brianmurunga/distributed_log_processor

Distributed Log Viewer is a dual-interface log management tool. Users either submit filters, uploads, and exports through the Flask dashboard or run CLI commands. Logs are generated, read, parsed, queried, retained, and stored in SQLite; selected records then become tables, charts, terminal output, or downloadable files. The graph preserves both interfaces and their distinct operations. Some modules use different relative SQLite filenames, so the database node represents the repository’s documented SQLite store rather than asserting one runtime path; unsampled export/template internals are shown only where tree support exists.