init

core.py

@@ -0,0 +1,211 @@
+#!/usr/bin/env python3
+import subprocess
+import json
+import time
+import multiprocessing
+import getpass
+import shlex
+from pathlib import Path
+
+class BaseTranscoder:
+    def __init__(self, args, video_defaults, audio_defaults):
+        self.input_path = Path(args.input).resolve()
+        if not self.input_path.exists():
+            raise FileNotFoundError(f"输入文件不存在: {self.input_path}")
+
+        self.vencoder = args.vencoder
+        self.aencoder = args.aencoder
+        self.run_metrics = args.metrics
+        self.notify_mode = args.notify
+
+        self.v_params = (
+            shlex.split(args.vargs) if args.vargs else video_defaults.get(self.vencoder, [])
+        )
+        self.a_params = (
+            shlex.split(args.aargs) if args.aargs else audio_defaults.get(self.aencoder, [])
+        )
+
+        filters = []
+        if getattr(args, "res", None):
+            filters.append(f"scale={args.res}")
+        if getattr(args, "fps", None):
+            filters.append(f"fps={args.fps}")
+        self.vf_string = ",".join(filters) if filters else ""
+
+        self.out_dir = (
+            Path(args.outdir).resolve() if args.outdir else self.input_path.parent
+        )
+        self.out_dir.mkdir(parents=True, exist_ok=True)
+
+        self.basename = self.input_path.stem
+        self.output_path = self.out_dir / f"{self.basename}.{self.vencoder}.mp4"
+        self.log_path = self.out_dir / f"{self.basename}.{self.vencoder}.log"
+        self.vmaf_log_path = self.out_dir / f"{self.basename}.{self.vencoder}.vmaf.json"
+
+        self.temp_files = []
+        self.orig_info = None
+
+    def get_media_info(self, file_path: Path):
+        cmd = [
+            "ffprobe",
+            "-v",
+            "quiet",
+            "-print_format",
+            "json",
+            "-show_format",
+            "-show_streams",
+            str(file_path),
+        ]
+        result = subprocess.run(cmd, capture_output=True, text=True)
+        if result.returncode != 0:
+            return None
+
+        data = json.loads(result.stdout)
+        video_stream = next(
+            (s for s in data.get("streams", []) if s["codec_type"] == "video"), None
+        )
+        if not video_stream:
+            return None
+
+        duration = float(data.get("format", {}).get("duration", 0))
+        bitrate = int(data.get("format", {}).get("bit_rate", 0))
+        fps_str = video_stream.get("r_frame_rate", "0/1")
+
+        nb_frames = video_stream.get("nb_frames")
+        if nb_frames:
+            frame_count = int(nb_frames)
+        else:
+            num, den = map(int, fps_str.split("/"))
+            fps = num / den if den != 0 else 0
+            frame_count = int(duration * fps)
+
+        return {
+            "codec": video_stream.get("codec_name"),
+            "bitrate_kbps": bitrate / 1000,
+            "frame_count": frame_count,
+            "fps_str": fps_str,
+            "width": video_stream.get("width"),
+            "height": video_stream.get("height"),
+        }
+
+    def _run_vmaf_psnr(self, new_info):
+        target_samples = 500
+        n_subsample = max(1, (self.orig_info.get("frame_count", 0) if self.orig_info else 0) // target_samples)
+        threads = multiprocessing.cpu_count()
+        fps = self.orig_info.get("fps_str", "0/1") if self.orig_info else "0/1"
+
+        print(
+            f"\n[Metrics] 启动 VMAF/PSNR 测试 (采样间隔: {n_subsample}, 线程数: {threads}, 强制帧率: {fps})..."
+        )
+
+        out_w = new_info.get("width") if new_info else None
+        out_h = new_info.get("height") if new_info else None
+        orig_w = self.orig_info.get("width") if self.orig_info else None
+        orig_h = self.orig_info.get("height") if self.orig_info else None
+        orig_fps = self.orig_info.get("fps_str", "0/1") if self.orig_info else "0/1"
+        out_fps = new_info.get("fps_str", "0/1") if new_info else "0/1"
+
+        # 使用滤镜链对齐帧率、分辨率和首帧时间戳
+        filters_0 = []
+        if out_fps != orig_fps:
+            filters_0.append(f"fps={orig_fps}")
+        if out_w and out_h and orig_w and orig_h and (out_w != orig_w or out_h != orig_h):
+            filters_0.append(f"scale={orig_w}:{orig_h}:flags=bicubic")
+        filters_0.append("setpts=PTS-STARTPTS")
+        
+        filter_0_str = ",".join(filters_0)
+
+        vmaf_filter = (
+            f"[0:v]{filter_0_str}[dist];[1:v]setpts=PTS-STARTPTS[ref];"
+            f"[dist][ref]libvmaf=feature='name=psnr':log_path='{self.vmaf_log_path.as_posix()}':"
+            f"log_fmt=json:n_subsample={n_subsample}:n_threads={threads}"
+        )
+
+        cmd = [
+            "ffmpeg",
+            "-y",
+            "-i",
+            str(self.output_path),
+            "-i",
+            str(self.input_path),
+            "-lavfi",
+            vmaf_filter,
+            "-f",
+            "null",
+            "-",
+        ]
+        subprocess.run(cmd, check=False)
+
+        try:
+            with open(self.vmaf_log_path, "r", encoding="utf-8") as f:
+                data = json.load(f).get("pooled_metrics", {})
+                vmaf = (
+                    round(data.get("vmaf", {}).get("mean", 0), 2)
+                    if "vmaf" in data
+                    else "N/A"
+                )
+                psnr = (
+                    round(data.get("psnr_y", {}).get("mean", 0), 2)
+                    if "psnr_y" in data
+                    else "N/A"
+                )
+                return vmaf, psnr
+        except Exception as e:
+            print(f"[Metrics Error] 无法解析 VMAF 日志: {e}")
+            return "N/A", "N/A"
+
+    def _generate_log_content(self, encode_time, new_info, vmaf, psnr, extra_info=""):
+        size_ratio = (
+            self.output_path.stat().st_size / self.input_path.stat().st_size
+        ) * 100
+        content = (
+            f"时间: {time.strftime('%Y-%m-%d %H:%M:%S')}\n"
+            f"输入: {self.input_path}\n"
+            f"输出: {self.output_path}\n"
+            f"{extra_info}"
+            f"视频编码器: {self.vencoder} ({' '.join(self.v_params)})\n"
+            f"音频编码器: {self.aencoder} ({' '.join(self.a_params)})\n"
+            f"耗时: {encode_time:.2f} s\n"
+            f"[元数据] {self.orig_info.get('codec','') if self.orig_info else ''} -> {new_info.get('codec','') if new_info else ''} | {self.orig_info.get('bitrate_kbps',0) if self.orig_info else 0:.0f} kbps -> {new_info.get('bitrate_kbps',0) if new_info else 0:.0f} kbps\n"
+            f"[体积比] {size_ratio:.1f}%\n"
+        )
+        if self.run_metrics:
+            content += f"[质量] VMAF: {vmaf} | PSNR(Y): {psnr}\n"
+        content += "-" * 50 + "\n"
+        return content
+
+    def _send_notification(
+        self, encode_time: float = 0.0, new_info=None, vmaf="N/A", full_text="", error=None, extra_title=""
+    ):
+        if self.notify_mode == "none":
+            return
+
+        subject = f"{extra_title}任务{'失败' if error else '完成'}: {self.input_path.name}"
+
+        if self.notify_mode == "mail":
+            body = error if error else full_text
+            try:
+                subprocess.run(
+                    ["mail", "-s", subject, getpass.getuser()],
+                    input=body.encode("utf-8"),
+                    check=True,
+                )
+            except Exception as e:
+                print(f"[Notify Error] 邮件发送失败: {e}")
+
+        elif self.notify_mode == "notify":
+            if error:
+                body = error
+            else:
+                body = f"编码器: {self.vencoder}\n耗时: {encode_time:.1f}s"
+                if self.run_metrics:
+                    body += f"\nVMAF: {vmaf}"
+            try:
+                subprocess.run(["notify-send", subject, body], check=True)
+            except Exception as e:
+                print(f"[Notify Error] DBus 通知发送失败: {e}")
+
+    def _cleanup(self):
+        for temp_file in self.temp_files:
+            if temp_file.exists():
+                temp_file.unlink()