Trigger performance test after successful CI run. (#818)

.github/workflows/CI.yml

@@ -1048,12 +1048,12 @@ jobs:
             version:
               - 'VERSION'
 
-      - name: Trigger soaking
+      - name: Trigger performance test
         if: steps.filter.outputs.version == 'true'
         uses: peter-evans/repository-dispatch@v1.1.1
         with:
           token: "${{ secrets.REPO_WRITE_ACCESS_TOKEN }}"
-          event-type: bump-version
+          event-type: trigger-perf
           client-payload: '{"ref": "${{ github.ref }}", "sha": "${{ github.sha }}"}'
 
   clean:

.github/workflows/perf.yml

@@ -13,12 +13,9 @@
 
 name: 'Performance test'
 on:
-  schedule:
-    - cron: '0 9 * * 0' # Sunday at 9 am UTC: pst 1 am.
-
-  # we can manually trigger this workflow by using dispatch for debuging  
+  # we can manually trigger this workflow by using dispatch for debugging
   repository_dispatch:
-    types: [manual-perf]
+    types: [trigger-perf]
   workflow_dispatch:
     inputs:
       sha:
@@ -27,7 +24,11 @@ on:
 
 env:
   TF_VAR_aws_access_key_id: ${{ secrets.INTEG_TEST_AWS_KEY_ID }}
-  TF_VAR_aws_secret_access_key: ${{ secrets.INTEG_TEST_AWS_KEY_SECRET }} 
+  TF_VAR_aws_secret_access_key: ${{ secrets.INTEG_TEST_AWS_KEY_SECRET }}
+  GH_PAGES_BRANCH: gh-pages
+  MAX_BENCHMARKS_TO_KEEP: 100
+  COMMIT_USER: Github Actions
+  COMMIT_EMAIL: actions@github.com
 
 jobs:
   get-testing-version:
@@ -148,28 +149,28 @@ jobs:
         with:
           path: artifacts
 
-      - name: Produce performance model table
-        run: python e2etest/get-performance-model-table.py
-
-      - name: Create a new branch
-        uses: peterjgrainger/action-create-branch@v2.0.1
-        env:
-          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
-        with:
-          branch: "perf-test-${{ github.run_id }}"
-
-      - name: Commit to a branch
-        uses: stefanzweifel/git-auto-commit-action@v4
-        with:
-          commit_message: "Update benchmarking"
-          branch: "perf-test-${{ github.run_id }}"
-          file_pattern: docs/performance_model.md
-
-      - name: pull-request
-        uses: repo-sync/pull-request@v2
+      - name: Produce performance report
+        run: python e2etest/get-performance-model-table.py -v ${{ needs.get-testing-version.outputs.testing_version }}
+
+      # Uses github-action-benchmark to update historic benchmark data
+      # Temporarily using forked action in order to pass in commit SHA
+      - name: Store benchmark result
+        uses: jefchien/github-action-benchmark@v1.11.12-alpha2
         with:
-          source_branch: "perf-test-${{ github.run_id }}"
-          destination_branch: "main"
-          github_token: ${{ secrets.GITHUB_TOKEN }}
-          pr_title: "Update Performance Model"
-          pr_body: "Generated by performance test workflow [#${{ github.run_number }}](https://github.com/aws-observability/aws-otel-collector/actions/runs/${{ github.run_id }}) using https://github.com/aws-observability/aws-otel-collector/commit/${{ needs.get-testing-version.outputs.commit_id }}."
+          tool: "customSmallerIsBetter"
+          output-file-path: performance-data.json
+          benchmark-data-dir-path: benchmark/trend
+          max-items-in-chart: ${{ env.MAX_BENCHMARKS_TO_KEEP }}
+          gh-pages-branch: ${{ env.GH_PAGES_BRANCH }}
+          github-token: ${{ secrets.GITHUB_TOKEN }}
+          commit-sha: ${{ github.event.inputs.sha }}
+          auto-push: false
+
+      - name: Commit to gh-pages branch
+        run: |
+          git switch ${{ env.GH_PAGES_BRANCH }}
+          rsync -avv performance-report.md benchmark/report.md
+          rsync -avv performance-data.json benchmark/data/
+          git add benchmark/data/* benchmark/report.md
+          git -c user.name="${{ env.COMMIT_USER }}" -c user.email="${{ env.COMMIT_EMAIL }}" commit --amend --reset-author -m "Update benchmarking for ${{ github.event.inputs.sha }}"
+          git push origin ${{ env.GH_PAGES_BRANCH }}:${{ env.GH_PAGES_BRANCH }}

e2etest/get-performance-model-table.py

@@ -1,9 +1,9 @@
-import os
-import json
-import sys
-from pathlib import Path
+import argparse
 import jinja2
+import json
+import os
 import string
+import sys
 
 # Schema: performance_models[data_mode][tps] = [model]
 performance_models = {}
@@ -36,7 +36,7 @@ def add_performance_model(model):
     performance_models[data_mode][data_rate].append(model)
 
 
-def flatten_performance_models(models):
+def flatten_performance_models():
     """
     Flattens performance model into list of grouped models where each group
     corresponds to a table in the report.
@@ -58,13 +58,36 @@ def flatten_performance_models(models):
         x["data_mode"], x["data_rate"]))
     return models_list
 
+def get_benchmark_entry(model, data_mode, data_rate, value_field, unit, subgroup):
+    benchmark_entry = {}
+    benchmark_entry["name"] = model["testcase"]
+    benchmark_entry["value"] = model[value_field]
+    benchmark_entry["unit"] = unit
+    benchmark_entry["extra"] = f"{data_mode} (TPS: {data_rate}) - {subgroup}"
+    return benchmark_entry
+
+def get_benchmark_data():
+    """
+    Splits models by testcase and groups by data mode, data rate, and field type.
+    """
+    benchmark_data = []
+
+    for data_mode, data_rates in performance_models.items():
+        for data_rate, models in data_rates.items():
+            for model in models:
+                benchmark_data.append(get_benchmark_entry(model, data_mode, data_rate, "avgCpu", "%", "Average CPU Usage"))
+                benchmark_data.append(get_benchmark_entry(model, data_mode, data_rate, "avgMem", "MB", "Average Memory Usage"))
+
+    return benchmark_data
 
 if __name__ == "__main__":
-    aoc_version = Path('VERSION').read_text()
+    parser = argparse.ArgumentParser("Generate performance-report.md and performance-data.json from artifacts")
+    parser.add_argument('-v', '--version', help="version to tag the report with", required=True)
+    args = parser.parse_args()
+    aoc_version = args.version
 
-    from jinja2 import Environment, PackageLoader, select_autoescape
     templateLoader = jinja2.FileSystemLoader(searchpath="e2etest/templates/")
-    env = Environment(autoescape=select_autoescape(['html', 'xml', 'tpl', 'yaml', 'yml']), loader=templateLoader)
+    env = jinja2.Environment(autoescape=jinja2.select_autoescape(['html', 'xml', 'tpl', 'yaml', 'yml']), loader=templateLoader)
 
     # get performance models from artifacts
     artifacts_path = "artifacts/"
@@ -79,7 +102,7 @@ def flatten_performance_models(models):
             testing_ami = model["testingAmi"]
             add_performance_model(model)
 
-    models_list = flatten_performance_models(performance_models)
+    models_list = flatten_performance_models()
 
     # render performance models into markdown
     template = env.get_template('performance_model.tpl')
@@ -92,6 +115,10 @@ def flatten_performance_models(models):
     })
     print(rendered_result)
 
-    # write rendered result to docs/performance_model.md
-    with open("docs/performance_model.md", "w") as f:
+    # write rendered result to report.md
+    with open("performance-report.md", "w+") as f:
         f.write(rendered_result)
+
+    # write benchmark-data.json
+    with open("performance-data.json", "w+") as f:
+        json.dump(get_benchmark_data(), f, indent=4)