Merge branch 'feature/aliyun-abtest' of Server/AgentCoreService into master

pqai_agent/abtest/client.py

@@ -0,0 +1,281 @@
+# Python: experiment_client.py
+import threading
+from typing import List, Dict
+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(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 = 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 = 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(layer_id=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 = 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 = experiment.id
+                        versions_response = self.client.list_experiment_versions(list_exp_ver_req)
+                        print(versions_response)
+                        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,
+                                                        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
+                layer: Layer = project.layer_map.get(domain.exp_layer_id, None)
+                if not layer:
+                    continue
+                layer.add_domain(domain)
+
+            project_map[project.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:
+            return ExperimentResult(project_name=project_name, experiment_context=experiment_context)
+
+        project = self.project_map[project_name]
+        experiment_result = ExperimentResult(project=project, experiment_context=experiment_context)
+
+        self._match_domain(project.default_domain, experiment_result)
+        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):
+        import hashlib
+        md5_hash = hashlib.md5(hash_key.encode()).hexdigest()
+        return md5_hash
+
+    def __del__(self):
+        if self.running and self.worker_thread:
+            self.shutdown()
+
+g_client = 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='x')
+    result = experiment_client.match_experiment('PQAgent', exp_context)
+    print(result)

pqai_agent/abtest/models.py

@@ -0,0 +1,228 @@
+from typing import List, Dict, Optional, Set
+import json
+from attr import dataclass
+import hashlib
+
+class DiversionBucket:
+    def match(self, experiment_context):
+        raise NotImplementedError("Subclasses must implement this method")
+
+class UidDiversionBucket(DiversionBucket):
+    def __init__(self, total_buckets: int, buckets: str):
+        self.total_buckets = total_buckets
+        self.buckets = set(map(int, buckets.split(",")))
+
+    def match(self, experiment_context):
+        uid_hash = int(hashlib.md5(experiment_context.uid.encode()).hexdigest(), 16)
+        bucket = uid_hash % self.total_buckets
+        return bucket in self.buckets
+
+
+class FilterDiversionBucket(DiversionBucket):
+    def __init__(self, filter_condition: str):
+        self.filter_condition = filter_condition
+
+    def match(self, experiment_context):
+        raise NotImplementedError("not implemented")
+
+class Feature:
+    def __init__(self, params=None):
+        self.params = params
+
+    def init(self):
+        # Initialize feature-specific logic
+        pass
+
+
+class ExperimentContext:
+    def __init__(self, uid=None, filter_params=None):
+        self.uid = uid
+        self.filter_params = filter_params or {}
+
+    def __str__(self):
+        return f"ExperimentContext(uid={self.uid}, filter_params={self.filter_params})"
+
+class Domain:
+    def __init__(self, domain_id, name, flow: int, buckets: str, bucket_type: str, debug_crowd_ids=None, is_default_domain=False, exp_layer_id=None,
+                 debug_users=""):
+        self.id = domain_id
+        self.name = name
+        self.debug_crowd_ids = debug_crowd_ids
+        self.is_default_domain = is_default_domain
+        self.exp_layer_id = exp_layer_id
+        self.features = []
+        self.layers = []
+        self.debug_users = debug_users
+        self.flow = flow
+        self.buckets = buckets
+        self.diversion_bucket = None
+        self.bucket_type = bucket_type
+        self.debug_user_set = set()
+
+    def add_debug_users(self, users: List[str]):
+        self.debug_user_set.update(users)
+
+    def match_debug_users(self, experiment_context):
+        return experiment_context.uid in self.debug_user_set
+
+    def add_feature(self, feature: Feature):
+        self.features.append(feature)
+
+    def add_layer(self, layer):
+        self.layers.append(layer)
+
+    def init(self):
+        self.debug_user_set.update(self.debug_users.split(","))
+        self.diversion_bucket = UidDiversionBucket(100, self.buckets)
+
+    def match(self, experiment_context):
+        if self.flow == 0:
+            return False
+        elif self.flow == 100:
+            return True
+        if self.diversion_bucket:
+            return self.diversion_bucket.match(experiment_context)
+        return False
+
+
+class Layer:
+    id: int
+    name: str
+    experiments: List['Experiment']
+    domains: List[Domain]
+
+    def __init__(self, layer_id, name):
+        self.id = layer_id
+        self.name = name
+        self.experiments = []
+        self.domains = []
+
+    def add_experiment(self, experiment):
+        self.experiments.append(experiment)
+
+    def add_domain(self, domain):
+        self.domains.append(domain)
+
+
+@dataclass
+class Experiment:
+    id: int
+    flow: int
+    crowd_ids: List[str]
+    debug_users: str
+    buckets: str
+    filter_condition: str
+    bucket_type: str = "Random"
+    debug_user_set: Set[str] = set()
+    diversion_bucket: Optional[DiversionBucket] = None
+    experiment_versions: List['ExperimentVersion'] = []
+
+    def add_debug_users(self, users: List[str]):
+        self.debug_user_set.update(users)
+
+    def match_debug_users(self, experiment_context):
+        return experiment_context.uid in self.debug_user_set
+
+    def add_experiment_version(self, version):
+        self.experiment_versions.append(version)
+
+    def match(self, experiment_context: ExperimentContext) -> bool:
+        if self.bucket_type == "Random":
+            if self.flow == 0:
+                return False
+            elif self.flow == 100:
+                return True
+        if self.diversion_bucket:
+            return self.diversion_bucket.match(experiment_context)
+        return False
+
+    def init(self):
+        # 初始化 debug_user_map
+        if self.debug_users:
+            self.debug_user_set.update(self.debug_users.split(","))
+        # 初始化 diversion_bucket
+        if self.bucket_type == "Random":  # ExpBucketTypeRand
+            self.diversion_bucket = UidDiversionBucket(100, self.buckets)
+        elif self.bucket_type == "Condition" and self.filter_condition:  # ExpBucketTypeCond
+            self.diversion_bucket = FilterDiversionBucket(self.filter_condition)
+
+
+class ExperimentVersion:
+    def __init__(self, exp_version_id, flow, buckets: str, exp_version_name=None, debug_users: str = '',
+                 config=None, debug_crowd_ids=None):
+        self.id = exp_version_id
+        self.exp_version_name = exp_version_name
+        self.config = config
+        self.debug_crowd_ids = debug_crowd_ids
+        self.debug_users = debug_users
+        self.params = {}
+        self.flow = flow
+        self.buckets = buckets
+        self.debug_user_set = set()
+        self.diversion_bucket = None
+
+    def add_debug_users(self, users: List[str]):
+        self.debug_user_set.update(users)
+
+    def match_debug_users(self, experiment_context):
+        return experiment_context.uid in self.debug_user_set
+
+    def match(self, experiment_context: ExperimentContext):
+        if self.flow == 0:
+            return False
+        elif self.flow == 100:
+            return True
+        if self.diversion_bucket:
+            return self.diversion_bucket.match(experiment_context)
+        return False
+
+    def init(self):
+        self.debug_user_set.update(self.debug_users.split(","))
+        self.diversion_bucket = UidDiversionBucket(100, self.buckets)
+        params = json.loads(self.config)
+        for kv in params:
+            self.params[kv['key']] = kv['value']
+
+
+class Project:
+    def __init__(self, project_name=None, project_id=None):
+        self.project_name = project_name
+        self.id = project_id
+        self.domains = []
+        self.layers = []
+        self.default_domain : Optional[Domain] = None
+        self.layer_map = {}
+        self.domain_map = {}
+
+    def add_domain(self, domain):
+        self.domains.append(domain)
+        self.domain_map[domain.id] = domain
+
+    def add_layer(self, layer):
+        self.layers.append(layer)
+        self.layer_map[layer.id] = layer
+
+    def set_default_domain(self, domain: Domain):
+        self.default_domain = domain
+
+
+class ExperimentResult:
+    def __init__(self, project=None, experiment_context=None, project_name=None):
+        self.project = project
+        self.experiment_context = experiment_context
+        self.project_name = project_name
+        self.params = {}
+        self.experiment_versions = []
+
+    def add_params(self, params: Dict[str, str]):
+        self.params.update(params)
+
+    def add_experiment_version(self, version):
+        self.experiment_versions.append(version)
+
+    def init(self):
+        # Initialize result-specific logic
+        pass
+
+    def __str__(self):
+        return f"ExperimentResult(project={self.project_name}, params={self.params}, experiment_context={self.experiment_context}, experiment_versions={self.experiment_versions})"