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Formatting (#2526)

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This commit is contained in:
Dev Khant
2025-04-10 11:42:25 +05:30
committed by GitHub
parent 616313b8b5
commit 07462adc9a
2 changed files with 79 additions and 85 deletions
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2
mem0/memory/graph_memory.py
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@@ -165,7 +165,7 @@ class MemoryGraph:
try:
for tool_call in search_results["tool_calls"]:
if tool_call['name'] != "extract_entities":
if tool_call["name"] != "extract_entities":
continue
for item in tool_call["arguments"]["entities"]:
entity_type_map[item["entity"]] = item["entity_type"]

162
mem0/memory/main.py
View File

@@ -783,7 +783,7 @@ class AsyncMemory(MemoryBase):
self.graph = MemoryGraph(self.config)
self.enable_graph = True
capture_event("mem0.init", self)
capture_event("async_mem0.init", self)
@classmethod
async def from_config(cls, config_dict: Dict[str, Any]):
@@ -882,7 +882,7 @@ class AsyncMemory(MemoryBase):
# Run vector store and graph operations concurrently
vector_store_task = asyncio.create_task(self._add_to_vector_store(messages, metadata, filters, infer))
graph_task = asyncio.create_task(self._add_to_graph(messages, filters))
vector_store_result, graph_result = await asyncio.gather(vector_store_task, graph_task)
if self.api_version == "v1.0":
@@ -939,7 +939,7 @@ class AsyncMemory(MemoryBase):
retrieved_old_memory = []
new_message_embeddings = {}
# Process all facts concurrently
async def process_fact(new_mem):
messages_embeddings = await asyncio.to_thread(self.embedding_model.embed, new_mem, "add")
@@ -952,15 +952,15 @@ class AsyncMemory(MemoryBase):
filters=filters,
)
return [(mem.id, mem.payload["data"]) for mem in existing_memories]
fact_tasks = [process_fact(fact) for fact in new_retrieved_facts]
fact_results = await asyncio.gather(*fact_tasks)
# Flatten results and build retrieved_old_memory
for result in fact_results:
for mem_id, mem_data in result:
retrieved_old_memory.append({"id": mem_id, "text": mem_data})
unique_data = {}
for item in retrieved_old_memory:
unique_data[item["id"]] = item
@@ -1004,60 +1004,66 @@ class AsyncMemory(MemoryBase):
logging.info("Skipping memory entry because of empty `text` field.")
continue
elif resp.get("event") == "ADD":
task = asyncio.create_task(self._create_memory(
data=resp.get("text"),
existing_embeddings=new_message_embeddings,
metadata=metadata
))
task = asyncio.create_task(
self._create_memory(
data=resp.get("text"), existing_embeddings=new_message_embeddings, metadata=metadata
)
)
memory_tasks.append((task, resp, "ADD", None))
elif resp.get("event") == "UPDATE":
task = asyncio.create_task(self._update_memory(
memory_id=temp_uuid_mapping[resp["id"]],
data=resp.get("text"),
existing_embeddings=new_message_embeddings,
metadata=metadata,
))
task = asyncio.create_task(
self._update_memory(
memory_id=temp_uuid_mapping[resp["id"]],
data=resp.get("text"),
existing_embeddings=new_message_embeddings,
metadata=metadata,
)
)
memory_tasks.append((task, resp, "UPDATE", temp_uuid_mapping[resp["id"]]))
elif resp.get("event") == "DELETE":
task = asyncio.create_task(self._delete_memory(
memory_id=temp_uuid_mapping[resp.get("id")]
))
task = asyncio.create_task(self._delete_memory(memory_id=temp_uuid_mapping[resp.get("id")]))
memory_tasks.append((task, resp, "DELETE", temp_uuid_mapping[resp["id"]]))
elif resp.get("event") == "NONE":
logging.info("NOOP for Memory.")
except Exception as e:
logging.error(f"Error in new_memories_with_actions: {e}")
# Wait for all memory operations to complete
for task, resp, event_type, mem_id in memory_tasks:
try:
result_id = await task
if event_type == "ADD":
returned_memories.append({
"id": result_id,
"memory": resp.get("text"),
"event": resp.get("event"),
})
returned_memories.append(
{
"id": result_id,
"memory": resp.get("text"),
"event": resp.get("event"),
}
)
elif event_type == "UPDATE":
returned_memories.append({
"id": mem_id,
"memory": resp.get("text"),
"event": resp.get("event"),
"previous_memory": resp.get("old_memory"),
})
returned_memories.append(
{
"id": mem_id,
"memory": resp.get("text"),
"event": resp.get("event"),
"previous_memory": resp.get("old_memory"),
}
)
elif event_type == "DELETE":
returned_memories.append({
"id": mem_id,
"memory": resp.get("text"),
"event": resp.get("event"),
})
returned_memories.append(
{
"id": mem_id,
"memory": resp.get("text"),
"event": resp.get("event"),
}
)
except Exception as e:
logging.error(f"Error processing memory task: {e}")
except Exception as e:
logging.error(f"Error in new_memories_with_actions: {e}")
capture_event("mem0.add", self, {"version": self.api_version, "keys": list(filters.keys())})
capture_event("async_mem0.add", self, {"version": self.api_version, "keys": list(filters.keys())})
return returned_memories
@@ -1082,7 +1088,7 @@ class AsyncMemory(MemoryBase):
Returns:
dict: Retrieved memory.
"""
capture_event("mem0.get", self, {"memory_id": memory_id})
capture_event("async_mem0.get", self, {"memory_id": memory_id})
memory = await asyncio.to_thread(self.vector_store.get, vector_id=memory_id)
if not memory:
return None
@@ -1123,11 +1129,11 @@ class AsyncMemory(MemoryBase):
if run_id:
filters["run_id"] = run_id
capture_event("mem0.get_all", self, {"limit": limit, "keys": list(filters.keys())})
capture_event("async_mem0.get_all", self, {"limit": limit, "keys": list(filters.keys())})
# Run vector store and graph operations concurrently
vector_store_task = asyncio.create_task(self._get_all_from_vector_store(filters, limit))
if self.enable_graph:
graph_task = asyncio.create_task(asyncio.to_thread(self.graph.get_all, filters, limit))
all_memories, graph_entities = await asyncio.gather(vector_store_task, graph_task)
@@ -1210,14 +1216,14 @@ class AsyncMemory(MemoryBase):
raise ValueError("One of the filters: user_id, agent_id or run_id is required!")
capture_event(
"mem0.search",
"async_mem0.search",
self,
{"limit": limit, "version": self.api_version, "keys": list(filters.keys())},
)
# Run vector store and graph operations concurrently
vector_store_task = asyncio.create_task(self._search_vector_store(query, filters, limit))
if self.enable_graph:
graph_task = asyncio.create_task(asyncio.to_thread(self.graph.search, query, filters, limit))
original_memories, graph_entities = await asyncio.gather(vector_store_task, graph_task)
@@ -1243,11 +1249,7 @@ class AsyncMemory(MemoryBase):
async def _search_vector_store(self, query, filters, limit):
embeddings = await asyncio.to_thread(self.embedding_model.embed, query, "search")
memories = await asyncio.to_thread(
self.vector_store.search,
query=query,
vectors=embeddings,
limit=limit,
filters=filters
self.vector_store.search, query=query, vectors=embeddings, limit=limit, filters=filters
)
excluded_keys = {
@@ -1294,7 +1296,7 @@ class AsyncMemory(MemoryBase):
Returns:
dict: Updated memory.
"""
capture_event("mem0.update", self, {"memory_id": memory_id})
capture_event("async_mem0.update", self, {"memory_id": memory_id})
embeddings = await asyncio.to_thread(self.embedding_model.embed, data, "update")
existing_embeddings = {data: embeddings}
@@ -1309,7 +1311,7 @@ class AsyncMemory(MemoryBase):
Args:
memory_id (str): ID of the memory to delete.
"""
capture_event("mem0.delete", self, {"memory_id": memory_id})
capture_event("async_mem0.delete", self, {"memory_id": memory_id})
await self._delete_memory(memory_id)
return {"message": "Memory deleted successfully!"}
@@ -1335,15 +1337,15 @@ class AsyncMemory(MemoryBase):
"At least one filter is required to delete all memories. If you want to delete all memories, use the `reset()` method."
)
capture_event("mem0.delete_all", self, {"keys": list(filters.keys())})
capture_event("async_mem0.delete_all", self, {"keys": list(filters.keys())})
memories = await asyncio.to_thread(self.vector_store.list, filters=filters)
delete_tasks = []
for memory in memories[0]:
delete_tasks.append(self._delete_memory(memory.id))
await asyncio.gather(*delete_tasks)
logger.info(f"Deleted {len(memories[0])} memories")
if self.enable_graph:
@@ -1361,7 +1363,7 @@ class AsyncMemory(MemoryBase):
Returns:
list: List of changes for the memory.
"""
capture_event("mem0.history", self, {"memory_id": memory_id})
capture_event("async_mem0.history", self, {"memory_id": memory_id})
return await asyncio.to_thread(self.db.get_history, memory_id)
async def _create_memory(self, data, existing_embeddings, metadata=None):
@@ -1370,7 +1372,7 @@ class AsyncMemory(MemoryBase):
embeddings = existing_embeddings[data]
else:
embeddings = await asyncio.to_thread(self.embedding_model.embed, data, memory_action="add")
memory_id = str(uuid.uuid4())
metadata = metadata or {}
metadata["data"] = data
@@ -1383,17 +1385,10 @@ class AsyncMemory(MemoryBase):
ids=[memory_id],
payloads=[metadata],
)
await asyncio.to_thread(
self.db.add_history,
memory_id,
None,
data,
"ADD",
created_at=metadata["created_at"]
)
capture_event("mem0._create_memory", self, {"memory_id": memory_id})
await asyncio.to_thread(self.db.add_history, memory_id, None, data, "ADD", created_at=metadata["created_at"])
capture_event("async_mem0._create_memory", self, {"memory_id": memory_id})
return memory_id
async def _create_procedural_memory(self, messages, metadata=None, llm=None, prompt=None):
@@ -1411,7 +1406,9 @@ class AsyncMemory(MemoryBase):
convert_to_messages, # type: ignore
)
except Exception:
logger.error("Import error while loading langchain-core. Please install 'langchain-core' to use procedural memory.")
logger.error(
"Import error while loading langchain-core. Please install 'langchain-core' to use procedural memory."
)
raise
logger.info("Creating procedural memory")
@@ -1428,10 +1425,7 @@ class AsyncMemory(MemoryBase):
response = await asyncio.to_thread(llm.invoke, input=parsed_messages)
procedural_memory = response.content
else:
procedural_memory = await asyncio.to_thread(
self.llm.generate_response,
messages=parsed_messages
)
procedural_memory = await asyncio.to_thread(self.llm.generate_response, messages=parsed_messages)
except Exception as e:
logger.error(f"Error generating procedural memory summary: {e}")
raise
@@ -1444,7 +1438,7 @@ class AsyncMemory(MemoryBase):
embeddings = await asyncio.to_thread(self.embedding_model.embed, procedural_memory, memory_action="add")
# Create the memory
memory_id = await self._create_memory(procedural_memory, {procedural_memory: embeddings}, metadata=metadata)
capture_event("mem0._create_procedural_memory", self, {"memory_id": memory_id})
capture_event("async_mem0._create_procedural_memory", self, {"memory_id": memory_id})
# Return results in the same format as add()
result = {"results": [{"id": memory_id, "memory": procedural_memory, "event": "ADD"}]}
@@ -1458,7 +1452,7 @@ class AsyncMemory(MemoryBase):
existing_memory = await asyncio.to_thread(self.vector_store.get, vector_id=memory_id)
except Exception:
raise ValueError(f"Error getting memory with ID {memory_id}. Please provide a valid 'memory_id'")
prev_value = existing_memory.payload.get("data")
new_metadata = metadata or {}
@@ -1478,16 +1472,16 @@ class AsyncMemory(MemoryBase):
embeddings = existing_embeddings[data]
else:
embeddings = await asyncio.to_thread(self.embedding_model.embed, data, "update")
await asyncio.to_thread(
self.vector_store.update,
vector_id=memory_id,
vector=embeddings,
payload=new_metadata,
)
logger.info(f"Updating memory with ID {memory_id=} with {data=}")
await asyncio.to_thread(
self.db.add_history,
memory_id,
@@ -1497,19 +1491,19 @@ class AsyncMemory(MemoryBase):
created_at=new_metadata["created_at"],
updated_at=new_metadata["updated_at"],
)
capture_event("mem0._update_memory", self, {"memory_id": memory_id})
capture_event("async_mem0._update_memory", self, {"memory_id": memory_id})
return memory_id
async def _delete_memory(self, memory_id):
logging.info(f"Deleting memory with {memory_id=}")
existing_memory = await asyncio.to_thread(self.vector_store.get, vector_id=memory_id)
prev_value = existing_memory.payload["data"]
await asyncio.to_thread(self.vector_store.delete, vector_id=memory_id)
await asyncio.to_thread(self.db.add_history, memory_id, prev_value, None, "DELETE", is_deleted=1)
capture_event("mem0._delete_memory", self, {"memory_id": memory_id})
capture_event("async_mem0._delete_memory", self, {"memory_id": memory_id})
return memory_id
async def reset(self):
@@ -1522,7 +1516,7 @@ class AsyncMemory(MemoryBase):
self.config.vector_store.provider, self.config.vector_store.config
)
await asyncio.to_thread(self.db.reset)
capture_event("mem0.reset", self)
capture_event("async_mem0.reset", self)
async def chat(self, query):
raise NotImplementedError("Chat function not implemented yet.")