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WhyLabsCallbackHandler updates (#7621)

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Updates to the WhyLabsCallbackHandler and example notebook
- Update dependency to langkit 0.0.6 which defines new helper methods
for callback integrations
- Update WhyLabsCallbackHandler to use the new `get_callback_instance`
so that the callback is mostly defined in langkit
- Remove much of the implementation of the WhyLabsCallbackHandler here
in favor of the callback instance

This does not change the behavior of the whylabs callback handler
implementation but is a reorganization that moves some of the
implementation externally to our optional dependency package, and should
make future updates easier.

@agola11
This commit is contained in:
Jamie Broomall 2023-07-12 22:46:56 -05:00 committed by GitHub
parent 53722dcfdc
commit 0e1d7a27c6
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GPG Key ID: 4AEE18F83AFDEB23
4 changed files with 64 additions and 129 deletions
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20
docs/extras/ecosystem/integrations/whylabs_profiling.ipynb
View File

@ -1,6 +1,7 @@
{
"cells": [
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
@ -16,6 +17,7 @@
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
@ -28,10 +30,11 @@
"metadata": {},
"outputs": [],
"source": [
"!pip install langkit -q"
"%pip install langkit openai langchain"
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
@ -54,6 +57,7 @@
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {
"tags": []
@ -63,6 +67,7 @@
]
},
{
"attachments": {},
"cell_type": "markdown",
"metadata": {},
"source": [
@ -125,16 +130,7 @@
" ]\n",
")\n",
"print(result)\n",
"# you don't need to call flush, this will occur periodically, but to demo let's not wait.\n",
"whylabs.flush()"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"# you don't need to call close to write profiles to WhyLabs, upload will occur periodically, but to demo let's not wait.\n",
"whylabs.close()"
]
}
@ -155,7 +151,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.6"
"version": "3.8.10"
},
"vscode": {
"interpreter": {

152
langchain/callbacks/whylabs_callback.py
View File

@ -1,10 +1,9 @@
from __future__ import annotations
import logging
from typing import TYPE_CHECKING, Any, Dict, List, Optional, Union
from typing import TYPE_CHECKING, Any, Optional
from langchain.callbacks.base import BaseCallbackHandler
from langchain.schema import AgentAction, AgentFinish, Generation, LLMResult
from langchain.utils import get_from_env
if TYPE_CHECKING:
@ -91,99 +90,29 @@ class WhyLabsCallbackHandler(BaseCallbackHandler):
themes (bool): Whether to enable theme analysis. Defaults to False.
"""
def __init__(self, logger: Logger):
"""Initiate the rolling logger"""
def __init__(self, logger: Logger, handler: Any):
"""Initiate the rolling logger."""
super().__init__()
self.logger = logger
diagnostic_logger.info(
"Initialized WhyLabs callback handler with configured whylogs Logger."
)
def _profile_generations(self, generations: List[Generation]) -> None:
for gen in generations:
self.logger.log({"response": gen.text})
def on_llm_start(
self, serialized: Dict[str, Any], prompts: List[str], **kwargs: Any
) -> None:
"""Pass the input prompts to the logger"""
for prompt in prompts:
self.logger.log({"prompt": prompt})
def on_llm_end(self, response: LLMResult, **kwargs: Any) -> None:
"""Pass the generated response to the logger."""
for generations in response.generations:
self._profile_generations(generations)
def on_llm_new_token(self, token: str, **kwargs: Any) -> None:
"""Do nothing."""
pass
def on_llm_error(
self, error: Union[Exception, KeyboardInterrupt], **kwargs: Any
) -> None:
"""Do nothing."""
pass
def on_chain_start(
self, serialized: Dict[str, Any], inputs: Dict[str, Any], **kwargs: Any
) -> None:
"""Do nothing."""
def on_chain_end(self, outputs: Dict[str, Any], **kwargs: Any) -> None:
"""Do nothing."""
def on_chain_error(
self, error: Union[Exception, KeyboardInterrupt], **kwargs: Any
) -> None:
"""Do nothing."""
pass
def on_tool_start(
self,
serialized: Dict[str, Any],
input_str: str,
**kwargs: Any,
) -> None:
"""Do nothing."""
def on_agent_action(
self, action: AgentAction, color: Optional[str] = None, **kwargs: Any
) -> Any:
"""Do nothing."""
def on_tool_end(
self,
output: str,
color: Optional[str] = None,
observation_prefix: Optional[str] = None,
llm_prefix: Optional[str] = None,
**kwargs: Any,
) -> None:
"""Do nothing."""
def on_tool_error(
self, error: Union[Exception, KeyboardInterrupt], **kwargs: Any
) -> None:
"""Do nothing."""
pass
def on_text(self, text: str, **kwargs: Any) -> None:
"""Do nothing."""
def on_agent_finish(
self, finish: AgentFinish, color: Optional[str] = None, **kwargs: Any
) -> None:
"""Run on agent end."""
pass
if hasattr(handler, "init"):
handler.init(self)
if hasattr(handler, "_get_callbacks"):
self._callbacks = handler._get_callbacks()
else:
self._callbacks = dict()
diagnostic_logger.warning("initialized handler without callbacks.")
self._logger = logger
def flush(self) -> None:
self.logger._do_rollover()
diagnostic_logger.info("Flushing WhyLabs logger, writing profile...")
"""Explicitly write current profile if using a rolling logger."""
if self._logger and hasattr(self._logger, "_do_rollover"):
self._logger._do_rollover()
diagnostic_logger.info("Flushing WhyLabs logger, writing profile...")
def close(self) -> None:
self.logger.close()
diagnostic_logger.info("Closing WhyLabs logger, see you next time!")
"""Close any loggers to allow writing out of any profiles before exiting."""
if self._logger and hasattr(self._logger, "close"):
self._logger.close()
diagnostic_logger.info("Closing WhyLabs logger, see you next time!")
def __enter__(self) -> WhyLabsCallbackHandler:
return self
@ -203,7 +132,8 @@ class WhyLabsCallbackHandler(BaseCallbackHandler):
sentiment: bool = False,
toxicity: bool = False,
themes: bool = False,
) -> Logger:
logger: Optional[Logger] = None,
) -> WhyLabsCallbackHandler:
"""Instantiate whylogs Logger from params.
Args:
@ -224,31 +154,39 @@ class WhyLabsCallbackHandler(BaseCallbackHandler):
themes (bool): If True will initialize a model to calculate
distance to configured themes. Defaults to None and will not gather this
metric.
logger (Optional[Logger]): If specified will bind the configured logger as
the telemetry gathering agent. Defaults to LangKit schema with periodic
WhyLabs writer.
"""
# langkit library will import necessary whylogs libraries
import_langkit(sentiment=sentiment, toxicity=toxicity, themes=themes)
import whylogs as why
from langkit.callback_handler import get_callback_instance
from whylogs.api.writer.whylabs import WhyLabsWriter
from whylogs.core.schema import DeclarativeSchema
from whylogs.experimental.core.metrics.udf_metric import generate_udf_schema
from whylogs.experimental.core.udf_schema import udf_schema
api_key = api_key or get_from_env("api_key", "WHYLABS_API_KEY")
org_id = org_id or get_from_env("org_id", "WHYLABS_DEFAULT_ORG_ID")
dataset_id = dataset_id or get_from_env(
"dataset_id", "WHYLABS_DEFAULT_DATASET_ID"
)
whylabs_writer = WhyLabsWriter(
api_key=api_key, org_id=org_id, dataset_id=dataset_id
)
if logger is None:
api_key = api_key or get_from_env("api_key", "WHYLABS_API_KEY")
org_id = org_id or get_from_env("org_id", "WHYLABS_DEFAULT_ORG_ID")
dataset_id = dataset_id or get_from_env(
"dataset_id", "WHYLABS_DEFAULT_DATASET_ID"
)
whylabs_writer = WhyLabsWriter(
api_key=api_key, org_id=org_id, dataset_id=dataset_id
)
langkit_schema = DeclarativeSchema(generate_udf_schema())
whylabs_logger = why.logger(
mode="rolling", interval=5, when="M", schema=langkit_schema
)
whylabs_logger = why.logger(
mode="rolling", interval=5, when="M", schema=udf_schema()
)
whylabs_logger.append_writer(writer=whylabs_writer)
whylabs_logger.append_writer(writer=whylabs_writer)
else:
diagnostic_logger.info("Using passed in whylogs logger {logger}")
whylabs_logger = logger
callback_handler_cls = get_callback_instance(logger=whylabs_logger, impl=cls)
diagnostic_logger.info(
"Started whylogs Logger with WhyLabsWriter and initialized LangKit. 📝"
)
return cls(whylabs_logger)
return callback_handler_cls

19
poetry.lock generated
View File

@ -1,4 +1,4 @@
# This file is automatically @generated by Poetry 1.4.2 and should not be changed by hand.
# This file is automatically @generated by Poetry 1.4.1 and should not be changed by hand.
[[package]]
name = "absl-py"
@ -4382,6 +4382,7 @@ optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*, !=3.6.*"
files = [
{file = "jsonpointer-2.4-py2.py3-none-any.whl", hash = "sha256:15d51bba20eea3165644553647711d150376234112651b4f1811022aecad7d7a"},
{file = "jsonpointer-2.4.tar.gz", hash = "sha256:585cee82b70211fa9e6043b7bb89db6e1aa49524340dde8ad6b63206ea689d88"},
]
[[package]]
@ -4708,20 +4709,20 @@ data = ["language-data (>=1.1,<2.0)"]
[[package]]
name = "langkit"
version = "0.0.1"
version = "0.0.6"
description = "A collection of text metric udfs for whylogs profiling and monitoring in WhyLabs"
category = "main"
optional = true
python-versions = ">=3.8,<4.0"
files = [
{file = "langkit-0.0.1-py3-none-any.whl", hash = "sha256:361a593cafd1611d054dd92dda8c3f5532232e3465e88ab32347232078f8ccd3"},
{file = "langkit-0.0.1.tar.gz", hash = "sha256:d5ed28f21d6f641208f5da5f7d7ffd8a536b018868a004fb1fad54b83091e985"},
{file = "langkit-0.0.6-py3-none-any.whl", hash = "sha256:5b36830e9094934c933f8756177b5a8a5c7d6dc014ca49076a358c9c8fb5ddbc"},
{file = "langkit-0.0.6.tar.gz", hash = "sha256:08421bb0799fc831b0d1e431e600cad8acab7d7bdbf6aa6c7535291172a66343"},
]
[package.dependencies]
pandas = "*"
textstat = ">=0.7.3,<0.8.0"
whylogs = "1.1.45.dev6"
whylogs = ">=1.2.3,<2.0.0"
[package.extras]
all = ["datasets (>=2.12.0,<3.0.0)", "nltk (>=3.8.1,<4.0.0)", "openai (>=0.27.6,<0.28.0)", "sentence-transformers (>=2.2.2,<3.0.0)", "torch"]
@ -12166,14 +12167,14 @@ urllib3 = ">=1.25.3"
[[package]]
name = "whylogs"
version = "1.1.45.dev6"
version = "1.2.3"
description = "Profile and monitor your ML data pipeline end-to-end"
category = "main"
optional = true
python-versions = ">=3.7.1,<4"
files = [
{file = "whylogs-1.1.45.dev6-py3-none-any.whl", hash = "sha256:8d5a96ecf7b181b5034168b7ba979d463a2dd33a8b7a728ffd911b493de89857"},
{file = "whylogs-1.1.45.dev6.tar.gz", hash = "sha256:a4b81bea7adf407de200ae6e8c7b53316b3304b3922ae4518a0f4234086db7ba"},
{file = "whylogs-1.2.3-py3-none-any.whl", hash = "sha256:92cfe02985760c52d25b88bad69001901844ff51c76b62537bce1c31d12c271e"},
{file = "whylogs-1.2.3.tar.gz", hash = "sha256:d0000f502b1b30c48a5ad9535488370e961e85825dafdd75421447ffff0516e7"},
]
[package.dependencies]
@ -12718,4 +12719,4 @@ text-helpers = ["chardet"]
[metadata]
lock-version = "2.0"
python-versions = ">=3.8.1,<4.0"
content-hash = "e700e2ae2c9a9f7f6efd3bfbec6063650864d45bf8439ebfd14dcf0683d0f17a"
content-hash = "a77a3b8ac071e8ae9cd4004e577dbe4fd39552a69adb3277b06ab91f3fd0c77b"

2
pyproject.toml
View File

@ -92,7 +92,7 @@ pandas = {version = "^2.0.1", optional = true}
telethon = {version = "^1.28.5", optional = true}
neo4j = {version = "^5.8.1", optional = true}
zep-python = {version=">=0.32", optional=true}
langkit = {version = ">=0.0.1.dev3, <0.1.0", optional = true}
langkit = {version = ">=0.0.6, <0.1.0", optional = true}
chardet = {version="^5.1.0", optional=true}
requests-toolbelt = {version = "^1.0.0", optional = true}
openlm = {version = "^0.0.5", optional = true}