from ragas_experimental.model.notion_model import NotionModel
Project
Use this class to represent the AI project that we are working on and to interact with datasets and experiments in it.
Project
Project (project_id:str, ragas_api_client:Optional[ragas_experimental.bac kends.ragas_api_client.RagasApiClient]=None)
Initialize self. See help(type(self)) for accurate signature.
= "api-key"
RAGAS_APP_TOKEN = "https://api.dev.app.ragas.io"
RAGAS_API_BASE_URL
"RAGAS_APP_TOKEN"] = RAGAS_APP_TOKEN
os.environ["RAGAS_API_BASE_URL"] = RAGAS_API_BASE_URL os.environ[
#project = Project.create("Demo Project")
= Project(project_id="1ef0843b-231f-4a2c-b64d-d39bcee9d830")
project project
Project(name='yann-lecun-wisdom')
Project.get
Project.get (name:str, ragas_api_client:Optional[ragas_experimental.backe nds.ragas_api_client.RagasApiClient]=None)
Get an existing project by name.
"SuperMe") Project.get(
Project(name='SuperMe')
#project.delete()
Manage datasets
create_dataset_columns
create_dataset_columns (project_id, dataset_id, columns, create_dataset_column_func)
Project.create_dataset
Project.create_dataset (model:Type[pydantic.main.BaseModel], name:Optional[str]=None)
*Create a new dataset database.
Args: name (str): Name of the dataset model (NotionModel): Model class defining the database structure
Returns: Dataset: A new dataset object for managing entries*
import ragas_experimental.typing as rt
# create an example dataset
class TestModel(BaseModel):
id: int
str
name: str
description: "tag1", "tag2", "tag3"]
tags: t.Literal["red", "green", "blue"], rt.Select(colors=["red", "green", "blue"])]
tags_color_coded: t.Annotated[t.Literal[str, rt.Url()] = "https://www.google.com" url: t.Annotated[
= project.create_dataset(TestModel)
test_dataset test_dataset
Dataset(name=TestModel, model=TestModel, len=0)
Project.get_dataset_by_id
Project.get_dataset_by_id (dataset_id:str, model)
Get an existing dataset by name.
project.get_dataset_by_id(test_dataset.dataset_id, TestModel)
Dataset(name=TestModel, model=TestModel, len=0)
Project.get_dataset
Project.get_dataset (dataset_name:str, model)
Get an existing dataset by name.
"TestModel", TestModel) project.get_dataset(
Dataset(name=TestModel, model=TestModel, len=0)