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34
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f7f6b4a8b0 |
@@ -53,6 +53,8 @@ jobs:
|
||||
# Fix forward references that were incorrectly converted (Python doesn't support "Type" | None syntax)
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||||
find . -name "*.py" -type f -exec sed -i.bak -E 's/"([^"]+)" \| None/Optional["\1"]/g; s/'"'"'([^'"'"']+)'"'"' \| None/Optional['"'"'\1'"'"']/g' {} \;
|
||||
find . -name "*.py.bak" -type f -delete
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||||
# Rewrite SQLAlchemy with Type Annotations
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||||
uvx --from ast-grep-cli sg scan -r dev/ast-grep/rules/remove-nullable-arg.yaml api/models -U
|
||||
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||||
- name: mdformat
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run: |
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||||
|
||||
@@ -371,6 +371,12 @@ UPLOAD_IMAGE_FILE_SIZE_LIMIT=10
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UPLOAD_VIDEO_FILE_SIZE_LIMIT=100
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UPLOAD_AUDIO_FILE_SIZE_LIMIT=50
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|
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# Comma-separated list of file extensions blocked from upload for security reasons.
|
||||
# Extensions should be lowercase without dots (e.g., exe,bat,sh,dll).
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# Empty by default to allow all file types.
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# Recommended: exe,bat,cmd,com,scr,vbs,ps1,msi,dll
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UPLOAD_FILE_EXTENSION_BLACKLIST=
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# Model configuration
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MULTIMODAL_SEND_FORMAT=base64
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PROMPT_GENERATION_MAX_TOKENS=512
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@@ -608,3 +614,6 @@ SWAGGER_UI_PATH=/swagger-ui.html
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# Whether to encrypt dataset IDs when exporting DSL files (default: true)
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# Set to false to export dataset IDs as plain text for easier cross-environment import
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DSL_EXPORT_ENCRYPT_DATASET_ID=true
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# Maximum number of segments for dataset segments API (0 for unlimited)
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DATASET_MAX_SEGMENTS_PER_REQUEST=0
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+8
-2
@@ -15,7 +15,11 @@ FROM base AS packages
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||||
# RUN sed -i 's@deb.debian.org@mirrors.aliyun.com@g' /etc/apt/sources.list.d/debian.sources
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||||
|
||||
RUN apt-get update \
|
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&& apt-get install -y --no-install-recommends gcc g++ libc-dev libffi-dev libgmp-dev libmpfr-dev libmpc-dev
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&& apt-get install -y --no-install-recommends \
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# basic environment
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g++ \
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# for building gmpy2
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libmpfr-dev libmpc-dev
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||||
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# Install Python dependencies
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COPY pyproject.toml uv.lock ./
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@@ -49,7 +53,9 @@ RUN \
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# Install dependencies
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&& apt-get install -y --no-install-recommends \
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# basic environment
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curl nodejs libgmp-dev libmpfr-dev libmpc-dev \
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curl nodejs \
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# for gmpy2 \
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libgmp-dev libmpfr-dev libmpc-dev \
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# For Security
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expat libldap-2.5-0 perl libsqlite3-0 zlib1g \
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# install fonts to support the use of tools like pypdfium2
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@@ -331,6 +331,31 @@ class FileUploadConfig(BaseSettings):
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default=10,
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)
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inner_UPLOAD_FILE_EXTENSION_BLACKLIST: str = Field(
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description=(
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"Comma-separated list of file extensions that are blocked from upload. "
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"Extensions should be lowercase without dots (e.g., 'exe,bat,sh,dll'). "
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"Empty by default to allow all file types."
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),
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validation_alias=AliasChoices("UPLOAD_FILE_EXTENSION_BLACKLIST"),
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default="",
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)
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@computed_field # type: ignore[misc]
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@property
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def UPLOAD_FILE_EXTENSION_BLACKLIST(self) -> set[str]:
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"""
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Parse and return the blacklist as a set of lowercase extensions.
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Returns an empty set if no blacklist is configured.
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"""
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if not self.inner_UPLOAD_FILE_EXTENSION_BLACKLIST:
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return set()
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return {
|
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ext.strip().lower().strip(".")
|
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for ext in self.inner_UPLOAD_FILE_EXTENSION_BLACKLIST.split(",")
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if ext.strip()
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}
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||||
|
||||
|
||||
class HttpConfig(BaseSettings):
|
||||
"""
|
||||
@@ -920,6 +945,11 @@ class DataSetConfig(BaseSettings):
|
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default=True,
|
||||
)
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||||
|
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DATASET_MAX_SEGMENTS_PER_REQUEST: NonNegativeInt = Field(
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description="Maximum number of segments for dataset segments API (0 for unlimited)",
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default=0,
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||||
)
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||||
|
||||
|
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class WorkspaceConfig(BaseSettings):
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"""
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||||
|
||||
@@ -25,6 +25,12 @@ class UnsupportedFileTypeError(BaseHTTPException):
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code = 415
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||||
|
||||
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||||
class BlockedFileExtensionError(BaseHTTPException):
|
||||
error_code = "file_extension_blocked"
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description = "The file extension is blocked for security reasons."
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||||
code = 400
|
||||
|
||||
|
||||
class TooManyFilesError(BaseHTTPException):
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error_code = "too_many_files"
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description = "Only one file is allowed."
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||||
|
||||
@@ -16,6 +16,7 @@ from fields.annotation_fields import (
|
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annotation_fields,
|
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annotation_hit_history_fields,
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)
|
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from libs.helper import uuid_value
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from libs.login import login_required
|
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from services.annotation_service import AppAnnotationService
|
||||
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||||
@@ -175,8 +176,10 @@ class AnnotationApi(Resource):
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||||
api.model(
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||||
"CreateAnnotationRequest",
|
||||
{
|
||||
"question": fields.String(required=True, description="Question text"),
|
||||
"answer": fields.String(required=True, description="Answer text"),
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||||
"message_id": fields.String(description="Message ID (optional)"),
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||||
"question": fields.String(description="Question text (required when message_id not provided)"),
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||||
"answer": fields.String(description="Answer text (use 'answer' or 'content')"),
|
||||
"content": fields.String(description="Content text (use 'answer' or 'content')"),
|
||||
"annotation_reply": fields.Raw(description="Annotation reply data"),
|
||||
},
|
||||
)
|
||||
@@ -193,11 +196,14 @@ class AnnotationApi(Resource):
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||||
app_id = str(app_id)
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||||
parser = (
|
||||
reqparse.RequestParser()
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||||
.add_argument("question", required=True, type=str, location="json")
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||||
.add_argument("answer", required=True, type=str, location="json")
|
||||
.add_argument("message_id", required=False, type=uuid_value, location="json")
|
||||
.add_argument("question", required=False, type=str, location="json")
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||||
.add_argument("answer", required=False, type=str, location="json")
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||||
.add_argument("content", required=False, type=str, location="json")
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||||
.add_argument("annotation_reply", required=False, type=dict, location="json")
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||||
)
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||||
args = parser.parse_args()
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||||
annotation = AppAnnotationService.insert_app_annotation_directly(args, app_id)
|
||||
annotation = AppAnnotationService.up_insert_app_annotation_from_message(args, app_id)
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||||
return annotation
|
||||
|
||||
@setup_required
|
||||
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||||
@@ -1,7 +1,5 @@
|
||||
from datetime import datetime
|
||||
|
||||
import pytz
|
||||
import sqlalchemy as sa
|
||||
from flask import abort
|
||||
from flask_restx import Resource, marshal_with, reqparse
|
||||
from flask_restx.inputs import int_range
|
||||
from sqlalchemy import func, or_
|
||||
@@ -19,7 +17,7 @@ from fields.conversation_fields import (
|
||||
conversation_pagination_fields,
|
||||
conversation_with_summary_pagination_fields,
|
||||
)
|
||||
from libs.datetime_utils import naive_utc_now
|
||||
from libs.datetime_utils import naive_utc_now, parse_time_range
|
||||
from libs.helper import DatetimeString
|
||||
from libs.login import current_account_with_tenant, login_required
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||||
from models import Conversation, EndUser, Message, MessageAnnotation
|
||||
@@ -90,25 +88,17 @@ class CompletionConversationApi(Resource):
|
||||
|
||||
account = current_user
|
||||
assert account.timezone is not None
|
||||
timezone = pytz.timezone(account.timezone)
|
||||
utc_timezone = pytz.utc
|
||||
|
||||
if args["start"]:
|
||||
start_datetime = datetime.strptime(args["start"], "%Y-%m-%d %H:%M")
|
||||
start_datetime = start_datetime.replace(second=0)
|
||||
|
||||
start_datetime_timezone = timezone.localize(start_datetime)
|
||||
start_datetime_utc = start_datetime_timezone.astimezone(utc_timezone)
|
||||
try:
|
||||
start_datetime_utc, end_datetime_utc = parse_time_range(args["start"], args["end"], account.timezone)
|
||||
except ValueError as e:
|
||||
abort(400, description=str(e))
|
||||
|
||||
if start_datetime_utc:
|
||||
query = query.where(Conversation.created_at >= start_datetime_utc)
|
||||
|
||||
if args["end"]:
|
||||
end_datetime = datetime.strptime(args["end"], "%Y-%m-%d %H:%M")
|
||||
end_datetime = end_datetime.replace(second=59)
|
||||
|
||||
end_datetime_timezone = timezone.localize(end_datetime)
|
||||
end_datetime_utc = end_datetime_timezone.astimezone(utc_timezone)
|
||||
|
||||
if end_datetime_utc:
|
||||
end_datetime_utc = end_datetime_utc.replace(second=59)
|
||||
query = query.where(Conversation.created_at < end_datetime_utc)
|
||||
|
||||
# FIXME, the type ignore in this file
|
||||
@@ -270,29 +260,21 @@ class ChatConversationApi(Resource):
|
||||
|
||||
account = current_user
|
||||
assert account.timezone is not None
|
||||
timezone = pytz.timezone(account.timezone)
|
||||
utc_timezone = pytz.utc
|
||||
|
||||
if args["start"]:
|
||||
start_datetime = datetime.strptime(args["start"], "%Y-%m-%d %H:%M")
|
||||
start_datetime = start_datetime.replace(second=0)
|
||||
|
||||
start_datetime_timezone = timezone.localize(start_datetime)
|
||||
start_datetime_utc = start_datetime_timezone.astimezone(utc_timezone)
|
||||
try:
|
||||
start_datetime_utc, end_datetime_utc = parse_time_range(args["start"], args["end"], account.timezone)
|
||||
except ValueError as e:
|
||||
abort(400, description=str(e))
|
||||
|
||||
if start_datetime_utc:
|
||||
match args["sort_by"]:
|
||||
case "updated_at" | "-updated_at":
|
||||
query = query.where(Conversation.updated_at >= start_datetime_utc)
|
||||
case "created_at" | "-created_at" | _:
|
||||
query = query.where(Conversation.created_at >= start_datetime_utc)
|
||||
|
||||
if args["end"]:
|
||||
end_datetime = datetime.strptime(args["end"], "%Y-%m-%d %H:%M")
|
||||
end_datetime = end_datetime.replace(second=59)
|
||||
|
||||
end_datetime_timezone = timezone.localize(end_datetime)
|
||||
end_datetime_utc = end_datetime_timezone.astimezone(utc_timezone)
|
||||
|
||||
if end_datetime_utc:
|
||||
end_datetime_utc = end_datetime_utc.replace(second=59)
|
||||
match args["sort_by"]:
|
||||
case "updated_at" | "-updated_at":
|
||||
query = query.where(Conversation.updated_at <= end_datetime_utc)
|
||||
|
||||
@@ -16,7 +16,6 @@ from controllers.console.app.wraps import get_app_model
|
||||
from controllers.console.explore.error import AppSuggestedQuestionsAfterAnswerDisabledError
|
||||
from controllers.console.wraps import (
|
||||
account_initialization_required,
|
||||
cloud_edition_billing_resource_check,
|
||||
edit_permission_required,
|
||||
setup_required,
|
||||
)
|
||||
@@ -24,12 +23,11 @@ from core.app.entities.app_invoke_entities import InvokeFrom
|
||||
from core.errors.error import ModelCurrentlyNotSupportError, ProviderTokenNotInitError, QuotaExceededError
|
||||
from core.model_runtime.errors.invoke import InvokeError
|
||||
from extensions.ext_database import db
|
||||
from fields.conversation_fields import annotation_fields, message_detail_fields
|
||||
from fields.conversation_fields import message_detail_fields
|
||||
from libs.helper import uuid_value
|
||||
from libs.infinite_scroll_pagination import InfiniteScrollPagination
|
||||
from libs.login import current_account_with_tenant, login_required
|
||||
from models.model import AppMode, Conversation, Message, MessageAnnotation, MessageFeedback
|
||||
from services.annotation_service import AppAnnotationService
|
||||
from services.errors.conversation import ConversationNotExistsError
|
||||
from services.errors.message import MessageNotExistsError, SuggestedQuestionsAfterAnswerDisabledError
|
||||
from services.message_service import MessageService
|
||||
@@ -194,45 +192,6 @@ class MessageFeedbackApi(Resource):
|
||||
return {"result": "success"}
|
||||
|
||||
|
||||
@console_ns.route("/apps/<uuid:app_id>/annotations")
|
||||
class MessageAnnotationApi(Resource):
|
||||
@api.doc("create_message_annotation")
|
||||
@api.doc(description="Create message annotation")
|
||||
@api.doc(params={"app_id": "Application ID"})
|
||||
@api.expect(
|
||||
api.model(
|
||||
"MessageAnnotationRequest",
|
||||
{
|
||||
"message_id": fields.String(description="Message ID"),
|
||||
"question": fields.String(required=True, description="Question text"),
|
||||
"answer": fields.String(required=True, description="Answer text"),
|
||||
"annotation_reply": fields.Raw(description="Annotation reply"),
|
||||
},
|
||||
)
|
||||
)
|
||||
@api.response(200, "Annotation created successfully", annotation_fields)
|
||||
@api.response(403, "Insufficient permissions")
|
||||
@marshal_with(annotation_fields)
|
||||
@get_app_model
|
||||
@setup_required
|
||||
@login_required
|
||||
@cloud_edition_billing_resource_check("annotation")
|
||||
@account_initialization_required
|
||||
@edit_permission_required
|
||||
def post(self, app_model):
|
||||
parser = (
|
||||
reqparse.RequestParser()
|
||||
.add_argument("message_id", required=False, type=uuid_value, location="json")
|
||||
.add_argument("question", required=True, type=str, location="json")
|
||||
.add_argument("answer", required=True, type=str, location="json")
|
||||
.add_argument("annotation_reply", required=False, type=dict, location="json")
|
||||
)
|
||||
args = parser.parse_args()
|
||||
annotation = AppAnnotationService.up_insert_app_annotation_from_message(args, app_model.id)
|
||||
|
||||
return annotation
|
||||
|
||||
|
||||
@console_ns.route("/apps/<uuid:app_id>/annotations/count")
|
||||
class MessageAnnotationCountApi(Resource):
|
||||
@api.doc("get_annotation_count")
|
||||
|
||||
@@ -1,9 +1,7 @@
|
||||
from datetime import datetime
|
||||
from decimal import Decimal
|
||||
|
||||
import pytz
|
||||
import sqlalchemy as sa
|
||||
from flask import jsonify
|
||||
from flask import abort, jsonify
|
||||
from flask_restx import Resource, fields, reqparse
|
||||
|
||||
from controllers.console import api, console_ns
|
||||
@@ -11,6 +9,7 @@ from controllers.console.app.wraps import get_app_model
|
||||
from controllers.console.wraps import account_initialization_required, setup_required
|
||||
from core.app.entities.app_invoke_entities import InvokeFrom
|
||||
from extensions.ext_database import db
|
||||
from libs.datetime_utils import parse_time_range
|
||||
from libs.helper import DatetimeString
|
||||
from libs.login import current_account_with_tenant, login_required
|
||||
from models import AppMode, Message
|
||||
@@ -56,26 +55,16 @@ WHERE
|
||||
arg_dict = {"tz": account.timezone, "app_id": app_model.id, "invoke_from": InvokeFrom.DEBUGGER}
|
||||
assert account.timezone is not None
|
||||
|
||||
timezone = pytz.timezone(account.timezone)
|
||||
utc_timezone = pytz.utc
|
||||
|
||||
if args["start"]:
|
||||
start_datetime = datetime.strptime(args["start"], "%Y-%m-%d %H:%M")
|
||||
start_datetime = start_datetime.replace(second=0)
|
||||
|
||||
start_datetime_timezone = timezone.localize(start_datetime)
|
||||
start_datetime_utc = start_datetime_timezone.astimezone(utc_timezone)
|
||||
try:
|
||||
start_datetime_utc, end_datetime_utc = parse_time_range(args["start"], args["end"], account.timezone)
|
||||
except ValueError as e:
|
||||
abort(400, description=str(e))
|
||||
|
||||
if start_datetime_utc:
|
||||
sql_query += " AND created_at >= :start"
|
||||
arg_dict["start"] = start_datetime_utc
|
||||
|
||||
if args["end"]:
|
||||
end_datetime = datetime.strptime(args["end"], "%Y-%m-%d %H:%M")
|
||||
end_datetime = end_datetime.replace(second=0)
|
||||
|
||||
end_datetime_timezone = timezone.localize(end_datetime)
|
||||
end_datetime_utc = end_datetime_timezone.astimezone(utc_timezone)
|
||||
|
||||
if end_datetime_utc:
|
||||
sql_query += " AND created_at < :end"
|
||||
arg_dict["end"] = end_datetime_utc
|
||||
|
||||
@@ -120,8 +109,11 @@ class DailyConversationStatistic(Resource):
|
||||
)
|
||||
args = parser.parse_args()
|
||||
assert account.timezone is not None
|
||||
timezone = pytz.timezone(account.timezone)
|
||||
utc_timezone = pytz.utc
|
||||
|
||||
try:
|
||||
start_datetime_utc, end_datetime_utc = parse_time_range(args["start"], args["end"], account.timezone)
|
||||
except ValueError as e:
|
||||
abort(400, description=str(e))
|
||||
|
||||
stmt = (
|
||||
sa.select(
|
||||
@@ -134,18 +126,10 @@ class DailyConversationStatistic(Resource):
|
||||
.where(Message.app_id == app_model.id, Message.invoke_from != InvokeFrom.DEBUGGER)
|
||||
)
|
||||
|
||||
if args["start"]:
|
||||
start_datetime = datetime.strptime(args["start"], "%Y-%m-%d %H:%M")
|
||||
start_datetime = start_datetime.replace(second=0)
|
||||
start_datetime_timezone = timezone.localize(start_datetime)
|
||||
start_datetime_utc = start_datetime_timezone.astimezone(utc_timezone)
|
||||
if start_datetime_utc:
|
||||
stmt = stmt.where(Message.created_at >= start_datetime_utc)
|
||||
|
||||
if args["end"]:
|
||||
end_datetime = datetime.strptime(args["end"], "%Y-%m-%d %H:%M")
|
||||
end_datetime = end_datetime.replace(second=0)
|
||||
end_datetime_timezone = timezone.localize(end_datetime)
|
||||
end_datetime_utc = end_datetime_timezone.astimezone(utc_timezone)
|
||||
if end_datetime_utc:
|
||||
stmt = stmt.where(Message.created_at < end_datetime_utc)
|
||||
|
||||
stmt = stmt.group_by("date").order_by("date")
|
||||
@@ -198,26 +182,17 @@ WHERE
|
||||
AND invoke_from != :invoke_from"""
|
||||
arg_dict = {"tz": account.timezone, "app_id": app_model.id, "invoke_from": InvokeFrom.DEBUGGER}
|
||||
assert account.timezone is not None
|
||||
timezone = pytz.timezone(account.timezone)
|
||||
utc_timezone = pytz.utc
|
||||
|
||||
if args["start"]:
|
||||
start_datetime = datetime.strptime(args["start"], "%Y-%m-%d %H:%M")
|
||||
start_datetime = start_datetime.replace(second=0)
|
||||
|
||||
start_datetime_timezone = timezone.localize(start_datetime)
|
||||
start_datetime_utc = start_datetime_timezone.astimezone(utc_timezone)
|
||||
try:
|
||||
start_datetime_utc, end_datetime_utc = parse_time_range(args["start"], args["end"], account.timezone)
|
||||
except ValueError as e:
|
||||
abort(400, description=str(e))
|
||||
|
||||
if start_datetime_utc:
|
||||
sql_query += " AND created_at >= :start"
|
||||
arg_dict["start"] = start_datetime_utc
|
||||
|
||||
if args["end"]:
|
||||
end_datetime = datetime.strptime(args["end"], "%Y-%m-%d %H:%M")
|
||||
end_datetime = end_datetime.replace(second=0)
|
||||
|
||||
end_datetime_timezone = timezone.localize(end_datetime)
|
||||
end_datetime_utc = end_datetime_timezone.astimezone(utc_timezone)
|
||||
|
||||
if end_datetime_utc:
|
||||
sql_query += " AND created_at < :end"
|
||||
arg_dict["end"] = end_datetime_utc
|
||||
|
||||
@@ -273,26 +248,17 @@ WHERE
|
||||
AND invoke_from != :invoke_from"""
|
||||
arg_dict = {"tz": account.timezone, "app_id": app_model.id, "invoke_from": InvokeFrom.DEBUGGER}
|
||||
assert account.timezone is not None
|
||||
timezone = pytz.timezone(account.timezone)
|
||||
utc_timezone = pytz.utc
|
||||
|
||||
if args["start"]:
|
||||
start_datetime = datetime.strptime(args["start"], "%Y-%m-%d %H:%M")
|
||||
start_datetime = start_datetime.replace(second=0)
|
||||
|
||||
start_datetime_timezone = timezone.localize(start_datetime)
|
||||
start_datetime_utc = start_datetime_timezone.astimezone(utc_timezone)
|
||||
try:
|
||||
start_datetime_utc, end_datetime_utc = parse_time_range(args["start"], args["end"], account.timezone)
|
||||
except ValueError as e:
|
||||
abort(400, description=str(e))
|
||||
|
||||
if start_datetime_utc:
|
||||
sql_query += " AND created_at >= :start"
|
||||
arg_dict["start"] = start_datetime_utc
|
||||
|
||||
if args["end"]:
|
||||
end_datetime = datetime.strptime(args["end"], "%Y-%m-%d %H:%M")
|
||||
end_datetime = end_datetime.replace(second=0)
|
||||
|
||||
end_datetime_timezone = timezone.localize(end_datetime)
|
||||
end_datetime_utc = end_datetime_timezone.astimezone(utc_timezone)
|
||||
|
||||
if end_datetime_utc:
|
||||
sql_query += " AND created_at < :end"
|
||||
arg_dict["end"] = end_datetime_utc
|
||||
|
||||
@@ -357,26 +323,17 @@ FROM
|
||||
AND m.invoke_from != :invoke_from"""
|
||||
arg_dict = {"tz": account.timezone, "app_id": app_model.id, "invoke_from": InvokeFrom.DEBUGGER}
|
||||
assert account.timezone is not None
|
||||
timezone = pytz.timezone(account.timezone)
|
||||
utc_timezone = pytz.utc
|
||||
|
||||
if args["start"]:
|
||||
start_datetime = datetime.strptime(args["start"], "%Y-%m-%d %H:%M")
|
||||
start_datetime = start_datetime.replace(second=0)
|
||||
|
||||
start_datetime_timezone = timezone.localize(start_datetime)
|
||||
start_datetime_utc = start_datetime_timezone.astimezone(utc_timezone)
|
||||
try:
|
||||
start_datetime_utc, end_datetime_utc = parse_time_range(args["start"], args["end"], account.timezone)
|
||||
except ValueError as e:
|
||||
abort(400, description=str(e))
|
||||
|
||||
if start_datetime_utc:
|
||||
sql_query += " AND c.created_at >= :start"
|
||||
arg_dict["start"] = start_datetime_utc
|
||||
|
||||
if args["end"]:
|
||||
end_datetime = datetime.strptime(args["end"], "%Y-%m-%d %H:%M")
|
||||
end_datetime = end_datetime.replace(second=0)
|
||||
|
||||
end_datetime_timezone = timezone.localize(end_datetime)
|
||||
end_datetime_utc = end_datetime_timezone.astimezone(utc_timezone)
|
||||
|
||||
if end_datetime_utc:
|
||||
sql_query += " AND c.created_at < :end"
|
||||
arg_dict["end"] = end_datetime_utc
|
||||
|
||||
@@ -446,26 +403,17 @@ WHERE
|
||||
AND m.invoke_from != :invoke_from"""
|
||||
arg_dict = {"tz": account.timezone, "app_id": app_model.id, "invoke_from": InvokeFrom.DEBUGGER}
|
||||
assert account.timezone is not None
|
||||
timezone = pytz.timezone(account.timezone)
|
||||
utc_timezone = pytz.utc
|
||||
|
||||
if args["start"]:
|
||||
start_datetime = datetime.strptime(args["start"], "%Y-%m-%d %H:%M")
|
||||
start_datetime = start_datetime.replace(second=0)
|
||||
|
||||
start_datetime_timezone = timezone.localize(start_datetime)
|
||||
start_datetime_utc = start_datetime_timezone.astimezone(utc_timezone)
|
||||
try:
|
||||
start_datetime_utc, end_datetime_utc = parse_time_range(args["start"], args["end"], account.timezone)
|
||||
except ValueError as e:
|
||||
abort(400, description=str(e))
|
||||
|
||||
if start_datetime_utc:
|
||||
sql_query += " AND m.created_at >= :start"
|
||||
arg_dict["start"] = start_datetime_utc
|
||||
|
||||
if args["end"]:
|
||||
end_datetime = datetime.strptime(args["end"], "%Y-%m-%d %H:%M")
|
||||
end_datetime = end_datetime.replace(second=0)
|
||||
|
||||
end_datetime_timezone = timezone.localize(end_datetime)
|
||||
end_datetime_utc = end_datetime_timezone.astimezone(utc_timezone)
|
||||
|
||||
if end_datetime_utc:
|
||||
sql_query += " AND m.created_at < :end"
|
||||
arg_dict["end"] = end_datetime_utc
|
||||
|
||||
@@ -525,26 +473,17 @@ WHERE
|
||||
AND invoke_from != :invoke_from"""
|
||||
arg_dict = {"tz": account.timezone, "app_id": app_model.id, "invoke_from": InvokeFrom.DEBUGGER}
|
||||
assert account.timezone is not None
|
||||
timezone = pytz.timezone(account.timezone)
|
||||
utc_timezone = pytz.utc
|
||||
|
||||
if args["start"]:
|
||||
start_datetime = datetime.strptime(args["start"], "%Y-%m-%d %H:%M")
|
||||
start_datetime = start_datetime.replace(second=0)
|
||||
|
||||
start_datetime_timezone = timezone.localize(start_datetime)
|
||||
start_datetime_utc = start_datetime_timezone.astimezone(utc_timezone)
|
||||
try:
|
||||
start_datetime_utc, end_datetime_utc = parse_time_range(args["start"], args["end"], account.timezone)
|
||||
except ValueError as e:
|
||||
abort(400, description=str(e))
|
||||
|
||||
if start_datetime_utc:
|
||||
sql_query += " AND created_at >= :start"
|
||||
arg_dict["start"] = start_datetime_utc
|
||||
|
||||
if args["end"]:
|
||||
end_datetime = datetime.strptime(args["end"], "%Y-%m-%d %H:%M")
|
||||
end_datetime = end_datetime.replace(second=0)
|
||||
|
||||
end_datetime_timezone = timezone.localize(end_datetime)
|
||||
end_datetime_utc = end_datetime_timezone.astimezone(utc_timezone)
|
||||
|
||||
if end_datetime_utc:
|
||||
sql_query += " AND created_at < :end"
|
||||
arg_dict["end"] = end_datetime_utc
|
||||
|
||||
@@ -602,26 +541,17 @@ WHERE
|
||||
AND invoke_from != :invoke_from"""
|
||||
arg_dict = {"tz": account.timezone, "app_id": app_model.id, "invoke_from": InvokeFrom.DEBUGGER}
|
||||
assert account.timezone is not None
|
||||
timezone = pytz.timezone(account.timezone)
|
||||
utc_timezone = pytz.utc
|
||||
|
||||
if args["start"]:
|
||||
start_datetime = datetime.strptime(args["start"], "%Y-%m-%d %H:%M")
|
||||
start_datetime = start_datetime.replace(second=0)
|
||||
|
||||
start_datetime_timezone = timezone.localize(start_datetime)
|
||||
start_datetime_utc = start_datetime_timezone.astimezone(utc_timezone)
|
||||
try:
|
||||
start_datetime_utc, end_datetime_utc = parse_time_range(args["start"], args["end"], account.timezone)
|
||||
except ValueError as e:
|
||||
abort(400, description=str(e))
|
||||
|
||||
if start_datetime_utc:
|
||||
sql_query += " AND created_at >= :start"
|
||||
arg_dict["start"] = start_datetime_utc
|
||||
|
||||
if args["end"]:
|
||||
end_datetime = datetime.strptime(args["end"], "%Y-%m-%d %H:%M")
|
||||
end_datetime = end_datetime.replace(second=0)
|
||||
|
||||
end_datetime_timezone = timezone.localize(end_datetime)
|
||||
end_datetime_utc = end_datetime_timezone.astimezone(utc_timezone)
|
||||
|
||||
if end_datetime_utc:
|
||||
sql_query += " AND created_at < :end"
|
||||
arg_dict["end"] = end_datetime_utc
|
||||
|
||||
|
||||
@@ -1,7 +1,4 @@
|
||||
from datetime import datetime
|
||||
|
||||
import pytz
|
||||
from flask import jsonify
|
||||
from flask import abort, jsonify
|
||||
from flask_restx import Resource, reqparse
|
||||
from sqlalchemy.orm import sessionmaker
|
||||
|
||||
@@ -9,6 +6,7 @@ from controllers.console import api, console_ns
|
||||
from controllers.console.app.wraps import get_app_model
|
||||
from controllers.console.wraps import account_initialization_required, setup_required
|
||||
from extensions.ext_database import db
|
||||
from libs.datetime_utils import parse_time_range
|
||||
from libs.helper import DatetimeString
|
||||
from libs.login import current_account_with_tenant, login_required
|
||||
from models.enums import WorkflowRunTriggeredFrom
|
||||
@@ -43,23 +41,11 @@ class WorkflowDailyRunsStatistic(Resource):
|
||||
args = parser.parse_args()
|
||||
|
||||
assert account.timezone is not None
|
||||
timezone = pytz.timezone(account.timezone)
|
||||
utc_timezone = pytz.utc
|
||||
|
||||
start_date = None
|
||||
end_date = None
|
||||
|
||||
if args["start"]:
|
||||
start_datetime = datetime.strptime(args["start"], "%Y-%m-%d %H:%M")
|
||||
start_datetime = start_datetime.replace(second=0)
|
||||
start_datetime_timezone = timezone.localize(start_datetime)
|
||||
start_date = start_datetime_timezone.astimezone(utc_timezone)
|
||||
|
||||
if args["end"]:
|
||||
end_datetime = datetime.strptime(args["end"], "%Y-%m-%d %H:%M")
|
||||
end_datetime = end_datetime.replace(second=0)
|
||||
end_datetime_timezone = timezone.localize(end_datetime)
|
||||
end_date = end_datetime_timezone.astimezone(utc_timezone)
|
||||
try:
|
||||
start_date, end_date = parse_time_range(args["start"], args["end"], account.timezone)
|
||||
except ValueError as e:
|
||||
abort(400, description=str(e))
|
||||
|
||||
response_data = self._workflow_run_repo.get_daily_runs_statistics(
|
||||
tenant_id=app_model.tenant_id,
|
||||
@@ -100,23 +86,11 @@ class WorkflowDailyTerminalsStatistic(Resource):
|
||||
args = parser.parse_args()
|
||||
|
||||
assert account.timezone is not None
|
||||
timezone = pytz.timezone(account.timezone)
|
||||
utc_timezone = pytz.utc
|
||||
|
||||
start_date = None
|
||||
end_date = None
|
||||
|
||||
if args["start"]:
|
||||
start_datetime = datetime.strptime(args["start"], "%Y-%m-%d %H:%M")
|
||||
start_datetime = start_datetime.replace(second=0)
|
||||
start_datetime_timezone = timezone.localize(start_datetime)
|
||||
start_date = start_datetime_timezone.astimezone(utc_timezone)
|
||||
|
||||
if args["end"]:
|
||||
end_datetime = datetime.strptime(args["end"], "%Y-%m-%d %H:%M")
|
||||
end_datetime = end_datetime.replace(second=0)
|
||||
end_datetime_timezone = timezone.localize(end_datetime)
|
||||
end_date = end_datetime_timezone.astimezone(utc_timezone)
|
||||
try:
|
||||
start_date, end_date = parse_time_range(args["start"], args["end"], account.timezone)
|
||||
except ValueError as e:
|
||||
abort(400, description=str(e))
|
||||
|
||||
response_data = self._workflow_run_repo.get_daily_terminals_statistics(
|
||||
tenant_id=app_model.tenant_id,
|
||||
@@ -157,23 +131,11 @@ class WorkflowDailyTokenCostStatistic(Resource):
|
||||
args = parser.parse_args()
|
||||
|
||||
assert account.timezone is not None
|
||||
timezone = pytz.timezone(account.timezone)
|
||||
utc_timezone = pytz.utc
|
||||
|
||||
start_date = None
|
||||
end_date = None
|
||||
|
||||
if args["start"]:
|
||||
start_datetime = datetime.strptime(args["start"], "%Y-%m-%d %H:%M")
|
||||
start_datetime = start_datetime.replace(second=0)
|
||||
start_datetime_timezone = timezone.localize(start_datetime)
|
||||
start_date = start_datetime_timezone.astimezone(utc_timezone)
|
||||
|
||||
if args["end"]:
|
||||
end_datetime = datetime.strptime(args["end"], "%Y-%m-%d %H:%M")
|
||||
end_datetime = end_datetime.replace(second=0)
|
||||
end_datetime_timezone = timezone.localize(end_datetime)
|
||||
end_date = end_datetime_timezone.astimezone(utc_timezone)
|
||||
try:
|
||||
start_date, end_date = parse_time_range(args["start"], args["end"], account.timezone)
|
||||
except ValueError as e:
|
||||
abort(400, description=str(e))
|
||||
|
||||
response_data = self._workflow_run_repo.get_daily_token_cost_statistics(
|
||||
tenant_id=app_model.tenant_id,
|
||||
@@ -214,23 +176,11 @@ class WorkflowAverageAppInteractionStatistic(Resource):
|
||||
args = parser.parse_args()
|
||||
|
||||
assert account.timezone is not None
|
||||
timezone = pytz.timezone(account.timezone)
|
||||
utc_timezone = pytz.utc
|
||||
|
||||
start_date = None
|
||||
end_date = None
|
||||
|
||||
if args["start"]:
|
||||
start_datetime = datetime.strptime(args["start"], "%Y-%m-%d %H:%M")
|
||||
start_datetime = start_datetime.replace(second=0)
|
||||
start_datetime_timezone = timezone.localize(start_datetime)
|
||||
start_date = start_datetime_timezone.astimezone(utc_timezone)
|
||||
|
||||
if args["end"]:
|
||||
end_datetime = datetime.strptime(args["end"], "%Y-%m-%d %H:%M")
|
||||
end_datetime = end_datetime.replace(second=0)
|
||||
end_datetime_timezone = timezone.localize(end_datetime)
|
||||
end_date = end_datetime_timezone.astimezone(utc_timezone)
|
||||
try:
|
||||
start_date, end_date = parse_time_range(args["start"], args["end"], account.timezone)
|
||||
except ValueError as e:
|
||||
abort(400, description=str(e))
|
||||
|
||||
response_data = self._workflow_run_repo.get_average_app_interaction_statistics(
|
||||
tenant_id=app_model.tenant_id,
|
||||
|
||||
@@ -2,6 +2,7 @@ from flask_restx import Resource, reqparse
|
||||
|
||||
from controllers.console import console_ns
|
||||
from controllers.console.wraps import account_initialization_required, only_edition_cloud, setup_required
|
||||
from enums.cloud_plan import CloudPlan
|
||||
from libs.login import current_account_with_tenant, login_required
|
||||
from services.billing_service import BillingService
|
||||
|
||||
@@ -16,7 +17,13 @@ class Subscription(Resource):
|
||||
current_user, current_tenant_id = current_account_with_tenant()
|
||||
parser = (
|
||||
reqparse.RequestParser()
|
||||
.add_argument("plan", type=str, required=True, location="args", choices=["professional", "team"])
|
||||
.add_argument(
|
||||
"plan",
|
||||
type=str,
|
||||
required=True,
|
||||
location="args",
|
||||
choices=[CloudPlan.PROFESSIONAL, CloudPlan.TEAM],
|
||||
)
|
||||
.add_argument("interval", type=str, required=True, location="args", choices=["month", "year"])
|
||||
)
|
||||
args = parser.parse_args()
|
||||
|
||||
@@ -746,7 +746,7 @@ class DocumentApi(DocumentResource):
|
||||
"name": document.name,
|
||||
"created_from": document.created_from,
|
||||
"created_by": document.created_by,
|
||||
"created_at": document.created_at.timestamp(),
|
||||
"created_at": int(document.created_at.timestamp()),
|
||||
"tokens": document.tokens,
|
||||
"indexing_status": document.indexing_status,
|
||||
"completed_at": int(document.completed_at.timestamp()) if document.completed_at else None,
|
||||
@@ -779,7 +779,7 @@ class DocumentApi(DocumentResource):
|
||||
"name": document.name,
|
||||
"created_from": document.created_from,
|
||||
"created_by": document.created_by,
|
||||
"created_at": document.created_at.timestamp(),
|
||||
"created_at": int(document.created_at.timestamp()),
|
||||
"tokens": document.tokens,
|
||||
"indexing_status": document.indexing_status,
|
||||
"completed_at": int(document.completed_at.timestamp()) if document.completed_at else None,
|
||||
|
||||
@@ -8,6 +8,7 @@ import services
|
||||
from configs import dify_config
|
||||
from constants import DOCUMENT_EXTENSIONS
|
||||
from controllers.common.errors import (
|
||||
BlockedFileExtensionError,
|
||||
FilenameNotExistsError,
|
||||
FileTooLargeError,
|
||||
NoFileUploadedError,
|
||||
@@ -83,6 +84,8 @@ class FileApi(Resource):
|
||||
raise FileTooLargeError(file_too_large_error.description)
|
||||
except services.errors.file.UnsupportedFileTypeError:
|
||||
raise UnsupportedFileTypeError()
|
||||
except services.errors.file.BlockedFileExtensionError as blocked_extension_error:
|
||||
raise BlockedFileExtensionError(blocked_extension_error.description)
|
||||
|
||||
return upload_file, 201
|
||||
|
||||
|
||||
@@ -21,6 +21,7 @@ from controllers.console.wraps import (
|
||||
cloud_edition_billing_resource_check,
|
||||
setup_required,
|
||||
)
|
||||
from enums.cloud_plan import CloudPlan
|
||||
from extensions.ext_database import db
|
||||
from libs.helper import TimestampField
|
||||
from libs.login import current_account_with_tenant, login_required
|
||||
@@ -83,7 +84,7 @@ class TenantListApi(Resource):
|
||||
"name": tenant.name,
|
||||
"status": tenant.status,
|
||||
"created_at": tenant.created_at,
|
||||
"plan": features.billing.subscription.plan if features.billing.enabled else "sandbox",
|
||||
"plan": features.billing.subscription.plan if features.billing.enabled else CloudPlan.SANDBOX,
|
||||
"current": tenant.id == current_tenant_id if current_tenant_id else False,
|
||||
}
|
||||
|
||||
|
||||
@@ -10,6 +10,7 @@ from flask import abort, request
|
||||
|
||||
from configs import dify_config
|
||||
from controllers.console.workspace.error import AccountNotInitializedError
|
||||
from enums.cloud_plan import CloudPlan
|
||||
from extensions.ext_database import db
|
||||
from extensions.ext_redis import redis_client
|
||||
from libs.login import current_account_with_tenant
|
||||
@@ -133,7 +134,7 @@ def cloud_edition_billing_knowledge_limit_check(resource: str):
|
||||
features = FeatureService.get_features(current_tenant_id)
|
||||
if features.billing.enabled:
|
||||
if resource == "add_segment":
|
||||
if features.billing.subscription.plan == "sandbox":
|
||||
if features.billing.subscription.plan == CloudPlan.SANDBOX:
|
||||
abort(
|
||||
403,
|
||||
"To unlock this feature and elevate your Dify experience, please upgrade to a paid plan.",
|
||||
|
||||
@@ -592,7 +592,7 @@ class DocumentApi(DatasetApiResource):
|
||||
"name": document.name,
|
||||
"created_from": document.created_from,
|
||||
"created_by": document.created_by,
|
||||
"created_at": document.created_at.timestamp(),
|
||||
"created_at": int(document.created_at.timestamp()),
|
||||
"tokens": document.tokens,
|
||||
"indexing_status": document.indexing_status,
|
||||
"completed_at": int(document.completed_at.timestamp()) if document.completed_at else None,
|
||||
@@ -625,7 +625,7 @@ class DocumentApi(DatasetApiResource):
|
||||
"name": document.name,
|
||||
"created_from": document.created_from,
|
||||
"created_by": document.created_by,
|
||||
"created_at": document.created_at.timestamp(),
|
||||
"created_at": int(document.created_at.timestamp()),
|
||||
"tokens": document.tokens,
|
||||
"indexing_status": document.indexing_status,
|
||||
"completed_at": int(document.completed_at.timestamp()) if document.completed_at else None,
|
||||
|
||||
@@ -2,6 +2,7 @@ from flask import request
|
||||
from flask_restx import marshal, reqparse
|
||||
from werkzeug.exceptions import NotFound
|
||||
|
||||
from configs import dify_config
|
||||
from controllers.service_api import service_api_ns
|
||||
from controllers.service_api.app.error import ProviderNotInitializeError
|
||||
from controllers.service_api.wraps import (
|
||||
@@ -107,6 +108,10 @@ class SegmentApi(DatasetApiResource):
|
||||
# validate args
|
||||
args = segment_create_parser.parse_args()
|
||||
if args["segments"] is not None:
|
||||
segments_limit = dify_config.DATASET_MAX_SEGMENTS_PER_REQUEST
|
||||
if segments_limit > 0 and len(args["segments"]) > segments_limit:
|
||||
raise ValueError(f"Exceeded maximum segments limit of {segments_limit}.")
|
||||
|
||||
for args_item in args["segments"]:
|
||||
SegmentService.segment_create_args_validate(args_item, document)
|
||||
segments = SegmentService.multi_create_segment(args["segments"], document, dataset)
|
||||
|
||||
@@ -13,6 +13,7 @@ from sqlalchemy import select, update
|
||||
from sqlalchemy.orm import Session
|
||||
from werkzeug.exceptions import Forbidden, NotFound, Unauthorized
|
||||
|
||||
from enums.cloud_plan import CloudPlan
|
||||
from extensions.ext_database import db
|
||||
from extensions.ext_redis import redis_client
|
||||
from libs.datetime_utils import naive_utc_now
|
||||
@@ -138,7 +139,7 @@ def cloud_edition_billing_knowledge_limit_check(resource: str, api_token_type: s
|
||||
features = FeatureService.get_features(api_token.tenant_id)
|
||||
if features.billing.enabled:
|
||||
if resource == "add_segment":
|
||||
if features.billing.subscription.plan == "sandbox":
|
||||
if features.billing.subscription.plan == CloudPlan.SANDBOX:
|
||||
raise Forbidden(
|
||||
"To unlock this feature and elevate your Dify experience, please upgrade to a paid plan."
|
||||
)
|
||||
|
||||
@@ -144,7 +144,7 @@ class AgentChatAppRunner(AppRunner):
|
||||
prompt_template_entity=app_config.prompt_template,
|
||||
inputs=dict(inputs),
|
||||
files=list(files),
|
||||
query=query or "",
|
||||
query=query,
|
||||
memory=memory,
|
||||
)
|
||||
|
||||
@@ -172,7 +172,7 @@ class AgentChatAppRunner(AppRunner):
|
||||
prompt_template_entity=app_config.prompt_template,
|
||||
inputs=dict(inputs),
|
||||
files=list(files),
|
||||
query=query or "",
|
||||
query=query,
|
||||
memory=memory,
|
||||
)
|
||||
|
||||
|
||||
@@ -79,7 +79,7 @@ class AppRunner:
|
||||
prompt_template_entity: PromptTemplateEntity,
|
||||
inputs: Mapping[str, str],
|
||||
files: Sequence["File"],
|
||||
query: str | None = None,
|
||||
query: str = "",
|
||||
context: str | None = None,
|
||||
memory: TokenBufferMemory | None = None,
|
||||
image_detail_config: ImagePromptMessageContent.DETAIL | None = None,
|
||||
@@ -105,7 +105,7 @@ class AppRunner:
|
||||
app_mode=AppMode.value_of(app_record.mode),
|
||||
prompt_template_entity=prompt_template_entity,
|
||||
inputs=inputs,
|
||||
query=query or "",
|
||||
query=query,
|
||||
files=files,
|
||||
context=context,
|
||||
memory=memory,
|
||||
|
||||
@@ -190,7 +190,7 @@ class MessageBasedAppGenerator(BaseAppGenerator):
|
||||
override_model_configs=json.dumps(override_model_configs) if override_model_configs else None,
|
||||
conversation_id=conversation.id,
|
||||
inputs=application_generate_entity.inputs,
|
||||
query=application_generate_entity.query or "",
|
||||
query=application_generate_entity.query,
|
||||
message="",
|
||||
message_tokens=0,
|
||||
message_unit_price=0,
|
||||
|
||||
@@ -40,6 +40,7 @@ from core.workflow.repositories.draft_variable_repository import DraftVariableSa
|
||||
from core.workflow.repositories.workflow_execution_repository import WorkflowExecutionRepository
|
||||
from core.workflow.repositories.workflow_node_execution_repository import WorkflowNodeExecutionRepository
|
||||
from core.workflow.variable_loader import DUMMY_VARIABLE_LOADER, VariableLoader
|
||||
from enums.cloud_plan import CloudPlan
|
||||
from extensions.ext_database import db
|
||||
from extensions.ext_redis import redis_client
|
||||
from libs.flask_utils import preserve_flask_contexts
|
||||
@@ -255,7 +256,7 @@ class PipelineGenerator(BaseAppGenerator):
|
||||
json_text = json.dumps(text)
|
||||
upload_file = FileService(db.engine).upload_text(json_text, name, user.id, dataset.tenant_id)
|
||||
features = FeatureService.get_features(dataset.tenant_id)
|
||||
if features.billing.enabled and features.billing.subscription.plan == "sandbox":
|
||||
if features.billing.enabled and features.billing.subscription.plan == CloudPlan.SANDBOX:
|
||||
tenant_pipeline_task_key = f"tenant_pipeline_task:{dataset.tenant_id}"
|
||||
tenant_self_pipeline_task_queue = f"tenant_self_pipeline_task_queue:{dataset.tenant_id}"
|
||||
|
||||
|
||||
@@ -129,7 +129,7 @@ class EasyUIBasedAppGenerateEntity(AppGenerateEntity):
|
||||
app_config: EasyUIBasedAppConfig = None # type: ignore
|
||||
model_conf: ModelConfigWithCredentialsEntity
|
||||
|
||||
query: str | None = None
|
||||
query: str = ""
|
||||
|
||||
# pydantic configs
|
||||
model_config = ConfigDict(protected_namespaces=())
|
||||
|
||||
@@ -121,7 +121,7 @@ class EasyUIBasedGenerateTaskPipeline(BasedGenerateTaskPipeline):
|
||||
if self._application_generate_entity.app_config.app_mode != AppMode.COMPLETION:
|
||||
# start generate conversation name thread
|
||||
self._conversation_name_generate_thread = self._message_cycle_manager.generate_conversation_name(
|
||||
conversation_id=self._conversation_id, query=self._application_generate_entity.query or ""
|
||||
conversation_id=self._conversation_id, query=self._application_generate_entity.query
|
||||
)
|
||||
|
||||
generator = self._wrapper_process_stream_response(trace_manager=self._application_generate_entity.trace_manager)
|
||||
|
||||
@@ -140,7 +140,27 @@ class MessageCycleManager:
|
||||
if not self._application_generate_entity.app_config.additional_features:
|
||||
raise ValueError("Additional features not found")
|
||||
if self._application_generate_entity.app_config.additional_features.show_retrieve_source:
|
||||
self._task_state.metadata.retriever_resources = event.retriever_resources
|
||||
merged_resources = [r for r in self._task_state.metadata.retriever_resources or [] if r]
|
||||
existing_ids = {(r.dataset_id, r.document_id) for r in merged_resources if r.dataset_id and r.document_id}
|
||||
|
||||
# Add new unique resources from the event
|
||||
for resource in event.retriever_resources or []:
|
||||
if not resource:
|
||||
continue
|
||||
|
||||
is_duplicate = (
|
||||
resource.dataset_id
|
||||
and resource.document_id
|
||||
and (resource.dataset_id, resource.document_id) in existing_ids
|
||||
)
|
||||
|
||||
if not is_duplicate:
|
||||
merged_resources.append(resource)
|
||||
|
||||
for i, resource in enumerate(merged_resources, 1):
|
||||
resource.position = i
|
||||
|
||||
self._task_state.metadata.retriever_resources = merged_resources
|
||||
|
||||
def message_file_to_stream_response(self, event: QueueMessageFileEvent) -> MessageFileStreamResponse | None:
|
||||
"""
|
||||
|
||||
@@ -74,6 +74,10 @@ class File(BaseModel):
|
||||
storage_key: str | None = None,
|
||||
dify_model_identity: str | None = FILE_MODEL_IDENTITY,
|
||||
url: str | None = None,
|
||||
# Legacy compatibility fields - explicitly handle known extra fields
|
||||
tool_file_id: str | None = None,
|
||||
upload_file_id: str | None = None,
|
||||
datasource_file_id: str | None = None,
|
||||
):
|
||||
super().__init__(
|
||||
id=id,
|
||||
|
||||
@@ -5,6 +5,7 @@ Tencent APM Trace Client - handles network operations, metrics, and API communic
|
||||
from __future__ import annotations
|
||||
|
||||
import importlib
|
||||
import json
|
||||
import logging
|
||||
import os
|
||||
import socket
|
||||
@@ -110,6 +111,7 @@ class TencentTraceClient:
|
||||
self.span_contexts: dict[int, trace_api.SpanContext] = {}
|
||||
|
||||
self.meter: Meter | None = None
|
||||
self.meter_provider: MeterProvider | None = None
|
||||
self.hist_llm_duration: Histogram | None = None
|
||||
self.hist_token_usage: Histogram | None = None
|
||||
self.hist_time_to_first_token: Histogram | None = None
|
||||
@@ -119,7 +121,6 @@ class TencentTraceClient:
|
||||
|
||||
# Metrics exporter and instruments
|
||||
try:
|
||||
from opentelemetry import metrics
|
||||
from opentelemetry.sdk.metrics import Histogram, MeterProvider
|
||||
from opentelemetry.sdk.metrics.export import AggregationTemporality, PeriodicExportingMetricReader
|
||||
|
||||
@@ -202,9 +203,11 @@ class TencentTraceClient:
|
||||
)
|
||||
|
||||
if metric_reader is not None:
|
||||
# Use instance-level MeterProvider instead of global to support config changes
|
||||
# without worker restart. Each TencentTraceClient manages its own MeterProvider.
|
||||
provider = MeterProvider(resource=self.resource, metric_readers=[metric_reader])
|
||||
metrics.set_meter_provider(provider)
|
||||
self.meter = metrics.get_meter("dify-sdk", dify_config.project.version)
|
||||
self.meter_provider = provider
|
||||
self.meter = provider.get_meter("dify-sdk", dify_config.project.version)
|
||||
|
||||
# LLM operation duration histogram
|
||||
self.hist_llm_duration = self.meter.create_histogram(
|
||||
@@ -244,6 +247,7 @@ class TencentTraceClient:
|
||||
self.metric_reader = metric_reader
|
||||
else:
|
||||
self.meter = None
|
||||
self.meter_provider = None
|
||||
self.hist_llm_duration = None
|
||||
self.hist_token_usage = None
|
||||
self.hist_time_to_first_token = None
|
||||
@@ -253,6 +257,7 @@ class TencentTraceClient:
|
||||
except Exception:
|
||||
logger.exception("[Tencent APM] Metrics initialization failed; metrics disabled")
|
||||
self.meter = None
|
||||
self.meter_provider = None
|
||||
self.hist_llm_duration = None
|
||||
self.hist_token_usage = None
|
||||
self.hist_time_to_first_token = None
|
||||
@@ -279,6 +284,14 @@ class TencentTraceClient:
|
||||
if attributes:
|
||||
for k, v in attributes.items():
|
||||
attrs[k] = str(v) if not isinstance(v, (str, int, float, bool)) else v # type: ignore[assignment]
|
||||
|
||||
logger.info(
|
||||
"[Tencent Metrics] Metric: %s | Value: %.4f | Attributes: %s",
|
||||
LLM_OPERATION_DURATION,
|
||||
latency_seconds,
|
||||
json.dumps(attrs, ensure_ascii=False),
|
||||
)
|
||||
|
||||
self.hist_llm_duration.record(latency_seconds, attrs) # type: ignore[attr-defined]
|
||||
except Exception:
|
||||
logger.debug("[Tencent APM] Failed to record LLM duration", exc_info=True)
|
||||
@@ -317,6 +330,13 @@ class TencentTraceClient:
|
||||
"server.address": server_address,
|
||||
}
|
||||
|
||||
logger.info(
|
||||
"[Tencent Metrics] Metric: %s | Value: %d | Attributes: %s",
|
||||
GEN_AI_TOKEN_USAGE,
|
||||
token_count,
|
||||
json.dumps(attributes, ensure_ascii=False),
|
||||
)
|
||||
|
||||
self.hist_token_usage.record(token_count, attributes) # type: ignore[attr-defined]
|
||||
except Exception:
|
||||
logger.debug("[Tencent APM] Failed to record token usage", exc_info=True)
|
||||
@@ -344,6 +364,13 @@ class TencentTraceClient:
|
||||
"stream": "true",
|
||||
}
|
||||
|
||||
logger.info(
|
||||
"[Tencent Metrics] Metric: %s | Value: %.4f | Attributes: %s",
|
||||
GEN_AI_SERVER_TIME_TO_FIRST_TOKEN,
|
||||
ttft_seconds,
|
||||
json.dumps(attributes, ensure_ascii=False),
|
||||
)
|
||||
|
||||
self.hist_time_to_first_token.record(ttft_seconds, attributes) # type: ignore[attr-defined]
|
||||
except Exception:
|
||||
logger.debug("[Tencent APM] Failed to record time to first token", exc_info=True)
|
||||
@@ -371,6 +398,13 @@ class TencentTraceClient:
|
||||
"stream": "true",
|
||||
}
|
||||
|
||||
logger.info(
|
||||
"[Tencent Metrics] Metric: %s | Value: %.4f | Attributes: %s",
|
||||
GEN_AI_STREAMING_TIME_TO_GENERATE,
|
||||
ttg_seconds,
|
||||
json.dumps(attributes, ensure_ascii=False),
|
||||
)
|
||||
|
||||
self.hist_time_to_generate.record(ttg_seconds, attributes) # type: ignore[attr-defined]
|
||||
except Exception:
|
||||
logger.debug("[Tencent APM] Failed to record time to generate", exc_info=True)
|
||||
@@ -390,6 +424,14 @@ class TencentTraceClient:
|
||||
if attributes:
|
||||
for k, v in attributes.items():
|
||||
attrs[k] = str(v) if not isinstance(v, (str, int, float, bool)) else v # type: ignore[assignment]
|
||||
|
||||
logger.info(
|
||||
"[Tencent Metrics] Metric: %s | Value: %.4f | Attributes: %s",
|
||||
GEN_AI_TRACE_DURATION,
|
||||
duration_seconds,
|
||||
json.dumps(attrs, ensure_ascii=False),
|
||||
)
|
||||
|
||||
self.hist_trace_duration.record(duration_seconds, attrs) # type: ignore[attr-defined]
|
||||
except Exception:
|
||||
logger.debug("[Tencent APM] Failed to record trace duration", exc_info=True)
|
||||
@@ -474,11 +516,19 @@ class TencentTraceClient:
|
||||
|
||||
if self.tracer_provider:
|
||||
self.tracer_provider.shutdown()
|
||||
|
||||
# Shutdown instance-level meter provider
|
||||
if self.meter_provider is not None:
|
||||
try:
|
||||
self.meter_provider.shutdown() # type: ignore[attr-defined]
|
||||
except Exception:
|
||||
logger.debug("[Tencent APM] Error shutting down meter provider", exc_info=True)
|
||||
|
||||
if self.metric_reader is not None:
|
||||
try:
|
||||
self.metric_reader.shutdown() # type: ignore[attr-defined]
|
||||
except Exception:
|
||||
pass
|
||||
logger.debug("[Tencent APM] Error shutting down metric reader", exc_info=True)
|
||||
|
||||
except Exception:
|
||||
logger.exception("[Tencent APM] Error during client shutdown")
|
||||
|
||||
@@ -228,29 +228,38 @@ class ToolEngine:
|
||||
"""
|
||||
Handle tool response
|
||||
"""
|
||||
result = ""
|
||||
parts: list[str] = []
|
||||
json_parts: list[str] = []
|
||||
|
||||
for response in tool_response:
|
||||
if response.type == ToolInvokeMessage.MessageType.TEXT:
|
||||
result += cast(ToolInvokeMessage.TextMessage, response.message).text
|
||||
parts.append(cast(ToolInvokeMessage.TextMessage, response.message).text)
|
||||
elif response.type == ToolInvokeMessage.MessageType.LINK:
|
||||
result += (
|
||||
parts.append(
|
||||
f"result link: {cast(ToolInvokeMessage.TextMessage, response.message).text}."
|
||||
+ " please tell user to check it."
|
||||
)
|
||||
elif response.type in {ToolInvokeMessage.MessageType.IMAGE_LINK, ToolInvokeMessage.MessageType.IMAGE}:
|
||||
result += (
|
||||
parts.append(
|
||||
"image has been created and sent to user already, "
|
||||
+ "you do not need to create it, just tell the user to check it now."
|
||||
)
|
||||
elif response.type == ToolInvokeMessage.MessageType.JSON:
|
||||
result += json.dumps(
|
||||
safe_json_value(cast(ToolInvokeMessage.JsonMessage, response.message).json_object),
|
||||
ensure_ascii=False,
|
||||
json_parts.append(
|
||||
json.dumps(
|
||||
safe_json_value(cast(ToolInvokeMessage.JsonMessage, response.message).json_object),
|
||||
ensure_ascii=False,
|
||||
)
|
||||
)
|
||||
else:
|
||||
result += str(response.message)
|
||||
parts.append(str(response.message))
|
||||
|
||||
return result
|
||||
# Add JSON parts, avoiding duplicates from text parts.
|
||||
if json_parts:
|
||||
existing_parts = set(parts)
|
||||
parts.extend(p for p in json_parts if p not in existing_parts)
|
||||
|
||||
return "".join(parts)
|
||||
|
||||
@staticmethod
|
||||
def _extract_tool_response_binary_and_text(
|
||||
|
||||
@@ -0,0 +1,15 @@
|
||||
from enum import StrEnum, auto
|
||||
|
||||
|
||||
class CloudPlan(StrEnum):
|
||||
"""
|
||||
Enum representing user plan types in the cloud platform.
|
||||
|
||||
SANDBOX: Free/default plan with limited features
|
||||
PROFESSIONAL: Professional paid plan
|
||||
TEAM: Team collaboration paid plan
|
||||
"""
|
||||
|
||||
SANDBOX = auto()
|
||||
PROFESSIONAL = auto()
|
||||
TEAM = auto()
|
||||
@@ -2,6 +2,8 @@ import abc
|
||||
import datetime
|
||||
from typing import Protocol
|
||||
|
||||
import pytz
|
||||
|
||||
|
||||
class _NowFunction(Protocol):
|
||||
@abc.abstractmethod
|
||||
@@ -20,3 +22,51 @@ def naive_utc_now() -> datetime.datetime:
|
||||
representing current UTC time.
|
||||
"""
|
||||
return _now_func(datetime.UTC).replace(tzinfo=None)
|
||||
|
||||
|
||||
def parse_time_range(
|
||||
start: str | None, end: str | None, tzname: str
|
||||
) -> tuple[datetime.datetime | None, datetime.datetime | None]:
|
||||
"""
|
||||
Parse time range strings and convert to UTC datetime objects.
|
||||
Handles DST ambiguity and non-existent times gracefully.
|
||||
|
||||
Args:
|
||||
start: Start time string (YYYY-MM-DD HH:MM)
|
||||
end: End time string (YYYY-MM-DD HH:MM)
|
||||
tzname: Timezone name
|
||||
|
||||
Returns:
|
||||
tuple: (start_datetime_utc, end_datetime_utc)
|
||||
|
||||
Raises:
|
||||
ValueError: When time range is invalid or start > end
|
||||
"""
|
||||
tz = pytz.timezone(tzname)
|
||||
utc = pytz.utc
|
||||
|
||||
def _parse(time_str: str | None, label: str) -> datetime.datetime | None:
|
||||
if not time_str:
|
||||
return None
|
||||
|
||||
try:
|
||||
dt = datetime.datetime.strptime(time_str, "%Y-%m-%d %H:%M").replace(second=0)
|
||||
except ValueError as e:
|
||||
raise ValueError(f"Invalid {label} time format: {e}")
|
||||
|
||||
try:
|
||||
return tz.localize(dt, is_dst=None).astimezone(utc)
|
||||
except pytz.AmbiguousTimeError:
|
||||
return tz.localize(dt, is_dst=False).astimezone(utc)
|
||||
except pytz.NonExistentTimeError:
|
||||
dt += datetime.timedelta(hours=1)
|
||||
return tz.localize(dt, is_dst=None).astimezone(utc)
|
||||
|
||||
start_dt = _parse(start, "start")
|
||||
end_dt = _parse(end, "end")
|
||||
|
||||
# Range validation
|
||||
if start_dt and end_dt and start_dt > end_dt:
|
||||
raise ValueError("start must be earlier than or equal to end")
|
||||
|
||||
return start_dt, end_dt
|
||||
|
||||
+41
-30
@@ -3,6 +3,7 @@ import re
|
||||
import uuid
|
||||
from collections.abc import Mapping
|
||||
from datetime import datetime
|
||||
from decimal import Decimal
|
||||
from enum import StrEnum, auto
|
||||
from typing import TYPE_CHECKING, Any, Literal, Optional, cast
|
||||
|
||||
@@ -914,34 +915,40 @@ class Message(Base):
|
||||
)
|
||||
|
||||
id: Mapped[str] = mapped_column(StringUUID, server_default=sa.text("uuid_generate_v4()"))
|
||||
app_id = mapped_column(StringUUID, nullable=False)
|
||||
model_provider = mapped_column(String(255), nullable=True)
|
||||
model_id = mapped_column(String(255), nullable=True)
|
||||
override_model_configs = mapped_column(sa.Text)
|
||||
conversation_id = mapped_column(StringUUID, sa.ForeignKey("conversations.id"), nullable=False)
|
||||
app_id: Mapped[str] = mapped_column(StringUUID, nullable=False)
|
||||
model_provider: Mapped[str | None] = mapped_column(String(255), nullable=True)
|
||||
model_id: Mapped[str | None] = mapped_column(String(255), nullable=True)
|
||||
override_model_configs: Mapped[str | None] = mapped_column(sa.Text)
|
||||
conversation_id: Mapped[str] = mapped_column(StringUUID, sa.ForeignKey("conversations.id"), nullable=False)
|
||||
_inputs: Mapped[dict[str, Any]] = mapped_column("inputs", sa.JSON)
|
||||
query: Mapped[str] = mapped_column(sa.Text, nullable=False)
|
||||
message = mapped_column(sa.JSON, nullable=False)
|
||||
message: Mapped[dict[str, Any]] = mapped_column(sa.JSON, nullable=False)
|
||||
message_tokens: Mapped[int] = mapped_column(sa.Integer, nullable=False, server_default=sa.text("0"))
|
||||
message_unit_price = mapped_column(sa.Numeric(10, 4), nullable=False)
|
||||
message_price_unit = mapped_column(sa.Numeric(10, 7), nullable=False, server_default=sa.text("0.001"))
|
||||
message_unit_price: Mapped[Decimal] = mapped_column(sa.Numeric(10, 4), nullable=False)
|
||||
message_price_unit: Mapped[Decimal] = mapped_column(
|
||||
sa.Numeric(10, 7), nullable=False, server_default=sa.text("0.001")
|
||||
)
|
||||
answer: Mapped[str] = mapped_column(sa.Text, nullable=False)
|
||||
answer_tokens: Mapped[int] = mapped_column(sa.Integer, nullable=False, server_default=sa.text("0"))
|
||||
answer_unit_price = mapped_column(sa.Numeric(10, 4), nullable=False)
|
||||
answer_price_unit = mapped_column(sa.Numeric(10, 7), nullable=False, server_default=sa.text("0.001"))
|
||||
parent_message_id = mapped_column(StringUUID, nullable=True)
|
||||
provider_response_latency = mapped_column(sa.Float, nullable=False, server_default=sa.text("0"))
|
||||
total_price = mapped_column(sa.Numeric(10, 7))
|
||||
answer_unit_price: Mapped[Decimal] = mapped_column(sa.Numeric(10, 4), nullable=False)
|
||||
answer_price_unit: Mapped[Decimal] = mapped_column(
|
||||
sa.Numeric(10, 7), nullable=False, server_default=sa.text("0.001")
|
||||
)
|
||||
parent_message_id: Mapped[str | None] = mapped_column(StringUUID, nullable=True)
|
||||
provider_response_latency: Mapped[float] = mapped_column(sa.Float, nullable=False, server_default=sa.text("0"))
|
||||
total_price: Mapped[Decimal | None] = mapped_column(sa.Numeric(10, 7))
|
||||
currency: Mapped[str] = mapped_column(String(255), nullable=False)
|
||||
status = mapped_column(String(255), nullable=False, server_default=sa.text("'normal'::character varying"))
|
||||
error = mapped_column(sa.Text)
|
||||
message_metadata = mapped_column(sa.Text)
|
||||
status: Mapped[str] = mapped_column(
|
||||
String(255), nullable=False, server_default=sa.text("'normal'::character varying")
|
||||
)
|
||||
error: Mapped[str | None] = mapped_column(sa.Text)
|
||||
message_metadata: Mapped[str | None] = mapped_column(sa.Text)
|
||||
invoke_from: Mapped[str | None] = mapped_column(String(255), nullable=True)
|
||||
from_source: Mapped[str] = mapped_column(String(255), nullable=False)
|
||||
from_end_user_id: Mapped[str | None] = mapped_column(StringUUID)
|
||||
from_account_id: Mapped[str | None] = mapped_column(StringUUID)
|
||||
created_at: Mapped[datetime] = mapped_column(sa.DateTime, server_default=func.current_timestamp())
|
||||
updated_at = mapped_column(sa.DateTime, nullable=False, server_default=func.current_timestamp())
|
||||
updated_at: Mapped[datetime] = mapped_column(sa.DateTime, nullable=False, server_default=func.current_timestamp())
|
||||
agent_based: Mapped[bool] = mapped_column(sa.Boolean, nullable=False, server_default=sa.text("false"))
|
||||
workflow_run_id: Mapped[str | None] = mapped_column(StringUUID)
|
||||
app_mode: Mapped[str | None] = mapped_column(String(255), nullable=True)
|
||||
@@ -1212,9 +1219,13 @@ class Message(Base):
|
||||
@property
|
||||
def workflow_run(self):
|
||||
if self.workflow_run_id:
|
||||
from .workflow import WorkflowRun
|
||||
from sqlalchemy.orm import sessionmaker
|
||||
|
||||
return db.session.query(WorkflowRun).where(WorkflowRun.id == self.workflow_run_id).first()
|
||||
from repositories.factory import DifyAPIRepositoryFactory
|
||||
|
||||
session_maker = sessionmaker(bind=db.engine, expire_on_commit=False)
|
||||
repo = DifyAPIRepositoryFactory.create_api_workflow_run_repository(session_maker)
|
||||
return repo.get_workflow_run_by_id_without_tenant(run_id=self.workflow_run_id)
|
||||
|
||||
return None
|
||||
|
||||
@@ -1275,20 +1286,20 @@ class MessageFeedback(Base):
|
||||
sa.Index("message_feedback_conversation_idx", "conversation_id", "from_source", "rating"),
|
||||
)
|
||||
|
||||
id = mapped_column(StringUUID, server_default=sa.text("uuid_generate_v4()"))
|
||||
app_id = mapped_column(StringUUID, nullable=False)
|
||||
conversation_id = mapped_column(StringUUID, nullable=False)
|
||||
message_id = mapped_column(StringUUID, nullable=False)
|
||||
id: Mapped[str] = mapped_column(StringUUID, server_default=sa.text("uuid_generate_v4()"))
|
||||
app_id: Mapped[str] = mapped_column(StringUUID, nullable=False)
|
||||
conversation_id: Mapped[str] = mapped_column(StringUUID, nullable=False)
|
||||
message_id: Mapped[str] = mapped_column(StringUUID, nullable=False)
|
||||
rating: Mapped[str] = mapped_column(String(255), nullable=False)
|
||||
content = mapped_column(sa.Text)
|
||||
content: Mapped[str | None] = mapped_column(sa.Text)
|
||||
from_source: Mapped[str] = mapped_column(String(255), nullable=False)
|
||||
from_end_user_id = mapped_column(StringUUID)
|
||||
from_account_id = mapped_column(StringUUID)
|
||||
created_at = mapped_column(sa.DateTime, nullable=False, server_default=func.current_timestamp())
|
||||
updated_at = mapped_column(sa.DateTime, nullable=False, server_default=func.current_timestamp())
|
||||
from_end_user_id: Mapped[str | None] = mapped_column(StringUUID)
|
||||
from_account_id: Mapped[str | None] = mapped_column(StringUUID)
|
||||
created_at: Mapped[datetime] = mapped_column(sa.DateTime, nullable=False, server_default=func.current_timestamp())
|
||||
updated_at: Mapped[datetime] = mapped_column(sa.DateTime, nullable=False, server_default=func.current_timestamp())
|
||||
|
||||
@property
|
||||
def from_account(self):
|
||||
def from_account(self) -> Account | None:
|
||||
account = db.session.query(Account).where(Account.id == self.from_account_id).first()
|
||||
return account
|
||||
|
||||
@@ -1767,7 +1778,7 @@ class MessageAgentThought(Base):
|
||||
answer_price_unit = mapped_column(sa.Numeric(10, 7), nullable=False, server_default=sa.text("0.001"))
|
||||
tokens: Mapped[int | None] = mapped_column(sa.Integer, nullable=True)
|
||||
total_price = mapped_column(sa.Numeric, nullable=True)
|
||||
currency = mapped_column(String, nullable=True)
|
||||
currency: Mapped[str | None] = mapped_column()
|
||||
latency: Mapped[float | None] = mapped_column(sa.Float, nullable=True)
|
||||
created_by_role = mapped_column(String, nullable=False)
|
||||
created_by = mapped_column(StringUUID, nullable=False)
|
||||
|
||||
+10
-1
@@ -1058,7 +1058,16 @@ class WorkflowAppLog(Base):
|
||||
|
||||
@property
|
||||
def workflow_run(self):
|
||||
return db.session.get(WorkflowRun, self.workflow_run_id)
|
||||
if self.workflow_run_id:
|
||||
from sqlalchemy.orm import sessionmaker
|
||||
|
||||
from repositories.factory import DifyAPIRepositoryFactory
|
||||
|
||||
session_maker = sessionmaker(bind=db.engine, expire_on_commit=False)
|
||||
repo = DifyAPIRepositoryFactory.create_api_workflow_run_repository(session_maker)
|
||||
return repo.get_workflow_run_by_id_without_tenant(run_id=self.workflow_run_id)
|
||||
|
||||
return None
|
||||
|
||||
@property
|
||||
def created_by_account(self):
|
||||
|
||||
+3
-2
@@ -37,6 +37,7 @@ dependencies = [
|
||||
"numpy~=1.26.4",
|
||||
"openpyxl~=3.1.5",
|
||||
"opik~=1.8.72",
|
||||
"litellm==1.77.1", # Pinned to avoid madoka dependency issue
|
||||
"opentelemetry-api==1.27.0",
|
||||
"opentelemetry-distro==0.48b0",
|
||||
"opentelemetry-exporter-otlp==1.27.0",
|
||||
@@ -209,9 +210,9 @@ vdb = [
|
||||
"pgvector==0.2.5",
|
||||
"pymilvus~=2.5.0",
|
||||
"pymochow==2.2.9",
|
||||
"pyobvector~=0.2.15",
|
||||
"pyobvector~=0.2.17",
|
||||
"qdrant-client==1.9.0",
|
||||
"tablestore==6.2.0",
|
||||
"tablestore==6.3.7",
|
||||
"tcvectordb~=1.6.4",
|
||||
"tidb-vector==0.0.9",
|
||||
"upstash-vector==0.6.0",
|
||||
|
||||
@@ -7,6 +7,7 @@ from sqlalchemy.exc import SQLAlchemyError
|
||||
|
||||
import app
|
||||
from configs import dify_config
|
||||
from enums.cloud_plan import CloudPlan
|
||||
from extensions.ext_database import db
|
||||
from extensions.ext_redis import redis_client
|
||||
from models.model import (
|
||||
@@ -63,7 +64,7 @@ def clean_messages():
|
||||
plan = features.billing.subscription.plan
|
||||
else:
|
||||
plan = plan_cache.decode()
|
||||
if plan == "sandbox":
|
||||
if plan == CloudPlan.SANDBOX:
|
||||
# clean related message
|
||||
db.session.query(MessageFeedback).where(MessageFeedback.message_id == message.id).delete(
|
||||
synchronize_session=False
|
||||
|
||||
@@ -9,6 +9,7 @@ from sqlalchemy.exc import SQLAlchemyError
|
||||
import app
|
||||
from configs import dify_config
|
||||
from core.rag.index_processor.index_processor_factory import IndexProcessorFactory
|
||||
from enums.cloud_plan import CloudPlan
|
||||
from extensions.ext_database import db
|
||||
from extensions.ext_redis import redis_client
|
||||
from models.dataset import Dataset, DatasetAutoDisableLog, DatasetQuery, Document
|
||||
@@ -35,7 +36,7 @@ def clean_unused_datasets_task():
|
||||
},
|
||||
{
|
||||
"clean_day": datetime.datetime.now() - datetime.timedelta(days=dify_config.PLAN_PRO_CLEAN_DAY_SETTING),
|
||||
"plan_filter": "sandbox",
|
||||
"plan_filter": CloudPlan.SANDBOX,
|
||||
"add_logs": False,
|
||||
},
|
||||
]
|
||||
|
||||
@@ -7,6 +7,7 @@ from sqlalchemy import select
|
||||
|
||||
import app
|
||||
from configs import dify_config
|
||||
from enums.cloud_plan import CloudPlan
|
||||
from extensions.ext_database import db
|
||||
from extensions.ext_mail import mail
|
||||
from libs.email_i18n import EmailType, get_email_i18n_service
|
||||
@@ -45,7 +46,7 @@ def mail_clean_document_notify_task():
|
||||
for tenant_id, tenant_dataset_auto_disable_logs in dataset_auto_disable_logs_map.items():
|
||||
features = FeatureService.get_features(tenant_id)
|
||||
plan = features.billing.subscription.plan
|
||||
if plan != "sandbox":
|
||||
if plan != CloudPlan.SANDBOX:
|
||||
knowledge_details = []
|
||||
# check tenant
|
||||
tenant = db.session.query(Tenant).where(Tenant.id == tenant_id).first()
|
||||
|
||||
@@ -32,41 +32,48 @@ class AppAnnotationService:
|
||||
|
||||
if not app:
|
||||
raise NotFound("App not found")
|
||||
|
||||
answer = args.get("answer") or args.get("content")
|
||||
if answer is None:
|
||||
raise ValueError("Either 'answer' or 'content' must be provided")
|
||||
|
||||
if args.get("message_id"):
|
||||
message_id = str(args["message_id"])
|
||||
# get message info
|
||||
message = db.session.query(Message).where(Message.id == message_id, Message.app_id == app.id).first()
|
||||
|
||||
if not message:
|
||||
raise NotFound("Message Not Exists.")
|
||||
|
||||
question = args.get("question") or message.query or ""
|
||||
|
||||
annotation: MessageAnnotation | None = message.annotation
|
||||
# save the message annotation
|
||||
if annotation:
|
||||
annotation.content = args["answer"]
|
||||
annotation.question = args["question"]
|
||||
annotation.content = answer
|
||||
annotation.question = question
|
||||
else:
|
||||
annotation = MessageAnnotation(
|
||||
app_id=app.id,
|
||||
conversation_id=message.conversation_id,
|
||||
message_id=message.id,
|
||||
content=args["answer"],
|
||||
question=args["question"],
|
||||
content=answer,
|
||||
question=question,
|
||||
account_id=current_user.id,
|
||||
)
|
||||
else:
|
||||
annotation = MessageAnnotation(
|
||||
app_id=app.id, content=args["answer"], question=args["question"], account_id=current_user.id
|
||||
)
|
||||
question = args.get("question")
|
||||
if not question:
|
||||
raise ValueError("'question' is required when 'message_id' is not provided")
|
||||
|
||||
annotation = MessageAnnotation(app_id=app.id, content=answer, question=question, account_id=current_user.id)
|
||||
db.session.add(annotation)
|
||||
db.session.commit()
|
||||
# if annotation reply is enabled , add annotation to index
|
||||
|
||||
annotation_setting = db.session.query(AppAnnotationSetting).where(AppAnnotationSetting.app_id == app_id).first()
|
||||
assert current_tenant_id is not None
|
||||
if annotation_setting:
|
||||
add_annotation_to_index_task.delay(
|
||||
annotation.id,
|
||||
args["question"],
|
||||
annotation.question,
|
||||
current_tenant_id,
|
||||
app_id,
|
||||
annotation_setting.collection_binding_id,
|
||||
|
||||
@@ -10,6 +10,7 @@ from core.app.apps.completion.app_generator import CompletionAppGenerator
|
||||
from core.app.apps.workflow.app_generator import WorkflowAppGenerator
|
||||
from core.app.entities.app_invoke_entities import InvokeFrom
|
||||
from core.app.features.rate_limiting import RateLimit
|
||||
from enums.cloud_plan import CloudPlan
|
||||
from libs.helper import RateLimiter
|
||||
from models.model import Account, App, AppMode, EndUser
|
||||
from models.workflow import Workflow
|
||||
@@ -44,7 +45,7 @@ class AppGenerateService:
|
||||
if dify_config.BILLING_ENABLED:
|
||||
# check if it's free plan
|
||||
limit_info = BillingService.get_info(app_model.tenant_id)
|
||||
if limit_info["subscription"]["plan"] == "sandbox":
|
||||
if limit_info["subscription"]["plan"] == CloudPlan.SANDBOX:
|
||||
if cls.system_rate_limiter.is_rate_limited(app_model.tenant_id):
|
||||
raise InvokeRateLimitError(
|
||||
"Rate limit exceeded, please upgrade your plan "
|
||||
|
||||
@@ -4,6 +4,7 @@ from typing import Literal
|
||||
import httpx
|
||||
from tenacity import retry, retry_if_exception_type, stop_before_delay, wait_fixed
|
||||
|
||||
from enums.cloud_plan import CloudPlan
|
||||
from extensions.ext_database import db
|
||||
from extensions.ext_redis import redis_client
|
||||
from libs.helper import RateLimiter
|
||||
@@ -31,7 +32,7 @@ class BillingService:
|
||||
|
||||
return {
|
||||
"limit": knowledge_rate_limit.get("limit", 10),
|
||||
"subscription_plan": knowledge_rate_limit.get("subscription_plan", "sandbox"),
|
||||
"subscription_plan": knowledge_rate_limit.get("subscription_plan", CloudPlan.SANDBOX),
|
||||
}
|
||||
|
||||
@classmethod
|
||||
|
||||
@@ -11,6 +11,7 @@ from sqlalchemy.orm import Session, sessionmaker
|
||||
|
||||
from configs import dify_config
|
||||
from core.model_runtime.utils.encoders import jsonable_encoder
|
||||
from enums.cloud_plan import CloudPlan
|
||||
from extensions.ext_database import db
|
||||
from extensions.ext_storage import storage
|
||||
from models.account import Tenant
|
||||
@@ -358,7 +359,7 @@ class ClearFreePlanTenantExpiredLogs:
|
||||
try:
|
||||
if (
|
||||
not dify_config.BILLING_ENABLED
|
||||
or BillingService.get_info(tenant_id)["subscription"]["plan"] == "sandbox"
|
||||
or BillingService.get_info(tenant_id)["subscription"]["plan"] == CloudPlan.SANDBOX
|
||||
):
|
||||
# only process sandbox tenant
|
||||
cls.process_tenant(flask_app, tenant_id, days, batch)
|
||||
|
||||
@@ -22,6 +22,7 @@ from core.model_runtime.entities.model_entities import ModelType
|
||||
from core.rag.index_processor.constant.built_in_field import BuiltInField
|
||||
from core.rag.index_processor.constant.index_type import IndexType
|
||||
from core.rag.retrieval.retrieval_methods import RetrievalMethod
|
||||
from enums.cloud_plan import CloudPlan
|
||||
from events.dataset_event import dataset_was_deleted
|
||||
from events.document_event import document_was_deleted
|
||||
from extensions.ext_database import db
|
||||
@@ -1042,7 +1043,7 @@ class DatasetService:
|
||||
assert isinstance(current_user, Account)
|
||||
assert current_user.current_tenant_id is not None
|
||||
features = FeatureService.get_features(current_user.current_tenant_id)
|
||||
if not features.billing.enabled or features.billing.subscription.plan == "sandbox":
|
||||
if not features.billing.enabled or features.billing.subscription.plan == CloudPlan.SANDBOX:
|
||||
return {
|
||||
"document_ids": [],
|
||||
"count": 0,
|
||||
@@ -1438,7 +1439,7 @@ class DocumentService:
|
||||
count = len(website_info.urls)
|
||||
batch_upload_limit = int(dify_config.BATCH_UPLOAD_LIMIT)
|
||||
|
||||
if features.billing.subscription.plan == "sandbox" and count > 1:
|
||||
if features.billing.subscription.plan == CloudPlan.SANDBOX and count > 1:
|
||||
raise ValueError("Your current plan does not support batch upload, please upgrade your plan.")
|
||||
if count > batch_upload_limit:
|
||||
raise ValueError(f"You have reached the batch upload limit of {batch_upload_limit}.")
|
||||
@@ -1727,7 +1728,7 @@ class DocumentService:
|
||||
# count = len(website_info.urls) # type: ignore
|
||||
# batch_upload_limit = int(dify_config.BATCH_UPLOAD_LIMIT)
|
||||
|
||||
# if features.billing.subscription.plan == "sandbox" and count > 1:
|
||||
# if features.billing.subscription.plan == CloudPlan.SANDBOX and count > 1:
|
||||
# raise ValueError("Your current plan does not support batch upload, please upgrade your plan.")
|
||||
# if count > batch_upload_limit:
|
||||
# raise ValueError(f"You have reached the batch upload limit of {batch_upload_limit}.")
|
||||
@@ -2196,7 +2197,7 @@ class DocumentService:
|
||||
website_info = knowledge_config.data_source.info_list.website_info_list
|
||||
if website_info:
|
||||
count = len(website_info.urls)
|
||||
if features.billing.subscription.plan == "sandbox" and count > 1:
|
||||
if features.billing.subscription.plan == CloudPlan.SANDBOX and count > 1:
|
||||
raise ValueError("Your current plan does not support batch upload, please upgrade your plan.")
|
||||
batch_upload_limit = int(dify_config.BATCH_UPLOAD_LIMIT)
|
||||
if count > batch_upload_limit:
|
||||
|
||||
@@ -11,3 +11,7 @@ class FileTooLargeError(BaseServiceError):
|
||||
|
||||
class UnsupportedFileTypeError(BaseServiceError):
|
||||
pass
|
||||
|
||||
|
||||
class BlockedFileExtensionError(BaseServiceError):
|
||||
description = "File extension '{extension}' is not allowed for security reasons"
|
||||
|
||||
@@ -3,12 +3,13 @@ from enum import StrEnum
|
||||
from pydantic import BaseModel, ConfigDict, Field
|
||||
|
||||
from configs import dify_config
|
||||
from enums.cloud_plan import CloudPlan
|
||||
from services.billing_service import BillingService
|
||||
from services.enterprise.enterprise_service import EnterpriseService
|
||||
|
||||
|
||||
class SubscriptionModel(BaseModel):
|
||||
plan: str = "sandbox"
|
||||
plan: str = CloudPlan.SANDBOX
|
||||
interval: str = ""
|
||||
|
||||
|
||||
@@ -186,7 +187,7 @@ class FeatureService:
|
||||
knowledge_rate_limit.enabled = True
|
||||
limit_info = BillingService.get_knowledge_rate_limit(tenant_id)
|
||||
knowledge_rate_limit.limit = limit_info.get("limit", 10)
|
||||
knowledge_rate_limit.subscription_plan = limit_info.get("subscription_plan", "sandbox")
|
||||
knowledge_rate_limit.subscription_plan = limit_info.get("subscription_plan", CloudPlan.SANDBOX)
|
||||
return knowledge_rate_limit
|
||||
|
||||
@classmethod
|
||||
@@ -240,7 +241,7 @@ class FeatureService:
|
||||
features.billing.subscription.interval = billing_info["subscription"]["interval"]
|
||||
features.education.activated = billing_info["subscription"].get("education", False)
|
||||
|
||||
if features.billing.subscription.plan != "sandbox":
|
||||
if features.billing.subscription.plan != CloudPlan.SANDBOX:
|
||||
features.webapp_copyright_enabled = True
|
||||
else:
|
||||
features.is_allow_transfer_workspace = False
|
||||
|
||||
@@ -23,7 +23,7 @@ from models import Account
|
||||
from models.enums import CreatorUserRole
|
||||
from models.model import EndUser, UploadFile
|
||||
|
||||
from .errors.file import FileTooLargeError, UnsupportedFileTypeError
|
||||
from .errors.file import BlockedFileExtensionError, FileTooLargeError, UnsupportedFileTypeError
|
||||
|
||||
PREVIEW_WORDS_LIMIT = 3000
|
||||
|
||||
@@ -59,6 +59,10 @@ class FileService:
|
||||
if len(filename) > 200:
|
||||
filename = filename.split(".")[0][:200] + "." + extension
|
||||
|
||||
# check if extension is in blacklist
|
||||
if extension and extension in dify_config.UPLOAD_FILE_EXTENSION_BLACKLIST:
|
||||
raise BlockedFileExtensionError(f"File extension '.{extension}' is not allowed for security reasons")
|
||||
|
||||
if source == "datasets" and extension not in DOCUMENT_EXTENSIONS:
|
||||
raise UnsupportedFileTypeError()
|
||||
|
||||
|
||||
@@ -6,6 +6,7 @@ from celery import shared_task
|
||||
|
||||
from configs import dify_config
|
||||
from core.indexing_runner import DocumentIsPausedError, IndexingRunner
|
||||
from enums.cloud_plan import CloudPlan
|
||||
from extensions.ext_database import db
|
||||
from libs.datetime_utils import naive_utc_now
|
||||
from models.dataset import Dataset, Document
|
||||
@@ -38,7 +39,7 @@ def document_indexing_task(dataset_id: str, document_ids: list):
|
||||
vector_space = features.vector_space
|
||||
count = len(document_ids)
|
||||
batch_upload_limit = int(dify_config.BATCH_UPLOAD_LIMIT)
|
||||
if features.billing.subscription.plan == "sandbox" and count > 1:
|
||||
if features.billing.subscription.plan == CloudPlan.SANDBOX and count > 1:
|
||||
raise ValueError("Your current plan does not support batch upload, please upgrade your plan.")
|
||||
if count > batch_upload_limit:
|
||||
raise ValueError(f"You have reached the batch upload limit of {batch_upload_limit}.")
|
||||
|
||||
@@ -8,6 +8,7 @@ from sqlalchemy import select
|
||||
from configs import dify_config
|
||||
from core.indexing_runner import DocumentIsPausedError, IndexingRunner
|
||||
from core.rag.index_processor.index_processor_factory import IndexProcessorFactory
|
||||
from enums.cloud_plan import CloudPlan
|
||||
from extensions.ext_database import db
|
||||
from libs.datetime_utils import naive_utc_now
|
||||
from models.dataset import Dataset, Document, DocumentSegment
|
||||
@@ -41,7 +42,7 @@ def duplicate_document_indexing_task(dataset_id: str, document_ids: list):
|
||||
if features.billing.enabled:
|
||||
vector_space = features.vector_space
|
||||
count = len(document_ids)
|
||||
if features.billing.subscription.plan == "sandbox" and count > 1:
|
||||
if features.billing.subscription.plan == CloudPlan.SANDBOX and count > 1:
|
||||
raise ValueError("Your current plan does not support batch upload, please upgrade your plan.")
|
||||
batch_upload_limit = int(dify_config.BATCH_UPLOAD_LIMIT)
|
||||
if count > batch_upload_limit:
|
||||
|
||||
@@ -5,6 +5,7 @@ import pytest
|
||||
from faker import Faker
|
||||
|
||||
from core.app.entities.app_invoke_entities import InvokeFrom
|
||||
from enums.cloud_plan import CloudPlan
|
||||
from models.model import EndUser
|
||||
from models.workflow import Workflow
|
||||
from services.app_generate_service import AppGenerateService
|
||||
@@ -32,7 +33,7 @@ class TestAppGenerateService:
|
||||
patch("services.app_generate_service.dify_config") as mock_dify_config,
|
||||
):
|
||||
# Setup default mock returns for billing service
|
||||
mock_billing_service.get_info.return_value = {"subscription": {"plan": "sandbox"}}
|
||||
mock_billing_service.get_info.return_value = {"subscription": {"plan": CloudPlan.SANDBOX}}
|
||||
|
||||
# Setup default mock returns for workflow service
|
||||
mock_workflow_service_instance = mock_workflow_service.return_value
|
||||
@@ -430,7 +431,7 @@ class TestAppGenerateService:
|
||||
|
||||
# Setup billing service mock for sandbox plan
|
||||
mock_external_service_dependencies["billing_service"].get_info.return_value = {
|
||||
"subscription": {"plan": "sandbox"}
|
||||
"subscription": {"plan": CloudPlan.SANDBOX}
|
||||
}
|
||||
|
||||
# Set BILLING_ENABLED to True for this test
|
||||
@@ -461,7 +462,7 @@ class TestAppGenerateService:
|
||||
|
||||
# Setup billing service mock for sandbox plan
|
||||
mock_external_service_dependencies["billing_service"].get_info.return_value = {
|
||||
"subscription": {"plan": "sandbox"}
|
||||
"subscription": {"plan": CloudPlan.SANDBOX}
|
||||
}
|
||||
|
||||
# Set BILLING_ENABLED to True for this test
|
||||
|
||||
@@ -3,6 +3,7 @@ from unittest.mock import patch
|
||||
import pytest
|
||||
from faker import Faker
|
||||
|
||||
from enums.cloud_plan import CloudPlan
|
||||
from services.feature_service import FeatureModel, FeatureService, KnowledgeRateLimitModel, SystemFeatureModel
|
||||
|
||||
|
||||
@@ -173,7 +174,7 @@ class TestFeatureService:
|
||||
# Set mock return value inside the patch context
|
||||
mock_external_service_dependencies["billing_service"].get_info.return_value = {
|
||||
"enabled": True,
|
||||
"subscription": {"plan": "sandbox", "interval": "monthly", "education": False},
|
||||
"subscription": {"plan": CloudPlan.SANDBOX, "interval": "monthly", "education": False},
|
||||
"members": {"size": 1, "limit": 3},
|
||||
"apps": {"size": 1, "limit": 5},
|
||||
"vector_space": {"size": 1, "limit": 2},
|
||||
@@ -189,7 +190,7 @@ class TestFeatureService:
|
||||
result = FeatureService.get_features(tenant_id)
|
||||
|
||||
# Assert: Verify sandbox-specific limitations
|
||||
assert result.billing.subscription.plan == "sandbox"
|
||||
assert result.billing.subscription.plan == CloudPlan.SANDBOX
|
||||
assert result.education.activated is False
|
||||
|
||||
# Verify sandbox limitations
|
||||
|
||||
@@ -11,7 +11,7 @@ from configs import dify_config
|
||||
from models import Account, Tenant
|
||||
from models.enums import CreatorUserRole
|
||||
from models.model import EndUser, UploadFile
|
||||
from services.errors.file import FileTooLargeError, UnsupportedFileTypeError
|
||||
from services.errors.file import BlockedFileExtensionError, FileTooLargeError, UnsupportedFileTypeError
|
||||
from services.file_service import FileService
|
||||
|
||||
|
||||
@@ -943,3 +943,150 @@ class TestFileService:
|
||||
|
||||
# Should have the signed URL when source_url is empty
|
||||
assert upload_file2.source_url == "https://example.com/signed-url"
|
||||
|
||||
# Test file extension blacklist
|
||||
def test_upload_file_blocked_extension(
|
||||
self, db_session_with_containers, engine, mock_external_service_dependencies
|
||||
):
|
||||
"""
|
||||
Test file upload with blocked extension.
|
||||
"""
|
||||
fake = Faker()
|
||||
account = self._create_test_account(db_session_with_containers, mock_external_service_dependencies)
|
||||
|
||||
# Mock blacklist configuration by patching the inner field
|
||||
with patch.object(dify_config, "inner_UPLOAD_FILE_EXTENSION_BLACKLIST", "exe,bat,sh"):
|
||||
filename = "malware.exe"
|
||||
content = b"test content"
|
||||
mimetype = "application/x-msdownload"
|
||||
|
||||
with pytest.raises(BlockedFileExtensionError):
|
||||
FileService(engine).upload_file(
|
||||
filename=filename,
|
||||
content=content,
|
||||
mimetype=mimetype,
|
||||
user=account,
|
||||
)
|
||||
|
||||
def test_upload_file_blocked_extension_case_insensitive(
|
||||
self, db_session_with_containers, engine, mock_external_service_dependencies
|
||||
):
|
||||
"""
|
||||
Test file upload with blocked extension (case insensitive).
|
||||
"""
|
||||
fake = Faker()
|
||||
account = self._create_test_account(db_session_with_containers, mock_external_service_dependencies)
|
||||
|
||||
# Mock blacklist configuration by patching the inner field
|
||||
with patch.object(dify_config, "inner_UPLOAD_FILE_EXTENSION_BLACKLIST", "exe,bat"):
|
||||
# Test with uppercase extension
|
||||
filename = "malware.EXE"
|
||||
content = b"test content"
|
||||
mimetype = "application/x-msdownload"
|
||||
|
||||
with pytest.raises(BlockedFileExtensionError):
|
||||
FileService(engine).upload_file(
|
||||
filename=filename,
|
||||
content=content,
|
||||
mimetype=mimetype,
|
||||
user=account,
|
||||
)
|
||||
|
||||
def test_upload_file_not_in_blacklist(self, db_session_with_containers, engine, mock_external_service_dependencies):
|
||||
"""
|
||||
Test file upload with extension not in blacklist.
|
||||
"""
|
||||
fake = Faker()
|
||||
account = self._create_test_account(db_session_with_containers, mock_external_service_dependencies)
|
||||
|
||||
# Mock blacklist configuration by patching the inner field
|
||||
with patch.object(dify_config, "inner_UPLOAD_FILE_EXTENSION_BLACKLIST", "exe,bat,sh"):
|
||||
filename = "document.pdf"
|
||||
content = b"test content"
|
||||
mimetype = "application/pdf"
|
||||
|
||||
upload_file = FileService(engine).upload_file(
|
||||
filename=filename,
|
||||
content=content,
|
||||
mimetype=mimetype,
|
||||
user=account,
|
||||
)
|
||||
|
||||
assert upload_file is not None
|
||||
assert upload_file.name == filename
|
||||
assert upload_file.extension == "pdf"
|
||||
|
||||
def test_upload_file_empty_blacklist(self, db_session_with_containers, engine, mock_external_service_dependencies):
|
||||
"""
|
||||
Test file upload with empty blacklist (default behavior).
|
||||
"""
|
||||
fake = Faker()
|
||||
account = self._create_test_account(db_session_with_containers, mock_external_service_dependencies)
|
||||
|
||||
# Mock empty blacklist configuration by patching the inner field
|
||||
with patch.object(dify_config, "inner_UPLOAD_FILE_EXTENSION_BLACKLIST", ""):
|
||||
# Should allow all file types when blacklist is empty
|
||||
filename = "script.sh"
|
||||
content = b"#!/bin/bash\necho test"
|
||||
mimetype = "application/x-sh"
|
||||
|
||||
upload_file = FileService(engine).upload_file(
|
||||
filename=filename,
|
||||
content=content,
|
||||
mimetype=mimetype,
|
||||
user=account,
|
||||
)
|
||||
|
||||
assert upload_file is not None
|
||||
assert upload_file.extension == "sh"
|
||||
|
||||
def test_upload_file_multiple_blocked_extensions(
|
||||
self, db_session_with_containers, engine, mock_external_service_dependencies
|
||||
):
|
||||
"""
|
||||
Test file upload with multiple blocked extensions.
|
||||
"""
|
||||
fake = Faker()
|
||||
account = self._create_test_account(db_session_with_containers, mock_external_service_dependencies)
|
||||
|
||||
# Mock blacklist with multiple extensions by patching the inner field
|
||||
blacklist_str = "exe,bat,cmd,com,scr,vbs,ps1,msi,dll"
|
||||
with patch.object(dify_config, "inner_UPLOAD_FILE_EXTENSION_BLACKLIST", blacklist_str):
|
||||
for ext in blacklist_str.split(","):
|
||||
filename = f"malware.{ext}"
|
||||
content = b"test content"
|
||||
mimetype = "application/octet-stream"
|
||||
|
||||
with pytest.raises(BlockedFileExtensionError):
|
||||
FileService(engine).upload_file(
|
||||
filename=filename,
|
||||
content=content,
|
||||
mimetype=mimetype,
|
||||
user=account,
|
||||
)
|
||||
|
||||
def test_upload_file_no_extension_with_blacklist(
|
||||
self, db_session_with_containers, engine, mock_external_service_dependencies
|
||||
):
|
||||
"""
|
||||
Test file upload with no extension when blacklist is configured.
|
||||
"""
|
||||
fake = Faker()
|
||||
account = self._create_test_account(db_session_with_containers, mock_external_service_dependencies)
|
||||
|
||||
# Mock blacklist configuration by patching the inner field
|
||||
with patch.object(dify_config, "inner_UPLOAD_FILE_EXTENSION_BLACKLIST", "exe,bat"):
|
||||
# Files with no extension should not be blocked
|
||||
filename = "README"
|
||||
content = b"test content"
|
||||
mimetype = "text/plain"
|
||||
|
||||
upload_file = FileService(engine).upload_file(
|
||||
filename=filename,
|
||||
content=content,
|
||||
mimetype=mimetype,
|
||||
user=account,
|
||||
)
|
||||
|
||||
assert upload_file is not None
|
||||
assert upload_file.extension == ""
|
||||
|
||||
@@ -3,6 +3,7 @@ from unittest.mock import MagicMock, patch
|
||||
import pytest
|
||||
from faker import Faker
|
||||
|
||||
from enums.cloud_plan import CloudPlan
|
||||
from extensions.ext_database import db
|
||||
from models import Account, Tenant, TenantAccountJoin, TenantAccountRole
|
||||
from models.dataset import Dataset, Document
|
||||
@@ -197,7 +198,7 @@ class TestDocumentIndexingTask:
|
||||
# Configure billing features
|
||||
mock_external_service_dependencies["features"].billing.enabled = billing_enabled
|
||||
if billing_enabled:
|
||||
mock_external_service_dependencies["features"].billing.subscription.plan = "sandbox"
|
||||
mock_external_service_dependencies["features"].billing.subscription.plan = CloudPlan.SANDBOX
|
||||
mock_external_service_dependencies["features"].vector_space.limit = 100
|
||||
mock_external_service_dependencies["features"].vector_space.size = 50
|
||||
|
||||
@@ -442,7 +443,7 @@ class TestDocumentIndexingTask:
|
||||
)
|
||||
|
||||
# Configure sandbox plan with batch limit
|
||||
mock_external_service_dependencies["features"].billing.subscription.plan = "sandbox"
|
||||
mock_external_service_dependencies["features"].billing.subscription.plan = CloudPlan.SANDBOX
|
||||
|
||||
# Create more documents than sandbox plan allows (limit is 1)
|
||||
fake = Faker()
|
||||
|
||||
@@ -23,3 +23,32 @@ def test_file():
|
||||
assert file.extension == ".png"
|
||||
assert file.mime_type == "image/png"
|
||||
assert file.size == 67
|
||||
|
||||
|
||||
def test_file_model_validate_with_legacy_fields():
|
||||
"""Test `File` model can handle data containing compatibility fields."""
|
||||
data = {
|
||||
"id": "test-file",
|
||||
"tenant_id": "test-tenant-id",
|
||||
"type": "image",
|
||||
"transfer_method": "tool_file",
|
||||
"related_id": "test-related-id",
|
||||
"filename": "image.png",
|
||||
"extension": ".png",
|
||||
"mime_type": "image/png",
|
||||
"size": 67,
|
||||
"storage_key": "test-storage-key",
|
||||
"url": "https://example.com/image.png",
|
||||
# Extra legacy fields
|
||||
"tool_file_id": "tool-file-123",
|
||||
"upload_file_id": "upload-file-456",
|
||||
"datasource_file_id": "datasource-file-789",
|
||||
}
|
||||
|
||||
# Should be able to create `File` object without raising an exception
|
||||
file = File.model_validate(data)
|
||||
|
||||
# The File object does not have tool_file_id, upload_file_id, or datasource_file_id as attributes.
|
||||
# Instead, check it does not expose unrecognized legacy fields (should raise on getattr).
|
||||
for legacy_field in ("tool_file_id", "upload_file_id", "datasource_file_id"):
|
||||
assert not hasattr(file, legacy_field)
|
||||
|
||||
@@ -1,8 +1,10 @@
|
||||
import datetime
|
||||
from unittest.mock import patch
|
||||
|
||||
import pytest
|
||||
import pytz
|
||||
|
||||
from libs.datetime_utils import naive_utc_now
|
||||
from libs.datetime_utils import naive_utc_now, parse_time_range
|
||||
|
||||
|
||||
def test_naive_utc_now(monkeypatch: pytest.MonkeyPatch):
|
||||
@@ -20,3 +22,247 @@ def test_naive_utc_now(monkeypatch: pytest.MonkeyPatch):
|
||||
naive_time = naive_datetime.time()
|
||||
utc_time = tz_aware_utc_now.time()
|
||||
assert naive_time == utc_time
|
||||
|
||||
|
||||
class TestParseTimeRange:
|
||||
"""Test cases for parse_time_range function."""
|
||||
|
||||
def test_parse_time_range_basic(self):
|
||||
"""Test basic time range parsing."""
|
||||
start, end = parse_time_range("2024-01-01 10:00", "2024-01-01 18:00", "UTC")
|
||||
|
||||
assert start is not None
|
||||
assert end is not None
|
||||
assert start < end
|
||||
assert start.tzinfo == pytz.UTC
|
||||
assert end.tzinfo == pytz.UTC
|
||||
|
||||
def test_parse_time_range_start_only(self):
|
||||
"""Test parsing with only start time."""
|
||||
start, end = parse_time_range("2024-01-01 10:00", None, "UTC")
|
||||
|
||||
assert start is not None
|
||||
assert end is None
|
||||
assert start.tzinfo == pytz.UTC
|
||||
|
||||
def test_parse_time_range_end_only(self):
|
||||
"""Test parsing with only end time."""
|
||||
start, end = parse_time_range(None, "2024-01-01 18:00", "UTC")
|
||||
|
||||
assert start is None
|
||||
assert end is not None
|
||||
assert end.tzinfo == pytz.UTC
|
||||
|
||||
def test_parse_time_range_both_none(self):
|
||||
"""Test parsing with both times None."""
|
||||
start, end = parse_time_range(None, None, "UTC")
|
||||
|
||||
assert start is None
|
||||
assert end is None
|
||||
|
||||
def test_parse_time_range_different_timezones(self):
|
||||
"""Test parsing with different timezones."""
|
||||
# Test with US/Eastern timezone
|
||||
start, end = parse_time_range("2024-01-01 10:00", "2024-01-01 18:00", "US/Eastern")
|
||||
|
||||
assert start is not None
|
||||
assert end is not None
|
||||
assert start.tzinfo == pytz.UTC
|
||||
assert end.tzinfo == pytz.UTC
|
||||
# Verify the times are correctly converted to UTC
|
||||
assert start.hour == 15 # 10 AM EST = 3 PM UTC (in January)
|
||||
assert end.hour == 23 # 6 PM EST = 11 PM UTC (in January)
|
||||
|
||||
def test_parse_time_range_invalid_start_format(self):
|
||||
"""Test parsing with invalid start time format."""
|
||||
with pytest.raises(ValueError, match="time data.*does not match format"):
|
||||
parse_time_range("invalid-date", "2024-01-01 18:00", "UTC")
|
||||
|
||||
def test_parse_time_range_invalid_end_format(self):
|
||||
"""Test parsing with invalid end time format."""
|
||||
with pytest.raises(ValueError, match="time data.*does not match format"):
|
||||
parse_time_range("2024-01-01 10:00", "invalid-date", "UTC")
|
||||
|
||||
def test_parse_time_range_invalid_timezone(self):
|
||||
"""Test parsing with invalid timezone."""
|
||||
with pytest.raises(pytz.exceptions.UnknownTimeZoneError):
|
||||
parse_time_range("2024-01-01 10:00", "2024-01-01 18:00", "Invalid/Timezone")
|
||||
|
||||
def test_parse_time_range_start_after_end(self):
|
||||
"""Test parsing with start time after end time."""
|
||||
with pytest.raises(ValueError, match="start must be earlier than or equal to end"):
|
||||
parse_time_range("2024-01-01 18:00", "2024-01-01 10:00", "UTC")
|
||||
|
||||
def test_parse_time_range_start_equals_end(self):
|
||||
"""Test parsing with start time equal to end time."""
|
||||
start, end = parse_time_range("2024-01-01 10:00", "2024-01-01 10:00", "UTC")
|
||||
|
||||
assert start is not None
|
||||
assert end is not None
|
||||
assert start == end
|
||||
|
||||
def test_parse_time_range_dst_ambiguous_time(self):
|
||||
"""Test parsing during DST ambiguous time (fall back)."""
|
||||
# This test simulates DST fall back where 2:30 AM occurs twice
|
||||
with patch("pytz.timezone") as mock_timezone:
|
||||
# Mock timezone that raises AmbiguousTimeError
|
||||
mock_tz = mock_timezone.return_value
|
||||
|
||||
# Create a mock datetime object for the return value
|
||||
mock_dt = datetime.datetime(2024, 1, 1, 10, 0, 0)
|
||||
mock_utc_dt = mock_dt.replace(tzinfo=pytz.UTC)
|
||||
|
||||
# Create a proper mock for the localized datetime
|
||||
from unittest.mock import MagicMock
|
||||
|
||||
mock_localized_dt = MagicMock()
|
||||
mock_localized_dt.astimezone.return_value = mock_utc_dt
|
||||
|
||||
# Set up side effects: first call raises exception, second call succeeds
|
||||
mock_tz.localize.side_effect = [
|
||||
pytz.AmbiguousTimeError("Ambiguous time"), # First call for start
|
||||
mock_localized_dt, # Second call for start (with is_dst=False)
|
||||
pytz.AmbiguousTimeError("Ambiguous time"), # First call for end
|
||||
mock_localized_dt, # Second call for end (with is_dst=False)
|
||||
]
|
||||
|
||||
start, end = parse_time_range("2024-01-01 10:00", "2024-01-01 18:00", "US/Eastern")
|
||||
|
||||
# Should use is_dst=False for ambiguous times
|
||||
assert mock_tz.localize.call_count == 4 # 2 calls per time (first fails, second succeeds)
|
||||
assert start is not None
|
||||
assert end is not None
|
||||
|
||||
def test_parse_time_range_dst_nonexistent_time(self):
|
||||
"""Test parsing during DST nonexistent time (spring forward)."""
|
||||
with patch("pytz.timezone") as mock_timezone:
|
||||
# Mock timezone that raises NonExistentTimeError
|
||||
mock_tz = mock_timezone.return_value
|
||||
|
||||
# Create a mock datetime object for the return value
|
||||
mock_dt = datetime.datetime(2024, 1, 1, 10, 0, 0)
|
||||
mock_utc_dt = mock_dt.replace(tzinfo=pytz.UTC)
|
||||
|
||||
# Create a proper mock for the localized datetime
|
||||
from unittest.mock import MagicMock
|
||||
|
||||
mock_localized_dt = MagicMock()
|
||||
mock_localized_dt.astimezone.return_value = mock_utc_dt
|
||||
|
||||
# Set up side effects: first call raises exception, second call succeeds
|
||||
mock_tz.localize.side_effect = [
|
||||
pytz.NonExistentTimeError("Non-existent time"), # First call for start
|
||||
mock_localized_dt, # Second call for start (with adjusted time)
|
||||
pytz.NonExistentTimeError("Non-existent time"), # First call for end
|
||||
mock_localized_dt, # Second call for end (with adjusted time)
|
||||
]
|
||||
|
||||
start, end = parse_time_range("2024-01-01 10:00", "2024-01-01 18:00", "US/Eastern")
|
||||
|
||||
# Should adjust time forward by 1 hour for nonexistent times
|
||||
assert mock_tz.localize.call_count == 4 # 2 calls per time (first fails, second succeeds)
|
||||
assert start is not None
|
||||
assert end is not None
|
||||
|
||||
def test_parse_time_range_edge_cases(self):
|
||||
"""Test edge cases for time parsing."""
|
||||
# Test with midnight times
|
||||
start, end = parse_time_range("2024-01-01 00:00", "2024-01-01 23:59", "UTC")
|
||||
assert start is not None
|
||||
assert end is not None
|
||||
assert start.hour == 0
|
||||
assert start.minute == 0
|
||||
assert end.hour == 23
|
||||
assert end.minute == 59
|
||||
|
||||
def test_parse_time_range_different_dates(self):
|
||||
"""Test parsing with different dates."""
|
||||
start, end = parse_time_range("2024-01-01 10:00", "2024-01-02 10:00", "UTC")
|
||||
assert start is not None
|
||||
assert end is not None
|
||||
assert start.date() != end.date()
|
||||
assert (end - start).days == 1
|
||||
|
||||
def test_parse_time_range_seconds_handling(self):
|
||||
"""Test that seconds are properly set to 0."""
|
||||
start, end = parse_time_range("2024-01-01 10:30", "2024-01-01 18:45", "UTC")
|
||||
assert start is not None
|
||||
assert end is not None
|
||||
assert start.second == 0
|
||||
assert end.second == 0
|
||||
|
||||
def test_parse_time_range_timezone_conversion_accuracy(self):
|
||||
"""Test accurate timezone conversion."""
|
||||
# Test with a known timezone conversion
|
||||
start, end = parse_time_range("2024-01-01 12:00", "2024-01-01 12:00", "Asia/Tokyo")
|
||||
|
||||
assert start is not None
|
||||
assert end is not None
|
||||
assert start.tzinfo == pytz.UTC
|
||||
assert end.tzinfo == pytz.UTC
|
||||
# Tokyo is UTC+9, so 12:00 JST = 03:00 UTC
|
||||
assert start.hour == 3
|
||||
assert end.hour == 3
|
||||
|
||||
def test_parse_time_range_summer_time(self):
|
||||
"""Test parsing during summer time (DST)."""
|
||||
# Test with US/Eastern during summer (EDT = UTC-4)
|
||||
start, end = parse_time_range("2024-07-01 12:00", "2024-07-01 12:00", "US/Eastern")
|
||||
|
||||
assert start is not None
|
||||
assert end is not None
|
||||
assert start.tzinfo == pytz.UTC
|
||||
assert end.tzinfo == pytz.UTC
|
||||
# 12:00 EDT = 16:00 UTC
|
||||
assert start.hour == 16
|
||||
assert end.hour == 16
|
||||
|
||||
def test_parse_time_range_winter_time(self):
|
||||
"""Test parsing during winter time (standard time)."""
|
||||
# Test with US/Eastern during winter (EST = UTC-5)
|
||||
start, end = parse_time_range("2024-01-01 12:00", "2024-01-01 12:00", "US/Eastern")
|
||||
|
||||
assert start is not None
|
||||
assert end is not None
|
||||
assert start.tzinfo == pytz.UTC
|
||||
assert end.tzinfo == pytz.UTC
|
||||
# 12:00 EST = 17:00 UTC
|
||||
assert start.hour == 17
|
||||
assert end.hour == 17
|
||||
|
||||
def test_parse_time_range_empty_strings(self):
|
||||
"""Test parsing with empty strings."""
|
||||
# Empty strings are treated as None, so they should not raise errors
|
||||
start, end = parse_time_range("", "2024-01-01 18:00", "UTC")
|
||||
assert start is None
|
||||
assert end is not None
|
||||
|
||||
start, end = parse_time_range("2024-01-01 10:00", "", "UTC")
|
||||
assert start is not None
|
||||
assert end is None
|
||||
|
||||
def test_parse_time_range_malformed_datetime(self):
|
||||
"""Test parsing with malformed datetime strings."""
|
||||
with pytest.raises(ValueError, match="time data.*does not match format"):
|
||||
parse_time_range("2024-13-01 10:00", "2024-01-01 18:00", "UTC")
|
||||
|
||||
with pytest.raises(ValueError, match="time data.*does not match format"):
|
||||
parse_time_range("2024-01-01 10:00", "2024-01-32 18:00", "UTC")
|
||||
|
||||
def test_parse_time_range_very_long_time_range(self):
|
||||
"""Test parsing with very long time range."""
|
||||
start, end = parse_time_range("2020-01-01 00:00", "2030-12-31 23:59", "UTC")
|
||||
|
||||
assert start is not None
|
||||
assert end is not None
|
||||
assert start < end
|
||||
assert (end - start).days > 3000 # More than 8 years
|
||||
|
||||
def test_parse_time_range_negative_timezone(self):
|
||||
"""Test parsing with negative timezone offset."""
|
||||
start, end = parse_time_range("2024-01-01 12:00", "2024-01-01 12:00", "America/New_York")
|
||||
|
||||
assert start is not None
|
||||
assert end is not None
|
||||
assert start.tzinfo == pytz.UTC
|
||||
assert end.tzinfo == pytz.UTC
|
||||
|
||||
Generated
+17
-33
@@ -99,14 +99,14 @@ wheels = [
|
||||
|
||||
[[package]]
|
||||
name = "aiomysql"
|
||||
version = "0.2.0"
|
||||
version = "0.3.2"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "pymysql" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/67/76/2c5b55e4406a1957ffdfd933a94c2517455291c97d2b81cec6813754791a/aiomysql-0.2.0.tar.gz", hash = "sha256:558b9c26d580d08b8c5fd1be23c5231ce3aeff2dadad989540fee740253deb67", size = 114706 }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/29/e0/302aeffe8d90853556f47f3106b89c16cc2ec2a4d269bdfd82e3f4ae12cc/aiomysql-0.3.2.tar.gz", hash = "sha256:72d15ef5cfc34c03468eb41e1b90adb9fd9347b0b589114bd23ead569a02ac1a", size = 108311 }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/42/87/c982ee8b333c85b8ae16306387d703a1fcdfc81a2f3f15a24820ab1a512d/aiomysql-0.2.0-py3-none-any.whl", hash = "sha256:b7c26da0daf23a5ec5e0b133c03d20657276e4eae9b73e040b72787f6f6ade0a", size = 44215 },
|
||||
{ url = "https://files.pythonhosted.org/packages/4c/af/aae0153c3e28712adaf462328f6c7a3c196a1c1c27b491de4377dd3e6b52/aiomysql-0.3.2-py3-none-any.whl", hash = "sha256:c82c5ba04137d7afd5c693a258bea8ead2aad77101668044143a991e04632eb2", size = 71834 },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
@@ -1335,6 +1335,7 @@ dependencies = [
|
||||
{ name = "json-repair" },
|
||||
{ name = "langfuse" },
|
||||
{ name = "langsmith" },
|
||||
{ name = "litellm" },
|
||||
{ name = "markdown" },
|
||||
{ name = "numpy" },
|
||||
{ name = "openpyxl" },
|
||||
@@ -1526,6 +1527,7 @@ requires-dist = [
|
||||
{ name = "json-repair", specifier = ">=0.41.1" },
|
||||
{ name = "langfuse", specifier = "~=2.51.3" },
|
||||
{ name = "langsmith", specifier = "~=0.1.77" },
|
||||
{ name = "litellm", specifier = "==1.77.1" },
|
||||
{ name = "markdown", specifier = "~=3.5.1" },
|
||||
{ name = "numpy", specifier = "~=1.26.4" },
|
||||
{ name = "openpyxl", specifier = "~=3.1.5" },
|
||||
@@ -1673,9 +1675,9 @@ vdb = [
|
||||
{ name = "pgvector", specifier = "==0.2.5" },
|
||||
{ name = "pymilvus", specifier = "~=2.5.0" },
|
||||
{ name = "pymochow", specifier = "==2.2.9" },
|
||||
{ name = "pyobvector", specifier = "~=0.2.15" },
|
||||
{ name = "pyobvector", specifier = "~=0.2.17" },
|
||||
{ name = "qdrant-client", specifier = "==1.9.0" },
|
||||
{ name = "tablestore", specifier = "==6.2.0" },
|
||||
{ name = "tablestore", specifier = "==6.3.7" },
|
||||
{ name = "tcvectordb", specifier = "~=1.6.4" },
|
||||
{ name = "tidb-vector", specifier = "==0.0.9" },
|
||||
{ name = "upstash-vector", specifier = "==0.6.0" },
|
||||
@@ -3094,7 +3096,7 @@ wheels = [
|
||||
|
||||
[[package]]
|
||||
name = "litellm"
|
||||
version = "1.77.4"
|
||||
version = "1.77.1"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "aiohttp" },
|
||||
@@ -3105,15 +3107,14 @@ dependencies = [
|
||||
{ name = "jinja2" },
|
||||
{ name = "jsonschema" },
|
||||
{ name = "openai" },
|
||||
{ name = "pondpond" },
|
||||
{ name = "pydantic" },
|
||||
{ name = "python-dotenv" },
|
||||
{ name = "tiktoken" },
|
||||
{ name = "tokenizers" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/ab/b7/0d3c6dbcff3064238d123f90ae96764a85352f3f5caab6695a55007fd019/litellm-1.77.4.tar.gz", hash = "sha256:ce652e10ecf5b36767bfdf58e53b2802e22c3de383b03554e6ee1a4a66fa743d", size = 10330773 }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/8c/65/71fe4851709fa4a612e41b80001a9ad803fea979d21b90970093fd65eded/litellm-1.77.1.tar.gz", hash = "sha256:76bab5203115efb9588244e5bafbfc07a800a239be75d8dc6b1b9d17394c6418", size = 10275745 }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/3c/32/90f8587818d146d604ed6eec95f96378363fda06b14817399cc68853383e/litellm-1.77.4-py3-none-any.whl", hash = "sha256:66c2bb776f1e19ceddfa977a2bbf7f05e6f26c4b1fec8b2093bd171d842701b8", size = 9138493 },
|
||||
{ url = "https://files.pythonhosted.org/packages/bb/dc/ff4f119cd4d783742c9648a03e0ba5c2b52fc385b2ae9f0d32acf3a78241/litellm-1.77.1-py3-none-any.whl", hash = "sha256:407761dc3c35fbcd41462d3fe65dd3ed70aac705f37cde318006c18940f695a0", size = 9067070 },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
@@ -3215,12 +3216,6 @@ wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/6c/e1/0686c91738f3e6c2e1a243e0fdd4371667c4d2e5009b0a3605806c2aa020/lz4-4.4.4-cp312-cp312-win_arm64.whl", hash = "sha256:2f4f2965c98ab254feddf6b5072854a6935adab7bc81412ec4fe238f07b85f62", size = 89736 },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "madoka"
|
||||
version = "0.7.1"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/da/eb/95288b1c4aa541eb296a6271e3f8c7ece03b78923ac47dbe95d2287d9f5e/madoka-0.7.1.tar.gz", hash = "sha256:e258baa84fc0a3764365993b8bf5e1b065383a6ca8c9f862fb3e3e709843fae7", size = 81413 }
|
||||
|
||||
[[package]]
|
||||
name = "mako"
|
||||
version = "1.3.10"
|
||||
@@ -4415,18 +4410,6 @@ wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/cd/f6/d1efedc0f9506e47699616e896d8efe39e8f0b6a7d1d590c3e97455ecf4a/polyfile_weave-0.5.7-py3-none-any.whl", hash = "sha256:880454788bc383408bf19eefd6d1c49a18b965d90c99bccb58f4da65870c82dd", size = 1655397 },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "pondpond"
|
||||
version = "1.4.1"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "madoka" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/a6/9b/8411458ca8ce8b5b9b135e4a19823f1caf958ca9985883db104323492982/pondpond-1.4.1.tar.gz", hash = "sha256:8afa34b869d1434d21dd2ec12644abc3b1733fcda8fcf355300338a13a79bb7b", size = 15237 }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/c4/d4/f18d6985157cc68f76469480182cbee2a03a45858456955acf57f9dcbb4c/pondpond-1.4.1-py3-none-any.whl", hash = "sha256:641028ead4e8018ca6de1220c660ddd6d6fbf62a60e72f410655dd0451d82880", size = 14498 },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "portalocker"
|
||||
version = "2.10.1"
|
||||
@@ -4846,7 +4829,7 @@ wheels = [
|
||||
|
||||
[[package]]
|
||||
name = "pyobvector"
|
||||
version = "0.2.16"
|
||||
version = "0.2.17"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "aiomysql" },
|
||||
@@ -4856,9 +4839,9 @@ dependencies = [
|
||||
{ name = "sqlalchemy" },
|
||||
{ name = "sqlglot" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/b4/c1/a418b1e10627d3b9d54c7bed460d90bd44c9e9c20be801d6606e9fa3fe01/pyobvector-0.2.16.tar.gz", hash = "sha256:de44588e75de616dee7a9cc5d5c016aeb3390a90fe52f99d9b8ad2476294f6c2", size = 39602 }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/fa/a5/88bd908c6fb9c42544f4d114cbb65eeba4424077c2b0a4255b9052a622c9/pyobvector-0.2.17.tar.gz", hash = "sha256:9af080bbd9593aff86bb3d65db2869c548fcbcededefa6efbe7ce66252815f8c", size = 42476 }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/83/7b/c103cca858de87476db5e7c7f0f386b429c3057a7291155c70560b15d951/pyobvector-0.2.16-py3-none-any.whl", hash = "sha256:0710272e5c807a6d0bdeee96972cdc9fdca04fc4b40c2d1260b08ff8b79190ef", size = 52664 },
|
||||
{ url = "https://files.pythonhosted.org/packages/ce/89/293a0511300398ee526a82e9e3f935cc1cc700ed29a7d66688ce4f4af6f2/pyobvector-0.2.17-py3-none-any.whl", hash = "sha256:2fac85d7b02a34ef41806496b0db731b05979a7dceba41855e67c10a93a25bff", size = 57046 },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
@@ -5852,9 +5835,10 @@ wheels = [
|
||||
|
||||
[[package]]
|
||||
name = "tablestore"
|
||||
version = "6.2.0"
|
||||
version = "6.3.7"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "aiohttp" },
|
||||
{ name = "certifi" },
|
||||
{ name = "crc32c" },
|
||||
{ name = "flatbuffers" },
|
||||
@@ -5864,9 +5848,9 @@ dependencies = [
|
||||
{ name = "six" },
|
||||
{ name = "urllib3" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/a1/58/48d65d181a69f7db19f7cdee01d252168fbfbad2d1bb25abed03e6df3b05/tablestore-6.2.0.tar.gz", hash = "sha256:0773e77c00542be1bfebbc3c7a85f72a881c63e4e7df7c5a9793a54144590e68", size = 85942 }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/f1/39/47a3ec8e42fe74dd05af1dfed9c3b02b8f8adfdd8656b2c5d4f95f975c9f/tablestore-6.3.7.tar.gz", hash = "sha256:990682dbf6b602f317a2d359b4281dcd054b4326081e7a67b73dbbe95407be51", size = 117440 }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/9c/da/30451712a769bcf417add8e81163d478a4d668b0e8d489a9d667260d55df/tablestore-6.2.0-py3-none-any.whl", hash = "sha256:6af496d841ab1ff3f78b46abbd87b95a08d89605c51664d2b30933b1d1c5583a", size = 106297 },
|
||||
{ url = "https://files.pythonhosted.org/packages/fe/55/1b24d8c369204a855ac652712f815e88a4909802094e613fe3742a2d80e3/tablestore-6.3.7-py3-none-any.whl", hash = "sha256:38dcc55085912ab2515e183afd4532a58bb628a763590a99fc1bd2a4aba6855c", size = 139041 },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
|
||||
@@ -0,0 +1,30 @@
|
||||
id: remove-nullable-arg
|
||||
language: python
|
||||
rule:
|
||||
pattern: $X = mapped_column($$$ARGS)
|
||||
any:
|
||||
- pattern: $X = mapped_column($$$BEFORE, sa.String, $$$MID, nullable=True, $$$AFTER)
|
||||
- pattern: $X = mapped_column($$$BEFORE, sa.String, $$$MID, nullable=True)
|
||||
rewriters:
|
||||
- id: filter-string-nullable
|
||||
rule:
|
||||
pattern: $ARG
|
||||
inside:
|
||||
kind: argument_list
|
||||
all:
|
||||
- not:
|
||||
pattern: String
|
||||
- not:
|
||||
pattern:
|
||||
context: a(nullable=True)
|
||||
selector: keyword_argument
|
||||
fix: $ARG
|
||||
|
||||
transform:
|
||||
NEWARGS:
|
||||
rewrite:
|
||||
rewriters: [filter-string-nullable]
|
||||
source: $$$ARGS
|
||||
joinBy: ', '
|
||||
fix: |-
|
||||
$X: Mapped[str | None] = mapped_column($NEWARGS)
|
||||
@@ -762,6 +762,12 @@ UPLOAD_FILE_SIZE_LIMIT=15
|
||||
# The maximum number of files that can be uploaded at a time, default 5.
|
||||
UPLOAD_FILE_BATCH_LIMIT=5
|
||||
|
||||
# Comma-separated list of file extensions blocked from upload for security reasons.
|
||||
# Extensions should be lowercase without dots (e.g., exe,bat,sh,dll).
|
||||
# Empty by default to allow all file types.
|
||||
# Recommended: exe,bat,cmd,com,scr,vbs,ps1,msi,dll
|
||||
UPLOAD_FILE_EXTENSION_BLACKLIST=
|
||||
|
||||
# ETL type, support: `dify`, `Unstructured`
|
||||
# `dify` Dify's proprietary file extraction scheme
|
||||
# `Unstructured` Unstructured.io file extraction scheme
|
||||
@@ -1351,6 +1357,9 @@ SWAGGER_UI_PATH=/swagger-ui.html
|
||||
# Set to false to export dataset IDs as plain text for easier cross-environment import
|
||||
DSL_EXPORT_ENCRYPT_DATASET_ID=true
|
||||
|
||||
# Maximum number of segments for dataset segments API (0 for unlimited)
|
||||
DATASET_MAX_SEGMENTS_PER_REQUEST=0
|
||||
|
||||
# Celery schedule tasks configuration
|
||||
ENABLE_CLEAN_EMBEDDING_CACHE_TASK=false
|
||||
ENABLE_CLEAN_UNUSED_DATASETS_TASK=false
|
||||
|
||||
@@ -101,6 +101,8 @@ services:
|
||||
ENABLE_WEBSITE_JINAREADER: ${ENABLE_WEBSITE_JINAREADER:-true}
|
||||
ENABLE_WEBSITE_FIRECRAWL: ${ENABLE_WEBSITE_FIRECRAWL:-true}
|
||||
ENABLE_WEBSITE_WATERCRAWL: ${ENABLE_WEBSITE_WATERCRAWL:-true}
|
||||
NEXT_PUBLIC_ENABLE_SINGLE_DOLLAR_LATEX: ${NEXT_PUBLIC_ENABLE_SINGLE_DOLLAR_LATEX:-false}
|
||||
|
||||
# The postgres database.
|
||||
db:
|
||||
image: postgres:15-alpine
|
||||
|
||||
@@ -353,6 +353,7 @@ x-shared-env: &shared-api-worker-env
|
||||
CLICKZETTA_VECTOR_DISTANCE_FUNCTION: ${CLICKZETTA_VECTOR_DISTANCE_FUNCTION:-cosine_distance}
|
||||
UPLOAD_FILE_SIZE_LIMIT: ${UPLOAD_FILE_SIZE_LIMIT:-15}
|
||||
UPLOAD_FILE_BATCH_LIMIT: ${UPLOAD_FILE_BATCH_LIMIT:-5}
|
||||
UPLOAD_FILE_EXTENSION_BLACKLIST: ${UPLOAD_FILE_EXTENSION_BLACKLIST:-}
|
||||
ETL_TYPE: ${ETL_TYPE:-dify}
|
||||
UNSTRUCTURED_API_URL: ${UNSTRUCTURED_API_URL:-}
|
||||
UNSTRUCTURED_API_KEY: ${UNSTRUCTURED_API_KEY:-}
|
||||
@@ -603,6 +604,7 @@ x-shared-env: &shared-api-worker-env
|
||||
SWAGGER_UI_ENABLED: ${SWAGGER_UI_ENABLED:-true}
|
||||
SWAGGER_UI_PATH: ${SWAGGER_UI_PATH:-/swagger-ui.html}
|
||||
DSL_EXPORT_ENCRYPT_DATASET_ID: ${DSL_EXPORT_ENCRYPT_DATASET_ID:-true}
|
||||
DATASET_MAX_SEGMENTS_PER_REQUEST: ${DATASET_MAX_SEGMENTS_PER_REQUEST:-0}
|
||||
ENABLE_CLEAN_EMBEDDING_CACHE_TASK: ${ENABLE_CLEAN_EMBEDDING_CACHE_TASK:-false}
|
||||
ENABLE_CLEAN_UNUSED_DATASETS_TASK: ${ENABLE_CLEAN_UNUSED_DATASETS_TASK:-false}
|
||||
ENABLE_CREATE_TIDB_SERVERLESS_TASK: ${ENABLE_CREATE_TIDB_SERVERLESS_TASK:-false}
|
||||
@@ -714,6 +716,8 @@ services:
|
||||
ENABLE_WEBSITE_JINAREADER: ${ENABLE_WEBSITE_JINAREADER:-true}
|
||||
ENABLE_WEBSITE_FIRECRAWL: ${ENABLE_WEBSITE_FIRECRAWL:-true}
|
||||
ENABLE_WEBSITE_WATERCRAWL: ${ENABLE_WEBSITE_WATERCRAWL:-true}
|
||||
NEXT_PUBLIC_ENABLE_SINGLE_DOLLAR_LATEX: ${NEXT_PUBLIC_ENABLE_SINGLE_DOLLAR_LATEX:-false}
|
||||
|
||||
# The postgres database.
|
||||
db:
|
||||
image: postgres:15-alpine
|
||||
|
||||
@@ -0,0 +1,101 @@
|
||||
# योगदान (CONTRIBUTING)
|
||||
|
||||
तो आप Dify में योगदान देना चाहते हैं — यह शानदार है, हम उत्सुक हैं यह देखने के लिए कि आप क्या बनाते हैं। सीमित टीम और फंडिंग वाले एक स्टार्टअप के रूप में, हमारा बड़ा लक्ष्य LLM एप्लिकेशनों के निर्माण और प्रबंधन के लिए सबसे सहज वर्कफ़्लो डिज़ाइन करना है। समुदाय से मिलने वाली कोई भी मदद वास्तव में मायने रखती है।
|
||||
|
||||
हमारे वर्तमान चरण को देखते हुए हमें तेज़ी से काम करना और डिलीवर करना होता है, लेकिन हम यह भी सुनिश्चित करना चाहते हैं कि आपके जैसे योगदानकर्ताओं के लिए योगदान देने का अनुभव यथासंभव सरल और सुगम हो।\
|
||||
इसी उद्देश्य से हमने यह योगदान गाइड तैयार किया है, ताकि आप कोडबेस से परिचित हो सकें और जान सकें कि हम योगदानकर्ताओं के साथ कैसे काम करते हैं — ताकि आप जल्दी से मज़ेदार हिस्से पर पहुँच सकें।
|
||||
|
||||
यह गाइड, Dify की तरह ही, एक निरंतर विकसित होता दस्तावेज़ है। यदि यह कभी-कभी वास्तविक प्रोजेक्ट से पीछे रह जाए तो हम आपके समझ के लिए आभारी हैं, और सुधार के लिए किसी भी सुझाव का स्वागत करते हैं।
|
||||
|
||||
लाइसेंसिंग के संदर्भ में, कृपया एक मिनट निकालकर हमारा छोटा [License and Contributor Agreement](../../LICENSE) पढ़ें।\
|
||||
समुदाय [code of conduct](https://github.com/langgenius/.github/blob/main/CODE_OF_CONDUCT.md) का भी पालन करता है।
|
||||
|
||||
## शुरू करने से पहले
|
||||
|
||||
कुछ योगदान करने की तलाश में हैं? हमारे [good first issues](https://github.com/langgenius/dify/issues?q=is%3Aissue%20state%3Aopen%20label%3A%22good%20first%20issue%22) ब्राउज़ करें और किसी एक को चुनकर शुरुआत करें!
|
||||
|
||||
कोई नया मॉडल रनटाइम या टूल जोड़ना चाहते हैं? हमारे [plugin repo](https://github.com/langgenius/dify-plugins) में एक PR खोलें और हमें दिखाएँ कि आपने क्या बनाया है।
|
||||
|
||||
किसी मौजूदा मॉडल रनटाइम या टूल को अपडेट करना है, या कुछ बग्स को ठीक करना है? हमारे [official plugin repo](https://github.com/langgenius/dify-official-plugins) पर जाएँ और अपना जादू दिखाएँ!
|
||||
|
||||
मज़े में शामिल हों, योगदान दें, और चलिए मिलकर कुछ शानदार बनाते हैं! 💡✨
|
||||
|
||||
PR के विवरण में मौजूदा issue को लिंक करना या नया issue खोलना न भूलें।
|
||||
|
||||
### बग रिपोर्ट (Bug reports)
|
||||
|
||||
> [!IMPORTANT]\
|
||||
> कृपया बग रिपोर्ट सबमिट करते समय निम्नलिखित जानकारी अवश्य शामिल करें:
|
||||
|
||||
- एक स्पष्ट और वर्णनात्मक शीर्षक
|
||||
- बग का विस्तृत विवरण, जिसमें कोई भी त्रुटि संदेश (error messages) शामिल हो
|
||||
- बग को पुन: उत्पन्न करने के चरण
|
||||
- अपेक्षित व्यवहार
|
||||
- **लॉग्स**, यदि उपलब्ध हों — बैकएंड समस्याओं के लिए यह बहुत महत्वपूर्ण है, आप इन्हें docker-compose logs में पा सकते हैं
|
||||
- स्क्रीनशॉट या वीडियो (यदि लागू हो)
|
||||
|
||||
हम प्राथमिकता कैसे तय करते हैं:
|
||||
|
||||
| समस्या प्रकार (Issue Type) | प्राथमिकता (Priority) |
|
||||
| ------------------------------------------------------------ | --------------- |
|
||||
| मुख्य कार्यों में बग (क्लाउड सेवा, लॉगिन न होना, एप्लिकेशन न चलना, सुरक्षा खामियाँ) | गंभीर (Critical) |
|
||||
| गैर-गंभीर बग, प्रदर्शन सुधार | मध्यम प्राथमिकता (Medium Priority) |
|
||||
| छोटे सुधार (टाइपो, भ्रमित करने वाला लेकिन काम करने वाला UI) | निम्न प्राथमिकता (Low Priority) |
|
||||
|
||||
### फ़ीचर अनुरोध (Feature requests)
|
||||
|
||||
> [!NOTE]\
|
||||
> कृपया फ़ीचर अनुरोध सबमिट करते समय निम्नलिखित जानकारी अवश्य शामिल करें:
|
||||
|
||||
- एक स्पष्ट और वर्णनात्मक शीर्षक
|
||||
- फ़ीचर का विस्तृत विवरण
|
||||
- फ़ीचर के उपयोग का मामला (use case)
|
||||
- फ़ीचर अनुरोध से संबंधित कोई अन्य संदर्भ या स्क्रीनशॉट
|
||||
|
||||
हम प्राथमिकता कैसे तय करते हैं:
|
||||
|
||||
| फ़ीचर प्रकार (Feature Type) | प्राथमिकता (Priority) |
|
||||
| ------------------------------------------------------------ | --------------- |
|
||||
| किसी टीम सदस्य द्वारा उच्च प्राथमिकता (High-Priority) के रूप में चिह्नित फ़ीचर | उच्च प्राथमिकता (High Priority) |
|
||||
| हमारे [community feedback board](https://github.com/langgenius/dify/discussions/categories/feedbacks) से लोकप्रिय फ़ीचर अनुरोध | मध्यम प्राथमिकता (Medium Priority) |
|
||||
| गैर-मुख्य फ़ीचर्स और छोटे सुधार | निम्न प्राथमिकता (Low Priority) |
|
||||
| मूल्यवान लेकिन तात्कालिक नहीं | भविष्य का फ़ीचर (Future-Feature) |
|
||||
|
||||
## अपना PR सबमिट करना (Submitting your PR)
|
||||
|
||||
### पुल रिक्वेस्ट प्रक्रिया (Pull Request Process)
|
||||
|
||||
1. रिपॉज़िटरी को Fork करें
|
||||
1. PR ड्राफ्ट करने से पहले, कृपया अपने बदलावों पर चर्चा करने के लिए एक issue बनाएँ
|
||||
1. अपने परिवर्तनों के लिए एक नई शाखा (branch) बनाएँ
|
||||
1. अपने बदलावों के लिए उपयुक्त टेस्ट जोड़ें
|
||||
1. सुनिश्चित करें कि आपका कोड मौजूदा टेस्ट पास करता है
|
||||
1. PR विवरण में issue लिंक करें, जैसे: `fixes #<issue_number>`
|
||||
1. मर्ज हो जाएँ! 🎉
|
||||
|
||||
### प्रोजेक्ट सेटअप करें (Setup the project)
|
||||
|
||||
#### फ्रंटएंड (Frontend)
|
||||
|
||||
फ्रंटएंड सेवा सेटअप करने के लिए, कृपया हमारी विस्तृत [guide](https://github.com/langgenius/dify/blob/main/web/README.md) देखें जो `web/README.md` फ़ाइल में उपलब्ध है।\
|
||||
यह दस्तावेज़ आपको फ्रंटएंड वातावरण को सही ढंग से सेटअप करने के लिए विस्तृत निर्देश प्रदान करता है।
|
||||
|
||||
#### बैकएंड (Backend)
|
||||
|
||||
बैकएंड सेवा सेटअप करने के लिए, कृपया हमारी विस्तृत [instructions](https://github.com/langgenius/dify/blob/main/api/README.md) देखें जो `api/README.md` फ़ाइल में दी गई हैं।\
|
||||
यह दस्तावेज़ चरण-दर-चरण मार्गदर्शन प्रदान करता है जिससे आप बैकएंड को सुचारू रूप से चला सकें।
|
||||
|
||||
#### अन्य महत्वपूर्ण बातें (Other things to note)
|
||||
|
||||
सेटअप शुरू करने से पहले इस दस्तावेज़ की सावधानीपूर्वक समीक्षा करने की अनुशंसा की जाती है, क्योंकि इसमें निम्नलिखित महत्वपूर्ण जानकारी शामिल है:
|
||||
|
||||
- आवश्यक पूर्व-आवश्यकताएँ और निर्भरताएँ
|
||||
- इंस्टॉलेशन चरण
|
||||
- कॉन्फ़िगरेशन विवरण
|
||||
- सामान्य समस्या निवारण सुझाव
|
||||
|
||||
यदि सेटअप प्रक्रिया के दौरान आपको कोई समस्या आती है, तो बेझिझक हमसे संपर्क करें।
|
||||
|
||||
## सहायता प्राप्त करना (Getting Help)
|
||||
|
||||
यदि योगदान करते समय आप कहीं अटक जाएँ या कोई महत्वपूर्ण प्रश्न हो, तो संबंधित GitHub issue के माध्यम से हमें अपने प्रश्न भेजें, या त्वरित बातचीत के लिए हमारे [Discord](https://discord.gg/8Tpq4AcN9c) पर जुड़ें।
|
||||
@@ -0,0 +1,224 @@
|
||||

|
||||
|
||||
<p align="center">
|
||||
📌 <a href="https://dify.ai/blog/introducing-dify-workflow-file-upload-a-demo-on-ai-podcast">Dify वर्कफ़्लो फ़ाइल अपलोड पेश है: Google NotebookLM पॉडकास्ट को पुनः बनाएँ</a>
|
||||
</p>
|
||||
|
||||
<p align="center">
|
||||
<a href="https://cloud.dify.ai">Dify Cloud</a> ·
|
||||
<a href="https://docs.dify.ai/getting-started/install-self-hosted">स्व-होस्टिंग</a> ·
|
||||
<a href="https://docs.dify.ai">दस्तावेज़ीकरण</a> ·
|
||||
<a href="https://dify.ai/pricing">Dify संस्करण का अवलोकन</a>
|
||||
</p>
|
||||
|
||||
<p align="center">
|
||||
<a href="https://dify.ai" target="_blank">
|
||||
<img alt="Static Badge" src="https://img.shields.io/badge/Product-F04438"></a>
|
||||
<a href="https://dify.ai/pricing" target="_blank">
|
||||
<img alt="Static Badge" src="https://img.shields.io/badge/free-pricing?logo=free&color=%20%23155EEF&label=pricing&labelColor=%20%23528bff"></a>
|
||||
<a href="https://discord.gg/FngNHpbcY7" target="_blank">
|
||||
<img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
|
||||
alt="chat on Discord"></a>
|
||||
<a href="https://reddit.com/r/difyai" target="_blank">
|
||||
<img src="https://img.shields.io/reddit/subreddit-subscribers/difyai?style=plastic&logo=reddit&label=r%2Fdifyai&labelColor=white"
|
||||
alt="join Reddit"></a>
|
||||
<a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
|
||||
<img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
|
||||
alt="follow on X(Twitter)"></a>
|
||||
<a href="https://www.linkedin.com/company/langgenius/" target="_blank">
|
||||
<img src="https://custom-icon-badges.demolab.com/badge/LinkedIn-0A66C2?logo=linkedin-white&logoColor=fff"
|
||||
alt="follow on LinkedIn"></a>
|
||||
<a href="https://hub.docker.com/u/langgenius" target="_blank">
|
||||
<img alt="Docker Pulls" src="https://img.shields.io/docker/pulls/langgenius/dify-web?labelColor=%20%23FDB062&color=%20%23f79009"></a>
|
||||
<a href="https://github.com/langgenius/dify/graphs/commit-activity" target="_blank">
|
||||
<img alt="Commits last month" src="https://img.shields.io/github/commit-activity/m/langgenius/dify?labelColor=%20%2332b583&color=%20%2312b76a"></a>
|
||||
<a href="https://github.com/langgenius/dify/" target="_blank">
|
||||
<img alt="Issues closed" src="https://img.shields.io/github/issues-search?query=repo%3Alanggenius%2Fdify%20is%3Aclosed&label=issues%20closed&labelColor=%20%237d89b0&color=%20%235d6b98"></a>
|
||||
<a href="https://github.com/langgenius/dify/discussions/" target="_blank">
|
||||
<img alt="Discussion posts" src="https://img.shields.io/github/discussions/langgenius/dify?labelColor=%20%239b8afb&color=%20%237a5af8"></a>
|
||||
</p>
|
||||
|
||||
<p align="center">
|
||||
<a href="../../README.md"><img alt="README in English" src="https://img.shields.io/badge/English-d9d9d9"></a>
|
||||
<a href="../zh-TW/README.md"><img alt="繁體中文文件" src="https://img.shields.io/badge/繁體中文-d9d9d9"></a>
|
||||
<a href="../zh-CN/README.md"><img alt="简体中文文件" src="https://img.shields.io/badge/简体中文-d9d9d9"></a>
|
||||
<a href="../ja-JP/README.md"><img alt="日本語のREADME" src="https://img.shields.io/badge/日本語-d9d9d9"></a>
|
||||
<a href="../es-ES/README.md"><img alt="README en Español" src="https://img.shields.io/badge/Español-d9d9d9"></a>
|
||||
<a href="../fr-FR/README.md"><img alt="README en Français" src="https://img.shields.io/badge/Français-d9d9d9"></a>
|
||||
<a href="../tlh/README.md"><img alt="README tlhIngan Hol" src="https://img.shields.io/badge/Klingon-d9d9d9"></a>
|
||||
<a href="../ko-KR/README.md"><img alt="README in Korean" src="https://img.shields.io/badge/한국어-d9d9d9"></a>
|
||||
<a href="../ar-SA/README.md"><img alt="README بالعربية" src="https://img.shields.io/badge/العربية-d9d9d9"></a>
|
||||
<a href="../tr-TR/README.md"><img alt="Türkçe README" src="https://img.shields.io/badge/Türkçe-d9d9d9"></a>
|
||||
<a href="../vi-VN/README.md"><img alt="README Tiếng Việt" src="https://img.shields.io/badge/Ti%E1%BA%BFng%20Vi%E1%BB%87t-d9d9d9"></a>
|
||||
<a href="../de-DE/README.md"><img alt="README in Deutsch" src="https://img.shields.io/badge/German-d9d9d9"></a>
|
||||
<a href="../it-IT/README.md"><img alt="README in Italiano" src="https://img.shields.io/badge/Italiano-d9d9d9"></a>
|
||||
<a href="../bn-BD/README.md"><img alt="README in বাংলা" src="https://img.shields.io/badge/বাংলা-d9d9d9"></a>
|
||||
<a href="../hi-IN/README.md"><img alt="README in हिन्दी" src="https://img.shields.io/badge/Hindi-d9d9d9"></a>
|
||||
</p>
|
||||
|
||||
Dify एक मुक्त-स्रोत प्लेटफ़ॉर्म है जो LLM अनुप्रयोगों (एप्लिकेशनों) के विकास के लिए बनाया गया है। इसका सहज इंटरफ़ेस एजेंटिक एआई वर्कफ़्लो, RAG पाइपलाइनों, एजेंट क्षमताओं, मॉडल प्रबंधन, ऑब्ज़र्वेबिलिटी (निगरानी) सुविधाओं और अन्य को एक साथ जोड़ता है — जिससे आप प्रोटोटाइप से उत्पादन (प्रोडक्शन) तक जल्दी पहुँच सकते हैं।
|
||||
|
||||
## त्वरित प्रारंभ
|
||||
|
||||
> Dify स्थापित करने से पहले, सुनिश्चित करें कि आपकी मशीन निम्नलिखित न्यूनतम सिस्टम आवश्यकताओं को पूरा करती है:
|
||||
>
|
||||
> - CPU >= 2 Core
|
||||
> - RAM >= 4 GiB
|
||||
|
||||
<br/>
|
||||
|
||||
Dify सर्वर शुरू करने का सबसे आसान तरीका [Docker Compose](../..docker/docker-compose.yaml) के माध्यम से है। नीचे दिए गए कमांड्स से Dify चलाने से पहले, सुनिश्चित करें कि आपकी मशीन पर [Docker] (https://docs.docker.com/get-docker/) और [Docker Compose] (https://docs.docker.com/compose/install/) इंस्टॉल हैं।:
|
||||
|
||||
```bash
|
||||
cd dify
|
||||
cd docker
|
||||
cp .env.example .env
|
||||
docker compose up -d
|
||||
```
|
||||
|
||||
रन करने के बाद, आप अपने ब्राउज़र में [http://localhost/install](http://localhost/install) पर Dify डैशबोर्ड एक्सेस कर सकते हैं और प्रारंभिक सेटअप प्रक्रिया शुरू कर सकते हैं।
|
||||
|
||||
#### सहायता प्राप्त करना
|
||||
|
||||
यदि आपको Dify सेटअप करते समय कोई समस्या आती है, तो कृपया हमारे [FAQ](https://docs.dify.ai/getting-started/install-self-hosted/faqs) को देखें। यदि फिर भी समस्या बनी रहती है, तो [the community and us](#community--contact) से संपर्क करें।
|
||||
|
||||
> यदि आप Dify में योगदान देना चाहते हैं या अतिरिक्त विकास करना चाहते हैं, तो हमारे [guide to deploying from source code](https://docs.dify.ai/getting-started/install-self-hosted/local-source-code) को देखें।
|
||||
|
||||
## मुख्य विशेषताएँ
|
||||
|
||||
**1. वर्कफ़्लो**:\
|
||||
एक दृश्य कैनवास पर शक्तिशाली एआई वर्कफ़्लो बनाएं और परीक्षण करें, नीचे दी गई सभी सुविधाओं और उससे भी आगे का उपयोग करते हुए।
|
||||
|
||||
**2. व्यापक मॉडल समर्थन**:\
|
||||
कई इन्फ़रेंस प्रदाताओं और स्व-होस्टेड समाधानों से सैकड़ों स्वामित्व / मुक्त-स्रोत LLMs के साथ सहज एकीकरण, जिसमें GPT, Mistral, Llama3, और कोई भी OpenAI API-संगत मॉडल शामिल हैं। समर्थित मॉडल प्रदाताओं की पूरी सूची [here](https://docs.dify.ai/getting-started/readme/model-providers) पर पाई जा सकती है।
|
||||
|
||||

|
||||
|
||||
**3. प्रॉम्प्ट IDE**:\
|
||||
प्रॉम्प्ट बनाने, मॉडल प्रदर्शन की तुलना करने, और चैट-आधारित ऐप में टेक्स्ट-टू-स्पीच जैसी अतिरिक्त सुविधाएँ जोड़ने के लिए सहज इंटरफ़ेस।
|
||||
|
||||
**4. RAG पाइपलाइन**:\
|
||||
विस्तृत RAG क्षमताएँ जो दस्तावेज़ इनजेशन से लेकर रिट्रीवल तक सब कुछ कवर करती हैं, और PDFs, PPTs, तथा अन्य सामान्य दस्तावेज़ प्रारूपों से टेक्स्ट निकालने के लिए आउट-ऑफ़-द-बॉक्स समर्थन प्रदान करती हैं।
|
||||
|
||||
**5. एजेंट क्षमताएँ**:\
|
||||
आप LLM फ़ंक्शन कॉलिंग या ReAct के आधार पर एजेंट परिभाषित कर सकते हैं, और एजेंट के लिए पूर्व-निर्मित या कस्टम टूल जोड़ सकते हैं। Dify एआई एजेंटों के लिए 50+ अंतर्निर्मित टूल प्रदान करता है, जैसे Google Search, DALL·E, Stable Diffusion और WolframAlpha।
|
||||
|
||||
**6. LLMOps**:\
|
||||
समय के साथ एप्लिकेशन लॉग्स और प्रदर्शन की निगरानी और विश्लेषण करें। आप उत्पादन डेटा और एनोटेशनों के आधार पर प्रॉम्प्ट्स, डेटासेट्स और मॉडल्स को निरंतर सुधार सकते हैं।
|
||||
|
||||
**7. Backend-as-a-Service**:\
|
||||
Dify की सभी सेवाएँ संबंधित APIs के साथ आती हैं, जिससे आप Dify को आसानी से अपने व्यावसायिक लॉजिक में एकीकृत कर सकते हैं।
|
||||
|
||||
## Dify का उपयोग करना
|
||||
|
||||
- **Cloud <br/>**\
|
||||
हम [Dify Cloud](https://dify.ai) सेवा प्रदान करते हैं, जिसे कोई भी बिना किसी सेटअप के आज़मा सकता है। यह स्व-परिनियोजित संस्करण की सभी क्षमताएँ प्रदान करता है और सैंडबॉक्स प्लान में 200 निःशुल्क GPT-4 कॉल्स शामिल करता है।
|
||||
|
||||
- **Dify कम्युनिटी संस्करण की स्व-होस्टिंग<br/>**\
|
||||
अपने वातावरण में Dify को जल्दी चलाएँ इस [starter guide](#quick-start) की मदद से।\
|
||||
आगे के संदर्भों और विस्तृत निर्देशों के लिए हमारी [documentation](https://docs.dify.ai) देखें।
|
||||
|
||||
- **उद्यमों / संगठनों के लिए Dify<br/>**\
|
||||
हम अतिरिक्त एंटरप्राइज़-केंद्रित सुविधाएँ प्रदान करते हैं।\
|
||||
[इस चैटबॉट के माध्यम से हमें अपने प्रश्न भेजें](https://udify.app/chat/22L1zSxg6yW1cWQg) या [हमें ईमेल भेजें](mailto:business@dify.ai?subject=%5BGitHub%5DBusiness%20License%20Inquiry) ताकि हम एंटरप्राइज़ आवश्यकताओं पर चर्चा कर सकें। <br/>
|
||||
|
||||
> AWS का उपयोग करने वाले स्टार्टअप्स और छोटे व्यवसायों के लिए, [AWS Marketplace पर Dify Premium](https://aws.amazon.com/marketplace/pp/prodview-t22mebxzwjhu6) देखें और इसे एक क्लिक में अपने AWS VPC पर डिप्लॉय करें। यह एक किफायती AMI ऑफ़रिंग है, जो आपको कस्टम लोगो और ब्रांडिंग के साथ ऐप्स बनाने की अनुमति देती है।
|
||||
|
||||
## आगे बने रहें
|
||||
|
||||
GitHub पर Dify को स्टार करें और नए रिलीज़ की सूचना तुरंत प्राप्त करें।
|
||||
|
||||

|
||||
|
||||
## उन्नत सेटअप
|
||||
|
||||
### कस्टम कॉन्फ़िगरेशन
|
||||
|
||||
यदि आपको कॉन्फ़िगरेशन को कस्टमाइज़ करने की आवश्यकता है, तो कृपया हमारी [.env.example](../../docker/.env.example) फ़ाइल में दिए गए टिप्पणियों (comments) को देखें और अपने `.env` फ़ाइल में संबंधित मानों को अपडेट करें।\
|
||||
इसके अतिरिक्त, आपको अपने विशेष डिप्लॉयमेंट वातावरण और आवश्यकताओं के आधार पर `docker-compose.yaml` फ़ाइल में भी बदलाव करने की आवश्यकता हो सकती है, जैसे इमेज संस्करण, पोर्ट मैपिंग या वॉल्यूम माउंट्स बदलना।\
|
||||
कोई भी बदलाव करने के बाद, कृपया `docker-compose up -d` कमांड को पुनः चलाएँ।\
|
||||
उपलब्ध सभी environment variables की पूरी सूची [here](https://docs.dify.ai/getting-started/install-self-hosted/environments) पर पाई जा सकती है।
|
||||
|
||||
### Grafana के साथ मेट्रिक्स मॉनिटरिंग
|
||||
|
||||
Grafana में Dify के PostgreSQL डेटाबेस को डेटा स्रोत के रूप में उपयोग करते हुए डैशबोर्ड आयात करें, ताकि आप ऐप्स, टेनेंट्स, संदेशों आदि के स्तर पर मेट्रिक्स की निगरानी कर सकें।
|
||||
|
||||
- [Grafana Dashboard by @bowenliang123](https://github.com/bowenliang123/dify-grafana-dashboard)
|
||||
|
||||
### Kubernetes के साथ डिप्लॉयमेंट
|
||||
|
||||
यदि आप उच्च उपलब्धता (high-availability) सेटअप कॉन्फ़िगर करना चाहते हैं, तो समुदाय द्वारा योगदान किए गए [Helm Charts](https://helm.sh/) और YAML फ़ाइलें उपलब्ध हैं जो Dify को Kubernetes पर डिप्लॉय करने की अनुमति देती हैं।
|
||||
|
||||
- [Helm Chart by @LeoQuote](https://github.com/douban/charts/tree/master/charts/dify)
|
||||
- [Helm Chart by @BorisPolonsky](https://github.com/BorisPolonsky/dify-helm)
|
||||
- [Helm Chart by @magicsong](https://github.com/magicsong/ai-charts)
|
||||
- [YAML file by @Winson-030](https://github.com/Winson-030/dify-kubernetes)
|
||||
- [YAML file by @wyy-holding](https://github.com/wyy-holding/dify-k8s)
|
||||
- [🚀 NEW! YAML files (Supports Dify v1.6.0) by @Zhoneym](https://github.com/Zhoneym/DifyAI-Kubernetes)
|
||||
|
||||
#### डिप्लॉयमेंट के लिए Terraform का उपयोग
|
||||
|
||||
[terraform](https://www.terraform.io/) का उपयोग करके एक क्लिक में Dify को क्लाउड प्लेटफ़ॉर्म पर डिप्लॉय करें।
|
||||
|
||||
##### Azure Global
|
||||
|
||||
- [Azure Terraform by @nikawang](https://github.com/nikawang/dify-azure-terraform)
|
||||
|
||||
##### Google Cloud
|
||||
|
||||
- [Google Cloud Terraform by @sotazum](https://github.com/DeNA/dify-google-cloud-terraform)
|
||||
|
||||
#### डिप्लॉयमेंट के लिए AWS CDK का उपयोग
|
||||
|
||||
[CDK](https://aws.amazon.com/cdk/) का उपयोग करके Dify को AWS पर डिप्लॉय करें।
|
||||
|
||||
##### AWS
|
||||
|
||||
- [AWS CDK by @KevinZhao (EKS आधारित)](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
|
||||
- [AWS CDK by @tmokmss (ECS आधारित)](https://github.com/aws-samples/dify-self-hosted-on-aws)
|
||||
|
||||
#### Alibaba Cloud Computing Nest का उपयोग
|
||||
|
||||
[Alibaba Cloud Computing Nest](https://computenest.console.aliyun.com/service/instance/create/default?type=user&ServiceName=Dify%E7%A4%BE%E5%8C%BA%E7%89%88) के साथ Dify को Alibaba Cloud पर तेज़ी से डिप्लॉय करें।
|
||||
|
||||
#### Alibaba Cloud Data Management का उपयोग
|
||||
|
||||
[Alibaba Cloud Data Management](https://www.alibabacloud.com/help/en/dms/dify-in-invitational-preview/) के साथ एक क्लिक में Dify को Alibaba Cloud पर डिप्लॉय करें।
|
||||
|
||||
#### Azure Devops Pipeline के साथ AKS पर डिप्लॉय करें
|
||||
|
||||
[Azure Devops Pipeline Helm Chart by @LeoZhang](https://github.com/Ruiruiz30/Dify-helm-chart-AKS) के साथ एक क्लिक में Dify को AKS पर डिप्लॉय करें।
|
||||
|
||||
## योगदान (Contributing)
|
||||
|
||||
जो लोग कोड में योगदान देना चाहते हैं, वे हमारे [Contribution Guide](./CONTRIBUTING.md) को देखें।\
|
||||
साथ ही, कृपया Dify को सोशल मीडिया, कार्यक्रमों और सम्मेलनों में साझा करके इसका समर्थन करने पर विचार करें।
|
||||
|
||||
> हम ऐसे योगदानकर्ताओं की तलाश कर रहे हैं जो Dify को मंदारिन या अंग्रेज़ी के अलावा अन्य भाषाओं में अनुवाद करने में मदद कर सकें।\
|
||||
> यदि आप सहायता करने में रुचि रखते हैं, तो अधिक जानकारी के लिए [i18n README](https://github.com/langgenius/dify/blob/main/web/i18n-config/README.md) देखें, और हमारे [Discord Community Server](https://discord.gg/8Tpq4AcN9c) के `global-users` चैनल में हमें संदेश दें।
|
||||
|
||||
## समुदाय और संपर्क (Community & contact)
|
||||
|
||||
- [GitHub Discussion](https://github.com/langgenius/dify/discussions) — सर्वोत्तम उपयोग के लिए: प्रतिक्रिया साझा करने और प्रश्न पूछने हेतु।
|
||||
- [GitHub Issues](https://github.com/langgenius/dify/issues) — सर्वोत्तम उपयोग के लिए: Dify.AI का उपयोग करते समय आने वाली बग्स या फीचर सुझावों के लिए। देखें: [Contribution Guide](../../CONTRIBUTING.md)।
|
||||
- [Discord](https://discord.gg/FngNHpbcY7) — सर्वोत्तम उपयोग के लिए: अपने एप्लिकेशन साझा करने और समुदाय के साथ जुड़ने के लिए।
|
||||
- [X(Twitter)](https://twitter.com/dify_ai) — सर्वोत्तम उपयोग के लिए: अपने एप्लिकेशन साझा करने और समुदाय से जुड़े रहने के लिए।
|
||||
|
||||
**योगदानकर्ता**
|
||||
|
||||
<a href="https://github.com/langgenius/dify/graphs/contributors">
|
||||
<img src="https://contrib.rocks/image?repo=langgenius/dify" />
|
||||
</a>
|
||||
|
||||
## स्टार इतिहास (Star history)
|
||||
|
||||
[](https://star-history.com/#langgenius/dify&Date)
|
||||
|
||||
## सुरक्षा प्रकटीकरण (Security disclosure)
|
||||
|
||||
आपकी गोपनीयता की सुरक्षा के लिए, कृपया GitHub पर सुरक्षा संबंधित समस्याएँ पोस्ट करने से बचें।\
|
||||
इसके बजाय, समस्याओं की रिपोर्ट security@dify.ai पर करें, और हमारी टीम आपको विस्तृत उत्तर के साथ प्रतिक्रिया देगी।
|
||||
|
||||
## लाइसेंस (License)
|
||||
|
||||
यह रिपॉज़िटरी [Dify Open Source License](../../LICENSE) के अंतर्गत लाइसेंस प्राप्त है, जो Apache 2.0 पर आधारित है और इसमें अतिरिक्त शर्तें शामिल हैं।
|
||||
@@ -0,0 +1,213 @@
|
||||

|
||||
|
||||
<p align="center">
|
||||
📌 <a href="https://dify.ai/blog/introducing-dify-workflow-file-upload-a-demo-on-ai-podcast">Introduzione a Dify Workflow File Upload: ricreando il podcast di Google NotebookLM</a>
|
||||
</p>
|
||||
|
||||
<p align="center">
|
||||
<a href="https://cloud.dify.ai">Dify Cloud</a> ·
|
||||
<a href="https://docs.dify.ai/getting-started/install-self-hosted">Self-Hosted</a> ·
|
||||
<a href="https://docs.dify.ai">Documentazione</a> ·
|
||||
<a href="https://dify.ai/pricing">Panoramica dei prodotti Dify</a>
|
||||
</p>
|
||||
|
||||
<p align="center">
|
||||
<a href="https://dify.ai" target="_blank">
|
||||
<img alt="Static Badge" src="https://img.shields.io/badge/Product-F04438"></a>
|
||||
<a href="https://dify.ai/pricing" target="_blank">
|
||||
<img alt="Static Badge" src="https://img.shields.io/badge/free-pricing?logo=free&color=%20%23155EEF&label=pricing&labelColor=%20%23528bff"></a>
|
||||
<a href="https://discord.gg/FngNHpbcY7" target="_blank">
|
||||
<img src="https://img.shields.io/discord/1082486657678311454?logo=discord&labelColor=%20%235462eb&logoColor=%20%23f5f5f5&color=%20%235462eb"
|
||||
alt="chat on Discord"></a>
|
||||
<a href="https://reddit.com/r/difyai" target="_blank">
|
||||
<img src="https://img.shields.io/reddit/subreddit-subscribers/difyai?style=plastic&logo=reddit&label=r%2Fdifyai&labelColor=white"
|
||||
alt="join Reddit"></a>
|
||||
<a href="https://twitter.com/intent/follow?screen_name=dify_ai" target="_blank">
|
||||
<img src="https://img.shields.io/twitter/follow/dify_ai?logo=X&color=%20%23f5f5f5"
|
||||
alt="follow on X(Twitter)"></a>
|
||||
<a href="https://www.linkedin.com/company/langgenius/" target="_blank">
|
||||
<img src="https://custom-icon-badges.demolab.com/badge/LinkedIn-0A66C2?logo=linkedin-white&logoColor=fff"
|
||||
alt="follow on LinkedIn"></a>
|
||||
<a href="https://hub.docker.com/u/langgenius" target="_blank">
|
||||
<img alt="Docker Pulls" src="https://img.shields.io/docker/pulls/langgenius/dify-web?labelColor=%20%23FDB062&color=%20%23f79009"></a>
|
||||
<a href="https://github.com/langgenius/dify/graphs/commit-activity" target="_blank">
|
||||
<img alt="Commits last month" src="https://img.shields.io/github/commit-activity/m/langgenius/dify?labelColor=%20%2332b583&color=%20%2312b76a"></a>
|
||||
<a href="https://github.com/langgenius/dify/" target="_blank">
|
||||
<img alt="Issues closed" src="https://img.shields.io/github/issues-search?query=repo%3Alanggenius%2Fdify%20is%3Aclosed&label=issues%20closed&labelColor=%20%237d89b0&color=%20%235d6b98"></a>
|
||||
<a href="https://github.com/langgenius/dify/discussions/" target="_blank">
|
||||
<img alt="Discussion posts" src="https://img.shields.io/github/discussions/langgenius/dify?labelColor=%20%239b8afb&color=%20%237a5af8"></a>
|
||||
</p>
|
||||
|
||||
<p align="center">
|
||||
<a href="../../README.md"><img alt="README in English" src="https://img.shields.io/badge/English-d9d9d9"></a>
|
||||
<a href="../zh-TW/README.md"><img alt="繁體中文文件" src="https://img.shields.io/badge/繁體中文-d9d9d9"></a>
|
||||
<a href="../zh-CN/README.md"><img alt="简体中文文件" src="https://img.shields.io/badge/简体中文-d9d9d9"></a>
|
||||
<a href="../ja-JP/README.md"><img alt="日本語のREADME" src="https://img.shields.io/badge/日本語-d9d9d9"></a>
|
||||
<a href="../es-ES/README.md"><img alt="README en Español" src="https://img.shields.io/badge/Español-d9d9d9"></a>
|
||||
<a href="../fr-FR/README.md"><img alt="README en Français" src="https://img.shields.io/badge/Français-d9d9d9"></a>
|
||||
<a href="../tlh/README.md"><img alt="README tlhIngan Hol" src="https://img.shields.io/badge/Klingon-d9d9d9"></a>
|
||||
<a href="../ko-KR/README.md"><img alt="README in Korean" src="https://img.shields.io/badge/한국어-d9d9d9"></a>
|
||||
<a href="../ar-SA/README.md"><img alt="README بالعربية" src="https://img.shields.io/badge/العربية-d9d9d9"></a>
|
||||
<a href="../tr-TR/README.md"><img alt="Türkçe README" src="https://img.shields.io/badge/Türkçe-d9d9d9"></a>
|
||||
<a href="../vi-VN/README.md"><img alt="README Tiếng Việt" src="https://img.shields.io/badge/Ti%E1%BA%BFng%20Vi%E1%BB%87t-d9d9d9"></a>
|
||||
<a href="../de-DE/README.md"><img alt="README in Deutsch" src="https://img.shields.io/badge/German-d9d9d9"></a>
|
||||
<a href="../it-IT/README.md"><img alt="README in Italiano" src="https://img.shields.io/badge/Italiano-d9d9d9"></a>
|
||||
<a href="../bn-BD/README.md"><img alt="README in বাংলা" src="https://img.shields.io/badge/বাংলা-d9d9d9"></a>
|
||||
</p>
|
||||
|
||||
Dify è una piattaforma open-source per lo sviluppo di applicazioni LLM. La sua interfaccia intuitiva combina flussi di lavoro AI basati su agenti, pipeline RAG, funzionalità di agenti, gestione dei modelli, funzionalità di monitoraggio e altro ancora, permettendovi di passare rapidamente da un prototipo alla produzione.
|
||||
|
||||
## Avvio Rapido
|
||||
|
||||
> Prima di installare Dify, assicuratevi che il vostro sistema soddisfi i seguenti requisiti minimi:
|
||||
>
|
||||
> - CPU >= 2 Core
|
||||
> - RAM >= 4 GiB
|
||||
|
||||
<br/>
|
||||
|
||||
Il modo più semplice per avviare il server Dify è tramite [docker compose](../../docker/docker-compose.yaml). Prima di eseguire Dify con i seguenti comandi, assicuratevi che [Docker](https://docs.docker.com/get-docker/) e [Docker Compose](https://docs.docker.com/compose/install/) siano installati sul vostro sistema:
|
||||
|
||||
```bash
|
||||
cd dify
|
||||
cd docker
|
||||
cp .env.example .env
|
||||
docker compose up -d
|
||||
```
|
||||
|
||||
Dopo aver avviato il server, potete accedere al dashboard di Dify tramite il vostro browser all'indirizzo [http://localhost/install](http://localhost/install) e avviare il processo di inizializzazione.
|
||||
|
||||
#### Richiedere Aiuto
|
||||
|
||||
Consultate le nostre [FAQ](https://docs.dify.ai/getting-started/install-self-hosted/faqs) se riscontrate problemi durante la configurazione di Dify. Contattateci [tramite la community](#community--contatti) se continuano a verificarsi difficoltà.
|
||||
|
||||
> Se desiderate contribuire a Dify o effettuare ulteriori sviluppi, consultate la nostra [guida al deployment dal codice sorgente](https://docs.dify.ai/getting-started/install-self-hosted/local-source-code).
|
||||
|
||||
## Caratteristiche Principali
|
||||
|
||||
**1. Workflow**:
|
||||
Create e testate potenti flussi di lavoro AI su un'interfaccia visuale, utilizzando tutte le funzionalità seguenti e oltre.
|
||||
|
||||
**2. Supporto Completo dei Modelli**:
|
||||
Integrazione perfetta con centinaia di LLM proprietari e open-source di decine di provider di inferenza e soluzioni self-hosted, che coprono GPT, Mistral, Llama3 e tutti i modelli compatibili con l'API OpenAI. L'elenco completo dei provider di modelli supportati è disponibile [qui](https://docs.dify.ai/getting-started/readme/model-providers).
|
||||
|
||||

|
||||
|
||||
**3. Prompt IDE**:
|
||||
Interfaccia intuitiva per creare prompt, confrontare le prestazioni dei modelli e aggiungere funzionalità aggiuntive come text-to-speech in un'applicazione basata su chat.
|
||||
|
||||
**4. Pipeline RAG**:
|
||||
Funzionalità RAG complete che coprono tutto, dall'acquisizione dei documenti alla loro interrogazione, con supporto pronto all'uso per l'estrazione di testo da PDF, PPT e altri formati di documenti comuni.
|
||||
|
||||
**5. Capacità degli Agenti**:
|
||||
Potete definire agenti basati su LLM Function Calling o ReAct e aggiungere strumenti predefiniti o personalizzati per l'agente. Dify fornisce oltre 50 strumenti integrati per gli agenti AI, come Google Search, DALL·E, Stable Diffusion e WolframAlpha.
|
||||
|
||||
**6. LLMOps**:
|
||||
Monitorate e analizzate i log delle applicazioni e le prestazioni nel tempo. Potete migliorare continuamente prompt, dataset e modelli basandovi sui dati di produzione e sulle annotazioni.
|
||||
|
||||
**7. Backend-as-a-Service**:
|
||||
Tutte le offerte di Dify sono dotate di API corrispondenti, permettendovi di integrare facilmente Dify nella vostra logica di business.
|
||||
|
||||
## Utilizzo di Dify
|
||||
|
||||
- **Cloud <br/>**
|
||||
Ospitiamo un servizio [Dify Cloud](https://dify.ai) che chiunque può provare senza configurazione. Offre tutte le funzionalità della versione self-hosted e include 200 chiamate GPT-4 gratuite nel piano sandbox.
|
||||
|
||||
- **Dify Community Edition Self-Hosted<br/>**
|
||||
Avviate rapidamente Dify nel vostro ambiente con questa [guida di avvio rapido](#avvio-rapido). Utilizzate la nostra [documentazione](https://docs.dify.ai) per ulteriori informazioni e istruzioni dettagliate.
|
||||
|
||||
- **Dify per Aziende / Organizzazioni<br/>**
|
||||
Offriamo funzionalità aggiuntive specifiche per le aziende. [Potete comunicarci le vostre domande tramite questo chatbot](https://udify.app/chat/22L1zSxg6yW1cWQg) o [inviateci un'email](mailto:business@dify.ai?subject=%5BGitHub%5DBusiness%20License%20Inquiry) per discutere le vostre esigenze aziendali. <br/>
|
||||
|
||||
> Per startup e piccole imprese che utilizzano AWS, date un'occhiata a [Dify Premium su AWS Marketplace](https://aws.amazon.com/marketplace/pp/prodview-t22mebxzwjhu6) e distribuitelo con un solo clic nel vostro AWS VPC. Si tratta di un'offerta AMI conveniente con l'opzione di creare app con logo e branding personalizzati.
|
||||
|
||||
## Resta Sempre Aggiornato
|
||||
|
||||
Mettete una stella a Dify su GitHub e ricevete notifiche immediate sui nuovi rilasci.
|
||||
|
||||

|
||||
|
||||
## Configurazioni Avanzate
|
||||
|
||||
Se dovete personalizzare la configurazione, leggete i commenti nel nostro file [.env.example](../../docker/.env.example) e aggiornate i valori corrispondenti nel vostro file `.env`. Inoltre, potrebbe essere necessario apportare modifiche al file `docker-compose.yaml`, come cambiare le versioni delle immagini, le mappature delle porte o i mount dei volumi, a seconda del vostro ambiente di distribuzione specifico e dei vostri requisiti. Dopo aver apportato le modifiche, riavviate `docker-compose up -d`. L'elenco completo delle variabili d'ambiente disponibili è disponibile [qui](https://docs.dify.ai/getting-started/install-self-hosted/environments).
|
||||
|
||||
### Monitoraggio delle Metriche con Grafana
|
||||
|
||||
Importate la dashboard in Grafana, utilizzando il database PostgreSQL di Dify come origine dati, per monitorare le metriche a livello di app, tenant, messaggi e altro ancora.
|
||||
|
||||
- [Dashboard Grafana di @bowenliang123](https://github.com/bowenliang123/dify-grafana-dashboard)
|
||||
|
||||
### Distribuzione con Kubernetes
|
||||
|
||||
Se desiderate configurare un'installazione ad alta disponibilità, ci sono [Helm Charts](https://helm.sh/) e file YAML forniti dalla community che consentono di distribuire Dify su Kubernetes.
|
||||
|
||||
- [Helm Chart di @LeoQuote](https://github.com/douban/charts/tree/master/charts/dify)
|
||||
- [Helm Chart di @BorisPolonsky](https://github.com/BorisPolonsky/dify-helm)
|
||||
- [Helm Chart di @magicsong](https://github.com/magicsong/ai-charts)
|
||||
- [File YAML di @Winson-030](https://github.com/Winson-030/dify-kubernetes)
|
||||
- [File YAML di @wyy-holding](https://github.com/wyy-holding/dify-k8s)
|
||||
- [🚀 NUOVO! File YAML (Supporta Dify v1.6.0) di @Zhoneym](https://github.com/Zhoneym/DifyAI-Kubernetes)
|
||||
|
||||
#### Utilizzo di Terraform per la Distribuzione
|
||||
|
||||
Distribuite Dify con un solo clic su una piattaforma cloud utilizzando [terraform](https://www.terraform.io/).
|
||||
|
||||
##### Azure Global
|
||||
|
||||
- [Azure Terraform di @nikawang](https://github.com/nikawang/dify-azure-terraform)
|
||||
|
||||
##### Google Cloud
|
||||
|
||||
- [Google Cloud Terraform di @sotazum](https://github.com/DeNA/dify-google-cloud-terraform)
|
||||
|
||||
#### Utilizzo di AWS CDK per la Distribuzione
|
||||
|
||||
Distribuzione di Dify su AWS con [CDK](https://aws.amazon.com/cdk/)
|
||||
|
||||
##### AWS
|
||||
|
||||
- [AWS CDK di @KevinZhao (basato su EKS)](https://github.com/aws-samples/solution-for-deploying-dify-on-aws)
|
||||
- [AWS CDK di @tmokmss (basato su ECS)](https://github.com/aws-samples/dify-self-hosted-on-aws)
|
||||
|
||||
#### Alibaba Cloud
|
||||
|
||||
[Alibaba Cloud Computing Nest](https://computenest.console.aliyun.com/service/instance/create/default?type=user&ServiceName=Dify%E7%A4%BE%E5%8C%BA%E7%89%88)
|
||||
|
||||
#### Alibaba Cloud Data Management
|
||||
|
||||
Distribuzione con un clic di Dify su Alibaba Cloud con [Alibaba Cloud Data Management](https://www.alibabacloud.com/help/en/dms/dify-in-invitational-preview/)
|
||||
|
||||
#### Utilizzo di Azure DevOps Pipeline per la Distribuzione su AKS
|
||||
|
||||
Distribuite Dify con un clic in AKS utilizzando [Azure DevOps Pipeline Helm Chart di @LeoZhang](https://github.com/Ruiruiz30/Dify-helm-chart-AKS)
|
||||
|
||||
## Contribuire
|
||||
|
||||
Se desiderate contribuire con codice, leggete la nostra [Guida ai Contributi](../../CONTRIBUTING.md). Allo stesso tempo, vi chiediamo di supportare Dify condividendolo sui social media e presentandolo a eventi e conferenze.
|
||||
|
||||
> Cerchiamo collaboratori che aiutino a tradurre Dify in altre lingue oltre al mandarino o all'inglese. Se siete interessati a collaborare, leggete il [README i18n](https://github.com/langgenius/dify/blob/main/web/i18n-config/README.md) per ulteriori informazioni e lasciate un commento nel canale `global-users` del nostro [server della community Discord](https://discord.gg/8Tpq4AcN9c).
|
||||
|
||||
## Community & Contatti
|
||||
|
||||
- [GitHub Discussion](https://github.com/langgenius/dify/discussions). Ideale per: condividere feedback e porre domande.
|
||||
- [GitHub Issues](https://github.com/langgenius/dify/issues). Ideale per: bug che riscontrate durante l'utilizzo di Dify.AI e proposte di funzionalità. Consultate la nostra [Guida ai Contributi](../../CONTRIBUTING.md).
|
||||
- [Discord](https://discord.gg/FngNHpbcY7). Ideale per: condividere le vostre applicazioni e interagire con la community.
|
||||
- [X(Twitter)](https://twitter.com/dify_ai). Ideale per: condividere le vostre applicazioni e interagire con la community.
|
||||
|
||||
**Collaboratori**
|
||||
|
||||
<a href="https://github.com/langgenius/dify/graphs/contributors">
|
||||
<img src="https://contrib.rocks/image?repo=langgenius/dify" />
|
||||
</a>
|
||||
|
||||
## Storia delle Stelle
|
||||
|
||||
[](https://star-history.com/#langgenius/dify&Date)
|
||||
|
||||
## Divulgazione sulla Sicurezza
|
||||
|
||||
Per proteggere la vostra privacy, evitate di pubblicare problemi di sicurezza su GitHub. Inviate invece le vostre domande a security@dify.ai e vi forniremo una risposta più dettagliata.
|
||||
|
||||
## Licenza
|
||||
|
||||
Questo repository è disponibile sotto la [Dify Open Source License](../../LICENSE), che è essenzialmente Apache 2.0 con alcune restrizioni aggiuntive.
|
||||
@@ -759,4 +759,104 @@ export default translation`
|
||||
expect(result).not.toContain('Zbuduj inteligentnego agenta')
|
||||
})
|
||||
})
|
||||
|
||||
describe('Performance and Scalability', () => {
|
||||
it('should handle large translation files efficiently', async () => {
|
||||
// Create a large translation file with 1000 keys
|
||||
const largeContent = `const translation = {
|
||||
${Array.from({ length: 1000 }, (_, i) => ` key${i}: 'value${i}',`).join('\n')}
|
||||
}
|
||||
|
||||
export default translation`
|
||||
|
||||
fs.writeFileSync(path.join(testEnDir, 'large.ts'), largeContent)
|
||||
|
||||
const startTime = Date.now()
|
||||
const keys = await getKeysFromLanguage('en-US')
|
||||
const endTime = Date.now()
|
||||
|
||||
expect(keys.length).toBe(1000)
|
||||
expect(endTime - startTime).toBeLessThan(1000) // Should complete in under 1 second
|
||||
})
|
||||
|
||||
it('should handle multiple translation files concurrently', async () => {
|
||||
// Create multiple files
|
||||
for (let i = 0; i < 10; i++) {
|
||||
const content = `const translation = {
|
||||
key${i}: 'value${i}',
|
||||
nested${i}: {
|
||||
subkey: 'subvalue'
|
||||
}
|
||||
}
|
||||
|
||||
export default translation`
|
||||
fs.writeFileSync(path.join(testEnDir, `file${i}.ts`), content)
|
||||
}
|
||||
|
||||
const startTime = Date.now()
|
||||
const keys = await getKeysFromLanguage('en-US')
|
||||
const endTime = Date.now()
|
||||
|
||||
expect(keys.length).toBe(20) // 10 files * 2 keys each
|
||||
expect(endTime - startTime).toBeLessThan(500)
|
||||
})
|
||||
})
|
||||
|
||||
describe('Unicode and Internationalization', () => {
|
||||
it('should handle Unicode characters in keys and values', async () => {
|
||||
const unicodeContent = `const translation = {
|
||||
'中文键': '中文值',
|
||||
'العربية': 'قيمة',
|
||||
'emoji_😀': 'value with emoji 🎉',
|
||||
'mixed_中文_English': 'mixed value'
|
||||
}
|
||||
|
||||
export default translation`
|
||||
|
||||
fs.writeFileSync(path.join(testEnDir, 'unicode.ts'), unicodeContent)
|
||||
|
||||
const keys = await getKeysFromLanguage('en-US')
|
||||
|
||||
expect(keys).toContain('unicode.中文键')
|
||||
expect(keys).toContain('unicode.العربية')
|
||||
expect(keys).toContain('unicode.emoji_😀')
|
||||
expect(keys).toContain('unicode.mixed_中文_English')
|
||||
})
|
||||
|
||||
it('should handle RTL language files', async () => {
|
||||
const rtlContent = `const translation = {
|
||||
مرحبا: 'Hello',
|
||||
العالم: 'World',
|
||||
nested: {
|
||||
مفتاح: 'key'
|
||||
}
|
||||
}
|
||||
|
||||
export default translation`
|
||||
|
||||
fs.writeFileSync(path.join(testEnDir, 'rtl.ts'), rtlContent)
|
||||
|
||||
const keys = await getKeysFromLanguage('en-US')
|
||||
|
||||
expect(keys).toContain('rtl.مرحبا')
|
||||
expect(keys).toContain('rtl.العالم')
|
||||
expect(keys).toContain('rtl.nested.مفتاح')
|
||||
})
|
||||
})
|
||||
|
||||
describe('Error Recovery', () => {
|
||||
it('should handle syntax errors in translation files gracefully', async () => {
|
||||
const invalidContent = `const translation = {
|
||||
validKey: 'valid value',
|
||||
invalidKey: 'missing quote,
|
||||
anotherKey: 'another value'
|
||||
}
|
||||
|
||||
export default translation`
|
||||
|
||||
fs.writeFileSync(path.join(testEnDir, 'invalid.ts'), invalidContent)
|
||||
|
||||
await expect(getKeysFromLanguage('en-US')).rejects.toThrow()
|
||||
})
|
||||
})
|
||||
})
|
||||
|
||||
@@ -286,4 +286,116 @@ describe('Navigation Utilities', () => {
|
||||
expect(mockPush).toHaveBeenCalledWith('/datasets/filtered-set/documents?page=1&limit=50&status=active&type=pdf&sort=created_at&order=desc')
|
||||
})
|
||||
})
|
||||
|
||||
describe('Edge Cases and Error Handling', () => {
|
||||
test('handles special characters in query parameters', () => {
|
||||
Object.defineProperty(window, 'location', {
|
||||
value: { search: '?keyword=hello%20world&filter=type%3Apdf&tag=%E4%B8%AD%E6%96%87' },
|
||||
writable: true,
|
||||
})
|
||||
|
||||
const path = createNavigationPath('/datasets/123/documents')
|
||||
expect(path).toContain('hello+world')
|
||||
expect(path).toContain('type%3Apdf')
|
||||
expect(path).toContain('%E4%B8%AD%E6%96%87')
|
||||
})
|
||||
|
||||
test('handles duplicate query parameters', () => {
|
||||
Object.defineProperty(window, 'location', {
|
||||
value: { search: '?tag=tag1&tag=tag2&tag=tag3' },
|
||||
writable: true,
|
||||
})
|
||||
|
||||
const params = extractQueryParams(['tag'])
|
||||
// URLSearchParams.get() returns the first value
|
||||
expect(params.tag).toBe('tag1')
|
||||
})
|
||||
|
||||
test('handles very long query strings', () => {
|
||||
const longValue = 'a'.repeat(1000)
|
||||
Object.defineProperty(window, 'location', {
|
||||
value: { search: `?data=${longValue}` },
|
||||
writable: true,
|
||||
})
|
||||
|
||||
const path = createNavigationPath('/datasets/123/documents')
|
||||
expect(path).toContain(longValue)
|
||||
expect(path.length).toBeGreaterThan(1000)
|
||||
})
|
||||
|
||||
test('handles empty string values in query parameters', () => {
|
||||
const path = createNavigationPathWithParams('/datasets/123/documents', {
|
||||
page: 1,
|
||||
keyword: '',
|
||||
filter: '',
|
||||
sort: 'name',
|
||||
})
|
||||
|
||||
expect(path).toBe('/datasets/123/documents?page=1&sort=name')
|
||||
expect(path).not.toContain('keyword=')
|
||||
expect(path).not.toContain('filter=')
|
||||
})
|
||||
|
||||
test('handles null and undefined values in mergeQueryParams', () => {
|
||||
Object.defineProperty(window, 'location', {
|
||||
value: { search: '?page=1&limit=10&keyword=test' },
|
||||
writable: true,
|
||||
})
|
||||
|
||||
const merged = mergeQueryParams({
|
||||
keyword: null,
|
||||
filter: undefined,
|
||||
sort: 'name',
|
||||
})
|
||||
const result = merged.toString()
|
||||
|
||||
expect(result).toContain('page=1')
|
||||
expect(result).toContain('limit=10')
|
||||
expect(result).not.toContain('keyword')
|
||||
expect(result).toContain('sort=name')
|
||||
})
|
||||
|
||||
test('handles navigation with hash fragments', () => {
|
||||
Object.defineProperty(window, 'location', {
|
||||
value: { search: '?page=1', hash: '#section-2' },
|
||||
writable: true,
|
||||
})
|
||||
|
||||
const path = createNavigationPath('/datasets/123/documents')
|
||||
// Should preserve query params but not hash
|
||||
expect(path).toBe('/datasets/123/documents?page=1')
|
||||
})
|
||||
|
||||
test('handles malformed query strings gracefully', () => {
|
||||
Object.defineProperty(window, 'location', {
|
||||
value: { search: '?page=1&invalid&limit=10&=value&key=' },
|
||||
writable: true,
|
||||
})
|
||||
|
||||
const params = extractQueryParams(['page', 'limit', 'invalid', 'key'])
|
||||
expect(params.page).toBe('1')
|
||||
expect(params.limit).toBe('10')
|
||||
// Malformed params should be handled by URLSearchParams
|
||||
expect(params.invalid).toBe('') // for `&invalid`
|
||||
expect(params.key).toBe('') // for `&key=`
|
||||
})
|
||||
})
|
||||
|
||||
describe('Performance Tests', () => {
|
||||
test('handles large number of query parameters efficiently', () => {
|
||||
const manyParams = Array.from({ length: 50 }, (_, i) => `param${i}=value${i}`).join('&')
|
||||
Object.defineProperty(window, 'location', {
|
||||
value: { search: `?${manyParams}` },
|
||||
writable: true,
|
||||
})
|
||||
|
||||
const startTime = Date.now()
|
||||
const path = createNavigationPath('/datasets/123/documents')
|
||||
const endTime = Date.now()
|
||||
|
||||
expect(endTime - startTime).toBeLessThan(50) // Should be fast
|
||||
expect(path).toContain('param0=value0')
|
||||
expect(path).toContain('param49=value49')
|
||||
})
|
||||
})
|
||||
})
|
||||
|
||||
@@ -0,0 +1,41 @@
|
||||
'use client'
|
||||
import type { FC, SVGProps } from 'react'
|
||||
import React from 'react'
|
||||
import Link from 'next/link'
|
||||
import { Trans, useTranslation } from 'react-i18next'
|
||||
import { basePath } from '@/utils/var'
|
||||
import { getRedirectionPath } from '@/utils/app-redirection'
|
||||
import type { App, AppMode } from '@/types/app'
|
||||
|
||||
const ThreeDotsIcon = ({ className }: SVGProps<SVGElement>) => {
|
||||
return <svg width="16" height="16" viewBox="0 0 16 16" fill="none" xmlns="http://www.w3.org/2000/svg" className={className ?? ''}>
|
||||
<path d="M5 6.5V5M8.93934 7.56066L10 6.5M10.0103 11.5H11.5103" stroke="currentColor" strokeWidth="2" strokeLinecap="round" strokeLinejoin="round" />
|
||||
</svg>
|
||||
}
|
||||
|
||||
const EmptyElement: FC<{ appDetail: App }> = ({ appDetail }) => {
|
||||
const { t } = useTranslation()
|
||||
|
||||
const getWebAppType = (appType: AppMode) => {
|
||||
if (appType !== 'completion' && appType !== 'workflow')
|
||||
return 'chat'
|
||||
return appType
|
||||
}
|
||||
|
||||
return <div className='flex h-full items-center justify-center'>
|
||||
<div className='box-border h-fit w-[560px] rounded-2xl bg-background-section-burn px-5 py-4'>
|
||||
<span className='system-md-semibold text-text-secondary'>{t('appLog.table.empty.element.title')}<ThreeDotsIcon className='relative -left-1.5 -top-3 inline text-text-secondary' /></span>
|
||||
<div className='system-sm-regular mt-2 text-text-tertiary'>
|
||||
<Trans
|
||||
i18nKey="appLog.table.empty.element.content"
|
||||
components={{
|
||||
shareLink: <Link href={`${appDetail.site.app_base_url}${basePath}/${getWebAppType(appDetail.mode)}/${appDetail.site.access_token}`} className='text-util-colors-blue-blue-600' target='_blank' rel='noopener noreferrer' />,
|
||||
testLink: <Link href={getRedirectionPath(true, appDetail)} className='text-util-colors-blue-blue-600' />,
|
||||
}}
|
||||
/>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
}
|
||||
|
||||
export default React.memo(EmptyElement)
|
||||
@@ -1,21 +1,19 @@
|
||||
'use client'
|
||||
import type { FC, SVGProps } from 'react'
|
||||
import type { FC } from 'react'
|
||||
import React, { useState } from 'react'
|
||||
import useSWR from 'swr'
|
||||
import Link from 'next/link'
|
||||
import { usePathname } from 'next/navigation'
|
||||
import { useDebounce } from 'ahooks'
|
||||
import { omit } from 'lodash-es'
|
||||
import dayjs from 'dayjs'
|
||||
import { basePath } from '@/utils/var'
|
||||
import { Trans, useTranslation } from 'react-i18next'
|
||||
import { useTranslation } from 'react-i18next'
|
||||
import List from './list'
|
||||
import Filter, { TIME_PERIOD_MAPPING } from './filter'
|
||||
import EmptyElement from './empty-element'
|
||||
import Pagination from '@/app/components/base/pagination'
|
||||
import Loading from '@/app/components/base/loading'
|
||||
import { fetchChatConversations, fetchCompletionConversations } from '@/service/log'
|
||||
import { APP_PAGE_LIMIT } from '@/config'
|
||||
import type { App, AppMode } from '@/types/app'
|
||||
import type { App } from '@/types/app'
|
||||
export type ILogsProps = {
|
||||
appDetail: App
|
||||
}
|
||||
@@ -27,30 +25,6 @@ export type QueryParam = {
|
||||
sort_by?: string
|
||||
}
|
||||
|
||||
const ThreeDotsIcon = ({ className }: SVGProps<SVGElement>) => {
|
||||
return <svg width="16" height="16" viewBox="0 0 16 16" fill="none" xmlns="http://www.w3.org/2000/svg" className={className ?? ''}>
|
||||
<path d="M5 6.5V5M8.93934 7.56066L10 6.5M10.0103 11.5H11.5103" stroke="#374151" strokeWidth="2" strokeLinecap="round" strokeLinejoin="round" />
|
||||
</svg>
|
||||
}
|
||||
|
||||
const EmptyElement: FC<{ appUrl: string }> = ({ appUrl }) => {
|
||||
const { t } = useTranslation()
|
||||
const pathname = usePathname()
|
||||
const pathSegments = pathname.split('/')
|
||||
pathSegments.pop()
|
||||
return <div className='flex h-full items-center justify-center'>
|
||||
<div className='box-border h-fit w-[560px] rounded-2xl bg-background-section-burn px-5 py-4'>
|
||||
<span className='system-md-semibold text-text-secondary'>{t('appLog.table.empty.element.title')}<ThreeDotsIcon className='relative -left-1.5 -top-3 inline' /></span>
|
||||
<div className='system-sm-regular mt-2 text-text-tertiary'>
|
||||
<Trans
|
||||
i18nKey="appLog.table.empty.element.content"
|
||||
components={{ shareLink: <Link href={`${pathSegments.join('/')}/overview`} className='text-util-colors-blue-blue-600' />, testLink: <Link href={appUrl} className='text-util-colors-blue-blue-600' target='_blank' rel='noopener noreferrer' /> }}
|
||||
/>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
}
|
||||
|
||||
const Logs: FC<ILogsProps> = ({ appDetail }) => {
|
||||
const { t } = useTranslation()
|
||||
const [queryParams, setQueryParams] = useState<QueryParam>({
|
||||
@@ -78,12 +52,6 @@ const Logs: FC<ILogsProps> = ({ appDetail }) => {
|
||||
...omit(debouncedQueryParams, ['period']),
|
||||
}
|
||||
|
||||
const getWebAppType = (appType: AppMode) => {
|
||||
if (appType !== 'completion' && appType !== 'workflow')
|
||||
return 'chat'
|
||||
return appType
|
||||
}
|
||||
|
||||
// When the details are obtained, proceed to the next request
|
||||
const { data: chatConversations, mutate: mutateChatList } = useSWR(() => isChatMode
|
||||
? {
|
||||
@@ -110,7 +78,7 @@ const Logs: FC<ILogsProps> = ({ appDetail }) => {
|
||||
? <Loading type='app' />
|
||||
: total > 0
|
||||
? <List logs={isChatMode ? chatConversations : completionConversations} appDetail={appDetail} onRefresh={isChatMode ? mutateChatList : mutateCompletionList} />
|
||||
: <EmptyElement appUrl={`${appDetail.site.app_base_url}${basePath}/${getWebAppType(appDetail.mode)}/${appDetail.site.access_token}`} />
|
||||
: <EmptyElement appDetail={appDetail} />
|
||||
}
|
||||
{/* Show Pagination only if the total is more than the limit */}
|
||||
{(total && total > APP_PAGE_LIMIT)
|
||||
|
||||
@@ -1,23 +1,21 @@
|
||||
'use client'
|
||||
import type { FC, SVGProps } from 'react'
|
||||
import type { FC } from 'react'
|
||||
import React, { useState } from 'react'
|
||||
import useSWR from 'swr'
|
||||
import { usePathname } from 'next/navigation'
|
||||
import { useDebounce } from 'ahooks'
|
||||
import { omit } from 'lodash-es'
|
||||
import dayjs from 'dayjs'
|
||||
import utc from 'dayjs/plugin/utc'
|
||||
import timezone from 'dayjs/plugin/timezone'
|
||||
import { Trans, useTranslation } from 'react-i18next'
|
||||
import Link from 'next/link'
|
||||
import { useTranslation } from 'react-i18next'
|
||||
import List from './list'
|
||||
import { basePath } from '@/utils/var'
|
||||
import Filter, { TIME_PERIOD_MAPPING } from './filter'
|
||||
import EmptyElement from '@/app/components/app/log/empty-element'
|
||||
import Pagination from '@/app/components/base/pagination'
|
||||
import Loading from '@/app/components/base/loading'
|
||||
import { fetchWorkflowLogs } from '@/service/log'
|
||||
import { APP_PAGE_LIMIT } from '@/config'
|
||||
import type { App, AppMode } from '@/types/app'
|
||||
import type { App } from '@/types/app'
|
||||
import { useAppContext } from '@/context/app-context'
|
||||
|
||||
dayjs.extend(utc)
|
||||
@@ -33,29 +31,6 @@ export type QueryParam = {
|
||||
keyword?: string
|
||||
}
|
||||
|
||||
const ThreeDotsIcon = ({ className }: SVGProps<SVGElement>) => {
|
||||
return <svg width="16" height="16" viewBox="0 0 16 16" fill="none" xmlns="http://www.w3.org/2000/svg" className={className ?? ''}>
|
||||
<path d="M5 6.5V5M8.93934 7.56066L10 6.5M10.0103 11.5H11.5103" stroke="#374151" strokeWidth="2" strokeLinecap="round" strokeLinejoin="round" />
|
||||
</svg>
|
||||
}
|
||||
const EmptyElement: FC<{ appUrl: string }> = ({ appUrl }) => {
|
||||
const { t } = useTranslation()
|
||||
const pathname = usePathname()
|
||||
const pathSegments = pathname.split('/')
|
||||
pathSegments.pop()
|
||||
return <div className='flex h-full items-center justify-center'>
|
||||
<div className='box-border h-fit w-[560px] rounded-2xl bg-background-section-burn px-5 py-4'>
|
||||
<span className='system-md-semibold text-text-secondary'>{t('appLog.table.empty.element.title')}<ThreeDotsIcon className='relative -left-1.5 -top-3 inline' /></span>
|
||||
<div className='system-sm-regular mt-2 text-text-tertiary'>
|
||||
<Trans
|
||||
i18nKey="appLog.table.empty.element.content"
|
||||
components={{ shareLink: <Link href={`${pathSegments.join('/')}/overview`} className='text-util-colors-blue-blue-600' />, testLink: <Link href={appUrl} className='text-util-colors-blue-blue-600' target='_blank' rel='noopener noreferrer' /> }}
|
||||
/>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
}
|
||||
|
||||
const Logs: FC<ILogsProps> = ({ appDetail }) => {
|
||||
const { t } = useTranslation()
|
||||
const { userProfile: { timezone } } = useAppContext()
|
||||
@@ -78,12 +53,6 @@ const Logs: FC<ILogsProps> = ({ appDetail }) => {
|
||||
...omit(debouncedQueryParams, ['period', 'status']),
|
||||
}
|
||||
|
||||
const getWebAppType = (appType: AppMode) => {
|
||||
if (appType !== 'completion' && appType !== 'workflow')
|
||||
return 'chat'
|
||||
return appType
|
||||
}
|
||||
|
||||
const { data: workflowLogs, mutate } = useSWR({
|
||||
url: `/apps/${appDetail.id}/workflow-app-logs`,
|
||||
params: query,
|
||||
@@ -101,7 +70,7 @@ const Logs: FC<ILogsProps> = ({ appDetail }) => {
|
||||
? <Loading type='app' />
|
||||
: total > 0
|
||||
? <List logs={workflowLogs} appDetail={appDetail} onRefresh={mutate} />
|
||||
: <EmptyElement appUrl={`${appDetail.site.app_base_url}${basePath}/${getWebAppType(appDetail.mode)}/${appDetail.site.access_token}`} />
|
||||
: <EmptyElement appDetail={appDetail} />
|
||||
}
|
||||
{/* Show Pagination only if the total is more than the limit */}
|
||||
{(total && total > APP_PAGE_LIMIT)
|
||||
|
||||
@@ -144,15 +144,23 @@ const List = () => {
|
||||
return
|
||||
}
|
||||
|
||||
if (anchorRef.current) {
|
||||
if (anchorRef.current && containerRef.current) {
|
||||
// Calculate dynamic rootMargin: clamps to 100-200px range, using 20% of container height as the base value for better responsiveness
|
||||
const containerHeight = containerRef.current.clientHeight
|
||||
const dynamicMargin = Math.max(100, Math.min(containerHeight * 0.2, 200)) // Clamps to 100-200px range, using 20% of container height as the base value
|
||||
|
||||
observer = new IntersectionObserver((entries) => {
|
||||
if (entries[0].isIntersecting && !isLoading && !error && hasMore)
|
||||
setSize((size: number) => size + 1)
|
||||
}, { rootMargin: '100px' })
|
||||
}, {
|
||||
root: containerRef.current,
|
||||
rootMargin: `${dynamicMargin}px`,
|
||||
threshold: 0.1, // Trigger when 10% of the anchor element is visible
|
||||
})
|
||||
observer.observe(anchorRef.current)
|
||||
}
|
||||
return () => observer?.disconnect()
|
||||
}, [isLoading, setSize, anchorRef, mutate, data, error])
|
||||
}, [isLoading, setSize, data, error])
|
||||
|
||||
const { run: handleSearch } = useDebounceFn(() => {
|
||||
setSearchKeywords(keywords)
|
||||
|
||||
@@ -11,6 +11,7 @@ import type { FileEntity } from './types'
|
||||
import { useFileStore } from './store'
|
||||
import {
|
||||
fileUpload,
|
||||
getFileUploadErrorMessage,
|
||||
getSupportFileType,
|
||||
isAllowedFileExtension,
|
||||
} from './utils'
|
||||
@@ -172,8 +173,9 @@ export const useFile = (fileConfig: FileUpload) => {
|
||||
onSuccessCallback: (res) => {
|
||||
handleUpdateFile({ ...uploadingFile, uploadedId: res.id, progress: 100 })
|
||||
},
|
||||
onErrorCallback: () => {
|
||||
notify({ type: 'error', message: t('common.fileUploader.uploadFromComputerUploadError') })
|
||||
onErrorCallback: (error?: any) => {
|
||||
const errorMessage = getFileUploadErrorMessage(error, t('common.fileUploader.uploadFromComputerUploadError'), t)
|
||||
notify({ type: 'error', message: errorMessage })
|
||||
handleUpdateFile({ ...uploadingFile, progress: -1 })
|
||||
},
|
||||
}, !!params.token)
|
||||
@@ -279,8 +281,9 @@ export const useFile = (fileConfig: FileUpload) => {
|
||||
onSuccessCallback: (res) => {
|
||||
handleUpdateFile({ ...uploadingFile, uploadedId: res.id, progress: 100 })
|
||||
},
|
||||
onErrorCallback: () => {
|
||||
notify({ type: 'error', message: t('common.fileUploader.uploadFromComputerUploadError') })
|
||||
onErrorCallback: (error?: any) => {
|
||||
const errorMessage = getFileUploadErrorMessage(error, t('common.fileUploader.uploadFromComputerUploadError'), t)
|
||||
notify({ type: 'error', message: errorMessage })
|
||||
handleUpdateFile({ ...uploadingFile, progress: -1 })
|
||||
},
|
||||
}, !!params.token)
|
||||
|
||||
@@ -7,11 +7,30 @@ import { SupportUploadFileTypes } from '@/app/components/workflow/types'
|
||||
import type { FileResponse } from '@/types/workflow'
|
||||
import { TransferMethod } from '@/types/app'
|
||||
|
||||
/**
|
||||
* Get appropriate error message for file upload errors
|
||||
* @param error - The error object from upload failure
|
||||
* @param defaultMessage - Default error message to use if no specific error is matched
|
||||
* @param t - Translation function
|
||||
* @returns Localized error message
|
||||
*/
|
||||
export const getFileUploadErrorMessage = (error: any, defaultMessage: string, t: (key: string) => string): string => {
|
||||
const errorCode = error?.response?.code
|
||||
|
||||
if (errorCode === 'forbidden')
|
||||
return error?.response?.message
|
||||
|
||||
if (errorCode === 'file_extension_blocked')
|
||||
return t('common.fileUploader.fileExtensionBlocked')
|
||||
|
||||
return defaultMessage
|
||||
}
|
||||
|
||||
type FileUploadParams = {
|
||||
file: File
|
||||
onProgressCallback: (progress: number) => void
|
||||
onSuccessCallback: (res: { id: string }) => void
|
||||
onErrorCallback: () => void
|
||||
onErrorCallback: (error?: any) => void
|
||||
}
|
||||
type FileUpload = (v: FileUploadParams, isPublic?: boolean, url?: string) => void
|
||||
export const fileUpload: FileUpload = ({
|
||||
@@ -37,8 +56,8 @@ export const fileUpload: FileUpload = ({
|
||||
.then((res: { id: string }) => {
|
||||
onSuccessCallback(res)
|
||||
})
|
||||
.catch(() => {
|
||||
onErrorCallback()
|
||||
.catch((error) => {
|
||||
onErrorCallback(error)
|
||||
})
|
||||
}
|
||||
|
||||
|
||||
@@ -2,7 +2,7 @@ import { useCallback, useMemo, useRef, useState } from 'react'
|
||||
import type { ClipboardEvent } from 'react'
|
||||
import { useParams } from 'next/navigation'
|
||||
import { useTranslation } from 'react-i18next'
|
||||
import { imageUpload } from './utils'
|
||||
import { getImageUploadErrorMessage, imageUpload } from './utils'
|
||||
import { useToastContext } from '@/app/components/base/toast'
|
||||
import { ALLOW_FILE_EXTENSIONS, TransferMethod } from '@/types/app'
|
||||
import type { ImageFile, VisionSettings } from '@/types/app'
|
||||
@@ -81,8 +81,9 @@ export const useImageFiles = () => {
|
||||
filesRef.current = newFiles
|
||||
setFiles(newFiles)
|
||||
},
|
||||
onErrorCallback: () => {
|
||||
notify({ type: 'error', message: t('common.imageUploader.uploadFromComputerUploadError') })
|
||||
onErrorCallback: (error?: any) => {
|
||||
const errorMessage = getImageUploadErrorMessage(error, t('common.imageUploader.uploadFromComputerUploadError'), t)
|
||||
notify({ type: 'error', message: errorMessage })
|
||||
const newFiles = [...files.slice(0, index), { ...currentImageFile, progress: -1 }, ...files.slice(index + 1)]
|
||||
filesRef.current = newFiles
|
||||
setFiles(newFiles)
|
||||
@@ -158,8 +159,9 @@ export const useLocalFileUploader = ({ limit, disabled = false, onUpload }: useL
|
||||
onSuccessCallback: (res) => {
|
||||
onUpload({ ...imageFile, fileId: res.id, progress: 100 })
|
||||
},
|
||||
onErrorCallback: () => {
|
||||
notify({ type: 'error', message: t('common.imageUploader.uploadFromComputerUploadError') })
|
||||
onErrorCallback: (error?: any) => {
|
||||
const errorMessage = getImageUploadErrorMessage(error, t('common.imageUploader.uploadFromComputerUploadError'), t)
|
||||
notify({ type: 'error', message: errorMessage })
|
||||
onUpload({ ...imageFile, progress: -1 })
|
||||
},
|
||||
}, !!params.token)
|
||||
|
||||
@@ -1,10 +1,29 @@
|
||||
import { upload } from '@/service/base'
|
||||
|
||||
/**
|
||||
* Get appropriate error message for image upload errors
|
||||
* @param error - The error object from upload failure
|
||||
* @param defaultMessage - Default error message to use if no specific error is matched
|
||||
* @param t - Translation function
|
||||
* @returns Localized error message
|
||||
*/
|
||||
export const getImageUploadErrorMessage = (error: any, defaultMessage: string, t: (key: string) => string): string => {
|
||||
const errorCode = error?.response?.code
|
||||
|
||||
if (errorCode === 'forbidden')
|
||||
return error?.response?.message
|
||||
|
||||
if (errorCode === 'file_extension_blocked')
|
||||
return t('common.fileUploader.fileExtensionBlocked')
|
||||
|
||||
return defaultMessage
|
||||
}
|
||||
|
||||
type ImageUploadParams = {
|
||||
file: File
|
||||
onProgressCallback: (progress: number) => void
|
||||
onSuccessCallback: (res: { id: string }) => void
|
||||
onErrorCallback: () => void
|
||||
onErrorCallback: (error?: any) => void
|
||||
}
|
||||
type ImageUpload = (v: ImageUploadParams, isPublic?: boolean, url?: string) => void
|
||||
export const imageUpload: ImageUpload = ({
|
||||
@@ -30,7 +49,7 @@ export const imageUpload: ImageUpload = ({
|
||||
.then((res: { id: string }) => {
|
||||
onSuccessCallback(res)
|
||||
})
|
||||
.catch(() => {
|
||||
onErrorCallback()
|
||||
.catch((error) => {
|
||||
onErrorCallback(error)
|
||||
})
|
||||
}
|
||||
|
||||
@@ -32,8 +32,8 @@ export const preprocessLaTeX = (content: string) => {
|
||||
}
|
||||
|
||||
export const preprocessThinkTag = (content: string) => {
|
||||
const thinkOpenTagRegex = /(<think>\n)+/g
|
||||
const thinkCloseTagRegex = /\n<\/think>/g
|
||||
const thinkOpenTagRegex = /(<think>\s*)+/g
|
||||
const thinkCloseTagRegex = /(\s*<\/think>)+/g
|
||||
return flow([
|
||||
(str: string) => str.replace(thinkOpenTagRegex, '<details data-think=true>\n'),
|
||||
(str: string) => str.replace(thinkCloseTagRegex, '\n[ENDTHINKFLAG]</details>'),
|
||||
|
||||
@@ -16,7 +16,7 @@ import Button from '@/app/components/base/button'
|
||||
import Divider from '@/app/components/base/divider'
|
||||
import { useProviderContext } from '@/context/provider-context'
|
||||
import { Plan } from '@/app/components/billing/type'
|
||||
import { imageUpload } from '@/app/components/base/image-uploader/utils'
|
||||
import { getImageUploadErrorMessage, imageUpload } from '@/app/components/base/image-uploader/utils'
|
||||
import { useToastContext } from '@/app/components/base/toast'
|
||||
import { BubbleTextMod } from '@/app/components/base/icons/src/vender/solid/communication'
|
||||
import {
|
||||
@@ -67,8 +67,9 @@ const CustomWebAppBrand = () => {
|
||||
setUploadProgress(100)
|
||||
setFileId(res.id)
|
||||
},
|
||||
onErrorCallback: () => {
|
||||
notify({ type: 'error', message: t('common.imageUploader.uploadFromComputerUploadError') })
|
||||
onErrorCallback: (error?: any) => {
|
||||
const errorMessage = getImageUploadErrorMessage(error, t('common.imageUploader.uploadFromComputerUploadError'), t)
|
||||
notify({ type: 'error', message: errorMessage })
|
||||
setUploadProgress(-1)
|
||||
},
|
||||
}, false, '/workspaces/custom-config/webapp-logo/upload')
|
||||
|
||||
@@ -18,6 +18,7 @@ import { LanguagesSupported } from '@/i18n-config/language'
|
||||
import { IS_CE_EDITION } from '@/config'
|
||||
import { Theme } from '@/types/app'
|
||||
import useTheme from '@/hooks/use-theme'
|
||||
import { getFileUploadErrorMessage } from '@/app/components/base/file-uploader/utils'
|
||||
|
||||
type IFileUploaderProps = {
|
||||
fileList: FileItem[]
|
||||
@@ -134,7 +135,8 @@ const FileUploader = ({
|
||||
return Promise.resolve({ ...completeFile })
|
||||
})
|
||||
.catch((e) => {
|
||||
notify({ type: 'error', message: e?.response?.code === 'forbidden' ? e?.response?.message : t('datasetCreation.stepOne.uploader.failed') })
|
||||
const errorMessage = getFileUploadErrorMessage(e, t('datasetCreation.stepOne.uploader.failed'), t)
|
||||
notify({ type: 'error', message: errorMessage })
|
||||
onFileUpdate(fileItem, -2, fileListRef.current)
|
||||
return Promise.resolve({ ...fileItem })
|
||||
})
|
||||
|
||||
+3
-1
@@ -8,6 +8,7 @@ import cn from '@/utils/classnames'
|
||||
import type { CustomFile as File, FileItem } from '@/models/datasets'
|
||||
import { ToastContext } from '@/app/components/base/toast'
|
||||
import { upload } from '@/service/base'
|
||||
import { getFileUploadErrorMessage } from '@/app/components/base/file-uploader/utils'
|
||||
import I18n from '@/context/i18n'
|
||||
import { LanguagesSupported } from '@/i18n-config/language'
|
||||
import { IS_CE_EDITION } from '@/config'
|
||||
@@ -154,7 +155,8 @@ const LocalFile = ({
|
||||
return Promise.resolve({ ...completeFile })
|
||||
})
|
||||
.catch((e) => {
|
||||
notify({ type: 'error', message: e?.response?.code === 'forbidden' ? e?.response?.message : t('datasetCreation.stepOne.uploader.failed') })
|
||||
const errorMessage = getFileUploadErrorMessage(e, t('datasetCreation.stepOne.uploader.failed'), t)
|
||||
notify({ type: 'error', message: errorMessage })
|
||||
updateFile(fileItem, -2, fileListRef.current)
|
||||
return Promise.resolve({ ...fileItem })
|
||||
})
|
||||
|
||||
@@ -12,6 +12,7 @@ import { ToastContext } from '@/app/components/base/toast'
|
||||
import Button from '@/app/components/base/button'
|
||||
import type { FileItem } from '@/models/datasets'
|
||||
import { upload } from '@/service/base'
|
||||
import { getFileUploadErrorMessage } from '@/app/components/base/file-uploader/utils'
|
||||
import useSWR from 'swr'
|
||||
import { fetchFileUploadConfig } from '@/service/common'
|
||||
import SimplePieChart from '@/app/components/base/simple-pie-chart'
|
||||
@@ -74,7 +75,8 @@ const CSVUploader: FC<Props> = ({
|
||||
return Promise.resolve({ ...completeFile })
|
||||
})
|
||||
.catch((e) => {
|
||||
notify({ type: 'error', message: e?.response?.code === 'forbidden' ? e?.response?.message : t('datasetCreation.stepOne.uploader.failed') })
|
||||
const errorMessage = getFileUploadErrorMessage(e, t('datasetCreation.stepOne.uploader.failed'), t)
|
||||
notify({ type: 'error', message: errorMessage })
|
||||
const errorFile = {
|
||||
...fileItem,
|
||||
progress: -2,
|
||||
|
||||
@@ -146,8 +146,8 @@ const Form = () => {
|
||||
return
|
||||
}
|
||||
if (retrievalConfig.weights) {
|
||||
retrievalConfig.weights.vector_setting.embedding_provider_name = currentDataset?.embedding_model_provider || ''
|
||||
retrievalConfig.weights.vector_setting.embedding_model_name = currentDataset?.embedding_model || ''
|
||||
retrievalConfig.weights.vector_setting.embedding_provider_name = embeddingModel.provider || ''
|
||||
retrievalConfig.weights.vector_setting.embedding_model_name = embeddingModel.model || ''
|
||||
}
|
||||
try {
|
||||
setLoading(true)
|
||||
|
||||
@@ -63,7 +63,7 @@ const PluginTasks = () => {
|
||||
|
||||
return (
|
||||
<div
|
||||
className='flex items-center'
|
||||
className={cn('flex items-center', opacity < 0 && 'hidden')}
|
||||
style={{ opacity }}
|
||||
>
|
||||
<PortalToFollowElem
|
||||
|
||||
+4
-1
@@ -12,7 +12,10 @@ const AddField = () => {
|
||||
|
||||
const handleAddField = useCallback(() => {
|
||||
setIsAddingNewField(true)
|
||||
emit('addField', { path: [] })
|
||||
// fix: when user change the last property type, the 'hoveringProperty' value will be reset by 'setHoveringPropertyDebounced(null)', that cause the EditCard not showing
|
||||
setTimeout(() => {
|
||||
emit('addField', { path: [] })
|
||||
}, 100)
|
||||
}, [setIsAddingNewField, emit])
|
||||
|
||||
return (
|
||||
|
||||
+2
-1
@@ -122,7 +122,8 @@ const EditCard: FC<EditCardProps> = ({
|
||||
}, [emit, path, parentPath, fields, currentFields])
|
||||
|
||||
const handlePropertyNameChange = useCallback((e: React.ChangeEvent<HTMLInputElement>) => {
|
||||
setCurrentFields(prev => ({ ...prev, name: e.target.value }))
|
||||
// fix: when user add name contains space, the variable reference will not work
|
||||
setCurrentFields(prev => ({ ...prev, name: e.target.value?.trim() }))
|
||||
}, [])
|
||||
|
||||
const handlePropertyNameBlur = useCallback(() => {
|
||||
|
||||
@@ -5,6 +5,7 @@ import type {
|
||||
IterationDurationMap,
|
||||
NodeTracing,
|
||||
} from '@/types/workflow'
|
||||
import { NodeRunningStatus } from '@/app/components/workflow/types'
|
||||
import { Iteration } from '@/app/components/base/icons/src/vender/workflow'
|
||||
|
||||
type IterationLogTriggerProps = {
|
||||
@@ -54,6 +55,30 @@ const IterationLogTrigger = ({
|
||||
structuredList = instanceKeys
|
||||
.map(key => filterNodesForInstance(key))
|
||||
.filter(branchNodes => branchNodes.length > 0)
|
||||
|
||||
// Also include failed iterations that might not be in duration map
|
||||
if (allExecutions && nodeInfo.details?.length) {
|
||||
const existingIterationIndices = new Set<number>()
|
||||
structuredList.forEach((iteration) => {
|
||||
iteration.forEach((node) => {
|
||||
if (node.execution_metadata?.iteration_index !== undefined)
|
||||
existingIterationIndices.add(node.execution_metadata.iteration_index)
|
||||
})
|
||||
})
|
||||
|
||||
// Find failed iterations that are not in the structured list
|
||||
nodeInfo.details.forEach((iteration, index) => {
|
||||
if (!existingIterationIndices.has(index) && iteration.some(node => node.status === NodeRunningStatus.Failed))
|
||||
structuredList.push(iteration)
|
||||
})
|
||||
|
||||
// Sort by iteration index to maintain order
|
||||
structuredList.sort((a, b) => {
|
||||
const aIndex = a[0]?.execution_metadata?.iteration_index ?? 0
|
||||
const bIndex = b[0]?.execution_metadata?.iteration_index ?? 0
|
||||
return aIndex - bIndex
|
||||
})
|
||||
}
|
||||
}
|
||||
else if (nodeInfo.details?.length) {
|
||||
structuredList = nodeInfo.details
|
||||
@@ -71,16 +96,36 @@ const IterationLogTrigger = ({
|
||||
else if (nodeInfo.metadata?.iterator_length)
|
||||
displayIterationCount = nodeInfo.metadata.iterator_length
|
||||
|
||||
const getErrorCount = (details: NodeTracing[][] | undefined) => {
|
||||
const getErrorCount = (details: NodeTracing[][] | undefined, iterationNodeMeta?: any) => {
|
||||
if (!details || details.length === 0)
|
||||
return 0
|
||||
return details.reduce((acc, iteration) => {
|
||||
if (iteration.some(item => item.status === 'failed'))
|
||||
acc++
|
||||
return acc
|
||||
}, 0)
|
||||
|
||||
// Use Set to track failed iteration indices to avoid duplicate counting
|
||||
const failedIterationIndices = new Set<number>()
|
||||
|
||||
// Collect failed iteration indices from details
|
||||
details.forEach((iteration, index) => {
|
||||
if (iteration.some(item => item.status === NodeRunningStatus.Failed)) {
|
||||
// Try to get iteration index from first node, fallback to array index
|
||||
const iterationIndex = iteration[0]?.execution_metadata?.iteration_index ?? index
|
||||
failedIterationIndices.add(iterationIndex)
|
||||
}
|
||||
})
|
||||
|
||||
// If allExecutions exists, check for additional failed iterations
|
||||
if (iterationNodeMeta?.iteration_duration_map && allExecutions) {
|
||||
// Find all failed iteration nodes
|
||||
allExecutions.forEach((exec) => {
|
||||
if (exec.execution_metadata?.iteration_id === nodeInfo.node_id
|
||||
&& exec.status === NodeRunningStatus.Failed
|
||||
&& exec.execution_metadata?.iteration_index !== undefined)
|
||||
failedIterationIndices.add(exec.execution_metadata.iteration_index)
|
||||
})
|
||||
}
|
||||
|
||||
return failedIterationIndices.size
|
||||
}
|
||||
const errorCount = getErrorCount(nodeInfo.details)
|
||||
const errorCount = getErrorCount(nodeInfo.details, nodeInfo.execution_metadata)
|
||||
|
||||
return (
|
||||
<Button
|
||||
|
||||
@@ -734,6 +734,7 @@ const translation = {
|
||||
uploadFromComputerLimit: 'Upload {{type}} cannot exceed {{size}}',
|
||||
pasteFileLinkInvalid: 'Invalid file link',
|
||||
fileExtensionNotSupport: 'File extension not supported',
|
||||
fileExtensionBlocked: 'This file type is blocked for security reasons',
|
||||
},
|
||||
tag: {
|
||||
placeholder: 'All Tags',
|
||||
|
||||
@@ -113,7 +113,7 @@ const translation = {
|
||||
operation: 'ドキュメント',
|
||||
},
|
||||
},
|
||||
launch: '発射',
|
||||
launch: '公開',
|
||||
},
|
||||
apiInfo: {
|
||||
title: 'バックエンドサービス API',
|
||||
|
||||
@@ -30,7 +30,7 @@ const translation = {
|
||||
noOutput: '无输出',
|
||||
element: {
|
||||
title: '这里有人吗',
|
||||
content: '在这里观测和标注最终用户和 AI 应用程序之间的交互,以不断提高 AI 的准确性。您可以<testLink>试试</testLink> web app 或<shareLink>分享</shareLink>出去,然后返回此页面。',
|
||||
content: '在这里观测和标注最终用户和 AI 应用程序之间的交互,以不断提高 AI 的准确性。您可以尝试<shareLink>分享</shareLink>或<testLink>测试</testLink>此Web应用程序,然后返回此页面。',
|
||||
},
|
||||
},
|
||||
},
|
||||
|
||||
@@ -728,6 +728,7 @@ const translation = {
|
||||
uploadFromComputerLimit: '上传 {{type}} 不能超过 {{size}}',
|
||||
pasteFileLinkInvalid: '文件链接无效',
|
||||
fileExtensionNotSupport: '文件类型不支持',
|
||||
fileExtensionBlocked: '出于安全考虑,该文件类型已被禁止上传',
|
||||
},
|
||||
tag: {
|
||||
placeholder: '全部标签',
|
||||
|
||||
@@ -4,7 +4,7 @@ const translation = {
|
||||
editBy: '{{author}}編輯的答案',
|
||||
noData: {
|
||||
title: '沒有標註',
|
||||
description: '你可以在應用會話除錯中編輯標註,也可以在此批次匯入標註用於高質量回復。',
|
||||
description: '你可以在應用會話除錯中編輯標註,也可以在此批次匯入標註用於高品質回復。',
|
||||
},
|
||||
table: {
|
||||
header: {
|
||||
|
||||
@@ -30,7 +30,7 @@ const translation = {
|
||||
},
|
||||
completionMode: {
|
||||
title: '文字生成型應用 API',
|
||||
info: '可用於生成高質量文字的應用,例如生成文章、摘要、翻譯等,透過呼叫 completion-messages 介面,傳送使用者輸入得到生成文字結果。用於生成文字的模型引數和提示詞模版取決於開發者在 Dify 提示詞編排頁的設定。',
|
||||
info: '可用於生成高品質文字的應用,例如生成文章、摘要、翻譯等,透過呼叫 completion-messages 介面,傳送使用者輸入得到生成文字結果。用於生成文字的模型引數和提示詞模版取決於開發者在 Dify 提示詞編排頁的設定。',
|
||||
createCompletionApi: '建立文字補全訊息',
|
||||
createCompletionApiTip: '建立文字補全訊息,支援一問一答模式。',
|
||||
inputsTips: '(選填)以鍵值對方式提供使用者輸入欄位,與提示詞編排中的變數對應。Key 為變數名稱,Value 是引數值。如果欄位型別為 Select,傳入的 Value 需為預設選項之一。',
|
||||
|
||||
@@ -390,7 +390,7 @@ const translation = {
|
||||
writeOpener: '編寫開場白',
|
||||
placeholder: '在這裡寫下你的開場白,你可以使用變數,嘗試輸入 {{variable}}。',
|
||||
openingQuestion: '開場問題',
|
||||
openingQuestionPlaceholder: '可以使用變量,嘗試輸入 {{variable}}。',
|
||||
openingQuestionPlaceholder: '可以使用變數,嘗試輸入 {{variable}}。',
|
||||
noDataPlaceHolder:
|
||||
'在對話型應用中,讓 AI 主動說第一段話可以拉近與使用者間的距離。',
|
||||
varTip: '你可以使用變數,試試輸入 {{variable}}',
|
||||
@@ -420,14 +420,14 @@ const translation = {
|
||||
},
|
||||
result: '結果',
|
||||
datasetConfig: {
|
||||
settingTitle: '召回設定',
|
||||
settingTitle: '檢索設定',
|
||||
knowledgeTip: '點選“+”按鈕新增知識庫',
|
||||
retrieveOneWay: {
|
||||
title: 'N 選 1 召回',
|
||||
title: 'N 選 1 檢索',
|
||||
description: '根據使用者意圖和知識庫描述,由 Agent 自主判斷選擇最匹配的單個知識庫來查詢相關文字,適合知識庫區分度大且知識庫數量偏少的應用。',
|
||||
},
|
||||
retrieveMultiWay: {
|
||||
title: '多路召回',
|
||||
title: '多路檢索',
|
||||
description: '根據使用者意圖同時匹配所有知識庫,從多路知識庫查詢相關文字片段,經過重排序步驟,從多路查詢結果中選擇匹配使用者問題的最佳結果,需配置 Rerank 模型 API。',
|
||||
},
|
||||
rerankModelRequired: '請選擇 Rerank 模型',
|
||||
@@ -480,25 +480,25 @@ const translation = {
|
||||
},
|
||||
},
|
||||
codegen: {
|
||||
resTitle: '生成的代碼',
|
||||
resTitle: '生成的程式碼',
|
||||
apply: '應用',
|
||||
overwriteConfirmMessage: '此作將覆蓋現有代碼。你想繼續嗎?',
|
||||
overwriteConfirmMessage: '此作將覆蓋現有程式碼。你想繼續嗎?',
|
||||
instruction: '指示',
|
||||
instructionPlaceholder: '輸入要生成的代碼的詳細說明。',
|
||||
instructionPlaceholder: '輸入要生成的程式碼的詳細說明。',
|
||||
generate: '生成',
|
||||
noDataLine2: '代碼預覽將在此處顯示。',
|
||||
noDataLine2: '程式碼預覽將在此處顯示。',
|
||||
applyChanges: '應用更改',
|
||||
noDataLine1: '在左側描述您的用例,',
|
||||
overwriteConfirmTitle: '覆蓋現有代碼?',
|
||||
title: '代碼生成器',
|
||||
generatedCodeTitle: '生成的代碼',
|
||||
loading: '產生代碼...',
|
||||
description: '代碼生成器使用配置的模型根據您的指令生成高質量的代碼。請提供清晰詳細的說明。',
|
||||
overwriteConfirmTitle: '覆蓋現有程式碼?',
|
||||
title: '程式碼生成器',
|
||||
generatedCodeTitle: '生成的程式碼',
|
||||
loading: '產生程式碼...',
|
||||
description: '程式碼生成器使用配置的模型根據您的指令生成高品質的程式碼。請提供清晰詳細的說明。',
|
||||
},
|
||||
generate: {
|
||||
template: {
|
||||
pythonDebugger: {
|
||||
instruction: '可以根據您的指令生成和調試代碼的機器人',
|
||||
instruction: '可以根據您的指令生成和調試程式碼的機器人',
|
||||
name: 'Python 調試器',
|
||||
},
|
||||
translation: {
|
||||
@@ -561,7 +561,7 @@ const translation = {
|
||||
idealOutputPlaceholder: '描述您理想的回應格式、長度、語調和內容要求...',
|
||||
press: '新聞稿',
|
||||
newNoDataLine1: '在左側列寫入指示,然後點擊生成以查看回應.',
|
||||
codeGenInstructionPlaceHolderLine: '反饋越詳細,例如輸入和輸出的數據類型以及變量的處理方式,代碼生成就會越準確。',
|
||||
codeGenInstructionPlaceHolderLine: '反饋越詳細,例如輸入和輸出的數據類型以及變數的處理方式,程式碼生成就會越準確。',
|
||||
},
|
||||
warningMessage: {
|
||||
timeoutExceeded: '由於超時,不顯示結果。請參閱日誌以收集完整結果。',
|
||||
|
||||
@@ -29,7 +29,7 @@ const translation = {
|
||||
noOutput: '無輸出',
|
||||
element: {
|
||||
title: '這裡有人嗎',
|
||||
content: '在這裡觀測和標註終端使用者和 AI 應用程式之間的互動,以不斷提高 AI 的準確性。您可以<testLink>試試</testLink> web app 或<shareLink>分享</shareLink>出去,然後返回此頁面。',
|
||||
content: '在這裡觀測和標註終端使用者和 AI 應用程式之間的互動,以不斷提高 AI 的準確性。您可以嘗試<shareLink>分享</shareLink>或<testLink>測試</testLink>此Web應用程序,然後返回此頁面。',
|
||||
},
|
||||
},
|
||||
},
|
||||
@@ -48,7 +48,7 @@ const translation = {
|
||||
dislike: '反對',
|
||||
addAnnotation: '標記改進回覆',
|
||||
editAnnotation: '編輯改進回覆',
|
||||
annotationPlaceholder: '輸入你希望 AI 回覆的預期答案,這在今後可用於模型微調,持續改進文字生成質量。',
|
||||
annotationPlaceholder: '輸入你希望 AI 回覆的預期答案,這在今後可用於模型微調,持續改進文字生成品質。',
|
||||
},
|
||||
variables: '變數',
|
||||
uploadImages: '上傳的圖片',
|
||||
|
||||
@@ -56,7 +56,7 @@ const translation = {
|
||||
agentMode: '代理模式',
|
||||
workflow: '工作流',
|
||||
llmLoadingBalancing: 'LLM 負載均衡',
|
||||
llmLoadingBalancingTooltip: '向模型添加多個 API 金鑰,從而有效地繞過 API 速率限制。',
|
||||
llmLoadingBalancingTooltip: '向模型新增多個 API 金鑰,從而有效地繞過 API 速率限制。',
|
||||
},
|
||||
comingSoon: '即將推出',
|
||||
member: '成員',
|
||||
@@ -68,7 +68,7 @@ const translation = {
|
||||
},
|
||||
annotatedResponse: {
|
||||
title: '標註回覆數',
|
||||
tooltip: '標註回覆功能透過人工編輯標註為應用提供了可定製的高質量問答回覆能力',
|
||||
tooltip: '標註回覆功能透過人工編輯標註為應用提供了可定製的高品質問答回覆能力',
|
||||
},
|
||||
ragAPIRequestTooltip: '指單獨呼叫 Dify 知識庫資料處理能力的 API。',
|
||||
receiptInfo: '只有團隊所有者和團隊管理員才能訂閱和檢視賬單資訊',
|
||||
|
||||
@@ -457,7 +457,7 @@ const translation = {
|
||||
defaultConfig: '默認配置',
|
||||
configLoadBalancing: '配置負載均衡',
|
||||
loadBalancingDescription: '使用多組憑證減輕壓力。',
|
||||
addConfig: '添加配置',
|
||||
addConfig: '新增配置',
|
||||
upgradeForLoadBalancing: '升級您的計劃以啟用 Load Balancing。',
|
||||
apiKey: 'API 金鑰',
|
||||
loadBalancing: '負載均衡',
|
||||
@@ -472,19 +472,19 @@ const translation = {
|
||||
installProvider: '安裝模型提供程式',
|
||||
toBeConfigured: '待配置',
|
||||
emptyProviderTitle: '未設置模型提供者',
|
||||
configureTip: '設置 api-key 或添加要使用的模型',
|
||||
configureTip: '設置 api-key 或新增要使用的模型',
|
||||
emptyProviderTip: '請先安裝模型提供者。',
|
||||
auth: {
|
||||
apiKeyModal: {
|
||||
addModel: '添加模型',
|
||||
addModel: '新增模型',
|
||||
title: 'API 金鑰授權配置',
|
||||
desc: '配置完憑證後,工作區內的所有成員在協調應用程式時都可以使用此模型。',
|
||||
},
|
||||
authRemoved: '授權已被移除',
|
||||
configModel: '配置模型',
|
||||
addApiKey: '添加 API 金鑰',
|
||||
addCredential: '添加憑證',
|
||||
addModelCredential: '添加模型憑證',
|
||||
addApiKey: '新增 API 金鑰',
|
||||
addCredential: '新增憑證',
|
||||
addModelCredential: '新增模型憑證',
|
||||
modelCredentials: '模型憑證',
|
||||
providerManaged: '供應商管理',
|
||||
addNewModel: '新增模型',
|
||||
@@ -599,7 +599,7 @@ const translation = {
|
||||
},
|
||||
datasetMenus: {
|
||||
documents: '文件',
|
||||
hitTesting: '召回測試',
|
||||
hitTesting: '檢索測試',
|
||||
settings: '設定',
|
||||
emptyTip: ' 知識庫尚未關聯,請前往應用程式或外掛完成關聯。',
|
||||
viewDoc: '檢視文件',
|
||||
@@ -632,9 +632,9 @@ const translation = {
|
||||
title: '引用',
|
||||
linkToDataset: '跳轉至知識庫',
|
||||
characters: '字元:',
|
||||
hitCount: '召回次數:',
|
||||
hitCount: '檢索次數:',
|
||||
vectorHash: '向量雜湊:',
|
||||
hitScore: '召回得分:',
|
||||
hitScore: '檢索得分:',
|
||||
},
|
||||
inputPlaceholder: '與 {{botName}} 對話',
|
||||
thinking: '思維。。。',
|
||||
|
||||
@@ -101,7 +101,7 @@ const translation = {
|
||||
separatorPlaceholder: '例如換行符(\n)或特定的分隔符(如 "***")',
|
||||
maxLength: '分段最大長度',
|
||||
overlap: '分段重疊長度',
|
||||
overlapTip: '設定分段之間的重疊長度可以保留分段之間的語義關係,提升召回效果。建議設定為最大分段長度的 10%-25%',
|
||||
overlapTip: '設定分段之間的重疊長度可以保留分段之間的語義關係,提升檢索效果。建議設定為最大分段長度的 10%-25%',
|
||||
overlapCheck: '分段重疊長度不能大於分段最大長度',
|
||||
rules: '文字預處理規則',
|
||||
removeExtraSpaces: '替換掉連續的空格、換行符和製表符',
|
||||
@@ -110,7 +110,7 @@ const translation = {
|
||||
preview: '預覽',
|
||||
reset: '重置',
|
||||
indexMode: '索引方式',
|
||||
qualified: '高質量',
|
||||
qualified: '高品質',
|
||||
recommend: '推薦',
|
||||
qualifiedTip: '呼叫系統預設的嵌入介面進行處理,以在使用者查詢時提供更高的準確度',
|
||||
warning: '請先完成模型供應商的 API KEY 設定。.',
|
||||
@@ -135,7 +135,7 @@ const translation = {
|
||||
cancel: '取消',
|
||||
sideTipTitle: '為什麼要分段和預處理?',
|
||||
sideTipP1: '在處理文字資料時,分段和清洗是兩個重要的預處理步驟。',
|
||||
sideTipP2: '分段的目的是將長文字拆分成較小的段落,以便模型更有效地處理和理解。這有助於提高模型生成的結果的質量和相關性。',
|
||||
sideTipP2: '分段的目的是將長文字拆分成較小的段落,以便模型更有效地處理和理解。這有助於提高模型生成的結果的品質和相關性。',
|
||||
sideTipP3: '清洗則是對文字進行預處理,刪除不必要的字元、符號或格式,使知識庫更加乾淨、整潔,便於模型解析。',
|
||||
sideTipP4: '透過對知識庫進行適當的分段和清洗,可以提高模型在實際應用中的表現,從而為使用者提供更準確、更有價值的結果。',
|
||||
previewTitle: '分段預覽',
|
||||
|
||||
@@ -8,7 +8,7 @@ const translation = {
|
||||
header: {
|
||||
fileName: '檔名',
|
||||
words: '字元數',
|
||||
hitCount: '召回次數',
|
||||
hitCount: '檢索次數',
|
||||
uploadTime: '上傳時間',
|
||||
status: '狀態',
|
||||
action: '操作',
|
||||
@@ -79,7 +79,7 @@ const translation = {
|
||||
error: '匯入出錯',
|
||||
ok: '確定',
|
||||
},
|
||||
addUrl: '添加 URL',
|
||||
addUrl: '新增 URL',
|
||||
learnMore: '瞭解更多資訊',
|
||||
},
|
||||
metadata: {
|
||||
@@ -225,7 +225,7 @@ const translation = {
|
||||
segmentLength: '段落長度',
|
||||
avgParagraphLength: '平均段落長度',
|
||||
paragraphs: '段落數量',
|
||||
hitCount: '召回次數',
|
||||
hitCount: '檢索次數',
|
||||
embeddingTime: '嵌入時間',
|
||||
embeddedSpend: '嵌入花費',
|
||||
},
|
||||
@@ -326,7 +326,7 @@ const translation = {
|
||||
segmentLength: '分段長度',
|
||||
textCleaning: '文字預定義與清洗',
|
||||
segments: '段落',
|
||||
highQuality: '高質量模式',
|
||||
highQuality: '高品質模式',
|
||||
economy: '經濟模式',
|
||||
estimate: '預估消耗',
|
||||
stop: '停止處理',
|
||||
@@ -345,7 +345,7 @@ const translation = {
|
||||
keywords: '關鍵詞',
|
||||
addKeyWord: '新增關鍵詞',
|
||||
keywordError: '關鍵詞最大長度為 20',
|
||||
hitCount: '召回次數',
|
||||
hitCount: '檢索次數',
|
||||
vectorHash: '向量雜湊:',
|
||||
questionPlaceholder: '在這裡新增問題',
|
||||
questionEmpty: '問題不能為空',
|
||||
@@ -357,20 +357,20 @@ const translation = {
|
||||
newQaSegment: '新問答分段',
|
||||
delete: '刪除這個分段?',
|
||||
characters_other: '字元',
|
||||
addChunk: '添加數據塊',
|
||||
addChildChunk: '添加子塊',
|
||||
addAnother: '添加另一個',
|
||||
childChunkAdded: '添加了 1 個子塊',
|
||||
addChunk: '新增數據塊',
|
||||
addChildChunk: '新增子塊',
|
||||
addAnother: '新增另一個',
|
||||
childChunkAdded: '新增了 1 個子塊',
|
||||
editParentChunk: '編輯父塊(Edit Parent Chunk)',
|
||||
editChildChunk: '編輯子塊',
|
||||
chunkDetail: '數據塊詳細資訊',
|
||||
regenerationConfirmTitle: '是否要重新生成子塊?',
|
||||
regenerationConfirmMessage: '重新生成子數據塊將覆蓋當前子數據塊,包括已編輯的數據塊和新添加的數據塊。重新生成無法復原。',
|
||||
regenerationConfirmMessage: '重新生成子數據塊將覆蓋當前子數據塊,包括已編輯的數據塊和新新增的數據塊。重新生成無法復原。',
|
||||
regeneratingTitle: '重新生成子塊',
|
||||
regenerationSuccessTitle: '再生完成',
|
||||
collapseChunks: '摺疊塊',
|
||||
expandChunks: '擴展塊',
|
||||
chunkAdded: '添加了 1 個數據塊',
|
||||
chunkAdded: '新增了 1 個數據塊',
|
||||
editedAt: '編輯於',
|
||||
dateTimeFormat: 'YYYY/MM/DD HH:mm',
|
||||
regeneratingMessage: '這可能需要一些時間,請稍候...',
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
const translation = {
|
||||
title: '召回測試',
|
||||
desc: '基於給定的查詢文字測試知識庫的召回效果。',
|
||||
title: '檢索測試',
|
||||
desc: '基於給定的查詢文字測試知識庫的檢索效果。',
|
||||
dateTimeFormat: 'YYYY-MM-DD HH:mm',
|
||||
table: {
|
||||
header: {
|
||||
@@ -10,15 +10,15 @@ const translation = {
|
||||
},
|
||||
},
|
||||
input: {
|
||||
title: '源文字',
|
||||
title: '來源文字',
|
||||
placeholder: '請輸入文字,建議使用簡短的陳述句。',
|
||||
countWarning: '不超過 200 個字元',
|
||||
indexWarning: '僅支援高質量模式知識庫',
|
||||
indexWarning: '僅支援高品質模式知識庫',
|
||||
testing: '測試',
|
||||
},
|
||||
hit: {
|
||||
title: '召回段落',
|
||||
emptyTip: '召回測試結果將展示在這裡',
|
||||
title: '檢索段落',
|
||||
emptyTip: '檢索測試結果將展示在這裡',
|
||||
},
|
||||
noRecentTip: '最近無查詢結果',
|
||||
viewChart: '查看向量圖表',
|
||||
@@ -26,8 +26,8 @@ const translation = {
|
||||
settingTitle: '檢索設置',
|
||||
open: '打開',
|
||||
records: '記錄',
|
||||
chunkDetail: '數據塊詳細資訊',
|
||||
hitChunks: '命中 {{num}} 個子塊',
|
||||
chunkDetail: '資料區塊詳細資訊',
|
||||
hitChunks: '命中 {{num}} 個子區塊',
|
||||
keyword: '關鍵字',
|
||||
}
|
||||
|
||||
|
||||
@@ -13,7 +13,7 @@ const translation = {
|
||||
permissionsOnlyMe: '只有我',
|
||||
permissionsAllMember: '所有團隊成員',
|
||||
indexMethod: '索引模式',
|
||||
indexMethodHighQuality: '高質量',
|
||||
indexMethodHighQuality: '高品質',
|
||||
indexMethodHighQualityTip: '使用 Embedding 模型進行處理,以在使用者查詢時提供更高的準確度。',
|
||||
indexMethodEconomy: '經濟',
|
||||
indexMethodEconomyTip: '每個區塊使用 10 個關鍵字進行檢索,不會消耗 tokens,但可能會降低檢索的準確度。',
|
||||
|
||||
@@ -50,7 +50,7 @@ const translation = {
|
||||
docsFailedNotice: '文件無法被索引',
|
||||
retry: '重試',
|
||||
indexingTechnique: {
|
||||
high_quality: '高質量',
|
||||
high_quality: '高品質',
|
||||
economy: '經濟',
|
||||
},
|
||||
indexingMethod: {
|
||||
@@ -59,7 +59,7 @@ const translation = {
|
||||
hybrid_search: '混合',
|
||||
invertedIndex: '倒排索引',
|
||||
},
|
||||
mixtureHighQualityAndEconomicTip: '混合高質量和經濟知識庫需要重新排序模型。',
|
||||
mixtureHighQualityAndEconomicTip: '混合高品質和經濟知識庫需要重新排序模型。',
|
||||
inconsistentEmbeddingModelTip: '如果選定知識庫的嵌入模型不一致,則需要重新排序模型。',
|
||||
retrievalSettings: '檢索設置',
|
||||
rerankSettings: '重新排序設置',
|
||||
@@ -135,7 +135,7 @@ const translation = {
|
||||
mixtureInternalAndExternalTip: 'Rerank 模型是內部和外部知識的混合所必需的。',
|
||||
connectDataset: '連接到外部知識庫',
|
||||
learnHowToWriteGoodKnowledgeDescription: '瞭解如何編寫良好的知識描述',
|
||||
createExternalAPI: '添加外部知識 API',
|
||||
createExternalAPI: '新增外部知識 API',
|
||||
externalAPIPanelTitle: '外部知識 API',
|
||||
createNewExternalAPI: '創建新的外部知識 API',
|
||||
externalKnowledgeDescriptionPlaceholder: '描述此知識庫中的內容(選擇)',
|
||||
@@ -179,7 +179,7 @@ const translation = {
|
||||
type: '類型',
|
||||
title: '新元數據',
|
||||
back: '返回',
|
||||
namePlaceholder: '添加元數據名稱',
|
||||
namePlaceholder: '新增元數據名稱',
|
||||
name: '名字',
|
||||
},
|
||||
checkName: {
|
||||
@@ -201,7 +201,7 @@ const translation = {
|
||||
},
|
||||
datasetMetadata: {
|
||||
rename: '重新命名',
|
||||
addMetaData: '添加元數據',
|
||||
addMetaData: '新增元數據',
|
||||
builtInDescription: '內建的元數據會自動提取和生成。在使用之前必須啟用,且無法編輯。',
|
||||
name: '名字',
|
||||
disabled: '禁用',
|
||||
@@ -216,11 +216,11 @@ const translation = {
|
||||
startLabeling: '開始標記',
|
||||
documentInformation: '文件資訊',
|
||||
technicalParameters: '技術參數',
|
||||
metadataToolTip: '元數據作為一個關鍵的過濾器,提高了信息檢索的準確性和相關性。您可以在此處修改和添加此文檔的元數據。',
|
||||
metadataToolTip: '元數據作為一個關鍵的過濾器,提高了信息檢索的準確性和相關性。您可以在此處修改和新增此文檔的元數據。',
|
||||
},
|
||||
metadata: '元數據',
|
||||
chooseTime: '選擇一個時間...',
|
||||
addMetadata: '添加元數據',
|
||||
addMetadata: '新增元數據',
|
||||
},
|
||||
embeddingModelNotAvailable: '嵌入模型無法使用。',
|
||||
externalKnowledgeBase: '外部知識庫',
|
||||
|
||||
@@ -55,7 +55,7 @@ const translation = {
|
||||
},
|
||||
stillInEducation: {
|
||||
title: '仍在接受教育嗎?',
|
||||
expired: '立即重新驗證,以獲得即將到來的學年新優惠券。我們會將其添加到您的帳戶中,您可以用於下一次升級。',
|
||||
expired: '立即重新驗證,以獲得即將到來的學年新優惠券。我們會將其新增到您的帳戶中,您可以用於下一次升級。',
|
||||
isAboutToExpire: '現在重新驗證以獲得即將到來的學年新優惠券。它將保存在您的帳戶中,並在下次續訂時隨時可以使用。',
|
||||
},
|
||||
alreadyGraduated: {
|
||||
|
||||
@@ -95,7 +95,7 @@ const translation = {
|
||||
changePasswordBtn: '設置密碼',
|
||||
enterYourName: '請輸入您的使用者名',
|
||||
backToLogin: '返回登錄',
|
||||
noLoginMethodTip: '請聯繫系統管理員以添加身份驗證方法。',
|
||||
noLoginMethodTip: '請聯繫系統管理員以新增身份驗證方法。',
|
||||
withSSO: '繼續使用 SSO',
|
||||
back: '返回',
|
||||
resetPasswordDesc: '輸入您用於註冊 Dify 的電子郵件,我們將向您發送一封密碼重置電子郵件。',
|
||||
@@ -108,7 +108,7 @@ const translation = {
|
||||
licenseLostTip: '無法連接 Dify 許可證伺服器。請聯繫您的管理員以繼續使用 Dify。',
|
||||
webapp: {
|
||||
noLoginMethod: '未為網絡應用程序配置身份驗證方法',
|
||||
noLoginMethodTip: '請聯絡系統管理員以添加身份驗證方法。',
|
||||
noLoginMethodTip: '請聯絡系統管理員以新增身份驗證方法。',
|
||||
disabled: '網頁應用程序身份驗證已被禁用。請聯繫系統管理員以啟用它。您可以嘗試直接使用應用程序。',
|
||||
login: '登入',
|
||||
},
|
||||
|
||||
@@ -57,11 +57,11 @@ const translation = {
|
||||
placeholder: '選擇工具...',
|
||||
uninstalledTitle: '未安裝工具',
|
||||
auto: '自動',
|
||||
title: '添加工具',
|
||||
title: '新增工具',
|
||||
unsupportedContent: '已安裝的插件版本不提供此作。',
|
||||
settings: '用戶設置',
|
||||
uninstalledLink: '在插件中管理',
|
||||
empty: '點擊 『+』 按鈕添加工具。您可以新增多個工具。',
|
||||
empty: '點擊 『+』 按鈕新增工具。您可以新增多個工具。',
|
||||
unsupportedContent2: '按兩下以切換版本。',
|
||||
paramsTip1: '控制 LLM 推理參數。',
|
||||
toolSetting: '工具設定',
|
||||
@@ -74,7 +74,7 @@ const translation = {
|
||||
endpointDisableTip: '禁用端點',
|
||||
endpointsTip: '此插件通過終端節點提供特定功能,您可以為當前工作區配置多個終端節點集。',
|
||||
modelNum: '{{num}}包含的型號',
|
||||
endpointsEmpty: '按兩下「+」按鈕添加端點',
|
||||
endpointsEmpty: '按兩下「+」按鈕新增端點',
|
||||
endpointDisableContent: '您想禁用 {{name}} 嗎?',
|
||||
configureApp: '配置 App',
|
||||
endpointDeleteContent: '您想刪除 {{name}} 嗎?',
|
||||
@@ -233,9 +233,9 @@ const translation = {
|
||||
oauthClientSettings: 'OAuth 客戶端設置',
|
||||
setupOAuth: '設置 OAuth 客戶端',
|
||||
saveOnly: '僅保存',
|
||||
addApi: '添加 API 金鑰',
|
||||
addApi: '新增 API 金鑰',
|
||||
custom: '自訂',
|
||||
addOAuth: '添加 OAuth',
|
||||
addOAuth: '新增 OAuth',
|
||||
useOAuthAuth: '使用 OAuth 授權',
|
||||
authorization: '授權',
|
||||
oauthClient: 'OAuth 客戶端',
|
||||
|
||||
@@ -143,7 +143,7 @@ const translation = {
|
||||
addToolModal: {
|
||||
add: '加',
|
||||
type: '類型',
|
||||
added: '添加',
|
||||
added: '新增',
|
||||
manageInTools: '在工具中管理',
|
||||
category: '類別',
|
||||
custom: {
|
||||
@@ -198,7 +198,7 @@ const translation = {
|
||||
noHeaders: '沒有配置自定義標頭',
|
||||
timeoutPlaceholder: '三十',
|
||||
headerValuePlaceholder: '例如,承載者令牌123',
|
||||
addHeader: '添加標題',
|
||||
addHeader: '新增標題',
|
||||
headerKeyPlaceholder: '例如,授權',
|
||||
headersTip: '與 MCP 伺服器請求一同發送的附加 HTTP 標頭',
|
||||
maskedHeadersTip: '標頭值已被遮罩以保障安全。更改將更新實際值。',
|
||||
@@ -243,7 +243,7 @@ const translation = {
|
||||
description: '描述',
|
||||
descriptionPlaceholder: '說明此工具的用途及如何被 LLM 使用',
|
||||
parameters: '參數',
|
||||
parametersTip: '為每個參數添加描述,以幫助 LLM 理解其目的和約束。',
|
||||
parametersTip: '為每個參數新增描述,以幫助 LLM 理解其目的和約束。',
|
||||
parametersPlaceholder: '參數的目的和約束',
|
||||
confirm: '啟用 MCP 伺服器',
|
||||
},
|
||||
|
||||
Some files were not shown because too many files have changed in this diff Show More
Reference in New Issue
Block a user