Home / File/ mlflow_callback.py — langchain Source File

mlflow_callback.py — langchain Source File

Architecture documentation for mlflow_callback.py, a python file in the langchain codebase. 3 imports, 0 dependents.

File python CoreAbstractions Serialization 3 imports 2 functions

Entity Profile

Dependency Diagram

graph LR
  95d32a48_ce12_1961_d1db_0f874bfbd7e4["mlflow_callback.py"]
  8e2034b7_ceb8_963f_29fc_2ea6b50ef9b3["typing"]
  95d32a48_ce12_1961_d1db_0f874bfbd7e4 --> 8e2034b7_ceb8_963f_29fc_2ea6b50ef9b3
  439a4142_6fa6_fe9a_2cba_7c9fb0cdceb7["langchain_classic._api"]
  95d32a48_ce12_1961_d1db_0f874bfbd7e4 --> 439a4142_6fa6_fe9a_2cba_7c9fb0cdceb7
  a9725464_e6ac_5448_e04f_77f5ea265bb6["langchain_community.callbacks.mlflow_callback"]
  95d32a48_ce12_1961_d1db_0f874bfbd7e4 --> a9725464_e6ac_5448_e04f_77f5ea265bb6
  style 95d32a48_ce12_1961_d1db_0f874bfbd7e4 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

from typing import TYPE_CHECKING, Any

from langchain_classic._api import create_importer

if TYPE_CHECKING:
    from langchain_community.callbacks.mlflow_callback import (
        MlflowCallbackHandler,
        MlflowLogger,
        analyze_text,
        construct_html_from_prompt_and_generation,
    )

# Create a way to dynamically look up deprecated imports.
# Used to consolidate logic for raising deprecation warnings and
# handling optional imports.
DEPRECATED_LOOKUP = {
    "analyze_text": "langchain_community.callbacks.mlflow_callback",
    "construct_html_from_prompt_and_generation": (
        "langchain_community.callbacks.mlflow_callback"
    ),
    "MlflowLogger": "langchain_community.callbacks.mlflow_callback",
    "MlflowCallbackHandler": "langchain_community.callbacks.mlflow_callback",
}

_import_attribute = create_importer(__file__, deprecated_lookups=DEPRECATED_LOOKUP)


def __getattr__(name: str) -> Any:
    """Look up attributes dynamically."""
    return _import_attribute(name)


__all__ = [
    "MlflowCallbackHandler",
    "MlflowLogger",
    "analyze_text",
    "construct_html_from_prompt_and_generation",
]

Subdomains

Dependencies

  • langchain_classic._api
  • langchain_community.callbacks.mlflow_callback
  • typing

Frequently Asked Questions

What does mlflow_callback.py do?
mlflow_callback.py is a source file in the langchain codebase, written in python. It belongs to the CoreAbstractions domain, Serialization subdomain.
What functions are defined in mlflow_callback.py?
mlflow_callback.py defines 2 function(s): __getattr__, langchain_community.
What does mlflow_callback.py depend on?
mlflow_callback.py imports 3 module(s): langchain_classic._api, langchain_community.callbacks.mlflow_callback, typing.
Where is mlflow_callback.py in the architecture?
mlflow_callback.py is located at libs/langchain/langchain_classic/callbacks/mlflow_callback.py (domain: CoreAbstractions, subdomain: Serialization, directory: libs/langchain/langchain_classic/callbacks).

Analyze Your Own Codebase

Get architecture documentation, dependency graphs, and domain analysis for your codebase in minutes.

Try Supermodel Free