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"plugin:prettier/recommended"
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"react",
"import-helpers",
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fail_fast: true
repos:
- repo: https://github.com/pre-commit/mirrors-eslint
rev: "v9.1.1"
hooks:
- id: eslint
files: \.[jt]sx?$ # *.js, *.jsx, *.ts and *.tsx
types: [file]
args: ["--fix", "--no-warn-ignored"]
additional_dependencies:
- eslint@9.1.1
- eslint-plugin-prettier
- eslint-config-prettier
- prettier
- eslint-plugin-react@latest
- repo: https://github.com/pre-commit/pre-commit-hooks
rev: v4.1.0
hooks:
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- id: end-of-file-fixer
- id: mixed-line-ending
args:
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- id: pretty-format-json
exclude: ^tsconfig.*.json
args:
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# Ruff version.
rev: v0.4.2
hooks:
# Run the linter.
- id: ruff
# Python
files: \.py$
types: [file]
# Run the formatter.
- id: ruff-format
files: \.py$
types: [file]

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@ -135,6 +135,7 @@ frontendc:
install_backend:
@echo 'Installing backend dependencies'
@poetry install
@poetry run pre-commit install
backend:
@echo 'Setting up the environment'

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@ -47,7 +47,7 @@ If you expose all its fields, it will look like the image below.
style={{ width: "40%", margin: "20px auto" }}
/>
One key capability of the Chat Input component is how it transforms the Interaction Panel into a chat window. This feature is particularly useful for scenarios where user input is required to initiate or influence the flow.
One key capability of the Chat Input component is how it transforms the Playground into a chat window. This feature is particularly useful for scenarios where user input is required to initiate or influence the flow.
<ZoomableImage
alt="Docusaurus themed image"
@ -152,7 +152,7 @@ You can use a template like this: _`"Name: {name}, Age: {age}"`_ to convert the
style={{ width: "50%", margin: "20px auto" }}
/>
The Text Input component gives you the possibility to add an Input field on the Interaction Panel. This is useful because it allows you to define parameters while running and testing your flow.
The Text Input component gives you the possibility to add an Input field on the Playground. This is useful because it allows you to define parameters while running and testing your flow.
<ZoomableImage
alt="Docusaurus themed image"

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import ThemedImage from "@theme/ThemedImage";
import useBaseUrl from "@docusaurus/useBaseUrl";
import ZoomableImage from "/src/theme/ZoomableImage.js";
import Admonition from "@theme/Admonition";
# 🌟 RAG with Astra DB
This guide will walk you through how to build a RAG (Retrieval Augmented Generation) application using **Astra DB** and **Langflow**.
[Astra DB](https://www.datastax.com/products/datastax-astra?utm_source=langflow-pre-release&utm_medium=referral&utm_campaign=langflow-announcement&utm_content=astradb) is a cloud-native database built on Apache Cassandra that is optimized for the cloud. It is a fully managed database-as-a-service that simplifies operations and reduces costs. Astra DB is built on the same technology that powers the largest Cassandra deployments in the world.
In this guide, we will use Astra DB as a vector store to store and retrieve the documents that will be used by the RAG application to generate responses.
<Admonition type="tip">
This guide assumes that you have Langflow up and running. If you are new to
Langflow, you can check out the [Getting Started](/) guide.
</Admonition>
TLDR;
- [Create a free Astra DB account](https://astra.datastax.com/signup?utm_source=langflow-pre-release&utm_medium=referral&utm_campaign=langflow-announcement&utm_content=create-a-free-astra-db-account)
- Duplicate our [Langflow 1.0 Space](https://huggingface.co/spaces/Langflow/Langflow-Preview?duplicate=true)
- Create a new database, get a **Token** and the **API Endpoint**
- Click on the **New Project** button and look for Vector Store RAG. This will create a new project with the necessary components
- Import the project into Langflow by dropping it on the Canvas or My Collection page
- Update the **Token** and **API Endpoint** in the **Astra DB** components
- Update the OpenAI API key in the **OpenAI** components
- Run the ingestion flow which is the one that uses the **Astra DB** component
- Click on the ⚡ _Run_ button and start interacting with your RAG application
# First things first
## Create an Astra DB Database
To get started, you will need to [create an Astra DB database](https://astra.datastax.com/signup?utm_source=langflow-pre-release&utm_medium=referral&utm_campaign=langflow-announcement&utm_content=create-an-astradb-database).
Once you have created an account, you will be taken to the Astra DB dashboard. Click on the **Create Database** button.
<ZoomableImage
alt="Docusaurus themed image"
sources={{
light: "img/astra-create-database.png",
dark: "img/astra-create-database.png",
}}
style={{ width: "80%", margin: "20px auto" }}
/>
Now you will need to configure your database. Choose the **Serverless (Vector)** deployment type, and pick a Database name, provider and region.
After you have configured your database, click on the **Create Database** button.
<ZoomableImage
alt="Docusaurus themed image"
sources={{
light: "img/astra-configure-deployment.png",
dark: "img/astra-configure-deployment.png",
}}
style={{ width: "80%", margin: "20px auto" }}
/>
Once your database is initialized, to the right of the page, you will see the _Database Details_ section which contains a button for you to copy the **API Endpoint** and another to generate a **Token**.
<ZoomableImage
alt="Docusaurus themed image"
sources={{
light: "img/astra-generate-token.png",
dark: "img/astra-generate-token.png",
}}
style={{ width: "50%", margin: "20px auto" }}
/>
Now we are all set to start building our RAG application using Astra DB and Langflow.
## (Optional) Duplicate the Langflow 1.0 HuggingFace Space
If you haven't already, now is the time to launch Langflow. To make things easier, you can duplicate our [Langflow 1.0 Space](https://huggingface.co/spaces/Langflow/Langflow-Preview?duplicate=true) which sets up a Langflow instance just for you.
## Open the Vector Store RAG Project
To get started, click on the **New Project** button and look for the **Vector Store RAG** project. This will open a starter project with the necessary components to run a RAG application using Astra DB.
<ZoomableImage
alt="Docusaurus themed image"
sources={{
light: "img/drag-and-drop-flow.png",
dark: "img/drag-and-drop-flow.png",
}}
style={{ width: "80%", margin: "20px auto" }}
/>
This project consists of two flows. The simpler one is the **Ingestion Flow** which is responsible for ingesting the documents into the Astra DB database.
Your first step should be to understand what each flow does and how they interact with each other.
The ingestion flow consists of:
- **Files** component that uploads a text file to Langflow
- **Recursive Character Text Splitter** component that splits the text into smaller chunks
- **OpenAIEmbeddings** component that generates embeddings for the text chunks
- **Astra DB** component that stores the text chunks in the Astra DB database
<ZoomableImage
alt="Docusaurus themed image"
sources={{
light: "img/astra-ingestion-flow.png",
dark: "img/astra-ingestion-flow.png",
}}
style={{ width: "80%", margin: "20px auto" }}
/>
Now, let's update the **Astra DB** and **Astra DB Search** components with the **Token** and **API Endpoint** that we generated earlier, and the OpenAI Embeddings components with your OpenAI API key.
<ZoomableImage
alt="Docusaurus themed image"
sources={{
light: "img/astra-ingestion-fields.png",
dark: "img/astra-ingestion-fields.png",
}}
style={{ width: "80%", margin: "20px auto" }}
/>
And run it! This will ingest the Text data from your file into the Astra DB database.
<ZoomableImage
alt="Docusaurus themed image"
sources={{
light: "img/astra-ingestion-run.png",
dark: "img/astra-ingestion-run.png",
}}
style={{ width: "80%", margin: "20px auto" }}
/>
Now, on to the **RAG Flow**. This flow is responsible for generating responses to your queries. It will define all of the steps from getting the User's input to generating a response and displaying it in the Playground.
The RAG flow is a bit more complex. It consists of:
- **Chat Input** component that defines where to put the user input coming from the Playground
- **OpenAI Embeddings** component that generates embeddings from the user input
- **Astra DB Search** component that retrieves the most relevant Records from the Astra DB database
- **Text Output** component that turns the Records into Text by concatenating them and also displays it in the Playground
- One interesting point you'll see here is that this component is named `Extracted Chunks`, and that is how it will appear in the Playground
- **Prompt** component that takes in the user input and the retrieved Records as text and builds a prompt for the OpenAI model
- **OpenAI** component that generates a response to the prompt
- **Chat Output** component that displays the response in the Playground
<ZoomableImage
alt="Docusaurus themed image"
sources={{
light: "img/astra-rag-flow.png",
dark: "img/astra-rag-flow.png",
}}
style={{ width: "80%", margin: "20px auto" }}
/>
To run it all we have to do is click on the ⚡ _Run_ button and start interacting with your RAG application.
<ZoomableImage
alt="Docusaurus themed image"
sources={{
light: "img/astra-rag-flow-run.png",
dark: "img/astra-rag-flow-run.png",
}}
style={{ width: "80%", margin: "20px auto" }}
/>
This opens the Playground where you can chat your data.
Because this flow has a **Chat Input** and a **Text Output** component, the Panel displays a chat input at the bottom and the Extracted Chunks section on the left.
<ZoomableImage
alt="Docusaurus themed image"
sources={{
light: "img/astra-rag-flow-interaction-panel.png",
dark: "img/astra-rag-flow-interaction-panel.png",
}}
style={{ width: "80%", margin: "20px auto" }}
/>
Once we interact with it we get a response and the Extracted Chunks section is updated with the retrieved records.
<ZoomableImage
alt="Docusaurus themed image"
sources={{
light: "img/astra-rag-flow-interaction-panel-interaction.png",
dark: "img/astra-rag-flow-interaction-panel-interaction.png",
}}
style={{ width: "80%", margin: "20px auto" }}
/>
And that's it! You have successfully ran a RAG application using Astra DB and Langflow.
# Conclusion
In this guide, we have learned how to run a RAG application using Astra DB and Langflow.
We have seen how to create an Astra DB database, import the Astra DB RAG Flows project into Langflow, and run the ingestion and RAG flows.

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@ -22,17 +22,17 @@ Its intuitive interface allows for easy manipulation of AI building blocks, enab
## 🚀 First steps
* [Install Langflow](/getting-started/install-langflow) - Install and start a local Langflow server.
- [Install Langflow](/getting-started/install-langflow) - Install and start a local Langflow server.
* [Quickstart](/getting-started/quickstart) - Create a flow and run it.
- [Quickstart](/getting-started/quickstart) - Create a flow and run it.
* [HuggingFace Spaces](/getting-started/huggingface-spaces) - Duplicate the Langflow preview space and try it out before you install.
- [HuggingFace Spaces](/getting-started/huggingface-spaces) - Duplicate the Langflow preview space and try it out before you install.
* [New to LLMs?](/getting-started/new-to-llms) - Learn more about LLMs, prompting, and more at [promptingguide.ai](https://promptingguide.ai).
- [New to LLMs?](/getting-started/new-to-llms) - Learn more about LLMs, prompting, and more at [promptingguide.ai](https://promptingguide.ai).
## Learn more about Langflow 1.0
Learn more about the exciting changes in Langflow 1.0, and how to migrate your existing Langflow projects.
* [A new chapter for Langflow](/whats-new/a-new-chapter-langflow)
* [Migration guides](/migration/migrating-to-one-point-zero)
- [A new chapter for Langflow](/whats-new/a-new-chapter-langflow)
- [Migration guides](/migration/migrating-to-one-point-zero)

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@ -1,7 +1,7 @@
# Inputs and Outputs
TL;DR: Inputs and Outputs are a category of components that are used to define where data comes in and out of your flow. They also
dynamically change the Interaction Panel and can be renamed to make it easier to build and maintain your flows.
dynamically change the Playground and can be renamed to make it easier to build and maintain your flows.
## Introduction
@ -10,8 +10,8 @@ Langflow 1.0 introduces new categories of components called Inputs and Outputs.
Let's start with what they have in common:
- Components in these categories connect to components that have Text or Record inputs or outputs. Some can connect to both but you have to pick what type of data you want to output or input.
- They can be renamed to help you identify them more easily in the Interaction Panel and while using the API.
- They dynamically change the Interaction Panel to make it easier to understand and interact with your flows.
- They can be renamed to help you identify them more easily in the Playground and while using the API.
- They dynamically change the Playground to make it easier to understand and interact with your flows.
Native Langflow Components were created to be powerful tools that work around Langflow's features. They are designed to be easy to use and understand, and to help you build your flows faster.
@ -21,7 +21,7 @@ Let's dive into Inputs and Outputs.
Inputs are components that are used to define where data comes into your flow. They can be used to receive data from the user, from a database, or from any other source that can be converted to Text or Record.
The difference between Chat Input and other Input components is the format of the output, the number of configurable fields, and the way they are displayed in the Interaction Panel.
The difference between Chat Input and other Input components is the format of the output, the number of configurable fields, and the way they are displayed in the Playground.
Chat Input components can output Text or Record. When you want to pass the sender name, or sender to the next component, you can use the Record output, and when you want to pass the message only you can use the Text output. This is useful when saving the message to a database or a memory system like Zep.
@ -29,7 +29,7 @@ You can find out more about it and the other Inputs [here](../components/inputs)
## Outputs
Outputs are components that are used to define where data comes out of your flow. They can be used to send data to the user, to the Interaction Panel, or to define how the data will be displayed in the Interaction Panel.
Outputs are components that are used to define where data comes out of your flow. They can be used to send data to the user, to the Playground, or to define how the data will be displayed in the Playground.
The Chat Output works similarly to the Chat Input but does not have a field that allows for written input. It is used as an Output definition and can be used to send data to the user.

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@ -55,7 +55,7 @@ Langflow 1.0 continues to support LangChain while also introducing support for m
**Guide coming soon**
## Sidebar Redesign and Customizable Interaction Panel
## Sidebar Redesign and Customizable Playground
We've expanded on the chat experience by creating a customizable interaction panel that allows you to design a panel that fits your needs and interact with it. The sidebar has also been redesigned to provide a more intuitive and user-friendly experience. Explore the new sidebar and interaction panel features to enhance your workflow.

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@ -121,18 +121,18 @@ And run it! This will ingest the Text data from your file into the Astra DB data
style={{ width: "80%", margin: "20px auto" }}
/>
Now, on to the **RAG Flow**. This flow is responsible for generating responses to your queries. It will define all of the steps from getting the User's input to generating a response and displaying it in the Interaction Panel.
Now, on to the **RAG Flow**. This flow is responsible for generating responses to your queries. It will define all of the steps from getting the User's input to generating a response and displaying it in the Playground.
The RAG flow is a bit more complex. It consists of:
- **Chat Input** component that defines where to put the user input coming from the Interaction Panel
- **Chat Input** component that defines where to put the user input coming from the Playground
- **OpenAI Embeddings** component that generates embeddings from the user input
- **Astra DB Search** component that retrieves the most relevant Records from the Astra DB database
- **Text Output** component that turns the Records into Text by concatenating them and also displays it in the Interaction Panel
- One interesting point you'll see here is that this component is named `Extracted Chunks`, and that is how it will appear in the Interaction Panel
- **Text Output** component that turns the Records into Text by concatenating them and also displays it in the Playground
- One interesting point you'll see here is that this component is named `Extracted Chunks`, and that is how it will appear in the Playground
- **Prompt** component that takes in the user input and the retrieved Records as text and builds a prompt for the OpenAI model
- **OpenAI** component that generates a response to the prompt
- **Chat Output** component that displays the response in the Interaction Panel
- **Chat Output** component that displays the response in the Playground
<ZoomableImage
alt="Docusaurus themed image"
@ -154,7 +154,7 @@ To run it all we have to do is click on the ⚡ _Run_ button and start interacti
style={{ width: "80%", margin: "20px auto" }}
/>
This opens the Interaction Panel where you can chat your data.
This opens the Playground where you can chat your data.
Because this flow has a **Chat Input** and a **Text Output** component, the Panel displays a chat input at the bottom and the Extracted Chunks section on the left.

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docs/docs/whats-new/a-new-chapter-langflow.mdx
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@ -36,18 +36,18 @@ The caveat is existing projects may need some new Components to get them back to
## Custom Interactions
The moment we decided to make this change, we saw the potential to make Langflow even more yours.
By having a clear definition of Inputs and Outputs, we could build the experience around that which led us to create the **Interaction Panel**.
By having a clear definition of Inputs and Outputs, we could build the experience around that which led us to create the **Playground**.
When building a project testing and debugging is crucial. The Interaction Panel is a tool that changes dynamically based on the Inputs and Outputs you defined in your project.
When building a project testing and debugging is crucial. The Playground is a tool that changes dynamically based on the Inputs and Outputs you defined in your project.
For example, let's say you are building a simple RAG application. Generally, you have an Input, some references that come from a Vector Store Search, a Prompt and the answer.
Now, you could plug the output of your Prompt into a [Text Output](../components/outputs#Text-Output), rename that to "Prompt Result" and see the output of your Prompt in the Interaction Panel.
Now, you could plug the output of your Prompt into a [Text Output](../components/outputs#Text-Output), rename that to "Prompt Result" and see the output of your Prompt in the Playground.
{/* Add image here of the described above */}
This is just one example of how the Interaction Panel can help you build and debug your projects.
This is just one example of how the Playground can help you build and debug your projects.
We have many planned features for the Interaction Panel, and we're excited to see how you use it and what you think of it.
We have many planned features for the Playground, and we're excited to see how you use it and what you think of it.
## An easier start

12
docs/static/data/AstraDB-RAG-Flows.json vendored
View file

@ -20,7 +20,7 @@
"list": false,
"show": true,
"multiline": true,
"value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatInput(ChatComponent):\n display_name = \"Chat Input\"\n description = \"Get chat inputs from the Interaction Panel.\"\n icon = \"ChatInput\"\n\n def build_config(self):\n build_config = super().build_config()\n build_config[\"input_value\"] = {\n \"input_types\": [],\n \"display_name\": \"Message\",\n \"multiline\": True,\n }\n\n return build_config\n\n def build(\n self,\n sender: Optional[str] = \"User\",\n sender_name: Optional[str] = \"User\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n ) -> Union[Text, Record]:\n return super().build(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n )\n",
"value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatInput(ChatComponent):\n display_name = \"Chat Input\"\n description = \"Get chat inputs from the Playground.\"\n icon = \"ChatInput\"\n\n def build_config(self):\n build_config = super().build_config()\n build_config[\"input_value\"] = {\n \"input_types\": [],\n \"display_name\": \"Message\",\n \"multiline\": True,\n }\n\n return build_config\n\n def build(\n self,\n sender: Optional[str] = \"User\",\n sender_name: Optional[str] = \"User\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n ) -> Union[Text, Record]:\n return super().build(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n )\n",
"fileTypes": [],
"file_path": "",
"password": false,
@ -141,7 +141,7 @@
},
"_type": "CustomComponent"
},
"description": "Get chat inputs from the Interaction Panel.",
"description": "Get chat inputs from the Playground.",
"icon": "ChatInput",
"base_classes": [
"Text",
@ -214,7 +214,7 @@
"list": false,
"show": true,
"multiline": true,
"value": "from typing import Optional\n\nfrom langflow.base.io.text import TextComponent\nfrom langflow.field_typing import Text\n\n\nclass TextOutput(TextComponent):\n display_name = \"Text Output\"\n description = \"Display a text output in the Interaction Panel.\"\n icon = \"type\"\n\n def build_config(self):\n return {\n \"input_value\": {\n \"display_name\": \"Value\",\n \"input_types\": [\"Record\", \"Text\"],\n \"info\": \"Text or Record to be passed as output.\",\n },\n \"record_template\": {\n \"display_name\": \"Record Template\",\n \"multiline\": True,\n \"info\": \"Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.\",\n \"advanced\": True,\n },\n }\n\n def build(self, input_value: Optional[Text] = \"\", record_template: str = \"\") -> Text:\n return super().build(input_value=input_value, record_template=record_template)\n",
"value": "from typing import Optional\n\nfrom langflow.base.io.text import TextComponent\nfrom langflow.field_typing import Text\n\n\nclass TextOutput(TextComponent):\n display_name = \"Text Output\"\n description = \"Display a text output in the Playground.\"\n icon = \"type\"\n\n def build_config(self):\n return {\n \"input_value\": {\n \"display_name\": \"Value\",\n \"input_types\": [\"Record\", \"Text\"],\n \"info\": \"Text or Record to be passed as output.\",\n },\n \"record_template\": {\n \"display_name\": \"Record Template\",\n \"multiline\": True,\n \"info\": \"Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.\",\n \"advanced\": True,\n },\n }\n\n def build(self, input_value: Optional[Text] = \"\", record_template: str = \"\") -> Text:\n return super().build(input_value=input_value, record_template=record_template)\n",
"fileTypes": [],
"file_path": "",
"password": false,
@ -249,7 +249,7 @@
},
"_type": "CustomComponent"
},
"description": "Display a text output in the Interaction Panel.",
"description": "Display a text output in the Playground.",
"icon": "type",
"base_classes": [
"object",
@ -1255,7 +1255,7 @@
"list": false,
"show": true,
"multiline": true,
"value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Interaction Panel.\"\n icon = \"ChatOutput\"\n\n def build(\n self,\n sender: Optional[str] = \"Machine\",\n sender_name: Optional[str] = \"AI\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n record_template: Optional[str] = \"{text}\",\n ) -> Union[Text, Record]:\n return super().build(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n record_template=record_template,\n )\n",
"value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n\n def build(\n self,\n sender: Optional[str] = \"Machine\",\n sender_name: Optional[str] = \"AI\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n record_template: Optional[str] = \"{text}\",\n ) -> Union[Text, Record]:\n return super().build(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n record_template=record_template,\n )\n",
"fileTypes": [],
"file_path": "",
"password": false,
@ -1399,7 +1399,7 @@
},
"_type": "CustomComponent"
},
"description": "Display a chat message in the Interaction Panel.",
"description": "Display a chat message in the Playground.",
"icon": "ChatOutput",
"base_classes": [
"object",

0
src/frontend/src/modals/NodeModal/components/ModalField/index.tsx → eslint.config.js
View file

396
poetry.lock generated
View file

@ -469,17 +469,17 @@ files = [
[[package]]
name = "boto3"
version = "1.34.95"
version = "1.34.96"
description = "The AWS SDK for Python"
optional = false
python-versions = ">=3.8"
files = [
{file = "boto3-1.34.95-py3-none-any.whl", hash = "sha256:e836b71d79671270fccac0a4d4c8ec239a6b82ea47c399b64675aa597d0ee63b"},
{file = "boto3-1.34.95.tar.gz", hash = "sha256:decf52f8d5d8a1b10c9ff2a0e96ee207ed79e33d2e53fdf0880a5cbef70785e0"},
{file = "boto3-1.34.96-py3-none-any.whl", hash = "sha256:fe3d039631074a96374a354764641b6623036b6ea15381b8a04ac0a193b8c1e0"},
{file = "boto3-1.34.96.tar.gz", hash = "sha256:42ea7d46688e7cb27259780b9da2cddcfaf2763ff5d327f4d54eac12edba8e72"},
]
[package.dependencies]
botocore = ">=1.34.95,<1.35.0"
botocore = ">=1.34.96,<1.35.0"
jmespath = ">=0.7.1,<2.0.0"
s3transfer = ">=0.10.0,<0.11.0"
@ -488,13 +488,13 @@ crt = ["botocore[crt] (>=1.21.0,<2.0a0)"]
[[package]]
name = "botocore"
version = "1.34.95"
version = "1.34.96"
description = "Low-level, data-driven core of boto 3."
optional = false
python-versions = ">=3.8"
files = [
{file = "botocore-1.34.95-py3-none-any.whl", hash = "sha256:ead5823e0dd6751ece5498cb979fd9abf190e691c8833bcac6876fd6ca261fa7"},
{file = "botocore-1.34.95.tar.gz", hash = "sha256:6bd76a2eadb42b91fa3528392e981ad5b4dfdee3968fa5b904278acf6cbf15ff"},
{file = "botocore-1.34.96-py3-none-any.whl", hash = "sha256:4c307f5772286f1ab58a91220ea8e180416a2ea0cc7e76983a6984e4ef8c212d"},
{file = "botocore-1.34.96.tar.gz", hash = "sha256:00e917cd8152d902a4771b9e1e4d0cf1ee096c90027ee35f2a76b6d394e2ada5"},
]
[package.dependencies]
@ -828,6 +828,17 @@ files = [
[package.dependencies]
pycparser = "*"
[[package]]
name = "cfgv"
version = "3.4.0"
description = "Validate configuration and produce human readable error messages."
optional = false
python-versions = ">=3.8"
files = [
{file = "cfgv-3.4.0-py2.py3-none-any.whl", hash = "sha256:b7265b1f29fd3316bfcd2b330d63d024f2bfd8bcb8b0272f8e19a504856c48f9"},
{file = "cfgv-3.4.0.tar.gz", hash = "sha256:e52591d4c5f5dead8e0f673fb16db7949d2cfb3f7da4582893288f0ded8fe560"},
]
[[package]]
name = "chardet"
version = "5.2.0"
@ -1604,6 +1615,17 @@ files = [
{file = "diskcache-5.6.3.tar.gz", hash = "sha256:2c3a3fa2743d8535d832ec61c2054a1641f41775aa7c556758a109941e33e4fc"},
]
[[package]]
name = "distlib"
version = "0.3.8"
description = "Distribution utilities"
optional = false
python-versions = "*"
files = [
{file = "distlib-0.3.8-py2.py3-none-any.whl", hash = "sha256:034db59a0b96f8ca18035f36290806a9a6e6bd9d1ff91e45a7f172eb17e51784"},
{file = "distlib-0.3.8.tar.gz", hash = "sha256:1530ea13e350031b6312d8580ddb6b27a104275a31106523b8f123787f494f64"},
]
[[package]]
name = "distro"
version = "1.9.0"
@ -3143,6 +3165,20 @@ files = [
{file = "hyperframe-6.0.1.tar.gz", hash = "sha256:ae510046231dc8e9ecb1a6586f63d2347bf4c8905914aa84ba585ae85f28a914"},
]
[[package]]
name = "identify"
version = "2.5.36"
description = "File identification library for Python"
optional = false
python-versions = ">=3.8"
files = [
{file = "identify-2.5.36-py2.py3-none-any.whl", hash = "sha256:37d93f380f4de590500d9dba7db359d0d3da95ffe7f9de1753faa159e71e7dfa"},
{file = "identify-2.5.36.tar.gz", hash = "sha256:e5e00f54165f9047fbebeb4a560f9acfb8af4c88232be60a488e9b68d122745d"},
]
[package.extras]
license = ["ukkonen"]
[[package]]
name = "idna"
version = "3.7"
@ -3671,13 +3707,13 @@ adal = ["adal (>=1.0.2)"]
[[package]]
name = "langchain"
version = "0.1.16"
version = "0.1.17"
description = "Building applications with LLMs through composability"
optional = false
python-versions = "<4.0,>=3.8.1"
files = [
{file = "langchain-0.1.16-py3-none-any.whl", hash = "sha256:bc074cc5e51fad79b9ead1572fc3161918d0f614a6c8f0460543d505ad249ac7"},
{file = "langchain-0.1.16.tar.gz", hash = "sha256:b6bce78f8c071baa898884accfff15c3d81da2f0dd86c20e2f4c80b41463f49f"},
{file = "langchain-0.1.17-py3-none-any.whl", hash = "sha256:f6c5b5fdb529545e6cafbb4ba099031508e621ba1ed7985cf078a597ade3458b"},
{file = "langchain-0.1.17.tar.gz", hash = "sha256:709b80afa00ae634dfc7042f3e4c20309267b21ffeacc7d7494d58bcae1862f7"},
]
[package.dependencies]
@ -3685,8 +3721,8 @@ aiohttp = ">=3.8.3,<4.0.0"
async-timeout = {version = ">=4.0.0,<5.0.0", markers = "python_version < \"3.11\""}
dataclasses-json = ">=0.5.7,<0.7"
jsonpatch = ">=1.33,<2.0"
langchain-community = ">=0.0.32,<0.1"
langchain-core = ">=0.1.42,<0.2.0"
langchain-community = ">=0.0.36,<0.1"
langchain-core = ">=0.1.48,<0.2.0"
langchain-text-splitters = ">=0.0.1,<0.1"
langsmith = ">=0.1.17,<0.2.0"
numpy = ">=1,<2"
@ -3759,19 +3795,19 @@ langchain-core = ">=0.1.42,<0.2.0"
[[package]]
name = "langchain-community"
version = "0.0.35"
version = "0.0.36"
description = "Community contributed LangChain integrations."
optional = false
python-versions = "<4.0,>=3.8.1"
files = [
{file = "langchain_community-0.0.35-py3-none-any.whl", hash = "sha256:296c47dcddf8c3c565f41240dc21421620f309ae24db762a5bdaf0c19cbb01ef"},
{file = "langchain_community-0.0.35.tar.gz", hash = "sha256:0f8726d9f8e1f369ae1b0c7ec738403063009a78ecb58860d21e5388e238ff0c"},
{file = "langchain_community-0.0.36-py3-none-any.whl", hash = "sha256:439ae85e01d852ba8388923d8e2a71121efdc2eea3dc1ce27d28741189f1ea75"},
{file = "langchain_community-0.0.36.tar.gz", hash = "sha256:97be9d00cf119c961e03ed226e04e670f51b5d42f5b05ffc3518598fa6d20c74"},
]
[package.dependencies]
aiohttp = ">=3.8.3,<4.0.0"
dataclasses-json = ">=0.5.7,<0.7"
langchain-core = ">=0.1.47,<0.2.0"
langchain-core = ">=0.1.48,<0.2.0"
langsmith = ">=0.1.0,<0.2.0"
numpy = ">=1,<2"
PyYAML = ">=5.3"
@ -3785,13 +3821,13 @@ extended-testing = ["aiosqlite (>=0.19.0,<0.20.0)", "aleph-alpha-client (>=2.15.
[[package]]
name = "langchain-core"
version = "0.1.47"
version = "0.1.49"
description = "Building applications with LLMs through composability"
optional = false
python-versions = "<4.0,>=3.8.1"
files = [
{file = "langchain_core-0.1.47-py3-none-any.whl", hash = "sha256:ebf12ca25cbdfedd8a61dbdb60f47283bb1bdfc39b5f01d3b76bb36fdbe4a1e8"},
{file = "langchain_core-0.1.47.tar.gz", hash = "sha256:d97d6927a4b22acbc2d0e731b3580890551256fa5dde775ef6beb72beb1a6015"},
{file = "langchain_core-0.1.49-py3-none-any.whl", hash = "sha256:4250bfa1861f4c1df3c911b40a974be4df291e1e9057a673fff65895320fdc7d"},
{file = "langchain_core-0.1.49.tar.gz", hash = "sha256:04f1e9f25656b98f35d5de9336ea2d1becb576184929a11036c71127caf0dca8"},
]
[package.dependencies]
@ -3843,13 +3879,13 @@ images = ["pillow (>=10.1.0,<11.0.0)"]
[[package]]
name = "langchain-openai"
version = "0.1.4"
version = "0.1.5"
description = "An integration package connecting OpenAI and LangChain"
optional = false
python-versions = "<4.0,>=3.8.1"
files = [
{file = "langchain_openai-0.1.4-py3-none-any.whl", hash = "sha256:a349ada8724921e380aab03ee312568f5ca99adbc806f6878d79ff9cd1d6d353"},
{file = "langchain_openai-0.1.4.tar.gz", hash = "sha256:1a3220464c270d73ea3987010617789adc2099d4d4740b15c7734ab07e1f054b"},
{file = "langchain_openai-0.1.5-py3-none-any.whl", hash = "sha256:8789af68afe747fd05acbe5190e5f0f17cbcce4c07bc58f0584f169318ed9f1c"},
{file = "langchain_openai-0.1.5.tar.gz", hash = "sha256:c161890f871f8675eb633dcebb53173527045996468ed9d393ed892448408ab1"},
]
[package.dependencies]
@ -3960,17 +3996,17 @@ url = "src/backend/base"
[[package]]
name = "langfuse"
version = "2.27.3"
version = "2.28.2"
description = "A client library for accessing langfuse"
optional = false
python-versions = "<4.0,>=3.8.1"
files = [
{file = "langfuse-2.27.3-py3-none-any.whl", hash = "sha256:e5522abac56cb64b08fdcfc8a81317cb322b361cbd693f3fd7a19200e1fe5efc"},
{file = "langfuse-2.27.3.tar.gz", hash = "sha256:4d6b9434702c3d729a8b898f07e6065a8026ba568bdae603813b4f0678a17884"},
{file = "langfuse-2.28.2-py3-none-any.whl", hash = "sha256:0faf14051a5cf1ca36a35ef73a0b4f0030157733b3e93dc092957fa95a8d8e90"},
{file = "langfuse-2.28.2.tar.gz", hash = "sha256:217c1a43117b8952b9135bb927636f11d5a883ee09acc90b5d7e70d43bf8d30f"},
]
[package.dependencies]
backoff = ">=2.2.1,<3.0.0"
backoff = ">=1.10.0"
httpx = ">=0.15.4,<1.0"
idna = ">=3.7,<4.0"
packaging = ">=23.2,<24.0"
@ -3984,13 +4020,13 @@ openai = ["openai (>=0.27.8)"]
[[package]]
name = "langsmith"
version = "0.1.52"
version = "0.1.53"
description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
optional = false
python-versions = "<4.0,>=3.8.1"
files = [
{file = "langsmith-0.1.52-py3-none-any.whl", hash = "sha256:4518e269b9a0e10197550f050b6518d1276fe68732f7b8579b3e1302b8471d29"},
{file = "langsmith-0.1.52.tar.gz", hash = "sha256:f767fddb13c794bea7cc827a77f050a8a1c075ab1d997eb37849b975b0eef1b0"},
{file = "langsmith-0.1.53-py3-none-any.whl", hash = "sha256:867f9c4176f92e019398dda22a210db68c98a810234a5266cf4609236dcd3043"},
{file = "langsmith-0.1.53.tar.gz", hash = "sha256:0ac271080fb67806f1b2c5de0e7c698c45a57b18b5d46e984e9b15dd38f0bc42"},
]
[package.dependencies]
@ -4017,13 +4053,13 @@ regex = ["regex"]
[[package]]
name = "litellm"
version = "1.35.32"
version = "1.35.35"
description = "Library to easily interface with LLM API providers"
optional = false
python-versions = "!=2.7.*,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,!=3.7.*,>=3.8"
files = [
{file = "litellm-1.35.32-py3-none-any.whl", hash = "sha256:4c05b90124420e64d4a59a4b94d6b53eb679859cd064e7e59bd152a29cda1cb1"},
{file = "litellm-1.35.32.tar.gz", hash = "sha256:2ccc0f979c287404ec07c6b4b06254eba88f2ca1fca4cad12591ec89795db248"},
{file = "litellm-1.35.35-py3-none-any.whl", hash = "sha256:9dcf4a1fbdb1864de03f2fbcc26cc19ee83449966ad0b373b1d61f64ade963f7"},
{file = "litellm-1.35.35.tar.gz", hash = "sha256:f8873892f4a2f082e2f5f4fed5740f341b7d1a7778445785b2af68adbc2793e9"},
]
[package.dependencies]
@ -4043,12 +4079,12 @@ proxy = ["PyJWT (>=2.8.0,<3.0.0)", "apscheduler (>=3.10.4,<4.0.0)", "backoff", "
[[package]]
name = "llama-cpp-python"
version = "0.2.68"
version = "0.2.69"
description = "Python bindings for the llama.cpp library"
optional = true
python-versions = ">=3.8"
files = [
{file = "llama_cpp_python-0.2.68.tar.gz", hash = "sha256:737f2136c5f6fa1b0451f600c91ae2abe066edc7515937ca56efa4a648fdc71e"},
{file = "llama_cpp_python-0.2.69.tar.gz", hash = "sha256:b37e864b4d9f7ac286a3e926d87afab2f136ae9290e11088f7a205b80d3c04a9"},
]
[package.dependencies]
@ -4295,13 +4331,13 @@ llama-index-program-openai = ">=0.1.1,<0.2.0"
[[package]]
name = "llama-index-readers-file"
version = "0.1.19"
version = "0.1.20"
description = "llama-index readers file integration"
optional = false
python-versions = "<4.0,>=3.8.1"
files = [
{file = "llama_index_readers_file-0.1.19-py3-none-any.whl", hash = "sha256:25eb6d066dc38753de435e876ef8511c68d84102302c053b7dcb0776db68fced"},
{file = "llama_index_readers_file-0.1.19.tar.gz", hash = "sha256:194c1b9b85c265159b7302c7d80adba937aab06f05c170af7fd95c4e7a8aec35"},
{file = "llama_index_readers_file-0.1.20-py3-none-any.whl", hash = "sha256:055999f86ad11130445bfe10c0886ddecb63e1b727678ab4ba58602282443289"},
{file = "llama_index_readers_file-0.1.20.tar.gz", hash = "sha256:1258c016bc8ee1efe37a3b081384ba47dbca13b92c205d3154ba235fc09cc2fb"},
]
[package.dependencies]
@ -4701,13 +4737,13 @@ files = [
[[package]]
name = "marshmallow"
version = "3.21.1"
version = "3.21.2"
description = "A lightweight library for converting complex datatypes to and from native Python datatypes."
optional = false
python-versions = ">=3.8"
files = [
{file = "marshmallow-3.21.1-py3-none-any.whl", hash = "sha256:f085493f79efb0644f270a9bf2892843142d80d7174bbbd2f3713f2a589dc633"},
{file = "marshmallow-3.21.1.tar.gz", hash = "sha256:4e65e9e0d80fc9e609574b9983cf32579f305c718afb30d7233ab818571768c3"},
{file = "marshmallow-3.21.2-py3-none-any.whl", hash = "sha256:70b54a6282f4704d12c0a41599682c5c5450e843b9ec406308653b47c59648a1"},
{file = "marshmallow-3.21.2.tar.gz", hash = "sha256:82408deadd8b33d56338d2182d455db632c6313aa2af61916672146bb32edc56"},
]
[package.dependencies]
@ -4715,7 +4751,7 @@ packaging = ">=17.0"
[package.extras]
dev = ["marshmallow[tests]", "pre-commit (>=3.5,<4.0)", "tox"]
docs = ["alabaster (==0.7.16)", "autodocsumm (==0.2.12)", "sphinx (==7.2.6)", "sphinx-issues (==4.0.0)", "sphinx-version-warning (==1.1.2)"]
docs = ["alabaster (==0.7.16)", "autodocsumm (==0.2.12)", "sphinx (==7.3.7)", "sphinx-issues (==4.1.0)", "sphinx-version-warning (==1.1.2)"]
tests = ["pytest", "pytz", "simplejson"]
[[package]]
@ -4977,13 +5013,13 @@ files = [
[[package]]
name = "msoffcrypto-tool"
version = "5.3.1"
description = "Python tool and library for decrypting MS Office files with passwords or other keys"
version = "5.4.0"
description = "Python tool and library for decrypting and encrypting MS Office files using a password or other keys"
optional = false
python-versions = ">=3.8,<4.0"
python-versions = "<4.0,>=3.8"
files = [
{file = "msoffcrypto_tool-5.3.1-py3-none-any.whl", hash = "sha256:4e44c10e38ca06d0ea511a31ee8834bfdedaf304b1369a0d3919db4f495dd5e4"},
{file = "msoffcrypto_tool-5.3.1.tar.gz", hash = "sha256:f800ff133b9a753dfedff6a37b0f79bfeb8cc6856487b91dd486110c7d4f4099"},
{file = "msoffcrypto_tool-5.4.0-py3-none-any.whl", hash = "sha256:0e39319f982c22a449505e5ab7da18a8ae76376a0008e180e1528a0875525da7"},
{file = "msoffcrypto_tool-5.4.0.tar.gz", hash = "sha256:0f5f45d91d1eaa2ca0b3adefb5aac4932afb50c678dfa8d7da390d187f1dac39"},
]
[package.dependencies]
@ -5229,6 +5265,20 @@ plot = ["matplotlib"]
tgrep = ["pyparsing"]
twitter = ["twython"]
[[package]]
name = "nodeenv"
version = "1.8.0"
description = "Node.js virtual environment builder"
optional = false
python-versions = ">=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*"
files = [
{file = "nodeenv-1.8.0-py2.py3-none-any.whl", hash = "sha256:df865724bb3c3adc86b3876fa209771517b0cfe596beff01a92700e0e8be4cec"},
{file = "nodeenv-1.8.0.tar.gz", hash = "sha256:d51e0c37e64fbf47d017feac3145cdbb58836d7eee8c6f6d3b6880c5456227d2"},
]
[package.dependencies]
setuptools = "*"
[[package]]
name = "numexpr"
version = "2.10.0"
@ -5553,13 +5603,13 @@ sympy = "*"
[[package]]
name = "openai"
version = "1.24.1"
version = "1.25.1"
description = "The official Python library for the openai API"
optional = false
python-versions = ">=3.7.1"
files = [
{file = "openai-1.24.1-py3-none-any.whl", hash = "sha256:52fe59418bec5f6ec80dd8c523a5cce82ce6237b1712f1399eeaa8503f925ed7"},
{file = "openai-1.24.1.tar.gz", hash = "sha256:0b790ce01e6a51daac866d85f76a59ca7a17b2c4c35991542e24a0b40356fb63"},
{file = "openai-1.25.1-py3-none-any.whl", hash = "sha256:aa2f381f476f5fa4df8728a34a3e454c321caa064b7b68ab6e9daa1ed082dbf9"},
{file = "openai-1.25.1.tar.gz", hash = "sha256:f561ce86f4b4008eb6c78622d641e4b7e1ab8a8cdb15d2f0b2a49942d40d21a8"},
]
[package.dependencies]
@ -6215,6 +6265,24 @@ dev = ["black", "flake8", "flake8-print", "isort", "pre-commit"]
sentry = ["django", "sentry-sdk"]
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{file = "supabase-2.4.3.tar.gz", hash = "sha256:ee9a5db8ecc3de20fe8351b0d3bc7667809095322915cea753f83db310494001"},
{file = "supabase-2.4.5-py3-none-any.whl", hash = "sha256:100441c36bf3390b040818c636c372a91645d18b6a9e0c12cea061fb00db664c"},
{file = "supabase-2.4.5.tar.gz", hash = "sha256:8520b5a194c6d8fdbdd71b45aefc8b5a42d1a6711a2c693b6d299aeb785e8532"},
]
[package.dependencies]
@ -9541,13 +9609,13 @@ test = ["Cython (>=0.29.36,<0.30.0)", "aiohttp (==3.9.0b0)", "aiohttp (>=3.8.1)"
[[package]]
name = "validators"
version = "0.28.0"
version = "0.28.1"
description = "Python Data Validation for Humans™"
optional = false
python-versions = ">=3.8"
files = [
{file = "validators-0.28.0-py3-none-any.whl", hash = "sha256:e0184691dea3ba82b52c161ba81d3ec1d8be8da9609f0137d1430b395b366521"},
{file = "validators-0.28.0.tar.gz", hash = "sha256:85bc82511f6ccd0800f4c15d8c0dc546c15e369640c5ea1f24349ba0b3b17815"},
{file = "validators-0.28.1-py3-none-any.whl", hash = "sha256:890c98789ad884037f059af6ea915ec2d667129d509180c2c590b8009a4c4219"},
{file = "validators-0.28.1.tar.gz", hash = "sha256:5ac88e7916c3405f0ce38ac2ac82a477fcf4d90dbbeddd04c8193171fc17f7dc"},
]
[[package]]
@ -9561,6 +9629,26 @@ files = [
{file = "vine-5.1.0.tar.gz", hash = "sha256:8b62e981d35c41049211cf62a0a1242d8c1ee9bd15bb196ce38aefd6799e61e0"},
]
[[package]]
name = "virtualenv"
version = "20.26.1"
description = "Virtual Python Environment builder"
optional = false
python-versions = ">=3.7"
files = [
{file = "virtualenv-20.26.1-py3-none-any.whl", hash = "sha256:7aa9982a728ae5892558bff6a2839c00b9ed145523ece2274fad6f414690ae75"},
{file = "virtualenv-20.26.1.tar.gz", hash = "sha256:604bfdceaeece392802e6ae48e69cec49168b9c5f4a44e483963f9242eb0e78b"},
]
[package.dependencies]
distlib = ">=0.3.7,<1"
filelock = ">=3.12.2,<4"
platformdirs = ">=3.9.1,<5"
[package.extras]
docs = ["furo (>=2023.7.26)", "proselint (>=0.13)", "sphinx (>=7.1.2,!=7.3)", "sphinx-argparse (>=0.4)", "sphinxcontrib-towncrier (>=0.2.1a0)", "towncrier (>=23.6)"]
test = ["covdefaults (>=2.3)", "coverage (>=7.2.7)", "coverage-enable-subprocess (>=1)", "flaky (>=3.7)", "packaging (>=23.1)", "pytest (>=7.4)", "pytest-env (>=0.8.2)", "pytest-freezer (>=0.4.8)", "pytest-mock (>=3.11.1)", "pytest-randomly (>=3.12)", "pytest-timeout (>=2.1)", "setuptools (>=68)", "time-machine (>=2.10)"]
[[package]]
name = "watchfiles"
version = "0.21.0"
@ -9661,13 +9749,13 @@ files = [
[[package]]
name = "weaviate-client"
version = "4.5.6"
version = "4.5.7"
description = "A python native Weaviate client"
optional = false
python-versions = ">=3.8"
files = [
{file = "weaviate_client-4.5.6-py3-none-any.whl", hash = "sha256:bdafbf94343f621ca68bc547b5c9a5272dc6ca7953ad6a228f5ad8179021de68"},
{file = "weaviate_client-4.5.6.tar.gz", hash = "sha256:32a2b328f0a6637228c064e04aa6004c4ba733469b81754ae4598750735a9624"},
{file = "weaviate_client-4.5.7-py3-none-any.whl", hash = "sha256:97958050d215ab64d702e5dd29206c4b855a3372d3ae22f784287a2d0ed085dc"},
{file = "weaviate_client-4.5.7.tar.gz", hash = "sha256:130f7371c4af31949e6f3537683813f0e5adb7ec94a5536e2278768c5fe057bf"},
]
[package.dependencies]
@ -9675,10 +9763,10 @@ authlib = ">=1.2.1,<2.0.0"
grpcio = ">=1.57.0,<2.0.0"
grpcio-health-checking = ">=1.57.0,<2.0.0"
grpcio-tools = ">=1.57.0,<2.0.0"
httpx = "0.27.0"
httpx = ">=0.25.0,<=0.27.0"
pydantic = ">=2.5.0,<3.0.0"
requests = ">=2.30.0,<3.0.0"
validators = "0.28.0"
validators = "0.28.1"
[[package]]
name = "websocket-client"
@ -10253,4 +10341,4 @@ local = ["ctransformers", "llama-cpp-python", "sentence-transformers"]
[metadata]
lock-version = "2.0"
python-versions = ">=3.10,<3.12"
content-hash = "bec34397b534f882551511558c76785c7cd67e6a1eefc1d45f6a64d97175d886"
content-hash = "b3d424bc8e83a9f10a8e71f95e2499b3018711d8edf7a594814b9388e5393a84"

1
pyproject.toml
View file

@ -108,6 +108,7 @@ respx = "^0.21.1"
pytest-instafail = "^0.5.0"
pytest-asyncio = "^0.23.0"
pytest-profiling = "^1.7.0"
pre-commit = "^3.7.0"
[tool.poetry.extras]
deploy = ["celery", "redis", "flower"]

88
scripts/setup/update_poetry.sh
View file

@ -32,90 +32,6 @@ case "$OS" in
;;
esac
echo "Detected Operating System: $OS"
# Installation of pipx based on the detected OS
install_pipx() {
case $1 in
macOS)
# macOS installation using Homebrew
command -v brew >/dev/null 2>&1 || exit_with_message "Homebrew is not installed. Please install Homebrew first."
echo "Installing pipx using Homebrew..."
brew install pipx
pipx ensurepath
;;
Linux)
# Linux installation. Further checks are needed to distinguish between distributions
if grep -qEi "(ubuntu|debian)" /etc/*release; then
echo "Installing pipx on Ubuntu/Debian..."
sudo apt update
sudo apt install pipx -y
elif grep -qEi "fedora" /etc/*release; then
echo "Installing pipx on Fedora..."
sudo dnf install pipx -y
else
echo "Installing pipx using pip (other Linux distributions)..."
python3 -m pip install --user pipx
fi
pipx ensurepath
;;
*)
exit_with_message "Unsupported operating system for pipx installation."
;;
esac
}
# Function to fetch the latest version of pipx from GitHub and compare with the installed version
check_for_pipx_update() {
echo "Checking for updates to pipx..."
# Fetch the latest version of pipx, ensuring only to capture the numeric version without 'v' prefix.
local latest_version=$(curl -s https://api.github.com/repos/pypa/pipx/releases/latest | grep '"tag_name":' | sed -E 's/.*"tag_name": "v?([^"]+)".*/\1/')
# Extract the current installed version of pipx.
local current_version=$(pipx --version | grep -oE '[0-9]+\.[0-9]+\.[0-9]+')
if [[ "$latest_version" == "$current_version" ]]; then
echo "You have the latest version of pipx ($current_version)."
else
echo "A newer version of pipx ($latest_version) is available. You have $current_version. Do you want to update? (yes/no)"
read -r user_input
if [[ "$user_input" == "yes" ]]; then
echo "Updating pipx..."
case "$OS" in
macOS)
brew upgrade pipx
;;
Linux)
if grep -qEi "(ubuntu|debian)" /etc/*release; then
sudo apt update
sudo apt install --only-upgrade pipx -y
elif grep -qEi "fedora" /etc/*release; then
sudo dnf upgrade pipx -y
else
python3 -m pip install --user --upgrade pipx
fi
;;
*)
exit_with_message "Unsupported operating system for pipx update."
;;
esac
pipx ensurepath
echo "pipx updated to version $latest_version"
else
echo "Not updating pipx at this time."
fi
fi
}
# Now, modify the existing check to call check_for_pipx_update even if pipx is installed
if ! command -v pipx &> /dev/null; then
echo "Pipx is not installed. Installing..."
install_pipx "$OS"
echo "Pipx installed successfully."
else
echo "Pipx is already installed."
check_for_pipx_update
fi
echo "Checking Poetry installation..."
@ -124,7 +40,7 @@ if ! command -v poetry &> /dev/null
then
echo "Poetry is not installed. Installing..."
# Also install python 3.10 and use
pipx install poetry --python python3.10 --fetch-missing-python
curl -sSL https://install.python-poetry.org | python3 -
echo "Poetry installed successfully."
else
echo "Poetry is already installed."
@ -146,3 +62,5 @@ else
echo "Poetry version is $1 or higher. No need to update."
fi

43
src/backend/base/langflow/alembic/versions/1f4d6df60295_add_default_fields_column.py Normal file
View file

@ -0,0 +1,43 @@
"""Add default_fields column
Revision ID: 1f4d6df60295
Revises: 6e7b581b5648
Create Date: 2024-04-29 09:49:46.864145
"""
from typing import Sequence, Union
import sqlalchemy as sa
from alembic import op
from sqlalchemy.engine.reflection import Inspector
# revision identifiers, used by Alembic.
revision: str = "1f4d6df60295"
down_revision: Union[str, None] = "6e7b581b5648"
branch_labels: Union[str, Sequence[str], None] = None
depends_on: Union[str, Sequence[str], None] = None
def upgrade() -> None:
conn = op.get_bind()
inspector = Inspector.from_engine(conn) # type: ignore
# ### commands auto generated by Alembic - please adjust! ###
column_names = [column["name"] for column in inspector.get_columns("variable")]
with op.batch_alter_table("variable", schema=None) as batch_op:
if "default_fields" not in column_names:
batch_op.add_column(sa.Column("default_fields", sa.JSON(), nullable=True))
# ### end Alembic commands ###
def downgrade() -> None:
conn = op.get_bind()
inspector = Inspector.from_engine(conn) # type: ignore
# ### commands auto generated by Alembic - please adjust! ###
column_names = [column["name"] for column in inspector.get_columns("variable")]
with op.batch_alter_table("variable", schema=None) as batch_op:
if "default_fields" in column_names:
batch_op.drop_column("default_fields")
# ### end Alembic commands ###

52
src/backend/base/langflow/alembic/versions/c153816fd85f_set_name_and_value_to_not_nullable.py Normal file
View file

@ -0,0 +1,52 @@
"""Set name and value to not nullable
Revision ID: c153816fd85f
Revises: 1f4d6df60295
Create Date: 2024-04-30 14:31:23.898995
"""
from typing import Sequence, Union
import sqlalchemy as sa
from alembic import op
from sqlalchemy.engine.reflection import Inspector
# revision identifiers, used by Alembic.
revision: str = "c153816fd85f"
down_revision: Union[str, None] = "1f4d6df60295"
branch_labels: Union[str, Sequence[str], None] = None
depends_on: Union[str, Sequence[str], None] = None
def upgrade() -> None:
conn = op.get_bind()
inspector = Inspector.from_engine(conn) # type: ignore
# ### commands auto generated by Alembic - please adjust! ###
columns = inspector.get_columns("variable")
with op.batch_alter_table("variable", schema=None) as batch_op:
name_column = [column for column in columns if column["name"] == "name"][0]
if name_column and name_column["nullable"]:
batch_op.alter_column("name", existing_type=sa.VARCHAR(), nullable=False)
value_column = [column for column in columns if column["name"] == "value"][0]
if value_column and value_column["nullable"]:
batch_op.alter_column("value", existing_type=sa.VARCHAR(), nullable=False)
# ### end Alembic commands ###
def downgrade() -> None:
conn = op.get_bind()
inspector = Inspector.from_engine(conn) # type: ignore
columns = inspector.get_columns("variable")
# ### commands auto generated by Alembic - please adjust! ###
with op.batch_alter_table("variable", schema=None) as batch_op:
name_column = [column for column in columns if column["name"] == "name"][0]
if name_column and not name_column["nullable"]:
batch_op.alter_column("name", existing_type=sa.VARCHAR(), nullable=True)
value_column = [column for column in columns if column["name"] == "value"][0]
if value_column and not value_column["nullable"]:
batch_op.alter_column("name", existing_type=sa.VARCHAR(), nullable=True)
# ### end Alembic commands ###

13
src/backend/base/langflow/api/utils.py
View file

@ -201,7 +201,7 @@ def format_elapsed_time(elapsed_time: float) -> str:
return f"{minutes} {minutes_unit}, {seconds} {seconds_unit}"
async def build_and_cache_graph(
async def build_and_cache_graph_from_db(
flow_id: str,
session: Session,
chat_service: "ChatService",
@ -220,6 +220,17 @@ async def build_and_cache_graph(
return graph
async def build_and_cache_graph_from_data(
flow_id: str,
chat_service: "ChatService",
graph_data: dict,
): # -> Graph | Any:
"""Build and cache the graph."""
graph = Graph.from_payload(graph_data, flow_id)
await chat_service.set_cache(flow_id, graph)
return graph
def format_syntax_error_message(exc: SyntaxError) -> str:
"""Format a SyntaxError message for returning to the frontend."""
if exc.text is None:

27
src/backend/base/langflow/api/v1/chat.py
View file

@ -8,13 +8,15 @@ from fastapi.responses import StreamingResponse
from loguru import logger
from langflow.api.utils import (
build_and_cache_graph,
build_and_cache_graph_from_data,
build_and_cache_graph_from_db,
format_elapsed_time,
format_exception_message,
get_top_level_vertices,
parse_exception,
)
from langflow.api.v1.schemas import (
FlowDataRequest,
InputValueRequest,
ResultDataResponse,
StreamData,
@ -49,9 +51,10 @@ async def try_running_celery_task(vertex, user_id):
return vertex
@router.get("/build/{flow_id}/vertices", response_model=VerticesOrderResponse)
async def get_vertices(
@router.post("/build/{flow_id}/vertices", response_model=VerticesOrderResponse)
async def retrieve_vertices_order(
flow_id: str,
data: Optional[Annotated[Optional[FlowDataRequest], Body(embed=True)]] = None,
stop_component_id: Optional[str] = None,
start_component_id: Optional[str] = None,
chat_service: "ChatService" = Depends(get_chat_service),
@ -62,6 +65,7 @@ async def get_vertices(
Args:
flow_id (str): The ID of the flow.
data (Optional[FlowDataRequest], optional): The flow data. Defaults to None.
stop_component_id (str, optional): The ID of the stop component. Defaults to None.
start_component_id (str, optional): The ID of the start component. Defaults to None.
chat_service (ChatService, optional): The chat service dependency. Defaults to Depends(get_chat_service).
@ -76,9 +80,16 @@ async def get_vertices(
try:
# First, we need to check if the flow_id is in the cache
graph = None
if cache := await chat_service.get_cache(flow_id):
graph = cache.get("result")
graph = await build_and_cache_graph(flow_id, session, chat_service, graph)
if not data:
if cache := await chat_service.get_cache(flow_id):
graph = cache.get("result")
graph = await build_and_cache_graph_from_db(
flow_id=flow_id, session=session, chat_service=chat_service, graph=graph
)
else:
graph = await build_and_cache_graph_from_data(
flow_id=flow_id, graph_data=data.model_dump(), chat_service=chat_service
)
if stop_component_id or start_component_id:
try:
first_layer = graph.sort_vertices(stop_component_id, start_component_id)
@ -144,7 +155,9 @@ async def build_vertex(
if not cache:
# If there's no cache
logger.warning(f"No cache found for {flow_id}. Building graph starting at {vertex_id}")
graph = await build_and_cache_graph(flow_id=flow_id, session=next(get_session()), chat_service=chat_service)
graph = await build_and_cache_graph_from_db(
flow_id=flow_id, session=next(get_session()), chat_service=chat_service
)
else:
graph = cache.get("result")
result_data_response = ResultDataResponse(results={})

12
src/backend/base/langflow/api/v1/schemas.py
View file

@ -294,3 +294,15 @@ class SimplifiedAPIRequest(BaseModel):
)
tweaks: Optional[Tweaks] = Field(default=None, description="The tweaks")
session_id: Optional[str] = Field(default=None, description="The session id")
# (alias) type ReactFlowJsonObject<NodeData = any, EdgeData = any> = {
# nodes: Node<NodeData>[];
# edges: Edge<EdgeData>[];
# viewport: Viewport;
# }
# import ReactFlowJsonObject
class FlowDataRequest(BaseModel):
nodes: List[dict]
edges: List[dict]
viewport: Optional[dict] = None

10
src/backend/base/langflow/api/v1/variable.py
View file

@ -1,4 +1,4 @@
from datetime import datetime
from datetime import datetime, timezone
from uuid import UUID
from fastapi import APIRouter, Depends, HTTPException
@ -37,7 +37,11 @@ def create_variable(
variable_dict["user_id"] = current_user.id
db_variable = Variable.model_validate(variable_dict)
if not db_variable.value:
if not db_variable.name and not db_variable.value:
raise HTTPException(status_code=400, detail="Variable name and value cannot be empty")
elif not db_variable.name:
raise HTTPException(status_code=400, detail="Variable name cannot be empty")
elif not db_variable.value:
raise HTTPException(status_code=400, detail="Variable value cannot be empty")
encrypted = auth_utils.encrypt_api_key(db_variable.value, settings_service=settings_service)
db_variable.value = encrypted
@ -85,7 +89,7 @@ def update_variable(
variable_data = variable.model_dump(exclude_unset=True)
for key, value in variable_data.items():
setattr(db_variable, key, value)
db_variable.updated_at = datetime.utcnow()
db_variable.updated_at = datetime.now(timezone.utc)
session.commit()
session.refresh(db_variable)
return db_variable

37
src/backend/base/langflow/base/io/chat.py
View file

@ -1,10 +1,9 @@
import warnings
from typing import Optional, Union
from langflow.field_typing import Text
from langflow.helpers.record import records_to_text
from langflow.interface.custom.custom_component import CustomComponent
from langflow.memory import add_messages
from langflow.memory import store_message
from langflow.schema import Record
@ -50,34 +49,16 @@ class ChatComponent(CustomComponent):
sender: Optional[str] = None,
sender_name: Optional[str] = None,
) -> list[Record]:
if not message:
warnings.warn("No message provided.")
return []
if not session_id or not sender or not sender_name:
raise ValueError("All of session_id, sender, and sender_name must be provided.")
if isinstance(message, Record):
record = message
record.data.update(
{
"session_id": session_id,
"sender": sender,
"sender_name": sender_name,
}
)
else:
record = Record(
data={
"text": message,
"session_id": session_id,
"sender": sender,
"sender_name": sender_name,
},
)
records = store_message(
message,
session_id=session_id,
sender=sender,
sender_name=sender_name,
)
self.status = record
records = add_messages([record])
return records[0]
self.status = records
return records
def build_with_record(
self,

44
src/backend/base/langflow/components/experimental/StoreMessage.py Normal file
View file

@ -0,0 +1,44 @@
from typing import List, Optional
from langflow.interface.custom.custom_component import CustomComponent
from langflow.memory import get_messages, store_message
from langflow.schema import Record
class StoreMessageComponent(CustomComponent):
display_name = "Store Message"
description = "Stores a chat message given a Session ID."
beta: bool = True
def build_config(self):
return {
"sender": {
"options": ["Machine", "User"],
"display_name": "Sender Type",
},
"sender_name": {"display_name": "Sender Name"},
"message": {"display_name": "Message"},
"session_id": {
"display_name": "Session ID",
"info": "Session ID of the chat history.",
"input_types": ["Text"],
},
}
def build(
self,
sender: str = "User",
sender_name: Optional[str] = None,
session_id: Optional[str] = None,
message: str = "",
) -> List[Record]:
store_message(
sender=sender,
sender_name=sender_name,
session_id=session_id,
message=message,
)
self.status = get_messages(session_id=session_id)
return get_messages(session_id=session_id)

55
src/backend/base/langflow/components/experimental/TextOperator.py Normal file
View file

@ -0,0 +1,55 @@
from langflow.interface.custom.custom_component import CustomComponent
from langflow.schema import Record
from langflow.field_typing import Text
class TextOperatorComponent(CustomComponent):
display_name = "Text Operator"
description = "Compares two text inputs based on a specified condition such as equality or inequality, with optional case sensitivity."
def build_config(self) -> dict:
return {
"input_text": {
"display_name": "Input Text",
"info": "The primary text input for the operation.",
},
"match_text": {
"display_name": "Match Text",
"info": "The text input to compare against.",
},
"operator": {
"display_name": "Operator",
"info": "The operator to apply for comparing the texts.",
"options": ["equals", "not equals", "contains", "starts with", "ends with"],
},
"case_sensitive": {
"display_name": "Case Sensitive",
"info": "If true, the comparison will be case sensitive.",
"field_type": "bool",
"default": False,
}
}
def build(self, input_text: Text, match_text: Text, operator: Text, case_sensitive: bool = False) -> Text:
if not input_text or not match_text:
raise ValueError("Both 'input_text' and 'match_text' must be provided and non-empty.")
if not case_sensitive:
input_text = input_text.lower()
match_text = match_text.lower()
result = False
if operator == "equals":
result = input_text == match_text
elif operator == "not equals":
result = input_text != match_text
elif operator == "contains":
result = match_text in input_text
elif operator == "starts with":
result = input_text.startswith(match_text)
elif operator == "ends with":
result = input_text.endswith(match_text)
if not result:
self.stop()
self.status = f"{result} \n\n {input_text}"
return input_text

2
src/backend/base/langflow/components/inputs/ChatInput.py
View file

@ -7,7 +7,7 @@ from langflow.schema import Record
class ChatInput(ChatComponent):
display_name = "Chat Input"
description = "Get chat inputs from the Interaction Panel."
description = "Get chat inputs from the Playground."
icon = "ChatInput"
def build_config(self):

2
src/backend/base/langflow/components/inputs/TextInput.py
View file

@ -6,7 +6,7 @@ from langflow.field_typing import Text
class TextInput(TextComponent):
display_name = "Text Input"
description = "Get text inputs from the Interaction Panel."
description = "Get text inputs from the Playground."
icon = "type"
def build_config(self):

1
src/backend/base/langflow/components/models/AzureOpenAIModel.py
View file

@ -1,6 +1,5 @@
from typing import Optional
from langchain.llms.base import BaseLanguageModel
from langchain_openai import AzureChatOpenAI
from pydantic.v1 import SecretStr

2
src/backend/base/langflow/components/models/ChatLiteLLMModel.py
View file

@ -4,7 +4,7 @@ from langchain_community.chat_models.litellm import ChatLiteLLM, ChatLiteLLMExce
from langflow.base.constants import STREAM_INFO_TEXT
from langflow.base.models.model import LCModelComponent
from langflow.field_typing import BaseLanguageModel, Text
from langflow.field_typing import Text
class ChatLiteLLMModelComponent(LCModelComponent):

2
src/backend/base/langflow/components/outputs/ChatOutput.py
View file

@ -7,7 +7,7 @@ from langflow.schema import Record
class ChatOutput(ChatComponent):
display_name = "Chat Output"
description = "Display a chat message in the Interaction Panel."
description = "Display a chat message in the Playground."
icon = "ChatOutput"
def build(

2
src/backend/base/langflow/components/outputs/TextOutput.py
View file

@ -6,7 +6,7 @@ from langflow.field_typing import Text
class TextOutput(TextComponent):
display_name = "Text Output"
description = "Display a text output in the Interaction Panel."
description = "Display a text output in the Playground."
icon = "type"
def build_config(self):

8
src/backend/base/langflow/initial_setup/starter_projects/Basic Prompting (Hello, world!).json
View file

@ -421,7 +421,7 @@
"list": false,
"show": true,
"multiline": true,
"value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Interaction Panel.\"\n icon = \"ChatOutput\"\n\n def build(\n self,\n sender: Optional[str] = \"Machine\",\n sender_name: Optional[str] = \"AI\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n record_template: Optional[str] = \"{text}\",\n ) -> Union[Text, Record]:\n return super().build_with_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n record_template=record_template or \"\",\n )\n",
"value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n\n def build(\n self,\n sender: Optional[str] = \"Machine\",\n sender_name: Optional[str] = \"AI\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n record_template: Optional[str] = \"{text}\",\n ) -> Union[Text, Record]:\n return super().build_with_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n record_template=record_template or \"\",\n )\n",
"fileTypes": [],
"file_path": "",
"password": false,
@ -565,7 +565,7 @@
},
"_type": "CustomComponent"
},
"description": "Display a chat message in the Interaction Panel.",
"description": "Display a chat message in the Playground.",
"icon": "ChatOutput",
"base_classes": [
"Record",
@ -621,7 +621,7 @@
"list": false,
"show": true,
"multiline": true,
"value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatInput(ChatComponent):\n display_name = \"Chat Input\"\n description = \"Get chat inputs from the Interaction Panel.\"\n icon = \"ChatInput\"\n\n def build_config(self):\n build_config = super().build_config()\n build_config[\"input_value\"] = {\n \"input_types\": [],\n \"display_name\": \"Message\",\n \"multiline\": True,\n }\n\n return build_config\n\n def build(\n self,\n sender: Optional[str] = \"User\",\n sender_name: Optional[str] = \"User\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n ) -> Union[Text, Record]:\n return super().build_no_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n )\n",
"value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatInput(ChatComponent):\n display_name = \"Chat Input\"\n description = \"Get chat inputs from the Playground.\"\n icon = \"ChatInput\"\n\n def build_config(self):\n build_config = super().build_config()\n build_config[\"input_value\"] = {\n \"input_types\": [],\n \"display_name\": \"Message\",\n \"multiline\": True,\n }\n\n return build_config\n\n def build(\n self,\n sender: Optional[str] = \"User\",\n sender_name: Optional[str] = \"User\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n ) -> Union[Text, Record]:\n return super().build_no_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n )\n",
"fileTypes": [],
"file_path": "",
"password": false,
@ -742,7 +742,7 @@
},
"_type": "CustomComponent"
},
"description": "Get chat inputs from the Interaction Panel.",
"description": "Get chat inputs from the Playground.",
"icon": "ChatInput",
"base_classes": [
"object",

8
src/backend/base/langflow/initial_setup/starter_projects/Langflow Blog Writter.json
View file

@ -278,7 +278,7 @@
"list": false,
"show": true,
"multiline": true,
"value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Interaction Panel.\"\n icon = \"ChatOutput\"\n\n def build(\n self,\n sender: Optional[str] = \"Machine\",\n sender_name: Optional[str] = \"AI\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n record_template: Optional[str] = \"{text}\",\n ) -> Union[Text, Record]:\n return super().build_with_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n record_template=record_template or \"\",\n )\n",
"value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n\n def build(\n self,\n sender: Optional[str] = \"Machine\",\n sender_name: Optional[str] = \"AI\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n record_template: Optional[str] = \"{text}\",\n ) -> Union[Text, Record]:\n return super().build_with_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n record_template=record_template or \"\",\n )\n",
"fileTypes": [],
"file_path": "",
"password": false,
@ -422,7 +422,7 @@
},
"_type": "CustomComponent"
},
"description": "Display a chat message in the Interaction Panel.",
"description": "Display a chat message in the Playground.",
"icon": "ChatOutput",
"base_classes": [
"Text",
@ -836,7 +836,7 @@
"list": false,
"show": true,
"multiline": true,
"value": "from typing import Optional\n\nfrom langflow.base.io.text import TextComponent\nfrom langflow.field_typing import Text\n\n\nclass TextInput(TextComponent):\n display_name = \"Text Input\"\n description = \"Get text inputs from the Interaction Panel.\"\n icon = \"type\"\n\n def build_config(self):\n return {\n \"input_value\": {\n \"display_name\": \"Value\",\n \"input_types\": [\"Record\", \"Text\"],\n \"info\": \"Text or Record to be passed as input.\",\n },\n \"record_template\": {\n \"display_name\": \"Record Template\",\n \"multiline\": True,\n \"info\": \"Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Optional[str] = \"\",\n record_template: Optional[str] = \"\",\n ) -> Text:\n return super().build(input_value=input_value, record_template=record_template)\n",
"value": "from typing import Optional\n\nfrom langflow.base.io.text import TextComponent\nfrom langflow.field_typing import Text\n\n\nclass TextInput(TextComponent):\n display_name = \"Text Input\"\n description = \"Get text inputs from the Playground.\"\n icon = \"type\"\n\n def build_config(self):\n return {\n \"input_value\": {\n \"display_name\": \"Value\",\n \"input_types\": [\"Record\", \"Text\"],\n \"info\": \"Text or Record to be passed as input.\",\n },\n \"record_template\": {\n \"display_name\": \"Record Template\",\n \"multiline\": True,\n \"info\": \"Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Optional[str] = \"\",\n record_template: Optional[str] = \"\",\n ) -> Text:\n return super().build(input_value=input_value, record_template=record_template)\n",
"fileTypes": [],
"file_path": "",
"password": false,
@ -894,7 +894,7 @@
},
"_type": "CustomComponent"
},
"description": "Get text inputs from the Interaction Panel.",
"description": "Get text inputs from the Playground.",
"icon": "type",
"base_classes": [
"object",

8
src/backend/base/langflow/initial_setup/starter_projects/Langflow Document QA.json
View file

@ -277,7 +277,7 @@
"list": false,
"show": true,
"multiline": true,
"value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatInput(ChatComponent):\n display_name = \"Chat Input\"\n description = \"Get chat inputs from the Interaction Panel.\"\n icon = \"ChatInput\"\n\n def build_config(self):\n build_config = super().build_config()\n build_config[\"input_value\"] = {\n \"input_types\": [],\n \"display_name\": \"Message\",\n \"multiline\": True,\n }\n\n return build_config\n\n def build(\n self,\n sender: Optional[str] = \"User\",\n sender_name: Optional[str] = \"User\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n ) -> Union[Text, Record]:\n return super().build_no_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n )\n",
"value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatInput(ChatComponent):\n display_name = \"Chat Input\"\n description = \"Get chat inputs from the Playground.\"\n icon = \"ChatInput\"\n\n def build_config(self):\n build_config = super().build_config()\n build_config[\"input_value\"] = {\n \"input_types\": [],\n \"display_name\": \"Message\",\n \"multiline\": True,\n }\n\n return build_config\n\n def build(\n self,\n sender: Optional[str] = \"User\",\n sender_name: Optional[str] = \"User\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n ) -> Union[Text, Record]:\n return super().build_no_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n )\n",
"fileTypes": [],
"file_path": "",
"password": false,
@ -398,7 +398,7 @@
},
"_type": "CustomComponent"
},
"description": "Get chat inputs from the Interaction Panel.",
"description": "Get chat inputs from the Playground.",
"icon": "ChatInput",
"base_classes": [
"str",
@ -453,7 +453,7 @@
"list": false,
"show": true,
"multiline": true,
"value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Interaction Panel.\"\n icon = \"ChatOutput\"\n\n def build(\n self,\n sender: Optional[str] = \"Machine\",\n sender_name: Optional[str] = \"AI\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n record_template: Optional[str] = \"{text}\",\n ) -> Union[Text, Record]:\n return super().build_with_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n record_template=record_template or \"\",\n )\n",
"value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n\n def build(\n self,\n sender: Optional[str] = \"Machine\",\n sender_name: Optional[str] = \"AI\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n record_template: Optional[str] = \"{text}\",\n ) -> Union[Text, Record]:\n return super().build_with_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n record_template=record_template or \"\",\n )\n",
"fileTypes": [],
"file_path": "",
"password": false,
@ -575,7 +575,7 @@
},
"_type": "CustomComponent"
},
"description": "Display a chat message in the Interaction Panel.",
"description": "Display a chat message in the Playground.",
"icon": "ChatOutput",
"base_classes": [
"str",

12
src/backend/base/langflow/initial_setup/starter_projects/Langflow Memory Conversation.json
View file

@ -22,7 +22,7 @@
"list": false,
"show": true,
"multiline": true,
"value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatInput(ChatComponent):\n display_name = \"Chat Input\"\n description = \"Get chat inputs from the Interaction Panel.\"\n icon = \"ChatInput\"\n\n def build_config(self):\n build_config = super().build_config()\n build_config[\"input_value\"] = {\n \"input_types\": [],\n \"display_name\": \"Message\",\n \"multiline\": True,\n }\n\n return build_config\n\n def build(\n self,\n sender: Optional[str] = \"User\",\n sender_name: Optional[str] = \"User\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n ) -> Union[Text, Record]:\n return super().build_no_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n )\n",
"value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatInput(ChatComponent):\n display_name = \"Chat Input\"\n description = \"Get chat inputs from the Playground.\"\n icon = \"ChatInput\"\n\n def build_config(self):\n build_config = super().build_config()\n build_config[\"input_value\"] = {\n \"input_types\": [],\n \"display_name\": \"Message\",\n \"multiline\": True,\n }\n\n return build_config\n\n def build(\n self,\n sender: Optional[str] = \"User\",\n sender_name: Optional[str] = \"User\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n ) -> Union[Text, Record]:\n return super().build_no_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n )\n",
"fileTypes": [],
"file_path": "",
"password": false,
@ -144,7 +144,7 @@
},
"_type": "CustomComponent"
},
"description": "Get chat inputs from the Interaction Panel.",
"description": "Get chat inputs from the Playground.",
"icon": "ChatInput",
"base_classes": [
"Text",
@ -199,7 +199,7 @@
"list": false,
"show": true,
"multiline": true,
"value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Interaction Panel.\"\n icon = \"ChatOutput\"\n\n def build(\n self,\n sender: Optional[str] = \"Machine\",\n sender_name: Optional[str] = \"AI\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n record_template: Optional[str] = \"{text}\",\n ) -> Union[Text, Record]:\n return super().build_with_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n record_template=record_template or \"\",\n )\n",
"value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n\n def build(\n self,\n sender: Optional[str] = \"Machine\",\n sender_name: Optional[str] = \"AI\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n record_template: Optional[str] = \"{text}\",\n ) -> Union[Text, Record]:\n return super().build_with_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n record_template=record_template or \"\",\n )\n",
"fileTypes": [],
"file_path": "",
"password": false,
@ -322,7 +322,7 @@
},
"_type": "CustomComponent"
},
"description": "Display a chat message in the Interaction Panel.",
"description": "Display a chat message in the Playground.",
"icon": "ChatOutput",
"base_classes": [
"Text",
@ -1032,7 +1032,7 @@
"list": false,
"show": true,
"multiline": true,
"value": "from typing import Optional\n\nfrom langflow.base.io.text import TextComponent\nfrom langflow.field_typing import Text\n\n\nclass TextOutput(TextComponent):\n display_name = \"Text Output\"\n description = \"Display a text output in the Interaction Panel.\"\n icon = \"type\"\n\n def build_config(self):\n return {\n \"input_value\": {\n \"display_name\": \"Value\",\n \"input_types\": [\"Record\", \"Text\"],\n \"info\": \"Text or Record to be passed as output.\",\n },\n \"record_template\": {\n \"display_name\": \"Record Template\",\n \"multiline\": True,\n \"info\": \"Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.\",\n \"advanced\": True,\n },\n }\n\n def build(self, input_value: Optional[Text] = \"\", record_template: str = \"\") -> Text:\n return super().build(input_value=input_value, record_template=record_template)\n",
"value": "from typing import Optional\n\nfrom langflow.base.io.text import TextComponent\nfrom langflow.field_typing import Text\n\n\nclass TextOutput(TextComponent):\n display_name = \"Text Output\"\n description = \"Display a text output in the Playground.\"\n icon = \"type\"\n\n def build_config(self):\n return {\n \"input_value\": {\n \"display_name\": \"Value\",\n \"input_types\": [\"Record\", \"Text\"],\n \"info\": \"Text or Record to be passed as output.\",\n },\n \"record_template\": {\n \"display_name\": \"Record Template\",\n \"multiline\": True,\n \"info\": \"Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.\",\n \"advanced\": True,\n },\n }\n\n def build(self, input_value: Optional[Text] = \"\", record_template: str = \"\") -> Text:\n return super().build(input_value=input_value, record_template=record_template)\n",
"fileTypes": [],
"file_path": "",
"password": false,
@ -1067,7 +1067,7 @@
},
"_type": "CustomComponent"
},
"description": "Display a text output in the Interaction Panel.",
"description": "Display a text output in the Playground.",
"icon": "type",
"base_classes": [
"str",

20
src/backend/base/langflow/initial_setup/starter_projects/Langflow Prompt Chaining.json
View file

@ -256,7 +256,7 @@
"list": false,
"show": true,
"multiline": true,
"value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Interaction Panel.\"\n icon = \"ChatOutput\"\n\n def build(\n self,\n sender: Optional[str] = \"Machine\",\n sender_name: Optional[str] = \"AI\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n record_template: Optional[str] = \"{text}\",\n ) -> Union[Text, Record]:\n return super().build_with_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n record_template=record_template or \"\",\n )\n",
"value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n\n def build(\n self,\n sender: Optional[str] = \"Machine\",\n sender_name: Optional[str] = \"AI\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n record_template: Optional[str] = \"{text}\",\n ) -> Union[Text, Record]:\n return super().build_with_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n record_template=record_template or \"\",\n )\n",
"fileTypes": [],
"file_path": "",
"password": false,
@ -400,7 +400,7 @@
},
"_type": "CustomComponent"
},
"description": "Display a chat message in the Interaction Panel.",
"description": "Display a chat message in the Playground.",
"icon": "ChatOutput",
"base_classes": [
"object",
@ -452,7 +452,7 @@
"list": false,
"show": true,
"multiline": true,
"value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Interaction Panel.\"\n icon = \"ChatOutput\"\n\n def build(\n self,\n sender: Optional[str] = \"Machine\",\n sender_name: Optional[str] = \"AI\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n record_template: Optional[str] = \"{text}\",\n ) -> Union[Text, Record]:\n return super().build_with_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n record_template=record_template or \"\",\n )\n",
"value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n\n def build(\n self,\n sender: Optional[str] = \"Machine\",\n sender_name: Optional[str] = \"AI\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n record_template: Optional[str] = \"{text}\",\n ) -> Union[Text, Record]:\n return super().build_with_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n record_template=record_template or \"\",\n )\n",
"fileTypes": [],
"file_path": "",
"password": false,
@ -596,7 +596,7 @@
},
"_type": "CustomComponent"
},
"description": "Display a chat message in the Interaction Panel.",
"description": "Display a chat message in the Playground.",
"icon": "ChatOutput",
"base_classes": [
"object",
@ -647,7 +647,7 @@
"list": false,
"show": true,
"multiline": true,
"value": "from typing import Optional\n\nfrom langflow.base.io.text import TextComponent\nfrom langflow.field_typing import Text\n\n\nclass TextInput(TextComponent):\n display_name = \"Text Input\"\n description = \"Get text inputs from the Interaction Panel.\"\n icon = \"type\"\n\n def build_config(self):\n return {\n \"input_value\": {\n \"display_name\": \"Value\",\n \"input_types\": [\"Record\", \"Text\"],\n \"info\": \"Text or Record to be passed as input.\",\n },\n \"record_template\": {\n \"display_name\": \"Record Template\",\n \"multiline\": True,\n \"info\": \"Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Optional[Text] = \"\",\n record_template: Optional[str] = \"\",\n ) -> Text:\n return super().build(input_value=input_value, record_template=record_template)\n",
"value": "from typing import Optional\n\nfrom langflow.base.io.text import TextComponent\nfrom langflow.field_typing import Text\n\n\nclass TextInput(TextComponent):\n display_name = \"Text Input\"\n description = \"Get text inputs from the Playground.\"\n icon = \"type\"\n\n def build_config(self):\n return {\n \"input_value\": {\n \"display_name\": \"Value\",\n \"input_types\": [\"Record\", \"Text\"],\n \"info\": \"Text or Record to be passed as input.\",\n },\n \"record_template\": {\n \"display_name\": \"Record Template\",\n \"multiline\": True,\n \"info\": \"Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Optional[Text] = \"\",\n record_template: Optional[str] = \"\",\n ) -> Text:\n return super().build(input_value=input_value, record_template=record_template)\n",
"fileTypes": [],
"file_path": "",
"password": false,
@ -705,7 +705,7 @@
},
"_type": "CustomComponent"
},
"description": "Get text inputs from the Interaction Panel.",
"description": "Get text inputs from the Playground.",
"icon": "type",
"base_classes": [
"str",
@ -778,7 +778,7 @@
"list": false,
"show": true,
"multiline": true,
"value": "from typing import Optional\n\nfrom langflow.base.io.text import TextComponent\nfrom langflow.field_typing import Text\n\n\nclass TextOutput(TextComponent):\n display_name = \"Text Output\"\n description = \"Display a text output in the Interaction Panel.\"\n icon = \"type\"\n\n def build_config(self):\n return {\n \"input_value\": {\n \"display_name\": \"Value\",\n \"input_types\": [\"Record\", \"Text\"],\n \"info\": \"Text or Record to be passed as output.\",\n },\n \"record_template\": {\n \"display_name\": \"Record Template\",\n \"multiline\": True,\n \"info\": \"Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.\",\n \"advanced\": True,\n },\n }\n\n def build(self, input_value: Optional[Text] = \"\", record_template: str = \"\") -> Text:\n return super().build(input_value=input_value, record_template=record_template)\n",
"value": "from typing import Optional\n\nfrom langflow.base.io.text import TextComponent\nfrom langflow.field_typing import Text\n\n\nclass TextOutput(TextComponent):\n display_name = \"Text Output\"\n description = \"Display a text output in the Playground.\"\n icon = \"type\"\n\n def build_config(self):\n return {\n \"input_value\": {\n \"display_name\": \"Value\",\n \"input_types\": [\"Record\", \"Text\"],\n \"info\": \"Text or Record to be passed as output.\",\n },\n \"record_template\": {\n \"display_name\": \"Record Template\",\n \"multiline\": True,\n \"info\": \"Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.\",\n \"advanced\": True,\n },\n }\n\n def build(self, input_value: Optional[Text] = \"\", record_template: str = \"\") -> Text:\n return super().build(input_value=input_value, record_template=record_template)\n",
"fileTypes": [],
"file_path": "",
"password": false,
@ -813,7 +813,7 @@
},
"_type": "CustomComponent"
},
"description": "Display a text output in the Interaction Panel.",
"description": "Display a text output in the Playground.",
"icon": "type",
"base_classes": [
"str",
@ -1165,7 +1165,7 @@
"list": false,
"show": true,
"multiline": true,
"value": "from typing import Optional\n\nfrom langflow.base.io.text import TextComponent\nfrom langflow.field_typing import Text\n\n\nclass TextOutput(TextComponent):\n display_name = \"Text Output\"\n description = \"Display a text output in the Interaction Panel.\"\n icon = \"type\"\n\n def build_config(self):\n return {\n \"input_value\": {\n \"display_name\": \"Value\",\n \"input_types\": [\"Record\", \"Text\"],\n \"info\": \"Text or Record to be passed as output.\",\n },\n \"record_template\": {\n \"display_name\": \"Record Template\",\n \"multiline\": True,\n \"info\": \"Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.\",\n \"advanced\": True,\n },\n }\n\n def build(self, input_value: Optional[Text] = \"\", record_template: str = \"\") -> Text:\n return super().build(input_value=input_value, record_template=record_template)\n",
"value": "from typing import Optional\n\nfrom langflow.base.io.text import TextComponent\nfrom langflow.field_typing import Text\n\n\nclass TextOutput(TextComponent):\n display_name = \"Text Output\"\n description = \"Display a text output in the Playground.\"\n icon = \"type\"\n\n def build_config(self):\n return {\n \"input_value\": {\n \"display_name\": \"Value\",\n \"input_types\": [\"Record\", \"Text\"],\n \"info\": \"Text or Record to be passed as output.\",\n },\n \"record_template\": {\n \"display_name\": \"Record Template\",\n \"multiline\": True,\n \"info\": \"Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.\",\n \"advanced\": True,\n },\n }\n\n def build(self, input_value: Optional[Text] = \"\", record_template: str = \"\") -> Text:\n return super().build(input_value=input_value, record_template=record_template)\n",
"fileTypes": [],
"file_path": "",
"password": false,
@ -1200,7 +1200,7 @@
},
"_type": "CustomComponent"
},
"description": "Display a text output in the Interaction Panel.",
"description": "Display a text output in the Playground.",
"icon": "type",
"base_classes": [
"str",

12
src/backend/base/langflow/initial_setup/starter_projects/VectorStore-RAG-Flows.json
View file

@ -20,7 +20,7 @@
"list": false,
"show": true,
"multiline": true,
"value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatInput(ChatComponent):\n display_name = \"Chat Input\"\n description = \"Get chat inputs from the Interaction Panel.\"\n icon = \"ChatInput\"\n\n def build_config(self):\n build_config = super().build_config()\n build_config[\"input_value\"] = {\n \"input_types\": [],\n \"display_name\": \"Message\",\n \"multiline\": True,\n }\n\n return build_config\n\n def build(\n self,\n sender: Optional[str] = \"User\",\n sender_name: Optional[str] = \"User\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n ) -> Union[Text, Record]:\n return super().build_no_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n )\n",
"value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatInput(ChatComponent):\n display_name = \"Chat Input\"\n description = \"Get chat inputs from the Playground.\"\n icon = \"ChatInput\"\n\n def build_config(self):\n build_config = super().build_config()\n build_config[\"input_value\"] = {\n \"input_types\": [],\n \"display_name\": \"Message\",\n \"multiline\": True,\n }\n\n return build_config\n\n def build(\n self,\n sender: Optional[str] = \"User\",\n sender_name: Optional[str] = \"User\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n ) -> Union[Text, Record]:\n return super().build_no_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n )\n",
"fileTypes": [],
"file_path": "",
"password": false,
@ -141,7 +141,7 @@
},
"_type": "CustomComponent"
},
"description": "Get chat inputs from the Interaction Panel.",
"description": "Get chat inputs from the Playground.",
"icon": "ChatInput",
"base_classes": [
"Text",
@ -214,7 +214,7 @@
"list": false,
"show": true,
"multiline": true,
"value": "from typing import Optional\n\nfrom langflow.base.io.text import TextComponent\nfrom langflow.field_typing import Text\n\n\nclass TextOutput(TextComponent):\n display_name = \"Text Output\"\n description = \"Display a text output in the Interaction Panel.\"\n icon = \"type\"\n\n def build_config(self):\n return {\n \"input_value\": {\n \"display_name\": \"Value\",\n \"input_types\": [\"Record\", \"Text\"],\n \"info\": \"Text or Record to be passed as output.\",\n },\n \"record_template\": {\n \"display_name\": \"Record Template\",\n \"multiline\": True,\n \"info\": \"Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.\",\n \"advanced\": True,\n },\n }\n\n def build(self, input_value: Optional[Text] = \"\", record_template: str = \"\") -> Text:\n return super().build(input_value=input_value, record_template=record_template)\n",
"value": "from typing import Optional\n\nfrom langflow.base.io.text import TextComponent\nfrom langflow.field_typing import Text\n\n\nclass TextOutput(TextComponent):\n display_name = \"Text Output\"\n description = \"Display a text output in the Playground.\"\n icon = \"type\"\n\n def build_config(self):\n return {\n \"input_value\": {\n \"display_name\": \"Value\",\n \"input_types\": [\"Record\", \"Text\"],\n \"info\": \"Text or Record to be passed as output.\",\n },\n \"record_template\": {\n \"display_name\": \"Record Template\",\n \"multiline\": True,\n \"info\": \"Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.\",\n \"advanced\": True,\n },\n }\n\n def build(self, input_value: Optional[Text] = \"\", record_template: str = \"\") -> Text:\n return super().build(input_value=input_value, record_template=record_template)\n",
"fileTypes": [],
"file_path": "",
"password": false,
@ -249,7 +249,7 @@
},
"_type": "CustomComponent"
},
"description": "Display a text output in the Interaction Panel.",
"description": "Display a text output in the Playground.",
"icon": "type",
"base_classes": [
"object",
@ -1256,7 +1256,7 @@
"list": false,
"show": true,
"multiline": true,
"value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Interaction Panel.\"\n icon = \"ChatOutput\"\n\n def build(\n self,\n sender: Optional[str] = \"Machine\",\n sender_name: Optional[str] = \"AI\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n record_template: Optional[str] = \"{text}\",\n ) -> Union[Text, Record]:\n return super().build_with_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n record_template=record_template or \"\",\n )\n",
"value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n\n def build(\n self,\n sender: Optional[str] = \"Machine\",\n sender_name: Optional[str] = \"AI\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n record_template: Optional[str] = \"{text}\",\n ) -> Union[Text, Record]:\n return super().build_with_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n record_template=record_template or \"\",\n )\n",
"fileTypes": [],
"file_path": "",
"password": false,
@ -1400,7 +1400,7 @@
},
"_type": "CustomComponent"
},
"description": "Display a chat message in the Interaction Panel.",
"description": "Display a chat message in the Playground.",
"icon": "ChatOutput",
"base_classes": [
"object",

2
src/backend/base/langflow/interface/initialize/loading.py
View file

@ -185,7 +185,7 @@ async def instantiate_custom_component(params, user_id, vertex):
# Call the build method directly if it's sync
build_result = custom_component.build(**params_copy)
custom_repr = custom_component.custom_repr()
if not custom_repr and isinstance(build_result, (dict, Record, str)):
if custom_repr is None and isinstance(build_result, (dict, Record, str)):
custom_repr = build_result
if not isinstance(custom_repr, str):
custom_repr = str(custom_repr)

2
src/backend/base/langflow/interface/tools/constants.py
View file

@ -1,7 +1,7 @@
from langchain import tools
from langchain.agents import Tool
from langchain.agents.load_tools import _BASE_TOOLS, _EXTRA_LLM_TOOLS, _EXTRA_OPTIONAL_TOOLS, _LLM_TOOLS
from langchain.tools.json.tool import JsonSpec
from langchain_community.tools.json.tool import JsonSpec
from langflow.interface.importing.utils import import_class
from langflow.interface.tools.custom import PythonFunctionTool

38
src/backend/base/langflow/memory.py
View file

@ -1,3 +1,4 @@
import warnings
from typing import Optional, Union
from loguru import logger
@ -51,6 +52,7 @@ def get_messages(
"sender": row.sender,
"sender_name": row.sender_name,
"session_id": row.session_id,
"timestamp": row.timestamp,
},
)
records.append(record)
@ -98,3 +100,39 @@ def delete_messages(session_id: str):
"""
monitor_service = get_monitor_service()
monitor_service.delete_messages(session_id)
def store_message(
message: Union[str, Record],
session_id: Optional[str] = None,
sender: Optional[str] = None,
sender_name: Optional[str] = None,
) -> list[Record]:
if not message:
warnings.warn("No message provided.")
return []
if not session_id or not sender or not sender_name:
raise ValueError("All of session_id, sender, and sender_name must be provided.")
if isinstance(message, Record):
record = message
record.data.update(
{
"session_id": session_id,
"sender": sender,
"sender_name": sender_name,
}
)
elif isinstance(message, str):
record = Record(
data={
"text": message,
"session_id": session_id,
"sender": sender,
"sender_name": sender_name,
},
)
return add_messages([record])

1
src/backend/base/langflow/schema/schema.py
View file

@ -4,6 +4,7 @@ from typing import Literal, Optional, cast
from langchain_core.documents import Document
from langchain_core.messages import AIMessage, BaseMessage, HumanMessage
from pydantic import BaseModel, model_validator
from langchain_core.messages import HumanMessage, AIMessage
class Record(BaseModel):

12
src/backend/base/langflow/services/database/models/variable/model.py
View file

@ -1,8 +1,8 @@
from datetime import datetime, timezone
from typing import TYPE_CHECKING, Optional
from typing import TYPE_CHECKING, List, Optional
from uuid import UUID, uuid4
from sqlmodel import Column, DateTime, Field, Relationship, SQLModel, func
from sqlmodel import JSON, Column, DateTime, Field, Relationship, SQLModel, func
if TYPE_CHECKING:
from langflow.services.database.models.user.model import User
@ -13,8 +13,9 @@ def utc_now():
class VariableBase(SQLModel):
name: Optional[str] = Field(None, description="Name of the variable")
value: Optional[str] = Field(None, description="Encrypted value of the variable")
name: str = Field(description="Name of the variable")
value: str = Field(description="Encrypted value of the variable")
default_fields: Optional[List[str]] = Field(sa_column=Column(JSON))
type: Optional[str] = Field(None, description="Type of the variable")
@ -35,6 +36,7 @@ class Variable(VariableBase, table=True):
sa_column=Column(DateTime(timezone=True), nullable=True),
description="Last update time of the variable",
)
default_fields: Optional[List[str]] = Field(sa_column=Column(JSON))
# foreign key to user table
user_id: UUID = Field(description="User ID associated with this variable", foreign_key="user.id")
user: "User" = Relationship(back_populates="variables")
@ -50,9 +52,11 @@ class VariableRead(SQLModel):
id: UUID
name: Optional[str] = Field(None, description="Name of the variable")
type: Optional[str] = Field(None, description="Type of the variable")
default_fields: Optional[List[str]] = Field(None, description="Default fields for the variable")
class VariableUpdate(SQLModel):
id: UUID # Include the ID for updating
name: Optional[str] = Field(None, description="Name of the variable")
value: Optional[str] = Field(None, description="Encrypted value of the variable")
default_fields: Optional[List[str]] = Field(None, description="Default fields for the variable")

26
src/backend/base/langflow/services/store/service.py
View file

@ -49,6 +49,27 @@ async def user_data_context(store_service: "StoreService", api_key: Optional[str
user_data_var.set(None)
def get_id_from_search_string(search_string: str) -> Optional[str]:
"""
Extracts the ID from a search string.
Args:
search_string (str): The search string to extract the ID from.
Returns:
Optional[str]: The extracted ID, or None if no ID is found.
"""
possible_id = search_string
if "www.langflow.store/store/" in search_string:
possible_id = search_string.split("/")[-1]
try:
possible_id = str(UUID(search_string))
except ValueError:
possible_id = None
return possible_id
class StoreService(Service):
"""This is a service that integrates langflow with the store which
is a Directus instance. It allows to search, get and post components to
@ -183,7 +204,10 @@ class StoreService(Service):
):
filter_conditions = []
if search is not None:
if component_id is None:
component_id = get_id_from_search_string(search) if search else None
if search is not None and component_id is None:
search_conditions = self.build_search_filter_conditions(search)
filter_conditions.append(search_conditions)

11
src/backend/base/langflow/services/variable/service.py
View file

@ -30,7 +30,14 @@ class VariableService(Service):
if var in os.environ:
logger.debug(f"Creating {var} variable from environment.")
try:
self.create_variable(user_id, var, os.environ[var], _type="Credential", session=session)
self.create_variable(
user_id=user_id,
name=var,
value=os.environ[var],
default_fields=[],
_type="Credential",
session=session,
)
except Exception as e:
logger.error(f"Error creating {var} variable: {e}")
@ -91,6 +98,7 @@ class VariableService(Service):
user_id: Union[UUID, str],
name: str,
value: str,
default_fields: list[str] = [],
_type: str = "Generic",
session: Session = Depends(get_session),
):
@ -98,6 +106,7 @@ class VariableService(Service):
name=name,
type=_type,
value=auth_utils.encrypt_api_key(value, settings_service=self.settings_service),
default_fields=default_fields,
)
variable = Variable.model_validate(variable_base, from_attributes=True, update={"user_id": user_id})
session.add(variable)

22
src/frontend/.eslintrc.json
View file

@ -1,7 +1,24 @@
{
"extends": ["eslint:recommended", "plugin:node/recommended"],
"extends": [
"eslint:recommended",
"plugin:react/recommended",
"plugin:prettier/recommended"
],
"plugins": ["react", "import-helpers", "prettier"],
"parser": "@typescript-eslint/parser",
"parserOptions": {
"ecmaVersion": 2018
"project": ["./tsconfig.node.json", "./tsconfig.json"],
"extraFileExtensions:": [".mdx"],
"extensions:": [".mdx"]
},
"env": {
"browser": true,
"es2021": true
},
"settings": {
"react": {
"version": "detect"
}
},
"rules": {
"no-console": "warn",
@ -16,6 +33,7 @@
"no-redeclare": "error",
"no-empty": "error",
"no-await-in-loop": "error",
"react/react-in-jsx-scope": 0,
"node/exports-style": ["error", "module.exports"],
"node/file-extension-in-import": ["error", "always"],
"node/prefer-global/buffer": ["error", "always"],

1
src/frontend/.prettierignore Normal file
View file

@ -0,0 +1 @@
build/*

649
src/frontend/package-lock.json generated
View file

File diff suppressed because it is too large Load diff

13
src/frontend/package.json
View file

@ -26,6 +26,7 @@
"@tailwindcss/line-clamp": "^0.4.4",
"@types/axios": "^0.14.0",
"ace-builds": "^1.24.1",
"ag-grid-community": "^31.2.1",
"ag-grid-react": "^31.2.1",
"ansi-to-html": "^0.7.2",
"axios": "^1.5.0",
@ -44,10 +45,10 @@
"moment": "^2.29.4",
"openseadragon": "^4.1.1",
"playwright": "^1.42.0",
"react": "^18.2.0",
"react": "^18.2.21",
"react-ace": "^10.1.0",
"react-cookie": "^4.1.1",
"react-dom": "^18.2.0",
"react-dom": "^18.2.21",
"react-error-boundary": "^4.0.11",
"react-icons": "^5.0.1",
"react-laag": "^2.0.5",
@ -74,9 +75,12 @@
"start": "vite",
"build": "vite build",
"serve": "vite preview",
"format": "npx prettier --write \"./**/*.{js,jsx,ts,tsx,json,md}\"",
"format": "npx prettier --write \"./**/*.{js,jsx,ts,tsx,json,md}\" --ignore-path .prettierignore",
"type-check": "tsc --noEmit --pretty --project tsconfig.json && vite"
},
"simple-git-hooks": {
"pre-commit": "npx pretty-quick --staged"
},
"eslintConfig": {
"extends": [
"react-app",
@ -120,10 +124,11 @@
"prettier-plugin-organize-imports": "^3.2.3",
"prettier-plugin-tailwindcss": "^0.3.0",
"pretty-quick": "^3.1.3",
"simple-git-hooks": "^2.11.1",
"tailwindcss": "^3.3.3",
"tailwindcss-dotted-background": "^1.1.0",
"typescript": "^5.2.2",
"ua-parser-js": "^1.0.37",
"vite": "^4.5.2"
}
}
}

14
src/frontend/src/App.css
View file

@ -96,6 +96,18 @@ body {
}
.custom-hover:hover {
background-color: rgba(99, 102, 241, 0.1); /* Medium indigo color with 20% opacity */
background-color: rgba(
99,
102,
241,
0.1
); /* Medium indigo color with 20% opacity */
}
.json-view-playground .json-view {
background-color: #fff !important;
}
.json-view-flow .json-view {
background-color: #bbb !important;
}

6
src/frontend/src/App.tsx
View file

@ -6,7 +6,7 @@ import "./App.css";
import ErrorAlert from "./alerts/error";
import NoticeAlert from "./alerts/notice";
import SuccessAlert from "./alerts/success";
import CrashErrorComponent from "./components/CrashErrorComponent";
import CrashErrorComponent from "./components/crashErrorComponent";
import FetchErrorComponent from "./components/fetchErrorComponent";
import LoadingComponent from "./components/loadingComponent";
import {
@ -22,7 +22,6 @@ import useFlowsManagerStore from "./stores/flowsManagerStore";
import { useGlobalVariablesStore } from "./stores/globalVariables";
import { useStoreStore } from "./stores/storeStore";
import { useTypesStore } from "./stores/typesStore";
export default function App() {
const removeFromTempNotificationList = useAlertStore(
(state) => state.removeFromTempNotificationList
@ -48,6 +47,9 @@ export default function App() {
const setGlobalVariables = useGlobalVariablesStore(
(state) => state.setGlobalVariables
);
const setUnavailableFields = useGlobalVariablesStore(
(state) => state.setUnavaliableFields
);
const checkHasStore = useStoreStore((state) => state.checkHasStore);
const navigate = useNavigate();
const dark = useDarkStore((state) => state.dark);

0
src/frontend/src/components/AccordionComponent/index.tsx → src/frontend/src/components/accordionComponent/index.tsx
View file

34
src/frontend/src/components/addNewVariableButtonComponent/addNewVariableButton.tsx
View file

@ -3,6 +3,7 @@ import { registerGlobalVariable } from "../../controllers/API";
import BaseModal from "../../modals/baseModal";
import useAlertStore from "../../stores/alertStore";
import { useGlobalVariablesStore } from "../../stores/globalVariables";
import { useTypesStore } from "../../stores/typesStore";
import { ResponseErrorDetailAPI } from "../../types/api";
import ForwardedIconComponent from "../genericIconComponent";
import InputComponent from "../inputComponent";
@ -16,25 +17,42 @@ import { Textarea } from "../ui/textarea";
export default function AddNewVariableButton({ children }): JSX.Element {
const [key, setKey] = useState("");
const [value, setValue] = useState("");
const [type, setType] = useState("");
const [type, setType] = useState("Generic");
const [fields, setFields] = useState<string[]>([]);
const [open, setOpen] = useState(false);
const setErrorData = useAlertStore((state) => state.setErrorData);
const componentFields = useTypesStore((state) => state.ComponentFields);
const unavaliableFields = new Set(
Object.keys(useGlobalVariablesStore((state) => state.unavaliableFields))
);
const availableFields = Array.from(componentFields).filter(
(field) => !unavaliableFields.has(field)
);
const addGlobalVariable = useGlobalVariablesStore(
(state) => state.addGlobalVariable
);
function handleSaveVariable() {
let data: { name: string; value: string; type?: string } = {
let data: {
name: string;
value: string;
type?: string;
default_fields?: string[];
} = {
name: key,
type,
value,
default_fields: fields,
};
registerGlobalVariable(data)
.then((res) => {
const { name, id, type } = res.data;
addGlobalVariable(name, id, type);
addGlobalVariable(name, id, type, fields);
setKey("");
setValue("");
setType("");
setFields([]);
setOpen(false);
})
.catch((error) => {
@ -79,6 +97,7 @@ export default function AddNewVariableButton({ children }): JSX.Element {
password={false}
options={["Generic", "Credential"]}
placeholder="Choose a type for the variable..."
id={"type-global-variables"}
></InputComponent>
<Label>Value</Label>
<Textarea
@ -89,6 +108,15 @@ export default function AddNewVariableButton({ children }): JSX.Element {
placeholder="Insert a value for the variable..."
className="w-full resize-none custom-scroll"
/>
<Label>Apply To Fields (optional)</Label>
<InputComponent
setSelectedOptions={(value) => setFields(value)}
selectedOptions={fields}
password={false}
options={availableFields}
placeholder="Choose a field for the variable..."
id={"apply-to-fields"}
></InputComponent>
</div>
</BaseModal.Content>
<BaseModal.Footer>

504
src/frontend/src/components/cardComponent/index.tsx
View file

@ -1,14 +1,16 @@
import { useEffect, useState } from "react";
import { getComponent, postLikeComponent } from "../../controllers/API";
import DeleteConfirmationModal from "../../modals/DeleteConfirmationModal";
import IOModal from "../../modals/IOModal";
import DeleteConfirmationModal from "../../modals/deleteConfirmationModal";
import useAlertStore from "../../stores/alertStore";
import useFlowStore from "../../stores/flowStore";
import useFlowsManagerStore from "../../stores/flowsManagerStore";
import { useStoreStore } from "../../stores/storeStore";
import { storeComponent } from "../../types/store";
import cloneFLowWithParent from "../../utils/storeUtils";
import { cn } from "../../utils/utils";
import ShadTooltip from "../ShadTooltipComponent";
import { cn, convertTestName } from "../../utils/utils";
import IconComponent from "../genericIconComponent";
import ShadTooltip from "../shadTooltipComponent";
import { Badge } from "../ui/badge";
import { Button } from "../ui/button";
import {
@ -18,37 +20,74 @@ import {
CardHeader,
CardTitle,
} from "../ui/card";
import Loading from "../ui/loading";
export default function CollectionCardComponent({
data,
authorized = true,
disabled = false,
button,
onClick,
onDelete,
playground,
}: {
data: storeComponent;
authorized?: boolean;
disabled?: boolean;
onClick?: () => void;
button?: JSX.Element;
playground?: boolean;
onDelete?: () => void;
}) {
const addFlow = useFlowsManagerStore((state) => state.addFlow);
const setSuccessData = useAlertStore((state) => state.setSuccessData);
const setErrorData = useAlertStore((state) => state.setErrorData);
const setValidApiKey = useStoreStore((state) => state.updateValidApiKey);
const cleanFlowPool = useFlowStore((state) => state.CleanFlowPool);
const isStore = false;
const [loading, setLoading] = useState(false);
const [loadingLike, setLoadingLike] = useState(false);
const [liked_by_user, setLiked_by_user] = useState(
data?.liked_by_user ?? false
data?.liked_by_user ?? false,
);
const [likes_count, setLikes_count] = useState(data?.liked_by_count ?? 0);
const [downloads_count, setDownloads_count] = useState(
data?.downloads_count ?? 0
data?.downloads_count ?? 0,
);
const currentFlow = useFlowsManagerStore((state) => state.currentFlow);
const setCurrentFlow = useFlowsManagerStore((state) => state.setCurrentFlow);
const getFlowById = useFlowsManagerStore((state) => state.getFlowById);
const currentFlowId = useFlowsManagerStore((state) => state.currentFlowId);
const setNodes = useFlowStore((state) => state.setNodes);
const setEdges = useFlowStore((state) => state.setEdges);
const [openPlayground, setOpenPlayground] = useState(false);
const [openDelete, setOpenDelete] = useState(false);
const setCurrentFlowId = useFlowsManagerStore(
(state) => state.setCurrentFlowId,
);
const [loadingPlayground, setLoadingPlayground] = useState(false);
const name = data.is_component ? "Component" : "Flow";
async function getFlowData() {
const res = await getComponent(data.id);
const newFlow = cloneFLowWithParent(res, res.id, data.is_component, true);
return newFlow;
}
useEffect(() => {
if (currentFlowId && playground) {
if (openPlayground) {
setNodes(currentFlow?.data?.nodes ?? [], true);
setEdges(currentFlow?.data?.edges ?? [], true);
} else {
setNodes([], true);
setEdges([], true);
}
cleanFlowPool();
}
}, [openPlayground]);
useEffect(() => {
if (data) {
setLiked_by_user(data?.liked_by_user ?? false);
@ -128,226 +167,337 @@ export default function CollectionCardComponent({
}
return (
<Card
className={cn(
"group relative flex min-h-[11rem] flex-col justify-between overflow-hidden transition-all hover:shadow-md",
disabled ? "pointer-events-none opacity-50" : ""
)}
>
<div>
<CardHeader>
<div>
<CardTitle className="flex w-full items-center justify-between gap-3 text-xl">
<IconComponent
className={cn(
"flex-shrink-0",
data.is_component
? "mx-0.5 h-6 w-6 text-component-icon"
: "h-7 w-7 flex-shrink-0 text-flow-icon"
)}
name={data.is_component ? "ToyBrick" : "Group"}
/>
<ShadTooltip content={data.name}>
<div className="w-full truncate">{data.name}</div>
</ShadTooltip>
{data?.metadata !== undefined && (
<div className="flex gap-3">
{data.private && (
<ShadTooltip content="Private">
<span className="flex items-center gap-1.5 text-xs text-muted-foreground">
<IconComponent name="Lock" className="h-4 w-4" />
</span>
</ShadTooltip>
<>
<Card
data-testid={`card-${convertTestName(data.name)}`}
className={cn(
"group relative flex min-h-[11rem] flex-col justify-between overflow-hidden transition-all hover:shadow-md",
disabled ? "pointer-events-none opacity-50" : "",
onClick ? "cursor-pointer" : "",
)}
onClick={onClick}
>
<div>
<CardHeader>
<div>
<CardTitle className="flex w-full items-center justify-between gap-3 text-xl">
<IconComponent
className={cn(
"flex-shrink-0",
data.is_component
? "mx-0.5 h-6 w-6 text-component-icon"
: "h-7 w-7 flex-shrink-0 text-flow-icon",
)}
{!data.is_component && (
<ShadTooltip content="Components">
name={data.is_component ? "ToyBrick" : "Group"}
/>
<ShadTooltip content={data.name}>
<div className="w-full truncate">{data.name}</div>
</ShadTooltip>
{data?.metadata !== undefined && (
<div className="flex gap-3">
{data.private && (
<ShadTooltip content="Private">
<span className="flex items-center gap-1.5 text-xs text-muted-foreground">
<IconComponent name="Lock" className="h-4 w-4" />
</span>
</ShadTooltip>
)}
{!data.is_component && (
<ShadTooltip content="Components">
<span className="flex items-center gap-1.5 text-xs text-muted-foreground">
<IconComponent name="ToyBrick" className="h-4 w-4" />
<span data-testid={`total-${data.name}`}>
{data?.metadata?.total ?? 0}
</span>
</span>
</ShadTooltip>
)}
<ShadTooltip content="Likes">
<span className="flex items-center gap-1.5 text-xs text-muted-foreground">
<IconComponent name="ToyBrick" className="h-4 w-4" />
<span data-testid={`total-${data.name}`}>
{data?.metadata?.total ?? 0}
<IconComponent
name="Heart"
className={cn("h-4 w-4 ")}
/>
<span data-testid={`likes-${data.name}`}>
{likes_count ?? 0}
</span>
</span>
</ShadTooltip>
)}
<ShadTooltip content="Likes">
<span className="flex items-center gap-1.5 text-xs text-muted-foreground">
<IconComponent name="Heart" className={cn("h-4 w-4 ")} />
<span data-testid={`likes-${data.name}`}>
{likes_count ?? 0}
<ShadTooltip content="Downloads">
<span className="flex items-center gap-1.5 text-xs text-muted-foreground">
<IconComponent
name="DownloadCloud"
className="h-4 w-4"
/>
<span data-testid={`downloads-${data.name}`}>
{downloads_count ?? 0}
</span>
</span>
</span>
</ShadTooltip>
<ShadTooltip content="Downloads">
<span className="flex items-center gap-1.5 text-xs text-muted-foreground">
<IconComponent name="DownloadCloud" className="h-4 w-4" />
<span data-testid={`downloads-${data.name}`}>
{downloads_count ?? 0}
</span>
</span>
</ShadTooltip>
</div>
)}
</ShadTooltip>
</div>
)}
{onDelete && data?.metadata === undefined && (
<DeleteConfirmationModal
onConfirm={() => {
onDelete();
{onDelete && data?.metadata === undefined && (
<button
onClick={(e) => {
e.stopPropagation();
setOpenDelete(true);
}}
>
<IconComponent
name="Trash2"
className="h-5 w-5 text-primary opacity-0 transition-all hover:text-destructive group-hover:opacity-100"
/>
</button>
)}
</CardTitle>
</div>
<div className="flex gap-2">
{data.user_created && data.user_created.username && (
<span className="text-sm text-primary">
by <b>{data.user_created.username}</b>
{data.last_tested_version && (
<>
{" "}
|{" "}
<span className="text-xs">
{" "}
⛓︎ v{data.last_tested_version}
</span>
</>
)}
</span>
)}
<div className="flex w-full flex-1 flex-wrap gap-2">
{data.tags &&
data.tags.length > 0 &&
data.tags.map((tag, index) => (
<Badge
key={index}
variant="outline"
size="xq"
className="text-muted-foreground"
>
{tag.name}
</Badge>
))}
</div>
</div>
<CardDescription className="pb-2 pt-2">
<div className="truncate-doubleline">{data.description}</div>
</CardDescription>
</CardHeader>
</div>
<CardFooter>
<div className="flex w-full items-center justify-between gap-2">
<div className="flex w-full flex-wrap items-end justify-between gap-2">
{playground && data?.metadata !== undefined ? (
<Button
disabled={loadingPlayground}
key={data.id}
tabIndex={-1}
variant="outline"
size="sm"
className="gap-2 whitespace-nowrap"
data-testid={"playground-flow-button-" + data.id}
onClick={(e) => {
e.preventDefault();
e.stopPropagation();
setLoadingPlayground(true);
if (getFlowById(data.id)) {
setCurrentFlowId(data.id);
setOpenPlayground(true);
setLoadingPlayground(false);
} else {
getFlowData().then((res) => {
setCurrentFlow(res);
setOpenPlayground(true);
setLoadingPlayground(false);
});
}
}}
>
<IconComponent
name="Trash2"
className="h-5 w-5 text-primary opacity-0 transition-all hover:text-destructive group-hover:opacity-100"
/>
</DeleteConfirmationModal>
)}
</CardTitle>
</div>
{data.user_created && data.user_created.username && (
<span className="text-sm text-primary">
by <b>{data.user_created.username}</b>
{data.last_tested_version && (
<>
{" "}
|{" "}
<span className="text-xs">
{" "}
⛓︎ v{data.last_tested_version}
</span>
</>
)}
</span>
)}
<CardDescription className="pb-2 pt-2">
<div className="truncate-doubleline">{data.description}</div>
</CardDescription>
</CardHeader>
</div>
<CardFooter>
<div className="flex w-full items-center justify-between gap-2">
<div className="flex w-full flex-wrap items-end justify-between gap-2">
<div className="flex w-full flex-1 flex-wrap gap-2">
{data.tags &&
data.tags.length > 0 &&
data.tags.map((tag, index) => (
<Badge
key={index}
variant="outline"
size="xq"
className="text-muted-foreground"
>
{tag.name}
</Badge>
))}
</div>
{data.liked_by_count != undefined && (
<div className="flex gap-0.5">
{onDelete && data?.metadata !== undefined ? (
<ShadTooltip
content={
authorized ? "Delete" : "Please review your API key."
}
>
<DeleteConfirmationModal
onConfirm={() => {
onDelete();
}}
{!loadingPlayground ? (
<IconComponent
name="BotMessageSquareIcon"
className="h-4 w-4 select-none"
/>
) : (
<Loading className="h-4 w-4 text-medium-indigo" />
)}
Playground
</Button>
) : undefined}
{data.liked_by_count != undefined && (
<div className="flex gap-0.5">
{onDelete && data?.metadata !== undefined ? (
<ShadTooltip
content={
authorized ? "Delete" : "Please review your API key."
}
>
<DeleteConfirmationModal
onConfirm={() => {
onDelete();
}}
>
<Button
variant="ghost"
size="icon"
className={
"whitespace-nowrap" +
(!authorized ? " cursor-not-allowed" : "")
}
>
<IconComponent
data-testid={`delete-${convertTestName(data.name)}`}
name="Trash2"
className={cn(
"h-5 w-5",
!authorized ? " text-ring" : "",
)}
/>
</Button>
</DeleteConfirmationModal>
</ShadTooltip>
) : (
<ShadTooltip
content={
authorized ? "Like" : "Please review your API key."
}
>
<Button
disabled={loadingLike}
variant="ghost"
size="icon"
className={
"whitespace-nowrap" +
(!authorized ? " cursor-not-allowed" : "")
}
onClick={() => {
if (!authorized) {
return;
}
handleLike();
}}
data-testid={`like-${data.name}`}
>
<IconComponent
name="Trash2"
name="Heart"
className={cn(
"h-5 w-5",
!authorized ? " text-ring" : ""
liked_by_user
? "fill-destructive stroke-destructive"
: "",
!authorized ? " text-ring" : "",
)}
/>
</Button>
</DeleteConfirmationModal>
</ShadTooltip>
) : (
</ShadTooltip>
)}
<ShadTooltip
content={
authorized ? "Like" : "Please review your API key."
authorized
? isStore
? "Download"
: "Install Locally"
: "Please review your API key."
}
>
<Button
disabled={loadingLike}
disabled={loading}
variant="ghost"
size="icon"
className={
"whitespace-nowrap" +
(!authorized ? " cursor-not-allowed" : "")
(!authorized ? " cursor-not-allowed" : "") +
(!loading ? " p-0.5" : "")
}
onClick={() => {
if (!authorized) {
if (loading || !authorized) {
return;
}
handleLike();
handleInstall();
}}
data-testid={`like-${data.name}`}
data-testid={`install-${data.name}`}
>
<IconComponent
name="Heart"
name={
loading ? "Loader2" : isStore ? "Download" : "Plus"
}
className={cn(
"h-5 w-5",
liked_by_user
? "fill-destructive stroke-destructive"
: "",
!authorized ? " text-ring" : ""
loading ? "h-5 w-5 animate-spin" : "h-5 w-5",
!authorized ? " text-ring" : "",
)}
/>
</Button>
</ShadTooltip>
)}
<ShadTooltip
content={
authorized
? isStore
? "Download"
: "Install Locally"
: "Please review your API key."
}
>
<Button
disabled={loading}
variant="ghost"
size="icon"
className={
"whitespace-nowrap" +
(!authorized ? " cursor-not-allowed" : "") +
(!loading ? " p-0.5" : "")
</div>
)}
{button && button}
{playground && data?.metadata === undefined && (
<Button
disabled={loadingPlayground}
key={data.id}
tabIndex={-1}
variant="outline"
size="sm"
className="gap-2 whitespace-nowrap"
data-testid={"playground-flow-button-" + data.id}
onClick={(e) => {
e.preventDefault();
e.stopPropagation();
setLoadingPlayground(true);
if (getFlowById(data.id)) {
setCurrentFlowId(data.id);
setOpenPlayground(true);
setLoadingPlayground(false);
} else {
getFlowData().then((res) => {
setCurrentFlow(res);
setOpenPlayground(true);
setLoadingPlayground(false);
});
}
onClick={() => {
if (loading || !authorized) {
return;
}
handleInstall();
}}
data-testid={`install-${data.name}`}
>
}}
>
{!loadingPlayground ? (
<IconComponent
name={loading ? "Loader2" : isStore ? "Download" : "Plus"}
className={cn(
loading ? "h-5 w-5 animate-spin" : "h-5 w-5",
!authorized ? " text-ring" : ""
)}
name="BotMessageSquareIcon"
className="h-4 w-4 select-none"
/>
</Button>
</ShadTooltip>
</div>
)}
{button && button}
) : (
<Loading className="h-4 w-4 text-medium-indigo" />
)}
Playground
</Button>
)}
</div>
</div>
</div>
</CardFooter>
</Card>
</CardFooter>
</Card>
{openPlayground && (
<IOModal
cleanOnClose={true}
open={openPlayground}
setOpen={setOpenPlayground}
>
<></>
</IOModal>
)}
{openDelete && (
<DeleteConfirmationModal
open={openDelete}
setOpen={setOpenDelete}
onConfirm={() => {
if (onDelete) onDelete();
}}
>
<></>
</DeleteConfirmationModal>
)}
</>
);
}

12
src/frontend/src/components/chatComponent/index.tsx
View file

@ -1,7 +1,7 @@
import { Transition } from "@headlessui/react";
import { useEffect, useMemo, useRef, useState } from "react";
import ApiModal from "../../modals/ApiModal";
import IOModal from "../../modals/IOModal";
import ApiModal from "../../modals/apiModal";
import ShareModal from "../../modals/shareModal";
import useFlowStore from "../../stores/flowStore";
import useFlowsManagerStore from "../../stores/flowsManagerStore";
@ -87,15 +87,15 @@ export default function FlowToolbar(): JSX.Element {
}
>
<div className="flex">
<div className="flex h-full w-full gap-1 rounded-sm text-medium-indigo transition-all">
<div className="flex h-full w-full gap-1 rounded-sm transition-all">
{hasIO ? (
<IOModal open={open} setOpen={setOpen} disable={!hasIO}>
<div className="relative inline-flex w-full items-center justify-center gap-1 px-5 py-3 text-sm font-semibold text-medium-indigo transition-all transition-all duration-500 ease-in-out ease-in-out hover:bg-hover">
<div className="relative inline-flex w-full items-center justify-center gap-1 px-5 py-3 text-sm font-semibold transition-all duration-500 ease-in-out hover:bg-hover">
<ForwardedIconComponent
name="Zap"
className={"message-button-icon h-5 w-5 transition-all"}
name="BotMessageSquareIcon"
className={" h-5 w-5 transition-all"}
/>
Run
Playground
</div>
</IOModal>
) : (

10
src/frontend/src/components/codeTabsComponent/index.tsx
View file

@ -2,7 +2,6 @@ import { cloneDeep } from "lodash";
import { useEffect, useState } from "react";
import { Prism as SyntaxHighlighter } from "react-syntax-highlighter";
import { oneDark } from "react-syntax-highlighter/dist/cjs/styles/prism";
import AccordionComponent from "../../components/AccordionComponent";
import CodeAreaComponent from "../../components/codeAreaComponent";
import Dropdown from "../../components/dropdownComponent";
import FloatComponent from "../../components/floatComponent";
@ -36,11 +35,12 @@ import {
hasDuplicateKeys,
} from "../../utils/reactflowUtils";
import { classNames } from "../../utils/utils";
import ShadTooltip from "../ShadTooltipComponent";
import AccordionComponent from "../accordionComponent";
import DictComponent from "../dictComponent";
import IconComponent from "../genericIconComponent";
import KeypairListComponent from "../keypairListComponent";
import InputComponent from "../inputComponent";
import KeypairListComponent from "../keypairListComponent";
import ShadTooltip from "../shadTooltipComponent";
export default function CodeTabsComponent({
flow,
@ -267,7 +267,7 @@ export default function CodeTabsComponent({
<div className="mx-auto">
{node.data.node.template[
templateField
].list ? (
]?.list ? (
<InputListComponent
componentName={
templateField
@ -733,7 +733,7 @@ export default function CodeTabsComponent({
isList={
node.data.node!.template[
templateField
].list ?? false
]?.list ?? false
}
/>
</div>

0
src/frontend/src/components/CrashErrorComponent/index.tsx → src/frontend/src/components/crashErrorComponent/index.tsx
View file

0
src/frontend/src/components/DropdownButtonComponent/index.tsx → src/frontend/src/components/dropdownButtonComponent/index.tsx
View file

87
src/frontend/src/components/dropdownComponent/index.tsx
View file

@ -1,3 +1,4 @@
import { PopoverAnchor } from "@radix-ui/react-popover";
import { useRef, useState } from "react";
import { DropDownComponentType } from "../../types/components";
import { cn } from "../../utils/utils";
@ -13,6 +14,7 @@ import {
} from "../ui/command";
import {
Popover,
PopoverContent,
PopoverContentWithoutPortal,
PopoverTrigger,
} from "../ui/popover";
@ -25,50 +27,63 @@ export default function Dropdown({
onSelect,
editNode = false,
id = "",
children,
}: DropDownComponentType): JSX.Element {
const [open, setOpen] = useState(false);
const [open, setOpen] = useState(children ? true : false);
const refButton = useRef<HTMLButtonElement>(null);
const PopoverContentDropdown = children
? PopoverContent
: PopoverContentWithoutPortal;
return (
<>
{Object.keys(options)?.length > 0 ? (
<>
<Popover open={open} onOpenChange={setOpen}>
<PopoverTrigger asChild>
<Button
disabled={disabled}
variant="primary"
size="xs"
role="combobox"
ref={refButton}
aria-expanded={open}
data-testid={`${id ?? ""}`}
className={cn(
editNode
? "dropdown-component-outline"
: "dropdown-component-false-outline",
"w-full justify-between font-normal",
editNode ? "input-edit-node" : "py-2"
)}
>
<span data-testid={`value-dropdown-` + id}>
{value &&
value !== "" &&
options.find((option) => option === value)
? options.find((option) => option === value)
: "Choose an option..."}
</span>
<Popover open={open} onOpenChange={children ? () => {} : setOpen}>
{children ? (
<PopoverAnchor>{children}</PopoverAnchor>
) : (
<PopoverTrigger asChild>
<Button
disabled={disabled}
variant="primary"
size="xs"
role="combobox"
ref={refButton}
aria-expanded={open}
data-testid={`${id ?? ""}`}
className={cn(
editNode
? "dropdown-component-outline"
: "dropdown-component-false-outline",
"w-full justify-between font-normal",
editNode ? "input-edit-node" : "py-2"
)}
>
<span data-testid={`value-dropdown-` + id}>
{value &&
value !== "" &&
options.find((option) => option === value)
? options.find((option) => option === value)
: "Choose an option..."}
</span>
<ForwardedIconComponent
name="ChevronsUpDown"
className="ml-2 h-4 w-4 shrink-0 opacity-50"
/>
</Button>
</PopoverTrigger>
<PopoverContentWithoutPortal
className="nocopy nowheel nopan nodelete nodrag noundo w-full p-0"
style={{ minWidth: refButton?.current?.clientWidth ?? "200px" }}
<ForwardedIconComponent
name="ChevronsUpDown"
className="ml-2 h-4 w-4 shrink-0 opacity-50"
/>
</Button>
</PopoverTrigger>
)}
<PopoverContentDropdown
className="nocopy nowheel nopan nodelete nodrag noundo p-0"
style={
children
? {}
: { minWidth: refButton?.current?.clientWidth ?? "200px" }
}
>
<Command>
<CommandInput placeholder="Search options..." className="h-9" />
@ -98,7 +113,7 @@ export default function Dropdown({
</CommandGroup>
</CommandList>
</Command>
</PopoverContentWithoutPortal>
</PopoverContentDropdown>
</Popover>
</>
) : (

0
src/frontend/src/components/EditFlowSettingsComponent/index.tsx → src/frontend/src/components/editFlowSettingsComponent/index.tsx
View file

2
src/frontend/src/components/exampleComponent/index.tsx
View file

@ -3,8 +3,8 @@ import useFlowsManagerStore from "../../stores/flowsManagerStore";
import { FlowType } from "../../types/flow";
import { updateIds } from "../../utils/reactflowUtils";
import { cn } from "../../utils/utils";
import ShadTooltip from "../ShadTooltipComponent";
import IconComponent from "../genericIconComponent";
import ShadTooltip from "../shadTooltipComponent";
import { Button } from "../ui/button";
import {
Card,

2
src/frontend/src/components/gradientChooserComponent/index.tsx
View file

@ -2,7 +2,7 @@ import { gradients } from "../../utils/styleUtils";
export default function GradientChooserComponent({ value, onChange }) {
return (
<div className="flex flex-wrap items-center justify-center gap-4">
<div className="flex flex-wrap items-center justify-start gap-2">
{gradients.map((gradient, idx) => (
<div
onClick={() => {

2
src/frontend/src/components/headerComponent/components/menuBar/index.tsx
View file

@ -17,8 +17,8 @@ import useAlertStore from "../../../../stores/alertStore";
import useFlowStore from "../../../../stores/flowStore";
import useFlowsManagerStore from "../../../../stores/flowsManagerStore";
import { cn } from "../../../../utils/utils";
import ShadTooltip from "../../../ShadTooltipComponent";
import IconComponent from "../../../genericIconComponent";
import ShadTooltip from "../../../shadTooltipComponent";
import { Button } from "../../../ui/button";
export const MenuBar = ({

87
src/frontend/src/components/headerComponent/index.tsx
View file

@ -168,50 +168,57 @@ export default function Header(): JSX.Element {
/>
</button>
)}
{!autoLogin && (
<>
<Separator orientation="vertical" />
<DropdownMenu>
<DropdownMenuTrigger asChild>
<button
className={
"h-7 w-7 rounded-full focus-visible:outline-0 " +
(userData?.profile_image ??
gradients[
parseInt(userData?.id ?? "", 30) % gradients.length
])
}
/>
</DropdownMenuTrigger>
<DropdownMenuContent>
<DropdownMenuLabel>My Account</DropdownMenuLabel>
<DropdownMenuSeparator />
{isAdmin && (
<>
<Separator orientation="vertical" />
<DropdownMenu>
<DropdownMenuTrigger asChild>
<button
data-testid="user-profile-settings"
className={
"h-7 w-7 rounded-full focus-visible:outline-0 " +
(userData?.profile_image ??
(userData?.id
? gradients[
parseInt(userData?.id ?? "", 30) % gradients.length
]
: "bg-gray-500"))
}
/>
</DropdownMenuTrigger>
<DropdownMenuContent>
<DropdownMenuLabel>General</DropdownMenuLabel>
<DropdownMenuItem
className="cursor-pointer"
onClick={() => navigate("/settings")}
>
Settings
</DropdownMenuItem>
{!autoLogin && (
<>
<DropdownMenuSeparator />
<DropdownMenuLabel>My Account</DropdownMenuLabel>
{isAdmin && (
<DropdownMenuItem
className="cursor-pointer"
onClick={() => navigate("/admin")}
>
Admin Page
</DropdownMenuItem>
)}
<DropdownMenuItem
className="cursor-pointer"
onClick={() => navigate("/admin")}
onClick={() => {
logout();
}}
>
Admin Page
Sign Out
</DropdownMenuItem>
)}
<DropdownMenuItem
className="cursor-pointer"
onClick={() => navigate("/account/settings")}
>
Profile Settings
</DropdownMenuItem>
<DropdownMenuItem
className="cursor-pointer"
onClick={() => {
logout();
}}
>
Sign Out
</DropdownMenuItem>
</DropdownMenuContent>
</DropdownMenu>
</>
)}
</>
)}
</DropdownMenuContent>
</DropdownMenu>
</>
</div>
</div>
</div>

48
src/frontend/src/components/inputComponent/index.tsx
View file

@ -33,6 +33,8 @@ export default function InputComponent({
optionsIcon = "ChevronsUpDown",
selectedOption,
setSelectedOption,
selectedOptions = [],
setSelectedOptions,
options = [],
optionsPlaceholder = "Search options...",
optionsButton,
@ -101,13 +103,18 @@ export default function InputComponent({
value={
(selectedOption !== "" || !onChange) && setSelectedOption
? selectedOption
: (selectedOptions?.length !== 0 || !onChange) &&
setSelectedOptions
? selectedOptions?.join(", ")
: value
}
autoFocus={autoFocus}
disabled={disabled}
onClick={() => {
(selectedOption !== "" || !onChange) &&
setSelectedOption &&
(((selectedOption !== "" || !onChange) &&
setSelectedOption) ||
((selectedOptions?.length !== 0 || !onChange) &&
setSelectedOptions)) &&
setShowOptions(true);
}}
required={required}
@ -119,9 +126,11 @@ export default function InputComponent({
? " text-clip password "
: "",
editNode ? " input-edit-node " : "",
password && setSelectedOption ? "pr-[62.9px]" : "",
(!password && setSelectedOption) ||
(password && !setSelectedOption)
password && (setSelectedOption || setSelectedOptions)
? "pr-[62.9px]"
: "",
(!password && (setSelectedOption || setSelectedOptions)) ||
(password && !(setSelectedOption || setSelectedOptions))
? "pr-8"
: "",
@ -164,7 +173,10 @@ export default function InputComponent({
>
<Command
filter={(value, search) => {
if (value.includes(search) || value.includes("doNotFilter-"))
if (
value.toLowerCase().includes(search.toLowerCase()) ||
value.includes("doNotFilter-")
)
return 1; // ensures items arent filtered
return 0;
}}
@ -184,7 +196,15 @@ export default function InputComponent({
? ""
: currentValue
);
setShowOptions(false);
setSelectedOptions &&
setSelectedOptions(
selectedOptions?.includes(currentValue)
? selectedOptions.filter(
(item) => item !== currentValue
)
: [...selectedOptions, currentValue]
);
!setSelectedOptions && setShowOptions(false);
}}
>
<div className="group flex w-full items-center justify-between">
@ -192,7 +212,8 @@ export default function InputComponent({
<div
className={cn(
"relative mr-2 h-4 w-4",
selectedOption === option
selectedOption === option ||
selectedOptions?.includes(option)
? "opacity-100"
: "opacity-0"
)}
@ -226,14 +247,19 @@ export default function InputComponent({
</PopoverContentWithoutPortal>
</Popover>
<div
data-testid={"popover-anchor-" + id}
className={cn(
"pointer-events-auto absolute inset-y-0 h-full w-full cursor-pointer",
(selectedOption !== "" || !onChange) && setSelectedOption
((selectedOption !== "" || !onChange) && setSelectedOption) ||
((selectedOptions?.length !== 0 || !onChange) &&
setSelectedOptions)
? ""
: "hidden"
)}
onClick={
(selectedOption !== "" || !onChange) && setSelectedOption
((selectedOption !== "" || !onChange) && setSelectedOption) ||
((selectedOptions?.length !== 0 || !onChange) &&
setSelectedOptions)
? (e) => {
setShowOptions((old) => !old);
e.preventDefault();
@ -245,7 +271,7 @@ export default function InputComponent({
</>
)}
{setSelectedOption && (
{(setSelectedOption || setSelectedOptions) && (
<span
className={cn(
password && selectedOption === "" ? "right-8" : "right-0",

43
src/frontend/src/components/inputGlobalComponent/index.tsx
View file

@ -1,9 +1,8 @@
import { useEffect } from "react";
import { deleteGlobalVariable } from "../../controllers/API";
import DeleteConfirmationModal from "../../modals/DeleteConfirmationModal";
import DeleteConfirmationModal from "../../modals/deleteConfirmationModal";
import useAlertStore from "../../stores/alertStore";
import { useGlobalVariablesStore } from "../../stores/globalVariables";
import { ResponseErrorDetailAPI } from "../../types/api";
import { InputGlobalComponentType } from "../../types/components";
import { cn } from "../../utils/utils";
import AddNewVariableButton from "../addNewVariableButtonComponent/addNewVariableButton";
@ -24,6 +23,9 @@ export default function InputGlobalComponent({
);
const getVariableId = useGlobalVariablesStore((state) => state.getVariableId);
const unavaliableFields = useGlobalVariablesStore(
(state) => state.unavaliableFields
);
const removeGlobalVariable = useGlobalVariablesStore(
(state) => state.removeGlobalVariable
);
@ -35,16 +37,35 @@ export default function InputGlobalComponent({
!globalVariablesEntries.includes(data.node?.template[name].value) &&
data.node?.template[name].load_from_db
) {
onChange("");
setDb(false);
setTimeout(() => {
onChange("");
setDb(false);
}, 100);
}
}, [globalVariablesEntries]);
function handleDelete(key: string) {
useEffect(() => {
if (
!data.node?.template[name].value &&
data.node?.template[name].display_name
) {
if (
unavaliableFields[data.node?.template[name].display_name!] &&
!disabled
) {
setTimeout(() => {
setDb(true);
onChange(unavaliableFields[data.node?.template[name].display_name!]);
}, 100);
}
}
}, [unavaliableFields]);
async function handleDelete(key: string) {
const id = getVariableId(key);
if (id !== undefined) {
deleteGlobalVariable(id)
.then((_) => {
await deleteGlobalVariable(id)
.then(() => {
removeGlobalVariable(key);
if (
data?.node?.template[name].value === key &&
@ -54,11 +75,10 @@ export default function InputGlobalComponent({
setDb(false);
}
})
.catch((error) => {
let responseError = error as ResponseErrorDetailAPI;
.catch(() => {
setErrorData({
title: "Error deleting variable",
list: [responseError.response.data.detail ?? "Unknown error"],
list: [cn("ID not found for variable: ", key)],
});
});
} else {
@ -117,7 +137,8 @@ export default function InputGlobalComponent({
</DeleteConfirmationModal>
)}
selectedOption={
data?.node?.template[name].load_from_db ?? false
data?.node?.template[name].load_from_db &&
globalVariablesEntries.includes(data?.node?.template[name].value ?? "")
? data?.node?.template[name].value
: ""
}

13
src/frontend/src/components/inputListComponent/index.tsx
View file

@ -12,6 +12,7 @@ export default function InputListComponent({
disabled,
editNode = false,
componentName,
playgroundDisabled,
}: InputListComponentType): JSX.Element {
useEffect(() => {
if (disabled && value.length > 0 && value[0] !== "") {
@ -24,7 +25,7 @@ export default function InputListComponent({
value = [value];
}
if (!value.length) value = [""];
if (!value?.length) value = [""];
return (
<div
@ -37,7 +38,7 @@ export default function InputListComponent({
return (
<div key={idx} className="flex w-full gap-3">
<Input
disabled={disabled}
disabled={disabled || playgroundDisabled}
type="text"
value={singleValue}
className={editNode ? "input-edit-node" : ""}
@ -64,6 +65,7 @@ export default function InputListComponent({
editNode ? "-edit" : ""
}_${componentName}-` + idx
}
disabled={disabled || playgroundDisabled}
>
<IconComponent
name="Plus"
@ -82,10 +84,15 @@ export default function InputListComponent({
newInputList.splice(idx, 1);
onChange(newInputList);
}}
disabled={disabled || playgroundDisabled}
>
<IconComponent
name="X"
className="h-4 w-4 hover:text-status-red"
className={`h-4 w-4 ${
disabled || playgroundDisabled
? ""
: "hover:text-accent-foreground"
}`}
/>
</button>
)}

8
src/frontend/src/components/keypairListComponent/index.tsx
View file

@ -20,7 +20,13 @@ export default function KeypairListComponent({
}
}, [disabled]);
const ref = useRef(value.length === 0 ? [{ "": "" }] : value);
const checkValueType = (value) => {
return Array.isArray(value) ? value : [value];
};
const ref = useRef<any>([]);
ref.current =
!value || value?.length === 0 ? [{ "": "" }] : checkValueType(value);
useEffect(() => {
if (JSON.stringify(value) !== JSON.stringify(ref.current)) {

0
src/frontend/src/components/PaginatorComponent/index.tsx → src/frontend/src/components/paginatorComponent/index.tsx
View file

0
src/frontend/src/components/SanitizedHTMLWrapper/index.tsx → src/frontend/src/components/sanitizedHTMLWrapper/index.tsx
View file

0
src/frontend/src/components/ShadTooltipComponent/index.tsx → src/frontend/src/components/shadTooltipComponent/index.tsx
View file

29
src/frontend/src/components/tableComponent/index.tsx Normal file
View file

@ -0,0 +1,29 @@
import "ag-grid-community/styles/ag-grid.css"; // Mandatory CSS required by the grid
import "ag-grid-community/styles/ag-theme-quartz.css"; // Optional Theme applied to the grid
import { AgGridReact } from "ag-grid-react";
import { ComponentPropsWithoutRef, ElementRef, forwardRef } from "react";
import { useDarkStore } from "../../stores/darkStore";
import "../../style/ag-theme-shadcn.css"; // Custom CSS applied to the grid
import { cn } from "../../utils/utils";
const TableComponent = forwardRef<
ElementRef<typeof AgGridReact>,
ComponentPropsWithoutRef<typeof AgGridReact>
>(({ pagination = true, ...props }, ref) => {
const dark = useDarkStore((state) => state.dark);
return (
<div className="flex h-full flex-col">
<div
className={cn(
dark ? "ag-theme-quartz-dark" : "ag-theme-quartz",
"ag-theme-shadcn flex h-full flex-col"
)} // applying the grid theme
>
<AgGridReact ref={ref} {...props} />
</div>
</div>
);
});
export default TableComponent;

0
src/frontend/src/components/ViewTriggers/chat/index.tsx → src/frontend/src/components/viewTriggers/chat/index.tsx
View file

11
src/frontend/src/constants/constants.ts
View file

@ -711,13 +711,22 @@ export const LANGFLOW_SUPPORTED_TYPES = new Set([
export const priorityFields = new Set(["code", "template"]);
export const INPUT_TYPES = new Set(["ChatInput", "TextInput", "KeyPairInput"]);
export const INPUT_TYPES = new Set([
"ChatInput",
"TextInput",
"KeyPairInput",
"JsonInput",
"StringListInput",
]);
export const OUTPUT_TYPES = new Set([
"ChatOutput",
"TextOutput",
"PDFOutput",
"ImageOutput",
"CSVOutput",
"JsonOutput",
"KeyPairOutput",
"StringListOutput",
]);
export const CHAT_FIRST_INITIAL_TEXT =

61
src/frontend/src/controllers/API/index.ts
View file

@ -1,5 +1,5 @@
import { AxiosResponse } from "axios";
import { ReactFlowJsonObject } from "reactflow";
import { AxiosRequestConfig, AxiosResponse } from "axios";
import { Edge, ReactFlowJsonObject,Node } from "reactflow";
import { BASE_URL_API } from "../../constants/constants";
import { api } from "../../controllers/API/api";
import {
@ -862,13 +862,14 @@ export async function requestLogout() {
}
export async function getGlobalVariables(): Promise<{
[key: string]: { id: string; type: string };
[key: string]: { id: string; type: string; default_fields: string[] };
}> {
const globalVariables = {};
(await api.get(`${BASE_URL_API}variables/`)).data.forEach((element) => {
globalVariables[element.name] = {
id: element.id,
type: element.type,
default_fields: element.default_fields,
};
});
return globalVariables;
@ -878,20 +879,33 @@ export async function registerGlobalVariable({
name,
value,
type,
default_fields = [],
}: {
name: string;
value: string;
type?: string;
default_fields?: string[];
}): Promise<AxiosResponse<{ name: string; id: string; type: string }>> {
return await api.post(`${BASE_URL_API}variables/`, {
name,
value,
type,
});
try {
const response = await api.post(`${BASE_URL_API}variables/`, {
name,
value,
type,
default_fields: default_fields,
});
return response;
} catch (error) {
throw error;
}
}
export async function deleteGlobalVariable(id: string) {
api.delete(`${BASE_URL_API}variables/${id}`);
try {
const response = await api.delete(`${BASE_URL_API}variables/${id}`);
return response;
} catch (error) {
throw error;
}
}
export async function updateGlobalVariable(
@ -899,26 +913,41 @@ export async function updateGlobalVariable(
value: string,
id: string
) {
api.patch(`${BASE_URL_API}variables/${id}`, {
name,
value,
});
try {
const response = api.patch(`${BASE_URL_API}variables/${id}`, {
name,
value,
});
return response;
} catch (error) {
throw error;
}
}
export async function getVerticesOrder(
flowId: string,
startNodeId?: string | null,
stopNodeId?: string | null
stopNodeId?: string | null,
nodes?:Node[],
Edges?:Edge[]
): Promise<AxiosResponse<VerticesOrderTypeAPI>> {
// nodeId is optional and is a query parameter
// if nodeId is not provided, the API will return all vertices
const config = {};
const config:AxiosRequestConfig<any> = {};
if (stopNodeId) {
config["params"] = { stop_component_id: stopNodeId };
} else if (startNodeId) {
config["params"] = { start_component_id: startNodeId };
}
return await api.get(`${BASE_URL_API}build/${flowId}/vertices`, config);
const data = {
data:{}
}
if(nodes && Edges){
data["data"]["nodes"] = nodes
data["data"]["edges"] = Edges
}
return await api.post(`${BASE_URL_API}build/${flowId}/vertices`,data, config);
}
export async function postBuildVertex(

4
src/frontend/src/CustomNodes/GenericNode/components/parameterComponent/index.tsx → src/frontend/src/customNodes/genericNode/components/parameterComponent/index.tsx
View file

@ -1,7 +1,6 @@
import { cloneDeep } from "lodash";
import React, { ReactNode, useEffect, useRef, useState } from "react";
import { Handle, Position, useUpdateNodeInternals } from "reactflow";
import ShadTooltip from "../../../../components/ShadTooltipComponent";
import CodeAreaComponent from "../../../../components/codeAreaComponent";
import DictComponent from "../../../../components/dictComponent";
import Dropdown from "../../../../components/dropdownComponent";
@ -13,6 +12,7 @@ import InputListComponent from "../../../../components/inputListComponent";
import IntComponent from "../../../../components/intComponent";
import KeypairListComponent from "../../../../components/keypairListComponent";
import PromptAreaComponent from "../../../../components/promptComponent";
import ShadTooltip from "../../../../components/shadTooltipComponent";
import TextAreaComponent from "../../../../components/textAreaComponent";
import ToggleShadComponent from "../../../../components/toggleShadComponent";
import { Button } from "../../../../components/ui/button";
@ -618,7 +618,7 @@ export default function ParameterComponent({
<FloatComponent
disabled={disabled}
value={data.node?.template[name].value ?? ""}
rangeSpec={data.node?.template[name].rangeSpec}
rangeSpec={data.node?.template[name]?.rangeSpec}
onChange={handleOnNewValue}
/>
</div>

8
src/frontend/src/CustomNodes/GenericNode/index.tsx → src/frontend/src/customNodes/genericNode/index.tsx
View file

@ -1,9 +1,9 @@
import { cloneDeep } from "lodash";
import { useCallback, useEffect, useMemo, useState } from "react";
import { NodeToolbar, useUpdateNodeInternals } from "reactflow";
import ShadTooltip from "../../components/ShadTooltipComponent";
import IconComponent from "../../components/genericIconComponent";
import InputComponent from "../../components/inputComponent";
import ShadTooltip from "../../components/shadTooltipComponent";
import { Button } from "../../components/ui/button";
import Checkmark from "../../components/ui/checkmark";
import Loading from "../../components/ui/loading";
@ -645,7 +645,11 @@ export default function GenericNode({
variant="secondary"
className={"group h-9 px-1.5"}
>
<div>
<div
data-testid={
`button_run_` + data?.node?.display_name.toLowerCase()
}
>
<div className="generic-node-status-position flex items-center justify-center">
{renderIconStatus(buildStatus, validationStatus)}
</div>

45
src/frontend/src/modals/IOModal/components/IOFieldView/components/JSONInput/index.tsx Normal file
View file

@ -0,0 +1,45 @@
import { useEffect, useRef } from "react";
import JsonView from "react18-json-view";
import { useDarkStore } from "../../../../../../stores/darkStore";
import { DictComponentType } from "../../../../../../types/components";
export default function IoJsonInput({
value = [],
onChange,
left,
output,
}: DictComponentType): JSX.Element {
useEffect(() => {
if (value) onChange(value);
}, [value]);
const isDark = useDarkStore((state) => state.dark);
const ref = useRef<any>(null);
ref.current = value;
const getClassNames = () => {
if (!isDark && !left) return "json-view-playground-white";
if (!isDark && left) return "json-view-playground-white-left";
if (isDark && left) return "json-view-playground-dark-left";
if (isDark && !left) return "json-view-playground-dark";
};
return (
<div className="w-full">
<JsonView
className={getClassNames()}
theme="vscode"
dark={isDark}
editable={!output}
enableClipboard
onEdit={(edit) => {
ref.current = edit["src"];
}}
onChange={(edit) => {
ref.current = edit["src"];
}}
src={ref.current}
/>
</div>
);
}

107
src/frontend/src/modals/IOModal/components/IOFieldView/components/keyPairInput/index.tsx Normal file
View file

@ -0,0 +1,107 @@
import _ from "lodash";
import { useRef } from "react";
import IconComponent from "../../../../../../components/genericIconComponent";
import { Input } from "../../../../../../components/ui/input";
import { classNames } from "../../../../../../utils/utils";
export type IOKeyPairInputProps = {
value: any;
onChange: (value: any) => void;
duplicateKey: boolean;
isList: boolean;
isInputField?: boolean;
};
const IOKeyPairInput = ({
value,
onChange,
duplicateKey,
isList = true,
isInputField,
}: IOKeyPairInputProps) => {
const checkValueType = (value) => {
return Array.isArray(value) ? value : [value];
};
const ref = useRef<any>([]);
ref.current =
!value || value?.length === 0 ? [{ "": "" }] : checkValueType(value);
const handleChangeKey = (event, idx) => {
const oldKey = Object.keys(ref.current[idx])[0];
const updatedObj = { [event.target.value]: ref.current[idx][oldKey] };
ref.current[idx] = updatedObj;
onChange(ref.current);
};
const handleChangeValue = (newValue, idx) => {
const key = Object.keys(ref.current[idx])[0];
ref.current[idx][key] = newValue;
onChange(ref.current);
};
return (
<>
<div className={classNames("flex h-full flex-col gap-3")}>
{ref.current?.map((obj, index) => {
return Object.keys(obj).map((key, idx) => {
return (
<div key={idx} className="flex w-full gap-2">
<Input
type="text"
value={key.trim()}
className={classNames(duplicateKey ? "input-invalid" : "")}
placeholder="Type key..."
onChange={(event) => handleChangeKey(event, index)}
disabled={!isInputField}
/>
<Input
type="text"
value={obj[key]}
placeholder="Type a value..."
onChange={(event) =>
handleChangeValue(event.target.value, index)
}
disabled={!isInputField}
/>
{isList && isInputField && index === ref.current.length - 1 ? (
<button
onClick={() => {
let newInputList = _.cloneDeep(ref.current);
newInputList.push({ "": "" });
onChange(newInputList);
}}
>
<IconComponent
name="Plus"
className={"h-4 w-4 hover:text-accent-foreground"}
/>
</button>
) : isList && isInputField ? (
<button
onClick={() => {
let newInputList = _.cloneDeep(ref.current);
newInputList.splice(index, 1);
onChange(newInputList);
}}
>
<IconComponent
name="X"
className="h-4 w-4 hover:text-status-red"
/>
</button>
) : (
""
)}
</div>
);
});
})}
</div>
</>
);
};
export default IOKeyPairInput;

112
src/frontend/src/modals/IOModal/components/IOFieldView/index.tsx
View file

@ -1,6 +1,8 @@
import { cloneDeep } from "lodash";
import { useState } from "react";
import ImageViewer from "../../../../components/ImageViewer";
import CsvOutputComponent from "../../../../components/csvOutputComponent";
import InputListComponent from "../../../../components/inputListComponent";
import PdfViewer from "../../../../components/pdfViewer";
import {
Select,
@ -15,7 +17,13 @@ import { PDFViewConstant } from "../../../../constants/constants";
import { InputOutput } from "../../../../constants/enums";
import useFlowStore from "../../../../stores/flowStore";
import { IOFieldViewProps } from "../../../../types/components";
import {
convertValuesToNumbers,
hasDuplicateKeys,
} from "../../../../utils/reactflowUtils";
import IOFileInput from "./components/FileInput";
import IoJsonInput from "./components/JSONInput";
import IOKeyPairInput from "./components/keyPairInput";
export default function IOFieldView({
type,
@ -39,6 +47,7 @@ export default function IOFieldView({
}
}
};
const [errorDuplicateKey, setErrorDuplicateKey] = useState(false);
function handleOutputType() {
if (!node) return <>"No node found!"</>;
@ -78,6 +87,57 @@ export default function IOFieldView({
/>
);
case "KeyPairInput":
return (
<IOKeyPairInput
value={node.data.node!.template["input_value"]?.value}
onChange={(e) => {
if (node) {
let newNode = cloneDeep(node);
newNode.data.node!.template["input_value"].value = e;
setNode(node.id, newNode);
}
const valueToNumbers = convertValuesToNumbers(e);
setErrorDuplicateKey(hasDuplicateKeys(valueToNumbers));
}}
duplicateKey={errorDuplicateKey}
isList={node.data.node!.template["input_value"]?.list ?? false}
isInputField
/>
);
case "JsonInput":
return (
<IoJsonInput
value={node.data.node!.template["input_value"]?.value}
onChange={(e) => {
if (node) {
let newNode = cloneDeep(node);
newNode.data.node!.template["input_value"].value = e;
setNode(node.id, newNode);
}
}}
left={left}
/>
);
case "StringListInput":
return (
<>
<InputListComponent
value={node.data.node!.template["input_value"]?.value}
onChange={(e) => {
if (node) {
let newNode = cloneDeep(node);
newNode.data.node!.template["input_value"].value = e;
setNode(node.id, newNode);
}
}}
disabled={false}
/>
</>
);
default:
return (
<Textarea
@ -169,6 +229,58 @@ export default function IOFieldView({
/>
);
case "JsonOutput":
return (
<IoJsonInput
value={node.data.node!.template["input_value"]?.value}
onChange={(e) => {
if (node) {
let newNode = cloneDeep(node);
newNode.data.node!.template["input_value"].value = e;
setNode(node.id, newNode);
}
}}
left={left}
output
/>
);
case "KeyPairOutput":
return (
<IOKeyPairInput
value={node.data.node!.template["input_value"]?.value}
onChange={(e) => {
if (node) {
let newNode = cloneDeep(node);
newNode.data.node!.template["input_value"].value = e;
setNode(node.id, newNode);
}
const valueToNumbers = convertValuesToNumbers(e);
setErrorDuplicateKey(hasDuplicateKeys(valueToNumbers));
}}
duplicateKey={errorDuplicateKey}
isList={node.data.node!.template["input_value"]?.list ?? false}
/>
);
case "StringListOutput":
return (
<>
<InputListComponent
value={node.data.node!.template["input_value"]?.value}
onChange={(e) => {
if (node) {
let newNode = cloneDeep(node);
newNode.data.node!.template["input_value"].value = e;
setNode(node.id, newNode);
}
}}
playgroundDisabled
disabled={false}
/>
</>
);
default:
return (
<Textarea

5
src/frontend/src/modals/IOModal/components/chatView/chatMessage/index.tsx
View file

@ -6,9 +6,9 @@ import remarkGfm from "remark-gfm";
import remarkMath from "remark-math";
import MaleTechnology from "../../../../../assets/male-technologist.png";
import Robot from "../../../../../assets/robot.png";
import SanitizedHTMLWrapper from "../../../../../components/SanitizedHTMLWrapper";
import CodeTabsComponent from "../../../../../components/codeTabsComponent";
import IconComponent from "../../../../../components/genericIconComponent";
import SanitizedHTMLWrapper from "../../../../../components/sanitizedHTMLWrapper";
import useAlertStore from "../../../../../stores/alertStore";
import useFlowStore from "../../../../../stores/flowStore";
import { chatMessagePropsType } from "../../../../../types/components";
@ -271,7 +271,7 @@ dark:prose-invert"
</div>
</div>
) : (
<div>
<div className="form-modal-chat-text-position min-w-96 flex-grow">
{template ? (
<>
<button
@ -324,6 +324,7 @@ dark:prose-invert"
</>
) : (
<span
className="prose text-primary word-break-break-word dark:prose-invert"
data-testid={
"chat-message-" + chat.sender_name + "-" + chatMessage
}

46
src/frontend/src/modals/IOModal/index.tsx
View file

@ -1,7 +1,7 @@
import { useEffect, useState } from "react";
import AccordionComponent from "../../components/AccordionComponent";
import ShadTooltip from "../../components/ShadTooltipComponent";
import AccordionComponent from "../../components/accordionComponent";
import IconComponent from "../../components/genericIconComponent";
import ShadTooltip from "../../components/shadTooltipComponent";
import { Badge } from "../../components/ui/badge";
import { Button } from "../../components/ui/button";
import {
@ -34,25 +34,25 @@ export default function IOModal({
}: IOModalPropsType): JSX.Element {
const allNodes = useFlowStore((state) => state.nodes);
const inputs = useFlowStore((state) => state.inputs).filter(
(input) => input.type !== "ChatInput"
(input) => input.type !== "ChatInput",
);
const chatInput = useFlowStore((state) => state.inputs).find(
(input) => input.type === "ChatInput"
(input) => input.type === "ChatInput",
);
const outputs = useFlowStore((state) => state.outputs).filter(
(output) => output.type !== "ChatOutput"
(output) => output.type !== "ChatOutput",
);
const chatOutput = useFlowStore((state) => state.outputs).find(
(output) => output.type === "ChatOutput"
(output) => output.type === "ChatOutput",
);
const nodes = useFlowStore((state) => state.nodes).filter(
(node) =>
inputs.some((input) => input.id === node.id) ||
outputs.some((output) => output.id === node.id)
outputs.some((output) => output.id === node.id),
);
const haveChat = chatInput || chatOutput;
const [selectedTab, setSelectedTab] = useState(
inputs.length > 0 ? 1 : outputs.length > 0 ? 2 : 0
inputs.length > 0 ? 1 : outputs.length > 0 ? 2 : 0,
);
function startView() {
@ -83,12 +83,6 @@ export default function IOModal({
return updateVerticesOrder(currentFlow!.id, null);
}
useEffect(() => {
if (open) {
updateVertices();
}
}, [open, currentFlow]);
async function sendMessage(count = 1): Promise<void> {
if (isBuilding) return;
setIsBuilding(true);
@ -123,7 +117,7 @@ export default function IOModal({
return (
<BaseModal
size={selectedTab === 0 ? "large-thin" : "large"}
size={selectedTab === 0 ? "large-thin" : "md-thin"}
open={open}
setOpen={setOpen}
disable={disable}
@ -132,9 +126,9 @@ export default function IOModal({
{/* TODO ADAPT TO ALL TYPES OF INPUTS AND OUTPUTS */}
<BaseModal.Header description={CHAT_FORM_DIALOG_SUBTITLE}>
<div className="flex items-center">
<span className="pr-2">Interaction Panel</span>
<span className="pr-2">Playground</span>
<IconComponent
name="prompts"
name="BotMessageSquareIcon"
className="h-6 w-6 pl-1 text-foreground"
aria-hidden="true"
/>
@ -146,7 +140,7 @@ export default function IOModal({
{selectedTab !== 0 && (
<div
className={cn(
"mr-6 flex h-full w-2/6 flex-shrink-0 flex-col justify-start transition-all duration-300"
"mr-6 flex h-full w-2/6 flex-shrink-0 flex-col justify-start transition-all duration-300",
)}
>
<Tabs
@ -179,11 +173,11 @@ export default function IOModal({
</div>
{nodes
.filter((node) =>
inputs.some((input) => input.id === node.id)
inputs.some((input) => input.id === node.id),
)
.map((node, index) => {
const input = inputs.find(
(input) => input.id === node.id
(input) => input.id === node.id,
)!;
return (
<div
@ -247,11 +241,11 @@ export default function IOModal({
</div>
{nodes
.filter((node) =>
outputs.some((output) => output.id === node.id)
outputs.some((output) => output.id === node.id),
)
.map((node, index) => {
const output = outputs.find(
(output) => output.id === node.id
(output) => output.id === node.id,
)!;
return (
<div
@ -314,7 +308,7 @@ export default function IOModal({
<div
className={cn(
"flex h-full w-full flex-col items-start gap-4 pt-4",
!selectedViewField ? "hidden" : ""
!selectedViewField ? "hidden" : "",
)}
>
<div className="font-xl flex items-center justify-center gap-3 font-semibold">
@ -333,7 +327,7 @@ export default function IOModal({
</div>
<div className="h-full w-full">
{inputs.some(
(input) => input.id === selectedViewField.id
(input) => input.id === selectedViewField.id,
) ? (
<IOFieldView
type={InputOutput.INPUT}
@ -355,7 +349,7 @@ export default function IOModal({
<div
className={cn(
"flex h-full w-full",
selectedViewField ? "hidden" : ""
selectedViewField ? "hidden" : "",
)}
>
{haveChat ? (
@ -390,7 +384,7 @@ export default function IOModal({
"h-4 w-4",
isBuilding
? "animate-spin"
: "fill-current text-medium-indigo"
: "fill-current text-medium-indigo",
)}
/>
Run Flow

0
src/frontend/src/modals/ApiModal/index.tsx → src/frontend/src/modals/apiModal/index.tsx
View file

17
src/frontend/src/modals/baseModal/index.tsx
View file

@ -63,7 +63,7 @@ interface BaseModalProps {
React.ReactElement<ContentProps>,
React.ReactElement<HeaderProps>,
React.ReactElement<TriggerProps>?,
React.ReactElement<FooterProps>?
React.ReactElement<FooterProps>?,
];
open?: boolean;
setOpen?: (open: boolean) => void;
@ -78,6 +78,7 @@ interface BaseModalProps {
| "large-h-full"
| "small-h-full"
| "medium-h-full"
| "md-thin"
| "smaller-h-full";
disable?: boolean;
@ -93,16 +94,16 @@ function BaseModal({
type = "dialog",
}: BaseModalProps) {
const headerChild = React.Children.toArray(children).find(
(child) => (child as React.ReactElement).type === Header
(child) => (child as React.ReactElement).type === Header,
);
const triggerChild = React.Children.toArray(children).find(
(child) => (child as React.ReactElement).type === Trigger
(child) => (child as React.ReactElement).type === Trigger,
);
const ContentChild = React.Children.toArray(children).find(
(child) => (child as React.ReactElement).type === Content
(child) => (child as React.ReactElement).type === Content,
);
const ContentFooter = React.Children.toArray(children).find(
(child) => (child as React.ReactElement).type === Footer
(child) => (child as React.ReactElement).type === Footer,
);
let minWidth: string;
@ -147,6 +148,12 @@ function BaseModal({
minWidth = "min-w-[65vw]";
height = "h-[80vh]";
break;
case "md-thin":
minWidth = "min-w-[85vw]";
height = "h-[70vh]";
break;
case "large-h-full":
minWidth = "min-w-[80vw]";
break;

2
src/frontend/src/modals/ConfirmationModal/index.tsx → src/frontend/src/modals/confirmationModal/index.tsx
View file

@ -1,5 +1,5 @@
import React, { useEffect, useState } from "react";
import ShadTooltip from "../../components/ShadTooltipComponent";
import ShadTooltip from "../../components/shadTooltipComponent";
import { Button } from "../../components/ui/button";
import {
ConfirmationModalType,

6
src/frontend/src/modals/DeleteConfirmationModal/index.tsx → src/frontend/src/modals/deleteConfirmationModal/index.tsx
View file

@ -15,14 +15,18 @@ export default function DeleteConfirmationModal({
onConfirm,
description,
asChild,
open,
setOpen,
}: {
children: JSX.Element;
onConfirm: (e: React.MouseEvent<HTMLButtonElement, MouseEvent>) => void;
description?: string;
asChild?: boolean;
open?: boolean;
setOpen?: (open: boolean) => void;
}) {
return (
<Dialog>
<Dialog open={open} onOpenChange={setOpen}>
<DialogTrigger asChild={asChild} tabIndex={-1}>
{children}
</DialogTrigger>

6
src/frontend/src/modals/dictAreaModal/index.tsx
View file

@ -11,6 +11,7 @@ import "react18-json-view/src/style.css";
import IconComponent from "../../components/genericIconComponent";
import { Button } from "../../components/ui/button";
import { CODE_DICT_DIALOG_SUBTITLE } from "../../constants/constants";
import { useDarkStore } from "../../stores/darkStore";
import BaseModal from "../baseModal";
export default function DictAreaModal({
@ -19,7 +20,7 @@ export default function DictAreaModal({
value,
}): JSX.Element {
const [open, setOpen] = useState(false);
const isDark = useDarkStore((state) => state.dark);
const ref = useRef(value);
useEffect(() => {
@ -41,7 +42,8 @@ export default function DictAreaModal({
<div className="flex h-full w-full flex-col transition-all ">
<JsonView
theme="vscode"
dark={true}
dark={isDark}
className={!isDark ? "json-view-white" : "json-view-dark"}
editable
enableClipboard
onEdit={(edit) => {

10
src/frontend/src/modals/EditNodeModal/index.tsx → src/frontend/src/modals/editNodeModal/index.tsx
View file

@ -1,6 +1,5 @@
import { cloneDeep } from "lodash";
import { forwardRef, useEffect, useState } from "react";
import ShadTooltip from "../../components/ShadTooltipComponent";
import CodeAreaComponent from "../../components/codeAreaComponent";
import DictComponent from "../../components/dictComponent";
import Dropdown from "../../components/dropdownComponent";
@ -12,6 +11,7 @@ import InputListComponent from "../../components/inputListComponent";
import IntComponent from "../../components/intComponent";
import KeypairListComponent from "../../components/keypairListComponent";
import PromptAreaComponent from "../../components/promptComponent";
import ShadTooltip from "../../components/shadTooltipComponent";
import TextAreaComponent from "../../components/textAreaComponent";
import ToggleShadComponent from "../../components/toggleShadComponent";
import { Badge } from "../../components/ui/badge";
@ -203,7 +203,7 @@ const EditNodeModal = forwardRef(
!myData.node.template[templateParam].options ? (
<div className="mx-auto">
{myData.node.template[templateParam]
.list ? (
?.list ? (
<InputListComponent
componentName={templateParam}
editNode={true}
@ -345,7 +345,7 @@ const EditNodeModal = forwardRef(
}}
isList={
data.node?.template[templateParam]
.list ?? false
?.list ?? false
}
/>
</div>
@ -420,6 +420,10 @@ const EditNodeModal = forwardRef(
.type === "int" ? (
<div className="mx-auto">
<IntComponent
rangeSpec={
data.node?.template[templateParam]
?.rangeSpec
}
id={
"edit-int-input-" +
myData.node.template[templateParam].name

2
src/frontend/src/modals/exportModal/index.tsx
View file

@ -1,5 +1,5 @@
import { ReactNode, forwardRef, useEffect, useState } from "react";
import EditFlowSettings from "../../components/EditFlowSettingsComponent";
import EditFlowSettings from "../../components/editFlowSettingsComponent";
import IconComponent from "../../components/genericIconComponent";
import { Button } from "../../components/ui/button";
import { Checkbox } from "../../components/ui/checkbox";

2
src/frontend/src/modals/flowSettingsModal/index.tsx
View file

@ -1,5 +1,5 @@
import { useEffect, useState } from "react";
import EditFlowSettings from "../../components/EditFlowSettingsComponent";
import EditFlowSettings from "../../components/editFlowSettingsComponent";
import IconComponent from "../../components/genericIconComponent";
import { Button } from "../../components/ui/button";
import { SETTINGS_DIALOG_SUBTITLE } from "../../constants/constants";

4
src/frontend/src/modals/genericModal/index.tsx
View file

@ -1,7 +1,7 @@
import { useEffect, useRef, useState } from "react";
import SanitizedHTMLWrapper from "../../components/SanitizedHTMLWrapper";
import ShadTooltip from "../../components/ShadTooltipComponent";
import IconComponent from "../../components/genericIconComponent";
import SanitizedHTMLWrapper from "../../components/sanitizedHTMLWrapper";
import ShadTooltip from "../../components/shadTooltipComponent";
import { Badge } from "../../components/ui/badge";
import { Button } from "../../components/ui/button";
import { Textarea } from "../../components/ui/textarea";

0
src/frontend/src/modals/NewFlowModal/components/NewFlowCardComponent/index.tsx → src/frontend/src/modals/newFlowModal/components/NewFlowCardComponent/index.tsx
View file

0
src/frontend/src/modals/NewFlowModal/components/undrawCards/index.tsx → src/frontend/src/modals/newFlowModal/components/undrawCards/index.tsx
View file

0
src/frontend/src/modals/NewFlowModal/index.tsx → src/frontend/src/modals/newFlowModal/index.tsx
View file

0
src/frontend/src/modals/nodeModal/components/modalField/index.tsx Normal file
View file

0
src/frontend/src/modals/SecretKeyModal/index.tsx → src/frontend/src/modals/secretKeyModal/index.tsx
View file

46
src/frontend/src/modals/shareModal/index.tsx
View file

@ -1,6 +1,6 @@
import { Loader2 } from "lucide-react";
import { ReactNode, useEffect, useMemo, useState } from "react";
import EditFlowSettings from "../../components/EditFlowSettingsComponent";
import EditFlowSettings from "../../components/editFlowSettingsComponent";
import IconComponent from "../../components/genericIconComponent";
import { TagsSelector } from "../../components/tagsSelectorComponent";
import { Button } from "../../components/ui/button";
@ -23,8 +23,8 @@ import {
removeGlobalVariableFromComponents,
} from "../../utils/reactflowUtils";
import { getTagsIds } from "../../utils/storeUtils";
import ConfirmationModal from "../ConfirmationModal";
import BaseModal from "../baseModal";
import ConfirmationModal from "../confirmationModal";
import ExportModal from "../exportModal";
export default function ShareModal({
@ -207,8 +207,9 @@ export default function ShareModal({
{children ? children : <></>}
</BaseModal.Trigger>
<BaseModal.Header
description={`Publish ${is_component ? "your component" : "workflow"
} to the Langflow Store.`}
description={`Publish ${
is_component ? "your component" : "workflow"
} to the Langflow Store.`}
>
<span className="pr-2">Share</span>
<IconComponent
@ -251,34 +252,35 @@ export default function ShareModal({
<BaseModal.Footer>
<div className="flex w-full justify-between gap-2">
{!is_component && <ExportModal>
{!is_component && (
<ExportModal>
<Button
type="button"
variant="outline"
className="gap-2"
onClick={() => {
// (setOpen || internalSetOpen)(false);
}}
>
<IconComponent name="Download" className="h-4 w-4" />
Export
</Button>
</ExportModal>
)}
{is_component && (
<Button
type="button"
variant="outline"
className="gap-2"
onClick={() => {
// (setOpen || internalSetOpen)(false);
(setOpen || internalSetOpen)(false);
handleExportComponent();
}}
>
<IconComponent name="Download" className="h-4 w-4" />
Export
</Button>
</ExportModal>
}
{is_component && <Button
type="button"
variant="outline"
className="gap-2"
onClick={() => {
(setOpen || internalSetOpen)(false);
handleExportComponent();
}}
>
<IconComponent name="Download" className="h-4 w-4" />
Export
</Button>
}
)}
<Button
disabled={loadingNames}
type="button"

4
src/frontend/src/modals/StoreApiKeyModal/index.tsx → src/frontend/src/modals/storeApiKeyModal/index.tsx
View file

@ -86,6 +86,7 @@ export default function StoreApiKeyModal({
<Form.Root
onSubmit={(event) => {
event.preventDefault();
handleSaveKey();
}}
>
<div className="grid gap-5">
@ -131,9 +132,6 @@ export default function StoreApiKeyModal({
<Button
data-testid="api-key-save-button-store"
className="mt-8"
onClick={() => {
handleSaveKey();
}}
>
Save
</Button>

0
src/frontend/src/modals/UserManagementModal/index.tsx → src/frontend/src/modals/userManagementModal/index.tsx
View file

8
src/frontend/src/pages/AdminPage/index.tsx
View file

@ -1,10 +1,10 @@
import { cloneDeep } from "lodash";
import { useContext, useEffect, useRef, useState } from "react";
import PaginatorComponent from "../../components/PaginatorComponent";
import ShadTooltip from "../../components/ShadTooltipComponent";
import IconComponent from "../../components/genericIconComponent";
import Header from "../../components/headerComponent";
import LoadingComponent from "../../components/loadingComponent";
import PaginatorComponent from "../../components/paginatorComponent";
import ShadTooltip from "../../components/shadTooltipComponent";
import { Button } from "../../components/ui/button";
import { CheckBoxDiv } from "../../components/ui/checkbox";
import { Input } from "../../components/ui/input";
@ -35,8 +35,8 @@ import {
getUsersPage,
updateUser,
} from "../../controllers/API";
import ConfirmationModal from "../../modals/ConfirmationModal";
import UserManagementModal from "../../modals/UserManagementModal";
import ConfirmationModal from "../../modals/confirmationModal";
import UserManagementModal from "../../modals/userManagementModal";
import useAlertStore from "../../stores/alertStore";
import useFlowsManagerStore from "../../stores/flowsManagerStore";
import { Users } from "../../types/api";

6
src/frontend/src/pages/ApiKeysPage/index.tsx
View file

@ -1,6 +1,6 @@
import { useContext, useEffect, useRef, useState } from "react";
import ShadTooltip from "../../components/ShadTooltipComponent";
import IconComponent from "../../components/genericIconComponent";
import ShadTooltip from "../../components/shadTooltipComponent";
import { Button } from "../../components/ui/button";
import {
Table,
@ -12,8 +12,8 @@ import {
} from "../../components/ui/table";
import { AuthContext } from "../../contexts/authContext";
import { deleteApiKey, getApiKey } from "../../controllers/API";
import ConfirmationModal from "../../modals/ConfirmationModal";
import SecretKeyModal from "../../modals/SecretKeyModal";
import ConfirmationModal from "../../modals/confirmationModal";
import SecretKeyModal from "../../modals/secretKeyModal";
import moment from "moment";
import Header from "../../components/headerComponent";

0
src/frontend/src/pages/deleteAccountPage/index.tsx → src/frontend/src/pages/DeleteAccountPage/index.tsx
View file

Some files were not shown because too many files have changed in this diff Show more