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			655 lines
		
	
	
		
			25 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
			
		
		
	
	
			655 lines
		
	
	
		
			25 KiB
		
	
	
	
		
			Python
		
	
	
	
	
	
| import base64
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| import json
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| import logging
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| import secrets
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| from typing import Optional
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| 
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| import click
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| from flask import current_app
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| from werkzeug.exceptions import NotFound
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| 
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| from configs import dify_config
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| from constants.languages import languages
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| from core.rag.datasource.vdb.vector_factory import Vector
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| from core.rag.datasource.vdb.vector_type import VectorType
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| from core.rag.models.document import Document
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| from events.app_event import app_was_created
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| from extensions.ext_database import db
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| from extensions.ext_redis import redis_client
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| from libs.helper import email as email_validate
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| from libs.password import hash_password, password_pattern, valid_password
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| from libs.rsa import generate_key_pair
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| from models import Tenant
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| from models.dataset import Dataset, DatasetCollectionBinding, DocumentSegment
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| from models.dataset import Document as DatasetDocument
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| from models.model import Account, App, AppAnnotationSetting, AppMode, Conversation, MessageAnnotation
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| from models.provider import Provider, ProviderModel
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| from services.account_service import RegisterService, TenantService
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| 
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| 
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| @click.command("reset-password", help="Reset the account password.")
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| @click.option("--email", prompt=True, help="Account email to reset password for")
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| @click.option("--new-password", prompt=True, help="New password")
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| @click.option("--password-confirm", prompt=True, help="Confirm new password")
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| def reset_password(email, new_password, password_confirm):
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|     """
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|     Reset password of owner account
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|     Only available in SELF_HOSTED mode
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|     """
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|     if str(new_password).strip() != str(password_confirm).strip():
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|         click.echo(click.style("Passwords do not match.", fg="red"))
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|         return
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| 
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|     account = db.session.query(Account).filter(Account.email == email).one_or_none()
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| 
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|     if not account:
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|         click.echo(click.style("Account not found for email: {}".format(email), fg="red"))
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|         return
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| 
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|     try:
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|         valid_password(new_password)
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|     except:
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|         click.echo(click.style("Invalid password. Must match {}".format(password_pattern), fg="red"))
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|         return
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| 
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|     # generate password salt
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|     salt = secrets.token_bytes(16)
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|     base64_salt = base64.b64encode(salt).decode()
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| 
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|     # encrypt password with salt
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|     password_hashed = hash_password(new_password, salt)
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|     base64_password_hashed = base64.b64encode(password_hashed).decode()
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|     account.password = base64_password_hashed
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|     account.password_salt = base64_salt
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|     db.session.commit()
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|     click.echo(click.style("Password reset successfully.", fg="green"))
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| 
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| 
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| @click.command("reset-email", help="Reset the account email.")
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| @click.option("--email", prompt=True, help="Current account email")
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| @click.option("--new-email", prompt=True, help="New email")
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| @click.option("--email-confirm", prompt=True, help="Confirm new email")
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| def reset_email(email, new_email, email_confirm):
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|     """
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|     Replace account email
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|     :return:
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|     """
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|     if str(new_email).strip() != str(email_confirm).strip():
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|         click.echo(click.style("New emails do not match.", fg="red"))
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|         return
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| 
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|     account = db.session.query(Account).filter(Account.email == email).one_or_none()
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| 
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|     if not account:
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|         click.echo(click.style("Account not found for email: {}".format(email), fg="red"))
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|         return
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| 
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|     try:
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|         email_validate(new_email)
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|     except:
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|         click.echo(click.style("Invalid email: {}".format(new_email), fg="red"))
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|         return
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| 
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|     account.email = new_email
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|     db.session.commit()
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|     click.echo(click.style("Email updated successfully.", fg="green"))
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| 
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| 
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| @click.command(
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|     "reset-encrypt-key-pair",
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|     help="Reset the asymmetric key pair of workspace for encrypt LLM credentials. "
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|     "After the reset, all LLM credentials will become invalid, "
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|     "requiring re-entry."
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|     "Only support SELF_HOSTED mode.",
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| )
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| @click.confirmation_option(
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|     prompt=click.style(
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|         "Are you sure you want to reset encrypt key pair? This operation cannot be rolled back!", fg="red"
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|     )
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| )
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| def reset_encrypt_key_pair():
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|     """
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|     Reset the encrypted key pair of workspace for encrypt LLM credentials.
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|     After the reset, all LLM credentials will become invalid, requiring re-entry.
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|     Only support SELF_HOSTED mode.
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|     """
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|     if dify_config.EDITION != "SELF_HOSTED":
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|         click.echo(click.style("This command is only for SELF_HOSTED installations.", fg="red"))
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|         return
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| 
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|     tenants = db.session.query(Tenant).all()
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|     for tenant in tenants:
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|         if not tenant:
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|             click.echo(click.style("No workspaces found. Run /install first.", fg="red"))
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|             return
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| 
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|         tenant.encrypt_public_key = generate_key_pair(tenant.id)
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| 
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|         db.session.query(Provider).filter(Provider.provider_type == "custom", Provider.tenant_id == tenant.id).delete()
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|         db.session.query(ProviderModel).filter(ProviderModel.tenant_id == tenant.id).delete()
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|         db.session.commit()
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| 
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|         click.echo(
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|             click.style(
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|                 "Congratulations! The asymmetric key pair of workspace {} has been reset.".format(tenant.id),
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|                 fg="green",
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|             )
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|         )
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| 
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| 
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| @click.command("vdb-migrate", help="Migrate vector db.")
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| @click.option("--scope", default="all", prompt=False, help="The scope of vector database to migrate, Default is All.")
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| def vdb_migrate(scope: str):
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|     if scope in {"knowledge", "all"}:
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|         migrate_knowledge_vector_database()
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|     if scope in {"annotation", "all"}:
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|         migrate_annotation_vector_database()
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| 
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| 
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| def migrate_annotation_vector_database():
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|     """
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|     Migrate annotation datas to target vector database .
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|     """
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|     click.echo(click.style("Starting annotation data migration.", fg="green"))
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|     create_count = 0
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|     skipped_count = 0
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|     total_count = 0
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|     page = 1
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|     while True:
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|         try:
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|             # get apps info
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|             apps = (
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|                 db.session.query(App)
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|                 .filter(App.status == "normal")
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|                 .order_by(App.created_at.desc())
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|                 .paginate(page=page, per_page=50)
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|             )
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|         except NotFound:
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|             break
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| 
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|         page += 1
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|         for app in apps:
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|             total_count = total_count + 1
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|             click.echo(
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|                 f"Processing the {total_count} app {app.id}. " + f"{create_count} created, {skipped_count} skipped."
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|             )
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|             try:
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|                 click.echo("Creating app annotation index: {}".format(app.id))
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|                 app_annotation_setting = (
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|                     db.session.query(AppAnnotationSetting).filter(AppAnnotationSetting.app_id == app.id).first()
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|                 )
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| 
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|                 if not app_annotation_setting:
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|                     skipped_count = skipped_count + 1
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|                     click.echo("App annotation setting disabled: {}".format(app.id))
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|                     continue
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|                 # get dataset_collection_binding info
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|                 dataset_collection_binding = (
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|                     db.session.query(DatasetCollectionBinding)
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|                     .filter(DatasetCollectionBinding.id == app_annotation_setting.collection_binding_id)
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|                     .first()
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|                 )
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|                 if not dataset_collection_binding:
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|                     click.echo("App annotation collection binding not found: {}".format(app.id))
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|                     continue
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|                 annotations = db.session.query(MessageAnnotation).filter(MessageAnnotation.app_id == app.id).all()
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|                 dataset = Dataset(
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|                     id=app.id,
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|                     tenant_id=app.tenant_id,
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|                     indexing_technique="high_quality",
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|                     embedding_model_provider=dataset_collection_binding.provider_name,
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|                     embedding_model=dataset_collection_binding.model_name,
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|                     collection_binding_id=dataset_collection_binding.id,
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|                 )
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|                 documents = []
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|                 if annotations:
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|                     for annotation in annotations:
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|                         document = Document(
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|                             page_content=annotation.question,
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|                             metadata={"annotation_id": annotation.id, "app_id": app.id, "doc_id": annotation.id},
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|                         )
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|                         documents.append(document)
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| 
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|                 vector = Vector(dataset, attributes=["doc_id", "annotation_id", "app_id"])
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|                 click.echo(f"Migrating annotations for app: {app.id}.")
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| 
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|                 try:
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|                     vector.delete()
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|                     click.echo(click.style(f"Deleted vector index for app {app.id}.", fg="green"))
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|                 except Exception as e:
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|                     click.echo(click.style(f"Failed to delete vector index for app {app.id}.", fg="red"))
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|                     raise e
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|                 if documents:
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|                     try:
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|                         click.echo(
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|                             click.style(
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|                                 f"Creating vector index with {len(documents)} annotations for app {app.id}.",
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|                                 fg="green",
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|                             )
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|                         )
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|                         vector.create(documents)
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|                         click.echo(click.style(f"Created vector index for app {app.id}.", fg="green"))
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|                     except Exception as e:
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|                         click.echo(click.style(f"Failed to created vector index for app {app.id}.", fg="red"))
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|                         raise e
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|                 click.echo(f"Successfully migrated app annotation {app.id}.")
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|                 create_count += 1
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|             except Exception as e:
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|                 click.echo(
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|                     click.style(
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|                         "Error creating app annotation index: {} {}".format(e.__class__.__name__, str(e)), fg="red"
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|                     )
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|                 )
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|                 continue
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| 
 | |
|     click.echo(
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|         click.style(
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|             f"Migration complete. Created {create_count} app annotation indexes. Skipped {skipped_count} apps.",
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|             fg="green",
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|         )
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|     )
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| 
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| 
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| def migrate_knowledge_vector_database():
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|     """
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|     Migrate vector database datas to target vector database .
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|     """
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|     click.echo(click.style("Starting vector database migration.", fg="green"))
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|     create_count = 0
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|     skipped_count = 0
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|     total_count = 0
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|     vector_type = dify_config.VECTOR_STORE
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|     upper_colletion_vector_types = {
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|         VectorType.MILVUS,
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|         VectorType.PGVECTOR,
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|         VectorType.RELYT,
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|         VectorType.WEAVIATE,
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|         VectorType.ORACLE,
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|         VectorType.ELASTICSEARCH,
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|     }
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|     lower_colletion_vector_types = {
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|         VectorType.ANALYTICDB,
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|         VectorType.CHROMA,
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|         VectorType.MYSCALE,
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|         VectorType.PGVECTO_RS,
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|         VectorType.TIDB_VECTOR,
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|         VectorType.OPENSEARCH,
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|         VectorType.TENCENT,
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|         VectorType.BAIDU,
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|         VectorType.VIKINGDB,
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|         VectorType.UPSTASH,
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|         VectorType.COUCHBASE,
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|         VectorType.OCEANBASE,
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|     }
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|     page = 1
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|     while True:
 | |
|         try:
 | |
|             datasets = (
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|                 db.session.query(Dataset)
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|                 .filter(Dataset.indexing_technique == "high_quality")
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|                 .order_by(Dataset.created_at.desc())
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|                 .paginate(page=page, per_page=50)
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|             )
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|         except NotFound:
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|             break
 | |
| 
 | |
|         page += 1
 | |
|         for dataset in datasets:
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|             total_count = total_count + 1
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|             click.echo(
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|                 f"Processing the {total_count} dataset {dataset.id}. {create_count} created, {skipped_count} skipped."
 | |
|             )
 | |
|             try:
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|                 click.echo("Creating dataset vector database index: {}".format(dataset.id))
 | |
|                 if dataset.index_struct_dict:
 | |
|                     if dataset.index_struct_dict["type"] == vector_type:
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|                         skipped_count = skipped_count + 1
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|                         continue
 | |
|                 collection_name = ""
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|                 dataset_id = dataset.id
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|                 if vector_type in upper_colletion_vector_types:
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|                     collection_name = Dataset.gen_collection_name_by_id(dataset_id)
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|                 elif vector_type == VectorType.QDRANT:
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|                     if dataset.collection_binding_id:
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|                         dataset_collection_binding = (
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|                             db.session.query(DatasetCollectionBinding)
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|                             .filter(DatasetCollectionBinding.id == dataset.collection_binding_id)
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|                             .one_or_none()
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|                         )
 | |
|                         if dataset_collection_binding:
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|                             collection_name = dataset_collection_binding.collection_name
 | |
|                         else:
 | |
|                             raise ValueError("Dataset Collection Binding not found")
 | |
|                     else:
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|                         collection_name = Dataset.gen_collection_name_by_id(dataset_id)
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| 
 | |
|                 elif vector_type in lower_colletion_vector_types:
 | |
|                     collection_name = Dataset.gen_collection_name_by_id(dataset_id).lower()
 | |
|                 else:
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|                     raise ValueError(f"Vector store {vector_type} is not supported.")
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| 
 | |
|                 index_struct_dict = {"type": vector_type, "vector_store": {"class_prefix": collection_name}}
 | |
|                 dataset.index_struct = json.dumps(index_struct_dict)
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|                 vector = Vector(dataset)
 | |
|                 click.echo(f"Migrating dataset {dataset.id}.")
 | |
| 
 | |
|                 try:
 | |
|                     vector.delete()
 | |
|                     click.echo(
 | |
|                         click.style(f"Deleted vector index {collection_name} for dataset {dataset.id}.", fg="green")
 | |
|                     )
 | |
|                 except Exception as e:
 | |
|                     click.echo(
 | |
|                         click.style(
 | |
|                             f"Failed to delete vector index {collection_name} for dataset {dataset.id}.", fg="red"
 | |
|                         )
 | |
|                     )
 | |
|                     raise e
 | |
| 
 | |
|                 dataset_documents = (
 | |
|                     db.session.query(DatasetDocument)
 | |
|                     .filter(
 | |
|                         DatasetDocument.dataset_id == dataset.id,
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|                         DatasetDocument.indexing_status == "completed",
 | |
|                         DatasetDocument.enabled == True,
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|                         DatasetDocument.archived == False,
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|                     )
 | |
|                     .all()
 | |
|                 )
 | |
| 
 | |
|                 documents = []
 | |
|                 segments_count = 0
 | |
|                 for dataset_document in dataset_documents:
 | |
|                     segments = (
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|                         db.session.query(DocumentSegment)
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|                         .filter(
 | |
|                             DocumentSegment.document_id == dataset_document.id,
 | |
|                             DocumentSegment.status == "completed",
 | |
|                             DocumentSegment.enabled == True,
 | |
|                         )
 | |
|                         .all()
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|                     )
 | |
| 
 | |
|                     for segment in segments:
 | |
|                         document = Document(
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|                             page_content=segment.content,
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|                             metadata={
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|                                 "doc_id": segment.index_node_id,
 | |
|                                 "doc_hash": segment.index_node_hash,
 | |
|                                 "document_id": segment.document_id,
 | |
|                                 "dataset_id": segment.dataset_id,
 | |
|                             },
 | |
|                         )
 | |
| 
 | |
|                         documents.append(document)
 | |
|                         segments_count = segments_count + 1
 | |
| 
 | |
|                 if documents:
 | |
|                     try:
 | |
|                         click.echo(
 | |
|                             click.style(
 | |
|                                 f"Creating vector index with {len(documents)} documents of {segments_count}"
 | |
|                                 f" segments for dataset {dataset.id}.",
 | |
|                                 fg="green",
 | |
|                             )
 | |
|                         )
 | |
|                         vector.create(documents)
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|                         click.echo(click.style(f"Created vector index for dataset {dataset.id}.", fg="green"))
 | |
|                     except Exception as e:
 | |
|                         click.echo(click.style(f"Failed to created vector index for dataset {dataset.id}.", fg="red"))
 | |
|                         raise e
 | |
|                 db.session.add(dataset)
 | |
|                 db.session.commit()
 | |
|                 click.echo(f"Successfully migrated dataset {dataset.id}.")
 | |
|                 create_count += 1
 | |
|             except Exception as e:
 | |
|                 db.session.rollback()
 | |
|                 click.echo(
 | |
|                     click.style("Error creating dataset index: {} {}".format(e.__class__.__name__, str(e)), fg="red")
 | |
|                 )
 | |
|                 continue
 | |
| 
 | |
|     click.echo(
 | |
|         click.style(
 | |
|             f"Migration complete. Created {create_count} dataset indexes. Skipped {skipped_count} datasets.", fg="green"
 | |
|         )
 | |
|     )
 | |
| 
 | |
| 
 | |
| @click.command("convert-to-agent-apps", help="Convert Agent Assistant to Agent App.")
 | |
| def convert_to_agent_apps():
 | |
|     """
 | |
|     Convert Agent Assistant to Agent App.
 | |
|     """
 | |
|     click.echo(click.style("Starting convert to agent apps.", fg="green"))
 | |
| 
 | |
|     proceeded_app_ids = []
 | |
| 
 | |
|     while True:
 | |
|         # fetch first 1000 apps
 | |
|         sql_query = """SELECT a.id AS id FROM apps a
 | |
|             INNER JOIN app_model_configs am ON a.app_model_config_id=am.id
 | |
|             WHERE a.mode = 'chat'
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|             AND am.agent_mode is not null
 | |
|             AND (
 | |
| 				am.agent_mode like '%"strategy": "function_call"%'
 | |
|                 OR am.agent_mode  like '%"strategy": "react"%'
 | |
| 			)
 | |
|             AND (
 | |
| 				am.agent_mode like '{"enabled": true%'
 | |
|                 OR am.agent_mode like '{"max_iteration": %'
 | |
| 			) ORDER BY a.created_at DESC LIMIT 1000
 | |
|         """
 | |
| 
 | |
|         with db.engine.begin() as conn:
 | |
|             rs = conn.execute(db.text(sql_query))
 | |
| 
 | |
|             apps = []
 | |
|             for i in rs:
 | |
|                 app_id = str(i.id)
 | |
|                 if app_id not in proceeded_app_ids:
 | |
|                     proceeded_app_ids.append(app_id)
 | |
|                     app = db.session.query(App).filter(App.id == app_id).first()
 | |
|                     apps.append(app)
 | |
| 
 | |
|             if len(apps) == 0:
 | |
|                 break
 | |
| 
 | |
|         for app in apps:
 | |
|             click.echo("Converting app: {}".format(app.id))
 | |
| 
 | |
|             try:
 | |
|                 app.mode = AppMode.AGENT_CHAT.value
 | |
|                 db.session.commit()
 | |
| 
 | |
|                 # update conversation mode to agent
 | |
|                 db.session.query(Conversation).filter(Conversation.app_id == app.id).update(
 | |
|                     {Conversation.mode: AppMode.AGENT_CHAT.value}
 | |
|                 )
 | |
| 
 | |
|                 db.session.commit()
 | |
|                 click.echo(click.style("Converted app: {}".format(app.id), fg="green"))
 | |
|             except Exception as e:
 | |
|                 click.echo(click.style("Convert app error: {} {}".format(e.__class__.__name__, str(e)), fg="red"))
 | |
| 
 | |
|     click.echo(click.style("Conversion complete. Converted {} agent apps.".format(len(proceeded_app_ids)), fg="green"))
 | |
| 
 | |
| 
 | |
| @click.command("add-qdrant-doc-id-index", help="Add Qdrant doc_id index.")
 | |
| @click.option("--field", default="metadata.doc_id", prompt=False, help="Index field , default is metadata.doc_id.")
 | |
| def add_qdrant_doc_id_index(field: str):
 | |
|     click.echo(click.style("Starting Qdrant doc_id index creation.", fg="green"))
 | |
|     vector_type = dify_config.VECTOR_STORE
 | |
|     if vector_type != "qdrant":
 | |
|         click.echo(click.style("This command only supports Qdrant vector store.", fg="red"))
 | |
|         return
 | |
|     create_count = 0
 | |
| 
 | |
|     try:
 | |
|         bindings = db.session.query(DatasetCollectionBinding).all()
 | |
|         if not bindings:
 | |
|             click.echo(click.style("No dataset collection bindings found.", fg="red"))
 | |
|             return
 | |
|         import qdrant_client
 | |
|         from qdrant_client.http.exceptions import UnexpectedResponse
 | |
|         from qdrant_client.http.models import PayloadSchemaType
 | |
| 
 | |
|         from core.rag.datasource.vdb.qdrant.qdrant_vector import QdrantConfig
 | |
| 
 | |
|         for binding in bindings:
 | |
|             if dify_config.QDRANT_URL is None:
 | |
|                 raise ValueError("Qdrant URL is required.")
 | |
|             qdrant_config = QdrantConfig(
 | |
|                 endpoint=dify_config.QDRANT_URL,
 | |
|                 api_key=dify_config.QDRANT_API_KEY,
 | |
|                 root_path=current_app.root_path,
 | |
|                 timeout=dify_config.QDRANT_CLIENT_TIMEOUT,
 | |
|                 grpc_port=dify_config.QDRANT_GRPC_PORT,
 | |
|                 prefer_grpc=dify_config.QDRANT_GRPC_ENABLED,
 | |
|             )
 | |
|             try:
 | |
|                 client = qdrant_client.QdrantClient(**qdrant_config.to_qdrant_params())
 | |
|                 # create payload index
 | |
|                 client.create_payload_index(binding.collection_name, field, field_schema=PayloadSchemaType.KEYWORD)
 | |
|                 create_count += 1
 | |
|             except UnexpectedResponse as e:
 | |
|                 # Collection does not exist, so return
 | |
|                 if e.status_code == 404:
 | |
|                     click.echo(click.style(f"Collection not found: {binding.collection_name}.", fg="red"))
 | |
|                     continue
 | |
|                 # Some other error occurred, so re-raise the exception
 | |
|                 else:
 | |
|                     click.echo(
 | |
|                         click.style(
 | |
|                             f"Failed to create Qdrant index for collection: {binding.collection_name}.", fg="red"
 | |
|                         )
 | |
|                     )
 | |
| 
 | |
|     except Exception as e:
 | |
|         click.echo(click.style("Failed to create Qdrant client.", fg="red"))
 | |
| 
 | |
|     click.echo(click.style(f"Index creation complete. Created {create_count} collection indexes.", fg="green"))
 | |
| 
 | |
| 
 | |
| @click.command("create-tenant", help="Create account and tenant.")
 | |
| @click.option("--email", prompt=True, help="Tenant account email.")
 | |
| @click.option("--name", prompt=True, help="Workspace name.")
 | |
| @click.option("--language", prompt=True, help="Account language, default: en-US.")
 | |
| def create_tenant(email: str, language: Optional[str] = None, name: Optional[str] = None):
 | |
|     """
 | |
|     Create tenant account
 | |
|     """
 | |
|     if not email:
 | |
|         click.echo(click.style("Email is required.", fg="red"))
 | |
|         return
 | |
| 
 | |
|     # Create account
 | |
|     email = email.strip()
 | |
| 
 | |
|     if "@" not in email:
 | |
|         click.echo(click.style("Invalid email address.", fg="red"))
 | |
|         return
 | |
| 
 | |
|     account_name = email.split("@")[0]
 | |
| 
 | |
|     if language not in languages:
 | |
|         language = "en-US"
 | |
| 
 | |
|     name = name.strip()
 | |
| 
 | |
|     # generate random password
 | |
|     new_password = secrets.token_urlsafe(16)
 | |
| 
 | |
|     # register account
 | |
|     account = RegisterService.register(email=email, name=account_name, password=new_password, language=language)
 | |
| 
 | |
|     TenantService.create_owner_tenant_if_not_exist(account, name)
 | |
| 
 | |
|     click.echo(
 | |
|         click.style(
 | |
|             "Account and tenant created.\nAccount: {}\nPassword: {}".format(email, new_password),
 | |
|             fg="green",
 | |
|         )
 | |
|     )
 | |
| 
 | |
| 
 | |
| @click.command("upgrade-db", help="Upgrade the database")
 | |
| def upgrade_db():
 | |
|     click.echo("Preparing database migration...")
 | |
|     lock = redis_client.lock(name="db_upgrade_lock", timeout=60)
 | |
|     if lock.acquire(blocking=False):
 | |
|         try:
 | |
|             click.echo(click.style("Starting database migration.", fg="green"))
 | |
| 
 | |
|             # run db migration
 | |
|             import flask_migrate
 | |
| 
 | |
|             flask_migrate.upgrade()
 | |
| 
 | |
|             click.echo(click.style("Database migration successful!", fg="green"))
 | |
| 
 | |
|         except Exception as e:
 | |
|             logging.exception("Failed to execute database migration")
 | |
|         finally:
 | |
|             lock.release()
 | |
|     else:
 | |
|         click.echo("Database migration skipped")
 | |
| 
 | |
| 
 | |
| @click.command("fix-app-site-missing", help="Fix app related site missing issue.")
 | |
| def fix_app_site_missing():
 | |
|     """
 | |
|     Fix app related site missing issue.
 | |
|     """
 | |
|     click.echo(click.style("Starting fix for missing app-related sites.", fg="green"))
 | |
| 
 | |
|     failed_app_ids = []
 | |
|     while True:
 | |
|         sql = """select apps.id as id from apps left join sites on sites.app_id=apps.id
 | |
| where sites.id is null limit 1000"""
 | |
|         with db.engine.begin() as conn:
 | |
|             rs = conn.execute(db.text(sql))
 | |
| 
 | |
|             processed_count = 0
 | |
|             for i in rs:
 | |
|                 processed_count += 1
 | |
|                 app_id = str(i.id)
 | |
| 
 | |
|                 if app_id in failed_app_ids:
 | |
|                     continue
 | |
| 
 | |
|                 try:
 | |
|                     app = db.session.query(App).filter(App.id == app_id).first()
 | |
|                     tenant = app.tenant
 | |
|                     if tenant:
 | |
|                         accounts = tenant.get_accounts()
 | |
|                         if not accounts:
 | |
|                             print("Fix failed for app {}".format(app.id))
 | |
|                             continue
 | |
| 
 | |
|                         account = accounts[0]
 | |
|                         print("Fixing missing site for app {}".format(app.id))
 | |
|                         app_was_created.send(app, account=account)
 | |
|                 except Exception as e:
 | |
|                     failed_app_ids.append(app_id)
 | |
|                     click.echo(click.style("Failed to fix missing site for app {}".format(app_id), fg="red"))
 | |
|                     logging.exception(f"Failed to fix app related site missing issue, app_id: {app_id}")
 | |
|                     continue
 | |
| 
 | |
|             if not processed_count:
 | |
|                 break
 | |
| 
 | |
|     click.echo(click.style("Fix for missing app-related sites completed successfully!", fg="green"))
 | |
| 
 | |
| 
 | |
| def register_commands(app):
 | |
|     app.cli.add_command(reset_password)
 | |
|     app.cli.add_command(reset_email)
 | |
|     app.cli.add_command(reset_encrypt_key_pair)
 | |
|     app.cli.add_command(vdb_migrate)
 | |
|     app.cli.add_command(convert_to_agent_apps)
 | |
|     app.cli.add_command(add_qdrant_doc_id_index)
 | |
|     app.cli.add_command(create_tenant)
 | |
|     app.cli.add_command(upgrade_db)
 | |
|     app.cli.add_command(fix_app_site_missing)
 | 
