From 43d8adc98e0840f412a73bdff27c5a0bbcdeb114 Mon Sep 17 00:00:00 2001 From: Dave Bunten Date: Thu, 22 Feb 2024 11:20:14 -0700 Subject: [PATCH] Initialize repo and add simple memory tests (#1) * add initial scaffold * add pre-commit checks workflow * update linting, add pipeline and runner modules * linting * move dockerfile, add a baseline test, pipeline cfg * rename / typo * readd dockerfile * Update pyproject.toml * update pipeline * move dockerfile again * adjust pipeline for multiple input * linting * move test; add fire; adjust for multiple input * add pandas; add debug_leak test; linting cfg * remove pandas; rename basic tests * add callbacks to gc test * update docs * updates for linting * update to show the stdout from container * change dockerfile path * move to solely list-based execution * avoid the use of runner env group with tests * add poethepoet workflow for tests * remove no longer used union * remove print, adjust language * simplify the prints for async ops * add github actions workflow for running tests * move to main for running tests * add guidance and overview in readme * add python fire mentions * set the platform of the container * update naming and docs * typo * add poethepoet as a runner dependency * bandit skip tests for assert linting * update tests with asserts for garbage * add debug config; add lines for visual clarity * expand readme with some definitions + new sections * add memory allocation definitions * assumption about python memory * add more detail to python garbage collection * reorganizing and adding test module documentation * add extra cli arg capabilities * reorganize for better flow; specify allocators * further details on allocators * add diagrams * additional diagrams, specificity * add blocks content * Update README.md * modifications; adding reference counting guide * add analogy; memray; begin scalene content * add scalene content * remove content and images ported to blog post --- .github/workflows/pre-commit-checks.yaml | 19 + .github/workflows/run-memory-tests.yaml | 27 + .gitignore | 3 + .pre-commit-config.yaml | 67 ++ README.md | 87 ++- poetry.lock | 624 ++++++++++++++++++ pyproject.toml | 46 ++ src/pymaccounter/Dockerfile | 22 + src/pymaccounter/__init__.py | 5 + src/pymaccounter/pipeline.py | 66 ++ src/pymaccounter/runner.py | 27 + src/pymaccounter/tests/test_baseline.py | 5 + .../tests/test_multiply_gc.callbacks.py | 46 ++ .../tests/test_multiply_gc.collect.py | 30 + .../tests/test_multiply_gc.debug_leak.py | 35 + 15 files changed, 1107 insertions(+), 2 deletions(-) create mode 100644 .github/workflows/pre-commit-checks.yaml create mode 100644 .github/workflows/run-memory-tests.yaml create mode 100644 .pre-commit-config.yaml create mode 100644 poetry.lock create mode 100644 pyproject.toml create mode 100644 src/pymaccounter/Dockerfile create mode 100644 src/pymaccounter/__init__.py create mode 100644 src/pymaccounter/pipeline.py create mode 100644 src/pymaccounter/runner.py create mode 100644 src/pymaccounter/tests/test_baseline.py create mode 100644 src/pymaccounter/tests/test_multiply_gc.callbacks.py create mode 100644 src/pymaccounter/tests/test_multiply_gc.collect.py create mode 100644 src/pymaccounter/tests/test_multiply_gc.debug_leak.py diff --git a/.github/workflows/pre-commit-checks.yaml b/.github/workflows/pre-commit-checks.yaml new file mode 100644 index 0000000..ab43ff1 --- /dev/null +++ b/.github/workflows/pre-commit-checks.yaml @@ -0,0 +1,19 @@ +--- +# used for running pre-commit checks +name: pre-commit checks + +on: + push: + branches: [main] + pull_request: + branches: [main] + +jobs: + run_pre_commit_tests: + runs-on: ubuntu-latest + steps: + - uses: actions/checkout@v4 + - uses: actions/setup-python@v5 + with: + python-version: "3.11" + - uses: pre-commit/action@v3.0.0 diff --git a/.github/workflows/run-memory-tests.yaml b/.github/workflows/run-memory-tests.yaml new file mode 100644 index 0000000..deea4cf --- /dev/null +++ b/.github/workflows/run-memory-tests.yaml @@ -0,0 +1,27 @@ +--- +# used for running memory checks through GitHub Actions for open observability +name: run memory tests + +on: + push: + branches: [main] + pull_request: + branches: [main] + +jobs: + run_memory_tests: + runs-on: ubuntu-latest + steps: + - uses: actions/checkout@v4 + - uses: actions/setup-python@v5 + with: + python-version: "3.11" + - name: Setup poetry and poethepoet + run: | + python -m pip install poetry + - name: Install poetry runner env + run: | + poetry install --with runner -v --no-interaction + - name: Run memory tests through Dagger pipeline + run: | + poetry run poe run_all_tests diff --git a/.gitignore b/.gitignore index 68bc17f..281bd61 100644 --- a/.gitignore +++ b/.gitignore @@ -158,3 +158,6 @@ cython_debug/ # 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/ + +# customizations +.python-version diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml new file mode 100644 index 0000000..f49eceb --- /dev/null +++ b/.pre-commit-config.yaml @@ -0,0 +1,67 @@ +# See https://pre-commit.com for more information +# See https://pre-commit.com/hooks.html for more hooks +default_language_version: + python: python3.11 +repos: + - repo: https://github.com/pre-commit/pre-commit-hooks + rev: v4.5.0 + hooks: + - id: trailing-whitespace + - id: end-of-file-fixer + - id: check-added-large-files + - repo: https://github.com/codespell-project/codespell + rev: v2.2.6 + hooks: + - id: codespell + - repo: https://github.com/executablebooks/mdformat + rev: 0.7.17 + hooks: + - id: mdformat + - repo: https://github.com/hadolint/hadolint + rev: v2.12.1-beta + hooks: + - id: hadolint-docker + - repo: https://github.com/rhysd/actionlint + rev: v1.6.26 + hooks: + - id: actionlint-docker + - repo: https://github.com/adrienverge/yamllint + rev: v1.33.0 + hooks: + - id: yamllint + - repo: https://github.com/psf/black + rev: 23.12.1 + hooks: + - id: black + - repo: https://github.com/PyCQA/bandit + rev: 1.7.6 + hooks: + - id: bandit + args: ["-c", "pyproject.toml"] + additional_dependencies: ["bandit[toml]"] + - repo: https://github.com/PyCQA/isort + rev: 5.13.2 + hooks: + - id: isort + - repo: https://github.com/jendrikseipp/vulture + rev: v2.10 + hooks: + - id: vulture + - repo: https://github.com/pre-commit/mirrors-mypy + rev: v1.8.0 + hooks: + - id: mypy + - repo: https://github.com/PyCQA/pylint + rev: v3.0.3 + hooks: + - id: pylint + name: pylint + entry: pylint + language: python + types: [python] + # note: we install additional dependencies for + # pylint due to it's dynamic analysis capabilities + # and the way pre-commit references virtual environments. + additional_dependencies: + - "dagger-io" + - "fire" diff --git a/README.md b/README.md index 9b40998..7d44a16 100644 --- a/README.md +++ b/README.md @@ -1,2 +1,85 @@ -# demo-python-memory-reference-accounting -Demonstrating Python memory allocator reference counting and debug +# Demonstrating Python Memory Allocator Reference Counting (and Related) + +Demonstrating Python memory allocator reference counting and debug. +The goal of this repository is to help demonstrate Python memory allocation using source controlled code. +Work for this project was originally inspired by [cytomining/CytoTable#75](https://github.com/cytomining/CytoTable/issues/75) which explores related topics. + +## Development + +The following are suggested steps to get started with development for this project. + +1. (Suggested) Install Python from [pyenv](https://github.com/pyenv/pyenv?tab=readme-ov-file#installation) (or another way). +1. [Install Poetry](https://python-poetry.org/docs/#installation) +1. [Install Docker Desktop](https://www.docker.com/products/docker-desktop/) +1. Run Poe the Poet workflow(s): e.g. `poetry run poe run_all_tests` + _(Poe the Poet is installed as a Poetry env dependency for the `runner` group)_ + +## Project outline + +```mermaid +--- +title: Project Overview +--- +flowchart LR + +pyproject["pyproject.toml"] +poeworkflow["poethepoet\nworkflows"] +dockerfile["Dockerfile"] +subgraph test_container["test container"] + subgraph tests + test_env["Python environment\n(for tests)"] + test_modules["Test module(s)"] + end +end +subgraph runner + runner_env["Python environment\n(for runner)"] + runner_cli["Runner CLI\n(Python Fire)"] + pipeline["Container pipeline\n(through Dagger)"] +end + + +pyproject --> |defines| test_env +pyproject --> |defines| runner_env + +test_env --> |runs| test_modules +test_modules -.-> |display\nresults through| pipeline +runner_env --> |enables| runner_cli +runner_cli --> |runs| pipeline + +dockerfile -.-> |defines\ncontainer for| pipeline + +pipeline --> |executes| test_container + +pyproject --> poeworkflow +poeworkflow -.-> |declarative\nworkflows for| runner +``` + +See above for a quick overview of project components and their relationship. +[Poetry](https://python-poetry.org/docs/) is used to define Python environment dependencies within [dependency groups](https://python-poetry.org/docs/master/managing-dependencies/#dependency-groups) in a `pyproject.toml` file. +Declarative [Poe the Poet tasks](https://poethepoet.natn.io/index.html) may also be found in the same `pyproject.toml` file to help define reproducible workflows. +A "runner" command-line interface (CLI) is provided through [Python Fire](https://github.com/google/python-fire) to help enable the use of the container-based pipelines. +Container-based pipelines are provided through [Dagger's Python SDK](https://docs.dagger.io/sdk/python/) to help isolate potential OS-specific distinctions for memory allocation work in Python. +Testing workflows are designed to run "locally" within a developer's environment (for example, leveraging [pyenv](https://github.com/pyenv/pyenv), [poetry](https://python-poetry.org/docs/), and [Docker Desktop](https://www.docker.com/products/docker-desktop/)) or within [GitHub Actions images](https://github.com/actions/runner-images) (`dagger-io` installs the necessary dependencies). + +## Test Modules + +This project focuses on leveraging Python memory observability tools to illustrate what happens as code is executed. +See the `src/pymaccounter/tests` folder for a full list of test modules. +Each test module includes a description of what it tests and expects in a [docstring](https://docs.python.org/3/glossary.html#term-docstring) near the top of the file. + +### Running Test Modules + +Test modules may be executed individually or in groups. +Test modules are provided in a list to be run by containerized pipelines. +Each test provided in this way is run in an isolated container instance. + +In addition to test module specification, a test module base directory and debug mode may also be specified. +The test module base directory is where the container pipeline will look for test modules listed by name in the list. +Debug mode may be used to view container pipeline debug log messages. + +See the following examples for more details on the suggested way to run tests through this project. + +- Individual test: `poetry run python src/pymaccounter/runner.py '["test_baseline.py"]'` +- Multiple tests: `poetry run python src/pymaccounter/runner.py '["test_baseline.py", "test_multiply_gc.collect.py"]'` +- Individual test with debug mode: `poetry run python src/pymaccounter/runner.py '["test_baseline.py"]' --debug True` +- Individual test with non-default base test directory specification: `poetry run python src/pymaccounter/runner.py '["test_baseline.py"]' --test_dir 'src/another_test_dir'` diff --git a/poetry.lock b/poetry.lock new file mode 100644 index 0000000..1963583 --- /dev/null +++ b/poetry.lock @@ -0,0 +1,624 @@ +# This file is automatically @generated by 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+version = "0.0.1" +description = "Demonstrating Python memory allocator reference counting and debug." +authors = ["d33bs "] +license = "BSD-3-Clause" +readme = "README.md" +packages = [{include = "pymaccounter", from="src"}] + +[tool.poetry.dependencies] +python = ">=3.10,<4.0" + +[tool.poetry.group.runner.dependencies] +dagger-io = "^0.9.5" +anyio = "^4.2.0" +fire = "^0.5.0" +poethepoet = "^0.24.4" + +# define poethepoet convenience access +# to test runner workflow definition +[tool.poe.tasks.run_all_tests] +cmd = """ +python src/pymaccounter/runner.py \ +'["test_baseline.py", \ +"test_multiply_gc.collect.py", \ +"test_multiply_gc.debug_leak.py", \ +"test_multiply_gc.callbacks.py"]' +""" + +[build-system] +requires = ["poetry-core"] +build-backend = "poetry.core.masonry.api" + +[tool.vulture] +min_confidence = 80 +paths = ["src"] +sort_by_size = true +verbose = true + +[tool.isort] +profile = "black" + +[tool.bandit.assert_used] +skips = ['*_test.py', '*test_*.py'] + +[tool.setuptools_scm] diff --git a/src/pymaccounter/Dockerfile b/src/pymaccounter/Dockerfile new file mode 100644 index 0000000..3821e73 --- /dev/null +++ b/src/pymaccounter/Dockerfile @@ -0,0 +1,22 @@ +# base image for running tests +FROM python:3.11 + +# set the workdir to /app +WORKDIR /app + +# copy pyproject and poetry lockfile for stepped installation +COPY pyproject.toml poetry.lock ./ + +# install poetry and poetry dynamic versioning +# hadolint ignore=DL3013 +RUN pip install --no-cache-dir poetry + +# copy the rest of the repository +COPY . . + +# install env from poetry +RUN poetry install --without runner -v --no-interaction + +# set an alias for running python through the poetry env +# hadolint ignore=DL3059 +RUN echo 'alias python="poetry run python"' >> ~/.bashrc diff --git a/src/pymaccounter/__init__.py b/src/pymaccounter/__init__.py new file mode 100644 index 0000000..fd3f30d --- /dev/null +++ b/src/pymaccounter/__init__.py @@ -0,0 +1,5 @@ +""" +__init__.py for pymaccounter +""" + +from .runner import pipeline_run_tests diff --git a/src/pymaccounter/pipeline.py b/src/pymaccounter/pipeline.py new file mode 100644 index 0000000..d637072 --- /dev/null +++ b/src/pymaccounter/pipeline.py @@ -0,0 +1,66 @@ +""" +Dagger pipelines using the Python SDK for pymaccounter +""" + +# referenced with modifications from: +# https://docs.dagger.io/sdk/python/628797/get-started + +import shutil +import sys +from typing import List + +import anyio +import dagger + + +async def pipeline_run_tests( + tests_to_run: List[str], test_dir: str, debug: bool +) -> None: + """ + Dagger pipeline for running reproducible tests in python. + """ + + # create dagger conf based on debug arg + dagger_conf = dagger.Config(log_output=sys.stderr) if debug else dagger.Config() + + async with dagger.Connection(dagger_conf) as client: + # get reference to the local project + dockerfile_dir = client.host().directory(".") + + async def run_test(test_to_run: str, test_dir: str): + """ + Run a test in a container via dagger + """ + full_test_to_run = f"{test_dir}/{test_to_run}" + + # gather the terminal width for result display purposes + terminal_width, _ = shutil.get_terminal_size() + + # build a python container based on Dockerfile and run test + python = ( + client.container( + # explicitly set the container to be a certain platform type + platform=dagger.Platform("linux/amd64") + ).build( + context=dockerfile_dir, + # uses a dockerfile to create the container + dockerfile="./src/pymaccounter/Dockerfile", + ) + # run the python test through a poetry environment + .with_exec(["poetry", "run", "python", full_test_to_run]) + ) + + # execute and show the results of the last executed command + results = await python.stdout() + + # surround the output with terminal-width lines for reading clarity + print("_" * terminal_width) + print(f"Test results for {full_test_to_run}:\n{results}") + + # when this block exits, all tasks will be awaited (i.e., executed) + async with anyio.create_task_group() as tg: + # run each test provided individually + for test_to_run in tests_to_run: + tg.start_soon(run_test, test_to_run, test_dir) + + print("All tests have finished") diff --git a/src/pymaccounter/runner.py b/src/pymaccounter/runner.py new file mode 100644 index 0000000..e4d75b9 --- /dev/null +++ b/src/pymaccounter/runner.py @@ -0,0 +1,27 @@ +""" +Defines runner convenience functions and interface for pymaccounter. +""" + +from typing import List + +import anyio +import fire + +from pymaccounter.pipeline import pipeline_run_tests + + +def run_tests( + tests_to_run: List[str], + test_dir: str = "src/pymaccounter/tests", + debug: bool = False, +) -> None: + """ + Helper function to run dagger testing pipeline + """ + + anyio.run(pipeline_run_tests, tests_to_run, test_dir, debug) + + +if __name__ == "__main__": + # creates a CLI through Python Fire for run_test + fire.Fire(run_tests) diff --git a/src/pymaccounter/tests/test_baseline.py b/src/pymaccounter/tests/test_baseline.py new file mode 100644 index 0000000..1e8d424 --- /dev/null +++ b/src/pymaccounter/tests/test_baseline.py @@ -0,0 +1,5 @@ +""" +A baseline test for Python memory +""" + +print("Hello! This is a quick test of a print statement!") diff --git a/src/pymaccounter/tests/test_multiply_gc.callbacks.py b/src/pymaccounter/tests/test_multiply_gc.callbacks.py new file mode 100644 index 0000000..8a50121 --- /dev/null +++ b/src/pymaccounter/tests/test_multiply_gc.callbacks.py @@ -0,0 +1,46 @@ +""" +Module for testing Python garbage collection with customized callbacks. +""" +import gc + +# pylint: disable=R0801 + + +def info_callback(phase, info): + """ + Leverage gc.callbacks to show collection start and stop along with info + see: https://docs.python.org/3/library/gc.html#gc.callbacks + """ + if phase == "start": + print("Garbage collection started. Info: ", info, sep="\n", end="\n\n") + + elif phase == "stop": + print("Garbage collection stopped. Info: ", info, sep="\n", end="\n\n") + + +# append the callback for use by gc +gc.callbacks.append(info_callback) + + +def multiply(a, b): + """ + Basic python function + """ + return a * b + + +print(f"Function output: {multiply(5, 9)}") + +# collect garbage +# see here for more info: +# https://docs.python.org/3/library/gc.html#gc.collect +COLLECTED = gc.collect() + +# print the unreachable objects +print(COLLECTED) +assert COLLECTED == 0 + +# print the len of gc garbage to reference unreachable objects +GC_LEN = len(gc.garbage) +print(GC_LEN) +assert GC_LEN == 0 diff --git a/src/pymaccounter/tests/test_multiply_gc.collect.py b/src/pymaccounter/tests/test_multiply_gc.collect.py new file mode 100644 index 0000000..dd8670e --- /dev/null +++ b/src/pymaccounter/tests/test_multiply_gc.collect.py @@ -0,0 +1,30 @@ +""" +Module for testing Python garbage collection. +""" +import gc + +# pylint: disable=R0801 + + +def multiply(a, b): + """ + Basic python function + """ + return a * b + + +print(f"Function output: {multiply(5, 9)}") + +# collect garbage +# see here for more info: +# https://docs.python.org/3/library/gc.html#gc.collect +COLLECTED = gc.collect() + +# print the unreachable objects +print(COLLECTED) +assert COLLECTED == 0 + +# print the len of gc garbage to reference unreachable objects +GC_LEN = len(gc.garbage) +print(GC_LEN) +assert GC_LEN == 0 diff --git a/src/pymaccounter/tests/test_multiply_gc.debug_leak.py b/src/pymaccounter/tests/test_multiply_gc.debug_leak.py new file mode 100644 index 0000000..716fd92 --- /dev/null +++ b/src/pymaccounter/tests/test_multiply_gc.debug_leak.py @@ -0,0 +1,35 @@ +""" +Module for testing Python garbage collection with DEBUG_LEAK +""" +import gc + +# pylint: disable=R0801 + +# set gc to debug leak mode +# see here for more info: +# https://docs.python.org/3/library/gc.html#gc.DEBUG_LEAK +gc.set_debug(gc.DEBUG_LEAK) + + +def multiply(a, b): + """ + Basic python function + """ + return a * b + + +print(f"Function output: {multiply(5, 9)}") + +# collect garbage +# see here for more info: +# https://docs.python.org/3/library/gc.html#gc.collect +COLLECTED = gc.collect() + +# print the unreachable objects +print(COLLECTED) +assert COLLECTED == 0 + +# print the len of gc garbage to reference unreachable objects +GC_LEN = len(gc.garbage) +print(GC_LEN) +assert GC_LEN == 0