mirror of
https://github.com/FoundationAgents/MetaGPT.git
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Merge pull request #939 from better629/feat_mock
Feat mock openai embed for document_store and memory UTs
This commit is contained in:
commit
b17cc3fa03
18 changed files with 134 additions and 70 deletions
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@ -23,11 +23,7 @@ from tenacity import retry, stop_after_attempt, wait_random_exponential
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from metagpt.actions.action import Action
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from metagpt.actions.project_management_an import REFINED_TASK_LIST, TASK_LIST
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from metagpt.actions.write_code_plan_and_change_an import REFINED_TEMPLATE
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from metagpt.const import (
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BUGFIX_FILENAME,
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CODE_PLAN_AND_CHANGE_FILENAME,
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REQUIREMENT_FILENAME,
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)
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from metagpt.const import BUGFIX_FILENAME, REQUIREMENT_FILENAME
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from metagpt.logs import logger
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from metagpt.schema import CodingContext, Document, RunCodeResult
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from metagpt.utils.common import CodeParser
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@ -98,8 +94,6 @@ class WriteCode(Action):
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bug_feedback = await self.repo.docs.get(filename=BUGFIX_FILENAME)
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coding_context = CodingContext.loads(self.i_context.content)
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test_doc = await self.repo.test_outputs.get(filename="test_" + coding_context.filename + ".json")
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code_plan_and_change_doc = await self.repo.docs.code_plan_and_change.get(filename=CODE_PLAN_AND_CHANGE_FILENAME)
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code_plan_and_change = code_plan_and_change_doc.content if code_plan_and_change_doc else ""
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requirement_doc = await self.repo.docs.get(filename=REQUIREMENT_FILENAME)
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summary_doc = None
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if coding_context.design_doc and coding_context.design_doc.filename:
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@ -111,7 +105,7 @@ class WriteCode(Action):
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if bug_feedback:
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code_context = coding_context.code_doc.content
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elif code_plan_and_change:
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elif self.config.inc:
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code_context = await self.get_codes(
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coding_context.task_doc, exclude=self.i_context.filename, project_repo=self.repo, use_inc=True
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)
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@ -122,10 +116,10 @@ class WriteCode(Action):
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project_repo=self.repo.with_src_path(self.context.src_workspace),
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)
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if code_plan_and_change:
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if self.config.inc:
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prompt = REFINED_TEMPLATE.format(
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user_requirement=requirement_doc.content if requirement_doc else "",
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code_plan_and_change=code_plan_and_change,
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code_plan_and_change=str(coding_context.code_plan_and_change_doc),
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design=coding_context.design_doc.content if coding_context.design_doc else "",
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task=coding_context.task_doc.content if coding_context.task_doc else "",
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code=code_context,
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@ -13,7 +13,7 @@ from tenacity import retry, stop_after_attempt, wait_random_exponential
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from metagpt.actions import WriteCode
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from metagpt.actions.action import Action
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from metagpt.const import CODE_PLAN_AND_CHANGE_FILENAME, REQUIREMENT_FILENAME
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from metagpt.const import REQUIREMENT_FILENAME
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from metagpt.logs import logger
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from metagpt.schema import CodingContext
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from metagpt.utils.common import CodeParser
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@ -149,29 +149,21 @@ class WriteCodeReview(Action):
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use_inc=self.config.inc,
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)
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if not self.config.inc:
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context = "\n".join(
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[
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"## System Design\n" + str(self.i_context.design_doc) + "\n",
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"## Task\n" + task_content + "\n",
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"## Code Files\n" + code_context + "\n",
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]
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)
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else:
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ctx_list = [
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"## System Design\n" + str(self.i_context.design_doc) + "\n",
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"## Task\n" + task_content + "\n",
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"## Code Files\n" + code_context + "\n",
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]
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if self.config.inc:
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requirement_doc = await self.repo.docs.get(filename=REQUIREMENT_FILENAME)
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code_plan_and_change_doc = await self.repo.get(filename=CODE_PLAN_AND_CHANGE_FILENAME)
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context = "\n".join(
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[
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"## User New Requirements\n" + str(requirement_doc) + "\n",
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"## Code Plan And Change\n" + str(code_plan_and_change_doc) + "\n",
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"## System Design\n" + str(self.i_context.design_doc) + "\n",
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"## Task\n" + task_content + "\n",
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"## Code Files\n" + code_context + "\n",
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]
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)
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insert_ctx_list = [
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"## User New Requirements\n" + str(requirement_doc) + "\n",
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"## Code Plan And Change\n" + str(self.i_context.code_plan_and_change_doc) + "\n",
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]
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ctx_list = insert_ctx_list + ctx_list
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context_prompt = PROMPT_TEMPLATE.format(
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context=context,
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context="\n".join(ctx_list),
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code=iterative_code,
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filename=self.i_context.code_doc.filename,
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)
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@ -84,7 +84,6 @@ MESSAGE_ROUTE_TO_NONE = "<none>"
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REQUIREMENT_FILENAME = "requirement.txt"
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BUGFIX_FILENAME = "bugfix.txt"
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PACKAGE_REQUIREMENTS_FILENAME = "requirements.txt"
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CODE_PLAN_AND_CHANGE_FILENAME = "code_plan_and_change.json"
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DOCS_FILE_REPO = "docs"
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PRDS_FILE_REPO = "docs/prd"
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@ -7,7 +7,6 @@
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from pathlib import Path
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from typing import Optional
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from langchain.embeddings import OpenAIEmbeddings
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from langchain.vectorstores.faiss import FAISS
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from langchain_core.embeddings import Embeddings
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@ -15,6 +14,7 @@ from metagpt.const import DATA_PATH, MEM_TTL
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from metagpt.document_store.faiss_store import FaissStore
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from metagpt.logs import logger
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from metagpt.schema import Message
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from metagpt.utils.embedding import get_embedding
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from metagpt.utils.serialize import deserialize_message, serialize_message
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@ -30,7 +30,7 @@ class MemoryStorage(FaissStore):
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self.threshold: float = 0.1 # experience value. TODO The threshold to filter similar memories
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self._initialized: bool = False
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self.embedding = embedding or OpenAIEmbeddings()
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self.embedding = embedding or get_embedding()
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self.store: FAISS = None # Faiss engine
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@property
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@ -20,7 +20,6 @@
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from __future__ import annotations
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import json
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import os
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from collections import defaultdict
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from pathlib import Path
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from typing import Set
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@ -32,7 +31,6 @@ from metagpt.actions.summarize_code import SummarizeCode
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from metagpt.actions.write_code_plan_and_change_an import WriteCodePlanAndChange
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from metagpt.const import (
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CODE_PLAN_AND_CHANGE_FILE_REPO,
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CODE_PLAN_AND_CHANGE_FILENAME,
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REQUIREMENT_FILENAME,
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SYSTEM_DESIGN_FILE_REPO,
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TASK_FILE_REPO,
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@ -119,10 +117,10 @@ class Engineer(Role):
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dependencies = {coding_context.design_doc.root_relative_path, coding_context.task_doc.root_relative_path}
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if self.config.inc:
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dependencies.add(os.path.join(CODE_PLAN_AND_CHANGE_FILE_REPO, CODE_PLAN_AND_CHANGE_FILENAME))
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dependencies.add(coding_context.code_plan_and_change_doc.root_relative_path)
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await self.project_repo.srcs.save(
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filename=coding_context.filename,
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dependencies=dependencies,
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dependencies=list(dependencies),
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content=coding_context.code_doc.content,
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)
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msg = Message(
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@ -215,11 +213,12 @@ class Engineer(Role):
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self.rc.todo.i_context.design_filename,
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self.rc.todo.i_context.task_filename,
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}
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code_plan_and_change_filepath = Path(self.rc.todo.i_context.design_filename)
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await self.project_repo.docs.code_plan_and_change.save(
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filename=self.rc.todo.i_context.filename, content=code_plan_and_change, dependencies=dependencies
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filename=code_plan_and_change_filepath.name, content=code_plan_and_change, dependencies=dependencies
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)
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await self.project_repo.resources.code_plan_and_change.save(
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filename=Path(self.rc.todo.i_context.filename).with_suffix(".md").name,
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filename=code_plan_and_change_filepath.with_suffix(".md").name,
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content=node.content,
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dependencies=dependencies,
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)
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@ -269,15 +268,24 @@ class Engineer(Role):
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dependencies = {Path(i) for i in await dependency.get(old_code_doc.root_relative_path)}
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task_doc = None
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design_doc = None
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code_plan_and_change_doc = None
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for i in dependencies:
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if str(i.parent) == TASK_FILE_REPO:
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task_doc = await self.project_repo.docs.task.get(i.name)
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elif str(i.parent) == SYSTEM_DESIGN_FILE_REPO:
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design_doc = await self.project_repo.docs.system_design.get(i.name)
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elif str(i.parent) == CODE_PLAN_AND_CHANGE_FILE_REPO:
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code_plan_and_change_doc = await self.project_repo.docs.code_plan_and_change.get(i.name)
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if not task_doc or not design_doc:
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logger.error(f'Detected source code "{filename}" from an unknown origin.')
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raise ValueError(f'Detected source code "{filename}" from an unknown origin.')
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context = CodingContext(filename=filename, design_doc=design_doc, task_doc=task_doc, code_doc=old_code_doc)
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context = CodingContext(
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filename=filename,
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design_doc=design_doc,
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task_doc=task_doc,
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code_doc=old_code_doc,
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code_plan_and_change_doc=code_plan_and_change_doc,
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)
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return context
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async def _new_coding_doc(self, filename, dependency):
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@ -296,6 +304,7 @@ class Engineer(Role):
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for filename in changed_task_files:
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design_doc = await self.project_repo.docs.system_design.get(filename)
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task_doc = await self.project_repo.docs.task.get(filename)
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code_plan_and_change_doc = await self.project_repo.docs.code_plan_and_change.get(filename)
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task_list = self._parse_tasks(task_doc)
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for task_filename in task_list:
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old_code_doc = await self.project_repo.srcs.get(task_filename)
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@ -303,9 +312,18 @@ class Engineer(Role):
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old_code_doc = Document(
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root_path=str(self.project_repo.src_relative_path), filename=task_filename, content=""
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)
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context = CodingContext(
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filename=task_filename, design_doc=design_doc, task_doc=task_doc, code_doc=old_code_doc
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)
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if not code_plan_and_change_doc:
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context = CodingContext(
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filename=task_filename, design_doc=design_doc, task_doc=task_doc, code_doc=old_code_doc
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)
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else:
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context = CodingContext(
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filename=task_filename,
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design_doc=design_doc,
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task_doc=task_doc,
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code_doc=old_code_doc,
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code_plan_and_change_doc=code_plan_and_change_doc,
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)
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coding_doc = Document(
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root_path=str(self.project_repo.src_relative_path),
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filename=task_filename,
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@ -37,7 +37,6 @@ from pydantic import (
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)
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from metagpt.const import (
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CODE_PLAN_AND_CHANGE_FILENAME,
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MESSAGE_ROUTE_CAUSE_BY,
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MESSAGE_ROUTE_FROM,
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MESSAGE_ROUTE_TO,
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@ -613,6 +612,7 @@ class CodingContext(BaseContext):
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design_doc: Optional[Document] = None
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task_doc: Optional[Document] = None
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code_doc: Optional[Document] = None
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code_plan_and_change_doc: Optional[Document] = None
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class TestingContext(BaseContext):
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@ -667,7 +667,6 @@ class BugFixContext(BaseContext):
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class CodePlanAndChangeContext(BaseModel):
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filename: str = CODE_PLAN_AND_CHANGE_FILENAME
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requirement: str = ""
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prd_filename: str = ""
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design_filename: str = ""
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@ -6,6 +6,9 @@
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@File : test_faiss_store.py
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"""
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from typing import Optional
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import numpy as np
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import pytest
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from metagpt.const import EXAMPLE_PATH
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@ -14,8 +17,17 @@ from metagpt.logs import logger
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from metagpt.roles import Sales
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def mock_openai_embed_documents(self, texts: list[str], chunk_size: Optional[int] = 0) -> list[list[float]]:
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num = len(texts)
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embeds = np.random.randint(1, 100, size=(num, 1536)) # 1536: openai embedding dim
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embeds = (embeds - embeds.mean(axis=0)) / (embeds.std(axis=0))
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return embeds
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@pytest.mark.asyncio
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async def test_search_json():
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async def test_search_json(mocker):
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mocker.patch("langchain_community.embeddings.openai.OpenAIEmbeddings.embed_documents", mock_openai_embed_documents)
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store = FaissStore(EXAMPLE_PATH / "example.json")
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role = Sales(profile="Sales", store=store)
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query = "Which facial cleanser is good for oily skin?"
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@ -24,7 +36,9 @@ async def test_search_json():
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@pytest.mark.asyncio
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async def test_search_xlsx():
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async def test_search_xlsx(mocker):
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mocker.patch("langchain_community.embeddings.openai.OpenAIEmbeddings.embed_documents", mock_openai_embed_documents)
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store = FaissStore(EXAMPLE_PATH / "example.xlsx")
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role = Sales(profile="Sales", store=store)
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query = "Which facial cleanser is good for oily skin?"
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@ -33,7 +47,9 @@ async def test_search_xlsx():
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@pytest.mark.asyncio
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async def test_write():
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async def test_write(mocker):
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mocker.patch("langchain_community.embeddings.openai.OpenAIEmbeddings.embed_documents", mock_openai_embed_documents)
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store = FaissStore(EXAMPLE_PATH / "example.xlsx", meta_col="Answer", content_col="Question")
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_faiss_store = store.write()
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assert _faiss_store.docstore
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|
|
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33
tests/metagpt/memory/mock_text_embed.py
Normal file
33
tests/metagpt/memory/mock_text_embed.py
Normal file
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@ -0,0 +1,33 @@
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#!/usr/bin/env python
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# -*- coding: utf-8 -*-
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# @Desc :
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from typing import Optional
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import numpy as np
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dim = 1536 # openai embedding dim
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text_embed_arr = [
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{"text": "Write a cli snake game", "embed": np.zeros(shape=[1, dim])}, # mock data, same as below
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{"text": "Write a game of cli snake", "embed": np.zeros(shape=[1, dim])},
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{"text": "Write a 2048 web game", "embed": np.ones(shape=[1, dim])},
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{"text": "Write a Battle City", "embed": np.ones(shape=[1, dim])},
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{
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"text": "The user has requested the creation of a command-line interface (CLI) snake game",
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"embed": np.zeros(shape=[1, dim]),
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},
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{"text": "The request is command-line interface (CLI) snake game", "embed": np.zeros(shape=[1, dim])},
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{
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"text": "Incorporate basic features of a snake game such as scoring and increasing difficulty",
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"embed": np.ones(shape=[1, dim]),
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},
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]
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text_idx_dict = {item["text"]: idx for idx, item in enumerate(text_embed_arr)}
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def mock_openai_embed_documents(self, texts: list[str], chunk_size: Optional[int] = 0) -> list[list[float]]:
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idx = text_idx_dict.get(texts[0])
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embed = text_embed_arr[idx].get("embed")
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return embed
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|
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@ -4,20 +4,22 @@
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@Desc : unittest of `metagpt/memory/longterm_memory.py`
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"""
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import os
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import pytest
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from metagpt.actions import UserRequirement
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from metagpt.config2 import config
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from metagpt.memory.longterm_memory import LongTermMemory
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from metagpt.roles.role import RoleContext
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from metagpt.schema import Message
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os.environ.setdefault("OPENAI_API_KEY", config.get_openai_llm().api_key)
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from tests.metagpt.memory.mock_text_embed import (
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mock_openai_embed_documents,
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text_embed_arr,
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)
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def test_ltm_search():
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def test_ltm_search(mocker):
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mocker.patch("langchain_community.embeddings.openai.OpenAIEmbeddings.embed_documents", mock_openai_embed_documents)
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role_id = "UTUserLtm(Product Manager)"
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from metagpt.environment import Environment
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@ -27,20 +29,20 @@ def test_ltm_search():
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ltm = LongTermMemory()
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ltm.recover_memory(role_id, rc)
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idea = "Write a cli snake game"
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idea = text_embed_arr[0].get("text", "Write a cli snake game")
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message = Message(role="User", content=idea, cause_by=UserRequirement)
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news = ltm.find_news([message])
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assert len(news) == 1
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ltm.add(message)
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sim_idea = "Write a game of cli snake"
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sim_idea = text_embed_arr[1].get("text", "Write a game of cli snake")
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sim_message = Message(role="User", content=sim_idea, cause_by=UserRequirement)
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news = ltm.find_news([sim_message])
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assert len(news) == 0
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ltm.add(sim_message)
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||||
|
||||
new_idea = "Write a 2048 web game"
|
||||
new_idea = text_embed_arr[2].get("text", "Write a 2048 web game")
|
||||
new_message = Message(role="User", content=new_idea, cause_by=UserRequirement)
|
||||
news = ltm.find_news([new_message])
|
||||
assert len(news) == 1
|
||||
|
|
@ -56,7 +58,7 @@ def test_ltm_search():
|
|||
news = ltm_new.find_news([sim_message])
|
||||
assert len(news) == 0
|
||||
|
||||
new_idea = "Write a Battle City"
|
||||
new_idea = text_embed_arr[3].get("text", "Write a Battle City")
|
||||
new_message = Message(role="User", content=new_idea, cause_by=UserRequirement)
|
||||
news = ltm_new.find_news([new_message])
|
||||
assert len(news) == 1
|
||||
|
|
|
|||
|
|
@ -4,23 +4,25 @@
|
|||
@Desc : the unittests of metagpt/memory/memory_storage.py
|
||||
"""
|
||||
|
||||
import os
|
||||
import shutil
|
||||
from pathlib import Path
|
||||
from typing import List
|
||||
|
||||
from metagpt.actions import UserRequirement, WritePRD
|
||||
from metagpt.actions.action_node import ActionNode
|
||||
from metagpt.config2 import config
|
||||
from metagpt.const import DATA_PATH
|
||||
from metagpt.memory.memory_storage import MemoryStorage
|
||||
from metagpt.schema import Message
|
||||
|
||||
os.environ.setdefault("OPENAI_API_KEY", config.get_openai_llm().api_key)
|
||||
from tests.metagpt.memory.mock_text_embed import (
|
||||
mock_openai_embed_documents,
|
||||
text_embed_arr,
|
||||
)
|
||||
|
||||
|
||||
def test_idea_message():
|
||||
idea = "Write a cli snake game"
|
||||
def test_idea_message(mocker):
|
||||
mocker.patch("langchain_community.embeddings.openai.OpenAIEmbeddings.embed_documents", mock_openai_embed_documents)
|
||||
|
||||
idea = text_embed_arr[0].get("text", "Write a cli snake game")
|
||||
role_id = "UTUser1(Product Manager)"
|
||||
message = Message(role="User", content=idea, cause_by=UserRequirement)
|
||||
|
||||
|
|
@ -33,12 +35,12 @@ def test_idea_message():
|
|||
memory_storage.add(message)
|
||||
assert memory_storage.is_initialized is True
|
||||
|
||||
sim_idea = "Write a game of cli snake"
|
||||
sim_idea = text_embed_arr[1].get("text", "Write a game of cli snake")
|
||||
sim_message = Message(role="User", content=sim_idea, cause_by=UserRequirement)
|
||||
new_messages = memory_storage.search_dissimilar(sim_message)
|
||||
assert len(new_messages) == 0 # similar, return []
|
||||
|
||||
new_idea = "Write a 2048 web game"
|
||||
new_idea = text_embed_arr[2].get("text", "Write a 2048 web game")
|
||||
new_message = Message(role="User", content=new_idea, cause_by=UserRequirement)
|
||||
new_messages = memory_storage.search_dissimilar(new_message)
|
||||
assert new_messages[0].content == message.content
|
||||
|
|
@ -47,13 +49,17 @@ def test_idea_message():
|
|||
assert memory_storage.is_initialized is False
|
||||
|
||||
|
||||
def test_actionout_message():
|
||||
def test_actionout_message(mocker):
|
||||
mocker.patch("langchain_community.embeddings.openai.OpenAIEmbeddings.embed_documents", mock_openai_embed_documents)
|
||||
|
||||
out_mapping = {"field1": (str, ...), "field2": (List[str], ...)}
|
||||
out_data = {"field1": "field1 value", "field2": ["field2 value1", "field2 value2"]}
|
||||
ic_obj = ActionNode.create_model_class("prd", out_mapping)
|
||||
|
||||
role_id = "UTUser2(Architect)"
|
||||
content = "The user has requested the creation of a command-line interface (CLI) snake game"
|
||||
content = text_embed_arr[4].get(
|
||||
"text", "The user has requested the creation of a command-line interface (CLI) snake game"
|
||||
)
|
||||
message = Message(
|
||||
content=content, instruct_content=ic_obj(**out_data), role="user", cause_by=WritePRD
|
||||
) # WritePRD as test action
|
||||
|
|
@ -67,12 +73,14 @@ def test_actionout_message():
|
|||
memory_storage.add(message)
|
||||
assert memory_storage.is_initialized is True
|
||||
|
||||
sim_conent = "The request is command-line interface (CLI) snake game"
|
||||
sim_conent = text_embed_arr[5].get("text", "The request is command-line interface (CLI) snake game")
|
||||
sim_message = Message(content=sim_conent, instruct_content=ic_obj(**out_data), role="user", cause_by=WritePRD)
|
||||
new_messages = memory_storage.search_dissimilar(sim_message)
|
||||
assert len(new_messages) == 0 # similar, return []
|
||||
|
||||
new_conent = "Incorporate basic features of a snake game such as scoring and increasing difficulty"
|
||||
new_conent = text_embed_arr[6].get(
|
||||
"text", "Incorporate basic features of a snake game such as scoring and increasing difficulty"
|
||||
)
|
||||
new_message = Message(content=new_conent, instruct_content=ic_obj(**out_data), role="user", cause_by=WritePRD)
|
||||
new_messages = memory_storage.search_dissimilar(new_message)
|
||||
assert new_messages[0].content == message.content
|
||||
|
|
|
|||
|
|
@ -142,6 +142,9 @@ def check_or_create_base_tag(project_path):
|
|||
# Initialize a Git repository
|
||||
subprocess.run(["git", "init"], check=True)
|
||||
|
||||
# Check if the .gitignore exists. If it doesn't exist, create .gitignore and add the comment
|
||||
subprocess.run(f"echo # Ignore these files or directories > {'.gitignore'}", shell=True)
|
||||
|
||||
# Check if the 'base' tag exists
|
||||
check_base_tag_cmd = ["git", "show-ref", "--verify", "--quiet", "refs/tags/base"]
|
||||
if subprocess.run(check_base_tag_cmd).returncode == 0:
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue