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Ricardo LAP
2026-09-13 20:50:51 +00:00
parent a83af259b3
commit c54c68c899
6690 changed files with 1093387 additions and 2 deletions
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managed_components/lvgl__lvgl/scripts/perf/benchmark_results_comment.py Normal file
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"""
This script takes json and mpk input files and creates a PR comment in markdown format.
An mpk (msgpack) file contains the benchmark result history for a specific config.
Unpacked, this file will have the following format:
```json
[
{
"commit_hash": "<commit_hash>"
"scenes": [
{
"scene_name": "",
"avg_cpu": 0,
"avg_fps": 0,
"avg_time": 0,
"render_time": 0,
"flush_time": 0,
},
...
]
},
...
]
```
A json file contains the benchmark result for a specific commit:
```json
[
{
"scene_name": "",
"avg_cpu": 0,
"avg_fps": 0,
"avg_time": 0,
"render_time": 0,
"flush_time": 0,
}
...
]
```
This script reads the previous and new benchmark results, compares them and creates a comment.
Example comment:
```
Hi :wave:, thank you for your PR!
We've run benchmarks in an emulated environment. Here are the results:
#### ARM Emulated 32b - lv_conf_perf32b
| Scene Name | Avg CPU (%) | Avg FPS | Avg Time (ms) | Render Time (ms) | Flush Time (ms) |
|------------|------------|---------|--------------|----------------|--------------|
| All scenes avg. | 20 | 24 | 7 | 7 | 0 |
<details>
<summary>
Detailed Results Per Scene
</summary>
| Scene Name | Avg CPU (%) | Avg FPS | Avg Time (ms) | Render Time (ms) | Flush Time (ms) |
|------------|------------|---------|--------------|----------------|--------------|
| Empty screen | 11 | 25 | 0 | 0 | 0 |
| Moving wallpaper | 1 | 25 | 0 | 0 | 0 |
| Single rectangle | 0 | 25 | 0 | 0 | 0 |
| Multiple rectangles | 0 | 25 | 0 | 0 | 0 |
| Multiple RGB images | 0 | 25 | 0 | 0 | 0 |
| Multiple ARGB images | 22 (-1)| 25 | 1 | 1 | 0 |
| Rotated ARGB images | 47 (-1)| 24 | 20 | 20 | 0 |
| Multiple labels | 2 (-2)| 25 | 0 | 0 | 0 |
| Screen sized text | 30 (+1)| 24 (-1)| 11 (-1)| 11 (-1)| 0 |
| Multiple arcs | 19 (+4)| 24 | 7 | 7 | 0 |
| Containers | 1 (-1)| 25 | 0 | 0 | 0 |
| Containers with overlay | 87 (-2)| 21 | 44 | 44 | 0 |
| Containers with opa | 23 (+1)| 25 | 4 | 4 | 0 |
| Containers with opa_layer | 22 (+1)| 25 | 8 | 8 | 0 |
| Containers with scrolling | 25 | 25 | 10 | 10 | 0 |
| Widgets demo | 34 | 24 (-1)| 13 | 13 | 0 |
| All scenes avg. | 20 | 24 | 7 | 7 | 0 |
</details>
Disclaimer: These benchmarks were run in an emulated environment using QEMU with instruction counting mode.
The timing values represent relative performance metrics within this specific virtualized setup and should
not be interpreted as absolute real-world performance measurements. Values are deterministic and useful for
comparing different LVGL features and configurations, but may not correlate directly with performance on
physical hardware. The measurements are intended for comparative analysis only.
---
:robot: This comment was automatically generated by a bot.
```
"""
import argparse
import json
import os
import msgpack
DISCLAIMER = """
Disclaimer: These benchmarks were run in an emulated environment using QEMU with instruction counting mode.
The timing values represent relative performance metrics within this specific virtualized setup and should
not be interpreted as absolute real-world performance measurements. Values are deterministic and useful for
comparing different LVGL features and configurations, but may not correlate directly with performance on
physical hardware. The measurements are intended for comparative analysis only.
"""
def format_table(results: list[dict], prev_results: list[dict]):
table = "| Scene Name | Avg CPU (%) | Avg FPS | Avg Time (ms) | Render Time (ms) | Flush Time (ms) |\n"
table += "|------------|------------|---------|--------------|----------------|--------------|\n"
data_keys = ["avg_cpu", "avg_fps", "avg_time", "render_time", "flush_time"]
for scene_results, prev_scene_results in zip(results, prev_results):
delta_p = {
key: ((scene_results[key] - prev_scene_results[key])) for key in data_keys
}
table += f"| {scene_results['scene_name']} |"
for key in data_keys:
if delta_p[key] == 0:
table += f" {scene_results[key]} |"
else:
table += f" {scene_results[key]} ({delta_p[key]:+})|"
table += "\n"
return table
def main():
parser = argparse.ArgumentParser(
description="Process previous and new results, and output a comment file."
)
parser.add_argument(
"--previous",
type=str,
nargs="+",
required=False,
help="Path to the previous results file (supports multiple, e.g., results*.mpk)",
)
parser.add_argument(
"--new",
type=str,
nargs="+",
required=True,
help="Paths to new results files (supports multiple, e.g., results*.json)",
)
parser.add_argument(
"-o",
"--output",
type=str,
required=True,
help="Output file path (e.g., comment.md)",
)
args = parser.parse_args()
previous_results_paths = args.previous
results_paths = args.new
output_path = args.output
previous_results_map: dict[str, list[dict]] = {}
if previous_results_paths:
for results_path in previous_results_paths:
_, image_type, config = results_path.replace(".mpk", "").split("-")
with open(results_path, "rb") as f:
previousb = f.read()
rs: list = msgpack.unpackb(previousb)
# We store the filename so it's easier to match with the related results
previous_results_map[os.path.basename(results_path)] = rs
new_results: dict[str, list[dict]] = {}
for results_path in results_paths:
with open(results_path, "r") as f:
r: list[dict] = json.load(f)
# We store the filename so it's easier to match with the related results
new_results[os.path.basename(results_path)] = r
comment = "Hi :wave:, thank you for your PR!\n\n"
comment += "We've run benchmarks in an emulated environment."
comment += " Here are the results:\n\n"
for result_path, result in new_results.items():
mpk_path = result_path.replace(".json", ".mpk")
new_all_scene_avg = [
scene for scene in result if scene["scene_name"] == "All scenes avg."
]
prev_results = previous_results_map.get(mpk_path, [])
if len(prev_results) > 0:
prev_scenes = prev_results[-1]["scenes"]
prev_all_scene_avg = [
[
scene
for scene in prev_scenes
if scene["scene_name"] == "All scenes avg."
][0]
]
prev_results = prev_scenes
else:
# If there are no previous results, we use the current result as
# the previous aswell
# In this case, the difference will always be zero and we won't
# add any new information to the result table
prev_results = result
prev_all_scene_avg = new_all_scene_avg
_, image_type, config = result_path.replace(".json", "").split("-")
comment += f"#### ARM Emulated {image_type} - {config}\n\n"
comment += format_table(new_all_scene_avg, prev_all_scene_avg)
comment += "\n<details>"
comment += "\n<summary>"
comment += "\nDetailed Results Per Scene"
comment += "\n</summary>\n\n"
comment += format_table(result, prev_results)
comment += "\n\n</details>\n\n"
comment += DISCLAIMER
comment += "\n\n"
comment += "---"
comment += "\n\n"
comment += ":robot: This comment was automatically generated by a bot."
with open(output_path, "w") as f:
f.write(comment)
if __name__ == "__main__":
main()