lxml.etree.ParserError: Document is empty - how to handle this issue?

[natesanshreyas]

This is the script I'm using:

import myfitnesspal
import browser_cookie3
import csv
import pandas as pd
import os.path
from datetime import date,timedelta, datetime
import os.path

def mfp_to_csv():
client = myfitnesspal.Client(browser_cookie3.chrome())
response = client.session.get(client._get_url_for_measurements())
print(response.text) # See what the raw response looks like

end_date = date(date.today().year, 2, 13)
end_date2 = date.today()
start_date = date(date.today().year, 1, 23)
delta = timedelta(days=1)
mfp_date = []
mfp_calories = []
mfp_fats = []
mfp_carbs = []
mfp_protein = []
mfp_weight = []

current_date = start_date

while current_date <= end_date: #in the timespan of ten days ago until now
    mfp_time = client.get_date(current_date) #assigns variable for the command that gets all user macros for the specified timespan
    mfp_time_str = mfp_time.date.strftime("%m-%d-%Y")
    mfp_measurement = client.get_measurements(measurement= "Weight", lower_bound= current_date, upper_bound = current_date) #assigns variable for the command that gets all user weights for the specified timespan
    if current_date in mfp_measurement: #if the date is in the dict for weight
        mfp_weight.append(mfp_measurement.get(current_date,0)) #the 
    else:
        mfp_weight.append("NaN")
        
    mfp_date.append(mfp_time_str)
    mfp_calories.append(mfp_time.totals.get('calories',0))
    mfp_fats.append(mfp_time.totals.get('fat',0))   
    mfp_carbs.append(mfp_time.totals.get('carbohydrates',0))
    mfp_protein.append(mfp_time.totals.get('protein',0))

    current_date += delta

data = {
    "Date": mfp_date,
    "Weight": mfp_weight,
    "Fats": mfp_fats,
    "Carbs": mfp_carbs,
    "Protein": mfp_protein,
    "Calories": mfp_calories,
    
}

with open('mfp_csv.csv', 'w+', newline = '') as f:
    writer = csv.writer(f)
    reader = csv.reader(f)
    headers = ["Date", 'Calories', 'Carbohydrates', 'Fat', 'Protein']
    df = pd.DataFrame(data)
    df.to_csv("mfp_csv.csv", index = False)

mfp_to_csv()

This is the error I'm getting:

Traceback (most recent call last):
File "/Users/shreyas.natesan/Documents/mfp.py", line 122, in
mfp_to_csv()
File "/Users/shreyas.natesan/Documents/mfp.py", line 36, in mfp_to_csv
mfp_measurement = client.get_measurements(measurement= "Weight", lower_bound= current_date, upper_bound = current_date) #assigns variable for the command that gets all user weights for the specified timespan
File "/Users/shreyas.natesan/Library/Python/3.9/lib/python/site-packages/myfitnesspal/client.py", line 612, in get_measurements
document = self._get_document_for_url(self._get_url_for_measurements())
File "/Users/shreyas.natesan/Library/Python/3.9/lib/python/site-packages/myfitnesspal/client.py", line 288, in _get_document_for_url
return lxml.html.document_fromstring(content)
File "/Users/shreyas.natesan/Library/Python/3.9/lib/python/site-packages/lxml/html/init.py", line 761, in document_fromstring
raise etree.ParserError(
lxml.etree.ParserError: Document is empty

Has anyone run into this before? Any thoughts on how to get around this issue?