5eb17020d5
- PROMPT.md references best-practices/ files instead of inlining all knowledge
- best-practices/{memory,disk,ci,dev-agent,git}.md — loaded on demand by claude
- All alerts go to claude -p. Claude decides what to fix and what to escalate.
- update-prompt.sh targets specific best-practices files for self-learning
32 lines
1.5 KiB
Markdown
32 lines
1.5 KiB
Markdown
# CI Best Practices
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## Environment
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- Woodpecker CI at localhost:8000 (Docker backend)
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- Postgres DB: use `wpdb` helper from env.sh
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- Woodpecker API: use `woodpecker_api` helper from env.sh
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- CI images: pre-built at `registry.niovi.voyage/harb/*:latest`
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## Safe Fixes
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- Retrigger CI: push empty commit to PR branch
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```bash
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cd /tmp/harb-worktree-<issue> && git commit --allow-empty -m "ci: retrigger" --no-verify && git push origin <branch> --force
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```
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- Restart woodpecker-agent: `sudo systemctl restart woodpecker-agent`
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- View pipeline status: `wpdb -c "SELECT number, status FROM pipelines WHERE repo_id=2 ORDER BY number DESC LIMIT 5;"`
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- View failed steps: `bash ${FACTORY_ROOT}/dev/ci-debug.sh failures <pipeline-number>`
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- View step logs: `bash ${FACTORY_ROOT}/dev/ci-debug.sh logs <pipeline-number> <step-name>`
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## Dangerous (escalate)
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- Restarting woodpecker-server (drops all running pipelines)
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- Modifying pipeline configs in `.woodpecker/` directory
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## Known Issues
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- Codeberg rate-limits SSH clones. `git` step fails with exit 128. Retrigger usually works.
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- `log_entries` table grows fast (was 5.6GB once). Truncate periodically.
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- Running CI + harb stack = 14+ containers on 8GB. Memory pressure is real.
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- CI images take hours to rebuild. Never run `docker system prune -a`.
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## Lessons Learned
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- Exit code 128 on git step = Codeberg rate limit, not a code problem. Retrigger.
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- Exit code 137 = OOM kill. Check memory, kill stale processes, retrigger.
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- `node-quality` step fails on eslint/typescript errors — these need code fixes, not CI fixes.
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