mirror of
https://github.com/sunnypilot/sunnypilot.git
synced 2026-09-13 06:33:45 +08:00
feat: mapbox navigation helpers
This commit is contained in:
@@ -21,11 +21,12 @@ env:
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PYTHONWARNINGS: error
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BASE_IMAGE: sunnypilot-base
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AZURE_TOKEN: ${{ secrets.AZURE_COMMADATACI_OPENPILOTCI_TOKEN }}
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MAPBOX_TOKEN_CI: ${{ secrets.MAPBOX_TOKEN_CI }}
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DOCKER_LOGIN: docker login ghcr.io -u ${{ github.actor }} -p ${{ secrets.GITHUB_TOKEN }}
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BUILD: release/ci/docker_build_sp.sh base
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RUN: docker run --shm-size 2G -v $PWD:/tmp/openpilot -w /tmp/openpilot -e CI=1 -e PYTHONWARNINGS=error -e FILEREADER_CACHE=1 -e PYTHONPATH=/tmp/openpilot -e NUM_JOBS -e JOB_ID -e GITHUB_ACTION -e GITHUB_REF -e GITHUB_HEAD_REF -e GITHUB_SHA -e GITHUB_REPOSITORY -e GITHUB_RUN_ID -v $GITHUB_WORKSPACE/.ci_cache/scons_cache:/tmp/scons_cache -v $GITHUB_WORKSPACE/.ci_cache/comma_download_cache:/tmp/comma_download_cache -v $GITHUB_WORKSPACE/.ci_cache/openpilot_cache:/tmp/openpilot_cache $BASE_IMAGE /bin/bash -c
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RUN: docker run --shm-size 2G -v $PWD:/tmp/openpilot -w /tmp/openpilot -e CI=1 -e PYTHONWARNINGS=error -e FILEREADER_CACHE=1 -e PYTHONPATH=/tmp/openpilot -e NUM_JOBS -e JOB_ID -e GITHUB_ACTION -e GITHUB_REF -e GITHUB_HEAD_REF -e GITHUB_SHA -e GITHUB_REPOSITORY -e GITHUB_RUN_ID -e MAPBOX_TOKEN_CI=$MAPBOX_TOKEN_CI -v $GITHUB_WORKSPACE/.ci_cache/scons_cache:/tmp/scons_cache -v $GITHUB_WORKSPACE/.ci_cache/comma_download_cache:/tmp/comma_download_cache -v $GITHUB_WORKSPACE/.ci_cache/openpilot_cache:/tmp/openpilot_cache $BASE_IMAGE /bin/bash -c
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PYTEST: pytest --continue-on-collection-errors --durations=0 -n logical
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@@ -186,6 +186,11 @@ inline static std::unordered_map<std::string, ParamKeyAttributes> keys = {
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{"ModelManager_LastSyncTime", {CLEAR_ON_MANAGER_START | CLEAR_ON_OFFROAD_TRANSITION, INT, "0"}},
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{"ModelManager_ModelsCache", {PERSISTENT | BACKUP, JSON}},
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// Navigation params
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{"MapboxToken", {PERSISTENT | BACKUP, STRING}},
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{"MapboxSettings", {CLEAR_ON_MANAGER_START, JSON}},
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{"MapboxRoute", {CLEAR_ON_MANAGER_START, STRING}},
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// Neural Network Lateral Control
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{"NeuralNetworkLateralControl", {PERSISTENT | BACKUP, BOOL, "0"}},
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@@ -0,0 +1,5 @@
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# Navigation
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Navigation daemon with Mapbox integration for semi-offline navigation. This module handles route planning, geocoding, and turn-by-turn instructions to support autonomous driving features.
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- `navigation_helpers/`: Mapbox API integration and navigation instructions processing.
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@@ -0,0 +1,106 @@
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import requests
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from urllib.parse import quote
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from openpilot.common.params import Params
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class MapboxIntegration:
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def __init__(self):
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self.params = Params()
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def get_public_token(self) -> str:
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token = str(self.params.get('MapboxToken', return_default=True))
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return token
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def set_destination(self, postvars, current_lon, current_lat, bearing=None) -> tuple[dict, bool]:
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if 'latitude' and 'longitude' in postvars:
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self.nav_confirmed(postvars, current_lon, current_lat, bearing)
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return postvars, True
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addr = postvars['place_name']
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if not addr:
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return postvars, False
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token = self.get_public_token()
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query = f'https://api.mapbox.com/geocoding/v5/mapbox.places/{quote(addr)}.json?access_token={token}&limit=1&proximity={current_lon},{current_lat}'
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try:
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response = requests.get(query, timeout=5)
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if response.status_code == 200:
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features = response.json()['features']
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if features:
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longitude, latitude = features[0]['geometry']['coordinates']
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postvars.update({'latitude': latitude, 'longitude': longitude, 'name': addr})
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self.nav_confirmed(postvars, current_lon, current_lat, bearing)
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return postvars, True
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except requests.RequestException:
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pass # Handle network errors without crashing service
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return postvars, False
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def nav_confirmed(self, postvars, start_lon, start_lat, bearing=None) -> None:
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if not postvars:
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return
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latitude = float(postvars['latitude'])
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longitude = float(postvars['longitude'])
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data: dict = {'navData': {'current': {'latitude': latitude, 'longitude': longitude}, 'route': {}}}
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token = self.get_public_token()
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route_data = self.generate_route(start_lon, start_lat, longitude, latitude, token, bearing)
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if route_data:
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data['navData']['route'] = route_data
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self.params.put('MapboxSettings', data)
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def generate_route(self, start_lon, start_lat, end_lon, end_lat, token, bearing=None) -> dict | None:
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if not token:
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return None
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params = {
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'access_token': token,
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'geometries': 'geojson',
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'steps': 'true',
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'overview': 'full',
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'annotations': 'maxspeed',
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'alternatives': 'false',
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'banner_instructions': 'true',
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}
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if bearing is not None:
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params['bearings'] = f'{int((bearing + 360) % 360):.0f},90;'
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try:
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response = requests.get(f'https://api.mapbox.com/directions/v5/mapbox/driving/{start_lon},{start_lat};{end_lon},{end_lat}', params=params, timeout=5)
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data = response.json() if response.status_code == 200 else {}
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except requests.RequestException:
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return None
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routes = data['routes'] if data else None
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legs = routes[0]['legs'] if routes else None
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if data.get('code') != 'Ok' or not routes or not legs:
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return None
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route = routes[0]
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leg = legs[0]
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steps = [
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{
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'maneuver': step['maneuver']['type'],
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'instruction': step['maneuver']['instruction'],
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'distance': step['distance'],
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'duration': step['duration'],
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'location': {'longitude': step['maneuver']['location'][0], 'latitude': step['maneuver']['location'][1]},
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'modifier': step['maneuver'].get('modifier', 'none'),
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'bannerInstructions': step['bannerInstructions'],
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}
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for step in leg['steps']
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]
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maxspeed = [{'speed': item['speed'], 'unit': item['unit']} for item in leg['annotation']['maxspeed'] if 'speed' in item]
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return {
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'steps': steps,
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'totalDistance': route['distance'],
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'totalDuration': route['duration'],
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'geometry': [{'longitude': coord[0], 'latitude': coord[1]} for coord in route['geometry']['coordinates']],
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'maxspeed': maxspeed,
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}
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@@ -0,0 +1,138 @@
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from openpilot.common.params import Params
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from openpilot.common.constants import CV
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from openpilot.sunnypilot.navd.helpers import Coordinate, string_to_direction
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class NavigationInstructions:
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def __init__(self):
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self.coord = Coordinate(0, 0)
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self.params = Params()
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self._cached_route = None
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self._route_loaded = False
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self._no_route = False
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def get_route_progress(self, current_lat, current_lon) -> dict | None:
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'''Get current position on route and progress information'''
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route = self.get_current_route()
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if not route or not route['geometry'] or not route['steps']:
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return None
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self.coord.latitude = current_lat
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self.coord.longitude = current_lon
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# Find closest point on the route polyline
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closest_idx, min_distance = min(((idx, self.coord.distance_to(coord)) for idx, coord in enumerate(route['geometry'])), key=lambda x: x[1])
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closest_cumulative = route['cumulative_distances'][closest_idx]
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# Find the current step idx: the highest idx where the step location cumulative <= closest_cumulative
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current_step_idx = max((idx for idx, step in enumerate(route['steps']) if step['cumulative_distance'] <= closest_cumulative), default=-1)
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current_step = route['steps'][current_step_idx if current_step_idx >= 0 else 0] if route['steps'] else None
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# Next turn is the next step after current
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next_turn_idx = current_step_idx + 1
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next_turn = route['steps'][next_turn_idx] if 0 <= next_turn_idx < len(route['steps']) else None
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next_turn_distance = max(0, next_turn['cumulative_distance'] - closest_cumulative) if next_turn else None
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current_maxspeed = current_step['maxspeed'] if current_step else None
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distance_to_end_of_step = max(0, current_step['distance'] - (closest_cumulative - current_step['cumulative_distance'])) if current_step else None
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# Calculate total remaining distance and time
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total_distance_remaining: float = max(0, route['total_distance'] - closest_cumulative)
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total_time_remaining: float = 0.0
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if current_step:
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progress_in_step = (closest_cumulative - current_step['cumulative_distance']) / current_step['distance']
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time_left_in_step = (1 - progress_in_step) * current_step['duration']
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total_time_remaining = time_left_in_step + sum(step['duration'] for step in route['steps'][current_step_idx + 1 :])
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all_maneuvers: list = []
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max_maneuvers = 2
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for idx in range(current_step_idx, min(current_step_idx + max_maneuvers, len(route['steps']))):
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step = route['steps'][idx]
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if idx == current_step_idx:
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distance = distance_to_end_of_step
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else:
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distance = step['cumulative_distance'] - closest_cumulative
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all_maneuvers.append({'distance': distance, 'type': step['maneuver'], 'modifier': step['modifier']})
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return {
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'distance_from_route': min_distance,
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'route_position_cumulative': closest_cumulative,
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'current_step': current_step,
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'next_turn': next_turn,
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'distance_to_next_turn': next_turn_distance,
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'route_progress_percent': (closest_cumulative / max(1, route['total_distance'])) * 100,
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'current_maxspeed': current_maxspeed,
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'distance_to_end_of_step': distance_to_end_of_step,
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'total_distance_remaining': total_distance_remaining,
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'total_time_remaining': total_time_remaining,
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'all_maneuvers': all_maneuvers,
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'current_step_idx': current_step_idx,
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}
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def get_current_route(self):
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if self._route_loaded and self._cached_route is not None:
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return self._cached_route
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if self._no_route:
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return None
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param_value = self.params.get('MapboxSettings')
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route = param_value['navData']['route'] if param_value else None
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if not route:
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self._no_route = True
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return None
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steps = []
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geometry = [Coordinate(coord['latitude'], coord['longitude']) for coord in route['geometry']]
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cumulative_distances = [0.0]
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cumulative_distances.extend(cumulative_distances[-1] + geometry[step - 1].distance_to(geometry[step]) for step in range(1, len(geometry)))
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maxspeed = [(speed['speed'], speed['unit']) for speed in route['maxspeed']]
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steps = []
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for step in route['steps']:
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location = Coordinate(step['location']['latitude'], step['location']['longitude'])
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closest_idx = min(range(len(geometry)), key=lambda i: location.distance_to(geometry[i]))
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steps.append({
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'bannerInstructions': step['bannerInstructions'],
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'distance': step['distance'],
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'duration': step['duration'],
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'maneuver': step['maneuver'],
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'location': location,
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'cumulative_distance': cumulative_distances[closest_idx],
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'maxspeed': maxspeed[closest_idx] if closest_idx < len(maxspeed) else None,
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'modifier': string_to_direction(step['modifier']),
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})
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self._cached_route = {
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'steps': steps,
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'total_distance': route['totalDistance'],
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'total_duration': route['totalDuration'],
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'geometry': geometry,
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'cumulative_distances': cumulative_distances,
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'maxspeed': maxspeed,
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}
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self._route_loaded = True
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return self._cached_route
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def clear_route_cache(self):
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self._cached_route = None
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self._route_loaded = False
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self._no_route = False
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def get_upcoming_turn_from_progress(self, progress, current_lat, current_lon) -> str:
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if progress and progress['next_turn']:
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self.coord.latitude = current_lat
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self.coord.longitude = current_lon
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distance = self.coord.distance_to(progress['next_turn']['location'])
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if distance <= 100:
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modifier = progress['next_turn']['modifier']
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if modifier:
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return str(modifier)
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return 'none'
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def get_current_speed_limit_from_progress(self, progress, is_metric: bool) -> int:
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if progress and progress['current_maxspeed']:
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speed, _ = progress['current_maxspeed']
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if is_metric:
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return int(speed)
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else:
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return int(round(speed * CV.KPH_TO_MPH))
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return 0
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@@ -0,0 +1,94 @@
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from openpilot.sunnypilot.navd.navigation_helpers.mapbox_integration import MapboxIntegration
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from openpilot.sunnypilot.navd.navigation_helpers.nav_instructions import NavigationInstructions
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from openpilot.common.constants import CV
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import os
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class TestMapbox:
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@classmethod
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def setup_class(cls):
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cls.mapbox = MapboxIntegration()
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cls.nav = NavigationInstructions()
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token = os.environ.get('MAPBOX_TOKEN_CI')
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if token:
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cls.mapbox.params.put('MapboxToken', token)
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# setup route
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cls.current_lon, cls.current_lat = -119.17557, 34.23305
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cls.mapbox.params.put('MapboxRoute', '740 E Ventura Blvd. Camarillo, CA')
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cls.postvars = {"place_name": cls.mapbox.params.get('MapboxRoute')}
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cls.postvars, cls.valid_addr = cls.mapbox.set_destination(cls.postvars, cls.current_lon, cls.current_lat)
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assert cls.valid_addr
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cls.route = cls.nav.get_current_route()
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assert cls.route is not None
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assert len(cls.route['steps']) > 0
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def test_set_destination(self):
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settings = self.mapbox.params.get('MapboxSettings')
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assert settings is not None
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dest_lat = settings['navData']['current']['latitude']
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dest_lon = settings['navData']['current']['longitude']
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assert dest_lat == self.postvars["latitude"] and dest_lon == self.postvars["longitude"]
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def test_get_route(self):
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assert 'steps' in self.route
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assert 'geometry' in self.route
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assert 'maxspeed' in self.route
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assert 'total_distance' in self.route
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assert 'total_duration' in self.route
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assert len(self.route['steps']) > 0
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assert len(self.route['geometry']) > 0
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assert len(self.route['maxspeed']) > 0
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maxspeed = [(speed, unit) for speed, unit in self.route['maxspeed'] if speed > 0]
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print(f"Maxspeed: {maxspeed}")
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modifiers = [step['modifier'] for step in self.route['steps']]
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print(f"Modifiers: {modifiers}")
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if self.route and 'steps' in self.route:
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for step in self.route['steps']:
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assert 'modifier' in step
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def test_upcoming_turn_detection(self):
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progress = self.nav.get_route_progress(self.current_lat, self.current_lon)
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upcoming = self.nav.get_upcoming_turn_from_progress(progress, self.current_lat, self.current_lon)
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assert isinstance(upcoming, str)
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assert upcoming == 'none'
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if self.route['steps']:
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turn_lat = self.route['steps'][1]['location'].latitude
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turn_lon = self.route['steps'][1]['location'].longitude
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close_lat = turn_lat - 0.0008 # 80 ish meters before turn
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if progress and progress.get('next_turn'):
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expected_turn = progress['next_turn']['modifier']
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upcoming_close = self.nav.get_upcoming_turn_from_progress(progress, close_lat, turn_lon)
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if expected_turn:
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assert upcoming_close == expected_turn == 'right', f"Should detect '{expected_turn}' turn when close to next turn location"
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def test_route_progress_tracking(self):
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# Test route progress tracking
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progress = self.nav.get_route_progress(self.current_lat, self.current_lon)
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print(f"Route progress: {progress}")
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assert progress is not None
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assert 'distance_from_route' in progress
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assert 'next_turn' in progress
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assert 'route_progress_percent' in progress
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assert 'current_maxspeed' in progress
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assert 'total_distance_remaining' in progress
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assert 'total_time_remaining' in progress
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assert 'all_maneuvers' in progress
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assert progress['distance_from_route'] >= 0
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assert 0 <= progress['route_progress_percent'] <= 100
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assert progress['total_distance_remaining'] >= 0
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assert progress['total_time_remaining'] >= 0
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assert isinstance(progress['all_maneuvers'], list)
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# Test speed limit extraction
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speed_limit_metric = self.nav.get_current_speed_limit_from_progress(progress, True)
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speed_limit_imperial = self.nav.get_current_speed_limit_from_progress(progress, False)
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assert isinstance(speed_limit_metric, int)
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assert isinstance(speed_limit_imperial, int)
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expected_metric = int(progress['current_maxspeed'][0])
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expected_imperial = int(round(progress['current_maxspeed'][0] * CV.KPH_TO_MPH))
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assert speed_limit_metric == expected_metric
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assert speed_limit_imperial == expected_imperial
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