from typing import List, Set
from colorama import Fore, Style
[docs]class DataSourceNotFoundException(Exception):
def __init__(self, path):
super().__init__(
f"Unable to find table at '{path}'. Please check that table exists."
)
[docs]class DataSourceNoNameException(Exception):
def __init__(self):
super().__init__(
"Unable to infer a name for this data source. Either table or name must be specified."
)
[docs]class FeastObjectNotFoundException(Exception):
pass
[docs]class EntityNotFoundException(FeastObjectNotFoundException):
def __init__(self, name, project=None):
if project:
super().__init__(f"Entity {name} does not exist in project {project}")
else:
super().__init__(f"Entity {name} does not exist")
[docs]class FeatureServiceNotFoundException(FeastObjectNotFoundException):
def __init__(self, name, project=None):
if project:
super().__init__(
f"Feature service {name} does not exist in project {project}"
)
else:
super().__init__(f"Feature service {name} does not exist")
[docs]class FeatureViewNotFoundException(FeastObjectNotFoundException):
def __init__(self, name, project=None):
if project:
super().__init__(f"Feature view {name} does not exist in project {project}")
else:
super().__init__(f"Feature view {name} does not exist")
[docs]class OnDemandFeatureViewNotFoundException(FeastObjectNotFoundException):
def __init__(self, name, project=None):
if project:
super().__init__(
f"On demand feature view {name} does not exist in project {project}"
)
else:
super().__init__(f"On demand feature view {name} does not exist")
[docs]class RequestDataNotFoundInEntityDfException(FeastObjectNotFoundException):
def __init__(self, feature_name, feature_view_name):
super().__init__(
f"Feature {feature_name} not found in the entity dataframe, but required by feature view {feature_view_name}"
)
[docs]class RequestDataNotFoundInEntityRowsException(FeastObjectNotFoundException):
def __init__(self, feature_names):
super().__init__(
f"Required request data source features {feature_names} not found in the entity rows, but required by feature views"
)
[docs]class DataSourceObjectNotFoundException(FeastObjectNotFoundException):
def __init__(self, name, project=None):
if project:
super().__init__(f"Data source {name} does not exist in project {project}")
else:
super().__init__(f"Data source {name} does not exist")
[docs]class S3RegistryBucketNotExist(FeastObjectNotFoundException):
def __init__(self, bucket):
super().__init__(f"S3 bucket {bucket} for the Feast registry does not exist")
[docs]class S3RegistryBucketForbiddenAccess(FeastObjectNotFoundException):
def __init__(self, bucket):
super().__init__(f"S3 bucket {bucket} for the Feast registry can't be accessed")
[docs]class SavedDatasetNotFound(FeastObjectNotFoundException):
def __init__(self, name: str, project: str):
super().__init__(f"Saved dataset {name} does not exist in project {project}")
[docs]class FeastProviderLoginError(Exception):
"""Error class that indicates a user has not authenticated with their provider."""
[docs]class FeastProviderNotImplementedError(Exception):
def __init__(self, provider_name):
super().__init__(f"Provider '{provider_name}' is not implemented")
[docs]class FeastProviderNotSetError(Exception):
def __init__(self):
super().__init__("Provider is not set, but is required")
[docs]class FeastFeatureServerTypeSetError(Exception):
def __init__(self, feature_server_type: str):
super().__init__(
f"Feature server type was set to {feature_server_type}, but the type should be determined by the provider"
)
[docs]class FeastFeatureServerTypeInvalidError(Exception):
def __init__(self, feature_server_type: str):
super().__init__(
f"Feature server type was set to {feature_server_type}, but this type is invalid"
)
[docs]class FeastModuleImportError(Exception):
def __init__(self, module_name: str, class_name: str):
super().__init__(
f"Could not import module '{module_name}' while attempting to load class '{class_name}'"
)
[docs]class FeastClassImportError(Exception):
def __init__(self, module_name: str, class_name: str):
super().__init__(
f"Could not import class '{class_name}' from module '{module_name}'"
)
[docs]class FeastOfflineStoreUnsupportedDataSource(Exception):
def __init__(self, offline_store_name: str, data_source_name: str):
super().__init__(
f"Offline Store '{offline_store_name}' does not support data source '{data_source_name}'"
)
[docs]class FeatureNameCollisionError(Exception):
def __init__(self, feature_refs_collisions: List[str], full_feature_names: bool):
if full_feature_names:
collisions = [ref.replace(":", "__") for ref in feature_refs_collisions]
error_message = (
"To resolve this collision, please ensure that the feature views or their own features "
"have different names. If you're intentionally joining the same feature view twice on "
"different sets of entities, please rename one of the feature views with '.with_name'."
)
else:
collisions = [ref.split(":")[1] for ref in feature_refs_collisions]
error_message = (
"To resolve this collision, either use the full feature name by setting "
"'full_feature_names=True', or ensure that the features in question have different names."
)
feature_names = ", ".join(set(collisions))
super().__init__(
f"Duplicate features named {feature_names} found.\n{error_message}"
)
[docs]class SpecifiedFeaturesNotPresentError(Exception):
def __init__(self, specified_features: List[str], feature_view_name: str):
features = ", ".join(specified_features)
super().__init__(
f"Explicitly specified features {features} not found in inferred list of features for '{feature_view_name}'"
)
[docs]class FeastOnlineStoreInvalidName(Exception):
def __init__(self, online_store_class_name: str):
super().__init__(
f"Online Store Class '{online_store_class_name}' should end with the string `OnlineStore`.'"
)
[docs]class FeastInvalidBaseClass(Exception):
def __init__(self, class_name: str, class_type: str):
super().__init__(
f"Class '{class_name}' should have `{class_type}` as a base class."
)
[docs]class FeastOnlineStoreUnsupportedDataSource(Exception):
def __init__(self, online_store_name: str, data_source_name: str):
super().__init__(
f"Online Store '{online_store_name}' does not support data source '{data_source_name}'"
)
[docs]class FeastEntityDFMissingColumnsError(Exception):
def __init__(self, expected, missing):
super().__init__(
f"The entity dataframe you have provided must contain columns {expected}, "
f"but {missing} were missing."
)
[docs]class FeastJoinKeysDuringMaterialization(Exception):
def __init__(
self, source: str, join_key_columns: Set[str], source_columns: Set[str]
):
super().__init__(
f"The DataFrame from {source} being materialized must have at least {join_key_columns} columns present, "
f"but these were missing: {join_key_columns - source_columns} "
)
[docs]class DockerDaemonNotRunning(Exception):
def __init__(self):
super().__init__(
"The Docker Python sdk cannot connect to the Docker daemon. Please make sure you have"
"the docker daemon installed, and that it is running."
)
[docs]class RegistryInferenceFailure(Exception):
def __init__(self, repo_obj_type: str, specific_issue: str):
super().__init__(
f"Inference to fill in missing information for {repo_obj_type} failed. {specific_issue}. "
"Try filling the information explicitly."
)
[docs]class BigQueryJobStillRunning(Exception):
def __init__(self, job_id):
super().__init__(f"The BigQuery job with ID '{job_id}' is still running.")
[docs]class BigQueryJobCancelled(Exception):
def __init__(self, job_id):
super().__init__(f"The BigQuery job with ID '{job_id}' was cancelled")
[docs]class RedshiftCredentialsError(Exception):
def __init__(self):
super().__init__("Redshift API failed due to incorrect credentials")
[docs]class RedshiftQueryError(Exception):
def __init__(self, details):
super().__init__(f"Redshift SQL Query failed to finish. Details: {details}")
[docs]class SnowflakeCredentialsError(Exception):
def __init__(self):
super().__init__("Snowflake Connector failed due to incorrect credentials")
[docs]class SnowflakeQueryError(Exception):
def __init__(self, details):
super().__init__(f"Snowflake SQL Query failed to finish. Details: {details}")
[docs]class EntityTimestampInferenceException(Exception):
def __init__(self, expected_column_name: str):
super().__init__(
f"Please provide an entity_df with a column named {expected_column_name} representing the time of events."
)
[docs]class InvalidEntityType(Exception):
def __init__(self, entity_type: type):
super().__init__(
f"The entity dataframe you have provided must be a Pandas DataFrame or a SQL query, "
f"but we found: {entity_type} "
)
[docs]class ConflictingFeatureViewNames(Exception):
# TODO: print file location of conflicting feature views
def __init__(self, feature_view_name: str):
super().__init__(
f"The feature view name: {feature_view_name} refers to feature views of different types."
)
[docs]class ExperimentalFeatureNotEnabled(Exception):
def __init__(self, feature_flag_name: str):
super().__init__(
f"You are attempting to use an experimental feature that is not enabled. Please run "
f"`feast alpha enable {feature_flag_name}` "
)
[docs]class RepoConfigPathDoesNotExist(Exception):
def __init__(self):
super().__init__("The repo_path attribute does not exist for the repo_config.")
[docs]class AwsLambdaDoesNotExist(Exception):
def __init__(self, resource_name: str):
super().__init__(
f"The AWS Lambda function {resource_name} should have been created properly, but does not exist."
)
[docs]class AwsAPIGatewayDoesNotExist(Exception):
def __init__(self, resource_name: str):
super().__init__(
f"The AWS API Gateway {resource_name} should have been created properly, but does not exist."
)
[docs]class IncompatibleRegistryStoreClass(Exception):
def __init__(self, actual_class: str, expected_class: str):
super().__init__(
f"The registry store class was expected to be {expected_class}, but was instead {actual_class}."
)
[docs]class FeastInvalidInfraObjectType(Exception):
def __init__(self):
super().__init__("Could not identify the type of the InfraObject.")
[docs]class SnowflakeIncompleteConfig(Exception):
def __init__(self, e: KeyError):
super().__init__(f"{e} not defined in a config file or feature_store.yaml file")
[docs]class SnowflakeQueryUnknownError(Exception):
def __init__(self, query: str):
super().__init__(f"Snowflake query failed: {query}")