dbbot-sqlalchemy

DbBot-SQLAlchemy

DbBot is a Python script to serialize Robot Framework_ output files into a SQLite database. This way the future Robot Framework_ related tools and plugins will have a unified storage for the test run results.

DbBot-SQLAlchemy is a fork of DbBot project that is using SQLAlchemy in order to store test run results in any of the major supported database systems.

The goal is to support the following databases:

• PostgreSQL
• MySQL
• Oracle
• MS SQL
• SQLite

Requirements

DbBot-SQLAlchemy is tested on

• Python__ 3.5+
• Robot Framework_ 3.0+
• SQLAlchemy_ 1.2+

It may (though it is not guaranteed) work with older versions of dependencies.

How it works

The script takes one or more output.xml files as input, initializes the database schema, and stores the respective results into a SQLite database (robot\_results.db by default, can be changed by specifying SQLAlchemy database URL with options -b or --database). If database schema is already existing, it will insert the new results into that database.

Installation

This tool is installed with pip with command:

::

$ pip install dbbot-sqlalchemy

Alternatively you can download the source distribution__, extract it and install using:

::

$ python setup.py install

What is stored

Both the test data (names, content) and test statistics (how many did pass or fail, possible errors occurred, how long it took to run, etc.) related to suites and test cases are stored by default. However, keywords and related data are not stored as it might take order of magnitude longer for massive test runs. You can choose to store keywords and related data by using -k or --also-keywords flag.

Usage examples

Typical usage with a single output.xml file:

::

python -m dbbot.run atests/testdata/one_suite/test_output.xml

If the database does not already exist, it's created. Otherwise the test results are just inserted into the existing database. Only new results are inserted.

The default database is SQLite database named robot_results.db.

Additional options are:

+-------------------+---------------------------+--------------------------+ | Short format | Long format | Description | +===================+===========================+==========================+ | -k | --also-keywords | Parse also suites' and | | | | tests' keywords | +-------------------+---------------------------+--------------------------+ | -v | --verbose | Print output to the | | | | console. | +-------------------+---------------------------+--------------------------+ | -b DB_URL | --database=DB_URL | SQLAlchemy database URL | | | | for test run results | +-------------------+---------------------------+--------------------------+ | -d | --dry-run | Do everything except | | | | store the results. | +-------------------+---------------------------+--------------------------+

Specifying custom database name:

::

$ python -m dbbot.run  -b sqlite:///my_own_database.db atests/testdata/one_suite/test_output.xml
$ python -m dbbot.run  -b postgresql://postgres:postgres@localhost:5432/postgres atests/testdata/one_suite/test_output.xml

Parsing test run results with keywords and related data included:

::

python -m dbbot.run -k atests/testdata/one_suite/test_output.xml

Giving multiple test run result files at the same time:

::

python -m dbbot.run atests/testdata/one_suite/test_output.xml atests/testdata/one_suite/output_latter.xml

Database

You can inspect the created database using the sqlite3_ command-line tool:

.. code:: sqlite3

$ sqlite3 robot_results.db

sqlite> .tables
arguments        suite_status     test_run_errors  tests
keyword_status   suites           test_run_status
keywords         tag_status       test_runs
messages         tags             test_status

sqlite> SELECT count(), tests.id, tests.name
        FROM tests, test_status
        WHERE tests.id == test_status.test_id AND
        test_status.status == "FAIL"
        GROUP BY tests.name;

Please note that when database is initialized, no indices are created by DbBot. This is to avoid slowing down the inserts. You might want to add indices to the database by hand to speed up certain queries in your own scripts.

For information about the database schema, see doc/robot_database.md__.

Use case example: Most failing tests

One of the common use cases for DbBot is to get a report of the most commonly failing suites, tests and keywords. There's an example for this purpose in examples/FailBot/bin/failbot.

Failbot is a Python script used to produce a summary web page of the failing suites, tests and keywords, using the information stored in the DbBot database. Please adjust (the barebone) HTML templates in examples/FailBot/templates to your needs.

Writing your own scripts

Please take a look at the modules in examples/FailBot/failbot as an example on how to build on top of the classes provided by DbBot to satisfy your own scripting needs.

License

DbBot is released under the Apache License, Version 2.0__.

See LICENSE.TXT for details.

__ https://www.python.org/ __ https://pypi.python.org/pypi/dbbot-sqlalchemy __ https://github.com/pbylicki/DbBot-SQLAlchemy/blob/master/doc/robot_database.md __ http://www.tldrlegal.com/license/apache-license-2.0 .. _Robot Framework: http://www.robotframework.org .. _pip: http://www.pip-installer.org .. _sqlite3: https://www.sqlite.org/sqlite.html .. _SQLAlchemy: http://www.sqlalchemy.org