diff --git a/.github/workflows/type-checker.yml b/.github/workflows/type-checker.yml index 150183807..9a450f007 100644 --- a/.github/workflows/type-checker.yml +++ b/.github/workflows/type-checker.yml @@ -1,4 +1,3 @@ - name: Run Type Checks on: [pull_request] @@ -12,19 +11,16 @@ jobs: steps: - name: Checkout code - uses: actions/checkout@v2 + uses: actions/checkout@v4 - name: Setup Python uses: actions/setup-python@v4 with: - python-version: '3.10' + python-version: "3.10" - name: Install Requirements run: | - sudo apt-get update && - pip install poetry && - poetry lock && - poetry install + pip install mypy - name: Run type checks - run: poetry run pyright + run: mypy src diff --git a/README.md b/README.md index 0906246d9..f18fc417b 100644 --- a/README.md +++ b/README.md @@ -231,7 +231,7 @@ poetry run pytest ### Running static type checks ```bash -poetry run pyright +poetry run mypy ``` ### Packaging diff --git a/poetry.lock b/poetry.lock index 1922c4cdb..668e40af9 100644 --- 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"wrapt-1.16.0.tar.gz", hash = "sha256:5f370f952971e7d17c7d1ead40e49f32345a7f7a5373571ef44d800d06b1899d"}, ] +[[package]] +name = "wsproto" +version = "1.2.0" +description = "WebSockets state-machine based protocol implementation" +optional = false +python-versions = ">=3.7.0" +files = [ + {file = "wsproto-1.2.0-py3-none-any.whl", hash = "sha256:b9acddd652b585d75b20477888c56642fdade28bdfd3579aa24a4d2c037dd736"}, + {file = "wsproto-1.2.0.tar.gz", hash = "sha256:ad565f26ecb92588a3e43bc3d96164de84cd9902482b130d0ddbaa9664a85065"}, +] + +[package.dependencies] +h11 = ">=0.9.0,<1" + [[package]] name = "yarl" version = "1.9.4" @@ -4836,6 +5537,41 @@ files = [ idna = ">=2.0" multidict = ">=4.0" +[[package]] +name = "youtube-transcript-api" +version = "0.6.2" +description = "This is an python API which allows you to get the transcripts/subtitles for a given YouTube video. It also works for automatically generated subtitles, supports translating subtitles and it does not require a headless browser, like other selenium based solutions do!" +optional = false +python-versions = "*" +files = [ + {file = "youtube_transcript_api-0.6.2-py3-none-any.whl", hash = "sha256:019dbf265c6a68a0591c513fff25ed5a116ce6525832aefdfb34d4df5567121c"}, + {file = "youtube_transcript_api-0.6.2.tar.gz", hash = "sha256:cad223d7620633cec44f657646bffc8bbc5598bd8e70b1ad2fa8277dec305eb7"}, +] + +[package.dependencies] +requests = "*" + +[[package]] +name = "yt-dlp" +version = "2023.12.30" +description = "A youtube-dl fork with additional features and patches" +optional = false +python-versions = ">=3.8" +files = [ + {file = "yt-dlp-2023.12.30.tar.gz", hash = "sha256:a11862e57721b0a0f0883dfeb5a4d79ba213a2d4c45e1880e9fd70f8e6570c38"}, + {file = "yt_dlp-2023.12.30-py2.py3-none-any.whl", hash = "sha256:c00d9a71d64472ad441bcaa1ec0c3797d6e60c9f934f270096a96fe51657e7b3"}, +] + +[package.dependencies] +brotli = {version = "*", markers = "implementation_name == \"cpython\""} +brotlicffi = {version = "*", markers = "implementation_name != \"cpython\""} +certifi = "*" +mutagen = "*" +pycryptodomex = "*" +requests = ">=2.31.0,<3" +urllib3 = ">=1.26.17,<3" +websockets = ">=12.0" + [[package]] name = "zipp" version = "3.18.1" @@ -4857,4 +5593,4 @@ tools = ["crewai-tools"] [metadata] lock-version = "2.0" python-versions = ">=3.10,<=3.13" -content-hash = "56b877023daab20c1ca5bba9346e70fc921353e0e5e61563c333937648eff195" +content-hash = "77320f84572c4fcfed132f224ddd6cf865742e1fb6d3c5d14b12f0ac63ec10be" diff --git a/pyproject.toml b/pyproject.toml index e623f5494..a977c750e 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -32,7 +32,7 @@ tools = ["crewai-tools"] [tool.poetry.group.dev.dependencies] isort = "^5.13.2" -pyright = ">=1.1.350,<2.0.0" +mypy = "1.10.0" autoflake = "^2.2.1" pre-commit = "^3.6.0" mkdocs = "^1.4.3" @@ -52,6 +52,11 @@ python-dotenv = "1.0.0" [tool.poetry.scripts] crewai = "crewai.cli.cli:crewai" +[tool.mypy] +ignore_missing_imports = true +disable_error_code = 'import-untyped' +exclude = ["cli/templates/main.py", "cli/templates/crew.py"] + [build-system] requires = ["poetry-core"] build-backend = "poetry.core.masonry.api" diff --git a/src/crewai/agent.py b/src/crewai/agent.py index 63d5b5eee..2ef6ecc96 100644 --- a/src/crewai/agent.py +++ b/src/crewai/agent.py @@ -204,7 +204,7 @@ class Agent(BaseModel): Output of the agent """ if self.tools_handler: - self.tools_handler.last_used_tool = {} + self.tools_handler.last_used_tool = {} # type: ignore # Incompatible types in assignment (expression has type "dict[Never, Never]", variable has type "ToolCalling") task_prompt = task.prompt() @@ -224,7 +224,7 @@ class Agent(BaseModel): task_prompt += self.i18n.slice("memory").format(memory=memory) tools = tools or self.tools - parsed_tools = self._parse_tools(tools) + parsed_tools = self._parse_tools(tools) # type: ignore # Argument 1 to "_parse_tools" of "Agent" has incompatible type "list[Any] | None"; expected "list[Any]" self.create_agent_executor(tools=tools) self.agent_executor.tools = parsed_tools @@ -364,7 +364,7 @@ class Agent(BaseModel): thoughts += f"\n{observation_prefix}{observation}\n{llm_prefix}" return thoughts - def _parse_tools(self, tools: List[Any]) -> List[LangChainTool]: + def _parse_tools(self, tools: List[Any]) -> List[LangChainTool]: # type: ignore # Function "langchain_core.tools.tool" is not valid as a type """Parse tools to be used for the task.""" # tentatively try to import from crewai_tools import BaseTool as CrewAITool tools_list = [] diff --git a/src/crewai/agents/executor.py b/src/crewai/agents/executor.py index 8952ba1f7..05cc25504 100644 --- a/src/crewai/agents/executor.py +++ b/src/crewai/agents/executor.py @@ -35,7 +35,7 @@ class CrewAgentExecutor(AgentExecutor): crew: Any = None function_calling_llm: Any = None request_within_rpm_limit: Any = None - tools_handler: InstanceOf[ToolsHandler] = None + tools_handler: Optional[InstanceOf[ToolsHandler]] = None max_iterations: Optional[int] = 15 have_forced_answer: bool = False force_answer_max_iterations: Optional[int] = None @@ -189,7 +189,7 @@ class CrewAgentExecutor(AgentExecutor): intermediate_steps = self._prepare_intermediate_steps(intermediate_steps) # Call the LLM to see what to do. - output = self.agent.plan( + output = self.agent.plan( # type: ignore # Incompatible types in assignment (expression has type "AgentAction | AgentFinish | list[AgentAction]", variable has type "AgentAction") intermediate_steps, callbacks=run_manager.get_child() if run_manager else None, **inputs, @@ -275,8 +275,8 @@ class CrewAgentExecutor(AgentExecutor): run_manager.on_agent_action(agent_action, color="green") tool_usage = ToolUsage( - tools_handler=self.tools_handler, - tools=self.tools, + tools_handler=self.tools_handler, # type: ignore # Argument "tools_handler" to "ToolUsage" has incompatible type "ToolsHandler | None"; expected "ToolsHandler" + tools=self.tools, # type: ignore # Argument "tools" to "ToolUsage" has incompatible type "Sequence[BaseTool]"; expected "list[BaseTool]" original_tools=self.original_tools, tools_description=self.tools_description, tools_names=self.tools_names, diff --git a/src/crewai/agents/tools_handler.py b/src/crewai/agents/tools_handler.py index 54bde5e5a..c82f7de8c 100644 --- a/src/crewai/agents/tools_handler.py +++ b/src/crewai/agents/tools_handler.py @@ -8,13 +8,13 @@ from .cache.cache_handler import CacheHandler class ToolsHandler: """Callback handler for tool usage.""" - last_used_tool: ToolCalling = {} - cache: CacheHandler + last_used_tool: ToolCalling = {} # type: ignore # BUG?: Incompatible types in assignment (expression has type "Dict[...]", variable has type "ToolCalling") + cache: Optional[CacheHandler] def __init__(self, cache: Optional[CacheHandler] = None): """Initialize the callback handler.""" self.cache = cache - self.last_used_tool = {} + self.last_used_tool = {} # type: ignore # BUG?: same as above def on_tool_use( self, @@ -23,7 +23,7 @@ class ToolsHandler: should_cache: bool = True, ) -> Any: """Run when tool ends running.""" - self.last_used_tool = calling + self.last_used_tool = calling # type: ignore # BUG?: Incompatible types in assignment (expression has type "Union[ToolCalling, InstructorToolCalling]", variable has type "ToolCalling") if self.cache and should_cache and calling.tool_name != CacheTools().name: self.cache.add( tool=calling.tool_name, diff --git a/src/crewai/crew.py b/src/crewai/crew.py index d9a0a64a7..a5c10baa2 100644 --- a/src/crewai/crew.py +++ b/src/crewai/crew.py @@ -242,7 +242,7 @@ class Crew(BaseModel): def kickoff(self, inputs: Optional[Dict[str, Any]] = {}) -> str: """Starts the crew to work on its assigned tasks.""" self._execution_span = self._telemetry.crew_execution_span(self) - self._interpolate_inputs(inputs) + self._interpolate_inputs(inputs) # type: ignore # Argument 1 to "_interpolate_inputs" of "Crew" has incompatible type "dict[str, Any] | None"; expected "dict[str, Any]" self._set_tasks_callbacks() i18n = I18N(prompt_file=self.prompt_file) @@ -263,8 +263,8 @@ class Crew(BaseModel): if self.process == Process.sequential: result = self._run_sequential_process() elif self.process == Process.hierarchical: - result, manager_metrics = self._run_hierarchical_process() - metrics.append(manager_metrics) + result, manager_metrics = self._run_hierarchical_process() # type: ignore # Unpacking a string is disallowed + metrics.append(manager_metrics) # type: ignore # Cannot determine type of "manager_metrics" else: raise NotImplementedError( @@ -284,7 +284,7 @@ class Crew(BaseModel): """Executes tasks sequentially and returns the final output.""" task_output = "" for task in self.tasks: - if task.agent.allow_delegation: + if task.agent.allow_delegation: # type: ignore # Item "None" of "Agent | None" has no attribute "allow_delegation" agents_for_delegation = [ agent for agent in self.agents if agent != task.agent ] @@ -357,23 +357,23 @@ class Crew(BaseModel): ) self._finish_execution(task_output) - return self._format_output(task_output), manager._token_process.get_summary() + return self._format_output(task_output), manager._token_process.get_summary() # type: ignore # Incompatible return value type (got "tuple[str, Any]", expected "str") - def _set_tasks_callbacks(self) -> str: + def _set_tasks_callbacks(self) -> None: """Sets callback for every task suing task_callback""" for task in self.tasks: if not task.callback: task.callback = self.task_callback - def _interpolate_inputs(self, inputs: Dict[str, Any]) -> str: + def _interpolate_inputs(self, inputs: Dict[str, Any]) -> None: """Interpolates the inputs in the tasks and agents.""" - [task.interpolate_inputs(inputs) for task in self.tasks] - [agent.interpolate_inputs(inputs) for agent in self.agents] + [task.interpolate_inputs(inputs) for task in self.tasks] # type: ignore # "interpolate_inputs" of "Task" does not return a value (it only ever returns None) + [agent.interpolate_inputs(inputs) for agent in self.agents] # type: ignore # "interpolate_inputs" of "Agent" does not return a value (it only ever returns None) def _format_output(self, output: str) -> str: """Formats the output of the crew execution.""" if self.full_output: - return { + return { # type: ignore # Incompatible return value type (got "dict[str, Sequence[str | TaskOutput | None]]", expected "str") "final_output": output, "tasks_outputs": [task.output for task in self.tasks if task], } diff --git a/src/crewai/memory/contextual/contextual_memory.py b/src/crewai/memory/contextual/contextual_memory.py index 2c25ccede..23435c04c 100644 --- a/src/crewai/memory/contextual/contextual_memory.py +++ b/src/crewai/memory/contextual/contextual_memory.py @@ -1,3 +1,5 @@ +from typing import Optional + from crewai.memory import EntityMemory, LongTermMemory, ShortTermMemory @@ -32,7 +34,7 @@ class ContextualMemory: formatted_results = "\n".join([f"- {result}" for result in stm_results]) return f"Recent Insights:\n{formatted_results}" if stm_results else "" - def _fetch_ltm_context(self, task) -> str: + def _fetch_ltm_context(self, task) -> Optional[str]: """ Fetches historical data or insights from LTM that are relevant to the task's description and expected_output, formatted as bullet points. @@ -44,10 +46,10 @@ class ContextualMemory: formatted_results = [ suggestion for result in ltm_results - for suggestion in result["metadata"]["suggestions"] + for suggestion in result["metadata"]["suggestions"] # type: ignore # Invalid index type "str" for "str"; expected type "SupportsIndex | slice" ] formatted_results = list(dict.fromkeys(formatted_results)) - formatted_results = "\n".join([f"- {result}" for result in formatted_results]) + formatted_results = "\n".join([f"- {result}" for result in formatted_results]) # type: ignore # Incompatible types in assignment (expression has type "str", variable has type "list[str]") return f"Historical Data:\n{formatted_results}" if ltm_results else "" @@ -58,6 +60,6 @@ class ContextualMemory: """ em_results = self.em.search(query) formatted_results = "\n".join( - [f"- {result['context']}" for result in em_results] + [f"- {result['context']}" for result in em_results] # type: ignore # Invalid index type "str" for "str"; expected type "SupportsIndex | slice" ) return f"Entities:\n{formatted_results}" if em_results else "" diff --git a/src/crewai/memory/entity/entity_memory.py b/src/crewai/memory/entity/entity_memory.py index 43986cc43..d52a995b8 100644 --- a/src/crewai/memory/entity/entity_memory.py +++ b/src/crewai/memory/entity/entity_memory.py @@ -16,7 +16,7 @@ class EntityMemory(Memory): ) super().__init__(storage) - def save(self, item: EntityMemoryItem) -> None: + def save(self, item: EntityMemoryItem) -> None: # type: ignore # BUG?: Signature of "save" incompatible with supertype "Memory" """Saves an entity item into the SQLite storage.""" data = f"{item.name}({item.type}): {item.description}" super().save(data, item.metadata) diff --git a/src/crewai/memory/long_term/long_term_memory.py b/src/crewai/memory/long_term/long_term_memory.py index 046e5aaf7..b437d9e7d 100644 --- a/src/crewai/memory/long_term/long_term_memory.py +++ b/src/crewai/memory/long_term/long_term_memory.py @@ -18,10 +18,10 @@ class LongTermMemory(Memory): storage = LTMSQLiteStorage() super().__init__(storage) - def save(self, item: LongTermMemoryItem) -> None: + def save(self, item: LongTermMemoryItem) -> None: # type: ignore # BUG?: Signature of "save" incompatible with supertype "Memory" metadata = item.metadata metadata.update({"agent": item.agent, "expected_output": item.expected_output}) - self.storage.save( + self.storage.save( # type: ignore # BUG?: Unexpected keyword argument "task_description","score","datetime" for "save" of "Storage" task_description=item.task, score=metadata["quality"], metadata=metadata, @@ -29,4 +29,4 @@ class LongTermMemory(Memory): ) def search(self, task: str, latest_n: int = 3) -> Dict[str, Any]: - return self.storage.load(task, latest_n) + return self.storage.load(task, latest_n) # type: ignore # BUG?: "Storage" has no attribute "load" diff --git a/src/crewai/memory/long_term/long_term_memory_item.py b/src/crewai/memory/long_term/long_term_memory_item.py index 9240036aa..b2164f242 100644 --- a/src/crewai/memory/long_term/long_term_memory_item.py +++ b/src/crewai/memory/long_term/long_term_memory_item.py @@ -1,4 +1,4 @@ -from typing import Any, Dict, Union +from typing import Any, Dict, Optional, Union class LongTermMemoryItem: @@ -8,8 +8,8 @@ class LongTermMemoryItem: task: str, expected_output: str, datetime: str, - quality: Union[int, float] = None, - metadata: Dict[str, Any] = None, + quality: Optional[Union[int, float]] = None, + metadata: Optional[Dict[str, Any]] = None, ): self.task = task self.agent = agent diff --git a/src/crewai/memory/memory.py b/src/crewai/memory/memory.py index 790b5cd49..4b8c687c0 100644 --- a/src/crewai/memory/memory.py +++ b/src/crewai/memory/memory.py @@ -1,4 +1,4 @@ -from typing import Any, Dict +from typing import Any, Dict, Optional from crewai.memory.storage.interface import Storage @@ -12,12 +12,16 @@ class Memory: self.storage = storage def save( - self, value: Any, metadata: Dict[str, Any] = None, agent: str = None + self, + value: Any, + metadata: Optional[Dict[str, Any]] = None, + agent: Optional[str] = None, ) -> None: metadata = metadata or {} if agent: metadata["agent"] = agent - self.storage.save(value, metadata) + + self.storage.save(value, metadata) # type: ignore # Maybe BUG? Should be self.storage.save(key, value, metadata) def search(self, query: str) -> Dict[str, Any]: return self.storage.search(query) diff --git a/src/crewai/memory/short_term/short_term_memory.py b/src/crewai/memory/short_term/short_term_memory.py index 9d0b4b25d..2883d4ccf 100644 --- a/src/crewai/memory/short_term/short_term_memory.py +++ b/src/crewai/memory/short_term/short_term_memory.py @@ -16,8 +16,8 @@ class ShortTermMemory(Memory): storage = RAGStorage(type="short_term", embedder_config=embedder_config) super().__init__(storage) - def save(self, item: ShortTermMemoryItem) -> None: + def save(self, item: ShortTermMemoryItem) -> None: # type: ignore # BUG?: Signature of "save" incompatible with supertype "Memory" super().save(item.data, item.metadata, item.agent) def search(self, query: str, score_threshold: float = 0.35): - return self.storage.search(query=query, score_threshold=score_threshold) + return self.storage.search(query=query, score_threshold=score_threshold) # type: ignore # BUG? The reference is to the parent class, but the parent class does not have this parameters diff --git a/src/crewai/memory/short_term/short_term_memory_item.py b/src/crewai/memory/short_term/short_term_memory_item.py index 5d46cc23c..c20c08699 100644 --- a/src/crewai/memory/short_term/short_term_memory_item.py +++ b/src/crewai/memory/short_term/short_term_memory_item.py @@ -1,8 +1,10 @@ -from typing import Any, Dict +from typing import Any, Dict, Optional class ShortTermMemoryItem: - def __init__(self, data: Any, agent: str, metadata: Dict[str, Any] = None): + def __init__( + self, data: Any, agent: str, metadata: Optional[Dict[str, Any]] = None + ): self.data = data self.agent = agent self.metadata = metadata if metadata is not None else {} diff --git a/src/crewai/memory/storage/interface.py b/src/crewai/memory/storage/interface.py index 9b35f9e32..75c5a7b7a 100644 --- a/src/crewai/memory/storage/interface.py +++ b/src/crewai/memory/storage/interface.py @@ -7,5 +7,5 @@ class Storage: def save(self, key: str, value: Any, metadata: Dict[str, Any]) -> None: pass - def search(self, key: str) -> Dict[str, Any]: + def search(self, key: str) -> Dict[str, Any]: # type: ignore pass diff --git a/src/crewai/memory/storage/ltm_sqlite_storage.py b/src/crewai/memory/storage/ltm_sqlite_storage.py index 33c401d2a..9825abad0 100644 --- a/src/crewai/memory/storage/ltm_sqlite_storage.py +++ b/src/crewai/memory/storage/ltm_sqlite_storage.py @@ -1,6 +1,6 @@ import json import sqlite3 -from typing import Any, Dict, Union +from typing import Any, Dict, List, Optional, Union from crewai.utilities import Printer from crewai.utilities.paths import db_storage_path @@ -11,7 +11,9 @@ class LTMSQLiteStorage: An updated SQLite storage class for LTM data storage. """ - def __init__(self, db_path=f"{db_storage_path()}/long_term_memory_storage.db"): + def __init__( + self, db_path: str = f"{db_storage_path()}/long_term_memory_storage.db" + ) -> None: self.db_path = db_path self._printer: Printer = Printer() self._initialize_db() @@ -67,7 +69,9 @@ class LTMSQLiteStorage: color="red", ) - def load(self, task_description: str, latest_n: int) -> Dict[str, Any]: + def load( + self, task_description: str, latest_n: int + ) -> Optional[List[Dict[str, Any]]]: """Queries the LTM table by task description with error handling.""" try: with sqlite3.connect(self.db_path) as conn: diff --git a/src/crewai/memory/storage/rag_storage.py b/src/crewai/memory/storage/rag_storage.py index fb936829e..b37a9260d 100644 --- a/src/crewai/memory/storage/rag_storage.py +++ b/src/crewai/memory/storage/rag_storage.py @@ -2,7 +2,7 @@ import contextlib import io import logging import os -from typing import Any, Dict +from typing import Any, Dict, List, Optional from embedchain import App from embedchain.llm.base import BaseLlm @@ -72,16 +72,16 @@ class RAGStorage(Storage): if allow_reset: self.app.reset() - def save(self, value: Any, metadata: Dict[str, Any]) -> None: + def save(self, value: Any, metadata: Dict[str, Any]) -> None: # type: ignore # BUG?: Should be save(key, value, metadata) Signature of "save" incompatible with supertype "Storage" self._generate_embedding(value, metadata) - def search( + def search( # type: ignore # BUG?: Signature of "search" incompatible with supertype "Storage" self, query: str, limit: int = 3, - filter: dict = None, + filter: Optional[dict] = None, score_threshold: float = 0.35, - ) -> Dict[str, Any]: + ) -> List[Any]: with suppress_logging(): try: results = ( diff --git a/src/crewai/project/crew_base.py b/src/crewai/project/crew_base.py index 93dfbc6c2..034766f36 100644 --- a/src/crewai/project/crew_base.py +++ b/src/crewai/project/crew_base.py @@ -1,11 +1,12 @@ import inspect import os from pathlib import Path -from crewai.utilities.parser import YamlParser import yaml from dotenv import load_dotenv +from crewai.utilities.parser import YamlParser + load_dotenv() @@ -41,7 +42,7 @@ def CrewBase(cls): @staticmethod def load_yaml(config_path: str): with open(config_path, "r") as file: - parsedContent = YamlParser.parse(file) + parsedContent = YamlParser.parse(file) # type: ignore # Argument 1 to "parse" has incompatible type "TextIOWrapper"; expected "YamlParser" return yaml.safe_load(parsedContent) return WrappedClass diff --git a/src/crewai/task.py b/src/crewai/task.py index 514aa53f5..5662239f1 100644 --- a/src/crewai/task.py +++ b/src/crewai/task.py @@ -41,7 +41,7 @@ class Task(BaseModel): tools_errors: int = 0 delegations: int = 0 i18n: I18N = I18N() - thread: threading.Thread = None + thread: Optional[threading.Thread] = None prompt_context: Optional[str] = None description: str = Field(description="Description of the actual task.") expected_output: str = Field( @@ -144,7 +144,7 @@ class Task(BaseModel): ) return self - def execute( + def execute( # type: ignore # Missing return statement self, agent: Agent | None = None, context: Optional[str] = None, @@ -163,13 +163,13 @@ class Task(BaseModel): ) if self.context: - context = [] + context = [] # type: ignore # Incompatible types in assignment (expression has type "list[Never]", variable has type "str | None") for task in self.context: if task.async_execution: - task.thread.join() + task.thread.join() # type: ignore # Item "None" of "Thread | None" has no attribute "join" if task and task.output: - context.append(task.output.raw_output) - context = "\n".join(context) + context.append(task.output.raw_output) # type: ignore # Item "str" of "str | None" has no attribute "append" + context = "\n".join(context) # type: ignore # Argument 1 to "join" of "str" has incompatible type "str | None"; expected "Iterable[str]" self.prompt_context = context tools = tools or self.tools @@ -250,26 +250,26 @@ class Task(BaseModel): # try to convert task_output directly to pydantic/json try: - exported_result = model.model_validate_json(result) + exported_result = model.model_validate_json(result) # type: ignore # Item "None" of "type[BaseModel] | None" has no attribute "model_validate_json" if self.output_json: - return exported_result.model_dump() + return exported_result.model_dump() # type: ignore # "str" has no attribute "model_dump" return exported_result except Exception: # sometimes the response contains valid JSON in the middle of text match = re.search(r"({.*})", result, re.DOTALL) if match: try: - exported_result = model.model_validate_json(match.group(0)) + exported_result = model.model_validate_json(match.group(0)) # type: ignore # Item "None" of "type[BaseModel] | None" has no attribute "model_validate_json" if self.output_json: - return exported_result.model_dump() + return exported_result.model_dump() # type: ignore # "str" has no attribute "model_dump" return exported_result except Exception: pass - llm = self.agent.function_calling_llm or self.agent.llm + llm = self.agent.function_calling_llm or self.agent.llm # type: ignore # Item "None" of "Agent | None" has no attribute "function_calling_llm" if not self._is_gpt(llm): - model_schema = PydanticSchemaParser(model=model).get_schema() + model_schema = PydanticSchemaParser(model=model).get_schema() # type: ignore # Argument "model" to "PydanticSchemaParser" has incompatible type "type[BaseModel] | None"; expected "type[BaseModel]" instructions = f"{instructions}\n\nThe json should have the following structure, with the following keys:\n{model_schema}" converter = Converter( @@ -290,7 +290,7 @@ class Task(BaseModel): if self.output_file: content = ( - exported_result if not self.output_pydantic else exported_result.json() + exported_result if not self.output_pydantic else exported_result.json() # type: ignore # "str" has no attribute "json" ) self._save_file(content) @@ -300,12 +300,12 @@ class Task(BaseModel): return isinstance(llm, ChatOpenAI) and llm.openai_api_base is None def _save_file(self, result: Any) -> None: - directory = os.path.dirname(self.output_file) + directory = os.path.dirname(self.output_file) # type: ignore # Value of type variable "AnyOrLiteralStr" of "dirname" cannot be "str | None" if directory and not os.path.exists(directory): os.makedirs(directory) - with open(self.output_file, "w") as file: + with open(self.output_file, "w") as file: # type: ignore # Argument 1 to "open" has incompatible type "str | None"; expected "int | str | bytes | PathLike[str] | PathLike[bytes]" file.write(result) return None diff --git a/src/crewai/tools/tool_usage.py b/src/crewai/tools/tool_usage.py index aa31adda9..fb86289e7 100644 --- a/src/crewai/tools/tool_usage.py +++ b/src/crewai/tools/tool_usage.py @@ -82,6 +82,8 @@ class ToolUsage: self._printer.print(content=f"\n\n{error}\n", color="red") self.task.increment_tools_errors() return error + + # BUG? The code below seems to be unreachable try: tool = self._select_tool(calling.tool_name) except Exception as e: @@ -89,15 +91,15 @@ class ToolUsage: self.task.increment_tools_errors() self._printer.print(content=f"\n\n{error}\n", color="red") return error - return f"{self._use(tool_string=tool_string, tool=tool, calling=calling)}" + return f"{self._use(tool_string=tool_string, tool=tool, calling=calling)}" # type: ignore # BUG?: "_use" of "ToolUsage" does not return a value (it only ever returns None) def _use( self, tool_string: str, tool: BaseTool, calling: Union[ToolCalling, InstructorToolCalling], - ) -> None: - if self._check_tool_repeated_usage(calling=calling): + ) -> None: # TODO: Fix this return type + if self._check_tool_repeated_usage(calling=calling): # type: ignore # _check_tool_repeated_usage of "ToolUsage" does not return a value (it only ever returns None) try: result = self._i18n.errors("task_repeated_usage").format( tool_names=self.tools_names @@ -108,15 +110,16 @@ class ToolUsage: tool_name=tool.name, attempts=self._run_attempts, ) - result = self._format_result(result=result) - return result + result = self._format_result(result=result) # type: ignore # "_format_result" of "ToolUsage" does not return a value (it only ever returns None) + return result # type: ignore # Fix the reutrn type of this function + except Exception: self.task.increment_tools_errors() - result = None + result = None # type: ignore # Incompatible types in assignment (expression has type "None", variable has type "str") if self.tools_handler.cache: - result = self.tools_handler.cache.read( + result = self.tools_handler.cache.read( # type: ignore # Incompatible types in assignment (expression has type "str | None", variable has type "str") tool=calling.tool_name, input=calling.arguments ) @@ -130,7 +133,7 @@ class ToolUsage: if calling.arguments: try: - acceptable_args = tool.args_schema.schema()["properties"].keys() + acceptable_args = tool.args_schema.schema()["properties"].keys() # type: ignore # Item "None" of "type[BaseModel] | None" has no attribute "schema" arguments = { k: v for k, v in calling.arguments.items() @@ -142,7 +145,7 @@ class ToolUsage: arguments = calling.arguments result = tool._run(**arguments) else: - arguments = calling.arguments.values() + arguments = calling.arguments.values() # type: ignore # Incompatible types in assignment (expression has type "dict_values[str, Any]", variable has type "dict[str, Any]") result = tool._run(*arguments) else: result = tool._run() @@ -158,9 +161,10 @@ class ToolUsage: ).message self.task.increment_tools_errors() self._printer.print(content=f"\n\n{error_message}\n", color="red") - return error + return error # type: ignore # No return value expected + self.task.increment_tools_errors() - return self.use(calling=calling, tool_string=tool_string) + return self.use(calling=calling, tool_string=tool_string) # type: ignore # No return value expected if self.tools_handler: should_cache = True @@ -169,9 +173,9 @@ class ToolUsage: ) if ( hasattr(original_tool, "cache_function") - and original_tool.cache_function + and original_tool.cache_function # type: ignore # Item "None" of "Any | None" has no attribute "cache_function" ): - should_cache = original_tool.cache_function( + should_cache = original_tool.cache_function( # type: ignore # Item "None" of "Any | None" has no attribute "cache_function" calling.arguments, result ) @@ -185,13 +189,13 @@ class ToolUsage: tool_name=tool.name, attempts=self._run_attempts, ) - result = self._format_result(result=result) - return result + result = self._format_result(result=result) # type: ignore # "_format_result" of "ToolUsage" does not return a value (it only ever returns None) + return result # type: ignore # No return value expected def _format_result(self, result: Any) -> None: self.task.used_tools += 1 - if self._should_remember_format(): - result = self._remember_format(result=result) + if self._should_remember_format(): # type: ignore # "_should_remember_format" of "ToolUsage" does not return a value (it only ever returns None) + result = self._remember_format(result=result) # type: ignore # "_remember_format" of "ToolUsage" does not return a value (it only ever returns None) return result def _should_remember_format(self) -> None: @@ -202,15 +206,15 @@ class ToolUsage: result += "\n\n" + self._i18n.slice("tools").format( tools=self.tools_description, tool_names=self.tools_names ) - return result + return result # type: ignore # No return value expected def _check_tool_repeated_usage( self, calling: Union[ToolCalling, InstructorToolCalling] ) -> None: if not self.tools_handler: - return False + return False # type: ignore # No return value expected if last_tool_usage := self.tools_handler.last_used_tool: - return (calling.tool_name == last_tool_usage.tool_name) and ( + return (calling.tool_name == last_tool_usage.tool_name) and ( # type: ignore # No return value expected calling.arguments == last_tool_usage.arguments ) @@ -292,14 +296,14 @@ class ToolUsage: tool_input = self._validate_tool_input(self.action.tool_input) arguments = ast.literal_eval(tool_input) except Exception: - return ToolUsageErrorException( + return ToolUsageErrorException( # type: ignore # Incompatible return value type (got "ToolUsageErrorException", expected "ToolCalling | InstructorToolCalling") f'{self._i18n.errors("tool_arguments_error")}' ) if not isinstance(arguments, dict): - return ToolUsageErrorException( + return ToolUsageErrorException( # type: ignore # Incompatible return value type (got "ToolUsageErrorException", expected "ToolCalling | InstructorToolCalling") f'{self._i18n.errors("tool_arguments_error")}' ) - calling = ToolCalling( + calling = ToolCalling( # type: ignore # Unexpected keyword argument "log" for "ToolCalling" tool_name=tool.name, arguments=arguments, log=tool_string, @@ -310,7 +314,7 @@ class ToolUsage: self._telemetry.tool_usage_error(llm=self.function_calling_llm) self.task.increment_tools_errors() self._printer.print(content=f"\n\n{e}\n", color="red") - return ToolUsageErrorException( + return ToolUsageErrorException( # type: ignore # Incompatible return value type (got "ToolUsageErrorException", expected "ToolCalling | InstructorToolCalling") f'{self._i18n.errors("tool_usage_error").format(error=e)}\nMoving on then. {self._i18n.slice("format").format(tool_names=self.tools_names)}' ) return self._tool_calling(tool_string) diff --git a/src/crewai/utilities/converter.py b/src/crewai/utilities/converter.py index e7b290741..48cce804a 100644 --- a/src/crewai/utilities/converter.py +++ b/src/crewai/utilities/converter.py @@ -83,5 +83,5 @@ class Converter(BaseModel): ) return new_prompt | self.llm | parser - def _is_gpt(self, llm) -> bool: + def _is_gpt(self, llm) -> bool: # type: ignore # BUG? Name "_is_gpt" defined on line 20 hides name from outer scope return isinstance(llm, ChatOpenAI) and llm.openai_api_base is None diff --git a/src/crewai/utilities/token_counter_callback.py b/src/crewai/utilities/token_counter_callback.py index a21c01f5f..963753c0a 100644 --- a/src/crewai/utilities/token_counter_callback.py +++ b/src/crewai/utilities/token_counter_callback.py @@ -22,7 +22,7 @@ class TokenProcess: def sum_successful_requests(self, requests: int): self.successful_requests = self.successful_requests + requests - def get_summary(self) -> str: + def get_summary(self) -> Dict[str, Any]: return { "total_tokens": self.total_tokens, "prompt_tokens": self.prompt_tokens,