feat: add real-time flow simulation engine and clickable rVote proposal links

Replace random-noise simulation with actual flow logic: inflow accumulation,
threshold-gated overflow distribution to downstream funnels, spending drain
to outcomes, and auto status transitions. Outcomes linked to rVote proposals
are now clickable links opening the live proposal on rvote.online.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
Jeff Emmett 2026-02-15 13:59:13 -07:00
parent 216df8c06a
commit 42942cc962
3 changed files with 147 additions and 33 deletions

View File

@ -23,6 +23,7 @@ import StreamEdge from './edges/StreamEdge'
import IntegrationPanel from './IntegrationPanel'
import type { FlowNode, FlowEdge, FunnelNodeData, OutcomeNodeData, IntegrationConfig, AllocationEdgeData } from '@/lib/types'
import { SPENDING_COLORS, OVERFLOW_COLORS } from '@/lib/presets'
import { simulateTick } from '@/lib/simulation'
const nodeTypes = {
funnel: FunnelNode,
@ -523,41 +524,13 @@ function FlowCanvasInner({ initialNodes: initNodes, mode, onNodesChange, integra
])
}, [setNodes, screenToFlowPosition])
// Simulation
// Simulation — real flow logic (inflow → overflow → spending → outcomes)
useEffect(() => {
if (!isSimulating) return
const interval = setInterval(() => {
setNodes((nds) =>
nds.map((node) => {
if (node.type === 'funnel') {
const data = node.data as FunnelNodeData
const change = (Math.random() - 0.45) * 300
return {
...node,
data: {
...data,
currentValue: Math.max(0, Math.min(data.maxCapacity * 1.1, data.currentValue + change)),
},
}
} else if (node.type === 'outcome') {
const data = node.data as OutcomeNodeData
const change = Math.random() * 80
const newReceived = Math.min(data.fundingTarget * 1.05, data.fundingReceived + change)
return {
...node,
data: {
...data,
fundingReceived: newReceived,
status: newReceived >= data.fundingTarget ? 'completed' :
data.status === 'not-started' && newReceived > 0 ? 'in-progress' : data.status,
},
}
}
return node
})
)
}, 500)
setNodes((nds) => simulateTick(nds as FlowNode[]))
}, 1000)
return () => clearInterval(interval)
}, [isSimulating, setNodes])

View File

@ -45,11 +45,24 @@ function OutcomeNode({ data, selected }: NodeProps) {
</div>
<div className="min-w-0">
<span className="font-semibold text-slate-800 text-sm truncate block">{label}</span>
{nodeData.source?.type === 'rvote' && (
{nodeData.source?.type === 'rvote' && nodeData.source.rvoteSpaceSlug && nodeData.source.rvoteProposalId ? (
<a
href={`https://rvote.online/s/${nodeData.source.rvoteSpaceSlug}/proposal/${nodeData.source.rvoteProposalId}`}
target="_blank"
rel="noopener noreferrer"
className="text-[9px] text-violet-500 font-medium hover:text-violet-700 hover:underline inline-flex items-center gap-0.5 transition-colors"
onClick={(e) => e.stopPropagation()}
>
rVote &bull; score +{nodeData.source.rvoteProposalScore ?? 0}
<svg className="w-2.5 h-2.5" fill="none" viewBox="0 0 24 24" stroke="currentColor">
<path strokeLinecap="round" strokeLinejoin="round" strokeWidth={2} d="M10 6H6a2 2 0 00-2 2v10a2 2 0 002 2h10a2 2 0 002-2v-4M14 4h6m0 0v6m0-6L10 14" />
</svg>
</a>
) : nodeData.source?.type === 'rvote' ? (
<span className="text-[9px] text-violet-500 font-medium">
rVote &bull; score +{nodeData.source.rvoteProposalScore ?? 0}
</span>
)}
) : null}
</div>
</div>
</div>

128
lib/simulation.ts Normal file
View File

@ -0,0 +1,128 @@
/**
* Flow simulation engine pure function, no React dependencies.
*
* Replaces the random-noise simulation with actual flow logic:
* inflow overflow distribution spending drain outcome accumulation
*/
import type { FlowNode, FunnelNodeData, OutcomeNodeData } from './types'
export interface SimulationConfig {
tickDivisor: number // inflowRate divided by this per tick
spendingRateHealthy: number // drain multiplier in healthy zone
spendingRateOverflow: number // drain multiplier above maxThreshold
spendingRateCritical: number // drain multiplier below minThreshold
}
export const DEFAULT_CONFIG: SimulationConfig = {
tickDivisor: 10,
spendingRateHealthy: 0.5,
spendingRateOverflow: 0.8,
spendingRateCritical: 0.1,
}
export function simulateTick(
nodes: FlowNode[],
config: SimulationConfig = DEFAULT_CONFIG,
): FlowNode[] {
const { tickDivisor, spendingRateHealthy, spendingRateOverflow, spendingRateCritical } = config
// Separate funnels (sorted top-to-bottom) from outcomes
const funnelNodes = nodes
.filter((n) => n.type === 'funnel')
.sort((a, b) => a.position.y - b.position.y)
// Accumulators for inter-node transfers
const overflowIncoming = new Map<string, number>()
const spendingIncoming = new Map<string, number>()
// Store updated funnel data
const updatedFunnels = new Map<string, FunnelNodeData>()
for (const node of funnelNodes) {
const src = node.data as FunnelNodeData
const data: FunnelNodeData = { ...src }
// 1. Natural inflow
let value = data.currentValue + data.inflowRate / tickDivisor
// 2. Overflow received from upstream funnels
value += overflowIncoming.get(node.id) ?? 0
// 3. Cap at maxCapacity
value = Math.min(value, data.maxCapacity)
// 4. Distribute overflow when above maxThreshold
if (value > data.maxThreshold && data.overflowAllocations.length > 0) {
const excess = value - data.maxThreshold
for (const alloc of data.overflowAllocations) {
const share = excess * (alloc.percentage / 100)
overflowIncoming.set(
alloc.targetId,
(overflowIncoming.get(alloc.targetId) ?? 0) + share,
)
}
value = data.maxThreshold
}
// 5. Spending drain (gated by zone)
if (value > 0 && data.spendingAllocations.length > 0) {
let rateMultiplier: number
if (value > data.maxThreshold) {
rateMultiplier = spendingRateOverflow
} else if (value >= data.minThreshold) {
rateMultiplier = spendingRateHealthy
} else {
rateMultiplier = spendingRateCritical
}
let drain = (data.inflowRate / tickDivisor) * rateMultiplier
drain = Math.min(drain, value) // cannot drain below 0
value -= drain
for (const alloc of data.spendingAllocations) {
const share = drain * (alloc.percentage / 100)
spendingIncoming.set(
alloc.targetId,
(spendingIncoming.get(alloc.targetId) ?? 0) + share,
)
}
}
data.currentValue = Math.max(0, value)
updatedFunnels.set(node.id, data)
}
// Rebuild node array with updated data
return nodes.map((node) => {
if (node.type === 'funnel' && updatedFunnels.has(node.id)) {
return { ...node, data: updatedFunnels.get(node.id)! }
}
if (node.type === 'outcome') {
const data = node.data as OutcomeNodeData
const incoming = spendingIncoming.get(node.id) ?? 0
if (incoming <= 0) return node
const newReceived = Math.min(
data.fundingTarget > 0 ? data.fundingTarget * 1.05 : Infinity,
data.fundingReceived + incoming,
)
let newStatus = data.status
if (data.fundingTarget > 0 && newReceived >= data.fundingTarget && newStatus !== 'blocked') {
newStatus = 'completed'
} else if (newReceived > 0 && newStatus === 'not-started') {
newStatus = 'in-progress'
}
return {
...node,
data: { ...data, fundingReceived: newReceived, status: newStatus },
}
}
return node
})
}