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import {
StrategyAssignment,
StrategyGenome,
StrategyPortfolio,
RoleType,
AssignmentReason,
StrategyClass,
StrategyContextCondition,
} from "@/types";
import { loadStrategyAssignments, saveStrategyAssignments, loadStrategies } from "@/lib/config";
import { ensureStrategiesSeeded, listStrategiesByRole } from "@/lib/strategy/library";
const now = () => new Date().toISOString();
const MAX_PROVEN = 3;
const MAX_PERSONALIZED = 2;
const MAX_EXPERIMENTAL = 1;
const TARGET_EXPLORE_RATIO = 0.3;
// βββ Context Matching ββββββββββββββββββββββββββββββββββββββββββββββ
export interface EmployeeContext {
employeeId: string;
role: RoleType;
territoryType?: string;
workloadLevel?: "low" | "medium" | "high";
stakeholderSegment?: string;
productPortfolio?: string[];
}
function contextMatches(
conditions: StrategyContextCondition[],
ctx: EmployeeContext
): boolean {
if (conditions.length === 0) return true;
return conditions.every((c) => {
let actualValue: unknown;
switch (c.field) {
case "role":
actualValue = ctx.role;
break;
case "territory_type":
actualValue = ctx.territoryType || "geographic";
break;
case "workload_level":
actualValue = ctx.workloadLevel || "medium";
break;
case "stakeholder_segment":
actualValue = ctx.stakeholderSegment || "mixed";
break;
case "product_portfolio":
actualValue = ctx.productPortfolio || [];
break;
default:
return true;
}
switch (c.operator) {
case "equals":
return actualValue === c.value;
case "contains":
if (typeof actualValue === "string" && typeof c.value === "string") {
return actualValue.includes(c.value);
}
if (Array.isArray(actualValue) && typeof c.value === "string") {
return actualValue.includes(c.value);
}
return false;
case "in_range":
if (Array.isArray(c.value) && typeof actualValue === "string") {
return c.value.includes(actualValue);
}
return false;
case "greater_than":
return typeof actualValue === "number" && typeof c.value === "number" && actualValue > c.value;
case "less_than":
return typeof actualValue === "number" && typeof c.value === "number" && actualValue < c.value;
default:
return true;
}
});
}
// βββ Assignment Store ββββββββββββββββββββββββββββββββββββββββββββββ
export function listAssignments(): StrategyAssignment[] {
return loadStrategyAssignments();
}
export function getAssignmentsForEmployee(employeeId: string): StrategyAssignment[] {
return loadStrategyAssignments().filter((a) => a.employeeId === employeeId && a.active);
}
export function getAssignmentById(id: string): StrategyAssignment | undefined {
return loadStrategyAssignments().find((a) => a.id === id);
}
export function upsertAssignment(assignment: StrategyAssignment): void {
const all = loadStrategyAssignments();
const idx = all.findIndex((a) => a.id === assignment.id);
if (idx >= 0) {
all[idx] = assignment;
} else {
all.push(assignment);
}
saveStrategyAssignments(all);
}
export function deactivateAssignment(id: string): void {
const all = loadStrategyAssignments();
const idx = all.findIndex((a) => a.id === id);
if (idx >= 0) {
all[idx].active = false;
all[idx].deactivatedAt = now();
saveStrategyAssignments(all);
}
}
// βββ Explore-vs-Exploit Engine βββββββββββββββββββββββββββββββββββββ
export function computeExploreRatio(assignments: StrategyAssignment[]): number {
if (assignments.length === 0) return 0;
const exploreCount = assignments.filter(
(a) => a.assignmentReason === "explore" || a.strategyClass === "experimental"
).length;
return exploreCount / assignments.length;
}
export function shouldExplore(
currentAssignments: StrategyAssignment[],
candidateClass: StrategyClass
): boolean {
const exploreRatio = computeExploreRatio(currentAssignments);
if (exploreRatio >= TARGET_EXPLORE_RATIO) return false;
return candidateClass === "experimental" || candidateClass === "personalized";
}
// βββ Assignment Engine βββββββββββββββββββββββββββββββββββββββββββββ
export function assignStrategies(ctx: EmployeeContext): StrategyAssignment[] {
ensureStrategiesSeeded();
const existing = getAssignmentsForEmployee(ctx.employeeId);
const newAssignments: StrategyAssignment[] = [];
const candidates = listStrategiesByRole(ctx.role).filter(
(s) => !existing.some((a) => a.strategyId === s.id)
);
const contextMatched = candidates.filter((s) => contextMatches(s.applicableContext, ctx));
const pool = contextMatched.length > 0 ? contextMatched : candidates;
const byClass: Record<StrategyClass, StrategyGenome[]> = {
proven: pool.filter((s) => s.strategyClass === "proven"),
personalized: pool.filter((s) => s.strategyClass === "personalized"),
experimental: pool.filter((s) => s.strategyClass === "experimental"),
};
// Assign proven strategies (exploit)
const provenToAssign = Math.min(
MAX_PROVEN - existing.filter((a) => a.strategyClass === "proven").length,
byClass.proven.length
);
for (let i = 0; i < Math.max(0, provenToAssign); i++) {
const strategy = byClass.proven[i];
const assignment = createAssignment(strategy, ctx, "exploit", existing.length + newAssignments.length + 1);
newAssignments.push(assignment);
upsertAssignment(assignment);
}
// Assign personalized strategies
const personalizedToAssign = Math.min(
MAX_PERSONALIZED - existing.filter((a) => a.strategyClass === "personalized").length,
byClass.personalized.length
);
for (let i = 0; i < Math.max(0, personalizedToAssign); i++) {
const strategy = byClass.personalized[i];
const reason: AssignmentReason = shouldExplore([...existing, ...newAssignments], "personalized")
? "personalized_fit"
: "exploit";
const assignment = createAssignment(strategy, ctx, reason, existing.length + newAssignments.length + 1);
newAssignments.push(assignment);
upsertAssignment(assignment);
}
// Assign experimental strategies (explore)
const updatedAll = [...existing, ...newAssignments];
if (shouldExplore(updatedAll, "experimental")) {
const experimentalToAssign = Math.min(
MAX_EXPERIMENTAL - existing.filter((a) => a.strategyClass === "experimental").length,
byClass.experimental.length
);
for (let i = 0; i < Math.max(0, experimentalToAssign); i++) {
const strategy = byClass.experimental[i];
const assignment = createAssignment(strategy, ctx, "explore", existing.length + newAssignments.length + 1);
newAssignments.push(assignment);
upsertAssignment(assignment);
}
}
return newAssignments;
}
function createAssignment(
strategy: StrategyGenome,
ctx: EmployeeContext,
reason: AssignmentReason,
trialNumber: number
): StrategyAssignment {
return {
id: nanoid(12),
strategyId: strategy.id,
employeeId: ctx.employeeId,
employeeRole: ctx.role,
strategyClass: strategy.strategyClass,
assignmentReason: reason,
assignedAt: now(),
active: true,
employeeAccepted: false,
employeeModified: false,
expectedOutcomeMetrics: strategy.expectedOutcomes.map((m) => ({ ...m })),
contextSnapshot: {
territoryType: ctx.territoryType,
workloadLevel: ctx.workloadLevel,
stakeholderSegment: ctx.stakeholderSegment,
productPortfolio: ctx.productPortfolio,
},
trialNumber,
confidenceAtAssignment: strategy.evidenceLevel === "experimentally_supported"
? 0.85
: strategy.evidenceLevel === "probable_contribution"
? 0.65
: strategy.evidenceLevel === "observed_association"
? 0.45
: 0.25,
};
}
// βββ Portfolio Generation ββββββββββββββββββββββββββββββββββββββββββ
export function computeDiversityScore(assignments: StrategyAssignment[], strategies: StrategyGenome[]): number {
if (assignments.length === 0) return 0;
const domains = new Set<string>();
for (const a of assignments) {
const s = strategies.find((s) => s.id === a.strategyId);
if (s) domains.add(s.domain);
}
return Math.round((domains.size / 8) * 100) / 100;
}
export function getPortfolio(employeeId: string, role: RoleType): StrategyPortfolio {
ensureStrategiesSeeded();
const allStrategies = loadStrategies();
const active = getAssignmentsForEmployee(employeeId);
const proven = active.filter((a) => a.strategyClass === "proven");
const personalized = active.filter((a) => a.strategyClass === "personalized");
const experimental = active.filter((a) => a.strategyClass === "experimental");
const exploreRatio = computeExploreRatio(active);
const exploitRatio = 1 - exploreRatio;
const diversity = computeDiversityScore(active, allStrategies);
return {
employeeId,
employeeRole: role,
activeAssignments: active,
provenStrategies: proven,
personalizedStrategies: personalized,
experimentalStrategies: experimental,
portfolioDiversityScore: diversity,
exploreRatio,
exploitRatio,
lastRebalancedAt: now(),
};
}
// βββ Employee Acceptance βββββββββββββββββββββββββββββββββββββββββββ
export function acceptAssignment(id: string): StrategyAssignment | undefined {
const all = loadStrategyAssignments();
const idx = all.findIndex((a) => a.id === id);
if (idx < 0) return undefined;
all[idx].employeeAccepted = true;
saveStrategyAssignments(all);
return all[idx];
}
export function modifyAssignment(id: string, notes: string): StrategyAssignment | undefined {
const all = loadStrategyAssignments();
const idx = all.findIndex((a) => a.id === id);
if (idx < 0) return undefined;
all[idx].employeeModified = true;
all[idx].modificationNotes = notes;
saveStrategyAssignments(all);
return all[idx];
}
export function rejectAssignment(id: string): StrategyAssignment | undefined {
deactivateAssignment(id);
const all = loadStrategyAssignments();
return all.find((a) => a.id === id);
}
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