Source code for openapi_client.models.runs_response_jobruns_inner_metrics

# coding: utf-8

"""
    Amorphic Data Platform

    Amorphic Data Platform - API Definition documentation

    The version of the OpenAPI document: 0.3.0
    Generated by OpenAPI Generator (https://openapi-generator.tech)

    Do not edit the class manually.
"""  # noqa: E501


from __future__ import annotations
import pprint
import re  # noqa: F401
import json

from pydantic import BaseModel, ConfigDict, Field, StrictInt
from typing import Any, ClassVar, Dict, List, Optional
from typing import Optional, Set
from typing_extensions import Self

[docs] class RunsResponseJobrunsInnerMetrics(BaseModel): """ RunsResponseJobrunsInnerMetrics """ # noqa: E501 files_failed: Optional[StrictInt] = Field(default=None, description="Number of files failed to index.", alias="FilesFailed") modified_files_indexed: Optional[StrictInt] = Field(default=None, description="Number of files modified and indexed.", alias="ModifiedFilesIndexed") sources_attached: Optional[StrictInt] = Field(default=None, description="Number of sources attached to the knowledge base.", alias="SourcesAttached") files_deleted: Optional[StrictInt] = Field(default=None, description="Number of files deleted.", alias="FilesDeleted") metadata_files_modified: Optional[StrictInt] = Field(default=None, description="Number of metadata files modified.", alias="MetadataFilesModified") new_files_indexed: Optional[StrictInt] = Field(default=None, description="Number of new files indexed.", alias="NewFilesIndexed") files_scanned: Optional[StrictInt] = Field(default=None, description="Number of files scanned.", alias="FilesScanned") metadata_files_scanned: Optional[StrictInt] = Field(default=None, description="Number of metadata files scanned.", alias="MetadataFilesScanned") __properties: ClassVar[List[str]] = ["FilesFailed", "ModifiedFilesIndexed", "SourcesAttached", "FilesDeleted", "MetadataFilesModified", "NewFilesIndexed", "FilesScanned", "MetadataFilesScanned"] model_config = ConfigDict( populate_by_name=True, validate_assignment=True, protected_namespaces=(), )
[docs] def to_str(self) -> str: """Returns the string representation of the model using alias""" return pprint.pformat(self.model_dump(by_alias=True))
[docs] def to_json(self) -> str: """Returns the JSON representation of the model using alias""" # TODO: pydantic v2: use .model_dump_json(by_alias=True, exclude_unset=True) instead return json.dumps(self.to_dict())
[docs] @classmethod def from_json(cls, json_str: str) -> Optional[Self]: """Create an instance of RunsResponseJobrunsInnerMetrics from a JSON string""" return cls.from_dict(json.loads(json_str))
[docs] def to_dict(self) -> Dict[str, Any]: """Return the dictionary representation of the model using alias. This has the following differences from calling pydantic's `self.model_dump(by_alias=True)`: * `None` is only added to the output dict for nullable fields that were set at model initialization. Other fields with value `None` are ignored. """ excluded_fields: Set[str] = set([ ]) _dict = self.model_dump( by_alias=True, exclude=excluded_fields, exclude_none=True, ) return _dict
[docs] @classmethod def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]: """Create an instance of RunsResponseJobrunsInnerMetrics from a dict""" if obj is None: return None if not isinstance(obj, dict): return cls.model_validate(obj) _obj = cls.model_validate({ "FilesFailed": obj.get("FilesFailed"), "ModifiedFilesIndexed": obj.get("ModifiedFilesIndexed"), "SourcesAttached": obj.get("SourcesAttached"), "FilesDeleted": obj.get("FilesDeleted"), "MetadataFilesModified": obj.get("MetadataFilesModified"), "NewFilesIndexed": obj.get("NewFilesIndexed"), "FilesScanned": obj.get("FilesScanned"), "MetadataFilesScanned": obj.get("MetadataFilesScanned") }) return _obj