Commit Graph

4 Commits

Author SHA1 Message Date
b3fa036809 feat(company-explorer): force-refresh analysis and refine extraction logic
- Enforced fresh scrape on 'Analyze' request to bypass stale cache.
- Implemented 2-Hop Impressum scraping strategy (via Kontakt page).
- Refined numeric extraction for German locale (thousands separators).
- Updated documentation with Lessons Learned.
2026-01-08 16:14:01 +01:00
dbc3ce9b34 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.
2026-01-08 16:14:01 +01:00
a43b01bb6e feat(company-explorer): add wikipedia integration, robotics settings, and manual overrides
- Ported robust Wikipedia extraction logic (categories, first paragraph) from legacy system.
- Implemented database-driven Robotics Category configuration with frontend settings UI.
- Updated Robotics Potential analysis to use Chain-of-Thought infrastructure reasoning.
- Added Manual Override features for Wikipedia URL (with locking) and Website URL (with re-scrape trigger).
- Enhanced Inspector UI with Wikipedia profile, category tags, and action buttons.
2026-01-08 16:14:01 +01:00
95634d7bb6 feat(company-explorer): Initial Web UI & Backend with Enrichment Flow
This commit introduces the foundational elements for the new "Company Explorer" web application, marking a significant step away from the legacy Google Sheets / CLI system.

Key changes include:
- Project Structure: A new  directory with separate  (FastAPI) and  (React/Vite) components.
- Data Persistence: Migration from Google Sheets to a local SQLite database () using SQLAlchemy.
- Core Utilities: Extraction and cleanup of essential helper functions (LLM wrappers, text utilities) into .
- Backend Services: , ,  for AI-powered analysis, and  logic.
- Frontend UI: Basic React application with company table, import wizard, and dynamic inspector sidebar.
- Docker Integration: Updated  and  for multi-stage builds and sideloading.
- Deployment & Access: Integrated into central Nginx proxy and dashboard, accessible via .

Lessons Learned & Fixed during development:
- Frontend Asset Loading: Addressed issues with Vite's  path and FastAPI's .
- TypeScript Configuration: Added  and .
- Database Schema Evolution: Solved  errors by forcing a new database file and correcting  override.
- Logging: Implemented robust file-based logging ().

This new foundation provides a powerful and maintainable platform for future B2B robotics lead generation.
2026-01-07 17:55:08 +00:00