Base functionality

I've had the cache eviction working for several months, but with changes
to execution order, it's now actually usable.

__init__.py

@@ -0,0 +1,5 @@
+from . import mincache
+
+NODE_CLASS_MAPPINGS = {}
+NODE_DISPLAY_NAME_MAPPINGS = {}
+__all__ = ["NODE_CLASS_MAPPINGS", "NODE_DISPLAY_NAME_MAPPINGS"]

mincache.py

@@ -0,0 +1,75 @@
+#Experimental eager cache eviction
+#Expect things to break if any dynamic prompts are used
+import functools
+from comfy_execution.caching import HierarchicalCache, CacheKeySetInputSignature, CacheKeySetID
+from comfy_execution import graph
+import execution
+
+def is_link(inp):
+    return isinstance(inp, list) and len(inp) == 2
+def link_count(dynprompt, node_id):
+    return sum([is_link(x) for x in dynprompt.get_node(node_id)['inputs'].values()])
+
+class MinCache(HierarchicalCache):
+    def set_prompt(self, dynprompt, node_ids, is_changed_cache):
+        super().set_prompt(dynprompt, node_ids, is_changed_cache)
+        self.dependents = {}
+        for node_id in node_ids:
+            inputs = dynprompt.get_node(node_id)['inputs']
+            for inp in inputs.values():
+                if isinstance(inp, list) and len(inp) == 2:
+                    if inp[0] not in self.dependents:
+                        self.dependents[inp[0]] = []
+                    self.dependents[inp[0]].append(node_id)
+    def set(self, node_id, value):
+        super().set(node_id, value)
+        inputs = self.dynprompt.get_node(node_id)['inputs']
+        for inp in inputs.values():
+            if not is_link(inp):
+                continue
+            input_id = inp[0]
+            self.dependents[input_id].remove(node_id)
+            if len(self.dependents[input_id]) == 0:
+                cache_key = self.cache_key_set.get_data_key(input_id)
+                del self.cache[cache_key]
+
+def init_cache(self):
+    self.outputs = MinCache(CacheKeySetInputSignature)
+    self.ui = HierarchicalCache(CacheKeySetInputSignature)
+    self.objects = HierarchicalCache(CacheKeySetID)
+execution.CacheSet.init_classic_cache = init_cache
+
+class MincacheExecutionList(graph.ExecutionList):
+    def __init__(self, *args, **kwargs):
+        print('init')
+        super().__init__(*args, **kwargs)
+        self.depth = {}
+    def stage_node_execution(self):
+        assert self.staged_node_id is None
+        if self.is_empty():
+            return None, None, None
+        available = self.get_ready_nodes()
+        if len(available) == 0:
+            #aint got time for this
+            return super().stage_node_execution()
+        available.sort(key=lambda x: (-link_count(self.dynprompt, x),
+                                      -self.depth.get(x,0),
+                                      len(self.blocking[x]), x))
+        print([self.dynprompt.get_node(x)['class_type'] for x in available])
+        self.staged_node_id = available[0]
+        return self.staged_node_id, None, None
+    def add_strong_link(self, from_node_id, from_socket, to_node_id):
+        super().add_strong_link(from_node_id, from_socket, to_node_id)
+        self.depth[from_node_id] = max(self.depth.get(to_node_id, 0) + 1,
+                                       self.depth.get(from_node_id, 0))
+execution.ExecutionList = MincacheExecutionList
+
+'''
+Prioritize
+- A computation that allows clearing a cached result
+- A computation that progresses towards clearing a cached item
+- A computation that is of the greatest depth for cached items
+ - depth is 1+max(0, *dependent_depths)
+
+sort nodes by tuple (-num_cached_dependencies, uncached_dependencies (always 0?), -depth)
+'''