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memory_storage use rag_engine

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This commit is contained in:
betterwang 2024-03-07 19:05:46 +08:00
parent 8411388ccf
commit 9ff63cb110
7 changed files with 60 additions and 74 deletions
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15
tests/metagpt/memory/test_longterm_memory.py
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@ -17,7 +17,8 @@ from metagpt.schema import Message
os.environ.setdefault("OPENAI_API_KEY", config.get_openai_llm().api_key)
def test_ltm_search():
@pytest.mark.asyncio
async def test_ltm_search():
role_id = "UTUserLtm(Product Manager)"
from metagpt.environment import Environment
@ -29,36 +30,36 @@ def test_ltm_search():
idea = "Write a cli snake game"
message = Message(role="User", content=idea, cause_by=UserRequirement)
news = ltm.find_news([message])
news = await ltm.find_news([message])
assert len(news) == 1
ltm.add(message)
sim_idea = "Write a game of cli snake"
sim_message = Message(role="User", content=sim_idea, cause_by=UserRequirement)
news = ltm.find_news([sim_message])
news = await ltm.find_news([sim_message])
assert len(news) == 0
ltm.add(sim_message)
new_idea = "Write a 2048 web game"
new_message = Message(role="User", content=new_idea, cause_by=UserRequirement)
news = ltm.find_news([new_message])
news = await ltm.find_news([new_message])
assert len(news) == 1
ltm.add(new_message)
# restore from local index
ltm_new = LongTermMemory()
ltm_new.recover_memory(role_id, rc)
news = ltm_new.find_news([message])
news = await ltm_new.find_news([message])
assert len(news) == 0
ltm_new.recover_memory(role_id, rc)
news = ltm_new.find_news([sim_message])
news = await ltm_new.find_news([sim_message])
assert len(news) == 0
new_idea = "Write a Battle City"
new_message = Message(role="User", content=new_idea, cause_by=UserRequirement)
news = ltm_new.find_news([new_message])
news = await ltm_new.find_news([new_message])
assert len(news) == 1
ltm_new.clear()

24
tests/metagpt/memory/test_memory_storage.py
View file

@ -9,6 +9,8 @@ import shutil
from pathlib import Path
from typing import List
import pytest
from metagpt.actions import UserRequirement, WritePRD
from metagpt.actions.action_node import ActionNode
from metagpt.config2 import config
@ -19,7 +21,8 @@ from metagpt.schema import Message
os.environ.setdefault("OPENAI_API_KEY", config.get_openai_llm().api_key)
def test_idea_message():
@pytest.mark.asyncio
async def test_idea_message():
idea = "Write a cli snake game"
role_id = "UTUser1(Product Manager)"
message = Message(role="User", content=idea, cause_by=UserRequirement)
@ -27,27 +30,27 @@ def test_idea_message():
shutil.rmtree(Path(DATA_PATH / f"role_mem/{role_id}/"), ignore_errors=True)
memory_storage: MemoryStorage = MemoryStorage()
messages = memory_storage.recover_memory(role_id)
assert len(messages) == 0
memory_storage.recover_memory(role_id)
memory_storage.add(message)
assert memory_storage.is_initialized is True
sim_idea = "Write a game of cli snake"
sim_idea = idea # "Write a game of cli snake"
sim_message = Message(role="User", content=sim_idea, cause_by=UserRequirement)
new_messages = memory_storage.search_dissimilar(sim_message)
new_messages = await memory_storage.search_dissimilar(sim_message)
assert len(new_messages) == 0 # similar, return []
new_idea = "Write a 2048 web game"
new_message = Message(role="User", content=new_idea, cause_by=UserRequirement)
new_messages = memory_storage.search_dissimilar(new_message)
new_messages = await memory_storage.search_dissimilar(new_message)
assert new_messages[0].content == message.content
memory_storage.clean()
assert memory_storage.is_initialized is False
def test_actionout_message():
@pytest.mark.asyncio
async def test_actionout_message():
out_mapping = {"field1": (str, ...), "field2": (List[str], ...)}
out_data = {"field1": "field1 value", "field2": ["field2 value1", "field2 value2"]}
ic_obj = ActionNode.create_model_class("prd", out_mapping)
@ -61,20 +64,19 @@ def test_actionout_message():
shutil.rmtree(Path(DATA_PATH / f"role_mem/{role_id}/"), ignore_errors=True)
memory_storage: MemoryStorage = MemoryStorage()
messages = memory_storage.recover_memory(role_id)
assert len(messages) == 0
memory_storage.recover_memory(role_id)
memory_storage.add(message)
assert memory_storage.is_initialized is True
sim_conent = "The request is command-line interface (CLI) snake game"
sim_message = Message(content=sim_conent, instruct_content=ic_obj(**out_data), role="user", cause_by=WritePRD)
new_messages = memory_storage.search_dissimilar(sim_message)
new_messages = await memory_storage.search_dissimilar(sim_message)
assert len(new_messages) == 0 # similar, return []
new_conent = "Incorporate basic features of a snake game such as scoring and increasing difficulty"
new_message = Message(content=new_conent, instruct_content=ic_obj(**out_data), role="user", cause_by=WritePRD)
new_messages = memory_storage.search_dissimilar(new_message)
new_messages = await memory_storage.search_dissimilar(new_message)
assert new_messages[0].content == message.content
memory_storage.clean()