Update app.py

app.py

@@ -544,7 +544,7 @@ def result():
     if 'email' not in session:
         return redirect(url_for('home'))
 
-    app.config['MYSQL_DB'] = 'sql12660485'
+    app.config['MYSQL_DB'] = 'test'
     curr = mysql.cursor()
 
     curr.execute("SELECT * FROM `custom` WHERE id=%s AND type=%s", (session['id'], session['type'],))
@@ -553,8 +553,6 @@ def result():
     curr.execute("SELECT result FROM `custom` WHERE type=%s", (session['type'],))
     avg = curr.fetchall()
 
-    avg_tuple = tuple({'result': item[0]} for item in avg)
-
     dynamic = [list(eval(d[0])) for d in avg]
 
     dyna = []
@@ -565,9 +563,8 @@ def result():
             temp2 = temp2 + dynamic[j][i]
         dyna.append(temp2 / len(dynamic))
 
-
     ques = []
-    for i in range(1, len(dyna)+1):
+    for i in range(1, len(dyna) + 1):
         ques.append("Question " + str(i) + "")
 
     curr.execute("SELECT * FROM assessments WHERE assessid = %s", (session['type'],))
@@ -592,71 +589,121 @@ def result():
         avg_score = round(((temp_score + 100) / 200) * (90 - 10) + 10, 2)
         if key == 1101:
             if avg_score >= 66:
-                result_dict[key] = {"average_score": avg_score, "name": "Psychological well being", "description": "Refers to an individual`s mental state and overall happiness, including feelings of fulfillment, purpose, and contentment.", "suggestions_text": [list(eval(d[3])) for d in suggests if d[0] == 1101]}
+                result_dict[key] = {"average_score": avg_score, "name": "Psychological well being",
+                                    "description": "Refers to an individual`s mental state and overall happiness, including feelings of fulfillment, purpose, and contentment.",
+                                    "suggestions_text": [list(eval(d[3])) for d in suggests if d[0] == 1101]}
             elif avg_score >= 30:
-                result_dict[key] = {"average_score": avg_score, "name": "Psychological well being", "description": "Refers to an individual`s mental state and overall happiness, including feelings of fulfillment, purpose, and contentment.", "suggestions_text": [list(eval(d[2])) for d in suggests if d[0] == 1101]}
+                result_dict[key] = {"average_score": avg_score, "name": "Psychological well being",
+                                    "description": "Refers to an individual`s mental state and overall happiness, including feelings of fulfillment, purpose, and contentment.",
+                                    "suggestions_text": [list(eval(d[2])) for d in suggests if d[0] == 1101]}
             elif avg_score < 30:
-                result_dict[key] = {"average_score": avg_score, "name": "Psychological well being", "description": "Refers to an individual`s mental state and overall happiness, including feelings of fulfillment, purpose, and contentment.", "suggestions_text": [list(eval(d[1])) for d in suggests if d[0] == 1101]}
+                result_dict[key] = {"average_score": avg_score, "name": "Psychological well being",
+                                    "description": "Refers to an individual`s mental state and overall happiness, including feelings of fulfillment, purpose, and contentment.",
+                                    "suggestions_text": [list(eval(d[1])) for d in suggests if d[0] == 1101]}
 
         elif key == 1102:
             if avg_score >= 66:
-                result_dict[key] = {"average_score": avg_score, "name": "Health aspects", "description": "Refers to an individual`s physical health, including factors such as nutrition, exercise, and access to medical care.", "suggestions_text": [list(eval(d[3])) for d in suggests if d[0] == 1102]}
+                result_dict[key] = {"average_score": avg_score, "name": "Health aspects",
+                                    "description": "Refers to an individual`s physical health, including factors such as nutrition, exercise, and access to medical care.",
+                                    "suggestions_text": [list(eval(d[3])) for d in suggests if d[0] == 1102]}
             elif avg_score >= 30:
-                result_dict[key] = {"average_score": avg_score, "name": "Health aspects", "description": "Refers to an individual`s physical health, including factors such as nutrition, exercise, and access to medical care.", "suggestions_text": [list(eval(d[2])) for d in suggests if d[0] == 1102]}
+                result_dict[key] = {"average_score": avg_score, "name": "Health aspects",
+                                    "description": "Refers to an individual`s physical health, including factors such as nutrition, exercise, and access to medical care.",
+                                    "suggestions_text": [list(eval(d[2])) for d in suggests if d[0] == 1102]}
             elif avg_score < 30:
-                result_dict[key] = {"average_score": avg_score, "name": "Health aspects", "description": "Refers to an individual`s physical health, including factors such as nutrition, exercise, and access to medical care.", "suggestions_text": [list(eval(d[1])) for d in suggests if d[0] == 1102]}
+                result_dict[key] = {"average_score": avg_score, "name": "Health aspects",
+                                    "description": "Refers to an individual`s physical health, including factors such as nutrition, exercise, and access to medical care.",
+                                    "suggestions_text": [list(eval(d[1])) for d in suggests if d[0] == 1102]}
 
         elif key == 1103:
             if avg_score >= 66:
-                result_dict[key] = {"average_score": avg_score, "name": "Time management", "description": "Refers to an individual`s ability to effectively manage their time and prioritize tasks to maximize productivity and reduce stress.", "suggestions_text": [list(eval(d[3])) for d in suggests if d[0] == 1103]}
+                result_dict[key] = {"average_score": avg_score, "name": "Time management",
+                                    "description": "Refers to an individual`s ability to effectively manage their time and prioritize tasks to maximize productivity and reduce stress.",
+                                    "suggestions_text": [list(eval(d[3])) for d in suggests if d[0] == 1103]}
             elif avg_score >= 30:
-                result_dict[key] = {"average_score": avg_score, "name": "Time management", "description": "Refers to an individual`s ability to effectively manage their time and prioritize tasks to maximize productivity and reduce stress.", "suggestions_text": [list(eval(d[2])) for d in suggests if d[0] == 1103]}
+                result_dict[key] = {"average_score": avg_score, "name": "Time management",
+                                    "description": "Refers to an individual`s ability to effectively manage their time and prioritize tasks to maximize productivity and reduce stress.",
+                                    "suggestions_text": [list(eval(d[2])) for d in suggests if d[0] == 1103]}
             elif avg_score < 30:
-                result_dict[key] = {"average_score": avg_score, "name": "Time management", "description": "Refers to an individual`s ability to effectively manage their time and prioritize tasks to maximize productivity and reduce stress.", "suggestions_text": [list(eval(d[1])) for d in suggests if d[0] == 1103]}
+                result_dict[key] = {"average_score": avg_score, "name": "Time management",
+                                    "description": "Refers to an individual`s ability to effectively manage their time and prioritize tasks to maximize productivity and reduce stress.",
+                                    "suggestions_text": [list(eval(d[1])) for d in suggests if d[0] == 1103]}
 
         elif key == 1104:
             if avg_score >= 66:
-                result_dict[key] = {"average_score": avg_score, "name": "Educational standards", "description": "Refers to the quality of education provided in a given community, including factors such as curriculum, teaching quality, and access to resources.", "suggestions_text": [list(eval(d[3])) for d in suggests if d[0] == 1104]}
+                result_dict[key] = {"average_score": avg_score, "name": "Educational standards",
+                                    "description": "Refers to the quality of education provided in a given community, including factors such as curriculum, teaching quality, and access to resources.",
+                                    "suggestions_text": [list(eval(d[3])) for d in suggests if d[0] == 1104]}
             elif avg_score >= 30:
-                result_dict[key] = {"average_score": avg_score, "name": "Educational standards", "description": "Refers to the quality of education provided in a given community, including factors such as curriculum, teaching quality, and access to resources.", "suggestions_text": [list(eval(d[2])) for d in suggests if d[0] == 1104]}
+                result_dict[key] = {"average_score": avg_score, "name": "Educational standards",
+                                    "description": "Refers to the quality of education provided in a given community, including factors such as curriculum, teaching quality, and access to resources.",
+                                    "suggestions_text": [list(eval(d[2])) for d in suggests if d[0] == 1104]}
             elif avg_score < 30:
-                result_dict[key] = {"average_score": avg_score, "name": "Educational standards", "description": "Refers to the quality of education provided in a given community, including factors such as curriculum, teaching quality, and access to resources.", "suggestions_text": [list(eval(d[1])) for d in suggests if d[0] == 1104]}
+                result_dict[key] = {"average_score": avg_score, "name": "Educational standards",
+                                    "description": "Refers to the quality of education provided in a given community, including factors such as curriculum, teaching quality, and access to resources.",
+                                    "suggestions_text": [list(eval(d[1])) for d in suggests if d[0] == 1104]}
 
         elif key == 1105:
             if avg_score >= 66:
-                result_dict[key] = {"average_score": avg_score, "name": "Cultural diversity", "description": "Refers to the range of cultures, beliefs, and practices within a given community, and the level of acceptance and celebration of diversity.", "suggestions_text": [list(eval(d[3])) for d in suggests if d[0] == 1105]}
+                result_dict[key] = {"average_score": avg_score, "name": "Cultural diversity",
+                                    "description": "Refers to the range of cultures, beliefs, and practices within a given community, and the level of acceptance and celebration of diversity.",
+                                    "suggestions_text": [list(eval(d[3])) for d in suggests if d[0] == 1105]}
             elif avg_score >= 30:
-                result_dict[key] = {"average_score": avg_score, "name": "Cultural diversity", "description": "Refers to the range of cultures, beliefs, and practices within a given community, and the level of acceptance and celebration of diversity.", "suggestions_text": [list(eval(d[2])) for d in suggests if d[0] == 1105]}
+                result_dict[key] = {"average_score": avg_score, "name": "Cultural diversity",
+                                    "description": "Refers to the range of cultures, beliefs, and practices within a given community, and the level of acceptance and celebration of diversity.",
+                                    "suggestions_text": [list(eval(d[2])) for d in suggests if d[0] == 1105]}
             elif avg_score < 30:
-                result_dict[key] = {"average_score": avg_score, "name": "Cultural diversity", "description": "Refers to the range of cultures, beliefs, and practices within a given community, and the level of acceptance and celebration of diversity.", "suggestions_text": [list(eval(d[1])) for d in suggests if d[0] == 1105]}
+                result_dict[key] = {"average_score": avg_score, "name": "Cultural diversity",
+                                    "description": "Refers to the range of cultures, beliefs, and practices within a given community, and the level of acceptance and celebration of diversity.",
+                                    "suggestions_text": [list(eval(d[1])) for d in suggests if d[0] == 1105]}
 
         elif key == 1106:
             if avg_score >= 66:
-                result_dict[key] = {"average_score": avg_score, "name": "Social well-being", "description": "Social well-being refers to the quality of an individual`s social interactions, relationships, and sense of community belonging.", "suggestions_text": [list(eval(d[3])) for d in suggests if d[0] == 1106]}
+                result_dict[key] = {"average_score": avg_score, "name": "Social well-being",
+                                    "description": "Social well-being refers to the quality of an individual`s social interactions, relationships, and sense of community belonging.",
+                                    "suggestions_text": [list(eval(d[3])) for d in suggests if d[0] == 1106]}
             elif avg_score >= 30:
-                result_dict[key] = {"average_score": avg_score, "name": "Social well-being", "description": "Social well-being refers to the quality of an individual`s social interactions, relationships, and sense of community belonging.", "suggestions_text": [list(eval(d[2])) for d in suggests if d[0] == 1106]}
+                result_dict[key] = {"average_score": avg_score, "name": "Social well-being",
+                                    "description": "Social well-being refers to the quality of an individual`s social interactions, relationships, and sense of community belonging.",
+                                    "suggestions_text": [list(eval(d[2])) for d in suggests if d[0] == 1106]}
             elif avg_score < 30:
-                result_dict[key] = {"average_score": avg_score, "name": "Social well-being", "description": "Social well-being refers to the quality of an individual`s social interactions, relationships, and sense of community belonging.", "suggestions_text": [list(eval(d[1])) for d in suggests if d[0] == 1106]}
+                result_dict[key] = {"average_score": avg_score, "name": "Social well-being",
+                                    "description": "Social well-being refers to the quality of an individual`s social interactions, relationships, and sense of community belonging.",
+                                    "suggestions_text": [list(eval(d[1])) for d in suggests if d[0] == 1106]}
 
         elif key == 1107:
             if avg_score >= 66:
-                result_dict[key] = {"average_score": avg_score, "name": "Good governance", "description": "Refers to the effectiveness and transparency of governing systems and institutions in promoting the well-being of all members of a community.", "suggestions_text": [list(eval(d[3])) for d in suggests if d[0] == 1107]}
+                result_dict[key] = {"average_score": avg_score, "name": "Good governance",
+                                    "description": "Refers to the effectiveness and transparency of governing systems and institutions in promoting the well-being of all members of a community.",
+                                    "suggestions_text": [list(eval(d[3])) for d in suggests if d[0] == 1107]}
             elif avg_score >= 30:
-                result_dict[key] = {"average_score": avg_score, "name": "Good governance", "description": "Refers to the effectiveness and transparency of governing systems and institutions in promoting the well-being of all members of a community.", "suggestions_text": [list(eval(d[2])) for d in suggests if d[0] == 1107]}
+                result_dict[key] = {"average_score": avg_score, "name": "Good governance",
+                                    "description": "Refers to the effectiveness and transparency of governing systems and institutions in promoting the well-being of all members of a community.",
+                                    "suggestions_text": [list(eval(d[2])) for d in suggests if d[0] == 1107]}
             elif avg_score < 30:
-                result_dict[key] = {"average_score": avg_score, "name": "Good governance", "description": "Refers to the effectiveness and transparency of governing systems and institutions in promoting the well-being of all members of a community.", "suggestions_text": [list(eval(d[1])) for d in suggests if d[0] == 1107]}
+                result_dict[key] = {"average_score": avg_score, "name": "Good governance",
+                                    "description": "Refers to the effectiveness and transparency of governing systems and institutions in promoting the well-being of all members of a community.",
+                                    "suggestions_text": [list(eval(d[1])) for d in suggests if d[0] == 1107]}
 
         elif key == 1108:
             if avg_score >= 66:
-                result_dict[key] = {"average_score": avg_score, "name": "Community vitality", "description": "Refers to the health and vibrancy of a community, including factors such as social cohesion, civic engagement, and access to resources.", "suggestions_text": [list(eval(d[3])) for d in suggests if d[0] == 1108]}
+                result_dict[key] = {"average_score": avg_score, "name": "Community vitality",
+                                    "description": "Refers to the health and vibrancy of a community, including factors such as social cohesion, civic engagement, and access to resources.",
+                                    "suggestions_text": [list(eval(d[3])) for d in suggests if d[0] == 1108]}
             elif avg_score >= 30:
-                result_dict[key] = {"average_score": avg_score, "name": "Community vitality", "description": "Refers to the health and vibrancy of a community, including factors such as social cohesion, civic engagement, and access to resources.", "suggestions_text": [list(eval(d[2])) for d in suggests if d[0] == 1108]}
+                result_dict[key] = {"average_score": avg_score, "name": "Community vitality",
+                                    "description": "Refers to the health and vibrancy of a community, including factors such as social cohesion, civic engagement, and access to resources.",
+                                    "suggestions_text": [list(eval(d[2])) for d in suggests if d[0] == 1108]}
             elif avg_score < 30:
-                result_dict[key] = {"average_score": avg_score, "name": "Community vitality", "description": "Refers to the health and vibrancy of a community, including factors such as social cohesion, civic engagement, and access to resources.", "suggestions_text": [list(eval(d[1])) for d in suggests if d[0] == 1108]}
+                result_dict[key] = {"average_score": avg_score, "name": "Community vitality",
+                                    "description": "Refers to the health and vibrancy of a community, including factors such as social cohesion, civic engagement, and access to resources.",
+                                    "suggestions_text": [list(eval(d[1])) for d in suggests if d[0] == 1108]}
 
     suggest_dict = dict(sorted(result_dict.items()))
 
-    curr.execute("SELECT `Questions`,`response`, `result`, `datetime` FROM `custom`, `assessments` WHERE `id`=%s AND `type`=%s AND custom.type = assessments.assessId", (session['id'], session['type'],))
+    curr.execute(
+        "SELECT `Questions`,`response`, `result`, `datetime` FROM `custom`, `assessments` WHERE `id`=%s AND `type`=%s AND custom.type = assessments.assessId",
+        (session['id'], session['type'],))
     details = curr.fetchone()
 
     mysql.commit()