Skip to content

Latest commit

 

History

History
261 lines (207 loc) · 10.2 KB

README.md

File metadata and controls

261 lines (207 loc) · 10.2 KB

Development guide for aws-crt-python

This guide is for contributors to aws-crt-python's source code. Familiarity (but not necessarily expertise) with Python and C is assumed. This document covers basic setup and workflow.

For more advanced topics, see writing-code.md.

Table of Contents

Git

Clone to a development folder:

$ git clone git@github.com:awslabs/aws-crt-python.git
$ cd aws-crt-python
$ git submodule update --init

Note that you MUST manually update submodules any time you pull latest, or change branches:

$ git submodule update

CMake

CMake 3 is required to compile the C submodules. To install:

  • On Mac, using homebrew:
    $ brew install cmake
  • On Linux: use your system's package manager (apt, yum, etc).
  • On Windows: download and install

Install Python Dev Libraries and Header files

Install the libraries and headers necessary for Python development. These might already be installed. If you're not sure just skip ahead, and come back to this step if you get build errors like: Python.h: No such file or directory

If you installed Python via python.org, then you already have these files.

If you installed Python via a package manager, you might need the "dev" package. i.e. sudo apt install python3-dev or sudo yum install python3-devel

Set up a Virtual Environment

Set up a virtual environment for development. This guide suggests aws-crt-python/.venv/ as a default location. Create a virtual environment like so:

$ python3 -m venv .venv/

To activate the virtual environment in your current terminal:

  • On Mac or Linux:
    $ source .venv/bin/activate
  • In Windows PowerShell:
    > .venv\Scripts\Activate.ps1
  • In Windows Command Prompt:
    > .venv\Scripts\Activate.bat

Your terminal looks something like this when the virtual environment is active:

(.venv) $

Now any time you type python3 or pip or even python, you are using the one from your virtual environment. To stop using the virtual environment, run deactivate.

Install

Ensure pip (Python's package manager) is installed and up to date:

(.venv) $ python3 -m ensurepip --upgrade

Install dev dependencies:

(.venv) $ python3 -m pip install --upgrade --requirement requirements-dev.txt

Install aws-crt-python (helper script python3 scripts/install-dev.py does this):

(.venv) $ python3 -m pip install --verbose --editable .

You must re-run this command any time the C source code changes. But you don't need to re-run it if .py files change (thanks to the --editable aka "develop mode" flag)

Note that this takes about twice as long on Mac, which compiles C for both x86_64 and arm64. (TODO: in develop mode, for productivity's sake, only compile C for one architecture, and ignore resulting warnings from the linker)

Run Tests

To run all tests:

(.venv) $ python3 -m unittest discover --failfast --verbose

discover automatically finds all tests to run

--failfast stops after one failed test. This is useful because a failed test is likely to leak memory, which will cause the rest of the tests to fail as well.

--verbose makes it easier to see which tests are skipped.

To run specific tests, specify a path. For example:

(.venv) $ python3 -m unittest --failfast --verbose test.test_http_client.TestClient.test_connect_http

More path examples:

  • test - everything under test/ folder
  • test.test_http_client - every test in test_http_client.py
  • test.test_http_client.TestClient - every test in TestClient class
  • test.test_http_client.TestClient.test_connect_http - A single test

When creating new tests, note that the names of test files and test functions must be prefixed with test_.

Environment Variables for Tests

Many tests require an AWS account. These tests are skipped unless specific environment variables are set:

  • MQTT Tests
    • AWS_TEST_IOT_MQTT_ENDPOINT - AWS IoT Core endpoint. This is specific to your account.
    • AWS_TEST_TLS_CERT_PATH - file path to the certificate used to initialize the TLS context of the MQTT connection
    • AWS_TEST_TLS_KEY_PATH - file path to the private key used to initialize the TLS context of the MQTT connection
    • AWS_TEST_TLS_ROOT_CERT_PATH - file path to the root CA used to initialize the TLS context of the MQTT connection
  • PKCS#11 Tests
    • AWS_TEST_PKCS11_LIB - path to PKCS#11 library
    • AWS_TEST_PKCS11_PIN - user PIN for logging into PKCS#11 token
    • AWS_TEST_PKCS11_TOKEN_LABEL - label of PKCS#11 token
    • AWS_TEST_PKCS11_KEY_LABEL - label of private key on PKCS#11 token, which must correspond to the cert at AWS_TEST_TLS_CERT_PATH.
  • Proxy Tests
    • TLS-protected connections to the proxy
      • AWS_TEST_HTTPS_PROXY_HOST - proxy host address
      • AWS_TEST_HTTPS_PROXY_PORT - proxy port
    • Open connections to the proxy
      • AWS_TEST_HTTP_PROXY_HOST - proxy host address
      • AWS_TEST_HTTP_PROXY_PORT - port port
    • Open connections to the proxy, with basic authentication
      • AWS_TEST_HTTP_PROXY_BASIC_HOST - proxy host address
      • AWS_TEST_HTTP_PROXY_BASIC_PORT - proxy port
      • AWS_TEST_BASIC_AUTH_USERNAME - username
      • AWS_TEST_BASIC_AUTH_PASSWORD - password
  • S3 Tests
    • AWS_TEST_S3 - set to any value to enable S3 tests.
      • Unfortunately, at this time these tests can only be run by members of the Common Runtime team, due to hardcoded paths.
      • TODO: alter tests so anyone can run them.

Code Formatting

We use automatic code formatters in this project and pull requests will fail unless the code is formatted correctly.

autopep8 is used for python code. You installed this earlier via requirements-dev.txt.

For C code clang-format is used. You need to install an exact version (see CLANG_FORMAT_VERSION=... line at the top of format-check.py) via pipx. Doing this on MacOS looks like:

(.venv) $ brew install pipx
(.venv) $ pipx ensurepath
(.venv) $ pipx install clang-format==<CLANG_FORMAT_VERSION from format-check.py>

Use helper scripts to automatically format your code (or configure your IDE to do it):

# format all code
(.venv) $ python3 scripts/format-all.py

# just format Python files
(.venv) $ python3 scripts/format-python.py

# just format C files
(.venv) $ python3 format-check.py -i

Using an IDE

Using Visual Studio Code (VSCode)

  1. Install the following extensions:

    • Python (Microsoft)
    • C/C++ (Microsoft)
    • Code Spell Checker (Street Side Software) - optional
  2. Open the aws-crt-python/ folder.

  3. Use your virtual environment: cmd+shift+p -> Python: Select Interpreter

  4. Edit workspace settings: cmd+shift+P -> Preferences: Open Workspace Settings

    • Python > Terminal: Activate Env In Current Terminal - ("python.terminal.activateEnvInCurrentTerminal" in json view)
      • Set to true, so the VSCode terminal will always use your virtual environment.
      • But your current terminal isn't using it. Kill the current terminal or reload the window to resolve this.
    • C_Cpp > Default: Include Path - ("C_Cpp.default.includePath" in json view)
      • Add item - set path to Python's C headers. For example: /Library/Frameworks/Python.framework/Versions/3.10/include/python3.10
      • This is optional, it helps IntelliSense when viewing C files.
    • Files: Insert Final Newline - ("files.insertFinalNewline" in json view)
      • Set to true. It's just good practice.
    • Files: Trim Trailing Whitespace - ("files.trimTrailingWhitespace" in json view)
      • Set to true. It's just good practice.
  5. Add helpful tasks you can run via cmd+shift+P -> Tasks: Run Task

    • Copy this file to aws-crt-python/.vscode/tasks.json for the following tasks:
      • install - pip install in develop mode. cmd+shift+B is a special shortcut for this task
      • format - format all code files

Debugging Python with VSCode

The VSCode Testing tab (lab flask/beaker icon) helps run and debug Python tests. From this tab, click Configure Python Tests:

  • Select a test framework/tool to enable - unittest
  • Select the directory containing the tests - test
  • Select the pattern to identify test files - test_*.py

Run tests by mousing over the name and clicking the PLAY button, or use the DEBUG button to hit breakpoints in Python code, and see output in the DEBUG CONSOLE.

Note that many tests are skipped unless specific environment variables are set. You can set these in a aws-crt-python/.env file (don't worry it's ignored by git. For example:

AWS_TEST_IOT_MQTT_ENDPOINT=xxxxxxxxx-ats.iot.xxxxx.amazonaws.com
AWS_TEST_TLS_CERT_PATH=/Users/janedoe/iot/xxxxx-certificate.pem.crt
AWS_TEST_TLS_KEY_PATH=/Users/janedoe/iot/xxxxx-private.pem.key

Debugging C with VSCode

Unfortunately, we haven't figured out how to do interactive debugging of the C code. Python ultimately builds and links the C module together, and it seems to always strip out the debug info. Please update this guide if you know how. For now, printf() is your best option.

If you suspect the bug is in the external C code (i.e. aws-c-http) and need to do interactive debugging, your best bet is cloning that external project, build it in Debug, and step through its tests.

TODO

  • more about git submodules (latest-submodules.py and working from branches)
  • more about logging. consider easy way to turn on logging in tests