35 lines
1.5 KiB
Plaintext
35 lines
1.5 KiB
Plaintext
$ uv run tools/flow.py ops --reset
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✔ created tickets, DLQ and alerts emptied, fault switch all ok
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$ uv run tools/flow.py budget --reset
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✔ budget back to data/budget.json
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budget $1.0 / used $0.000000 · remaining $1.000000 · over False · per user 20/min · question 500 chars
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$ uv run tools/flow.py usage --clear
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✔ usage cleared: {"cleared": 0}
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$ uv run tools/flow.py off my-intake my-replay my-ops-status reference/lab02-example2-error-handler.json
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✔ unpublished my-intake (id w75a95815facf2d6)
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✔ unpublished my-replay (id w7d8de63c811909b)
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✔ unpublished my-ops-status (id w07b5812eaa88ef9)
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✔ n8n restarted. Turn it back on with: uv run tools/flow.py push <the workflow file>
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$ uv run tools/flow.py push reference/baseline-intake.json reference/nightly-report.json
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✔ pushed '76 Intake baseline (provided)' (id w4ef8dc8a25b82e3)
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POST http://localhost:5678/webhook/base-intake
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✔ pushed '76 Nightly report (provided, has a bug)' (id wb9ce32c18d7df56)
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POST http://localhost:5678/webhook/nightly-report
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$ uv run tools/flow.py doctor
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! n8n install folder /Users/mcchae/day65-n8n
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→ day 65 SETUP-N8N 5단계 (get.n8n.io 설치). 다른 곳에 설치했다면 Last3Mon/65/n8n/.env 에 N8N_HOME=<폴더>
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✔ n8n container day65-n8n-n8n-1
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✔ n8n http://localhost:5678
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✔ data API http://localhost:8800
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✔ dead letter queue /dlq · alerts · fault switch dlq (day 76 data API)
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✔ n8n → http://data-api:8800
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✔ credential 'OpenAI (.env)' (openAiCourse0001)
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✔ node catalog (for check)
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✔ CLI coding agent: codex, claude, agy
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ready
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