Skip to content

Latest commit

 

History

History
284 lines (186 loc) · 16.8 KB

CONTRIBUTING.md

File metadata and controls

284 lines (186 loc) · 16.8 KB
Raw

Contributing to MCprep

Thanks for your interest in helping build and extend this addon! MCprep welcomes new contributions, but please be aware that are new additions will be reviewed and may have changes requested of the original owners.

How to contribute

  1. Fork MCprep
  2. Copy over the MCprep_resources folder from the latest live release of MCprep into your local MCprep_addon/ folder of your cloned git repo. Necessary, as these assets are not saved to git lfs yet.
  3. Make changes in your own repository in the forked dev branch (NOT master, which matches only released, typically outdated code)
  4. Test your changes (including updating compile.sh and compile.bat if needed)
  5. Create a pull request back to MCprep:dev with your changes (if you choose the wrong branch, maintainers will fix that for you)
  6. ~ Await review ~
  7. On review, make any requested changes from maintainers. Maintainers may directly push changes to your fork if minimal.
  8. When ready, maintainers will merge the code on your behalf
  9. Eventually, your code will make it into the next MCprep release, congrats!

When it comes to code being reviewed, expect some discussion! If you want to contribute code back but you are not done yet, or want advice, go ahead and start your pull request and clarify it's in draft format - maintainers will likely jump in and give some steering advice. It's a good learning opportunity, but if the review process is getting too lengthy for your liking, don't hesitate to let maintainers know and we can take a more pragmatic approach (such as maintainers making the changes they are requesting, but likely at a slower rate).

Use of AI in Development

Since 2023, AI (Artificial Intelligence) and LLMs (Large Language Models) have surged in popularity and become more common place in development. AI can be an extremely useful tool for developers, especially when used in conjunction with existing knowledge, but it can also be a hindrance with the regards to the quality of generated code. With these in mind, we allow AI for pull requests with the following conditions:

  • The AI is supplemental to the developer's work, not the other way around.
  • The developer is able to modify the generated code based on the requests given in review.
  • The code remains mostly human written, with the AI being used to generate boilerplate code or to help with repetitive tasks.

Overall, AI contributions will be treated with the same level of scrutiny as contributions from humans, with regards to meaningfulness and quality. Contributors should keep in mind what they're doing in the code, and that the change makes sense. For example, throwing a file into an AI with the prompt "Optimize this" will be rejected, as what's being "fixed" isn't clear, and is a lazy change.

A good rule of thumb is this: if it's a lazy use of AI given the size of the change, then it's not a good use of AI.

Avoid the following:

  • Using AI before having an idea of what change or problem you are solving
  • Becoming dependent on the AI
  • Using generated code you don't understand
  • Using AI exclusively without manual work
  • Etc.

So long as these guidelines are followed, all is good with regards to using AI.

Keeping MCprep compatible

MCprep is uniquely made stable and functional across a large number of versions of blender. As of April 2022, it still even supports releases of Blender 2.8 while simultaneously supporting Blender 3.5+, and everything in between.

This is largely possible for a few reasons:

  1. Automated tests plus an automated installer makes ensures that any changes that break older versions of blender will be caught automatically.
  2. Abstracting API changes vs directly implementing changes. Instead of swapping "group" for "collection" in the change to blender 2.8, we create if/else statements and wrapper functions that fetch the attribute that exists based on the version of blender. Want more info about this? See the article here.

Compiling and running tests

As above, a critical component of maintaining support and ensuring the wide number of MCprep features are stable, is running automated tests.

Compile MCprep using scripts

MCprep uses the bpy-addon-build package to build the addon, which makes it fast to copy the entire addon structure the addon folders for multiple versions of blender.

The benefit? You don't have to manually navigate and install zip files in blender for each change you make - just run the command and restart blender. It is important you do restart blender after changes, as there can be unintended side effects of trying to reload a plugin.

As a quick start:

# Highly recommended, create a local virtual environment (could also define globally)
python3 -m pip install --user virtualenv

python3 -m pip install --upgrade pip  # Install/upgrade pip
python3 -m venv ./venv  # Add a local virtual env called `venv`

# Activate that environment
## On windows:
.\venv\Scripts\activate
## On Mac/linux:
source venv/bin/activate

# Now with the env active, do the pip install (or upgrade)
pip install --upgrade bpy-addon-build

# Finally, you can compile MCprep using:
bpy-addon-build --during-build dev # Use dev to use non-prod related resources and tracking.

Moving forward, you can now build the addon for all intended supported versions using: bpy-addon-build -b dev

Run tests

You run the main test suite by running the wrapper run_tests.sh file (mac) or run_tests.bat (windows). This will automatically run the corresponding compile script which will copy code from your MCprep git repo into the different blender addons folders, and then one by one (if run_tests.sh -all is used on mac) it will test each version of blender to see if things are still working. At the end, you get a csv file that indicates which tests fail or passed, broken down by blender version.

Note: the windows run_tests.bat script always tests across all versions of blender, there is not currently a way to run the tests for only a single version of blender (unless of course, you only have one version of blender listed in your blender_execs.txt file).

There are a couple flaky tests, but the goal is to reduce this over time. This includes the "import_mineways_combined" test, which does not pass but is a reminder to try and improve that test specifically. All other tests should pass.

If all tests successfully complete, you'll get a csv file like so:

blender	failed_test	short_err
(3, 1, 0)	ALL PASSED	-
(3, 0, 0)	ALL PASSED	-
(2, 93, 0)	ALL PASSED	-
(2, 92, 0)	ALL PASSED	-
(2, 90, 1)	ALL PASSED	-
(2, 80, 75)	ALL PASSED	-

If there are some unit tests that failed, it might look more like so (in this case, there was only one failed test and it was the same across blender versions, showing it's a consistent problem):

blender	failed_test	short_err
(3, 1, 0)	import_mineways_combined	unmapped than mapped
(3, 0, 0)	import_mineways_combined	unmapped than mapped
(2, 93, 0)	import_mineways_combined	unmapped than mapped
(2, 92, 0)	import_mineways_combined	unmapped than mapped
(2, 90, 1)	import_mineways_combined	unmapped than mapped
(2, 80, 75)	import_mineways_combined	unmapped than mapped

Run a specific test quickly

Working on a new test? Or maybe one specific test is failing? It's convenient to be able to run that one test on its own quickly to see if your problem is resolved, which you can do with a command like .\run_tests.bat -run spawn_mob (works on Mac's run_tests.sh script too).

NOTE!

In order to run these tests, you must ensure your git folder with your MCprep code is in a safe spot, outside of the blender install folders. This is because the install script will attempt to remove and then copy the addon back into the blender addons folder. Tests will directly load some modules from the git repo folder structure (not from the addons folder), others which use operator calls are using the installed module code in blender itself.

Releasing MCprep

At the moment, only the project lead (TheDuckCow) should ever mint new releases for MCprep. However, the steps are noted here for completeness:

  1. All releases need a corresponding milestone, like v3.3.1
  2. Make sure the version is the correct number for the release (should match a corresponding milestone). Make this commit on the dev branch.
  3. Create a pull request and merge dev into master (without deleting the dev branch). Close out any remaining corresponding milestones. Add this pull request to the milestone, only merging when all other tasks are completed or moved out of the milestone.
  4. Check out master, git pull
  5. Make sure that "dev" = False in conf.py, so that prod resources are used for reporting (it should always be this way on the master branch without doing anything, even after doing a merge from dev; but always double check)
  6. Create a draft release on GitHub
    • Tag is in the form 3.3.1, no leading v.
    • The title however is in the form MCprep v3.3.0 | ShortName where version has a leading v.
    • Copy the body fo the description from the prior release, and then update the text and splash screen (if a major release). Edit a prior release without making changes to get the raw markdown code, e.g. from here.
  7. Run bpy-addon-build.py to build the addon
  8. Run all tests, ideally on two different operating systems. Use the ./run_tests.sh -all flag to run on all versions of blender
  9. If all tests pass, again DOUBLE CHECK that "dev" = false in conf.py, then
  10. Drag and drop the generated updated zip file onto github.
  11. Rename so it's in the form including its version number, e.g. MCprep_addon_v3.3.0.zip
  12. Press publish release
    1. Immediately download and install an old release MCprep, and install into blender (restart blender too)
    2. Make sure that the trigger to update MCprep to the new version is working.
    3. If it works, then immediately update the https://theduckcow.com/dev/blender/mcprep-download/ page to point to the new number (must be manually updated by TheDuckCow).
    4. Anything wrong? Immediately delete the entire release, and as a second step, also delete the tag (you likely want to copy the markdown text of the release though to a safe temporary space, so you don't lose that). You can do both steps from the github UI.
  13. After release, enter hypercare by monitoring the discord channel and the datastudio dashboard for error reporting (only core contributors will have access to this)
  14. git checkout dev, and then upversion the dev branch to a unique incremental version. So if you just released v3.3.1, then the dev branch should be updated to be (3, 3, 1, 1) so that we can tell official releases apart from dev versions.

Creating your blender_execs.txt

Your blender_execs.txt defines where to find the executables used in the automated testing scripts. Only these executables will be used during automated testing, noting that the testing system only supports blender version 2.8+ (sadly, only manual testing is possible in blender 2.7 with the current setup). It could look like:

/Applications/blender 3.1/Blender.app/Contents/MacOS/blender
/Applications/blender 3.0/Blender.app/Contents/MacOS/Blender
/Applications/blender 2.93/Blender.app/Contents/MacOS/Blender
/Applications/blender 2.90/Blender.app/Contents/MacOS/Blender
/Applications/blender 2.80/Blender.app/Contents/MacOS/Blender

You don't necessarily have to have all these versions of blender installed yourself, maintainers will execute the full amount of tests, but it's a good idea to at least have one version of blender 2.8, 2.9, and 3+ in the mix so you know your code will work backwards. If it doesn't, that's fine too, work with maintainers on how to add version checks (which will just disable your changes for older versions of blender).

Also note that the first line indicates the only version of blender that will be used for testing unless -all is specified (only for the OSX script; the run_tests.bat script will always test all versions of blender listed).

Development on Windows and Mac

Support for development and testing should work for both platforms, just be aware the primary development of MCprep is happening on a Mac OSX machine, so the mac-side utility scripts have a few more features than windows:

  • Only the mac run_tests.sh script has the -all optional flag. By default, the mac script will only install the first line in the file.

One other detail: MCprep uses Git LFS or Large File Storage, to avoid saving binary files in the git history. Some Windows users may run into trouble when first pulling.

  • If using Powershell and you cloned your repo using SSH credentials, try running start-ssh-agent before running the clone/pull command (per comment here)
  • Alternatively, try using Git for Windows and its console.

Run into other gotchas? Please open a new issue!

Commit Messages

Git commits should explain why a change was made, because the diff will show the changes made. For example, instead of writing:

Added ability to "import" MTL files

Instead do:

Added the ability to "import" MTL files

MCprep's file explorer shows both OBJs and MTLs, and sometimes users end up clicking
MTL files. This brings a quality of life improvement to change the extension
if the file selected is an MTL, since MTLs share the same name as their corresponding
OBJ files

The first line is a summary of the changes, and should be less then 50 characters. The rest should justify the changes. Convince us why these changes are important and why they've been made this way.

Git won't automatically wrap messages either, so each line should have a limit of 72 characters.

Here's a template some MCprep developers found that can help (modified for simplicity) by using # to define which is the limit Git can display for each line:

# Title: Summary, imperative, start upper case, don't end with a period
# No more than 50 chars. #### 50 chars is here:  #

# Body: Explain *what* and *why* (not *how*). Include task ID (Jira issue).
# Wrap at 72 chars. ################################## which is here:  #

Add this to a file called .gitmessage, and then execute the following command: git config --local commit.template /path/to/.gitmessage

To use for each commit, you can use git config --local commit.verbose true to tell Git to perform a verbose commit all the time for just the MCprep repo.

Dependencies

If you're using an IDE, it's recommened to install bpy as a Python module. In our experience, the fake-bpy package seems to be the best.

It's also recommened to use a virtual environment (especially if you're on Linux) as to avoid issues with system wide packages and different versions of bpy. See this for more details

There are 2 methods to do this:

  • Poetry
  • Manualy

Both are listed here.

With Poetry

Poetry is a useful tool that allows easy dependency handling. To quote the website:

Python packaging and dependency management made easy

If you decide to use Poetry, then simply run the following command:

poetry install

To enable the virtual environment, run poetry shell, then type exit when you're done.

Manual: Requirements.txt Edition

First create a virtual environment:

python3 -m venv mcprep_venv_2.80

We use the name mcprep_venv_2.80 to follow MCprep convention. Check the next section if you're curious the why.

To enable:

Windows: mcprep_venv_<version>\Scripts\activate

MacOS and Linux: source mcprep_venv_<version>/bin/activate

To disable: deactivate

Install dependencies:

python3 -m pip install -r requirements.txt

Manual: Setting up bpy Manually Edition

First, we need to come up with a name. For MCprep development, it's recommended to use the following convention: mcprep_venv_<version>

This allows you to have multiple versions of bpy side by side in their own environments.

For example, if I was making a virtul environment for 3.3, I would do mcprep_venv_3.3.

To create a virtual environment, do the following:

python3 -m venv mcprep_venv_<version>

Then to enable it, then:

Windows: mcprep_venv_<version>\Scripts\activate

MacOS and Linux: source mcprep_venv_<version>/bin/activate

This will make your terminal use the virtual environment until you close it or use deactivate. Each time you open your terminal after this, remember to enable the virtual environment

Next we need to install fake-bpy:

python3 -m pip install fake-bpy-module-<version>

If you use PyCharm, you should check the GitHub for additional instructions

Now you're ready to do MCprep development