update debug_code ut

update sd_tool_usage example
This commit is contained in:
stellahsr 2024-01-11 21:50:35 +08:00
parent a98edada1a
commit af26fe06cf
5 changed files with 68 additions and 65 deletions

View file

@ -3,38 +3,17 @@
# @Author : stellahong (stellahong@fuzhi.ai)
# @Desc :
import asyncio
from metagpt.const import METAGPT_ROOT
from metagpt.actions.write_analysis_code import WriteCodeWithTools
from metagpt.plan.planner import Planner
from metagpt.actions.execute_code import ExecutePyCode
from metagpt.roles.code_interpreter import CodeInterpreter
sd_url = 'http://106.75.10.65:19094/sdapi/v1/txt2img'
requirement = f"i have a text2image tool, generate a girl image use it, sd_url={sd_url}"
async def main(requirement: str = ""):
code_interpreter = CodeInterpreter(use_tools=True, goal=requirement)
await code_interpreter.run(requirement)
if __name__ == "__main__":
code_interpreter = CodeInterpreter(use_tools=True, goal=requirement)
asyncio.run(code_interpreter.run(requirement))
# planner = Planner(
# goal="i have a sdt2i tool, generate a girl image use it, sd_url='http://106.75.10.65:19094/sdapi/v1/txt2img'",
# auto_run=True)
# asyncio.run(planner.update_plan())
# schema_path = METAGPT_ROOT / "metagpt/tools/functions/schemas"
# #
# prompt = "1girl, beautiful"
# planner = Planner(
# goal="i have a sdt2i tool, generate a girl image use it, sd_url='http://106.75.10.65:19094/sdapi/v1/txt2img'",
# auto_run=True)
# asyncio.run(planner.update_plan())
# planner.plan.current_task.task_type = "sd"
# planner.plan.current_task.instruction = "Use the sdt2i tool with the provided API endpoint to generate the girl image."
# executor = ExecutePyCode()
#
# tool_context, code = asyncio.run(WriteCodeWithTools(schema_path=schema_path).run(
# context=f"task prompt: {prompt}",
# plan=planner.plan,
# column_info="",
# ))
# print(code)
# asyncio.run(executor.run(code))
sd_url = 'http://106.75.10.65:19094'
requirement = f"I want to generate an image of a beautiful girl using the stable diffusion text2image tool, sd_url={sd_url}"
asyncio.run(main(requirement))

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@ -85,20 +85,14 @@ class DebugCode(BaseWriteAnalysisCode):
async def run_reflection(
self,
# goal,
# finished_code,
# finished_code_result,
context: List[Message],
code,
runtime_result,
) -> dict:
info = []
# finished_code_and_result = finished_code + "\n [finished results]\n\n" + finished_code_result
reflection_prompt = REFLECTION_PROMPT.format(
debug_example=DEBUG_REFLECTION_EXAMPLE,
context=context,
# goal=goal,
# finished_code=finished_code_and_result,
code=code,
runtime_result=runtime_result,
)
@ -106,33 +100,14 @@ class DebugCode(BaseWriteAnalysisCode):
info.append(Message(role="system", content=system_prompt))
info.append(Message(role="user", content=reflection_prompt))
# msg = messages_to_str(info)
# resp = await self.llm.aask(msg=msg)
resp = await self.llm.aask_code(messages=info, **create_func_config(CODE_REFLECTION))
logger.info(f"reflection is {resp}")
return resp
# async def rewrite_code(self, reflection: str = "", context: List[Message] = None) -> str:
# """
# 根据reflection重写代码
# """
# info = context
# # info.append(Message(role="assistant", content=f"[code context]:{code_context}"
# # f"finished code are executable, and you should based on the code to continue your current code debug and improvement"
# # f"[reflection]: \n {reflection}"))
# info.append(Message(role="assistant", content=f"[reflection]: \n {reflection}"))
# info.append(Message(role="user", content=f"[improved impl]:\n Return in Python block"))
# msg = messages_to_str(info)
# resp = await self.llm.aask(msg=msg)
# improv_code = CodeParser.parse_code(block=None, text=resp)
# return improv_code
async def run(
self,
context: List[Message] = None,
plan: str = "",
# finished_code: str = "",
# finished_code_result: str = "",
code: str = "",
runtime_result: str = "",
) -> str:
@ -140,14 +115,10 @@ class DebugCode(BaseWriteAnalysisCode):
根据当前运行代码和报错信息进行reflection和纠错
"""
reflection = await self.run_reflection(
# plan,
# finished_code=finished_code,
# finished_code_result=finished_code_result,
code=code,
context=context,
runtime_result=runtime_result,
)
# 根据reflection结果重写代码
# improv_code = await self.rewrite_code(reflection, context=context)
improv_code = reflection["improved_impl"]
return improv_code

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@ -60,7 +60,6 @@ class MLEngineer(CodeInterpreter):
if code_execution_count > 0:
logger.warning("We got a bug code, now start to debug...")
code = await DebugCode().run(
plan=self.planner.current_task.instruction,
code=self.latest_code,
runtime_result=self.working_memory.get(),
context=self.debug_context,

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@ -34,14 +34,14 @@ def rsp_cache():
rsp_cache_file_path = TEST_DATA_PATH / "rsp_cache.json" # read repo-provided
new_rsp_cache_file_path = TEST_DATA_PATH / "rsp_cache_new.json" # exporting a new copy
if os.path.exists(rsp_cache_file_path):
with open(rsp_cache_file_path, "r") as f1:
with open(rsp_cache_file_path, "r", encoding="utf-8") as f1:
rsp_cache_json = json.load(f1)
else:
rsp_cache_json = {}
yield rsp_cache_json
with open(rsp_cache_file_path, "w") as f2:
with open(rsp_cache_file_path, "w", encoding="utf-8") as f2:
json.dump(rsp_cache_json, f2, indent=4, ensure_ascii=False)
with open(new_rsp_cache_file_path, "w") as f2:
with open(new_rsp_cache_file_path, "w", encoding="utf-8") as f2:
json.dump(RSP_CACHE_NEW, f2, indent=4, ensure_ascii=False)
@ -139,7 +139,7 @@ def loguru_caplog(caplog):
# init & dispose git repo
@pytest.fixture(scope="function", autouse=True)
@pytest.fixture(scope="function", autouse=False)
def setup_and_teardown_git_repo(request):
CONFIG.git_repo = GitRepository(local_path=DEFAULT_WORKSPACE_ROOT / f"unittest/{uuid.uuid4().hex}")
CONFIG.git_reinit = True

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@ -0,0 +1,54 @@
# -*- coding: utf-8 -*-
# @Date : 1/11/2024 8:51 PM
# @Author : stellahong (stellahong@fuzhi.ai)
# @Desc :
import pytest
from metagpt.actions.debug_code import DebugCode, messages_to_str
from metagpt.schema import Message
ErrorStr = '''Tested passed:
Tests failed:
assert sort_array([1, 5, 2, 3, 4]) == [1, 2, 3, 4, 5] # output: [1, 2, 4, 3, 5]
'''
CODE = '''
def sort_array(arr):
# Helper function to count the number of ones in the binary representation
def count_ones(n):
return bin(n).count('1')
# Sort the array using a custom key function
# The key function returns a tuple (number of ones, value) for each element
# This ensures that if two elements have the same number of ones, they are sorted by their value
sorted_arr = sorted(arr, key=lambda x: (count_ones(x), x))
return sorted_arr
```
'''
DebugContext = '''Solve the problem in Python:
def sort_array(arr):
"""
In this Kata, you have to sort an array of non-negative integers according to
number of ones in their binary representation in ascending order.
For similar number of ones, sort based on decimal value.
It must be implemented like this:
>>> sort_array([1, 5, 2, 3, 4]) == [1, 2, 3, 4, 5]
>>> sort_array([-2, -3, -4, -5, -6]) == [-6, -5, -4, -3, -2]
>>> sort_array([1, 0, 2, 3, 4]) [0, 1, 2, 3, 4]
"""
'''
@pytest.mark.asyncio
async def test_debug_code():
debug_context = Message(content=DebugContext)
new_code = await DebugCode().run(context=debug_context, code=CODE, runtime_result=ErrorStr)
assert "def sort_array(arr)" in new_code
def test_messages_to_str():
debug_context = Message(content=DebugContext)
msg_str = messages_to_str([debug_context])
assert "user: Solve the problem in Python" in msg_str