chasemapper/chasemapper.py

246 wiersze
8.1 KiB
Python
Czysty Zwykły widok Historia

#!/usr/bin/env python2.7
#
# Project Horus - Browser-Based Chase Mapper
#
# Copyright (C) 2018 Mark Jessop <vk5qi@rfhead.net>
# Released under GNU GPL v3 or later
#
import json
import flask
from flask_socketio import SocketIO
import time
from datetime import datetime
from dateutil.parser import parse
from horuslib import *
from horuslib.geometry import *
from horuslib.atmosphere import time_to_landing
from horuslib.listener import OziListener, UDPListener
from horuslib.earthmaths import *
# Define Flask Application, and allow automatic reloading of templates for dev work
app = flask.Flask(__name__)
app.config['SECRET_KEY'] = 'secret!'
app.config['TEMPLATES_AUTO_RELOAD'] = True
app.jinja_env.auto_reload = True
# SocketIO instance
socketio = SocketIO(app)
# Global stores of data.
chasemapper_config = {
# Start location for the map (until either a chase car position, or balloon position is available.)
'default_lat': -34.9,
'default_lon': 138.6,
# Predictor settings
'pred_enabled': True, # Enable running and display of predicted flight paths.
# Default prediction settings (actual values will be used once the flight is underway)
'pred_asc_rate': 5.0,
'pred_desc_rate': 6.0,
'pred_burst': 28000,
'show_abort': True # Show a prediction of an 'abort' paths (i.e. if the balloon bursts *now*)
}
# Payload data Stores
current_payloads = {} # Archive data which will be passed to the web client
current_payload_tracks = {} # Store of payload Track objects which are used to calculate instantaneous parameters.
# Chase car position
car_track = GenericTrack()
#
# Flask Routes
#
@app.route("/")
def flask_index():
""" Render main index page """
return flask.render_template('index.html')
@app.route("/get_telemetry_archive")
def flask_get_telemetry_archive():
return json.dumps(current_payloads)
@app.route("/get_config")
def flask_get_config():
return json.dumps(chasemapper_config)
def flask_emit_event(event_name="none", data={}):
""" Emit a socketio event to any clients. """
socketio.emit(event_name, data, namespace='/chasemapper')
def handle_new_payload_position(data):
_lat = data['lat']
_lon = data['lon']
_alt = data['alt']
_time_dt = data['time_dt']
_callsign = data['callsign']
_short_time = _time_dt.strftime("%H:%M:%S")
if _callsign not in current_payloads:
# New callsign! Create entries in data stores.
current_payload_tracks[_callsign] = GenericTrack()
current_payloads[_callsign] = {
'telem': {'callsign': _callsign, 'position':[_lat, _lon, _alt], 'vel_v':0.0, 'speed':0.0, 'short_time':_short_time, 'time_to_landing':""},
'path': [],
'pred_path': [],
'pred_landing': [],
'abort_path': [],
'abort_landing': []
}
# Add new data into the payload's track, and get the latest ascent rate.
current_payload_tracks[_callsign].add_telemetry({'time': _time_dt, 'lat':_lat, 'lon': _lon, 'alt':_alt, 'comment':_callsign})
_state = current_payload_tracks[_callsign].get_latest_state()
if _state != None:
_vel_v = _state['ascent_rate']
_speed = _state['speed']
# If this payload is in descent, calculate the time to landing.
if _vel_v < 0.0:
# Try and get the altitude of the chase car - we use this as the expected 'ground' level.
_car_state = car_track.get_latest_state()
if _car_state != None:
_ground_asl = _car_state['alt']
else:
_ground_asl = 0.0
# Calculate
_ttl = time_to_landing(_alt, _vel_v, ground_asl=_ground_asl)
if _ttl is None:
_ttl = ""
elif _ttl == 0:
_ttl = "LANDED"
else:
_min = _ttl // 60
_sec = _ttl % 60
_ttl = "%02d:%02d" % (_min,_sec)
else:
_ttl = ""
else:
_vel_v = 0.0
_ttl = ""
# Now update the main telemetry store.
current_payloads[_callsign]['telem'] = {
'callsign': _callsign,
'position':[_lat, _lon, _alt],
'vel_v':_vel_v,
'speed':_speed,
'short_time':_short_time,
'time_to_landing': _ttl}
current_payloads[_callsign]['path'].append([_lat, _lon, _alt])
# Update the web client.
flask_emit_event('telemetry_event', current_payloads[_callsign]['telem'])
def udp_listener_summary_callback(data):
''' Handle a Payload Summary Message from UDPListener '''
global current_payloads, current_payload_tracks
# Extract the fields we need.
print("SUMMARY:" + str(data))
# Convert to something generic we can pass onwards.
output = {}
output['lat'] = data['latitude']
output['lon'] = data['longitude']
output['alt'] = data['altitude']
output['callsign'] = "Payload" # data['callsign'] # Quick hack to limit to a single balloon
# Process the 'short time' value if we have been provided it.
if 'time' in data.keys():
_full_time = datetime.utcnow().strftime("%Y-%m-%dT") + data['time'] + "Z"
output['time_dt'] = parse(_full_time)
else:
# Otherwise use the current UTC time.
output['time_dt'] = datetime.utcnow()
handle_new_payload_position(output)
def udp_listener_car_callback(data):
''' Handle car position data '''
global car_track
print("CAR:" + str(data))
_lat = data['latitude']
_lon = data['longitude']
_alt = data['altitude']
_comment = "CAR"
_time_dt = datetime.utcnow()
_car_position_update = {
'time' : _time_dt,
'lat' : _lat,
'lon' : _lon,
'alt' : _alt,
'comment': _comment
}
car_track.add_telemetry(_car_position_update)
_state = car_track.get_latest_state()
_heading = _state['heading']
# Push the new car position to the web client
flask_emit_event('telemetry_event', {'callsign': 'CAR', 'position':[_lat,_lon,_alt], 'vel_v':0.0, 'heading': _heading})
if __name__ == "__main__":
import argparse
parser = argparse.ArgumentParser()
group = parser.add_mutually_exclusive_group()
parser.add_argument("-p","--port",default=5001,help="Port to run Web Server on.")
group.add_argument("--ozimux", action="store_true", default=False, help="Take payload input via OziMux (listen on port 8942).")
group.add_argument("--summary", action="store_true", default=True, help="Take payload input data via Payload Summary Broadcasts.")
parser.add_argument("--clamp", action="store_false", default=True, help="Clamp all tracks to ground.")
parser.add_argument("--nolabels", action="store_true", default=False, help="Inhibit labels on placemarks.")
parser.add_argument("--predict", action="store_true", help="Enable Flight Path Predictions.")
parser.add_argument("--predict_binary", type=str, default="./pred", help="Location of the CUSF predictor binary. Defaut = ./pred")
parser.add_argument("--burst_alt", type=float, default=30000.0, help="Expected Burst Altitude (m). Default = 30000")
parser.add_argument("--descent_rate", type=float, default=5.0, help="Expected Descent Rate (m/s, positive value). Default = 5.0")
parser.add_argument("--abort", action="store_true", default=False, help="Enable 'Abort' Predictions.")
parser.add_argument("--predict_rate", type=int, default=15, help="Run predictions every X seconds. Default = 15 seconds.")
args = parser.parse_args()
# Start up UDP Broadcast Listener (which we use for car positions even if not for the payload)
if args.summary:
print("Using Payload Summary Messages.")
_broadcast_listener = UDPListener(summary_callback=udp_listener_summary_callback,
gps_callback=udp_listener_car_callback)
else:
_broadcast_listener = UDPListener(summary_callback=None,
gps_callback=udp_listener_car_callback)
_broadcast_listener.start()
# Run the Flask app, which will block until CTRL-C'd.
socketio.run(app, host='0.0.0.0', port=args.port)
# Attempt to close the listener.
_broadcast_listener.close()