context_factory.py
great_expectations.data_context.data_context.context_factory.get_context(project_config: DataContextConfig | Mapping | None = None, context_root_dir: None = None, project_root_dir: None = None, runtime_environment: dict | None = None, cloud_base_url: None = None, cloud_access_token: None = None, cloud_organization_id: None = None, cloud_mode: Optional[Literal[False]] = None, mode: Literal['ephemeral'] = None) EphemeralDataContext
great_expectations.data_context.data_context.context_factory.get_context(project_config: DataContextConfig | Mapping | None = None, context_root_dir: PathStr = None, project_root_dir: None = None, runtime_environment: dict | None = None, cloud_base_url: None = None, cloud_access_token: None = None, cloud_organization_id: None = None, cloud_mode: Optional[Literal[False]] = None) FileDataContext
great_expectations.data_context.data_context.context_factory.get_context(project_config: DataContextConfig | Mapping | None = None, context_root_dir: None = None, project_root_dir: PathStr = None, runtime_environment: dict | None = None, cloud_base_url: None = None, cloud_access_token: None = None, cloud_organization_id: None = None, cloud_mode: Optional[Literal[False]] = None, mode: Optional[Literal['file']] = None) FileDataContext
great_expectations.data_context.data_context.context_factory.get_context(project_config: DataContextConfig | Mapping | None = None, context_root_dir: None = None, project_root_dir: None = None, runtime_environment: dict | None = None, cloud_base_url: str | None = None, cloud_access_token: str | None = None, cloud_organization_id: str | None = None, cloud_mode: Literal[True] = None, mode: Optional[Literal['cloud']] = None) CloudDataContext
great_expectations.data_context.data_context.context_factory.get_context(project_config: DataContextConfig | Mapping | None = None, context_root_dir: PathStr | None = None, project_root_dir: PathStr | None = None, runtime_environment: dict | None = None, cloud_base_url: str | None = None, cloud_access_token: str | None = None, cloud_organization_id: str | None = None, cloud_mode: bool | None = None, mode: None = None) EphemeralDataContext | FileDataContext | CloudDataContext
Method to return the appropriate Data Context depending on parameters and environment.
- Usage:
import great_expectations as gx
my_context = gx.get_context(<insert_your_parameters>)
This method returns the appropriate Data Context based on which parameters you’ve passed and / or your environment configuration:
FileDataContext: Configuration stored in a file.
EphemeralDataContext: Configuration passed in at runtime.
CloudDataContext: Configuration stored in Great Expectations Cloud.
Read on for more details about each of the Data Context types:
FileDataContext: A Data Context configured via a yaml file. Returned by default if you have no cloud configuration set up and pass no parameters. If you pass context_root_dir, we will look for a great_expectations.yml configuration there. If not we will look at the following locations:
Path defined in a GX_HOME environment variable.
The current directory.
Parent directories of the current directory (e.g. in case you invoke the CLI in a sub folder of your Great Expectations directory).
Relevant parameters
project_root_dir: Provide the project root where a GX project exists or will be scaffolded (contains the context root).
context_root_dir: Provide an alternative directory to look for GX config.
project_config: Optionally override the configuration on disk - only if context_root_dir is also provided.
runtime_environment: Optionally override specific configuration values.
EphemeralDataContext: A temporary, in-memory Data Context typically used in a pipeline. The default if you pass in only a project_config and have no cloud configuration set up.
Relevant parameters
project_config: Used to configure the Data Context.
runtime_environment: Optionally override specific configuration values.
CloudDataContext: A Data Context whose configuration comes from Great Expectations Cloud. The default if you have a cloud configuration set up. Pass cloud_mode=False if you have a cloud configuration set up and you do not wish to create a CloudDataContext.
Cloud configuration can be set up by passing cloud_* parameters to get_context(), configuring cloud environment variables, or in a great_expectations.conf file.
Relevant parameters
cloud_base_url: Override env var or great_expectations.conf file.
cloud_access_token: Override env var or great_expectations.conf file.
cloud_organization_id: Override env var or great_expectations.conf file.
cloud_mode: Set to True or False to explicitly enable/disable cloud mode.
project_config: Optionally override the cloud configuration.
runtime_environment: Optionally override specific configuration values.
- Parameters
project_config – In-memory configuration for Data Context.
context_root_dir (str or pathlib.Path) – Path to directory that contains great_expectations.yml file
project_root_dir (str or pathlib.Path) – Path to project root (contains context root with GX config)
runtime_environment – A dictionary of values can be passed to a DataContext when it is instantiated. These values will override both values from the config variables file and from environment variables.
cloud_base_url – url for GX Cloud endpoint.
cloud_access_token – access_token for GX Cloud account.
cloud_organization_id – org_id for GX Cloud account.
cloud_mode – whether to run GX in Cloud mode (default is None). If None, cloud mode is assumed if cloud credentials are set up. Set to False to override.
mode – which mode to use. One of: ephemeral, file, cloud. Note: if mode is specified, cloud_mode is ignored.
- Returns
A Data Context. Either a FileDataContext, EphemeralDataContext, or CloudDataContext depending on environment and/or parameters.
- Raises
GXCloudConfigurationError – Cloud mode enabled, but missing configuration.