Using BufferΒΆ
The class supports handling different types of data sources, including streams and strings.
Provides methods to:
download_in_buffer()
: Downloads data into an in-memory buffer from a stream or a string.redirect_to_stdout()
: Redirects the content of the buffer to stdout for further processing or display.read()
: Reads the content from the buffer.clear()
: Clears the buffer for reuse.This implementation is designed for efficient handling of large data or media content like video/audio streams in memory, making it ideal for use cases like processing YouTube video data, saving temporary metadata, or streaming data to external applications.
to redirect the download to stdout:
from pytubefix import YouTube
from pytubefix import Buffer
buffer = Buffer()
url = "URL"
yt = YouTube(url)
ys = yt.streams.get_audio_only()
buffer.download_in_buffer(ys)
buffer.redirect_to_stdout()
Playing Audio on the Terminal
If the buffer contains an audio stream, you can send it directly to players like ffplay:
$ python3 main.py | ffplay -i -
In the terminal, run the script and pipe the output to ffmpeg:
$ python3 main.py | ffmpeg -i - -acodec libmp3lame output.mp3
You can send buffer data to tools like cat or less to view:
$ python3 main.py | less
Directly redirect the script output to create a file in the terminal:
$ python3 main.py > output.webm
Share via network with NC:
$ python3 main.py | nc 192.168.1.100 5000
Creating a Stream for Other Software
Route the output to audio/video editing or manipulation software.
Processing in Audacity:
Save the audio in .wav and automatically open it in Audacity:
$ python3 main.py | ffmpeg -i - -f wav - | audacity
Play a Playlist directly on the terminal instead of saving:
from pytubefix import Playlist
from pytubefix import Buffer
buffer = Buffer()
url = "url"
pl = Playlist(url)
for video in pl.videos:
ys = video.streams.get_audio_only()
buffer.download_in_buffer(ys)
buffer.redirect_to_stdout()
Run the command to play the playlist in the terminal
$ python3 playlist.py | ffplay -i -
Processing in Real Time
Preview with hexdump
:
$ python3 main.py | hexdump -C
Send the buffer contents to an API or other service.
import requests
response = requests.post(
"http://example.com/upload",
files={"file": buffer.read()}
)
print(response.status_code)
Encryption or Compression
Perform encryption or compression operations directly on the buffer.
Compression:
import gzip
compressed_data = gzip.compress(buffer.read())
with open("compressed.gz", "wb") as file:
file.write(compressed_data)
Encryption Example:
from cryptography.fernet import Fernet
key = Fernet.generate_key()
cipher = Fernet(key)
encrypted_data = cipher.encrypt(buffer.read())
print("Encrypted data:", encrypted_data)
Converting the Format
If the content is multimedia, you can convert it before saving or using it.
Example with ffmpeg-python
:
import ffmpeg
input_stream = ffmpeg.input("pipe:", format="mp3")
output_stream = ffmpeg.output(input_stream, "output.wav")
ffmpeg.run(output_stream, pipe_stdin=True, input=buffer.read())
Distribute via Network
Use sockets to send buffer contents to other computers.
import socket
with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s:
s.connect(("127.0.0.1", 65432))
s.sendall(buffer.read())
Cache in Memory
Use the buffer as a cache to avoid multiple downloads or reads.
cache = buffer.read()