Integration with HipTest and Travis CI

HipTest is web-based test management platform that supports continuous delivery and bridges the gap from manual to automated testing. It provides a real-time environment for creating, executing and maintaining tests.

Travis CI a hosted, distributed continuous integration service used to build and test software projects hosted at GitHub.

We used both Hiptest and Travis CI to automatically executed our python behave test cases located at GitHub and here below we will demonstrate what we learned.

Installation and Configuration

  1. Installation of the overall setup is fairly easy since both Travis CI and HipTest provide quite useful documentation. We had to create:
  2. We set Travis CI to execute all the test cases every time the repository is changed. The status page of this Travis job is publicly available to everyone python-pdf-analytics-client .
  3. After the execution, all the test case results are set to be uploaded to HipTest test run execution called ‘Automated execution via Travis’.

What we learned

    • Both Travis CI and HipTest documentation was very useful and up-to-date based on the current configuration of their platforms
    • We liked Travis CI , it is so much easier to demonstrate the features and the capabilities of the python-pdf-analytics-client library in real time using tow different python versions Python 2.7 and Python 3.6  :
    • We liked HipTest too, all our test execution results are now stored stored in a single platform monitoring the performance over time is now becomes more easierhiptest.PNG



Checking a payslip

In this article we will demonstrate how the PDFAnalytics web service can be used to verify automatically the content of a payslip PDF file.

We will use the PyPI library python-pdf-analytics-client which allows to automate the most common functions of the PDFAnalytics service.  The test cases will be written by using the python behave library.

The demo payslip PDF file is located inside the GitHub repository .

        1. The payslip document is located inside the GitHub repository 
        2. Get an account on PDFAnalytics and log in
        3. From the PDFAnalytics, upload the payslip to start the inspection as show belowupload_pdf
        4. Check the coordinates on where the expected text boxes are located inspector
        5. Create a directory for your behave_payslip
          $ mkdir ~/behave_payslip
        6. Setup a virtualenv python environment from the
          $ cd ~/behave_payslip
          $ virtualenv venv
          $ source venv/bin/activate
          $ pip install python-pdf-analytics-client
        7. Create the python behave file structure
          • : to run your environmental code
          • : the PDF payslip document
          • features/ : to store your feature test steps
          • steps/ : to store your python test steps
          • steps/, to store the actual test steps. For the test steps you can reuse (i.e. copy ) the definitions from the file on Github
        8. Create your feature file at features/payslip_pdf.feature . Check the example below to get an idea :
           Scenario: Verify payments and logo
           Given the pdf file "payslip.pdf" is sent to be analysed
           Then I "can" see the image "payslip_logo.png", at [left, top] ["100", "100"] on page "1" in pdf
           And I read "Total gross <br>payments:", at [left, top] ["74", "599"] on page "1" in pdf
           And I read "£1021.43", at [left, top] ["160", "584"] on page "1" in pdf
           And I read "Total <br>deductions:", at [left, top] ["250", "603"] on page "1" in pdf
           And I read "£304.92", at [left, top] ["334", "587"] on page "1" in pdf
           And I read "Net pay:", at [left, top] ["430", "570"] on page "1" in pdf
           And I read "£716.51", at [left, top] ["516", "586"] on page "1" in pdf
        9. Run you behave test cases from the command line:
          $ behave -D token=|your-personal-token-ID-from-the-PDFAnalytics-site|
        10. Done !


You have find a copy of this code at the Github/examples .

If you have any questions do not hesitate to contact us.