.. Licensed to the Apache Software Foundation (ASF) under one or more contributor license agreements. See the NOTICE file distributed with this work for additional information regarding copyright ownership. The ASF licenses this file to you under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at .. http://www.apache.org/licenses/LICENSE-2.0 .. Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. .. contents:: :local: Local Virtual Environment (virtualenv) ====================================== Use the local virtualenv development option in the combination with the `Breeze `_ development environment. This option helps you benefit from the infrastructure provided by your IDE (for example, IntelliJ PyCharm/IntelliJ Idea) and work in the environment where all necessary dependencies and tests are available and set up within Docker images. But you can also use the local virtualenv as a standalone development option if you develop Airflow functionality that does not incur large external dependencies and CI test coverage. These are examples of the development options available with the local virtualenv in your IDE: * local debugging; * Airflow source view; * auto-completion; * documentation support; * unit tests. This document describes minimum requirements and instructions for using a standalone version of the local virtualenv. Prerequisites ============= Required Software Packages -------------------------- Use system-level package managers like yum, apt-get for Linux, or Homebrew for macOS to install required software packages: * Python (One of: 3.6, 3.7, 3.8) * MySQL * libxml Refer to the `Dockerfile.ci `__ for a comprehensive list of required packages. Extra Packages -------------- .. note:: On November 2020, new version of PIP (20.3) has been released with a new, 2020 resolver. This resolver might work with Apache Airflow as of 20.3.3, but it might lead to errors in installation. It might depend on your choice of extras. In order to install Airflow you might need to either downgrade pip to version 20.2.4 ``pip install --upgrade pip==20.2.4`` or, in case you use Pip 20.3, you need to add option ``--use-deprecated legacy-resolver`` to your pip install command. While ``pip 20.3.3`` solved most of the ``teething`` problems of 20.3, this note will remain here until we set ``pip 20.3`` as official version in our CI pipeline where we are testing the installation as well. Due to those constraints, only ``pip`` installation is currently officially supported. While they are some successes with using other tools like `poetry `_ or `pip-tools `_, they do not share the same workflow as ``pip`` - especially when it comes to constraint vs. requirements management. Installing via ``Poetry`` or ``pip-tools`` is not currently supported. If you wish to install airflow using those tools you should use the constraint files and convert them to appropriate format and workflow that your tool requires. You can also install extra packages (like ``[ssh]``, etc) via ``pip install -e [EXTRA1,EXTRA2 ...]``. However, some of them may have additional install and setup requirements for your local system. For example, if you have a trouble installing the mysql client on macOS and get an error as follows: .. code:: text ld: library not found for -lssl you should set LIBRARY\_PATH before running ``pip install``: .. code:: bash export LIBRARY_PATH=$LIBRARY_PATH:/usr/local/opt/openssl/lib/ You are STRONGLY encouraged to also install and use `pre-commit hooks `_ for your local virtualenv development environment. Pre-commit hooks can speed up your development cycle a lot. The full list of extras is available in ``_. Creating a Local virtualenv =========================== To use your IDE for Airflow development and testing, you need to configure a virtual environment. Ideally you should set up virtualenv for all Python versions that Airflow supports (3.6, 3.7, 3.8). To create and initialize the local virtualenv: 1. Create an environment with one of the two options: - Option 1: consider using one of the following utilities to create virtual environments and easily switch between them with the ``workon`` command: - `pyenv `_ - `pyenv-virtualenv `_ - `virtualenvwrapper `_ ``mkvirtualenv --python=python`` - Option 2: create a local virtualenv with Conda - install `miniconda3 `_ .. code-block:: bash conda create -n airflow python=3.6 conda activate airflow 2. Install Python PIP requirements: .. note:: On November 2020, new version of PIP (20.3) has been released with a new, 2020 resolver. This resolver might work with Apache Airflow as of 20.3.3, but it might lead to errors in installation. It might depend on your choice of extras. In order to install Airflow you might need to either downgrade pip to version 20.2.4 ``pip install --upgrade pip==20.2.4`` or, in case you use Pip 20.3, you need to add option ``--use-deprecated legacy-resolver`` to your pip install command. While ``pip 20.3.3`` solved most of the ``teething`` problems of 20.3, this note will remain here until we set ``pip 20.3`` as official version in our CI pipeline where we are testing the installation as well. Due to those constraints, only ``pip`` installation is currently officially supported. While they are some successes with using other tools like `poetry `_ or `pip-tools `_, they do not share the same workflow as ``pip`` - especially when it comes to constraint vs. requirements management. Installing via ``Poetry`` or ``pip-tools`` is not currently supported. If you wish to install airflow using those tools you should use the constraint files and convert them to appropriate format and workflow that your tool requires. .. code-block:: bash pip install --upgrade -e ".[devel,]" # for example: pip install --upgrade -e ".[devel,google,postgres]" In case you have problems with installing airflow because of some requirements are not installable, you can try to install it with the set of working constraints (note that there are different constraint files for different python versions: .. code-block:: bash pip install -e ".[devel,]" \ --constraint "https://raw.githubusercontent.com/apache/airflow/constraints-master/constraints-3.6.txt" This will install Airflow in 'editable' mode - where sources of Airflow are taken directly from the source code rather than moved to the installation directory. During the installation airflow will install - but then automatically remove all provider packages installed from PyPI - instead it will automatically use the provider packages available in your local sources. You can also install Airflow in non-editable mode: .. code-block:: bash pip install ".[devel,]" \ --constraint "https://raw.githubusercontent.com/apache/airflow/constraints-master/constraints-3.6.txt" This will copy the sources to directory where usually python packages are installed. You can see the list of directories via ``python -m site`` command. In this case the providers are installed from PyPI, not from sources, unless you set ``INSTALL_PROVIDERS_FROM_SOURCES`` environment variable to ``true`` .. code-block:: bash INSTALL_PROVIDERS_FROM_SOURCES="true" pip install ".[devel,]" \ --constraint "https://raw.githubusercontent.com/apache/airflow/constraints-master/constraints-3.6.txt" Note: when you first initialize database (the next step), you may encounter some problems. This is because airflow by default will try to load in example dags where some of them requires dependencies ``google`` and ``postgres``. You can solve the problem by: - installing the extras i.e. ``[devel,google,postgres]`` or - disable the example dags with environment variable: ``export AIRFLOW__CORE__LOAD_EXAMPLES=False`` or - simply ignore the error messages and proceed *In addition to above, you may also encounter problems during database migration.* *This is a known issue and please see the progress here:* `AIRFLOW-6265 `_ 3. Create the Airflow sqlite database: .. code-block:: bash # if necessary, start with a clean AIRFLOW_HOME, e.g. # rm -rf ~/airflow airflow db init 4. Select the virtualenv you created as the project's default virtualenv in your IDE. Note that if you have the Breeze development environment installed, the ``breeze`` script can automate initializing the created virtualenv (steps 2 and 3). Activate your virtualenv, e.g. by using ``workon``, and once you are in it, run: .. code-block:: bash ./breeze initialize-local-virtualenv 5. (optionally) run yarn build if you plan to run the webserver .. code-block:: bash cd airflow/www yarn build Developing Providers -------------------- In Airflow 2.0 we introduced split of Apache Airflow into separate packages - there is one main apache-airflow package with core of Airflow and 70+ packages for all providers (external services and software Airflow can communicate with). Developing providers is part of Airflow development, but when you install airflow as editable in your local development environment, the corresponding provider packages will be also installed from PyPI. However, the providers will also be present in your "airflow/providers" folder. This might lead to confusion, which sources of providers are imported during development. It will depend on your environment's PYTHONPATH setting in general. In order to avoid the confusion, you can set ``INSTALL_PROVIDERS_FROM_SOURCES`` environment to ``true`` before running ``pip install`` command: .. code-block:: bash INSTALL_PROVIDERS_FROM_SOURCES="true" pip install -U -e ".[devel,]" \ --constraint "https://raw.githubusercontent.com/apache/airflow/constraints-master/constraints-3.6.txt" This way no providers packages will be installed and they will always be imported from the "airflow/providers" folder. Running Tests ------------- Running tests is described in `TESTING.rst `_. While most of the tests are typical unit tests that do not require external components, there are a number of Integration tests. You can technically use local virtualenv to run those tests, but it requires to set up a number of external components (databases/queues/kubernetes and the like). So, it is much easier to use the `Breeze `__ development environment for Integration tests. Note: Soon we will separate the integration and system tests out via pytest so that you can clearly know which tests are unit tests and can be run in the local virtualenv and which should be run using Breeze. Connecting to database ---------------------- When analyzing the situation, it is helpful to be able to directly query the database. You can do it using the built-in Airflow command: .. code:: bash airflow db shell