responseai.py

import json
import random
from pathlib import Path
from typing import List, Dict

_INTENTS_PATH = Path(__file__).with_name("intents.json")


def _load_intents() -> List[Dict]:
    if _INTENTS_PATH.exists():
        try:
            with open(_INTENTS_PATH, "r", encoding="utf-8") as f:
                data = json.load(f)
                # Expecting a dict with "intents" or a list of intents
                if isinstance(data, dict) and "intents" in data:
                    return data["intents"]
                if isinstance(data, list):
                    return data
        except Exception:
            pass
    # fallback sample intents
    return [
        {"tag": "greeting", "patterns": ["Hi", "Hello", "Hey"], "responses": ["Hello!", "Hi there!"]},
        {"tag": "goodbye", "patterns": ["Bye", "See you", "Goodbye"], "responses": ["Goodbye!", "See you later!"]},
        {"tag": "capital", "patterns": ["What is the capital of France?", "capital of France"], "responses": ["The capital of France is Paris."]}
    ]


_INTENTS = _load_intents()


def generate_response(text: str) -> str:
    text_lower = text.lower()
    # simple keyword / pattern matching first
    for intent in _INTENTS:
        for pattern in intent.get("patterns", []):
            if pattern.lower() in text_lower or all(word in text_lower for word in pattern.lower().split()):
                return random.choice(intent.get("responses", ["Sorry, I don't know that."]))

    # fallback: match by token overlap
    best = None
    best_score = 0
    tokens = set(text_lower.split())
    for intent in _INTENTS:
        score = 0
        for pattern in intent.get("patterns", []):
            score += len(tokens.intersection(set(pattern.lower().split())))
        if score > best_score:
            best_score = score
            best = intent

    if best and best_score > 0:
        return random.choice(best.get("responses", ["Sorry, I don't know that."]))

    return "Sorry, I don't know the answer to that yet."


if __name__ == "__main__":
    print(generate_response("What is the capital of France?"))