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597 lines
25 KiB
Python
597 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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import click
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from flask import current_app
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from werkzeug.exceptions import NotFound
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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 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.account 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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@click.command('reset-password', help='Reset the account password.')
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@click.option('--email', prompt=True, help='The email address of the account whose password you need to reset')
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@click.option('--new-password', prompt=True, help='the new password.')
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@click.option('--password-confirm', prompt=True, help='the new password confirm.')
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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('sorry. The two passwords do not match.', fg='red'))
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return
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account = db.session.query(Account). \
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filter(Account.email == email). \
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one_or_none()
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if not account:
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click.echo(click.style('sorry. the account: [{}] not exist .'.format(email), fg='red'))
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return
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try:
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valid_password(new_password)
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except:
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click.echo(
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click.style('sorry. The passwords must match {} '.format(password_pattern), fg='red'))
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return
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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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# 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('Congratulations! Password has been reset.', fg='green'))
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@click.command('reset-email', help='Reset the account email.')
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@click.option('--email', prompt=True, help='The old email address of the account whose email you need to reset')
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@click.option('--new-email', prompt=True, help='the new email.')
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@click.option('--email-confirm', prompt=True, help='the new email confirm.')
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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('Sorry, new email and confirm email do not match.', fg='red'))
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return
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account = db.session.query(Account). \
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filter(Account.email == email). \
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one_or_none()
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if not account:
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click.echo(click.style('sorry. the account: [{}] not exist .'.format(email), fg='red'))
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return
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try:
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email_validate(new_email)
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except:
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click.echo(
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click.style('sorry. {} is not a valid email. '.format(email), fg='red'))
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return
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account.email = new_email
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db.session.commit()
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click.echo(click.style('Congratulations!, email has been reset.', fg='green'))
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@click.command('reset-encrypt-key-pair', 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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@click.confirmation_option(prompt=click.style('Are you sure you want to reset encrypt key pair?'
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' this operation cannot be rolled back!', fg='red'))
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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 current_app.config['EDITION'] != 'SELF_HOSTED':
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click.echo(click.style('Sorry, only support SELF_HOSTED mode.', fg='red'))
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return
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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('Sorry, no workspace found. Please enter /install to initialize.', fg='red'))
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return
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tenant.encrypt_public_key = generate_key_pair(tenant.id)
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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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click.echo(click.style('Congratulations! '
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'the asymmetric key pair of workspace {} has been reset.'.format(tenant.id), fg='green'))
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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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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('Start migrate annotation data.', 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 = db.session.query(App).filter(
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App.status == 'normal'
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).order_by(App.created_at.desc()).paginate(page=page, per_page=50)
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except NotFound:
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break
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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(f'Processing the {total_count} app {app.id}. '
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+ f'{create_count} created, {skipped_count} skipped.')
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try:
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click.echo('Create app annotation index: {}'.format(app.id))
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app_annotation_setting = db.session.query(AppAnnotationSetting).filter(
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AppAnnotationSetting.app_id == app.id
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).first()
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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 is 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 = db.session.query(DatasetCollectionBinding).filter(
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DatasetCollectionBinding.id == app_annotation_setting.collection_binding_id
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).first()
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if not dataset_collection_binding:
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click.echo('App annotation collection binding is not exist: {}'.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={
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"annotation_id": annotation.id,
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"app_id": app.id,
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"doc_id": annotation.id
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}
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)
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documents.append(document)
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vector = Vector(dataset, attributes=['doc_id', 'annotation_id', 'app_id'])
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click.echo(f"Start to migrate annotation, app_id: {app.id}.")
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try:
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vector.delete()
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click.echo(
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click.style(f'Successfully delete vector index for app: {app.id}.',
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fg='green'))
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except Exception as e:
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click.echo(
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click.style(f'Failed to delete vector index for app {app.id}.',
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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(click.style(
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f'Start to created vector index with {len(documents)} annotations for app {app.id}.',
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fg='green'))
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vector.create(documents)
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click.echo(
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click.style(f'Successfully 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('Create app annotation index error: {} {}'.format(e.__class__.__name__, str(e)),
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fg='red'))
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continue
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click.echo(
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click.style(f'Congratulations! Create {create_count} app annotation indexes, and skipped {skipped_count} apps.',
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fg='green'))
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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('Start migrate vector db.', 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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config = current_app.config
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vector_type = config.get('VECTOR_STORE')
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page = 1
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while True:
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try:
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datasets = db.session.query(Dataset).filter(Dataset.indexing_technique == 'high_quality') \
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.order_by(Dataset.created_at.desc()).paginate(page=page, per_page=50)
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except NotFound:
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break
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page += 1
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for dataset in datasets:
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total_count = total_count + 1
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click.echo(f'Processing the {total_count} dataset {dataset.id}. '
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+ f'{create_count} created, {skipped_count} skipped.')
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try:
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click.echo('Create dataset vdb index: {}'.format(dataset.id))
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if dataset.index_struct_dict:
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if dataset.index_struct_dict['type'] == vector_type:
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skipped_count = skipped_count + 1
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continue
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collection_name = ''
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if vector_type == VectorType.WEAVIATE:
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dataset_id = dataset.id
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collection_name = Dataset.gen_collection_name_by_id(dataset_id)
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index_struct_dict = {
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"type": VectorType.WEAVIATE,
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"vector_store": {"class_prefix": collection_name}
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}
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dataset.index_struct = json.dumps(index_struct_dict)
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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 = 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
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else:
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raise ValueError('Dataset Collection Bindings is not exist!')
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else:
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dataset_id = dataset.id
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collection_name = Dataset.gen_collection_name_by_id(dataset_id)
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index_struct_dict = {
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"type": VectorType.QDRANT,
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"vector_store": {"class_prefix": collection_name}
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}
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dataset.index_struct = json.dumps(index_struct_dict)
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elif vector_type == VectorType.MILVUS:
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dataset_id = dataset.id
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collection_name = Dataset.gen_collection_name_by_id(dataset_id)
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index_struct_dict = {
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"type": VectorType.MILVUS,
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"vector_store": {"class_prefix": collection_name}
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}
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dataset.index_struct = json.dumps(index_struct_dict)
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elif vector_type == VectorType.RELYT:
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dataset_id = dataset.id
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collection_name = Dataset.gen_collection_name_by_id(dataset_id)
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index_struct_dict = {
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"type": 'relyt',
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"vector_store": {"class_prefix": collection_name}
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}
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dataset.index_struct = json.dumps(index_struct_dict)
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elif vector_type == VectorType.TENCENT:
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dataset_id = dataset.id
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collection_name = Dataset.gen_collection_name_by_id(dataset_id)
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index_struct_dict = {
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"type": VectorType.TENCENT,
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"vector_store": {"class_prefix": collection_name}
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}
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dataset.index_struct = json.dumps(index_struct_dict)
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elif vector_type == VectorType.PGVECTOR:
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dataset_id = dataset.id
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collection_name = Dataset.gen_collection_name_by_id(dataset_id)
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index_struct_dict = {
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"type": VectorType.PGVECTOR,
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"vector_store": {"class_prefix": collection_name}
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}
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dataset.index_struct = json.dumps(index_struct_dict)
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elif vector_type == VectorType.OPENSEARCH:
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dataset_id = dataset.id
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collection_name = Dataset.gen_collection_name_by_id(dataset_id)
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index_struct_dict = {
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"type": VectorType.OPENSEARCH,
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"vector_store": {"class_prefix": collection_name}
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}
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dataset.index_struct = json.dumps(index_struct_dict)
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else:
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raise ValueError(f"Vector store {vector_type} is not supported.")
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vector = Vector(dataset)
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click.echo(f"Start to migrate dataset {dataset.id}.")
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try:
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vector.delete()
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click.echo(
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click.style(f'Successfully delete vector index {collection_name} for dataset {dataset.id}.',
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fg='green'))
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except Exception as e:
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click.echo(
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click.style(f'Failed to delete vector index {collection_name} for dataset {dataset.id}.',
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fg='red'))
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raise e
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dataset_documents = db.session.query(DatasetDocument).filter(
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DatasetDocument.dataset_id == dataset.id,
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DatasetDocument.indexing_status == 'completed',
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DatasetDocument.enabled == True,
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DatasetDocument.archived == False,
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).all()
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documents = []
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segments_count = 0
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for dataset_document in dataset_documents:
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segments = db.session.query(DocumentSegment).filter(
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DocumentSegment.document_id == dataset_document.id,
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DocumentSegment.status == 'completed',
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DocumentSegment.enabled == True
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).all()
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for segment in segments:
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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,
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"doc_hash": segment.index_node_hash,
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"document_id": segment.document_id,
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"dataset_id": segment.dataset_id,
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}
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)
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documents.append(document)
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segments_count = segments_count + 1
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if documents:
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try:
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click.echo(click.style(
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f'Start to created vector index with {len(documents)} documents of {segments_count} segments for dataset {dataset.id}.',
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fg='green'))
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vector.create(documents)
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click.echo(
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click.style(f'Successfully created vector index for dataset {dataset.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 dataset {dataset.id}.', fg='red'))
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raise e
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db.session.add(dataset)
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db.session.commit()
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click.echo(f'Successfully migrated dataset {dataset.id}.')
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create_count += 1
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except Exception as e:
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db.session.rollback()
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click.echo(
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click.style('Create dataset index error: {} {}'.format(e.__class__.__name__, str(e)),
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fg='red'))
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continue
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click.echo(
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click.style(f'Congratulations! Create {create_count} dataset indexes, and skipped {skipped_count} datasets.',
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fg='green'))
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@click.command('convert-to-agent-apps', help='Convert Agent Assistant to Agent App.')
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def convert_to_agent_apps():
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"""
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Convert Agent Assistant to Agent App.
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"""
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click.echo(click.style('Start convert to agent apps.', fg='green'))
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proceeded_app_ids = []
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while True:
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# fetch first 1000 apps
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sql_query = """SELECT a.id AS id FROM apps a
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INNER JOIN app_model_configs am ON a.app_model_config_id=am.id
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WHERE a.mode = 'chat'
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AND am.agent_mode is not null
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AND (
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am.agent_mode like '%"strategy": "function_call"%'
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OR am.agent_mode like '%"strategy": "react"%'
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)
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AND (
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am.agent_mode like '{"enabled": true%'
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OR am.agent_mode like '{"max_iteration": %'
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) ORDER BY a.created_at DESC LIMIT 1000
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"""
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with db.engine.begin() as conn:
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rs = conn.execute(db.text(sql_query))
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apps = []
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for i in rs:
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app_id = str(i.id)
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if app_id not in proceeded_app_ids:
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proceeded_app_ids.append(app_id)
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app = db.session.query(App).filter(App.id == app_id).first()
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apps.append(app)
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if len(apps) == 0:
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break
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for app in apps:
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click.echo('Converting app: {}'.format(app.id))
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try:
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app.mode = AppMode.AGENT_CHAT.value
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db.session.commit()
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# update conversation mode to agent
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db.session.query(Conversation).filter(Conversation.app_id == app.id).update(
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{Conversation.mode: AppMode.AGENT_CHAT.value}
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)
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db.session.commit()
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click.echo(click.style('Converted app: {}'.format(app.id), fg='green'))
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except Exception as e:
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click.echo(
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click.style('Convert app error: {} {}'.format(e.__class__.__name__,
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str(e)), fg='red'))
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click.echo(click.style('Congratulations! Converted {} agent apps.'.format(len(proceeded_app_ids)), fg='green'))
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@click.command('add-qdrant-doc-id-index', help='add qdrant doc_id index.')
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@click.option('--field', default='metadata.doc_id', prompt=False, help='index field , default is metadata.doc_id.')
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def add_qdrant_doc_id_index(field: str):
|
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click.echo(click.style('Start add qdrant doc_id index.', fg='green'))
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config = current_app.config
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vector_type = config.get('VECTOR_STORE')
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if vector_type != "qdrant":
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click.echo(click.style('Sorry, only support qdrant vector store.', fg='red'))
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return
|
|
create_count = 0
|
|
|
|
try:
|
|
bindings = db.session.query(DatasetCollectionBinding).all()
|
|
if not bindings:
|
|
click.echo(click.style('Sorry, 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:
|
|
qdrant_config = QdrantConfig(
|
|
endpoint=config.get('QDRANT_URL'),
|
|
api_key=config.get('QDRANT_API_KEY'),
|
|
root_path=current_app.root_path,
|
|
timeout=config.get('QDRANT_CLIENT_TIMEOUT'),
|
|
grpc_port=config.get('QDRANT_GRPC_PORT'),
|
|
prefer_grpc=config.get('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, collection_name:{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, collection_name:{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'Congratulations! Create {create_count} collection indexes.',
|
|
fg='green'))
|
|
|
|
|
|
@click.command('create-tenant', help='Create account and tenant.')
|
|
@click.option('--email', prompt=True, help='The email address of the tenant account.')
|
|
@click.option('--language', prompt=True, help='Account language, default: en-US.')
|
|
def create_tenant(email: str, language: Optional[str] = None):
|
|
"""
|
|
Create tenant account
|
|
"""
|
|
if not email:
|
|
click.echo(click.style('Sorry, email is required.', fg='red'))
|
|
return
|
|
|
|
# Create account
|
|
email = email.strip()
|
|
|
|
if '@' not in email:
|
|
click.echo(click.style('Sorry, invalid email address.', fg='red'))
|
|
return
|
|
|
|
account_name = email.split('@')[0]
|
|
|
|
if language not in languages:
|
|
language = 'en-US'
|
|
|
|
# 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)
|
|
|
|
click.echo(click.style('Congratulations! Account and tenant created.\n'
|
|
'Account: {}\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('Start 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(f'Database migration failed, error: {e}')
|
|
finally:
|
|
lock.release()
|
|
else:
|
|
click.echo('Database migration skipped')
|
|
|
|
|
|
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)
|