Fixed format

Author: OPSergio

relecov_tools/assets/institutions_utils/transform.py

@@ -1,33 +1,39 @@
 import pandas as pd
 import json
 
-csv_file = 'Hospitales_de_Espaadb.csv'  
+csv_file = "Hospitales_de_Espaadb.csv"
 df = pd.read_csv(csv_file)
 
 json_dict = {}
 
+
 def to_title_case(value, default="Desconocido"):
     if pd.isna(value) or value == "":
         return default
     return str(value).strip().title()
 
+
 for index, row in df.iterrows():
-    hospital_name = to_title_case(row['NOMBRE'])
+    hospital_name = to_title_case(row["NOMBRE"])
     json_dict[hospital_name] = {
-        "collecting_institution_address": to_title_case(row['DIRECCION']),
-        "collecting_institution_email": row['EMAIL'].strip() if not pd.isna(row['EMAIL']) else "Desconocido",
-        "collecting_institution_finalidad": to_title_case(row['FINALIDAD_ASISITENCIAL']),
-        "geo_loc_state": to_title_case(row['COMUNIDADES']),
-        "geo_loc_region": to_title_case(row.get('PROVINCIAS', None)),  
-        "geo_loc_city": to_title_case(row.get('MUNICIPIOS', None)),
-        "geo_loc_country": to_title_case(row.get('pais', None), default="Spain"),  
-        "submitting_institution": "",                         
-        "submitting_institution_address": "",                  
-        "submitting_institution_email": "" 
+        "collecting_institution_address": to_title_case(row["DIRECCION"]),
+        "collecting_institution_email": (
+            row["EMAIL"].strip() if not pd.isna(row["EMAIL"]) else "Desconocido"
+        ),
+        "collecting_institution_finalidad": to_title_case(
+            row["FINALIDAD_ASISITENCIAL"]
+        ),
+        "geo_loc_state": to_title_case(row["COMUNIDADES"]),
+        "geo_loc_region": to_title_case(row.get("PROVINCIAS", None)),
+        "geo_loc_city": to_title_case(row.get("MUNICIPIOS", None)),
+        "geo_loc_country": to_title_case(row.get("pais", None), default="Spain"),
+        "submitting_institution": "",
+        "submitting_institution_address": "",
+        "submitting_institution_email": "",
     }
 
-output_file = 'laboratory_address.json'
-with open(output_file, 'w', encoding='utf-8') as json_file:
+output_file = "laboratory_address.json"
+with open(output_file, "w", encoding="utf-8") as json_file:
     json.dump(json_dict, json_file, ensure_ascii=False, indent=4)
 
 print(f"Archivo JSON generado: {output_file}")
@@ -36,13 +42,13 @@ def to_title_case(value, default="Desconocido"):
 
 
 for index, row in df.iterrows():
-    hospital_name = to_title_case(row['NOMBRE'])
+    hospital_name = to_title_case(row["NOMBRE"])
     json_dict_coords[hospital_name] = {
         "geo_loc_latitude": f"{row['Y']:.4f}",
-        "geo_loc_longitude": f"{row['X']:.4f}" 
+        "geo_loc_longitude": f"{row['X']:.4f}",
     }
-output_file_coords = 'geo_loc_centers.json'
-with open(output_file_coords, 'w', encoding='utf-8') as json_file:
+output_file_coords = "geo_loc_centers.json"
+with open(output_file_coords, "w", encoding="utf-8") as json_file:
     json.dump(json_dict_coords, json_file, ensure_ascii=False, indent=4)
 
-print(f"Archivo JSON generado: {output_file_coords}")
+print(f"Archivo JSON generado: {output_file_coords}")