Let’s do another iteration with your comment as the prompt:
GPT-4:
To correctly handle the situation where cmd expects filenames as arguments and those files are actually streams of data from subprocesses, you can use the /dev/fd filesystem on Unix-like systems. This special filesystem allows you to treat file descriptors as file paths, which is essentially what Bash’s process substitution does.
Here’s how you can modify the Python script to achieve this:
Use subprocesses to handle the download and decompression, just like before.
Instead of writing to named pipes, pass the file descriptors of these subprocesses directly to cmd.
Here’s the revised script:
import subprocess
import os
def run_pipeline(path1, path2, pathOut):
# Start downloading the first file and pipe it to gunzip
dl1 = subprocess.Popen(["aws", "s3", "cp", path1, "-"], stdout=subprocess.PIPE)
gunzip1 = subprocess.Popen(["gunzip"], stdin=dl1.stdout, stdout=subprocess.PIPE)
# Start downloading the second file and pipe it to gunzip
dl2 = subprocess.Popen(["aws", "s3", "cp", path2, "-"], stdout=subprocess.PIPE)
gunzip2 = subprocess.Popen(["gunzip"], stdin=dl2.stdout, stdout=subprocess.PIPE)
# Wait for the pipes to be ready
dl1.stdout.close()
dl2.stdout.close()
# Run the command with file descriptors
cmd = subprocess.Popen(["cmd", "-1", f"/dev/fd/{gunzip1.stdout.fileno()}", "-2", f"/dev/fd/{gunzip2.stdout.fileno()}"], stdout=subprocess.PIPE)
# Pipe cmd's output to gzip and then upload
gzip = subprocess.Popen(["gzip"], stdin=cmd.stdout, stdout=subprocess.PIPE)
subprocess.run(["aws", "s3", "cp", "-", pathOut], stdin=gzip.stdout)
# Cleanup
gunzip1.stdout.close()
gunzip2.stdout.close()
gzip.stdout.close()
# Example usage
run_pipeline("s3://path/to/file1", "s3://path/to/file2", "s3://path/to/output")
In this script:
* `gunzip1.stdout.fileno()` and `gunzip2.stdout.fileno()` give the file descriptors of the gunzip processes.
* These descriptors are converted to file paths using `/dev/fd/`.
* `cmd` is then invoked with these file paths as arguments, making it read from the streams.
This approach replicates the behavior of Bash’s process substitution in Python, allowing cmd to read from the streams as if they were files. Note that this method is specific to Unix-like systems that support the /dev/fd filesystem.
Thanks! I haven’t tested this, but reading through it seems plausible. This is the first GPT response I’ve seen where it “understood” that the command needed its inputs as two file arguments.
Yes, it often requires a conversation; taking a few turns to discuss the situation and create enough context for it...
The difference between GPT-4 and GPT-3.5 is rather drastic. GPT-4 might still be the only “next generation” system available for public use in the world today (although, to be fair, I have not explored new Anthropic models), and I think it is the first system which often seems to actually demonstrate “true understanding”, whatever the nature of that phenomenon might be.
Let’s do another iteration with your comment as the prompt:
GPT-4:
To correctly handle the situation where
cmd
expects filenames as arguments and those files are actually streams of data from subprocesses, you can use the/dev/fd
filesystem on Unix-like systems. This special filesystem allows you to treat file descriptors as file paths, which is essentially what Bash’s process substitution does.Here’s how you can modify the Python script to achieve this:
Use subprocesses to handle the download and decompression, just like before.
Instead of writing to named pipes, pass the file descriptors of these subprocesses directly to
cmd
.Here’s the revised script:
In this script:
This approach replicates the behavior of Bash’s process substitution in Python, allowing
cmd
to read from the streams as if they were files. Note that this method is specific to Unix-like systems that support the/dev/fd
filesystem.Thanks! I haven’t tested this, but reading through it seems plausible. This is the first GPT response I’ve seen where it “understood” that the command needed its inputs as two file arguments.
(Though all of my playing was with free 3.5)
Great!
Yes, it often requires a conversation; taking a few turns to discuss the situation and create enough context for it...
The difference between GPT-4 and GPT-3.5 is rather drastic. GPT-4 might still be the only “next generation” system available for public use in the world today (although, to be fair, I have not explored new Anthropic models), and I think it is the first system which often seems to actually demonstrate “true understanding”, whatever the nature of that phenomenon might be.