Jira Connector for Python In this article you will learn how to integrate Jira data in Python (live / bi-directional connection to Jira). Jira Connector can be used to integrate Jira and your defined data source, e.g. Microsoft SQL, Oracle, Excel, Power BI, etc. Get, write, delete Issues, Users, Worklogs, Comments just in a few clicks!. Using Jira Connector you will be able to connect, read, and write data from within Python. Follow the steps below to see how we would accomplish that. Download Documentation The driver mentioned above is part of ODBC PowerPack which is a collection of high-performance Drivers for various API data source (i.e. REST API, JSON, XML, CSV, Amazon S3 and many more). Using familiar SQL query language you can make live connections and read/write data from API sources or JSON / XML / CSV Files inside SQL Server (T-SQL) or your favorite Reporting (i.e. Power BI, Tableau, Qlik, SSRS, MicroStrategy, Excel, MS Access), ETL Tools (i.e. Informatica, Talend, Pentaho, SSIS). You can also call our drivers from programming languages such as JAVA, C#, Python, PowerShell etc. If you are new to ODBC and ZappySys ODBC PowerPack then check the following links to get started. ODBC PowerPack - System Requirements and Installation Getting Started - Using ODBC PowerPack ODBC API Driver Help File

Connect to Jira in other apps Connect to Jira in SSIS Connect to Jira in SQL Server Connect to Jira in Power BI Connect to Jira in SSRS Connect to Jira in Informatica Connect to Jira in MS Access Connect to Jira in MS Excel Connect to Jira in SSAS Connect to Jira in C# Connect to Jira in JAVA Connect to Jira in Tableau Connect to Jira in SAP Crystal Reports Connect to Jira in Azure Data Factory (Pipeline) Connect to Jira in Azure Data Factory (SSIS) Connect to Jira in Talend Studio Connect to Jira in UiPath Connect to Jira in PowerShell Connect to Jira in ODBC

Create ODBC Data Source (DSN) based on ZappySys API Driver

Step-by-step instructions

To get data from Jira using Python we first need to create a DSN (Data Source) which will access data from Jira. We will later be able to read data using Python. Perform these steps:

1. Install ZappySys ODBC PowerPack.

2. Open ODBC Data Sources (x64):
   

3. Create a User Data Source (User DSN) based on ZappySys API Driver

   ZappySys API Driver

   
   You should create a System DSN (instead of a User DSN) if the client application is launched under a Windows System Account, e.g. as a Windows Service. If the client application is 32-bit (x86) running with a System DSN, use ODBC Data Sources (32-bit) instead of the 64-bit version.

4. When the Configuration window appears give your data source a name if you haven't done that already, then select "Jira" from the list of Popular Connectors. If "Jira" is not present in the list, then click "Search Online" and download it. Then set the path to the location where you downloaded it. Finally, click Continue >> to proceed with configuring the DSN:

   JiraDSN

   Jira

   

5. Now it's time to configure the Connection Manager. Select Authentication Type, e.g. Token Authentication. Then select API Base URL (in most cases, the default one is the right one). More info is available in the Authentication section.

    API Key based Authentication [Http]

   Steps to get Jira Credentials
   Firstly, login into your Atlassian account and then go to your Jira profile:

   1. Go to Profile > Security.
   2. Click Create and manage API tokens.
   3. Then click Create API token button and give your token a label.
   4. When window appears with new API token, copy and use it in this connection manager.
   5. That's it!

   Fill in all required parameters and set optional parameters if needed:

   JiraDSN

   Jira

   API Key based Authentication [Http]

   https://[$Subdomain$].atlassian.net/rest/api/3

   Required Parameters
   Subdomain	Fill in the parameter...
   Atlassian User Name (email)	Fill in the parameter...
   API Key	Fill in the parameter...
   Optional Parameters
   CustomColumnsRegex	Fill in the parameter...

   

    OAuth based Authentication [OAuth]

   OAuth App must be created in Atlassian Developer Console. It is found at https://developer.atlassian.com/console/myapps/ [API Help..]

   Steps to get Jira Credentials
   Firstly, login into your Atlassian account and then create Jira application:

   1. Go to Atlassian Developer area.
   2. Click Create app and select OAuth 2.0 (3LO) integration app to create an OAuth app.
   3. Give your app a name, accept the terms and hit Create.
   4. Then hit App details panel and copy paste Client ID and Secret into the API Connection Manager configuration grid into the proper places.
   5. Then go back and click Permissions panel to enable permissions/scopes for your application. You can enable them all.
   6. Go back again to application settings and click Authorization panel.
   7. Click Configure button and in Callback URL enter your own Callback URL or simply enter https://zappysys.com/oauth if you don't have one.
   8. Use this same Callback URL (Return URL) in a API Connection Manager configuration grid.
   9. In API Connection Manager enter one or more of these scopes (read more about available scopes) into Scopes property:
      1. offline_access (a must)
      2. read:jira-user
      3. read:jira-work
      4. write:jira-work
      5. manage:jira-project
      6. manage:jira-configuration
   10. Also configure your company's Subdomain in the properties grid.
   11. Click Generate Token to generate tokens.
   12. That's it!

   Fill in all required parameters and set optional parameters if needed:

   JiraDSN

   Jira

   OAuth based Authentication [OAuth]

   https://[$Subdomain$].atlassian.net/rest/api/3

   Required Parameters
   ClientId	Fill in the parameter...
   ClientSecret	Fill in the parameter...
   Scope	Fill in the parameter...
   ReturnUrl	Fill in the parameter...
   Organization Id (Select after clicking [Generate Token])	Fill in the parameter...
   Optional Parameters
   Custom Columns for output (Select after clicking [Generate Token])	Fill in the parameter...

   

6. Once the data source has been configured, you can preview data. Select the Preview tab and use settings similar to the following to preview data:
   

7. Click OK to finish creating the data source.

Video instructions

Read data in Python from the DSN

1. Python code to get the data:
   

   JiraDSN')

   

2. When you run the code it will make the API call and read the data:
   

3. Here is Python program's code in text format:

   
       import pyodbc
       conn = pyodbc.connect('DSN=JiraDSN')
   
       cursor = conn.cursor()
   
       #execute query to fetch data from API service
       cursor.execute("SELECT id,title FROM products")
   
       row = cursor.fetchone()
       while row:
           print(row)
           row = cursor.fetchone()
   
       ##For loop example
       #for row in cursor:
       #    print(row)
   

4. If you want to avoid to be dependent on a DSN name and creating multiple DSNs for each platform (x86, x64), then you can use a fully qualified connection string. Simply go to your DSN and copy the Connection String . Then in your Python code use Connection String when initializing OdbcConnection object, for example:

   conn = pyodbc.connect('DRIVER={ZappySys API Driver};ServiceUrl=https://yourservices.provider.com/api/xxxx....;AuthName=Http;')

   How to get ZappySys Driver Connection String?

   Please follow the instructions below to retrieve the connection string for the ZappySys driver.

   1. Click on the Windows Start menu.

   2. In the search bar, type ODBC and press Enter.

   3. From the search results, choose ODBC Data Sources or ODBC Data Sources (32-bit) or a similar option depending on your system architecture and ODBC driver configuration.

   4. Choose your data source from the list, then click on the Configure button.
   5. After opening the Data Source UI, you should copy the connection string to a Notepad or text file for reference.
   6. Click on Copy Connection String button.
      When you click 'Copy Connection String,' you may encounter the following option:
      Choose the third option All Settings to copy everything and click on OK button.
      
      

   That's it connection string has been successfully copied.

How to install `pyodbc` in the Python?

Advanced topics

Create Custom Stored Procedure in ZappySys Driver

You can create procedures to encapsulate custom logic and then only pass handful parameters rather than long SQL to execute your API call.

Steps to create Custom Stored Procedure in ZappySys Driver. You can insert Placeholders anywhere inside Procedure Body. Read more about placeholders here

1. Go to Custom Objects Tab and Click on Add button and Select Add Procedure:
   

2. Enter the desired Procedure name and click on OK:
   

3. Select the created Stored Procedure and write the your desired stored procedure and Save it and it will create the custom stored procedure in the ZappySys Driver:
   Here is an example stored procedure for ZappySys Driver. You can insert Placeholders anywhere inside Procedure Body. Read more about placeholders here
   

   CREATE PROCEDURE [usp_get_orders]
       @fromdate = '<<yyyy-MM-dd,FUN_TODAY>>'
    AS
       SELECT * FROM Orders where OrderDate >= '<@fromdate>';
   

   
   

4. That's it now go to Preview Tab and Execute your Stored Procedure using Exec Command. In this example it will extract the orders from the date 1996-01-01:
   

   Exec usp_get_orders '1996-01-01';

   
   

5. Let's generate the SQL Server Query Code to make the API call using stored procedure. Go to Code Generator Tab, select language as SQL Server and click on Generate button the generate the code.
   As we already created the linked server for this Data Source, in that you just need to copy the Select Query and need to use the linked server name which we have apply on the place of [MY_API_SERVICE] placeholder.
   

   SELECT * FROM OPENQUERY([MY_API_SERVICE], 'EXEC usp_get_orders @fromdate=''1996-07-30''')

   
   

6. Now go to SQL served and execute that query and it will make the API call using stored procedure and provide you the response.
   

Create Custom Virtual Table in ZappySys Driver

ZappySys API Drivers support flexible Query language so you can override Default Properties you configured on Data Source such as URL, Body. This way you don't have to create multiple Data Sources if you like to read data from multiple EndPoints. However not every application support supplying custom SQL to driver so you can only select Table from list returned from driver.

If you're dealing with Microsoft Access and need to import data from an SQL query, it's important to note that Access doesn't allow direct import of SQL queries. Instead, you can create custom objects (Virtual Tables) to handle the import process.

Many applications like MS Access, Informatica Designer wont give you option to specify custom SQL when you import Objects. In such case Virtual Table is very useful. You can create many Virtual Tables on the same Data Source (e.g. If you have 50 URLs with slight variations you can create virtual tables with just URL as Parameter setting.

1. Go to Custom Objects Tab and Click on Add button and Select Add Table:
   

2. Enter the desired Table name and click on OK:
   

3. And it will open the New Query Window Click on Cancel to close that window and go to Custom Objects Tab.

4. Select the created table, Select Text Type AS SQL and write the your desired SQL Query and Save it and it will create the custom table in the ZappySys Driver:
   Here is an example SQL query for ZappySys Driver. You can insert Placeholders also. Read more about placeholders here
   

   SELECT
     "ShipCountry",
     "OrderID",
     "CustomerID",
     "EmployeeID",
     "OrderDate",
     "RequiredDate",
     "ShippedDate",
     "ShipVia",
     "Freight",
     "ShipName",
     "ShipAddress",
     "ShipCity",
     "ShipRegion",
     "ShipPostalCode"
   FROM "Orders"
   Where "ShipCountry"='USA'

   
   

5. That's it now go to Preview Tab and Execute your custom virtual table query. In this example it will extract the orders for the USA Shipping Country only:
   

   SELECT * FROM "vt__usa_orders_only"

   
   

6. Let's generate the SQL Server Query Code to make the API call using stored procedure. Go to Code Generator Tab, select language as SQL Server and click on Generate button the generate the code.
   As we already created the linked server for this Data Source, in that you just need to copy the Select Query and need to use the linked server name which we have apply on the place of [MY_API_SERVICE] placeholder.
   

   SELECT * FROM OPENQUERY([MY_API_SERVICE], 'EXEC [usp_get_orders] ''1996-01-01''')

   
   

7. Now go to SQL served and execute that query and it will make the API call using stored procedure and provide you the response.
   

Actions supported by Jira Connector

Jira Connector Examples for Python Connection

This page offers a collection of SQL examples designed for seamless integration with the ZappySys API ODBC Driver under ODBC Data Source (36/64) or ZappySys Data Gateway, enhancing your ability to connect and interact with Prebuilt Connectors effectively.

SELECT * FROM Fields

SELECT * FROM Projects

INSERT INTO Projects(ProjectKey, Name, ProjectTypeKey, LeadAccountId, AssigneeType)
VALUES ('TEST', 'Test Project', 'software', '70122:XXXXXXXX-XXXX-XXXX-XXXX-c5da8c98b9e2', 'PROJECT_LEAD)
WITH (Output=1)')

UPDATE Projects
SET Name = 'My Test Kanban Project'
   ,ProjectCategoryId = 1
WITH (ProjectIdOrKey = 'MYPRJCT', Output=1)

DELETE FROM Projects
WITH (ProjectIdOrKey = '10020', Output=1)

SELECT * FROM Users

INSERT INTO Users(EmailAddress, DisplayName, Name, Password)
VALUES ('my@user.com', 'John Doe', 'John', 'xhedkspstdadaothoua')
WITH (OUTPUT=1)

DELETE FROM Users
WITH (OUTPUT=1, accountId = ''547059:136095a0-XXXX-XXXX-XXXX-3e4c66f26551'')

SELECT * FROM Issues

INSERT INTO Issues(ProjectKey, IssueTypeName, Summary, Description)
VALUES('SMP', 'Task', 'My ticket inserted through the API', 'A description about an issue')
WITH (OUTPUT=1)

UPDATE Issues
SET Summary = 'This is my summary'
   ,Description = 'Lot''s of stuff to describe'
   ,Labels = '[ "bugfix" ]'
   ,DueDate = '2029-10-10'
WITH (IssueIdOrKey='ISSKEY', OUTPUT=1)'

DELETE FROM Issues
WITH (IssueIdOrKey='10020', OUTPUT=1)

SELECT * FROM Worklogs

INSERT INTO Worklogs(TimeSpentInSeconds, Comment, StartedAt)
      VALUES(7200,'My Comment!','2020-02-23T16:20:30.123+0000')
      WITH (IssueIdOrKey='ISSKEY-1', OUTPUT=1)

UPDATE Worklogs
SET TimeSpentInSeconds = 28800
   ,Comment='My Comment!'
   ,StartedAt='2020-01-23T16:20:30.123+0000'
WITH (IssueIdOrKey='MTK-1', WorklogId='123465', OUTPUT=1)

DELETE FROM Worklogs
WITH (IssueIdOrKey='10020', WorklogId='123465', OUTPUT=1)

Conclusion

Download Jira Connector for Python Documentation 

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Download Jira Connector for Python Documentation

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