4

我正在尝试打包我的 python 代码以在 Anaconda 云上发布。文件夹结构如下所示：

.
├── conda-recipe
│   ├── build.bat
│   ├── build.sh
│   └── meta.yaml
├── demos
│   ├── datasets
│   │   ├── com-amazon.all.dedup.cmty.txt
│   │   ├── com-amazon.ungraph.txt
│   │   ├── email-Eu-core-department-labels.txt
│   │   └── email-Eu-core.txt
│   ├── directed_example.ipynb
│   ├── email_eu_core_network_evaluation-Copy1.ipynb
│   ├── node_classification.ipynb
│   └── zacharys_karate_club_evaluation.ipynb
├── LICENSE.txt
├── README.md
├── setup.py
├── sten
│   ├── embedding.py
│   └── __init__.py
├── test
│   ├── __init__.py
│   └── test_system.py
├── zachary_computed.png
└── zachary_expected.png

meta.yaml文件：

package:
  name: sten
  version: "0.1.0"

source:
  path: ..

build:
  number: 0
  noarch: generic

requirements:
  build:
    - python >=3.7
    - setuptools
  run:
    - python >=3.7
    - pypardiso >=0.2.2
    - numpy >=1.18.1
    - networkx >=2.4
    - scipy >=1.4.1
    - markdown


test:
  imports:
    - sten.embedding

about:
  home: https://github.com/monomonedula/simple-graph-embedding
  license: Apache License 2.0
  license_file: LICENSE.txt
  summary: Simple deterministic algorithm for generating graph nodes topological embeddings.

我用于构建包的命令（haasad 是 pypardiso 包的通道名称）： conda build conda-recipe -c haasad 构建成功，我已在此处上传： https ://anaconda.org/monomonedula/sten

但是，在使用本地构建安装后： conda install sten --use-local -c haasad 和上传到云的构建 conda install -c monomonedula sten -c haasad 我遇到了几个问题。

  • 使用 python 3.7 时，我无法导入我的包，即使它列在中conda list（我已经仔细检查了所有内容，我使用的是正确的解释器）。
  • 使用 python 3.8 时，我可以导入和使用它，但由于未知原因我无法安装 stellargraph。错误信息：
Collecting package metadata (current_repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source.
Collecting package metadata (repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: \ 
Found conflicts! Looking for incompatible packages.
This can take several minutes.  Press CTRL-C to abort.
failed                                                                                                                                                       

UnsatisfiableError: The following specifications were found to be incompatible with each other:

Output in format: Requested package -> Available versions

输出conda search sten -c monomonedula --info：

sten 0.1.0 py38_0
-----------------
file name   : sten-0.1.0-py38_0.tar.bz2
name        : sten
version     : 0.1.0
build       : py38_0
build number: 0
size        : 16 KB
license     : Apache License 2.0
subdir      : noarch
url         : https://conda.anaconda.org/monomonedula/noarch/sten-0.1.0-py38_0.tar.bz2
md5         : 53661562513861f9433b252c8ae7b5f4
timestamp   : 2020-05-23 19:24:36 UTC
dependencies: 
  - markdown
  - networkx >=2.4
  - numpy >=1.18.1
  - pypardiso >=0.2.2
  - python >=3.7
  - scipy >=1.4.1

sten 0.1.0 py38_0
-----------------
file name   : sten-0.1.0-py38_0.tar.bz2
name        : sten
version     : 0.1.0
build       : py38_0
build number: 0
size        : 16 KB
license     : Apache License 2.0
subdir      : noarch
url         : https://conda.anaconda.org/monomonedula/noarch/sten-0.1.0-py38_0.tar.bz2
md5         : 53661562513861f9433b252c8ae7b5f4
timestamp   : 2020-05-23 19:24:36 UTC
dependencies: 
  - markdown
  - networkx >=2.4
  - numpy >=1.18.1
  - pypardiso >=0.2.2
  - python >=3.7
  - scipy >=1.4.1

输出conda search stellargraph -c stellargraph --info：

stellargraph 1.0.0 py_0
-----------------------
file name   : stellargraph-1.0.0-py_0.tar.bz2
name        : stellargraph
version     : 1.0.0
build       : py_0
build number: 0
size        : 7.8 MB
license     : Apache Software
subdir      : noarch
url         : https://conda.anaconda.org/stellargraph/noarch/stellargraph-1.0.0-py_0.tar.bz2
md5         : e62b9c897d0a5481159c1e7cb8024717
timestamp   : 2020-05-05 07:54:44 UTC
dependencies: 
  - gensim >=3.4.0
  - ipykernel
  - ipython
  - matplotlib >=2.2
  - networkx >=2.2
  - numpy >=1.14
  - pandas >=0.24
  - python >=3.6
  - scikit-learn >=0.20
  - scipy >=1.1.0
  - tensorflow >=2.1.0

回购

我在这里缺少什么以及如何正确包装它？

4

1 回答 1

3

问题出在您的meta.yaml文件中。根据Anaconda 博客文章：

Noarch 通用包允许用户在 conda 包中分发文档、数据集和源代码

和

Noarch Python 包通过在安装时整理出平台和 Python 版本特定的差异，减少了在不同架构和 Python 版本上构建多个不同纯 Python 包的开销

因为你想分发一个纯 python 包，你应该使用noarch: python. 此外，您不需要在和中设置python版本。我在下面包含了一个更新。它还包括其中的构建脚本，因此您不再需要和文件。它还将许可证部分修复为 conda 将接受的内容（它仍然是 Apache 2.0）。buildrunmeta.yamlbuild.shbuild.bat

package:
  name: sten
  version: "0.1.0"

source:
  path: ..

build:
  number: 0
  noarch: python
  script: {{ PYTHON }} setup.py install

requirements:
  build:
    - python
    - setuptools
  run:
    - python
    - pypardiso >=0.2.2
    - numpy >=1.18.1
    - networkx >=2.4
    - scipy >=1.4.1
    - markdown

test:
  imports:
    - sten.embedding

about:
  home: https://github.com/monomonedula/simple-graph-embedding
  license: Apache-2.0
  license_family: Apache
  license_file: LICENSE.txt
  summary: Simple deterministic algorithm for generating graph nodes topological embeddings.

以下是我使用上述meta.yaml文件构建和安装此软件包的步骤：

git clone https://github.com/monomonedula/simple-graph-embedding
cd simple-graph-embedding/
git checkout 'refactor&cleanup'
# Replace contents of `meta.yaml`
rm conda-recipe/build.sh conda-recipe/build.bat
conda create --yes -n testing python=3.7 conda-build conda-verify
conda activate testing
conda-build --channel haasad .

这是我在 3.7 环境中安装软件包所做的。您将在日志输出sten-0.1.0-py_0.tar.bz2底部找到完整路径。conda-build

conda install -n testing /home/jakub/miniconda3/envs/testing/conda-bld/noarch/sten-0.1.0-py_0.tar.bz2
conda activate testing
$CONDA_PREFIX/bin/python -c "import sten"

我还在 python 3.8 环境中测试了安装。

conda create --yes -n testing3.8 python=3.8
conda install -n testing3.8 /home/jakub/miniconda3/envs/testing/conda-bld/noarch/sten-0.1.0-py_0.tar.bz2
conda activate testing3.8
$CONDA_PREFIX/bin/python -c "import sten"

conda install --use-local sten不适合我——有一个关于它的GitHub 问题。

于 2020-05-29T21:06:05.773 回答