feat(#351): Implement RLS context interceptor (fix SEC-API-4)
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Implements Row-Level Security (RLS) context propagation via NestJS interceptor and AsyncLocalStorage. Core Implementation: - RlsContextInterceptor sets PostgreSQL session variables (app.current_user_id, app.current_workspace_id) within transaction boundaries - Uses SET LOCAL for transaction-scoped variables, preventing connection pool leakage - AsyncLocalStorage propagates transaction-scoped Prisma client to services - Graceful handling of unauthenticated routes - 30-second transaction timeout with 10-second max wait Security Features: - Error sanitization prevents information disclosure to clients - TransactionClient type provides compile-time safety, prevents invalid method calls - Defense-in-depth security layer for RLS policy enforcement Quality Rails Compliance: - Fixed 154 lint errors in llm-usage module (package-level enforcement) - Added proper TypeScript typing for Prisma operations - Resolved all type safety violations Test Coverage: - 19 tests (7 provider + 9 interceptor + 3 integration) - 95.75% overall coverage (100% statements on implementation files) - All tests passing, zero lint errors Documentation: - Comprehensive RLS-CONTEXT-USAGE.md with examples and migration guide Files Created: - apps/api/src/common/interceptors/rls-context.interceptor.ts - apps/api/src/common/interceptors/rls-context.interceptor.spec.ts - apps/api/src/common/interceptors/rls-context.integration.spec.ts - apps/api/src/prisma/rls-context.provider.ts - apps/api/src/prisma/rls-context.provider.spec.ts - apps/api/src/prisma/RLS-CONTEXT-USAGE.md Fixes #351 Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
@@ -1,6 +1,7 @@
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import { Controller, Get, Param, Query } from "@nestjs/common";
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import type { LlmUsageLog } from "@prisma/client";
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import { LlmUsageService } from "./llm-usage.service";
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import type { UsageAnalyticsQueryDto } from "./dto";
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import type { UsageAnalyticsQueryDto, UsageAnalyticsResponseDto } from "./dto";
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/**
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* LLM Usage Controller
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@@ -20,8 +21,10 @@ export class LlmUsageController {
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* @returns Aggregated usage analytics
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*/
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@Get("analytics")
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async getAnalytics(@Query() query: UsageAnalyticsQueryDto) {
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const data = await this.llmUsageService.getUsageAnalytics(query);
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async getAnalytics(
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@Query() query: UsageAnalyticsQueryDto
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): Promise<{ data: UsageAnalyticsResponseDto }> {
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const data: UsageAnalyticsResponseDto = await this.llmUsageService.getUsageAnalytics(query);
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return { data };
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}
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@@ -32,8 +35,10 @@ export class LlmUsageController {
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* @returns Array of usage logs
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*/
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@Get("by-workspace/:workspaceId")
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async getUsageByWorkspace(@Param("workspaceId") workspaceId: string) {
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const data = await this.llmUsageService.getUsageByWorkspace(workspaceId);
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async getUsageByWorkspace(
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@Param("workspaceId") workspaceId: string
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): Promise<{ data: LlmUsageLog[] }> {
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const data: LlmUsageLog[] = await this.llmUsageService.getUsageByWorkspace(workspaceId);
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return { data };
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}
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@@ -48,8 +53,11 @@ export class LlmUsageController {
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async getUsageByProvider(
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@Param("workspaceId") workspaceId: string,
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@Param("provider") provider: string
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) {
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const data = await this.llmUsageService.getUsageByProvider(workspaceId, provider);
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): Promise<{ data: LlmUsageLog[] }> {
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const data: LlmUsageLog[] = await this.llmUsageService.getUsageByProvider(
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workspaceId,
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provider
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);
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return { data };
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}
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@@ -61,8 +69,11 @@ export class LlmUsageController {
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* @returns Array of usage logs
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*/
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@Get("by-workspace/:workspaceId/model/:model")
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async getUsageByModel(@Param("workspaceId") workspaceId: string, @Param("model") model: string) {
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const data = await this.llmUsageService.getUsageByModel(workspaceId, model);
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async getUsageByModel(
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@Param("workspaceId") workspaceId: string,
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@Param("model") model: string
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): Promise<{ data: LlmUsageLog[] }> {
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const data: LlmUsageLog[] = await this.llmUsageService.getUsageByModel(workspaceId, model);
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return { data };
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}
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}
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@@ -1,4 +1,5 @@
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import { Injectable, Logger } from "@nestjs/common";
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import type { LlmUsageLog, Prisma } from "@prisma/client";
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import { PrismaService } from "../prisma/prisma.service";
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import type {
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TrackUsageDto,
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@@ -28,12 +29,12 @@ export class LlmUsageService {
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* @param dto - Usage tracking data
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* @returns The created usage log entry
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*/
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async trackUsage(dto: TrackUsageDto) {
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async trackUsage(dto: TrackUsageDto): Promise<LlmUsageLog> {
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this.logger.debug(
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`Tracking usage: ${dto.provider}/${dto.model} - ${String(dto.totalTokens)} tokens`
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);
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return this.prisma.llmUsageLog.create({
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return await this.prisma.llmUsageLog.create({
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data: dto,
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});
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}
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@@ -46,7 +47,7 @@ export class LlmUsageService {
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* @returns Aggregated usage analytics
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*/
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async getUsageAnalytics(query: UsageAnalyticsQueryDto): Promise<UsageAnalyticsResponseDto> {
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const where: Record<string, unknown> = {};
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const where: Prisma.LlmUsageLogWhereInput = {};
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if (query.workspaceId) {
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where.workspaceId = query.workspaceId;
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@@ -63,43 +64,59 @@ export class LlmUsageService {
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if (query.startDate || query.endDate) {
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where.createdAt = {};
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if (query.startDate) {
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(where.createdAt as Record<string, Date>).gte = new Date(query.startDate);
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where.createdAt.gte = new Date(query.startDate);
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}
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if (query.endDate) {
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(where.createdAt as Record<string, Date>).lte = new Date(query.endDate);
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where.createdAt.lte = new Date(query.endDate);
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}
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}
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const usageLogs = await this.prisma.llmUsageLog.findMany({ where });
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const usageLogs: LlmUsageLog[] = await this.prisma.llmUsageLog.findMany({ where });
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// Aggregate totals
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const totalCalls = usageLogs.length;
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const totalPromptTokens = usageLogs.reduce((sum, log) => sum + log.promptTokens, 0);
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const totalCompletionTokens = usageLogs.reduce((sum, log) => sum + log.completionTokens, 0);
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const totalTokens = usageLogs.reduce((sum, log) => sum + log.totalTokens, 0);
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const totalCostCents = usageLogs.reduce((sum, log) => sum + (log.costCents ?? 0), 0);
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const totalCalls: number = usageLogs.length;
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const totalPromptTokens: number = usageLogs.reduce(
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(sum: number, log: LlmUsageLog) => sum + log.promptTokens,
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0
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);
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const totalCompletionTokens: number = usageLogs.reduce(
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(sum: number, log: LlmUsageLog) => sum + log.completionTokens,
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0
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);
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const totalTokens: number = usageLogs.reduce(
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(sum: number, log: LlmUsageLog) => sum + log.totalTokens,
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0
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);
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const totalCostCents: number = usageLogs.reduce(
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(sum: number, log: LlmUsageLog) => sum + (log.costCents ?? 0),
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0
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);
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const durations = usageLogs.map((log) => log.durationMs).filter((d): d is number => d !== null);
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const averageDurationMs =
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durations.length > 0 ? durations.reduce((sum, d) => sum + d, 0) / durations.length : 0;
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const durations: number[] = usageLogs
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.map((log: LlmUsageLog) => log.durationMs)
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.filter((d): d is number => d !== null);
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const averageDurationMs: number =
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durations.length > 0
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? durations.reduce((sum: number, d: number) => sum + d, 0) / durations.length
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: 0;
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// Group by provider
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const byProviderMap = new Map<string, ProviderUsageDto>();
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for (const log of usageLogs) {
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const existing = byProviderMap.get(log.provider);
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const existing: ProviderUsageDto | undefined = byProviderMap.get(log.provider);
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if (existing) {
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existing.calls += 1;
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existing.promptTokens += log.promptTokens;
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existing.completionTokens += log.completionTokens;
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existing.totalTokens += log.totalTokens;
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existing.costCents += log.costCents ?? 0;
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if (log.durationMs) {
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const count = existing.calls === 1 ? 1 : existing.calls - 1;
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if (log.durationMs !== null) {
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const count: number = existing.calls === 1 ? 1 : existing.calls - 1;
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existing.averageDurationMs =
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(existing.averageDurationMs * (count - 1) + log.durationMs) / count;
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}
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} else {
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byProviderMap.set(log.provider, {
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const newProvider: ProviderUsageDto = {
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provider: log.provider,
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calls: 1,
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promptTokens: log.promptTokens,
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@@ -107,27 +124,28 @@ export class LlmUsageService {
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totalTokens: log.totalTokens,
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costCents: log.costCents ?? 0,
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averageDurationMs: log.durationMs ?? 0,
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});
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};
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byProviderMap.set(log.provider, newProvider);
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}
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}
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// Group by model
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const byModelMap = new Map<string, ModelUsageDto>();
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for (const log of usageLogs) {
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const existing = byModelMap.get(log.model);
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const existing: ModelUsageDto | undefined = byModelMap.get(log.model);
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if (existing) {
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existing.calls += 1;
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existing.promptTokens += log.promptTokens;
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existing.completionTokens += log.completionTokens;
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existing.totalTokens += log.totalTokens;
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existing.costCents += log.costCents ?? 0;
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if (log.durationMs) {
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const count = existing.calls === 1 ? 1 : existing.calls - 1;
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if (log.durationMs !== null) {
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const count: number = existing.calls === 1 ? 1 : existing.calls - 1;
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existing.averageDurationMs =
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(existing.averageDurationMs * (count - 1) + log.durationMs) / count;
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}
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} else {
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byModelMap.set(log.model, {
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const newModel: ModelUsageDto = {
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model: log.model,
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calls: 1,
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promptTokens: log.promptTokens,
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@@ -135,28 +153,29 @@ export class LlmUsageService {
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totalTokens: log.totalTokens,
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costCents: log.costCents ?? 0,
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averageDurationMs: log.durationMs ?? 0,
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});
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};
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byModelMap.set(log.model, newModel);
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}
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}
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// Group by task type
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const byTaskTypeMap = new Map<string, TaskTypeUsageDto>();
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for (const log of usageLogs) {
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const taskType = log.taskType ?? "unknown";
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const existing = byTaskTypeMap.get(taskType);
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const taskType: string = log.taskType ?? "unknown";
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const existing: TaskTypeUsageDto | undefined = byTaskTypeMap.get(taskType);
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if (existing) {
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existing.calls += 1;
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existing.promptTokens += log.promptTokens;
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existing.completionTokens += log.completionTokens;
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existing.totalTokens += log.totalTokens;
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existing.costCents += log.costCents ?? 0;
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if (log.durationMs) {
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const count = existing.calls === 1 ? 1 : existing.calls - 1;
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if (log.durationMs !== null) {
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const count: number = existing.calls === 1 ? 1 : existing.calls - 1;
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existing.averageDurationMs =
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(existing.averageDurationMs * (count - 1) + log.durationMs) / count;
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}
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} else {
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byTaskTypeMap.set(taskType, {
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const newTaskType: TaskTypeUsageDto = {
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taskType,
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calls: 1,
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promptTokens: log.promptTokens,
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@@ -164,11 +183,12 @@ export class LlmUsageService {
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totalTokens: log.totalTokens,
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costCents: log.costCents ?? 0,
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averageDurationMs: log.durationMs ?? 0,
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});
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};
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byTaskTypeMap.set(taskType, newTaskType);
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}
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}
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return {
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const response: UsageAnalyticsResponseDto = {
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totalCalls,
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totalPromptTokens,
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totalCompletionTokens,
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@@ -179,6 +199,8 @@ export class LlmUsageService {
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byModel: Array.from(byModelMap.values()),
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byTaskType: Array.from(byTaskTypeMap.values()),
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};
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return response;
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}
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/**
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@@ -187,8 +209,8 @@ export class LlmUsageService {
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* @param workspaceId - Workspace UUID
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* @returns Array of usage logs
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*/
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async getUsageByWorkspace(workspaceId: string) {
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return this.prisma.llmUsageLog.findMany({
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async getUsageByWorkspace(workspaceId: string): Promise<LlmUsageLog[]> {
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return await this.prisma.llmUsageLog.findMany({
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where: { workspaceId },
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orderBy: { createdAt: "desc" },
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});
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@@ -201,8 +223,8 @@ export class LlmUsageService {
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* @param provider - Provider name
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* @returns Array of usage logs
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*/
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async getUsageByProvider(workspaceId: string, provider: string) {
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return this.prisma.llmUsageLog.findMany({
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async getUsageByProvider(workspaceId: string, provider: string): Promise<LlmUsageLog[]> {
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return await this.prisma.llmUsageLog.findMany({
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where: { workspaceId, provider },
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orderBy: { createdAt: "desc" },
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});
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@@ -215,8 +237,8 @@ export class LlmUsageService {
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* @param model - Model name
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* @returns Array of usage logs
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*/
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async getUsageByModel(workspaceId: string, model: string) {
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return this.prisma.llmUsageLog.findMany({
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async getUsageByModel(workspaceId: string, model: string): Promise<LlmUsageLog[]> {
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return await this.prisma.llmUsageLog.findMany({
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where: { workspaceId, model },
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orderBy: { createdAt: "desc" },
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});
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