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1 changed files with 29 additions and 35 deletions
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src/corchestrate/chart.py
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@ -1,5 +1,4 @@
from datetime import datetime from datetime import datetime
from plotly.graph_objs import Figure
from plotly.subplots import make_subplots from plotly.subplots import make_subplots
from corchestrate.chart_data import ChartData from corchestrate.chart_data import ChartData
@ -14,6 +13,8 @@ def plot_over_time(input_data: list[ChartData]):
datetime_indices = [] datetime_indices = []
fig = make_subplots(5, 1)
while True: while True:
min_datetime: datetime | None = None min_datetime: datetime | None = None
# Find min_datetime # Find min_datetime
@ -42,9 +43,6 @@ def plot_over_time(input_data: list[ChartData]):
if current_measurement is None: if current_measurement is None:
continue continue
# Ensure min_datetime is minimum.
assert current_measurement.measured_at >= min_datetime
if current_measurement.measured_at == min_datetime: if current_measurement.measured_at == min_datetime:
indexed_input.extracted_heart_rate.append( indexed_input.extracted_heart_rate.append(
current_measurement.heart_rate) current_measurement.heart_rate)
@ -57,37 +55,33 @@ def plot_over_time(input_data: list[ChartData]):
# Advance to next index # Advance to next index
indexed_input.next() indexed_input.next()
heart_rate_figure = Figure()
speed_figure = Figure()
cadence_figure = Figure()
power_figure = Figure()
temperature_figure = Figure()
# Plot # Plot
for indexed_input in indexed_inputs: for indexed_input in indexed_inputs:
heart_rate_figure.add_scatter(x=datetime_indices, fig.add_scatter(x=datetime_indices,
y=indexed_input.extracted_heart_rate, y=indexed_input.extracted_heart_rate,
name=indexed_input.name, row=1,
hoverlabel=dict(namelength=-1)) col=1,
speed_figure.add_scatter(x=datetime_indices, name=f"Heart rate - {indexed_input.name}")
y=indexed_input.extracted_speed, fig.add_scatter(x=datetime_indices,
name=indexed_input.name, y=indexed_input.extracted_speed,
hoverlabel=dict(namelength=-1)) row=2,
cadence_figure.add_scatter(x=datetime_indices, col=1,
y=indexed_input.extracted_cadence, name=f"Speed - {indexed_input.name}")
name=indexed_input.name, fig.add_scatter(x=datetime_indices,
hoverlabel=dict(namelength=-1)) y=indexed_input.extracted_cadence,
power_figure.add_scatter(x=datetime_indices, row=3,
y=indexed_input.extracted_power, col=1,
name=indexed_input.name, name=f"Cadence - {indexed_input.name}")
hoverlabel=dict(namelength=-1)) fig.add_scatter(x=datetime_indices,
temperature_figure.add_scatter( y=indexed_input.extracted_power,
x=datetime_indices, row=4,
y=indexed_input.extracted_temperature, col=1,
name=f"Temperature - {indexed_input.name}") name=f"Power - {indexed_input.name}")
fig.add_scatter(x=datetime_indices,
y=indexed_input.extracted_temperature,
row=5,
col=1,
name=f"Temperature - {indexed_input.name}")
heart_rate_figure.write_html("hr.html", auto_open=True) fig.update_layout(height=3000)
speed_figure.write_html("speed.html", auto_open=True) fig.show()
cadence_figure.write_html("cad.html", auto_open=True)
power_figure.write_html("pwr.html", auto_open=True)
temperature_figure.write_html("temp.html", auto_open=True)