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logs_instance.py
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170 lines (145 loc) · 6.24 KB
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# coding: utf-8
"""
STACKIT Logs API
This API provides endpoints for managing STACKIT Logs.
The version of the OpenAPI document: 1.0.0
Generated by OpenAPI Generator (https://openapi-generator.tech)
Do not edit the class manually.
""" # noqa: E501
from __future__ import annotations
import json
import pprint
import re # noqa: F401
from datetime import datetime
from typing import Any, ClassVar, Dict, List, Optional, Set
from uuid import UUID
from pydantic import BaseModel, ConfigDict, Field, StrictStr, field_validator
from pydantic_core import to_jsonable_python
from typing_extensions import Annotated, Self
class LogsInstance(BaseModel):
"""
LogsInstance
""" # noqa: E501
acl: Optional[List[StrictStr]] = Field(default=None, description="The access control list for the Logs instance.")
created: datetime = Field(description="The date and time the creation of the Logs instance was triggered.")
datasource_url: Optional[StrictStr] = Field(
default=None,
description="The Logs instance's datasource URL, can be used in Grafana as a datasource URL",
alias="datasourceUrl",
)
description: Optional[Annotated[str, Field(strict=True, max_length=100)]] = Field(
default=None, description="The description of the Logs instance."
)
display_name: Annotated[str, Field(min_length=1, strict=True, max_length=32)] = Field(
description="The displayed name of the Logs instance.", alias="displayName"
)
id: UUID = Field(description="A auto generated unique id which identifies the Logs instance.")
ingest_otlp_url: Optional[StrictStr] = Field(
default=None, description="The Logs instance's ingest logs via OTLP URL", alias="ingestOtlpUrl"
)
ingest_url: Optional[StrictStr] = Field(
default=None, description="The Logs instance's ingest logs URL", alias="ingestUrl"
)
query_range_url: Optional[StrictStr] = Field(
default=None, description="The Logs instance's query range URL", alias="queryRangeUrl"
)
query_url: Optional[StrictStr] = Field(default=None, description="The Logs instance's query URL", alias="queryUrl")
retention_days: Annotated[int, Field(le=180, strict=True, ge=1)] = Field(
description="The log retention time in days.", alias="retentionDays"
)
status: StrictStr = Field(description="The current status of the Logs instance.")
__properties: ClassVar[List[str]] = [
"acl",
"created",
"datasourceUrl",
"description",
"displayName",
"id",
"ingestOtlpUrl",
"ingestUrl",
"queryRangeUrl",
"queryUrl",
"retentionDays",
"status",
]
@field_validator("created", mode="before")
def created_change_year_zero_to_one(cls, value):
"""Workaround which prevents year 0 issue"""
if isinstance(value, str):
# Check for year "0000" at the beginning of the string
# This assumes common date formats like YYYY-MM-DDTHH:MM:SS+00:00 or YYYY-MM-DDTHH:MM:SSZ
if value.startswith("0000-01-01T") and re.match(
r"^\d{4}-\d{2}-\d{2}T\d{2}:\d{2}:\d{2}(\+\d{2}:\d{2}|Z)$", value
):
# Workaround: Replace "0000" with "0001"
return "0001" + value[4:] # Take "0001" and append the rest of the string
return value
@field_validator("display_name")
def display_name_validate_regular_expression(cls, value):
"""Validates the regular expression"""
if not isinstance(value, str):
value = str(value)
if not re.match(r"^[a-zA-Z][\w -]*$", value):
raise ValueError(r"must validate the regular expression /^[a-zA-Z][\w -]*$/")
return value
@field_validator("status")
def status_validate_enum(cls, value):
"""Validates the enum"""
if value not in set(["active", "deleting", "reconciling"]):
raise ValueError("must be one of enum values ('active', 'deleting', 'reconciling')")
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 LogsInstance 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.
"""
excluded_fields: Set[str] = set([])
_dict = self.model_dump(
by_alias=True,
exclude=excluded_fields,
exclude_none=True,
)
return _dict
@classmethod
def from_dict(cls, obj: Optional[Dict[str, Any]]) -> Optional[Self]:
"""Create an instance of LogsInstance from a dict"""
if obj is None:
return None
if not isinstance(obj, dict):
return cls.model_validate(obj)
_obj = cls.model_validate(
{
"acl": obj.get("acl"),
"created": obj.get("created"),
"datasourceUrl": obj.get("datasourceUrl"),
"description": obj.get("description"),
"displayName": obj.get("displayName"),
"id": obj.get("id"),
"ingestOtlpUrl": obj.get("ingestOtlpUrl"),
"ingestUrl": obj.get("ingestUrl"),
"queryRangeUrl": obj.get("queryRangeUrl"),
"queryUrl": obj.get("queryUrl"),
"retentionDays": obj.get("retentionDays"),
"status": obj.get("status"),
}
)
return _obj