mirror of
https://github.com/hwchase17/langchain
synced 2024-11-10 01:10:59 +00:00
a0c2281540
```python
"""python scripts/update_mypy_ruff.py"""
import glob
import tomllib
from pathlib import Path
import toml
import subprocess
import re
ROOT_DIR = Path(__file__).parents[1]
def main():
for path in glob.glob(str(ROOT_DIR / "libs/**/pyproject.toml"), recursive=True):
print(path)
with open(path, "rb") as f:
pyproject = tomllib.load(f)
try:
pyproject["tool"]["poetry"]["group"]["typing"]["dependencies"]["mypy"] = (
"^1.10"
)
pyproject["tool"]["poetry"]["group"]["lint"]["dependencies"]["ruff"] = (
"^0.5"
)
except KeyError:
continue
with open(path, "w") as f:
toml.dump(pyproject, f)
cwd = "/".join(path.split("/")[:-1])
completed = subprocess.run(
"poetry lock --no-update; poetry install --with typing; poetry run mypy . --no-color",
cwd=cwd,
shell=True,
capture_output=True,
text=True,
)
logs = completed.stdout.split("\n")
to_ignore = {}
for l in logs:
if re.match("^(.*)\:(\d+)\: error:.*\[(.*)\]", l):
path, line_no, error_type = re.match(
"^(.*)\:(\d+)\: error:.*\[(.*)\]", l
).groups()
if (path, line_no) in to_ignore:
to_ignore[(path, line_no)].append(error_type)
else:
to_ignore[(path, line_no)] = [error_type]
print(len(to_ignore))
for (error_path, line_no), error_types in to_ignore.items():
all_errors = ", ".join(error_types)
full_path = f"{cwd}/{error_path}"
try:
with open(full_path, "r") as f:
file_lines = f.readlines()
except FileNotFoundError:
continue
file_lines[int(line_no) - 1] = (
file_lines[int(line_no) - 1][:-1] + f" # type: ignore[{all_errors}]\n"
)
with open(full_path, "w") as f:
f.write("".join(file_lines))
subprocess.run(
"poetry run ruff format .; poetry run ruff --select I --fix .",
cwd=cwd,
shell=True,
capture_output=True,
text=True,
)
if __name__ == "__main__":
main()
```
158 lines
5.9 KiB
Python
158 lines
5.9 KiB
Python
"""**Callback handlers** allow listening to events in LangChain.
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**Class hierarchy:**
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.. code-block::
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BaseCallbackHandler --> <name>CallbackHandler # Example: AimCallbackHandler
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"""
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import importlib
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from typing import TYPE_CHECKING, Any
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if TYPE_CHECKING:
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from langchain_community.callbacks.aim_callback import (
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AimCallbackHandler,
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)
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from langchain_community.callbacks.argilla_callback import (
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ArgillaCallbackHandler,
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)
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from langchain_community.callbacks.arize_callback import (
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ArizeCallbackHandler,
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)
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from langchain_community.callbacks.arthur_callback import (
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ArthurCallbackHandler,
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)
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from langchain_community.callbacks.clearml_callback import (
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ClearMLCallbackHandler,
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)
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from langchain_community.callbacks.comet_ml_callback import (
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CometCallbackHandler,
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)
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from langchain_community.callbacks.context_callback import (
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ContextCallbackHandler,
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)
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from langchain_community.callbacks.fiddler_callback import (
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FiddlerCallbackHandler,
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)
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from langchain_community.callbacks.flyte_callback import (
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FlyteCallbackHandler,
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)
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from langchain_community.callbacks.human import (
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HumanApprovalCallbackHandler,
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)
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from langchain_community.callbacks.infino_callback import (
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InfinoCallbackHandler,
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)
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from langchain_community.callbacks.labelstudio_callback import (
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LabelStudioCallbackHandler,
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)
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from langchain_community.callbacks.llmonitor_callback import (
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LLMonitorCallbackHandler,
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)
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from langchain_community.callbacks.manager import (
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get_openai_callback,
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wandb_tracing_enabled,
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)
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from langchain_community.callbacks.mlflow_callback import (
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MlflowCallbackHandler,
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)
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from langchain_community.callbacks.openai_info import (
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OpenAICallbackHandler,
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)
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from langchain_community.callbacks.promptlayer_callback import (
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PromptLayerCallbackHandler,
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)
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from langchain_community.callbacks.sagemaker_callback import (
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SageMakerCallbackHandler,
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)
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from langchain_community.callbacks.streamlit import (
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LLMThoughtLabeler,
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StreamlitCallbackHandler,
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)
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from langchain_community.callbacks.trubrics_callback import (
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TrubricsCallbackHandler,
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)
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from langchain_community.callbacks.upstash_ratelimit_callback import (
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UpstashRatelimitError,
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UpstashRatelimitHandler, # noqa: F401
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)
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from langchain_community.callbacks.uptrain_callback import (
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UpTrainCallbackHandler,
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)
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from langchain_community.callbacks.wandb_callback import (
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WandbCallbackHandler,
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)
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from langchain_community.callbacks.whylabs_callback import (
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WhyLabsCallbackHandler,
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)
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_module_lookup = {
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"AimCallbackHandler": "langchain_community.callbacks.aim_callback",
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"ArgillaCallbackHandler": "langchain_community.callbacks.argilla_callback",
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"ArizeCallbackHandler": "langchain_community.callbacks.arize_callback",
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"ArthurCallbackHandler": "langchain_community.callbacks.arthur_callback",
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"ClearMLCallbackHandler": "langchain_community.callbacks.clearml_callback",
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"CometCallbackHandler": "langchain_community.callbacks.comet_ml_callback",
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"ContextCallbackHandler": "langchain_community.callbacks.context_callback",
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"FiddlerCallbackHandler": "langchain_community.callbacks.fiddler_callback",
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"FlyteCallbackHandler": "langchain_community.callbacks.flyte_callback",
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"HumanApprovalCallbackHandler": "langchain_community.callbacks.human",
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"InfinoCallbackHandler": "langchain_community.callbacks.infino_callback",
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"LLMThoughtLabeler": "langchain_community.callbacks.streamlit",
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"LLMonitorCallbackHandler": "langchain_community.callbacks.llmonitor_callback",
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"LabelStudioCallbackHandler": "langchain_community.callbacks.labelstudio_callback",
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"MlflowCallbackHandler": "langchain_community.callbacks.mlflow_callback",
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"OpenAICallbackHandler": "langchain_community.callbacks.openai_info",
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"PromptLayerCallbackHandler": "langchain_community.callbacks.promptlayer_callback",
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"SageMakerCallbackHandler": "langchain_community.callbacks.sagemaker_callback",
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"StreamlitCallbackHandler": "langchain_community.callbacks.streamlit",
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"TrubricsCallbackHandler": "langchain_community.callbacks.trubrics_callback",
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"UpstashRatelimitError": "langchain_community.callbacks.upstash_ratelimit_callback",
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"UpstashRatelimitHandler": "langchain_community.callbacks.upstash_ratelimit_callback", # noqa
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"UpTrainCallbackHandler": "langchain_community.callbacks.uptrain_callback",
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"WandbCallbackHandler": "langchain_community.callbacks.wandb_callback",
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"WhyLabsCallbackHandler": "langchain_community.callbacks.whylabs_callback",
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"get_openai_callback": "langchain_community.callbacks.manager",
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"wandb_tracing_enabled": "langchain_community.callbacks.manager",
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}
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def __getattr__(name: str) -> Any:
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if name in _module_lookup:
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module = importlib.import_module(_module_lookup[name])
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return getattr(module, name)
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raise AttributeError(f"module {__name__} has no attribute {name}")
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__all__ = [
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"AimCallbackHandler",
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"ArgillaCallbackHandler",
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"ArizeCallbackHandler",
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"ArthurCallbackHandler",
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"ClearMLCallbackHandler",
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"CometCallbackHandler",
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"ContextCallbackHandler",
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"FiddlerCallbackHandler",
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"FlyteCallbackHandler",
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"HumanApprovalCallbackHandler",
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"InfinoCallbackHandler",
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"LLMThoughtLabeler",
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"LLMonitorCallbackHandler",
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"LabelStudioCallbackHandler",
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"MlflowCallbackHandler",
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"OpenAICallbackHandler",
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"PromptLayerCallbackHandler",
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"SageMakerCallbackHandler",
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"StreamlitCallbackHandler",
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"TrubricsCallbackHandler",
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"UpstashRatelimitError",
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"UpstashRatelimitHandler",
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"UpTrainCallbackHandler",
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"WandbCallbackHandler",
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"WhyLabsCallbackHandler",
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"get_openai_callback",
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"wandb_tracing_enabled",
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]
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