Add resource column to hc and remove —

server/routers/gerbil/receiveBandwidth.ts

@@ -88,11 +88,11 @@ async function dbQueryRows<T extends Record<string, unknown>>(
 ): Promise<T[]> {
     const anyDb = db as any;
     if (typeof anyDb.execute === "function") {
-        // PostgreSQL (node-postgres via Drizzle) — returns { rows: [...] } or an array
+        // PostgreSQL (node-postgres via Drizzle) - returns { rows: [...] } or an array
         const result = await anyDb.execute(query);
         return (Array.isArray(result) ? result : (result.rows ?? [])) as T[];
     }
-    // SQLite (better-sqlite3 via Drizzle) — returns an array directly
+    // SQLite (better-sqlite3 via Drizzle) - returns an array directly
     return (await anyDb.all(query)) as T[];
 }
 
@@ -106,7 +106,7 @@ function isSQLite(): boolean {
  * Swaps out the accumulator before writing so that any bandwidth messages
  * received during the flush are captured in the new accumulator rather than
  * being lost or causing contention. Sites are updated in chunks via a single
- * batch UPDATE per chunk. Failed chunks are discarded — exact per-flush
+ * batch UPDATE per chunk. Failed chunks are discarded - exact per-flush
  * accuracy is not critical and re-queuing is not worth the added complexity.
  *
  * This function is exported so that the application's graceful-shutdown
@@ -125,7 +125,7 @@ export async function flushSiteBandwidthToDb(): Promise<void> {
     const currentTime = new Date().toISOString();
 
     // Sort by publicKey for consistent lock ordering across concurrent
-    // writers — deadlock-prevention strategy.
+    // writers - deadlock-prevention strategy.
     const sortedEntries = [...snapshot.entries()].sort(([a], [b]) =>
         a.localeCompare(b)
     );
@@ -150,7 +150,7 @@ export async function flushSiteBandwidthToDb(): Promise<void> {
         try {
             rows = await withDeadlockRetry(async () => {
                 if (isSQLite()) {
-                    // SQLite: one UPDATE per row — no need for batch efficiency here.
+                    // SQLite: one UPDATE per row - no need for batch efficiency here.
                     const results: { orgId: string; pubKey: string }[] = [];
                     for (const [publicKey, { bytesIn, bytesOut }] of chunk) {
                         const result = await dbQueryRows<{
@@ -170,7 +170,7 @@ export async function flushSiteBandwidthToDb(): Promise<void> {
                     return results;
                 }
 
-                // PostgreSQL: batch UPDATE … FROM (VALUES …) — single round-trip per chunk.
+                // PostgreSQL: batch UPDATE … FROM (VALUES …) - single round-trip per chunk.
                 const valuesList = chunk.map(([publicKey, { bytesIn, bytesOut }]) =>
                     sql`(${publicKey}::text, ${bytesIn}::real, ${bytesOut}::real)`
                 );
@@ -191,7 +191,7 @@ export async function flushSiteBandwidthToDb(): Promise<void> {
                 `Failed to flush bandwidth chunk [${i}–${chunkEnd}], discarding ${chunk.length} site(s):`,
                 error
             );
-            // Discard the chunk — exact per-flush accuracy is not critical.
+            // Discard the chunk - exact per-flush accuracy is not critical.
             continue;
         }
 
@@ -232,7 +232,7 @@ export async function flushSiteBandwidthToDb(): Promise<void> {
                     totalBandwidth
                 );
                 if (bandwidthUsage) {
-                    // Fire-and-forget — don't block the flush on limit checking.
+                    // Fire-and-forget - don't block the flush on limit checking.
                     usageService
                         .checkLimitSet(
                             orgId,
@@ -298,7 +298,7 @@ export async function updateSiteBandwidth(
     exitNodeId?: number
 ): Promise<void> {
     for (const { publicKey, bytesIn, bytesOut } of bandwidthData) {
-        // Skip peers that haven't transferred any data — writing zeros to the
+        // Skip peers that haven't transferred any data - writing zeros to the
         // database would be a no-op anyway.
         if (bytesIn <= 0 && bytesOut <= 0) {
             continue;