FrogAi c736387125 FrogPilot community - Fleet Manager
Credit goes to mike8643!

https: //github.com/mike8643
Co-Authored-By: mike8643 <98910897+mike8643@users.noreply.github.com>
2024-06-01 02:34:35 -07:00

430 lines
15 KiB
Python
Executable File

#!/usr/bin/env python3
import json
import math
import os
import threading
import requests
import cereal.messaging as messaging
from cereal import log
from openpilot.common.api import Api
from openpilot.common.params import Params
from openpilot.common.realtime import Ratekeeper
from openpilot.selfdrive.navd.helpers import (Coordinate, coordinate_from_param,
distance_along_geometry, maxspeed_to_ms,
minimum_distance,
parse_banner_instructions)
from openpilot.common.swaglog import cloudlog
from openpilot.selfdrive.frogpilot.controls.lib.frogpilot_variables import FrogPilotVariables
REROUTE_DISTANCE = 25
MANEUVER_TRANSITION_THRESHOLD = 10
REROUTE_COUNTER_MIN = 3
class RouteEngine:
def __init__(self, sm, pm):
self.sm = sm
self.pm = pm
self.params = Params()
self.params_memory = Params("/dev/shm/params")
# Get last gps position from params
self.last_position = coordinate_from_param("LastGPSPosition", self.params)
self.last_bearing = None
self.gps_ok = False
self.localizer_valid = False
self.nav_destination = None
self.step_idx = None
self.route = None
self.route_geometry = None
self.recompute_backoff = 0
self.recompute_countdown = 0
self.ui_pid = None
self.reroute_counter = 0
self.api = None
self.mapbox_token = None
if "MAPBOX_TOKEN" in os.environ:
self.mapbox_token = os.environ["MAPBOX_TOKEN"]
self.mapbox_host = "https://api.mapbox.com"
elif self.params.get_int("PrimeType") == 0:
self.mapbox_token = self.params.get("MapboxPublicKey", encoding='utf8')
self.mapbox_host = "https://api.mapbox.com"
else:
self.api = Api(self.params.get("DongleId", encoding='utf8'))
self.mapbox_host = "https://maps.comma.ai"
# FrogPilot variables
self.frogpilot_toggles = FrogPilotVariables.toggles
def update(self):
self.sm.update(0)
if self.sm.updated["managerState"]:
ui_pid = [p.pid for p in self.sm["managerState"].processes if p.name == "ui" and p.running]
if ui_pid:
if self.ui_pid and self.ui_pid != ui_pid[0]:
cloudlog.warning("UI restarting, sending route")
threading.Timer(5.0, self.send_route).start()
self.ui_pid = ui_pid[0]
self.update_location()
try:
self.recompute_route()
self.send_instruction()
except Exception:
cloudlog.exception("navd.failed_to_compute")
# Update FrogPilot parameters
if FrogPilotVariables.toggles_updated:
FrogPilotVariables.update_frogpilot_params()
def update_location(self):
location = self.sm['liveLocationKalman']
self.gps_ok = location.gpsOK
self.localizer_valid = (location.status == log.LiveLocationKalman.Status.valid) and location.positionGeodetic.valid
if self.localizer_valid:
self.last_bearing = math.degrees(location.calibratedOrientationNED.value[2])
self.last_position = Coordinate(location.positionGeodetic.value[0], location.positionGeodetic.value[1])
def recompute_route(self):
if self.last_position is None:
return
new_destination = coordinate_from_param("NavDestination", self.params)
if new_destination is None:
self.clear_route()
self.reset_recompute_limits()
return
should_recompute = self.should_recompute()
if new_destination != self.nav_destination:
cloudlog.warning(f"Got new destination from NavDestination param {new_destination}")
should_recompute = True
# Don't recompute when GPS drifts in tunnels
if not self.gps_ok and self.step_idx is not None:
return
if self.recompute_countdown == 0 and should_recompute:
self.recompute_countdown = 2**self.recompute_backoff
self.recompute_backoff = min(6, self.recompute_backoff + 1)
self.calculate_route(new_destination)
self.reroute_counter = 0
else:
self.recompute_countdown = max(0, self.recompute_countdown - 1)
def calculate_route(self, destination):
cloudlog.warning(f"Calculating route {self.last_position} -> {destination}")
self.nav_destination = destination
lang = self.params.get('LanguageSetting', encoding='utf8')
if lang is not None:
lang = lang.replace('main_', '')
token = self.mapbox_token
if token is None:
token = self.api.get_token()
params = {
'access_token': token,
'annotations': 'maxspeed',
'geometries': 'geojson',
'overview': 'full',
'steps': 'true',
'banner_instructions': 'true',
'alternatives': 'false',
'language': lang,
}
# TODO: move waypoints into NavDestination param?
waypoints = self.params.get('NavDestinationWaypoints', encoding='utf8')
waypoint_coords = []
if waypoints is not None and len(waypoints) > 0:
waypoint_coords = json.loads(waypoints)
coords = [
(self.last_position.longitude, self.last_position.latitude),
*waypoint_coords,
(destination.longitude, destination.latitude)
]
params['waypoints'] = f'0;{len(coords)-1}'
if self.last_bearing is not None:
params['bearings'] = f"{(self.last_bearing + 360) % 360:.0f},90" + (';'*(len(coords)-1))
coords_str = ';'.join([f'{lon},{lat}' for lon, lat in coords])
url = self.mapbox_host + '/directions/v5/mapbox/driving-traffic/' + coords_str
try:
resp = requests.get(url, params=params, timeout=10)
if resp.status_code != 200:
cloudlog.event("API request failed", status_code=resp.status_code, text=resp.text, error=True)
resp.raise_for_status()
r = resp.json()
r1 = resp.json()
# Function to remove specified keys recursively unnessary for display
def remove_keys(obj, keys_to_remove):
if isinstance(obj, list):
return [remove_keys(item, keys_to_remove) for item in obj]
elif isinstance(obj, dict):
return {key: remove_keys(value, keys_to_remove) for key, value in obj.items() if key not in keys_to_remove}
else:
return obj
keys_to_remove = ['geometry', 'annotation', 'incidents', 'intersections', 'components', 'sub', 'waypoints']
self.r2 = remove_keys(r1, keys_to_remove)
self.r3 = {}
# Add items for display under "routes"
if 'routes' in self.r2 and len(self.r2['routes']) > 0:
first_route = self.r2['routes'][0]
nav_destination_json = self.params.get('NavDestination')
try:
nav_destination_data = json.loads(nav_destination_json)
place_name = nav_destination_data.get('place_name', 'Default Place Name')
first_route['Destination'] = place_name
first_route['Metric'] = self.params.get_bool("IsMetric")
self.r3['CurrentStep'] = 0
self.r3['uuid'] = self.r2['uuid']
except json.JSONDecodeError as e:
print(f"Error decoding JSON: {e}")
# Save slim json as file
with open('navdirections.json', 'w') as json_file:
json.dump(self.r2, json_file, indent=4)
with open('CurrentStep.json', 'w') as json_file:
json.dump(self.r3, json_file, indent=4)
if len(r['routes']):
self.route = r['routes'][0]['legs'][0]['steps']
self.route_geometry = []
maxspeed_idx = 0
maxspeeds = r['routes'][0]['legs'][0]['annotation']['maxspeed']
# Convert coordinates
for step in self.route:
coords = []
for c in step['geometry']['coordinates']:
coord = Coordinate.from_mapbox_tuple(c)
# Last step does not have maxspeed
if (maxspeed_idx < len(maxspeeds)):
maxspeed = maxspeeds[maxspeed_idx]
if ('unknown' not in maxspeed) and ('none' not in maxspeed):
coord.annotations['maxspeed'] = maxspeed_to_ms(maxspeed)
coords.append(coord)
maxspeed_idx += 1
self.route_geometry.append(coords)
maxspeed_idx -= 1 # Every segment ends with the same coordinate as the start of the next
self.step_idx = 0
else:
cloudlog.warning("Got empty route response")
self.clear_route()
# clear waypoints to avoid a re-route including past waypoints
# TODO: only clear once we're past a waypoint
self.params.remove('NavDestinationWaypoints')
except requests.exceptions.RequestException:
cloudlog.exception("failed to get route")
self.clear_route()
self.send_route()
def send_instruction(self):
msg = messaging.new_message('navInstruction', valid=True)
if self.step_idx is None:
msg.valid = False
self.pm.send('navInstruction', msg)
return
step = self.route[self.step_idx]
geometry = self.route_geometry[self.step_idx]
along_geometry = distance_along_geometry(geometry, self.last_position)
distance_to_maneuver_along_geometry = step['distance'] - along_geometry
# Banner instructions are for the following maneuver step, don't use empty last step
banner_step = step
if not len(banner_step['bannerInstructions']) and self.step_idx == len(self.route) - 1:
banner_step = self.route[max(self.step_idx - 1, 0)]
# Current instruction
msg.navInstruction.maneuverDistance = distance_to_maneuver_along_geometry
instruction = parse_banner_instructions(banner_step['bannerInstructions'], distance_to_maneuver_along_geometry)
if instruction is not None:
for k,v in instruction.items():
setattr(msg.navInstruction, k, v)
# All instructions
maneuvers = []
for i, step_i in enumerate(self.route):
if i < self.step_idx:
distance_to_maneuver = -sum(self.route[j]['distance'] for j in range(i+1, self.step_idx)) - along_geometry
elif i == self.step_idx:
distance_to_maneuver = distance_to_maneuver_along_geometry
else:
distance_to_maneuver = distance_to_maneuver_along_geometry + sum(self.route[j]['distance'] for j in range(self.step_idx+1, i+1))
instruction = parse_banner_instructions(step_i['bannerInstructions'], distance_to_maneuver)
if instruction is None:
continue
maneuver = {'distance': distance_to_maneuver}
if 'maneuverType' in instruction:
maneuver['type'] = instruction['maneuverType']
if 'maneuverModifier' in instruction:
maneuver['modifier'] = instruction['maneuverModifier']
maneuvers.append(maneuver)
msg.navInstruction.allManeuvers = maneuvers
# Compute total remaining time and distance
remaining = 1.0 - along_geometry / max(step['distance'], 1)
total_distance = step['distance'] * remaining
total_time = step['duration'] * remaining
if step['duration_typical'] is None:
total_time_typical = total_time
else:
total_time_typical = step['duration_typical'] * remaining
# Add up totals for future steps
for i in range(self.step_idx + 1, len(self.route)):
total_distance += self.route[i]['distance']
total_time += self.route[i]['duration']
if self.route[i]['duration_typical'] is None:
total_time_typical += self.route[i]['duration']
else:
total_time_typical += self.route[i]['duration_typical']
msg.navInstruction.distanceRemaining = total_distance
msg.navInstruction.timeRemaining = total_time
msg.navInstruction.timeRemainingTypical = total_time_typical
# Speed limit
closest_idx, closest = min(enumerate(geometry), key=lambda p: p[1].distance_to(self.last_position))
if closest_idx > 0:
# If we are not past the closest point, show previous
if along_geometry < distance_along_geometry(geometry, geometry[closest_idx]):
closest = geometry[closest_idx - 1]
if ('maxspeed' in closest.annotations) and self.localizer_valid:
msg.navInstruction.speedLimit = closest.annotations['maxspeed']
# Speed limit sign type
if 'speedLimitSign' in step:
if step['speedLimitSign'] == 'mutcd':
msg.navInstruction.speedLimitSign = log.NavInstruction.SpeedLimitSign.mutcd
elif step['speedLimitSign'] == 'vienna':
msg.navInstruction.speedLimitSign = log.NavInstruction.SpeedLimitSign.vienna
self.pm.send('navInstruction', msg)
# Transition to next route segment
if distance_to_maneuver_along_geometry < -MANEUVER_TRANSITION_THRESHOLD:
if self.step_idx + 1 < len(self.route):
self.step_idx += 1
self.reset_recompute_limits()
# Update the 'CurrentStep' value in the JSON
if 'routes' in self.r2 and len(self.r2['routes']) > 0:
self.r3['CurrentStep'] = self.step_idx
# Write the modified JSON data back to the file
with open('CurrentStep.json', 'w') as json_file:
json.dump(self.r3, json_file, indent=4)
else:
cloudlog.warning("Destination reached")
# Clear route if driving away from destination
dist = self.nav_destination.distance_to(self.last_position)
if dist > REROUTE_DISTANCE:
self.params.remove("NavDestination")
self.clear_route()
frogpilot_plan_send = messaging.new_message('frogpilotNavigation')
frogpilotNavigation = frogpilot_plan_send.frogpilotNavigation
self.pm.send('frogpilotNavigation', frogpilot_plan_send)
def send_route(self):
coords = []
if self.route is not None:
for path in self.route_geometry:
coords += [c.as_dict() for c in path]
msg = messaging.new_message('navRoute', valid=True)
msg.navRoute.coordinates = coords
self.pm.send('navRoute', msg)
def clear_route(self):
self.route = None
self.route_geometry = None
self.step_idx = None
self.nav_destination = None
def reset_recompute_limits(self):
self.recompute_backoff = 0
self.recompute_countdown = 0
def should_recompute(self):
if self.step_idx is None or self.route is None:
return True
# Don't recompute in last segment, assume destination is reached
if self.step_idx == len(self.route) - 1:
return False
# Compute closest distance to all line segments in the current path
min_d = REROUTE_DISTANCE + 1
path = self.route_geometry[self.step_idx]
for i in range(len(path) - 1):
a = path[i]
b = path[i + 1]
if a.distance_to(b) < 1.0:
continue
min_d = min(min_d, minimum_distance(a, b, self.last_position))
if min_d > REROUTE_DISTANCE:
self.reroute_counter += 1
else:
self.reroute_counter = 0
return self.reroute_counter > REROUTE_COUNTER_MIN
# TODO: Check for going wrong way in segment
def main():
pm = messaging.PubMaster(['navInstruction', 'navRoute', 'frogpilotNavigation'])
sm = messaging.SubMaster(['liveLocationKalman', 'managerState'])
rk = Ratekeeper(1.0)
route_engine = RouteEngine(sm, pm)
while True:
route_engine.update()
rk.keep_time()
if __name__ == "__main__":
main()