feat: some unused command-line tasks were removed. (#2281)

api/commands.py

@@ -1,32 +1,20 @@
 import base64
-import datetime
 import json
-import math
-import random
 import secrets
-import string
-import threading
-import time
-import uuid
 
 import click
-import qdrant_client
-from constants.languages import user_input_form_template
 from core.embedding.cached_embedding import CacheEmbedding
-from core.index.index import IndexBuilder
 from core.model_manager import ModelManager
 from core.model_runtime.entities.model_entities import ModelType
 from extensions.ext_database import db
-from flask import Flask, current_app
+from flask import current_app
 from libs.helper import email as email_validate
 from libs.password import hash_password, password_pattern, valid_password
 from libs.rsa import generate_key_pair
-from models.account import InvitationCode, Tenant, TenantAccountJoin
-from models.dataset import Dataset, DatasetCollectionBinding, DatasetQuery, Document
-from models.model import Account, App, AppModelConfig, Message, MessageAnnotation, InstalledApp
-from models.provider import Provider, ProviderModel, ProviderQuotaType, ProviderType
-from qdrant_client.http.models import TextIndexParams, TextIndexType, TokenizerType
-from tqdm import tqdm
+from models.account import Tenant
+from models.dataset import Dataset
+from models.model import Account
+from models.provider import Provider, ProviderModel
 from werkzeug.exceptions import NotFound
 
 
@@ -35,15 +23,22 @@ from werkzeug.exceptions import NotFound
 @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):
+    """
+    Reset password of owner account
+    Only available in SELF_HOSTED mode
+    """
     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:
@@ -69,15 +64,22 @@ def reset_password(email, new_password, password_confirm):
 @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):
+    """
+    Replace account email
+    :return:
+    """
     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:
@@ -97,6 +99,11 @@ def reset_email(email, new_email, email_confirm):
 @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():
+    """
+    Reset the encrypted 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.
+    """
     if current_app.config['EDITION'] != 'SELF_HOSTED':
         click.echo(click.style('Sorry, only support SELF_HOSTED mode.', fg='red'))
         return
@@ -116,201 +123,11 @@ def reset_encrypt_key_pair():
                            '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:
-                            if dataset.collection_binding_id:
-                                vector_index.delete_by_group_id(dataset.id)
-                            else:
-                                if dataset.collection_binding_id:
-                                    vector_index.delete_by_group_id(dataset.id)
-                                else:
-                                    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():
+    """
+    Migrate other vector database datas to Qdrant.
+    """
     click.echo(click.style('Start create qdrant indexes.', fg='green'))
     create_count = 0
 
@@ -374,366 +191,8 @@ def create_qdrant_indexes():
     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
-        model_manager = ModelManager()
-        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 = model_manager.get_model_instance(
-                                tenant_id=dataset.tenant_id,
-                                provider=dataset.embedding_model_provider,
-                                model_type=ModelType.TEXT_EMBEDDING,
-                                model=dataset.embedding_model
-
-                            )
-                        except Exception:
-                            continue
-                        embeddings = CacheEmbedding(embedding_model)
-
-                        from core.index.vector_index.qdrant_vector_index import QdrantConfig, QdrantVectorIndex
-
-                        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'))
-
-
-@click.command('normalization-collections', help='restore all collections in one')
-def normalization_collections():
-    click.echo(click.style('Start normalization collections.', fg='green'))
-    normalization_count = []
-    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=100)
-        except NotFound:
-            break
-        datasets_result = datasets.items
-        page += 1
-        for i in range(0, len(datasets_result), 5):
-            threads = []
-            sub_datasets = datasets_result[i:i + 5]
-            for dataset in sub_datasets:
-                document_format_thread = threading.Thread(target=deal_dataset_vector, kwargs={
-                    'flask_app': current_app._get_current_object(),
-                    'dataset': dataset,
-                    'normalization_count': normalization_count
-                })
-                threads.append(document_format_thread)
-                document_format_thread.start()
-            for thread in threads:
-                thread.join()
-
-    click.echo(click.style('Congratulations! restore {} dataset indexes.'.format(len(normalization_count)), fg='green'))
-
-
-@click.command('add-qdrant-full-text-index', help='add qdrant full text index')
-def add_qdrant_full_text_index():
-    click.echo(click.style('Start add full text index.', fg='green'))
-    binds = db.session.query(DatasetCollectionBinding).all()
-    if binds and current_app.config['VECTOR_STORE'] == 'qdrant':
-        qdrant_url = current_app.config['QDRANT_URL']
-        qdrant_api_key = current_app.config['QDRANT_API_KEY']
-        client = qdrant_client.QdrantClient(
-            qdrant_url,
-            api_key=qdrant_api_key,  # For Qdrant Cloud, None for local instance
-        )
-        for bind in binds:
-            try:
-                text_index_params = TextIndexParams(
-                    type=TextIndexType.TEXT,
-                    tokenizer=TokenizerType.MULTILINGUAL,
-                    min_token_len=2,
-                    max_token_len=20,
-                    lowercase=True
-                )
-                client.create_payload_index(bind.collection_name, 'page_content',
-                                            field_schema=text_index_params)
-            except Exception as e:
-                click.echo(
-                    click.style('Create full text index error: {} {}'.format(e.__class__.__name__, str(e)),
-                                fg='red'))
-            click.echo(
-                click.style(
-                    'Congratulations! add collection {} full text index successful.'.format(bind.collection_name),
-                    fg='green'))
-
-
-def deal_dataset_vector(flask_app: Flask, dataset: Dataset, normalization_count: list):
-    with flask_app.app_context():
-        try:
-            click.echo('restore dataset index: {}'.format(dataset.id))
-            try:
-                model_manager = ModelManager()
-
-                embedding_model = model_manager.get_model_instance(
-                    tenant_id=dataset.tenant_id,
-                    provider=dataset.embedding_model_provider,
-                    model_type=ModelType.TEXT_EMBEDDING,
-                    model=dataset.embedding_model
-
-                )
-            except Exception:
-                pass
-            embeddings = CacheEmbedding(embedding_model)
-            dataset_collection_binding = db.session.query(DatasetCollectionBinding). \
-                filter(DatasetCollectionBinding.provider_name == embedding_model.model_provider.provider_name,
-                       DatasetCollectionBinding.model_name == embedding_model.name). \
-                order_by(DatasetCollectionBinding.created_at). \
-                first()
-
-            if not dataset_collection_binding:
-                dataset_collection_binding = DatasetCollectionBinding(
-                    provider_name=embedding_model.model_provider.provider_name,
-                    model_name=embedding_model.name,
-                    collection_name="Vector_index_" + str(uuid.uuid4()).replace("-", "_") + '_Node'
-                )
-                db.session.add(dataset_collection_binding)
-                db.session.commit()
-
-            from core.index.vector_index.qdrant_vector_index import QdrantConfig, QdrantVectorIndex
-
-            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.delete_by_group_id(dataset.id)
-                index.restore_dataset_in_one(dataset, dataset_collection_binding)
-            else:
-                click.echo('passed.')
-            normalization_count.append(1)
-        except Exception as e:
-            click.echo(
-                click.style('Create dataset index error: {} {}'.format(e.__class__.__name__, str(e)),
-                            fg='red'))
-
-
-@click.command('update_app_model_configs', help='Migrate data to support paragraph variable.')
-@click.option("--batch-size", default=500, help="Number of records to migrate in each batch.")
-def update_app_model_configs(batch_size):
-    pre_prompt_template = '{{default_input}}'
-
-    click.secho("Start migrate old data that the text generator can support paragraph variable.", fg='green')
-
-    total_records = db.session.query(AppModelConfig) \
-        .join(App, App.app_model_config_id == AppModelConfig.id) \
-        .filter(App.mode == 'completion') \
-        .count()
-
-    if total_records == 0:
-        click.secho("No data to migrate.", fg='green')
-        return
-
-    num_batches = (total_records + batch_size - 1) // batch_size
-
-    with tqdm(total=total_records, desc="Migrating Data") as pbar:
-        for i in range(num_batches):
-            offset = i * batch_size
-            limit = min(batch_size, total_records - offset)
-
-            click.secho(f"Fetching batch {i + 1}/{num_batches} from source database...", fg='green')
-
-            data_batch = db.session.query(AppModelConfig) \
-                .join(App, App.app_model_config_id == AppModelConfig.id) \
-                .filter(App.mode == 'completion') \
-                .order_by(App.created_at) \
-                .offset(offset).limit(limit).all()
-
-            if not data_batch:
-                click.secho("No more data to migrate.", fg='green')
-                break
-
-            try:
-                click.secho(f"Migrating {len(data_batch)} records...", fg='green')
-                for data in data_batch:
-                    # click.secho(f"Migrating data {data.id}, pre_prompt: {data.pre_prompt}, user_input_form: {data.user_input_form}", fg='green')
-
-                    if data.pre_prompt is None:
-                        data.pre_prompt = pre_prompt_template
-                    else:
-                        if pre_prompt_template in data.pre_prompt:
-                            continue
-                        data.pre_prompt += pre_prompt_template
-
-                    app_data = db.session.query(App) \
-                        .filter(App.id == data.app_id) \
-                        .one()
-
-                    account_data = db.session.query(Account) \
-                        .join(TenantAccountJoin, Account.id == TenantAccountJoin.account_id) \
-                        .filter(TenantAccountJoin.role == 'owner') \
-                        .filter(TenantAccountJoin.tenant_id == app_data.tenant_id) \
-                        .one_or_none()
-
-                    if not account_data:
-                        continue
-
-                    if data.user_input_form is None or data.user_input_form == 'null':
-                        data.user_input_form = json.dumps(user_input_form_template[account_data.interface_language])
-                    else:
-                        raw_json_data = json.loads(data.user_input_form)
-                        raw_json_data.append(user_input_form_template[account_data.interface_language][0])
-                        data.user_input_form = json.dumps(raw_json_data)
-
-                    # click.secho(f"Updated data {data.id}, pre_prompt: {data.pre_prompt}, user_input_form: {data.user_input_form}", fg='green')
-
-                db.session.commit()
-
-            except Exception as e:
-                click.secho(f"Error while migrating data: {e}, app_id: {data.app_id}, app_model_config_id: {data.id}",
-                            fg='red')
-                continue
-
-            click.secho(f"Successfully migrated batch {i + 1}/{num_batches}.", fg='green')
-
-            pbar.update(len(data_batch))
-
-
-@click.command('migrate_default_input_to_dataset_query_variable')
-@click.option("--batch-size", default=500, help="Number of records to migrate in each batch.")
-def migrate_default_input_to_dataset_query_variable(batch_size):
-    click.secho("Starting...", fg='green')
-
-    total_records = db.session.query(AppModelConfig) \
-        .join(App, App.app_model_config_id == AppModelConfig.id) \
-        .filter(App.mode == 'completion') \
-        .filter(AppModelConfig.dataset_query_variable == None) \
-        .count()
-
-    if total_records == 0:
-        click.secho("No data to migrate.", fg='green')
-        return
-
-    num_batches = (total_records + batch_size - 1) // batch_size
-
-    with tqdm(total=total_records, desc="Migrating Data") as pbar:
-        for i in range(num_batches):
-            offset = i * batch_size
-            limit = min(batch_size, total_records - offset)
-
-            click.secho(f"Fetching batch {i + 1}/{num_batches} from source database...", fg='green')
-
-            data_batch = db.session.query(AppModelConfig) \
-                .join(App, App.app_model_config_id == AppModelConfig.id) \
-                .filter(App.mode == 'completion') \
-                .filter(AppModelConfig.dataset_query_variable == None) \
-                .order_by(App.created_at) \
-                .offset(offset).limit(limit).all()
-
-            if not data_batch:
-                click.secho("No more data to migrate.", fg='green')
-                break
-
-            try:
-                click.secho(f"Migrating {len(data_batch)} records...", fg='green')
-                for data in data_batch:
-                    config = AppModelConfig.to_dict(data)
-
-                    tools = config["agent_mode"]["tools"]
-                    dataset_exists = "dataset" in str(tools)
-                    if not dataset_exists:
-                        continue
-
-                    user_input_form = config.get("user_input_form", [])
-                    for form in user_input_form:
-                        paragraph = form.get('paragraph')
-                        if paragraph \
-                                and paragraph.get('variable') == 'query':
-                            data.dataset_query_variable = 'query'
-                            break
-
-                        if paragraph \
-                                and paragraph.get('variable') == 'default_input':
-                            data.dataset_query_variable = 'default_input'
-                            break
-
-                db.session.commit()
-
-            except Exception as e:
-                click.secho(f"Error while migrating data: {e}, app_id: {data.app_id}, app_model_config_id: {data.id}",
-                            fg='red')
-                continue
-
-            click.secho(f"Successfully migrated batch {i + 1}/{num_batches}.", fg='green')
-
-            pbar.update(len(data_batch))
-
-
-@click.command('add-annotation-question-field-value', help='add annotation question value')
-def add_annotation_question_field_value():
-    click.echo(click.style('Start add annotation question value.', fg='green'))
-    message_annotations = db.session.query(MessageAnnotation).all()
-    message_annotation_deal_count = 0
-    if message_annotations:
-        for message_annotation in message_annotations:
-            try:
-                if message_annotation.message_id and not message_annotation.question:
-                    message = db.session.query(Message).filter(
-                        Message.id == message_annotation.message_id
-                    ).first()
-                    message_annotation.question = message.query
-                    db.session.add(message_annotation)
-                    db.session.commit()
-                    message_annotation_deal_count += 1
-            except Exception as e:
-                click.echo(
-                    click.style('Add annotation question value error: {} {}'.format(e.__class__.__name__, str(e)),
-                                fg='red'))
-            click.echo(
-                click.style(f'Congratulations! add annotation question value successful. Deal count {message_annotation_deal_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)
-    app.cli.add_command(update_app_model_configs)
-    app.cli.add_command(normalization_collections)
-    app.cli.add_command(migrate_default_input_to_dataset_query_variable)
-    app.cli.add_command(add_qdrant_full_text_index)
-    app.cli.add_command(add_annotation_question_field_value)