add dashboard

This commit is contained in:
Florian Bezannier
2020-12-18 16:58:51 +01:00
parent fdeba33685
commit cd58a9c55a
7 changed files with 334 additions and 99 deletions
+4 -1
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@@ -9,6 +9,7 @@ from MyPSACC import MyPSACC
from MyLogger import logger
from psa_connectedcar.rest import ApiException
class ChargeControls:
def __init__(self):
@@ -121,4 +122,6 @@ class ChargeControl:
chd = copy(self.__dict__)
chd.pop("psacc")
chd.pop("thread")
return chd
return chd
+45 -2
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@@ -1,5 +1,6 @@
import json
import re
import sqlite3
import traceback
import uuid
from copy import copy
@@ -12,13 +13,17 @@ from time import sleep
from oauth2_client.credentials_manager import CredentialManager, ServiceInformation
import paho.mqtt.client as mqtt
from requests import Response
from typing import List
import psa_connectedcar as psac
from Trips import Trips
from psa_connectedcar import ApiClient
from psa_connectedcar.rest import ApiException
from MyLogger import logger
from threading import Semaphore, Timer
from functools import wraps
from web.figures import convert_datetime
oauhth_url = {"clientsB2CPeugeot":"https://idpcvs.peugeot.com/am/oauth2/access_token",
"clientsB2CCitroen":"https://idpcvs.citroen.com/am/oauth2/access_token",
@@ -419,7 +424,8 @@ class MyPSACC:
finally:
conn.close()
def get_recorded_position(self):
@staticmethod
def get_recorded_position():
import sqlite3
from geojson import Feature, Point, FeatureCollection
from geojson import dumps as geo_dumps
@@ -435,6 +441,41 @@ class MyPSACC:
feature_collection = FeatureCollection(features_list)
return geo_dumps(feature_collection, sort_keys=True)
@staticmethod
def get_trips() -> List[Trips]:
sqlite3.register_converter("DATETIME", convert_datetime)
conn = sqlite3.connect('info.db', detect_types=sqlite3.PARSE_DECLTYPES | sqlite3.PARSE_COLNAMES)
conn.row_factory = sqlite3.Row
res = conn.execute('SELECT * FROM position ORDER BY Timestamp').fetchall()
start = res[0]
end = res[1]
trips = []
tr = Trips()
battery_power = 46
for next_el in res[2:]:
distance = next_el["mileage"] - end["mileage"] # km
if distance == 0:
tr.distance = end["mileage"] - start["mileage"] # km
if tr.distance > 0:
tr.start_at = start["Timestamp"]
tr.end_at = end["Timestamp"]
tr.add_points(end["longitude"], end["latitude"])
tr.duration = (end["Timestamp"] - start["Timestamp"]).total_seconds() / 3600
tr.speed_average = tr.distance / tr.duration
print(start["level"] - end["level"])
tr.consumption = (start["level"] - end["level"]) / 100 * battery_power # kw
tr.consumption_km = 100 * tr.consumption / tr.distance # kw/100 km
print(
f"{start['Timestamp']} {tr.distance:.1f}km {tr.duration:.2f}h {tr.speed_average:.2f} km/h {tr.consumption:.2f} kw {tr.consumption_km:.2f}kw/100km")
trips.append(tr)
start = next_el
tr = Trips()
else:
tr.add_points(end["longitude"], end["latitude"])
end = next_el
return trips
class MyPeugeotEncoder(JSONEncoder):
def default(self, mp: MyPSACC):
data = copy(mp.__dict__)
@@ -442,6 +483,8 @@ class MyPeugeotEncoder(JSONEncoder):
mpd["proxies"] = data["_proxies"]
mpd["refresh_token"] = mp.manager.refresh_token
mpd["client_secret"] = mp.service_information.client_secret
for el in ["client_id", "realm", "remote_refresh_token","customer_id"]:
for el in ["client_id", "realm", "remote_refresh_token", "customer_id"]:
mpd[el] = data[el]
return mpd
+25
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@@ -0,0 +1,25 @@
from typing import List
class Points():
def __init__(self, latitude, longitude):
self.latitude = latitude
self.longitude = longitude
class Trips:
def __init__(self):
self.start_at = None
self.end_at = None
self.positions: List[Points] = []
self.speed_average = None
self.consumption = None
self.consumption_km = None
def add_points(self, longitude, latitude):
self.positions.append(Points(longitude, latitude))
def get_consumption(self):
return {
'date': self.start_at,
'consumption': self.consumption_km,
}
+16 -5
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@@ -1,8 +1,19 @@
oauth2_client
Flask
certifi
urllib3
six
requests
Flask>=1.1.1
certifi>=2018.4.16
urllib3>=1.25.10
six>=1.15.0
requests>=2.24.0
paho_mqtt
python_dateutil
paho-mqtt>=1.5.0
dash>=1.18.1
numpy>=1.19.4
pytz>=2019.3
plotly>=4.5.0
typing>=3.6.6
python-dateutil>=2.8.0
pandas>=1.1.3
argparse>=1.4.0
androguard>=3.3.5
+14 -91
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@@ -1,91 +1,15 @@
#!/usr/bin/env python3
import sys
import threading
from threading import Thread
from oauth2_client.credentials_manager import OAuthError
from ChargeControl import ChargeControls
from MyLogger import my_logger
from MyPSACC import *
from flask import Flask, request, jsonify
from flask import Response as FlaskResponse
import argparse
from MyLogger import logger
from MyPSACC import MyPSACC
from web.app import app, save_config
parser = argparse.ArgumentParser()
app = Flask(__name__)
@app.route('/getvehicles')
def getvehicules():
return jsonify(myp.getVIN())
@app.route('/get_vehicleinfo/<string:vin>')
def get_vehicle_Info(vin):
response = app.response_class(
response=json.dumps(myp.get_vehicle_info(vin).to_dict(), default=str),
status=200,
mimetype='application/json'
)
return response
@app.route('/charge_now/<string:vin>/<int:charge>')
def charge_now(vin, charge):
return jsonify(myp.charge_now(vin, charge != 0))
@app.route('/charge_hour')
def change_charge_hour():
return jsonify(myp.change_charge_hour(request.form['vin'], request.form['hour'], request.form['minute']))
@app.route('/wakeup/<string:vin>')
def wakeup(vin):
return jsonify(myp.wakeup(vin))
@app.route('/preconditioning/<string:vin>/<int:activate>')
def preconditioning(vin, activate):
return jsonify(myp.preconditioning(vin, activate))
@app.route('/position/<string:vin>')
def get_position(vin):
res = myp.get_vehicle_info(vin)
longitude, latitude = res.last_position.geometry.coordinates
return jsonify({"longitude":longitude,"latitude":latitude,"url":f"http://maps.google.com/maps?q={latitude},{longitude}"})
def save_config(mypeugeot: MyPSACC):
myp.save_config()
threading.Timer(30, save_config, args=[mypeugeot]).start()
# Set a battery threshold and schedule an hour to stop the charge
@app.route('/charge_control')
def charge_control():
logger.info(request)
vin = request.args['vin']
charge_control = chc.get(vin)
if charge_control is None:
return jsonify("error: VIN not in list")
if 'hour' in request.args or 'minute' in request.args:
charge_control.set_stop_hour([int(request.args["hour"]), int(request.args["minute"])])
if 'percentage' in request.args:
charge_control.percentage_threshold = int(request.args['percentage'])
chc.save_config()
return jsonify(charge_control.get_dict())
@app.route('/positions')
def get_recorded_position():
return FlaskResponse(myp.get_recorded_position(), mimetype='application/json')
@app.after_request
def after_request(response):
header = response.headers
header['Access-Control-Allow-Origin'] = '*'
return response
def parse_args():
parser = argparse.ArgumentParser()
@@ -110,30 +34,29 @@ if __name__ == "__main__":
my_logger(handler_level=args.debug)
logger.info("server start")
if args.config:
myp = MyPSACC.load_config(name=args.config.name)
app.myp = MyPSACC.load_config(name=args.config.name)
else:
myp = MyPSACC.load_config()
app.myp = MyPSACC.load_config()
if args.record_position:
myp.set_record(True)
app.myp.set_record(True)
try:
myp.manager._refresh_token()
app.myp.manager._refresh_token()
except OAuthError:
if args.mail and args.password:
client_email = args.mail
client_paswword = args.password
client_password = args.password
else:
client_email = input("mypeugeot email: ")
client_paswword = input("mypeugeot password: ")
myp.connect(client_email, client_paswword)
logger.info(myp.get_vehicles())
client_password = input("mypeugeot password: ")
app.myp.connect(client_email, client_password)
logger.info(app.myp.get_vehicles())
t1 = Thread(target=app.run,kwargs={"host":args.listen,"port":int(args.port)})
t1.start()
if args.remote_disable:
logger.info("mqtt disabled")
else:
myp.start_mqtt()
app.myp.start_mqtt()
if args.charge_control:
chc = ChargeControls.load_config(myp, name=args.charge_control)
chc.start()
save_config(myp)
app.chc = ChargeControls.load_config(app.myp, name=args.charge_control)
app.chc.start()
save_config(app.myp)
+150
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@@ -0,0 +1,150 @@
import json
import threading
from datetime import datetime, timezone
import dash
import dash_bootstrap_components as dbc
from dash.dependencies import Output, Input
import dash_core_components as dcc
import dash_html_components as html
from MyLogger import logger
from flask import jsonify, request, Response as FlaskResponse
from web import figures
from MyPSACC import MyPSACC
dash_app = dash.Dash(external_stylesheets=[dbc.themes.BOOTSTRAP])
app = dash_app.server
myp = None
chc = None
@dash_app.callback(Output('trips_map', 'figure'),
Output('consumption_fig', 'figure'),
Output('consumption_fig_by_speed', 'figure'),
Output('consumption', 'children'),
Input('date-slider', 'value'))
def display_value(value):
min = datetime.fromtimestamp(value[0], tz=timezone.utc)
max = datetime.fromtimestamp(value[1], tz=timezone.utc)
filtered_trips = []
for trip in trips:
if min <= trip.start_at <= max:
filtered_trips.append(trip)
print(len(filtered_trips))
figures.get_figures(filtered_trips)
consumption = "Average consumption: {:.1f} kW/100km".format(float(figures.consumption_df.mean()))
return figures.trips_map, figures.consumption_fig, figures.consumption_fig_by_speed, consumption
@app.route('/getvehicles')
def getvehicules():
return jsonify(myp.getVIN())
@app.route('/get_vehicleinfo/<string:vin>')
def get_vehicle_Info(vin):
response = app.response_class(
response=json.dumps(myp.get_vehicle_info(vin).to_dict(), default=str),
status=200,
mimetype='application/json'
)
return response
@app.route('/charge_now/<string:vin>/<int:charge>')
def charge_now(vin, charge):
return jsonify(myp.charge_now(vin, charge != 0))
@app.route('/charge_hour')
def change_charge_hour():
return jsonify(myp.change_charge_hour(request.form['vin'], request.form['hour'], request.form['minute']))
@app.route('/wakeup/<string:vin>')
def wakeup(vin):
return jsonify(myp.wakeup(vin))
@app.route('/preconditioning/<string:vin>/<int:activate>')
def preconditioning(vin, activate):
return jsonify(myp.preconditioning(vin, activate))
@app.route('/position/<string:vin>')
def get_position(vin):
res = myp.get_vehicle_info(vin)
longitude, latitude = res.last_position.geometry.coordinates
return jsonify(
{"longitude": longitude, "latitude": latitude, "url": f"http://maps.google.com/maps?q={latitude},{longitude}"})
# Set a battery threshold and schedule an hour to stop the charge
@app.route('/charge_control')
def charge_control():
logger.info(request)
vin = request.args['vin']
charge_control = chc.get(vin)
if charge_control is None:
return jsonify("error: VIN not in list")
if 'hour' in request.args or 'minute' in request.args:
charge_control.set_stop_hour([int(request.args["hour"]), int(request.args["minute"])])
if 'percentage' in request.args:
charge_control.percentage_threshold = int(request.args['percentage'])
save_config()
return jsonify(charge_control.get_dict())
@app.route('/positions')
def get_recorded_position():
return FlaskResponse(myp.get_recorded_position(), mimetype='application/json')
@app.after_request
def after_request(response):
header = response.headers
header['Access-Control-Allow-Origin'] = '*'
return response
def save_config(my_peugeot: MyPSACC):
my_peugeot.save_config()
threading.Timer(30, save_config, args=[my_peugeot]).start()
trips = MyPSACC.get_trips()
figures.get_figures(trips)
dash_app.layout = dbc.Container([
html.H1('My car info'),
html.Hr(),
html.Div([
dcc.RangeSlider(
id='date-slider',
min=figures.unix_time_millis(figures.consumption_df["date"].min()),
max=figures.unix_time_millis(figures.consumption_df["date"].max()),
step=None,
marks=figures.get_marks_from_start_end(figures.consumption_df["date"].min(),
figures.consumption_df["date"].max()),
value=[figures.unix_time_millis(figures.consumption_df["date"].min()),
figures.unix_time_millis(figures.consumption_df["date"].max())],
),
html.Div(id='updatemode-output-container', style={'margin-top': 20})
],
style={'margin-left': 20}
),
html.Div([
html.Div([
dcc.Graph(figure=figures.trips_map, id="trips_map")
]),
html.Div([
dcc.Graph(figure=figures.consumption_fig, id="consumption_fig")
]),
html.H2(id="consumption",
children="Average consumption: {:.1f} kW/100km".format(float(figures.consumption_df.mean()))),
html.Div([
dcc.Graph(figure=figures.consumption_fig_by_speed, id="consumption_fig_by_speed")
]),
], id="data-div"),
])
+80
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@@ -0,0 +1,80 @@
from datetime import datetime
from typing import List
import numpy as np
import pytz
from dateutil.relativedelta import relativedelta
from pandas import DataFrame
import plotly.express as px
import plotly.graph_objects as go
from Trips import Trips
def unix_time_millis(dt):
return int(dt.timestamp())
def get_marks_from_start_end(start, end):
nb_marks = 5
result = []
time_delta = int((end - start).total_seconds() / nb_marks)
current = start
if time_delta > 0:
while current <= end:
result.append(current)
current += relativedelta(seconds=time_delta)
result[-1] = end
if time_delta < 3600 * 24:
if time_delta > 3600:
date_f = '%y-%m-%d %Hh'
else:
date_f = '%y-%m-%d %Hh%M'
else:
date_f = '%Y-%m'
marks = {}
for date in result:
marks[unix_time_millis(date)] = str(date.strftime(date_f))
return marks
def convert_datetime(st):
return datetime.strptime(st.decode("utf-8"), "%Y-%m-%d %H:%M:%S+00:00").replace(tzinfo=pytz.UTC)
consumption_fig = None
consumption_df = None
trips_map = None
consumption_fig_by_speed = None
def get_figures(trips: List[Trips]):
global consumption_fig, consumption_df, trips_map, consumption_fig_by_speed
lats = []
lons = []
names = []
for trip in trips:
for points in trip.positions:
lats = np.append(lats, points.longitude)
lons = np.append(lons, points.latitude)
names = np.append(names, [str(trip.start_at)])
lats = np.append(lats, None)
lons = np.append(lons, None)
names = np.append(names, None)
trips_map = px.line_mapbox(lat=lats, lon=lons, hover_name=names,
mapbox_style="stamen-terrain", zoom=12)
consumption_df = DataFrame.from_records([tr.get_consumption() for tr in trips])
consumption_fig = px.line(consumption_df, x="date", y="consumption", title='Consumption of the car')
consum_df_by_speed = DataFrame.from_records(
[{"speed": tr.speed_average, "value": tr.consumption_km} for tr in trips])
consumption_fig_by_speed = px.histogram(consum_df_by_speed, x="speed", y="value", histfunc="avg",
title="Consumption by speed")
consumption_fig_by_speed.update_traces(xbins_size=15)
consumption_fig_by_speed.update_layout(bargap=0.1)
consumption_fig_by_speed.add_trace(
go.Scatter(mode="markers", x=consum_df_by_speed["speed"], y=consum_df_by_speed["value"],
name="Trips"))
consumption_fig_by_speed.update_layout(xaxis_title="average Speed km/h", yaxis_title="Consumption kW/100Km")