ModelScope/docs/source/develop.md

• Develop
• • 1. Code Style
  • 2. Test
  • • 2.1 Test level
    • 2.2 Run tests
    • 2.3 Test data storage
  • Code Review
  • Build pip package
  • Build docker

Develop

1. Code Style

We adopt PEP8 as the preferred code style.

We use the following toolsseed isortseed isortseed isort for linting and formatting:

• flake8: linter
• yapf: formatter
• isort: sort imports

Style configurations of yapf and isort can be found in setup.cfg.
We use pre-commit hook that checks and formats for flake8, yapf, seed-isort-config, isort, trailing whitespaces,
fixes end-of-files, sorts requirments.txt automatically on every commit.
The config for a pre-commit hook is stored in .pre-commit-config.
After you clone the repository, you will need to install initialize pre-commit hook.

pip install -r requirements/tests.txt

From the repository folder

pre-commit install

After this on every commit check code linters and formatter will be enforced.

If you want to use pre-commit to check all the files, you can run

pre-commit run --all-files

If you only want to format and lint your code, you can run

make linter

2. Test

2.1 Test level

There are mainly three test levels:

• level 0: tests for basic interface and function of framework, such as tests/trainers/test_trainer_base.py
• level 1: important functional test which test end2end workflow, such as tests/pipelines/test_image_matting.py
• level 2: scenario tests for all the implemented modules such as model, pipeline in different algorithm filed.

Default test level is 0, which will only run those cases of level 0, you can set test level
via environment variable TEST_LEVEL. For more details, you can refer to test-doc

# run all tests
TEST_LEVEL=2 make test

# run important functional tests
TEST_LEVEL=1 make test

# run core UT and basic functional tests
make test

When writing test cases, you should assign a test level for your test case using
following code. If left default, the test level will be 0, it will run in each
test stage.

File test_module.py

from modelscope.utils.test_utils import test_level

class ImageCartoonTest(unittest.TestCase):
    @unittest.skipUnless(test_level() >= 1, 'skip test in current test level')
    def test_run_by_direct_model_download(self):
        pass

2.2 Run tests

1. Run your own single test case to test your self-implemented function. You can run your
   test file directly, if it fails to run, pls check if variable TEST_LEVEL
   exists in the environment and unset it.

python tests/path/to/your_test.py

2. Remember to run core tests in local environment before start a codereview, by default it will
   only run test cases with level 0.

make tests

3. After you start a code review, ci tests will be triggered which will run test cases with level 1

4. Daily regression tests will run all cases at 0 am each day using master branch.

2.3 Test data storage

As we need a lot of data for testing, including images, videos, models. We use git lfs
to store those large files.

1. install git-lfs
   for mac

brew install git-lfs
git lfs install

for centos, please download rpm from git-lfs github release website

wget http://101374-public.oss-cn-hangzhou-zmf.aliyuncs.com/git-lfs-3.2.0-1.el7.x86_64.rpm
sudo rpm -ivh git-lfs-3.2.0-1.el7.x86_64.rpm
git lfs install

for ubuntu

curl -s https://packagecloud.io/install/repositories/github/git-lfs/script.deb.sh | sudo bash
sudo apt-get install git-lfs
git lfs install

2. track your data type using git lfs, for example, to track png files

git lfs track "*.png"

3. add your test files to data/test/ folder, you can make directories if you need.

git add data/test/test.png

4. commit your test data to remote branch

git commit -m "xxx"

To pull data from remote repo, just as the same way you pull git files.

git pull origin branch_name

Code Review

1. Run following command to create an aone CR, replace TARGET_BRANCH and CR_NAME with the one you want.

   git push origin HEAD:refs/for/TARGET_BRANCH/CR_NAME
   

   Please refer to https://yuque.antfin.com/aone/platform/lcg8yr for more details.

   The following output is expected.

   Counting objects: 5, done.
   Delta compression using up to 96 threads.
   Compressing objects: 100% (5/5), done.
   Writing objects: 100% (5/5), 543 bytes | 0 bytes/s, done.
   Total 5 (delta 4), reused 0 (delta 0)
   remote: +------------------------------------------------------------------------+
   remote: | Merge Request #8949062 was created or updated.                         |
   remote: | View merge request at URL:                                             |
   remote: | https://code.aone.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/8949062 |
   remote: +------------------------------------------------------------------------+
   To git@gitlab.alibaba-inc.com:Ali-MaaS/MaaS-lib.git
   * [new branch]      HEAD -> refs/for/master/support_kwargs_pipeline
   

2. Open the remote url https://code.aone.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/ID and edit the title of CR with following format before merging your code:

   • Feature

     [to #AONE_ID] feat: commit title
     
     Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/8949062
     
     * commit msg1
     * commit msg2
     

   • Bugfix

     [to #AONE_ID] fix: commit title
     
     Link: https://code.alibaba-inc.com/Ali-MaaS/MaaS-lib/codereview/8949062
     
     * commit msg1
     * commit msg2
     

Build pip package

make whl

Build docker

build develop docker

sudo make -f Makefile.docker devel-image

push develop docker, passwd pls ask wenmeng.zwm

sudo docker login --username=mass_test@test.aliyunid.com registry.cn-shanghai.aliyuncs.com
Password:
sudo make -f Makefile.docker devel-push

To build runtime image, just replace devel with runtime in the upper commands.

udo make -f Makefile.docker runtime-image runtime-push