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1. 动作优化
1. SummarizeCode动作：用于基于代码进行总结，思考bug、逻辑、todo
2. CodeReview动作优化：目前强制要求回答问题，有更高的成功率了
1. 增加了LGTM/LBTM的回答，在LGTM时会及时停止，不重写代码
2. 目前增加了设置中的参数code_review_k_times，与reflexion类似，设置为2
3. 仍然有概率发生指令不遵循，尤其是会有比较高的概率发生同时review多个代码文件，还没想好怎么解决 #FIXME
3. 增加了env到Action结构中，现在可以直接调用环境接口了
4. WriteDesign：去除了对project_name的纠正代码，现在引导下可以一次生成对
1. 修改了提示词中的##格式，改为了JSON格式
2. 数据结构
1. Document的标准化：Env->Repo->Document，其中Document/Asset/Code都是Document
1. 原用于检索的Document改为IndexableDocument
2. Repo结构引入：用于Document装载与元数据装载
3. RepoParser引入：写了一个简单的AST parser（后续可能要换tree-sitter），给出了整库symbol
4. Env中增加了set/get/set_doc/get_doc接口，用于set/get单个变量或者一个Document。这个逻辑后续或许会进一步简化
3. 配置优化
1. 默认更换为gpt-4-1106-preview，以获得最好的效果与成本
2. 提供~/.metagpt作为配置最高优先级目录，从中读取config.yaml
3. workspace可以灵活指定了，在config中配置
4. project_name可以由命令行指定，并且改为由ProductManager生成
4. metagpt作为默认命令行，而非python startup.py
metagpt --help
metagpt --project-name game_2048 "make a 2048 game"
metagpt "make a 2048 game"
metagpt --project-name game_2048 --inc "将2048改为4096"
metagpt --project-name game_2048 --auto-inc "make a 2048 game"
1. 使用新的METAGPT_ROOT生成方式，而非寻找git，以便cli安装
2. 命令行由fire换为了typer，它会带来相对更好的体验
3. project_name可以灵活指定了，在metagpt命令行输入中配置
5. 其他
1. 现在支持多国语言了，中文已测试
2. BossRequirement -> UserRequirement
3. 大量错误文本的修正，增加了可读性
4. 中量提示词优化，稍微提升了一些准确率
5. 暂时屏蔽了LongtermMemory相关逻辑，这个逻辑底层调用了langchain的FAISS，会带来~5秒加载耗时
6. 修复了安装包中的部分描述错误
7. 去除了config中在openai_proxy设定时对base的重复修改，这个修改应该在openai初始化时发生
8. 修复了JSON在中文存储时的特定问题，ensure_ascii=False
This commit is contained in:
geekan
parent
715a1d874a
commit
22288a342d
24 changed files with 359 additions and 203 deletions
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@ -11,7 +11,7 @@ from collections import OrderedDict
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from pathlib import Path
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from metagpt.actions import WriteCode, WriteCodeReview, WriteDesign, WriteTasks
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from metagpt.actions.SummarizeCode import SummarizeCode
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from metagpt.actions.summarize_code import SummarizeCode
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from metagpt.config import CONFIG
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from metagpt.logs import logger
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from metagpt.roles import Role
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@ -74,8 +74,8 @@ class Engineer(Role):
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super().__init__(name, profile, goal, constraints)
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self._init_actions([WriteCode])
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self.use_code_review = use_code_review
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if self.use_code_review:
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self._init_actions([WriteCode, WriteCodeReview])
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# if self.use_code_review:
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# self._init_actions([WriteCode, WriteCodeReview])
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self._watch([WriteTasks])
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self.todos = []
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self.n_borg = n_borg
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@ -93,8 +93,8 @@ class Engineer(Role):
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@classmethod
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def parse_workspace(cls, system_design_msg: Message) -> str:
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if system_design_msg.instruct_content:
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return system_design_msg.instruct_content.dict().get("Python package name").strip().strip("'").strip('"')
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return CodeParser.parse_str(block="Python package name", text=system_design_msg.content)
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return system_design_msg.instruct_content.dict().get("project_name").strip().strip("'").strip('"')
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return CodeParser.parse_str(block="project_name", text=system_design_msg.content)
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def get_workspace(self) -> Path:
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msg = self._rc.memory.get_by_action(WriteDesign)[-1]
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@ -182,16 +182,16 @@ class Engineer(Role):
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msg = self._rc.memory.get_by_actions([WriteDesign, WriteTasks, WriteCode])
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for m in msg:
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context.append(m.content)
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context_str = "\n".join(context)
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context_str = "\n----------\n".join(context)
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# Write code
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code = await WriteCode().run(context=context_str, filename=todo)
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# Code review
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if self.use_code_review:
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try:
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rewrite_code = await WriteCodeReview().run(context=context_str, code=code, filename=todo)
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code = rewrite_code
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except Exception as e:
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logger.error("code review failed!", e)
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# try:
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rewrite_code = await WriteCodeReview().run(context=context_str, code=code, filename=todo)
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code = rewrite_code
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# except Exception as e:
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# logger.error("code review failed!", e)
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file_path = self.write_file(todo, code)
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msg = Message(content=code, role=self.profile, cause_by=WriteCode)
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self._rc.memory.add(msg)
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@ -203,8 +203,8 @@ class Engineer(Role):
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msg = self._rc.memory.get_by_actions([WriteDesign, WriteTasks, WriteCode])
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for m in msg:
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context.append(m.content)
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context_str = "\n".join(context)
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code_review_all = await SummarizeCode().run(context=context_str)
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context_str = "\n----------\n".join(context)
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summary = await SummarizeCode().run(context=context_str)
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logger.info(f"Done {self.get_workspace()} generating.")
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msg = Message(
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@ -45,8 +45,8 @@ class QaEngineer(Role):
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@classmethod
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def parse_workspace(cls, system_design_msg: Message) -> str:
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if system_design_msg.instruct_content:
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return system_design_msg.instruct_content.dict().get("Python package name")
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return CodeParser.parse_str(block="Python package name", text=system_design_msg.content)
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return system_design_msg.instruct_content.dict().get("project_name")
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return CodeParser.parse_str(block="project_name", text=system_design_msg.content)
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def get_workspace(self, return_proj_dir=True) -> Path:
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msg = self._rc.memory.get_by_action(WriteDesign)[-1]
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@ -50,6 +50,7 @@ ROLE_TEMPLATE = """Your response should be based on the previous conversation hi
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{name}: {result}
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"""
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class RoleReactMode(str, Enum):
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REACT = "react"
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BY_ORDER = "by_order"
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@ -59,6 +60,7 @@ class RoleReactMode(str, Enum):
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def values(cls):
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return [item.value for item in cls]
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class RoleSetting(BaseModel):
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"""Role Settings"""
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name: str
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@ -131,6 +133,7 @@ class Role:
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logger.warning(f"is_human attribute does not take effect,"
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f"as Role's {str(action)} was initialized using LLM, try passing in Action classes instead of initialized instances")
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i = action
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i.set_env(self._rc.env)
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i.set_prefix(self._get_prefix(), self.profile)
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self._actions.append(i)
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self._states.append(f"{idx}. {action}")
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@ -172,6 +175,18 @@ class Role:
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"""Set the environment in which the role works. The role can talk to the environment and can also receive messages by observing."""
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self._rc.env = env
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def set_doc(self, content: str, filename: str):
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return self._rc.env.set_doc(content, filename)
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def get_doc(self, filename: str):
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return self._rc.env.get_doc(filename)
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def set(self, k, v):
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return self._rc.env.set(k, v)
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def get(self, k):
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return self._rc.env.get(k)
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@property
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def profile(self):
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"""Get the role description (position)"""
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