Floke
e43e129771
- fixed Year-Prefix Bug in MetricParser - added metric_confidence and metric_proof_text to database - added Entity-Check and Annual-Priority to LLM prompt - improved UI: added confidence traffic light and mouse-over proof tooltip - restored missing API endpoints (create, bulk, wiki-override)
42 lines
1.4 KiB
Python
42 lines
1.4 KiB
Python
import sys
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import os
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import logging
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# Add backend to path
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sys.path.append(os.path.join(os.getcwd(), 'backend'))
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from backend.database import SessionLocal, Company, Industry
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from backend.services.classification import ClassificationService
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# Setup basic logging
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logging.basicConfig(level=logging.INFO)
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logger = logging.getLogger(__name__)
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def run_wolfra_reevaluation():
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db = SessionLocal()
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try:
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# Find Wolfra
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company = db.query(Company).filter(Company.name.ilike("%Wolfra%")).first()
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if not company:
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logger.error("Wolfra not found in DB")
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return
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industry = db.query(Industry).filter(Industry.name == company.industry_ai).first()
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if not industry:
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logger.error(f"Industry '{company.industry_ai}' for Wolfra not found.")
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return
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logger.info(f"Starting targeted re-evaluation for {company.name} (ID: {company.id})")
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classifier = ClassificationService()
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updated_company = classifier.reevaluate_wikipedia_metric(company, db, industry)
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logger.info("--- Re-evaluation Result ---")
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print(f"Final Calculated Metric: {updated_company.calculated_metric_value} {updated_company.calculated_metric_unit}")
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finally:
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db.close()
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if __name__ == "__main__":
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run_wolfra_reevaluation()
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