This commit is contained in:
Joel
2026-01-26 16:57:45 +08:00
103 changed files with 22560 additions and 2384 deletions

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@ -781,15 +781,16 @@ class AppDslService:
return dependencies
@classmethod
def get_leaked_dependencies(cls, tenant_id: str, dsl_dependencies: list[dict]) -> list[PluginDependency]:
def get_leaked_dependencies(
cls, tenant_id: str, dsl_dependencies: list[PluginDependency]
) -> list[PluginDependency]:
"""
Returns the leaked dependencies in current workspace
"""
dependencies = [PluginDependency.model_validate(dep) for dep in dsl_dependencies]
if not dependencies:
if not dsl_dependencies:
return []
return DependenciesAnalysisService.get_leaked_dependencies(tenant_id=tenant_id, dependencies=dependencies)
return DependenciesAnalysisService.get_leaked_dependencies(tenant_id=tenant_id, dependencies=dsl_dependencies)
@staticmethod
def _generate_aes_key(tenant_id: str) -> bytes:

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@ -4,6 +4,7 @@ from pydantic import BaseModel, ConfigDict, Field
from configs import dify_config
from enums.cloud_plan import CloudPlan
from enums.hosted_provider import HostedTrialProvider
from services.billing_service import BillingService
from services.enterprise.enterprise_service import EnterpriseService
@ -171,6 +172,7 @@ class SystemFeatureModel(BaseModel):
plugin_installation_permission: PluginInstallationPermissionModel = PluginInstallationPermissionModel()
enable_change_email: bool = True
plugin_manager: PluginManagerModel = PluginManagerModel()
trial_models: list[str] = []
enable_trial_app: bool = False
enable_explore_banner: bool = False
@ -229,9 +231,21 @@ class FeatureService:
system_features.is_allow_register = dify_config.ALLOW_REGISTER
system_features.is_allow_create_workspace = dify_config.ALLOW_CREATE_WORKSPACE
system_features.is_email_setup = dify_config.MAIL_TYPE is not None and dify_config.MAIL_TYPE != ""
system_features.trial_models = cls._fulfill_trial_models_from_env()
system_features.enable_trial_app = dify_config.ENABLE_TRIAL_APP
system_features.enable_explore_banner = dify_config.ENABLE_EXPLORE_BANNER
@classmethod
def _fulfill_trial_models_from_env(cls) -> list[str]:
return [
provider.value
for provider in HostedTrialProvider
if (
getattr(dify_config, f"HOSTED_{provider.config_key}_PAID_ENABLED", False)
and getattr(dify_config, f"HOSTED_{provider.config_key}_TRIAL_ENABLED", False)
)
]
@classmethod
def _fulfill_params_from_env(cls, features: FeatureModel):
features.can_replace_logo = dify_config.CAN_REPLACE_LOGO

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@ -870,15 +870,16 @@ class RagPipelineDslService:
return dependencies
@classmethod
def get_leaked_dependencies(cls, tenant_id: str, dsl_dependencies: list[dict]) -> list[PluginDependency]:
def get_leaked_dependencies(
cls, tenant_id: str, dsl_dependencies: list[PluginDependency]
) -> list[PluginDependency]:
"""
Returns the leaked dependencies in current workspace
"""
dependencies = [PluginDependency.model_validate(dep) for dep in dsl_dependencies]
if not dependencies:
if not dsl_dependencies:
return []
return DependenciesAnalysisService.get_leaked_dependencies(tenant_id=tenant_id, dependencies=dependencies)
return DependenciesAnalysisService.get_leaked_dependencies(tenant_id=tenant_id, dependencies=dsl_dependencies)
def _generate_aes_key(self, tenant_id: str) -> bytes:
"""Generate AES key based on tenant_id"""

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@ -44,7 +44,7 @@ class RagPipelineTransformService:
doc_form = dataset.doc_form
if not doc_form:
return self._transform_to_empty_pipeline(dataset)
retrieval_model = dataset.retrieval_model
retrieval_model = RetrievalSetting.model_validate(dataset.retrieval_model) if dataset.retrieval_model else None
pipeline_yaml = self._get_transform_yaml(doc_form, datasource_type, indexing_technique)
# deal dependencies
self._deal_dependencies(pipeline_yaml, dataset.tenant_id)
@ -154,7 +154,12 @@ class RagPipelineTransformService:
return node
def _deal_knowledge_index(
self, dataset: Dataset, doc_form: str, indexing_technique: str | None, retrieval_model: dict, node: dict
self,
dataset: Dataset,
doc_form: str,
indexing_technique: str | None,
retrieval_model: RetrievalSetting | None,
node: dict,
):
knowledge_configuration_dict = node.get("data", {})
knowledge_configuration = KnowledgeConfiguration.model_validate(knowledge_configuration_dict)
@ -163,10 +168,9 @@ class RagPipelineTransformService:
knowledge_configuration.embedding_model = dataset.embedding_model
knowledge_configuration.embedding_model_provider = dataset.embedding_model_provider
if retrieval_model:
retrieval_setting = RetrievalSetting.model_validate(retrieval_model)
if indexing_technique == "economy":
retrieval_setting.search_method = RetrievalMethod.KEYWORD_SEARCH
knowledge_configuration.retrieval_model = retrieval_setting
retrieval_model.search_method = RetrievalMethod.KEYWORD_SEARCH
knowledge_configuration.retrieval_model = retrieval_model
else:
dataset.retrieval_model = knowledge_configuration.retrieval_model.model_dump()