gitea
79b783864e
- Rewrite vram_detect in Python with fixed config parsing and 10KB read limit
- Add pytest suite (72 tests) covering dashboard core, app security, and VRAM
- Standardize all prompts to .automaton/tasks/{task-name}/ path
- Reconcile dashboard spec with web implementation; remove themes.py
- Remove half-implemented refresh.py file watcher
- Harden dashboard static-file serving and task-name validation
- Add uncommitted-change guard to update.sh and real Gitea URLs
- Add AGENTS.md, Gitea CI workflow, and template documentation
33 lines
1.3 KiB
Markdown
33 lines
1.3 KiB
Markdown
# SPEC: Rewrite VRAM Detection as Python Script
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## Goal
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Replace the fragile `scripts/vram_detect.sh` with a testable Python script that produces the same JSON output.
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## Requirements
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1. Create `scripts/vram_detect.py` with the same CLI interface:
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- `--model` / `-m`
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- `--project` / `-p`
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- Optional positional model name
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2. Preserve the human-readable output sections and the `=== JSON Output ===` block.
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3. Fix known bugs:
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- Undefined `$headroom_pct` in manual mode.
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- Hardcoded `"headroom": 0.25` in JSON output.
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- GPU-counting/output ordering bug.
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- Enforce 10KB file-read limit for API config files.
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4. Delete `scripts/vram_detect.sh`.
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5. Update references in `prompts/orchestrate.md`, `prompts/decompose.md`, `prompts/onboarding.md`, `README.md`, and `config.md` to point to the Python script.
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## Acceptance Criteria
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- [ ] `python scripts/vram_detect.py` runs and emits valid JSON.
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- [ ] Manual-mode headroom is read from `config.md`, not hardcoded.
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- [ ] Large API config files are read with a 10KB limit.
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- [ ] `scripts/vram_detect.sh` no longer exists.
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- [ ] All prompts/docs reference the Python script.
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## Non-Goals
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- Changing the recommendation algorithm.
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- Adding GPU vendor detection beyond Linux `nvidia-smi`, `lspci`, and `/proc/meminfo`.
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## Stop Condition
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When all acceptance criteria are met, output "CONTRACT_MET".
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