Mirrors an upstream conda channel to a local directory.
conda-mirror is available on PyPI and conda-forge.
Install with:
pip install conda-mirror
or:
conda install conda-mirror -c conda-forge
conda-mirror is intentionally a py3 only package
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.
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
example-conf.yaml:
blacklist:
- license: "*agpl*"
- license: None
- license: ""
whitelist:
- name: systemblacklist 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.
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_0blacklist:
- license: "*agpl*"blacklist:
- name: "*"
whitelist:
- build: "*py3*"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))
$ 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 =======================================
$ 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%
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.
To release you need three things
- Commit rights to conda-mirror
- A github token
- 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>