Metadata-Version: 2.1
Name: conda_mirror
Version: 0.9.0
Summary: Mirror an upstream conda channel to a local directory
Home-page: https://github.com/regro/conda-mirror
Author: Eric Dill
Author-email: eric.dill@maxpoint.com
License: BSD 3-Clause
Platform: Linux
Platform: Mac OSX
Platform: Windows
Description-Content-Type: text/markdown
License-File: LICENSE
License-File: AUTHORS.md

# conda-mirror

[![Build Status](https://travis-ci.org/regro/conda-mirror.svg?branch=master)](https://travis-ci.org/regro/conda-mirror)
[![PyPI version](https://badge.fury.io/py/conda-mirror.svg)](https://badge.fury.io/py/conda-mirror)
[![codecov](https://codecov.io/gh/regro/conda-mirror/branch/master/graph/badge.svg)](https://codecov.io/gh/regro/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]
                    [-D] [-v] [--config CONFIG] [--pdb]
                    [--num-threads NUM_THREADS] [--version] [--dry-run]
                    [--no-validate-target]
                    [--minimum-free-space MINIMUM_FREE_SPACE] [--proxy PROXY]
                    [--ssl-verify SSL_VERIFY] [-k]
                    [--max-retries MAX_RETRIES] [--no-progress]

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'}
  -D, --include-depends
                        Include packages matching any dependencies of
                        packages in whitelist.
  -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.
  --proxy PROXY         Proxy URL to access internet if needed
  --ssl-verify SSL_VERIFY, --ssl_verify SSL_VERIFY
                        Path to a CA_BUNDLE file with certificates of trusted
                        CAs, this may be "False" to disable verification as
                        per the requests API.
  -k, --insecure        Allow conda to perform "insecure" SSL connections and
                        transfers. Equivalent to setting 'ssl_verify' to
                        'false'.
  --max-retries MAX_RETRIES
                        Maximum number of retries before a download error is
                        reraised, defaults to 100
  --no-progress         Do not display progress bars.
```

## 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:

```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, but in the case of the `version` attribute,
[conda package match version specifications](https://docs.conda.io/projects/conda/en/latest/user-guide/concepts/pkg-specs.html#package-match-specifications)
may also be used.

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
```

you can use standard conda package version specifiers to filter a range of versions:

```yaml
blacklist:
    - name: "*"
whitelist:
    - name: botocore
      version: ">=1.4.10,<1.5"
```

##### Mirror everything but agpl licenses
```yaml
blacklist:
    - license: "*agpl*"
```

##### Mirror only python 3 packages
```yaml
blacklist:
    - name: "*"
whitelist:
    - build: "*py3*"
```

##### Mirror specified packages and their dependencies

This will include all instances of botocore with at least
version 1.4.10 along with any packages that match its
dependencies (and likewise for dependencies of those packages).

```yaml
blacklist:
    - name: "*"
whitelist:
  - name: botocore
    version: ">=1.4.10"
include_depends: True
```

If this includes too many packages versions, you can add additional
entries to the whitelist to limit what will be included.

## 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:

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