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ollama[patch]: ruff fixes and rules (#31924)

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* bump ruff deps
* add more thorough ruff rules
* fix said rules
This commit is contained in:
Mason Daugherty 2025-07-08 13:42:19 -04:00 committed by GitHub
parent 4d9eefecab
commit 1f829aacf4
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GPG Key ID: B5690EEEBB952194
11 changed files with 179 additions and 108 deletions
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5
libs/partners/ollama/Makefile
View File

@ -41,13 +41,14 @@ lint_tests: PYTHON_FILES=tests
lint_tests: MYPY_CACHE=.mypy_cache_test
lint lint_diff lint_package lint_tests:
[ "$(PYTHON_FILES)" = "" ] || uv run --all-groups ruff $(PYTHON_FILES)
[ "$(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 $(PYTHON_FILES)
[ "$(PYTHON_FILES)" = "" ] || uv run --all-groups ruff --fix $(PYTHON_FILES)
[ "$(PYTHON_FILES)" = "" ] || uv run --all-groups ruff check --fix $(PYTHON_FILES)
spell_check:
uv run --all-groups codespell --toml pyproject.toml

2
libs/partners/ollama/langchain_ollama/__init__.py
View File

@ -18,7 +18,7 @@ del metadata # optional, avoids polluting the results of dir(__package__)
__all__ = [
"ChatOllama",
"OllamaLLM",
"OllamaEmbeddings",
"OllamaLLM",
"__version__",
]

13
libs/partners/ollama/langchain_ollama/_utils.py
View File

@ -20,18 +20,21 @@ def validate_model(client: Client, model_name: str) -> None:
if not any(
model_name == m or m.startswith(f"{model_name}:") for m in model_names
):
raise ValueError(
msg = (
f"Model `{model_name}` not found in Ollama. Please pull the "
f"model (using `ollama pull {model_name}`) or specify a valid "
f"model name. Available local models: {', '.join(model_names)}"
)
raise ValueError(msg)
except ConnectError as e:
raise ValueError(
msg = (
"Connection to Ollama failed. Please make sure Ollama is running "
f"and accessible at {client._client.base_url}. "
) from e
)
raise ValueError(msg) from e
except ResponseError as e:
raise ValueError(
msg = (
"Received an error from the Ollama API. "
"Please check your Ollama server logs."
) from e
)
raise ValueError(msg) from e

88
libs/partners/ollama/langchain_ollama/chat_models.py
View File

@ -1,5 +1,7 @@
"""Ollama chat models."""
from __future__ import annotations
import json
from collections.abc import AsyncIterator, Iterator, Mapping, Sequence
from operator import itemgetter
@ -74,7 +76,9 @@ def _get_usage_metadata_from_generation_info(
def _parse_json_string(
json_string: str, raw_tool_call: dict[str, Any], skip: bool
json_string: str,
raw_tool_call: dict[str, Any],
skip: bool, # noqa: FBT001
) -> Any:
"""Attempt to parse a JSON string for tool calling.
@ -148,16 +152,19 @@ def _get_tool_calls_from_response(
) -> list[ToolCall]:
"""Get tool calls from ollama response."""
tool_calls = []
if "message" in response:
if raw_tool_calls := response["message"].get("tool_calls"):
for tc in raw_tool_calls:
tool_calls.append(
tool_call(
id=str(uuid4()),
name=tc["function"]["name"],
args=_parse_arguments_from_tool_call(tc) or {},
)
if "message" in response and (
raw_tool_calls := response["message"].get("tool_calls")
):
tool_calls.extend(
[
tool_call(
id=str(uuid4()),
name=tc["function"]["name"],
args=_parse_arguments_from_tool_call(tc) or {},
)
for tc in raw_tool_calls
]
)
return tool_calls
@ -178,14 +185,12 @@ def _get_image_from_data_content_block(block: dict) -> str:
if block["type"] == "image":
if block["source_type"] == "base64":
return block["data"]
else:
error_message = "Image data only supported through in-line base64 format."
raise ValueError(error_message)
else:
error_message = f"Blocks of type {block['type']} not supported."
error_message = "Image data only supported through in-line base64 format."
raise ValueError(error_message)
error_message = f"Blocks of type {block['type']} not supported."
raise ValueError(error_message)
def _is_pydantic_class(obj: Any) -> bool:
return isinstance(obj, type) and is_basemodel_subclass(obj)
@ -459,7 +464,7 @@ class ChatOllama(BaseChatModel):
"""Base url the model is hosted under."""
client_kwargs: Optional[dict] = {}
"""Additional kwargs to pass to the httpx clients.
"""Additional kwargs to pass to the httpx clients.
These arguments are passed to both synchronous and async clients.
Use sync_client_kwargs and async_client_kwargs to pass different arguments
to synchronous and asynchronous clients.
@ -496,7 +501,8 @@ class ChatOllama(BaseChatModel):
ollama_messages = self._convert_messages_to_ollama_messages(messages)
if self.stop is not None and stop is not None:
raise ValueError("`stop` found in both the input and default params.")
msg = "`stop` found in both the input and default params."
raise ValueError(msg)
if self.stop is not None:
stop = self.stop
@ -584,7 +590,8 @@ class ChatOllama(BaseChatModel):
role = "tool"
tool_call_id = message.tool_call_id
else:
raise ValueError("Received unsupported message type for Ollama.")
msg = "Received unsupported message type for Ollama."
raise ValueError(msg)
content = ""
images = []
@ -608,10 +615,11 @@ class ChatOllama(BaseChatModel):
):
image_url = temp_image_url["url"]
else:
raise ValueError(
msg = (
"Only string image_url or dict with string 'url' "
"inside content parts are supported."
)
raise ValueError(msg)
image_url_components = image_url.split(",")
# Support data:image/jpeg;base64,<image> format
@ -624,22 +632,24 @@ class ChatOllama(BaseChatModel):
image = _get_image_from_data_content_block(content_part)
images.append(image)
else:
raise ValueError(
msg = (
"Unsupported message content type. "
"Must either have type 'text' or type 'image_url' "
"with a string 'image_url' field."
)
# Should convert to ollama.Message once role includes tool, and tool_call_id is in Message # noqa: E501
msg: dict = {
raise ValueError(msg)
# Should convert to ollama.Message once role includes tool,
# and tool_call_id is in Message
msg_: dict = {
"role": role,
"content": content,
"images": images,
}
if tool_calls:
msg["tool_calls"] = tool_calls
msg_["tool_calls"] = tool_calls
if tool_call_id:
msg["tool_call_id"] = tool_call_id
ollama_messages.append(msg)
msg_["tool_call_id"] = tool_call_id
ollama_messages.append(msg_)
return ollama_messages
@ -677,7 +687,7 @@ class ChatOllama(BaseChatModel):
messages: list[BaseMessage],
stop: Optional[list[str]] = None,
run_manager: Optional[CallbackManagerForLLMRun] = None,
verbose: bool = False,
verbose: bool = False, # noqa: FBT001, FBT002
**kwargs: Any,
) -> ChatGenerationChunk:
final_chunk = None
@ -693,7 +703,8 @@ class ChatOllama(BaseChatModel):
verbose=verbose,
)
if final_chunk is None:
raise ValueError("No data received from Ollama stream.")
msg = "No data received from Ollama stream."
raise ValueError(msg)
return final_chunk
@ -702,7 +713,7 @@ class ChatOllama(BaseChatModel):
messages: list[BaseMessage],
stop: Optional[list[str]] = None,
run_manager: Optional[AsyncCallbackManagerForLLMRun] = None,
verbose: bool = False,
verbose: bool = False, # noqa: FBT001, FBT002
**kwargs: Any,
) -> ChatGenerationChunk:
final_chunk = None
@ -718,7 +729,8 @@ class ChatOllama(BaseChatModel):
verbose=verbose,
)
if final_chunk is None:
raise ValueError("No data received from Ollama stream.")
msg = "No data received from Ollama stream."
raise ValueError(msg)
return final_chunk
@ -908,7 +920,7 @@ class ChatOllama(BaseChatModel):
self,
tools: Sequence[Union[dict[str, Any], type, Callable, BaseTool]],
*,
tool_choice: Optional[Union[dict, str, Literal["auto", "any"], bool]] = None,
tool_choice: Optional[Union[dict, str, Literal["auto", "any"], bool]] = None, # noqa: PYI051
**kwargs: Any,
) -> Runnable[LanguageModelInput, BaseMessage]:
"""Bind tool-like objects to this chat model.
@ -923,7 +935,7 @@ class ChatOllama(BaseChatModel):
is currently ignored as it is not supported by Ollama.**
kwargs: Any additional parameters are passed directly to
``self.bind(**kwargs)``.
""" # noqa: E501
"""
formatted_tools = [convert_to_openai_tool(tool) for tool in tools]
return super().bind(tools=formatted_tools, **kwargs)
@ -1180,14 +1192,16 @@ class ChatOllama(BaseChatModel):
""" # noqa: E501, D301
_ = kwargs.pop("strict", None)
if kwargs:
raise ValueError(f"Received unsupported arguments {kwargs}")
msg = f"Received unsupported arguments {kwargs}"
raise ValueError(msg)
is_pydantic_schema = _is_pydantic_class(schema)
if method == "function_calling":
if schema is None:
raise ValueError(
msg = (
"schema must be specified when method is not 'json_mode'. "
"Received None."
)
raise ValueError(msg)
formatted_tool = convert_to_openai_tool(schema)
tool_name = formatted_tool["function"]["name"]
llm = self.bind_tools(
@ -1222,10 +1236,11 @@ class ChatOllama(BaseChatModel):
)
elif method == "json_schema":
if schema is None:
raise ValueError(
msg = (
"schema must be specified when method is not 'json_mode'. "
"Received None."
)
raise ValueError(msg)
if is_pydantic_schema:
schema = cast(TypeBaseModel, schema)
if issubclass(schema, BaseModelV1):
@ -1259,10 +1274,11 @@ class ChatOllama(BaseChatModel):
)
output_parser = JsonOutputParser()
else:
raise ValueError(
msg = (
f"Unrecognized method argument. Expected one of 'function_calling', "
f"'json_schema', or 'json_mode'. Received: '{method}'"
)
raise ValueError(msg)
if include_raw:
parser_assign = RunnablePassthrough.assign(

16
libs/partners/ollama/langchain_ollama/embeddings.py
View File

@ -1,5 +1,7 @@
"""Ollama embeddings models."""
from __future__ import annotations
from typing import Any, Optional
from langchain_core.embeddings import Embeddings
@ -132,7 +134,7 @@ class OllamaEmbeddings(BaseModel, Embeddings):
"""Base url the model is hosted under."""
client_kwargs: Optional[dict] = {}
"""Additional kwargs to pass to the httpx clients.
"""Additional kwargs to pass to the httpx clients.
These arguments are passed to both synchronous and async clients.
Use sync_client_kwargs and async_client_kwargs to pass different arguments
to synchronous and asynchronous clients.
@ -271,14 +273,14 @@ class OllamaEmbeddings(BaseModel, Embeddings):
def embed_documents(self, texts: list[str]) -> list[list[float]]:
"""Embed search docs."""
if not self._client:
raise ValueError(
msg = (
"Ollama client is not initialized. "
"Please ensure Ollama is running and the model is loaded."
)
embedded_docs = self._client.embed(
raise ValueError(msg)
return self._client.embed(
self.model, texts, options=self._default_params, keep_alive=self.keep_alive
)["embeddings"]
return embedded_docs
def embed_query(self, text: str) -> list[float]:
"""Embed query text."""
@ -287,16 +289,16 @@ class OllamaEmbeddings(BaseModel, Embeddings):
async def aembed_documents(self, texts: list[str]) -> list[list[float]]:
"""Embed search docs."""
if not self._async_client:
raise ValueError(
msg = (
"Ollama client is not initialized. "
"Please ensure Ollama is running and the model is loaded."
)
embedded_docs = (
raise ValueError(msg)
return (
await self._async_client.embed(
self.model, texts, keep_alive=self.keep_alive
)
)["embeddings"]
return embedded_docs
async def aembed_query(self, text: str) -> list[float]:
"""Embed query text."""

31
libs/partners/ollama/langchain_ollama/llms.py
View File

@ -1,5 +1,7 @@
"""Ollama large language models."""
from __future__ import annotations
from collections.abc import AsyncIterator, Iterator, Mapping
from typing import (
Any,
@ -132,22 +134,22 @@ class OllamaLLM(BaseLLM):
"""Base url the model is hosted under."""
client_kwargs: Optional[dict] = {}
"""Additional kwargs to pass to the httpx clients.
"""Additional kwargs to pass to the httpx clients.
These arguments are passed to both synchronous and async clients.
Use sync_client_kwargs and async_client_kwargs to pass different arguments
to synchronous and asynchronous clients.
"""
async_client_kwargs: Optional[dict] = {}
"""Additional kwargs to merge with client_kwargs before passing to the HTTPX
"""Additional kwargs to merge with client_kwargs before passing to the HTTPX
AsyncClient.
For a full list of the params, see the `HTTPX documentation <https://www.python-httpx.org/api/#asyncclient>`__.
"""
sync_client_kwargs: Optional[dict] = {}
"""Additional kwargs to merge with client_kwargs before passing to the HTTPX Client.
For a full list of the params, see the `HTTPX documentation <https://www.python-httpx.org/api/#client>`__.
"""
@ -168,7 +170,8 @@ class OllamaLLM(BaseLLM):
**kwargs: Any,
) -> dict[str, Any]:
if self.stop is not None and stop is not None:
raise ValueError("`stop` found in both the input and default params.")
msg = "`stop` found in both the input and default params."
raise ValueError(msg)
if self.stop is not None:
stop = self.stop
@ -193,7 +196,7 @@ class OllamaLLM(BaseLLM):
},
)
params = {
return {
"prompt": prompt,
"stream": kwargs.pop("stream", True),
"model": kwargs.pop("model", self.model),
@ -204,8 +207,6 @@ class OllamaLLM(BaseLLM):
**kwargs,
}
return params
@property
def _llm_type(self) -> str:
"""Return type of LLM."""
@ -267,14 +268,14 @@ class OllamaLLM(BaseLLM):
prompt: str,
stop: Optional[list[str]] = None,
run_manager: Optional[AsyncCallbackManagerForLLMRun] = None,
verbose: bool = False,
verbose: bool = False, # noqa: FBT001, FBT002
**kwargs: Any,
) -> GenerationChunk:
final_chunk = None
async for stream_resp in self._acreate_generate_stream(prompt, stop, **kwargs):
if not isinstance(stream_resp, str):
chunk = GenerationChunk(
text=stream_resp["response"] if "response" in stream_resp else "",
text=stream_resp.get("response", ""),
generation_info=(
dict(stream_resp) if stream_resp.get("done") is True else None
),
@ -290,7 +291,8 @@ class OllamaLLM(BaseLLM):
verbose=verbose,
)
if final_chunk is None:
raise ValueError("No data received from Ollama stream.")
msg = "No data received from Ollama stream."
raise ValueError(msg)
return final_chunk
@ -299,14 +301,14 @@ class OllamaLLM(BaseLLM):
prompt: str,
stop: Optional[list[str]] = None,
run_manager: Optional[CallbackManagerForLLMRun] = None,
verbose: bool = False,
verbose: bool = False, # noqa: FBT001, FBT002
**kwargs: Any,
) -> GenerationChunk:
final_chunk = None
for stream_resp in self._create_generate_stream(prompt, stop, **kwargs):
if not isinstance(stream_resp, str):
chunk = GenerationChunk(
text=stream_resp["response"] if "response" in stream_resp else "",
text=stream_resp.get("response", ""),
generation_info=(
dict(stream_resp) if stream_resp.get("done") is True else None
),
@ -322,7 +324,8 @@ class OllamaLLM(BaseLLM):
verbose=verbose,
)
if final_chunk is None:
raise ValueError("No data received from Ollama stream.")
msg = "No data received from Ollama stream."
raise ValueError(msg)
return final_chunk

63
libs/partners/ollama/pyproject.toml
View File

@ -48,15 +48,62 @@ target-version = "py39"
[tool.ruff.lint]
select = [
"E", # pycodestyle
"F", # pyflakes
"I", # isort
"T201", # print
"D", # pydocstyle
"UP", # pyupgrade
"S", # flake8-bandit
"A", # flake8-builtins
"B", # flake8-bugbear
"ASYNC", # flake8-async
"C4", # flake8-comprehensions
"COM", # flake8-commas
"D", # pydocstyle
"DOC", # pydoclint
"E", # pycodestyle error
"EM", # flake8-errmsg
"F", # pyflakes
"FA", # flake8-future-annotations
"FBT", # flake8-boolean-trap
"FLY", # flake8-flynt
"I", # isort
"ICN", # flake8-import-conventions
"INT", # flake8-gettext
"ISC", # isort-comprehensions
"PGH", # pygrep-hooks
"PIE", # flake8-pie
"PERF", # flake8-perf
"PYI", # flake8-pyi
"Q", # flake8-quotes
"RET", # flake8-return
"RSE", # flake8-rst-docstrings
"RUF", # ruff
"S", # flake8-bandit
"SLF", # flake8-self
"SLOT", # flake8-slots
"SIM", # flake8-simplify
"T10", # flake8-debugger
"T20", # flake8-print
"TID", # flake8-tidy-imports
"UP", # pyupgrade
"W", # pycodestyle warning
"YTT", # flake8-2020
]
ignore = [ "UP007", ]
ignore = [
"D100", # pydocstyle: Missing docstring in public module
"D101", # pydocstyle: Missing docstring in public class
"D102", # pydocstyle: Missing docstring in public method
"D103", # pydocstyle: Missing docstring in public function
"D104", # pydocstyle: Missing docstring in public package
"D105", # pydocstyle: Missing docstring in magic method
"D107", # pydocstyle: Missing docstring in __init__
"D203", # Messes with the formatter
"D407", # pydocstyle: Missing-dashed-underline-after-section
"COM812", # Messes with the formatter
"ISC001", # Messes with the formatter
"PERF203", # Rarely useful
"S112", # Rarely useful
"RUF012", # Doesn't play well with Pydantic
"SLF001", # Private member access
"UP007", # pyupgrade: non-pep604-annotation-union
"UP045", # pyupgrade: non-pep604-annotation-optional
]
unfixable = ["B028"] # People should intentionally tune the stacklevel
[tool.ruff.lint.pydocstyle]
convention = "google"

2
libs/partners/ollama/tests/integration_tests/chat_models/test_chat_models.py
View File

@ -1,5 +1,7 @@
"""Ollama specific chat model integration tests"""
from __future__ import annotations
from typing import Annotated, Optional
import pytest

21
libs/partners/ollama/tests/integration_tests/chat_models/test_chat_models_standard.py
View File

@ -21,8 +21,7 @@ def get_current_weather(location: str) -> dict:
"""Gets the current weather in a given location."""
if "boston" in location.lower():
return {"temperature": "15°F", "conditions": "snow"}
else:
return {"temperature": "unknown", "conditions": "unknown"}
return {"temperature": "unknown", "conditions": "unknown"}
class TestChatOllama(ChatModelIntegrationTests):
@ -65,16 +64,15 @@ class TestChatOllama(ChatModelIntegrationTests):
if chunk.tool_call_chunks:
tool_chunk_found = True
for tc_chunk in chunk.tool_call_chunks:
collected_tool_chunks.append(tc_chunk)
collected_tool_chunks.extend(chunk.tool_call_chunks)
if chunk.tool_calls:
final_tool_calls.extend(chunk.tool_calls)
assert tool_chunk_found, "Tool streaming did not produce any tool_call_chunks."
assert (
len(final_tool_calls) == 1
), f"Expected 1 final tool call, but got {len(final_tool_calls)}"
assert len(final_tool_calls) == 1, (
f"Expected 1 final tool call, but got {len(final_tool_calls)}"
)
final_tool_call = final_tool_calls[0]
assert final_tool_call["name"] == "get_current_weather"
@ -110,16 +108,15 @@ class TestChatOllama(ChatModelIntegrationTests):
if chunk.tool_call_chunks:
tool_chunk_found = True
for tc_chunk in chunk.tool_call_chunks:
collected_tool_chunks.append(tc_chunk)
collected_tool_chunks.extend(chunk.tool_call_chunks)
if chunk.tool_calls:
final_tool_calls.extend(chunk.tool_calls)
assert tool_chunk_found, "Tool streaming did not produce any tool_call_chunks."
assert (
len(final_tool_calls) == 1
), f"Expected 1 final tool call, but got {len(final_tool_calls)}"
assert len(final_tool_calls) == 1, (
f"Expected 1 final tool call, but got {len(final_tool_calls)}"
)
final_tool_call = final_tool_calls[0]
assert final_tool_call["name"] == "get_current_weather"

1
libs/partners/ollama/tests/integration_tests/test_compile.py
View File

@ -4,4 +4,3 @@ import pytest
@pytest.mark.compile
def test_placeholder() -> None:
"""Used for compiling integration tests without running any real tests."""
pass

45
libs/partners/ollama/uv.lock
View File

@ -305,7 +305,7 @@ wheels = [
[[package]]
name = "langchain-core"
version = "0.3.66"
version = "0.3.68"
source = { editable = "../../core" }
dependencies = [
{ name = "jsonpatch" },
@ -334,7 +334,7 @@ dev = [
{ name = "jupyter", specifier = ">=1.0.0,<2.0.0" },
{ name = "setuptools", specifier = ">=67.6.1,<68.0.0" },
]
lint = [{ name = "ruff", specifier = ">=0.11.2,<0.12.0" }]
lint = [{ name = "ruff", specifier = ">=0.12.2,<0.13" }]
test = [
{ name = "blockbuster", specifier = "~=1.5.18" },
{ name = "freezegun", specifier = ">=1.2.2,<2.0.0" },
@ -403,7 +403,7 @@ requires-dist = [
[package.metadata.requires-dev]
codespell = [{ name = "codespell", specifier = ">=2.2.6,<3.0.0" }]
dev = [{ name = "langchain-core", editable = "../../core" }]
lint = [{ name = "ruff", specifier = ">=0.1.8,<1.0.0" }]
lint = [{ name = "ruff", specifier = ">=0.12.2,<0.13" }]
test = [
{ name = "langchain-core", editable = "../../core" },
{ name = "langchain-tests", editable = "../../standard-tests" },
@ -456,7 +456,7 @@ requires-dist = [
[package.metadata.requires-dev]
codespell = [{ name = "codespell", specifier = ">=2.2.0,<3.0.0" }]
lint = [{ name = "ruff", specifier = ">=0.9.2,<1.0.0" }]
lint = [{ name = "ruff", specifier = ">=0.12.2,<0.13" }]
test = [{ name = "langchain-core", editable = "../../core" }]
test-integration = []
typing = [
@ -1342,26 +1342,27 @@ wheels = [
[[package]]
name = "ruff"
version = "0.1.15"
version = "0.12.2"
source = { registry = "https://pypi.org/simple" }
sdist = { url = "https://files.pythonhosted.org/packages/42/33/7165f88a156be1c2fd13a18b3af6e75bbf82da5b6978cd2128d666accc18/ruff-0.1.15.tar.gz", hash = "sha256:f6dfa8c1b21c913c326919056c390966648b680966febcb796cc9d1aaab8564e", size = 1971643, upload-time = "2024-01-29T23:06:05.541Z" }
sdist = { url = "https://files.pythonhosted.org/packages/6c/3d/d9a195676f25d00dbfcf3cf95fdd4c685c497fcfa7e862a44ac5e4e96480/ruff-0.12.2.tar.gz", hash = "sha256:d7b4f55cd6f325cb7621244f19c873c565a08aff5a4ba9c69aa7355f3f7afd3e", size = 4432239, upload-time = "2025-07-03T16:40:19.566Z" }
wheels = [
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