Exam Simulator Generator (based on the markdown files)

exam-simulator.py

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+import os
+import random
+
+exam_composition = [{
+        "name": 'a.core_concepts.md',
+        "percentage": 13
+    },{
+        "name": 'b.multi_container_pods.md',
+        "percentage": 10
+    },{
+        "name": 'c.pod_design.md',
+        "percentage": 20
+    },{
+        "name": 'd.configuration.md',
+        "percentage": 18
+    },{
+        "name": 'e.observability.md',
+        "percentage": 18
+    },{
+        "name": 'f.services.md',
+        "percentage": 13
+    },{
+        "name": 'g.state.md',
+        "percentage": 8
+    }
+]
+def read_questions(file:str):
+    return os.popen(f"cat {file} | grep '### '").readlines()
+
+def choose_random_questions(exam_composition, total, random_questions=set()):
+    for concept in exam_composition:
+        name = concept['name']
+        questions = read_questions(name)
+        size_questions = int((concept['percentage']/100)*total)
+        # The ammount that will be tried on each concepts
+        x_times = 3
+
+        while size_questions != 0 and len(random_questions) < total and x_times != 0:
+            size_before = len(random_questions)
+            selected_question = random.sample(questions, 1)[0]
+            random_questions.add(f"{name} {selected_question}")
+            size_after = len(random_questions)
+            # when select a question that is not selected it decrease by one.
+            size_questions = size_questions - (len(random_questions) - size_before)
+            # when the question is equals that a one already selected
+            if (size_after == size_before):
+                x_times = x_times - 1
+
+        if len(random_questions) >= total:
+            return random_questions
+
+    return choose_random_questions(exam_composition, total, random_questions)
+
+def create_simulation():
+    total = int(input("how many questions (20-30)?\n"))
+    print(f"Generated {total} questions")
+    print("\nThe online, proctored, performance-based test consists of a set of performance-based items (problems) to be solved in a command line and is expected to take approximately two (2) hours to complete.\n")
+
+    return choose_random_questions(exam_composition, total)
+
+if __name__ == '__main__':
+    questions = create_simulation()
+
+    for index, question in enumerate(questions, start=1):
+        fp, q = question.split(" ### ")
+        print(f"{index} - {fp}")
+        print(q)
+
+
+# TO RUN ON COMMAND LINE AND CREATE A FILE:
+# $ echo 26 | /usr/bin/python3.8 ./exam-simulator.py > exam-$(date +"%Y-%m-%d").txt