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

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- 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:
gitea
2026-06-14 11:24:36 -04:00
parent cc2e97bd43
commit 79b783864e
76 changed files with 2025 additions and 892 deletions
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scripts/install.sh
+15 -15
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@@ -10,7 +10,7 @@ if [ -d "$FRAMEWORK_DIR" ]; then
fi
echo "Cloning automaton to $FRAMEWORK_DIR..."
git clone https://gitea.yourdomain.com/you/automaton.git "$FRAMEWORK_DIR"
git clone http://10.37.0.86:3003/hermes/automaton "$FRAMEWORK_DIR"
echo ""
echo "=== VRAM / Context Detection ==="
@@ -18,23 +18,23 @@ echo "Detecting your system's VRAM to recommend task decomposition settings..."
echo ""
# Run VRAM detection script if it exists
if [ -f "$FRAMEWORK_DIR/scripts/vram_detect.sh" ]; then
if [ -f "$FRAMEWORK_DIR/scripts/vram_detect.py" ]; then
# Run in project-dir context so it can read framework overhead
detection_output=$(cd "$FRAMEWORK_DIR" && bash "$FRAMEWORK_DIR/scripts/vram_detect.sh" 2>&1)
# Extract JSON output (last section after "=== JSON Output ===")
json_output=$(echo "$detection_output" | sed -n '/=== JSON Output ===/,/EOF/p' | grep -v '=== JSON Output ===' | grep -v '^EOF$')
detection_output=$(cd "$FRAMEWORK_DIR" && python3 "$FRAMEWORK_DIR/scripts/vram_detect.py" 2>&1)
# Extract JSON output (the block after "=== JSON Output ===")
json_output=$(echo "$detection_output" | sed -n '/=== JSON Output ===/,$p' | tail -n +2)
if [ -n "$json_output" ]; then
echo "$detection_output"
# Extract key values from JSON for display
recommended_k=$(echo "$json_output" | grep '"recommended_k"' | grep -oP '\d+')
max_peak_kb=$(echo "$json_output" | grep '"max_peak_context_kb"' | grep -oP '\d+')
headroom=$(echo "$json_output" | grep '"headroom"' | grep -oP '\d+\.\d+')
gpu_vram=$(echo "$json_output" | grep '"gpu_vram_gb"' | grep -oP '\d+')
ram_gb=$(echo "$json_output" | grep '"ram_gb"' | grep -oP '\d+')
model_context=$(echo "$json_output" | grep '"model_context_kb"' | grep -oP '\d+')
# Extract key values from JSON using Python
recommended_k=$(echo "$json_output" | python3 -c 'import json,sys; print(json.load(sys.stdin)["recommended_k"])')
max_peak_kb=$(echo "$json_output" | python3 -c 'import json,sys; print(json.load(sys.stdin)["max_peak_context_kb"])')
headroom=$(echo "$json_output" | python3 -c 'import json,sys; print(json.load(sys.stdin)["headroom"])')
gpu_vram=$(echo "$json_output" | python3 -c 'import json,sys; print(json.load(sys.stdin)["gpu_vram_gb"])')
ram_gb=$(echo "$json_output" | python3 -c 'import json,sys; print(json.load(sys.stdin)["ram_gb"])')
model_context=$(echo "$json_output" | python3 -c 'import json,sys; print(json.load(sys.stdin)["model_context_kb"])')
echo ""
echo "=== Recommended VRAM Configuration ==="