"""Skip silence in the browser: the pauses of an episode, found once on the server.

Android's player skips silence itself. A browser can't listen to the audio of
most podcast servers (no CORS: Web Audio hears only zeros), so the server
reads the file once with ffmpeg's silencedetect and keeps the pauses on the
episode (PodcastEpisode.silences); the browser then jumps over them while it
plays (podcasts-web.js).
"""
import logging
import os
import re
import subprocess
import tempfile
import threading

import requests

from django.db import close_old_connections

log = logging.getLogger(__name__)

NOISE = '-35dB'        # quieter than this counts as silence
MIN_SILENCE = 0.4      # seconds; shorter pauses stay (they belong to speech)
TIMEOUT = 900          # seconds for decoding one episode
MAX_BYTES = 800 * 1024 * 1024   # a larger file isn't an episode to analyse
MAX_RUNNING = 2        # episodes analysed at the same time

_START = re.compile(r'silence_start: (-?[\d.]+)')
_END = re.compile(r'silence_end: ([\d.]+)')

_running = set()
_lock = threading.Lock()
_slots = threading.BoundedSemaphore(MAX_RUNNING)


def parse(stderr):
    """ffmpeg's silencedetect output -> [[start, end], …] in seconds (2 decimals)."""
    spans = []
    start = None
    for line in stderr.splitlines():
        m = _START.search(line)
        if m:
            start = max(0.0, float(m.group(1)))
            continue
        m = _END.search(line)
        if m and start is not None:
            end = float(m.group(1))
            if end - start >= MIN_SILENCE:
                spans.append([round(start, 2), round(end, 2)])
            start = None
    return spans


def analyze(url):
    """The pauses of the audio at `url`. Downloaded here first: the static ffmpeg
    build can't look up host names (it crashes doing so), it reads a local file."""
    import imageio_ffmpeg
    fd, path = tempfile.mkstemp(suffix='.audio')
    try:
        with os.fdopen(fd, 'wb') as out, requests.get(
                url, stream=True, timeout=(10, 60), headers={'User-Agent': 'diora podcast silence'}) as r:
            if r.status_code >= 400:
                raise RuntimeError(f'HTTP {r.status_code}')
            size = 0
            for chunk in r.iter_content(1 << 20):
                size += len(chunk)
                if size > MAX_BYTES:
                    raise RuntimeError('file too large')
                out.write(chunk)
        proc = subprocess.run(
            [imageio_ffmpeg.get_ffmpeg_exe(), '-nostdin', '-hide_banner', '-nostats',
             '-vn', '-sn', '-dn', '-i', path,
             '-af', f'silencedetect=noise={NOISE}:d={MIN_SILENCE}', '-f', 'null', '-'],
            capture_output=True, text=True, timeout=TIMEOUT,
        )
        if proc.returncode != 0:
            tail = (proc.stderr or '').strip().splitlines()[-1:] or [f'ffmpeg failed ({proc.returncode})']
            raise RuntimeError(tail[0][:200])
        return parse(proc.stderr)
    finally:
        try:
            os.remove(path)
        except OSError:
            pass


def ensure(episode_id):
    """Find the episode's pauses in the background, unless that runs already."""
    with _lock:
        if episode_id in _running:
            return
        _running.add(episode_id)
    threading.Thread(target=_work, args=(episode_id,), daemon=True).start()


def _work(episode_id):
    from .models import PodcastEpisode
    try:
        with _slots:
            close_old_connections()
            ep = PodcastEpisode.objects.filter(pk=episode_id).only('id', 'audio_url').first()
            if ep is None:
                return
            try:
                result = {'spans': analyze(ep.audio_url)}
            except Exception as e:  # unreachable file, timeout, not audio: remembered, not retried
                log.warning('silences of episode %s failed: %s', episode_id, e)
                result = {'spans': [], 'error': str(e)[:200] or type(e).__name__}
            PodcastEpisode.objects.filter(pk=episode_id).update(silences=result)
    finally:
        with _lock:
            _running.discard(episode_id)
        close_old_connections()