41 lines
2.1 KiB
Markdown
41 lines
2.1 KiB
Markdown
---
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estimated_steps: 12
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estimated_files: 3
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skills_used: []
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---
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# T02: Seed acceptance-ready job data
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Create a seed script that prepares a richer acceptance fixture (job, correspondence, saved package, follow-up readiness) using live API calls.
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- Why: current DB has only 1 low-signal job; acceptance rerun needs actionable overview + workspace state.
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- Steps:
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1) Write `scripts/s06-acceptance-data.sh` (bash, executable) that requires `AUTH_TOKEN` env; uses `scripts/s06-preflight.sh` first, then POSTs to `/api/jobapplications` (or PUT existing ID) to create a job with saved package fields, correspondence entry, reminder/follow-up signals, and notes.
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2) Add curl helpers for adding correspondence (`/api/correspondence/{jobId}` or equivalent), saving package material, and setting workflow/readiness if needed; use deterministic titles so rerun is idempotent (update if exists).
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3) Emit a short summary of created/updated IDs so the acceptance run can target them; avoid logging token.
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4) Document any manual token retrieval step in script comments.
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- Failure Modes (Q5): missing AUTH_TOKEN → fail with guidance; 401/403 → explain token issue; 5xx → print response and fail; malformed response → show body and fail.
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- Load Profile (Q6): few API calls; minimal DB impact.
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- Negative Tests (Q7): run without AUTH_TOKEN (expect failure); rerun twice (should succeed idempotently); simulate 401 by bad token (expect clear message).
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- Must-haves: script seeds at least one job with saved package + correspondence + follow-up readiness; outputs job id for UAT; uses preflight.
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- Verification: `bash scripts/s06-acceptance-data.sh`
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## Inputs
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- ``scripts/s06-preflight.sh``
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- ``README.md``
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- ``JobTrackerApi/Controllers/JobApplicationsController.cs``
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- ``JobTrackerApi/Controllers/CorrespondenceController.cs``
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## Expected Output
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- ``scripts/s06-acceptance-data.sh``
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- ``README.md``
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## Verification
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bash scripts/s06-acceptance-data.sh
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## Observability Impact
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Provides seed summary output (job id, correspondence count) to inspect readiness; failures surface via script exit and printed API responses.
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