fix: 5 regex bugs + text extraction scroll + GT update
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Root cause: Spiegel DSI text was truncated (lazy-loading) — the
rights/DSB/complaints sections at the bottom were never extracted.

Fixes:
1. Text extraction: scroll to bottom before innerText (dsi_discovery.py)
2. V.i.S.d.P.: add "verantwortlicher i.s.v." + "§18 Abs. N MStV" pattern
3. USt-IdNr: add "umsatzsteuer-id" + "DE 212 442 423" (with spaces)
4. Profiler: remove generic "anwalt"/"praxis" (false positive on Spiegel
   "Redaktionsanwalt"), keep only "rechtsanwalt", "kanzlei" etc.
5. Section splitter: auto_fill_from_dsi() fills empty Cookie/Social-Media
   rows from sections found in the DSI text

Ground Truth 06-spiegel.md fully rewritten with verified data from
live website — 3 L1 False Negatives identified (DSB, Beschwerderecht,
Betroffenenrechte all present on website but not in extracted text).

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
This commit is contained in:
Benjamin Admin
2026-05-13 01:20:55 +02:00
parent 8bb90d73e5
commit c702260ec1
6 changed files with 194 additions and 78 deletions
@@ -168,3 +168,48 @@ def _find_section_for_type(sections: list[dict], doc_type: str) -> str | None:
return section["text"]
return None # No match → keep full text
def auto_fill_from_dsi(doc_entries: list[dict]) -> None:
"""Auto-fill empty document rows from sections found in the DSI text.
If the user only entered the DSI URL but left Cookie/Social-Media empty,
and the DSI text contains those sections, auto-fill them.
"""
# Find the DSI entry
dsi_entry = None
for entry in doc_entries:
if entry["doc_type"] in ("dse", "datenschutz", "privacy") and entry.get("text"):
dsi_entry = entry
break
if not dsi_entry:
return
dsi_text = dsi_entry["text"]
if len(dsi_text) < 300:
return
# Split DSI into sections
sections = _split_at_headings(dsi_text)
if not sections:
return
# Find empty entries that could be filled from DSI sections
filled = []
for entry in doc_entries:
if entry.get("text") or entry.get("url"):
continue # Already has content
doc_type = entry["doc_type"]
section_text = _find_section_for_type(sections, doc_type)
if section_text and len(section_text.split()) >= 30:
entry["text"] = section_text
entry["word_count"] = len(section_text.split())
entry["url"] = f"{dsi_entry.get('url', '')} (Abschnitt)"
filled.append(doc_type)
if filled:
logger.info(
"Auto-filled %d empty rows from DSI sections: %s",
len(filled), ", ".join(filled),
)