structure.
@@ -64,13 +55,9 @@ _See also [Annotation](#annotation-documentannotation)._
- `REVIEWED`: a reviewer has approved the transcription.
- `ARCHIVED`: the document is finalized and read-only.
**Canonical import** — an asynchronous batch process (`CanonicalImportOrchestrator`) that consumes the normalizer's committed canonical artifacts and creates `Tag`s, `Person`s (register + tree), family relationships, and `Document`s. Four idempotent loaders run in a fixed dependency order — `TagTreeImporter``PersonRegisterImporter``PersonTreeImporter``DocumentImporter` — each calling the owning domain's service. Re-running it never duplicates rows (upsert by `source_ref` / document `index`) and never overwrites a human-edited field. Only one import can run at a time (`IMPORT_ALREADY_RUNNING` error if attempted concurrently); a missing or malformed artifact fails closed (`IMPORT_ARTIFACT_INVALID`). Replaced the legacy raw-spreadsheet `MassImportService` (see ADR-025).
**Mass import** — an asynchronous batch process (`MassImportService`) that reads an Excel or ODS file and creates `Person`s, `Tag`s, and `PLACEHOLDER` `Document`s in one shot. Only one import can run at a time (`IMPORT_ALREADY_RUNNING` error if attempted concurrently).
**canonical artifact** — one of the four files the normalizer (`tools/import-normalizer/`) emits and commits to `tools/import-normalizer/out/`: `canonical-tag-tree.xlsx`, `canonical-persons.xlsx`, `canonical-persons-tree.json`, `canonical-documents.xlsx`. They are the contract the backend importer reads (mapped by header name); the semantic transformation (German-date parsing, name classification) lives only in the normalizer, never in Java.
**CanonicalSheetReader** — the value-level POI helper that opens a canonical `.xlsx`, maps the header row to column indices by name (replacing the brittle positional column config), splits pipe-delimited list columns, and throws `IMPORT_ARTIFACT_INVALID` on a missing required header rather than NPE-ing on a null index.
**SkippedFile** (`ImportStatus.SkippedFile`) — a file that was presented for import but not processed, recorded with a `filename` and a `reason` code. Possible reasons: `INVALID_FILENAME_PATH_TRAVERSAL` (the file-column basename failed the path-traversal guard), `INVALID_PDF_SIGNATURE` (magic-byte validation failed), `S3_UPLOAD_FAILED` (file upload to MinIO/S3 threw an exception), `FILE_READ_ERROR` (the file could not be opened for reading), or `ALREADY_EXISTS` (a document with the same `index` already exists in the archive with a status other than `PLACEHOLDER`).
**SkippedFile** (`MassImportService.SkippedFile`) — a file that was presented for import but not processed, recorded with a `filename` and a `reason` code. Possible reasons: `INVALID_PDF_SIGNATURE` (magic-byte validation failed), `S3_UPLOAD_FAILED` (file upload to MinIO/S3 threw an exception), `FILE_READ_ERROR` (the file could not be opened for reading), or `ALREADY_EXISTS` (a document with the same filename already exists in the archive with a status other than `PLACEHOLDER`).
**skipped count** — the total number of `SkippedFile` entries accumulated during a single import run (`ImportStatus.skipped()`). Shown in the amber warning section of the Import Status Card in the admin UI; a value of zero suppresses the section entirely.
@@ -93,14 +80,6 @@ _See also [DocumentStatus lifecycle](#documentstatus-lifecycle)._
**Sütterlin** — A specific standardized style of Kurrent taught in German schools from 1915 to 1941.
**Illegible word** — a word whose recognition confidence falls below the configured threshold; replaced with the literal token `[unleserlich]` in the rendered block text and counted in the `ocr_illegible_words_total` Prometheus counter.
**Models-ready gauge** — the `ocr_models_ready` Prometheus gauge, flipped from `0` to `1` once the FastAPI lifespan startup has finished loading the Kraken model and the spell-checker. Used both for the `/health` endpoint and as the supervised signal for the `ocr_models_ready < 1 for 2m` alert.
**Recognition model accuracy** — the accuracy reported by `ketos train` for the recognition (text-line) model, exposed as `ocr_model_accuracy{kind="recognition"}`. Sourced from `_parse_best_checkpoint` on the highest-scoring checkpoint after training.
**Segmentation model accuracy** — the accuracy reported by `ketos segtrain` for the baseline layout analysis (`blla`) model, exposed as `ocr_model_accuracy{kind="segmentation"}`. Distinct from recognition accuracy because the two models are trained and improved independently.
---
## Other Domain Terms

View File

@@ -118,14 +118,11 @@ To find a trace for a specific request in staging/production, either increase th
## Metrics (Prometheus → Grafana)
Prometheus scrapes two targets every 15 s:
Prometheus scrapes the backend management endpoint every 15 s:
```
Target: backend:8081/actuator/prometheus
Labels: job="spring-boot", application="Familienarchiv"
Target: ocr:8000/metrics
Labels: job="ocr-service"
```
All Spring Boot metrics carry the `application="Familienarchiv"` tag, which is how the Grafana Spring Boot Observability dashboard (ID 17175) filters to this service.
@@ -149,70 +146,6 @@ jvm_memory_used_bytes{area="heap", application="Familienarchiv"}
hikaricp_connections_active
```
### OCR-service custom metrics
Exposed at `ocr:8000/metrics` by `prometheus-fastapi-instrumentator`. The
`http_*` metrics describe the FastAPI request layer; the `ocr_*` series are
domain-specific. **Never label these with PII or document content** — labels
have unbounded cardinality risk and are visible to anyone with Grafana access.
| Metric | Type | Labels | Unit | What it tracks |
|---|---|---|---|---|
| `ocr_jobs_total` | Counter | `engine` (`surya`/`kraken`), `script_type` | jobs | OCR jobs that started after a successful PDF download |
| `ocr_pages_total` | Counter | `engine` | pages | Successfully OCR'd pages in the streaming generator |
| `ocr_skipped_pages_total` | Counter | — | pages | Pages skipped because the engine raised on them |
| `ocr_words_total` | Counter | — | words | Recognized words summed across every block |
| `ocr_illegible_words_total` | Counter | — | words | Words below the confidence threshold (rendered as `[unleserlich]`) |
| `ocr_processing_seconds` | Histogram | `engine` | seconds | Per-page (stream) or per-document (`/ocr`) engine time, excluding preprocessing |
| `ocr_training_runs_total` | Counter | `kind` (`recognition`/`segmentation`), `outcome` (`success`/`error`) | runs | Completed training runs |
| `ocr_model_accuracy` | Gauge | `kind` | ratio (01) | Latest accuracy reported by a successful training run |
| `ocr_models_ready` | Gauge | — | 0\|1 | 1 once the lifespan startup has finished loading models |
Canonical example queries (the same ones referenced in issue #652):
```promql
# OCR throughput by engine
sum by (engine) (rate(ocr_pages_total[5m]))
# Share of words rendered as [unleserlich]
sum(rate(ocr_illegible_words_total[5m]))
/ sum(rate(ocr_words_total[5m]))
# p95 page processing time per engine
histogram_quantile(0.95, sum by (engine, le) (
rate(ocr_processing_seconds_bucket[5m])
))
# Training error rate
sum(rate(ocr_training_runs_total{outcome="error"}[1h]))
/ sum(rate(ocr_training_runs_total[1h]))
# Latest recognition vs segmentation accuracy
ocr_model_accuracy
```
### Internal-only endpoints
`/metrics` is exposed by the OCR service over plain HTTP without
authentication. The container is reachable only on the internal Docker
network — Caddy never proxies to it directly. If the service is ever
exposed (e.g. a `ports:` mapping is added), block the endpoint at the
reverse proxy:
```caddy
ocr.example.com {
@internal_only path /metrics /health
respond @internal_only 404
reverse_proxy ocr:8000
}
```
The `MetricsPathFilter` in `ocr-service/main.py` suppresses uvicorn's
**stdout** access log lines for `/metrics` and `/health` so the container
console stays focused on real OCR traffic. Promtail/Loki still receive
access lines from any other source. Treat the filter as console
noise-control, not an audit-suppression mechanism.
## Errors (GlitchTip)
GlitchTip receives errors from both the backend (via Sentry Java SDK) and the frontend (via Sentry JavaScript SDK). It groups events by fingerprint, tracks first/last seen times, and links to the release that introduced the error.

View File

@@ -1,94 +0,0 @@
# ADR-023: Prometheus Instrumentator and Metrics Registry Injection
## Status
Accepted
## Context
Until issue #652 the OCR service exposed no `/metrics` endpoint. The
observability stack already scrapes the Spring Boot backend's actuator
endpoint, but it had nothing to scrape on the Python side. Without HTTP-
and domain-level metrics from `ocr-service` we cannot answer questions
like "what is the share of words rendered as `[unleserlich]`" or
"is the training error rate above its budget" from Grafana.
Two implementation requirements influenced the design:
1. **Counter / gauge isolation in tests.** `prometheus_client` collectors
are module-level singletons keyed by name on the global `REGISTRY`.
Re-importing or naively re-instantiating them raises a duplicated-
collector error and cross-test state leaks (a `.inc()` in test A is
still readable by test B). A test harness needs a way to swap the
active container for a fresh per-test instance.
2. **Minimal blast radius on the request path.** We did not want to
hand-instrument every endpoint with FastAPI middleware. The
`prometheus-fastapi-instrumentator` library already provides
`http_requests_total`, `http_request_duration_seconds`, and the
`/metrics` exposition route, all idiomatic Prometheus names.
## Decision
- Add `prometheus-fastapi-instrumentator==7.0.0` and pin its transitive
dependency `prometheus-client==0.25.0` explicitly in
`ocr-service/requirements.txt`.
- Mount the instrumentator once at module load:
`Instrumentator(excluded_handlers=["/health", "/metrics"]).instrument(app).expose(app)`.
This adds `/metrics` and an HTTP-level dashboard surface without
changing any endpoint code.
- Define every domain metric (`ocr_jobs_total`, `ocr_pages_total`,
`ocr_processing_seconds`, …) inside a `build_metrics(registry)`
factory in `ocr-service/metrics.py` that returns a frozen `OcrMetrics`
dataclass. Production code binds the container to the default
`REGISTRY` once: `metrics: OcrMetrics = build_metrics(REGISTRY)`.
- Tests use a `fresh_metrics` fixture that builds a new
`CollectorRegistry()` per test and monkeypatches `main.metrics` with
a container bound to it. The endpoint code keeps reading
`metrics.<name>` without knowing whether it is talking to the global
registry or a per-test one.
## Consequences
**Positive**
- One reusable factory captures the metric definitions; future metrics
go in one place.
- Tests run with full counter isolation. Cross-test state leakage is
impossible because each test sees its own dataclass instance.
- The instrumentator gives us `http_*` metrics for free, including a
Grafana-ready histogram that pairs with the Spring Boot one.
**Negative**
- One extra level of indirection: any test that asserts on metric
values must remember to monkeypatch `main.metrics`, not the registry
directly. Rebinding through the registry is harmless but useless —
the dataclass holds references to the original collectors.
- `prometheus-client` is now pinned. Upgrading it requires an explicit
bump and re-checking the instrumentator's compatibility range.
- `/metrics` is exposed unauthenticated and relies on the Docker
internal network for confidentiality. See
[docs/OBSERVABILITY.md §Internal-only endpoints](../OBSERVABILITY.md)
for the Caddy snippet that must be added if the service ever gets a
host-side port mapping.
## Alternatives considered
- **Hand-roll the `/metrics` endpoint.** Rejected: would have meant
duplicating what `prometheus-fastapi-instrumentator` ships, plus
middleware for the HTTP histograms.
- **Skip the factory; pass `registry` as a function argument
everywhere.** Rejected: clutters every endpoint signature and breaks
the symmetry with the Spring Boot side, which also relies on a
process-global Micrometer registry.
- **Use a `pytest` autouse fixture that resets `REGISTRY` between
tests.** Rejected: `prometheus_client` does not expose a clean
"unregister all" hook, and we would be relying on private APIs.
## References
- Issue: [#652](https://git.raddatz.cloud/marcel/familienarchiv/issues/652)
- Library: <https://github.com/trallnag/prometheus-fastapi-instrumentator>
- Code: `ocr-service/metrics.py`, `ocr-service/main.py`,
`ocr-service/test_metrics.py`

View File

@@ -1,123 +0,0 @@
# ADR-024: Grafana reads archive-db via a bridged network and a SELECT-only role
## Status
Accepted
## Context
Issue #651 (the PO Overview Grafana dashboard) needs aggregates over three
tables in the main application database — `audit_log`, `documents`, and
`transcription_blocks` — to answer the operator's four weekly questions: is
everything working, are people using it, is the archive making progress, is
OCR working well.
Until now, `obs-grafana` and the rest of the observability stack lived on
their own Docker network (`obs-net`) and never touched `archiv-net`, where
`archive-db` runs. The two were intentionally isolated: a compromise of any
observability container could not pivot to the application database.
The PO Overview's archive-progress and user-activity panels need rolling
7-day SQL aggregates that cannot be served by Prometheus or Loki. That
forces a connection from `obs-grafana` to `archive-db` for the first time.
Two implementation requirements shaped the design:
1. **Least privilege on the database side.** The Spring Boot application
role (`archiv`) has full read/write on every table. Letting Grafana
connect with that role would mean a Grafana compromise becomes an
application compromise. The dashboard only needs SELECT on three
tables; the role must reflect that and nothing more.
2. **Operational simplicity of secret rotation.** The role's password is
shared between the migration that sets it and the Grafana datasource
that uses it. A first version of this work put the password in a
versioned Flyway migration (V68), which Flyway only applies once —
leaving rotation as an out-of-band `psql ALTER ROLE` step that no
runbook documented. The shape must support rotation without manual
SQL.
## Decision
- Provision a dedicated PostgreSQL role `grafana_reader` with `LOGIN` plus
`GRANT SELECT` on `audit_log`, `documents`, `transcription_blocks` only.
No INSERT/UPDATE/DELETE on any table, no access to any other table —
enforced by the database, locked in by both positive and parameterized
negative tests in `GrafanaReaderRoleIntegrationTest`.
- Split the role's lifecycle across two migrations:
- `V68__add_grafana_reader_role.sql` — versioned, immutable, idempotent.
Creates the role and applies the grants. Runs exactly once per
database, like every other versioned migration.
- `R__grafana_reader_password.sql` — Flyway *repeatable* migration that
issues `ALTER ROLE grafana_reader WITH PASSWORD '${grafanaDbPassword}'`.
Flyway computes the checksum on the resolved content, so any change
to `GRAFANA_DB_PASSWORD` flips the checksum and re-applies the
migration on the next boot. Rotation becomes "bump env var, restart
backend, restart obs-grafana" — see the runbook in
`docs/DEPLOYMENT.md §4 → Rotate the grafana_reader DB password`.
- Resolve the password through Spring's `Environment` rather than a raw
`System.getenv()` call, so tests inject via `application.properties`
and the resolver is unit-testable with `MockEnvironment`. Fail closed
with `IllegalStateException` when the variable is unset — no fallback
string. Same shape as `UserDataInitializer`'s refusal to seed default
admin credentials outside dev/test/e2e.
- Join `obs-grafana` to `archiv-net` in addition to `obs-net`. Only the
Grafana container crosses the boundary; Loki, Tempo, Prometheus,
GlitchTip, and the worker containers remain `obs-net`-only.
## Consequences
**Positive**
- Database-level least privilege: a Grafana compromise gains SELECT on
three tables. Cannot write, cannot read PII tables like `app_users`,
`persons`, `notifications`, `document_comments`, `geschichten`. The
parameterized PII negative sweep in `GrafanaReaderRoleIntegrationTest`
is the regression gate; new sensitive tables get added to that list.
- Rotation is documented, idempotent, and survives operator turnover.
No "the password set on day 1 is the password forever" failure mode.
- Tests pin down both sides of the boundary: positive grants must hold,
write-deny must hold, and the PII negative list must stay empty.
**Negative / trade-offs**
- `obs-net` is no longer fully isolated from `archiv-net`. A Grafana RCE
(e.g. via a future Grafana CVE) gains a TCP path to `archive-db`
contained, but not impossible. The least-privilege role is the
mitigation; we accept that mitigation as sufficient for a single
bridged container.
- The backend must hold `GRAFANA_DB_PASSWORD` in its environment forever,
so Flyway can resolve the placeholder on every boot. A backend RCE
therefore also leaks the Grafana datasource password. Acceptable
because that password's blast radius is itself bounded by the
least-privilege grants on `grafana_reader`.
## Alternatives considered
- **Prometheus PostgreSQL exporter, no direct connection.** Loses ad-hoc
SQL aggregates — the dashboard would need every metric pre-defined as
an exporter query, with a redeploy to add a new one. The PO Overview
is the type of dashboard that grows panels over time; pre-defining
every aggregate is the wrong shape.
- **Read replica or logical-replication slot dedicated to Grafana.**
Real operational cost (extra Postgres instance, replication monitoring,
storage doubled) disproportionate to a weekly PO glance.
- **Versioned migration with `flyway repair` for rotation.** Rejected:
conflates schema lifecycle with credential lifecycle, requires manual
intervention to rotate, and the repair command's semantics are
surprising to operators unfamiliar with Flyway internals.
- **Hardcoded fallback password when env var is unset.** Rejected as a
security blocker: publishes a known credential for a role with read
access to user activity and full letter text. The fail-closed
behavior is the explicit defense.
## References
- Issue #651 — PO Overview Grafana dashboard
- `backend/src/main/resources/db/migration/V68__add_grafana_reader_role.sql`
- `backend/src/main/resources/db/migration/R__grafana_reader_password.sql`
- `backend/src/main/java/org/raddatz/familienarchiv/config/FlywayConfig.java`
- `backend/src/test/java/org/raddatz/familienarchiv/config/GrafanaReaderRoleIntegrationTest.java`
- `infra/observability/grafana/provisioning/datasources/datasources.yml`
- `docker-compose.observability.yml``archiv-net` bridge on `obs-grafana`
- `docs/DEPLOYMENT.md §4` — rotation runbook

View File

@@ -1,145 +0,0 @@
# ADR-025 — Canonical Import Output as Contract & Single-Migration Schema Foundation
**Date:** 2026-05-27
**Status:** Accepted
**Issue:** #671 (schema, decisions 12); #669 (importer architecture, decision 3)
**Milestone:** Handling the Unknowns — honest uncertainty in dates & people
---
## Context
The "Handling the Unknowns" milestone introduces honest uncertainty into the archive:
documents whose dates are known only approximately or as a range, and people the importer
infers from raw attribution text but cannot confidently identify. Three sibling issues —
date precision (#666), name triage (#665), and the importer (#669) — each independently
planned a Flyway `V69` migration that altered `persons`. Three `V69`s is a boot failure
(Flyway versions must be unique), and `persons.provisional` was at risk of being defined
twice.
Two durable decisions had to be made before any application code in Phases 36 could
compile against the new schema.
---
## Decision
### 1. All import/precision/attribution/identity schema lives in ONE migration with a single owner
`V69__import_precision_attribution_identity_schema.sql` adds every new column for this
milestone in a single, atomic, forward-only migration:
- `documents`: `meta_date_precision` (backfilled `DAY` where dated / `UNKNOWN` where not,
then `NOT NULL`), `meta_date_end`, `meta_date_raw`, `sender_text`, `receiver_text`.
- `persons`: `source_ref` (unique index, nullable), `provisional` (`NOT NULL DEFAULT false`).
- `tag`: `source_ref` (unique index, nullable).
Integrity is pushed to the database as fail-closed `CHECK` constraints (the precedent is
`V22`'s `person_type` allowlist):
- `meta_date_precision` must be one of the seven enum values.
- `meta_date_end` may be non-null **only** when precision = `RANGE` (one-directional, not
biconditional — see Consequences).
- `meta_date_end >= meta_date` for ranges with both endpoints (a `CHECK`, not a trigger).
- `meta_date_raw`, `sender_text`, `receiver_text` are length-capped at 10 000 (mirrors the
`transcription_blocks` cap in `V18`).
No sibling issue adds another migration that alters `persons` or `documents` in this
milestone.
### 2. The backend `DatePrecision` enum is a verbatim mirror of the normalizer's `Precision`; the canonical output is the contract
The importer reads the Python normalizer's canonical output
(`tools/import-normalizer/`). The backend `DatePrecision` enum
(`DAY, MONTH, SEASON, YEAR, RANGE, APPROX, UNKNOWN`) is a verbatim copy of the normalizer's
`Precision(StrEnum)` (`dates.py`). There is **no translation layer**: the normalizer's
output strings are persisted as-is. The same applies to `source_ref`, which carries the
normalizer's `person_id` / canonical `tag_path` unchanged as the re-import idempotency key.
### 3. The importer is four idempotent loaders over the canonical artifacts; Java no longer parses the raw spreadsheet (Phase 3, #669)
The legacy `MassImportService` read the *raw* original spreadsheet by positional column
index (`@Value app.import.col.*`) and re-derived everything in Java (ISO-only date parsing,
name classification via `findOrCreateByAlias`, an ODS/XXE XML path). It is **deleted**.
The rebuild is a `CanonicalImportOrchestrator` driving four single-responsibility loaders in
an explicit dependency DAG — `TagTreeImporter``PersonRegisterImporter`
`PersonTreeImporter``DocumentImporter` — that **consume the committed canonical artifacts**
(`tools/import-normalizer/out/`). A shared `CanonicalSheetReader` maps columns **by header
name** (not by index) and fails closed (`IMPORT_ARTIFACT_INVALID`) on a missing header. Each
loader calls the **owning domain's service**, never a repository (layering rule); the tree
loader uses `RelationshipService`, never the relationship repository.
Settled sub-decisions:
- **Idempotency precedence is domain-specific.** Persons/tags upsert by `source_ref`,
documents by `index`. Two distinct rules apply:
- **Person/Tag scalar fields = preserve human edits.** On re-import a non-blank field a human
changed in-app is never overwritten (blank fields are filled from canonical via the single
`preferHuman` idiom), and `provisional` is monotonic-downward — once a human confirms a
person (`false`) it never reverts to `true`. Because the orchestrator loads the register and
tree *before* documents, a person already `false` can never be flipped provisional by a
later document row that references the same `source_ref`, regardless of document-row order.
- **Document sender/receivers/tags = canonical-authoritative.** A document's sender, receiver
set, and tag set are owned by the canonical row, not the archivist. On re-import of a
PLACEHOLDER document `DocumentImporter` clears and re-populates `receivers`/`tags` so a row
whose set *shrinks* prunes the removed links rather than accumulating stale ones. The
"preserve human edits" rule above does **not** extend to these collections. The raw
`sender_text`/`receiver_text` cells are always retained verbatim (a separate invariant).
Note non-PLACEHOLDER documents are skipped entirely (`ALREADY_EXISTS`), so once a document
has a file the importer never touches it again — this bounds the authoritative-overwrite
blast radius to placeholder rows.
Verified against real Postgres in `CanonicalImportIntegrationTest`
(`reimport_preservesHumanEditedPersonField`, `reimport_prunesRemovedReceiverAndTag…`,
`import_neverFlipsRegisterPersonToProvisional…`).
- **Name policy = Option A.** The normalizer resolved attribution upstream: the document sheet
carries the resolved slug in `sender_person_id` / `receiver_person_ids` and the raw cell in
`sender_name` / `receiver_names`. The importer routes register-first by `source_ref`
(provisional `Person` when a slug is unmatched), and **always retains the raw cell** in
`sender_text` / `receiver_text` even when a person is linked — the load-bearing invariant
behind the merge story. A row with no slug but raw text (prose / `?` / object-noise) links
no person and keeps only the raw text.
- **`provisional` is now populated.** Importer-minted persons are `provisional = true`;
register and tree persons stay `false`. This is the Phase-3 contract the schema (decision 1)
left at default-`false`.
- **Security guards are defense-in-depth, not upstream-trust.** The `file` column is treated as
hostile (CWE-22 does not care it came from our tool): its basename is validated
(`isValidImportFilename` — slash/backslash, three Unicode slash homoglyphs, `..`, null byte,
absolute path) and resolved only inside the import dir with canonical-path containment, so a
traversal value can never escape. The `%PDF` magic-byte check gates upload. These guards and
their tests were ported from `MassImportService` **before** it was deleted.
---
## Consequences
- **RANGE is one-directional, not biconditional.** A `RANGE` row may have a null
`meta_date_end` (an open-ended range with only a start), because the normalizer can emit
start-only ranges. A biconditional `RANGE ⟺ end IS NOT NULL` rule would reject valid
normalizer output, so it was rejected. Phase 4 rendering must handle a `RANGE` with no end
gracefully.
- **`provisional` stays `false` throughout this phase.** The column and flag exist, but no
code path sets it `true`; the importer (Phase 3) is the only writer. This is intentional,
not a half-built feature.
- **A future dev must not "improve" the enum.** Renaming or dropping a `DatePrecision` value
without changing the normalizer silently breaks import idempotency and date rendering. The
enum's Javadoc states this; the DB `CHECK` enforces validity independent of the Java enum.
- **`source_ref` is unique + nullable.** Manually created persons/tags have `source_ref =
NULL`; Postgres allows multiple NULLs under a plain unique index, so no backfill is needed.
- **Forward-only.** The migration is immutable once shipped (Flyway checksum model); any fix
goes in a later version. There is no down-migration — rollback means restoring from the
nightly `pg_dump`, the standard procedure.
- **`runImport()` is non-transactional — per-loader transactions only.** The orchestrator
does not wrap the four loaders in a single transaction; each loader (or the per-call
`upsertBySourceRef` / `DocumentImporter.load`) carries its own `@Transactional` boundary. A
partial failure mid-run (e.g. the document loader throws after tags + persons committed)
leaves the earlier loaders' data committed and the `ImportStatus` set to `FAILED`. This is
acceptable precisely because the import is idempotent: re-running is safe and converges to
the same state, so the operational recovery for a partial failure is simply to fix the
offending artifact and re-trigger the import — no manual cleanup of half-written data is
required. A future maintainer must not assume all-or-nothing semantics.
- **`PersonSummaryDTO` coupling.** `provisional` was added to the `PersonSummaryDTO` native
interface projection; because the projection is backed by native SQL, the column had to be
added to all three native `SELECT`s (`findAllWithDocumentCount`, `searchWithDocumentCount`,
`findTopByDocumentCount`) or it would silently return `false`. Guarded by integration tests
against real Postgres.

View File

@@ -43,12 +43,9 @@ Rel(ocr, storage, "Fetches PDF via presigned URL", "HTTP / S3 presigned")
Rel(mc, storage, "Bootstraps bucket + service account on startup", "MinIO Client CLI")
Rel(promtail, loki, "Pushes log streams", "HTTP/Loki push API")
Rel(backend, tempo, "Sends distributed traces via OTLP", "HTTP / OTLP / port 4318 (archiv-net)")
Rel(prometheus, backend, "Scrapes JVM + HTTP metrics", "HTTP 8081 /actuator/prometheus")
Rel(prometheus, ocr, "Scrapes OCR + http_* metrics", "HTTP 8000 /metrics")
Rel(grafana, prometheus, "Queries metrics", "HTTP 9090")
Rel(grafana, loki, "Queries logs", "HTTP 3100")
Rel(grafana, tempo, "Queries traces", "HTTP 3200")
Rel(grafana, db, "Read-only dashboard queries via grafana_reader role", "PostgreSQL / archiv-net")
Rel(glitchtip, db, "Stores error events in glitchtip DB", "PostgreSQL / archiv-net")
Rel(obs_glitchtip_worker, obs_redis, "Processes Celery tasks", "Redis / obs-net")

View File

@@ -1,7 +1,7 @@
@startuml
!include <C4/C4_Component>
title Component Diagram: API Backend — Document Management & Canonical Import
title Component Diagram: API Backend — Document Management & Import
Container(frontend, "Web Frontend", "SvelteKit")
ContainerDb(db, "PostgreSQL", "PostgreSQL 16")
@@ -9,48 +9,30 @@ ContainerDb(minio, "Object Storage", "MinIO (S3-compatible)")
System_Boundary(backend, "API Backend (Spring Boot)") {
Component(docCtrl, "DocumentController", "Spring MVC — /api/documents", "CRUD for documents: search, get by ID, update metadata, upload/download file, conversation thread, batch metadata updates, and per-month density aggregation for the timeline filter widget.")
Component(adminCtrl, "AdminController", "Spring MVC — /api/admin", "Triggers the asynchronous canonical import (requires ADMIN permission). Reports import state (IDLE/RUNNING/DONE/FAILED).")
Component(adminCtrl, "AdminController", "Spring MVC — /api/admin", "Triggers asynchronous Excel/ODS mass import (requires ADMIN permission). Reports import state (IDLE/RUNNING/DONE/FAILED).")
Component(docSvc, "DocumentService", "Spring Service", "Core document business logic: store, update, search. Resolves persons and tags, delegates file I/O to FileService, builds dynamic JPA Specifications, and integrates with audit logging.")
Component(fileSvc, "FileService", "Spring Service", "Wraps AWS SDK v2 S3Client. Uploads files with UUID-keyed paths, computes SHA-256 hash, downloads with content-type detection, and generates presigned URLs for OCR access.")
Component(importOrch, "CanonicalImportOrchestrator", "Spring Service — @Async", "Runs the four canonical loaders in an explicit dependency DAG (TagTree → PersonRegister → PersonTree → Document). Smoke-checks all four artifacts before starting, owns the IDLE/RUNNING/DONE/FAILED state machine, fails closed on a malformed artifact.")
Component(tagTreeLoader, "TagTreeImporter", "Spring Component", "Upserts the tag hierarchy from canonical-tag-tree.xlsx via TagService (by canonical tag_path).")
Component(personRegLoader, "PersonRegisterImporter", "Spring Component", "Upserts register persons from canonical-persons.xlsx via PersonService (by normalizer person_id).")
Component(personTreeLoader, "PersonTreeImporter", "Spring Component", "Upserts tree persons + relationships from canonical-persons-tree.json via PersonService and RelationshipService.")
Component(docLoader, "DocumentImporter", "Spring Component", "Loads canonical-documents.xlsx: routes attribution register-first (raw cell always retained in sender_text/receiver_text), parses clean dates, keeps the S3 upload + thumbnail plumbing, and ports the path-traversal / homoglyph / absolute-path / %PDF magic-byte security guards.")
Component(sheetReader, "CanonicalSheetReader", "POI helper", "Maps a canonical .xlsx by header name (no positional indices), splits pipe-delimited list columns, fails closed (IMPORT_ARTIFACT_INVALID) on a missing required header.")
Component(massImport, "MassImportService", "Spring Service — @Async", "Reads Excel/ODS files from /import mount. Tracks import state (IDLE/RUNNING/DONE/FAILED) and delegates to ExcelService. Returns immediately; processing runs asynchronously.")
Component(excelSvc, "ExcelService", "Spring Service", "Parses Excel/ODS workbooks (Apache POI). Column indices configurable via application.properties. Creates/updates document records per row.")
Component(minioConf, "MinioConfig", "Spring @Configuration", "Creates the S3Client and S3Presigner beans with path-style access for MinIO. Validates MinIO connectivity on startup.")
Component(docRepo, "DocumentRepository", "Spring Data JPA", "Queries documents with Specification-based dynamic search, bidirectional conversation thread queries, full-text search with ranking and match highlighting, and transcription pipeline queue projections.")
Component(docSpec, "DocumentSpecifications", "JPA Criteria API", "Factory for composable predicates: hasText (full-text), hasSender, hasReceiver, isBetween (date range), hasTags (subquery AND/OR logic).")
}
Component(personSvc, "PersonService", "Spring Service", "See diagram 3e. Resolves sender / receiver persons by ID; upserts persons by source_ref for the importer.")
Component(tagSvc, "TagService", "Spring Service", "See diagram 3d. Finds or creates tags by name; upserts tags by source_ref for the importer.")
Component(relSvc, "RelationshipService", "Spring Service", "See diagram 3e. Creates family relationships from the person tree during import.")
Component(personSvc, "PersonService", "Spring Service", "See diagram 3e. Called by DocumentService to resolve sender / receiver persons by ID.")
Component(tagSvc, "TagService", "Spring Service", "See diagram 3d. Called by DocumentService to find or create tags by name.")
Rel(frontend, docCtrl, "Document requests", "HTTP / JSON")
Rel(frontend, adminCtrl, "Trigger import", "HTTP / JSON")
Rel(docCtrl, docSvc, "Delegates to")
Rel(adminCtrl, importOrch, "Triggers")
Rel(adminCtrl, massImport, "Triggers")
Rel(docSvc, fileSvc, "Upload / download files")
Rel(docSvc, docRepo, "Reads / writes documents")
Rel(docSvc, docSpec, "Builds search predicates")
Rel(docSvc, personSvc, "Resolves sender / receivers")
Rel(docSvc, tagSvc, "Finds or creates tags")
Rel(importOrch, tagTreeLoader, "1. Loads tags")
Rel(importOrch, personRegLoader, "2. Loads register persons")
Rel(importOrch, personTreeLoader, "3. Loads tree persons + relationships")
Rel(importOrch, docLoader, "4. Loads documents")
Rel(tagTreeLoader, sheetReader, "Reads canonical .xlsx")
Rel(personRegLoader, sheetReader, "Reads canonical .xlsx")
Rel(docLoader, sheetReader, "Reads canonical .xlsx")
Rel(tagTreeLoader, tagSvc, "Upserts tags by source_ref")
Rel(personRegLoader, personSvc, "Upserts persons by source_ref")
Rel(personTreeLoader, personSvc, "Upserts persons by source_ref")
Rel(personTreeLoader, relSvc, "Creates relationships")
Rel(docLoader, docSvc, "Upserts documents by index")
Rel(docLoader, personSvc, "Register-first match / provisional person")
Rel(docLoader, tagSvc, "Attaches tag by source_ref")
Rel(docLoader, fileSvc, "Uploads resolved file")
Rel(massImport, excelSvc, "Parses Excel/ODS file")
Rel(excelSvc, docSvc, "Creates / updates documents")
Rel(minioConf, fileSvc, "Provides S3Client and S3Presigner beans")
Rel(fileSvc, minio, "PUT / GET / presigned URL objects", "S3 API / HTTP")
Rel(docRepo, db, "SQL queries", "JDBC")

View File

@@ -1,6 +1,6 @@
@startuml db-orm
' Schema source: Flyway V1V69 (excl. V37, V43 — intentionally removed)
' Schema as of: V69 (2026-05-27)
' Schema source: Flyway V1V60 (excl. V37, V43 — intentionally removed)
' Schema as of: V60 (2026-05-06)
' ⚠ This is a versioned snapshot. Update when the schema changes significantly.
hide circle
@@ -88,11 +88,6 @@ package "Documents" {
summary : TEXT
transcription : TEXT
meta_date : DATE
meta_date_precision : VARCHAR(16) NOT NULL
meta_date_end : DATE
meta_date_raw : TEXT
sender_text : TEXT
receiver_text : TEXT
meta_location : VARCHAR(255)
meta_document_location : VARCHAR(255)
archive_box : VARCHAR(255)
@@ -187,8 +182,6 @@ package "Persons" {
birth_year : INTEGER
death_year : INTEGER
family_member : BOOLEAN NOT NULL
source_ref : VARCHAR(255) UNIQUE
provisional : BOOLEAN NOT NULL
}
entity person_name_aliases {
@@ -224,7 +217,6 @@ package "Tags" {
name : VARCHAR(255) NOT NULL UNIQUE
parent_id : UUID <<FK>>
color : VARCHAR(20)
source_ref : VARCHAR(255) UNIQUE
}
}

View File

@@ -1,9 +1,7 @@
@startuml db-relationships
' Schema source: Flyway V1V69 (excl. V37, V43 — intentionally removed)
' Schema as of: V69 (2026-05-27)
' Schema source: Flyway V1V60 (excl. V37, V43 — intentionally removed)
' Schema as of: V60 (2026-05-06)
' ⚠ This is a versioned snapshot. Update when the schema changes significantly.
' Note: V69 adds columns only (persons.source_ref, tag.source_ref, document
' precision/attribution fields); no new FK relationships, so this diagram is unchanged.
hide circle
skinparam linetype ortho

View File

@@ -1,313 +0,0 @@
# Spreadsheet Analysis — Findings (2026-05-25)
Analysis of the **real raw archive** spreadsheets against the current `MassImportService`
(`backend/.../importing/MassImportService.java`). Goal: import ~7,600 letter rows + a
163-person register, with PDFs to follow.
Every issue has an ID (`IMP-NN`), severity, evidence, and a proposed approach.
---
## 0. Context: how the importer reads a row today
`MassImportService` reads **sheet index 0** and maps columns by configurable indices
(`app.import.col.*`, defaults in the source):
| Property | Default col | Meaning |
| --- | --- | --- |
| `colIndex` | 0 | Index (→ filename `<index>.pdf`) |
| `colBox` | 1 | Box |
| `colFolder` | 2 | Mappe |
| `colSender` | 3 | Sender (raw) |
| `colReceivers` | 5 | Receivers (raw) |
| `colDate` | 7 | Date |
| `colLocation` | 9 | Location |
| `colTags` | 10 | Tag (single) |
| `colSummary` | 11 | Summary |
| `colTranscription` | 13 | Transcription |
These defaults match the **ODS** file exactly (`Index, Box, Mappe, Von, BriefeschreiberIn,
An, EmpfängerIn, Datum, Datum Originalformat, Ort, Schlagwort, Inhalt, Zeitlicher Kontext,
Transkript` = 14 cols). The ODS was the development target. The new xlsx is a different beast.
Per-row pipeline: skip if Index blank → derive filename from Index → validate filename →
look for file on disk (recursive; metadata-only if absent) → check PDF magic bytes →
`importSingleDocument` (upsert by `originalFilename`, dedupe non-placeholders as
`ALREADY_EXISTS`). Date parsing is **ISO-only** (`LocalDate.parse`).
---
## IMP-01 — New xlsx column layout ≠ importer defaults 🔴 BLOCKER
The new `…aktuell…xlsx` (sheet `Familienarchiv`, 7,943 rows × 12 cols) has a **denser,
different** layout. There is an extra `Datei` column at index 1, and the normalized
`Von`/`An`/ISO-`Datum` columns from the ODS **do not exist**.
| col | New xlsx header | Importer default expects | Result with defaults |
| --- | --- | --- | --- |
| 0 | Index | Index | ✅ ok |
| 1 | **Datei** (path) | Box | ❌ Box ← `..\__scan\W-0001.pdf` |
| 2 | Box | Mappe | ❌ Mappe ← `V` |
| 3 | Mappe | Sender | ❌ Sender ← `1` |
| 4 | BriefeschreiberIn (sender) | — (unused) | ❌ sender ignored |
| 5 | EmpfängerIn (receiver) | Receivers | ✅ coincidentally ok |
| 6 | Datum des Briefes | — (unused) | ❌ date ignored |
| 7 | Ort (location) | Date | ❌ Date ← `Rotterdam` → null |
| 8 | Schlagwort (tag) | — (unused) | ❌ tag ignored |
| 9 | Inhalt (summary) | Location | ❌ Location ← summary text |
| 10 | — | Tag | ❌ empty |
| 11 | — | Summary | ❌ empty |
| 13 | — | Transcription | ❌ column doesn't exist |
**Impact:** importing as-is produces almost entirely garbage metadata.
**Proposed approach (decide with Marcel):**
- (a) Re-map via the existing `app.import.col.*` properties — fast, no code. New mapping:
`index=0, box=2, folder=3, sender=4, receivers=5, date=6, location=7, tags=8, summary=9`,
and there is **no** transcription column (point it past the end or add a "missing column"
convention). Caveat: tags land in `colTags` but the real per-letter keywords are in
`Inhalt` (col 9) — see IMP-08 note on tags vs summary.
- (b) Make the importer **header-driven** (map by header name, not index) so it survives
layout drift across files. More robust, needs a code change (→ Gitea issue).
Recommendation: (b) is the durable fix given we have ≥3 different layouts already.
---
## IMP-02 — 90% of dates are free-text the parser can't read 🔴 BLOCKER
The dates are written **as in the letter**. `parseDate()` only does `LocalDate.parse()`
(ISO `yyyy-MM-dd`), so anything non-ISO becomes `null`.
Of **7,319** rows with a date value (col 6):
| kind | count | parses today? |
| --- | --- | --- |
| Real Excel date cells (→ ISO via POI) | 748 | ✅ |
| Free-text date strings | 6,571 | ❌ → null |
**90% of dated rows lose their date.** (623 rows have no date at all.)
Observed free-text formats (counts approximate, from col 6):
| Format | Count | Examples |
| --- | --- | --- |
| `D.M.YY` | 1,338 | `11.10.08`, `13.5.09` |
| `D.RomanMonth.YY/YYYY` | ~1,527 | `22.III.18`, `19.XII.1954`, `1.III.27` |
| `D.Month YYYY` | 950 | `6.März 1888`, `9.März 1888` (note: **no space** after the dot) |
| `D.M.YYYY` | 358 | `15.2.1888`, `7.3.1888` |
| Approximate / unknown | 146 | `?`, `13.7.18?`, `17.Nov (?) 1887`, `13.Januar ? 1907` |
| `Month YYYY` / season / holiday | 41+27 | `Mai 1895`, `Herbst 1913`, `Pfingsten 1922`, `Ostern 1890` |
| `YYYY` only | 17 | `1905`, `1949` |
| `D.M.` no year | 10 | `8.9.`, `14.3.` |
| Ranges | 5+ | `8.1.1916 - 15.3.1916`, `1881/82`, `1945/46?` |
| Abbrev/English months, no space | many | `29.Sept.1891`, `10.Oct.95`, `9.December1889`, `18.Dez.1916` |
| Slash separator | ~315 | `2/2. 18`, `17/6. 1916`, `10/4. 1917` |
| English `Month D. YYYY` | several | `April 12. 1922`, `Oct.5. 1916`, `Mai 23. 1917` |
| Trailing notes | 5+ | `26.4.1888, 2. Brief`, `31.8.1888,2.Brief` |
| 3-digit year (typo) | 107 | `30.1.889` (→ 1889), `4.3.1023` (in person file → 1923) |
| Day-range within month | several | `7./8. Sept.1923` |
**Proposed approach:** build a tolerant German/historical date parser (→ Gitea issue, it's
a code change). Requirements:
- Numeric `D.M.YY[YY]` and `D/M. YY[YY]` (slash = dot).
- Roman-numeral months (`I``XII`).
- German + English month names, full + abbreviated, with/without separating space
(`März`, `Sept.`, `Dez`, `December`, `Oct.`).
- 2-digit and 3-digit year normalization (`08`→1908? needs a century rule; `889`→1889).
- Partial dates → store what's known. The schema only has a single `documentDate
LocalDate`; **decide** whether to (i) store first-of-month/year, (ii) add a
`datePrecision` enum + `dateOriginal` text column, or (iii) keep raw text in a new
`documentDateRaw` field and leave `documentate` null when imprecise. Recommendation:
preserve the **original string** always (new column) + best-effort parsed date +
precision flag, so nothing is lost and the UI can show "ca. 1916".
- Unparseable/approximate (`?`, `Herbst 1913`) → keep raw, leave parsed date null, **do
not drop the row**.
**Cross-check:** even after IMP-01 is fixed so the date column is read, IMP-02 still bites.
Both must be solved before a real import.
---
## IMP-03 — New xlsx has no normalized/ISO date or name columns 🔴 BLOCKER
The ODS had helper columns the importer relied on: `Von`/`An` (normalized names) and
`Datum` (ISO) alongside `Datum Originalformat`. The new xlsx has **only the raw**
`BriefeschreiberIn` / `EmpfängerIn` / `Datum des Briefes`. So:
- Names must be parsed from raw strings (PersonNameParser already does receivers; **sender
is taken raw, never split** — fine for senders, which are single, but no normalization).
- Dates must be parsed from raw (IMP-02).
This is the root reason IMP-01/02 exist: the new file is the *uncurated* source, not the
hand-normalized ODS. Tie any importer redesign to this reality — we will not get clean
helper columns in the 7k-row file.
---
## IMP-04 — Person register not imported at all 🟠 MAJOR
`Personendatei 2.xlsx` → sheet `Tabelle1`, **163 people**, columns:
`Generation, Familienname, Vorname, geb als (maiden), Geburtsdatum, Geburtsort,
Todesdatum, Sterbeort, verheiratet mit, Bemerkung`.
Today `MassImportService` has **no person-register import**. Persons are only
auto-created as bare aliases from the document sender/receiver strings
(`personService.findOrCreateByAlias`). All this rich genealogical data is unused:
- birth/death dates + places,
- maiden names (the key to dedup — see IMP-05),
- `verheiratet mit` (marriage links → `PersonRelationship` domain),
- `Bemerkung` relationship hints (`"Schwester v Marie Cram"`, `"Nichte von Herbert"`),
- `Generation` (G 1G 4),
- nicknames in quotes (`"Tante Lolly"`).
Data-quality notes in this file too: multi-value `Vorname` (`Charlotte,Meta,Jacobi`);
mixed Excel-date vs text dates; typos (`4.3.1023`); missing-day dates (`.12.1955`);
trailing spaces (`30.8.1862 `).
**Proposed approach:** a separate **Person import** (→ Gitea issue). Order matters: import
persons *first* so documents can link to real people instead of creating alias stubs.
Use `geb als` + `verheiratet mit` to pre-build the alias/relationship graph.
---
## IMP-05 — Name variations create duplicate Persons 🟠 MAJOR
The same person appears under several surface forms across the document sheet:
- `Eugenie Müller` (151) vs `Eugenie de Gruyter` (452) — maiden vs married.
- `Clara Cram` (sender 1,284) vs `Clara de Gruyter` (455) vs `Clara de Gruyter sen.` (66).
- `Walter de Gruyter` (589) vs bare `Walter` (78).
`findOrCreateByAlias` keys on the raw string, so each variant becomes (or matches) a
distinct alias and likely a **distinct Person**. Result: fragmented person records,
broken Briefwechsel pairing, wrong stats.
**Proposed approach:** drive dedup from the register's `geb als` column (IMP-04) —
`Eugenie de Gruyter geb Müller` tells us the two strings are one person. Build an alias
map (married ↔ maiden ↔ nickname) before/while importing documents. This is partly data
(an alias mapping table/sheet) and partly code (consume it). Likely a Gitea issue once the
mapping format is decided.
945 distinct sender strings / 274 distinct receiver strings — expect a long-tail of
variants to reconcile. Don't try to be perfect on the first pass; get the high-frequency
names right.
---
## IMP-06 — 93 data rows with blank Index are silently dropped 🟠 MAJOR
`processRows` does `if (index.isBlank()) continue;`. **93 rows** have a blank Index but
carry other data (sender/receiver/date/etc.). These are silently skipped — they don't even
appear in the `skippedFiles` report (that list only covers rows that *had* an index but
failed file checks).
**Proposed approach:** before import, triage these 93 rows — are they continuation rows,
section markers, or genuine letters missing an ID? At minimum, surface a count/warning so
nothing vanishes unnoticed. Possibly a small importer change to report blank-index skips.
---
## IMP-07 — 43 duplicate Index values 🟡 MINOR
43 Index values repeat (e.g. `W-0388`, `Eu-0332`, `C-0234`, `C-0235`, `C-0236`, `J-0175`).
Since the filename is derived from Index, the importer's upsert keys both rows on the same
`originalFilename`: the second occurrence is treated as `ALREADY_EXISTS` (if the first
isn't a placeholder) and **its metadata is lost**, or it overwrites a placeholder.
**Proposed approach:** list the 43 duplicates, check whether they're true duplicates or
two distinct letters that share an ID by mistake. Fix in the source data, or extend the ID
scheme. Data task first; software only if the ID scheme must change.
---
## IMP-08 — Section/title rows interleaved with data 🟡 MINOR
Row 2 of the sheet is a section header sitting only in the sender column
(`Brautbriefe von Walter der Gruyter an Eugenie Müller`) with a blank Index — caught by the
blank-Index skip (overlaps IMP-06). There may be more such banners scattered through 7,943
rows. Also relevant: the per-letter **keywords live in `Inhalt` (col 9)** as comma-joined
values (`Tilburg,Verwandschaft`, `poetisch,Reise nach Breda`), while `Schlagwort` (col 8)
holds a single broad tag (`Brautbriefe`). The importer only takes **one** tag column —
decide which column feeds tags vs summary, and whether to split comma-lists into multiple
tags.
**Proposed approach:** scan for rows where Index is blank but other cells are set (already
have the count: relates to the 93 in IMP-06). Confirm tag vs summary column choice with
Marcel.
---
## IMP-09 — Index ↔ Datei filename mismatches 🟡 MINOR
The `Datei` column (col 1) holds explicit relative paths (`..\__scan\W-0001.pdf`) but they
don't always agree with the Index. Example: row 20 has Index `W-0010x` but Datei
`..\__scan\W-0011x.pdf`. The importer derives the filename from **Index**, so it will look
for `W-0010x.pdf` and may miss the actual scan. (Note: the `Datei` paths themselves are
Windows-style with `\` and `..` and would be **rejected** by `isValidImportFilename` if anyone
tried to use that column directly — 7,623 rows use backslashes, 7,455 contain `..`.)
**Proposed approach:** when the PDFs arrive, reconcile Index-derived names against actual
filenames; produce a mismatch report. Keep deriving from Index (stable IDs) but flag
disagreements. Mostly a data/QA task.
---
## IMP-10 — `x`-suffix rows (letter backsides / enclosures) 🟡 MINOR
**42 rows** have an `x`-suffixed Index (`W-0001x`, `W-0002x`, …). They're sparse — typically
only Index + Datei + sender + receiver, no box/folder/date. They appear to be the reverse
side or an enclosure of the preceding letter. The importer treats each as an independent
Document, and the `metadataComplete` heuristic flags them complete as soon as a sender is
present (date/box/folder all missing).
**Proposed approach:** decide whether `x` rows should be (a) separate documents, (b) extra
pages/files attached to their parent, or (c) skipped. Affects both the data model and the
`metadataComplete` heuristic. Discuss with Marcel.
---
## IMP-11 — Multi-receiver separators include bare `u` / `u.` 🟡 MINOR
`PersonNameParser.parseReceivers` already handles ` und `, ` u `, `//`, `geb.`,
parenthesised shared surnames, and `Familie` filtering — good. But the real data also uses
the abbreviation in forms the top-receivers list shows are common:
`Eugenie u Walter de Gruyter` (230), `Herbert u Clara` (94), `Juan u Marie Cram` (75),
and space-joined pairs like `Ella Anita` (79) that may be two people.
Raw separator tally on receivers: ` und ` ×70, `,` ×11, `;` ×2, `/` ×1 — plus the many ` u `
cases above. Senders are **not** parsed at all (taken raw), which is fine unless a sender
cell ever holds two names.
**Proposed approach:** add `MassImportServiceTest` cases for the real-world strings above;
extend the parser only where it actually fails. `Ella Anita`-style space-joined pairs are
ambiguous — likely leave as one person unless the register says otherwise (ties to IMP-05).
---
## IMP-12 — Importer reads only the first sheet, no validation 🟡 MINOR
`readXlsx` does `workbook.getSheetAt(0)`. For the new xlsx that's `Familienarchiv` (✅), but
the file also contains `Inhaltsverzeichnis grob`, `Inhaltsverzeichnis WdG`, `Tabelle4`.
There is no header validation: if the wrong file/sheet is dropped in `/import`, the importer
will happily map columns positionally and import nonsense. Also `findSpreadsheetFile()` picks
the **first** spreadsheet found in `/import` — with three spreadsheets present there today,
which one wins is filesystem-order-dependent.
**Proposed approach:** (a) validate the header row against expected names before importing;
(b) make the target sheet/file explicit (config or header match) rather than "first found".
Ties into the header-driven mapping in IMP-01(b).
---
## Summary of recommended sequencing
1. **Decide the importer mapping strategy** (IMP-01): positional re-config vs header-driven.
Header-driven is the durable choice and unblocks IMP-03/12.
2. **Build the tolerant date parser** (IMP-02) with original-string preservation + precision.
3. **Import the Person register first** (IMP-04) and build the alias/marriage graph,
which feeds person dedup (IMP-05).
4. **Then import documents**, with reporting for blank-index (IMP-06), duplicates (IMP-07),
and section rows (IMP-08).
5. **Reconcile files** when the ~7,000 PDFs arrive (IMP-09), and decide `x`-row semantics
(IMP-10).
Code-change items (→ Gitea issues when we get there): IMP-01(b), IMP-02, IMP-04, IMP-05
(consume side), IMP-06 reporting, IMP-12. Pure-data items stay in this folder.

View File

@@ -1,417 +0,0 @@
# Spec — Import Normalizer
> Authored in the voice of **"Elicit"**, requirements engineer (see
> `.claude/personas/req_engineer.md`). This is a requirements artifact: it states
> *what* the normalizer must do and *how we'll know it's done*, in problem/behaviour
> language. Technology choices already made during brainstorming (Python, openpyxl,
> overrides-and-rerun) are recorded as **constraints**, not re-litigated here.
- **Status:** Draft for review
- **Date:** 2026-05-25
- **Related:** [`01-findings-spreadsheet-analysis.md`](./01-findings-spreadsheet-analysis.md) (issues `IMP-01..12`), [`README.md`](./README.md)
- **Scope boundary:** This spec covers the **offline normalizer** that turns the raw
spreadsheets into a clean, canonical dataset + review artifacts. Wiring the canonical
contract into the Java `MassImportService` and the `Document`/`Person` model is **Phase 2**
and gets its own spec. This spec only *defines the contract* Phase 2 must satisfy.
---
## 1. Project Brief
**Vision.** Turn the family's human-curated, free-form archive spreadsheets into a clean,
canonical dataset that imports deterministically — without hand-editing thousands of rows
and without losing the historical nuance of how things were originally written.
**Problem.** The real archive (`…aktuell…xlsx`, 7,943 rows) and the person register
(`Personendatei 2.xlsx`, 163 people) were authored for humans to read, not machines to
import. Dates are written as they appeared in each letter (≈90% unparseable by the current
importer), the column layout differs from what the importer expects, and the same person
appears under many names. Importing as-is produces garbage (see `IMP-01..12`).
**Goal (measurable).**
- G1 — After the automated pass, **≤ 5%** of dated rows remain `UNKNOWN`; after the
overrides-iteration loop, **≤ 0.5%**.
- G2 — **100%** of source rows are represented in the canonical output or in a review file —
*zero silent drops*.
- G3 — **100%** of original values (raw date string, raw name string, source row number)
are preserved.
- G4 — A full run over the current inputs completes in **< 60 s** on the dev laptop and is
**content-deterministic** when re-run with unchanged inputs+overrides: identical canonical
cell matrices and identical review-file contents. (Workbook metadata is pinned; literal xlsx
byte-identity is not guaranteed because the zip container stores entry metadata.)
**Primary actor.** Marcel — solo owner & data steward (tech comfort 4/5). Also: a future
agent re-running the pipeline; and the `MassImportService` as the downstream consumer.
**Non-Goals (explicitly out of scope).**
- NG1 — Changing `MassImportService` or the DB schema (that is Phase 2).
- NG2 — Uploading/attaching the ~7,000 PDFs (they arrive later; import matches by `index`).
- NG3 — A GUI. The interface is spreadsheets in, CSVs out, an overrides file hand-edited.
- NG4 — Perfect genealogical reconstruction. We resolve confidently-matchable people; the
long tail stays as provisional persons.
- NG5 — OCR/transcription content (the new xlsx has no transcription column).
**Key assumptions.** (A1) Sheet `Familienarchiv` is the document source of truth.
(A2) Archive date range is **18731957** (drives the 2-digit-year century rule).
(A3) `index` is the stable document key and the basis for future PDF matching.
(A4) `Schlagwort` is a broad tag; `Inhalt` is a short summary/topic.
**Risks.** (R1) 2-digit/partial dates are genuinely ambiguous → mitigated by precision flag
+ overrides. (R2) Name matching false-positives merge distinct people → mitigated by
conservative matching + review before merge. (R3) Source spreadsheet may be re-exported with
layout drift → mitigated by header-name-based mapping, not fixed indices.
---
## 2. Personas
**Marcel — Data Steward.** Role: solo owner of Familienarchiv. Context: holds the complete
raw archive; PDFs follow. Tech comfort: 4/5 (semi-technical, reads CSV/spreadsheets fluently,
not keen to hand-edit 7,600 rows). Primary goal: a clean, importable dataset he trusts.
Frustrations: dates in ~20 formats; one ancestor under 4 name variants. **JTBD:** *"When I
have raw, human-curated archive spreadsheets, I want to transform them into a clean importable
dataset without losing how things were originally written, so I can load the archive and keep
correcting edge cases as they surface."*
**The Returning Agent.** Role: a future assistant session resuming the work. Goal: re-run the
pipeline deterministically and understand exactly what still needs human input. **JTBD:**
*"When I pick this up cold, I want one command and a clear residue report, so I can continue
without re-deriving context."*
---
## 3. Constraints & Decisions Already Made
These were settled during brainstorming and are fixed inputs to the requirements below.
| # | Decision | Rationale |
| --- | --- | --- |
| C1 | **New canonical layout** with explicit headers (not the old positional ODS shape). | Fits the new data; importer becomes header-driven in Phase 2. |
| C2 | Dates stored as **parsed (nullable) + raw + precision**. | Historical archive; never lose the original; enable "ca. 1916". |
| C3 | **Include person resolution** (register + alias/marriage map → canonical persons) in this effort. | Maiden-name dedup needs the register. |
| C4 | **Overrides-file + re-run** loop for residue. | Deterministic, diffable, repeatable. |
| C5 | Implementation: **Python 3.12 + openpyxl**, standalone tool at `tools/import-normalizer/`. | Fast iteration; no Spring rebuild / coverage gate on transform code. |
| C6 | Century rule for archive **18731957**: 2-digit `0057``19YY`, `7399``18YY`, `5872`→**flag**; 3-digit `DDD``1DDD`; never 20xx. | Stated by Marcel. Boundaries live in config. |
| C7 | `Schlagwort`→tag, `Inhalt`→summary. | Matches importer's existing semantics. |
| C8 | Non-register correspondents become **provisional persons**. | ~945 distinct sender strings vs 163 register people. |
---
## 4. Functional Requirements
Each requirement has a stable ID. User stories use Connextra + Given-When-Then; system rules
use EARS. Traceability to findings in §8.
### 4.1 Ingest & layout (`FR-INGEST`, `FR-MAP`)
**US-MAP-01** — *As the data steward, I want each source column mapped to a named canonical
field regardless of its position, so a re-exported spreadsheet with shifted columns still
imports correctly.*
- AC1 — Given the `Familienarchiv` sheet, when the normalizer reads the header row, then it
maps columns by **header name** (not fixed index) to the canonical fields.
- AC2 — Given a header the normalizer does not recognise, when it runs, then it records the
unknown header in `review/summary.txt` and continues (does not crash).
- AC3 — Given a required source header is **absent**, when it runs, then it aborts with a
clear message naming the missing header (fail loud, before producing partial output).
- **REQ-INGEST-01** — The normalizer shall read only the `Familienarchiv` sheet of the
document workbook and the `Tabelle1` sheet of the person workbook.
- **REQ-MAP-01** — Header matching shall be case-insensitive and tolerant of internal
multiple spaces (e.g. `"Datum des Briefes"`).
### 4.2 Row triage (`FR-TRIAGE`) — resolves IMP-06, IMP-07, IMP-08
**US-TRIAGE-01** — *As the data steward, I want rows that have data but no index surfaced
rather than dropped, so I never lose a letter silently.*
- AC1 — Given a row whose `index` is blank but which has any other non-empty cell, when the
normalizer runs, then that row is written to `review/blank-index-rows.csv` with its source
row number and is **not** emitted as a canonical document.
- AC2 — Given a fully empty row, when it runs, then the row is skipped and counted (not
reported as an anomaly).
- **REQ-TRIAGE-01** — If two or more rows resolve to the same `index`, then the normalizer
shall emit all of them to `review/duplicate-index.csv` and mark each canonical row
`needs_review = duplicate_index` (it shall **not** silently drop either).
- **REQ-TRIAGE-02** — Where a row is identified as a section/banner row (blank index, text
only in a name column), the normalizer shall classify it as such in the blank-index report.
- **REQ-TRIAGE-03** — Rows whose `index` ends in `x` (a transcription/back-side of the base
letter, not yet independently mappable) shall be **skipped** — not emitted as a canonical
document — and written to `review/skipped-x-suffix.csv` with their source row and base index
(`index` minus the trailing `x`), so they can be linked in a later pass. (Resolves IMP-10.)
### 4.3 Date normalization (`FR-DATE`) — resolves IMP-02, IMP-03
**US-DATE-01** — *As the data steward, I want every date interpreted as precisely as the
source allows, with the original always kept, so I can sort the archive and still see what the
letter actually said.*
- AC1 — Given a parseable date, when normalized, then `date_iso` holds the best-effort ISO
date, `date_raw` holds the verbatim source string, and `date_precision`
`{DAY, MONTH, SEASON, YEAR, RANGE, APPROX, UNKNOWN}`.
- AC2 — Given an unparseable date, when normalized, then `date_iso` is empty,
`date_precision = UNKNOWN`, `date_raw` is preserved, and the value appears in
`review/unparsed-dates.csv`.
- AC3 — Given the same `date_raw` appears in `overrides/dates.csv`, when normalized, then the
override's `(iso, precision)` wins over the automatic parse.
- **REQ-DATE-01** — The parser shall accept, at minimum, these forms (see §10 examples):
Excel/ISO; `D.M.YYYY`/`D.M.YY`; `D/M. YY[YY]` (slash treated as dot); Roman-numeral months
`IXII`; German + English month names, full and abbreviated, with or without a separating
space; `Month YYYY`; season/holiday + year; bare `YYYY`; and start-anchored ranges.
- **REQ-DATE-02** — Precision shall be assigned by what is known: full day → `DAY`; month+year
`MONTH` (day = 1); a **named feast/holiday + year** → resolved to its **actual calendar
date for that year** → `DAY`; a **season + year** → representative mid-season month (day = 1)
`SEASON`; year only → `YEAR` (month = Jan, day = 1); a range → start date + `RANGE`; a
value carrying an uncertainty marker (`?`, `um`, `ca`, `circa`) → `APPROX` with best-effort date.
- **REQ-DATE-03** — Two-digit and three-digit years shall be expanded per **C6**; a 2-digit
year in `5872` shall yield `UNKNOWN` + a review entry rather than a guess.
- **REQ-DATE-04** — Trailing editorial notes (e.g. `", 2. Brief"`) shall be stripped before
parsing and preserved (kept within `date_raw`; not invented into the date).
- **REQ-DATE-05** — The parser shall be pure and side-effect-free so it can be unit-tested in
isolation (see NFR-TEST-01).
- **REQ-DATE-06** — **Movable feasts are never mapped to a fixed month**; they shall be
computed per year from Easter (Gauss/Butcher computus): Karfreitag = Easter2, Ostern =
Easter Sunday, Himmelfahrt = Easter+39, Pfingst(sonntag) = Easter+49, Pfingstmontag =
Easter+50, Fronleichnam = Easter+60, 1.4. Advent = the 4th…1st Sunday before 25 Dec. Fixed
feasts use a lookup table (Neujahr=01-01, Heiligabend=12-24, Weihnachten=12-25,
Silvester=12-31, …). Seasons map to representative months: Frühling/Frühjahr=Apr, Sommer=Jul,
Herbst=Oct, Winter=Jan. The feast/season tables and Easter algorithm live in `config.py`
(NFR-MAINT-01).
- **REQ-DATE-07** — **Intra-month day ranges carry an end day; half-resolved ranges are
flagged.** For a day range like `7./8. Sept.1923`, `date_iso` holds the start day, the end
day is resolved against the shared month/year into `date_end`, and `date_precision` =
`RANGE`. If the **start** parses but the **end day is impossible** (e.g. `10./40.1.1917`),
the row keeps the start and `RANGE` precision, leaves `date_end` **empty**, and is flagged
`needs_review = range_end_unparsed` — the unparseable end is dropped honestly (surfaced for
review), never silently invented or clamped. A `RANGE` row **may** therefore legitimately
have an empty `date_end`; the importer must treat `date_end` as optional even on a `RANGE`.
### 4.4 Person resolution & dedup (`FR-PERS`, `FR-DEDUP`) — resolves IMP-04, IMP-05, IMP-11
**US-PERS-01** — *As the data steward, I want the genealogical register turned into canonical
people with all their known facts, so documents can link to real persons.*
- AC1 — Given a register row, when parsed, then a canonical person is produced with
`person_id`, name parts, `maiden_name`, birth/death (parsed + raw + place), spouse,
generation, nickname, notes — applying the same date rules as §4.3 to birth/death dates.
- AC2 — Given multi-value given names (`"Charlotte,Meta,Jacobi"`), when parsed, then the
primary given name is the first; the remainder are retained as additional names/aliases.
**US-PERS-02** — *As the data steward, I want each sender/receiver string matched to a
canonical person where possible and never dropped otherwise, so the correspondence graph is
complete.*
- AC1 — Given a sender/receiver string, when resolved, then it maps to a register
`person_id` via the alias index (exact → normalized/casefold → conservative fuzzy).
- AC2 — Given no confident match, when resolved, then a **provisional person** is created from
the cleaned string, linked, and listed in `review/unmatched-names.csv` (occurrence count +
example source rows).
- AC3 — Given the string appears in `overrides/names.csv`, when resolved, then it maps to the
specified `person_id` (override wins).
- AC4 — Given a multi-person receiver cell (`"Eugenie u Walter de Gruyter"`, `"Herbert u
Clara"`, `"…//…"`, `"Hedi und Tutu (Gruber)"`), when resolved, then it is split into
individual people, each resolved independently; ambiguous space-joined pairs
(`"Ella Anita"`) are emitted to `review/ambiguous-receivers.csv` rather than guessed.
- **REQ-DEDUP-01** — The alias index shall be derived from the register: canonical
"First Last", maiden form (`geb als`), spouse-surname married form, nickname, and
first-name-only **only when unambiguous** across the register.
- **REQ-DEDUP-02** — The normalizer shall not merge two distinct strings into one person on
fuzzy similarity alone above a configured threshold without the match being reported; merges
must be auditable.
- **REQ-PERS-01** — Sender cells shall be parsed for multi-person content using the same rules
as receiver cells (today the importer parses only receivers — IMP-11).
### 4.5 Overrides & idempotency (`FR-OVR`) — supports the iteration loop
- **REQ-OVR-01** — When the normalizer runs, then it shall load `overrides/dates.csv` and
`overrides/names.csv` if present and apply them; absence of either file shall not be an error.
- **REQ-OVR-02** — While overrides are unchanged and inputs are unchanged, re-running shall
produce **byte-identical** canonical outputs and review files (NFR-IDEM-01).
- **REQ-OVR-03** — Each override application shall be counted in `review/summary.txt` (how many
dates/names were resolved by override vs automatically).
### 4.6 Canonical output & provenance (`FR-OUT`, `FR-PROV`) — resolves IMP-01, IMP-09, IMP-12
- **REQ-OUT-01** — The normalizer shall write `out/canonical-documents.xlsx` and
`out/canonical-persons.xlsx` with the headered schemas in §6.
- **REQ-PROV-01** — Every canonical document row shall carry `source_row` (1-based row number
in the source sheet) so any value can be traced back to the original.
- **REQ-PROV-02** — Every canonical row shall carry a `needs_review` field listing zero or more
flags (`duplicate_index`, `unparsed_date`, `unmatched_sender`, `unmatched_receiver`,
`index_file_mismatch`, …) so the import and the UI can foreground uncertain data.
- **REQ-OUT-02** — Where the source `Datei` path disagrees with the index-derived filename
(IMP-09), the normalizer shall record the discrepancy in `review/index-file-mismatch.csv`
and flag the row; it shall **not** alter the `index` (the stable key).
---
## 5. Non-Functional Requirements
| ID | Category | Requirement (measurable) |
| --- | --- | --- |
| NFR-DATA-01 | Data integrity | 100% of source rows are accounted for in output **or** a review file; 100% of original date/name strings preserved verbatim. |
| NFR-IDEM-01 | Determinism | Identical inputs + overrides ⇒ identical *logical* output across runs/machines: identical canonical cell matrices and review-file contents. Workbook `created`/`modified` metadata is pinned to a constant; ordering of all generated rows/aliases is stable (no set-iteration leakage). xlsx byte-identity is explicitly not required — determinism is asserted on content. |
| NFR-PERF-01 | Performance | Full run over 7,943 doc rows + 163 person rows completes in < 60 s on the dev laptop. |
| NFR-ACCUR-01 | Date accuracy | After automated pass, `UNKNOWN` dates ≤ 5% of dated rows; after overrides iteration, ≤ 0.5%. |
| NFR-ACCUR-02 | Name coverage | Every sender/receiver occurrence yields a linked person (register or provisional); 0 dropped. |
| NFR-I18N-01 | Encoding | UTF-8 end-to-end; German diacritics and ß round-trip with no mojibake in any output. |
| NFR-TEST-01 | Testability | `dates.py` and `persons.py` have pytest tests covering every format/alias category in §10 with real examples from the archive. |
| NFR-MAINT-01 | Maintainability | Column-name map, century boundaries, season→month map, and fuzzy threshold live in `config.py`, not inline in logic. |
| NFR-OBSERV-01 | Observability | `review/summary.txt` reports per-run stats: rows in, documents out, dates by precision, names matched vs provisional, overrides applied, anomalies by type. |
| NFR-SAFETY-01 | Source safety | Source workbooks are opened read-only and never written. |
---
## 6. Data Dictionary (canonical contract)
This is the contract Phase 2 (the importer) must consume. Field-level, format-level — not a
DB schema.
### 6.1 `canonical-documents.xlsx`
| Field | Required | Format / values | Notes |
| --- | --- | --- | --- |
| `index` | yes | string | Stable key; basis for PDF matching. |
| `file` | no | string | verbatim `Datei` value (e.g. `H-0730.pdf`); carried through for the importer to link the scanned PDF. |
| `box` | no | string | from `Box`. |
| `folder` | no | string | from `Mappe`. |
| `sender_person_id` | no | person_id | resolved; empty if no sender. |
| `sender_name` | no | string | canonical display name (or cleaned raw if provisional). |
| `receiver_person_ids` | no | `id\|id\|…` | pipe-separated. |
| `receiver_names` | no | `name\|name\|…` | pipe-separated, aligned with ids. |
| `date_iso` | no | `YYYY-MM-DD` | best-effort; empty if `UNKNOWN`. |
| `date_raw` | no | string | verbatim source date. |
| `date_precision` | yes | enum | `DAY\|MONTH\|SEASON\|YEAR\|RANGE\|APPROX\|UNKNOWN`. |
| `date_end` | no | `YYYY-MM-DD` or empty | RANGE end day (e.g. `7./8. Sept.1923` → `date_iso` = start, `date_end` = end). Empty for every non-RANGE precision **and** for a half-resolved RANGE whose end did not parse (see REQ-DATE-07). |
| `location` | no | string | from `Ort`. |
| `tags` | no | `tag\|tag` | from `Schlagwort`. |
| `summary` | no | string | from `Inhalt`. |
| `source_row` | yes | int | provenance (NFR-DATA-01). |
| `needs_review` | yes | `flag\|flag` or empty | review flags (REQ-PROV-02). Flags include `unparsed_date`, `range_end_unparsed` (half-resolved RANGE, REQ-DATE-07), `unmatched_sender`, `unmatched_receiver`, `multi_sender`, `index_file_mismatch`, `duplicate_index`. |
### 6.2 `canonical-persons.xlsx`
| Field | Required | Format | Notes |
| --- | --- | --- | --- |
| `person_id` | yes | slug | stable id (e.g. `de-gruyter-eugenie`); collisions suffixed. |
| `last_name` | yes | string | from `Familienname`. |
| `first_name` | no | string | primary given name. |
| `maiden_name` | no | string | from `geb als` — drives dedup. |
| `title` | no | string | e.g. honorifics if present. |
| `nickname` | no | string | from quoted `Bemerkung`/spouse field. |
| `birth_date` / `birth_date_raw` / `birth_place` | no | ISO / string / string | §4.3 rules. |
| `death_date` / `death_date_raw` / `death_place` | no | ISO / string / string | §4.3 rules. |
| `spouse` | no | person_id or name | from `verheiratet mit`. |
| `generation` | no | string | `G 1`..`G 4`. |
| `notes` | no | string | from `Bemerkung`. |
| `aliases` | no | `a\|b\|c` | every surface form that maps here. |
| `provisional` | yes | bool | true if created from a document string, not the register. |
### 6.3 `canonical-persons-tree.json`
The de-duplicated genealogical tree (family members + their relationships) the importer
uses to seed the family graph. Each `persons[]` entry carries a `personId` that **joins
1:1 onto** `person_id` in `canonical-persons.xlsx`.
| Field | Required | Format | Notes |
| --- | --- | --- | --- |
| `personId` | yes | slug | The register's **verbatim** `person_id` (e.g. `cram-hans-1`), propagated — never re-slugified — so collision suffixes match `canonical-persons.xlsx` exactly. Every tree `personId` exists in the register; the register is the sole slug authority. |
| `firstName` / `lastName` / `maidenName` | first/last yes | string | name parts. |
| `birthYear` / `deathYear` | no | int or null | year only (tree granularity). |
| `birthPlace` / `deathPlace` | no | string or null | from the register. |
| `generation` | no | int or null | parsed from `G n`. |
| `notes` | no | string or null | leftover Bemerkung text after relationship extraction. |
| `familyMember` | yes | bool | always true for tree persons. |
A top-level `generated_at` is pinned to a fixed timestamp (`2020-01-01T00:00:00`) for
reproducibility (NFR-IDEM-01), not a wall-clock value. `relationships[]` carry `SPOUSE_OF`
and `PARENT_OF` edges keyed by `rowId`; `unresolved[]` lists relationship strings that did
not match a tree person.
---
## 7. Prioritized Backlog (MoSCoW)
| ID | Item | MoSCoW | Effort | Depends on |
| --- | --- | --- | --- | --- |
| B1 | Project scaffolding + read both workbooks (`FR-INGEST`, header map `FR-MAP`) | Must | S | — |
| B2 | Row triage + blank/duplicate/empty reports (`FR-TRIAGE`) | Must | S | B1 |
| B3 | Date parser + precision + century rule + Easter/feast computus + season map + tests (`FR-DATE`) | Must | L | B1 |
| B4 | Person register parser → canonical persons (`FR-PERS` US-PERS-01) | Must | M | B1 |
| B5 | Alias index + name resolution + multi-person split (`FR-DEDUP`, US-PERS-02) | Must | L | B4 |
| B6 | Overrides load + apply + idempotency (`FR-OVR`) | Must | S | B3,B5 |
| B7 | Canonical writers + provenance + review summary (`FR-OUT`, `FR-PROV`) | Must | M | B2,B3,B5 |
| B8 | Index↔Datei mismatch report (`REQ-OUT-02`) | Should | XS | B1 |
| B9 | Ambiguous-receiver review path (US-PERS-02 AC4) | Should | S | B5 |
| B10 | Comma-split `Inhalt` into extra tags | Could | XS | B7 |
| B11 | Phase-2 importer wiring (separate spec) | Won't (this spec) | — | B7 |
---
## 8. Traceability — Findings → Requirements
| Finding | Severity | Addressed by |
| --- | --- | --- |
| IMP-01 layout mismatch | blocker | C1, FR-MAP, REQ-OUT-01 |
| IMP-02 free-text dates | blocker | FR-DATE (all), C2, C6 |
| IMP-03 no ISO/normalized cols | blocker | FR-DATE, FR-PERS |
| IMP-04 register unimported | major | C3, US-PERS-01, §6.2 |
| IMP-05 name variants → dupes | major | C3, FR-DEDUP |
| IMP-06 blank-index dropped | major | US-TRIAGE-01 |
| IMP-07 duplicate indices | minor | REQ-TRIAGE-01 |
| IMP-08 section rows / tags vs summary | minor | REQ-TRIAGE-02, C7 |
| IMP-09 index↔file mismatch | minor | REQ-OUT-02, B8 |
| IMP-10 `x`-suffix rows | minor | REQ-TRIAGE-03 (skip + log this pass) |
| IMP-11 sender not split / ` u ` sep | minor | REQ-PERS-01, US-PERS-02 AC4 |
| IMP-12 first-sheet, no validation | minor | REQ-INGEST-01, FR-MAP AC2/AC3 |
---
## 9. Open Questions / TBD Register
| ID | Question | Why it matters | Ref | Resolution |
| --- | --- | --- | --- | --- |
| OQ-01 ✅ | Season/holiday → date. | Accuracy of ~70 SEASON/feast rows. | REQ-DATE-06 | **Resolved (2026-05-25):** movable feasts (Ostern, Pfingsten, Himmelfahrt, Advent, …) **computed per year from Easter — never a fixed month**; fixed feasts looked up (Weihnachten=12-25, Neujahr=01-01, …); seasons = mid-season month (Frühling=Apr, Sommer=Jul, Herbst=Oct, Winter=Jan). |
| OQ-02 ✅ | Date ranges: start only, or start+end? | Sorting/display of ~315 range values. | REQ-DATE-02, REQ-DATE-07 | **Confirmed (updated #670):** store **start** in `date_iso`, precision `RANGE`, full text in `date_raw`, **and the resolved end day in `date_end`** for intra-month day ranges. A half-resolved range (start parsed, end impossible) keeps `date_end` empty and is flagged `range_end_unparsed`. |
| OQ-03 ✅ | `person_id` format. | Stability across re-runs; diffability. | §6 | **Confirmed:** readable slug `lastname-firstname`, numeric suffix on collision. |
| OQ-04 ✅ | `x`-suffix row handling. | 42 rows. | REQ-TRIAGE-03 | **Resolved (2026-05-25):** `x` rows are transcriptions of the base letter but not yet mappable → **skip this pass**, log to `review/skipped-x-suffix.csv` for later linking. |
| OQ-05 ✅ | Importer output format. | Phase-2 reader. | B11 | **Confirmed:** `.xlsx` (openpyxl-native, headered). |
| OQ-06 ✅ | Fuzzy-match policy. | False-positive person merges (R2). | REQ-DEDUP-02 | **Confirmed:** conservative — report all fuzzy matches; no silent merge. |
*All open questions resolved as of 2026-05-25. New ambiguities discovered during build go here.*
---
## 10. Glossary & Worked Examples
**Precision** — how exactly a date is known (`DAY` … `UNKNOWN`). **Provisional person** — a
person created from a document name string with no register match. **Alias index** — map from
every known surface form of a name to a canonical `person_id`. **Override** — a
human-supplied correction applied deterministically on each run.
**Date examples → expected outcome:**
| `date_raw` | `date_iso` | `date_precision` |
| --- | --- | --- |
| `15.2.1888` | 1888-02-15 | DAY |
| `6.März 1888` | 1888-03-06 | DAY |
| `22.III.18` | 1918-03-22 | DAY |
| `13.5.09` | 1909-05-13 | DAY |
| `10.Oct.95` | 1895-10-10 | DAY |
| `17/6. 1916` | 1916-06-17 | DAY |
| `Mai 1895` | 1895-05-01 | MONTH |
| `Pfingsten 1922` | 1922-06-04 | DAY (computed: Easter 1922 = Apr 16, +49 days) |
| `Herbst 1913` | 1913-10-01 | SEASON |
| `1905` | 1905-01-01 | YEAR |
| `8.1.1916 - 15.3.1916` | 1916-01-08 | RANGE |
| `17.Nov (?) 1887` | 1887-11-17 | APPROX |
| `?` | *(empty)* | UNKNOWN |
**Name examples → expected outcome:**
| raw cell | resolves to |
| --- | --- |
| `Eugenie Müller` (+ register `geb Müller`) | `de-gruyter-eugenie` (matched via maiden alias) |
| `Eugenie de Gruyter` | `de-gruyter-eugenie` |
| `Herbert u Clara` | `cram-herbert` + `cram-clara` (split, surname distributed) |
| `Hedi und Tutu (Gruber)` | `gruber-hedi` + `gruber-tutu` |
| `Ella Anita` | → `review/ambiguous-receivers.csv` (not auto-split) |
| `Hans Wittkopf` (not in register) | provisional `wittkopf-hans` |

File diff suppressed because it is too large Load Diff

View File

@@ -1,502 +0,0 @@
# Unresolved-Name Classification Implementation Plan
> **For agentic workers:** REQUIRED SUB-SKILL: Use superpowers:subagent-driven-development (recommended) or superpowers:executing-plans to implement this plan task-by-task. Steps use checkbox (`- [ ]`) syntax for tracking.
**Goal:** Add a focused `review/unresolved-names.csv` that isolates sender/receiver strings whose *name itself* is problematic (unknown/illegible, single-token, relational-only, collective/group, prose-in-name-column, or a genuine two-given-name pair), and fix the ambiguous-pair heuristic so a plain `First Surname` external person (e.g. `Mieze Schefold`) is no longer falsely flagged.
**Architecture:** A pure `classify_name(raw, given_names)` function in `persons.py` returns a `NameClass`. `ResolutionContext` classifies every *unmatched* name and records the non-`RESOLVABLE` ones in `self.unresolved`. A runtime-built given-name set (register first names + a small config supplement) lets the classifier distinguish a two-given-name pair (`Ella Anita` → two people) from a first+surname single person (`Mieze Schefold`). The orchestrator writes the aggregated report and per-category stats, replacing the noisy `ambiguous-receivers.csv`.
**Tech Stack:** Python 3.12, openpyxl, pytest — extends the existing `tools/import-normalizer/`.
**Context:** This builds on the completed normalizer (PR #663). Run all tests with CWD = the tool dir, e.g. `cd tools/import-normalizer && .venv/bin/python -m pytest tests/test_X.py -v`. Reuse the existing venv at `tools/import-normalizer/.venv` (do NOT recreate it). Commit on the current branch `docs/import-migration` (never main, never push). Each commit message ends with a trailing `Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>` line.
---
## File Structure
```
tools/import-normalizer/
├── config.py # + RELATIONAL_TERMS, COLLECTIVE_TERMS, UNKNOWN_NAME_MARKERS, PROSE_MAX_LEN, EXTRA_GIVEN_NAMES
├── persons.py # + NameClass, classify_name(), build_given_names(); ResolutionContext gains given_names + self.unresolved
├── normalize.py # writes unresolved-names.csv (replaces ambiguous-receivers.csv) + per-category stats
├── README.md # + unresolved-names.csv row in the review-file table
└── tests/
├── test_config.py # + name-table presence test
├── test_persons.py # + classify_name + build_given_names tests
├── test_documents.py # ambiguous test → unresolved test (+ resolvable-pair test)
└── test_normalize.py # integration asserts unresolved-names.csv
```
---
### Task 1: Config — name-classification tables
**Files:**
- Modify: `tools/import-normalizer/config.py`
- Modify: `tools/import-normalizer/tests/test_config.py`
- [ ] **Step 1: Add the failing test** to `tests/test_config.py`
```python
def test_name_classification_tables():
assert "tante" in config.RELATIONAL_TERMS
assert "familie" in config.COLLECTIVE_TERMS
assert "unbekannt" in config.UNKNOWN_NAME_MARKERS
assert config.PROSE_MAX_LEN >= 30
assert "anita" in config.EXTRA_GIVEN_NAMES
```
- [ ] **Step 2: Run to verify it fails**
Run: `cd tools/import-normalizer && .venv/bin/python -m pytest tests/test_config.py::test_name_classification_tables -v && cd -`
Expected: FAIL — `AttributeError: module 'config' has no attribute 'RELATIONAL_TERMS'`.
- [ ] **Step 3: Implement** — append to `config.py` (after the existing tables, before/after `KNOWN_LAST_NAMES` — anywhere at module level)
```python
# --- Name classification (unresolved-name review) ---
# Relational reference terms — a sender/receiver named by relation, not a proper name.
RELATIONAL_TERMS = {
"tante", "onkel", "mutter", "vater", "oma", "opa", "großmutter", "grossmutter",
"großvater", "grossvater", "schwester", "bruder", "cousin", "cousine", "kusine",
"neffe", "nichte", "tochter", "sohn", "schwager", "schwägerin", "schwiegermutter",
"schwiegervater", "enkel", "enkelin", "vetter", "base", "witwe", "witwer",
}
# Collective/group terms — not a single person. Matched against alpha-only word tokens
# (so "Fam.Cram" -> ["fam","cram"] matches "fam"), NOT as substrings/prefixes.
COLLECTIVE_TERMS = {
"familie", "fam", "kinder", "eltern", "geschwister", "großeltern",
"grosseltern", "alle", "diverse", "div", "gebrüder", "gebr",
}
# Markers of an unknown/illegible name (the literal "?" is handled separately in code).
# All long enough to be safe as SUBSTRING matches — do NOT add short tokens like "nn"
# (it occurs inside real names: Hanni, Johanna, Anna).
UNKNOWN_NAME_MARKERS = {"unbekannt", "unbek", "unleserlich", "unklar", "unsicher"}
# A name-column value longer than this (chars) is treated as prose/description, not a name.
PROSE_MAX_LEN = 40
# Common given names that may appear in two-given-name pairs (e.g. "Ella Anita") but are not
# in the family register. Only used to detect AMBIGUOUS_PAIR — extend as review surfaces more.
EXTRA_GIVEN_NAMES = {
"ella", "anita", "kurt", "georg", "hanni", "mieze", "ellen", "leni", "klara",
"margret", "gustava", "emmy", "minna", "sophie", "helga", "raymonde", "augusta",
}
```
- [ ] **Step 4: Run to verify it passes**
Run: `cd tools/import-normalizer && .venv/bin/python -m pytest tests/test_config.py -v && cd -`
Expected: PASS (all config tests).
- [ ] **Step 5: Commit**
```bash
git add tools/import-normalizer/config.py tools/import-normalizer/tests/test_config.py
git commit -m "feat(normalizer): config tables for name classification"
```
---
### Task 2: `classify_name` + `NameClass`
**Files:**
- Modify: `tools/import-normalizer/persons.py`
- Modify: `tools/import-normalizer/tests/test_persons.py`
- [ ] **Step 1: Add failing tests** to `tests/test_persons.py`
```python
from persons import NameClass
GIVEN = {"ella", "anita", "kurt", "georg", "clara", "eugenie"}
def test_classify_unknown():
assert persons.classify_name("?", GIVEN) is NameClass.UNKNOWN
assert persons.classify_name("A. Kredell?", GIVEN) is NameClass.UNKNOWN
assert persons.classify_name("unbekannt", GIVEN) is NameClass.UNKNOWN
def test_classify_prose():
assert persons.classify_name("Adressenliste v Clara Cram zur Kondolenz", GIVEN) is NameClass.PROSE
assert persons.classify_name("Clara de Gruyter(*1871)", GIVEN) is NameClass.PROSE # digit
assert persons.classify_name('"Cramiade" Gedicht', GIVEN) is NameClass.PROSE # quote
def test_classify_collective():
assert persons.classify_name("Familie", GIVEN) is NameClass.COLLECTIVE
assert persons.classify_name("Fam.Cram", GIVEN) is NameClass.COLLECTIVE
assert persons.classify_name("Eltern Cram", GIVEN) is NameClass.COLLECTIVE
assert persons.classify_name("seine Kinder", GIVEN) is NameClass.COLLECTIVE
def test_classify_relational():
assert persons.classify_name("Cousine Emmy Haniel", GIVEN) is NameClass.RELATIONAL
assert persons.classify_name("Schwester Hanni", GIVEN) is NameClass.RELATIONAL
def test_classify_single_token():
assert persons.classify_name("Agnes", GIVEN) is NameClass.SINGLE_TOKEN
assert persons.classify_name("A.B.", GIVEN) is NameClass.SINGLE_TOKEN
def test_classify_ambiguous_pair():
assert persons.classify_name("Ella Anita", GIVEN) is NameClass.AMBIGUOUS_PAIR
assert persons.classify_name("Kurt Georg", GIVEN) is NameClass.AMBIGUOUS_PAIR
def test_classify_resolvable_single_person():
# first + surname (surname not a given name) -> one real person, NOT ambiguous
assert persons.classify_name("Mieze Schefold", GIVEN) is NameClass.RESOLVABLE
assert persons.classify_name("Adolf Butenandt", GIVEN) is NameClass.RESOLVABLE
```
- [ ] **Step 2: Run to verify it fails**
Run: `cd tools/import-normalizer && .venv/bin/python -m pytest tests/test_persons.py -k classify -v && cd -`
Expected: FAIL — `NameClass` / `classify_name` not defined.
- [ ] **Step 3: Implement** — add to `persons.py`. Add `from enum import StrEnum` to the imports if not present, then add:
```python
class NameClass(StrEnum):
RESOLVABLE = "resolvable"
UNKNOWN = "unknown"
SINGLE_TOKEN = "single_token"
RELATIONAL = "relational"
COLLECTIVE = "collective"
PROSE = "prose"
AMBIGUOUS_PAIR = "ambiguous_pair"
_QUOTE_CHARS = "\"'“”„‚‘’"
def classify_name(raw: str, given_names: set[str]) -> NameClass:
"""Classify a (post-split) sender/receiver string by why it may be unresolvable.
Precedence (first match wins): UNKNOWN -> PROSE -> COLLECTIVE -> RELATIONAL ->
SINGLE_TOKEN -> AMBIGUOUS_PAIR -> RESOLVABLE.
"""
s = raw.strip()
if not s:
return NameClass.RESOLVABLE
low = s.lower()
tokens = s.split()
# alpha-only word tokens: "Fam.Cram" -> ["fam","cram"], so collective/relational terms
# are matched as whole words (no substring/prefix false positives like "Allerton").
alpha_words = re.findall(r"[a-zäöüß]+", low)
if "?" in s or any(m in low for m in config.UNKNOWN_NAME_MARKERS):
return NameClass.UNKNOWN
if (len(s) > config.PROSE_MAX_LEN or any(c.isdigit() for c in s)
or any(q in s for q in _QUOTE_CHARS) or len(tokens) > 3):
return NameClass.PROSE
if any(w in config.COLLECTIVE_TERMS for w in alpha_words):
return NameClass.COLLECTIVE
if any(w in config.RELATIONAL_TERMS for w in alpha_words):
return NameClass.RELATIONAL
if len(tokens) == 1:
return NameClass.SINGLE_TOKEN
if len(tokens) == 2 and all(_norm(t) in given_names for t in tokens):
return NameClass.AMBIGUOUS_PAIR
return NameClass.RESOLVABLE
# Known limitation: a 4+-token name with no digits/quotes (e.g. "Anna von der Heide") is
# classified PROSE. Such multi-particle names are rare here and usually resolve via the
# register; if they surface in review, lower-priority than the real prose entries.
```
> Note: `_norm` already exists in `persons.py` (added in the alias-index task) and strips accents + lowercases. `classify_name` uses it so given-name matching is accent-insensitive.
- [ ] **Step 4: Run to verify it passes**
Run: `cd tools/import-normalizer && .venv/bin/python -m pytest tests/test_persons.py -v && cd -`
Expected: PASS (all persons tests, including the 7 new classify tests).
- [ ] **Step 5: Commit**
```bash
git add tools/import-normalizer/persons.py tools/import-normalizer/tests/test_persons.py
git commit -m "feat(normalizer): classify_name + NameClass"
```
---
### Task 3: `build_given_names`
**Files:**
- Modify: `tools/import-normalizer/persons.py`
- Modify: `tools/import-normalizer/tests/test_persons.py`
- [ ] **Step 1: Add failing test** to `tests/test_persons.py`
```python
def test_build_given_names():
people = persons.parse_register([
{"last_name": "de Gruyter", "first_name": "Eugenie"},
{"last_name": "Cram", "first_name": "Charlotte,Meta"}, # comma -> primary + extra given
])
g = persons.build_given_names(people, {"Anita"})
assert "eugenie" in g
assert "charlotte" in g and "meta" in g # primary + extra given names
assert "anita" in g # from the extra set, normalized
assert "schefold" not in g
```
- [ ] **Step 2: Run to verify it fails**
Run: `cd tools/import-normalizer && .venv/bin/python -m pytest tests/test_persons.py::test_build_given_names -v && cd -`
Expected: FAIL — `build_given_names` not defined.
- [ ] **Step 3: Implement** — add to `persons.py`
```python
def build_given_names(register: list[Person], extra: set[str]) -> set[str]:
"""Set of normalized given names from the register (first + extra given) plus a supplement.
Used by classify_name to tell a two-given-name pair (two people) from a first+surname.
"""
names: set[str] = set()
for p in register:
if p.first_name:
names.add(_norm(p.first_name))
for g in p.extra_given_names:
names.add(_norm(g))
for e in extra:
names.add(_norm(e))
return names
```
- [ ] **Step 4: Run to verify it passes**
Run: `cd tools/import-normalizer && .venv/bin/python -m pytest tests/test_persons.py -v && cd -`
Expected: PASS.
- [ ] **Step 5: Commit**
```bash
git add tools/import-normalizer/persons.py tools/import-normalizer/tests/test_persons.py
git commit -m "feat(normalizer): build_given_names from register + supplement"
```
---
### Task 4: Integrate — ResolutionContext records unresolved; orchestrator writes the report
This task touches `persons.py`, `normalize.py`, and two test files together so the whole suite stays green in one commit (removing `ctx.ambiguous` requires updating its only consumer, `normalize.py`, in the same change).
**Files:**
- Modify: `tools/import-normalizer/persons.py` (ResolutionContext)
- Modify: `tools/import-normalizer/normalize.py`
- Modify: `tools/import-normalizer/tests/test_documents.py`
- Modify: `tools/import-normalizer/tests/test_normalize.py`
- [ ] **Step 1: Update the failing tests first**
In `tests/test_documents.py`, **replace** the existing `test_ambiguous_space_pair_flagged_not_split` function entirely with these two functions:
```python
def test_ambiguous_pair_recorded_in_unresolved():
people = persons.parse_register([{"last_name": "de Gruyter", "first_name": "Walter"}])
ctx = persons.ResolutionContext(persons.AliasIndex(people), name_overrides={},
given_names={"ella", "anita"})
raw = documents.RawRow(source_row=7, index="C-0200", sender="", receivers="Ella Anita")
doc = documents.to_canonical(raw, ctx, date_overrides={})
assert len(doc.receiver_person_ids) == 1 # not split — one provisional
assert any(name == "Ella Anita" and cat == "ambiguous_pair" for name, cat, _ in ctx.unresolved)
def test_resolvable_first_surname_pair_not_unresolved():
ctx = persons.ResolutionContext(persons.AliasIndex([]), name_overrides={},
given_names={"ella", "anita"})
ctx.resolve_one("Mieze Schefold", source_row=1) # surname is not a given name
assert ctx.unresolved == [] # RESOLVABLE -> not recorded
```
In `tests/test_normalize.py`, in the `_doc_wb` fixture, change the `C-0001` row's receiver from empty to `"?"` so the run produces an unresolved entry. Find the line that appends the `C-0001` row and set its `EmpfängerIn` cell to `"?"`. For example the row currently reads:
```python
ws.append(["C-0001", "", "", "", "Hans Wittkopf", "", "Freitag 1919", "", "", ""])
```
change the 6th cell (EmpfängerIn) from `""` to `"?"`:
```python
ws.append(["C-0001", "", "", "", "Hans Wittkopf", "?", "Freitag 1919", "", "", ""])
```
Then add these assertions inside `test_run_end_to_end`, right after the existing `assert (review_dir / "unparsed-dates.csv").exists()` line:
```python
assert (out_dir / "canonical-documents.xlsx").exists() # (keep existing asserts above)
assert (review_dir / "unresolved-names.csv").exists()
unresolved_text = (review_dir / "unresolved-names.csv").read_text(encoding="utf-8")
assert "unknown" in unresolved_text and "?" in unresolved_text # the "?" receiver
assert not (review_dir / "ambiguous-receivers.csv").exists() # replaced
```
- [ ] **Step 2: Run to verify they fail**
Run: `cd tools/import-normalizer && .venv/bin/python -m pytest tests/test_documents.py tests/test_normalize.py -v && cd -`
Expected: FAIL — `ResolutionContext` has no `given_names`/`unresolved`; `unresolved-names.csv` not written.
- [ ] **Step 3a: Implement — `ResolutionContext` in `persons.py`**
Replace the `ResolutionContext.__init__` body's two lines (`self.ambiguous` and add `given_names`) and the relevant methods. The new `__init__`:
```python
def __init__(self, alias_index: AliasIndex, name_overrides: dict[str, str],
given_names: set[str] | None = None):
self.index = alias_index
self.name_overrides = name_overrides
self.given_names = given_names or set()
self.provisional: dict[str, Person] = {}
self.unmatched: dict[str, list] = {}
self.unresolved: list[tuple] = [] # (raw_name, category, source_row) for non-RESOLVABLE names
self._raw_to_pid: dict[str, str] = {}
self.override_hits = 0
```
In `resolve_one`, the provisional branch must classify the name. Replace this existing block:
```python
# provisional person (unmatched) — never reuse a register id
self.unmatched.setdefault(name, []).append(source_row)
if name in self._raw_to_pid:
return self._raw_to_pid[name], name, False
```
with:
```python
# provisional person (unmatched) — never reuse a register id
self.unmatched.setdefault(name, []).append(source_row)
category = classify_name(name, self.given_names)
if category is not NameClass.RESOLVABLE:
self.unresolved.append((name, str(category), source_row))
if name in self._raw_to_pid:
return self._raw_to_pid[name], name, False
```
Replace the entire `resolve_receivers` method (the ambiguous detection now lives in `resolve_one` via `classify_name`):
```python
def resolve_receivers(self, raw: str, source_row: int):
return [self.resolve_one(part, source_row) for part in split_receivers(raw)]
```
- [ ] **Step 3b: Implement — `normalize.py`**
Find the line that builds the context:
```python
ctx = persons.ResolutionContext(alias_index, name_overrides)
```
replace it with (build the given-name set from the register + config supplement):
```python
given_names = persons.build_given_names(register, config.EXTRA_GIVEN_NAMES)
ctx = persons.ResolutionContext(alias_index, name_overrides, given_names=given_names)
```
Replace the `ambiguous-receivers.csv` write line:
```python
writers.write_review_csv(review_dir / "ambiguous-receivers.csv", ["raw", "part", "source_row"], ctx.ambiguous)
```
with an aggregated unresolved-names report:
```python
unresolved_agg: dict[tuple, list] = {}
for name, category, row in ctx.unresolved:
unresolved_agg.setdefault((category, name), []).append(row)
unresolved_rows = sorted(
([cat, name, len(rows), " ".join(map(str, sorted(rows)[:5]))]
for (cat, name), rows in unresolved_agg.items()),
key=lambda r: (r[0], -r[2], r[1]))
writers.write_review_csv(review_dir / "unresolved-names.csv",
["category", "raw", "count", "example_rows"], unresolved_rows)
```
In the `stats` dict, replace the `"ambiguous_receivers"` line:
```python
"ambiguous_receivers": len(ctx.ambiguous),
```
with a per-category breakdown:
```python
"unresolved_name_occurrences": len(ctx.unresolved),
"unresolved_unknown": sum(1 for _, c, _ in ctx.unresolved if c == "unknown"),
"unresolved_single_token": sum(1 for _, c, _ in ctx.unresolved if c == "single_token"),
"unresolved_relational": sum(1 for _, c, _ in ctx.unresolved if c == "relational"),
"unresolved_collective": sum(1 for _, c, _ in ctx.unresolved if c == "collective"),
"unresolved_prose": sum(1 for _, c, _ in ctx.unresolved if c == "prose"),
"unresolved_ambiguous_pair": sum(1 for _, c, _ in ctx.unresolved if c == "ambiguous_pair"),
```
- [ ] **Step 4: Run the whole suite to verify green**
Run: `cd tools/import-normalizer && .venv/bin/python -m pytest tests/ -q && cd -`
Expected: PASS (all tests, no `ambiguous` references remain).
Also grep to confirm no dangling references:
Run: `grep -rn "ctx.ambiguous\|ambiguous-receivers\|ambiguous_receivers\|self.ambiguous" tools/import-normalizer/*.py`
Expected: no matches.
- [ ] **Step 5: Commit**
```bash
git add tools/import-normalizer/persons.py tools/import-normalizer/normalize.py tools/import-normalizer/tests/test_documents.py tools/import-normalizer/tests/test_normalize.py
git commit -m "feat(normalizer): unresolved-names report + fix ambiguous-pair over-flagging"
```
---
### Task 5: README — document the new report
**Files:**
- Modify: `tools/import-normalizer/README.md`
- [ ] **Step 1: Update the review-file table** in `README.md`. Replace the `ambiguous-receivers.csv` row with an `unresolved-names.csv` row. Find the table row referencing `ambiguous-receivers.csv` and replace it with:
```markdown
| `unresolved-names.csv` | Names whose value is itself problematic, grouped by `category`: `unknown` (`?`/illegible), `single_token` (first OR last name only), `relational` (`Tante …`), `collective` (`Familie …`), `prose` (a description landed in a name column), `ambiguous_pair` (two given names → likely two people, not auto-split). Review highest-impact categories first; add decisions to `overrides/names.csv`. |
```
If the README has no such row (older version), add the row above to the review-file table.
- [ ] **Step 2: Add a note** to the iteration-loop section of `README.md` (after the table):
```markdown
> `unresolved-names.csv` is the focused "names that need a human" list — distinct from
> `unmatched-names.csv` (which is just non-family correspondents that got provisional persons).
> The given-name set that drives `ambiguous_pair` detection is the register's first names plus
> `config.EXTRA_GIVEN_NAMES` — add names there if a real two-person cell isn't being flagged.
```
- [ ] **Step 3: Verify the suite is still green** (README-only change, but confirm nothing references the old file)
Run: `cd tools/import-normalizer && .venv/bin/python -m pytest tests/ -q && cd -`
Expected: PASS.
- [ ] **Step 4: Commit**
```bash
git add tools/import-normalizer/README.md
git commit -m "docs(normalizer): document unresolved-names.csv review report"
```
---
## Self-Review
**Spec coverage** (against the agreed proposal):
- Focused report isolating problem name classes → Task 4 writes `review/unresolved-names.csv` with a `category` column; categories defined in Task 2 `classify_name`. ✓
- Fix ambiguous over-flagging of `First Surname` → Task 2 `AMBIGUOUS_PAIR` requires *both* tokens in the given-name set; `Mieze Schefold``RESOLVABLE` (tested). ✓
- Distinguish "not fully known" (unknown/single-token/relational/collective/prose) from "can't split cleanly" (ambiguous_pair) → all are `NameClass` values, each its own category column value. ✓
- Per-category counts in summary → Task 4 stats. ✓
- Senders covered too (not just receivers) → classification happens in `resolve_one`, which both `resolve_sender` and `resolve_receivers` call. ✓
**Placeholder scan:** No TBD/TODO; every code step has complete code. The README replacement gives the exact row text.
**Type consistency:** `NameClass` (StrEnum) defined Task 2; `classify_name(raw, given_names)` and `build_given_names(register, extra)` signatures used consistently in Task 4; `ResolutionContext(alias_index, name_overrides, given_names=…)` matches the new `__init__`; `self.unresolved` is `list[tuple]` of `(raw, category, source_row)` and read with that shape in both the report and the stats. `str(category)` yields the StrEnum value (e.g. `"ambiguous_pair"`), matching the stat comparisons and the test assertions.
**Cross-task green:** Task 4 deliberately bundles the `persons.py` + `normalize.py` + test changes into one commit because removing `ctx.ambiguous` breaks its consumer otherwise — no red commit is left behind (lesson from the prior build).
**Out of scope (future):** Spanish month names + `Mon DD-YYYY` date form (separate date-parser enhancement); promoting `unresolved` rows into a document-level `needs_review` flag; auto-splitting confirmed `ambiguous_pair` entries via overrides.

View File

@@ -1,62 +0,0 @@
# Import Migration — Working Folder
This folder tracks the iterative work of mass-importing the **real, raw family archive**
spreadsheets (≈7,600 letter rows + ~7,000 PDFs that arrive later) into Familienarchiv.
It is intentionally **local docs, not Gitea issues**. We only open a Gitea issue when a
finding requires a *software* change (e.g. a new date parser). Pure data observations and
the running plan live here so any agent can pick the work up cold.
## Source files (in `/import`)
| File | What it is | Importer support today |
| --- | --- | --- |
| `zzfamilienarchiv aktuell 2 - Kopie 2025-07-05.xlsx` | The **real raw archive** — 7,943 rows, sheet `Familienarchiv`. Human-readable, dates as written in the letters. | ❌ layout does **not** match importer defaults |
| `Personendatei 2.xlsx` | Genealogical **person register** — 163 people, sheet `Tabelle1` (maiden names, birth/death, marriages, relationships). | ❌ no importer at all |
| `zzfamilienarchiv Walter und Eugenie 2025-04-10.ods` | A small, **already-normalized** subset (Walter & Eugenie brautbriefe). 14 clean columns incl. ISO dates. | ✅ this is what `MassImportService` was built for |
The PDFs (~7,000) will follow later. The importer matches files by the **Index** column
(e.g. `W-0001``W-0001.pdf`), and already imports metadata-only when a file is missing —
so we can import all metadata now and the PDFs will attach on a re-run.
## How to inspect the spreadsheets
`openpyxl` is installed in the OCR service venv:
```bash
/home/marcel/Desktop/familienarchiv/ocr-service/.venv/bin/python3 -c "import openpyxl; print(openpyxl.__version__)"
```
## Documents in this folder
- [`01-findings-spreadsheet-analysis.md`](./01-findings-spreadsheet-analysis.md) — full analysis of every data-quality / importer issue found (2026-05-25). Each issue has an ID `IMP-NN`.
- [`02-normalization-spec.md`](./02-normalization-spec.md) — requirements spec for the offline **import normalizer** (the agreed strategy: normalize the raw sheets into a clean canonical dataset before import). Requirements `FR-*`/`NFR-*`, traceable to the `IMP-NN` findings.
- `WORKLOG.md` — running log of what each session did and what's next. **Start here when resuming.**
## Strategy (decided 2026-05-25)
Normalize **before** import. A standalone Python tool (`tools/import-normalizer/`, not yet
built) transforms the raw xlsx + person register into a clean canonical dataset
(`canonical-documents.xlsx`, `canonical-persons.xlsx`) plus review CSVs. Residual cases
(unparseable dates, unmatched names) are fixed via a version-controlled overrides file and
re-run. The Java importer is adjusted to consume the canonical contract in a later **Phase 2**.
See the spec for the full contract.
## Status board
| ID | Issue | Severity | Status |
| --- | --- | --- | --- |
| IMP-01 | New xlsx column layout ≠ importer defaults | 🔴 blocker | open |
| IMP-02 | 90% of dates are free-text the parser can't read | 🔴 blocker | open |
| IMP-03 | No ISO/normalized date column in the new xlsx | 🔴 blocker | open |
| IMP-04 | Person register (`Personendatei 2.xlsx`) not imported | 🟠 major | open |
| IMP-05 | Name variations = duplicate Persons (maiden vs married) | 🟠 major | open |
| IMP-06 | 93 data rows with blank Index are silently dropped | 🟠 major | open |
| IMP-07 | 43 duplicate Index values | 🟡 minor | open |
| IMP-08 | Section/title rows interleaved in data | 🟡 minor | open |
| IMP-09 | Index↔Datei filename mismatches | 🟡 minor | open |
| IMP-10 | `x`-suffix rows (letter backsides/enclosures) | 🟡 minor | open |
| IMP-11 | Multi-receiver separators incl. bare `u`/`u.` | 🟡 minor | open |
| IMP-12 | Importer reads only the first sheet, no validation | 🟡 minor | open |
See the findings doc for detail and proposed approach per issue.

View File

@@ -1,147 +0,0 @@
# Import Migration — Worklog
Running log of each working session. **Resume here.** Newest entry on top.
---
## 2026-05-25 (session 5) — Unresolved-name classification
**Did:** Implemented [`04-unresolved-names-plan.md`](./04-unresolved-names-plan.md) subagent-driven
(5 tasks, TDD, per-task spec + code-quality review; 67 tests pass). Added `classify_name` +
`NameClass` + `build_given_names` in `persons.py`; `ResolutionContext` now records non-RESOLVABLE
names in `self.unresolved`; orchestrator writes `review/unresolved-names.csv` (replaces the noisy
`ambiguous-receivers.csv`) with per-category stats.
**Why:** `unmatched-names.csv` mixes boring non-family correspondents (expected) with genuinely
unresolvable entries. The new report isolates the latter so review focuses on ~440 real cases.
**Real-run result:** unresolved-names.csv = single_token 191 / prose 103 / unknown 74 /
collective 46 / relational 21 / ambiguous_pair **5** (distinct). The ambiguous over-flagging fix
cut `ambiguous_pair` from 303 → 5 (genuine two-given-name pairs only; `Mieze Schefold` etc. now
correctly RESOLVABLE). given-name set = register first names `config.EXTRA_GIVEN_NAMES`.
**Next:** populate `overrides/names.csv` from unresolved-names.csv (highest-count first); extend
`EXTRA_GIVEN_NAMES` if a real pair isn't flagged; still-open date work (Spanish months, 5872 band).
---
## 2026-05-25 (session 4) — Built the normalizer (subagent-driven, all 17 tasks)
**Did:** Executed the plan subagent-driven (implementer + spec review + code-quality review per
task). The tool `tools/import-normalizer/` is **complete and passing (57 tests)**. Final
opus review: **READY** — determinism verified on the real corpus (two runs → identical cell
matrices + byte-identical review files), zero silent drops.
**Per-task code review caught & fixed real issues** (all in the committed code): leading
qualifiers `nach/vor/…` now → APPROX; English month-first matcher hardened to structurally
not shadow `Mai 1895`; person-id collision de-dup suffixes *all* members; `split_receivers`
returns `[]` for a `geb.`-only cell; boolean cells no longer coerced to `1/0`; duplicate-index
flags every occurrence; provisional ids never steal a register id; CSV-injection defanged.
**REAL DRY-RUN** (`python normalize.py` over the actual archive — outputs are gitignored):
- documents_emitted **7,582** (+225 empty +93 blank-index +42 x-suffix = 7,942 rows read, 0 dropped)
- register_persons **163**, provisional_persons **942**
- dates: DAY 6,509 / MONTH 36 / RANGE 36 / APPROX 28 / YEAR 17 / SEASON 1 / UNKNOWN 955
- **unknown_date_rate 9.2%** (of dated rows; target ≤5% pre-override, ≤0.5% after overrides)
- duplicate_index 85, index_file_mismatches 550, ambiguous_receivers 303
**⚠️ Concurrency incident:** a parallel Claude session committed reader-dashboard work to this
branch and hard-reset it mid-execution, deleting the Task 15 files and orphaning a commit.
Recovered via reflog (`reset --hard 366b4848` + `checkout 401160e3 -- <task15 files>`); no code
lost. Casualty: my *during-execution* edits to the plan/spec docs (02/03) for Tasks 514 were
discarded — **the committed code + tests are the source of truth**, not the plan doc, which now
reflects the pre-execution + persona-review version.
**Next steps (iterative refinement — the overrides loop, as designed):**
1. Shave the 9.2% UNKNOWN cheaply: add **Spanish month names** (Enero…Diciembre) and the
`Mon DD-YYYY` dash form to `config.MONTHS`/the parser (Mexican-branch correspondence);
revisit the 5872 two-digit-year band (real `…58/59/60` dates = 19581960, just past the
18731957 window — decide whether to extend the upper bound in `config`).
2. `?` (99×) is genuinely "date unknown" — leave UNKNOWN or add a convention.
3. Populate `overrides/dates.csv` + `overrides/names.csv` from the review CSVs and re-run.
4. README note: a leading `'`/`!` in a `review/*.csv` `raw` cell may be a CSV-defang artifact —
match against the true source value when writing overrides.
5. Phase 2 (separate spec): wire the canonical contract into the Java `MassImportService`.
---
## 2026-05-25 (session 3) — Implementation plan + persona review
**Did:**
- Wrote [`03-normalizer-implementation-plan.md`](./03-normalizer-implementation-plan.md): 17
bite-sized TDD tasks for `tools/import-normalizer/` (Python, openpyxl), bottom-up — date
parser w/ Easter computus first, then persons/alias, ingest, mapping, orchestrator, writers.
- Ran a 6-persona inline review (architect, developer, tester, req-engineer, security, devops;
ui-expert too) via parallel agents. Acted on all material findings.
**Key fixes from review (see plan §"Review feedback incorporated"):**
- Idempotency redefined byte-identical → **content-deterministic** (spec G4/NFR-IDEM-01);
pinned workbook timestamps + deterministic alias ordering + a real two-run equality test.
- Real bug: duplicate-index only reported repeats → now flags/reports every occurrence.
- Provisional `person_id` could overwrite a register id → now suffixed.
- Date parser gaps: invalid-calendar-date → UNKNOWN, intra-month day-range (`7./8. Sept.1923`).
- Multi-person sender now split + flagged (REQ-PERS-01); CSV-injection defanged in review files;
pinned deps + hardened root `.gitignore`.
**Next:**
- Marcel reviews the plan. Then execute it (subagent-driven or inline) — the date parser
(Task 3/8 + Easter computus) is the meatiest piece.
---
## 2026-05-25 (session 2) — Strategy + normalizer spec
**Did:**
- Decided strategy with Marcel: **normalize the raw sheets first**, then import (higher
leverage than making the Java importer tolerate every mess).
- Locked design decisions (see spec §3): new canonical layout; dates = parsed + raw +
precision; include person register + dedup in this effort; overrides-file + re-run loop;
Python tool at `tools/import-normalizer/`.
- Century rule fixed by Marcel: archive spans **18731957**; 2-digit `0057`→19YY,
`7399`→18YY, `5872`→flag; 3-digit→1DDD; never 20xx.
- Wrote [`02-normalization-spec.md`](./02-normalization-spec.md) in the requirements-engineer
persona (FR/NFR, Given-When-Then ACs, traceability to IMP-NN, TBD register).
**All 6 open questions resolved (spec §9):** OQ-01 — movable feasts (Ostern, Pfingsten, …)
**computed per year from Easter**, never a fixed month; seasons → mid-season month
(Sommer=Jul, Herbst=Oct). OQ-02 ranges → start+RANGE. OQ-03 slug ids. OQ-04 — `x`-suffix rows
**skipped + logged** this pass (they're transcriptions of the base letter, not yet mappable).
OQ-05 → `.xlsx`. OQ-06 → conservative, no silent merge.
**Git:** moved off the unrelated `feat/issue-356-…` branch; pulled `main`; created clean
branch **`docs/import-migration`** and committed these docs there. (The dirty `.venv`
pycache + `skills/implement/SKILL.md` in the tree are pre-existing/environmental noise — left
uncommitted, not ours.)
**Next:**
- Marcel reviews the spec.
- Then writing-plans → build the normalizer at `tools/import-normalizer/` (backlog B1B7 are
the Musts; B3 date parser incl. Easter computus is the big one).
---
## 2026-05-25 (session 1) — Initial analysis
**Did:**
- Got the real raw archive xlsx (7,943 rows) + person register (163 people). PDFs to follow.
- Compared the new xlsx layout against `MassImportService` defaults and the old ODS.
- Full statistical scan of all rows: dates, indices, senders/receivers, file column.
- Wrote [`01-findings-spreadsheet-analysis.md`](./01-findings-spreadsheet-analysis.md)
with 12 issues (IMP-01..IMP-12) + recommended sequencing.
- Installed `openpyxl` into the OCR service venv for inspection.
**Key facts established:**
- Importer defaults match the **ODS**, not the new xlsx → wrong column mapping (IMP-01).
- **90%** of dated rows (6,571 / 7,319) are free-text dates the ISO-only parser drops (IMP-02).
- Person register is rich but **unimported**; holds the maiden-name dedup key (IMP-04/05).
**Decisions pending from Marcel (blockers for any code work):**
1. IMP-01: positional re-config of `app.import.col.*` vs header-driven mapping rewrite?
2. IMP-02: how to store imprecise dates — new `dateOriginal` + `precision` columns, or lossy?
3. IMP-04/05: format for the person/alias mapping; import persons before documents?
4. IMP-10: are `x`-suffix rows separate documents, attachments, or skipped?
**Next:**
- Get Marcel's calls on the 4 decisions above.
- Then split the code-change items into Gitea issues (IMP-01b, IMP-02, IMP-04, IMP-06, IMP-12).
- Pure-data tasks (IMP-07 dup list, IMP-09 file reconcile) stay here.

File diff suppressed because it is too large Load Diff

View File

@@ -1,292 +0,0 @@
# Personendatei Importer — Design Spec
**Date:** 2026-05-25
**Source file:** `import/Personendatei 2.xlsx`
**Output:** `tools/import-normalizer/out/canonical-persons-tree.json`
**Tool location:** `tools/import-normalizer/persons_tree.py`
---
## 1. Purpose
Normalize the 163-person family register in `Personendatei 2.xlsx` into a machine-readable JSON file that a future backend importer can consume to seed the `persons` and `person_relationships` tables. The tool is offline (no backend required) and produces a reviewable artifact with an explicit `unresolved[]` list for manual follow-up.
---
## 2. Source Data — Column Map
Sheet: `Tabelle1` (rows 2164; row 1 is the header).
| Col | Header | Content | Notes |
|-----|--------|---------|-------|
| A | Generation | `G 0``G 5` | Generation relative to Herbert & Clara Cram (G 2). Inconsistent formatting: `"G3"`, `"G 0"`, `"G 2 de Gruyter"` — strip non-digit chars and parse the integer. |
| B | Familienname | Last name | Sometimes compound: `"de Gruyter"`, `"Cram Heydrich"`, `"Burkhard- Meier"` |
| C | Vorname | First name | Sometimes multiple: `"Charlotte,Meta,Jacobi"`, nicknames in parens: `"Otto (Herbert)"` |
| D | geb als | Maiden name | Used as a name alias for matching |
| E | Geburtsdatum | Birth date | **Mixed types** — see §4 |
| F | Geburtsort | Birth place | Free-text string, stored verbatim |
| G | Todesdatum | Death date | Same mixed types as col E |
| H | Sterbeort | Death place | Free-text string, stored verbatim |
| I | verheiratet mit | Spouse name | Partial name in either `"Firstname Lastname"` or `"Lastname Firstname"` order |
| J | Bemerkung | German relationship notes | `"Sohn v Clara u Herbert"`, `"Nichte v Herbert"`, free text |
---
## 3. Two-Pass Architecture
### Pass 1 — Parse & Normalize (rows → person records)
For each row:
1. Read all 10 columns.
2. Assign a stable `rowId`: `"row_{i:03d}"` where `i` is the 1-based row number (e.g. `row_002`).
3. Normalize fields per §4 and §5.
4. Build the **name-lookup index** (see §6).
5. Emit a person record.
### Pass 2 — Resolve Relationships
Walk every person record:
1. Resolve col I (spouse) → emit `SPOUSE_OF` edge or `unresolved` entry.
2. Parse col J (Bemerkung) for parent/child patterns → emit `PARENT_OF` edges or `unresolved` entries.
3. Append unmatched Bemerkung text to `person.notes`.
---
## 4. Date Parsing
Both col E (birth) and col G (death) arrive as either an Excel numeric serial or a string.
### Excel serial conversion
When the cell value is an integer (or a float with no string representation):
```
date = datetime(1899, 12, 30) + timedelta(days=int(value))
year = date.year
```
Excel's epoch is 1899-12-30 (accounts for the Lotus 1-2-3 leap-year bug).
### String fallback — reuse existing `dates.parse_date()`
Pass the raw string to the existing `tools/import-normalizer/dates.parse_date()`. It already handles:
- `DD.MM.YYYY` and `D.M.YY`
- Year-only (`1930`)
- Month + year (`August 1941`, `Sept. 1913`)
- Partial/approximate markers
Extract `.year` from the returned `ParsedDate.iso` if `iso` is not `None`.
### Unresolvable dates
If both paths yield `None` (e.g. `"2.9.196"`, `"4.3.1023"`, `".12.1955"`):
- Set `birthYear`/`deathYear` to `null`.
- Append the raw value to `person.notes` as `"[Geburtsdatum: <raw>]"` or `"[Todesdatum: <raw>]"` for human review.
---
## 5. Person Record Normalization
### Name fields
- **lastName** = col B, stripped.
- **firstName** = col C. Keep as-is (including multi-name strings and parenthetical nicknames) — the backend can split later.
- **maidenName** = col D, stripped. Stored in the JSON; the backend maps this to a `PersonNameAlias` of type `BIRTH_NAME`.
- **alias** = `null` (the tool does not invent aliases; maiden name is the alias).
### Generation
Extract the first digit sequence from col A:
```python
import re
m = re.search(r"\d+", raw_generation)
generation = int(m.group()) if m else None
```
Handles all observed variants: `"G 3"`, `"G3"`, `"G 0"`, `"G 2 de Gruyter"`, `"G 0"`.
Stored as `generation: int | null` in the JSON (informational; not mapped to a backend field directly).
### familyMember
Set `true` for all records. Every person in this register is part of the family network. The backend can refine this.
### notes
Constructed by concatenation:
1. Unmatched Bemerkung text (after relationship pattern is stripped).
2. Unresolvable date raw values (prefixed with field name).
---
## 6. Name Lookup Index
After pass 1, build a `dict[str, list[str]]` mapping normalized name keys → list of `rowId`s.
### Normalization function `_norm(s) -> str`
1. Lowercase.
2. Strip surrounding `"` and `'`.
3. Remove parenthetical substrings: `r"\([^)]*\)"`.
4. Collapse internal whitespace.
5. Strip geographic/honorific suffixes: `aachen`, `mex.`, `mexiko`, `sen`, `jun`, `jr`.
6. Strip trailing commas, dots.
### Keys indexed per person
For a person with firstName `F`, lastName `L`, maidenName `M`:
- `_norm(f"{F} {L}")` — canonical order
- `_norm(f"{L} {F}")` — reversed order (col I uses this heavily)
- `_norm(f"{F} {M}")` if maidenName is set — maiden-name reference
- `_norm(L)` alone — single-token fallback
### Match resolution
Given a raw name string from col I or col J:
1. `_norm(raw)` → look up in index.
2. **Exactly one hit** → match confirmed, use that `rowId`.
3. **Zero hits**`reason: "not_found"``unresolved[]`.
4. **Multiple hits**`reason: "ambiguous"``unresolved[]`.
---
## 7. Relationship Extraction
### 7.1 SPOUSE_OF (col I — `verheiratet mit`)
1. Normalize col I value.
2. Resolve via name index (§6).
3. If matched: emit one edge `{ personId, relatedPersonId, type: "SPOUSE_OF", source: "verheiratet_mit" }`.
- Skip if an identical edge (regardless of direction) already exists in the relationship list.
4. If unresolved: add to `unresolved[]`.
### 7.2 PARENT_OF (col J — `Bemerkung`)
Apply these regex patterns in order, case-insensitive, with optional whitespace:
| Pattern | Direction | Note |
|---------|-----------|------|
| `(Sohn\|Tochter)\s+v(?:on)?\s+(.+)` | Named person(s) → this person | "Sohn v Clara u Herbert" |
| `(Vater\|Mutter)\s+v(?:on)?\s+(.+)` | This person → named person(s) | "Vater v Herbert" |
**Multi-parent extraction:** The parent string may contain two parents joined by `\s+u(?:nd)?\s+`. Split on this pattern, resolve each part independently.
**Emit** one `PARENT_OF` edge per resolved parent:
```json
{
"personId": "<parent_rowId>",
"relatedPersonId": "<child_rowId>",
"type": "PARENT_OF",
"source": "bemerkung",
"rawBemerkung": "<original col J value>"
}
```
**Skip** (do not emit, do not add to `unresolved[]`, leave in notes):
- Patterns starting with `Neffe`, `Nichte`, `Enkel`, `Enkelin`, `Urenkel`, `Urenkelin` — too indirect.
- Patterns starting with `Bruder`, `Schwester` — SIBLING_OF is out of scope for this tool.
- Any other Bemerkung text that does not match the parent patterns.
**After extraction:** the matched portion of the Bemerkung is removed; the remainder goes into `person.notes`.
---
## 8. Output JSON Schema
File: `tools/import-normalizer/out/canonical-persons-tree.json`
```json
{
"generated_at": "<ISO-8601 timestamp>",
"source": "Personendatei 2.xlsx",
"stats": {
"persons": 163,
"relationships": 87,
"unresolved": 12
},
"persons": [
{
"rowId": "row_002",
"firstName": "Elsgard",
"lastName": "Allemeyer",
"maidenName": "Wöhler",
"alias": null,
"notes": "Nichte von Herbert",
"birthYear": 1920,
"deathYear": 1999,
"birthPlace": "Garz",
"deathPlace": "Espelkamp",
"generation": 3,
"familyMember": true
}
],
"relationships": [
{
"personId": "row_002",
"relatedPersonId": "row_003",
"type": "SPOUSE_OF",
"source": "verheiratet_mit"
},
{
"personId": "row_019",
"relatedPersonId": "row_021",
"type": "PARENT_OF",
"source": "bemerkung",
"rawBemerkung": "Tochter v Clara u Herbert"
}
],
"unresolved": [
{
"rowId": "row_007",
"field": "verheiratet_mit",
"raw": "\"Tante Lolly\"",
"reason": "not_found"
},
{
"rowId": "row_042",
"field": "bemerkung",
"raw": "Zwillingsbruder v Herbert",
"reason": "not_found"
}
]
}
```
---
## 9. CLI Interface
```
python3 persons_tree.py [--input PATH] [--output PATH] [--dry-run]
```
| Flag | Default | Description |
|------|---------|-------------|
| `--input` | `../../import/Personendatei 2.xlsx` | Source Excel file |
| `--output` | `out/canonical-persons-tree.json` | Output JSON file |
| `--dry-run` | off | Print stats + first 5 unresolved entries; do not write file |
On success, print:
```
✓ 163 persons parsed
✓ 87 relationships emitted (52 SPOUSE_OF, 35 PARENT_OF)
⚠ 12 unresolved (see unresolved[] in output)
→ out/canonical-persons-tree.json
```
---
## 10. Module Reuse
| Existing module | What we reuse |
|-----------------|---------------|
| `dates.parse_date()` | String date parsing — handles DD.MM.YYYY, year-only, month+year, approximate markers |
| `config.MONTHS` | Month name → integer mapping (German + Spanish month names already present) |
The Excel serial conversion is new logic added directly in `persons_tree.py` (3 lines).
---
## 11. What This Tool Does NOT Do
- Does not call the backend API or touch the database.
- Does not create `PersonNameAlias` records — it emits `maidenName` as a field; the future backend importer maps it.
- Does not infer SIBLING_OF edges (requires symmetric lookup across multiple rows — deferred).
- Does not deduplicate persons that appear in both this file and `canonical-persons.xlsx` — deduplication is the backend importer's responsibility.
- Does produce `birthPlace` / `deathPlace` as top-level fields in the JSON (see §8) — they are free-text strings and informational only. The `Person` entity has no corresponding columns; the future backend importer decides whether to add columns or fold the values into `notes`.
---
## 12. Resolved Decisions
| OQ | Question | Decision |
|----|----------|----------|
| OQ-01 | Duplicate rows (127/138 — Christa Schütz; 129/139 — Christoph Seils). | **Tool deduplicates.** On pass 1, after building the person list, detect rows with identical `(firstName, lastName, birthYear)` and keep only the first occurrence. Log skipped row ids to stdout. |
| OQ-02 | `birthPlace` / `deathPlace` absent from `Person` entity. | **Keep as separate top-level fields** in the JSON (`birthPlace`, `deathPlace`). The future backend importer may add columns to the `persons` table; the field is preserved here to avoid data loss. |
| OQ-03 | `firstName` = `"Charlotte,Meta,Jacobi"` (multi-name comma string). | **Store verbatim as `firstName`.** No splitting. |

View File

@@ -16,10 +16,6 @@ CMD ["npm", "run", "dev"]
# Compiles the SvelteKit Node-adapter output to /app/build.
FROM node:20.19.0-alpine3.21 AS build
WORKDIR /app
# VITE_SENTRY_DSN is a build-time variable — Vite bakes it into the bundle.
# Passed via docker-compose build.args; empty string disables the SDK.
ARG VITE_SENTRY_DSN
ENV VITE_SENTRY_DSN=$VITE_SENTRY_DSN
COPY package.json package-lock.json ./
RUN npm ci
COPY . .

View File

@@ -106,31 +106,6 @@ export default defineConfig(
]
}
},
{
// Forbid test fixtures (*.test-fixture.svelte) from being imported by
// production code. Tree-shaking keeps them out of the production bundle
// today (no route reaches them), but a lint rule makes the boundary
// explicit so an accidental autocomplete import in a route or component
// fails fast. Test files (*.spec.ts / *.test.ts) and the fixtures
// themselves are exempt — see the next block. Nora #2 on PR #629
// round 3.
files: ['**/*.svelte', '**/*.svelte.ts', '**/*.svelte.js', '**/*.ts'],
ignores: ['**/*.spec.ts', '**/*.test.ts', '**/*.test-fixture.svelte'],
rules: {
'no-restricted-imports': [
'error',
{
patterns: [
{
group: ['**/*.test-fixture.svelte'],
message:
'Test fixtures (*.test-fixture.svelte) are test-only — do not import from production code. Tracked by #637.'
}
]
}
]
}
},
{
plugins: { boundaries },
settings: {

View File

@@ -14,7 +14,6 @@
"error_file_too_large": "Die Datei ist zu groß (max. 50 MB).",
"error_user_not_found": "Der Benutzer wurde nicht gefunden.",
"error_import_already_running": "Ein Import läuft bereits. Bitte warten Sie, bis dieser abgeschlossen ist.",
"error_import_artifact_invalid": "Eine Importdatei fehlt oder ist ungültig. Bitte führen Sie den Normalizer erneut aus.",
"error_invalid_credentials": "E-Mail-Adresse oder Passwort ist falsch.",
"error_session_expired": "Ihre Sitzung ist abgelaufen. Bitte melden Sie sich erneut an.",
"error_session_expired_explainer": "Aus Sicherheitsgründen werden Sitzungen nach 8 Stunden Inaktivität automatisch beendet.",
@@ -357,13 +356,11 @@
"admin_system_import_status_done_label": "Dokumente verarbeitet",
"admin_system_import_skipped_label": "übersprungen",
"import_reason_invalid_pdf_signature": "Keine gültige PDF-Signatur",
"import_reason_path_traversal": "Ungültiger Dateiname (Pfad)",
"import_reason_file_read_error": "Fehler beim Lesen der Datei",
"import_reason_s3_upload_failed": "Upload-Fehler (S3)",
"import_reason_already_exists": "Bereits importiert",
"admin_system_import_status_failed": "Import fehlgeschlagen",
"admin_system_import_failed_no_spreadsheet": "Keine Tabellendatei gefunden.",
"admin_system_import_failed_artifact": "Eine Importdatei fehlt oder ist ungültig.",
"admin_system_import_failed_internal": "Interner Fehler beim Import.",
"admin_system_thumbnails_heading": "Thumbnails erzeugen",
"admin_system_thumbnails_description": "Erzeugt Vorschaubilder für Dokumente ohne Thumbnail (z. B. nach dem Massenimport).",
@@ -448,12 +445,8 @@
"person_mention_load_error": "Person konnte nicht geladen werden.",
"person_mention_loading": "Lade Person…",
"person_mention_popup_empty": "Keine Personen gefunden",
"person_mention_search_label": "Person suchen",
"person_mention_search_prompt": "Namen eingeben…",
"person_mention_btn_label": "Person verlinken",
"person_mention_create_new": "Neue Person anlegen",
"person_mention_results_count_singular": "1 Person gefunden",
"person_mention_results_count_plural": "{count} Personen gefunden",
"transcription_editor_aria_label": "Transkriptionstext",
"person_born_name_prefix": "geb.",
"page_title_home": "Archiv",
@@ -641,9 +634,6 @@
"transcription_block_review": "Als geprüft markieren",
"transcription_block_unreview": "Markierung aufheben",
"transcription_reviewed_count": "{reviewed} von {total} geprüft",
"transcription_mark_all_reviewed": "Alle als fertig markieren",
"transcription_mark_all_reviewed_disabled": "Alle Blöcke sind bereits als fertig markiert",
"transcription_mark_all_reviewed_error": "Markierung fehlgeschlagen. Bitte versuchen Sie es erneut.",
"training_ocr_heading": "Kurrent-Erkennung trainieren",
"training_ocr_description": "Starte ein neues Training mit den bisher geprüften OCR-Blöcken, um die Erkennungsgenauigkeit für Kurrentschrift zu verbessern.",
"training_ocr_blocks_ready": "{blocks} geprüfte Blöcke bereit / {docs} Dokumente",

View File

@@ -14,7 +14,6 @@
"error_file_too_large": "The file is too large (max. 50 MB).",
"error_user_not_found": "User not found.",
"error_import_already_running": "An import is already running. Please wait for it to finish.",
"error_import_artifact_invalid": "A canonical import file is missing or invalid. Please re-run the normalizer.",
"error_invalid_credentials": "Email address or password is incorrect.",
"error_session_expired": "Your session has expired. Please sign in again.",
"error_session_expired_explainer": "For security reasons, sessions are automatically ended after 8 hours of inactivity.",
@@ -357,13 +356,11 @@
"admin_system_import_status_done_label": "Documents processed",
"admin_system_import_skipped_label": "skipped",
"import_reason_invalid_pdf_signature": "Invalid PDF signature",
"import_reason_path_traversal": "Invalid filename (path)",
"import_reason_file_read_error": "File read error",
"import_reason_s3_upload_failed": "Upload error (S3)",
"import_reason_already_exists": "Already imported",
"admin_system_import_status_failed": "Import failed",
"admin_system_import_failed_no_spreadsheet": "No spreadsheet file found.",
"admin_system_import_failed_artifact": "A canonical import file is missing or invalid.",
"admin_system_import_failed_internal": "Import failed due to an internal error.",
"admin_system_thumbnails_heading": "Generate thumbnails",
"admin_system_thumbnails_description": "Generates preview images for documents without a thumbnail (e.g. after the mass import).",
@@ -448,12 +445,8 @@
"person_mention_load_error": "Could not load person.",
"person_mention_loading": "Loading person…",
"person_mention_popup_empty": "No persons found",
"person_mention_search_label": "Search for a person",
"person_mention_search_prompt": "Enter a name…",
"person_mention_btn_label": "Link person",
"person_mention_create_new": "Create new person",
"person_mention_results_count_singular": "1 person found",
"person_mention_results_count_plural": "{count} persons found",
"transcription_editor_aria_label": "Transcription text",
"person_born_name_prefix": "née",
"page_title_home": "Archive",
@@ -641,9 +634,6 @@
"transcription_block_review": "Mark as reviewed",
"transcription_block_unreview": "Unmark as reviewed",
"transcription_reviewed_count": "{reviewed} of {total} reviewed",
"transcription_mark_all_reviewed": "Mark all as reviewed",
"transcription_mark_all_reviewed_disabled": "All blocks are already marked as reviewed",
"transcription_mark_all_reviewed_error": "Failed to mark all as reviewed. Please try again.",
"training_ocr_heading": "Train Kurrent recognition",
"training_ocr_description": "Start a new training run using the reviewed OCR blocks to improve recognition accuracy for Kurrent script.",
"training_ocr_blocks_ready": "{blocks} reviewed blocks ready / {docs} documents",

View File

@@ -14,7 +14,6 @@
"error_file_too_large": "El archivo es demasiado grande (máx. 50 MB).",
"error_user_not_found": "Usuario no encontrado.",
"error_import_already_running": "Ya hay una importación en curso. Por favor, espere a que finalice.",
"error_import_artifact_invalid": "Falta un archivo de importación canónico o no es válido. Vuelva a ejecutar el normalizador.",
"error_invalid_credentials": "El correo electrónico o la contraseña son incorrectos.",
"error_session_expired": "Su sesión ha expirado. Por favor, inicie sesión de nuevo.",
"error_session_expired_explainer": "Por razones de seguridad, las sesiones se terminan automáticamente tras 8 horas de inactividad.",
@@ -357,13 +356,11 @@
"admin_system_import_status_done_label": "Documentos procesados",
"admin_system_import_skipped_label": "omitidos",
"import_reason_invalid_pdf_signature": "Firma PDF no válida",
"import_reason_path_traversal": "Nombre de archivo no válido (ruta)",
"import_reason_file_read_error": "Error al leer el archivo",
"import_reason_s3_upload_failed": "Error de carga (S3)",
"import_reason_already_exists": "Ya importado",
"admin_system_import_status_failed": "Importación fallida",
"admin_system_import_failed_no_spreadsheet": "No se encontró ninguna hoja de cálculo.",
"admin_system_import_failed_artifact": "Falta un archivo de importación canónico o no es válido.",
"admin_system_import_failed_internal": "Error interno durante la importación.",
"admin_system_thumbnails_heading": "Generar miniaturas",
"admin_system_thumbnails_description": "Genera imágenes de vista previa para documentos sin miniatura (p. ej. tras la importación masiva).",
@@ -448,12 +445,8 @@
"person_mention_load_error": "No se pudo cargar la persona.",
"person_mention_loading": "Cargando persona…",
"person_mention_popup_empty": "No se encontraron personas",
"person_mention_search_label": "Buscar persona",
"person_mention_search_prompt": "Escribe un nombre…",
"person_mention_btn_label": "Vincular persona",
"person_mention_create_new": "Crear nueva persona",
"person_mention_results_count_singular": "1 persona encontrada",
"person_mention_results_count_plural": "{count} personas encontradas",
"transcription_editor_aria_label": "Texto de transcripción",
"person_born_name_prefix": "n.",
"page_title_home": "Archivo",
@@ -641,9 +634,6 @@
"transcription_block_review": "Marcar como revisado",
"transcription_block_unreview": "Desmarcar como revisado",
"transcription_reviewed_count": "{reviewed} de {total} revisados",
"transcription_mark_all_reviewed": "Marcar todo como revisado",
"transcription_mark_all_reviewed_disabled": "Todos los bloques ya están marcados como revisados",
"transcription_mark_all_reviewed_error": "Error al marcar como revisado. Intente de nuevo.",
"training_ocr_heading": "Entrenar reconocimiento Kurrent",
"training_ocr_description": "Inicia un nuevo entrenamiento con los bloques OCR revisados para mejorar la precisión de reconocimiento del script Kurrent.",
"training_ocr_blocks_ready": "{blocks} bloques revisados listos / {docs} documentos",

View File

@@ -17,7 +17,6 @@ import PdfViewer from '$lib/document/viewer/PdfViewer.svelte';
import { bulkTitleFromFilename } from '$lib/document/filename';
import type { Tag } from '$lib/tag/TagInput.svelte';
import type { components } from '$lib/generated/api';
import { withCsrf } from '$lib/shared/cookies';
type Person = components['schemas']['Person'];
@@ -184,10 +183,7 @@ async function saveUpload() {
// FormData with per-chunk progress. Session cookie is sent automatically
// by the browser for same-origin requests.
try {
const res = await fetch(
'/api/documents/quick-upload',
withCsrf({ method: 'POST', body: formData })
);
const res = await fetch('/api/documents/quick-upload', { method: 'POST', body: formData });
const body = await res.json().catch(() => ({ errors: [] }));
const errorFilenames = new Set<string>(
(body.errors ?? []).map((err: { filename: string }) => err.filename)

View File

@@ -5,7 +5,7 @@ import { clickOutside } from '$lib/shared/actions/clickOutside';
import { formatDate } from '$lib/shared/utils/date';
type Document = components['schemas']['Document'];
type DocumentListItem = components['schemas']['DocumentListItem'];
type DocumentSearchItem = components['schemas']['DocumentSearchItem'];
interface Props {
selectedDocuments?: Document[];
@@ -45,12 +45,8 @@ function handleInput() {
try {
const res = await fetch(`/api/documents/search?q=${encodeURIComponent(searchTerm)}&size=10`);
if (res.ok) {
const body: { items: DocumentListItem[] } = await res.json();
const docs = body.items.map((it) => ({
id: it.id,
title: it.title,
documentDate: it.documentDate
})) as unknown as Document[];
const body: { items: DocumentSearchItem[] } = await res.json();
const docs = body.items.map((it) => it.document);
results = docs.filter((d) => !selectedDocuments.some((s) => s.id === d.id));
}
} catch {

View File

@@ -10,19 +10,7 @@ const docFactory = (id: string, title: string, date = '1880-01-01') => ({
title,
documentDate: date,
originalFilename: `${title}.pdf`,
receivers: [],
tags: [],
completionPercentage: 0,
contributors: [],
matchData: {
titleOffsets: [],
senderMatched: false,
matchedReceiverIds: [],
matchedTagIds: [],
snippetOffsets: [],
summaryOffsets: []
},
status: 'UPLOADED' as const,
status: 'UPLOADED',
metadataComplete: false,
scriptType: 'UNKNOWN' as const,
createdAt: '2024-01-01T00:00:00',
@@ -34,7 +22,7 @@ function mockSearchResponse(items: ReturnType<typeof docFactory>[]) {
'fetch',
vi.fn().mockResolvedValue({
ok: true,
json: vi.fn().mockResolvedValue({ items })
json: vi.fn().mockResolvedValue({ items: items.map((document) => ({ document })) })
})
);
}
@@ -103,7 +91,10 @@ describe('DocumentMultiSelect — search and select', () => {
const fetchMock = vi.fn().mockResolvedValue({
ok: true,
json: vi.fn().mockResolvedValue({
items: [docFactory('d1', 'Already attached'), docFactory('d2', 'Not attached')]
items: [
{ document: docFactory('d1', 'Already attached') },
{ document: docFactory('d2', 'Not attached') }
]
})
});
vi.stubGlobal('fetch', fetchMock);

View File

@@ -9,11 +9,11 @@ import ProgressRing from '$lib/shared/primitives/ProgressRing.svelte';
import ContributorStack from '$lib/shared/primitives/ContributorStack.svelte';
import DocumentThumbnail from './DocumentThumbnail.svelte';
type DocumentListItem = components['schemas']['DocumentListItem'];
type DocumentSearchItem = components['schemas']['DocumentSearchItem'];
let { item, canWrite = false }: { item: DocumentListItem; canWrite?: boolean } = $props();
let { item, canWrite = false }: { item: DocumentSearchItem; canWrite?: boolean } = $props();
const doc = $derived(item);
const doc = $derived(item.document);
const titleText = $derived(doc.title || doc.originalFilename);
const titleOffsets = $derived(item.matchData?.titleOffsets ?? []);
const titleSegments = $derived(applyOffsets(titleText, titleOffsets));

View File

@@ -14,17 +14,24 @@ afterEach(() => {
bulkSelectionStore.clear();
});
type DocumentListItem = components['schemas']['DocumentListItem'];
type DocumentSearchItem = components['schemas']['DocumentSearchItem'];
function makeItem(overrides: Partial<DocumentListItem> = {}): DocumentListItem {
function makeItem(overrides: Partial<DocumentSearchItem> = {}): DocumentSearchItem {
return {
id: '1',
title: 'Testbrief',
originalFilename: 'testbrief.pdf',
documentDate: '2024-03-15',
sender: undefined,
receivers: [],
tags: [],
document: {
id: '1',
title: 'Testbrief',
originalFilename: 'testbrief.pdf',
status: 'UPLOADED',
documentDate: '2024-03-15',
sender: null,
receivers: [],
tags: [],
createdAt: '2024-01-01T00:00:00Z',
updatedAt: '2024-01-01T00:00:00Z',
metadataComplete: false,
scriptType: 'UNKNOWN'
},
matchData: {
titleOffsets: [],
senderMatched: false,
@@ -48,14 +55,14 @@ describe('DocumentRow title', () => {
});
it('falls back to originalFilename when title is null', async () => {
const item = makeItem({ title: null as unknown as string });
const item = makeItem({ document: { ...makeItem().document, title: null } });
render(DocumentRow, { item });
await expect.element(page.getByRole('heading', { name: 'testbrief.pdf' })).toBeInTheDocument();
});
it('renders a mark element for highlighted title offsets', async () => {
const item = makeItem({
title: 'Brief an Anna',
document: { ...makeItem().document, title: 'Brief an Anna' },
matchData: {
titleOffsets: [{ start: 0, length: 5 }],
senderMatched: false,
@@ -102,12 +109,9 @@ describe('DocumentRow snippet', () => {
describe('DocumentRow sender', () => {
it('shows sender display name', async () => {
const item = makeItem({
sender: {
id: 's1',
lastName: 'Maria',
displayName: 'Großmutter Maria',
personType: 'PERSON',
familyMember: false
document: {
...makeItem().document,
sender: { id: 's1', displayName: 'Großmutter Maria' }
}
});
render(DocumentRow, { item });
@@ -122,12 +126,9 @@ describe('DocumentRow sender', () => {
it('highlights the sender when senderMatched is true', async () => {
const item = makeItem({
sender: {
id: 's1',
lastName: 'Maria',
displayName: 'Großmutter Maria',
personType: 'PERSON',
familyMember: false
document: {
...makeItem().document,
sender: { id: 's1', displayName: 'Großmutter Maria' }
},
matchData: {
...makeItem().matchData,
@@ -141,15 +142,10 @@ describe('DocumentRow sender', () => {
it('highlights a receiver when matchedReceiverIds includes its id', async () => {
const item = makeItem({
receivers: [
{
id: 'r1',
lastName: 'Karl',
displayName: 'Onkel Karl',
personType: 'PERSON',
familyMember: false
}
],
document: {
...makeItem().document,
receivers: [{ id: 'r1', displayName: 'Onkel Karl' }]
},
matchData: {
...makeItem().matchData,
matchedReceiverIds: ['r1']
@@ -166,7 +162,10 @@ describe('DocumentRow sender', () => {
describe('DocumentRow summary', () => {
it('renders the document summary when present', async () => {
const item = makeItem({
summary: 'Brief von Eugenie über die Heimreise aus dem Süden.'
document: {
...makeItem().document,
summary: 'Brief von Eugenie über die Heimreise aus dem Süden.'
}
});
render(DocumentRow, { item });
await expect
@@ -181,7 +180,7 @@ describe('DocumentRow summary', () => {
it('applies summary search-match highlight via summaryOffsets', async () => {
const item = makeItem({
summary: 'Brief über Menton',
document: { ...makeItem().document, summary: 'Brief über Menton' },
matchData: {
...makeItem().matchData,
summaryOffsets: [{ start: 11, length: 6 }]
@@ -197,19 +196,25 @@ describe('DocumentRow summary', () => {
describe('DocumentRow archive chips', () => {
it('renders the archive box chip when set', async () => {
const item = makeItem({ archiveBox: 'K3' });
const item = makeItem({
document: { ...makeItem().document, archiveBox: 'K3' }
});
render(DocumentRow, { item });
await expect.element(page.getByText('K3')).toBeInTheDocument();
});
it('renders the archive folder chip when set', async () => {
const item = makeItem({ archiveFolder: 'Mappe A' });
const item = makeItem({
document: { ...makeItem().document, archiveFolder: 'Mappe A' }
});
render(DocumentRow, { item });
await expect.element(page.getByText('Mappe A')).toBeInTheDocument();
});
it('renders the location chip when meta_location is set', async () => {
const item = makeItem({ location: 'Berlin' });
const item = makeItem({
document: { ...makeItem().document, location: 'Berlin' }
});
render(DocumentRow, { item });
await expect.element(page.getByText('Berlin')).toBeInTheDocument();
});
@@ -220,7 +225,10 @@ describe('DocumentRow archive chips', () => {
describe('DocumentRow tags', () => {
it('renders tag buttons', async () => {
const item = makeItem({
tags: [{ id: 't1', name: 'Familie' }]
document: {
...makeItem().document,
tags: [{ id: 't1', name: 'Familie', color: null, parentId: null }]
}
});
render(DocumentRow, { item });
await expect.element(page.getByRole('button', { name: 'Familie' })).toBeInTheDocument();
@@ -228,7 +236,10 @@ describe('DocumentRow tags', () => {
it('navigates to /documents?tag=… on tag click', async () => {
const item = makeItem({
tags: [{ id: 't1', name: 'Urlaub & Reise' }]
document: {
...makeItem().document,
tags: [{ id: 't1', name: 'Urlaub & Reise', color: null, parentId: null }]
}
});
render(DocumentRow, { item });
// Tailwind CSS isn't loaded in the vitest-browser client project, so the
@@ -244,7 +255,10 @@ describe('DocumentRow tags', () => {
it('tag click does not navigate to the document detail page', async () => {
const item = makeItem({
tags: [{ id: 't2', name: 'Familie' }]
document: {
...makeItem().document,
tags: [{ id: 't2', name: 'Familie', color: null, parentId: null }]
}
});
render(DocumentRow, { item });
const before = window.location.href;
@@ -267,7 +281,7 @@ describe('DocumentRow bulk selection checkbox', () => {
});
it('checkbox aria-label includes the document title', async () => {
const item = makeItem({ title: 'Brief an Anna' });
const item = makeItem({ document: { ...makeItem().document, title: 'Brief an Anna' } });
render(DocumentRow, { item, canWrite: true });
await expect
.element(page.getByRole('checkbox', { name: /Brief an Anna/i }))
@@ -275,7 +289,7 @@ describe('DocumentRow bulk selection checkbox', () => {
});
it('toggling the checkbox calls bulkSelectionStore.toggle', async () => {
const item = makeItem({ id: 'doc-42' });
const item = makeItem({ document: { ...makeItem().document, id: 'doc-42' } });
render(DocumentRow, { item, canWrite: true });
expect(bulkSelectionStore.has('doc-42')).toBe(false);
@@ -286,7 +300,7 @@ describe('DocumentRow bulk selection checkbox', () => {
it('checked state mirrors the store', async () => {
bulkSelectionStore.add('doc-99');
const item = makeItem({ id: 'doc-99' });
const item = makeItem({ document: { ...makeItem().document, id: 'doc-99' } });
render(DocumentRow, { item, canWrite: true });
await expect.element(page.getByRole('checkbox')).toBeChecked();
});

View File

@@ -20,31 +20,10 @@ const { default: DocumentRow } = await import('./DocumentRow.svelte');
afterEach(cleanup);
const sender = {
id: 's1',
lastName: 'Schmidt',
displayName: 'Anna Schmidt',
personType: 'PERSON' as const,
familyMember: false
};
const receiver = {
id: 'r1',
lastName: 'Meier',
displayName: 'Bert Meier',
personType: 'PERSON' as const,
familyMember: false
};
const sender = { id: 's1', displayName: 'Anna Schmidt' };
const receiver = { id: 'r1', displayName: 'Bert Meier' };
const emptyMatchData = {
titleOffsets: [],
senderMatched: false,
matchedReceiverIds: [],
matchedTagIds: [],
snippetOffsets: [],
summaryOffsets: []
};
const baseItem = (overrides: Record<string, unknown> = {}) => ({
const makeDoc = (overrides: Record<string, unknown> = {}) => ({
id: 'd1',
title: 'Brief 1923',
originalFilename: 'b.pdf',
@@ -52,16 +31,22 @@ const baseItem = (overrides: Record<string, unknown> = {}) => ({
sender,
receivers: [receiver],
tags: [],
summary: undefined,
archiveBox: undefined,
archiveFolder: undefined,
location: undefined,
matchData: emptyMatchData,
completionPercentage: 0,
contributors: [],
thumbnailUrl: null,
contentType: 'application/pdf',
summary: null,
archiveBox: null,
archiveFolder: null,
location: null,
...overrides
});
const baseItem = (docOverrides: Record<string, unknown> = {}) => ({
document: makeDoc(docOverrides),
matchData: null,
completionPercentage: 0,
contributors: []
});
describe('DocumentRow', () => {
it('renders the title', async () => {
render(DocumentRow, { props: { item: baseItem() } });
@@ -136,9 +121,12 @@ describe('DocumentRow', () => {
it('renders the snippet when matchData provides a transcriptionSnippet', async () => {
render(DocumentRow, {
props: {
item: baseItem({
matchData: { ...emptyMatchData, transcriptionSnippet: 'Hello world snippet' }
})
item: {
document: makeDoc(),
matchData: { transcriptionSnippet: 'Hello world snippet' },
completionPercentage: 50,
contributors: []
}
}
});

View File

@@ -1,7 +1,7 @@
import { describe, it, expect, vi, afterEach } from 'vitest';
import { cleanup, render } from 'vitest-browser-svelte';
import { page } from 'vitest/browser';
import TranscriptionBlockHost from './TranscriptionBlock.test-fixture.svelte';
import TranscriptionBlockHost from './TranscriptionBlock.test-host.svelte';
import type { ConfirmService } from '$lib/shared/services/confirm.svelte.js';
afterEach(cleanup);

View File

@@ -6,7 +6,6 @@ import TranscribeCoachEmptyState from '$lib/shared/help/TranscribeCoachEmptyStat
import type { PersonMention, TranscriptionBlockData } from '$lib/shared/types';
import { createBlockAutoSave } from '$lib/document/transcription/useBlockAutoSave.svelte';
import { createBlockDragDrop } from '$lib/document/transcription/useBlockDragDrop.svelte';
import { withCsrf } from '$lib/shared/cookies';
type Props = {
documentId: string;
@@ -50,7 +49,6 @@ let activeBlockId: string | null = $state(null);
let localLabels: string[] = $derived.by(() => [...trainingLabels]);
let listEl: HTMLElement | null = $state(null);
let markingAllReviewed = $state(false);
let markAllError = $state<string | null>(null);
const sortedBlocks = $derived([...blocks].sort((a, b) => a.sortOrder - b.sortOrder));
const hasBlocks = $derived(blocks.length > 0);
@@ -69,11 +67,8 @@ $effect(() => {
async function handleMarkAllReviewed() {
if (!onMarkAllReviewed) return;
markingAllReviewed = true;
markAllError = null;
try {
await onMarkAllReviewed();
} catch {
markAllError = m.transcription_mark_all_reviewed_error();
} finally {
markingAllReviewed = false;
}
@@ -114,14 +109,11 @@ function handleDelete(blockId: string) {
async function reorder(newOrder: string[]) {
try {
const res = await fetch(
`/api/documents/${documentId}/transcription-blocks/reorder`,
withCsrf({
method: 'PUT',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({ blockIds: newOrder })
})
);
const res = await fetch(`/api/documents/${documentId}/transcription-blocks/reorder`, {
method: 'PUT',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({ blockIds: newOrder })
});
if (!res.ok) return;
const updated = await res.json();
for (const b of updated) {
@@ -177,7 +169,7 @@ async function handleLabelToggle(label: string) {
<button
onclick={handleMarkAllReviewed}
disabled={allReviewed || markingAllReviewed}
title={allReviewed ? m.transcription_mark_all_reviewed_disabled() : undefined}
title={allReviewed ? 'Alle Blöcke sind bereits als fertig markiert' : undefined}
class="flex min-h-[44px] items-center gap-1.5 rounded-sm px-3 font-sans text-xs font-medium text-brand-navy/80 transition-colors hover:text-brand-navy focus-visible:ring-2 focus-visible:ring-brand-navy disabled:opacity-40"
>
{#if markingAllReviewed}
@@ -215,7 +207,7 @@ async function handleLabelToggle(label: string) {
<path stroke-linecap="round" stroke-linejoin="round" d="M5 13l4 4L19 7" />
</svg>
{/if}
{m.transcription_mark_all_reviewed()}
Alle als fertig markieren
</button>
{/if}
</div>
@@ -225,31 +217,6 @@ async function handleLabelToggle(label: string) {
style="width: {reviewProgress}%"
></div>
</div>
{#if markAllError}
<div
role="alert"
class="mt-1.5 flex items-center gap-2 rounded-sm border border-red-200 bg-red-50 px-3 py-2 font-sans text-sm text-red-700"
>
<span class="flex-1">{markAllError}</span>
<button
onclick={() => (markAllError = null)}
aria-label={m.comp_dismiss()}
class="flex min-h-[44px] min-w-[44px] items-center justify-center rounded text-red-600 hover:text-red-700 focus-visible:ring-2 focus-visible:ring-red-500"
>
<svg
class="h-4 w-4"
fill="none"
stroke="currentColor"
stroke-width="2"
viewBox="0 0 24 24"
xmlns="http://www.w3.org/2000/svg"
aria-hidden="true"
>
<path stroke-linecap="round" stroke-linejoin="round" d="M6 18L18 6M6 6l12 12" />
</svg>
</button>
</div>
{/if}
</div>
<div class="p-4">
<!-- svelte-ignore a11y_no_static_element_interactions -->

View File

@@ -3,7 +3,6 @@ import { cleanup, render } from 'vitest-browser-svelte';
import { page, userEvent } from 'vitest/browser';
import TranscriptionEditView from './TranscriptionEditView.svelte';
import { createConfirmService, CONFIRM_KEY } from '$lib/shared/services/confirm.svelte.js';
import { m } from '$lib/paraglide/messages.js';
afterEach(cleanup);
@@ -313,14 +312,14 @@ describe('TranscriptionEditView — mark all reviewed', () => {
onMarkAllReviewed: vi.fn().mockResolvedValue(undefined)
});
await expect
.element(page.getByRole('button', { name: m.transcription_mark_all_reviewed() }))
.element(page.getByRole('button', { name: /Alle als fertig markieren/ }))
.toBeInTheDocument();
});
it('does not show "Alle als fertig markieren" button when onMarkAllReviewed is not provided', async () => {
renderView({ blocks: [unreviewedBlock1, unreviewedBlock2] });
await expect
.element(page.getByRole('button', { name: m.transcription_mark_all_reviewed() }))
.element(page.getByRole('button', { name: /Alle als fertig markieren/ }))
.not.toBeInTheDocument();
});
@@ -330,7 +329,7 @@ describe('TranscriptionEditView — mark all reviewed', () => {
onMarkAllReviewed: vi.fn().mockResolvedValue(undefined)
});
await expect
.element(page.getByRole('button', { name: m.transcription_mark_all_reviewed() }))
.element(page.getByRole('button', { name: /Alle als fertig markieren/ }))
.toBeDisabled();
});
@@ -344,7 +343,7 @@ describe('TranscriptionEditView — mark all reviewed', () => {
// userEvent.click() via Playwright CDP doesn't reliably trigger Svelte 5 onclick
// handlers when a TipTap editor is mounted in the same component tree.
const btn = (await page
.getByRole('button', { name: m.transcription_mark_all_reviewed() })
.getByRole('button', { name: /Alle als fertig markieren/ })
.element()) as HTMLButtonElement;
btn.dispatchEvent(new MouseEvent('click', { bubbles: true, cancelable: true }));
await vi.waitFor(() => expect(onMarkAllReviewed).toHaveBeenCalledTimes(1));
@@ -362,83 +361,12 @@ describe('TranscriptionEditView — mark all reviewed', () => {
// Same CDP click workaround: dispatch from browser JS to reliably fire Svelte 5 onclick
const btnEl = (await page
.getByRole('button', { name: m.transcription_mark_all_reviewed() })
.getByRole('button', { name: /Alle als fertig markieren/ })
.element()) as HTMLButtonElement;
btnEl.dispatchEvent(new MouseEvent('click', { bubbles: true, cancelable: true }));
await expect
.element(page.getByRole('button', { name: m.transcription_mark_all_reviewed() }))
.element(page.getByRole('button', { name: /Alle als fertig markieren/ }))
.toBeDisabled();
resolveMarkAll();
});
it('shows error message when onMarkAllReviewed callback rejects', async () => {
const onMarkAllReviewed = vi.fn().mockRejectedValue(new Error('INTERNAL_ERROR'));
renderView({ blocks: [unreviewedBlock1, unreviewedBlock2], onMarkAllReviewed });
const btnEl = (await page
.getByRole('button', { name: m.transcription_mark_all_reviewed() })
.element()) as HTMLButtonElement;
btnEl.dispatchEvent(new MouseEvent('click', { bubbles: true, cancelable: true }));
await expect.element(page.getByRole('alert')).toBeInTheDocument();
await expect
.element(page.getByRole('alert'))
.toHaveTextContent(m.transcription_mark_all_reviewed_error());
});
it('clears error when dismiss button is clicked', async () => {
const onMarkAllReviewed = vi.fn().mockRejectedValue(new Error('INTERNAL_ERROR'));
renderView({ blocks: [unreviewedBlock1, unreviewedBlock2], onMarkAllReviewed });
const btnEl = (await page
.getByRole('button', { name: m.transcription_mark_all_reviewed() })
.element()) as HTMLButtonElement;
btnEl.dispatchEvent(new MouseEvent('click', { bubbles: true, cancelable: true }));
await expect.element(page.getByRole('alert')).toBeInTheDocument();
const dismissEl = (await page
.getByRole('button', { name: m.comp_dismiss() })
.element()) as HTMLButtonElement;
dismissEl.dispatchEvent(new MouseEvent('click', { bubbles: true, cancelable: true }));
await expect.element(page.getByRole('alert')).not.toBeInTheDocument();
});
it('clears error on next successful markAllReviewed call', async () => {
const onMarkAllReviewed = vi
.fn()
.mockRejectedValueOnce(new Error('INTERNAL_ERROR'))
.mockResolvedValue(undefined);
renderView({ blocks: [unreviewedBlock1, unreviewedBlock2], onMarkAllReviewed });
const btnEl = (await page
.getByRole('button', { name: m.transcription_mark_all_reviewed() })
.element()) as HTMLButtonElement;
btnEl.dispatchEvent(new MouseEvent('click', { bubbles: true, cancelable: true }));
await expect.element(page.getByRole('alert')).toBeInTheDocument();
// Wait for the button to be re-enabled before the second click — ensures the first
// async rejection has fully settled and Svelte has flushed state changes
await expect
.element(page.getByRole('button', { name: m.transcription_mark_all_reviewed() }))
.not.toBeDisabled();
btnEl.dispatchEvent(new MouseEvent('click', { bubbles: true, cancelable: true }));
await expect.element(page.getByRole('alert')).not.toBeInTheDocument();
});
it('re-enables button after markAllReviewed failure', async () => {
const onMarkAllReviewed = vi.fn().mockRejectedValue(new Error('INTERNAL_ERROR'));
renderView({ blocks: [unreviewedBlock1, unreviewedBlock2], onMarkAllReviewed });
const btnEl = (await page
.getByRole('button', { name: m.transcription_mark_all_reviewed() })
.element()) as HTMLButtonElement;
btnEl.dispatchEvent(new MouseEvent('click', { bubbles: true, cancelable: true }));
await expect.element(page.getByRole('alert')).toBeInTheDocument();
await expect
.element(page.getByRole('button', { name: m.transcription_mark_all_reviewed() }))
.not.toBeDisabled();
});
});

View File

@@ -1,6 +1,5 @@
import { SvelteMap } from 'svelte/reactivity';
import type { PersonMention } from '$lib/shared/types';
import { withCsrf } from '$lib/shared/cookies';
export type SaveState = 'idle' | 'saving' | 'saved' | 'fading' | 'error';
@@ -117,15 +116,12 @@ export function createBlockAutoSave({ saveFn, documentId }: Options) {
for (const [blockId, text] of pendingTexts) {
const mentions = pendingMentions.get(blockId) ?? [];
clearDebounce(blockId);
void fetch(
`/api/documents/${documentId}/transcription-blocks/${blockId}`,
withCsrf({
method: 'PUT',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({ text, mentionedPersons: mentions }),
keepalive: true
})
);
void fetch(`/api/documents/${documentId}/transcription-blocks/${blockId}`, {
method: 'PUT',
headers: { 'Content-Type': 'application/json' },
body: JSON.stringify({ text, mentionedPersons: mentions }),
keepalive: true
});
pendingTexts.delete(blockId);
pendingMentions.delete(blockId);
}

Some files were not shown because too many files have changed in this diff Show More