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["pydantic (>=2.0.0)"] +sweeps = ["sweeps (>=0.2.0)"] + [[package]] name = "wcwidth" version = "0.2.13" @@ -5161,4 +5409,4 @@ testing = ["big-O", "jaraco.functools", "jaraco.itertools", "more-itertools", "p [metadata] lock-version = "2.0" python-versions = ">=3.10,<3.12" -content-hash = "3fad4d104de662e6ee2a947b3a043928e20dabaada3ecdab4a06900c653450f0" +content-hash = "b8f4166c32358e7c9d1625564ee9410e33eedce118715ff08a786aaa0a0ab765" diff --git a/pyproject.toml b/pyproject.toml index c93deb028..679532750 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -33,6 +33,7 @@ rouge = "^1.0.1" opentelemetry-api = "^1.22.0" opentelemetry-sdk = "^1.22.0" huggingface-hub = "^0.20.3" +wandb = "^0.16.3" [tool.poetry.group.dev.dependencies] mypy = "^1.8.0" diff --git a/src/intelligence_layer/evaluation/data_storage/dataset_repository.py b/src/intelligence_layer/evaluation/data_storage/dataset_repository.py index abd995203..d5218856a 100644 --- a/src/intelligence_layer/evaluation/data_storage/dataset_repository.py +++ b/src/intelligence_layer/evaluation/data_storage/dataset_repository.py @@ -1,10 +1,14 @@ from abc import ABC, abstractmethod +from os import getenv from pathlib import Path from typing import Dict, Iterable, Optional, Sequence, cast from uuid import uuid4 +import wandb +from dotenv import load_dotenv from fsspec import AbstractFileSystem # type: ignore from fsspec.implementations.local import LocalFileSystem # type: ignore +from wandb.data_types import Table from intelligence_layer.core import Input from intelligence_layer.core.tracer import JsonSerializer, PydanticSerializable @@ -47,6 +51,54 @@ def list_datasets(self) -> Iterable[str]: pass +class WandbDatasetRepository(DatasetRepository): + def __init__(self, run_id: str, wandb_project_name: str) -> None: + self._run_id = run_id + load_dotenv() + wandb.login(key=getenv("WANDB_API_KEY")) + self.wandb_project_name = wandb_project_name + + def create_dataset( + self, + examples: Iterable[Example[Input, ExpectedOutput]], + ) -> str: + run = wandb.init(project=self.wandb_project_name, job_type="dataset_creation") + dataset_id = str(uuid4()) + artifact = wandb.Artifact(name=dataset_id, type="dataset") + table = Table(columns=["id", "input", "expected_output"]) + for example in examples: + table.add_data( + example.id, + JsonSerializer(example.input).model_dump_json(indent=2), + JsonSerializer(example.expected_output).model_dump_json(indent=2), + ) + artifact.add(table, dataset_id) + run.log_artifact(artifact) + + def examples_by_id( + self, + dataset_id: str, + input_type: type[Input], + expected_output_type: type[ExpectedOutput], + ) -> Optional[Iterable[Example[Input, ExpectedOutput]]]: + raise NotImplementedError + + def example( + self, + dataset_id: str, + example_id: str, + input_type: type[Input], + expected_output_type: type[ExpectedOutput], + ) -> Optional[Example[Input, ExpectedOutput]]: + raise NotImplementedError + + def delete_dataset(self, dataset_id: str) -> None: + raise NotImplementedError + + def list_datasets(self) -> Iterable[str]: + raise NotImplementedError + + class FileSystemDatasetRepository(DatasetRepository): _REPO_TYPE = "dataset"