# coding: utf-8
"""
InfluxDB OSS API Service.
The InfluxDB v2 API provides a programmatic interface for all interactions with InfluxDB. Access the InfluxDB API using the `/api/v2/` endpoint. # noqa: E501
OpenAPI spec version: 2.0.0
Generated by: https://openapi-generator.tech
"""
import pprint
import re # noqa: F401
from influxdb_client.domain.telegram_notification_rule_base import TelegramNotificationRuleBase
class TelegramNotificationRule(TelegramNotificationRuleBase):
"""NOTE: This class is auto generated by OpenAPI Generator.
Ref: https://openapi-generator.tech
Do not edit the class manually.
"""
"""
Attributes:
openapi_types (dict): The key is attribute name
and the value is attribute type.
attribute_map (dict): The key is attribute name
and the value is json key in definition.
"""
openapi_types = {
'type': 'str',
'message_template': 'str',
'parse_mode': 'str',
'disable_web_page_preview': 'bool',
'latest_completed': 'datetime',
'last_run_status': 'str',
'last_run_error': 'str',
'id': 'str',
'endpoint_id': 'str',
'org_id': 'str',
'task_id': 'str',
'owner_id': 'str',
'created_at': 'datetime',
'updated_at': 'datetime',
'status': 'TaskStatusType',
'name': 'str',
'sleep_until': 'str',
'every': 'str',
'offset': 'str',
'runbook_link': 'str',
'limit_every': 'int',
'limit': 'int',
'tag_rules': 'list[TagRule]',
'description': 'str',
'status_rules': 'list[StatusRule]',
'labels': 'list[Label]',
'links': 'NotificationRuleBaseLinks'
}
attribute_map = {
'type': 'type',
'message_template': 'messageTemplate',
'parse_mode': 'parseMode',
'disable_web_page_preview': 'disableWebPagePreview',
'latest_completed': 'latestCompleted',
'last_run_status': 'lastRunStatus',
'last_run_error': 'lastRunError',
'id': 'id',
'endpoint_id': 'endpointID',
'org_id': 'orgID',
'task_id': 'taskID',
'owner_id': 'ownerID',
'created_at': 'createdAt',
'updated_at': 'updatedAt',
'status': 'status',
'name': 'name',
'sleep_until': 'sleepUntil',
'every': 'every',
'offset': 'offset',
'runbook_link': 'runbookLink',
'limit_every': 'limitEvery',
'limit': 'limit',
'tag_rules': 'tagRules',
'description': 'description',
'status_rules': 'statusRules',
'labels': 'labels',
'links': 'links'
}
def __init__(self, type="telegram", message_template=None, parse_mode=None, disable_web_page_preview=None, latest_completed=None, last_run_status=None, last_run_error=None, id=None, endpoint_id=None, org_id=None, task_id=None, owner_id=None, created_at=None, updated_at=None, status=None, name=None, sleep_until=None, every=None, offset=None, runbook_link=None, limit_every=None, limit=None, tag_rules=None, description=None, status_rules=None, labels=None, links=None): # noqa: E501,D401,D403
"""TelegramNotificationRule - a model defined in OpenAPI.""" # noqa: E501
TelegramNotificationRuleBase.__init__(self, type=type, message_template=message_template, parse_mode=parse_mode, disable_web_page_preview=disable_web_page_preview, latest_completed=latest_completed, last_run_status=last_run_status, last_run_error=last_run_error, id=id, endpoint_id=endpoint_id, org_id=org_id, task_id=task_id, owner_id=owner_id, created_at=created_at, updated_at=updated_at, status=status, name=name, sleep_until=sleep_until, every=every, offset=offset, runbook_link=runbook_link, limit_every=limit_every, limit=limit, tag_rules=tag_rules, description=description, status_rules=status_rules, labels=labels, links=links) # noqa: E501
self.discriminator = None
def to_dict(self):
"""Return the model properties as a dict."""
result = {}
for attr, _ in self.openapi_types.items():
value = getattr(self, attr)
if isinstance(value, list):
result[attr] = list(map(
lambda x: x.to_dict() if hasattr(x, "to_dict") else x,
value
))
elif hasattr(value, "to_dict"):
result[attr] = value.to_dict()
elif isinstance(value, dict):
result[attr] = dict(map(
lambda item: (item[0], item[1].to_dict())
if hasattr(item[1], "to_dict") else item,
value.items()
))
else:
result[attr] = value
return result
def to_str(self):
"""Return the string representation of the model."""
return pprint.pformat(self.to_dict())
def __repr__(self):
"""For `print` and `pprint`."""
return self.to_str()
def __eq__(self, other):
"""Return true if both objects are equal."""
if not isinstance(other, TelegramNotificationRule):
return False
return self.__dict__ == other.__dict__
def __ne__(self, other):
"""Return true if both objects are not equal."""
return not self == other