# -*- coding: utf-8 -*-
"""Astraea TTS — realistic neural voices via edge-tts (Microsoft neural, sounds human).
Structured so a local GPU TTS (Kokoro/XTTS on the Windows box) can be swapped in later.
"""
import os
import subprocess
import sys
import tempfile

# Resolve edge-tts relative to the venv that runs this app (robust vs hardcoded paths).
EDGE_TTS_BIN = os.path.join(os.path.dirname(sys.executable), "edge-tts")

VOICES = {
    "aria":        {"name": "en-US-AriaNeural",        "label": "Aria — confident (F)"},
    "jenny":       {"name": "en-US-JennyNeural",       "label": "Jenny — warm (F)"},
    "ana":         {"name": "en-US-AnaNeural",         "label": "Ana — calm (F)"},
    "guy":         {"name": "en-US-GuyNeural",         "label": "Guy — professional (M)"},
    "christopher": {"name": "en-US-ChristopherNeural", "label": "Christopher — deep (M)"},
    "eric":        {"name": "en-US-EricNeural",        "label": "Eric — measured (M)"},
}


def synthesize(text, voice="aria", rate="-5%"):
    v = VOICES.get(voice, VOICES["aria"])["name"]
    text = text.replace("\n", " ").replace("  ", " ")[:4000]
    out = tempfile.NamedTemporaryFile(suffix=".mp3", delete=False).name
    subprocess.run([EDGE_TTS_BIN, "--voice", v, f"--rate={rate}", "--text", text,
                    "--write-media", out], capture_output=True, timeout=60, check=True)
    return out


def list_voices():
    return [{"id": k, "label": v["label"]} for k, v in VOICES.items()]