graphify trial 1.

graphify-out/.graphify_python

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+C:\Users\rakadu1\AppData\Local\Programs\Python\Python314\python.exe

graphify-out/GRAPH_REPORT.md

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+# Graph Report - .  (2026-04-21)
+
+## Corpus Check
+- 89 files · ~92,297 words
+- Verdict: corpus is large enough that graph structure adds value.
+
+## Summary
+- 330 nodes · 475 edges · 33 communities detected
+- Extraction: 68% EXTRACTED · 32% INFERRED · 0% AMBIGUOUS · INFERRED: 151 edges (avg confidence: 0.7)
+- Token cost: 0 input · 0 output
+
+## Community Hubs (Navigation)
+- [[_COMMUNITY_Scenario Framework & Maneuvers|Scenario Framework & Maneuvers]]
+- [[_COMMUNITY_Radar Simulation & Processing|Radar Simulation & Processing]]
+- [[_COMMUNITY_Orchestration & Sensor Management|Orchestration & Sensor Management]]
+- [[_COMMUNITY_Data Recording & Heatmaps|Data Recording & Heatmaps]]
+- [[_COMMUNITY_Data Conversion Utilities|Data Conversion Utilities]]
+- [[_COMMUNITY_Web Dashboard & Loader|Web Dashboard & Loader]]
+- [[_COMMUNITY_LiDAR & Fast Heatmap Gen|LiDAR & Fast Heatmap Gen]]
+- [[_COMMUNITY_DSP & CFAR Detection|DSP & CFAR Detection]]
+- [[_COMMUNITY_Scene Reconstruction|Scene Reconstruction]]
+- [[_COMMUNITY_Dashboard Frontend (JS)|Dashboard Frontend (JS)]]
+- [[_COMMUNITY_MCAP Dataset Conversion|MCAP Dataset Conversion]]
+- [[_COMMUNITY_Radar Signal Detection|Radar Signal Detection]]
+- [[_COMMUNITY_Data Quality Inspection|Data Quality Inspection]]
+- [[_COMMUNITY_Deep Metrology Analysis|Deep Metrology Analysis]]
+- [[_COMMUNITY_Metrology Comparison|Metrology Comparison]]
+- [[_COMMUNITY_Community 15|Community 15]]
+- [[_COMMUNITY_Community 16|Community 16]]
+- [[_COMMUNITY_Community 17|Community 17]]
+- [[_COMMUNITY_Community 18|Community 18]]
+- [[_COMMUNITY_Community 19|Community 19]]
+- [[_COMMUNITY_Community 20|Community 20]]
+- [[_COMMUNITY_Community 21|Community 21]]
+- [[_COMMUNITY_Community 22|Community 22]]
+- [[_COMMUNITY_Community 23|Community 23]]
+- [[_COMMUNITY_Community 24|Community 24]]
+- [[_COMMUNITY_Community 25|Community 25]]
+- [[_COMMUNITY_Community 26|Community 26]]
+- [[_COMMUNITY_Community 27|Community 27]]
+- [[_COMMUNITY_Community 28|Community 28]]
+- [[_COMMUNITY_Community 29|Community 29]]
+- [[_COMMUNITY_Community 30|Community 30]]
+- [[_COMMUNITY_Community 31|Community 31]]
+- [[_COMMUNITY_Community 32|Community 32]]
+
+## God Nodes (most connected - your core abstractions)
+1. `ScenarioBase` - 26 edges
+2. `ShenronRadarModel` - 22 edges
+3. `radar` - 20 edges
+4. `RadarProcessor` - 20 edges
+5. `main()` - 20 edges
+6. `run_testbench()` - 12 edges
+7. `Recorder` - 11 edges
+8. `SensorManager` - 11 edges
+9. `BrakingScenario` - 9 edges
+10. `CutInScenario` - 9 edges
+
+## Surprising Connections (you probably didn't know these)
+- `scenarios/showcase.py --------------------- Custom high-impact demo scene: Left` --uses--> `ScenarioBase`  [INFERRED]
+  scenarios\showcase.py → scenarios\base.py
+- `Step 11: Deep Intersection Guidance for Ego.` --uses--> `ScenarioBase`  [INFERRED]
+  scenarios\showcase.py → scenarios\base.py
+- `Step 11: Multi-stage steering logic.` --uses--> `ScenarioBase`  [INFERRED]
+  scenarios\showcase.py → scenarios\base.py
+- `src/scenario_loader.py ---------------------- Dynamic scenario discovery and loa` --uses--> `ScenarioBase`  [INFERRED]
+  src\scenario_loader.py → scenarios\base.py
+- `Discover all scenario modules inside the 'scenarios' package.     Returns a sort` --uses--> `ScenarioBase`  [INFERRED]
+  src\scenario_loader.py → scenarios\base.py
+
+## Communities
+
+### Community 0 - "Scenario Framework & Maneuvers"
+Cohesion: 0.05
+Nodes (18): ABC, scenarios/base.py ----------------- Abstract base class for all CARLA simulati, Return a dict that will be merged into every recorded frame's         metadata, Convenience method: destroy all actors tracked in self._actors.         Call th, Return a waypoint `distance` metres ahead of the ego vehicle.         lane_offs, Abstract interface for all ADAS simulation scenarios.      Lifecycle     ----, Unified 1:1 logging for all scenarios.         This method ensures clean consol, ScenarioBase (+10 more)
+
+### Community 1 - "Radar Simulation & Processing"
+Cohesion: 0.08
+Nodes (22): radar, Load normalized antenna gain LUTs (dB) from CSV files.          Expected CSV f, class to define the radar object with it's settings and to extract time interval, _get_gpu_info(), main(), process_session(), Retrieve GPU hardware info for telemetry display., Return the raw internal heatmaps and thresholds for the last processed frame. (+14 more)
+
+### Community 2 - "Orchestration & Sensor Management"
+Cohesion: 0.08
+Nodes (13): Called immediately after the ego vehicle is spawned.         Override to react, Allow the orchestrator to inject parameters parsed from CLI.         This maps, main(), parse_args(), src/main.py ----------- Scenario-agnostic orchestrator for the CARLA ADAS simu, SensorManager, scenarios/showcase.py --------------------- Custom high-impact demo scene: Left, Step 11: Deep Intersection Guidance for Ego. (+5 more)
+
+### Community 3 - "Data Recording & Heatmaps"
+Cohesion: 0.09
+Nodes (18): check_save_path(), main(), Stitch captured frames into .mp4 files for easy viewing., Categorise actor into broad ADAS classes., Calculate relative range, azimuth, and closing velocity.         Uses right-han, Helper to convert world location to transform-local location., Helper to save image in a background thread., Recorder (+10 more)
+
+### Community 4 - "Data Conversion Utilities"
+Cohesion: 0.1
+Nodes (14): convert2D_img_func(), convert_sem_lidar_2D_img_func(), main(), converts the 3D radar raw data to 2d range-angle image of dimension 256X256, converts the semantic_lidar data to the range angle 2D image of dimension 256X25, # apply fft on each antenna to get angle profile, cart2polar(), get_range_angle() (+6 more)
+
+### Community 5 - "Web Dashboard & Loader"
+Cohesion: 0.09
+Nodes (16): get_config(), get_scenario_params(), is_simulation_running(), PollingFilter, dashboard/app.py ---------------- Flask backend for the BATL CARLA Orchestrator, Forces all CarlaUE4 processes to terminate., Stops the Flask server itself., Returns True if a scenario process is currently alive. (+8 more)
+
+### Community 6 - "LiDAR & Fast Heatmap Gen"
+Cohesion: 0.11
+Nodes (13): get_gpu_id_most_avlbl_mem(), heatmap_gen(), heatmap_gen(), Cropped_forRadar(), map_carla_semantic_lidar_latest(), Function to map material column in the collected carla ray_cast_shenron to shenr, Removes Occlusions and calculates loss for each point, rotate_points() (+5 more)
+
+### Community 7 - "DSP & CFAR Detection"
+Cohesion: 0.14
+Nodes (8): CA_CFAR, cart2polar(), convert_adc_to_3d_fft(), polar_to_cart(), Description:     ------------         Cell Averaging - Constant False Alarm Ra, Description:         ------------             Performs the automatic detection, Function to convert adc data to RA tensor     Input:          adcData:, convert a polar range angle tensor to cartesian array     Input:          RATe
+
+### Community 8 - "Scene Reconstruction"
+Cohesion: 0.18
+Nodes (8): cart2sph(), get_loss_2(), get_loss_3(), Class with all the functions to modify OSM scenario and thus generate the points, Note: angles should be used for power calculation as it is in reflecting surface, Note: angles should be used for power calculation as it is in reflecting surface, Sceneset, sph2cart()
+
+### Community 9 - "Dashboard Frontend (JS)"
+Cohesion: 0.33
+Nodes (7): appendLog(), chip(), renderShenronTelemetry(), resetIdleTimer(), setLoadingState(), startStream(), updateShenronProgress()
+
+### Community 10 - "MCAP Dataset Conversion"
+Cohesion: 0.31
+Nodes (9): convert_folder(), load_frames(), main(), postprocess_ra(), Refined RA post-processing pipeline for Physical Realism.     Restores the natu, Polar-to-Cartesian scan conversion following FIG / Guide logic.     Converts RA, Convert 2D array to colormapped B64 PNG with guide-compliant normalization., render_heatmap() (+1 more)
+
+### Community 11 - "Radar Signal Detection"
+Cohesion: 0.22
+Nodes (5): CA_CFAR, Description:         ------------             Performs the automatic detection o, Description:     ------------         Cell Averaging - Constant False Alarm Rate, apply range window and doppler window and apply fft on each sample to get range, apply fft on each chirp to get doppler profile
+
+### Community 12 - "Data Quality Inspection"
+Cohesion: 0.33
+Nodes (2): inspect_gt(), load_frame()
+
+### Community 13 - "Deep Metrology Analysis"
+Cohesion: 0.83
+Nodes (3): analyze_iteration(), power_law(), run_metrology_suite()
+
+### Community 14 - "Metrology Comparison"
+Cohesion: 1.0
+Nodes (0): 
+
+### Community 15 - "Community 15"
+Cohesion: 1.0
+Nodes (0): 
+
+### Community 16 - "Community 16"
+Cohesion: 1.0
+Nodes (0): 
+
+### Community 17 - "Community 17"
+Cohesion: 1.0
+Nodes (0): 
+
+### Community 18 - "Community 18"
+Cohesion: 1.0
+Nodes (0): 
+
+### Community 19 - "Community 19"
+Cohesion: 1.0
+Nodes (0): 
+
+### Community 20 - "Community 20"
+Cohesion: 1.0
+Nodes (1): Human-readable scenario identifier (e.g. 'braking').
+
+### Community 21 - "Community 21"
+Cohesion: 1.0
+Nodes (1): Initialise the scenario:           - Store world / ego / tm references.
+
+### Community 22 - "Community 22"
+Cohesion: 1.0
+Nodes (1): Per-tick logic executed inside the main simulation loop.          Parameters
+
+### Community 23 - "Community 23"
+Cohesion: 1.0
+Nodes (1): Destroy all actors spawned by this scenario.         Always call this in a fina
+
+### Community 24 - "Community 24"
+Cohesion: 1.0
+Nodes (1): Override to request a specific weather preset for this scenario.         If Non
+
+### Community 25 - "Community 25"
+Cohesion: 1.0
+Nodes (1): Override to request a specific duration for this scenario.         If None, the
+
+### Community 26 - "Community 26"
+Cohesion: 1.0
+Nodes (1): Override to request a specific spawn point for the ego vehicle.         Returns
+
+### Community 27 - "Community 27"
+Cohesion: 1.0
+Nodes (0): 
+
+### Community 28 - "Community 28"
+Cohesion: 1.0
+Nodes (0): 
+
+### Community 29 - "Community 29"
+Cohesion: 1.0
+Nodes (0): 
+
+### Community 30 - "Community 30"
+Cohesion: 1.0
+Nodes (0): 
+
+### Community 31 - "Community 31"
+Cohesion: 1.0
+Nodes (0): 
+
+### Community 32 - "Community 32"
+Cohesion: 1.0
+Nodes (0): 
+
+## Knowledge Gaps
+- **39 isolated node(s):** `dashboard/app.py ---------------- Flask backend for the BATL CARLA Orchestrator`, `Returns True if a scenario process is currently alive.`, `Forces all CarlaUE4 processes to terminate.`, `Stops the Flask server itself.`, `scenarios/base.py ----------------- Abstract base class for all CARLA simulati` (+34 more)
+  These have ≤1 connection - possible missing edges or undocumented components.
+- **Thin community `Metrology Comparison`** (2 nodes): `analyze_session()`, `compare_metrology.py`
+  Too small to be a meaningful cluster - may be noise or needs more connections extracted.
+- **Thin community `Community 15`** (2 nodes): `get_pos()`, `get_pos.py`
+  Too small to be a meaningful cluster - may be noise or needs more connections extracted.
+- **Thin community `Community 16`** (2 nodes): `track_full_state.py`, `track_full_state()`
+  Too small to be a meaningful cluster - may be noise or needs more connections extracted.
+- **Thin community `Community 17`** (2 nodes): `track_peaks.py`, `get_peak_tracking()`
+  Too small to be a meaningful cluster - may be noise or needs more connections extracted.
+- **Thin community `Community 18`** (2 nodes): `compare_folders()`, `compare_iterations.py`
+  Too small to be a meaningful cluster - may be noise or needs more connections extracted.
+- **Thin community `Community 19`** (2 nodes): `research_metrology()`, `research_metrology.py`
+  Too small to be a meaningful cluster - may be noise or needs more connections extracted.
+- **Thin community `Community 20`** (1 nodes): `Human-readable scenario identifier (e.g. 'braking').`
+  Too small to be a meaningful cluster - may be noise or needs more connections extracted.
+- **Thin community `Community 21`** (1 nodes): `Initialise the scenario:           - Store world / ego / tm references.`
+  Too small to be a meaningful cluster - may be noise or needs more connections extracted.
+- **Thin community `Community 22`** (1 nodes): `Per-tick logic executed inside the main simulation loop.          Parameters`
+  Too small to be a meaningful cluster - may be noise or needs more connections extracted.
+- **Thin community `Community 23`** (1 nodes): `Destroy all actors spawned by this scenario.         Always call this in a fina`
+  Too small to be a meaningful cluster - may be noise or needs more connections extracted.
+- **Thin community `Community 24`** (1 nodes): `Override to request a specific weather preset for this scenario.         If Non`
+  Too small to be a meaningful cluster - may be noise or needs more connections extracted.
+- **Thin community `Community 25`** (1 nodes): `Override to request a specific duration for this scenario.         If None, the`
+  Too small to be a meaningful cluster - may be noise or needs more connections extracted.
+- **Thin community `Community 26`** (1 nodes): `Override to request a specific spawn point for the ego vehicle.         Returns`
+  Too small to be a meaningful cluster - may be noise or needs more connections extracted.
+- **Thin community `Community 27`** (1 nodes): `__init__.py`
+  Too small to be a meaningful cluster - may be noise or needs more connections extracted.
+- **Thin community `Community 28`** (1 nodes): `__init__.py`
+  Too small to be a meaningful cluster - may be noise or needs more connections extracted.
+- **Thin community `Community 29`** (1 nodes): `verify_tags.py`
+  Too small to be a meaningful cluster - may be noise or needs more connections extracted.
+- **Thin community `Community 30`** (1 nodes): `path_config.py`
+  Too small to be a meaningful cluster - may be noise or needs more connections extracted.
+- **Thin community `Community 31`** (1 nodes): `__init__.py`
+  Too small to be a meaningful cluster - may be noise or needs more connections extracted.
+- **Thin community `Community 32`** (1 nodes): `check_lidar.py`
+  Too small to be a meaningful cluster - may be noise or needs more connections extracted.
+
+## Suggested Questions
+_Questions this graph is uniquely positioned to answer:_
+
+- **Why does `main()` connect `Orchestration & Sensor Management` to `Scenario Framework & Maneuvers`, `Radar Simulation & Processing`, `Data Recording & Heatmaps`, `Web Dashboard & Loader`, `MCAP Dataset Conversion`?**
+  _High betweenness centrality (0.263) - this node is a cross-community bridge._
+- **Why does `ShenronRadarModel` connect `Radar Simulation & Processing` to `Data Recording & Heatmaps`?**
+  _High betweenness centrality (0.179) - this node is a cross-community bridge._
+- **Why does `ScenarioBase` connect `Scenario Framework & Maneuvers` to `Orchestration & Sensor Management`, `Web Dashboard & Loader`?**
+  _High betweenness centrality (0.122) - this node is a cross-community bridge._
+- **Are the 16 inferred relationships involving `ScenarioBase` (e.g. with `BrakingScenario` and `scenarios/braking.py -------------------- Lead Vehicle Hard Braking Scenario.  A`) actually correct?**
+  _`ScenarioBase` has 16 INFERRED edges - model-reasoned connections that need verification._
+- **Are the 15 inferred relationships involving `ShenronRadarModel` (e.g. with `Retrieve GPU hardware info for telemetry display.` and `FastHeatmapEngine`) actually correct?**
+  _`ShenronRadarModel` has 15 INFERRED edges - model-reasoned connections that need verification._
+- **Are the 15 inferred relationships involving `radar` (e.g. with `ShenronRadarModel` and `Initialize the Shenron Radar Model.                  Args:             radar_`) actually correct?**
+  _`radar` has 15 INFERRED edges - model-reasoned connections that need verification._
+- **Are the 14 inferred relationships involving `RadarProcessor` (e.g. with `ShenronRadarModel` and `Initialize the Shenron Radar Model.                  Args:             radar_`) actually correct?**
+  _`RadarProcessor` has 14 INFERRED edges - model-reasoned connections that need verification._