Phase A: Audit-Restbefunde #57.3/4/7 (Roadmap #59)
Drei verbleibende Audit-Befunde aus #57 in einem Patch: - **#57.3 MEDIUM** Drucksache-Regex-Validation: neue app/validators.py mit validate_drucksache() als gemeinsamer Validation-Funnel. Pattern ^\d{1,3}/\d{1,7}([-(].{1,20})?$ deckt alle 10 aktiven Bundesländer (8/6390, 18/12345, 8/6390(neu), 23/3700-A) ab und blockt Path-Traversal (../, /etc/passwd) plus Standard-Injection (;, <, &). Drei Endpoints durchgeschleust: /api/assessment, /api/assessment/pdf, /api/analyze-drucksache. - **#57.4 MEDIUM** print() → logging.getLogger(__name__): main.py und analyzer.py auf strukturiertes Logging umgestellt. LLM-Inhalte werden NICHT mehr als Volltext geloggt — neue Helper _content_fingerprint() liefert nur "len=N sha1=XXXX", reicht zur Forensik ohne Antrag-Inhalte ins Container-Log zu leaken. basicConfig() mit ISO-Format setzt strukturiertes Logging früh, damit logger.exception() auch beim Boot greift. - **#57.7 LOW-MED** Search-Query-Limit: validate_search_query() mit MAX_SEARCH_QUERY_LEN=200 schützt /api/search und /api/search-landtag vor 10-MB-Query-DoS. database._parse_search_query() loggt jetzt shlex.ValueError-Fallback statt ihn zu verschlucken (deckt Memory- Regel "stille excepts in Adaptern" ab). Tests: neue tests/test_main_validators.py mit 22 Cases — Drucksache- Whitelist-Roundtrip + Path-Traversal-Reject, Search-Query Längen- Edge-Cases. 107 Unit-Tests grün (85 alt + 22 neu). Validators in eigenem Modul (app/validators.py), damit Tests sie ohne slowapi-Dependency direkt importieren können. Refs: #57, #59 (Phase A) Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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@ -1,6 +1,8 @@
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"""LLM-based analysis of parliamentary motions against GWÖ matrix."""
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"""LLM-based analysis of parliamentary motions against GWÖ matrix."""
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import hashlib
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import json
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import json
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import logging
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import re
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import re
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from pathlib import Path
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from pathlib import Path
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@ -16,6 +18,19 @@ from .wahlprogramme import (
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)
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)
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from .embeddings import get_relevant_quotes_for_antrag, format_quotes_for_prompt, EMBEDDINGS_DB
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from .embeddings import get_relevant_quotes_for_antrag, format_quotes_for_prompt, EMBEDDINGS_DB
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logger = logging.getLogger(__name__)
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def _content_fingerprint(content: str) -> str:
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"""Cheap, log-safe identifier for an LLM response: length + first 8 chars
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of SHA-1. Lets us correlate retries without ever leaking the LLM's
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actual output (which may contain sensitive Antrags-Inhalte). Issue
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#57 Befund #4."""
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if not content:
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return "len=0"
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h = hashlib.sha1(content.encode("utf-8", errors="replace")).hexdigest()[:8]
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return f"len={len(content)} sha1={h}"
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# Load context files
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# Load context files
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KONTEXT_DIR = Path(__file__).parent / "kontext"
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KONTEXT_DIR = Path(__file__).parent / "kontext"
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@ -231,8 +246,8 @@ async def analyze_antrag(text: str, bundesland: str = "NRW", model: str = "qwen-
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text, fraktionen, bundesland=bundesland, top_k_per_partei=2,
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text, fraktionen, bundesland=bundesland, top_k_per_partei=2,
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)
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)
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quotes_context = format_quotes_for_prompt(semantic_quotes)
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quotes_context = format_quotes_for_prompt(semantic_quotes)
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except Exception as e:
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except Exception:
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print(f"Semantic search failed: {e}, falling back to keyword search")
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logger.exception("Semantic search failed, falling back to keyword search")
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quotes = find_relevant_quotes(text, fraktionen, bundesland=bundesland)
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quotes = find_relevant_quotes(text, fraktionen, bundesland=bundesland)
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quotes_context = format_quote_for_prompt(quotes)
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quotes_context = format_quote_for_prompt(quotes)
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else:
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else:
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@ -305,11 +320,17 @@ Ausgabe als reines JSON ohne Markdown-Codeblöcke."""
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return Assessment.model_validate(data)
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return Assessment.model_validate(data)
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except json.JSONDecodeError as e:
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except json.JSONDecodeError as e:
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last_error = e
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last_error = e
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print(f"JSON parse error on attempt {attempt + 1}/{max_retries}: {e}")
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logger.warning(
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"LLM JSON parse error attempt %d/%d (%s) — content %s",
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attempt + 1, max_retries, e, _content_fingerprint(content),
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)
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if attempt < max_retries - 1:
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if attempt < max_retries - 1:
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print(f"Retrying with higher temperature...")
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continue
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continue
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else:
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else:
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# Log the problematic content for debugging
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# Letzter Fehlversuch — Fingerprint reicht zur Forensik;
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print(f"Failed JSON content (first 500 chars): {content[:500]}")
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# Volltext darf nicht ins Log, weil er Antrag-Inhalte enthält
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logger.error(
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"LLM JSON parsing exhausted retries, content %s",
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_content_fingerprint(content),
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)
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raise
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raise
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@ -274,12 +274,18 @@ def _parse_search_query(query: str) -> tuple[list[str], bool]:
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return ([exact.lower()], True)
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return ([exact.lower()], True)
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# Extract quoted phrases and regular terms
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# Extract quoted phrases and regular terms
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import logging
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import shlex
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import shlex
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try:
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try:
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parts = shlex.split(query)
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parts = shlex.split(query)
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except ValueError:
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except ValueError as e:
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# Unbalanced quote — fall back to whitespace split, but log so we
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# notice patterns of malformed queries (Issue #57 Befund #7).
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logging.getLogger(__name__).warning(
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"shlex.split failed on search query (%s), falling back to whitespace split", e
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)
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parts = query.split()
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parts = query.split()
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return ([p.lower() for p in parts], False)
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return ([p.lower() for p in parts], False)
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35
app/main.py
35
app/main.py
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"""GWÖ-Antragsprüfer — FastAPI Webapp."""
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"""GWÖ-Antragsprüfer — FastAPI Webapp."""
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import logging
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import uuid
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import uuid
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from pathlib import Path
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from pathlib import Path
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from typing import Optional
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from typing import Optional
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@ -13,6 +14,21 @@ from slowapi import Limiter, _rate_limit_exceeded_handler
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from slowapi.util import get_remote_address
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from slowapi.util import get_remote_address
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from slowapi.errors import RateLimitExceeded
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from slowapi.errors import RateLimitExceeded
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from .validators import (
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MAX_SEARCH_QUERY_LEN,
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validate_drucksache,
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validate_search_query,
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)
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# Strukturiertes Logging für die ganze App. uvicorn registriert seinen
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# eigenen Root-Handler erst beim Start; wir setzen ein neutrales Format
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# für unsere Module früh, damit logger.exception() auch beim Boot greift.
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logging.basicConfig(
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level=logging.INFO,
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format="%(asctime)s %(levelname)-7s %(name)s: %(message)s",
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)
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logger = logging.getLogger(__name__)
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from .config import settings
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from .config import settings
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from .database import (
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from .database import (
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init_db, get_job, create_job, update_job,
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init_db, get_job, create_job, update_job,
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@ -268,6 +284,7 @@ async def list_assessments(bundesland: Optional[str] = None):
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@app.get("/api/assessment")
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@app.get("/api/assessment")
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async def get_single_assessment(drucksache: str):
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async def get_single_assessment(drucksache: str):
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"""Get a single assessment by drucksache ID."""
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"""Get a single assessment by drucksache ID."""
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drucksache = validate_drucksache(drucksache)
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row = await get_assessment(drucksache)
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row = await get_assessment(drucksache)
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if not row:
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if not row:
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raise HTTPException(status_code=404, detail="Assessment nicht gefunden")
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raise HTTPException(status_code=404, detail="Assessment nicht gefunden")
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@ -301,7 +318,8 @@ async def get_single_assessment(drucksache: str):
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async def download_assessment_pdf(drucksache: str):
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async def download_assessment_pdf(drucksache: str):
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"""Generate and download PDF for an assessment."""
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"""Generate and download PDF for an assessment."""
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from .models import Assessment
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from .models import Assessment
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drucksache = validate_drucksache(drucksache)
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row = await get_assessment(drucksache)
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row = await get_assessment(drucksache)
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if not row:
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if not row:
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raise HTTPException(status_code=404, detail="Assessment nicht gefunden")
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raise HTTPException(status_code=404, detail="Assessment nicht gefunden")
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@ -361,6 +379,7 @@ async def search_internal(
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"""
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"""
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Search internal assessments database only.
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Search internal assessments database only.
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"""
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"""
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q = validate_search_query(q)
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db_results = await search_assessments(q, bundesland, limit)
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db_results = await search_assessments(q, bundesland, limit)
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results = []
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results = []
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@ -394,6 +413,7 @@ async def search_landtag(
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Requires a concrete Bundesland — the special "ALL" / Bundesweit mode
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Requires a concrete Bundesland — the special "ALL" / Bundesweit mode
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cannot pick a single Landtag adapter and is rejected with HTTP 400.
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cannot pick a single Landtag adapter and is rejected with HTTP 400.
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"""
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"""
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q = validate_search_query(q)
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if not bundesland or bundesland == "ALL":
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if not bundesland or bundesland == "ALL":
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raise HTTPException(
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raise HTTPException(
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status_code=400,
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status_code=400,
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@ -420,7 +440,7 @@ async def search_landtag(
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})
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})
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return results
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return results
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except Exception as e:
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except Exception as e:
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print(f"Landtag search error: {e}")
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logger.exception("Landtag search error for q=%r bundesland=%s", q, bundesland)
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return {"error": f"Suchfehler: {str(e)}"}
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return {"error": f"Suchfehler: {str(e)}"}
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@ -437,6 +457,7 @@ async def analyze_drucksache(
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"""
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"""
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Download a document from parliament portal and analyze it.
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Download a document from parliament portal and analyze it.
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"""
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"""
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drucksache = validate_drucksache(drucksache)
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# Check if already analyzed
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# Check if already analyzed
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existing = await get_assessment(drucksache)
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existing = await get_assessment(drucksache)
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if existing:
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if existing:
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@ -527,9 +548,9 @@ async def run_drucksache_analysis(
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pdf_path=str(pdf_path),
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pdf_path=str(pdf_path),
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)
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)
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except Exception as e:
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except Exception as e:
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import traceback
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# Volltext-Stack via logger.exception, NICHT via print — landet so im
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print(f"ERROR in run_drucksache_analysis for {drucksache}: {e}")
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# strukturierten Container-Log und wird vom logging-Framework formatiert
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print(traceback.format_exc())
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logger.exception("run_drucksache_analysis failed for drucksache=%s", drucksache)
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await update_job(job_id, status="failed", error=str(e))
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await update_job(job_id, status="failed", error=str(e))
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@ -603,8 +624,8 @@ async def index_programme(
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for prog_id in PROGRAMME.keys():
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for prog_id in PROGRAMME.keys():
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try:
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try:
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index_programm(prog_id, pdf_dir)
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index_programm(prog_id, pdf_dir)
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except Exception as e:
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except Exception:
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print(f"Error indexing {prog_id}: {e}")
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logger.exception("Error indexing programme %s", prog_id)
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background_tasks.add_task(index_all_sequential)
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background_tasks.add_task(index_all_sequential)
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return {"status": "indexing", "programmes": list(PROGRAMME.keys())}
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return {"status": "indexing", "programmes": list(PROGRAMME.keys())}
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48
app/validators.py
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48
app/validators.py
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"""Input-Validators für die FastAPI-Endpoints.
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Eigenes Modul, damit die Unit-Tests die Helper direkt importieren können
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ohne den vollen FastAPI-/slowapi-Stack aus app.main mitzuziehen. Issue
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#57 Befunde #3 (Path-Traversal via drucksache) und #7 (Search-Query-DoS).
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"""
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from __future__ import annotations
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import re
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from fastapi import HTTPException
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# Drucksache-Format: erlaubt sind alle bisher in den 10 aktiven Bundesländern
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# beobachteten Schreibweisen — z.B. "8/6390", "18/12345", "8/6390(neu)",
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# "23/3700-A". Restriktiv genug, um Path-Traversal (../, /etc/passwd) und
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# trivial-injection (?, ;, <, >, &, =) abzufangen.
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_DRUCKSACHE_RE = re.compile(r"^\d{1,3}/\d{1,7}([-(].{1,20})?$")
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def validate_drucksache(drucksache: str) -> str:
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"""Lehnt jede Drucksache-ID ab, die nicht dem erwarteten Format
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entspricht. Gemeinsamer Validation-Funnel für alle Endpoints, die
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``drucksache`` als Parameter nehmen. Issue #57 Befund #3.
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"""
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if not drucksache or not _DRUCKSACHE_RE.match(drucksache):
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raise HTTPException(
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status_code=400,
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detail=f"Ungültige Drucksache-ID: {drucksache!r}",
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)
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return drucksache
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# Längen-Limit für freie Search-Queries — verhindert, dass jemand mit einem
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# 10-MB-Query die SQL-LIKE-Pattern oder den HTTP-Adapter aushungert.
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# Issue #57 Befund #7.
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MAX_SEARCH_QUERY_LEN = 200
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def validate_search_query(q: str) -> str:
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if q is None:
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raise HTTPException(status_code=400, detail="Suchbegriff fehlt")
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if len(q) > MAX_SEARCH_QUERY_LEN:
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raise HTTPException(
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status_code=400,
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detail=f"Suchbegriff zu lang (max {MAX_SEARCH_QUERY_LEN} Zeichen, war {len(q)})",
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)
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return q
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91
tests/test_main_validators.py
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91
tests/test_main_validators.py
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"""Tests für die FastAPI-Validation-Helper aus app.main.
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Issue #57 Befund #3 (Path-Traversal via drucksache) und #7 (Query-DoS).
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Wir importieren die Helper direkt — keine TestClient-Roundtrip nötig,
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weil die Funktionen reine Validierung sind und die FastAPI-Integration
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in app.main den richtigen Aufrufpfad bereits vorgibt.
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"""
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from __future__ import annotations
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import pytest
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from fastapi import HTTPException
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from app.validators import (
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MAX_SEARCH_QUERY_LEN,
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validate_drucksache,
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validate_search_query,
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)
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# ─────────────────────────────────────────────────────────────────────────────
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# validate_drucksache (Befund #3 — Path-Traversal-Härtung)
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# ─────────────────────────────────────────────────────────────────────────────
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class TestValidateDrucksache:
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@pytest.mark.parametrize(
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"valid",
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[
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"8/6390",
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"18/12345",
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"23/3700",
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"20/4309",
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"8/6390(neu)",
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"23/3700-A",
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],
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)
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def test_accepts_known_real_formats(self, valid):
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assert validate_drucksache(valid) == valid
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@pytest.mark.parametrize(
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"evil",
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[
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"../../etc/passwd",
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"8/6390/../../../etc/shadow",
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"8/6390;rm -rf /",
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"8/6390?bundesland=NRW",
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"<script>alert(1)</script>",
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"8/6390 OR 1=1",
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"",
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"/",
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"8//6390",
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"abc/def",
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"8/abc",
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],
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)
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def test_rejects_path_traversal_and_injection(self, evil):
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with pytest.raises(HTTPException) as exc:
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validate_drucksache(evil)
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assert exc.value.status_code == 400
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# ─────────────────────────────────────────────────────────────────────────────
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# validate_search_query (Befund #7 — Query-Length-DoS)
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# ─────────────────────────────────────────────────────────────────────────────
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class TestValidateSearchQuery:
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|
def test_short_query_passes(self):
|
||||||
|
assert validate_search_query("Klimaschutz") == "Klimaschutz"
|
||||||
|
|
||||||
|
def test_at_limit_passes(self):
|
||||||
|
q = "x" * MAX_SEARCH_QUERY_LEN
|
||||||
|
assert validate_search_query(q) == q
|
||||||
|
|
||||||
|
def test_over_limit_rejected(self):
|
||||||
|
q = "x" * (MAX_SEARCH_QUERY_LEN + 1)
|
||||||
|
with pytest.raises(HTTPException) as exc:
|
||||||
|
validate_search_query(q)
|
||||||
|
assert exc.value.status_code == 400
|
||||||
|
assert "zu lang" in exc.value.detail.lower()
|
||||||
|
|
||||||
|
def test_none_query_rejected(self):
|
||||||
|
with pytest.raises(HTTPException) as exc:
|
||||||
|
validate_search_query(None) # type: ignore[arg-type]
|
||||||
|
assert exc.value.status_code == 400
|
||||||
|
|
||||||
|
def test_empty_string_passes(self):
|
||||||
|
# Eine leere Query ist semantisch ok (Frontend nutzt sie für
|
||||||
|
# "alle Drucksachen") — die Längen-Validierung soll nur den
|
||||||
|
# absurd großen Fall blocken, nicht den leeren.
|
||||||
|
assert validate_search_query("") == ""
|
||||||
Loading…
Reference in New Issue
Block a user