blob: a8a6de741a1e075aa5fd85a92763c9987e1f053f [file]
# 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 pydantic import BaseModel, ConfigDict, StrictBool, StrictStr, field_validator
from typing import Any, ClassVar, Dict, List, Optional
from typing import Optional, Set
from typing_extensions import Self
from pydantic_core import to_jsonable_python
class ReactAppResponse(BaseModel):
"""
Serializer for React App Plugin responses.
""" # noqa: E501
bundle_url: StrictStr
category: Optional[StrictStr] = None
destination: Optional[StrictStr] = 'nav'
icon: Optional[StrictStr] = None
icon_dark_mode: Optional[StrictStr] = None
name: StrictStr
nav_top_level: Optional[StrictBool] = None
url_route: Optional[StrictStr] = None
additional_properties: Dict[str, Any] = {}
__properties: ClassVar[List[str]] = ["bundle_url", "category", "destination", "icon", "icon_dark_mode", "name", "nav_top_level", "url_route"]
@field_validator('destination')
def destination_validate_enum(cls, value):
"""Validates the enum"""
if value is None:
return value
if value not in set(['nav', 'dag', 'dag_run', 'task', 'task_instance', 'base', 'dashboard']):
raise ValueError("must be one of enum values ('nav', 'dag', 'dag_run', 'task', 'task_instance', 'base', 'dashboard')")
return value
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 ReactAppResponse 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.
* Fields in `self.additional_properties` are added to the output dict.
"""
excluded_fields: Set[str] = set([
"additional_properties",
])
_dict = self.model_dump(
by_alias=True,
exclude=excluded_fields,
exclude_none=True,
)
# puts key-value pairs in additional_properties in the top level
if self.additional_properties is not None:
for _key, _value in self.additional_properties.items():
_dict[_key] = _value
return _dict
@classmethod
def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
"""Create an instance of ReactAppResponse from a dict"""
if obj is None:
return None
if not isinstance(obj, dict):
return cls.model_validate(obj)
_obj = cls.model_validate({
"bundle_url": obj.get("bundle_url"),
"category": obj.get("category"),
"destination": obj.get("destination") if obj.get("destination") is not None else 'nav',
"icon": obj.get("icon"),
"icon_dark_mode": obj.get("icon_dark_mode"),
"name": obj.get("name"),
"nav_top_level": obj.get("nav_top_level"),
"url_route": obj.get("url_route")
})
# store additional fields in additional_properties
for _key in obj.keys():
if _key not in cls.__properties:
_obj.additional_properties[_key] = obj.get(_key)
return _obj