Incluidas imagenes de prueba en los datos de pruebas médicas.

2.database/02.Datos_prueba.sql

@@ -658,14 +658,14 @@ INSERT INTO myhealth.visit(date, "time", observations, result, patientid, family
 ('2020-01-31','18:00:00','Observaciones de la visita 43861','',10,2);
 
 -- Insertar datos de prueba para medical test
-INSERT INTO myhealth.medicaltest(date, "time", observations, highresimage, type, patientid, specialistdoctorid) VALUES 
-('2019-12-23','09:00:00','Observaciones del medical test1','somehighresimage1', 'MAGNETIC_RESONANCE_IMAGING', 1, 1),
-('2019-12-24','19:20:00','Observaciones del medical test2','somehighresimage2', 'CT_SCAN', 1, 1),
-('2019-12-25','18:35:20','Observaciones del medical test3','somehighresimage3', 'BLOOD_TEST', 1, 1),
-('2019-12-26','08:15:10','Observaciones del medical test4','somehighresimage4', 'CT_SCAN', 4, 2),
-('2019-12-27','18:15:10','Observaciones del medical test5','somehighresimage5', 'CT_SCAN', 5, 1),
-('2019-12-28','22:15:40','Observaciones del medical test6','somehighresimage6', 'MAGNETIC_RESONANCE_IMAGING', 6, 3),
-('2019-12-28','23:15:40','Observaciones del medical test7','somehighresimage7', 'MAGNETIC_RESONANCE_IMAGING', 7, 1),
-('2019-12-29','11:12:20','Observaciones del medical test8','somehighresimage8', 'CT_SCAN', 8, 1),
-('2019-12-30','13:17:50','Observaciones del medical test9','somehighresimage9', 'MAGNETIC_RESONANCE_IMAGING', 2, 2),
-('2019-12-31','05:08:30','Observaciones del medical test10','somehighresimage10', 'MAGNETIC_RESONANCE_IMAGING', 4, 1);
+INSERT INTO myhealth.medicaltest(date, "time", observations, type, patientid, specialistdoctorid, highresimage) VALUES 
+('2019-12-23','09:00:00','Observaciones del medical test1','MAGNETIC_RESONANCE_IMAGING', 1, 1, 'data:image/jpeg;base64,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 truncated
+('2019-12-24','19:20:00','Observaciones del medical test2','CT_SCAN', 1, 1, 'data:image/jpeg;base64,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 truncated
+('2019-12-25','18:35:20','Observaciones del medical test3','BLOOD_TEST', 1, 1, null),
+('2019-12-26','08:15:10','Observaciones del medical test4','CT_SCAN', 4, 2, 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+('2019-12-27','18:15:10','Observaciones del medical test5','CT_SCAN', 5, 1, 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truncated
+('2019-12-28','22:15:40','Observaciones del medical test6','MAGNETIC_RESONANCE_IMAGING', 6, 3, 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truncated
+('2019-12-28','23:15:40','Observaciones del medical test7','MAGNETIC_RESONANCE_IMAGING', 7, 1, 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truncated
+('2019-12-29','11:12:20','Observaciones del medical test8','CT_SCAN', 8, 1, 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truncated
+('2019-12-30','13:17:50','Observaciones del medical test9','MAGNETIC_RESONANCE_IMAGING', 2, 2, 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truncated
+('2019-12-31','05:08:30','Observaciones del medical test10','MAGNETIC_RESONANCE_IMAGING', 4, 1, 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truncated