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use model_validate (#26182)

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This commit is contained in:
Asuka Minato
2025-10-10 17:30:13 +09:00
committed by GitHub
parent aead192743
commit ab2eacb6c1
70 changed files with 260 additions and 241 deletions
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2
api/core/app/app_config/easy_ui_based_app/agent/manager.py
View File

@ -40,7 +40,7 @@ class AgentConfigManager:
"credential_id": tool.get("credential_id", None),
}
agent_tools.append(AgentToolEntity(**agent_tool_properties))
agent_tools.append(AgentToolEntity.model_validate(agent_tool_properties))
if "strategy" in config["agent_mode"] and config["agent_mode"]["strategy"] not in {
"react_router",

2
api/core/app/apps/pipeline/pipeline_runner.py
View File

@ -116,7 +116,7 @@ class PipelineRunner(WorkflowBasedAppRunner):
rag_pipeline_variables = []
if workflow.rag_pipeline_variables:
for v in workflow.rag_pipeline_variables:
rag_pipeline_variable = RAGPipelineVariable(**v)
rag_pipeline_variable = RAGPipelineVariable.model_validate(v)
if (
rag_pipeline_variable.belong_to_node_id
in (self.application_generate_entity.start_node_id, "shared")

7
api/core/datasource/entities/common_entities.py
View File

@ -1,4 +1,4 @@
from pydantic import BaseModel, Field
from pydantic import BaseModel, Field, model_validator
class I18nObject(BaseModel):
@ -11,11 +11,12 @@ class I18nObject(BaseModel):
pt_BR: str | None = Field(default=None)
ja_JP: str | None = Field(default=None)
def __init__(self, **data):
super().__init__(**data)
@model_validator(mode="after")
def _(self):
self.zh_Hans = self.zh_Hans or self.en_US
self.pt_BR = self.pt_BR or self.en_US
self.ja_JP = self.ja_JP or self.en_US
return self
def to_dict(self) -> dict:
return {"zh_Hans": self.zh_Hans, "en_US": self.en_US, "pt_BR": self.pt_BR, "ja_JP": self.ja_JP}

8
api/core/entities/provider_configuration.py
View File

@ -5,7 +5,7 @@ from collections import defaultdict
from collections.abc import Iterator, Sequence
from json import JSONDecodeError
from pydantic import BaseModel, ConfigDict, Field
from pydantic import BaseModel, ConfigDict, Field, model_validator
from sqlalchemy import func, select
from sqlalchemy.orm import Session
@ -73,9 +73,8 @@ class ProviderConfiguration(BaseModel):
# pydantic configs
model_config = ConfigDict(protected_namespaces=())
def __init__(self, **data):
super().__init__(**data)
@model_validator(mode="after")
def _(self):
if self.provider.provider not in original_provider_configurate_methods:
original_provider_configurate_methods[self.provider.provider] = []
for configurate_method in self.provider.configurate_methods:
@ -90,6 +89,7 @@ class ProviderConfiguration(BaseModel):
and ConfigurateMethod.PREDEFINED_MODEL not in self.provider.configurate_methods
):
self.provider.configurate_methods.append(ConfigurateMethod.PREDEFINED_MODEL)
return self
def get_current_credentials(self, model_type: ModelType, model: str) -> dict | None:
"""

2
api/core/helper/code_executor/code_executor.py
View File

@ -131,7 +131,7 @@ class CodeExecutor:
if (code := response_data.get("code")) != 0:
raise CodeExecutionError(f"Got error code: {code}. Got error msg: {response_data.get('message')}")
response_code = CodeExecutionResponse(**response_data)
response_code = CodeExecutionResponse.model_validate(response_data)
if response_code.data.error:
raise CodeExecutionError(response_code.data.error)

4
api/core/helper/marketplace.py
View File

@ -26,7 +26,7 @@ def batch_fetch_plugin_manifests(plugin_ids: list[str]) -> Sequence[MarketplaceP
response = httpx.post(url, json={"plugin_ids": plugin_ids}, headers={"X-Dify-Version": dify_config.project.version})
response.raise_for_status()
return [MarketplacePluginDeclaration(**plugin) for plugin in response.json()["data"]["plugins"]]
return [MarketplacePluginDeclaration.model_validate(plugin) for plugin in response.json()["data"]["plugins"]]
def batch_fetch_plugin_manifests_ignore_deserialization_error(
@ -41,7 +41,7 @@ def batch_fetch_plugin_manifests_ignore_deserialization_error(
result: list[MarketplacePluginDeclaration] = []
for plugin in response.json()["data"]["plugins"]:
try:
result.append(MarketplacePluginDeclaration(**plugin))
result.append(MarketplacePluginDeclaration.model_validate(plugin))
except Exception:
pass

38
api/core/indexing_runner.py
View File

@ -20,7 +20,7 @@ from core.rag.cleaner.clean_processor import CleanProcessor
from core.rag.datasource.keyword.keyword_factory import Keyword
from core.rag.docstore.dataset_docstore import DatasetDocumentStore
from core.rag.extractor.entity.datasource_type import DatasourceType
from core.rag.extractor.entity.extract_setting import ExtractSetting
from core.rag.extractor.entity.extract_setting import ExtractSetting, NotionInfo, WebsiteInfo
from core.rag.index_processor.constant.index_type import IndexType
from core.rag.index_processor.index_processor_base import BaseIndexProcessor
from core.rag.index_processor.index_processor_factory import IndexProcessorFactory
@ -357,14 +357,16 @@ class IndexingRunner:
raise ValueError("no notion import info found")
extract_setting = ExtractSetting(
datasource_type=DatasourceType.NOTION.value,
notion_info={
"credential_id": data_source_info["credential_id"],
"notion_workspace_id": data_source_info["notion_workspace_id"],
"notion_obj_id": data_source_info["notion_page_id"],
"notion_page_type": data_source_info["type"],
"document": dataset_document,
"tenant_id": dataset_document.tenant_id,
},
notion_info=NotionInfo.model_validate(
{
"credential_id": data_source_info["credential_id"],
"notion_workspace_id": data_source_info["notion_workspace_id"],
"notion_obj_id": data_source_info["notion_page_id"],
"notion_page_type": data_source_info["type"],
"document": dataset_document,
"tenant_id": dataset_document.tenant_id,
}
),
document_model=dataset_document.doc_form,
)
text_docs = index_processor.extract(extract_setting, process_rule_mode=process_rule["mode"])
@ -378,14 +380,16 @@ class IndexingRunner:
raise ValueError("no website import info found")
extract_setting = ExtractSetting(
datasource_type=DatasourceType.WEBSITE.value,
website_info={
"provider": data_source_info["provider"],
"job_id": data_source_info["job_id"],
"tenant_id": dataset_document.tenant_id,
"url": data_source_info["url"],
"mode": data_source_info["mode"],
"only_main_content": data_source_info["only_main_content"],
},
website_info=WebsiteInfo.model_validate(
{
"provider": data_source_info["provider"],
"job_id": data_source_info["job_id"],
"tenant_id": dataset_document.tenant_id,
"url": data_source_info["url"],
"mode": data_source_info["mode"],
"only_main_content": data_source_info["only_main_content"],
}
),
document_model=dataset_document.doc_form,
)
text_docs = index_processor.extract(extract_setting, process_rule_mode=process_rule["mode"])

2
api/core/mcp/session/client_session.py
View File

@ -294,7 +294,7 @@ class ClientSession(
method="completion/complete",
params=types.CompleteRequestParams(
ref=ref,
argument=types.CompletionArgument(**argument),
argument=types.CompletionArgument.model_validate(argument),
),
)
),

7
api/core/model_runtime/entities/common_entities.py
View File

@ -1,4 +1,4 @@
from pydantic import BaseModel
from pydantic import BaseModel, model_validator
class I18nObject(BaseModel):
@ -9,7 +9,8 @@ class I18nObject(BaseModel):
zh_Hans: str | None = None
en_US: str
def __init__(self, **data):
super().__init__(**data)
@model_validator(mode="after")
def _(self):
if not self.zh_Hans:
self.zh_Hans = self.en_US
return self

7
api/core/model_runtime/entities/provider_entities.py
View File

@ -1,7 +1,7 @@
from collections.abc import Sequence
from enum import Enum, StrEnum, auto
from pydantic import BaseModel, ConfigDict, Field, field_validator
from pydantic import BaseModel, ConfigDict, Field, field_validator, model_validator
from core.model_runtime.entities.common_entities import I18nObject
from core.model_runtime.entities.model_entities import AIModelEntity, ModelType
@ -46,10 +46,11 @@ class FormOption(BaseModel):
value: str
show_on: list[FormShowOnObject] = []
def __init__(self, **data):
super().__init__(**data)
@model_validator(mode="after")
def _(self):
if not self.label:
self.label = I18nObject(en_US=self.value)
return self
class CredentialFormSchema(BaseModel):

12
api/core/model_runtime/model_providers/model_provider_factory.py
View File

@ -269,17 +269,17 @@ class ModelProviderFactory:
}
if model_type == ModelType.LLM:
return LargeLanguageModel(**init_params) # type: ignore
return LargeLanguageModel.model_validate(init_params)
elif model_type == ModelType.TEXT_EMBEDDING:
return TextEmbeddingModel(**init_params) # type: ignore
return TextEmbeddingModel.model_validate(init_params)
elif model_type == ModelType.RERANK:
return RerankModel(**init_params) # type: ignore
return RerankModel.model_validate(init_params)
elif model_type == ModelType.SPEECH2TEXT:
return Speech2TextModel(**init_params) # type: ignore
return Speech2TextModel.model_validate(init_params)
elif model_type == ModelType.MODERATION:
return ModerationModel(**init_params) # type: ignore
return ModerationModel.model_validate(init_params)
elif model_type == ModelType.TTS:
return TTSModel(**init_params) # type: ignore
return TTSModel.model_validate(init_params)
def get_provider_icon(self, provider: str, icon_type: str, lang: str) -> tuple[bytes, str]:
"""

4
api/core/moderation/api/api.py
View File

@ -51,7 +51,7 @@ class ApiModeration(Moderation):
params = ModerationInputParams(app_id=self.app_id, inputs=inputs, query=query)
result = self._get_config_by_requestor(APIBasedExtensionPoint.APP_MODERATION_INPUT, params.model_dump())
return ModerationInputsResult(**result)
return ModerationInputsResult.model_validate(result)
return ModerationInputsResult(
flagged=flagged, action=ModerationAction.DIRECT_OUTPUT, preset_response=preset_response
@ -67,7 +67,7 @@ class ApiModeration(Moderation):
params = ModerationOutputParams(app_id=self.app_id, text=text)
result = self._get_config_by_requestor(APIBasedExtensionPoint.APP_MODERATION_OUTPUT, params.model_dump())
return ModerationOutputsResult(**result)
return ModerationOutputsResult.model_validate(result)
return ModerationOutputsResult(
flagged=flagged, action=ModerationAction.DIRECT_OUTPUT, preset_response=preset_response

10
api/core/plugin/entities/request.py
View File

@ -84,15 +84,15 @@ class RequestInvokeLLM(BaseRequestInvokeModel):
for i in range(len(v)):
if v[i]["role"] == PromptMessageRole.USER.value:
v[i] = UserPromptMessage(**v[i])
v[i] = UserPromptMessage.model_validate(v[i])
elif v[i]["role"] == PromptMessageRole.ASSISTANT.value:
v[i] = AssistantPromptMessage(**v[i])
v[i] = AssistantPromptMessage.model_validate(v[i])
elif v[i]["role"] == PromptMessageRole.SYSTEM.value:
v[i] = SystemPromptMessage(**v[i])
v[i] = SystemPromptMessage.model_validate(v[i])
elif v[i]["role"] == PromptMessageRole.TOOL.value:
v[i] = ToolPromptMessage(**v[i])
v[i] = ToolPromptMessage.model_validate(v[i])
else:
v[i] = PromptMessage(**v[i])
v[i] = PromptMessage.model_validate(v[i])
return v

28
api/core/plugin/impl/base.py
View File

@ -94,7 +94,7 @@ class BasePluginClient:
self,
method: str,
path: str,
type: type[T],
type_: type[T],
headers: dict | None = None,
data: bytes | dict | None = None,
params: dict | None = None,
@ -104,13 +104,13 @@ class BasePluginClient:
Make a stream request to the plugin daemon inner API and yield the response as a model.
"""
for line in self._stream_request(method, path, params, headers, data, files):
yield type(**json.loads(line)) # type: ignore
yield type_(**json.loads(line)) # type: ignore
def _request_with_model(
self,
method: str,
path: str,
type: type[T],
type_: type[T],
headers: dict | None = None,
data: bytes | None = None,
params: dict | None = None,
@ -120,13 +120,13 @@ class BasePluginClient:
Make a request to the plugin daemon inner API and return the response as a model.
"""
response = self._request(method, path, headers, data, params, files)
return type(**response.json()) # type: ignore
return type_(**response.json()) # type: ignore
def _request_with_plugin_daemon_response(
self,
method: str,
path: str,
type: type[T],
type_: type[T],
headers: dict | None = None,
data: bytes | dict | None = None,
params: dict | None = None,
@ -140,22 +140,22 @@ class BasePluginClient:
response = self._request(method, path, headers, data, params, files)
response.raise_for_status()
except HTTPError as e:
msg = f"Failed to request plugin daemon, status: {e.response.status_code}, url: {path}"
logger.exception(msg)
logger.exception("Failed to request plugin daemon, status: %s, url: %s", e.response.status_code, path)
raise e
except Exception as e:
msg = f"Failed to request plugin daemon, url: {path}"
logger.exception(msg)
logger.exception("Failed to request plugin daemon, url: %s", path)
raise ValueError(msg) from e
try:
json_response = response.json()
if transformer:
json_response = transformer(json_response)
rep = PluginDaemonBasicResponse[type](**json_response) # type: ignore
# https://stackoverflow.com/questions/59634937/variable-foo-class-is-not-valid-as-type-but-why
rep = PluginDaemonBasicResponse[type_].model_validate(json_response) # type: ignore
except Exception:
msg = (
f"Failed to parse response from plugin daemon to PluginDaemonBasicResponse [{str(type.__name__)}],"
f"Failed to parse response from plugin daemon to PluginDaemonBasicResponse [{str(type_.__name__)}],"
f" url: {path}"
)
logger.exception(msg)
@ -163,7 +163,7 @@ class BasePluginClient:
if rep.code != 0:
try:
error = PluginDaemonError(**json.loads(rep.message))
error = PluginDaemonError.model_validate(json.loads(rep.message))
except Exception:
raise ValueError(f"{rep.message}, code: {rep.code}")
@ -178,7 +178,7 @@ class BasePluginClient:
self,
method: str,
path: str,
type: type[T],
type_: type[T],
headers: dict | None = None,
data: bytes | dict | None = None,
params: dict | None = None,
@ -189,7 +189,7 @@ class BasePluginClient:
"""
for line in self._stream_request(method, path, params, headers, data, files):
try:
rep = PluginDaemonBasicResponse[type].model_validate_json(line) # type: ignore
rep = PluginDaemonBasicResponse[type_].model_validate_json(line) # type: ignore
except (ValueError, TypeError):
# TODO modify this when line_data has code and message
try:
@ -204,7 +204,7 @@ class BasePluginClient:
if rep.code != 0:
if rep.code == -500:
try:
error = PluginDaemonError(**json.loads(rep.message))
error = PluginDaemonError.model_validate(json.loads(rep.message))
except Exception:
raise PluginDaemonInnerError(code=rep.code, message=rep.message)

6
api/core/plugin/impl/datasource.py
View File

@ -46,7 +46,9 @@ class PluginDatasourceManager(BasePluginClient):
params={"page": 1, "page_size": 256},
transformer=transformer,
)
local_file_datasource_provider = PluginDatasourceProviderEntity(**self._get_local_file_datasource_provider())
local_file_datasource_provider = PluginDatasourceProviderEntity.model_validate(
self._get_local_file_datasource_provider()
)
for provider in response:
ToolTransformService.repack_provider(tenant_id=tenant_id, provider=provider)
@ -104,7 +106,7 @@ class PluginDatasourceManager(BasePluginClient):
Fetch datasource provider for the given tenant and plugin.
"""
if provider_id == "langgenius/file/file":
return PluginDatasourceProviderEntity(**self._get_local_file_datasource_provider())
return PluginDatasourceProviderEntity.model_validate(self._get_local_file_datasource_provider())
tool_provider_id = DatasourceProviderID(provider_id)

18
api/core/plugin/impl/model.py
View File

@ -162,7 +162,7 @@ class PluginModelClient(BasePluginClient):
response = self._request_with_plugin_daemon_response_stream(
method="POST",
path=f"plugin/{tenant_id}/dispatch/llm/invoke",
type=LLMResultChunk,
type_=LLMResultChunk,
data=jsonable_encoder(
{
"user_id": user_id,
@ -208,7 +208,7 @@ class PluginModelClient(BasePluginClient):
response = self._request_with_plugin_daemon_response_stream(
method="POST",
path=f"plugin/{tenant_id}/dispatch/llm/num_tokens",
type=PluginLLMNumTokensResponse,
type_=PluginLLMNumTokensResponse,
data=jsonable_encoder(
{
"user_id": user_id,
@ -250,7 +250,7 @@ class PluginModelClient(BasePluginClient):
response = self._request_with_plugin_daemon_response_stream(
method="POST",
path=f"plugin/{tenant_id}/dispatch/text_embedding/invoke",
type=TextEmbeddingResult,
type_=TextEmbeddingResult,
data=jsonable_encoder(
{
"user_id": user_id,
@ -291,7 +291,7 @@ class PluginModelClient(BasePluginClient):
response = self._request_with_plugin_daemon_response_stream(
method="POST",
path=f"plugin/{tenant_id}/dispatch/text_embedding/num_tokens",
type=PluginTextEmbeddingNumTokensResponse,
type_=PluginTextEmbeddingNumTokensResponse,
data=jsonable_encoder(
{
"user_id": user_id,
@ -334,7 +334,7 @@ class PluginModelClient(BasePluginClient):
response = self._request_with_plugin_daemon_response_stream(
method="POST",
path=f"plugin/{tenant_id}/dispatch/rerank/invoke",
type=RerankResult,
type_=RerankResult,
data=jsonable_encoder(
{
"user_id": user_id,
@ -378,7 +378,7 @@ class PluginModelClient(BasePluginClient):
response = self._request_with_plugin_daemon_response_stream(
method="POST",
path=f"plugin/{tenant_id}/dispatch/tts/invoke",
type=PluginStringResultResponse,
type_=PluginStringResultResponse,
data=jsonable_encoder(
{
"user_id": user_id,
@ -422,7 +422,7 @@ class PluginModelClient(BasePluginClient):
response = self._request_with_plugin_daemon_response_stream(
method="POST",
path=f"plugin/{tenant_id}/dispatch/tts/model/voices",
type=PluginVoicesResponse,
type_=PluginVoicesResponse,
data=jsonable_encoder(
{
"user_id": user_id,
@ -466,7 +466,7 @@ class PluginModelClient(BasePluginClient):
response = self._request_with_plugin_daemon_response_stream(
method="POST",
path=f"plugin/{tenant_id}/dispatch/speech2text/invoke",
type=PluginStringResultResponse,
type_=PluginStringResultResponse,
data=jsonable_encoder(
{
"user_id": user_id,
@ -506,7 +506,7 @@ class PluginModelClient(BasePluginClient):
response = self._request_with_plugin_daemon_response_stream(
method="POST",
path=f"plugin/{tenant_id}/dispatch/moderation/invoke",
type=PluginBasicBooleanResponse,
type_=PluginBasicBooleanResponse,
data=jsonable_encoder(
{
"user_id": user_id,

2
api/core/rag/datasource/retrieval_service.py
View File

@ -134,7 +134,7 @@ class RetrievalService:
if not dataset:
return []
metadata_condition = (
MetadataCondition(**metadata_filtering_conditions) if metadata_filtering_conditions else None
MetadataCondition.model_validate(metadata_filtering_conditions) if metadata_filtering_conditions else None
)
all_documents = ExternalDatasetService.fetch_external_knowledge_retrieval(
dataset.tenant_id,

6
api/core/rag/extractor/entity/extract_setting.py
View File

@ -17,9 +17,6 @@ class NotionInfo(BaseModel):
tenant_id: str
model_config = ConfigDict(arbitrary_types_allowed=True)
def __init__(self, **data):
super().__init__(**data)
class WebsiteInfo(BaseModel):
"""
@ -47,6 +44,3 @@ class ExtractSetting(BaseModel):
website_info: WebsiteInfo | None = None
document_model: str | None = None
model_config = ConfigDict(arbitrary_types_allowed=True)
def __init__(self, **data):
super().__init__(**data)

4
api/core/rag/index_processor/processor/paragraph_index_processor.py
View File

@ -38,11 +38,11 @@ class ParagraphIndexProcessor(BaseIndexProcessor):
raise ValueError("No process rule found.")
if process_rule.get("mode") == "automatic":
automatic_rule = DatasetProcessRule.AUTOMATIC_RULES
rules = Rule(**automatic_rule)
rules = Rule.model_validate(automatic_rule)
else:
if not process_rule.get("rules"):
raise ValueError("No rules found in process rule.")
rules = Rule(**process_rule.get("rules"))
rules = Rule.model_validate(process_rule.get("rules"))
# Split the text documents into nodes.
if not rules.segmentation:
raise ValueError("No segmentation found in rules.")

8
api/core/rag/index_processor/processor/parent_child_index_processor.py
View File

@ -40,7 +40,7 @@ class ParentChildIndexProcessor(BaseIndexProcessor):
raise ValueError("No process rule found.")
if not process_rule.get("rules"):
raise ValueError("No rules found in process rule.")
rules = Rule(**process_rule.get("rules"))
rules = Rule.model_validate(process_rule.get("rules"))
all_documents: list[Document] = []
if rules.parent_mode == ParentMode.PARAGRAPH:
# Split the text documents into nodes.
@ -110,7 +110,7 @@ class ParentChildIndexProcessor(BaseIndexProcessor):
child_documents = document.children
if child_documents:
formatted_child_documents = [
Document(**child_document.model_dump()) for child_document in child_documents
Document.model_validate(child_document.model_dump()) for child_document in child_documents
]
vector.create(formatted_child_documents)
@ -224,7 +224,7 @@ class ParentChildIndexProcessor(BaseIndexProcessor):
return child_nodes
def index(self, dataset: Dataset, document: DatasetDocument, chunks: Any):
parent_childs = ParentChildStructureChunk(**chunks)
parent_childs = ParentChildStructureChunk.model_validate(chunks)
documents = []
for parent_child in parent_childs.parent_child_chunks:
metadata = {
@ -274,7 +274,7 @@ class ParentChildIndexProcessor(BaseIndexProcessor):
vector.create(all_child_documents)
def format_preview(self, chunks: Any) -> Mapping[str, Any]:
parent_childs = ParentChildStructureChunk(**chunks)
parent_childs = ParentChildStructureChunk.model_validate(chunks)
preview = []
for parent_child in parent_childs.parent_child_chunks:
preview.append({"content": parent_child.parent_content, "child_chunks": parent_child.child_contents})

6
api/core/rag/index_processor/processor/qa_index_processor.py
View File

@ -47,7 +47,7 @@ class QAIndexProcessor(BaseIndexProcessor):
raise ValueError("No process rule found.")
if not process_rule.get("rules"):
raise ValueError("No rules found in process rule.")
rules = Rule(**process_rule.get("rules"))
rules = Rule.model_validate(process_rule.get("rules"))
splitter = self._get_splitter(
processing_rule_mode=process_rule.get("mode"),
max_tokens=rules.segmentation.max_tokens if rules.segmentation else 0,
@ -168,7 +168,7 @@ class QAIndexProcessor(BaseIndexProcessor):
return docs
def index(self, dataset: Dataset, document: DatasetDocument, chunks: Any):
qa_chunks = QAStructureChunk(**chunks)
qa_chunks = QAStructureChunk.model_validate(chunks)
documents = []
for qa_chunk in qa_chunks.qa_chunks:
metadata = {
@ -191,7 +191,7 @@ class QAIndexProcessor(BaseIndexProcessor):
raise ValueError("Indexing technique must be high quality.")
def format_preview(self, chunks: Any) -> Mapping[str, Any]:
qa_chunks = QAStructureChunk(**chunks)
qa_chunks = QAStructureChunk.model_validate(chunks)
preview = []
for qa_chunk in qa_chunks.qa_chunks:
preview.append({"question": qa_chunk.question, "answer": qa_chunk.answer})

2
api/core/tools/builtin_tool/provider.py
View File

@ -90,7 +90,7 @@ class BuiltinToolProviderController(ToolProviderController):
tools.append(
assistant_tool_class(
provider=provider,
entity=ToolEntity(**tool),
entity=ToolEntity.model_validate(tool),
runtime=ToolRuntime(tenant_id=""),
)
)

7
api/core/tools/entities/common_entities.py
View File

@ -1,4 +1,4 @@
from pydantic import BaseModel, Field
from pydantic import BaseModel, Field, model_validator
class I18nObject(BaseModel):
@ -11,11 +11,12 @@ class I18nObject(BaseModel):
pt_BR: str | None = Field(default=None)
ja_JP: str | None = Field(default=None)
def __init__(self, **data):
super().__init__(**data)
@model_validator(mode="after")
def _populate_missing_locales(self):
self.zh_Hans = self.zh_Hans or self.en_US
self.pt_BR = self.pt_BR or self.en_US
self.ja_JP = self.ja_JP or self.en_US
return self
def to_dict(self):
return {"zh_Hans": self.zh_Hans, "en_US": self.en_US, "pt_BR": self.pt_BR, "ja_JP": self.ja_JP}

2
api/core/tools/mcp_tool/provider.py
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@ -54,7 +54,7 @@ class MCPToolProviderController(ToolProviderController):
"""
tools = []
tools_data = json.loads(db_provider.tools)
remote_mcp_tools = [RemoteMCPTool(**tool) for tool in tools_data]
remote_mcp_tools = [RemoteMCPTool.model_validate(tool) for tool in tools_data]
user = db_provider.load_user()
tools = [
ToolEntity(

2
api/core/tools/tool_manager.py
View File

@ -1008,7 +1008,7 @@ class ToolManager:
config = tool_configurations.get(parameter.name, {})
if not (config and isinstance(config, dict) and config.get("value") is not None):
continue
tool_input = ToolNodeData.ToolInput(**tool_configurations.get(parameter.name, {}))
tool_input = ToolNodeData.ToolInput.model_validate(tool_configurations.get(parameter.name, {}))
if tool_input.type == "variable":
variable = variable_pool.get(tool_input.value)
if variable is None:

4
api/core/workflow/graph_engine/command_channels/redis_channel.py
View File

@ -105,10 +105,10 @@ class RedisChannel:
command_type = CommandType(command_type_value)
if command_type == CommandType.ABORT:
return AbortCommand(**data)
return AbortCommand.model_validate(data)
else:
# For other command types, use base class
return GraphEngineCommand(**data)
return GraphEngineCommand.model_validate(data)
except (ValueError, TypeError):
return None

2
api/core/workflow/nodes/end/end_node.py
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@ -16,7 +16,7 @@ class EndNode(Node):
_node_data: EndNodeData
def init_node_data(self, data: Mapping[str, Any]):
self._node_data = EndNodeData(**data)
self._node_data = EndNodeData.model_validate(data)
def _get_error_strategy(self) -> ErrorStrategy | None:
return self._node_data.error_strategy

2
api/core/workflow/nodes/iteration/iteration_start_node.py
View File

@ -18,7 +18,7 @@ class IterationStartNode(Node):
_node_data: IterationStartNodeData
def init_node_data(self, data: Mapping[str, Any]):
self._node_data = IterationStartNodeData(**data)
self._node_data = IterationStartNodeData.model_validate(data)
def _get_error_strategy(self) -> ErrorStrategy | None:
return self._node_data.error_strategy

2
api/core/workflow/nodes/list_operator/node.py
View File

@ -41,7 +41,7 @@ class ListOperatorNode(Node):
_node_data: ListOperatorNodeData
def init_node_data(self, data: Mapping[str, Any]):
self._node_data = ListOperatorNodeData(**data)
self._node_data = ListOperatorNodeData.model_validate(data)
def _get_error_strategy(self) -> ErrorStrategy | None:
return self._node_data.error_strategy

2
api/core/workflow/nodes/loop/loop_end_node.py
View File

@ -18,7 +18,7 @@ class LoopEndNode(Node):
_node_data: LoopEndNodeData
def init_node_data(self, data: Mapping[str, Any]):
self._node_data = LoopEndNodeData(**data)
self._node_data = LoopEndNodeData.model_validate(data)
def _get_error_strategy(self) -> ErrorStrategy | None:
return self._node_data.error_strategy

2
api/core/workflow/nodes/loop/loop_start_node.py
View File

@ -18,7 +18,7 @@ class LoopStartNode(Node):
_node_data: LoopStartNodeData
def init_node_data(self, data: Mapping[str, Any]):
self._node_data = LoopStartNodeData(**data)
self._node_data = LoopStartNodeData.model_validate(data)
def _get_error_strategy(self) -> ErrorStrategy | None:
return self._node_data.error_strategy

2
api/core/workflow/nodes/start/start_node.py
View File

@ -16,7 +16,7 @@ class StartNode(Node):
_node_data: StartNodeData
def init_node_data(self, data: Mapping[str, Any]):
self._node_data = StartNodeData(**data)
self._node_data = StartNodeData.model_validate(data)
def _get_error_strategy(self) -> ErrorStrategy | None:
return self._node_data.error_strategy

2
api/core/workflow/nodes/variable_aggregator/variable_aggregator_node.py
View File

@ -15,7 +15,7 @@ class VariableAggregatorNode(Node):
_node_data: VariableAssignerNodeData
def init_node_data(self, data: Mapping[str, Any]):
self._node_data = VariableAssignerNodeData(**data)
self._node_data = VariableAssignerNodeData.model_validate(data)
def _get_error_strategy(self) -> ErrorStrategy | None:
return self._node_data.error_strategy