Calculate how much the furnace is running #30
20
pi_temp.py
20
pi_temp.py
@ -71,7 +71,6 @@ def lab_temp():
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def history():
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temperatures, humidities, timezone, from_date_str, to_date_str = get_records()
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# Create new record tables so that datetimes are adjusted back to the user browser's time zone.
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time_series_adjusted_temperatures = []
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time_series_adjusted_humidities = []
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@ -122,21 +121,24 @@ def history():
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fig = Figure(data=data, layout=layout)
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graphJSON = json.dumps(fig, cls=plotly.utils.PlotlyJSONEncoder)
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## Duration of significant heat increases
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# Timestep from raw database values for temperature
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timestep_minutes = (datetime.datetime.strptime(temperatures[1][0], "%Y-%m-%d %H:%M:%S")-datetime.datetime.strptime(temperatures[0][0], "%Y-%m-%d %H:%M:%S")).seconds/60
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# Calculate minutes for each streak
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streak_minutes = streak_lengths(time_series_temperature_values)*timestep_minutes
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x = time_series_temperature_values
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result = longest_streak(x)
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return render_template("history.html", timezone = timezone,
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graphJSON = graphJSON,
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result = result,
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total_minutes = sum(streak_minutes),
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)
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def longest_streak(grades):
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if len(grades) < 2:
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return len(grades)
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# Calculate streak lengths (https://stackoverflow.com/a/20614650/2152245)
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def streak_lengths(temps):
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if len(temps) < 2:
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return len(temps)
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else:
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start, streaks = -1, []
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for idx, (x, y) in enumerate(zip(grades, grades[1:])):
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for idx, (x, y) in enumerate(zip(temps, temps[1:])):
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if x > y:
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streaks.append(idx - start)
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start = idx
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@ -79,7 +79,7 @@
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</div>
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<div class='row' id='plotly-plot'></div>
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{{ result }}
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{{ total_minutes }}
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</body>
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