AgentCoreService/pqai_agent/abtest/client.py

# Python: experiment_client.py
import threading
from typing import List, Dict, Optional
from alibabacloud_paiabtest20240119.client import Client
from pqai_agent.abtest.models import Project, Domain, Layer, Experiment, ExperimentVersion, \
    ExperimentContext, ExperimentResult
from alibabacloud_paiabtest20240119.models import ListProjectsRequest, ListProjectsResponseBodyProjects, \
    ListDomainsRequest, ListFeaturesRequest, ListLayersRequest, ListExperimentsRequest, ListExperimentVersionsRequest
from pqai_agent.logging_service import logger

class ExperimentClient:
    def __init__(self, client: Client):
        self.client = client
        self.project_map = {}
        self.running = False
        self.worker_thread = None

    def start(self):
        self.running = True
        self.worker_thread = threading.Thread(target=self._worker_loop)
        self.worker_thread.start()

    def shutdown(self, blocking=False):
        self.running = False
        if self.worker_thread:
            if blocking:
                self.worker_thread.join()
            else:
                self.worker_thread = None

    def _worker_loop(self):
        while self.running:
            # Sleep or wait for a condition to avoid busy waiting
            threading.Event().wait(60)
            try:
                self.load_experiment_data()
                logger.debug("Experiment data loaded successfully.")
            except Exception as e:
                logger.error(f"Error loading experiment data: {e}")
        logger.info("ExperimentClient worker thread exit.")

    def load_experiment_data(self):
        project_map = {}

        # 获取所有项目
        list_project_req = ListProjectsRequest()
        list_project_req.all = True
        projects_response = self.client.list_projects(list_project_req)
        projects: List[ListProjectsResponseBodyProjects] = projects_response.body.projects

        for project_data in projects:
            project = Project(name=project_data.name, project_id=project_data.project_id)
            # logger.debug(f"[Project] {project_data}")

            # 获取项目的域
            list_domain_req = ListDomainsRequest()
            list_domain_req.project_id = project.id
            domains_response = self.client.list_domains(list_domain_req)

            for domain_data in domains_response.body.domains:
                domain = Domain(domain_id=domain_data.domain_id,
                                name=domain_data.name,
                                flow=domain_data.flow,
                                buckets=domain_data.buckets,
                                bucket_type=domain_data.bucket_type,
                                is_default_domain=domain_data.is_default_domain,
                                exp_layer_id=domain_data.layer_id,
                                debug_users=domain_data.debug_users)
                # logger.debug(f"[Domain] {domain_data}")
                if domain.is_default_domain:
                    project.set_default_domain(domain)
                domain.init()
                project.add_domain(domain)

                # 获取域的特性（暂无实际用处）
                list_feature_req = ListFeaturesRequest()
                list_feature_req.domain_id = str(domain.id)
                features_response = self.client.list_features(list_feature_req)
                for feature_data in features_response.body.features:
                    domain.add_feature(feature_data)

                # 获取域的层
                list_layer_req = ListLayersRequest()
                list_layer_req.domain_id = str(domain.id)
                layers_response = self.client.list_layers(list_layer_req)
                for layer_data in layers_response.body.layers:
                    # logger.debug(f'[Layer] {layer_data}')
                    layer = Layer(id=int(layer_data.layer_id), name=layer_data.name)
                    project.add_layer(layer)

                    # 获取层的实验
                    list_experiment_req = ListExperimentsRequest()
                    list_experiment_req.layer_id = str(layer.id)
                    # FIXME: magic code
                    list_experiment_req.status = 'Running'
                    experiments_response = self.client.list_experiments(list_experiment_req)

                    for experiment_data in experiments_response.body.experiments:
                        # logger.debug(f'[Experiment] {experiment_data}')
                        # FIXME: Java SDK中有特殊处理
                        crowd_ids = experiment_data.crowd_ids if experiment_data.crowd_ids else ""
                        experiment = Experiment(id=int(experiment_data.experiment_id), bucket_type=experiment_data.bucket_type,
                                                flow=experiment_data.flow, buckets=experiment_data.buckets,
                                                crowd_ids=crowd_ids.split(","),
                                                debug_users=experiment_data.debug_users,
                                                filter_condition=experiment_data.condition
                                                )
                        experiment.init()

                        # 获取实验的版本
                        list_exp_ver_req = ListExperimentVersionsRequest()
                        list_exp_ver_req.experiment_id = int(experiment.id)
                        versions_response = self.client.list_experiment_versions(list_exp_ver_req)
                        for version_data in versions_response.body.experiment_versions:
                            # logger.debug(f'[ExperimentVersion] {version_data}')
                            version = ExperimentVersion(exp_version_id=version_data.experiment_version_id,
                                                        exp_id=experiment.id,
                                                        flow=int(version_data.flow),
                                                        buckets=version_data.buckets,
                                                        debug_users=version_data.debug_users,
                                                        exp_version_name=version_data.name,
                                                        config=version_data.config)
                            version.init()
                            experiment.add_experiment_version(version)
                        layer.add_experiment(experiment)
                    domain.add_layer(layer)

            # 建立layer-domain的反向映射，从而形成嵌套结构
            for domain in project.domains:
                if domain.is_default_domain:
                    continue
                # domain.exp_layer_id是domain所属的layer id
                layer: Layer = project.layer_map.get(domain.exp_layer_id, None)
                if not layer:
                    continue
                layer.add_domain(domain)

            project_map[project.name] = project

        self.project_map = project_map

    def match_experiment(self, project_name, experiment_context) -> ExperimentResult:
        if project_name not in self.project_map:
            experiment_result = ExperimentResult(experiment_context=experiment_context)
            experiment_result.project_name = project_name
            return experiment_result

        project = self.project_map[project_name]
        experiment_result = ExperimentResult(project=project, experiment_context=experiment_context)

        self._match_domain(project.default_domain, experiment_result)
        matched_versions = [str(ver.id) for ver in experiment_result.experiment_versions]
        logger.debug(f"Matched experiment, uid[{experiment_context.uid}], versions[{','.join(matched_versions)}], params: {experiment_result.params}")
        experiment_result.init()
        return experiment_result

    def _match_domain(self, domain: Domain, experiment_result: ExperimentResult):
        if not domain:
            return

        for feature in domain.features:
            if feature.match(experiment_result.experiment_context):
                experiment_result.add_params(feature.params)

        for layer in domain.layers:
            self._match_layer(layer, experiment_result)

    def _match_layer(self, layer, experiment_result):
        if not layer:
            return

        for experiment in layer.experiments:
            if experiment.match_debug_users(experiment_result.experiment_context):
                logger.debug(f"Matched debug user for experiment: {experiment.id}")
                self._match_experiment(experiment, experiment_result)
                return

        for domain in layer.domains:
            if domain.match_debug_users(experiment_result.experiment_context):
                # logger.debug(f"Matched debug user for domain: {domain.id}")
                self._match_domain(domain, experiment_result)

        hash_key = f"{experiment_result.experiment_context.uid}_LAYER{layer.id}"
        hash_value = self._hash_value(hash_key)

        exp_context = ExperimentContext(uid=hash_value,
                                        filter_params=experiment_result.experiment_context.filter_params)

        matched_experiments = [exp for exp in layer.experiments if exp.match(exp_context)]

        if len(matched_experiments) == 1:
            self._match_experiment(matched_experiments[0], experiment_result)
        elif len(matched_experiments) > 1:
            for experiment in matched_experiments:
                if experiment.bucket_type == "Condition":
                    self._match_experiment(experiment, experiment_result)
                    return
            logger.warning(f"Warning: Multiple experiments matched under layer {layer.id}.")
            self._match_experiment(matched_experiments[0], experiment_result)

        matched_domains = []
        for domain in layer.domains:
            if domain.match(exp_context):
                logger.debug(f"Matched domain {domain.id} for uid {experiment_result.experiment_context.uid}.")
                matched_domains.append(domain)
        if len(matched_domains) == 1:
            self._match_domain(matched_domains[0], experiment_result)
            return
        elif len(matched_domains) > 1:
            for domain in matched_domains:
                if domain.bucket_type == "Condition":
                    self._match_domain(domain, experiment_result)
                    return
            logger.warning(f"Warning: Multiple domains matched under layer {layer.id}, using the first one.")
            self._match_domain(matched_domains[0], experiment_result)
            return

    def _match_experiment(self, experiment: Experiment, experiment_result: ExperimentResult):
        if not experiment:
            return

        for version in experiment.experiment_versions:
            if version.match_debug_users(experiment_result.experiment_context):
                logger.debug(f"Matched debug user for experiment version: {version.id}")
                experiment_result.add_params(version.params)
                experiment_result.add_experiment_version(version)
                return

        hash_key = f"{experiment_result.experiment_context.uid}_EXPERIMENT{experiment.id}"
        hash_value = self._hash_value(hash_key)

        exp_context = ExperimentContext(uid=hash_value,
                                        filter_params=experiment_result.experiment_context.filter_params)

        for version in experiment.experiment_versions:
            if version.match(exp_context):
                experiment_result.add_params(version.params)
                experiment_result.add_experiment_version(version)
                return

    def _hash_value(self, hash_key) -> int:
        import hashlib
        from pqai_agent.abtest.models import FNV
        md5_hash = hashlib.md5(hash_key.encode()).hexdigest().encode()
        return FNV.fnv1_64(md5_hash)

    def __del__(self):
        if self.running and self.worker_thread:
            self.shutdown()

g_client: Optional[ExperimentClient] = None

def get_client():
    global g_client
    if not g_client:
        ak_id = 'LTAI5tFGqgC8f3mh1fRCrAEy'
        ak_secret = 'XhOjK9XmTYRhVAtf6yii4s4kZwWzvV'
        region = 'cn-hangzhou'
        from alibabacloud_tea_openapi.models import Config
        endpoint = f"paiabtest.{region}.aliyuncs.com"
        conf = Config(access_key_id=ak_id, access_key_secret=ak_secret, region_id=region,
                      endpoint=endpoint, type="access_key")
        api_client = Client(conf)
        g_client = ExperimentClient(api_client)
        g_client.load_experiment_data()
        g_client.start()
    return g_client

if __name__ == '__main__':
    from pqai_agent.logging_service import setup_root_logger
    setup_root_logger(level='DEBUG')
    experiment_client = get_client()

    for project_name, project in experiment_client.project_map.items():
        print(f"Project: {project_name}, ID: {project.id}")
        for domain in project.domains:
            print(f"  Domain: {domain.id}, Default: {domain.is_default_domain}")
            for layer in domain.layers:
                print(f"    Layer: {layer.id}")
                for experiment in layer.experiments:
                    print(f"      Experiment: {experiment.id}")
                    for version in experiment.experiment_versions:
                        print(f"        Version: {version.id}, Config: {version.config}")

    exp_context = ExperimentContext(uid='123')
    result = experiment_client.match_experiment('PQAgent', exp_context)
    print(result)
    g_client.shutdown()