feat(Explorer): Enhance metric extraction, source transparency, and UI display

- **Standardization & Formula Logic:** Fixed NameError/SyntaxError in formula parser; added support for comments and capitalized placeholders.
- **Source URL Tracking:** Extended DB schema and cascade logic to store and track specific source URLs.
- **Frontend & UI:**
  - Added 'Standardized Potential' display in Inspector.
  - Added clickable source link with icon.
  - Fixed Settings tab layout collapse (flex-shrink-0).
- **Export Capabilities:**
  - Single-company JSON export now includes full quantitative metadata.
  - New global CSV export endpoint /api/companies/export.
- **System Integrity:**
  - Fixed Notion sync typo ('Stanardization').
  - Corrected Nginx proxy routing and FastAPI route ordering.
  - Ensured DB persistence via explicit docker-compose volume mapping.

company-explorer/backend/app.py

@@ -104,6 +104,48 @@ def list_companies(
         logger.error(f"List Companies Error: {e}", exc_info=True)
         raise HTTPException(status_code=500, detail=str(e))
 
+@app.get("/api/companies/export")
+def export_companies_csv(db: Session = Depends(get_db)):
+    """
+    Exports a CSV of all companies with their key metrics.
+    """
+    import io
+    import csv
+    from fastapi.responses import StreamingResponse
+
+    output = io.StringIO()
+    writer = csv.writer(output)
+
+    # Header
+    writer.writerow([
+        "ID", "Name", "Website", "City", "Country", "AI Industry",
+        "Metric Name", "Metric Value", "Metric Unit", "Standardized Value (m2)",
+        "Source", "Source URL", "Confidence", "Proof Text"
+    ])
+
+    companies = db.query(Company).order_by(Company.name.asc()).all()
+
+    for c in companies:
+        writer.writerow([
+            c.id, c.name, c.website, c.city, c.country, c.industry_ai,
+            c.calculated_metric_name,
+            c.calculated_metric_value,
+            c.calculated_metric_unit,
+            c.standardized_metric_value,
+            c.metric_source,
+            c.metric_source_url,
+            c.metric_confidence,
+            c.metric_proof_text
+        ])
+
+    output.seek(0)
+    
+    return StreamingResponse(
+        output,
+        media_type="text/csv",
+        headers={"Content-Disposition": f"attachment; filename=company_export_{datetime.utcnow().strftime('%Y-%m-%d')}.csv"}
+    )
+
 @app.get("/api/companies/{company_id}")
 def get_company(company_id: int, db: Session = Depends(get_db)):
     company = db.query(Company).options(
@@ -194,6 +236,10 @@ def list_robotics_categories(db: Session = Depends(get_db)):
 def list_industries(db: Session = Depends(get_db)):
     return db.query(Industry).all()
 
+@app.get("/api/job_roles")
+def list_job_roles(db: Session = Depends(get_db)):
+    return db.query(JobRoleMapping).order_by(JobRoleMapping.pattern.asc()).all()
+
 @app.post("/api/enrich/discover")
 def discover_company(req: AnalysisRequest, background_tasks: BackgroundTasks, db: Session = Depends(get_db)):
     company = db.query(Company).filter(Company.id == req.company_id).first()
@@ -296,6 +342,49 @@ def override_impressum(company_id: int, url: str, background_tasks: BackgroundTa
     db.commit()
     return {"status": "updated"}
 
+@app.get("/api/companies/export")
+def export_companies_csv(db: Session = Depends(get_db)):
+    """
+    Exports a CSV of all companies with their key metrics.
+    """
+    import io
+    import csv
+    from fastapi.responses import StreamingResponse
+
+    output = io.StringIO()
+    writer = csv.writer(output)
+
+    # Header
+    writer.writerow([
+        "ID", "Name", "Website", "City", "Country", "AI Industry",
+        "Metric Name", "Metric Value", "Metric Unit", "Standardized Value (m2)",
+        "Source", "Source URL", "Confidence", "Proof Text"
+    ])
+
+    companies = db.query(Company).order_by(Company.name.asc()).all()
+
+    for c in companies:
+        writer.writerow([
+            c.id, c.name, c.website, c.city, c.country, c.industry_ai,
+            c.calculated_metric_name,
+            c.calculated_metric_value,
+            c.calculated_metric_unit,
+            c.standardized_metric_value,
+            c.metric_source,
+            c.metric_source_url,
+            c.metric_confidence,
+            c.metric_proof_text
+        ])
+
+    output.seek(0)
+    
+    return StreamingResponse(
+        output,
+        media_type="text/csv",
+        headers={"Content-Disposition": f"attachment; filename=company_export_{datetime.utcnow().strftime('%Y-%m-%d')}.csv"}
+    )
+
+
 def run_wikipedia_reevaluation_task(company_id: int):
     from .database import SessionLocal
     db = SessionLocal()