Harden framework: tests, VRAM Python, dashboard spec, security, CI

- 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
This commit is contained in:
2026-06-14 11:24:36 -04:00
parent cc2e97bd43
commit 79b783864e
76 changed files with 2025 additions and 892 deletions
@@ -0,0 +1,32 @@
# SPEC: Rewrite VRAM Detection as Python Script
## Goal
Replace the fragile `scripts/vram_detect.sh` with a testable Python script that produces the same JSON output.
## Requirements
1. Create `scripts/vram_detect.py` with the same CLI interface:
- `--model` / `-m`
- `--project` / `-p`
- Optional positional model name
2. Preserve the human-readable output sections and the `=== JSON Output ===` block.
3. Fix known bugs:
- Undefined `$headroom_pct` in manual mode.
- Hardcoded `"headroom": 0.25` in JSON output.
- GPU-counting/output ordering bug.
- Enforce 10KB file-read limit for API config files.
4. Delete `scripts/vram_detect.sh`.
5. Update references in `prompts/orchestrate.md`, `prompts/decompose.md`, `prompts/onboarding.md`, `README.md`, and `config.md` to point to the Python script.
## Acceptance Criteria
- [ ] `python scripts/vram_detect.py` runs and emits valid JSON.
- [ ] Manual-mode headroom is read from `config.md`, not hardcoded.
- [ ] Large API config files are read with a 10KB limit.
- [ ] `scripts/vram_detect.sh` no longer exists.
- [ ] All prompts/docs reference the Python script.
## Non-Goals
- Changing the recommendation algorithm.
- Adding GPU vendor detection beyond Linux `nvidia-smi`, `lspci`, and `/proc/meminfo`.
## Stop Condition
When all acceptance criteria are met, output "CONTRACT_MET".