
Developed granular installation exit codes for the stub installer in the mozilla/gcp-ingestion repository, enhancing telemetry and diagnostics for installation outcomes. The work involved implementing new exit codes such as unknown_error and hardware or OS requirements not met, then mapping these outcomes to boolean flags within the ParseUri class. Expanded unit test coverage using Python and pytest to validate the accuracy and granularity of reporting, ensuring that diagnostic data is more actionable for issue triage. Focused on backend development and data processing, the changes improved the visibility of installation failures and aligned with ongoing efforts to enhance analytics and reporting.
December 2024: Delivered granular installation exit codes for the stub installer and expanded test coverage in mozilla/gcp-ingestion to improve telemetry and diagnostics. Implemented exit outcomes: unknown_error, sig_check_timeout, hardware_req_not_met, os_version_req_not_met, disk_space_req_not_met, writeable_req_not_met, and mapped them to ParseUri boolean flags. Added unit tests for the stub installer to validate reporting granularity. This work aligns with Bug 1933847 (ParseUri updates for stub installer exit code enhancements) and enhances diagnostic data, enabling faster issue triage and data-driven improvements. Technologies demonstrated include Python code changes, unit testing (pytest), boolean flag mapping, and CI-visible coverage.
December 2024: Delivered granular installation exit codes for the stub installer and expanded test coverage in mozilla/gcp-ingestion to improve telemetry and diagnostics. Implemented exit outcomes: unknown_error, sig_check_timeout, hardware_req_not_met, os_version_req_not_met, disk_space_req_not_met, writeable_req_not_met, and mapped them to ParseUri boolean flags. Added unit tests for the stub installer to validate reporting granularity. This work aligns with Bug 1933847 (ParseUri updates for stub installer exit code enhancements) and enhances diagnostic data, enabling faster issue triage and data-driven improvements. Technologies demonstrated include Python code changes, unit testing (pytest), boolean flag mapping, and CI-visible coverage.

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