# Requirements Document

## Introduction

This feature adds comprehensive multi-language support to AWS workshop content by translating all English content files and updating the workshop configuration to support additional languages. This solution is designed to be reusable across different AWS workshops and training materials.

## Requirements

### Requirement 1

**User Story:** As a non-English speaking workshop participant, I want to access all workshop content in my preferred language, so that I can better understand the technical concepts and follow the hands-on labs without language barriers.

#### Acceptance Criteria

1. WHEN a user selects their preferred language THEN the system SHALL display all workshop content in that language
2. WHEN a user navigates through workshop modules THEN all section titles, descriptions, and instructions SHALL be in the selected language
3. WHEN a user views code examples and technical explanations THEN they SHALL be accompanied by explanations in the selected language
4. IF a user switches from another language THEN the content SHALL maintain the same structure and formatting

### Requirement 2

**User Story:** As a workshop administrator, I want the target language to be properly configured in the workshop system, so that participants can seamlessly switch to their preferred language.

#### Acceptance Criteria

1. WHEN the workshop loads THEN the target language SHALL be available as a language option in the language switcher
2. WHEN the target language is selected THEN the system SHALL load the corresponding .{lang}.md files for all content
3. WHEN the workshop configuration is updated THEN the target language SHALL be included in the supported locale codes
4. WHEN all content is translated THEN every English .en.md file SHALL have a corresponding .{lang}.md file

### Requirement 3

**User Story:** As a technical translator, I want all AWS service names and technical terms to be consistently translated, so that users have a coherent learning experience.

#### Acceptance Criteria

1. WHEN AWS service names appear in translated content THEN they SHALL use official translations from AWS documentation
2. WHEN technical terms are used THEN they SHALL be translated consistently across all modules using established AWS terminology
3. WHEN code snippets contain comments THEN they SHALL be translated while preserving code functionality
4. WHEN translating AWS services THEN official AWS documentation SHALL be referenced for accurate terminology

### Requirement 4

**User Story:** As a content maintainer, I want the translation to preserve all markdown formatting and structure, so that the workshop renders correctly in the target language.

#### Acceptance Criteria

1. WHEN translated content is rendered THEN all markdown formatting SHALL be preserved
2. WHEN images and diagrams are referenced THEN their alt text SHALL be translated
3. WHEN links and references are included THEN they SHALL remain as original English links since translated equivalents may not be available
4. IF special markdown syntax is used THEN it SHALL function identically in translated files

### Requirement 5

**User Story:** As a workshop participant, I want translated content to be culturally appropriate and professionally written, so that I can trust the quality of the educational material.

#### Acceptance Criteria

1. WHEN translated content is presented THEN it SHALL use appropriate formal language suitable for technical education
2. WHEN examples or scenarios are given THEN they SHALL be culturally relevant when possible
3. WHEN technical concepts are explained THEN they SHALL use clear and professional terminology
4. IF colloquial expressions exist in English content THEN they SHALL be appropriately adapted for the target audience

### Requirement 6

**User Story:** As a content maintainer, I want automated validation tools to ensure translation quality and completeness, so that I can efficiently manage translations across multiple workshops.

#### Acceptance Criteria

1. WHEN validation is performed THEN the system SHALL check that every English .en.md file has a corresponding translated file
2. WHEN comparing translations THEN the system SHALL analyze line count differences between English and translated files
3. WHEN line count differences exceed 10% THEN the system SHALL generate warnings for manual review
4. WHEN markdown syntax errors exist THEN the system SHALL identify and report specific issues
5. WHEN frontmatter is missing or malformed THEN the system SHALL report structural errors
6. WHEN validation completes THEN the system SHALL generate a comprehensive report showing translation coverage, line count analysis, and quality metrics
