Skip to main content

a simple CLI tool to split a file into several smaller chunks at data level and merge them back

Project description

Naive File Splitter

Naive File Splitter is a simple CLI tool to split a file into several smaller chunks at data level and merge them back. It does not compress or transform the original file in any way. NFS only reads the file in binary stream and writes it into chunks whose number or size is given by the user.

By having smaller chunks of a file instead of a large one, it allows easier and faster data download and upload, and bypasses file size limits inplaced by some cloud providers.

Naive File Splitter works with any file format.

Install

Naive File Splitter requires Python >= 3.5.

pip install nfs-estepona

Upon installation, a new nsplit binary will be added to system's path.

Command

Split

Usage

nsplit split [OPTIONS] SRC

Split the file into several chunks by specifying EITHER:

  • number of chunks with --chunk flag
  • size of each chunk with --size-per-chunk flag, and the number of chunks is calculated accordingly, i.e. 5kb, 10mb, 1gb

SRC is the filepath.

Options:

  • -c, --chunk, INTEGER, number of chunks to output
  • -s, --size, TEXT, size of each chunk

Example

Split a file into 5 chunks

nsplit split -c 5 /mnt/c/Users/estep/Videos/Captures/mgs1.mp4

$ nsplit split -c 5 /mnt/c/Users/estep/Videos/Captures/mgs1.mp4
100%|█████████████████████████████████████████████████████████████████████████████████████| 5/5 [00:00<00:00, 37.28it/s]
splitted /mnt/c/Users/estep/Videos/Captures/mgs1.mp4 into 5 chunks
Split a file into chunks of 25MB each

nsplit split -s 25mb /mnt/c/Users/estep/Videos/Captures/medium.webm

$ nsplit split -s 25mb /mnt/c/Users/estep/Videos/Captures/medium.webm
100%|███████████████████████████████████████████████████████████████████████████████████| 18/18 [00:08<00:00,  2.00it/s]
splitted /mnt/c/Users/estep/Videos/Captures/medium.webm into 18 chunks

Merge

Usage

nsplit merge [OPTIONS] SRC

Merge NFS splitted file chunks into one.

NFS splitted file chunks can be identified with .c1, .c2 (etc.) appended to the end of original file's name (path).

If multiple files that are splitted are found, user can choose which one to merge.

If the original file exists under the same directory, a new file with _copy appended to the filename will be created.

SRC is the directory path that contains (parent to) splitted file chunks.

Options:

  • -r, --remove, remove splitted file chunks after merge

Example

Merge splitted file chunks into one

nsplit merge /mnt/c/Users/estep/Videos/Captures

$ nsplit merge /mnt/c/Users/estep/Videos/Captures
100%|█████████████████████████████████████████████████████████████████████████████████████| 5/5 [00:00<00:00, 50.87it/s]
merged splitted file chunks to /mnt/c/Users/estep/Videos/Captures/mgs1_copy.mp4
Merge splitted file chunks into one and remove chunks

nsplit merge -r /mnt/c/Users/estep/Videos/Captures

$ nsplit merge -r /mnt/c/Users/estep/Videos/Captures
100%|█████████████████████████████████████████████████████████████████████████████████████| 5/5 [00:00<00:00, 49.96it/s]
merged splitted file chunks to /mnt/c/Users/estep/Videos/Captures/mgs1_copy.mp4
removed splitted file chunks
Merge splitted file chunks into one where chunks of other files exist

nsplit merge /mnt/c/Users/estep/Videos/Captures

$ nsplit merge /mnt/c/Users/estep/Videos/Captures
found 2 splitted file chunks, choose one to proceed:
1 - dup.mov
2 - mgs1.mp4
your answer: 2
100%|█████████████████████████████████████████████████████████████████████████████████████| 5/5 [00:00<00:00, 47.95it/s]
merged splitted file chunks to /mnt/c/Users/estep/Videos/Captures/mgs1_copy.mp4

Author

Binghuan Zhang - esteponawondering@gmail.com

LICENSE

MIT

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

nfs_estepona-0.3.0.tar.gz (5.6 kB view hashes)

Uploaded Source

Built Distribution

nfs_estepona-0.3.0-py3-none-any.whl (6.3 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page