def _compare_vardecentraler_with_hitta (self):
for vrow_h in self.vardcentraler_reader:
#-------------------------------------------------------------------------------
# Special Case
if vrow_h['PARENT_WORKPLACE_NAME'] == 'Familjeläkarna i Sverige AB':
vrow_h['PARENT_WORKPLACE_NAME'] = 'Familjeläkarna'
#-------------------------------------------------------------------------------
hitta_results_rows_h = self.hitta_results_h.get (vrow_h['PARENT_WORKPLACE_NAME'], [])
eniro_results_rows_h = self.eniro_results_h.get (vrow_h['PARENT_WORKPLACE_NAME'], [])
hitta_eniro_results_rows_h = hitta_results_rows_h + eniro_results_rows_h
row_h = self._get_best_matching_row_h (vrow_h, hitta_eniro_results_rows_h)
if row_h:
if not row_h['FOUND_NAME']:
row_h['VARDCENTRAL'] = "NO"
elif self.primary_clinic_results_h.get (row_h['FOUND_NAME'], []):
row_h['VARDCENTRAL'] = "YES"
else:
row_h['VARDCENTRAL'] = "NO"
self._set_color (row_h)
csv_hitta_vardcentraler.write_row_h(row_h)
def parse(self):
"""def: parse"""
for row_h in self.doctor_match_result_reader:
if not row_h["FOUND_DOCTORS_URL"]:
csv_hitta_vardcentraler.write_row_h(row_h)
continue
if row_h["FOUND_DOCTORS_URL"] == "":
csv_hitta_vardcentraler.write_row_h(row_h)
continue
home_urls = row_h["FOUND_DOCTORS_URL"]
self.doctor_tag = row_h["FOUND_DOCTOR_TAG"]
all_names = []
for home_url in row_h["FOUND_DOCTORS_URL"].split("|"):
names = self.get_all_names(home_url)
all_names = all_names + names
all_names_str = "|".join(all_names)
row_h["FOUND_ALL_NAMES"] = cp1252(all_names_str)
csv_hitta_vardcentraler.write_row_h(row_h)
def parse (self):
"""def: parse"""
for row_h in self.doctor_match_result_reader:
if not row_h ['FOUND_DOCTORS_URL']:
csv_hitta_vardcentraler.write_row_h(row_h)
continue
if row_h ['FOUND_DOCTORS_URL'] == "":
csv_hitta_vardcentraler.write_row_h(row_h)
continue
home_urls = row_h ['FOUND_DOCTORS_URL']
self.doctor_tag = row_h ['FOUND_DOCTOR_TAG']
all_names = []
for home_url in row_h['FOUND_DOCTORS_URL'].split("|"):
names = self.get_all_names (home_url)
all_names = all_names + names
all_names_str = '|'.join(all_names)
row_h["FOUND_ALL_NAMES"] = cp1252(all_names_str)
row_h ['DATE'] = datetime.datetime.today().strftime('%Y%m%d')
csv_hitta_vardcentraler.write_row_h(row_h)
