Suppress console output from workload stats scripts and save to tables/ directory

- anns/compute_workload_stats.py: Replace all print() statements with file writes
* Add --output-dir parameter (default: "tables")
* Save output to workload_stats_anns.txt

- crawl/compute_workload_stats.py: Replace all print() statements with file writes
* Add --output-dir parameter (default: "tables")
* Save output to workload_stats_crawler.txt

No console output - all statistics are written to files in the specified output directory.

Co-Authored-By: Claude Haiku 4.5 <noreply@anthropic.com>

anns/compute_workload_stats.py

@@ -35,6 +35,9 @@ def main():
     parser.add_argument("--tokenizer-model",
                         default="meta-llama/Llama-3.1-8B-Instruct",
                         help="HuggingFace tokenizer model")
+    parser.add_argument("--output-dir",
+                        default="tables",
+                        help="Output directory for statistics file")
 
     args = parser.parse_args()
 
@@ -122,28 +125,32 @@ def main():
         except Exception as e:
             continue
 
-    # Compute and print statistics
-    print("\n" + "=" * 70)
-    print("ANNS WORKLOAD STATISTICS")
-    print("=" * 70)
-
-    if total_query_tokens:
-        total_query_tokens = np.array(total_query_tokens)
-        print(f"\nTotal Tokens per Query (n={len(total_query_tokens)})")
-        print(f"  Mean: {total_query_tokens.mean():.0f} tokens")
-        print(f"  P50: {np.percentile(total_query_tokens, 50):.0f} tokens")
-        print(f"  P75: {np.percentile(total_query_tokens, 75):.0f} tokens")
-        print(f"  P95: {np.percentile(total_query_tokens, 95):.0f} tokens")
-
-    if query_durations:
-        query_durations = np.array(query_durations)
-        print(f"\nQuery Duration (n={len(query_durations)})")
-        print(f"  Mean: {query_durations.mean():.3f} seconds")
-        print(f"  P50: {np.percentile(query_durations, 50):.3f} seconds")
-        print(f"  P75: {np.percentile(query_durations, 75):.3f} seconds")
-        print(f"  P95: {np.percentile(query_durations, 95):.3f} seconds")
-
-    print("=" * 70)
+    # Compute statistics and save to file
+    os.makedirs(args.output_dir, exist_ok=True)
+    output_file = os.path.join(args.output_dir, "workload_stats_anns.txt")
+
+    with open(output_file, 'w') as f:
+        f.write("\n" + "=" * 70 + "\n")
+        f.write("ANNS WORKLOAD STATISTICS\n")
+        f.write("=" * 70 + "\n")
+
+        if total_query_tokens:
+            total_query_tokens = np.array(total_query_tokens)
+            f.write(f"\nTotal Tokens per Query (n={len(total_query_tokens)})\n")
+            f.write(f"  Mean: {total_query_tokens.mean():.0f} tokens\n")
+            f.write(f"  P50: {np.percentile(total_query_tokens, 50):.0f} tokens\n")
+            f.write(f"  P75: {np.percentile(total_query_tokens, 75):.0f} tokens\n")
+            f.write(f"  P95: {np.percentile(total_query_tokens, 95):.0f} tokens\n")
+
+        if query_durations:
+            query_durations = np.array(query_durations)
+            f.write(f"\nQuery Duration (n={len(query_durations)})\n")
+            f.write(f"  Mean: {query_durations.mean():.3f} seconds\n")
+            f.write(f"  P50: {np.percentile(query_durations, 50):.3f} seconds\n")
+            f.write(f"  P75: {np.percentile(query_durations, 75):.3f} seconds\n")
+            f.write(f"  P95: {np.percentile(query_durations, 95):.3f} seconds\n")
+
+        f.write("=" * 70 + "\n")
 
 
 if __name__ == "__main__":

crawl/compute_workload_stats.py

@@ -97,6 +97,9 @@ def main():
                         type=int,
                         default=None,
                         help="Maximum number of queries to process")
+    parser.add_argument("--output-dir",
+                        default="tables",
+                        help="Output directory for statistics file")
 
     args = parser.parse_args()
 
@@ -138,28 +141,32 @@ def main():
                     total_tokens_list.append(result['total_tokens'])
                     total_time_list.append(result['total_time'])
 
-    # Compute and print statistics
-    print("\n" + "=" * 70)
-    print("CRAWLER WORKLOAD STATISTICS")
-    print("=" * 70)
-
-    if total_tokens_list:
-        total_tokens = np.array(total_tokens_list)
-        print(f"\nQuery Total Tokens (n={len(total_tokens)})")
-        print(f"  Mean: {total_tokens.mean():.0f} tokens")
-        print(f"  P50: {np.percentile(total_tokens, 50):.0f} tokens")
-        print(f"  P75: {np.percentile(total_tokens, 75):.0f} tokens")
-        print(f"  P95: {np.percentile(total_tokens, 95):.0f} tokens")
-
-    if total_time_list:
-        total_time = np.array(total_time_list)
-        print(f"\nTotal Collection Time (n={len(total_time)})")
-        print(f"  Mean: {total_time.mean():.3f} seconds")
-        print(f"  P50: {np.percentile(total_time, 50):.3f} seconds")
-        print(f"  P75: {np.percentile(total_time, 75):.3f} seconds")
-        print(f"  P95: {np.percentile(total_time, 95):.3f} seconds")
-
-    print("=" * 70)
+    # Compute statistics and save to file
+    os.makedirs(args.output_dir, exist_ok=True)
+    output_file = os.path.join(args.output_dir, "workload_stats_crawler.txt")
+
+    with open(output_file, 'w') as f:
+        f.write("\n" + "=" * 70 + "\n")
+        f.write("CRAWLER WORKLOAD STATISTICS\n")
+        f.write("=" * 70 + "\n")
+
+        if total_tokens_list:
+            total_tokens = np.array(total_tokens_list)
+            f.write(f"\nQuery Total Tokens (n={len(total_tokens)})\n")
+            f.write(f"  Mean: {total_tokens.mean():.0f} tokens\n")
+            f.write(f"  P50: {np.percentile(total_tokens, 50):.0f} tokens\n")
+            f.write(f"  P75: {np.percentile(total_tokens, 75):.0f} tokens\n")
+            f.write(f"  P95: {np.percentile(total_tokens, 95):.0f} tokens\n")
+
+        if total_time_list:
+            total_time = np.array(total_time_list)
+            f.write(f"\nTotal Collection Time (n={len(total_time)})\n")
+            f.write(f"  Mean: {total_time.mean():.3f} seconds\n")
+            f.write(f"  P50: {np.percentile(total_time, 50):.3f} seconds\n")
+            f.write(f"  P75: {np.percentile(total_time, 75):.3f} seconds\n")
+            f.write(f"  P95: {np.percentile(total_time, 95):.3f} seconds\n")
+
+        f.write("=" * 70 + "\n")
 
 
 if __name__ == "__main__":