conda-mirror 0.8.0

Mirror an upstream conda channel to a local directory

conda-mirror

Mirrors an upstream conda channel to a local directory.

Install

conda-mirror is available on PyPI and conda-forge.

Install with:

pip install conda-mirror

or:

conda install conda-mirror -c conda-forge

Compatibility

conda-mirror is intentionally a py3 only package

CLI

CLI interface for conda-mirror.py

usage: conda-mirror [-h] [--upstream-channel UPSTREAM_CHANNEL]
                    [--target-directory TARGET_DIRECTORY]
                    [--temp-directory TEMP_DIRECTORY] [--platform PLATFORM]
                    [-v] [--config CONFIG] [--pdb] [--num-threads NUM_THREADS]
                    [--version] [--dry-run] [--no-validate-target]
                    [--minimum-free-space MINIMUM_FREE_SPACE]

CLI interface for conda-mirror.py

optional arguments:
  -h, --help            show this help message and exit
  --upstream-channel UPSTREAM_CHANNEL
                        The target channel to mirror. Can be a channel on
                        anaconda.org like "conda-forge" or a full qualified
                        channel like "https://repo.continuum.io/pkgs/free/"
  --target-directory TARGET_DIRECTORY
                        The place where packages should be mirrored to
  --temp-directory TEMP_DIRECTORY
                        Temporary download location for the packages. Defaults
                        to a randomly selected temporary directory. Note that
                        you might need to specify a different location if your
                        default temp directory has less available space than
                        your mirroring target
  --platform PLATFORM   The OS platform(s) to mirror. one of: {'linux-64',
                        'linux-32','osx-64', 'win-32', 'win-64'}
  -v, --verbose         logging defaults to error/exception only. Takes up to
                        three '-v' flags. '-v': warning. '-vv': info. '-vvv':
                        debug.
  --config CONFIG       Path to the yaml config file
  --pdb                 Enable PDB debugging on exception
  --num-threads NUM_THREADS
                        Num of threads for validation. 1: Serial mode. 0: All
                        available.
  --version             Print version and quit
  --dry-run             Show what will be downloaded and what will be removed.
                        Will not validate existing packages
  --no-validate-target  Skip validation of files already present in target-
                        directory
  --minimum-free-space MINIMUM_FREE_SPACE
                        Threshold for free diskspace. Given in megabytes.

Example Usage

WARNING: Invoking this command will pull ~10GB and take at least an hour

conda-mirror --upstream-channel conda-forge --target-directory local_mirror --platform linux-64

More Details

blacklist/whitelist configuration

example-conf.yaml:

blacklist:
    - license: "*agpl*"
    - license: None
    - license: ""

whitelist:
    - name: system

blacklist removes package(s) that match the condition(s) listed from the upstream repodata.

whitelist re-includes any package(s) from blacklist that match the whitelist conditions.

blacklist and whitelist both take lists of dictionaries. The keys in the dictionary need to be values in the repodata.json metadata. The values are (unix) globs to match on. Go here for the full repodata of the upstream "defaults" channel: http://conda.anaconda.org/anaconda/linux-64/repodata.json

Here are the contents of one of the entries in repodata['packages']

{'botocore-1.4.10-py34_0.tar.bz2': {'arch': 'x86_64',
  'binstar': {'channel': 'main',
   'owner_id': '55fc8527d3234d09d4951c71',
   'package_id': '56b88ea1be1cc95a362b218e'},
  'build': 'py34_0',
  'build_number': 0,
  'date': '2016-04-11',
  'depends': ['docutils >=0.10',
   'jmespath >=0.7.1,<1.0.0',
   'python 3.4*',
   'python-dateutil >=2.1,<3.0.0'],
  'license': 'Apache',
  'md5': 'b35a5c1240ba672e0d9d1296141e383c',
  'name': 'botocore',
  'platform': 'linux',
  'requires': [],
  'size': 1831799,
  'version': '1.4.10'}}

See implementation details in the conda_mirror:match function for more information.

Common usage patterns

Mirror only one specific package

If you wanted to match exactly the botocore package listed above with your config, then you could use the following configuration to first blacklist all packages and then include just the botocore packages:

blacklist:
    - name: "*"
whitelist:
    - name: botocore
      version: 1.4.10
      build: py34_0

Mirror everything but agpl licenses

blacklist:
    - license: "*agpl*"

Mirror only python 3 packages

blacklist:
    - name: "*"
whitelist:
    - build: "*py3*"

Testing

Install test requirements

Note: Will install packages from pip

$ pip install -r test-requirements.txt
Requirement already satisfied: pytest in /home/edill/miniconda/lib/python3.5/site-packages (from -r test-requirements.txt (line 1))
Requirement already satisfied: coverage in /home/edill/miniconda/lib/python3.5/site-packages (from -r test-requirements.txt (line 2))
Requirement already satisfied: pytest-ordering in /home/edill/miniconda/lib/python3.5/site-packages (from -r test-requirements.txt (line 3))
Requirement already satisfied: py>=1.4.29 in /home/edill/miniconda/lib/python3.5/site-packages (from pytest->-r test-requirements.txt (line 1))

Run the tests, invoking with the coverage tool.

$ coverage run run_tests.py
sys.argv=['run_tests.py']
========================================= test session starts ==========================================
platform linux -- Python 3.5.3, pytest-3.0.6, py-1.4.31, pluggy-0.4.0 -- /home/edill/miniconda/bin/python
cachedir: .cache
rootdir: /home/edill/dev/maxpoint/github/conda-mirror, inifile:
plugins: xonsh-0.5.2, ordering-0.4
collected 4 items

test/test_conda_mirror.py::test_match PASSED
test/test_conda_mirror.py::test_cli[https://repo.continuum.io/pkgs/free-linux-64] PASSED
test/test_conda_mirror.py::test_cli[conda-forge-linux-64] PASSED
test/test_conda_mirror.py::test_handling_bad_package PASSED

======================================= 4 passed in 4.41 seconds =======================================

Show the coverage statistics

$ coverage report -m
Name                           Stmts   Miss  Cover   Missing
------------------------------------------------------------
conda_mirror/__init__.py           3      0   100%
conda_mirror/conda_mirror.py     236     20    92%   203-205, 209-210, 214, 240, 249-254, 262-264, 303, 366, 497, 542-543, 629
------------------------------------------------------------
TOTAL                            239     20    92%

Other

After a new contributor makes a pull-request that is approved, we will reach out and invite you to be a maintainer of the project.

Releasing

To release you need three things

1. Commit rights to conda-mirror
2. A github token
3. The version number that you want to use for the new tag

After you have all three of these things, run the release.sh script (on a unix machine) and pass it the tag that you want to use and your github token:

GITHUB_TOKEN=<github_token> ./release.sh <tag>