From 3c922a3ff8fa58fcc4d2d35ce6fac9cd4dd4165c Mon Sep 17 00:00:00 2001 From: AlexNg Date: Sun, 26 May 2024 00:04:51 +0800 Subject: [PATCH 01/22] docs: Ported docs here from the other repo MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Ref: https://github.com/python-thread/thread.ngjx.org/issues/59 Closes: #89 Signed-off-by: AlexNg Co-authored-by: Jun Xiang (カエデ) Co-authored-by: ShiroTohu Co-authored-by: dependabot[bot] --- docs/.eslintrc.json | 19 + docs/.gitignore | 36 + docs/LICENSE | 28 + docs/README.md | 3 + docs/next-sitemap.config.js | 6 + docs/next.config.js | 37 + docs/package-lock.json | 12370 ++++++++++++++++ docs/package.json | 37 + docs/postcss.config.js | 6 + docs/public/favicon-dark.ico | Bin 0 -> 23462 bytes docs/public/favicon-dark.png | Bin 0 -> 1306 bytes docs/public/favicon-dark.svg | 4 + docs/public/favicon.ico | Bin 0 -> 23462 bytes docs/public/favicon.png | Bin 0 -> 1936 bytes docs/public/favicon.svg | 4 + 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docs/src/utils.tsx | 14 + docs/tailwind.config.ts | 21 + docs/theme.config.tsx | 98 + docs/tsconfig.json | 27 + 63 files changed, 17144 insertions(+) create mode 100644 docs/.eslintrc.json create mode 100644 docs/.gitignore create mode 100644 docs/LICENSE create mode 100644 docs/README.md create mode 100644 docs/next-sitemap.config.js create mode 100644 docs/next.config.js create mode 100644 docs/package-lock.json create mode 100644 docs/package.json create mode 100644 docs/postcss.config.js create mode 100644 docs/public/favicon-dark.ico create mode 100644 docs/public/favicon-dark.png create mode 100644 docs/public/favicon-dark.svg create mode 100644 docs/public/favicon.ico create mode 100644 docs/public/favicon.png create mode 100644 docs/public/favicon.svg create mode 100644 docs/public/pointing.jpg create mode 100644 docs/public/socialcard-black.jpg create mode 100644 docs/public/socialcard-white.jpg create mode 100644 docs/src/components/typedata.tsx create mode 100644 docs/src/components/typewriter.tsx create mode 100644 docs/src/pages/404.mdx create mode 100644 docs/src/pages/_app.mdx create mode 100644 docs/src/pages/_meta.json create mode 100644 docs/src/pages/about.mdx create mode 100644 docs/src/pages/docs/_meta.json create mode 100644 docs/src/pages/docs/index.mdx create mode 100644 docs/src/pages/docs/latest/_meta.json create mode 100644 docs/src/pages/docs/latest/command-line-interface.mdx create mode 100644 docs/src/pages/docs/latest/concurrent-processing.mdx create mode 100644 docs/src/pages/docs/latest/configuration.mdx create mode 100644 docs/src/pages/docs/latest/exceptions.mdx create mode 100644 docs/src/pages/docs/latest/index.mdx create mode 100644 docs/src/pages/docs/latest/installation.mdx create mode 100644 docs/src/pages/docs/latest/thread-class.mdx create mode 100644 docs/src/pages/docs/v1/_meta.json create mode 100644 docs/src/pages/docs/v1/command-line-interface.mdx create mode 100644 docs/src/pages/docs/v1/configuration.mdx create mode 100644 docs/src/pages/docs/v1/exceptions.mdx create mode 100644 docs/src/pages/docs/v1/index.mdx create mode 100644 docs/src/pages/docs/v1/installation.mdx create mode 100644 docs/src/pages/docs/v1/parallel-processing.mdx create mode 100644 docs/src/pages/docs/v1/thread-class.mdx create mode 100644 docs/src/pages/index.mdx create mode 100644 docs/src/pages/learn/_meta.json create mode 100644 docs/src/pages/learn/cautions.mdx create mode 100644 docs/src/pages/learn/cautions/_meta.json create mode 100644 docs/src/pages/learn/cautions/parallelism.mdx create mode 100644 docs/src/pages/learn/cautions/type-safety.mdx create mode 100644 docs/src/pages/learn/examples.mdx create mode 100644 docs/src/pages/learn/examples/_meta.json create mode 100644 docs/src/pages/learn/examples/processing.mdx create mode 100644 docs/src/pages/learn/examples/threading.mdx create mode 100644 docs/src/pages/learn/index.mdx create mode 100644 docs/src/pages/learn/python_thread/_meta.json create mode 100644 docs/src/pages/learn/python_thread/index.mdx create mode 100644 docs/src/pages/learn/thread/_meta.json create mode 100644 docs/src/pages/learn/thread/index.mdx create mode 100644 docs/src/styles/globals.css create mode 100644 docs/src/types/environment.d.ts create mode 100644 docs/src/utils.tsx create mode 100644 docs/tailwind.config.ts create mode 100644 docs/theme.config.tsx create mode 100644 docs/tsconfig.json diff --git a/docs/.eslintrc.json b/docs/.eslintrc.json new file mode 100644 index 0000000..f3c23a4 --- /dev/null +++ b/docs/.eslintrc.json @@ -0,0 +1,19 @@ +{ + "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/.gitignore b/docs/.gitignore new file mode 100644 index 0000000..fd3dbb5 --- /dev/null +++ b/docs/.gitignore @@ -0,0 +1,36 @@ +# See https://help.github.com/articles/ignoring-files/ for more about ignoring files. + +# dependencies +/node_modules +/.pnp +.pnp.js +.yarn/install-state.gz + +# testing +/coverage + +# 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/docs/LICENSE b/docs/LICENSE new file mode 100644 index 0000000..afae473 --- /dev/null +++ b/docs/LICENSE @@ -0,0 +1,28 @@ +BSD 3-Clause License + +Copyright (c) 2023, Jun Xiang + +Redistribution and use in source and binary forms, with or without +modification, are permitted provided that the following conditions are met: + +1. Redistributions of source code must retain the above copyright notice, this + list of conditions and the following disclaimer. + +2. Redistributions in binary form must reproduce the above copyright notice, + this list of conditions and the following disclaimer in the documentation + and/or other materials provided with the distribution. + +3. Neither the name of the copyright holder nor the names of its + contributors may be used to endorse or promote products derived from + this software without specific prior written permission. + +THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" +AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE +IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE +DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE +FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL +DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR +SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER +CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, +OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE +OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. diff --git a/docs/README.md b/docs/README.md new file mode 100644 index 0000000..53a28e0 --- /dev/null +++ b/docs/README.md @@ -0,0 +1,3 @@ +# [Thread Documentation Website](https://thread.ngjx.org) + +Currently work in progress, please be patient! diff --git a/docs/next-sitemap.config.js b/docs/next-sitemap.config.js new file mode 100644 index 0000000..dbbddf5 --- /dev/null +++ b/docs/next-sitemap.config.js @@ -0,0 +1,6 @@ +/** @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..2a98deb --- /dev/null +++ b/docs/next.config.js @@ -0,0 +1,37 @@ +/** @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", + "postcss": 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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..54d3a00 --- /dev/null +++ b/docs/src/pages/_app.mdx @@ -0,0 +1,6 @@ +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..6b3e079 --- /dev/null +++ b/docs/src/pages/about.mdx @@ -0,0 +1,61 @@ +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..8948c1a --- /dev/null +++ b/docs/src/pages/docs/index.mdx @@ -0,0 +1,163 @@ +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..65a4904 --- /dev/null +++ b/docs/src/pages/docs/latest/command-line-interface.mdx @@ -0,0 +1,226 @@ +import { Callout, Tabs, Steps } from 'nextra/components' + + + + + This documentation is still in development. + Please report any issues [here](https://github.com/python-thread/thread.ngjx.org/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..6fa34e7 --- /dev/null +++ b/docs/src/pages/docs/latest/concurrent-processing.mdx @@ -0,0 +1,601 @@ +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..cd2bd43 --- /dev/null +++ b/docs/src/pages/docs/latest/configuration.mdx @@ -0,0 +1,105 @@ +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..1c5d83a --- /dev/null +++ b/docs/src/pages/docs/latest/exceptions.mdx @@ -0,0 +1,140 @@ +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..cdb6683 --- /dev/null +++ b/docs/src/pages/docs/latest/index.mdx @@ -0,0 +1,29 @@ +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..5c3b929 --- /dev/null +++ b/docs/src/pages/docs/latest/installation.mdx @@ -0,0 +1,80 @@ +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..8c38d79 --- /dev/null +++ b/docs/src/pages/docs/latest/thread-class.mdx @@ -0,0 +1,604 @@ +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..65a4904 --- /dev/null +++ b/docs/src/pages/docs/v1/command-line-interface.mdx @@ -0,0 +1,226 @@ +import { Callout, Tabs, Steps } from 'nextra/components' + + + + + This documentation is still in development. + Please report any issues [here](https://github.com/python-thread/thread.ngjx.org/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..cd2bd43 --- /dev/null +++ b/docs/src/pages/docs/v1/configuration.mdx @@ -0,0 +1,105 @@ +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..1c5d83a --- /dev/null +++ b/docs/src/pages/docs/v1/exceptions.mdx @@ -0,0 +1,140 @@ +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..63b7a0d --- /dev/null +++ b/docs/src/pages/docs/v1/index.mdx @@ -0,0 +1,29 @@ +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..5c3b929 --- /dev/null +++ b/docs/src/pages/docs/v1/installation.mdx @@ -0,0 +1,80 @@ +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..5681daf --- /dev/null +++ b/docs/src/pages/docs/v1/parallel-processing.mdx @@ -0,0 +1,636 @@ +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..159fbd0 --- /dev/null +++ b/docs/src/pages/docs/v1/thread-class.mdx @@ -0,0 +1,606 @@ +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..ea55409 --- /dev/null +++ b/docs/src/pages/index.mdx @@ -0,0 +1,70 @@ +--- +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..f601487 --- /dev/null +++ b/docs/src/pages/learn/cautions.mdx @@ -0,0 +1,12 @@ +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..9d410f0 --- /dev/null +++ b/docs/src/pages/learn/cautions/parallelism.mdx @@ -0,0 +1,47 @@ +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: + +
+