Initial commit - Phase 3/4
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VISUALIZATION_PLAN.md
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VISUALIZATION_PLAN.md
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# Dangerous Pi - Visualization & Guided Workflows Plan
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**Status**: 🎯 In Planning
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**Priority**: High (Post-MVP Phase 1)
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**Target Timeline**: 4-6 weeks implementation
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**Last Updated**: 2025-11-26
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---
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## Executive Summary
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Dangerous Pi will implement data visualization and guided workflows using **Victory Charts**, a cross-platform charting library that works seamlessly across Web (Remix), React Native (mobile), and Electron (desktop) applications.
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### Key Decisions
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- **Charting Library**: Victory (cross-platform, mobile-first)
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- **Bundle Impact**: ~50KB (acceptable via code splitting)
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- **Primary Target**: Mobile/smartphone users (📱 80% of usage)
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- **Architecture**: Shared components across all platforms
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---
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## 1. Why Victory Charts?
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### Cross-Platform Requirements
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| Platform | Framework | Victory Package | Rendering |
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|----------|-----------|-----------------|-----------|
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| **Web** | Remix.js + React | `victory` | SVG/Canvas |
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| **Mobile** | React Native | `victory-native` | Native |
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| **Desktop** | Electron + React | `victory` | SVG/Canvas |
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**Code Reuse**: ~90% of chart components shared across platforms
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### Comparison with Alternatives
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| Feature | Victory | Chart.js | Recharts | Nivo |
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|---------|---------|----------|----------|------|
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| React Native Support | ✅ Native | ❌ None | ⚠️ Wrapper | ❌ None |
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| Touch Gestures | ✅ Built-in | ⚠️ Limited | ⚠️ Limited | ✅ Good |
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| Bundle Size | 50KB | 30KB | 45KB | 120KB |
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| Mobile-First | ✅ Yes | ❌ No | ❌ No | ✅ Yes |
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| **Score** | **9/10** | 5/10 | 6/10 | 6/10 |
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**Winner**: Victory (only library with true cross-platform support)
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---
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## 2. Architecture Overview
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### Data Flow
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```
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Proxmark3 Hardware
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↓ USB
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Pi Zero 2 W Backend (Python)
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↓ Execute PM3 command
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PM3 Python Module (SWIG)
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↓ Text output
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Parser Layer (NEW)
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↓ Structured JSON
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FastAPI Endpoint (Enhanced)
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↓ REST/SSE
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Frontend (Remix/React)
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↓ Victory Charts
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User (Mobile/Desktop)
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```
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### New Backend Components
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#### Parser Module (`app/backend/parsers/pm3_output.py`)
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```python
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"""
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Convert PM3 text output into structured data for visualization.
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"""
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def parse_antenna_tuning(output: str) -> dict:
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"""
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Parse hw tune / hf tune / lf tune output.
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Input: "# LF antenna: 50.00 V @ 125.00 kHz"
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Output: {
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"frequency": 125.0,
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"voltage": 50.0,
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"type": "lf",
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"optimal": voltage > 45.0
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}
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"""
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def parse_waveform_data(output: str) -> dict:
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"""
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Parse data samples command output.
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Output: {
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"samples": [1, 2, 3, ...],
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"sample_rate": 48000,
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"total_samples": 10000
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}
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"""
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def parse_protocol_trace(output: str) -> dict:
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"""
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Parse hf list / lf list output into timeline.
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Output: {
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"frames": [
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{
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"timestamp": 1234,
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"direction": "tag_to_reader",
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"data": "0x01 0x02",
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"crc": "ok"
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},
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...
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]
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}
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"""
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def parse_tag_detection(output: str) -> dict:
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"""
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Parse hf search / lf search results.
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Output: {
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"found": true,
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"tag_type": "MIFARE Classic 1K",
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"uid": "01234567",
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"signal_strength": "good"
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}
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"""
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```
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#### Enhanced API Response
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```python
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# app/backend/api/pm3.py
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class CommandWithDataResponse(BaseModel):
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"""Enhanced response with visualization data."""
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success: bool
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output: str # Original text (backwards compatible)
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data: Optional[Dict] = None # Structured data for charts
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visualization_type: Optional[str] = None # Chart type hint
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# visualization_type values: "waveform", "tune", "trace", "summary"
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@router.post("/command-with-data", response_model=CommandWithDataResponse)
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async def execute_command_with_visualization(request: CommandRequest):
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"""Execute PM3 command and return structured data."""
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# Execute command
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result = await pm3_worker.execute_command(request.command)
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# Parse output based on command type
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data = None
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viz_type = None
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if request.command.startswith(('hw tune', 'hf tune', 'lf tune')):
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data = parse_antenna_tuning(result.output)
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viz_type = "tune"
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elif request.command.startswith('data'):
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data = parse_waveform_data(result.output)
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viz_type = "waveform"
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elif request.command.startswith(('hf list', 'lf list')):
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data = parse_protocol_trace(result.output)
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viz_type = "trace"
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elif request.command.startswith(('hf search', 'lf search')):
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data = parse_tag_detection(result.output)
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viz_type = "summary"
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return CommandWithDataResponse(
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success=result.success,
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output=result.output,
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data=data,
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visualization_type=viz_type
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)
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```
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### Frontend Components
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#### Shared Chart Library (`app/shared/components/charts/`)
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**Cross-platform components used by Web + React Native + Electron**
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```typescript
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// TuneChart.tsx
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import { VictoryLine, VictoryChart, VictoryAxis, VictoryTheme } from 'victory'
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interface TuneData {
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frequency: number
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voltage: number
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optimal?: boolean
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}
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export function TuneChart({
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data,
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title,
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thresholdVoltage = 40
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}: {
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data: TuneData[],
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title: string,
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thresholdVoltage?: number
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}) {
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return (
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<VictoryChart
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theme={VictoryTheme.material}
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height={300}
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padding={{ top: 40, bottom: 40, left: 60, right: 40 }}
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>
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<VictoryAxis
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label="Frequency (kHz)"
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style={{
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axisLabel: { fontSize: 14, padding: 30, fill: '#9ca3af' }
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}}
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/>
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<VictoryAxis
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dependentAxis
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label="Voltage (V)"
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style={{
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axisLabel: { fontSize: 14, padding: 40, fill: '#9ca3af' }
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}}
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/>
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{/* Threshold line */}
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<VictoryLine
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data={[
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{ x: Math.min(...data.map(d => d.frequency)), y: thresholdVoltage },
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{ x: Math.max(...data.map(d => d.frequency)), y: thresholdVoltage }
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]}
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style={{
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data: { stroke: "#ffaa00", strokeWidth: 1, strokeDasharray: "4,4" }
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}}
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/>
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{/* Actual data */}
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<VictoryLine
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data={data}
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x="frequency"
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y="voltage"
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style={{
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data: { stroke: "#00ffff", strokeWidth: 3 }
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}}
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animate={{
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duration: 500,
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onLoad: { duration: 500 }
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}}
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/>
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</VictoryChart>
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)
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}
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```
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```typescript
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// WaveformChart.tsx
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import { VictoryLine, VictoryChart, VictoryZoomContainer } from 'victory'
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export function WaveformChart({ samples }: { samples: number[] }) {
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// Downsample if > 1000 points for performance
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const displaySamples = samples.length > 1000
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? downsample(samples, 1000)
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: samples
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const data = displaySamples.map((value, index) => ({ x: index, y: value }))
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return (
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<VictoryChart
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height={400}
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containerComponent={
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<VictoryZoomContainer
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zoomDimension="x"
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allowPan={true}
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allowZoom={true}
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minimumZoom={{ x: 1 }}
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/>
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}
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>
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<VictoryLine
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data={data}
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style={{
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data: { stroke: "#00ffff", strokeWidth: 2 }
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}}
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/>
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</VictoryChart>
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)
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}
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function downsample(data: number[], targetSize: number): number[] {
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const step = Math.floor(data.length / targetSize)
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return data.filter((_, i) => i % step === 0)
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}
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```
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---
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## 3. Guided Workflows
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### Framework Architecture
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```typescript
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// app/frontend/app/components/GuidedWorkflow.tsx
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interface WorkflowStep {
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id: string
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title: string
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description: string
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component: React.ComponentType<StepProps>
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validation?: (data: any) => boolean
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helpText?: string
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}
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interface StepProps {
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data: Record<string, any>
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onUpdate: (data: Record<string, any>) => void
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onComplete: () => void
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}
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export function GuidedWorkflow({
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steps,
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onComplete
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}: {
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steps: WorkflowStep[],
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onComplete: (data: any) => void
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}) {
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const [currentStep, setCurrentStep] = useState(0)
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const [stepData, setStepData] = useState<Record<string, any>>({})
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const canProceed = () => {
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const step = steps[currentStep]
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return !step.validation || step.validation(stepData)
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}
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const CurrentStepComponent = steps[currentStep].component
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return (
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<div className="workflow-container">
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{/* Progress bar */}
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<div className="progress-steps">
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{steps.map((step, i) => (
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<div
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key={step.id}
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className={`step ${i === currentStep ? 'active' : ''} ${i < currentStep ? 'completed' : ''}`}
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>
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{i < currentStep ? '✓' : i + 1} {step.title}
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</div>
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))}
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</div>
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{/* Current step */}
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<div className="step-content">
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<h2>{steps[currentStep].title}</h2>
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<p>{steps[currentStep].description}</p>
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<CurrentStepComponent
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data={stepData}
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onUpdate={(data) => setStepData({ ...stepData, ...data })}
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onComplete={() => {
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if (currentStep < steps.length - 1) {
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setCurrentStep(currentStep + 1)
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} else {
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onComplete(stepData)
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}
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}}
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/>
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{steps[currentStep].helpText && (
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<div className="help-text">{steps[currentStep].helpText}</div>
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)}
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</div>
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{/* Navigation */}
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<div className="step-navigation">
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{currentStep > 0 && (
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<button onClick={() => setCurrentStep(currentStep - 1)}>
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← Back
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</button>
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)}
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<button
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onClick={() => {
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if (currentStep < steps.length - 1) {
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setCurrentStep(currentStep + 1)
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} else {
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onComplete(stepData)
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}
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}}
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disabled={!canProceed()}
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>
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{currentStep < steps.length - 1 ? 'Next →' : 'Finish'}
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</button>
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</div>
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</div>
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)
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}
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```
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### Priority Workflows to Implement
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#### 1. HF/LF/HW Tune (Week 1-2)
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**Steps**:
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1. Select frequency type (HF/LF/HW)
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2. Run tuning command
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3. Display real-time chart
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4. Show optimal/warning indicators
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**Files**:
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- `app/frontend/app/routes/workflows/tune.tsx`
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- `app/shared/components/charts/TuneChart.tsx`
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#### 2. ID Transponder (Week 2-3)
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**Steps**:
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1. Select frequency (HF/LF)
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2. Place tag on antenna
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3. Run detection command
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4. Display tag information card
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**Files**:
|
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- `app/frontend/app/routes/workflows/id-tag.tsx`
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- Component: Tag info card with icon
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#### 3. Clone MIFARE Classic 1K (Week 3-4)
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**Steps**:
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1. Tune HF antenna
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2. Read source card (64 blocks)
|
||||
3. Verify read success
|
||||
4. Write to target card
|
||||
5. Verify write success
|
||||
|
||||
**Files**:
|
||||
- `app/frontend/app/routes/workflows/clone-mifare.tsx`
|
||||
- Progress tracking component
|
||||
|
||||
#### 4. Clone to T5577 (Week 4-5)
|
||||
|
||||
**Steps**:
|
||||
1. Tune LF antenna
|
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2. Read source tag
|
||||
3. Configure T5577 settings
|
||||
4. Write to T5577
|
||||
5. Verify clone
|
||||
|
||||
**Files**:
|
||||
- `app/frontend/app/routes/workflows/clone-t5577.tsx`
|
||||
|
||||
#### 5. Sniffing Utility (Week 5-6)
|
||||
|
||||
**Steps**:
|
||||
1. Configure sniffing parameters
|
||||
2. Start capture
|
||||
3. Real-time frame display
|
||||
4. Stop capture
|
||||
5. Analyze captured data
|
||||
|
||||
**Files**:
|
||||
- `app/frontend/app/routes/workflows/sniff.tsx`
|
||||
- `app/shared/components/charts/ProtocolTimeline.tsx`
|
||||
|
||||
---
|
||||
|
||||
## 4. Implementation Roadmap
|
||||
|
||||
### Phase 1: Foundation (Week 1)
|
||||
|
||||
**Backend**:
|
||||
- [ ] Create `app/backend/parsers/pm3_output.py`
|
||||
- [ ] Implement antenna tuning parser
|
||||
- [ ] Add `/api/pm3/command-with-data` endpoint
|
||||
- [ ] Write parser unit tests
|
||||
|
||||
**Frontend**:
|
||||
- [ ] Install Victory: `npm install victory`
|
||||
- [ ] Create `app/shared/components/charts/` directory
|
||||
- [ ] Implement `TuneChart.tsx`
|
||||
- [ ] Test with mock data
|
||||
|
||||
**Deliverable**: Working HF/LF tune visualization
|
||||
|
||||
### Phase 2: Guided Workflows (Week 2-3)
|
||||
|
||||
**Frontend**:
|
||||
- [ ] Create `GuidedWorkflow.tsx` framework
|
||||
- [ ] Implement HF/LF Tune workflow
|
||||
- [ ] Implement ID Transponder workflow
|
||||
- [ ] Add progress indicators
|
||||
- [ ] Mobile touch optimization
|
||||
|
||||
**Deliverable**: Two working guided workflows
|
||||
|
||||
### Phase 3: Advanced Workflows (Week 3-4)
|
||||
|
||||
**Backend**:
|
||||
- [ ] Implement waveform parser
|
||||
- [ ] Implement trace parser
|
||||
- [ ] Add streaming support for sniffing
|
||||
|
||||
**Frontend**:
|
||||
- [ ] Clone MIFARE Classic workflow
|
||||
- [ ] Clone T5577 workflow
|
||||
- [ ] `WaveformChart.tsx` with pan/zoom
|
||||
- [ ] Progress tracking components
|
||||
|
||||
**Deliverable**: Complete cloning workflows
|
||||
|
||||
### Phase 4: Sniffing & Polish (Week 5-6)
|
||||
|
||||
**Frontend**:
|
||||
- [ ] Sniffing utility implementation
|
||||
- [ ] `ProtocolTimeline.tsx` chart
|
||||
- [ ] Real-time data streaming
|
||||
- [ ] Export capabilities (CSV/JSON)
|
||||
|
||||
**Polish**:
|
||||
- [ ] Performance optimization
|
||||
- [ ] Code splitting setup
|
||||
- [ ] Mobile gesture improvements
|
||||
- [ ] Accessibility improvements
|
||||
|
||||
**Deliverable**: Production-ready visualization system
|
||||
|
||||
---
|
||||
|
||||
## 5. Bundle Size Management
|
||||
|
||||
### Code Splitting Strategy
|
||||
|
||||
```typescript
|
||||
// Lazy load charts only when needed
|
||||
import { lazy, Suspense } from 'react'
|
||||
|
||||
const TuneChart = lazy(() => import('~/shared/components/charts/TuneChart'))
|
||||
|
||||
function TunePage() {
|
||||
return (
|
||||
<Suspense fallback={<div>Loading chart...</div>}>
|
||||
<TuneChart data={data} />
|
||||
</Suspense>
|
||||
)
|
||||
}
|
||||
```
|
||||
|
||||
### Bundle Impact Analysis
|
||||
|
||||
| Component | Size (gzipped) | When Loaded |
|
||||
|-----------|----------------|-------------|
|
||||
| Base App | ~120KB | Initial |
|
||||
| Victory Core | +35KB | On-demand |
|
||||
| TuneChart | +5KB | Workflow page |
|
||||
| WaveformChart | +8KB | Workflow page |
|
||||
| **Total (worst case)** | **~170KB** | ✅ Acceptable |
|
||||
|
||||
**Optimization**: Most users won't load all charts in one session.
|
||||
|
||||
---
|
||||
|
||||
## 6. Cross-Platform Strategy
|
||||
|
||||
### React Native App (Future)
|
||||
|
||||
```typescript
|
||||
// Same component, different import!
|
||||
// Web version (Remix)
|
||||
import { VictoryLine } from 'victory'
|
||||
|
||||
// React Native version
|
||||
import { VictoryLine } from 'victory-native'
|
||||
|
||||
// Component code is IDENTICAL
|
||||
export function TuneChart({ data }) {
|
||||
return (
|
||||
<VictoryChart>
|
||||
<VictoryLine data={data} />
|
||||
</VictoryChart>
|
||||
)
|
||||
}
|
||||
```
|
||||
|
||||
### BLE Integration for Mobile
|
||||
|
||||
Enhanced BLE Manager will support:
|
||||
- Command execution via BLE (offline PM3 operations)
|
||||
- Status queries via BLE
|
||||
- Guided workflow triggers via BLE
|
||||
- Real-time data streaming via BLE
|
||||
|
||||
**Use Case**: User operates PM3 with phone via BLE, no WiFi needed.
|
||||
|
||||
---
|
||||
|
||||
## 7. Testing Strategy
|
||||
|
||||
### Backend Parser Tests
|
||||
|
||||
```python
|
||||
# test_pm3_parsers.py
|
||||
|
||||
def test_parse_antenna_tuning():
|
||||
output = "# LF antenna: 50.00 V @ 125.00 kHz"
|
||||
result = parse_antenna_tuning(output)
|
||||
assert result["voltage"] == 50.0
|
||||
assert result["frequency"] == 125.0
|
||||
assert result["optimal"] == True # > 45V threshold
|
||||
```
|
||||
|
||||
### Frontend Chart Tests
|
||||
|
||||
```typescript
|
||||
// Mock data testing (no hardware needed)
|
||||
const mockTuneData = [
|
||||
{ frequency: 120, voltage: 45 },
|
||||
{ frequency: 125, voltage: 50 },
|
||||
{ frequency: 130, voltage: 48 }
|
||||
]
|
||||
|
||||
test('TuneChart renders with mock data', () => {
|
||||
render(<TuneChart data={mockTuneData} />)
|
||||
expect(screen.getByText(/Voltage/)).toBeInTheDocument()
|
||||
})
|
||||
```
|
||||
|
||||
### Mobile Touch Testing
|
||||
|
||||
- Test on actual smartphone (iPhone/Android)
|
||||
- Verify pinch-zoom works smoothly
|
||||
- Check 44px touch target compliance
|
||||
- Test landscape orientation
|
||||
|
||||
---
|
||||
|
||||
## 8. Dependencies
|
||||
|
||||
### NPM Packages
|
||||
|
||||
```json
|
||||
{
|
||||
"dependencies": {
|
||||
"victory": "^37.0.0", // ~35KB gzipped
|
||||
"victory-native": "^37.0.0" // For React Native (later)
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
### Python Packages
|
||||
|
||||
No new dependencies - use standard library for parsing.
|
||||
|
||||
---
|
||||
|
||||
## 9. Success Metrics
|
||||
|
||||
### Technical
|
||||
- [ ] Bundle size stays under 200KB (gzipped)
|
||||
- [ ] Charts render in < 200ms on mobile
|
||||
- [ ] Touch gestures work smoothly (60fps)
|
||||
- [ ] Parser accuracy > 95% for all PM3 commands
|
||||
|
||||
### UX
|
||||
- [ ] Users complete workflows 80% faster than manual commands
|
||||
- [ ] Mobile users can operate PM3 with one hand
|
||||
- [ ] Reduce support requests by 50% (guided workflows)
|
||||
|
||||
---
|
||||
|
||||
## 10. Future Enhancements
|
||||
|
||||
### After Initial Implementation
|
||||
|
||||
1. **Waveform Annotations**
|
||||
- Mark interesting signal features
|
||||
- Save/load annotated captures
|
||||
|
||||
2. **Chart Exports**
|
||||
- Export as PNG/SVG
|
||||
- Export data as CSV/JSON
|
||||
- Share via mobile apps
|
||||
|
||||
3. **Advanced Analytics**
|
||||
- Signal quality metrics
|
||||
- Antenna tuning history tracking
|
||||
- Success rate statistics
|
||||
|
||||
4. **Offline Support**
|
||||
- Cache chart data locally
|
||||
- Service worker for offline workflows
|
||||
- Sync when reconnected
|
||||
|
||||
---
|
||||
|
||||
## Summary
|
||||
|
||||
**Victory Charts** provides the perfect foundation for Dangerous Pi's visualization needs:
|
||||
- ✅ True cross-platform support (Web, Mobile, Desktop)
|
||||
- ✅ Mobile-first with touch gestures built-in
|
||||
- ✅ Shared components = faster development
|
||||
- ✅ Acceptable bundle size with code splitting
|
||||
- ✅ Perfect for guided workflow UX
|
||||
|
||||
**Next Step**: Begin Phase 1 implementation (Backend parsers + Victory setup)
|
||||
|
||||
**Questions?** See [UI_GUIDELINES.md](UI_GUIDELINES.md) for styling and [claude.md](claude.md) for architecture details.
|
||||
Reference in New Issue
Block a user