Malin
a7dd7927b9
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>
36 lines
878 B
YAML
36 lines
878 B
YAML
version: "3.9"
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x-common-env: &common-env
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DATA_DIR: /data
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PARQUET_URL: https://github.com/digitalcortex/72m-domains-dataset/raw/refs/heads/master/domains.parquet
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CONCURRENCY_LIMIT: 50
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SCORE_THRESHOLD: 60
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TARGET_TLDS: es,com,net
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TARGET_COUNTRIES: ES,GB,DE,FR,RO,PT,AD,IT
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REPLICATE_API_TOKEN: r8_7I7Feai78f9PzMOs20y5GVFKiLkgUWP463vZO
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AI_CONCURRENCY: 3
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services:
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dashboard:
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build: .
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ports:
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- "6677:6677"
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volumes:
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- ./data:/data
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environment:
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<<: *common-env
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restart: unless-stopped
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beauty:
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build: .
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command: python -m app.beauty_main
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ports:
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- "7788:7788"
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volumes:
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- ./data:/data # shares the same DB / parquet / duckdb
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environment:
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<<: *common-env
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depends_on:
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- dashboard # dashboard handles parquet download & index build first
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restart: unless-stopped
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