fix: Add missing service modules required by agent_scan_routes
Build + Deploy / build-admin-compliance (push) Successful in 1m49s
Build + Deploy / build-backend-compliance (push) Successful in 2m57s
Build + Deploy / build-ai-sdk (push) Successful in 50s
Build + Deploy / build-developer-portal (push) Successful in 1m2s
Build + Deploy / build-tts (push) Successful in 1m23s
Build + Deploy / build-document-crawler (push) Successful in 39s
Build + Deploy / build-dsms-gateway (push) Successful in 23s
Build + Deploy / build-dsms-node (push) Successful in 10s
CI / branch-name (push) Has been skipped
CI / guardrail-integrity (push) Has been skipped
CI / loc-budget (push) Failing after 21s
CI / secret-scan (push) Has been skipped
CI / go-lint (push) Has been skipped
CI / python-lint (push) Has been skipped
CI / nodejs-lint (push) Has been skipped
CI / nodejs-build (push) Successful in 2m31s
CI / dep-audit (push) Has been skipped
CI / sbom-scan (push) Has been skipped
CI / test-go (push) Failing after 41s
CI / test-python-backend (push) Successful in 40s
CI / test-python-document-crawler (push) Successful in 25s
CI / test-python-dsms-gateway (push) Successful in 20s
CI / validate-canonical-controls (push) Successful in 13s
Build + Deploy / trigger-orca (push) Successful in 2m46s
Build + Deploy / build-admin-compliance (push) Successful in 1m49s
Build + Deploy / build-backend-compliance (push) Successful in 2m57s
Build + Deploy / build-ai-sdk (push) Successful in 50s
Build + Deploy / build-developer-portal (push) Successful in 1m2s
Build + Deploy / build-tts (push) Successful in 1m23s
Build + Deploy / build-document-crawler (push) Successful in 39s
Build + Deploy / build-dsms-gateway (push) Successful in 23s
Build + Deploy / build-dsms-node (push) Successful in 10s
CI / branch-name (push) Has been skipped
CI / guardrail-integrity (push) Has been skipped
CI / loc-budget (push) Failing after 21s
CI / secret-scan (push) Has been skipped
CI / go-lint (push) Has been skipped
CI / python-lint (push) Has been skipped
CI / nodejs-lint (push) Has been skipped
CI / nodejs-build (push) Successful in 2m31s
CI / dep-audit (push) Has been skipped
CI / sbom-scan (push) Has been skipped
CI / test-go (push) Failing after 41s
CI / test-python-backend (push) Successful in 40s
CI / test-python-document-crawler (push) Successful in 25s
CI / test-python-dsms-gateway (push) Successful in 20s
CI / validate-canonical-controls (push) Successful in 13s
Build + Deploy / trigger-orca (push) Successful in 2m46s
These files existed on the feature branch but were never cherry-picked to main, causing ModuleNotFoundError on import: - dse_parser.py — parses DSE HTML into structured sections - dse_matcher.py — matches detected services against DSE sections - mandatory_content_checker.py — checks Art. 13 DSGVO mandatory fields - legal_basis_validator.py — validates legal basis (lit. a-f) Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
This commit is contained in:
@@ -0,0 +1,202 @@
|
||||
"""
|
||||
DSE Matcher — matches detected services against DSE sections and
|
||||
generates TextReferences with original text, position, and corrections.
|
||||
"""
|
||||
|
||||
import logging
|
||||
import re
|
||||
from dataclasses import dataclass
|
||||
|
||||
from compliance.services.dse_parser import DSESection, find_section_by_content, find_section_by_category
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
# Category → typical DSE section heading keywords
|
||||
CATEGORY_SECTION_MAP = {
|
||||
"tracking": ["cookie", "tracking", "webanalyse", "analytics", "statistik", "reichweitenmessung"],
|
||||
"marketing": ["marketing", "werbung", "newsletter", "remarketing", "werbe"],
|
||||
"payment": ["zahlung", "payment", "bezahl", "zahlungsabwicklung", "zahlungsdienst"],
|
||||
"chatbot": ["chat", "kommunikation", "kundenservice", "kontakt", "livechat"],
|
||||
"cdn": ["hosting", "bereitstellung", "technisch", "infrastruktur", "content delivery"],
|
||||
"other": ["sonstig", "weitere", "dritte", "extern", "dienstleister"],
|
||||
}
|
||||
|
||||
|
||||
@dataclass
|
||||
class TextReference:
|
||||
"""Reference to a specific text block in the DSE."""
|
||||
found: bool
|
||||
source_url: str = ""
|
||||
document_type: str = "Datenschutzerklaerung"
|
||||
section_heading: str = ""
|
||||
section_number: str = ""
|
||||
parent_section: str = ""
|
||||
paragraph_index: int = 0
|
||||
original_text: str = ""
|
||||
issue: str = "" # "missing", "incomplete", "incorrect"
|
||||
correction_type: str = "" # "insert", "replace", "append"
|
||||
correction_text: str = ""
|
||||
insert_after: str = ""
|
||||
|
||||
|
||||
def match_service_to_dse(
|
||||
service_name: str,
|
||||
service_category: str,
|
||||
sections: list[DSESection],
|
||||
url: str = "",
|
||||
) -> TextReference:
|
||||
"""Find where a service is mentioned in the DSE and build a TextReference."""
|
||||
# Step 1: Search for exact service name
|
||||
section = find_section_by_content(sections, service_name)
|
||||
|
||||
if section:
|
||||
# Found — extract the relevant paragraph
|
||||
original = _extract_relevant_paragraph(section.content, service_name)
|
||||
return TextReference(
|
||||
found=True,
|
||||
source_url=url,
|
||||
section_heading=section.heading,
|
||||
section_number=section.section_number,
|
||||
parent_section=section.parent_heading,
|
||||
paragraph_index=_find_paragraph_index(section.content, service_name),
|
||||
original_text=original,
|
||||
issue="", # Found and present — caller determines if complete
|
||||
)
|
||||
|
||||
# Step 2: Search for provider name (e.g., "Google" for "Google Analytics")
|
||||
# But only if the provider name is specific enough — avoid "Google" matching YouTube
|
||||
provider = service_name.split()[0] if " " in service_name else service_name
|
||||
if len(provider) < 4 or provider.lower() in ("the", "a", "an"):
|
||||
provider = service_name # Too short/generic, use full name
|
||||
|
||||
section = find_section_by_content(sections, provider)
|
||||
# Verify: the section must actually be about THIS service, not just mention the provider
|
||||
if section and provider.lower() != service_name.lower():
|
||||
# Check if the full service name or a close variant is in the section
|
||||
content_lower = section.content.lower()
|
||||
service_words = service_name.lower().split()
|
||||
# At least 2 words of the service name must match (not just "Google")
|
||||
matching_words = sum(1 for w in service_words if w in content_lower)
|
||||
if matching_words < 2 and service_name.lower() not in content_lower:
|
||||
section = None # False match — provider name found but wrong context
|
||||
|
||||
if section:
|
||||
original = _extract_relevant_paragraph(section.content, provider)
|
||||
return TextReference(
|
||||
found=True,
|
||||
source_url=url,
|
||||
section_heading=section.heading,
|
||||
section_number=section.section_number,
|
||||
parent_section=section.parent_heading,
|
||||
paragraph_index=_find_paragraph_index(section.content, provider),
|
||||
original_text=original,
|
||||
issue="incomplete", # Provider mentioned but not specific service
|
||||
)
|
||||
|
||||
# Step 3: Not found — suggest insertion point
|
||||
insert_section = find_section_by_category(sections, service_category)
|
||||
insert_after = insert_section.heading if insert_section else ""
|
||||
|
||||
# If no category match, find the last "Cookies"/"Tracking" or "Sonstiges" section
|
||||
if not insert_after:
|
||||
for s in reversed(sections):
|
||||
h = s.heading.lower()
|
||||
if any(kw in h for kw in ["cookie", "datenschutz", "daten"]):
|
||||
insert_after = s.heading
|
||||
break
|
||||
|
||||
return TextReference(
|
||||
found=False,
|
||||
source_url=url,
|
||||
document_type="Datenschutzerklaerung",
|
||||
issue="missing",
|
||||
correction_type="insert",
|
||||
insert_after=insert_after,
|
||||
)
|
||||
|
||||
|
||||
def build_text_references(
|
||||
detected_services: list[dict],
|
||||
dse_services: list[dict],
|
||||
sections: list[DSESection],
|
||||
url: str = "",
|
||||
) -> dict[str, TextReference]:
|
||||
"""Build TextReferences for all detected services.
|
||||
|
||||
Returns dict: service_id → TextReference
|
||||
"""
|
||||
refs: dict[str, TextReference] = {}
|
||||
|
||||
for svc in detected_services:
|
||||
service_id = svc.get("id", svc.get("name", ""))
|
||||
service_name = svc.get("name", "")
|
||||
category = svc.get("category", "other")
|
||||
|
||||
ref = match_service_to_dse(service_name, category, sections, url)
|
||||
|
||||
# Check if service is in the DSE SOLL list
|
||||
dse_match = _find_in_dse_list(service_name, dse_services)
|
||||
|
||||
if ref.found and dse_match:
|
||||
ref.issue = "" # All good — documented and present
|
||||
elif ref.found and not dse_match:
|
||||
# Found in text but not in LLM extraction — still OK
|
||||
ref.issue = ""
|
||||
elif not ref.found:
|
||||
ref.issue = "missing"
|
||||
ref.correction_type = "insert"
|
||||
|
||||
refs[service_id] = ref
|
||||
|
||||
return refs
|
||||
|
||||
|
||||
def _extract_relevant_paragraph(content: str, search_term: str) -> str:
|
||||
"""Extract the paragraph containing the search term."""
|
||||
search_lower = search_term.lower()
|
||||
content_lower = content.lower()
|
||||
|
||||
# Find position of search term
|
||||
pos = content_lower.find(search_lower)
|
||||
if pos == -1:
|
||||
return content[:300]
|
||||
|
||||
# Find sentence/paragraph boundaries
|
||||
# Look backwards for paragraph break
|
||||
start = max(0, content.rfind(".", 0, pos))
|
||||
if start > 0:
|
||||
start += 2 # Skip ". "
|
||||
else:
|
||||
start = max(0, pos - 100)
|
||||
|
||||
# Look forward for end of paragraph
|
||||
end = content.find(".", pos + len(search_term))
|
||||
if end == -1 or end - pos > 500:
|
||||
end = min(len(content), pos + 300)
|
||||
else:
|
||||
end += 1 # Include the period
|
||||
|
||||
return content[start:end].strip()
|
||||
|
||||
|
||||
def _find_paragraph_index(content: str, search_term: str) -> int:
|
||||
"""Find which paragraph (1-based) contains the search term."""
|
||||
paragraphs = re.split(r"\n\n|\n(?=[A-Z])", content)
|
||||
search_lower = search_term.lower()
|
||||
for i, para in enumerate(paragraphs, 1):
|
||||
if search_lower in para.lower():
|
||||
return i
|
||||
return 0
|
||||
|
||||
|
||||
def _find_in_dse_list(service_name: str, dse_services: list[dict]) -> dict | None:
|
||||
"""Check if a service appears in the LLM-extracted DSE service list."""
|
||||
name_lower = service_name.lower()
|
||||
for svc in dse_services:
|
||||
dse_name = svc.get("name", "").lower()
|
||||
if name_lower in dse_name or dse_name in name_lower:
|
||||
return svc
|
||||
# Check first word (provider match)
|
||||
if name_lower.split()[0] in dse_name:
|
||||
return svc
|
||||
return None
|
||||
Reference in New Issue
Block a user