Export data history

from datetime import timedelta, date # Library for calculatinga 30 Day Offset 
from petkit_exporter.petkit import PetKit, PetEvent, CleanEvent # Library to log into petkit
import pandas as pd # Library to process data tables.

# Provide your login credentials
petkit_username = "….@domain.com"
petkit_password = "password"

# Attempt to login.
petkit = PetKit(petkit_username, petkit_password)
print("Login Success")

# Print devices attached to your account
devices = petkit.discover_devices()
print("Found Devices:")
print(devices)

# Requesting Data
records = []
Offset = 30 # 30 day limit.

Start = date.today()
End   = date.today() - timedelta(days=Offset)
print(f"Seeking Records from {Start.strftime("%Y%m%d")} to {End.strftime("%Y%m%d")}")

# Request the data per device (if you have litter bot like I do)
for device in devices:
    print(f"Seeking Records for device: {device}")
    for i in range(Offset):
        # Getting Daily Records
        retrieve_date = (Start - timedelta(days=i)).strftime("%Y%m%d")
        datapoints = petkit.get_device_records(device,retrieve_date)
        for datapoint in datapoints:
            records.append(datapoint)


# Print them to your console
for item in records:
    print (item)

# Separate the Data
pet_events_data = [event for event in records if isinstance(event, PetEvent)]
clean_events_data = [event for event in records if isinstance(event, CleanEvent)]

# Convert to Pandas Dataframes (fancy way to say format it for the excel file)
pet_events_df = pd.DataFrame(pet_events_data)
clean_events_df = pd.DataFrame(clean_events_data)

# Export Data to a CSV file (something you can import into Excel.
pet_events_df.to_csv("pet_events.csv", index=False)  # Set index=False to 
clean_events_df.to_csv("clean_events.csv", index=False)  # Set index=False to 

If you need some help running this code, I suggest either finding a friend who is tech savvy OR trying out ChatGPT to get this code running.