mirror of
https://github.com/flobz/psa_car_controller.git
synced 2026-08-22 09:26:16 +00:00
216 lines
10 KiB
Python
216 lines
10 KiB
Python
from copy import deepcopy
|
|
from statistics import mean
|
|
|
|
import dash_bootstrap_components as dbc
|
|
from dash import html
|
|
from dash.dash_table import DataTable
|
|
import plotly.express as px
|
|
import plotly.graph_objects as go
|
|
from dash.dash_table.Format import Scheme, Symbol, Format
|
|
from dash.dcc import Graph
|
|
|
|
from libs.car import Car
|
|
from libs.elec_price import ElecPrice
|
|
from trip import Trip
|
|
from web.db import Database
|
|
from web.utils import card_value_div, dash_date_to_datetime
|
|
|
|
# pylint: disable=invalid-name
|
|
ERROR_DIV = dbc.Alert("No data to show, there is probably no trips recorded yet", color="danger")
|
|
PADDING_TOP = {"padding-top": "1em"}
|
|
consumption_fig = ERROR_DIV
|
|
consumption_df = ERROR_DIV
|
|
trips_map = ERROR_DIV
|
|
consumption_fig_by_speed = ERROR_DIV
|
|
consumption_fig_by_temp = ERROR_DIV
|
|
table_fig = ERROR_DIV
|
|
info = ""
|
|
battery_table = ERROR_DIV
|
|
|
|
AVG_CHARGE_SPEED = "avg_chg_speed"
|
|
AVG_EMISSION_KM = "avg_emission_km"
|
|
AVG_EMISSION_KW = "avg_emission_kw"
|
|
ELEC_CONSUM_KW = "elec_consum_kw"
|
|
ELEC_CONSUM_PRICE = "elec_consum_price"
|
|
AVG_CONSUM_KW = "avg_consum_kw"
|
|
AVG_CONSUM_PRICE = "avg_consum_price"
|
|
|
|
SUMMARY_CARDS = {"Average consumption": {"text": [card_value_div(AVG_CONSUM_KW, "kWh/100km"),
|
|
card_value_div(AVG_CONSUM_PRICE, f"{ElecPrice.currency}/100km")],
|
|
"src": "assets/images/consumption.svg"},
|
|
"Average emission": {"text": [card_value_div(AVG_EMISSION_KM, " g/km"),
|
|
card_value_div(AVG_EMISSION_KW, "g/kWh")],
|
|
"src": "assets/images/pollution.svg"},
|
|
"Average charge speed": {"text": [card_value_div(AVG_CHARGE_SPEED, " kW")],
|
|
"src": "assets/images/battery-charge-line.svg"},
|
|
"Electricity consumption": {"text": [card_value_div(ELEC_CONSUM_KW, "kWh"),
|
|
card_value_div(ELEC_CONSUM_PRICE, ElecPrice.currency)],
|
|
"src": "assets/images/electricity bill.svg"}
|
|
}
|
|
|
|
|
|
# pylint: disable=too-many-locals
|
|
def get_figures(car: Car):
|
|
global consumption_fig, consumption_df, trips_map, consumption_fig_by_speed, table_fig, info, \
|
|
battery_table, consumption_fig_by_temp
|
|
lats = [42, 41]
|
|
lons = [1, 2]
|
|
names = ["undefined", "undefined"]
|
|
trips_map = px.line_mapbox(lat=lats, lon=lons, hover_name=names, zoom=12, mapbox_style="style.json")
|
|
trips_map.add_trace(go.Scattermapbox(
|
|
mode="markers",
|
|
marker={"symbol": "marker", "size": 20},
|
|
lon=[lons[0]], lat=[lats[0]],
|
|
showlegend=False, name="Last Position"))
|
|
# table
|
|
nb_format = Format(precision=2, scheme=Scheme.fixed, symbol=Symbol.yes) # pylint: disable=no-member
|
|
style_cell_conditional = []
|
|
if car.is_electric():
|
|
style_cell_conditional.append({'if': {'column_id': 'consumption_fuel_km', }, 'display': 'None', })
|
|
if car.is_thermal():
|
|
style_cell_conditional.append({'if': {'column_id': 'consumption_km', }, 'display': 'None', })
|
|
table_fig = DataTable(
|
|
id='trips-table',
|
|
sort_action='custom',
|
|
sort_by=[{'column_id': 'id', 'direction': 'desc'}],
|
|
columns=[{'id': 'id', 'name': '#', 'type': 'numeric'},
|
|
{'id': 'start_at_str', 'name': 'start at', 'type': 'datetime'},
|
|
{'id': 'duration', 'name': 'duration', 'type': 'numeric',
|
|
'format': deepcopy(nb_format).symbol_suffix(" min").precision(0)},
|
|
{'id': 'speed_average', 'name': 'average speed', 'type': 'numeric',
|
|
'format': deepcopy(nb_format).symbol_suffix(" km/h").precision(0)},
|
|
{'id': 'consumption_km', 'name': 'average consumption', 'type': 'numeric',
|
|
'format': deepcopy(nb_format).symbol_suffix(" kWh/100km")},
|
|
{'id': 'consumption_fuel_km', 'name': 'average consumption fuel', 'type': 'numeric',
|
|
'format': deepcopy(nb_format).symbol_suffix(" L/100km")},
|
|
{'id': 'distance', 'name': 'distance', 'type': 'numeric',
|
|
'format': nb_format.symbol_suffix(" km").precision(1)},
|
|
{'id': 'mileage', 'name': 'mileage', 'type': 'numeric',
|
|
'format': nb_format},
|
|
{'id': 'altitude_diff', 'name': 'Altitude diff', 'type': 'numeric',
|
|
'format': deepcopy(nb_format).symbol_suffix(" m").precision(0)}
|
|
],
|
|
style_data_conditional=[
|
|
{
|
|
'if': {'column_id': ['altitude_diff']},
|
|
'color': 'dodgerblue',
|
|
"text-decoration": "underline"
|
|
}
|
|
],
|
|
style_cell_conditional=style_cell_conditional,
|
|
data=[],
|
|
page_size=50
|
|
)
|
|
# consumption_fig
|
|
consumption_fig = px.histogram(x=[0], y=[1], title='Consumption of the car',
|
|
histfunc="avg")
|
|
consumption_fig.update_layout(yaxis_title="Consumption kWh/100Km", xaxis_title="date")
|
|
|
|
consumption_fig_by_speed = px.histogram(data_frame=[{"start_at": 1, "speed_average": 2}], x="start_at",
|
|
y="speed_average", histfunc="avg",
|
|
title="Consumption by speed")
|
|
consumption_fig_by_speed.update_traces(xbins_size=15)
|
|
consumption_fig_by_speed.update_layout(bargap=0.05)
|
|
consumption_fig_by_speed.add_trace(go.Scatter(mode="markers", x=[0],
|
|
y=[0], name="Trips"))
|
|
consumption_fig_by_speed.update_layout(xaxis_title="average Speed km/h", yaxis_title="Consumption kWh/100Km")
|
|
|
|
# battery_table
|
|
battery_table = DataTable(
|
|
id='battery-table',
|
|
sort_action='custom',
|
|
sort_by=[{'column_id': 'start_at_str', 'direction': 'desc'}],
|
|
columns=[{'id': 'start_at_str', 'name': 'start at', 'type': 'datetime'},
|
|
{'id': 'stop_at_str', 'name': 'stop at', 'type': 'datetime'},
|
|
{'id': 'start_level', 'name': 'start level', 'type': 'numeric'},
|
|
{'id': 'end_level', 'name': 'end level', 'type': 'numeric'},
|
|
{'id': 'co2', 'name': 'CO2', 'type': 'numeric',
|
|
'format': deepcopy(nb_format).symbol_suffix(" g/kWh").precision(1)},
|
|
{'id': 'kw', 'name': 'consumption', 'type': 'numeric',
|
|
'format': deepcopy(nb_format).symbol_suffix(" kWh").precision(2)},
|
|
{'id': 'price', 'name': 'price', 'type': 'numeric',
|
|
'format': deepcopy(nb_format).symbol_suffix(" " + ElecPrice.currency).precision(2), 'editable': True}
|
|
],
|
|
data=[],
|
|
style_data_conditional=[
|
|
{
|
|
'if': {'column_id': ['start_level', "end_level"]},
|
|
'color': 'dodgerblue',
|
|
"text-decoration": "underline"
|
|
},
|
|
{
|
|
'if': {'column_id': 'price'},
|
|
'backgroundColor': '#ABE2FB'
|
|
}
|
|
],
|
|
)
|
|
consumption_fig_by_temp = px.histogram(x=[0], y=[0],
|
|
histfunc="avg", title="Consumption by temperature")
|
|
consumption_fig_by_temp.update_traces(xbins_size=2)
|
|
consumption_fig_by_temp.update_layout(bargap=0.05)
|
|
consumption_fig_by_temp.add_trace(
|
|
go.Scatter(mode="markers", x=[0],
|
|
y=[0], name="Trips"))
|
|
consumption_fig_by_temp.update_layout(xaxis_title="average temperature in °C",
|
|
yaxis_title="Consumption kWh/100Km")
|
|
return True
|
|
|
|
|
|
def get_battery_curve_fig(row: dict, car: Car):
|
|
start_date = dash_date_to_datetime(row["start_at"])
|
|
stop_at = dash_date_to_datetime(row["stop_at"])
|
|
conn = Database.get_db()
|
|
res = Database.get_battery_curve(conn, start_date, stop_at, car.vin)
|
|
conn.close()
|
|
battery_curves = []
|
|
if len(res) > 0:
|
|
battery_capacity = res[-1]["level"] * car.battery_power / 100
|
|
km_by_kw = 0.8 * res[-1]["autonomy"] / battery_capacity
|
|
start = 0
|
|
speeds = []
|
|
|
|
def speed_in_kw_from_km(row):
|
|
try:
|
|
speed = row["rate"] / km_by_kw
|
|
if speed > 0:
|
|
speeds.append(speed)
|
|
except (KeyError, TypeError):
|
|
pass
|
|
|
|
for end in range(1, len(res)):
|
|
start_level = res[start]["level"]
|
|
end_level = res[end]["level"]
|
|
diff_level = end_level - start_level
|
|
diff_sec = (res[end]["date"] - res[start]["date"]).total_seconds()
|
|
speed_in_kw_from_km(res[end - 1])
|
|
if diff_sec > 0 and diff_level > 3:
|
|
speed_in_kw_from_km(res[end])
|
|
speed = car.get_charge_speed(diff_level, diff_sec)
|
|
if len(speeds) > 0:
|
|
speed = mean([*speeds, speed])
|
|
speed = round(speed * 2) / 2
|
|
battery_curves.append({"level": start_level, "speed": speed})
|
|
start = end
|
|
speeds = []
|
|
battery_curves.append({"level": row["end_level"], "speed": 0})
|
|
else:
|
|
speed = car.get_charge_speed(row["end_level"]-row["start_level"], (stop_at-start_date).total_seconds())
|
|
battery_curves.append({"level": row["start_level"], "speed": speed})
|
|
battery_curves.append({"level": row["end_level"], "speed": speed})
|
|
fig = px.line(battery_curves, x="level", y="speed")
|
|
fig.update_layout(xaxis_title="Battery %", yaxis_title="Charging speed in kW")
|
|
return html.Div(Graph(figure=fig))
|
|
|
|
|
|
def get_altitude_fig(trip: Trip):
|
|
conn = Database.get_db()
|
|
res = list(map(list, conn.execute("SELECT mileage, altitude FROM position WHERE Timestamp>=? and Timestamp<=?;",
|
|
(trip.start_at, trip.end_at)).fetchall()))
|
|
start_mileage = res[0][0]
|
|
for line in res:
|
|
line[0] = line[0] - start_mileage
|
|
fig = px.line(res, x=0, y=1)
|
|
fig.update_layout(xaxis_title="Distance km", yaxis_title="Altitude m")
|
|
conn.close()
|
|
return html.Div(Graph(figure=fig))
|