From cde6e27ef9f6a3b6aa57b3f48e11835902177823 Mon Sep 17 00:00:00 2001 From: chouchongYHMing <121396869+chouchongYHMing@users.noreply.github.com> Date: Mon, 9 Sep 2024 22:35:39 +0800 Subject: [PATCH] Add: add proposal of i18n tool which is developed for ospp 2024 project --- docs/i18n-docs.md | 187 +++++++++++++++++++++++++++++ docs/images/i18n-tool-codeG.png | Bin 0 -> 72586 bytes docs/images/i18n-tool-overview.png | Bin 0 -> 468216 bytes docs/images/i18n-tool-scan.png | Bin 0 -> 254773 bytes docs/images/i18n-tool-upLoc.png | Bin 0 -> 78067 bytes 5 files changed, 187 insertions(+) create mode 100644 docs/i18n-docs.md create mode 100644 docs/images/i18n-tool-codeG.png create mode 100644 docs/images/i18n-tool-overview.png create mode 100644 docs/images/i18n-tool-scan.png create mode 100644 docs/images/i18n-tool-upLoc.png diff --git a/docs/i18n-docs.md b/docs/i18n-docs.md new file mode 100644 index 0000000..7882cdf --- /dev/null +++ b/docs/i18n-docs.md @@ -0,0 +1,187 @@ +--- +title: Automation tools for i18n and translate +authors: +- "@chouchongYHMing" # Authors' github accounts here. +reviewers: +- TBD +approvers: +- "@warjiang" + +creation-date: 2024-08-19 + +--- + +# Automation tools for i18n and translate + +## Summary + +Internationalization (also called i18n) is essential for software that aims to become global. During the development of the Karmada dashboard, we encountered inefficiencies, errors, and lack of engineering rigor in manually maintaining translation content (also called locales files). To solve these issues and meet the i18n needs of the Karmada dashboard project, we developed a ready-to-use automated i18n tool. + + + +## Motivation + +During the development of the Karmada dashboard, early on, we maintained the locales files manually. If new Chinese content was added to the code, it required to replace by the corresponding i18n keys and functions. After that, a mapping of code points to the corresponding Chinese content was added to the Chinese locales file. Then translating the Chinese content and inserting a mapping of code points to the translated content in the locales files of the respective languages. When the project was small and the amount of Chinese characters was limited, the cost of manual maintenance was relatively acceptable. However, as the project scale expanded and the number of Chinese characters increased, the cost of manually maintaining locales files rose exponentially. Therefore, an automated i18n tool was needed to meet the i18n requirements of the Karmada dashboard. In the open source community, it was hard to find a ready-to-use i18n tool that perfectly supported the i18n needs of the Karmada dashboard. Therefore, we aimed to develop an automated i18n tool which is based on the perspective of the Karmada dashboard's i18n requirements, to satisfy the specific i18n needs of the Karmada dashboard. + + +### Goals + +1. Extract Chinese characters from the code and automatically replace them with calls to i18n functions +2. Automatically maintain multilingual locales dictionary files. +3. Support integration with third-party translation capabilities to automatically translate Chinese copy into the target language. + + + +### Non-Goals + +1. Developers need to manually add the styles of Chinese characters types that are not already supported by the tool when encountering them. +2. Character length inconsistency encountered in multilingual display. + + + +## Proposal + + +### User Stories (Optional) + + + +#### Story 1 +As a developer of the Karmada dashboard, when introducing new features with a significant amount of new Chinese content, there is an automated tool that can extract, translate, and generate corresponding locale files for this new content with a single click, thereby reducing the maintenance cost of i18n. The community administrator provides the corresponding i18n translation rules for specific descriptions. In automatic translation, you can preferentially use the i18n translation rules provided by the community administrator and combine them with automatic translation to improve the overall effect of i18n translation. + + +#### Story 2 +As software developers, they can improve the code for each module. The executable code for each module is stored in the 'src' directory. Developers simply need to open each file to directly modify and enhance it. When they want to develop new tools in the future and need to use these modules, they can directly reference them, avoiding redundant production. + + +### Notes/Constraints/Caveats (Optional) + + + +### Risks and Mitigations + +The i18n tool modifies the original files, potentially causing irreversible changes. Developers need to save a version of the previous generation code before using it. + + +## Design Details +The overall i18n automation tool comprises two main modules: the translation module and the command-line module. The translation module is responsible for interfacing with mainstream translation APIs, and its interface-oriented programming approach ensures good extensibility. If a better translation implementation is invented in the future, it can be integrated by simply supporting the corresponding translation interface. The command-line module serves as the entry point for the entire i18n tool, handling the main workflow of the i18n functionality, which is showed as follows: +![process details](./images/i18n-tool-overview.png) + + + +### Modular Design: + +1. processAST Function: Responsible for processing the AST, identifying and replacing Chinese strings. +2. generateKey Function: Generates unique keys for use in the i18n JSON file. +3. updateLocales Function: Update Locales files as material for subsequent translation functions. +4. translate Function: Choose the right way to translate from a variety of options. + + +### Process Design: +#### Translate Process: + The overall design adopts an interface-oriented development approach. In BaseTranslator, defining the translation implementation for single statements as well as for batch statements. Specific implementation classes only need to implement the corresponding translation methods. For example, integrating with Baidu's translation services, we have defined BaiduTranslator. After implementing the corresponding interface, one simply needs to instantiate a BaiduTranslator object to use its translation capabilities. + + + +#### Command-line Process: +The program, which is developed based on Node.js's commander module, primarily handles the main workflow which includes parsing command-line arguments, collecting files to be processed based on configuration parameters which use glob expressions, and iterating over all the files to be processed. It sequentially executes scanning, code generation, translation and locale file generation modules to complete the entire i18n process. The specific internal implementation is as follows: + + +1. Scanning Process: The scanning process is responsible for receiving external raw files and returning a processed AST (Abstract Syntax Tree). The internal process is illustrated in the diagram below: +![process details](./images/i18n-tool-scan.png) + +Convert the input files into an AST, traverse the AST to find nodes which containing Chinese characters, calculate the code points corresponding to the Chinese characters and save them in the i18nMap, and save the transformed AST nodes in CNpath. After completing one scan, continue to traverse CNpath, converting the Chinese characters in the corresponding AST nodes into the form of i18n function calls, and generate a new AST tree to return. + +2. Code generating process: This process receives the modified AST from the scanning module and converts this modified AST back into the original code. The internal process is as follows: +![process details](./images/i18n-tool-codeG.png) + +If the original code does not include an import statement for the i18n instance, an appropriate import statement needs to be inserted. This completes the main workflow of code generation. The process of code generation might inadvertently alter statements unrelated to i18n. To address this issue, a prettier process is introduced to style the generated code according to the original coding style, minimizing changes which brought by code-gen. Finally, the newly generated code is written back into the original file. + + +3. UpdateLocales process: This part receives the i18nMap which returned from the scanning module and updates the locale files by various target languages. The internal process is as follows: +![process details](./images/i18n-tool-upLoc.png) + +Based on the returned i18nMap, append updates to the Chinese locales file. Traverse through the target languages, and after the translation for each language is completed using the translator module, append the translated content to the respective languages’ locale files, thus automating the update of locale files. + + +### Test Plan + +plan to implement the unit testing function of the i18n tool with vitest. + + + +## Alternatives + +In addition to the AST-based approach for implementing the i18n tool, it is also possible to use regular expressions. 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