Merge branch 'dev' into NodeModal
This commit is contained in:
anovazzi1
commit
65172707d9
37 changed files with 936 additions and 150 deletions
28
GCP_DEPLOYMENT.md
Normal file
28
GCP_DEPLOYMENT.md
Normal file
|
|
@ -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
|
||||
[](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.
|
||||
<hr>
|
||||
|
||||
## Spot/Preemptible Instance
|
||||
|
||||
[](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)
|
||||
<br>
|
||||
|
||||
| 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 |
|
||||
23
README.md
23
README.md
|
|
@ -19,14 +19,31 @@
|
|||
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
|
||||
|
||||
### <b>Locally</b>
|
||||
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.
|
||||
|
||||
[](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
|
||||
|
||||
|
|
|
|||
89
scripts/deploy_langflow_gcp.sh
Normal file
89
scripts/deploy_langflow_gcp.sh
Normal file
|
|
@ -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
|
||||
90
scripts/deploy_langflow_gcp_spot.sh
Normal file
90
scripts/deploy_langflow_gcp_spot.sh
Normal file
|
|
@ -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
|
||||
86
scripts/walkthroughtutorial.md
Normal file
86
scripts/walkthroughtutorial.md
Normal file
|
|
@ -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**]<walkthrough-project-setup
|
||||
billing="true"
|
||||
apis="compute.googleapis.com,container.googleapis.com">
|
||||
</walkthrough-project-setup>
|
||||
|
||||
|
||||
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 <walkthrough-project-id/>
|
||||
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
|
||||
|
||||
<walkthrough-pin-section-icon></walkthrough-pin-section-icon>
|
||||
> 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
|
||||
<br>**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.
|
||||
|
||||
<walkthrough-conclusion-trophy></walkthrough-conclusion-trophy>
|
||||
|
||||
## 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:
|
||||
|
||||
<walkthrough-pin-section-icon></walkthrough-pin-section-icon>
|
||||
> 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
|
||||
```
|
||||
83
scripts/walkthroughtutorial_spot.md
Normal file
83
scripts/walkthroughtutorial_spot.md
Normal file
|
|
@ -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**]<walkthrough-project-setup
|
||||
billing="true"
|
||||
apis="compute.googleapis.com,container.googleapis.com">
|
||||
</walkthrough-project-setup>
|
||||
|
||||
|
||||
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 <walkthrough-project-id/>
|
||||
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
|
||||
|
||||
> <walkthrough-pin-section-icon></walkthrough-pin-section-icon> 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
|
||||
<br>**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.
|
||||
|
||||
<walkthrough-conclusion-trophy></walkthrough-conclusion-trophy>
|
||||
|
||||
## 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:
|
||||
> <walkthrough-pin-section-icon></walkthrough-pin-section-icon> 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
|
||||
```
|
||||
|
|
@ -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
|
||||
|
|
|
|||
|
|
@ -12,6 +12,9 @@ CUSTOM_NODES = {
|
|||
"VectorStoreRouterAgent": nodes.VectorStoreRouterAgentNode(),
|
||||
"SQLAgent": nodes.SQLAgentNode(),
|
||||
},
|
||||
"utilities": {
|
||||
"SQLDatabase": nodes.SQLDatabaseNode(),
|
||||
},
|
||||
}
|
||||
|
||||
|
||||
|
|
|
|||
|
|
@ -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)
|
||||
|
||||
|
|
|
|||
|
|
@ -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)
|
||||
|
||||
|
||||
|
|
|
|||
|
|
@ -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
|
||||
|
|
|
|||
|
|
@ -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}")
|
||||
|
|
|
|||
|
|
@ -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(),
|
||||
}
|
||||
|
||||
|
||||
|
|
|
|||
|
|
@ -68,6 +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()
|
||||
|
|
@ -75,16 +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"]
|
||||
|
|
@ -96,7 +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):
|
||||
|
|
|
|||
|
|
@ -1,6 +1,7 @@
|
|||
import contextlib
|
||||
import io
|
||||
from typing import Any, Dict
|
||||
from chromadb.errors import NotEnoughElementsException
|
||||
|
||||
from langflow.cache.utils import compute_dict_hash, load_cache, memoize_dict
|
||||
from langflow.graph.graph import Graph
|
||||
|
|
@ -230,6 +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
|
||||
|
|
|
|||
|
|
@ -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 +64,81 @@ 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 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:
|
||||
print(tool_type)
|
||||
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 +149,7 @@ 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 +159,7 @@ 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()
|
||||
|
|
|
|||
|
|
@ -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,
|
||||
}
|
||||
|
|
|
|||
|
|
@ -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.")
|
||||
|
|
|
|||
|
|
@ -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 = {}
|
||||
|
|
|
|||
0
src/backend/langflow/interface/utilities/__init__.py
Normal file
0
src/backend/langflow/interface/utilities/__init__.py
Normal file
39
src/backend/langflow/interface/utilities/base.py
Normal file
39
src/backend/langflow/interface/utilities/base.py
Normal file
|
|
@ -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()
|
||||
|
|
@ -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
|
||||
|
||||
|
||||
|
|
|
|||
|
|
@ -256,6 +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(
|
||||
|
|
|
|||
9
src/frontend/package-lock.json
generated
9
src/frontend/package-lock.json
generated
|
|
@ -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",
|
||||
|
|
|
|||
|
|
@ -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"
|
||||
}
|
||||
}
|
||||
|
|
|
|||
|
|
@ -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 <LightTooltip title={title} arrow>{children}</LightTooltip>;
|
||||
export default function Tooltip({ children, title,placement }:TooltipComponentType) {
|
||||
return <LightTooltip placement={placement} title={title} arrow>{children}</LightTooltip>;
|
||||
}
|
||||
|
|
|
|||
|
|
@ -10,6 +10,7 @@ export default function LoadingComponent({remSize}:LoadingComponentProps){
|
|||
<path d="M100 50.5908C100 78.2051 77.6142 100.591 50 100.591C22.3858 100.591 0 78.2051 0 50.5908C0 22.9766 22.3858 0.59082 50 0.59082C77.6142 0.59082 100 22.9766 100 50.5908ZM9.08144 50.5908C9.08144 73.1895 27.4013 91.5094 50 91.5094C72.5987 91.5094 90.9186 73.1895 90.9186 50.5908C90.9186 27.9921 72.5987 9.67226 50 9.67226C27.4013 9.67226 9.08144 27.9921 9.08144 50.5908Z" fill="currentColor"/>
|
||||
<path d="M93.9676 39.0409C96.393 38.4038 97.8624 35.9116 97.0079 33.5539C95.2932 28.8227 92.871 24.3692 89.8167 20.348C85.8452 15.1192 80.8826 10.7238 75.2124 7.41289C69.5422 4.10194 63.2754 1.94025 56.7698 1.05124C51.7666 0.367541 46.6976 0.446843 41.7345 1.27873C39.2613 1.69328 37.813 4.19778 38.4501 6.62326C39.0873 9.04874 41.5694 10.4717 44.0505 10.1071C47.8511 9.54855 51.7191 9.52689 55.5402 10.0491C60.8642 10.7766 65.9928 12.5457 70.6331 15.2552C75.2735 17.9648 79.3347 21.5619 82.5849 25.841C84.9175 28.9121 86.7997 32.2913 88.1811 35.8758C89.083 38.2158 91.5421 39.6781 93.9676 39.0409Z" fill="currentFill"/>
|
||||
</svg>
|
||||
<br></br>
|
||||
<span className="animate-pulse text-blue-600 text-lg">Loading...</span>
|
||||
</div>
|
||||
)
|
||||
|
|
|
|||
|
|
@ -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 : [],
|
||||
|
|
|
|||
|
|
@ -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<AxiosResponse<APIObjectType>> {
|
||||
return await axios.get(`/all`);
|
||||
|
|
@ -18,4 +19,22 @@ export async function checkCode(code:string):Promise<AxiosResponse<errorsTypeAPI
|
|||
export async function checkPrompt(template:string):Promise<AxiosResponse<PromptTypeAPI>>{
|
||||
|
||||
return await axios.post('/validate/prompt',{template})
|
||||
}
|
||||
}
|
||||
|
||||
export async function getExamples(): Promise<FlowType[]> {
|
||||
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;
|
||||
}
|
||||
|
|
@ -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 (
|
||||
<button disabled={deactivate} onClick={onClick}>
|
||||
<div
|
||||
className={classNames(
|
||||
"col-span-1 flex flex-col divide-y divide-gray-200 rounded-lg text-center shadow border border-gray-300 hover:shadow-lg transform hover:scale-105",
|
||||
bgColor
|
||||
)}
|
||||
>
|
||||
<div className="flex flex-1 flex-col p-8">
|
||||
<div className="mx-auto flex items-center justify-center h-20 w-20 bg-white/30 rounded-full">
|
||||
<div className="mx-auto flex items-center justify-center h-16 w-16 bg-white rounded-full">
|
||||
<div className={textColor}>
|
||||
{icon}
|
||||
</div>
|
||||
<Tooltip title={description} placement="bottom">
|
||||
<div
|
||||
className={classNames(
|
||||
"col-span-1 flex flex-col divide-y divide-gray-200 rounded-lg text-center shadow border border-gray-300 hover:shadow-lg transform hover:scale-105",
|
||||
bgColor,
|
||||
height,
|
||||
widht
|
||||
)}
|
||||
>
|
||||
<div className={`flex flex-1 flex-col ${padding}`}>
|
||||
<div
|
||||
className={`mx-auto flex items-center justify-center ${bigCircle} bg-white/30 rounded-full`}
|
||||
>
|
||||
<div
|
||||
className={`mx-auto flex items-center justify-center ${smallCircle} bg-white rounded-full`}
|
||||
>
|
||||
<div className={textColor}>{icon}</div>
|
||||
</div>
|
||||
</div>
|
||||
<h3
|
||||
className={classNames(
|
||||
"font-semibold text-white",
|
||||
titleFontSize,
|
||||
marginTop
|
||||
)}
|
||||
>
|
||||
{title}
|
||||
</h3>
|
||||
<div className="mt-1 flex flex-grow flex-col justify-between">
|
||||
<dt className="sr-only">{title}</dt>
|
||||
{/* <dd
|
||||
className={classNames(
|
||||
"text-gray-100 line-clamp-2",
|
||||
descriptionFontSize
|
||||
)}
|
||||
>
|
||||
{deactivate ? "Coming soon" : description}
|
||||
</dd> */}
|
||||
</div>
|
||||
</div>
|
||||
<h3 className="mt-6 text-lg font-semibold text-white">{title}</h3>
|
||||
<div className="mt-1 flex flex-grow flex-col justify-between">
|
||||
<dt className="sr-only">{title}</dt>
|
||||
<dd className="text-sm text-gray-100">{deactivate? "Coming soon":description}</dd>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</Tooltip>
|
||||
</button>
|
||||
);
|
||||
}
|
||||
|
|
|
|||
|
|
@ -3,19 +3,30 @@ import {
|
|||
XMarkIcon,
|
||||
ArrowDownTrayIcon,
|
||||
DocumentDuplicateIcon,
|
||||
ComputerDesktopIcon,
|
||||
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 { setErrorData } = useContext(alertContext);
|
||||
const { closePopUp } = useContext(PopUpContext);
|
||||
const ref = useRef();
|
||||
const {uploadFlow} = useContext(TabsContext)
|
||||
const [showExamples, setShowExamples] = useState(false);
|
||||
const [loadingExamples, setLoadingExamples] = useState(false);
|
||||
const [examples, setExamples] = useState<FlowType[]>([]);
|
||||
const { uploadFlow, addFlow } = useContext(TabsContext);
|
||||
function setModalOpen(x: boolean) {
|
||||
setOpen(x);
|
||||
if (x === false) {
|
||||
|
|
@ -24,6 +35,22 @@ export default function ImportModal() {
|
|||
}, 300);
|
||||
}
|
||||
}
|
||||
|
||||
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 (
|
||||
<Transition.Root show={open} appear={true} as={Fragment}>
|
||||
<Dialog
|
||||
|
|
@ -68,6 +95,41 @@ export default function ImportModal() {
|
|||
<XMarkIcon className="h-6 w-6" aria-hidden="true" />
|
||||
</button>
|
||||
</div>
|
||||
{showExamples && (
|
||||
<>
|
||||
<div className="z-50 absolute top-2 left-0 hidden pt-4 pl-4 sm:block">
|
||||
<button
|
||||
type="button"
|
||||
className="rounded-md text-gray-400 hover:text-gray-500 focus:outline-none focus:ring-2 focus:ring-indigo-500 focus:ring-offset-2"
|
||||
onClick={() => {
|
||||
setShowExamples(false);
|
||||
}}
|
||||
>
|
||||
<span className="sr-only">Close</span>
|
||||
<ArrowLeftIcon className="h-6 w-6" aria-hidden="true" />
|
||||
</button>
|
||||
</div>
|
||||
<div className="z-50 absolute bottom-2 left-0 hidden pt-4 pl-2 sm:block">
|
||||
<a
|
||||
href="https://github.com/logspace-ai/langflow_examples"
|
||||
target="_blank"
|
||||
>
|
||||
<svg
|
||||
width="24"
|
||||
viewBox="0 0 98 96"
|
||||
xmlns="http://www.w3.org/2000/svg"
|
||||
>
|
||||
<path
|
||||
fill-rule="evenodd"
|
||||
clip-rule="evenodd"
|
||||
d="M48.854 0C21.839 0 0 22 0 49.217c0 21.756 13.993 40.172 33.405 46.69 2.427.49 3.316-1.059 3.316-2.362 0-1.141-.08-5.052-.08-9.127-13.59 2.934-16.42-5.867-16.42-5.867-2.184-5.704-5.42-7.17-5.42-7.17-4.448-3.015.324-3.015.324-3.015 4.934.326 7.523 5.052 7.523 5.052 4.367 7.496 11.404 5.378 14.235 4.074.404-3.178 1.699-5.378 3.074-6.6-10.839-1.141-22.243-5.378-22.243-24.283 0-5.378 1.94-9.778 5.014-13.2-.485-1.222-2.184-6.275.486-13.038 0 0 4.125-1.304 13.426 5.052a46.97 46.97 0 0 1 12.214-1.63c4.125 0 8.33.571 12.213 1.63 9.302-6.356 13.427-5.052 13.427-5.052 2.67 6.763.97 11.816.485 13.038 3.155 3.422 5.015 7.822 5.015 13.2 0 18.905-11.404 23.06-22.324 24.283 1.78 1.548 3.316 4.481 3.316 9.126 0 6.6-.08 11.897-.08 13.526 0 1.304.89 2.853 3.316 2.364 19.412-6.52 33.405-24.935 33.405-46.691C97.707 22 75.788 0 48.854 0z"
|
||||
fill="#24292f"
|
||||
/>
|
||||
</svg>
|
||||
</a>
|
||||
</div>
|
||||
</>
|
||||
)}
|
||||
<div className="h-full w-full flex flex-col justify-center items-center">
|
||||
<div className="flex w-full pb-4 z-10 justify-center shadow-sm">
|
||||
<div className="mx-auto mt-4 flex h-12 w-12 flex-shrink-0 items-center justify-center rounded-full bg-blue-100 dark:bg-gray-900 sm:mx-0 sm:h-10 sm:w-10">
|
||||
|
|
@ -81,36 +143,81 @@ export default function ImportModal() {
|
|||
as="h3"
|
||||
className="text-lg font-medium dark:text-white leading-10 text-gray-900"
|
||||
>
|
||||
Import from
|
||||
{showExamples ?"Select an example":"Import from"}
|
||||
</Dialog.Title>
|
||||
</div>
|
||||
</div>
|
||||
<div className="h-full w-full bg-gray-200 dark:bg-gray-900 p-4 gap-4 flex flex-row justify-center items-center">
|
||||
<div className="flex h-full w-full justify-evenly items-center">
|
||||
<ButtonBox
|
||||
deactivate
|
||||
bgColor="bg-slate-400"
|
||||
description="Prebuilt Examples"
|
||||
icon={
|
||||
<DocumentDuplicateIcon className="h-10 w-10 flex-shrink-0" />
|
||||
}
|
||||
onClick={() => console.log("sdsds")}
|
||||
textColor="text-slate-400"
|
||||
title="Examples"
|
||||
></ButtonBox>
|
||||
<ButtonBox
|
||||
bgColor="bg-blue-500"
|
||||
description="Import from Local"
|
||||
icon={
|
||||
<ComputerDesktopIcon className="h-10 w-10 flex-shrink-0" />
|
||||
}
|
||||
onClick={() => {uploadFlow();setModalOpen(false)}}
|
||||
textColor="text-blue-500"
|
||||
title="Local file"
|
||||
></ButtonBox>
|
||||
</div>
|
||||
<div
|
||||
className={classNames(
|
||||
"h-full w-full bg-gray-200 dark:bg-gray-900 gap-4",
|
||||
showExamples && !loadingExamples
|
||||
? "flex flex-row start justify-start items-start p-9 flex-wrap overflow-auto"
|
||||
: "flex flex-row justify-center items-center p-4"
|
||||
)}
|
||||
>
|
||||
{!showExamples && (
|
||||
<div className="flex h-full w-full justify-evenly items-center">
|
||||
<ButtonBox
|
||||
size="big"
|
||||
bgColor="bg-emerald-500"
|
||||
description="Prebuilt Examples"
|
||||
icon={
|
||||
<DocumentDuplicateIcon className="h-10 w-10 flex-shrink-0" />
|
||||
}
|
||||
onClick={() => {
|
||||
setShowExamples(true);
|
||||
handleExamples();
|
||||
}}
|
||||
textColor="text-emerald-400"
|
||||
title="Examples"
|
||||
></ButtonBox>
|
||||
<ButtonBox
|
||||
size="big"
|
||||
bgColor="bg-blue-500"
|
||||
description="Import from Local"
|
||||
icon={
|
||||
<ComputerDesktopIcon className="h-10 w-10 flex-shrink-0" />
|
||||
}
|
||||
onClick={() => {
|
||||
uploadFlow();
|
||||
setModalOpen(false);
|
||||
}}
|
||||
textColor="text-blue-500"
|
||||
title="Local file"
|
||||
></ButtonBox>
|
||||
</div>
|
||||
)}
|
||||
{showExamples && loadingExamples && (
|
||||
<div className="flex align-middle justify-center items-center">
|
||||
<LoadingComponent remSize={30} />
|
||||
</div>
|
||||
)}
|
||||
{showExamples &&
|
||||
!loadingExamples &&
|
||||
examples.map((example, index) => {
|
||||
return (
|
||||
<div id="index">
|
||||
{" "}
|
||||
<ButtonBox
|
||||
size="small"
|
||||
bgColor="bg-emerald-500"
|
||||
description={
|
||||
example.description ?? "Prebuilt Examples"
|
||||
}
|
||||
icon={
|
||||
<DocumentDuplicateIcon className="h-6 w-6 flex-shrink-0" />
|
||||
}
|
||||
onClick={() => {
|
||||
addFlow(example);
|
||||
setModalOpen(false);
|
||||
}}
|
||||
textColor="text-emerald-400"
|
||||
title={example.name}
|
||||
></ButtonBox>
|
||||
</div>
|
||||
);
|
||||
})}
|
||||
</div>
|
||||
|
||||
</div>
|
||||
</Dialog.Panel>
|
||||
</Transition.Child>
|
||||
|
|
|
|||
|
|
@ -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}
|
||||
<span className="w-32 truncate text-left">{flow.name}</span>
|
||||
|
||||
<button
|
||||
onClick={(e) => {
|
||||
e.stopPropagation();
|
||||
|
|
|
|||
|
|
@ -60,18 +60,18 @@ export default function TabsManagerComponent() {
|
|||
/>
|
||||
)
|
||||
}
|
||||
className="flex items-center gap-1 pr-2 border-gray-400 border-r text-sm text-gray-400 hover:text-gray-500"
|
||||
className="flex items-center gap-1 pr-2 border-gray-400 border-r text-sm text-gray-600 hover:text-gray-500"
|
||||
>
|
||||
Import <ArrowUpTrayIcon className="w-5 h-5" />
|
||||
</button>
|
||||
<button
|
||||
onClick={() =>openPopUp(<ExportModal/>)}
|
||||
className="flex items-center gap-1 mr-2 text-sm text-gray-400 hover:text-gray-500"
|
||||
className="flex items-center gap-1 mr-2 text-sm text-gray-600 hover:text-gray-500"
|
||||
>
|
||||
Export <ArrowDownTrayIcon className="h-5 w-5" />
|
||||
</button>
|
||||
<button
|
||||
className="text-gray-400 hover:text-gray-500 "
|
||||
className="text-gray-600 hover:text-gray-500 "
|
||||
onClick={() => {
|
||||
setDark(!dark);
|
||||
}}
|
||||
|
|
@ -83,7 +83,7 @@ export default function TabsManagerComponent() {
|
|||
)}
|
||||
</button>
|
||||
<button
|
||||
className="text-gray-400 hover:text-gray-500 relative"
|
||||
className="text-gray-600 hover:text-gray-500 relative"
|
||||
onClick={(event: React.MouseEvent<HTMLElement>) => {
|
||||
setNotificationCenter(false);
|
||||
const top = (event.target as Element).getBoundingClientRect().top;
|
||||
|
|
|
|||
|
|
@ -65,3 +65,17 @@ export type FloatComponentType = {
|
|||
disabled?: boolean;
|
||||
onChange: (value: string) => void;
|
||||
};
|
||||
|
||||
export type TooltipComponentType={children:ReactElement,title:string,placement?:
|
||||
| 'bottom-end'
|
||||
| 'bottom-start'
|
||||
| 'bottom'
|
||||
| 'left-end'
|
||||
| 'left-start'
|
||||
| 'left'
|
||||
| 'right-end'
|
||||
| 'right-start'
|
||||
| 'right'
|
||||
| 'top-end'
|
||||
| 'top-start'
|
||||
| 'top';}
|
||||
|
|
@ -6,7 +6,7 @@ export type TabsContextType = {
|
|||
setTabIndex: (index: number) => void;
|
||||
flows: Array<FlowType>;
|
||||
removeFlow: (id: string) => void;
|
||||
addFlow: (flowData?: any) => void;
|
||||
addFlow: (flowData?: FlowType) => void;
|
||||
updateFlow: (newFlow: FlowType) => void;
|
||||
incrementNodeId: () => number;
|
||||
downloadFlow: (flow:FlowType) => void;
|
||||
|
|
|
|||
|
|
@ -13,7 +13,8 @@ import {
|
|||
QuestionMarkCircleIcon,
|
||||
FingerPrintIcon,
|
||||
ScissorsIcon,
|
||||
CircleStackIcon
|
||||
CircleStackIcon,
|
||||
Squares2X2Icon
|
||||
} from "@heroicons/react/24/outline";
|
||||
import { Connection, Edge, Node, ReactFlowInstance } from "reactflow";
|
||||
import { FlowType } from "./types/flow";
|
||||
|
|
@ -85,6 +86,7 @@ export const nodeColors: {[char: string]: string} = {
|
|||
textsplitters: "#B47CB5",
|
||||
toolkits:"#DB2C2C",
|
||||
wrappers:"#E6277A",
|
||||
utilities:"#31A3CC",
|
||||
unknown:"#9CA3AF"
|
||||
};
|
||||
|
||||
|
|
@ -103,6 +105,7 @@ export const nodeNames:{[char: string]: string} = {
|
|||
toolkits:"Toolkits",
|
||||
wrappers:"Wrappers",
|
||||
textsplitters: "Text Splitters",
|
||||
utilities:"Utilities",
|
||||
unknown:"Unknown"
|
||||
};
|
||||
|
||||
|
|
@ -121,6 +124,7 @@ export const nodeIcons:{[char: string]: React.ForwardRefExoticComponent<React.SV
|
|||
toolkits:WrenchScrewdriverIcon,
|
||||
textsplitters:ScissorsIcon,
|
||||
wrappers:GiftIcon,
|
||||
utilities:Squares2X2Icon,
|
||||
unknown:QuestionMarkCircleIcon
|
||||
};
|
||||
|
||||
|
|
|
|||
|
|
@ -40,6 +40,6 @@ module.exports = {
|
|||
}
|
||||
}
|
||||
)
|
||||
})
|
||||
}),require('@tailwindcss/line-clamp')
|
||||
],
|
||||
}
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue