Refactor the exporter into a package-backed module layout.

Split the previous monolithic implementation into focused modules for CLI handling, workflow loading, runtime bootstrap, load ordering, planning, rendering, and file I/O. Keep the public compatibility surface intact by preserving the legacy top-level wrapper while adding  as the documented entrypoint. This reduces cross-cutting coupling inside the exporter and makes the runtime/bootstrap behavior easier to evolve without carrying unrelated concerns in one file.

comfyui_to_python/load_order.py

@@ -0,0 +1,43 @@
+from typing import Dict
+
+
+class LoadOrderDeterminer:
+    """Determine workflow execution order with loader-like nodes prioritized."""
+
+    def __init__(self, data: Dict, node_class_mappings: Dict):
+        self.data = data
+        self.node_class_mappings = node_class_mappings
+        self.visited = {}
+        self.load_order = []
+        self.is_special_function = False
+
+    def determine_load_order(self) -> list[tuple[str, Dict, bool]]:
+        self._load_special_functions_first()
+        self.is_special_function = False
+        for key in self.data:
+            if key not in self.visited:
+                self._dfs(key)
+        return self.load_order
+
+    def _dfs(self, key: str) -> None:
+        self.visited[key] = True
+        inputs = self.data[key]["inputs"]
+        for value in inputs.values():
+            if isinstance(value, list) and value[0] not in self.visited:
+                self._dfs(value[0])
+        self.load_order.append((key, self.data[key], self.is_special_function))
+
+    def _load_special_functions_first(self) -> None:
+        for key in self.data:
+            class_def = self.node_class_mappings[self.data[key]["class_type"]]()
+            if (
+                class_def.CATEGORY == "loaders"
+                or class_def.FUNCTION in ["encode"]
+                or not any(
+                    isinstance(value, list)
+                    for value in self.data[key]["inputs"].values()
+                )
+            ):
+                self.is_special_function = True
+                if key not in self.visited:
+                    self._dfs(key)