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https://github.com/langgenius/dify.git
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Merge remote-tracking branch 'origin/main' into feat/queue-based-graph-engine
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@ -146,7 +146,7 @@ class AccountService:
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account.last_active_at = naive_utc_now()
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db.session.commit()
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return cast(Account, account)
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return account
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@staticmethod
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def get_account_jwt_token(account: Account) -> str:
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@ -191,7 +191,7 @@ class AccountService:
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db.session.commit()
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return cast(Account, account)
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return account
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@staticmethod
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def update_account_password(account, password, new_password):
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@ -1127,7 +1127,7 @@ class TenantService:
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def get_custom_config(tenant_id: str) -> dict:
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tenant = db.get_or_404(Tenant, tenant_id)
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return cast(dict, tenant.custom_config_dict)
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return tenant.custom_config_dict
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@staticmethod
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def is_owner(account: Account, tenant: Tenant) -> bool:
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@ -1,5 +1,5 @@
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import uuid
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from typing import cast
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from typing import Optional
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import pandas as pd
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from flask_login import current_user
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@ -40,7 +40,7 @@ class AppAnnotationService:
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if not message:
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raise NotFound("Message Not Exists.")
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annotation = message.annotation
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annotation: Optional[MessageAnnotation] = message.annotation
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# save the message annotation
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if annotation:
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annotation.content = args["answer"]
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@ -70,7 +70,7 @@ class AppAnnotationService:
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app_id,
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annotation_setting.collection_binding_id,
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)
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return cast(MessageAnnotation, annotation)
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return annotation
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@classmethod
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def enable_app_annotation(cls, args: dict, app_id: str) -> dict:
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@ -1149,7 +1149,7 @@ class DocumentService:
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"search_method": RetrievalMethod.SEMANTIC_SEARCH.value,
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"reranking_enable": False,
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"reranking_model": {"reranking_provider_name": "", "reranking_model_name": ""},
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"top_k": 2,
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"top_k": 4,
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"score_threshold_enabled": False,
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}
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@ -1612,7 +1612,7 @@ class DocumentService:
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search_method=RetrievalMethod.SEMANTIC_SEARCH.value,
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reranking_enable=False,
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reranking_model=RerankingModel(reranking_provider_name="", reranking_model_name=""),
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top_k=2,
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top_k=4,
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score_threshold_enabled=False,
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)
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# save dataset
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@ -18,7 +18,7 @@ default_retrieval_model = {
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"search_method": RetrievalMethod.SEMANTIC_SEARCH.value,
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"reranking_enable": False,
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"reranking_model": {"reranking_provider_name": "", "reranking_model_name": ""},
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"top_k": 2,
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"top_k": 4,
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"score_threshold_enabled": False,
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}
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@ -66,7 +66,7 @@ class HitTestingService:
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retrieval_method=retrieval_model.get("search_method", "semantic_search"),
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dataset_id=dataset.id,
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query=query,
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top_k=retrieval_model.get("top_k", 2),
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top_k=retrieval_model.get("top_k", 4),
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score_threshold=retrieval_model.get("score_threshold", 0.0)
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if retrieval_model["score_threshold_enabled"]
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else 0.0,
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@ -112,7 +112,9 @@ class MessageService:
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base_query = base_query.where(Message.conversation_id == conversation.id)
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# Check if include_ids is not None and not empty to avoid WHERE false condition
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if include_ids is not None and len(include_ids) > 0:
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if include_ids is not None:
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if len(include_ids) == 0:
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return InfiniteScrollPagination(data=[], limit=limit, has_more=False)
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base_query = base_query.where(Message.id.in_(include_ids))
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if last_id:
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