update endpoint helper files

generate_dataset.py

@@ -0,0 +1,77 @@
+import argparse
+import json
+import random
+
+
+TEMPLATES = [
+    {
+        "instruction": "Fix the Python code",
+        "input": "def add(a,b) return a+b",
+        "output": "def add(a, b): return a + b",
+        "explanation": "Added missing colon and corrected syntax.",
+    },
+    {
+        "instruction": "Fix loop syntax",
+        "input": "for i in range(5 print(i)",
+        "output": "for i in range(5): print(i)",
+        "explanation": "Added missing parenthesis and colon.",
+    },
+    {
+        "instruction": "Fix condition",
+        "input": "if x = 10: print(x)",
+        "output": "if x == 10: print(x)",
+        "explanation": "Corrected assignment to comparison operator.",
+    },
+    {
+        "instruction": "Explain code",
+        "input": "for i in range(3): print(i)",
+        "output": "Prints numbers from 0 to 2.",
+        "explanation": "Loop iterates from 0 to 2 and prints values.",
+    },
+]
+
+
+def format_training_text(template):
+    target = {
+        "code": template["output"],
+        "explanation": template["explanation"],
+    }
+    return (
+        f"Instruction: {template['instruction']}\n"
+        f"Input: {template['input']}\n"
+        "Return only valid JSON with keys code and explanation.\n"
+        f"JSON: {json.dumps(target, ensure_ascii=False)}\n"
+    )
+
+
+def generate_sample():
+    template = random.choice(TEMPLATES)
+    text = format_training_text(template)
+    return {
+        "instruction": template["instruction"],
+        "input": template["input"],
+        "output": template["output"],
+        "explanation": template["explanation"],
+        "text": text,
+        "confidence": round(random.uniform(0.9, 0.99), 2),
+        "relevancy": round(random.uniform(0.85, 0.99), 2),
+    }
+
+
+def main():
+    parser = argparse.ArgumentParser()
+    parser.add_argument("--size", type=int, default=8000)
+    parser.add_argument("--out", type=str, default="train.json")
+    args = parser.parse_args()
+
+    if not (5000 <= args.size <= 10000):
+        raise ValueError("size must be between 5000 and 10000")
+
+    dataset = [generate_sample() for _ in range(args.size)]
+    with open(args.out, "w", encoding="utf-8") as f:
+        json.dump(dataset, f, indent=2)
+    print(f"Dataset created: {len(dataset)} -> {args.out}")
+
+
+if __name__ == "__main__":
+    main()