Tabs to spaces and build a list with counts of increasing segments.
This commit is contained in:
207
pi_temp.py
207
pi_temp.py
@ -58,123 +58,142 @@ app.debug = True # Make this False if you are no longer debugging
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@app.route("/")
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def lab_temp():
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import sys
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import Adafruit_DHT
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humidity, temperature = Adafruit_DHT.read_retry(Adafruit_DHT.AM2302, 17)
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temperature = temperature * 9/5.0 + 32
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if humidity is not None and temperature is not None:
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return render_template("live.html",temp=temperature,hum=humidity)
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else:
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return render_template("no_sensor.html")
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import sys
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import Adafruit_DHT
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humidity, temperature = Adafruit_DHT.read_retry(Adafruit_DHT.AM2302, 17)
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temperature = temperature * 9/5.0 + 32
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if humidity is not None and temperature is not None:
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return render_template("live.html",temp=temperature,hum=humidity)
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else:
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return render_template("no_sensor.html")
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@app.route("/history", methods=['GET']) #Add date limits in the URL #Arguments: from=2015-03-04&to=2015-03-05
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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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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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time_series_temperature_values = []
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time_series_humidity_values = []
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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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time_series_temperature_values = []
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time_series_humidity_values = []
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for record in temperatures:
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local_timedate_series = arrow.get(record[0], "YYYY-MM-DD HH:mm")
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time_series_adjusted_temperatures.append(local_timedate_series.format('YYYY-MM-DD HH:mm'))
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time_series_temperature_values.append(round(record[2],2))
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for record in temperatures:
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local_timedate_series = arrow.get(record[0], "YYYY-MM-DD HH:mm")
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time_series_adjusted_temperatures.append(local_timedate_series.format('YYYY-MM-DD HH:mm'))
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time_series_temperature_values.append(round(record[2],2))
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for record in humidities:
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local_timedate_series = arrow.get(record[0], "YYYY-MM-DD HH:mm")
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time_series_adjusted_humidities.append(local_timedate_series.format('YYYY-MM-DD HH:mm')) #Best to pass datetime in text
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#so that Plotly respects it
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time_series_humidity_values.append(round(record[2],2))
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for record in humidities:
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local_timedate_series = arrow.get(record[0], "YYYY-MM-DD HH:mm")
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time_series_adjusted_humidities.append(local_timedate_series.format('YYYY-MM-DD HH:mm')) #Best to pass datetime in text
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#so that Plotly respects it
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time_series_humidity_values.append(round(record[2],2))
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temp = Scatter(
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x=time_series_adjusted_temperatures,
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y=time_series_temperature_values,
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name='Temperature',
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mode='lines',
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line=Line(color='red')
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)
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hum = Scatter(
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x=time_series_adjusted_humidities,
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y=time_series_humidity_values,
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name='Humidity',
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line=Line(color='aqua')
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)
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temp = Scatter(
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x=time_series_adjusted_temperatures,
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y=time_series_temperature_values,
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name='Temperature',
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mode='lines',
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line=Line(color='red')
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)
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hum = Scatter(
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x=time_series_adjusted_humidities,
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y=time_series_humidity_values,
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name='Humidity',
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line=Line(color='aqua')
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)
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data = Data([temp, hum])
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data = Data([temp, hum])
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layout = Layout(
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title="Temperature and Humidity",
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xaxis=XAxis(
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type='date',
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autorange=True
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),
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yaxis=YAxis(
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title='Fahrenheit / Percent',
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type='linear',
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autorange=True
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),
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)
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layout = Layout(
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title="Temperature and Humidity",
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xaxis=XAxis(
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type='date',
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autorange=True
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),
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yaxis=YAxis(
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title='Fahrenheit / Percent',
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type='linear',
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autorange=True
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),
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)
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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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fig = Figure(data=data, layout=layout)
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graphJSON = json.dumps(fig, cls=plotly.utils.PlotlyJSONEncoder)
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return render_template("history.html", timezone = timezone,
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graphJSON = graphJSON,
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)
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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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)
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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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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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if x > y:
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streaks.append(idx - start)
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start = idx
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else:
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streaks.append(idx - start + 1)
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long_streaks = [x for x in streaks if x > 3]
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return long_streaks
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def get_records():
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from_date_str = request.args.get('from',time.strftime("%Y-%m-%d 00:00")) #Get the from date value from the URL
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to_date_str = request.args.get('to',time.strftime("%Y-%m-%d %H:%M")) #Get the to date value from the URL
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timezone = request.args.get('timezone','Etc/UTC');
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range_h_form = request.args.get('range_h',''); #This will return a string, if field range_h exists in the request
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range_h_int = "nan" #initialise this variable with not a number
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from_date_str = request.args.get('from',time.strftime("%Y-%m-%d 00:00")) #Get the from date value from the URL
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to_date_str = request.args.get('to',time.strftime("%Y-%m-%d %H:%M")) #Get the to date value from the URL
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timezone = request.args.get('timezone','Etc/UTC');
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range_h_form = request.args.get('range_h',''); #This will return a string, if field range_h exists in the request
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range_h_int = "nan" #initialise this variable with not a number
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print "REQUEST:"
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print request.args
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print "REQUEST:"
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print request.args
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try:
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range_h_int = int(range_h_form)
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except:
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print "range_h_form not a number"
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try:
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range_h_int = int(range_h_form)
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except:
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print "range_h_form not a number"
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print "Received from browser: %s, %s, %s, %s" % (from_date_str, to_date_str, timezone, range_h_int)
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print "Received from browser: %s, %s, %s, %s" % (from_date_str, to_date_str, timezone, range_h_int)
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if not validate_date(from_date_str): # Validate date before sending it to the DB
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from_date_str = time.strftime("%Y-%m-%d 00:00")
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if not validate_date(to_date_str):
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to_date_str = time.strftime("%Y-%m-%d %H:%M") # Validate date before sending it to the DB
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print '2. From: %s, to: %s, timezone: %s' % (from_date_str,to_date_str,timezone)
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# Create datetime object so that we can convert to UTC from the browser's local time
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from_date_obj = datetime.datetime.strptime(from_date_str,'%Y-%m-%d %H:%M')
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to_date_obj = datetime.datetime.strptime(to_date_str,'%Y-%m-%d %H:%M')
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if not validate_date(from_date_str): # Validate date before sending it to the DB
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from_date_str = time.strftime("%Y-%m-%d 00:00")
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if not validate_date(to_date_str):
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to_date_str = time.strftime("%Y-%m-%d %H:%M") # Validate date before sending it to the DB
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print '2. From: %s, to: %s, timezone: %s' % (from_date_str,to_date_str,timezone)
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# Create datetime object so that we can convert to UTC from the browser's local time
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from_date_obj = datetime.datetime.strptime(from_date_str,'%Y-%m-%d %H:%M')
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to_date_obj = datetime.datetime.strptime(to_date_str,'%Y-%m-%d %H:%M')
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# If range_h is defined, we don't need the from and to times
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if isinstance(range_h_int,int):
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arrow_time_from = arrow.utcnow().replace(hours=-range_h_int)
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arrow_time_to = arrow.utcnow()
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from_date_utc = arrow_time_from.strftime("%Y-%m-%d %H:%M")
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to_date_utc = arrow_time_to.strftime("%Y-%m-%d %H:%M")
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from_date_str = arrow_time_from.to(timezone).strftime("%Y-%m-%d %H:%M")
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to_date_str = arrow_time_to.to(timezone).strftime("%Y-%m-%d %H:%M")
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else:
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#Convert datetimes to UTC so we can retrieve the appropriate records from the database
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from_date_utc = arrow.get(from_date_obj, timezone).to('Etc/UTC').strftime("%Y-%m-%d %H:%M")
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to_date_utc = arrow.get(to_date_obj, timezone).to('Etc/UTC').strftime("%Y-%m-%d %H:%M")
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# If range_h is defined, we don't need the from and to times
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if isinstance(range_h_int,int):
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arrow_time_from = arrow.utcnow().replace(hours=-range_h_int)
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arrow_time_to = arrow.utcnow()
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from_date_utc = arrow_time_from.strftime("%Y-%m-%d %H:%M")
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to_date_utc = arrow_time_to.strftime("%Y-%m-%d %H:%M")
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from_date_str = arrow_time_from.to(timezone).strftime("%Y-%m-%d %H:%M")
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to_date_str = arrow_time_to.to(timezone).strftime("%Y-%m-%d %H:%M")
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else:
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#Convert datetimes to UTC so we can retrieve the appropriate records from the database
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from_date_utc = arrow.get(from_date_obj, timezone).to('Etc/UTC').strftime("%Y-%m-%d %H:%M")
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to_date_utc = arrow.get(to_date_obj, timezone).to('Etc/UTC').strftime("%Y-%m-%d %H:%M")
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conn = sqlite3.connect('pi_temp.db')
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curs = conn.cursor()
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curs.execute("SELECT * FROM temperatures WHERE rDateTime BETWEEN ? AND ?", (from_date_utc.format('YYYY-MM-DD HH:mm'), to_date_utc.format('YYYY-MM-DD HH:mm')))
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temperatures = curs.fetchall()
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curs.execute("SELECT * FROM humidities WHERE rDateTime BETWEEN ? AND ?", (from_date_utc.format('YYYY-MM-DD HH:mm'), to_date_utc.format('YYYY-MM-DD HH:mm')))
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humidities = curs.fetchall()
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conn.close()
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conn = sqlite3.connect('pi_temp.db')
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curs = conn.cursor()
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curs.execute("SELECT * FROM temperatures WHERE rDateTime BETWEEN ? AND ?", (from_date_utc.format('YYYY-MM-DD HH:mm'), to_date_utc.format('YYYY-MM-DD HH:mm')))
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temperatures = curs.fetchall()
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curs.execute("SELECT * FROM humidities WHERE rDateTime BETWEEN ? AND ?", (from_date_utc.format('YYYY-MM-DD HH:mm'), to_date_utc.format('YYYY-MM-DD HH:mm')))
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humidities = curs.fetchall()
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conn.close()
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return [temperatures, humidities, timezone, from_date_str, to_date_str]
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return [temperatures, humidities, timezone, from_date_str, to_date_str]
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def validate_date(d):
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try:
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@ -79,6 +79,8 @@
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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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</body>
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<footer>
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