Python: organize packages in package directory (#420)

* Move packages to packages directory

* remove screenshot

* update some paths
This commit is contained in:
Jack Gerrits 2024-08-28 13:35:21 -04:00 committed by GitHub
parent 725f13c3f8
commit 5e8840d13c
246 changed files with 247 additions and 888 deletions

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@ -14,7 +14,7 @@ jobs:
strategy:
matrix:
working-directory:
["./python", "./python/teams/team-one", "./python/tools/agbench"]
["./python/packages/autogen-core", "./python/packages/team-one", "./python/packages/agbench"]
steps:
- uses: actions/checkout@v4
- name: Install Hatch
@ -27,7 +27,7 @@ jobs:
strategy:
matrix:
working-directory:
["./python", "./python/teams/team-one", "./python/tools/agbench"]
["./python/packages/autogen-core", "./python/packages/team-one", "./python/packages/agbench"]
steps:
- uses: actions/checkout@v4
- name: Install Hatch
@ -40,7 +40,7 @@ jobs:
strategy:
matrix:
working-directory:
["./python", "./python/teams/team-one", "./python/tools/agbench"]
["./python/packages/autogen-core", "./python/packages/team-one", "./python/packages/agbench"]
steps:
- uses: actions/checkout@v4
- name: Install Hatch
@ -53,7 +53,7 @@ jobs:
strategy:
matrix:
working-directory:
["./python", "./python/teams/team-one", "./python/tools/agbench"]
["./python/packages/autogen-core", "./python/packages/team-one", "./python/packages/agbench"]
steps:
- uses: actions/checkout@v4
- name: Install Hatch
@ -71,7 +71,7 @@ jobs:
- name: Install Hatch
uses: pypa/hatch@install
- run: hatch run +python=${{ matrix.python-version }} test-matrix:pytest -n auto
working-directory: ./python
working-directory: ./python/packages/autogen-core
team-one-test:
runs-on: ubuntu-latest
@ -85,7 +85,7 @@ jobs:
- run: |
hatch run +python=${{ matrix.python-version }} teamone-test-matrix:playwright install
hatch run +python=${{ matrix.python-version }} teamone-test-matrix:pytest -n auto
working-directory: ./python/teams/team-one
working-directory: ./python/packages/team-one
mypy-notebooks:
runs-on: ubuntu-latest
@ -94,7 +94,7 @@ jobs:
- name: Install Hatch
uses: pypa/hatch@install
- run: hatch run nbqa mypy docs/src
working-directory: ./python
working-directory: ./python/packages/autogen-core
docs:
runs-on: ubuntu-latest
@ -103,4 +103,4 @@ jobs:
- name: Install Hatch
uses: pypa/hatch@install
- run: hatch run docs:check
working-directory: ./python
working-directory: ./python/packages/autogen-core

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@ -1,61 +1,3 @@
# AGNext
# AutoGen Python packages
- [Documentation](http://microsoft.github.io/agnext)
- [Examples](https://github.com/microsoft/agnext/tree/main/python/samples)
## Package layering
- `core` are the the foundational generic interfaces upon which all else is built. This module must not depend on any other module.
- `application` are implementations of core components that are used to compose an application.
- `components` are the building blocks for creating agents.
## Development
**TL;DR**, run all checks with:
```sh
hatch run check
```
### Setup
- [Install `hatch`](https://hatch.pypa.io/1.12/install/).
### Virtual environment
To get a shell with the package available (virtual environment),
in the current directory,
run:
```sh
hatch shell
```
### Common tasks
- Format: `hatch run check`
- Lint: `hatch run lint`
- Test: `hatch run pytest -n auto`
- Mypy: `hatch run mypy`
- Pyright: `hatch run pyright`
- Build docs: `hatch run docs:build`
- Auto rebuild+serve docs: `hatch run docs:serve`
> [!NOTE]
> These don't need to be run in a virtual environment, `hatch` will automatically manage it for you.
#### IntelliJ Support
To enable the `hatch` virtual environment in IntelliJ, follow these steps:
Under the `[tool.hatch.envs.default]` heading in `pyproject.toml`, add this:
```toml
[tool.hatch.envs.default]
type = "virtual"
path = ".venv"
```
Run `hatch shell` in the terminal to create the virtual environment.
Then, in IntelliJ, go to `File` -> `Project Structure` -> `Project Settings` -> `Project` -> `Project SDK` and select the Python interpreter in the `.venv` directory.
Once complete, your IDE should be able to resolve, run, and debug code.
See [`autogen-core`](./packages/autogen-core/) package for main functionality.

174
python/packages/autogen-core/.gitignore vendored Normal file
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@ -0,0 +1,174 @@
# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]
*$py.class
# C extensions
*.so
# Distribution / packaging
.Python
build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
lib/
lib64/
parts/
sdist/
var/
wheels/
share/python-wheels/
*.egg-info/
.installed.cfg
*.egg
MANIFEST
# PyInstaller
# Usually these files are written by a python script from a template
# before PyInstaller builds the exe, so as to inject date/other infos into it.
*.manifest
*.spec
# Installer logs
pip-log.txt
pip-delete-this-directory.txt
# Unit test / coverage reports
htmlcov/
.tox/
.nox/
.coverage
.coverage.*
.cache
nosetests.xml
coverage.xml
*.cover
*.py,cover
.hypothesis/
.pytest_cache/
cover/
# Translations
*.mo
*.pot
# Django stuff:
*.log
local_settings.py
db.sqlite3
db.sqlite3-journal
# Flask stuff:
instance/
.webassets-cache
# Scrapy stuff:
.scrapy
# Sphinx documentation
docs/_build/
# PyBuilder
.pybuilder/
target/
# Jupyter Notebook
.ipynb_checkpoints
# IPython
profile_default/
ipython_config.py
# pyenv
# For a library or package, you might want to ignore these files since the code is
# intended to run in multiple environments; otherwise, check them in:
# .python-version
# pipenv
# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
# However, in case of collaboration, if having platform-specific dependencies or dependencies
# having no cross-platform support, pipenv may install dependencies that don't work, or not
# install all needed dependencies.
#Pipfile.lock
# poetry
# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
# This is especially recommended for binary packages to ensure reproducibility, and is more
# commonly ignored for libraries.
# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
#poetry.lock
# pdm
# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
#pdm.lock
# pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
# in version control.
# https://pdm.fming.dev/#use-with-ide
.pdm.toml
# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
__pypackages__/
# Celery stuff
celerybeat-schedule
celerybeat.pid
# SageMath parsed files
*.sage.py
# Environments
.env
.venv
env/
venv/
ENV/
env.bak/
venv.bak/
# Spyder project settings
.spyderproject
.spyproject
# Rope project settings
.ropeproject
# mkdocs documentation
/site
# mypy
.mypy_cache/
.dmypy.json
dmypy.json
# Pyre type checker
.pyre/
# pytype static type analyzer
.pytype/
# Cython debug symbols
cython_debug/
# PyCharm
# JetBrains specific template is maintained in a separate JetBrains.gitignore that can
# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
# and can be added to the global gitignore or merged into this file. For a more nuclear
# option (not recommended) you can uncomment the following to ignore the entire idea folder.
#.idea/
.ruff_cache/
/docs/src/reference
.DS_Store
# Generated log files
log.jsonl
# Jupyter notebooks executions in docs.
docs/**/jupyter_execute
# Temporary files
tmp_code_*.py

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@ -0,0 +1,61 @@
# AutoGen Core
- [Documentation](http://microsoft.github.io/agnext)
- [Examples](https://github.com/microsoft/agnext/tree/main/python/samples)
## Package layering
- `base` are the the foundational generic interfaces upon which all else is built. This module must not depend on any other module.
- `application` are implementations of core components that are used to compose an application.
- `components` are the building blocks for creating agents.
## Development
**TL;DR**, run all checks with:
```sh
hatch run check
```
### Setup
- [Install `hatch`](https://hatch.pypa.io/1.12/install/).
### Virtual environment
To get a shell with the package available (virtual environment),
in the current directory,
run:
```sh
hatch shell
```
### Common tasks
- Format: `hatch run check`
- Lint: `hatch run lint`
- Test: `hatch run pytest -n auto`
- Mypy: `hatch run mypy`
- Pyright: `hatch run pyright`
- Build docs: `hatch run docs:build`
- Auto rebuild+serve docs: `hatch run docs:serve`
> [!NOTE]
> These don't need to be run in a virtual environment, `hatch` will automatically manage it for you.
#### IntelliJ Support
To enable the `hatch` virtual environment in IntelliJ, follow these steps:
Under the `[tool.hatch.envs.default]` heading in `pyproject.toml`, add this:
```toml
[tool.hatch.envs.default]
type = "virtual"
path = ".venv"
```
Run `hatch shell` in the terminal to create the virtual environment.
Then, in IntelliJ, go to `File` -> `Project Structure` -> `Project Settings` -> `Project` -> `Project SDK` and select the Python interpreter in the `.venv` directory.
Once complete, your IDE should be able to resolve, run, and debug code.

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