# ============================================================
# Exam Prompt AI — Universal Exam Preparation System
# Architecture-as-Code (D2 Language)
# Auto-rendered via GitHub Actions
# ============================================================

direction: right

# ============================================================
# INPUT SOURCES
# ============================================================
input: "Input Sources" {
  syllabus: "Syllabus PDFs"
  pyqs: "PYQ PDFs"
  notes: "Student Notes"
  query: "User Questions"
}

# ============================================================
# INGESTION PIPELINE
# ============================================================
ingestion: "Document Ingestion" {
  ocr: "OCR Engine"
  parser: "PDF Parser"
  chunker: "Text Chunker"
  metadata: "Metadata Extractor"

  ocr -> parser
  parser -> chunker
  chunker -> metadata
}

# ============================================================
# KNOWLEDGE LAYER (RAG + Vector Memory)
# ============================================================
knowledge: "Knowledge Layer" {
  vector_db: "Vector Database"
  embeddings: "Embedding Engine"
  semantic: "Semantic Index"
  cache: "Response Cache"

  embeddings -> vector_db
  vector_db -> semantic
}

# ============================================================
# AI ORCHESTRATOR
# ============================================================
orchestrator: "AI Orchestrator" {
  context_builder: "Context Builder"
  skill_router: "Skill Router"
  university_adapter: "University Adapter"
  prompt_engine: "Prompt Constructor"
  retrieval: "Retrieval Engine"

  context_builder -> skill_router
  university_adapter -> context_builder
  skill_router -> prompt_engine
  retrieval -> context_builder
}

# ============================================================
# UNIVERSITY PLUGIN SYSTEM
# ============================================================
plugins: "University Plugins" {
  sppu: "SPPU Plugin"
  vtu: "VTU Plugin"
  jntu: "JNTU Plugin"
  mumbai: "Mumbai Univ Plugin"
  aktu: "AKTU Plugin"
  rgpv: "RGPV Plugin"
  iit: "IIT/NIT Plugin"
  uk: "UK/Oxford Plugin"
  us: "North American Plugin"
  custom: "Custom Plugin"
}

# ============================================================
# SKILL MODULES
# ============================================================
skills: "Skill Modules" {
  answer_writer: "Answer Writer"
  notes_gen: "Notes Generator"
  pyq_analyzer: "PYQ Analyzer"
  imp_topics: "IMP Topics Generator"
  assignment: "Assignment Writer"
  exam_paper: "Exam Paper Generator"
  flashcards: "Flashcard Generator"
  study_planner: "Study Planner"
  mcq_gen: "MCQ Generator"
  viva_prep: "Viva Prep"
  crammer: "Last-Minute Crammer"
  lab_report: "Lab Report Writer"
  formula_sheet: "Formula Sheet Generator"
  mind_map: "Mind Map Generator"
  case_study: "Case Study Solver"
  essay_grader: "Essay Grader"
  cross_subject: "Cross-Subject Mapper"
}

# ============================================================
# LLM LAYER
# ============================================================
llm: "LLM Layer" {
  claude: "Claude"
  gpt: "GPT"
  gemini: "Gemini"
  local: "Local Models (Mistral, Llama)"
}

# ============================================================
# VALIDATION ENGINE
# ============================================================
validation: "Validation Engine" {
  syllabus_check: "Syllabus Alignment"
  co_mapping: "CO Mapping"
  bloom_check: "Bloom's Verification"
  hallucination: "Hallucination Check"
  format_validator: "Format Validator"
}

# ============================================================
# OUTPUT GENERATOR
# ============================================================
output: "Output Generator" {
  answers: "Exam Answers"
  notes: "Notes"
  reports: "Analysis Reports"
  mcqs: "Practice MCQs"
  flashcards: "Flashcard Decks"
  schedules: "Study Schedules"
  diagrams: "Mind Maps / Diagrams"
  papers: "Question Papers"
  reports_lab: "Lab Reports"
}

# ============================================================
# FEEDBACK & ANALYTICS
# ============================================================
analytics: "Feedback & Analytics" {
  user_ratings: "User Ratings"
  topic_tracking: "Topic Tracking"
  accuracy: "Accuracy Metrics"
  trends: "Question Trends"
  weak_areas: "Weak Area Detection"
}

# ============================================================
# EXPORT ENGINE
# ============================================================
export: "Export Engine" {
  pdf_export: "PDF"
  docx_export: "DOCX"
  md_export: "Markdown"
  anki_export: "Anki APKG"
  csv_export: "CSV"
  svg_export: "SVG"
}

# ============================================================
# DATA FLOWS (solid = primary, dashed = metadata/context)
# ============================================================
input -> ingestion: "Raw documents"
ingestion -> knowledge: "Chunked + embedded text"
knowledge -> orchestrator: "Retrieved context"
orchestrator -> plugins: "University detection"
plugins -> orchestrator: "Pattern config"
orchestrator -> skills: "Selected skill"
skills -> llm: "Prompt + context"
llm -> validation: "Raw output"
validation -> output: "Validated output"
output -> export: "Formatted content"
output -> analytics: "Usage data"
analytics -> orchestrator: "Improvement signals"