import datetime import json import math import random import string import time import click from flask import current_app from langchain.embeddings import OpenAIEmbeddings from werkzeug.exceptions import NotFound from core.embedding.cached_embedding import CacheEmbedding from core.index.index import IndexBuilder from core.model_providers.model_factory import ModelFactory from core.model_providers.models.embedding.openai_embedding import OpenAIEmbedding from core.model_providers.models.entity.model_params import ModelType from core.model_providers.providers.hosted import hosted_model_providers from core.model_providers.providers.openai_provider import OpenAIProvider from libs.password import password_pattern, valid_password, hash_password from libs.helper import email as email_validate from extensions.ext_database import db from libs.rsa import generate_key_pair from models.account import InvitationCode, Tenant from models.dataset import Dataset, DatasetQuery, Document from models.model import Account import secrets import base64 from models.provider import Provider, ProviderType, ProviderQuotaType, ProviderModel @click.command('reset-password', help='Reset the account password.') @click.option('--email', prompt=True, help='The email address of the account whose password you need to reset') @click.option('--new-password', prompt=True, help='the new password.') @click.option('--password-confirm', prompt=True, help='the new password confirm.') def reset_password(email, new_password, password_confirm): if str(new_password).strip() != str(password_confirm).strip(): click.echo(click.style('sorry. The two passwords do not match.', fg='red')) return account = db.session.query(Account). \ filter(Account.email == email). \ one_or_none() if not account: click.echo(click.style('sorry. the account: [{}] not exist .'.format(email), fg='red')) return try: valid_password(new_password) except: click.echo( click.style('sorry. The passwords must match {} '.format(password_pattern), fg='red')) return # generate password salt salt = secrets.token_bytes(16) base64_salt = base64.b64encode(salt).decode() # encrypt password with salt password_hashed = hash_password(new_password, salt) base64_password_hashed = base64.b64encode(password_hashed).decode() account.password = base64_password_hashed account.password_salt = base64_salt db.session.commit() click.echo(click.style('Congratulations!, password has been reset.', fg='green')) @click.command('reset-email', help='Reset the account email.') @click.option('--email', prompt=True, help='The old email address of the account whose email you need to reset') @click.option('--new-email', prompt=True, help='the new email.') @click.option('--email-confirm', prompt=True, help='the new email confirm.') def reset_email(email, new_email, email_confirm): if str(new_email).strip() != str(email_confirm).strip(): click.echo(click.style('Sorry, new email and confirm email do not match.', fg='red')) return account = db.session.query(Account). \ filter(Account.email == email). \ one_or_none() if not account: click.echo(click.style('sorry. the account: [{}] not exist .'.format(email), fg='red')) return try: email_validate(new_email) except: click.echo( click.style('sorry. {} is not a valid email. '.format(email), fg='red')) return account.email = new_email db.session.commit() click.echo(click.style('Congratulations!, email has been reset.', fg='green')) @click.command('reset-encrypt-key-pair', help='Reset the asymmetric key pair of workspace for encrypt LLM credentials. ' 'After the reset, all LLM credentials will become invalid, ' 'requiring re-entry.' 'Only support SELF_HOSTED mode.') @click.confirmation_option(prompt=click.style('Are you sure you want to reset encrypt key pair?' ' this operation cannot be rolled back!', fg='red')) def reset_encrypt_key_pair(): if current_app.config['EDITION'] != 'SELF_HOSTED': click.echo(click.style('Sorry, only support SELF_HOSTED mode.', fg='red')) return tenant = db.session.query(Tenant).first() if not tenant: click.echo(click.style('Sorry, no workspace found. Please enter /install to initialize.', fg='red')) return tenant.encrypt_public_key = generate_key_pair(tenant.id) db.session.query(Provider).filter(Provider.provider_type == 'custom').delete() db.session.query(ProviderModel).delete() db.session.commit() click.echo(click.style('Congratulations! ' 'the asymmetric key pair of workspace {} has been reset.'.format(tenant.id), fg='green')) @click.command('generate-invitation-codes', help='Generate invitation codes.') @click.option('--batch', help='The batch of invitation codes.') @click.option('--count', prompt=True, help='Invitation codes count.') def generate_invitation_codes(batch, count): if not batch: now = datetime.datetime.now() batch = now.strftime('%Y%m%d%H%M%S') if not count or int(count) <= 0: click.echo(click.style('sorry. the count must be greater than 0.', fg='red')) return count = int(count) click.echo('Start generate {} invitation codes for batch {}.'.format(count, batch)) codes = '' for i in range(count): code = generate_invitation_code() invitation_code = InvitationCode( code=code, batch=batch ) db.session.add(invitation_code) click.echo(code) codes += code + "\n" db.session.commit() filename = 'storage/invitation-codes-{}.txt'.format(batch) with open(filename, 'w') as f: f.write(codes) click.echo(click.style( 'Congratulations! Generated {} invitation codes for batch {} and saved to the file \'{}\''.format(count, batch, filename), fg='green')) def generate_invitation_code(): code = generate_upper_string() while db.session.query(InvitationCode).filter(InvitationCode.code == code).count() > 0: code = generate_upper_string() return code def generate_upper_string(): letters_digits = string.ascii_uppercase + string.digits result = "" for i in range(8): result += random.choice(letters_digits) return result @click.command('recreate-all-dataset-indexes', help='Recreate all dataset indexes.') def recreate_all_dataset_indexes(): click.echo(click.style('Start recreate all dataset indexes.', fg='green')) recreate_count = 0 page = 1 while True: try: datasets = db.session.query(Dataset).filter(Dataset.indexing_technique == 'high_quality') \ .order_by(Dataset.created_at.desc()).paginate(page=page, per_page=50) except NotFound: break page += 1 for dataset in datasets: try: click.echo('Recreating dataset index: {}'.format(dataset.id)) index = IndexBuilder.get_index(dataset, 'high_quality') if index and index._is_origin(): index.recreate_dataset(dataset) recreate_count += 1 else: click.echo('passed.') except Exception as e: click.echo( click.style('Recreate dataset index error: {} {}'.format(e.__class__.__name__, str(e)), fg='red')) continue click.echo(click.style('Congratulations! Recreate {} dataset indexes.'.format(recreate_count), fg='green')) @click.command('clean-unused-dataset-indexes', help='Clean unused dataset indexes.') def clean_unused_dataset_indexes(): click.echo(click.style('Start clean unused dataset indexes.', fg='green')) clean_days = int(current_app.config.get('CLEAN_DAY_SETTING')) start_at = time.perf_counter() thirty_days_ago = datetime.datetime.now() - datetime.timedelta(days=clean_days) page = 1 while True: try: datasets = db.session.query(Dataset).filter(Dataset.created_at < thirty_days_ago) \ .order_by(Dataset.created_at.desc()).paginate(page=page, per_page=50) except NotFound: break page += 1 for dataset in datasets: dataset_query = db.session.query(DatasetQuery).filter( DatasetQuery.created_at > thirty_days_ago, DatasetQuery.dataset_id == dataset.id ).all() if not dataset_query or len(dataset_query) == 0: documents = db.session.query(Document).filter( Document.dataset_id == dataset.id, Document.indexing_status == 'completed', Document.enabled == True, Document.archived == False, Document.updated_at > thirty_days_ago ).all() if not documents or len(documents) == 0: try: # remove index vector_index = IndexBuilder.get_index(dataset, 'high_quality') kw_index = IndexBuilder.get_index(dataset, 'economy') # delete from vector index if vector_index: vector_index.delete() kw_index.delete() # update document update_params = { Document.enabled: False } Document.query.filter_by(dataset_id=dataset.id).update(update_params) db.session.commit() click.echo(click.style('Cleaned unused dataset {} from db success!'.format(dataset.id), fg='green')) except Exception as e: click.echo( click.style('clean dataset index error: {} {}'.format(e.__class__.__name__, str(e)), fg='red')) end_at = time.perf_counter() click.echo(click.style('Cleaned unused dataset from db success latency: {}'.format(end_at - start_at), fg='green')) @click.command('sync-anthropic-hosted-providers', help='Sync anthropic hosted providers.') def sync_anthropic_hosted_providers(): if not hosted_model_providers.anthropic: click.echo(click.style('Anthropic hosted provider is not configured.', fg='red')) return click.echo(click.style('Start sync anthropic hosted providers.', fg='green')) count = 0 new_quota_limit = hosted_model_providers.anthropic.quota_limit page = 1 while True: try: providers = db.session.query(Provider).filter( Provider.provider_name == 'anthropic', Provider.provider_type == ProviderType.SYSTEM.value, Provider.quota_type == ProviderQuotaType.TRIAL.value, Provider.quota_limit != new_quota_limit ).order_by(Provider.created_at.desc()).paginate(page=page, per_page=100) except NotFound: break page += 1 for provider in providers: try: click.echo('Syncing tenant anthropic hosted provider: {}, origin: limit {}, used {}' .format(provider.tenant_id, provider.quota_limit, provider.quota_used)) original_quota_limit = provider.quota_limit division = math.ceil(new_quota_limit / 1000) provider.quota_limit = new_quota_limit if original_quota_limit == 1000 \ else original_quota_limit * division provider.quota_used = division * provider.quota_used db.session.commit() count += 1 except Exception as e: click.echo(click.style( 'Sync tenant anthropic hosted provider error: {} {}'.format(e.__class__.__name__, str(e)), fg='red')) continue click.echo(click.style('Congratulations! Synced {} anthropic hosted providers.'.format(count), fg='green')) @click.command('create-qdrant-indexes', help='Create qdrant indexes.') def create_qdrant_indexes(): click.echo(click.style('Start create qdrant indexes.', fg='green')) create_count = 0 page = 1 while True: try: datasets = db.session.query(Dataset).filter(Dataset.indexing_technique == 'high_quality') \ .order_by(Dataset.created_at.desc()).paginate(page=page, per_page=50) except NotFound: break page += 1 for dataset in datasets: try: click.echo('Create dataset qdrant index: {}'.format(dataset.id)) try: embedding_model = ModelFactory.get_embedding_model( tenant_id=dataset.tenant_id, model_provider_name=dataset.embedding_model_provider, model_name=dataset.embedding_model ) except Exception: provider = Provider( id='provider_id', tenant_id=dataset.tenant_id, provider_name='openai', provider_type=ProviderType.CUSTOM.value, encrypted_config=json.dumps({'openai_api_key': 'TEST'}), is_valid=True, ) model_provider = OpenAIProvider(provider=provider) embedding_model = OpenAIEmbedding(name="text-embedding-ada-002", model_provider=model_provider) embeddings = CacheEmbedding(embedding_model) from core.index.vector_index.qdrant_vector_index import QdrantVectorIndex, QdrantConfig index = QdrantVectorIndex( dataset=dataset, config=QdrantConfig( endpoint=current_app.config.get('QDRANT_URL'), api_key=current_app.config.get('QDRANT_API_KEY'), root_path=current_app.root_path ), embeddings=embeddings ) if index: index_struct = { "type": 'qdrant', "vector_store": {"class_prefix": dataset.index_struct_dict['vector_store']['class_prefix']} } dataset.index_struct = json.dumps(index_struct) db.session.commit() index.create_qdrant_dataset(dataset) create_count += 1 else: click.echo('passed.') except Exception as e: click.echo( click.style('Create dataset index error: {} {}'.format(e.__class__.__name__, str(e)), fg='red')) continue click.echo(click.style('Congratulations! Create {} dataset indexes.'.format(create_count), fg='green')) @click.command('update-qdrant-indexes', help='Update qdrant indexes.') def update_qdrant_indexes(): click.echo(click.style('Start Update qdrant indexes.', fg='green')) create_count = 0 page = 1 while True: try: datasets = db.session.query(Dataset).filter(Dataset.indexing_technique == 'high_quality') \ .order_by(Dataset.created_at.desc()).paginate(page=page, per_page=50) except NotFound: break page += 1 for dataset in datasets: if dataset.index_struct_dict: if dataset.index_struct_dict['type'] != 'qdrant': try: click.echo('Update dataset qdrant index: {}'.format(dataset.id)) try: embedding_model = ModelFactory.get_embedding_model( tenant_id=dataset.tenant_id, model_provider_name=dataset.embedding_model_provider, model_name=dataset.embedding_model ) except Exception: provider = Provider( id='provider_id', tenant_id=dataset.tenant_id, provider_name='openai', provider_type=ProviderType.CUSTOM.value, encrypted_config=json.dumps({'openai_api_key': 'TEST'}), is_valid=True, ) model_provider = OpenAIProvider(provider=provider) embedding_model = OpenAIEmbedding(name="text-embedding-ada-002", model_provider=model_provider) embeddings = CacheEmbedding(embedding_model) from core.index.vector_index.qdrant_vector_index import QdrantVectorIndex, QdrantConfig index = QdrantVectorIndex( dataset=dataset, config=QdrantConfig( endpoint=current_app.config.get('QDRANT_URL'), api_key=current_app.config.get('QDRANT_API_KEY'), root_path=current_app.root_path ), embeddings=embeddings ) if index: index.update_qdrant_dataset(dataset) create_count += 1 else: click.echo('passed.') except Exception as e: click.echo( click.style('Create dataset index error: {} {}'.format(e.__class__.__name__, str(e)), fg='red')) continue click.echo(click.style('Congratulations! Update {} dataset indexes.'.format(create_count), fg='green')) def register_commands(app): app.cli.add_command(reset_password) app.cli.add_command(reset_email) app.cli.add_command(generate_invitation_codes) app.cli.add_command(reset_encrypt_key_pair) app.cli.add_command(recreate_all_dataset_indexes) app.cli.add_command(sync_anthropic_hosted_providers) app.cli.add_command(clean_unused_dataset_indexes) app.cli.add_command(create_qdrant_indexes) app.cli.add_command(update_qdrant_indexes)