Snitch up multipart files as one read-only file object
Project description
FileSnitch
This is a module allows you to concatenate multiple files on the fly and present as a single read-only file object.
Introduction
In Python Standard Libarary, there is a module fileinput
which provides
similar function but useful only for text input, supporting only the
readline()
function. That module does not support rewinding as well.
This module, filesnitch
allows one to seek()
and read()
files. A typical
use case is a multipart zip file. For example, we have multiple files:
foo.zip.001
, foo.zip.002
, foo.zip.003
. To extract some file from it, we
should combine them with the following shell command
cat foo.zip.001 foo.zip.002 foo.zip.003 > foo.zip
Afterwards we can use it, for example using zipfile
module in Python
import zipfile
with zipfile.ZipFile("foo.zip") as zipfp:
for zipinfo in zipfp.infolist():
print("File {} size {}".format(zipinfo.filename, zipinfo.file_size))
With this module, we can avoid creating a combined file but use the chunks directly:
import zipfile
import filesnitch
with filesnitch.input(files=["foo.zip.001", "foo.zip.002", "foo.zip.003"]) as bigfile:
with zipfile.ZipFile(bigfile) as zipfp:
for zipinfo in zipfp.infolist():
print("File {} size {}".format(zipinfo.filename, zipinfo.file_size))
Generally, multiple files can be concatenated as a file object and use in everywhere that a read-only file object is expected.
Getting the latest code
To get the latest code using git, simply type:
git clone git://github.com/righthandabacus/filesnitch.git
Install
You can use pip to install joblib:
pip install filesnitch
from any directory or:
python setup.py install
from the source directory.
Dependencies
filesnitch
has no dependencies besides standard Python libraries. Python 3 required.
Examples
Create a file object of multiple files, tell the total file size, and read the last 20 bytes:
import io
import filesnitch
filenames = ["foo.zip.001", "foo.zip.002", "foo.zip.003"]
fileobj = filesnitch.FileSnitch(filenames) # by default in binary mode
fileobj.seek(0, io.SEEK_END)
filesize = fileobj.tell()
fileobj.seek(-20, io.SEEK_END)
lastbytes = fileobj.read(20)
print("Total file size {}. Last 20 bytes:\n{}".format(filesize, repr(lastbytes))
Above we use the standard function seek()
and tell()
to move within the
concatenated file as if the file object is a standard
io.IOBase
. The
read()
call accepts the size argument for the number of bytes to read. If no
size argument provided, it will read until EOF.
Read all files in one shot as a large blob:
import io
import filesnitch
filenames = ["foo.zip.001", "foo.zip.002", "foo.zip.003"]
with filesnitch.FileSnitch(filenames) as fileobj:
blob = fileobj.readall()
The readall()
call is same as read()
without argument, both will read until
EOF. FileSnitch
class can be used as a context manager.
We can also pass in file objects into FileSnitch()
as long as those file
objects supports seek and read correctly. An example is as follows: The
diabetic-retinopathy-detection.zip
file is a 83GB zip file from
Kaggle (with
correct tools, we can download it using the command kaggle competitions download -c diabetic-retinopathy-detection
). In it, there are seven files,
named test.zip.001
to test.zip.007
, that are parts of a zip file of images.
To extract one image from it without deflating any zip file onto disk, we can
do the following:
import zipfile
import filesnitch
# this call to zipfile needs `allowZip64=True` because of the size is huge
with zipfile.ZipFile("diabetic-retinopathy-detection.zip", allowZip64=True) as zip83G:
# open each file inside the 83GB zip file, then snitch them up as one file object
zipparts = [zip83G.open(f, mode="r") for f in [
"test.zip.001",
"test.zip.002",
"test.zip.003",
"test.zip.004",
"test.zip.005",
"test.zip.006",
"test.zip.007",
]]
with filesnitch.input(files=zipparts, mode='rb') as testzip:
# use the snitched file as another zip file, then read a file inside it
with zipfile.ZipFile(testzip) as zfp:
with zfp.open("test/10000_right.jpeg", mode="r") as fp:
with open("10000_right.jpeg", "wb") as outfp:
outfp.write(fp.read())
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Hashes for filesnitch-0.2.0-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | d0e732a307836fa8e14f384be483648b3805183042501bb0a54498d785bbef4d |
|
MD5 | 35d5b2b4b4a9266e3ca915f3434d3568 |
|
BLAKE2b-256 | 0cae177bb92cf2f5e54f34728c003c52caec74048dbc2a4defdaf62534642d97 |