import unicodedata
import logging
from .fixed_output import run_fixed_output
from .ai_output import run_ai_output

TRIGGER_MAP = {}

def set_trigger_map(mapping):
    global TRIGGER_MAP
    TRIGGER_MAP = mapping
    logging.warning(f"[AGENT] TRIGGER_MAP loaded: {TRIGGER_MAP}")

def normalize(s):
    return unicodedata.normalize("NFKC", s)

def clean(s):
    s = unicodedata.normalize("NFKC", s)
    return "".join(ch for ch in s if ch.isprintable())


def run_agent(user_input: str, patient_id: int, db):
    logging.warning(f"[AGENT] user_input = {user_input}")

    token = clean(user_input.split()[-1])
    logging.warning(f"[AGENT] token = {token} (repr={repr(token)})")

    # -----------------------------
    # 1. prefix 補全（支援多選）
    # -----------------------------
    prefix_candidates = []

    for skill_name, triggers in TRIGGER_MAP.items():
        for t in triggers:
            t_clean = clean(t)

            if t_clean.startswith(token) and token != t_clean:
                prefix_candidates.append(t_clean)

    if len(prefix_candidates) > 1:
        return {
            "type": "trigger-multi-prefix",
            "prefix": token,
            "candidates": prefix_candidates
        }

    if len(prefix_candidates) == 1:
        return {
            "type": "trigger-prefix",
            "prefix": token,
            "full": prefix_candidates[0]
        }

    # -----------------------------
    # 2. 完整 trigger
    # -----------------------------
    for skill_name, triggers in TRIGGER_MAP.items():
        for t in triggers:
            if clean(t) == token:
                logging.warning(f"[AGENT] → full trigger match: {t}")
                return run_fixed_output(skill_name)

    # -----------------------------
    # 3. fallback → AI（帶 patient_id + db）
    # -----------------------------
    logging.warning("[AGENT] → fallback to AI")
    return run_ai_output(
        input_text=user_input,
        patient_id=patient_id,
        db=db
    )