Add benchmark results parsing script and update CI workflow to display summaries in GitHub Step Summary

Author: mohdaquib

.github/workflows/ci.yml

@@ -65,6 +65,12 @@ jobs:
           arch: x86_64
           script: ./gradlew :benchmarks:connectedBenchmarkAndroidTest
 
+      - name: Parse Benchmark Results
+        if: always()
+        run: |
+          echo "### Macrobenchmark Results" >> $GITHUB_STEP_SUMMARY
+          python3 benchmarks/BenchmarkResultsParser.py >> $GITHUB_STEP_SUMMARY
+
       - name: Upload benchmark JSON
         if: always()
         uses: actions/upload-artifact@v4

benchmarks/BenchmarkResultsParser.py

@@ -0,0 +1,64 @@
+#!/usr/bin/env python3
+import json
+import glob
+import os
+
+def format_value(val):
+    if val is None:
+        return "-"
+    if isinstance(val, (int, float)):
+        return f"{val:.2f}"
+    return str(val)
+
+def main():
+    # Search for benchmark data files in the standard output directory
+    search_path = 'benchmarks/build/outputs/connected_android_test_additional_output/**/*-benchmarkData.json'
+    files = glob.glob(search_path, recursive=True)
+
+    if not files:
+        # Fallback to search from current directory
+        files = glob.glob('**/*-benchmarkData.json', recursive=True)
+
+    if not files:
+        print("No benchmark results found.")
+        return
+
+    print("| Metric | Min | Median | Max |")
+    print("| :--- | :---: | :---: | :---: |")
+
+    # Track metrics to avoid duplicates if multiple files are found
+    seen_results = set()
+
+    for file_path in files:
+        try:
+            with open(file_path, 'r') as f:
+                data = json.load(f)
+
+            if 'benchmarks' not in data:
+                continue
+
+            for benchmark in data['benchmarks']:
+                benchmark_name = benchmark.get('name', 'Unknown')
+                metrics = benchmark.get('metrics', {})
+
+                for metric_name, values in metrics.items():
+                    m_min = values.get('minimum')
+                    m_median = values.get('median')
+                    m_max = values.get('maximum')
+
+                    # Some metrics might be in nested objects depending on version
+                    # but usually minimum/median/maximum are at the top level of the metric object
+
+                    display_name = f"{benchmark_name}_{metric_name}"
+                    result_row = (display_name, m_min, m_median, m_max)
+
+                    if result_row not in seen_results:
+                        print(f"| {display_name} | {format_value(m_min)} | {format_value(m_median)} | {format_value(m_max)} |")
+                        seen_results.add(result_row)
+        except Exception as e:
+            # Print error to stderr so it doesn't mess up the markdown table on stdout
+            import sys
+            print(f"Error parsing {file_path}: {e}", file=sys.stderr)
+
+if __name__ == "__main__":
+    main()