Run ffmpeg and ffprobe commands with nicely parsed output.
Project description
FFmpeg output parser
Overview
Do you already know the ffmpeg command line, and don't want to relearn some syntax of a pythonic ffmpeg wrapper? This is the package for you. Just put in an ffmpeg or ffprobe command and this package structures the output while it's processing.
Usage
The code below converts a video, and prints the percentage completion while it's working. This example includes optional error handling, output shown below.
from parsed_ffmpeg import run_ffmpeg, FfmpegError
async def process_video():
try:
await run_ffmpeg(
f"ffmpeg -i input.mp4 -c:v libx264 output.mp4",
on_status=lambda status: print(f"We're: {status.completion * 100:.1f}% there!"),
overwrite_output=True
)
print("Done!")
except FfmpegError as e:
print(f"ffmpeg failed with error: {e}")
Example output: custom status logging
We're: 8.2% there!
We're: 45.5% there!
We're: 100.0% there!
Done!
Error example
ffmpeg failed with error:
User command:
ffmpeg -i input.mp4 -c:v libx264 output.mp4
Full command:
ffmpeg -i input.mp4 -c:v libx264 output.mp4 -y -progress pipe:1
Working directory:
C:\Users\rutenl\PycharmProjects\parsed_ffmpeg
[in#0 @ 00000208d2d4e1c0] Error opening input: No such file or directory
Error opening input file input.mp4.
Error opening input files: No such file or directory
Example: Ffprobe
Ffprobe output is also supported, use it like this:
input_video = "input.mp4"
result = await run_ffprobe(f"ffprobe {input_video}")
print(str(result))
The ffprobe result includes this info:
{
"bitrate_kbs": 3293,
"duration_ms": 6840,
"start_time": 0.0,
"streams": [
{
"bitrate_kbs": 3152,
"codec": "h264",
"details": "yuv420p(tv, smpte170m, progressive), 1280x720 [SAR 1:1 DAR 16:9], 3152 kb/s, 60 fps, 60 tbr, 15360 tbn (default)",
"type": "video",
"resolution_w": 1280,
"resolution_h": 720,
"fps": 60
},
{
"bitrate_kbs": 128,
"codec": "aac",
"details": "48000 Hz, stereo, fltp, 128 kb/s (default)",
"type": "audio",
"sample_rate": 48000,
"channels": ["stereo", "fltp"]
}
]
}
Example: run with tqdm to get a progressbar
If you install the tqdm extra dependency (pip install parsed-ffmpeg[tqdm]), you can do the following:
input_video = Path(__file__).parent.parent / "tests/assets/input.mp4"
await run_ffmpeg(
f"ffmpeg -i {input_video} -vf scale=-1:1440 -c:v libx264 output.mp4",
print_progress_bar=True,
progress_bar_description=input_video.name,
overwrite_output=True,
)
It'll give output like this:
input.mp4: 73%|███████▎ | 4466/6084 [00:04<00:00, 1620.10ms/s]
Installation
Remember that this package does not come with an ffmpeg binary, you have to have it in path or point to it in your command.
pip install parsed-ffmpeg
API
run_ffmpeg
async def run_ffmpeg(
command: list[str] | str,
on_status: Callable[[FfmpegStatus], None] | None = None,
on_stdout: Callable[[str], None] | None = None,
on_stderr: Callable[[str], None] | None = None,
on_error: Callable[[list[str]], None] | None = None,
on_warning: Callable[[str], None] | None = None,
overwrite_output: bool = False,
raise_on_error: bool = True,
print_progress_bar: bool = False,
progress_bar_description: str | None = None,
) -> str:
...
StatusUpdate
class StatusUpdate:
frame: int | None
fps: float | None
bitrate: str | None
total_size: int | None
out_time_ms: float | None
dup_frames: int | None
drop_frames: int | None
speed: float | None
progress: str | None
duration_ms: int | None
completion: float | None
run_ffprobe
async def run_ffprobe(
command: list[str | Path] | str,
on_error: Callable[[list[str]], None] | None = None,
on_warning: Callable[[str], None] | None = None,
raise_on_error: bool = True,
) -> FfprobeResult:
...
ffprobe types
class AudioStream(BaseStream):
bitrate_kbs: int
codec: str
details: str
type: StreamType #(video or audio)
sample_rate: int
channels: list[str]
class VideoStream(BaseStream):
bitrate_kbs: int
codec: str
details: str
type: StreamType #(video or audio)
resolution_w: int
resolution_h: int
fps: int
class FfprobeResult:
bitrate_kbs: int
duration_ms: int
start_time: float
streams: list[BaseStream]
Changing ffmpeg install location
Just replace the first part of your command (ffmpeg) with the path to ffmpeg. Example:
await run_ffmpeg("C:/apps/ffmpeg.exe -i input.mp4 -c:v libx264 output.mp4 -y")
License
MIT
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