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import mimetypes
import shutil
import time
from pathlib import Path
from renderer.audio import AudioMixer
from renderer.core.config import Settings
from renderer.core.ingest import AssetIngestor
from renderer.core.models import AIReelsRequest, RenderRequest, RenderResult
from renderer.core.utils import cleanup_directory, temp_workdir
from renderer.exports import ExportManager
from renderer.ffmpeg.assets import AssetProbe
from renderer.ffmpeg.command import FFmpegCommand
from renderer.ffmpeg.normalize import Normalizer
from renderer.ffmpeg.runner import FFmpegRunner
from renderer.scenes import Timeline
from renderer.subtitles import SubtitleGenerator
from renderer.transcription import WhisperTranscriber
from renderer.transitions import TransitionBuilder
class RenderEngine:
def __init__(self, settings: Settings | None = None, log=None) -> None:
self.settings = settings or Settings()
self.settings.ensure_dirs()
self._commands: list[list[str]] = []
self._logs: list[str] = []
self.runner = FFmpegRunner(self.settings.ffmpeg_timeout_seconds, log=log, on_command=self._record_command)
self.ingest = AssetIngestor(self.settings)
self.assets = AssetProbe(self.settings.metadata_cache)
self.normalizer = Normalizer(self.settings, self.runner)
self.subtitles = SubtitleGenerator()
self.transcriber = WhisperTranscriber(self.settings)
self.transitions = TransitionBuilder()
self.audio = AudioMixer(self.runner)
self.exports = ExportManager(self.settings.exports_dir)
def render(self, request: RenderRequest, job_id: str) -> RenderResult:
self._commands = []
self._logs = []
started = time.time()
timeline = Timeline(request.scenes)
with temp_workdir(self.settings.temp_dir, job_id) as work:
workdir = Path(work)
resolved = self.ingest.resolve_render_request(request, workdir)
timeline = Timeline(resolved.scenes)
prepared = self._prepare_scene_media(resolved, workdir)
subtitles = self._write_subtitles(resolved, timeline, workdir)
video = self._compose_video(prepared, resolved, subtitles, workdir)
mixed = self.audio.mix(video, resolved.background_music, resolved.voiceover, workdir / "mixed.mp4", normalize=resolved.audio_normalize)
mixed = self._apply_watermark(mixed, resolved, workdir)
output = self.exports.save(mixed, job_id, request.output_name)
cleanup_directory(workdir, keep={mixed})
metrics = {
"render_time_seconds": round(time.time() - started, 3),
"output_size_bytes": output.stat().st_size,
"scene_count": len(request.scenes),
}
return RenderResult(output_path=output, commands=list(self._commands), metrics=metrics, logs=list(self._logs))
def ai_reels(self, request: AIReelsRequest, job_id: str) -> RenderResult:
if not request.voiceover:
raise ValueError("AI reels v1 requires a provided voiceover path; TTS is pluggable but not bundled.")
if not request.assets:
raise ValueError("AI reels rendering requires at least one visual asset.")
with temp_workdir(self.settings.temp_dir, job_id) as work:
workdir = Path(work)
resolved = self.ingest.resolve_ai_reels_request(request, workdir)
voice_meta = self.assets.probe(resolved.voiceover)
duration = max(voice_meta.duration, len(resolved.script.split()) * 0.35, 3.0)
per_scene = duration / max(1, len(resolved.assets))
captions = _split_script(resolved.script, len(resolved.assets))
scenes = [
{
"start": round(idx * per_scene, 3),
"duration": round(per_scene, 3),
"media": asset,
"caption": captions[idx] if idx < len(captions) else "",
}
for idx, asset in enumerate(resolved.assets)
]
render_request = RenderRequest(
scenes=Timeline.request_from_payload({"scenes": scenes}).scenes,
template=resolved.template,
output_name=resolved.output_name,
voiceover=resolved.voiceover,
background_music=resolved.background_music,
)
return self._render_resolved(render_request, job_id, workdir)
def inspect_asset(self, path: str | Path) -> dict:
return self.assets.probe(path).__dict__
def transcribe(
self,
audio_path: str | Path,
*,
model_size: str | None = None,
language: str | None = None,
task: str = "transcribe",
beam_size: int = 5,
vad_filter: bool = True,
word_timestamps: bool = True,
) -> dict:
return self.transcriber.transcribe(
audio_path,
model_size=model_size,
language=language,
task=task,
beam_size=beam_size,
vad_filter=vad_filter,
word_timestamps=word_timestamps,
).as_dict()
def _render_resolved(self, request: RenderRequest, job_id: str, workdir: Path) -> RenderResult:
self._commands = []
self._logs = []
started = time.time()
timeline = Timeline(request.scenes)
prepared = self._prepare_scene_media(request, workdir)
subtitles = self._write_subtitles(request, timeline, workdir)
video = self._compose_video(prepared, request, subtitles, workdir)
mixed = self.audio.mix(video, request.background_music, request.voiceover, workdir / "mixed.mp4", normalize=request.audio_normalize)
mixed = self._apply_watermark(mixed, request, workdir)
output = self.exports.save(mixed, job_id, request.output_name)
metrics = {
"render_time_seconds": round(time.time() - started, 3),
"output_size_bytes": output.stat().st_size,
"scene_count": len(request.scenes),
}
return RenderResult(output_path=output, commands=list(self._commands), metrics=metrics, logs=list(self._logs))
def _prepare_scene_media(self, request: RenderRequest, workdir: Path) -> list[Path]:
prepared: list[Path] = []
for idx, scene in enumerate(request.scenes):
source = Path(scene.media)
metadata = self.assets.probe(source)
target = workdir / f"scene_{idx:03d}.mp4"
mime_type = metadata.mime_type or mimetypes.guess_type(str(source))[0] or ""
if mime_type.startswith("image/") or source.suffix.lower() in {".jpg", ".jpeg", ".png", ".webp", ".gif"}:
self.normalizer.image_to_video(source, target, scene.duration)
elif request.normalize and self.normalizer.needs_normalization(metadata):
self.normalizer.normalize(source, target, scene.duration)
else:
shutil.copy2(source, target)
if request.preview:
preview = workdir / f"scene_{idx:03d}_preview.mp4"
self._scale_preview(target, preview)
target = preview
prepared.append(target)
return prepared
def _write_subtitles(self, request: RenderRequest, timeline: Timeline, workdir: Path) -> Path | None:
if request.auto_subtitles and request.voiceover:
transcript = self.transcriber.transcribe(
request.voiceover,
model_size=request.whisper_model_size,
language=request.subtitle_language,
word_timestamps=True,
)
events = transcript.subtitle_events(prefer_words=True)
else:
events = self.subtitles.from_scenes(request.scenes, timeline.total_duration)
if not events:
return None
if request.subtitle_format == "srt":
return self.subtitles.write_srt(events, workdir / "captions.srt")
return self.subtitles.write_ass(events, workdir / "captions.ass", request.template)
def _compose_video(self, scenes: list[Path], request: RenderRequest, subtitle_path: Path | None, workdir: Path) -> Path:
if len(scenes) == 1:
composed = workdir / "composed.mp4"
shutil.copy2(scenes[0], composed)
else:
composed = workdir / "composed.mp4"
durations = [scene.duration for scene in request.scenes]
transitions = [scene.transition for scene in request.scenes]
filter_graph, final_stream = self.transitions.xfade_chain(len(scenes), durations, transitions)
cmd = FFmpegCommand().add("-hide_banner")
for scene in scenes:
cmd.input(scene)
cmd.add("-filter_complex", filter_graph)
cmd.add("-map", final_stream, "-an", "-c:v", "libx264", "-preset", self.settings.preset, "-crf", self.settings.crf)
command = cmd.overwrite().add(composed).build()
self._run(command)
if subtitle_path:
subtitled = workdir / "subtitled.mp4"
escaped = _ffmpeg_subtitle_path(subtitle_path)
command = (
FFmpegCommand()
.add("-hide_banner")
.input(composed)
.add("-vf", f"subtitles='{escaped}'", "-c:a", "copy", "-c:v", "libx264", "-preset", self.settings.preset, "-crf", self.settings.crf)
.overwrite()
.add(subtitled)
.build()
)
self._run(command)
return subtitled
return composed
def _apply_watermark(self, video: Path, request: RenderRequest, workdir: Path) -> Path:
if not request.watermark:
return video
watermark = Path(request.watermark)
if not watermark.exists():
self._logs.append(f"Watermark skipped; file not found: {watermark}")
return video
output = workdir / "watermarked.mp4"
position = {
"top-left": "20:20",
"top-right": "W-w-20:20",
"bottom-left": "20:H-h-20",
"bottom-right": "W-w-20:H-h-20",
"center": "(W-w)/2:(H-h)/2",
}.get(request.watermark_position, "W-w-20:H-h-20")
command = (
FFmpegCommand()
.add("-hide_banner")
.input(video)
.input(watermark)
.add("-filter_complex", f"[1:v]scale=iw*0.22:-1[wm];[0:v][wm]overlay={position}")
.add("-c:a", "copy", "-c:v", "libx264", "-preset", self.settings.preset, "-crf", self.settings.crf)
.overwrite()
.add(output)
.build()
)
self._run(command)
return output
def _scale_preview(self, source: Path, output: Path) -> None:
command = (
FFmpegCommand()
.add("-hide_banner")
.input(source)
.add("-vf", "scale=540:960:force_original_aspect_ratio=decrease,pad=540:960:(ow-iw)/2:(oh-ih)/2")
.add("-c:v", "libx264", "-preset", "ultrafast", "-crf", "30", "-c:a", "aac")
.overwrite()
.add(output)
.build()
)
self._run(command)
def _run(self, command: list[str]) -> None:
result = self.runner.run(command)
if result.stderr:
self._logs.append(result.stderr[-4000:])
def _record_command(self, command: list[str]) -> None:
self._commands.append(command)
def _split_script(script: str, chunks: int) -> list[str]:
words = script.split()
if chunks <= 0:
return []
size = max(1, round(len(words) / chunks))
return [" ".join(words[i : i + size]) for i in range(0, len(words), size)][:chunks]
def _ffmpeg_subtitle_path(path: Path) -> str:
return str(path).replace("\\", "/").replace(":", r"\:")
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