feat(company-explorer): add impressum scraping, robust json parsing, and enhanced ui polling

- Implemented Impressum scraping with Root-URL fallback and enhanced keyword detection.
- Added 'clean_json_response' helper to strip Markdown from LLM outputs, preventing JSONDecodeErrors.
- Improved numeric extraction for German formatting (thousands separators vs decimals).
- Updated Inspector UI with Polling logic for auto-refresh and display of AI Dossier and Legal Data.
- Added Manual Override for Website URL.

company-explorer/backend/app.py

@@ -383,6 +383,18 @@ def run_analysis_task(company_id: int, url: str):
                     )
                     db.add(new_signal)
                 
+                # Save Full Analysis Blob (Business Model + Evidence)
+                existing_analysis = db.query(EnrichmentData).filter(
+                    EnrichmentData.company_id == company.id,
+                    EnrichmentData.source_type == "ai_analysis"
+                ).first()
+                
+                if not existing_analysis:
+                    db.add(EnrichmentData(company_id=company.id, source_type="ai_analysis", content=analysis))
+                else:
+                    existing_analysis.content = analysis
+                    existing_analysis.updated_at = datetime.utcnow()
+                
                 company.status = "ENRICHED"
                 company.last_classification_at = datetime.utcnow()
                 logger.info(f"Robotics analysis complete for {company.name}.")