langgenius / dify

Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting you quickly go from prototype to production.
https://dify.ai
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server error sometimes #5639

Open NiuBlibing opened 2 days ago

NiuBlibing commented 2 days ago

Self Checks

Dify version

0.6.11

Cloud or Self Hosted

Self Hosted (Docker)

Steps to reproduce

I'm using dify with postgresql-ha(bitnami chart) and milvus.

  1. Create a text generation workflow.
  2. input some message and click generate.

✔️ Expected Behavior

No error and with correct response.

❌ Actual Behavior

It sometimes failed: image Logs:

2024-06-26 09:53:13.473 ERROR [Dummy-18] [base_app_generate_response_converter.py:128] - (psycopg2.OperationalError) server closed the connection unexpectedly
This probably means the server terminated abnormally
before or while processing the request.

[SQL: SELECT messages.id AS messages_id, messages.app_id AS messages_app_id, messages.model_provider AS messages_model_provider, messages.model_id AS messages_model_id, messages.override_model_configs AS messages_override_model_configs, messages.conversation_id AS messages_conversation_id, messages.inputs AS messages_inputs, messages.query AS messages_query, messages.message AS messages_message, messages.message_tokens AS messages_message_tokens, messages.message_unit_price AS messages_message_unit_price, messages.message_price_unit AS messages_message_price_unit, messages.answer AS messages_answer, messages.answer_tokens AS messages_answer_tokens, messages.answer_unit_price AS messages_answer_unit_price, messages.answer_price_unit AS messages_answer_price_unit, messages.provider_response_latency AS messages_provider_response_latency, messages.total_price AS messages_total_price, messages.currency AS messages_currency, messages.status AS messages_status, messages.error AS messages_error, messages.message_metadata AS messages_message_metadata, messages.invoke_from AS messages_invoke_from, messages.from_source AS messages_from_source, messages.from_end_user_id AS messages_from_end_user_id, messages.from_account_id AS messages_from_account_id, messages.created_at AS messages_created_at, messages.updated_at AS messages_updated_at, messages.agent_based AS messages_agent_based, messages.workflow_run_id AS messages_workflow_run_id
FROM messages
WHERE messages.id = %(id_1)s::UUID
LIMIT %(param_1)s]
[parameters: {'id_1': 'a3cfcf17-3a26-4766-b1db-197af9ca3515', 'param_1': 1}]
(Background on this error at: https://sqlalche.me/e/20/e3q8)
2024-06-26 10:00:29.163 ERROR [Dummy-27] [app.py:838] - Exception on /console/api/apps/15b513f9-139c-4a17-9792-77ea9833cd18/completion-messages [POST]
Traceback (most recent call last):
File "/usr/local/lib/python3.10/site-packages/sqlalchemy/engine/base.py", line 1967, in _exec_single_context
self.dialect.do_execute(
File "/usr/local/lib/python3.10/site-packages/sqlalchemy/engine/default.py", line 924, in do_execute
cursor.execute(statement, parameters)
psycopg2.OperationalError: server closed the connection unexpectedly
This probably means the server terminated abnormally
before or while processing the request.

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
File "/usr/local/lib/python3.10/site-packages/flask/app.py", line 880, in full_dispatch_request
rv = self.dispatch_request()
File "/usr/local/lib/python3.10/site-packages/flask/app.py", line 865, in dispatch_request
return self.ensure_sync(self.view_functions[rule.endpoint])(**view_args) # type: ignore[no-any-return]
File "/usr/local/lib/python3.10/site-packages/flask_restful/__init__.py", line 489, in wrapper
resp = resource(*args, **kwargs)
File "/usr/local/lib/python3.10/site-packages/flask/views.py", line 110, in view
return current_app.ensure_sync(self.dispatch_request)(**kwargs) # type: ignore[no-any-return]
File "/usr/local/lib/python3.10/site-packages/flask_restful/__init__.py", line 604, in dispatch_request
resp = meth(*args, **kwargs)
File "/app/api/controllers/console/setup.py", line 83, in decorated
elif not get_setup_status():
File "/app/api/controllers/console/setup.py", line 93, in get_setup_status
return DifySetup.query.first()
File "/usr/local/lib/python3.10/site-packages/sqlalchemy/orm/query.py", line 2728, in first
return self.limit(1)._iter().first() # type: ignore
File "/usr/local/lib/python3.10/site-packages/sqlalchemy/orm/query.py", line 2827, in _iter
result: Union[ScalarResult[_T], Result[_T]] = self.session.execute(
File "/usr/local/lib/python3.10/site-packages/sqlalchemy/orm/session.py", line 2351, in execute
return self._execute_internal(
File "/usr/local/lib/python3.10/site-packages/sqlalchemy/orm/session.py", line 2236, in _execute_internal
result: Result[Any] = compile_state_cls.orm_execute_statement(
File "/usr/local/lib/python3.10/site-packages/sqlalchemy/orm/context.py", line 293, in orm_execute_statement
result = conn.execute(
File "/usr/local/lib/python3.10/site-packages/sqlalchemy/engine/base.py", line 1418, in execute
return meth(
File "/usr/local/lib/python3.10/site-packages/sqlalchemy/sql/elements.py", line 515, in _execute_on_connection
return connection._execute_clauseelement(
File "/usr/local/lib/python3.10/site-packages/sqlalchemy/engine/base.py", line 1640, in _execute_clauseelement
ret = self._execute_context(
File "/usr/local/lib/python3.10/site-packages/sqlalchemy/engine/base.py", line 1846, in _execute_context
return self._exec_single_context(
File "/usr/local/lib/python3.10/site-packages/sqlalchemy/engine/base.py", line 1986, in _exec_single_context
self._handle_dbapi_exception(
File "/usr/local/lib/python3.10/site-packages/sqlalchemy/engine/base.py", line 2353, in _handle_dbapi_exception
raise sqlalchemy_exception.with_traceback(exc_info[2]) from e
File "/usr/local/lib/python3.10/site-packages/sqlalchemy/engine/base.py", line 1967, in _exec_single_context
self.dialect.do_execute(
File "/usr/local/lib/python3.10/site-packages/sqlalchemy/engine/default.py", line 924, in do_execute
cursor.execute(statement, parameters)
sqlalchemy.exc.OperationalError: (psycopg2.OperationalError) server closed the connection unexpectedly
This probably means the server terminated abnormally
before or while processing the request.

[SQL: SELECT dify_setups.version AS dify_setups_version, dify_setups.setup_at AS dify_setups_setup_at
FROM dify_setups
LIMIT %(param_1)s]
[parameters: {'param_1': 1}]
(Background on this error at: https://sqlalche.me/e/20/e3q8)
2024-06-26 10:15:33.575 ERROR [Dummy-51] [app.py:838] - Exception on /api/completion-messages [POST]
Traceback (most recent call last):
File "/usr/local/lib/python3.10/site-packages/sqlalchemy/engine/base.py", line 1967, in _exec_single_context
self.dialect.do_execute(
File "/usr/local/lib/python3.10/site-packages/sqlalchemy/engine/default.py", line 924, in do_execute
cursor.execute(statement, parameters)
psycopg2.OperationalError: server closed the connection unexpectedly
This probably means the server terminated abnormally
before or while processing the request.

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
File "/usr/local/lib/python3.10/site-packages/flask/app.py", line 880, in full_dispatch_request
rv = self.dispatch_request()
File "/usr/local/lib/python3.10/site-packages/flask/app.py", line 865, in dispatch_request
return self.ensure_sync(self.view_functions[rule.endpoint])(**view_args) # type: ignore[no-any-return]
File "/usr/local/lib/python3.10/site-packages/flask_restful/__init__.py", line 489, in wrapper
resp = resource(*args, **kwargs)
File "/usr/local/lib/python3.10/site-packages/flask/views.py", line 110, in view
return current_app.ensure_sync(self.dispatch_request)(**kwargs) # type: ignore[no-any-return]
File "/usr/local/lib/python3.10/site-packages/flask_restful/__init__.py", line 604, in dispatch_request
resp = meth(*args, **kwargs)
File "/app/api/controllers/web/wraps.py", line 18, in decorated
app_model, end_user = decode_jwt_token()
File "/app/api/controllers/web/wraps.py", line 45, in decode_jwt_token
app_model = db.session.query(App).filter(App.id == decoded['app_id']).first()
File "/usr/local/lib/python3.10/site-packages/sqlalchemy/orm/query.py", line 2728, in first
return self.limit(1)._iter().first() # type: ignore
File "/usr/local/lib/python3.10/site-packages/sqlalchemy/orm/query.py", line 2827, in _iter
result: Union[ScalarResult[_T], Result[_T]] = self.session.execute(
File "/usr/local/lib/python3.10/site-packages/sqlalchemy/orm/session.py", line 2351, in execute
return self._execute_internal(
File "/usr/local/lib/python3.10/site-packages/sqlalchemy/orm/session.py", line 2236, in _execute_internal
result: Result[Any] = compile_state_cls.orm_execute_statement(
File "/usr/local/lib/python3.10/site-packages/sqlalchemy/orm/context.py", line 293, in orm_execute_statement
result = conn.execute(
File "/usr/local/lib/python3.10/site-packages/sqlalchemy/engine/base.py", line 1418, in execute
return meth(
File "/usr/local/lib/python3.10/site-packages/sqlalchemy/sql/elements.py", line 515, in _execute_on_connection
return connection._execute_clauseelement(
File "/usr/local/lib/python3.10/site-packages/sqlalchemy/engine/base.py", line 1640, in _execute_clauseelement
ret = self._execute_context(
File "/usr/local/lib/python3.10/site-packages/sqlalchemy/engine/base.py", line 1846, in _execute_context
return self._exec_single_context(
File "/usr/local/lib/python3.10/site-packages/sqlalchemy/engine/base.py", line 1986, in _exec_single_context
self._handle_dbapi_exception(
File "/usr/local/lib/python3.10/site-packages/sqlalchemy/engine/base.py", line 2353, in _handle_dbapi_exception
raise sqlalchemy_exception.with_traceback(exc_info[2]) from e
File "/usr/local/lib/python3.10/site-packages/sqlalchemy/engine/base.py", line 1967, in _exec_single_context
self.dialect.do_execute(
File "/usr/local/lib/python3.10/site-packages/sqlalchemy/engine/default.py", line 924, in do_execute
cursor.execute(statement, parameters)
sqlalchemy.exc.OperationalError: (psycopg2.OperationalError) server closed the connection unexpectedly
This probably means the server terminated abnormally
before or while processing the request.

[SQL: SELECT apps.id AS apps_id, apps.tenant_id AS apps_tenant_id, apps.name AS apps_name, apps.description AS apps_description, apps.mode AS apps_mode, apps.icon AS apps_icon, apps.icon_background AS apps_icon_background, apps.app_model_config_id AS apps_app_model_config_id, apps.workflow_id AS apps_workflow_id, apps.status AS apps_status, apps.enable_site AS apps_enable_site, apps.enable_api AS apps_enable_api, apps.api_rpm AS apps_api_rpm, apps.api_rph AS apps_api_rph, apps.is_demo AS apps_is_demo, apps.is_public AS apps_is_public, apps.is_universal AS apps_is_universal, apps.created_at AS apps_created_at, apps.updated_at AS apps_updated_at
FROM apps
WHERE apps.id = %(id_1)s::UUID
LIMIT %(param_1)s]
[parameters: {'id_1': '15b513f9-139c-4a17-9792-77ea9833cd18', 'param_1': 1}]
(Background on this error at: https://sqlalche.me/e/20/e3q8)
dosubot[bot] commented 2 days ago

To resolve the intermittent "Internal Server Error" messages caused by psycopg2.OperationalError in your self-hosted Dify version 0.6.11 setup using PostgreSQL-HA and Milvus, you can follow these steps:

  1. Check PostgreSQL Connection Settings: Ensure that the PostgreSQL connection settings in your docker-compose.yaml file are correct and consistent across all services that connect to the database. Verify the DB_HOST, DB_PORT, DB_USERNAME, DB_PASSWORD, and DB_DATABASE values.

  2. Increase PostgreSQL Connection Timeout: Sometimes, increasing the connection timeout can help mitigate intermittent connection issues. You can add the connect_timeout parameter to your PostgreSQL connection string.

  3. Enable PostgreSQL Health Checks: Ensure that the PostgreSQL service has proper health checks configured to restart the service if it becomes unresponsive.

  4. Check Resource Limits: Ensure that your PostgreSQL instance has sufficient resources (CPU, memory, disk I/O) to handle the load. You may need to adjust resource limits or scale your PostgreSQL-HA setup.

  5. Review Logs: Check the logs of your PostgreSQL and Dify services for any error messages or warnings that could provide more insight into the cause of the psycopg2.OperationalError.

Here is an example of how you can adjust the PostgreSQL connection settings in your docker-compose.yaml file:

services:
  api:
    image: langgenius/dify-api:0.6.11
    restart: always
    environment:
      MODE: api
      LOG_LEVEL: INFO
      SECRET_KEY: sk-9f73s3ljTXVcMT3Blb3ljTqtsKiGHXVcMT3BlbkFJLK7U
      DB_USERNAME: postgres
      DB_PASSWORD: difyai123456
      DB_HOST: db
      DB_PORT: 5432
      DB_DATABASE: dify
      # Add connect_timeout parameter
      DB_OPTIONS: "-c connect_timeout=10"
    depends_on:
      db:
        condition: service_healthy

  db:
    image: postgres:15-alpine
    restart: always
    environment:
      PGUSER: postgres
      POSTGRES_PASSWORD: difyai123456
      POSTGRES_DB: dify
      PGDATA: /var/lib/postgresql/data/pgdata
    volumes:
      - ./volumes/db/data:/var/lib/postgresql/data
    healthcheck:
      test: [ "CMD", "pg_isready" ]
      interval: 1s
      timeout: 3s
      retries: 30

By adding the DB_OPTIONS environment variable with the connect_timeout parameter, you can increase the timeout for establishing a connection to the PostgreSQL database. This can help reduce the frequency of psycopg2.OperationalError due to connection timeouts.

Additionally, ensure that your Docker setup meets the recommended resource requirements. For example, on macOS, Docker Desktop should be configured to use at least 2 virtual CPUs and 8 GB of initial memory. This can help prevent resource-related issues that might contribute to the errors [1][2].

To continue talking to Dosu, mention @dosu.

pftom commented 2 days ago

@dosu local source run server not stable, temp can visit and ERR_EMPTY_RESPONSE

NiuBlibing commented 1 day ago

To resolve the intermittent "Internal Server Error" messages caused by psycopg2.OperationalError in your self-hosted Dify version 0.6.11 setup using PostgreSQL-HA and Milvus, you can follow these steps:

  1. Check PostgreSQL Connection Settings: Ensure that the PostgreSQL connection settings in your docker-compose.yaml file are correct and consistent across all services that connect to the database. Verify the DB_HOST, DB_PORT, DB_USERNAME, DB_PASSWORD, and DB_DATABASE values.
  2. Increase PostgreSQL Connection Timeout: Sometimes, increasing the connection timeout can help mitigate intermittent connection issues. You can add the connect_timeout parameter to your PostgreSQL connection string.
  3. Enable PostgreSQL Health Checks: Ensure that the PostgreSQL service has proper health checks configured to restart the service if it becomes unresponsive.
  4. Check Resource Limits: Ensure that your PostgreSQL instance has sufficient resources (CPU, memory, disk I/O) to handle the load. You may need to adjust resource limits or scale your PostgreSQL-HA setup.
  5. Review Logs: Check the logs of your PostgreSQL and Dify services for any error messages or warnings that could provide more insight into the cause of the psycopg2.OperationalError.

Here is an example of how you can adjust the PostgreSQL connection settings in your docker-compose.yaml file:

services:
  api:
    image: langgenius/dify-api:0.6.11
    restart: always
    environment:
      MODE: api
      LOG_LEVEL: INFO
      SECRET_KEY: sk-9f73s3ljTXVcMT3Blb3ljTqtsKiGHXVcMT3BlbkFJLK7U
      DB_USERNAME: postgres
      DB_PASSWORD: difyai123456
      DB_HOST: db
      DB_PORT: 5432
      DB_DATABASE: dify
      # Add connect_timeout parameter
      DB_OPTIONS: "-c connect_timeout=10"
    depends_on:
      db:
        condition: service_healthy

  db:
    image: postgres:15-alpine
    restart: always
    environment:
      PGUSER: postgres
      POSTGRES_PASSWORD: difyai123456
      POSTGRES_DB: dify
      PGDATA: /var/lib/postgresql/data/pgdata
    volumes:
      - ./volumes/db/data:/var/lib/postgresql/data
    healthcheck:
      test: [ "CMD", "pg_isready" ]
      interval: 1s
      timeout: 3s
      retries: 30

By adding the DB_OPTIONS environment variable with the connect_timeout parameter, you can increase the timeout for establishing a connection to the PostgreSQL database. This can help reduce the frequency of psycopg2.OperationalError due to connection timeouts.

Additionally, ensure that your Docker setup meets the recommended resource requirements. For example, on macOS, Docker Desktop should be configured to use at least 2 virtual CPUs and 8 GB of initial memory. This can help prevent resource-related issues that might contribute to the errors [1][2].

To continue talking to Dosu, mention @dosu.

@dosu._ I didn't find a DB_OPTIONS in dify project and it's not work for me.

dosubot[bot] commented 1 day ago

To resolve the intermittent "Internal Server Error" messages caused by psycopg2.OperationalError in your self-hosted Dify setup, you can follow these steps:

  1. Check PostgreSQL Connection Settings: Ensure that the PostgreSQL connection settings in your docker-compose.yaml file are correct and consistent across all services that connect to the database. Verify the DB_HOST, DB_PORT, DB_USERNAME, DB_PASSWORD, and DB_DATABASE values.

  2. Increase PostgreSQL Connection Timeout: Add the connect_timeout parameter directly to your PostgreSQL connection string in the DATABASE_URL environment variable.

  3. Enable PostgreSQL Health Checks: Ensure that the PostgreSQL service has proper health checks configured to restart the service if it becomes unresponsive.

  4. Check Resource Limits: Ensure that your PostgreSQL instance has sufficient resources (CPU, memory, disk I/O) to handle the load. You may need to adjust resource limits or scale your PostgreSQL-HA setup.

  5. Review Logs: Check the logs of your PostgreSQL and Dify services for any error messages or warnings that could provide more insight into the cause of the psycopg2.OperationalError.

Here is an example of how you can adjust the PostgreSQL connection settings in your docker-compose.yaml file:

services:
  api:
    image: langgenius/dify-api:0.6.11
    restart: always
    environment:
      MODE: api
      LOG_LEVEL: INFO
      SECRET_KEY: sk-9f73s3ljTXVcMT3Blb3ljTqtsKiGHXVcMT3BlbkFJLK7U
      DB_USERNAME: postgres
      DB_PASSWORD: difyai123456
      DB_HOST: db
      DB_PORT: 5432
      DB_DATABASE: dify
      # Add connect_timeout parameter to PostgreSQL connection string
      DATABASE_URL: postgres://postgres:difyai123456@db:5432/dify?connect_timeout=10
    depends_on:
      db:
        condition: service_healthy

  db:
    image: postgres:15-alpine
    restart: always
    environment:
      PGUSER: postgres
      POSTGRES_PASSWORD: difyai123456
      POSTGRES_DB: dify
      PGDATA: /var/lib/postgresql/data/pgdata
    volumes:
      - ./volumes/db/data:/var/lib/postgresql/data
    healthcheck:
      test: [ "CMD", "pg_isready" ]
      interval: 1s
      timeout: 3s
      retries: 30

By adding the connect_timeout parameter to the DATABASE_URL, you can increase the timeout for establishing a connection to the PostgreSQL database, which can help reduce the frequency of psycopg2.OperationalError due to connection timeouts [1][2].

To continue talking to Dosu, mention @dosu.