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#! python3 | ||
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# Copyright 2023 Ant Group Co., Ltd. | ||
# | ||
# Licensed under the Apache License, Version 2.0 (the "License"); | ||
# you may not use this file except in compliance with the License. | ||
# You may obtain a copy of the License at | ||
# | ||
# http://www.apache.org/licenses/LICENSE-2.0 | ||
# | ||
# Unless required by applicable law or agreed to in writing, software | ||
# distributed under the License is distributed on an "AS IS" BASIS, | ||
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
# See the License for the specific language governing permissions and | ||
# limitations under the License. | ||
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import getpass | ||
import json | ||
import os | ||
import subprocess | ||
import sys | ||
import tempfile | ||
import time | ||
from dataclasses import dataclass | ||
from typing import Any, Dict, List | ||
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from pyarrow import csv as pa_csv | ||
from google.protobuf.json_format import MessageToJson | ||
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from secretflow_serving_lib.feature_pb2 import FeatureParam | ||
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TEST_STORAGE_ROOT = os.path.join(tempfile.gettempdir(), getpass.getuser()) | ||
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# set up global env | ||
g_script_name = os.path.abspath(sys.argv[0]) | ||
g_script_dir = os.path.dirname(g_script_name) | ||
g_repo_dir = os.path.dirname(g_script_dir) | ||
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g_clean_up_service = True | ||
g_clean_up_files = True | ||
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def global_ip_config(index): | ||
cluster_ip = ["127.0.0.1:9810", "127.0.0.1:9811"] | ||
metrics_port = [8318, 8319] | ||
brpc_builtin_port = [8328, 8329] | ||
assert index < len(cluster_ip) | ||
return { | ||
"cluster_ip": cluster_ip[index], | ||
"metrics_port": metrics_port[index], | ||
"brpc_builtin_service_port": brpc_builtin_port[index], | ||
} | ||
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def dump_json(obj, filename, indent=2): | ||
with open(filename, "w") as ofile: | ||
json.dump(obj, ofile, indent=indent) | ||
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def is_approximately_equal(a, b, epsilon) -> bool: | ||
return abs(a - b) < epsilon | ||
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class CurlWrapper: | ||
def __init__(self, url: str, data: str): | ||
self.url = url | ||
self.data = data | ||
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def cmd(self): | ||
return f'curl --location "{self.url}" --header "Content-Type: application/json" --data \'{self.data}\'' | ||
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def exe(self): | ||
return os.popen(self.cmd()) | ||
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@dataclass | ||
class PartyConfig: | ||
id: str | ||
cluster_ip: str | ||
metrics_port: int | ||
brpc_builtin_service_port: int | ||
channel_protocol: str | ||
model_id: str | ||
model_package_path: str | ||
csv_path: str | ||
query_datas: List[str] = None | ||
query_context: str = None | ||
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class ConfigBuilder: | ||
def __init__( | ||
self, | ||
party_configs: Dict[str, PartyConfig], | ||
service_id: str, | ||
serving_config_filename: str = "serving.config", | ||
log_config_filename: str = "logging.config", | ||
): | ||
self.service_id = service_id | ||
self.party_configs = party_configs | ||
self.parties = [] | ||
self.log_config = log_config_filename | ||
self.serving_config = serving_config_filename | ||
for id, config in self.party_configs.items(): | ||
self.parties.append({"id": id, "address": config.cluster_ip}) | ||
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self.logging_config_paths = {} | ||
self.serving_config_paths = {} | ||
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def _dump_logging_config(self, path: str, log_path: str): | ||
logging_config_path = os.path.join(path, self.log_config) | ||
with open(logging_config_path, "w") as ofile: | ||
json.dump({"systemLogPath": os.path.abspath(log_path)}, ofile, indent=2) | ||
return logging_config_path | ||
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def _dump_serving_config(self, path: str, config: PartyConfig): | ||
config_dict = { | ||
"id": self.service_id, | ||
"serverConf": { | ||
"metricsExposerPort": config.metrics_port, | ||
"brpcBuiltinServicePort": config.brpc_builtin_service_port, | ||
}, | ||
"modelConf": { | ||
"modelId": config.model_id, | ||
"basePath": os.path.abspath(path), | ||
"sourcePath": os.path.abspath(config.model_package_path), | ||
"sourceType": "ST_FILE", | ||
}, | ||
"clusterConf": { | ||
"selfId": config.id, | ||
"parties": self.parties, | ||
"channelDesc": {"protocol": config.channel_protocol}, | ||
}, | ||
"featureSourceConf": { | ||
"csvOpts": { | ||
"filePath": os.path.abspath(config.csv_path), | ||
"id_name": "id", | ||
} | ||
}, | ||
} | ||
config_path = os.path.join(path, self.serving_config) | ||
dump_json(config_dict, config_path) | ||
return config_path | ||
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def finish(self, path="."): | ||
for id, config in self.party_configs.items(): | ||
config_path = os.path.join(path, id) | ||
if not os.path.exists(config_path): | ||
os.makedirs(config_path, exist_ok=True) | ||
self.logging_config_paths[id] = self._dump_logging_config( | ||
config_path, os.path.join(config_path, "log") | ||
) | ||
self.serving_config_paths[id] = self._dump_serving_config( | ||
config_path, config | ||
) | ||
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def get_logging_config_paths(self) -> Dict[str, str]: | ||
return self.logging_config_paths | ||
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def get_serving_config_paths(self) -> Dict[str, str]: | ||
return self.serving_config_paths | ||
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# simple test | ||
class AccuracyTestCase: | ||
def __init__( | ||
self, | ||
service_id: str, | ||
parties: List[str], | ||
case_dir: str, | ||
package_name: str, | ||
input_csv_names: Dict[str, str], | ||
expect_csv_name: str, | ||
query_ids: List[str], | ||
score_col_name: str, | ||
): | ||
self.service_id = service_id | ||
self.case_dir = case_dir | ||
self.expect_csv_path = os.path.join(case_dir, expect_csv_name) | ||
self.query_ids = query_ids | ||
self.score_col_name = score_col_name | ||
self.party_configs = {} | ||
for index, party in enumerate(parties): | ||
base_dir = os.path.join(case_dir, party) | ||
self.party_configs[party] = PartyConfig( | ||
id=party, | ||
**global_ip_config(index), | ||
channel_protocol="baidu_std", | ||
model_id="accuracy_test", | ||
model_package_path=os.path.join(base_dir, package_name), | ||
csv_path=os.path.join(base_dir, input_csv_names[party]), | ||
query_datas=query_ids, | ||
) | ||
self.background_proc = [] | ||
self.data_path = os.path.join(TEST_STORAGE_ROOT, self.service_id) | ||
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def _exe_cmd(self, cmd, background=False): | ||
print("Execute: ", cmd) | ||
if not background: | ||
ret = subprocess.run(cmd, shell=True, check=True, capture_output=True) | ||
ret.check_returncode() | ||
return ret | ||
else: | ||
proc = subprocess.Popen(cmd.split(), shell=False) | ||
self.background_proc.append(proc) | ||
return proc | ||
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def start_server(self, start_interval_s=0): | ||
config_builder = ConfigBuilder( | ||
party_configs=self.party_configs, service_id=self.service_id | ||
) | ||
config_builder.finish(self.data_path) | ||
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logging_config_paths = config_builder.get_logging_config_paths() | ||
serving_config_paths = config_builder.get_serving_config_paths() | ||
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for id in self.party_configs.keys(): | ||
self._exe_cmd( | ||
f"./bazel-bin/secretflow_serving/server/secretflow_serving --serving_config_file={serving_config_paths[id]} --logging_config_file={logging_config_paths[id]}", | ||
True, | ||
) | ||
if start_interval_s: | ||
time.sleep(start_interval_s) | ||
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# wait 10s for servers be ready | ||
time.sleep(10) | ||
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def stop_server(self): | ||
if g_clean_up_service: | ||
for proc in self.background_proc: | ||
proc.kill() | ||
proc.wait() | ||
if g_clean_up_files: | ||
os.system(f"rm -rf {self.data_path}") | ||
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def _make_request_body(self): | ||
fs_param = {} | ||
for id, config in self.party_configs.items(): | ||
fs_param[id] = FeatureParam(query_datas=self.query_ids) | ||
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body_dict = { | ||
"service_spec": { | ||
"id": self.service_id, | ||
}, | ||
"fs_params": { | ||
k: json.loads(MessageToJson(v, preserving_proto_field_name=True)) | ||
for k, v in fs_param.items() | ||
}, | ||
} | ||
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return json.dumps(body_dict) | ||
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def make_predict_curl_cmd(self, party: str): | ||
url = None | ||
for id, config in self.party_configs.items(): | ||
if id == party: | ||
url = f"http://{config.cluster_ip}/PredictionService/Predict" | ||
break | ||
if not url: | ||
raise Exception(f"{party} is not in config({self.party_configs.keys()})") | ||
curl_wrapper = CurlWrapper( | ||
url=url, | ||
data=self._make_request_body(), | ||
) | ||
return curl_wrapper.cmd() | ||
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def exec(self): | ||
try: | ||
self.start_server() | ||
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# read expect csv | ||
expect_table = pa_csv.read_csv(self.expect_csv_path) | ||
expect_df = expect_table.to_pandas() | ||
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print(f"expect_df: {expect_df}") | ||
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for party in self.party_configs.keys(): | ||
res = self._exe_cmd(self.make_predict_curl_cmd(party)) | ||
out = res.stdout.decode() | ||
print("Predict Result: ", out) | ||
res = json.loads(out) | ||
assert ( | ||
res["status"]["code"] == 1 | ||
), f'return status code({res["status"]["code"]}) should be OK(1)' | ||
assert len(res['results']) == len( | ||
self.query_ids | ||
), f'return results size not match the query size {len(res["results"])} vs {len(self.query_ids)}' | ||
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# check result accuracy | ||
for index, r in enumerate(res['results']): | ||
# TODO: support multi-col score | ||
s = float(r["scores"][0]["value"]) | ||
id = self.query_ids[index] | ||
expect_score = float( | ||
expect_df[expect_df['id'] == int(id)][self.score_col_name].iloc[ | ||
0 | ||
] | ||
) | ||
assert is_approximately_equal( | ||
expect_score, s, 0.0001 | ||
), f'result not match, {s} vs {expect_score}' | ||
finally: | ||
self.stop_server() | ||
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if __name__ == "__main__": | ||
AccuracyTestCase( | ||
service_id="bin_onehot_glm", | ||
parties=['alice', 'bob'], | ||
case_dir='.ci/test_data/bin_onehot_glm', | ||
package_name='s_model.tar.gz', | ||
input_csv_names={'alice': 'alice.csv', 'bob': 'bob.csv'}, | ||
expect_csv_name='predict.csv', | ||
query_ids=['1', '2', '3', '4', '5', '6', '7', '8', '9', '15'], | ||
score_col_name='pred', | ||
).exec() |
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