ariel-facility 0.25.9

Extract HK from MySQL Facility Database for Ariel

Extraction of HK from the MySQL Facility Database

Latest release

• PyPI: https://pypi.org/project/ariel-facility/
• GitHub releases: https://github.com/IvS-KULeuven/cgse/releases
• Latest release notes: https://github.com/IvS-KULeuven/cgse/releases/latest
• Changelog: https://github.com/IvS-KULeuven/cgse/blob/main/CHANGELOG.md

During the Ariel TA test campaign at CSL, facility (and potentially other) housekeeping data will be stored in the MySQL facility database. To store (housekeeping) data in a consistent way across devices/processes and to enable quick-look analysis (e.g. via Grafana dashboards), we want to extract the data from the MySQL facility database and ingest it into our TA-EGSE framework.

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Database Structure

The structure of the MySQL facility database is as follows:

• Each sensor has its own table with recorded values (one measure every minute).
• Each table has the following column names:
  • measure_id: Identifiers for the entries in the table (basically the row number),
  • measure_timestamp: Timestamp of the measurements [Unix time],
  • measure_value: Recorded values (already converted/calibrated).

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Local Settings

The following entries have to be included in the (local) settings file:

Facility HK:
    TABLES:
        
Facility DB:
    USER:
    PASSWORD:

• In the "TABLES" block under "Facility HK", you have to link the table names (as in the facility database) to the storage mnemonic (as in the TA-EGSE framework, to pass to the Storage Manager) and the server identifier. This can be done by adding entries to the "TABLES" block, in the following format:

  <table name (in facility database)>:  (storage mnemonic, server identifier)
  

• In the "Facility DB" block, the credentials to connect to the MySQL facility database have to be specified via "USER" and "PASSWORD".

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Functionality

The FacilityHousekeepingExporter process is responsible for:

• Extracting housekeeping data from the MySQL facility database,
• Storing the extracted housekeeping in dedicated, TA-EGSE-consistent CSV files (via the Storage Manager),
• Ingesting the extracted housekeeping in the InfluxDB metrics database.

For each of the selected tables in the facility database, a dedicated thread will check for new entries in that table. When a new entry appears in such a table, the corresponding thread will receive the new data as a dict and take the following action:

• Convert the timestamp to the format that we use throughout the TA-EGSE framework (YYYY-mm-ddTHH:MM:SS.μs+0000).
• Re-name the key for the timestamp in the dictionary to "timestamp".
• Re-name the key for the recorded value to the table name.
• If required by the telemetry, further re-naming of the keys in the dictionary will be performed.
• Send the new housekeeping value and corresponding timestamp to the Storage Manager. The latter will store it in a dedicated CSV file.
• Send the new housekeeping value and corresponding timestamp to the InfluxDB metrics database.

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Enable Binary Logging

To make this all work, binary logging should be enabled on the MySQL server. This can be done by adding the following information in the my.cnf file:

[mysqld]
log-bin=mysql-bin
server-id=<server identifier>
binlog_format=ROW

You would have to add an entry for each of the server identifiers listed in the (local) settings file (see section above).

To find this file, check the MYSQL_HOME environment variable.

When you have added all required server identifiers, the MySQL server should be re-started. Also make sure that your user had REPLICATION SLAVE or REPLICATION CLIENT privileges. This can be configured as follows:

GRANT REPLICATION SLAVE, REPLICATION CLIENT ON *.* TO 'your_user'@'%';
FLUSH PRIVILEGES;