An efficient library to read from new and old format .conda and .tar.bz2 conda packages.

Download conda metadata from packages without transferring entire file. Get metadata from local .tar.bz2 packages without reading entire files.

Uses enhanced pip lazy_wheel to fetch a file out of .conda with no more than 3 range requests, but usually 2.

Uses tar = tarfile.open(fileobj=...) to stream remote .tar.bz2. Closes the HTTP request once desired files have been seen.

The basic API yields (tarfile, member) tuples from conda files as tarfile is needed to extract member. Note the .tar.bz2 format yields all members, not just info/, from stream_conda_info / stream_conda_component, while the .conda format yields members from the requested inner archive — allowing the caller to decide when to stop reading.

From a url,

from conda_package_streaming.url import stream_conda_info
# url = (ends with .conda or .tar.bz2)
for tar, member in stream_conda_info(url):
    if member.name == "info/index.json":
        index_json = json.load(tar.extractfile(member))
        break

From s3,

client = boto3.client("s3")
from conda_package_streaming.s3 import stream_conda_info
# key = (ends with .conda or .tar.bz2)
for tar, member in stream_conda_info(client, bucket, key):
    if member.name == "info/index.json":
        index_json = json.load(tar.extractfile(member))
        break

From a filename,

from conda_package_streaming import package_streaming
# filename = (ends with .conda or .tar.bz2)
for tar, member in package_streaming.stream_conda_info(filename):
    if member.name == "info/index.json":
        index_json = json.load(tar.extractfile(member))
        break

From a file-like object,

from contextlib import closing

from conda_package_streaming.url import conda_reader_for_url
from conda_package_streaming.package_streaming import stream_conda_component
filename, conda = conda_reader_for_url(url)

# file object must be seekable for `.conda` format, but merely readable for `.tar.bz2`
with closing(conda):
    for tar, member in stream_conda_component(filename, conda, component="info"):
        if member.name == "info/index.json":
            index_json = json.load(tar.extractfile(member))
            break

If you need the entire package, download it first and use the file-based APIs. The URL-based APIs are more efficient if you only need to access package metadata.

• Extract conda packages (both formats)

• Easy to install from pypi or conda

• Do the least amount of I/O possible (no temporary files, transfer partial packages)

• Open files from the network / standard HTTP / s3

• Continue using conda-package-handling to create .conda packages

Uses markdown, furo theme. Requires newer mdit-py-plugins.

pip install conda-package-streaming[docs]

One time: sphinx-apidoc -o docs .