feat: Vorbereitung-Module auf 100% — Compliance-Scope Backend, DELETE-Endpoints, Proxy-Fixes, blocked-content Tab
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Paket A — Kritische Blocker: - compliance_scope_routes.py: GET + POST UPSERT für sdk_states JSONB-Feld - compliance/api/__init__.py: compliance_scope_router registriert - import/route.ts: POST-Proxy für multipart/form-data Upload - screening/route.ts: POST-Proxy für Dependency-File Upload Paket B — Backend + UI: - company_profile_routes.py: DELETE-Endpoint (DSGVO Art. 17) - company-profile/route.ts: DELETE-Proxy - company-profile/page.tsx: Profil-löschen-Button mit Bestätigungs-Dialog - source-policy/pii-rules/[id]/route.ts: GET ergänzt - source-policy/operations/[id]/route.ts: GET + DELETE ergänzt Paket C — Tests + UI: - test_compliance_scope_routes.py: 27 Tests (neu) - test_import_routes.py: +36 Tests → 60 gesamt - test_screening_routes.py: +28 Tests → 80+ gesamt - source-policy/page.tsx: "Blockierte Inhalte" Tab mit Tabelle + Remove Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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@@ -85,7 +85,7 @@ class TestAnalyzeGaps:
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assert len(tom_gaps) > 0
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def test_no_gaps_for_irrelevant_text(self):
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text = "Ein einfacher Flyer ohne Datenbezug"
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text = "Ein einfacher Flyer ohne Relevanz"
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gaps = analyze_gaps(text, "OTHER")
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assert len(gaps) == 0
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@@ -112,12 +112,209 @@ class TestExtractTextFromPdf:
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result = extract_text_from_pdf(b"not a pdf")
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assert result == ""
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@patch("compliance.api.import_routes.fitz")
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def test_fitz_import_error(self, mock_fitz):
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"""When fitz is not available, returns empty string."""
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mock_fitz.open.side_effect = ImportError("No module")
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# The actual function catches ImportError internally
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result = extract_text_from_pdf(b"test")
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# Since we mocked fitz at module level it will raise differently,
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# but the function should handle it gracefully
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assert isinstance(result, str)
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def test_fitz_import_error(self):
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"""When fitz is not installed, extract_text_from_pdf returns empty string."""
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import sys
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# Temporarily hide fitz from imports
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original = sys.modules.get("fitz")
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sys.modules["fitz"] = None # type: ignore
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try:
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result = extract_text_from_pdf(b"fake pdf content")
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assert isinstance(result, str)
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finally:
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if original is None:
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sys.modules.pop("fitz", None)
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else:
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sys.modules["fitz"] = original
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# =============================================================================
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# Additional tests — extended coverage
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# =============================================================================
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class TestDetectDocumentTypeExtended:
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"""Extended tests for document type detection edge cases."""
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def test_agb_detection(self):
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text = "Allgemeine Geschaeftsbedingungen (AGB) fuer die Nutzung unserer Plattform"
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doc_type, confidence = detect_document_type(text)
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assert doc_type == "AGB"
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assert confidence >= 0.5
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def test_cookie_policy_detection(self):
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text = "Cookie-Richtlinie: Wir setzen Tracking und Einwilligung nach DSGVO ein"
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doc_type, confidence = detect_document_type(text)
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assert doc_type == "COOKIE_POLICY"
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assert confidence >= 0.5
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def test_risk_assessment_detection(self):
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text = "Risikobewertung und Risikoanalyse fuer Cloud-Services"
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doc_type, confidence = detect_document_type(text)
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assert doc_type == "RISK_ASSESSMENT"
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assert confidence >= 0.5
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def test_audit_report_detection(self):
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text = "Audit-Pruefbericht nach ISO 27001 Zertifizierung"
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doc_type, confidence = detect_document_type(text)
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assert doc_type == "AUDIT_REPORT"
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assert confidence >= 0.5
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def test_case_insensitive_matching(self):
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text = "DATENSCHUTZ-FOLGENABSCHAETZUNG NACH DSGVO"
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doc_type, confidence = detect_document_type(text)
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assert doc_type == "DSFA"
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def test_returns_tuple(self):
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result = detect_document_type("some text")
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assert isinstance(result, tuple)
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assert len(result) == 2
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def test_confidence_is_float(self):
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_, confidence = detect_document_type("some text")
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assert isinstance(confidence, float)
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def test_confidence_minimum_is_03(self):
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_, confidence = detect_document_type("")
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assert confidence == 0.3
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def test_confidence_maximum_is_095(self):
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# Jam all DSFA keywords in
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text = " ".join(["dsfa", "dpia", "datenschutz-folgenabschaetzung", "privacy impact"] * 5)
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_, confidence = detect_document_type(text)
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assert confidence <= 0.95
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def test_winning_type_has_most_keywords(self):
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# TOM has 4 keywords, DSFA has 1
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text = "technisch-organisatorische massnahmen tom technical measures dsfa"
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doc_type, _ = detect_document_type(text)
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assert doc_type == "TOM"
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def test_whitespace_only_text(self):
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doc_type, confidence = detect_document_type(" \n\t ")
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assert doc_type == "OTHER"
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assert confidence == 0.3
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def test_numbers_only_text(self):
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doc_type, confidence = detect_document_type("12345 67890")
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assert doc_type == "OTHER"
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class TestAnalyzeGapsExtended:
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"""Extended tests for gap analysis logic."""
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def test_vvt_gap_detected(self):
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text = "Verarbeitung personenbezogener Daten in unserer Plattform"
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gaps = analyze_gaps(text, "OTHER")
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vvt_gaps = [g for g in gaps if g["category"] == "VVT"]
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assert len(vvt_gaps) > 0
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def test_human_oversight_gap_detected(self):
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text = "KI-System mit autonomen Entscheidungen ohne menschliche Kontrolle"
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gaps = analyze_gaps(text, "OTHER")
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oversight_gaps = [g for g in gaps if g["category"] == "Menschliche Aufsicht"]
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assert len(oversight_gaps) > 0
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def test_no_oversight_gap_when_present(self):
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text = "KI-System mit menschlicher Aufsicht und human-in-the-loop Prozessen"
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gaps = analyze_gaps(text, "OTHER")
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oversight_gaps = [g for g in gaps if g["category"] == "Menschliche Aufsicht"]
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assert len(oversight_gaps) == 0
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def test_transparenz_gap_detected(self):
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text = "Wir setzen automatisierte Entscheidungen und Profiling ein"
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gaps = analyze_gaps(text, "OTHER")
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transp_gaps = [g for g in gaps if g["category"] == "Transparenz"]
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assert len(transp_gaps) > 0
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def test_gap_id_is_unique(self):
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text = "KI-System mit Verarbeitung und automatisierten Entscheidungen ai cloud"
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gaps = analyze_gaps(text, "OTHER")
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ids = [g["id"] for g in gaps]
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assert len(ids) == len(set(ids))
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def test_gap_id_starts_with_gap(self):
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text = "KI-Anwendung mit machine learning"
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gaps = analyze_gaps(text, "OTHER")
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if gaps:
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assert gaps[0]["id"].startswith("gap-")
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def test_related_step_id_matches_doc_type(self):
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text = "KI-Anwendung mit machine learning"
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gaps = analyze_gaps(text, "DSFA")
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if gaps:
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assert gaps[0]["related_step_id"] == "dsfa"
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def test_severity_values_are_valid(self):
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text = "KI-System mit cloud ai saas automatisierten Entscheidungen profiling"
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gaps = analyze_gaps(text, "OTHER")
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valid_severities = {"CRITICAL", "HIGH", "MEDIUM", "LOW"}
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for gap in gaps:
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assert gap["severity"] in valid_severities
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def test_returns_list(self):
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result = analyze_gaps("", "OTHER")
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assert isinstance(result, list)
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def test_all_gap_fields_present(self):
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text = "KI ki ai machine learning"
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gaps = analyze_gaps(text, "TOM")
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required_fields = {"id", "category", "description", "severity", "regulation", "required_action", "related_step_id"}
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for gap in gaps:
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assert required_fields.issubset(gap.keys())
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def test_no_false_positives_for_empty_text(self):
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gaps = analyze_gaps("", "VVT")
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assert gaps == []
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def test_multiple_gaps_can_be_detected(self):
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# Text that triggers multiple rules
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text = "ki ai cloud verarbeitung daten automatisiert profiling"
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gaps = analyze_gaps(text, "OTHER")
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assert len(gaps) >= 2
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class TestDocumentTypeKeywords:
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"""Tests for the DOCUMENT_TYPE_KEYWORDS constant."""
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def test_keywords_dict_not_empty(self):
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from compliance.api.import_routes import DOCUMENT_TYPE_KEYWORDS
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assert len(DOCUMENT_TYPE_KEYWORDS) > 0
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def test_all_types_have_keywords(self):
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from compliance.api.import_routes import DOCUMENT_TYPE_KEYWORDS
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for doc_type, keywords in DOCUMENT_TYPE_KEYWORDS.items():
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assert len(keywords) > 0, f"{doc_type} has no keywords"
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def test_dsfa_in_keywords(self):
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from compliance.api.import_routes import DOCUMENT_TYPE_KEYWORDS
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assert "DSFA" in DOCUMENT_TYPE_KEYWORDS
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def test_tom_in_keywords(self):
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from compliance.api.import_routes import DOCUMENT_TYPE_KEYWORDS
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assert "TOM" in DOCUMENT_TYPE_KEYWORDS
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class TestGapRules:
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"""Tests for the GAP_RULES constant."""
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def test_gap_rules_not_empty(self):
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from compliance.api.import_routes import GAP_RULES
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assert len(GAP_RULES) > 0
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def test_each_rule_has_required_keys(self):
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from compliance.api.import_routes import GAP_RULES
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required = {"category", "regulation", "check_keywords", "gap_if_missing", "severity", "action"}
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for rule in GAP_RULES:
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assert required.issubset(rule.keys())
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def test_check_keywords_are_lowercase(self):
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from compliance.api.import_routes import GAP_RULES
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for rule in GAP_RULES:
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for kw in rule["check_keywords"]:
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assert kw == kw.lower(), f"Keyword '{kw}' is not lowercase"
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def test_gap_if_missing_are_lowercase(self):
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from compliance.api.import_routes import GAP_RULES
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for rule in GAP_RULES:
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for kw in rule["gap_if_missing"]:
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assert kw == kw.lower(), f"Keyword '{kw}' is not lowercase"
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