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chore(langchain): select ALL rules with exclusions (#31930)

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Co-authored-by: Mason Daugherty <mason@langchain.dev>
This commit is contained in:
Christophe Bornet 2025-08-12 17:51:31 +02:00 committed by GitHub
parent 7f259863e1
commit 1563099f3f
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GPG Key ID: B5690EEEBB952194
15 changed files with 45 additions and 69 deletions
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2
libs/langchain/langchain/agents/agent.py
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@ -1551,7 +1551,7 @@ class AgentExecutor(Chain):
],
)
# TODO This could yield each result as it becomes available
# TODO: This could yield each result as it becomes available
for chunk in result:
yield chunk

0
libs/langchain/langchain/agents/agent_toolkits/amadeus/__init__.py Normal file
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2
libs/langchain/langchain/agents/loading.py
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@ -14,7 +14,7 @@ from langchain.agents.agent import BaseMultiActionAgent, BaseSingleActionAgent
from langchain.agents.types import AGENT_TO_CLASS
from langchain.chains.loading import load_chain, load_chain_from_config
logger = logging.getLogger(__file__)
logger = logging.getLogger(__name__)
URL_BASE = "https://raw.githubusercontent.com/hwchase17/langchain-hub/master/agents/"

2
libs/langchain/langchain/agents/openai_functions_multi_agent/base.py
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@ -72,7 +72,7 @@ def _parse_ai_message(message: BaseMessage) -> Union[list[AgentAction], AgentFin
del _tool_input["action_name"]
function_name = tool_schema["action_name"]
# HACK HACK HACK:
# A hack here:
# The code that encodes tool input into Open AI uses a special variable
# name called `__arg1` to handle old style tools that do not expose a
# schema and expect a single string argument as an input.

2
libs/langchain/langchain/agents/output_parsers/openai_functions.py
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@ -55,7 +55,7 @@ class OpenAIFunctionsAgentOutputParser(AgentOutputParser):
)
raise OutputParserException(msg) from e
# HACK HACK HACK:
# A hack here:
# The code that encodes tool input into Open AI uses a special variable
# name called `__arg1` to handle old style tools that do not expose a
# schema and expect a single string argument as an input.

2
libs/langchain/langchain/agents/output_parsers/tools.py
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@ -56,7 +56,7 @@ def parse_ai_message_to_tool_action(
)
raise OutputParserException(msg) from e
for tool_call in tool_calls:
# HACK HACK HACK:
# A hack here:
# The code that encodes tool input into Open AI uses a special variable
# name called `__arg1` to handle old style tools that do not expose a
# schema and expect a single string argument as an input.

4
libs/langchain/langchain/callbacks/streaming_aiter.py
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@ -8,7 +8,7 @@ from langchain_core.callbacks import AsyncCallbackHandler
from langchain_core.outputs import LLMResult
from typing_extensions import override
# TODO If used by two LLM runs in parallel this won't work as expected
# TODO: If used by two LLM runs in parallel this won't work as expected
class AsyncIteratorCallbackHandler(AsyncCallbackHandler):
@ -51,7 +51,7 @@ class AsyncIteratorCallbackHandler(AsyncCallbackHandler):
async def on_llm_error(self, error: BaseException, **kwargs: Any) -> None:
self.done.set()
# TODO implement the other methods
# TODO: implement the other methods
async def aiter(self) -> AsyncIterator[str]:
"""Asynchronous iterator that yields tokens."""

5
libs/langchain/langchain/chains/natbot/crawler.py
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@ -1,3 +1,4 @@
import logging
import time
from sys import platform
from typing import (
@ -11,6 +12,8 @@ from typing import (
if TYPE_CHECKING:
from playwright.sync_api import Browser, CDPSession, Page
logger = logging.getLogger(__name__)
black_listed_elements: set[str] = {
"html",
"head",
@ -298,7 +301,7 @@ class Crawler:
try:
cursor = layout_node_index.index(index)
# TODO replace this with proper cursoring, ignoring the fact this is
# TODO: replace this with proper cursoring, ignoring the fact this is
# O(n^2) for the moment
except ValueError:
continue

10
libs/langchain/langchain/chat_models/base.py
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@ -535,12 +535,6 @@ def _check_pkg(pkg: str, *, pkg_kebab: Optional[str] = None) -> None:
raise ImportError(msg)
def _remove_prefix(s: str, prefix: str) -> str:
if s.startswith(prefix):
s = s[len(prefix) :]
return s
_DECLARATIVE_METHODS = ("bind_tools", "with_structured_output")
@ -608,7 +602,7 @@ class _ConfigurableModel(Runnable[LanguageModelInput, Any]):
def _model_params(self, config: Optional[RunnableConfig]) -> dict:
config = ensure_config(config)
model_params = {
_remove_prefix(k, self._config_prefix): v
k.removeprefix(self._config_prefix): v
for k, v in config.get("configurable", {}).items()
if k.startswith(self._config_prefix)
}
@ -630,7 +624,7 @@ class _ConfigurableModel(Runnable[LanguageModelInput, Any]):
remaining_config["configurable"] = {
k: v
for k, v in config.get("configurable", {}).items()
if _remove_prefix(k, self._config_prefix) not in model_params
if k.removeprefix(self._config_prefix) not in model_params
}
queued_declarative_operations = list(self._queued_declarative_operations)
if remaining_config:

77
libs/langchain/pyproject.toml
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@ -143,70 +143,42 @@ ignore-regex = ".*(Stati Uniti|Tense=Pres).*"
ignore-words-list = "momento,collison,ned,foor,reworkd,parth,whats,aapply,mysogyny,unsecure,damon,crate,aadd,symbl,precesses,accademia,nin"
[tool.ruff.lint]
select = [
"A", # flake8-builtins
"ARG", # flake8-unused-arguments
"ASYNC", # flake8-async
"B", # flake8-bugbear
"C4", # flake8-comprehensions
"COM", # flake8-commas
"D1", # pydocstyle: missing docstring
"DTZ", # flake8-datetimez
"E", # pycodestyle error
"EM", # flake8-errmsg
"F", # pyflakes
"FA", # flake8-future-annotations
"FBT", # flake8-boolean-trap
"FLY", # flake8-flynt
"G", # flake8-logging-format
"I", # isort
"ICN", # flake8-import-conventions
"INT", # flake8-gettext
"ISC", # isort-comprehensions
"PERF", # flake8-perf
"PGH", # pygrep-hooks
"PIE", # flake8-pie
"PL", # pylint
"PT", # flake8-pytest-style
"PTH", # flake8-use-pathlib
"PYI", # flake8-pyi
"Q", # flake8-quotes
"RET", # flake8-return
"RSE", # flake8-rst-docstrings
"RUF", # ruff
"S", # flake8-bandit
"SIM", # flake8-simplify
"SLF", # flake8-self
"SLOT", # flake8-slots
"T10", # flake8-debugger
"T20", # flake8-print
"TC", # flake8-type-checking
"TID", # flake8-tidy-imports
"TRY", # tryceratops
"UP", # pyupgrade
"W", # pycodestyle warning
"YTT", # flake8-2020
]
select = [ "ALL",]
ignore = [
"C90", # McCabe complexity
"COM812", # Messes with the formatter
"ISC001", # Messes with the formatter
"FIX002", # Line contains TODO
"PERF203", # Rarely useful
"PLR09", # Too many something (args, statements, etc)
"S112", # Rarely useful
"PLR09", # Too many something (arg, statements, etc)
"RUF012", # Doesn't play well with Pydantic
"TC001", # Doesn't play well with Pydantic
"TC002", # Doesn't play well with Pydantic
"TC003", # Doesn't play well with Pydantic
"UP007", # pyupgrade: non-pep604-annotation-union
"TD002", # Missing author in TODO
"TD003", # Missing issue link in TODO
# TODO rules
"ANN401",
"BLE",
"D100", # pydocstyle: missing docstring in public module
"D104", # pydocstyle: missing docstring in public package
"D2",
"D3",
"D4",
"ERA",
"N",
"PLC0415", # pylint: import-outside-top-level
"TRY301", # tryceratops: raise-within-try
]
unfixable = ["B028"] # People should intentionally tune the stacklevel
unfixable = [
"B028", # People should intentionally tune the stacklevel
"PLW1510", # People should intentionally set the check argument
]
flake8-annotations.allow-star-arg-any = true
flake8-annotations.mypy-init-return = true
flake8-type-checking.runtime-evaluated-base-classes = ["pydantic.BaseModel","langchain_core.load.serializable.Serializable","langchain_core.runnables.base.RunnableSerializable"]
pep8-naming.classmethod-decorators = [ "classmethod", "langchain_core.utils.pydantic.pre_init", "pydantic.field_validator", "pydantic.v1.root_validator",]
pydocstyle.convention = "google"
pyupgrade.keep-runtime-typing = true
@ -218,6 +190,13 @@ pyupgrade.keep-runtime-typing = true
"SLF001", # Private member access in tests
"PLR2004", # Magic value comparisons
]
"tests/integration_tests/examples/*.py" = [
"INP001", # Not a package
"EXE001", # Only examples
]
"scripts/*.py" = [
"INP001", # Not a package
]
"langchain/chains/constitutional_ai/principles.py" = [
"E501", # Line too long
]

0
libs/langchain/tests/integration_tests/evaluation/embedding_distance/__init__.py Normal file
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0
libs/langchain/tests/unit_tests/_api/__init__.py Normal file
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4
libs/langchain/tests/unit_tests/agents/test_agent_iterator.py
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@ -229,8 +229,8 @@ def test_agent_iterator_properties_and_setters() -> None:
assert isinstance(agent_iter, AgentExecutorIterator)
assert isinstance(agent_iter.inputs, dict)
assert isinstance(agent_iter.callbacks, type(None))
assert isinstance(agent_iter.tags, type(None))
assert agent_iter.callbacks is None
assert agent_iter.tags is None
assert isinstance(agent_iter.agent_executor, AgentExecutor)
agent_iter.inputs = "New input" # type: ignore[assignment]

4
libs/langchain/tests/unit_tests/chains/test_hyde.py
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@ -22,12 +22,12 @@ class FakeEmbeddings(Embeddings):
@override
def embed_documents(self, texts: list[str]) -> list[list[float]]:
"""Return random floats."""
return [list(np.random.uniform(0, 1, 10)) for _ in range(10)]
return [list(np.random.default_rng().uniform(0, 1, 10)) for _ in range(10)]
@override
def embed_query(self, text: str) -> list[float]:
"""Return random floats."""
return list(np.random.uniform(0, 1, 10))
return list(np.random.default_rng().uniform(0, 1, 10))
class FakeLLM(BaseLLM):

0
libs/langchain/tests/unit_tests/evaluation/regex_match/__init__.py Normal file
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