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healthgrades_v2.py
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healthgrades_v2.py
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import requests
import pprint
import ipdb
import csv
import json
import os
import time
import sys
from constants import specialties, specialties_to_search
what_we_want = {}
base_url = (
'https://www.healthgrades.com/api3/usearch'
)
other_params = {
'isFirstRequest': True,
'sort.provider': 'bestmatch',
'sort.practice': 'bestmatch',
'entityCode': None,
'requestId': None,
'sessionId': None
}
search_params = {
'category': 'all',
'distances': 'National',
'pageNum': 1,
'pageSize.practice': 8,
'pageSize.provider': 100,
'searchType': 'SpecialtyVertical',
'what': 'Orthopaedics',
}
malpractices_list = []
sanctions_list = []
patient_experience_surveys_list = []
malpractices_list_filenames = []
sanctions_list_filenames = []
patient_experience_surveys_list_filenames = []
patient_experience_surveys_list_specialty_filenames = {}
provider_list_filenames = {}
doctor_errors = []
def ensure_dir(file_path):
directory = os.path.dirname(file_path)
if not os.path.exists(directory):
os.makedirs(directory)
return file_path
def merge_csvs(filenames, directory, name):
output_filename = directory + name + '-combined-' + str(time.time()) + '.csv'
output_file = open(output_filename, 'wb')
output_writer = csv.writer(output_file)
for i, filename in enumerate(filenames):
if name == 'patient_experience':
filename = 'patient_exp_surveys/' + filename
with open(filename, 'rU') as f:
reader = csv.reader(f)
# if i == 0:
# output_writer.writerow(reader[0])
# for row in reader[1:]:
for row in reader:
output_writer.writerow(row)
def create_errors_csv(filename):
global doctor_errors
with open(filename) as csvfile:
writer = csv.writer(csvfile)
writer.writerow(['name', 'healthgrades_id'])
for doctor in doctor_errors:
try:
writer.writerow(doctor.values())
except:
continue
def create_malpractices_csv(filename):
global malpractices_list
global malpractices_list_filenames
directory = ensure_dir('{}/'.format('malpractices'))
with open(directory + filename, 'wb') as csvfile:
writer = csv.writer(csvfile)
writer.writerow(malpractices_list[0].keys())
for doctor in malpractices_list:
try:
writer.writerow(doctor.values())
except:
print('error with: ' + doctor['healthgrades_id'])
continue
malpractices_list = []
malpractices_list_filenames.append(filename)
print('malpractices csv created')
def create_sanctions_csv(filename):
global sanctions_list
global sanctions_list_filenames
directory = ensure_dir('{}/'.format('sanctions'))
with open(directory + filename, 'wb') as csvfile:
writer = csv.writer(csvfile)
writer.writerow(sanctions_list[0].keys())
for doctor in sanctions_list:
try:
writer.writerow(doctor.values())
except:
print('error with: ' + doctor['healthgrades_id'])
continue
sanctions_list = []
sanctions_list_filenames.append(filename)
print('sanctions csv created')
def create_patient_experience_surveys_csv(filename):
global patient_experience_surveys_list
global patient_experience_surveys_list_filenames
directory = ensure_dir('{}/'.format('patient_exp_surveys'))
with open(directory + filename, 'wb') as csvfile:
writer = csv.writer(csvfile)
writer.writerow(patient_experience_surveys_list[0].keys())
for doctor in patient_experience_surveys_list:
try:
writer.writerow(doctor.values())
except:
print('error with: ' + doctor['healthgrades_id'])
continue
patient_experience_surveys_list = []
patient_experience_surveys_list_filenames.append(filename)
def get_empty_malpractice_dict(malpractice_index):
return {
malpractice_index + '-' + "complaint": "",
malpractice_index + '-' + "formattedDate": "",
malpractice_index + '-' + "malpracticeType": "",
malpractice_index + '-' + "rangeOrAmountDisplay": "",
malpractice_index + '-' + "regionName": "",
malpractice_index + '-' + "showDate": "",
malpractice_index + '-' + "closedDate": "",
malpractice_index + '-' "rangeOrAmount": "",
malpractice_index + '-' + "amount": "",
malpractice_index + '-' + "location": "",
# malpractice_index + '-' + "location-" + "cityName": "",
# malpractice_index + '-' + "location-" + "cityAndState": "",
# malpractice_index + '-' + "location-" + "cityStateZipBestMatch": "",
# malpractice_index + '-' + "location-" + "providerCount": "",
# malpractice_index + '-' + "location-" + "region-" + "regionAbbreviation": "",
# malpractice_index + '-' + "location-" + "region-" + "regionName": "",
# malpractice_index + '-' + "location-" + "region-" + "cities": "",
# malpractice_index + '-' + "location-" + "region-" + "cityInitials": "",
# malpractice_index + '-' + "location-" + "region-" + "isCountry": "",
# malpractice_index + '-' + "location-" + "region-" + "zip": "",
# malpractice_index + '-' + "location-" + "region-" + "coordinates-" + "latitude": "",
# malpractice_index + '-' + "location-" + "region-" + "coordinates-" + "longitude": "",
# malpractice_index + '-' + "location-" + "region-" + "coordinates-" + "latLon": ""
# malpractice_index + '-' + "location-" + "region-" + "nation": "",
# malpractice_index + '-' + "location-" + "region-" + "hasProviders": "",
# malpractice_index + '-' + "location-" + "region-" + "supressRegionLink": ""
# malpractice_index + '-' + "location-" + "locRegion-" + "regionAbbreviation": "",
# malpractice_index + '-' + "location-" + "locRegion-" + "regionName": "",
# malpractice_index + '-' + "location-" + "locRegion-" + "cities": "",
# malpractice_index + '-' + "location-" + "locRegion-" + "cityInitials": "",
# malpractice_index + '-' + "location-" + "locRegion-" + "isCountry": "",
# malpractice_index + '-' + "location-" + "locRegion-" + "zip": "",
# malpractice_index + '-' + "location-" + "locRegion-" + "coordinates-" + "latitude": "",
# malpractice_index + '-' + "location-" + "locRegion-" + "coordinates-" + "longitude": "",
# malpractice_index + '-' + "location-" + "locRegion-" + "coordinates-" + "latLon": ""
# malpractice_index + '-' + "location-" + "locRegion-" + "nation": "",
# malpractice_index + '-' + "location-" + "locRegion-" + "hasProviders": "",
# malpractice_index + '-' + "location-" + "locRegion-" + "supressRegionLink": ""
# malpractice_index + '-' + "location-" + "isNeighborhood": "",
# malpractice_index + '-' + "location-" + "regionAbbreviation": ""
}
def get_empty_sanctions_dict(sanctions_index):
return {
sanctions_index + '-' + "actionTaken": "",
sanctions_index + '-' + "category": "",
sanctions_index + '-' + "description": "",
sanctions_index + '-' + "formattedDate": "",
sanctions_index + '-' + "location": "",
# sanctions_index + '-' + 'location-' + "cityName": "",
# sanctions_index + '-' + 'location-' + "cityAndState": "New York",
# sanctions_index + '-' + 'location-' + "cityStateZipBestMatch": "New York",
# sanctions_index + '-' + 'location-' + "providerCount": "",
# sanctions_index + '-' + 'location-' + 'region-' + "regionAbbreviation": "",
# sanctions_index + '-' + 'location-' + 'region-' + "regionName": "",
# sanctions_index + '-' + 'location-' + 'region-' + "cities": "",
# sanctions_index + '-' + 'location-' + 'region-' + "cityInitials": "",
# sanctions_index + '-' + 'location-' + 'region-' + "isCountry": "",
# sanctions_index + '-' + 'location-' + 'region-' + "zip": "",
# sanctions_index + '-' + 'location-' + 'region-' + 'coordinates-' + "latitude": "",
# sanctions_index + '-' + 'location-' + 'region-' + 'coordinates-' + "longitude": "",
# sanctions_index + '-' + 'location-' + 'region-' + 'coordinates-' + "latLon": ""
# sanctions_index + '-' + 'location-' + 'region-' + "nation": "",
# sanctions_index + '-' + 'location-' + 'region-' + "hasProviders": "",
# sanctions_index + '-' + 'location-' + 'region-' + "supressRegionLink": ""
# sanctions_index + '-' + 'location-' + 'locRegion-' + "regionAbbreviation": "",
# sanctions_index + '-' + 'location-' + 'locRegion-' + "regionName": "",
# sanctions_index + '-' + 'location-' + 'locRegion-' + "cities": "",
# sanctions_index + '-' + 'location-' + 'locRegion-' + "cityInitials": "",
# sanctions_index + '-' + 'location-' + 'locRegion-' + "isCountry": "",
# sanctions_index + '-' + 'location-' + 'locRegion-' + "zip": "",
# sanctions_index + '-' + 'location-' + 'locRegion-' + 'coordinates-' + "latitude": "",
# sanctions_index + '-' + 'location-' + 'locRegion-' + 'coordinates-' + "longitude": "",
# sanctions_index + '-' + 'location-' + 'locRegion-' + 'coordinates-' + "latLon": ""
# sanctions_index + '-' + 'location-' + 'locRegion-' + "nation": "",
# sanctions_index + '-' + 'location-' + 'locRegion-' + "hasProviders": "",
# sanctions_index + '-' + 'location-' + 'locRegion-' + "supressRegionLink": ""
# sanctions_index + '-' + 'location-' + "isNeighborhood": "",
# sanctions_index + '-' + 'location-' + "regionAbbreviation": ""
sanctions_index + '-' + "pdfPath": "",
sanctions_index + '-' + "recipientName": "",
sanctions_index + '-' + "regionName": "",
sanctions_index + '-' + "sanctionDate": "",
sanctions_index + '-' + "showDate": ""
}
def get_provider_profile_data(url, doc):
provider_url = 'https://www.healthgrades.com' + str(url)
resp = requests.get(provider_url)
html_string = resp.text
survey_data_start_string = 'pageState.pes'
survey_data_start_index = html_string.find(survey_data_start_string)
survey_data_end_string = 'pageState.facilityLocations'
survey_data_end_index = html_string.find(survey_data_end_string)
survey_data_json_with_trailing_garbage = html_string[survey_data_start_index:survey_data_end_index]
starting_garbage_end_index = len('pageState.pes = ')
trailing_garbage_start_index = survey_data_json_with_trailing_garbage.find(';\r\n\r\n')
try:
trailing_garbage_start_index = trailing_garbage_start_index if trailing_garbage_start_index > 0 else survey_data_json_with_trailing_garbage.find(';\n\n')
survey_data_json = json.loads(survey_data_json_with_trailing_garbage[starting_garbage_end_index:trailing_garbage_start_index])
except:
survey_data_json = None
if survey_data_json:
try:
survey_aggregates = survey_data_json.get('model', {}).get('insights', {}).get('aggregates', [])
except:
survey_aggregates = []
else:
survey_aggregates = []
survey_scores = {
'Helpfulness Count': '',
'Helpfulness Score': '',
'Scheduling Count': '',
'Scheduling Score': '',
'Staff Count': '',
'Staff Score': '',
'Trustworthiness Count': '',
'Trustworthiness Score': ''
}
if len(survey_aggregates):
for survey in survey_aggregates:
survey_scores[str(survey.get('title') + ' Count')] = survey.get('responseCount')
survey_scores[str(survey.get('title') + ' Score')] = survey.get('actualScore')
profile_provider_to_the_end = html_string[html_string.find('profile.provider'):]
profile_provider = profile_provider_to_the_end[len('profile.provider = '):profile_provider_to_the_end.find(';\r\n')]
profile_provider = profile_provider[:profile_provider.find(';\n\t\t')]
locations_provider_to_the_end = html_string[html_string.find('pageState.facilityLocations'):]
locations_provider = locations_provider_to_the_end[len('pageState.facilityLocations = '):locations_provider_to_the_end.find(';\n')]
info_dict = {}
try:
profile_provider_json = json.loads(profile_provider)
# locations_provider_json = json.loads(locations_provider)
# I don't think you are going to get enough of these for it to be worth spending the time to parse it out
# If I'm wrong I can do it, otherwise I'm just providing all the data.
malpractices = profile_provider_json.get('malpractices')
sanctions = profile_provider_json.get('sanctions')
age = profile_provider_json.get('age')
degree = profile_provider_json.get('degree')
healthgrades_id = profile_provider_json.get('id')
languages = profile_provider_json.get('languages')
# locations = [location.get('Name') for location in locations_provider_json]
educations = profile_provider_json.get('education')
med_school_filter = [[education['name'], education['year']] for education in educations if education['educationType'] == 'MEDSCH']
med_school = med_school_filter[0][0] if len(med_school_filter) else None
med_school_year = med_school_filter[0][1] if len(med_school_filter) else None
residency_filter = [[education['name'], education['year']] for education in educations if education['educationType'] == 'RESIDE']
residency = residency_filter[0][0] if len(residency_filter) else None
residency_year = residency_filter[0][1] if len(residency_filter) else None
specialties = [specialty.get('name') for specialty in profile_provider_json.get('specialties')]
zip_code = profile_provider_json.get('primaryPractice', {}).get('offices', [])[0].get('address', {}).get('location', {}).get('region', {}).get('zip')
affiliated_hospitals = profile_provider_json.get('affiliatedHospitals')
affiliated_hospital_dict = {}
if affiliated_hospitals:
for i, hospital in enumerate(affiliated_hospitals):
affiliated_hospital_dict['affiliated_hospital_' + str(i) + '_name'] = hospital.get('name')
affiliated_hospital_dict['affiliated_hospital_' + str(i) + '_teaching'] = hospital.get('isTeachingHospital')
fellowship_filter = [{'name': education['name'], 'year': education['year']} for education in educations if education['educationType'] == 'FELLOW']
fellow_dict = {}
if fellowship_filter:
for i, fellowship in enumerate(fellowship_filter):
fellow_dict['fellow_' + str(i) + '_name'] = fellowship['name']
fellow_dict['fellow_' + str(i) + '_year'] = fellowship['year']
insurances = len(profile_provider_json.get('insuranceAccepted'))
medicare = False
if len(profile_provider_json.get('insuranceAccepted')):
for insurance in profile_provider_json.get('insuranceAccepted'):
if insurance.get('code') == 'MEDICA':
medicare = True
# Need to break this up to be more userful. Need to validate that all questions are the same across providers
# FOr now I'll just provide it all
patient_experience_surveys = profile_provider_json.get('patientExperienceSurveys')
info_dict = {
'affiliated_hospital_1_name': affiliated_hospital_dict.get('affiliated_hospital_1_name'),
'affiliated_hospital_1_teaching': affiliated_hospital_dict.get('affiliated_hospital_1_teaching'),
'affiliated_hospital_2_name': affiliated_hospital_dict.get('affiliated_hospital_2_name'),
'affiliated_hospital_2_teaching': affiliated_hospital_dict.get('affiliated_hospital_2_teaching'),
'affiliated_hospital_3_name': affiliated_hospital_dict.get('affiliated_hospital_3_name'),
'affiliated_hospital_3_teaching': affiliated_hospital_dict.get('affiliated_hospital_3_teaching'),
'age': age,
'degree': degree,
'healthgrades_id': healthgrades_id,
'fellow_1_name': fellow_dict.get('fellow_1_name'),
'fellow_1_year': fellow_dict.get('fellow_1_year'),
'fellow_2_name': fellow_dict.get('fellow_2_name'),
'fellow_2_year': fellow_dict.get('fellow_2_year'),
'fellow_3_name': fellow_dict.get('fellow_3_name'),
'fellow_3_year': fellow_dict.get('fellow_3_year'),
'insurances': insurances,
'languages': languages,
'medicare': medicare,
'med_school': med_school,
'med_school_year': med_school_year,
'patient_experience_surveys': patient_experience_surveys,
'residency': residency,
'residency_year': residency_year,
'specialties': specialties,
'zip_code': str(zip_code) if len(str(zip_code)) == 5 else '0' + str(zip_code)
}
if malpractices:
global malpractices_list
malpractices_dict = {}
for i in range(10):
malpractices_dict.update(get_empty_malpractice_dict(str(i + 1)))
for i, malpractice in enumerate(malpractices):
for key, value in malpractice.iteritems():
malpractices_dict[str(i) + '-' + key] = value if value else ''
to_append = malpractices_dict.copy()
to_append.update({
'healthgrades_id': healthgrades_id,
})
malpractices_list.append(to_append)
if sanctions:
global sanctions_list
sanctions_dict = {}
for i in range(10):
sanctions_dict.update(get_empty_sanctions_dict(str(i + 1)))
for i, sanction in enumerate(sanctions):
for key, value in sanction.iteritems():
sanctions_dict[str(i) + '-' + key] = value if value else ''
to_append = sanctions_dict.copy()
to_append.update({
'healthgrades_id': healthgrades_id,
})
sanctions_list.append(to_append)
if patient_experience_surveys:
global patient_experience_surveys_list
experience_surveys = {
'223-count': '',
'223-providerScorePercent': '',
'223-nationalScore': '',
'223-providerScoreRoundedPercent': '',
'223-nationalScorePercent': '',
'223-question': '',
'223-providerScore': '',
'223-resultsSortOrder': '',
'223-roundedProviderScoreDescription': '',
'223-comparisonText': '',
'223-roundedNationalScoreDescription': '',
'223-nationalScoreRoundedPercent': '',
'224-count': '',
'224-providerScorePercent': '',
'224-nationalScore': '',
'224-providerScoreRoundedPercent': '',
'224-nationalScorePercent': '',
'224-question': '',
'224-providerScore': '',
'224-resultsSortOrder': '',
'224-roundedProviderScoreDescription': '',
'224-comparisonText': '',
'224-roundedNationalScoreDescription': '',
'224-nationalScoreRoundedPercent': '',
'225-count': '',
'225-providerScorePercent': '',
'225-nationalScore': '',
'225-providerScoreRoundedPercent': '',
'225-nationalScorePercent': '',
'225-question': '',
'225-providerScore': '',
'225-resultsSortOrder': '',
'225-roundedProviderScoreDescription': '',
'225-comparisonText': '',
'225-roundedNationalScoreDescription': '',
'225-nationalScoreRoundedPercent': '',
'226-count': '',
'226-providerScorePercent': '',
'226-nationalScore': '',
'226-providerScoreRoundedPercent': '',
'226-nationalScorePercent': '',
'226-question': '',
'226-providerScore': '',
'226-resultsSortOrder': '',
'226-roundedProviderScoreDescription': '',
'226-comparisonText': '',
'226-roundedNationalScoreDescription': '',
'226-nationalScoreRoundedPercent': '',
'227-count': '',
'227-providerScorePercent': '',
'227-nationalScore': '',
'227-providerScoreRoundedPercent': '',
'227-nationalScorePercent': '',
'227-question': '',
'227-providerScore': '',
'227-resultsSortOrder': '',
'227-roundedProviderScoreDescription': '',
'227-comparisonText': '',
'227-roundedNationalScoreDescription': '',
'227-nationalScoreRoundedPercent': '',
'228-count': '',
'228-providerScorePercent': '',
'228-nationalScore': '',
'228-providerScoreRoundedPercent': '',
'228-nationalScorePercent': '',
'228-question': '',
'228-providerScore': '',
'228-resultsSortOrder': '',
'228-roundedProviderScoreDescription': '',
'228-comparisonText': '',
'228-roundedNationalScoreDescription': '',
'228-nationalScoreRoundedPercent': '',
'229-count': '',
'229-providerScorePercent': '',
'229-nationalScore': '',
'229-providerScoreRoundedPercent': '',
'229-nationalScorePercent': '',
'229-question': '',
'229-providerScore': '',
'229-resultsSortOrder': '',
'229-roundedProviderScoreDescription': '',
'229-comparisonText': '',
'229-roundedNationalScoreDescription': '',
'229-nationalScoreRoundedPercent': '',
'230-count': '',
'230-providerScorePercent': '',
'230-nationalScore': '',
'230-providerScoreRoundedPercent': '',
'230-nationalScorePercent': '',
'230-question': '',
'230-providerScore': '',
'230-resultsSortOrder': '',
'230-roundedProviderScoreDescription': '',
'230-comparisonText': '',
'230-roundedNationalScoreDescription': '',
'230-nationalScoreRoundedPercent': '',
'231-count': '',
'231-providerScorePercent': '',
'231-nationalScore': '',
'231-providerScoreRoundedPercent': '',
'231-nationalScorePercent': '',
'231-question': '',
'231-providerScore': '',
'231-resultsSortOrder': '',
'231-roundedProviderScoreDescription': '',
'231-comparisonText': '',
'231-roundedNationalScoreDescription': '',
'231-nationalScoreRoundedPercent': '',
}
remaining_survey_items = {}
experience_surveys_keys = list(experience_surveys.keys())
question_ids = [key.split('-')[0] for key in experience_surveys_keys]
questions_ids_set = set()
for question_id in question_ids:
questions_ids_set.add(question_id)
for obj in patient_experience_surveys:
for key, value in obj.iteritems():
if str(str(obj['questionID']) + '-' + key) in experience_surveys_keys:
experience_surveys[str(str(obj['questionID']) + '-' + key)] = value if value else ''
else:
remaining_survey_items[str(str(obj['questionID']) + '-' + key)] = value if value else ''
to_append = experience_surveys.copy()
to_append.update({
'healthgrades_id': healthgrades_id,
'remaining_survey_items': remaining_survey_items,
})
patient_experience_surveys_list.append(to_append)
info_dict.update(survey_scores)
return info_dict
except ValueError as e:
print e
return info_dict.update(survey_scores)
except TypeError as e:
print e
return info_dict.update(survey_scores)
except NameError as e:
print e
return info_dict.update(survey_scores)
except:
print("Unexpected error:", sys.exc_info()[0])
return info_dict.update(survey_scores)
for specialty in specialties_to_search:
search_params['what'] = specialty.get('what')
search_params['searchType'] = specialty.get('searchType')
what_we_want[specialty.get('what')] = []
total_count = 1
search_page = 1
counter = 0
# if specialty == 'AAC':
# search_page = 24
# counter = search_page * 100
while counter < total_count:
start = time.time()
search_params['pageNum'] = search_page
r = requests.get(base_url, params=search_params)
result = r.json()
search = result.get('search')
search_results = search.get('searchResults')
total_count = search_results.get('totalCount')
providers = search_results.get('provider')
provider_list = providers.get('results')
provider_info_list = []
for doc in provider_list:
provider_profile_info = get_provider_profile_data(doc.get('providerUrl'), doc)
doc_dict = {
'address': doc.get('address'),
'name': doc.get('displayName'),
'gender': doc.get('gender'),
'specialty': doc.get('specialty'),
'survey_rating': doc.get('surveyOverallRatingPercent'),
'survey_count': doc.get('surveyUserCount'),
}
if provider_profile_info:
doc_dict.update(provider_profile_info)
provider_info_list.append(doc_dict)
directory = ensure_dir('{}/'.format(specialty.get('what')))
filename =str(directory + 'complete-' + specialty.get('what') + '-' + str(search_page) + '-of' + '-' + str(int(total_count/search_params['pageSize.provider'])) + '-' + str(time.time()) + '.csv')
with open(filename, 'wb') as csvfile:
writer = csv.writer(csvfile)
writer.writerow(provider_info_list[0].keys())
for doctor in provider_info_list:
try:
writer.writerow(doctor.values())
except:
print('error with: ' + doctor['name'])
doctor_errors.append({'name':doctor['name'], 'healthgrades_id': doctor['healthgrades_id']})
continue
if provider_list_filenames.get(specialty.get('what')):
provider_list_filenames[specialty.get('what')].append(filename)
else:
provider_list_filenames[specialty.get('what')] = [filename]
if len(patient_experience_surveys_list) > 100:
more_surveys_filename = str('complete-surveys-' + str(time.time()) + '.csv')
if patient_experience_surveys_list_specialty_filenames.get(specialty.get('what')):
patient_experience_surveys_list_specialty_filenames[specialty.get('what')].append(more_surveys_filename)
else:
patient_experience_surveys_list_specialty_filenames[specialty.get('what')] = [more_surveys_filename]
create_patient_experience_surveys_csv(more_surveys_filename)
if len(malpractices_list) > 100:
malpractices_filename = str('complete-malpractices-' + str(time.time()) + '.csv')
create_malpractices_csv(malpractices_filename)
if len(sanctions_list) > 100:
sanctions_filename = str('complete-sanctions-' + str(time.time()) + '.csv')
create_sanctions_csv(sanctions_filename)
print (filename + ' was created')
end = time.time()
print search_page
print (end - start)
counter += len(provider_info_list)
print (str(str(counter) + '/' + str(total_count)))
search_page += 1
directory = ensure_dir('{}/'.format(specialty.get('what')))
merge_csvs(provider_list_filenames[specialty.get('what')], directory, 'info')
merge_csvs(patient_experience_surveys_list_specialty_filenames[specialty.get('what')], directory, 'patient_experience')
if len(patient_experience_surveys_list) > 0:
more_surveys_filename = str('complete-surveys-' + str(time.time()) + '.csv')
create_patient_experience_surveys_csv(more_surveys_filename)
if len(malpractices_list) > 0:
malpractices_filename = str('complete-malpractices-' + str(time.time()) + '.csv')
create_malpractices_csv(malpractices_filename)
if len(sanctions_list) > 0:
sanctions_filename = str('complete-sanctions-' + str(time.time()) + '.csv')
create_sanctions_csv(sanctions_filename)
pprint.pprint(doctor_errors)
directory = ensure_dir('errors/')
errors_filename = directory + '-' + str(time.time()) + '.csv'
create_errors_csv(errors_filename)
ipdb.set_trace()