Added the database code

app.py

@@ -11,6 +11,48 @@
 
 app = Flask(__name__)
 app.url_map.strict_slashes = False
+app.config['SQLALCHEMY_DATABASE_URI'] = 'sqlite:///cancer-data-collection.db'
+app.config['SQLALCHEMY_TRACK_MODIFICATIONS'] = False
+db = SQLAlchemy(app)
+
+class Patient(db.Model):
+    __tablename__ = "patient_data"
+    id = db.Column(db.Integer, primary_key=True)
+
+    radius_mean = db.Column(db.Float, nullable=False)
+    texture_mean = db.Column(db.Float, nullable=False)
+    peri_mean = db.Column(db.Float, nullable=False)
+    area_mean = db.Column(db.Float, nullable=False)
+    smooth_mean = db.Column(db.Float, nullable=False)
+    compact_mean = db.Column(db.Float, nullable=False)
+    concavity_mean = db.Column(db.Float, nullable=False)
+    concave_p_mean = db.Column(db.Float, nullable=False)
+    symmetry_mean = db.Column(db.Float, nullable=False)
+    frac_dim_mean = db.Column(db.Float, nullable=False)
+
+    radius_se = db.Column(db.Float, nullable=False)
+    texture_se = db.Column(db.Float, nullable=False)
+    peri_se = db.Column(db.Float, nullable=False)
+    area_se = db.Column(db.Float, nullable=False)
+    smooth_se = db.Column(db.Float, nullable=False)
+    compact_se = db.Column(db.Float, nullable=False)
+    concavity_se = db.Column(db.Float, nullable=False)
+    concave_p_se = db.Column(db.Float, nullable=False)
+    symmetry_se = db.Column(db.Float, nullable=False)
+    frac_dim_se = db.Column(db.Float, nullable=False)
+
+    radius_wr = db.Column(db.Float, nullable=False)
+    texture_wr = db.Column(db.Float, nullable=False)
+    peri_wr = db.Column(db.Float, nullable=False)
+    area_wr = db.Column(db.Float, nullable=False)
+    smooth_wr = db.Column(db.Float, nullable=False)
+    compact_wr = db.Column(db.Float, nullable=False)
+    concavity_wr = db.Column(db.Float, nullable=False)
+    concave_p_wr = db.Column(db.Float, nullable=False)
+    symmetry_wr = db.Column(db.Float, nullable=False)
+    frac_dim_wr = db.Column(db.Float, nullable=False)
+
+db.create_all()
 
 @app.route('/')
 def index():
@@ -26,7 +68,6 @@ def a():
 
 @app.route('/predict', methods=['POST']) 
 def login_user():
-
 	data_points = list()
 	data = []
 	string = 'value'
@@ -37,6 +78,48 @@ def login_user():
 		data_points.append(data[i])
 
 	print(data_points)
+
+#################################Adding the Database#####################################
+	new_patient = Patient(
+
+	    radius_mean = data[0],
+	    texture_mean = data[1],
+	    peri_mean = data[2],
+	    area_mean = data[3],
+	    smooth_mean = data[4],
+	    compact_mean = data[5],
+	    concavity_mean = data[6],
+	    concave_p_mean = data[7],
+	    symmetry_mean = data[8],
+	    frac_dim_mean = data[9],
+
+	    radius_se = data[10],    
+	    texture_se = data[11],
+	    peri_se = data[12],
+	    area_se = data[13],
+	    smooth_se = data[14],
+	    compact_se = data[15],
+	    concavity_se = data[16],
+	    concave_p_se = data[17],
+	    symmetry_se = data[18],
+	    frac_dim_se = data[19],
+
+	    radius_wr = data[20],    
+	    texture_wr = data[21],
+	    peri_wr = data[22],
+	    area_wr = data[23],
+	    smooth_wr = data[24],
+	    compact_wr = data[25],
+	    concavity_wr = data[26],
+	    concave_p_wr = data[27],
+	    symmetry_wr = data[28],
+	    frac_dim_wr = data[29],
+
+	)
+
+	db.session.add(new_patient)
+	db.session.commit()
+#########################################################################################################
 
 	data_np = np.asarray(data, dtype = float)
 	data_np = data_np.reshape(1,-1)