qiuqiua
11 months ago
committed by
GitHub
commit
621922cc50
@ -0,0 +1,28 @@
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name: Deploy RAG Dev
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permissions:
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contents: read
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on:
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workflow_run:
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workflows: ["Build and Push API & Web"]
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branches:
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- "deploy/rag-dev"
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types:
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- completed
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jobs:
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deploy:
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runs-on: ubuntu-latest
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if: |
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github.event.workflow_run.conclusion == 'success' &&
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github.event.workflow_run.head_branch == 'deploy/rag-dev'
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steps:
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- name: Deploy to server
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uses: appleboy/ssh-action@v0.1.8
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with:
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host: ${{ secrets.RAG_SSH_HOST }}
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username: ${{ secrets.SSH_USER }}
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key: ${{ secrets.SSH_PRIVATE_KEY }}
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script: |
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${{ vars.SSH_SCRIPT || secrets.SSH_SCRIPT }}
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@ -0,0 +1,14 @@
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# Debugging with VS Code
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This `launch.json.template` file provides various debug configurations for the Dify project within VS Code / Cursor. To use these configurations, you should copy the contents of this file into a new file named `launch.json` in the same `.vscode` directory.
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## How to Use
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1. **Create `launch.json`**: If you don't have one, create a file named `launch.json` inside the `.vscode` directory.
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2. **Copy Content**: Copy the entire content from `launch.json.template` into your newly created `launch.json` file.
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3. **Select Debug Configuration**: Go to the Run and Debug view in VS Code / Cursor (Ctrl+Shift+D or Cmd+Shift+D).
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4. **Start Debugging**: Select the desired configuration from the dropdown menu and click the green play button.
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## Tips
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- If you need to debug with Edge browser instead of Chrome, modify the `serverReadyAction` configuration in the "Next.js: debug full stack" section, change `"debugWithChrome"` to `"debugWithEdge"` to use Microsoft Edge for debugging.
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@ -0,0 +1,68 @@
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{
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"version": "0.2.0",
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"configurations": [
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{
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"name": "Python: Flask API",
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"type": "debugpy",
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"request": "launch",
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"module": "flask",
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"env": {
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"FLASK_APP": "app.py",
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"FLASK_ENV": "development",
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"GEVENT_SUPPORT": "True"
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},
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"args": [
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"run",
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"--host=0.0.0.0",
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"--port=5001",
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"--no-debugger",
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"--no-reload"
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],
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"jinja": true,
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"justMyCode": true,
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"cwd": "${workspaceFolder}/api",
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"python": "${workspaceFolder}/api/.venv/bin/python"
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},
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{
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"name": "Python: Celery Worker (Solo)",
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"type": "debugpy",
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"request": "launch",
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"module": "celery",
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"env": {
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"GEVENT_SUPPORT": "True"
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},
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"args": [
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"-A",
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"app.celery",
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"worker",
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"-P",
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"solo",
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"-c",
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"1",
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"-Q",
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"dataset,generation,mail,ops_trace",
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"--loglevel",
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"INFO"
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],
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"justMyCode": false,
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"cwd": "${workspaceFolder}/api",
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"python": "${workspaceFolder}/api/.venv/bin/python"
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},
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{
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"name": "Next.js: debug full stack",
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"type": "node",
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"request": "launch",
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"program": "${workspaceFolder}/web/node_modules/next/dist/bin/next",
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"runtimeArgs": ["--inspect"],
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"skipFiles": ["<node_internals>/**"],
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"serverReadyAction": {
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"action": "debugWithChrome",
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"killOnServerStop": true,
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"pattern": "- Local:.+(https?://.+)",
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"uriFormat": "%s",
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"webRoot": "${workspaceFolder}/web"
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},
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"cwd": "${workspaceFolder}/web"
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}
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]
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}
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from pydantic import BaseModel, Field
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class MatrixoneConfig(BaseModel):
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"""Matrixone vector database configuration."""
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MATRIXONE_HOST: str = Field(default="localhost", description="Host address of the Matrixone server")
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MATRIXONE_PORT: int = Field(default=6001, description="Port number of the Matrixone server")
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MATRIXONE_USER: str = Field(default="dump", description="Username for authenticating with Matrixone")
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MATRIXONE_PASSWORD: str = Field(default="111", description="Password for authenticating with Matrixone")
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MATRIXONE_DATABASE: str = Field(default="dify", description="Name of the Matrixone database to connect to")
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MATRIXONE_METRIC: str = Field(
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default="l2", description="Distance metric type for vector similarity search (cosine or l2)"
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)
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@ -0,0 +1,421 @@
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import logging
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from typing import Any, NoReturn
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from flask import Response
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from flask_restful import Resource, fields, inputs, marshal, marshal_with, reqparse
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from sqlalchemy.orm import Session
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from werkzeug.exceptions import Forbidden
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from controllers.console import api
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from controllers.console.app.error import (
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DraftWorkflowNotExist,
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)
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from controllers.console.app.wraps import get_app_model
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from controllers.console.wraps import account_initialization_required, setup_required
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from controllers.web.error import InvalidArgumentError, NotFoundError
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from core.variables.segment_group import SegmentGroup
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from core.variables.segments import ArrayFileSegment, FileSegment, Segment
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from core.variables.types import SegmentType
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from core.workflow.constants import CONVERSATION_VARIABLE_NODE_ID, SYSTEM_VARIABLE_NODE_ID
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from factories.file_factory import build_from_mapping, build_from_mappings
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from factories.variable_factory import build_segment_with_type
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from libs.login import current_user, login_required
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from models import App, AppMode, db
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from models.workflow import WorkflowDraftVariable
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from services.workflow_draft_variable_service import WorkflowDraftVariableList, WorkflowDraftVariableService
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from services.workflow_service import WorkflowService
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logger = logging.getLogger(__name__)
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def _convert_values_to_json_serializable_object(value: Segment) -> Any:
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if isinstance(value, FileSegment):
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return value.value.model_dump()
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elif isinstance(value, ArrayFileSegment):
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return [i.model_dump() for i in value.value]
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elif isinstance(value, SegmentGroup):
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return [_convert_values_to_json_serializable_object(i) for i in value.value]
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else:
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return value.value
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def _serialize_var_value(variable: WorkflowDraftVariable) -> Any:
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value = variable.get_value()
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# create a copy of the value to avoid affecting the model cache.
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value = value.model_copy(deep=True)
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# Refresh the url signature before returning it to client.
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if isinstance(value, FileSegment):
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file = value.value
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file.remote_url = file.generate_url()
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elif isinstance(value, ArrayFileSegment):
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files = value.value
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for file in files:
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file.remote_url = file.generate_url()
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return _convert_values_to_json_serializable_object(value)
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def _create_pagination_parser():
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parser = reqparse.RequestParser()
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parser.add_argument(
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"page",
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type=inputs.int_range(1, 100_000),
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required=False,
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default=1,
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location="args",
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help="the page of data requested",
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)
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parser.add_argument("limit", type=inputs.int_range(1, 100), required=False, default=20, location="args")
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return parser
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_WORKFLOW_DRAFT_VARIABLE_WITHOUT_VALUE_FIELDS = {
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"id": fields.String,
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"type": fields.String(attribute=lambda model: model.get_variable_type()),
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"name": fields.String,
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"description": fields.String,
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"selector": fields.List(fields.String, attribute=lambda model: model.get_selector()),
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"value_type": fields.String,
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"edited": fields.Boolean(attribute=lambda model: model.edited),
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"visible": fields.Boolean,
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}
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_WORKFLOW_DRAFT_VARIABLE_FIELDS = dict(
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_WORKFLOW_DRAFT_VARIABLE_WITHOUT_VALUE_FIELDS,
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value=fields.Raw(attribute=_serialize_var_value),
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)
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_WORKFLOW_DRAFT_ENV_VARIABLE_FIELDS = {
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"id": fields.String,
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"type": fields.String(attribute=lambda _: "env"),
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"name": fields.String,
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"description": fields.String,
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"selector": fields.List(fields.String, attribute=lambda model: model.get_selector()),
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"value_type": fields.String,
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"edited": fields.Boolean(attribute=lambda model: model.edited),
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"visible": fields.Boolean,
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}
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_WORKFLOW_DRAFT_ENV_VARIABLE_LIST_FIELDS = {
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"items": fields.List(fields.Nested(_WORKFLOW_DRAFT_ENV_VARIABLE_FIELDS)),
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}
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def _get_items(var_list: WorkflowDraftVariableList) -> list[WorkflowDraftVariable]:
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return var_list.variables
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_WORKFLOW_DRAFT_VARIABLE_LIST_WITHOUT_VALUE_FIELDS = {
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"items": fields.List(fields.Nested(_WORKFLOW_DRAFT_VARIABLE_WITHOUT_VALUE_FIELDS), attribute=_get_items),
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"total": fields.Raw(),
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}
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_WORKFLOW_DRAFT_VARIABLE_LIST_FIELDS = {
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"items": fields.List(fields.Nested(_WORKFLOW_DRAFT_VARIABLE_FIELDS), attribute=_get_items),
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}
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def _api_prerequisite(f):
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"""Common prerequisites for all draft workflow variable APIs.
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It ensures the following conditions are satisfied:
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- Dify has been property setup.
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- The request user has logged in and initialized.
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- The requested app is a workflow or a chat flow.
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- The request user has the edit permission for the app.
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"""
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@setup_required
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@login_required
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@account_initialization_required
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@get_app_model(mode=[AppMode.ADVANCED_CHAT, AppMode.WORKFLOW])
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def wrapper(*args, **kwargs):
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if not current_user.is_editor:
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raise Forbidden()
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return f(*args, **kwargs)
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return wrapper
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class WorkflowVariableCollectionApi(Resource):
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@_api_prerequisite
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@marshal_with(_WORKFLOW_DRAFT_VARIABLE_LIST_WITHOUT_VALUE_FIELDS)
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def get(self, app_model: App):
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"""
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Get draft workflow
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"""
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parser = _create_pagination_parser()
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args = parser.parse_args()
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# fetch draft workflow by app_model
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workflow_service = WorkflowService()
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workflow_exist = workflow_service.is_workflow_exist(app_model=app_model)
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if not workflow_exist:
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raise DraftWorkflowNotExist()
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# fetch draft workflow by app_model
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with Session(bind=db.engine, expire_on_commit=False) as session:
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draft_var_srv = WorkflowDraftVariableService(
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session=session,
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)
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workflow_vars = draft_var_srv.list_variables_without_values(
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app_id=app_model.id,
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page=args.page,
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limit=args.limit,
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)
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return workflow_vars
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@_api_prerequisite
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def delete(self, app_model: App):
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draft_var_srv = WorkflowDraftVariableService(
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session=db.session(),
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)
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draft_var_srv.delete_workflow_variables(app_model.id)
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db.session.commit()
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return Response("", 204)
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def validate_node_id(node_id: str) -> NoReturn | None:
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if node_id in [
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CONVERSATION_VARIABLE_NODE_ID,
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SYSTEM_VARIABLE_NODE_ID,
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]:
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# NOTE(QuantumGhost): While we store the system and conversation variables as node variables
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# with specific `node_id` in database, we still want to make the API separated. By disallowing
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# accessing system and conversation variables in `WorkflowDraftNodeVariableListApi`,
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# we mitigate the risk that user of the API depending on the implementation detail of the API.
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#
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# ref: [Hyrum's Law](https://www.hyrumslaw.com/)
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raise InvalidArgumentError(
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f"invalid node_id, please use correspond api for conversation and system variables, node_id={node_id}",
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)
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return None
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class NodeVariableCollectionApi(Resource):
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@_api_prerequisite
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@marshal_with(_WORKFLOW_DRAFT_VARIABLE_LIST_FIELDS)
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def get(self, app_model: App, node_id: str):
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validate_node_id(node_id)
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with Session(bind=db.engine, expire_on_commit=False) as session:
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draft_var_srv = WorkflowDraftVariableService(
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session=session,
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)
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node_vars = draft_var_srv.list_node_variables(app_model.id, node_id)
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return node_vars
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@_api_prerequisite
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def delete(self, app_model: App, node_id: str):
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validate_node_id(node_id)
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srv = WorkflowDraftVariableService(db.session())
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srv.delete_node_variables(app_model.id, node_id)
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db.session.commit()
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return Response("", 204)
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class VariableApi(Resource):
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_PATCH_NAME_FIELD = "name"
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_PATCH_VALUE_FIELD = "value"
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@_api_prerequisite
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@marshal_with(_WORKFLOW_DRAFT_VARIABLE_FIELDS)
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def get(self, app_model: App, variable_id: str):
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draft_var_srv = WorkflowDraftVariableService(
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session=db.session(),
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)
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variable = draft_var_srv.get_variable(variable_id=variable_id)
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if variable is None:
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raise NotFoundError(description=f"variable not found, id={variable_id}")
|
||||
if variable.app_id != app_model.id:
|
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raise NotFoundError(description=f"variable not found, id={variable_id}")
|
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return variable
|
||||
|
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@_api_prerequisite
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@marshal_with(_WORKFLOW_DRAFT_VARIABLE_FIELDS)
|
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def patch(self, app_model: App, variable_id: str):
|
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# Request payload for file types:
|
||||
#
|
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# Local File:
|
||||
#
|
||||
# {
|
||||
# "type": "image",
|
||||
# "transfer_method": "local_file",
|
||||
# "url": "",
|
||||
# "upload_file_id": "daded54f-72c7-4f8e-9d18-9b0abdd9f190"
|
||||
# }
|
||||
#
|
||||
# Remote File:
|
||||
#
|
||||
#
|
||||
# {
|
||||
# "type": "image",
|
||||
# "transfer_method": "remote_url",
|
||||
# "url": "http://127.0.0.1:5001/files/1602650a-4fe4-423c-85a2-af76c083e3c4/file-preview?timestamp=1750041099&nonce=...&sign=...=",
|
||||
# "upload_file_id": "1602650a-4fe4-423c-85a2-af76c083e3c4"
|
||||
# }
|
||||
|
||||
parser = reqparse.RequestParser()
|
||||
parser.add_argument(self._PATCH_NAME_FIELD, type=str, required=False, nullable=True, location="json")
|
||||
# Parse 'value' field as-is to maintain its original data structure
|
||||
parser.add_argument(self._PATCH_VALUE_FIELD, type=lambda x: x, required=False, nullable=True, location="json")
|
||||
|
||||
draft_var_srv = WorkflowDraftVariableService(
|
||||
session=db.session(),
|
||||
)
|
||||
args = parser.parse_args(strict=True)
|
||||
|
||||
variable = draft_var_srv.get_variable(variable_id=variable_id)
|
||||
if variable is None:
|
||||
raise NotFoundError(description=f"variable not found, id={variable_id}")
|
||||
if variable.app_id != app_model.id:
|
||||
raise NotFoundError(description=f"variable not found, id={variable_id}")
|
||||
|
||||
new_name = args.get(self._PATCH_NAME_FIELD, None)
|
||||
raw_value = args.get(self._PATCH_VALUE_FIELD, None)
|
||||
if new_name is None and raw_value is None:
|
||||
return variable
|
||||
|
||||
new_value = None
|
||||
if raw_value is not None:
|
||||
if variable.value_type == SegmentType.FILE:
|
||||
if not isinstance(raw_value, dict):
|
||||
raise InvalidArgumentError(description=f"expected dict for file, got {type(raw_value)}")
|
||||
raw_value = build_from_mapping(mapping=raw_value, tenant_id=app_model.tenant_id)
|
||||
elif variable.value_type == SegmentType.ARRAY_FILE:
|
||||
if not isinstance(raw_value, list):
|
||||
raise InvalidArgumentError(description=f"expected list for files, got {type(raw_value)}")
|
||||
if len(raw_value) > 0 and not isinstance(raw_value[0], dict):
|
||||
raise InvalidArgumentError(description=f"expected dict for files[0], got {type(raw_value)}")
|
||||
raw_value = build_from_mappings(mappings=raw_value, tenant_id=app_model.tenant_id)
|
||||
new_value = build_segment_with_type(variable.value_type, raw_value)
|
||||
draft_var_srv.update_variable(variable, name=new_name, value=new_value)
|
||||
db.session.commit()
|
||||
return variable
|
||||
|
||||
@_api_prerequisite
|
||||
def delete(self, app_model: App, variable_id: str):
|
||||
draft_var_srv = WorkflowDraftVariableService(
|
||||
session=db.session(),
|
||||
)
|
||||
variable = draft_var_srv.get_variable(variable_id=variable_id)
|
||||
if variable is None:
|
||||
raise NotFoundError(description=f"variable not found, id={variable_id}")
|
||||
if variable.app_id != app_model.id:
|
||||
raise NotFoundError(description=f"variable not found, id={variable_id}")
|
||||
draft_var_srv.delete_variable(variable)
|
||||
db.session.commit()
|
||||
return Response("", 204)
|
||||
|
||||
|
||||
class VariableResetApi(Resource):
|
||||
@_api_prerequisite
|
||||
def put(self, app_model: App, variable_id: str):
|
||||
draft_var_srv = WorkflowDraftVariableService(
|
||||
session=db.session(),
|
||||
)
|
||||
|
||||
workflow_srv = WorkflowService()
|
||||
draft_workflow = workflow_srv.get_draft_workflow(app_model)
|
||||
if draft_workflow is None:
|
||||
raise NotFoundError(
|
||||
f"Draft workflow not found, app_id={app_model.id}",
|
||||
)
|
||||
variable = draft_var_srv.get_variable(variable_id=variable_id)
|
||||
if variable is None:
|
||||
raise NotFoundError(description=f"variable not found, id={variable_id}")
|
||||
if variable.app_id != app_model.id:
|
||||
raise NotFoundError(description=f"variable not found, id={variable_id}")
|
||||
|
||||
resetted = draft_var_srv.reset_variable(draft_workflow, variable)
|
||||
db.session.commit()
|
||||
if resetted is None:
|
||||
return Response("", 204)
|
||||
else:
|
||||
return marshal(resetted, _WORKFLOW_DRAFT_VARIABLE_FIELDS)
|
||||
|
||||
|
||||
def _get_variable_list(app_model: App, node_id) -> WorkflowDraftVariableList:
|
||||
with Session(bind=db.engine, expire_on_commit=False) as session:
|
||||
draft_var_srv = WorkflowDraftVariableService(
|
||||
session=session,
|
||||
)
|
||||
if node_id == CONVERSATION_VARIABLE_NODE_ID:
|
||||
draft_vars = draft_var_srv.list_conversation_variables(app_model.id)
|
||||
elif node_id == SYSTEM_VARIABLE_NODE_ID:
|
||||
draft_vars = draft_var_srv.list_system_variables(app_model.id)
|
||||
else:
|
||||
draft_vars = draft_var_srv.list_node_variables(app_id=app_model.id, node_id=node_id)
|
||||
return draft_vars
|
||||
|
||||
|
||||
class ConversationVariableCollectionApi(Resource):
|
||||
@_api_prerequisite
|
||||
@marshal_with(_WORKFLOW_DRAFT_VARIABLE_LIST_FIELDS)
|
||||
def get(self, app_model: App):
|
||||
# NOTE(QuantumGhost): Prefill conversation variables into the draft variables table
|
||||
# so their IDs can be returned to the caller.
|
||||
workflow_srv = WorkflowService()
|
||||
draft_workflow = workflow_srv.get_draft_workflow(app_model)
|
||||
if draft_workflow is None:
|
||||
raise NotFoundError(description=f"draft workflow not found, id={app_model.id}")
|
||||
draft_var_srv = WorkflowDraftVariableService(db.session())
|
||||
draft_var_srv.prefill_conversation_variable_default_values(draft_workflow)
|
||||
db.session.commit()
|
||||
return _get_variable_list(app_model, CONVERSATION_VARIABLE_NODE_ID)
|
||||
|
||||
|
||||
class SystemVariableCollectionApi(Resource):
|
||||
@_api_prerequisite
|
||||
@marshal_with(_WORKFLOW_DRAFT_VARIABLE_LIST_FIELDS)
|
||||
def get(self, app_model: App):
|
||||
return _get_variable_list(app_model, SYSTEM_VARIABLE_NODE_ID)
|
||||
|
||||
|
||||
class EnvironmentVariableCollectionApi(Resource):
|
||||
@_api_prerequisite
|
||||
def get(self, app_model: App):
|
||||
"""
|
||||
Get draft workflow
|
||||
"""
|
||||
# fetch draft workflow by app_model
|
||||
workflow_service = WorkflowService()
|
||||
workflow = workflow_service.get_draft_workflow(app_model=app_model)
|
||||
if workflow is None:
|
||||
raise DraftWorkflowNotExist()
|
||||
|
||||
env_vars = workflow.environment_variables
|
||||
env_vars_list = []
|
||||
for v in env_vars:
|
||||
env_vars_list.append(
|
||||
{
|
||||
"id": v.id,
|
||||
"type": "env",
|
||||
"name": v.name,
|
||||
"description": v.description,
|
||||
"selector": v.selector,
|
||||
"value_type": v.value_type.value,
|
||||
"value": v.value,
|
||||
# Do not track edited for env vars.
|
||||
"edited": False,
|
||||
"visible": True,
|
||||
"editable": True,
|
||||
}
|
||||
)
|
||||
|
||||
return {"items": env_vars_list}
|
||||
|
||||
|
||||
api.add_resource(
|
||||
WorkflowVariableCollectionApi,
|
||||
"/apps/<uuid:app_id>/workflows/draft/variables",
|
||||
)
|
||||
api.add_resource(NodeVariableCollectionApi, "/apps/<uuid:app_id>/workflows/draft/nodes/<string:node_id>/variables")
|
||||
api.add_resource(VariableApi, "/apps/<uuid:app_id>/workflows/draft/variables/<uuid:variable_id>")
|
||||
api.add_resource(VariableResetApi, "/apps/<uuid:app_id>/workflows/draft/variables/<uuid:variable_id>/reset")
|
||||
|
||||
api.add_resource(ConversationVariableCollectionApi, "/apps/<uuid:app_id>/workflows/draft/conversation-variables")
|
||||
api.add_resource(SystemVariableCollectionApi, "/apps/<uuid:app_id>/workflows/draft/system-variables")
|
||||
api.add_resource(EnvironmentVariableCollectionApi, "/apps/<uuid:app_id>/workflows/draft/environment-variables")
|
||||
@ -0,0 +1,147 @@
|
||||
import base64
|
||||
import secrets
|
||||
|
||||
from flask import request
|
||||
from flask_restful import Resource, reqparse
|
||||
from sqlalchemy import select
|
||||
from sqlalchemy.orm import Session
|
||||
|
||||
from controllers.console.auth.error import (
|
||||
EmailCodeError,
|
||||
EmailPasswordResetLimitError,
|
||||
InvalidEmailError,
|
||||
InvalidTokenError,
|
||||
PasswordMismatchError,
|
||||
)
|
||||
from controllers.console.error import AccountNotFound, EmailSendIpLimitError
|
||||
from controllers.console.wraps import email_password_login_enabled, only_edition_enterprise, setup_required
|
||||
from controllers.web import api
|
||||
from extensions.ext_database import db
|
||||
from libs.helper import email, extract_remote_ip
|
||||
from libs.password import hash_password, valid_password
|
||||
from models.account import Account
|
||||
from services.account_service import AccountService
|
||||
|
||||
|
||||
class ForgotPasswordSendEmailApi(Resource):
|
||||
@only_edition_enterprise
|
||||
@setup_required
|
||||
@email_password_login_enabled
|
||||
def post(self):
|
||||
parser = reqparse.RequestParser()
|
||||
parser.add_argument("email", type=email, required=True, location="json")
|
||||
parser.add_argument("language", type=str, required=False, location="json")
|
||||
args = parser.parse_args()
|
||||
|
||||
ip_address = extract_remote_ip(request)
|
||||
if AccountService.is_email_send_ip_limit(ip_address):
|
||||
raise EmailSendIpLimitError()
|
||||
|
||||
if args["language"] is not None and args["language"] == "zh-Hans":
|
||||
language = "zh-Hans"
|
||||
else:
|
||||
language = "en-US"
|
||||
|
||||
with Session(db.engine) as session:
|
||||
account = session.execute(select(Account).filter_by(email=args["email"])).scalar_one_or_none()
|
||||
token = None
|
||||
if account is None:
|
||||
raise AccountNotFound()
|
||||
else:
|
||||
token = AccountService.send_reset_password_email(account=account, email=args["email"], language=language)
|
||||
|
||||
return {"result": "success", "data": token}
|
||||
|
||||
|
||||
class ForgotPasswordCheckApi(Resource):
|
||||
@only_edition_enterprise
|
||||
@setup_required
|
||||
@email_password_login_enabled
|
||||
def post(self):
|
||||
parser = reqparse.RequestParser()
|
||||
parser.add_argument("email", type=str, required=True, location="json")
|
||||
parser.add_argument("code", type=str, required=True, location="json")
|
||||
parser.add_argument("token", type=str, required=True, nullable=False, location="json")
|
||||
args = parser.parse_args()
|
||||
|
||||
user_email = args["email"]
|
||||
|
||||
is_forgot_password_error_rate_limit = AccountService.is_forgot_password_error_rate_limit(args["email"])
|
||||
if is_forgot_password_error_rate_limit:
|
||||
raise EmailPasswordResetLimitError()
|
||||
|
||||
token_data = AccountService.get_reset_password_data(args["token"])
|
||||
if token_data is None:
|
||||
raise InvalidTokenError()
|
||||
|
||||
if user_email != token_data.get("email"):
|
||||
raise InvalidEmailError()
|
||||
|
||||
if args["code"] != token_data.get("code"):
|
||||
AccountService.add_forgot_password_error_rate_limit(args["email"])
|
||||
raise EmailCodeError()
|
||||
|
||||
# Verified, revoke the first token
|
||||
AccountService.revoke_reset_password_token(args["token"])
|
||||
|
||||
# Refresh token data by generating a new token
|
||||
_, new_token = AccountService.generate_reset_password_token(
|
||||
user_email, code=args["code"], additional_data={"phase": "reset"}
|
||||
)
|
||||
|
||||
AccountService.reset_forgot_password_error_rate_limit(args["email"])
|
||||
return {"is_valid": True, "email": token_data.get("email"), "token": new_token}
|
||||
|
||||
|
||||
class ForgotPasswordResetApi(Resource):
|
||||
@only_edition_enterprise
|
||||
@setup_required
|
||||
@email_password_login_enabled
|
||||
def post(self):
|
||||
parser = reqparse.RequestParser()
|
||||
parser.add_argument("token", type=str, required=True, nullable=False, location="json")
|
||||
parser.add_argument("new_password", type=valid_password, required=True, nullable=False, location="json")
|
||||
parser.add_argument("password_confirm", type=valid_password, required=True, nullable=False, location="json")
|
||||
args = parser.parse_args()
|
||||
|
||||
# Validate passwords match
|
||||
if args["new_password"] != args["password_confirm"]:
|
||||
raise PasswordMismatchError()
|
||||
|
||||
# Validate token and get reset data
|
||||
reset_data = AccountService.get_reset_password_data(args["token"])
|
||||
if not reset_data:
|
||||
raise InvalidTokenError()
|
||||
# Must use token in reset phase
|
||||
if reset_data.get("phase", "") != "reset":
|
||||
raise InvalidTokenError()
|
||||
|
||||
# Revoke token to prevent reuse
|
||||
AccountService.revoke_reset_password_token(args["token"])
|
||||
|
||||
# Generate secure salt and hash password
|
||||
salt = secrets.token_bytes(16)
|
||||
password_hashed = hash_password(args["new_password"], salt)
|
||||
|
||||
email = reset_data.get("email", "")
|
||||
|
||||
with Session(db.engine) as session:
|
||||
account = session.execute(select(Account).filter_by(email=email)).scalar_one_or_none()
|
||||
|
||||
if account:
|
||||
self._update_existing_account(account, password_hashed, salt, session)
|
||||
else:
|
||||
raise AccountNotFound()
|
||||
|
||||
return {"result": "success"}
|
||||
|
||||
def _update_existing_account(self, account, password_hashed, salt, session):
|
||||
# Update existing account credentials
|
||||
account.password = base64.b64encode(password_hashed).decode()
|
||||
account.password_salt = base64.b64encode(salt).decode()
|
||||
session.commit()
|
||||
|
||||
|
||||
api.add_resource(ForgotPasswordSendEmailApi, "/forgot-password")
|
||||
api.add_resource(ForgotPasswordCheckApi, "/forgot-password/validity")
|
||||
api.add_resource(ForgotPasswordResetApi, "/forgot-password/resets")
|
||||
@ -1 +1,11 @@
|
||||
from typing import Any
|
||||
|
||||
# TODO(QuantumGhost): Refactor variable type identification. Instead of directly
|
||||
# comparing `dify_model_identity` with constants throughout the codebase, extract
|
||||
# this logic into a dedicated function. This would encapsulate the implementation
|
||||
# details of how different variable types are identified.
|
||||
FILE_MODEL_IDENTITY = "__dify__file__"
|
||||
|
||||
|
||||
def maybe_file_object(o: Any) -> bool:
|
||||
return isinstance(o, dict) and o.get("dify_model_identity") == FILE_MODEL_IDENTITY
|
||||
|
||||
@ -0,0 +1,45 @@
|
||||
from collections.abc import Mapping
|
||||
from typing import Any
|
||||
|
||||
from core.plugin.entities.plugin import GenericProviderID
|
||||
from core.plugin.entities.plugin_daemon import PluginDynamicSelectOptionsResponse
|
||||
from core.plugin.impl.base import BasePluginClient
|
||||
|
||||
|
||||
class DynamicSelectClient(BasePluginClient):
|
||||
def fetch_dynamic_select_options(
|
||||
self,
|
||||
tenant_id: str,
|
||||
user_id: str,
|
||||
plugin_id: str,
|
||||
provider: str,
|
||||
action: str,
|
||||
credentials: Mapping[str, Any],
|
||||
parameter: str,
|
||||
) -> PluginDynamicSelectOptionsResponse:
|
||||
"""
|
||||
Fetch dynamic select options for a plugin parameter.
|
||||
"""
|
||||
response = self._request_with_plugin_daemon_response_stream(
|
||||
"POST",
|
||||
f"plugin/{tenant_id}/dispatch/dynamic_select/fetch_parameter_options",
|
||||
PluginDynamicSelectOptionsResponse,
|
||||
data={
|
||||
"user_id": user_id,
|
||||
"data": {
|
||||
"provider": GenericProviderID(provider).provider_name,
|
||||
"credentials": credentials,
|
||||
"provider_action": action,
|
||||
"parameter": parameter,
|
||||
},
|
||||
},
|
||||
headers={
|
||||
"X-Plugin-ID": plugin_id,
|
||||
"Content-Type": "application/json",
|
||||
},
|
||||
)
|
||||
|
||||
for options in response:
|
||||
return options
|
||||
|
||||
raise ValueError("Plugin service returned no options")
|
||||
@ -0,0 +1,233 @@
|
||||
import json
|
||||
import logging
|
||||
import uuid
|
||||
from functools import wraps
|
||||
from typing import Any, Optional
|
||||
|
||||
from mo_vector.client import MoVectorClient # type: ignore
|
||||
from pydantic import BaseModel, model_validator
|
||||
|
||||
from configs import dify_config
|
||||
from core.rag.datasource.vdb.vector_base import BaseVector
|
||||
from core.rag.datasource.vdb.vector_factory import AbstractVectorFactory
|
||||
from core.rag.datasource.vdb.vector_type import VectorType
|
||||
from core.rag.embedding.embedding_base import Embeddings
|
||||
from core.rag.models.document import Document
|
||||
from extensions.ext_redis import redis_client
|
||||
from models.dataset import Dataset
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
|
||||
class MatrixoneConfig(BaseModel):
|
||||
host: str = "localhost"
|
||||
port: int = 6001
|
||||
user: str = "dump"
|
||||
password: str = "111"
|
||||
database: str = "dify"
|
||||
metric: str = "l2"
|
||||
|
||||
@model_validator(mode="before")
|
||||
@classmethod
|
||||
def validate_config(cls, values: dict) -> dict:
|
||||
if not values["host"]:
|
||||
raise ValueError("config host is required")
|
||||
if not values["port"]:
|
||||
raise ValueError("config port is required")
|
||||
if not values["user"]:
|
||||
raise ValueError("config user is required")
|
||||
if not values["password"]:
|
||||
raise ValueError("config password is required")
|
||||
if not values["database"]:
|
||||
raise ValueError("config database is required")
|
||||
return values
|
||||
|
||||
|
||||
def ensure_client(func):
|
||||
@wraps(func)
|
||||
def wrapper(self, *args, **kwargs):
|
||||
if self.client is None:
|
||||
self.client = self._get_client(None, False)
|
||||
return func(self, *args, **kwargs)
|
||||
|
||||
return wrapper
|
||||
|
||||
|
||||
class MatrixoneVector(BaseVector):
|
||||
"""
|
||||
Matrixone vector storage implementation.
|
||||
"""
|
||||
|
||||
def __init__(self, collection_name: str, config: MatrixoneConfig):
|
||||
super().__init__(collection_name)
|
||||
self.config = config
|
||||
self.collection_name = collection_name.lower()
|
||||
self.client = None
|
||||
|
||||
@property
|
||||
def collection_name(self):
|
||||
return self._collection_name
|
||||
|
||||
@collection_name.setter
|
||||
def collection_name(self, value):
|
||||
self._collection_name = value
|
||||
|
||||
def get_type(self) -> str:
|
||||
return VectorType.MATRIXONE
|
||||
|
||||
def create(self, texts: list[Document], embeddings: list[list[float]], **kwargs):
|
||||
if self.client is None:
|
||||
self.client = self._get_client(len(embeddings[0]), True)
|
||||
return self.add_texts(texts, embeddings)
|
||||
|
||||
def _get_client(self, dimension: Optional[int] = None, create_table: bool = False) -> MoVectorClient:
|
||||
"""
|
||||
Create a new client for the collection.
|
||||
|
||||
The collection will be created if it doesn't exist.
|
||||
"""
|
||||
lock_name = f"vector_indexing_lock_{self._collection_name}"
|
||||
with redis_client.lock(lock_name, timeout=20):
|
||||
client = MoVectorClient(
|
||||
connection_string=f"mysql+pymysql://{self.config.user}:{self.config.password}@{self.config.host}:{self.config.port}/{self.config.database}",
|
||||
table_name=self.collection_name,
|
||||
vector_dimension=dimension,
|
||||
create_table=create_table,
|
||||
)
|
||||
collection_exist_cache_key = f"vector_indexing_{self._collection_name}"
|
||||
if redis_client.get(collection_exist_cache_key):
|
||||
return client
|
||||
try:
|
||||
client.create_full_text_index()
|
||||
except Exception as e:
|
||||
logger.exception("Failed to create full text index")
|
||||
redis_client.set(collection_exist_cache_key, 1, ex=3600)
|
||||
return client
|
||||
|
||||
def add_texts(self, documents: list[Document], embeddings: list[list[float]], **kwargs):
|
||||
if self.client is None:
|
||||
self.client = self._get_client(len(embeddings[0]), True)
|
||||
assert self.client is not None
|
||||
ids = []
|
||||
for _, doc in enumerate(documents):
|
||||
if doc.metadata is not None:
|
||||
doc_id = doc.metadata.get("doc_id", str(uuid.uuid4()))
|
||||
ids.append(doc_id)
|
||||
self.client.insert(
|
||||
texts=[doc.page_content for doc in documents],
|
||||
embeddings=embeddings,
|
||||
metadatas=[doc.metadata for doc in documents],
|
||||
ids=ids,
|
||||
)
|
||||
return ids
|
||||
|
||||
@ensure_client
|
||||
def text_exists(self, id: str) -> bool:
|
||||
assert self.client is not None
|
||||
result = self.client.get(ids=[id])
|
||||
return len(result) > 0
|
||||
|
||||
@ensure_client
|
||||
def delete_by_ids(self, ids: list[str]) -> None:
|
||||
assert self.client is not None
|
||||
if not ids:
|
||||
return
|
||||
self.client.delete(ids=ids)
|
||||
|
||||
@ensure_client
|
||||
def get_ids_by_metadata_field(self, key: str, value: str):
|
||||
assert self.client is not None
|
||||
results = self.client.query_by_metadata(filter={key: value})
|
||||
return [result.id for result in results]
|
||||
|
||||
@ensure_client
|
||||
def delete_by_metadata_field(self, key: str, value: str) -> None:
|
||||
assert self.client is not None
|
||||
self.client.delete(filter={key: value})
|
||||
|
||||
@ensure_client
|
||||
def search_by_vector(self, query_vector: list[float], **kwargs: Any) -> list[Document]:
|
||||
assert self.client is not None
|
||||
top_k = kwargs.get("top_k", 5)
|
||||
document_ids_filter = kwargs.get("document_ids_filter")
|
||||
filter = None
|
||||
if document_ids_filter:
|
||||
filter = {"document_id": {"$in": document_ids_filter}}
|
||||
|
||||
results = self.client.query(
|
||||
query_vector=query_vector,
|
||||
k=top_k,
|
||||
filter=filter,
|
||||
)
|
||||
|
||||
docs = []
|
||||
# TODO: add the score threshold to the query
|
||||
for result in results:
|
||||
metadata = result.metadata
|
||||
docs.append(
|
||||
Document(
|
||||
page_content=result.document,
|
||||
metadata=metadata,
|
||||
)
|
||||
)
|
||||
return docs
|
||||
|
||||
@ensure_client
|
||||
def search_by_full_text(self, query: str, **kwargs: Any) -> list[Document]:
|
||||
assert self.client is not None
|
||||
top_k = kwargs.get("top_k", 5)
|
||||
document_ids_filter = kwargs.get("document_ids_filter")
|
||||
filter = None
|
||||
if document_ids_filter:
|
||||
filter = {"document_id": {"$in": document_ids_filter}}
|
||||
score_threshold = float(kwargs.get("score_threshold", 0.0))
|
||||
|
||||
results = self.client.full_text_query(
|
||||
keywords=[query],
|
||||
k=top_k,
|
||||
filter=filter,
|
||||
)
|
||||
|
||||
docs = []
|
||||
for result in results:
|
||||
metadata = result.metadata
|
||||
if isinstance(metadata, str):
|
||||
import json
|
||||
|
||||
metadata = json.loads(metadata)
|
||||
score = 1 - result.distance
|
||||
if score >= score_threshold:
|
||||
metadata["score"] = score
|
||||
docs.append(
|
||||
Document(
|
||||
page_content=result.document,
|
||||
metadata=metadata,
|
||||
)
|
||||
)
|
||||
return docs
|
||||
|
||||
@ensure_client
|
||||
def delete(self) -> None:
|
||||
assert self.client is not None
|
||||
self.client.delete()
|
||||
|
||||
|
||||
class MatrixoneVectorFactory(AbstractVectorFactory):
|
||||
def init_vector(self, dataset: Dataset, attributes: list, embeddings: Embeddings) -> MatrixoneVector:
|
||||
if dataset.index_struct_dict:
|
||||
class_prefix: str = dataset.index_struct_dict["vector_store"]["class_prefix"]
|
||||
collection_name = class_prefix
|
||||
else:
|
||||
dataset_id = dataset.id
|
||||
collection_name = Dataset.gen_collection_name_by_id(dataset_id)
|
||||
dataset.index_struct = json.dumps(self.gen_index_struct_dict(VectorType.MATRIXONE, collection_name))
|
||||
|
||||
config = MatrixoneConfig(
|
||||
host=dify_config.MATRIXONE_HOST or "localhost",
|
||||
port=dify_config.MATRIXONE_PORT or 6001,
|
||||
user=dify_config.MATRIXONE_USER or "dump",
|
||||
password=dify_config.MATRIXONE_PASSWORD or "111",
|
||||
database=dify_config.MATRIXONE_DATABASE or "dify",
|
||||
metric=dify_config.MATRIXONE_METRIC or "l2",
|
||||
)
|
||||
return MatrixoneVector(collection_name=collection_name, config=config)
|
||||
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Reference in New Issue