diff --git a/examples/example.pkl b/examples/example.pkl index eac758f44..0469a2e46 100644 Binary files a/examples/example.pkl and b/examples/example.pkl differ diff --git a/metagpt/actions/action.py b/metagpt/actions/action.py index 6e029e5d2..a33918a09 100644 --- a/metagpt/actions/action.py +++ b/metagpt/actions/action.py @@ -21,7 +21,7 @@ from metagpt.schema import ( SerializationMixin, TestingContext, ) -from metagpt.utils.file_repository import FileRepository +from metagpt.utils.project_repo import ProjectRepo class Action(SerializationMixin, ContextMixin, BaseModel): @@ -34,16 +34,8 @@ class Action(SerializationMixin, ContextMixin, BaseModel): node: ActionNode = Field(default=None, exclude=True) @property - def git_repo(self): - return self.context.git_repo - - @property - def file_repo(self): - return FileRepository(self.context.git_repo) - - @property - def src_workspace(self): - return self.context.src_workspace + def project_repo(self): + return ProjectRepo(self.context.git_repo) @property def prompt_schema(self): diff --git a/metagpt/actions/debug_error.py b/metagpt/actions/debug_error.py index 983214662..f491fdd55 100644 --- a/metagpt/actions/debug_error.py +++ b/metagpt/actions/debug_error.py @@ -13,7 +13,6 @@ import re from pydantic import Field from metagpt.actions.action import Action -from metagpt.const import TEST_CODES_FILE_REPO, TEST_OUTPUTS_FILE_REPO from metagpt.logs import logger from metagpt.schema import RunCodeContext, RunCodeResult from metagpt.utils.common import CodeParser @@ -50,9 +49,7 @@ class DebugError(Action): i_context: RunCodeContext = Field(default_factory=RunCodeContext) async def run(self, *args, **kwargs) -> str: - output_doc = await self.file_repo.get_file( - filename=self.i_context.output_filename, relative_path=TEST_OUTPUTS_FILE_REPO - ) + output_doc = await self.project_repo.test_outputs.get(filename=self.i_context.output_filename) if not output_doc: return "" output_detail = RunCodeResult.loads(output_doc.content) @@ -62,14 +59,12 @@ class DebugError(Action): return "" logger.info(f"Debug and rewrite {self.i_context.test_filename}") - code_doc = await self.file_repo.get_file( - filename=self.i_context.code_filename, relative_path=self.context.src_workspace + code_doc = await self.project_repo.with_src_path(self.context.src_workspace).srcs.get( + filename=self.i_context.code_filename ) if not code_doc: return "" - test_doc = await self.file_repo.get_file( - filename=self.i_context.test_filename, relative_path=TEST_CODES_FILE_REPO - ) + test_doc = await self.project_repo.tests.get(filename=self.i_context.test_filename) if not test_doc: return "" prompt = PROMPT_TEMPLATE.format(code=code_doc.content, test_code=test_doc.content, logs=output_detail.stderr) diff --git a/metagpt/actions/design_api.py b/metagpt/actions/design_api.py index 5f973bb60..04c580226 100644 --- a/metagpt/actions/design_api.py +++ b/metagpt/actions/design_api.py @@ -15,13 +15,7 @@ from typing import Optional from metagpt.actions import Action, ActionOutput from metagpt.actions.design_api_an import DESIGN_API_NODE -from metagpt.const import ( - DATA_API_DESIGN_FILE_REPO, - PRDS_FILE_REPO, - SEQ_FLOW_FILE_REPO, - SYSTEM_DESIGN_FILE_REPO, - SYSTEM_DESIGN_PDF_FILE_REPO, -) +from metagpt.const import DATA_API_DESIGN_FILE_REPO, SEQ_FLOW_FILE_REPO from metagpt.logs import logger from metagpt.schema import Document, Documents, Message from metagpt.utils.mermaid import mermaid_to_file @@ -46,27 +40,21 @@ class WriteDesign(Action): async def run(self, with_messages: Message, schema: str = None): # Use `git status` to identify which PRD documents have been modified in the `docs/prds` directory. - prds_file_repo = self.git_repo.new_file_repository(PRDS_FILE_REPO) - changed_prds = prds_file_repo.changed_files + changed_prds = self.project_repo.docs.prd.changed_files # Use `git status` to identify which design documents in the `docs/system_designs` directory have undergone # changes. - system_design_file_repo = self.git_repo.new_file_repository(SYSTEM_DESIGN_FILE_REPO) - changed_system_designs = system_design_file_repo.changed_files + changed_system_designs = self.project_repo.docs.system_design.changed_files # For those PRDs and design documents that have undergone changes, regenerate the design content. changed_files = Documents() for filename in changed_prds.keys(): - doc = await self._update_system_design( - filename=filename, prds_file_repo=prds_file_repo, system_design_file_repo=system_design_file_repo - ) + doc = await self._update_system_design(filename=filename) changed_files.docs[filename] = doc for filename in changed_system_designs.keys(): if filename in changed_files.docs: continue - doc = await self._update_system_design( - filename=filename, prds_file_repo=prds_file_repo, system_design_file_repo=system_design_file_repo - ) + doc = await self._update_system_design(filename=filename) changed_files.docs[filename] = doc if not changed_files.docs: logger.info("Nothing has changed.") @@ -84,24 +72,22 @@ class WriteDesign(Action): system_design_doc.content = node.instruct_content.model_dump_json() return system_design_doc - async def _update_system_design(self, filename, prds_file_repo, system_design_file_repo) -> Document: - prd = await prds_file_repo.get(filename) - old_system_design_doc = await system_design_file_repo.get(filename) + async def _update_system_design(self, filename) -> Document: + prd = await self.project_repo.docs.prd.get(filename) + old_system_design_doc = await self.project_repo.docs.system_design.get(filename) if not old_system_design_doc: system_design = await self._new_system_design(context=prd.content) - doc = Document( - root_path=SYSTEM_DESIGN_FILE_REPO, + doc = await self.project_repo.docs.system_design.save( filename=filename, content=system_design.instruct_content.model_dump_json(), + dependencies={prd.root_relative_path}, ) else: doc = await self._merge(prd_doc=prd, system_design_doc=old_system_design_doc) - await system_design_file_repo.save( - filename=filename, content=doc.content, dependencies={prd.root_relative_path} - ) + await self.project_repo.docs.system_design.save_doc(doc=doc, dependencies={prd.root_relative_path}) await self._save_data_api_design(doc) await self._save_seq_flow(doc) - await self._save_pdf(doc) + await self.project_repo.resources.system_design.save_pdf(doc=doc) return doc async def _save_data_api_design(self, design_doc): @@ -109,7 +95,7 @@ class WriteDesign(Action): data_api_design = m.get("Data structures and interfaces") if not data_api_design: return - pathname = self.git_repo.workdir / DATA_API_DESIGN_FILE_REPO / Path(design_doc.filename).with_suffix("") + pathname = self.project_repo.workdir / DATA_API_DESIGN_FILE_REPO / Path(design_doc.filename).with_suffix("") await self._save_mermaid_file(data_api_design, pathname) logger.info(f"Save class view to {str(pathname)}") @@ -118,13 +104,10 @@ class WriteDesign(Action): seq_flow = m.get("Program call flow") if not seq_flow: return - pathname = self.git_repo.workdir / Path(SEQ_FLOW_FILE_REPO) / Path(design_doc.filename).with_suffix("") + pathname = self.project_repo.workdir / Path(SEQ_FLOW_FILE_REPO) / Path(design_doc.filename).with_suffix("") await self._save_mermaid_file(seq_flow, pathname) logger.info(f"Saving sequence flow to {str(pathname)}") - async def _save_pdf(self, design_doc): - await self.file_repo.save_as(doc=design_doc, with_suffix=".md", relative_path=SYSTEM_DESIGN_PDF_FILE_REPO) - async def _save_mermaid_file(self, data: str, pathname: Path): pathname.parent.mkdir(parents=True, exist_ok=True) await mermaid_to_file(self.config.mermaid_engine, data, pathname) diff --git a/metagpt/actions/prepare_documents.py b/metagpt/actions/prepare_documents.py index 8a9e78b2a..56c587cb3 100644 --- a/metagpt/actions/prepare_documents.py +++ b/metagpt/actions/prepare_documents.py @@ -12,8 +12,7 @@ from pathlib import Path from typing import Optional from metagpt.actions import Action, ActionOutput -from metagpt.const import DOCS_FILE_REPO, REQUIREMENT_FILENAME -from metagpt.schema import Document +from metagpt.const import REQUIREMENT_FILENAME from metagpt.utils.file_repository import FileRepository from metagpt.utils.git_repository import GitRepository @@ -38,7 +37,6 @@ class PrepareDocuments(Action): if path.exists() and not self.config.inc: shutil.rmtree(path) self.config.project_path = path - self.config.project_name = path.name self.context.git_repo = GitRepository(local_path=path, auto_init=True) async def run(self, with_messages, **kwargs): @@ -46,9 +44,7 @@ class PrepareDocuments(Action): self._init_repo() # Write the newly added requirements from the main parameter idea to `docs/requirement.txt`. - doc = Document(root_path=DOCS_FILE_REPO, filename=REQUIREMENT_FILENAME, content=with_messages[0].content) - await self.file_repo.save_file(filename=REQUIREMENT_FILENAME, content=doc.content, relative_path=DOCS_FILE_REPO) - + doc = await self.project_repo.docs.save(filename=REQUIREMENT_FILENAME, content=with_messages[0].content) # Send a Message notification to the WritePRD action, instructing it to process requirements using # `docs/requirement.txt` and `docs/prds/`. return ActionOutput(content=doc.content, instruct_content=doc) diff --git a/metagpt/actions/project_management.py b/metagpt/actions/project_management.py index bb8141a74..9ada629be 100644 --- a/metagpt/actions/project_management.py +++ b/metagpt/actions/project_management.py @@ -16,12 +16,7 @@ from typing import Optional from metagpt.actions import ActionOutput from metagpt.actions.action import Action from metagpt.actions.project_management_an import PM_NODE -from metagpt.const import ( - PACKAGE_REQUIREMENTS_FILENAME, - SYSTEM_DESIGN_FILE_REPO, - TASK_FILE_REPO, - TASK_PDF_FILE_REPO, -) +from metagpt.const import PACKAGE_REQUIREMENTS_FILENAME from metagpt.logs import logger from metagpt.schema import Document, Documents @@ -39,27 +34,20 @@ class WriteTasks(Action): i_context: Optional[str] = None async def run(self, with_messages): - system_design_file_repo = self.git_repo.new_file_repository(SYSTEM_DESIGN_FILE_REPO) - changed_system_designs = system_design_file_repo.changed_files - - tasks_file_repo = self.git_repo.new_file_repository(TASK_FILE_REPO) - changed_tasks = tasks_file_repo.changed_files + changed_system_designs = self.project_repo.docs.system_design.changed_files + changed_tasks = self.project_repo.docs.task.changed_files change_files = Documents() # Rewrite the system designs that have undergone changes based on the git head diff under # `docs/system_designs/`. for filename in changed_system_designs: - task_doc = await self._update_tasks( - filename=filename, system_design_file_repo=system_design_file_repo, tasks_file_repo=tasks_file_repo - ) + task_doc = await self._update_tasks(filename=filename) change_files.docs[filename] = task_doc # Rewrite the task files that have undergone changes based on the git head diff under `docs/tasks/`. for filename in changed_tasks: if filename in change_files.docs: continue - task_doc = await self._update_tasks( - filename=filename, system_design_file_repo=system_design_file_repo, tasks_file_repo=tasks_file_repo - ) + task_doc = await self._update_tasks(filename=filename) change_files.docs[filename] = task_doc if not change_files.docs: @@ -68,21 +56,22 @@ class WriteTasks(Action): # global optimization in subsequent steps. return ActionOutput(content=change_files.model_dump_json(), instruct_content=change_files) - async def _update_tasks(self, filename, system_design_file_repo, tasks_file_repo): - system_design_doc = await system_design_file_repo.get(filename) - task_doc = await tasks_file_repo.get(filename) + async def _update_tasks(self, filename): + system_design_doc = await self.project_repo.docs.system_design.get(filename) + task_doc = await self.project_repo.docs.task.get(filename) if task_doc: task_doc = await self._merge(system_design_doc=system_design_doc, task_doc=task_doc) + await self.project_repo.docs.task.save_doc( + doc=task_doc, dependencies={system_design_doc.root_relative_path} + ) else: rsp = await self._run_new_tasks(context=system_design_doc.content) - task_doc = Document( - root_path=TASK_FILE_REPO, filename=filename, content=rsp.instruct_content.model_dump_json() + task_doc = await self.project_repo.docs.task.save( + filename=filename, + content=rsp.instruct_content.model_dump_json(), + dependencies={system_design_doc.root_relative_path}, ) - await tasks_file_repo.save( - filename=filename, content=task_doc.content, dependencies={system_design_doc.root_relative_path} - ) await self._update_requirements(task_doc) - await self._save_pdf(task_doc=task_doc) return task_doc async def _run_new_tasks(self, context): @@ -98,8 +87,7 @@ class WriteTasks(Action): async def _update_requirements(self, doc): m = json.loads(doc.content) packages = set(m.get("Required Python third-party packages", set())) - file_repo = self.git_repo.new_file_repository() - requirement_doc = await file_repo.get(filename=PACKAGE_REQUIREMENTS_FILENAME) + requirement_doc = await self.project_repo.get(filename=PACKAGE_REQUIREMENTS_FILENAME) if not requirement_doc: requirement_doc = Document(filename=PACKAGE_REQUIREMENTS_FILENAME, root_path=".", content="") lines = requirement_doc.content.splitlines() @@ -107,7 +95,4 @@ class WriteTasks(Action): if pkg == "": continue packages.add(pkg) - await file_repo.save(PACKAGE_REQUIREMENTS_FILENAME, content="\n".join(packages)) - - async def _save_pdf(self, task_doc): - await self.file_repo.save_as(doc=task_doc, with_suffix=".md", relative_path=TASK_PDF_FILE_REPO) + await self.project_repo.save(filename=PACKAGE_REQUIREMENTS_FILENAME, content="\n".join(packages)) diff --git a/metagpt/actions/rebuild_class_view.py b/metagpt/actions/rebuild_class_view.py index d25d9e49b..2140ad874 100644 --- a/metagpt/actions/rebuild_class_view.py +++ b/metagpt/actions/rebuild_class_view.py @@ -20,7 +20,6 @@ from metagpt.const import ( GENERALIZATION, GRAPH_REPO_FILE_REPO, ) -from metagpt.context import CONTEXT from metagpt.logs import logger from metagpt.repo_parser import RepoParser from metagpt.schema import ClassAttribute, ClassMethod, ClassView @@ -31,7 +30,7 @@ from metagpt.utils.graph_repository import GraphKeyword, GraphRepository class RebuildClassView(Action): async def run(self, with_messages=None, format=config.prompt_schema): - graph_repo_pathname = CONTEXT.git_repo.workdir / GRAPH_REPO_FILE_REPO / CONTEXT.git_repo.workdir.name + graph_repo_pathname = self.context.git_repo.workdir / GRAPH_REPO_FILE_REPO / self.context.git_repo.workdir.name graph_db = await DiGraphRepository.load_from(str(graph_repo_pathname.with_suffix(".json"))) repo_parser = RepoParser(base_directory=Path(self.i_context)) # use pylint @@ -49,9 +48,9 @@ class RebuildClassView(Action): await graph_db.save() async def _create_mermaid_class_views(self, graph_db): - path = Path(CONTEXT.git_repo.workdir) / DATA_API_DESIGN_FILE_REPO + path = Path(self.context.git_repo.workdir) / DATA_API_DESIGN_FILE_REPO path.mkdir(parents=True, exist_ok=True) - pathname = path / CONTEXT.git_repo.workdir.name + pathname = path / self.context.git_repo.workdir.name async with aiofiles.open(str(pathname.with_suffix(".mmd")), mode="w", encoding="utf-8") as writer: content = "classDiagram\n" logger.debug(content) diff --git a/metagpt/actions/rebuild_sequence_view.py b/metagpt/actions/rebuild_sequence_view.py index b701e66de..777dde8ce 100644 --- a/metagpt/actions/rebuild_sequence_view.py +++ b/metagpt/actions/rebuild_sequence_view.py @@ -14,7 +14,6 @@ from typing import List from metagpt.actions import Action from metagpt.config2 import config from metagpt.const import GRAPH_REPO_FILE_REPO -from metagpt.context import CONTEXT from metagpt.logs import logger from metagpt.utils.common import aread, list_files from metagpt.utils.di_graph_repository import DiGraphRepository @@ -23,7 +22,7 @@ from metagpt.utils.graph_repository import GraphKeyword class RebuildSequenceView(Action): async def run(self, with_messages=None, format=config.prompt_schema): - graph_repo_pathname = CONTEXT.git_repo.workdir / GRAPH_REPO_FILE_REPO / CONTEXT.git_repo.workdir.name + graph_repo_pathname = self.context.git_repo.workdir / GRAPH_REPO_FILE_REPO / self.context.git_repo.workdir.name graph_db = await DiGraphRepository.load_from(str(graph_repo_pathname.with_suffix(".json"))) entries = await RebuildSequenceView._search_main_entry(graph_db) for entry in entries: @@ -43,6 +42,8 @@ class RebuildSequenceView(Action): async def _rebuild_sequence_view(self, entry, graph_db): filename = entry.subject.split(":", 1)[0] src_filename = RebuildSequenceView._get_full_filename(root=self.i_context, pathname=filename) + if not src_filename: + return content = await aread(filename=src_filename, encoding="utf-8") content = f"```python\n{content}\n```\n\n---\nTranslate the code above into Mermaid Sequence Diagram." data = await self.llm.aask( diff --git a/metagpt/actions/skill_action.py b/metagpt/actions/skill_action.py index 301cebaab..b68596809 100644 --- a/metagpt/actions/skill_action.py +++ b/metagpt/actions/skill_action.py @@ -29,9 +29,7 @@ class ArgumentsParingAction(Action): @property def prompt(self): - prompt = "You are a function parser. You can convert spoken words into function parameters.\n" - prompt += "\n---\n" - prompt += f"{self.skill.name} function parameters description:\n" + prompt = f"{self.skill.name} function parameters description:\n" for k, v in self.skill.arguments.items(): prompt += f"parameter `{k}`: {v}\n" prompt += "\n---\n" @@ -49,7 +47,10 @@ class ArgumentsParingAction(Action): async def run(self, with_message=None, **kwargs) -> Message: prompt = self.prompt - rsp = await self.llm.aask(msg=prompt, system_msgs=[]) + rsp = await self.llm.aask( + msg=prompt, + system_msgs=["You are a function parser.", "You can convert spoken words into function parameters."], + ) logger.debug(f"SKILL:{prompt}\n, RESULT:{rsp}") self.args = ArgumentsParingAction.parse_arguments(skill_name=self.skill.name, txt=rsp) self.rsp = Message(content=rsp, role="assistant", instruct_content=self.args, cause_by=self) diff --git a/metagpt/actions/summarize_code.py b/metagpt/actions/summarize_code.py index dde41d3c6..182561d59 100644 --- a/metagpt/actions/summarize_code.py +++ b/metagpt/actions/summarize_code.py @@ -11,7 +11,6 @@ from pydantic import Field from tenacity import retry, stop_after_attempt, wait_random_exponential from metagpt.actions.action import Action -from metagpt.const import SYSTEM_DESIGN_FILE_REPO, TASK_FILE_REPO from metagpt.logs import logger from metagpt.schema import CodeSummarizeContext @@ -99,11 +98,10 @@ class SummarizeCode(Action): async def run(self): design_pathname = Path(self.i_context.design_filename) - repo = self.file_repo - design_doc = await repo.get_file(filename=design_pathname.name, relative_path=SYSTEM_DESIGN_FILE_REPO) + design_doc = await self.project_repo.docs.system_design.get(filename=design_pathname.name) task_pathname = Path(self.i_context.task_filename) - task_doc = await repo.get_file(filename=task_pathname.name, relative_path=TASK_FILE_REPO) - src_file_repo = self.git_repo.new_file_repository(relative_path=self.context.src_workspace) + task_doc = await self.project_repo.docs.task.get(filename=task_pathname.name) + src_file_repo = self.project_repo.with_src_path(self.context.src_workspace).srcs code_blocks = [] for filename in self.i_context.codes_filenames: code_doc = await src_file_repo.get(filename) diff --git a/metagpt/actions/write_code.py b/metagpt/actions/write_code.py index 1b3dcf5f0..c0f1b1a93 100644 --- a/metagpt/actions/write_code.py +++ b/metagpt/actions/write_code.py @@ -21,13 +21,7 @@ from pydantic import Field from tenacity import retry, stop_after_attempt, wait_random_exponential from metagpt.actions.action import Action -from metagpt.const import ( - BUGFIX_FILENAME, - CODE_SUMMARIES_FILE_REPO, - DOCS_FILE_REPO, - TASK_FILE_REPO, - TEST_OUTPUTS_FILE_REPO, -) +from metagpt.const import BUGFIX_FILENAME from metagpt.logs import logger from metagpt.schema import CodingContext, Document, RunCodeResult from metagpt.utils.common import CodeParser @@ -94,16 +88,12 @@ class WriteCode(Action): return code async def run(self, *args, **kwargs) -> CodingContext: - bug_feedback = await self.file_repo.get_file(filename=BUGFIX_FILENAME, relative_path=DOCS_FILE_REPO) + bug_feedback = await self.project_repo.docs.get(filename=BUGFIX_FILENAME) coding_context = CodingContext.loads(self.i_context.content) - test_doc = await self.file_repo.get_file( - filename="test_" + coding_context.filename + ".json", relative_path=TEST_OUTPUTS_FILE_REPO - ) + test_doc = await self.project_repo.test_outputs.get(filename="test_" + coding_context.filename + ".json") summary_doc = None if coding_context.design_doc and coding_context.design_doc.filename: - summary_doc = await self.file_repo.get_file( - filename=coding_context.design_doc.filename, relative_path=CODE_SUMMARIES_FILE_REPO - ) + summary_doc = await self.project_repo.docs.code_summary.get(filename=coding_context.design_doc.filename) logs = "" if test_doc: test_detail = RunCodeResult.loads(test_doc.content) @@ -115,8 +105,7 @@ class WriteCode(Action): code_context = await self.get_codes( coding_context.task_doc, exclude=self.i_context.filename, - git_repo=self.git_repo, - src_workspace=self.context.src_workspace, + project_repo=self.project_repo.with_src_path(self.context.src_workspace), ) prompt = PROMPT_TEMPLATE.format( @@ -138,16 +127,15 @@ class WriteCode(Action): return coding_context @staticmethod - async def get_codes(task_doc, exclude, git_repo, src_workspace) -> str: + async def get_codes(task_doc, exclude, project_repo) -> str: if not task_doc: return "" if not task_doc.content: - file_repo = git_repo.new_file_repository() - task_doc.content = file_repo.get_file(filename=task_doc.filename, relative_path=TASK_FILE_REPO) + task_doc = project_repo.docs.task.get(filename=task_doc.filename) m = json.loads(task_doc.content) code_filenames = m.get("Task list", []) codes = [] - src_file_repo = git_repo.new_file_repository(relative_path=src_workspace) + src_file_repo = project_repo.srcs for filename in code_filenames: if filename == exclude: continue diff --git a/metagpt/actions/write_code_an_draft.py b/metagpt/actions/write_code_an_draft.py index 968c8924b..ce030b0e9 100644 --- a/metagpt/actions/write_code_an_draft.py +++ b/metagpt/actions/write_code_an_draft.py @@ -5,7 +5,7 @@ @File : write_review.py """ import asyncio -from typing import List +from typing import List, Literal from metagpt.actions import Action from metagpt.actions.action_node import ActionNode @@ -21,16 +21,15 @@ REVIEW = ActionNode( ], ) -LGTM = ActionNode( - key="LGTM", - expected_type=str, - instruction="LGTM/LBTM. If the code is fully implemented, " - "give a LGTM (Looks Good To Me), otherwise provide a LBTM (Looks Bad To Me).", +REVIEW_RESULT = ActionNode( + key="ReviewResult", + expected_type=Literal["LGTM", "LBTM"], + instruction="LGTM/LBTM. If the code is fully implemented, " "give a LGTM, otherwise provide a LBTM.", example="LBTM", ) -ACTIONS = ActionNode( - key="Actions", +NEXT_STEPS = ActionNode( + key="NextSteps", expected_type=str, instruction="Based on the code review outcome, suggest actionable steps. This can include code changes, " "refactoring suggestions, or any follow-up tasks.", @@ -69,7 +68,7 @@ WRITE_DRAFT = ActionNode( ) -WRITE_MOVE_FUNCTION = ActionNode( +WRITE_FUNCTION = ActionNode( key="WriteFunction", expected_type=str, instruction="write code for the function not implemented.", @@ -555,8 +554,8 @@ LBTM """ -WRITE_CODE_NODE = ActionNode.from_children("WRITE_REVIEW_NODE", [REVIEW, LGTM, ACTIONS]) -WRITE_MOVE_NODE = ActionNode.from_children("WRITE_MOVE_NODE", [WRITE_DRAFT, WRITE_MOVE_FUNCTION]) +WRITE_CODE_NODE = ActionNode.from_children("WRITE_REVIEW_NODE", [REVIEW, REVIEW_RESULT, NEXT_STEPS]) +WRITE_MOVE_NODE = ActionNode.from_children("WRITE_MOVE_NODE", [WRITE_DRAFT, WRITE_FUNCTION]) CR_FOR_MOVE_FUNCTION_BY_3 = """ @@ -579,8 +578,7 @@ class WriteCodeAN(Action): async def run(self, context): self.llm.system_prompt = "You are an outstanding engineer and can implement any code" - return await WRITE_MOVE_FUNCTION.fill(context=context, llm=self.llm, schema="json") - # return await WRITE_CODE_NODE.fill(context=context, llm=self.llm, schema="markdown") + return await WRITE_MOVE_NODE.fill(context=context, llm=self.llm, schema="json") async def main(): diff --git a/metagpt/actions/write_code_review.py b/metagpt/actions/write_code_review.py index b25f1ab69..21281dde1 100644 --- a/metagpt/actions/write_code_review.py +++ b/metagpt/actions/write_code_review.py @@ -143,8 +143,7 @@ class WriteCodeReview(Action): code_context = await WriteCode.get_codes( self.i_context.task_doc, exclude=self.i_context.filename, - git_repo=self.context.git_repo, - src_workspace=self.src_workspace, + project_repo=self.project_repo.with_src_path(self.context.src_workspace), ) context = "\n".join( [ diff --git a/metagpt/actions/write_prd.py b/metagpt/actions/write_prd.py index a838dea8e..38ac62536 100644 --- a/metagpt/actions/write_prd.py +++ b/metagpt/actions/write_prd.py @@ -29,9 +29,6 @@ from metagpt.actions.write_prd_an import ( from metagpt.const import ( BUGFIX_FILENAME, COMPETITIVE_ANALYSIS_FILE_REPO, - DOCS_FILE_REPO, - PRD_PDF_FILE_REPO, - PRDS_FILE_REPO, REQUIREMENT_FILENAME, ) from metagpt.logs import logger @@ -67,11 +64,10 @@ class WritePRD(Action): async def run(self, with_messages, *args, **kwargs) -> ActionOutput | Message: # Determine which requirement documents need to be rewritten: Use LLM to assess whether new requirements are # related to the PRD. If they are related, rewrite the PRD. - docs_file_repo = self.git_repo.new_file_repository(relative_path=DOCS_FILE_REPO) - requirement_doc = await docs_file_repo.get(filename=REQUIREMENT_FILENAME) + requirement_doc = await self.project_repo.docs.get(filename=REQUIREMENT_FILENAME) if requirement_doc and await self._is_bugfix(requirement_doc.content): - await docs_file_repo.save(filename=BUGFIX_FILENAME, content=requirement_doc.content) - await docs_file_repo.save(filename=REQUIREMENT_FILENAME, content="") + await self.project_repo.docs.save(filename=BUGFIX_FILENAME, content=requirement_doc.content) + await self.project_repo.docs.save(filename=REQUIREMENT_FILENAME, content="") bug_fix = BugFixContext(filename=BUGFIX_FILENAME) return Message( content=bug_fix.model_dump_json(), @@ -82,24 +78,19 @@ class WritePRD(Action): send_to="Alex", # the name of Engineer ) else: - await docs_file_repo.delete(filename=BUGFIX_FILENAME) + await self.project_repo.docs.delete(filename=BUGFIX_FILENAME) - prds_file_repo = self.git_repo.new_file_repository(PRDS_FILE_REPO) - prd_docs = await prds_file_repo.get_all() + prd_docs = await self.project_repo.docs.prd.get_all() change_files = Documents() for prd_doc in prd_docs: - prd_doc = await self._update_prd( - requirement_doc=requirement_doc, prd_doc=prd_doc, prds_file_repo=prds_file_repo, *args, **kwargs - ) + prd_doc = await self._update_prd(requirement_doc=requirement_doc, prd_doc=prd_doc, *args, **kwargs) if not prd_doc: continue change_files.docs[prd_doc.filename] = prd_doc logger.info(f"rewrite prd: {prd_doc.filename}") # If there is no existing PRD, generate one using 'docs/requirement.txt'. if not change_files.docs: - prd_doc = await self._update_prd( - requirement_doc=requirement_doc, prd_doc=None, prds_file_repo=prds_file_repo, *args, **kwargs - ) + prd_doc = await self._update_prd(requirement_doc=requirement_doc, *args, **kwargs) if prd_doc: change_files.docs[prd_doc.filename] = prd_doc logger.debug(f"new prd: {prd_doc.filename}") @@ -109,13 +100,6 @@ class WritePRD(Action): return ActionOutput(content=change_files.model_dump_json(), instruct_content=change_files) async def _run_new_requirement(self, requirements) -> ActionOutput: - # sas = SearchAndSummarize() - # # rsp = await sas.run(context=requirements, system_text=SEARCH_AND_SUMMARIZE_SYSTEM_EN_US) - # rsp = "" - # info = f"### Search Results\n{sas.result}\n\n### Search Summary\n{rsp}" - # if sas.result: - # logger.info(sas.result) - # logger.info(rsp) project_name = self.project_name context = CONTEXT_TEMPLATE.format(requirements=requirements, project_name=project_name) exclude = [PROJECT_NAME.key] if project_name else [] @@ -137,23 +121,21 @@ class WritePRD(Action): await self._rename_workspace(node) return prd_doc - async def _update_prd(self, requirement_doc, prd_doc, prds_file_repo, *args, **kwargs) -> Document | None: + async def _update_prd(self, requirement_doc, prd_doc=None, *args, **kwargs) -> Document | None: if not prd_doc: prd = await self._run_new_requirement( requirements=[requirement_doc.content if requirement_doc else ""], *args, **kwargs ) - new_prd_doc = Document( - root_path=PRDS_FILE_REPO, - filename=FileRepository.new_filename() + ".json", - content=prd.instruct_content.model_dump_json(), + new_prd_doc = await self.project_repo.docs.prd.save( + filename=FileRepository.new_filename() + ".json", content=prd.instruct_content.model_dump_json() ) elif await self._is_relative(requirement_doc, prd_doc): new_prd_doc = await self._merge(requirement_doc, prd_doc) + self.project_repo.docs.prd.save_doc(doc=new_prd_doc) else: return None - await prds_file_repo.save(filename=new_prd_doc.filename, content=new_prd_doc.content) await self._save_competitive_analysis(new_prd_doc) - await self._save_pdf(new_prd_doc) + await self.project_repo.resources.prd.save_pdf(doc=new_prd_doc) return new_prd_doc async def _save_competitive_analysis(self, prd_doc): @@ -161,14 +143,13 @@ class WritePRD(Action): quadrant_chart = m.get("Competitive Quadrant Chart") if not quadrant_chart: return - pathname = self.git_repo.workdir / Path(COMPETITIVE_ANALYSIS_FILE_REPO) / Path(prd_doc.filename).with_suffix("") + pathname = ( + self.project_repo.workdir / Path(COMPETITIVE_ANALYSIS_FILE_REPO) / Path(prd_doc.filename).with_suffix("") + ) if not pathname.parent.exists(): pathname.parent.mkdir(parents=True, exist_ok=True) await mermaid_to_file(self.config.mermaid_engine, quadrant_chart, pathname) - async def _save_pdf(self, prd_doc): - await self.file_repo.save_as(doc=prd_doc, with_suffix=".md", relative_path=PRD_PDF_FILE_REPO) - async def _rename_workspace(self, prd): if not self.project_name: if isinstance(prd, (ActionOutput, ActionNode)): @@ -177,11 +158,14 @@ class WritePRD(Action): ws_name = CodeParser.parse_str(block="Project Name", text=prd) if ws_name: self.project_name = ws_name - self.git_repo.rename_root(self.project_name) + self.project_repo.git_repo.rename_root(self.project_name) async def _is_bugfix(self, context) -> bool: - src_workspace_path = self.git_repo.workdir / self.git_repo.workdir.name - code_files = self.git_repo.get_files(relative_path=src_workspace_path) + git_workdir = self.project_repo.git_repo.workdir + src_workdir = git_workdir / git_workdir.name + if not src_workdir.exists(): + return False + code_files = self.project_repo.with_src_path(path=git_workdir / git_workdir.name).srcs.all_files if not code_files: return False node = await WP_ISSUE_TYPE_NODE.fill(context, self.llm) diff --git a/metagpt/actions/write_teaching_plan.py b/metagpt/actions/write_teaching_plan.py index 1678bc8dc..c5f70ae05 100644 --- a/metagpt/actions/write_teaching_plan.py +++ b/metagpt/actions/write_teaching_plan.py @@ -8,7 +8,7 @@ from typing import Optional from metagpt.actions import Action -from metagpt.context import CONTEXT +from metagpt.context import Context from metagpt.logs import logger @@ -24,7 +24,7 @@ class WriteTeachingPlanPart(Action): statement_patterns = TeachingPlanBlock.TOPIC_STATEMENTS.get(self.topic, []) statements = [] for p in statement_patterns: - s = self.format_value(p) + s = self.format_value(p, context=self.context) statements.append(s) formatter = ( TeachingPlanBlock.PROMPT_TITLE_TEMPLATE @@ -68,21 +68,23 @@ class WriteTeachingPlanPart(Action): return self.topic @staticmethod - def format_value(value): + def format_value(value, context: Context): """Fill parameters inside `value` with `options`.""" if not isinstance(value, str): return value if "{" not in value: return value - # FIXME: 从Context中获取参数，而非从options - merged_opts = CONTEXT.options or {} + options = context.config.model_dump() + for k, v in context.kwargs: + options[k] = v # None value is allowed to override and disable the value from config. + opts = {k: v for k, v in options.items() if v is not None} try: - return value.format(**merged_opts) + return value.format(**opts) except KeyError as e: logger.warning(f"Parameter is missing:{e}") - for k, v in merged_opts.items(): + for k, v in opts.items(): value = value.replace("{" + f"{k}" + "}", str(v)) return value diff --git a/metagpt/config2.py b/metagpt/config2.py index 2d4ac0930..1d58b9d63 100644 --- a/metagpt/config2.py +++ b/metagpt/config2.py @@ -84,7 +84,7 @@ class Config(CLIParams, YamlModel): @classmethod def from_home(cls, path): """Load config from ~/.metagpt/config.yaml""" - return Config.model_validate_yaml(CONFIG_ROOT / path) + return Config.from_yaml_file(CONFIG_ROOT / path) @classmethod def default(cls): diff --git a/metagpt/const.py b/metagpt/const.py index 8e89b0526..0ae425a47 100644 --- a/metagpt/const.py +++ b/metagpt/const.py @@ -9,7 +9,6 @@ @Modified By: mashenquan, 2023-11-27. Defines file repository paths according to Section 2.2.3.4 of RFC 135. @Modified By: mashenquan, 2023/12/5. Add directories for code summarization.. """ -import contextvars import os from pathlib import Path @@ -17,8 +16,6 @@ from loguru import logger import metagpt -OPTIONS = contextvars.ContextVar("OPTIONS", default={}) - def get_metagpt_package_root(): """Get the root directory of the installed package.""" @@ -71,12 +68,10 @@ SOURCE_ROOT = METAGPT_ROOT / "metagpt" PROMPT_PATH = SOURCE_ROOT / "prompts" SKILL_DIRECTORY = SOURCE_ROOT / "skills" - # REAL CONSTS MEM_TTL = 24 * 30 * 3600 - MESSAGE_ROUTE_FROM = "sent_from" MESSAGE_ROUTE_TO = "send_to" MESSAGE_ROUTE_CAUSE_BY = "cause_by" @@ -89,23 +84,23 @@ BUGFIX_FILENAME = "bugfix.txt" PACKAGE_REQUIREMENTS_FILENAME = "requirements.txt" DOCS_FILE_REPO = "docs" -PRDS_FILE_REPO = "docs/prds" +PRDS_FILE_REPO = "docs/prd" SYSTEM_DESIGN_FILE_REPO = "docs/system_design" -TASK_FILE_REPO = "docs/tasks" +TASK_FILE_REPO = "docs/task" COMPETITIVE_ANALYSIS_FILE_REPO = "resources/competitive_analysis" DATA_API_DESIGN_FILE_REPO = "resources/data_api_design" SEQ_FLOW_FILE_REPO = "resources/seq_flow" SYSTEM_DESIGN_PDF_FILE_REPO = "resources/system_design" PRD_PDF_FILE_REPO = "resources/prd" -TASK_PDF_FILE_REPO = "resources/api_spec_and_tasks" +TASK_PDF_FILE_REPO = "resources/api_spec_and_task" TEST_CODES_FILE_REPO = "tests" TEST_OUTPUTS_FILE_REPO = "test_outputs" -CODE_SUMMARIES_FILE_REPO = "docs/code_summaries" -CODE_SUMMARIES_PDF_FILE_REPO = "resources/code_summaries" +CODE_SUMMARIES_FILE_REPO = "docs/code_summary" +CODE_SUMMARIES_PDF_FILE_REPO = "resources/code_summary" RESOURCES_FILE_REPO = "resources" -SD_OUTPUT_FILE_REPO = "resources/SD_Output" +SD_OUTPUT_FILE_REPO = "resources/sd_output" GRAPH_REPO_FILE_REPO = "docs/graph_repo" -CLASS_VIEW_FILE_REPO = "docs/class_views" +CLASS_VIEW_FILE_REPO = "docs/class_view" YAPI_URL = "http://yapi.deepwisdomai.com/" diff --git a/metagpt/context.py b/metagpt/context.py index a5ff610eb..1e0d91237 100644 --- a/metagpt/context.py +++ b/metagpt/context.py @@ -7,13 +7,12 @@ """ import os from pathlib import Path -from typing import Optional +from typing import Any, Optional from pydantic import BaseModel, ConfigDict from metagpt.config2 import Config from metagpt.configs.llm_config import LLMConfig -from metagpt.const import OPTIONS from metagpt.provider.base_llm import BaseLLM from metagpt.provider.llm_provider_registry import create_llm_instance from metagpt.utils.cost_manager import CostManager @@ -41,6 +40,16 @@ class AttrDict(BaseModel): else: raise AttributeError(f"No such attribute: {key}") + def set(self, key, val: Any): + self.__dict__[key] = val + + def get(self, key, default: Any = None): + return self.__dict__.get(key, default) + + def remove(self, key): + if key in self.__dict__: + self.__delattr__(key) + class Context(BaseModel): """Env context for MetaGPT""" @@ -55,15 +64,6 @@ class Context(BaseModel): _llm: Optional[BaseLLM] = None - @property - def file_repo(self): - return self.git_repo.new_file_repository() - - @property - def options(self): - """Return all key-values""" - return OPTIONS.get() - def new_environ(self): """Return a new os.environ object""" env = os.environ.copy() diff --git a/metagpt/learn/text_to_embedding.py b/metagpt/learn/text_to_embedding.py index 6a4342b06..f859ab638 100644 --- a/metagpt/learn/text_to_embedding.py +++ b/metagpt/learn/text_to_embedding.py @@ -6,16 +6,19 @@ @File : text_to_embedding.py @Desc : Text-to-Embedding skill, which provides text-to-embedding functionality. """ - +import metagpt.config2 +from metagpt.config2 import Config from metagpt.tools.openai_text_to_embedding import oas3_openai_text_to_embedding -async def text_to_embedding(text, model="text-embedding-ada-002", openai_api_key="", **kwargs): +async def text_to_embedding(text, model="text-embedding-ada-002", config: Config = metagpt.config2.config): """Text to embedding :param text: The text used for embedding. :param model: One of ['text-embedding-ada-002'], ID of the model to use. For more details, checkout: `https://api.openai.com/v1/models`. - :param openai_api_key: OpenAI API key, For more details, checkout: `https://platform.openai.com/account/api-keys` + :param config: OpenAI config with API key, For more details, checkout: `https://platform.openai.com/account/api-keys` :return: A json object of :class:`ResultEmbedding` class if successful, otherwise `{}`. """ - return await oas3_openai_text_to_embedding(text, model=model, openai_api_key=openai_api_key) + openai_api_key = config.get_openai_llm().api_key + proxy = config.get_openai_llm().proxy + return await oas3_openai_text_to_embedding(text, model=model, openai_api_key=openai_api_key, proxy=proxy) diff --git a/metagpt/learn/text_to_image.py b/metagpt/learn/text_to_image.py index 1af66d6fb..e2fac7647 100644 --- a/metagpt/learn/text_to_image.py +++ b/metagpt/learn/text_to_image.py @@ -8,6 +8,7 @@ """ import base64 +import metagpt.config2 from metagpt.config2 import Config from metagpt.const import BASE64_FORMAT from metagpt.llm import LLM @@ -16,27 +17,26 @@ from metagpt.tools.openai_text_to_image import oas3_openai_text_to_image from metagpt.utils.s3 import S3 -async def text_to_image(text, size_type: str = "512x512", model_url="", config: Config = None): +async def text_to_image(text, size_type: str = "512x512", config: Config = metagpt.config2.config): """Text to image :param text: The text used for image conversion. - :param openai_api_key: OpenAI API key, For more details, checkout: `https://platform.openai.com/account/api-keys` :param size_type: If using OPENAI, the available size options are ['256x256', '512x512', '1024x1024'], while for MetaGPT, the options are ['512x512', '512x768']. - :param model_url: MetaGPT model url :param config: Config :return: The image data is returned in Base64 encoding. """ image_declaration = "data:image/png;base64," + model_url = config.METAGPT_TEXT_TO_IMAGE_MODEL_URL if model_url: binary_data = await oas3_metagpt_text_to_image(text, size_type, model_url) - elif oai_llm := config.get_openai_llm(): - binary_data = await oas3_openai_text_to_image(text, size_type, LLM(oai_llm)) + elif config.get_openai_llm(): + llm = LLM(llm_config=config.get_openai_llm()) + binary_data = await oas3_openai_text_to_image(text, size_type, llm=llm) else: raise ValueError("Missing necessary parameters.") base64_data = base64.b64encode(binary_data).decode("utf-8") - assert config.s3, "S3 config is required." s3 = S3(config.s3) url = await s3.cache(data=base64_data, file_ext=".png", format=BASE64_FORMAT) if url: diff --git a/metagpt/learn/text_to_speech.py b/metagpt/learn/text_to_speech.py index 8ffafbd0e..37e56eaff 100644 --- a/metagpt/learn/text_to_speech.py +++ b/metagpt/learn/text_to_speech.py @@ -6,8 +6,8 @@ @File : text_to_speech.py @Desc : Text-to-Speech skill, which provides text-to-speech functionality """ - -from metagpt.config2 import config +import metagpt.config2 +from metagpt.config2 import Config from metagpt.const import BASE64_FORMAT from metagpt.tools.azure_tts import oas3_azsure_tts from metagpt.tools.iflytek_tts import oas3_iflytek_tts @@ -20,12 +20,7 @@ async def text_to_speech( voice="zh-CN-XiaomoNeural", style="affectionate", role="Girl", - subscription_key="", - region="", - iflytek_app_id="", - iflytek_api_key="", - iflytek_api_secret="", - **kwargs, + config: Config = metagpt.config2.config, ): """Text to speech For more details, check out:`https://learn.microsoft.com/en-us/azure/ai-services/speech-service/language-support?tabs=tts` @@ -44,6 +39,8 @@ async def text_to_speech( """ + subscription_key = config.AZURE_TTS_SUBSCRIPTION_KEY + region = config.AZURE_TTS_REGION if subscription_key and region: audio_declaration = "data:audio/wav;base64," base64_data = await oas3_azsure_tts(text, lang, voice, style, role, subscription_key, region) @@ -52,6 +49,10 @@ async def text_to_speech( if url: return f"[{text}]({url})" return audio_declaration + base64_data if base64_data else base64_data + + iflytek_app_id = config.IFLYTEK_APP_ID + iflytek_api_key = config.IFLYTEK_API_KEY + iflytek_api_secret = config.IFLYTEK_API_SECRET if iflytek_app_id and iflytek_api_key and iflytek_api_secret: audio_declaration = "data:audio/mp3;base64," base64_data = await oas3_iflytek_tts( diff --git a/metagpt/provider/openai_api.py b/metagpt/provider/openai_api.py index 05a8d75f8..3f3a4e1a7 100644 --- a/metagpt/provider/openai_api.py +++ b/metagpt/provider/openai_api.py @@ -223,7 +223,7 @@ class OpenAILLM(BaseLLM): def get_costs(self) -> Costs: if not self.cost_manager: - return Costs() + return Costs(0, 0, 0, 0) return self.cost_manager.get_costs() def _get_max_tokens(self, messages: list[dict]): diff --git a/metagpt/roles/assistant.py b/metagpt/roles/assistant.py index 8939094ed..1c5315eee 100644 --- a/metagpt/roles/assistant.py +++ b/metagpt/roles/assistant.py @@ -65,7 +65,7 @@ class Assistant(Role): prompt += f"If the text explicitly want you to {desc}, return `[SKILL]: {name}` brief and clear. For instance: [SKILL]: {name}\n" prompt += 'Otherwise, return `[TALK]: {talk}` brief and clear. For instance: if {talk} is "xxxx" return [TALK]: xxxx\n\n' prompt += f"Now what specific action is explicitly mentioned in the text: {last_talk}\n" - rsp = await self.llm.aask(prompt, []) + rsp = await self.llm.aask(prompt, ["You are an action classifier"]) logger.info(f"THINK: {prompt}\n, THINK RESULT: {rsp}\n") return await self._plan(rsp, last_talk=last_talk) @@ -98,9 +98,7 @@ class Assistant(Role): history = self.memory.history_text text = kwargs.get("last_talk") or text self.set_todo( - TalkAction( - context=text, knowledge=self.memory.get_knowledge(), history_summary=history, llm=self.llm, **kwargs - ) + TalkAction(i_context=text, knowledge=self.memory.get_knowledge(), history_summary=history, llm=self.llm) ) return True @@ -110,7 +108,7 @@ class Assistant(Role): if not skill: logger.info(f"skill not found: {text}") return await self.talk_handler(text=last_talk, **kwargs) - action = ArgumentsParingAction(skill=skill, llm=self.llm, ask=last_talk, **kwargs) + action = ArgumentsParingAction(skill=skill, llm=self.llm, ask=last_talk) await action.run(**kwargs) if action.args is None: return await self.talk_handler(text=last_talk, **kwargs) diff --git a/metagpt/roles/engineer.py b/metagpt/roles/engineer.py index 8b0895a69..c83a776c2 100644 --- a/metagpt/roles/engineer.py +++ b/metagpt/roles/engineer.py @@ -27,12 +27,7 @@ from typing import Set from metagpt.actions import Action, WriteCode, WriteCodeReview, WriteTasks from metagpt.actions.fix_bug import FixBug from metagpt.actions.summarize_code import SummarizeCode -from metagpt.const import ( - CODE_SUMMARIES_FILE_REPO, - CODE_SUMMARIES_PDF_FILE_REPO, - SYSTEM_DESIGN_FILE_REPO, - TASK_FILE_REPO, -) +from metagpt.const import SYSTEM_DESIGN_FILE_REPO, TASK_FILE_REPO from metagpt.logs import logger from metagpt.roles import Role from metagpt.schema import ( @@ -97,7 +92,6 @@ class Engineer(Role): async def _act_sp_with_cr(self, review=False) -> Set[str]: changed_files = set() - src_file_repo = self.git_repo.new_file_repository(self.src_workspace) for todo in self.code_todos: """ # Select essential information from the historical data to reduce the length of the prompt (summarized from human experience): @@ -112,8 +106,8 @@ class Engineer(Role): action = WriteCodeReview(i_context=coding_context, context=self.context, llm=self.llm) self._init_action(action) coding_context = await action.run() - await src_file_repo.save( - coding_context.filename, + await self.project_repo.srcs.save( + filename=coding_context.filename, dependencies={coding_context.design_doc.root_relative_path, coding_context.task_doc.root_relative_path}, content=coding_context.code_doc.content, ) @@ -153,31 +147,29 @@ class Engineer(Role): ) async def _act_summarize(self): - code_summaries_file_repo = self.git_repo.new_file_repository(CODE_SUMMARIES_FILE_REPO) - code_summaries_pdf_file_repo = self.git_repo.new_file_repository(CODE_SUMMARIES_PDF_FILE_REPO) tasks = [] - src_relative_path = self.src_workspace.relative_to(self.git_repo.workdir) for todo in self.summarize_todos: summary = await todo.run() summary_filename = Path(todo.i_context.design_filename).with_suffix(".md").name dependencies = {todo.i_context.design_filename, todo.i_context.task_filename} for filename in todo.i_context.codes_filenames: - rpath = src_relative_path / filename + rpath = self.project_repo.src_relative_path / filename dependencies.add(str(rpath)) - await code_summaries_pdf_file_repo.save( + await self.project_repo.resources.code_summary.save( filename=summary_filename, content=summary, dependencies=dependencies ) is_pass, reason = await self._is_pass(summary) if not is_pass: todo.i_context.reason = reason tasks.append(todo.i_context.dict()) - await code_summaries_file_repo.save( + + await self.project_repo.docs.code_summary.save( filename=Path(todo.i_context.design_filename).name, content=todo.i_context.model_dump_json(), dependencies=dependencies, ) else: - await code_summaries_file_repo.delete(filename=Path(todo.i_context.design_filename).name) + await self.project_repo.docs.code_summary.delete(filename=Path(todo.i_context.design_filename).name) logger.info(f"--max-auto-summarize-code={self.config.max_auto_summarize_code}") if not tasks or self.config.max_auto_summarize_code == 0: @@ -220,60 +212,54 @@ class Engineer(Role): return self.rc.todo return None - @staticmethod - async def _new_coding_context( - filename, src_file_repo, task_file_repo, design_file_repo, dependency - ) -> CodingContext: - old_code_doc = await src_file_repo.get(filename) + async def _new_coding_context(self, filename, dependency) -> CodingContext: + old_code_doc = await self.project_repo.srcs.get(filename) if not old_code_doc: - old_code_doc = Document(root_path=str(src_file_repo.root_path), filename=filename, content="") + old_code_doc = Document(root_path=str(self.project_repo.src_relative_path), filename=filename, content="") dependencies = {Path(i) for i in await dependency.get(old_code_doc.root_relative_path)} task_doc = None design_doc = None for i in dependencies: if str(i.parent) == TASK_FILE_REPO: - task_doc = await task_file_repo.get(i.name) + task_doc = await self.project_repo.docs.task.get(i.name) elif str(i.parent) == SYSTEM_DESIGN_FILE_REPO: - design_doc = await design_file_repo.get(i.name) + design_doc = await self.project_repo.docs.system_design.get(i.name) if not task_doc or not design_doc: logger.error(f'Detected source code "{filename}" from an unknown origin.') raise ValueError(f'Detected source code "{filename}" from an unknown origin.') context = CodingContext(filename=filename, design_doc=design_doc, task_doc=task_doc, code_doc=old_code_doc) return context - @staticmethod - async def _new_coding_doc(filename, src_file_repo, task_file_repo, design_file_repo, dependency): - context = await Engineer._new_coding_context( - filename, src_file_repo, task_file_repo, design_file_repo, dependency - ) + async def _new_coding_doc(self, filename, dependency): + context = await self._new_coding_context(filename, dependency) coding_doc = Document( - root_path=str(src_file_repo.root_path), filename=filename, content=context.model_dump_json() + root_path=str(self.project_repo.src_relative_path), filename=filename, content=context.model_dump_json() ) return coding_doc async def _new_code_actions(self, bug_fix=False): # Prepare file repos - src_file_repo = self.git_repo.new_file_repository(self.src_workspace) - changed_src_files = src_file_repo.all_files if bug_fix else src_file_repo.changed_files - task_file_repo = self.git_repo.new_file_repository(TASK_FILE_REPO) - changed_task_files = task_file_repo.changed_files - design_file_repo = self.git_repo.new_file_repository(SYSTEM_DESIGN_FILE_REPO) - + changed_src_files = self.project_repo.srcs.all_files if bug_fix else self.project_repo.srcs.changed_files + changed_task_files = self.project_repo.docs.task.changed_files changed_files = Documents() # Recode caused by upstream changes. for filename in changed_task_files: - design_doc = await design_file_repo.get(filename) - task_doc = await task_file_repo.get(filename) + design_doc = await self.project_repo.docs.system_design.get(filename) + task_doc = await self.project_repo.docs.task.get(filename) task_list = self._parse_tasks(task_doc) for task_filename in task_list: - old_code_doc = await src_file_repo.get(task_filename) + old_code_doc = await self.project_repo.srcs.get(task_filename) if not old_code_doc: - old_code_doc = Document(root_path=str(src_file_repo.root_path), filename=task_filename, content="") + old_code_doc = Document( + root_path=str(self.project_repo.src_relative_path), filename=task_filename, content="" + ) context = CodingContext( filename=task_filename, design_doc=design_doc, task_doc=task_doc, code_doc=old_code_doc ) coding_doc = Document( - root_path=str(src_file_repo.root_path), filename=task_filename, content=context.model_dump_json() + root_path=str(self.project_repo.src_relative_path), + filename=task_filename, + content=context.model_dump_json(), ) if task_filename in changed_files.docs: logger.warning( @@ -289,13 +275,7 @@ class Engineer(Role): for filename in changed_src_files: if filename in changed_files.docs: continue - coding_doc = await self._new_coding_doc( - filename=filename, - src_file_repo=src_file_repo, - task_file_repo=task_file_repo, - design_file_repo=design_file_repo, - dependency=dependency, - ) + coding_doc = await self._new_coding_doc(filename=filename, dependency=dependency) changed_files.docs[filename] = coding_doc self.code_todos.append(WriteCode(i_context=coding_doc, context=self.context, llm=self.llm)) @@ -303,13 +283,12 @@ class Engineer(Role): self.set_todo(self.code_todos[0]) async def _new_summarize_actions(self): - src_file_repo = self.git_repo.new_file_repository(self.src_workspace) - src_files = src_file_repo.all_files + src_files = self.project_repo.srcs.all_files # Generate a SummarizeCode action for each pair of (system_design_doc, task_doc). summarizations = defaultdict(list) for filename in src_files: - dependencies = await src_file_repo.get_dependency(filename=filename) - ctx = CodeSummarizeContext.loads(filenames=dependencies) + dependencies = await self.project_repo.srcs.get_dependency(filename=filename) + ctx = CodeSummarizeContext.loads(filenames=list(dependencies)) summarizations[ctx].append(filename) for ctx, filenames in summarizations.items(): ctx.codes_filenames = filenames diff --git a/metagpt/roles/qa_engineer.py b/metagpt/roles/qa_engineer.py index cd043b551..0666a63db 100644 --- a/metagpt/roles/qa_engineer.py +++ b/metagpt/roles/qa_engineer.py @@ -17,11 +17,7 @@ from metagpt.actions import DebugError, RunCode, WriteTest from metagpt.actions.summarize_code import SummarizeCode -from metagpt.const import ( - MESSAGE_ROUTE_TO_NONE, - TEST_CODES_FILE_REPO, - TEST_OUTPUTS_FILE_REPO, -) +from metagpt.const import MESSAGE_ROUTE_TO_NONE from metagpt.logs import logger from metagpt.roles import Role from metagpt.schema import Document, Message, RunCodeContext, TestingContext @@ -48,29 +44,26 @@ class QaEngineer(Role): self.test_round = 0 async def _write_test(self, message: Message) -> None: - src_file_repo = self.context.git_repo.new_file_repository(self.context.src_workspace) + src_file_repo = self.project_repo.with_src_path(self.context.src_workspace).srcs changed_files = set(src_file_repo.changed_files.keys()) # Unit tests only. if self.config.reqa_file and self.config.reqa_file not in changed_files: changed_files.add(self.config.reqa_file) - tests_file_repo = self.context.git_repo.new_file_repository(TEST_CODES_FILE_REPO) for filename in changed_files: # write tests if not filename or "test" in filename: continue code_doc = await src_file_repo.get(filename) - test_doc = await tests_file_repo.get("test_" + code_doc.filename) + test_doc = await self.project_repo.tests.get("test_" + code_doc.filename) if not test_doc: test_doc = Document( - root_path=str(tests_file_repo.root_path), filename="test_" + code_doc.filename, content="" + root_path=str(self.project_repo.tests.root_path), filename="test_" + code_doc.filename, content="" ) logger.info(f"Writing {test_doc.filename}..") context = TestingContext(filename=test_doc.filename, test_doc=test_doc, code_doc=code_doc) context = await WriteTest(i_context=context, context=self.context, llm=self.llm).run() - await tests_file_repo.save( - filename=context.test_doc.filename, - content=context.test_doc.content, - dependencies={context.code_doc.root_relative_path}, + await self.project_repo.tests.save_doc( + doc=context.test_doc, dependencies={context.code_doc.root_relative_path} ) # prepare context for run tests in next round @@ -78,7 +71,7 @@ class QaEngineer(Role): command=["python", context.test_doc.root_relative_path], code_filename=context.code_doc.filename, test_filename=context.test_doc.filename, - working_directory=str(self.context.git_repo.workdir), + working_directory=str(self.project_repo.workdir), additional_python_paths=[str(self.context.src_workspace)], ) self.publish_message( @@ -91,25 +84,23 @@ class QaEngineer(Role): ) ) - logger.info(f"Done {str(tests_file_repo.workdir)} generating.") + logger.info(f"Done {str(self.project_repo.tests.workdir)} generating.") async def _run_code(self, msg): run_code_context = RunCodeContext.loads(msg.content) - src_doc = await self.context.git_repo.new_file_repository(self.context.src_workspace).get( + src_doc = await self.project_repo.with_src_path(self.context.src_workspace).srcs.get( run_code_context.code_filename ) if not src_doc: return - test_doc = await self.context.git_repo.new_file_repository(TEST_CODES_FILE_REPO).get( - run_code_context.test_filename - ) + test_doc = await self.project_repo.tests.get(run_code_context.test_filename) if not test_doc: return run_code_context.code = src_doc.content run_code_context.test_code = test_doc.content result = await RunCode(i_context=run_code_context, context=self.context, llm=self.llm).run() run_code_context.output_filename = run_code_context.test_filename + ".json" - await self.context.git_repo.new_file_repository(TEST_OUTPUTS_FILE_REPO).save( + await self.project_repo.test_outputs.save( filename=run_code_context.output_filename, content=result.model_dump_json(), dependencies={src_doc.root_relative_path, test_doc.root_relative_path}, @@ -132,9 +123,7 @@ class QaEngineer(Role): async def _debug_error(self, msg): run_code_context = RunCodeContext.loads(msg.content) code = await DebugError(i_context=run_code_context, context=self.context, llm=self.llm).run() - await self.context.file_repo.save_file( - filename=run_code_context.test_filename, content=code, relative_path=TEST_CODES_FILE_REPO - ) + await self.project_repo.tests.save(filename=run_code_context.test_filename, content=code) run_code_context.output = None self.publish_message( Message( diff --git a/metagpt/roles/role.py b/metagpt/roles/role.py index 0e20e45ad..ad3c44ac1 100644 --- a/metagpt/roles/role.py +++ b/metagpt/roles/role.py @@ -36,6 +36,7 @@ from metagpt.memory import Memory from metagpt.provider import HumanProvider from metagpt.schema import Message, MessageQueue, SerializationMixin from metagpt.utils.common import any_to_name, any_to_str, role_raise_decorator +from metagpt.utils.project_repo import ProjectRepo from metagpt.utils.repair_llm_raw_output import extract_state_value_from_output PREFIX_TEMPLATE = """You are a {profile}, named {name}, your goal is {goal}. """ @@ -199,6 +200,11 @@ class Role(SerializationMixin, ContextMixin, BaseModel): def src_workspace(self, value): self.context.src_workspace = value + @property + def project_repo(self) -> ProjectRepo: + project_repo = ProjectRepo(self.context.git_repo) + return project_repo.with_src_path(self.context.src_workspace) if self.context.src_workspace else project_repo + @property def prompt_schema(self): """Prompt schema: json/markdown""" @@ -449,7 +455,7 @@ class Role(SerializationMixin, ContextMixin, BaseModel): break # act logger.debug(f"{self._setting}: {self.rc.state=}, will do {self.rc.todo}") - rsp = await self._act() # 这个rsp是否需要publish_message？ + rsp = await self._act() actions_taken += 1 return rsp # return output from the last action diff --git a/metagpt/roles/teacher.py b/metagpt/roles/teacher.py index d47f4af5b..d6715dcd1 100644 --- a/metagpt/roles/teacher.py +++ b/metagpt/roles/teacher.py @@ -31,11 +31,11 @@ class Teacher(Role): def __init__(self, **kwargs): super().__init__(**kwargs) - self.name = WriteTeachingPlanPart.format_value(self.name) - self.profile = WriteTeachingPlanPart.format_value(self.profile) - self.goal = WriteTeachingPlanPart.format_value(self.goal) - self.constraints = WriteTeachingPlanPart.format_value(self.constraints) - self.desc = WriteTeachingPlanPart.format_value(self.desc) + self.name = WriteTeachingPlanPart.format_value(self.name, self.context) + self.profile = WriteTeachingPlanPart.format_value(self.profile, self.context) + self.goal = WriteTeachingPlanPart.format_value(self.goal, self.context) + self.constraints = WriteTeachingPlanPart.format_value(self.constraints, self.context) + self.desc = WriteTeachingPlanPart.format_value(self.desc, self.context) async def _think(self) -> bool: """Everything will be done part by part.""" diff --git a/metagpt/tools/openai_text_to_embedding.py b/metagpt/tools/openai_text_to_embedding.py index 3eb9faac4..e93bfb271 100644 --- a/metagpt/tools/openai_text_to_embedding.py +++ b/metagpt/tools/openai_text_to_embedding.py @@ -13,7 +13,6 @@ import aiohttp import requests from pydantic import BaseModel, Field -from metagpt.config2 import config from metagpt.logs import logger @@ -43,12 +42,12 @@ class ResultEmbedding(BaseModel): class OpenAIText2Embedding: - def __init__(self, openai_api_key): + def __init__(self, api_key: str, proxy: str): """ :param openai_api_key: OpenAI API key, For more details, checkout: `https://platform.openai.com/account/api-keys` """ - self.openai_llm = config.get_openai_llm() - self.openai_api_key = openai_api_key or self.openai_llm.api_key + self.api_key = api_key + self.proxy = proxy async def text_2_embedding(self, text, model="text-embedding-ada-002"): """Text to embedding @@ -58,8 +57,8 @@ class OpenAIText2Embedding: :return: A json object of :class:`ResultEmbedding` class if successful, otherwise `{}`. """ - proxies = {"proxy": self.openai_llm.proxy} if self.openai_llm.proxy else {} - headers = {"Content-Type": "application/json", "Authorization": f"Bearer {self.openai_api_key}"} + proxies = {"proxy": self.proxy} if self.proxy else {} + headers = {"Content-Type": "application/json", "Authorization": f"Bearer {self.api_key}"} data = {"input": text, "model": model} url = "https://api.openai.com/v1/embeddings" try: @@ -73,16 +72,14 @@ class OpenAIText2Embedding: # Export -async def oas3_openai_text_to_embedding(text, model="text-embedding-ada-002", openai_api_key=""): +async def oas3_openai_text_to_embedding(text, openai_api_key: str, model="text-embedding-ada-002", proxy: str = ""): """Text to embedding :param text: The text used for embedding. :param model: One of ['text-embedding-ada-002'], ID of the model to use. For more details, checkout: `https://api.openai.com/v1/models`. - :param openai_api_key: OpenAI API key, For more details, checkout: `https://platform.openai.com/account/api-keys` + :param config: OpenAI config with API key, For more details, checkout: `https://platform.openai.com/account/api-keys` :return: A json object of :class:`ResultEmbedding` class if successful, otherwise `{}`. """ if not text: return "" - if not openai_api_key: - openai_api_key = config.get_openai_llm().api_key - return await OpenAIText2Embedding(openai_api_key).text_2_embedding(text, model=model) + return await OpenAIText2Embedding(api_key=openai_api_key, proxy=proxy).text_2_embedding(text, model=model) diff --git a/metagpt/tools/search_engine.py b/metagpt/tools/search_engine.py index 4111dd106..0d0db9147 100644 --- a/metagpt/tools/search_engine.py +++ b/metagpt/tools/search_engine.py @@ -44,19 +44,20 @@ class SearchEngine: self, engine: Optional[SearchEngineType] = SearchEngineType.SERPER_GOOGLE, run_func: Callable[[str, int, bool], Coroutine[None, None, Union[str, list[str]]]] = None, + **kwargs, ): if engine == SearchEngineType.SERPAPI_GOOGLE: module = "metagpt.tools.search_engine_serpapi" - run_func = importlib.import_module(module).SerpAPIWrapper().run + run_func = importlib.import_module(module).SerpAPIWrapper(**kwargs).run elif engine == SearchEngineType.SERPER_GOOGLE: module = "metagpt.tools.search_engine_serper" - run_func = importlib.import_module(module).SerperWrapper().run + run_func = importlib.import_module(module).SerperWrapper(**kwargs).run elif engine == SearchEngineType.DIRECT_GOOGLE: module = "metagpt.tools.search_engine_googleapi" - run_func = importlib.import_module(module).GoogleAPIWrapper().run + run_func = importlib.import_module(module).GoogleAPIWrapper(**kwargs).run elif engine == SearchEngineType.DUCK_DUCK_GO: module = "metagpt.tools.search_engine_ddg" - run_func = importlib.import_module(module).DDGAPIWrapper().run + run_func = importlib.import_module(module).DDGAPIWrapper(**kwargs).run elif engine == SearchEngineType.CUSTOM_ENGINE: pass # run_func = run_func else: diff --git a/metagpt/tools/web_browser_engine.py b/metagpt/tools/web_browser_engine.py index 61d29688b..411c1604b 100644 --- a/metagpt/tools/web_browser_engine.py +++ b/metagpt/tools/web_browser_engine.py @@ -13,7 +13,7 @@ from metagpt.utils.parse_html import WebPage class WebBrowserEngine: def __init__( self, - engine: WebBrowserEngineType | None = WebBrowserEngineType.PLAYWRIGHT, + engine: WebBrowserEngineType = WebBrowserEngineType.PLAYWRIGHT, run_func: Callable[..., Coroutine[Any, Any, WebPage | list[WebPage]]] | None = None, ): if engine is None: diff --git a/metagpt/tools/web_browser_engine_selenium.py b/metagpt/tools/web_browser_engine_selenium.py index 7988358ff..02dd5c173 100644 --- a/metagpt/tools/web_browser_engine_selenium.py +++ b/metagpt/tools/web_browser_engine_selenium.py @@ -33,7 +33,7 @@ class SeleniumWrapper: def __init__( self, - browser_type: Literal["chrome", "firefox", "edge", "ie"] | None = None, + browser_type: Literal["chrome", "firefox", "edge", "ie"] = "chrome", launch_kwargs: dict | None = None, *, loop: asyncio.AbstractEventLoop | None = None, diff --git a/metagpt/utils/file_repository.py b/metagpt/utils/file_repository.py index 3b5f5c5ac..85e7dc8a4 100644 --- a/metagpt/utils/file_repository.py +++ b/metagpt/utils/file_repository.py @@ -45,7 +45,7 @@ class FileRepository: # Initializing self.workdir.mkdir(parents=True, exist_ok=True) - async def save(self, filename: Path | str, content, dependencies: List[str] = None): + async def save(self, filename: Path | str, content, dependencies: List[str] = None) -> Document: """Save content to a file and update its dependencies. :param filename: The filename or path within the repository. @@ -63,6 +63,8 @@ class FileRepository: await dependency_file.update(pathname, set(dependencies)) logger.info(f"update dependency: {str(pathname)}:{dependencies}") + return Document(root_path=str(self._relative_path), filename=filename, content=content) + async def get_dependency(self, filename: Path | str) -> Set[str]: """Get the dependencies of a file. @@ -181,10 +183,20 @@ class FileRepository: """ current_time = datetime.now().strftime("%Y%m%d%H%M%S") return current_time - # guid_suffix = str(uuid.uuid4())[:8] - # return f"{current_time}x{guid_suffix}" - async def save_doc(self, doc: Document, with_suffix: str = None, dependencies: List[str] = None): + async def save_doc(self, doc: Document, dependencies: List[str] = None): + """Save content to a file and update its dependencies. + + :param doc: The Document instance to be saved. + :type doc: Document + :param dependencies: A list of dependencies for the saved file. + :type dependencies: List[str], optional + """ + + await self.save(filename=doc.filename, content=doc.content, dependencies=dependencies) + logger.debug(f"File Saved: {str(doc.filename)}") + + async def save_pdf(self, doc: Document, with_suffix: str = ".md", dependencies: List[str] = None): """Save a Document instance as a PDF file. This method converts the content of the Document instance to Markdown, @@ -202,68 +214,6 @@ class FileRepository: await self.save(filename=str(filename), content=json_to_markdown(m), dependencies=dependencies) logger.debug(f"File Saved: {str(filename)}") - async def get_file(self, filename: Path | str, relative_path: Path | str = ".") -> Document | None: - """Retrieve a specific file from the file repository. - - :param filename: The name or path of the file to retrieve. - :type filename: Path or str - :param relative_path: The relative path within the file repository. - :type relative_path: Path or str, optional - :return: The document representing the file, or None if not found. - :rtype: Document or None - """ - file_repo = self._git_repo.new_file_repository(relative_path=relative_path) - return await file_repo.get(filename=filename) - - async def get_all_files(self, relative_path: Path | str = ".") -> List[Document]: - """Retrieve all files from the file repository. - - :param relative_path: The relative path within the file repository. - :type relative_path: Path or str, optional - :return: A list of documents representing all files in the repository. - :rtype: List[Document] - """ - file_repo = self._git_repo.new_file_repository(relative_path=relative_path) - return await file_repo.get_all() - - async def save_file( - self, filename: Path | str, content, dependencies: List[str] = None, relative_path: Path | str = "." - ): - """Save a file to the file repository. - - :param filename: The name or path of the file to save. - :type filename: Path or str - :param content: The content of the file. - :param dependencies: A list of dependencies for the file. - :type dependencies: List[str], optional - :param relative_path: The relative path within the file repository. - :type relative_path: Path or str, optional - """ - file_repo = self._git_repo.new_file_repository(relative_path=relative_path) - return await file_repo.save(filename=filename, content=content, dependencies=dependencies) - - async def save_as( - self, doc: Document, with_suffix: str = None, dependencies: List[str] = None, relative_path: Path | str = "." - ): - """Save a Document instance with optional modifications. - - This static method creates a new FileRepository, saves the Document instance - with optional modifications (such as a suffix), and logs the saved file. - - :param doc: The Document instance to be saved. - :type doc: Document - :param with_suffix: An optional suffix to append to the saved file's name. - :type with_suffix: str, optional - :param dependencies: A list of dependencies for the saved file. - :type dependencies: List[str], optional - :param relative_path: The relative path within the file repository. - :type relative_path: Path or str, optional - :return: A boolean indicating whether the save operation was successful. - :rtype: bool - """ - file_repo = self._git_repo.new_file_repository(relative_path=relative_path) - return await file_repo.save_doc(doc=doc, with_suffix=with_suffix, dependencies=dependencies) - async def delete(self, filename: Path | str): """Delete a file from the file repository. @@ -280,7 +230,3 @@ class FileRepository: dependency_file = await self._git_repo.get_dependency() await dependency_file.update(filename=pathname, dependencies=None) logger.info(f"remove dependency key: {str(pathname)}") - - async def delete_file(self, filename: Path | str, relative_path: Path | str = "."): - file_repo = self._git_repo.new_file_repository(relative_path=relative_path) - await file_repo.delete(filename=filename) diff --git a/metagpt/utils/git_repository.py b/metagpt/utils/git_repository.py index e9855df05..61e5f3251 100644 --- a/metagpt/utils/git_repository.py +++ b/metagpt/utils/git_repository.py @@ -107,7 +107,10 @@ class GitRepository: def delete_repository(self): """Delete the entire repository directory.""" if self.is_valid: - shutil.rmtree(self._repository.working_dir) + try: + shutil.rmtree(self._repository.working_dir) + except Exception as e: + logger.exception(f"Failed delete git repo:{self.workdir}, error:{e}") @property def changed_files(self) -> Dict[str, str]: @@ -199,10 +202,17 @@ class GitRepository: if new_path.exists(): logger.info(f"Delete directory {str(new_path)}") shutil.rmtree(new_path) + if new_path.exists(): # Recheck for windows os + logger.warning(f"Failed to delete directory {str(new_path)}") + return try: shutil.move(src=str(self.workdir), dst=str(new_path)) except Exception as e: logger.warning(f"Move {str(self.workdir)} to {str(new_path)} error: {e}") + finally: + if not new_path.exists(): # Recheck for windows os + logger.warning(f"Failed to move {str(self.workdir)} to {str(new_path)}") + return logger.info(f"Rename directory {str(self.workdir)} to {str(new_path)}") self._repository = Repo(new_path) self._gitignore_rules = parse_gitignore(full_path=str(new_path / ".gitignore")) diff --git a/metagpt/utils/project_repo.py b/metagpt/utils/project_repo.py new file mode 100644 index 000000000..dd54cb56b --- /dev/null +++ b/metagpt/utils/project_repo.py @@ -0,0 +1,119 @@ +#!/usr/bin/env python +# -*- coding: utf-8 -*- +""" +@Time : 2024/1/8 +@Author : mashenquan +@File : project_repo.py +@Desc : Wrapper for GitRepository and FileRepository of project. + Implementation of Chapter 4.6 of https://deepwisdom.feishu.cn/wiki/CUK4wImd7id9WlkQBNscIe9cnqh +""" +from __future__ import annotations + +from pathlib import Path + +from metagpt.const import ( + CLASS_VIEW_FILE_REPO, + CODE_SUMMARIES_FILE_REPO, + CODE_SUMMARIES_PDF_FILE_REPO, + COMPETITIVE_ANALYSIS_FILE_REPO, + DATA_API_DESIGN_FILE_REPO, + DOCS_FILE_REPO, + GRAPH_REPO_FILE_REPO, + PRD_PDF_FILE_REPO, + PRDS_FILE_REPO, + RESOURCES_FILE_REPO, + SD_OUTPUT_FILE_REPO, + SEQ_FLOW_FILE_REPO, + SYSTEM_DESIGN_FILE_REPO, + SYSTEM_DESIGN_PDF_FILE_REPO, + TASK_FILE_REPO, + TASK_PDF_FILE_REPO, + TEST_CODES_FILE_REPO, + TEST_OUTPUTS_FILE_REPO, +) +from metagpt.utils.file_repository import FileRepository +from metagpt.utils.git_repository import GitRepository + + +class DocFileRepositories(FileRepository): + prd: FileRepository + system_design: FileRepository + task: FileRepository + code_summary: FileRepository + graph_repo: FileRepository + class_view: FileRepository + + def __init__(self, git_repo): + super().__init__(git_repo=git_repo, relative_path=DOCS_FILE_REPO) + + self.prd = git_repo.new_file_repository(relative_path=PRDS_FILE_REPO) + self.system_design = git_repo.new_file_repository(relative_path=SYSTEM_DESIGN_FILE_REPO) + self.task = git_repo.new_file_repository(relative_path=TASK_FILE_REPO) + self.code_summary = git_repo.new_file_repository(relative_path=CODE_SUMMARIES_FILE_REPO) + self.graph_repo = git_repo.new_file_repository(relative_path=GRAPH_REPO_FILE_REPO) + self.class_view = git_repo.new_file_repository(relative_path=CLASS_VIEW_FILE_REPO) + + +class ResourceFileRepositories(FileRepository): + competitive_analysis: FileRepository + data_api_design: FileRepository + seq_flow: FileRepository + system_design: FileRepository + prd: FileRepository + api_spec_and_task: FileRepository + code_summary: FileRepository + sd_output: FileRepository + + def __init__(self, git_repo): + super().__init__(git_repo=git_repo, relative_path=RESOURCES_FILE_REPO) + + self.competitive_analysis = git_repo.new_file_repository(relative_path=COMPETITIVE_ANALYSIS_FILE_REPO) + self.data_api_design = git_repo.new_file_repository(relative_path=DATA_API_DESIGN_FILE_REPO) + self.seq_flow = git_repo.new_file_repository(relative_path=SEQ_FLOW_FILE_REPO) + self.system_design = git_repo.new_file_repository(relative_path=SYSTEM_DESIGN_PDF_FILE_REPO) + self.prd = git_repo.new_file_repository(relative_path=PRD_PDF_FILE_REPO) + self.api_spec_and_task = git_repo.new_file_repository(relative_path=TASK_PDF_FILE_REPO) + self.code_summary = git_repo.new_file_repository(relative_path=CODE_SUMMARIES_PDF_FILE_REPO) + self.sd_output = git_repo.new_file_repository(relative_path=SD_OUTPUT_FILE_REPO) + + +class ProjectRepo(FileRepository): + def __init__(self, root: str | Path | GitRepository): + if isinstance(root, str) or isinstance(root, Path): + git_repo_ = GitRepository(local_path=Path(root)) + elif isinstance(root, GitRepository): + git_repo_ = root + else: + raise ValueError("Invalid root") + super().__init__(git_repo=git_repo_, relative_path=Path(".")) + self._git_repo = git_repo_ + self.docs = DocFileRepositories(self._git_repo) + self.resources = ResourceFileRepositories(self._git_repo) + self.tests = self._git_repo.new_file_repository(relative_path=TEST_CODES_FILE_REPO) + self.test_outputs = self._git_repo.new_file_repository(relative_path=TEST_OUTPUTS_FILE_REPO) + self._srcs_path = None + + @property + def git_repo(self) -> GitRepository: + return self._git_repo + + @property + def workdir(self) -> Path: + return Path(self.git_repo.workdir) + + @property + def srcs(self) -> FileRepository: + if not self._srcs_path: + raise ValueError("Call with_srcs first.") + return self._git_repo.new_file_repository(self._srcs_path) + + def with_src_path(self, path: str | Path) -> ProjectRepo: + try: + self._srcs_path = Path(path).relative_to(self.workdir) + except ValueError: + self._srcs_path = Path(path) + return self + + @property + def src_relative_path(self) -> Path | None: + return self._srcs_path diff --git a/metagpt/utils/yaml_model.py b/metagpt/utils/yaml_model.py index 60f866f7e..8f2d22c3d 100644 --- a/metagpt/utils/yaml_model.py +++ b/metagpt/utils/yaml_model.py @@ -13,28 +13,36 @@ from pydantic import BaseModel, model_validator class YamlModel(BaseModel): + """Base class for yaml model""" + extra_fields: Optional[Dict[str, str]] = None @classmethod - def read_yaml(cls, file_path: Path) -> Dict: + def read_yaml(cls, file_path: Path, encoding: str = "utf-8") -> Dict: + """Read yaml file and return a dict""" if not file_path.exists(): return {} - with open(file_path, "r") as file: + with open(file_path, "r", encoding=encoding) as file: return yaml.safe_load(file) @classmethod - def model_validate_yaml(cls, file_path: Path) -> "YamlModel": + def from_yaml_file(cls, file_path: Path) -> "YamlModel": + """Read yaml file and return a YamlModel instance""" return cls(**cls.read_yaml(file_path)) - def model_dump_yaml(self, file_path: Path) -> None: - with open(file_path, "w") as file: + def to_yaml_file(self, file_path: Path, encoding: str = "utf-8") -> None: + """Dump YamlModel instance to yaml file""" + with open(file_path, "w", encoding=encoding) as file: yaml.dump(self.model_dump(), file) class YamlModelWithoutDefault(YamlModel): + """YamlModel without default values""" + @model_validator(mode="before") @classmethod def check_not_default_config(cls, values): + """Check if there is any default config in config.yaml""" if any(["YOUR" in v for v in values]): raise ValueError("Please set your config in config.yaml") return values diff --git a/tests/conftest.py b/tests/conftest.py index 34429417b..42b460357 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -12,6 +12,7 @@ import logging import os import re import uuid +from typing import Callable import pytest @@ -20,6 +21,9 @@ from metagpt.context import CONTEXT from metagpt.llm import LLM from metagpt.logs import logger from metagpt.utils.git_repository import GitRepository +from tests.mock.mock_aiohttp import MockAioResponse +from tests.mock.mock_curl_cffi import MockCurlCffiResponse +from tests.mock.mock_httplib2 import MockHttplib2Response from tests.mock.mock_llm import MockLLM RSP_CACHE_NEW = {} # used globally for producing new and useful only response cache @@ -123,7 +127,7 @@ def proxy(): server = await asyncio.start_server(handle_client, "127.0.0.1", 0) return server, "http://{}:{}".format(*server.sockets[0].getsockname()) - return proxy_func() + return proxy_func # see https://github.com/Delgan/loguru/issues/59#issuecomment-466591978 @@ -164,39 +168,63 @@ def new_filename(mocker): yield mocker +@pytest.fixture(scope="session") +def search_rsp_cache(): + rsp_cache_file_path = TEST_DATA_PATH / "search_rsp_cache.json" # read repo-provided + if os.path.exists(rsp_cache_file_path): + with open(rsp_cache_file_path, "r") 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: + json.dump(rsp_cache_json, f2, indent=4, ensure_ascii=False) + + @pytest.fixture def aiohttp_mocker(mocker): - class MockAioResponse: - async def json(self, *args, **kwargs): - return self._json - - def set_json(self, json): - self._json = json - - response = MockAioResponse() - - class MockCTXMng: - async def __aenter__(self): - return response - - async def __aexit__(self, *args, **kwargs): - pass - - def __await__(self): - yield - return response - - def mock_request(self, method, url, **kwargs): - return MockCTXMng() + MockResponse = type("MockResponse", (MockAioResponse,), {}) def wrap(method): def run(self, url, **kwargs): - return mock_request(self, method, url, **kwargs) + return MockResponse(self, method, url, **kwargs) return run - mocker.patch("aiohttp.ClientSession.request", mock_request) + mocker.patch("aiohttp.ClientSession.request", MockResponse) for i in ["get", "post", "delete", "patch"]: mocker.patch(f"aiohttp.ClientSession.{i}", wrap(i)) + yield MockResponse - yield response + +@pytest.fixture +def curl_cffi_mocker(mocker): + MockResponse = type("MockResponse", (MockCurlCffiResponse,), {}) + + def request(self, *args, **kwargs): + return MockResponse(self, *args, **kwargs) + + mocker.patch("curl_cffi.requests.Session.request", request) + yield MockResponse + + +@pytest.fixture +def httplib2_mocker(mocker): + MockResponse = type("MockResponse", (MockHttplib2Response,), {}) + + def request(self, *args, **kwargs): + return MockResponse(self, *args, **kwargs) + + mocker.patch("httplib2.Http.request", request) + yield MockResponse + + +@pytest.fixture +def search_engine_mocker(aiohttp_mocker, curl_cffi_mocker, httplib2_mocker, search_rsp_cache): + # aiohttp_mocker: serpapi/serper + # httplib2_mocker: google + # curl_cffi_mocker: ddg + check_funcs: dict[tuple[str, str], Callable[[dict], str]] = {} + aiohttp_mocker.rsp_cache = httplib2_mocker.rsp_cache = curl_cffi_mocker.rsp_cache = search_rsp_cache + aiohttp_mocker.check_funcs = httplib2_mocker.check_funcs = curl_cffi_mocker.check_funcs = check_funcs + yield check_funcs diff --git a/tests/data/demo_project/dependencies.json b/tests/data/demo_project/dependencies.json index cfcf6c165..738e5d9be 100644 --- a/tests/data/demo_project/dependencies.json +++ b/tests/data/demo_project/dependencies.json @@ -1 +1 @@ -{"docs/system_design/20231221155954.json": ["docs/prds/20231221155954.json"], "docs/tasks/20231221155954.json": ["docs/system_design/20231221155954.json"], "game_2048/game.py": ["docs/tasks/20231221155954.json", "docs/system_design/20231221155954.json"], "game_2048/main.py": ["docs/tasks/20231221155954.json", "docs/system_design/20231221155954.json"], "resources/code_summaries/20231221155954.md": ["docs/tasks/20231221155954.json", "game_2048/game.py", "docs/system_design/20231221155954.json", "game_2048/main.py"], "docs/code_summaries/20231221155954.json": ["docs/tasks/20231221155954.json", "game_2048/game.py", "docs/system_design/20231221155954.json", "game_2048/main.py"], "tests/test_main.py": ["game_2048/main.py"], "tests/test_game.py": ["game_2048/game.py"], "test_outputs/test_main.py.json": ["game_2048/main.py", "tests/test_main.py"], "test_outputs/test_game.py.json": ["game_2048/game.py", "tests/test_game.py"]} \ No newline at end of file +{"docs/system_design/20231221155954.json": ["docs/prd/20231221155954.json"], "docs/task/20231221155954.json": ["docs/system_design/20231221155954.json"], "game_2048/game.py": ["docs/task/20231221155954.json", "docs/system_design/20231221155954.json"], "game_2048/main.py": ["docs/task/20231221155954.json", "docs/system_design/20231221155954.json"], "resources/code_summary/20231221155954.md": ["docs/task/20231221155954.json", "game_2048/game.py", "docs/system_design/20231221155954.json", "game_2048/main.py"], "docs/code_summary/20231221155954.json": ["docs/task/20231221155954.json", "game_2048/game.py", "docs/system_design/20231221155954.json", "game_2048/main.py"], "tests/test_main.py": ["game_2048/main.py"], "tests/test_game.py": ["game_2048/game.py"], "test_outputs/test_main.py.json": ["game_2048/main.py", "tests/test_main.py"], "test_outputs/test_game.py.json": ["game_2048/game.py", "tests/test_game.py"]} \ No newline at end of file diff --git a/tests/data/openai/embedding.json b/tests/data/openai/embedding.json new file mode 100644 index 000000000..249c78ecf --- /dev/null +++ b/tests/data/openai/embedding.json @@ -0,0 +1 @@ +{"object": "list", "data": [{"object": "embedding", "index": 0, "embedding": [-0.01999368, -0.02016083, 0.013037679, -0.011751912, -0.02810687, 0.0056188027, 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0.0085503515, -0.01513348, -0.010144703, -0.058888137, -0.031141281, 0.0239667, 0.023259528, -0.008537494, 0.005397008, 0.0045355437, 0.015082049, -0.029418353, 0.016856408, -0.0056927344, -0.015827794, -0.012966962, -0.004468041, 0.038007278, -0.022873798, -0.009116089, 0.005233072, -0.013731994, 0.0239667, -0.025831062, -0.0012889816, 0.0011113851, -0.009681826, -0.0065477695, 0.0015903333, -0.04585046, 0.014734892, 0.0066538453, 0.010607579, -0.0043748226, 0.0013404123, 0.008293198, -0.021279447, -0.022449495, -0.010652581, -0.023825265, -0.006859568, 0.020585133, -0.030035522, 0.012156929, -0.00090244785, -0.0010896877, -0.021498026, -0.010646152, -0.005898457, -0.0038476584, 0.017306427, 0.00065453583, -0.031681303, -0.018913636, -0.024095276, -0.03155273, 0.023555255, 0.025561051, -0.021125155, 0.014477738, 0.021793753, 0.018836489, 0.005840597, 0.012555516, -0.00025313543, -0.023696689, 0.019633666, 0.013359121, 0.018990781, -0.026769673, 0.003452285, 0.012465512, 0.0035326453, -0.0028511886, 0.025329614, -0.016496394, 0.009861834, -0.010999738, -0.008537494, -0.008736788, -0.01236908, 0.018707912, -0.006512411, -0.00576988, -0.02700111, 0.002184197, 0.0014633638, 0.024095276, 0.01717785, 0.011546189, -0.018309325, -0.009598252, -0.016316386, -0.0052427156, 0.018759344, 0.00472198, -0.018849347, -0.014053435, -0.0061266804, 0.0035326453, -0.0066152723, 0.0032176324, 0.0042494605, 6.438881e-05, -0.018322183, -0.07154009, 0.021960903, -0.0071488656, -0.026923966, 0.015660644, -0.0101125585, 0.008813934, -0.026641095, 0.012876959, -0.011790485, -0.006885283, 0.016136378, -0.0010792408, 0.012221217, -0.004378037, -0.00635169, 0.035307165, -0.0033815678, 0.00850535, 0.010549719, 0.0059788176, 0.0037705123, 0.020289406, -0.014812038, 0.019312223, -0.0035776473, -0.012439798, 0.019800814, -0.033275656, 0.0011571904, -0.0046962644, -0.037827272, 1.2041511e-05, 0.023053806, -0.0024799234, -0.033661384, 0.012407653, 0.009855405, 0.013307691, 0.0065895566, -0.01694641, -0.033095647, 0.01888792, -0.029701222, -0.019852245, -0.0050466363, -0.017306427, 0.011835487, 0.022012334, -0.0020925861, 0.01690784, 0.027309695, -0.02302809, -0.00051189604, 0.019967964, -0.055905156, 0.028646892, 0.028955476, 0.0015509566, -7.850211e-05, 0.023696689, 0.010929021, 0.012613376, -0.017692156, -0.00037447968, 0.009983982, -0.011141173, -0.008801077, 0.0015887261, -0.03440713, -0.009386101, 0.0063806195, 0.002992623, 0.009701113, 0.0066859894, 0.0031019133, -0.0063034734, 0.008498921, -0.026242508, 0.023606686, 0.013513413, 0.0017454289, -0.008376773, -0.00201544, 0.048164837, 0.0074188765, -0.0010181669, -0.017190708, 0.008029616, 0.029572645, -0.025008172, -0.005091638, -0.024866737, 0.007271013, -0.002328846, 0.0062713292, -0.016894981, 7.393161e-05, 0.022732364, 0.012375509, 0.0014272016, 1.2298916e-05, -0.0191065, -0.016637828, -0.01452917, -0.012137642, -0.02307952, -0.0001341015, 0.004043738, 0.024545295, 0.014516312, -0.01766644, -0.020893717, 0.009263952, 0.008563209, 0.0018948994, -0.013500555, -0.0034780002, -0.015814936, 0.044204675, 0.008093905, 0.007367446, 0.011366182, 0.004853771, 0.0030826267, -0.0080231875, -0.006621701, -0.03985878, 0.007791749, -0.00018603443, -0.0026872533, -0.016419247, -0.008408917, -0.027489703, -0.024545295, 0.0034490705, -0.020456556, 0.010427572, 0.01578922, 0.04991348, -0.0014159511, -0.005191285, 0.021253731, 0.00052837, 0.03108985, 0.0034940722, 0.0030553043, 0.0004680996, -0.009630396, 0.0140148625, -0.031115565, -0.013976289, -0.007766034, -0.021742323, -0.0062552574, -0.017164992, 0.013513413, -0.025535336, -0.006444908, 0.027412556, 0.0075345957, 0.01264552, -0.0009112875, -0.029315492, -0.021215158, 0.028801184, -0.0032497765, -0.020687994, -0.03129557, 0.0037962275, -0.001365324, -0.02805544, -0.005638089, 0.02689825, -0.007695317, -0.0027724355, -0.00074895937, -0.0056798765, 0.0045580445, -0.008325342, -0.008858936, -0.0070717195, -0.020276548, 0.03600148, -0.0047123367, -0.016599255, 0.01573779, -0.028595462]}], "model": "text-embedding-ada-002-v2", "usage": {"prompt_tokens": 3, "total_tokens": 3}} \ No newline at end of file diff --git a/tests/data/rsp_cache.json b/tests/data/rsp_cache.json index 456a4146e..df5300feb 100644 --- a/tests/data/rsp_cache.json +++ b/tests/data/rsp_cache.json @@ -192,5 +192,10 @@ "\n## context\n\n### Project Name\n20240111181426\n\n### Original Requirements\n['']\n\n### Search Information\n-\n\n\n-----\n\n## format example\n[CONTENT]\n{\n \"Language\": \"en_us\",\n \"Programming Language\": \"Python\",\n \"Original Requirements\": \"Create a 2048 game\",\n \"Product Goals\": [\n \"Create an engaging user experience\",\n \"Improve accessibility, be responsive\",\n \"More beautiful UI\"\n ],\n \"User Stories\": [\n \"As a player, I want to be able to choose difficulty levels\",\n \"As a player, I want to see my score after each game\",\n \"As a player, I want to get restart button when I lose\",\n \"As a player, I want to see beautiful UI that make me feel good\",\n \"As a player, I want to play game via mobile phone\"\n ],\n \"Competitive Analysis\": [\n \"2048 Game A: Simple interface, lacks responsive features\",\n \"play2048.co: Beautiful and responsive UI with my best score shown\",\n \"2048game.com: Responsive UI with my best score shown, but many ads\"\n ],\n \"Competitive Quadrant Chart\": \"quadrantChart\\n title \\\"Reach and engagement of campaigns\\\"\\n x-axis \\\"Low Reach\\\" --> \\\"High Reach\\\"\\n y-axis \\\"Low Engagement\\\" --> \\\"High Engagement\\\"\\n quadrant-1 \\\"We should expand\\\"\\n quadrant-2 \\\"Need to promote\\\"\\n quadrant-3 \\\"Re-evaluate\\\"\\n quadrant-4 \\\"May be improved\\\"\\n \\\"Campaign A\\\": [0.3, 0.6]\\n \\\"Campaign B\\\": [0.45, 0.23]\\n \\\"Campaign C\\\": [0.57, 0.69]\\n \\\"Campaign D\\\": [0.78, 0.34]\\n \\\"Campaign E\\\": [0.40, 0.34]\\n \\\"Campaign F\\\": [0.35, 0.78]\\n \\\"Our Target Product\\\": [0.5, 0.6]\",\n \"Requirement Analysis\": \"\",\n \"Requirement Pool\": [\n [\n \"P0\",\n \"The main code ...\"\n ],\n [\n \"P0\",\n \"The game algorithm ...\"\n ]\n ],\n \"UI Design draft\": \"Basic function description with a simple style and layout.\",\n \"Anything UNCLEAR\": \"\"\n}\n[/CONTENT]\n\n## nodes: \": # \"\n- Language: # Provide the language used in the project, typically matching the user's requirement language.\n- Programming Language: # Python/JavaScript or other mainstream programming language.\n- Original Requirements: # Place the original user's requirements here.\n- Product Goals: typing.List[str] # Provide up to three clear, orthogonal product goals.\n- User Stories: typing.List[str] # Provide up to 3 to 5 scenario-based user stories.\n- Competitive Analysis: typing.List[str] # Provide 5 to 7 competitive products.\n- Competitive Quadrant Chart: # Use mermaid quadrantChart syntax. Distribute scores evenly between 0 and 1\n- Requirement Analysis: # Provide a detailed analysis of the requirements.\n- Requirement Pool: typing.List[typing.List[str]] # List down the top-5 requirements with their priority (P0, P1, P2).\n- UI Design draft: # Provide a simple description of UI elements, functions, style, and layout.\n- Anything UNCLEAR: # Mention any aspects of the project that are unclear and try to clarify them.\n\n\n## constraint\nLanguage: Please use the same language as Human INPUT.\nFormat: output wrapped inside [CONTENT][/CONTENT] like format example, nothing else.\n\n## action\nFollow instructions of nodes, generate output and make sure it follows the format example.\n": "[CONTENT]\n{\n \"Language\": \"en_us\",\n \"Programming Language\": \"Python\",\n \"Original Requirements\": \"\",\n \"Product Goals\": [],\n \"User Stories\": [],\n \"Competitive Analysis\": [],\n \"Competitive Quadrant Chart\": \"quadrantChart\\n title \\\"Reach and engagement of campaigns\\\"\\n x-axis \\\"Low Reach\\\" --> \\\"High Reach\\\"\\n y-axis \\\"Low Engagement\\\" --> \\\"High Engagement\\\"\\n quadrant-1 \\\"We should expand\\\"\\n quadrant-2 \\\"Need to promote\\\"\\n quadrant-3 \\\"Re-evaluate\\\"\\n quadrant-4 \\\"May be improved\\\"\\n \\\"Campaign A\\\": [0.3, 0.6]\\n \\\"Campaign B\\\": [0.45, 0.23]\\n \\\"Campaign C\\\": [0.57, 0.69]\\n \\\"Campaign D\\\": [0.78, 0.34]\\n \\\"Campaign E\\\": [0.40, 0.34]\\n \\\"Campaign F\\\": [0.35, 0.78]\\n \\\"Our Target Product\\\": [0.5, 0.6]\",\n \"Requirement Analysis\": \"\",\n \"Requirement Pool\": [],\n \"UI Design draft\": \"Basic function description with a simple style and layout.\",\n \"Anything UNCLEAR\": \"\"\n}\n[/CONTENT]", "## History Messages\n0: Human: Topic: climate change. Under 80 words per message.\n\n## Actions\nLanguage: Please use the same language as Human INPUT.\nSay your opinion with emotion and don't repeat it": "I believe that climate change is a critical issue that requires urgent action. It's alarming to see the impact of human activities on the environment and the devastating consequences it has on ecosystems and communities. We need to prioritize sustainable practices and reduce our carbon footprint to mitigate the effects of climate change. It's essential for the well-being of future generations and the health of our planet.", "## History Messages\n0: Alex(Democratic candidate): I believe that climate change is a critical issue that requires urgent action. It's alarming to see the impact of human activities on the environment and the devastating consequences it has on ecosystems and communities. We need to prioritize sustainable practices and reduce our carbon footprint to mitigate the effects of climate change. It's essential for the well-being of future generations and the health of our planet.\n\n## Actions\nLanguage: Please use the same language as Human INPUT.\nSay your opinion with emotion and don't repeat it": "I completely agree with Alex. Climate change is a critical issue that demands immediate attention. The impact of human activities on the environment is devastating, and urgent action is necessary to prioritize sustainable practices and reduce our carbon footprint. It's essential for the well-being of future generations and the health of our planet.", - "## History Messages\n0: Bob(Republican candidate): I completely agree with Alex. Climate change is a critical issue that demands immediate attention. The impact of human activities on the environment is devastating, and urgent action is necessary to prioritize sustainable practices and reduce our carbon footprint. It's essential for the well-being of future generations and the health of our planet.\n1: Alex(Democratic candidate): I believe that climate change is a critical issue that requires urgent action. It's alarming to see the impact of human activities on the environment and the devastating consequences it has on ecosystems and communities. We need to prioritize sustainable practices and reduce our carbon footprint to mitigate the effects of climate change. It's essential for the well-being of future generations and the health of our planet.\n2: Human: Topic: climate change. Under 80 words per message.\n\n## Actions\nLanguage: Please use the same language as Human INPUT.\nSay your opinion with emotion and don't repeat it": "I completely agree with both Bob and Alex. Climate change is a critical issue that demands immediate attention. The impact of human activities on the environment is devastating, and urgent action is necessary to prioritize sustainable practices and reduce our carbon footprint. It's essential for the well-being of future generations and the health of our planet." + "## History Messages\n0: Bob(Republican candidate): I completely agree with Alex. Climate change is a critical issue that demands immediate attention. The impact of human activities on the environment is devastating, and urgent action is necessary to prioritize sustainable practices and reduce our carbon footprint. It's essential for the well-being of future generations and the health of our planet.\n1: Alex(Democratic candidate): I believe that climate change is a critical issue that requires urgent action. It's alarming to see the impact of human activities on the environment and the devastating consequences it has on ecosystems and communities. We need to prioritize sustainable practices and reduce our carbon footprint to mitigate the effects of climate change. It's essential for the well-being of future generations and the health of our planet.\n2: Human: Topic: climate change. Under 80 words per message.\n\n## Actions\nLanguage: Please use the same language as Human INPUT.\nSay your opinion with emotion and don't repeat it": "I completely agree with both Bob and Alex. Climate change is a critical issue that demands immediate attention. The impact of human activities on the environment is devastating, and urgent action is necessary to prioritize sustainable practices and reduce our carbon footprint. It's essential for the well-being of future generations and the health of our planet.", + "\n## context\n\n### Project Name\n20240112110621\n\n### Original Requirements\n['需要一个基于LLM做总结的搜索引擎']\n\n### Search Information\n-\n\n\n-----\n\n## format example\n[CONTENT]\n{\n \"Language\": \"en_us\",\n \"Programming Language\": \"Python\",\n \"Original Requirements\": \"Create a 2048 game\",\n \"Product Goals\": [\n \"Create an engaging user experience\",\n \"Improve accessibility, be responsive\",\n \"More beautiful UI\"\n ],\n \"User Stories\": [\n \"As a player, I want to be able to choose difficulty levels\",\n \"As a player, I want to see my score after each game\",\n \"As a player, I want to get restart button when I lose\",\n \"As a player, I want to see beautiful UI that make me feel good\",\n \"As a player, I want to play game via mobile phone\"\n ],\n \"Competitive Analysis\": [\n \"2048 Game A: Simple interface, lacks responsive features\",\n \"play2048.co: Beautiful and responsive UI with my best score shown\",\n \"2048game.com: Responsive UI with my best score shown, but many ads\"\n ],\n \"Competitive Quadrant Chart\": \"quadrantChart\\n title \\\"Reach and engagement of campaigns\\\"\\n x-axis \\\"Low Reach\\\" --> \\\"High Reach\\\"\\n y-axis \\\"Low Engagement\\\" --> \\\"High Engagement\\\"\\n quadrant-1 \\\"We should expand\\\"\\n quadrant-2 \\\"Need to promote\\\"\\n quadrant-3 \\\"Re-evaluate\\\"\\n quadrant-4 \\\"May be improved\\\"\\n \\\"Campaign A\\\": [0.3, 0.6]\\n \\\"Campaign B\\\": [0.45, 0.23]\\n \\\"Campaign C\\\": [0.57, 0.69]\\n \\\"Campaign D\\\": [0.78, 0.34]\\n \\\"Campaign E\\\": [0.40, 0.34]\\n \\\"Campaign F\\\": [0.35, 0.78]\\n \\\"Our Target Product\\\": [0.5, 0.6]\",\n \"Requirement Analysis\": \"\",\n \"Requirement Pool\": [\n [\n \"P0\",\n \"The main code ...\"\n ],\n [\n \"P0\",\n \"The game algorithm ...\"\n ]\n ],\n \"UI Design draft\": \"Basic function description with a simple style and layout.\",\n \"Anything UNCLEAR\": \"\"\n}\n[/CONTENT]\n\n## nodes: \": # \"\n- Language: # Provide the language used in the project, typically matching the user's requirement language.\n- Programming Language: # Python/JavaScript or other mainstream programming language.\n- Original Requirements: # Place the original user's requirements here.\n- Product Goals: typing.List[str] # Provide up to three clear, orthogonal product goals.\n- User Stories: typing.List[str] # Provide up to 3 to 5 scenario-based user stories.\n- Competitive Analysis: typing.List[str] # Provide 5 to 7 competitive products.\n- Competitive Quadrant Chart: # Use mermaid quadrantChart syntax. Distribute scores evenly between 0 and 1\n- Requirement Analysis: # Provide a detailed analysis of the requirements.\n- Requirement Pool: typing.List[typing.List[str]] # List down the top-5 requirements with their priority (P0, P1, P2).\n- UI Design draft: # Provide a simple description of UI elements, functions, style, and layout.\n- Anything UNCLEAR: # Mention any aspects of the project that are unclear and try to clarify them.\n\n\n## constraint\nLanguage: Please use the same language as Human INPUT.\nFormat: output wrapped inside [CONTENT][/CONTENT] like format example, nothing else.\n\n## action\nFollow instructions of nodes, generate output and make sure it follows the format example.\n": "[CONTENT]\n{\n \"Language\": \"zh_cn\",\n \"Programming Language\": \"LLM\",\n \"Original Requirements\": \"需要一个基于LLM做总结的搜索引擎\",\n \"Product Goals\": [],\n \"User Stories\": [],\n \"Competitive Analysis\": [],\n \"Competitive Quadrant Chart\": \"\",\n \"Requirement Analysis\": \"\",\n \"Requirement Pool\": [],\n \"UI Design draft\": \"\",\n \"Anything UNCLEAR\": \"\"\n}\n[/CONTENT]", + "You are a python code to Mermaid Sequence Diagram translator in function detail#SYSTEM_MSG_END#```python\n#!/usr/bin/env python\n# -*- coding: utf-8 -*-\nimport asyncio\nimport shutil\nfrom pathlib import Path\n\nimport typer\n\nfrom metagpt.config2 import config\nfrom metagpt.const import CONFIG_ROOT, METAGPT_ROOT\n\napp = typer.Typer(add_completion=False, pretty_exceptions_show_locals=False)\n\n\ndef generate_repo(\n idea,\n investment,\n n_round,\n code_review,\n run_tests,\n implement,\n project_name,\n inc,\n project_path,\n reqa_file,\n max_auto_summarize_code,\n recover_path,\n):\n \"\"\"Run the startup logic. Can be called from CLI or other Python scripts.\"\"\"\n from metagpt.roles import (\n Architect,\n Engineer,\n ProductManager,\n ProjectManager,\n QaEngineer,\n )\n from metagpt.team import Team\n\n config.update_via_cli(project_path, project_name, inc, reqa_file, max_auto_summarize_code)\n\n if not recover_path:\n company = Team()\n company.hire(\n [\n ProductManager(),\n Architect(),\n ProjectManager(),\n ]\n )\n\n if implement or code_review:\n company.hire([Engineer(n_borg=5, use_code_review=code_review)])\n\n if run_tests:\n company.hire([QaEngineer()])\n else:\n stg_path = Path(recover_path)\n if not stg_path.exists() or not str(stg_path).endswith(\"team\"):\n raise FileNotFoundError(f\"{recover_path} not exists or not endswith `team`\")\n\n company = Team.deserialize(stg_path=stg_path)\n idea = company.idea\n\n company.invest(investment)\n company.run_project(idea)\n asyncio.run(company.run(n_round=n_round))\n\n\n@app.command(\"\", help=\"Start a new project.\")\ndef startup(\n idea: str = typer.Argument(None, help=\"Your innovative idea, such as 'Create a 2048 game.'\"),\n investment: float = typer.Option(default=3.0, help=\"Dollar amount to invest in the AI company.\"),\n n_round: int = typer.Option(default=5, help=\"Number of rounds for the simulation.\"),\n code_review: bool = typer.Option(default=True, help=\"Whether to use code review.\"),\n run_tests: bool = typer.Option(default=False, help=\"Whether to enable QA for adding & running tests.\"),\n implement: bool = typer.Option(default=True, help=\"Enable or disable code implementation.\"),\n project_name: str = typer.Option(default=\"\", help=\"Unique project name, such as 'game_2048'.\"),\n inc: bool = typer.Option(default=False, help=\"Incremental mode. Use it to coop with existing repo.\"),\n project_path: str = typer.Option(\n default=\"\",\n help=\"Specify the directory path of the old version project to fulfill the incremental requirements.\",\n ),\n reqa_file: str = typer.Option(\n default=\"\", help=\"Specify the source file name for rewriting the quality assurance code.\"\n ),\n max_auto_summarize_code: int = typer.Option(\n default=0,\n help=\"The maximum number of times the 'SummarizeCode' action is automatically invoked, with -1 indicating \"\n \"unlimited. This parameter is used for debugging the workflow.\",\n ),\n recover_path: str = typer.Option(default=None, help=\"recover the project from existing serialized storage\"),\n init_config: bool = typer.Option(default=False, help=\"Initialize the configuration file for MetaGPT.\"),\n):\n \"\"\"Run a startup. Be a boss.\"\"\"\n if init_config:\n copy_config_to()\n return\n\n if idea is None:\n typer.echo(\"Missing argument 'IDEA'. Run 'metagpt --help' for more information.\")\n raise typer.Exit()\n\n return generate_repo(\n idea,\n investment,\n n_round,\n code_review,\n run_tests,\n implement,\n project_name,\n inc,\n project_path,\n reqa_file,\n max_auto_summarize_code,\n recover_path,\n )\n\n\ndef copy_config_to(config_path=METAGPT_ROOT / \"config\" / \"config2.yaml\"):\n \"\"\"Initialize the configuration file for MetaGPT.\"\"\"\n target_path = CONFIG_ROOT / \"config2.yaml\"\n\n # 创建目标目录（如果不存在）\n target_path.parent.mkdir(parents=True, exist_ok=True)\n\n # 如果目标文件已经存在，则重命名为 .bak\n if target_path.exists():\n backup_path = target_path.with_suffix(\".bak\")\n target_path.rename(backup_path)\n print(f\"Existing configuration file backed up at {backup_path}\")\n\n # 复制文件\n shutil.copy(str(config_path), target_path)\n print(f\"Configuration file initialized at {target_path}\")\n\n\nif __name__ == \"__main__\":\n app()\n\n```\n\n---\nTranslate the code above into Mermaid Sequence Diagram.": "```mermaid\nsequenceDiagram\n participant app\n participant generate_repo\n participant copy_config_to\n participant Team\n participant ProductManager\n participant Architect\n participant ProjectManager\n participant Engineer\n participant QaEngineer\n\n app -> generate_repo: startup()\n generate_repo -> config: update_via_cli()\n generate_repo -> Team: hire()\n Team -> ProductManager: hire()\n Team -> Architect: hire()\n Team -> ProjectManager: hire()\n generate_repo -> Engineer: hire()\n generate_repo -> QaEngineer: hire()\n generate_repo -> Team: invest()\n generate_repo -> Team: run_project()\n generate_repo -> Team: run()\n\n app -> copy_config_to: copy_config_to()\n copy_config_to -> config: update_via_cli()\n```", + "You are a python code to Mermaid Sequence Diagram translator in function detail#SYSTEM_MSG_END#```python\n#!/usr/bin/env python\n# -*- coding: utf-8 -*-\n\"\"\"\n@Time : 2023/12/14 11:40\n@Author : alexanderwu\n@File : write_prd_an.py\n\"\"\"\nfrom typing import List\n\nfrom metagpt.actions.action_node import ActionNode\n\nLANGUAGE = ActionNode(\n key=\"Language\",\n expected_type=str,\n instruction=\"Provide the language used in the project, typically matching the user's requirement language.\",\n example=\"en_us\",\n)\n\nPROGRAMMING_LANGUAGE = ActionNode(\n key=\"Programming Language\",\n expected_type=str,\n instruction=\"Python/JavaScript or other mainstream programming language.\",\n example=\"Python\",\n)\n\nORIGINAL_REQUIREMENTS = ActionNode(\n key=\"Original Requirements\",\n expected_type=str,\n instruction=\"Place the original user's requirements here.\",\n example=\"Create a 2048 game\",\n)\n\nPROJECT_NAME = ActionNode(\n key=\"Project Name\",\n expected_type=str,\n instruction='According to the content of \"Original Requirements,\" name the project using snake case style , '\n \"like 'game_2048' or 'simple_crm.\",\n example=\"game_2048\",\n)\n\nPRODUCT_GOALS = ActionNode(\n key=\"Product Goals\",\n expected_type=List[str],\n instruction=\"Provide up to three clear, orthogonal product goals.\",\n example=[\"Create an engaging user experience\", \"Improve accessibility, be responsive\", \"More beautiful UI\"],\n)\n\nUSER_STORIES = ActionNode(\n key=\"User Stories\",\n expected_type=List[str],\n instruction=\"Provide up to 3 to 5 scenario-based user stories.\",\n example=[\n \"As a player, I want to be able to choose difficulty levels\",\n \"As a player, I want to see my score after each game\",\n \"As a player, I want to get restart button when I lose\",\n \"As a player, I want to see beautiful UI that make me feel good\",\n \"As a player, I want to play game via mobile phone\",\n ],\n)\n\nCOMPETITIVE_ANALYSIS = ActionNode(\n key=\"Competitive Analysis\",\n expected_type=List[str],\n instruction=\"Provide 5 to 7 competitive products.\",\n example=[\n \"2048 Game A: Simple interface, lacks responsive features\",\n \"play2048.co: Beautiful and responsive UI with my best score shown\",\n \"2048game.com: Responsive UI with my best score shown, but many ads\",\n ],\n)\n\nCOMPETITIVE_QUADRANT_CHART = ActionNode(\n key=\"Competitive Quadrant Chart\",\n expected_type=str,\n instruction=\"Use mermaid quadrantChart syntax. Distribute scores evenly between 0 and 1\",\n example=\"\"\"quadrantChart\n title \"Reach and engagement of campaigns\"\n x-axis \"Low Reach\" --> \"High Reach\"\n y-axis \"Low Engagement\" --> \"High Engagement\"\n quadrant-1 \"We should expand\"\n quadrant-2 \"Need to promote\"\n quadrant-3 \"Re-evaluate\"\n quadrant-4 \"May be improved\"\n \"Campaign A\": [0.3, 0.6]\n \"Campaign B\": [0.45, 0.23]\n \"Campaign C\": [0.57, 0.69]\n \"Campaign D\": [0.78, 0.34]\n \"Campaign E\": [0.40, 0.34]\n \"Campaign F\": [0.35, 0.78]\n \"Our Target Product\": [0.5, 0.6]\"\"\",\n)\n\nREQUIREMENT_ANALYSIS = ActionNode(\n key=\"Requirement Analysis\",\n expected_type=str,\n instruction=\"Provide a detailed analysis of the requirements.\",\n example=\"\",\n)\n\nREQUIREMENT_POOL = ActionNode(\n key=\"Requirement Pool\",\n expected_type=List[List[str]],\n instruction=\"List down the top-5 requirements with their priority (P0, P1, P2).\",\n example=[[\"P0\", \"The main code ...\"], [\"P0\", \"The game algorithm ...\"]],\n)\n\nUI_DESIGN_DRAFT = ActionNode(\n key=\"UI Design draft\",\n expected_type=str,\n instruction=\"Provide a simple description of UI elements, functions, style, and layout.\",\n example=\"Basic function description with a simple style and layout.\",\n)\n\nANYTHING_UNCLEAR = ActionNode(\n key=\"Anything UNCLEAR\",\n expected_type=str,\n instruction=\"Mention any aspects of the project that are unclear and try to clarify them.\",\n example=\"\",\n)\n\nISSUE_TYPE = ActionNode(\n key=\"issue_type\",\n expected_type=str,\n instruction=\"Answer BUG/REQUIREMENT. If it is a bugfix, answer BUG, otherwise answer Requirement\",\n example=\"BUG\",\n)\n\nIS_RELATIVE = ActionNode(\n key=\"is_relative\",\n expected_type=str,\n instruction=\"Answer YES/NO. If the requirement is related to the old PRD, answer YES, otherwise NO\",\n example=\"YES\",\n)\n\nREASON = ActionNode(\n key=\"reason\", expected_type=str, instruction=\"Explain the reasoning process from question to answer\", example=\"...\"\n)\n\n\nNODES = [\n LANGUAGE,\n PROGRAMMING_LANGUAGE,\n ORIGINAL_REQUIREMENTS,\n PROJECT_NAME,\n PRODUCT_GOALS,\n USER_STORIES,\n COMPETITIVE_ANALYSIS,\n COMPETITIVE_QUADRANT_CHART,\n REQUIREMENT_ANALYSIS,\n REQUIREMENT_POOL,\n UI_DESIGN_DRAFT,\n ANYTHING_UNCLEAR,\n]\n\nWRITE_PRD_NODE = ActionNode.from_children(\"WritePRD\", NODES)\nWP_ISSUE_TYPE_NODE = ActionNode.from_children(\"WP_ISSUE_TYPE\", [ISSUE_TYPE, REASON])\nWP_IS_RELATIVE_NODE = ActionNode.from_children(\"WP_IS_RELATIVE\", [IS_RELATIVE, REASON])\n\n```\n\n---\nTranslate the code above into Mermaid Sequence Diagram.": "```mermaid\nclassDef actionNode fill:#f9f,stroke:#333,stroke-width:2px;\nclassDef actionNodeTitle fill:#f9f,stroke:#333,stroke-width:2px,font-weight:bold;\nclassDef actionNodeExample fill:#f9f,stroke:#333,stroke-width:2px,font-style:italic;\n\nclass ActionNodeTitle actionNodeTitle\nclass ActionNodeExample actionNodeExample\n\nActionNodeTitle:::Language --> \"Language\"\nActionNodeExample:::Language --> \"Provide the language used in the project, typically matching the user's requirement language.\\nExample: en_us\"\n\nActionNodeTitle:::ProgrammingLanguage --> \"Programming Language\"\nActionNodeExample:::ProgrammingLanguage --> \"Python/JavaScript or other mainstream programming language.\\nExample: Python\"\n\nActionNodeTitle:::OriginalRequirements --> \"Original Requirements\"\nActionNodeExample:::OriginalRequirements --> \"Place the original user's requirements here.\\nExample: Create a 2048 game\"\n\nActionNodeTitle:::ProjectName --> \"Project Name\"\nActionNodeExample:::ProjectName --> 'According to the content of \"Original Requirements,\" name the project using snake case style , like \\'game_2048\\' or \\'simple_crm.\\nExample: game_2048'\n\nActionNodeTitle:::ProductGoals --> \"Product Goals\"\nActionNodeExample:::ProductGoals --> \"Provide up to three clear, orthogonal product goals.\\nExample:\\n- Create an engaging user experience\\n- Improve accessibility, be responsive\\n- More beautiful UI\"\n\nActionNodeTitle:::UserStories --> \"User Stories\"\nActionNodeExample:::UserStories --> \"Provide up to 3 to 5 scenario-based user stories.\\nExample:\\n- As a player, I want to be able to choose difficulty levels\\n- As a player, I want to see my score after each game\\n- As a player, I want to get restart button when I lose\\n- As a player, I want to see beautiful UI that make me feel good\\n- As a player, I want to play game via mobile phone\"\n\nActionNodeTitle:::CompetitiveAnalysis --> \"Competitive Analysis\"\nActionNodeExample:::CompetitiveAnalysis --> \"Provide 5 to 7 competitive products.\\nExample:\\n- 2048 Game A: Simple interface, lacks responsive features\\n- play2048.co: Beautiful and responsive UI with my best score shown\\n- 2048game.com: Responsive UI with my best score shown, but many ads\"\n\nActionNodeTitle:::CompetitiveQuadrantChart --> \"Competitive Quadrant Chart\"\nActionNodeExample:::CompetitiveQuadrantChart --> \"Use mermaid quadrantChart syntax. Distribute scores evenly between 0 and 1\\nExample:\\nquadrantChart\\n title \\\"Reach and engagement of campaigns\\\"\\n x-axis \\\"Low Reach\\\" --> \\\"High Reach\\\"\\n y-axis \\\"Low Engagement\\\" --> \\\"High Engagement\\\"\\n quadrant-1 \\\"We should expand\\\"\\n quadrant-2 \\\"Need to promote\\\"\\n quadrant-3 \\\"Re-evaluate\\\"\\n quadrant-4 \\\"May be improved\\\"\\n \\\"Campaign A\\\": [0.3, 0.6]\\n \\\"Campaign B\\\": [0.45, 0.23]\\n \\\"Campaign C\\\": [0.57, 0.69]\\n \\\"Campaign D\\\": [0.78, 0.34]\\n \\\"Campaign E\\\": [0.40, 0.34]\\n \\\"Campaign F\\\": [0.35, 0.78]\\n \\\"Our Target Product\\\": [0.5, 0.6]\"\n\nActionNodeTitle:::RequirementAnalysis --> \"Requirement Analysis\"\nActionNodeExample:::RequirementAnalysis --> \"Provide a detailed analysis of the requirements.\\nExample: \"\n\nActionNodeTitle:::RequirementPool --> \"Requirement Pool\"\nActionNodeExample:::RequirementPool --> \"List down the top-5 requirements with their priority (P0, P1, P2).\\nExample:\\n- P0: The main code ...\\n- P0: The game algorithm ...\"\n\nActionNodeTitle:::UIDesignDraft --> \"UI Design draft\"\nActionNodeExample:::UIDesignDraft --> \"Provide a simple description of UI elements, functions, style, and layout.\\nExample: Basic function description with a simple style and layout.\"\n\nActionNodeTitle:::AnythingUNCLEAR --> \"Anything UNCLEAR\"\nActionNodeExample:::AnythingUNCLEAR --> \"Mention any aspects of the project that are unclear and try to clarify them.\\nExample: \"\n\nActionNodeTitle:::issue_type --> \"issue_type\"\nActionNodeExample:::issue_type --> \"Answer BUG/REQUIREMENT. If it is a bugfix, answer BUG, otherwise answer Requirement\\nExample: BUG\"\n\nActionNodeTitle:::is_relative --> \"is_relative\"\nActionNodeExample:::is_relative --> \"Answer YES/NO. If the requirement is related to the old PRD, answer YES, otherwise NO\\nExample: YES\"\n\nActionNodeTitle:::reason --> \"reason\"\nActionNodeExample:::reason --> \"Explain the reasoning process from question to answer\\nExample: ...\"\n\nActionNodeTitle:::WritePRD --> \"WritePRD\"\nActionNodeExample:::WritePRD --> \"Language\\nProgramming Language\\nOriginal Requirements\\nProject Name\\nProduct Goals\\nUser Stories\\nCompetitive Analysis\\nCompetitive Quadrant Chart\\nRequirement Analysis\\nRequirement Pool\\nUI Design draft\\nAnything UNCLEAR\"\n\nActionNodeTitle:::WP_ISSUE_TYPE --> \"WP_ISSUE_TYPE\"\nActionNodeExample:::WP_ISSUE_TYPE --> \"issue_type\\nreason\"\n\nActionNodeTitle:::WP_IS_RELATIVE --> \"WP_IS_RELATIVE\"\nActionNodeExample:::WP_IS_RELATIVE --> \"is_relative\\nreason\"\n```", + "\n## context\n\n### Project Name\n20240112110833\n\n### Original Requirements\n['开发一个基于大语言模型与私有知识库的搜索引擎，希望可以基于大语言模型进行搜索总结']\n\n### Search Information\n-\n\n\n-----\n\n## format example\n[CONTENT]\n{\n \"Language\": \"en_us\",\n \"Programming Language\": \"Python\",\n \"Original Requirements\": \"Create a 2048 game\",\n \"Product Goals\": [\n \"Create an engaging user experience\",\n \"Improve accessibility, be responsive\",\n \"More beautiful UI\"\n ],\n \"User Stories\": [\n \"As a player, I want to be able to choose difficulty levels\",\n \"As a player, I want to see my score after each game\",\n \"As a player, I want to get restart button when I lose\",\n \"As a player, I want to see beautiful UI that make me feel good\",\n \"As a player, I want to play game via mobile phone\"\n ],\n \"Competitive Analysis\": [\n \"2048 Game A: Simple interface, lacks responsive features\",\n \"play2048.co: Beautiful and responsive UI with my best score shown\",\n \"2048game.com: Responsive UI with my best score shown, but many ads\"\n ],\n \"Competitive Quadrant Chart\": \"quadrantChart\\n title \\\"Reach and engagement of campaigns\\\"\\n x-axis \\\"Low Reach\\\" --> \\\"High Reach\\\"\\n y-axis \\\"Low Engagement\\\" --> \\\"High Engagement\\\"\\n quadrant-1 \\\"We should expand\\\"\\n quadrant-2 \\\"Need to promote\\\"\\n quadrant-3 \\\"Re-evaluate\\\"\\n quadrant-4 \\\"May be improved\\\"\\n \\\"Campaign A\\\": [0.3, 0.6]\\n \\\"Campaign B\\\": [0.45, 0.23]\\n \\\"Campaign C\\\": [0.57, 0.69]\\n \\\"Campaign D\\\": [0.78, 0.34]\\n \\\"Campaign E\\\": [0.40, 0.34]\\n \\\"Campaign F\\\": [0.35, 0.78]\\n \\\"Our Target Product\\\": [0.5, 0.6]\",\n \"Requirement Analysis\": \"\",\n \"Requirement Pool\": [\n [\n \"P0\",\n \"The main code ...\"\n ],\n [\n \"P0\",\n \"The game algorithm ...\"\n ]\n ],\n \"UI Design draft\": \"Basic function description with a simple style and layout.\",\n \"Anything UNCLEAR\": \"\"\n}\n[/CONTENT]\n\n## nodes: \": # \"\n- Language: # Provide the language used in the project, typically matching the user's requirement language.\n- Programming Language: # Python/JavaScript or other mainstream programming language.\n- Original Requirements: # Place the original user's requirements here.\n- Product Goals: typing.List[str] # Provide up to three clear, orthogonal product goals.\n- User Stories: typing.List[str] # Provide up to 3 to 5 scenario-based user stories.\n- Competitive Analysis: typing.List[str] # Provide 5 to 7 competitive products.\n- Competitive Quadrant Chart: # Use mermaid quadrantChart syntax. Distribute scores evenly between 0 and 1\n- Requirement Analysis: # Provide a detailed analysis of the requirements.\n- Requirement Pool: typing.List[typing.List[str]] # List down the top-5 requirements with their priority (P0, P1, P2).\n- UI Design draft: # Provide a simple description of UI elements, functions, style, and layout.\n- Anything UNCLEAR: # Mention any aspects of the project that are unclear and try to clarify them.\n\n\n## constraint\nLanguage: Please use the same language as Human INPUT.\nFormat: output wrapped inside [CONTENT][/CONTENT] like format example, nothing else.\n\n## action\nFollow instructions of nodes, generate output and make sure it follows the format example.\n": "[CONTENT]\n{\n \"Language\": \"zh_cn\",\n \"Programming Language\": \"Python\",\n \"Original Requirements\": \"开发一个基于大语言模型与私有知识库的搜索引擎，希望可以基于大语言模型进行搜索总结\",\n \"Product Goals\": [],\n \"User Stories\": [],\n \"Competitive Analysis\": [],\n \"Competitive Quadrant Chart\": \"\",\n \"Requirement Analysis\": \"\",\n \"Requirement Pool\": [],\n \"UI Design draft\": \"\",\n \"Anything UNCLEAR\": \"\"\n}\n[/CONTENT]", + "\n## context\n\n### Project Name\n20240112110833\n\n### Original Requirements\n['']\n\n### Search Information\n-\n\n\n-----\n\n## format example\n[CONTENT]\n{\n \"Language\": \"en_us\",\n \"Programming Language\": \"Python\",\n \"Original Requirements\": \"Create a 2048 game\",\n \"Product Goals\": [\n \"Create an engaging user experience\",\n \"Improve accessibility, be responsive\",\n \"More beautiful UI\"\n ],\n \"User Stories\": [\n \"As a player, I want to be able to choose difficulty levels\",\n \"As a player, I want to see my score after each game\",\n \"As a player, I want to get restart button when I lose\",\n \"As a player, I want to see beautiful UI that make me feel good\",\n \"As a player, I want to play game via mobile phone\"\n ],\n \"Competitive Analysis\": [\n \"2048 Game A: Simple interface, lacks responsive features\",\n \"play2048.co: Beautiful and responsive UI with my best score shown\",\n \"2048game.com: Responsive UI with my best score shown, but many ads\"\n ],\n \"Competitive Quadrant Chart\": \"quadrantChart\\n title \\\"Reach and engagement of campaigns\\\"\\n x-axis \\\"Low Reach\\\" --> \\\"High Reach\\\"\\n y-axis \\\"Low Engagement\\\" --> \\\"High Engagement\\\"\\n quadrant-1 \\\"We should expand\\\"\\n quadrant-2 \\\"Need to promote\\\"\\n quadrant-3 \\\"Re-evaluate\\\"\\n quadrant-4 \\\"May be improved\\\"\\n \\\"Campaign A\\\": [0.3, 0.6]\\n \\\"Campaign B\\\": [0.45, 0.23]\\n \\\"Campaign C\\\": [0.57, 0.69]\\n \\\"Campaign D\\\": [0.78, 0.34]\\n \\\"Campaign E\\\": [0.40, 0.34]\\n \\\"Campaign F\\\": [0.35, 0.78]\\n \\\"Our Target Product\\\": [0.5, 0.6]\",\n \"Requirement Analysis\": \"\",\n \"Requirement Pool\": [\n [\n \"P0\",\n \"The main code ...\"\n ],\n [\n \"P0\",\n \"The game algorithm ...\"\n ]\n ],\n \"UI Design draft\": \"Basic function description with a simple style and layout.\",\n \"Anything UNCLEAR\": \"\"\n}\n[/CONTENT]\n\n## nodes: \": # \"\n- Language: # Provide the language used in the project, typically matching the user's requirement language.\n- Programming Language: # Python/JavaScript or other mainstream programming language.\n- Original Requirements: # Place the original user's requirements here.\n- Product Goals: typing.List[str] # Provide up to three clear, orthogonal product goals.\n- User Stories: typing.List[str] # Provide up to 3 to 5 scenario-based user stories.\n- Competitive Analysis: typing.List[str] # Provide 5 to 7 competitive products.\n- Competitive Quadrant Chart: # Use mermaid quadrantChart syntax. Distribute scores evenly between 0 and 1\n- Requirement Analysis: # Provide a detailed analysis of the requirements.\n- Requirement Pool: typing.List[typing.List[str]] # List down the top-5 requirements with their priority (P0, P1, P2).\n- UI Design draft: # Provide a simple description of UI elements, functions, style, and layout.\n- Anything UNCLEAR: # Mention any aspects of the project that are unclear and try to clarify them.\n\n\n## constraint\nLanguage: Please use the same language as Human INPUT.\nFormat: output wrapped inside [CONTENT][/CONTENT] like format example, nothing else.\n\n## action\nFollow instructions of nodes, generate output and make sure it follows the format example.\n": "[CONTENT]\n{\n \"Language\": \"en_us\",\n \"Programming Language\": \"Python\",\n \"Original Requirements\": \"\",\n \"Product Goals\": [],\n \"User Stories\": [],\n \"Competitive Analysis\": [],\n \"Competitive Quadrant Chart\": \"quadrantChart\\n title \\\"Reach and engagement of campaigns\\\"\\n x-axis \\\"Low Reach\\\" --> \\\"High Reach\\\"\\n y-axis \\\"Low Engagement\\\" --> \\\"High Engagement\\\"\\n quadrant-1 \\\"We should expand\\\"\\n quadrant-2 \\\"Need to promote\\\"\\n quadrant-3 \\\"Re-evaluate\\\"\\n quadrant-4 \\\"May be improved\\\"\\n \\\"Campaign A\\\": [0.3, 0.6]\\n \\\"Campaign B\\\": [0.45, 0.23]\\n \\\"Campaign C\\\": [0.57, 0.69]\\n \\\"Campaign D\\\": [0.78, 0.34]\\n \\\"Campaign E\\\": [0.40, 0.34]\\n \\\"Campaign F\\\": [0.35, 0.78]\\n \\\"Our Target Product\\\": [0.5, 0.6]\",\n \"Requirement Analysis\": \"\",\n \"Requirement Pool\": [],\n \"UI Design draft\": \"Basic function description with a simple style and layout.\",\n \"Anything UNCLEAR\": \"\"\n}\n[/CONTENT]" } \ No newline at end of file diff --git a/tests/data/search_rsp_cache.json b/tests/data/search_rsp_cache.json new file mode 100644 index 000000000..822fb2069 --- /dev/null +++ b/tests/data/search_rsp_cache.json @@ -0,0 +1,879 @@ +{ + 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Artificial Intelligence has experienced remarkable progress in recent years, with one term in particular capturing the attention of the digital landscape: MetaGPT online. It can also be referred to as one of the ChatGPT alternatives.In an increasingly competitive environment ...\",\"ae\":null,\"c\":\"https://www.almabetter.com/bytes/articles/metagpt\",\"d\":\"www.almabetter.com/bytes/articles/metagpt\",\"da\":\"\",\"e\":\"2023-08-28T00:00:00.0000000\",\"h\":0,\"i\":\"www.almabetter.com\",\"k\":null,\"m\":0,\"o\":0,\"p\":0,\"s\":\"bingv7aa\",\"t\":\"MetaGPT: The Future of Multi-Agent Collaboration in AI\",\"u\":\"https://www.almabetter.com/bytes/articles/metagpt\"},{\"a\":\"MetaGPT is a framework that uses different GPTs to generate APIs, user stories, data structures, and more. It can automate software development tasks, enhance existing programs, and collaborate with other agents. 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This new generation of AI models is capable of understanding ...\",\"ae\":null,\"c\":\"https://medium.com/technology-hits/autogpt-langchain-deep-lake-metagpt-a-revolutionary-framework-for-building-advanced-ai-e2c579d86494\",\"d\":\"medium.com/technology-hits/autogpt-langchain-deep-lake-metagpt-a-revolutionary-framework-for-building-advanced-ai-e2c579d86494\",\"da\":\"\",\"e\":\"2023-08-28T00:00:00.0000000\",\"h\":0,\"i\":\"medium.com\",\"k\":null,\"m\":0,\"o\":0,\"p\":0,\"s\":\"bingv7aa\",\"t\":\"AutoGPT \\u2014 LangChain \\u2014 Deep Lake \\u2014 MetaGPT: A ... - Medium\",\"u\":\"https://medium.com/technology-hits/autogpt-langchain-deep-lake-metagpt-a-revolutionary-framework-for-building-advanced-ai-e2c579d86494\"},{\"a\":\"Overview of the MetaGPT framework. 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Meta: Llama2. do is download and install Llama 2 locally. 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Learn from world-class faculty, seasoned academics and policymakers, and join the global Trojan Family network of more than 15,000 law school alumni.\",\"ae\":null,\"c\":\"https://gould.usc.edu/academics/degrees/online-llm/\",\"d\":\"gould.usc.edu/academics/degrees/online-llm/\",\"da\":\"\",\"h\":0,\"i\":\"gould.usc.edu\",\"k\":null,\"m\":0,\"o\":0,\"p\":0,\"s\":\"bingv7aa\",\"t\":\"Master of Laws (LLM) - Online - USC Gould School of Law\",\"u\":\"https://gould.usc.edu/academics/degrees/online-llm/\"},{\"a\":\"LLM in Taxation. The Master of Laws (LLM) is the degree of choice for career advancement and international credibility, particularly in today's competitive and globally focused legal environment. 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Choose from various formats, eligibility criteria, and specialization tracks to suit your goals and interests.\",\"ae\":null,\"c\":\"https://gould.usc.edu/academics/degrees/llm/\",\"d\":\"gould.usc.edu/academics/degrees/llm/\",\"da\":\"\",\"h\":0,\"i\":\"gould.usc.edu\",\"k\":null,\"m\":0,\"o\":0,\"p\":0,\"s\":\"bingv7aa\",\"t\":\"Master of Laws (LLM) Degree Programs | USC Gould School of Law\",\"u\":\"https://gould.usc.edu/academics/degrees/llm/\"},{\"a\":\"A large language model (LLM) is a type of artificial intelligence ( AI) algorithm that uses deep learning techniques and massively large data sets to understand, summarize, generate and predict new content. 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It can assist in requirements gathering, design, code generation, testing, and debugging ...\",\"ae\":null,\"c\":\"https://incubity.ambilio.com/metagpt-deep-dive-into-multi-agent-system-with-use-cases/\",\"d\":\"incubity.ambilio.com/metagpt-deep-dive-into-multi-agent-system-with-use-cases/\",\"da\":\"\",\"h\":0,\"i\":\"incubity.ambilio.com\",\"k\":null,\"m\":0,\"o\":0,\"p\":0,\"s\":\"bingv7aa\",\"t\":\"MetaGPT: Deep Dive into Multi-Agent System with Use Cases\",\"u\":\"https://incubity.ambilio.com/metagpt-deep-dive-into-multi-agent-system-with-use-cases/\"},{\"a\":\"Published 4 months ago on September 11, 2023 By Aayush Mittal With Large Language Models (LLMs) like ChatGPT, OpenAI has witnessed a surge in enterprise and user adoption, currently raking in around $80 million in monthly revenue.\",\"ae\":null,\"c\":\"https://www.unite.ai/metagpt-complete-guide-to-the-best-ai-agent-available-right-now/\",\"d\":\"www.unite.ai/metagpt-complete-guide-to-the-best-ai-agent-available-right-now/\",\"da\":\"\",\"e\":\"2023-09-11T00:00:00.0000000\",\"h\":0,\"i\":\"www.unite.ai\",\"k\":null,\"m\":0,\"o\":0,\"p\":0,\"s\":\"bingv7aa\",\"t\":\"MetaGPT: Complete Guide to the Best AI Agent Available Right Now\",\"u\":\"https://www.unite.ai/metagpt-complete-guide-to-the-best-ai-agent-available-right-now/\"},{\"a\":\"MetaGPT in Action: Use-cases Across Industries MetaGPT, a powerful language model developed by OpenAI, has been making waves across various industries due to its versatility and ability to generate human-like text. As artificial intelligence (AI) continues to advance, the potential applications of MetaGPT are becoming increasingly apparent.\",\"ae\":null,\"c\":\"https://ts2.pl/en/metagpt-in-action-use-cases-across-industries/\",\"d\":\"ts2.pl/en/metagpt-in-action-use-cases-across-industries/\",\"da\":\"\",\"e\":\"2023-06-12T00:00:00.0000000\",\"h\":0,\"i\":\"ts2.pl\",\"k\":null,\"m\":0,\"o\":0,\"p\":0,\"s\":\"bingv7aa\",\"t\":\"MetaGPT in Action: Use-cases Across Industries\",\"u\":\"https://ts2.pl/en/metagpt-in-action-use-cases-across-industries/\"},{\"a\":\"MetaGPT is a multi-agent framework that takes one-line inputs to produce APIs, user stories, data structures, competitive analysis, and more. GPT is the short form for Generative Pretrained Transformers. MetaGPT framework can behave as a product manager, software engineer, and architect.\",\"ae\":null,\"c\":\"https://geekflare.com/metagpt-multi-agent-framework/\",\"d\":\"geekflare.com/metagpt-multi-agent-framework/\",\"da\":\"\",\"e\":\"2023-09-18T00:00:00.0000000\",\"h\":0,\"i\":\"geekflare.com\",\"k\":null,\"m\":0,\"o\":0,\"p\":0,\"s\":\"bingv7aa\",\"t\":\"MetaGPT: Is This the Best Multi-Agent Framework Yet? - Geekflare\",\"u\":\"https://geekflare.com/metagpt-multi-agent-framework/\"},{\"a\":\"Software Company Multi-Role Schematic MetaGPT's Abilities MetaGPT started as a software company, but its capabilities are not limited to that. You can use this multi-agent framework in your own scenario to build your own application. For details, you can refer to Researcher under Use Cases. Let's do it. Examples (fully generated by GPT-4)\",\"ae\":null,\"c\":\"https://docs.deepwisdom.ai/main/en/guide/get_started/introduction.html\",\"d\":\"docs.deepwisdom.ai/main/en/guide/get_started/introduction.html\",\"da\":\"\",\"h\":0,\"i\":\"docs.deepwisdom.ai\",\"k\":null,\"m\":0,\"o\":0,\"p\":0,\"s\":\"bingv7aa\",\"t\":\"MetaGPT: The Multi-Agent Framework | MetaGPT\",\"u\":\"https://docs.deepwisdom.ai/main/en/guide/get_started/introduction.html\"},{\"a\":\"MetaGPT is a multi-agent system that utilizes Large Language Models (LLMs) to perform complex tasks. ... MetaGPT has demonstrated its capabilities in various use cases, including developing a CLI ...\",\"ae\":null,\"c\":\"https://www.straight.com/guides/software/a-complete-guide-to-metagpt-the-best-ai-agent-available-now/\",\"d\":\"www.straight.com/guides/software/a-complete-guide-to-metagpt-the-best-ai-agent-available-now/\",\"da\":\"\",\"e\":\"2023-12-13T00:00:00.0000000\",\"h\":0,\"i\":\"www.straight.com\",\"k\":null,\"m\":0,\"o\":0,\"p\":0,\"s\":\"bingv7aa\",\"t\":\"A Complete Guide to MetaGPT: The Best AI Agent Available Now\",\"u\":\"https://www.straight.com/guides/software/a-complete-guide-to-metagpt-the-best-ai-agent-available-now/\"},{\"a\":\"MetaGPT builds microapps - applications designed for specific tasks or use cases. Examples include Facebook Messenger, the project management app Trello, and even Microsoft Word. It only generates web apps - which can be viewed on mobile or desktop browsers but won't run as native apps on Android or iOS.\",\"ae\":null,\"c\":\"https://aibusiness.com/nlp/metagpt-text-to-app-ai-simplifies-web-dev\",\"d\":\"aibusiness.com/nlp/metagpt-text-to-app-ai-simplifies-web-dev\",\"da\":\"\",\"e\":\"2023-08-07T00:00:00.0000000\",\"h\":0,\"i\":\"aibusiness.com\",\"k\":null,\"m\":0,\"o\":0,\"p\":0,\"s\":\"bingv7aa\",\"t\":\"MetaGPT: Text-To-App AI Simplifies Web Dev\",\"u\":\"https://aibusiness.com/nlp/metagpt-text-to-app-ai-simplifies-web-dev\"},{\"a\":\"Here's a simple example of how to use MetaGPT: python startup.py "Write a cli snake game" # Use code review will cost more money, but will opt for better code quality. python startup.py "Write a cli snake game" --code_review True. ... Over the last few months, we have looked into around 100 agents with various use cases, studied SDKs and ...\",\"ae\":null,\"c\":\"https://levelup.gitconnected.com/metagpt-the-future-of-multi-agent-collaboration-in-ai-a-brief-guide-fd4b4429336d\",\"d\":\"levelup.gitconnected.com/metagpt-the-future-of-multi-agent-collaboration-in-ai-a-brief-guide-fd4b4429336d\",\"da\":\"\",\"e\":\"2023-08-09T00:00:00.0000000\",\"h\":0,\"i\":\"levelup.gitconnected.com\",\"k\":null,\"m\":0,\"o\":0,\"p\":0,\"s\":\"bingv7aa\",\"t\":\"MetaGPT: The Future of Multi-Agent Collaboration in AI (A Brief Guide)\",\"u\":\"https://levelup.gitconnected.com/metagpt-the-future-of-multi-agent-collaboration-in-ai-a-brief-guide-fd4b4429336d\"},{\"a\":\"MetaGPT: The Multi-Agent Framework Assign different roles to GPTs to form a collaborative software entity for complex tasks. MetaGPT takes a one line requirement as input and outputs user stories / competitive analysis / requirements / data structures / APIs / documents, etc.\",\"ae\":null,\"b\":\"gh\\tGitHub\\tgithub.com\",\"c\":\"https://github.com/geekan/MetaGPT\",\"d\":\"github.com/geekan/MetaGPT\",\"da\":\"\",\"h\":0,\"i\":\"github.com\",\"k\":null,\"m\":0,\"o\":0,\"p\":0,\"s\":\"bingv7aa\",\"t\":\"MetaGPT: The Multi-Agent Framework - GitHub\",\"u\":\"https://github.com/geekan/MetaGPT\"},{\"a\":\"You can check this by using:</span>\n<span class=\"pl-c\"><span class=\"pl-c\">#</span> You can use conda to initialize a new python env</span>\n<span class=\"pl-c\"><span class=\"pl-c\">#</span> conda create -n metagpt python=3.9</span>\n<span class=\"pl-c\"><span class=\"pl-c\">#</span> conda activate metagpt</span>\npython3 --version\n\n<span...\",\"ae\":null,\"b\":\"gh\\tGitHub\\tgithub.com\",\"c\":\"https://github.com/geekan/MetaGPT?search=1\",\"d\":\"github.com/geekan/MetaGPT?search=1\",\"da\":\"\",\"h\":0,\"i\":\"github.com\",\"k\":null,\"m\":0,\"o\":0,\"p\":0,\"s\":\"bingv7aa\",\"t\":\"MetaGPT: The Multi-Agent Framework - GitHub\",\"u\":\"https://github.com/geekan/MetaGPT?search=1\"},{\"a\":\"Now, let's get started! We will create a team of agents to write software based on one line of our instruction. First, import off-the-shelf roles. python. import asyncio from metagpt.roles import ( Architect, Engineer, ProductManager, ProjectManager, ) from metagpt.team import Team. Next, initiate the team, equip it with agents, set their ...\",\"ae\":null,\"c\":\"https://docs.deepwisdom.ai/main/en/guide/get_started/quickstart.html\",\"d\":\"docs.deepwisdom.ai/main/en/guide/get_started/quickstart.html\",\"da\":\"\",\"h\":0,\"i\":\"docs.deepwisdom.ai\",\"k\":null,\"m\":0,\"o\":0,\"p\":0,\"s\":\"bingv7aa\",\"t\":\"Quickstart | MetaGPT\",\"u\":\"https://docs.deepwisdom.ai/main/en/guide/get_started/quickstart.html\"},{\"a\":\"Stefan Silver \\u00b7 Follow Published in MLearning.ai \\u00b7 4 min read \\u00b7 Aug 9 4 Photo by Penfer on Unsplash Lately, there's been quite a buzz around automating problem-solving using multiagents...\",\"ae\":null,\"c\":\"https://medium.com/mlearning-ai/metagpt-multi-agent-harmony-for-complex-problem-solving-97bcb8f3fe94\",\"d\":\"medium.com/mlearning-ai/metagpt-multi-agent-harmony-for-complex-problem-solving-97bcb8f3fe94\",\"da\":\"\",\"e\":\"2023-08-09T00:00:00.0000000\",\"h\":0,\"i\":\"medium.com\",\"k\":null,\"m\":0,\"o\":0,\"p\":0,\"s\":\"bingv7aa\",\"t\":\"MetaGPT: Multi-Agent Harmony for Complex Problem Solving\",\"u\":\"https://medium.com/mlearning-ai/metagpt-multi-agent-harmony-for-complex-problem-solving-97bcb8f3fe94\"},{\"a\":\"Concepts. After this tutorial, you will be able to: Understand MetaGPT's concept of agent and environment. How agents interact with each other and what a multi-agent collaboration may look like. The goal is to provide an intuitive and simplified explanation of the concepts so that users have a background to further explore the tutorial series.\",\"ae\":null,\"c\":\"https://docs.deepwisdom.ai/enus/guide/tutorials/concepts.html\",\"d\":\"docs.deepwisdom.ai/enus/guide/tutorials/concepts.html\",\"da\":\"\",\"h\":0,\"i\":\"docs.deepwisdom.ai\",\"k\":null,\"m\":0,\"o\":0,\"p\":0,\"s\":\"bingv7aa\",\"t\":\"Concepts | MetaGPT\",\"u\":\"https://docs.deepwisdom.ai/enus/guide/tutorials/concepts.html\"},{\"a\":\"Capabilities/Use Case of MetaGPT MetaGPT has many potential applications and use cases in various fields and scenarios that involve multi-agent collaboration and coordination. Some of...\",\"ae\":null,\"c\":\"https://medium.com/aimonks/metagpt-a-framework-for-multi-agent-meta-programming-6c79f2eafb8e\",\"d\":\"medium.com/aimonks/metagpt-a-framework-for-multi-agent-meta-programming-6c79f2eafb8e\",\"da\":\"\",\"e\":\"2023-08-03T00:00:00.0000000\",\"h\":0,\"i\":\"medium.com\",\"k\":null,\"m\":0,\"o\":0,\"p\":0,\"s\":\"bingv7aa\",\"t\":\"MetaGPT: A Framework for Multi-Agent Meta Programming\",\"u\":\"https://medium.com/aimonks/metagpt-a-framework-for-multi-agent-meta-programming-6c79f2eafb8e\"},{\"a\":\"The metagpt.roles.researcher module provides a command-line interface for executing the functionalities of the Researcher. An example is as follows: bash. python3 -m metagpt.roles.researcher "dataiku vs. datarobot". Log output: log.txt Report output: dataiku vs. datarobot.md.\",\"ae\":null,\"c\":\"https://docs.deepwisdom.ai/main/en/guide/use_cases/agent/researcher.html\",\"d\":\"docs.deepwisdom.ai/main/en/guide/use_cases/agent/researcher.html\",\"da\":\"\",\"h\":0,\"i\":\"docs.deepwisdom.ai\",\"k\":null,\"m\":0,\"o\":0,\"p\":0,\"s\":\"bingv7aa\",\"t\":\"Researcher: Search Web and Write Reports | MetaGPT\",\"u\":\"https://docs.deepwisdom.ai/main/en/guide/use_cases/agent/researcher.html\"},{\"a\":\"You can check this by using:</span>\npython --version\n\n<span class=\"pl-c\"><span class=\"pl-c\">#</span> Step 3: Clone the repository to your local machine, and install it.</span>\ngit clone https://github.com/geekan/metagpt\n<span class=\"pl-c1\">cd</span> metagpt\npython setup.py install</pre></div>\n<h3 tabindex=\"-1\" dir=\"auto\"><a id=\...\",\"ae\":null,\"b\":\"gh\\tGitHub\\tgithub.com\",\"c\":\"https://github.com/PlaiD3/MetaGPT/blob/main/README.md\",\"d\":\"github.com/PlaiD3/MetaGPT/blob/main/README.md\",\"da\":\"\",\"h\":0,\"i\":\"github.com\",\"k\":null,\"m\":0,\"o\":0,\"p\":0,\"s\":\"bingv7aa\",\"t\":\"MetaGPT: Multi-Agent Meta Programming Framework - GitHub\",\"u\":\"https://github.com/PlaiD3/MetaGPT/blob/main/README.md\"},{\"a\":\"MetaGPT, as a cutting-edge framework, is not just a theoretical marvel but has been tested, showcasing its prowess in real-world applications. ... These articles cover a wide range of topics related to Generative AI, from introductions and use cases to exploring its potential and understanding its underlying layers. Happy reading!\",\"ae\":null,\"c\":\"https://generativeai.pub/analyzing-an-exciting-generative-ai-research-called-metagpt-2106385312db\",\"d\":\"generativeai.pub/analyzing-an-exciting-generative-ai-research-called-metagpt-2106385312db\",\"da\":\"translations\",\"e\":\"2023-08-14T00:00:00.0000000\",\"h\":0,\"i\":\"generativeai.pub\",\"k\":null,\"m\":0,\"o\":0,\"p\":0,\"s\":\"bingv7aa\",\"t\":\"Analyzing an exciting Generative AI research called MetaGPT.\",\"u\":\"https://generativeai.pub/analyzing-an-exciting-generative-ai-research-called-metagpt-2106385312db\"},{\"a\":\"Here are 10 compelling use cases that demonstrate the vast potential of LangChain: Uses-Cases of LangChain. 1. Conversational AI and Chatbots ... MetaGPT, or multimodal Generative Pretrained ...\",\"ae\":null,\"c\":\"https://medium.com/technology-hits/autogpt-langchain-deep-lake-metagpt-a-revolutionary-framework-for-building-advanced-ai-e2c579d86494\",\"d\":\"medium.com/technology-hits/autogpt-langchain-deep-lake-metagpt-a-revolutionary-framework-for-building-advanced-ai-e2c579d86494\",\"da\":\"\",\"e\":\"2023-08-28T00:00:00.0000000\",\"h\":0,\"i\":\"medium.com\",\"k\":null,\"m\":0,\"o\":0,\"p\":0,\"s\":\"bingv7aa\",\"t\":\"AutoGPT \\u2014 LangChain \\u2014 Deep Lake \\u2014 MetaGPT: A ... - Medium\",\"u\":\"https://medium.com/technology-hits/autogpt-langchain-deep-lake-metagpt-a-revolutionary-framework-for-building-advanced-ai-e2c579d86494\"},{\"a\":\"MetaGPT takes a one-line requirement as input and outputs user stories / competitive analysis/requirements/data structures / APIs / documents, etc. Internally, MetaGPT includes product managers/architects/project managers/engineers. It provides the entire process of a software company along with carefully orchestrated SOPs.\",\"ae\":null,\"c\":\"https://gpt3demo.com/apps/metagpt\",\"d\":\"gpt3demo.com/apps/metagpt\",\"da\":\"\",\"h\":0,\"i\":\"gpt3demo.com\",\"k\":null,\"m\":0,\"o\":0,\"p\":0,\"s\":\"bingv7aa\",\"t\":\"MetaGPT | Discover AI use cases - GPT-3 Demo\",\"u\":\"https://gpt3demo.com/apps/metagpt\"},{\"a\":\"Retrieve memory. When recorded memories are needed, such as serving as context for a LLM call, you can use self.get_memories. The function definition is as follows: python. def get_memories(self, k=0) -> list [Message]: """A wrapper to return the most recent k memories of this role, return all when k=0""" return self.rc.memory.get (k=k) For ...\",\"ae\":null,\"c\":\"https://docs.deepwisdom.ai/main/en/guide/tutorials/use_memories.html\",\"d\":\"docs.deepwisdom.ai/main/en/guide/tutorials/use_memories.html\",\"da\":\"\",\"h\":0,\"i\":\"docs.deepwisdom.ai\",\"k\":null,\"m\":0,\"o\":0,\"p\":0,\"s\":\"bingv7aa\",\"t\":\"Use Memories | MetaGPT\",\"u\":\"https://docs.deepwisdom.ai/main/en/guide/tutorials/use_memories.html\"},{\"a\":\"6 Conclusion Introduction Are you struggling to choose between MetaGPT Vs AutoGen? Comparing these two leading companies can help you make an informed decision. 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Enhanced Operational Efficiency. MetaGPT is designed to store, retrieve, and share information at varying levels, reducing redundancy and enhancing operational efficiency. This means that ...\",\"ae\":null,\"c\":\"https://www.straight.com/guides/software/a-complete-guide-to-metagpt-the-best-ai-agent-available-now/\",\"d\":\"www.straight.com/guides/software/a-complete-guide-to-metagpt-the-best-ai-agent-available-now/\",\"da\":\"\",\"e\":\"2023-12-13T00:00:00.0000000\",\"h\":0,\"i\":\"www.straight.com\",\"k\":null,\"m\":0,\"o\":0,\"p\":0,\"s\":\"bingv7aa\",\"t\":\"A Complete Guide to MetaGPT: The Best AI Agent Available Now\",\"u\":\"https://www.straight.com/guides/software/a-complete-guide-to-metagpt-the-best-ai-agent-available-now/\"},{\"a\":\"The MetaGPT approach showcases its ability to decompose highlevel tasks into detailed actionable components handled by distinct roles (ProductManager, Architect, ProjectManager, Engineer, QA Engineer), thereby facilitating role-specific expertise and coordination. This methodology mirrors human software development teams.\",\"ae\":null,\"c\":\"https://generativeai.pub/analyzing-an-exciting-generative-ai-research-called-metagpt-2106385312db\",\"d\":\"generativeai.pub/analyzing-an-exciting-generative-ai-research-called-metagpt-2106385312db\",\"da\":\"translations\",\"e\":\"2023-08-14T00:00:00.0000000\",\"h\":0,\"i\":\"generativeai.pub\",\"k\":null,\"m\":0,\"o\":0,\"p\":0,\"s\":\"bingv7aa\",\"t\":\"Analyzing an exciting Generative AI research called MetaGPT.\",\"u\":\"https://generativeai.pub/analyzing-an-exciting-generative-ai-research-called-metagpt-2106385312db\"},{\"a\":\"Internally, MetaGPT includes product managers / architects / project managers / engineers. It provides the entire process of a software company along with carefully orchestrated SOPs. Code = SOP (Team) is the core philosophy. 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This framework can act as an entire software company with ...\",\"ae\":null,\"c\":\"https://geekflare.com/metagpt-multi-agent-framework/\",\"d\":\"geekflare.com/metagpt-multi-agent-framework/\",\"da\":\"\",\"e\":\"2023-09-18T00:00:00.0000000\",\"h\":0,\"i\":\"geekflare.com\",\"k\":null,\"m\":0,\"o\":0,\"p\":0,\"s\":\"bingv7aa\",\"t\":\"MetaGPT: Is This the Best Multi-Agent Framework Yet? - Geekflare\",\"u\":\"https://geekflare.com/metagpt-multi-agent-framework/\"},{\"a\":\"MetaGPT manages far more software complexity than GPT-3.5 or other open-source frameworks like AutoGPT and AgentVerse, measured by lines of produced code. 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Agile Development SOPs act as a meta-function here, coordinating agents to auto-generate code based on defined inputs.\",\"ae\":null,\"c\":\"https://www.unite.ai/metagpt-complete-guide-to-the-best-ai-agent-available-right-now/\",\"d\":\"www.unite.ai/metagpt-complete-guide-to-the-best-ai-agent-available-right-now/\",\"da\":\"\",\"e\":\"2023-09-11T00:00:00.0000000\",\"h\":0,\"i\":\"www.unite.ai\",\"k\":null,\"m\":0,\"o\":0,\"p\":0,\"s\":\"bingv7aa\",\"t\":\"MetaGPT: Complete Guide to the Best AI Agent Available Right Now\",\"u\":\"https://www.unite.ai/metagpt-complete-guide-to-the-best-ai-agent-available-right-now/\"},{\"a\":\"MetaGPT is a multi-agent system that utilizes Large Language Models (LLMs) to perform complex tasks. 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As the digital landscape becomes more competitive, understanding and leveraging the capabilities of MetaGPT can be a game-changer for businesses, developers, and AI enthusiasts alike.\",\"ae\":null,\"c\":\"https://levelup.gitconnected.com/metagpt-the-future-of-multi-agent-collaboration-in-ai-a-brief-guide-fd4b4429336d\",\"d\":\"levelup.gitconnected.com/metagpt-the-future-of-multi-agent-collaboration-in-ai-a-brief-guide-fd4b4429336d\",\"da\":\"\",\"e\":\"2023-08-09T00:00:00.0000000\",\"h\":0,\"i\":\"levelup.gitconnected.com\",\"k\":null,\"m\":0,\"o\":0,\"p\":0,\"s\":\"bingv7aa\",\"t\":\"MetaGPT: The Future of Multi-Agent Collaboration in AI (A Brief Guide)\",\"u\":\"https://levelup.gitconnected.com/metagpt-the-future-of-multi-agent-collaboration-in-ai-a-brief-guide-fd4b4429336d\"},{\"a\":\"MetaGPT is a multi-agent framework that takes one-line inputs to produce APIs, user stories, data structures, competitive analysis, and more. GPT is the short form for Generative Pretrained Transformers. MetaGPT framework can behave as a product manager, software engineer, and architect. This framework can act as an entire software company with ...\",\"ae\":null,\"c\":\"https://geekflare.com/metagpt-multi-agent-framework/\",\"d\":\"geekflare.com/metagpt-multi-agent-framework/\",\"da\":\"\",\"e\":\"2023-09-18T00:00:00.0000000\",\"h\":0,\"i\":\"geekflare.com\",\"k\":null,\"m\":0,\"o\":0,\"p\":0,\"s\":\"bingv7aa\",\"t\":\"MetaGPT: Is This the Best Multi-Agent Framework Yet? - Geekflare\",\"u\":\"https://geekflare.com/metagpt-multi-agent-framework/\"},{\"a\":\"Gaming: MetaGPT can be used to create and control intelligent agents that can cooperate or compete with human players or other agents in various games, such as board games, card games, video...\",\"ae\":null,\"c\":\"https://medium.com/aimonks/metagpt-a-framework-for-multi-agent-meta-programming-6c79f2eafb8e\",\"d\":\"medium.com/aimonks/metagpt-a-framework-for-multi-agent-meta-programming-6c79f2eafb8e\",\"da\":\"\",\"e\":\"2023-08-03T00:00:00.0000000\",\"h\":0,\"i\":\"medium.com\",\"k\":null,\"m\":0,\"o\":0,\"p\":0,\"s\":\"bingv7aa\",\"t\":\"MetaGPT: A Framework for Multi-Agent Meta Programming\",\"u\":\"https://medium.com/aimonks/metagpt-a-framework-for-multi-agent-meta-programming-6c79f2eafb8e\"},{\"a\":\"You can check this by using:</span>\n<span class=\"pl-c\"><span class=\"pl-c\">#</span> You can use conda to initialize a new python env</span>\n<span class=\"pl-c\"><span class=\"pl-c\">#</span> conda create -n metagpt python=3.9</span>\n<span class=\"pl-c\"><span class=\"pl-c\">#</span> conda activate metagpt</span>\npython3 --version\n\n<span...\",\"ae\":null,\"b\":\"gh\\tGitHub\\tgithub.com\",\"c\":\"https://github.com/geekan/MetaGPT/blob/main/README.md\",\"d\":\"github.com/geekan/MetaGPT/blob/main/README.md\",\"da\":\"\",\"h\":0,\"i\":\"github.com\",\"k\":null,\"m\":0,\"o\":0,\"p\":0,\"s\":\"bingv7aa\",\"t\":\"MetaGPT: The Multi-Agent Framework - GitHub\",\"u\":\"https://github.com/geekan/MetaGPT/blob/main/README.md\"},{\"a\":\"MetaGPT utilizes an assembly line paradigm to assign diverse roles to various agents, efficiently breaking down complex tasks into subtasks involving many agents working together. On collaborative software engineering benchmarks, MetaGPT generates more coherent solutions than previous chat-based multi-agent systems.\",\"ae\":null,\"b\":\"arx\\tarXiv.org\\tarxiv.org\",\"c\":\"https://arxiv.org/abs/2308.00352\",\"d\":\"arxiv.org/abs/2308.00352\",\"da\":\"translations\",\"e\":\"2023-08-01T00:00:00.0000000\",\"h\":0,\"i\":\"arxiv.org\",\"k\":null,\"m\":0,\"o\":0,\"p\":0,\"s\":\"bingv7aa\",\"t\":\"MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework\",\"u\":\"https://arxiv.org/abs/2308.00352\"},{\"a\":\"MetaGPT: The Multi-Agent Framework Assign different roles to GPTs to form a collaborative software entity for complex tasks. MetaGPT takes a one line requirement as input and outputs user stories / competitive analysis / requirements / data structures / APIs / documents, etc.\",\"ae\":null,\"b\":\"gh\\tGitHub\\tgithub.com\",\"c\":\"https://github.com/geekan/MetaGPT\",\"d\":\"github.com/geekan/MetaGPT\",\"da\":\"\",\"h\":0,\"i\":\"github.com\",\"k\":null,\"m\":0,\"o\":0,\"p\":0,\"s\":\"bingv7aa\",\"t\":\"MetaGPT: The Multi-Agent Framework - GitHub\",\"u\":\"https://github.com/geekan/MetaGPT\"},{\"a\":\"MetaGPT's innovative approach to collaborative AI has the potential to reshape the landscape of software development. By harnessing the collective power of specialized AI roles, developers can ...\",\"ae\":null,\"c\":\"https://medium.com/@reddy.khoushik/metagpt-the-multi-agent-framework-revolutionizing-software-collaboration-38e48397021f\",\"d\":\"medium.com/@reddy.khoushik/metagpt-the-multi-agent-framework-revolutionizing-software-collaboration-38e48397021f\",\"da\":\"translations\",\"e\":\"2023-08-18T00:00:00.0000000\",\"h\":0,\"i\":\"medium.com\",\"k\":null,\"m\":0,\"o\":0,\"p\":0,\"s\":\"bingv7aa\",\"t\":\"MetaGPT: The Multi-Agent Framework Revolutionizing Software ... - Medium\",\"u\":\"https://medium.com/@reddy.khoushik/metagpt-the-multi-agent-framework-revolutionizing-software-collaboration-38e48397021f\"},{\"a\":\"MetaGPT streamlines the coordination between interdependent jobs by formalizing the artifacts that human experts exchange. Agents are connected by a shared environment that offers insight into activities and shared use of tools and resources. All communications between agents are contained in this environment.\",\"ae\":null,\"c\":\"https://www.marktechpost.com/2023/08/09/meet-metagpt-the-open-source-ai-framework-that-transforms-gpts-into-engineers-architects-and-managers/\",\"d\":\"www.marktechpost.com/2023/08/09/meet-metagpt-the-open-source-ai-framework-that-transforms-gpts-into-engineers-architects-and-managers/\",\"da\":\"translations\",\"e\":\"2023-08-09T00:00:00.0000000\",\"h\":0,\"i\":\"www.marktechpost.com\",\"k\":null,\"m\":0,\"o\":0,\"p\":0,\"s\":\"bingv7aa\",\"t\":\"Meet MetaGPT: The Open-Source AI Framework That Transforms GPTs into ...\",\"u\":\"https://www.marktechpost.com/2023/08/09/meet-metagpt-the-open-source-ai-framework-that-transforms-gpts-into-engineers-architects-and-managers/\"},{\"a\":\"This paper presents MetaGPT, a multi-agent framework that extends complex problem solving capabilities by encoding SOPs that incorporate real-world expertise into LLM agents, and shows through experiments that it can generate more consistent and comprehensive solutionsthan existing methods.\",\"ae\":null,\"c\":\"https://ai-scholar.tech/en/articles/agent-simulation/meta-gpt\",\"d\":\"ai-scholar.tech/en/articles/agent-simulation/meta-gpt\",\"da\":\"\",\"e\":\"2023-08-18T00:00:00.0000000\",\"h\":0,\"i\":\"ai-scholar.tech\",\"k\":null,\"m\":0,\"o\":0,\"p\":0,\"s\":\"bingv7aa\",\"t\":\"MetaGPT, a multi-agent framework in which AI consistently develops ...\",\"u\":\"https://ai-scholar.tech/en/articles/agent-simulation/meta-gpt\"},{\"a\":\"The core advantage of MetaGPT also lies in the easy and flexible development of a team of agents. Under MetaGPT framework, users can enable interactions between agents with a minimal amount of codes. ... we need three steps to set up the team and make it function: Define each role capable of intended actions; Think about the Standard Operating ...\",\"ae\":null,\"c\":\"https://docs.deepwisdom.ai/main/en/guide/tutorials/multi_agent_101.html\",\"d\":\"docs.deepwisdom.ai/main/en/guide/tutorials/multi_agent_101.html\",\"da\":\"translations\",\"h\":0,\"i\":\"docs.deepwisdom.ai\",\"k\":null,\"m\":0,\"o\":0,\"p\":0,\"s\":\"bingv7aa\",\"t\":\"MultiAgent 101 | MetaGPT\",\"u\":\"https://docs.deepwisdom.ai/main/en/guide/tutorials/multi_agent_101.html\"},{\"a\":\"MetaGPT is a groundbreaking multi-agent framework that is transforming the way software development is approached. By taking a single line of requirement as input, MetaGPT outputs a comprehensive array of development components, including user stories, competitive analysis, requirements, data structures, APIs, and documents.\",\"ae\":null,\"c\":\"https://lablab.ai/blog/this-week-in-ai-exploring-the-latest-from-metagpt-and-gpt4-and-more\",\"d\":\"lablab.ai/blog/this-week-in-ai-exploring-the-latest-from-metagpt-and-gpt4-and-more\",\"da\":\"\",\"e\":\"2023-08-11T00:00:00.0000000\",\"h\":0,\"i\":\"lablab.ai\",\"k\":null,\"m\":0,\"o\":0,\"p\":0,\"s\":\"bingv7aa\",\"t\":\"This Week in AI: Exploring the Latest from MetaGPT and GPT-4 and more..\",\"u\":\"https://lablab.ai/blog/this-week-in-ai-exploring-the-latest-from-metagpt-and-gpt4-and-more\"},{\"a\":\"MetaGPT then asks for a few additional details, such as the required inputs from the user. Subscribe to our Newsletter. ... One only needs to look at the success of AutoGPT, an open-source project looking to allow GPT-4 to function autonomously. Other similar projects include BabyAGI, a GPT API powered task management system, ...\",\"ae\":null,\"c\":\"https://analyticsindiamag.com/metagpt-realising-the-gpt-4-dream/\",\"d\":\"analyticsindiamag.com/metagpt-realising-the-gpt-4-dream/\",\"da\":\"\",\"e\":\"2023-04-26T00:00:00.0000000\",\"h\":0,\"i\":\"analyticsindiamag.com\",\"k\":null,\"m\":0,\"o\":0,\"p\":0,\"s\":\"bingv7aa\",\"t\":\"MetaGPT \\u2014 Realising the GPT-4 Dream - Analytics India Magazine\",\"u\":\"https://analyticsindiamag.com/metagpt-realising-the-gpt-4-dream/\"},{\"a\":\"In MetaGPT, class Action is the logical abstraction for an action. Users may use LLM to empower this Action by simply invoking the self._aask function, which will make LLM api call under the hood. In our scenario, we define a SimpleWriteCode subclassed Action.\",\"ae\":null,\"c\":\"https://docs.deepwisdom.ai/main/en/guide/tutorials/agent_101.html\",\"d\":\"docs.deepwisdom.ai/main/en/guide/tutorials/agent_101.html\",\"da\":\"translations\",\"h\":0,\"i\":\"docs.deepwisdom.ai\",\"k\":null,\"m\":0,\"o\":0,\"p\":0,\"s\":\"bingv7aa\",\"t\":\"Agent 101 | MetaGPT\",\"u\":\"https://docs.deepwisdom.ai/main/en/guide/tutorials/agent_101.html\"},{\"a\":\"Understanding MetaGPT MetaGPT, a concept originating from a research paper that received significant attention, represents a leap forward in Artificial Intelligence, specifically in multi-agent collaboration using large language models (LLMs).\",\"ae\":null,\"c\":\"https://www.almabetter.com/bytes/articles/metagpt\",\"d\":\"www.almabetter.com/bytes/articles/metagpt\",\"da\":\"\",\"e\":\"2023-08-28T00:00:00.0000000\",\"h\":0,\"i\":\"www.almabetter.com\",\"k\":null,\"m\":0,\"o\":0,\"p\":0,\"s\":\"bingv7aa\",\"t\":\"MetaGPT: The Future of Multi-Agent Collaboration in AI\",\"u\":\"https://www.almabetter.com/bytes/articles/metagpt\"},{\"a\":\"MetaGPT is a trending GitHub repository that simulates different roles in a software company using GPT-4. It's like a software company in a box (or CLI to be precise).\",\"ae\":null,\"c\":\"https://medium.com/@korolalexei/metagpt-a-multi-agent-framework-revolutionizing-software-development-f585fe1aa950\",\"d\":\"medium.com/@korolalexei/metagpt-a-multi-agent-framework-revolutionizing-software-development-f585fe1aa950\",\"da\":\"translations\",\"e\":\"2023-08-09T00:00:00.0000000\",\"h\":0,\"i\":\"medium.com\",\"k\":null,\"m\":0,\"o\":0,\"p\":0,\"s\":\"bingv7aa\",\"t\":\"MetaGPT: A Multi-Agent Framework Revolutionizing Software ... - Medium\",\"u\":\"https://medium.com/@korolalexei/metagpt-a-multi-agent-framework-revolutionizing-software-development-f585fe1aa950\"},{\"a\":\"You can check this by using:</span>\npython --version\n\n<span class=\"pl-c\"><span class=\"pl-c\">#</span> Step 3: Clone the repository to your local machine, and install it.</span>\ngit clone https://github.com/geekan/metagpt\n<span class=\"pl-c1\">cd</span> metagpt\npython setup.py install</pre></div>\n<h3 tabindex=\"-1\" dir=\"auto\"><a id=\...\",\"ae\":null,\"b\":\"gh\\tGitHub\\tgithub.com\",\"c\":\"https://github.com/PlaiD3/MetaGPT/blob/main/README.md\",\"d\":\"github.com/PlaiD3/MetaGPT/blob/main/README.md\",\"da\":\"\",\"h\":0,\"i\":\"github.com\",\"k\":null,\"m\":0,\"o\":0,\"p\":0,\"s\":\"bingv7aa\",\"t\":\"MetaGPT: Multi-Agent Meta Programming Framework - GitHub\",\"u\":\"https://github.com/PlaiD3/MetaGPT/blob/main/README.md\"},{\"a\":\"\\u2014 MetaGPT is a multi-agent framework that enables collaboration among AI agents to tackle complex tasks and achieve collective intelligence. How does MetaGPT work? \\u2014 MetaGPT assigns specific roles to GPT agents based on their strengths and expertise, allowing them to collaborate, communicate, and share information to effectively tackle ...\",\"ae\":null,\"c\":\"https://eightify.app/summary/computer-science-and-technology/metagpt-advanced-autonomous-ai-agents-installation-tutorial\",\"d\":\"eightify.app/summary/computer-science-and-technology/metagpt-advanced-autonomous-ai-agents-installation-tutorial\",\"da\":\"\",\"h\":0,\"i\":\"eightify.app\",\"k\":null,\"m\":0,\"o\":0,\"p\":0,\"s\":\"bingv7aa\",\"t\":\"MetaGPT: Advanced Autonomous AI Agents Installation Tutorial\",\"u\":\"https://eightify.app/summary/computer-science-and-technology/metagpt-advanced-autonomous-ai-agents-installation-tutorial\"},{\"a\":\"Therefore, we introduce MetaGPT, an innovative framework that incorporates efficient human workflows as a meta programming approach into LLM-based multi-agent collaboration. Specifically, MetaGPT encodes Standardized Operating Procedures (SOPs) into prompts to enhance structured coordination. ... SOPs act as a meta-function, taking the team and ...\",\"ae\":null,\"b\":\"arx\\tarXiv.org\\tarxiv.org\",\"c\":\"https://ar5iv.labs.arxiv.org/html/2308.00352\",\"d\":\"ar5iv.labs.arxiv.org/html/2308.00352\",\"da\":\"translations\",\"e\":\"2023-09-05T00:00:00.0000000\",\"h\":0,\"i\":\"ar5iv.labs.arxiv.org\",\"k\":null,\"m\":0,\"o\":0,\"p\":0,\"s\":\"bingv7aa\",\"t\":\"MetaGPT: Meta Programming for Multi-Agent Collaborative Framework\",\"u\":\"https://ar5iv.labs.arxiv.org/html/2308.00352\"},{\"a\":\"Discover MetaGPT, a cutting-edge technology that harnesses Standardized Operating Procedures (SOPs) to orchestrate Large Language Model (LLM)-driven multi-agent systems, revolutionizing software development and collaborative task resolution. Explore its key features, delve into the core mechanisms, and learn how it enhances collaboration efficiency.\",\"ae\":null,\"c\":\"https://www.freegpttools.org/metagpt\",\"d\":\"www.freegpttools.org/metagpt\",\"da\":\"\",\"h\":0,\"i\":\"www.freegpttools.org\",\"k\":null,\"m\":0,\"o\":0,\"p\":0,\"s\":\"bingv7aa\",\"t\":\"Unlocking the Power of MetaGPT: A Multi-Agent Framework for Complex ...\",\"u\":\"https://www.freegpttools.org/metagpt\"},{\"a\":\"Message Function: Retained for event notification, weakened data transportation. Configuration Optimization: Default to gpt-4-1106-preview. ~/.metagpt for highest priority config, reading config.yaml. METAGPT_PROJECT_ROOT for workspace path specification. project_name specification via command line, generated by ProductManager. CLI Support\",\"ae\":null,\"b\":\"gh\\tGitHub\\tgithub.com\",\"c\":\"https://github.com/geekan/MetaGPT/releases\",\"d\":\"github.com/geekan/MetaGPT/releases\",\"da\":\"\",\"h\":0,\"i\":\"github.com\",\"k\":null,\"m\":0,\"o\":0,\"p\":0,\"s\":\"bingv7aa\",\"t\":\"Releases \\u00b7 geekan/MetaGPT \\u00b7 GitHub\",\"u\":\"https://github.com/geekan/MetaGPT/releases\"},{\"a\":\"SOPs act as a meta-function here, coordinating agents to auto-generate code based on defined inputs. In simple terms, it's as if you've turned a highly coordinated team of software engineers into an adaptable, intelligent software system. ... MetaGPT's architecture is divided into two layers: the Foundational Components Layer and the ...\",\"ae\":null,\"c\":\"https://theventurecation.com/metagpt-complete-guide-to-the-best-ai-agent-available-right-now/\",\"d\":\"theventurecation.com/metagpt-complete-guide-to-the-best-ai-agent-available-right-now/\",\"da\":\"\",\"e\":\"2023-09-11T00:00:00.0000000\",\"h\":0,\"i\":\"theventurecation.com\",\"k\":null,\"m\":0,\"o\":0,\"p\":0,\"s\":\"bingv7aa\",\"t\":\"MetaGPT: Complete Guide to the Best AI Agent Available Right Now\",\"u\":\"https://theventurecation.com/metagpt-complete-guide-to-the-best-ai-agent-available-right-now/\"},{\"a\":\"Today, we are excited to take the next significant step forward and introduce a new Copilot key to Windows 11 PCs. In this new year, we will be ushering in a significant shift toward a more personal and intelligent computing future where AI will be seamlessly woven into Windows from the system, to the silicon, to the hardware.\",\"ae\":null,\"c\":\"https://blogs.windows.com/windowsexperience/2024/01/04/introducing-a-new-copilot-key-to-kick-off-the-year-of-ai-powered-windows-pcs/\",\"d\":\"blogs.windows.com/windowsexperience/2024/01/04/introducing-a-new-copilot-key-to-kick-off-the-year-of-ai-powered-windows-pcs/\",\"da\":\"translations\",\"e\":\"2024-01-04T00:00:00.0000000\",\"h\":0,\"i\":\"blogs.windows.com\",\"k\":null,\"m\":0,\"o\":0,\"p\":0,\"s\":\"bingv7aa\",\"t\":\"Introducing a new Copilot key to kick off the year of AI-powered ...\",\"u\":\"https://blogs.windows.com/windowsexperience/2024/01/04/introducing-a-new-copilot-key-to-kick-off-the-year-of-ai-powered-windows-pcs/\"},{\"a\":\"11 Cosmic Contingencies About 600,000 words between ChatGPT and I later. 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Contributors 55 + 41 contributors Languages.\",\"ae\":null,\"b\":\"gh\\tGitHub\\tgithub.com\",\"c\":\"https://github.com/geekan/MetaGPT\",\"d\":\"github.com/geekan/MetaGPT\",\"da\":\"\",\"h\":0,\"i\":\"github.com\",\"k\":null,\"m\":0,\"o\":0,\"p\":0,\"s\":\"bingv7aa\",\"t\":\"MetaGPT: The Multi-Agent Framework - GitHub\",\"u\":\"https://github.com/geekan/MetaGPT\"},{\"a\":\"Aug 27, 2023 \\u2022 6 min read Watch the video! MetaGPT: Redefining Multi-Agent Collaboration for Complex Tasks Watch on Thanks to GPT and the recent large language models, we've seen the popularization of a new type of AI-based system\\u2026 agents. An agent is basically an AI model like ChatGPT that can access and interact with one or more applications.\",\"ae\":null,\"c\":\"https://www.louisbouchard.ai/metagpt/\",\"d\":\"www.louisbouchard.ai/metagpt/\",\"da\":\"\",\"e\":\"2023-08-27T00:00:00.0000000\",\"h\":0,\"i\":\"www.louisbouchard.ai\",\"k\":null,\"m\":0,\"o\":0,\"p\":0,\"s\":\"bingv7aa\",\"t\":\"Mitigating AI Hallucinations: Exploring MetaGPT's Collaborative Framework\",\"u\":\"https://www.louisbouchard.ai/metagpt/\"},{\"a\":\"MetaGPT is a groundbreaking multi-agent framework that is transforming the way software development is approached. By taking a single line of requirement as input, MetaGPT outputs a comprehensive array of development components, including user stories, competitive analysis, requirements, data structures, APIs, and documents.\",\"ae\":null,\"c\":\"https://lablab.ai/blog/this-week-in-ai-exploring-the-latest-from-metagpt-and-gpt4-and-more\",\"d\":\"lablab.ai/blog/this-week-in-ai-exploring-the-latest-from-metagpt-and-gpt4-and-more\",\"da\":\"\",\"e\":\"2023-08-11T00:00:00.0000000\",\"h\":0,\"i\":\"lablab.ai\",\"k\":null,\"m\":0,\"o\":0,\"p\":0,\"s\":\"bingv7aa\",\"t\":\"This Week in AI: Exploring the Latest from MetaGPT and GPT-4 and more..\",\"u\":\"https://lablab.ai/blog/this-week-in-ai-exploring-the-latest-from-metagpt-and-gpt4-and-more\"},{\"a\":\"This iteration focuses on MetaGPT, a new approach to improving collaborations between AI agents (e.g., ChatGPT-based entities mimicking human roles). ... 3D-LLM Unleashes Language Models into the ...\",\"ae\":null,\"b\":\"li\\tLinkedIn\\twww.linkedin.com\",\"c\":\"https://www.linkedin.com/pulse/what-metagpt-llm-agents-collaborating-solve-complex-bouchard-\",\"d\":\"www.linkedin.com/pulse/what-metagpt-llm-agents-collaborating-solve-complex-bouchard-\",\"da\":\"\",\"e\":\"2023-08-28T00:00:00.0000000\",\"h\":0,\"i\":\"www.linkedin.com\",\"k\":null,\"m\":0,\"o\":0,\"p\":0,\"s\":\"bingv7aa\",\"t\":\"What is MetaGPT? LLM Agents Collaborating to Solve Complex Tasks - LinkedIn\",\"u\":\"https://www.linkedin.com/pulse/what-metagpt-llm-agents-collaborating-solve-complex-bouchard-\"},{\"a\":\"Latest Machine Learning What is MetaGPT? LLM Agents Collaborating to Solve Complex Tasks August 28, 2023 Last Updated on August 29, 2023 by Editorial Team Author (s): Louis Bouchard Watch the video! This member-only story is on us. Upgrade to access all of Medium. Originally published on louisbouchard.ai, read it 2 days before on my blog!\",\"ae\":null,\"c\":\"https://towardsai.net/p/machine-learning/what-is-metagpt-llm-agents-collaborating-to-solve-complex-tasks\",\"d\":\"towardsai.net/p/machine-learning/what-is-metagpt-llm-agents-collaborating-to-solve-complex-tasks\",\"da\":\"\",\"e\":\"2023-08-29T00:00:00.0000000\",\"h\":0,\"i\":\"towardsai.net\",\"k\":null,\"m\":0,\"o\":0,\"p\":0,\"s\":\"bingv7aa\",\"t\":\"What is MetaGPT? LLM Agents Collaborating to Solve Complex Tasks\",\"u\":\"https://towardsai.net/p/machine-learning/what-is-metagpt-llm-agents-collaborating-to-solve-complex-tasks\"},{\"a\":\"You know how those multi-agent systems powered by Large Language Models (LLMs) have the potential to mimic and jazz up human workflows? But, the real world's a tangled place, and these systems...\",\"ae\":null,\"c\":\"https://medium.com/mlearning-ai/metagpt-multi-agent-harmony-for-complex-problem-solving-97bcb8f3fe94\",\"d\":\"medium.com/mlearning-ai/metagpt-multi-agent-harmony-for-complex-problem-solving-97bcb8f3fe94\",\"da\":\"\",\"e\":\"2023-08-09T00:00:00.0000000\",\"h\":0,\"i\":\"medium.com\",\"k\":null,\"m\":0,\"o\":0,\"p\":0,\"s\":\"bingv7aa\",\"t\":\"MetaGPT: Multi-Agent Harmony for Complex Problem Solving\",\"u\":\"https://medium.com/mlearning-ai/metagpt-multi-agent-harmony-for-complex-problem-solving-97bcb8f3fe94\"},{\"a\":\"T he essence of MetaGPT is the seamless integration of SOPs to craft a highly coordinated LLM-based multi-agent ecosystem. With a focus on emulating human-like roles and intricate workflows, it...\",\"ae\":null,\"c\":\"https://medium.com/@yousra.aoudi/navigating-the-future-metagpts-innovative-approach-to-multi-agent-collaboration-ed1cc5835011\",\"d\":\"medium.com/@yousra.aoudi/navigating-the-future-metagpts-innovative-approach-to-multi-agent-collaboration-ed1cc5835011\",\"da\":\"translations\",\"e\":\"2023-08-10T00:00:00.0000000\",\"h\":0,\"i\":\"medium.com\",\"k\":null,\"m\":0,\"o\":0,\"p\":0,\"s\":\"bingv7aa\",\"t\":\"Navigating the Future: MetaGPT's Innovative Approach to ... - Medium\",\"u\":\"https://medium.com/@yousra.aoudi/navigating-the-future-metagpts-innovative-approach-to-multi-agent-collaboration-ed1cc5835011\"},{\"a\":\"Recently, remarkable progress has been made on automated problem solving through societies of agents based on large language models (LLMs). Previous LLM-based multi-agent systems can already solve simple dialogue tasks.\",\"ae\":null,\"c\":\"https://openreview.net/forum?id=VtmBAGCN7o\",\"d\":\"openreview.net/forum?id=VtmBAGCN7o\",\"da\":\"\",\"e\":\"2023-09-22T00:00:00.0000000\",\"h\":0,\"i\":\"openreview.net\",\"k\":null,\"m\":0,\"o\":0,\"p\":0,\"s\":\"bingv7aa\",\"t\":\"MetaGPT: Meta Programming for Multi-Agent Collaborative Framework\",\"u\":\"https://openreview.net/forum?id=VtmBAGCN7o\"},{\"a\":\"Deep Lake is a remarkable answer to the problem of storing gigabytes of data for LLMs \\u2014 efficiently, easily, and practically. Its unique configuration allows the optimal usage of finances. OpenAI's LLM Operational Cost Daily is on average 700,000 USD a day. Some are even predicting bankruptcy for the company.\",\"ae\":null,\"c\":\"https://hackernoon.com/autogpt-langchain-deep-lake-metagpt-building-the-ultimate-llm-app\",\"d\":\"hackernoon.com/autogpt-langchain-deep-lake-metagpt-building-the-ultimate-llm-app\",\"da\":\"\",\"e\":\"2023-08-29T00:00:00.0000000\",\"h\":0,\"i\":\"hackernoon.com\",\"k\":null,\"m\":0,\"o\":0,\"p\":0,\"s\":\"bingv7aa\",\"t\":\"Deep Lake \\u2014 MetaGPT: Building the Ultimate LLM App - HackerNoon\",\"u\":\"https://hackernoon.com/autogpt-langchain-deep-lake-metagpt-building-the-ultimate-llm-app\"},{\"a\":\"The MetaGPT approach showcases its ability to decompose highlevel tasks into detailed actionable components handled by distinct roles (ProductManager, Architect, ProjectManager, Engineer, QA Engineer), thereby facilitating role-specific expertise and coordination. This methodology mirrors human software development teams.\",\"ae\":null,\"c\":\"https://generativeai.pub/analyzing-an-exciting-generative-ai-research-called-metagpt-2106385312db\",\"d\":\"generativeai.pub/analyzing-an-exciting-generative-ai-research-called-metagpt-2106385312db\",\"da\":\"translations\",\"e\":\"2023-08-14T00:00:00.0000000\",\"h\":0,\"i\":\"generativeai.pub\",\"k\":null,\"m\":0,\"o\":0,\"p\":0,\"s\":\"bingv7aa\",\"t\":\"Analyzing an exciting Generative AI research called MetaGPT.\",\"u\":\"https://generativeai.pub/analyzing-an-exciting-generative-ai-research-called-metagpt-2106385312db\"},{\"a\":\"In this work, we present MetaGPT, a promising framework for collaborative agents using SOPs that leverages LLMs to mimic efficient human workflows. MetaGPT is a meta programming technology that utilizes SOPs to coordinate LLM-based multi-agent systems. Specifically, to encode SOPs into prompts, MetaGPT manages multi-agents through role ...\",\"ae\":null,\"b\":\"arx\\tarXiv.org\\tarxiv.org\",\"c\":\"https://ar5iv.labs.arxiv.org/html/2308.00352\",\"d\":\"ar5iv.labs.arxiv.org/html/2308.00352\",\"da\":\"translations\",\"e\":\"2023-09-05T00:00:00.0000000\",\"h\":0,\"i\":\"ar5iv.labs.arxiv.org\",\"k\":null,\"m\":0,\"o\":0,\"p\":0,\"s\":\"bingv7aa\",\"t\":\"MetaGPT: Meta Programming for Multi-Agent Collaborative Framework\",\"u\":\"https://ar5iv.labs.arxiv.org/html/2308.00352\"},{\"a\":\"MetaGPT: Meta Programming for Multi-Agent Collaborative Framework. Topsakal, O., & Akinci, T.C. (2023). Creating Large Language Model Applications Utilizing LangChain: A Primer on Developing LLM ...\",\"ae\":null,\"c\":\"https://medium.com/technology-hits/autogpt-langchain-deep-lake-metagpt-a-revolutionary-framework-for-building-advanced-ai-e2c579d86494\",\"d\":\"medium.com/technology-hits/autogpt-langchain-deep-lake-metagpt-a-revolutionary-framework-for-building-advanced-ai-e2c579d86494\",\"da\":\"\",\"e\":\"2023-08-28T00:00:00.0000000\",\"h\":0,\"i\":\"medium.com\",\"k\":null,\"m\":0,\"o\":0,\"p\":0,\"s\":\"bingv7aa\",\"t\":\"AutoGPT \\u2014 LangChain \\u2014 Deep Lake \\u2014 MetaGPT: A ... - Medium\",\"u\":\"https://medium.com/technology-hits/autogpt-langchain-deep-lake-metagpt-a-revolutionary-framework-for-building-advanced-ai-e2c579d86494\"},{\"a\":\"Louis , starting with a trending topic: AI agents! This iteration focuses on MetaGPT, a new approach to improving collaborations between AI agents (e.g., ChatGPT-based entities mimicking human roles).\",\"ae\":null,\"c\":\"https://louisbouchard.substack.com/p/what-is-metagpt-llm-agents-collaborating\",\"d\":\"louisbouchard.substack.com/p/what-is-metagpt-llm-agents-collaborating\",\"da\":\"\",\"e\":\"2023-08-28T00:00:00.0000000\",\"h\":0,\"i\":\"louisbouchard.substack.com\",\"k\":null,\"m\":0,\"o\":0,\"p\":0,\"s\":\"bingv7aa\",\"t\":\"What is MetaGPT? LLM Agents Collaborating to Solve Complex Tasks\",\"u\":\"https://louisbouchard.substack.com/p/what-is-metagpt-llm-agents-collaborating\"},{\"a\":\"Today, LLM-powered applications are running predominantly in the cloud. However, many use cases that would benefit from running LLMs locally on Windows PCs, including gaming, creativity, productivity, and developer experiences. AT CES 2024, NVIDIA announced several developer tools to accelerate LLM inference and development on NVIDIA RTX ...\",\"ae\":null,\"c\":\"https://developer.nvidia.com/blog/supercharging-llm-applications-on-windows-pcs-with-nvidia-rtx-systems/\",\"d\":\"developer.nvidia.com/blog/supercharging-llm-applications-on-windows-pcs-with-nvidia-rtx-systems/\",\"da\":\"\",\"e\":\"2024-01-08T00:00:00.0000000\",\"h\":0,\"i\":\"developer.nvidia.com\",\"k\":null,\"m\":0,\"o\":0,\"p\":0,\"s\":\"bingv7aa\",\"t\":\"Supercharging LLM Applications on Windows PCs with NVIDIA RTX Systems\",\"u\":\"https://developer.nvidia.com/blog/supercharging-llm-applications-on-windows-pcs-with-nvidia-rtx-systems/\"},{\"a\":\"Supported Ollama as underlying LLM #603 by @better629; Enabled MetaGPT to be used as a dependency for web applications, such as https: ... PIP Support: pip install metagpt is now available for installing and using metagpt, enabling direct access to the command-line version of metagpt.\",\"ae\":null,\"b\":\"gh\\tGitHub\\tgithub.com\",\"c\":\"https://github.com/geekan/MetaGPT/releases\",\"d\":\"github.com/geekan/MetaGPT/releases\",\"da\":\"\",\"h\":0,\"i\":\"github.com\",\"k\":null,\"m\":0,\"o\":0,\"p\":0,\"s\":\"bingv7aa\",\"t\":\"Releases \\u00b7 geekan/MetaGPT \\u00b7 GitHub\",\"u\":\"https://github.com/geekan/MetaGPT/releases\"},{\"a\":\"If you want to support <code>http: //ip:11434/api/chat</code>, you can do as follows:</p>\n<div class=\"highlight highlight-source-shell notranslate position-relative overflow-auto\" dir=\"auto\" data-snippet-clipboard-copy-content=\"service ollama stop\n\nOLLAMA_HOST=0.0.0.0 OLLAMA_ORIGINS=* ollama serve # one terminal\n\nollama run llama2 # ot...\",\"ae\":null,\"b\":\"gh\\tGitHub\\tgithub.com\",\"c\":\"https://github.com/geekan/MetaGPT-docs/blob/main/src/en/guide/tutorials/integration_with_open_llm.md\",\"d\":\"github.com/geekan/MetaGPT-docs/blob/main/src/en/guide/tutorials/integration_with_open_llm.md\",\"da\":\"\",\"h\":0,\"i\":\"github.com\",\"k\":null,\"m\":0,\"o\":0,\"p\":0,\"s\":\"bingv7aa\",\"t\":\"Integration with open LLM - GitHub\",\"u\":\"https://github.com/geekan/MetaGPT-docs/blob/main/src/en/guide/tutorials/integration_with_open_llm.md\"},{\"a\":\"With LLM-based agents empowered by the MetaGPT framework, companies can streamline their workflows and improve productivity. 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It is an open-source embedding database. Chroma makes it easy to build LLM apps by making knowledge, facts, and ...\",\"ae\":null,\"c\":\"https://stackshare.io/metagpt\",\"d\":\"stackshare.io/metagpt\",\"da\":\"\",\"h\":0,\"i\":\"stackshare.io\",\"k\":null,\"m\":0,\"o\":0,\"p\":0,\"s\":\"bingv7aa\",\"t\":\"MetaGPT - Reviews, Pros & Cons | Companies using MetaGPT - StackShare\",\"u\":\"https://stackshare.io/metagpt\"},{\"a\":\"MetaGPT is the maestro who brings harmony to this chaos. 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Yard Management. 25 reviews on 28 vendors. chevron_right. Zero Trust Network Access. 733 reviews on 47 vendors. chevron_right. Read the latest Gartner-verified reviews covering over 500+ software categories and find the best enterprise software or services for your organization.\",\"ae\":null,\"c\":\"https://www.gartner.com/reviews/market/dsml-engineering-platforms/compare/dataiku-vs-datarobot\",\"d\":\"www.gartner.com/reviews/market/dsml-engineering-platforms/compare/dataiku-vs-datarobot\",\"da\":\"\",\"h\":0,\"i\":\"www.gartner.com\",\"k\":null,\"m\":0,\"o\":0,\"p\":0,\"s\":\"bingv7aa\",\"t\":\"Explore Enterprise Software Categories | Gartner Peer Insights\",\"u\":\"https://www.gartner.com/reviews/market/dsml-engineering-platforms/compare/dataiku-vs-datarobot\"},{\"a\":\"1. Dataiku is a versatile desktop application comprised of a wide range of tools, including automated machine learning, notebooks, and workflow management. 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repo = CONTEXT.file_repo - await repo.save_file(filename=ctx.code_filename, content=CODE_CONTENT, relative_path=CONTEXT.src_workspace) - await repo.save_file(filename=ctx.test_filename, content=TEST_CONTENT, relative_path=TEST_CODES_FILE_REPO) + await project_repo.with_src_path(CONTEXT.src_workspace).srcs.save(filename=ctx.code_filename, content=CODE_CONTENT) + await project_repo.tests.save(filename=ctx.test_filename, content=TEST_CONTENT) output_data = RunCodeResult( stdout=";", stderr="", @@ -141,9 +141,7 @@ async def test_debug_error(): "----------------------------------------------------------------------\n" "Ran 5 tests in 0.007s\n\nFAILED (failures=1)\n;\n", ) - await repo.save_file( - filename=ctx.output_filename, content=output_data.model_dump_json(), relative_path=TEST_OUTPUTS_FILE_REPO - ) + await project_repo.test_outputs.save(filename=ctx.output_filename, content=output_data.model_dump_json()) debug_error = DebugError(i_context=ctx) rsp = await debug_error.run() diff --git a/tests/metagpt/actions/test_design_api.py b/tests/metagpt/actions/test_design_api.py index 027f7ca20..fc231e578 100644 --- a/tests/metagpt/actions/test_design_api.py +++ b/tests/metagpt/actions/test_design_api.py @@ -9,18 +9,18 @@ import pytest from metagpt.actions.design_api import WriteDesign -from metagpt.const import PRDS_FILE_REPO from metagpt.context import CONTEXT from metagpt.logs import logger from metagpt.schema import Message +from metagpt.utils.project_repo import ProjectRepo @pytest.mark.asyncio async def test_design_api(): inputs = ["我们需要一个音乐播放器，它应该有播放、暂停、上一曲、下一曲等功能。"] # PRD_SAMPLE - repo = CONTEXT.file_repo + project_repo = ProjectRepo(CONTEXT.git_repo) for prd in inputs: - await repo.save_file("new_prd.txt", content=prd, relative_path=PRDS_FILE_REPO) + await project_repo.docs.prd.save(filename="new_prd.txt", content=prd) design_api = WriteDesign() diff --git a/tests/metagpt/actions/test_prepare_documents.py b/tests/metagpt/actions/test_prepare_documents.py index 317683113..a72019c5c 100644 --- a/tests/metagpt/actions/test_prepare_documents.py +++ b/tests/metagpt/actions/test_prepare_documents.py @@ -9,9 +9,10 @@ import pytest from metagpt.actions.prepare_documents import PrepareDocuments -from metagpt.const import DOCS_FILE_REPO, REQUIREMENT_FILENAME +from metagpt.const import REQUIREMENT_FILENAME from metagpt.context import CONTEXT from metagpt.schema import Message +from metagpt.utils.project_repo import ProjectRepo @pytest.mark.asyncio @@ -24,6 +25,6 @@ async def test_prepare_documents(): await PrepareDocuments(context=CONTEXT).run(with_messages=[msg]) assert CONTEXT.git_repo - doc = await CONTEXT.file_repo.get_file(filename=REQUIREMENT_FILENAME, relative_path=DOCS_FILE_REPO) + doc = await ProjectRepo(CONTEXT.git_repo).docs.get(filename=REQUIREMENT_FILENAME) assert doc assert doc.content == msg.content diff --git a/tests/metagpt/actions/test_project_management.py b/tests/metagpt/actions/test_project_management.py index 1eadb49fb..9fd3b1721 100644 --- a/tests/metagpt/actions/test_project_management.py +++ b/tests/metagpt/actions/test_project_management.py @@ -9,17 +9,18 @@ import pytest from metagpt.actions.project_management import WriteTasks -from metagpt.const import PRDS_FILE_REPO, SYSTEM_DESIGN_FILE_REPO from metagpt.context import CONTEXT from metagpt.logs import logger from metagpt.schema import Message +from metagpt.utils.project_repo import ProjectRepo from tests.metagpt.actions.mock_json import DESIGN, PRD @pytest.mark.asyncio async def test_design_api(): - await CONTEXT.file_repo.save_file("1.txt", content=str(PRD), relative_path=PRDS_FILE_REPO) - await CONTEXT.file_repo.save_file("1.txt", content=str(DESIGN), relative_path=SYSTEM_DESIGN_FILE_REPO) + project_repo = ProjectRepo(CONTEXT.git_repo) + await project_repo.docs.prd.save("1.txt", content=str(PRD)) + await project_repo.docs.system_design.save("1.txt", content=str(DESIGN)) logger.info(CONTEXT.git_repo) action = WriteTasks() diff --git a/tests/metagpt/actions/test_rebuild_sequence_view.py b/tests/metagpt/actions/test_rebuild_sequence_view.py index 0511f0308..717aee964 100644 --- a/tests/metagpt/actions/test_rebuild_sequence_view.py +++ b/tests/metagpt/actions/test_rebuild_sequence_view.py @@ -15,6 +15,7 @@ from metagpt.context import CONTEXT from metagpt.llm import LLM from metagpt.utils.common import aread from metagpt.utils.git_repository import ChangeType +from metagpt.utils.project_repo import ProjectRepo @pytest.mark.asyncio @@ -22,12 +23,8 @@ async def test_rebuild(): # Mock data = await aread(filename=Path(__file__).parent / "../../data/graph_db/networkx.json") graph_db_filename = Path(CONTEXT.git_repo.workdir.name).with_suffix(".json") - repo = CONTEXT.file_repo - await repo.save_file( - filename=str(graph_db_filename), - relative_path=GRAPH_REPO_FILE_REPO, - content=data, - ) + project_repo = ProjectRepo(CONTEXT.git_repo) + await project_repo.docs.graph_repo.save(filename=str(graph_db_filename), content=data) CONTEXT.git_repo.add_change({f"{GRAPH_REPO_FILE_REPO}/{graph_db_filename}": ChangeType.UNTRACTED}) CONTEXT.git_repo.commit("commit1") @@ -35,8 +32,7 @@ async def test_rebuild(): name="RedBean", i_context=str(Path(__file__).parent.parent.parent.parent / "metagpt"), llm=LLM() ) await action.run() - graph_file_repo = CONTEXT.git_repo.new_file_repository(relative_path=GRAPH_REPO_FILE_REPO) - assert graph_file_repo.changed_files + assert project_repo.docs.graph_repo.changed_files @pytest.mark.parametrize( diff --git a/tests/metagpt/actions/test_research.py b/tests/metagpt/actions/test_research.py index dfbcce4ae..8c5ed0c7c 100644 --- a/tests/metagpt/actions/test_research.py +++ b/tests/metagpt/actions/test_research.py @@ -9,10 +9,12 @@ import pytest from metagpt.actions import research +from metagpt.tools import SearchEngineType +from metagpt.tools.search_engine import SearchEngine @pytest.mark.asyncio -async def test_collect_links(mocker): +async def test_collect_links(mocker, search_engine_mocker): async def mock_llm_ask(self, prompt: str, system_msgs): if "Please provide up to 2 necessary keywords" in prompt: return '["metagpt", "llm"]' @@ -26,13 +28,15 @@ async def test_collect_links(mocker): return "[1,2]" mocker.patch("metagpt.provider.base_llm.BaseLLM.aask", mock_llm_ask) - resp = await research.CollectLinks().run("The application of MetaGPT") + resp = await research.CollectLinks(search_engine=SearchEngine(SearchEngineType.DUCK_DUCK_GO)).run( + "The application of MetaGPT" + ) for i in ["MetaGPT use cases", "The roadmap of MetaGPT", "The function of MetaGPT", "What llm MetaGPT support"]: assert i in resp @pytest.mark.asyncio -async def test_collect_links_with_rank_func(mocker): +async def test_collect_links_with_rank_func(mocker, search_engine_mocker): rank_before = [] rank_after = [] url_per_query = 4 @@ -45,7 +49,9 @@ async def test_collect_links_with_rank_func(mocker): return results mocker.patch("metagpt.provider.base_llm.BaseLLM.aask", mock_collect_links_llm_ask) - resp = await research.CollectLinks(rank_func=rank_func).run("The application of MetaGPT") + resp = await research.CollectLinks( + search_engine=SearchEngine(SearchEngineType.DUCK_DUCK_GO), rank_func=rank_func + ).run("The application of MetaGPT") for x, y, z in zip(rank_before, rank_after, resp.values()): assert x[::-1] == y assert [i["link"] for i in y] == z diff --git a/tests/metagpt/actions/test_summarize_code.py b/tests/metagpt/actions/test_summarize_code.py index b617b59ae..88d432b5e 100644 --- a/tests/metagpt/actions/test_summarize_code.py +++ b/tests/metagpt/actions/test_summarize_code.py @@ -9,10 +9,10 @@ import pytest from metagpt.actions.summarize_code import SummarizeCode -from metagpt.const import SYSTEM_DESIGN_FILE_REPO, TASK_FILE_REPO from metagpt.context import CONTEXT from metagpt.logs import logger from metagpt.schema import CodeSummarizeContext +from metagpt.utils.project_repo import ProjectRepo DESIGN_CONTENT = """ {"Implementation approach": "To develop this snake game, we will use the Python language and choose the Pygame library. Pygame is an open-source Python module collection specifically designed for writing video games. It provides functionalities such as displaying images and playing sounds, making it suitable for creating intuitive and responsive user interfaces. We will ensure efficient game logic to prevent any delays during gameplay. The scoring system will be simple, with the snake gaining points for each food it eats. We will use Pygame's event handling system to implement pause and resume functionality, as well as high-score tracking. The difficulty will increase by speeding up the snake's movement. In the initial version, we will focus on single-player mode and consider adding multiplayer mode and customizable skins in future updates. Based on the new requirement, we will also add a moving obstacle that appears randomly. If the snake eats this obstacle, the game will end. If the snake does not eat the obstacle, it will disappear after 5 seconds. For this, we need to add mechanisms for obstacle generation, movement, and disappearance in the game logic.", "Project_name": "snake_game", "File list": ["main.py", "game.py", "snake.py", "food.py", "obstacle.py", "scoreboard.py", "constants.py", "assets/styles.css", "assets/index.html"], "Data structures and interfaces": "```mermaid\n classDiagram\n class Game{\n +int score\n +int speed\n +bool game_over\n +bool paused\n +Snake snake\n +Food food\n +Obstacle obstacle\n +Scoreboard scoreboard\n +start_game() void\n +pause_game() void\n +resume_game() void\n +end_game() void\n +increase_difficulty() void\n +update() void\n +render() void\n Game()\n }\n class Snake{\n +list body_parts\n +str direction\n +bool grow\n +move() void\n +grow() void\n +check_collision() bool\n Snake()\n }\n class Food{\n +tuple position\n +spawn() void\n Food()\n }\n class Obstacle{\n +tuple position\n +int lifetime\n +bool active\n +spawn() void\n +move() void\n +check_collision() bool\n +disappear() void\n Obstacle()\n }\n class Scoreboard{\n +int high_score\n +update_score(int) void\n +reset_score() void\n +load_high_score() void\n +save_high_score() void\n Scoreboard()\n }\n class Constants{\n }\n Game \"1\" -- \"1\" Snake: has\n Game \"1\" -- \"1\" Food: has\n Game \"1\" -- \"1\" Obstacle: has\n Game \"1\" -- \"1\" Scoreboard: has\n ```", "Program call flow": "```sequenceDiagram\n participant M as Main\n participant G as Game\n participant S as Snake\n participant F as Food\n participant O as Obstacle\n participant SB as Scoreboard\n M->>G: start_game()\n loop game loop\n G->>S: move()\n G->>S: check_collision()\n G->>F: spawn()\n G->>O: spawn()\n G->>O: move()\n G->>O: check_collision()\n G->>O: disappear()\n G->>SB: update_score(score)\n G->>G: update()\n G->>G: render()\n alt if paused\n M->>G: pause_game()\n M->>G: resume_game()\n end\n alt if game_over\n G->>M: end_game()\n end\n end\n```", "Anything UNCLEAR": "There is no need for further clarification as the requirements are already clear."} @@ -178,17 +178,22 @@ class Snake: @pytest.mark.asyncio async def test_summarize_code(): CONTEXT.src_workspace = CONTEXT.git_repo.workdir / "src" - await CONTEXT.file_repo.save_file(filename="1.json", relative_path=SYSTEM_DESIGN_FILE_REPO, content=DESIGN_CONTENT) - await CONTEXT.file_repo.save_file(filename="1.json", relative_path=TASK_FILE_REPO, content=TASK_CONTENT) - await CONTEXT.file_repo.save_file(filename="food.py", relative_path=CONTEXT.src_workspace, content=FOOD_PY) - await CONTEXT.file_repo.save_file(filename="game.py", relative_path=CONTEXT.src_workspace, content=GAME_PY) - await CONTEXT.file_repo.save_file(filename="main.py", relative_path=CONTEXT.src_workspace, content=MAIN_PY) - await CONTEXT.file_repo.save_file(filename="snake.py", relative_path=CONTEXT.src_workspace, content=SNAKE_PY) + project_repo = ProjectRepo(CONTEXT.git_repo) + await project_repo.docs.system_design.save(filename="1.json", content=DESIGN_CONTENT) + await project_repo.docs.task.save(filename="1.json", content=TASK_CONTENT) + await project_repo.with_src_path(CONTEXT.src_workspace).srcs.save(filename="food.py", content=FOOD_PY) + assert project_repo.srcs.workdir == CONTEXT.src_workspace + await project_repo.srcs.save(filename="game.py", content=GAME_PY) + await project_repo.srcs.save(filename="main.py", content=MAIN_PY) + await project_repo.srcs.save(filename="snake.py", content=SNAKE_PY) - src_file_repo = CONTEXT.git_repo.new_file_repository(relative_path=CONTEXT.src_workspace) - all_files = src_file_repo.all_files + all_files = project_repo.srcs.all_files ctx = CodeSummarizeContext(design_filename="1.json", task_filename="1.json", codes_filenames=all_files) action = SummarizeCode(i_context=ctx) rsp = await action.run() assert rsp logger.info(rsp) + + +if __name__ == "__main__": + pytest.main([__file__, "-s"]) diff --git a/tests/metagpt/actions/test_write_code.py b/tests/metagpt/actions/test_write_code.py index 792b89d90..96d982c69 100644 --- a/tests/metagpt/actions/test_write_code.py +++ b/tests/metagpt/actions/test_write_code.py @@ -12,26 +12,24 @@ from pathlib import Path import pytest from metagpt.actions.write_code import WriteCode -from metagpt.const import ( - CODE_SUMMARIES_FILE_REPO, - SYSTEM_DESIGN_FILE_REPO, - TASK_FILE_REPO, - TEST_OUTPUTS_FILE_REPO, -) from metagpt.context import CONTEXT from metagpt.llm import LLM from metagpt.logs import logger from metagpt.schema import CodingContext, Document from metagpt.utils.common import aread +from metagpt.utils.project_repo import ProjectRepo from tests.metagpt.actions.mock_markdown import TASKS_2, WRITE_CODE_PROMPT_SAMPLE @pytest.mark.asyncio async def test_write_code(): - ccontext = CodingContext( + # Prerequisites + CONTEXT.src_workspace = CONTEXT.git_repo.workdir / "writecode" + + coding_ctx = CodingContext( filename="task_filename.py", design_doc=Document(content="设计一个名为'add'的函数，该函数接受两个整数作为输入，并返回它们的和。") ) - doc = Document(content=ccontext.model_dump_json()) + doc = Document(content=coding_ctx.model_dump_json()) write_code = WriteCode(i_context=doc) code = await write_code.run() @@ -55,33 +53,28 @@ async def test_write_code_deps(): # Prerequisites CONTEXT.src_workspace = CONTEXT.git_repo.workdir / "snake1/snake1" demo_path = Path(__file__).parent / "../../data/demo_project" - await CONTEXT.file_repo.save_file( - filename="test_game.py.json", - content=await aread(str(demo_path / "test_game.py.json")), - relative_path=TEST_OUTPUTS_FILE_REPO, + project_repo = ProjectRepo(CONTEXT.git_repo) + await project_repo.test_outputs.save( + filename="test_game.py.json", content=await aread(str(demo_path / "test_game.py.json")) ) - await CONTEXT.file_repo.save_file( + await project_repo.docs.code_summary.save( filename="20231221155954.json", content=await aread(str(demo_path / "code_summaries.json")), - relative_path=CODE_SUMMARIES_FILE_REPO, ) - await CONTEXT.file_repo.save_file( + await project_repo.docs.system_design.save( filename="20231221155954.json", content=await aread(str(demo_path / "system_design.json")), - relative_path=SYSTEM_DESIGN_FILE_REPO, ) - await CONTEXT.file_repo.save_file( - filename="20231221155954.json", content=await aread(str(demo_path / "tasks.json")), relative_path=TASK_FILE_REPO + await project_repo.docs.task.save( + filename="20231221155954.json", content=await aread(str(demo_path / "tasks.json")) ) - await CONTEXT.file_repo.save_file( - filename="main.py", content='if __name__ == "__main__":\nmain()', relative_path=CONTEXT.src_workspace + await project_repo.with_src_path(CONTEXT.src_workspace).srcs.save( + filename="main.py", content='if __name__ == "__main__":\nmain()' ) ccontext = CodingContext( filename="game.py", - design_doc=await CONTEXT.file_repo.get_file( - filename="20231221155954.json", relative_path=SYSTEM_DESIGN_FILE_REPO - ), - task_doc=await CONTEXT.file_repo.get_file(filename="20231221155954.json", relative_path=TASK_FILE_REPO), + design_doc=await project_repo.docs.system_design.get(filename="20231221155954.json"), + task_doc=await project_repo.docs.task.get(filename="20231221155954.json"), code_doc=Document(filename="game.py", content="", root_path="snake1"), ) coding_doc = Document(root_path="snake1", filename="game.py", content=ccontext.json()) diff --git a/tests/metagpt/actions/test_write_prd.py b/tests/metagpt/actions/test_write_prd.py index 1a897ac2e..d854cd8d2 100644 --- a/tests/metagpt/actions/test_write_prd.py +++ b/tests/metagpt/actions/test_write_prd.py @@ -9,21 +9,22 @@ import pytest from metagpt.actions import UserRequirement, WritePRD -from metagpt.const import DOCS_FILE_REPO, PRDS_FILE_REPO, REQUIREMENT_FILENAME +from metagpt.const import REQUIREMENT_FILENAME from metagpt.context import CONTEXT from metagpt.logs import logger from metagpt.roles.product_manager import ProductManager from metagpt.roles.role import RoleReactMode from metagpt.schema import Message from metagpt.utils.common import any_to_str +from metagpt.utils.project_repo import ProjectRepo @pytest.mark.asyncio async def test_write_prd(new_filename): product_manager = ProductManager() requirements = "开发一个基于大语言模型与私有知识库的搜索引擎，希望可以基于大语言模型进行搜索总结" - repo = CONTEXT.file_repo - await repo.save_file(filename=REQUIREMENT_FILENAME, content=requirements, relative_path=DOCS_FILE_REPO) + project_repo = ProjectRepo(CONTEXT.git_repo) + await project_repo.docs.save(filename=REQUIREMENT_FILENAME, content=requirements) product_manager.rc.react_mode = RoleReactMode.BY_ORDER prd = await product_manager.run(Message(content=requirements, cause_by=UserRequirement)) assert prd.cause_by == any_to_str(WritePRD) @@ -33,7 +34,7 @@ async def test_write_prd(new_filename): # Assert the prd is not None or empty assert prd is not None assert prd.content != "" - assert CONTEXT.git_repo.new_file_repository(relative_path=PRDS_FILE_REPO).changed_files + assert ProjectRepo(product_manager.context.git_repo).docs.prd.changed_files if __name__ == "__main__": diff --git a/tests/metagpt/learn/test_text_to_embedding.py b/tests/metagpt/learn/test_text_to_embedding.py index cbc8ddf18..8891960c1 100644 --- a/tests/metagpt/learn/test_text_to_embedding.py +++ b/tests/metagpt/learn/test_text_to_embedding.py @@ -6,19 +6,32 @@ @File : test_text_to_embedding.py @Desc : Unit tests. """ +import json +from pathlib import Path import pytest from metagpt.config2 import config from metagpt.learn.text_to_embedding import text_to_embedding +from metagpt.utils.common import aread @pytest.mark.asyncio -async def test_text_to_embedding(): - # Prerequisites - assert config.get_openai_llm() +async def test_text_to_embedding(mocker): + # mock + mock_post = mocker.patch("aiohttp.ClientSession.post") + mock_response = mocker.AsyncMock() + mock_response.status = 200 + data = await aread(Path(__file__).parent / "../../data/openai/embedding.json") + mock_response.json.return_value = json.loads(data) + mock_post.return_value.__aenter__.return_value = mock_response + type(config.get_openai_llm()).proxy = mocker.PropertyMock(return_value="http://mock.proxy") - v = await text_to_embedding(text="Panda emoji") + # Prerequisites + assert config.get_openai_llm().api_key + assert config.get_openai_llm().proxy + + v = await text_to_embedding(text="Panda emoji", config=config) assert len(v.data) > 0 diff --git a/tests/metagpt/learn/test_text_to_image.py b/tests/metagpt/learn/test_text_to_image.py index 7c133149d..167a35891 100644 --- a/tests/metagpt/learn/test_text_to_image.py +++ b/tests/metagpt/learn/test_text_to_image.py @@ -6,9 +6,11 @@ @File : test_text_to_image.py @Desc : Unit tests. """ +import base64 - +import openai import pytest +from pydantic import BaseModel from metagpt.config2 import Config from metagpt.learn.text_to_image import text_to_image @@ -27,15 +29,30 @@ async def test_text_to_image(mocker): config = Config.default() assert config.METAGPT_TEXT_TO_IMAGE_MODEL_URL - data = await text_to_image( - "Panda emoji", size_type="512x512", model_url=config.METAGPT_TEXT_TO_IMAGE_MODEL_URL, config=config - ) + data = await text_to_image("Panda emoji", size_type="512x512", config=config) assert "base64" in data or "http" in data @pytest.mark.asyncio -async def test_openai_text_to_image(): +async def test_openai_text_to_image(mocker): + # mocker + mock_url = mocker.Mock() + mock_url.url.return_value = "http://mock.com/0.png" + + class _MockData(BaseModel): + data: list + + mock_data = _MockData(data=[mock_url]) + mocker.patch.object(openai.resources.images.AsyncImages, "generate", return_value=mock_data) + mock_post = mocker.patch("aiohttp.ClientSession.get") + mock_response = mocker.AsyncMock() + mock_response.status = 200 + mock_response.read.return_value = base64.b64encode(b"success") + mock_post.return_value.__aenter__.return_value = mock_response + mocker.patch.object(S3, "cache", return_value="http://mock.s3.com/0.png") + config = Config.default() + config.METAGPT_TEXT_TO_IMAGE_MODEL_URL = None assert config.get_openai_llm() data = await text_to_image("Panda emoji", size_type="512x512", config=config) diff --git a/tests/metagpt/learn/test_text_to_speech.py b/tests/metagpt/learn/test_text_to_speech.py index 41611171c..38e051cc6 100644 --- a/tests/metagpt/learn/test_text_to_speech.py +++ b/tests/metagpt/learn/test_text_to_speech.py @@ -8,43 +8,64 @@ """ import pytest +from azure.cognitiveservices.speech import ResultReason, SpeechSynthesizer -from metagpt.config2 import config +from metagpt.config2 import Config from metagpt.learn.text_to_speech import text_to_speech +from metagpt.tools.iflytek_tts import IFlyTekTTS +from metagpt.utils.s3 import S3 @pytest.mark.asyncio -async def test_text_to_speech(): +async def test_azure_text_to_speech(mocker): + # mock + config = Config.default() + config.IFLYTEK_API_KEY = None + config.IFLYTEK_API_SECRET = None + config.IFLYTEK_APP_ID = None + mock_result = mocker.Mock() + mock_result.audio_data = b"mock audio data" + mock_result.reason = ResultReason.SynthesizingAudioCompleted + mock_data = mocker.Mock() + mock_data.get.return_value = mock_result + mocker.patch.object(SpeechSynthesizer, "speak_ssml_async", return_value=mock_data) + mocker.patch.object(S3, "cache", return_value="http://mock.s3.com/1.wav") + + # Prerequisites + assert not config.IFLYTEK_APP_ID + assert not config.IFLYTEK_API_KEY + assert not config.IFLYTEK_API_SECRET + assert config.AZURE_TTS_SUBSCRIPTION_KEY and config.AZURE_TTS_SUBSCRIPTION_KEY != "YOUR_API_KEY" + assert config.AZURE_TTS_REGION + + config.copy() + # test azure + data = await text_to_speech("panda emoji", config=config) + assert "base64" in data or "http" in data + + +@pytest.mark.asyncio +async def test_iflytek_text_to_speech(mocker): + # mock + config = Config.default() + config.AZURE_TTS_SUBSCRIPTION_KEY = None + config.AZURE_TTS_REGION = None + mocker.patch.object(IFlyTekTTS, "synthesize_speech", return_value=None) + mock_data = mocker.AsyncMock() + mock_data.read.return_value = b"mock iflytek" + mock_reader = mocker.patch("aiofiles.open") + mock_reader.return_value.__aenter__.return_value = mock_data + mocker.patch.object(S3, "cache", return_value="http://mock.s3.com/1.mp3") + # Prerequisites assert config.IFLYTEK_APP_ID assert config.IFLYTEK_API_KEY assert config.IFLYTEK_API_SECRET - assert config.AZURE_TTS_SUBSCRIPTION_KEY and config.AZURE_TTS_SUBSCRIPTION_KEY != "YOUR_API_KEY" - assert config.AZURE_TTS_REGION + assert not config.AZURE_TTS_SUBSCRIPTION_KEY or config.AZURE_TTS_SUBSCRIPTION_KEY == "YOUR_API_KEY" + assert not config.AZURE_TTS_REGION - i = config.copy() # test azure - data = await text_to_speech( - "panda emoji", - subscription_key=i.AZURE_TTS_SUBSCRIPTION_KEY, - region=i.AZURE_TTS_REGION, - iflytek_api_key=i.IFLYTEK_API_KEY, - iflytek_api_secret=i.IFLYTEK_API_SECRET, - iflytek_app_id=i.IFLYTEK_APP_ID, - ) - assert "base64" in data or "http" in data - - # test iflytek - ## Mock session env - i.AZURE_TTS_SUBSCRIPTION_KEY = "" - data = await text_to_speech( - "panda emoji", - subscription_key=i.AZURE_TTS_SUBSCRIPTION_KEY, - region=i.AZURE_TTS_REGION, - iflytek_api_key=i.IFLYTEK_API_KEY, - iflytek_api_secret=i.IFLYTEK_API_SECRET, - iflytek_app_id=i.IFLYTEK_APP_ID, - ) + data = await text_to_speech("panda emoji", config=config) assert "base64" in data or "http" in data diff --git a/tests/metagpt/roles/test_assistant.py b/tests/metagpt/roles/test_assistant.py index 4ef44d77a..b9740a112 100644 --- a/tests/metagpt/roles/test_assistant.py +++ b/tests/metagpt/roles/test_assistant.py @@ -20,7 +20,10 @@ from metagpt.utils.common import any_to_str @pytest.mark.asyncio -async def test_run(): +async def test_run(mocker): + # mock + mocker.patch("metagpt.learn.text_to_image", return_value="http://mock.com/1.png") + CONTEXT.kwargs.language = "Chinese" class Input(BaseModel): @@ -65,7 +68,7 @@ async def test_run(): "cause_by": any_to_str(SkillAction), }, ] - CONTEXT.kwargs.agent_skills = [ + agent_skills = [ {"id": 1, "name": "text_to_speech", "type": "builtin", "config": {}, "enabled": True}, {"id": 2, "name": "text_to_image", "type": "builtin", "config": {}, "enabled": True}, {"id": 3, "name": "ai_call", "type": "builtin", "config": {}, "enabled": True}, @@ -77,9 +80,11 @@ async def test_run(): for i in inputs: seed = Input(**i) - CONTEXT.kwargs.language = seed.language - CONTEXT.kwargs.agent_description = seed.agent_description role = Assistant(language="Chinese") + role.context.kwargs.language = seed.language + role.context.kwargs.agent_description = seed.agent_description + role.context.kwargs.agent_skills = agent_skills + role.memory = seed.memory # Restore historical conversation content. while True: has_action = await role.think() @@ -112,6 +117,7 @@ async def test_run(): @pytest.mark.asyncio async def test_memory(memory): role = Assistant() + role.context.kwargs.agent_skills = [] role.load_memory(memory) val = role.get_memory() diff --git a/tests/metagpt/roles/test_engineer.py b/tests/metagpt/roles/test_engineer.py index 710e74b8f..17b94828c 100644 --- a/tests/metagpt/roles/test_engineer.py +++ b/tests/metagpt/roles/test_engineer.py @@ -8,23 +8,25 @@ distribution feature for message handling. """ import json +import uuid from pathlib import Path import pytest from metagpt.actions import WriteCode, WriteTasks from metagpt.const import ( - PRDS_FILE_REPO, + DEFAULT_WORKSPACE_ROOT, REQUIREMENT_FILENAME, SYSTEM_DESIGN_FILE_REPO, TASK_FILE_REPO, ) -from metagpt.context import CONTEXT +from metagpt.context import CONTEXT, Context from metagpt.logs import logger from metagpt.roles.engineer import Engineer from metagpt.schema import CodingContext, Message from metagpt.utils.common import CodeParser, any_to_name, any_to_str, aread, awrite -from metagpt.utils.git_repository import ChangeType +from metagpt.utils.git_repository import ChangeType, GitRepository +from metagpt.utils.project_repo import ProjectRepo from tests.metagpt.roles.mock import STRS_FOR_PARSING, TASKS, MockMessages @@ -32,20 +34,18 @@ from tests.metagpt.roles.mock import STRS_FOR_PARSING, TASKS, MockMessages async def test_engineer(): # Prerequisites rqno = "20231221155954.json" - await CONTEXT.file_repo.save_file(REQUIREMENT_FILENAME, content=MockMessages.req.content) - await CONTEXT.file_repo.save_file(rqno, relative_path=PRDS_FILE_REPO, content=MockMessages.prd.content) - await CONTEXT.file_repo.save_file( - rqno, relative_path=SYSTEM_DESIGN_FILE_REPO, content=MockMessages.system_design.content - ) - await CONTEXT.file_repo.save_file(rqno, relative_path=TASK_FILE_REPO, content=MockMessages.json_tasks.content) + project_repo = ProjectRepo(CONTEXT.git_repo) + await project_repo.save(REQUIREMENT_FILENAME, content=MockMessages.req.content) + await project_repo.docs.prd.save(rqno, content=MockMessages.prd.content) + await project_repo.docs.system_design.save(rqno, content=MockMessages.system_design.content) + await project_repo.docs.task.save(rqno, content=MockMessages.json_tasks.content) engineer = Engineer() rsp = await engineer.run(Message(content="", cause_by=WriteTasks)) logger.info(rsp) assert rsp.cause_by == any_to_str(WriteCode) - src_file_repo = CONTEXT.git_repo.new_file_repository(CONTEXT.src_workspace) - assert src_file_repo.changed_files + assert project_repo.with_src_path(CONTEXT.src_workspace).srcs.changed_files def test_parse_str(): @@ -114,48 +114,50 @@ def test_todo(): @pytest.mark.asyncio async def test_new_coding_context(): # Prerequisites + context = Context() + context.git_repo = GitRepository(local_path=DEFAULT_WORKSPACE_ROOT / f"unittest/{uuid.uuid4().hex}") demo_path = Path(__file__).parent / "../../data/demo_project" deps = json.loads(await aread(demo_path / "dependencies.json")) - dependency = await CONTEXT.git_repo.get_dependency() + dependency = await context.git_repo.get_dependency() for k, v in deps.items(): await dependency.update(k, set(v)) data = await aread(demo_path / "system_design.json") rqno = "20231221155954.json" - await awrite(CONTEXT.git_repo.workdir / SYSTEM_DESIGN_FILE_REPO / rqno, data) + await awrite(context.git_repo.workdir / SYSTEM_DESIGN_FILE_REPO / rqno, data) data = await aread(demo_path / "tasks.json") - await awrite(CONTEXT.git_repo.workdir / TASK_FILE_REPO / rqno, data) + await awrite(context.git_repo.workdir / TASK_FILE_REPO / rqno, data) - CONTEXT.src_workspace = Path(CONTEXT.git_repo.workdir) / "game_2048" - src_file_repo = CONTEXT.git_repo.new_file_repository(relative_path=CONTEXT.src_workspace) - task_file_repo = CONTEXT.git_repo.new_file_repository(relative_path=TASK_FILE_REPO) - design_file_repo = CONTEXT.git_repo.new_file_repository(relative_path=SYSTEM_DESIGN_FILE_REPO) + context.src_workspace = Path(context.git_repo.workdir) / "game_2048" - filename = "game.py" - ctx_doc = await Engineer._new_coding_doc( - filename=filename, - src_file_repo=src_file_repo, - task_file_repo=task_file_repo, - design_file_repo=design_file_repo, - dependency=dependency, - ) - assert ctx_doc - assert ctx_doc.filename == filename - assert ctx_doc.content - ctx = CodingContext.model_validate_json(ctx_doc.content) - assert ctx.filename == filename - assert ctx.design_doc - assert ctx.design_doc.content - assert ctx.task_doc - assert ctx.task_doc.content - assert ctx.code_doc + try: + filename = "game.py" + engineer = Engineer(context=context) + ctx_doc = await engineer._new_coding_doc( + filename=filename, + dependency=dependency, + ) + assert ctx_doc + assert ctx_doc.filename == filename + assert ctx_doc.content + ctx = CodingContext.model_validate_json(ctx_doc.content) + assert ctx.filename == filename + assert ctx.design_doc + assert ctx.design_doc.content + assert ctx.task_doc + assert ctx.task_doc.content + assert ctx.code_doc - CONTEXT.git_repo.add_change({f"{TASK_FILE_REPO}/{rqno}": ChangeType.UNTRACTED}) - CONTEXT.git_repo.commit("mock env") - await src_file_repo.save(filename=filename, content="content") - role = Engineer() - assert not role.code_todos - await role._new_code_actions() - assert role.code_todos + context.git_repo.add_change({f"{TASK_FILE_REPO}/{rqno}": ChangeType.UNTRACTED}) + context.git_repo.commit("mock env") + await ProjectRepo(context.git_repo).with_src_path(context.src_workspace).srcs.save( + filename=filename, content="content" + ) + role = Engineer(context=context) + assert not role.code_todos + await role._new_code_actions() + assert role.code_todos + finally: + context.git_repo.delete_repository() if __name__ == "__main__": diff --git a/tests/metagpt/roles/test_researcher.py b/tests/metagpt/roles/test_researcher.py index 891befa38..7d0ec450d 100644 --- a/tests/metagpt/roles/test_researcher.py +++ b/tests/metagpt/roles/test_researcher.py @@ -4,7 +4,10 @@ from tempfile import TemporaryDirectory import pytest +from metagpt.actions.research import CollectLinks from metagpt.roles import researcher +from metagpt.tools import SearchEngineType +from metagpt.tools.search_engine import SearchEngine async def mock_llm_ask(self, prompt: str, system_msgs): @@ -25,12 +28,16 @@ async def mock_llm_ask(self, prompt: str, system_msgs): @pytest.mark.asyncio -async def test_researcher(mocker): +async def test_researcher(mocker, search_engine_mocker): with TemporaryDirectory() as dirname: topic = "dataiku vs. datarobot" mocker.patch("metagpt.provider.base_llm.BaseLLM.aask", mock_llm_ask) researcher.RESEARCH_PATH = Path(dirname) - await researcher.Researcher().run(topic) + role = researcher.Researcher() + for i in role.actions: + if isinstance(i, CollectLinks): + i.search_engine = SearchEngine(SearchEngineType.DUCK_DUCK_GO) + await role.run(topic) assert (researcher.RESEARCH_PATH / f"{topic}.md").read_text().startswith("# Research Report") diff --git a/tests/metagpt/roles/test_teacher.py b/tests/metagpt/roles/test_teacher.py index 8bd37f482..83a7e382a 100644 --- a/tests/metagpt/roles/test_teacher.py +++ b/tests/metagpt/roles/test_teacher.py @@ -8,15 +8,14 @@ from typing import Dict, Optional import pytest -from pydantic import BaseModel +from pydantic import BaseModel, Field -from metagpt.context import CONTEXT +from metagpt.context import Context from metagpt.roles.teacher import Teacher from metagpt.schema import Message @pytest.mark.asyncio -@pytest.mark.skip async def test_init(): class Inputs(BaseModel): name: str @@ -30,6 +29,7 @@ async def test_init(): expect_goal: str expect_constraints: str expect_desc: str + exclude: list = Field(default_factory=list) inputs = [ { @@ -44,6 +44,7 @@ async def test_init(): "kwargs": {}, "desc": "aaa{language}", "expect_desc": "aaa{language}", + "exclude": ["language", "key1", "something_big", "teaching_language"], }, { "name": "Lily{language}", @@ -57,13 +58,21 @@ async def test_init(): "kwargs": {"language": "CN", "key1": "HaHa", "something_big": "sleep", "teaching_language": "EN"}, "desc": "aaa{language}", "expect_desc": "aaaCN", + "language": "CN", + "teaching_language": "EN", }, ] for i in inputs: seed = Inputs(**i) + context = Context() + for k in seed.exclude: + context.kwargs.set(k, None) + for k, v in seed.kwargs.items(): + context.kwargs.set(k, v) teacher = Teacher( + context=context, name=seed.name, profile=seed.profile, goal=seed.goal, @@ -97,8 +106,6 @@ async def test_new_file_name(): @pytest.mark.asyncio async def test_run(): - CONTEXT.kwargs.language = "Chinese" - CONTEXT.kwargs.teaching_language = "English" lesson = """ UNIT 1 Making New Friends TOPIC 1 Welcome to China! @@ -142,7 +149,10 @@ async def test_run(): 3c Match the big letters with the small ones. Then write them on the lines. """ - teacher = Teacher() + context = Context() + context.kwargs.language = "Chinese" + context.kwargs.teaching_language = "English" + teacher = Teacher(context=context) rsp = await teacher.run(Message(content=lesson)) assert rsp diff --git a/tests/metagpt/tools/test_azure_tts.py b/tests/metagpt/tools/test_azure_tts.py index e856d3b27..74d23e439 100644 --- a/tests/metagpt/tools/test_azure_tts.py +++ b/tests/metagpt/tools/test_azure_tts.py @@ -7,21 +7,31 @@ @Modified By: mashenquan, 2023-8-9, add more text formatting options @Modified By: mashenquan, 2023-8-17, move to `tools` folder. """ +from pathlib import Path import pytest -from azure.cognitiveservices.speech import ResultReason +from azure.cognitiveservices.speech import ResultReason, SpeechSynthesizer from metagpt.config2 import config from metagpt.tools.azure_tts import AzureTTS @pytest.mark.asyncio -async def test_azure_tts(): +async def test_azure_tts(mocker): + # mock + mock_result = mocker.Mock() + mock_result.audio_data = b"mock audio data" + mock_result.reason = ResultReason.SynthesizingAudioCompleted + mock_data = mocker.Mock() + mock_data.get.return_value = mock_result + mocker.patch.object(SpeechSynthesizer, "speak_ssml_async", return_value=mock_data) + mocker.patch.object(Path, "exists", return_value=True) + # Prerequisites assert config.AZURE_TTS_SUBSCRIPTION_KEY and config.AZURE_TTS_SUBSCRIPTION_KEY != "YOUR_API_KEY" assert config.AZURE_TTS_REGION - azure_tts = AzureTTS(subscription_key="", region="") + azure_tts = AzureTTS(subscription_key=config.AZURE_TTS_SUBSCRIPTION_KEY, region=config.AZURE_TTS_REGION) text = """ 女儿看见父亲走了进来，问道： diff --git a/tests/metagpt/tools/test_iflytek_tts.py b/tests/metagpt/tools/test_iflytek_tts.py index 18af0a723..8e4c0cf54 100644 --- a/tests/metagpt/tools/test_iflytek_tts.py +++ b/tests/metagpt/tools/test_iflytek_tts.py @@ -7,12 +7,22 @@ """ import pytest -from metagpt.config2 import config -from metagpt.tools.iflytek_tts import oas3_iflytek_tts +from metagpt.config2 import Config +from metagpt.tools.iflytek_tts import IFlyTekTTS, oas3_iflytek_tts @pytest.mark.asyncio -async def test_tts(): +async def test_iflytek_tts(mocker): + # mock + config = Config.default() + config.AZURE_TTS_SUBSCRIPTION_KEY = None + config.AZURE_TTS_REGION = None + mocker.patch.object(IFlyTekTTS, "synthesize_speech", return_value=None) + mock_data = mocker.AsyncMock() + mock_data.read.return_value = b"mock iflytek" + mock_reader = mocker.patch("aiofiles.open") + mock_reader.return_value.__aenter__.return_value = mock_data + # Prerequisites assert config.IFLYTEK_APP_ID assert config.IFLYTEK_API_KEY diff --git a/tests/metagpt/tools/test_openai_text_to_embedding.py b/tests/metagpt/tools/test_openai_text_to_embedding.py index 58c38d480..047206d48 100644 --- a/tests/metagpt/tools/test_openai_text_to_embedding.py +++ b/tests/metagpt/tools/test_openai_text_to_embedding.py @@ -5,19 +5,35 @@ @Author : mashenquan @File : test_openai_text_to_embedding.py """ +import json +from pathlib import Path import pytest from metagpt.config2 import config from metagpt.tools.openai_text_to_embedding import oas3_openai_text_to_embedding +from metagpt.utils.common import aread @pytest.mark.asyncio -async def test_embedding(): - # Prerequisites - assert config.get_openai_llm() +async def test_embedding(mocker): + # mock + mock_post = mocker.patch("aiohttp.ClientSession.post") + mock_response = mocker.AsyncMock() + mock_response.status = 200 + data = await aread(Path(__file__).parent / "../../data/openai/embedding.json") + mock_response.json.return_value = json.loads(data) + mock_post.return_value.__aenter__.return_value = mock_response + type(config.get_openai_llm()).proxy = mocker.PropertyMock(return_value="http://mock.proxy") - result = await oas3_openai_text_to_embedding("Panda emoji") + # Prerequisites + llm_config = config.get_openai_llm() + assert llm_config + assert llm_config.proxy + + result = await oas3_openai_text_to_embedding( + "Panda emoji", openai_api_key=llm_config.api_key, proxy=llm_config.proxy + ) assert result assert result.model assert len(result.data) > 0 diff --git a/tests/metagpt/tools/test_openai_text_to_image.py b/tests/metagpt/tools/test_openai_text_to_image.py index 1a1c9540f..3f9169ddd 100644 --- a/tests/metagpt/tools/test_openai_text_to_image.py +++ b/tests/metagpt/tools/test_openai_text_to_image.py @@ -5,22 +5,44 @@ @Author : mashenquan @File : test_openai_text_to_image.py """ +import base64 +import openai import pytest +from pydantic import BaseModel from metagpt.config2 import config +from metagpt.llm import LLM from metagpt.tools.openai_text_to_image import ( OpenAIText2Image, oas3_openai_text_to_image, ) +from metagpt.utils.s3 import S3 @pytest.mark.asyncio -async def test_draw(): - # Prerequisites - assert config.get_openai_llm() +async def test_draw(mocker): + # mock + mock_url = mocker.Mock() + mock_url.url.return_value = "http://mock.com/0.png" - binary_data = await oas3_openai_text_to_image("Panda emoji") + class _MockData(BaseModel): + data: list + + mock_data = _MockData(data=[mock_url]) + mocker.patch.object(openai.resources.images.AsyncImages, "generate", return_value=mock_data) + mock_post = mocker.patch("aiohttp.ClientSession.get") + mock_response = mocker.AsyncMock() + mock_response.status = 200 + mock_response.read.return_value = base64.b64encode(b"success") + mock_post.return_value.__aenter__.return_value = mock_response + mocker.patch.object(S3, "cache", return_value="http://mock.s3.com/0.png") + + # Prerequisites + llm_config = config.get_openai_llm() + assert llm_config + + binary_data = await oas3_openai_text_to_image("Panda emoji", llm=LLM(llm_config=llm_config)) assert binary_data diff --git a/tests/metagpt/tools/test_search_engine.py b/tests/metagpt/tools/test_search_engine.py index 1cdecb3e9..966f53a38 100644 --- a/tests/metagpt/tools/test_search_engine.py +++ b/tests/metagpt/tools/test_search_engine.py @@ -7,20 +7,15 @@ """ from __future__ import annotations -import json -from pathlib import Path from typing import Callable import pytest -import tests.data.search from metagpt.config2 import config from metagpt.logs import logger from metagpt.tools import SearchEngineType from metagpt.tools.search_engine import SearchEngine -search_cache_path = Path(tests.data.search.__path__[0]) - class MockSearchEnine: async def run(self, query: str, max_results: int = 8, as_string: bool = True) -> str | list[dict[str, str]]: @@ -46,24 +41,28 @@ class MockSearchEnine: (SearchEngineType.CUSTOM_ENGINE, MockSearchEnine().run, 6, False), ], ) -async def test_search_engine(search_engine_type, run_func: Callable, max_results: int, as_string: bool, aiohttp_mocker): +async def test_search_engine( + search_engine_type, + run_func: Callable, + max_results: int, + as_string: bool, + search_engine_mocker, +): # Prerequisites - cache_json_path = None - # FIXME: 不能使用全局的config，而是要自己实例化对应的config + search_engine_config = {} + if search_engine_type is SearchEngineType.SERPAPI_GOOGLE: assert config.search - cache_json_path = search_cache_path / f"serpapi-metagpt-{max_results}.json" + search_engine_config["serpapi_api_key"] = "mock-serpapi-key" elif search_engine_type is SearchEngineType.DIRECT_GOOGLE: assert config.search + search_engine_config["google_api_key"] = "mock-google-key" + search_engine_config["google_cse_id"] = "mock-google-cse" elif search_engine_type is SearchEngineType.SERPER_GOOGLE: assert config.search - cache_json_path = search_cache_path / f"serper-metagpt-{max_results}.json" + search_engine_config["serper_api_key"] = "mock-serper-key" - if cache_json_path: - with open(cache_json_path) as f: - data = json.load(f) - aiohttp_mocker.set_json(data) - search_engine = SearchEngine(search_engine_type, run_func) + search_engine = SearchEngine(search_engine_type, run_func, **search_engine_config) rsp = await search_engine.run("metagpt", max_results, as_string) logger.info(rsp) if as_string: diff --git a/tests/metagpt/tools/test_web_browser_engine_playwright.py b/tests/metagpt/tools/test_web_browser_engine_playwright.py index 053f1782d..0e838a2f8 100644 --- a/tests/metagpt/tools/test_web_browser_engine_playwright.py +++ b/tests/metagpt/tools/test_web_browser_engine_playwright.py @@ -22,8 +22,8 @@ async def test_scrape_web_page(browser_type, use_proxy, kwagrs, url, urls, proxy global_proxy = config.proxy try: if use_proxy: - server, proxy = await proxy - config.proxy = proxy + server, proxy_url = await proxy() + config.proxy = proxy_url browser = web_browser_engine_playwright.PlaywrightWrapper(browser_type=browser_type, **kwagrs) result = await browser.run(url) assert isinstance(result, WebPage) diff --git a/tests/metagpt/tools/test_web_browser_engine_selenium.py b/tests/metagpt/tools/test_web_browser_engine_selenium.py index 8dcd006f3..e38905b85 100644 --- a/tests/metagpt/tools/test_web_browser_engine_selenium.py +++ b/tests/metagpt/tools/test_web_browser_engine_selenium.py @@ -25,8 +25,8 @@ async def test_scrape_web_page(browser_type, use_proxy, url, urls, proxy, capfd) global_proxy = config.proxy try: if use_proxy: - server, proxy = await proxy - config.proxy = proxy + server, proxy_url = await proxy() + config.proxy = proxy_url browser = web_browser_engine_selenium.SeleniumWrapper(browser_type=browser_type) result = await browser.run(url) assert isinstance(result, WebPage) diff --git a/tests/metagpt/utils/test_project_repo.py b/tests/metagpt/utils/test_project_repo.py new file mode 100644 index 000000000..667927a1d --- /dev/null +++ b/tests/metagpt/utils/test_project_repo.py @@ -0,0 +1,64 @@ +#!/usr/bin/env python +# -*- coding: utf-8 -*- +""" +@Time : 2024/1/8 +@Author : mashenquan +""" +import uuid +from pathlib import Path + +import pytest + +from metagpt.const import ( + BUGFIX_FILENAME, + PACKAGE_REQUIREMENTS_FILENAME, + PRDS_FILE_REPO, + REQUIREMENT_FILENAME, +) +from metagpt.utils.project_repo import ProjectRepo + + +async def test_project_repo(): + root = Path(__file__).parent / f"../../../workspace/unittest/{uuid.uuid4().hex}" + root = root.resolve() + + pr = ProjectRepo(root=str(root)) + assert pr.git_repo.workdir == root + assert pr.workdir == pr.git_repo.workdir + + await pr.save(filename=REQUIREMENT_FILENAME, content=REQUIREMENT_FILENAME) + doc = await pr.get(filename=REQUIREMENT_FILENAME) + assert doc.content == REQUIREMENT_FILENAME + await pr.save(filename=BUGFIX_FILENAME, content=BUGFIX_FILENAME) + doc = await pr.get(filename=BUGFIX_FILENAME) + assert doc.content == BUGFIX_FILENAME + await pr.save(filename=PACKAGE_REQUIREMENTS_FILENAME, content=PACKAGE_REQUIREMENTS_FILENAME) + doc = await pr.get(filename=PACKAGE_REQUIREMENTS_FILENAME) + assert doc.content == PACKAGE_REQUIREMENTS_FILENAME + await pr.docs.prd.save(filename="1.prd", content="1.prd", dependencies=[REQUIREMENT_FILENAME]) + doc = await pr.docs.prd.get(filename="1.prd") + assert doc.content == "1.prd" + await pr.resources.prd.save( + filename="1.prd", + content="1.prd", + dependencies=[REQUIREMENT_FILENAME, f"{PRDS_FILE_REPO}/1.prd"], + ) + doc = await pr.resources.prd.get(filename="1.prd") + assert doc.content == "1.prd" + dependencies = await pr.resources.prd.get_dependency(filename="1.prd") + assert len(dependencies) == 2 + + assert pr.changed_files + assert pr.docs.prd.changed_files + assert not pr.tests.changed_files + + with pytest.raises(ValueError): + pr.srcs + assert pr.with_src_path("test_src").srcs.root_path == Path("test_src") + assert pr.src_relative_path == Path("test_src") + + pr.git_repo.delete_repository() + + +if __name__ == "__main__": + pytest.main([__file__, "-s"]) diff --git a/tests/metagpt/utils/test_redis.py b/tests/metagpt/utils/test_redis.py index 5d6eb1042..748c44f54 100644 --- a/tests/metagpt/utils/test_redis.py +++ b/tests/metagpt/utils/test_redis.py @@ -8,7 +8,6 @@ from unittest.mock import AsyncMock import pytest -from pytest_mock import mocker from metagpt.config2 import Config from metagpt.utils.redis import Redis @@ -22,7 +21,7 @@ async def async_mock_from_url(*args, **kwargs): @pytest.mark.asyncio -async def test_redis(i): +async def test_redis(mocker): redis = Config.default().redis mocker.patch("aioredis.from_url", return_value=async_mock_from_url()) diff --git a/tests/mock/mock_aiohttp.py b/tests/mock/mock_aiohttp.py new file mode 100644 index 000000000..4690bf4b5 --- /dev/null +++ b/tests/mock/mock_aiohttp.py @@ -0,0 +1,41 @@ +import json +from typing import Callable + +from aiohttp.client import ClientSession + +origin_request = ClientSession.request + + +class MockAioResponse: + check_funcs: dict[tuple[str, str], Callable[[dict], str]] = {} + rsp_cache: dict[str, str] = {} + name = "aiohttp" + + def __init__(self, session, method, url, **kwargs) -> None: + fn = self.check_funcs.get((method, url)) + self.key = f"{self.name}-{method}-{url}-{fn(kwargs) if fn else json.dumps(kwargs, sort_keys=True)}" + self.mng = self.response = None + if self.key not in self.rsp_cache: + self.mng = origin_request(session, method, url, **kwargs) + + async def __aenter__(self): + if self.response: + await self.response.__aenter__() + elif self.mng: + self.response = await self.mng.__aenter__() + return self + + async def __aexit__(self, *args, **kwargs): + if self.response: + await self.response.__aexit__(*args, **kwargs) + self.response = None + elif self.mng: + await self.mng.__aexit__(*args, **kwargs) + self.mng = None + + async def json(self, *args, **kwargs): + if self.key in self.rsp_cache: + return self.rsp_cache[self.key] + data = await self.response.json(*args, **kwargs) + self.rsp_cache[self.key] = data + return data diff --git a/tests/mock/mock_curl_cffi.py b/tests/mock/mock_curl_cffi.py new file mode 100644 index 000000000..3f2bea4a7 --- /dev/null +++ b/tests/mock/mock_curl_cffi.py @@ -0,0 +1,22 @@ +import json +from typing import Callable + +from curl_cffi import requests + +origin_request = requests.Session.request + + +class MockCurlCffiResponse(requests.Response): + check_funcs: dict[tuple[str, str], Callable[[dict], str]] = {} + rsp_cache: dict[str, str] = {} + name = "curl-cffi" + + def __init__(self, session, method, url, **kwargs) -> None: + super().__init__() + fn = self.check_funcs.get((method, url)) + self.key = f"{self.name}-{method}-{url}-{fn(kwargs) if fn else json.dumps(kwargs, sort_keys=True)}" + self.response = None + if self.key not in self.rsp_cache: + response = origin_request(session, method, url, **kwargs) + self.rsp_cache[self.key] = response.content.decode() + self.content = self.rsp_cache[self.key].encode() diff --git a/tests/mock/mock_httplib2.py b/tests/mock/mock_httplib2.py new file mode 100644 index 000000000..b6dd0b77b --- /dev/null +++ b/tests/mock/mock_httplib2.py @@ -0,0 +1,29 @@ +import json +from typing import Callable +from urllib.parse import parse_qsl, urlparse + +import httplib2 + +origin_request = httplib2.Http.request + + +class MockHttplib2Response(httplib2.Response): + check_funcs: dict[tuple[str, str], Callable[[dict], str]] = {} + rsp_cache: dict[str, str] = {} + name = "httplib2" + + def __init__(self, http, uri, method="GET", **kwargs) -> None: + url = uri.split("?")[0] + result = urlparse(uri) + params = dict(parse_qsl(result.query)) + fn = self.check_funcs.get((method, uri)) + new_kwargs = {"params": params} + key = f"{self.name}-{method}-{url}-{fn(new_kwargs) if fn else json.dumps(new_kwargs)}" + if key not in self.rsp_cache: + _, self.content = origin_request(http, uri, method, **kwargs) + self.rsp_cache[key] = self.content.decode() + self.content = self.rsp_cache[key] + + def __iter__(self): + yield self + yield self.content.encode()