PRISM (Post-Flight Reporting, Ingestion, and Spatial Mapping)

[SRINIVASTA]

📝 Project Overview

This issue establishes the foundational infrastructure for PRISM, an automated event-driven backend system engineered to process post-flight telemetry matrices, generate interactive geospatial route maps, and compile flight analytics reports.

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🚀 Key Components to Implement

📡 1. Telemetry Ingestion (prism_telemetry_matrix.csv)

• Parse sequential telemetry logs containing timestamps, coordinates (16.6122°N, 80.8454°E), altitude, battery health, and velocity vectors.
• Implement data serialization protocols using pandas dataframes.

🗺️ 2. Geospatial Flight Mapping (prism_flight_path.html)

• Dynamically render full-cycle geospatial flight maps using coordinate lists.
• Generate and save self-contained vector tracks to an interactive HTML output file.

📄 3. Automated Post-Flight Reporting (prism_mission_report.pdf)

• Initialize a programmatic layout using the ReportLab PDF generation library.
• Auto-populate structural flight metadata tables, flight paths, and metrics upon verified vehicle touchdown hooks.

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📦 Development Todo List

• Initialize Python development environment and dependencies
• Build the file writing utilities for .csv, .html, and .pdf formats
• Test the pipeline trigger using sample simulation telemetry logs