"""Workspace summary catalog resource."""
from fastmcp import Context
from src.app import mcp
from src.shared.catalog.summary import generate_workspace_summary
@mcp.resource("catalog://workspace/summary/{_dummy}")
def get_workspace_summary(_dummy: str = "overview", ctx: Context | None = None) -> dict:
"""Provide a high-level summary of all configured workspaces.
Returns counts by dataset type, CRS distribution, format distribution,
and size statistics to help AI understand workspace contents at a glance.
This resource is ideal for:
- Initial workspace exploration
- Understanding data diversity (formats, projections)
- Planning batch operations across similar datasets
- Identifying dominant CRS for workflow alignment
Args:
_dummy: Placeholder parameter (use 'overview' or any value)
ctx: Optional context for logging
"""
if ctx:
ctx.info("[catalog://workspace/summary] Generating workspace summary")
summary = generate_workspace_summary(ctx=ctx)
return summary.model_dump()
