From 748e778d249dda26a61837117d9d68148607cdf1 Mon Sep 17 00:00:00 2001 From: cbornet Date: Fri, 18 Apr 2025 11:54:08 +0200 Subject: [PATCH] text-splitters: Set strict mypy rules --- libs/text-splitters/Makefile | 6 +- .../langchain_text_splitters/base.py | 2 +- .../langchain_text_splitters/html.py | 24 +++--- .../langchain_text_splitters/json.py | 22 ++--- .../langchain_text_splitters/markdown.py | 6 +- .../sentence_transformers.py | 6 +- libs/text-splitters/pyproject.toml | 10 ++- .../test_nlp_text_splitters.py | 2 +- libs/text-splitters/uv.lock | 82 ++++++++++--------- 9 files changed, 82 insertions(+), 78 deletions(-) diff --git a/libs/text-splitters/Makefile b/libs/text-splitters/Makefile index 6e301222fab69..e76de79860e83 100644 --- a/libs/text-splitters/Makefile +++ b/libs/text-splitters/Makefile @@ -43,9 +43,9 @@ lint_tests: MYPY_CACHE=.mypy_cache_test lint lint_diff lint_package lint_tests: ./scripts/lint_imports.sh - [ "$(PYTHON_FILES)" = "" ] || uv run --group typing --group lint ruff check $(PYTHON_FILES) - [ "$(PYTHON_FILES)" = "" ] || uv run --group typing --group lint ruff format $(PYTHON_FILES) --diff - [ "$(PYTHON_FILES)" = "" ] || mkdir -p $(MYPY_CACHE) && uv run --group typing --group lint mypy $(PYTHON_FILES) --cache-dir $(MYPY_CACHE) + [ "$(PYTHON_FILES)" = "" ] || uv run --all-groups ruff check $(PYTHON_FILES) + [ "$(PYTHON_FILES)" = "" ] || uv run --all-groups ruff format $(PYTHON_FILES) --diff + [ "$(PYTHON_FILES)" = "" ] || mkdir -p $(MYPY_CACHE) && uv run --all-groups mypy $(PYTHON_FILES) --cache-dir $(MYPY_CACHE) format format_diff: [ "$(PYTHON_FILES)" = "" ] || uv run --all-groups ruff format $(PYTHON_FILES) diff --git a/libs/text-splitters/langchain_text_splitters/base.py b/libs/text-splitters/langchain_text_splitters/base.py index c94c171c3ccc8..d096299bbac6b 100644 --- a/libs/text-splitters/langchain_text_splitters/base.py +++ b/libs/text-splitters/langchain_text_splitters/base.py @@ -68,7 +68,7 @@ def split_text(self, text: str) -> List[str]: """Split text into multiple components.""" def create_documents( - self, texts: List[str], metadatas: Optional[List[dict]] = None + self, texts: list[str], metadatas: Optional[list[dict[Any, Any]]] = None ) -> List[Document]: """Create documents from a list of texts.""" _metadatas = metadatas or [{}] * len(texts) diff --git a/libs/text-splitters/langchain_text_splitters/html.py b/libs/text-splitters/langchain_text_splitters/html.py index 3bd0c425b965d..a0c192ac5be55 100644 --- a/libs/text-splitters/langchain_text_splitters/html.py +++ b/libs/text-splitters/langchain_text_splitters/html.py @@ -353,8 +353,8 @@ def split_text(self, text: str) -> List[Document]: return self.split_text_from_file(StringIO(text)) def create_documents( - self, texts: List[str], metadatas: Optional[List[dict]] = None - ) -> List[Document]: + self, texts: list[str], metadatas: Optional[list[dict[Any, Any]]] = None + ) -> list[Document]: """Create documents from a list of texts.""" _metadatas = metadatas or [{}] * len(texts) documents = [] @@ -389,10 +389,8 @@ def split_html_by_headers(self, html_doc: str) -> List[Dict[str, Optional[str]]] - 'tag_name': The name of the header tag (e.g., "h1", "h2"). """ try: - from bs4 import ( - BeautifulSoup, # type: ignore[import-untyped] - PageElement, - ) + from bs4 import BeautifulSoup + from bs4.element import PageElement except ImportError as e: raise ImportError( "Unable to import BeautifulSoup/PageElement, \ @@ -411,13 +409,13 @@ def split_html_by_headers(self, html_doc: str) -> List[Dict[str, Optional[str]]] if i == 0: current_header = "#TITLE#" current_header_tag = "h1" - section_content: List = [] + section_content: list[str] = [] else: current_header = header_element.text.strip() current_header_tag = header_element.name # type: ignore[attr-defined] section_content = [] for element in header_element.next_elements: - if i + 1 < len(headers) and element == headers[i + 1]: + if i + 1 < len(headers) and element == headers[i + 1]: # type: ignore[comparison-overlap] break if isinstance(element, str): section_content.append(element) @@ -637,8 +635,8 @@ def __init__( if self._stopword_removal: try: - import nltk # type: ignore - from nltk.corpus import stopwords # type: ignore + import nltk + from nltk.corpus import stopwords # type: ignore[import-untyped] nltk.download("stopwords") self._stopwords = set(stopwords.words(self._stopword_lang)) @@ -902,7 +900,7 @@ def _process_element( return documents def _create_documents( - self, headers: dict, content: str, preserved_elements: dict + self, headers: dict[str, str], content: str, preserved_elements: dict[str, str] ) -> List[Document]: """Creates Document objects from the provided headers, content, and elements. @@ -928,7 +926,7 @@ def _create_documents( return self._further_split_chunk(content, metadata, preserved_elements) def _further_split_chunk( - self, content: str, metadata: dict, preserved_elements: dict + self, content: str, metadata: dict[Any, Any], preserved_elements: dict[str, str] ) -> List[Document]: """Further splits the content into smaller chunks. @@ -959,7 +957,7 @@ def _further_split_chunk( return result def _reinsert_preserved_elements( - self, content: str, preserved_elements: dict + self, content: str, preserved_elements: dict[str, str] ) -> str: """Reinserts preserved elements into the content into their original positions. diff --git a/libs/text-splitters/langchain_text_splitters/json.py b/libs/text-splitters/langchain_text_splitters/json.py index c58174dd8b33a..15df83446b364 100644 --- a/libs/text-splitters/langchain_text_splitters/json.py +++ b/libs/text-splitters/langchain_text_splitters/json.py @@ -49,12 +49,12 @@ def __init__( ) @staticmethod - def _json_size(data: Dict) -> int: + def _json_size(data: dict[str, Any]) -> int: """Calculate the size of the serialized JSON object.""" return len(json.dumps(data)) @staticmethod - def _set_nested_dict(d: Dict, path: List[str], value: Any) -> None: + def _set_nested_dict(d: dict[str, Any], path: list[str], value: Any) -> None: """Set a value in a nested dictionary based on the given path.""" for key in path[:-1]: d = d.setdefault(key, {}) @@ -76,10 +76,10 @@ def _list_to_dict_preprocessing(self, data: Any) -> Any: def _json_split( self, - data: Dict[str, Any], - current_path: Optional[List[str]] = None, - chunks: Optional[List[Dict]] = None, - ) -> List[Dict]: + data: dict[str, Any], + current_path: Optional[list[str]] = None, + chunks: Optional[list[dict[str, Any]]] = None, + ) -> list[dict[str, Any]]: """Split json into maximum size dictionaries while preserving structure.""" current_path = current_path or [] chunks = chunks if chunks is not None else [{}] @@ -107,9 +107,9 @@ def _json_split( def split_json( self, - json_data: Dict[str, Any], + json_data: dict[str, Any], convert_lists: bool = False, - ) -> List[Dict]: + ) -> list[dict[str, Any]]: """Splits JSON into a list of JSON chunks.""" if convert_lists: chunks = self._json_split(self._list_to_dict_preprocessing(json_data)) @@ -135,11 +135,11 @@ def split_text( def create_documents( self, - texts: List[Dict], + texts: list[dict[str, Any]], convert_lists: bool = False, ensure_ascii: bool = True, - metadatas: Optional[List[dict]] = None, - ) -> List[Document]: + metadatas: Optional[list[dict[Any, Any]]] = None, + ) -> list[Document]: """Create documents from a list of json objects (Dict).""" _metadatas = metadatas or [{}] * len(texts) documents = [] diff --git a/libs/text-splitters/langchain_text_splitters/markdown.py b/libs/text-splitters/langchain_text_splitters/markdown.py index 9f1f9b50e9d40..1db585bef46ba 100644 --- a/libs/text-splitters/langchain_text_splitters/markdown.py +++ b/libs/text-splitters/langchain_text_splitters/markdown.py @@ -404,18 +404,18 @@ def _complete_chunk_doc(self) -> None: self.current_chunk = Document(page_content="") # Match methods - def _match_header(self, line: str) -> Union[re.Match, None]: + def _match_header(self, line: str) -> Union[re.Match[str], None]: match = re.match(r"^(#{1,6}) (.*)", line) # Only matches on the configured headers if match and match.group(1) in self.splittable_headers: return match return None - def _match_code(self, line: str) -> Union[re.Match, None]: + def _match_code(self, line: str) -> Union[re.Match[str], None]: matches = [re.match(rule, line) for rule in [r"^```(.*)", r"^~~~(.*)"]] return next((match for match in matches if match), None) - def _match_horz(self, line: str) -> Union[re.Match, None]: + def _match_horz(self, line: str) -> Union[re.Match[str], None]: matches = [ re.match(rule, line) for rule in [r"^\*\*\*+\n", r"^---+\n", r"^___+\n"] ] diff --git a/libs/text-splitters/langchain_text_splitters/sentence_transformers.py b/libs/text-splitters/langchain_text_splitters/sentence_transformers.py index 2a42e3b9f8b57..d22ce1036aef2 100644 --- a/libs/text-splitters/langchain_text_splitters/sentence_transformers.py +++ b/libs/text-splitters/langchain_text_splitters/sentence_transformers.py @@ -35,7 +35,7 @@ def __init__( def _initialize_chunk_configuration( self, *, tokens_per_chunk: Optional[int] ) -> None: - self.maximum_tokens_per_chunk = cast(int, self._model.max_seq_length) + self.maximum_tokens_per_chunk = self._model.max_seq_length if tokens_per_chunk is None: self.tokens_per_chunk = self.maximum_tokens_per_chunk @@ -93,10 +93,10 @@ def count_tokens(self, *, text: str) -> int: _max_length_equal_32_bit_integer: int = 2**32 - def _encode(self, text: str) -> List[int]: + def _encode(self, text: str) -> list[int]: token_ids_with_start_and_end_token_ids = self.tokenizer.encode( text, max_length=self._max_length_equal_32_bit_integer, truncation="do_not_truncate", ) - return token_ids_with_start_and_end_token_ids + return cast("list[int]", token_ids_with_start_and_end_token_ids) diff --git a/libs/text-splitters/pyproject.toml b/libs/text-splitters/pyproject.toml index da929eb6c5dbf..b8f0e42512adc 100644 --- a/libs/text-splitters/pyproject.toml +++ b/libs/text-splitters/pyproject.toml @@ -20,7 +20,7 @@ repository = "https://github.com/langchain-ai/langchain" [dependency-groups] lint = ["ruff<1.0.0,>=0.9.2", "langchain-core"] typing = [ - "mypy<2.0,>=1.10", + "mypy<2.0,>=1.15", "lxml-stubs<1.0.0,>=0.5.1", "types-requests<3.0.0.0,>=2.31.0.20240218", "tiktoken<1.0.0,>=0.8.0", @@ -48,7 +48,11 @@ test_integration = [ langchain-core = { path = "../core", editable = true } [tool.mypy] -disallow_untyped_defs = "True" +strict = "True" +strict_bytes = "True" +enable_error_code = "deprecated" +report_deprecated_as_note = "True" + [[tool.mypy.overrides]] module = [ "transformers", @@ -70,7 +74,7 @@ ignore_missing_imports = "True" target-version = "py39" [tool.ruff.lint] -select = ["E", "F", "I", "T201", "D"] +select = ["E", "F", "I", "PGH003", "T201", "D"] ignore = ["D100"] [tool.coverage.run] diff --git a/libs/text-splitters/tests/integration_tests/test_nlp_text_splitters.py b/libs/text-splitters/tests/integration_tests/test_nlp_text_splitters.py index 7ebed6e54ae18..79e20455ae2bd 100644 --- a/libs/text-splitters/tests/integration_tests/test_nlp_text_splitters.py +++ b/libs/text-splitters/tests/integration_tests/test_nlp_text_splitters.py @@ -20,7 +20,7 @@ def spacy() -> Any: import spacy except ImportError: pytest.skip("Spacy not installed.") - spacy.cli.download("en_core_web_sm") # type: ignore + spacy.cli.download("en_core_web_sm") # type: ignore[attr-defined,operator,unused-ignore] return spacy diff --git a/libs/text-splitters/uv.lock b/libs/text-splitters/uv.lock index e8bc7fb6c2934..2435585af8c1a 100644 --- a/libs/text-splitters/uv.lock +++ b/libs/text-splitters/uv.lock @@ -1,4 +1,5 @@ version = 1 +revision = 1 requires-python = ">=3.9, <4.0" resolution-markers = [ "python_full_version >= '3.12.4'", @@ -1079,7 +1080,7 @@ wheels = [ [[package]] name = "langchain-core" -version = "0.3.51" +version = "0.3.52" source = { editable = "../core" } dependencies = [ { name = "jsonpatch" }, @@ -1115,10 +1116,12 @@ test = [ { name = "freezegun", specifier = ">=1.2.2,<2.0.0" }, { name = "grandalf", specifier = ">=0.8,<1.0" }, { name = "langchain-tests", 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