# 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 pprint
import re  # noqa: F401
import json

from datetime import datetime
from pydantic import BaseModel, ConfigDict, Field, StrictBool, StrictFloat, StrictInt, StrictStr
from typing import Any, ClassVar, Dict, List, Optional, Union
from airflow_client.client.models.time_delta import TimeDelta
from typing import Optional, Set
from typing_extensions import Self
from pydantic_core import to_jsonable_python

class TaskResponse(BaseModel):
    """
    Task serializer for responses.
    """ # noqa: E501
    class_ref: Optional[Dict[str, Any]] = None
    depends_on_past: StrictBool
    doc_md: Optional[StrictStr] = None
    downstream_task_ids: Optional[List[StrictStr]] = None
    end_date: Optional[datetime] = None
    execution_timeout: Optional[TimeDelta] = None
    extra_links: List[StrictStr] = Field(description="Extract and return extra_links.")
    is_mapped: Optional[StrictBool] = None
    operator_name: Optional[StrictStr] = None
    owner: Optional[StrictStr] = None
    params: Optional[Dict[str, Any]] = None
    pool: Optional[StrictStr] = None
    pool_slots: Optional[Union[StrictFloat, StrictInt]] = None
    priority_weight: Optional[Union[StrictFloat, StrictInt]] = None
    queue: Optional[StrictStr] = None
    retries: Optional[Union[StrictFloat, StrictInt]] = None
    retry_delay: Optional[TimeDelta] = None
    retry_exponential_backoff: Union[StrictFloat, StrictInt]
    start_date: Optional[datetime] = None
    task_display_name: Optional[StrictStr] = None
    task_id: Optional[StrictStr] = None
    template_fields: Optional[List[StrictStr]] = None
    trigger_rule: Optional[StrictStr] = None
    ui_color: Optional[StrictStr] = None
    ui_fgcolor: Optional[StrictStr] = None
    wait_for_downstream: StrictBool
    weight_rule: Optional[StrictStr] = None
    __properties: ClassVar[List[str]] = ["class_ref", "depends_on_past", "doc_md", "downstream_task_ids", "end_date", "execution_timeout", "extra_links", "is_mapped", "operator_name", "owner", "params", "pool", "pool_slots", "priority_weight", "queue", "retries", "retry_delay", "retry_exponential_backoff", "start_date", "task_display_name", "task_id", "template_fields", "trigger_rule", "ui_color", "ui_fgcolor", "wait_for_downstream", "weight_rule"]

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


    def to_str(self) -> str:
        """Returns the string representation of the model using alias"""
        return pprint.pformat(self.model_dump(by_alias=True))

    def to_json(self) -> str:
        """Returns the JSON representation of the model using alias"""
        return json.dumps(to_jsonable_python(self.to_dict()))

    @classmethod
    def from_json(cls, json_str: str) -> Optional[Self]:
        """Create an instance of TaskResponse from a JSON string"""
        return cls.from_dict(json.loads(json_str))

    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.
        * OpenAPI `readOnly` fields are excluded.
        """
        excluded_fields: Set[str] = set([
            "extra_links",
        ])

        _dict = self.model_dump(
            by_alias=True,
            exclude=excluded_fields,
            exclude_none=True,
        )
        # override the default output from pydantic by calling `to_dict()` of execution_timeout
        if self.execution_timeout:
            _dict['execution_timeout'] = self.execution_timeout.to_dict()
        # override the default output from pydantic by calling `to_dict()` of retry_delay
        if self.retry_delay:
            _dict['retry_delay'] = self.retry_delay.to_dict()
        return _dict

    @classmethod
    def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
        """Create an instance of TaskResponse from a dict"""
        if obj is None:
            return None

        if not isinstance(obj, dict):
            return cls.model_validate(obj)

        _obj = cls.model_validate({
            "class_ref": obj.get("class_ref"),
            "depends_on_past": obj.get("depends_on_past"),
            "doc_md": obj.get("doc_md"),
            "downstream_task_ids": obj.get("downstream_task_ids"),
            "end_date": obj.get("end_date"),
            "execution_timeout": TimeDelta.from_dict(obj["execution_timeout"]) if obj.get("execution_timeout") is not None else None,
            "extra_links": obj.get("extra_links"),
            "is_mapped": obj.get("is_mapped"),
            "operator_name": obj.get("operator_name"),
            "owner": obj.get("owner"),
            "params": obj.get("params"),
            "pool": obj.get("pool"),
            "pool_slots": obj.get("pool_slots"),
            "priority_weight": obj.get("priority_weight"),
            "queue": obj.get("queue"),
            "retries": obj.get("retries"),
            "retry_delay": TimeDelta.from_dict(obj["retry_delay"]) if obj.get("retry_delay") is not None else None,
            "retry_exponential_backoff": obj.get("retry_exponential_backoff"),
            "start_date": obj.get("start_date"),
            "task_display_name": obj.get("task_display_name"),
            "task_id": obj.get("task_id"),
            "template_fields": obj.get("template_fields"),
            "trigger_rule": obj.get("trigger_rule"),
            "ui_color": obj.get("ui_color"),
            "ui_fgcolor": obj.get("ui_fgcolor"),
            "wait_for_downstream": obj.get("wait_for_downstream"),
            "weight_rule": obj.get("weight_rule")
        })
        return _obj


