diff --git a/.github/CODESTYLE.md b/.github/CODESTYLE.md index 0c72197..e76d20b 100644 --- a/.github/CODESTYLE.md +++ b/.github/CODESTYLE.md @@ -16,7 +16,7 @@ follow throughout the development of your contribution. as specified in [PEP 287](https://peps.python.org/pep-0287/) - Private attributes are to be prefixed with an underscore - Use of [typing](https://docs.python.org/3/library/typing.html) type hints -- All files are to use 2 space indenting +- All files are to use 4 space indenting ```python class ExampleClass: @@ -31,28 +31,28 @@ class ExampleClass: public_attribute : int # type hint for integer is defined here def __init__( - self, - public_attribute: int # type hint for parameters + self, + public_attribute: int # type hint for parameters ) -> None: # the expected return value of method - """ - Initializes a ExampleClass + """ + Initializes a ExampleClass - Parameters - ---------- - :param public_attribute: example attribute - """ - self.public_attribute = public_attribute - self.private_attribute = square(public_attribute) + Parameters + ---------- + :param public_attribute: example attribute + """ + self.public_attribute = public_attribute + self.private_attribute = square(public_attribute) def square(self, value: int) -> int: - """ - Example method that square roots a value - - Parameters - ---------- - :param value: value that you want squared - """ - return value**2 + """ + Example method that square roots a value + + Parameters + ---------- + :param value: value that you want squared + """ + return value**2 ``` ## Markdown Guidelines @@ -68,28 +68,27 @@ Currently, documentation for this project resides in markdown files. ```markdown + # Section + Lorem ipsum dolor sit amet, consectetur adipiscing elit, -sed do eiusmod tempor incididunt ut labore et dolore -magna aliqua. Ut enim ad minim veniam, quis nostrud -exercitation ullamco laboris nisi ut aliquip ex ea -commodo consequat. Duis aute irure dolor in -reprehenderit in voluptate velit esse cillum dolore eu -fugiat nulla pariatur. Excepteur sint occaecat cupidatat -non proident, sunt in culpa qui officia deserunt mollit +sed do eiusmod tempor incididunt ut labore et dolore +magna aliqua. Ut enim ad minim veniam, quis nostrud +exercitation ullamco laboris nisi ut aliquip ex ea +commodo consequat. Duis aute irure dolor in +reprehenderit in voluptate velit esse cillum dolore eu +fugiat nulla pariatur. Excepteur sint occaecat cupidatat +non proident, sunt in culpa qui officia deserunt mollit anim id est laborum. found [Lorem Ipsum Generator] - - # Section 2 + - - [Lorem Ipsum Generator]: https://loremipsum.io/generator/ ``` diff --git a/.github/CODE_OF_CONDUCT.md b/.github/CODE_OF_CONDUCT.md index 0b3ce2d..8aa7df7 100644 --- a/.github/CODE_OF_CONDUCT.md +++ b/.github/CODE_OF_CONDUCT.md @@ -17,23 +17,23 @@ diverse, inclusive, and healthy community. Examples of behavior that contributes to a positive environment for our community include: -* Demonstrating empathy and kindness toward other people -* Being respectful of differing opinions, viewpoints, and experiences -* Giving and gracefully accepting constructive feedback -* Accepting responsibility and apologizing to those affected by our mistakes, +- Demonstrating empathy and kindness toward other people +- Being respectful of differing opinions, viewpoints, and experiences +- Giving and gracefully accepting constructive feedback +- Accepting responsibility and apologizing to those affected by our mistakes, and learning from the experience -* Focusing on what is best not just for us as individuals, but for the +- Focusing on what is best not just for us as individuals, but for the overall community Examples of unacceptable behavior include: -* The use of sexualized language or imagery, and sexual attention or +- The use of sexualized language or imagery, and sexual attention or advances of any kind -* Trolling, insulting or derogatory comments, and personal or political attacks -* Public or private harassment -* Publishing others' private information, such as a physical or email +- Trolling, insulting or derogatory comments, and personal or political attacks +- Public or private harassment +- Publishing others' private information, such as a physical or email address, without their explicit permission -* Other conduct which could reasonably be considered inappropriate in a +- Other conduct which could reasonably be considered inappropriate in a professional setting ## Enforcement Responsibilities @@ -105,7 +105,7 @@ Violating these terms may lead to a permanent ban. ### 4. Permanent Ban **Community Impact**: Demonstrating a pattern of violation of community -standards, including sustained inappropriate behavior, harassment of an +standards, including sustained inappropriate behavior, harassment of an individual, or aggression toward or disparagement of classes of individuals. **Consequence**: A permanent ban from any sort of public interaction within @@ -124,4 +124,4 @@ enforcement ladder](https://github.com/mozilla/diversity). For answers to common questions about this code of conduct, see the FAQ at https://www.contributor-covenant.org/faq. Translations are available at -https://www.contributor-covenant.org/translations. \ No newline at end of file +https://www.contributor-covenant.org/translations. diff --git a/.github/ISSUE_TEMPLATE/1-bug-report.md b/.github/ISSUE_TEMPLATE/1-bug-report.md index fa7f2bc..4aa4ea2 100644 --- a/.github/ISSUE_TEMPLATE/1-bug-report.md +++ b/.github/ISSUE_TEMPLATE/1-bug-report.md @@ -4,16 +4,15 @@ about: "Report an issue to help the project improve." title: "[Bug] " labels: "Type: Bug" assignees: caffeine-addictt - --- # Bug report + Your issue may already be reported! Please check out our [active issues](https://github.com/python-thread/thread/issues) before creating one. - - ## Expected Behavior + - - ## Current Behavior + - - ## Is this a regression? + - - ## Possible Solution + - - ## Steps to Reproduce (for bugs) + + 1. 2. 3. 4. - - ## Context + - - ## Your Environment + -* Version used: -* Python version: -* Link to your project: -* Operating System and version (desktop or mobile): \ No newline at end of file + +- Version used: +- Python version: +- Link to your project: +- Operating System and version (desktop or mobile): diff --git a/.github/ISSUE_TEMPLATE/2-failing-test.md b/.github/ISSUE_TEMPLATE/2-failing-test.md index 057e544..777e932 100644 --- a/.github/ISSUE_TEMPLATE/2-failing-test.md +++ b/.github/ISSUE_TEMPLATE/2-failing-test.md @@ -4,37 +4,33 @@ about: "Report failing tests or CI jobs." title: "[Test] " labels: "Type: Test" assignees: caffeine-addictt - --- # Failing Test + Your issue may already be reported! Please check out our [active issues](https://github.com/python-thread/thread/issues) before creating one. - - ## Which Jobs/Tests are Failing? -* - +- ## Reason for Failure + - - ## Media Prove + - - ## Additional Context + diff --git a/.github/ISSUE_TEMPLATE/3-docs-bug.md b/.github/ISSUE_TEMPLATE/3-docs-bug.md index e90624e..3aa0b7f 100644 --- a/.github/ISSUE_TEMPLATE/3-docs-bug.md +++ b/.github/ISSUE_TEMPLATE/3-docs-bug.md @@ -4,23 +4,21 @@ about: "Report an issue in the project's documentation or README.md file." title: "[Docs] " labels: "Documentation" assignees: caffeine-addictt - --- # Documentation Issue Report + Your issue may already be reported! Please check out our [active issues](https://github.com/python-thread/thread/issues) before creating one. - - ## Describe the Bug + - - ## Steps to Reproduce + diff --git a/.github/ISSUE_TEMPLATE/4-feature-request.md b/.github/ISSUE_TEMPLATE/4-feature-request.md index 4011715..71a32ef 100644 --- a/.github/ISSUE_TEMPLATE/4-feature-request.md +++ b/.github/ISSUE_TEMPLATE/4-feature-request.md @@ -4,16 +4,15 @@ about: "Suggest an idea or possible new feature for this project." title: "[Feature] " labels: "Type: Feature" assignees: caffeine-addictt - --- # Feature Request + Your issue may already be reported! Please check out our [active issues](https://github.com/python-thread/thread/issues) before creating one. - - ## Is Your Feature Request Related to an Issue? + - - ## Describe the Solution You'd Like + - - ## Describe Alternatives You've Considered + - - ## Additional Context + diff --git a/.github/ISSUE_TEMPLATE/5-enhancement-request.md b/.github/ISSUE_TEMPLATE/5-enhancement-request.md index 355da85..6be1b74 100644 --- a/.github/ISSUE_TEMPLATE/5-enhancement-request.md +++ b/.github/ISSUE_TEMPLATE/5-enhancement-request.md @@ -4,16 +4,15 @@ about: "Suggest an enhancement for this project. Improve an existing feature" title: "[Enhancement] " labels: "Type: Enhancement" assignees: caffeine-addictt - --- # Enhancement Request + Your issue may already be reported! Please check out our [active issues](https://github.com/python-thread/thread/issues) before creating one. - - ## Is Your Enhancement Request Related to an Issue? + - - ## Describe the Solution You'd Like + - - ## Describe Alternatives You've Considered + - - ## Additional Context + diff --git a/.github/ISSUE_TEMPLATE/6-security-report.md b/.github/ISSUE_TEMPLATE/6-security-report.md index fb0ab35..1a81a7b 100644 --- a/.github/ISSUE_TEMPLATE/6-security-report.md +++ b/.github/ISSUE_TEMPLATE/6-security-report.md @@ -4,7 +4,6 @@ about: "Report an issue to help the project improve." title: "[Security] " labels: ["Type: Security", "help wanted"] assignees: caffeine-addictt - --- # Security Report + Your issue may already be reported! Please check out our [active issues](https://github.com/python-thread/thread/issues) before creating one. - - ## Describe the Security Issue + - - ## Steps to Reproduce + - - ## Expected Behavior + - - ## Media Prove + - - ## Additional Context + - - ### Your Environment + -* Version used: -* Python version: -* Link to your project: -* Operating System and version (desktop or mobile): + +- Version used: +- Python version: +- Link to your project: +- Operating System and version (desktop or mobile): diff --git a/.github/ISSUE_TEMPLATE/7-question-support.md b/.github/ISSUE_TEMPLATE/7-question-support.md index 206de90..99eb0b3 100644 --- a/.github/ISSUE_TEMPLATE/7-question-support.md +++ b/.github/ISSUE_TEMPLATE/7-question-support.md @@ -4,17 +4,14 @@ about: "Questions and requests for support." title: "[Question] " labels: ["Type: Question", "help wanted"] assignees: caffeine-addictt - --- # Question or Support Request - - - ## Describe your question or ask for support + -* +- diff --git a/.github/PULL_REQUEST_TEMPLATE.md b/.github/PULL_REQUEST_TEMPLATE.md index a3e0bb8..ea9bfee 100644 --- a/.github/PULL_REQUEST_TEMPLATE.md +++ b/.github/PULL_REQUEST_TEMPLATE.md @@ -22,13 +22,8 @@ - [ ] Breaking Change - [ ] Documentation Update - - ## Description - - - ## Related Tickets & Documents + - [ ] My code follows the code style of this project. - [ ] My change requires a change to the documentation. - [ ] I have updated the documentation accordingly. diff --git a/.github/dependabot.yml b/.github/dependabot.yml index a09f33c..fb7295c 100644 --- a/.github/dependabot.yml +++ b/.github/dependabot.yml @@ -15,7 +15,7 @@ updates: schedule: interval: "weekly" - # - package-ecosystem: "npm" # See documentation for possible values - # directory: "/" # Location of package manifests - # schedule: - # interval: "weekly" + - package-ecosystem: "npm" + directory: "/" + schedule: + interval: "weekly" diff --git a/.github/workflows/linter.yml b/.github/workflows/linter.yml index 044a0b5..0b22ac6 100644 --- a/.github/workflows/linter.yml +++ b/.github/workflows/linter.yml @@ -6,7 +6,8 @@ env: PIP_DISABLE_PIP_VERSION_CHECK: 1 jobs: - linting: + lint-python: + name: Python runs-on: ubuntu-latest steps: @@ -28,3 +29,61 @@ jobs: run: | set -xe python -m poetry run ruff format --check + + lint-docs: + name: Docs + runs-on: ubuntu-latest + + steps: + - name: Checkout repository + uses: actions/checkout@v4 + + - name: Setup node + uses: actions/setup-node@v4.0.2 + with: + cache: npm + + - name: Install dependencies + run: | + set -xe + npm i + + - name: Lint + run: | + set -xe + npm run lint:docs + + lint-project: + name: Project + runs-on: ubuntu-latest + + steps: + - name: Checkout repository + uses: actions/checkout@v4 + + - name: Setup node + uses: actions/setup-node@v4.0.2 + with: + cache: npm + + - name: Install dependencies + run: | + set -xe + npm i + + - name: Lint + run: | + set -xe + npm run lint:proj + + lint-successful: + if: ${{ always() }} + name: Lint successful + runs-on: ubuntu-latest + needs: [lint-python, lint-docs, lint-project] + + steps: + - name: Whether the whole linting suite passed + uses: re-actors/alls-green@v1.2.2 + with: + jobs: ${{ toJSON(needs) }} diff --git a/.github/workflows/test-worker.yml b/.github/workflows/test-worker.yml index 82caa42..a9b25aa 100644 --- a/.github/workflows/test-worker.yml +++ b/.github/workflows/test-worker.yml @@ -21,7 +21,7 @@ concurrency: group: ${{ github.workflow }}-${{ github.ref }} jobs: - tests: + test-python: name: "${{ matrix.python-version }} on ${{ matrix.os }}" runs-on: "${{ matrix.os }}-latest" @@ -56,11 +56,34 @@ jobs: set -xe python -m poetry run pytest -sv + test-docs: + name: Docs + runs-on: ubuntu-latest + + steps: + - name: Checkout repository + uses: actions/checkout@v4 + + - name: Setup node + uses: actions/setup-node@v4.0.2 + with: + cache: npm + + - name: Install dependencies + run: | + set -xe + npm i + + - name: Lint docs + run: | + set -xe + npm run test:docs + check: if: always() name: Tests Successful runs-on: ubuntu-latest - needs: tests + needs: [test-python, test-docs] steps: - name: Whether the whole test suite passed diff --git a/.gitignore b/.gitignore index ae61aa7..6deb73a 100644 --- a/.gitignore +++ b/.gitignore @@ -12,4 +12,36 @@ __pycache__/ dist/ *.egg-info/ -.vscode/ \ No newline at end of file +.vscode/ + +# dependencies +node_modules/ +.pnp/ +.pnp.js +.yarn/install-state.gz + +# next.js +.next/ +out/ + +# production +build/ + +# misc +.DS_Store +*.pem + +# debug +npm-debug.log* +yarn-debug.log* +yarn-error.log* + +# local env files +.env*.local + +# vercel +.vercel + +# typescript +*.tsbuildinfo +next-env.d.ts diff --git a/.prettierignore b/.prettierignore new file mode 100644 index 0000000..f3eb36f --- /dev/null +++ b/.prettierignore @@ -0,0 +1,2 @@ +src/ +docs/ diff --git a/CITATION.cff b/CITATION.cff index 4444ee6..2691710 100644 --- a/CITATION.cff +++ b/CITATION.cff @@ -34,4 +34,3 @@ title: thread type: software version: 2.0.2 url: https://thread.ngjx.org - diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md index 84f4987..ea196bc 100644 --- a/CONTRIBUTING.md +++ b/CONTRIBUTING.md @@ -77,19 +77,23 @@ Please ensure that tests are updated and pass before merging a Pull Request. ```sh # To test your code, run: -pytest +npm test + +# Or +pytest -sv . ``` ### Linting -We use [Ruff](https://docs.astral.sh/ruff/) +We use [Ruff](https://docs.astral.sh/ruff/), +[Eslint](https://eslint.org/) and [Prettier](https://prettier.io/) to ensure that code is consistent and follows our [code style](./.github/CODESTYLE.md). Please ensure that your code passes linting before merging a Pull Request. ```sh # To lint your code, run: -ruff check +npm run lint # To fix any linting errors, run: -ruff format +npm run lint:fix ``` diff --git a/README.md b/README.md index 5e4ea0f..b4f6eba 100644 --- a/README.md +++ b/README.md @@ -1,15 +1,19 @@ - + + + + +
- [![PYPI - Version][version-shield]][pypi-url] - [![PYPI - Downloads][downloads-shield]][pypi-url] - [![Forks][forks-shield]][forks-url] - [![Stargazers][stars-shield]][stars-url] - [![BSD-3-Clause License][license-shield]][license-url] +[![PYPI - Version][version-shield]][pypi-url] +[![PYPI - Downloads][downloads-shield]][pypi-url] +[![Forks][forks-shield]][forks-url] +[![Stargazers][stars-shield]][stars-url] +[![BSD-3-Clause License][license-shield]][license-url]
@@ -34,16 +38,18 @@

- - + ## About The Project [![Social Card][socialcard]](https://thread.ngjx.org) -Strictly type-safe and Wraps around the python threading library and provides extra functionality +Strictly type-safe and Wraps around the python threading library +and provides extra functionality -Fully compatible with the threading library, this project hopes to provide a more out-of-the-box solution with multi-threaded processing and fetching values from a completed thread, etc. +Fully compatible with the threading library, this project hopes to +provide a more out-of-the-box solution with multi-threaded processing +and fetching values from a completed thread, etc.
@@ -56,9 +62,8 @@ I hope thread will become your threading solution! ♡⸜(˶˃ ᵕ ˂˶)⸝♡

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- - + ## Getting Started This is an example of how you can set up your project locally. @@ -66,32 +71,38 @@ To get a local copy up and running follow these simple example steps. ### Prerequisites -* Python 3.9+ +- Python 3.9+ ### Installation _Below is an example of how you can install and use thread._ -1. Install the package - ```sh - pip install -U thread - ``` -2. Import thread into your library! - ```py - import thread - from thread import Thread, ConcurrentProcessing - ``` +#### 1. Install the package -

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+```sh +pip install -U thread +``` + +#### 2. Import thread into your library +```py +import thread +from thread import Thread, ConcurrentProcessing +``` +

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+ ## Contributing -Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are **greatly appreciated**. ( ˶ˆᗜˆ˵ ) +Contributions are what make the open source community +such an amazing place to learn, inspire, and create. +Any contributions you make are **greatly appreciated**. ( ˶ˆᗜˆ˵ ) -If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". +If you have a suggestion that would make this better, +please fork the repo and create a pull request. +You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again! 1. Fork the Project @@ -100,43 +111,42 @@ Don't forget to give the project a star! Thanks again! 4. Push to the Branch (`git push origin feature/AmazingFeature`) 5. Open a Pull Request -

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- +Read our [contributing guide](./CONTRIBUTING.md) for more information. +

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+ ## License -Distributed under the BSD-3-Clause License. See [LICENSE.txt](./LICENSE.txt) for more information. +Distributed under the BSD-3-Clause License. +See [LICENSE.txt](./LICENSE.txt) for more information.

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- - + ## Contact Alex - [contact@thread.ngjx.org](mailto:contact@thread.ngjx.org)

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- - + ## Acknowledgments -* [Choose an Open Source License](https://choosealicense.com) -* [GitHub Emoji Cheat Sheet](https://www.webpagefx.com/tools/emoji-cheat-sheet) -* [Malven's Flexbox Cheatsheet](https://flexbox.malven.co/) -* [Malven's Grid Cheatsheet](https://grid.malven.co/) -* [Img Shields](https://shields.io) +- [Choose an Open Source License](https://choosealicense.com) +- [GitHub Emoji Cheat Sheet](https://www.webpagefx.com/tools/emoji-cheat-sheet) +- [Malven's Flexbox Cheatsheet](https://flexbox.malven.co/) +- [Malven's Grid Cheatsheet](https://grid.malven.co/) +- [Img Shields](https://shields.io)

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- - + [version-shield]: https://img.shields.io/pypi/v/thread.svg?style=for-the-badge&color=efd0cd [downloads-shield]: https://img.shields.io/pypi/dm/thread.svg?style=for-the-badge [pypi-url]: https://pypi.org/project/thread/ diff --git a/docs/.eslintrc.json b/docs/.eslintrc.json new file mode 100644 index 0000000..fbabaf4 --- /dev/null +++ b/docs/.eslintrc.json @@ -0,0 +1,13 @@ +{ + "root": true, + "extends": ["next/core-web-vitals", "plugin:mdx/recommended"], + "settings": { + "mdx/code-blocks": true + }, + "overrides": [ + { + "files": ["*.md", "*.mdx"], + "parser": "eslint-mdx" + } + ] +} diff --git a/docs/.prettierignore b/docs/.prettierignore new file mode 100644 index 0000000..536d88c --- /dev/null +++ b/docs/.prettierignore @@ -0,0 +1 @@ +.next/ diff --git a/docs/next-sitemap.config.js b/docs/next-sitemap.config.js new file mode 100644 index 0000000..0bcc3b3 --- /dev/null +++ b/docs/next-sitemap.config.js @@ -0,0 +1,9 @@ +/** @type {import('next-sitemap').IConfig} */ +module.exports = { + siteUrl: + process.env.NODE_ENV === "production" + ? "https://thread.ngjx.org" + : "http://localhost:3000", + generateRobotsTxt: true, // (optional) + // ...other options +}; diff --git a/docs/next.config.js b/docs/next.config.js new file mode 100644 index 0000000..9dd207c --- /dev/null +++ b/docs/next.config.js @@ -0,0 +1,40 @@ +/** @type {import('nextra').withNextra} */ +const withNextra = require("nextra")({ + theme: "nextra-theme-docs", + themeConfig: "./theme.config.tsx", + defaultShowCopyCode: true, + latex: true, +}); + +/** @type {import('next').NextConfig} */ +const NextConfig = { + images: { + remotePatterns: [ + { + protocol: "https", + hostname: "avatars.githubusercontent.com", + pathname: "/u/*", + }, + ], + }, + redirects: async () => [ + { + source: "/docs/v2:any?/:path*", + destination: "/docs/latest/:path*", + permanent: false, + }, + { + source: "/docs/v:major.:minor.:patch/:path*", + destination: "/docs/v:major/:path*", + permanent: true, + }, + { + source: "/github/v:major.:minor.:patch/:path*", + destination: + "https://github.com/python-thread/thread/releases/tag/v:major.:minor.:patch", + permanent: true, + }, + ], +}; + +module.exports = withNextra(NextConfig); diff --git a/docs/package-lock.json b/docs/package-lock.json new file mode 100644 index 0000000..67de020 --- /dev/null +++ b/docs/package-lock.json @@ -0,0 +1,12370 @@ +{ + "name": "thread", + "version": "0.1.0", + "lockfileVersion": 3, + "requires": true, + "packages": { + "": { + "name": "thread", + "version": "0.1.0", + "dependencies": { + "@radix-ui/react-icons": "^1.3.0", + "next": "14.1.1", + "next-sitemap": "^4.2.3", + "nextra": "^2.13.2", + "nextra-theme-docs": "^2.13.2", + "react": "^18", + "react-dom": "^18", + "react-type-animation": "^3.2.0", + "tailwind-merge": "^2.2.1" + }, + "devDependencies": { + "@types/node": "^20", + "@types/react": "^18", + "@types/react-dom": "^18", + "autoprefixer": "^10.0.1", + "eslint": "^8", + "eslint-config-next": "14.0.4", + "eslint-mdx": "^3.1.5", + "eslint-plugin-mdx": "^3.1.5", + 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.", + "postbuild": "next-sitemap" + }, + "dependencies": { + "@radix-ui/react-icons": "^1.3.0", + "next": "14.1.1", + "next-sitemap": "^4.2.3", + "nextra": "^2.13.2", + "nextra-theme-docs": "^2.13.2", + "react": "^18", + "react-dom": "^18", + "react-type-animation": "^3.2.0", + "tailwind-merge": "^2.2.1" + }, + "devDependencies": { + "@types/node": "^20", + "@types/react": "^18", + "@types/react-dom": "^18", + "autoprefixer": "^10.0.1", + "eslint": "^8", + "eslint-config-next": "14.0.4", + "eslint-mdx": "^3.1.5", + "eslint-plugin-mdx": "^3.1.5", + "postcss": "^8", + "prettier": "^3.2.5", + "tailwindcss": "^3.3.0", + "typescript": "^5" + } +} diff --git a/docs/postcss.config.js b/docs/postcss.config.js new file mode 100644 index 0000000..12a703d --- /dev/null +++ b/docs/postcss.config.js @@ -0,0 +1,6 @@ +module.exports = { + plugins: { + tailwindcss: {}, + autoprefixer: {}, + }, +}; diff --git a/docs/public/favicon-dark.ico b/docs/public/favicon-dark.ico new file mode 100644 index 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b/docs/public/pointing.jpg new file mode 100644 index 0000000..c682c13 Binary files /dev/null and b/docs/public/pointing.jpg differ diff --git a/docs/public/socialcard-black.jpg b/docs/public/socialcard-black.jpg new file mode 100644 index 0000000..f1803be Binary files /dev/null and b/docs/public/socialcard-black.jpg differ diff --git a/docs/public/socialcard-white.jpg b/docs/public/socialcard-white.jpg new file mode 100644 index 0000000..330e906 Binary files /dev/null and b/docs/public/socialcard-white.jpg differ diff --git a/docs/src/components/typedata.tsx b/docs/src/components/typedata.tsx new file mode 100644 index 0000000..faae336 --- /dev/null +++ b/docs/src/components/typedata.tsx @@ -0,0 +1,42 @@ +export interface TypeData { + [key: string]: string; +} + +export const Statuses: string[] = [ + "Idle", + "Running", + "Invoking hooks", + "Completed", + "Errored", + "Kill Scheduled", + "Killed", +]; +export const ThreadStatuses: TypeData = { + Idle: "This means that the thread is idle and ready to be ran.", + Running: "This means that the thread is currently running.", + "Invoking hooks": "This means that the thread is currently invoking hooks.", + Completed: + "This means that the thread and hooks have completed and is no longer running.", + Errored: "This means that the thread has errored and is no longer running.", + "Kill Scheduled": + "This means that the thread has been scheduled to and will be killed when the next tick occurs.", + Killed: + "This means that the thread has been killed and is no longer running.", +}; + +export const Exceptions: string[] = [ + "ThreadStillRunningError", + "ThreadNotRunningError", + "ThreadNotInitializedError", + "HookRuntimeError", +]; +export const ThreadExceptions: TypeData = { + ThreadStillRunningError: + "Raised when the thread is still running and cannot invoke the method. You can wait for the thread to terminate by calling `Thread.join()` or check the status with `Thread.status`.", + ThreadNotRunningError: + "Raised when the thread is not running and cannot invoke the method. You can run `Thread.start()` to start the thread.", + ThreadNotInitializedError: + "Raised when the thread is not initialized and cannot invoke the method. You can initialize the thread by calling `Thread.__init__()`.", + HookRuntimeError: + "Raised when an error occurs in a hook. This is usually caused by an exception in a hook. You can find the exception in `Thread.errors`.", +}; diff --git a/docs/src/components/typewriter.tsx b/docs/src/components/typewriter.tsx new file mode 100644 index 0000000..d8d1a8c --- /dev/null +++ b/docs/src/components/typewriter.tsx @@ -0,0 +1,21 @@ +"use client"; +import { TypeAnimation } from "react-type-animation"; + +export const PackageManager = () => { + return ( + + ); +}; diff --git a/docs/src/pages/404.mdx b/docs/src/pages/404.mdx new file mode 100644 index 0000000..c2d1331 --- /dev/null +++ b/docs/src/pages/404.mdx @@ -0,0 +1,17 @@ +--- +title: "404: Page Not Found" +--- + +import Link from "next/link"; +import { NotFoundPage } from "nextra-theme-docs"; + +
+ # Page Not Found + + Go back home + + +
diff --git a/docs/src/pages/_app.mdx b/docs/src/pages/_app.mdx new file mode 100644 index 0000000..b97e52f --- /dev/null +++ b/docs/src/pages/_app.mdx @@ -0,0 +1,5 @@ +import "@/styles/globals.css"; + +export default function App({ Component, pageProps }) { + return ; +} diff --git a/docs/src/pages/_meta.json b/docs/src/pages/_meta.json new file mode 100644 index 0000000..5a13022 --- /dev/null +++ b/docs/src/pages/_meta.json @@ -0,0 +1,45 @@ +{ + "*": { + "type": "page" + }, + "index": { + "title": "thread", + "display": "hidden", + "theme": { + "layout": "full", + "timestamp": false + } + }, + "docs": { + "title": "Documentation", + "type": "menu", + "items": { + "latest-release": { + "title": "2.0.2 Latest Release", + "href": "/docs/latest" + }, + "v1-release": { + "title": "1.1.1 Release", + "href": "/docs/v1" + }, + "all-releases": { + "title": "All Releases", + "href": "/docs" + } + } + }, + "learn": { + "title": "Learn" + }, + "about": { + "title": "About", + "theme": { + "timestamp": false + } + }, + "404": { + "theme": { + "timestamp": false + } + } +} diff --git a/docs/src/pages/about.mdx b/docs/src/pages/about.mdx new file mode 100644 index 0000000..14fe3c3 --- /dev/null +++ b/docs/src/pages/about.mdx @@ -0,0 +1,75 @@ +import Link from "next/link"; +import Image from "next/image"; +import { Callout } from "nextra/components"; + +export function Balanced({ children, className = "", ...props }) { + return ( +
+ {children} +
+ ); +} + +export function Profile({ href, imgLink, role }) { + return ( +
+ + {href} + + {role} +
+ ); +} + +
+ +# About Thread + + + Thread is a *simple*, *performant* and *type-safe* Python threading library + that is lightweight and easy to use. Thread strives to be ✨**YOUR** threading + library of choice✨. + + +## The Team + +
+ + + +
+ +
+ Check out the full list of contributors on + [GitHub](https://github.com/python-thread/thread/graphs/contributors). +
+ +### Contributing + +We welcome contributions, please see our [Contributing Guide](https://github.com/python-thread/thread/blob/main/.github/CONTRIBUTING.md) for more details. + +### License + +Thread is licensed under the [BSD 3-Clause "New" or "Revised" License](https://github.com/python-thread/thread/blob/main/LICENSE.txt). + +
diff --git a/docs/src/pages/docs/_meta.json b/docs/src/pages/docs/_meta.json new file mode 100644 index 0000000..7f829db --- /dev/null +++ b/docs/src/pages/docs/_meta.json @@ -0,0 +1,15 @@ +{ + "*": { + "type": "page" + }, + "index": { + "title": "Documentation", + "display": "hidden", + "theme": { + "layout": "full", + "timestamp": false + } + }, + "latest": "v2.0.2 Latest", + "v1": "v1.1.1" +} diff --git a/docs/src/pages/docs/index.mdx b/docs/src/pages/docs/index.mdx new file mode 100644 index 0000000..9d506d4 --- /dev/null +++ b/docs/src/pages/docs/index.mdx @@ -0,0 +1,247 @@ +import Link from "next/link"; +import { ExternalLinkIcon } from "@radix-ui/react-icons"; + +import { cn } from "@utils"; + +export const linkVariant = { + default: cn( + "bg-neutral-100 dark:bg-neutral-800 hover:bg-neutral-200 dark:hover:bg-neutral-700 border border-neutral-300 dark:border-neutral-700", + ), +}; + +export function VersionLink({ + variant = "default", + className, + href, + ...props +}) { + return ( + + ); +} + +export const statusVariant = { + latest: cn("bg-blue-200 dark:bg-blue-700/50"), + stable: cn("bg-green-200 dark:bg-green-800/50"), + beta: cn("bg-yellow-200 dark:bg-yellow-500/50"), + dev: cn("bg-purple-200 dark:bg-purple-700/50"), +}; +export function StatusBadge({ children, variant = "beta", className }) { + return ( + + {children} + + ); +} +export function Text({ children, className }) { + return ( +

{children}

+ ); +} + +
+ +# Releases + +This is a list of all the available releases. + +
+ +
+ + Latest v2.0.2 +
+ + This is the latest ***stable*** release. + +
+ latest + stable +
+
+ +
+ + v1.1.1 +
+ + This is the last ***stable*** v1.1.1 release. + +
+ stable +
+
+
+ +
+ +
+ +
+

Development

+

Now

+
+ dev + + +
+

Release v2.0.2

+

25 May 2024

+
+ stable + + +
+

Release v2.0.1

+

28 April 2024

+
+ stable + + +
+

Release v2.0.0

+

21 April 2024

+
+ stable + + +
+

Release v1.1.1

+

17 March 2024

+
+ stable + + +
+

Release v1.1.0

+

17 March 2024

+
+ stable + + +
+

Release v1.0.1

+

12 March 2024

+
+ stable + + +
+

Release v1.0.0

+

9 March 2024

+
+ stable + + +
+

Release v0.1.3

+

10 December 2023

+
+ stable + + +
+

Release v0.1.2

+

16 November 2023

+
+ stable + + +
+

Release v0.1.1

+

14 November 2023

+
+ stable + + +
+

Release v0.1.0

+

14 November 2023

+
+ stable + + +
+

Release v0.0.1

+

14 November 2023

+
+ stable + +
+ +
diff --git a/docs/src/pages/docs/latest/_meta.json b/docs/src/pages/docs/latest/_meta.json new file mode 100644 index 0000000..0e07b0b --- /dev/null +++ b/docs/src/pages/docs/latest/_meta.json @@ -0,0 +1,9 @@ +{ + "index": "Introduction", + "installation": "Installation", + "configuration": "Configuration", + "thread-class": "Thread Class", + "concurrent-processing": "Concurrent Processing", + "exceptions": "Exceptions", + "command-line-interface": "Command Line Interface" +} diff --git a/docs/src/pages/docs/latest/command-line-interface.mdx b/docs/src/pages/docs/latest/command-line-interface.mdx new file mode 100644 index 0000000..2e0399b --- /dev/null +++ b/docs/src/pages/docs/latest/command-line-interface.mdx @@ -0,0 +1,201 @@ +import { Callout, Tabs, Steps } from "nextra/components"; + + + This documentation is still in development. Please report any issues + [here](https://github.com/python-thread/thread/issues). + + +# CLI Documentation + +Commands Line Interface (CLI) Documentation. + +## Installation + + + +### Prerequisites + +- Python 3.9+ + +### Installing + +#### Published Release + +We recommend using a packaging manager like `pip` or `poetry`. + + + + ```sh + pip install thread-cli + ``` + + +```sh pipx install thread-cli ``` + + + ```sh + poetry add thread-cli + # OR + poetry install thread-cli + ``` + + + +#### Building From Source + +```sh +# Clone this repository +git clone https://github.com/python-thread/thread-cli + +# Install the upstream package +pip install -e . +``` + +#### Development + +```sh +# Clone this repository +git clone https://github.com/python-thread/thread-cli + +# Install poetry +pip install poetry + +# Install dependencies +poetry install +``` + +### Running the CLI + +Open your terminal and run: + +```sh +thread +``` + + + +## Getting started + +Try running the help command! + +```sh +thread -h/--help +``` + +## Log levels + +Thread CLI uses the [python logging library.](https://docs.python.org/3/library/logging.html) + +| Name | Level | +| :------: | :---: | +| NOTSET | 0 | +| DEBUG | 10 | +| INFO | 20 | +| WARN | 30 | +| ERROR | 40 | +| CRITICAL | 50 | + +## Commands + +List of commands + +### Documentation (thread docs) + +```sh +thread docs +``` + +Ran with no arguments and options, this command will attempt to open your browser to this MD file! +If unable, will instead print out the link. + +### Help (thread help) + +```sh +thread help +``` + +Ran with no arguments and options, this command will attempt to open your browser to the issue tracker! +If unable, will instead print out the link. + +### Report (thread report) + +```sh +thread report +``` + +Ran with no arguments and options, this command will attempt to open your browser to this MD file! +If unable, will instead print out the link. + +### Configuration (thread config ...) + +```sh +thread config +``` + +Coming soon. + +### Parallel Processing (thread process ...) + +```sh +thread process +``` + +Invokes the [ParallelProcessing](/docs/parallel-processing#importing-the-class) class. + +#### Examples + + + + Say you wanted to generate a list of the square of every number from 0 to 999. + ```sh + thread process 'lambda x: x**2' '[ i for i in range(1000) ]' + ``` + + This is functionally equivalent to: + ```py + import thread + + # Start processing + worker = thread.ParallelProcessing( + function = lambda x: x**2, + dataset = [ i for i in range(1000) ] + ) + worker.start() + worker.join() + + # Write output to "./output.json" + with open('./output.json', 'w') as output: + output.write(worker.results) + ``` + + + + Say you have a `csv` file at `./dirty_data.csv` and want to parse every line into a `clean` function in `./clean_data.py`. + ```sh + thread process 'clean_data:clean' './dirty_data.csv' + ``` + + This is functionally equivalent to: + ```py + import thread + from .clean_data import clean + + # Read files + with open('./dataset.csv', 'r') as dataset: + data = dataset.readlines() + + # Starts processing + worker = thread.ParallelProcessing( + function = clean, + dataset = data, + ) + worker.start() + worker.join() + + # Writes to "output.json" + with open('./output.json', 'w') as output: + output.write(worker.results) + ``` + + + diff --git a/docs/src/pages/docs/latest/concurrent-processing.mdx b/docs/src/pages/docs/latest/concurrent-processing.mdx new file mode 100644 index 0000000..04e0c85 --- /dev/null +++ b/docs/src/pages/docs/latest/concurrent-processing.mdx @@ -0,0 +1,660 @@ +import { cn } from "@utils"; +import { Callout, Steps, Tabs } from "nextra/components"; +import { CheckIcon, Cross2Icon, DotFilledIcon } from "@radix-ui/react-icons"; +import { + Statuses, + ThreadStatuses, + ThreadExceptions, +} from "@components/typedata"; + +export function ArgumentWrapper({ children, className, ...props }) { + return ( +
+ {children} +
+ ); +} + +export function ArgumentBody({ children, className, ...props }) { + return ( +
+ {children} +
+ ); +} + +export function ArgumentExtra({ children, className, ...props }) { + return ( + + {children} + + ); +} + +export function TabbedData({ type, keys = [] }) { + return ( + + {keys.map((key, i) => ( + + {type === "status" ? ThreadStatuses[key] : ThreadExceptions[key]} + + ))} + + ); +} + +export function Text({ children, className, ...props }) { + return ( +

+ {children} +

+ ); +} + +# Concurrent Processing Documentation + +Documentation for `thread.ConcurrentProcessing`. + +## Why Concurrent Processing? + +Concurrent Processing is used to speed up the data processing of large datasets by splitting workflow into multiple threads. + +Traditionally, this is achieved with a for loop. + +```py +my_dataset = [] # Large dataset +def my_data_processor(Data_In) -> Data_Out: + ... + +processed_data = [] +for data in my_dataset: + processed_data = my_data_processor(data) + +print(processed_data) # Processed data +``` + +While this is simple and decent enough for a small dataset, this is not ideal for large datasets, especially when runtime matters. +By using `thread.ConcurrentProcessing` we can split the large dataset into multiple chunks and process each chunk simultaneously. + + + Concurrent Processing is not True Parallel. Learn more + [here](/learn/cautions/parallelism). + + +## How It Works + + + +### Determine Thread Count + +The number of threads used is determined by the following formula: + +```py +thread_count = min(max_threads, len(dataset)) +``` + +This ensures that the number of threads used will always be less than or equal to the length of the dataset, +which prevents redundant threads to be initialized for small datasets. + +### Chunking + +The dataset is split as evenly as possible into chunks, preserving the order of data. +Chunks follow the structure: + +```py +chunks = [[1, 2, 3, ...], [50, 51, 52, ...], ...] +``` + +Let $N$ be the length of the dataset +and let $M$ be the number of threads. + +The individual chunk lengths decrease down the chunk list. +The length of each chunk will can be either $\lfloor{N/M + 0.5}\rfloor + 1$ or $N/M$. + + + The chunks generated are generators, meaning they will not take up much + memory. + + + + +## Importing the class + +```py +import thread +thread.ConcurrentProcessing + +from thread import ConcurrentProcessing +``` + +## Quick Start + +There are main 2 ways of initializing a concurrent processing object. + +### On-Demand + +You can create a simple process by initializing `thread.ConcurrentProcessing` and passing the `function` and `dataset`. + +```py +def my_data_processor(Data_In) -> Data_Out: ... + +# Recommended way +my_processor = ConcurrentProcessing( + function = my_data_processor, + dataset = [i in range(0, n)] +) + +# OR +# Not the recommended way +my_processor = ConcurrentProcessing(my_data_processor, [i in range(0, n)]) +``` + +It can be ran by invoking the `start()` method + +```py +my_processor.start() +``` + +### Decorated Function + +You can decorate a function with `thread.processor` which uses `thread.ConcurrentProcessing`. +When the decorated function is invoked, it will automatically be ran in a new thread each time and return a `thread.ConcurrentProcessing` object. + +A decorated function's signature is overwritten, replacing the first argument to require a sequence of the `Data_In` type. + +```python +import thread + +@thread.processor +def my_target(Data_In, arg1, arg2, *, arg3: bool = False) -> Data_Out: ... + +dataset: Sequence[type[Data_In]] +worker = my_target(dataset, arg1, arg2, arg3 = True) # thread.ConcurrentProcessing() +``` + + + Did you know? + +Decorators can take in keyword arguments that change the behavior of the thread. + +```py +import thread + +@thread.processor(name = 'my_thread', suppress_errors = True) +def my_target(): ... +``` + +See the full list of arguments [here](#initialization) + + + +### Compatibility + +Data processing is usually achieved with external libraries like `pandas`. +However, there is no native support for dataset objects without both of the **\_\_len\_\_()** and **\_\_getitem\_\_()** methods. + +#### This is primarily because: + +- The `__len__()` method is used to determine the length of the dataset using the `len(dataset)` method. +- The `__getitem__()` method is used to access the dataset using the `dataset[index]` method. + +This is also why `thread.ConcurrentProcessing` does not support `Generator` objects or `Iterator` objects out of the box. + +#### Work-around + +We now non-natively support all most dataset types. + +We stopped explicitly supporting the `Sequence` type and instead now use `Protocol`s to check if `__len__()` or `__getitem__()` are implemented. +We also added context-specific optional/required `_length` and `_get_value` arguments when initializing `thread.ConcurrentProcessing`. + +You can find out more about the valid \__length_ and _get_value_ arguments [here](#optional). + +##### Mapping + + + + Has `__len__` and `__getitem__` + + + + + Does not have `__len__` + and `__getitem__` + + + + + Does not have `__len__` and has + `__getitem__` + + + + Has `__len__` and does not + have `__getitem__` + + +
+ + **_length** + Required + + + **_get_value** + Required + +
+ +##### Example + +Now you do not have to pre-convert the dataset to a supported dataset type. + +```py +from thread import ConcurrentProcessing + +myDataFrame: ... + +process = ConcurrentProcessing( + function = lambda x: x + 1, + dataset = myDataFrame, + _length = myDataFrame.getLength(), + _get_value = lambda d, i: d.getIndex(i) +) +``` + + + Static type checking will reflect the whether `_length` and `_get_value` are + required or optional depending on the dataset type. + + +## Initialization + +This will cover the required and optional arguments initializing a concurrent process. + +### Required + + + + + function + (Data_In, *args, **kwargs) -> Data_Out + + + + This should be a function that takes in a data from the `dataset` with/without overloads and returns Data_Out. + + Arguments and keyword arguments excluding the first argument parsed to the `function` can be parsed through `args` and `kwargs`. + `Data_Out` will be written to the generated thread's `Thread._returned_value` and can be accessed via `ConcurrentProcessing.results` or `ConcurrentProcessing.get_return_values()`. + + `function` can be parsed as the first argument to `ConcurrentProcessing.__init__()`, although it is recommended to use only keyword arguments. + ```py + import thread + + thread.ConcurrentProcessing(lambda x: x + 1, []) + thread.ConcurrentProcessing(function = lambda x: x + 1, dataset = []) + ``` + + + Best Practices + + While you can use a lambda function, it is best to use a normal function for your LSP/Linter to infer types. + ```py + from thread import ConcurrentProcessing + + worker = ConcurrentProcessing(function = lambda x: x + 1, dataset = [1, 2, 3]) + worker.start() + worker.join() + + worker.results # This will be inferred as Unknown by your LSP/Linter + ``` + ```py + from thread import ConcurrentProcessing + + def my_target(x: int) -> int: + return x + 1 + + worker = ConcurrentProcessing(function = my_target, dataset = [1, 2, 3]) + worker.start() + worker.join() + + worker.results # This will be inferred as a list[int] + ``` + + + + + + + + + dataset + Dataset[Data_In] + + + + This should be an interable sequence of data parsed as the first argument to `function`. + + + This can be of any type if you pass the according `_length` and `_get_value` arguments. See [here](#compatibility) for more details. + + + ```py + import thread + + def my_function(x: int) -> int: + ... + + thread.ConcurrentProcessing(function = my_function, dataset = [1, 2, 3]) + thread.ConcurrentProcessing(function = my_function, dataset = ('hi')) # This will be highlighted by your LSP/Linter + ``` + + + + +### Optional + + + + + max_threads + int + (default: 8) + + + + This is the maximum number of threads that will be created by `thread.ConcurrentProcessing`. + + + This value is not always the number of threads created. See [here](#determine-thread-count) for more details. + + + + + + + + + _get_value + (Dataset, int) -> Data_Out + (default: None) + + + + This can be a **required** argument depending on the `dataset` type. See [here](#compatibility) for more details. + + This is invoked every time a value is retrieved from the dataset. + ```py + from thread import ConcurrentProcessing + + dataset: MyDatasetType = ... + + ConcurrentProcessing( + function = my_function, + dataset = dataset, + _get_value = lambda d, index: d[index], + ) + + ConcurrentProcessing( + function = my_function, + dataset = dataset, + _get_value = lambda d, index: d.getIndex(index), + ) + ``` + + + + + + + + _length + int | (Dataset) -> Data_In + (default: dataset.__len__) + + + + This can be a **required** argument depending on the `dataset` type. See [here](#compatibility) for more details. + + This is the length of the dataset that will be processed by `thread.ConcurrentProcessing`. + + This is invoked only once when `thread.ConcurrentProcessing` is initialized. + ```py + from thread import ConcurrentProcessing + + dataset: MyDatasetType = ... + + ConcurrentProcessing( + function = my_function, + dataset = dataset, + _length = 5, + ) + + def get_length(dataset: MyDatasetType) -> int: ... + ConcurrentProcessing( + function = my_function, + dataset = dataset, + _length = get_length, + ) + ``` + + + + + + + + *args / **kwargs + (default: None) + Any / Mapping[str, Any] + + + + These overloads are parsed to `thread.Thread.__init__()`, then `threading.Thread.__init__()`. + + + If kwargs contain an argument named `args`, then it will automatically be removed from kwargs and joined with `ConcurrentProcessing.__init__().args`. + + + See [`thread.Thread` documentation](/docs/thread-class#optional) for more details.
+ See [`threading` documentation](https://docs.python.org/3/library/threading.html#threading.Thread) for more details. + +
+
+ +## Properties + +### Attributes + +These are attributes of `thread.ConcurrentProcessing` class. + + + + + results + List[Data_Out] + + + + This is a list of the data that was returned by the `function` in + `thread.ConcurrentProcessing`. + + + + + + + + + + status + thread.ThreadStatus + + + + This is the current status of the thread. + + + These Are The Possible Values + + + + + + +### Methods + +These are methods of `thread.ConcurrentProcessing` class. + + + + + start + () -> None + + + + This starts the processing. + + Simply invoke `ConcurrentProcessing.start()` on a ConcurrentProcessing object. + ```py + import thread + + worker = thread.ConcurrentProcessing(function = my_func, dataset = [1, 2, 3]) + worker.start() + ``` + + + Exceptions Raised + + + + + + + + + + is_alive + () -> bool + + + + This indicates whether the threads are still alive. + + Simply invoke `ConcurrentProcessing.is_alive()` on a ConcurrentProcessing object. + ```py + import thread + + worker = thread.ConcurrentProcessing(function = my_func, dataset = [1, 2, 3]) + worker.is_alive() + ``` + + + Exceptions Raised + + + + + + + + + + get_return_values + () -> List[Data_Out] + + + + This halts the current thread execution until the processing completes and returns the value returned by `function`. + + Simply invoke `ConcurrentProcessing.get_return_values()` on a thread object. + ```py + import thread + + worker = thread.ConcurrentProcessing(function = my_func, dataset = [1, 2, 3]) + worker.get_return_values() + ``` + + + Exceptions Raised + + + + + + + + + + join + (timeout: float = None) -> None + + + + This halts the current thread execution until the `ConcurrentProcessing` completes or exceeds the timeout. + A None value for timeout will have the same effect as passing `float("inf")` as a timeout. + + Simply invoke `ConcurrentProcessing.join()` on a ConcurrentProcessing object. + ```py + import thread + worker = thread.ConcurrentProcessing(function = my_func, dataset = [1, 2, 3]) + worker.join(5) + worker.join() + ``` + + + Exceptions Raised + + + + + + + + + + kill + (yielding: bool = False, timeout: float = 5) -> bool + + + + This schedules the threads to be killed. + + If yielding is True, it halts the current thread execution until the threads are killed or the timeout is exceeded. + Similar to `ConcurrentProcessing.join()`, a None value for timeout will have the same effect as passing `float("inf")` as a timeout. + + Simply invoke `ConcurrentProcessing.kill()` on a ConcurrentProcessing object. + ```py + import thread + + worker = thread.ConcurrentProcessing(function = my_func, dataset = [1, 2, 3]) + worker.kill(True, 10) + worker.kill(False) + worker.kill() + ``` + + + Exceptions Raised + + + + + This only schedules the threads to be killed, and does not immediately kill the threads. + + Meaning that if `function` has a long `time.wait()` call, it will only be killed after it moves onto the next line. + + + + diff --git a/docs/src/pages/docs/latest/configuration.mdx b/docs/src/pages/docs/latest/configuration.mdx new file mode 100644 index 0000000..2f4cf0d --- /dev/null +++ b/docs/src/pages/docs/latest/configuration.mdx @@ -0,0 +1,112 @@ +import { cn } from "@utils"; +import { Callout } from "nextra/components"; + +export function ArgumentWrapper({ children, className, ...props }) { + return ( +
+ {children} +
+ ); +} + +export function ArgumentBody({ children, className, ...props }) { + return ( +
+ {children} +
+ ); +} + +export function ArgumentExtra({ children, className, ...props }) { + return ( + + {children} + + ); +} + +# Configuration + +Documentation for configuration options. + +## Importing Settings + +This is how you import the settings. + +```py +from thread import Settings +``` + +## Configuration Options + + + + + GRACEFUL_EXIT_ENABLED + bool + (default: True) + + + + Graceful exit schedules non-daemonized threads to be killed with `Thread.kill()` when the program receives a `SIGINT` or `SIGTERM`. + + Simply invoke `Settings.set_graceful_exit(enabled)` to enable/disable graceful exit. + ```py + from thread import Settings + + Settings.get_graceful_exit(True) + Settings.get_graceful_exit(False) + ``` + + + This will only affect threads created from `thread.Thread`. + + + + + + + + + VERBOSITY + VerbosityLevel + (default: 'normal') + + + + Adjust what is printed to the terminal. + + This feature is only available in `thread ^v1.0.1` + + + Simply invoke `Setting.set_verbosity(level)` to set the verbosity level. + ```py + from thread import Settings + + Settings.set_verbosity(1) + Settings.set_verbosity('normal') + ``` + + `Settings.VERBOSITY` can be compared against strings and integers and other `Verbosity` objects. + ```py + from thread.utils.config import Verbosity, Settings + + # Mapping + Verbosity(0) == Verbosity('quiet') + Verbosity(1) == Verbosity('normal') + Verbosity(2) == Verbosity('verbose') + + # Comparison + Verbosity(0) < 1 # True + Verbosity(1) < 'verbose' # True + Verbosity(2) == 'verbose' # True + ``` + + + diff --git a/docs/src/pages/docs/latest/exceptions.mdx b/docs/src/pages/docs/latest/exceptions.mdx new file mode 100644 index 0000000..f1563a2 --- /dev/null +++ b/docs/src/pages/docs/latest/exceptions.mdx @@ -0,0 +1,128 @@ +import { Callout } from "nextra/components"; + +# Exceptions + + + Exceptions from Python's `threading` module are not included. For + information please refer to Python's [errors and exceptions + page](https://docs.python.org/3/tutorial/errors.html). + + +Don't have the thread library? [See here](./installation) for installing thread + +### Suppressing Exceptions + +When initializing a thread, you can parse a `suppress_errors` boolean. When a +exception is raised it is stored in the `Thread._errors` attribute. By default this +is set to false. + +For ignoring exceptions see [here](#ignoring-exceptions). + +```py +from thread import Thread + +def bad_function(): + raise RuntimeError('>:cc') + +# Suppress exceptions +thread1 = Thread( + target = bad_function, + suppress_errors = True +) +thread1.start() +thread1.join() +print(thread1._errors) # list[RuntimeError('>:cc')] +``` + +### Ignoring Exceptions + +When initializing a thread, you can parse a `ignore_errors` sequence. When a exception is +raised it will not be stored within `Thread._errors` or raised. By default this is set as an empty +tuple. + +For suppressing exceptions see [here](#suppressing-exceptions). + +```py +from thread import Thread + +def bad_function(): + raise RuntimeError('>:cc') + +# Ignore error +thread2 = Thread( + target = bad_function, + ignore_errors = [RuntimeError] +) +thread2.start() +thread2.join() +print(thread2._errors) # list[] +``` + +### Suppressing and Ignoring Errors + +It should be noted that these arguments are not exclusive of each other; you can both suppress and ignore errors. + +```py +# Non-ignored error with suppressing +thread4 = Thread( + target = bad_function, + ignore_errors = [ValueError], + suppress_errors = True +) +thread4.start() +thread4.join() +print(thread4._errors) # list[RuntimeError(':<<')] +``` + +## Exceptions + +The list of exceptions that can be thrown accompanied by common ways to resolve the error. + +### ThreadErrorBase + +This is the base exception class that all exceptions inherit from. + +### ThreadStillRunningError + +This exception is raised when you attempt to invoke a method that requires the thread to not be running, but the thread is currently running. + +> You can wait for the thread to terminate with [**Thread.join()**](.thread-class#methods) before invoking the method
+> You can check if the thread is running with [**Thread.is_alive()**](thread-class#methods) before invoking the method + +### ThreadNotRunningError + +This exception is raised when you attempt to invoke a method that requires the thread to be running, but the thread is currently not running. +This is raised when you attempt to invoke a method which requires the thread to be running, but isn't + +> You can run the thread with [**Thread.start()**](thread-class#methods) before invoking the method + +### ThreadNotInitializedError + +This exception is raised when you attempt to invoke a method that requires the thread to initialized, but the thread is not initialized. + +> You can initialize and start the thread with [**Thread.start()**](thread-class#methods) before invoking the method + +### HookRuntimeError + +This is raised when hooks raise an exception. + +This exception conforms to the rules given when a thread is ran with suppressed or ignored arguments. + +Example traceback + +```text +HookRuntimeError: Encountered runtime errors in hooks + +1. my_function +>>>>>>>>>> +/usr/home/proj/main.py:50 +ZeroDivisionError: +<<<<<<<<<< + +2. my_otherfunction +>>>>>>>>>> +ImportError: +<<<<<<<<<< +``` + +[See here](./thread-class) for how to using the `thread.Thread` class! diff --git a/docs/src/pages/docs/latest/index.mdx b/docs/src/pages/docs/latest/index.mdx new file mode 100644 index 0000000..f610269 --- /dev/null +++ b/docs/src/pages/docs/latest/index.mdx @@ -0,0 +1,48 @@ +import { + LightningBoltIcon, + ExclamationTriangleIcon, + GearIcon, + MixIcon, + CodeIcon, +} from "@radix-ui/react-icons"; +import { Cards, Card } from "nextra/components"; + +# Introduction + +This is `thread`, a Python library which extends Python's built-in `threading` library. + +## Thread v2.0.2 + +You are viewing the documentation for the `v2.0.2` release.
+This is the most recent stable release of `thread`. + +## Quick Start + + + } + /> + } + /> + } /> + } + /> + } + /> + } + /> + diff --git a/docs/src/pages/docs/latest/installation.mdx b/docs/src/pages/docs/latest/installation.mdx new file mode 100644 index 0000000..c481c46 --- /dev/null +++ b/docs/src/pages/docs/latest/installation.mdx @@ -0,0 +1,57 @@ +import { Tabs, Steps } from "nextra/components"; + +# Getting started with thread + +Thanks for using thread! I hope you find it useful for your projects. +Here's to you get started. + + + +### Prerequisites + +- Python 3.9+ + +### Installing + +#### Published Release + +We recommend using a packaging manager like `pip` or `poetry`. + + + ```sh pip install thread ``` + ```sh pipx install thread ``` + ```sh poetry add thread # OR poetry install thread ``` + + +#### Building From Source + +```sh +# Clone this repository +git clone https://github.com/python-thread/thread + +# Install the upstream package +pip install -e . +``` + +#### Development + +```sh +# Clone this repository +git clone https://github.com/python-thread/thread + +# Install poetry +pip install poetry + +# Install dependencies +poetry install +``` + +### Importing thread + +Import thread into your .py file + +```py +import thread +``` + + diff --git a/docs/src/pages/docs/latest/thread-class.mdx b/docs/src/pages/docs/latest/thread-class.mdx new file mode 100644 index 0000000..2de98e2 --- /dev/null +++ b/docs/src/pages/docs/latest/thread-class.mdx @@ -0,0 +1,633 @@ +import { cn } from "@utils"; +import { Tabs, Callout } from "nextra/components"; +import { + Statuses, + ThreadStatuses, + ThreadExceptions, +} from "@components/typedata"; + +export function ArgumentWrapper({ children, className, ...props }) { + return ( +
+ {children} +
+ ); +} + +export function ArgumentBody({ children, className, ...props }) { + return ( +
+ {children} +
+ ); +} + +export function ArgumentExtra({ children, className, ...props }) { + return ( + + {children} + + ); +} + +export function TabbedData({ type, keys = [] }) { + return ( + + {keys.map((key, i) => ( + + {type === "status" ? ThreadStatuses[key] : ThreadExceptions[key]} + + ))} + + ); +} + +# Thread Class Documentation + +Documentation for `thread.Thread`. + +## Importing the class + +Here are some ways of importing the `Thread` class. + +```python +import thread +thread.Thread + +from thread import Thread +``` + +## Quick Start + +There are main 2 ways of initializing a thread. + +### On-Demand + +You can create a simple thread by initializing `thread.Thread` and passing the `target` function. + +```python +def my_target(): ... + +# Recommended way +my_thread = Thread( + target = my_target +) + +# OR +# Not the recommended way +my_thread = Thread(my_target) +``` + +A thread can be ran by invoking the `start()` method + +```py +my_thread.start() +``` + +### Decoratored Function + +You can decorate a function with `thread.threaded` which uses `thread.Thread`. +When the decorated function is invoked, it will automatically be ran in a new thread each time and return a `thread.Thread` object. + +```python +import thread + +@thread.threaded +def my_target(): ... + +worker = my_target() # thread.Thread() +``` + + + Did you know? + +Decorators can take in keyword arguments that change the behavior of the thread. + +```py +import thread + +@thread.threaded(name = 'my_thread', suppress_errors = True) +def my_target(): ... +``` + +See the full list of arguments [here](#initialization) + + + +## Initialization + +This will cover the required and optional arguments initializing a thread. + +### Required + + + + + target + (*args, **kwargs) -> Data_Out + + + + This should be a function which takes in any arguments and returns anything. + + Any arguments and keyword arguments parsed to the `target` function can be parsed through `args` and `kwargs`. + `Data_Out` will be written to `Thread._returned_value` and can be accessed via `Thread.result` or `Thread.get_return_value()`. + + `target` can be parsed as the first argument to `Thread.__init__()`, although it is recommended to use only keyword arguments. + ```py + import thread + + thread.Thread(lambda x: x + 1) + thread.Thread(target = lambda x: x + 1) + ``` + + + Best Practices + + While you can use a lambda function, it is best to use a normal function for your LSP/Linter to infer types. + ```py + from thread import Thread + + worker = Thread(target = lambda x: x + 1) + worker.start() + worker.join() + + worker.result # This will be inferred as Unknown by your LSP/Linter + ``` + ```py + from thread import Thread + + def my_target(x: int) -> int: + return x + 1 + + worker = Thread(target = my_target) + worker.start() + worker.join() + + worker.result # This will be inferred as int + ``` + + + + + +### Optional + + + + + args + Sequence[Data_In] + (default: ()) + + + + This should be an iterable sequence of arguments parsed to the `target` function. + + For example: + ```py + import thread + + thread.Thread(target = my_target, args = ('foo', 'bar')) + thread.Thread(target = my_target, args = ['foo', 'bar']) + ``` + + + Args used in `Thread.__init__()` cannot offer static type checking. [Learn More](/learn/cautions/type-safety) + + + + + + + + + kwargs + Mapping[str, Data_In] + (default: {}) + + + + This should be a mapping of kwargs passed to the `target` function. + + For example: + ```py + import thread + + thread.Thread(target = my_target, kwargs = {'foo': 'bar'}) + thread.Thread(target = my_target, kwargs = dict(foo = 'bar')) + ``` + + + Kwargs used in `Thread.__init__()` cannot offer static type checking. [Learn More](/learn/cautions/type-safety) + + + + + + + + + ignore_errors + Sequence[type[Exception]] + (default: ()) + + + + This should be an iterable sequence of all types of exceptions to ignore. + Ignored errors are not propagated or logged to `Thread.errors`. + + The `Exception` class can be parsed to ignore all exceptions. + + For example: + ```py + import thread + + # This ignores all exceptions + # thread.errors = [] + # hooks begin execution + thread.Thread(target = raiseRuntimeError, ignore_errors = (Exception,)) + + # This propagates the exception + # thread.errors = [RuntimeError] + # thread is killed + thread.Thread(target = raiseRuntimeError, ignore_errors = [TypeError]) + + # This ignores RuntimeError + # thread.errors = [] + # hooks begin execution + thread.Thread(target = raiseRuntimeError, ignore_errors = [RuntimeError]) + ``` + + + Ignored exceptions may cause unintended skipped code execution. + ```py + import thread + + def my_target(): + print('Before raise') + raise Exception('oh no!') + print('After raise') + + thread.Thread(target = my_target, ignore_errors = (Exception,)) + thread.start() + + # > Before raise + # Program End + ``` + + + + + + + + + suppress_errors + bool + (default: False) + + + + This should be a boolean indicating whether non-ignored exceptions will be propagated. + + + Non-ignored exceptions will be logged to `Thread.errors` without propagating. + + + ```py + import thread + + # Thread.errors = [RuntimeError] + # hooks begin execution + thread.Thread(target = raiseRuntimeError, suppress_errors = True) + ``` + + + + + + + + name + str + (default: None) + + + + This should be a string name of the thread. + + **_By default, a unique name is constructed of the form "Thread-N" where N is a small decimal number, or "Thread-N (target)" where "target" is target.\_\_name\_\_ if the target argument is specified._** + ~ Python threading docs. + + ```py + import thread + + thread.Thread(target = my_target, name = 'my_thread') + ``` + + See [`threading` documentation](https://docs.python.org/3/library/threading.html#threading.Thread) for more details. + + + + + + + + daemon + bool + (default: False) + + + + This should be a boolean indicating whether the thread should be a daemon thread. + + See [`threading` documentation](https://docs.python.org/3/library/threading.html#threading.Thread) for more details. + + + + + + + + *args / **kwargs + (default: None) + Any / Mapping[str, Any] + + + + These overloads are parsed to `threading.Thread.__init__()` + + See [`threading` documentation](https://docs.python.org/3/library/threading.html#threading.Thread) for more details. + + + + +## Properties + +### Attributes + +These are attributes of `thread.Thread` class. + + + + + result + Data_Out + + + + This is what is returned from the target function. + + + Exceptions Raised + + + + + + + + + + status + thread.ThreadStatus + + + + This is the current status of the thread. + + + These Are The Possible Values + + + + + + + + + + errors + List[Exception] + + + + This is the list of errors raised by the thread. + + Only non-ignored errors are logged to this list. + ```py + import thread + + worker = thread.Thread(target = my_target) + worker.errors + ``` + + + + + + + + hooks + List[(Data_Out) -> Any | None] + + + + This is the list of hooks added to the thread. + + Hooks will be executed in the same order as they are added to the list. + ```py + import thread + + worker = thread.Thread(target = my_target) + worker.hooks + ``` + + + + +### Methods + +These are methods of `thread.Thread` class. + + + + + start + () -> None + + + + This starts the thread. + + Simply invoke `Thread.start()` on a thread object. + ```py + import thread + + worker = thread.Thread(target = my_target) + worker.start() + ``` + + + Exceptions Raised + + + + + + + + + + is_alive + () -> bool + + + + This indicates whether the thread is still alive. + + Simply invoke `Thread.is_alive()` on a thread object. + ```py + import thread + + worker = thread.Thread(target = my_target) + worker.is_alive() + ``` + + + Exceptions Raised + + + + + + + + + + add_hook + ((Data_Out) -> Any | None) -> None + + + + This adds a hook to the thread. + + Hooks are invoked in the worker thread after the thread successfully completes, passing `Data_Out` as the first argument. + If a hook errors, the exception is recorded to `Thread.errors`, and is only propagated in the main thread when `Thread.join()`, `Thread.get_return_value()` or `Thread.result` is invoked. + + Simply invoke `Thread.add_hook(hook)` on a thread object. + ```py + import thread + + worker = thread.Thread(target = lambda x: x+1, args = (2,)) + worker.add_hook(lambda x: print(f'Worker Hook: {x}') + worker.start() + + # > Worker Hook: 3 + # Program ends + ``` + + + Exceptions Raised + + + + + + + + + + get_return_value + () -> Data_Out + + + + This halts the current thread execution until the thread completes and returns the value returned by the target function. + + Simply invoke `Thread.get_return_value()` on a thread object. + ```py + import thread + + worker = thread.Thread(target = my_target) + worker.get_return_value() + ``` + + + Exceptions Raised + + + + + + + + + + join + (timeout: float = None) -> None + + + + This halts the current thread execution until the thread completes or exceeds the timeout. + A None value for timeout will have the same effect as passing `float("inf")` as a timeout. + + Simply invoke `Thread.join()` on a thread object. + ```py + import thread + worker = thread.Thread(target = my_target) + worker.join(5) + worker.join() + ``` + + + Exceptions Raised + + + + + + + + + + kill + (yielding: bool = False, timeout: float = 5) -> bool + + + + This schedules the thread to be killed. + + If yielding is True, it halts the current thread execution until the thread is killed or the timeout is exceeded. + Similar to `Thread.join()`, a None value for timeout will have the same effect as passing `float("inf")` as a timeout. + + Simply invoke `Thread.kill()` on a thread object. + ```py + import thread + + worker = thread.Thread(target = my_target) + worker.kill(True, 10) + worker.kill(False) + worker.kill() + ``` + + + Exceptions Raised + + + + + This only schedules the thread to be killed, and does not immediately kill the thread. + + Meaning that if your `target` has a long `time.wait()` call, it will only be killed after it moves onto the next line. + + + + diff --git a/docs/src/pages/docs/v1/_meta.json b/docs/src/pages/docs/v1/_meta.json new file mode 100644 index 0000000..b45327b --- /dev/null +++ b/docs/src/pages/docs/v1/_meta.json @@ -0,0 +1,9 @@ +{ + "index": "Introduction", + "installation": "Installation", + "configuration": "Configuration", + "thread-class": "Thread Class", + "parallel-processing": "Parallel Processing", + "exceptions": "Exceptions", + "command-line-interface": "Command Line Interface" +} diff --git a/docs/src/pages/docs/v1/command-line-interface.mdx b/docs/src/pages/docs/v1/command-line-interface.mdx new file mode 100644 index 0000000..9826105 --- /dev/null +++ b/docs/src/pages/docs/v1/command-line-interface.mdx @@ -0,0 +1,191 @@ +import { Callout, Tabs, Steps } from "nextra/components"; + + + This documentation is still in development. Please report any issues + [here](https://github.com/python-thread/thread/issues). + + +# CLI Documentation + +Commands Line Interface (CLI) Documentation. + +## Installation + + + +### Prerequisites + +- Python 3.9+ + +### Installing + +#### Published Release + +We recommend using a packaging manager like `pip` or `poetry`. + + + ```sh pip install thread-cli ``` + ```sh pipx install thread-cli ``` + + ```sh poetry add thread-cli # OR poetry install thread-cli ``` + + + +#### Building From Source + +```sh +# Clone this repository +git clone https://github.com/python-thread/thread-cli + +# Install the upstream package +pip install -e . +``` + +#### Development + +```sh +# Clone this repository +git clone https://github.com/python-thread/thread-cli + +# Install poetry +pip install poetry + +# Install dependencies +poetry install +``` + +### Running the CLI + +Open your terminal and run: + +```sh +thread +``` + + + +## Getting started + +Try running the help command! + +```sh +thread -h/--help +``` + +## Log levels + +Thread CLI uses the [python logging library.](https://docs.python.org/3/library/logging.html) + +| Name | Level | +| :------: | :---: | +| NOTSET | 0 | +| DEBUG | 10 | +| INFO | 20 | +| WARN | 30 | +| ERROR | 40 | +| CRITICAL | 50 | + +## Commands + +List of commands + +### Documentation (thread docs) + +```sh +thread docs +``` + +Ran with no arguments and options, this command will attempt to open your browser to this MD file! +If unable, will instead print out the link. + +### Help (thread help) + +```sh +thread help +``` + +Ran with no arguments and options, this command will attempt to open your browser to the issue tracker! +If unable, will instead print out the link. + +### Report (thread report) + +```sh +thread report +``` + +Ran with no arguments and options, this command will attempt to open your browser to this MD file! +If unable, will instead print out the link. + +### Configuration (thread config ...) + +```sh +thread config +``` + +Coming soon. + +### Parallel Processing (thread process ...) + +```sh +thread process +``` + +Invokes the [ParallelProcessing](/docs/parallel-processing#importing-the-class) class. + +#### Examples + + + + Say you wanted to generate a list of the square of every number from 0 to 999. + ```sh + thread process 'lambda x: x**2' '[ i for i in range(1000) ]' + ``` + + This is functionally equivalent to: + ```py + import thread + + # Start processing + worker = thread.ParallelProcessing( + function = lambda x: x**2, + dataset = [ i for i in range(1000) ] + ) + worker.start() + worker.join() + + # Write output to "./output.json" + with open('./output.json', 'w') as output: + output.write(worker.results) + ``` + + + + Say you have a `csv` file at `./dirty_data.csv` and want to parse every line into a `clean` function in `./clean_data.py`. + ```sh + thread process 'clean_data:clean' './dirty_data.csv' + ``` + + This is functionally equivalent to: + ```py + import thread + from .clean_data import clean + + # Read files + with open('./dataset.csv', 'r') as dataset: + data = dataset.readlines() + + # Starts processing + worker = thread.ParallelProcessing( + function = clean, + dataset = data, + ) + worker.start() + worker.join() + + # Writes to "output.json" + with open('./output.json', 'w') as output: + output.write(worker.results) + ``` + + + diff --git a/docs/src/pages/docs/v1/configuration.mdx b/docs/src/pages/docs/v1/configuration.mdx new file mode 100644 index 0000000..2f4cf0d --- /dev/null +++ b/docs/src/pages/docs/v1/configuration.mdx @@ -0,0 +1,112 @@ +import { cn } from "@utils"; +import { Callout } from "nextra/components"; + +export function ArgumentWrapper({ children, className, ...props }) { + return ( +
+ {children} +
+ ); +} + +export function ArgumentBody({ children, className, ...props }) { + return ( +
+ {children} +
+ ); +} + +export function ArgumentExtra({ children, className, ...props }) { + return ( + + {children} + + ); +} + +# Configuration + +Documentation for configuration options. + +## Importing Settings + +This is how you import the settings. + +```py +from thread import Settings +``` + +## Configuration Options + + + + + GRACEFUL_EXIT_ENABLED + bool + (default: True) + + + + Graceful exit schedules non-daemonized threads to be killed with `Thread.kill()` when the program receives a `SIGINT` or `SIGTERM`. + + Simply invoke `Settings.set_graceful_exit(enabled)` to enable/disable graceful exit. + ```py + from thread import Settings + + Settings.get_graceful_exit(True) + Settings.get_graceful_exit(False) + ``` + + + This will only affect threads created from `thread.Thread`. + + + + + + + + + VERBOSITY + VerbosityLevel + (default: 'normal') + + + + Adjust what is printed to the terminal. + + This feature is only available in `thread ^v1.0.1` + + + Simply invoke `Setting.set_verbosity(level)` to set the verbosity level. + ```py + from thread import Settings + + Settings.set_verbosity(1) + Settings.set_verbosity('normal') + ``` + + `Settings.VERBOSITY` can be compared against strings and integers and other `Verbosity` objects. + ```py + from thread.utils.config import Verbosity, Settings + + # Mapping + Verbosity(0) == Verbosity('quiet') + Verbosity(1) == Verbosity('normal') + Verbosity(2) == Verbosity('verbose') + + # Comparison + Verbosity(0) < 1 # True + Verbosity(1) < 'verbose' # True + Verbosity(2) == 'verbose' # True + ``` + + + diff --git a/docs/src/pages/docs/v1/exceptions.mdx b/docs/src/pages/docs/v1/exceptions.mdx new file mode 100644 index 0000000..f1563a2 --- /dev/null +++ b/docs/src/pages/docs/v1/exceptions.mdx @@ -0,0 +1,128 @@ +import { Callout } from "nextra/components"; + +# Exceptions + + + Exceptions from Python's `threading` module are not included. For + information please refer to Python's [errors and exceptions + page](https://docs.python.org/3/tutorial/errors.html). + + +Don't have the thread library? [See here](./installation) for installing thread + +### Suppressing Exceptions + +When initializing a thread, you can parse a `suppress_errors` boolean. When a +exception is raised it is stored in the `Thread._errors` attribute. By default this +is set to false. + +For ignoring exceptions see [here](#ignoring-exceptions). + +```py +from thread import Thread + +def bad_function(): + raise RuntimeError('>:cc') + +# Suppress exceptions +thread1 = Thread( + target = bad_function, + suppress_errors = True +) +thread1.start() +thread1.join() +print(thread1._errors) # list[RuntimeError('>:cc')] +``` + +### Ignoring Exceptions + +When initializing a thread, you can parse a `ignore_errors` sequence. When a exception is +raised it will not be stored within `Thread._errors` or raised. By default this is set as an empty +tuple. + +For suppressing exceptions see [here](#suppressing-exceptions). + +```py +from thread import Thread + +def bad_function(): + raise RuntimeError('>:cc') + +# Ignore error +thread2 = Thread( + target = bad_function, + ignore_errors = [RuntimeError] +) +thread2.start() +thread2.join() +print(thread2._errors) # list[] +``` + +### Suppressing and Ignoring Errors + +It should be noted that these arguments are not exclusive of each other; you can both suppress and ignore errors. + +```py +# Non-ignored error with suppressing +thread4 = Thread( + target = bad_function, + ignore_errors = [ValueError], + suppress_errors = True +) +thread4.start() +thread4.join() +print(thread4._errors) # list[RuntimeError(':<<')] +``` + +## Exceptions + +The list of exceptions that can be thrown accompanied by common ways to resolve the error. + +### ThreadErrorBase + +This is the base exception class that all exceptions inherit from. + +### ThreadStillRunningError + +This exception is raised when you attempt to invoke a method that requires the thread to not be running, but the thread is currently running. + +> You can wait for the thread to terminate with [**Thread.join()**](.thread-class#methods) before invoking the method
+> You can check if the thread is running with [**Thread.is_alive()**](thread-class#methods) before invoking the method + +### ThreadNotRunningError + +This exception is raised when you attempt to invoke a method that requires the thread to be running, but the thread is currently not running. +This is raised when you attempt to invoke a method which requires the thread to be running, but isn't + +> You can run the thread with [**Thread.start()**](thread-class#methods) before invoking the method + +### ThreadNotInitializedError + +This exception is raised when you attempt to invoke a method that requires the thread to initialized, but the thread is not initialized. + +> You can initialize and start the thread with [**Thread.start()**](thread-class#methods) before invoking the method + +### HookRuntimeError + +This is raised when hooks raise an exception. + +This exception conforms to the rules given when a thread is ran with suppressed or ignored arguments. + +Example traceback + +```text +HookRuntimeError: Encountered runtime errors in hooks + +1. my_function +>>>>>>>>>> +/usr/home/proj/main.py:50 +ZeroDivisionError: +<<<<<<<<<< + +2. my_otherfunction +>>>>>>>>>> +ImportError: +<<<<<<<<<< +``` + +[See here](./thread-class) for how to using the `thread.Thread` class! diff --git a/docs/src/pages/docs/v1/index.mdx b/docs/src/pages/docs/v1/index.mdx new file mode 100644 index 0000000..9edb54f --- /dev/null +++ b/docs/src/pages/docs/v1/index.mdx @@ -0,0 +1,52 @@ +import { + LightningBoltIcon, + ExclamationTriangleIcon, + GearIcon, + MixIcon, + CodeIcon, +} from "@radix-ui/react-icons"; +import { Cards, Card } from "nextra/components"; + +# Introduction + +This is `thread`, a Python library which extends Python's built-in `threading` library. + +## Thread v1.1.1 + +You are viewing the documentation for the `v1.1.1` release.
+This is the most recent stable release of `thread`. + +## Quick Start + + + } + /> + } + /> + } + /> + } + /> + } + /> + } + /> + diff --git a/docs/src/pages/docs/v1/installation.mdx b/docs/src/pages/docs/v1/installation.mdx new file mode 100644 index 0000000..c481c46 --- /dev/null +++ b/docs/src/pages/docs/v1/installation.mdx @@ -0,0 +1,57 @@ +import { Tabs, Steps } from "nextra/components"; + +# Getting started with thread + +Thanks for using thread! I hope you find it useful for your projects. +Here's to you get started. + + + +### Prerequisites + +- Python 3.9+ + +### Installing + +#### Published Release + +We recommend using a packaging manager like `pip` or `poetry`. + + + ```sh pip install thread ``` + ```sh pipx install thread ``` + ```sh poetry add thread # OR poetry install thread ``` + + +#### Building From Source + +```sh +# Clone this repository +git clone https://github.com/python-thread/thread + +# Install the upstream package +pip install -e . +``` + +#### Development + +```sh +# Clone this repository +git clone https://github.com/python-thread/thread + +# Install poetry +pip install poetry + +# Install dependencies +poetry install +``` + +### Importing thread + +Import thread into your .py file + +```py +import thread +``` + + diff --git a/docs/src/pages/docs/v1/parallel-processing.mdx b/docs/src/pages/docs/v1/parallel-processing.mdx new file mode 100644 index 0000000..346f386 --- /dev/null +++ b/docs/src/pages/docs/v1/parallel-processing.mdx @@ -0,0 +1,672 @@ +import { cn } from "@utils"; +import { Callout, Steps, Tabs } from "nextra/components"; +import { CheckIcon, Cross2Icon, DotFilledIcon } from "@radix-ui/react-icons"; +import { + Statuses, + ThreadStatuses, + ThreadExceptions, +} from "@components/typedata"; + +export function ArgumentWrapper({ children, className, ...props }) { + return ( +
+ {children} +
+ ); +} + +export function ArgumentBody({ children, className, ...props }) { + return ( +
+ {children} +
+ ); +} + +export function ArgumentExtra({ children, className, ...props }) { + return ( + + {children} + + ); +} + +export function TabbedData({ type, keys = [] }) { + return ( + + {keys.map((key, i) => ( + + {type === "status" ? ThreadStatuses[key] : ThreadExceptions[key]} + + ))} + + ); +} + +export function Text({ children, className, ...props }) { + return ( +

+ {children} +

+ ); +} + +# Parallel Processing Documentation + +Documentation for `thread.ParallelProcessing`. + +## Why Parallel Processing? + +Parallel Processing is used to speed up the data processing of large datasets by splitting workflow into multiple threads. + +Traditionally, this is achieved with a for loop. + +```py +my_dataset = [] # Large dataset +def my_data_processor(Data_In) -> Data_Out: + ... + +processed_data = [] +for data in my_dataset: + processed_data = my_data_processor(data) + +print(processed_data) # Processed data +``` + +While this is simple and decent enough for a small dataset, this is not ideal for large datasets, especially when runtime matters. +By using `thread.ParallelProcessing` we can split the large dataset into multiple chunks and process each chunk simultaneously. + + + Parallel Processing is not True Parallel. Learn more + [here](/learn/cautions/parallelism). + + +## How It Works + + + +### Determine Thread Count + +The number of threads used is determined by the following formula: + +```py +thread_count = min(max_threads, len(dataset)) +``` + +This ensures that the number of threads used will always be less than or equal to the length of the dataset, +which prevents redundant threads to be initialized for small datasets. + +### Chunking + +The dataset is split as evenly as possible into chunks, preserving the order of data. +Chunks follow the structure: + +```py +chunks = [[1, 2, 3, ...], [50, 51, 52, ...], ...] +``` + +Let $N$ be the length of the dataset +and let $M$ be the number of threads. + +The individual chunk lengths decrease down the chunk list. +The length of each chunk will can be either $\lfloor{N/M + 0.5}\rfloor + 1$ or $N/M$. + + + The chunks generated are not generators, meaning they will exist alongside + `dataset` and take up memory. This will change to more memory-efficient + generators in `v1.0.1`. + + + + +## Importing the class + +```py +import thread +thread.ParallelProcessing + +from thread import ParallelProcessing +``` + +## Quick Start + +There are main 2 ways of initializing a parallel processing object. + +### On-Demand + +You can create a simple process by initializing `thread.ParallelProcessing` and passing the `function` and `dataset`. + +```py +def my_data_processor(Data_In) -> Data_Out: ... + +# Recommended way +my_processor = ParallelProcessing( + function = my_data_processor, + dataset = [i in range(0, n)] +) + +# OR +# Not the recommended way +my_processor = ParallelProcessing(my_data_processor, [i in range(0, n)]) +``` + +It can be ran by invoking the `start()` method + +```py +my_processor.start() +``` + +### Decorated Function + +You can decorate a function with `thread.processor` which uses `thread.ParallelProcessing`. +When the decorated function is invoked, it will automatically be ran in a new thread each time and return a `thread.ParallelProcessing` object. + +A decorated function's signature is overwritten, replacing the first argument to require a sequence of the `Data_In` type. + +```python +import thread + +@thread.processor +def my_target(Data_In, arg1, arg2, *, arg3: bool = False) -> Data_Out: ... + +dataset: Sequence[type[Data_In]] +worker = my_target(dataset, arg1, arg2, arg3 = True) # thread.ParallelProcessing() +``` + + + Did you know? + +Decorators can take in keyword arguments that change the behavior of the thread. + +```py +import thread + +@thread.processor(name = 'my_thread', suppress_errors = True) +def my_target(): ... +``` + +See the full list of arguments [here](#initialization) + + + +### Compatibility + +Data processing is usually achieved with external libraries like `pandas`. +However, there is no native support for dataset objects without both of the **\_\_len\_\_()** and **\_\_getitem\_\_()** methods. + +#### This is primarily because: + +- The `__len__()` method is used to determine the length of the dataset using the `len(dataset)` method. +- The `__getitem__()` method is used to access the dataset using the `dataset[index]` method. + +This is also why `thread.ParallelProcessing` does not support `Generator` objects or `Iterator` objects. + +#### Work-arounds + +The following outlines how you may use `thread.ParallelProcessing` with these libraries. + + + + + thread v1.0.1 and below + + + + We recommend first converting the dataset to a supported dataset type like a `list` or `tuple` before using `thread.ParallelProcessing`. + ```py + from thread import ParallelProcessing + + myDataFrame: ... + + compatibleDataset = [ ... ] # Convert to a supported dataset type + + process = ParallelProcessing(function = lambda x: x + 1, dataset = compatibleDataset) + ``` + + + + + + + + thread v1.1.0 and above + + + + We now non-natively support all most dataset types. + + We stopped explicitly supporting the `Sequence` type and instead now use `Protocol`s to check if `__len__()` or `__getitem__()` are implemented. + We also added context-specific optional/required `_length` and `_get_value` arguments when initializing `thread.ParallelProcessing`. + + You can find out more about the valid __length_ and _get_value_ arguments [here](#optional). + + ##### Mapping + Has `__len__` and `__getitem__` + Does not have `__len__` and `__getitem__` + Does not have `__len__` and has `__getitem__` + Has `__len__` and does not have `__getitem__` + +
+ **_length** Required + **_get_value** Required +
+ + ##### Example + Now you do not have to pre-convert the dataset to a supported dataset type. + + ```py + from thread import ParallelProcessing + + myDataFrame: ... + + process = ParallelProcessing( + function = lambda x: x + 1, + dataset = myDataFrame, + _length = myDataFrame.getLength(), + _get_value = lambda d, i: d.getIndex(i) + ) + ``` + + + Static type checking will reflect the whether `_length` and `_get_value` are required or optional depending on the dataset type. + + +
+
+ +## Initialization + +This will cover the required and optional arguments initializing a parallel process. + +### Required + + + + + function + (Data_In, *args, **kwargs) -> Data_Out + + + + This should be a function that takes in a data from the `dataset` with/without overloads and returns Data_Out. + + Arguments and keyword arguments excluding the first argument parsed to the `function` can be parsed through `args` and `kwargs`. + `Data_Out` will be written to the generated thread's `Thread._returned_value` and can be accessed via `ParallelProcessing.results` or `ParallelProcessing.get_return_values()`. + + `function` can be parsed as the first argument to `ParallelProcessing.__init__()`, although it is recommended to use only keyword arguments. + ```py + import thread + + thread.ParallelProcessing(lambda x: x + 1, []) + thread.ParallelProcessing(function = lambda x: x + 1, dataset = []) + ``` + + + Best Practices + + While you can use a lambda function, it is best to use a normal function for your LSP/Linter to infer types. + ```py + from thread import ParallelProcessing + + worker = ParallelProcessing(function = lambda x: x + 1, dataset = [1, 2, 3]) + worker.start() + worker.join() + + worker.results # This will be inferred as Unknown by your LSP/Linter + ``` + ```py + from thread import ParallelProcessing + + def my_target(x: int) -> int: + return x + 1 + + worker = ParallelProcessing(function = my_target, dataset = [1, 2, 3]) + worker.start() + worker.join() + + worker.results # This will be inferred as a list[int] + ``` + + + + + + + + + dataset + Dataset[Data_In] + + + + This should be an interable sequence of data parsed as the first argument to `function`. + + + This can be of any type if you pass the according `_length` and `_get_value` arguments in **v1.1.0+**. See [here](#compatibility) for more details. + + + ```py + import thread + + def my_function(x: int) -> int: + ... + + thread.ParallelProcessing(function = my_function, dataset = [1, 2, 3]) + thread.ParallelProcessing(function = my_function, dataset = ('hi')) # This will be highlighted by your LSP/Linter + ``` + + + + +### Optional + + + + + max_threads + int + (default: 8) + + + + This is the maximum number of threads that will be created by `thread.ParallelProcessing`. + + + This value is not always the number of threads created. See [here](#determine-thread-count) for more details. + + + + + + + + + _get_value + (Dataset, int) -> Data_Out + (default: None) + + + + This is only available in v1.1.0+ + This can be a **required** argument depending on the `dataset` type. See [here](#compatibility) for more details. + + This is invoked every time a value is retrieved from the dataset. + ```py + from thread import ParallelProcessing + + dataset: MyDatasetType = ... + + ParallelProcessing( + function = my_function, + dataset = dataset, + _get_value = lambda d, index: d[index], + ) + + ParallelProcessing( + function = my_function, + dataset = dataset, + _get_value = lambda d, index: d.getIndex(index), + ) + ``` + + + + + + + + _length + int | (Dataset) -> Data_In + (default: dataset.__len__) + + + + This is only available in v1.1.0+ + This can be a **required** argument depending on the `dataset` type. See [here](#compatibility) for more details. + + This is the length of the dataset that will be processed by `thread.ParallelProcessing`. + + This is invoked only once when `thread.ParallelProcessing` is initialized. + ```py + from thread import ParallelProcessing + + dataset: MyDatasetType = ... + + ParallelProcessing( + function = my_function, + dataset = dataset, + _length = 5, + ) + + def get_length(dataset: MyDatasetType) -> int: ... + ParallelProcessing( + function = my_function, + dataset = dataset, + _length = get_length, + ) + ``` + + + + + + + + *args / **kwargs + (default: None) + Any / Mapping[str, Any] + + + + These overloads are parsed to `thread.Thread.__init__()`, then `threading.Thread.__init__()`. + + + If kwargs contain an argument named `args`, then it will automatically be removed from kwargs and joined with `ParallelProcessing.__init__().args`. + + + See [`thread.Thread` documentation](/docs/thread-class#optional) for more details.
+ See [`threading` documentation](https://docs.python.org/3/library/threading.html#threading.Thread) for more details. + +
+
+ +## Properties + +### Attributes + +These are attributes of `thread.ParallelProcessing` class. + + + + + results + List[Data_Out] + + + + This is a list of the data that was returned by the `function` in + `thread.ParallelProcessing`. + + + + + + + + + + status + thread.ThreadStatus + + + + This is the current status of the thread. + + + These Are The Possible Values + + + + + + +### Methods + +These are methods of `thread.ParallelProcessing` class. + + + + + start + () -> None + + + + This starts the processing. + + Simply invoke `ParallelProcessing.start()` on a ParallelProcessing object. + ```py + import thread + + worker = thread.ParallelProcessing(function = my_func, dataset = [1, 2, 3]) + worker.start() + ``` + + + Exceptions Raised + + + + + + + + + + is_alive + () -> bool + + + + This indicates whether the threads are still alive. + + Simply invoke `ParallelProcessing.is_alive()` on a ParallelProcessing object. + ```py + import thread + + worker = thread.ParallelProcessing(function = my_func, dataset = [1, 2, 3]) + worker.is_alive() + ``` + + + Exceptions Raised + + + + + + + + + + get_return_values + () -> List[Data_Out] + + + + This halts the current thread execution until the processing completes and returns the value returned by `function`. + + Simply invoke `ParallelProcessing.get_return_values()` on a thread object. + ```py + import thread + + worker = thread.ParallelProcessing(function = my_func, dataset = [1, 2, 3]) + worker.get_return_values() + ``` + + + Exceptions Raised + + + + + + + + + + join + (timeout: float = None) -> bool + + + + This halts the current thread execution until the `ParallelProcessing` completes or exceeds the timeout. + + A None value for timeout will have the same effect as passing `float("inf")` as a timeout. + The boolean returned by `ParallelProcessing.join()` is `True` if the threads complete within the timeout and `False` if otherwise. + + Simply invoke `ParallelProcessing.join()` on a ParallelProcessing object. + ```py + import thread + worker = thread.ParallelProcessing(function = my_func, dataset = [1, 2, 3]) + worker.join(5) + worker.join() + ``` + + + Exceptions Raised + + + + + + + + + + kill + (yielding: bool = False, timeout: float = 5) -> bool + + + + This schedules the threads to be killed. + + If yielding is True, it halts the current thread execution until the threads are killed or the timeout is exceeded. + Similar to `ParallelProcessing.join()`, a None value for timeout will have the same effect as passing `float("inf")` as a timeout. + + Simply invoke `ParallelProcessing.kill()` on a ParallelProcessing object. + ```py + import thread + + worker = thread.ParallelProcessing(function = my_func, dataset = [1, 2, 3]) + worker.kill(True, 10) + worker.kill(False) + worker.kill() + ``` + + + Exceptions Raised + + + + + This only schedules the threads to be killed, and does not immediately kill the threads. + + Meaning that if `function` has a long `time.wait()` call, it will only be killed after it moves onto the next line. + + + + diff --git a/docs/src/pages/docs/v1/thread-class.mdx b/docs/src/pages/docs/v1/thread-class.mdx new file mode 100644 index 0000000..daa535c --- /dev/null +++ b/docs/src/pages/docs/v1/thread-class.mdx @@ -0,0 +1,635 @@ +import { cn } from "@utils"; +import { Tabs, Callout } from "nextra/components"; +import { + Statuses, + ThreadStatuses, + ThreadExceptions, +} from "@components/typedata"; + +export function ArgumentWrapper({ children, className, ...props }) { + return ( +
+ {children} +
+ ); +} + +export function ArgumentBody({ children, className, ...props }) { + return ( +
+ {children} +
+ ); +} + +export function ArgumentExtra({ children, className, ...props }) { + return ( + + {children} + + ); +} + +export function TabbedData({ type, keys = [] }) { + return ( + + {keys.map((key, i) => ( + + {type === "status" ? ThreadStatuses[key] : ThreadExceptions[key]} + + ))} + + ); +} + +# Thread Class Documentation + +Documentation for `thread.Thread`. + +## Importing the class + +Here are some ways of importing the `Thread` class. + +```python +import thread +thread.Thread + +from thread import Thread +``` + +## Quick Start + +There are main 2 ways of initializing a thread. + +### On-Demand + +You can create a simple thread by initializing `thread.Thread` and passing the `target` function. + +```python +def my_target(): ... + +# Recommended way +my_thread = Thread( + target = my_target +) + +# OR +# Not the recommended way +my_thread = Thread(my_target) +``` + +A thread can be ran by invoking the `start()` method + +```py +my_thread.start() +``` + +### Decoratored Function + +You can decorate a function with `thread.threaded` which uses `thread.Thread`. +When the decorated function is invoked, it will automatically be ran in a new thread each time and return a `thread.Thread` object. + +```python +import thread + +@thread.threaded +def my_target(): ... + +worker = my_target() # thread.Thread() +``` + + + Did you know? + +Decorators can take in keyword arguments that change the behavior of the thread. + +```py +import thread + +@thread.threaded(name = 'my_thread', suppress_errors = True) +def my_target(): ... +``` + +See the full list of arguments [here](#initialization) + + + +## Initialization + +This will cover the required and optional arguments initializing a thread. + +### Required + + + + + target + (*args, **kwargs) -> Data_Out + + + + This should be a function which takes in any arguments and returns anything. + + Any arguments and keyword arguments parsed to the `target` function can be parsed through `args` and `kwargs`. + `Data_Out` will be written to `Thread._returned_value` and can be accessed via `Thread.result` or `Thread.get_return_value()`. + + `target` can be parsed as the first argument to `Thread.__init__()`, although it is recommended to use only keyword arguments. + ```py + import thread + + thread.Thread(lambda x: x + 1) + thread.Thread(target = lambda x: x + 1) + ``` + + + Best Practices + + While you can use a lambda function, it is best to use a normal function for your LSP/Linter to infer types. + ```py + from thread import Thread + + worker = Thread(target = lambda x: x + 1) + worker.start() + worker.join() + + worker.result # This will be inferred as Unknown by your LSP/Linter + ``` + ```py + from thread import Thread + + def my_target(x: int) -> int: + return x + 1 + + worker = Thread(target = my_target) + worker.start() + worker.join() + + worker.result # This will be inferred as int + ``` + + + + + +### Optional + + + + + args + Sequence[Data_In] + (default: ()) + + + + This should be an iterable sequence of arguments parsed to the `target` function. + + For example: + ```py + import thread + + thread.Thread(target = my_target, args = ('foo', 'bar')) + thread.Thread(target = my_target, args = ['foo', 'bar']) + ``` + + + Args used in `Thread.__init__()` cannot offer static type checking. [Learn More](/learn/cautions/type-safety) + + + + + + + + + kwargs + Mapping[str, Data_In] + (default: {}) + + + + This should be a mapping of kwargs passed to the `target` function. + + For example: + ```py + import thread + + thread.Thread(target = my_target, kwargs = {'foo': 'bar'}) + thread.Thread(target = my_target, kwargs = dict(foo = 'bar')) + ``` + + + Kwargs used in `Thread.__init__()` cannot offer static type checking. [Learn More](/learn/cautions/type-safety) + + + + + + + + + ignore_errors + Sequence[type[Exception]] + (default: ()) + + + + This should be an iterable sequence of all types of exceptions to ignore. + Ignored errors are not propagated or logged to `Thread.errors`. + + The `Exception` class can be parsed to ignore all exceptions. + + For example: + ```py + import thread + + # This ignores all exceptions + # thread.errors = [] + # hooks begin execution + thread.Thread(target = raiseRuntimeError, ignore_errors = (Exception,)) + + # This propagates the exception + # thread.errors = [RuntimeError] + # thread is killed + thread.Thread(target = raiseRuntimeError, ignore_errors = [TypeError]) + + # This ignores RuntimeError + # thread.errors = [] + # hooks begin execution + thread.Thread(target = raiseRuntimeError, ignore_errors = [RuntimeError]) + ``` + + + Ignored exceptions may cause unintended skipped code execution. + ```py + import thread + + def my_target(): + print('Before raise') + raise Exception('oh no!') + print('After raise') + + thread.Thread(target = my_target, ignore_errors = (Exception,)) + thread.start() + + # > Before raise + # Program End + ``` + + + + + + + + + suppress_errors + bool + (default: False) + + + + This should be a boolean indicating whether non-ignored exceptions will be propagated. + + + Non-ignored exceptions will be logged to `Thread.errors` without propagating. + + + ```py + import thread + + # Thread.errors = [RuntimeError] + # hooks begin execution + thread.Thread(target = raiseRuntimeError, suppress_errors = True) + ``` + + + + + + + + name + str + (default: None) + + + + This should be a string name of the thread. + + **_By default, a unique name is constructed of the form "Thread-N" where N is a small decimal number, or "Thread-N (target)" where "target" is target.\_\_name\_\_ if the target argument is specified._** + ~ Python threading docs. + + ```py + import thread + + thread.Thread(target = my_target, name = 'my_thread') + ``` + + See [`threading` documentation](https://docs.python.org/3/library/threading.html#threading.Thread) for more details. + + + + + + + + daemon + bool + (default: False) + + + + This should be a boolean indicating whether the thread should be a daemon thread. + + See [`threading` documentation](https://docs.python.org/3/library/threading.html#threading.Thread) for more details. + + + + + + + + *args / **kwargs + (default: None) + Any / Mapping[str, Any] + + + + These overloads are parsed to `threading.Thread.__init__()` + + See [`threading` documentation](https://docs.python.org/3/library/threading.html#threading.Thread) for more details. + + + + +## Properties + +### Attributes + +These are attributes of `thread.Thread` class. + + + + + result + Data_Out + + + + This is what is returned from the target function. + + + Exceptions Raised + + + + + + + + + + status + thread.ThreadStatus + + + + This is the current status of the thread. + + + These Are The Possible Values + + + + + + + + + + errors + List[Exception] + + + + This is the list of errors raised by the thread. + + Only non-ignored errors are logged to this list. + ```py + import thread + + worker = thread.Thread(target = my_target) + worker.errors + ``` + + + + + + + + hooks + List[(Data_Out) -> Any | None] + + + + This is the list of hooks added to the thread. + + Hooks will be executed in the same order as they are added to the list. + ```py + import thread + + worker = thread.Thread(target = my_target) + worker.hooks + ``` + + + + +### Methods + +These are methods of `thread.Thread` class. + + + + + start + () -> None + + + + This starts the thread. + + Simply invoke `Thread.start()` on a thread object. + ```py + import thread + + worker = thread.Thread(target = my_target) + worker.start() + ``` + + + Exceptions Raised + + + + + + + + + + is_alive + () -> bool + + + + This indicates whether the thread is still alive. + + Simply invoke `Thread.is_alive()` on a thread object. + ```py + import thread + + worker = thread.Thread(target = my_target) + worker.is_alive() + ``` + + + Exceptions Raised + + + + + + + + + + add_hook + ((Data_Out) -> Any | None) -> None + + + + This adds a hook to the thread. + + Hooks are invoked in the worker thread after the thread successfully completes, passing `Data_Out` as the first argument. + If a hook errors, the exception is recorded to `Thread.errors`, and is only propagated in the main thread when `Thread.join()`, `Thread.get_return_value()` or `Thread.result` is invoked. + + Simply invoke `Thread.add_hook(hook)` on a thread object. + ```py + import thread + + worker = thread.Thread(target = lambda x: x+1, args = (2,)) + worker.add_hook(lambda x: print(f'Worker Hook: {x}') + worker.start() + + # > Worker Hook: 3 + # Program ends + ``` + + + Exceptions Raised + + + + + + + + + + get_return_value + () -> Data_Out + + + + This halts the current thread execution until the thread completes and returns the value returned by the target function. + + Simply invoke `Thread.get_return_value()` on a thread object. + ```py + import thread + + worker = thread.Thread(target = my_target) + worker.get_return_value() + ``` + + + Exceptions Raised + + + + + + + + + + join + (timeout: float = None) -> bool + + + + This halts the current thread execution until the thread completes or exceeds the timeout. + + A None value for timeout will have the same effect as passing `float("inf")` as a timeout. + The boolean returned by `Thread.join()` is `True` if the thread completed within the timeout and `False` if otherwise. + + Simply invoke `Thread.join()` on a thread object. + ```py + import thread + worker = thread.Thread(target = my_target) + worker.join(5) + worker.join() + ``` + + + Exceptions Raised + + + + + + + + + + kill + (yielding: bool = False, timeout: float = 5) -> bool + + + + This schedules the thread to be killed. + + If yielding is True, it halts the current thread execution until the thread is killed or the timeout is exceeded. + Similar to `Thread.join()`, a None value for timeout will have the same effect as passing `float("inf")` as a timeout. + + Simply invoke `Thread.kill()` on a thread object. + ```py + import thread + + worker = thread.Thread(target = my_target) + worker.kill(True, 10) + worker.kill(False) + worker.kill() + ``` + + + Exceptions Raised + + + + + This only schedules the thread to be killed, and does not immediately kill the thread. + + Meaning that if your `target` has a long `time.wait()` call, it will only be killed after it moves onto the next line. + + + + diff --git a/docs/src/pages/index.mdx b/docs/src/pages/index.mdx new file mode 100644 index 0000000..11f857b --- /dev/null +++ b/docs/src/pages/index.mdx @@ -0,0 +1,119 @@ +--- +title: Thread v2.0.2 +--- + +import Link from "next/link"; + +import { ChevronDownIcon, ArrowRightIcon } from "@radix-ui/react-icons"; +import { PackageManager } from "@components/typewriter"; + +export function SmoothScroll({ scrollTo, children, ...props }) { + return ( + + ); +} + +export function Feature({ + title, + description, + version = false, + href = false, + ...props +}) { + return ( +
+ {version ? ( +

+ {version} +

+ ) : ( +
+ )} +

{title}

+

+ {description} +

+ {href && ( + + Read More + + + )} +
+ ); +} + +
+ +{/* Section 1 */} + +
+
+

+ + Thread + + - v2.0.2 +

+
+ +
+ + Get Started + +
+ + + +
+ +{/* Section 2 */} + +
+
+

Features

+
+ + +
+
+
+ +
diff --git a/docs/src/pages/learn/_meta.json b/docs/src/pages/learn/_meta.json new file mode 100644 index 0000000..75ec243 --- /dev/null +++ b/docs/src/pages/learn/_meta.json @@ -0,0 +1,15 @@ +{ + "index": { + "title": "Introduction" + }, + "examples": "", + "python_thread": { + "title": "Learn Python Threading" + }, + "thread": { + "title": "Learn Thread" + }, + "cautions": { + "title": "Cautions" + } +} diff --git a/docs/src/pages/learn/cautions.mdx b/docs/src/pages/learn/cautions.mdx new file mode 100644 index 0000000..f23d68b --- /dev/null +++ b/docs/src/pages/learn/cautions.mdx @@ -0,0 +1,19 @@ +import { LightningBoltIcon, GridIcon } from "@radix-ui/react-icons"; +import { Card, Cards } from "nextra/components"; + +# Cautions + +These are some what should be considered when using **thread**. + + + } + /> + } + /> + diff --git a/docs/src/pages/learn/cautions/_meta.json b/docs/src/pages/learn/cautions/_meta.json new file mode 100644 index 0000000..8a766fa --- /dev/null +++ b/docs/src/pages/learn/cautions/_meta.json @@ -0,0 +1,3 @@ +{ + "type-safety": "Type Safety" +} diff --git a/docs/src/pages/learn/cautions/parallelism.mdx b/docs/src/pages/learn/cautions/parallelism.mdx new file mode 100644 index 0000000..3113402 --- /dev/null +++ b/docs/src/pages/learn/cautions/parallelism.mdx @@ -0,0 +1,44 @@ +import { Callout } from "nextra/components"; + +# Parallelism + +This is a Python intended default behaviour. + +### The Scope + +At present, this affects everything in **thread**. + +### Why Is This So? + +This is due to Python's **GIL** (Global Interpreter Lock). +At present, we only extend the featureset for the built-in `threading` library which means we are limited and bound by the **GIL**. + +Check out this video by [Tech With Tim](https://www.youtube.com/@TechWithTim) for a more in-depth explanation: + +
+