ae7ba961c1
- app.py: add subprocess import; add _ensure_mcp_repo() to clone/pull danbooru-mcp from https://git.liveaodh.com/aodhan/danbooru-mcp into tools/danbooru-mcp/ at startup; add ensure_mcp_server_running() which calls _ensure_mcp_repo() then starts the Docker container if not running; add GET /api/status/comfyui and GET /api/status/mcp health endpoints; fix call_llm() to retry up to 3 times on unexpected response format (KeyError/IndexError), logging the raw response and prompting the LLM to respond with valid JSON before each retry - templates/layout.html: add ComfyUI and MCP status dot indicators to navbar; add polling JS that checks both endpoints on load and every 30s - static/style.css: add .service-status, .status-dot, .status-ok, .status-error, .status-checking styles and status-pulse keyframe animation - .gitignore: add tools/ to exclude the cloned danbooru-mcp repo
38 lines
997 B
JSON
38 lines
997 B
JSON
{
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"action_id": "chokehold",
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"action_name": "Chokehold",
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"action": {
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"full_body": "rear_naked_choke, from_behind, struggling, kneeling",
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"head": "head_back, expressionless, open_mouth",
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"eyes": "rolling_eyes, tearing_up, empty_eyes",
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"arms": "arm_around_neck, struggling, grabbing_arm",
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"hands": "clenched_hands, struggling",
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"torso": "leaning_forward, arched_back",
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"pelvis": "kneeling, bent_over",
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"legs": "kneeling, spread_legs",
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"feet": "barefoot, toes_curled",
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"additional": "distress, blushing, saliva, veins"
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},
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"lora": {
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"lora_name": "Illustrious/Poses/chokehold.safetensors",
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"lora_weight": 1.0,
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"lora_triggers": "choke hold",
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"lora_weight_min": 1.0,
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"lora_weight_max": 1.0
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},
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"tags": [
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"choke_hold",
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"rear_naked_choke",
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"strangling",
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"arm_around_neck",
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"from_behind",
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"struggling",
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"head_back",
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"clenched_teeth",
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"rolling_eyes",
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"drooling",
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"saliva",
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"ohogao"
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]
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}
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