PLATO camera as-built configuration data list: configuration management and automation with Python tools

Le résumé fourni par la source

PLATO is ESA's M3 mission to detect and characterise exoplanets around bright solar-type stars using high-precision space photometry. The payload uses a multi-telescope concept with 26 Cameras (CAMs) produced in series by several institutions. For each CAM, the configuration is reported in an As-Built Configuration Data List (ABCL), which gathers serial numbers, procedures, reports, configuration/calibration files and tracks Non-Conformance Reports (NCRs) and Request for Deviation/Waiver (RFD/W) throughout Assembly, Integration, Testing and Verification (AIT/V) phases. In total, this corresponds to about 1000 items, 1200 documents and over 60 ABCL issues. After introducing the general framework, in this presentation, we present a Python-based workflow, built around a central Excel database and a controlled set of keywords, that automatically generates CAM ABCLs, ensuring consistent as-built data, efficient tracking of NCRs and RFD/W, and a global overview of the PLATO camera population

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