Merge pull request #1045 from garylin2099/di_fixes

fix bug for task type prompt, add tool recommender arg, support register tools by path
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garylin2099 2024-03-19 19:46:34 +08:00 committed by GitHub
commit 46bba83c1d
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9 changed files with 113 additions and 14 deletions

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@ -1,7 +1,7 @@
from __future__ import annotations
import json
from typing import Literal, Union
from typing import Literal
from pydantic import Field, model_validator
@ -39,7 +39,7 @@ class DataInterpreter(Role):
use_plan: bool = True
use_reflection: bool = False
execute_code: ExecuteNbCode = Field(default_factory=ExecuteNbCode, exclude=True)
tools: Union[str, list[str]] = [] # Use special symbol ["<all>"] to indicate use of all registered tools
tools: list[str] = [] # Use special symbol ["<all>"] to indicate use of all registered tools
tool_recommender: ToolRecommender = None
react_mode: Literal["plan_and_act", "react"] = "plan_and_act"
max_react_loop: int = 10 # used for react mode
@ -50,7 +50,7 @@ class DataInterpreter(Role):
self.use_plan = (
self.react_mode == "plan_and_act"
) # create a flag for convenience, overwrite any passed-in value
if self.tools:
if self.tools and not self.tool_recommender:
self.tool_recommender = BM25ToolRecommender(tools=self.tools)
self.set_actions([WriteAnalysisCode])
self._set_state(0)
@ -104,7 +104,7 @@ class DataInterpreter(Role):
plan_status = self.planner.get_plan_status() if self.use_plan else ""
# tool info
if self.tools:
if self.tool_recommender:
context = (
self.working_memory.get()[-1].content if self.working_memory.get() else ""
) # thoughts from _think stage in 'react' mode

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@ -164,8 +164,9 @@ class Planner(BaseModel):
code_written = "\n\n".join(code_written)
task_results = [task.result for task in finished_tasks]
task_results = "\n\n".join(task_results)
task_type_name = self.current_task.task_type.upper()
guidance = TaskType[task_type_name].value.guidance if hasattr(TaskType, task_type_name) else ""
task_type_name = self.current_task.task_type
task_type = TaskType.get_type(task_type_name)
guidance = task_type.guidance if task_type else ""
# combine components in a prompt
prompt = PLAN_STATUS.format(

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@ -71,3 +71,10 @@ class TaskType(Enum):
@property
def type_name(self):
return self.value.name
@classmethod
def get_type(cls, type_name):
for member in cls:
if member.type_name == type_name:
return member.value
return None

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@ -7,7 +7,7 @@ PARSER = GoogleDocstringParser
def convert_code_to_tool_schema(obj, include: list[str] = None):
docstring = inspect.getdoc(obj)
assert docstring, "no docstring found for the objects, skip registering"
# assert docstring, "no docstring found for the objects, skip registering"
if inspect.isclass(obj):
schema = {"type": "class", "description": remove_spaces(docstring), "methods": {}}

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@ -7,10 +7,10 @@
"""
from __future__ import annotations
import importlib.util
import inspect
import os
from collections import defaultdict
from typing import Union
import yaml
from pydantic import BaseModel
@ -127,15 +127,63 @@ def make_schema(tool_source_object, include, path):
return schema
def validate_tool_names(tools: Union[list[str], str]) -> str:
def validate_tool_names(tools: list[str]) -> dict[str, Tool]:
assert isinstance(tools, list), "tools must be a list of str"
valid_tools = {}
for key in tools:
# one can define either tool names or tool type names, take union to get the whole set
if TOOL_REGISTRY.has_tool(key):
# one can define either tool names OR tool tags OR tool path, take union to get the whole set
# if tool paths are provided, they will be registered on the fly
if os.path.isdir(key) or os.path.isfile(key):
valid_tools.update(register_tools_from_path(key))
elif TOOL_REGISTRY.has_tool(key):
valid_tools.update({key: TOOL_REGISTRY.get_tool(key)})
elif TOOL_REGISTRY.has_tool_tag(key):
valid_tools.update(TOOL_REGISTRY.get_tools_by_tag(key))
else:
logger.warning(f"invalid tool name or tool type name: {key}, skipped")
return valid_tools
def load_module_from_file(filepath):
module_name = os.path.splitext(os.path.basename(filepath))[0]
spec = importlib.util.spec_from_file_location(module_name, filepath)
module = importlib.util.module_from_spec(spec)
spec.loader.exec_module(module)
return module
def register_tools_from_file(file_path) -> dict[str, Tool]:
registered_tools = {}
module = load_module_from_file(file_path)
for name, obj in inspect.getmembers(module):
if inspect.isclass(obj) or inspect.isfunction(obj):
if obj.__module__ == module.__name__:
# excluding imported classes and functions, register only those defined in the file
if "metagpt" in file_path:
# split to handle ../metagpt/metagpt/tools/... where only metapgt/tools/... is needed
file_path = "metagpt" + file_path.split("metagpt")[-1]
TOOL_REGISTRY.register_tool(
tool_name=name,
tool_path=file_path,
tool_code="", # inspect.getsource(obj) will resulted in TypeError, skip it for now
tool_source_object=obj,
)
registered_tools.update({name: TOOL_REGISTRY.get_tool(name)})
return registered_tools
def register_tools_from_path(path) -> dict[str, Tool]:
tools_registered = {}
if os.path.isfile(path) and path.endswith(".py"):
# Path is a Python file
tools_registered.update(register_tools_from_file(path))
elif os.path.isdir(path):
# Path is a directory
for root, _, files in os.walk(path):
for file in files:
if file.endswith(".py"):
file_path = os.path.join(root, file)
tools_registered.update(register_tools_from_file(file_path))
return tools_registered

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@ -3,7 +3,7 @@ from typing import Tuple
def remove_spaces(text):
return re.sub(r"\s+", " ", text).strip()
return re.sub(r"\s+", " ", text).strip() if text else ""
class DocstringParser:

File diff suppressed because one or more lines are too long

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@ -25,7 +25,6 @@ async def test_interpreter(mocker, auto_run):
@pytest.mark.asyncio
async def test_interpreter_react_mode(mocker):
mocker.patch("metagpt.actions.di.execute_nb_code.ExecuteNbCode.run", return_value=("a successful run", True))
mocker.patch("builtins.input", return_value="confirm")
requirement = "Run data analysis on sklearn Wine recognition dataset, include a plot, and train a model to predict wine class (20% as validation), and show validation accuracy."

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@ -0,0 +1,37 @@
from metagpt.schema import Plan, Task
from metagpt.strategy.planner import Planner
from metagpt.strategy.task_type import TaskType
MOCK_TASK_MAP = {
"1": Task(
task_id="1",
instruction="test instruction for finished task",
task_type=TaskType.EDA.type_name,
dependent_task_ids=[],
code="some finished test code",
result="some finished test result",
is_finished=True,
),
"2": Task(
task_id="2",
instruction="test instruction for current task",
task_type=TaskType.DATA_PREPROCESS.type_name,
dependent_task_ids=["1"],
),
}
MOCK_PLAN = Plan(
goal="test goal",
tasks=list(MOCK_TASK_MAP.values()),
task_map=MOCK_TASK_MAP,
current_task_id="2",
)
def test_planner_get_plan_status():
planner = Planner(plan=MOCK_PLAN)
status = planner.get_plan_status()
assert "some finished test code" in status
assert "some finished test result" in status
assert "test instruction for current task" in status
assert TaskType.DATA_PREPROCESS.value.guidance in status # current task guidance