feat: initial Dockerized domain intelligence dashboard
- FastAPI backend with DuckDB pushdown queries on 72M parquet
- Async enrichment worker: HTTP, SSL, DNS MX, CMS fingerprint, ip-api.com
- Resumable parquet download with HTTP Range support
- Lead scoring engine (max 100 pts, target countries ES,GB,DE,FR,RO,PT,AD,IT)
- Single-file Alpine.js + Chart.js dashboard on port 6677
- SQLite enrichment DB with job queue and scores tables
- Dockerized with persistent /data volume
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-13 16:22:30 +02:00
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FROM python:3.12-slim
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WORKDIR /app
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RUN apt-get update && apt-get install -y \
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curl gcc libssl-dev && \
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rm -rf /var/lib/apt/lists/*
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COPY requirements.txt .
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RUN pip install --no-cache-dir -r requirements.txt
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COPY app/ ./app/
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feat: BeautyLeads B2B cosmetics frontend on port 7788
New service (app/beauty_main.py) sharing the same /data volume:
- Separate FastAPI app running on port 7788
- beauty_ai.py: brand universe scan (~650 brands), portfolio match
detection against OUR_BRANDS, Gemini B2B assessment prompt in Spanish
returning quality/categories/dist_matches/outreach_email
- beauty_queue table + beauty_lead_quality/beauty_assessment columns
in enriched_domains (with migrations)
- Endpoints: /api/beauty/assess/batch, /api/beauty/leads,
/api/beauty/status, /api/beauty/export, /api/beauty/reset
- Static frontend: Browse (beauty/ecommerce pre-filtered, no CMS/SSL/KD
columns), Validator, B2B Pipeline (brand chips, expandable outreach),
Pre-screen, Export CSV
- docker-compose: second 'beauty' service with shared data volume
- Dockerfile: expose 7788 alongside 6677
Also: add 'error' prescreen_status handling + UI (orange stat box,
filter option) for 4xx/5xx HTTP responses
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-05-04 19:31:10 +02:00
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EXPOSE 6677 7788
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feat: initial Dockerized domain intelligence dashboard
- FastAPI backend with DuckDB pushdown queries on 72M parquet
- Async enrichment worker: HTTP, SSL, DNS MX, CMS fingerprint, ip-api.com
- Resumable parquet download with HTTP Range support
- Lead scoring engine (max 100 pts, target countries ES,GB,DE,FR,RO,PT,AD,IT)
- Single-file Alpine.js + Chart.js dashboard on port 6677
- SQLite enrichment DB with job queue and scores tables
- Dockerized with persistent /data volume
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-13 16:22:30 +02:00
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2026-04-13 16:27:29 +02:00
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CMD ["python", "-m", "app.main"]
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