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28
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1b940e7daa |
@@ -5,6 +5,7 @@ on:
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branches:
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- "main"
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- "deploy/dev"
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||||
- "0.15.1-admin-apis"
|
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release:
|
||||
types: [published]
|
||||
|
||||
|
||||
@@ -82,6 +82,33 @@ jobs:
|
||||
if: steps.changed-files.outputs.any_changed == 'true'
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||||
run: yarn run lint
|
||||
|
||||
docker-compose-template:
|
||||
name: Docker Compose Template
|
||||
runs-on: ubuntu-latest
|
||||
|
||||
steps:
|
||||
- name: Checkout code
|
||||
uses: actions/checkout@v4
|
||||
|
||||
- name: Check changed files
|
||||
id: changed-files
|
||||
uses: tj-actions/changed-files@v45
|
||||
with:
|
||||
files: |
|
||||
docker/generate_docker_compose
|
||||
docker/.env.example
|
||||
docker/docker-compose-template.yaml
|
||||
docker/docker-compose.yaml
|
||||
|
||||
- name: Generate Docker Compose
|
||||
if: steps.changed-files.outputs.any_changed == 'true'
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||||
run: |
|
||||
cd docker
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||||
./generate_docker_compose
|
||||
|
||||
- name: Check for changes
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||||
if: steps.changed-files.outputs.any_changed == 'true'
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||||
run: git diff --exit-code
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||||
|
||||
superlinter:
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||||
name: SuperLinter
|
||||
|
||||
@@ -9,7 +9,7 @@ class PackagingInfo(BaseSettings):
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||||
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||||
CURRENT_VERSION: str = Field(
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||||
description="Dify version",
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||||
default="0.15.0",
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||||
default="0.15.1",
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||||
)
|
||||
|
||||
COMMIT_SHA: str = Field(
|
||||
|
||||
@@ -22,7 +22,7 @@ from controllers.console.wraps import account_initialization_required, setup_req
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from core.errors.error import ModelCurrentlyNotSupportError, ProviderTokenNotInitError, QuotaExceededError
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from core.model_runtime.errors.invoke import InvokeError
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from libs.login import login_required
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from models.model import AppMode
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from models import App, AppMode
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||||
from services.audio_service import AudioService
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from services.errors.audio import (
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||||
AudioTooLargeServiceError,
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||||
@@ -79,7 +79,7 @@ class ChatMessageTextApi(Resource):
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@login_required
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@account_initialization_required
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@get_app_model
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def post(self, app_model):
|
||||
def post(self, app_model: App):
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||||
from werkzeug.exceptions import InternalServerError
|
||||
|
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try:
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@@ -98,9 +98,13 @@ class ChatMessageTextApi(Resource):
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and app_model.workflow.features_dict
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||||
):
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text_to_speech = app_model.workflow.features_dict.get("text_to_speech")
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if text_to_speech is None:
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raise ValueError("TTS is not enabled")
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voice = args.get("voice") or text_to_speech.get("voice")
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else:
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try:
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if app_model.app_model_config is None:
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raise ValueError("AppModelConfig not found")
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voice = args.get("voice") or app_model.app_model_config.text_to_speech_dict.get("voice")
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except Exception:
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voice = None
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||||
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||||
@@ -52,12 +52,12 @@ class DatasetListApi(Resource):
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# provider = request.args.get("provider", default="vendor")
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search = request.args.get("keyword", default=None, type=str)
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tag_ids = request.args.getlist("tag_ids")
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||||
|
||||
include_all = request.args.get("include_all", default="false").lower() == "true"
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if ids:
|
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datasets, total = DatasetService.get_datasets_by_ids(ids, current_user.current_tenant_id)
|
||||
else:
|
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datasets, total = DatasetService.get_datasets(
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||||
page, limit, current_user.current_tenant_id, current_user, search, tag_ids
|
||||
page, limit, current_user.current_tenant_id, current_user, search, tag_ids, include_all
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||||
)
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||||
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||||
# check embedding setting
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||||
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||||
@@ -368,9 +368,9 @@ class DatasetDocumentSegmentBatchImportApi(Resource):
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||||
result = []
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for index, row in df.iterrows():
|
||||
if document.doc_form == "qa_model":
|
||||
data = {"content": row[0], "answer": row[1]}
|
||||
data = {"content": row.iloc[0], "answer": row.iloc[1]}
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||||
else:
|
||||
data = {"content": row[0]}
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||||
data = {"content": row.iloc[0]}
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||||
result.append(data)
|
||||
if len(result) == 0:
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raise ValueError("The CSV file is empty.")
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||||
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@@ -32,7 +32,7 @@ class ConversationListApi(InstalledAppResource):
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||||
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pinned = None
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if "pinned" in args and args["pinned"] is not None:
|
||||
pinned = True if args["pinned"] == "true" else False
|
||||
pinned = args["pinned"] == "true"
|
||||
|
||||
try:
|
||||
with Session(db.engine) as session:
|
||||
|
||||
@@ -1,3 +1,5 @@
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||||
import json
|
||||
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||||
from flask_restful import Resource, reqparse # type: ignore
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||||
|
||||
from controllers.console.wraps import setup_required
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@@ -29,4 +31,34 @@ class EnterpriseWorkspace(Resource):
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return {"message": "enterprise workspace created."}
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||||
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||||
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||||
class EnterpriseWorkspaceNoOwnerEmail(Resource):
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@setup_required
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@inner_api_only
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def post(self):
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parser = reqparse.RequestParser()
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parser.add_argument("name", type=str, required=True, location="json")
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args = parser.parse_args()
|
||||
|
||||
tenant = TenantService.create_tenant(args["name"], is_from_dashboard=True)
|
||||
|
||||
tenant_was_created.send(tenant)
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||||
|
||||
resp = {
|
||||
"id": tenant.id,
|
||||
"name": tenant.name,
|
||||
"encrypt_public_key": tenant.encrypt_public_key,
|
||||
"plan": tenant.plan,
|
||||
"status": tenant.status,
|
||||
"custom_config": json.loads(tenant.custom_config) if tenant.custom_config else {},
|
||||
"created_at": tenant.created_at.isoformat() if tenant.created_at else None,
|
||||
"updated_at": tenant.updated_at.isoformat() if tenant.updated_at else None,
|
||||
}
|
||||
|
||||
return {
|
||||
"message": "enterprise workspace created.",
|
||||
"tenant": resp,
|
||||
}
|
||||
|
||||
|
||||
api.add_resource(EnterpriseWorkspace, "/enterprise/workspace")
|
||||
api.add_resource(EnterpriseWorkspaceNoOwnerEmail, "/enterprise/workspace/ownerless")
|
||||
|
||||
@@ -7,4 +7,4 @@ api = ExternalApi(bp)
|
||||
|
||||
from . import index
|
||||
from .app import app, audio, completion, conversation, file, message, workflow
|
||||
from .dataset import dataset, document, hit_testing, segment
|
||||
from .dataset import dataset, document, hit_testing, segment, upload_file
|
||||
|
||||
@@ -31,8 +31,11 @@ class DatasetListApi(DatasetApiResource):
|
||||
# provider = request.args.get("provider", default="vendor")
|
||||
search = request.args.get("keyword", default=None, type=str)
|
||||
tag_ids = request.args.getlist("tag_ids")
|
||||
include_all = request.args.get("include_all", default="false").lower() == "true"
|
||||
|
||||
datasets, total = DatasetService.get_datasets(page, limit, tenant_id, current_user, search, tag_ids)
|
||||
datasets, total = DatasetService.get_datasets(
|
||||
page, limit, tenant_id, current_user, search, tag_ids, include_all
|
||||
)
|
||||
# check embedding setting
|
||||
provider_manager = ProviderManager()
|
||||
configurations = provider_manager.get_configurations(tenant_id=current_user.current_tenant_id)
|
||||
|
||||
@@ -0,0 +1,54 @@
|
||||
from werkzeug.exceptions import NotFound
|
||||
|
||||
from controllers.service_api import api
|
||||
from controllers.service_api.wraps import (
|
||||
DatasetApiResource,
|
||||
)
|
||||
from core.file import helpers as file_helpers
|
||||
from extensions.ext_database import db
|
||||
from models.dataset import Dataset
|
||||
from models.model import UploadFile
|
||||
from services.dataset_service import DocumentService
|
||||
|
||||
|
||||
class UploadFileApi(DatasetApiResource):
|
||||
def get(self, tenant_id, dataset_id, document_id):
|
||||
"""Get upload file."""
|
||||
# check dataset
|
||||
dataset_id = str(dataset_id)
|
||||
tenant_id = str(tenant_id)
|
||||
dataset = db.session.query(Dataset).filter(Dataset.tenant_id == tenant_id, Dataset.id == dataset_id).first()
|
||||
if not dataset:
|
||||
raise NotFound("Dataset not found.")
|
||||
# check document
|
||||
document_id = str(document_id)
|
||||
document = DocumentService.get_document(dataset.id, document_id)
|
||||
if not document:
|
||||
raise NotFound("Document not found.")
|
||||
# check upload file
|
||||
if document.data_source_type != "upload_file":
|
||||
raise ValueError(f"Document data source type ({document.data_source_type}) is not upload_file.")
|
||||
data_source_info = document.data_source_info_dict
|
||||
if data_source_info and "upload_file_id" in data_source_info:
|
||||
file_id = data_source_info["upload_file_id"]
|
||||
upload_file = db.session.query(UploadFile).filter(UploadFile.id == file_id).first()
|
||||
if not upload_file:
|
||||
raise NotFound("UploadFile not found.")
|
||||
else:
|
||||
raise ValueError("Upload file id not found in document data source info.")
|
||||
|
||||
url = file_helpers.get_signed_file_url(upload_file_id=upload_file.id)
|
||||
return {
|
||||
"id": upload_file.id,
|
||||
"name": upload_file.name,
|
||||
"size": upload_file.size,
|
||||
"extension": upload_file.extension,
|
||||
"url": url,
|
||||
"download_url": f"{url}&as_attachment=true",
|
||||
"mime_type": upload_file.mime_type,
|
||||
"created_by": upload_file.created_by,
|
||||
"created_at": upload_file.created_at.timestamp(),
|
||||
}, 200
|
||||
|
||||
|
||||
api.add_resource(UploadFileApi, "/datasets/<uuid:dataset_id>/documents/<uuid:document_id>/upload-file")
|
||||
@@ -236,7 +236,7 @@ def create_or_update_end_user_for_user_id(app_model: App, user_id: Optional[str]
|
||||
tenant_id=app_model.tenant_id,
|
||||
app_id=app_model.id,
|
||||
type="service_api",
|
||||
is_anonymous=True if user_id == "DEFAULT-USER" else False,
|
||||
is_anonymous=user_id == "DEFAULT-USER",
|
||||
session_id=user_id,
|
||||
)
|
||||
db.session.add(end_user)
|
||||
|
||||
@@ -39,7 +39,7 @@ class ConversationListApi(WebApiResource):
|
||||
|
||||
pinned = None
|
||||
if "pinned" in args and args["pinned"] is not None:
|
||||
pinned = True if args["pinned"] == "true" else False
|
||||
pinned = args["pinned"] == "true"
|
||||
|
||||
try:
|
||||
with Session(db.engine) as session:
|
||||
|
||||
@@ -530,7 +530,6 @@ class IndexingRunner:
|
||||
# chunk nodes by chunk size
|
||||
indexing_start_at = time.perf_counter()
|
||||
tokens = 0
|
||||
chunk_size = 10
|
||||
if dataset_document.doc_form != IndexType.PARENT_CHILD_INDEX:
|
||||
# create keyword index
|
||||
create_keyword_thread = threading.Thread(
|
||||
@@ -539,11 +538,22 @@ class IndexingRunner:
|
||||
)
|
||||
create_keyword_thread.start()
|
||||
|
||||
max_workers = 10
|
||||
if dataset.indexing_technique == "high_quality":
|
||||
with concurrent.futures.ThreadPoolExecutor(max_workers=10) as executor:
|
||||
with concurrent.futures.ThreadPoolExecutor(max_workers=max_workers) as executor:
|
||||
futures = []
|
||||
for i in range(0, len(documents), chunk_size):
|
||||
chunk_documents = documents[i : i + chunk_size]
|
||||
|
||||
# Distribute documents into multiple groups based on the hash values of page_content
|
||||
# This is done to prevent multiple threads from processing the same document,
|
||||
# Thereby avoiding potential database insertion deadlocks
|
||||
document_groups: list[list[Document]] = [[] for _ in range(max_workers)]
|
||||
for document in documents:
|
||||
hash = helper.generate_text_hash(document.page_content)
|
||||
group_index = int(hash, 16) % max_workers
|
||||
document_groups[group_index].append(document)
|
||||
for chunk_documents in document_groups:
|
||||
if len(chunk_documents) == 0:
|
||||
continue
|
||||
futures.append(
|
||||
executor.submit(
|
||||
self._process_chunk,
|
||||
|
||||
@@ -1,6 +1,9 @@
|
||||
import logging
|
||||
from threading import Lock
|
||||
from typing import Any
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
_tokenizer: Any = None
|
||||
_lock = Lock()
|
||||
|
||||
@@ -43,5 +46,6 @@ class GPT2Tokenizer:
|
||||
base_path = abspath(__file__)
|
||||
gpt2_tokenizer_path = join(dirname(base_path), "gpt2")
|
||||
_tokenizer = TransformerGPT2Tokenizer.from_pretrained(gpt2_tokenizer_path)
|
||||
logger.info("Fallback to Transformers' GPT-2 tokenizer from tiktoken")
|
||||
|
||||
return _tokenizer
|
||||
|
||||
@@ -87,6 +87,6 @@ class CommonValidator:
|
||||
if value.lower() not in {"true", "false"}:
|
||||
raise ValueError(f"Variable {credential_form_schema.variable} should be true or false")
|
||||
|
||||
value = True if value.lower() == "true" else False
|
||||
value = value.lower() == "true"
|
||||
|
||||
return value
|
||||
|
||||
@@ -6,6 +6,7 @@ from pydantic import BaseModel, ValidationInfo, field_validator
|
||||
class TracingProviderEnum(Enum):
|
||||
LANGFUSE = "langfuse"
|
||||
LANGSMITH = "langsmith"
|
||||
OPIK = "opik"
|
||||
|
||||
|
||||
class BaseTracingConfig(BaseModel):
|
||||
@@ -56,5 +57,36 @@ class LangSmithConfig(BaseTracingConfig):
|
||||
return v
|
||||
|
||||
|
||||
class OpikConfig(BaseTracingConfig):
|
||||
"""
|
||||
Model class for Opik tracing config.
|
||||
"""
|
||||
|
||||
api_key: str | None = None
|
||||
project: str | None = None
|
||||
workspace: str | None = None
|
||||
url: str = "https://www.comet.com/opik/api/"
|
||||
|
||||
@field_validator("project")
|
||||
@classmethod
|
||||
def project_validator(cls, v, info: ValidationInfo):
|
||||
if v is None or v == "":
|
||||
v = "Default Project"
|
||||
|
||||
return v
|
||||
|
||||
@field_validator("url")
|
||||
@classmethod
|
||||
def url_validator(cls, v, info: ValidationInfo):
|
||||
if v is None or v == "":
|
||||
v = "https://www.comet.com/opik/api/"
|
||||
if not v.startswith(("https://", "http://")):
|
||||
raise ValueError("url must start with https:// or http://")
|
||||
if not v.endswith("/api/"):
|
||||
raise ValueError("url should ends with /api/")
|
||||
|
||||
return v
|
||||
|
||||
|
||||
OPS_FILE_PATH = "ops_trace/"
|
||||
OPS_TRACE_FAILED_KEY = "FAILED_OPS_TRACE"
|
||||
|
||||
@@ -0,0 +1,469 @@
|
||||
import json
|
||||
import logging
|
||||
import os
|
||||
import uuid
|
||||
from datetime import datetime, timedelta
|
||||
from typing import Optional, cast
|
||||
|
||||
from opik import Opik, Trace
|
||||
from opik.id_helpers import uuid4_to_uuid7
|
||||
|
||||
from core.ops.base_trace_instance import BaseTraceInstance
|
||||
from core.ops.entities.config_entity import OpikConfig
|
||||
from core.ops.entities.trace_entity import (
|
||||
BaseTraceInfo,
|
||||
DatasetRetrievalTraceInfo,
|
||||
GenerateNameTraceInfo,
|
||||
MessageTraceInfo,
|
||||
ModerationTraceInfo,
|
||||
SuggestedQuestionTraceInfo,
|
||||
ToolTraceInfo,
|
||||
TraceTaskName,
|
||||
WorkflowTraceInfo,
|
||||
)
|
||||
from extensions.ext_database import db
|
||||
from models.model import EndUser, MessageFile
|
||||
from models.workflow import WorkflowNodeExecution
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
|
||||
def wrap_dict(key_name, data):
|
||||
"""Make sure that the input data is a dict"""
|
||||
if not isinstance(data, dict):
|
||||
return {key_name: data}
|
||||
|
||||
return data
|
||||
|
||||
|
||||
def wrap_metadata(metadata, **kwargs):
|
||||
"""Add common metatada to all Traces and Spans"""
|
||||
metadata["created_from"] = "dify"
|
||||
|
||||
metadata.update(kwargs)
|
||||
|
||||
return metadata
|
||||
|
||||
|
||||
def prepare_opik_uuid(user_datetime: Optional[datetime], user_uuid: Optional[str]):
|
||||
"""Opik needs UUIDv7 while Dify uses UUIDv4 for identifier of most
|
||||
messages and objects. The type-hints of BaseTraceInfo indicates that
|
||||
objects start_time and message_id could be null which means we cannot map
|
||||
it to a UUIDv7. Given that we have no way to identify that object
|
||||
uniquely, generate a new random one UUIDv7 in that case.
|
||||
"""
|
||||
|
||||
if user_datetime is None:
|
||||
user_datetime = datetime.now()
|
||||
|
||||
if user_uuid is None:
|
||||
user_uuid = str(uuid.uuid4())
|
||||
|
||||
return uuid4_to_uuid7(user_datetime, user_uuid)
|
||||
|
||||
|
||||
class OpikDataTrace(BaseTraceInstance):
|
||||
def __init__(
|
||||
self,
|
||||
opik_config: OpikConfig,
|
||||
):
|
||||
super().__init__(opik_config)
|
||||
self.opik_client = Opik(
|
||||
project_name=opik_config.project,
|
||||
workspace=opik_config.workspace,
|
||||
host=opik_config.url,
|
||||
api_key=opik_config.api_key,
|
||||
)
|
||||
self.project = opik_config.project
|
||||
self.file_base_url = os.getenv("FILES_URL", "http://127.0.0.1:5001")
|
||||
|
||||
def trace(self, trace_info: BaseTraceInfo):
|
||||
if isinstance(trace_info, WorkflowTraceInfo):
|
||||
self.workflow_trace(trace_info)
|
||||
if isinstance(trace_info, MessageTraceInfo):
|
||||
self.message_trace(trace_info)
|
||||
if isinstance(trace_info, ModerationTraceInfo):
|
||||
self.moderation_trace(trace_info)
|
||||
if isinstance(trace_info, SuggestedQuestionTraceInfo):
|
||||
self.suggested_question_trace(trace_info)
|
||||
if isinstance(trace_info, DatasetRetrievalTraceInfo):
|
||||
self.dataset_retrieval_trace(trace_info)
|
||||
if isinstance(trace_info, ToolTraceInfo):
|
||||
self.tool_trace(trace_info)
|
||||
if isinstance(trace_info, GenerateNameTraceInfo):
|
||||
self.generate_name_trace(trace_info)
|
||||
|
||||
def workflow_trace(self, trace_info: WorkflowTraceInfo):
|
||||
dify_trace_id = trace_info.workflow_run_id
|
||||
opik_trace_id = prepare_opik_uuid(trace_info.start_time, dify_trace_id)
|
||||
workflow_metadata = wrap_metadata(
|
||||
trace_info.metadata, message_id=trace_info.message_id, workflow_app_log_id=trace_info.workflow_app_log_id
|
||||
)
|
||||
root_span_id = None
|
||||
|
||||
if trace_info.message_id:
|
||||
dify_trace_id = trace_info.message_id
|
||||
opik_trace_id = prepare_opik_uuid(trace_info.start_time, dify_trace_id)
|
||||
|
||||
trace_data = {
|
||||
"id": opik_trace_id,
|
||||
"name": TraceTaskName.MESSAGE_TRACE.value,
|
||||
"start_time": trace_info.start_time,
|
||||
"end_time": trace_info.end_time,
|
||||
"metadata": workflow_metadata,
|
||||
"input": wrap_dict("input", trace_info.workflow_run_inputs),
|
||||
"output": wrap_dict("output", trace_info.workflow_run_outputs),
|
||||
"tags": ["message", "workflow"],
|
||||
"project_name": self.project,
|
||||
}
|
||||
self.add_trace(trace_data)
|
||||
|
||||
root_span_id = prepare_opik_uuid(trace_info.start_time, trace_info.workflow_run_id)
|
||||
span_data = {
|
||||
"id": root_span_id,
|
||||
"parent_span_id": None,
|
||||
"trace_id": opik_trace_id,
|
||||
"name": TraceTaskName.WORKFLOW_TRACE.value,
|
||||
"input": wrap_dict("input", trace_info.workflow_run_inputs),
|
||||
"output": wrap_dict("output", trace_info.workflow_run_outputs),
|
||||
"start_time": trace_info.start_time,
|
||||
"end_time": trace_info.end_time,
|
||||
"metadata": workflow_metadata,
|
||||
"tags": ["workflow"],
|
||||
"project_name": self.project,
|
||||
}
|
||||
self.add_span(span_data)
|
||||
else:
|
||||
trace_data = {
|
||||
"id": opik_trace_id,
|
||||
"name": TraceTaskName.MESSAGE_TRACE.value,
|
||||
"start_time": trace_info.start_time,
|
||||
"end_time": trace_info.end_time,
|
||||
"metadata": workflow_metadata,
|
||||
"input": wrap_dict("input", trace_info.workflow_run_inputs),
|
||||
"output": wrap_dict("output", trace_info.workflow_run_outputs),
|
||||
"tags": ["workflow"],
|
||||
"project_name": self.project,
|
||||
}
|
||||
self.add_trace(trace_data)
|
||||
|
||||
# through workflow_run_id get all_nodes_execution
|
||||
workflow_nodes_execution_id_records = (
|
||||
db.session.query(WorkflowNodeExecution.id)
|
||||
.filter(WorkflowNodeExecution.workflow_run_id == trace_info.workflow_run_id)
|
||||
.all()
|
||||
)
|
||||
|
||||
for node_execution_id_record in workflow_nodes_execution_id_records:
|
||||
node_execution = (
|
||||
db.session.query(
|
||||
WorkflowNodeExecution.id,
|
||||
WorkflowNodeExecution.tenant_id,
|
||||
WorkflowNodeExecution.app_id,
|
||||
WorkflowNodeExecution.title,
|
||||
WorkflowNodeExecution.node_type,
|
||||
WorkflowNodeExecution.status,
|
||||
WorkflowNodeExecution.inputs,
|
||||
WorkflowNodeExecution.outputs,
|
||||
WorkflowNodeExecution.created_at,
|
||||
WorkflowNodeExecution.elapsed_time,
|
||||
WorkflowNodeExecution.process_data,
|
||||
WorkflowNodeExecution.execution_metadata,
|
||||
)
|
||||
.filter(WorkflowNodeExecution.id == node_execution_id_record.id)
|
||||
.first()
|
||||
)
|
||||
|
||||
if not node_execution:
|
||||
continue
|
||||
|
||||
node_execution_id = node_execution.id
|
||||
tenant_id = node_execution.tenant_id
|
||||
app_id = node_execution.app_id
|
||||
node_name = node_execution.title
|
||||
node_type = node_execution.node_type
|
||||
status = node_execution.status
|
||||
if node_type == "llm":
|
||||
inputs = (
|
||||
json.loads(node_execution.process_data).get("prompts", {}) if node_execution.process_data else {}
|
||||
)
|
||||
else:
|
||||
inputs = json.loads(node_execution.inputs) if node_execution.inputs else {}
|
||||
outputs = json.loads(node_execution.outputs) if node_execution.outputs else {}
|
||||
created_at = node_execution.created_at or datetime.now()
|
||||
elapsed_time = node_execution.elapsed_time
|
||||
finished_at = created_at + timedelta(seconds=elapsed_time)
|
||||
|
||||
execution_metadata = (
|
||||
json.loads(node_execution.execution_metadata) if node_execution.execution_metadata else {}
|
||||
)
|
||||
metadata = execution_metadata.copy()
|
||||
metadata.update(
|
||||
{
|
||||
"workflow_run_id": trace_info.workflow_run_id,
|
||||
"node_execution_id": node_execution_id,
|
||||
"tenant_id": tenant_id,
|
||||
"app_id": app_id,
|
||||
"app_name": node_name,
|
||||
"node_type": node_type,
|
||||
"status": status,
|
||||
}
|
||||
)
|
||||
|
||||
process_data = json.loads(node_execution.process_data) if node_execution.process_data else {}
|
||||
|
||||
provider = None
|
||||
model = None
|
||||
total_tokens = 0
|
||||
completion_tokens = 0
|
||||
prompt_tokens = 0
|
||||
|
||||
if process_data and process_data.get("model_mode") == "chat":
|
||||
run_type = "llm"
|
||||
provider = process_data.get("model_provider", None)
|
||||
model = process_data.get("model_name", "")
|
||||
metadata.update(
|
||||
{
|
||||
"ls_provider": provider,
|
||||
"ls_model_name": model,
|
||||
}
|
||||
)
|
||||
|
||||
try:
|
||||
if outputs.get("usage"):
|
||||
total_tokens = outputs["usage"].get("total_tokens", 0)
|
||||
prompt_tokens = outputs["usage"].get("prompt_tokens", 0)
|
||||
completion_tokens = outputs["usage"].get("completion_tokens", 0)
|
||||
except Exception:
|
||||
logger.error("Failed to extract usage", exc_info=True)
|
||||
|
||||
else:
|
||||
run_type = "tool"
|
||||
|
||||
parent_span_id = trace_info.workflow_app_log_id or trace_info.workflow_run_id
|
||||
|
||||
if not total_tokens:
|
||||
total_tokens = execution_metadata.get("total_tokens", 0)
|
||||
|
||||
span_data = {
|
||||
"trace_id": opik_trace_id,
|
||||
"id": prepare_opik_uuid(created_at, node_execution_id),
|
||||
"parent_span_id": prepare_opik_uuid(trace_info.start_time, parent_span_id),
|
||||
"name": node_type,
|
||||
"type": run_type,
|
||||
"start_time": created_at,
|
||||
"end_time": finished_at,
|
||||
"metadata": wrap_metadata(metadata),
|
||||
"input": wrap_dict("input", inputs),
|
||||
"output": wrap_dict("output", outputs),
|
||||
"tags": ["node_execution"],
|
||||
"project_name": self.project,
|
||||
"usage": {
|
||||
"total_tokens": total_tokens,
|
||||
"completion_tokens": completion_tokens,
|
||||
"prompt_tokens": prompt_tokens,
|
||||
},
|
||||
"model": model,
|
||||
"provider": provider,
|
||||
}
|
||||
|
||||
self.add_span(span_data)
|
||||
|
||||
def message_trace(self, trace_info: MessageTraceInfo):
|
||||
# get message file data
|
||||
file_list = cast(list[str], trace_info.file_list) or []
|
||||
message_file_data: Optional[MessageFile] = trace_info.message_file_data
|
||||
|
||||
if message_file_data is not None:
|
||||
file_url = f"{self.file_base_url}/{message_file_data.url}" if message_file_data else ""
|
||||
file_list.append(file_url)
|
||||
|
||||
message_data = trace_info.message_data
|
||||
if message_data is None:
|
||||
return
|
||||
|
||||
metadata = trace_info.metadata
|
||||
message_id = trace_info.message_id
|
||||
|
||||
user_id = message_data.from_account_id
|
||||
metadata["user_id"] = user_id
|
||||
metadata["file_list"] = file_list
|
||||
|
||||
if message_data.from_end_user_id:
|
||||
end_user_data: Optional[EndUser] = (
|
||||
db.session.query(EndUser).filter(EndUser.id == message_data.from_end_user_id).first()
|
||||
)
|
||||
if end_user_data is not None:
|
||||
end_user_id = end_user_data.session_id
|
||||
metadata["end_user_id"] = end_user_id
|
||||
|
||||
trace_data = {
|
||||
"id": prepare_opik_uuid(trace_info.start_time, message_id),
|
||||
"name": TraceTaskName.MESSAGE_TRACE.value,
|
||||
"start_time": trace_info.start_time,
|
||||
"end_time": trace_info.end_time,
|
||||
"metadata": wrap_metadata(metadata),
|
||||
"input": trace_info.inputs,
|
||||
"output": message_data.answer,
|
||||
"tags": ["message", str(trace_info.conversation_mode)],
|
||||
"project_name": self.project,
|
||||
}
|
||||
trace = self.add_trace(trace_data)
|
||||
|
||||
span_data = {
|
||||
"trace_id": trace.id,
|
||||
"name": "llm",
|
||||
"type": "llm",
|
||||
"start_time": trace_info.start_time,
|
||||
"end_time": trace_info.end_time,
|
||||
"metadata": wrap_metadata(metadata),
|
||||
"input": {"input": trace_info.inputs},
|
||||
"output": {"output": message_data.answer},
|
||||
"tags": ["llm", str(trace_info.conversation_mode)],
|
||||
"usage": {
|
||||
"completion_tokens": trace_info.answer_tokens,
|
||||
"prompt_tokens": trace_info.message_tokens,
|
||||
"total_tokens": trace_info.total_tokens,
|
||||
},
|
||||
"project_name": self.project,
|
||||
}
|
||||
self.add_span(span_data)
|
||||
|
||||
def moderation_trace(self, trace_info: ModerationTraceInfo):
|
||||
if trace_info.message_data is None:
|
||||
return
|
||||
|
||||
start_time = trace_info.start_time or trace_info.message_data.created_at
|
||||
|
||||
span_data = {
|
||||
"trace_id": prepare_opik_uuid(start_time, trace_info.message_id),
|
||||
"name": TraceTaskName.MODERATION_TRACE.value,
|
||||
"type": "tool",
|
||||
"start_time": start_time,
|
||||
"end_time": trace_info.end_time or trace_info.message_data.updated_at,
|
||||
"metadata": wrap_metadata(trace_info.metadata),
|
||||
"input": wrap_dict("input", trace_info.inputs),
|
||||
"output": {
|
||||
"action": trace_info.action,
|
||||
"flagged": trace_info.flagged,
|
||||
"preset_response": trace_info.preset_response,
|
||||
"inputs": trace_info.inputs,
|
||||
},
|
||||
"tags": ["moderation"],
|
||||
}
|
||||
|
||||
self.add_span(span_data)
|
||||
|
||||
def suggested_question_trace(self, trace_info: SuggestedQuestionTraceInfo):
|
||||
message_data = trace_info.message_data
|
||||
if message_data is None:
|
||||
return
|
||||
|
||||
start_time = trace_info.start_time or message_data.created_at
|
||||
|
||||
span_data = {
|
||||
"trace_id": prepare_opik_uuid(start_time, trace_info.message_id),
|
||||
"name": TraceTaskName.SUGGESTED_QUESTION_TRACE.value,
|
||||
"type": "tool",
|
||||
"start_time": start_time,
|
||||
"end_time": trace_info.end_time or message_data.updated_at,
|
||||
"metadata": wrap_metadata(trace_info.metadata),
|
||||
"input": wrap_dict("input", trace_info.inputs),
|
||||
"output": wrap_dict("output", trace_info.suggested_question),
|
||||
"tags": ["suggested_question"],
|
||||
}
|
||||
|
||||
self.add_span(span_data)
|
||||
|
||||
def dataset_retrieval_trace(self, trace_info: DatasetRetrievalTraceInfo):
|
||||
if trace_info.message_data is None:
|
||||
return
|
||||
|
||||
start_time = trace_info.start_time or trace_info.message_data.created_at
|
||||
|
||||
span_data = {
|
||||
"trace_id": prepare_opik_uuid(start_time, trace_info.message_id),
|
||||
"name": TraceTaskName.DATASET_RETRIEVAL_TRACE.value,
|
||||
"type": "tool",
|
||||
"start_time": start_time,
|
||||
"end_time": trace_info.end_time or trace_info.message_data.updated_at,
|
||||
"metadata": wrap_metadata(trace_info.metadata),
|
||||
"input": wrap_dict("input", trace_info.inputs),
|
||||
"output": {"documents": trace_info.documents},
|
||||
"tags": ["dataset_retrieval"],
|
||||
}
|
||||
|
||||
self.add_span(span_data)
|
||||
|
||||
def tool_trace(self, trace_info: ToolTraceInfo):
|
||||
span_data = {
|
||||
"trace_id": prepare_opik_uuid(trace_info.start_time, trace_info.message_id),
|
||||
"name": trace_info.tool_name,
|
||||
"type": "tool",
|
||||
"start_time": trace_info.start_time,
|
||||
"end_time": trace_info.end_time,
|
||||
"metadata": wrap_metadata(trace_info.metadata),
|
||||
"input": wrap_dict("input", trace_info.tool_inputs),
|
||||
"output": wrap_dict("output", trace_info.tool_outputs),
|
||||
"tags": ["tool", trace_info.tool_name],
|
||||
}
|
||||
|
||||
self.add_span(span_data)
|
||||
|
||||
def generate_name_trace(self, trace_info: GenerateNameTraceInfo):
|
||||
trace_data = {
|
||||
"id": prepare_opik_uuid(trace_info.start_time, trace_info.message_id),
|
||||
"name": TraceTaskName.GENERATE_NAME_TRACE.value,
|
||||
"start_time": trace_info.start_time,
|
||||
"end_time": trace_info.end_time,
|
||||
"metadata": wrap_metadata(trace_info.metadata),
|
||||
"input": trace_info.inputs,
|
||||
"output": trace_info.outputs,
|
||||
"tags": ["generate_name"],
|
||||
"project_name": self.project,
|
||||
}
|
||||
|
||||
trace = self.add_trace(trace_data)
|
||||
|
||||
span_data = {
|
||||
"trace_id": trace.id,
|
||||
"name": TraceTaskName.GENERATE_NAME_TRACE.value,
|
||||
"start_time": trace_info.start_time,
|
||||
"end_time": trace_info.end_time,
|
||||
"metadata": wrap_metadata(trace_info.metadata),
|
||||
"input": wrap_dict("input", trace_info.inputs),
|
||||
"output": wrap_dict("output", trace_info.outputs),
|
||||
"tags": ["generate_name"],
|
||||
}
|
||||
|
||||
self.add_span(span_data)
|
||||
|
||||
def add_trace(self, opik_trace_data: dict) -> Trace:
|
||||
try:
|
||||
trace = self.opik_client.trace(**opik_trace_data)
|
||||
logger.debug("Opik Trace created successfully")
|
||||
return trace
|
||||
except Exception as e:
|
||||
raise ValueError(f"Opik Failed to create trace: {str(e)}")
|
||||
|
||||
def add_span(self, opik_span_data: dict):
|
||||
try:
|
||||
self.opik_client.span(**opik_span_data)
|
||||
logger.debug("Opik Span created successfully")
|
||||
except Exception as e:
|
||||
raise ValueError(f"Opik Failed to create span: {str(e)}")
|
||||
|
||||
def api_check(self):
|
||||
try:
|
||||
self.opik_client.auth_check()
|
||||
return True
|
||||
except Exception as e:
|
||||
logger.info(f"Opik API check failed: {str(e)}", exc_info=True)
|
||||
raise ValueError(f"Opik API check failed: {str(e)}")
|
||||
|
||||
def get_project_url(self):
|
||||
try:
|
||||
return self.opik_client.get_project_url(project_name=self.project)
|
||||
except Exception as e:
|
||||
logger.info(f"Opik get run url failed: {str(e)}", exc_info=True)
|
||||
raise ValueError(f"Opik get run url failed: {str(e)}")
|
||||
@@ -17,6 +17,7 @@ from core.ops.entities.config_entity import (
|
||||
OPS_FILE_PATH,
|
||||
LangfuseConfig,
|
||||
LangSmithConfig,
|
||||
OpikConfig,
|
||||
TracingProviderEnum,
|
||||
)
|
||||
from core.ops.entities.trace_entity import (
|
||||
@@ -32,6 +33,7 @@ from core.ops.entities.trace_entity import (
|
||||
)
|
||||
from core.ops.langfuse_trace.langfuse_trace import LangFuseDataTrace
|
||||
from core.ops.langsmith_trace.langsmith_trace import LangSmithDataTrace
|
||||
from core.ops.opik_trace.opik_trace import OpikDataTrace
|
||||
from core.ops.utils import get_message_data
|
||||
from extensions.ext_database import db
|
||||
from extensions.ext_storage import storage
|
||||
@@ -52,6 +54,12 @@ provider_config_map: dict[str, dict[str, Any]] = {
|
||||
"other_keys": ["project", "endpoint"],
|
||||
"trace_instance": LangSmithDataTrace,
|
||||
},
|
||||
TracingProviderEnum.OPIK.value: {
|
||||
"config_class": OpikConfig,
|
||||
"secret_keys": ["api_key"],
|
||||
"other_keys": ["project", "url", "workspace"],
|
||||
"trace_instance": OpikDataTrace,
|
||||
},
|
||||
}
|
||||
|
||||
|
||||
|
||||
@@ -258,7 +258,7 @@ class LindormVectorStore(BaseVector):
|
||||
hnsw_ef_construction = kwargs.pop("hnsw_ef_construction", 500)
|
||||
ivfpq_m = kwargs.pop("ivfpq_m", dimension)
|
||||
nlist = kwargs.pop("nlist", 1000)
|
||||
centroids_use_hnsw = kwargs.pop("centroids_use_hnsw", True if nlist >= 5000 else False)
|
||||
centroids_use_hnsw = kwargs.pop("centroids_use_hnsw", nlist >= 5000)
|
||||
centroids_hnsw_m = kwargs.pop("centroids_hnsw_m", 24)
|
||||
centroids_hnsw_ef_construct = kwargs.pop("centroids_hnsw_ef_construct", 500)
|
||||
centroids_hnsw_ef_search = kwargs.pop("centroids_hnsw_ef_search", 100)
|
||||
@@ -305,7 +305,7 @@ def default_text_mapping(dimension: int, method_name: str, **kwargs: Any) -> dic
|
||||
if method_name == "ivfpq":
|
||||
ivfpq_m = kwargs["ivfpq_m"]
|
||||
nlist = kwargs["nlist"]
|
||||
centroids_use_hnsw = True if nlist > 10000 else False
|
||||
centroids_use_hnsw = nlist > 10000
|
||||
centroids_hnsw_m = 24
|
||||
centroids_hnsw_ef_construct = 500
|
||||
centroids_hnsw_ef_search = 100
|
||||
|
||||
@@ -112,7 +112,7 @@ class QAIndexProcessor(BaseIndexProcessor):
|
||||
df = pd.read_csv(file)
|
||||
text_docs = []
|
||||
for index, row in df.iterrows():
|
||||
data = Document(page_content=row[0], metadata={"answer": row[1]})
|
||||
data = Document(page_content=row.iloc[0], metadata={"answer": row.iloc[1]})
|
||||
text_docs.append(data)
|
||||
if len(text_docs) == 0:
|
||||
raise ValueError("The CSV file is empty.")
|
||||
|
||||
@@ -5,6 +5,7 @@ from json import loads as json_loads
|
||||
from json.decoder import JSONDecodeError
|
||||
from typing import Optional
|
||||
|
||||
from flask import request
|
||||
from requests import get
|
||||
from yaml import YAMLError, safe_load # type: ignore
|
||||
|
||||
@@ -29,6 +30,10 @@ class ApiBasedToolSchemaParser:
|
||||
raise ToolProviderNotFoundError("No server found in the openapi yaml.")
|
||||
|
||||
server_url = openapi["servers"][0]["url"]
|
||||
request_env = request.headers.get("X-Request-Env")
|
||||
if request_env:
|
||||
matched_servers = [server["url"] for server in openapi["servers"] if server["env"] == request_env]
|
||||
server_url = matched_servers[0] if matched_servers else server_url
|
||||
|
||||
# list all interfaces
|
||||
interfaces = []
|
||||
@@ -112,7 +117,7 @@ class ApiBasedToolSchemaParser:
|
||||
llm_description=property.get("description", ""),
|
||||
default=property.get("default", None),
|
||||
placeholder=I18nObject(
|
||||
en_US=parameter.get("description", ""), zh_Hans=parameter.get("description", "")
|
||||
en_US=property.get("description", ""), zh_Hans=property.get("description", "")
|
||||
),
|
||||
)
|
||||
|
||||
|
||||
@@ -1,6 +1,7 @@
|
||||
import logging
|
||||
from abc import ABC, abstractmethod
|
||||
from collections.abc import Generator
|
||||
from typing import Optional
|
||||
|
||||
from core.workflow.entities.variable_pool import VariablePool
|
||||
from core.workflow.graph_engine.entities.event import GraphEngineEvent, NodeRunExceptionEvent, NodeRunSucceededEvent
|
||||
@@ -48,25 +49,35 @@ class StreamProcessor(ABC):
|
||||
# we remove the node maybe shortcut the answer node, so comment this code for now
|
||||
# there is not effect on the answer node and the workflow, when we have a better solution
|
||||
# we can open this code. Issues: #11542 #9560 #10638 #10564
|
||||
ids = self._fetch_node_ids_in_reachable_branch(edge.target_node_id)
|
||||
if "answer" in ids:
|
||||
continue
|
||||
else:
|
||||
reachable_node_ids.extend(ids)
|
||||
# ids = self._fetch_node_ids_in_reachable_branch(edge.target_node_id)
|
||||
# if "answer" in ids:
|
||||
# continue
|
||||
# else:
|
||||
# reachable_node_ids.extend(ids)
|
||||
|
||||
# The branch_identify parameter is added to ensure that
|
||||
# only nodes in the correct logical branch are included.
|
||||
ids = self._fetch_node_ids_in_reachable_branch(edge.target_node_id, run_result.edge_source_handle)
|
||||
reachable_node_ids.extend(ids)
|
||||
else:
|
||||
unreachable_first_node_ids.append(edge.target_node_id)
|
||||
|
||||
for node_id in unreachable_first_node_ids:
|
||||
self._remove_node_ids_in_unreachable_branch(node_id, reachable_node_ids)
|
||||
|
||||
def _fetch_node_ids_in_reachable_branch(self, node_id: str) -> list[str]:
|
||||
def _fetch_node_ids_in_reachable_branch(self, node_id: str, branch_identify: Optional[str] = None) -> list[str]:
|
||||
node_ids = []
|
||||
for edge in self.graph.edge_mapping.get(node_id, []):
|
||||
if edge.target_node_id == self.graph.root_node_id:
|
||||
continue
|
||||
|
||||
# Only follow edges that match the branch_identify or have no run_condition
|
||||
if edge.run_condition and edge.run_condition.branch_identify:
|
||||
if not branch_identify or edge.run_condition.branch_identify != branch_identify:
|
||||
continue
|
||||
|
||||
node_ids.append(edge.target_node_id)
|
||||
node_ids.extend(self._fetch_node_ids_in_reachable_branch(edge.target_node_id))
|
||||
node_ids.extend(self._fetch_node_ids_in_reachable_branch(edge.target_node_id, branch_identify))
|
||||
return node_ids
|
||||
|
||||
def _remove_node_ids_in_unreachable_branch(self, node_id: str, reachable_node_ids: list[str]) -> None:
|
||||
|
||||
@@ -1,4 +1,5 @@
|
||||
import json
|
||||
from collections.abc import Sequence
|
||||
from typing import Any, cast
|
||||
|
||||
from core.variables import SegmentType, Variable
|
||||
@@ -31,7 +32,7 @@ class VariableAssignerNode(BaseNode[VariableAssignerNodeData]):
|
||||
inputs = self.node_data.model_dump()
|
||||
process_data: dict[str, Any] = {}
|
||||
# NOTE: This node has no outputs
|
||||
updated_variables: list[Variable] = []
|
||||
updated_variable_selectors: list[Sequence[str]] = []
|
||||
|
||||
try:
|
||||
for item in self.node_data.items:
|
||||
@@ -98,7 +99,8 @@ class VariableAssignerNode(BaseNode[VariableAssignerNodeData]):
|
||||
value=item.value,
|
||||
)
|
||||
variable = variable.model_copy(update={"value": updated_value})
|
||||
updated_variables.append(variable)
|
||||
self.graph_runtime_state.variable_pool.add(variable.selector, variable)
|
||||
updated_variable_selectors.append(variable.selector)
|
||||
except VariableOperatorNodeError as e:
|
||||
return NodeRunResult(
|
||||
status=WorkflowNodeExecutionStatus.FAILED,
|
||||
@@ -107,9 +109,15 @@ class VariableAssignerNode(BaseNode[VariableAssignerNodeData]):
|
||||
error=str(e),
|
||||
)
|
||||
|
||||
# The `updated_variable_selectors` is a list contains list[str] which not hashable,
|
||||
# remove the duplicated items first.
|
||||
updated_variable_selectors = list(set(map(tuple, updated_variable_selectors)))
|
||||
|
||||
# Update variables
|
||||
for variable in updated_variables:
|
||||
self.graph_runtime_state.variable_pool.add(variable.selector, variable)
|
||||
for selector in updated_variable_selectors:
|
||||
variable = self.graph_runtime_state.variable_pool.get(selector)
|
||||
if not isinstance(variable, Variable):
|
||||
raise VariableNotFoundError(variable_selector=selector)
|
||||
process_data[variable.name] = variable.value
|
||||
|
||||
if variable.selector[0] == CONVERSATION_VARIABLE_NODE_ID:
|
||||
|
||||
+2
-3
@@ -1405,9 +1405,8 @@ class ApiToken(db.Model): # type: ignore[name-defined]
|
||||
def generate_api_key(prefix, n):
|
||||
while True:
|
||||
result = prefix + generate_string(n)
|
||||
while db.session.query(ApiToken).filter(ApiToken.token == result).count() > 0:
|
||||
result = prefix + generate_string(n)
|
||||
|
||||
if db.session.query(ApiToken).filter(ApiToken.token == result).count() > 0:
|
||||
continue
|
||||
return result
|
||||
|
||||
|
||||
|
||||
Generated
+166
-2
@@ -1,4 +1,4 @@
|
||||
# This file is automatically @generated by Poetry 1.8.4 and should not be changed by hand.
|
||||
# This file is automatically @generated by Poetry 1.8.5 and should not be changed by hand.
|
||||
|
||||
[[package]]
|
||||
name = "aiofiles"
|
||||
@@ -4693,6 +4693,134 @@ requests-toolbelt = ">=1.0.0,<2.0.0"
|
||||
[package.extras]
|
||||
langsmith-pyo3 = ["langsmith-pyo3 (>=0.1.0rc2,<0.2.0)"]
|
||||
|
||||
[[package]]
|
||||
name = "levenshtein"
|
||||
version = "0.26.1"
|
||||
description = "Python extension for computing string edit distances and similarities."
|
||||
optional = false
|
||||
python-versions = ">=3.9"
|
||||
files = [
|
||||
{file = "levenshtein-0.26.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:8dc4a4aecad538d944a1264c12769c99e3c0bf8e741fc5e454cc954913befb2e"},
|
||||
{file = "levenshtein-0.26.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:ec108f368c12b25787c8b1a4537a1452bc53861c3ee4abc810cc74098278edcd"},
|
||||
{file = "levenshtein-0.26.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:69229d651c97ed5b55b7ce92481ed00635cdbb80fbfb282a22636e6945dc52d5"},
|
||||
{file = "levenshtein-0.26.1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:79dcd157046d62482a7719b08ba9e3ce9ed3fc5b015af8ea989c734c702aedd4"},
|
||||
{file = "levenshtein-0.26.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:6f53f9173ae21b650b4ed8aef1d0ad0c37821f367c221a982f4d2922b3044e0d"},
|
||||
{file = "levenshtein-0.26.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f3956f3c5c229257dbeabe0b6aacd2c083ebcc1e335842a6ff2217fe6cc03b6b"},
|
||||
{file = "levenshtein-0.26.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:e1e83af732726987d2c4cd736f415dae8b966ba17b7a2239c8b7ffe70bfb5543"},
|
||||
{file = "levenshtein-0.26.1-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:4f052c55046c2a9c9b5f742f39e02fa6e8db8039048b8c1c9e9fdd27c8a240a1"},
|
||||
{file = "levenshtein-0.26.1-cp310-cp310-musllinux_1_2_i686.whl", hash = "sha256:9895b3a98f6709e293615fde0dcd1bb0982364278fa2072361a1a31b3e388b7a"},
|
||||
{file = "levenshtein-0.26.1-cp310-cp310-musllinux_1_2_ppc64le.whl", hash = "sha256:a3777de1d8bfca054465229beed23994f926311ce666f5a392c8859bb2722f16"},
|
||||
{file = "levenshtein-0.26.1-cp310-cp310-musllinux_1_2_s390x.whl", hash = "sha256:81c57e1135c38c5e6e3675b5e2077d8a8d3be32bf0a46c57276c092b1dffc697"},
|
||||
{file = "levenshtein-0.26.1-cp310-cp310-musllinux_1_2_x86_64.whl", hash = "sha256:91d5e7d984891df3eff7ea9fec8cf06fdfacc03cd074fd1a410435706f73b079"},
|
||||
{file = "levenshtein-0.26.1-cp310-cp310-win32.whl", hash = "sha256:f48abff54054b4142ad03b323e80aa89b1d15cabc48ff49eb7a6ff7621829a56"},
|
||||
{file = "levenshtein-0.26.1-cp310-cp310-win_amd64.whl", hash = "sha256:79dd6ad799784ea7b23edd56e3bf94b3ca866c4c6dee845658ee75bb4aefdabf"},
|
||||
{file = "levenshtein-0.26.1-cp310-cp310-win_arm64.whl", hash = "sha256:3351ddb105ef010cc2ce474894c5d213c83dddb7abb96400beaa4926b0b745bd"},
|
||||
{file = "levenshtein-0.26.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:44c51f5d33b3cfb9db518b36f1288437a509edd82da94c4400f6a681758e0cb6"},
|
||||
{file = "levenshtein-0.26.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:56b93203e725f9df660e2afe3d26ba07d71871b6d6e05b8b767e688e23dfb076"},
|
||||
{file = "levenshtein-0.26.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:270d36c5da04a0d89990660aea8542227cbd8f5bc34e9fdfadd34916ff904520"},
|
||||
{file = "levenshtein-0.26.1-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:480674c05077eeb0b0f748546d4fcbb386d7c737f9fff0010400da3e8b552942"},
|
||||
{file = "levenshtein-0.26.1-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:13946e37323728695ba7a22f3345c2e907d23f4600bc700bf9b4352fb0c72a48"},
|
||||
{file = "levenshtein-0.26.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ceb673f572d1d0dc9b1cd75792bb8bad2ae8eb78a7c6721e23a3867d318cb6f2"},
|
||||
{file = "levenshtein-0.26.1-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:42d6fa242e3b310ce6bfd5af0c83e65ef10b608b885b3bb69863c01fb2fcff98"},
|
||||
{file = "levenshtein-0.26.1-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:b8b68295808893a81e0a1dbc2274c30dd90880f14d23078e8eb4325ee615fc68"},
|
||||
{file = "levenshtein-0.26.1-cp311-cp311-musllinux_1_2_i686.whl", hash = "sha256:b01061d377d1944eb67bc40bef5d4d2f762c6ab01598efd9297ce5d0047eb1b5"},
|
||||
{file = "levenshtein-0.26.1-cp311-cp311-musllinux_1_2_ppc64le.whl", hash = "sha256:9d12c8390f156745e533d01b30773b9753e41d8bbf8bf9dac4b97628cdf16314"},
|
||||
{file = "levenshtein-0.26.1-cp311-cp311-musllinux_1_2_s390x.whl", hash = "sha256:48825c9f967f922061329d1481b70e9fee937fc68322d6979bc623f69f75bc91"},
|
||||
{file = "levenshtein-0.26.1-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:d8ec137170b95736842f99c0e7a9fd8f5641d0c1b63b08ce027198545d983e2b"},
|
||||
{file = "levenshtein-0.26.1-cp311-cp311-win32.whl", hash = "sha256:798f2b525a2e90562f1ba9da21010dde0d73730e277acaa5c52d2a6364fd3e2a"},
|
||||
{file = "levenshtein-0.26.1-cp311-cp311-win_amd64.whl", hash = "sha256:55b1024516c59df55f1cf1a8651659a568f2c5929d863d3da1ce8893753153bd"},
|
||||
{file = "levenshtein-0.26.1-cp311-cp311-win_arm64.whl", hash = "sha256:e52575cbc6b9764ea138a6f82d73d3b1bc685fe62e207ff46a963d4c773799f6"},
|
||||
{file = "levenshtein-0.26.1-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:cc741ca406d3704dc331a69c04b061fc952509a069b79cab8287413f434684bd"},
|
||||
{file = "levenshtein-0.26.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:821ace3b4e1c2e02b43cf5dc61aac2ea43bdb39837ac890919c225a2c3f2fea4"},
|
||||
{file = "levenshtein-0.26.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f92694c9396f55d4c91087efacf81297bef152893806fc54c289fc0254b45384"},
|
||||
{file = "levenshtein-0.26.1-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:51ba374de7a1797d04a14a4f0ad3602d2d71fef4206bb20a6baaa6b6a502da58"},
|
||||
{file = "levenshtein-0.26.1-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:f7aa5c3327dda4ef952769bacec09c09ff5bf426e07fdc94478c37955681885b"},
|
||||
{file = "levenshtein-0.26.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:33e2517e8d3c221de2d1183f400aed64211fcfc77077b291ed9f3bb64f141cdc"},
|
||||
{file = "levenshtein-0.26.1-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:9092b622765c7649dd1d8af0f43354723dd6f4e570ac079ffd90b41033957438"},
|
||||
{file = "levenshtein-0.26.1-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:fc16796c85d7d8b259881d59cc8b5e22e940901928c2ff6924b2c967924e8a0b"},
|
||||
{file = "levenshtein-0.26.1-cp312-cp312-musllinux_1_2_i686.whl", hash = "sha256:e4370733967f5994ceeed8dc211089bedd45832ee688cecea17bfd35a9eb22b9"},
|
||||
{file = "levenshtein-0.26.1-cp312-cp312-musllinux_1_2_ppc64le.whl", hash = "sha256:3535ecfd88c9b283976b5bc61265855f59bba361881e92ed2b5367b6990c93fe"},
|
||||
{file = "levenshtein-0.26.1-cp312-cp312-musllinux_1_2_s390x.whl", hash = "sha256:90236e93d98bdfd708883a6767826fafd976dac8af8fc4a0fb423d4fa08e1bf0"},
|
||||
{file = "levenshtein-0.26.1-cp312-cp312-musllinux_1_2_x86_64.whl", hash = "sha256:04b7cabb82edf566b1579b3ed60aac0eec116655af75a3c551fee8754ffce2ea"},
|
||||
{file = "levenshtein-0.26.1-cp312-cp312-win32.whl", hash = "sha256:ae382af8c76f6d2a040c0d9ca978baf461702ceb3f79a0a3f6da8d596a484c5b"},
|
||||
{file = "levenshtein-0.26.1-cp312-cp312-win_amd64.whl", hash = "sha256:fd091209798cfdce53746f5769987b4108fe941c54fb2e058c016ffc47872918"},
|
||||
{file = "levenshtein-0.26.1-cp312-cp312-win_arm64.whl", hash = "sha256:7e82f2ea44a81ad6b30d92a110e04cd3c8c7c6034b629aca30a3067fa174ae89"},
|
||||
{file = "levenshtein-0.26.1-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:790374a9f5d2cbdb30ee780403a62e59bef51453ac020668c1564d1e43438f0e"},
|
||||
{file = "levenshtein-0.26.1-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:7b05c0415c386d00efda83d48db9db68edd02878d6dbc6df01194f12062be1bb"},
|
||||
{file = "levenshtein-0.26.1-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c3114586032361722ddededf28401ce5baf1cf617f9f49fb86b8766a45a423ff"},
|
||||
{file = "levenshtein-0.26.1-cp313-cp313-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:2532f8a13b68bf09f152d906f118a88da2063da22f44c90e904b142b0a53d534"},
|
||||
{file = "levenshtein-0.26.1-cp313-cp313-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:219c30be6aa734bf927188d1208b7d78d202a3eb017b1c5f01ab2034d2d4ccca"},
|
||||
{file = "levenshtein-0.26.1-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:397e245e77f87836308bd56305bba630010cd8298c34c4c44bd94990cdb3b7b1"},
|
||||
{file = "levenshtein-0.26.1-cp313-cp313-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:aeff6ea3576f72e26901544c6c55c72a7b79b9983b6f913cba0e9edbf2f87a97"},
|
||||
{file = "levenshtein-0.26.1-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:a19862e3539a697df722a08793994e334cd12791e8144851e8a1dee95a17ff63"},
|
||||
{file = "levenshtein-0.26.1-cp313-cp313-musllinux_1_2_i686.whl", hash = "sha256:dc3b5a64f57c3c078d58b1e447f7d68cad7ae1b23abe689215d03fc434f8f176"},
|
||||
{file = "levenshtein-0.26.1-cp313-cp313-musllinux_1_2_ppc64le.whl", hash = "sha256:bb6c7347424a91317c5e1b68041677e4c8ed3e7823b5bbaedb95bffb3c3497ea"},
|
||||
{file = "levenshtein-0.26.1-cp313-cp313-musllinux_1_2_s390x.whl", hash = "sha256:b817376de4195a207cc0e4ca37754c0e1e1078c2a2d35a6ae502afde87212f9e"},
|
||||
{file = "levenshtein-0.26.1-cp313-cp313-musllinux_1_2_x86_64.whl", hash = "sha256:7b50c3620ff47c9887debbb4c154aaaac3e46be7fc2e5789ee8dbe128bce6a17"},
|
||||
{file = "levenshtein-0.26.1-cp313-cp313-win32.whl", hash = "sha256:9fb859da90262eb474c190b3ca1e61dee83add022c676520f5c05fdd60df902a"},
|
||||
{file = "levenshtein-0.26.1-cp313-cp313-win_amd64.whl", hash = "sha256:8adcc90e3a5bfb0a463581d85e599d950fe3c2938ac6247b29388b64997f6e2d"},
|
||||
{file = "levenshtein-0.26.1-cp313-cp313-win_arm64.whl", hash = "sha256:c2599407e029865dc66d210b8804c7768cbdbf60f061d993bb488d5242b0b73e"},
|
||||
{file = "levenshtein-0.26.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:dc54ced948fc3feafce8ad4ba4239d8ffc733a0d70e40c0363ac2a7ab2b7251e"},
|
||||
{file = "levenshtein-0.26.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:e6516f69213ae393a220e904332f1a6bfc299ba22cf27a6520a1663a08eba0fb"},
|
||||
{file = "levenshtein-0.26.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f4cfea4eada1746d0c75a864bc7e9e63d4a6e987c852d6cec8d9cb0c83afe25b"},
|
||||
{file = "levenshtein-0.26.1-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:a323161dfeeac6800eb13cfe76a8194aec589cd948bcf1cdc03f66cc3ec26b72"},
|
||||
{file = "levenshtein-0.26.1-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:2c23e749b68ebc9a20b9047317b5cd2053b5856315bc8636037a8adcbb98bed1"},
|
||||
{file = "levenshtein-0.26.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8f80dd7432d4b6cf493d012d22148db7af769017deb31273e43406b1fb7f091c"},
|
||||
{file = "levenshtein-0.26.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:0ae7cd6e4312c6ef34b2e273836d18f9fff518d84d823feff5ad7c49668256e0"},
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||||
{file = "levenshtein-0.26.1-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:dcdad740e841d791b805421c2b20e859b4ed556396d3063b3aa64cd055be648c"},
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||||
{file = "levenshtein-0.26.1-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:e07afb1613d6f5fd99abd4e53ad3b446b4efaa0f0d8e9dfb1d6d1b9f3f884d32"},
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{file = "levenshtein-0.26.1-cp39-cp39-musllinux_1_2_ppc64le.whl", hash = "sha256:f1add8f1d83099a98ae4ac472d896b7e36db48c39d3db25adf12b373823cdeff"},
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{file = "levenshtein-0.26.1-cp39-cp39-musllinux_1_2_s390x.whl", hash = "sha256:1010814b1d7a60833a951f2756dfc5c10b61d09976ce96a0edae8fecdfb0ea7c"},
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||||
{file = "levenshtein-0.26.1-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:33fa329d1bb65ce85e83ceda281aea31cee9f2f6e167092cea54f922080bcc66"},
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||||
{file = "levenshtein-0.26.1-cp39-cp39-win32.whl", hash = "sha256:488a945312f2f16460ab61df5b4beb1ea2254c521668fd142ce6298006296c98"},
|
||||
{file = "levenshtein-0.26.1-cp39-cp39-win_amd64.whl", hash = "sha256:9f942104adfddd4b336c3997050121328c39479f69de702d7d144abb69ea7ab9"},
|
||||
{file = "levenshtein-0.26.1-cp39-cp39-win_arm64.whl", hash = "sha256:c1d8f85b2672939f85086ed75effcf768f6077516a3e299c2ba1f91bc4644c22"},
|
||||
{file = "levenshtein-0.26.1-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:6cf8f1efaf90ca585640c5d418c30b7d66d9ac215cee114593957161f63acde0"},
|
||||
{file = "levenshtein-0.26.1-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:d5b2953978b8c158dd5cd93af8216a5cfddbf9de66cf5481c2955f44bb20767a"},
|
||||
{file = "levenshtein-0.26.1-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b952b3732c4631c49917d4b15d78cb4a2aa006c1d5c12e2a23ba8e18a307a055"},
|
||||
{file = "levenshtein-0.26.1-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:07227281e12071168e6ae59238918a56d2a0682e529f747b5431664f302c0b42"},
|
||||
{file = "levenshtein-0.26.1-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:8191241cd8934feaf4d05d0cc0e5e72877cbb17c53bbf8c92af9f1aedaa247e9"},
|
||||
{file = "levenshtein-0.26.1-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:9e70d7ee157a9b698c73014f6e2b160830e7d2d64d2e342fefc3079af3c356fc"},
|
||||
{file = "levenshtein-0.26.1-pp39-pypy39_pp73-macosx_10_15_x86_64.whl", hash = "sha256:0eb3059f826f6cb0a5bca4a85928070f01e8202e7ccafcba94453470f83e49d4"},
|
||||
{file = "levenshtein-0.26.1-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:6c389e44da12d6fb1d7ba0a709a32a96c9391e9be4160ccb9269f37e040599ee"},
|
||||
{file = "levenshtein-0.26.1-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4e9de292f2c51a7d34a0ae23bec05391b8f61f35781cd3e4c6d0533e06250c55"},
|
||||
{file = "levenshtein-0.26.1-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9d87215113259efdca8716e53b6d59ab6d6009e119d95d45eccc083148855f33"},
|
||||
{file = "levenshtein-0.26.1-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:18f00a3eebf68a82fb651d8d0e810c10bfaa60c555d21dde3ff81350c74fb4c2"},
|
||||
{file = "levenshtein-0.26.1-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:b3554c1b59de63d05075577380340c185ff41b028e541c0888fddab3c259a2b4"},
|
||||
{file = "levenshtein-0.26.1.tar.gz", hash = "sha256:0d19ba22330d50609b2349021ec3cf7d905c6fe21195a2d0d876a146e7ed2575"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
rapidfuzz = ">=3.9.0,<4.0.0"
|
||||
|
||||
[[package]]
|
||||
name = "litellm"
|
||||
version = "1.51.3"
|
||||
description = "Library to easily interface with LLM API providers"
|
||||
optional = false
|
||||
python-versions = "!=2.7.*,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,!=3.7.*,>=3.8"
|
||||
files = [
|
||||
{file = "litellm-1.51.3-py3-none-any.whl", hash = "sha256:440d3c7cc5ab8eeb12cee8f4d806bff05b7db834ebc11117d7fa070a1142ced5"},
|
||||
{file = "litellm-1.51.3.tar.gz", hash = "sha256:31eff9fcbf7b058bac0fd7432c4ea0487e8555f12446a1f30e5862e33716f44d"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
aiohttp = "*"
|
||||
click = "*"
|
||||
importlib-metadata = ">=6.8.0"
|
||||
jinja2 = ">=3.1.2,<4.0.0"
|
||||
jsonschema = ">=4.22.0,<5.0.0"
|
||||
openai = ">=1.52.0"
|
||||
pydantic = ">=2.0.0,<3.0.0"
|
||||
python-dotenv = ">=0.2.0"
|
||||
requests = ">=2.31.0,<3.0.0"
|
||||
tiktoken = ">=0.7.0"
|
||||
tokenizers = "*"
|
||||
|
||||
[package.extras]
|
||||
extra-proxy = ["azure-identity (>=1.15.0,<2.0.0)", "azure-keyvault-secrets (>=4.8.0,<5.0.0)", "google-cloud-kms (>=2.21.3,<3.0.0)", "prisma (==0.11.0)", "resend (>=0.8.0,<0.9.0)"]
|
||||
proxy = ["PyJWT (>=2.8.0,<3.0.0)", "apscheduler (>=3.10.4,<4.0.0)", "backoff", "cryptography (>=42.0.5,<43.0.0)", "fastapi (>=0.111.0,<0.112.0)", "fastapi-sso (>=0.10.0,<0.11.0)", "gunicorn (>=22.0.0,<23.0.0)", "orjson (>=3.9.7,<4.0.0)", "pynacl (>=1.5.0,<2.0.0)", "python-multipart (>=0.0.9,<0.0.10)", "pyyaml (>=6.0.1,<7.0.0)", "rq", "uvicorn (>=0.22.0,<0.23.0)"]
|
||||
|
||||
[[package]]
|
||||
name = "llvmlite"
|
||||
version = "0.43.0"
|
||||
@@ -6265,6 +6393,31 @@ files = [
|
||||
{file = "opentelemetry_util_http-0.50b0.tar.gz", hash = "sha256:dc4606027e1bc02aabb9533cc330dd43f874fca492e4175c31d7154f341754af"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "opik"
|
||||
version = "1.3.4"
|
||||
description = "Comet tool for logging and evaluating LLM traces"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "opik-1.3.4-py3-none-any.whl", hash = "sha256:c5e10a9f1fb18188471cce2ae8b841e8b187d04ee3b1aed01c643102bae588fb"},
|
||||
{file = "opik-1.3.4.tar.gz", hash = "sha256:6013d3af4aea61f38b9e7121aa5d8cf4305a5ed3807b3f43d9ab91602b2a5785"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
click = "*"
|
||||
httpx = "<0.28.0"
|
||||
levenshtein = "<1.0.0"
|
||||
litellm = "*"
|
||||
openai = "<2.0.0"
|
||||
pydantic = ">=2.0.0,<3.0.0"
|
||||
pydantic-settings = ">=2.0.0,<3.0.0"
|
||||
pytest = "*"
|
||||
rich = "*"
|
||||
tenacity = "*"
|
||||
tqdm = "*"
|
||||
uuid6 = "*"
|
||||
|
||||
[[package]]
|
||||
name = "oracledb"
|
||||
version = "2.2.1"
|
||||
@@ -10230,6 +10383,17 @@ h2 = ["h2 (>=4,<5)"]
|
||||
socks = ["pysocks (>=1.5.6,!=1.5.7,<2.0)"]
|
||||
zstd = ["zstandard (>=0.18.0)"]
|
||||
|
||||
[[package]]
|
||||
name = "uuid6"
|
||||
version = "2024.7.10"
|
||||
description = "New time-based UUID formats which are suited for use as a database key"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "uuid6-2024.7.10-py3-none-any.whl", hash = "sha256:93432c00ba403751f722829ad21759ff9db051dea140bf81493271e8e4dd18b7"},
|
||||
{file = "uuid6-2024.7.10.tar.gz", hash = "sha256:2d29d7f63f593caaeea0e0d0dd0ad8129c9c663b29e19bdf882e864bedf18fb0"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "uvicorn"
|
||||
version = "0.34.0"
|
||||
@@ -11220,4 +11384,4 @@ cffi = ["cffi (>=1.11)"]
|
||||
[metadata]
|
||||
lock-version = "2.0"
|
||||
python-versions = ">=3.11,<3.13"
|
||||
content-hash = "907718f7ca775ad226c1f668f4bb6c6dbfa6cacc556fce43a8ad0b6f3c35095a"
|
||||
content-hash = "3bb0ce64c87712cf105c75105a0ca75c0523d6b27001ff6a623bb2a0d1343003"
|
||||
|
||||
@@ -59,6 +59,7 @@ numpy = "~1.26.4"
|
||||
oci = "~2.135.1"
|
||||
openai = "~1.52.0"
|
||||
openpyxl = "~3.1.5"
|
||||
opik = "~1.3.4"
|
||||
pandas = { version = "~2.2.2", extras = ["performance", "excel"] }
|
||||
pandas-stubs = "~2.2.3.241009"
|
||||
psycogreen = "~1.0.2"
|
||||
|
||||
@@ -286,7 +286,7 @@ class AppAnnotationService:
|
||||
df = pd.read_csv(file)
|
||||
result = []
|
||||
for index, row in df.iterrows():
|
||||
content = {"question": row[0], "answer": row[1]}
|
||||
content = {"question": row.iloc[0], "answer": row.iloc[1]}
|
||||
result.append(content)
|
||||
if len(result) == 0:
|
||||
raise ValueError("The CSV file is empty.")
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
import logging
|
||||
import uuid
|
||||
from enum import StrEnum
|
||||
from typing import Optional, cast
|
||||
from typing import Optional
|
||||
from urllib.parse import urlparse
|
||||
from uuid import uuid4
|
||||
|
||||
@@ -139,15 +139,6 @@ class AppDslService:
|
||||
status=ImportStatus.FAILED,
|
||||
error="Empty content from url",
|
||||
)
|
||||
|
||||
try:
|
||||
content = cast(bytes, content).decode("utf-8")
|
||||
except UnicodeDecodeError as e:
|
||||
return Import(
|
||||
id=import_id,
|
||||
status=ImportStatus.FAILED,
|
||||
error=f"Error decoding content: {e}",
|
||||
)
|
||||
except Exception as e:
|
||||
return Import(
|
||||
id=import_id,
|
||||
|
||||
@@ -82,7 +82,7 @@ class AudioService:
|
||||
from app import app
|
||||
from extensions.ext_database import db
|
||||
|
||||
def invoke_tts(text_content: str, app_model, voice: Optional[str] = None):
|
||||
def invoke_tts(text_content: str, app_model: App, voice: Optional[str] = None):
|
||||
with app.app_context():
|
||||
if app_model.mode in {AppMode.ADVANCED_CHAT.value, AppMode.WORKFLOW.value}:
|
||||
workflow = app_model.workflow
|
||||
@@ -95,6 +95,8 @@ class AudioService:
|
||||
|
||||
voice = features_dict["text_to_speech"].get("voice") if voice is None else voice
|
||||
else:
|
||||
if app_model.app_model_config is None:
|
||||
raise ValueError("AppModelConfig not found")
|
||||
text_to_speech_dict = app_model.app_model_config.text_to_speech_dict
|
||||
|
||||
if not text_to_speech_dict.get("enabled"):
|
||||
|
||||
@@ -71,7 +71,7 @@ from tasks.sync_website_document_indexing_task import sync_website_document_inde
|
||||
|
||||
class DatasetService:
|
||||
@staticmethod
|
||||
def get_datasets(page, per_page, tenant_id=None, user=None, search=None, tag_ids=None):
|
||||
def get_datasets(page, per_page, tenant_id=None, user=None, search=None, tag_ids=None, include_all=False):
|
||||
query = Dataset.query.filter(Dataset.tenant_id == tenant_id).order_by(Dataset.created_at.desc())
|
||||
|
||||
if user:
|
||||
@@ -86,7 +86,7 @@ class DatasetService:
|
||||
else:
|
||||
return [], 0
|
||||
else:
|
||||
if user.current_role != TenantAccountRole.OWNER:
|
||||
if user.current_role != TenantAccountRole.OWNER or not include_all:
|
||||
# show all datasets that the user has permission to access
|
||||
if permitted_dataset_ids:
|
||||
query = query.filter(
|
||||
|
||||
@@ -59,6 +59,15 @@ class OpsService:
|
||||
except Exception:
|
||||
new_decrypt_tracing_config.update({"project_url": "https://smith.langchain.com/"})
|
||||
|
||||
if tracing_provider == "opik" and (
|
||||
"project_url" not in decrypt_tracing_config or not decrypt_tracing_config.get("project_url")
|
||||
):
|
||||
try:
|
||||
project_url = OpsTraceManager.get_trace_config_project_url(decrypt_tracing_config, tracing_provider)
|
||||
new_decrypt_tracing_config.update({"project_url": project_url})
|
||||
except Exception:
|
||||
new_decrypt_tracing_config.update({"project_url": "https://www.comet.com/opik/"})
|
||||
|
||||
trace_config_data.tracing_config = new_decrypt_tracing_config
|
||||
return trace_config_data.to_dict()
|
||||
|
||||
@@ -92,7 +101,7 @@ class OpsService:
|
||||
if tracing_provider == "langfuse":
|
||||
project_key = OpsTraceManager.get_trace_config_project_key(tracing_config, tracing_provider)
|
||||
project_url = "{host}/project/{key}".format(host=tracing_config.get("host"), key=project_key)
|
||||
elif tracing_provider == "langsmith":
|
||||
elif tracing_provider in ("langsmith", "opik"):
|
||||
project_url = OpsTraceManager.get_trace_config_project_url(tracing_config, tracing_provider)
|
||||
else:
|
||||
project_url = None
|
||||
|
||||
@@ -77,8 +77,8 @@ def batch_create_segment_to_index_task(
|
||||
index_node_id=doc_id,
|
||||
index_node_hash=segment_hash,
|
||||
position=max_position + 1 if max_position else 1,
|
||||
content=content,
|
||||
word_count=len(content),
|
||||
content=content_str,
|
||||
word_count=len(content_str),
|
||||
tokens=tokens,
|
||||
created_by=user_id,
|
||||
indexing_at=datetime.datetime.now(datetime.UTC).replace(tzinfo=None),
|
||||
|
||||
@@ -4,7 +4,6 @@ from app_fixture import mock_user # type: ignore
|
||||
|
||||
|
||||
def test_post_requires_login(app):
|
||||
with app.test_client() as client:
|
||||
with patch("flask_login.utils._get_user", mock_user):
|
||||
response = client.get("/console/api/data-source/integrates")
|
||||
assert response.status_code == 200
|
||||
with app.test_client() as client, patch("flask_login.utils._get_user", mock_user):
|
||||
response = client.get("/console/api/data-source/integrates")
|
||||
assert response.status_code == 200
|
||||
|
||||
@@ -2,7 +2,7 @@ version: '3'
|
||||
services:
|
||||
# API service
|
||||
api:
|
||||
image: langgenius/dify-api:0.15.0
|
||||
image: langgenius/dify-api:0.15.1
|
||||
restart: always
|
||||
environment:
|
||||
# Startup mode, 'api' starts the API server.
|
||||
@@ -227,7 +227,7 @@ services:
|
||||
# worker service
|
||||
# The Celery worker for processing the queue.
|
||||
worker:
|
||||
image: langgenius/dify-api:0.15.0
|
||||
image: langgenius/dify-api:0.15.1
|
||||
restart: always
|
||||
environment:
|
||||
CONSOLE_WEB_URL: ''
|
||||
@@ -397,7 +397,7 @@ services:
|
||||
|
||||
# Frontend web application.
|
||||
web:
|
||||
image: langgenius/dify-web:0.15.0
|
||||
image: langgenius/dify-web:0.15.1
|
||||
restart: always
|
||||
environment:
|
||||
# The base URL of console application api server, refers to the Console base URL of WEB service if console domain is
|
||||
|
||||
+1
-1
@@ -513,7 +513,7 @@ TENCENT_VECTOR_DB_SHARD=1
|
||||
TENCENT_VECTOR_DB_REPLICAS=2
|
||||
|
||||
# ElasticSearch configuration, only available when VECTOR_STORE is `elasticsearch`
|
||||
ELASTICSEARCH_HOST=elasticsearch
|
||||
ELASTICSEARCH_HOST=0.0.0.0
|
||||
ELASTICSEARCH_PORT=9200
|
||||
ELASTICSEARCH_USERNAME=elastic
|
||||
ELASTICSEARCH_PASSWORD=elastic
|
||||
|
||||
@@ -2,7 +2,7 @@ x-shared-env: &shared-api-worker-env
|
||||
services:
|
||||
# API service
|
||||
api:
|
||||
image: langgenius/dify-api:0.15.0
|
||||
image: langgenius/dify-api:0.15.1
|
||||
restart: always
|
||||
environment:
|
||||
# Use the shared environment variables.
|
||||
@@ -25,7 +25,7 @@ services:
|
||||
# worker service
|
||||
# The Celery worker for processing the queue.
|
||||
worker:
|
||||
image: langgenius/dify-api:0.15.0
|
||||
image: langgenius/dify-api:0.15.1
|
||||
restart: always
|
||||
environment:
|
||||
# Use the shared environment variables.
|
||||
@@ -47,7 +47,7 @@ services:
|
||||
|
||||
# Frontend web application.
|
||||
web:
|
||||
image: langgenius/dify-web:0.15.0
|
||||
image: langgenius/dify-web:0.15.1
|
||||
restart: always
|
||||
environment:
|
||||
CONSOLE_API_URL: ${CONSOLE_API_URL:-}
|
||||
@@ -409,7 +409,7 @@ services:
|
||||
|
||||
milvus-standalone:
|
||||
container_name: milvus-standalone
|
||||
image: milvusdb/milvus:v2.3.1
|
||||
image: milvusdb/milvus:v2.5.0-beta
|
||||
profiles:
|
||||
- milvus
|
||||
command: [ 'milvus', 'run', 'standalone' ]
|
||||
@@ -493,20 +493,28 @@ services:
|
||||
container_name: elasticsearch
|
||||
profiles:
|
||||
- elasticsearch
|
||||
- elasticsearch-ja
|
||||
restart: always
|
||||
volumes:
|
||||
- ./elasticsearch/docker-entrypoint.sh:/docker-entrypoint-mount.sh
|
||||
- dify_es01_data:/usr/share/elasticsearch/data
|
||||
environment:
|
||||
ELASTIC_PASSWORD: ${ELASTICSEARCH_PASSWORD:-elastic}
|
||||
VECTOR_STORE: ${VECTOR_STORE:-}
|
||||
cluster.name: dify-es-cluster
|
||||
node.name: dify-es0
|
||||
discovery.type: single-node
|
||||
xpack.license.self_generated.type: trial
|
||||
xpack.license.self_generated.type: basic
|
||||
xpack.security.enabled: 'true'
|
||||
xpack.security.enrollment.enabled: 'false'
|
||||
xpack.security.http.ssl.enabled: 'false'
|
||||
ports:
|
||||
- ${ELASTICSEARCH_PORT:-9200}:9200
|
||||
deploy:
|
||||
resources:
|
||||
limits:
|
||||
memory: 2g
|
||||
entrypoint: [ 'sh', '-c', "sh /docker-entrypoint-mount.sh" ]
|
||||
healthcheck:
|
||||
test: [ 'CMD', 'curl', '-s', 'http://localhost:9200/_cluster/health?pretty' ]
|
||||
interval: 30s
|
||||
|
||||
@@ -393,7 +393,7 @@ x-shared-env: &shared-api-worker-env
|
||||
services:
|
||||
# API service
|
||||
api:
|
||||
image: langgenius/dify-api:0.15.0
|
||||
image: langgenius/dify-api:0.15.1
|
||||
restart: always
|
||||
environment:
|
||||
# Use the shared environment variables.
|
||||
@@ -416,7 +416,7 @@ services:
|
||||
# worker service
|
||||
# The Celery worker for processing the queue.
|
||||
worker:
|
||||
image: langgenius/dify-api:0.15.0
|
||||
image: langgenius/dify-api:0.15.1
|
||||
restart: always
|
||||
environment:
|
||||
# Use the shared environment variables.
|
||||
@@ -438,7 +438,7 @@ services:
|
||||
|
||||
# Frontend web application.
|
||||
web:
|
||||
image: langgenius/dify-web:0.15.0
|
||||
image: langgenius/dify-web:0.15.1
|
||||
restart: always
|
||||
environment:
|
||||
CONSOLE_API_URL: ${CONSOLE_API_URL:-}
|
||||
|
||||
+66
-10
@@ -5,7 +5,7 @@ import { useTranslation } from 'react-i18next'
|
||||
import { useBoolean } from 'ahooks'
|
||||
import TracingIcon from './tracing-icon'
|
||||
import ProviderPanel from './provider-panel'
|
||||
import type { LangFuseConfig, LangSmithConfig } from './type'
|
||||
import type { LangFuseConfig, LangSmithConfig, OpikConfig } from './type'
|
||||
import { TracingProvider } from './type'
|
||||
import ProviderConfigModal from './provider-config-modal'
|
||||
import Indicator from '@/app/components/header/indicator'
|
||||
@@ -23,7 +23,8 @@ export type PopupProps = {
|
||||
onChooseProvider: (provider: TracingProvider) => void
|
||||
langSmithConfig: LangSmithConfig | null
|
||||
langFuseConfig: LangFuseConfig | null
|
||||
onConfigUpdated: (provider: TracingProvider, payload: LangSmithConfig | LangFuseConfig) => void
|
||||
opikConfig: OpikConfig | null
|
||||
onConfigUpdated: (provider: TracingProvider, payload: LangSmithConfig | LangFuseConfig | OpikConfig) => void
|
||||
onConfigRemoved: (provider: TracingProvider) => void
|
||||
}
|
||||
|
||||
@@ -36,6 +37,7 @@ const ConfigPopup: FC<PopupProps> = ({
|
||||
onChooseProvider,
|
||||
langSmithConfig,
|
||||
langFuseConfig,
|
||||
opikConfig,
|
||||
onConfigUpdated,
|
||||
onConfigRemoved,
|
||||
}) => {
|
||||
@@ -59,7 +61,7 @@ const ConfigPopup: FC<PopupProps> = ({
|
||||
}
|
||||
}, [onChooseProvider])
|
||||
|
||||
const handleConfigUpdated = useCallback((payload: LangSmithConfig | LangFuseConfig) => {
|
||||
const handleConfigUpdated = useCallback((payload: LangSmithConfig | LangFuseConfig | OpikConfig) => {
|
||||
onConfigUpdated(currentProvider!, payload)
|
||||
hideConfigModal()
|
||||
}, [currentProvider, hideConfigModal, onConfigUpdated])
|
||||
@@ -69,8 +71,8 @@ const ConfigPopup: FC<PopupProps> = ({
|
||||
hideConfigModal()
|
||||
}, [currentProvider, hideConfigModal, onConfigRemoved])
|
||||
|
||||
const providerAllConfigured = langSmithConfig && langFuseConfig
|
||||
const providerAllNotConfigured = !langSmithConfig && !langFuseConfig
|
||||
const providerAllConfigured = langSmithConfig && langFuseConfig && opikConfig
|
||||
const providerAllNotConfigured = !langSmithConfig && !langFuseConfig && !opikConfig
|
||||
|
||||
const switchContent = (
|
||||
<Switch
|
||||
@@ -90,6 +92,7 @@ const ConfigPopup: FC<PopupProps> = ({
|
||||
onConfig={handleOnConfig(TracingProvider.langSmith)}
|
||||
isChosen={chosenProvider === TracingProvider.langSmith}
|
||||
onChoose={handleOnChoose(TracingProvider.langSmith)}
|
||||
key="langSmith-provider-panel"
|
||||
/>
|
||||
)
|
||||
|
||||
@@ -102,9 +105,61 @@ const ConfigPopup: FC<PopupProps> = ({
|
||||
onConfig={handleOnConfig(TracingProvider.langfuse)}
|
||||
isChosen={chosenProvider === TracingProvider.langfuse}
|
||||
onChoose={handleOnChoose(TracingProvider.langfuse)}
|
||||
key="langfuse-provider-panel"
|
||||
/>
|
||||
)
|
||||
|
||||
const opikPanel = (
|
||||
<ProviderPanel
|
||||
type={TracingProvider.opik}
|
||||
readOnly={readOnly}
|
||||
config={opikConfig}
|
||||
hasConfigured={!!opikConfig}
|
||||
onConfig={handleOnConfig(TracingProvider.opik)}
|
||||
isChosen={chosenProvider === TracingProvider.opik}
|
||||
onChoose={handleOnChoose(TracingProvider.opik)}
|
||||
key="opik-provider-panel"
|
||||
/>
|
||||
)
|
||||
|
||||
const configuredProviderPanel = () => {
|
||||
const configuredPanels: ProviderPanel[] = []
|
||||
|
||||
if (langSmithConfig)
|
||||
configuredPanels.push(langSmithPanel)
|
||||
|
||||
if (langFuseConfig)
|
||||
configuredPanels.push(langfusePanel)
|
||||
|
||||
if (opikConfig)
|
||||
configuredPanels.push(opikPanel)
|
||||
|
||||
return configuredPanels
|
||||
}
|
||||
|
||||
const moreProviderPanel = () => {
|
||||
const notConfiguredPanels: ProviderPanel[] = []
|
||||
|
||||
if (!langSmithConfig)
|
||||
notConfiguredPanels.push(langSmithPanel)
|
||||
|
||||
if (!langFuseConfig)
|
||||
notConfiguredPanels.push(langfusePanel)
|
||||
|
||||
if (!opikConfig)
|
||||
notConfiguredPanels.push(opikPanel)
|
||||
|
||||
return notConfiguredPanels
|
||||
}
|
||||
|
||||
const configuredProviderConfig = () => {
|
||||
if (currentProvider === TracingProvider.langSmith)
|
||||
return langSmithConfig
|
||||
if (currentProvider === TracingProvider.langfuse)
|
||||
return langFuseConfig
|
||||
return opikConfig
|
||||
}
|
||||
|
||||
return (
|
||||
<div className='w-[420px] p-4 rounded-2xl bg-white border-[0.5px] border-black/5 shadow-lg'>
|
||||
<div className='flex justify-between items-center'>
|
||||
@@ -146,18 +201,19 @@ const ConfigPopup: FC<PopupProps> = ({
|
||||
<div className='mt-2 space-y-2'>
|
||||
{langSmithPanel}
|
||||
{langfusePanel}
|
||||
{opikPanel}
|
||||
</div>
|
||||
</>
|
||||
)
|
||||
: (
|
||||
<>
|
||||
<div className='leading-4 text-xs font-medium text-gray-500 uppercase'>{t(`${I18N_PREFIX}.configProviderTitle.configured`)}</div>
|
||||
<div className='mt-2'>
|
||||
{langSmithConfig ? langSmithPanel : langfusePanel}
|
||||
<div className='mt-2 space-y-2'>
|
||||
{configuredProviderPanel()}
|
||||
</div>
|
||||
<div className='mt-3 leading-4 text-xs font-medium text-gray-500 uppercase'>{t(`${I18N_PREFIX}.configProviderTitle.moreProvider`)}</div>
|
||||
<div className='mt-2'>
|
||||
{!langSmithConfig ? langSmithPanel : langfusePanel}
|
||||
<div className='mt-2 space-y-2'>
|
||||
{moreProviderPanel()}
|
||||
</div>
|
||||
</>
|
||||
)}
|
||||
@@ -167,7 +223,7 @@ const ConfigPopup: FC<PopupProps> = ({
|
||||
<ProviderConfigModal
|
||||
appId={appId}
|
||||
type={currentProvider!}
|
||||
payload={currentProvider === TracingProvider.langSmith ? langSmithConfig : langFuseConfig}
|
||||
payload={configuredProviderConfig()}
|
||||
onCancel={hideConfigModal}
|
||||
onSaved={handleConfigUpdated}
|
||||
onChosen={onChooseProvider}
|
||||
|
||||
@@ -3,4 +3,5 @@ import { TracingProvider } from './type'
|
||||
export const docURL = {
|
||||
[TracingProvider.langSmith]: 'https://docs.smith.langchain.com/',
|
||||
[TracingProvider.langfuse]: 'https://docs.langfuse.com',
|
||||
[TracingProvider.opik]: 'https://www.comet.com/docs/opik/tracing/integrations/dify#setup-instructions',
|
||||
}
|
||||
|
||||
@@ -9,7 +9,7 @@ import { TracingProvider } from './type'
|
||||
import TracingIcon from './tracing-icon'
|
||||
import ConfigButton from './config-button'
|
||||
import cn from '@/utils/classnames'
|
||||
import { LangfuseIcon, LangsmithIcon } from '@/app/components/base/icons/src/public/tracing'
|
||||
import { LangfuseIcon, LangsmithIcon, OpikIcon } from '@/app/components/base/icons/src/public/tracing'
|
||||
import Indicator from '@/app/components/header/indicator'
|
||||
import { fetchTracingConfig as doFetchTracingConfig, fetchTracingStatus, updateTracingStatus } from '@/service/apps'
|
||||
import type { TracingStatus } from '@/models/app'
|
||||
@@ -70,11 +70,20 @@ const Panel: FC = () => {
|
||||
})
|
||||
}
|
||||
const inUseTracingProvider: TracingProvider | null = tracingStatus?.tracing_provider || null
|
||||
const InUseProviderIcon = inUseTracingProvider === TracingProvider.langSmith ? LangsmithIcon : LangfuseIcon
|
||||
|
||||
const InUseProviderIcon
|
||||
= inUseTracingProvider === TracingProvider.langSmith
|
||||
? LangsmithIcon
|
||||
: inUseTracingProvider === TracingProvider.langfuse
|
||||
? LangfuseIcon
|
||||
: inUseTracingProvider === TracingProvider.opik
|
||||
? OpikIcon
|
||||
: null
|
||||
|
||||
const [langSmithConfig, setLangSmithConfig] = useState<LangSmithConfig | null>(null)
|
||||
const [langFuseConfig, setLangFuseConfig] = useState<LangFuseConfig | null>(null)
|
||||
const hasConfiguredTracing = !!(langSmithConfig || langFuseConfig)
|
||||
const [opikConfig, setOpikConfig] = useState<OpikConfig | null>(null)
|
||||
const hasConfiguredTracing = !!(langSmithConfig || langFuseConfig || opikConfig)
|
||||
|
||||
const fetchTracingConfig = async () => {
|
||||
const { tracing_config: langSmithConfig, has_not_configured: langSmithHasNotConfig } = await doFetchTracingConfig({ appId, provider: TracingProvider.langSmith })
|
||||
@@ -83,6 +92,9 @@ const Panel: FC = () => {
|
||||
const { tracing_config: langFuseConfig, has_not_configured: langFuseHasNotConfig } = await doFetchTracingConfig({ appId, provider: TracingProvider.langfuse })
|
||||
if (!langFuseHasNotConfig)
|
||||
setLangFuseConfig(langFuseConfig as LangFuseConfig)
|
||||
const { tracing_config: opikConfig, has_not_configured: OpikHasNotConfig } = await doFetchTracingConfig({ appId, provider: TracingProvider.opik })
|
||||
if (!OpikHasNotConfig)
|
||||
setOpikConfig(opikConfig as OpikConfig)
|
||||
}
|
||||
|
||||
const handleTracingConfigUpdated = async (provider: TracingProvider) => {
|
||||
@@ -90,15 +102,19 @@ const Panel: FC = () => {
|
||||
const { tracing_config } = await doFetchTracingConfig({ appId, provider })
|
||||
if (provider === TracingProvider.langSmith)
|
||||
setLangSmithConfig(tracing_config as LangSmithConfig)
|
||||
else
|
||||
else if (provider === TracingProvider.langSmith)
|
||||
setLangFuseConfig(tracing_config as LangFuseConfig)
|
||||
else if (provider === TracingProvider.opik)
|
||||
setOpikConfig(tracing_config as OpikConfig)
|
||||
}
|
||||
|
||||
const handleTracingConfigRemoved = (provider: TracingProvider) => {
|
||||
if (provider === TracingProvider.langSmith)
|
||||
setLangSmithConfig(null)
|
||||
else
|
||||
else if (provider === TracingProvider.langSmith)
|
||||
setLangFuseConfig(null)
|
||||
else if (provider === TracingProvider.opik)
|
||||
setOpikConfig(null)
|
||||
if (provider === inUseTracingProvider) {
|
||||
handleTracingStatusChange({
|
||||
enabled: false,
|
||||
@@ -167,6 +183,7 @@ const Panel: FC = () => {
|
||||
onChooseProvider={handleChooseProvider}
|
||||
langSmithConfig={langSmithConfig}
|
||||
langFuseConfig={langFuseConfig}
|
||||
opikConfig={opikConfig}
|
||||
onConfigUpdated={handleTracingConfigUpdated}
|
||||
onConfigRemoved={handleTracingConfigRemoved}
|
||||
controlShowPopup={controlShowPopup}
|
||||
|
||||
+51
-5
@@ -4,7 +4,7 @@ import React, { useCallback, useState } from 'react'
|
||||
import { useTranslation } from 'react-i18next'
|
||||
import { useBoolean } from 'ahooks'
|
||||
import Field from './field'
|
||||
import type { LangFuseConfig, LangSmithConfig } from './type'
|
||||
import type { LangFuseConfig, LangSmithConfig, OpikConfig } from './type'
|
||||
import { TracingProvider } from './type'
|
||||
import { docURL } from './config'
|
||||
import {
|
||||
@@ -21,10 +21,10 @@ import Toast from '@/app/components/base/toast'
|
||||
type Props = {
|
||||
appId: string
|
||||
type: TracingProvider
|
||||
payload?: LangSmithConfig | LangFuseConfig | null
|
||||
payload?: LangSmithConfig | LangFuseConfig | OpikConfig | null
|
||||
onRemoved: () => void
|
||||
onCancel: () => void
|
||||
onSaved: (payload: LangSmithConfig | LangFuseConfig) => void
|
||||
onSaved: (payload: LangSmithConfig | LangFuseConfig | OpikConfig) => void
|
||||
onChosen: (provider: TracingProvider) => void
|
||||
}
|
||||
|
||||
@@ -42,6 +42,13 @@ const langFuseConfigTemplate = {
|
||||
host: '',
|
||||
}
|
||||
|
||||
const opikConfigTemplate = {
|
||||
api_key: '',
|
||||
project: '',
|
||||
url: '',
|
||||
workspace: '',
|
||||
}
|
||||
|
||||
const ProviderConfigModal: FC<Props> = ({
|
||||
appId,
|
||||
type,
|
||||
@@ -55,14 +62,17 @@ const ProviderConfigModal: FC<Props> = ({
|
||||
const isEdit = !!payload
|
||||
const isAdd = !isEdit
|
||||
const [isSaving, setIsSaving] = useState(false)
|
||||
const [config, setConfig] = useState<LangSmithConfig | LangFuseConfig>((() => {
|
||||
const [config, setConfig] = useState<LangSmithConfig | LangFuseConfig | OpikConfig>((() => {
|
||||
if (isEdit)
|
||||
return payload
|
||||
|
||||
if (type === TracingProvider.langSmith)
|
||||
return langSmithConfigTemplate
|
||||
|
||||
return langFuseConfigTemplate
|
||||
else if (type === TracingProvider.langfuse)
|
||||
return langFuseConfigTemplate
|
||||
|
||||
return opikConfigTemplate
|
||||
})())
|
||||
const [isShowRemoveConfirm, {
|
||||
setTrue: showRemoveConfirm,
|
||||
@@ -111,6 +121,10 @@ const ProviderConfigModal: FC<Props> = ({
|
||||
errorMessage = t('common.errorMsg.fieldRequired', { field: 'Host' })
|
||||
}
|
||||
|
||||
if (type === TracingProvider.opik) {
|
||||
const postData = config as OpikConfig
|
||||
}
|
||||
|
||||
return errorMessage
|
||||
}, [config, t, type])
|
||||
const handleSave = useCallback(async () => {
|
||||
@@ -215,6 +229,38 @@ const ProviderConfigModal: FC<Props> = ({
|
||||
/>
|
||||
</>
|
||||
)}
|
||||
{type === TracingProvider.opik && (
|
||||
<>
|
||||
<Field
|
||||
label='API Key'
|
||||
labelClassName='!text-sm'
|
||||
value={(config as OpikConfig).api_key}
|
||||
onChange={handleConfigChange('api_key')}
|
||||
placeholder={t(`${I18N_PREFIX}.placeholder`, { key: 'API Key' })!}
|
||||
/>
|
||||
<Field
|
||||
label={t(`${I18N_PREFIX}.project`)!}
|
||||
labelClassName='!text-sm'
|
||||
value={(config as OpikConfig).project}
|
||||
onChange={handleConfigChange('project')}
|
||||
placeholder={t(`${I18N_PREFIX}.placeholder`, { key: t(`${I18N_PREFIX}.project`) })!}
|
||||
/>
|
||||
<Field
|
||||
label='Workspace'
|
||||
labelClassName='!text-sm'
|
||||
value={(config as OpikConfig).workspace}
|
||||
onChange={handleConfigChange('workspace')}
|
||||
placeholder={'default'}
|
||||
/>
|
||||
<Field
|
||||
label='Url'
|
||||
labelClassName='!text-sm'
|
||||
value={(config as OpikConfig).url}
|
||||
onChange={handleConfigChange('url')}
|
||||
placeholder={'https://www.comet.com/opik/api/'}
|
||||
/>
|
||||
</>
|
||||
)}
|
||||
|
||||
</div>
|
||||
<div className='my-8 flex justify-between items-center h-8'>
|
||||
|
||||
+2
-1
@@ -4,7 +4,7 @@ import React, { useCallback } from 'react'
|
||||
import { useTranslation } from 'react-i18next'
|
||||
import { TracingProvider } from './type'
|
||||
import cn from '@/utils/classnames'
|
||||
import { LangfuseIconBig, LangsmithIconBig } from '@/app/components/base/icons/src/public/tracing'
|
||||
import { LangfuseIconBig, LangsmithIconBig, OpikIconBig } from '@/app/components/base/icons/src/public/tracing'
|
||||
import { Settings04 } from '@/app/components/base/icons/src/vender/line/general'
|
||||
import { Eye as View } from '@/app/components/base/icons/src/vender/solid/general'
|
||||
|
||||
@@ -24,6 +24,7 @@ const getIcon = (type: TracingProvider) => {
|
||||
return ({
|
||||
[TracingProvider.langSmith]: LangsmithIconBig,
|
||||
[TracingProvider.langfuse]: LangfuseIconBig,
|
||||
[TracingProvider.opik]: OpikIconBig,
|
||||
})[type]
|
||||
}
|
||||
|
||||
|
||||
@@ -1,6 +1,7 @@
|
||||
export enum TracingProvider {
|
||||
langSmith = 'langsmith',
|
||||
langfuse = 'langfuse',
|
||||
opik = 'opik',
|
||||
}
|
||||
|
||||
export type LangSmithConfig = {
|
||||
@@ -14,3 +15,10 @@ export type LangFuseConfig = {
|
||||
secret_key: string
|
||||
host: string
|
||||
}
|
||||
|
||||
export type OpikConfig = {
|
||||
api_key: string
|
||||
project: string
|
||||
workspace: string
|
||||
url: string
|
||||
}
|
||||
|
||||
@@ -4,7 +4,8 @@
|
||||
import { useEffect, useMemo, useRef, useState } from 'react'
|
||||
import { useRouter } from 'next/navigation'
|
||||
import { useTranslation } from 'react-i18next'
|
||||
import { useDebounceFn } from 'ahooks'
|
||||
import { useBoolean, useDebounceFn } from 'ahooks'
|
||||
import { useQuery } from '@tanstack/react-query'
|
||||
|
||||
// Components
|
||||
import ExternalAPIPanel from '../../components/datasets/external-api/external-api-panel'
|
||||
@@ -16,7 +17,9 @@ import TabSliderNew from '@/app/components/base/tab-slider-new'
|
||||
import TagManagementModal from '@/app/components/base/tag-management'
|
||||
import TagFilter from '@/app/components/base/tag-management/filter'
|
||||
import Button from '@/app/components/base/button'
|
||||
import Input from '@/app/components/base/input'
|
||||
import { ApiConnectionMod } from '@/app/components/base/icons/src/vender/solid/development'
|
||||
import CheckboxWithLabel from '@/app/components/datasets/create/website/base/checkbox-with-label'
|
||||
|
||||
// Services
|
||||
import { fetchDatasetApiBaseUrl } from '@/service/datasets'
|
||||
@@ -26,16 +29,14 @@ import { useTabSearchParams } from '@/hooks/use-tab-searchparams'
|
||||
import { useStore as useTagStore } from '@/app/components/base/tag-management/store'
|
||||
import { useAppContext } from '@/context/app-context'
|
||||
import { useExternalApiPanel } from '@/context/external-api-panel-context'
|
||||
// eslint-disable-next-line import/order
|
||||
import { useQuery } from '@tanstack/react-query'
|
||||
import Input from '@/app/components/base/input'
|
||||
|
||||
const Container = () => {
|
||||
const { t } = useTranslation()
|
||||
const router = useRouter()
|
||||
const { currentWorkspace } = useAppContext()
|
||||
const { currentWorkspace, isCurrentWorkspaceOwner } = useAppContext()
|
||||
const showTagManagementModal = useTagStore(s => s.showTagManagementModal)
|
||||
const { showExternalApiPanel, setShowExternalApiPanel } = useExternalApiPanel()
|
||||
const [includeAll, { toggle: toggleIncludeAll }] = useBoolean(false)
|
||||
|
||||
const options = useMemo(() => {
|
||||
return [
|
||||
@@ -81,7 +82,7 @@ const Container = () => {
|
||||
}, [currentWorkspace, router])
|
||||
|
||||
return (
|
||||
<div ref={containerRef} className='grow relative flex flex-col bg-background-body overflow-y-auto'>
|
||||
<div ref={containerRef} className='grow relative flex flex-col bg-background-body overflow-y-auto scroll-container'>
|
||||
<div className='sticky top-0 flex justify-between pt-4 px-12 pb-2 leading-[56px] bg-background-body z-10 flex-wrap gap-y-2'>
|
||||
<TabSliderNew
|
||||
value={activeTab}
|
||||
@@ -90,6 +91,14 @@ const Container = () => {
|
||||
/>
|
||||
{activeTab === 'dataset' && (
|
||||
<div className='flex items-center justify-center gap-2'>
|
||||
{isCurrentWorkspaceOwner && <CheckboxWithLabel
|
||||
isChecked={includeAll}
|
||||
onChange={toggleIncludeAll}
|
||||
label={t('dataset.allKnowledge')}
|
||||
labelClassName='system-md-regular text-text-secondary'
|
||||
className='mr-2'
|
||||
tooltip={t('dataset.allKnowledgeDescription') as string}
|
||||
/>}
|
||||
<TagFilter type='knowledge' value={tagFilterValue} onChange={handleTagsChange} />
|
||||
<Input
|
||||
showLeftIcon
|
||||
@@ -113,7 +122,7 @@ const Container = () => {
|
||||
</div>
|
||||
{activeTab === 'dataset' && (
|
||||
<>
|
||||
<Datasets containerRef={containerRef} tags={tagIDs} keywords={searchKeywords} />
|
||||
<Datasets containerRef={containerRef} tags={tagIDs} keywords={searchKeywords} includeAll={includeAll} />
|
||||
<DatasetFooter />
|
||||
{showTagManagementModal && (
|
||||
<TagManagementModal type='knowledge' show={showTagManagementModal} />
|
||||
|
||||
@@ -6,7 +6,7 @@ import { debounce } from 'lodash-es'
|
||||
import { useTranslation } from 'react-i18next'
|
||||
import NewDatasetCard from './NewDatasetCard'
|
||||
import DatasetCard from './DatasetCard'
|
||||
import type { DataSetListResponse } from '@/models/datasets'
|
||||
import type { DataSetListResponse, FetchDatasetsParams } from '@/models/datasets'
|
||||
import { fetchDatasets } from '@/service/datasets'
|
||||
import { useAppContext } from '@/context/app-context'
|
||||
|
||||
@@ -15,13 +15,15 @@ const getKey = (
|
||||
previousPageData: DataSetListResponse,
|
||||
tags: string[],
|
||||
keyword: string,
|
||||
includeAll: boolean,
|
||||
) => {
|
||||
if (!pageIndex || previousPageData.has_more) {
|
||||
const params: any = {
|
||||
const params: FetchDatasetsParams = {
|
||||
url: 'datasets',
|
||||
params: {
|
||||
page: pageIndex + 1,
|
||||
limit: 30,
|
||||
include_all: includeAll,
|
||||
},
|
||||
}
|
||||
if (tags.length)
|
||||
@@ -37,16 +39,18 @@ type Props = {
|
||||
containerRef: React.RefObject<HTMLDivElement>
|
||||
tags: string[]
|
||||
keywords: string
|
||||
includeAll: boolean
|
||||
}
|
||||
|
||||
const Datasets = ({
|
||||
containerRef,
|
||||
tags,
|
||||
keywords,
|
||||
includeAll,
|
||||
}: Props) => {
|
||||
const { isCurrentWorkspaceEditor } = useAppContext()
|
||||
const { data, isLoading, setSize, mutate } = useSWRInfinite(
|
||||
(pageIndex: number, previousPageData: DataSetListResponse) => getKey(pageIndex, previousPageData, tags, keywords),
|
||||
(pageIndex: number, previousPageData: DataSetListResponse) => getKey(pageIndex, previousPageData, tags, keywords, includeAll),
|
||||
fetchDatasets,
|
||||
{ revalidateFirstPage: false, revalidateAll: true },
|
||||
)
|
||||
|
||||
@@ -1,7 +1,9 @@
|
||||
'use client'
|
||||
|
||||
import { type FC, useEffect } from 'react'
|
||||
import { useEffect, useState } from 'react'
|
||||
import { useContext } from 'use-context-selector'
|
||||
import { useTranslation } from 'react-i18next'
|
||||
import { RiListUnordered } from '@remixicon/react'
|
||||
import TemplateEn from './template/template.en.mdx'
|
||||
import TemplateZh from './template/template.zh.mdx'
|
||||
import I18n from '@/context/i18n'
|
||||
@@ -10,25 +12,106 @@ import { LanguagesSupported } from '@/i18n/language'
|
||||
type DocProps = {
|
||||
apiBaseUrl: string
|
||||
}
|
||||
const Doc: FC<DocProps> = ({
|
||||
apiBaseUrl,
|
||||
}) => {
|
||||
const { locale } = useContext(I18n)
|
||||
|
||||
const Doc = ({ apiBaseUrl }: DocProps) => {
|
||||
const { locale } = useContext(I18n)
|
||||
const { t } = useTranslation()
|
||||
const [toc, setToc] = useState<Array<{ href: string; text: string }>>([])
|
||||
const [isTocExpanded, setIsTocExpanded] = useState(false)
|
||||
|
||||
// Set initial TOC expanded state based on screen width
|
||||
useEffect(() => {
|
||||
const hash = location.hash
|
||||
if (hash)
|
||||
document.querySelector(hash)?.scrollIntoView()
|
||||
const mediaQuery = window.matchMedia('(min-width: 1280px)')
|
||||
setIsTocExpanded(mediaQuery.matches)
|
||||
}, [])
|
||||
|
||||
// Extract TOC from article content
|
||||
useEffect(() => {
|
||||
const extractTOC = () => {
|
||||
const article = document.querySelector('article')
|
||||
if (article) {
|
||||
const headings = article.querySelectorAll('h2')
|
||||
const tocItems = Array.from(headings).map((heading) => {
|
||||
const anchor = heading.querySelector('a')
|
||||
if (anchor) {
|
||||
return {
|
||||
href: anchor.getAttribute('href') || '',
|
||||
text: anchor.textContent || '',
|
||||
}
|
||||
}
|
||||
return null
|
||||
}).filter((item): item is { href: string; text: string } => item !== null)
|
||||
setToc(tocItems)
|
||||
}
|
||||
}
|
||||
|
||||
setTimeout(extractTOC, 0)
|
||||
}, [locale])
|
||||
|
||||
// Handle TOC item click
|
||||
const handleTocClick = (e: React.MouseEvent<HTMLAnchorElement>, item: { href: string; text: string }) => {
|
||||
e.preventDefault()
|
||||
const targetId = item.href.replace('#', '')
|
||||
const element = document.getElementById(targetId)
|
||||
if (element) {
|
||||
const scrollContainer = document.querySelector('.scroll-container')
|
||||
if (scrollContainer) {
|
||||
const headerOffset = -40
|
||||
const elementTop = element.offsetTop - headerOffset
|
||||
scrollContainer.scrollTo({
|
||||
top: elementTop,
|
||||
behavior: 'smooth',
|
||||
})
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
return (
|
||||
<article className='mx-1 px-4 sm:mx-12 pt-16 bg-white rounded-t-xl prose prose-xl'>
|
||||
{
|
||||
locale !== LanguagesSupported[1]
|
||||
<div className="flex">
|
||||
<div className={`fixed right-16 top-32 z-10 transition-all ${isTocExpanded ? 'w-64' : 'w-10'}`}>
|
||||
{isTocExpanded
|
||||
? (
|
||||
<nav className="toc w-full bg-gray-50 p-4 rounded-lg shadow-md max-h-[calc(100vh-150px)] overflow-y-auto">
|
||||
<div className="flex justify-between items-center mb-4">
|
||||
<h3 className="text-lg font-semibold">{t('appApi.develop.toc')}</h3>
|
||||
<button
|
||||
onClick={() => setIsTocExpanded(false)}
|
||||
className="text-gray-500 hover:text-gray-700"
|
||||
>
|
||||
✕
|
||||
</button>
|
||||
</div>
|
||||
<ul className="space-y-2">
|
||||
{toc.map((item, index) => (
|
||||
<li key={index}>
|
||||
<a
|
||||
href={item.href}
|
||||
className="text-gray-600 hover:text-gray-900 hover:underline transition-colors duration-200"
|
||||
onClick={e => handleTocClick(e, item)}
|
||||
>
|
||||
{item.text}
|
||||
</a>
|
||||
</li>
|
||||
))}
|
||||
</ul>
|
||||
</nav>
|
||||
)
|
||||
: (
|
||||
<button
|
||||
onClick={() => setIsTocExpanded(true)}
|
||||
className="w-10 h-10 bg-gray-50 rounded-full shadow-md flex items-center justify-center hover:bg-gray-100 transition-colors duration-200"
|
||||
>
|
||||
<RiListUnordered className="w-6 h-6" />
|
||||
</button>
|
||||
)}
|
||||
</div>
|
||||
<article className='mx-1 px-4 sm:mx-12 pt-16 bg-white rounded-t-xl prose prose-xl'>
|
||||
{locale !== LanguagesSupported[1]
|
||||
? <TemplateEn apiBaseUrl={apiBaseUrl} />
|
||||
: <TemplateZh apiBaseUrl={apiBaseUrl} />
|
||||
}
|
||||
</article>
|
||||
}
|
||||
</article>
|
||||
</div>
|
||||
)
|
||||
}
|
||||
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
import { CodeGroup } from '@/app/components/develop/code.tsx'
|
||||
import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from '@/app/components/develop/md.tsx'
|
||||
import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstruction, Paragraph } from '@/app/components/develop/md.tsx'
|
||||
|
||||
# Knowledge API
|
||||
|
||||
@@ -80,6 +80,27 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from
|
||||
- <code>max_tokens</code> The maximum length (tokens) must be validated to be shorter than the length of the parent chunk
|
||||
- <code>chunk_overlap</code> Define the overlap between adjacent chunks (optional)
|
||||
</Property>
|
||||
<PropertyInstruction>When no parameters are set for the knowledge base, the first upload requires the following parameters to be provided; if not provided, the default parameters will be used.</PropertyInstruction>
|
||||
<Property name='retrieval_model' type='object' key='retrieval_model'>
|
||||
Retrieval model
|
||||
- <code>search_method</code> (string) Search method
|
||||
- <code>hybrid_search</code> Hybrid search
|
||||
- <code>semantic_search</code> Semantic search
|
||||
- <code>full_text_search</code> Full-text search
|
||||
- <code>reranking_enable</code> (bool) Whether to enable reranking
|
||||
- <code>reranking_mode</code> (object) Rerank model configuration
|
||||
- <code>reranking_provider_name</code> (string) Rerank model provider
|
||||
- <code>reranking_model_name</code> (string) Rerank model name
|
||||
- <code>top_k</code> (int) Number of results to return
|
||||
- <code>score_threshold_enabled</code> (bool) Whether to enable score threshold
|
||||
- <code>score_threshold</code> (float) Score threshold
|
||||
</Property>
|
||||
<Property name='embedding_model' type='string' key='embedding_model'>
|
||||
Embedding model name
|
||||
</Property>
|
||||
<Property name='embedding_model_provider' type='string' key='embedding_model_provider'>
|
||||
Embedding model provider
|
||||
</Property>
|
||||
</Properties>
|
||||
</Col>
|
||||
<Col sticky>
|
||||
@@ -197,6 +218,27 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from
|
||||
<Property name='file' type='multipart/form-data' key='file'>
|
||||
Files that need to be uploaded.
|
||||
</Property>
|
||||
<PropertyInstruction>When no parameters are set for the knowledge base, the first upload requires the following parameters to be provided; if not provided, the default parameters will be used.</PropertyInstruction>
|
||||
<Property name='retrieval_model' type='object' key='retrieval_model'>
|
||||
Retrieval model
|
||||
- <code>search_method</code> (string) Search method
|
||||
- <code>hybrid_search</code> Hybrid search
|
||||
- <code>semantic_search</code> Semantic search
|
||||
- <code>full_text_search</code> Full-text search
|
||||
- <code>reranking_enable</code> (bool) Whether to enable reranking
|
||||
- <code>reranking_mode</code> (object) Rerank model configuration
|
||||
- <code>reranking_provider_name</code> (string) Rerank model provider
|
||||
- <code>reranking_model_name</code> (string) Rerank model name
|
||||
- <code>top_k</code> (int) Number of results to return
|
||||
- <code>score_threshold_enabled</code> (bool) Whether to enable score threshold
|
||||
- <code>score_threshold</code> (float) Score threshold
|
||||
</Property>
|
||||
<Property name='embedding_model' type='string' key='embedding_model'>
|
||||
Embedding model name
|
||||
</Property>
|
||||
<Property name='embedding_model_provider' type='string' key='embedding_model_provider'>
|
||||
Embedding model provider
|
||||
</Property>
|
||||
</Properties>
|
||||
</Col>
|
||||
<Col sticky>
|
||||
@@ -1106,6 +1148,57 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from
|
||||
|
||||
<hr className='ml-0 mr-0' />
|
||||
|
||||
<Heading
|
||||
url='/datasets/{dataset_id}/documents/{document_id}/upload-file'
|
||||
method='GET'
|
||||
title='Get Upload File'
|
||||
name='#get_upload_file'
|
||||
/>
|
||||
<Row>
|
||||
<Col>
|
||||
### Path
|
||||
<Properties>
|
||||
<Property name='dataset_id' type='string' key='dataset_id'>
|
||||
Knowledge ID
|
||||
</Property>
|
||||
<Property name='document_id' type='string' key='document_id'>
|
||||
Document ID
|
||||
</Property>
|
||||
</Properties>
|
||||
</Col>
|
||||
<Col sticky>
|
||||
<CodeGroup
|
||||
title="Request"
|
||||
tag="GET"
|
||||
label="/datasets/{dataset_id}/documents/{document_id}/upload-file"
|
||||
targetCode={`curl --location --request GET '${props.apiBaseUrl}/datasets/{dataset_id}/documents/{document_id}/upload-file' \\\n--header 'Authorization: Bearer {api_key}' \\\n--header 'Content-Type: application/json'`}
|
||||
>
|
||||
```bash {{ title: 'cURL' }}
|
||||
curl --location --request GET '${props.apiBaseUrl}/datasets/{dataset_id}/documents/{document_id}/upload-file' \
|
||||
--header 'Authorization: Bearer {api_key}' \
|
||||
--header 'Content-Type: application/json'
|
||||
```
|
||||
</CodeGroup>
|
||||
<CodeGroup title="Response">
|
||||
```json {{ title: 'Response' }}
|
||||
{
|
||||
"id": "file_id",
|
||||
"name": "file_name",
|
||||
"size": 1024,
|
||||
"extension": "txt",
|
||||
"url": "preview_url",
|
||||
"download_url": "download_url",
|
||||
"mime_type": "text/plain",
|
||||
"created_by": "user_id",
|
||||
"created_at": 1728734540,
|
||||
}
|
||||
```
|
||||
</CodeGroup>
|
||||
</Col>
|
||||
</Row>
|
||||
|
||||
<hr className='ml-0 mr-0' />
|
||||
|
||||
<Heading
|
||||
url='/datasets/{dataset_id}/retrieve'
|
||||
method='POST'
|
||||
@@ -1137,10 +1230,10 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from
|
||||
- <code>reranking_mode</code> (object) Rerank model configuration, required if reranking is enabled
|
||||
- <code>reranking_provider_name</code> (string) Rerank model provider
|
||||
- <code>reranking_model_name</code> (string) Rerank model name
|
||||
- <code>weights</code> (double) Semantic search weight setting in hybrid search mode
|
||||
- <code>weights</code> (float) Semantic search weight setting in hybrid search mode
|
||||
- <code>top_k</code> (integer) Number of results to return (optional)
|
||||
- <code>score_threshold_enabled</code> (bool) Whether to enable score threshold
|
||||
- <code>score_threshold</code> (double) Score threshold
|
||||
- <code>score_threshold</code> (float) Score threshold
|
||||
</Property>
|
||||
<Property name='external_retrieval_model' type='object' key='external_retrieval_model'>
|
||||
Unused field
|
||||
|
||||
@@ -1,5 +1,5 @@
|
||||
import { CodeGroup } from '@/app/components/develop/code.tsx'
|
||||
import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from '@/app/components/develop/md.tsx'
|
||||
import { Row, Col, Properties, Property, Heading, SubProperty, PropertyInstruction, Paragraph } from '@/app/components/develop/md.tsx'
|
||||
|
||||
# 知识库 API
|
||||
|
||||
@@ -80,6 +80,27 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from
|
||||
- <code>max_tokens</code> 最大长度 (token) 需要校验小于父级的长度
|
||||
- <code>chunk_overlap</code> 分段重叠指的是在对数据进行分段时,段与段之间存在一定的重叠部分(选填)
|
||||
</Property>
|
||||
<PropertyInstruction>当知识库未设置任何参数的时候,首次上传需要提供以下参数,未提供则使用默认选项:</PropertyInstruction>
|
||||
<Property name='retrieval_model' type='object' key='retrieval_model'>
|
||||
检索模式
|
||||
- <code>search_method</code> (string) 检索方法
|
||||
- <code>hybrid_search</code> 混合检索
|
||||
- <code>semantic_search</code> 语义检索
|
||||
- <code>full_text_search</code> 全文检索
|
||||
- <code>reranking_enable</code> (bool) 是否开启rerank
|
||||
- <code>reranking_model</code> (object) Rerank 模型配置
|
||||
- <code>reranking_provider_name</code> (string) Rerank 模型的提供商
|
||||
- <code>reranking_model_name</code> (string) Rerank 模型的名称
|
||||
- <code>top_k</code> (int) 召回条数
|
||||
- <code>score_threshold_enabled</code> (bool)是否开启召回分数限制
|
||||
- <code>score_threshold</code> (float) 召回分数限制
|
||||
</Property>
|
||||
<Property name='embedding_model' type='string' key='embedding_model'>
|
||||
Embedding 模型名称
|
||||
</Property>
|
||||
<Property name='embedding_model_provider' type='string' key='embedding_model_provider'>
|
||||
Embedding 模型供应商
|
||||
</Property>
|
||||
</Properties>
|
||||
</Col>
|
||||
<Col sticky>
|
||||
@@ -197,6 +218,27 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from
|
||||
<Property name='file' type='multipart/form-data' key='file'>
|
||||
需要上传的文件。
|
||||
</Property>
|
||||
<PropertyInstruction>当知识库未设置任何参数的时候,首次上传需要提供以下参数,未提供则使用默认选项:</PropertyInstruction>
|
||||
<Property name='retrieval_model' type='object' key='retrieval_model'>
|
||||
检索模式
|
||||
- <code>search_method</code> (string) 检索方法
|
||||
- <code>hybrid_search</code> 混合检索
|
||||
- <code>semantic_search</code> 语义检索
|
||||
- <code>full_text_search</code> 全文检索
|
||||
- <code>reranking_enable</code> (bool) 是否开启rerank
|
||||
- <code>reranking_model</code> (object) Rerank 模型配置
|
||||
- <code>reranking_provider_name</code> (string) Rerank 模型的提供商
|
||||
- <code>reranking_model_name</code> (string) Rerank 模型的名称
|
||||
- <code>top_k</code> (int) 召回条数
|
||||
- <code>score_threshold_enabled</code> (bool)是否开启召回分数限制
|
||||
- <code>score_threshold</code> (float) 召回分数限制
|
||||
</Property>
|
||||
<Property name='embedding_model' type='string' key='embedding_model'>
|
||||
Embedding 模型名称
|
||||
</Property>
|
||||
<Property name='embedding_model_provider' type='string' key='embedding_model_provider'>
|
||||
Embedding 模型供应商
|
||||
</Property>
|
||||
</Properties>
|
||||
</Col>
|
||||
<Col sticky>
|
||||
@@ -1107,6 +1149,57 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from
|
||||
|
||||
<hr className='ml-0 mr-0' />
|
||||
|
||||
<Heading
|
||||
url='/datasets/{dataset_id}/documents/{document_id}/upload-file'
|
||||
method='GET'
|
||||
title='获取上传文件'
|
||||
name='#get_upload_file'
|
||||
/>
|
||||
<Row>
|
||||
<Col>
|
||||
### Path
|
||||
<Properties>
|
||||
<Property name='dataset_id' type='string' key='dataset_id'>
|
||||
知识库 ID
|
||||
</Property>
|
||||
<Property name='document_id' type='string' key='document_id'>
|
||||
文档 ID
|
||||
</Property>
|
||||
</Properties>
|
||||
</Col>
|
||||
<Col sticky>
|
||||
<CodeGroup
|
||||
title="Request"
|
||||
tag="GET"
|
||||
label="/datasets/{dataset_id}/documents/{document_id}/upload-file"
|
||||
targetCode={`curl --location --request GET '${props.apiBaseUrl}/datasets/{dataset_id}/documents/{document_id}/upload-file' \\\n--header 'Authorization: Bearer {api_key}' \\\n--header 'Content-Type: application/json'`}
|
||||
>
|
||||
```bash {{ title: 'cURL' }}
|
||||
curl --location --request GET '${props.apiBaseUrl}/datasets/{dataset_id}/documents/{document_id}/upload-file' \
|
||||
--header 'Authorization: Bearer {api_key}' \
|
||||
--header 'Content-Type: application/json'
|
||||
```
|
||||
</CodeGroup>
|
||||
<CodeGroup title="Response">
|
||||
```json {{ title: 'Response' }}
|
||||
{
|
||||
"id": "file_id",
|
||||
"name": "file_name",
|
||||
"size": 1024,
|
||||
"extension": "txt",
|
||||
"url": "preview_url",
|
||||
"download_url": "download_url",
|
||||
"mime_type": "text/plain",
|
||||
"created_by": "user_id",
|
||||
"created_at": 1728734540,
|
||||
}
|
||||
```
|
||||
</CodeGroup>
|
||||
</Col>
|
||||
</Row>
|
||||
|
||||
<hr className='ml-0 mr-0' />
|
||||
|
||||
<Heading
|
||||
url='/datasets/{dataset_id}/retrieve'
|
||||
method='POST'
|
||||
@@ -1135,13 +1228,13 @@ import { Row, Col, Properties, Property, Heading, SubProperty, Paragraph } from
|
||||
- <code>full_text_search</code> 全文检索
|
||||
- <code>hybrid_search</code> 混合检索
|
||||
- <code>reranking_enable</code> (bool) 是否启用 Reranking,非必填,如果检索模式为 semantic_search 模式或者 hybrid_search 则传值
|
||||
- <code>reranking_mode</code> (object) Rerank模型配置,非必填,如果启用了 reranking 则传值
|
||||
- <code>reranking_mode</code> (object) Rerank 模型配置,非必填,如果启用了 reranking 则传值
|
||||
- <code>reranking_provider_name</code> (string) Rerank 模型提供商
|
||||
- <code>reranking_model_name</code> (string) Rerank 模型名称
|
||||
- <code>weights</code> (double) 混合检索模式下语意检索的权重设置
|
||||
- <code>weights</code> (float) 混合检索模式下语意检索的权重设置
|
||||
- <code>top_k</code> (integer) 返回结果数量,非必填
|
||||
- <code>score_threshold_enabled</code> (bool) 是否开启 score 阈值
|
||||
- <code>score_threshold</code> (double) Score 阈值
|
||||
- <code>score_threshold</code> (float) Score 阈值
|
||||
</Property>
|
||||
<Property name='external_retrieval_model' type='object' key='external_retrieval_model'>
|
||||
未启用字段
|
||||
|
||||
@@ -6,6 +6,7 @@ import type { EChartsOption } from 'echarts'
|
||||
import useSWR from 'swr'
|
||||
import dayjs from 'dayjs'
|
||||
import { get } from 'lodash-es'
|
||||
import Decimal from 'decimal.js'
|
||||
import { useTranslation } from 'react-i18next'
|
||||
import { formatNumber } from '@/utils/format'
|
||||
import Basic from '@/app/components/app-sidebar/basic'
|
||||
@@ -60,10 +61,8 @@ const CHART_TYPE_CONFIG: Record<string, IChartConfigType> = {
|
||||
},
|
||||
}
|
||||
|
||||
const sum = (arr: number[]): number => {
|
||||
return arr.reduce((acr, cur) => {
|
||||
return acr + cur
|
||||
})
|
||||
const sum = (arr: Decimal.Value[]): number => {
|
||||
return Decimal.sum(...arr).toNumber()
|
||||
}
|
||||
|
||||
const defaultPeriod = {
|
||||
|
||||
@@ -306,8 +306,14 @@ const GenerationItem: FC<IGenerationItemProps> = ({
|
||||
}
|
||||
<div className={`flex ${contentClassName}`}>
|
||||
<div className='grow w-0'>
|
||||
{siteInfo && siteInfo.show_workflow_steps && workflowProcessData && (
|
||||
<WorkflowProcessItem data={workflowProcessData} expand={workflowProcessData.expand} hideProcessDetail={hideProcessDetail} />
|
||||
{siteInfo && workflowProcessData && (
|
||||
<WorkflowProcessItem
|
||||
data={workflowProcessData}
|
||||
expand={workflowProcessData.expand}
|
||||
hideProcessDetail={hideProcessDetail}
|
||||
hideInfo={hideProcessDetail}
|
||||
readonly={!siteInfo.show_workflow_steps}
|
||||
/>
|
||||
)}
|
||||
{workflowProcessData && !isError && (
|
||||
<ResultTab data={workflowProcessData} content={content} currentTab={currentTab} onCurrentTabChange={setCurrentTab} />
|
||||
|
||||
@@ -13,7 +13,7 @@ import AgentContent from './agent-content'
|
||||
import BasicContent from './basic-content'
|
||||
import SuggestedQuestions from './suggested-questions'
|
||||
import More from './more'
|
||||
import WorkflowProcess from './workflow-process'
|
||||
import WorkflowProcessItem from './workflow-process'
|
||||
import LoadingAnim from '@/app/components/base/chat/chat/loading-anim'
|
||||
import Citation from '@/app/components/base/chat/chat/citation'
|
||||
import { EditTitle } from '@/app/components/app/annotation/edit-annotation-modal/edit-item'
|
||||
@@ -133,7 +133,7 @@ const Answer: FC<AnswerProps> = ({
|
||||
{/** Render the normal steps */}
|
||||
{
|
||||
workflowProcess && !hideProcessDetail && (
|
||||
<WorkflowProcess
|
||||
<WorkflowProcessItem
|
||||
data={workflowProcess}
|
||||
item={item}
|
||||
hideProcessDetail={hideProcessDetail}
|
||||
@@ -142,11 +142,12 @@ const Answer: FC<AnswerProps> = ({
|
||||
}
|
||||
{/** Hide workflow steps by it's settings in siteInfo */}
|
||||
{
|
||||
workflowProcess && hideProcessDetail && appData && appData.site.show_workflow_steps && (
|
||||
<WorkflowProcess
|
||||
workflowProcess && hideProcessDetail && appData && (
|
||||
<WorkflowProcessItem
|
||||
data={workflowProcess}
|
||||
item={item}
|
||||
hideProcessDetail={hideProcessDetail}
|
||||
readonly={!appData.site.show_workflow_steps}
|
||||
/>
|
||||
)
|
||||
}
|
||||
|
||||
@@ -23,6 +23,7 @@ type WorkflowProcessProps = {
|
||||
expand?: boolean
|
||||
hideInfo?: boolean
|
||||
hideProcessDetail?: boolean
|
||||
readonly?: boolean
|
||||
}
|
||||
const WorkflowProcessItem = ({
|
||||
data,
|
||||
@@ -30,6 +31,7 @@ const WorkflowProcessItem = ({
|
||||
expand = false,
|
||||
hideInfo = false,
|
||||
hideProcessDetail = false,
|
||||
readonly = false,
|
||||
}: WorkflowProcessProps) => {
|
||||
const { t } = useTranslation()
|
||||
const [collapse, setCollapse] = useState(!expand)
|
||||
@@ -81,8 +83,8 @@ const WorkflowProcessItem = ({
|
||||
}}
|
||||
>
|
||||
<div
|
||||
className={cn('flex items-center cursor-pointer', !collapse && 'px-1.5')}
|
||||
onClick={() => setCollapse(!collapse)}
|
||||
className={cn('flex items-center cursor-pointer', !collapse && 'px-1.5', readonly && 'cursor-default')}
|
||||
onClick={() => !readonly && setCollapse(!collapse)}
|
||||
>
|
||||
{
|
||||
running && (
|
||||
@@ -102,10 +104,10 @@ const WorkflowProcessItem = ({
|
||||
<div className={cn('system-xs-medium text-text-secondary', !collapse && 'grow')}>
|
||||
{t('workflow.common.workflowProcess')}
|
||||
</div>
|
||||
<RiArrowRightSLine className={`'ml-1 w-4 h-4 text-text-tertiary' ${collapse ? '' : 'rotate-90'}`} />
|
||||
{!readonly && <RiArrowRightSLine className={`'ml-1 w-4 h-4 text-text-tertiary' ${collapse ? '' : 'rotate-90'}`} />}
|
||||
</div>
|
||||
{
|
||||
!collapse && (
|
||||
!collapse && !readonly && (
|
||||
<div className='mt-1.5'>
|
||||
{
|
||||
<TracingPanel
|
||||
|
||||
@@ -0,0 +1,87 @@
|
||||
<?xml version="1.0" encoding="UTF-8" standalone="no"?>
|
||||
<svg
|
||||
width="70.700851"
|
||||
height="24"
|
||||
viewBox="0 0 70.700851 24"
|
||||
fill="none"
|
||||
version="1.1"
|
||||
id="svg6"
|
||||
sodipodi:docname="opik-icon-big.svg"
|
||||
inkscape:version="1.3.2 (091e20ef0f, 2023-11-25)"
|
||||
xmlns:inkscape="http://www.inkscape.org/namespaces/inkscape"
|
||||
xmlns:sodipodi="http://sodipodi.sourceforge.net/DTD/sodipodi-0.dtd"
|
||||
xmlns="http://www.w3.org/2000/svg"
|
||||
xmlns:svg="http://www.w3.org/2000/svg">
|
||||
<sodipodi:namedview
|
||||
id="namedview6"
|
||||
pagecolor="#ffffff"
|
||||
bordercolor="#666666"
|
||||
borderopacity="1.0"
|
||||
inkscape:showpageshadow="2"
|
||||
inkscape:pageopacity="0.0"
|
||||
inkscape:pagecheckerboard="0"
|
||||
inkscape:deskcolor="#d1d1d1"
|
||||
inkscape:zoom="18.615088"
|
||||
inkscape:cx="36.314629"
|
||||
inkscape:cy="18.989972"
|
||||
inkscape:window-width="2560"
|
||||
inkscape:window-height="1371"
|
||||
inkscape:window-x="0"
|
||||
inkscape:window-y="0"
|
||||
inkscape:window-maximized="1"
|
||||
inkscape:current-layer="svg6" />
|
||||
<rect
|
||||
width="70.700851"
|
||||
height="24"
|
||||
fill="#ffffff"
|
||||
id="rect1"
|
||||
x="0"
|
||||
y="0"
|
||||
style="stroke-width:0.0683761;fill:none" />
|
||||
<path
|
||||
fill-rule="evenodd"
|
||||
clip-rule="evenodd"
|
||||
d="M 14.463316,5.8949744 C 11.191179,4.456547 7.3065299,5.9932444 5.8118769,9.3932308 4.3172308,12.793231 5.8113846,16.694496 9.0834872,18.132923 c 1.3197948,0.580171 2.7316238,0.676855 4.0492308,0.364923 0.567179,-0.13429 1.135863,0.216684 1.270085,0.783863 0.134291,0.56718 -0.216615,1.135864 -0.783863,1.270154 C 11.873983,20.964923 9.9916581,20.83788 8.2340513,20.065231 3.8540444,18.139761 1.9338872,12.969778 3.8795692,8.5437949 5.8252581,4.1177778 10.932786,2.0372103 15.312752,3.9626667 c 2.672342,1.1747624 4.432069,3.564376 4.952137,6.2470423 0.110974,0.57224 -0.262974,1.126017 -0.835214,1.236992 -0.572171,0.110906 -1.126017,-0.263043 -1.236923,-0.835282 C 17.796308,8.5668376 16.46359,6.7742906 14.463316,5.8949744 Z M 18.01388,17.557812 c 0.20424,0.856752 -0.324786,1.716786 -1.181538,1.921026 -0.856752,0.204171 -1.716855,-0.324787 -1.921026,-1.181539 -0.204239,-0.856752 0.324787,-1.716855 1.181539,-1.921025 0.856752,-0.20424 1.716854,0.324786 1.921025,1.181538 z m 1.329368,-1.216547 c 1.144615,-0.272821 1.85135,-1.42188 1.57853,-2.566427 -0.272821,-1.144616 -1.421881,-1.851351 -2.566428,-1.57853 -1.144615,0.27282 -1.85135,1.421812 -1.578529,2.566427 0.27282,1.144615 1.42188,1.85135 2.566427,1.57853 z"
|
||||
fill="url(#paint0_linear_3874_31725)"
|
||||
id="path1"
|
||||
style="fill:url(#paint0_linear_3874_31725);stroke-width:0.0683761" />
|
||||
<path
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{
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"type": "element",
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"x2": "88.645203",
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"gradientTransform": "scale(0.04556973,0.04553331)"
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},
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"children": [
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{
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"type": "element",
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"name": "stop",
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"attributes": {
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"stop-color": "#FB9341",
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"id": "stop5"
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{
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"type": "element",
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"name": "stop",
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]
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},
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"name": "OpikIcon"
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}
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@@ -0,0 +1,16 @@
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// GENERATE BY script
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// DON NOT EDIT IT MANUALLY
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import * as React from 'react'
|
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import data from './OpikIcon.json'
|
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import IconBase from '@/app/components/base/icons/IconBase'
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import type { IconBaseProps, IconData } from '@/app/components/base/icons/IconBase'
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const Icon = React.forwardRef<React.MutableRefObject<SVGElement>, Omit<IconBaseProps, 'data'>>((
|
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props,
|
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ref,
|
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) => <IconBase {...props} ref={ref} data={data as IconData} />)
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||||
|
||||
Icon.displayName = 'OpikIcon'
|
||||
|
||||
export default Icon
|
||||
@@ -0,0 +1,162 @@
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"height": "24",
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"viewBox": "0 0 70.700851 24",
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"fill": "none",
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"id": "svg6",
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"xmlns": "http://www.w3.org/2000/svg",
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"xmlns:svg": "http://www.w3.org/2000/svg"
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},
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"children": [
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"type": "element",
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"name": "sodipodi:namedview",
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"attributes": {
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"id": "namedview6",
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"fill": "url(#paint0_linear_3874_31725)",
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"id": "path1",
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"style": "fill:url(#paint0_linear_3874_31725);stroke-width:0.0683761"
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{
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"type": "element",
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"name": "path",
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"attributes": {
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"fill": "#3a3a3a",
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"id": "path2",
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"style": "stroke-width:0.0683761"
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||||
},
|
||||
"children": []
|
||||
},
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{
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"type": "element",
|
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"name": "path",
|
||||
"attributes": {
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"fill": "#3a3a3a",
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"id": "path3",
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"style": "stroke-width:0.0683761"
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},
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"children": []
|
||||
},
|
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{
|
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"type": "element",
|
||||
"name": "path",
|
||||
"attributes": {
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"d": "m 53.779282,17.66694 c -0.634188,0 -1.148308,-0.514119 -1.148308,-1.148308 V 8.2381538 c 0,-0.634188 0.51412,-1.1482393 1.148308,-1.1482393 h 0.179282 c 0.634188,0 1.148308,0.5140513 1.148308,1.1482393 v 8.2804782 c 0,0.634189 -0.51412,1.148308 -1.148308,1.148308 z m 0.09956,-12.3200819 c -0.462154,0 -0.845129,-0.1452513 -1.148855,-0.4357607 -0.290462,-0.2905025 -0.435692,-0.6404307 -0.435692,-1.0497777 0,-0.4225505 0.14523,-0.7724787 0.435692,-1.0497778 0.303726,-0.2905026 0.686701,-0.4357607 1.148855,-0.4357607 0.462153,0 0.838495,0.138653 1.129025,0.4159521 0.303658,0.2640958 0.455522,0.6008205 0.455522,1.0101676 0,0.4357538 -0.145231,0.8054906 -0.435761,1.1091965 -0.290462,0.2905094 -0.673436,0.4357607 -1.148786,0.4357607 z",
|
||||
"fill": "#3a3a3a",
|
||||
"id": "path4",
|
||||
"style": "stroke-width:0.0683761"
|
||||
},
|
||||
"children": []
|
||||
},
|
||||
{
|
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"type": "element",
|
||||
"name": "path",
|
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"attributes": {
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"d": "m 60.376821,15.30988 0.05942,-3.109743 5.22106,-4.8280344 c 0.196169,-0.1814701 0.453537,-0.2821881 0.72075,-0.2821881 v 0 c 0.944752,0 1.41894,1.141265 0.752274,1.8107351 l -2.891077,2.9033164 -1.307282,1.089436 z m -0.872069,2.35706 c -0.634188,0 -1.148239,-0.514119 -1.148239,-1.148308 V 4.1182838 c 0,-0.6341812 0.514051,-1.1482872 1.148239,-1.1482872 h 0.179351 c 0.634188,0 1.148307,0.514106 1.148307,1.1482872 V 16.518632 c 0,0.634189 -0.514119,1.148308 -1.148307,1.148308 z m 7.382017,0 c -0.346598,0 -0.674666,-0.156581 -0.892718,-0.426051 l -3.517675,-4.347487 1.564786,-1.980718 3.848206,4.89641 c 0.592,0.753368 0.05538,1.857846 -0.902838,1.857846 z",
|
||||
"fill": "#3a3a3a",
|
||||
"id": "path5",
|
||||
"style": "stroke-width:0.0683761"
|
||||
},
|
||||
"children": []
|
||||
},
|
||||
{
|
||||
"type": "element",
|
||||
"name": "defs",
|
||||
"attributes": {
|
||||
"id": "defs6"
|
||||
},
|
||||
"children": [
|
||||
{
|
||||
"type": "element",
|
||||
"name": "linearGradient",
|
||||
"attributes": {
|
||||
"id": "paint0_linear_3874_31725",
|
||||
"x1": "258.13101",
|
||||
"y1": "269.78299",
|
||||
"x2": "88.645203",
|
||||
"y2": "75.4571",
|
||||
"gradientUnits": "userSpaceOnUse",
|
||||
"gradientTransform": "scale(0.06837607)"
|
||||
},
|
||||
"children": [
|
||||
{
|
||||
"type": "element",
|
||||
"name": "stop",
|
||||
"attributes": {
|
||||
"stop-color": "#FB9341",
|
||||
"id": "stop5"
|
||||
},
|
||||
"children": []
|
||||
},
|
||||
{
|
||||
"type": "element",
|
||||
"name": "stop",
|
||||
"attributes": {
|
||||
"offset": "1",
|
||||
"stop-color": "#E30D3E",
|
||||
"id": "stop6"
|
||||
},
|
||||
"children": []
|
||||
}
|
||||
]
|
||||
}
|
||||
]
|
||||
}
|
||||
]
|
||||
},
|
||||
"name": "OpikIconBig"
|
||||
}
|
||||
@@ -0,0 +1,16 @@
|
||||
// GENERATE BY script
|
||||
// DON NOT EDIT IT MANUALLY
|
||||
|
||||
import * as React from 'react'
|
||||
import data from './OpikIconBig.json'
|
||||
import IconBase from '@/app/components/base/icons/IconBase'
|
||||
import type { IconBaseProps, IconData } from '@/app/components/base/icons/IconBase'
|
||||
|
||||
const Icon = React.forwardRef<React.MutableRefObject<SVGElement>, Omit<IconBaseProps, 'data'>>((
|
||||
props,
|
||||
ref,
|
||||
) => <IconBase {...props} ref={ref} data={data as IconData} />)
|
||||
|
||||
Icon.displayName = 'OpikIconBig'
|
||||
|
||||
export default Icon
|
||||
@@ -2,4 +2,6 @@ export { default as LangfuseIconBig } from './LangfuseIconBig'
|
||||
export { default as LangfuseIcon } from './LangfuseIcon'
|
||||
export { default as LangsmithIconBig } from './LangsmithIconBig'
|
||||
export { default as LangsmithIcon } from './LangsmithIcon'
|
||||
export { default as OpikIconBig } from './OpikIconBig'
|
||||
export { default as OpikIcon } from './OpikIcon'
|
||||
export { default as TracingIcon } from './TracingIcon'
|
||||
|
||||
@@ -575,6 +575,8 @@ const StepTwo = ({
|
||||
const economyDomRef = useRef<HTMLDivElement>(null)
|
||||
const isHoveringEconomy = useHover(economyDomRef)
|
||||
|
||||
const isModelAndRetrievalConfigDisabled = !!datasetId && !!currentDataset?.data_source_type
|
||||
|
||||
return (
|
||||
<div className='flex w-full h-full'>
|
||||
<div className={cn('relative h-full w-1/2 py-6 overflow-y-auto', isMobile ? 'px-4' : 'px-12')}>
|
||||
@@ -931,15 +933,15 @@ const StepTwo = ({
|
||||
<div className='mt-5'>
|
||||
<div className={cn('system-md-semibold mb-1', datasetId && 'flex justify-between items-center')}>{t('datasetSettings.form.embeddingModel')}</div>
|
||||
<ModelSelector
|
||||
readonly={!!datasetId}
|
||||
triggerClassName={datasetId ? 'opacity-50' : ''}
|
||||
readonly={isModelAndRetrievalConfigDisabled}
|
||||
triggerClassName={isModelAndRetrievalConfigDisabled ? 'opacity-50' : ''}
|
||||
defaultModel={embeddingModel}
|
||||
modelList={embeddingModelList}
|
||||
onSelect={(model: DefaultModel) => {
|
||||
setEmbeddingModel(model)
|
||||
}}
|
||||
/>
|
||||
{!!datasetId && (
|
||||
{isModelAndRetrievalConfigDisabled && (
|
||||
<div className='mt-2 system-xs-medium'>
|
||||
{t('datasetCreation.stepTwo.indexSettingTip')}
|
||||
<Link className='text-text-accent' href={`/datasets/${datasetId}/settings`}>{t('datasetCreation.stepTwo.datasetSettingLink')}</Link>
|
||||
@@ -950,7 +952,7 @@ const StepTwo = ({
|
||||
<Divider className='my-5' />
|
||||
{/* Retrieval Method Config */}
|
||||
<div>
|
||||
{!datasetId
|
||||
{!isModelAndRetrievalConfigDisabled
|
||||
? (
|
||||
<div className={'mb-1'}>
|
||||
<div className='system-md-semibold mb-0.5'>{t('datasetSettings.form.retrievalSetting.title')}</div>
|
||||
@@ -971,14 +973,14 @@ const StepTwo = ({
|
||||
getIndexing_technique() === IndexingType.QUALIFIED
|
||||
? (
|
||||
<RetrievalMethodConfig
|
||||
disabled={!!datasetId}
|
||||
disabled={isModelAndRetrievalConfigDisabled}
|
||||
value={retrievalConfig}
|
||||
onChange={setRetrievalConfig}
|
||||
/>
|
||||
)
|
||||
: (
|
||||
<EconomicalRetrievalMethodConfig
|
||||
disabled={!!datasetId}
|
||||
disabled={isModelAndRetrievalConfigDisabled}
|
||||
value={retrievalConfig}
|
||||
onChange={setRetrievalConfig}
|
||||
/>
|
||||
|
||||
@@ -223,7 +223,7 @@ const Form = () => {
|
||||
<IndexMethodRadio
|
||||
disable={!currentDataset?.embedding_available}
|
||||
value={indexMethod}
|
||||
onChange={v => setIndexMethod(v)}
|
||||
onChange={v => setIndexMethod(v!)}
|
||||
docForm={currentDataset.doc_form}
|
||||
currentValue={currentDataset.indexing_technique}
|
||||
/>
|
||||
@@ -300,35 +300,37 @@ const Form = () => {
|
||||
</div>
|
||||
</div>
|
||||
</>
|
||||
: <>
|
||||
<div className='w-full h-0 border-b border-divider-subtle my-1' />
|
||||
<div className={rowClass}>
|
||||
<div className={labelClass}>
|
||||
<div>
|
||||
<div className='text-text-secondary system-sm-semibold'>{t('datasetSettings.form.retrievalSetting.title')}</div>
|
||||
<div className='body-xs-regular text-text-tertiary'>
|
||||
<a target='_blank' rel='noopener noreferrer' href='https://docs.dify.ai/guides/knowledge-base/create-knowledge-and-upload-documents#id-4-retrieval-settings' className='text-text-accent'>{t('datasetSettings.form.retrievalSetting.learnMore')}</a>
|
||||
{t('datasetSettings.form.retrievalSetting.description')}
|
||||
: indexMethod
|
||||
? <>
|
||||
<div className='w-full h-0 border-b border-divider-subtle my-1' />
|
||||
<div className={rowClass}>
|
||||
<div className={labelClass}>
|
||||
<div>
|
||||
<div className='text-text-secondary system-sm-semibold'>{t('datasetSettings.form.retrievalSetting.title')}</div>
|
||||
<div className='body-xs-regular text-text-tertiary'>
|
||||
<a target='_blank' rel='noopener noreferrer' href='https://docs.dify.ai/guides/knowledge-base/create-knowledge-and-upload-documents#id-4-retrieval-settings' className='text-text-accent'>{t('datasetSettings.form.retrievalSetting.learnMore')}</a>
|
||||
{t('datasetSettings.form.retrievalSetting.description')}
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
<div className='grow'>
|
||||
{indexMethod === IndexingType.QUALIFIED
|
||||
? (
|
||||
<RetrievalMethodConfig
|
||||
value={retrievalConfig}
|
||||
onChange={setRetrievalConfig}
|
||||
/>
|
||||
)
|
||||
: (
|
||||
<EconomicalRetrievalMethodConfig
|
||||
value={retrievalConfig}
|
||||
onChange={setRetrievalConfig}
|
||||
/>
|
||||
)}
|
||||
</div>
|
||||
</div>
|
||||
<div className='grow'>
|
||||
{indexMethod === 'high_quality'
|
||||
? (
|
||||
<RetrievalMethodConfig
|
||||
value={retrievalConfig}
|
||||
onChange={setRetrievalConfig}
|
||||
/>
|
||||
)
|
||||
: (
|
||||
<EconomicalRetrievalMethodConfig
|
||||
value={retrievalConfig}
|
||||
onChange={setRetrievalConfig}
|
||||
/>
|
||||
)}
|
||||
</div>
|
||||
</div>
|
||||
</>
|
||||
</>
|
||||
: null
|
||||
}
|
||||
<div className='w-full h-0 border-b border-divider-subtle my-1' />
|
||||
<div className={rowClass}>
|
||||
|
||||
@@ -1,4 +1,5 @@
|
||||
'use client'
|
||||
import type { PropsWithChildren } from 'react'
|
||||
import classNames from '@/utils/classnames'
|
||||
|
||||
type IChildrenProps = {
|
||||
@@ -139,3 +140,9 @@ export function SubProperty({ name, type, children }: ISubProperty) {
|
||||
</li>
|
||||
)
|
||||
}
|
||||
|
||||
export function PropertyInstruction({ children }: PropsWithChildren<{}>) {
|
||||
return (
|
||||
<li className="m-0 px-0 py-4 first:pt-0 italic">{children}</li>
|
||||
)
|
||||
}
|
||||
|
||||
@@ -760,7 +760,21 @@ export const useWorkflowRun = () => {
|
||||
edges,
|
||||
viewport,
|
||||
})
|
||||
featuresStore?.setState({ features: publishedWorkflow.features })
|
||||
const mappedFeatures = {
|
||||
opening: {
|
||||
enabled: !!publishedWorkflow.features.opening_statement || !!publishedWorkflow.features.suggested_questions.length,
|
||||
opening_statement: publishedWorkflow.features.opening_statement,
|
||||
suggested_questions: publishedWorkflow.features.suggested_questions,
|
||||
},
|
||||
suggested: publishedWorkflow.features.suggested_questions_after_answer,
|
||||
text2speech: publishedWorkflow.features.text_to_speech,
|
||||
speech2text: publishedWorkflow.features.speech_to_text,
|
||||
citation: publishedWorkflow.features.retriever_resource,
|
||||
moderation: publishedWorkflow.features.sensitive_word_avoidance,
|
||||
file: publishedWorkflow.features.file_upload,
|
||||
}
|
||||
|
||||
featuresStore?.setState({ features: mappedFeatures })
|
||||
workflowStore.getState().setPublishedAt(publishedWorkflow.created_at)
|
||||
workflowStore.getState().setEnvironmentVariables(publishedWorkflow.environment_variables || [])
|
||||
}, [featuresStore, handleUpdateWorkflowCanvas, workflowStore])
|
||||
|
||||
@@ -49,6 +49,7 @@ const translation = {
|
||||
view: 'Ansehen',
|
||||
submit: 'Senden',
|
||||
skip: 'Schiff',
|
||||
imageCopied: 'Kopiertes Bild',
|
||||
},
|
||||
placeholder: {
|
||||
input: 'Bitte eingeben',
|
||||
|
||||
@@ -166,6 +166,8 @@ const translation = {
|
||||
localDocs: 'Lokale Dokumente',
|
||||
preprocessDocument: '{{num}} Vorverarbeiten von Dokumenten',
|
||||
documentsDisabled: '{{num}} Dokumente deaktiviert - seit über 30 Tagen inaktiv',
|
||||
allKnowledge: 'Alles Wissen',
|
||||
allKnowledgeDescription: 'Wählen Sie diese Option aus, um das gesamte Wissen in diesem Arbeitsbereich anzuzeigen. Nur der Workspace-Besitzer kann das gesamte Wissen verwalten.',
|
||||
}
|
||||
|
||||
export default translation
|
||||
|
||||
@@ -157,6 +157,10 @@ const translation = {
|
||||
title: 'Langfuse',
|
||||
description: 'Traces, evals, prompt management and metrics to debug and improve your LLM application.',
|
||||
},
|
||||
opik: {
|
||||
title: 'Opik',
|
||||
description: 'Opik is an open-source platform for evaluating, testing, and monitoring LLM applications.',
|
||||
},
|
||||
inUse: 'In use',
|
||||
configProvider: {
|
||||
title: 'Config ',
|
||||
|
||||
@@ -166,6 +166,8 @@ const translation = {
|
||||
cancel: 'Cancel',
|
||||
},
|
||||
preprocessDocument: '{{num}} Preprocess Documents',
|
||||
allKnowledge: 'All Knowledge',
|
||||
allKnowledgeDescription: 'Select to display all knowledge in this workspace. Only the Workspace Owner can manage all knowledge.',
|
||||
}
|
||||
|
||||
export default translation
|
||||
|
||||
@@ -49,6 +49,7 @@ const translation = {
|
||||
view: 'Vista',
|
||||
submit: 'Enviar',
|
||||
skip: 'Navío',
|
||||
imageCopied: 'Imagen copiada',
|
||||
},
|
||||
errorMsg: {
|
||||
fieldRequired: '{{field}} es requerido',
|
||||
|
||||
@@ -166,6 +166,8 @@ const translation = {
|
||||
documentsDisabled: '{{num}} Documentos desactivados - inactivos durante más de 30 días',
|
||||
preprocessDocument: '{{num}} Documentos de preprocesamiento',
|
||||
localDocs: 'Documentos locales',
|
||||
allKnowledgeDescription: 'Seleccione esta opción para mostrar todos los conocimientos de este espacio de trabajo. Solo el propietario del espacio de trabajo puede administrar todo el conocimiento.',
|
||||
allKnowledge: 'Todo el conocimiento',
|
||||
}
|
||||
|
||||
export default translation
|
||||
|
||||
@@ -49,6 +49,7 @@ const translation = {
|
||||
saveAndRegenerate: 'ذخیره و بازسازی تکه های فرزند',
|
||||
submit: 'ارسال',
|
||||
skip: 'کشتی',
|
||||
imageCopied: 'تصویر کپی شده',
|
||||
},
|
||||
errorMsg: {
|
||||
fieldRequired: '{{field}} الزامی است',
|
||||
|
||||
@@ -166,6 +166,8 @@ const translation = {
|
||||
documentsDisabled: '{{num}} اسناد غیرفعال - غیرفعال برای بیش از 30 روز',
|
||||
preprocessDocument: '{{عدد}} اسناد پیش پردازش',
|
||||
localDocs: 'اسناد محلی',
|
||||
allKnowledge: 'همه دانش ها',
|
||||
allKnowledgeDescription: 'برای نمایش تمام دانش در این فضای کاری انتخاب کنید. فقط مالک فضای کاری می تواند تمام دانش را مدیریت کند.',
|
||||
}
|
||||
|
||||
export default translation
|
||||
|
||||
@@ -49,6 +49,7 @@ const translation = {
|
||||
regenerate: 'Régénérer',
|
||||
submit: 'Envoyer',
|
||||
skip: 'Bateau',
|
||||
imageCopied: 'Image copied',
|
||||
},
|
||||
placeholder: {
|
||||
input: 'Veuillez entrer',
|
||||
|
||||
@@ -166,6 +166,8 @@ const translation = {
|
||||
documentsDisabled: '{{num}} documents désactivés - inactifs depuis plus de 30 jours',
|
||||
localDocs: 'Docs locaux',
|
||||
enable: 'Activer',
|
||||
allKnowledge: 'Toutes les connaissances',
|
||||
allKnowledgeDescription: 'Sélectionnez cette option pour afficher toutes les connaissances dans cet espace de travail. Seul le propriétaire de l’espace de travail peut gérer toutes les connaissances.',
|
||||
}
|
||||
|
||||
export default translation
|
||||
|
||||
@@ -49,6 +49,7 @@ const translation = {
|
||||
saveAndRegenerate: 'सहेजें और पुन: उत्पन्न करें बाल विखंडू',
|
||||
skip: 'जहाज़',
|
||||
submit: 'जमा करें',
|
||||
imageCopied: 'कॉपी की गई छवि',
|
||||
},
|
||||
errorMsg: {
|
||||
fieldRequired: '{{field}} आवश्यक है',
|
||||
|
||||
@@ -173,6 +173,8 @@ const translation = {
|
||||
preprocessDocument: '{{num}} प्रीप्रोसेस दस्तावेज़',
|
||||
enable: 'योग्य बनाना',
|
||||
documentsDisabled: '{{num}} दस्तावेज़ अक्षम - 30 दिनों से अधिक समय से निष्क्रिय',
|
||||
allKnowledge: 'सर्व ज्ञान',
|
||||
allKnowledgeDescription: 'इस कार्यस्थान में सभी ज्ञान प्रदर्शित करने के लिए चयन करें. केवल कार्यस्थान स्वामी ही सभी ज्ञान का प्रबंधन कर सकता है.',
|
||||
}
|
||||
|
||||
export default translation
|
||||
|
||||
@@ -49,6 +49,7 @@ const translation = {
|
||||
viewMore: 'SCOPRI DI PIÙ',
|
||||
submit: 'Invia',
|
||||
skip: 'Nave',
|
||||
imageCopied: 'Immagine copiata',
|
||||
},
|
||||
errorMsg: {
|
||||
fieldRequired: '{{field}} è obbligatorio',
|
||||
|
||||
@@ -173,6 +173,8 @@ const translation = {
|
||||
enable: 'Abilitare',
|
||||
documentsDisabled: '{{num}} documenti disabilitati - inattivi da oltre 30 giorni',
|
||||
localDocs: 'Documenti locali',
|
||||
allKnowledge: 'Tutta la conoscenza',
|
||||
allKnowledgeDescription: 'Selezionare questa opzione per visualizzare tutte le informazioni in questa area di lavoro. Solo il proprietario dell\'area di lavoro può gestire tutte le conoscenze.',
|
||||
}
|
||||
|
||||
export default translation
|
||||
|
||||
@@ -49,6 +49,7 @@ const translation = {
|
||||
regenerate: '再生成',
|
||||
submit: '送信',
|
||||
skip: 'スキップ',
|
||||
imageCopied: 'コピーした画像',
|
||||
},
|
||||
errorMsg: {
|
||||
fieldRequired: '{{field}}は必要です',
|
||||
|
||||
@@ -166,6 +166,8 @@ const translation = {
|
||||
cancel: 'キャンセル',
|
||||
},
|
||||
preprocessDocument: '{{num}}件のドキュメントを前処理',
|
||||
allKnowledge: 'すべての知識',
|
||||
allKnowledgeDescription: 'このワークスペースにすべてのナレッジを表示する場合に選択します。ワークスペースのオーナーのみがすべてのナレッジを管理できます。',
|
||||
}
|
||||
|
||||
export default translation
|
||||
|
||||
@@ -49,6 +49,7 @@ const translation = {
|
||||
saveAndRegenerate: '저장 및 자식 청크 재생성',
|
||||
submit: '전송',
|
||||
skip: '배',
|
||||
imageCopied: '복사된 이미지',
|
||||
},
|
||||
placeholder: {
|
||||
input: '입력해주세요',
|
||||
|
||||
@@ -165,6 +165,8 @@ const translation = {
|
||||
preprocessDocument: '{{숫자}} 문서 전처리',
|
||||
enable: '사용',
|
||||
documentsDisabled: '{{num}} 문서 사용 안 함 - 30일 이상 비활성 상태',
|
||||
allKnowledge: '모든 지식',
|
||||
allKnowledgeDescription: '이 작업 영역의 모든 정보를 표시하려면 선택합니다. 워크스페이스 소유자만 모든 기술 자료를 관리할 수 있습니다.',
|
||||
}
|
||||
|
||||
export default translation
|
||||
|
||||
@@ -49,6 +49,7 @@ const translation = {
|
||||
close: 'Zamykać',
|
||||
submit: 'Prześlij',
|
||||
skip: 'Statek',
|
||||
imageCopied: 'Skopiowany obraz',
|
||||
},
|
||||
placeholder: {
|
||||
input: 'Proszę wprowadzić',
|
||||
|
||||
@@ -172,6 +172,8 @@ const translation = {
|
||||
localDocs: 'Lokalne dokumenty',
|
||||
documentsDisabled: '{{num}} dokumenty wyłączone - nieaktywne przez ponad 30 dni',
|
||||
enable: 'Umożliwiać',
|
||||
allKnowledge: 'Cała wiedza',
|
||||
allKnowledgeDescription: 'Wybierz tę opcję, aby wyświetlić całą wiedzę w tym obszarze roboczym. Tylko właściciel obszaru roboczego może zarządzać całą wiedzą.',
|
||||
}
|
||||
|
||||
export default translation
|
||||
|
||||
@@ -49,6 +49,7 @@ const translation = {
|
||||
view: 'Vista',
|
||||
submit: 'Enviar',
|
||||
skip: 'Navio',
|
||||
imageCopied: 'Imagem copiada',
|
||||
},
|
||||
placeholder: {
|
||||
input: 'Por favor, insira',
|
||||
|
||||
@@ -166,6 +166,8 @@ const translation = {
|
||||
enable: 'Habilitar',
|
||||
preprocessDocument: '{{num}} Documentos de pré-processamento',
|
||||
localDocs: 'Documentos locais',
|
||||
allKnowledgeDescription: 'Selecione para exibir todo o conhecimento neste espaço de trabalho. Somente o proprietário do espaço de trabalho pode gerenciar todo o conhecimento.',
|
||||
allKnowledge: 'Todo o conhecimento',
|
||||
}
|
||||
|
||||
export default translation
|
||||
|
||||
@@ -49,6 +49,7 @@ const translation = {
|
||||
view: 'Vedere',
|
||||
submit: 'Prezinte',
|
||||
skip: 'Navă',
|
||||
imageCopied: 'Imagine copiată',
|
||||
},
|
||||
placeholder: {
|
||||
input: 'Vă rugăm să introduceți',
|
||||
|
||||
@@ -166,6 +166,8 @@ const translation = {
|
||||
preprocessDocument: '{{num}} Procesarea prealabilă a documentelor',
|
||||
enable: 'Activa',
|
||||
localDocs: 'Documente locale',
|
||||
allKnowledge: 'Toate cunoștințele',
|
||||
allKnowledgeDescription: 'Selectați pentru a afișa toate cunoștințele din acest spațiu de lucru. Doar proprietarul spațiului de lucru poate gestiona toate cunoștințele.',
|
||||
}
|
||||
|
||||
export default translation
|
||||
|
||||
@@ -49,6 +49,7 @@ const translation = {
|
||||
saveAndRegenerate: 'Сохранение и повторное создание дочерних блоков',
|
||||
submit: 'Отправить',
|
||||
skip: 'Корабль',
|
||||
imageCopied: 'Скопированное изображение',
|
||||
},
|
||||
errorMsg: {
|
||||
fieldRequired: '{{field}} обязательно',
|
||||
|
||||
@@ -166,6 +166,8 @@ const translation = {
|
||||
documentsDisabled: 'Документы {{num}} отключены - неактивны более 30 дней',
|
||||
localDocs: 'Местная документация',
|
||||
enable: 'Давать возможность',
|
||||
allKnowledge: 'Все знания',
|
||||
allKnowledgeDescription: 'Выберите, чтобы отобразить все знания в этой рабочей области. Только владелец рабочего пространства может управлять всеми знаниями.',
|
||||
}
|
||||
|
||||
export default translation
|
||||
|
||||
@@ -49,6 +49,7 @@ const translation = {
|
||||
viewMore: 'POGLEJ VEČ',
|
||||
submit: 'Predložiti',
|
||||
skip: 'Ladja',
|
||||
imageCopied: 'Kopirana slika',
|
||||
},
|
||||
errorMsg: {
|
||||
fieldRequired: '{{field}} je obvezno',
|
||||
|
||||
@@ -166,6 +166,8 @@ const translation = {
|
||||
documentsDisabled: '{{num}} dokumenti onemogočeni - neaktivni več kot 30 dni',
|
||||
preprocessDocument: '{{num}} Predobdelava dokumentov',
|
||||
enable: 'Omogočiti',
|
||||
allKnowledge: 'Vse znanje',
|
||||
allKnowledgeDescription: 'Izberite, če želite prikazati vse znanje v tem delovnem prostoru. Samo lastnik delovnega prostora lahko upravlja vse znanje.',
|
||||
}
|
||||
|
||||
export default translation
|
||||
|
||||
@@ -49,6 +49,7 @@ const translation = {
|
||||
close: 'ปิด',
|
||||
skip: 'เรือ',
|
||||
submit: 'ส่ง',
|
||||
imageCopied: 'ภาพที่คัดลอก',
|
||||
},
|
||||
errorMsg: {
|
||||
fieldRequired: '{{field}} เป็นสิ่งจําเป็น',
|
||||
|
||||
@@ -165,6 +165,8 @@ const translation = {
|
||||
preprocessDocument: '{{num}} เอกสารการประมวลผลล่วงหน้า',
|
||||
documentsDisabled: '{{num}} เอกสารถูกปิดใช้งาน - ไม่ได้ใช้งานนานกว่า 30 วัน',
|
||||
enable: 'เปิด',
|
||||
allKnowledge: 'ความรู้ทั้งหมด',
|
||||
allKnowledgeDescription: 'เลือกเพื่อแสดงความรู้ทั้งหมดในพื้นที่ทํางานนี้ เฉพาะเจ้าของพื้นที่ทํางานเท่านั้นที่สามารถจัดการความรู้ทั้งหมดได้',
|
||||
}
|
||||
|
||||
export default translation
|
||||
|
||||
@@ -49,6 +49,7 @@ const translation = {
|
||||
close: 'Kapatmak',
|
||||
submit: 'Gönder',
|
||||
skip: 'Gemi',
|
||||
imageCopied: 'Kopyalanan görüntü',
|
||||
},
|
||||
errorMsg: {
|
||||
fieldRequired: '{{field}} gereklidir',
|
||||
|
||||
@@ -166,6 +166,8 @@ const translation = {
|
||||
localDocs: 'Yerel Dokümanlar',
|
||||
documentsDisabled: '{{num}} belge devre dışı - 30 günden uzun süre etkin değil',
|
||||
enable: 'Etkinleştirmek',
|
||||
allKnowledge: 'Tüm Bilgiler',
|
||||
allKnowledgeDescription: 'Bu çalışma alanındaki tüm bilgileri görüntülemek için seçin. Yalnızca Çalışma Alanı Sahibi tüm bilgileri yönetebilir.',
|
||||
}
|
||||
|
||||
export default translation
|
||||
|
||||
@@ -49,6 +49,7 @@ const translation = {
|
||||
saveAndRegenerate: 'Збереження та регенерація дочірніх фрагментів',
|
||||
submit: 'Представити',
|
||||
skip: 'Корабель',
|
||||
imageCopied: 'Скопійоване зображення',
|
||||
},
|
||||
placeholder: {
|
||||
input: 'Будь ласка, введіть текст',
|
||||
|
||||
@@ -167,6 +167,8 @@ const translation = {
|
||||
documentsDisabled: 'Документи {{num}} вимкнені - неактивні понад 30 днів',
|
||||
localDocs: 'Локальні документи',
|
||||
enable: 'Вмикати',
|
||||
allKnowledge: 'Всі знання',
|
||||
allKnowledgeDescription: 'Виберіть, щоб відобразити всі знання в цій робочій області. Тільки власник робочої області може керувати всіма знаннями.',
|
||||
}
|
||||
|
||||
export default translation
|
||||
|
||||
@@ -49,6 +49,7 @@ const translation = {
|
||||
viewMore: 'XEM THÊM',
|
||||
submit: 'Trình',
|
||||
skip: 'Tàu',
|
||||
imageCopied: 'Hình ảnh sao chép',
|
||||
},
|
||||
placeholder: {
|
||||
input: 'Vui lòng nhập',
|
||||
|
||||
Some files were not shown because too many files have changed in this diff Show More
Reference in New Issue
Block a user