airflow_client/client/models/task_instances_inner.py

# coding: utf-8

"""
    Airflow API

    Airflow API. All endpoints located under ``/api/v2`` can be used safely, are stable and backward compatible. Endpoints located under ``/ui`` are dedicated to the UI and are subject to breaking change depending on the need of the frontend. Users should not rely on those but use the public ones instead.  **Filtering with pattern parameters.** Many list endpoints accept ``*_pattern`` and ``*_prefix_pattern`` query parameters. Unless a parameter's own description says otherwise, ``*_pattern`` is a case-insensitive substring match (SQL ``ILIKE '%term%'``) where ``%`` matches any sequence and ``_`` matches any single character (e.g. ``%customer_%``) — convenient, but it cannot use B-tree indexes, so it is slow on large tables. ``*_prefix_pattern`` matches the start of the value, is case-sensitive and index-friendly (prefer it at scale); there ``%`` and ``_`` are literal and trailing non-alphanumeric characters are stripped so the range scan stays index-compatible under locale-aware collations (e.g. ``test_`` matches values starting with ``test``, and ``s3://`` matches ``s3``). In both, ``|`` means OR (e.g. ``dag1|dag2``) and ``~`` matches everything. Regular expressions are not supported by these parameters; regex-capable endpoints expose a separate parameter.

    The version of the OpenAPI document: 2
    Generated by OpenAPI Generator (https://openapi-generator.tech)

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


from __future__ import annotations
import json
import pprint
from pydantic import BaseModel, ConfigDict, Field, StrictStr, ValidationError, field_validator
from typing import Any, List, Optional
from airflow_client.client.models.new_task_response import NewTaskResponse
from airflow_client.client.models.task_instance_response import TaskInstanceResponse
from pydantic import StrictStr, Field
from typing import Union, List, Set, Optional, Dict
from typing_extensions import Literal, Self

TASKINSTANCESINNER_ONE_OF_SCHEMAS = ["NewTaskResponse", "TaskInstanceResponse"]

class TaskInstancesInner(BaseModel):
    """
    TaskInstancesInner
    """
    # data type: TaskInstanceResponse
    oneof_schema_1_validator: Optional[TaskInstanceResponse] = None
    # data type: NewTaskResponse
    oneof_schema_2_validator: Optional[NewTaskResponse] = None
    actual_instance: Optional[Union[NewTaskResponse, TaskInstanceResponse]] = None
    one_of_schemas: Set[str] = { "NewTaskResponse", "TaskInstanceResponse" }

    model_config = ConfigDict(
        validate_assignment=True,
        protected_namespaces=(),
    )


    def __init__(self, *args, **kwargs) -> None:
        if args:
            if len(args) > 1:
                raise ValueError("If a position argument is used, only 1 is allowed to set `actual_instance`")
            if kwargs:
                raise ValueError("If a position argument is used, keyword arguments cannot be used.")
            super().__init__(actual_instance=args[0])
        else:
            super().__init__(**kwargs)

    @field_validator('actual_instance')
    def actual_instance_must_validate_oneof(cls, v):
        instance = TaskInstancesInner.model_construct()
        error_messages = []
        match = 0
        # validate data type: TaskInstanceResponse
        if not isinstance(v, TaskInstanceResponse):
            error_messages.append(f"Error! Input type `{type(v)}` is not `TaskInstanceResponse`")
        else:
            match += 1
        # validate data type: NewTaskResponse
        if not isinstance(v, NewTaskResponse):
            error_messages.append(f"Error! Input type `{type(v)}` is not `NewTaskResponse`")
        else:
            match += 1
        if match > 1:
            # more than 1 match
            raise ValueError("Multiple matches found when setting `actual_instance` in TaskInstancesInner with oneOf schemas: NewTaskResponse, TaskInstanceResponse. Details: " + ", ".join(error_messages))
        elif match == 0:
            # no match
            raise ValueError("No match found when setting `actual_instance` in TaskInstancesInner with oneOf schemas: NewTaskResponse, TaskInstanceResponse. Details: " + ", ".join(error_messages))
        else:
            return v

    @classmethod
    def from_dict(cls, obj: Union[str, Dict[str, Any]]) -> Self:
        return cls.from_json(json.dumps(obj))

    @classmethod
    def from_json(cls, json_str: str) -> Self:
        """Returns the object represented by the json string"""
        instance = cls.model_construct()
        error_messages = []
        match = 0

        # deserialize data into TaskInstanceResponse
        try:
            instance.actual_instance = TaskInstanceResponse.from_json(json_str)
            match += 1
        except (ValidationError, ValueError) as e:
            error_messages.append(str(e))
        # deserialize data into NewTaskResponse
        try:
            instance.actual_instance = NewTaskResponse.from_json(json_str)
            match += 1
        except (ValidationError, ValueError) as e:
            error_messages.append(str(e))

        if match > 1:
            # more than 1 match
            raise ValueError("Multiple matches found when deserializing the JSON string into TaskInstancesInner with oneOf schemas: NewTaskResponse, TaskInstanceResponse. Details: " + ", ".join(error_messages))
        elif match == 0:
            # no match
            raise ValueError("No match found when deserializing the JSON string into TaskInstancesInner with oneOf schemas: NewTaskResponse, TaskInstanceResponse. Details: " + ", ".join(error_messages))
        else:
            return instance

    def to_json(self) -> str:
        """Returns the JSON representation of the actual instance"""
        if self.actual_instance is None:
            return "null"

        if hasattr(self.actual_instance, "to_json") and callable(self.actual_instance.to_json):
            return self.actual_instance.to_json()
        else:
            return json.dumps(self.actual_instance)

    def to_dict(self) -> Optional[Union[Dict[str, Any], NewTaskResponse, TaskInstanceResponse]]:
        """Returns the dict representation of the actual instance"""
        if self.actual_instance is None:
            return None

        if hasattr(self.actual_instance, "to_dict") and callable(self.actual_instance.to_dict):
            return self.actual_instance.to_dict()
        else:
            # primitive type
            return self.actual_instance

    def to_str(self) -> str:
        """Returns the string representation of the actual instance"""
        return pprint.pformat(self.model_dump())