mirror of
https://github.com/flobz/psa_car_controller.git
synced 2026-08-22 09:26:16 +00:00
117 lines
4.8 KiB
Python
117 lines
4.8 KiB
Python
from copy import deepcopy
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from typing import List
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import dash_bootstrap_components as dbc
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import dash_table
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import numpy as np
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from dash_table.Format import Format, Scheme, Symbol
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from dateutil.relativedelta import relativedelta
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from pandas import DataFrame
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import plotly.express as px
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import plotly.graph_objects as go
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from Trip import Trip
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from pandas import options as pandas_options
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import dash_html_components as html
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def unix_time_millis(dt):
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return int(dt.timestamp())
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def get_marks_from_start_end(start, end):
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nb_marks = 10
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result = []
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time_delta = int((end - start).total_seconds() / nb_marks)
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current = start
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if time_delta > 0:
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while current <= end:
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result.append(current)
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current += relativedelta(seconds=time_delta)
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result[-1] = end
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if time_delta < 3600 * 24:
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if time_delta > 3600:
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date_f = '%x %Hh'
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else:
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date_f = '%x %Hh%M'
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else:
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date_f = '%x'
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marks = {}
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for date in result:
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marks[unix_time_millis(date)] = str(date.strftime(date_f))
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return marks
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consumption_fig = None
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consumption_df = None
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trips_map = None
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consumption_fig_by_speed = None
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table_fig = None
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pandas_options.display.float_format = '${:.2f}'.format
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info = ""
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battery_info = dbc.Alert("No data to show", color="danger")
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def get_figures(trips: List[Trip], charging: List[dict]):
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global consumption_fig, consumption_df, trips_map, consumption_fig_by_speed, table_fig, info, battery_info
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lats = []
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lons = []
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names = []
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for trip in trips:
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for points in trip.positions:
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lats = np.append(lats, points.longitude)
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lons = np.append(lons, points.latitude)
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names = np.append(names, [str(trip.start_at)])
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lats = np.append(lats, None)
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lons = np.append(lons, None)
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names = np.append(names, None)
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trips_map = px.line_mapbox(lat=lats, lon=lons, hover_name=names,
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mapbox_style="stamen-terrain", zoom=12)
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# table
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nb_format = Format(precision=2, scheme=Scheme.fixed, symbol=Symbol.yes)
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table_fig = dash_table.DataTable(
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id='trips-table',
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sort_action='native',
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sort_by=[{'column_id': 'start_at', 'direction': 'desc'}],
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columns=[{'id': 'start_at', 'name': 'start at', 'type': 'datetime'},
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{'id': 'duration', 'name': 'duration', 'type': 'numeric',
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'format': deepcopy(nb_format).symbol_suffix(" min").precision(0)},
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{'id': 'speed_average', 'name': 'average speed', 'type': 'numeric',
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'format': deepcopy(nb_format).symbol_suffix(" km/h")},
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{'id': 'consumption_km', 'name': 'average consumption', 'type': 'numeric',
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'format': deepcopy(nb_format).symbol_suffix(" kw/100km")},
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{'id': 'distance', 'name': 'distance', 'type': 'numeric', 'format': nb_format.symbol_suffix(" km")}],
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data=[tr.get_info() for tr in trips],
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)
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# consumption_fig
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consumption_df = DataFrame.from_records([tr.get_consumption() for tr in trips])
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consumption_fig = px.line(consumption_df, x="date", y="consumption", title='Consumption of the car')
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consumption_fig.update_layout(yaxis_title="Consumption kWh/100Km")
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consum_df_by_speed = DataFrame.from_records(
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[{"speed": tr.speed_average, "consumption": tr.consumption_km} for tr in trips])
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consumption_fig_by_speed = px.histogram(consum_df_by_speed, x="speed", y="consumption", histfunc="avg",
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title="Consumption by speed")
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consumption_fig_by_speed.update_traces(xbins_size=15)
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consumption_fig_by_speed.update_layout(bargap=0.05)
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consumption_fig_by_speed.add_trace(
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go.Scatter(mode="markers", x=consum_df_by_speed["speed"], y=consum_df_by_speed["consumption"],
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name="Trips"))
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consumption_fig_by_speed.update_layout(xaxis_title="average Speed km/h", yaxis_title="Consumption kWh/100Km")
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kw_per_km = float(consumption_df.mean(numeric_only=True))
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info = "Average consumption: {:.1f} kW/100km".format(kw_per_km)
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# charging
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charging_data = DataFrame.from_records(charging)
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try:
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co2_per_kw = charging_data["co2"].sum() / charging_data["kw"].sum()
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except ZeroDivisionError:
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co2_per_kw = 0
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co2_per_km = co2_per_kw * kw_per_km / 100
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try:
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charge_speed = 3600 * charging_data["kw"].mean() / \
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(charging_data["stop_at"] - charging_data["start_at"]).mean().total_seconds()
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except TypeError: # when there is no data yet:
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charge_speed = 0
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battery_info = html.Div(children=[html.P("Average gC02/kW: {:.1f}".format(co2_per_kw)),
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html.P("Average gC02/km: {:1f}".format(co2_per_km)),
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html.P("Average Charge SPEED {:1f} kW/h".format(charge_speed))])
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