65 lines
2.2 KiB
Python
65 lines
2.2 KiB
Python
import copy
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import json
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import logging
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from pathlib import Path
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from typing import Any, Dict, Optional
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logger = logging.getLogger(__name__)
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WORKFLOWS_ROOT = Path(__file__).parents[3] / "workflows"
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_REGISTRY: Dict[str, Path] = {}
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def _discover() -> None:
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_REGISTRY.clear()
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for path in WORKFLOWS_ROOT.rglob("*.json"):
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try:
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with open(path, encoding="utf-8") as handle:
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data = json.load(handle)
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meta = data.get("__animatrix_meta__", {})
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_REGISTRY[meta.get("name") or path.stem] = path
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except Exception as exc:
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logger.warning("Could not load workflow %s: %s", path, exc)
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_discover()
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def select_template_name(mode: str, submode: Optional[str]) -> str:
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if mode == "animate":
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return f"wan22_animate_{submode or 'move'}"
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if mode == "audio":
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return "wan22_s2v"
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raise ValueError(f"Unknown mode: {mode}")
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class WorkflowBinder:
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def __init__(self, template_name: str):
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if template_name not in _REGISTRY:
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_discover()
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if template_name not in _REGISTRY:
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raise FileNotFoundError(
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f"Workflow template '{template_name}' not found in {WORKFLOWS_ROOT}. Available: {list(_REGISTRY.keys())}"
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)
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with open(_REGISTRY[template_name], encoding="utf-8") as handle:
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self._raw = json.load(handle)
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self._meta = self._raw.get("__animatrix_meta__", {})
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self._param_nodes = self._meta.get("param_nodes", {})
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self.version = self._meta.get("version", "unknown")
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self.status = self._meta.get("status", "")
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def bind(self, params: Dict[str, Any]) -> Dict[str, Any]:
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workflow = copy.deepcopy(self._raw)
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workflow.pop("__animatrix_meta__", None)
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for param_key, value in params.items():
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if value is None:
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continue
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node_spec = self._param_nodes.get(param_key)
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if not node_spec:
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continue
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node_id = str(node_spec["node_id"])
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input_name = node_spec["input"]
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if node_id in workflow:
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workflow[node_id]["inputs"][input_name] = value
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return workflow
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