MetaGPT/metagpt/schema.py

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#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
@Time : 2023/5/8 22:12
@Author : alexanderwu
@File : schema.py
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@Modified By: mashenquan, 2023-10-31. According to Chapter 2.2.1 of RFC 116:
Replanned the distribution of responsibilities and functional positioning of `Message` class attributes.
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@Modified By: mashenquan, 2023/11/22.
1. Add `Document` and `Documents` for `FileRepository` in Section 2.2.3.4 of RFC 135.
2. Encapsulate the common key-values set to pydantic structures to standardize and unify parameter passing
between actions.
3. Add `id` to `Message` according to Section 2.2.3.1.1 of RFC 135.
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"""
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from __future__ import annotations
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import asyncio
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import json
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import os.path
import uuid
from abc import ABC
from asyncio import Queue, QueueEmpty, wait_for
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from json import JSONDecodeError
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from pathlib import Path
from typing import Any, Dict, List, Optional, Set, Type, TypedDict, TypeVar
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from pydantic import BaseModel, Field
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from metagpt.config import CONFIG
from metagpt.const import (
MESSAGE_ROUTE_CAUSE_BY,
MESSAGE_ROUTE_FROM,
MESSAGE_ROUTE_TO,
MESSAGE_ROUTE_TO_ALL,
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SYSTEM_DESIGN_FILE_REPO,
TASK_FILE_REPO,
)
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from metagpt.logs import logger
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from metagpt.utils.common import any_to_str, any_to_str_set, import_class
from metagpt.utils.exceptions import handle_exception
from metagpt.utils.serialize import (
actionoutout_schema_to_mapping,
actionoutput_mapping_to_str,
actionoutput_str_to_mapping,
)
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class RawMessage(TypedDict):
content: str
role: str
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class Document(BaseModel):
"""
Represents a document.
"""
root_path: str = ""
filename: str = ""
content: str = ""
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def get_meta(self) -> Document:
"""Get metadata of the document.
:return: A new Document instance with the same root path and filename.
"""
return Document(root_path=self.root_path, filename=self.filename)
@property
def root_relative_path(self):
"""Get relative path from root of git repository.
:return: relative path from root of git repository.
"""
return os.path.join(self.root_path, self.filename)
@property
def full_path(self):
if not CONFIG.git_repo:
return None
return str(CONFIG.git_repo.workdir / self.root_path / self.filename)
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def __str__(self):
return self.content
def __repr__(self):
return self.content
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class Documents(BaseModel):
"""A class representing a collection of documents.
Attributes:
docs (Dict[str, Document]): A dictionary mapping document names to Document instances.
"""
docs: Dict[str, Document] = Field(default_factory=dict)
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class Message(BaseModel):
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"""list[<role>: <content>]"""
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id: str # According to Section 2.2.3.1.1 of RFC 135
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content: str
instruct_content: BaseModel = None
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role: str = "user" # system / user / assistant
cause_by: str = ""
sent_from: str = ""
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send_to: Set = Field(default_factory={MESSAGE_ROUTE_TO_ALL})
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def __init__(self, content: str = "", **kwargs):
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ic = kwargs.get("instruct_content", None)
if ic and not isinstance(ic, BaseModel) and "class" in ic:
# compatible with custom-defined ActionOutput
mapping = actionoutput_str_to_mapping(ic["mapping"])
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actionnode_class = import_class("ActionNode", "metagpt.actions.action_node") # avoid circular import
ic_obj = actionnode_class.create_model_class(class_name=ic["class"], mapping=mapping)
ic_new = ic_obj(**ic["value"])
kwargs["instruct_content"] = ic_new
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kwargs["id"] = kwargs.get("id", uuid.uuid4().hex)
kwargs["content"] = kwargs.get("content", content)
kwargs["cause_by"] = any_to_str(
kwargs.get("cause_by", import_class("UserRequirement", "metagpt.actions.add_requirement"))
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)
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kwargs["sent_from"] = any_to_str(kwargs.get("sent_from", ""))
kwargs["send_to"] = any_to_str_set(kwargs.get("send_to", {MESSAGE_ROUTE_TO_ALL}))
super(Message, self).__init__(**kwargs)
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def __setattr__(self, key, val):
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"""Override `@property.setter`, convert non-string parameters into string parameters."""
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if key == MESSAGE_ROUTE_CAUSE_BY:
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new_val = any_to_str(val)
elif key == MESSAGE_ROUTE_FROM:
new_val = any_to_str(val)
elif key == MESSAGE_ROUTE_TO:
new_val = any_to_str_set(val)
else:
new_val = val
super().__setattr__(key, new_val)
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def dict(self, *args, **kwargs) -> "DictStrAny":
"""overwrite the `dict` to dump dynamic pydantic model"""
obj_dict = super(Message, self).dict(*args, **kwargs)
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ic = self.instruct_content
if ic:
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# compatible with custom-defined ActionOutput
schema = ic.schema()
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# `Documents` contain definitions
if "definitions" not in schema:
# TODO refine with nested BaseModel
mapping = actionoutout_schema_to_mapping(schema)
mapping = actionoutput_mapping_to_str(mapping)
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obj_dict["instruct_content"] = {"class": schema["title"], "mapping": mapping, "value": ic.dict()}
return obj_dict
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def __str__(self):
# prefix = '-'.join([self.role, str(self.cause_by)])
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if self.instruct_content:
return f"{self.role}: {self.instruct_content.dict()}"
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return f"{self.role}: {self.content}"
def __repr__(self):
return self.__str__()
def to_dict(self) -> dict:
"""Return a dict containing `role` and `content` for the LLM call.l"""
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return {"role": self.role, "content": self.content}
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def dump(self) -> str:
"""Convert the object to json string"""
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return self.json(exclude_none=True)
@staticmethod
@handle_exception(exception_type=JSONDecodeError, default_return=None)
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def load(val):
"""Convert the json string to object."""
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try:
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m = json.loads(val)
id = m.get("id")
if "id" in m:
del m["id"]
msg = Message(**m)
if id:
msg.id = id
return msg
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except JSONDecodeError as err:
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logger.error(f"parse json failed: {val}, error:{err}")
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return None
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class UserMessage(Message):
"""便于支持OpenAI的消息
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Facilitate support for OpenAI messages
"""
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def __init__(self, content: str):
super().__init__(content=content, role="user")
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class SystemMessage(Message):
"""便于支持OpenAI的消息
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Facilitate support for OpenAI messages
"""
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def __init__(self, content: str):
super().__init__(content=content, role="system")
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class AIMessage(Message):
"""便于支持OpenAI的消息
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Facilitate support for OpenAI messages
"""
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def __init__(self, content: str):
super().__init__(content=content, role="assistant")
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class MessageQueue(BaseModel):
"""Message queue which supports asynchronous updates."""
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_queue: Queue = Field(default_factory=Queue)
_private_attributes = {"_queue": Queue()}
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class Config:
arbitrary_types_allowed = True
def __init__(self, **kwargs: Any):
for key in self._private_attributes.keys():
if key in kwargs:
object.__setattr__(self, key, kwargs[key])
else:
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object.__setattr__(self, key, Queue())
def pop(self) -> Message | None:
"""Pop one message from the queue."""
try:
item = self._queue.get_nowait()
if item:
self._queue.task_done()
return item
except QueueEmpty:
return None
def pop_all(self) -> List[Message]:
"""Pop all messages from the queue."""
ret = []
while True:
msg = self.pop()
if not msg:
break
ret.append(msg)
return ret
def push(self, msg: Message):
"""Push a message into the queue."""
self._queue.put_nowait(msg)
def empty(self):
"""Return true if the queue is empty."""
return self._queue.empty()
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async def dump(self) -> str:
"""Convert the `MessageQueue` object to a json string."""
if self.empty():
return "[]"
lst = []
try:
while True:
item = await wait_for(self._queue.get(), timeout=1.0)
if item is None:
break
lst.append(item.dict(exclude_none=True))
self._queue.task_done()
except asyncio.TimeoutError:
logger.debug("Queue is empty, exiting...")
return json.dumps(lst)
@staticmethod
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def load(data) -> "MessageQueue":
"""Convert the json string to the `MessageQueue` object."""
queue = MessageQueue()
try:
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lst = json.loads(data)
for i in lst:
msg = Message(**i)
queue.push(msg)
except JSONDecodeError as e:
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logger.warning(f"JSON load failed: {data}, error:{e}")
return queue
# 定义一个泛型类型变量
T = TypeVar("T", bound="BaseModel")
class BaseContext(BaseModel, ABC):
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@classmethod
@handle_exception
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def loads(cls: Type[T], val: str) -> Optional[T]:
i = json.loads(val)
return cls(**i)
class CodingContext(BaseContext):
filename: str
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design_doc: Optional[Document]
task_doc: Optional[Document]
code_doc: Optional[Document]
class TestingContext(BaseContext):
filename: str
code_doc: Document
test_doc: Optional[Document]
class RunCodeContext(BaseContext):
mode: str = "script"
code: Optional[str]
code_filename: str = ""
test_code: Optional[str]
test_filename: str = ""
command: List[str] = Field(default_factory=list)
working_directory: str = ""
additional_python_paths: List[str] = Field(default_factory=list)
output_filename: Optional[str]
output: Optional[str]
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class RunCodeResult(BaseContext):
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summary: str
stdout: str
stderr: str
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class CodeSummarizeContext(BaseModel):
design_filename: str = ""
task_filename: str = ""
codes_filenames: List[str] = Field(default_factory=list)
reason: str = ""
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@staticmethod
def loads(filenames: List) -> CodeSummarizeContext:
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ctx = CodeSummarizeContext()
for filename in filenames:
if Path(filename).is_relative_to(SYSTEM_DESIGN_FILE_REPO):
ctx.design_filename = str(filename)
continue
if Path(filename).is_relative_to(TASK_FILE_REPO):
ctx.task_filename = str(filename)
continue
return ctx
def __hash__(self):
return hash((self.design_filename, self.task_filename))
class BugFixContext(BaseContext):
filename: str = ""