community: callbacks guard_imports (#21173)

Issue: we have several helper functions to import third-party libraries
like import_uptrain in
[community.callbacks](https://api.python.langchain.com/en/latest/callbacks/langchain_community.callbacks.uptrain_callback.import_uptrain.html#langchain_community.callbacks.uptrain_callback.import_uptrain).
And we have core.utils.utils.guard_import that works exactly for this
purpose.
The import_<package> functions work inconsistently and rather be private
functions.
Change: replaced these functions with the guard_import function.

Related to #21133

libs/community/langchain_community/callbacks/aim_callback.py

@@ -4,19 +4,12 @@ from typing import Any, Dict, List, Optional
 from langchain_core.agents import AgentAction, AgentFinish
 from langchain_core.callbacks import BaseCallbackHandler
 from langchain_core.outputs import LLMResult
+from langchain_core.utils import guard_import
 
 
 def import_aim() -> Any:
     """Import the aim python package and raise an error if it is not installed."""
-    try:
+    return guard_import("aim")
-        import aim
-    except ImportError:
-        raise ImportError(
-            "To use the Aim callback manager you need to have the"
-            " `aim` python package installed."
-            "Please install it with `pip install aim`"
-        )
-    return aim
 
 
 class BaseMetadataCallbackHandler:

libs/community/langchain_community/callbacks/clearml_callback.py

@@ -8,6 +8,7 @@ from typing import TYPE_CHECKING, Any, Dict, List, Mapping, Optional, Sequence
 from langchain_core.agents import AgentAction, AgentFinish
 from langchain_core.callbacks import BaseCallbackHandler
 from langchain_core.outputs import LLMResult
+from langchain_core.utils import guard_import
 
 from langchain_community.callbacks.utils import (
     BaseMetadataCallbackHandler,
@@ -25,14 +26,7 @@ if TYPE_CHECKING:
 
 def import_clearml() -> Any:
     """Import the clearml python package and raise an error if it is not installed."""
-    try:
+    return guard_import("clearml")
-        import clearml
-    except ImportError:
-        raise ImportError(
-            "To use the clearml callback manager you need to have the `clearml` python "
-            "package installed. Please install it with `pip install clearml`"
-        )
-    return clearml
 
 
 class ClearMLCallbackHandler(BaseMetadataCallbackHandler, BaseCallbackHandler):

libs/community/langchain_community/callbacks/comet_ml_callback.py

@@ -6,6 +6,7 @@ from typing import Any, Callable, Dict, List, Optional, Sequence
 from langchain_core.agents import AgentAction, AgentFinish
 from langchain_core.callbacks import BaseCallbackHandler
 from langchain_core.outputs import Generation, LLMResult
+from langchain_core.utils import guard_import
 
 import langchain_community
 from langchain_community.callbacks.utils import (
@@ -21,15 +22,7 @@ LANGCHAIN_MODEL_NAME = "langchain-model"
 
 def import_comet_ml() -> Any:
     """Import comet_ml and raise an error if it is not installed."""
-    try:
+    return guard_import("comet_ml")
-        import comet_ml
-    except ImportError:
-        raise ImportError(
-            "To use the comet_ml callback manager you need to have the "
-            "`comet_ml` python package installed. Please install it with"
-            " `pip install comet_ml`"
-        )
-    return comet_ml
 
 
 def _get_experiment(

libs/community/langchain_community/callbacks/context_callback.py

@@ -1,4 +1,5 @@
 """Callback handler for Context AI"""
+
 import os
 from typing import Any, Dict, List
 from uuid import UUID
@@ -6,26 +7,23 @@ from uuid import UUID
 from langchain_core.callbacks import BaseCallbackHandler
 from langchain_core.messages import BaseMessage
 from langchain_core.outputs import LLMResult
+from langchain_core.utils import guard_import
 
 
 def import_context() -> Any:
     """Import the `getcontext` package."""
-    try:
+    return (
-        import getcontext
+        guard_import("getcontext", pip_name="python-context"),
-        from getcontext.generated.models import (
+        guard_import("getcontext.token", pip_name="python-context").Credential,
-            Conversation,
+        guard_import(
-            Message,
+            "getcontext.generated.models", pip_name="python-context"
-            MessageRole,
+        ).Conversation,
-            Rating,
+        guard_import("getcontext.generated.models", pip_name="python-context").Message,
-        )
+        guard_import(
-        from getcontext.token import Credential
+            "getcontext.generated.models", pip_name="python-context"
-    except ImportError:
+        ).MessageRole,
-        raise ImportError(
+        guard_import("getcontext.generated.models", pip_name="python-context").Rating,
-            "To use the context callback manager you need to have the "
+    )
-            "`getcontext` python package installed (version >=0.3.0). "
-            "Please install it with `pip install --upgrade python-context`"
-        )
-    return getcontext, Credential, Conversation, Message, MessageRole, Rating
 
 
 class ContextCallbackHandler(BaseCallbackHandler):

libs/community/langchain_community/callbacks/fiddler_callback.py

@@ -4,6 +4,7 @@ from uuid import UUID
 
 from langchain_core.callbacks import BaseCallbackHandler
 from langchain_core.outputs import LLMResult
+from langchain_core.utils import guard_import
 
 from langchain_community.callbacks.utils import import_pandas
 
@@ -54,14 +55,7 @@ _dataset_dict = {
 
 def import_fiddler() -> Any:
     """Import the fiddler python package and raise an error if it is not installed."""
-    try:
+    return guard_import("fiddler", pip_name="fiddler-client")
-        import fiddler
-    except ImportError:
-        raise ImportError(
-            "To use fiddler callback handler you need to have `fiddler-client`"
-            "package installed. Please install it with `pip install fiddler-client`"
-        )
-    return fiddler
 
 
 # First, define custom callback handler implementations

libs/community/langchain_community/callbacks/flyte_callback.py

@@ -1,4 +1,5 @@
 """FlyteKit callback handler."""
+
 from __future__ import annotations
 
 import logging
@@ -8,6 +9,7 @@ from typing import TYPE_CHECKING, Any, Dict, List, Tuple
 from langchain_core.agents import AgentAction, AgentFinish
 from langchain_core.callbacks import BaseCallbackHandler
 from langchain_core.outputs import LLMResult
+from langchain_core.utils import guard_import
 
 from langchain_community.callbacks.utils import (
     BaseMetadataCallbackHandler,
@@ -26,17 +28,12 @@ logger = logging.getLogger(__name__)
 
 def import_flytekit() -> Tuple[flytekit, renderer]:
     """Import flytekit and flytekitplugins-deck-standard."""
-    try:
+    return (
-        import flytekit
+        guard_import("flytekit"),
-        from flytekitplugins.deck import renderer
+        guard_import(
-    except ImportError:
+            "flytekitplugins.deck", pip_name="flytekitplugins-deck-standard"
-        raise ImportError(
+        ).renderer,
-            "To use the flyte callback manager you need"
+    )
-            "to have the `flytekit` and `flytekitplugins-deck-standard`"
-            "packages installed. Please install them with `pip install flytekit`"
-            "and `pip install flytekitplugins-deck-standard`."
-        )
-    return flytekit, renderer
 
 
 def analyze_text(

libs/community/langchain_community/callbacks/infino_callback.py

@@ -5,32 +5,17 @@ from langchain_core.agents import AgentAction, AgentFinish
 from langchain_core.callbacks import BaseCallbackHandler
 from langchain_core.messages import BaseMessage
 from langchain_core.outputs import ChatGeneration, LLMResult
+from langchain_core.utils import guard_import
 
 
 def import_infino() -> Any:
     """Import the infino client."""
-    try:
+    return guard_import("infinopy").InfinoClient()
-        from infinopy import InfinoClient
-    except ImportError:
-        raise ImportError(
-            "To use the Infino callbacks manager you need to have the"
-            " `infinopy` python package installed."
-            "Please install it with `pip install infinopy`"
-        )
-    return InfinoClient()
 
 
 def import_tiktoken() -> Any:
     """Import tiktoken for counting tokens for OpenAI models."""
-    try:
+    return guard_import("tiktoken")
-        import tiktoken
-    except ImportError:
-        raise ImportError(
-            "To use the ChatOpenAI model with Infino callback manager, you need to "
-            "have the `tiktoken` python package installed."
-            "Please install it with `pip install tiktoken`"
-        )
-    return tiktoken
 
 
 def get_num_tokens(string: str, openai_model_name: str) -> int:

libs/community/langchain_community/callbacks/mlflow_callback.py

@@ -12,7 +12,7 @@ from langchain_core.agents import AgentAction, AgentFinish
 from langchain_core.callbacks import BaseCallbackHandler
 from langchain_core.documents import Document
 from langchain_core.outputs import LLMResult
-from langchain_core.utils import get_from_dict_or_env
+from langchain_core.utils import get_from_dict_or_env, guard_import
 
 from langchain_community.callbacks.utils import (
     BaseMetadataCallbackHandler,
@@ -28,14 +28,7 @@ logger = logging.getLogger(__name__)
 
 def import_mlflow() -> Any:
     """Import the mlflow python package and raise an error if it is not installed."""
-    try:
+    return guard_import("mlflow")
-        import mlflow
-    except ImportError:
-        raise ImportError(
-            "To use the mlflow callback manager you need to have the `mlflow` python "
-            "package installed. Please install it with `pip install mlflow>=2.3.0`"
-        )
-    return mlflow
 
 
 def mlflow_callback_metrics() -> List[str]:

libs/community/langchain_community/callbacks/tracers/comet.py

@@ -2,6 +2,7 @@ from types import ModuleType, SimpleNamespace
 from typing import TYPE_CHECKING, Any, Callable, Dict
 
 from langchain_core.tracers import BaseTracer
+from langchain_core.utils import guard_import
 
 if TYPE_CHECKING:
     from uuid import UUID
@@ -23,29 +24,15 @@ def _get_run_type(run: "Run") -> str:
 
 def import_comet_llm_api() -> SimpleNamespace:
     """Import comet_llm api and raise an error if it is not installed."""
-    try:
+    comet_llm = guard_import("comet_llm")
-        from comet_llm import (
+    comet_llm_chains = guard_import("comet_llm.chains")
-            experiment_info,
-            flush,
-        )
-        from comet_llm.chains import api as chain_api
-        from comet_llm.chains import (
-            chain,
-            span,
-        )
 
-    except ImportError:
-        raise ImportError(
-            "To use the CometTracer you need to have the "
-            "`comet_llm>=2.0.0` python package installed. Please install it with"
-            " `pip install -U comet_llm`"
-        )
     return SimpleNamespace(
-        chain=chain,
+        chain=comet_llm_chains.chain,
-        span=span,
+        span=comet_llm_chains.span,
-        chain_api=chain_api,
+        chain_api=comet_llm_chains.api,
-        experiment_info=experiment_info,
+        experiment_info=comet_llm.experiment_info,
-        flush=flush,
+        flush=comet_llm.flush,
     )
 
 

libs/community/langchain_community/callbacks/uptrain_callback.py

@@ -2,12 +2,12 @@
 UpTrain Callback Handler
 
 UpTrain is an open-source platform to evaluate and improve LLM applications. It provides
-grades for 20+ preconfigured checks (covering language, code, embedding use cases), 
+grades for 20+ preconfigured checks (covering language, code, embedding use cases),
-performs root cause analyses on instances of failure cases and provides guidance for 
+performs root cause analyses on instances of failure cases and provides guidance for
 resolving them.
 
-This module contains a callback handler for integrating UpTrain seamlessly into your 
+This module contains a callback handler for integrating UpTrain seamlessly into your
-pipeline and facilitating diverse evaluations. The callback handler automates various 
+pipeline and facilitating diverse evaluations. The callback handler automates various
 evaluations to assess the performance and effectiveness of the components within the
 pipeline.
 
@@ -29,7 +29,7 @@ The evaluations conducted include:
 
 3. Context Compression and Reranking:
    Re-ranking involves reordering nodes based on relevance to the query and selecting
-   top n nodes. 
+   top n nodes.
    Due to the potential reduction in the number of nodes after re-ranking, the following
    evaluations
    are performed in addition to the RAG evaluations:
@@ -65,6 +65,7 @@ from uuid import UUID
 from langchain_core.callbacks.base import BaseCallbackHandler
 from langchain_core.documents import Document
 from langchain_core.outputs import LLMResult
+from langchain_core.utils import guard_import
 
 logger = logging.getLogger(__name__)
 handler = logging.StreamHandler(sys.stdout)
@@ -75,17 +76,7 @@ logger.addHandler(handler)
 
 def import_uptrain() -> Any:
     """Import the `uptrain` package."""
-    try:
+    return guard_import("uptrain")
-        import uptrain
-    except ImportError as e:
-        raise ImportError(
-            "To use the UpTrainCallbackHandler, you need the"
-            "`uptrain` package. Please install it with"
-            "`pip install uptrain`.",
-            e,
-        )
-
-    return uptrain
 
 
 class UpTrainDataSchema:

libs/community/langchain_community/callbacks/utils.py

@@ -2,41 +2,22 @@ import hashlib
 from pathlib import Path
 from typing import Any, Dict, Iterable, Tuple, Union
 
+from langchain_core.utils import guard_import
+
 
 def import_spacy() -> Any:
     """Import the spacy python package and raise an error if it is not installed."""
-    try:
+    return guard_import("spacy")
-        import spacy
-    except ImportError:
-        raise ImportError(
-            "This callback manager requires the `spacy` python "
-            "package installed. Please install it with `pip install spacy`"
-        )
-    return spacy
 
 
 def import_pandas() -> Any:
     """Import the pandas python package and raise an error if it is not installed."""
-    try:
+    return guard_import("pandas")
-        import pandas
-    except ImportError:
-        raise ImportError(
-            "This callback manager requires the `pandas` python "
-            "package installed. Please install it with `pip install pandas`"
-        )
-    return pandas
 
 
 def import_textstat() -> Any:
     """Import the textstat python package and raise an error if it is not installed."""
-    try:
+    return guard_import("textstat")
-        import textstat
-    except ImportError:
-        raise ImportError(
-            "This callback manager requires the `textstat` python "
-            "package installed. Please install it with `pip install textstat`"
-        )
-    return textstat
 
 
 def _flatten_dict(

libs/community/langchain_community/callbacks/wandb_callback.py

@@ -7,6 +7,7 @@ from typing import Any, Dict, List, Optional, Sequence, Union
 from langchain_core.agents import AgentAction, AgentFinish
 from langchain_core.callbacks import BaseCallbackHandler
 from langchain_core.outputs import LLMResult
+from langchain_core.utils import guard_import
 
 from langchain_community.callbacks.utils import (
     BaseMetadataCallbackHandler,
@@ -20,14 +21,7 @@ from langchain_community.callbacks.utils import (
 
 def import_wandb() -> Any:
     """Import the wandb python package and raise an error if it is not installed."""
-    try:
+    return guard_import("wandb")
-        import wandb
-    except ImportError:
-        raise ImportError(
-            "To use the wandb callback manager you need to have the `wandb` python "
-            "package installed. Please install it with `pip install wandb`"
-        )
-    return wandb
 
 
 def load_json_to_dict(json_path: Union[str, Path]) -> dict:

libs/community/langchain_community/callbacks/whylabs_callback.py

@@ -4,7 +4,7 @@ import logging
 from typing import TYPE_CHECKING, Any, Optional
 
 from langchain_core.callbacks import BaseCallbackHandler
-from langchain_core.utils import get_from_env
+from langchain_core.utils import get_from_env, guard_import
 
 if TYPE_CHECKING:
     from whylogs.api.logger.logger import Logger
@@ -27,22 +27,15 @@ def import_langkit(
     Returns:
         The imported langkit module.
     """
-    try:
+    langkit = guard_import("langkit")
-        import langkit
+    guard_import("langkit.regexes")
-        import langkit.regexes
+    guard_import("langkit.textstat")
-        import langkit.textstat
+    if sentiment:
-
+        guard_import("langkit.sentiment")
-        if sentiment:
+    if toxicity:
-            import langkit.sentiment
+        guard_import("langkit.toxicity")
-        if toxicity:
+    if themes:
-            import langkit.toxicity
+        guard_import("langkit.themes")
-        if themes:
-            import langkit.themes
-    except ImportError:
-        raise ImportError(
-            "To use the whylabs callback manager you need to have the `langkit` python "
-            "package installed. Please install it with `pip install langkit`."
-        )
     return langkit
 
 
@@ -161,10 +154,12 @@ class WhyLabsCallbackHandler(BaseCallbackHandler):
         # langkit library will import necessary whylogs libraries
         import_langkit(sentiment=sentiment, toxicity=toxicity, themes=themes)
 
-        import whylogs as why
+        why = guard_import("whylogs")
-        from langkit.callback_handler import get_callback_instance
+        get_callback_instance = guard_import(
-        from whylogs.api.writer.whylabs import WhyLabsWriter
+            "langkit.callback_handler"
-        from whylogs.experimental.core.udf_schema import udf_schema
+        ).get_callback_instance
+        WhyLabsWriter = guard_import("whylogs.api.writer.whylabs").WhyLabsWriter
+        udf_schema = guard_import("whylogs.experimental.core.udf_schema").udf_schema
 
         if logger is None:
             api_key = api_key or get_from_env("api_key", "WHYLABS_API_KEY")