fix(classification): restore service logic and standardization formula
- Restored missing method implementations in ClassificationService (classify, extract_metrics) - Fixed Standardization Logic not being applied in metric cascade - Bumped version to v0.7.4 in config.py - Removed duplicate API endpoint in app.py - Updated MIGRATION_PLAN.md
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@@ -342,47 +342,6 @@ def override_impressum(company_id: int, url: str, background_tasks: BackgroundTa
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db.commit()
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return {"status": "updated"}
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@app.get("/api/companies/export")
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def export_companies_csv(db: Session = Depends(get_db)):
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"""
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Exports a CSV of all companies with their key metrics.
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"""
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import io
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import csv
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from fastapi.responses import StreamingResponse
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output = io.StringIO()
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writer = csv.writer(output)
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# Header
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writer.writerow([
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"ID", "Name", "Website", "City", "Country", "AI Industry",
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"Metric Name", "Metric Value", "Metric Unit", "Standardized Value (m2)",
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"Source", "Source URL", "Confidence", "Proof Text"
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])
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companies = db.query(Company).order_by(Company.name.asc()).all()
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for c in companies:
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writer.writerow([
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c.id, c.name, c.website, c.city, c.country, c.industry_ai,
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c.calculated_metric_name,
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c.calculated_metric_value,
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c.calculated_metric_unit,
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c.standardized_metric_value,
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c.metric_source,
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c.metric_source_url,
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c.metric_confidence,
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c.metric_proof_text
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])
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output.seek(0)
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return StreamingResponse(
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output,
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media_type="text/csv",
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headers={"Content-Disposition": f"attachment; filename=company_export_{datetime.utcnow().strftime('%Y-%m-%d')}.csv"}
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)
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def run_wikipedia_reevaluation_task(company_id: int):
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