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524 lines (374 loc) · 17.5 KB
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import importlib
import json
import logging
from typing import TYPE_CHECKING, Any, List, Optional, Set
from colorama import Fore, Style
from fastapi import status as HttpStatusCode
if TYPE_CHECKING:
from grpc import StatusCode as GrpcStatusCode
from feast.field import Field
logger = logging.getLogger(__name__)
class FeastError(Exception):
pass
def grpc_status_code(self) -> "GrpcStatusCode":
from grpc import StatusCode as GrpcStatusCode
return GrpcStatusCode.INTERNAL
def http_status_code(self) -> int:
return HttpStatusCode.HTTP_500_INTERNAL_SERVER_ERROR
def __str__(self) -> str:
if hasattr(self, "__overridden_message__"):
return str(getattr(self, "__overridden_message__"))
return super().__str__()
def __repr__(self) -> str:
if hasattr(self, "__overridden_message__"):
return f"{type(self).__name__}('{getattr(self, '__overridden_message__')}')"
return super().__repr__()
def to_error_detail(self) -> str:
"""
Returns a JSON representation of the error for serialization purposes.
Returns:
str: a string representation of a JSON document including `module`, `class` and `message` fields.
"""
m = {
"module": f"{type(self).__module__}",
"class": f"{type(self).__name__}",
"message": f"{str(self)}",
}
return json.dumps(m)
@staticmethod
def from_error_detail(detail: str) -> Optional["FeastError"]:
try:
m = json.loads(detail)
if all(f in m for f in ["module", "class", "message"]):
module_name = m["module"]
class_name = m["class"]
message = m["message"]
module = importlib.import_module(module_name)
class_reference = getattr(module, class_name)
instance = class_reference.__new__(class_reference)
setattr(instance, "__overridden_message__", message)
return instance
except Exception as e:
logger.warning(f"Invalid error detail: {detail}: {e}")
return None
class DataSourceNotFoundException(FeastError):
def __init__(self, path):
super().__init__(
f"Unable to find table at '{path}'. Please check that table exists."
)
class DataSourceNoNameException(FeastError):
def __init__(self):
super().__init__(
"Unable to infer a name for this data source. Either table or name must be specified."
)
class DataSourceRepeatNamesException(FeastError):
def __init__(self, ds_name: str):
super().__init__(
f"Multiple data sources share the same case-insensitive name {ds_name}."
)
class FeastObjectNotFoundException(FeastError):
pass
def grpc_status_code(self) -> "GrpcStatusCode":
from grpc import StatusCode as GrpcStatusCode
return GrpcStatusCode.NOT_FOUND
def http_status_code(self) -> int:
return HttpStatusCode.HTTP_404_NOT_FOUND
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")
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")
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")
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")
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}"
)
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"
)
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")
class S3RegistryBucketNotExist(FeastObjectNotFoundException):
def __init__(self, bucket):
super().__init__(f"S3 bucket {bucket} for the Feast registry does not exist")
class S3RegistryBucketForbiddenAccess(FeastObjectNotFoundException):
def __init__(self, bucket):
super().__init__(f"S3 bucket {bucket} for the Feast registry can't be accessed")
class SavedDatasetNotFound(FeastObjectNotFoundException):
def __init__(self, name: str, project: str):
super().__init__(f"Saved dataset {name} does not exist in project {project}")
class ValidationReferenceNotFound(FeastObjectNotFoundException):
def __init__(self, name: str, project: str):
super().__init__(
f"Validation reference {name} does not exist in project {project}"
)
class FeastProviderLoginError(FeastError):
"""Error class that indicates a user has not authenticated with their provider."""
class FeastProviderNotImplementedError(FeastError):
def __init__(self, provider_name):
super().__init__(f"Provider '{provider_name}' is not implemented")
class FeastRegistryNotSetError(FeastError):
def __init__(self):
super().__init__("Registry is not set, but is required")
class FeastFeatureServerTypeInvalidError(FeastError):
def __init__(self, feature_server_type: str):
super().__init__(
f"Feature server type was set to {feature_server_type}, but this type is invalid"
)
class FeastRegistryTypeInvalidError(FeastError):
def __init__(self, registry_type: str):
super().__init__(
f"Feature server type was set to {registry_type}, but this type is invalid"
)
class FeastModuleImportError(FeastError):
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}'"
)
class FeastClassImportError(FeastError):
def __init__(self, module_name: str, class_name: str):
super().__init__(
f"Could not import class '{class_name}' from module '{module_name}'"
)
class FeastExtrasDependencyImportError(FeastError):
def __init__(self, extras_type: str, nested_error: str):
message = (
nested_error
+ "\n"
+ f"You may need run {Style.BRIGHT + Fore.GREEN}pip install 'feast[{extras_type}]'{Style.RESET_ALL}"
)
super().__init__(message)
class FeastOfflineStoreUnsupportedDataSource(FeastError):
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}'"
)
class FeatureNameCollisionError(FeastError):
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}"
)
class SpecifiedFeaturesNotPresentError(FeastError):
def __init__(
self,
specified_features: List[Field],
inferred_features: List[Field],
feature_view_name: str,
):
super().__init__(
f"Explicitly specified features {specified_features} not found in inferred list of features "
f"{inferred_features} for '{feature_view_name}'"
)
class SavedDatasetLocationAlreadyExists(FeastError):
def __init__(self, location: str):
super().__init__(f"Saved dataset location {location} already exists.")
class FeastOfflineStoreInvalidName(FeastError):
def __init__(self, offline_store_class_name: str):
super().__init__(
f"Offline Store Class '{offline_store_class_name}' should end with the string `OfflineStore`.'"
)
class FeastOnlineStoreInvalidName(FeastError):
def __init__(self, online_store_class_name: str):
super().__init__(
f"Online Store Class '{online_store_class_name}' should end with the string `OnlineStore`.'"
)
class FeastInvalidAuthConfigClass(FeastError):
def __init__(self, auth_config_class_name: str):
super().__init__(
f"Auth Config Class '{auth_config_class_name}' should end with the string `AuthConfig`.'"
)
class FeastInvalidBaseClass(FeastError):
def __init__(self, class_name: str, class_type: str):
super().__init__(
f"Class '{class_name}' should have `{class_type}` as a base class."
)
class FeastOnlineStoreUnsupportedDataSource(FeastError):
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}'"
)
class FeastEntityDFMissingColumnsError(FeastError):
def __init__(self, expected, missing):
super().__init__(
f"The entity dataframe you have provided must contain columns {expected}, "
f"but {missing} were missing."
)
class FeastJoinKeysDuringMaterialization(FeastError):
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} "
)
class DockerDaemonNotRunning(FeastError):
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."
)
class RegistryInferenceFailure(FeastError):
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."
)
class BigQueryJobStillRunning(FeastError):
def __init__(self, job_id):
super().__init__(f"The BigQuery job with ID '{job_id}' is still running.")
class BigQueryJobCancelled(FeastError):
def __init__(self, job_id):
super().__init__(f"The BigQuery job with ID '{job_id}' was cancelled")
class RedshiftCredentialsError(FeastError):
def __init__(self):
super().__init__("Redshift API failed due to incorrect credentials")
class RedshiftQueryError(FeastError):
def __init__(self, details):
super().__init__(f"Redshift SQL Query failed to finish. Details: {details}")
class RedshiftTableNameTooLong(FeastError):
def __init__(self, table_name: str):
super().__init__(
f"Redshift table names have a maximum length of 127 characters, but the table name {table_name} has length {len(table_name)} characters."
)
class SnowflakeCredentialsError(FeastError):
def __init__(self):
super().__init__("Snowflake Connector failed due to incorrect credentials")
class SnowflakeQueryError(FeastError):
def __init__(self, details):
super().__init__(f"Snowflake SQL Query failed to finish. Details: {details}")
class EntityTimestampInferenceException(FeastError):
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."
)
class FeatureViewMissingDuringFeatureServiceInference(FeastError):
def __init__(self, feature_view_name: str, feature_service_name: str):
super().__init__(
f"Missing {feature_view_name} feature view during inference for {feature_service_name} feature service."
)
class InvalidEntityType(FeastError):
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} "
)
class ConflictingFeatureViewNames(FeastError):
# 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."
)
class FeastInvalidInfraObjectType(FeastError):
def __init__(self):
super().__init__("Could not identify the type of the InfraObject.")
class SnowflakeIncompleteConfig(FeastError):
def __init__(self, e: KeyError):
super().__init__(f"{e} not defined in a config file or feature_store.yaml file")
class SnowflakeQueryUnknownError(FeastError):
def __init__(self, query: str):
super().__init__(f"Snowflake query failed: {query}")
class InvalidFeaturesParameterType(FeastError):
def __init__(self, features: Any):
super().__init__(
f"Invalid `features` parameter type {type(features)}. Expected one of List[str] and FeatureService."
)
class EntitySQLEmptyResults(FeastError):
def __init__(self, entity_sql: str):
super().__init__(
f"No entity values found from the specified SQL query to generate the entity dataframe: {entity_sql}."
)
class EntityDFNotDateTime(FeastError):
def __init__(self):
super().__init__(
"The entity dataframe specified does not have the timestamp field as a datetime."
)
class PushSourceNotFoundException(FeastError):
def __init__(self, push_source_name: str):
super().__init__(f"Unable to find push source '{push_source_name}'.")
def http_status_code(self) -> int:
return HttpStatusCode.HTTP_422_UNPROCESSABLE_ENTITY
class ReadOnlyRegistryException(FeastError):
def __init__(self):
super().__init__("Registry implementation is read-only.")
class DataFrameSerializationError(FeastError):
def __init__(self, input: Any):
if isinstance(input, dict):
super().__init__(
f"Failed to serialize the provided dictionary into a pandas DataFrame: {input.keys()}"
)
else:
super().__init__(
"Failed to serialize the provided input into a pandas DataFrame"
)
class PermissionNotFoundException(FeastError):
def __init__(self, name, project):
super().__init__(f"Permission {name} does not exist in project {project}")
class PermissionObjectNotFoundException(FeastObjectNotFoundException):
def __init__(self, name, project=None):
if project:
super().__init__(f"Permission {name} does not exist in project {project}")
else:
super().__init__(f"Permission {name} does not exist")
class ProjectNotFoundException(FeastError):
def __init__(self, project):
super().__init__(f"Project {project} does not exist in registry")
class ProjectObjectNotFoundException(FeastObjectNotFoundException):
def __init__(self, name, project=None):
super().__init__(f"Project {name} does not exist")
class ZeroRowsQueryResult(FeastError):
def __init__(self, query: str):
super().__init__(f"This query returned zero rows:\n{query}")
class ZeroColumnQueryResult(FeastError):
def __init__(self, query: str):
super().__init__(f"This query returned zero columns:\n{query}")
class FeastPermissionError(FeastError, PermissionError):
def __init__(self, details: str):
super().__init__(f"Permission error:\n{details}")
def grpc_status_code(self) -> "GrpcStatusCode":
from grpc import StatusCode as GrpcStatusCode
return GrpcStatusCode.PERMISSION_DENIED
def http_status_code(self) -> int:
return HttpStatusCode.HTTP_403_FORBIDDEN