How to simulate ZipFile.open in Python 2.5?

Question

I want to extract a file from a zip to a specific path, ignoring the file path in the archive. This is very easy in Python 2.6 (my docstring is longer than the code)

import shutil
import zipfile

def extract_from_zip(name, dest_path, zip_file):
    """Similar to zipfile.ZipFile.extract but extracts the file given by name
    from the zip_file (instance of zipfile.ZipFile) to the given dest_path
    *ignoring* the filename path given in the archive completely
    instead of preserving it as extract does.
    """
    dest_file = open(dest_path, 'wb')
    archived_file = zip_file.open(name)
    shutil.copyfileobj(archived_file, dest_file)


 extract_from_zip('path/to/file.dat', 'output.txt', zipfile.ZipFile('test.zip', 'r'))

But in Python 2.5, The ZipFile.open method is not available. I couldn't find a solution on stackoverflow, but this forum post had a nice solution that makes use of the ZipInfo.file_offset to seek to the right point in the zip and use zlib.decompressobj to unpack the bytes from there. Unfortunately ZipInfo.file_offset was removed in Python 2.5!

So, given that all we have in Python 2.5 is the ZipInfo.header_offset, I figured I'd just have to parse and skip over the header structure to get to the file offset myself. Using Wikipedia as a reference (I know) I came up with this much longer and not very elegant solution.

import zipfile
import zlib

def extract_from_zip(name, dest_path, zip_file):
    """Python 2.5 version :("""
    dest_file = open(dest_path, 'wb')
    info = zip_file.getinfo(name)
    if info.compress_type == zipfile.ZIP_STORED:
        decoder = None
    elif info.compress_type == zipfile.ZIP_DEFLATED:
        decoder = zlib.decompressobj(-zlib.MAX_WBITS)
    else:
        raise zipfile.BadZipFile("Unrecognized compression method")

    # Seek over the fixed size fields to the "file name length" field in
    # the file header (26 bytes). Unpack this and the "extra field length"
    # field ourselves as info.extra doesn't seem to be the correct length.
    zip_file.fp.seek(info.header_offset + 26)
    file_name_len, extra_len = struct.unpack("<HH", zip_file.fp.read(4))
    zip_file.fp.seek(info.header_offset + 30 + file_name_len + extra_len)

    bytes_to_read = info.compress_size

    while True:
        buff = zip_file.fp.read(min(bytes_to_read, 102400))
        if not buff:
            break
        bytes_to_read -= len(buff)
        if decoder:
            buff = decoder.decompress(buff)
        dest_file.write(buff)

    if decoder:
        dest_file.write(decoder.decompress('Z'))
        dest_file.write(decoder.flush())

Note how I unpack and read the field that gives the length of the extra field, because calling len on the ZipInfo.extra attribute gives 4 bytes less, thus causing the offset to be calculated incorrectly. Perhaps I'm missing something here?

Can anyone improve on this solution for Python 2.5?

Edit: I should have said, the obvious solution as suggested by ChrisAdams

dest_file.write(zip_file.read(name))

will fail with MemoryError for any reasonably sized file contained in the zip because it tries to slurp the whole file into memory in one go. I have large files, so I need to stream out the contents to disk.

Also, upgrading Python is the obvious solution, but one that is entirely out of my hands and essentially impossible.

Answer 1

Haven't tested this bit, but I use something extremely similar in Python 2.4

import zipfile

def extract_from_zip(name, dest_path, zip_file):
    dest_file = open(dest_path, 'wb')
    dest_file.write(zip_file.read(name))
    dest_file.close()

extract_from_zip('path/to/file/in/archive.dat', 
        'output.txt', 
        zipfile.ZipFile('test.zip', 'r'))

Answer 2

Wouldn't it be easier to use an external unzipping tool (e.g. unzip on Linux / the command-line version of 7-Zip or pkunzip on Windows)?

Answer 3

Given my constraints, it looks like the answer was given in my question: parse the ZipFile structure yourself and use zlib.decompressobj to unzip the bytes once you've found them.

If you don't have (/suffer from) my constraints, you can find better answers here:

1. If you can, just upgrade Python 2.5 to 2.6 (or later!), as suggested in a comment by Daenyth.
2. If you only have small files in the zip which can be 100% loaded in memory, use ChrisAdams' answer
3. If you can introduce a dependency on an external utility, make an appropriate system call to /usr/bin/unzip or similar, as suggested in Vlad's answer