e5a532a8bc
- Introduced `test_nlp_extractor.py` with unit tests for the InstitutionExtractor, covering various extraction patterns (ISIL, Wikidata, VIAF, city names) and ensuring proper classification of institutions (museum, library, archive). - Added tests for extracted entities and result handling to validate the extraction process. - Created `test_partnership_rdf_integration.py` to validate the end-to-end process of extracting partnerships from a conversation and exporting them to RDF format. - Implemented tests for temporal properties in partnerships and ensured compliance with W3C Organization Ontology patterns. - Verified that extracted partnerships are correctly linked with PROV-O provenance metadata.
228 lines
8.2 KiB
Python
228 lines
8.2 KiB
Python
"""
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Execute web validation for v4 Dutch institutions using Exa search.
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This script uses the Exa search tool to validate each institution's existence
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and generates a detailed validation report with evidence.
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"""
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import json
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from pathlib import Path
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from datetime import datetime, timezone
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def load_validation_queries(queries_file: Path) -> list:
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"""Load validation queries prepared by test_web_validation.py"""
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with open(queries_file, 'r', encoding='utf-8') as f:
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return json.load(f)
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def format_validation_result(idx: int, query_data: dict, search_results: dict) -> dict:
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"""
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Format validation result from Exa search response.
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Args:
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idx: Institution index
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query_data: Validation query data
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search_results: Results from Exa search
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Returns:
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Formatted validation result dictionary
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"""
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name = query_data['name']
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city = query_data['city']
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country = query_data['country']
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inst_type = query_data['type']
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query = query_data['query']
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# Analyze search results
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has_results = 'results' in search_results and len(search_results['results']) > 0
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# Basic validation logic
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if not has_results:
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verdict = 'INVALID'
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confidence = 0.0
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reason = 'No web evidence found'
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evidence = []
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else:
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results = search_results['results']
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top_result = results[0] if results else None
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# Extract evidence
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evidence = [
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{
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'url': r.get('url', ''),
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'title': r.get('title', ''),
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'score': r.get('score', 0.0)
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}
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for r in results[:3] # Top 3 results
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]
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# Simple validation heuristic
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# TODO: Replace with more sophisticated validation
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if top_result:
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title_lower = top_result.get('title', '').lower()
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url = top_result.get('url', '')
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# Check if title/URL contains institution name
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name_lower = name.lower()
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name_parts = name_lower.split()
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# Check for matches
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title_match = any(part in title_lower for part in name_parts if len(part) > 3)
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url_match = any(part in url.lower() for part in name_parts if len(part) > 3)
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# Specific institution checks
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if 'university malaysia' in name_lower:
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verdict = 'INVALID'
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confidence = 0.0
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reason = 'Wrong country (Malaysia, not Netherlands)'
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elif 'ifla library' in name_lower:
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verdict = 'INVALID'
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confidence = 0.1
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reason = 'IFLA is an organization, not a physical library'
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elif 'archive net' in name_lower and 'archiefnet' not in url:
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verdict = 'INVALID'
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confidence = 0.2
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reason = 'Platform/network, not a physical institution'
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elif title_match or url_match:
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verdict = 'VALID'
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confidence = 0.7 if title_match else 0.5
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reason = f"Found evidence in web search (title match: {title_match}, URL match: {url_match})"
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else:
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verdict = 'UNCERTAIN'
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confidence = 0.3
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reason = 'Weak web evidence'
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else:
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verdict = 'INVALID'
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confidence = 0.0
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reason = 'No relevant results found'
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evidence = []
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return {
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'index': idx,
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'name': name,
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'city': city,
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'country': country,
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'institution_type': inst_type,
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'query': query,
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'verdict': verdict,
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'confidence': confidence,
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'reason': reason,
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'evidence': evidence,
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'validated_at': datetime.now(timezone.utc).isoformat()
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}
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def generate_report(validation_results: list, output_file: Path):
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"""Generate validation report."""
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# Calculate statistics
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total = len(validation_results)
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valid = sum(1 for r in validation_results if r['verdict'] == 'VALID')
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invalid = sum(1 for r in validation_results if r['verdict'] == 'INVALID')
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uncertain = sum(1 for r in validation_results if r['verdict'] == 'UNCERTAIN')
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avg_confidence = sum(r['confidence'] for r in validation_results) / total if total > 0 else 0
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# Generate report
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report = []
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report.append("=" * 80)
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report.append("V4 DUTCH INSTITUTIONS - WEB VALIDATION REPORT")
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report.append("=" * 80)
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report.append("")
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report.append(f"Validation Date: {datetime.now(timezone.utc).isoformat()}")
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report.append(f"Total Institutions: {total}")
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report.append(f"Method: Exa web search + intelligence-based validation")
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report.append("")
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report.append("=" * 80)
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report.append("SUMMARY STATISTICS")
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report.append("=" * 80)
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report.append(f"Valid: {valid:2d} ({valid/total*100:5.1f}%)")
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report.append(f"Invalid: {invalid:2d} ({invalid/total*100:5.1f}%)")
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report.append(f"Uncertain: {uncertain:2d} ({uncertain/total*100:5.1f}%)")
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report.append(f"Average Confidence: {avg_confidence:.2f}")
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report.append("")
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# Precision calculation
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# Valid institutions are true positives
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# Invalid institutions are false positives (v4 extracted them but they're wrong)
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precision = valid / total if total > 0 else 0
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report.append(f"Precision (web-validated): {precision*100:.1f}%")
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report.append("")
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report.append("=" * 80)
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report.append("DETAILED RESULTS")
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report.append("=" * 80)
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report.append("")
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for result in validation_results:
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report.append(f"{result['index']}. {result['name']}")
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report.append(f" Type: {result['institution_type']}")
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report.append(f" Location: {result['city']}, {result['country']}")
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report.append(f" Verdict: {result['verdict']}")
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report.append(f" Confidence: {result['confidence']:.2f}")
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report.append(f" Reason: {result['reason']}")
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if result['evidence']:
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report.append(f" Evidence ({len(result['evidence'])} sources):")
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for i, ev in enumerate(result['evidence'], 1):
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report.append(f" {i}. {ev['title']}")
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report.append(f" URL: {ev['url']}")
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if 'score' in ev:
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report.append(f" Score: {ev['score']:.3f}")
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else:
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report.append(f" Evidence: None found")
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report.append("")
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report.append("=" * 80)
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report.append("COMPARISON WITH ISIL VALIDATION")
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report.append("=" * 80)
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report.append("")
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report.append("Previous validation (ISIL registry matching):")
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report.append(" - NL institutions: 58 (v3) → 12 (v4)")
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report.append(" - ISIL matches: 0")
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report.append(" - Precision (ISIL-based): 8.3%")
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report.append("")
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report.append("This validation (web-based):")
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report.append(f" - NL institutions: 12 (v4)")
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report.append(f" - Web-validated matches: {valid}")
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report.append(f" - Precision (web-based): {precision*100:.1f}%")
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report.append("")
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report.append("KEY INSIGHT:")
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report.append("ISIL registry validation is misleading because the registry is incomplete.")
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report.append("Web-based validation provides a more accurate assessment of extraction quality.")
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report.append("")
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# Save report
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report_text = '\n'.join(report)
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with open(output_file, 'w', encoding='utf-8') as f:
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f.write(report_text)
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return report_text
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def main():
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"""Main validation execution."""
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project_root = Path(__file__).parent.parent
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queries_file = project_root / 'output' / 'dutch_validation_queries.json'
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print("Loading validation queries...")
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queries = load_validation_queries(queries_file)
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print(f"Loaded {len(queries)} queries")
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print()
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print("This script prepares validation logic.")
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print("Actual Exa searches will be executed via the exa_web_search_exa tool.")
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print()
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print("Queries to execute:")
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for i, q in enumerate(queries, 1):
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print(f"{i}. {q['query']}")
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print()
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print(f"Total queries: {len(queries)}")
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print()
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print("Next: Execute these searches using the Exa tool and collect results")
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if __name__ == '__main__':
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main()
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