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Update backend/agents/scenario_agent.py
Browse files- backend/agents/scenario_agent.py +85 -19
backend/agents/scenario_agent.py
CHANGED
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@@ -164,8 +164,8 @@ class ScenarioAgent:
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base_prompt = f"""
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You are the Lead Game Designer for 'CodeCracker', an educational coding game for ages 10-14.
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Your task is to generate a UNIQUE STORY ARC of EXACTLY 5 interconnected game levels in JSON format.
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The story MUST be
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CURRENT SETTINGS:
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- Mode: {mode}
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@@ -180,7 +180,7 @@ class ScenarioAgent:
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{self._get_few_shot_examples(mode)}
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OUTPUT FORMAT: RAW JSON ONLY (No Markdown).
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The JSON must be an object with "story_arc_title" and a "levels" array containing
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"""
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if mode == "maze":
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@@ -370,22 +370,88 @@ class ScenarioAgent:
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elif mode == "blockly":
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return {
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"story_arc_title": "Logic Repair Arc",
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"levels": [
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"
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},
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}
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elif mode == "time_challenge":
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return {
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@@ -420,4 +486,4 @@ if __name__ == "__main__":
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load_dotenv()
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agent = ScenarioAgent()
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print("Testing Maze Generation...")
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print(json.dumps(agent.generate_level("maze", "Easy"), indent=2))
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base_prompt = f"""
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You are the Lead Game Designer for 'CodeCracker', an educational coding game for ages 10-14.
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Your task is to generate a UNIQUE STORY ARC of EXACTLY 5 interconnected game levels in JSON format.
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The story MUST be a single cohesive narrative that progresses from level 1 to level 5.
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Each level's 'story' field should build upon the previous one.
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CURRENT SETTINGS:
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- Mode: {mode}
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{self._get_few_shot_examples(mode)}
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OUTPUT FORMAT: RAW JSON ONLY (No Markdown).
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The JSON must be an object with "story_arc_title" and a "levels" array containing EXACTLY 5 levels.
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"""
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if mode == "maze":
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elif mode == "blockly":
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return {
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"story_arc_title": "Logic Repair Arc",
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"levels": [
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{
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"type": "blockly",
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"level_id": "fallback_b_01",
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"title": "System Reboot",
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"story": "The mainframe is unresponsive. We need to send a simple '3' signal to wake it up.",
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"concept_tutorial": "Variables & Output: We use code to send values to the system.",
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"problem": "Print the number 3.",
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"toolbox_categories": ["Text", "Math"],
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"initial_code": "",
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"validation_rules": {
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"required_concepts": ["print"],
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"expected_output": "3"
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},
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"hint_1": "Use the 'print' block.",
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"hint_2": "Snap a number block '3' inside it."
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},
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{
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"type": "blockly",
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"level_id": "fallback_b_02",
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"title": "Data Stream",
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"story": "Mainframe is awake! Now we need to repeat the signal 3 times to stabilize the connection.",
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"concept_tutorial": "Loops: Use loops to repeat actions without writing code over and over.",
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"problem": "Create a loop that prints '3' three times.",
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"toolbox_categories": ["Loops", "Text", "Math"],
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"initial_code": "",
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"validation_rules": {
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"required_concepts": ["loop", "print"],
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"expected_output": "3,3,3"
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},
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"hint_1": "Use the 'repeat' block.",
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"hint_2": "Set the loop count to 3."
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},
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{
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"type": "blockly",
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"level_id": "fallback_b_03",
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"title": "Oxygen Check",
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"story": "Connection stable. Now check the oxygen levels. If they are below 20, we need to print 'Warning'.",
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"concept_tutorial": "Logic: Use 'If' blocks to make decisions based on values.",
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"problem": "Check if variable 'oxygen' (set to 15) is less than 20. If yes, print 'Warning'.",
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"toolbox_categories": ["Logic", "Variables", "Text", "Math"],
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"initial_code": "oxygen = 15",
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"validation_rules": {
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"required_concepts": ["if", "print"],
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"expected_output": "Warning"
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},
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"hint_1": "Use an 'if' block from Logic.",
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"hint_2": "Compare oxygen < 20."
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},
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{
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"type": "blockly",
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"level_id": "fallback_b_04",
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"title": "Security Key",
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"story": "Systems are green. Final step: generate a security key by adding 5 to the secret number 10.",
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"concept_tutorial": "Math: Computers are great at calculations.",
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"problem": "Add 5 to 10 and print the result.",
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"toolbox_categories": ["Math", "Text"],
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"initial_code": "",
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"validation_rules": {
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"required_concepts": ["print"],
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"expected_output": "15"
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},
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"hint_1": "Use the + block from Math.",
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"hint_2": ""
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},
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{
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"type": "blockly",
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"level_id": "fallback_b_05",
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"title": "Mission Complete",
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"story": "Access granted! Welcome back, Commander. Print 'Ready' to finish.",
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"concept_tutorial": "Final Review: You've mastered the basics of logic and calculation.",
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"problem": "Print 'Ready'.",
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"toolbox_categories": ["Text"],
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"initial_code": "",
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"validation_rules": {
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"required_concepts": ["print"],
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"expected_output": "Ready"
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},
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"hint_1": "One last print block!",
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"hint_2": ""
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}
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]
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}
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elif mode == "time_challenge":
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return {
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load_dotenv()
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agent = ScenarioAgent()
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print("Testing Maze Generation...")
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print(json.dumps(agent.generate_level("maze", "Easy"), indent=2))
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