Cameron Cordes
b87eb4e690
- Add insight_generation_jobs table migration and DAO - Implement job lifecycle: create_or_get_active, complete, fail, cancel - Refactor POST /insights/generate and /agentic to async spawn with timeout - Add GET /insights/generation/status endpoint with job_id and file_path lookup - Use String for enum fields in Diesel models to avoid private Bound type - Add from_str() helpers on InsightJobStatus and InsightGenerationType - Fix update_training_messages to return Result<usize, DbError> - 7/7 DAO unit tests passing
26 lines
1.0 KiB
SQL
26 lines
1.0 KiB
SQL
-- Track async insight generation jobs so the client can poll for
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-- completion after the server returns 202 Accepted. The UNIQUE
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-- constraint on (library_id, file_path, generation_type) ensures
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-- idempotent inserts: if a running job already exists, the caller
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-- should return that job_id instead of creating a duplicate.
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CREATE TABLE insight_generation_jobs (
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id INTEGER PRIMARY KEY AUTOINCREMENT,
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library_id INTEGER NOT NULL DEFAULT 1,
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file_path TEXT NOT NULL,
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generation_type TEXT NOT NULL,
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status TEXT NOT NULL DEFAULT 'running',
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started_at INTEGER NOT NULL,
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completed_at INTEGER,
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result_insight_id INTEGER,
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error_message TEXT,
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UNIQUE(library_id, file_path, generation_type)
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);
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-- For the status endpoint: fast lookup by (library_id, file_path)
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CREATE INDEX idx_insight_gen_jobs_file
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ON insight_generation_jobs(library_id, file_path);
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-- For startup cleanup (future): prune old completed/failed jobs
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CREATE INDEX idx_insight_gen_jobs_status_cleanup
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ON insight_generation_jobs(status, started_at);
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