def get_survey_information(apiToken, dataCenter="ca1"):
"""Prints a list of the current survey names and corresponding Ids and asks
the user which survey they want to recieve an export from.
Args:
apiToken(str): A string of characters that allows allows authentication
when querying the Qualtrics API.
dataCenter(str): Data center arguement for Qualtrics API.
Returns:
surveyID(str): A unique ID corresponding the to survey the user wants to
retreieve survey responses for.
Bool(False): If a surveyId isn't selected or found."""
baseUrl = f"https://{dataCenter}.qualtrics.com/API/v3/surveys"
headers = {
"x-api-token": apiToken,
}
response = requests.get(baseUrl, headers=headers)
try:
survey_info = json.loads(response.text)['result']['elements']
except KeyError:
print(json.loads(response.text))
print("You are presenting an invalid API token to qualtrics. "
"Please make sure that your API token exactly matches"
"the token listed on the Qualtrics account and try again.")
sys.exit()
print("\nBelow are the surveys listed under your qualtrics account:\n")
print("-" * 80)
if len(survey_info) == 0:
print("There are no surveys associated with your Qualtrics account.")
print("Quitting this program.. .. ..")
sys.exit()
for i, survey in enumerate(survey_info):
print(f"{i + 1}. - Survey Name: {survey['name']}")
print(f"Survey ID: {survey['id']}")
print("-" * 80)
prompt = (
"Which survey would you like to export? \n(indicate the survey by typing the number listed next to the survey): "
)
survey_response = InputManager.get_numerical_input(prompt,
(len(survey_info)))
surveyId = survey_info[survey_response - 1]['id']
if surveyId:
prompt = "Would you like to save this as your default survey? \n(Answering yes will save the id to '/.ids/surveyid.txt')"
ans = InputManager.get_yes_or_no(prompt)
if ans:
if not os.path.exists(f"{os.getcwd()}/.ids/"):
os.mkdir(f"{os.getcwd()}/.ids/")
with open(f"{os.getcwd()}/.ids/surveyid.txt", "w") as out_file:
out_file.write(surveyId)
return surveyId
return False
def get_prelim_qs(df):
"""Asks the user to input the amount of questions in the survey that do not
correspond to survey questions given to the participant (preliminary
questions).
Args:
df: A cleaned DataFrame of the Qualtrics export.
Returns:
num_prelim_qs(int): The number of questions before the experiment began.
"""
num_prelim_qs = InputManager.get_numerical_input(
"How many preliminary "
"questions were asked "
"before the experiment "
"began?: ", 9)
return num_prelim_qs