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
37 lines
990 B
JSON
37 lines
990 B
JSON
{
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"action_id": "glans_handjob",
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"action_name": "Glans Handjob",
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"action": {
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"full_body": "close-up macro shot focusing on the genital area",
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"head": "out of frame",
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"eyes": "out of frame",
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"arms": "forearm visible, reaching down",
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"hands": "wrapping around the penis, fingers specifically gathering around and stimulating the glans, thumb rubbing the tip",
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"torso": "lower abdomen visible",
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"pelvis": "stationary",
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"legs": "thighs partially visible",
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"feet": "out of frame",
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"additional": "intense focus on the head of the penis, touching glans"
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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/glans_handjob.safetensors",
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"lora_weight": 1.0,
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"lora_triggers": "glans_handjob",
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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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"handjob",
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"glans",
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"penis",
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"stimulation",
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"close-up",
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"nsfw",
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"rubbing"
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]
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}
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