Datasets:

chuxuan
/

REPRO-Bench

import os
import pandas as pd

"""
Input:
- str path = directory to store the raw survey
- str surveyname = name of survey. must be a survey in the study_config
"""

class PullSurvey():
    # Qualtrics API Token
    apiToken = "giId4AaEUZa4PIHNI49TR1g4tzEs3zrm6GRcyVcr"
    # Qualtrics User ID
    userId = "UR_2sPkRisvCCNPi73"
    # Qualtrics Response Export File Format
    fileFormat = "csv"
    # Qualtrics Data Center (defaulting to 'ca1' is fine)
    dataCenter = "ca1"

    def pull_qualtrics(self,path,survey_name):
        from lib.experiment_specs import study_config
        from lib.data_helpers import qualtricsapi2

        # Get Responses in Progress and Completes
        for sub_name, bool_str in {"Finished":"false","InProgress":"true"}.items():

            qualtricsapi2.export_survey(apiToken=self.apiToken,
                                        surveyId=study_config.surveys[survey_name]["QualtricsID"],
                                        fileFormat=self.fileFormat,
                                        dataCenter=self.dataCenter,
                                        downloadDir = path,
                                        exportResponsesInProgress=bool_str)


            new_path = os.path.join(path,survey_name + sub_name + ".csv")
            if os.path.isfile(new_path):
                os.remove(new_path)

            # get the new raw file name by matching it to the clean file name,after removing spaces and hyphens from raw file
            old_file = []
            for file in os.listdir(path):
                matching_file = file.replace(" ","").replace("-","")
                if (survey_name in matching_file) & \
                        ("Finished" not in matching_file) &\
                        ("InProgress" not in matching_file) &\
                        (survey_name+".csv" != matching_file):
                    old_file.append(file)
            try:
                assert len(old_file) == 1
            except:
                print(f" either 0 or more than one files with {survey_name} in file name in {path}")
                sys.exit()
            os.rename(os.path.join(path,old_file[0]),new_path)

        finished = pd.read_csv(os.path.join(path,survey_name+"Finished.csv"))
        in_progress = pd.read_csv(os.path.join(path,survey_name+"InProgress.csv"))
        in_progress = in_progress.iloc[2:,]
        full = finished.append(in_progress)
        full = full.replace({r'\r': ''}, regex=True)
        full.to_csv(os.path.join(path,survey_name+".csv"), index = False)
        print("\t Successful Download!")

if __name__ == "__main__":
    import sys
    import git
    # root directory of github repo
    root = git.Repo('.', search_parent_directories = True).working_tree_dir
    os.chdir(root)

    sys.path.append(root)
    survey_name = input("Which Survey to Pull for Main Pipeline? ")
    path = os.path.join("data","external","dropbox_confidential","Surveys")
    PullSurvey().pull_qualtrics(path,survey_name)

	import os
	import pandas as pd

	"""
	Input:
	- str path = directory to store the raw survey
	- str surveyname = name of survey. must be a survey in the study_config
	"""

	class PullSurvey():
	# Qualtrics API Token
	apiToken = "giId4AaEUZa4PIHNI49TR1g4tzEs3zrm6GRcyVcr"
	# Qualtrics User ID
	userId = "UR_2sPkRisvCCNPi73"
	# Qualtrics Response Export File Format
	fileFormat = "csv"
	# Qualtrics Data Center (defaulting to 'ca1' is fine)
	dataCenter = "ca1"

	def pull_qualtrics(self,path,survey_name):
	from lib.experiment_specs import study_config
	from lib.data_helpers import qualtricsapi2

	# Get Responses in Progress and Completes
	for sub_name, bool_str in {"Finished":"false","InProgress":"true"}.items():

	qualtricsapi2.export_survey(apiToken=self.apiToken,
	surveyId=study_config.surveys[survey_name]["QualtricsID"],
	fileFormat=self.fileFormat,
	dataCenter=self.dataCenter,
	downloadDir = path,
	exportResponsesInProgress=bool_str)


	new_path = os.path.join(path,survey_name + sub_name + ".csv")
	if os.path.isfile(new_path):
	os.remove(new_path)

	# get the new raw file name by matching it to the clean file name,after removing spaces and hyphens from raw file
	old_file = []
	for file in os.listdir(path):
	matching_file = file.replace(" ","").replace("-","")
	if (survey_name in matching_file) & \
	("Finished" not in matching_file) &\
	("InProgress" not in matching_file) &\
	(survey_name+".csv" != matching_file):
	old_file.append(file)
	try:
	assert len(old_file) == 1
	except:
	print(f" either 0 or more than one files with {survey_name} in file name in {path}")
	sys.exit()
	os.rename(os.path.join(path,old_file[0]),new_path)

	finished = pd.read_csv(os.path.join(path,survey_name+"Finished.csv"))
	in_progress = pd.read_csv(os.path.join(path,survey_name+"InProgress.csv"))
	in_progress = in_progress.iloc[2:,]
	full = finished.append(in_progress)
	full = full.replace({r'\r': ''}, regex=True)
	full.to_csv(os.path.join(path,survey_name+".csv"), index = False)
	print("\t Successful Download!")

	if __name__ == "__main__":
	import sys
	import git
	# root directory of github repo
	root = git.Repo('.', search_parent_directories = True).working_tree_dir
	os.chdir(root)

	sys.path.append(root)
	survey_name = input("Which Survey to Pull for Main Pipeline? ")
	path = os.path.join("data","external","dropbox_confidential","Surveys")
	PullSurvey().pull_qualtrics(path,survey_name)