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
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.
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.
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
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.
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
You can inspect the created database using the sqlite3 command-line tool:
$ 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.
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.
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.
DbBot is released under the Apache License, Version 2.0.
See LICENSE.TXT for details.