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infra: update mypy 1.10, ruff 0.5 (#23721)
```python """python scripts/update_mypy_ruff.py""" import glob import tomllib from pathlib import Path import toml import subprocess import re ROOT_DIR = Path(__file__).parents[1] def main(): for path in glob.glob(str(ROOT_DIR / "libs/**/pyproject.toml"), recursive=True): print(path) with open(path, "rb") as f: pyproject = tomllib.load(f) try: pyproject["tool"]["poetry"]["group"]["typing"]["dependencies"]["mypy"] = ( "^1.10" ) pyproject["tool"]["poetry"]["group"]["lint"]["dependencies"]["ruff"] = ( "^0.5" ) except KeyError: continue with open(path, "w") as f: toml.dump(pyproject, f) cwd = "/".join(path.split("/")[:-1]) completed = subprocess.run( "poetry lock --no-update; poetry install --with typing; poetry run mypy . --no-color", cwd=cwd, shell=True, capture_output=True, text=True, ) logs = completed.stdout.split("\n") to_ignore = {} for l in logs: if re.match("^(.*)\:(\d+)\: error:.*\[(.*)\]", l): path, line_no, error_type = re.match( "^(.*)\:(\d+)\: error:.*\[(.*)\]", l ).groups() if (path, line_no) in to_ignore: to_ignore[(path, line_no)].append(error_type) else: to_ignore[(path, line_no)] = [error_type] print(len(to_ignore)) for (error_path, line_no), error_types in to_ignore.items(): all_errors = ", ".join(error_types) full_path = f"{cwd}/{error_path}" try: with open(full_path, "r") as f: file_lines = f.readlines() except FileNotFoundError: continue file_lines[int(line_no) - 1] = ( file_lines[int(line_no) - 1][:-1] + f" # type: ignore[{all_errors}]\n" ) with open(full_path, "w") as f: f.write("".join(file_lines)) subprocess.run( "poetry run ruff format .; poetry run ruff --select I --fix .", cwd=cwd, shell=True, capture_output=True, text=True, ) if __name__ == "__main__": main() ```
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@@ -664,8 +664,7 @@ class AzureChatOpenAI(BaseChatOpenAI):
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method: Literal["function_calling", "json_mode"] = "function_calling",
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include_raw: Literal[True] = True,
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**kwargs: Any,
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) -> Runnable[LanguageModelInput, _AllReturnType]:
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...
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) -> Runnable[LanguageModelInput, _AllReturnType]: ...
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@overload
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def with_structured_output(
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@@ -675,8 +674,7 @@ class AzureChatOpenAI(BaseChatOpenAI):
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method: Literal["function_calling", "json_mode"] = "function_calling",
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include_raw: Literal[False] = False,
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**kwargs: Any,
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) -> Runnable[LanguageModelInput, _DictOrPydantic]:
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...
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) -> Runnable[LanguageModelInput, _DictOrPydantic]: ...
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def with_structured_output(
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self,
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@@ -868,7 +866,8 @@ class AzureChatOpenAI(BaseChatOpenAI):
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llm = self.bind_tools([schema], tool_choice=tool_name)
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if is_pydantic_schema:
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output_parser: OutputParserLike = PydanticToolsParser(
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tools=[schema], first_tool_only=True
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tools=[schema], # type: ignore[list-item]
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first_tool_only=True, # type: ignore[list-item]
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)
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else:
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output_parser = JsonOutputKeyToolsParser(
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@@ -877,7 +876,7 @@ class AzureChatOpenAI(BaseChatOpenAI):
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elif method == "json_mode":
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llm = self.bind(response_format={"type": "json_object"})
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output_parser = (
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PydanticOutputParser(pydantic_object=schema)
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PydanticOutputParser(pydantic_object=schema) # type: ignore[arg-type]
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if is_pydantic_schema
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else JsonOutputParser()
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)
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