How gasimelzamzamy/sonar works
This Flask social-network analysis application models users and weighted, undirected connections, then presents network visualizations and analysis through a web interface. The principal workflow is user request → Flask routes → persisted graph/model → selected analysis or graph operation → response and visualization. Documented capabilities include traversal, shortest paths, coloring, centrality, graph editing, and JSON/CSV import and export. The excerpts show route dispatch, graph persistence, algorithms, and rendering; some route details and template contents are unsampled, so uncertain wiring is omitted.
Main entry points: routes.py Routes and API · models.py NetworkX graph · algorithms.py Algorithm dispatch · __init__.py Flask app setup
Components 16
Web interface
- Flask app setup
app/__init__.py - Routes and API
app/routes.py - Web template
app/templates/base.html - Interactive graph rendering
app/routes.py
Graph domain
- Social graph model
app/models.py - User and edge model
app/models.py - NetworkX graph
app/models.py
Network analysis
- Algorithm dispatch
app/algorithms.py - Dijkstra and A*
app/algorithms.py - BFS and DFS
app/algorithms.py - Welsh–Powell coloring
app/algorithms.py - Degree centrality
app/models.py
Data management
- Persisted graph
data/sonar_data.json - JSON and CSV transfer
app/routes.py
Other components
- User
- PyVis renderer
Connections 23
- User → Flask app setup: opens app
- Flask app setup → Routes and API: registers routes
- User → Routes and API: sends requests
- Routes and API → Web template: renders UI
- Routes and API → Social graph model: loads or edits
- Social graph model → User and edge model: manages entities
- Social graph model → NetworkX graph: updates graph
- Social graph model → Persisted graph: reads and writes
- Routes and API → Algorithm dispatch: dispatches analysis
- Algorithm dispatch → Dijkstra and A*: runs paths
- Algorithm dispatch → BFS and DFS: runs traversal
- Algorithm dispatch → Welsh–Powell coloring: runs coloring
- Dijkstra and A* → NetworkX graph: queries graph
- BFS and DFS → NetworkX graph: traverses graph
- Welsh–Powell coloring → NetworkX graph: colors graph
- Routes and API → Degree centrality: requests influencers
- Degree centrality → NetworkX graph: measures degrees
- Routes and API → JSON and CSV transfer: handles transfer
- JSON and CSV transfer → Social graph model: imports or exports
- Routes and API → Interactive graph rendering: requests graph HTML
- Interactive graph rendering → NetworkX graph: renders graph data
- Interactive graph rendering → PyVis renderer: generates HTML
- Routes and API → User: returns results