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Local Audit Logging (Core API Synchronous Write)

Overview

the Core API's audit middleware writes every mutation request (POST, PUT, PATCH, DELETE) synchronously to the local audit_log table. This is the HIPAA safety net — zero audit event loss is guaranteed, even if the Telemetry service is unavailable.

Why Synchronous?

HIPAA requirement: Audit controls (164.312(b)) mandate recording all activity in systems containing PHI. If the write is asynchronous and the application crashes before the event is persisted, we lose an audit entry — a compliance violation.

Performance trade-off: Synchronous writes add ~1ms latency to mutation requests. This is acceptable because:

  • Single INSERT statement (no joins or complex queries)
  • No RLS policy evaluation (audit_log has a simple CHECK (TRUE) policy)
  • Modern PostgreSQL INSERT is fast (~1ms for a single row)
  • Write uses connection pool (not the RLS-scoped connection), avoiding contention

Failed request logging: The audit write happens after the handler executes, so we log the response status code. Failed requests (401, 403, 500) are also audited — this is critical for security monitoring.

Architecture

HTTP Request (POST/PUT/PATCH/DELETE)

Audit Middleware wraps handler

Handler executes (business logic)

Response captured (status code)

Synchronous INSERT into audit_log (~1ms)
    ├─ Blocking operation
    ├─ Transaction guarantees durability
    └─ ERROR level log if this fails

Async forward to Telemetry (non-blocking)

Response sent to client

Implementation

Audit Middleware

go
// internal/core/middleware/audit.go

package middleware

import (
    "context"
    "net/http"
    "time"

    "github.com/jackc/pgx/v5/pgxpool"
    "github.com/restartix/internal/pkg/auditevt"
    "golang.org/x/exp/slog"
)

func AuditLog(db *pgxpool.Pool, forwarder *auditevt.Forwarder) func(http.Handler) http.Handler {
    return func(next http.Handler) http.Handler {
        return http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
            // Skip GET requests (reads are not audited)
            if r.Method == http.MethodGet {
                next.ServeHTTP(w, r)
                return
            }

            user := UserFromContext(r.Context())
            if user == nil {
                // Unauthenticated requests are not audited (they'll fail at auth middleware)
                next.ServeHTTP(w, r)
                return
            }

            // Capture response using a response recorder
            recorder := &responseRecorder{
                ResponseWriter: w,
                statusCode:     http.StatusOK, // Default if WriteHeader is not called
            }

            // Execute handler
            next.ServeHTTP(recorder, r)

            // Build audit event
            event := auditevt.Event{
                Action:         mapMethodToAction(r.Method),
                EntityType:     extractEntityType(r.URL.Path),
                EntityID:       extractEntityID(r.URL.Path),
                UserID:         user.ID,
                OrganizationID: user.CurrentOrganizationID,
                IPAddress:      getClientIP(r),
                UserAgent:      r.UserAgent(),
                RequestPath:    r.Method + " " + r.URL.Path,
                StatusCode:     recorder.statusCode,
                Timestamp:      time.Now().UTC(),
            }

            // 1. SYNCHRONOUS: Write to local audit_log (HIPAA guarantee)
            if err := writeLocalAuditLog(r.Context(), db, event); err != nil {
                slog.Error("audit: local write failed", "error", err, "action", event.Action, "entity", event.EntityType)
                // This is a serious error — local audit must succeed.
                // Don't swallow it: log at ERROR level for alerting.
                // We DO NOT block the response — the mutation already happened.
                // But we want to know immediately if audit writes start failing.
            }

            // 2. ASYNC: Forward to Telemetry for enrichment + ClickHouse
            // Non-blocking — event is already safe in local audit_log
            forwarder.Forward(event)
        })
    }
}

// responseRecorder captures the status code from http.ResponseWriter
type responseRecorder struct {
    http.ResponseWriter
    statusCode int
}

func (r *responseRecorder) WriteHeader(statusCode int) {
    r.statusCode = statusCode
    r.ResponseWriter.WriteHeader(statusCode)
}

// writeLocalAuditLog inserts directly into the Core API's audit_log table.
// Uses the pool (not the RLS connection) because audit_log has no RLS.
func writeLocalAuditLog(ctx context.Context, db *pgxpool.Pool, event auditevt.Event) error {
    _, err := db.Exec(ctx, `
        INSERT INTO audit_log (
            organization_id, user_id, action, entity_type, entity_id,
            ip_address, user_agent, request_path, status_code, created_at
        ) VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10)
    `,
        event.OrganizationID, event.UserID, event.Action,
        event.EntityType, event.EntityID,
        event.IPAddress, event.UserAgent, event.RequestPath,
        event.StatusCode, event.Timestamp,
    )
    return err
}

// mapMethodToAction maps HTTP methods to CRUD actions
func mapMethodToAction(method string) string {
    switch method {
    case http.MethodPost:
        return "CREATE"
    case http.MethodPut, http.MethodPatch:
        return "UPDATE"
    case http.MethodDelete:
        return "DELETE"
    default:
        return "UNKNOWN"
    }
}

// extractEntityType extracts the resource type from the URL path
// Examples:
//   /v1/appointments/123 → "appointment"
//   /v1/patients/456/forms → "form"
func extractEntityType(path string) string {
    // Simplified implementation — production should use a router-based approach
    parts := strings.Split(strings.Trim(path, "/"), "/")
    if len(parts) >= 2 {
        return strings.TrimSuffix(parts[1], "s") // "appointments" → "appointment"
    }
    return "unknown"
}

// extractEntityID extracts the resource ID from the URL path
// Examples:
//   /v1/appointments/123 → "123"
//   /v1/patients/456/forms → "456" (parent resource)
func extractEntityID(path string) *int64 {
    // Simplified implementation — production should use chi.URLParam
    parts := strings.Split(strings.Trim(path, "/"), "/")
    if len(parts) >= 3 {
        if id, err := strconv.ParseInt(parts[2], 10, 64); err == nil {
            return &id
        }
    }
    return nil
}

// getClientIP resolves the real client IP in this order:
//   1. CF-Connecting-IP (Cloudflare header, trusted when App Runner only accepts CF traffic)
//   2. X-Forwarded-For (first entry in chain)
//   3. X-Real-IP (reverse proxy fallback)
//   4. r.RemoteAddr (direct connection)
func getClientIP(r *http.Request) string {
    if ip := r.Header.Get("CF-Connecting-IP"); ip != "" {
        return ip
    }
    if xff := r.Header.Get("X-Forwarded-For"); xff != "" {
        // X-Forwarded-For can be a comma-separated list: "client, proxy1, proxy2"
        // We want the first (leftmost) IP
        if idx := strings.Index(xff, ","); idx > 0 {
            return strings.TrimSpace(xff[:idx])
        }
        return xff
    }
    if ip := r.Header.Get("X-Real-IP"); ip != "" {
        return ip
    }
    return r.RemoteAddr
}

Middleware Registration

The audit middleware is registered after auth and organization context (so we have user in context), but before route handlers:

go
// internal/core/server/server.go

func (s *Server) registerMiddleware() {
    s.router.Use(middleware.SecurityHeaders)
    s.router.Use(middleware.AttackBlocker)
    s.router.Use(middleware.ClerkAuth(s.clerkClient))
    s.router.Use(middleware.OrganizationContext(s.adminPool, s.appPool))
    s.router.Use(middleware.SessionTimeout)
    s.router.Use(middleware.AuditLog(s.db, s.auditForwarder)) // ← Audit middleware here
}

Connection Pool vs RLS Connection

Why use the connection pool for audit writes?

The audit_log table has no RLS policies (its INSERT policy is CHECK (TRUE)). Using the RLS-scoped connection (held for the entire request) would add contention and no benefit. Instead, we use the connection pool directly:

go
db.Exec(ctx, ...) // Uses pool.Acquire() → quick INSERT → Release()

This keeps the RLS connection available for the main business logic query.

Error Handling

If the local audit write fails:

  • Log at ERROR level (triggers alerting)
  • DO NOT block the response (the mutation already happened)
  • The Telemetry forwarding still happens (best-effort)

Why not block the response?

  • The business logic has already executed (appointment created, patient updated, etc.)
  • Blocking the response would create a confusing UX (operation succeeded but response is 500)
  • Audit write failures are rare (database connectivity issue) and should be fixed via alerting

Monitoring:

  • Datadog alert: "audit: local write failed" appears in logs
  • Expected frequency: 0 (audit writes should never fail in normal operation)

Performance Impact

Measured latency:

  • Audit write: ~1ms (single INSERT, no joins, no RLS)
  • Total middleware overhead: ~1.5ms (includes response recording and entity extraction)

Optimization:

  • Use a prepared statement for the INSERT (pgx connection pool does this automatically)
  • Batch inserts are NOT used (we need immediate durability for HIPAA compliance)
  • Async forwarding to Telemetry adds no latency (non-blocking channel enqueue)

Testing

Unit Tests

go
// internal/core/middleware/audit_test.go

func TestAuditMiddleware(t *testing.T) {
    db := testdb.Setup(t)
    forwarder := auditevt.NewForwarder("http://telemetry.test")

    handler := AuditLog(db, forwarder)(http.HandlerFunc(func(w http.ResponseWriter, r *http.Request) {
        w.WriteHeader(http.StatusCreated)
    }))

    req := httptest.NewRequest(http.MethodPost, "/v1/appointments", nil)
    req = req.WithContext(context.WithValue(req.Context(), userContextKey, &UserContext{
        ID:                    42,
        CurrentOrganizationID: 1,
    }))

    rec := httptest.NewRecorder()
    handler.ServeHTTP(rec, req)

    // Assert audit log was written
    var count int
    db.QueryRow(context.Background(), "SELECT COUNT(*) FROM audit_log WHERE user_id = 42").Scan(&count)
    assert.Equal(t, 1, count)
}

Integration Tests

bash
# Run integration test that verifies audit writes
go test ./internal/core/middleware -v -run TestAuditIntegration

# Expected: all mutations (POST/PUT/PATCH/DELETE) create audit entries
# Expected: GET requests do NOT create audit entries

Sensitive Data Masking

Before writing to audit_log, sensitive fields in the changes JSONB column are masked:

go
var sensitivePatterns = []string{
    "password", "secret", "token", "api_key", "apikey",
    "authorization", "cookie", "session",
}

func maskSensitiveFields(data map[string]any) map[string]any {
    masked := make(map[string]any)
    for key, value := range data {
        lower := strings.ToLower(key)
        isSensitive := false
        for _, pattern := range sensitivePatterns {
            if strings.Contains(lower, pattern) {
                isSensitive = true
                break
            }
        }
        if isSensitive {
            masked[key] = "[REDACTED]"
        } else {
            masked[key] = value
        }
    }
    return masked
}

Note: The current implementation does NOT populate the changes field (it's NULL in the schema). This is a placeholder for future before/after diff tracking. When implemented, all sensitive fields will be masked before writing.

Monitoring & Alerting

Metrics to track:

  • Audit write latency (p50, p95, p99)
  • Audit write error rate (should be 0%)
  • Audit log table size (for capacity planning)

Datadog monitors:

Alert: Audit write failures
Query: logs("audit: local write failed").rollup(count).last(5m) > 0
Severity: P1 (critical — HIPAA compliance violation risk)

Alert: Audit write latency
Query: avg:audit.write.latency.p99{env:production} > 10ms
Severity: P2 (performance degradation)

Compliance Notes

HIPAA 164.312(b) - Audit Controls:

  • ✅ All mutations are logged
  • ✅ Synchronous write guarantees zero event loss
  • ✅ Append-only (no UPDATE or DELETE policies)
  • ✅ 6-year retention (hot PostgreSQL + warm S3 archives)

GDPR Article 30 - Records of Processing:

  • ✅ Who (user_id)
  • ✅ What (entity_type, entity_id, changes)
  • ✅ When (created_at)
  • ✅ Why (action: CREATE/UPDATE/DELETE)
  • ✅ Result (status_code)