MongoDB plan
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# Graph Discovery Plan
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Status: draft
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Goal: make MongoDB graph discovery visible as a dynamic learning observatory
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## Must-Have
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1. Keep live materializer as source of graph truth.
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2. Add optional loop and activity fields.
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3. Build a dynamic graph layout.
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4. Default to risk path.
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5. Make selected-node detail explain the story.
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## Build Order
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### R1: Stabilize discovered graph
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- Keep file and engineer noise filters.
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- Keep collision collapse.
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- Keep priority for accepted-outcome paths.
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- Keep graph size capped.
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### R2: Add observatory data
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- Compute learning-loop snapshot.
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- Compute activity stream.
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- Preserve current graph contract.
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### R3: Improve path selection
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- Pick one primary risk path.
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- Include learned path when present.
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- Dim unrelated collisions and repeated interventions.
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### R4: Render dynamically
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- Use `d3-force` or animated layered layout.
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- Make nodes draggable.
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- Curve or bundle edges.
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- Animate `learned_from`.
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### R5: Verify with real data
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- Fetch live `demo-pod` graph.
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- Confirm labels do not collide badly.
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- Confirm red edges do not dominate.
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- Confirm activity and loop explain the graph.
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## Nice-to-Have
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- Reachability panel using `$graphLookup`.
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- Hover path previews.
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- Edge bundling by file or collision.
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- Time scrubber for graph snapshots.
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## Cut
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- Generic analytics dashboard.
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- Large graph database migration.
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- Rendering every historical event.
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- Static fixed-column final layout.
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## Acceptance Criteria
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- Risk path is obvious in 10 seconds.
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- Learned path is visible when data exists.
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- Whole graph mode exists but is not the default.
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- The graph remains backed by MongoDB, not hardcoded mock data.
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