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bab913f8b2
This commit introduces the foundational specification for Lucidia v1.0 - a set of 100 working example programs that DEFINE the language through demonstration rather than formal grammar. Key Philosophy: - Examples ARE the spec (not documentation OF the spec) - AI systems learn by reading all 100 examples and extracting patterns - Humans learn by working through examples sequentially - No feature exists unless demonstrated in these examples Structure: - 001-010: Fundamentals (hello world → functions) - 011-020: Data & Collections (lists, maps, sets) - 021-030: Control Flow (if, loops, pattern matching) - 031-040: Functions & Composition (map, filter, reduce, closures) - 041-050: UI Basics (forms, inputs, validation) - 051-060: Reactive Programming (state, watchers, events) - 061-070: Consent & Privacy (permission system - CORE DIFFERENTIATOR) - 071-080: Storage & Sync (local-first, cloud-optional) - 081-090: AI Integration (intent → code, learning user style) - 091-100: Complete Applications (todo, notes, chat, e-commerce) Core Language Features Demonstrated: ✓ Intent over ceremony (write WHAT, not HOW) ✓ Consent as syntax (ask permission for: resource) ✓ Local-first storage (store locally, sync to cloud optional) ✓ AI-collaborative (### Intent comments become code) ✓ Reactive by default (state, watch, computed) ✓ Zero setup (runs in browser via WASM) ✓ Multi-paradigm (functional, OOP, reactive, agent-based) ✓ Gradual complexity (hello world → production apps) Files Created: - README.md - Learning philosophy and path - INDEX.md - Complete reference table - 001-100.lucidia - All example programs Total: 102 files, ~3,500+ lines of example code Why This Matters: This is not just documentation. This IS Lucidia. Every parser, compiler, AI assistant, and developer tool will be trained on these examples. They are the permanent, immutable foundation of the language. Next Steps: 1. Build parser that learns from these examples 2. Train AI to recognize and generate Lucidia patterns 3. Create browser playground with these as gallery 4. Use for academic paper and conference presentations Designed by: Cece (Principal Language & Runtime Architect) For: BlackRoad Operating System / Lucidia Programming Language Status: Complete foundation for implementation
101 lines
2.1 KiB
Plaintext
101 lines
2.1 KiB
Plaintext
# 092: Note Taking App
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# Markdown notes with local storage and search
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state notes = load "notes" locally or []
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state current_note = null
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state search_query = ""
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# Create new note
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create_note():
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note = {
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id: generate_id(),
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title: "Untitled",
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content: "",
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created_at: now(),
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updated_at: now(),
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tags: []
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}
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notes.append(note)
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current_note = note
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store notes locally as "notes"
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# Save note
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save_note():
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if current_note == null: return
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current_note.updated_at = now()
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notes = notes.map(note => {
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if note.id == current_note.id:
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current_note
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else:
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note
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})
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store notes locally as "notes"
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show "Note saved"
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# Delete note
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delete_note(id):
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notes = notes.filter(note => note.id != id)
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current_note = null
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store notes locally as "notes"
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# Search notes
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computed filtered_notes = notes.filter(note => {
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if search_query == "": return true
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query_lower = search_query.lowercase()
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return note.title.lowercase().contains(query_lower) or
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note.content.lowercase().contains(query_lower)
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})
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# UI Layout
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show_layout:
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# Sidebar
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sidebar:
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button "New Note" -> create_note()
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input search_query -> search_query
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placeholder: "Search notes..."
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show "{filtered_notes.length} notes"
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for note in filtered_notes:
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note_list_item:
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title: note.title
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preview: note.content[0:50]
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date: format_date(note.updated_at)
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active: current_note?.id == note.id
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on_click: () => current_note = note
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# Editor
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editor:
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if current_note != null:
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input current_note.title -> current_note.title
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on_change: save_note()
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textarea current_note.content -> current_note.content
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on_change: save_note()
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rows: 20
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# Markdown preview
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show_markdown(current_note.content)
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# Tags
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show "Tags:"
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for tag in current_note.tags:
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show_tag(tag)
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button "Delete Note" -> delete_note(current_note.id)
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else:
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show "Select a note or create a new one"
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format_date(timestamp):
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# AI: Format as relative time
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return "2 hours ago"
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generate_id():
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return now() + Math.random()
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