ruff: restore stacklevels, disable autofixing (#31919)

libs/core/pyproject.toml

@@ -101,6 +101,8 @@ ignore = [
     "PLC0415",
     "PLR2004",
 ]
+unfixable = ["PLW1510",]
+
 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"]

libs/langchain/langchain/__init__.py

@@ -29,12 +29,12 @@ def _warn_on_import(name: str, replacement: Optional[str] = None) -> None:
         warnings.warn(
             f"Importing {name} from langchain root module is no longer supported. "
             f"Please use {replacement} instead.",
-            stacklevel=2,
+            stacklevel=3,
         )
     else:
         warnings.warn(
             f"Importing {name} from langchain root module is no longer supported.",
-            stacklevel=2,
+            stacklevel=3,
         )
 
 

libs/langchain/langchain/chains/base.py

@@ -255,7 +255,7 @@ class Chain(RunnableSerializable[dict[str, Any], dict[str, Any]], ABC):
             warnings.warn(
                 "callback_manager is deprecated. Please use callbacks instead.",
                 DeprecationWarning,
-                stacklevel=2,
+                stacklevel=4,
             )
             values["callbacks"] = values.pop("callback_manager", None)
         return values

libs/langchain/langchain/chains/conversational_retrieval/base.py

@@ -504,7 +504,7 @@ class ChatVectorDBChain(BaseConversationalRetrievalChain):
         warnings.warn(
             "`ChatVectorDBChain` is deprecated - "
             "please use `from langchain.chains import ConversationalRetrievalChain`",
-            stacklevel=2,
+            stacklevel=4,
         )
         return values
 

libs/langchain/langchain/chains/llm_checker/base.py

@@ -112,7 +112,7 @@ class LLMCheckerChain(Chain):
                 "Directly instantiating an LLMCheckerChain with an llm is deprecated. "
                 "Please instantiate with question_to_checked_assertions_chain "
                 "or using the from_llm class method.",
-                stacklevel=2,
+                stacklevel=5,
             )
             if (
                 "question_to_checked_assertions_chain" not in values

libs/langchain/langchain/chains/llm_math/base.py

@@ -177,7 +177,7 @@ class LLMMathChain(Chain):
                 "Directly instantiating an LLMMathChain with an llm is deprecated. "
                 "Please instantiate with llm_chain argument or using the from_llm "
                 "class method.",
-                stacklevel=2,
+                stacklevel=5,
             )
             if "llm_chain" not in values and values["llm"] is not None:
                 prompt = values.get("prompt", PROMPT)

libs/langchain/langchain/chains/llm_summarization_checker/base.py

@@ -118,7 +118,7 @@ class LLMSummarizationCheckerChain(Chain):
                 "Directly instantiating an LLMSummarizationCheckerChain with an llm is "
                 "deprecated. Please instantiate with"
                 " sequential_chain argument or using the from_llm class method.",
-                stacklevel=2,
+                stacklevel=5,
             )
             if "sequential_chain" not in values and values["llm"] is not None:
                 values["sequential_chain"] = _load_sequential_chain(

libs/langchain/langchain/chains/natbot/base.py

@@ -74,7 +74,7 @@ class NatBotChain(Chain):
                 "Directly instantiating an NatBotChain with an llm is deprecated. "
                 "Please instantiate with llm_chain argument or using the from_llm "
                 "class method.",
-                stacklevel=2,
+                stacklevel=5,
             )
             if "llm_chain" not in values and values["llm"] is not None:
                 values["llm_chain"] = PROMPT | values["llm"] | StrOutputParser()

libs/langchain/langchain/chains/qa_with_sources/vector_db.py

@@ -77,7 +77,7 @@ class VectorDBQAWithSourcesChain(BaseQAWithSourcesChain):
         warnings.warn(
             "`VectorDBQAWithSourcesChain` is deprecated - "
             "please use `from langchain.chains import RetrievalQAWithSourcesChain`",
-            stacklevel=2,
+            stacklevel=5,
         )
         return values
 

libs/langchain/langchain/chains/query_constructor/parser.py

@@ -162,7 +162,7 @@ class QueryTransformer(Transformer):
             warnings.warn(
                 "Dates are expected to be provided in ISO 8601 date format "
                 "(YYYY-MM-DD).",
-                stacklevel=2,
+                stacklevel=3,
             )
         return {"date": item, "type": "date"}
 

libs/langchain/langchain/evaluation/schema.py

@@ -124,12 +124,12 @@ class _EvalArgsMixin:
             msg = f"{self.__class__.__name__} requires an input string."
             raise ValueError(msg)
         if input_ is not None and not self.requires_input:
-            warn(self._skip_input_warning, stacklevel=2)
+            warn(self._skip_input_warning, stacklevel=3)
         if self.requires_reference and reference is None:
             msg = f"{self.__class__.__name__} requires a reference string."
             raise ValueError(msg)
         if reference is not None and not self.requires_reference:
-            warn(self._skip_reference_warning, stacklevel=2)
+            warn(self._skip_reference_warning, stacklevel=3)
 
 
 class StringEvaluator(_EvalArgsMixin, ABC):

libs/langchain/langchain/indexes/vectorstore.py

@@ -183,7 +183,7 @@ def _get_in_memory_vectorstore() -> type[VectorStore]:
         "Using InMemoryVectorStore as the default vectorstore."
         "This memory store won't persist data. You should explicitly"
         "specify a vectorstore when using VectorstoreIndexCreator",
-        stacklevel=2,
+        stacklevel=3,
     )
     return InMemoryVectorStore
 

libs/langchain/langchain/memory/chat_memory.py

@@ -58,7 +58,7 @@ class BaseChatMemory(BaseMemory, ABC):
                     f"'{self.__class__.__name__}' got multiple output keys:"
                     f" {outputs.keys()}. The default 'output' key is being used."
                     f" If this is not desired, please manually set 'output_key'.",
-                    stacklevel=2,
+                    stacklevel=3,
                 )
             else:
                 msg = (

libs/langchain/langchain/memory/combined.py

@@ -42,7 +42,7 @@ class CombinedMemory(BaseMemory):
                     "When using CombinedMemory, "
                     "input keys should be so the input is known. "
                     f" Was not set on {val}",
-                    stacklevel=2,
+                    stacklevel=5,
                 )
         return value
 

libs/langchain/pyproject.toml

@@ -198,6 +198,7 @@ ignore = [
     "SLF001",  # Private member access
     "UP007",   # pyupgrade: non-pep604-annotation-union
 ]
+unfixable = ["B028"] # People should intentionally tune the stacklevel
 
 pydocstyle.convention = "google"
 pyupgrade.keep-runtime-typing = true

libs/partners/anthropic/pyproject.toml

@@ -114,6 +114,7 @@ ignore = [
     "UP045",   # non-pep604-annotation-optional
     "SIM105",  # Rarely useful
 ]
+unfixable = ["B028"] # People should intentionally tune the stacklevel
 
 [tool.coverage.run]
 omit = ["tests/*"]

libs/partners/chroma/pyproject.toml

@@ -109,6 +109,7 @@ ignore = [
     "D107",    # Missing docstring in __init__
     "UP007",   # pyupgrade: non-pep604-annotation-union
 ]
+unfixable = ["B028"] # People should intentionally tune the stacklevel
 
 [tool.coverage.run]
 omit = ["tests/*"]

libs/partners/deepseek/pyproject.toml

@@ -95,6 +95,7 @@ ignore = [
     "D107",    # Missing docstring in __init__
     "UP007",   # pyupgrade: non-pep604-annotation-union
 ]
+unfixable = ["B028"] # People should intentionally tune the stacklevel
 
 [tool.coverage.run]
 omit = ["tests/*"]

libs/partners/exa/pyproject.toml

@@ -100,6 +100,7 @@ ignore = [
     "SLF001",  # Private member access
     "UP007",   # pyupgrade: non-pep604-annotation-union
 ]
+unfixable = ["B028"] # People should intentionally tune the stacklevel
 
 [tool.coverage.run]
 omit = ["tests/*"]

libs/partners/fireworks/pyproject.toml

@@ -104,6 +104,7 @@ ignore = [
     "SLF001",  # Private member access
     "UP007",   # pyupgrade: non-pep604-annotation-union
 ]
+unfixable = ["B028"] # People should intentionally tune the stacklevel
 
 [tool.coverage.run]
 omit = ["tests/*"]

libs/partners/groq/pyproject.toml

@@ -97,6 +97,7 @@ ignore = [
     "SLF001",  # Private member access
     "UP007",   # pyupgrade: non-pep604-annotation-union
 ]
+unfixable = ["B028"] # People should intentionally tune the stacklevel
 
 [tool.coverage.run]
 omit = ["tests/*"]

libs/partners/huggingface/pyproject.toml

@@ -112,6 +112,7 @@ ignore = [
     "SLF001",  # Private member access
     "UP007",   # pyupgrade: non-pep604-annotation-union
 ]
+unfixable = ["B028"] # People should intentionally tune the stacklevel
 
 [tool.coverage.run]
 omit = ["tests/*"]

libs/partners/mistralai/pyproject.toml

@@ -104,6 +104,7 @@ ignore = [
     "UP007",   # pyupgrade: non-pep604-annotation-union
     "UP045",   # pyupgrade: non-pep604-annotation-optional
 ]
+unfixable = ["B028"] # People should intentionally tune the stacklevel
 
 [tool.coverage.run]
 omit = ["tests/*"]