def find_nct_by_page():
requestion_dict = request.get_json()
working_nct_id_list = requestion_dict['working_nct_id_list']
npag = requestion_dict['npag']
nct_details_for_this_page = qst.find_nct_details(working_nct_id_list,npag)
size_of_active_trials = qst.find_size_of_active_trials(working_nct_id_list)
return jsonify(working_nct_id_list = working_nct_id_list, npag = npag, nct_details_for_this_page = nct_details_for_this_page, size_of_active_trials = size_of_active_trials)
def get_to_pre_questions():
# # get parameters
# locn = request.args.get('locn')
# miles = request.args.get('miles')
# trial_type = request.args.get('trial_type')
# active_restriction = request.args.get('active_restriction')
# keyword_search = request.args.get('keyword_search')
# retrieve trials within set mile range of given zip code
# znct = ctgov.get_nct_list_from_zip(locn, miles)
# znct = session.get('nearby_nct_list')
# print('rnct: ' + str(znct))
# retrieve trials based on keyword search provided by user
# knct = ctgov.get_nct_list_from_keywords(keyword_search)
# knct = session.get('keyword_trial_list')
# print('knct: ' + str(knct))
# retrieve trials which are of a given trial type and status (based on active restriction checkbox)
# anct = qst.find_active_nct_id_list(trial_type, active_restriction)
# anct = session.get('trial_type_list')
# print('anct: ' + str(anct))
# compare nearby nct list with active list
# zanct = []
# nearby_nct_list = [x.split(';')[0] for x in znct]
# keyword_nct_list = [x.split(';')[0] for x in knct]
# for item in anct:
# split_item = item.split(';')
# if split_item[1] in nearby_nct_list and split_item[1] in keyword_nct_list:
# zanct.append([split_item[0], split_item[1], int(split_item[2])])
#
# working_nct_id_list = qst.init_working_nct_id_list(zanct)
# session['nearby_active_nct_list'] = zanct
working_nct_list_pre_process = session.get('working_nct_list_pre_process')
working_nct_id_list = qst.init_working_nct_id_list(
working_nct_list_pre_process)
unique_nct_ct = qst.find_size_of_active_trials(working_nct_id_list)
return jsonify(working_nct_id_list=working_nct_id_list,
unique_nct_ct=unique_nct_ct)
def find_nct_by_page():
requestion_dict = request.get_json()
working_nct_id_list = requestion_dict['working_nct_id_list']
npag = requestion_dict['npag']
nct_details_for_this_page = qst.find_nct_details(working_nct_id_list, npag)
print('find_nct_by_page: ' + str(working_nct_id_list))
size_of_active_trials = qst.find_size_of_active_trials(working_nct_id_list)
print('size_of_active_trials: ' + str(size_of_active_trials))
# fengyang
nct_loc_for_this_page = qst.find_all_locations_on_current_page(
working_nct_id_list, npag)[0]
nct_id_rep_for_this_page = qst.find_all_locations_on_current_page(
working_nct_id_list, npag)[1]
# print('len_of_all_marker: '+ str(len(nct_loc_for_this_page)))
# nct_log_nearby
input_latlng = requestion_dict['input_zipcode_latlng']
input_miles = requestion_dict['input_miles']
nct_loc_nearby_for_this_page = qst.find_nct_loc_within_range(
nct_loc_for_this_page, nct_id_rep_for_this_page, input_latlng,
input_miles)[0]
nct_id_nearby_for_this_page = qst.find_nct_loc_within_range(
nct_loc_for_this_page, nct_id_rep_for_this_page, input_latlng,
input_miles)[1]
nct_title_nearby_for_this_page = \
qst.find_nct_loc_within_range(nct_loc_for_this_page, nct_id_rep_for_this_page, input_latlng, input_miles)[2]
return jsonify(
working_nct_id_list=working_nct_id_list,
npag=npag,
nct_details_for_this_page=nct_details_for_this_page,
size_of_active_trials=size_of_active_trials,
# fengyang
nct_loc_for_this_page=nct_loc_for_this_page,
nct_loc_nearby_for_this_page=nct_loc_nearby_for_this_page,
nct_id_nearby_for_this_page=nct_id_nearby_for_this_page,
nct_title_nearby_for_this_page=nct_title_nearby_for_this_page,
)