fetch-and-update

Automating XLSX parsing and Next.js data module updates requires a workflow that downloads the spreadsheet, parses its contents deterministically, and regenerates the ingestion module. This ensures your dashboard dataset stays synchronized with the latest source file without manual intervention.

The best way to automate fetching reservoir data and publishing Telegram community posts is to run an end-to-end workflow that retrieves the latest figures, validates the app build, pushes commits to Git, and then sends a corresponding Telegram message for the same update cycle.

The English versus Greek fallback mechanism prioritizes downloading the English XLSX file from the source page, but automatically falls back to the Greek version if the English update is delayed. It preserves English dam naming conventions during parsing regardless of the source file language.

Yes, deterministic data ingestion and XLSX parsing use a Node-based approach to generate the new app data module. This Node environment also handles updating the historical storage heatmap entries and validating the application build before committing to the repository.

Yes, you can use a CI Git publish workflow to ensure a successful app build before sending Telegram automation messages. The process validates the build, commits and pushes to origin, and only then triggers the Telegram community post for that specific update cycle.

Automated data ingestion workflows fail when regional mapping for dams is missing because the parsing logic expects all 21 reservoirs to be included with correct regional assignments. Ensuring the source XLSX contains complete regional data prevents module generation errors.