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Weekly Jira Issue Count to Slack
This video demonstrates how to use the Weekly Jira Issue Count to Slack template.
import os
import pandas as pd
from jira import JIRA
from slack_sdk import WebClient
from slack_sdk.errors import SlackApiError
from tabulate import tabulate
import schedule
import time
# TODO: Obtain the Jira server URL, username, API token, and project name.
jira_server = os.environ['JIRA_SERVER']
jira_username = os.environ['JIRA_USERNAME']
jira_api_token = os.environ['JIRA_API_TOKEN']
jira_project_name = os.environ['JIRA_PROJECT_NAME']
jira = JIRA(server=jira_server, basic_auth=(jira_username, jira_api_token))
# TODO: Define the JQL query to fetch issues that had status change in the last week.
jql_query = f'project = "{jira_project_name}" AND status changed DURING (startOfWeek(), endOfWeek())'
# TODO: Obtain the Slack token and channel ID.Frequently Asked Questions
How can this Weekly Jira Issue Count to Slack app benefit project managers?
The Weekly Jira Issue Count to Slack app provides project managers with a regular, automated summary of issue status changes. This helps them track project progress, identify bottlenecks, and make data-driven decisions. By receiving a weekly breakdown of issue types and their statuses directly in Slack, managers can quickly assess the project's health without manually compiling reports.
Can this app be customized to track specific issue types or statuses?
Yes, the Weekly Jira Issue Count to Slack app can be customized to focus on specific issue types or statuses. You can modify the JQL query in the script to filter for particular issue types, statuses, or any other Jira field. For example, to track only bugs and tasks, you could change the query to:
python
jql_query = f'project = "{jira_project_name}" AND issuetype IN (Bug, Task) AND status changed DURING (startOfWeek(), endOfWeek())'
How does this app improve communication between development teams and stakeholders?
The Weekly Jira Issue Count to Slack app bridges the gap between technical teams and non-technical stakeholders by providing a clear, concise summary of project progress in a widely accessible format. By posting updates in Slack, it ensures that all team members and stakeholders have visibility into the project's status, fostering transparency and enabling quicker decision-making.
How can I modify the Weekly Jira Issue Count to Slack app to send reports more frequently?
To change the frequency of reports, you can modify the scheduling part of the script. For example, to send reports daily instead of weekly, replace the following line:
python
schedule.every(7).days.do(job)
with:
python
schedule.every().day.at("09:00").do(job)
This will run the job every day at 9:00 AM.
Can this app be extended to include more detailed information about each issue?
Absolutely. The Weekly Jira Issue Count to Slack app can be enhanced to include more detailed information about each issue. You can modify the job() function to collect and report additional data. For instance, to include the assignee of each issue:
python
def job():
issues = jira.search_issues(jql_query)
issue_details = []
for issue in issues:
issue_details.append({
'Key': issue.key,
'Type': issue.fields.issuetype.name,
'Status': issue.fields.status.name,
'Assignee': issue.fields.assignee.displayName if issue.fields.assignee else 'Unassigned'
})
df = pd.DataFrame(issue_details)
table = tabulate(df, headers='keys', tablefmt='psql')
# ... rest of the function
This modification will create a more detailed table including the issue key, type, status, and assignee for each issue that changed status during the week.
Created: | Last Updated:
Introduction to the Weekly Jira Issue Count to Slack Template
Welcome to the step-by-step guide on how to set up and use the Weekly Jira Issue Count to Slack template. This template is designed to help you automate the process of fetching Jira issues that had a status change in the last week, calculate the count of issues in different types, break down each issue type by status, and post a summary in a Slack channel. The app also schedules itself to run every week, ensuring you stay updated with minimal effort.
To get started, simply click on "Start with this Template" on the Lazy platform.
Setting Environment Secrets
Before you can use this template, you'll need to set up some environment secrets. These are necessary for the app to communicate with your Jira and Slack accounts. Here's what you need to do:
- Go to the Environment Secrets tab within the Lazy Builder.
- Set the following secrets with the respective values:
- `JIRA_SERVER`: The URL of your Jira server.
- `JIRA_USERNAME`: Your Jira username.
- `JIRA_API_TOKEN`: Your Jira API token. You can generate this from your Jira account settings.
- `JIRA_PROJECT_NAME`: The name of your Jira project.
- `SLACK_TOKEN`: Your Slack token. This is obtained from your Slack app settings.
- `CHANNEL_ID`: The ID of the Slack channel where the summary will be posted.
External Integrations
For this template to function correctly, you'll need to have access to both Jira and Slack. Ensure you have the necessary permissions to create an API token in Jira and a bot token in Slack. If you don't have these permissions, please contact your Jira and Slack administrators.
Using the Test Button
Once you have set up the environment secrets, you can use the Test button to begin the deployment of the app. The Lazy CLI will prompt you for any required user input. There's no need to worry about installing libraries or setting up the environment, as Lazy handles all of that for you.
After using the Test button, if the app requires an API, Lazy will provide you with a dedicated server link to use the API. In the case of FastAPI, you will also receive a docs link to interact with the app.
How to Use the Interface
Once the app is deployed, it will automatically run the job to fetch and post the Jira issue summary to the specified Slack channel. The app is scheduled to run this job every week, but you can trigger it manually by using the Test button again.
If you need to make any changes to the JQL query or the Slack message format, you can do so directly within the Lazy Builder interface. Remember to save your changes and use the Test button to redeploy the app with the new configuration.
That's it! You've successfully set up the Weekly Jira Issue Count to Slack template. Your Slack channel will now receive automated weekly updates on the Jira issue status changes, helping you and your team stay informed and responsive.
Template Benefits
-
Automated Project Status Reporting: This template automates the process of generating and sharing weekly project status reports, saving time for project managers and ensuring consistent, timely updates for stakeholders.
-
Enhanced Visibility into Issue Trends: By categorizing issues by type and status, the template provides a clear, visual representation of project trends, allowing teams to quickly identify areas that need attention or improvement.
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Improved Cross-team Communication: By posting the summary directly to Slack, the template facilitates better communication between development teams, project managers, and other stakeholders, ensuring everyone is on the same page regarding project progress.
-
Data-Driven Decision Making: The weekly summary provides quantitative data on issue status changes, enabling management to make more informed decisions about resource allocation, sprint planning, and project timelines.
-
Increased Accountability and Productivity: Regular, automated reporting encourages teams to maintain consistent progress and update issue statuses promptly, potentially leading to improved productivity and accountability across the project.
Technologies
Streamline Slack Workflows with Lazy AI: Automate Notifications, API Integrations and More
Optimize Jira Workflows with Lazy AI: Automate Tasks, Reports, Collaboration and More
