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توضیحات

Mirror an upstream conda channel to a local directory

ویژگی	مقدار
سیستم عامل	-
نام فایل	conda-mirror-ng-0.8.1
نام	conda-mirror-ng
نسخه کتابخانه	0.8.1
نگهدارنده	[]
ایمیل نگهدارنده	[]
نویسنده	Eric Dill
ایمیل نویسنده	-
آدرس صفحه اصلی	https://github.com/xhochy/conda-mirror-ng
آدرس اینترنتی	https://pypi.org/project/conda-mirror-ng/
مجوز	BSD 3-Clause

# conda-mirror-ng [![Build Status](https://travis-ci.com/xhochy/conda-mirror-ng.svg?branch=master)](https://travis-ci.com/xhochy/conda-mirror-ng)   Mirrors an upstream conda channel to a local directory. ## Install `conda-mirror-ng` is available on PyPI and conda-forge. Install with: `pip install conda-mirror-ng` or: `conda install conda-mirror-ng -c conda-forge` ## Compatibility `conda-mirror-ng` is intentionally a Py3.6+ only package ## CLI CLI interface for `conda-mirror-ng` ``` usage: conda-mirror-ng [-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-ng 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-ng --upstream-channel conda-forge --target-directory local_mirror --platform linux-64` ## More Details ### blacklist/whitelist configuration example-conf.yaml: ```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'] ```python {'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: ```yaml blacklist: - name: "*" whitelist: - name: botocore version: 1.4.10 build: py34_0 ``` ##### Mirror everything but agpl licenses ```yaml blacklist: - license: "*agpl*" ``` ##### Mirror only python 3 packages ```yaml 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 ======================================= ``` ## Releasing To release you need three things 1. Commit rights to conda-mirror-ng 2. Access to `conda-mirror-ng` on PyPI 3. Access to `conda-mirror-ng-feedstock` on conda-forge After you have all three of these things, add a git tag, upload an sdist using `twine` and merge the automatically generated PR on conda-forge.

نحوه نصب

نصب پکیج whl conda-mirror-ng-0.8.1:

pip install conda-mirror-ng-0.8.1.whl

نصب پکیج tar.gz conda-mirror-ng-0.8.1:

pip install conda-mirror-ng-0.8.1.tar.gz