Voyager Visualization
Interactive web-based visualization of your UseCase service structure and ER entity relationships. Mount it to FastAPI and explore your model in the browser.
Step 1: Mount Voyager
from nexusx.voyager import create_use_case_voyager
from nexusx.use_case import UseCaseAppConfig
from fastapi import FastAPI
voyager = create_use_case_voyager(
apps=[
UseCaseAppConfig(name="project", services=[SprintService, TaskService]),
],
er_manager=er, # Optional: show ER diagram alongside service graph
)
app = FastAPI()
app.mount("/voyager", voyager)
Visit http://localhost:8000/voyager. You'll see two views:
Service graph
Displays your UseCaseService methods, their parameters, return types, and inter-service dependencies:
- Method signatures in SDL format
- DTO type definitions
- Cross-service call relationships
ER entity diagram
When you pass er_manager, Voyager shows the full entity relationship graph:
- SQLModel entities and their fields
- ORM relationships (ForeignKey / Relationship)
- Custom relationships (
__relationships__) - DefineSubset DTO → source entity mappings
Voyager displays the TaskDTO → Task subset relationship along with the selected fields.
Step 2: Share Configuration with MCP
Voyager and MCP use the same UseCaseAppConfig — one configuration, two presentations:
from nexusx.use_case import UseCaseAppConfig, create_use_case_graphql_mcp_server
from nexusx.voyager import create_use_case_voyager
apps = [
UseCaseAppConfig(
name="project",
services=[SprintService, TaskService],
),
]
# MCP service (AI agents)
mcp = create_use_case_graphql_mcp_server(apps=apps, name="API")
# Voyager visualization (developers)
voyager = create_use_case_voyager(apps=apps, er_manager=er)
app = FastAPI()
app.mount("/mcp", mcp)
app.mount("/voyager", voyager)
AI agents discover and call services via MCP. Developers explore the same services interactively via Voyager. Both see the same structure.
Configuration
Parameters
| Parameter | Type | Default | Description |
|---|---|---|---|
apps |
list[UseCaseAppConfig] |
— | Application configuration list |
er_manager |
ErManager \| None |
None |
ErManager instance for ER diagram |
name |
str |
"UseCase API" |
Project name in UI title |
module_colors |
dict[str, str] \| None |
None |
Custom colors for service modules |
initial_page_policy |
"first" / "full" / "empty" |
"first" |
Initial page loading policy |
online_repo_url |
str \| None |
None |
Repository URL for source code links |
version |
str |
"1.0.0" |
Version in UI |
REST endpoints
| Endpoint | Method | Description |
|---|---|---|
/dot |
GET | Service dependency graph in DOT format |
/dot-search |
GET | Searchable and filterable DOT graph |
/er-diagram |
GET | Mermaid ER diagram (requires er_manager) |
/source |
GET | Source code information for service methods |
Recap
- Mount Voyager to FastAPI with a single
app.mount()call - Service graph shows UseCaseService methods, DTOs, and dependencies
- ER diagram shows entity relationships and DefineSubset mappings
- Shares the same
UseCaseAppConfigas MCP — one config, two presentations
Next Steps
- ER Diagram Visualization — Mermaid output and Voyager basics
- UseCase Service — Define the services that Voyager displays
- MCP Service — Expose the same services to AI agents