Depending on the time horizon set, there are different limits to how much price data you can fetch in one request. Specifically for 1 minute data, you only get one day's worth of prices. To handle this limitation, you can loop through each day and month to fetch and aggregate the data incrementally:
for month in range(1, 12):
for day in range(1, 31):
response = get_historical_prices(headers, assetType=assetType, uic=uic, period=period, day=day, month=month)
formatted_response = format_json(response)
#Get all the necessary data from the response
close_ask_values = [data['CloseAsk'] for data in formatted_response['Data']]
time_values = [datetime.strptime(data['Time'], '%Y-%m-%dT%H:%M:%S.%fZ') for data in formatted_response['Data']]
response = get_historical_prices(headers, assetType=assetType, uic=uic, period=period, day=day, month=month)
formatted_response = format_json(response)
#Get all the necessary data from the response
close_ask_values = [data['CloseAsk'] for data in formatted_response['Data']]
time_values = [datetime.strptime(data['Time'], '%Y-%m-%dT%H:%M:%S.%fZ') for data in formatted_response['Data']]
high_ask_values = [data['HighAsk'] for data in formatted_response['Data']]
low_ask_values = [data['LowAsk'] for data in formatted_response['Data']]
open_ask_values = [data['OpenAsk'] for data in formatted_response['Data']]
#Then we make a pandas datafram with the data, into a csv file
new_data = pd.DataFrame({"Date": time_values, "Open": open_ask_values, "High": high_ask_values, "Low": low_ask_values, "Close": close_ask_values})
df = pd.concat([df, new_data])
df.to_csv("prices.csv", index=False)An error will still be thrown for monthly ranges higher than 4, and from January to March due to February only being 28 days. But 3 requests instead of 365 is still pretty good.
The UIC of each available asset can be fetched by running infoGUI.py, and choosing the desired asset type.
When you have the UIC, you can chart the price data by running getPriceChart. The charting is done using the python version of the lightweight-charts framework.