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Document the raw archive spreadsheet findings (IMP-01..12) and a requirements spec for an offline normalizer that produces a clean canonical dataset before import. Local docs only; no Gitea issue yet. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
63 lines
3.2 KiB
Markdown
63 lines
3.2 KiB
Markdown
# Import Migration — Worklog
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Running log of each working session. **Resume here.** Newest entry on top.
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---
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## 2026-05-25 (session 2) — Strategy + normalizer spec
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**Did:**
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- Decided strategy with Marcel: **normalize the raw sheets first**, then import (higher
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leverage than making the Java importer tolerate every mess).
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- Locked design decisions (see spec §3): new canonical layout; dates = parsed + raw +
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precision; include person register + dedup in this effort; overrides-file + re-run loop;
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Python tool at `tools/import-normalizer/`.
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- Century rule fixed by Marcel: archive spans **1873–1957**; 2-digit `00–57`→19YY,
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`73–99`→18YY, `58–72`→flag; 3-digit→1DDD; never 20xx.
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- Wrote [`02-normalization-spec.md`](./02-normalization-spec.md) in the requirements-engineer
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persona (FR/NFR, Given-When-Then ACs, traceability to IMP-NN, TBD register).
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**All 6 open questions resolved (spec §9):** OQ-01 — movable feasts (Ostern, Pfingsten, …)
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**computed per year from Easter**, never a fixed month; seasons → mid-season month
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(Sommer=Jul, Herbst=Oct). OQ-02 ranges → start+RANGE. OQ-03 slug ids. OQ-04 — `x`-suffix rows
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**skipped + logged** this pass (they're transcriptions of the base letter, not yet mappable).
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OQ-05 → `.xlsx`. OQ-06 → conservative, no silent merge.
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**Git:** moved off the unrelated `feat/issue-356-…` branch; pulled `main`; created clean
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branch **`docs/import-migration`** and committed these docs there. (The dirty `.venv`
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pycache + `skills/implement/SKILL.md` in the tree are pre-existing/environmental noise — left
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uncommitted, not ours.)
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**Next:**
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- Marcel reviews the spec.
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- Then writing-plans → build the normalizer at `tools/import-normalizer/` (backlog B1–B7 are
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the Musts; B3 date parser incl. Easter computus is the big one).
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---
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## 2026-05-25 (session 1) — Initial analysis
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**Did:**
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- Got the real raw archive xlsx (7,943 rows) + person register (163 people). PDFs to follow.
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- Compared the new xlsx layout against `MassImportService` defaults and the old ODS.
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- Full statistical scan of all rows: dates, indices, senders/receivers, file column.
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- Wrote [`01-findings-spreadsheet-analysis.md`](./01-findings-spreadsheet-analysis.md)
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with 12 issues (IMP-01..IMP-12) + recommended sequencing.
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- Installed `openpyxl` into the OCR service venv for inspection.
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**Key facts established:**
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- Importer defaults match the **ODS**, not the new xlsx → wrong column mapping (IMP-01).
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- **90%** of dated rows (6,571 / 7,319) are free-text dates the ISO-only parser drops (IMP-02).
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- Person register is rich but **unimported**; holds the maiden-name dedup key (IMP-04/05).
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**Decisions pending from Marcel (blockers for any code work):**
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1. IMP-01: positional re-config of `app.import.col.*` vs header-driven mapping rewrite?
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2. IMP-02: how to store imprecise dates — new `dateOriginal` + `precision` columns, or lossy?
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3. IMP-04/05: format for the person/alias mapping; import persons before documents?
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4. IMP-10: are `x`-suffix rows separate documents, attachments, or skipped?
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**Next:**
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- Get Marcel's calls on the 4 decisions above.
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- Then split the code-change items into Gitea issues (IMP-01b, IMP-02, IMP-04, IMP-06, IMP-12).
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- Pure-data tasks (IMP-07 dup list, IMP-09 file reconcile) stay here.
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