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.github/workflows/docker-build.yml vendored
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@ -80,7 +80,10 @@ jobs:
langflowai/langflow-frontend:1.0-alpha
restart-space:
name: Restart HuggingFace Spaces
if: ${{ inputs.release_type == 'main' }}
runs-on: ubuntu-latest
needs: docker_build
strategy:
matrix:
python-version:

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.github/workflows/pre-release.yml vendored
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@ -35,6 +35,10 @@ jobs:
with:
python-version: "3.10"
cache: "poetry"
- name: Set up Nodejs 20
uses: actions/setup-node@v4
with:
node-version: "20"
- name: Check Version
id: check-version
run: |

1
Makefile
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@ -168,6 +168,7 @@ build_and_install:
build_frontend:
cd src/frontend && CI='' npm run build
rm -rf src/backend/base/langflow/frontend
cp -r src/frontend/build src/backend/base/langflow/frontend
build:

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docker/build_and_push.Dockerfile
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@ -1,6 +1,14 @@
# syntax=docker/dockerfile:1
# Keep this syntax directive! It's used to enable Docker BuildKit
FROM node:20-bookworm-slim as builder-node
WORKDIR /app
COPY src/frontend/package.json src/frontend/package-lock.json ./
RUN npm install
COPY src/frontend/ ./
RUN npm run build
################################
# BUILDER-BASE
# Used to build deps + create our virtual environment
@ -47,12 +55,11 @@ WORKDIR /app
COPY pyproject.toml poetry.lock README.md ./
COPY src/ ./src
COPY scripts/ ./scripts
RUN python -m pip install requests --user && cd ./scripts && python update_dependencies.py
COPY --from=builder-node /app/build ./src/backend/base/langflow/frontend
RUN $POETRY_HOME/bin/poetry lock --no-update \
&& $POETRY_HOME/bin/poetry install --no-interaction --no-ansi -E deploy \
&& $POETRY_HOME/bin/poetry build -f wheel \
&& $POETRY_HOME/bin/poetry run pip install dist/*.whl
&& $POETRY_HOME/bin/poetry run pip install dist/*.whl --force-reinstall
################################
# RUNTIME

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docs/docs/administration/api.mdx
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@ -10,8 +10,7 @@ Langflow provides an API key functionality that allows users to access their ind
The default user and password are set using the LANGFLOW_SUPERUSER and
LANGFLOW_SUPERUSER_PASSWORD environment variables.
The default values are
langflow and langflow, respectively.
The default values are `langflow` and `langflow`, respectively.
</Admonition>

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docs/docs/administration/cli.mdx
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@ -1,62 +1,51 @@
# Command Line Interface (CLI)
## Overview
Langflow's Command Line Interface (CLI) is a powerful tool that allows you to interact with the Langflow server from the command line. The CLI provides a wide range of commands to help you shape Langflow to your needs.
Running the CLI without any arguments will display a list of available commands and options.
The available commands are below. Navigate to their individual sections of this page to see the parameters.
* [langflow](#overview)
* [langflow api-key](#langflow-api-key)
* [langflow copy-db](#langflow-copy-db)
* [langflow migration](#langflow-migration)
* [langflow run](#langflow-run)
* [langflow superuser](#langflow-superuser)
## Overview
Running the CLI without any arguments displays a list of available options and commands.
```bash
python -m langflow run --help
langflow
# or
python -m langflow run
langflow --help
# or
python -m langflow
```
Each option for `run` command are detailed below:
| Command | Description |
| ------- | ----------- |
| `api-key` | Creates an API key for the default superuser if AUTO_LOGIN is enabled. |
| `copy-db` | Copy the database files to the current directory (`which langflow`). |
| `migration` | Run or test migrations. |
| `run` | Run the Langflow. |
| `superuser` | Create a superuser. |
- `--help`: Displays all available options.
- `--host`: Defines the host to bind the server to. Can be set using the `LANGFLOW_HOST` environment variable. The default is `127.0.0.1`.
- `--workers`: Sets the number of worker processes. Can be set using the `LANGFLOW_WORKERS` environment variable. The default is `1`.
- `--timeout`: Sets the worker timeout in seconds. The default is `60`.
- `--port`: Sets the port to listen on. Can be set using the `LANGFLOW_PORT` environment variable. The default is `7860`.
- `--env-file`: Specifies the path to the .env file containing environment variables. The default is `.env`.
- `--log-level`: Defines the logging level. Can be set using the `LANGFLOW_LOG_LEVEL` environment variable. The default is `critical`.
- `--components-path`: Specifies the path to the directory containing custom components. Can be set using the `LANGFLOW_COMPONENTS_PATH` environment variable. The default is `langflow/components`.
- `--log-file`: Specifies the path to the log file. Can be set using the `LANGFLOW_LOG_FILE` environment variable. The default is `logs/langflow.log`.
- `--cache`: Select the type of cache to use. Options are `InMemoryCache` and `SQLiteCache`. Can be set using the `LANGFLOW_LANGCHAIN_CACHE` environment variable. The default is `SQLiteCache`.
- `--dev/--no-dev`: Toggles the development mode. The default is `no-dev`.
- `--path`: Specifies the path to the frontend directory containing build files. This option is for development purposes only. Can be set using the `LANGFLOW_FRONTEND_PATH` environment variable.
- `--open-browser/--no-open-browser`: Toggles the option to open the browser after starting the server. Can be set using the `LANGFLOW_OPEN_BROWSER` environment variable. The default is `open-browser`.
- `--remove-api-keys/--no-remove-api-keys`: Toggles the option to remove API keys from the projects saved in the database. Can be set using the `LANGFLOW_REMOVE_API_KEYS` environment variable. The default is `no-remove-api-keys`.
- `--install-completion [bash|zsh|fish|powershell|pwsh]`: Installs completion for the specified shell.
- `--show-completion [bash|zsh|fish|powershell|pwsh]`: Shows completion for the specified shell, allowing you to copy it or customize the installation.
- `--backend-only`: This parameter, with a default value of `False`, allows running only the backend server without the frontend. It can also be set using the `LANGFLOW_BACKEND_ONLY` environment variable.
- `--store`: This parameter, with a default value of `True`, enables the store features, use `--no-store` to deactivate it. It can be configured using the `LANGFLOW_STORE` environment variable.
### Options
These parameters are important for users who need to customize the behavior of Langflow, especially in development or specialized deployment scenarios.
| Option | Description |
| ------ | ----------- |
| `--install-completion` | Install completion for the current shell. |
| `--show-completion` | Show completion for the current shell, to copy it or customize the installation. |
| `--help` | Show this message and exit. |
### API Key Command
## langflow api-key
The `api-key` command allows you to create an API key for accessing Langflow's API when `LANGFLOW_AUTO_LOGIN` is set to `True`.
```bash
python -m langflow api-key --help
Usage: langflow api-key [OPTIONS]
Creates an API key for the default superuser if AUTO_LOGIN is enabled.
Args: log_level (str, optional): Logging level. Defaults to "error".
Returns: None
╭─ Options ───────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╮
│ --log-level TEXT Logging level. [env var: LANGFLOW_LOG_LEVEL] [default: error] │
│ --help Show this message and exit. │
╰─────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────────╯
```
Once you run the `api-key` command, it will create an API key for the default superuser if `LANGFLOW_AUTO_LOGIN` is set to `True`.
Run the `api-key` command to create an API key for the default superuser if `LANGFLOW_AUTO_LOGIN` is set to `True`.
```bash
langflow api-key
# or
python -m langflow api-key
╭─────────────────────────────────────────────────────────────────────╮
│ API Key Created Successfully: │
@ -67,11 +56,99 @@ python -m langflow api-key
│ Make sure to store it in a secure location. │
│ │
│ The API key has been copied to your clipboard. Cmd + V to paste it. │
╰─────────────────────────────────────────────────────────────────────╯
╰──────────────────────────────
```
### Environment Variables
### Options
| Option | Type | Description |
|------------------|------|-------------------------------------------------------------|
| --log-level | TEXT | Logging level. [env var: LANGFLOW_LOG_LEVEL] [default: error] |
| --help | | Show this message and exit. |
## langflow copy-db
Run the `copy-db` command to copy the cached `langflow.db` and `langflow-pre.db` database files to the current directory.
If the files exist in the cache directory, they will be copied to the same directory as `__main__.py`, which can be found with `which langflow`.
### Options
None.
## langflow migration
Run or test migrations with the [Alembic](https://pypi.org/project/alembic/) database tool.
```bash
langflow migration
# or
python -m langflow migration
```
### Options
| Option | Description |
|-----------------|-------------------------------------------------------------|
| `--test, --no-test` | Run migrations in test mode. [default: test] |
| `--fix, --no-fix` | Fix migrations. This is a destructive operation, and should only be used if you know what you are doing. [default: no-fix] |
| `--help` | Show this message and exit. |
## langflow run
Run Langflow.
```bash
langflow run
# or
python -m langflow run
```
### Options
| Option | Description |
|-------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| `--help` | Displays all available options. |
| `--host` | Defines the host to bind the server to. Can be set using the `LANGFLOW_HOST` environment variable. The default is `127.0.0.1`. |
| `--workers` | Sets the number of worker processes. Can be set using the `LANGFLOW_WORKERS` environment variable. The default is `1`. |
| `--timeout` | Sets the worker timeout in seconds. The default is `60`. |
| `--port` | Sets the port to listen on. Can be set using the `LANGFLOW_PORT` environment variable. The default is `7860`. |
| `--env-file` | Specifies the path to the .env file containing environment variables. The default is `.env`. |
| `--log-level` | Defines the logging level. Can be set using the `LANGFLOW_LOG_LEVEL` environment variable. The default is `critical`. |
| `--components-path` | Specifies the path to the directory containing custom components. Can be set using the `LANGFLOW_COMPONENTS_PATH` environment variable. The default is `langflow/components`. |
| `--log-file` | Specifies the path to the log file. Can be set using the `LANGFLOW_LOG_FILE` environment variable. The default is `logs/langflow.log`. |
| `--cache` | Select the type of cache to use. Options are `InMemoryCache` and `SQLiteCache`. Can be set using the `LANGFLOW_LANGCHAIN_CACHE` environment variable. The default is `SQLiteCache`. |
| `--dev`/`--no-dev` | Toggles the development mode. The default is `no-dev`. |
| `--path` | Specifies the path to the frontend directory containing build files. This option is for development purposes only. Can be set using the `LANGFLOW_FRONTEND_PATH` environment variable. |
| `--open-browser`/`--no-open-browser`| Toggles the option to open the browser after starting the server. Can be set using the `LANGFLOW_OPEN_BROWSER` environment variable. The default is `open-browser`. |
| `--remove-api-keys`/`--no-remove-api-keys`| Toggles the option to remove API keys from the projects saved in the database. Can be set using the `LANGFLOW_REMOVE_API_KEYS` environment variable. The default is `no-remove-api-keys`. |
| `--install-completion [bash\|zsh\|fish\|powershell\|pwsh]`| Installs completion for the specified shell. |
| `--show-completion [bash\|zsh\|fish\|powershell\|pwsh]` | Shows completion for the specified shell, allowing you to copy it or customize the installation. |
| `--backend-only` | This parameter, with a default value of `False`, allows running only the backend server without the frontend. It can also be set using the `LANGFLOW_BACKEND_ONLY` environment variable. For more, see [Backend-only](../deployment/backend-only.md).|
| `--store` | This parameter, with a default value of `True`, enables the store features, use `--no-store` to deactivate it. It can be configured using the `LANGFLOW_STORE` environment variable. |
#### Environment Variables
You can configure many of the CLI options using environment variables. These can be exported in your operating system or added to a `.env` file and loaded using the `--env-file` option.
A sample `.env` file named `.env.example` is included with the project. Copy this file to a new file named `.env` and replace the example values with your actual settings. If you're setting values in both your OS and the `.env` file, the `.env` settings will take precedence.
## langflow superuser
Create a superuser for Langflow.
```bash
langflow superuser
# or
python -m langflow superuser
```
### Options
| Option | Type | Description |
|----------------|-------|-------------------------------------------------------------|
| `--username` | TEXT | Username for the superuser. [default: None] [required] |
| `--password` | TEXT | Password for the superuser. [default: None] [required] |
| `--log-level` | TEXT | Logging level. [env var: LANGFLOW_LOG_LEVEL] [default: error] |
| `--help` | | Show this message and exit. |

2
docs/docs/contributing/community.md
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@ -10,7 +10,7 @@ Langflow [Discord](https://discord.gg/EqksyE2EX9) server.
---
## 🐦 Stay tunned for **Langflow** on Twitter
## 🐦 Stay tuned for **Langflow** on Twitter
Follow [@langflow_ai](https://twitter.com/langflow_ai) on **Twitter** to get the latest news about **Langflow**.

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docs/docs/deployment/backend-only.md Normal file
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@ -0,0 +1,113 @@
# Backend-only
You can run Langflow in `--backend-only` mode to expose your Langflow app as an API, without running the frontend UI.
Start langflow in backend-only mode with `python3 -m langflow run --backend-only`.
The terminal prints ` Welcome to ⛓ Langflow `, and a blank window opens at `http://127.0.0.1:7864/all`.
Langflow will now serve requests to its API without the frontend running.
## Prerequisites
* [Langflow installed](../getting-started/install-langflow.mdx)
* [OpenAI API key](https://platform.openai.com)
* [A Langflow flow created](../starter-projects/basic-prompting.mdx)
## Download your flow's curl call
1. Click API.
2. Click **curl** > **Copy code** and save the code to your local machine.
It will look something like this:
```curl
curl -X POST \
"http://127.0.0.1:7864/api/v1/run/ef7e0554-69e5-4e3e-ab29-ee83bcd8d9ef?stream=false" \
-H 'Content-Type: application/json'\
-d '{"input_value": "message",
"output_type": "chat",
"input_type": "chat",
"tweaks": {
"Prompt-kvo86": {},
"OpenAIModel-MilkD": {},
"ChatOutput-ktwdw": {},
"ChatInput-xXC4F": {}
}}'
```
Note the flow ID of `ef7e0554-69e5-4e3e-ab29-ee83bcd8d9ef`. You can find this ID in the UI as well to ensure you're querying the right flow.
## Start Langflow in backend-only mode
1. Stop Langflow with Ctrl+C.
2. Start langflow in backend-only mode with `python3 -m langflow run --backend-only`.
The terminal prints ` Welcome to ⛓ Langflow `, and a blank window opens at `http://127.0.0.1:7864/all`.
Langflow will now serve requests to its API.
3. Run the curl code you copied from the UI.
You should get a result like this:
```bash
{"session_id":"ef7e0554-69e5-4e3e-ab29-ee83bcd8d9ef:bf81d898868ac87e1b4edbd96c131c5dee801ea2971122cc91352d144a45b880","outputs":[{"inputs":{"input_value":"hi, are you there?"},"outputs":[{"results":{"result":"Arrr, ahoy matey! Aye, I be here. What be ye needin', me hearty?"},"artifacts":{"message":"Arrr, ahoy matey! Aye, I be here. What be ye needin', me hearty?","sender":"Machine","sender_name":"AI"},"messages":[{"message":"Arrr, ahoy matey! Aye, I be here. What be ye needin', me hearty?","sender":"Machine","sender_name":"AI","component_id":"ChatOutput-ktwdw"}],"component_display_name":"Chat Output","component_id":"ChatOutput-ktwdw","used_frozen_result":false}]}]}%
```
Again, note that the flow ID matches.
Langflow is receiving your POST request, running the flow, and returning the result, all without running the frontend. Cool!
## Download your flow's Python API call
Instead of using curl, you can download your flow as a Python API call instead.
1. Click API.
2. Click **Python API** > **Copy code** and save the code to your local machine.
The code will look something like this:
```python
import requests
from typing import Optional
BASE_API_URL = "http://127.0.0.1:7864/api/v1/run"
FLOW_ID = "ef7e0554-69e5-4e3e-ab29-ee83bcd8d9ef"
# You can tweak the flow by adding a tweaks dictionary
# e.g {"OpenAI-XXXXX": {"model_name": "gpt-4"}}
def run_flow(message: str,
flow_id: str,
output_type: str = "chat",
input_type: str = "chat",
tweaks: Optional[dict] = None,
api_key: Optional[str] = None) -> dict:
"""
Run a flow with a given message and optional tweaks.
:param message: The message to send to the flow
:param flow_id: The ID of the flow to run
:param tweaks: Optional tweaks to customize the flow
:return: The JSON response from the flow
"""
api_url = f"{BASE_API_URL}/{flow_id}"
payload = {
"input_value": message,
"output_type": output_type,
"input_type": input_type,
}
headers = None
if tweaks:
payload["tweaks"] = tweaks
if api_key:
headers = {"x-api-key": api_key}
response = requests.post(api_url, json=payload, headers=headers)
return response.json()
# Setup any tweaks you want to apply to the flow
message = "message"
print(run_flow(message=message, flow_id=FLOW_ID))
```
3. Run your Python app:
```python
python3 app.py
```
The result is similar to the curl call:
```bash
{'session_id': 'ef7e0554-69e5-4e3e-ab29-ee83bcd8d9ef:bf81d898868ac87e1b4edbd96c131c5dee801ea2971122cc91352d144a45b880', 'outputs': [{'inputs': {'input_value': 'message'}, 'outputs': [{'results': {'result': "Arrr matey! What be yer message for this ol' pirate? Speak up or walk the plank!"}, 'artifacts': {'message': "Arrr matey! What be yer message for this ol' pirate? Speak up or walk the plank!", 'sender': 'Machine', 'sender_name': 'AI'}, 'messages': [{'message': "Arrr matey! What be yer message for this ol' pirate? Speak up or walk the plank!", 'sender': 'Machine', 'sender_name': 'AI', 'component_id': 'ChatOutput-ktwdw'}], 'component_display_name': 'Chat Output', 'component_id': 'ChatOutput-ktwdw', 'used_frozen_result': False}]}]}
```
Your Python app POSTs to your Langflow server, and the server runs the flow and returns the result.
See [API](../administration/api.mdx) for more ways to interact with your headless Langflow server.

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@ -0,0 +1,65 @@
# Docker
This guide will help you get LangFlow up and running using Docker and Docker Compose.
## Prerequisites
- Docker
- Docker Compose
## Steps
1. Clone the LangFlow repository:
```sh
git clone https://github.com/langflow-ai/langflow.git
```
2. Navigate to the `docker_example` directory:
```sh
cd langflow/docker_example
```
3. Run the Docker Compose file:
```sh
docker compose up
```
LangFlow will now be accessible at [http://localhost:7860/](http://localhost:7860/).
## Docker Compose Configuration
The Docker Compose configuration spins up two services: `langflow` and `postgres`.
### LangFlow Service
The `langflow` service uses the `langflowai/langflow:latest` Docker image and exposes port 7860. It depends on the `postgres` service.
Environment variables:
- `LANGFLOW_DATABASE_URL`: The connection string for the PostgreSQL database.
- `LANGFLOW_CONFIG_DIR`: The directory where LangFlow stores logs, file storage, monitor data, and secret keys.
Volumes:
- `langflow-data`: This volume is mapped to `/var/lib/langflow` in the container.
### PostgreSQL Service
The `postgres` service uses the `postgres:16` Docker image and exposes port 5432.
Environment variables:
- `POSTGRES_USER`: The username for the PostgreSQL database.
- `POSTGRES_PASSWORD`: The password for the PostgreSQL database.
- `POSTGRES_DB`: The name of the PostgreSQL database.
Volumes:
- `langflow-postgres`: This volume is mapped to `/var/lib/postgresql/data` in the container.
## Switching to a Specific LangFlow Version
If you want to use a specific version of LangFlow, you can modify the `image` field under the `langflow` service in the Docker Compose file. For example, to use version 1.0-alpha, change `langflowai/langflow:latest` to `langflowai/langflow:1.0-alpha`.

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@ -9,7 +9,7 @@ The `NotionUserList` component retrieves users from Notion. It provides a conven
[Notion Reference](https://developers.notion.com/reference/get-users)
The `NotionUserList` component enables you to:
The `NotionUserList` component enables you to:
- Retrieve user data from Notion
- Access user information such as ID, type, name, and avatar URL

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docs/sidebars.js
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@ -113,7 +113,10 @@ module.exports = {
type: "category",
label: "Deployment",
collapsed: true,
items: ["deployment/gcp-deployment"],
items: ["deployment/docker",
"deployment/backend-only",
"deployment/gcp-deployment",
],
},
{
type: "category",

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@ -1,6 +1,6 @@
[tool.poetry]
name = "langflow"
version = "1.0.0a43"
version = "1.0.0a48"
description = "A Python package with a built-in web application"
authors = ["Langflow <contact@langflow.org>"]
maintainers = [
@ -66,7 +66,7 @@ qianfan = "0.3.5"
pgvector = "^0.2.3"
pyautogen = "^0.2.0"
langchain-google-genai = "^1.0.1"
langchain-cohere = "^0.1.0rc1"
langchain-cohere = "^0.1.5"
elasticsearch = "^8.12.0"
pytube = "^15.0.0"
dspy-ai = "^2.4.0"
@ -81,7 +81,7 @@ langchain-google-vertexai = "^1.0.3"
langchain-groq = "^0.1.3"
langchain-pinecone = "^0.1.0"
langchain-mistralai = "^0.1.6"
couchbase = "^4.2.1"
couchbase = { extras = ["couchbase"], version = "^4.2.1", optional = true }
youtube-transcript-api = "^0.6.2"
markdown = "^3.6"
langchain-chroma = "^0.1.1"
@ -118,6 +118,7 @@ vulture = "^2.11"
[tool.poetry.extras]
deploy = ["celery", "redis", "flower"]
couchbase = ["couchbase"]
local = ["llama-cpp-python", "sentence-transformers", "ctransformers"]
@ -140,7 +141,7 @@ testpaths = ["tests", "integration"]
console_output_style = "progress"
filterwarnings = ["ignore::DeprecationWarning"]
log_cli = true
markers = ["async_test"]
markers = ["async_test", "api_key_required"]
[tool.ruff]

27
src/backend/base/langflow/components/vectorsearch/__init__.py
View file

@ -1,27 +0,0 @@
from .AstraDBSearch import AstraDBSearchComponent
from .ChromaSearch import ChromaSearchComponent
from .FAISSSearch import FAISSSearchComponent
from .MongoDBAtlasVectorSearch import MongoDBAtlasSearchComponent
from .PineconeSearch import PineconeSearchComponent
from .QdrantSearch import QdrantSearchComponent
from .RedisSearch import RedisSearchComponent
from .SupabaseVectorStoreSearch import SupabaseSearchComponent
from .VectaraSearch import VectaraSearchComponent
from .WeaviateSearch import WeaviateSearchVectorStore
from .pgvectorSearch import PGVectorSearchComponent
from .Couchbase import CouchbaseSearchComponent # type: ignore
__all__ = [
"AstraDBSearchComponent",
"ChromaSearchComponent",
"CouchbaseSearchComponent",
"FAISSSearchComponent",
"MongoDBAtlasSearchComponent",
"PineconeSearchComponent",
"QdrantSearchComponent",
"RedisSearchComponent",
"SupabaseSearchComponent",
"VectaraSearchComponent",
"WeaviateSearchVectorStore",
"PGVectorSearchComponent",
]

28
src/backend/base/langflow/components/vectorstores/__init__.py
View file

@ -1,28 +0,0 @@
from .AstraDB import AstraDBVectorStoreComponent
from .Chroma import ChromaComponent
from .FAISS import FAISSComponent
from .MongoDBAtlasVector import MongoDBAtlasComponent
from .Pinecone import PineconeComponent
from .Qdrant import QdrantComponent
from .Redis import RedisComponent
from .SupabaseVectorStore import SupabaseComponent
from .Vectara import VectaraComponent
from .Weaviate import WeaviateVectorStoreComponent
from .pgvector import PGVectorComponent
from .Couchbase import CouchbaseComponent
__all__ = [
"AstraDBVectorStoreComponent",
"ChromaComponent",
"CouchbaseComponent",
"FAISSComponent",
"MongoDBAtlasComponent",
"PineconeComponent",
"QdrantComponent",
"RedisComponent",
"SupabaseComponent",
"VectaraComponent",
"WeaviateVectorStoreComponent",
"base",
"PGVectorComponent",
]

2
src/backend/base/langflow/custom/code_parser/code_parser.py
View file

@ -297,7 +297,7 @@ class CodeParser:
bases = self.execute_and_inspect_classes(self.code)
except Exception as e:
# If the code cannot be executed, return an empty list
logger.exception(e)
logger.debug(e)
bases = []
raise e
return bases

6
src/backend/base/langflow/custom/directory_reader/directory_reader.py
View file

@ -78,7 +78,8 @@ class DirectoryReader:
component_tuple = (*build_component(component), component)
components.append(component_tuple)
except Exception as e:
logger.error(f"Error while loading component { component['name']}: {e}")
logger.debug(f"Error while loading component { component['name']}")
logger.debug(e)
continue
items.append({"name": menu["name"], "path": menu["path"], "components": components})
filtered = [menu for menu in items if menu["components"]]
@ -266,8 +267,7 @@ class DirectoryReader:
if validation_result:
try:
output_types = self.get_output_types_from_code(result_content)
except Exception as exc:
logger.exception(f"Error while getting output types from code: {str(exc)}")
except Exception:
output_types = [component_name_camelcase]
else:
output_types = [component_name_camelcase]

7
src/backend/base/langflow/initial_setup/starter_projects/Basic Prompting (Hello, world!).json
View file

@ -20,7 +20,7 @@
"list": false,
"show": true,
"multiline": true,
"value": "from itertools import chain\n\n\nfrom langchain_core.prompts import ChatPromptTemplate\n\nfrom langflow.base.prompts.utils import dict_values_to_string\nfrom langflow.custom import CustomComponent\nfrom langflow.field_typing import Prompt, TemplateField, Text\nfrom langflow.schema.schema import Record\n\n\nclass PromptComponent(CustomComponent):\n display_name: str = \"Prompt\"\n description: str = \"Create a prompt template with dynamic variables.\"\n icon = \"prompts\"\n\n def build_config(self):\n return {\n \"template\": TemplateField(display_name=\"Template\"),\n \"code\": TemplateField(advanced=True),\n }\n\n async def build(\n self,\n template: Prompt,\n **kwargs,\n ) -> Record:\n prompt_template = ChatPromptTemplate.from_template(Text(template))\n kwargs = await dict_values_to_string(kwargs)\n messages = list(kwargs.values())\n prompt = prompt_template + messages\n self.status = f'Prompt:\\n\"{template}\"'\n return Record(data={\"prompt\": prompt.to_json()})\n",
"value": "from langchain_core.prompts import ChatPromptTemplate\n\nfrom langflow.base.prompts.utils import dict_values_to_string\nfrom langflow.custom import CustomComponent\nfrom langflow.field_typing import Prompt, TemplateField, Text\nfrom langflow.schema.schema import Record\n\n\nclass PromptComponent(CustomComponent):\n display_name: str = \"Prompt\"\n description: str = \"Create a prompt template with dynamic variables.\"\n icon = \"prompts\"\n\n def build_config(self):\n return {\n \"template\": TemplateField(display_name=\"Template\"),\n \"code\": TemplateField(advanced=True),\n }\n\n async def build(\n self,\n template: Prompt,\n **kwargs,\n ) -> Record:\n prompt_template = ChatPromptTemplate.from_template(Text(template))\n kwargs = await dict_values_to_string(kwargs)\n messages = list(kwargs.values())\n prompt = prompt_template + messages\n self.status = f'Prompt:\\n\"{template}\"'\n return Record(data={\"prompt\": prompt.to_json()})\n",
"fileTypes": [],
"file_path": "",
"password": false,
@ -151,8 +151,7 @@
"load_from_db": false,
"title_case": false,
"input_types": [
"Text",
"Record"
"Text"
]
},
"code": {
@ -162,7 +161,7 @@
"list": false,
"show": true,
"multiline": true,
"value": "from typing import Optional\n\nfrom langchain_openai import ChatOpenAI\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.base.constants import STREAM_INFO_TEXT\nfrom langflow.base.models.model import LCModelComponent\nfrom langflow.base.models.openai_constants import MODEL_NAMES\nfrom langflow.field_typing import NestedDict, Text\nfrom langflow.schema.schema import Record\n\n\nclass OpenAIModelComponent(LCModelComponent):\n display_name = \"OpenAI\"\n description = \"Generates text using OpenAI LLMs.\"\n icon = \"OpenAI\"\n\n field_order = [\n \"max_tokens\",\n \"model_kwargs\",\n \"model_name\",\n \"openai_api_base\",\n \"openai_api_key\",\n \"temperature\",\n \"input_value\",\n \"system_message\",\n \"stream\",\n ]\n\n def build_config(self):\n return {\n \"input_value\": {\"display_name\": \"Input\", \"input_types\": [\"Text\", \"Record\"]},\n \"max_tokens\": {\n \"display_name\": \"Max Tokens\",\n \"advanced\": True,\n \"info\": \"The maximum number of tokens to generate. Set to 0 for unlimited tokens.\",\n },\n \"model_kwargs\": {\n \"display_name\": \"Model Kwargs\",\n \"advanced\": True,\n },\n \"model_name\": {\n \"display_name\": \"Model Name\",\n \"advanced\": False,\n \"options\": MODEL_NAMES,\n },\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"advanced\": True,\n \"info\": (\n \"The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\n\"\n \"You can change this to use other APIs like JinaChat, LocalAI and Prem.\"\n ),\n },\n \"openai_api_key\": {\n \"display_name\": \"OpenAI API Key\",\n \"info\": \"The OpenAI API Key to use for the OpenAI model.\",\n \"advanced\": False,\n \"password\": True,\n },\n \"temperature\": {\n \"display_name\": \"Temperature\",\n \"advanced\": False,\n \"value\": 0.1,\n },\n \"stream\": {\n \"display_name\": \"Stream\",\n \"info\": STREAM_INFO_TEXT,\n \"advanced\": True,\n },\n \"system_message\": {\n \"display_name\": \"System Message\",\n \"info\": \"System message to pass to the model.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Text | Record,\n openai_api_key: str,\n temperature: float = 0.1,\n model_name: str = \"gpt-4o\",\n max_tokens: Optional[int] = 256,\n model_kwargs: NestedDict = {},\n openai_api_base: Optional[str] = None,\n stream: bool = False,\n system_message: Optional[str] = None,\n ) -> Text:\n if not openai_api_base:\n openai_api_base = \"https://api.openai.com/v1\"\n if openai_api_key:\n api_key = SecretStr(openai_api_key)\n else:\n api_key = None\n\n output = ChatOpenAI(\n max_tokens=max_tokens or None,\n model_kwargs=model_kwargs,\n model=model_name,\n base_url=openai_api_base,\n api_key=api_key,\n temperature=temperature,\n )\n\n return self.get_chat_result(output, stream, input_value, system_message)\n",
"value": "from typing import Optional\n\nfrom langchain_openai import ChatOpenAI\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.base.constants import STREAM_INFO_TEXT\nfrom langflow.base.models.model import LCModelComponent\nfrom langflow.base.models.openai_constants import MODEL_NAMES\nfrom langflow.field_typing import NestedDict, Text\n\n\nclass OpenAIModelComponent(LCModelComponent):\n display_name = \"OpenAI\"\n description = \"Generates text using OpenAI LLMs.\"\n icon = \"OpenAI\"\n\n field_order = [\n \"max_tokens\",\n \"model_kwargs\",\n \"model_name\",\n \"openai_api_base\",\n \"openai_api_key\",\n \"temperature\",\n \"input_value\",\n \"system_message\",\n \"stream\",\n ]\n\n def build_config(self):\n return {\n \"input_value\": {\"display_name\": \"Input\"},\n \"max_tokens\": {\n \"display_name\": \"Max Tokens\",\n \"advanced\": True,\n \"info\": \"The maximum number of tokens to generate. Set to 0 for unlimited tokens.\",\n },\n \"model_kwargs\": {\n \"display_name\": \"Model Kwargs\",\n \"advanced\": True,\n },\n \"model_name\": {\n \"display_name\": \"Model Name\",\n \"advanced\": False,\n \"options\": MODEL_NAMES,\n },\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"advanced\": True,\n \"info\": (\n \"The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\n\"\n \"You can change this to use other APIs like JinaChat, LocalAI and Prem.\"\n ),\n },\n \"openai_api_key\": {\n \"display_name\": \"OpenAI API Key\",\n \"info\": \"The OpenAI API Key to use for the OpenAI model.\",\n \"advanced\": False,\n \"password\": True,\n },\n \"temperature\": {\n \"display_name\": \"Temperature\",\n \"advanced\": False,\n \"value\": 0.1,\n },\n \"stream\": {\n \"display_name\": \"Stream\",\n \"info\": STREAM_INFO_TEXT,\n \"advanced\": True,\n },\n \"system_message\": {\n \"display_name\": \"System Message\",\n \"info\": \"System message to pass to the model.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Text,\n openai_api_key: str,\n temperature: float = 0.1,\n model_name: str = \"gpt-4o\",\n max_tokens: Optional[int] = 256,\n model_kwargs: NestedDict = {},\n openai_api_base: Optional[str] = None,\n stream: bool = False,\n system_message: Optional[str] = None,\n ) -> Text:\n if not openai_api_base:\n openai_api_base = \"https://api.openai.com/v1\"\n if openai_api_key:\n api_key = SecretStr(openai_api_key)\n else:\n api_key = None\n\n output = ChatOpenAI(\n max_tokens=max_tokens or None,\n model_kwargs=model_kwargs,\n model=model_name,\n base_url=openai_api_base,\n api_key=api_key,\n temperature=temperature,\n )\n\n return self.get_chat_result(output, stream, input_value, system_message)\n",
"fileTypes": [],
"file_path": "",
"password": false,

7
src/backend/base/langflow/initial_setup/starter_projects/Langflow Blog Writter.json
View file

@ -20,7 +20,7 @@
"list": false,
"show": true,
"multiline": true,
"value": "from itertools import chain\n\n\nfrom langchain_core.prompts import ChatPromptTemplate\n\nfrom langflow.base.prompts.utils import dict_values_to_string\nfrom langflow.custom import CustomComponent\nfrom langflow.field_typing import Prompt, TemplateField, Text\nfrom langflow.schema.schema import Record\n\n\nclass PromptComponent(CustomComponent):\n display_name: str = \"Prompt\"\n description: str = \"Create a prompt template with dynamic variables.\"\n icon = \"prompts\"\n\n def build_config(self):\n return {\n \"template\": TemplateField(display_name=\"Template\"),\n \"code\": TemplateField(advanced=True),\n }\n\n async def build(\n self,\n template: Prompt,\n **kwargs,\n ) -> Record:\n prompt_template = ChatPromptTemplate.from_template(Text(template))\n kwargs = await dict_values_to_string(kwargs)\n messages = list(kwargs.values())\n prompt = prompt_template + messages\n self.status = f'Prompt:\\n\"{template}\"'\n return Record(data={\"prompt\": prompt.to_json()})\n",
"value": "from langchain_core.prompts import ChatPromptTemplate\n\nfrom langflow.base.prompts.utils import dict_values_to_string\nfrom langflow.custom import CustomComponent\nfrom langflow.field_typing import Prompt, TemplateField, Text\nfrom langflow.schema.schema import Record\n\n\nclass PromptComponent(CustomComponent):\n display_name: str = \"Prompt\"\n description: str = \"Create a prompt template with dynamic variables.\"\n icon = \"prompts\"\n\n def build_config(self):\n return {\n \"template\": TemplateField(display_name=\"Template\"),\n \"code\": TemplateField(advanced=True),\n }\n\n async def build(\n self,\n template: Prompt,\n **kwargs,\n ) -> Record:\n prompt_template = ChatPromptTemplate.from_template(Text(template))\n kwargs = await dict_values_to_string(kwargs)\n messages = list(kwargs.values())\n prompt = prompt_template + messages\n self.status = f'Prompt:\\n\"{template}\"'\n return Record(data={\"prompt\": prompt.to_json()})\n",
"fileTypes": [],
"file_path": "",
"password": false,
@ -484,8 +484,7 @@
"load_from_db": false,
"title_case": false,
"input_types": [
"Text",
"Record"
"Text"
]
},
"code": {
@ -495,7 +494,7 @@
"list": false,
"show": true,
"multiline": true,
"value": "from typing import Optional\n\nfrom langchain_openai import ChatOpenAI\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.base.constants import STREAM_INFO_TEXT\nfrom langflow.base.models.model import LCModelComponent\nfrom langflow.base.models.openai_constants import MODEL_NAMES\nfrom langflow.field_typing import NestedDict, Text\nfrom langflow.schema.schema import Record\n\n\nclass OpenAIModelComponent(LCModelComponent):\n display_name = \"OpenAI\"\n description = \"Generates text using OpenAI LLMs.\"\n icon = \"OpenAI\"\n\n field_order = [\n \"max_tokens\",\n \"model_kwargs\",\n \"model_name\",\n \"openai_api_base\",\n \"openai_api_key\",\n \"temperature\",\n \"input_value\",\n \"system_message\",\n \"stream\",\n ]\n\n def build_config(self):\n return {\n \"input_value\": {\"display_name\": \"Input\", \"input_types\": [\"Text\", \"Record\"]},\n \"max_tokens\": {\n \"display_name\": \"Max Tokens\",\n \"advanced\": True,\n \"info\": \"The maximum number of tokens to generate. Set to 0 for unlimited tokens.\",\n },\n \"model_kwargs\": {\n \"display_name\": \"Model Kwargs\",\n \"advanced\": True,\n },\n \"model_name\": {\n \"display_name\": \"Model Name\",\n \"advanced\": False,\n \"options\": MODEL_NAMES,\n },\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"advanced\": True,\n \"info\": (\n \"The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\n\"\n \"You can change this to use other APIs like JinaChat, LocalAI and Prem.\"\n ),\n },\n \"openai_api_key\": {\n \"display_name\": \"OpenAI API Key\",\n \"info\": \"The OpenAI API Key to use for the OpenAI model.\",\n \"advanced\": False,\n \"password\": True,\n },\n \"temperature\": {\n \"display_name\": \"Temperature\",\n \"advanced\": False,\n \"value\": 0.1,\n },\n \"stream\": {\n \"display_name\": \"Stream\",\n \"info\": STREAM_INFO_TEXT,\n \"advanced\": True,\n },\n \"system_message\": {\n \"display_name\": \"System Message\",\n \"info\": \"System message to pass to the model.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Text | Record,\n openai_api_key: str,\n temperature: float = 0.1,\n model_name: str = \"gpt-4o\",\n max_tokens: Optional[int] = 256,\n model_kwargs: NestedDict = {},\n openai_api_base: Optional[str] = None,\n stream: bool = False,\n system_message: Optional[str] = None,\n ) -> Text:\n if not openai_api_base:\n openai_api_base = \"https://api.openai.com/v1\"\n if openai_api_key:\n api_key = SecretStr(openai_api_key)\n else:\n api_key = None\n\n output = ChatOpenAI(\n max_tokens=max_tokens or None,\n model_kwargs=model_kwargs,\n model=model_name,\n base_url=openai_api_base,\n api_key=api_key,\n temperature=temperature,\n )\n\n return self.get_chat_result(output, stream, input_value, system_message)\n",
"value": "from typing import Optional\n\nfrom langchain_openai import ChatOpenAI\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.base.constants import STREAM_INFO_TEXT\nfrom langflow.base.models.model import LCModelComponent\nfrom langflow.base.models.openai_constants import MODEL_NAMES\nfrom langflow.field_typing import NestedDict, Text\n\n\nclass OpenAIModelComponent(LCModelComponent):\n display_name = \"OpenAI\"\n description = \"Generates text using OpenAI LLMs.\"\n icon = \"OpenAI\"\n\n field_order = [\n \"max_tokens\",\n \"model_kwargs\",\n \"model_name\",\n \"openai_api_base\",\n \"openai_api_key\",\n \"temperature\",\n \"input_value\",\n \"system_message\",\n \"stream\",\n ]\n\n def build_config(self):\n return {\n \"input_value\": {\"display_name\": \"Input\"},\n \"max_tokens\": {\n \"display_name\": \"Max Tokens\",\n \"advanced\": True,\n \"info\": \"The maximum number of tokens to generate. Set to 0 for unlimited tokens.\",\n },\n \"model_kwargs\": {\n \"display_name\": \"Model Kwargs\",\n \"advanced\": True,\n },\n \"model_name\": {\n \"display_name\": \"Model Name\",\n \"advanced\": False,\n \"options\": MODEL_NAMES,\n },\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"advanced\": True,\n \"info\": (\n \"The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\n\"\n \"You can change this to use other APIs like JinaChat, LocalAI and Prem.\"\n ),\n },\n \"openai_api_key\": {\n \"display_name\": \"OpenAI API Key\",\n \"info\": \"The OpenAI API Key to use for the OpenAI model.\",\n \"advanced\": False,\n \"password\": True,\n },\n \"temperature\": {\n \"display_name\": \"Temperature\",\n \"advanced\": False,\n \"value\": 0.1,\n },\n \"stream\": {\n \"display_name\": \"Stream\",\n \"info\": STREAM_INFO_TEXT,\n \"advanced\": True,\n },\n \"system_message\": {\n \"display_name\": \"System Message\",\n \"info\": \"System message to pass to the model.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Text,\n openai_api_key: str,\n temperature: float = 0.1,\n model_name: str = \"gpt-4o\",\n max_tokens: Optional[int] = 256,\n model_kwargs: NestedDict = {},\n openai_api_base: Optional[str] = None,\n stream: bool = False,\n system_message: Optional[str] = None,\n ) -> Text:\n if not openai_api_base:\n openai_api_base = \"https://api.openai.com/v1\"\n if openai_api_key:\n api_key = SecretStr(openai_api_key)\n else:\n api_key = None\n\n output = ChatOpenAI(\n max_tokens=max_tokens or None,\n model_kwargs=model_kwargs,\n model=model_name,\n base_url=openai_api_base,\n api_key=api_key,\n temperature=temperature,\n )\n\n return self.get_chat_result(output, stream, input_value, system_message)\n",
"fileTypes": [],
"file_path": "",
"password": false,

7
src/backend/base/langflow/initial_setup/starter_projects/Langflow Document QA.json
View file

@ -20,7 +20,7 @@
"list": false,
"show": true,
"multiline": true,
"value": "from itertools import chain\n\n\nfrom langchain_core.prompts import ChatPromptTemplate\n\nfrom langflow.base.prompts.utils import dict_values_to_string\nfrom langflow.custom import CustomComponent\nfrom langflow.field_typing import Prompt, TemplateField, Text\nfrom langflow.schema.schema import Record\n\n\nclass PromptComponent(CustomComponent):\n display_name: str = \"Prompt\"\n description: str = \"Create a prompt template with dynamic variables.\"\n icon = \"prompts\"\n\n def build_config(self):\n return {\n \"template\": TemplateField(display_name=\"Template\"),\n \"code\": TemplateField(advanced=True),\n }\n\n async def build(\n self,\n template: Prompt,\n **kwargs,\n ) -> Record:\n prompt_template = ChatPromptTemplate.from_template(Text(template))\n kwargs = await dict_values_to_string(kwargs)\n messages = list(kwargs.values())\n prompt = prompt_template + messages\n self.status = f'Prompt:\\n\"{template}\"'\n return Record(data={\"prompt\": prompt.to_json()})\n",
"value": "from langchain_core.prompts import ChatPromptTemplate\n\nfrom langflow.base.prompts.utils import dict_values_to_string\nfrom langflow.custom import CustomComponent\nfrom langflow.field_typing import Prompt, TemplateField, Text\nfrom langflow.schema.schema import Record\n\n\nclass PromptComponent(CustomComponent):\n display_name: str = \"Prompt\"\n description: str = \"Create a prompt template with dynamic variables.\"\n icon = \"prompts\"\n\n def build_config(self):\n return {\n \"template\": TemplateField(display_name=\"Template\"),\n \"code\": TemplateField(advanced=True),\n }\n\n async def build(\n self,\n template: Prompt,\n **kwargs,\n ) -> Record:\n prompt_template = ChatPromptTemplate.from_template(Text(template))\n kwargs = await dict_values_to_string(kwargs)\n messages = list(kwargs.values())\n prompt = prompt_template + messages\n self.status = f'Prompt:\\n\"{template}\"'\n return Record(data={\"prompt\": prompt.to_json()})\n",
"fileTypes": [],
"file_path": "",
"password": false,
@ -641,8 +641,7 @@
"load_from_db": false,
"title_case": false,
"input_types": [
"Text",
"Record"
"Text"
]
},
"code": {
@ -652,7 +651,7 @@
"list": false,
"show": true,
"multiline": true,
"value": "from typing import Optional\n\nfrom langchain_openai import ChatOpenAI\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.base.constants import STREAM_INFO_TEXT\nfrom langflow.base.models.model import LCModelComponent\nfrom langflow.base.models.openai_constants import MODEL_NAMES\nfrom langflow.field_typing import NestedDict, Text\nfrom langflow.schema.schema import Record\n\n\nclass OpenAIModelComponent(LCModelComponent):\n display_name = \"OpenAI\"\n description = \"Generates text using OpenAI LLMs.\"\n icon = \"OpenAI\"\n\n field_order = [\n \"max_tokens\",\n \"model_kwargs\",\n \"model_name\",\n \"openai_api_base\",\n \"openai_api_key\",\n \"temperature\",\n \"input_value\",\n \"system_message\",\n \"stream\",\n ]\n\n def build_config(self):\n return {\n \"input_value\": {\"display_name\": \"Input\", \"input_types\": [\"Text\", \"Record\"]},\n \"max_tokens\": {\n \"display_name\": \"Max Tokens\",\n \"advanced\": True,\n \"info\": \"The maximum number of tokens to generate. Set to 0 for unlimited tokens.\",\n },\n \"model_kwargs\": {\n \"display_name\": \"Model Kwargs\",\n \"advanced\": True,\n },\n \"model_name\": {\n \"display_name\": \"Model Name\",\n \"advanced\": False,\n \"options\": MODEL_NAMES,\n },\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"advanced\": True,\n \"info\": (\n \"The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\n\"\n \"You can change this to use other APIs like JinaChat, LocalAI and Prem.\"\n ),\n },\n \"openai_api_key\": {\n \"display_name\": \"OpenAI API Key\",\n \"info\": \"The OpenAI API Key to use for the OpenAI model.\",\n \"advanced\": False,\n \"password\": True,\n },\n \"temperature\": {\n \"display_name\": \"Temperature\",\n \"advanced\": False,\n \"value\": 0.1,\n },\n \"stream\": {\n \"display_name\": \"Stream\",\n \"info\": STREAM_INFO_TEXT,\n \"advanced\": True,\n },\n \"system_message\": {\n \"display_name\": \"System Message\",\n \"info\": \"System message to pass to the model.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Text | Record,\n openai_api_key: str,\n temperature: float = 0.1,\n model_name: str = \"gpt-4o\",\n max_tokens: Optional[int] = 256,\n model_kwargs: NestedDict = {},\n openai_api_base: Optional[str] = None,\n stream: bool = False,\n system_message: Optional[str] = None,\n ) -> Text:\n if not openai_api_base:\n openai_api_base = \"https://api.openai.com/v1\"\n if openai_api_key:\n api_key = SecretStr(openai_api_key)\n else:\n api_key = None\n\n output = ChatOpenAI(\n max_tokens=max_tokens or None,\n model_kwargs=model_kwargs,\n model=model_name,\n base_url=openai_api_base,\n api_key=api_key,\n temperature=temperature,\n )\n\n return self.get_chat_result(output, stream, input_value, system_message)\n",
"value": "from typing import Optional\n\nfrom langchain_openai import ChatOpenAI\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.base.constants import STREAM_INFO_TEXT\nfrom langflow.base.models.model import LCModelComponent\nfrom langflow.base.models.openai_constants import MODEL_NAMES\nfrom langflow.field_typing import NestedDict, Text\n\n\nclass OpenAIModelComponent(LCModelComponent):\n display_name = \"OpenAI\"\n description = \"Generates text using OpenAI LLMs.\"\n icon = \"OpenAI\"\n\n field_order = [\n \"max_tokens\",\n \"model_kwargs\",\n \"model_name\",\n \"openai_api_base\",\n \"openai_api_key\",\n \"temperature\",\n \"input_value\",\n \"system_message\",\n \"stream\",\n ]\n\n def build_config(self):\n return {\n \"input_value\": {\"display_name\": \"Input\"},\n \"max_tokens\": {\n \"display_name\": \"Max Tokens\",\n \"advanced\": True,\n \"info\": \"The maximum number of tokens to generate. Set to 0 for unlimited tokens.\",\n },\n \"model_kwargs\": {\n \"display_name\": \"Model Kwargs\",\n \"advanced\": True,\n },\n \"model_name\": {\n \"display_name\": \"Model Name\",\n \"advanced\": False,\n \"options\": MODEL_NAMES,\n },\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"advanced\": True,\n \"info\": (\n \"The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\n\"\n \"You can change this to use other APIs like JinaChat, LocalAI and Prem.\"\n ),\n },\n \"openai_api_key\": {\n \"display_name\": \"OpenAI API Key\",\n \"info\": \"The OpenAI API Key to use for the OpenAI model.\",\n \"advanced\": False,\n \"password\": True,\n },\n \"temperature\": {\n \"display_name\": \"Temperature\",\n \"advanced\": False,\n \"value\": 0.1,\n },\n \"stream\": {\n \"display_name\": \"Stream\",\n \"info\": STREAM_INFO_TEXT,\n \"advanced\": True,\n },\n \"system_message\": {\n \"display_name\": \"System Message\",\n \"info\": \"System message to pass to the model.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Text,\n openai_api_key: str,\n temperature: float = 0.1,\n model_name: str = \"gpt-4o\",\n max_tokens: Optional[int] = 256,\n model_kwargs: NestedDict = {},\n openai_api_base: Optional[str] = None,\n stream: bool = False,\n system_message: Optional[str] = None,\n ) -> Text:\n if not openai_api_base:\n openai_api_base = \"https://api.openai.com/v1\"\n if openai_api_key:\n api_key = SecretStr(openai_api_key)\n else:\n api_key = None\n\n output = ChatOpenAI(\n max_tokens=max_tokens or None,\n model_kwargs=model_kwargs,\n model=model_name,\n base_url=openai_api_base,\n api_key=api_key,\n temperature=temperature,\n )\n\n return self.get_chat_result(output, stream, input_value, system_message)\n",
"fileTypes": [],
"file_path": "",
"password": false,

7
src/backend/base/langflow/initial_setup/starter_projects/Langflow Memory Conversation.json
View file

@ -583,7 +583,7 @@
"list": false,
"show": true,
"multiline": true,
"value": "from itertools import chain\n\n\nfrom langchain_core.prompts import ChatPromptTemplate\n\nfrom langflow.base.prompts.utils import dict_values_to_string\nfrom langflow.custom import CustomComponent\nfrom langflow.field_typing import Prompt, TemplateField, Text\nfrom langflow.schema.schema import Record\n\n\nclass PromptComponent(CustomComponent):\n display_name: str = \"Prompt\"\n description: str = \"Create a prompt template with dynamic variables.\"\n icon = \"prompts\"\n\n def build_config(self):\n return {\n \"template\": TemplateField(display_name=\"Template\"),\n \"code\": TemplateField(advanced=True),\n }\n\n async def build(\n self,\n template: Prompt,\n **kwargs,\n ) -> Record:\n prompt_template = ChatPromptTemplate.from_template(Text(template))\n kwargs = await dict_values_to_string(kwargs)\n messages = list(kwargs.values())\n prompt = prompt_template + messages\n self.status = f'Prompt:\\n\"{template}\"'\n return Record(data={\"prompt\": prompt.to_json()})\n",
"value": "from langchain_core.prompts import ChatPromptTemplate\n\nfrom langflow.base.prompts.utils import dict_values_to_string\nfrom langflow.custom import CustomComponent\nfrom langflow.field_typing import Prompt, TemplateField, Text\nfrom langflow.schema.schema import Record\n\n\nclass PromptComponent(CustomComponent):\n display_name: str = \"Prompt\"\n description: str = \"Create a prompt template with dynamic variables.\"\n icon = \"prompts\"\n\n def build_config(self):\n return {\n \"template\": TemplateField(display_name=\"Template\"),\n \"code\": TemplateField(advanced=True),\n }\n\n async def build(\n self,\n template: Prompt,\n **kwargs,\n ) -> Record:\n prompt_template = ChatPromptTemplate.from_template(Text(template))\n kwargs = await dict_values_to_string(kwargs)\n messages = list(kwargs.values())\n prompt = prompt_template + messages\n self.status = f'Prompt:\\n\"{template}\"'\n return Record(data={\"prompt\": prompt.to_json()})\n",
"fileTypes": [],
"file_path": "",
"password": false,
@ -741,8 +741,7 @@
"load_from_db": false,
"title_case": false,
"input_types": [
"Text",
"Record"
"Text"
]
},
"code": {
@ -752,7 +751,7 @@
"list": false,
"show": true,
"multiline": true,
"value": "from typing import Optional\n\nfrom langchain_openai import ChatOpenAI\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.base.constants import STREAM_INFO_TEXT\nfrom langflow.base.models.model import LCModelComponent\nfrom langflow.base.models.openai_constants import MODEL_NAMES\nfrom langflow.field_typing import NestedDict, Text\nfrom langflow.schema.schema import Record\n\n\nclass OpenAIModelComponent(LCModelComponent):\n display_name = \"OpenAI\"\n description = \"Generates text using OpenAI LLMs.\"\n icon = \"OpenAI\"\n\n field_order = [\n \"max_tokens\",\n \"model_kwargs\",\n \"model_name\",\n \"openai_api_base\",\n \"openai_api_key\",\n \"temperature\",\n \"input_value\",\n \"system_message\",\n \"stream\",\n ]\n\n def build_config(self):\n return {\n \"input_value\": {\"display_name\": \"Input\", \"input_types\": [\"Text\", \"Record\"]},\n \"max_tokens\": {\n \"display_name\": \"Max Tokens\",\n \"advanced\": True,\n \"info\": \"The maximum number of tokens to generate. Set to 0 for unlimited tokens.\",\n },\n \"model_kwargs\": {\n \"display_name\": \"Model Kwargs\",\n \"advanced\": True,\n },\n \"model_name\": {\n \"display_name\": \"Model Name\",\n \"advanced\": False,\n \"options\": MODEL_NAMES,\n },\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"advanced\": True,\n \"info\": (\n \"The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\n\"\n \"You can change this to use other APIs like JinaChat, LocalAI and Prem.\"\n ),\n },\n \"openai_api_key\": {\n \"display_name\": \"OpenAI API Key\",\n \"info\": \"The OpenAI API Key to use for the OpenAI model.\",\n \"advanced\": False,\n \"password\": True,\n },\n \"temperature\": {\n \"display_name\": \"Temperature\",\n \"advanced\": False,\n \"value\": 0.1,\n },\n \"stream\": {\n \"display_name\": \"Stream\",\n \"info\": STREAM_INFO_TEXT,\n \"advanced\": True,\n },\n \"system_message\": {\n \"display_name\": \"System Message\",\n \"info\": \"System message to pass to the model.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Text | Record,\n openai_api_key: str,\n temperature: float = 0.1,\n model_name: str = \"gpt-4o\",\n max_tokens: Optional[int] = 256,\n model_kwargs: NestedDict = {},\n openai_api_base: Optional[str] = None,\n stream: bool = False,\n system_message: Optional[str] = None,\n ) -> Text:\n if not openai_api_base:\n openai_api_base = \"https://api.openai.com/v1\"\n if openai_api_key:\n api_key = SecretStr(openai_api_key)\n else:\n api_key = None\n\n output = ChatOpenAI(\n max_tokens=max_tokens or None,\n model_kwargs=model_kwargs,\n model=model_name,\n base_url=openai_api_base,\n api_key=api_key,\n temperature=temperature,\n )\n\n return self.get_chat_result(output, stream, input_value, system_message)\n",
"value": "from typing import Optional\n\nfrom langchain_openai import ChatOpenAI\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.base.constants import STREAM_INFO_TEXT\nfrom langflow.base.models.model import LCModelComponent\nfrom langflow.base.models.openai_constants import MODEL_NAMES\nfrom langflow.field_typing import NestedDict, Text\n\n\nclass OpenAIModelComponent(LCModelComponent):\n display_name = \"OpenAI\"\n description = \"Generates text using OpenAI LLMs.\"\n icon = \"OpenAI\"\n\n field_order = [\n \"max_tokens\",\n \"model_kwargs\",\n \"model_name\",\n \"openai_api_base\",\n \"openai_api_key\",\n \"temperature\",\n \"input_value\",\n \"system_message\",\n \"stream\",\n ]\n\n def build_config(self):\n return {\n \"input_value\": {\"display_name\": \"Input\"},\n \"max_tokens\": {\n \"display_name\": \"Max Tokens\",\n \"advanced\": True,\n \"info\": \"The maximum number of tokens to generate. Set to 0 for unlimited tokens.\",\n },\n \"model_kwargs\": {\n \"display_name\": \"Model Kwargs\",\n \"advanced\": True,\n },\n \"model_name\": {\n \"display_name\": \"Model Name\",\n \"advanced\": False,\n \"options\": MODEL_NAMES,\n },\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"advanced\": True,\n \"info\": (\n \"The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\n\"\n \"You can change this to use other APIs like JinaChat, LocalAI and Prem.\"\n ),\n },\n \"openai_api_key\": {\n \"display_name\": \"OpenAI API Key\",\n \"info\": \"The OpenAI API Key to use for the OpenAI model.\",\n \"advanced\": False,\n \"password\": True,\n },\n \"temperature\": {\n \"display_name\": \"Temperature\",\n \"advanced\": False,\n \"value\": 0.1,\n },\n \"stream\": {\n \"display_name\": \"Stream\",\n \"info\": STREAM_INFO_TEXT,\n \"advanced\": True,\n },\n \"system_message\": {\n \"display_name\": \"System Message\",\n \"info\": \"System message to pass to the model.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Text,\n openai_api_key: str,\n temperature: float = 0.1,\n model_name: str = \"gpt-4o\",\n max_tokens: Optional[int] = 256,\n model_kwargs: NestedDict = {},\n openai_api_base: Optional[str] = None,\n stream: bool = False,\n system_message: Optional[str] = None,\n ) -> Text:\n if not openai_api_base:\n openai_api_base = \"https://api.openai.com/v1\"\n if openai_api_key:\n api_key = SecretStr(openai_api_key)\n else:\n api_key = None\n\n output = ChatOpenAI(\n max_tokens=max_tokens or None,\n model_kwargs=model_kwargs,\n model=model_name,\n base_url=openai_api_base,\n api_key=api_key,\n temperature=temperature,\n )\n\n return self.get_chat_result(output, stream, input_value, system_message)\n",
"fileTypes": [],
"file_path": "",
"password": false,

14
src/backend/base/langflow/initial_setup/starter_projects/Langflow Prompt Chaining.json
View file

@ -20,7 +20,7 @@
"list": false,
"show": true,
"multiline": true,
"value": "from itertools import chain\n\n\nfrom langchain_core.prompts import ChatPromptTemplate\n\nfrom langflow.base.prompts.utils import dict_values_to_string\nfrom langflow.custom import CustomComponent\nfrom langflow.field_typing import Prompt, TemplateField, Text\nfrom langflow.schema.schema import Record\n\n\nclass PromptComponent(CustomComponent):\n display_name: str = \"Prompt\"\n description: str = \"Create a prompt template with dynamic variables.\"\n icon = \"prompts\"\n\n def build_config(self):\n return {\n \"template\": TemplateField(display_name=\"Template\"),\n \"code\": TemplateField(advanced=True),\n }\n\n async def build(\n self,\n template: Prompt,\n **kwargs,\n ) -> Record:\n prompt_template = ChatPromptTemplate.from_template(Text(template))\n kwargs = await dict_values_to_string(kwargs)\n messages = list(kwargs.values())\n prompt = prompt_template + messages\n self.status = f'Prompt:\\n\"{template}\"'\n return Record(data={\"prompt\": prompt.to_json()})\n",
"value": "from langchain_core.prompts import ChatPromptTemplate\n\nfrom langflow.base.prompts.utils import dict_values_to_string\nfrom langflow.custom import CustomComponent\nfrom langflow.field_typing import Prompt, TemplateField, Text\nfrom langflow.schema.schema import Record\n\n\nclass PromptComponent(CustomComponent):\n display_name: str = \"Prompt\"\n description: str = \"Create a prompt template with dynamic variables.\"\n icon = \"prompts\"\n\n def build_config(self):\n return {\n \"template\": TemplateField(display_name=\"Template\"),\n \"code\": TemplateField(advanced=True),\n }\n\n async def build(\n self,\n template: Prompt,\n **kwargs,\n ) -> Record:\n prompt_template = ChatPromptTemplate.from_template(Text(template))\n kwargs = await dict_values_to_string(kwargs)\n messages = list(kwargs.values())\n prompt = prompt_template + messages\n self.status = f'Prompt:\\n\"{template}\"'\n return Record(data={\"prompt\": prompt.to_json()})\n",
"fileTypes": [],
"file_path": "",
"password": false,
@ -140,7 +140,7 @@
"list": false,
"show": true,
"multiline": true,
"value": "from itertools import chain\n\n\nfrom langchain_core.prompts import ChatPromptTemplate\n\nfrom langflow.base.prompts.utils import dict_values_to_string\nfrom langflow.custom import CustomComponent\nfrom langflow.field_typing import Prompt, TemplateField, Text\nfrom langflow.schema.schema import Record\n\n\nclass PromptComponent(CustomComponent):\n display_name: str = \"Prompt\"\n description: str = \"Create a prompt template with dynamic variables.\"\n icon = \"prompts\"\n\n def build_config(self):\n return {\n \"template\": TemplateField(display_name=\"Template\"),\n \"code\": TemplateField(advanced=True),\n }\n\n async def build(\n self,\n template: Prompt,\n **kwargs,\n ) -> Record:\n prompt_template = ChatPromptTemplate.from_template(Text(template))\n kwargs = await dict_values_to_string(kwargs)\n messages = list(kwargs.values())\n prompt = prompt_template + messages\n self.status = f'Prompt:\\n\"{template}\"'\n return Record(data={\"prompt\": prompt.to_json()})\n",
"value": "from langchain_core.prompts import ChatPromptTemplate\n\nfrom langflow.base.prompts.utils import dict_values_to_string\nfrom langflow.custom import CustomComponent\nfrom langflow.field_typing import Prompt, TemplateField, Text\nfrom langflow.schema.schema import Record\n\n\nclass PromptComponent(CustomComponent):\n display_name: str = \"Prompt\"\n description: str = \"Create a prompt template with dynamic variables.\"\n icon = \"prompts\"\n\n def build_config(self):\n return {\n \"template\": TemplateField(display_name=\"Template\"),\n \"code\": TemplateField(advanced=True),\n }\n\n async def build(\n self,\n template: Prompt,\n **kwargs,\n ) -> Record:\n prompt_template = ChatPromptTemplate.from_template(Text(template))\n kwargs = await dict_values_to_string(kwargs)\n messages = list(kwargs.values())\n prompt = prompt_template + messages\n self.status = f'Prompt:\\n\"{template}\"'\n return Record(data={\"prompt\": prompt.to_json()})\n",
"fileTypes": [],
"file_path": "",
"password": false,
@ -874,8 +874,7 @@
"load_from_db": false,
"title_case": false,
"input_types": [
"Text",
"Record"
"Text"
]
},
"code": {
@ -885,7 +884,7 @@
"list": false,
"show": true,
"multiline": true,
"value": "from typing import Optional\n\nfrom langchain_openai import ChatOpenAI\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.base.constants import STREAM_INFO_TEXT\nfrom langflow.base.models.model import LCModelComponent\nfrom langflow.base.models.openai_constants import MODEL_NAMES\nfrom langflow.field_typing import NestedDict, Text\nfrom langflow.schema.schema import Record\n\n\nclass OpenAIModelComponent(LCModelComponent):\n display_name = \"OpenAI\"\n description = \"Generates text using OpenAI LLMs.\"\n icon = \"OpenAI\"\n\n field_order = [\n \"max_tokens\",\n \"model_kwargs\",\n \"model_name\",\n \"openai_api_base\",\n \"openai_api_key\",\n \"temperature\",\n \"input_value\",\n \"system_message\",\n \"stream\",\n ]\n\n def build_config(self):\n return {\n \"input_value\": {\"display_name\": \"Input\", \"input_types\": [\"Text\", \"Record\"]},\n \"max_tokens\": {\n \"display_name\": \"Max Tokens\",\n \"advanced\": True,\n \"info\": \"The maximum number of tokens to generate. Set to 0 for unlimited tokens.\",\n },\n \"model_kwargs\": {\n \"display_name\": \"Model Kwargs\",\n \"advanced\": True,\n },\n \"model_name\": {\n \"display_name\": \"Model Name\",\n \"advanced\": False,\n \"options\": MODEL_NAMES,\n },\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"advanced\": True,\n \"info\": (\n \"The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\n\"\n \"You can change this to use other APIs like JinaChat, LocalAI and Prem.\"\n ),\n },\n \"openai_api_key\": {\n \"display_name\": \"OpenAI API Key\",\n \"info\": \"The OpenAI API Key to use for the OpenAI model.\",\n \"advanced\": False,\n \"password\": True,\n },\n \"temperature\": {\n \"display_name\": \"Temperature\",\n \"advanced\": False,\n \"value\": 0.1,\n },\n \"stream\": {\n \"display_name\": \"Stream\",\n \"info\": STREAM_INFO_TEXT,\n \"advanced\": True,\n },\n \"system_message\": {\n \"display_name\": \"System Message\",\n \"info\": \"System message to pass to the model.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Text | Record,\n openai_api_key: str,\n temperature: float = 0.1,\n model_name: str = \"gpt-4o\",\n max_tokens: Optional[int] = 256,\n model_kwargs: NestedDict = {},\n openai_api_base: Optional[str] = None,\n stream: bool = False,\n system_message: Optional[str] = None,\n ) -> Text:\n if not openai_api_base:\n openai_api_base = \"https://api.openai.com/v1\"\n if openai_api_key:\n api_key = SecretStr(openai_api_key)\n else:\n api_key = None\n\n output = ChatOpenAI(\n max_tokens=max_tokens or None,\n model_kwargs=model_kwargs,\n model=model_name,\n base_url=openai_api_base,\n api_key=api_key,\n temperature=temperature,\n )\n\n return self.get_chat_result(output, stream, input_value, system_message)\n",
"value": "from typing import Optional\n\nfrom langchain_openai import ChatOpenAI\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.base.constants import STREAM_INFO_TEXT\nfrom langflow.base.models.model import LCModelComponent\nfrom langflow.base.models.openai_constants import MODEL_NAMES\nfrom langflow.field_typing import NestedDict, Text\n\n\nclass OpenAIModelComponent(LCModelComponent):\n display_name = \"OpenAI\"\n description = \"Generates text using OpenAI LLMs.\"\n icon = \"OpenAI\"\n\n field_order = [\n \"max_tokens\",\n \"model_kwargs\",\n \"model_name\",\n \"openai_api_base\",\n \"openai_api_key\",\n \"temperature\",\n \"input_value\",\n \"system_message\",\n \"stream\",\n ]\n\n def build_config(self):\n return {\n \"input_value\": {\"display_name\": \"Input\"},\n \"max_tokens\": {\n \"display_name\": \"Max Tokens\",\n \"advanced\": True,\n \"info\": \"The maximum number of tokens to generate. Set to 0 for unlimited tokens.\",\n },\n \"model_kwargs\": {\n \"display_name\": \"Model Kwargs\",\n \"advanced\": True,\n },\n \"model_name\": {\n \"display_name\": \"Model Name\",\n \"advanced\": False,\n \"options\": MODEL_NAMES,\n },\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"advanced\": True,\n \"info\": (\n \"The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\n\"\n \"You can change this to use other APIs like JinaChat, LocalAI and Prem.\"\n ),\n },\n \"openai_api_key\": {\n \"display_name\": \"OpenAI API Key\",\n \"info\": \"The OpenAI API Key to use for the OpenAI model.\",\n \"advanced\": False,\n \"password\": True,\n },\n \"temperature\": {\n \"display_name\": \"Temperature\",\n \"advanced\": False,\n \"value\": 0.1,\n },\n \"stream\": {\n \"display_name\": \"Stream\",\n \"info\": STREAM_INFO_TEXT,\n \"advanced\": True,\n },\n \"system_message\": {\n \"display_name\": \"System Message\",\n \"info\": \"System message to pass to the model.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Text,\n openai_api_key: str,\n temperature: float = 0.1,\n model_name: str = \"gpt-4o\",\n max_tokens: Optional[int] = 256,\n model_kwargs: NestedDict = {},\n openai_api_base: Optional[str] = None,\n stream: bool = False,\n system_message: Optional[str] = None,\n ) -> Text:\n if not openai_api_base:\n openai_api_base = \"https://api.openai.com/v1\"\n if openai_api_key:\n api_key = SecretStr(openai_api_key)\n else:\n api_key = None\n\n output = ChatOpenAI(\n max_tokens=max_tokens or None,\n model_kwargs=model_kwargs,\n model=model_name,\n base_url=openai_api_base,\n api_key=api_key,\n temperature=temperature,\n )\n\n return self.get_chat_result(output, stream, input_value, system_message)\n",
"fileTypes": [],
"file_path": "",
"password": false,
@ -1259,8 +1258,7 @@
"load_from_db": false,
"title_case": false,
"input_types": [
"Text",
"Record"
"Text"
]
},
"code": {
@ -1270,7 +1268,7 @@
"list": false,
"show": true,
"multiline": true,
"value": "from typing import Optional\n\nfrom langchain_openai import ChatOpenAI\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.base.constants import STREAM_INFO_TEXT\nfrom langflow.base.models.model import LCModelComponent\nfrom langflow.base.models.openai_constants import MODEL_NAMES\nfrom langflow.field_typing import NestedDict, Text\nfrom langflow.schema.schema import Record\n\n\nclass OpenAIModelComponent(LCModelComponent):\n display_name = \"OpenAI\"\n description = \"Generates text using OpenAI LLMs.\"\n icon = \"OpenAI\"\n\n field_order = [\n \"max_tokens\",\n \"model_kwargs\",\n \"model_name\",\n \"openai_api_base\",\n \"openai_api_key\",\n \"temperature\",\n \"input_value\",\n \"system_message\",\n \"stream\",\n ]\n\n def build_config(self):\n return {\n \"input_value\": {\"display_name\": \"Input\", \"input_types\": [\"Text\", \"Record\"]},\n \"max_tokens\": {\n \"display_name\": \"Max Tokens\",\n \"advanced\": True,\n \"info\": \"The maximum number of tokens to generate. Set to 0 for unlimited tokens.\",\n },\n \"model_kwargs\": {\n \"display_name\": \"Model Kwargs\",\n \"advanced\": True,\n },\n \"model_name\": {\n \"display_name\": \"Model Name\",\n \"advanced\": False,\n \"options\": MODEL_NAMES,\n },\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"advanced\": True,\n \"info\": (\n \"The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\n\"\n \"You can change this to use other APIs like JinaChat, LocalAI and Prem.\"\n ),\n },\n \"openai_api_key\": {\n \"display_name\": \"OpenAI API Key\",\n \"info\": \"The OpenAI API Key to use for the OpenAI model.\",\n \"advanced\": False,\n \"password\": True,\n },\n \"temperature\": {\n \"display_name\": \"Temperature\",\n \"advanced\": False,\n \"value\": 0.1,\n },\n \"stream\": {\n \"display_name\": \"Stream\",\n \"info\": STREAM_INFO_TEXT,\n \"advanced\": True,\n },\n \"system_message\": {\n \"display_name\": \"System Message\",\n \"info\": \"System message to pass to the model.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Text | Record,\n openai_api_key: str,\n temperature: float = 0.1,\n model_name: str = \"gpt-4o\",\n max_tokens: Optional[int] = 256,\n model_kwargs: NestedDict = {},\n openai_api_base: Optional[str] = None,\n stream: bool = False,\n system_message: Optional[str] = None,\n ) -> Text:\n if not openai_api_base:\n openai_api_base = \"https://api.openai.com/v1\"\n if openai_api_key:\n api_key = SecretStr(openai_api_key)\n else:\n api_key = None\n\n output = ChatOpenAI(\n max_tokens=max_tokens or None,\n model_kwargs=model_kwargs,\n model=model_name,\n base_url=openai_api_base,\n api_key=api_key,\n temperature=temperature,\n )\n\n return self.get_chat_result(output, stream, input_value, system_message)\n",
"value": "from typing import Optional\n\nfrom langchain_openai import ChatOpenAI\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.base.constants import STREAM_INFO_TEXT\nfrom langflow.base.models.model import LCModelComponent\nfrom langflow.base.models.openai_constants import MODEL_NAMES\nfrom langflow.field_typing import NestedDict, Text\n\n\nclass OpenAIModelComponent(LCModelComponent):\n display_name = \"OpenAI\"\n description = \"Generates text using OpenAI LLMs.\"\n icon = \"OpenAI\"\n\n field_order = [\n \"max_tokens\",\n \"model_kwargs\",\n \"model_name\",\n \"openai_api_base\",\n \"openai_api_key\",\n \"temperature\",\n \"input_value\",\n \"system_message\",\n \"stream\",\n ]\n\n def build_config(self):\n return {\n \"input_value\": {\"display_name\": \"Input\"},\n \"max_tokens\": {\n \"display_name\": \"Max Tokens\",\n \"advanced\": True,\n \"info\": \"The maximum number of tokens to generate. Set to 0 for unlimited tokens.\",\n },\n \"model_kwargs\": {\n \"display_name\": \"Model Kwargs\",\n \"advanced\": True,\n },\n \"model_name\": {\n \"display_name\": \"Model Name\",\n \"advanced\": False,\n \"options\": MODEL_NAMES,\n },\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"advanced\": True,\n \"info\": (\n \"The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\n\"\n \"You can change this to use other APIs like JinaChat, LocalAI and Prem.\"\n ),\n },\n \"openai_api_key\": {\n \"display_name\": \"OpenAI API Key\",\n \"info\": \"The OpenAI API Key to use for the OpenAI model.\",\n \"advanced\": False,\n \"password\": True,\n },\n \"temperature\": {\n \"display_name\": \"Temperature\",\n \"advanced\": False,\n \"value\": 0.1,\n },\n \"stream\": {\n \"display_name\": \"Stream\",\n \"info\": STREAM_INFO_TEXT,\n \"advanced\": True,\n },\n \"system_message\": {\n \"display_name\": \"System Message\",\n \"info\": \"System message to pass to the model.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Text,\n openai_api_key: str,\n temperature: float = 0.1,\n model_name: str = \"gpt-4o\",\n max_tokens: Optional[int] = 256,\n model_kwargs: NestedDict = {},\n openai_api_base: Optional[str] = None,\n stream: bool = False,\n system_message: Optional[str] = None,\n ) -> Text:\n if not openai_api_base:\n openai_api_base = \"https://api.openai.com/v1\"\n if openai_api_key:\n api_key = SecretStr(openai_api_key)\n else:\n api_key = None\n\n output = ChatOpenAI(\n max_tokens=max_tokens or None,\n model_kwargs=model_kwargs,\n model=model_name,\n base_url=openai_api_base,\n api_key=api_key,\n temperature=temperature,\n )\n\n return self.get_chat_result(output, stream, input_value, system_message)\n",
"fileTypes": [],
"file_path": "",
"password": false,

7
src/backend/base/langflow/initial_setup/starter_projects/VectorStore-RAG-Flows.json
View file

@ -841,8 +841,7 @@
"load_from_db": false,
"title_case": false,
"input_types": [
"Text",
"Record"
"Text"
]
},
"code": {
@ -852,7 +851,7 @@
"list": false,
"show": true,
"multiline": true,
"value": "from typing import Optional\n\nfrom langchain_openai import ChatOpenAI\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.base.constants import STREAM_INFO_TEXT\nfrom langflow.base.models.model import LCModelComponent\nfrom langflow.base.models.openai_constants import MODEL_NAMES\nfrom langflow.field_typing import NestedDict, Text\nfrom langflow.schema.schema import Record\n\n\nclass OpenAIModelComponent(LCModelComponent):\n display_name = \"OpenAI\"\n description = \"Generates text using OpenAI LLMs.\"\n icon = \"OpenAI\"\n\n field_order = [\n \"max_tokens\",\n \"model_kwargs\",\n \"model_name\",\n \"openai_api_base\",\n \"openai_api_key\",\n \"temperature\",\n \"input_value\",\n \"system_message\",\n \"stream\",\n ]\n\n def build_config(self):\n return {\n \"input_value\": {\"display_name\": \"Input\", \"input_types\": [\"Text\", \"Record\"]},\n \"max_tokens\": {\n \"display_name\": \"Max Tokens\",\n \"advanced\": True,\n \"info\": \"The maximum number of tokens to generate. Set to 0 for unlimited tokens.\",\n },\n \"model_kwargs\": {\n \"display_name\": \"Model Kwargs\",\n \"advanced\": True,\n },\n \"model_name\": {\n \"display_name\": \"Model Name\",\n \"advanced\": False,\n \"options\": MODEL_NAMES,\n },\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"advanced\": True,\n \"info\": (\n \"The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\n\"\n \"You can change this to use other APIs like JinaChat, LocalAI and Prem.\"\n ),\n },\n \"openai_api_key\": {\n \"display_name\": \"OpenAI API Key\",\n \"info\": \"The OpenAI API Key to use for the OpenAI model.\",\n \"advanced\": False,\n \"password\": True,\n },\n \"temperature\": {\n \"display_name\": \"Temperature\",\n \"advanced\": False,\n \"value\": 0.1,\n },\n \"stream\": {\n \"display_name\": \"Stream\",\n \"info\": STREAM_INFO_TEXT,\n \"advanced\": True,\n },\n \"system_message\": {\n \"display_name\": \"System Message\",\n \"info\": \"System message to pass to the model.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Text | Record,\n openai_api_key: str,\n temperature: float = 0.1,\n model_name: str = \"gpt-4o\",\n max_tokens: Optional[int] = 256,\n model_kwargs: NestedDict = {},\n openai_api_base: Optional[str] = None,\n stream: bool = False,\n system_message: Optional[str] = None,\n ) -> Text:\n if not openai_api_base:\n openai_api_base = \"https://api.openai.com/v1\"\n if openai_api_key:\n api_key = SecretStr(openai_api_key)\n else:\n api_key = None\n\n output = ChatOpenAI(\n max_tokens=max_tokens or None,\n model_kwargs=model_kwargs,\n model=model_name,\n base_url=openai_api_base,\n api_key=api_key,\n temperature=temperature,\n )\n\n return self.get_chat_result(output, stream, input_value, system_message)\n",
"value": "from typing import Optional\n\nfrom langchain_openai import ChatOpenAI\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.base.constants import STREAM_INFO_TEXT\nfrom langflow.base.models.model import LCModelComponent\nfrom langflow.base.models.openai_constants import MODEL_NAMES\nfrom langflow.field_typing import NestedDict, Text\n\n\nclass OpenAIModelComponent(LCModelComponent):\n display_name = \"OpenAI\"\n description = \"Generates text using OpenAI LLMs.\"\n icon = \"OpenAI\"\n\n field_order = [\n \"max_tokens\",\n \"model_kwargs\",\n \"model_name\",\n \"openai_api_base\",\n \"openai_api_key\",\n \"temperature\",\n \"input_value\",\n \"system_message\",\n \"stream\",\n ]\n\n def build_config(self):\n return {\n \"input_value\": {\"display_name\": \"Input\"},\n \"max_tokens\": {\n \"display_name\": \"Max Tokens\",\n \"advanced\": True,\n \"info\": \"The maximum number of tokens to generate. Set to 0 for unlimited tokens.\",\n },\n \"model_kwargs\": {\n \"display_name\": \"Model Kwargs\",\n \"advanced\": True,\n },\n \"model_name\": {\n \"display_name\": \"Model Name\",\n \"advanced\": False,\n \"options\": MODEL_NAMES,\n },\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"advanced\": True,\n \"info\": (\n \"The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\\n\\n\"\n \"You can change this to use other APIs like JinaChat, LocalAI and Prem.\"\n ),\n },\n \"openai_api_key\": {\n \"display_name\": \"OpenAI API Key\",\n \"info\": \"The OpenAI API Key to use for the OpenAI model.\",\n \"advanced\": False,\n \"password\": True,\n },\n \"temperature\": {\n \"display_name\": \"Temperature\",\n \"advanced\": False,\n \"value\": 0.1,\n },\n \"stream\": {\n \"display_name\": \"Stream\",\n \"info\": STREAM_INFO_TEXT,\n \"advanced\": True,\n },\n \"system_message\": {\n \"display_name\": \"System Message\",\n \"info\": \"System message to pass to the model.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Text,\n openai_api_key: str,\n temperature: float = 0.1,\n model_name: str = \"gpt-4o\",\n max_tokens: Optional[int] = 256,\n model_kwargs: NestedDict = {},\n openai_api_base: Optional[str] = None,\n stream: bool = False,\n system_message: Optional[str] = None,\n ) -> Text:\n if not openai_api_base:\n openai_api_base = \"https://api.openai.com/v1\"\n if openai_api_key:\n api_key = SecretStr(openai_api_key)\n else:\n api_key = None\n\n output = ChatOpenAI(\n max_tokens=max_tokens or None,\n model_kwargs=model_kwargs,\n model=model_name,\n base_url=openai_api_base,\n api_key=api_key,\n temperature=temperature,\n )\n\n return self.get_chat_result(output, stream, input_value, system_message)\n",
"fileTypes": [],
"file_path": "",
"password": false,
@ -1107,7 +1106,7 @@
"list": false,
"show": true,
"multiline": true,
"value": "from itertools import chain\n\n\nfrom langchain_core.prompts import ChatPromptTemplate\n\nfrom langflow.base.prompts.utils import dict_values_to_string\nfrom langflow.custom import CustomComponent\nfrom langflow.field_typing import Prompt, TemplateField, Text\nfrom langflow.schema.schema import Record\n\n\nclass PromptComponent(CustomComponent):\n display_name: str = \"Prompt\"\n description: str = \"Create a prompt template with dynamic variables.\"\n icon = \"prompts\"\n\n def build_config(self):\n return {\n \"template\": TemplateField(display_name=\"Template\"),\n \"code\": TemplateField(advanced=True),\n }\n\n async def build(\n self,\n template: Prompt,\n **kwargs,\n ) -> Record:\n prompt_template = ChatPromptTemplate.from_template(Text(template))\n kwargs = await dict_values_to_string(kwargs)\n messages = list(kwargs.values())\n prompt = prompt_template + messages\n self.status = f'Prompt:\\n\"{template}\"'\n return Record(data={\"prompt\": prompt.to_json()})\n",
"value": "from langchain_core.prompts import ChatPromptTemplate\n\nfrom langflow.base.prompts.utils import dict_values_to_string\nfrom langflow.custom import CustomComponent\nfrom langflow.field_typing import Prompt, TemplateField, Text\nfrom langflow.schema.schema import Record\n\n\nclass PromptComponent(CustomComponent):\n display_name: str = \"Prompt\"\n description: str = \"Create a prompt template with dynamic variables.\"\n icon = \"prompts\"\n\n def build_config(self):\n return {\n \"template\": TemplateField(display_name=\"Template\"),\n \"code\": TemplateField(advanced=True),\n }\n\n async def build(\n self,\n template: Prompt,\n **kwargs,\n ) -> Record:\n prompt_template = ChatPromptTemplate.from_template(Text(template))\n kwargs = await dict_values_to_string(kwargs)\n messages = list(kwargs.values())\n prompt = prompt_template + messages\n self.status = f'Prompt:\\n\"{template}\"'\n return Record(data={\"prompt\": prompt.to_json()})\n",
"fileTypes": [],
"file_path": "",
"password": false,

1
src/backend/base/langflow/services/database/models/api_key/model.py
View file

@ -55,6 +55,7 @@ class ApiKeyRead(ApiKeyBase):
id: UUID
api_key: str = Field(schema_extra={"validate_default": True})
user_id: UUID = Field()
created_at: datetime = Field()
@field_validator("api_key")
@classmethod

12
src/backend/base/poetry.lock generated
View file

@ -1296,13 +1296,13 @@ types-requests = ">=2.31.0.2,<3.0.0.0"
[[package]]
name = "langsmith"
version = "0.1.72"
version = "0.1.75"
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-0.1.72-py3-none-any.whl", hash = "sha256:a4456707669521bd75b7431b9205a6b99579fb9ff01bd338f52d29df11a7662d"},
{file = "langsmith-0.1.72.tar.gz", hash = "sha256:262ae9e8aceaba50f3a0f5b6eb559d6110886f0afc6b0ed5270e7d3d3f1fd8d6"},
{file = "langsmith-0.1.75-py3-none-any.whl", hash = "sha256:d08b08dd6b3fa4da170377f95123d77122ef4c52999d10fff4ae08ff70d07aed"},
{file = "langsmith-0.1.75.tar.gz", hash = "sha256:61274e144ea94c297dd78ce03e6dfae18459fe9bd8ab5094d61a0c4816561279"},
]
[package.dependencies]
@ -1600,13 +1600,13 @@ files = [
[[package]]
name = "marshmallow"
version = "3.21.2"
version = "3.21.3"
description = "A lightweight library for converting complex datatypes to and from native Python datatypes."
optional = false
python-versions = ">=3.8"
files = [
{file = "marshmallow-3.21.2-py3-none-any.whl", hash = "sha256:70b54a6282f4704d12c0a41599682c5c5450e843b9ec406308653b47c59648a1"},
{file = "marshmallow-3.21.2.tar.gz", hash = "sha256:82408deadd8b33d56338d2182d455db632c6313aa2af61916672146bb32edc56"},
{file = "marshmallow-3.21.3-py3-none-any.whl", hash = "sha256:86ce7fb914aa865001a4b2092c4c2872d13bc347f3d42673272cabfdbad386f1"},
{file = "marshmallow-3.21.3.tar.gz", hash = "sha256:4f57c5e050a54d66361e826f94fba213eb10b67b2fdb02c3e0343ce207ba1662"},
]
[package.dependencies]

2
src/backend/base/pyproject.toml
View file

@ -1,6 +1,6 @@
[tool.poetry]
name = "langflow-base"
version = "0.0.57"
version = "0.0.59"
description = "A Python package with a built-in web application"
authors = ["Langflow <contact@langflow.org>"]
maintainers = [

33
src/frontend/package-lock.json generated
View file

@ -41,9 +41,9 @@
"class-variance-authority": "^0.6.1",
"clsx": "^1.2.1",
"cmdk": "^1.0.0",
"debounce-promise": "^3.1.2",
"dompurify": "^3.0.5",
"dotenv": "^16.4.5",
"emoji-regex": "^10.3.0",
"esbuild": "^0.17.19",
"file-saver": "^2.0.5",
"framer-motion": "^11.0.6",
@ -52,6 +52,7 @@
"million": "^3.0.6",
"moment": "^2.29.4",
"openseadragon": "^4.1.1",
"p-debounce": "^4.0.0",
"playwright": "^1.42.0",
"react": "^18.2.21",
"react-ace": "^10.1.0",
@ -5697,11 +5698,6 @@
"node": ">=12"
}
},
"node_modules/debounce-promise": {
"version": "3.1.2",
"resolved": "https://registry.npmjs.org/debounce-promise/-/debounce-promise-3.1.2.tgz",
"integrity": "sha512-rZHcgBkbYavBeD9ej6sP56XfG53d51CD4dnaw989YX/nZ/ZJfgRx/9ePKmTNiUiyQvh4mtrMoS3OAWW+yoYtpg=="
},
"node_modules/debug": {
"version": "4.3.4",
"resolved": "https://registry.npmjs.org/debug/-/debug-4.3.4.tgz",
@ -5997,9 +5993,9 @@
"integrity": "sha512-NPtACGFe7vunRYzvYqVRhQvsDrTevxpgDKxG/Vcbe0BTNOY+5+/2mOXSw2ls7ToNbE5Bf/+uQbjTxcmwMozpCw=="
},
"node_modules/emoji-regex": {
"version": "8.0.0",
"resolved": "https://registry.npmjs.org/emoji-regex/-/emoji-regex-8.0.0.tgz",
"integrity": "sha512-MSjYzcWNOA0ewAHpz0MxpYFvwg6yjy1NG3xteoqz644VCo/RPgnr1/GGt+ic3iJTzQ8Eu3TdM14SawnVUmGE6A=="
"version": "10.3.0",
"resolved": "https://registry.npmjs.org/emoji-regex/-/emoji-regex-10.3.0.tgz",
"integrity": "sha512-QpLs9D9v9kArv4lfDEgg1X/gN5XLnf/A6l9cs8SPZLRZR3ZkY9+kwIQTxm+fsSej5UMYGE8fdoaZVIBlqG0XTw=="
},
"node_modules/end-of-stream": {
"version": "1.4.4",
@ -10050,6 +10046,15 @@
"node": ">=8"
}
},
"node_modules/p-debounce": {
"version": "4.0.0",
"resolved": "https://registry.npmjs.org/p-debounce/-/p-debounce-4.0.0.tgz",
"integrity": "sha512-4Ispi9I9qYGO4lueiLDhe4q4iK5ERK8reLsuzH6BPaXn53EGaua8H66PXIFGrW897hwjXp+pVLrm/DLxN0RF0A==",
"license": "MIT",
"engines": {
"node": ">=12"
}
},
"node_modules/p-finally": {
"version": "1.0.0",
"resolved": "https://registry.npmjs.org/p-finally/-/p-finally-1.0.0.tgz",
@ -12205,6 +12210,16 @@
"node": ">=8"
}
},
"node_modules/string-width-cjs/node_modules/emoji-regex": {
"version": "8.0.0",
"resolved": "https://registry.npmjs.org/emoji-regex/-/emoji-regex-8.0.0.tgz",
"integrity": "sha512-MSjYzcWNOA0ewAHpz0MxpYFvwg6yjy1NG3xteoqz644VCo/RPgnr1/GGt+ic3iJTzQ8Eu3TdM14SawnVUmGE6A=="
},
"node_modules/string-width/node_modules/emoji-regex": {
"version": "8.0.0",
"resolved": "https://registry.npmjs.org/emoji-regex/-/emoji-regex-8.0.0.tgz",
"integrity": "sha512-MSjYzcWNOA0ewAHpz0MxpYFvwg6yjy1NG3xteoqz644VCo/RPgnr1/GGt+ic3iJTzQ8Eu3TdM14SawnVUmGE6A=="
},
"node_modules/strip-ansi": {
"version": "6.0.1",
"resolved": "https://registry.npmjs.org/strip-ansi/-/strip-ansi-6.0.1.tgz",

3
src/frontend/package.json
View file

@ -36,9 +36,9 @@
"class-variance-authority": "^0.6.1",
"clsx": "^1.2.1",
"cmdk": "^1.0.0",
"debounce-promise": "^3.1.2",
"dompurify": "^3.0.5",
"dotenv": "^16.4.5",
"emoji-regex": "^10.3.0",
"esbuild": "^0.17.19",
"file-saver": "^2.0.5",
"framer-motion": "^11.0.6",
@ -47,6 +47,7 @@
"million": "^3.0.6",
"moment": "^2.29.4",
"openseadragon": "^4.1.1",
"p-debounce": "^4.0.0",
"playwright": "^1.42.0",
"react": "^18.2.21",
"react-ace": "^10.1.0",

10
src/frontend/src/App.css
View file

@ -164,3 +164,13 @@ body {
.ag-body-vertical-scroll-viewport::-webkit-scrollbar-thumb:hover {
background-color: #bbb;
}
/* This CSS is to not apply the border for the column having 'no-border' class */
.no-border.ag-cell:focus {
border: none !important;
outline: none;
}
.no-border.ag-cell {
border: none !important;
outline: none;
}

0
src/frontend/src/customNodes/genericNode/components/parameterComponent/constants.ts → src/frontend/src/CustomNodes/GenericNode/components/parameterComponent/constants.ts
View file

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

@ -67,7 +67,6 @@ export default function ParameterComponent({
const ref = useRef<HTMLDivElement>(null);
const refHtml = useRef<HTMLDivElement & ReactNode>(null);
const infoHtml = useRef<HTMLDivElement & ReactNode>(null);
const setErrorData = useAlertStore((state) => state.setErrorData);
const currentFlow = useFlowsManagerStore((state) => state.currentFlow);
const nodes = useFlowStore((state) => state.nodes);
const edges = useFlowStore((state) => state.edges);
@ -392,7 +391,7 @@ export default function ParameterComponent({
});
}}
name={name}
data={data}
data={data.node?.template[name]}
/>
</div>
{data.node?.template[name]?.refresh_button && (
@ -448,8 +447,8 @@ export default function ParameterComponent({
data.node?.template[name]?.real_time_refresh)
}
>
<div className="mt-2 flex w-full items-center">
<div className="w-5/6 flex-grow">
<div className="mt-2 flex w-full items-center gap-2">
<div className="flex-1">
<Dropdown
disabled={disabled}
isLoading={isLoading}
@ -467,7 +466,6 @@ export default function ParameterComponent({
name={name}
data={data}
button_text={data.node?.template[name]?.refresh_button_text}
className="extra-side-bar-buttons ml-2 mt-1"
handleUpdateValues={handleRefreshButtonPress}
id={"refresh-button-" + name}
/>

0
src/frontend/src/customNodes/genericNode/components/tooltipRenderComponent/index.tsx → src/frontend/src/CustomNodes/GenericNode/components/tooltipRenderComponent/index.tsx
View file

42
src/frontend/src/customNodes/genericNode/index.tsx → src/frontend/src/CustomNodes/GenericNode/index.tsx
View file

@ -1,3 +1,4 @@
import emojiRegex from "emoji-regex";
import { cloneDeep } from "lodash";
import { useCallback, useEffect, useMemo, useState } from "react";
import { NodeToolbar, useUpdateNodeInternals } from "reactflow";
@ -225,8 +226,7 @@ export default function GenericNode({
const nameEditable = true;
const emojiRegex = /\p{Emoji}/u;
const isEmoji = emojiRegex.test(data?.node?.icon!);
const isEmoji = emojiRegex().test(data?.node?.icon!);
const iconNodeRender = useCallback(() => {
const iconElement = data?.node?.icon;
@ -262,6 +262,15 @@ export default function GenericNode({
buildStatus: BuildStatus | undefined,
validationStatus: VertexBuildTypeAPI | null
) => {
const conditionSuccess = validationStatus && validationStatus.valid;
const conditionInactive =
validationStatus &&
!validationStatus.valid &&
buildStatus === BuildStatus.INACTIVE;
const conditionError =
buildStatus === BuildStatus.ERROR ||
(validationStatus && !validationStatus.valid);
if (buildStatus === BuildStatus.BUILDING) {
return <Loading className="text-medium-indigo" />;
} else {
@ -269,31 +278,30 @@ export default function GenericNode({
<>
<IconComponent
name="Play"
className="absolute ml-0.5 h-5 fill-current stroke-2 text-medium-indigo opacity-0 transition-all group-hover:opacity-100"
className={cn(
!conditionSuccess && !conditionInactive && !conditionError
? "opacity-100"
: "opacity-0",
"absolute ml-0.5 h-5 fill-current stroke-2 text-muted-foreground transition-all group-hover:text-medium-indigo group-hover/node:opacity-100"
)}
/>
{validationStatus && validationStatus.valid ? (
{conditionSuccess ? (
<Checkmark
className="absolute ml-0.5 h-5 stroke-2 text-status-green opacity-100 transition-all group-hover:opacity-0"
className="absolute ml-0.5 h-5 stroke-2 text-status-green opacity-100 transition-all group-hover/node:opacity-0"
isVisible={true}
/>
) : validationStatus &&
!validationStatus.valid &&
buildStatus === BuildStatus.INACTIVE ? (
) : conditionInactive ? (
<IconComponent
name="Play"
className="absolute ml-0.5 h-5 fill-current stroke-2 text-status-green opacity-30 transition-all group-hover:opacity-0"
className="absolute ml-0.5 h-5 fill-current stroke-2 text-status-gray opacity-30 transition-all group-hover/node:opacity-0"
/>
) : buildStatus === BuildStatus.ERROR ||
(validationStatus && !validationStatus.valid) ? (
) : conditionError ? (
<Xmark
isVisible={true}
className="absolute ml-0.5 h-5 fill-current stroke-2 text-status-red opacity-100 transition-all group-hover:opacity-0"
className="absolute ml-0.5 h-5 fill-current stroke-2 text-status-red opacity-100 transition-all group-hover/node:opacity-0"
/>
) : (
<IconComponent
name="Play"
className="absolute ml-0.5 h-5 fill-current stroke-2 text-muted-foreground opacity-100 transition-all group-hover:opacity-0"
/>
<></>
)}
</>
);
@ -337,7 +345,7 @@ export default function GenericNode({
const names = classNames(
baseBorderClass,
nodeSizeClass,
"generic-node-div",
"generic-node-div group/node",
specificClassFromBuildStatus
);
return names;

0
src/frontend/src/customNodes/hooks/use-fetch-data-on-mount.tsx → src/frontend/src/CustomNodes/hooks/use-fetch-data-on-mount.tsx
View file

0
src/frontend/src/customNodes/hooks/use-handle-new-value.tsx → src/frontend/src/CustomNodes/hooks/use-handle-new-value.tsx
View file

0
src/frontend/src/customNodes/hooks/use-handle-node-class.tsx → src/frontend/src/CustomNodes/hooks/use-handle-node-class.tsx
View file

0
src/frontend/src/customNodes/hooks/use-handle-refresh-buttons.tsx → src/frontend/src/CustomNodes/hooks/use-handle-refresh-buttons.tsx
View file

0
src/frontend/src/customNodes/utils/get-field-title.tsx → src/frontend/src/CustomNodes/utils/get-field-title.tsx
View file

0
src/frontend/src/customNodes/utils/sort-fields.tsx → src/frontend/src/CustomNodes/utils/sort-fields.tsx
View file

6
src/frontend/src/alerts/error/index.tsx
View file

@ -51,13 +51,15 @@ export default function ErrorAlert({
/>
</div>
<div className="ml-3">
<h3 className="error-build-foreground">{title}</h3>
<h3 className="error-build-foreground line-clamp-2">{title}</h3>
{list?.length !== 0 &&
list?.some((item) => item !== null && item !== undefined) ? (
<div className="error-build-message-div">
<ul className="error-build-message-list">
{list.map((item, index) => (
<li key={index}>{item}</li>
<li key={index} className="line-clamp-5">
{item}
</li>
))}
</ul>
</div>

2
src/frontend/src/alerts/notice/index.tsx
View file

@ -47,7 +47,7 @@ export default function NoticeAlert({
/>
</div>
<div className="ml-3 flex-1 md:flex md:justify-between">
<p className="text-sm text-info-foreground word-break-break-word">
<p className="line-clamp-2 text-sm text-info-foreground word-break-break-word">
{title}
</p>
<p className="mt-3 text-sm md:ml-6 md:mt-0">

2
src/frontend/src/alerts/success/index.tsx
View file

@ -45,7 +45,7 @@ export default function SuccessAlert({
/>
</div>
<div className="ml-3">
<p className="success-alert-message">{title}</p>
<p className="success-alert-message line-clamp-2">{title}</p>
</div>
</div>
</div>

5
src/frontend/src/components/dropdownComponent/index.tsx
View file

@ -33,9 +33,8 @@ export default function Dropdown({
const refButton = useRef<HTMLButtonElement>(null);
const PopoverContentDropdown = children
? PopoverContent
: PopoverContentWithoutPortal;
const PopoverContentDropdown =
children || editNode ? PopoverContent : PopoverContentWithoutPortal;
return (
<>

44
src/frontend/src/components/headerComponent/index.tsx
View file

@ -81,14 +81,16 @@ export default function Header(): JSX.Element {
<span className="ml-4 text-2xl">⛓️</span>
</Link>
{showArrowReturnIcon && (
<button
<Button
variant="none"
size="none"
onClick={() => {
checkForChanges();
redirectToLastLocation();
}}
>
<IconComponent name="ChevronLeft" className="w-4" />
</button>
</Button>
)}
<MenuBar />
@ -181,24 +183,14 @@ export default function Header(): JSX.Element {
/>
</div>
</AlertDropdown>
{autoLogin && (
<button
onClick={() => {
navigate("/account/api-keys");
}}
>
<IconComponent
name="Key"
className="side-bar-button-size text-muted-foreground hover:text-accent-foreground"
/>
</button>
)}
<>
<Separator orientation="vertical" />
<DropdownMenu>
<DropdownMenuTrigger asChild>
<button
<Button
variant="none"
size="none"
data-testid="user-profile-settings"
className={
"h-7 w-7 rounded-full focus-visible:outline-0 " +
@ -212,6 +204,28 @@ export default function Header(): JSX.Element {
/>
</DropdownMenuTrigger>
<DropdownMenuContent>
{!autoLogin && (
<>
<DropdownMenuLabel>
<div className="flex items-center gap-3">
<div
className={
"h-5 w-5 rounded-full focus-visible:outline-0 " +
(userData?.profile_image ??
(userData?.id
? gradients[
parseInt(userData?.id ?? "", 30) %
gradients.length
]
: "bg-gray-500"))
}
/>
{userData?.username ?? "User"}
</div>
</DropdownMenuLabel>
<DropdownMenuSeparator />
</>
)}
<DropdownMenuLabel>General</DropdownMenuLabel>
<DropdownMenuItem
className="cursor-pointer"

13
src/frontend/src/components/inputComponent/components/popover/index.tsx
View file

@ -10,7 +10,11 @@ import {
CommandList,
} from "../../../ui/command";
import { Input } from "../../../ui/input";
import { Popover, PopoverContentWithoutPortal } from "../../../ui/popover";
import {
Popover,
PopoverContent,
PopoverContentWithoutPortal,
} from "../../../ui/popover";
const CustomInputPopover = ({
id,
refInput,
@ -39,6 +43,9 @@ const CustomInputPopover = ({
showOptions,
}) => {
const setErrorData = useAlertStore.getState().setErrorData;
const PopoverContentInput = editNode
? PopoverContent
: PopoverContentWithoutPortal;
const handleInputChange = (e) => {
if (password) {
@ -107,7 +114,7 @@ const CustomInputPopover = ({
data-testid={editNode ? id + "-edit" : id}
/>
</PopoverAnchor>
<PopoverContentWithoutPortal
<PopoverContentInput
className="nocopy nowheel nopan nodelete nodrag noundo p-0"
style={{ minWidth: refInput?.current?.clientWidth ?? "200px" }}
side="bottom"
@ -184,7 +191,7 @@ const CustomInputPopover = ({
</CommandGroup>
</CommandList>
</Command>
</PopoverContentWithoutPortal>
</PopoverContentInput>
</Popover>
);
};

15
src/frontend/src/components/inputComponent/components/popoverObject/index.tsx
View file

@ -9,7 +9,11 @@ import {
CommandList,
} from "../../../ui/command";
import { Input } from "../../../ui/input";
import { Popover, PopoverContentWithoutPortal } from "../../../ui/popover";
import {
Popover,
PopoverContent,
PopoverContentWithoutPortal,
} from "../../../ui/popover";
const CustomInputPopoverObject = ({
id,
refInput,
@ -23,6 +27,7 @@ const CustomInputPopoverObject = ({
disabled,
setShowOptions,
required,
editNode,
className,
placeholder,
onChange,
@ -34,6 +39,10 @@ const CustomInputPopoverObject = ({
handleKeyDown,
showOptions,
}) => {
const PopoverContentInput = editNode
? PopoverContent
: PopoverContentWithoutPortal;
const handleInputChange = (e) => {
onChange && onChange(e.target.value);
};
@ -79,7 +88,7 @@ const CustomInputPopoverObject = ({
data-testid={id}
/>
</PopoverAnchor>
<PopoverContentWithoutPortal
<PopoverContentInput
className="nocopy nowheel nopan nodelete nodrag noundo p-0"
style={{ minWidth: refInput?.current?.clientWidth ?? "200px" }}
side="bottom"
@ -159,7 +168,7 @@ const CustomInputPopoverObject = ({
</CommandGroup>
</CommandList>
</Command>
</PopoverContentWithoutPortal>
</PopoverContentInput>
</Popover>
);
};

1
src/frontend/src/components/inputComponent/index.tsx
View file

@ -108,6 +108,7 @@ export default function InputComponent({
setSelectedOptions={setSelectedOptions}
options={objectOptions}
value={value}
editNode={editNode}
autoFocus={autoFocus}
disabled={disabled}
setShowOptions={setShowOptions}

33
src/frontend/src/components/inputGlobalComponent/index.tsx
View file

@ -32,11 +32,11 @@ export default function InputGlobalComponent({
const setErrorData = useAlertStore((state) => state.setErrorData);
useEffect(() => {
if (data.node?.template[name])
if (data)
if (
globalVariablesEntries &&
!globalVariablesEntries.includes(data.node?.template[name].value) &&
data.node?.template[name].load_from_db
!globalVariablesEntries.includes(data.value) &&
data.load_from_db
) {
setTimeout(() => {
onChange("", true);
@ -46,17 +46,11 @@ export default function InputGlobalComponent({
}, [globalVariablesEntries]);
useEffect(() => {
if (
!data.node?.template[name].value &&
data.node?.template[name].display_name
) {
if (
unavaliableFields[data.node?.template[name].display_name!] &&
!disabled
) {
if (!data.value && data.display_name) {
if (unavaliableFields[data.display_name!] && !disabled) {
setTimeout(() => {
setDb(true);
onChange(unavaliableFields[data.node?.template[name].display_name!]);
onChange(unavaliableFields[data.display_name!]);
}, 100);
}
}
@ -68,10 +62,7 @@ export default function InputGlobalComponent({
await deleteGlobalVariable(id)
.then(() => {
removeGlobalVariable(key);
if (
data?.node?.template[name].value === key &&
data?.node?.template[name].load_from_db
) {
if (data?.value === key && data?.load_from_db) {
onChange("");
setDb(false);
}
@ -94,8 +85,8 @@ export default function InputGlobalComponent({
id={"input-" + name}
editNode={editNode}
disabled={disabled}
password={data.node?.template[name].password ?? false}
value={data.node?.template[name].value ?? ""}
password={data.password ?? false}
value={data.value ?? ""}
options={globalVariablesEntries}
optionsPlaceholder={"Global Variables"}
optionsIcon="Globe"
@ -138,10 +129,10 @@ export default function InputGlobalComponent({
</DeleteConfirmationModal>
)}
selectedOption={
data?.node?.template[name].load_from_db &&
data?.load_from_db &&
globalVariablesEntries &&
globalVariablesEntries.includes(data?.node?.template[name].value ?? "")
? data?.node?.template[name].value
globalVariablesEntries.includes(data?.value ?? "")
? data?.value
: ""
}
setSelectedOption={(value) => {

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

@ -11,7 +11,7 @@ export default function ShadTooltip({
delayDuration = 500,
}: ShadToolTipType): JSX.Element {
return (
<Tooltip delayDuration={delayDuration}>
<Tooltip defaultOpen={!children} delayDuration={delayDuration}>
<TooltipTrigger asChild={asChild}>{children}</TooltipTrigger>
<TooltipContent
className={cn(styleClasses, "max-w-96")}

14
src/frontend/src/components/sidebarComponent/components/sideBarFolderButtons/index.tsx
View file

@ -13,6 +13,7 @@ import IconComponent, {
import { Button, buttonVariants } from "../../../ui/button";
import { Input } from "../../../ui/input";
import useFileDrop from "../../hooks/use-on-file-drop";
import useAlertStore from "../../../../stores/alertStore";
type SideBarFoldersButtonsComponentProps = {
folders: FolderType[];
@ -51,6 +52,7 @@ const SideBarFoldersButtonsComponent = ({
const location = useLocation();
const folderId = location?.state?.folderId ?? myCollectionId;
const getFolderById = useFolderStore((state) => state.getFolderById);
const setErrorData = useAlertStore((state) => state.setErrorData);
const handleFolderChange = (folderId: string) => {
getFolderById(folderId);
@ -62,7 +64,17 @@ const SideBarFoldersButtonsComponent = ({
);
const handleUploadFlowsToFolder = () => {
uploadFolder(folderId);
uploadFolder(folderId)
.then(() => {
getFolderById(folderId);
})
.catch((err) => {
console.log(err);
setErrorData({
title: `Error on upload`,
list: [err["response"]["data"]],
});
});
};
const handleDownloadFolder = (id: string) => {

1
src/frontend/src/components/sidebarComponent/index.tsx
View file

@ -12,7 +12,6 @@ type SidebarNavProps = {
title: string;
icon: React.ReactNode;
}[];
handleOpenNewFolderModal?: () => void;
handleChangeFolder?: (id: string) => void;
handleEditFolder?: (item: FolderType) => void;
handleDeleteFolder?: (item: FolderType) => void;

15
src/frontend/src/components/tableAutoCellRender/index.tsx → src/frontend/src/components/tableComponent/components/tableAutoCellRender/index.tsx
View file

@ -1,11 +1,11 @@
import { CustomCellRendererProps } from "ag-grid-react";
import { cn, isTimeStampString } from "../../utils/utils";
import ArrayReader from "../arrayReaderComponent";
import DateReader from "../dateReaderComponent";
import NumberReader from "../numberReader";
import ObjectRender from "../objectRender";
import StringReader from "../stringReaderComponent";
import { Badge } from "../ui/badge";
import { cn, isTimeStampString } from "../../../../utils/utils";
import ArrayReader from "../../../arrayReaderComponent";
import DateReader from "../../../dateReaderComponent";
import NumberReader from "../../../numberReader";
import ObjectRender from "../../../objectRender";
import StringReader from "../../../stringReaderComponent";
import { Badge } from "../../../ui/badge";
export default function TableAutoCellRender({
value,
@ -43,7 +43,6 @@ export default function TableAutoCellRender({
} else {
return <StringReader string={value} />;
}
break;
case "number":
return <NumberReader number={value} />;
default:

266
src/frontend/src/components/tableComponent/components/tableNodeCellRender/index.tsx Normal file
View file

@ -0,0 +1,266 @@
import { CustomCellRendererProps } from "ag-grid-react";
import { cloneDeep } from "lodash";
import { useState } from "react";
import CodeAreaComponent from "../../../codeAreaComponent";
import DictComponent from "../../../dictComponent";
import Dropdown from "../../../dropdownComponent";
import FloatComponent from "../../../floatComponent";
import InputFileComponent from "../../../inputFileComponent";
import InputGlobalComponent from "../../../inputGlobalComponent";
import InputListComponent from "../../../inputListComponent";
import IntComponent from "../../../intComponent";
import KeypairListComponent from "../../../keypairListComponent";
import PromptAreaComponent from "../../../promptComponent";
import TextAreaComponent from "../../../textAreaComponent";
import ToggleShadComponent from "../../../toggleShadComponent";
import useFlowStore from "../../../../stores/flowStore";
import {
convertObjToArray,
convertValuesToNumbers,
hasDuplicateKeys,
scapedJSONStringfy,
} from "../../../../utils/reactflowUtils";
import { classNames } from "../../../../utils/utils";
export default function TableNodeCellRender({
node: { data },
value: {
value,
nodeClass,
handleOnNewValue: handleOnNewValueNode,
handleOnChangeDb,
},
}: CustomCellRendererProps) {
const handleOnNewValue = (newValue: any, name: string) => {
handleOnNewValueNode(newValue, name);
setTemplateData((old) => {
let newData = cloneDeep(old);
newData.value = newValue;
return newData;
});
setTemplateValue(newValue);
};
const [templateValue, setTemplateValue] = useState(value);
const [templateData, setTemplateData] = useState(data);
const [errorDuplicateKey, setErrorDuplicateKey] = useState(false);
const edges = useFlowStore((state) => state.edges);
const id = {
inputTypes: templateData.input_types,
type: templateData.type,
id: nodeClass.id,
fieldName: templateData.key,
};
const disabled =
edges.some(
(edge) =>
edge.targetHandle ===
scapedJSONStringfy(
templateData.proxy
? {
...id,
proxy: templateData.proxy,
}
: id,
),
) ?? false;
function getCellType() {
switch (templateData.type) {
case "str":
if (!templateData.options) {
return templateData?.list ? (
<InputListComponent
componentName={templateData.key ?? undefined}
editNode={true}
disabled={disabled}
value={
!templateValue || templateValue === "" ? [""] : templateValue
}
onChange={(value: string[]) => {
handleOnNewValue(value, templateData.key);
}}
/>
) : templateData.multiline ? (
<TextAreaComponent
id={"textarea-edit-" + templateData.name}
data-testid={"textarea-edit-" + templateData.name}
disabled={disabled}
editNode={true}
value={templateValue ?? ""}
onChange={(value: string | string[]) => {
handleOnNewValue(value, templateData.key);
}}
/>
) : (
<InputGlobalComponent
disabled={disabled}
editNode={true}
onChange={(value) => handleOnNewValue(value, templateData.key)}
setDb={(value) => {
handleOnChangeDb(value, templateData.key);
}}
name={templateData.key}
data={templateData}
/>
);
} else {
return (
<Dropdown
editNode={true}
options={templateData.options}
onSelect={(value) => handleOnNewValue(value, templateData.key)}
value={templateValue ?? "Choose an option"}
id={"dropdown-edit-" + templateData.name}
/>
);
}
case "NestedDict":
return (
<DictComponent
disabled={disabled}
editNode={true}
value={templateValue.toString() === "{}" ? {} : templateValue}
onChange={(newValue) => {
handleOnNewValue(newValue, templateData.key);
}}
id="editnode-div-dict-input"
/>
);
case "dict":
return (
<div
className={classNames(
"max-h-48 w-full overflow-auto custom-scroll",
templateValue?.length > 1 ? "my-3" : "",
)}
>
<KeypairListComponent
disabled={disabled}
editNode={true}
value={
templateValue?.length === 0 || !templateValue
? [{ "": "" }]
: convertObjToArray(templateValue, templateData.type)
}
duplicateKey={errorDuplicateKey}
onChange={(newValue) => {
const valueToNumbers = convertValuesToNumbers(newValue);
setErrorDuplicateKey(hasDuplicateKeys(valueToNumbers));
handleOnNewValue(valueToNumbers, templateData.key);
}}
isList={templateData.list ?? false}
/>
</div>
);
case "bool":
return (
<ToggleShadComponent
id={"toggle-edit-" + templateData.name}
disabled={disabled}
enabled={templateValue}
setEnabled={(isEnabled) => {
handleOnNewValue(isEnabled, templateData.key);
}}
size="small"
editNode={true}
/>
);
case "float":
return (
<FloatComponent
disabled={disabled}
editNode={true}
rangeSpec={templateData.rangeSpec}
value={templateValue ?? ""}
onChange={(value) => {
handleOnNewValue(value, templateData.key);
}}
/>
);
case "int":
return (
<IntComponent
rangeSpec={templateData.rangeSpec}
id={"edit-int-input-" + templateData.name}
disabled={disabled}
editNode={true}
value={templateValue ?? ""}
onChange={(value) => {
handleOnNewValue(value, templateData.key);
}}
/>
);
case "file":
return (
<InputFileComponent
editNode={true}
disabled={disabled}
value={templateValue ?? ""}
onChange={(value: string | string[]) => {
handleOnNewValue(value, templateData.key);
}}
fileTypes={templateData.fileTypes}
onFileChange={(filePath: string) => {
templateData.file_path = filePath;
}}
/>
);
case "prompt":
return (
<PromptAreaComponent
readonly={nodeClass.flow ? true : false}
field_name={templateData.key}
editNode={true}
disabled={disabled}
nodeClass={nodeClass}
setNodeClass={(value) => {
nodeClass = value;
}}
value={templateValue ?? ""}
onChange={(value: string | string[]) => {
handleOnNewValue(value, templateData.key);
}}
id={"prompt-area-edit-" + templateData.name}
data-testid={"modal-prompt-input-" + templateData.name}
/>
);
case "code":
return (
<CodeAreaComponent
readonly={nodeClass.flow && templateData.dynamic ? true : false}
dynamic={templateData.dynamic ?? false}
setNodeClass={(value) => {
nodeClass = value;
}}
nodeClass={nodeClass}
disabled={disabled}
editNode={true}
value={templateValue ?? ""}
onChange={(value: string | string[]) => {
handleOnNewValue(value, templateData.key);
}}
id={"code-area-edit" + templateData.name}
/>
);
case "Any":
return <>-</>;
default:
return String(templateValue);
}
}
return (
<div className="group flex h-full w-[300px] items-center justify-center py-2.5">
{getCellType()}
</div>
);
}

24
src/frontend/src/components/tableComponent/components/tableToggleCellRender/index.tsx Normal file
View file

@ -0,0 +1,24 @@
import { CustomCellRendererProps } from "ag-grid-react";
import { useState } from "react";
import ToggleShadComponent from "../../../toggleShadComponent";
export default function TableToggleCellRender({
value: { name, enabled, setEnabled },
}: CustomCellRendererProps) {
const [value, setValue] = useState(enabled);
return (
<div className="flex h-full items-center">
<ToggleShadComponent
id={"show" + name}
enabled={value}
setEnabled={(e) => {
setValue(e);
setEnabled(e);
}}
size="small"
editNode={true}
/>
</div>
);
}

9
src/frontend/src/components/tableComponent/components/tableTooltipRender/index.tsx Normal file
View file

@ -0,0 +1,9 @@
import { CustomTooltipProps } from "ag-grid-react";
export default function TableTooltipRender({ value }: CustomTooltipProps) {
return (
<div className="z-45 overflow-y-auto rounded-md border bg-popover px-3 py-1.5 text-sm text-popover-foreground shadow-md animate-in fade-in-50 data-[side=bottom]:slide-in-from-top-1 data-[side=left]:slide-in-from-right-1 data-[side=right]:slide-in-from-left-1 data-[side=top]:slide-in-from-bottom-1">
{value}
</div>
);
}

5
src/frontend/src/components/tableComponent/index.tsx
View file

@ -13,6 +13,7 @@ import ForwardedIconComponent from "../genericIconComponent";
import { Alert, AlertDescription, AlertTitle } from "../ui/alert";
import ResetColumns from "./components/ResetColumns";
import resetGrid from "./utils/reset-grid-columns";
import { useParams } from "react-router-dom";
interface TableComponentProps extends AgGridReactProps {
columnDefs: NonNullable<AgGridReactProps["columnDefs"]>;
@ -82,7 +83,7 @@ const TableComponent = forwardRef<
// @ts-ignore
realRef.current = params;
const updatedColumnDefs = makeLastColumnNonResizable([...colDef]);
params.api.setColumnDefs(updatedColumnDefs);
params.api.setGridOption("columnDefs", updatedColumnDefs);
initialColumnDefs.current = params.api.getColumnDefs();
if (props.onGridReady) props.onGridReady(params);
};
@ -91,7 +92,7 @@ const TableComponent = forwardRef<
const updatedColumnDefs = makeLastColumnNonResizable(
params.columnApi.getAllGridColumns().map((col) => col.getColDef()),
);
params.api.setColumnDefs(updatedColumnDefs);
params.api.setGridOption("columnDefs", updatedColumnDefs);
if (props.onColumnMoved) props.onColumnMoved(params);
};

28
src/frontend/src/components/toggleShadComponent/index.tsx
View file

@ -29,20 +29,18 @@ export default function ToggleShadComponent({
}
return (
<div className={disabled ? "pointer-events-none cursor-not-allowed " : ""}>
<Switch
id={id}
data-testid={id}
style={{
transform: `scaleX(${scaleX}) scaleY(${scaleY})`,
}}
disabled={disabled}
className=""
checked={enabled}
onCheckedChange={(isEnabled: boolean) => {
setEnabled(isEnabled);
}}
></Switch>
</div>
<Switch
id={id}
data-testid={id}
style={{
transform: `scaleX(${scaleX}) scaleY(${scaleY})`,
}}
disabled={disabled}
className=""
checked={enabled}
onCheckedChange={(isEnabled: boolean) => {
setEnabled(isEnabled);
}}
></Switch>
);
}

9
src/frontend/src/components/ui/refreshButton.tsx
View file

@ -31,11 +31,7 @@ function RefreshButton({
// icon class name should take into account the disabled state and the loading state
const disabledIconTextClass = disabled ? "text-muted-foreground" : "";
const iconClassName = cn(
"h-4 w-4",
isLoading ? "animate-spin" : "animate-wiggle",
disabledIconTextClass
);
const iconClassName = cn("h-4 w-4 animate-wiggle", disabledIconTextClass);
return (
<Button
@ -44,10 +40,11 @@ function RefreshButton({
className={classNames}
onClick={handleClick}
id={id}
loading={isLoading}
>
{button_text && <span className="mr-1">{button_text}</span>}
<IconComponent
name={isLoading ? "Loader2" : "RefreshCcw"}
name={"RefreshCcw"}
className={iconClassName}
id={id + "-icon"}
/>

2
src/frontend/src/constants/alerts_constants.tsx
View file

@ -23,6 +23,7 @@ export const USER_EDIT_ERROR_ALERT = "Error on edit user";
export const USER_ADD_ERROR_ALERT = "Error when adding new user";
export const SIGNIN_ERROR_ALERT = "Error signing in";
export const DEL_KEY_ERROR_ALERT = "Error on delete key";
export const DEL_KEY_ERROR_ALERT_PLURAL = "Error on delete keys";
export const UPLOAD_ERROR_ALERT = "Error uploading file";
export const WRONG_FILE_ERROR_ALERT = "Invalid file type";
export const UPLOAD_ALERT_LIST = "Please upload a JSON file";
@ -54,6 +55,7 @@ export const USER_DEL_SUCCESS_ALERT = "Success! User deleted!";
export const USER_EDIT_SUCCESS_ALERT = "Success! User edited!";
export const USER_ADD_SUCCESS_ALERT = "Success! New user added!";
export const DEL_KEY_SUCCESS_ALERT = "Success! Key deleted!";
export const DEL_KEY_SUCCESS_ALERT_PLURAL = "Success! Keys deleted!";
export const FLOW_BUILD_SUCCESS_ALERT = `Flow built successfully`;
export const SAVE_SUCCESS_ALERT = "Changes saved successfully!";

9
src/frontend/src/constants/constants.ts
View file

@ -613,11 +613,8 @@ export const FETCH_ERROR_DESCRIPION =
export const SIGN_UP_SUCCESS = "Account created! Await admin activation. ";
export const API_PAGE_PARAGRAPH_1 =
"Your secret API keys are listed below. Please note that we do not display your secret API keys again after you generate them.";
export const API_PAGE_PARAGRAPH_2 =
"Do not share your API key with others, or expose it in the browser or other client-side code.";
export const API_PAGE_PARAGRAPH =
"Your secret API keys are listed below. Do not share your API key with others, or expose it in the browser or other client-side code.";
export const API_PAGE_USER_KEYS =
"This user does not have any keys assigned at the moment.";
@ -671,7 +668,7 @@ export const ZERO_NOTIFICATIONS = "No new notifications";
export const SUCCESS_BUILD = "Built sucessfully ✨";
export const ALERT_SAVE_WITH_API =
"Caution: Uncheck this box only removes API keys from fields specifically designated for API keys.";
"Caution: Unchecking this box only removes API keys from fields specifically designated for API keys.";
export const SAVE_WITH_API_CHECKBOX = "Save with my API keys";
export const EDIT_TEXT_MODAL_TITLE = "Edit Text";

6
src/frontend/src/icons/BotMessageSquare/BotMessageSquare.jsx
View file

@ -6,9 +6,9 @@ const SvgBotMessageSquare = (props) => (
viewBox="0 0 24 24"
fill="none"
stroke="currentColor"
stroke-width="2"
stroke-linecap="round"
stroke-linejoin="round"
strokeWidth="2"
strokeLinecap="round"
strokeLinejoin="round"
className="lucide lucide-bot-message-square"
{...props}
>

8
src/frontend/src/modals/IOModal/components/chatView/index.tsx
View file

@ -177,16 +177,12 @@ export default function ChatView({
className="flex gap-1"
size="none"
variant="none"
disabled={lockChat}
onClick={() => handleSelectChange("builds")}
>
<IconComponent
name="Eraser"
className={classNames(
"h-5 w-5",
lockChat
? "animate-pulse text-primary"
: "text-primary hover:text-gray-600"
)}
className={classNames("h-5 w-5 text-primary")}
aria-hidden="true"
/>
</Button>

1
src/frontend/src/modals/apiModal/views/index.tsx
View file

@ -65,7 +65,6 @@ const ApiModal = forwardRef(
);
const pythonCode = getPythonCode(flow?.name, tweak);
const widgetCode = getWidgetCode(flow?.id, flow?.name, autoLogin);
console.log("flow", flow);
const includeWebhook = flow.webhook;
const tweaksCode = buildTweaks(flow);
const codesArray = [

23
src/frontend/src/modals/baseModal/helpers/switch-case-size.ts
View file

@ -4,7 +4,7 @@ export const switchCaseModalSize = (size: string) => {
switch (size) {
case "x-small":
minWidth = "min-w-[20vw]";
height = "h-full";
height = "";
break;
case "smaller":
minWidth = "min-w-[40vw]";
@ -12,7 +12,7 @@ export const switchCaseModalSize = (size: string) => {
break;
case "smaller-h-full":
minWidth = "min-w-[40vw]";
height = "h-full";
height = "";
break;
case "small":
minWidth = "min-w-[40vw]";
@ -20,16 +20,19 @@ export const switchCaseModalSize = (size: string) => {
break;
case "small-h-full":
minWidth = "min-w-[40vw]";
height = "h-full";
height = "";
break;
case "medium":
minWidth = "min-w-[60vw]";
height = "h-[60vh]";
break;
case "medium-tall":
minWidth = "min-w-[60vw]";
height = "h-[90vh]";
break;
case "medium-h-full":
minWidth = "min-w-[60vw]";
height = "h-full";
height = "";
break;
case "large":
minWidth = "min-w-[85vw]";
@ -41,26 +44,26 @@ export const switchCaseModalSize = (size: string) => {
break;
case "large-thin":
minWidth = "min-w-[65vw]";
height = "h-[80vh]";
height = "h-[90vh]";
break;
case "md-thin":
minWidth = "min-w-[85vw]";
height = "h-[70vh]";
height = "h-[90vh]";
break;
case "sm-thin":
minWidth = "min-w-[65vw]";
height = "h-[70vh]";
height = "h-[90vh]";
break;
case "large-h-full":
minWidth = "min-w-[80vw]";
height = "h-full";
height = "";
break;
default:
minWidth = "min-w-[80vw]";
height = "h-[80vh]";
height = "h-[90vh]";
break;
}
return { minWidth, height };

56
src/frontend/src/modals/baseModal/index.tsx
View file

@ -20,6 +20,7 @@ import { Button } from "../../components/ui/button";
import { modalHeaderType } from "../../types/components";
import { cn } from "../../utils/utils";
import { switchCaseModalSize } from "./helpers/switch-case-size";
import * as Form from "@radix-ui/react-form";
type ContentProps = { children: ReactNode };
type HeaderProps = { children: ReactNode; description: string };
@ -52,10 +53,10 @@ const Trigger: React.FC<TriggerProps> = ({
);
};
const Header: React.FC<{ children: ReactNode; description: string | null }> = ({
children,
description,
}: modalHeaderType): JSX.Element => {
const Header: React.FC<{
children: ReactNode;
description: string | JSX.Element | null;
}> = ({ children, description }: modalHeaderType): JSX.Element => {
return (
<DialogHeader>
<DialogTitle className="flex items-center">{children}</DialogTitle>
@ -102,7 +103,7 @@ interface BaseModalProps {
React.ReactElement<ContentProps>,
React.ReactElement<HeaderProps>,
React.ReactElement<TriggerProps>?,
React.ReactElement<FooterProps>?
React.ReactElement<FooterProps>?,
];
open?: boolean;
setOpen?: (open: boolean) => void;
@ -111,6 +112,7 @@ interface BaseModalProps {
| "smaller"
| "small"
| "medium"
| "medium-tall"
| "large"
| "three-cards"
| "large-thin"
@ -136,16 +138,16 @@ function BaseModal({
onSubmit,
}: 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, height } = switchCaseModalSize(size);
@ -162,53 +164,63 @@ function BaseModal({
{type === "modal" ? (
<Modal open={open} onOpenChange={setOpen}>
{triggerChild}
<ModalContent className={cn(minWidth, "duration-300")}>
<div className="truncate-doubleline word-break-break-word">
<ModalContent
className={cn(minWidth, height, "flex flex-col duration-300")}
>
<div className="flex-shrink-0 truncate-doubleline word-break-break-word">
{headerChild}
</div>
<div
className={`flex flex-col ${height} w-full transition-all duration-300`}
className={`flex w-full flex-1 flex-col transition-all duration-300`}
>
{ContentChild}
</div>
{ContentFooter && (
<div className="flex flex-row-reverse">{ContentFooter}</div>
<div className="flex flex-shrink-0 flex-row-reverse">
{ContentFooter}
</div>
)}
</ModalContent>
</Modal>
) : (
<Dialog open={open} onOpenChange={setOpen}>
{triggerChild}
<DialogContent className={cn(minWidth, "duration-300")}>
<div className="truncate-doubleline word-break-break-word">
<DialogContent
className={cn(minWidth, height, "flex flex-col duration-300")}
>
<div className="flex-shrink-0 truncate-doubleline word-break-break-word">
{headerChild}
</div>
{onSubmit ? (
<form
<Form.Root
onSubmit={(event) => {
event.preventDefault();
onSubmit();
}}
className="flex flex-col gap-6"
className="flex min-h-0 flex-1 flex-col gap-6"
>
<div
className={`flex flex-col ${height} w-full transition-all duration-300`}
className={`flex w-full flex-1 flex-col overflow-hidden transition-all duration-300`}
>
{ContentChild}
</div>
{ContentFooter && (
<div className="flex flex-row-reverse">{ContentFooter}</div>
<div className="flex flex-shrink-0 flex-row-reverse">
{ContentFooter}
</div>
)}
</form>
</Form.Root>
) : (
<>
<div
className={`flex flex-col ${height} w-full transition-all duration-300`}
className={`flex min-h-0 w-full flex-1 flex-col transition-all duration-300`}
>
{ContentChild}
</div>
{ContentFooter && (
<div className="flex flex-row-reverse">{ContentFooter}</div>
<div className="flex flex-shrink-0 flex-row-reverse">
{ContentFooter}
</div>
)}
</>
)}

91
src/frontend/src/modals/editNodeModal/hooks/use-column-defs.tsx Normal file
View file

@ -0,0 +1,91 @@
import { ColDef, ValueGetterParams } from "ag-grid-community";
import { useMemo } from "react";
import TableAutoCellRender from "../../../components/tableComponent/components/tableAutoCellRender";
import TableNodeCellRender from "../../../components/tableComponent/components/tableNodeCellRender";
import TableToggleCellRender from "../../../components/tableComponent/components/tableToggleCellRender";
import TableTooltipRender from "../../../components/tableComponent/components/tableTooltipRender";
const useColumnDefs = (
myData: any,
handleOnNewValue: (newValue: any, name: string) => void,
changeAdvanced: (n: string) => void,
open: boolean,
) => {
const columnDefs: ColDef[] = useMemo(
() => [
{
headerName: "Name",
field: "display_name",
valueGetter: (params) => {
const templateParam = params.data;
return (
(templateParam.display_name
? templateParam.display_name
: templateParam.name) ?? params.data.key
);
},
tooltipField: "display_name",
tooltipComponent: TableTooltipRender,
wrapText: true,
autoHeight: true,
flex: 1,
resizable: false,
cellClass: "no-border",
},
{
headerName: "Description",
field: "info",
tooltipField: "info",
tooltipComponent: TableTooltipRender,
wrapText: true,
autoHeight: true,
flex: 2,
resizable: false,
cellClass: "no-border",
},
{
headerName: "Value",
field: "value",
cellRenderer: TableNodeCellRender,
valueGetter: (params: ValueGetterParams) => {
return {
value: params.data.value,
nodeClass: myData.node,
handleOnNewValue: handleOnNewValue,
handleOnChangeDb: (value, key) => {
myData.node!.template[key].load_from_db = value;
},
};
},
minWidth: 330,
autoHeight: true,
flex: 1,
resizable: false,
cellClass: "no-border",
},
{
headerName: "Show",
field: "advanced",
cellRenderer: TableToggleCellRender,
valueGetter: (params: ValueGetterParams) => {
return {
name: params.data.name,
enabled: !params.data.advanced,
setEnabled: () => {
changeAdvanced(params.data.key);
},
};
},
editable: false,
maxWidth: 80,
resizable: false,
cellClass: "no-border",
},
],
[open, myData],
);
return columnDefs;
};
export default useColumnDefs;

37
src/frontend/src/modals/editNodeModal/hooks/use-row-data.tsx Normal file
View file

@ -0,0 +1,37 @@
import { useMemo } from "react";
import { LANGFLOW_SUPPORTED_TYPES } from "../../../constants/constants";
import { TemplateVariableType } from "../../../types/api";
const useRowData = (myData, open) => {
const rowData = useMemo(() => {
return Object.keys(myData.node!.template)
.filter((key: string) => {
const templateParam = myData.node!.template[
key
] as TemplateVariableType;
return (
key.charAt(0) !== "_" &&
templateParam.show &&
LANGFLOW_SUPPORTED_TYPES.has(templateParam.type) &&
!(
(key === "code" && templateParam.type === "code") ||
(key.includes("code") && templateParam.proxy)
)
);
})
.map((key: string) => {
const templateParam = myData.node!.template[
key
] as TemplateVariableType;
return {
...templateParam,
key: key,
id: key,
};
});
}, [open, myData]);
return rowData;
};
export default useRowData;

628
src/frontend/src/modals/editNodeModal/index.tsx
View file

@ -1,43 +1,13 @@
import { cloneDeep } from "lodash";
import { forwardRef, useEffect, useState } from "react";
import CodeAreaComponent from "../../components/codeAreaComponent";
import DictComponent from "../../components/dictComponent";
import Dropdown from "../../components/dropdownComponent";
import FloatComponent from "../../components/floatComponent";
import { ColDef, GridApi } from "ag-grid-community";
import { forwardRef, useEffect, useRef, useState } from "react";
import IconComponent from "../../components/genericIconComponent";
import InputFileComponent from "../../components/inputFileComponent";
import InputGlobalComponent from "../../components/inputGlobalComponent";
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 TableComponent from "../../components/tableComponent";
import { Badge } from "../../components/ui/badge";
import {
Table,
TableBody,
TableCell,
TableHead,
TableHeader,
TableRow,
} from "../../components/ui/table";
import {
LANGFLOW_SUPPORTED_TYPES,
limitScrollFieldsModal,
} from "../../constants/constants";
import { Case } from "../../shared/components/caseComponent";
import useFlowStore from "../../stores/flowStore";
import { NodeDataType } from "../../types/flow";
import {
convertObjToArray,
convertValuesToNumbers,
hasDuplicateKeys,
scapedJSONStringfy,
} from "../../utils/reactflowUtils";
import { classNames } from "../../utils/utils";
import BaseModal from "../baseModal";
import useColumnDefs from "./hooks/use-column-defs";
import useRowData from "./hooks/use-row-data";
const EditNodeModal = forwardRef(
(
@ -54,59 +24,49 @@ const EditNodeModal = forwardRef(
},
ref
) => {
const nodes = useFlowStore((state) => state.nodes);
const myData = useRef(data);
const dataFromStore = nodes.find((node) => node.id === node.id)?.data;
const [myData, setMyData] = useState(dataFromStore ?? data);
const edges = useFlowStore((state) => state.edges);
const setNode = useFlowStore((state) => state.setNode);
function changeAdvanced(n) {
setMyData((old) => {
let newData = cloneDeep(old);
newData.node!.template[n].advanced =
!newData.node!.template[n].advanced;
return newData;
});
myData.current.node!.template[n].advanced =
!myData.current.node!.template[n]?.advanced;
}
const handleOnNewValue = (newValue: any, name) => {
setMyData((old) => {
let newData = cloneDeep(old);
newData.node!.template[name].value = newValue;
return newData;
});
myData.current.node!.template[name].value = newValue;
};
const rowData = useRowData(data, open);
const columnDefs: ColDef[] = useColumnDefs(
data,
handleOnNewValue,
changeAdvanced,
open
);
const [gridApi, setGridApi] = useState<GridApi | null>(null);
useEffect(() => {
if (open) {
setMyData(data); // reset data to what it is on node when opening modal
if (gridApi && open) {
myData.current = data;
gridApi.refreshCells();
}
}, [open]);
const [errorDuplicateKey, setErrorDuplicateKey] = useState(false);
const type = (templateParam) => {
return myData.node?.template[templateParam].type;
};
}, [gridApi, open]);
return (
<BaseModal
key={data.id}
size="large-h-full"
size="medium-tall"
open={open}
setOpen={setOpen}
onChangeOpenModal={(open) => {
setMyData(data);
}}
onSubmit={() => {
setNode(data.id, (old) => ({
...old,
data: {
...old.data,
node: myData.node,
node: myData.current.node,
},
}));
setOpen(false);
@ -115,526 +75,30 @@ const EditNodeModal = forwardRef(
<BaseModal.Trigger>
<></>
</BaseModal.Trigger>
<BaseModal.Header description={myData.node?.description!}>
<span className="pr-2">{myData.type}</span>
<Badge variant="secondary">ID: {myData.id}</Badge>
<BaseModal.Header description={data.node?.description!}>
<span className="pr-2">{data.type}</span>
<Badge variant="secondary">ID: {data.id}</Badge>
</BaseModal.Header>
<BaseModal.Content>
<div className="flex pb-2">
<IconComponent
name="Variable"
className="edit-node-modal-variable "
/>
<span className="edit-node-modal-span">Parameters</span>
</div>
<div className="flex h-full flex-col">
<div className="flex pb-2">
<IconComponent
name="Variable"
className="edit-node-modal-variable "
/>
<span className="edit-node-modal-span">Parameters</span>
</div>
<div className="edit-node-modal-arrangement">
<div
className={classNames(
"edit-node-modal-box",
nodeLength > limitScrollFieldsModal
? "overflow-scroll overflow-x-hidden custom-scroll"
: ""
)}
>
<div className="h-full">
{nodeLength > 0 && (
<div className="edit-node-modal-table">
<Table className="table-fixed bg-muted outline-1">
<TableHeader className="edit-node-modal-table-header">
<TableRow className="">
<TableHead className="h-7 text-center">PARAM</TableHead>
<TableHead className="h-7 text-center">DESC</TableHead>
<TableHead className="h-7 p-0 text-center">
VALUE
</TableHead>
<TableHead className="h-7 text-center">SHOW</TableHead>
</TableRow>
</TableHeader>
<TableBody className="p-0">
{Object.keys(myData.node!.template)
.filter(
(templateParam) =>
templateParam.charAt(0) !== "_" &&
myData.node?.template[templateParam].show &&
LANGFLOW_SUPPORTED_TYPES.has(
myData.node!.template[templateParam].type
)
)
.map((templateParam, index) => {
let id = {
inputTypes:
myData.node!.template[templateParam].input_types,
type: myData.node!.template[templateParam].type,
id: myData.id,
fieldName: templateParam,
};
let disabled =
edges.some(
(edge) =>
edge.targetHandle ===
scapedJSONStringfy(
myData.node!.template[templateParam].proxy
? {
...id,
proxy:
myData.node?.template[templateParam]
.proxy,
}
: id
)
) ?? false;
return (
<TableRow
key={index}
className={
"h-10 " +
((templateParam === "code" &&
type(templateParam) === "code") ||
(templateParam.includes("code") &&
myData.node?.template[templateParam].proxy)
? " hidden "
: "")
}
>
<TableCell className="truncate p-0 text-center text-sm text-foreground sm:px-3">
<ShadTooltip
styleClasses="z-50"
content={
myData.node?.template[templateParam].proxy
? myData.node?.template[templateParam]
.proxy?.id
: myData.node?.template[templateParam]
.display_name
? myData.node!.template[templateParam]
.display_name
: myData.node?.template[templateParam]
.name
}
>
<span>
{myData.node?.template[templateParam]
.display_name
? myData.node!.template[templateParam]
.display_name
: myData.node?.template[templateParam]
.name}
</span>
</ShadTooltip>
</TableCell>
<TableCell className="truncate p-0 text-center text-sm text-foreground sm:px-3">
<ShadTooltip
styleClasses="z-50"
content={
data.node?.template[templateParam]?.info ??
null
}
>
<span>
{data.node?.template[templateParam]?.info ??
""}
</span>
</ShadTooltip>
</TableCell>
<TableCell className="w-[300px] p-0 text-center text-xs text-foreground ">
<Case
condition={
type(templateParam) === "str" &&
!myData.node!.template[templateParam]
.options
}
>
<div className="mx-auto">
{myData.node!.template[templateParam]
?.list ? (
<InputListComponent
componentName={templateParam}
editNode={true}
disabled={disabled}
value={
!myData.node!.template[templateParam]
.value ||
myData.node!.template[templateParam]
.value === ""
? [""]
: myData.node!.template[
templateParam
].value
}
onChange={(value: string[]) => {
handleOnNewValue(
value,
templateParam
);
}}
/>
) : myData.node!.template[templateParam]
.multiline ? (
<TextAreaComponent
id={
"textarea-edit-" +
myData.node!.template[templateParam]
.name
}
data-testid={
"textarea-edit-" +
myData.node!.template[templateParam]
.name
}
disabled={disabled}
editNode={true}
value={
myData.node!.template[templateParam]
.value ?? ""
}
onChange={(
value: string | string[]
) => {
handleOnNewValue(
value,
templateParam
);
}}
/>
) : (
<InputGlobalComponent
disabled={disabled}
editNode={true}
onChange={(value) =>
handleOnNewValue(value, templateParam)
}
setDb={(value) => {
setMyData((oldData) => {
let newData = cloneDeep(oldData);
newData.node!.template[
templateParam
].load_from_db = value;
return newData;
});
}}
name={templateParam}
data={myData}
/>
)}
</div>
</Case>
<Case
condition={
type(templateParam) === "NestedDict"
}
>
<div className=" w-full">
<DictComponent
disabled={disabled}
editNode={true}
value={
myData.node!.template[
templateParam
]?.value?.toString() === "{}"
? {}
: myData.node!.template[templateParam]
.value
}
onChange={(newValue) => {
myData.node!.template[
templateParam
].value = newValue;
handleOnNewValue(
newValue,
templateParam
);
}}
id="editnode-div-dict-input"
/>
</div>
</Case>
<Case
condition={type(templateParam) === "dict"}
>
<div
className={classNames(
"max-h-48 w-full overflow-auto custom-scroll",
myData.node!.template[templateParam].value
?.length > 1
? "my-3"
: ""
)}
>
<KeypairListComponent
disabled={disabled}
editNode={true}
value={
myData.node!.template[templateParam]
.value?.length === 0 ||
!myData.node!.template[templateParam]
.value
? [{ "": "" }]
: convertObjToArray(
myData.node!.template[
templateParam
].value,
type(templateParam)!
)
}
duplicateKey={errorDuplicateKey}
onChange={(newValue) => {
const valueToNumbers =
convertValuesToNumbers(newValue);
myData.node!.template[
templateParam
].value = valueToNumbers;
setErrorDuplicateKey(
hasDuplicateKeys(valueToNumbers)
);
handleOnNewValue(
valueToNumbers,
templateParam
);
}}
isList={
data.node?.template[templateParam]
?.list ?? false
}
/>
</div>
</Case>
<Case
condition={type(templateParam) === "bool"}
>
<div className="ml-auto">
{" "}
<ToggleShadComponent
id={
"toggle-edit-" +
myData.node!.template[templateParam]
.name
}
disabled={disabled}
enabled={
myData.node!.template[templateParam]
.value
}
setEnabled={(isEnabled) => {
handleOnNewValue(
isEnabled,
templateParam
);
}}
size="small"
editNode={true}
/>
</div>
</Case>
<Case
condition={type(templateParam) === "float"}
>
<div className="mx-auto">
<FloatComponent
disabled={disabled}
editNode={true}
rangeSpec={
myData.node!.template[templateParam]
.rangeSpec
}
value={
myData.node!.template[templateParam]
.value ?? ""
}
onChange={(value) => {
handleOnNewValue(value, templateParam);
}}
/>
</div>
</Case>
<Case
condition={
type(templateParam) === "str" &&
myData.node!.template[templateParam].options
}
>
<div className="mx-auto">
<Dropdown
editNode={true}
options={
myData.node!.template[templateParam]
.options
}
onSelect={(value) =>
handleOnNewValue(value, templateParam)
}
value={
myData.node!.template[templateParam]
.value ?? "Choose an option"
}
id={
"dropdown-edit-" +
myData.node!.template[templateParam]
.name
}
></Dropdown>
</div>
</Case>
<Case condition={type(templateParam) === "int"}>
<div className="mx-auto">
<IntComponent
rangeSpec={
data.node?.template[templateParam]
?.rangeSpec
}
id={
"edit-int-input-" +
myData.node!.template[templateParam]
.name
}
disabled={disabled}
editNode={true}
value={
myData.node!.template[templateParam]
.value ?? ""
}
onChange={(value) => {
handleOnNewValue(value, templateParam);
}}
/>
</div>
</Case>
<Case
condition={type(templateParam) === "file"}
>
<div className="mx-auto">
<InputFileComponent
editNode={true}
disabled={disabled}
value={
myData.node!.template[templateParam]
.value ?? ""
}
onChange={(value: string | string[]) => {
handleOnNewValue(value, templateParam);
}}
fileTypes={
myData.node!.template[templateParam]
.fileTypes
}
onFileChange={(filePath: string) => {
data.node!.template[
templateParam
].file_path = filePath;
}}
></InputFileComponent>
</div>
</Case>
<Case
condition={type(templateParam) === "prompt"}
>
<div className="mx-auto">
<PromptAreaComponent
readonly={
myData.node?.flow ? true : false
}
field_name={templateParam}
editNode={true}
disabled={disabled}
nodeClass={myData.node}
setNodeClass={(nodeClass) => {
myData.node = nodeClass;
}}
value={
myData.node!.template[templateParam]
.value ?? ""
}
onChange={(value: string | string[]) => {
handleOnNewValue(value, templateParam);
}}
id={
"prompt-area-edit-" +
myData.node!.template[templateParam]
.name
}
data-testid={
"modal-prompt-input-" +
myData.node!.template[templateParam]
.name
}
/>
</div>
</Case>
<Case
condition={type(templateParam) === "code"}
>
<div className="mx-auto">
<CodeAreaComponent
readonly={
myData.node?.flow &&
myData.node!.template[templateParam]
.dynamic
? true
: false
}
dynamic={
data.node!.template[templateParam]
?.dynamic ?? false
}
setNodeClass={(nodeClass) => {
data.node = nodeClass;
}}
nodeClass={data.node}
disabled={disabled}
editNode={true}
value={
myData.node!.template[templateParam]
.value ?? ""
}
onChange={(value: string | string[]) => {
handleOnNewValue(value, templateParam);
}}
id={
"code-area-edit" +
myData.node!.template[templateParam]
.name
}
/>
</div>
</Case>
<Case condition={type(templateParam) === "Any"}>
<>-</>
</Case>
</TableCell>
<TableCell className="p-0 text-right">
<div className="items-center text-center">
<ToggleShadComponent
id={
"show" +
myData.node?.template[templateParam].name
}
enabled={
!myData.node?.template[templateParam]
.advanced
}
setEnabled={(e) => {
changeAdvanced(templateParam);
}}
disabled={disabled}
size="small"
editNode={true}
/>
</div>
</TableCell>
</TableRow>
);
})}
</TableBody>
</Table>
</div>
<TableComponent
onGridReady={(params) => {
setGridApi(params.api);
}}
tooltipShowDelay={0.5}
columnDefs={columnDefs}
rowData={rowData}
/>
)}
</div>
</div>

8
src/frontend/src/modals/exportModal/index.tsx
View file

@ -45,7 +45,7 @@ const ExportModal = forwardRef(
is_component: false,
},
name!,
description
description,
);
setNoticeData({
title: API_WARNING_NOTICE_ALERT,
@ -61,7 +61,7 @@ const ExportModal = forwardRef(
is_component: false,
}),
name!,
description
description,
);
setOpen(false);
}}
@ -94,7 +94,7 @@ const ExportModal = forwardRef(
{SAVE_WITH_API_CHECKBOX}
</label>
</div>
<span className=" text-xs text-destructive ">
<span className="mt-1 text-xs text-destructive ">
{ALERT_SAVE_WITH_API}
</span>
</BaseModal.Content>
@ -102,6 +102,6 @@ const ExportModal = forwardRef(
<BaseModal.Footer submit={{ label: "Download Flow" }} />
</BaseModal>
);
}
},
);
export default ExportModal;

170
src/frontend/src/modals/secretKeyModal/index.tsx
View file

@ -11,15 +11,10 @@ import { nodeIconsLucide } from "../../utils/styleUtils";
import BaseModal from "../baseModal";
export default function SecretKeyModal({
title,
cancelText,
confirmationText,
children,
icon,
data,
onCloseModal,
}: ApiKeyType) {
const Icon: any = nodeIconsLucide[icon];
const [open, setOpen] = useState(false);
const [apiKeyName, setApiKeyName] = useState(data?.apikeyname ?? "");
const [apiKeyValue, setApiKeyValue] = useState("");
@ -66,118 +61,91 @@ export default function SecretKeyModal({
.catch((err) => {});
}
function handleSubmitForm() {
if (!renderKey) {
setRenderKey(true);
handleAddNewKey();
} else {
setOpen(false);
}
}
return (
<BaseModal size="small-h-full" open={open} setOpen={setOpen}>
<BaseModal
onSubmit={handleSubmitForm}
size="small-h-full"
open={open}
setOpen={setOpen}
>
<BaseModal.Trigger>{children}</BaseModal.Trigger>
<BaseModal.Header description={""}>
<span className="pr-2">{title}</span>
<Icon
name="icon"
className="h-6 w-6 pl-1 text-foreground"
aria-hidden="true"
/>
</BaseModal.Header>
<BaseModal.Content>
{renderKey === true && (
<>
<span className="text-xs">
<BaseModal.Header
description={
renderKey ? (
<>
{" "}
Please save this secret key somewhere safe and accessible. For
security reasons,{" "}
<strong>you won't be able to view it again</strong> through your
account. If you lose this secret key, you'll need to generate a
new one.
</span>
<div className="flex pt-3">
</>
) : (
<>Create a secret API Key to use Langflow API.</>
)
}
>
<span className="pr-2">Create API Key</span>
<IconComponent
name="Key"
className="h-6 w-6 pl-1 text-foreground"
aria-hidden="true"
/>
</BaseModal.Header>
<BaseModal.Content>
{renderKey ? (
<>
<div className="flex items-center gap-3">
<div className="w-full">
<Input ref={inputRef} readOnly={true} value={apiKeyValue} />
</div>
<div>
<Button
className="ml-3"
onClick={() => {
handleCopyClick();
}}
>
{textCopied ? (
<IconComponent name="Copy" className="h-4 w-4" />
) : (
<IconComponent name="Check" className="h-4 w-4" />
)}
</Button>
</div>
<Button
onClick={() => {
handleCopyClick();
}}
variant="none"
size="none"
>
{textCopied ? (
<IconComponent name="Copy" className="h-4 w-4" />
) : (
<IconComponent name="Check" className="h-4 w-4" />
)}
</Button>
</div>
</>
)}
<Form.Root
onSubmit={(event) => {
setRenderKey(true);
handleAddNewKey();
event.preventDefault();
}}
>
{renderKey === false && (
<div className="grid gap-5">
<Form.Field name="username">
<div
style={{
display: "flex",
alignItems: "baseline",
justifyContent: "space-between",
) : (
<Form.Field name="apikey">
<div className="flex items-center justify-between gap-2">
<Form.Control asChild>
<Input
//fake api key
id="primary-input"
value={apiKeyName}
ref={inputRef}
onChange={({ target: { value } }) => {
setApiKeyName(value);
}}
>
<Form.Label className="data-[invalid]:label-invalid">
Name (optional){" "}
</Form.Label>
</div>
<Form.Control asChild>
<input
onChange={({ target: { value } }) => {
setApiKeyName(value);
}}
value={apiKeyName}
className="primary-input"
placeholder="My key name"
/>
</Form.Control>
</Form.Field>
placeholder="Insert a name for your API Key"
/>
</Form.Control>
</div>
)}
{renderKey === false && (
<div className="float-right">
<Button
type="button"
className="mr-3"
variant="outline"
onClick={() => {
setOpen(false);
}}
>
{cancelText}
</Button>
<Form.Submit asChild>
<Button className="mt-8">{confirmationText}</Button>
</Form.Submit>
</div>
)}
{renderKey === true && (
<div className="float-right">
<Button
onClick={() => {
setOpen(false);
setRenderKey(false);
}}
className="mt-8"
>
Done
</Button>
</div>
)}
</Form.Root>
</Form.Field>
)}
</BaseModal.Content>
<BaseModal.Footer
submit={{ label: renderKey ? "Done" : "Create Secret Key" }}
/>
</BaseModal>
);
}

291
src/frontend/src/pages/ApiKeysPage/index.tsx
View file

@ -1,291 +0,0 @@
import { useContext, useEffect, useRef, useState } from "react";
import IconComponent from "../../components/genericIconComponent";
import ShadTooltip from "../../components/shadTooltipComponent";
import { Button } from "../../components/ui/button";
import {
Table,
TableBody,
TableCell,
TableHead,
TableHeader,
TableRow,
} 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 moment from "moment";
import Header from "../../components/headerComponent";
import {
DEL_KEY_ERROR_ALERT,
DEL_KEY_SUCCESS_ALERT,
} from "../../constants/alerts_constants";
import {
API_PAGE_PARAGRAPH_1,
API_PAGE_PARAGRAPH_2,
API_PAGE_USER_KEYS,
LAST_USED_SPAN_1,
LAST_USED_SPAN_2,
} from "../../constants/constants";
import useAlertStore from "../../stores/alertStore";
import { ApiKey } from "../../types/components";
export default function ApiKeysPage() {
const [loadingKeys, setLoadingKeys] = useState(true);
const setSuccessData = useAlertStore((state) => state.setSuccessData);
const setErrorData = useAlertStore((state) => state.setErrorData);
const { userData } = useContext(AuthContext);
const [userId, setUserId] = useState("");
const keysList = useRef([]);
useEffect(() => {
getKeys();
}, [userData]);
function getKeys() {
setLoadingKeys(true);
if (userData) {
getApiKey()
.then((keys: [ApiKey]) => {
keysList.current = keys["api_keys"];
setUserId(keys["user_id"]);
setLoadingKeys(false);
})
.catch((error) => {
setLoadingKeys(false);
});
}
}
function resetFilter() {
getKeys();
}
function handleDeleteKey(keys) {
deleteApiKey(keys)
.then((res) => {
resetFilter();
setSuccessData({
title: DEL_KEY_SUCCESS_ALERT,
});
})
.catch((error) => {
setErrorData({
title: DEL_KEY_ERROR_ALERT,
list: [error["response"]["data"]["detail"]],
});
});
}
function lastUsedMessage() {
return (
<div className="text-xs">
<span>
{LAST_USED_SPAN_1}
<br></br> {LAST_USED_SPAN_2}
</span>
</div>
);
}
return (
<>
<Header></Header>
{userData && (
<div className="main-page-panel">
<div className="m-auto flex h-full flex-row justify-center">
<div className="basis-5/6">
<div className="m-auto flex h-full flex-col space-y-8 p-8 ">
<div className="flex items-center justify-between space-y-2">
<div>
<h2 className="text-2xl font-bold tracking-tight">
API keys
</h2>
<p className="text-muted-foreground">
{API_PAGE_PARAGRAPH_1}
<br />
{API_PAGE_PARAGRAPH_2}
</p>
</div>
<div className="flex items-center space-x-2"></div>
</div>
{keysList.current &&
keysList.current.length === 0 &&
!loadingKeys && (
<>
<div className="flex items-center justify-between">
<h2>{API_PAGE_USER_KEYS}</h2>
</div>
</>
)}
<>
{loadingKeys && (
<div>
<strong>Loading...</strong>
</div>
)}
<div
className={
"max-h-[15rem] overflow-scroll overflow-x-hidden rounded-md border-2 bg-muted custom-scroll" +
(loadingKeys ? " border-0" : "")
}
>
{keysList.current &&
keysList.current.length > 0 &&
!loadingKeys && (
<Table className={"table-fixed bg-muted outline-1"}>
<TableHeader
className={
loadingKeys
? "hidden"
: "table-fixed bg-muted outline-1"
}
>
<TableRow>
<TableHead className="h-10">Name</TableHead>
<TableHead className="h-10">Key</TableHead>
<TableHead className="h-10">Created</TableHead>
<TableHead className="flex h-10 items-center">
Last Used
<ShadTooltip
side="top"
content={lastUsedMessage()}
>
<div>
<IconComponent
name="Info"
className="ml-1 h-3 w-3"
/>
</div>
</ShadTooltip>
</TableHead>
<TableHead className="h-10">Total Uses</TableHead>
<TableHead className="h-10 w-[100px] text-right"></TableHead>
</TableRow>
</TableHeader>
{!loadingKeys && (
<TableBody>
{keysList.current.map(
(api_keys: ApiKey, index: number) => (
<TableRow key={index}>
<TableCell className="truncate py-2">
<ShadTooltip content={api_keys.name}>
<span className="cursor-default">
{api_keys.name ? api_keys.name : "-"}
</span>
</ShadTooltip>
</TableCell>
<TableCell className="truncate py-2">
<span className="cursor-default">
{api_keys.api_key}
</span>
</TableCell>
<TableCell className="truncate py-2 ">
<ShadTooltip
side="top"
content={moment(
api_keys.created_at
).format("YYYY-MM-DD HH:mm")}
>
<div>
{moment(api_keys.created_at).format(
"YYYY-MM-DD HH:mm"
)}
</div>
</ShadTooltip>
</TableCell>
<TableCell className="truncate py-2">
<ShadTooltip
side="top"
content={
moment(api_keys.last_used_at).format(
"YYYY-MM-DD HH:mm"
) === "Invalid date"
? "Never"
: moment(
api_keys.last_used_at
).format("YYYY-MM-DD HH:mm")
}
>
<div>
{moment(api_keys.last_used_at).format(
"YYYY-MM-DD HH:mm"
) === "Invalid date"
? "Never"
: moment(
api_keys.last_used_at
).format("YYYY-MM-DD HH:mm")}
</div>
</ShadTooltip>
</TableCell>
<TableCell className="truncate py-2">
{api_keys.total_uses}
</TableCell>
<TableCell className="flex w-[100px] py-2 text-right">
<div className="flex">
<ConfirmationModal
title="Delete"
titleHeader="Delete User"
modalContentTitle="Attention!"
cancelText="Cancel"
confirmationText="Delete"
icon={"UserMinus2"}
data={api_keys.id}
index={index}
onConfirm={(index, keys) => {
handleDeleteKey(keys);
}}
>
<ConfirmationModal.Content>
<span>
Are you sure you want to delete
this key? This action cannot be
undone.
</span>
</ConfirmationModal.Content>
<ConfirmationModal.Trigger>
<IconComponent
name="Trash2"
className="ml-2 h-4 w-4 cursor-pointer"
/>
</ConfirmationModal.Trigger>
</ConfirmationModal>
</div>
</TableCell>
</TableRow>
)
)}
</TableBody>
)}
</Table>
)}
</div>
<div className="flex items-center justify-between">
<div>
<SecretKeyModal
title="Create new secret key"
cancelText="Cancel"
confirmationText="Create secret key"
icon={"Key"}
data={userId}
onCloseModal={getKeys}
>
<Button>
<IconComponent name="Plus" className="mr-1 h-5 w-5" />
Create new secret key
</Button>
</SecretKeyModal>
</div>
</div>
</>
</div>
</div>
</div>
</div>
)}
</>
);
}

2
src/frontend/src/pages/FlowPage/components/PageComponent/index.tsx
View file

@ -11,13 +11,13 @@ import ReactFlow, {
SelectionDragHandler,
updateEdge,
} from "reactflow";
import GenericNode from "../../../../CustomNodes/GenericNode";
import {
INVALID_SELECTION_ERROR_ALERT,
UPLOAD_ALERT_LIST,
UPLOAD_ERROR_ALERT,
WRONG_FILE_ERROR_ALERT,
} from "../../../../constants/alerts_constants";
import GenericNode from "../../../../customNodes/genericNode";
import useAlertStore from "../../../../stores/alertStore";
import useFlowStore from "../../../../stores/flowStore";
import useFlowsManagerStore from "../../../../stores/flowsManagerStore";

91
src/frontend/src/pages/MainPage/components/componentsComponent/index.tsx
View file

@ -4,7 +4,9 @@ import { FormProvider, useForm, useWatch } from "react-hook-form";
import { Link, useLocation, useNavigate } from "react-router-dom";
import CollectionCardComponent from "../../../../components/cardComponent";
import CardsWrapComponent from "../../../../components/cardsWrapComponent";
import IconComponent from "../../../../components/genericIconComponent";
import IconComponent, {
ForwardedIconComponent,
} from "../../../../components/genericIconComponent";
import PaginatorComponent from "../../../../components/paginatorComponent";
import { SkeletonCardComponent } from "../../../../components/skeletonCardComponent";
import { Button } from "../../../../components/ui/button";
@ -18,6 +20,9 @@ import { getNameByType } from "../../utils/get-name-by-type";
import { sortFlows } from "../../utils/sort-flows";
import EmptyComponent from "../emptyComponent";
import HeaderComponent from "../headerComponent";
import { downloadFlow, removeApiKeys } from "../../../../utils/reactflowUtils";
import { useDarkStore } from "../../../../stores/darkStore";
import { UPLOAD_ERROR_ALERT } from "../../../../constants/alerts_constants";
export default function ComponentsComponent({
type = "all",
@ -31,22 +36,22 @@ export default function ComponentsComponent({
const allFlows = useFlowsManagerStore((state) => state.allFlows);
const flowsFromFolder = useFolderStore(
(state) => state.selectedFolder?.flows
(state) => state.selectedFolder?.flows,
);
const setSuccessData = useAlertStore((state) => state.setSuccessData);
const setErrorData = useAlertStore((state) => state.setErrorData);
const [openDelete, setOpenDelete] = useState(false);
const searchFlowsComponents = useFlowsManagerStore(
(state) => state.searchFlowsComponents
(state) => state.searchFlowsComponents,
);
const setSelectedFlowsComponentsCards = useFlowsManagerStore(
(state) => state.setSelectedFlowsComponentsCards
(state) => state.setSelectedFlowsComponentsCards,
);
const selectedFlowsComponentsCards = useFlowsManagerStore(
(state) => state.selectedFlowsComponentsCards
(state) => state.selectedFlowsComponentsCards,
);
const [handleFileDrop] = useFileDrop(uploadFlow, type)!;
@ -82,7 +87,7 @@ export default function ComponentsComponent({
f.name.toLowerCase().includes(searchFlowsComponents.toLowerCase()) ||
f.description
.toLowerCase()
.includes(searchFlowsComponents.toLowerCase())
.includes(searchFlowsComponents.toLowerCase()),
);
if (searchFlowsComponents === "") {
@ -129,6 +134,8 @@ export default function ComponentsComponent({
setOpenDelete(true);
} else if (action === "duplicate") {
handleDuplicate();
} else if (action === "export") {
handleExport();
}
};
@ -137,9 +144,9 @@ export default function ComponentsComponent({
selectedFlowsComponentsCards.map((selectedFlow) =>
addFlow(
true,
allFlows.find((flow) => flow.id === selectedFlow)
)
)
allFlows.find((flow) => flow.id === selectedFlow),
),
),
).then(() => {
resetFilter();
getFoldersApi(true);
@ -152,6 +159,47 @@ export default function ComponentsComponent({
});
};
const handleImport = () => {
uploadFlow({ newProject: true, isComponent: false })
.then(() => {
resetFilter();
getFoldersApi(true);
if (!folderId || folderId === myCollectionId) {
getFolderById(folderId ? folderId : myCollectionId);
}
setSelectedFlowsComponentsCards([]);
setSuccessData({ title: "Flows imported successfully" });
})
.catch((error) => {
setErrorData({
title: UPLOAD_ERROR_ALERT,
list: [error],
});
});
};
const version = useDarkStore((state) => state.version);
const handleExport = () => {
selectedFlowsComponentsCards.map((selectedFlowId) => {
const selectedFlow = allFlows.find((flow) => flow.id === selectedFlowId);
downloadFlow(
removeApiKeys({
id: selectedFlow!.id,
data: selectedFlow!.data!,
description: selectedFlow!.description,
name: selectedFlow!.name,
last_tested_version: version,
is_component: false,
}),
selectedFlow!.name,
selectedFlow!.description,
);
});
setSuccessData({ title: "Flows exported successfully" });
};
const handleDeleteMultiple = () => {
removeFlow(selectedFlowsComponentsCards)
.then(() => {
@ -161,7 +209,7 @@ export default function ComponentsComponent({
getFolderById(folderId ? folderId : myCollectionId);
}
setSuccessData({
title: "Selected items deleted successfully!",
title: "Selected items deleted successfully",
});
})
.catch(() => {
@ -180,7 +228,7 @@ export default function ComponentsComponent({
return true;
}
return false;
}
},
);
setSelectedFlowsComponentsCards(selectedFlows);
@ -215,20 +263,23 @@ export default function ComponentsComponent({
if (type === "all") return allFlows?.length;
return allFlows?.filter(
(f) => (f.is_component ?? false) === (type === "component")
(f) => (f.is_component ?? false) === (type === "component"),
)?.length;
};
return (
<>
{allFlows?.length > 0 && (
<HeaderComponent
handleDelete={() => handleSelectOptionsChange("delete")}
handleSelectAll={handleSelectAll}
handleDuplicate={() => handleSelectOptionsChange("duplicate")}
disableFunctions={!(selectedFlowsComponentsCards?.length > 0)}
/>
)}
<div className="flex w-full gap-4 pb-5">
{allFlows?.length > 0 && (
<HeaderComponent
handleDelete={() => handleSelectOptionsChange("delete")}
handleSelectAll={handleSelectAll}
handleDuplicate={() => handleSelectOptionsChange("duplicate")}
handleExport={() => handleSelectOptionsChange("export")}
disableFunctions={!(selectedFlowsComponentsCards?.length > 0)}
/>
)}
</div>
<CardsWrapComponent
onFileDrop={handleFileDrop}

2
src/frontend/src/pages/MainPage/components/emptyComponent/index.tsx
View file

@ -13,7 +13,7 @@ const EmptyComponent = ({}: EmptyComponentProps) => {
return (
<>
<div className="mt-6 flex w-full items-center justify-center text-center">
<div className="mt-2 flex w-full items-center justify-center text-center">
<div className="flex-max-width h-full flex-col">
<div className="align-center flex w-full justify-center gap-1 ">
<span className="text-muted-foreground">

79
src/frontend/src/pages/MainPage/components/headerComponent/index.tsx
View file

@ -1,13 +1,17 @@
import { useState } from "react";
import IconComponent from "../../../../components/genericIconComponent";
import IconComponent, {
ForwardedIconComponent,
} from "../../../../components/genericIconComponent";
import ShadTooltip from "../../../../components/shadTooltipComponent";
import { Checkbox } from "../../../../components/ui/checkbox";
import { cn } from "../../../../utils/utils";
import { Button } from "../../../../components/ui/button";
type HeaderComponentProps = {
handleSelectAll: (select) => void;
handleDelete: () => void;
handleDuplicate: () => void;
handleExport: () => void;
disableFunctions: boolean;
};
@ -15,6 +19,7 @@ const HeaderComponent = ({
handleSelectAll,
handleDelete,
handleDuplicate,
handleExport,
disableFunctions,
}: HeaderComponentProps) => {
const [shouldSelectAll, setShouldSelectAll] = useState(true);
@ -26,29 +31,41 @@ const HeaderComponent = ({
return (
<>
<div className="grid grid-cols-3 pb-5">
<div className="col-auto grid-cols-1 self-center justify-self-start">
<a onClick={handleClick} className="text-sm">
<div className="header-menu-bar-display ">
<div
className="header-menu-flow-name"
data-testid="select_all_collection"
>
<div className="flex items-center space-x-2">
<Checkbox checked={!shouldSelectAll} id="terms" />
<label
onClick={handleClick}
htmlFor="terms"
className="label cursor-pointer text-sm font-medium leading-none peer-disabled:cursor-not-allowed peer-disabled:opacity-70"
>
{shouldSelectAll ? "Select All" : "Unselect All"}
</label>
</div>
</div>
<div className="flex w-full items-center justify-between gap-4">
<div className="flex items-center justify-self-start">
<a onClick={handleClick} className="cursor-pointer text-sm">
<div className="flex items-center space-x-2">
<Checkbox checked={!shouldSelectAll} id="terms" />
<span className="label text-sm font-medium leading-none peer-disabled:cursor-not-allowed peer-disabled:opacity-70">
{shouldSelectAll ? "Select All" : "Unselect All"}
</span>
</div>
</a>
</div>
<div className="col-span-2 flex grid-cols-1 gap-2 justify-self-end">
<div className="flex items-center gap-2">
<div>
<ShadTooltip
content={
disableFunctions ? (
<span>Select items to export</span>
) : (
<span>Export selected items</span>
)
}
>
<Button
variant="none"
size="none"
onClick={handleExport}
disabled={disableFunctions}
>
<IconComponent
name="FileDown"
className={cn("h-5 w-5 text-primary transition-all")}
/>
</Button>
</ShadTooltip>
</div>
<div>
<ShadTooltip
content={
@ -59,12 +76,17 @@ const HeaderComponent = ({
)
}
>
<button onClick={handleDuplicate} disabled={disableFunctions}>
<Button
variant="none"
size="none"
onClick={handleDuplicate}
disabled={disableFunctions}
>
<IconComponent
name="Copy"
className={cn("h-5 w-5 text-primary transition-all")}
/>
</button>
</Button>
</ShadTooltip>
</div>
<div>
@ -77,15 +99,20 @@ const HeaderComponent = ({
)
}
>
<button onClick={handleDelete} disabled={disableFunctions}>
<Button
variant="none"
size="none"
onClick={handleDelete}
disabled={disableFunctions}
>
<IconComponent
name="Trash2"
className={cn(
"h-5 w-5 text-primary transition-all",
disableFunctions ? "" : "hover:text-destructive"
disableFunctions ? "" : "hover:text-destructive",
)}
/>
</button>
</Button>
</ShadTooltip>
</div>
</div>

5
src/frontend/src/pages/MainPage/components/myCollectionComponent/index.tsx
View file

@ -2,16 +2,15 @@ import ComponentsComponent from "../componentsComponent";
import HeaderTabsSearchComponent from "./components/headerTabsSearchComponent";
type MyCollectionComponentProps = {
key: string;
type: string;
};
const MyCollectionComponent = ({ key, type }: MyCollectionComponentProps) => {
const MyCollectionComponent = ({ type }: MyCollectionComponentProps) => {
return (
<>
<HeaderTabsSearchComponent />
<div className="mt-5 flex h-full flex-col">
<ComponentsComponent key={key} type={type} />
<ComponentsComponent key={type} type={type} />
</div>
</>
);

6
src/frontend/src/pages/MainPage/pages/mainPage/index.tsx
View file

@ -16,7 +16,7 @@ import useDropdownOptions from "../../hooks/use-dropdown-options";
export default function HomePage(): JSX.Element {
const uploadFlow = useFlowsManagerStore((state) => state.uploadFlow);
const setCurrentFlowId = useFlowsManagerStore(
(state) => state.setCurrentFlowId
(state) => state.setCurrentFlowId,
);
const location = useLocation();
@ -67,10 +67,6 @@ export default function HomePage(): JSX.Element {
<div className="flex h-full w-full space-y-8 md:flex-col lg:flex-row lg:space-x-8 lg:space-y-0">
<aside className="flex h-fit w-fit flex-col space-y-6">
<SidebarNav
handleOpenNewFolderModal={() => {
setFolderToEdit(null);
setOpenFolderModal(true);
}}
items={[]}
handleChangeFolder={(id: string) => {
navigate(`all/folder/${id}`, { state: { folderId: id } });

24
src/frontend/src/pages/SettingsPage/index.tsx
View file

@ -8,7 +8,7 @@ import useFlowsManagerStore from "../../stores/flowsManagerStore";
export default function SettingsPage(): JSX.Element {
const pathname = location.pathname;
const setCurrentFlowId = useFlowsManagerStore(
(state) => state.setCurrentFlowId
(state) => state.setCurrentFlowId,
);
useEffect(() => {
setCurrentFlowId("");
@ -25,7 +25,6 @@ export default function SettingsPage(): JSX.Element {
/>
),
},
{
title: "Global Variables",
href: "/settings/global-variables",
@ -36,6 +35,16 @@ export default function SettingsPage(): JSX.Element {
/>
),
},
{
title: "API Keys",
href: "/settings/api-keys",
icon: (
<ForwardedIconComponent
name="Key"
className="w-4 flex-shrink-0 justify-start stroke-[1.5]"
/>
),
},
{
title: "Shortcuts",
href: "/settings/shortcuts",
@ -50,7 +59,10 @@ export default function SettingsPage(): JSX.Element {
title: "Messages",
href: "/settings/messages",
icon: (
<ForwardedIconComponent name="Keyboard" className="w-5 stroke-[1.5]" />
<ForwardedIconComponent
name="MessagesSquare"
className="w-4 flex-shrink-0 justify-start stroke-[1.5]"
/>
),
},
];
@ -63,8 +75,10 @@ export default function SettingsPage(): JSX.Element {
<aside className="flex h-full shrink-0 flex-col space-y-6 lg:w-[20vw]">
<SidebarNav items={sidebarNavItems} />
</aside>
<div className="h-full w-full flex-1 pb-8">
<Outlet />
<div className="flex h-full w-full flex-1 flex-col">
<div className="flex-1 pb-8">
<Outlet />
</div>
</div>
</div>
</PageLayout>

58
src/frontend/src/pages/SettingsPage/pages/ApiKeysPage/components/ApiKeyHeader/index.tsx Normal file
View file

@ -0,0 +1,58 @@
import ForwardedIconComponent from "../../../../../../components/genericIconComponent";
import { Button } from "../../../../../../components/ui/button";
import { API_PAGE_PARAGRAPH } from "../../../../../../constants/constants";
import SecretKeyModal from "../../../../../../modals/secretKeyModal";
import { cn } from "../../../../../../utils/utils";
type ApiKeyHeaderComponentProps = {
selectedRows: string[];
handleDeleteKey: () => void;
fetchApiKeys: () => void;
userId: string;
};
const ApiKeyHeaderComponent = ({
selectedRows,
handleDeleteKey,
fetchApiKeys,
userId,
}: ApiKeyHeaderComponentProps) => {
return (
<>
<div className="flex w-full items-center justify-between gap-4 space-y-0.5">
<div className="flex w-full flex-col">
<h2 className="flex items-center text-lg font-semibold tracking-tight">
API Keys
<ForwardedIconComponent
name="Key"
className="ml-2 h-5 w-5 text-primary"
/>
</h2>
<p className="text-sm text-muted-foreground">{API_PAGE_PARAGRAPH}</p>
</div>
<div className="flex flex-shrink-0 items-center gap-2">
<Button
data-testid="api-key-button-store"
variant="primary"
className="group px-2"
disabled={selectedRows.length === 0}
onClick={handleDeleteKey}
>
<ForwardedIconComponent
name="Trash2"
className={cn(
"h-5 w-5 text-destructive group-disabled:text-primary",
)}
/>
</Button>
<SecretKeyModal data={userId} onCloseModal={fetchApiKeys}>
<Button data-testid="api-key-button-store" variant="primary">
<ForwardedIconComponent name="Plus" className="mr-2 w-4" />
Add New
</Button>
</SecretKeyModal>
</div>
</div>
</>
);
};
export default ApiKeyHeaderComponent;

40
src/frontend/src/pages/SettingsPage/pages/ApiKeysPage/helpers/column-defs.ts Normal file
View file

@ -0,0 +1,40 @@
import TableAutoCellRender from "../../../../../components/tableComponent/components/tableAutoCellRender";
export const getColumnDefs = () => {
return [
{
headerCheckboxSelection: true,
checkboxSelection: true,
showDisabledCheckboxes: true,
headerName: "Name",
field: "name",
cellRenderer: TableAutoCellRender,
flex: 2,
},
{
headerName: "Key",
field: "api_key",
cellRenderer: TableAutoCellRender,
flex: 1,
},
{
headerName: "Created",
field: "created_at",
cellRenderer: TableAutoCellRender,
flex: 1,
},
{
headerName: "Last Used",
field: "last_used_at",
cellRenderer: TableAutoCellRender,
flex: 1,
},
{
headerName: "Total Uses",
field: "total_uses",
cellRenderer: TableAutoCellRender,
flex: 1,
resizable: false,
},
];
};

26
src/frontend/src/pages/SettingsPage/pages/ApiKeysPage/hooks/use-api-keys.tsx Normal file
View file

@ -0,0 +1,26 @@
import { getApiKey } from "../../../../../controllers/API";
const useApiKeys = (userData, setLoadingKeys, keysList, setUserId) => {
const fetchApiKeys = () => {
setLoadingKeys(true);
getApiKey()
.then((keys) => {
keysList.current = keys["api_keys"].map((apikey) => ({
...apikey,
name: apikey.name && apikey.name !== "" ? apikey.name : "Untitled",
last_used_at: apikey.last_used_at ?? "Never",
}));
setUserId(keys["user_id"]);
setLoadingKeys(false);
})
.catch((error) => {
setLoadingKeys(false);
});
};
return {
fetchApiKeys,
};
};
export default useApiKeys;

42
src/frontend/src/pages/SettingsPage/pages/ApiKeysPage/hooks/use-handle-delete-key.tsx Normal file
View file

@ -0,0 +1,42 @@
import {
DEL_KEY_ERROR_ALERT,
DEL_KEY_ERROR_ALERT_PLURAL,
DEL_KEY_SUCCESS_ALERT,
DEL_KEY_SUCCESS_ALERT_PLURAL,
} from "../../../../../constants/alerts_constants";
import { deleteApiKey } from "../../../../../controllers/API";
const useDeleteApiKeys = (
selectedRows,
resetFilter,
setSuccessData,
setErrorData,
) => {
const handleDeleteKey = () => {
Promise.all(selectedRows.map((selectedRow) => deleteApiKey(selectedRow)))
.then(() => {
resetFilter();
setSuccessData({
title:
selectedRows.length === 1
? DEL_KEY_SUCCESS_ALERT
: DEL_KEY_SUCCESS_ALERT_PLURAL,
});
})
.catch((error) => {
setErrorData({
title:
selectedRows.length === 1
? DEL_KEY_ERROR_ALERT
: DEL_KEY_ERROR_ALERT_PLURAL,
list: [error?.response?.data?.detail],
});
});
};
return {
handleDeleteKey,
};
};
export default useDeleteApiKeys;

69
src/frontend/src/pages/SettingsPage/pages/ApiKeysPage/index.tsx Normal file
View file

@ -0,0 +1,69 @@
import { SelectionChangedEvent } from "ag-grid-community";
import { useContext, useEffect, useRef, useState } from "react";
import TableComponent from "../../../../components/tableComponent";
import { Card, CardContent } from "../../../../components/ui/card";
import { AuthContext } from "../../../../contexts/authContext";
import useAlertStore from "../../../../stores/alertStore";
import ApiKeyHeaderComponent from "./components/ApiKeyHeader";
import { getColumnDefs } from "./helpers/column-defs";
import useApiKeys from "./hooks/use-api-keys";
import useDeleteApiKeys from "./hooks/use-handle-delete-key";
export default function ApiKeysPage() {
const [loadingKeys, setLoadingKeys] = useState(true);
const [selectedRows, setSelectedRows] = useState<string[]>([]);
const setSuccessData = useAlertStore((state) => state.setSuccessData);
const setErrorData = useAlertStore((state) => state.setErrorData);
const { userData } = useContext(AuthContext);
const [userId, setUserId] = useState("");
const keysList = useRef([]);
useEffect(() => {
fetchApiKeys();
}, [userData]);
const { fetchApiKeys } = useApiKeys(
userData,
setLoadingKeys,
keysList,
setUserId,
);
function resetFilter() {
fetchApiKeys();
}
const { handleDeleteKey } = useDeleteApiKeys(
selectedRows,
resetFilter,
setSuccessData,
setErrorData,
);
const columnDefs = getColumnDefs();
return (
<div className="flex h-full w-full flex-col justify-between gap-6">
<ApiKeyHeaderComponent
selectedRows={selectedRows}
handleDeleteKey={handleDeleteKey}
fetchApiKeys={fetchApiKeys}
userId={userId}
/>
<div className="flex h-full w-full flex-col justify-between">
<TableComponent
overlayNoRowsTemplate="No data available"
onSelectionChanged={(event: SelectionChangedEvent) => {
setSelectedRows(event.api.getSelectedRows().map((row) => row.id));
}}
rowSelection="multiple"
suppressRowClickSelection={true}
pagination={true}
columnDefs={columnDefs}
rowData={keysList.current}
/>
</div>
</div>
);
}

36
src/frontend/src/pages/SettingsPage/pages/GlobalVariablesPage/index.tsx
View file

@ -16,13 +16,13 @@ import { cn } from "../../../../utils/utils";
export default function GlobalVariablesPage() {
const globalVariablesEntries = useGlobalVariablesStore(
(state) => state.globalVariablesEntries
(state) => state.globalVariablesEntries,
);
const removeGlobalVariable = useGlobalVariablesStore(
(state) => state.removeGlobalVariable
(state) => state.removeGlobalVariable,
);
const globalVariables = useGlobalVariablesStore(
(state) => state.globalVariables
(state) => state.globalVariables,
);
const setErrorData = useAlertStore((state) => state.setErrorData);
const getVariableId = useGlobalVariablesStore((state) => state.getVariableId);
@ -154,7 +154,7 @@ export default function GlobalVariablesPage() {
<IconComponent
name="Trash2"
className={cn(
"h-5 w-5 text-destructive group-disabled:text-primary"
"h-5 w-5 text-destructive group-disabled:text-primary",
)}
/>
</Button>
@ -168,23 +168,17 @@ export default function GlobalVariablesPage() {
</div>
<div className="flex h-full w-full flex-col justify-between">
<Card x-chunk="dashboard-04-chunk-2" className="h-full pt-4">
<CardContent className="h-full">
<TableComponent
overlayNoRowsTemplate="No data available"
onSelectionChanged={(event: SelectionChangedEvent) => {
setSelectedRows(
event.api.getSelectedRows().map((row) => row.name)
);
}}
rowSelection="multiple"
suppressRowClickSelection={true}
pagination={true}
columnDefs={colDefs}
rowData={rowData}
/>
</CardContent>
</Card>
<TableComponent
overlayNoRowsTemplate="No data available"
onSelectionChanged={(event: SelectionChangedEvent) => {
setSelectedRows(event.api.getSelectedRows().map((row) => row.name));
}}
rowSelection="multiple"
suppressRowClickSelection={true}
pagination={true}
columnDefs={colDefs}
rowData={rowData}
/>
</div>
</div>
);

25
src/frontend/src/pages/SettingsPage/pages/ShortcutsPage/index.tsx
View file

@ -20,7 +20,7 @@ export default function ShortcutsPage() {
const redoShortcut = `${isMac ? "Cmd" : "Ctrl"} + Y`;
// Column Definitions: Defines the columns to be displayed.
const [colDefs, setColDefs] = useState<(ColDef<any> | ColGroupDef<any>)[]>([
const colDefs = [
{
headerName: "Functionality",
field: "name",
@ -33,9 +33,9 @@ export default function ShortcutsPage() {
editable: false,
resizable: false,
},
]);
];
const [nodesRowData, setNodesRowData] = useState([
const nodesRowData = [
{
name: "Advanced Settings Component",
shortcut: advancedShortcut,
@ -96,7 +96,7 @@ export default function ShortcutsPage() {
shortcut: redoShortcut,
resizable: false,
},
]);
];
return (
<div className="flex h-full w-full flex-col gap-6">
@ -114,17 +114,12 @@ export default function ShortcutsPage() {
</p>
</div>
</div>
<div className="grid gap-6">
<Card x-chunk="dashboard-04-chunk-2" className="h-full pt-4">
<CardContent className="h-full">
<TableComponent
domLayout="autoHeight"
pagination={false}
columnDefs={colDefs}
rowData={nodesRowData}
/>
</CardContent>
</Card>
<div className="flex h-full w-full flex-col justify-between">
<TableComponent
pagination={false}
columnDefs={colDefs}
rowData={nodesRowData}
/>
</div>
</div>
);

44
src/frontend/src/pages/SettingsPage/pages/messagesPage/index.tsx
View file

@ -27,7 +27,7 @@ export default function MessagesPage() {
setSelectedRows,
setSuccessData,
setErrorData,
selectedRows
selectedRows,
);
const { handleUpdate } = useUpdateMessage(setSuccessData, setErrorData);
@ -52,29 +52,25 @@ export default function MessagesPage() {
handleRemoveMessages={handleRemoveMessages}
/>
<div className="flex h-full w-full flex-col justify-between pb-8">
<Card x-chunk="dashboard-04-chunk-2" className="h-full pt-4">
<CardContent className="h-full">
<TableComponent
readOnlyEdit
onCellEditRequest={(event) => {
handleUpdateMessage(event);
}}
editable={["Sender Name", "Message"]}
overlayNoRowsTemplate="No data available"
onSelectionChanged={(event: SelectionChangedEvent) => {
setSelectedRows(
event.api.getSelectedRows().map((row) => row.index)
);
}}
rowSelection="multiple"
suppressRowClickSelection={true}
pagination={true}
columnDefs={columns}
rowData={messages}
/>
</CardContent>
</Card>
<div className="flex h-full w-full flex-col justify-between">
<TableComponent
readOnlyEdit
onCellEditRequest={(event) => {
handleUpdateMessage(event);
}}
editable={["Sender Name", "Message"]}
overlayNoRowsTemplate="No data available"
onSelectionChanged={(event: SelectionChangedEvent) => {
setSelectedRows(
event.api.getSelectedRows().map((row) => row.index),
);
}}
rowSelection="multiple"
suppressRowClickSelection={true}
pagination={true}
columnDefs={columns}
rowData={messages}
/>
</div>
</div>
);

13
src/frontend/src/routes.tsx
View file

@ -10,7 +10,9 @@ import MessagesPage from "./pages/SettingsPage/pages/messagesPage";
const AdminPage = lazy(() => import("./pages/AdminPage"));
const LoginAdminPage = lazy(() => import("./pages/AdminPage/LoginPage"));
const ApiKeysPage = lazy(() => import("./pages/ApiKeysPage"));
const ApiKeysPage = lazy(
() => import("./pages/SettingsPage/pages/ApiKeysPage"),
);
const DeleteAccountPage = lazy(() => import("./pages/DeleteAccountPage"));
const FlowPage = lazy(() => import("./pages/FlowPage"));
const LoginPage = lazy(() => import("./pages/LoginPage"));
@ -77,6 +79,7 @@ const Router = () => {
>
<Route index element={<Navigate replace to={"general"} />} />
<Route path="global-variables" element={<GlobalVariablesPage />} />
<Route path="api-keys" element={<ApiKeysPage />} />
<Route path="general/:scrollId?" element={<GeneralPage />} />
<Route path="shortcuts" element={<ShortcutsPage />} />
<Route path="messages" element={<MessagesPage />} />
@ -189,14 +192,6 @@ const Router = () => {
</ProtectedRoute>
}
></Route>
<Route
path="api-keys"
element={
<ProtectedRoute>
<ApiKeysPage />
</ProtectedRoute>
}
></Route>
</Route>
</Routes>
</Suspense>

4
src/frontend/src/stores/flowsManagerStore.ts
View file

@ -1,5 +1,5 @@
import * as debounce from "debounce-promise";
import { cloneDeep } from "lodash";
import pDebounce from "p-debounce";
import { Edge, Node, Viewport, XYPosition } from "reactflow";
import { create } from "zustand";
import { SAVE_DEBOUNCE_TIME } from "../constants/constants";
@ -128,7 +128,7 @@ const useFlowsManagerStore = create<FlowsManagerStoreType>((set, get) => ({
set({ saveLoading: true }); // set saveLoading true immediately
return get().saveFlowDebounce(flow, silent); // call the debounced function directly
},
saveFlowDebounce: debounce((flow: FlowType, silent?: boolean) => {
saveFlowDebounce: pDebounce((flow: FlowType, silent?: boolean) => {
set({ saveLoading: true });
return new Promise<void>((resolve, reject) => {
updateFlowInDatabase(flow)

44
src/frontend/src/stores/foldersStore.tsx
View file

@ -7,6 +7,7 @@ import {
} from "../pages/MainPage/services";
import { FoldersStoreType } from "../types/zustand/folders";
import useFlowsManagerStore from "./flowsManagerStore";
import { uploadFlowsToDatabase } from "../controllers/API";
export const useFolderStore = create<FoldersStoreType>((set, get) => ({
folders: [],
@ -17,18 +18,18 @@ export const useFolderStore = create<FoldersStoreType>((set, get) => ({
getFolders().then(
(res) => {
const foldersWithoutStarterProjects = res.filter(
(folder) => folder.name !== STARTER_FOLDER_NAME
(folder) => folder.name !== STARTER_FOLDER_NAME,
);
const starterProjects = res.find(
(folder) => folder.name === STARTER_FOLDER_NAME
(folder) => folder.name === STARTER_FOLDER_NAME,
);
set({ starterProjectId: starterProjects!.id ?? "" });
set({ folders: foldersWithoutStarterProjects });
const myCollectionId = res?.find(
(f) => f.name === DEFAULT_FOLDER
(f) => f.name === DEFAULT_FOLDER,
)?.id;
set({ myCollectionId });
@ -41,11 +42,11 @@ export const useFolderStore = create<FoldersStoreType>((set, get) => ({
get().setLoading(false);
resolve();
},
() => {
(error) => {
set({ folders: [] });
get().setLoading(false);
reject();
}
reject(error);
},
);
}
});
@ -65,7 +66,7 @@ export const useFolderStore = create<FoldersStoreType>((set, get) => ({
},
() => {
get().setLoadingById(false);
}
},
);
}
},
@ -100,7 +101,7 @@ export const useFolderStore = create<FoldersStoreType>((set, get) => ({
folderIdDragging: "",
setFolderIdDragging: (id) => set(() => ({ folderIdDragging: id })),
uploadFolder: () => {
return new Promise<void>(() => {
return new Promise<void>((resolve, reject) => {
const input = document.createElement("input");
input.type = "file";
input.onchange = (event: Event) => {
@ -111,8 +112,31 @@ export const useFolderStore = create<FoldersStoreType>((set, get) => ({
const file = (event.target as HTMLInputElement).files![0];
const formData = new FormData();
formData.append("file", file);
uploadFlowsFromFolders(formData).then(() => {
get().getFoldersApi(true);
file.text().then((text) => {
const data = JSON.parse(text);
if (data.data?.nodes) {
useFlowsManagerStore
.getState()
.addFlow(true, data)
.then(() => {
resolve();
})
.catch((error) => {
reject(error);
});
} else {
uploadFlowsFromFolders(formData)
.then(() => {
get()
.getFoldersApi(true)
.then(() => {
resolve();
});
})
.catch((error) => {
reject(error);
});
}
});
}
};

10
src/frontend/src/style/classes.css
View file

@ -100,3 +100,13 @@ select:-webkit-autofill:focus {
.json-view-dark {
background-color: #141924 !important;
}
.ag-row .ag-cell {
display: flex;
align-items: center;
}
.ag-cell {
line-height: 1.25rem;
padding-top: 0.675rem;
padding-bottom: 0.675rem;
}

8
src/frontend/src/types/components/index.ts
View file

@ -38,7 +38,7 @@ export type InputComponentType = {
export type ToggleComponentType = {
enabled: boolean;
setEnabled: (state: boolean) => void;
disabled: boolean | undefined;
disabled?: boolean | undefined;
size: "small" | "medium" | "large";
id?: string;
editNode?: boolean;
@ -411,11 +411,7 @@ export type UserInputType = {
};
export type ApiKeyType = {
title: string;
cancelText: string;
confirmationText: string;
children: ReactElement;
icon: string;
data?: any;
onCloseModal: () => void;
};
@ -577,7 +573,7 @@ export type iconsType = {
export type modalHeaderType = {
children: ReactNode;
description: string | null;
description: string | JSX.Element | null;
};
export type codeAreaModalPropsType = {

2
src/frontend/src/types/zustand/folders/index.ts
View file

@ -20,7 +20,7 @@ export type FoldersStoreType = {
setFolderUrl: (folderUrl: string) => void;
folderDragging: boolean;
setFolderDragging: (set: boolean) => void;
uploadFolder: (folderId: string) => void;
uploadFolder: (folderId: string) => Promise<void>;
folderIdDragging: string;
setFolderIdDragging: (id: string) => void;
starterProjectId: string;

2
src/frontend/src/utils/reactflowUtils.ts
View file

@ -8,6 +8,7 @@ import {
XYPosition,
} from "reactflow";
import ShortUniqueId from "short-unique-id";
import getFieldTitle from "../CustomNodes/utils/get-field-title";
import {
INPUT_TYPES,
LANGFLOW_SUPPORTED_TYPES,
@ -16,7 +17,6 @@ import {
specialCharsRegex,
} from "../constants/constants";
import { downloadFlowsFromDatabase } from "../controllers/API";
import getFieldTitle from "../customNodes/utils/get-field-title";
import { DESCRIPTIONS } from "../flow_constants";
import {
APIClassType,

2
src/frontend/src/utils/styleUtils.ts
View file

@ -56,6 +56,7 @@ import {
FolderIcon,
FolderPlus,
FolderPlusIcon,
FolderUp,
FormInput,
Forward,
Gift,
@ -432,6 +433,7 @@ export const nodeIconsLucide: iconsType = {
ChevronLeft,
SlidersHorizontal,
Palette,
FolderUp,
Blocks,
ChevronDown,
ArrowLeft,

8
src/frontend/src/utils/utils.ts
View file

@ -1,7 +1,7 @@
import { ColDef, ColGroupDef } from "ag-grid-community";
import clsx, { ClassValue } from "clsx";
import { twMerge } from "tailwind-merge";
import TableAutoCellRender from "../components/tableAutoCellRender";
import TableAutoCellRender from "../components/tableComponent/components/tableAutoCellRender";
import { APIDataType, TemplateVariableType } from "../types/api";
import {
groupedObjType,
@ -345,8 +345,10 @@ export function freezeObject(obj: any) {
return JSON.parse(JSON.stringify(obj));
}
export function isTimeStampString(str: string): boolean {
const timestampRegex = /^\d{4}-\d{2}-\d{2}T\d{2}:\d{2}:\d{2}(\.\d{3}Z)?$/;
return timestampRegex.test(str);
const timestampRegexA = /^\d{4}-\d{2}-\d{2}T\d{2}:\d{2}:\d{2}(\.\d{3}Z)?$/;
const timestampRegexB = /^\d{4}-\d{2}-\d{2}T\d{2}:\d{2}:\d{2}(\.\d{6})?$/;
return timestampRegexA.test(str) || timestampRegexB.test(str);
}
export function extractColumnsFromRows(

2
src/frontend/tests/end-to-end/dropdownComponent.spec.ts
View file

@ -62,6 +62,8 @@ test("dropDownComponent", async ({ page }) => {
expect(false).toBeTruthy();
}
await page.waitForTimeout(1000);
await page.getByTestId("more-options-modal").click();
await page.getByTestId("edit-button-modal").click();

99
src/frontend/tests/end-to-end/generalBugs.spec.ts Normal file
View file

@ -0,0 +1,99 @@
import { expect, test } from "@playwright/test";
test("should interact with api request", async ({ page }) => {
await page.goto("/");
await page.waitForTimeout(2000);
let modalCount = 0;
try {
const modalTitleElement = await page?.getByTestId("modal-title");
if (modalTitleElement) {
modalCount = await modalTitleElement.count();
}
} catch (error) {
modalCount = 0;
}
while (modalCount === 0) {
await page.getByText("New Project", { exact: true }).click();
await page.waitForTimeout(5000);
modalCount = await page.getByTestId("modal-title")?.count();
}
await page.getByTestId("blank-flow").click();
await page.waitForTimeout(1000);
await page.getByTestId("extended-disclosure").click();
await page.getByPlaceholder("Search").click();
await page.getByPlaceholder("Search").fill("api request");
await page.waitForTimeout(1000);
await page
.getByTestId("dataAPI Request")
.dragTo(page.locator('//*[@id="react-flow-id"]'));
await page.mouse.up();
await page.mouse.down();
await page.getByTitle("fit view").click();
await page.getByTitle("zoom out").click();
await page.getByTitle("zoom out").click();
await page.getByTitle("zoom out").click();
});
test("erase button should clear the chat messages", async ({ page }) => {
if (!process.env.CI) {
dotenv.config();
dotenv.config({ path: path.resolve(__dirname, "../../.env") });
}
await page.goto("/");
await page.waitForTimeout(1000);
let modalCount = 0;
try {
const modalTitleElement = await page?.getByTestId("modal-title");
if (modalTitleElement) {
modalCount = await modalTitleElement.count();
}
} catch (error) {
modalCount = 0;
}
while (modalCount === 0) {
await page.getByText("New Project", { exact: true }).click();
await page.waitForTimeout(5000);
modalCount = await page.getByTestId("modal-title")?.count();
}
await page.getByRole("heading", { name: "Basic Prompting" }).click();
await page.waitForTimeout(1000);
await page.getByTitle("fit view").click();
await page.getByTitle("zoom out").click();
await page.getByTitle("zoom out").click();
await page.getByTitle("zoom out").click();
if (!process.env.OPENAI_API_KEY) {
//You must set the OPENAI_API_KEY on .env file to run this test
expect(false).toBe(true);
}
await page
.getByTestId("popover-anchor-input-openai_api_key")
.fill(process.env.OPENAI_API_KEY ?? "");
await page.getByText("Playground", { exact: true }).click();
await page.getByPlaceholder("Send a message...").fill("Hello, how are you?");
await page.getByTestId("icon-LucideSend").click();
let valueUser = await page.getByTestId("sender_name_user").textContent();
let valueAI = await page.getByTestId("sender_name_ai").textContent();
expect(valueUser).toBe("User");
expect(valueAI).toBe("AI");
await page.getByTestId("icon-Eraser").last().click();
await page.getByText("Hello, how are you?").isHidden();
await page.getByText("AI", { exact: true }).last().isHidden();
await page.getByText("User", { exact: true }).last().isHidden();
await page.getByText("Start a conversation").isVisible();
await page.getByText("Langflow Chat").isVisible();
});

30
src/frontend/tests/end-to-end/userSettings.spec.ts
View file

@ -95,5 +95,33 @@ test("should see shortcuts", async ({ page }) => {
await page.getByText("Delete Component", { exact: true }).isVisible();
await page.getByText("Open Playground", { exact: true }).isVisible();
await page.getByText("Undo", { exact: true }).isVisible();
await page.getByText("Redo", { exact: true }).isVisible();
await page.mouse.wheel(0, 10000);
await page.getByText("Redo", { exact: true }).last().isVisible();
await page.getByText("Reset Columns").last().isVisible();
});
test("should interact with API Keys", async ({ page }) => {
await page.goto("/");
await page.waitForTimeout(2000);
await page.getByTestId("user-profile-settings").click();
await page.getByText("Settings").click();
await page.getByText("API Keys").click();
await page.getByText("API Keys", { exact: true }).nth(1).isVisible();
await page.getByText("Add New").click();
await page.getByPlaceholder("Insert a name for your API Key").isVisible();
const randomName = Math.random().toString(36).substring(2);
await page
.getByPlaceholder("Insert a name for your API Key")
.fill(randomName);
await page.getByText("Create Secret Key", { exact: true }).click();
await page.getByText("Please save").isVisible();
await page.getByTestId("icon-Copy").click();
await page.waitForTimeout(1000);
await page.getByText("Api Key Copied!").isVisible();
await page.getByText(randomName).isVisible();
});