Tiny House Experiments Tech School

Tiny House 8

import dweepy
import pandas as pd
import plotly.express as px

url = dweepy.get_latest_dweet_for('MPPS-Tiny-House-8-bundoora')
print(url)

dict = url[0]
voltage = dict['content'][('bat')]
print(f'The battery voltage is {voltage}')

internalTemp = dict['content'][('intTemp')]
print(f'The internal temperature is {internalTemp}')

internalHumid = dict['content'][('intHumid')]
print(f'The internal humidity is {internalHumid}')

externalTemp = dict['content'][('extTemp')]
print(f'The outside temperature is {externalTemp}')

datetime = dict['content'][('date')]

# Saving data
data = str(datetime) + "," + str(internalTemp) + "," + str(internalHumid) + "," + \
       str(externalTemp) + "," + str(voltage) + "\n"
print(f'The data is =  {data}')
         
f = open('/home/pi/Tiny_House_8/tiny_house_8_data.txt','a')
f.write(data)
f.close()
print("The data has been saved")




# Step 2: Read the data from the text file into a Pandas DataFrame
data = pd.read_csv('/home/pi/Tiny_House_8/tiny_house_8_data.txt')

# Step 3: Create a Plotly figure with two scatter plots
fig = px.scatter(data, x='datetime', y=['intTemp', 'extTemp'],
                 labels={'datetime': 'Date and Time', 'value': 'Temperature (°C)'},
                 title='Tiny House No Insulation - #8')

# Step 4: Customize the plot layout
fig.update_layout(xaxis_title='Date and Time', yaxis_title='Temperature (°C)')

# Step 5: Save the plot as an HTML file
fig.write_html('/home/pi/Tiny_House_8/temperature_plot_tiny_house_8.html')

print("Temperature plot saved as temperature_plot.html")

Tiny House 10

import dweepy
import pandas as pd
import plotly.express as px
#https://github.com/paddycarey/dweepy - Reference

url = dweepy.get_latest_dweet_for('SMC-Tiny-House-10-bundoora')
print(url)

dict = url[0]
voltage = dict['content'][('bat')]
print(f'The battery voltage is {voltage}')

internalTemp = dict['content'][('intTemp')]
print(f'The internal temperature is {internalTemp}')

internalHumid = dict['content'][('intHumid')]
print(f'The internal humidity is {internalHumid}')

externalTemp = dict['content'][('extTemp')]
print(f'The outside temperature is {externalTemp}')

datetime = dict['content'][('date')]

# Saving data
data = str(datetime) + "," + str(internalTemp) + "," + str(internalHumid) + "," + \
       str(externalTemp) + "," + str(voltage) + "\n"
print(f'The data is =  {data}')
         
f = open('/home/pi/Tiny_House_10/tiny_house_10_data.txt','a')
f.write(data)
f.close()
print("The data has been saved")





# Step 2: Read the data from the text file into a Pandas DataFrame
data = pd.read_csv('/home/pi/Tiny_House_10/tiny_house_10_data.txt')

# Step 3: Create a Plotly figure with two scatter plots
fig = px.scatter(data, x='datetime', y=['intTemp', 'extTemp'],
                 labels={'datetime': 'Date and Time', 'value': 'Temperature (°C)'},
                 title='Tiny House with Insulation - #10')

# Step 4: Customize the plot layout
fig.update_layout(xaxis_title='Date and Time', yaxis_title='Temperature (°C)')

# Step 5: Save the plot as an HTML file
fig.write_html('/home/pi/Tiny_House_10/temperature_plot_tiny_house_10.html')

print("Temperature 10 plot saved as temperature_plot.html")