testarchiver 2.0.1.dev244185338

Tools for serialising test results to SQL database

TestArchiver

TestArchiver is a tool for archiving your test results to a SQL database.

And Epimetheus is the tool for browsing the results you archived.

Testing framework support

Framework	Status	Fixture test status	Parser option
Robot Framework	Supported	Done	robot
Mocha	Supported	Done	mocha-junit
JUnit	Experimental	Missing	junit
xUnit	Experimental	Missing	xunit
MSTest	Experimental	Missing	mstest
pytest	Supported	Done	pytest-junit

Experimental status here means that there is a parser that can take in e.g. generic JUnit formatted output but there is no specific test set or any extensive testing or active development for the parser.

Contributions for output parsers or listeners for different testing frameworks are appreciated. Contributing simply a fixture test set (that can be used to generate output files for developing a specific parser) is extremely helpful for any new framework.

Installation

sudo -H python3 -m pip install testarchiver

Supported databases

SQLite

SQLite default database for the archiver and is mainly useful for testing and demo purposes. Sqlite3 driver is part of the python standard library so there are no additional dependencies for trying out the archiver.

PostgreSQL

PostgreSQL is the currently supported database for real projects. For example Epimetheus service uses a PosrgreSQL database. For accessing PostgreSQL databases the script uses psycopg2 module: pip install psycopg2-binary (comes with pip install)

Basic usage

The output files from different testing frameworks can be parsed into a database using test_archiver/output_parser.py script.

testarchiver --database test_archive.db output.xml

Assuming that output.xml is a output file generated by Robot Framework (the default parser option), this will create a SQLite database file named test_archive.db that contains the results.

For list of other options: testarchiver --help

positional arguments:
  output_files          list of test output files to parse in to the test
                        archive

optional arguments:
  -h, --help            show this help message and exit
  --version, -v         show program's version number and exit
  --config CONFIG_FILE  path to JSON config file containing database
                        credentials
  --dbengine DB_ENGINE  Database engine, postgresql or sqlite (default)
  --database DATABASE   database name
  --host HOST           database host name
  --user USER           database user
  --pw PASSWORD, --password PASSWORD
                        database password
  --port PORT           database port (default: 5432)
  --dont-require-ssl    Disable the default behavior to require ssl from the
                        target database.
  --allow-minor-schema-updates
                        Allow TestArchiver to perform MINOR (backwards
                        compatible) schema updates the test archive
  --allow-major-schema-updates
                        Allow TestArchiver to perform MAJOR (backwards
                        incompatible) schema updates the test archive
  --format {robot,robotframework,xunit,junit,mocha-junit,pytest-junit,mstest}
                        output format (default: robotframework)
  --repository REPOSITORY
                        The repository of the test cases. Used to
                        differentiate between test with same name in different
                        projects.
  --team TEAM           Team name for the test series
  --series SERIES       Name of the test series (and optionally build number
                        'SERIES_NAME#BUILD_NUM' or build id
                        'SERIES_NAME#BUILD_ID')
  --metadata NAME:VALUE
                        Adds given metadata to the test run. Expected format:
                        'NAME:VALUE'
  --change-engine-url CHANGE_ENGINE_URL
                        Starts a listener that feeds results to ChangeEngine

Data model

Schema and data model (NOTICE: this points to latest version)

Useful metadata

There are meta data that are useful to add with the results. Some testing frameworks allow adding metadata to your test results and for those frameworks (e.g. Robot Framework) it is recommended to add that metadata already to the tests so the same information is also available in the results. Additional metadata can be added when parsing the results using the --metadata option. Metadata given during the parsing is linked to the top level test suite.

--metadata NAME:VALUE

Test series and teams

In the data model, each test result file is represented as single test run. These test runs are linked and organized into builds in in different result series. Depending on the situation the series can be e.g. CI build jobs or different branches. By default if no series is specified the results are linked to a default series with autoincrementing build numbers. Different test runs (from different testing frameworks or parallel executions) that belong together can be organized into the same build. Different test series are additionally organized by team. Series name and build number/id are separated by #.

Some examples using the --series and --team options of testarchiver

• --series ${JENKINS_JOB_NAME}#${BUILD_NUMBER}
• --series "UI tests"#<commit hash>
• --series ${CURRENT_BRANCH}#${BUILD_ID} --team Team-A
• --series manually_run

Each build will have a build number in the series. If the build number is specified then that number is used. If the build number/id is omitted then the build number will be checked from the previous build in that series and incremented. If the build number/id is not a number it is considered a build identifier string. If that id is new to the series the build number is incremented just as if it no build number was specified. If the same build id is found in the same test series then the results are added under that same previously archived build.

If the tests are executed in a CI environment the build number/id is an excellent way to link the archived results to the actual builds.

The series can also be indicated using metadata. Any metadata with name prefixed with series are interpreted as series information. This is especially useful when using listeners. For example when using Robot Framework metadata --metadata team:A-Team --metadata series:JENKINS_JOB_NAME#BUILD_NUMBER

Release notes

• 2.0.0 (TBD)

  • Distribution as pip package pip3 install testarchiver and it installs:
    • testarchiver script (aka: output_parser.py)
    • testarchive_schematool script (aka: database.py)
    • diff2change_context_list.py script
    • test_archiver module
  • Functionality for managing schema updates
    • TestArchiver version has to match with the schema version
    • TestArchiver can apply schema updates when explicitly allowed
    • Updates are divided to major and minor updates
    • Minor updates are backwards compatible for applications reading the database
    • Major updates are backwards incompatible for applications reading the database
  • Major schema update #1:
    • Adds schema_updates table for recording schema updates
    • Adds schema_version column to test_run table to make schema incompatible with old versions TestArchiver
    • Adds index for log messages for query performance
  • Renamed output_parser.py cli option --change_engine_url to --change-engine-url
  • Record an execution path for test cases, suites and log messages.
    • The path explains the position of the item in its test run.
    • E.g. s1-s2-t3 means the third test in the second subsuite of the top suite.
  • Minor schema update #2:
    • Adds execution_path column to test_result, suite_result and log_message tables
  • Renamed Robot Framework listener ArchiverListener.py as ArchiverRobotListener.py for clarity

• 1.2.0 (2020-08-18)

  • Important database integrity fix when using sqlite database
  • Record test criticality (Robot Framework specific)
  • Redesign of configurations management
    • Allows using both config file and command line arguments uniformly
    • CLI arguments override options set in config file

• 1.1.3 (2020-06-09)

  • Performance fix for the schema existence check
  • Improved error messages:
    • Error when trying to archive results that have already been archived
    • Error when psycopg2 module is not found