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# to you under the Apache License, Version 2.0 (the
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#
# http://www.apache.org/licenses/LICENSE-2.0
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from __future__ import annotations
from typing import TYPE_CHECKING, Any, Callable, Sequence
from airflow.providers.atlassian.jira.hooks.jira import JiraHook
from airflow.sensors.base import BaseSensorOperator
if TYPE_CHECKING:
from airflow.utils.context import Context
[docs]class JiraSensor(BaseSensorOperator):
"""
Monitors a jira ticket for any change.
:param jira_conn_id: reference to a pre-defined Jira Connection
:param method_name: method name from atlassian-python-api JIRA sdk to execute
:param method_params: parameters for the method method_name
:param result_processor: function that return boolean and act as a sensor response
"""
def __init__(
self,
*,
method_name: str,
jira_conn_id: str = "jira_default",
method_params: dict | None = None,
result_processor: Callable | None = None,
**kwargs,
) -> None:
super().__init__(**kwargs)
self.jira_conn_id = jira_conn_id
self.result_processor = None
if result_processor is not None:
self.result_processor = result_processor
self.method_name = method_name
self.method_params = method_params
[docs] def poke(self, context: Context) -> Any:
hook = JiraHook(jira_conn_id=self.jira_conn_id)
resource = hook.get_conn()
jira_result = getattr(resource, self.method_name)(**self.method_params)
if self.result_processor is None:
return jira_result
return self.result_processor(jira_result)
[docs]class JiraTicketSensor(JiraSensor):
"""
Monitors a jira ticket for given change in terms of function.
:param jira_conn_id: reference to a pre-defined Jira Connection
:param ticket_id: id of the ticket to be monitored
:param field: field of the ticket to be monitored
:param expected_value: expected value of the field
:param result_processor: function that return boolean and act as a sensor response
"""
[docs] template_fields: Sequence[str] = ("ticket_id",)
def __init__(
self,
*,
jira_conn_id: str = "jira_default",
ticket_id: str | None = None,
field: str | None = None,
expected_value: str | None = None,
field_checker_func: Callable | None = None,
**kwargs,
) -> None:
self.jira_conn_id = jira_conn_id
self.ticket_id = ticket_id
self.field = field
self.expected_value = expected_value
if field_checker_func is None:
field_checker_func = self.issue_field_checker
super().__init__(
jira_conn_id=jira_conn_id, method_name="issue", result_processor=field_checker_func, **kwargs
)
[docs] def poke(self, context: Context) -> Any:
self.log.info("Jira Sensor checking for change in ticket: %s", self.ticket_id)
self.method_name = "issue"
self.method_params = {"key": self.ticket_id, "fields": self.field}
return JiraSensor.poke(self, context=context)
[docs] def issue_field_checker(self, jira_result: dict) -> bool | None:
"""Check issue using different conditions to prepare to evaluate sensor."""
result = None
if jira_result is not None and self.field is not None and self.expected_value is not None:
field_val = jira_result.get("fields", {}).get(self.field, None)
if field_val is not None:
if isinstance(field_val, list):
result = self.expected_value in field_val
elif isinstance(field_val, str):
result = self.expected_value.lower() == field_val.lower()
elif isinstance(field_val, dict) and field_val.get("name", None):
result = self.expected_value.lower() == field_val.get("name", "").lower()
else:
self.log.warning(
"Not implemented checker for issue field %s which "
"is neither string nor list nor Jira Resource",
self.field,
)
if result is True:
self.log.info(
"Issue field %s has expected value %s, returning success", self.field, self.expected_value
)
else:
self.log.info("Issue field %s don't have expected value %s yet.", self.field, self.expected_value)
return result
