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a wrapper for using Task Analytics APIs and downloading survey responses

Project description

Task Analytics Data Wrapper

Code style: black

This is a wrapper for Task Analytics APIs. You can use it to download survey responses and metadata for each survey.

Supported APIs

Log in to Task Analytics

You can log in with email and password

status = log_in_taskanalytics(username=email, password=password)  
status.status_code

Download Survey responses

You can download survey responses for a Top Task survey using the survey ID, email, password and setting a path for where to store the file.

import taskanalytics_data_wrapper.taskanalytics_api as task

get_survey = task.download_survey(
    username=email, password=password, survey_id="03324", filename="data/survey.csv"
)
get_survey.status_code

Download Survey metadata

You can download the survey metadata which includes the questions and response options for each survey using the survey ID, email and password.

survey_metadata = task.get_survey_metadata(
    username=email, password=password, survey_id="03324"
)
survey_metadata.status_code

The object can be easily inspected transformed into a dictionary for analysis

survey_metadata.text # survey metadata
our_dict = survey_metadata.json() # convert string to dict and store as a variable

Download Discovery survey responses

You can download responses from open ended task discovery surveys as well

get_openended_survey = task.download_discovery_survey(
    username=email, password=password, organization_id=organization, survey_id="03230"
)

See how to turn this into csv in the code example below by expanding

Expandable example
data = get_openended_survey.json()

#create a new dict from our subset of data
def flatten_openended_dict(data):
    """ """
    respondent = []
    completion = []
    category = []
    discovery = []
    comment = []
    for i in data:
        respondent.append(i["id"])
        completion.append(i["completion"])
        category.append(i["category"])
        discovery.append(i["answers"]["discovery"])
        try:
            comment.append(i["answers"]["comment"])
        except:
            comment.append("")
    newlist = [
        {
            "id": respondent,
            "completion": completion,
            "category": category,
            "discovery": discovery,
            "comment": comment,
        }
        for respondent, completion, category, discovery, comment in zip(
            respondent, completion, category, discovery, comment
        )
    ]
    return newlist


newlist = flatten_openended_dict(data["responses"])

# write open ended survey to csv with your preferred encoding and delimiter
keys = newlist[0].keys()

with open("data/open_survey.csv", "w", encoding="utf-8-sig", newline="") as output_file:
    writer = csv.DictWriter(output_file, fieldnames=keys, delimiter=";")
    writer.writeheader()
    writer.writerows(newlist)

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