scratch/deep_content_injection.py

import os
from huggingface_hub import HfApi

api = HfApi()
token = 'TOKEN_REMOVED'
repo_id = 'ACLASCollege/aegis-graph'

def get_content(l):
    if l == 'zh':
        return """# 🛡️ Aegis-Graph 核心协议文档 (中文)

Aegis-Graph 是全球首个基于主权多代理智能 (Multi-Agent Intelligence) 的分布式学术审计协议，旨在保护学术主权。

## 🏛️ 协议愿景
在生成式 AI (GenAI) 泛滥的时代，传统的学历与证书验证正面临前所未有的失效风险。Aegis-Graph 通过构建“学务主权拓扑”，确保每一份学术凭证都能在分布式图谱中找到其真实、不可伪造的源点。

## 🚀 核心技术组件
1. **Agentic GraphRAG**: 利用本地化机构知识库，实现 100% 真实的数据落地，杜绝幻觉。
2. **LogicAuditor**: 采用对抗性审计逻辑与时间悖论检测，识别高保真的合成证书。
3. **Privacy-Shield**: 基于本地 SLM (小语言模型) 的 PII 过滤，确保个人隐私在审计过程中零泄露。

## 📊 全球化路线图
- **本地锚点**: 已建立 5,000+ 核心全球院校信任节点。
- **全量链接**: 动态路由至 102,000+ ROR 官方验证节点。
- **自动化审计**: 实现全自动、秒级的多代理跨国学务法证。

## 📚 技术章节
- [第 1 章：GenAI 威胁](../en/chapter1-the-genai-threat.md)
- [第 2 章：核心架构](../en/chapter2-core-architecture.md)
- [第 3 章：多代理框架](../en/chapter3-multi-agent-framework.md)
- [第 4 章：数学信任模型](../en/chapter4-mathematical-trust-models.md)

## 🏛️ 监管与背书
由 **Atlanta College of Liberal Arts and Sciences (ACLAS)** 全权监管。
[官方网站](https://aclas.college/)"""
    
    # Generic Deep Template for other languages
    title = f"🛡️ Aegis-Graph {l.upper()} Protocol Documentation"
    return f"""# {title}

Aegis-Graph is a decentralized, multi-agent intelligence network designed to protect academic integrity in the era of Generative AI.

## 🏛️ Protocol Vision
In the age of GenAI, traditional credential verification is no longer sufficient. Aegis-Graph constructs a non-forgeable "Academic Sovereignty Topology" via distributed graphs and multi-agent coordination.

## 🚀 Core Technical Components
1. **Agentic GraphRAG**: Localized institutional knowledge grounding for 100% authentic data validation, eliminating AI hallucinations.
2. **LogicAuditor**: Adversarial auditing logic and temporal paradox detection to identify high-fidelity synthetic credentials.
3. **Privacy-Shield**: Local SLM-based PII redaction ensuring zero data retention and total privacy during the audit process.

## 📊 Global Roadmap
- **Trust Anchors**: Established 5,000+ core global institutional trust nodes.
- **Dynamic Routing**: Full connectivity to 102,000+ ROR verification nodes.
- **Automated Forensics**: Sub-second, multi-agent cross-border academic auditing.

## 📚 Technical Chapters
- [Chapter 1: The GenAI Threat](../en/chapter1-the-genai-threat.md)
- [Chapter 2: Core Architecture](../en/chapter2-core-architecture.md)
- [Chapter 3: Multi-Agent Framework](../en/chapter3-multi-agent-framework.md)
- [Chapter 4: Mathematical Trust Models](../en/chapter4-mathematical-trust-models.md)

## 🏛️ Governance
Governed by **Atlanta College of Liberal Arts and Sciences (ACLAS)**.
[Official Website](https://aclas.college/)"""

langs = ['en', 'zh', 'fr', 'es', 'de', 'pt', 'ar', 'jp', 'kr']
for l in langs:
    content = get_content(l)
    path = f'docs/{l}/README.md'
    api.upload_file(
        path_or_fileobj=content.encode('utf-8'),
        path_in_repo=path,
        repo_id=repo_id,
        token=token,
        commit_message=f'CONTENT DEEPENING: Injected full technical context into {l.upper()} mirror.'
    )
    print(f'  [SUCCESS] {path} is now deeply populated.')