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
40 lines
1.1 KiB
JSON
40 lines
1.1 KiB
JSON
{
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"action_id": "petplay",
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"action_name": "Petplay",
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"action": {
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"full_body": "on all fours, crawling position, mimicking animal posture",
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"head": "tilted up, looking deep into camera, wearing collar",
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"eyes": "wide puppy eyes, pleading gaze",
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"arms": "extended straight down to floor",
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"hands": "palms flat on ground, supporting upper body weight",
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"torso": "parallel to the floor, arched back",
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"pelvis": "hips raised, rear facing out",
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"legs": "knees bent and resting on the floor",
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"feet": "toes curled on ground",
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"additional": "leash attached to collar, animal ears, tail"
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},
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"participants": {
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"solo_focus": "true",
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"orientation": "MF"
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},
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"lora": {
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"lora_name": "Illustrious/Poses/Petplay.safetensors",
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"lora_weight": 1.0,
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"lora_triggers": "Petplay",
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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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"petplay",
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"all fours",
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"on hands and knees",
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"collar",
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"leash",
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"submissive",
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"human cleaner",
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"dog girl",
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"cat girl",
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"animal ears"
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]
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}
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