feat: add TicketInterface; add CRUD connector JIRA

This commit is contained in:
Christopher Gondek 2025-09-03 12:19:07 +02:00
parent 8726cd4fb8
commit bacf2a9686
3 changed files with 276 additions and 0 deletions

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"""Jira connector for CRUD operations."""
from dataclasses import dataclass
import logging
import aiohttp
import json
from typing import Optional
from modules.interfaces.interfaceTicketModel import (
TicketBase,
TicketFieldAttribute,
Task,
)
logger = logging.getLogger(__name__)
@dataclass
class ConnectorTicketJira(TicketBase):
jira_username: str
jira_api_token: str
jira_url: str
project_code: str
issue_type: str
@classmethod
async def create(
cls,
*,
jira_username: str,
jira_api_token: str,
jira_url: str,
project_code: str,
issue_type: str,
):
return ConnectorTicketJira(
jira_username=jira_username,
jira_api_token=jira_api_token,
jira_url=jira_url,
project_code=project_code,
issue_type=issue_type,
)
async def read_attributes(self) -> list[TicketFieldAttribute]:
"""
Read field attributes from Jira by querying for a single issue
and extracting the field mappings.
Returns:
list[TicketFieldAttribute]: List of field attributes with names and IDs
"""
jql_query = f"project={self.project_code} AND issuetype={self.issue_type}"
# Prepare the request URL and parameters
url = f"{self.jira_url}/rest/api/2/search"
params = {"jql": jql_query, "maxResults": 1, "expand": "names"}
# Prepare authentication
auth = aiohttp.BasicAuth(self.jira_username, self.jira_api_token)
try:
async with aiohttp.ClientSession() as session:
async with session.get(url, params=params, auth=auth) as response:
if response.status != 200:
error_text = await response.text()
logger.error(
f"Jira API request failed with status {response.status}: {error_text}"
)
raise Exception(
f"Jira API request failed with status {response.status}"
)
data = await response.json()
# Extract issues and field names
issues = data.get("issues", [])
field_names = data.get("names", {})
if not issues:
logger.warning(f"No issues found for query: {jql_query}")
return []
# Extract field attributes from the first issue
attributes = []
issue = issues[0]
fields = issue.get("fields", {})
for field_id, value in fields.items():
field_name = field_names.get(field_id, field_id)
attributes.append(
TicketFieldAttribute(field_name=field_name, field=field_id)
)
logger.info(
f"Successfully retrieved {len(attributes)} field attributes from Jira"
)
return attributes
except aiohttp.ClientError as e:
logger.error(f"HTTP client error while fetching Jira attributes: {str(e)}")
raise Exception(f"Failed to connect to Jira: {str(e)}")
except json.JSONDecodeError as e:
logger.error(f"Failed to parse Jira API response: {str(e)}")
raise Exception(f"Invalid response from Jira API: {str(e)}")
except Exception as e:
logger.error(f"Unexpected error while fetching Jira attributes: {str(e)}")
raise
async def read_tasks(self, *, limit: int = 0) -> list[Task]:
"""
Read tasks from Jira with pagination support.
Args:
limit: Maximum number of tasks to retrieve. 0 means no limit.
Returns:
list[Task]: List of tasks with their data
"""
jql_query = f"project={self.project_code} AND issuetype={self.issue_type}"
# Initialize variables for pagination
start_at = 0
max_results = 50
total = 1 # Initialize with a value greater than 0 to enter the loop
tasks = []
# Prepare authentication
auth = aiohttp.BasicAuth(self.jira_username, self.jira_api_token)
url = f"{self.jira_url}/rest/api/2/search"
try:
async with aiohttp.ClientSession() as session:
while start_at < total and (limit == 0 or len(tasks) < limit):
# Prepare request parameters
params = {
"jql": jql_query,
"startAt": start_at,
"maxResults": max_results,
}
headers = {"Content-Type": "application/json"}
async with session.get(
url, params=params, auth=auth, headers=headers
) as response:
if response.status != 200:
error_text = await response.text()
logger.error(
f"Failed to fetch tasks from Jira. Status code: {response.status}, Response: {error_text}"
)
break
data = await response.json()
issues = data.get("issues", [])
total = data.get("total", 0)
for issue in issues:
# Create task with all issue data
task_data = {
"id": issue.get("id"),
"key": issue.get("key"),
"fields": issue.get("fields", {}),
"self": issue.get("self"),
"expand": issue.get("expand", ""),
}
task = Task(data=task_data)
tasks.append(task)
# Check limit
if limit > 0 and len(tasks) >= limit:
break
start_at += max_results
logger.debug(f"Issues packages reading: {len(tasks)}")
logger.info(f"JIRA issues read: {len(tasks)}")
return tasks
except aiohttp.ClientError as e:
logger.error(f"HTTP client error while fetching Jira tasks: {str(e)}")
raise Exception(f"Failed to connect to Jira: {str(e)}")
except json.JSONDecodeError as e:
logger.error(f"Failed to parse Jira API response: {str(e)}")
raise Exception(f"Invalid response from Jira API: {str(e)}")
except Exception as e:
logger.error(f"Unexpected error while fetching Jira tasks: {str(e)}")
raise
async def write_tasks(self, tasklist: list[Task]) -> None:
"""
Write/update tasks to Jira.
Args:
tasklist: List of Task objects containing task data to update
"""
headers = {"Accept": "application/json", "Content-Type": "application/json"}
auth = aiohttp.BasicAuth(self.jira_username, self.jira_api_token)
try:
async with aiohttp.ClientSession() as session:
for task in tasklist:
task_data = task.data
task_id = task_data.get("id") or task_data.get("key")
if not task_id:
logger.warning("Task missing ID or key, skipping update")
continue
# Extract fields to update from task data
fields = task_data.get("fields", {})
if not fields:
logger.debug(f"No fields to update for task {task_id}")
continue
# Prepare update data
update_data = {"fields": fields}
# Make the update request
url = f"{self.jira_url}/rest/api/2/issue/{task_id}"
async with session.put(
url, json=update_data, headers=headers, auth=auth
) as response:
if response.status == 204:
logger.info(f"JIRA task {task_id} updated successfully.")
else:
error_text = await response.text()
logger.error(
f"JIRA failed to update task {task_id}: {response.status} - {error_text}"
)
except aiohttp.ClientError as e:
logger.error(f"HTTP client error while updating Jira tasks: {str(e)}")
raise Exception(f"Failed to connect to Jira: {str(e)}")
except Exception as e:
logger.error(f"Unexpected error while updating Jira tasks: {str(e)}")
raise

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"""Base class for ticket classes."""
from typing import Any, Dict
from pydantic import BaseModel, Field
from abc import ABC, abstractmethod
class TicketFieldAttribute(BaseModel):
field_name: str = Field(description="Human-readable field name")
field: str = Field(description="JIRA field ID/key")
class Task(BaseModel):
# A very flexible approach for now. Might want to be more strict in the future.
data: Dict[str, Any] = Field(default_factory=dict, description="Task data")
class TicketBase(ABC):
@abstractmethod
async def read_attributes(self) -> list[TicketFieldAttribute]: ...
@abstractmethod
async def read_tasks(self) -> list[Task]: ...
@abstractmethod
async def write_tasks(self, tasklist: list[Task]) -> None: ...

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from dataclasses import dataclass
SUPPORTED_SYSTEMS = ["jira"]
@dataclass(slots=True)
class TicketInterface:
# TODO: user must create instance of Ticket connector
ticketConnector = None