User Story: Interactive Dependency Graph Visualization

Catálogo histórico

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Estado de fase (MASTER-00): POST_MVP — documento de catálogo de producto sujeto a validación; no es alcance aprobado de Gate 0 / PoC / MVP. Gobernanza: MASTER-00.

User Story: Interactive Dependency Graph Visualization

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User Story Statement

As a software developer, architect, or engineering manager,
I want an interactive visual graph canvas displaying all atomic documentation nodes and directed edges with real-time filtering, search, zoom/pan, and node detail inspection,
So that I can intuitively comprehend system architecture dependencies, navigate documentation visually, and identify structural relationships across the project.

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Business Rationale & User Impact

The interactive dependency graph is the signature visual feature of DocuGraph. Traditional documentation systems present specifications as flat lists of files, obscuring parent-child relationships and making dependency analysis tedious. As defined in VISION-00, transforming static Markdown headers into an interactive DAG canvas enables software architects to instantly evaluate system complexity and identify architectural bottlenecks.

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User Flow & Interaction Overview

1. User selects an indexed project (US-02) from the Project Dashboard (FE-02).
2. Client sends request to backend endpoint operationId: buildGraph to retrieve project node and edge lists.
3. Graph Engine parses node frontmatters (:docugraph-core) and constructs DAG adjacency matrices.
4. Compose Graph Canvas (FE-03) renders visual nodes (color-coded by type: user_story, root_doc, backend_spec, frontend_spec, database_schema) and directed edges (depends_on).
5. User navigates canvas via pinch-to-zoom, pan, or click-and-drag node positioning.
6. User applies dynamic tag/type filters or enters text search queries to highlight relevant subgraphs.
7. Clicking any node slides open the Node Inspector drawer (FE-04), displaying YAML metadata, rendered Markdown content, and direct navigation links to dependent files.

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Acceptance Criteria (Gherkin Format)

Scenario 1: DAG Canvas Rendering

Given an indexed documentation project with valid atomic nodes and explicit dependency links
When the user opens the Graph View screen
Then the client dispatches a request to build the dependency graph (operationId: buildGraph)
And upon receiving node records (table: nodes) and edge records (table: node_edges)
Then the GraphCanvas component (FE-03) visually renders all atomic nodes with color coding matching their document type
And directed arrows connect parent nodes to child nodes strictly adhering to "depends_on" metadata

Scenario 2: Interactive Canvas Navigation (Pan & Zoom)

Given a rendered dependency graph canvas containing 50+ documentation nodes
When the user performs touch pinch-to-zoom or mouse scroll wheel zooming
Then the canvas smoothly scales node dimensions and font sizes between 0.25x and 3.0x magnification
And when the user performs click-and-drag panning
Then the canvas viewport shifts seamlessly across the 2D coordinate space at 60 FPS

Scenario 3: Multi-Criteria Dynamic Filtering & Search

Given a displayed graph canvas with diverse document types and tags
When the user selects filter criteria "type: user_story" and "tag: auth"
Then non-matching nodes are instantly hidden with smooth fade animations
And non-relevant directed edges are hidden
And the canvas dynamically auto-centers on the active matching subgraph

Scenario 4: Node Inspector Slide-out Panel Inspection

Given a displayed node representing "US-01" on the graph canvas
When the user clicks or taps on the node
Then the selected node receives a visual highlight focus border
And the Node Inspector drawer (FE-04) slides out from the right margin
And displays the full YAML frontmatter, rendered Markdown body text, upstream dependencies, and downstream linkage buttons

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Functional Requirements & Constraints

1. Rendering Performance: The Compose Graph Canvas (FE-03) must render up to 1,000 nodes and 2,500 edges at a minimum of 60 frames per second on desktop and tablet devices.
2. Layout Engine: Nodes must be positioned using a force-directed layout algorithm with hierarchical fallback for structured DAG layers.
3. Multiplatform Parity: Gesture interactions (pinch-to-zoom on touchscreens, trackpad pan gestures, mouse wheel drag) must feel native across Android, iOS, and Desktop (JVM) targets.

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Downstream Atomic Mapping

This User Story serves as the direct upstream source of truth for the following downstream specifications:

• Interaction Specification: IX-03_graph-inspection-flow.md (IX-03) — Graph canvas gesture interactions, node selection logic, and drawer animations.
• Backend Specification: BE-03_graph-build.md (BE-03) — Ktor route handler for GET /api/v1/projects/{id}/graph.
• API Contract: openapi.yaml — Single source of truth for REST endpoint with operationId: buildGraph.
• Frontend Specifications:
  • FE-03_graph-canvas.md (FE-03) — Interactive Compose Graph Canvas component.
  • FE-04_node-inspector.md (FE-04) — Slide-out Node Inspector panel component.
• Database Schema: 01_DATABASE_SCHEMA.md (table: nodes, table: node_edges) — Relational nodes and edge graph storage.

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Traceability Index

• Upstream Dependencies:
  • docs/00_BUSINESS_VISION.md (VISION-00) — Core Visual Product Intent.
  • US-02_create_project.md (US-02) — Indexed Project Workspace requirement.
• Downstream Direct Linkages (Planned M2/M3):
  • IX-03_graph-inspection-flow.md (IX-03)
  • BE-03_graph-build.md (BE-03)
  • FE-03_graph-canvas.md (FE-03)
  • FE-04_node-inspector.md (FE-04)
• Related Stories:
  • US-04_get_task_context.md (US-04) — Node selection powering MCP context bundle extraction.
  • US-05_validate_traceability.md (US-05) — Visual rendering of graph validation errors.