Files
langchain-python/langchain/callbacks/file.py
T
mbchang d3bdb8ea6d FileCallbackHandler (#5589)
# like
[StdoutCallbackHandler](https://github.com/hwchase17/langchain/blob/master/langchain/callbacks/stdout.py),
but writes to a file

When running experiments I have found myself wanting to log the outputs
of my chains in a more lightweight way than using WandB tracing. This PR
contributes a callback handler that writes to file what
`StdoutCallbackHandler` would print.

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## Example Notebook

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See the included `filecallbackhandler.ipynb` notebook for usage. Would
it be better to include this notebook under `modules/callbacks` or under
`integrations/`?

![image](https://github.com/hwchase17/langchain/assets/6439365/c624de0e-343f-4eab-a55b-8808a887489f)


## Who can review?

Community members can review the PR once tests pass. Tag
maintainers/contributors who might be interested:

@agola11

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  @hwchase17 - project lead

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2023-06-03 16:48:48 -07:00

76 lines
2.5 KiB
Python

"""Callback Handler that writes to a file."""
from typing import Any, Dict, Optional, TextIO, cast
from langchain.callbacks.base import BaseCallbackHandler
from langchain.input import print_text
from langchain.schema import AgentAction, AgentFinish
class FileCallbackHandler(BaseCallbackHandler):
"""Callback Handler that writes to a file."""
def __init__(
self, filename: str, mode: str = "a", color: Optional[str] = None
) -> None:
"""Initialize callback handler."""
self.file = cast(TextIO, open(filename, mode))
self.color = color
def __del__(self) -> None:
"""Destructor to cleanup when done."""
self.file.close()
def on_chain_start(
self, serialized: Dict[str, Any], inputs: Dict[str, Any], **kwargs: Any
) -> None:
"""Print out that we are entering a chain."""
class_name = serialized["name"]
print_text(
f"\n\n\033[1m> Entering new {class_name} chain...\033[0m",
end="\n",
file=self.file,
)
def on_chain_end(self, outputs: Dict[str, Any], **kwargs: Any) -> None:
"""Print out that we finished a chain."""
print_text("\n\033[1m> Finished chain.\033[0m", end="\n", file=self.file)
def on_agent_action(
self, action: AgentAction, color: Optional[str] = None, **kwargs: Any
) -> Any:
"""Run on agent action."""
print_text(action.log, color=color if color else self.color, file=self.file)
def on_tool_end(
self,
output: str,
color: Optional[str] = None,
observation_prefix: Optional[str] = None,
llm_prefix: Optional[str] = None,
**kwargs: Any,
) -> None:
"""If not the final action, print out observation."""
if observation_prefix is not None:
print_text(f"\n{observation_prefix}", file=self.file)
print_text(output, color=color if color else self.color, file=self.file)
if llm_prefix is not None:
print_text(f"\n{llm_prefix}", file=self.file)
def on_text(
self,
text: str,
color: Optional[str] = None,
end: str = "",
**kwargs: Any,
) -> None:
"""Run when agent ends."""
print_text(text, color=color if color else self.color, end=end, file=self.file)
def on_agent_finish(
self, finish: AgentFinish, color: Optional[str] = None, **kwargs: Any
) -> None:
"""Run on agent end."""
print_text(
finish.log, color=color if self.color else color, end="\n", file=self.file
)