feat(normalizer): row extraction, triage, canonical record

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
This commit is contained in:
Marcel
2026-05-25 14:12:48 +02:00
parent 75b3ca8b9e
commit 3e7ddea90a
2 changed files with 116 additions and 0 deletions

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"""Document row extraction, triage, and the canonical document record."""
from dataclasses import dataclass, field
from enum import Enum, auto
class Triage(Enum):
OK = auto()
EMPTY = auto()
BLANK_INDEX = auto()
X_SUFFIX = auto()
@dataclass
class RawRow:
source_row: int
index: str = ""
file: str = ""
box: str = ""
folder: str = ""
sender: str = ""
receivers: str = ""
date: str = ""
location: str = ""
tags: str = ""
summary: str = ""
@dataclass
class CanonicalDocument:
index: str
box: str = ""
folder: str = ""
sender_person_id: str = ""
sender_name: str = ""
receiver_person_ids: list = field(default_factory=list)
receiver_names: list = field(default_factory=list)
date_iso: str = ""
date_raw: str = ""
date_precision: str = ""
location: str = ""
tags: list = field(default_factory=list)
summary: str = ""
source_row: int = 0
needs_review: list = field(default_factory=list)
_FIELDS = ["index", "file", "box", "folder", "sender", "receivers", "date", "location", "tags", "summary"]
def extract_row(cells: list[str], header: dict[str, int], source_row: int) -> RawRow:
def get(field_name):
idx = header.get(field_name)
if idx is None or idx >= len(cells):
return ""
return (cells[idx] or "").strip()
return RawRow(source_row=source_row, **{f: get(f) for f in _FIELDS})
def triage(cells: list[str], index_col: int = 0) -> Triage:
nonempty = [c for c in cells if c and str(c).strip()]
if not nonempty:
return Triage.EMPTY
index = (cells[index_col] or "").strip() if index_col < len(cells) else ""
if not index:
return Triage.BLANK_INDEX
if index.endswith("x"):
return Triage.X_SUFFIX
return Triage.OK
def classify_blank_index(cells: list[str], header: dict[str, int]) -> str:
"""REQ-TRIAGE-02: 'section_banner' if only name columns are populated, else 'data_no_index'."""
name_cols = {header.get("sender"), header.get("receivers")} - {None}
populated = {i for i, c in enumerate(cells) if c and str(c).strip()}
if populated and populated <= name_cols:
return "section_banner"
return "data_no_index"
def index_file_mismatch(index: str, file_path: str) -> bool:
if not file_path.strip():
return False
basename = file_path.replace("\\", "/").rsplit("/", 1)[-1]
stem = basename.rsplit(".", 1)[0]
return stem != index

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import documents
from documents import Triage
def test_extract_row():
header = {"index": 0, "file": 1, "box": 2, "folder": 3, "sender": 4,
"receivers": 5, "date": 6, "location": 7, "tags": 8, "summary": 9}
cells = ["W-0001", r"..\__scan\W-0001.pdf", "V", "1", "Walter de Gruyter",
"Eugenie Müller", "15.2.1888", "Rotterdam", "Brautbriefe", "Geschäftsreise"]
raw = documents.extract_row(cells, header, source_row=3)
assert raw.index == "W-0001"
assert raw.sender == "Walter de Gruyter"
assert raw.date == "15.2.1888"
assert raw.source_row == 3
def test_triage():
assert documents.triage(["", "", ""]) == Triage.EMPTY
assert documents.triage(["", "", "Walter"]) == Triage.BLANK_INDEX # data but no index
assert documents.triage(["W-0001x", "x"]) == Triage.X_SUFFIX
assert documents.triage(["W-0001", "x"]) == Triage.OK
def test_classify_blank_index():
header = {"sender": 4, "receivers": 5}
banner = ["", "", "", "", "Brautbriefe von Walter an Eugenie", ""]
data = ["", "", "V", "1", "", "Eugenie"]
assert documents.classify_blank_index(banner, header) == "section_banner"
assert documents.classify_blank_index(data, header) == "data_no_index"
def test_index_file_mismatch():
assert documents.index_file_mismatch("W-0010x", r"..\__scan\W-0011x.pdf") is True
assert documents.index_file_mismatch("W-0001", r"..\__scan\W-0001.pdf") is False
assert documents.index_file_mismatch("W-0001", "") is False