diff --git a/GCP_DEPLOYMENT.md b/GCP_DEPLOYMENT.md new file mode 100644 index 000000000..edb7e043c --- /dev/null +++ b/GCP_DEPLOYMENT.md @@ -0,0 +1,28 @@ +# Run Langflow from a New Google Cloud Project + +This guide will help you set up a Langflow development VM in a Google Cloud Platform project using Google Cloud Shell. + +> **Note**: When Cloud Shell opens, be sure to select **Trust repo**. Some `gcloud` commands might not run in an ephemeral Cloud Shell environment. + + +## Standard VM +[![Open in Cloud Shell](https://gstatic.com/cloudssh/images/open-btn.svg)](https://console.cloud.google.com/cloudshell/open?git_repo=https://github.com/genome21/langflow&working_dir=scripts&shellonly=true&tutorial=walkthroughtutorial.md) + +This script sets up a Debian-based VM with the Langflow package, Nginx, and the necessary configurations to run the Langflow Dev environment. +
+ +## Spot/Preemptible Instance + +[![Open in Cloud Shell - Spot Instance](https://gstatic.com/cloudssh/images/open-btn.svg)](https://console.cloud.google.com/cloudshell/open?git_repo=https://github.com/genome21/langflow&working_dir=scripts&shellonly=true&tutorial=walkthroughtutorial.md) + +When running as a [spot (preemptible) instance](https://cloud.google.com/compute/docs/instances/preemptible), the code and VM will behave the same way as in a regular instance, executing the startup script to configure the environment, install necessary dependencies, and run the Langflow application. However, **due to the nature of spot instances, the VM may be terminated at any time if Google Cloud needs to reclaim the resources**. This makes spot instances suitable for fault-tolerant, stateless, or interruptible workloads that can handle unexpected terminations and restarts. + +## Pricing (approximate) +> For a more accurate breakdown of costs, please use the [**GCP Pricing Calculator**](https://cloud.google.com/products/calculator) +
+ +| Component | Regular Cost (Hourly) | Regular Cost (Monthly) | Spot/Preemptible Cost (Hourly) | Spot/Preemptible Cost (Monthly) | Notes | +| -------------- | --------------------- | ---------------------- | ------------------------------ | ------------------------------- | ----- | +| 100 GB Disk | - | $10/month | - | $10/month | Disk cost remains the same for both regular and Spot/Preemptible VMs | +| VM (n1-standard-4) | $0.15/hr | ~$108/month | ~$0.04/hr | ~$29/month | The VM cost can be significantly reduced using a Spot/Preemptible instance | +| **Total** | **$0.15/hr** | **~$118/month** | **~$0.04/hr** | **~$39/month** | Total costs for running the VM and disk 24/7 for an entire month | diff --git a/README.md b/README.md index 970496349..9b0a0cb3a 100644 --- a/README.md +++ b/README.md @@ -5,6 +5,7 @@ ~ A User Interface For [LangChain](https://github.com/hwchase17/langchain) ~

+HuggingFace Spaces GitHub Contributors GitHub Last Commit @@ -19,14 +20,31 @@ LangFlow is a GUI for [LangChain](https://github.com/hwchase17/langchain), designed with [react-flow](https://github.com/wbkd/react-flow) to provide an effortless way to experiment and prototype flows with drag-and-drop components and a chat box. ## 📦 Installation - +### Locally You can install LangFlow from pip: -`pip install langflow` +```shell +pip install langflow +``` Next, run: -`langflow` +```shell +python -m langflow +``` +or +```shell +langflow +``` + +### Deploy Langflow on Google Cloud Platform + +Follow our step-by-step guide to deploy Langflow on Google Cloud Platform (GCP) using Google Cloud Shell. The guide is available in the [**Langflow in Google Cloud Platform**](GCP_DEPLOYMENT.md) document. + +Alternatively, click the **"Open in Cloud Shell"** button below to launch Google Cloud Shell, clone the Langflow repository, and start an **interactive tutorial** that will guide you through the process of setting up the necessary resources and deploying Langflow on your GCP project. + +[![Open in Cloud Shell](https://gstatic.com/cloudssh/images/open-btn.svg)](https://console.cloud.google.com/cloudshell/open?git_repo=https://github.com/genome21/langflow&working_dir=scripts&shellonly=true&tutorial=walkthroughtutorial_spot.md) + ## 🎨 Creating Flows diff --git a/poetry.lock b/poetry.lock index a8f79be05..b7c790889 100644 --- a/poetry.lock +++ b/poetry.lock @@ -926,19 +926,19 @@ test = ["anyio[trio] (>=3.2.1,<4.0.0)", "black (==22.10.0)", "coverage[toml] (>= [[package]] name = "filelock" -version = "3.11.0" +version = "3.12.0" description = "A platform independent file lock." category = 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"f0a23552d8cbd3d38722a69698cf823cdd19a90b707538837da64a933f8d13b4" diff --git a/pyproject.toml b/pyproject.toml index f6086584e..eee7e9529 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "langflow" -version = "0.0.57" +version = "0.0.58" description = "A Python package with a built-in web application" authors = ["Logspace "] maintainers = [ @@ -46,6 +46,7 @@ pysrt = "^1.1.2" fake-useragent = "^1.1.3" docstring-parser = "^0.15" psycopg2-binary = "^2.9.6" +pyarrow = "^11.0.0" [tool.poetry.group.dev.dependencies] black = "^23.1.0" diff --git a/scripts/deploy_langflow_gcp.sh b/scripts/deploy_langflow_gcp.sh new file mode 100644 index 000000000..2c3dc0420 --- /dev/null +++ b/scripts/deploy_langflow_gcp.sh @@ -0,0 +1,89 @@ +# Set the VM, image, and networking configuration +VM_NAME="langflow-dev" +IMAGE_FAMILY="debian-11" +IMAGE_PROJECT="debian-cloud" +BOOT_DISK_SIZE="100GB" +ZONE="us-central1-a" +REGION="us-central1" +VPC_NAME="default" +SUBNET_NAME="default" +SUBNET_RANGE="10.128.0.0/20" +NAT_GATEWAY_NAME="nat-gateway" +CLOUD_ROUTER_NAME="nat-client" + +# Set the GCP project's compute region +gcloud config set compute/region $REGION + +# Check if the VPC exists, and create it if not +vpc_exists=$(gcloud compute networks list --filter="name=$VPC_NAME" --format="value(name)") +if [[ -z "$vpc_exists" ]]; then + gcloud compute networks create $VPC_NAME --subnet-mode=custom +fi + +# Check if the subnet exists, and create it if not +subnet_exists=$(gcloud compute networks subnets list --filter="name=$SUBNET_NAME AND region=$REGION" --format="value(name)") +if [[ -z "$subnet_exists" ]]; then + gcloud compute networks subnets create $SUBNET_NAME --network=$VPC_NAME --region=$REGION --range=$SUBNET_RANGE +fi + +# Create a firewall rule to allow TCP port 8080 for all instances in the VPC +firewall_8080_exists=$(gcloud compute firewall-rules list --filter="name=allow-tcp-8080" --format="value(name)") +if [[ -z "$firewall_8080_exists" ]]; then + gcloud compute firewall-rules create allow-tcp-8080 --network $VPC_NAME --allow tcp:8080 --source-ranges 0.0.0.0/0 --direction INGRESS +fi + +# Create a firewall rule to allow IAP traffic +firewall_iap_exists=$(gcloud compute firewall-rules list --filter="name=allow-iap" --format="value(name)") +if [[ -z "$firewall_iap_exists" ]]; then + gcloud compute firewall-rules create allow-iap --network $VPC_NAME --allow tcp:80,tcp:443 --source-ranges 35.235.240.0/20 --direction INGRESS +fi + +# Define the startup script as a multiline Bash here-doc +STARTUP_SCRIPT=$(cat <<'EOF' +#!/bin/bash + +# Update and upgrade the system +apt -y update +apt -y upgrade + +# Install Python 3 pip, Langflow, and Nginx +apt -y install python3-pip +pip install langflow +apt-get -y install nginx + +# Configure Nginx for Langflow +touch /etc/nginx/sites-available/langflow-app +echo "server { + listen 0.0.0.0:8080; + + location / { + proxy_pass http://127.0.0.1:7860; + proxy_set_header Host "\$host"; + proxy_set_header X-Real-IP "\$remote_addr"; + proxy_set_header X-Forwarded-For "\$proxy_add_x_forwarded_for"; + } +}" >> /etc/nginx/sites-available/langflow-app +ln -s /etc/nginx/sites-available/langflow-app /etc/nginx/sites-enabled/ +sudo nginx -t +sudo systemctl restart nginx +langflow +EOF +) + +# Create a temporary file to store the startup script +tempfile=$(mktemp) +echo "$STARTUP_SCRIPT" > $tempfile + +# Create the VM instance with the specified configuration and startup script +gcloud compute instances create $VM_NAME \ + --image-family $IMAGE_FAMILY \ + --image-project $IMAGE_PROJECT \ + --boot-disk-size $BOOT_DISK_SIZE \ + --machine-type=n1-standard-4 \ + --metadata-from-file startup-script=$tempfile \ + --zone $ZONE \ + --network $VPC_NAME \ + --subnet $SUBNET_NAME + +# Remove the temporary file after the VM is created +rm $tempfile diff --git a/scripts/deploy_langflow_gcp_spot.sh b/scripts/deploy_langflow_gcp_spot.sh new file mode 100644 index 000000000..065b6013f --- /dev/null +++ b/scripts/deploy_langflow_gcp_spot.sh @@ -0,0 +1,90 @@ +# Set the VM, image, and networking configuration +VM_NAME="langflow-dev" +IMAGE_FAMILY="debian-11" +IMAGE_PROJECT="debian-cloud" +BOOT_DISK_SIZE="100GB" +ZONE="us-central1-a" +REGION="us-central1" +VPC_NAME="default" +SUBNET_NAME="default" +SUBNET_RANGE="10.128.0.0/20" +NAT_GATEWAY_NAME="nat-gateway" +CLOUD_ROUTER_NAME="nat-client" + +# Set the GCP project's compute region +gcloud config set compute/region $REGION + +# Check if the VPC exists, and create it if not +vpc_exists=$(gcloud compute networks list --filter="name=$VPC_NAME" --format="value(name)") +if [[ -z "$vpc_exists" ]]; then + gcloud compute networks create $VPC_NAME --subnet-mode=custom +fi + +# Check if the subnet exists, and create it if not +subnet_exists=$(gcloud compute networks subnets list --filter="name=$SUBNET_NAME AND region=$REGION" --format="value(name)") +if [[ -z "$subnet_exists" ]]; then + gcloud compute networks subnets create $SUBNET_NAME --network=$VPC_NAME --region=$REGION --range=$SUBNET_RANGE +fi + +# Create a firewall rule to allow TCP port 8080 for all instances in the VPC +firewall_8080_exists=$(gcloud compute firewall-rules list --filter="name=allow-tcp-8080" --format="value(name)") +if [[ -z "$firewall_8080_exists" ]]; then + gcloud compute firewall-rules create allow-tcp-8080 --network $VPC_NAME --allow tcp:8080 --source-ranges 0.0.0.0/0 --direction INGRESS +fi + +# Create a firewall rule to allow IAP traffic +firewall_iap_exists=$(gcloud compute firewall-rules list --filter="name=allow-iap" --format="value(name)") +if [[ -z "$firewall_iap_exists" ]]; then + gcloud compute firewall-rules create allow-iap --network $VPC_NAME --allow tcp:80,tcp:443 --source-ranges 35.235.240.0/20 --direction INGRESS +fi + +# Define the startup script as a multiline Bash here-doc +STARTUP_SCRIPT=$(cat <<'EOF' +#!/bin/bash + +# Update and upgrade the system +apt -y update +apt -y upgrade + +# Install Python 3 pip, Langflow, and Nginx +apt -y install python3-pip +pip install langflow +apt-get -y install nginx + +# Configure Nginx for Langflow +touch /etc/nginx/sites-available/langflow-app +echo "server { + listen 0.0.0.0:8080; + + location / { + proxy_pass http://127.0.0.1:7860; + proxy_set_header Host "\$host"; + proxy_set_header X-Real-IP "\$remote_addr"; + proxy_set_header X-Forwarded-For "\$proxy_add_x_forwarded_for"; + } +}" >> /etc/nginx/sites-available/langflow-app +ln -s /etc/nginx/sites-available/langflow-app /etc/nginx/sites-enabled/ +sudo nginx -t +sudo systemctl restart nginx +langflow +EOF +) + +# Create a temporary file to store the startup script +tempfile=$(mktemp) +echo "$STARTUP_SCRIPT" > $tempfile + +# Create the VM instance with the specified configuration and startup script +gcloud compute instances create $VM_NAME \ + --image-family $IMAGE_FAMILY \ + --image-project $IMAGE_PROJECT \ + --boot-disk-size $BOOT_DISK_SIZE \ + --machine-type=n1-standard-4 \ + --metadata-from-file startup-script=$tempfile \ + --zone $ZONE \ + --network $VPC_NAME \ + --subnet $SUBNET_NAME \ + -preemptible + +# Remove the temporary file after the VM is created +rm $tempfile diff --git a/scripts/walkthroughtutorial.md b/scripts/walkthroughtutorial.md new file mode 100644 index 000000000..fa6e3c11d --- /dev/null +++ b/scripts/walkthroughtutorial.md @@ -0,0 +1,86 @@ +# Deploy Langflow on Google Cloud Platform + +**Duration**: 45 minutes +**Author**: [Robert Wilkins III](https://www.linkedin.com/in/robertwilkinsiii) + +## Introduction + +In this tutorial, you will learn how to deploy Langflow on [Google Cloud Platform](https://cloud.google.com/) (GCP) using Google Cloud Shell. + +This tutorial assumes you have a GCP account and basic knowledge of Google Cloud Shell. If you're not familiar with Cloud Shell, you can review the [Cloud Shell documentation](https://cloud.google.com/shell/docs). + +## Set up your environment + +Before you start, make sure you have the following prerequisites: + +- A GCP account with the necessary permissions to create resources +- A project on GCP where you want to deploy Langflow + +[**Select your GCP project**] + + + +In the next step, you'll configure the GCP environment and deploy Langflow. + +## Configure the GCP environment and deploy Langflow +Run the deploy_langflow_gcp.sh script to configure the GCP environment and deploy Langflow: + +```sh +gcloud config set project +bash ./deploy_langflow_gcp.sh +``` + +The script will: + +1. Check if the required resources (VPC, subnet, firewall rules, and Cloud Router) exist and create them if needed +2. Create a startup script to install Python, Langflow, and Nginx +3. Create a Compute Engine VM instance with the specified configuration and startup script +4. Configure Nginx to serve Langflow on TCP port 8080 + + +> The process may take approximately 30 minutes to complete. Rest assured that progress is being made, and you'll be able to proceed once the process is finished. + +In the next step, you'll learn how to connect to the Langflow VM. + +## Connect to the Langflow VM +To connect to your new Langflow VM, follow these steps: + +1. Navigate to the [VM instances](https://console.cloud.google.com/compute/instances) page and click on the external IP for your VM. Make sure to use HTTP and set the port to 8080 +
**or** +3. Run the following command to display the URL for your Langflow environment: +```bash +export LANGFLOW_IP=$(gcloud compute instances list --filter="NAME=langflow-dev" --format="value(EXTERNAL_IP)") + +echo http://$LANGFLOW_IP:8080 +``` + +4. Click on the Langflow URL in cloudshell to be greeted by the Langflow Dev environment + +Congratulations! You have successfully deployed Langflow on Google Cloud Platform. + + + +## Cleanup +If you want to remove the resources created during this tutorial, you can use the following commands: + +```sql +gcloud compute instances delete langflow-dev --zone us-central1-a --quiet +``` +The following network settings and services are used during this walkthrough. If you plan to continue using the project after the walkthrough, you may keep these configurations in place. + +However, if you decide to remove them after completing the walkthrough, you can use the following gcloud commands: + + +> These commands will delete the firewall rules and network configurations created during the walkthrough. Make sure to run them only if you no longer need these settings. + +``` +gcloud compute firewall-rules delete allow-tcp-8080 --quiet + +gcloud compute firewall-rules delete allow-iap --quiet + +gcloud compute networks subnets delete default --region us-central1 --quiet + +gcloud compute networks delete default --quiet +``` diff --git a/scripts/walkthroughtutorial_spot.md b/scripts/walkthroughtutorial_spot.md new file mode 100644 index 000000000..751f03d78 --- /dev/null +++ b/scripts/walkthroughtutorial_spot.md @@ -0,0 +1,83 @@ +# Deploy Langflow on Google Cloud Platform + +**Duration**: 45 minutes +**Author**: [Robert Wilkins III](https://www.linkedin.com/in/robertwilkinsiii) + +## Introduction + +In this tutorial, you will learn how to deploy Langflow on [Google Cloud Platform](https://cloud.google.com/) (GCP) using Google Cloud Shell. + +This tutorial assumes you have a GCP account and basic knowledge of Google Cloud Shell. If you're not familiar with Cloud Shell, you can review the [Cloud Shell documentation](https://cloud.google.com/shell/docs). + +## Set up your environment + +Before you start, make sure you have the following prerequisites: + +- A GCP account with the necessary permissions to create resources +- A project on GCP where you want to deploy Langflow + +[**Select your GCP project**] + + + +In the next step, you'll configure the GCP environment and deploy Langflow. + +## Configure the GCP environment and deploy Langflow +Run the deploy_langflow_gcp_spot.sh script to configure the GCP environment and deploy Langflow: + +```sh +gcloud config set project +bash ./deploy_langflow_gcp.sh +``` + +The script will: + +1. Check if the required resources (VPC, subnet, firewall rules, and Cloud Router) exist and create them if needed +2. Create a startup script to install Python, Langflow, and Nginx +3. Create a Compute Engine VM instance with the specified configuration and startup script +4. Configure Nginx to serve Langflow on TCP port 8080 + +> The process may take approximately 30 minutes to complete. Rest assured that progress is being made, and you'll be able to proceed once the process is finished. + +In the next step, you'll learn how to connect to the Langflow VM. + +## Connect to the Langflow VM +To connect to your new Langflow VM, follow these steps: + +1. Navigate to the [VM instances](https://console.cloud.google.com/compute/instances) page and click on the external IP for your VM. Make sure to use HTTP and set the port to 8080 +
**or** +3. Run the following command to display the URL for your Langflow environment: +```bash +export LANGFLOW_IP=$(gcloud compute instances list --filter="NAME=langflow-dev" --format="value(EXTERNAL_IP)") + +echo http://$LANGFLOW_IP:8080 +``` + +4. Click on the Langflow URL in cloudshell to be greeted by the Langflow Dev environment + +Congratulations! You have successfully deployed Langflow on Google Cloud Platform. + + + +## Cleanup +If you want to remove the resources created during this tutorial, you can use the following commands: + +```sql +gcloud compute instances delete langflow-dev --zone us-central1-a --quiet +``` +The following network settings and services are used during this walkthrough. If you plan to continue using the project after the walkthrough, you may keep these configurations in place. + +However, if you decide to remove them after completing the walkthrough, you can use the following gcloud commands: +> These commands will delete the firewall rules and network configurations created during the walkthrough. Make sure to run them only if you no longer need these settings. + +``` +gcloud compute firewall-rules delete allow-tcp-8080 --quiet + +gcloud compute firewall-rules delete allow-iap --quiet + +gcloud compute networks subnets delete default --region us-central1 --quiet + +gcloud compute networks delete default --quiet +``` diff --git a/src/backend/langflow/config.yaml b/src/backend/langflow/config.yaml index 7f00167b4..9236d5996 100644 --- a/src/backend/langflow/config.yaml +++ b/src/backend/langflow/config.yaml @@ -6,6 +6,7 @@ chains: - SeriesCharacterChain - MidJourneyPromptChain - TimeTravelGuideChain + - SQLDatabaseChain agents: - ZeroShotAgent @@ -40,6 +41,27 @@ tools: - Tool - PythonFunction - JsonSpec + - News API + - TMDB API + - Podcast API + - QuerySQLDataBaseTool + - InfoSQLDatabaseTool + - ListSQLDatabaseTool + # - QueryCheckerTool + - BingSearchRun + - GoogleSearchRun + - GoogleSearchResults + - JsonListKeysTool + - JsonGetValueTool + - PythonREPLTool + - PythonAstREPLTool + - RequestsGetTool + - RequestsPostTool + - RequestsPatchTool + - RequestsPutTool + - RequestsDeleteTool + - WikipediaQueryRun + - WolframAlphaQueryRun wrappers: - RequestsWrapper @@ -91,4 +113,16 @@ documentloaders: textsplitters: - CharacterTextSplitter +utilities: + - BingSearchAPIWrapper + - GoogleSearchAPIWrapper + - GoogleSerperAPIWrapper + - SearxResults + - SearxSearchWrapper + - SerpAPIWrapper + - WikipediaAPIWrapper + - WolframAlphaAPIWrapper + # - ZapierNLAWrapper + - SQLDatabase + dev: false diff --git a/src/backend/langflow/custom/customs.py b/src/backend/langflow/custom/customs.py index e77b81ec6..d45221be7 100644 --- a/src/backend/langflow/custom/customs.py +++ b/src/backend/langflow/custom/customs.py @@ -12,6 +12,9 @@ CUSTOM_NODES = { "VectorStoreRouterAgent": nodes.VectorStoreRouterAgentNode(), "SQLAgent": nodes.SQLAgentNode(), }, + "utilities": { + "SQLDatabase": nodes.SQLDatabaseNode(), + }, } diff --git a/src/backend/langflow/graph/base.py b/src/backend/langflow/graph/base.py index ff586c6da..6d998eed6 100644 --- a/src/backend/langflow/graph/base.py +++ b/src/backend/langflow/graph/base.py @@ -202,7 +202,11 @@ class Node: "VectorStoreRouterAgent", "VectorStoreAgent", "VectorStoreInfo", - ] or self.node_type in ["VectorStoreInfo", "VectorStoreRouterToolkit"]: + ] or self.node_type in [ + "VectorStoreInfo", + "VectorStoreRouterToolkit", + "SQLDatabase", + ]: return self._built_object return deepcopy(self._built_object) diff --git a/src/backend/langflow/graph/nodes.py b/src/backend/langflow/graph/nodes.py index 7296a0c0d..018174334 100644 --- a/src/backend/langflow/graph/nodes.py +++ b/src/backend/langflow/graph/nodes.py @@ -101,6 +101,10 @@ class ChainNode(Node): self.params[key] = value.build(tools=tools, force=force) self._build() + + #! Cannot deepcopy SQLDatabaseChain + if self.node_type in ["SQLDatabaseChain"]: + return self._built_object return deepcopy(self._built_object) diff --git a/src/backend/langflow/interface/agents/custom.py b/src/backend/langflow/interface/agents/custom.py index 851bd2af8..27159d22a 100644 --- a/src/backend/langflow/interface/agents/custom.py +++ b/src/backend/langflow/interface/agents/custom.py @@ -274,7 +274,11 @@ class InitializeAgent(AgentExecutor): @classmethod def initialize( - cls, llm: BaseLLM, tools: List[Tool], agent: str, memory: BaseChatMemory + cls, + llm: BaseLLM, + tools: List[Tool], + agent: str, + memory: Optional[BaseChatMemory] = None, ): return initialize_agent( tools=tools, diff --git a/src/backend/langflow/interface/custom_lists.py b/src/backend/langflow/interface/custom_lists.py index 2ffc18b14..f07b03f04 100644 --- a/src/backend/langflow/interface/custom_lists.py +++ b/src/backend/langflow/interface/custom_lists.py @@ -9,10 +9,12 @@ from langchain import ( memory, requests, text_splitter, + utilities, vectorstores, ) from langchain.agents import agent_toolkits from langchain.chat_models import ChatOpenAI +from langchain.sql_database import SQLDatabase from langflow.interface.importing.utils import import_class @@ -76,3 +78,9 @@ documentloaders_type_to_cls_dict: dict[str, Any] = { textsplitter_type_to_cls_dict: dict[str, Any] = dict( inspect.getmembers(text_splitter, inspect.isclass) ) + +## Utilities +utility_type_to_cls_dict: dict[str, Any] = dict( + inspect.getmembers(utilities, inspect.isclass) +) +utility_type_to_cls_dict["SQLDatabase"] = SQLDatabase diff --git a/src/backend/langflow/interface/importing/utils.py b/src/backend/langflow/interface/importing/utils.py index a3480928e..e303da0eb 100644 --- a/src/backend/langflow/interface/importing/utils.py +++ b/src/backend/langflow/interface/importing/utils.py @@ -10,7 +10,7 @@ from langchain.chat_models.base import BaseChatModel from langchain.llms.base import BaseLLM from langchain.tools import BaseTool -from langflow.interface.tools.util import get_tool_by_name +from langflow.interface.tools.base import tool_creator def import_module(module_path: str) -> Any: @@ -44,6 +44,7 @@ def import_by_type(_type: str, name: str) -> Any: "vectorstores": import_vectorstore, "documentloaders": import_documentloader, "textsplitters": import_textsplitter, + "utilities": import_utility, } if _type == "llms": key = "chat" if "chat" in name.lower() else "llm" @@ -107,7 +108,7 @@ def import_llm(llm: str) -> BaseLLM: def import_tool(tool: str) -> BaseTool: """Import tool from tool name""" - return get_tool_by_name(tool) + return tool_creator.type_to_loader_dict[tool]["fcn"] def import_chain(chain: str) -> Type[Chain]: @@ -131,10 +132,16 @@ def import_vectorstore(vectorstore: str) -> Any: def import_documentloader(documentloader: str) -> Any: """Import documentloader from documentloader name""" - return import_class(f"langchain.document_loaders.{documentloader}") def import_textsplitter(textsplitter: str) -> Any: """Import textsplitter from textsplitter name""" return import_class(f"langchain.text_splitter.{textsplitter}") + + +def import_utility(utility: str) -> Any: + """Import utility from utility name""" + if utility == "SQLDatabase": + return import_class(f"langchain.sql_database.{utility}") + return import_class(f"langchain.utilities.{utility}") diff --git a/src/backend/langflow/interface/listing.py b/src/backend/langflow/interface/listing.py index cf45fd9c5..3d73105c2 100644 --- a/src/backend/langflow/interface/listing.py +++ b/src/backend/langflow/interface/listing.py @@ -8,6 +8,7 @@ from langflow.interface.prompts.base import prompt_creator from langflow.interface.text_splitters.base import textsplitter_creator from langflow.interface.toolkits.base import toolkits_creator from langflow.interface.tools.base import tool_creator +from langflow.interface.utilities.base import utility_creator from langflow.interface.vector_store.base import vectorstore_creator from langflow.interface.wrappers.base import wrapper_creator @@ -26,6 +27,7 @@ def get_type_dict(): "vectorStore": vectorstore_creator.to_list(), "embeddings": embedding_creator.to_list(), "textSplitters": textsplitter_creator.to_list(), + "utilities": utility_creator.to_list(), } diff --git a/src/backend/langflow/interface/loading.py b/src/backend/langflow/interface/loading.py index ca2017ff3..4cf702ea2 100644 --- a/src/backend/langflow/interface/loading.py +++ b/src/backend/langflow/interface/loading.py @@ -56,6 +56,8 @@ def instantiate_class(node_type: str, base_type: str, params: Dict) -> Any: if isinstance(function_string, str): return validate.eval_function(function_string) raise ValueError("Function should be a string") + elif node_type.lower() == "tool": + return class_object(**params) elif base_type == "toolkits": loaded_toolkit = class_object(**params) # Check if node_type has a loader @@ -66,6 +68,13 @@ def instantiate_class(node_type: str, base_type: str, params: Dict) -> Any: params.pop("model") return class_object(**params) elif base_type == "vectorstores": + if len(params.get("documents", [])) == 0: + # Error when the pdf or other source was not correctly + # loaded. + raise ValueError( + "The source you provided did not load correctly or was empty." + "This may cause an error in the vectorstore." + ) return class_object.from_documents(**params) elif base_type == "documentloaders": return class_object(**params).load() @@ -73,16 +82,19 @@ def instantiate_class(node_type: str, base_type: str, params: Dict) -> Any: documents = params.pop("documents") text_splitter = class_object(**params) return text_splitter.split_documents(documents) + elif base_type == "utilities": + if node_type == "SQLDatabase": + return class_object.from_uri(params.pop("uri")) return class_object(**params) -def load_flow_from_json(path: str): +def load_flow_from_json(path: str, build=True): # This is done to avoid circular imports from langflow.graph import Graph """Load flow from json file""" - with open(path, "r") as f: + with open(path, "r", encoding="utf-8") as f: flow_graph = json.load(f) data_graph = flow_graph["data"] nodes = data_graph["nodes"] @@ -94,7 +106,7 @@ def load_flow_from_json(path: str): # Nodes, edges and root node edges = data_graph["edges"] graph = Graph(nodes, edges) - return graph.build() + return graph.build() if build else graph def replace_zero_shot_prompt_with_prompt_template(nodes): diff --git a/src/backend/langflow/interface/run.py b/src/backend/langflow/interface/run.py index c92f40fec..047ba733e 100644 --- a/src/backend/langflow/interface/run.py +++ b/src/backend/langflow/interface/run.py @@ -1,6 +1,7 @@ import contextlib import io from typing import Any, Dict +from chromadb.errors import NotEnoughElementsException # type: ignore from langflow.cache.utils import compute_dict_hash, load_cache, memoize_dict from langflow.graph.graph import Graph @@ -170,10 +171,12 @@ def fix_memory_inputs(langchain_object): if langchain_object.memory.memory_key in langchain_object.input_variables: return except AttributeError: - if ( - langchain_object.memory.memory_key - in langchain_object.prompt.input_variables - ): + input_variables = ( + langchain_object.prompt.input_variables + if hasattr(langchain_object, "prompt") + else langchain_object.input_keys + ) + if langchain_object.memory.memory_key in input_variables: return possible_new_mem_key = get_memory_key(langchain_object) @@ -228,6 +231,10 @@ def get_result_and_thought_using_graph(langchain_object, message: str): else: thought = output_buffer.getvalue() + except NotEnoughElementsException as exc: + raise ValueError( + "Error: Not enough documents for ChromaDB to index. Try reducing chunk size in TextSplitter." + ) from exc except Exception as exc: raise ValueError(f"Error: {str(exc)}") from exc return result, thought diff --git a/src/backend/langflow/interface/tools/base.py b/src/backend/langflow/interface/tools/base.py index f175a9902..e756ecbd6 100644 --- a/src/backend/langflow/interface/tools/base.py +++ b/src/backend/langflow/interface/tools/base.py @@ -1,7 +1,6 @@ from typing import Dict, List, Optional from langchain.agents.load_tools import ( - _BASE_TOOLS, _EXTRA_LLM_TOOLS, _EXTRA_OPTIONAL_TOOLS, _LLM_TOOLS, @@ -10,17 +9,16 @@ from langchain.agents.load_tools import ( from langflow.custom import customs from langflow.interface.base import LangChainTypeCreator from langflow.interface.tools.constants import ( + ALL_TOOLS_NAMES, CUSTOM_TOOLS, FILE_TOOLS, + OTHER_TOOLS, ) -from langflow.interface.tools.util import ( - get_tool_by_name, - get_tool_params, - get_tools_dict, -) +from langflow.interface.tools.util import get_tool_params from langflow.settings import settings from langflow.template.base import Template, TemplateField from langflow.utils import util +from langflow.utils.util import build_template_from_class TOOL_INPUTS = { "str": TemplateField( @@ -66,64 +64,80 @@ class ToolCreator(LangChainTypeCreator): @property def type_to_loader_dict(self) -> Dict: if self.tools_dict is None: - self.tools_dict = get_tools_dict() + all_tools = {} + for tool, tool_fcn in ALL_TOOLS_NAMES.items(): + tool_params = get_tool_params(tool_fcn) + tool_name = tool_params.get("name", tool) + + if tool_name in settings.tools or settings.dev: + if tool_name == "JsonSpec": + tool_params["path"] = tool_params.pop("dict_") # type: ignore + all_tools[tool_name] = { + "type": tool, + "params": tool_params, + "fcn": tool_fcn, + } + + self.tools_dict = all_tools + return self.tools_dict def get_signature(self, name: str) -> Optional[Dict]: """Get the signature of a tool.""" base_classes = ["Tool"] - all_tools = {} - for tool in self.type_to_loader_dict.keys(): - tool_fcn = get_tool_by_name(tool) - if tool_params := get_tool_params(tool_fcn): - tool_name = tool_params.get("name") or str(tool) - all_tools[tool_name] = { - "type": tool, - "params": tool_params, - "fcn": tool_fcn, - } + fields = [] + params = [] + tool_params = {} # Raise error if name is not in tools - if name not in all_tools.keys(): + if name not in self.type_to_loader_dict.keys(): raise ValueError("Tool not found") - tool_type: str = all_tools[name]["type"] # type: ignore + tool_type: str = self.type_to_loader_dict[name]["type"] # type: ignore - if all_tools[tool_type]["fcn"] in _BASE_TOOLS.values(): - params = [] - elif all_tools[tool_type]["fcn"] in _LLM_TOOLS.values(): + # if tool_type in _BASE_TOOLS.keys(): + # params = [] + if tool_type in _LLM_TOOLS.keys(): params = ["llm"] - elif all_tools[tool_type]["fcn"] in [ - val[0] for val in _EXTRA_LLM_TOOLS.values() - ]: - n_dict = {val[0]: val[1] for val in _EXTRA_LLM_TOOLS.values()} - extra_keys = n_dict[all_tools[tool_type]["fcn"]] + elif tool_type in _EXTRA_LLM_TOOLS.keys(): + extra_keys = _EXTRA_LLM_TOOLS[tool_type][1] params = ["llm"] + extra_keys - elif all_tools[tool_type]["fcn"] in [ - val[0] for val in _EXTRA_OPTIONAL_TOOLS.values() - ]: - n_dict = {val[0]: val[1] for val in _EXTRA_OPTIONAL_TOOLS.values()} # type: ignore - extra_keys = n_dict[all_tools[tool_type]["fcn"]] + elif tool_type in _EXTRA_OPTIONAL_TOOLS.keys(): + extra_keys = _EXTRA_OPTIONAL_TOOLS[tool_type][1] params = extra_keys - elif tool_type == "Tool": - params = ["name", "description", "func"] + # elif tool_type == "Tool": + # params = ["name", "description", "func"] elif tool_type in CUSTOM_TOOLS: # Get custom tool params - params = all_tools[name]["params"] # type: ignore + params = self.type_to_loader_dict[name]["params"] # type: ignore base_classes = ["function"] if node := customs.get_custom_nodes("tools").get(tool_type): return node elif tool_type in FILE_TOOLS: - params = all_tools[name]["params"] # type: ignore - if tool_type == "JsonSpec": - params["path"] = params.pop("dict_") # type: ignore + params = self.type_to_loader_dict[name]["params"] # type: ignore base_classes += [name] - else: - params = [] + elif tool_type in OTHER_TOOLS: + tool_dict = build_template_from_class(tool_type, OTHER_TOOLS) + fields = tool_dict["template"] + + # Pop unnecessary fields and add name + fields.pop("_type") # type: ignore + fields.pop("return_direct") # type: ignore + fields.pop("verbose") # type: ignore + + tool_params = { + "name": fields.pop("name")["value"], # type: ignore + "description": fields.pop("description")["value"], # type: ignore + } + + fields = [ + TemplateField(name=name, field_type=field["type"], **field) + for name, field in fields.items() # type: ignore + ] + base_classes += tool_dict["base_classes"] # Copy the field and add the name - fields = [] for param in params: field = TOOL_INPUTS.get(param, TOOL_INPUTS["str"]).copy() field.name = param @@ -134,7 +148,7 @@ class ToolCreator(LangChainTypeCreator): template = Template(fields=fields, type_name=tool_type) - tool_params = all_tools[name]["params"] + tool_params = {**tool_params, **self.type_to_loader_dict[name]["params"]} return { "template": util.format_dict(template.to_dict()), **tool_params, @@ -144,21 +158,7 @@ class ToolCreator(LangChainTypeCreator): def to_list(self) -> List[str]: """List all load tools""" - tools = [] - - for tool, fcn in get_tools_dict().items(): - tool_params = get_tool_params(fcn) - - if tool_params and not tool_params.get("name"): - tool_params["name"] = tool - - if tool_params and ( - tool_params.get("name") in settings.tools - or (tool_params.get("name") and settings.dev) - ): - tools.append(tool_params["name"]) - - return tools + return list(self.type_to_loader_dict.keys()) tool_creator = ToolCreator() diff --git a/src/backend/langflow/interface/tools/constants.py b/src/backend/langflow/interface/tools/constants.py index 2ec20cef9..34890a684 100644 --- a/src/backend/langflow/interface/tools/constants.py +++ b/src/backend/langflow/interface/tools/constants.py @@ -5,12 +5,50 @@ from langchain.agents.load_tools import ( _EXTRA_OPTIONAL_TOOLS, _LLM_TOOLS, ) -from langchain.tools.json.tool import JsonSpec +from langchain.tools.bing_search.tool import BingSearchRun +from langchain.tools.google_search.tool import GoogleSearchResults, GoogleSearchRun +from langchain.tools.json.tool import JsonGetValueTool, JsonListKeysTool, JsonSpec +from langchain.tools.python.tool import PythonAstREPLTool, PythonREPLTool +from langchain.tools.requests.tool import ( + RequestsDeleteTool, + RequestsGetTool, + RequestsPatchTool, + RequestsPostTool, + RequestsPutTool, +) +from langchain.tools.sql_database.tool import ( + InfoSQLDatabaseTool, + ListSQLDatabaseTool, + QueryCheckerTool, + QuerySQLDataBaseTool, +) +from langchain.tools.wikipedia.tool import WikipediaQueryRun +from langchain.tools.wolfram_alpha.tool import WolframAlphaQueryRun from langflow.interface.tools.custom import PythonFunction FILE_TOOLS = {"JsonSpec": JsonSpec} CUSTOM_TOOLS = {"Tool": Tool, "PythonFunction": PythonFunction} +OTHER_TOOLS = { + "QuerySQLDataBaseTool": QuerySQLDataBaseTool, + "InfoSQLDatabaseTool": InfoSQLDatabaseTool, + "ListSQLDatabaseTool": ListSQLDatabaseTool, + "QueryCheckerTool": QueryCheckerTool, + "BingSearchRun": BingSearchRun, + "GoogleSearchRun": GoogleSearchRun, + "GoogleSearchResults": GoogleSearchResults, + "JsonListKeysTool": JsonListKeysTool, + "JsonGetValueTool": JsonGetValueTool, + "PythonREPLTool": PythonREPLTool, + "PythonAstREPLTool": PythonAstREPLTool, + "RequestsGetTool": RequestsGetTool, + "RequestsPostTool": RequestsPostTool, + "RequestsPatchTool": RequestsPatchTool, + "RequestsPutTool": RequestsPutTool, + "RequestsDeleteTool": RequestsDeleteTool, + "WikipediaQueryRun": WikipediaQueryRun, + "WolframAlphaQueryRun": WolframAlphaQueryRun, +} ALL_TOOLS_NAMES = { **_BASE_TOOLS, **_LLM_TOOLS, # type: ignore @@ -18,4 +56,5 @@ ALL_TOOLS_NAMES = { **{k: v[0] for k, v in _EXTRA_OPTIONAL_TOOLS.items()}, **CUSTOM_TOOLS, **FILE_TOOLS, # type: ignore + **OTHER_TOOLS, } diff --git a/src/backend/langflow/interface/tools/util.py b/src/backend/langflow/interface/tools/util.py index 8f8673b6b..f1d66696a 100644 --- a/src/backend/langflow/interface/tools/util.py +++ b/src/backend/langflow/interface/tools/util.py @@ -4,29 +4,6 @@ from typing import Dict, Union from langchain.agents.tools import Tool -from langflow.interface.tools.constants import ALL_TOOLS_NAMES - - -def get_tools_dict(): - """Get the tools dictionary.""" - - all_tools = {} - - for tool, fcn in ALL_TOOLS_NAMES.items(): - if tool_params := get_tool_params(fcn): - tool_name = tool_params.get("name") or str(tool) - all_tools[tool_name] = fcn - - return all_tools - - -def get_tool_by_name(name: str): - """Get a tool from the tools dictionary.""" - tools = get_tools_dict() - if name not in tools: - raise ValueError(f"{name} not found.") - return tools[name] - def get_func_tool_params(func, **kwargs) -> Union[Dict, None]: tree = ast.parse(inspect.getsource(func)) @@ -113,6 +90,8 @@ def get_tool_params(tool, **kwargs) -> Dict: elif inspect.isclass(tool): # Get the parameters necessary to # instantiate the class + return get_class_tool_params(tool, **kwargs) or {} + else: raise ValueError("Tool must be a function or class.") diff --git a/src/backend/langflow/interface/types.py b/src/backend/langflow/interface/types.py index fd5d9ec3e..085537756 100644 --- a/src/backend/langflow/interface/types.py +++ b/src/backend/langflow/interface/types.py @@ -8,6 +8,7 @@ from langflow.interface.prompts.base import prompt_creator from langflow.interface.text_splitters.base import textsplitter_creator from langflow.interface.toolkits.base import toolkits_creator from langflow.interface.tools.base import tool_creator +from langflow.interface.utilities.base import utility_creator from langflow.interface.vector_store.base import vectorstore_creator from langflow.interface.wrappers.base import wrapper_creator @@ -42,6 +43,7 @@ def build_langchain_types_dict(): # sourcery skip: dict-assign-update-to-union vectorstore_creator, documentloader_creator, textsplitter_creator, + utility_creator, ] all_types = {} diff --git a/src/backend/langflow/interface/utilities/__init__.py b/src/backend/langflow/interface/utilities/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/src/backend/langflow/interface/utilities/base.py b/src/backend/langflow/interface/utilities/base.py new file mode 100644 index 000000000..e60e344ad --- /dev/null +++ b/src/backend/langflow/interface/utilities/base.py @@ -0,0 +1,39 @@ +from typing import Dict, List, Optional + +from langflow.custom.customs import get_custom_nodes +from langflow.interface.base import LangChainTypeCreator +from langflow.interface.custom_lists import utility_type_to_cls_dict +from langflow.settings import settings +from langflow.utils.logger import logger +from langflow.utils.util import build_template_from_class + + +class UtilityCreator(LangChainTypeCreator): + type_name: str = "utilities" + + @property + def type_to_loader_dict(self) -> Dict: + return utility_type_to_cls_dict + + def get_signature(self, name: str) -> Optional[Dict]: + """Get the signature of a utility.""" + try: + if name in get_custom_nodes(self.type_name).keys(): + return get_custom_nodes(self.type_name)[name] + return build_template_from_class(name, utility_type_to_cls_dict) + except ValueError as exc: + raise ValueError(f"Utility {name} not found") from exc + + except AttributeError as exc: + logger.error(f"Utility {name} not loaded: {exc}") + return None + + def to_list(self) -> List[str]: + return [ + utility.__name__ + for utility in self.type_to_loader_dict.values() + if utility.__name__ in settings.utilities or settings.dev + ] + + +utility_creator = UtilityCreator() diff --git a/src/backend/langflow/settings.py b/src/backend/langflow/settings.py index c5377c85a..48aa5939d 100644 --- a/src/backend/langflow/settings.py +++ b/src/backend/langflow/settings.py @@ -18,6 +18,7 @@ class Settings(BaseSettings): wrappers: List[str] = [] toolkits: List[str] = [] textsplitters: List[str] = [] + utilities: List[str] = [] dev: bool = False class Config: @@ -42,6 +43,7 @@ class Settings(BaseSettings): self.wrappers = new_settings.wrappers or [] self.toolkits = new_settings.toolkits or [] self.textsplitters = new_settings.textsplitters or [] + self.utilities = new_settings.utilities or [] self.dev = new_settings.dev or False diff --git a/src/backend/langflow/template/base.py b/src/backend/langflow/template/base.py index 0fe665f67..ecadde108 100644 --- a/src/backend/langflow/template/base.py +++ b/src/backend/langflow/template/base.py @@ -225,6 +225,10 @@ class FrontendNode(BaseModel): field.is_list = True if "api_key" in key and "OpenAI" in str(name): field.display_name = "OpenAI API Key" - field.required = True + field.required = False if field.value is None: field.value = "" + # If the field.name contains api or api and key, then it might be an api key + # other conditions are to make sure that it is not an input or output variable + if "api" in key.lower() and "key" in key.lower(): + field.required = False diff --git a/src/backend/langflow/template/nodes.py b/src/backend/langflow/template/nodes.py index c31f3c40f..b174a9363 100644 --- a/src/backend/langflow/template/nodes.py +++ b/src/backend/langflow/template/nodes.py @@ -104,7 +104,7 @@ class PythonFunctionNode(FrontendNode): class ToolNode(FrontendNode): name: str = "Tool" template: Template = Template( - type_name="tool", + type_name="Tool", fields=[ TemplateField( field_type="str", @@ -127,19 +127,27 @@ class ToolNode(FrontendNode): name="description", ), TemplateField( - field_type="str", + name="func", + field_type="function", + required=True, + is_list=False, + show=True, + multiline=True, + ), + TemplateField( + field_type="bool", required=True, placeholder="", is_list=False, show=True, - multiline=True, - value="", - name="func", + multiline=False, + value=False, + name="return_direct", ), ], ) description: str = "Tool to be used in the flow." - base_classes: list[str] = ["BaseTool"] + base_classes: list[str] = ["Tool"] def to_dict(self): return super().to_dict() @@ -248,6 +256,29 @@ class CSVAgentNode(FrontendNode): return super().to_dict() +class SQLDatabaseNode(FrontendNode): + name: str = "SQLDatabase" + template: Template = Template( + type_name="sql_database", + fields=[ + TemplateField( + field_type="str", + required=True, + is_list=False, + show=True, + multiline=False, + value="", + name="uri", + ), + ], + ) + description: str = """SQLAlchemy wrapper around a database.""" + base_classes: list[str] = ["SQLDatabase"] + + def to_dict(self): + return super().to_dict() + + class VectorStoreAgentNode(FrontendNode): name: str = "VectorStoreAgent" template: Template = Template( @@ -414,7 +445,9 @@ class LLMFrontendNode(FrontendNode): if "api" in field.name and ("key" in field.name or "token" in field.name): field.password = True field.show = True - field.required = True + # Required should be False to support + # loading the API key from environment variables + field.required = False if field.name == "task": field.required = True diff --git a/src/backend/langflow/utils/validate.py b/src/backend/langflow/utils/validate.py index af5ddea3c..d1353bd77 100644 --- a/src/backend/langflow/utils/validate.py +++ b/src/backend/langflow/utils/validate.py @@ -59,7 +59,12 @@ def eval_function(function_string: str): # Execute the code string in the new namespace exec(function_string, namespace) function_object = next( - (obj for name, obj in namespace.items() if isinstance(obj, types.FunctionType)), + ( + obj + for name, obj in namespace.items() + if isinstance(obj, types.FunctionType) + and obj.__code__.co_filename == "" + ), None, ) if function_object is None: diff --git a/src/frontend/package-lock.json b/src/frontend/package-lock.json index df61239c5..35d27c5f4 100644 --- a/src/frontend/package-lock.json +++ b/src/frontend/package-lock.json @@ -14,6 +14,7 @@ "@heroicons/react": "^2.0.15", "@mui/material": "^5.11.9", "@tailwindcss/forms": "^0.5.3", + "@tailwindcss/line-clamp": "^0.4.4", "@testing-library/jest-dom": "^5.16.5", "@testing-library/react": "^13.4.0", "@testing-library/user-event": "^13.5.0", @@ -3930,6 +3931,14 @@ "tailwindcss": ">=3.0.0 || >= 3.0.0-alpha.1" } }, + "node_modules/@tailwindcss/line-clamp": { + "version": "0.4.4", + "resolved": "https://registry.npmjs.org/@tailwindcss/line-clamp/-/line-clamp-0.4.4.tgz", + "integrity": "sha512-5U6SY5z8N42VtrCrKlsTAA35gy2VSyYtHWCsg1H87NU1SXnEfekTVlrga9fzUDrrHcGi2Lb5KenUWb4lRQT5/g==", + "peerDependencies": { + "tailwindcss": ">=2.0.0 || >=3.0.0 || >=3.0.0-alpha.1" + } + }, "node_modules/@testing-library/dom": { "version": "8.20.0", "resolved": "https://registry.npmjs.org/@testing-library/dom/-/dom-8.20.0.tgz", diff --git a/src/frontend/package.json b/src/frontend/package.json index b669569e3..6eba117fc 100644 --- a/src/frontend/package.json +++ b/src/frontend/package.json @@ -9,6 +9,7 @@ "@heroicons/react": "^2.0.15", "@mui/material": "^5.11.9", "@tailwindcss/forms": "^0.5.3", + "@tailwindcss/line-clamp": "^0.4.4", "@testing-library/jest-dom": "^5.16.5", "@testing-library/react": "^13.4.0", "@testing-library/user-event": "^13.5.0", @@ -60,4 +61,4 @@ ] }, "proxy": "http://backend:7860" -} \ No newline at end of file +} diff --git a/src/frontend/src/components/TooltipComponent/index.tsx b/src/frontend/src/components/TooltipComponent/index.tsx index a111d047b..65c8d0e5f 100644 --- a/src/frontend/src/components/TooltipComponent/index.tsx +++ b/src/frontend/src/components/TooltipComponent/index.tsx @@ -1,6 +1,7 @@ import { ReactElement } from "react"; import { LightTooltip } from "../LightTooltipComponent"; +import { TooltipComponentType } from "../../types/components"; -export default function Tooltip({ children, title }:{children:ReactElement,title:string}) { - return {children}; +export default function Tooltip({ children, title,placement }:TooltipComponentType) { + return {children}; } diff --git a/src/frontend/src/components/loadingComponent/index.tsx b/src/frontend/src/components/loadingComponent/index.tsx index 668c1c5a8..6181fd7cc 100644 --- a/src/frontend/src/components/loadingComponent/index.tsx +++ b/src/frontend/src/components/loadingComponent/index.tsx @@ -10,6 +10,7 @@ export default function LoadingComponent({remSize}:LoadingComponentProps){ +

Loading... ) diff --git a/src/frontend/src/contexts/tabsContext.tsx b/src/frontend/src/contexts/tabsContext.tsx index a11f0339d..97e62e5e2 100644 --- a/src/frontend/src/contexts/tabsContext.tsx +++ b/src/frontend/src/contexts/tabsContext.tsx @@ -144,7 +144,7 @@ export function TabsProvider({ children }: { children: ReactNode }) { // Create a new flow with a default name if no flow is provided. let newFlow: FlowType = { description, - name: "New Flow", + name: flow?.name??"New Flow", id: id.toString(), data, chat: flow ? flow.chat : [], diff --git a/src/frontend/src/controllers/API/index.ts b/src/frontend/src/controllers/API/index.ts index 8fa7ff527..490ec2837 100644 --- a/src/frontend/src/controllers/API/index.ts +++ b/src/frontend/src/controllers/API/index.ts @@ -1,6 +1,7 @@ import { PromptTypeAPI, errorsTypeAPI } from './../../types/api/index'; import { APIObjectType, sendAllProps } from '../../types/api/index'; import axios, { AxiosResponse } from "axios"; +import { FlowType } from '../../types/flow'; export async function getAll():Promise> { return await axios.get(`/all`); @@ -18,4 +19,22 @@ export async function checkCode(code:string):Promise>{ return await axios.post('/validate/prompt',{template}) -} \ No newline at end of file +} + +export async function getExamples(): Promise { + const url = 'https://api.github.com/repos/logspace-ai/langflow_examples/contents/examples'; + const response = await axios.get(url); + + const jsonFiles = response.data.filter((file: any) => { + return file.name.endsWith('.json'); + }); + + const contentsPromises = jsonFiles.map(async (file: any) => { + const contentResponse = await axios.get(file.download_url); + return contentResponse.data; + }); + + const contents = await Promise.all(contentsPromises); + + return contents; + } \ No newline at end of file diff --git a/src/frontend/src/modals/importModal/buttonBox/index.tsx b/src/frontend/src/modals/importModal/buttonBox/index.tsx index 3645a31b9..b0757cdae 100644 --- a/src/frontend/src/modals/importModal/buttonBox/index.tsx +++ b/src/frontend/src/modals/importModal/buttonBox/index.tsx @@ -1,6 +1,7 @@ import React, { ReactNode } from "react"; import { DocumentDuplicateIcon } from "@heroicons/react/solid"; import { classNames } from "../../../utils"; +import Tooltip from "../../../components/TooltipComponent"; export default function ButtonBox({ onClick, @@ -9,7 +10,8 @@ export default function ButtonBox({ icon, bgColor, textColor, - deactivate + deactivate, + size, }: { onClick: () => void; title: string; @@ -17,31 +19,103 @@ export default function ButtonBox({ icon: ReactNode; bgColor: string; textColor: string; - deactivate?:boolean; + deactivate?: boolean; + size: "small" | "medium" | "big"; }) { + let bigCircle: string; + let smallCircle: string; + let titleFontSize: string; + let descriptionFontSize: string; + let padding: string; + let marginTop: string; + let height: string; + let widht: string; + switch (size) { + case "small": + bigCircle = "h-12 w-12"; + smallCircle = "h-8 w-8"; + titleFontSize = "text-sm"; + descriptionFontSize = "text-xs"; + padding = "p-2"; + marginTop = "mt-2"; + height = "h-36"; + widht = "w-32"; + break; + case "medium": + bigCircle = "h-16 w-16"; + smallCircle = "h-12 w-12"; + titleFontSize = "text-base"; + descriptionFontSize = "text-sm"; + padding = "p-4"; + marginTop = "mt-3"; + height = "h-44"; + widht = "w-36"; + break; + case "big": + bigCircle = "h-20 w-20"; + smallCircle = "h-16 w-16"; + titleFontSize = "text-lg"; + descriptionFontSize = "text-sm"; + padding = "p-8"; + marginTop = "mt-6"; + height = "h-56"; + widht = "w-44"; + break; + default: + bigCircle = "h-20 w-20"; + smallCircle = "h-16 w-16"; + titleFontSize = "text-lg"; + descriptionFontSize = "text-sm"; + padding = "p-8"; + marginTop = "mt-6"; + height = "h-56"; + widht = "w-44"; + break; + } return ( ); } diff --git a/src/frontend/src/modals/importModal/index.tsx b/src/frontend/src/modals/importModal/index.tsx index c471f3955..38b06ae5a 100644 --- a/src/frontend/src/modals/importModal/index.tsx +++ b/src/frontend/src/modals/importModal/index.tsx @@ -1,122 +1,232 @@ import { Dialog, Transition } from "@headlessui/react"; import { - XMarkIcon, - ArrowDownTrayIcon, - DocumentDuplicateIcon, - ComputerDesktopIcon, - ArrowUpTrayIcon, + XMarkIcon, + ArrowDownTrayIcon, + DocumentDuplicateIcon, + ComputerDesktopIcon, + ArrowUpTrayIcon, + ArrowLeftIcon, } from "@heroicons/react/24/outline"; import { Fragment, useContext, useRef, useState } from "react"; import { PopUpContext } from "../../contexts/popUpContext"; import { TabsContext } from "../../contexts/tabsContext"; import ButtonBox from "./buttonBox"; +import { getExamples } from "../../controllers/API"; +import { error } from "console"; +import { alertContext } from "../../contexts/alertContext"; +import LoadingComponent from "../../components/loadingComponent"; +import { FlowType } from "../../types/flow"; +import { classNames } from "../../utils"; export default function ImportModal() { - const [open, setOpen] = useState(true); - const { closePopUp } = useContext(PopUpContext); - const ref = useRef(); - const {uploadFlow} = useContext(TabsContext) - function setModalOpen(x: boolean) { - setOpen(x); - if (x === false) { - setTimeout(() => { - closePopUp(); - }, 300); - } - } - return ( - -

- -
- + const [open, setOpen] = useState(true); + const { setErrorData } = useContext(alertContext); + const { closePopUp } = useContext(PopUpContext); + const ref = useRef(); + const [showExamples, setShowExamples] = useState(false); + const [loadingExamples, setLoadingExamples] = useState(false); + const [examples, setExamples] = useState([]); + const { uploadFlow, addFlow } = useContext(TabsContext); + function setModalOpen(x: boolean) { + setOpen(x); + if (x === false) { + setTimeout(() => { + closePopUp(); + }, 300); + } + } -
-
- - -
- -
-
-
-
-
-
- - Import from - -
-
-
-
- - } - onClick={() => console.log("sdsds")} - textColor="text-slate-400" - title="Examples" - > - - } - onClick={() => {uploadFlow();setModalOpen(false)}} - textColor="text-blue-500" - title="Local file" - > -
-
+ function handleExamples() { + setLoadingExamples(true); + getExamples() + .then((result) => { + setLoadingExamples(false); + setExamples(result); + }) + .catch((error) => + setErrorData({ + title: "there was an error loading examples, please try again", + list: [error.message], + }) + ); + } -
- - -
-
-
- - ); + return ( + + + +
+ + +
+
+ + +
+ +
+ {showExamples && ( + <> +
+ +
+ + + )} +
+
+
+
+
+ + {showExamples ? "Select an example" : "Import from"} + +
+
+
+ {!showExamples && ( +
+ + } + onClick={() => { + setShowExamples(true); + handleExamples(); + }} + textColor="text-emerald-400" + title="Examples" + > + + } + onClick={() => { + uploadFlow(); + setModalOpen(false); + }} + textColor="text-blue-500" + title="Local file" + > +
+ )} + {showExamples && loadingExamples && ( +
+ +
+ )} + {showExamples && + !loadingExamples && + examples.map((example, index) => { + return ( +
+ {" "} + + } + onClick={() => { + addFlow(example); + setModalOpen(false); + }} + textColor="text-emerald-400" + title={example.name} + > +
+ ); + })} +
+
+ + +
+
+
+ + ); } diff --git a/src/frontend/src/pages/FlowPage/components/tabComponent/index.tsx b/src/frontend/src/pages/FlowPage/components/tabComponent/index.tsx index ca21a0a43..a8d098c32 100644 --- a/src/frontend/src/pages/FlowPage/components/tabComponent/index.tsx +++ b/src/frontend/src/pages/FlowPage/components/tabComponent/index.tsx @@ -18,7 +18,8 @@ export default function TabComponent({ selected, flow, onClick }:{flow:FlowType, className="dark:text-white flex justify-between select-none truncate w-44 items-center px-4 my-1.5 border-x border-x-gray-300 dark:border-x-gray-600 -ml-px" onClick={onClick} > - {flow.name} + {flow.name} +