fetch-meta-from-kb

Fetch recent `journals` rows directly from PostgreSQL and return a JSON array containing `doi`, `title`, `abstract`, and `date` (filtered by rolling `DAYS` on `created_at`). Use when users need raw paper payloads for downstream processing without LLM filtering or hotspot report generation.

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Install skill "fetch-meta-from-kb" with this command: npx skills add tiangong-ai/skills/tiangong-ai-skills-fetch-meta-from-kb

Fetch Meta from KB

Workflow

  1. Read DB env vars from .env or process env: KB_DB_HOST, KB_DB_PORT, KB_DB_NAME, KB_DB_USER, KB_DB_PASSWORD.
  2. Query journals where created_at >= now_utc - DAYS, ordered by created_at DESC, selecting only doi, title, abstract, date.
  3. Return/write JSON array records with exactly these fields: doi, title, abstract, date.

Script

Run:

cd fetch-meta-from-kb
python3 scripts/fetch_meta_from_kb.py --days 7 --output selected-abstract.json

Env example:

KB_DB_HOST=<HOST>
KB_DB_PORT=5432
KB_DB_NAME=<DATABASE>
KB_DB_USER=<USER>
KB_DB_PASSWORD=<PASSWORD>

Output Rules

  • Return UTF-8 JSON.
  • Keep each item as: doi, title, abstract, date.
  • Do not output DB credentials.

Source Transparency

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