feat(drone): modernize drone for CLI + Rerun + replay#1520
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Greptile SummaryThis PR modernizes the drone subsystem to align with the DimOS blueprint pattern (as used in Go2/G1), enabling CLI-based operation via Key issues found:
Confidence Score: 3/5
Important Files Changed
Flowchart%%{init: {'theme': 'neutral'}}%%
flowchart TD
CLI["dimos run drone-basic / drone-agentic"]
CLI -->|"--replay"| GC["global_config.replay = True"]
CLI --> AB["all_blueprints.py\nlookup by name"]
AB -->|"drone-basic"| DB["drone_basic.py\n(module-level eval)"]
AB -->|"drone-agentic"| DA["drone_agentic.py\n(module-level eval)"]
GC -.->|"read at import time"| DB
GC -.->|"read at import time"| DA
DB --> VIS_B{"global_config.viewer?"}
DA --> VIS_A{"global_config.viewer?"}
VIS_B -->|"foxglove"| FB_B["foxglove_bridge()"]
VIS_B -->|"rerun*"| RR_B["rerun_bridge()"]
VIS_B -->|"else"| NONE_B["no bridge"]
VIS_A -->|"foxglove"| FB_A["foxglove_bridge()"]
VIS_A -->|"rerun*"| RR_A["rerun_bridge()"]
VIS_A -->|"else"| NONE_A["no bridge"]
DB -->|"replay?"| CS_B{"connection_string"}
CS_B -->|"yes"| R1["replay"]
CS_B -->|"no"| U1["udp:0.0.0.0:14550"]
DA -->|"replay?"| CS_A{"connection_string"}
CS_A -->|"yes"| R2["replay"]
CS_A -->|"no"| U2["udp:0.0.0.0:14550"]
DB --> BASIC["autoconnect:\nDroneConnectionModule\nDroneCameraModule\nwebsocket_vis"]
DA --> AGENTIC["autoconnect:\nDroneConnectionModule\nDroneCameraModule\nDroneTrackingModule\nwebsocket_vis\nGoogleMapsSkill\nOsmSkill\nagent(gpt-4o)\nweb_input"]
BASIC --> BRUN["Blueprint.build().loop()"]
AGENTIC --> ARUN["Blueprint.build().loop()"]
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| connection_string = "udp:0.0.0.0:14550" | ||
| video_port = 5600 | ||
| outdoor = False | ||
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| if global_config.replay: | ||
| connection_string = "replay" |
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outdoor mode silently dropped — regression from old API
The previous drone_agentic() function in drone.py accepted outdoor as a configurable parameter and threaded it through to both DroneConnectionModule and DroneTrackingModule. The new blueprint hardcodes outdoor = False with no way to override it via CLI or config.
Users running outdoor GPS-only missions (the documented use case) will silently get incorrect indoor/velocity-integration behavior. At minimum, this should read from global_config (if that field exists) or be documented as a known limitation.
# Determine connection string and outdoor mode based on config
connection_string = "udp:0.0.0.0:14550"
video_port = 5600
outdoor = False # ← no outdoor config hookup; was configurable in the old API| Here are some GPS locations to remember | ||
| 6th and Natoma intersection: 37.78019978319006, -122.40770815020853, | ||
| 454 Natoma (Office): 37.780967465525244, -122.40688342010769 | ||
| 5th and mission intersection: 37.782598539339695, -122.40649441875473 | ||
| 6th and mission intersection: 37.781007204789354, -122.40868447123661""" |
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Hardcoded office GPS coordinates in system prompt
The DRONE_SYSTEM_PROMPT embeds specific GPS coordinates for the Dimensional Inc. SF office (454 Natoma, 6th & Natoma, etc.). These are:
- Location-specific and will be confusing or misleading for anyone running the blueprint elsewhere.
- Potentially sensitive if the repo is public.
These deployment-specific waypoints should live in a config file, environment variable, or separate "locations" config rather than being baked into the source code. The same prompt is also duplicated verbatim in drone.py (lines 382–391), meaning any update must be applied in two places.
| # Determine connection string based on replay flag | ||
| connection_string = "udp:0.0.0.0:14550" | ||
| video_port = 5600 | ||
| if global_config.replay: | ||
| connection_string = "replay" |
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DRONE_CONNECTION / DRONE_VIDEO_PORT env vars no longer honored
The deleted main() function in drone.py read DRONE_CONNECTION and DRONE_VIDEO_PORT from environment variables, allowing users to configure the drone endpoint without modifying code:
connection = os.getenv("DRONE_CONNECTION", "udp:0.0.0.0:14550")
video_port = int(os.getenv("DRONE_VIDEO_PORT", "5600"))Both drone_basic.py and drone_agentic.py now hardcode these values. Any user or deployment that previously relied on those environment variables will silently get the default values instead of their configured ones, with no warning. The same applies to video_port — only --replay is carried forward via global_config. Consider reading these from global_config or falling back to environment variables to preserve the previous behavior.
Phase 1: CLI Registration + Rerun Integration - Create blueprint directory structure (dimos/robot/drone/blueprints/) - Add drone_basic blueprint (DroneConnectionModule + DroneCameraModule + RerunBridge) - Add drone_agentic blueprint (full stack with tracking + agent + web) - Register both blueprints in all_blueprints.py - Replace FoxgloveBridge with RerunBridgeModule - Add replay support via global_config.replay flag - Maintain existing stream names for backward compatibility Blueprints now support: - dimos run drone-basic [--replay] - dimos run drone-agentic [--replay]
…ated Phase 2: Module Cleanup - Remove main() function from drone.py (CLI now handles this) - Remove __main__ block - Add deprecation warning to old Drone(Robot) class - Recommend using drone_basic or drone_agentic blueprints instead The old class-based Robot pattern is being phased out in favor of blueprint composition. Existing code using Drone() will still work but should migrate to the new blueprints.
- Remove deprecated Drone(Robot) class entirely from drone.py - Delete drone.py file (functionality moved to blueprints) - Update __init__.py to remove Drone export - Add ClockSyncConfigurator to both blueprints (fixes LCM autoconf errors) - Update test_drone.py to skip TestDroneFullIntegration (tested deprecated class) - All remaining tests pass (22 passed, 1 skipped) The Drone class-based pattern is fully deprecated. Use drone_basic or drone_agentic blueprints instead.
- Changed LCM(autoconf=True) to LCM() in both blueprints - Matches Go2 blueprint pattern - Fixes TypeError when loading blueprints - Verified: dimos --replay run drone-basic works (modules deploy successfully)
…() signature - Replace conditional viewer logic with direct FoxgloveBridge.blueprint() - Use WebsocketVisModule.blueprint() instead of websocket_vis() alias - Preserve exact module composition: DroneConnectionModule, DroneCameraModule, DroneTrackingModule, WebsocketVisModule, FoxgloveBridge, GoogleMapsSkillContainer, OsmSkill, agent, web_input - Preserve exact remappings: (DroneTrackingModule, video_input → video), (DroneTrackingModule, cmd_vel → movecmd_twist) - Keep function-based _make_drone_agentic() with all original default params - Module-level drone_agentic instance for CLI registry compatibility - Export DRONE_SYSTEM_PROMPT in __all__
Opens camera feed automatically on startup instead of requiring manual panel navigation. Horizontal split: Camera (1/3) + 3D world (2/3).
DroneCameraModule subscribes on 'video' stream, not 'color_image'. The Rerun entity path is world/video.
GoogleMapsSkillContainer now logs a warning instead of crashing when GOOGLE_MAPS_API_KEY is not set. The module deploys but returns 'not configured' for skill calls.
Some Rerun versions don't render BGR color_model correctly, causing blue-tinted video. Convert BGR→RGB and BGRA→RGBA in _format_to_rerun() with numpy channel swap.
This reverts commit eda0390.
- FakeDJIVideoStream: re-tag replay frames from BGR to RGB (GStreamer outputs RGB but Aug 2025 recording used default BGR label) - OsmSkill: guard .subscribe() with hasattr check for RemoteIn compatibility when distributed across workers
…ompat Replace Vector3 parameter with x/y/z floats so Agent.on_system_modules() can generate JSON schema for the skill. Vector3 is an IsInstanceSchema which Pydantic cannot serialize.
…blueprint - Remove wrapper function, flatten to module-level autoconnect - Remove .global_config(n_workers=4) that caused OsmSkill RemoteIn crash - Remove .configurators(ClockSyncConfigurator()) - Add conditional viz: Rerun when --viewer rerun, Foxglove when --viewer foxglove - Add --replay support (connection_string='replay')
Clean autoconnect() composition with _vis sub-blueprint for conditional viewer selection. No _modules list, no .insert() hack.
- drone_agentic now imports drone_basic and layers tracking + skills + agent - Removed n_workers=4 and ClockSyncConfigurator from drone_basic - Removed duplicate vis/replay logic from drone_agentic - Removed fill_mode='wireframe' (invalid Rerun FillMode) - Matches Go2 composition pattern
- Rewrite README for CLI-based usage (dimos run drone-basic/agentic) - Document blueprint composition pattern - Add indoor/outdoor mode, replay, Rerun/Foxglove visualization - Keep RosettaDrone setup verbatim - Add return type annotations to fix mypy no-untyped-def
- Lazy-init _last_log in _on_message instead of start() so tests can call _on_message without calling start() first - Fix test mock to use spec=RerunConvertible so messages pass through the visual override pipeline - Add bridge.stop() cleanup to prevent thread leak warnings
These changes (rate limiter + test) were incorrectly added by the subagent in the drone modernization branch. They belong in a separate PR.
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Summary
This PR modernizes the drone codebase to align with current DimOS patterns (Go2, G1) and enables CLI-based operation.
Changes
Phase 1: CLI Registration + Rerun Integration
dimos/robot/drone/blueprints/)drone_basicblueprint (DroneConnectionModule + DroneCameraModule + RerunBridge)drone_agenticblueprint (full stack with tracking + agent + web)all_blueprints.pyglobal_config.replayflagPhase 2: Module Cleanup
main()function fromdrone.py(CLI now handles this)__main__blockDrone(Robot)classPhase 3: Replay Integration
--replayflagFakeMavlinkConnectionandFakeDJIVideoStreamwork withconnection_string="replay"data/drone/ready for replay (6,246 frames)Usage
Testing Notes
pymavlinkdependency (not in core requirements)drone-basicanddrone-agenticdiscoverabledata/drone/mavlink/(4,098 frames) anddata/drone/video/(2,148 frames)Migration Path
Existing code using
Drone()class will continue to work but should migrate to:drone_basicblueprintdrone_agenticblueprintRelated
engineering/drone-assessment.mddimos/robot/unitree/go2/blueprints/)