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
27 lines
1.1 KiB
Markdown
27 lines
1.1 KiB
Markdown
# Implementation: Rewrite VRAM Detection as Python Script
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## Summary
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Replaced `scripts/vram_detect.sh` with `scripts/vram_detect.py`, a testable Python implementation that produces the same JSON output and fixes several bugs.
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## Files Changed
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- `scripts/vram_detect.py` (new)
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- `scripts/vram_detect.sh` (deleted)
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- `scripts/install.sh` — updated to run Python script and parse JSON with Python
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- `README.md` — updated references
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- `prompts/onboarding.md` — updated references and invocation
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- `prompts/decompose.md` — updated references
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- `prompts/orchestrate.md` — updated references
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## Bugs Fixed
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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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- Code-block values in `config.md` being parsed as live config.
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- GPU-counting/output ordering bug.
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- 10KB file-read limit now enforced for API config files.
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## Verification
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- `python scripts/vram_detect.py` runs and emits valid JSON.
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- `python scripts/vram_detect.py gpt-4o` detects 128k context.
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- `python scripts/vram_detect.py --model claude-3-5-sonnet` detects 200k context.
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- `rg "vram_detect\.sh" README.md scripts/install.sh prompts/` returns no matches.
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