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378 lines
16 KiB
Python
378 lines
16 KiB
Python
import base64
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import json
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import secrets
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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 core.rag.datasource.vdb.vector_factory import Vector
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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 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, MessageAnnotation
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from models.provider import Provider, ProviderModel
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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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tenant = db.session.query(Tenant).first()
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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').delete()
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db.session.query(ProviderModel).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 == "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": '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 == "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": '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 == "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": '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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else:
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raise ValueError(f"Vector store {config.get('VECTOR_STORE')} 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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def register_commands(app):
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app.cli.add_command(reset_password)
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app.cli.add_command(reset_email)
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app.cli.add_command(reset_encrypt_key_pair)
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app.cli.add_command(vdb_migrate)
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