Ryan Malloy
bf92c70d3b
Add detect_oot_modules() MCP tool that analyzes .py or .grc flowgraphs to identify required OOT modules, enabling automatic Docker image selection without manual image= parameter specification. Detection approaches: - Python files: parse import statements (gnuradio.module, import module) - GRC files: heuristic prefix matching + explicit block-to-module mappings New features: - OOTDetectionResult model with detected_modules, unknown_blocks, and recommended_image fields - auto_image parameter on launch_flowgraph() for automatic image selection - _BLOCK_TO_MODULE mapping for edge cases like lora_rx → lora_sdr - Comprehensive core block filtering (variable_*, filter blocks, xmlrpc) Tests: 23 new unit tests covering Python detection, GRC detection, image recommendation, and edge cases.