Merge branch 'aws-cdk' into aws-cdk-dev2
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fb817dd09e
5 changed files with 50 additions and 52 deletions
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@ -1,8 +1,9 @@
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# Deploy Langflow on AWS
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**Duraration**: 30 minutes
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**Duration**: 30 minutes
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## Introduction
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In this tutorial, you will learn how to deploy langflow on AWS using [AWS Cloud Development Kit](https://aws.amazon.com/cdk/?nc2=type_a) (CDK).
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This tutorial assumes you have an AWS account and basic knowledge of AWS.
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@ -15,15 +16,16 @@ The Fargate task is divided into a frontend and a backend, which communicate thr
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If you just want to deploy resources, you do not need in-depth knowledge of each of the above services.
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# How to set up your environment and deploy langflow
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1. Open [AWS CloudShell](https://us-east-1.console.aws.amazon.com/cloudshell/home?region=us-east-1).
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1. Run the following commands in Cloudshell:
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```shell
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git clone https://github.com/aws-samples/cloud9-setup-for-prototyping
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cd cloud9-setup-for-prototyping
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./bin/bootstrap
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```
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```shell
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git clone https://github.com/aws-samples/cloud9-setup-for-prototyping
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cd cloud9-setup-for-prototyping
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./bin/bootstrap
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```
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1. When you see `Done!` in Cloudshell, open `cloud9-for-prototyping` from [AWS Cloud9](https://us-east-1.console.aws.amazon.com/cloud9control/home?region=us-east-1#/).
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1. Run the following command in the Cloud9 terminal.
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```shell
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git clone -b aws-cdk https://github.com/logspace-ai/langflow.git
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@ -34,17 +36,18 @@ If you just want to deploy resources, you do not need in-depth knowledge of each
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cdk deploy
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```
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1. Access the URL displayed.
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```shell
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Outputs:
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LangflowAppStack.NetworkURLXXXXXX = http://alb-XXXXXXXXXXX.elb.amazonaws.com
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```
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```shell
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Outputs:
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LangflowAppStack.NetworkURLXXXXXX = http://alb-XXXXXXXXXXX.elb.amazonaws.com
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```
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1. Enter your user name and password to sign in. If you have not set a user name and password in your `.env` file, the user name will be set to `admin` and the password to `123456`.
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# Cleanup
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1. Run the following command in the Cloud9 terminal.
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```shell
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bash delete-resources.sh
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```
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```shell
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bash delete-resources.sh
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```
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1. Open [AWS CloudFormation](https://us-east-1.console.aws.amazon.com/cloudformation/home?region=us-east-1#/getting-started), select `aws-cloud9-cloud9-for-prototyping-XXXX` and delete it.
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@ -63,7 +63,7 @@ version_path_separator = os # Use os.pathsep. Default configuration used for ne
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# This is the path to the db in the root of the project.
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# When the user runs the Langflow the database url will
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# be set dinamically.
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# sqlalchemy.url = sqlite:///../../../langflow.db
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sqlalchemy.url = sqlite:///../../../langflow.db
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[post_write_hooks]
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@ -1,15 +1,15 @@
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import contextlib
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import json
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import orjson
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import os
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from shutil import copy2
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from typing import Optional, List
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from pathlib import Path
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from shutil import copy2
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from typing import List, Optional
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import orjson
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import yaml
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from loguru import logger
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from pydantic import field_validator, validator
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from pydantic_settings import BaseSettings, SettingsConfigDict
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from loguru import logger
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# BASE_COMPONENTS_PATH = str(Path(__file__).parent / "components")
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BASE_COMPONENTS_PATH = str(Path(__file__).parent.parent.parent / "components")
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@ -86,31 +86,29 @@ class Settings(BaseSettings):
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value = langflow_database_url
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logger.debug("Using LANGFLOW_DATABASE_URL env variable.")
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else:
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# logger.debug("No DATABASE_URL env variable, using sqlite database")
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logger.debug("No DATABASE_URL env variable, using custom database from secrets of {}".format(os.environ["host"]))
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logger.debug("No DATABASE_URL env variable, using sqlite database")
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# Originally, we used sqlite:///./langflow.db
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# so we need to migrate to the new format
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# if there is a database in that location
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# if not values["CONFIG_DIR"]:
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# raise ValueError(
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# "CONFIG_DIR not set, please set it or provide a DATABASE_URL"
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# )
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if not values["CONFIG_DIR"]:
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raise ValueError(
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"CONFIG_DIR not set, please set it or provide a DATABASE_URL"
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)
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# new_path = f"{values['CONFIG_DIR']}/langflow.db"
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# if Path("./langflow.db").exists():
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# if Path(new_path).exists():
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# logger.debug(f"Database already exists at {new_path}, using it")
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# else:
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# try:
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# logger.debug("Copying existing database to new location")
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# copy2("./langflow.db", new_path)
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# logger.debug(f"Copied existing database to {new_path}")
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# except Exception:
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# logger.error("Failed to copy database, using default path")
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# new_path = "./langflow.db"
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new_path = f"{values['CONFIG_DIR']}/langflow.db"
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if Path("./langflow.db").exists():
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if Path(new_path).exists():
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logger.debug(f"Database already exists at {new_path}, using it")
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else:
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try:
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logger.debug("Copying existing database to new location")
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copy2("./langflow.db", new_path)
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logger.debug(f"Copied existing database to {new_path}")
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except Exception:
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logger.error("Failed to copy database, using default path")
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new_path = "./langflow.db"
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# value = f"sqlite:///{new_path}"
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value = "mysql+pymysql://{}:{}@{}:3306/{}".format(os.environ["username"],os.environ["password"],os.environ["host"],os.environ["dbname"])
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value = f"sqlite:///{new_path}"
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return value
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@ -1,13 +1,13 @@
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import contextlib
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import json
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import os
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from typing import Optional, List
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from pathlib import Path
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from typing import List, Optional
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import yaml
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from pydantic import validator, model_validator
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from pydantic_settings import BaseSettings
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from langflow.utils.logger import logger
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from pydantic import model_validator, validator
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from pydantic_settings import BaseSettings
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BASE_COMPONENTS_PATH = str(Path(__file__).parent / "components")
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value = langflow_database_url
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logger.debug("Using LANGFLOW_DATABASE_URL env variable.")
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else:
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# logger.debug("No DATABASE_URL env variable, using sqlite database")
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logger.debug("No DATABASE_URL env variable, using custom database from secrets of {}".format(os.environ["host"]))
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# value = "sqlite:///./langflow.db"
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value = "mysql+pymysql://{}:{}@{}:3306/{}".format(os.environ["username"],os.environ["password"],os.environ["host"],os.environ["dbname"])
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logger.debug("No DATABASE_URL env variable, using sqlite database")
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value = "sqlite:///./langflow.db"
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return value
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@validator("COMPONENTS_PATH", pre=True)
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if os.getenv("LANGFLOW_COMPONENTS_PATH"):
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logger.debug("Adding LANGFLOW_COMPONENTS_PATH to components_path")
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langflow_component_path = os.getenv("LANGFLOW_COMPONENTS_PATH")
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if (
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if langflow_component_path and (
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Path(langflow_component_path).exists()
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and langflow_component_path not in value
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):
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const isSecureProtocol =
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window.location.protocol === "https:" || window.location.port === "443";
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const webSocketProtocol = isSecureProtocol ? "wss" : "ws";
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// const host = isDevelopment ? "localhost:7860" : window.location.host;
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const host = window.location.host;
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const host = isDevelopment ? "localhost:7860" : window.location.host;
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const chatEndpoint = `/api/v1/chat/${chatId}`;
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return `${
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