╔══════════════════════════════════════════════════════════════════════════════╗
║ ║
║ PROGRAMMING VISUALIZATION — Where Source Code Meets Cognition ║
║ ║
║ Transform raw code into stunning, interactive visual explanations. ║
║ Upload, paste, or API-submit — watch the neural engine deconstruct ║
║ your code into AST trees, call graphs, flowcharts, and complexity ║
║ analyses in milliseconds. ║
║ ║
╚══════════════════════════════════════════════════════════════════════════════╝
Programming Visualization is a production-grade, Flask-based AI Code Analysis and Visualization Platform engineered for developers, educators, and students. It bridges the gap between raw syntax and visual comprehension through multi-layered neural parsing, real-time AST generation, and cinematic interactive charts.
"Every line of code tells a story. We just make it visible." — issu321 (Mohammed Usman)
| Language | Parser | AST Support | Complexity | Call Graph | Flowchart | Status |
|---|---|---|---|---|---|---|
| Python | ast (Built-in) | Full | O(n) | Full | Full | Production |
| Java | javalang | Full | O(n) | Full | Full | Production |
| C | pycparser | Full | O(n) | Full | Full | Production |
| C++ | Regex + Heuristics | Partial | O(n) | Full | Full | Beta |
graph TB
subgraph INPUT["INPUT LAYER"]
A1["File Upload (.py .java .c .cpp .h)"]
A2["Code Paste (Direct Text Input)"]
A3["API Endpoint (POST /api/analyze)"]
A4["Mobile Browser (Responsive UI)"]
end
subgraph DETECT["DETECTION NEURON"]
B1["Extension Analysis"]
B2["Content Heuristics"]
B3["Syntax Validation"]
B4["Confidence Scoring"]
end
subgraph PARSE["PARSING CORE"]
C1["Python AST Parser"]
C2["Java Parser (javalang)"]
C3["C Parser (pycparser)"]
C4["C++ Parser (Regex + Heuristics)"]
end
subgraph ANALYZE["ANALYSIS CORE"]
D1["Function Detection"]
D2["Class Extraction"]
D3["Variable Tracking"]
D4["Complexity Analysis"]
D5["Dependency Mapping"]
D6["Control Flow Analysis"]
end
subgraph VIZ["VISUALIZATION NET"]
E1["Plotly Charts"]
E2["NetworkX Graphs"]
E3["Mermaid Flowcharts"]
E4["D3.js AST Trees"]
E5["HTML Reports"]
end
subgraph OUTPUT["OUTPUT LAYER"]
F1["Web Dashboard"]
F2["Report Downloads"]
F3["JSON Persistence"]
F4["API Response"]
end
A1 --> B1
A2 --> B2
A3 --> B3
A4 --> B1
B1 --> B4
B2 --> B4
B3 --> B4
B4 --> C1
B4 --> C2
B4 --> C3
B4 --> C4
C1 --> D1
C2 --> D2
C3 --> D3
C4 --> D4
D1 --> D5
D2 --> D5
D3 --> D6
D4 --> D6
D5 --> E1
D6 --> E2
D1 --> E3
D2 --> E4
D3 --> E5
D4 --> E5
E1 --> F1
E2 --> F2
E3 --> F3
E4 --> F4
E5 --> F1
E5 --> F2
graph LR
subgraph CLIENT["CLIENT BROWSER"]
C1["Home Page"]
C2["Analyzer"]
C3["Dashboard"]
C4["Visualization"]
C5["Reports"]
end
subgraph FLASK["FLASK SERVER"]
F1["Routes (app.py)"]
F2["Session Manager"]
F3["Theme Engine"]
end
subgraph ENGINE["ANALYSIS ENGINE"]
E1["analyzers.py"]
E2["detect_language()"]
E3["analyze_code()"]
end
subgraph VIZENGINE["VIZ ENGINE"]
V1["visualizer.py"]
V2["CodeVisualizer"]
V3["generate_report()"]
end
subgraph STORAGE["JSON STORAGE"]
S1["analyses.json"]
S2["files.json"]
S3["reports.json"]
end
subgraph STATIC["STATIC ASSETS"]
ST1["templates"]
ST2["css/style.css"]
ST3["js/main.js"]
end
C1 --> F1
C2 --> F1
C3 --> F1
C4 --> F1
C5 --> F1
F1 --> F2
F1 --> F3
F1 --> E1
E1 --> E2
E2 --> E3
E3 --> V1
V1 --> V2
V2 --> V3
V3 --> S1
V3 --> S2
V3 --> S3
F1 --> ST1
ST1 --> ST2
ST1 --> ST3
S1 --> C3
S2 --> C3
S3 --> C5
V2 --> C4
flowchart LR
subgraph USER["USER INTERFACE"]
U1["Paste Code"]
U2["Upload File"]
U3["API Call"]
end
subgraph ROUTER["FLASK ROUTER"]
R1["/analyzer Route"]
R2["Language Detection"]
R3["Security Check"]
end
subgraph ENGINE["ANALYSIS ENGINE"]
E1["AST Parser"]
E2["Function Scanner"]
E3["Class Mapper"]
E4["Complexity Calculator"]
E5["Dependency Resolver"]
end
subgraph VIZ["VISUALIZATION ENGINE"]
V1["Plotly Charts"]
V2["NetworkX Graphs"]
V3["Mermaid Flowcharts"]
V4["D3.js Trees"]
V5["HTML Reports"]
end
subgraph STORAGE["PERSISTENCE LAYER"]
S1["analyses.json"]
S2["files.json"]
S3["reports.json"]
end
subgraph DASHBOARD["DASHBOARD"]
D1["History View"]
D2["Stats Cards"]
D3["Language Pie"]
D4["Report Manager"]
end
U1 --> R1
U2 --> R1
U3 --> R1
R1 --> R3
R3 --> R2
R2 --> E1
E1 --> E2
E2 --> E3
E3 --> E4
E4 --> E5
E5 --> V1
E5 --> V2
E5 --> V3
E5 --> V4
V1 --> V5
V2 --> V5
V3 --> V5
V4 --> V5
V1 --> S1
V2 --> S2
V3 --> S3
S1 --> D1
S2 --> D2
S3 --> D3
V5 --> D4
D1 --> U1
D2 --> U2
stateDiagram-v2
[*] --> IDLE
IDLE --> UPLOADING: User Uploads File
IDLE --> PASTING: User Pastes Code
IDLE --> API_CALL: POST /api/analyze
UPLOADING --> VALIDATING: File Received
PASTING --> VALIDATING: Code Received
API_CALL --> VALIDATING: JSON Parsed
VALIDATING --> DETECTING: File Valid
VALIDATING --> ERROR: Invalid File Type
VALIDATING --> ERROR: Empty Content
DETECTING --> PARSING: Language Confirmed
DETECTING --> ERROR: Unknown Language
PARSING --> ANALYZING: AST Generated
PARSING --> ERROR: Syntax Error
ANALYZING --> VISUALIZING: Metrics Computed
ANALYZING --> ERROR: Analysis Failed
VISUALIZING --> SAVING: Charts Rendered
VISUALIZING --> ERROR: Render Failed
SAVING --> DASHBOARD: JSON Saved
SAVING --> ERROR: Write Failed
DASHBOARD --> IDLE: User Navigates Away
DASHBOARD --> REPORTING: User Clicks Export
REPORTING --> COMPLETE: Report Generated
REPORTING --> ERROR: Export Failed
COMPLETE --> IDLE: Reset
ERROR --> IDLE: Flash Message
flowchart TD
START([Code Input]) --> EXT{Check File Extension}
EXT -->|py| PY[Python]
EXT -->|java| JAVA[Java]
EXT -->|c| C[C]
EXT -->|cpp hpp cc cxx| CPP[C++]
EXT -->|h| H{Header File}
H -->|C++ keywords| CPP
H -->|C keywords| C
H -->|Ambiguous| HEUR[Content Heuristics]
EXT -->|No Extension| HEUR
HEUR -->|def import class| PY
HEUR -->|public class package| JAVA
HEUR -->|include std class| CPP
HEUR -->|include printf struct| C
HEUR -->|Ambiguous| FALL[Fallback Python]
PY --> CONF{Confidence > 0.75}
JAVA --> CONF
C --> CONF
CPP --> CONF
FALL --> CONF
CONF -->|Yes| PARSE[Proceed to AST Parser]
CONF -->|No| WARN[Warning Low Confidence]
WARN --> PARSE
PARSE --> SUCCESS[Analysis Complete]
mindmap
root((Programming Visualization))
Core Analysis Engine
AST Parsing
Python ast Module
Java javalang
C pycparser
C++ Advanced Regex
Function Detection
Name Extraction
Parameter Mapping
Return Type Inference
Decorator Chain Analysis
Async Await Detection
Class Extraction
Inheritance Tree Builder
Method Enumeration
Attribute Catalog
Access Modifier Mapping
Abstract Class Detection
Import Analysis
Dependency Graph
Library Mapping
Version Tracking
Circular Import Detection
External vs Internal
Control Flow
Loop Detection
Condition Branches
Exception Handling
Return Path Analysis
Break Continue Tracking
Visualization Suite
AST Tree
Interactive D3.js
Zoom and Pan
Collapse Expand
Node Color Coding
Path Highlighting
Search and Filter
Call Graph
NetworkX Directed
Force-Directed Layout
Edge Weight Mapping
Community Detection
Cluster Coloring
Flowcharts
Mermaid SVG Engine
Execution Paths
Decision Diamonds
Loop Cycles
Parallel Branches
Export to PNG SVG
Metrics Charts
Plotly Interactive
Complexity Bar Charts
Code Composition Pie
Language Distribution
Sunburst Hierarchies
3D Surface Roadmap
Sunburst Charts
Function Hierarchy
Class Inheritance
Module Dependencies
Drill-Down Navigation
Line-by-Line
Execution Trace
Variable State Changes
Memory Allocation
Time per Line
Explanation Engine
Beginner Level
Simple Analogies
Everyday Concepts
Step-by-Step Walkthrough
Visual Metaphors
Intermediate Level
Technical Terminology
Design Patterns
Code Smells
Best Practices
Advanced Level
Complexity Theory
Algorithm Analysis
Architecture Deep Dive
Optimization Strategies
Line-by-Line Breakdown
Every Line Explained
Variable Purpose
Side Effects
Performance Impact
Report Generation
HTML Reports
Styled Templates
Embedded Charts
Print Optimized
Dark Light Themes
JSON Reports
Machine Readable
API Compatible
Schema Validated
Nested Structures
TXT Reports
Plain Text Summary
Quick Export
CLI Friendly
Diff Compatible
PDF Export
Documentation Ready
Printable Format
Page Layout
Table of Contents
Platform Features
Dark Mode
Glassmorphism Cards
Neon Accent Colors
OLED Black Background
Reduced Eye Strain
Light Mode
Clean White Theme
Soft Shadows
High Contrast
Print Friendly
Responsive Design
Mobile First
Tablet Optimized
Desktop Enhanced
Touch Gestures
History and Persistence
JSON File Storage
Auto-Save Analysis
Revisit Past Work
Delete and Manage
Theme System
Session Persistence
API Toggle
Instant Switch
Cookie Storage
Security and Performance
File Validation
Extension Whitelist
MIME Type Check
Size Limit 16MB
Malware Scanning
Speed Optimization
Lazy Loading
Chart Caching
Async Processing
Memory Management
Error Handling
Graceful Degradation
Flash Messages
Logging System
Traceback Capture
pie showData
title Language Support Distribution
"Python" : 95
"Java" : 30
"C" : 15
"C++" : 10
graph TB
subgraph DEV["DEVELOPMENT"]
D1["Git Clone"]
D2["Virtual Env"]
D3["pip install"]
D4["python app.py"]
D5["localhost:5000"]
end
subgraph DOCKER["DOCKER"]
DO1["docker build"]
DO2["docker run"]
DO3["localhost:7860"]
end
subgraph HF["HUGGING FACE"]
H1["Create Space"]
H2["Docker SDK"]
H3["git push"]
H4["Auto Deploy"]
end
subgraph CLOUD["CLOUD"]
C1["AWS GCP Azure"]
C2["Docker Container"]
C3["Load Balancer"]
C4["SSL HTTPS"]
end
D1 --> D2 --> D3 --> D4 --> D5
DO1 --> DO2 --> DO3
H1 --> H2 --> H3 --> H4
C1 --> C2 --> C3 --> C4
# Clone the neural engine
git clone https://github.com/issu321/Programming-Visualization.git
cd Programming-Visualization
# Windows
install.bat
# Linux / Mac
chmod +x install.sh && ./install.sh
# Docker
docker build -t programming-visualization .
docker run -p 7860:7860 programming-visualization
# Open Browser
# http://localhost:5000 (Local)
# http://localhost:7860 (Docker)journey
title Installation Journey
section Clone
Clone Repo: 5: User
section Environment
Create Venv: 5: System
Activate Venv: 5: User
section Dependencies
Install Requirements: 5: System
Verify Packages: 4: System
section Launch
Run App: 5: User
Open Browser: 5: User
section Verify
Test Analyzer: 5: User
Check Dashboard: 5: User
sequenceDiagram
autonumber
participant CLIENT as Client Browser
participant FLASK as Flask Server
participant ANALYZER as analyzers.py
participant VIZ as visualizer.py
participant JSON as JSON Storage
CLIENT->>FLASK: POST /api/analyze
FLASK->>FLASK: detect_language(code, filename)
FLASK->>ANALYZER: analyze_code(code, filename)
ANALYZER->>ANALYZER: Parse AST Language Specific
ANALYZER->>ANALYZER: Extract Functions
ANALYZER->>ANALYZER: Extract Classes
ANALYZER->>ANALYZER: Calculate Complexity
ANALYZER->>ANALYZER: Map Dependencies
ANALYZER-->>FLASK: analysis_result
FLASK->>VIZ: generate_all_visualizations()
VIZ->>VIZ: Plotly Charts
VIZ->>VIZ: NetworkX Graphs
VIZ->>VIZ: Mermaid Flowcharts
VIZ->>VIZ: D3.js AST Trees
VIZ-->>FLASK: visualizations
FLASK->>JSON: _save_analysis()
JSON-->>FLASK: analysis_id
FLASK-->>CLIENT: 200 OK JSON Response
CLIENT->>FLASK: GET /visualization/42
FLASK->>JSON: _get_analysis_by_id(42)
JSON-->>FLASK: analysis
FLASK-->>CLIENT: Render visualization.html
| Method | Endpoint | Description | Auth |
|---|---|---|---|
| GET | / | Home Page with Stats | Public |
| GET | /analyzer | Code Input Interface | Public |
| POST | /analyze | Submit Code for Analysis | Public |
| GET | /visualization/id | View Analysis Results | Public |
| GET | /dashboard | Analysis History | Public |
| GET | /reports | Report Management | Public |
| GET | /database | Stats and Data View | Public |
| POST | /api/analyze | REST API Analysis | Public |
| GET | /api/stats | Platform Statistics | Public |
| POST | /api/theme | Toggle Theme | Public |
// REQUEST: POST /api/analyze
{
"code": "def fibonacci(n):\n if n <= 1:\n return n\n return fibonacci(n-1) + fibonacci(n-2)",
"filename": "fibonacci.py"
}
// RESPONSE: 200 OK
{
"success": true,
"analysis_id": 42,
"analysis": {
"detected_language": "python",
"functions": [
{
"name": "fibonacci",
"parameters": ["n"],
"return_type": "inferred",
"complexity": "O(2^n)"
}
],
"classes": [],
"complexity": {
"cyclomatic": 2,
"cognitive": 3
}
},
"visualizations": {
"ast_tree": { "nodes": [], "edges": [] },
"call_graph": { "nodes": [], "edges": [] },
"flowchart": "graph TD; A[Start] --> B{n <= 1}",
"complexity_chart": { "data": [{"x": ["fibonacci"], "y": [2], "type": "bar"}] }
}
}
graph TD
ROOT["Programming-Visualization"] --> APP["app.py - Flask Application"]
ROOT --> ANA["analyzers.py - Code Analysis Engine"]
ROOT --> VIZ["visualizer.py - Visualization Generator"]
ROOT --> REQ["requirements.txt - Python Dependencies"]
ROOT --> DOCK["Dockerfile - Container Config"]
ROOT --> INST1["install.bat - Windows Installer"]
ROOT --> INST2["install.sh - Linux Installer"]
ROOT --> README["README.md - This File"]
ROOT --> LICENSE["LICENSE - MIT License"]
ROOT --> TEMPLATES["templates - Jinja2 HTML Templates"]
ROOT --> STATIC["static - CSS JS Images"]
ROOT --> UPLOADS["uploads - Uploaded Code Files"]
ROOT --> REPORTS["reports - Generated Reports"]
ROOT --> DATA["data - JSON Storage"]
TEMPLATES --> T1["base.html - Base Layout"]
TEMPLATES --> T2["home.html - Landing Page"]
TEMPLATES --> T3["analyzer.html - Code Input"]
TEMPLATES --> T4["visualization.html - Results and Charts"]
TEMPLATES --> T5["dashboard.html - History and Stats"]
TEMPLATES --> T6["reports.html - Report Manager"]
TEMPLATES --> T7["database.html - Data View"]
TEMPLATES --> T8["features.html - Feature Showcase"]
TEMPLATES --> T9["contact.html - Contact Page"]
STATIC --> CSS["css"]
STATIC --> JS["js"]
STATIC --> IMG["images"]
CSS --> C1["style.css - Glassmorphism + Neon Theme"]
JS --> J1["main.js - Interactivity + Theme Toggle"]
DATA --> D1["analyses.json - Analysis Results"]
DATA --> D2["files.json - Upload Metadata"]
DATA --> D3["reports.json - Report History"]
APP --> TEMPLATES
APP --> STATIC
APP --> DATA
ANA --> APP
VIZ --> APP
erDiagram
ANALYSIS ||--o{ FILE : contains
ANALYSIS ||--o{ REPORT : generates
FILE ||--o{ ANALYSIS : triggers
ANALYSIS {
int id PK
int user_id
string filename
string language
string code
json analysis_result
json visualizations
datetime created_at
}
FILE {
int id PK
int user_id
string filename
string filepath
string language
int file_size
datetime uploaded_at
}
REPORT {
int id PK
int user_id
int analysis_id FK
string report_type
string filepath
datetime created_at
}
journey
title Complete User Journey
section Upload
Paste Code: 5: User
Upload File: 5: User
Drag and Drop: 4: User
section Analyze
Auto Detect Language: 5: System
Parse AST: 5: System
Extract Metrics: 5: System
Generate Visualizations: 5: System
section Explore
View AST Tree: 5: User
Explore Call Graph: 4: User
Check Flowchart: 5: User
Read Explanations: 5: User
section Export
Download HTML Report: 5: User
Download JSON Data: 4: User
Download TXT Summary: 4: User
section History
Save to Dashboard: 5: System
View Past Analyses: 5: User
Compare Results: 3: User
flowchart TD
HOME["Home /"] --> ANALYZER["Analyzer /analyzer"]
HOME --> FEATURES["Features /features"]
HOME --> CONTACT["Contact /contact"]
ANALYZER --> ANALYZE["Analyze POST /analyze"]
ANALYZE --> VISUALIZATION["Visualization /visualization/id"]
VISUALIZATION --> DASHBOARD["Dashboard /dashboard"]
VISUALIZATION --> REPORTS["Reports /reports"]
VISUALIZATION --> API["API /api/analyze"]
DASHBOARD --> DATABASE["Data View /database"]
DASHBOARD --> ANALYZER
REPORTS --> GENERATE["Generate /generate_report/id/type"]
GENERATE --> DOWNLOAD["Download HTML JSON TXT"]
API --> JSON_RESPONSE["JSON Response"]
HOME --> THEME["Theme Toggle POST /api/theme"]
THEME --> HOME
graph TB
subgraph BACKEND["BACKEND CORE"]
B1["Python 3.11+ Core Language"]
B2["Flask 3.0.0 Web Framework"]
B3["Werkzeug 3.0.1 WSGI Utilities"]
B4["Jinja2 Template Engine"]
B5["JSON Storage File-based Persistence"]
end
subgraph PARSERS["LANGUAGE PARSERS"]
P1["ast Python Built-in AST Generation"]
P2["javalang 0.13.0 Java Parser"]
P3["pycparser 2.21 C Parser"]
P4["Regex Engine C++ Heuristics"]
end
subgraph VIZLIBS["VISUALIZATION LIBRARIES"]
V1["Plotly 5.18.0 Interactive Charts"]
V2["NetworkX 3.2.1 Graph Algorithms"]
V3["Mermaid 10.x Flowchart Engine"]
V4["D3.js CDN Tree Visualization"]
end
subgraph FRONTEND["FRONTEND"]
F1["HTML5 Semantic Structure"]
F2["CSS3 Glassmorphism + Neon Animations"]
F3["JavaScript Vanilla Interactivity"]
F4["Font Awesome Icon System"]
F5["Google Fonts JetBrains Mono Typography"]
end
subgraph DESIGN["DESIGN SYSTEM"]
D1["Glassmorphism Frosted Glass Backdrop Blur"]
D2["Claymorphism Soft 3D Shadows Rounded Depth"]
D3["Neon Theme Cyan + Magenta"]
D4["Dark Light Mode Session Persistence Instant Toggle"]
end
B1 --> B2
B2 --> B3
B3 --> B4
B4 --> B5
B2 --> P1
B2 --> P2
B2 --> P3
B2 --> P4
P1 --> V1
P2 --> V2
P3 --> V3
P4 --> V4
V1 --> F1
V2 --> F2
V3 --> F3
V4 --> F3
F1 --> D1
F2 --> D2
F3 --> D3
D1 --> D4
D2 --> D4
D3 --> D4
graph LR
subgraph DONE["COMPLETED"]
D1["Flask Backend"]
D2["JSON Storage"]
D3["Multi-Language Parser"]
D4["Theme System"]
D5["Plotly Charts"]
D6["NetworkX Graphs"]
D7["Mermaid Flowcharts"]
D8["Docker Deploy"]
D9["Hugging Face Spaces"]
end
subgraph ACTIVE["IN PROGRESS"]
A1["D3.js AST Trees"]
A2["Complexity Predictor"]
end
subgraph FUTURE["PLANNED"]
F1["3D Code City"]
F2["Code Smell Detector"]
F3["Auto-Refactor Suggest"]
F4["Natural Language Query"]
F5["User Authentication"]
F6["Cloud Scaling"]
end
D1 --> D2 --> D3 --> D4 --> D5 --> D6 --> D7 --> D8 --> D9
D9 --> A1 --> A2
A2 --> F1 --> F2 --> F3 --> F4 --> F5 --> F6
graph LR
subgraph FORK["FORK AND BRANCH"]
F1["Fork Repository on GitHub"]
F2["Clone Fork git clone"]
F3["Create Branch feature xyz"]
end
subgraph CODE["DEVELOP"]
C1["Write Code"]
C2["Run Tests"]
C3["Commit git commit -m"]
end
subgraph PUSH["SUBMIT"]
P1["Push to Origin git push"]
P2["Open Pull Request"]
P3["Code Review"]
end
subgraph MERGE["MERGE"]
M1["Approve and Merge"]
M2["Deploy to Production"]
M3["Celebrate"]
end
F1 --> F2 --> F3 --> C1 --> C2 --> C3 --> P1 --> P2 --> P3 --> M1 --> M2 --> M3
graph LR
subgraph GIT["GIT BRANCHING MODEL"]
MAIN["main"]
F1["feature ast-parser"]
F2["feature visualizations"]
F3["feature json-storage"]
F4["feature themes"]
end
MAIN --> C1["Initial Commit"]
MAIN --> C2["Flask Setup"]
C2 --> F1
F1 --> C3["Python AST"]
F1 --> C4["Java Parser"]
F1 --> C5["C Parser"]
C5 --> MR1["Merge AST"]
MR1 --> MAIN2["main"]
MAIN2 --> F2
F2 --> C6["Plotly Charts"]
F2 --> C7["NetworkX Graphs"]
F2 --> C8["Mermaid Flowcharts"]
C8 --> MR2["Merge Viz"]
MR2 --> MAIN3["main"]
MAIN3 --> F3
F3 --> C9["Remove SQLite"]
F3 --> C10["JSON Engine"]
C10 --> MR3["Merge JSON"]
MR3 --> MAIN4["main"]
MAIN4 --> F4
F4 --> C11["Dark Mode"]
F4 --> C12["Light Mode"]
C12 --> MR4["Merge Themes"]
MR4 --> MAIN5["main"]
MAIN5 --> C13["v1.0 Release"]
graph LR
subgraph BENCH["PARSING SPEED BENCHMARKS"]
B1["Python AST 50ms Ultra Fast"]
B2["Java Parse 120ms Fast"]
B3["C Parse 80ms Fast"]
B4["C++ Parse 150ms Fast"]
B5["Plotly Render 200ms Smooth"]
B6["NetworkX Graph 100ms Smooth"]
B7["Mermaid Flowchart 80ms Ultra Fast"]
B8["D3.js Tree 250ms Smooth"]
end
graph TD
subgraph SEC["SECURITY LAYERS"]
S1["Input Validation File Extension Whitelist MIME Type Check Size Limit 16MB"]
S2["Secret Management ENV Variables Session Keys CSRF Protection"]
S3["File Sanitization Secure Filename UUID Prefix Path Traversal Block"]
S4["Error Handling No Stack Trace Leak Flash Messages Logging Only"]
S5["CORS and Headers Content Security Policy X-Frame-Options Secure Cookies"]
end
flowchart TD
START([User Action]) --> TRY{Try Block}
TRY -->|Success| PROCESS[Process Request]
PROCESS --> RETURN[Return Response]
RETURN --> END([Success])
TRY -->|Exception| CATCH{Catch Block}
CATCH -->|ValueError| VAL_ERR["Invalid Input Flash Warning"]
CATCH -->|FileNotFound| FILE_ERR["File Missing Flash Error"]
CATCH -->|JSONDecode| JSON_ERR["Corrupt Data Reset to Default"]
CATCH -->|Unhandled| UNK_ERR["Server Error Log Traceback"]
VAL_ERR --> REDIRECT[Redirect to Safe Page]
FILE_ERR --> REDIRECT
JSON_ERR --> REDIRECT
UNK_ERR --> REDIRECT
REDIRECT --> END2([Recovery])
MIT License
Copyright (c) 2024 issu321 (Mohammed Usman)
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.
  AI Developer - Viz Engineer - Open Source 
|
Built with love, fire, and a lot of coffee by Mohammed Usman
Transforming code into cognition, one visualization at a time.
