mirror of
https://github.com/klzgrad/naiveproxy.git
synced 2024-11-28 16:26:10 +03:00
291 lines
8.8 KiB
Python
291 lines
8.8 KiB
Python
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import argparse
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import os
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import re
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import copy
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import uuid
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import calendar
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import time
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import big_query_utils
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import datetime
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import json
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# This import depends on the automake rule protoc_middleman, please make sure
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# protoc_middleman has been built before run this file.
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import os.path, sys
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sys.path.append(os.path.join(os.path.dirname(os.path.realpath(__file__)), os.pardir))
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import tmp.benchmarks_pb2 as benchmarks_pb2
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from click.types import STRING
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_PROJECT_ID = 'grpc-testing'
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_DATASET = 'protobuf_benchmark_result'
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_TABLE = 'opensource_result_v1'
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_NOW = "%d%02d%02d" % (datetime.datetime.now().year,
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datetime.datetime.now().month,
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datetime.datetime.now().day)
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file_size_map = {}
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def get_data_size(file_name):
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if file_name in file_size_map:
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return file_size_map[file_name]
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benchmark_dataset = benchmarks_pb2.BenchmarkDataset()
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benchmark_dataset.ParseFromString(
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open(os.path.dirname(os.path.abspath(__file__)) + "/../" + file_name).read())
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size = 0
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count = 0
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for payload in benchmark_dataset.payload:
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size += len(payload)
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count += 1
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file_size_map[file_name] = (size, 1.0 * size / count)
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return size, 1.0 * size / count
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def extract_file_name(file_name):
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name_list = re.split("[/\.]", file_name)
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short_file_name = ""
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for name in name_list:
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if name[:14] == "google_message":
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short_file_name = name
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return short_file_name
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cpp_result = []
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python_result = []
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java_result = []
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go_result = []
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# CPP results example:
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# [
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# "benchmarks": [
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# {
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# "bytes_per_second": int,
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# "cpu_time": int,
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# "name: string,
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# "time_unit: string,
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# ...
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# },
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# ...
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# ],
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# ...
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# ]
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def parse_cpp_result(filename):
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global cpp_result
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if filename == "":
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return
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if filename[0] != '/':
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filename = os.path.dirname(os.path.abspath(__file__)) + '/' + filename
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with open(filename) as f:
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results = json.loads(f.read())
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for benchmark in results["benchmarks"]:
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data_filename = "".join(
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re.split("(_parse_|_serialize)", benchmark["name"])[0])
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behavior = benchmark["name"][len(data_filename) + 1:]
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cpp_result.append({
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"language": "cpp",
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"dataFileName": data_filename,
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"behavior": behavior,
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"throughput": benchmark["bytes_per_second"] / 2.0 ** 20
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})
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# Python results example:
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# [
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# [
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# {
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# "filename": string,
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# "benchmarks": {
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# behavior: results,
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# ...
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# },
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# "message_name": STRING
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# },
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# ...
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# ], #pure-python
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# ...
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# ]
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def parse_python_result(filename):
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global python_result
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if filename == "":
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return
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if filename[0] != '/':
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filename = os.path.dirname(os.path.abspath(__file__)) + '/' + filename
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with open(filename) as f:
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results_list = json.loads(f.read())
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for results in results_list:
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for result in results:
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_, avg_size = get_data_size(result["filename"])
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for behavior in result["benchmarks"]:
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python_result.append({
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"language": "python",
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"dataFileName": extract_file_name(result["filename"]),
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"behavior": behavior,
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"throughput": avg_size /
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result["benchmarks"][behavior] * 1e9 / 2 ** 20
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})
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# Java results example:
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# [
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# {
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# "id": string,
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# "instrumentSpec": {...},
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# "measurements": [
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# {
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# "weight": float,
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# "value": {
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# "magnitude": float,
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# "unit": string
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# },
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# ...
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# },
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# ...
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# ],
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# "run": {...},
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# "scenario": {
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# "benchmarkSpec": {
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# "methodName": string,
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# "parameters": {
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# defined parameters in the benchmark: parameters value
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# },
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# ...
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# },
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# ...
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# }
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#
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# },
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# ...
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# ]
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def parse_java_result(filename):
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global average_bytes_per_message, java_result
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if filename == "":
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return
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if filename[0] != '/':
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filename = os.path.dirname(os.path.abspath(__file__)) + '/' + filename
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with open(filename) as f:
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results = json.loads(f.read())
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for result in results:
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total_weight = 0
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total_value = 0
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for measurement in result["measurements"]:
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total_weight += measurement["weight"]
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total_value += measurement["value"]["magnitude"]
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avg_time = total_value * 1.0 / total_weight
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total_size, _ = get_data_size(
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result["scenario"]["benchmarkSpec"]["parameters"]["dataFile"])
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java_result.append({
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"language": "java",
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"throughput": total_size / avg_time * 1e9 / 2 ** 20,
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"behavior": result["scenario"]["benchmarkSpec"]["methodName"],
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"dataFileName": extract_file_name(
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result["scenario"]["benchmarkSpec"]["parameters"]["dataFile"])
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})
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# Go benchmark results:
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#
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# goos: linux
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# goarch: amd64
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# Benchmark/.././datasets/google_message2/dataset.google_message2.pb/Unmarshal-12 3000 705784 ns/op
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# Benchmark/.././datasets/google_message2/dataset.google_message2.pb/Marshal-12 2000 634648 ns/op
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# Benchmark/.././datasets/google_message2/dataset.google_message2.pb/Size-12 5000 244174 ns/op
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# Benchmark/.././datasets/google_message2/dataset.google_message2.pb/Clone-12 300 4120954 ns/op
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# Benchmark/.././datasets/google_message2/dataset.google_message2.pb/Merge-12 300 4108632 ns/op
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# PASS
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# ok _/usr/local/google/home/yilunchong/mygit/protobuf/benchmarks 124.173s
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def parse_go_result(filename):
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global go_result
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if filename == "":
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return
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if filename[0] != '/':
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filename = os.path.dirname(os.path.abspath(__file__)) + '/' + filename
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with open(filename) as f:
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for line in f:
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result_list = re.split("[\ \t]+", line)
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if result_list[0][:9] != "Benchmark":
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continue
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first_slash_index = result_list[0].find('/')
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last_slash_index = result_list[0].rfind('/')
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full_filename = result_list[0][first_slash_index+4:last_slash_index] # delete ../ prefix
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total_bytes, _ = get_data_size(full_filename)
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behavior_with_suffix = result_list[0][last_slash_index+1:]
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last_dash = behavior_with_suffix.rfind("-")
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if last_dash == -1:
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behavior = behavior_with_suffix
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else:
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behavior = behavior_with_suffix[:last_dash]
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go_result.append({
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"dataFilename": extract_file_name(full_filename),
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"throughput": total_bytes / float(result_list[2]) * 1e9 / 2 ** 20,
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"behavior": behavior,
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"language": "go"
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})
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def get_metadata():
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build_number = os.getenv('BUILD_NUMBER')
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build_url = os.getenv('BUILD_URL')
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job_name = os.getenv('JOB_NAME')
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git_commit = os.getenv('GIT_COMMIT')
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# actual commit is the actual head of PR that is getting tested
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git_actual_commit = os.getenv('ghprbActualCommit')
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utc_timestamp = str(calendar.timegm(time.gmtime()))
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metadata = {'created': utc_timestamp}
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if build_number:
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metadata['buildNumber'] = build_number
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if build_url:
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metadata['buildUrl'] = build_url
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if job_name:
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metadata['jobName'] = job_name
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if git_commit:
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metadata['gitCommit'] = git_commit
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if git_actual_commit:
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metadata['gitActualCommit'] = git_actual_commit
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return metadata
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def upload_result(result_list, metadata):
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for result in result_list:
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new_result = copy.deepcopy(result)
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new_result['metadata'] = metadata
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bq = big_query_utils.create_big_query()
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row = big_query_utils.make_row(str(uuid.uuid4()), new_result)
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if not big_query_utils.insert_rows(bq, _PROJECT_ID, _DATASET,
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_TABLE + "$" + _NOW,
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[row]):
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print 'Error when uploading result', new_result
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if __name__ == "__main__":
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parser = argparse.ArgumentParser()
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parser.add_argument("-cpp", "--cpp_input_file",
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help="The CPP benchmark result file's name",
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default="")
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parser.add_argument("-java", "--java_input_file",
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help="The Java benchmark result file's name",
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default="")
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parser.add_argument("-python", "--python_input_file",
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help="The Python benchmark result file's name",
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default="")
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parser.add_argument("-go", "--go_input_file",
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help="The golang benchmark result file's name",
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default="")
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args = parser.parse_args()
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parse_cpp_result(args.cpp_input_file)
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parse_python_result(args.python_input_file)
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parse_java_result(args.java_input_file)
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parse_go_result(args.go_input_file)
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metadata = get_metadata()
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print "uploading cpp results..."
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upload_result(cpp_result, metadata)
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print "uploading java results..."
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upload_result(java_result, metadata)
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print "uploading python results..."
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upload_result(python_result, metadata)
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print "uploading go results..."
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upload_result(go_result, metadata)
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