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python-versions = ">=3.12,!=3.12.5,<4" -content-hash = "efd7cc5b0f3393b74bdba139dc7ada6bc56f6f5c18a8e7ff1e503fb8312fd2f2" +content-hash = "6165a0e172a3c0b80458f7105703e25a2a6d1e00d6b6b8b3ca928e8e94a8a99d" diff --git a/pyproject.toml b/pyproject.toml index c2f90380..2c36ac7d 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -93,6 +93,7 @@ openai = "^2.12.0" pyarrow = "^22.0.0" tiktoken = "^0.12.0" uvicorn = ">=0.38,<0.41" +modellogger = {git = "https://github.com/mlcommons/modellogger.git", rev = "57e2028f2f1b3badba45ea0bb49a057e9a665df6"} [tool.poetry.group.dev.dependencies] pytest-datafiles = "^3.0.0" diff --git a/src/modelbench/benchmark_runner.py b/src/modelbench/benchmark_runner.py index 29bd4657..0131376f 100644 --- a/src/modelbench/benchmark_runner.py +++ b/src/modelbench/benchmark_runner.py @@ -8,18 +8,18 @@ from datetime import datetime from typing import Any, Iterable, Optional, Sequence +from modellogger.log_config import get_logger from pydantic import BaseModel from tqdm import tqdm from modelbench.benchmark_runner_items import ModelgaugeTestWrapper, TestRunItem, Timer -from modelbench.benchmarks import BenchmarkDefinition, BaseBenchmarkScore +from modelbench.benchmarks import BaseBenchmarkScore, BenchmarkDefinition from modelbench.cache import DiskCache, MBCache from modelbench.run_journal import RunJournal from modelgauge.annotator import Annotator from modelgauge.annotator_registry import ANNOTATORS from modelgauge.base_test import PromptResponseTest, TestResult from modelgauge.config import raise_if_missing_from_config -from modelgauge.log_config import get_logger from modelgauge.monitoring import PROMETHEUS from modelgauge.pipeline import NullCache, Pipe, Pipeline, Sink, Source from modelgauge.pipeline_runner import PipelineRunner diff --git a/src/modelbench/cli.py b/src/modelbench/cli.py index eafda381..fd3f7c3f 100644 --- a/src/modelbench/cli.py +++ b/src/modelbench/cli.py @@ -2,7 +2,6 @@ import faulthandler import io import json -import logging import os # silence Together's upgrade message, as the new library is not out of beta @@ -18,22 +17,19 @@ import click import termcolor from click import echo +from modellogger.log_config import configure_logging from rich.console import Console from rich.table import Table import modelgauge.annotators.cheval.registration # noqa: F401 from modelbench.benchmark_runner import BenchmarkRun, BenchmarkRunner, JsonRunTracker, TqdmRunTracker from modelbench.benchmarks import GeneralPurposeAiChatBenchmarkV1, SecurityBenchmark -from modelbench.consistency_checker import ( - ConsistencyChecker, - summarize_consistency_check_results, -) +from modelbench.consistency_checker import ConsistencyChecker, summarize_consistency_check_results from modelbench.record import dump_json from modelbench.standards import Standards from modelgauge.config import load_secrets_from_config, write_default_config from modelgauge.load_namespaces import load_namespaces from modelgauge.locales import DEFAULT_LOCALE, LOCALES -from modelgauge.log_config import get_file_logging_handler from modelgauge.monitoring import PROMETHEUS from modelgauge.preflight import check_secrets, make_sut from modelgauge.prompt_sets import GENERAL_PROMPT_SETS, SECURITY_JAILBREAK_PROMPT_SETS @@ -142,7 +138,7 @@ def cli(ctx: click.Context, run_path) -> None: log_dir = run_path / "logs" log_dir.mkdir(exist_ok=True, parents=True) filename = log_dir / f'modelbench-{datetime.now().strftime("%y%m%d-%H%M%S")}.log' - logging.basicConfig(level=logging.DEBUG, handlers=[get_file_logging_handler(filename)], force=True) + configure_logging(app_name="modelbench", log_file=filename) write_default_config() load_namespaces(disable_progress_bar=True) diff --git a/src/modelgauge/annotation_pipeline.py b/src/modelgauge/annotation_pipeline.py index 4298b917..49b4c381 100644 --- a/src/modelgauge/annotation_pipeline.py +++ b/src/modelgauge/annotation_pipeline.py @@ -1,14 +1,12 @@ import time + +from modellogger.log_config import get_logger from pydantic import BaseModel from modelgauge.annotator import Annotator from modelgauge.dataset import AnnotationDataset, PromptResponseDataset -from modelgauge.log_config import get_logger from modelgauge.pipeline import CachingPipe, Pipe, Sink, Source -from modelgauge.single_turn_prompt_response import ( - AnnotatedSUTInteraction, - SUTInteraction, -) +from modelgauge.single_turn_prompt_response import AnnotatedSUTInteraction, SUTInteraction logger = get_logger(__name__) diff --git a/src/modelgauge/annotators/llama_guard_annotator.py b/src/modelgauge/annotators/llama_guard_annotator.py index 6d46f858..8a88150a 100644 --- a/src/modelgauge/annotators/llama_guard_annotator.py +++ b/src/modelgauge/annotators/llama_guard_annotator.py @@ -3,12 +3,11 @@ from string import Template from typing import Callable, Dict, List, Optional -from pydantic import BaseModel +from modellogger.log_config import get_logger from modelgauge.annotation import SafetyAnnotation from modelgauge.annotator import Annotator from modelgauge.annotator_registry import ANNOTATORS -from modelgauge.log_config import get_logger from modelgauge.prompt import ChatPrompt, TextPrompt from modelgauge.secret_values import InjectSecret from modelgauge.single_turn_prompt_response import TestItem diff --git a/src/modelgauge/cli.py b/src/modelgauge/cli.py index 1ac3eda8..23f88e42 100644 --- a/src/modelgauge/cli.py +++ b/src/modelgauge/cli.py @@ -1,10 +1,10 @@ -import logging import os import pathlib import warnings from typing import Optional import click +from modellogger.log_config import get_logger from modelgauge.annotator import Annotator from modelgauge.annotator_registry import ANNOTATORS @@ -36,7 +36,7 @@ from modelgauge.sut_registry import SUTS from modelgauge.test_registry import TESTS -logger = logging.getLogger(__name__) +logger = get_logger(__name__) @cli.command(name="list") @@ -338,8 +338,6 @@ def run_job( If running a SUT, the file must have 'UID' and 'Text' columns. The output will be saved to a CSV file. If running ONLY annotators, the file must have 'UID', 'Prompt', 'SUT', and 'Response' columns. The output will be saved to a json lines file. """ - logging.basicConfig(level=logging.DEBUG if debug else logging.INFO) - # TODO: break this function up. It's branching too much # make sure the job has everything it needs to run secrets = load_secrets_from_config() diff --git a/src/modelgauge/command_line.py b/src/modelgauge/command_line.py index d95f8df4..ca37d8b4 100644 --- a/src/modelgauge/command_line.py +++ b/src/modelgauge/command_line.py @@ -3,6 +3,8 @@ import sys import click +from modellogger.log_config import configure_logging + from modelgauge.annotator_registry import ANNOTATORS from modelgauge.cli_lazy import LOAD_ALL, LazyModuleImportGroup from modelgauge.config import write_default_config @@ -26,7 +28,7 @@ def cli(): """Run the ModelGauge library from the command line.""" # To add a command, decorate your function with @cli.command(). - + configure_logging(app_name="modelgauge") # Always create the config directory if it doesn't already exist. write_default_config() diff --git a/src/modelgauge/config.py b/src/modelgauge/config.py index b04d3d03..23069bf7 100644 --- a/src/modelgauge/config.py +++ b/src/modelgauge/config.py @@ -5,9 +5,9 @@ from typing import Dict, Mapping, Sequence import tomli +from modellogger.log_config import get_logger from modelgauge import config_templates -from modelgauge.log_config import get_logger from modelgauge.secret_values import MissingSecretValues, RawSecrets, SecretDescription DEFAULT_CONFIG_DIR = "config" diff --git a/src/modelgauge/general.py b/src/modelgauge/general.py index 02ad54ee..417680ee 100644 --- a/src/modelgauge/general.py +++ b/src/modelgauge/general.py @@ -7,10 +7,9 @@ import time from typing import List, Optional, Set, Type, TypeVar +from modellogger.log_config import get_logger from tqdm import tqdm -from modelgauge.log_config import get_logger - # Type vars helpful in defining templates. _InT = TypeVar("_InT") diff --git a/src/modelgauge/log_config.py b/src/modelgauge/log_config.py deleted file mode 100644 index 3ac4a89a..00000000 --- a/src/modelgauge/log_config.py +++ /dev/null @@ -1,28 +0,0 @@ -import logging -import time - - -class UTCFormatter(logging.Formatter): - converter = time.gmtime # type: ignore - - -def get_base_logging_handler(): - handler = logging.StreamHandler() - format = "%(asctime)s - %(name)s - %(levelname)s - %(message)s" - date_format = "%Y-%m-%dT%H:%M:%SZ" - handler.setFormatter(UTCFormatter(fmt=format, datefmt=date_format)) - return handler - - -def get_file_logging_handler(filename): - handler = logging.FileHandler(filename) - format = "%(asctime)s - %(name)s - %(levelname)s - %(message)s" - date_format = "%Y-%m-%dT%H:%M:%SZ" - handler.setFormatter(UTCFormatter(fmt=format, datefmt=date_format)) - return handler - - -def get_logger(name, level=logging.INFO): - logger = logging.getLogger(name) - logging.basicConfig(level=level, handlers=[get_base_logging_handler()]) - return logger diff --git a/src/modelgauge/pipeline_runner.py b/src/modelgauge/pipeline_runner.py index e03c39ab..09e78f04 100644 --- a/src/modelgauge/pipeline_runner.py +++ b/src/modelgauge/pipeline_runner.py @@ -3,18 +3,14 @@ from abc import ABC, abstractmethod from multiprocessing.pool import ThreadPool -from modelgauge.annotation_pipeline import ( - AnnotatorAssigner, - AnnotatorSink, - AnnotatorSource, - AnnotatorWorkers, -) +from modellogger.log_config import get_logger + +from modelgauge.annotation_pipeline import AnnotatorAssigner, AnnotatorSink, AnnotatorSource, AnnotatorWorkers from modelgauge.dataset import AnnotationDataset, PromptDataset, PromptResponseDataset -from modelgauge.log_config import get_logger +from modelgauge.model_options import ModelOptions from modelgauge.pipeline import Pipeline from modelgauge.prompt_pipeline import PromptSink, PromptSource, PromptSutAssigner, PromptSutWorkers -from modelgauge.ready import ReadyResponses, Readyable -from modelgauge.model_options import ModelOptions +from modelgauge.ready import Readyable, ReadyResponses logger = get_logger(__name__) diff --git a/src/modelgauge/prompt_pipeline.py b/src/modelgauge/prompt_pipeline.py index dd5df79a..385bba9e 100644 --- a/src/modelgauge/prompt_pipeline.py +++ b/src/modelgauge/prompt_pipeline.py @@ -1,13 +1,14 @@ import time from typing import Optional +from modellogger.log_config import get_logger + from modelgauge.dataset import PromptDataset, PromptResponseDataset -from modelgauge.log_config import get_logger +from modelgauge.model_options import ModelOptions from modelgauge.pipeline import CachingPipe, Pipe, Sink, Source from modelgauge.prompt import TextPrompt from modelgauge.single_turn_prompt_response import SUTInteraction, TestItem -from modelgauge.sut import PromptResponseSUT, SUT, SUTResponse -from modelgauge.model_options import ModelOptions +from modelgauge.sut import SUT, PromptResponseSUT, SUTResponse logger = get_logger(__name__) diff --git a/src/modelgauge/retry_decorator.py b/src/modelgauge/retry_decorator.py index 7a3c6956..ebbaae42 100644 --- a/src/modelgauge/retry_decorator.py +++ b/src/modelgauge/retry_decorator.py @@ -1,7 +1,7 @@ import functools import time -from modelgauge.log_config import get_logger +from modellogger.log_config import get_logger BASE_RETRY_COUNT = 3 MAX_RETRY_DURATION = 86400 # 1 day in seconds diff --git a/src/modelgauge/suts/google_genai.py b/src/modelgauge/suts/google_genai.py index d9717726..5f6c2ff6 100644 --- a/src/modelgauge/suts/google_genai.py +++ b/src/modelgauge/suts/google_genai.py @@ -5,22 +5,17 @@ from typing import Optional from google import genai -from google.api_core.exceptions import ( - InternalServerError, - ResourceExhausted, - RetryError, - TooManyRequests, -) -from google.genai.types import GenerateContentConfig, GenerateContentResponse, ThinkingConfig, FinishReason +from google.api_core.exceptions import InternalServerError, ResourceExhausted, RetryError, TooManyRequests +from google.genai.types import FinishReason, GenerateContentConfig, GenerateContentResponse, ThinkingConfig +from modellogger.log_config import get_logger from pydantic import BaseModel from modelgauge.general import APIException -from modelgauge.log_config import get_logger +from modelgauge.model_options import ModelOptions from modelgauge.prompt import TextPrompt from modelgauge.retry_decorator import retry -from modelgauge.secret_values import InjectSecret, loggable_secret, RequiredSecret, SecretDescription +from modelgauge.secret_values import InjectSecret, RequiredSecret, SecretDescription, loggable_secret from modelgauge.sut import REFUSAL_RESPONSE, PromptResponseSUT, SUTResponse # usort: skip -from modelgauge.model_options import ModelOptions from modelgauge.sut_capabilities import AcceptsTextPrompt from modelgauge.sut_decorator import modelgauge_sut from modelgauge.sut_registry import SUTS diff --git a/src/modelgauge/suts/huggingface_sut_factory.py b/src/modelgauge/suts/huggingface_sut_factory.py index 91405187..4e191060 100644 --- a/src/modelgauge/suts/huggingface_sut_factory.py +++ b/src/modelgauge/suts/huggingface_sut_factory.py @@ -1,13 +1,10 @@ import logging + import huggingface_hub as hfh -from modelgauge.auth.huggingface_inference_token import HuggingFaceInferenceToken -from modelgauge.dynamic_sut_factory import ( - DynamicSUTFactory, - ModelNotSupportedError, - ProviderNotFoundError, -) +from modellogger.log_config import get_logger -from modelgauge.log_config import get_logger +from modelgauge.auth.huggingface_inference_token import HuggingFaceInferenceToken +from modelgauge.dynamic_sut_factory import DynamicSUTFactory, ModelNotSupportedError, ProviderNotFoundError from modelgauge.secret_values import InjectSecret, RawSecrets from modelgauge.sut_definition import SUTDefinition from modelgauge.suts.huggingface_chat_completion import ( diff --git a/src/modelgauge/suts/together_client.py b/src/modelgauge/suts/together_client.py index aa127582..46dc42da 100644 --- a/src/modelgauge/suts/together_client.py +++ b/src/modelgauge/suts/together_client.py @@ -2,21 +2,21 @@ from typing import Any, List, Optional import requests # type:ignore -from pydantic import BaseModel, Field +from modellogger.log_config import get_logger +from pydantic import BaseModel from requests.adapters import HTTPAdapter, Retry # type:ignore from modelgauge.auth.together_key import TogetherApiKey from modelgauge.general import APIException -from modelgauge.log_config import get_logger from modelgauge.prompt import ChatPrompt, ChatRole, TextPrompt from modelgauge.prompt_formatting import format_chat -from modelgauge.tokenizer import GeneralTokenizer from modelgauge.secret_values import InjectSecret from modelgauge.sut import PromptResponseSUT, SUTResponse from modelgauge.model_options import ModelOptions, TokenProbability, TopTokens from modelgauge.sut_capabilities import AcceptsChatPrompt, AcceptsTextPrompt, ProducesPerTokenLogProbabilities from modelgauge.sut_decorator import modelgauge_sut from modelgauge.sut_registry import SUTS +from modelgauge.tokenizer import GeneralTokenizer logger = get_logger(__name__)