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chariri 2026-06-25 18:39:26 +00:00 committed by GitHub
commit 596fb5b48c
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58 changed files with 3706 additions and 3112 deletions

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@ -167,12 +167,16 @@ register_schema_models(
ChatMessagesQuery,
MessageFeedbackPayload,
FeedbackExportQuery,
)
register_response_schema_models(
console_ns,
AnnotationCountResponse,
SuggestedQuestionsResponse,
MessageDetailResponse,
MessageInfiniteScrollPaginationResponse,
SimpleResultResponse,
TextFileResponse,
)
register_response_schema_models(console_ns, SimpleResultResponse, TextFileResponse)
@console_ns.route("/apps/<uuid:app_id>/chat-messages")

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@ -28,6 +28,7 @@ from controllers.console.wraps import (
with_current_tenant_id,
with_current_user,
)
from core.entities.knowledge_entities import IndexingEstimate
from core.errors.error import LLMBadRequestError, ProviderTokenNotInitError
from core.indexing_runner import IndexingRunner
from core.plugin.impl.model_runtime_factory import create_plugin_provider_manager
@ -266,21 +267,10 @@ class ErrorDocsResponse(DocumentStatusListResponse):
total: int
class IndexingEstimatePreviewItemResponse(ResponseModel):
content: str
child_chunks: list[str] | None = None
summary: str | None = None
class IndexingEstimateQaPreviewItemResponse(ResponseModel):
question: str
answer: str
class IndexingEstimateResponse(ResponseModel):
total_segments: int
preview: list[IndexingEstimatePreviewItemResponse]
qa_preview: list[IndexingEstimateQaPreviewItemResponse] | None = None
class IndexingEstimateResponse(IndexingEstimate):
tokens: int
total_price: float | int
currency: str
class RetrievalSettingResponse(ResponseModel):
@ -640,7 +630,7 @@ class DatasetApi(Resource):
else:
data["embedding_available"] = True
return data, 200
return dump_response(DatasetDetailWithPartialMembersResponse, data), 200
@console_ns.doc("update_dataset")
@console_ns.doc(description="Update dataset details")
@ -706,7 +696,7 @@ class DatasetApi(Resource):
partial_member_list = DatasetPermissionService.get_dataset_partial_member_list(dataset_id_str)
result_data.update({"partial_member_list": partial_member_list})
return result_data, 200
return dump_response(DatasetDetailWithPartialMembersResponse, result_data), 200
@setup_required
@login_required
@ -749,7 +739,7 @@ class DatasetUseCheckApi(Resource):
dataset_id_str = str(dataset_id)
dataset_is_using = DatasetService.dataset_use_check(dataset_id_str)
return {"is_using": dataset_is_using}, 200
return UsageCheckResponse(is_using=dataset_is_using).model_dump(mode="json"), 200
@console_ns.route("/datasets/<uuid:dataset_id>/queries")
@ -890,7 +880,17 @@ class DatasetIndexingEstimateApi(Resource):
except Exception as e:
raise IndexingEstimateError(str(e))
return response.model_dump(), 200
return (
IndexingEstimateResponse(
tokens=0,
total_price=0,
currency="USD",
total_segments=response.total_segments,
preview=response.preview,
qa_preview=response.qa_preview,
).model_dump(mode="json", exclude_none=True),
200,
)
@console_ns.route("/datasets/<uuid:dataset_id>/related-apps")
@ -1007,7 +1007,7 @@ class DatasetApiKeyApi(Resource):
keys = db.session.scalars(
select(ApiToken).where(ApiToken.type == self.resource_type, ApiToken.tenant_id == current_tenant_id)
).all()
return ApiKeyList.model_validate({"data": keys}, from_attributes=True).model_dump(mode="json")
return dump_response(ApiKeyList, {"data": keys})
@console_ns.response(200, "API key created successfully", console_ns.models[ApiKeyItem.__name__])
@console_ns.response(400, "Maximum keys exceeded")
@ -1041,7 +1041,7 @@ class DatasetApiKeyApi(Resource):
api_token.type = self.resource_type
db.session.add(api_token)
db.session.commit()
return ApiKeyItem.model_validate(api_token, from_attributes=True).model_dump(mode="json"), 200
return dump_response(ApiKeyItem, api_token), 200
@console_ns.route("/datasets/api-keys/<uuid:api_key_id>")
@ -1096,7 +1096,7 @@ class DatasetEnableApiApi(Resource):
DatasetService.update_dataset_api_status(dataset_id_str, status == "enable")
return {"result": "success"}, 200
return SimpleResultResponse(result="success").model_dump(mode="json"), 200
@console_ns.route("/datasets/api-base-info")
@ -1109,7 +1109,7 @@ class DatasetApiBaseUrlApi(Resource):
@account_initialization_required
def get(self):
base = dify_config.SERVICE_API_URL or request.host_url.rstrip("/")
return {"api_base_url": normalize_api_base_url(base)}
return ApiBaseUrlResponse(api_base_url=normalize_api_base_url(base)).model_dump(mode="json")
@console_ns.route("/datasets/retrieval-setting")

View File

@ -10,16 +10,17 @@ from uuid import UUID
import sqlalchemy as sa
from flask import request, send_file
from flask_restx import Resource
from pydantic import BaseModel, Field, RootModel, field_validator
from pydantic import BaseModel, Field, JsonValue, field_validator
from sqlalchemy import asc, desc, func, select
from werkzeug.exceptions import Forbidden, NotFound
import services
from controllers.common.controller_schemas import DocumentBatchDownloadZipPayload
from controllers.common.fields import BinaryFileResponse, SimpleResultMessageResponse, SimpleResultResponse, UrlResponse
from controllers.common.fields import SimpleResultMessageResponse, SimpleResultResponse, UrlResponse
from controllers.common.schema import register_response_schema_models, register_schema_models
from controllers.console import console_ns
from controllers.console.wraps import RBACPermission, RBACResourceScope, rbac_permission_required
from core.entities.knowledge_entities import IndexingEstimate
from core.errors.error import (
LLMBadRequestError,
ModelCurrentlyNotSupportError,
@ -29,6 +30,7 @@ from core.errors.error import (
from core.indexing_runner import IndexingRunner
from core.model_manager import ModelManager
from core.plugin.impl.exc import PluginDaemonClientSideError
from core.rag.entities import Rule
from core.rag.extractor.entity.datasource_type import DatasourceType
from core.rag.extractor.entity.extract_setting import ExtractSetting, NotionInfo, WebsiteInfo
from core.rag.index_processor.constant.index_type import IndexTechniqueType
@ -48,7 +50,7 @@ from libs.helper import dump_response, to_timestamp
from libs.login import login_required
from models import Account, DatasetProcessRule, Document, DocumentSegment, UploadFile
from models.dataset import DocumentPipelineExecutionLog
from models.enums import IndexingStatus, SegmentStatus
from models.enums import IndexingStatus, ProcessRuleMode, SegmentStatus
from services.dataset_service import DatasetService, DocumentService
from services.entities.knowledge_entities.knowledge_entities import KnowledgeConfig, ProcessRule, RetrievalModel
from services.file_service import FileService
@ -146,8 +148,91 @@ class DocumentWithSegmentsListResponse(ResponseModel):
page: int
class OpaqueObjectResponse(RootModel[dict[str, Any]]):
root: dict[str, Any]
class IndexingEstimateResponse(IndexingEstimate):
tokens: int
total_price: float | int
currency: str
class DocumentDetailResponse(ResponseModel):
id: str
position: int | None = None
data_source_type: str | None = None
data_source_info: Any = None
data_source_detail_dict: Any = None
dataset_process_rule_id: str | None = None
dataset_process_rule: Any = None
document_process_rule: Any = None
name: str | None = None
created_from: str | None = None
created_by: str | None = None
created_at: int | None = None
tokens: int | None = None
indexing_status: str | None = None
completed_at: int | None = None
updated_at: int | None = None
indexing_latency: float | None = None
error: str | None = None
enabled: bool | None = None
disabled_at: int | None = None
disabled_by: str | None = None
archived: bool | None = None
doc_type: str | None = None
doc_metadata: list[DocumentMetadataResponse] | None = None
segment_count: int | None = None
average_segment_length: float | None = None
hit_count: int | None = None
display_status: str | None = None
doc_form: str | None = None
doc_language: str | None = None
need_summary: bool | None = None
@field_validator("data_source_type", "indexing_status", "display_status", "doc_form", mode="before")
@classmethod
def _normalize_enum_fields(cls, value: Any) -> Any:
return normalize_enum(value)
class SummaryStatusResponse(ResponseModel):
completed: int = 0
generating: int = 0
error: int = 0
not_started: int = 0
timeout: int = 0
class SummaryEntryResponse(ResponseModel):
segment_id: str
segment_position: int
status: str
summary_preview: str | None = None
error: str | None = None
created_at: int | None = None
updated_at: int | None = None
@field_validator("status", mode="before")
@classmethod
def _normalize_status(cls, value: Any) -> Any:
return normalize_enum(value)
class DocumentSummaryStatusResponse(ResponseModel):
total_segments: int
summary_status: SummaryStatusResponse
summaries: list[SummaryEntryResponse]
class ProcessRuleResponse(ResponseModel):
mode: ProcessRuleMode
rules: Rule | None = None
limits: dict[str, Any]
class DocumentPipelineExecutionLogResponse(ResponseModel):
datasource_info: JsonValue | None = None
datasource_type: str | None = None
input_data: JsonValue | None = None
datasource_node_id: str | None = None
register_schema_models(
@ -163,7 +248,6 @@ register_schema_models(
)
register_response_schema_models(
console_ns,
BinaryFileResponse,
SimpleResultMessageResponse,
SimpleResultResponse,
UrlResponse,
@ -173,7 +257,11 @@ register_response_schema_models(
DocumentWithSegmentsResponse,
DatasetAndDocumentResponse,
DocumentWithSegmentsListResponse,
OpaqueObjectResponse,
IndexingEstimateResponse,
DocumentDetailResponse,
DocumentSummaryStatusResponse,
ProcessRuleResponse,
DocumentPipelineExecutionLogResponse,
)
@ -223,7 +311,7 @@ class GetProcessRuleApi(Resource):
@console_ns.doc("get_process_rule")
@console_ns.doc(description="Get dataset document processing rules")
@console_ns.doc(params={"document_id": "Document ID (optional)"})
@console_ns.response(200, "Process rules retrieved successfully", console_ns.models[OpaqueObjectResponse.__name__])
@console_ns.response(200, "Process rules retrieved successfully", console_ns.models[ProcessRuleResponse.__name__])
@setup_required
@login_required
@account_initialization_required
@ -262,7 +350,7 @@ class GetProcessRuleApi(Resource):
mode = dataset_process_rule.mode
rules = dataset_process_rule.rules_dict
return {"mode": mode, "rules": rules, "limits": limits}
return dump_response(ProcessRuleResponse, {"mode": mode, "rules": rules, "limits": limits})
@console_ns.route("/datasets/<uuid:dataset_id>/documents")
@ -485,7 +573,7 @@ class DatasetInitApi(Resource):
@console_ns.doc(description="Initialize dataset with documents")
@console_ns.expect(console_ns.models[KnowledgeConfig.__name__])
@console_ns.response(
201, "Dataset initialized successfully", console_ns.models[DatasetAndDocumentResponse.__name__]
200, "Dataset initialized successfully", console_ns.models[DatasetAndDocumentResponse.__name__]
)
@console_ns.response(400, "Invalid request parameters")
@setup_required
@ -550,7 +638,7 @@ class DocumentIndexingEstimateApi(DocumentResource):
@console_ns.response(
200,
"Indexing estimate calculated successfully",
console_ns.models[OpaqueObjectResponse.__name__],
console_ns.models[IndexingEstimateResponse.__name__],
)
@console_ns.response(404, "Document not found")
@console_ns.response(400, "Document already finished")
@ -571,8 +659,6 @@ class DocumentIndexingEstimateApi(DocumentResource):
data_process_rule = document.dataset_process_rule
data_process_rule_dict = data_process_rule.to_dict() if data_process_rule else {}
response = {"tokens": 0, "total_price": 0, "currency": "USD", "total_segments": 0, "preview": []}
if document.data_source_type == "upload_file":
data_source_info = document.data_source_info_dict
if data_source_info and "upload_file_id" in data_source_info:
@ -603,7 +689,18 @@ class DocumentIndexingEstimateApi(DocumentResource):
"English",
dataset_id_str,
)
return estimate_response.model_dump(), 200
return (
# TODO: why using zero here? the same for the below endpoint
IndexingEstimateResponse(
tokens=0,
total_price=0,
currency="USD",
total_segments=estimate_response.total_segments,
preview=estimate_response.preview,
qa_preview=estimate_response.qa_preview,
).model_dump(mode="json", exclude_none=True),
200,
)
except LLMBadRequestError:
raise ProviderNotInitializeError(
"No Embedding Model available. Please configure a valid provider "
@ -616,15 +713,24 @@ class DocumentIndexingEstimateApi(DocumentResource):
except Exception as e:
raise IndexingEstimateError(str(e))
return response, 200
return (
IndexingEstimateResponse(
tokens=0,
total_price=0,
currency="USD",
total_segments=0,
preview=[],
).model_dump(mode="json", exclude_none=True),
200,
)
@console_ns.route("/datasets/<uuid:dataset_id>/batch/<string:batch>/indexing-estimate")
class DocumentBatchIndexingEstimateApi(DocumentResource):
@console_ns.response(
200,
"Batch indexing estimate calculated successfully",
console_ns.models[OpaqueObjectResponse.__name__],
"Indexing estimate calculated successfully",
console_ns.models[IndexingEstimateResponse.__name__],
)
@setup_required
@login_required
@ -636,7 +742,16 @@ class DocumentBatchIndexingEstimateApi(DocumentResource):
dataset_id_str = str(dataset_id)
documents = self.get_batch_documents(dataset_id_str, batch, current_user)
if not documents:
return {"tokens": 0, "total_price": 0, "currency": "USD", "total_segments": 0, "preview": []}, 200
return (
IndexingEstimateResponse(
tokens=0,
total_price=0,
currency="USD",
total_segments=0,
preview=[],
).model_dump(mode="json", exclude_none=True),
200,
)
data_process_rule = documents[0].dataset_process_rule
data_process_rule_dict = data_process_rule.to_dict() if data_process_rule else {}
extract_settings = []
@ -710,7 +825,17 @@ class DocumentBatchIndexingEstimateApi(DocumentResource):
"English",
dataset_id_str,
)
return response.model_dump(), 200
return (
IndexingEstimateResponse(
tokens=0,
total_price=0,
currency="USD",
total_segments=response.total_segments,
preview=response.preview,
qa_preview=response.qa_preview,
).model_dump(mode="json", exclude_none=True),
200,
)
except LLMBadRequestError:
raise ProviderNotInitializeError(
"No Embedding Model available. Please configure a valid provider in the Settings -> Model Provider."
@ -847,7 +972,7 @@ class DocumentApi(DocumentResource):
"metadata": "Metadata inclusion (all/only/without)",
}
)
@console_ns.response(200, "Document retrieved successfully", console_ns.models[OpaqueObjectResponse.__name__])
@console_ns.response(200, "Document retrieved successfully", console_ns.models[DocumentDetailResponse.__name__])
@console_ns.response(404, "Document not found")
@setup_required
@login_required
@ -864,46 +989,21 @@ class DocumentApi(DocumentResource):
if metadata not in self.METADATA_CHOICES:
raise InvalidMetadataError(f"Invalid metadata value: {metadata}")
metadata_fields = {"doc_type", "doc_metadata"}
if metadata == "only":
response = {"id": document.id, "doc_type": document.doc_type, "doc_metadata": document.doc_metadata_details}
elif metadata == "without":
dataset_process_rules = DatasetService.get_process_rules(dataset_id_str)
document_process_rules = document.dataset_process_rule.to_dict() if document.dataset_process_rule else {}
response = {
"id": document.id,
"position": document.position,
"data_source_type": document.data_source_type,
"data_source_info": document.data_source_info_dict,
"data_source_detail_dict": document.data_source_detail_dict,
"dataset_process_rule_id": document.dataset_process_rule_id,
"dataset_process_rule": dataset_process_rules,
"document_process_rule": document_process_rules,
"name": document.name,
"created_from": document.created_from,
"created_by": document.created_by,
"created_at": int(document.created_at.timestamp()),
"tokens": document.tokens,
"indexing_status": document.indexing_status,
"completed_at": int(document.completed_at.timestamp()) if document.completed_at else None,
"updated_at": int(document.updated_at.timestamp()) if document.updated_at else None,
"indexing_latency": document.indexing_latency,
"error": document.error,
"enabled": document.enabled,
"disabled_at": int(document.disabled_at.timestamp()) if document.disabled_at else None,
"disabled_by": document.disabled_by,
"archived": document.archived,
"segment_count": document.segment_count,
"average_segment_length": document.average_segment_length,
"hit_count": document.hit_count,
"display_status": document.display_status,
"doc_form": document.doc_form,
"doc_language": document.doc_language,
"need_summary": document.need_summary if document.need_summary is not None else False,
}
else:
dataset_process_rules = DatasetService.get_process_rules(dataset_id_str)
document_process_rules = document.dataset_process_rule.to_dict() if document.dataset_process_rule else {}
response = {
response = DocumentDetailResponse.model_validate(
{
"id": document.id,
"doc_type": document.doc_type,
"doc_metadata": document.doc_metadata_details,
}
)
return response.model_dump(mode="json", include={"id", *metadata_fields}, exclude_unset=True), 200
dataset_process_rules = DatasetService.get_process_rules(dataset_id_str)
document_process_rules = document.dataset_process_rule.to_dict() if document.dataset_process_rule else {}
response = DocumentDetailResponse.model_validate(
{
"id": document.id,
"position": document.position,
"data_source_type": document.data_source_type,
@ -936,8 +1036,9 @@ class DocumentApi(DocumentResource):
"doc_language": document.doc_language,
"need_summary": document.need_summary if document.need_summary is not None else False,
}
return response, 200
)
exclude = metadata_fields if metadata == "without" else None
return response.model_dump(mode="json", exclude=exclude, exclude_unset=True), 200
@setup_required
@login_required
@ -983,7 +1084,7 @@ class DocumentDownloadApi(DocumentResource):
def get(self, current_tenant_id: str, current_user: Account, dataset_id: UUID, document_id: UUID) -> dict[str, Any]:
# Reuse the shared permission/tenant checks implemented in DocumentResource.
document = self.get_document(str(dataset_id), str(document_id), current_user, current_tenant_id)
return {"url": DocumentService.get_document_download_url(document)}
return UrlResponse(url=DocumentService.get_document_download_url(document)).model_dump(mode="json")
@console_ns.route("/datasets/<uuid:dataset_id>/documents/download-zip")
@ -992,7 +1093,7 @@ class DocumentBatchDownloadZipApi(DocumentResource):
@console_ns.doc("download_dataset_documents_as_zip")
@console_ns.doc(description="Download selected dataset documents as a single ZIP archive (upload-file only)")
@console_ns.response(200, "ZIP archive generated successfully", console_ns.models[BinaryFileResponse.__name__])
@console_ns.response(200, "ZIP archive downloaded successfully")
@setup_required
@login_required
@account_initialization_required
@ -1026,6 +1127,7 @@ class DocumentBatchDownloadZipApi(DocumentResource):
)
cleanup = stack.pop_all()
response.call_on_close(cleanup.close)
# response-contract:ignore binary ZIP download response
return response
@ -1085,7 +1187,7 @@ class DocumentProcessingApi(DocumentResource):
document.is_paused = False
db.session.commit()
return {"result": "success"}, 200
return SimpleResultResponse(result="success").model_dump(mode="json"), 200
@console_ns.route("/datasets/<uuid:dataset_id>/documents/<uuid:document_id>/metadata")
@ -1144,7 +1246,9 @@ class DocumentMetadataApi(DocumentResource):
document.updated_at = naive_utc_now()
db.session.commit()
return {"result": "success", "message": "Document metadata updated."}, 200
return SimpleResultMessageResponse(result="success", message="Document metadata updated.").model_dump(
mode="json"
), 200
@console_ns.route("/datasets/<uuid:dataset_id>/documents/status/<string:action>/batch")
@ -1186,7 +1290,7 @@ class DocumentStatusApi(DocumentResource):
except NotFound as e:
raise NotFound(str(e))
return {"result": "success"}, 200
return SimpleResultResponse(result="success").model_dump(mode="json"), 200
@console_ns.route("/datasets/<uuid:dataset_id>/documents/<uuid:document_id>/processing/pause")
@ -1355,15 +1459,15 @@ class WebsiteDocumentSyncApi(DocumentResource):
# sync document
DocumentService.sync_website_document(dataset_id_str, document)
return {"result": "success"}, 200
return SimpleResultResponse(result="success").model_dump(mode="json"), 200
@console_ns.route("/datasets/<uuid:dataset_id>/documents/<uuid:document_id>/pipeline-execution-log")
class DocumentPipelineExecutionLogApi(DocumentResource):
@console_ns.response(
200,
"Document pipeline execution log retrieved successfully",
console_ns.models[OpaqueObjectResponse.__name__],
"Pipeline execution log retrieved successfully",
console_ns.models[DocumentPipelineExecutionLogResponse.__name__],
)
@setup_required
@login_required
@ -1386,18 +1490,16 @@ class DocumentPipelineExecutionLogApi(DocumentResource):
.limit(1)
)
if not log:
return {
"datasource_info": None,
"datasource_type": None,
"input_data": None,
"datasource_node_id": None,
}, 200
return {
"datasource_info": json.loads(log.datasource_info),
"datasource_type": log.datasource_type,
"input_data": log.input_data,
"datasource_node_id": log.datasource_node_id,
}, 200
return DocumentPipelineExecutionLogResponse().model_dump(mode="json"), 200
return dump_response(
DocumentPipelineExecutionLogResponse,
{
"datasource_info": json.loads(log.datasource_info),
"datasource_type": log.datasource_type,
"input_data": log.input_data,
"datasource_node_id": log.datasource_node_id,
},
), 200
@console_ns.route("/datasets/<uuid:dataset_id>/documents/generate-summary")
@ -1499,7 +1601,7 @@ class DocumentGenerateSummaryApi(Resource):
dataset_id_str,
)
return {"result": "success"}, 200
return SimpleResultResponse(result="success").model_dump(mode="json"), 200
@console_ns.route("/datasets/<uuid:dataset_id>/documents/<uuid:document_id>/summary-status")
@ -1507,7 +1609,11 @@ class DocumentSummaryStatusApi(DocumentResource):
@console_ns.doc("get_document_summary_status")
@console_ns.doc(description="Get summary index generation status for a document")
@console_ns.doc(params={"dataset_id": "Dataset ID", "document_id": "Document ID"})
@console_ns.response(200, "Summary status retrieved successfully", console_ns.models[OpaqueObjectResponse.__name__])
@console_ns.response(
200,
"Summary status retrieved successfully",
console_ns.models[DocumentSummaryStatusResponse.__name__],
)
@console_ns.response(404, "Document not found")
@setup_required
@login_required
@ -1525,6 +1631,7 @@ class DocumentSummaryStatusApi(DocumentResource):
- generating: Number of summaries being generated
- error: Number of summaries with errors
- not_started: Number of segments without summary records
- timeout: Number of summaries that timed out
- summaries: List of summary records with status and content preview
"""
dataset_id_str = str(dataset_id)
@ -1549,4 +1656,4 @@ class DocumentSummaryStatusApi(DocumentResource):
dataset_id=dataset_id_str,
)
return result, 200
return dump_response(DocumentSummaryStatusResponse, result), 200

View File

@ -374,7 +374,7 @@ class DatasetDocumentSegmentApi(Resource):
SegmentService.update_segments_status(segment_ids, action, dataset, document)
except Exception as e:
raise InvalidActionError(str(e))
return dump_response(SimpleResultResponse, {"result": "success"}), 200
return SimpleResultResponse(result="success").model_dump(mode="json"), 200
@console_ns.route("/datasets/<uuid:dataset_id>/documents/<uuid:document_id>/segment")

View File

@ -1,19 +1,15 @@
from datetime import datetime
from typing import Any
from uuid import UUID
from flask import request
from flask_restx import Resource, fields, marshal
from pydantic import BaseModel, Field, RootModel
from flask_restx import Resource
from pydantic import AliasChoices, BaseModel, Field, field_validator
from werkzeug.exceptions import Forbidden, InternalServerError, NotFound
import services
from controllers.common.fields import UsageCountResponse
from controllers.common.schema import (
get_or_create_model,
query_params_from_model,
register_response_schema_models,
register_schema_models,
)
from controllers.common.schema import query_params_from_model, register_response_schema_models, register_schema_models
from controllers.console import console_ns
from controllers.console.datasets.error import DatasetNameDuplicateError
from controllers.console.wraps import (
@ -28,19 +24,8 @@ from controllers.console.wraps import (
)
from extensions.ext_database import db
from fields.base import ResponseModel
from fields.dataset_fields import (
dataset_detail_fields,
dataset_retrieval_model_fields,
doc_metadata_fields,
external_knowledge_info_fields,
external_retrieval_model_fields,
icon_info_fields,
keyword_setting_fields,
reranking_model_fields,
tag_fields,
vector_setting_fields,
weighted_score_fields,
)
from fields.dataset_fields import DatasetDetailResponse
from libs.helper import dump_response
from libs.login import login_required
from models import Account
from services.dataset_service import DatasetService
@ -49,50 +34,10 @@ from services.external_knowledge_service import ExternalDatasetService
from services.hit_testing_service import HitTestingService
from services.knowledge_service import BedrockRetrievalSetting, ExternalDatasetTestService
register_response_schema_models(console_ns, UsageCountResponse)
def _build_dataset_detail_model():
keyword_setting_model = get_or_create_model("DatasetKeywordSetting", keyword_setting_fields)
vector_setting_model = get_or_create_model("DatasetVectorSetting", vector_setting_fields)
weighted_score_fields_copy = weighted_score_fields.copy()
weighted_score_fields_copy["keyword_setting"] = fields.Nested(keyword_setting_model)
weighted_score_fields_copy["vector_setting"] = fields.Nested(vector_setting_model)
weighted_score_model = get_or_create_model("DatasetWeightedScore", weighted_score_fields_copy)
reranking_model = get_or_create_model("DatasetRerankingModel", reranking_model_fields)
dataset_retrieval_model_fields_copy = dataset_retrieval_model_fields.copy()
dataset_retrieval_model_fields_copy["reranking_model"] = fields.Nested(reranking_model)
dataset_retrieval_model_fields_copy["weights"] = fields.Nested(weighted_score_model, allow_null=True)
dataset_retrieval_model = get_or_create_model("DatasetRetrievalModel", dataset_retrieval_model_fields_copy)
tag_model = get_or_create_model("Tag", tag_fields)
doc_metadata_model = get_or_create_model("DatasetDocMetadata", doc_metadata_fields)
external_knowledge_info_model = get_or_create_model("ExternalKnowledgeInfo", external_knowledge_info_fields)
external_retrieval_model = get_or_create_model("ExternalRetrievalModel", external_retrieval_model_fields)
icon_info_model = get_or_create_model("DatasetIconInfo", icon_info_fields)
dataset_detail_fields_copy = dataset_detail_fields.copy()
dataset_detail_fields_copy["retrieval_model_dict"] = fields.Nested(dataset_retrieval_model)
dataset_detail_fields_copy["tags"] = fields.List(fields.Nested(tag_model))
dataset_detail_fields_copy["external_knowledge_info"] = fields.Nested(external_knowledge_info_model)
dataset_detail_fields_copy["external_retrieval_model"] = fields.Nested(external_retrieval_model, allow_null=True)
dataset_detail_fields_copy["doc_metadata"] = fields.List(fields.Nested(doc_metadata_model))
dataset_detail_fields_copy["icon_info"] = fields.Nested(icon_info_model)
return get_or_create_model("DatasetDetail", dataset_detail_fields_copy)
try:
dataset_detail_model = console_ns.models["DatasetDetail"]
except KeyError:
dataset_detail_model = _build_dataset_detail_model()
class ExternalKnowledgeApiPayload(BaseModel):
name: str = Field(..., min_length=1, max_length=40)
settings: dict[str, object]
settings: dict[str, Any]
class ExternalDatasetCreatePayload(BaseModel):
@ -100,15 +45,13 @@ class ExternalDatasetCreatePayload(BaseModel):
external_knowledge_id: str
name: str = Field(..., min_length=1, max_length=100)
description: str | None = Field(None, max_length=400)
external_retrieval_model: dict[str, object] | None = Field(default=None)
external_retrieval_model: dict[str, Any] | None = None
class ExternalHitTestingPayload(BaseModel):
query: str
external_retrieval_model: dict[str, object] | None = Field(default=None)
metadata_filtering_conditions: dict[str, object] | None = Field(
default=None,
)
external_retrieval_model: dict[str, Any] | None = None
metadata_filtering_conditions: dict[str, Any] | None = None
class BedrockRetrievalPayload(BaseModel):
@ -123,7 +66,7 @@ class ExternalApiTemplateListQuery(BaseModel):
keyword: str | None = Field(default=None, description="Search keyword")
class ExternalKnowledgeDatasetBindingResponse(ResponseModel):
class ExternalKnowledgeApiBindingResponse(ResponseModel):
id: str
name: str
@ -133,22 +76,52 @@ class ExternalKnowledgeApiResponse(ResponseModel):
tenant_id: str
name: str
description: str
settings: dict[str, Any] | None = Field(default=None)
dataset_bindings: list[ExternalKnowledgeDatasetBindingResponse] = Field(default_factory=list)
settings: dict[str, Any] | None = Field(validation_alias=AliasChoices("settings_dict", "settings"))
dataset_bindings: list[ExternalKnowledgeApiBindingResponse]
created_by: str
created_at: str
@field_validator("created_at", mode="before")
@classmethod
def _normalize_created_at(cls, value: datetime | str) -> str:
if isinstance(value, datetime):
return value.isoformat()
return value
class ExternalKnowledgeApiListResponse(ResponseModel):
data: list[ExternalKnowledgeApiResponse]
has_more: bool
limit: int
total: int
total: int | None
page: int
class ExternalRetrievalTestResponse(RootModel[dict[str, Any] | list[dict[str, Any]]]):
root: dict[str, Any] | list[dict[str, Any]]
class ExternalHitTestingQueryResponse(ResponseModel):
content: str
class ExternalHitTestingRecordResponse(ResponseModel):
content: str | None = None
title: str | None = None
score: float | None = None
metadata: dict[str, Any] | None = None
class ExternalHitTestingResponse(ResponseModel):
query: ExternalHitTestingQueryResponse
records: list[ExternalHitTestingRecordResponse]
class BedrockRetrievalRecordResponse(ResponseModel):
metadata: dict[str, Any] | None = None
score: float
title: str | None = None
content: str | None = None
class BedrockRetrievalResponse(ResponseModel):
records: list[BedrockRetrievalRecordResponse]
register_schema_models(
@ -161,9 +134,16 @@ register_schema_models(
)
register_response_schema_models(
console_ns,
UsageCountResponse,
DatasetDetailResponse,
ExternalKnowledgeApiBindingResponse,
ExternalKnowledgeApiResponse,
ExternalKnowledgeApiListResponse,
ExternalRetrievalTestResponse,
ExternalHitTestingQueryResponse,
ExternalHitTestingRecordResponse,
ExternalHitTestingResponse,
BedrockRetrievalRecordResponse,
BedrockRetrievalResponse,
)
@ -187,24 +167,26 @@ class ExternalApiTemplateListApi(Resource):
external_knowledge_apis, total = ExternalDatasetService.get_external_knowledge_apis(
query.page, query.limit, current_tenant_id, query.keyword
)
response = {
"data": [item.to_dict() for item in external_knowledge_apis],
"has_more": len(external_knowledge_apis) == query.limit,
"limit": query.limit,
"total": total,
"page": query.page,
}
return response, 200
return ExternalKnowledgeApiListResponse(
data=[ExternalKnowledgeApiResponse.model_validate(item) for item in external_knowledge_apis],
has_more=len(external_knowledge_apis) == query.limit,
limit=query.limit,
total=total,
page=query.page,
).model_dump(mode="json"), 200
@setup_required
@login_required
@account_initialization_required
@console_ns.doc("create_external_api_template")
@console_ns.doc(description="Create external knowledge API template")
@console_ns.expect(console_ns.models[ExternalKnowledgeApiPayload.__name__])
@console_ns.response(
201,
"External API template created successfully",
console_ns.models[ExternalKnowledgeApiResponse.__name__],
)
@console_ns.response(403, "Permission denied")
@setup_required
@login_required
@account_initialization_required
@with_current_user
@with_current_tenant_id
def post(self, current_tenant_id: str, current_user: Account):
@ -223,7 +205,7 @@ class ExternalApiTemplateListApi(Resource):
except services.errors.dataset.DatasetNameDuplicateError:
raise DatasetNameDuplicateError()
return external_knowledge_api.to_dict(), 201
return dump_response(ExternalKnowledgeApiResponse, external_knowledge_api), 201
@console_ns.route("/datasets/external-knowledge-api/<uuid:external_knowledge_api_id>")
@ -249,17 +231,21 @@ class ExternalApiTemplateApi(Resource):
if external_knowledge_api is None:
raise NotFound("API template not found.")
return external_knowledge_api.to_dict(), 200
return dump_response(ExternalKnowledgeApiResponse, external_knowledge_api), 200
@console_ns.doc("update_external_api_template")
@console_ns.doc(description="Update external knowledge API template")
@console_ns.doc(params={"external_knowledge_api_id": "External knowledge API ID"})
@console_ns.expect(console_ns.models[ExternalKnowledgeApiPayload.__name__])
@console_ns.response(
200,
"External API template updated successfully",
console_ns.models[ExternalKnowledgeApiResponse.__name__],
)
@console_ns.response(404, "Template not found")
@setup_required
@login_required
@account_initialization_required
@console_ns.expect(console_ns.models[ExternalKnowledgeApiPayload.__name__])
@with_current_user
@with_current_tenant_id
def patch(self, current_tenant_id: str, current_user: Account, external_knowledge_api_id: UUID):
@ -275,7 +261,7 @@ class ExternalApiTemplateApi(Resource):
args=payload.model_dump(),
)
return external_knowledge_api.to_dict(), 200
return dump_response(ExternalKnowledgeApiResponse, external_knowledge_api), 200
@setup_required
@login_required
@ -309,7 +295,7 @@ class ExternalApiUseCheckApi(Resource):
external_knowledge_api_is_using, count = ExternalDatasetService.external_knowledge_api_use_check(
external_knowledge_api_id_str, current_tenant_id
)
return {"is_using": external_knowledge_api_is_using, "count": count}, 200
return UsageCountResponse(is_using=external_knowledge_api_is_using, count=count).model_dump(mode="json"), 200
@console_ns.route("/datasets/external")
@ -317,7 +303,9 @@ class ExternalDatasetCreateApi(Resource):
@console_ns.doc("create_external_dataset")
@console_ns.doc(description="Create external knowledge dataset")
@console_ns.expect(console_ns.models[ExternalDatasetCreatePayload.__name__])
@console_ns.response(201, "External dataset created successfully", dataset_detail_model)
@console_ns.response(
201, "External dataset created successfully", console_ns.models[DatasetDetailResponse.__name__]
)
@console_ns.response(400, "Invalid parameters")
@console_ns.response(403, "Permission denied")
@setup_required
@ -345,16 +333,15 @@ class ExternalDatasetCreateApi(Resource):
except services.errors.dataset.DatasetNameDuplicateError:
raise DatasetNameDuplicateError()
item = marshal(dataset, dataset_detail_fields)
dataset_id_str = item["id"]
dataset_id_str = str(dataset.id)
permission_keys_map = enterprise_rbac_service.RBACService.DatasetPermissions.batch_get(
str(current_tenant_id),
current_user.id,
[dataset_id_str],
)
item["permission_keys"] = permission_keys_map.get(dataset_id_str, [])
return item, 201
data = DatasetDetailResponse.model_validate(dataset).model_dump(mode="json")
data["permission_keys"] = permission_keys_map.get(dataset_id_str, [])
return data, 201
@console_ns.route("/datasets/<uuid:dataset_id>/external-hit-testing")
@ -366,7 +353,7 @@ class ExternalKnowledgeHitTestingApi(Resource):
@console_ns.response(
200,
"External hit testing completed successfully",
console_ns.models[ExternalRetrievalTestResponse.__name__],
console_ns.models[ExternalHitTestingResponse.__name__],
)
@console_ns.response(404, "Dataset not found")
@console_ns.response(400, "Invalid parameters")
@ -399,7 +386,7 @@ class ExternalKnowledgeHitTestingApi(Resource):
metadata_filtering_conditions=payload.metadata_filtering_conditions,
)
return response
return dump_response(ExternalHitTestingResponse, response)
except Exception as e:
raise InternalServerError(str(e))
@ -410,11 +397,7 @@ class BedrockRetrievalApi(Resource):
@console_ns.doc("bedrock_retrieval_test")
@console_ns.doc(description="Bedrock retrieval test (internal use only)")
@console_ns.expect(console_ns.models[BedrockRetrievalPayload.__name__])
@console_ns.response(
200,
"Bedrock retrieval test completed",
console_ns.models[ExternalRetrievalTestResponse.__name__],
)
@console_ns.response(200, "Bedrock retrieval test completed", console_ns.models[BedrockRetrievalResponse.__name__])
def post(self):
payload = BedrockRetrievalPayload.model_validate(console_ns.payload or {})
@ -422,4 +405,4 @@ class BedrockRetrievalApi(Resource):
result = ExternalDatasetTestService.knowledge_retrieval(
payload.retrieval_setting, payload.query, payload.knowledge_id
)
return result, 200
return dump_response(BedrockRetrievalResponse, result), 200

View File

@ -1,28 +1,24 @@
import logging
from typing import Any, Literal, cast
from typing import Literal
from flask import request
from flask_restx import Resource, fields, marshal, marshal_with
from flask_restx import Resource
from pydantic import BaseModel, Field
from sqlalchemy import select
from werkzeug.exceptions import Forbidden, InternalServerError, NotFound
import services
from controllers.common.fields import (
AudioBinaryResponse,
AudioTranscriptResponse,
GeneratedAppResponse,
SimpleResultResponse,
)
from controllers.common.fields import AudioBinaryResponse, AudioTranscriptResponse, SimpleResultResponse
from controllers.common.fields import Parameters as ParametersResponse
from controllers.common.fields import Site as SiteResponse
from controllers.common.schema import (
get_or_create_model,
query_params_from_model,
query_params_from_request,
register_response_schema_models,
register_schema_models,
)
from controllers.console import console_ns
from controllers.console.app.app import AppDetailWithSite
from controllers.console.app.error import (
AppUnavailableError,
AudioTooLargeError,
@ -36,6 +32,7 @@ from controllers.console.app.error import (
ProviderQuotaExceededError,
UnsupportedAudioTypeError,
)
from controllers.console.app.workflow import WorkflowResponse
from controllers.console.app.wraps import get_app_model_with_trial
from controllers.console.explore.error import (
AppSuggestedQuestionsAfterAnswerDisabledError,
@ -56,26 +53,13 @@ from core.errors.error import (
)
from extensions.ext_database import db
from extensions.ext_redis import redis_client
from fields.app_fields import (
app_detail_fields_with_site,
deleted_tool_fields,
model_config_fields,
site_fields,
tag_fields,
)
from fields.dataset_fields import dataset_fields
from fields.member_fields import simple_account_fields
from fields.base import ResponseModel
from fields.dataset_fields import DatasetDetailResponse
from fields.message_fields import SuggestedQuestionsResponse
from fields.workflow_fields import (
conversation_variable_fields,
pipeline_variable_fields,
workflow_fields,
workflow_partial_fields,
)
from graphon.graph_engine.manager import GraphEngineManager
from graphon.model_runtime.errors.invoke import InvokeError
from libs import helper
from libs.helper import uuid_value
from libs.helper import dump_response, uuid_value
from models import Account
from models.account import TenantStatus
from models.model import AppMode, Site
@ -102,57 +86,42 @@ from services.recommended_app_service import RecommendedAppService
logger = logging.getLogger(__name__)
model_config_model = get_or_create_model("TrialAppModelConfig", model_config_fields)
workflow_partial_model = get_or_create_model("TrialWorkflowPartial", workflow_partial_fields)
deleted_tool_model = get_or_create_model("TrialDeletedTool", deleted_tool_fields)
tag_model = get_or_create_model("TrialTag", tag_fields)
site_model = get_or_create_model("TrialSite", site_fields)
class TrialDatasetListItemResponse(DatasetDetailResponse):
pass
app_detail_fields_with_site_copy = app_detail_fields_with_site.copy()
app_detail_fields_with_site_copy["model_config"] = fields.Nested(
model_config_model, attribute="app_model_config", allow_null=True
)
app_detail_fields_with_site_copy["workflow"] = fields.Nested(workflow_partial_model, allow_null=True)
app_detail_fields_with_site_copy["deleted_tools"] = fields.List(fields.Nested(deleted_tool_model))
app_detail_fields_with_site_copy["tags"] = fields.List(fields.Nested(tag_model))
app_detail_fields_with_site_copy["site"] = fields.Nested(site_model)
app_detail_with_site_model = get_or_create_model("TrialAppDetailWithSite", app_detail_fields_with_site_copy)
simple_account_model = get_or_create_model("TrialSimpleAccount", simple_account_fields)
conversation_variable_model = get_or_create_model("TrialConversationVariable", conversation_variable_fields)
pipeline_variable_model = get_or_create_model("TrialPipelineVariable", pipeline_variable_fields)
class TrialDatasetListResponse(ResponseModel):
data: list[TrialDatasetListItemResponse]
has_more: bool
limit: int
total: int
page: int
workflow_fields_copy = workflow_fields.copy()
workflow_fields_copy["created_by"] = fields.Nested(simple_account_model, attribute="created_by_account")
workflow_fields_copy["updated_by"] = fields.Nested(
simple_account_model, attribute="updated_by_account", allow_null=True
)
workflow_fields_copy["conversation_variables"] = fields.List(fields.Nested(conversation_variable_model))
workflow_fields_copy["rag_pipeline_variables"] = fields.List(fields.Nested(pipeline_variable_model))
workflow_model = get_or_create_model("TrialWorkflow", workflow_fields_copy)
dataset_model = get_or_create_model("TrialDataset", dataset_fields)
dataset_list_model = get_or_create_model(
"TrialDatasetList",
{
"data": fields.List(fields.Nested(dataset_model)),
"has_more": fields.Boolean,
"limit": fields.Integer,
"total": fields.Integer,
"page": fields.Integer,
},
register_response_schema_models(
console_ns,
ParametersResponse,
AppDetailWithSite,
AudioBinaryResponse,
AudioTranscriptResponse,
SimpleResultResponse,
SiteResponse,
SuggestedQuestionsResponse,
TrialDatasetListItemResponse,
TrialDatasetListResponse,
WorkflowResponse,
)
class WorkflowRunRequest(BaseModel):
inputs: dict
files: list | None = Field(default=None)
files: list | None = None
class ChatRequest(BaseModel):
inputs: dict
query: str
files: list | None = Field(default=None)
files: list | None = None
conversation_id: str | None = None
parent_message_id: str | None = None
retriever_from: str = "explore_app"
@ -168,7 +137,7 @@ class TextToSpeechRequest(BaseModel):
class CompletionRequest(BaseModel):
inputs: dict
query: str = ""
files: list | None = Field(default=None)
files: list | None = None
response_mode: Literal["blocking", "streaming"] | None = None
retriever_from: str = "explore_app"
@ -187,23 +156,13 @@ register_schema_models(
CompletionRequest,
TrialDatasetListQuery,
)
register_response_schema_models(
console_ns,
ParametersResponse,
AudioBinaryResponse,
AudioTranscriptResponse,
GeneratedAppResponse,
SimpleResultResponse,
SiteResponse,
SuggestedQuestionsResponse,
)
class TrialAppWorkflowRunApi(TrialAppResource):
@trial_feature_enable
@console_ns.expect(console_ns.models[WorkflowRunRequest.__name__])
@console_ns.response(200, "Success", console_ns.models[GeneratedAppResponse.__name__])
@with_current_user
@console_ns.expect(console_ns.models[WorkflowRunRequest.__name__])
@console_ns.response(200, "Success")
def post(self, current_user: Account, trial_app):
"""
Run workflow
@ -224,6 +183,7 @@ class TrialAppWorkflowRunApi(TrialAppResource):
app_model=app_model, user=current_user, args=args, invoke_from=InvokeFrom.EXPLORE, streaming=True
)
RecommendedAppService.add_trial_app_record(db.session, app_id, user_id)
# response-contract:ignore compact_generate_response
return helper.compact_generate_response(response)
except ProviderTokenNotInitError as ex:
raise ProviderNotInitializeError(ex.description)
@ -263,12 +223,12 @@ class TrialAppWorkflowTaskStopApi(TrialAppResource):
# New graph engine command channel mechanism
GraphEngineManager(redis_client).send_stop_command(task_id)
return {"result": "success"}
return SimpleResultResponse(result="success").model_dump(mode="json")
class TrialChatApi(TrialAppResource):
@console_ns.expect(console_ns.models[ChatRequest.__name__])
@console_ns.response(200, "Success", console_ns.models[GeneratedAppResponse.__name__])
@console_ns.response(200, "Success")
@trial_feature_enable
@with_current_user
def post(self, current_user: Account, trial_app):
@ -297,6 +257,7 @@ class TrialChatApi(TrialAppResource):
app_model=app_model, user=current_user, args=args, invoke_from=InvokeFrom.EXPLORE, streaming=True
)
RecommendedAppService.add_trial_app_record(db.session, app_id, user_id)
# response-contract:ignore compact_generate_response
return helper.compact_generate_response(response)
except services.errors.conversation.ConversationNotExistsError:
raise NotFound("Conversation Not Exists.")
@ -355,7 +316,7 @@ class TrialMessageSuggestedQuestionApi(TrialAppResource):
logger.exception("internal server error.")
raise InternalServerError()
return {"data": questions}
return dump_response(SuggestedQuestionsResponse, {"data": questions})
class TrialChatAudioApi(TrialAppResource):
@ -374,7 +335,7 @@ class TrialChatAudioApi(TrialAppResource):
response = AudioService.transcript_asr(app_model=app_model, file=file, end_user=None)
RecommendedAppService.add_trial_app_record(db.session, app_id, user_id)
return response
return dump_response(AudioTranscriptResponse, response)
except services.errors.app_model_config.AppModelConfigBrokenError:
logger.exception("App model config broken.")
raise AppUnavailableError()
@ -427,6 +388,7 @@ class TrialChatTextApi(TrialAppResource):
message_id=message_id,
)
RecommendedAppService.add_trial_app_record(db.session, app_id, user_id)
# response-contract:ignore binary response
return response
except services.errors.app_model_config.AppModelConfigBrokenError:
logger.exception("App model config broken.")
@ -456,7 +418,7 @@ class TrialChatTextApi(TrialAppResource):
class TrialCompletionApi(TrialAppResource):
@console_ns.expect(console_ns.models[CompletionRequest.__name__])
@console_ns.response(200, "Success", console_ns.models[GeneratedAppResponse.__name__])
@console_ns.response(200, "Success")
@trial_feature_enable
@with_current_user
def post(self, current_user: Account, trial_app):
@ -480,6 +442,7 @@ class TrialCompletionApi(TrialAppResource):
)
RecommendedAppService.add_trial_app_record(db.session, app_id, user_id)
# response-contract:ignore compact_generate_response
return helper.compact_generate_response(response)
except services.errors.conversation.ConversationNotExistsError:
raise NotFound("Conversation Not Exists.")
@ -557,50 +520,49 @@ class TrialAppParameterApi(Resource):
class AppApi(Resource):
@console_ns.response(200, "Success", app_detail_with_site_model)
@get_app_model_with_trial(None)
@marshal_with(app_detail_with_site_model)
@console_ns.response(200, "App detail retrieved successfully", console_ns.models[AppDetailWithSite.__name__])
def get(self, app_model):
"""Get app detail"""
app_service = AppService()
app_model = app_service.get_app(app_model)
return app_model
return dump_response(AppDetailWithSite, app_model)
class AppWorkflowApi(Resource):
@console_ns.response(200, "Success", workflow_model)
@get_app_model_with_trial(None)
@marshal_with(workflow_model)
@console_ns.response(200, "Workflow detail retrieved successfully", console_ns.models[WorkflowResponse.__name__])
def get(self, app_model):
"""Get workflow detail"""
if not app_model.workflow_id:
raise AppUnavailableError()
workflow = db.session.get(Workflow, app_model.workflow_id)
return workflow
return dump_response(WorkflowResponse, workflow)
class DatasetListApi(Resource):
@console_ns.doc(params=query_params_from_model(TrialDatasetListQuery))
@console_ns.response(200, "Success", dataset_list_model)
@console_ns.response(200, "Success", console_ns.models[TrialDatasetListResponse.__name__])
@get_app_model_with_trial(None)
def get(self, app_model):
page = request.args.get("page", default=1, type=int)
limit = request.args.get("limit", default=20, type=int)
ids = request.args.getlist("ids")
query = query_params_from_request(
TrialDatasetListQuery,
list_fields=("ids",),
use_defaults_for_malformed_ints=True,
)
tenant_id = app_model.tenant_id
if ids:
datasets, total = DatasetService.get_datasets_by_ids(ids, tenant_id)
if query.ids:
datasets, total = DatasetService.get_datasets_by_ids(query.ids, tenant_id)
else:
raise NeedAddIdsError()
data = cast(list[dict[str, Any]], marshal(datasets, dataset_fields))
response = {"data": data, "has_more": len(datasets) == limit, "limit": limit, "total": total, "page": page}
return response
return TrialDatasetListResponse(
data=datasets, has_more=len(datasets) == query.limit, limit=query.limit, total=total or 0, page=query.page
).model_dump(mode="json")
console_ns.add_resource(TrialChatApi, "/trial-apps/<uuid:app_id>/chat-messages", endpoint="trial_app_chat_completion")

View File

@ -837,7 +837,7 @@ class DocumentStatusApi(DatasetApiResource):
except ValueError as e:
raise InvalidActionError(str(e))
return dump_response(SimpleResultResponse, {"result": "success"}), 200
return SimpleResultResponse(result="success").model_dump(mode="json"), 200
@service_api_ns.route("/datasets/tags")
@ -903,11 +903,8 @@ class DatasetTagsApi(DatasetApiResource):
payload = TagCreatePayload.model_validate(service_api_ns.payload or {})
tag = TagService.save_tags(SaveTagPayload(name=payload.name, type=TagType.KNOWLEDGE), db.session)
response = dump_response(
KnowledgeTagResponse,
{"id": tag.id, "name": tag.name, "type": tag.type, "binding_count": 0},
)
return response, 200
response = KnowledgeTagResponse(id=tag.id, name=tag.name, type=tag.type, binding_count="0")
return response.model_dump(mode="json"), 200
@service_api_ns.doc(
summary="Update Knowledge Tag",
@ -943,11 +940,8 @@ class DatasetTagsApi(DatasetApiResource):
binding_count = TagService.get_tag_binding_count(tag_id, db.session)
response = dump_response(
KnowledgeTagResponse,
{"id": tag.id, "name": tag.name, "type": tag.type, "binding_count": binding_count},
)
return response, 200
response = KnowledgeTagResponse(id=tag.id, name=tag.name, type=tag.type, binding_count=str(binding_count))
return response.model_dump(mode="json"), 200
@service_api_ns.doc(
summary="Delete Knowledge Tag",
@ -1078,5 +1072,8 @@ class DatasetTagsBindingStatusApi(DatasetApiResource):
tags = TagService.get_tags_by_target_id(
"knowledge", current_user.current_tenant_id, str(dataset_id), db.session
)
tags_list = [{"id": tag.id, "name": tag.name} for tag in tags]
return dump_response(DatasetBoundTagListResponse, {"data": tags_list, "total": len(tags)}), 200
response = DatasetBoundTagListResponse(
data=[DatasetBoundTagResponse(id=tag.id, name=tag.name) for tag in tags],
total=len(tags),
)
return response.model_dump(mode="json"), 200

View File

@ -6,14 +6,22 @@ deprecated in generated API docs so clients migrate toward the canonical paths.
"""
import json
from collections.abc import Mapping
from contextlib import ExitStack
from copy import deepcopy
from typing import Annotated, Any, Literal, Self, override
from uuid import UUID
from flask import request, send_file
from pydantic import BaseModel, Field, GetJsonSchemaHandler, WithJsonSchema, field_validator, model_validator
from pydantic import (
BaseModel,
Field,
GetJsonSchemaHandler,
ValidationError,
WithJsonSchema,
field_validator,
model_validator,
)
from pydantic.json_schema import SkipJsonSchema
from sqlalchemy import desc, func, select
from werkzeug.exceptions import Forbidden, NotFound
@ -26,9 +34,10 @@ from controllers.common.errors import (
TooManyFilesError,
UnsupportedFileTypeError,
)
from controllers.common.fields import BinaryFileResponse, UrlResponse
from controllers.common.fields import UrlResponse
from controllers.common.schema import (
query_params_from_model,
query_params_from_request,
register_enum_models,
register_response_schema_models,
register_schema_models,
@ -56,6 +65,7 @@ from fields.document_fields import (
DocumentMetadataResponse,
DocumentResponse,
DocumentStatusListResponse,
normalize_enum,
)
from libs.helper import dump_response
from libs.login import current_user
@ -280,38 +290,44 @@ class DocumentAndBatchResponse(ResponseModel):
batch: str
# Use SkipJsonSchema to support 3 metadata modes
class DocumentDetailResponse(ResponseModel):
id: str
position: int | None = None
data_source_type: str | None = None
data_source_info: dict[str, Any] | None = Field(default=None)
position: int | SkipJsonSchema[None] = None
data_source_type: str | SkipJsonSchema[None] = None
data_source_info: dict[str, Any] | SkipJsonSchema[None] = None
dataset_process_rule_id: str | None = None
dataset_process_rule: dict[str, Any] | None = Field(default=None)
document_process_rule: dict[str, Any] | None = Field(default=None)
name: str | None = None
created_from: str | None = None
created_by: str | None = None
created_at: int | None = None
dataset_process_rule: dict[str, Any] | SkipJsonSchema[None] = None
document_process_rule: dict[str, Any] | SkipJsonSchema[None] = None
name: str | SkipJsonSchema[None] = None
created_from: str | SkipJsonSchema[None] = None
created_by: str | SkipJsonSchema[None] = None
created_at: int | SkipJsonSchema[None] = None
tokens: int | None = None
indexing_status: str | None = None
indexing_status: str | SkipJsonSchema[None] = None
completed_at: int | None = None
updated_at: int | None = None
indexing_latency: float | None = None
error: str | None = None
enabled: bool | None = None
enabled: bool | SkipJsonSchema[None] = None
disabled_at: int | None = None
disabled_by: str | None = None
archived: bool | None = None
archived: bool | SkipJsonSchema[None] = None
doc_type: str | None = None
doc_metadata: list[DocumentMetadataResponse] | None = None
segment_count: int | None = None
average_segment_length: float | None = None
hit_count: int | None = None
doc_metadata: list[DocumentMetadataResponse] | dict[str, Any] | None = None
segment_count: int | SkipJsonSchema[None] = None
average_segment_length: int | float | SkipJsonSchema[None] = None
hit_count: int | SkipJsonSchema[None] = None
display_status: str | None = None
doc_form: str | None = None
doc_form: str | SkipJsonSchema[None] = None
doc_language: str | None = None
summary_index_status: str | None = None
need_summary: bool | None = None
need_summary: bool | SkipJsonSchema[None] = None
@field_validator("data_source_type", "indexing_status", "display_status", "doc_form", mode="before")
@classmethod
def _normalize_enum_fields(cls, value: Any) -> Any:
return normalize_enum(value)
register_enum_models(service_api_ns, RetrievalMethod)
@ -331,7 +347,6 @@ register_schema_models(
)
register_response_schema_models(
service_api_ns,
BinaryFileResponse,
UrlResponse,
DocumentResponse,
DocumentAndBatchResponse,
@ -341,13 +356,13 @@ register_response_schema_models(
)
def _create_document_by_text(tenant_id: str, dataset_id: UUID) -> tuple[Mapping[str, object], int]:
def _create_document_by_text(tenant_id: str, dataset_id: UUID) -> tuple[Document, str]:
"""Create a document from text for both canonical and legacy routes."""
payload = DocumentTextCreatePayload.model_validate(service_api_ns.payload or {})
args = payload.model_dump(exclude_none=True)
dataset_id_str = str(dataset_id)
tenant_id_str = str(tenant_id)
tenant_id_str = tenant_id
dataset = db.session.scalar(
select(Dataset).where(Dataset.tenant_id == tenant_id_str, Dataset.id == dataset_id_str).limit(1)
)
@ -405,10 +420,10 @@ def _create_document_by_text(tenant_id: str, dataset_id: UUID) -> tuple[Mapping[
raise ProviderNotInitializeError(ex.description)
document = documents[0]
return dump_response(DocumentAndBatchResponse, {"document": document, "batch": batch}), 200
return document, batch
def _update_document_by_text(tenant_id: str, dataset_id: UUID, document_id: UUID) -> tuple[Mapping[str, object], int]:
def _update_document_by_text(tenant_id: str, dataset_id: UUID, document_id: UUID) -> tuple[Document, str]:
"""Update a document from text for both canonical and legacy routes."""
payload = DocumentTextUpdate.model_validate(service_api_ns.payload or {})
dataset = db.session.scalar(
@ -464,7 +479,7 @@ def _update_document_by_text(tenant_id: str, dataset_id: UUID, document_id: UUID
raise ProviderNotInitializeError(ex.description)
document = documents[0]
return dump_response(DocumentAndBatchResponse, {"document": document, "batch": batch}), 200
return document, batch
@service_api_ns.route("/datasets/<uuid:dataset_id>/document/create-by-text")
@ -508,7 +523,8 @@ class DocumentAddByTextApi(DatasetApiResource):
@cloud_edition_billing_rate_limit_check("knowledge", "dataset")
def post(self, tenant_id: str, dataset_id: UUID):
"""Create document by text."""
return _create_document_by_text(tenant_id=tenant_id, dataset_id=dataset_id)
document, batch = _create_document_by_text(tenant_id=tenant_id, dataset_id=dataset_id)
return dump_response(DocumentAndBatchResponse, {"document": document, "batch": batch}), 200
@service_api_ns.route("/datasets/<uuid:dataset_id>/document/create_by_text")
@ -540,7 +556,8 @@ class DeprecatedDocumentAddByTextApi(DatasetApiResource):
@cloud_edition_billing_rate_limit_check("knowledge", "dataset")
def post(self, tenant_id: str, dataset_id: UUID):
"""Create document by text through the deprecated underscore alias."""
return _create_document_by_text(tenant_id=tenant_id, dataset_id=dataset_id)
document, batch = _create_document_by_text(tenant_id=tenant_id, dataset_id=dataset_id)
return dump_response(DocumentAndBatchResponse, {"document": document, "batch": batch}), 200
@service_api_ns.route("/datasets/<uuid:dataset_id>/documents/<uuid:document_id>/update-by-text")
@ -584,7 +601,8 @@ class DocumentUpdateByTextApi(DatasetApiResource):
@cloud_edition_billing_rate_limit_check("knowledge", "dataset")
def post(self, tenant_id: str, dataset_id: UUID, document_id: UUID):
"""Update document by text."""
return _update_document_by_text(tenant_id=tenant_id, dataset_id=dataset_id, document_id=document_id)
document, batch = _update_document_by_text(tenant_id=tenant_id, dataset_id=dataset_id, document_id=document_id)
return dump_response(DocumentAndBatchResponse, {"document": document, "batch": batch}), 200
@service_api_ns.route("/datasets/<uuid:dataset_id>/documents/<uuid:document_id>/update_by_text")
@ -615,7 +633,8 @@ class DeprecatedDocumentUpdateByTextApi(DatasetApiResource):
@cloud_edition_billing_rate_limit_check("knowledge", "dataset")
def post(self, tenant_id: str, dataset_id: UUID, document_id: UUID):
"""Update document by text through the deprecated underscore alias."""
return _update_document_by_text(tenant_id=tenant_id, dataset_id=dataset_id, document_id=document_id)
document, batch = _update_document_by_text(tenant_id=tenant_id, dataset_id=dataset_id, document_id=document_id)
return dump_response(DocumentAndBatchResponse, {"document": document, "batch": batch}), 200
@service_api_ns.route(
@ -763,10 +782,10 @@ class DocumentAddByFileApi(DatasetApiResource):
return dump_response(DocumentAndBatchResponse, {"document": document, "batch": batch}), 200
def _update_document_by_file(tenant_id: str, dataset_id: UUID, document_id: UUID) -> tuple[Mapping[str, object], int]:
def _update_document_by_file(tenant_id: str, dataset_id: UUID, document_id: UUID) -> tuple[Document, str]:
"""Update a document from an uploaded file for canonical and deprecated routes."""
dataset_id_str = str(dataset_id)
tenant_id_str = str(tenant_id)
tenant_id_str = tenant_id
dataset = db.session.scalar(
select(Dataset).where(Dataset.tenant_id == tenant_id_str, Dataset.id == dataset_id_str).limit(1)
)
@ -836,7 +855,7 @@ def _update_document_by_file(tenant_id: str, dataset_id: UUID, document_id: UUID
except ProviderTokenNotInitError as ex:
raise ProviderNotInitializeError(ex.description)
document = documents[0]
return dump_response(DocumentAndBatchResponse, {"document": document, "batch": document.batch}), 200
return document, document.batch
@service_api_ns.route(
@ -890,7 +909,8 @@ class DeprecatedDocumentUpdateByFileApi(DatasetApiResource):
@cloud_edition_billing_rate_limit_check("knowledge", "dataset")
def post(self, tenant_id: str, dataset_id: UUID, document_id: UUID):
"""Update document by file through the deprecated file-update aliases."""
return _update_document_by_file(tenant_id=tenant_id, dataset_id=dataset_id, document_id=document_id)
document, batch = _update_document_by_file(tenant_id=tenant_id, dataset_id=dataset_id, document_id=document_id)
return dump_response(DocumentAndBatchResponse, {"document": document, "batch": batch}), 200
@service_api_ns.route("/datasets/<uuid:dataset_id>/documents")
@ -923,7 +943,7 @@ class DocumentListApi(DatasetApiResource):
def get(self, tenant_id, dataset_id: UUID):
dataset_id_str = str(dataset_id)
tenant_id = str(tenant_id)
query_params = DocumentListQuery.model_validate(request.args.to_dict())
query_params = query_params_from_request(DocumentListQuery)
dataset = db.session.scalar(
select(Dataset).where(Dataset.tenant_id == tenant_id, Dataset.id == dataset_id_str).limit(1)
)
@ -1014,6 +1034,7 @@ class DocumentBatchDownloadZipApi(DatasetApiResource):
)
cleanup = stack.pop_all()
response.call_on_close(cleanup.close)
# response-contract:ignore binary send_file response
return response
@ -1142,7 +1163,7 @@ class DocumentDownloadApi(DatasetApiResource):
if document.tenant_id != str(tenant_id):
raise Forbidden("No permission.")
return {"url": DocumentService.get_document_download_url(document)}
return UrlResponse(url=DocumentService.get_document_download_url(document)).model_dump(mode="json")
@service_api_ns.route("/datasets/<uuid:dataset_id>/documents/<uuid:document_id>")
@ -1169,8 +1190,13 @@ class DocumentApi(DatasetApiResource):
)
@service_api_ns.doc("get_document")
@service_api_ns.doc(description="Get a specific document by ID")
@service_api_ns.doc(params={"dataset_id": "Knowledge base ID.", "document_id": "Document ID."})
@service_api_ns.doc(params=query_params_from_model(DocumentGetQuery))
@service_api_ns.doc(
params={
"dataset_id": "Knowledge base ID.",
"document_id": "Document ID.",
**query_params_from_model(DocumentGetQuery),
}
)
@service_api_ns.doc(
responses={
200: "Document retrieved successfully",
@ -1198,9 +1224,14 @@ class DocumentApi(DatasetApiResource):
if document.tenant_id != str(tenant_id):
raise Forbidden("No permission.")
metadata = request.args.get("metadata", "all")
if metadata not in self.METADATA_CHOICES:
raise InvalidMetadataError(f"Invalid metadata value: {metadata}")
try:
query_params = query_params_from_request(DocumentGetQuery)
except ValidationError as exc:
metadata = request.args.get("metadata", "all")
raise InvalidMetadataError(f"Invalid metadata value: {metadata}") from exc
metadata = query_params.metadata
response_include: set[str] | None = None
response_exclude: set[str] | None = None
# Calculate summary_index_status if needed
summary_index_status = None
@ -1213,8 +1244,10 @@ class DocumentApi(DatasetApiResource):
)
if metadata == "only":
response_include = {"id", "doc_type", "doc_metadata"}
response = {"id": document.id, "doc_type": document.doc_type, "doc_metadata": document.doc_metadata_details}
elif metadata == "without":
response_exclude = {"doc_type", "doc_metadata"}
dataset_process_rules = DatasetService.get_process_rules(dataset_id_str)
document_process_rules = document.dataset_process_rule.to_dict() if document.dataset_process_rule else {}
data_source_info = document.data_source_detail_dict
@ -1287,8 +1320,33 @@ class DocumentApi(DatasetApiResource):
"need_summary": document.need_summary if document.need_summary is not None else False,
}
return response
return DocumentDetailResponse.model_validate(response).model_dump(
mode="json",
include=response_include,
exclude=response_exclude,
)
@service_api_ns.doc(
summary="Update Document by File",
description=(
"Update an existing document by uploading a new file. Re-triggers indexing — use the returned "
"`batch` ID with [Get Document Indexing Status](/api-reference/documents/"
"get-document-indexing-status) to track progress."
),
tags=["Documents"],
responses={
200: "Document updated successfully.",
400: (
"- `too_many_files` : Only one file is allowed.\n"
"- `filename_not_exists_error` : The specified filename does not exist.\n"
"- `provider_not_initialize` : No valid model provider credentials found. Please go to "
"Settings -> Model Provider to complete your provider credentials.\n"
"- `invalid_param` : Knowledge base does not exist, external datasets not supported, "
"file too large, unsupported file type, or invalid doc_form (must be `text_model`, "
"`hierarchical_model`, or `qa_model`)."
),
},
)
@service_api_ns.doc("update_document_by_file")
@service_api_ns.doc(description="Update an existing document by uploading a file")
@service_api_ns.doc(consumes=["multipart/form-data"], params=DOCUMENT_UPDATE_BY_FILE_PARAMS)
@ -1306,7 +1364,8 @@ class DocumentApi(DatasetApiResource):
@cloud_edition_billing_rate_limit_check("knowledge", "dataset")
def patch(self, tenant_id: str, dataset_id: UUID, document_id: UUID):
"""Update document by file on the canonical document resource."""
return _update_document_by_file(tenant_id=tenant_id, dataset_id=dataset_id, document_id=document_id)
document, batch = _update_document_by_file(tenant_id=tenant_id, dataset_id=dataset_id, document_id=document_id)
return dump_response(DocumentAndBatchResponse, {"document": document, "batch": batch}), 200
@service_api_ns.doc(
summary="Delete Document",

View File

@ -1,9 +1,10 @@
from collections.abc import Generator
from datetime import datetime
from typing import Any
from uuid import UUID
from flask import request
from pydantic import BaseModel, Field, RootModel
from pydantic import BaseModel, Field, RootModel, field_validator
from sqlalchemy import select
from werkzeug.exceptions import Forbidden, NotFound
@ -98,6 +99,13 @@ class PipelineUploadFileResponse(ResponseModel):
created_by: str
created_at: str | None = None
@field_validator("created_at", mode="before")
@classmethod
def _normalize_created_at(cls, value: datetime | str | None) -> str | None:
if isinstance(value, datetime):
return value.isoformat()
return value
register_schema_model(service_api_ns, DatasourceNodeRunPayload)
register_schema_model(service_api_ns, PipelineRunApiEntity)

View File

@ -1,7 +1,7 @@
from enum import StrEnum
from typing import Annotated, Literal
from pydantic import BaseModel, Field, WithJsonSchema
from pydantic import AliasChoices, BaseModel, Field, WithJsonSchema
class ParentMode(StrEnum):
@ -26,7 +26,14 @@ class PreProcessingRule(BaseModel):
class Segmentation(BaseModel):
separator: str = Field(default="\n", description="Custom separator for splitting text.")
# TODO: there are internally mismatched / inconsistent naming
# between `separator`` and `delimiter` across the codebase.
# Taking `separator` as the canonical.
separator: str = Field(
default="\n",
description="Custom separator for splitting text.",
validation_alias=AliasChoices("separator", "delimiter"),
)
max_tokens: int = Field(description="Maximum token count per chunk.")
chunk_overlap: int = Field(default=0, description="Token overlap between chunks.")

View File

@ -1,7 +1,7 @@
import re
import tempfile
from pathlib import Path
from typing import Union
from typing import Literal, overload
from urllib.parse import unquote
from configs import dify_config
@ -40,10 +40,22 @@ USER_AGENT = (
class ExtractProcessor:
@overload
@classmethod
def load_from_upload_file(
cls, upload_file: UploadFile, return_text: Literal[True], is_automatic: bool = False
) -> str: ...
@overload
@classmethod
def load_from_upload_file(
cls, upload_file: UploadFile, return_text: Literal[False] = False, is_automatic: bool = False
) -> list[Document]: ...
@classmethod
def load_from_upload_file(
cls, upload_file: UploadFile, return_text: bool = False, is_automatic: bool = False
) -> Union[list[Document], str]:
) -> list[Document] | str:
extract_setting = ExtractSetting(
datasource_type=DatasourceType.FILE, upload_file=upload_file, document_model="text_model"
)
@ -53,8 +65,16 @@ class ExtractProcessor:
else:
return cls.extract(extract_setting, is_automatic)
@overload
@classmethod
def load_from_url(cls, url: str, return_text: bool = False) -> Union[list[Document], str]:
def load_from_url(cls, url: str, return_text: Literal[True]) -> str: ...
@overload
@classmethod
def load_from_url(cls, url: str, return_text: Literal[False] = False) -> list[Document]: ...
@classmethod
def load_from_url(cls, url: str, return_text: bool = False) -> list[Document] | str:
response = remote_fetcher.make_request("GET", url, headers={"User-Agent": USER_AGENT})
with tempfile.TemporaryDirectory() as temp_dir:

View File

@ -1,22 +1,9 @@
from datetime import datetime
from flask_restx import fields
from pydantic import Field, field_validator
from fields.base import ResponseModel
from libs.helper import TimestampField, to_timestamp
dataset_fields = {
"id": fields.String,
"name": fields.String,
"description": fields.String,
"permission": fields.String,
"data_source_type": fields.String,
"indexing_technique": fields.String,
"created_by": fields.String,
"created_at": TimestampField,
"permission_keys": fields.List(fields.String()),
}
from libs.helper import to_timestamp
class DatasetMetadataResponse(ResponseModel):
@ -50,104 +37,6 @@ class DatasetMetadataActionResponse(ResponseModel):
result: str
reranking_model_fields = {"reranking_provider_name": fields.String, "reranking_model_name": fields.String}
keyword_setting_fields = {"keyword_weight": fields.Float}
vector_setting_fields = {
"vector_weight": fields.Float,
"embedding_model_name": fields.String,
"embedding_provider_name": fields.String,
}
weighted_score_fields = {
"weight_type": fields.String,
"keyword_setting": fields.Nested(keyword_setting_fields),
"vector_setting": fields.Nested(vector_setting_fields),
}
dataset_retrieval_model_fields = {
"search_method": fields.String,
"reranking_enable": fields.Boolean,
"reranking_mode": fields.String,
"reranking_model": fields.Nested(reranking_model_fields),
"weights": fields.Nested(weighted_score_fields, allow_null=True),
"top_k": fields.Integer,
"score_threshold_enabled": fields.Boolean,
"score_threshold": fields.Float,
}
dataset_summary_index_fields = {
"enable": fields.Boolean,
"model_name": fields.String,
"model_provider_name": fields.String,
"summary_prompt": fields.String,
}
external_retrieval_model_fields = {
"top_k": fields.Integer,
"score_threshold": fields.Float,
"score_threshold_enabled": fields.Boolean,
}
tag_fields = {"id": fields.String, "name": fields.String, "type": fields.String}
external_knowledge_info_fields = {
"external_knowledge_id": fields.String,
"external_knowledge_api_id": fields.String,
"external_knowledge_api_name": fields.String,
"external_knowledge_api_endpoint": fields.String,
}
doc_metadata_fields = {"id": fields.String, "name": fields.String, "type": fields.String}
icon_info_fields = {
"icon_type": fields.String,
"icon": fields.String,
"icon_background": fields.String,
"icon_url": fields.String,
}
dataset_detail_fields = {
"id": fields.String,
"name": fields.String,
"description": fields.String,
"provider": fields.String,
"permission": fields.String,
"data_source_type": fields.String,
"indexing_technique": fields.String,
"app_count": fields.Integer,
"document_count": fields.Integer,
"word_count": fields.Integer,
"created_by": fields.String,
"author_name": fields.String,
"created_at": TimestampField,
"updated_by": fields.String,
"updated_at": TimestampField,
"embedding_model": fields.String,
"embedding_model_provider": fields.String,
"embedding_available": fields.Boolean,
"retrieval_model_dict": fields.Nested(dataset_retrieval_model_fields),
"summary_index_setting": fields.Nested(dataset_summary_index_fields),
"tags": fields.List(fields.Nested(tag_fields)),
"doc_form": fields.String,
"external_knowledge_info": fields.Nested(external_knowledge_info_fields),
"external_retrieval_model": fields.Nested(external_retrieval_model_fields, allow_null=True),
"doc_metadata": fields.List(fields.Nested(doc_metadata_fields)),
"built_in_field_enabled": fields.Boolean,
"pipeline_id": fields.String,
"runtime_mode": fields.String,
"chunk_structure": fields.String,
"icon_info": fields.Nested(icon_info_fields),
"is_published": fields.Boolean,
"total_documents": fields.Integer,
"total_available_documents": fields.Integer,
"enable_api": fields.Boolean,
"is_multimodal": fields.Boolean,
"permission_keys": fields.List(fields.String()),
}
class DatasetRerankingModelResponse(ResponseModel):
reranking_provider_name: str | None = None
reranking_model_name: str | None = None

View File

@ -15,13 +15,13 @@ simple_account_fields = {
}
class SimpleAccount(ResponseModel):
class SimpleAccountResponse(ResponseModel):
id: str
name: str
email: str
class _AccountAvatar(ResponseModel):
class _AccountAvatarResponseMixin(ResponseModel):
avatar: str | None = None
@computed_field(return_type=str | None) # type: ignore[prop-decorator]
@ -30,7 +30,7 @@ class _AccountAvatar(ResponseModel):
return build_avatar_url(self.avatar)
class Account(_AccountAvatar):
class AccountResponse(_AccountAvatarResponseMixin):
id: str
name: str
email: str
@ -48,7 +48,7 @@ class Account(_AccountAvatar):
return to_timestamp(value)
class AccountWithRole(_AccountAvatar):
class AccountWithRoleResponse(_AccountAvatarResponseMixin):
id: str
name: str
email: str
@ -65,5 +65,11 @@ class AccountWithRole(_AccountAvatar):
return to_timestamp(value)
class AccountWithRoleList(ResponseModel):
accounts: list[AccountWithRole]
class AccountWithRoleListResponse(ResponseModel):
accounts: list[AccountWithRoleResponse]
SimpleAccount = SimpleAccountResponse
Account = AccountResponse
AccountWithRole = AccountWithRoleResponse
AccountWithRoleList = AccountWithRoleListResponse

File diff suppressed because it is too large Load Diff

View File

@ -46,76 +46,6 @@ Deprecated legacy alias for creating a new document by providing text content. U
| 401 | Unauthorized - invalid API token | |
| 403 | Forbidden - dataset API access or workspace access denied | |
### [DELETE] /datasets/{dataset_id}/documents/{document_id}
**Delete Document**
Permanently delete a document and all its chunks from the knowledge base.
#### Parameters
| Name | Located in | Description | Required | Schema |
| ---- | ---------- | ----------- | -------- | ------ |
| dataset_id | path | Knowledge base ID. | Yes | string (uuid) |
| document_id | path | Document ID. | Yes | string (uuid) |
#### Responses
| Code | Description |
| ---- | ----------- |
| 204 | Success. |
| 400 | `document_indexing` : Cannot delete document during indexing. |
| 401 | Unauthorized - invalid API token |
| 403 | `archived_document_immutable` : The archived document is not editable. |
| 404 | `not_found` : Document Not Exists. |
### [GET] /datasets/{dataset_id}/documents/{document_id}
**Get Document**
Retrieve detailed information about a specific document, including its indexing status, metadata, and processing statistics.
#### Parameters
| Name | Located in | Description | Required | Schema |
| ---- | ---------- | ----------- | -------- | ------ |
| dataset_id | path | Knowledge base ID. | Yes | string (uuid) |
| document_id | path | Document ID. | Yes | string (uuid) |
| metadata | query | `all` returns all fields including metadata. `only` returns only `id`, `doc_type`, and `doc_metadata`. `without` returns all fields except `doc_metadata`. | No | string, <br>**Available values:** "all", "only", "without", <br>**Default:** all |
#### Responses
| Code | Description | Schema |
| ---- | ----------- | ------ |
| 200 | Document details. The response shape varies based on the `metadata` query parameter. When `metadata` is `only`, only `id`, `doc_type`, and `doc_metadata` are returned. When `metadata` is `without`, `doc_type` and `doc_metadata` are omitted. | **application/json**: [DocumentDetailResponse](#documentdetailresponse)<br> |
| 400 | `invalid_metadata` : Invalid metadata value for the specified key. | |
| 401 | Unauthorized - invalid API token | |
| 403 | `forbidden` : No permission. | |
| 404 | `not_found` : Document not found. | |
### [PATCH] /datasets/{dataset_id}/documents/{document_id}
Update an existing document by uploading a file
#### Parameters
| Name | Located in | Description | Required | Schema |
| ---- | ---------- | ----------- | -------- | ------ |
| dataset_id | path | Knowledge base ID. | Yes | string (uuid) |
| document_id | path | Document ID. | Yes | string (uuid) |
#### Request Body
| Required | Schema |
| -------- | ------ |
| No | **multipart/form-data**: { **"data"**: string, **"file"**: binary }<br> |
#### Responses
| Code | Description | Schema |
| ---- | ----------- | ------ |
| 200 | Document updated successfully | **application/json**: [DocumentAndBatchResponse](#documentandbatchresponse)<br> |
| 401 | Unauthorized - invalid API token | |
| 403 | Forbidden - dataset API access or workspace access denied | |
| 404 | Document not found | |
### ~~[POST] /datasets/{dataset_id}/documents/{document_id}/update_by_text~~
***DEPRECATED***
@ -1439,7 +1369,9 @@ Retrieve detailed information about a specific document, including its indexing
| 404 | `not_found` : Document not found. | |
### [PATCH] /datasets/{dataset_id}/documents/{document_id}
Update an existing document by uploading a file
**Update Document by File**
Update an existing document by uploading a new file. Re-triggers indexing — use the returned `batch` ID with [Get Document Indexing Status](/api-reference/documents/get-document-indexing-status) to track progress.
#### Parameters
@ -1458,7 +1390,8 @@ Update an existing document by uploading a file
| Code | Description | Schema |
| ---- | ----------- | ------ |
| 200 | Document updated successfully | **application/json**: [DocumentAndBatchResponse](#documentandbatchresponse)<br> |
| 200 | Document updated successfully. | **application/json**: [DocumentAndBatchResponse](#documentandbatchresponse)<br> |
| 400 | - `too_many_files` : Only one file is allowed. - `filename_not_exists_error` : The specified filename does not exist. - `provider_not_initialize` : No valid model provider credentials found. Please go to Settings -> Model Provider to complete your provider credentials. - `invalid_param` : Knowledge base does not exist, external datasets not supported, file too large, unsupported file type, or invalid doc_form (must be `text_model`, `hierarchical_model`, or `qa_model`). | |
| 401 | Unauthorized - invalid API token | |
| 403 | Forbidden - dataset API access or workspace access denied | |
| 404 | Document not found | |
@ -2994,7 +2927,7 @@ Request payload for bulk downloading documents as a zip archive.
| Name | Type | Description | Required |
| ---- | ---- | ----------- | -------- |
| archived | boolean | | No |
| average_segment_length | number | | No |
| average_segment_length | integer<br>number | | No |
| completed_at | integer | | No |
| created_at | integer | | No |
| created_by | string | | No |
@ -3008,7 +2941,7 @@ Request payload for bulk downloading documents as a zip archive.
| display_status | string | | No |
| doc_form | string | | No |
| doc_language | string | | No |
| doc_metadata | [ [DocumentMetadataResponse](#documentmetadataresponse) ] | | No |
| doc_metadata | [ [DocumentMetadataResponse](#documentmetadataresponse) ]<br>object | | No |
| doc_type | string | | No |
| document_process_rule | object | | No |
| enabled | boolean | | No |
@ -3937,7 +3870,7 @@ Model class for provider with models response.
| output_variable_name | string | | Yes |
| type | string | | No |
#### SimpleAccount
#### SimpleAccountResponse
| Name | Type | Description | Required |
| ---- | ---- | ----------- | -------- |
@ -4147,7 +4080,7 @@ in form definiton, or a variable while the workflow is running.
| Name | Type | Description | Required |
| ---- | ---- | ----------- | -------- |
| created_at | integer | | No |
| created_by_account | [SimpleAccount](#simpleaccount) | | No |
| created_by_account | [SimpleAccountResponse](#simpleaccountresponse) | | No |
| created_by_end_user | [SimpleEndUser](#simpleenduser) | | No |
| created_by_role | string | | No |
| created_from | string | | No |

View File

@ -31,6 +31,7 @@ from controllers.console.datasets.datasets import (
DatasetUseCheckApi,
)
from controllers.console.datasets.error import DatasetInUseError, DatasetNameDuplicateError, IndexingEstimateError
from core.entities.knowledge_entities import IndexingEstimate
from core.errors.error import LLMBadRequestError, ProviderTokenNotInitError
from core.provider_manager import ProviderManager
from core.rag.index_processor.constant.index_type import IndexStructureType
@ -1379,8 +1380,7 @@ class TestDatasetIndexingEstimateApi:
mock_file = self._upload_file()
mock_response = MagicMock()
mock_response.model_dump.return_value = {"tokens": 100}
mock_response = IndexingEstimate(total_segments=100, preview=[])
with (
app.test_request_context("/"),
@ -1406,7 +1406,13 @@ class TestDatasetIndexingEstimateApi:
response, status = method(api, "tenant-1")
assert status == 200
assert response == {"tokens": 100}
assert response == {
"tokens": 0,
"total_price": 0,
"currency": "USD",
"total_segments": 100,
"preview": [],
}
def test_post_file_not_found(self, app: Flask):
api = DatasetIndexingEstimateApi()

View File

@ -1,3 +1,4 @@
import datetime
import inspect
from unittest.mock import MagicMock, patch
@ -34,6 +35,7 @@ from controllers.console.datasets.error import (
InvalidActionError,
InvalidMetadataError,
)
from core.entities.knowledge_entities import IndexingEstimate
from core.rag.index_processor.constant.index_type import IndexStructureType
from models.dataset import Dataset
from models.dataset import Document as DatasetDocument
@ -77,6 +79,46 @@ def make_serializable_document(**overrides):
return document
def make_document_detail(**overrides):
attrs = {
"id": "doc-1",
"position": 1,
"data_source_type": "upload_file",
"data_source_info_dict": {"upload_file_id": "file-1"},
"data_source_detail_dict": {},
"dataset_process_rule_id": None,
"dataset_process_rule": None,
"name": "Document",
"created_from": "web",
"created_by": "u1",
"created_at": datetime.datetime(2024, 1, 1, tzinfo=datetime.UTC),
"tokens": 10,
"indexing_status": "completed",
"completed_at": None,
"updated_at": None,
"indexing_latency": None,
"error": None,
"enabled": True,
"disabled_at": None,
"disabled_by": None,
"archived": False,
"doc_type": "others",
"doc_metadata_details": [],
"segment_count": 0,
"average_segment_length": 0,
"hit_count": 0,
"display_status": "available",
"doc_form": "text_model",
"doc_language": "English",
"need_summary": False,
}
attrs.update(overrides)
document = MagicMock(spec_set=list(attrs))
for name, value in attrs.items():
setattr(document, name, value)
return document
def make_dataset(**overrides):
attrs = {
"id": "ds-1",
@ -172,6 +214,42 @@ class TestGetProcessRuleApi:
assert "rules" in response
def test_get_with_document_preserves_legacy_segmentation_delimiter(self, app: Flask, patch_tenant):
api = GetProcessRuleApi()
method = inspect.unwrap(api.get)
user, _ = patch_tenant
document = MagicMock(dataset_id="ds-1")
process_rule = MagicMock(
mode="custom",
rules_dict={"segmentation": {"delimiter": "---", "max_tokens": 123}},
)
with (
app.test_request_context("/?document_id=doc-1"),
patch(
"controllers.console.datasets.datasets_document.db.get_or_404",
return_value=document,
),
patch(
"controllers.console.datasets.datasets_document.DatasetService.get_dataset",
return_value=MagicMock(),
),
patch(
"controllers.console.datasets.datasets_document.DatasetService.check_dataset_permission",
return_value=None,
),
patch(
"controllers.console.datasets.datasets_document.db.session.scalar",
return_value=process_rule,
),
):
response = method(api, user)
assert response["rules"]["segmentation"]["separator"] == "---"
assert response["rules"]["segmentation"]["max_tokens"] == 123
assert "delimiter" not in response["rules"]["segmentation"]
def test_get_with_document_dataset_not_found(self, app: Flask, patch_tenant):
api = GetProcessRuleApi()
method = inspect.unwrap(api.get)
@ -413,7 +491,7 @@ class TestDocumentApi:
method = inspect.unwrap(api.get)
user, tenant_id = patch_tenant
document = MagicMock(dataset_process_rule=None)
document = make_document_detail()
with (
app.test_request_context("/"),
@ -925,12 +1003,24 @@ class TestDocumentSummaryStatusApi:
),
patch(
"services.summary_index_service.SummaryIndexService.get_document_summary_status_detail",
return_value={"total_segments": 0},
return_value={
"total_segments": 1,
"summary_status": {"timeout": 1},
"summaries": [
{
"segment_id": "segment-1",
"segment_position": 1,
"status": "timeout",
}
],
},
),
):
response, status = method(api, user, "ds-1", "doc-1")
assert status == 200
assert response["summary_status"]["timeout"] == 1
assert response["summaries"][0]["status"] == "timeout"
class TestDocumentIndexingEstimateApi:
@ -1102,7 +1192,7 @@ class TestDocumentBatchIndexingEstimateApi:
patch.object(api, "get_batch_documents", return_value=[doc]),
patch(
"controllers.console.datasets.datasets_document.IndexingRunner.indexing_estimate",
return_value=MagicMock(model_dump=lambda: {"tokens": 2}),
return_value=IndexingEstimate(total_segments=2, preview=[]),
),
):
resp, status = method(api, tenant_id, user, "ds-1", "batch-1")
@ -1131,7 +1221,7 @@ class TestDocumentBatchIndexingEstimateApi:
patch.object(api, "get_batch_documents", return_value=[doc]),
patch(
"controllers.console.datasets.datasets_document.IndexingRunner.indexing_estimate",
return_value=MagicMock(model_dump=lambda: {"tokens": 1}),
return_value=IndexingEstimate(total_segments=1, preview=[]),
),
):
resp, status = method(api, tenant_id, user, "ds-1", "batch-1")
@ -1313,7 +1403,7 @@ class TestDocumentApiMetadata:
method = inspect.unwrap(api.get)
user, tenant_id = patch_tenant
document = MagicMock(dataset_process_rule=None, doc_metadata_details=[])
document = make_document_detail(doc_metadata_details=[])
with (
app.test_request_context("/?metadata=only"),
@ -1333,7 +1423,7 @@ class TestDocumentApiMetadata:
method = inspect.unwrap(api.get)
user, tenant_id = patch_tenant
document = MagicMock(dataset_process_rule=None)
document = make_document_detail()
with (
app.test_request_context("/?metadata=without"),
@ -1610,7 +1700,7 @@ class TestDocumentIndexingEdgeCases:
),
patch(
"controllers.console.datasets.datasets_document.IndexingRunner.indexing_estimate",
return_value=MagicMock(model_dump=lambda: {"tokens": 5}),
return_value=IndexingEstimate(total_segments=5, preview=[]),
),
):
response, status = method(api, tenant_id, user, "ds-1", "doc-1")

View File

@ -1,4 +1,6 @@
import inspect
from types import SimpleNamespace
from typing import Any
from unittest.mock import MagicMock, PropertyMock, patch
import pytest
@ -16,6 +18,7 @@ from controllers.console.datasets.external import (
ExternalDatasetCreateApi,
ExternalKnowledgeHitTestingApi,
)
from extensions.ext_database import db
from models.account import Account, TenantAccountRole
from services.dataset_service import DatasetService
from services.external_knowledge_service import ExternalDatasetService
@ -38,28 +41,183 @@ def current_user() -> Account:
return user
def _external_api_dict(api_id: str = "api-1") -> dict:
return {
"id": api_id,
"tenant_id": "tenant-1",
"name": f"External API {api_id}",
"description": f"Description for {api_id}",
"settings": {
"endpoint": f"https://external.example.com/{api_id}",
"api_key": "secret",
"headers": {"X-Source": "unit-test"},
"timeout": 30,
},
"dataset_bindings": [
{"id": f"dataset-{api_id}", "name": f"Dataset {api_id}"},
],
"created_by": "user-1",
"created_at": "2024-01-01T00:00:00",
}
def _external_api_object(api_id: str = "api-1") -> SimpleNamespace:
payload = _external_api_dict(api_id)
return SimpleNamespace(
**{
**payload,
"dataset_bindings": [SimpleNamespace(**binding) for binding in payload["dataset_bindings"]],
}
)
def _expected_dataset_detail_payload() -> dict[str, Any]:
return {
"id": "dataset-1",
"name": "Support knowledge",
"description": "External support articles",
"provider": "external",
"permission": "only_me",
"data_source_type": "external",
"indexing_technique": "economy",
"app_count": 2,
"document_count": 7,
"word_count": 2048,
"created_by": "user-1",
"author_name": "Test User",
"created_at": 1710000000,
"updated_by": "user-2",
"updated_at": 1710003600,
"embedding_model": None,
"embedding_model_provider": None,
"embedding_available": False,
"retrieval_model_dict": {
"search_method": "semantic_search",
"reranking_enable": False,
"reranking_mode": None,
"reranking_model": {"reranking_provider_name": None, "reranking_model_name": None},
"weights": None,
"top_k": 4,
"score_threshold_enabled": True,
"score_threshold": 0.5,
},
"summary_index_setting": {
"enable": True,
"model_name": "summary-model",
"model_provider_name": "provider-a",
"summary_prompt": "Summarize this.",
},
"tags": [{"id": "tag-1", "name": "Support", "type": "knowledge"}],
"doc_form": "text_model",
"external_knowledge_info": {
"external_knowledge_id": "knowledge-1",
"external_knowledge_api_id": "api-1",
"external_knowledge_api_name": "External API api-1",
"external_knowledge_api_endpoint": "https://external.example.com/api-1",
},
"external_retrieval_model": {
"top_k": 4,
"score_threshold": 0.5,
"score_threshold_enabled": True,
},
"doc_metadata": [{"id": "metadata-1", "name": "source", "type": "string"}],
"built_in_field_enabled": True,
"pipeline_id": None,
"runtime_mode": "external",
"chunk_structure": "general",
"icon_info": {
"icon_type": "emoji",
"icon": "book",
"icon_background": "#FFF4ED",
"icon_url": None,
},
"is_published": True,
"total_documents": 7,
"total_available_documents": 6,
"enable_api": True,
"is_multimodal": False,
"maintainer": None,
"permission_keys": [],
}
def _dataset_detail_object() -> SimpleNamespace:
payload = _expected_dataset_detail_payload()
return SimpleNamespace(
**{
**payload,
"summary_index_setting": SimpleNamespace(**payload["summary_index_setting"]),
"tags": [SimpleNamespace(**tag) for tag in payload["tags"]],
"external_knowledge_info": SimpleNamespace(**payload["external_knowledge_info"]),
"external_retrieval_model": SimpleNamespace(**payload["external_retrieval_model"]),
"doc_metadata": [SimpleNamespace(**item) for item in payload["doc_metadata"]],
"icon_info": SimpleNamespace(**payload["icon_info"]),
}
)
class TestExternalApiTemplateListApi:
def test_get_success(self, app: Flask):
api = ExternalApiTemplateListApi()
method = inspect.unwrap(api.get)
api_item = MagicMock()
api_item.to_dict.return_value = {"id": "1"}
api_item = _external_api_object("api-1")
with (
app.test_request_context("/?page=1&limit=20"),
app.test_request_context("/?page=2&limit=1&keyword=vector"),
patch.object(
ExternalDatasetService,
"get_external_knowledge_apis",
return_value=([api_item], 1),
return_value=([api_item], 3),
) as get_external_knowledge_apis,
):
resp, status = method(api, "tenant-1")
assert status == 200
assert resp["total"] == 1
assert resp["data"][0]["id"] == "1"
get_external_knowledge_apis.assert_called_once_with(1, 20, "tenant-1", None)
assert resp == {
"data": [_external_api_dict("api-1")],
"has_more": True,
"limit": 1,
"total": 3,
"page": 2,
}
get_external_knowledge_apis.assert_called_once_with(2, 1, "tenant-1", "vector")
def test_post_success_uses_validated_payload_and_returns_template(self, app: Flask, current_user: Account):
api = ExternalApiTemplateListApi()
method = inspect.unwrap(api.post)
payload = {
"name": "Vendor Search",
"settings": {
"endpoint": "https://external.example.com/search",
"api_key": "secret",
"headers": {"X-Source": "unit-test"},
"timeout": 30,
},
}
created = _external_api_object("api-created")
with (
app.test_request_context("/", json=payload),
patch.object(type(console_ns), "payload", new_callable=PropertyMock, return_value=payload),
patch.object(ExternalDatasetService, "validate_api_list") as validate_api_list,
patch.object(
ExternalDatasetService,
"create_external_knowledge_api",
return_value=created,
) as create_external_knowledge_api,
):
resp, status = method(api, "tenant-1", current_user)
assert status == 201
assert resp == _external_api_dict("api-created")
validate_api_list.assert_called_once_with(payload["settings"])
create_external_knowledge_api.assert_called_once_with(
tenant_id="tenant-1",
user_id="user-1",
args=payload,
)
def test_post_forbidden(self, app: Flask, current_user: Account):
current_user.role = TenantAccountRole.NORMAL
@ -97,6 +255,25 @@ class TestExternalApiTemplateListApi:
class TestExternalApiTemplateApi:
def test_get_success_returns_template_contract(self, app: Flask):
api = ExternalApiTemplateApi()
method = inspect.unwrap(api.get)
template = _external_api_object("api-detail")
with (
app.test_request_context("/"),
patch.object(
ExternalDatasetService,
"get_external_knowledge_api",
return_value=template,
) as get_external_knowledge_api,
):
resp, status = method(api, "tenant-1", "api-detail")
assert status == 200
assert resp == _external_api_dict("api-detail")
get_external_knowledge_api.assert_called_once_with("api-detail", "tenant-1")
def test_get_not_found(self, app: Flask):
api = ExternalApiTemplateApi()
method = inspect.unwrap(api.get)
@ -112,6 +289,42 @@ class TestExternalApiTemplateApi:
with pytest.raises(NotFound):
method(api, "tenant-1", "api-id")
def test_patch_success_uses_validated_payload_and_returns_template(self, app: Flask, current_user: Account):
api = ExternalApiTemplateApi()
method = inspect.unwrap(api.patch)
payload = {
"name": "Updated API",
"settings": {
"endpoint": "https://external.example.com/updated",
"api_key": "new-secret",
"headers": {"X-Version": "2"},
},
}
updated = _external_api_object("api-updated")
with (
app.test_request_context("/", json=payload),
patch.object(type(console_ns), "payload", new_callable=PropertyMock, return_value=payload),
patch.object(ExternalDatasetService, "validate_api_list") as validate_api_list,
patch.object(
ExternalDatasetService,
"update_external_knowledge_api",
return_value=updated,
) as update_external_knowledge_api,
):
resp, status = method(api, "tenant-1", current_user, "api-updated")
assert status == 200
assert resp == _external_api_dict("api-updated")
validate_api_list.assert_called_once_with(payload["settings"])
update_external_knowledge_api.assert_called_once_with(
tenant_id="tenant-1",
user_id="user-1",
external_knowledge_api_id="api-updated",
args=payload,
)
def test_delete_forbidden(self, app: Flask, current_user: Account):
current_user.role = TenantAccountRole.NORMAL
@ -149,45 +362,37 @@ class TestExternalDatasetCreateApi:
method = inspect.unwrap(api.post)
payload = {
"external_knowledge_api_id": "api",
"external_knowledge_id": "kid",
"name": "dataset",
"external_knowledge_api_id": "api-1",
"external_knowledge_id": "knowledge-1",
"name": "Support knowledge",
"description": "External support articles",
"external_retrieval_model": {
"top_k": 4,
"score_threshold": 0.5,
"score_threshold_enabled": True,
},
}
dataset = MagicMock()
dataset.embedding_available = False
dataset.built_in_field_enabled = False
dataset.is_published = False
dataset.enable_api = False
dataset.enable_qa = False
dataset.enable_vector_store = False
dataset.vector_store_setting = None
dataset.is_multimodal = False
dataset.retrieval_model_dict = {}
dataset.tags = []
dataset.external_knowledge_info = None
dataset.external_retrieval_model = None
dataset.doc_metadata = []
dataset.icon_info = None
dataset.permission_keys = []
dataset.summary_index_setting = MagicMock()
dataset.summary_index_setting.enable = False
dataset = _dataset_detail_object()
with (
app.test_request_context("/"),
app.test_request_context("/", json=payload),
patch.object(type(console_ns), "payload", new_callable=PropertyMock, return_value=payload),
patch.object(
ExternalDatasetService,
"create_external_dataset",
return_value=dataset,
),
) as create_external_dataset,
):
_, status = method(api, "tenant-1", current_user)
resp, status = method(api, "tenant-1", current_user)
assert status == 201
assert resp == _expected_dataset_detail_payload()
create_external_dataset.assert_called_once_with(
tenant_id="tenant-1",
user_id="user-1",
args=payload,
)
def test_create_forbidden(self, app: Flask, current_user: Account):
current_user.role = TenantAccountRole.NORMAL
@ -228,24 +433,58 @@ class TestExternalKnowledgeHitTestingApi:
api = ExternalKnowledgeHitTestingApi()
method = inspect.unwrap(api.post)
payload = {"query": "hello"}
payload = {
"query": "hello",
"external_retrieval_model": {
"top_k": 3,
"score_threshold": 0.25,
"score_threshold_enabled": True,
},
"metadata_filtering_conditions": {
"logical_operator": "and",
"conditions": [{"name": "source", "comparison_operator": "contains", "value": "external"}],
},
}
dataset = MagicMock()
retrieve_response = {
"query": {"content": "hello"},
"records": [
{
"content": "answer",
"title": "doc",
"score": 0.9,
"metadata": {"source": "external", "page": 2},
}
],
}
with (
app.test_request_context("/"),
app.test_request_context("/", json=payload),
patch.object(type(console_ns), "payload", new_callable=PropertyMock, return_value=payload),
patch.object(DatasetService, "get_dataset", return_value=dataset),
patch.object(DatasetService, "check_dataset_permission"),
patch.object(DatasetService, "check_dataset_permission") as check_dataset_permission,
patch.object(HitTestingService, "hit_testing_args_check") as hit_testing_args_check,
patch.object(
HitTestingService,
"external_retrieve",
return_value={"ok": True},
),
return_value=retrieve_response,
) as external_retrieve,
patch("controllers.console.datasets.external.dump_response", side_effect=lambda _model, value: value),
):
resp = method(api, current_user, "dataset-id")
assert resp["ok"] is True
assert resp == retrieve_response
check_dataset_permission.assert_called_once_with(dataset, current_user)
hit_testing_args_check.assert_called_once_with(payload)
external_retrieve.assert_called_once_with(
session=db.session,
dataset=dataset,
query="hello",
account=current_user,
external_retrieval_model=payload["external_retrieval_model"],
metadata_filtering_conditions=payload["metadata_filtering_conditions"],
)
class TestBedrockRetrievalApi:
@ -254,24 +493,44 @@ class TestBedrockRetrievalApi:
method = inspect.unwrap(api.post)
payload = {
"retrieval_setting": {},
"query": "hello",
"knowledge_id": "kid",
"retrieval_setting": {"top_k": 5, "score_threshold": 0.72},
"query": "hello bedrock",
"knowledge_id": "knowledge-base-1",
}
retrieval_response = {
"records": [
{
"metadata": {"source": "bedrock", "uri": "s3://bucket/doc.txt"},
"score": 0.8,
"title": "doc",
"content": "answer",
},
{
"metadata": {"source": "bedrock", "uri": "s3://bucket/other.txt"},
"score": 0.65,
"title": None,
"content": None,
},
]
}
with (
app.test_request_context("/"),
app.test_request_context("/", json=payload),
patch.object(type(console_ns), "payload", new_callable=PropertyMock, return_value=payload),
patch.object(
ExternalDatasetTestService,
"knowledge_retrieval",
return_value={"ok": True},
),
return_value=retrieval_response,
) as knowledge_retrieval,
):
resp, status = method()
assert status == 200
assert resp["ok"] is True
assert resp == retrieval_response
retrieval_setting, query, knowledge_id = knowledge_retrieval.call_args.args
assert retrieval_setting.model_dump() == payload["retrieval_setting"]
assert query == "hello bedrock"
assert knowledge_id == "knowledge-base-1"
class TestExternalApiTemplateListApiAdvanced:
@ -297,10 +556,10 @@ class TestExternalApiTemplateListApiAdvanced:
api = ExternalApiTemplateListApi()
method = inspect.unwrap(api.get)
templates = [MagicMock(id=f"api-{i}") for i in range(3)]
templates = [_external_api_object(f"api-{i}") for i in range(3)]
with (
app.test_request_context("/?page=1&limit=20"),
app.test_request_context("/?page=2&limit=3"),
patch(
"controllers.console.datasets.external.ExternalDatasetService.get_external_knowledge_apis",
return_value=(templates, 25),
@ -309,9 +568,14 @@ class TestExternalApiTemplateListApiAdvanced:
resp, status = method(api, "tenant-1")
assert status == 200
assert resp["total"] == 25
assert len(resp["data"]) == 3
get_external_knowledge_apis.assert_called_once_with(1, 20, "tenant-1", None)
assert resp == {
"data": [_external_api_dict(f"api-{i}") for i in range(3)],
"has_more": True,
"limit": 3,
"total": 25,
"page": 2,
}
get_external_knowledge_apis.assert_called_once_with(2, 3, "tenant-1", None)
class TestExternalDatasetCreateApiAdvanced:
@ -374,15 +638,46 @@ class TestExternalKnowledgeHitTestingApiAdvanced:
"controllers.console.datasets.external.DatasetService.get_dataset",
return_value=dataset,
),
patch("controllers.console.datasets.external.DatasetService.check_dataset_permission"),
patch("controllers.console.datasets.external.DatasetService.check_dataset_permission") as check_permission,
patch("controllers.console.datasets.external.HitTestingService.hit_testing_args_check") as args_check,
patch(
"controllers.console.datasets.external.HitTestingService.external_retrieve",
return_value={"results": []},
),
return_value={
"query": {"content": "test query"},
"records": [
{
"content": None,
"title": "metadata-only",
"score": None,
"metadata": {"status": "active"},
}
],
},
) as external_retrieve,
):
resp = method(api, current_user, "ds-1")
assert resp["results"] == []
assert resp == {
"query": {"content": "test query"},
"records": [
{
"content": None,
"title": "metadata-only",
"score": None,
"metadata": {"status": "active"},
}
],
}
check_permission.assert_called_once_with(dataset, current_user)
args_check.assert_called_once_with(payload)
external_retrieve.assert_called_once_with(
session=db.session,
dataset=dataset,
query="test query",
account=current_user,
external_retrieval_model={"type": "bm25"},
metadata_filtering_conditions={"status": "active"},
)
class TestBedrockRetrievalApiAdvanced:

View File

@ -1,4 +1,4 @@
from inspect import unwrap as inspect_unwrap
from inspect import unwrap
from io import BytesIO
from typing import Any
from unittest.mock import MagicMock, patch
@ -35,24 +35,16 @@ from models.model import AppMode
from services.errors.conversation import ConversationNotExistsError
from services.errors.llm import InvokeRateLimitError
unwrap: Any = inspect_unwrap
@pytest.fixture
def account() -> Account:
acc = Account(name="User", email="user@example.com")
def account():
acc = MagicMock(spec=Account)
acc.id = "u1"
return acc
def _file_data() -> Any:
file_data: Any = BytesIO(b"fake audio data")
file_data.filename = "test.wav"
return file_data
@pytest.fixture
def trial_app_chat() -> MagicMock:
def trial_app_chat():
app = MagicMock()
app.id = "a-chat"
app.mode = AppMode.CHAT
@ -60,7 +52,7 @@ def trial_app_chat() -> MagicMock:
@pytest.fixture
def trial_app_completion() -> MagicMock:
def trial_app_completion():
app = MagicMock()
app.id = "a-comp"
app.mode = AppMode.COMPLETION
@ -68,7 +60,7 @@ def trial_app_completion() -> MagicMock:
@pytest.fixture
def trial_app_workflow() -> MagicMock:
def trial_app_workflow():
app = MagicMock()
app.id = "a-workflow"
app.mode = AppMode.WORKFLOW
@ -76,7 +68,7 @@ def trial_app_workflow() -> MagicMock:
@pytest.fixture
def valid_parameters() -> dict[str, object]:
def valid_parameters():
return {
"user_input_form": [],
"system_parameters": {},
@ -92,13 +84,54 @@ def valid_parameters() -> dict[str, object]:
}
def test_trial_workflow_uses_trial_scoped_simple_account_model() -> None:
assert module.simple_account_model.name == "TrialSimpleAccount"
assert hasattr(module.simple_account_model, "items")
def test_trial_workflow_registers_normalized_simple_account_response_model():
assert "SimpleAccountResponse" in module.console_ns.models
def _response_model_name(entry: object) -> str:
assert isinstance(entry, tuple)
assert len(entry) >= 2
model = entry[1]
name = getattr(model, "name", None)
assert isinstance(name, str)
return name
def test_trial_endpoints_keep_response_and_query_docs():
untyped_generated_response_views = [
module.TrialAppWorkflowRunApi.post,
module.TrialChatApi.post,
module.TrialCompletionApi.post,
]
for view in untyped_generated_response_views:
apidoc = getattr(view, "__apidoc__", {})
assert apidoc.get("responses", {})["200"] == ("Success", None, {})
cases = [
(module.TrialMessageSuggestedQuestionApi.get, module.SuggestedQuestionsResponse.__name__),
(module.TrialChatAudioApi.post, module.AudioTranscriptResponse.__name__),
(module.TrialChatTextApi.post, module.AudioBinaryResponse.__name__),
(module.TrialSitApi.get, module.SiteResponse.__name__),
(module.TrialAppParameterApi.get, module.ParametersResponse.__name__),
(module.AppApi.get, module.AppDetailWithSite.__name__),
(module.AppWorkflowApi.get, module.WorkflowResponse.__name__),
(module.DatasetListApi.get, module.TrialDatasetListResponse.__name__),
]
for view, model_name in cases:
apidoc = getattr(view, "__apidoc__", {})
responses = apidoc.get("responses", {})
assert _response_model_name(responses["200"]) == model_name
dataset_params = module.DatasetListApi.get.__apidoc__["params"]
assert dataset_params["ids"]["in"] == "query"
assert dataset_params["ids"]["type"] == "array"
assert dataset_params["page"]["default"] == 1
assert dataset_params["limit"]["default"] == 20
class TestTrialAppWorkflowRunApi:
def test_not_workflow_app(self, app: Flask, account: Account) -> None:
def test_not_workflow_app(self, app: Flask, account):
api = module.TrialAppWorkflowRunApi()
method = unwrap(api.post)
@ -106,7 +139,7 @@ class TestTrialAppWorkflowRunApi:
with pytest.raises(NotWorkflowAppError):
method(api, account, MagicMock(mode=AppMode.CHAT))
def test_success(self, app: Flask, trial_app_workflow: MagicMock, account: Account) -> None:
def test_success(self, app: Flask, trial_app_workflow, account):
api = module.TrialAppWorkflowRunApi()
method = unwrap(api.post)
@ -119,7 +152,7 @@ class TestTrialAppWorkflowRunApi:
assert result is not None
def test_workflow_provider_not_init(self, app: Flask, trial_app_workflow: MagicMock, account: Account) -> None:
def test_workflow_provider_not_init(self, app: Flask, trial_app_workflow, account):
api = module.TrialAppWorkflowRunApi()
method = unwrap(api.post)
@ -134,7 +167,7 @@ class TestTrialAppWorkflowRunApi:
with pytest.raises(ProviderNotInitializeError):
method(api, account, trial_app_workflow)
def test_workflow_quota_exceeded(self, app: Flask, trial_app_workflow: MagicMock, account: Account) -> None:
def test_workflow_quota_exceeded(self, app: Flask, trial_app_workflow, account):
api = module.TrialAppWorkflowRunApi()
method = unwrap(api.post)
@ -149,7 +182,7 @@ class TestTrialAppWorkflowRunApi:
with pytest.raises(ProviderQuotaExceededError):
method(api, account, trial_app_workflow)
def test_workflow_model_not_support(self, app: Flask, trial_app_workflow: MagicMock, account: Account) -> None:
def test_workflow_model_not_support(self, app: Flask, trial_app_workflow, account):
api = module.TrialAppWorkflowRunApi()
method = unwrap(api.post)
@ -164,7 +197,7 @@ class TestTrialAppWorkflowRunApi:
with pytest.raises(ProviderModelCurrentlyNotSupportError):
method(api, account, trial_app_workflow)
def test_workflow_invoke_error(self, app: Flask, trial_app_workflow: MagicMock, account: Account) -> None:
def test_workflow_invoke_error(self, app: Flask, trial_app_workflow, account):
api = module.TrialAppWorkflowRunApi()
method = unwrap(api.post)
@ -179,7 +212,7 @@ class TestTrialAppWorkflowRunApi:
with pytest.raises(CompletionRequestError):
method(api, account, trial_app_workflow)
def test_workflow_rate_limit_error(self, app: Flask, trial_app_workflow: MagicMock, account: Account) -> None:
def test_workflow_rate_limit_error(self, app: Flask, trial_app_workflow, account):
api = module.TrialAppWorkflowRunApi()
method = unwrap(api.post)
@ -194,7 +227,7 @@ class TestTrialAppWorkflowRunApi:
with pytest.raises(InvokeRateLimitHttpError):
method(api, account, trial_app_workflow)
def test_workflow_value_error(self, app: Flask, trial_app_workflow: MagicMock, account: Account) -> None:
def test_workflow_value_error(self, app: Flask, trial_app_workflow, account):
api = module.TrialAppWorkflowRunApi()
method = unwrap(api.post)
@ -209,7 +242,7 @@ class TestTrialAppWorkflowRunApi:
with pytest.raises(ValueError):
method(api, account, trial_app_workflow)
def test_workflow_generic_exception(self, app: Flask, trial_app_workflow: MagicMock, account: Account) -> None:
def test_workflow_generic_exception(self, app: Flask, trial_app_workflow, account):
api = module.TrialAppWorkflowRunApi()
method = unwrap(api.post)
@ -226,7 +259,7 @@ class TestTrialAppWorkflowRunApi:
class TestTrialChatApi:
def test_not_chat_app(self, app: Flask, account: Account) -> None:
def test_not_chat_app(self, app: Flask, account):
api = module.TrialChatApi()
method = unwrap(api.post)
@ -234,7 +267,7 @@ class TestTrialChatApi:
with pytest.raises(NotChatAppError):
method(api, account, MagicMock(mode="completion"))
def test_success(self, app: Flask, trial_app_chat: MagicMock, account: Account) -> None:
def test_success(self, app: Flask, trial_app_chat, account):
api = module.TrialChatApi()
method = unwrap(api.post)
@ -247,7 +280,7 @@ class TestTrialChatApi:
assert result is not None
def test_chat_conversation_not_exists(self, app: Flask, trial_app_chat: MagicMock, account: Account) -> None:
def test_chat_conversation_not_exists(self, app: Flask, trial_app_chat, account):
api = module.TrialChatApi()
method = unwrap(api.post)
@ -262,7 +295,7 @@ class TestTrialChatApi:
with pytest.raises(NotFound):
method(api, account, trial_app_chat)
def test_chat_conversation_completed(self, app: Flask, trial_app_chat: MagicMock, account: Account) -> None:
def test_chat_conversation_completed(self, app: Flask, trial_app_chat, account):
api = module.TrialChatApi()
method = unwrap(api.post)
@ -277,7 +310,7 @@ class TestTrialChatApi:
with pytest.raises(ConversationCompletedError):
method(api, account, trial_app_chat)
def test_chat_app_config_broken(self, app: Flask, trial_app_chat: MagicMock, account: Account) -> None:
def test_chat_app_config_broken(self, app: Flask, trial_app_chat, account):
api = module.TrialChatApi()
method = unwrap(api.post)
@ -292,7 +325,7 @@ class TestTrialChatApi:
with pytest.raises(AppUnavailableError):
method(api, account, trial_app_chat)
def test_chat_provider_not_init(self, app: Flask, trial_app_chat: MagicMock, account: Account) -> None:
def test_chat_provider_not_init(self, app: Flask, trial_app_chat, account):
api = module.TrialChatApi()
method = unwrap(api.post)
@ -307,7 +340,7 @@ class TestTrialChatApi:
with pytest.raises(ProviderNotInitializeError):
method(api, account, trial_app_chat)
def test_chat_quota_exceeded(self, app: Flask, trial_app_chat: MagicMock, account: Account) -> None:
def test_chat_quota_exceeded(self, app: Flask, trial_app_chat, account):
api = module.TrialChatApi()
method = unwrap(api.post)
@ -322,7 +355,7 @@ class TestTrialChatApi:
with pytest.raises(ProviderQuotaExceededError):
method(api, account, trial_app_chat)
def test_chat_model_not_support(self, app: Flask, trial_app_chat: MagicMock, account: Account) -> None:
def test_chat_model_not_support(self, app: Flask, trial_app_chat, account):
api = module.TrialChatApi()
method = unwrap(api.post)
@ -337,7 +370,7 @@ class TestTrialChatApi:
with pytest.raises(ProviderModelCurrentlyNotSupportError):
method(api, account, trial_app_chat)
def test_chat_invoke_error(self, app: Flask, trial_app_chat: MagicMock, account: Account) -> None:
def test_chat_invoke_error(self, app: Flask, trial_app_chat, account):
api = module.TrialChatApi()
method = unwrap(api.post)
@ -352,7 +385,7 @@ class TestTrialChatApi:
with pytest.raises(CompletionRequestError):
method(api, account, trial_app_chat)
def test_chat_rate_limit_error(self, app: Flask, trial_app_chat: MagicMock, account: Account) -> None:
def test_chat_rate_limit_error(self, app: Flask, trial_app_chat, account):
api = module.TrialChatApi()
method = unwrap(api.post)
@ -367,7 +400,7 @@ class TestTrialChatApi:
with pytest.raises(InvokeRateLimitHttpError):
method(api, account, trial_app_chat)
def test_chat_value_error(self, app: Flask, trial_app_chat: MagicMock, account: Account) -> None:
def test_chat_value_error(self, app: Flask, trial_app_chat, account):
api = module.TrialChatApi()
method = unwrap(api.post)
@ -382,7 +415,7 @@ class TestTrialChatApi:
with pytest.raises(ValueError):
method(api, account, trial_app_chat)
def test_chat_generic_exception(self, app: Flask, trial_app_chat: MagicMock, account: Account) -> None:
def test_chat_generic_exception(self, app: Flask, trial_app_chat, account):
api = module.TrialChatApi()
method = unwrap(api.post)
@ -399,7 +432,7 @@ class TestTrialChatApi:
class TestTrialCompletionApi:
def test_not_completion_app(self, app: Flask, account: Account) -> None:
def test_not_completion_app(self, app: Flask, account):
api = module.TrialCompletionApi()
method = unwrap(api.post)
@ -407,7 +440,7 @@ class TestTrialCompletionApi:
with pytest.raises(NotCompletionAppError):
method(api, account, MagicMock(mode=AppMode.CHAT))
def test_success(self, app: Flask, trial_app_completion: MagicMock, account: Account) -> None:
def test_success(self, app: Flask, trial_app_completion, account):
api = module.TrialCompletionApi()
method = unwrap(api.post)
@ -420,7 +453,7 @@ class TestTrialCompletionApi:
assert result is not None
def test_completion_app_config_broken(self, app: Flask, trial_app_completion: MagicMock, account: Account) -> None:
def test_completion_app_config_broken(self, app: Flask, trial_app_completion, account):
api = module.TrialCompletionApi()
method = unwrap(api.post)
@ -435,7 +468,7 @@ class TestTrialCompletionApi:
with pytest.raises(AppUnavailableError):
method(api, account, trial_app_completion)
def test_completion_provider_not_init(self, app: Flask, trial_app_completion: MagicMock, account: Account) -> None:
def test_completion_provider_not_init(self, app: Flask, trial_app_completion, account):
api = module.TrialCompletionApi()
method = unwrap(api.post)
@ -450,7 +483,7 @@ class TestTrialCompletionApi:
with pytest.raises(ProviderNotInitializeError):
method(api, account, trial_app_completion)
def test_completion_quota_exceeded(self, app: Flask, trial_app_completion: MagicMock, account: Account) -> None:
def test_completion_quota_exceeded(self, app: Flask, trial_app_completion, account):
api = module.TrialCompletionApi()
method = unwrap(api.post)
@ -465,7 +498,7 @@ class TestTrialCompletionApi:
with pytest.raises(ProviderQuotaExceededError):
method(api, account, trial_app_completion)
def test_completion_model_not_support(self, app: Flask, trial_app_completion: MagicMock, account: Account) -> None:
def test_completion_model_not_support(self, app: Flask, trial_app_completion, account):
api = module.TrialCompletionApi()
method = unwrap(api.post)
@ -480,7 +513,7 @@ class TestTrialCompletionApi:
with pytest.raises(ProviderModelCurrentlyNotSupportError):
method(api, account, trial_app_completion)
def test_completion_invoke_error(self, app: Flask, trial_app_completion: MagicMock, account: Account) -> None:
def test_completion_invoke_error(self, app: Flask, trial_app_completion, account):
api = module.TrialCompletionApi()
method = unwrap(api.post)
@ -495,7 +528,7 @@ class TestTrialCompletionApi:
with pytest.raises(CompletionRequestError):
method(api, account, trial_app_completion)
def test_completion_rate_limit_error(self, app: Flask, trial_app_completion: MagicMock, account: Account) -> None:
def test_completion_rate_limit_error(self, app: Flask, trial_app_completion, account):
api = module.TrialCompletionApi()
method = unwrap(api.post)
@ -510,7 +543,7 @@ class TestTrialCompletionApi:
with pytest.raises(InternalServerError):
method(api, account, trial_app_completion)
def test_completion_value_error(self, app: Flask, trial_app_completion: MagicMock, account: Account) -> None:
def test_completion_value_error(self, app: Flask, trial_app_completion, account):
api = module.TrialCompletionApi()
method = unwrap(api.post)
@ -525,7 +558,7 @@ class TestTrialCompletionApi:
with pytest.raises(ValueError):
method(api, account, trial_app_completion)
def test_completion_generic_exception(self, app: Flask, trial_app_completion: MagicMock, account: Account) -> None:
def test_completion_generic_exception(self, app: Flask, trial_app_completion, account):
api = module.TrialCompletionApi()
method = unwrap(api.post)
@ -542,7 +575,7 @@ class TestTrialCompletionApi:
class TestTrialMessageSuggestedQuestionApi:
def test_not_chat_app(self, app: Flask, account: Account) -> None:
def test_not_chat_app(self, app: Flask, account):
api = module.TrialMessageSuggestedQuestionApi()
method = unwrap(api.get)
@ -550,7 +583,7 @@ class TestTrialMessageSuggestedQuestionApi:
with pytest.raises(NotChatAppError):
method(api, account, MagicMock(mode="completion"), str(uuid4()))
def test_success(self, app: Flask, trial_app_chat: MagicMock, account: Account) -> None:
def test_success(self, app: Flask, trial_app_chat, account):
api = module.TrialMessageSuggestedQuestionApi()
method = unwrap(api.get)
@ -566,7 +599,7 @@ class TestTrialMessageSuggestedQuestionApi:
assert result == {"data": ["q1", "q2"]}
def test_conversation_not_exists(self, app: Flask, trial_app_chat: MagicMock, account: Account) -> None:
def test_conversation_not_exists(self, app: Flask, trial_app_chat, account):
api = module.TrialMessageSuggestedQuestionApi()
method = unwrap(api.get)
@ -583,14 +616,14 @@ class TestTrialMessageSuggestedQuestionApi:
class TestTrialAppParameterApi:
def test_app_unavailable(self) -> None:
def test_app_unavailable(self):
api = module.TrialAppParameterApi()
method = unwrap(api.get)
with pytest.raises(AppUnavailableError):
method(api, None)
def test_success_non_workflow(self, valid_parameters: dict[str, object]) -> None:
def test_success_non_workflow(self, valid_parameters):
api = module.TrialAppParameterApi()
method = unwrap(api.get)
@ -617,11 +650,12 @@ class TestTrialAppParameterApi:
class TestTrialChatAudioApi:
def test_success(self, app: Flask, trial_app_chat: MagicMock, account: Account) -> None:
def test_success(self, app: Flask, trial_app_chat, account):
api = module.TrialChatAudioApi()
method = unwrap(api.post)
file_data = _file_data()
file_data: Any = BytesIO(b"fake audio data")
file_data.filename = "test.wav"
with (
app.test_request_context(
@ -634,11 +668,12 @@ class TestTrialChatAudioApi:
assert result == {"text": "hello"}
def test_app_config_broken(self, app: Flask, trial_app_chat: MagicMock, account: Account) -> None:
def test_app_config_broken(self, app: Flask, trial_app_chat, account):
api = module.TrialChatAudioApi()
method = unwrap(api.post)
file_data = _file_data()
file_data: Any = BytesIO(b"fake audio data")
file_data.filename = "test.wav"
with (
app.test_request_context(
@ -653,11 +688,12 @@ class TestTrialChatAudioApi:
with pytest.raises(module.AppUnavailableError):
method(api, account, trial_app_chat)
def test_no_audio_uploaded(self, app: Flask, trial_app_chat: MagicMock, account: Account) -> None:
def test_no_audio_uploaded(self, app: Flask, trial_app_chat, account):
api = module.TrialChatAudioApi()
method = unwrap(api.post)
file_data = _file_data()
file_data: Any = BytesIO(b"fake audio data")
file_data.filename = "test.wav"
with (
app.test_request_context(
@ -672,11 +708,12 @@ class TestTrialChatAudioApi:
with pytest.raises(module.NoAudioUploadedError):
method(api, account, trial_app_chat)
def test_audio_too_large(self, app: Flask, trial_app_chat: MagicMock, account: Account) -> None:
def test_audio_too_large(self, app: Flask, trial_app_chat, account):
api = module.TrialChatAudioApi()
method = unwrap(api.post)
file_data = _file_data()
file_data: Any = BytesIO(b"fake audio data")
file_data.filename = "test.wav"
with (
app.test_request_context(
@ -691,11 +728,12 @@ class TestTrialChatAudioApi:
with pytest.raises(module.AudioTooLargeError):
method(api, account, trial_app_chat)
def test_unsupported_audio_type(self, app: Flask, trial_app_chat: MagicMock, account: Account) -> None:
def test_unsupported_audio_type(self, app: Flask, trial_app_chat, account):
api = module.TrialChatAudioApi()
method = unwrap(api.post)
file_data = _file_data()
file_data: Any = BytesIO(b"fake audio data")
file_data.filename = "test.wav"
with (
app.test_request_context(
@ -710,11 +748,12 @@ class TestTrialChatAudioApi:
with pytest.raises(module.UnsupportedAudioTypeError):
method(api, account, trial_app_chat)
def test_provider_not_support_tts(self, app: Flask, trial_app_chat: MagicMock, account: Account) -> None:
def test_provider_not_support_tts(self, app: Flask, trial_app_chat, account):
api = module.TrialChatAudioApi()
method = unwrap(api.post)
file_data = _file_data()
file_data: Any = BytesIO(b"fake audio data")
file_data.filename = "test.wav"
with (
app.test_request_context(
@ -729,11 +768,12 @@ class TestTrialChatAudioApi:
with pytest.raises(module.ProviderNotSupportSpeechToTextError):
method(api, account, trial_app_chat)
def test_provider_not_init(self, app: Flask, trial_app_chat: MagicMock, account: Account) -> None:
def test_provider_not_init(self, app: Flask, trial_app_chat, account):
api = module.TrialChatAudioApi()
method = unwrap(api.post)
file_data = _file_data()
file_data: Any = BytesIO(b"fake audio data")
file_data.filename = "test.wav"
with (
app.test_request_context(
@ -744,11 +784,12 @@ class TestTrialChatAudioApi:
with pytest.raises(ProviderNotInitializeError):
method(api, account, trial_app_chat)
def test_quota_exceeded(self, app: Flask, trial_app_chat: MagicMock, account: Account) -> None:
def test_quota_exceeded(self, app: Flask, trial_app_chat, account):
api = module.TrialChatAudioApi()
method = unwrap(api.post)
file_data = _file_data()
file_data: Any = BytesIO(b"fake audio data")
file_data.filename = "test.wav"
with (
app.test_request_context(
@ -761,7 +802,7 @@ class TestTrialChatAudioApi:
class TestTrialChatTextApi:
def test_success(self, app: Flask, trial_app_chat: MagicMock, account: Account) -> None:
def test_success(self, app: Flask, trial_app_chat, account):
api = module.TrialChatTextApi()
method = unwrap(api.post)
@ -774,7 +815,7 @@ class TestTrialChatTextApi:
assert result == {"audio": "base64_data"}
def test_app_config_broken(self, app: Flask, trial_app_chat: MagicMock, account: Account) -> None:
def test_app_config_broken(self, app: Flask, trial_app_chat, account):
api = module.TrialChatTextApi()
method = unwrap(api.post)
@ -789,7 +830,7 @@ class TestTrialChatTextApi:
with pytest.raises(module.AppUnavailableError):
method(api, account, trial_app_chat)
def test_provider_not_support(self, app: Flask, trial_app_chat: MagicMock, account: Account) -> None:
def test_provider_not_support(self, app: Flask, trial_app_chat, account):
api = module.TrialChatTextApi()
method = unwrap(api.post)
@ -804,7 +845,7 @@ class TestTrialChatTextApi:
with pytest.raises(module.ProviderNotSupportSpeechToTextError):
method(api, account, trial_app_chat)
def test_audio_too_large(self, app: Flask, trial_app_chat: MagicMock, account: Account) -> None:
def test_audio_too_large(self, app: Flask, trial_app_chat, account):
api = module.TrialChatTextApi()
method = unwrap(api.post)
@ -819,7 +860,7 @@ class TestTrialChatTextApi:
with pytest.raises(module.AudioTooLargeError):
method(api, account, trial_app_chat)
def test_no_audio_uploaded(self, app: Flask, trial_app_chat: MagicMock, account: Account) -> None:
def test_no_audio_uploaded(self, app: Flask, trial_app_chat, account):
api = module.TrialChatTextApi()
method = unwrap(api.post)
@ -834,7 +875,7 @@ class TestTrialChatTextApi:
with pytest.raises(module.NoAudioUploadedError):
method(api, account, trial_app_chat)
def test_provider_not_init(self, app: Flask, trial_app_chat: MagicMock, account: Account) -> None:
def test_provider_not_init(self, app: Flask, trial_app_chat, account):
api = module.TrialChatTextApi()
method = unwrap(api.post)
@ -845,7 +886,7 @@ class TestTrialChatTextApi:
with pytest.raises(ProviderNotInitializeError):
method(api, account, trial_app_chat)
def test_quota_exceeded(self, app: Flask, trial_app_chat: MagicMock, account: Account) -> None:
def test_quota_exceeded(self, app: Flask, trial_app_chat, account):
api = module.TrialChatTextApi()
method = unwrap(api.post)
@ -856,7 +897,7 @@ class TestTrialChatTextApi:
with pytest.raises(ProviderQuotaExceededError):
method(api, account, trial_app_chat)
def test_model_not_support(self, app: Flask, trial_app_chat: MagicMock, account: Account) -> None:
def test_model_not_support(self, app: Flask, trial_app_chat, account):
api = module.TrialChatTextApi()
method = unwrap(api.post)
@ -867,7 +908,7 @@ class TestTrialChatTextApi:
with pytest.raises(ProviderModelCurrentlyNotSupportError):
method(api, account, trial_app_chat)
def test_invoke_error(self, app: Flask, trial_app_chat: MagicMock, account: Account) -> None:
def test_invoke_error(self, app: Flask, trial_app_chat, account):
api = module.TrialChatTextApi()
method = unwrap(api.post)
@ -880,7 +921,7 @@ class TestTrialChatTextApi:
class TestTrialAppWorkflowTaskStopApi:
def test_not_workflow_app(self, app: Flask, trial_app_chat: MagicMock) -> None:
def test_not_workflow_app(self, app: Flask, trial_app_chat):
api = module.TrialAppWorkflowTaskStopApi()
method = unwrap(api.post)
@ -888,7 +929,7 @@ class TestTrialAppWorkflowTaskStopApi:
with pytest.raises(NotWorkflowAppError):
method(api, trial_app_chat, str(uuid4()))
def test_success(self, app: Flask, trial_app_workflow: MagicMock) -> None:
def test_success(self, app: Flask, trial_app_workflow, account):
api = module.TrialAppWorkflowTaskStopApi()
method = unwrap(api.post)
@ -906,7 +947,7 @@ class TestTrialAppWorkflowTaskStopApi:
class TestTrialSitApi:
def test_no_site(self, app: Flask) -> None:
def test_no_site(self, app: Flask):
api = module.TrialSitApi()
method = unwrap(api.get)
app_model = MagicMock()
@ -917,7 +958,7 @@ class TestTrialSitApi:
with pytest.raises(Forbidden):
method(api, app_model)
def test_archived_tenant(self, app: Flask) -> None:
def test_archived_tenant(self, app: Flask):
api = module.TrialSitApi()
method = unwrap(api.get)
@ -932,7 +973,7 @@ class TestTrialSitApi:
with pytest.raises(Forbidden):
method(api, app_model)
def test_success(self, app: Flask) -> None:
def test_success(self, app: Flask):
api = module.TrialSitApi()
method = unwrap(api.get)
@ -957,11 +998,12 @@ class TestTrialSitApi:
class TestTrialChatAudioApiExceptionHandlers:
def test_provider_not_init(self, app: Flask, trial_app_chat: MagicMock, account: Account) -> None:
def test_provider_not_init(self, app: Flask, trial_app_chat, account):
api = module.TrialChatAudioApi()
method = unwrap(api.post)
file_data = _file_data()
file_data: Any = BytesIO(b"fake audio data")
file_data.filename = "test.wav"
with (
app.test_request_context(
@ -976,11 +1018,12 @@ class TestTrialChatAudioApiExceptionHandlers:
with pytest.raises(ProviderNotInitializeError):
method(api, account, trial_app_chat)
def test_quota_exceeded(self, app: Flask, trial_app_chat: MagicMock, account: Account) -> None:
def test_quota_exceeded(self, app: Flask, trial_app_chat, account):
api = module.TrialChatAudioApi()
method = unwrap(api.post)
file_data = _file_data()
file_data: Any = BytesIO(b"fake audio data")
file_data.filename = "test.wav"
with (
app.test_request_context(
@ -995,11 +1038,12 @@ class TestTrialChatAudioApiExceptionHandlers:
with pytest.raises(ProviderQuotaExceededError):
method(api, account, trial_app_chat)
def test_invoke_error(self, app: Flask, trial_app_chat: MagicMock, account: Account) -> None:
def test_invoke_error(self, app: Flask, trial_app_chat, account):
api = module.TrialChatAudioApi()
method = unwrap(api.post)
file_data = _file_data()
file_data: Any = BytesIO(b"fake audio data")
file_data.filename = "test.wav"
with (
app.test_request_context(
@ -1016,7 +1060,7 @@ class TestTrialChatAudioApiExceptionHandlers:
class TestTrialChatTextApiExceptionHandlers:
def test_app_config_broken(self, app: Flask, trial_app_chat: MagicMock, account: Account) -> None:
def test_app_config_broken(self, app: Flask, trial_app_chat, account):
api = module.TrialChatTextApi()
method = unwrap(api.post)
@ -1031,7 +1075,7 @@ class TestTrialChatTextApiExceptionHandlers:
with pytest.raises(module.AppUnavailableError):
method(api, account, trial_app_chat)
def test_unsupported_audio_type(self, app: Flask, trial_app_chat: MagicMock, account: Account) -> None:
def test_unsupported_audio_type(self, app: Flask, trial_app_chat, account):
api = module.TrialChatTextApi()
method = unwrap(api.post)

View File

@ -2,9 +2,10 @@
Unit tests for Service API knowledge pipeline file-upload serialization.
"""
import importlib.util
from datetime import UTC, datetime
from pathlib import Path
from controllers.service_api.dataset.rag_pipeline.rag_pipeline_workflow import PipelineUploadFileResponse
from libs.helper import dump_response
class FakeUploadFile:
@ -17,21 +18,7 @@ class FakeUploadFile:
created_at: datetime | None
def _load_serialize_upload_file():
api_dir = Path(__file__).resolve().parents[5]
serializers_path = api_dir / "controllers" / "service_api" / "dataset" / "rag_pipeline" / "serializers.py"
spec = importlib.util.spec_from_file_location("rag_pipeline_serializers", serializers_path)
assert spec
assert spec.loader
module = importlib.util.module_from_spec(spec)
spec.loader.exec_module(module) # type: ignore[attr-defined]
return module.serialize_upload_file
def test_file_upload_created_at_is_isoformat_string():
serialize_upload_file = _load_serialize_upload_file()
created_at = datetime(2026, 2, 8, 12, 0, 0, tzinfo=UTC)
upload_file = FakeUploadFile()
upload_file.id = "file-1"
@ -42,13 +29,11 @@ def test_file_upload_created_at_is_isoformat_string():
upload_file.created_by = "account-1"
upload_file.created_at = created_at
result = serialize_upload_file(upload_file)
result = dump_response(PipelineUploadFileResponse, upload_file)
assert result["created_at"] == created_at.isoformat()
def test_file_upload_created_at_none_serializes_to_null():
serialize_upload_file = _load_serialize_upload_file()
upload_file = FakeUploadFile()
upload_file.id = "file-1"
upload_file.name = "test.pdf"
@ -58,5 +43,5 @@ def test_file_upload_created_at_none_serializes_to_null():
upload_file.created_by = "account-1"
upload_file.created_at = None
result = serialize_upload_file(upload_file)
result = dump_response(PipelineUploadFileResponse, upload_file)
assert result["created_at"] is None

View File

@ -12,7 +12,7 @@ export type AccountAvatarPayload = {
avatar: string
}
export type Account = {
export type AccountResponse = {
avatar?: string | null
readonly avatar_url: string | null
created_at?: number | null
@ -140,7 +140,7 @@ export type AccountIntegrateResponse = {
provider: string
}
export type AccountWritable = {
export type AccountResponseWritable = {
avatar?: string | null
created_at?: number | null
email: string
@ -177,7 +177,7 @@ export type PostAccountAvatarData = {
}
export type PostAccountAvatarResponses = {
200: Account
200: AccountResponse
}
export type PostAccountAvatarResponse = PostAccountAvatarResponses[keyof PostAccountAvatarResponses]
@ -218,7 +218,7 @@ export type PostAccountChangeEmailResetData = {
}
export type PostAccountChangeEmailResetResponses = {
200: Account
200: AccountResponse
}
export type PostAccountChangeEmailResetResponse
@ -374,7 +374,7 @@ export type PostAccountInterfaceLanguageData = {
}
export type PostAccountInterfaceLanguageResponses = {
200: Account
200: AccountResponse
}
export type PostAccountInterfaceLanguageResponse
@ -388,7 +388,7 @@ export type PostAccountInterfaceThemeData = {
}
export type PostAccountInterfaceThemeResponses = {
200: Account
200: AccountResponse
}
export type PostAccountInterfaceThemeResponse
@ -402,7 +402,7 @@ export type PostAccountNameData = {
}
export type PostAccountNameResponses = {
200: Account
200: AccountResponse
}
export type PostAccountNameResponse = PostAccountNameResponses[keyof PostAccountNameResponses]
@ -415,7 +415,7 @@ export type PostAccountPasswordData = {
}
export type PostAccountPasswordResponses = {
200: Account
200: AccountResponse
}
export type PostAccountPasswordResponse
@ -429,7 +429,7 @@ export type GetAccountProfileData = {
}
export type GetAccountProfileResponses = {
200: Account
200: AccountResponse
}
export type GetAccountProfileResponse = GetAccountProfileResponses[keyof GetAccountProfileResponses]
@ -442,7 +442,7 @@ export type PostAccountTimezoneData = {
}
export type PostAccountTimezoneResponses = {
200: Account
200: AccountResponse
}
export type PostAccountTimezoneResponse

View File

@ -17,9 +17,9 @@ export const zAccountAvatarPayload = z.object({
})
/**
* Account
* AccountResponse
*/
export const zAccount = z.object({
export const zAccountResponse = z.object({
avatar: z.string().nullish(),
avatar_url: z.string().nullable(),
created_at: z.int().nullish(),
@ -212,9 +212,9 @@ export const zAccountIntegrateListResponse = z.object({
})
/**
* Account
* AccountResponse
*/
export const zAccountWritable = z.object({
export const zAccountResponseWritable = z.object({
avatar: z.string().nullish(),
created_at: z.int().nullish(),
email: z.string(),
@ -242,7 +242,7 @@ export const zPostAccountAvatarBody = zAccountAvatarPayload
/**
* Success
*/
export const zPostAccountAvatarResponse = zAccount
export const zPostAccountAvatarResponse = zAccountResponse
export const zPostAccountChangeEmailBody = zChangeEmailSendPayload
@ -263,7 +263,7 @@ export const zPostAccountChangeEmailResetBody = zChangeEmailResetPayload
/**
* Success
*/
export const zPostAccountChangeEmailResetResponse = zAccount
export const zPostAccountChangeEmailResetResponse = zAccountResponse
export const zPostAccountChangeEmailValidityBody = zChangeEmailValidityPayload
@ -336,37 +336,37 @@ export const zPostAccountInterfaceLanguageBody = zAccountInterfaceLanguagePayloa
/**
* Success
*/
export const zPostAccountInterfaceLanguageResponse = zAccount
export const zPostAccountInterfaceLanguageResponse = zAccountResponse
export const zPostAccountInterfaceThemeBody = zAccountInterfaceThemePayload
/**
* Success
*/
export const zPostAccountInterfaceThemeResponse = zAccount
export const zPostAccountInterfaceThemeResponse = zAccountResponse
export const zPostAccountNameBody = zAccountNamePayload
/**
* Success
*/
export const zPostAccountNameResponse = zAccount
export const zPostAccountNameResponse = zAccountResponse
export const zPostAccountPasswordBody = zAccountPasswordPayload
/**
* Success
*/
export const zPostAccountPasswordResponse = zAccount
export const zPostAccountPasswordResponse = zAccountResponse
/**
* Success
*/
export const zGetAccountProfileResponse = zAccount
export const zGetAccountProfileResponse = zAccountResponse
export const zPostAccountTimezoneBody = zAccountTimezonePayload
/**
* Success
*/
export const zPostAccountTimezoneResponse = zAccount
export const zPostAccountTimezoneResponse = zAccountResponse

View File

@ -269,6 +269,7 @@ export type MessageDetailResponse = {
agent_thoughts?: Array<AgentThought>
annotation?: ConversationAnnotation | null
annotation_hit_history?: ConversationAnnotationHitHistory | null
answer: string
answer_tokens?: number | null
conversation_id: string
created_at?: number | null
@ -284,12 +285,11 @@ export type MessageDetailResponse = {
}
message?: JsonValue | null
message_files?: Array<MessageFile>
message_metadata_dict?: JsonValue | null
message_tokens?: number | null
metadata?: JsonValue | null
parent_message_id?: string | null
provider_response_latency?: number | null
query: string
re_sign_file_url_answer: string
status: string
workflow_run_id?: string | null
}
@ -405,12 +405,30 @@ export type DeletedTool = {
}
export type ModelConfig = {
completion_params?: {
[key: string]: unknown
}
mode: LlmMode
name: string
provider: string
agent_mode?: JsonValue | null
annotation_reply?: JsonValue | null
chat_prompt_config?: JsonValue | null
completion_prompt_config?: JsonValue | null
created_at?: number | null
created_by?: string | null
dataset_configs?: JsonValue | null
dataset_query_variable?: string | null
external_data_tools?: JsonValue | null
file_upload?: JsonValue | null
model?: JsonValue | null
more_like_this?: JsonValue | null
opening_statement?: string | null
pre_prompt?: string | null
prompt_type?: string | null
retriever_resource?: JsonValue | null
sensitive_word_avoidance?: JsonValue | null
speech_to_text?: JsonValue | null
suggested_questions?: JsonValue | null
suggested_questions_after_answer?: JsonValue | null
text_to_speech?: JsonValue | null
updated_at?: number | null
updated_by?: string | null
user_input_form?: JsonValue | null
}
export type Site = {
@ -723,7 +741,6 @@ export type AgentThought = {
created_at?: number | null
files: Array<string>
id: string
message_chain_id?: string | null
message_id: string
observation?: string | null
position: number
@ -743,8 +760,8 @@ export type ConversationAnnotation = {
export type ConversationAnnotationHitHistory = {
annotation_create_account?: SimpleAccount | null
annotation_id: string
created_at?: number | null
id: string
}
export type HumanInputContent = {
@ -879,8 +896,6 @@ export type AgentAppPublishedReferenceResponse = {
app_name: string
}
export type LlmMode = 'chat' | 'completion'
export type AgentKind = 'dify_agent'
export type AgentPublishedReferenceResponse = {

View File

@ -229,6 +229,36 @@ export const zJsonValue = z
])
.nullable()
/**
* ModelConfig
*/
export const zModelConfig = z.object({
agent_mode: zJsonValue.nullish(),
annotation_reply: zJsonValue.nullish(),
chat_prompt_config: zJsonValue.nullish(),
completion_prompt_config: zJsonValue.nullish(),
created_at: z.int().nullish(),
created_by: z.string().nullish(),
dataset_configs: zJsonValue.nullish(),
dataset_query_variable: z.string().nullish(),
external_data_tools: zJsonValue.nullish(),
file_upload: zJsonValue.nullish(),
model: zJsonValue.nullish(),
more_like_this: zJsonValue.nullish(),
opening_statement: z.string().nullish(),
pre_prompt: z.string().nullish(),
prompt_type: z.string().nullish(),
retriever_resource: zJsonValue.nullish(),
sensitive_word_avoidance: zJsonValue.nullish(),
speech_to_text: zJsonValue.nullish(),
suggested_questions: zJsonValue.nullish(),
suggested_questions_after_answer: zJsonValue.nullish(),
text_to_speech: zJsonValue.nullish(),
updated_at: z.int().nullish(),
updated_by: z.string().nullish(),
user_input_form: zJsonValue.nullish(),
})
/**
* WorkflowPartial
*/
@ -240,6 +270,43 @@ export const zWorkflowPartial = z.object({
updated_by: z.string().nullish(),
})
/**
* AgentAppDetailWithSite
*/
export const zAgentAppDetailWithSite = z.object({
access_mode: z.string().nullish(),
active_config_is_published: z.boolean().optional().default(false),
api_base_url: z.string().nullish(),
app_id: z.string().nullish(),
bound_agent_id: z.string().nullish(),
created_at: z.int().nullish(),
created_by: z.string().nullish(),
debug_conversation_id: z.string().nullish(),
deleted_tools: z.array(zDeletedTool).optional(),
description: z.string().nullish(),
enable_api: z.boolean(),
enable_site: z.boolean(),
icon: z.string().nullish(),
icon_background: z.string().nullish(),
icon_type: z.string().nullish(),
icon_url: z.string().nullable(),
id: z.string(),
maintainer: z.string().nullish(),
max_active_requests: z.int().nullish(),
mode: z.string(),
model_config: zModelConfig.nullish(),
name: z.string(),
permission_keys: z.array(z.string()).optional(),
role: z.string().nullish(),
site: zSite.nullish(),
tags: z.array(zTag).optional(),
tracing: zJsonValue.nullish(),
updated_at: z.int().nullish(),
updated_by: z.string().nullish(),
use_icon_as_answer_icon: z.boolean().nullish(),
workflow: zWorkflowPartial.nullish(),
})
/**
* AgentConfigSnapshotSummaryResponse
*/
@ -570,7 +637,6 @@ export const zAgentThought = z.object({
created_at: z.int().nullish(),
files: z.array(z.string()),
id: z.string(),
message_chain_id: z.string().nullish(),
message_id: z.string(),
observation: z.string().nullish(),
position: z.int(),
@ -773,60 +839,6 @@ export const zAgentAppPagination = z.object({
total: z.int(),
})
/**
* LLMMode
*
* Enum class for large language model mode.
*/
export const zLlmMode = z.enum(['chat', 'completion'])
/**
* ModelConfig
*/
export const zModelConfig = z.object({
completion_params: z.record(z.string(), z.unknown()).optional(),
mode: zLlmMode,
name: z.string(),
provider: z.string(),
})
/**
* AgentAppDetailWithSite
*/
export const zAgentAppDetailWithSite = z.object({
access_mode: z.string().nullish(),
active_config_is_published: z.boolean().optional().default(false),
api_base_url: z.string().nullish(),
app_id: z.string().nullish(),
bound_agent_id: z.string().nullish(),
created_at: z.int().nullish(),
created_by: z.string().nullish(),
debug_conversation_id: z.string().nullish(),
deleted_tools: z.array(zDeletedTool).optional(),
description: z.string().nullish(),
enable_api: z.boolean(),
enable_site: z.boolean(),
icon: z.string().nullish(),
icon_background: z.string().nullish(),
icon_type: z.string().nullish(),
icon_url: z.string().nullable(),
id: z.string(),
maintainer: z.string().nullish(),
max_active_requests: z.int().nullish(),
mode: z.string(),
model_config: zModelConfig.nullish(),
name: z.string(),
permission_keys: z.array(z.string()).optional(),
role: z.string().nullish(),
site: zSite.nullish(),
tags: z.array(zTag).optional(),
tracing: zJsonValue.nullish(),
updated_at: z.int().nullish(),
updated_by: z.string().nullish(),
use_icon_as_answer_icon: z.boolean().nullish(),
workflow: zWorkflowPartial.nullish(),
})
/**
* AgentKind
*
@ -1056,8 +1068,8 @@ export const zConversationAnnotation = z.object({
*/
export const zConversationAnnotationHitHistory = z.object({
annotation_create_account: zSimpleAccount.nullish(),
annotation_id: z.string(),
created_at: z.int().nullish(),
id: z.string(),
})
/**
@ -2035,6 +2047,7 @@ export const zMessageDetailResponse = z.object({
agent_thoughts: z.array(zAgentThought).optional(),
annotation: zConversationAnnotation.nullish(),
annotation_hit_history: zConversationAnnotationHitHistory.nullish(),
answer: z.string(),
answer_tokens: z.int().nullish(),
conversation_id: z.string(),
created_at: z.int().nullish(),
@ -2048,12 +2061,11 @@ export const zMessageDetailResponse = z.object({
inputs: z.record(z.string(), zJsonValue),
message: zJsonValue.nullish(),
message_files: z.array(zMessageFile).optional(),
message_metadata_dict: zJsonValue.nullish(),
message_tokens: z.int().nullish(),
metadata: zJsonValue.nullish(),
parent_message_id: z.string().nullish(),
provider_response_latency: z.number().nullish(),
query: z.string(),
re_sign_file_url_answer: z.string(),
status: z.string(),
workflow_run_id: z.string().nullish(),
})

View File

@ -472,6 +472,7 @@ export type MessageDetailResponse = {
agent_thoughts?: Array<AgentThought>
annotation?: ConversationAnnotation | null
annotation_hit_history?: ConversationAnnotationHitHistory | null
answer: string
answer_tokens?: number | null
conversation_id: string
created_at?: number | null
@ -487,12 +488,11 @@ export type MessageDetailResponse = {
}
message?: JsonValue | null
message_files?: Array<MessageFile>
message_metadata_dict?: JsonValue | null
message_tokens?: number | null
metadata?: JsonValue | null
parent_message_id?: string | null
provider_response_latency?: number | null
query: string
re_sign_file_url_answer: string
status: string
workflow_run_id?: string | null
}
@ -731,7 +731,7 @@ export type WorkflowRunPaginationResponse = {
export type WorkflowRunDetailResponse = {
created_at?: number | null
created_by_account?: SimpleAccount | null
created_by_account?: SimpleAccountResponse | null
created_by_end_user?: SimpleEndUser | null
created_by_role?: string | null
elapsed_time?: number | null
@ -799,7 +799,7 @@ export type WorkflowCommentCreate = {
}
export type WorkflowCommentMentionUsersPayload = {
users: Array<AccountWithRole>
users: Array<AccountWithRoleResponse>
}
export type WorkflowCommentDetail = {
@ -887,7 +887,7 @@ export type DefaultBlockConfigResponse = {
export type WorkflowResponse = {
conversation_variables: Array<WorkflowConversationVariableResponse>
created_at: number
created_by?: SimpleAccount | null
created_by?: SimpleAccountResponse | null
environment_variables: Array<WorkflowEnvironmentVariableResponse>
features: {
[key: string]: unknown
@ -902,7 +902,7 @@ export type WorkflowResponse = {
rag_pipeline_variables: Array<PipelineVariableResponse>
tool_published: boolean
updated_at: number
updated_by?: SimpleAccount | null
updated_by?: SimpleAccountResponse | null
version: string
}
@ -1029,7 +1029,7 @@ export type AgentComposerValidateResponse = {
export type WorkflowRunNodeExecutionResponse = {
created_at?: number | null
created_by_account?: SimpleAccount | null
created_by_account?: SimpleAccountResponse | null
created_by_end_user?: SimpleEndUser | null
created_by_role?: string | null
elapsed_time?: number | null
@ -1223,12 +1223,30 @@ export type DeletedTool = {
}
export type ModelConfig = {
completion_params?: {
[key: string]: unknown
}
mode: LlmMode
name: string
provider: string
agent_mode?: JsonValue | null
annotation_reply?: JsonValue | null
chat_prompt_config?: JsonValue | null
completion_prompt_config?: JsonValue | null
created_at?: number | null
created_by?: string | null
dataset_configs?: JsonValue | null
dataset_query_variable?: string | null
external_data_tools?: JsonValue | null
file_upload?: JsonValue | null
model?: JsonValue | null
more_like_this?: JsonValue | null
opening_statement?: string | null
pre_prompt?: string | null
prompt_type?: string | null
retriever_resource?: JsonValue | null
sensitive_word_avoidance?: JsonValue | null
speech_to_text?: JsonValue | null
suggested_questions?: JsonValue | null
suggested_questions_after_answer?: JsonValue | null
text_to_speech?: JsonValue | null
updated_at?: number | null
updated_by?: string | null
user_input_form?: JsonValue | null
}
export type Site = {
@ -1289,7 +1307,7 @@ export type WorkflowOnlineUsersByApp = {
export type AdvancedChatWorkflowRunForListResponse = {
conversation_id?: string | null
created_at?: number | null
created_by_account?: SimpleAccount | null
created_by_account?: SimpleAccountResponse | null
elapsed_time?: number | null
exceptions_count?: number | null
finished_at?: number | null
@ -1498,7 +1516,6 @@ export type AgentThought = {
created_at?: number | null
files: Array<string>
id: string
message_chain_id?: string | null
message_id: string
observation?: string | null
position: number
@ -1518,8 +1535,8 @@ export type ConversationAnnotation = {
export type ConversationAnnotationHitHistory = {
annotation_create_account?: SimpleAccount | null
annotation_id: string
created_at?: number | null
id: string
}
export type HumanInputContent = {
@ -1596,7 +1613,7 @@ export type UserSatisfactionRateStatisticItem = {
export type WorkflowAppLogPartialResponse = {
created_at?: number | null
created_by_account?: SimpleAccount | null
created_by_account?: SimpleAccountResponse | null
created_by_end_user?: SimpleEndUser | null
created_by_role?: string | null
created_from?: string | null
@ -1607,7 +1624,7 @@ export type WorkflowAppLogPartialResponse = {
export type WorkflowArchivedLogPartialResponse = {
created_at?: number | null
created_by_account?: SimpleAccount | null
created_by_account?: SimpleAccountResponse | null
created_by_end_user?: SimpleEndUser | null
id: string
trigger_metadata?: unknown
@ -1616,7 +1633,7 @@ export type WorkflowArchivedLogPartialResponse = {
export type WorkflowRunForListResponse = {
created_at?: number | null
created_by_account?: SimpleAccount | null
created_by_account?: SimpleAccountResponse | null
elapsed_time?: number | null
exceptions_count?: number | null
finished_at?: number | null
@ -1628,7 +1645,7 @@ export type WorkflowRunForListResponse = {
version?: string | null
}
export type SimpleAccount = {
export type SimpleAccountResponse = {
email: string
id: string
name: string
@ -1671,7 +1688,7 @@ export type WorkflowCommentBasic = {
updated_at?: number | null
}
export type AccountWithRole = {
export type AccountWithRoleResponse = {
avatar?: string | null
created_at?: number | null
email: string
@ -1982,8 +1999,6 @@ export type ModelConfigPartial = {
updated_by?: string | null
}
export type LlmMode = 'chat' | 'completion'
export type Type = 'github' | 'marketplace' | 'package'
export type Github = {
@ -2054,6 +2069,12 @@ export type SimpleMessageDetail = {
query: string
}
export type SimpleAccount = {
email: string
id: string
name: string
}
export type HumanInputFormDefinition = {
actions?: Array<UserActionConfig>
display_in_ui?: boolean

View File

@ -889,6 +889,36 @@ export const zJsonValue = z
*/
export const zGeneratedAppResponse = zJsonValue
/**
* ModelConfig
*/
export const zModelConfig = z.object({
agent_mode: zJsonValue.nullish(),
annotation_reply: zJsonValue.nullish(),
chat_prompt_config: zJsonValue.nullish(),
completion_prompt_config: zJsonValue.nullish(),
created_at: z.int().nullish(),
created_by: z.string().nullish(),
dataset_configs: zJsonValue.nullish(),
dataset_query_variable: z.string().nullish(),
external_data_tools: zJsonValue.nullish(),
file_upload: zJsonValue.nullish(),
model: zJsonValue.nullish(),
more_like_this: zJsonValue.nullish(),
opening_statement: z.string().nullish(),
pre_prompt: z.string().nullish(),
prompt_type: z.string().nullish(),
retriever_resource: zJsonValue.nullish(),
sensitive_word_avoidance: zJsonValue.nullish(),
speech_to_text: zJsonValue.nullish(),
suggested_questions: zJsonValue.nullish(),
suggested_questions_after_answer: zJsonValue.nullish(),
text_to_speech: zJsonValue.nullish(),
updated_at: z.int().nullish(),
updated_by: z.string().nullish(),
user_input_form: zJsonValue.nullish(),
})
/**
* WorkflowPartial
*/
@ -900,6 +930,66 @@ export const zWorkflowPartial = z.object({
updated_by: z.string().nullish(),
})
/**
* AppDetailWithSite
*/
export const zAppDetailWithSite = z.object({
access_mode: z.string().nullish(),
api_base_url: z.string().nullish(),
app_id: z.string().nullish(),
bound_agent_id: z.string().nullish(),
created_at: z.int().nullish(),
created_by: z.string().nullish(),
deleted_tools: z.array(zDeletedTool).optional(),
description: z.string().nullish(),
enable_api: z.boolean(),
enable_site: z.boolean(),
icon: z.string().nullish(),
icon_background: z.string().nullish(),
icon_type: z.string().nullish(),
icon_url: z.string().nullable(),
id: z.string(),
maintainer: z.string().nullish(),
max_active_requests: z.int().nullish(),
mode: z.string(),
model_config: zModelConfig.nullish(),
name: z.string(),
permission_keys: z.array(z.string()).optional(),
site: zSite.nullish(),
tags: z.array(zTag).optional(),
tracing: zJsonValue.nullish(),
updated_at: z.int().nullish(),
updated_by: z.string().nullish(),
use_icon_as_answer_icon: z.boolean().nullish(),
workflow: zWorkflowPartial.nullish(),
})
/**
* AppDetail
*/
export const zAppDetail = z.object({
access_mode: z.string().nullish(),
app_model_config: zModelConfig.nullish(),
created_at: z.int().nullish(),
created_by: z.string().nullish(),
description: z.string().nullish(),
enable_api: z.boolean(),
enable_site: z.boolean(),
icon: z.string().nullish(),
icon_background: z.string().nullish(),
id: z.string(),
maintainer: z.string().nullish(),
mode_compatible_with_agent: z.string(),
name: z.string(),
permission_keys: z.array(z.string()).optional(),
tags: z.array(zTag).optional(),
tracing: zJsonValue.nullish(),
updated_at: z.int().nullish(),
updated_by: z.string().nullish(),
use_icon_as_answer_icon: z.boolean().nullish(),
workflow: zWorkflowPartial.nullish(),
})
/**
* ImportStatus
*/
@ -1118,6 +1208,25 @@ export const zFeedbackStat = z.object({
like: z.int(),
})
/**
* ConversationDetail
*/
export const zConversationDetail = z.object({
admin_feedback_stats: zFeedbackStat.nullish(),
annotated: z.boolean(),
created_at: z.int().nullish(),
from_account_id: z.string().nullish(),
from_end_user_id: z.string().nullish(),
from_source: z.string(),
id: z.string(),
introduction: z.string().nullish(),
message_count: z.int(),
model_config: zModelConfig.nullish(),
status: z.string(),
updated_at: z.int().nullish(),
user_feedback_stats: zFeedbackStat.nullish(),
})
/**
* ConversationVariableResponse
*/
@ -1150,7 +1259,6 @@ export const zAgentThought = z.object({
created_at: z.int().nullish(),
files: z.array(z.string()),
id: z.string(),
message_chain_id: z.string().nullish(),
message_id: z.string(),
observation: z.string().nullish(),
position: z.int(),
@ -1319,9 +1427,9 @@ export const zUserSatisfactionRateStatisticResponse = z.object({
})
/**
* SimpleAccount
* SimpleAccountResponse
*/
export const zSimpleAccount = z.object({
export const zSimpleAccountResponse = z.object({
email: z.string(),
id: z.string(),
name: z.string(),
@ -1333,7 +1441,7 @@ export const zSimpleAccount = z.object({
export const zAdvancedChatWorkflowRunForListResponse = z.object({
conversation_id: z.string().nullish(),
created_at: z.int().nullish(),
created_by_account: zSimpleAccount.nullish(),
created_by_account: zSimpleAccountResponse.nullish(),
elapsed_time: z.number().nullish(),
exceptions_count: z.int().nullish(),
finished_at: z.int().nullish(),
@ -1355,72 +1463,12 @@ export const zAdvancedChatWorkflowRunPaginationResponse = z.object({
limit: z.int(),
})
/**
* ConversationAnnotation
*/
export const zConversationAnnotation = z.object({
account: zSimpleAccount.nullish(),
content: z.string(),
created_at: z.int().nullish(),
id: z.string(),
question: z.string().nullish(),
})
/**
* ConversationAnnotationHitHistory
*/
export const zConversationAnnotationHitHistory = z.object({
annotation_create_account: zSimpleAccount.nullish(),
created_at: z.int().nullish(),
id: z.string(),
})
/**
* Feedback
*/
export const zFeedback = z.object({
content: z.string().nullish(),
from_account: zSimpleAccount.nullish(),
from_end_user_id: z.string().nullish(),
from_source: z.string(),
rating: z.string(),
})
/**
* MessageDetail
*/
export const zMessageDetail = z.object({
agent_thoughts: z.array(zAgentThought),
annotation: zConversationAnnotation.nullish(),
annotation_hit_history: zConversationAnnotationHitHistory.nullish(),
answer_tokens: z.int(),
conversation_id: z.string(),
created_at: z.int().nullish(),
error: z.string().nullish(),
feedbacks: z.array(zFeedback),
from_account_id: z.string().nullish(),
from_end_user_id: z.string().nullish(),
from_source: z.string(),
id: z.string(),
inputs: z.record(z.string(), zJsonValue),
message: zJsonValue,
message_files: z.array(zMessageFile),
message_metadata_dict: zJsonValue,
message_tokens: z.int(),
parent_message_id: z.string().nullish(),
provider_response_latency: z.number(),
query: z.string(),
re_sign_file_url_answer: z.string(),
status: z.string(),
workflow_run_id: z.string().nullish(),
})
/**
* WorkflowRunForListResponse
*/
export const zWorkflowRunForListResponse = z.object({
created_at: z.int().nullish(),
created_by_account: zSimpleAccount.nullish(),
created_by_account: zSimpleAccountResponse.nullish(),
elapsed_time: z.number().nullish(),
exceptions_count: z.int().nullish(),
finished_at: z.int().nullish(),
@ -1456,7 +1504,7 @@ export const zSimpleEndUser = z.object({
*/
export const zWorkflowRunDetailResponse = z.object({
created_at: z.int().nullish(),
created_by_account: zSimpleAccount.nullish(),
created_by_account: zSimpleAccountResponse.nullish(),
created_by_end_user: zSimpleEndUser.nullish(),
created_by_role: z.string().nullish(),
elapsed_time: z.number().nullish(),
@ -1478,7 +1526,7 @@ export const zWorkflowRunDetailResponse = z.object({
*/
export const zWorkflowRunNodeExecutionResponse = z.object({
created_at: z.int().nullish(),
created_by_account: zSimpleAccount.nullish(),
created_by_account: zSimpleAccountResponse.nullish(),
created_by_end_user: zSimpleEndUser.nullish(),
created_by_role: z.string().nullish(),
elapsed_time: z.number().nullish(),
@ -1544,9 +1592,9 @@ export const zSandboxUploadResponse = z.object({
})
/**
* AccountWithRole
* AccountWithRoleResponse
*/
export const zAccountWithRole = z.object({
export const zAccountWithRoleResponse = z.object({
avatar: z.string().nullish(),
created_at: z.int().nullish(),
email: z.string(),
@ -1563,7 +1611,7 @@ export const zAccountWithRole = z.object({
* WorkflowCommentMentionUsersPayload
*/
export const zWorkflowCommentMentionUsersPayload = z.object({
users: z.array(zAccountWithRole),
users: z.array(zAccountWithRoleResponse),
})
/**
@ -1752,7 +1800,7 @@ export const zPipelineVariableResponse = z.object({
export const zWorkflowResponse = z.object({
conversation_variables: z.array(zWorkflowConversationVariableResponse),
created_at: z.int(),
created_by: zSimpleAccount.nullish(),
created_by: zSimpleAccountResponse.nullish(),
environment_variables: z.array(zWorkflowEnvironmentVariableResponse),
features: z.record(z.string(), z.unknown()),
graph: z.record(z.string(), z.unknown()),
@ -1763,7 +1811,7 @@ export const zWorkflowResponse = z.object({
rag_pipeline_variables: z.array(zPipelineVariableResponse),
tool_published: z.boolean(),
updated_at: z.int(),
updated_by: zSimpleAccount.nullish(),
updated_by: zSimpleAccountResponse.nullish(),
version: z.string(),
})
@ -2056,116 +2104,6 @@ export const zAppPagination = z.object({
total: z.int(),
})
/**
* LLMMode
*
* Enum class for large language model mode.
*/
export const zLlmMode = z.enum(['chat', 'completion'])
/**
* ModelConfig
*/
export const zModelConfig = z.object({
completion_params: z.record(z.string(), z.unknown()).optional(),
mode: zLlmMode,
name: z.string(),
provider: z.string(),
})
/**
* AppDetailWithSite
*/
export const zAppDetailWithSite = z.object({
access_mode: z.string().nullish(),
api_base_url: z.string().nullish(),
app_id: z.string().nullish(),
bound_agent_id: z.string().nullish(),
created_at: z.int().nullish(),
created_by: z.string().nullish(),
deleted_tools: z.array(zDeletedTool).optional(),
description: z.string().nullish(),
enable_api: z.boolean(),
enable_site: z.boolean(),
icon: z.string().nullish(),
icon_background: z.string().nullish(),
icon_type: z.string().nullish(),
icon_url: z.string().nullable(),
id: z.string(),
maintainer: z.string().nullish(),
max_active_requests: z.int().nullish(),
mode: z.string(),
model_config: zModelConfig.nullish(),
name: z.string(),
permission_keys: z.array(z.string()).optional(),
site: zSite.nullish(),
tags: z.array(zTag).optional(),
tracing: zJsonValue.nullish(),
updated_at: z.int().nullish(),
updated_by: z.string().nullish(),
use_icon_as_answer_icon: z.boolean().nullish(),
workflow: zWorkflowPartial.nullish(),
})
/**
* AppDetail
*/
export const zAppDetail = z.object({
access_mode: z.string().nullish(),
app_model_config: zModelConfig.nullish(),
created_at: z.int().nullish(),
created_by: z.string().nullish(),
description: z.string().nullish(),
enable_api: z.boolean(),
enable_site: z.boolean(),
icon: z.string().nullish(),
icon_background: z.string().nullish(),
id: z.string(),
maintainer: z.string().nullish(),
mode_compatible_with_agent: z.string(),
name: z.string(),
permission_keys: z.array(z.string()).optional(),
tags: z.array(zTag).optional(),
tracing: zJsonValue.nullish(),
updated_at: z.int().nullish(),
updated_by: z.string().nullish(),
use_icon_as_answer_icon: z.boolean().nullish(),
workflow: zWorkflowPartial.nullish(),
})
/**
* ConversationDetail
*/
export const zConversationDetail = z.object({
admin_feedback_stats: zFeedbackStat.nullish(),
annotated: z.boolean(),
created_at: z.int().nullish(),
from_account_id: z.string().nullish(),
from_end_user_id: z.string().nullish(),
from_source: z.string(),
id: z.string(),
introduction: z.string().nullish(),
message_count: z.int(),
model_config: zModelConfig.nullish(),
status: z.string(),
updated_at: z.int().nullish(),
user_feedback_stats: zFeedbackStat.nullish(),
})
/**
* ConversationMessageDetail
*/
export const zConversationMessageDetail = z.object({
created_at: z.int().nullish(),
first_message: zMessageDetail.nullish(),
from_account_id: z.string().nullish(),
from_end_user_id: z.string().nullish(),
from_source: z.string(),
id: z.string(),
model_config: zModelConfig.nullish(),
status: z.string(),
})
/**
* Type
*/
@ -2366,6 +2304,26 @@ export const zSimpleMessageDetail = z.object({
query: z.string(),
})
/**
* SimpleAccount
*/
export const zSimpleAccount = z.object({
email: z.string(),
id: z.string(),
name: z.string(),
})
/**
* ConversationAnnotation
*/
export const zConversationAnnotation = z.object({
account: zSimpleAccount.nullish(),
content: z.string(),
created_at: z.int().nullish(),
id: z.string(),
question: z.string().nullish(),
})
/**
* Conversation
*/
@ -2398,6 +2356,69 @@ export const zConversationPagination = z.object({
total: z.int(),
})
/**
* ConversationAnnotationHitHistory
*/
export const zConversationAnnotationHitHistory = z.object({
annotation_create_account: zSimpleAccount.nullish(),
annotation_id: z.string(),
created_at: z.int().nullish(),
})
/**
* Feedback
*/
export const zFeedback = z.object({
content: z.string().nullish(),
from_account: zSimpleAccount.nullish(),
from_end_user_id: z.string().nullish(),
from_source: z.string(),
rating: z.string(),
})
/**
* MessageDetail
*/
export const zMessageDetail = z.object({
agent_thoughts: z.array(zAgentThought),
annotation: zConversationAnnotation.nullish(),
annotation_hit_history: zConversationAnnotationHitHistory.nullish(),
answer_tokens: z.int(),
conversation_id: z.string(),
created_at: z.int().nullish(),
error: z.string().nullish(),
feedbacks: z.array(zFeedback),
from_account_id: z.string().nullish(),
from_end_user_id: z.string().nullish(),
from_source: z.string(),
id: z.string(),
inputs: z.record(z.string(), zJsonValue),
message: zJsonValue,
message_files: z.array(zMessageFile),
message_metadata_dict: zJsonValue,
message_tokens: z.int(),
parent_message_id: z.string().nullish(),
provider_response_latency: z.number(),
query: z.string(),
re_sign_file_url_answer: z.string(),
status: z.string(),
workflow_run_id: z.string().nullish(),
})
/**
* ConversationMessageDetail
*/
export const zConversationMessageDetail = z.object({
created_at: z.int().nullish(),
first_message: zMessageDetail.nullish(),
from_account_id: z.string().nullish(),
from_end_user_id: z.string().nullish(),
from_source: z.string(),
id: z.string(),
model_config: zModelConfig.nullish(),
status: z.string(),
})
/**
* ExecutionContentType
*/
@ -2425,7 +2446,7 @@ export const zWorkflowRunForLogResponse = z.object({
*/
export const zWorkflowAppLogPartialResponse = z.object({
created_at: z.int().nullish(),
created_by_account: zSimpleAccount.nullish(),
created_by_account: zSimpleAccountResponse.nullish(),
created_by_end_user: zSimpleEndUser.nullish(),
created_by_role: z.string().nullish(),
created_from: z.string().nullish(),
@ -2461,7 +2482,7 @@ export const zWorkflowRunForArchivedLogResponse = z.object({
*/
export const zWorkflowArchivedLogPartialResponse = z.object({
created_at: z.int().nullish(),
created_by_account: zSimpleAccount.nullish(),
created_by_account: zSimpleAccountResponse.nullish(),
created_by_end_user: zSimpleEndUser.nullish(),
id: z.string(),
trigger_metadata: z.unknown().optional(),
@ -3455,6 +3476,7 @@ export const zMessageDetailResponse = z.object({
agent_thoughts: z.array(zAgentThought).optional(),
annotation: zConversationAnnotation.nullish(),
annotation_hit_history: zConversationAnnotationHitHistory.nullish(),
answer: z.string(),
answer_tokens: z.int().nullish(),
conversation_id: z.string(),
created_at: z.int().nullish(),
@ -3468,12 +3490,11 @@ export const zMessageDetailResponse = z.object({
inputs: z.record(z.string(), zJsonValue),
message: zJsonValue.nullish(),
message_files: z.array(zMessageFile).optional(),
message_metadata_dict: zJsonValue.nullish(),
message_tokens: z.int().nullish(),
metadata: zJsonValue.nullish(),
parent_message_id: z.string().nullish(),
provider_response_latency: z.number().nullish(),
query: z.string(),
re_sign_file_url_answer: z.string(),
status: z.string(),
workflow_run_id: z.string().nullish(),
})

View File

@ -146,9 +146,6 @@ import {
zPostDatasetsByDatasetIdDocumentsByDocumentIdSegmentsBySegmentIdChildChunksBody,
zPostDatasetsByDatasetIdDocumentsByDocumentIdSegmentsBySegmentIdChildChunksPath,
zPostDatasetsByDatasetIdDocumentsByDocumentIdSegmentsBySegmentIdChildChunksResponse,
zPostDatasetsByDatasetIdDocumentsDownloadZipBody,
zPostDatasetsByDatasetIdDocumentsDownloadZipPath,
zPostDatasetsByDatasetIdDocumentsDownloadZipResponse,
zPostDatasetsByDatasetIdDocumentsGenerateSummaryBody,
zPostDatasetsByDatasetIdDocumentsGenerateSummaryPath,
zPostDatasetsByDatasetIdDocumentsGenerateSummaryResponse,
@ -359,8 +356,12 @@ export const get5 = oc
.input(z.object({ params: zGetDatasetsExternalKnowledgeApiByExternalKnowledgeApiIdPath }))
.output(zGetDatasetsExternalKnowledgeApiByExternalKnowledgeApiIdResponse)
/**
* Update external knowledge API template
*/
export const patch = oc
.route({
description: 'Update external knowledge API template',
inputStructure: 'detailed',
method: 'PATCH',
operationId: 'patchDatasetsExternalKnowledgeApiByExternalKnowledgeApiId',
@ -397,8 +398,12 @@ export const get6 = oc
.input(z.object({ query: zGetDatasetsExternalKnowledgeApiQuery.optional() }))
.output(zGetDatasetsExternalKnowledgeApiResponse)
/**
* Create external knowledge API template
*/
export const post4 = oc
.route({
description: 'Create external knowledge API template',
inputStructure: 'detailed',
method: 'POST',
operationId: 'postDatasetsExternalKnowledgeApi',
@ -444,7 +449,6 @@ export const post6 = oc
method: 'POST',
operationId: 'postDatasetsInit',
path: '/datasets/init',
successStatus: 201,
tags: ['console'],
})
.input(z.object({ body: zPostDatasetsInitBody }))
@ -621,33 +625,6 @@ export const batch = {
byBatch,
}
/**
* Stream a ZIP archive containing the requested uploaded documents
*
* Download selected dataset documents as a single ZIP archive (upload-file only)
*/
export const post9 = oc
.route({
description: 'Download selected dataset documents as a single ZIP archive (upload-file only)',
inputStructure: 'detailed',
method: 'POST',
operationId: 'postDatasetsByDatasetIdDocumentsDownloadZip',
path: '/datasets/{dataset_id}/documents/download-zip',
summary: 'Stream a ZIP archive containing the requested uploaded documents',
tags: ['console'],
})
.input(
z.object({
body: zPostDatasetsByDatasetIdDocumentsDownloadZipBody,
params: zPostDatasetsByDatasetIdDocumentsDownloadZipPath,
}),
)
.output(zPostDatasetsByDatasetIdDocumentsDownloadZipResponse)
export const downloadZip = {
post: post9,
}
/**
* Generate summary index for specified documents
*
@ -656,7 +633,7 @@ export const downloadZip = {
* (indexing_technique must be 'high_quality' and summary_index_setting.enable must be true),
* then asynchronously generates summary indexes for the provided documents.
*/
export const post10 = oc
export const post9 = oc
.route({
description:
'Generate summary index for documents\nThis endpoint checks if the dataset configuration supports summary generation\n(indexing_technique must be \'high_quality\' and summary_index_setting.enable must be true),\nthen asynchronously generates summary indexes for the provided documents.',
@ -676,10 +653,10 @@ export const post10 = oc
.output(zPostDatasetsByDatasetIdDocumentsGenerateSummaryResponse)
export const generateSummary = {
post: post10,
post: post9,
}
export const post11 = oc
export const post10 = oc
.route({
inputStructure: 'detailed',
method: 'POST',
@ -697,7 +674,7 @@ export const post11 = oc
.output(zPostDatasetsByDatasetIdDocumentsMetadataResponse)
export const metadata2 = {
post: post11,
post: post10,
}
export const patch2 = oc
@ -903,7 +880,7 @@ export const processing = {
byAction: byAction2,
}
export const post12 = oc
export const post11 = oc
.route({
inputStructure: 'detailed',
method: 'POST',
@ -920,7 +897,7 @@ export const post12 = oc
.output(zPostDatasetsByDatasetIdDocumentsByDocumentIdRenameResponse)
export const rename = {
post: post12,
post: post11,
}
export const patch6 = oc
@ -943,7 +920,7 @@ export const byAction3 = {
patch: patch6,
}
export const post13 = oc
export const post12 = oc
.route({
inputStructure: 'detailed',
method: 'POST',
@ -960,7 +937,7 @@ export const post13 = oc
.output(zPostDatasetsByDatasetIdDocumentsByDocumentIdSegmentResponse)
export const segment = {
post: post13,
post: post12,
byAction: byAction3,
}
@ -975,7 +952,7 @@ export const get19 = oc
.input(z.object({ params: zGetDatasetsByDatasetIdDocumentsByDocumentIdSegmentsBatchImportPath }))
.output(zGetDatasetsByDatasetIdDocumentsByDocumentIdSegmentsBatchImportResponse)
export const post14 = oc
export const post13 = oc
.route({
inputStructure: 'detailed',
method: 'POST',
@ -993,7 +970,7 @@ export const post14 = oc
export const batchImport = {
get: get19,
post: post14,
post: post13,
}
export const delete3 = oc
@ -1074,7 +1051,7 @@ export const patch8 = oc
)
.output(zPatchDatasetsByDatasetIdDocumentsByDocumentIdSegmentsBySegmentIdChildChunksResponse)
export const post15 = oc
export const post14 = oc
.route({
inputStructure: 'detailed',
method: 'POST',
@ -1093,7 +1070,7 @@ export const post15 = oc
export const childChunks = {
get: get20,
patch: patch8,
post: post15,
post: post14,
byChildChunkId,
}
@ -1184,12 +1161,13 @@ export const segments = {
* - generating: Number of summaries being generated
* - error: Number of summaries with errors
* - not_started: Number of segments without summary records
* - timeout: Number of summaries that timed out
* - summaries: List of summary records with status and content preview
*/
export const get22 = oc
.route({
description:
'Get summary index generation status for a document\nReturns:\n- total_segments: Total number of segments in the document\n- summary_status: Dictionary with status counts\n - completed: Number of summaries completed\n - generating: Number of summaries being generated\n - error: Number of summaries with errors\n - not_started: Number of segments without summary records\n- summaries: List of summary records with status and content preview',
'Get summary index generation status for a document\nReturns:\n- total_segments: Total number of segments in the document\n- summary_status: Dictionary with status counts\n - completed: Number of summaries completed\n - generating: Number of summaries being generated\n - error: Number of summaries with errors\n - not_started: Number of segments without summary records\n - timeout: Number of summaries that timed out\n- summaries: List of summary records with status and content preview',
inputStructure: 'detailed',
method: 'GET',
operationId: 'getDatasetsByDatasetIdDocumentsByDocumentIdSummaryStatus',
@ -1304,7 +1282,7 @@ export const get25 = oc
)
.output(zGetDatasetsByDatasetIdDocumentsResponse)
export const post16 = oc
export const post15 = oc
.route({
inputStructure: 'detailed',
method: 'POST',
@ -1323,8 +1301,7 @@ export const post16 = oc
export const documents = {
delete: delete7,
get: get25,
post: post16,
downloadZip,
post: post15,
generateSummary,
metadata: metadata2,
status,
@ -1353,7 +1330,7 @@ export const errorDocs = {
/**
* Test external knowledge retrieval for dataset
*/
export const post17 = oc
export const post16 = oc
.route({
description: 'Test external knowledge retrieval for dataset',
inputStructure: 'detailed',
@ -1371,13 +1348,13 @@ export const post17 = oc
.output(zPostDatasetsByDatasetIdExternalHitTestingResponse)
export const externalHitTesting = {
post: post17,
post: post16,
}
/**
* Test dataset knowledge retrieval
*/
export const post18 = oc
export const post17 = oc
.route({
description: 'Test dataset knowledge retrieval',
inputStructure: 'detailed',
@ -1395,7 +1372,7 @@ export const post18 = oc
.output(zPostDatasetsByDatasetIdHitTestingResponse)
export const hitTesting = {
post: post18,
post: post17,
}
/**
@ -1417,7 +1394,7 @@ export const indexingStatus3 = {
get: get27,
}
export const post19 = oc
export const post18 = oc
.route({
inputStructure: 'detailed',
method: 'POST',
@ -1430,7 +1407,7 @@ export const post19 = oc
.output(zPostDatasetsByDatasetIdMetadataBuiltInByActionResponse)
export const byAction4 = {
post: post19,
post: post18,
}
export const builtIn2 = {
@ -1481,7 +1458,7 @@ export const get28 = oc
.input(z.object({ params: zGetDatasetsByDatasetIdMetadataPath }))
.output(zGetDatasetsByDatasetIdMetadataResponse)
export const post20 = oc
export const post19 = oc
.route({
inputStructure: 'detailed',
method: 'POST',
@ -1500,7 +1477,7 @@ export const post20 = oc
export const metadata4 = {
get: get28,
post: post20,
post: post19,
builtIn: builtIn2,
byMetadataId,
}
@ -1584,7 +1561,7 @@ export const relatedApps = {
/**
* retry document
*/
export const post21 = oc
export const post20 = oc
.route({
inputStructure: 'detailed',
method: 'POST',
@ -1603,7 +1580,7 @@ export const post21 = oc
.output(zPostDatasetsByDatasetIdRetryResponse)
export const retry = {
post: post21,
post: post20,
}
/**
@ -1734,7 +1711,7 @@ export const get35 = oc
*
* Create a new API key for a dataset
*/
export const post22 = oc
export const post21 = oc
.route({
description: 'Create a new API key for a dataset',
inputStructure: 'detailed',
@ -1750,7 +1727,7 @@ export const post22 = oc
export const apiKeys3 = {
get: get35,
post: post22,
post: post21,
byApiKeyId: byApiKeyId2,
}
@ -1776,7 +1753,7 @@ export const get36 = oc
/**
* Create a new dataset
*/
export const post23 = oc
export const post22 = oc
.route({
description: 'Create a new dataset',
inputStructure: 'detailed',
@ -1791,7 +1768,7 @@ export const post23 = oc
export const datasets = {
get: get36,
post: post23,
post: post22,
apiBaseInfo,
apiKeys,
batchImportStatus,

View File

@ -97,51 +97,12 @@ export type ExternalDatasetCreatePayload = {
name: string
}
export type DatasetDetail = {
app_count?: number
author_name?: string
built_in_field_enabled?: boolean
chunk_structure?: string
created_at?: number
created_by?: string
data_source_type?: string
description?: string
doc_form?: string
doc_metadata?: Array<DatasetDocMetadata>
document_count?: number
embedding_available?: boolean
embedding_model?: string
embedding_model_provider?: string
enable_api?: boolean
external_knowledge_info?: ExternalKnowledgeInfo
external_retrieval_model?: ExternalRetrievalModel
icon_info?: DatasetIconInfo
id?: string
indexing_technique?: string
is_multimodal?: boolean
is_published?: boolean
name?: string
permission?: string
permission_keys?: Array<string>
pipeline_id?: string
provider?: string
retrieval_model_dict?: DatasetRetrievalModel
runtime_mode?: string
summary_index_setting?: AnonymousInlineModelB1954337D565
tags?: Array<Tag>
total_available_documents?: number
total_documents?: number
updated_at?: number
updated_by?: string
word_count?: number
}
export type ExternalKnowledgeApiListResponse = {
data: Array<ExternalKnowledgeApiResponse>
has_more: boolean
limit: number
page: number
total: number
total: number | null
}
export type ExternalKnowledgeApiPayload = {
@ -154,11 +115,11 @@ export type ExternalKnowledgeApiPayload = {
export type ExternalKnowledgeApiResponse = {
created_at: string
created_by: string
dataset_bindings?: Array<ExternalKnowledgeDatasetBindingResponse>
dataset_bindings: Array<ExternalKnowledgeApiBindingResponse>
description: string
id: string
name: string
settings?: {
settings: {
[key: string]: unknown
} | null
tenant_id: string
@ -183,8 +144,11 @@ export type IndexingEstimatePayload = {
}
export type IndexingEstimateResponse = {
preview: Array<IndexingEstimatePreviewItemResponse>
qa_preview?: Array<IndexingEstimateQaPreviewItemResponse> | null
currency: string
preview: Array<PreviewDetail>
qa_preview?: Array<QaPreviewDetail> | null
tokens: number
total_price: number | number
total_segments: number
}
@ -236,8 +200,12 @@ export type IndexingEstimate = {
total_segments: number
}
export type OpaqueObjectResponse = {
[key: string]: unknown
export type ProcessRuleResponse = {
limits: {
[key: string]: unknown
}
mode: ProcessRuleMode
rules?: Rule | null
}
export type RetrievalSettingResponse = {
@ -333,12 +301,6 @@ export type DocumentWithSegmentsListResponse = {
total: number
}
export type DocumentBatchDownloadZipPayload = {
document_ids: Array<string>
}
export type BinaryFileResponse = Blob | File
export type GenerateSummaryPayload = {
document_list: Array<string>
}
@ -347,6 +309,40 @@ export type MetadataOperationData = {
operation_data: Array<DocumentMetadataOperation>
}
export type DocumentDetailResponse = {
archived?: boolean | null
average_segment_length?: number | null
completed_at?: number | null
created_at?: number | null
created_by?: string | null
created_from?: string | null
data_source_detail_dict?: unknown
data_source_info?: unknown
data_source_type?: string | null
dataset_process_rule?: unknown
dataset_process_rule_id?: string | null
disabled_at?: number | null
disabled_by?: string | null
display_status?: string | null
doc_form?: string | null
doc_language?: string | null
doc_metadata?: Array<DocumentMetadataResponse> | null
doc_type?: string | null
document_process_rule?: unknown
enabled?: boolean | null
error?: string | null
hit_count?: number | null
id: string
indexing_latency?: number | null
indexing_status?: string | null
name?: string | null
need_summary?: boolean | null
position?: number | null
segment_count?: number | null
tokens?: number | null
updated_at?: number | null
}
export type UrlResponse = {
url: string
}
@ -376,6 +372,13 @@ export type SimpleResultMessageResponse = {
result: string
}
export type DocumentPipelineExecutionLogResponse = {
datasource_info?: JsonValue | null
datasource_node_id?: string | null
datasource_type?: string | null
input_data?: JsonValue | null
}
export type DocumentRenamePayload = {
name: string
}
@ -464,6 +467,12 @@ export type ChildChunkUpdatePayload = {
content: string
}
export type DocumentSummaryStatusResponse = {
summaries: Array<SummaryEntryResponse>
summary_status: SummaryStatusResponse
total_segments: number
}
export type ErrorDocsResponse = {
data: Array<DocumentStatusResponse>
total: number
@ -479,13 +488,10 @@ export type ExternalHitTestingPayload = {
query: string
}
export type ExternalRetrievalTestResponse
= | {
[key: string]: unknown
}
| Array<{
[key: string]: unknown
}>
export type ExternalHitTestingResponse = {
query: ExternalHitTestingQueryResponse
records: Array<ExternalHitTestingRecordResponse>
}
export type HitTestingPayload = {
attachment_ids?: Array<string> | null
@ -641,68 +647,18 @@ export type DatasetTagResponse = {
type: string
}
export type DatasetDocMetadata = {
id?: string
name?: string
type?: string
}
export type ExternalKnowledgeInfo = {
external_knowledge_api_endpoint?: string
external_knowledge_api_id?: string
external_knowledge_api_name?: string
external_knowledge_id?: string
}
export type ExternalRetrievalModel = {
score_threshold?: number
score_threshold_enabled?: boolean
top_k?: number
}
export type DatasetIconInfo = {
icon?: string
icon_background?: string
icon_type?: string
icon_url?: string
}
export type DatasetRetrievalModel = {
reranking_enable?: boolean
reranking_mode?: string
reranking_model?: DatasetRerankingModel
score_threshold?: number
score_threshold_enabled?: boolean
search_method?: string
top_k?: number
weights?: DatasetWeightedScore
}
export type AnonymousInlineModelB1954337D565 = {
enable?: boolean
model_name?: string
model_provider_name?: string
summary_prompt?: string
}
export type Tag = {
id: string
name: string
type: string
}
export type ExternalKnowledgeDatasetBindingResponse = {
export type ExternalKnowledgeApiBindingResponse = {
id: string
name: string
}
export type IndexingEstimatePreviewItemResponse = {
export type PreviewDetail = {
child_chunks?: Array<string> | null
content: string
summary?: string | null
}
export type IndexingEstimateQaPreviewItemResponse = {
export type QaPreviewDetail = {
answer: string
question: string
}
@ -744,15 +700,13 @@ export type DatasetMetadataBuiltInFieldResponse = {
type: string
}
export type PreviewDetail = {
child_chunks?: Array<string> | null
content: string
summary?: string | null
}
export type ProcessRuleMode = 'automatic' | 'custom' | 'hierarchical'
export type QaPreviewDetail = {
answer: string
question: string
export type Rule = {
parent_mode?: 'full-doc' | 'paragraph' | null
pre_processing_rules?: Array<PreProcessingRule> | null
segmentation?: Segmentation | null
subchunk_segmentation?: Segmentation | null
}
export type DocumentWithSegmentsResponse = {
@ -798,6 +752,8 @@ export type DocumentMetadataResponse = {
value?: string | number | number | boolean | null
}
export type JsonValue = unknown
export type SegmentResponse = {
answer: string | null
attachments: Array<SegmentAttachmentResponse>
@ -844,6 +800,37 @@ export type ChildChunkUpdateArgs = {
id?: string | null
}
export type SummaryEntryResponse = {
created_at?: number | null
error?: string | null
segment_id: string
segment_position: number
status: string
summary_preview?: string | null
updated_at?: number | null
}
export type SummaryStatusResponse = {
completed?: number
error?: number
generating?: number
not_started?: number
timeout?: number
}
export type ExternalHitTestingQueryResponse = {
content: string
}
export type ExternalHitTestingRecordResponse = {
content?: string | null
metadata?: {
[key: string]: unknown
} | null
score?: number | null
title?: string | null
}
export type HitTestingQuery = {
content: string
}
@ -896,17 +883,6 @@ export type DatasetWeightedScoreResponse = {
weight_type?: string | null
}
export type DatasetRerankingModel = {
reranking_model_name?: string
reranking_provider_name?: string
}
export type DatasetWeightedScore = {
keyword_setting?: DatasetKeywordSetting
vector_setting?: DatasetVectorSetting
weight_type?: string
}
export type InfoList = {
data_source_type: 'notion_import' | 'upload_file' | 'website_crawl'
file_info_list?: FileInfo | null
@ -914,15 +890,6 @@ export type InfoList = {
website_info_list?: WebsiteInfo | null
}
export type ProcessRuleMode = 'automatic' | 'custom' | 'hierarchical'
export type Rule = {
parent_mode?: 'full-doc' | 'paragraph' | null
pre_processing_rules?: Array<PreProcessingRule> | null
segmentation?: Segmentation | null
subchunk_segmentation?: Segmentation | null
}
export type MetadataFilteringCondition = {
conditions?: Array<Condition> | null
logical_operator?: 'and' | 'or' | null
@ -945,6 +912,17 @@ export type WeightModel = {
weight_type?: 'customized' | 'keyword_first' | 'semantic_first' | null
}
export type PreProcessingRule = {
enabled: boolean
id: 'remove_extra_spaces' | 'remove_stopwords' | 'remove_urls_emails'
}
export type Segmentation = {
chunk_overlap?: number
max_tokens: number
separator?: string
}
export type MetadataDetail = {
id: string
name: string
@ -1018,16 +996,6 @@ export type DatasetVectorSettingResponse = {
vector_weight?: number | null
}
export type DatasetKeywordSetting = {
keyword_weight?: number
}
export type DatasetVectorSetting = {
embedding_model_name?: string
embedding_provider_name?: string
vector_weight?: number
}
export type FileInfo = {
file_ids: Array<string>
}
@ -1045,17 +1013,6 @@ export type WebsiteInfo = {
urls: Array<string>
}
export type PreProcessingRule = {
enabled: boolean
id: 'remove_extra_spaces' | 'remove_stopwords' | 'remove_urls_emails'
}
export type Segmentation = {
chunk_overlap?: number
max_tokens: number
separator?: string
}
export type Condition = {
comparison_operator:
| '<'
@ -1264,7 +1221,7 @@ export type PostDatasetsExternalErrors = {
}
export type PostDatasetsExternalResponses = {
201: DatasetDetail
201: DatasetDetailResponse
}
export type PostDatasetsExternalResponse
@ -1295,6 +1252,10 @@ export type PostDatasetsExternalKnowledgeApiData = {
url: '/datasets/external-knowledge-api'
}
export type PostDatasetsExternalKnowledgeApiErrors = {
403: unknown
}
export type PostDatasetsExternalKnowledgeApiResponses = {
201: ExternalKnowledgeApiResponse
}
@ -1347,6 +1308,10 @@ export type PatchDatasetsExternalKnowledgeApiByExternalKnowledgeApiIdData = {
url: '/datasets/external-knowledge-api/{external_knowledge_api_id}'
}
export type PatchDatasetsExternalKnowledgeApiByExternalKnowledgeApiIdErrors = {
404: unknown
}
export type PatchDatasetsExternalKnowledgeApiByExternalKnowledgeApiIdResponses = {
200: ExternalKnowledgeApiResponse
}
@ -1396,7 +1361,7 @@ export type PostDatasetsInitErrors = {
}
export type PostDatasetsInitResponses = {
201: DatasetAndDocumentResponse
200: DatasetAndDocumentResponse
}
export type PostDatasetsInitResponse = PostDatasetsInitResponses[keyof PostDatasetsInitResponses]
@ -1439,7 +1404,7 @@ export type GetDatasetsProcessRuleData = {
}
export type GetDatasetsProcessRuleResponses = {
200: OpaqueObjectResponse
200: ProcessRuleResponse
}
export type GetDatasetsProcessRuleResponse
@ -1581,7 +1546,7 @@ export type GetDatasetsByDatasetIdBatchByBatchIndexingEstimateData = {
}
export type GetDatasetsByDatasetIdBatchByBatchIndexingEstimateResponses = {
200: OpaqueObjectResponse
200: IndexingEstimateResponse
}
export type GetDatasetsByDatasetIdBatchByBatchIndexingEstimateResponse
@ -1659,22 +1624,6 @@ export type PostDatasetsByDatasetIdDocumentsResponses = {
export type PostDatasetsByDatasetIdDocumentsResponse
= PostDatasetsByDatasetIdDocumentsResponses[keyof PostDatasetsByDatasetIdDocumentsResponses]
export type PostDatasetsByDatasetIdDocumentsDownloadZipData = {
body: DocumentBatchDownloadZipPayload
path: {
dataset_id: string
}
query?: never
url: '/datasets/{dataset_id}/documents/download-zip'
}
export type PostDatasetsByDatasetIdDocumentsDownloadZipResponses = {
200: BinaryFileResponse
}
export type PostDatasetsByDatasetIdDocumentsDownloadZipResponse
= PostDatasetsByDatasetIdDocumentsDownloadZipResponses[keyof PostDatasetsByDatasetIdDocumentsDownloadZipResponses]
export type PostDatasetsByDatasetIdDocumentsGenerateSummaryData = {
body: GenerateSummaryPayload
path: {
@ -1764,7 +1713,7 @@ export type GetDatasetsByDatasetIdDocumentsByDocumentIdErrors = {
}
export type GetDatasetsByDatasetIdDocumentsByDocumentIdResponses = {
200: OpaqueObjectResponse
200: DocumentDetailResponse
}
export type GetDatasetsByDatasetIdDocumentsByDocumentIdResponse
@ -1803,7 +1752,7 @@ export type GetDatasetsByDatasetIdDocumentsByDocumentIdIndexingEstimateErrors =
}
export type GetDatasetsByDatasetIdDocumentsByDocumentIdIndexingEstimateResponses = {
200: OpaqueObjectResponse
200: IndexingEstimateResponse
}
export type GetDatasetsByDatasetIdDocumentsByDocumentIdIndexingEstimateResponse
@ -1880,7 +1829,7 @@ export type GetDatasetsByDatasetIdDocumentsByDocumentIdPipelineExecutionLogData
}
export type GetDatasetsByDatasetIdDocumentsByDocumentIdPipelineExecutionLogResponses = {
200: OpaqueObjectResponse
200: DocumentPipelineExecutionLogResponse
}
export type GetDatasetsByDatasetIdDocumentsByDocumentIdPipelineExecutionLogResponse
@ -2225,7 +2174,7 @@ export type GetDatasetsByDatasetIdDocumentsByDocumentIdSummaryStatusErrors = {
}
export type GetDatasetsByDatasetIdDocumentsByDocumentIdSummaryStatusResponses = {
200: OpaqueObjectResponse
200: DocumentSummaryStatusResponse
}
export type GetDatasetsByDatasetIdDocumentsByDocumentIdSummaryStatusResponse
@ -2283,7 +2232,7 @@ export type PostDatasetsByDatasetIdExternalHitTestingErrors = {
}
export type PostDatasetsByDatasetIdExternalHitTestingResponses = {
200: ExternalRetrievalTestResponse
200: ExternalHitTestingResponse
}
export type PostDatasetsByDatasetIdExternalHitTestingResponse

View File

@ -91,11 +91,6 @@ export const zNotionEstimatePayload = z.object({
process_rule: z.record(z.string(), z.unknown()),
})
/**
* OpaqueObjectResponse
*/
export const zOpaqueObjectResponse = z.record(z.string(), z.unknown())
/**
* RetrievalSettingResponse
*/
@ -118,20 +113,6 @@ export const zAutoDisableLogsResponse = z.object({
document_ids: z.array(z.string()),
})
/**
* DocumentBatchDownloadZipPayload
*
* Request payload for bulk downloading documents as a zip archive.
*/
export const zDocumentBatchDownloadZipPayload = z.object({
document_ids: z.array(z.uuid()).min(1).max(100),
})
/**
* BinaryFileResponse
*/
export const zBinaryFileResponse = z.custom<Blob | File>()
/**
* GenerateSummaryPayload
*/
@ -247,14 +228,6 @@ export const zExternalHitTestingPayload = z.object({
query: z.string(),
})
/**
* ExternalRetrievalTestResponse
*/
export const zExternalRetrievalTestResponse = z.union([
z.record(z.string(), z.unknown()),
z.array(z.record(z.string(), z.unknown())),
])
/**
* MetadataArgs
*/
@ -397,52 +370,10 @@ export const zDatasetTagResponse = z.object({
type: z.string(),
})
export const zDatasetDocMetadata = z.object({
id: z.string().optional(),
name: z.string().optional(),
type: z.string().optional(),
})
export const zExternalKnowledgeInfo = z.object({
external_knowledge_api_endpoint: z.string().optional(),
external_knowledge_api_id: z.string().optional(),
external_knowledge_api_name: z.string().optional(),
external_knowledge_id: z.string().optional(),
})
export const zExternalRetrievalModel = z.object({
score_threshold: z.number().optional(),
score_threshold_enabled: z.boolean().optional(),
top_k: z.int().optional(),
})
export const zDatasetIconInfo = z.object({
icon: z.string().optional(),
icon_background: z.string().optional(),
icon_type: z.string().optional(),
icon_url: z.string().optional(),
})
export const zAnonymousInlineModelB1954337D565 = z.object({
enable: z.boolean().optional(),
model_name: z.string().optional(),
model_provider_name: z.string().optional(),
summary_prompt: z.string().optional(),
})
/**
* Tag
* ExternalKnowledgeApiBindingResponse
*/
export const zTag = z.object({
id: z.string(),
name: z.string(),
type: z.string(),
})
/**
* ExternalKnowledgeDatasetBindingResponse
*/
export const zExternalKnowledgeDatasetBindingResponse = z.object({
export const zExternalKnowledgeApiBindingResponse = z.object({
id: z.string(),
name: z.string(),
})
@ -453,11 +384,11 @@ export const zExternalKnowledgeDatasetBindingResponse = z.object({
export const zExternalKnowledgeApiResponse = z.object({
created_at: z.string(),
created_by: z.string(),
dataset_bindings: z.array(zExternalKnowledgeDatasetBindingResponse).optional(),
dataset_bindings: z.array(zExternalKnowledgeApiBindingResponse),
description: z.string(),
id: z.string(),
name: z.string(),
settings: z.record(z.string(), z.unknown()).nullish(),
settings: z.record(z.string(), z.unknown()).nullable(),
tenant_id: z.string(),
})
@ -469,22 +400,22 @@ export const zExternalKnowledgeApiListResponse = z.object({
has_more: z.boolean(),
limit: z.int(),
page: z.int(),
total: z.int(),
total: z.int().nullable(),
})
/**
* IndexingEstimatePreviewItemResponse
* PreviewDetail
*/
export const zIndexingEstimatePreviewItemResponse = z.object({
export const zPreviewDetail = z.object({
child_chunks: z.array(z.string()).nullish(),
content: z.string(),
summary: z.string().nullish(),
})
/**
* IndexingEstimateQaPreviewItemResponse
* QAPreviewDetail
*/
export const zIndexingEstimateQaPreviewItemResponse = z.object({
export const zQaPreviewDetail = z.object({
answer: z.string(),
question: z.string(),
})
@ -493,8 +424,20 @@ export const zIndexingEstimateQaPreviewItemResponse = z.object({
* IndexingEstimateResponse
*/
export const zIndexingEstimateResponse = z.object({
preview: z.array(zIndexingEstimatePreviewItemResponse),
qa_preview: z.array(zIndexingEstimateQaPreviewItemResponse).nullish(),
currency: z.string(),
preview: z.array(zPreviewDetail),
qa_preview: z.array(zQaPreviewDetail).nullish(),
tokens: z.int(),
total_price: z.union([z.number(), z.int()]),
total_segments: z.int(),
})
/**
* IndexingEstimate
*/
export const zIndexingEstimate = z.object({
preview: z.array(zPreviewDetail),
qa_preview: z.array(zQaPreviewDetail).nullish(),
total_segments: z.int(),
})
@ -528,30 +471,11 @@ export const zDatasetMetadataBuiltInFieldsResponse = z.object({
})
/**
* PreviewDetail
* ProcessRuleMode
*
* Dataset Process Rule Mode
*/
export const zPreviewDetail = z.object({
child_chunks: z.array(z.string()).nullish(),
content: z.string(),
summary: z.string().nullish(),
})
/**
* QAPreviewDetail
*/
export const zQaPreviewDetail = z.object({
answer: z.string(),
question: z.string(),
})
/**
* IndexingEstimate
*/
export const zIndexingEstimate = z.object({
preview: z.array(zPreviewDetail),
qa_preview: z.array(zQaPreviewDetail).nullish(),
total_segments: z.int(),
})
export const zProcessRuleMode = z.enum(['automatic', 'custom', 'hierarchical'])
/**
* DocumentMetadataResponse
@ -563,6 +487,43 @@ export const zDocumentMetadataResponse = z.object({
value: z.union([z.string(), z.int(), z.number(), z.boolean()]).nullish(),
})
/**
* DocumentDetailResponse
*/
export const zDocumentDetailResponse = z.object({
archived: z.boolean().nullish(),
average_segment_length: z.number().nullish(),
completed_at: z.int().nullish(),
created_at: z.int().nullish(),
created_by: z.string().nullish(),
created_from: z.string().nullish(),
data_source_detail_dict: z.unknown().optional(),
data_source_info: z.unknown().optional(),
data_source_type: z.string().nullish(),
dataset_process_rule: z.unknown().optional(),
dataset_process_rule_id: z.string().nullish(),
disabled_at: z.int().nullish(),
disabled_by: z.string().nullish(),
display_status: z.string().nullish(),
doc_form: z.string().nullish(),
doc_language: z.string().nullish(),
doc_metadata: z.array(zDocumentMetadataResponse).nullish(),
doc_type: z.string().nullish(),
document_process_rule: z.unknown().optional(),
enabled: z.boolean().nullish(),
error: z.string().nullish(),
hit_count: z.int().nullish(),
id: z.string(),
indexing_latency: z.number().nullish(),
indexing_status: z.string().nullish(),
name: z.string().nullish(),
need_summary: z.boolean().nullish(),
position: z.int().nullish(),
segment_count: z.int().nullish(),
tokens: z.int().nullish(),
updated_at: z.int().nullish(),
})
/**
* DocumentResponse
*/
@ -646,6 +607,18 @@ export const zDocumentWithSegmentsListResponse = z.object({
total: z.int(),
})
export const zJsonValue = z.unknown()
/**
* DocumentPipelineExecutionLogResponse
*/
export const zDocumentPipelineExecutionLogResponse = z.object({
datasource_info: zJsonValue.nullish(),
datasource_node_id: z.string().nullish(),
datasource_type: z.string().nullish(),
input_data: zJsonValue.nullish(),
})
/**
* ChildChunkResponse
*/
@ -700,6 +673,64 @@ export const zChildChunkBatchUpdatePayload = z.object({
chunks: z.array(zChildChunkUpdateArgs),
})
/**
* SummaryEntryResponse
*/
export const zSummaryEntryResponse = z.object({
created_at: z.int().nullish(),
error: z.string().nullish(),
segment_id: z.string(),
segment_position: z.int(),
status: z.string(),
summary_preview: z.string().nullish(),
updated_at: z.int().nullish(),
})
/**
* SummaryStatusResponse
*/
export const zSummaryStatusResponse = z.object({
completed: z.int().optional().default(0),
error: z.int().optional().default(0),
generating: z.int().optional().default(0),
not_started: z.int().optional().default(0),
timeout: z.int().optional().default(0),
})
/**
* DocumentSummaryStatusResponse
*/
export const zDocumentSummaryStatusResponse = z.object({
summaries: z.array(zSummaryEntryResponse),
summary_status: zSummaryStatusResponse,
total_segments: z.int(),
})
/**
* ExternalHitTestingQueryResponse
*/
export const zExternalHitTestingQueryResponse = z.object({
content: z.string(),
})
/**
* ExternalHitTestingRecordResponse
*/
export const zExternalHitTestingRecordResponse = z.object({
content: z.string().nullish(),
metadata: z.record(z.string(), z.unknown()).nullish(),
score: z.number().nullish(),
title: z.string().nullish(),
})
/**
* ExternalHitTestingResponse
*/
export const zExternalHitTestingResponse = z.object({
query: zExternalHitTestingQueryResponse,
records: z.array(zExternalHitTestingRecordResponse),
})
/**
* HitTestingQuery
*/
@ -755,18 +786,6 @@ export const zDatasetRerankingModelResponse = z.object({
reranking_provider_name: z.string().nullish(),
})
export const zDatasetRerankingModel = z.object({
reranking_model_name: z.string().optional(),
reranking_provider_name: z.string().optional(),
})
/**
* ProcessRuleMode
*
* Dataset Process Rule Mode
*/
export const zProcessRuleMode = z.enum(['automatic', 'custom', 'hierarchical'])
/**
* RerankingModel
*/
@ -785,6 +804,50 @@ export const zRetrievalMethod = z.enum([
'semantic_search',
])
/**
* PreProcessingRule
*/
export const zPreProcessingRule = z.object({
enabled: z.boolean(),
id: z.enum(['remove_extra_spaces', 'remove_stopwords', 'remove_urls_emails']),
})
/**
* Segmentation
*/
export const zSegmentation = z.object({
chunk_overlap: z.int().optional().default(0),
max_tokens: z.int(),
separator: z.string().optional().default('\n'),
})
/**
* Rule
*/
export const zRule = z.object({
parent_mode: z.enum(['full-doc', 'paragraph']).nullish(),
pre_processing_rules: z.array(zPreProcessingRule).nullish(),
segmentation: zSegmentation.nullish(),
subchunk_segmentation: zSegmentation.nullish(),
})
/**
* ProcessRuleResponse
*/
export const zProcessRuleResponse = z.object({
limits: z.record(z.string(), z.unknown()),
mode: zProcessRuleMode,
rules: zRule.nullish(),
})
/**
* ProcessRule
*/
export const zProcessRule = z.object({
mode: zProcessRuleMode,
rules: zRule.nullish(),
})
/**
* MetadataDetail
*/
@ -1079,88 +1142,6 @@ export const zDatasetListResponse = z.object({
total: z.int(),
})
export const zDatasetKeywordSetting = z.object({
keyword_weight: z.number().optional(),
})
export const zDatasetVectorSetting = z.object({
embedding_model_name: z.string().optional(),
embedding_provider_name: z.string().optional(),
vector_weight: z.number().optional(),
})
export const zDatasetWeightedScore = z.object({
keyword_setting: zDatasetKeywordSetting.optional(),
vector_setting: zDatasetVectorSetting.optional(),
weight_type: z.string().optional(),
})
export const zDatasetRetrievalModel = z.object({
reranking_enable: z.boolean().optional(),
reranking_mode: z.string().optional(),
reranking_model: zDatasetRerankingModel.optional(),
score_threshold: z.number().optional(),
score_threshold_enabled: z.boolean().optional(),
search_method: z.string().optional(),
top_k: z.int().optional(),
weights: zDatasetWeightedScore.optional(),
})
export const zDatasetDetail = z.object({
app_count: z.int().optional(),
author_name: z.string().optional(),
built_in_field_enabled: z.boolean().optional(),
chunk_structure: z.string().optional(),
created_at: z.coerce
.bigint()
.min(BigInt('-9223372036854775808'), {
error: 'Invalid value: Expected int64 to be >= -9223372036854775808',
})
.max(BigInt('9223372036854775807'), {
error: 'Invalid value: Expected int64 to be <= 9223372036854775807',
})
.optional(),
created_by: z.string().optional(),
data_source_type: z.string().optional(),
description: z.string().optional(),
doc_form: z.string().optional(),
doc_metadata: z.array(zDatasetDocMetadata).optional(),
document_count: z.int().optional(),
embedding_available: z.boolean().optional(),
embedding_model: z.string().optional(),
embedding_model_provider: z.string().optional(),
enable_api: z.boolean().optional(),
external_knowledge_info: zExternalKnowledgeInfo.optional(),
external_retrieval_model: zExternalRetrievalModel.optional(),
icon_info: zDatasetIconInfo.optional(),
id: z.string().optional(),
indexing_technique: z.string().optional(),
is_multimodal: z.boolean().optional(),
is_published: z.boolean().optional(),
name: z.string().optional(),
permission: z.string().optional(),
permission_keys: z.array(z.string()).optional(),
pipeline_id: z.string().optional(),
provider: z.string().optional(),
retrieval_model_dict: zDatasetRetrievalModel.optional(),
runtime_mode: z.string().optional(),
summary_index_setting: zAnonymousInlineModelB1954337D565.optional(),
tags: z.array(zTag).optional(),
total_available_documents: z.int().optional(),
total_documents: z.int().optional(),
updated_at: z.coerce
.bigint()
.min(BigInt('-9223372036854775808'), {
error: 'Invalid value: Expected int64 to be >= -9223372036854775808',
})
.max(BigInt('9223372036854775807'), {
error: 'Invalid value: Expected int64 to be <= 9223372036854775807',
})
.optional(),
updated_by: z.string().optional(),
word_count: z.int().optional(),
})
/**
* FileInfo
*/
@ -1178,41 +1159,6 @@ export const zWebsiteInfo = z.object({
urls: z.array(z.string()),
})
/**
* PreProcessingRule
*/
export const zPreProcessingRule = z.object({
enabled: z.boolean(),
id: z.enum(['remove_extra_spaces', 'remove_stopwords', 'remove_urls_emails']),
})
/**
* Segmentation
*/
export const zSegmentation = z.object({
chunk_overlap: z.int().optional().default(0),
max_tokens: z.int(),
separator: z.string().optional().default('\n'),
})
/**
* Rule
*/
export const zRule = z.object({
parent_mode: z.enum(['full-doc', 'paragraph']).nullish(),
pre_processing_rules: z.array(zPreProcessingRule).nullish(),
segmentation: zSegmentation.nullish(),
subchunk_segmentation: zSegmentation.nullish(),
})
/**
* ProcessRule
*/
export const zProcessRule = z.object({
mode: zProcessRuleMode,
rules: zRule.nullish(),
})
/**
* Condition
*
@ -1558,7 +1504,7 @@ export const zPostDatasetsExternalBody = zExternalDatasetCreatePayload
/**
* External dataset created successfully
*/
export const zPostDatasetsExternalResponse = zDatasetDetail
export const zPostDatasetsExternalResponse = zDatasetDetailResponse
export const zGetDatasetsExternalKnowledgeApiQuery = z.object({
keyword: z.string().optional(),
@ -1653,7 +1599,7 @@ export const zGetDatasetsProcessRuleQuery = z.object({
/**
* Process rules retrieved successfully
*/
export const zGetDatasetsProcessRuleResponse = zOpaqueObjectResponse
export const zGetDatasetsProcessRuleResponse = zProcessRuleResponse
/**
* Retrieval settings retrieved successfully
@ -1723,9 +1669,9 @@ export const zGetDatasetsByDatasetIdBatchByBatchIndexingEstimatePath = z.object(
})
/**
* Batch indexing estimate calculated successfully
* Indexing estimate calculated successfully
*/
export const zGetDatasetsByDatasetIdBatchByBatchIndexingEstimateResponse = zOpaqueObjectResponse
export const zGetDatasetsByDatasetIdBatchByBatchIndexingEstimateResponse = zIndexingEstimateResponse
export const zGetDatasetsByDatasetIdBatchByBatchIndexingStatusPath = z.object({
batch: z.string(),
@ -1775,17 +1721,6 @@ export const zPostDatasetsByDatasetIdDocumentsPath = z.object({
*/
export const zPostDatasetsByDatasetIdDocumentsResponse = zDatasetAndDocumentResponse
export const zPostDatasetsByDatasetIdDocumentsDownloadZipBody = zDocumentBatchDownloadZipPayload
export const zPostDatasetsByDatasetIdDocumentsDownloadZipPath = z.object({
dataset_id: z.uuid(),
})
/**
* ZIP archive generated successfully
*/
export const zPostDatasetsByDatasetIdDocumentsDownloadZipResponse = zBinaryFileResponse
export const zPostDatasetsByDatasetIdDocumentsGenerateSummaryBody = zGenerateSummaryPayload
export const zPostDatasetsByDatasetIdDocumentsGenerateSummaryPath = z.object({
@ -1840,7 +1775,7 @@ export const zGetDatasetsByDatasetIdDocumentsByDocumentIdQuery = z.object({
/**
* Document retrieved successfully
*/
export const zGetDatasetsByDatasetIdDocumentsByDocumentIdResponse = zOpaqueObjectResponse
export const zGetDatasetsByDatasetIdDocumentsByDocumentIdResponse = zDocumentDetailResponse
export const zGetDatasetsByDatasetIdDocumentsByDocumentIdDownloadPath = z.object({
dataset_id: z.uuid(),
@ -1861,7 +1796,7 @@ export const zGetDatasetsByDatasetIdDocumentsByDocumentIdIndexingEstimatePath =
* Indexing estimate calculated successfully
*/
export const zGetDatasetsByDatasetIdDocumentsByDocumentIdIndexingEstimateResponse
= zOpaqueObjectResponse
= zIndexingEstimateResponse
export const zGetDatasetsByDatasetIdDocumentsByDocumentIdIndexingStatusPath = z.object({
dataset_id: z.uuid(),
@ -1904,10 +1839,10 @@ export const zGetDatasetsByDatasetIdDocumentsByDocumentIdPipelineExecutionLogPat
})
/**
* Document pipeline execution log retrieved successfully
* Pipeline execution log retrieved successfully
*/
export const zGetDatasetsByDatasetIdDocumentsByDocumentIdPipelineExecutionLogResponse
= zOpaqueObjectResponse
= zDocumentPipelineExecutionLogResponse
export const zPatchDatasetsByDatasetIdDocumentsByDocumentIdProcessingPausePath = z.object({
dataset_id: z.uuid(),
@ -2158,7 +2093,7 @@ export const zGetDatasetsByDatasetIdDocumentsByDocumentIdSummaryStatusPath = z.o
* Summary status retrieved successfully
*/
export const zGetDatasetsByDatasetIdDocumentsByDocumentIdSummaryStatusResponse
= zOpaqueObjectResponse
= zDocumentSummaryStatusResponse
export const zGetDatasetsByDatasetIdDocumentsByDocumentIdWebsiteSyncPath = z.object({
dataset_id: z.uuid(),
@ -2188,7 +2123,7 @@ export const zPostDatasetsByDatasetIdExternalHitTestingPath = z.object({
/**
* External hit testing completed successfully
*/
export const zPostDatasetsByDatasetIdExternalHitTestingResponse = zExternalRetrievalTestResponse
export const zPostDatasetsByDatasetIdExternalHitTestingResponse = zExternalHitTestingResponse
export const zPostDatasetsByDatasetIdHitTestingBody = zHitTestingPayload

View File

@ -246,7 +246,6 @@ export type AgentThought = {
created_at?: number | null
files: Array<string>
id: string
message_chain_id?: string | null
message_id: string
observation?: string | null
position: number

View File

@ -266,7 +266,6 @@ export const zAgentThought = z.object({
created_at: z.int().nullish(),
files: z.array(z.string()),
id: z.string(),
message_chain_id: z.string().nullish(),
message_id: z.string(),
observation: z.string().nullish(),
position: z.int(),

View File

@ -25,15 +25,42 @@ export type SimpleDataResponse = {
}
export type ModelConfig = {
completion_params?: {
[key: string]: unknown
}
mode: LlmMode
name: string
provider: string
agent_mode?: JsonValue | null
annotation_reply?: JsonValue | null
chat_prompt_config?: JsonValue | null
completion_prompt_config?: JsonValue | null
created_at?: number | null
created_by?: string | null
dataset_configs?: JsonValue | null
dataset_query_variable?: string | null
external_data_tools?: JsonValue | null
file_upload?: JsonValue | null
model?: JsonValue | null
more_like_this?: JsonValue | null
opening_statement?: string | null
pre_prompt?: string | null
prompt_type?: string | null
retriever_resource?: JsonValue | null
sensitive_word_avoidance?: JsonValue | null
speech_to_text?: JsonValue | null
suggested_questions?: JsonValue | null
suggested_questions_after_answer?: JsonValue | null
text_to_speech?: JsonValue | null
updated_at?: number | null
updated_by?: string | null
user_input_form?: JsonValue | null
}
export type LlmMode = 'chat' | 'completion'
export type JsonValue
= | string
| number
| number
| boolean
| {
[key: string]: unknown
}
| Array<unknown>
| null
export type PostInstructionGenerateData = {
body: InstructionGeneratePayload

View File

@ -21,21 +21,45 @@ export const zSimpleDataResponse = z.object({
data: z.string(),
})
/**
* LLMMode
*
* Enum class for large language model mode.
*/
export const zLlmMode = z.enum(['chat', 'completion'])
export const zJsonValue = z
.union([
z.string(),
z.int(),
z.number(),
z.boolean(),
z.record(z.string(), z.unknown()),
z.array(z.unknown()),
])
.nullable()
/**
* ModelConfig
*/
export const zModelConfig = z.object({
completion_params: z.record(z.string(), z.unknown()).optional(),
mode: zLlmMode,
name: z.string(),
provider: z.string(),
agent_mode: zJsonValue.nullish(),
annotation_reply: zJsonValue.nullish(),
chat_prompt_config: zJsonValue.nullish(),
completion_prompt_config: zJsonValue.nullish(),
created_at: z.int().nullish(),
created_by: z.string().nullish(),
dataset_configs: zJsonValue.nullish(),
dataset_query_variable: z.string().nullish(),
external_data_tools: zJsonValue.nullish(),
file_upload: zJsonValue.nullish(),
model: zJsonValue.nullish(),
more_like_this: zJsonValue.nullish(),
opening_statement: z.string().nullish(),
pre_prompt: z.string().nullish(),
prompt_type: z.string().nullish(),
retriever_resource: zJsonValue.nullish(),
sensitive_word_avoidance: zJsonValue.nullish(),
speech_to_text: zJsonValue.nullish(),
suggested_questions: zJsonValue.nullish(),
suggested_questions_after_answer: zJsonValue.nullish(),
text_to_speech: zJsonValue.nullish(),
updated_at: z.int().nullish(),
updated_by: z.string().nullish(),
user_input_form: zJsonValue.nullish(),
})
/**

View File

@ -119,7 +119,7 @@ export type SimpleResultResponse = {
export type WorkflowRunDetailResponse = {
created_at?: number | null
created_by_account?: SimpleAccount | null
created_by_account?: SimpleAccountResponse | null
created_by_end_user?: SimpleEndUser | null
created_by_role?: string | null
elapsed_time?: number | null
@ -158,7 +158,7 @@ export type DefaultBlockConfigResponse = {
export type WorkflowResponse = {
conversation_variables: Array<WorkflowConversationVariableResponse>
created_at: number
created_by?: SimpleAccount | null
created_by?: SimpleAccountResponse | null
environment_variables: Array<WorkflowEnvironmentVariableResponse>
features: {
[key: string]: unknown
@ -173,7 +173,7 @@ export type WorkflowResponse = {
rag_pipeline_variables: Array<PipelineVariableResponse>
tool_published: boolean
updated_at: number
updated_by?: SimpleAccount | null
updated_by?: SimpleAccountResponse | null
version: string
}
@ -221,7 +221,7 @@ export type DatasourceVariablesPayload = {
export type WorkflowRunNodeExecutionResponse = {
created_at?: number | null
created_by_account?: SimpleAccount | null
created_by_account?: SimpleAccountResponse | null
created_by_end_user?: SimpleEndUser | null
created_by_role?: string | null
elapsed_time?: number | null
@ -421,7 +421,7 @@ export type PluginDependency = {
export type WorkflowRunForListResponse = {
created_at?: number | null
created_by_account?: SimpleAccount | null
created_by_account?: SimpleAccountResponse | null
elapsed_time?: number | null
exceptions_count?: number | null
finished_at?: number | null
@ -433,7 +433,7 @@ export type WorkflowRunForListResponse = {
version?: string | null
}
export type SimpleAccount = {
export type SimpleAccountResponse = {
email: string
id: string
name: string

View File

@ -322,9 +322,9 @@ export const zPipelineTemplateListResponse = z.object({
})
/**
* SimpleAccount
* SimpleAccountResponse
*/
export const zSimpleAccount = z.object({
export const zSimpleAccountResponse = z.object({
email: z.string(),
id: z.string(),
name: z.string(),
@ -335,7 +335,7 @@ export const zSimpleAccount = z.object({
*/
export const zWorkflowRunForListResponse = z.object({
created_at: z.int().nullish(),
created_by_account: zSimpleAccount.nullish(),
created_by_account: zSimpleAccountResponse.nullish(),
elapsed_time: z.number().nullish(),
exceptions_count: z.int().nullish(),
finished_at: z.int().nullish(),
@ -371,7 +371,7 @@ export const zSimpleEndUser = z.object({
*/
export const zWorkflowRunDetailResponse = z.object({
created_at: z.int().nullish(),
created_by_account: zSimpleAccount.nullish(),
created_by_account: zSimpleAccountResponse.nullish(),
created_by_end_user: zSimpleEndUser.nullish(),
created_by_role: z.string().nullish(),
elapsed_time: z.number().nullish(),
@ -393,7 +393,7 @@ export const zWorkflowRunDetailResponse = z.object({
*/
export const zWorkflowRunNodeExecutionResponse = z.object({
created_at: z.int().nullish(),
created_by_account: zSimpleAccount.nullish(),
created_by_account: zSimpleAccountResponse.nullish(),
created_by_end_user: zSimpleEndUser.nullish(),
created_by_role: z.string().nullish(),
elapsed_time: z.number().nullish(),
@ -471,7 +471,7 @@ export const zPipelineVariableResponse = z.object({
export const zWorkflowResponse = z.object({
conversation_variables: z.array(zWorkflowConversationVariableResponse),
created_at: z.int(),
created_by: zSimpleAccount.nullish(),
created_by: zSimpleAccountResponse.nullish(),
environment_variables: z.array(zWorkflowEnvironmentVariableResponse),
features: z.record(z.string(), z.unknown()),
graph: z.record(z.string(), z.unknown()),
@ -482,7 +482,7 @@ export const zWorkflowResponse = z.object({
rag_pipeline_variables: z.array(zPipelineVariableResponse),
tool_published: z.boolean(),
updated_at: z.int(),
updated_by: zSimpleAccount.nullish(),
updated_by: zSimpleAccountResponse.nullish(),
version: z.string(),
})

View File

@ -14,15 +14,42 @@ export type RuleCodeGeneratePayload = {
export type GeneratorResponse = unknown
export type ModelConfig = {
completion_params?: {
[key: string]: unknown
}
mode: LlmMode
name: string
provider: string
agent_mode?: JsonValue | null
annotation_reply?: JsonValue | null
chat_prompt_config?: JsonValue | null
completion_prompt_config?: JsonValue | null
created_at?: number | null
created_by?: string | null
dataset_configs?: JsonValue | null
dataset_query_variable?: string | null
external_data_tools?: JsonValue | null
file_upload?: JsonValue | null
model?: JsonValue | null
more_like_this?: JsonValue | null
opening_statement?: string | null
pre_prompt?: string | null
prompt_type?: string | null
retriever_resource?: JsonValue | null
sensitive_word_avoidance?: JsonValue | null
speech_to_text?: JsonValue | null
suggested_questions?: JsonValue | null
suggested_questions_after_answer?: JsonValue | null
text_to_speech?: JsonValue | null
updated_at?: number | null
updated_by?: string | null
user_input_form?: JsonValue | null
}
export type LlmMode = 'chat' | 'completion'
export type JsonValue
= | string
| number
| number
| boolean
| {
[key: string]: unknown
}
| Array<unknown>
| null
export type PostRuleCodeGenerateData = {
body: RuleCodeGeneratePayload

View File

@ -7,21 +7,45 @@ import * as z from 'zod'
*/
export const zGeneratorResponse = z.unknown()
/**
* LLMMode
*
* Enum class for large language model mode.
*/
export const zLlmMode = z.enum(['chat', 'completion'])
export const zJsonValue = z
.union([
z.string(),
z.int(),
z.number(),
z.boolean(),
z.record(z.string(), z.unknown()),
z.array(z.unknown()),
])
.nullable()
/**
* ModelConfig
*/
export const zModelConfig = z.object({
completion_params: z.record(z.string(), z.unknown()).optional(),
mode: zLlmMode,
name: z.string(),
provider: z.string(),
agent_mode: zJsonValue.nullish(),
annotation_reply: zJsonValue.nullish(),
chat_prompt_config: zJsonValue.nullish(),
completion_prompt_config: zJsonValue.nullish(),
created_at: z.int().nullish(),
created_by: z.string().nullish(),
dataset_configs: zJsonValue.nullish(),
dataset_query_variable: z.string().nullish(),
external_data_tools: zJsonValue.nullish(),
file_upload: zJsonValue.nullish(),
model: zJsonValue.nullish(),
more_like_this: zJsonValue.nullish(),
opening_statement: z.string().nullish(),
pre_prompt: z.string().nullish(),
prompt_type: z.string().nullish(),
retriever_resource: zJsonValue.nullish(),
sensitive_word_avoidance: zJsonValue.nullish(),
speech_to_text: zJsonValue.nullish(),
suggested_questions: zJsonValue.nullish(),
suggested_questions_after_answer: zJsonValue.nullish(),
text_to_speech: zJsonValue.nullish(),
updated_at: z.int().nullish(),
updated_by: z.string().nullish(),
user_input_form: zJsonValue.nullish(),
})
/**

View File

@ -13,15 +13,42 @@ export type RuleGeneratePayload = {
export type GeneratorResponse = unknown
export type ModelConfig = {
completion_params?: {
[key: string]: unknown
}
mode: LlmMode
name: string
provider: string
agent_mode?: JsonValue | null
annotation_reply?: JsonValue | null
chat_prompt_config?: JsonValue | null
completion_prompt_config?: JsonValue | null
created_at?: number | null
created_by?: string | null
dataset_configs?: JsonValue | null
dataset_query_variable?: string | null
external_data_tools?: JsonValue | null
file_upload?: JsonValue | null
model?: JsonValue | null
more_like_this?: JsonValue | null
opening_statement?: string | null
pre_prompt?: string | null
prompt_type?: string | null
retriever_resource?: JsonValue | null
sensitive_word_avoidance?: JsonValue | null
speech_to_text?: JsonValue | null
suggested_questions?: JsonValue | null
suggested_questions_after_answer?: JsonValue | null
text_to_speech?: JsonValue | null
updated_at?: number | null
updated_by?: string | null
user_input_form?: JsonValue | null
}
export type LlmMode = 'chat' | 'completion'
export type JsonValue
= | string
| number
| number
| boolean
| {
[key: string]: unknown
}
| Array<unknown>
| null
export type PostRuleGenerateData = {
body: RuleGeneratePayload

View File

@ -7,21 +7,45 @@ import * as z from 'zod'
*/
export const zGeneratorResponse = z.unknown()
/**
* LLMMode
*
* Enum class for large language model mode.
*/
export const zLlmMode = z.enum(['chat', 'completion'])
export const zJsonValue = z
.union([
z.string(),
z.int(),
z.number(),
z.boolean(),
z.record(z.string(), z.unknown()),
z.array(z.unknown()),
])
.nullable()
/**
* ModelConfig
*/
export const zModelConfig = z.object({
completion_params: z.record(z.string(), z.unknown()).optional(),
mode: zLlmMode,
name: z.string(),
provider: z.string(),
agent_mode: zJsonValue.nullish(),
annotation_reply: zJsonValue.nullish(),
chat_prompt_config: zJsonValue.nullish(),
completion_prompt_config: zJsonValue.nullish(),
created_at: z.int().nullish(),
created_by: z.string().nullish(),
dataset_configs: zJsonValue.nullish(),
dataset_query_variable: z.string().nullish(),
external_data_tools: zJsonValue.nullish(),
file_upload: zJsonValue.nullish(),
model: zJsonValue.nullish(),
more_like_this: zJsonValue.nullish(),
opening_statement: z.string().nullish(),
pre_prompt: z.string().nullish(),
prompt_type: z.string().nullish(),
retriever_resource: zJsonValue.nullish(),
sensitive_word_avoidance: zJsonValue.nullish(),
speech_to_text: zJsonValue.nullish(),
suggested_questions: zJsonValue.nullish(),
suggested_questions_after_answer: zJsonValue.nullish(),
text_to_speech: zJsonValue.nullish(),
updated_at: z.int().nullish(),
updated_by: z.string().nullish(),
user_input_form: zJsonValue.nullish(),
})
/**

View File

@ -12,15 +12,42 @@ export type RuleStructuredOutputPayload = {
export type GeneratorResponse = unknown
export type ModelConfig = {
completion_params?: {
[key: string]: unknown
}
mode: LlmMode
name: string
provider: string
agent_mode?: JsonValue | null
annotation_reply?: JsonValue | null
chat_prompt_config?: JsonValue | null
completion_prompt_config?: JsonValue | null
created_at?: number | null
created_by?: string | null
dataset_configs?: JsonValue | null
dataset_query_variable?: string | null
external_data_tools?: JsonValue | null
file_upload?: JsonValue | null
model?: JsonValue | null
more_like_this?: JsonValue | null
opening_statement?: string | null
pre_prompt?: string | null
prompt_type?: string | null
retriever_resource?: JsonValue | null
sensitive_word_avoidance?: JsonValue | null
speech_to_text?: JsonValue | null
suggested_questions?: JsonValue | null
suggested_questions_after_answer?: JsonValue | null
text_to_speech?: JsonValue | null
updated_at?: number | null
updated_by?: string | null
user_input_form?: JsonValue | null
}
export type LlmMode = 'chat' | 'completion'
export type JsonValue
= | string
| number
| number
| boolean
| {
[key: string]: unknown
}
| Array<unknown>
| null
export type PostRuleStructuredOutputGenerateData = {
body: RuleStructuredOutputPayload

View File

@ -7,21 +7,45 @@ import * as z from 'zod'
*/
export const zGeneratorResponse = z.unknown()
/**
* LLMMode
*
* Enum class for large language model mode.
*/
export const zLlmMode = z.enum(['chat', 'completion'])
export const zJsonValue = z
.union([
z.string(),
z.int(),
z.number(),
z.boolean(),
z.record(z.string(), z.unknown()),
z.array(z.unknown()),
])
.nullable()
/**
* ModelConfig
*/
export const zModelConfig = z.object({
completion_params: z.record(z.string(), z.unknown()).optional(),
mode: zLlmMode,
name: z.string(),
provider: z.string(),
agent_mode: zJsonValue.nullish(),
annotation_reply: zJsonValue.nullish(),
chat_prompt_config: zJsonValue.nullish(),
completion_prompt_config: zJsonValue.nullish(),
created_at: z.int().nullish(),
created_by: z.string().nullish(),
dataset_configs: zJsonValue.nullish(),
dataset_query_variable: z.string().nullish(),
external_data_tools: zJsonValue.nullish(),
file_upload: zJsonValue.nullish(),
model: zJsonValue.nullish(),
more_like_this: zJsonValue.nullish(),
opening_statement: z.string().nullish(),
pre_prompt: z.string().nullish(),
prompt_type: z.string().nullish(),
retriever_resource: zJsonValue.nullish(),
sensitive_word_avoidance: zJsonValue.nullish(),
speech_to_text: zJsonValue.nullish(),
suggested_questions: zJsonValue.nullish(),
suggested_questions_after_answer: zJsonValue.nullish(),
text_to_speech: zJsonValue.nullish(),
updated_at: z.int().nullish(),
updated_by: z.string().nullish(),
user_input_form: zJsonValue.nullish(),
})
/**

View File

@ -16,7 +16,7 @@ export type SimpleResultResponse = {
export type WorkflowRunDetailResponse = {
created_at?: number | null
created_by_account?: SimpleAccount | null
created_by_account?: SimpleAccountResponse | null
created_by_end_user?: SimpleEndUser | null
created_by_role?: string | null
elapsed_time?: number | null
@ -51,7 +51,7 @@ export type DefaultBlockConfigsResponse = Array<{
export type SnippetWorkflowResponse = {
conversation_variables: Array<WorkflowConversationVariableResponse>
created_at: number
created_by?: SimpleAccount | null
created_by?: SimpleAccountResponse | null
environment_variables: Array<WorkflowEnvironmentVariableResponse>
features: {
[key: string]: unknown
@ -69,7 +69,7 @@ export type SnippetWorkflowResponse = {
rag_pipeline_variables: Array<PipelineVariableResponse>
tool_published: boolean
updated_at: number
updated_by?: SimpleAccount | null
updated_by?: SimpleAccountResponse | null
version: string
}
@ -120,7 +120,7 @@ export type SnippetLoopNodeRunPayload = {
export type WorkflowRunNodeExecutionResponse = {
created_at?: number | null
created_by_account?: SimpleAccount | null
created_by_account?: SimpleAccountResponse | null
created_by_end_user?: SimpleEndUser | null
created_by_role?: string | null
elapsed_time?: number | null
@ -210,7 +210,7 @@ export type WorkflowPublishResponse = {
export type WorkflowRunForListResponse = {
created_at?: number | null
created_by_account?: SimpleAccount | null
created_by_account?: SimpleAccountResponse | null
elapsed_time?: number | null
exceptions_count?: number | null
finished_at?: number | null
@ -222,7 +222,7 @@ export type WorkflowRunForListResponse = {
version?: string | null
}
export type SimpleAccount = {
export type SimpleAccountResponse = {
email: string
id: string
name: string

View File

@ -134,9 +134,9 @@ export const zWorkflowPublishResponse = z.object({
})
/**
* SimpleAccount
* SimpleAccountResponse
*/
export const zSimpleAccount = z.object({
export const zSimpleAccountResponse = z.object({
email: z.string(),
id: z.string(),
name: z.string(),
@ -147,7 +147,7 @@ export const zSimpleAccount = z.object({
*/
export const zWorkflowRunForListResponse = z.object({
created_at: z.int().nullish(),
created_by_account: zSimpleAccount.nullish(),
created_by_account: zSimpleAccountResponse.nullish(),
elapsed_time: z.number().nullish(),
exceptions_count: z.int().nullish(),
finished_at: z.int().nullish(),
@ -183,7 +183,7 @@ export const zSimpleEndUser = z.object({
*/
export const zWorkflowRunDetailResponse = z.object({
created_at: z.int().nullish(),
created_by_account: zSimpleAccount.nullish(),
created_by_account: zSimpleAccountResponse.nullish(),
created_by_end_user: zSimpleEndUser.nullish(),
created_by_role: z.string().nullish(),
elapsed_time: z.number().nullish(),
@ -205,7 +205,7 @@ export const zWorkflowRunDetailResponse = z.object({
*/
export const zWorkflowRunNodeExecutionResponse = z.object({
created_at: z.int().nullish(),
created_by_account: zSimpleAccount.nullish(),
created_by_account: zSimpleAccountResponse.nullish(),
created_by_end_user: zSimpleEndUser.nullish(),
created_by_role: z.string().nullish(),
elapsed_time: z.number().nullish(),
@ -283,7 +283,7 @@ export const zPipelineVariableResponse = z.object({
export const zSnippetWorkflowResponse = z.object({
conversation_variables: z.array(zWorkflowConversationVariableResponse),
created_at: z.int(),
created_by: zSimpleAccount.nullish(),
created_by: zSimpleAccountResponse.nullish(),
environment_variables: z.array(zWorkflowEnvironmentVariableResponse),
features: z.record(z.string(), z.unknown()),
graph: z.record(z.string(), z.unknown()),
@ -295,7 +295,7 @@ export const zSnippetWorkflowResponse = z.object({
rag_pipeline_variables: z.array(zPipelineVariableResponse),
tool_published: z.boolean(),
updated_at: z.int(),
updated_by: zSimpleAccount.nullish(),
updated_by: zSimpleAccountResponse.nullish(),
version: z.string(),
})

View File

@ -10,19 +10,24 @@ export type BedrockRetrievalPayload = {
retrieval_setting: BedrockRetrievalSetting
}
export type ExternalRetrievalTestResponse
= | {
[key: string]: unknown
}
| Array<{
[key: string]: unknown
}>
export type BedrockRetrievalResponse = {
records: Array<BedrockRetrievalRecordResponse>
}
export type BedrockRetrievalSetting = {
score_threshold?: number
top_k?: number | null
}
export type BedrockRetrievalRecordResponse = {
content?: string | null
metadata?: {
[key: string]: unknown
} | null
score: number
title?: string | null
}
export type PostTestRetrievalData = {
body: BedrockRetrievalPayload
path?: never
@ -31,7 +36,7 @@ export type PostTestRetrievalData = {
}
export type PostTestRetrievalResponses = {
200: ExternalRetrievalTestResponse
200: BedrockRetrievalResponse
}
export type PostTestRetrievalResponse = PostTestRetrievalResponses[keyof PostTestRetrievalResponses]

View File

@ -2,14 +2,6 @@
import * as z from 'zod'
/**
* ExternalRetrievalTestResponse
*/
export const zExternalRetrievalTestResponse = z.union([
z.record(z.string(), z.unknown()),
z.array(z.record(z.string(), z.unknown())),
])
/**
* BedrockRetrievalSetting
*
@ -29,9 +21,26 @@ export const zBedrockRetrievalPayload = z.object({
retrieval_setting: zBedrockRetrievalSetting,
})
/**
* BedrockRetrievalRecordResponse
*/
export const zBedrockRetrievalRecordResponse = z.object({
content: z.string().nullish(),
metadata: z.record(z.string(), z.unknown()).nullish(),
score: z.number(),
title: z.string().nullish(),
})
/**
* BedrockRetrievalResponse
*/
export const zBedrockRetrievalResponse = z.object({
records: z.array(zBedrockRetrievalRecordResponse),
})
export const zPostTestRetrievalBody = zBedrockRetrievalPayload
/**
* Bedrock retrieval test completed
*/
export const zPostTestRetrievalResponse = zExternalRetrievalTestResponse
export const zPostTestRetrievalResponse = zBedrockRetrievalResponse

View File

@ -19,18 +19,9 @@ import {
zGetTrialAppsByAppIdWorkflowsResponse,
zPostTrialAppsByAppIdAudioToTextPath,
zPostTrialAppsByAppIdAudioToTextResponse,
zPostTrialAppsByAppIdChatMessagesBody,
zPostTrialAppsByAppIdChatMessagesPath,
zPostTrialAppsByAppIdChatMessagesResponse,
zPostTrialAppsByAppIdCompletionMessagesBody,
zPostTrialAppsByAppIdCompletionMessagesPath,
zPostTrialAppsByAppIdCompletionMessagesResponse,
zPostTrialAppsByAppIdTextToAudioBody,
zPostTrialAppsByAppIdTextToAudioPath,
zPostTrialAppsByAppIdTextToAudioResponse,
zPostTrialAppsByAppIdWorkflowsRunBody,
zPostTrialAppsByAppIdWorkflowsRunPath,
zPostTrialAppsByAppIdWorkflowsRunResponse,
zPostTrialAppsByAppIdWorkflowsTasksByTaskIdStopPath,
zPostTrialAppsByAppIdWorkflowsTasksByTaskIdStopResponse,
} from './zod.gen'
@ -50,46 +41,6 @@ export const audioToText = {
post,
}
export const post2 = oc
.route({
inputStructure: 'detailed',
method: 'POST',
operationId: 'postTrialAppsByAppIdChatMessages',
path: '/trial-apps/{app_id}/chat-messages',
tags: ['console'],
})
.input(
z.object({
body: zPostTrialAppsByAppIdChatMessagesBody,
params: zPostTrialAppsByAppIdChatMessagesPath,
}),
)
.output(zPostTrialAppsByAppIdChatMessagesResponse)
export const chatMessages = {
post: post2,
}
export const post3 = oc
.route({
inputStructure: 'detailed',
method: 'POST',
operationId: 'postTrialAppsByAppIdCompletionMessages',
path: '/trial-apps/{app_id}/completion-messages',
tags: ['console'],
})
.input(
z.object({
body: zPostTrialAppsByAppIdCompletionMessagesBody,
params: zPostTrialAppsByAppIdCompletionMessagesPath,
}),
)
.output(zPostTrialAppsByAppIdCompletionMessagesResponse)
export const completionMessages = {
post: post3,
}
export const get = oc
.route({
inputStructure: 'detailed',
@ -175,7 +126,7 @@ export const site = {
get: get4,
}
export const post4 = oc
export const post2 = oc
.route({
inputStructure: 'detailed',
method: 'POST',
@ -192,37 +143,13 @@ export const post4 = oc
.output(zPostTrialAppsByAppIdTextToAudioResponse)
export const textToAudio = {
post: post4,
}
/**
* Run workflow
*/
export const post5 = oc
.route({
inputStructure: 'detailed',
method: 'POST',
operationId: 'postTrialAppsByAppIdWorkflowsRun',
path: '/trial-apps/{app_id}/workflows/run',
summary: 'Run workflow',
tags: ['console'],
})
.input(
z.object({
body: zPostTrialAppsByAppIdWorkflowsRunBody,
params: zPostTrialAppsByAppIdWorkflowsRunPath,
}),
)
.output(zPostTrialAppsByAppIdWorkflowsRunResponse)
export const run = {
post: post5,
post: post2,
}
/**
* Stop workflow task
*/
export const post6 = oc
export const post3 = oc
.route({
inputStructure: 'detailed',
method: 'POST',
@ -235,7 +162,7 @@ export const post6 = oc
.output(zPostTrialAppsByAppIdWorkflowsTasksByTaskIdStopResponse)
export const stop = {
post: post6,
post: post3,
}
export const byTaskId = {
@ -263,7 +190,6 @@ export const get5 = oc
export const workflows = {
get: get5,
run,
tasks,
}
@ -285,8 +211,6 @@ export const get6 = oc
export const byAppId = {
get: get6,
audioToText,
chatMessages,
completionMessages,
datasets,
messages,
parameters,

View File

@ -4,66 +4,47 @@ export type ClientOptions = {
baseUrl: `${string}://${string}/console/api` | (string & {})
}
export type TrialAppDetailWithSite = {
access_mode?: string
api_base_url?: string
created_at?: number
created_by?: string
deleted_tools?: Array<TrialDeletedTool>
description?: string
enable_api?: boolean
enable_site?: boolean
icon?: string
icon_background?: string
icon_type?: string
icon_url?: string
id?: string
max_active_requests?: number
mode?: string
model_config?: TrialAppModelConfig
name?: string
export type AppDetailWithSite = {
access_mode?: string | null
api_base_url?: string | null
app_id?: string | null
bound_agent_id?: string | null
created_at?: number | null
created_by?: string | null
deleted_tools?: Array<DeletedTool>
description?: string | null
enable_api: boolean
enable_site: boolean
icon?: string | null
icon_background?: string | null
icon_type?: string | null
readonly icon_url: string | null
id: string
maintainer?: string | null
max_active_requests?: number | null
mode: string
model_config?: ModelConfig | null
name: string
permission_keys?: Array<string>
site?: TrialSite
tags?: Array<TrialTag>
updated_at?: number
updated_by?: string
use_icon_as_answer_icon?: boolean
workflow?: TrialWorkflowPartial
site?: Site | null
tags?: Array<Tag>
tracing?: JsonValue | null
updated_at?: number | null
updated_by?: string | null
use_icon_as_answer_icon?: boolean | null
workflow?: WorkflowPartial | null
}
export type AudioTranscriptResponse = {
text: string
}
export type ChatRequest = {
conversation_id?: string | null
files?: Array<unknown> | null
inputs: {
[key: string]: unknown
}
parent_message_id?: string | null
query: string
retriever_from?: string
}
export type GeneratedAppResponse = JsonValue
export type CompletionRequest = {
files?: Array<unknown> | null
inputs: {
[key: string]: unknown
}
query?: string
response_mode?: 'blocking' | 'streaming' | null
retriever_from?: string
}
export type TrialDatasetList = {
data?: Array<TrialDataset>
has_more?: boolean
limit?: number
page?: number
total?: number
export type TrialDatasetListResponse = {
data: Array<TrialDatasetListItemResponse>
has_more: boolean
limit: number
page: number
total: number
}
export type SuggestedQuestionsResponse = {
@ -111,143 +92,69 @@ export type TextToSpeechRequest = {
export type AudioBinaryResponse = Blob | File
export type TrialWorkflow = {
conversation_variables?: Array<TrialConversationVariable>
created_at?: number
created_by?: TrialSimpleAccount
environment_variables?: Array<{
[key: string]: unknown
}>
features?: {
export type WorkflowResponse = {
conversation_variables: Array<WorkflowConversationVariableResponse>
created_at: number
created_by?: SimpleAccountResponse | null
environment_variables: Array<WorkflowEnvironmentVariableResponse>
features: {
[key: string]: unknown
}
graph?: {
[key: string]: unknown
}
hash?: string
id?: string
marked_comment?: string
marked_name?: string
rag_pipeline_variables?: Array<TrialPipelineVariable>
tool_published?: boolean
updated_at?: number
updated_by?: TrialSimpleAccount
version?: string
}
export type WorkflowRunRequest = {
files?: Array<unknown> | null
inputs: {
graph: {
[key: string]: unknown
}
hash: string
id: string
marked_comment: string
marked_name: string
rag_pipeline_variables: Array<PipelineVariableResponse>
tool_published: boolean
updated_at: number
updated_by?: SimpleAccountResponse | null
version: string
}
export type SimpleResultResponse = {
result: string
}
export type TrialDeletedTool = {
provider_id?: string
tool_name?: string
type?: string
export type DeletedTool = {
provider_id: string
tool_name: string
type: string
}
export type TrialAppModelConfig = {
agent_mode?: {
[key: string]: unknown
}
annotation_reply?: {
[key: string]: unknown
}
chat_prompt_config?: {
[key: string]: unknown
}
completion_prompt_config?: {
[key: string]: unknown
}
created_at?: number
created_by?: string
dataset_configs?: {
[key: string]: unknown
}
dataset_query_variable?: string
external_data_tools?: Array<{
[key: string]: unknown
}>
file_upload?: {
[key: string]: unknown
}
model?: {
[key: string]: unknown
}
more_like_this?: {
[key: string]: unknown
}
opening_statement?: string
pre_prompt?: string
prompt_type?: string
retriever_resource?: {
[key: string]: unknown
}
sensitive_word_avoidance?: {
[key: string]: unknown
}
speech_to_text?: {
[key: string]: unknown
}
suggested_questions?: Array<string>
suggested_questions_after_answer?: {
[key: string]: unknown
}
text_to_speech?: {
[key: string]: unknown
}
updated_at?: number
updated_by?: string
user_input_form?: Array<{
[key: string]: unknown
}>
export type ModelConfig = {
agent_mode?: JsonValue | null
annotation_reply?: JsonValue | null
chat_prompt_config?: JsonValue | null
completion_prompt_config?: JsonValue | null
created_at?: number | null
created_by?: string | null
dataset_configs?: JsonValue | null
dataset_query_variable?: string | null
external_data_tools?: JsonValue | null
file_upload?: JsonValue | null
model?: JsonValue | null
more_like_this?: JsonValue | null
opening_statement?: string | null
pre_prompt?: string | null
prompt_type?: string | null
retriever_resource?: JsonValue | null
sensitive_word_avoidance?: JsonValue | null
speech_to_text?: JsonValue | null
suggested_questions?: JsonValue | null
suggested_questions_after_answer?: JsonValue | null
text_to_speech?: JsonValue | null
updated_at?: number | null
updated_by?: string | null
user_input_form?: JsonValue | null
}
export type TrialSite = {
access_token?: string
app_base_url?: string
chat_color_theme?: string
chat_color_theme_inverted?: boolean
code?: string
copyright?: string
created_at?: number
created_by?: string
custom_disclaimer?: string
customize_domain?: string
customize_token_strategy?: string
default_language?: string
description?: string
icon?: string
icon_background?: string
icon_type?: string
icon_url?: string
privacy_policy?: string
prompt_public?: boolean
show_workflow_steps?: boolean
title?: string
updated_at?: number
updated_by?: string
use_icon_as_answer_icon?: boolean
}
export type TrialTag = {
id?: string
name?: string
type?: string
}
export type TrialWorkflowPartial = {
created_at?: number
created_by?: string
id?: string
updated_at?: number
updated_by?: string
export type Tag = {
id: string
name: string
type: string
}
export type JsonValue
@ -261,16 +168,52 @@ export type JsonValue
| Array<unknown>
| null
export type TrialDataset = {
created_at?: number
created_by?: string
data_source_type?: string
description?: string
id?: string
indexing_technique?: string
name?: string
permission?: string
export type WorkflowPartial = {
created_at?: number | null
created_by?: string | null
id: string
updated_at?: number | null
updated_by?: string | null
}
export type TrialDatasetListItemResponse = {
app_count: number
author_name: string | null
built_in_field_enabled: boolean
chunk_structure: string | null
created_at: number
created_by: string
data_source_type: string | null
description: string | null
doc_form: string | null
doc_metadata: Array<DatasetDocMetadataResponse>
document_count: number
embedding_available?: boolean | null
embedding_model: string | null
embedding_model_provider: string | null
enable_api: boolean
external_knowledge_info?: DatasetExternalKnowledgeInfoResponse
external_retrieval_model: DatasetExternalRetrievalModelResponse | null
icon_info?: DatasetIconInfoResponse
id: string
indexing_technique: string | null
is_multimodal: boolean
is_published: boolean
maintainer?: string | null
name: string
permission: string
permission_keys?: Array<string>
pipeline_id: string | null
provider: string
retrieval_model_dict: DatasetRetrievalModelResponse
runtime_mode: string | null
summary_index_setting?: DatasetSummaryIndexSettingResponse
tags: Array<DatasetTagResponse>
total_available_documents: number
total_documents: number
updated_at: number
updated_by: string | null
word_count: number
}
export type JsonObject = {
@ -285,56 +228,145 @@ export type SystemParameters = {
workflow_file_upload_limit: number
}
export type TrialConversationVariable = {
description?: string
id?: string
name?: string
value?:
| string
| number
| number
| boolean
| {
[key: string]: unknown
}
| Array<unknown>
| null
value_type?: string
export type WorkflowConversationVariableResponse = {
description: string
id: string
name: string
value: unknown
value_type: string
}
export type TrialSimpleAccount = {
email?: string
id?: string
name?: string
export type SimpleAccountResponse = {
email: string
id: string
name: string
}
export type TrialPipelineVariable = {
allow_file_extension?: Array<string>
allow_file_upload_methods?: Array<string>
allowed_file_types?: Array<string>
belong_to_node_id?: string
default_value?:
| string
| number
| number
| boolean
| {
[key: string]: unknown
}
| Array<unknown>
| null
label?: string
max_length?: number
options?: Array<string>
placeholder?: string
required?: boolean
tooltips?: string
type?: string
unit?: string
variable?: string
export type WorkflowEnvironmentVariableResponse = {
description: string
id: string
name: string
value: unknown
value_type: string
}
export type GeneratedAppResponseWritable = JsonValue
export type PipelineVariableResponse = {
allowed_file_extensions?: Array<string> | null
allowed_file_types?: Array<string> | null
allowed_file_upload_methods?: Array<string> | null
belong_to_node_id: string
default_value?: unknown
label: string
max_length?: number | null
options?: Array<string> | null
placeholder?: string | null
required: boolean
tooltips?: string | null
type: string
unit?: string | null
variable: string
}
export type DatasetDocMetadataResponse = {
id: string
name: string
type: string
}
export type DatasetExternalKnowledgeInfoResponse = {
external_knowledge_api_endpoint?: string | null
external_knowledge_api_id?: string | null
external_knowledge_api_name?: string | null
external_knowledge_id?: string | null
}
export type DatasetExternalRetrievalModelResponse = {
score_threshold?: number | null
score_threshold_enabled?: boolean | null
top_k: number
}
export type DatasetIconInfoResponse = {
icon?: string | null
icon_background?: string | null
icon_type?: string | null
icon_url?: string | null
}
export type DatasetRetrievalModelResponse = {
reranking_enable: boolean
reranking_mode?: string | null
reranking_model?: DatasetRerankingModelResponse
score_threshold?: number | null
score_threshold_enabled: boolean
search_method: string
top_k: number
weights?: DatasetWeightedScoreResponse | null
}
export type DatasetSummaryIndexSettingResponse = {
enable?: boolean | null
model_name?: string | null
model_provider_name?: string | null
summary_prompt?: string | null
}
export type DatasetTagResponse = {
id: string
name: string
type: string
}
export type DatasetRerankingModelResponse = {
reranking_model_name?: string | null
reranking_provider_name?: string | null
}
export type DatasetWeightedScoreResponse = {
keyword_setting?: DatasetKeywordSettingResponse
vector_setting?: DatasetVectorSettingResponse
weight_type?: string | null
}
export type DatasetKeywordSettingResponse = {
keyword_weight?: number | null
}
export type DatasetVectorSettingResponse = {
embedding_model_name?: string | null
embedding_provider_name?: string | null
vector_weight?: number | null
}
export type AppDetailWithSiteWritable = {
access_mode?: string | null
api_base_url?: string | null
app_id?: string | null
bound_agent_id?: string | null
created_at?: number | null
created_by?: string | null
deleted_tools?: Array<DeletedTool>
description?: string | null
enable_api: boolean
enable_site: boolean
icon?: string | null
icon_background?: string | null
icon_type?: string | null
id: string
maintainer?: string | null
max_active_requests?: number | null
mode: string
model_config?: ModelConfig | null
name: string
permission_keys?: Array<string>
site?: SiteWritable | null
tags?: Array<Tag>
tracing?: JsonValue | null
updated_at?: number | null
updated_by?: string | null
use_icon_as_answer_icon?: boolean | null
workflow?: WorkflowPartial | null
}
export type SiteWritable = {
chat_color_theme?: string | null
@ -362,7 +394,7 @@ export type GetTrialAppsByAppIdData = {
}
export type GetTrialAppsByAppIdResponses = {
200: TrialAppDetailWithSite
200: AppDetailWithSite
}
export type GetTrialAppsByAppIdResponse
@ -384,38 +416,6 @@ export type PostTrialAppsByAppIdAudioToTextResponses = {
export type PostTrialAppsByAppIdAudioToTextResponse
= PostTrialAppsByAppIdAudioToTextResponses[keyof PostTrialAppsByAppIdAudioToTextResponses]
export type PostTrialAppsByAppIdChatMessagesData = {
body: ChatRequest
path: {
app_id: string
}
query?: never
url: '/trial-apps/{app_id}/chat-messages'
}
export type PostTrialAppsByAppIdChatMessagesResponses = {
200: GeneratedAppResponse
}
export type PostTrialAppsByAppIdChatMessagesResponse
= PostTrialAppsByAppIdChatMessagesResponses[keyof PostTrialAppsByAppIdChatMessagesResponses]
export type PostTrialAppsByAppIdCompletionMessagesData = {
body: CompletionRequest
path: {
app_id: string
}
query?: never
url: '/trial-apps/{app_id}/completion-messages'
}
export type PostTrialAppsByAppIdCompletionMessagesResponses = {
200: GeneratedAppResponse
}
export type PostTrialAppsByAppIdCompletionMessagesResponse
= PostTrialAppsByAppIdCompletionMessagesResponses[keyof PostTrialAppsByAppIdCompletionMessagesResponses]
export type GetTrialAppsByAppIdDatasetsData = {
body?: never
path: {
@ -430,7 +430,7 @@ export type GetTrialAppsByAppIdDatasetsData = {
}
export type GetTrialAppsByAppIdDatasetsResponses = {
200: TrialDatasetList
200: TrialDatasetListResponse
}
export type GetTrialAppsByAppIdDatasetsResponse
@ -511,28 +511,12 @@ export type GetTrialAppsByAppIdWorkflowsData = {
}
export type GetTrialAppsByAppIdWorkflowsResponses = {
200: TrialWorkflow
200: WorkflowResponse
}
export type GetTrialAppsByAppIdWorkflowsResponse
= GetTrialAppsByAppIdWorkflowsResponses[keyof GetTrialAppsByAppIdWorkflowsResponses]
export type PostTrialAppsByAppIdWorkflowsRunData = {
body: WorkflowRunRequest
path: {
app_id: string
}
query?: never
url: '/trial-apps/{app_id}/workflows/run'
}
export type PostTrialAppsByAppIdWorkflowsRunResponses = {
200: GeneratedAppResponse
}
export type PostTrialAppsByAppIdWorkflowsRunResponse
= PostTrialAppsByAppIdWorkflowsRunResponses[keyof PostTrialAppsByAppIdWorkflowsRunResponses]
export type PostTrialAppsByAppIdWorkflowsTasksByTaskIdStopData = {
body?: never
path: {

View File

@ -9,29 +9,6 @@ export const zAudioTranscriptResponse = z.object({
text: z.string(),
})
/**
* ChatRequest
*/
export const zChatRequest = z.object({
conversation_id: z.string().nullish(),
files: z.array(z.unknown()).nullish(),
inputs: z.record(z.string(), z.unknown()),
parent_message_id: z.string().nullish(),
query: z.string(),
retriever_from: z.string().optional().default('explore_app'),
})
/**
* CompletionRequest
*/
export const zCompletionRequest = z.object({
files: z.array(z.unknown()).nullish(),
inputs: z.record(z.string(), z.unknown()),
query: z.string().optional().default(''),
response_mode: z.enum(['blocking', 'streaming']).nullish(),
retriever_from: z.string().optional().default('explore_app'),
})
/**
* SuggestedQuestionsResponse
*/
@ -74,14 +51,6 @@ export const zTextToSpeechRequest = z.object({
*/
export const zAudioBinaryResponse = z.custom<Blob | File>()
/**
* WorkflowRunRequest
*/
export const zWorkflowRunRequest = z.object({
files: z.array(z.unknown()).nullish(),
inputs: z.record(z.string(), z.unknown()),
})
/**
* SimpleResultResponse
*/
@ -89,169 +58,22 @@ export const zSimpleResultResponse = z.object({
result: z.string(),
})
export const zTrialDeletedTool = z.object({
provider_id: z.string().optional(),
tool_name: z.string().optional(),
type: z.string().optional(),
/**
* DeletedTool
*/
export const zDeletedTool = z.object({
provider_id: z.string(),
tool_name: z.string(),
type: z.string(),
})
export const zTrialAppModelConfig = z.object({
agent_mode: z.record(z.string(), z.unknown()).optional(),
annotation_reply: z.record(z.string(), z.unknown()).optional(),
chat_prompt_config: z.record(z.string(), z.unknown()).optional(),
completion_prompt_config: z.record(z.string(), z.unknown()).optional(),
created_at: z.coerce
.bigint()
.min(BigInt('-9223372036854775808'), {
error: 'Invalid value: Expected int64 to be >= -9223372036854775808',
})
.max(BigInt('9223372036854775807'), {
error: 'Invalid value: Expected int64 to be <= 9223372036854775807',
})
.optional(),
created_by: z.string().optional(),
dataset_configs: z.record(z.string(), z.unknown()).optional(),
dataset_query_variable: z.string().optional(),
external_data_tools: z.array(z.record(z.string(), z.unknown())).optional(),
file_upload: z.record(z.string(), z.unknown()).optional(),
model: z.record(z.string(), z.unknown()).optional(),
more_like_this: z.record(z.string(), z.unknown()).optional(),
opening_statement: z.string().optional(),
pre_prompt: z.string().optional(),
prompt_type: z.string().optional(),
retriever_resource: z.record(z.string(), z.unknown()).optional(),
sensitive_word_avoidance: z.record(z.string(), z.unknown()).optional(),
speech_to_text: z.record(z.string(), z.unknown()).optional(),
suggested_questions: z.array(z.string()).optional(),
suggested_questions_after_answer: z.record(z.string(), z.unknown()).optional(),
text_to_speech: z.record(z.string(), z.unknown()).optional(),
updated_at: z.coerce
.bigint()
.min(BigInt('-9223372036854775808'), {
error: 'Invalid value: Expected int64 to be >= -9223372036854775808',
})
.max(BigInt('9223372036854775807'), {
error: 'Invalid value: Expected int64 to be <= 9223372036854775807',
})
.optional(),
updated_by: z.string().optional(),
user_input_form: z.array(z.record(z.string(), z.unknown())).optional(),
})
export const zTrialSite = z.object({
access_token: z.string().optional(),
app_base_url: z.string().optional(),
chat_color_theme: z.string().optional(),
chat_color_theme_inverted: z.boolean().optional(),
code: z.string().optional(),
copyright: z.string().optional(),
created_at: z.coerce
.bigint()
.min(BigInt('-9223372036854775808'), {
error: 'Invalid value: Expected int64 to be >= -9223372036854775808',
})
.max(BigInt('9223372036854775807'), {
error: 'Invalid value: Expected int64 to be <= 9223372036854775807',
})
.optional(),
created_by: z.string().optional(),
custom_disclaimer: z.string().optional(),
customize_domain: z.string().optional(),
customize_token_strategy: z.string().optional(),
default_language: z.string().optional(),
description: z.string().optional(),
icon: z.string().optional(),
icon_background: z.string().optional(),
icon_type: z.string().optional(),
icon_url: z.string().optional(),
privacy_policy: z.string().optional(),
prompt_public: z.boolean().optional(),
show_workflow_steps: z.boolean().optional(),
title: z.string().optional(),
updated_at: z.coerce
.bigint()
.min(BigInt('-9223372036854775808'), {
error: 'Invalid value: Expected int64 to be >= -9223372036854775808',
})
.max(BigInt('9223372036854775807'), {
error: 'Invalid value: Expected int64 to be <= 9223372036854775807',
})
.optional(),
updated_by: z.string().optional(),
use_icon_as_answer_icon: z.boolean().optional(),
})
export const zTrialTag = z.object({
id: z.string().optional(),
name: z.string().optional(),
type: z.string().optional(),
})
export const zTrialWorkflowPartial = z.object({
created_at: z.coerce
.bigint()
.min(BigInt('-9223372036854775808'), {
error: 'Invalid value: Expected int64 to be >= -9223372036854775808',
})
.max(BigInt('9223372036854775807'), {
error: 'Invalid value: Expected int64 to be <= 9223372036854775807',
})
.optional(),
created_by: z.string().optional(),
id: z.string().optional(),
updated_at: z.coerce
.bigint()
.min(BigInt('-9223372036854775808'), {
error: 'Invalid value: Expected int64 to be >= -9223372036854775808',
})
.max(BigInt('9223372036854775807'), {
error: 'Invalid value: Expected int64 to be <= 9223372036854775807',
})
.optional(),
updated_by: z.string().optional(),
})
export const zTrialAppDetailWithSite = z.object({
access_mode: z.string().optional(),
api_base_url: z.string().optional(),
created_at: z.coerce
.bigint()
.min(BigInt('-9223372036854775808'), {
error: 'Invalid value: Expected int64 to be >= -9223372036854775808',
})
.max(BigInt('9223372036854775807'), {
error: 'Invalid value: Expected int64 to be <= 9223372036854775807',
})
.optional(),
created_by: z.string().optional(),
deleted_tools: z.array(zTrialDeletedTool).optional(),
description: z.string().optional(),
enable_api: z.boolean().optional(),
enable_site: z.boolean().optional(),
icon: z.string().optional(),
icon_background: z.string().optional(),
icon_type: z.string().optional(),
icon_url: z.string().optional(),
id: z.string().optional(),
max_active_requests: z.int().optional(),
mode: z.string().optional(),
model_config: zTrialAppModelConfig.optional(),
name: z.string().optional(),
permission_keys: z.array(z.string()).optional(),
site: zTrialSite.optional(),
tags: z.array(zTrialTag).optional(),
updated_at: z.coerce
.bigint()
.min(BigInt('-9223372036854775808'), {
error: 'Invalid value: Expected int64 to be >= -9223372036854775808',
})
.max(BigInt('9223372036854775807'), {
error: 'Invalid value: Expected int64 to be <= 9223372036854775807',
})
.optional(),
updated_by: z.string().optional(),
use_icon_as_answer_icon: z.boolean().optional(),
workflow: zTrialWorkflowPartial.optional(),
/**
* Tag
*/
export const zTag = z.object({
id: z.string(),
name: z.string(),
type: z.string(),
})
export const zJsonValue = z
@ -266,36 +88,78 @@ export const zJsonValue = z
.nullable()
/**
* GeneratedAppResponse
* ModelConfig
*/
export const zGeneratedAppResponse = zJsonValue
export const zTrialDataset = z.object({
created_at: z.coerce
.bigint()
.min(BigInt('-9223372036854775808'), {
error: 'Invalid value: Expected int64 to be >= -9223372036854775808',
})
.max(BigInt('9223372036854775807'), {
error: 'Invalid value: Expected int64 to be <= 9223372036854775807',
})
.optional(),
created_by: z.string().optional(),
data_source_type: z.string().optional(),
description: z.string().optional(),
id: z.string().optional(),
indexing_technique: z.string().optional(),
name: z.string().optional(),
permission: z.string().optional(),
permission_keys: z.array(z.string()).optional(),
export const zModelConfig = z.object({
agent_mode: zJsonValue.nullish(),
annotation_reply: zJsonValue.nullish(),
chat_prompt_config: zJsonValue.nullish(),
completion_prompt_config: zJsonValue.nullish(),
created_at: z.int().nullish(),
created_by: z.string().nullish(),
dataset_configs: zJsonValue.nullish(),
dataset_query_variable: z.string().nullish(),
external_data_tools: zJsonValue.nullish(),
file_upload: zJsonValue.nullish(),
model: zJsonValue.nullish(),
more_like_this: zJsonValue.nullish(),
opening_statement: z.string().nullish(),
pre_prompt: z.string().nullish(),
prompt_type: z.string().nullish(),
retriever_resource: zJsonValue.nullish(),
sensitive_word_avoidance: zJsonValue.nullish(),
speech_to_text: zJsonValue.nullish(),
suggested_questions: zJsonValue.nullish(),
suggested_questions_after_answer: zJsonValue.nullish(),
text_to_speech: zJsonValue.nullish(),
updated_at: z.int().nullish(),
updated_by: z.string().nullish(),
user_input_form: zJsonValue.nullish(),
})
export const zTrialDatasetList = z.object({
data: z.array(zTrialDataset).optional(),
has_more: z.boolean().optional(),
limit: z.int().optional(),
page: z.int().optional(),
total: z.int().optional(),
/**
* WorkflowPartial
*/
export const zWorkflowPartial = z.object({
created_at: z.int().nullish(),
created_by: z.string().nullish(),
id: z.string(),
updated_at: z.int().nullish(),
updated_by: z.string().nullish(),
})
/**
* AppDetailWithSite
*/
export const zAppDetailWithSite = z.object({
access_mode: z.string().nullish(),
api_base_url: z.string().nullish(),
app_id: z.string().nullish(),
bound_agent_id: z.string().nullish(),
created_at: z.int().nullish(),
created_by: z.string().nullish(),
deleted_tools: z.array(zDeletedTool).optional(),
description: z.string().nullish(),
enable_api: z.boolean(),
enable_site: z.boolean(),
icon: z.string().nullish(),
icon_background: z.string().nullish(),
icon_type: z.string().nullish(),
icon_url: z.string().nullable(),
id: z.string(),
maintainer: z.string().nullish(),
max_active_requests: z.int().nullish(),
mode: z.string(),
model_config: zModelConfig.nullish(),
name: z.string(),
permission_keys: z.array(z.string()).optional(),
site: zSite.nullish(),
tags: z.array(zTag).optional(),
tracing: zJsonValue.nullish(),
updated_at: z.int().nullish(),
updated_by: z.string().nullish(),
use_icon_as_answer_icon: z.boolean().nullish(),
workflow: zWorkflowPartial.nullish(),
})
export const zJsonObject = z.record(z.string(), z.unknown())
@ -329,93 +193,235 @@ export const zParameters = z.object({
user_input_form: z.array(zJsonObject),
})
export const zTrialConversationVariable = z.object({
description: z.string().optional(),
id: z.string().optional(),
name: z.string().optional(),
value: z
.union([
z.string(),
z.int(),
z.number(),
z.boolean(),
z.record(z.string(), z.unknown()),
z.array(z.unknown()),
])
.nullish(),
value_type: z.string().optional(),
})
export const zTrialSimpleAccount = z.object({
email: z.string().optional(),
id: z.string().optional(),
name: z.string().optional(),
})
export const zTrialPipelineVariable = z.object({
allow_file_extension: z.array(z.string()).optional(),
allow_file_upload_methods: z.array(z.string()).optional(),
allowed_file_types: z.array(z.string()).optional(),
belong_to_node_id: z.string().optional(),
default_value: z
.union([
z.string(),
z.int(),
z.number(),
z.boolean(),
z.record(z.string(), z.unknown()),
z.array(z.unknown()),
])
.nullish(),
label: z.string().optional(),
max_length: z.int().optional(),
options: z.array(z.string()).optional(),
placeholder: z.string().optional(),
required: z.boolean().optional(),
tooltips: z.string().optional(),
type: z.string().optional(),
unit: z.string().optional(),
variable: z.string().optional(),
})
export const zTrialWorkflow = z.object({
conversation_variables: z.array(zTrialConversationVariable).optional(),
created_at: z.coerce
.bigint()
.min(BigInt('-9223372036854775808'), {
error: 'Invalid value: Expected int64 to be >= -9223372036854775808',
})
.max(BigInt('9223372036854775807'), {
error: 'Invalid value: Expected int64 to be <= 9223372036854775807',
})
.optional(),
created_by: zTrialSimpleAccount.optional(),
environment_variables: z.array(z.record(z.string(), z.unknown())).optional(),
features: z.record(z.string(), z.unknown()).optional(),
graph: z.record(z.string(), z.unknown()).optional(),
hash: z.string().optional(),
id: z.string().optional(),
marked_comment: z.string().optional(),
marked_name: z.string().optional(),
rag_pipeline_variables: z.array(zTrialPipelineVariable).optional(),
tool_published: z.boolean().optional(),
updated_at: z.coerce
.bigint()
.min(BigInt('-9223372036854775808'), {
error: 'Invalid value: Expected int64 to be >= -9223372036854775808',
})
.max(BigInt('9223372036854775807'), {
error: 'Invalid value: Expected int64 to be <= 9223372036854775807',
})
.optional(),
updated_by: zTrialSimpleAccount.optional(),
version: z.string().optional(),
/**
* WorkflowConversationVariableResponse
*/
export const zWorkflowConversationVariableResponse = z.object({
description: z.string(),
id: z.string(),
name: z.string(),
value: z.unknown(),
value_type: z.string(),
})
/**
* GeneratedAppResponse
* SimpleAccountResponse
*/
export const zGeneratedAppResponseWritable = zJsonValue
export const zSimpleAccountResponse = z.object({
email: z.string(),
id: z.string(),
name: z.string(),
})
/**
* WorkflowEnvironmentVariableResponse
*/
export const zWorkflowEnvironmentVariableResponse = z.object({
description: z.string(),
id: z.string(),
name: z.string(),
value: z.unknown(),
value_type: z.string(),
})
/**
* PipelineVariableResponse
*/
export const zPipelineVariableResponse = z.object({
allowed_file_extensions: z.array(z.string()).nullish(),
allowed_file_types: z.array(z.string()).nullish(),
allowed_file_upload_methods: z.array(z.string()).nullish(),
belong_to_node_id: z.string(),
default_value: z.unknown().optional(),
label: z.string(),
max_length: z.int().nullish(),
options: z.array(z.string()).nullish(),
placeholder: z.string().nullish(),
required: z.boolean(),
tooltips: z.string().nullish(),
type: z.string(),
unit: z.string().nullish(),
variable: z.string(),
})
/**
* WorkflowResponse
*/
export const zWorkflowResponse = z.object({
conversation_variables: z.array(zWorkflowConversationVariableResponse),
created_at: z.int(),
created_by: zSimpleAccountResponse.nullish(),
environment_variables: z.array(zWorkflowEnvironmentVariableResponse),
features: z.record(z.string(), z.unknown()),
graph: z.record(z.string(), z.unknown()),
hash: z.string(),
id: z.string(),
marked_comment: z.string(),
marked_name: z.string(),
rag_pipeline_variables: z.array(zPipelineVariableResponse),
tool_published: z.boolean(),
updated_at: z.int(),
updated_by: zSimpleAccountResponse.nullish(),
version: z.string(),
})
/**
* DatasetDocMetadataResponse
*/
export const zDatasetDocMetadataResponse = z.object({
id: z.string(),
name: z.string(),
type: z.string(),
})
/**
* DatasetExternalKnowledgeInfoResponse
*/
export const zDatasetExternalKnowledgeInfoResponse = z.object({
external_knowledge_api_endpoint: z.string().nullish(),
external_knowledge_api_id: z.string().nullish(),
external_knowledge_api_name: z.string().nullish(),
external_knowledge_id: z.string().nullish(),
})
/**
* DatasetExternalRetrievalModelResponse
*/
export const zDatasetExternalRetrievalModelResponse = z.object({
score_threshold: z.number().nullish(),
score_threshold_enabled: z.boolean().nullish(),
top_k: z.int(),
})
/**
* DatasetIconInfoResponse
*/
export const zDatasetIconInfoResponse = z.object({
icon: z.string().nullish(),
icon_background: z.string().nullish(),
icon_type: z.string().nullish(),
icon_url: z.string().nullish(),
})
/**
* DatasetSummaryIndexSettingResponse
*/
export const zDatasetSummaryIndexSettingResponse = z.object({
enable: z.boolean().nullish(),
model_name: z.string().nullish(),
model_provider_name: z.string().nullish(),
summary_prompt: z.string().nullish(),
})
/**
* DatasetTagResponse
*/
export const zDatasetTagResponse = z.object({
id: z.string(),
name: z.string(),
type: z.string(),
})
/**
* DatasetRerankingModelResponse
*/
export const zDatasetRerankingModelResponse = z.object({
reranking_model_name: z.string().nullish(),
reranking_provider_name: z.string().nullish(),
})
/**
* DatasetKeywordSettingResponse
*/
export const zDatasetKeywordSettingResponse = z.object({
keyword_weight: z.number().nullish(),
})
/**
* DatasetVectorSettingResponse
*/
export const zDatasetVectorSettingResponse = z.object({
embedding_model_name: z.string().nullish(),
embedding_provider_name: z.string().nullish(),
vector_weight: z.number().nullish(),
})
/**
* DatasetWeightedScoreResponse
*/
export const zDatasetWeightedScoreResponse = z.object({
keyword_setting: zDatasetKeywordSettingResponse.optional(),
vector_setting: zDatasetVectorSettingResponse.optional(),
weight_type: z.string().nullish(),
})
/**
* DatasetRetrievalModelResponse
*/
export const zDatasetRetrievalModelResponse = z.object({
reranking_enable: z.boolean(),
reranking_mode: z.string().nullish(),
reranking_model: zDatasetRerankingModelResponse.optional(),
score_threshold: z.number().nullish(),
score_threshold_enabled: z.boolean(),
search_method: z.string(),
top_k: z.int(),
weights: zDatasetWeightedScoreResponse.nullish(),
})
/**
* TrialDatasetListItemResponse
*/
export const zTrialDatasetListItemResponse = z.object({
app_count: z.int(),
author_name: z.string().nullable(),
built_in_field_enabled: z.boolean(),
chunk_structure: z.string().nullable(),
created_at: z.int(),
created_by: z.string(),
data_source_type: z.string().nullable(),
description: z.string().nullable(),
doc_form: z.string().nullable(),
doc_metadata: z.array(zDatasetDocMetadataResponse),
document_count: z.int(),
embedding_available: z.boolean().nullish(),
embedding_model: z.string().nullable(),
embedding_model_provider: z.string().nullable(),
enable_api: z.boolean(),
external_knowledge_info: zDatasetExternalKnowledgeInfoResponse.optional(),
external_retrieval_model: zDatasetExternalRetrievalModelResponse.nullable(),
icon_info: zDatasetIconInfoResponse.optional(),
id: z.string(),
indexing_technique: z.string().nullable(),
is_multimodal: z.boolean(),
is_published: z.boolean(),
maintainer: z.string().nullish(),
name: z.string(),
permission: z.string(),
permission_keys: z.array(z.string()).optional(),
pipeline_id: z.string().nullable(),
provider: z.string(),
retrieval_model_dict: zDatasetRetrievalModelResponse,
runtime_mode: z.string().nullable(),
summary_index_setting: zDatasetSummaryIndexSettingResponse.optional(),
tags: z.array(zDatasetTagResponse),
total_available_documents: z.int(),
total_documents: z.int(),
updated_at: z.int(),
updated_by: z.string().nullable(),
word_count: z.int(),
})
/**
* TrialDatasetListResponse
*/
export const zTrialDatasetListResponse = z.object({
data: z.array(zTrialDatasetListItemResponse),
has_more: z.boolean(),
limit: z.int(),
page: z.int(),
total: z.int(),
})
/**
* Site
@ -436,14 +442,47 @@ export const zSiteWritable = z.object({
use_icon_as_answer_icon: z.boolean(),
})
/**
* AppDetailWithSite
*/
export const zAppDetailWithSiteWritable = z.object({
access_mode: z.string().nullish(),
api_base_url: z.string().nullish(),
app_id: z.string().nullish(),
bound_agent_id: z.string().nullish(),
created_at: z.int().nullish(),
created_by: z.string().nullish(),
deleted_tools: z.array(zDeletedTool).optional(),
description: z.string().nullish(),
enable_api: z.boolean(),
enable_site: z.boolean(),
icon: z.string().nullish(),
icon_background: z.string().nullish(),
icon_type: z.string().nullish(),
id: z.string(),
maintainer: z.string().nullish(),
max_active_requests: z.int().nullish(),
mode: z.string(),
model_config: zModelConfig.nullish(),
name: z.string(),
permission_keys: z.array(z.string()).optional(),
site: zSiteWritable.nullish(),
tags: z.array(zTag).optional(),
tracing: zJsonValue.nullish(),
updated_at: z.int().nullish(),
updated_by: z.string().nullish(),
use_icon_as_answer_icon: z.boolean().nullish(),
workflow: zWorkflowPartial.nullish(),
})
export const zGetTrialAppsByAppIdPath = z.object({
app_id: z.uuid(),
})
/**
* Success
* App detail retrieved successfully
*/
export const zGetTrialAppsByAppIdResponse = zTrialAppDetailWithSite
export const zGetTrialAppsByAppIdResponse = zAppDetailWithSite
export const zPostTrialAppsByAppIdAudioToTextPath = z.object({
app_id: z.uuid(),
@ -454,28 +493,6 @@ export const zPostTrialAppsByAppIdAudioToTextPath = z.object({
*/
export const zPostTrialAppsByAppIdAudioToTextResponse = zAudioTranscriptResponse
export const zPostTrialAppsByAppIdChatMessagesBody = zChatRequest
export const zPostTrialAppsByAppIdChatMessagesPath = z.object({
app_id: z.uuid(),
})
/**
* Success
*/
export const zPostTrialAppsByAppIdChatMessagesResponse = zGeneratedAppResponse
export const zPostTrialAppsByAppIdCompletionMessagesBody = zCompletionRequest
export const zPostTrialAppsByAppIdCompletionMessagesPath = z.object({
app_id: z.uuid(),
})
/**
* Success
*/
export const zPostTrialAppsByAppIdCompletionMessagesResponse = zGeneratedAppResponse
export const zGetTrialAppsByAppIdDatasetsPath = z.object({
app_id: z.uuid(),
})
@ -489,7 +506,7 @@ export const zGetTrialAppsByAppIdDatasetsQuery = z.object({
/**
* Success
*/
export const zGetTrialAppsByAppIdDatasetsResponse = zTrialDatasetList
export const zGetTrialAppsByAppIdDatasetsResponse = zTrialDatasetListResponse
export const zGetTrialAppsByAppIdMessagesByMessageIdSuggestedQuestionsPath = z.object({
app_id: z.uuid(),
@ -536,20 +553,9 @@ export const zGetTrialAppsByAppIdWorkflowsPath = z.object({
})
/**
* Success
* Workflow detail retrieved successfully
*/
export const zGetTrialAppsByAppIdWorkflowsResponse = zTrialWorkflow
export const zPostTrialAppsByAppIdWorkflowsRunBody = zWorkflowRunRequest
export const zPostTrialAppsByAppIdWorkflowsRunPath = z.object({
app_id: z.uuid(),
})
/**
* Success
*/
export const zPostTrialAppsByAppIdWorkflowsRunResponse = zGeneratedAppResponse
export const zGetTrialAppsByAppIdWorkflowsResponse = zWorkflowResponse
export const zPostTrialAppsByAppIdWorkflowsTasksByTaskIdStopPath = z.object({
app_id: z.uuid(),

View File

@ -17,15 +17,42 @@ export type WorkflowGeneratePayload = {
export type GeneratorResponse = unknown
export type ModelConfig = {
completion_params?: {
[key: string]: unknown
}
mode: LlmMode
name: string
provider: string
agent_mode?: JsonValue | null
annotation_reply?: JsonValue | null
chat_prompt_config?: JsonValue | null
completion_prompt_config?: JsonValue | null
created_at?: number | null
created_by?: string | null
dataset_configs?: JsonValue | null
dataset_query_variable?: string | null
external_data_tools?: JsonValue | null
file_upload?: JsonValue | null
model?: JsonValue | null
more_like_this?: JsonValue | null
opening_statement?: string | null
pre_prompt?: string | null
prompt_type?: string | null
retriever_resource?: JsonValue | null
sensitive_word_avoidance?: JsonValue | null
speech_to_text?: JsonValue | null
suggested_questions?: JsonValue | null
suggested_questions_after_answer?: JsonValue | null
text_to_speech?: JsonValue | null
updated_at?: number | null
updated_by?: string | null
user_input_form?: JsonValue | null
}
export type LlmMode = 'chat' | 'completion'
export type JsonValue
= | string
| number
| number
| boolean
| {
[key: string]: unknown
}
| Array<unknown>
| null
export type PostWorkflowGenerateData = {
body: WorkflowGeneratePayload

View File

@ -7,21 +7,45 @@ import * as z from 'zod'
*/
export const zGeneratorResponse = z.unknown()
/**
* LLMMode
*
* Enum class for large language model mode.
*/
export const zLlmMode = z.enum(['chat', 'completion'])
export const zJsonValue = z
.union([
z.string(),
z.int(),
z.number(),
z.boolean(),
z.record(z.string(), z.unknown()),
z.array(z.unknown()),
])
.nullable()
/**
* ModelConfig
*/
export const zModelConfig = z.object({
completion_params: z.record(z.string(), z.unknown()).optional(),
mode: zLlmMode,
name: z.string(),
provider: z.string(),
agent_mode: zJsonValue.nullish(),
annotation_reply: zJsonValue.nullish(),
chat_prompt_config: zJsonValue.nullish(),
completion_prompt_config: zJsonValue.nullish(),
created_at: z.int().nullish(),
created_by: z.string().nullish(),
dataset_configs: zJsonValue.nullish(),
dataset_query_variable: z.string().nullish(),
external_data_tools: zJsonValue.nullish(),
file_upload: zJsonValue.nullish(),
model: zJsonValue.nullish(),
more_like_this: zJsonValue.nullish(),
opening_statement: z.string().nullish(),
pre_prompt: z.string().nullish(),
prompt_type: z.string().nullish(),
retriever_resource: zJsonValue.nullish(),
sensitive_word_avoidance: zJsonValue.nullish(),
speech_to_text: zJsonValue.nullish(),
suggested_questions: zJsonValue.nullish(),
suggested_questions_after_answer: zJsonValue.nullish(),
text_to_speech: zJsonValue.nullish(),
updated_at: z.int().nullish(),
updated_by: z.string().nullish(),
user_input_form: zJsonValue.nullish(),
})
/**

View File

@ -104,8 +104,8 @@ export type SnippetUseCountResponse = {
use_count: number
}
export type AccountWithRoleList = {
accounts: Array<AccountWithRole>
export type AccountWithRoleListResponse = {
accounts: Array<AccountWithRoleResponse>
}
export type DefaultModelDataResponse = {
@ -921,7 +921,7 @@ export type AnonymousInlineModel7B8B49Ca164e = {
type?: string
}
export type AccountWithRole = {
export type AccountWithRoleResponse = {
avatar?: string | null
created_at?: number | null
email: string
@ -1777,7 +1777,7 @@ export type GetWorkspacesCurrentDatasetOperatorsData = {
}
export type GetWorkspacesCurrentDatasetOperatorsResponses = {
200: AccountWithRoleList
200: AccountWithRoleListResponse
}
export type GetWorkspacesCurrentDatasetOperatorsResponse
@ -2004,7 +2004,7 @@ export type GetWorkspacesCurrentMembersData = {
}
export type GetWorkspacesCurrentMembersResponses = {
200: AccountWithRoleList
200: AccountWithRoleListResponse
}
export type GetWorkspacesCurrentMembersResponse

View File

@ -889,9 +889,9 @@ export const zSnippetPagination = z.object({
})
/**
* AccountWithRole
* AccountWithRoleResponse
*/
export const zAccountWithRole = z.object({
export const zAccountWithRoleResponse = z.object({
avatar: z.string().nullish(),
created_at: z.int().nullish(),
email: z.string(),
@ -905,10 +905,10 @@ export const zAccountWithRole = z.object({
})
/**
* AccountWithRoleList
* AccountWithRoleListResponse
*/
export const zAccountWithRoleList = z.object({
accounts: z.array(zAccountWithRole),
export const zAccountWithRoleListResponse = z.object({
accounts: z.array(zAccountWithRoleResponse),
})
/**
@ -2274,7 +2274,7 @@ export const zPostWorkspacesCurrentCustomizedSnippetsBySnippetIdUseCountIncremen
/**
* Success
*/
export const zGetWorkspacesCurrentDatasetOperatorsResponse = zAccountWithRoleList
export const zGetWorkspacesCurrentDatasetOperatorsResponse = zAccountWithRoleListResponse
export const zGetWorkspacesCurrentDefaultModelQuery = z.object({
model_type: z.enum(['llm', 'moderation', 'rerank', 'speech2text', 'text-embedding', 'tts']),
@ -2378,7 +2378,7 @@ export const zPatchWorkspacesCurrentEndpointsByIdResponse = zEndpointUpdateRespo
/**
* Success
*/
export const zGetWorkspacesCurrentMembersResponse = zAccountWithRoleList
export const zGetWorkspacesCurrentMembersResponse = zAccountWithRoleListResponse
export const zPostWorkspacesCurrentMembersInviteEmailBody = zMemberInvitePayload

View File

@ -1474,16 +1474,20 @@ export const get13 = oc
.output(zGetDatasetsByDatasetIdDocumentsByDocumentIdResponse)
/**
* Update an existing document by uploading a file
* Update Document by File
*
* Update an existing document by uploading a new file. Re-triggers indexing use the returned `batch` ID with [Get Document Indexing Status](/api-reference/documents/get-document-indexing-status) to track progress.
*/
export const patch4 = oc
.route({
description: 'Update an existing document by uploading a file',
description:
'Update an existing document by uploading a new file. Re-triggers indexing — use the returned `batch` ID with [Get Document Indexing Status](/api-reference/documents/get-document-indexing-status) to track progress.',
inputStructure: 'detailed',
method: 'PATCH',
operationId: 'patchDatasetsByDatasetIdDocumentsByDocumentId',
path: '/datasets/{dataset_id}/documents/{document_id}',
tags: ['service_api'],
summary: 'Update Document by File',
tags: ['Documents'],
})
.input(
z.object({

View File

@ -592,40 +592,45 @@ export type DocumentBatchDownloadZipPayload = {
}
export type DocumentDetailResponse = {
archived?: boolean | null
average_segment_length?: number | null
archived?: boolean
average_segment_length?: number | number
completed_at?: number | null
created_at?: number | null
created_by?: string | null
created_from?: string | null
created_at?: number
created_by?: string
created_from?: string
data_source_info?: {
[key: string]: unknown
} | null
data_source_type?: string | null
}
data_source_type?: string
dataset_process_rule?: {
[key: string]: unknown
} | null
}
dataset_process_rule_id?: string | null
disabled_at?: number | null
disabled_by?: string | null
display_status?: string | null
doc_form?: string | null
doc_form?: string
doc_language?: string | null
doc_metadata?: Array<DocumentMetadataResponse> | null
doc_metadata?:
| Array<DocumentMetadataResponse>
| {
[key: string]: unknown
}
| null
doc_type?: string | null
document_process_rule?: {
[key: string]: unknown
} | null
enabled?: boolean | null
}
enabled?: boolean
error?: string | null
hit_count?: number | null
hit_count?: number
id: string
indexing_latency?: number | null
indexing_status?: string | null
name?: string | null
need_summary?: boolean | null
position?: number | null
segment_count?: number | null
indexing_status?: string
name?: string
need_summary?: boolean
position?: number
segment_count?: number
summary_index_status?: string | null
tokens?: number | null
updated_at?: number | null
@ -1414,7 +1419,7 @@ export type SelectInputConfig = {
type?: 'select'
}
export type SimpleAccount = {
export type SimpleAccountResponse = {
email: string
id: string
name: string
@ -1572,7 +1577,7 @@ export type WorkflowAppLogPaginationResponse = {
export type WorkflowAppLogPartialResponse = {
created_at?: number | null
created_by_account?: SimpleAccount | null
created_by_account?: SimpleAccountResponse | null
created_by_end_user?: SimpleEndUser | null
created_by_role?: string | null
created_from?: string | null
@ -2624,6 +2629,7 @@ export type PatchDatasetsByDatasetIdDocumentsByDocumentIdData = {
}
export type PatchDatasetsByDatasetIdDocumentsByDocumentIdErrors = {
400: unknown
401: unknown
403: unknown
404: unknown

View File

@ -761,34 +761,36 @@ export const zDocumentMetadataResponse = z.object({
* DocumentDetailResponse
*/
export const zDocumentDetailResponse = z.object({
archived: z.boolean().nullish(),
average_segment_length: z.number().nullish(),
archived: z.boolean().optional(),
average_segment_length: z.union([z.int(), z.number()]).optional(),
completed_at: z.int().nullish(),
created_at: z.int().nullish(),
created_by: z.string().nullish(),
created_from: z.string().nullish(),
data_source_info: z.record(z.string(), z.unknown()).nullish(),
data_source_type: z.string().nullish(),
dataset_process_rule: z.record(z.string(), z.unknown()).nullish(),
created_at: z.int().optional(),
created_by: z.string().optional(),
created_from: z.string().optional(),
data_source_info: z.record(z.string(), z.unknown()).optional(),
data_source_type: z.string().optional(),
dataset_process_rule: z.record(z.string(), z.unknown()).optional(),
dataset_process_rule_id: z.string().nullish(),
disabled_at: z.int().nullish(),
disabled_by: z.string().nullish(),
display_status: z.string().nullish(),
doc_form: z.string().nullish(),
doc_form: z.string().optional(),
doc_language: z.string().nullish(),
doc_metadata: z.array(zDocumentMetadataResponse).nullish(),
doc_metadata: z
.union([z.array(zDocumentMetadataResponse), z.record(z.string(), z.unknown())])
.nullish(),
doc_type: z.string().nullish(),
document_process_rule: z.record(z.string(), z.unknown()).nullish(),
enabled: z.boolean().nullish(),
document_process_rule: z.record(z.string(), z.unknown()).optional(),
enabled: z.boolean().optional(),
error: z.string().nullish(),
hit_count: z.int().nullish(),
hit_count: z.int().optional(),
id: z.string(),
indexing_latency: z.number().nullish(),
indexing_status: z.string().nullish(),
name: z.string().nullish(),
need_summary: z.boolean().nullish(),
position: z.int().nullish(),
segment_count: z.int().nullish(),
indexing_status: z.string().optional(),
name: z.string().optional(),
need_summary: z.boolean().optional(),
position: z.int().optional(),
segment_count: z.int().optional(),
summary_index_status: z.string().nullish(),
tokens: z.int().nullish(),
updated_at: z.int().nullish(),
@ -1676,9 +1678,9 @@ export const zProcessRule = z.object({
})
/**
* SimpleAccount
* SimpleAccountResponse
*/
export const zSimpleAccount = z.object({
export const zSimpleAccountResponse = z.object({
email: z.string(),
id: z.string(),
name: z.string(),
@ -2196,7 +2198,7 @@ export const zWorkflowRunForLogResponse = z.object({
*/
export const zWorkflowAppLogPartialResponse = z.object({
created_at: z.int().nullish(),
created_by_account: zSimpleAccount.nullish(),
created_by_account: zSimpleAccountResponse.nullish(),
created_by_end_user: zSimpleEndUser.nullish(),
created_by_role: z.string().nullish(),
created_from: z.string().nullish(),
@ -2756,7 +2758,7 @@ export const zPatchDatasetsByDatasetIdDocumentsByDocumentIdPath = z.object({
})
/**
* Document updated successfully
* Document updated successfully.
*/
export const zPatchDatasetsByDatasetIdDocumentsByDocumentIdResponse = zDocumentAndBatchResponse

View File

@ -10,13 +10,21 @@ type SwaggerSchema = JsonObject & {
$ref?: string
}
type OpenApiMediaType = JsonObject & {
schema?: SwaggerSchema
}
type OpenApiResponse = JsonObject & {
content?: Record<string, OpenApiMediaType>
}
type OpenApiComponents = JsonObject & {
schemas?: Record<string, SwaggerSchema>
}
type SwaggerOperation = JsonObject & {
operationId?: string
responses?: Record<string, unknown>
responses?: Record<string, OpenApiResponse>
}
type SwaggerDocument = JsonObject & {
@ -52,6 +60,17 @@ const currentDir = path.dirname(fileURLToPath(import.meta.url))
const apiOpenApiDir = path.resolve(currentDir, 'openapi')
const operationMethods = new Set(['delete', 'get', 'patch', 'post', 'put'])
const pydanticDecimalStringPattern = '^(?!^[-+.]*$)[+-]?0*\\d*\\.?\\d*$'
const codegenSafeDecimalStringPattern = '^(?![-+.]*$)[+-]?0*\\d*\\.?\\d*$'
const opaqueJsonContent = (): Record<string, OpenApiMediaType> => ({
'application/json': {
schema: {
additionalProperties: true,
type: 'object',
},
},
})
const apiSpecs: ApiSpec[] = [
{ filename: 'console-openapi.json', name: 'console' },
@ -182,6 +201,46 @@ const addOperationIds = (document: SwaggerDocument) => {
}
}
const isOpaqueContractResponse = (response: OpenApiResponse) => {
const content = response.content
if (!isObject(content))
return false
return Object.entries(content).some(([mediaType, media]) => {
if (!isObject(media))
return false
return (mediaType === 'application/json' || mediaType === 'text/event-stream') && !('schema' in media)
})
}
const hasOpaqueContractSuccessResponse = (operation: SwaggerOperation) => {
return Object.entries(operation.responses ?? {}).some(([status, response]) => {
return /^2\d\d$/.test(status) && isObject(response) && isOpaqueContractResponse(response)
})
}
const normalizeOpaqueContractResponses = (document: SwaggerDocument) => {
// Some backend endpoints has no schema (e.g. external) and will trap heyapi here
// So we forge an opaque schema here
for (const pathItem of Object.values(document.paths ?? {})) {
for (const [method, operation] of Object.entries(pathItem)) {
if (!operationMethods.has(method) || !isObject(operation))
continue
const swaggerOperation = operation as SwaggerOperation
if (!hasOpaqueContractSuccessResponse(swaggerOperation))
continue
Object.values(swaggerOperation.responses ?? {})
.filter(response => isObject(response) && isOpaqueContractResponse(response))
.forEach((response) => {
response.content = opaqueJsonContent()
})
}
}
}
const hasSuccessResponse = (operation: SwaggerOperation) => {
return Object.entries(operation.responses ?? {}).some(([status, response]) => {
if (!/^2\d\d$/.test(status))
@ -215,6 +274,7 @@ const filterContractOperations = (document: SwaggerDocument) => {
}
const normalizeApiSwagger = (document: SwaggerDocument) => {
normalizeOpaqueContractResponses(document)
filterContractOperations(document)
addOperationIds(document)
@ -380,10 +440,20 @@ const createApiConfig = (job: ApiJob): UserConfig => ({
'name': 'zod',
'~resolvers': {
string: (ctx) => {
if (ctx.schema.format !== 'binary')
return undefined
if (ctx.schema.format === 'binary')
return $(ctx.symbols.z).attr('custom').call().generic($.type.or($.type('Blob'), $.type('File')))
return $(ctx.symbols.z).attr('custom').call().generic($.type.or($.type('Blob'), $.type('File')))
if (ctx.schema.pattern === pydanticDecimalStringPattern) {
// the pydantic generated regex will emit error like
// regexp/no-useless-assertions, so patch the regex here
return $(ctx.symbols.z)
.attr('string')
.call()
.attr('regex')
.call($.regexp(codegenSafeDecimalStringPattern))
}
return undefined
},
},
},

View File

@ -217,14 +217,8 @@ const toFeedback = (feedback: NonNullable<MessageDetailResponse['feedbacks']>[nu
}
}
type AgentDebugMessageWithLegacyAnswer = MessageDetailResponse & {
answer?: string | null
}
const getAgentDebugMessageAnswer = (message: MessageDetailResponse) => {
const legacyAnswer = (message as AgentDebugMessageWithLegacyAnswer).answer
return message.re_sign_file_url_answer ?? legacyAnswer ?? ''
return message.answer ?? ''
}
function getFormattedAgentDebugChatTree(messages: MessageDetailResponse[]): ChatItemInTree[] {