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text-splitters: Set strict mypy rules (#30900)

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* Add strict mypy rules
* Fix mypy violations
* Add error codes to all type ignores
* Add ruff rule PGH003
* Bump mypy version to 1.15
This commit is contained in:
Christophe Bornet 2025-04-23 06:41:24 +03:00 committed by GitHub
parent eedda164c6
commit 8c5ae108dd
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GPG Key ID: B5690EEEBB952194
9 changed files with 81 additions and 77 deletions
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6
libs/text-splitters/Makefile
View File

@ -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)

2
libs/text-splitters/langchain_text_splitters/base.py
View File

@ -68,7 +68,7 @@ class TextSplitter(BaseDocumentTransformer, ABC):
"""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)

24
libs/text-splitters/langchain_text_splitters/html.py
View File

@ -353,8 +353,8 @@ class HTMLSectionSplitter:
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 @@ class HTMLSectionSplitter:
- '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 @@ class HTMLSectionSplitter:
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 @@ class HTMLSemanticPreservingSplitter(BaseDocumentTransformer):
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 @@ class HTMLSemanticPreservingSplitter(BaseDocumentTransformer):
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 @@ class HTMLSemanticPreservingSplitter(BaseDocumentTransformer):
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 @@ class HTMLSemanticPreservingSplitter(BaseDocumentTransformer):
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.

22
libs/text-splitters/langchain_text_splitters/json.py
View File

@ -49,12 +49,12 @@ class RecursiveJsonSplitter:
)
@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 @@ class RecursiveJsonSplitter:
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 @@ class RecursiveJsonSplitter:
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 @@ class RecursiveJsonSplitter:
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 = []

6
libs/text-splitters/langchain_text_splitters/markdown.py
View File

@ -404,18 +404,18 @@ class ExperimentalMarkdownSyntaxTextSplitter:
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"]
]

6
libs/text-splitters/langchain_text_splitters/sentence_transformers.py
View File

@ -35,7 +35,7 @@ class SentenceTransformersTokenTextSplitter(TextSplitter):
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 @@ class SentenceTransformersTokenTextSplitter(TextSplitter):
_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)

10
libs/text-splitters/pyproject.toml
View File

@ -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]

2
libs/text-splitters/tests/integration_tests/test_nlp_text_splitters.py
View File

@ -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

80
libs/text-splitters/uv.lock
View File

@ -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", directory = "../standard-tests" },
{ name = "numpy", marker = "python_full_version < '3.12'", specifier = ">=1.24.0,<2.0.0" },
{ name = "numpy", marker = "python_full_version >= '3.12'", specifier = ">=1.26.0,<3" },
{ name = "numpy", marker = "python_full_version < '3.13'", specifier = ">=1.26.4" },
{ name = "numpy", marker = "python_full_version >= '3.13'", specifier = ">=2.1.0" },
{ name = "pytest", specifier = ">=8,<9" },
{ name = "pytest-asyncio", specifier = ">=0.21.1,<1.0.0" },
{ name = "pytest-benchmark" },
{ name = "pytest-codspeed" },
{ name = "pytest-mock", specifier = ">=3.10.0,<4.0.0" },
{ name = "pytest-socket", specifier = ">=0.7.0,<1.0.0" },
{ name = "pytest-watcher", specifier = ">=0.3.4,<1.0.0" },
@ -1129,8 +1132,7 @@ test = [
test-integration = []
typing = [
{ name = "langchain-text-splitters", directory = "." },
{ name = "mypy", specifier = ">=1.10,<1.11" },
{ name = "types-jinja2", specifier = ">=2.11.9,<3.0.0" },
{ name = "mypy", specifier = ">=1.15,<1.16" },
{ name = "types-pyyaml", specifier = ">=6.0.12.2,<7.0.0.0" },
{ name = "types-requests", specifier = ">=2.28.11.5,<3.0.0.0" },
]
@ -1207,7 +1209,7 @@ test-integration = [
]
typing = [
{ name = "lxml-stubs", specifier = ">=0.5.1,<1.0.0" },
{ name = "mypy", specifier = ">=1.10,<2.0" },
{ name = "mypy", specifier = ">=1.15,<2.0" },
{ name = "tiktoken", specifier = ">=0.8.0,<1.0.0" },
{ name = "types-requests", specifier = ">=2.31.0.20240218,<3.0.0.0" },
]
@ -1495,46 +1497,46 @@ wheels = [
[[package]]
name = "mypy"
version = "1.14.1"
version = "1.15.0"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "mypy-extensions" },
{ name = "tomli", marker = "python_full_version < '3.11'" },
{ name = "typing-extensions" },
]
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