diff --git a/.github/workflows/deploy_gh-pages.yml b/.github/workflows/deploy_gh-pages.yml index aec8a39c8..9aebacda9 100644 --- a/.github/workflows/deploy_gh-pages.yml +++ b/.github/workflows/deploy_gh-pages.yml @@ -27,7 +27,7 @@ jobs: # Popular action to deploy to GitHub Pages: # Docs: https://github.com/peaceiris/actions-gh-pages#%EF%B8%8F-docusaurus - name: Deploy to GitHub Pages - uses: peaceiris/actions-gh-pages@v3 + uses: peaceiris/actions-gh-pages@v4 with: github_token: ${{ secrets.GITHUB_TOKEN }} # Build output to publish to the `gh-pages` branch: diff --git a/.github/workflows/pre-release-base.yml b/.github/workflows/pre-release-base.yml index e0da58777..cbcfe3ad6 100644 --- a/.github/workflows/pre-release-base.yml +++ b/.github/workflows/pre-release-base.yml @@ -74,4 +74,4 @@ jobs: push: true file: ./build_and_push_base.Dockerfile tags: | - logspace/langflow:base-${{ needs.release.outputs.version }} + langflowai/langflow:base-${{ needs.release.outputs.version }} diff --git a/.github/workflows/pre-release-langflow.yml b/.github/workflows/pre-release-langflow.yml index 116c2d7e6..5dcd69617 100644 --- a/.github/workflows/pre-release-langflow.yml +++ b/.github/workflows/pre-release-langflow.yml @@ -53,7 +53,7 @@ jobs: run: | make publish main=true - name: Upload Artifact - uses: actions/upload-artifact@v2 + uses: actions/upload-artifact@v4 with: name: dist path: dist @@ -63,6 +63,7 @@ jobs: runs-on: ubuntu-latest needs: release steps: + - uses: actions/checkout@v4 - name: Set up QEMU uses: docker/setup-qemu-action@v3 - name: Set up Docker Buildx @@ -79,15 +80,15 @@ jobs: push: true file: ./build_and_push.Dockerfile tags: | - logspace/langflow:${{ needs.release.outputs.version }} - logspace/langflow:1.0-alpha + langflowai/langflow:${{ needs.release.outputs.version }} + langflowai/langflow:1.0-alpha create_release: name: Create Release runs-on: ubuntu-latest needs: [docker_build, release] steps: - - uses: actions/download-artifact@v2 + - uses: actions/download-artifact@v4 with: name: dist path: dist diff --git a/.github/workflows/release.yml b/.github/workflows/release.yml index 5d522c230..c19a491c3 100644 --- a/.github/workflows/release.yml +++ b/.github/workflows/release.yml @@ -52,8 +52,8 @@ jobs: push: true file: ./build_and_push.Dockerfile tags: | - logspace/langflow:${{ steps.check-version.outputs.version }} - logspace/langflow:latest + langflowai/langflow:${{ steps.check-version.outputs.version }} + langflowai/langflow:latest - name: Create Release uses: ncipollo/release-action@v1 with: diff --git a/.github/workflows/typescript_test.yml b/.github/workflows/typescript_test.yml index 0cb3213d8..71ea535da 100644 --- a/.github/workflows/typescript_test.yml +++ b/.github/workflows/typescript_test.yml @@ -26,7 +26,7 @@ jobs: uses: actions/checkout@v4 - name: Setup Node.js - uses: actions/setup-node@v3 + uses: actions/setup-node@v4 id: setup-node with: node-version: ${{ env.NODE_VERSION }} @@ -99,7 +99,7 @@ jobs: uses: actions/checkout@v4 - name: Setup Node.js - uses: actions/setup-node@v3 + uses: actions/setup-node@v4 with: node-version: ${{ env.NODE_VERSION }} diff --git a/deploy/docker-compose.yml b/deploy/docker-compose.yml index c47871bf6..b1a5f4f06 100644 --- a/deploy/docker-compose.yml +++ b/deploy/docker-compose.yml @@ -69,7 +69,7 @@ services: - traefik.http.routers.${STACK_NAME?Variable not set}-proxy-http.middlewares=${STACK_NAME?Variable not set}-www-redirect,${STACK_NAME?Variable not set}-https-redirect backend: &backend - image: "logspace/langflow:latest" + image: "langflowai/langflow:latest" depends_on: - db - broker diff --git a/docker-compose.yml b/docker-compose.yml index cd7a3b338..987d198aa 100644 --- a/docker-compose.yml +++ b/docker-compose.yml @@ -13,7 +13,7 @@ services: - "7860:7860" volumes: - ./:/app - command: bash -c "uvicorn --factory langflow.main:create_app --host 0.0.0.0 --port 7860 --reload --loop asyncio", + command: bash -c "uvicorn --factory langflow.main:create_app --host 0.0.0.0 --port 7860 --reload --loop asyncio" networks: - langflow frontend: diff --git a/docker_example/Dockerfile b/docker_example/Dockerfile index 24b2b5dcc..e7f0b422a 100644 --- a/docker_example/Dockerfile +++ b/docker_example/Dockerfile @@ -1,3 +1,3 @@ -FROM logspace/langflow:latest +FROM langflowai/langflow:latest CMD ["python", "-m", "langflow", "run", "--host", "0.0.0.0", "--port", "7860"] diff --git a/docker_example/README.md b/docker_example/README.md index 9eadce1f3..c5d2adb26 100644 --- a/docker_example/README.md +++ b/docker_example/README.md @@ -35,7 +35,7 @@ The Docker Compose configuration spins up two services: `langflow` and `postgres ### LangFlow Service -The `langflow` service uses the `logspace/langflow:latest` Docker image and exposes port 7860. It depends on the `postgres` service. +The `langflow` service uses the `langflowai/langflow:latest` Docker image and exposes port 7860. It depends on the `postgres` service. Environment variables: @@ -62,4 +62,4 @@ Volumes: ## 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 `logspace/langflow:latest` to `logspace/langflow:1.0-alpha`. +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`. diff --git a/docker_example/docker-compose.yml b/docker_example/docker-compose.yml index 9a9c435de..a8fddac71 100644 --- a/docker_example/docker-compose.yml +++ b/docker_example/docker-compose.yml @@ -2,7 +2,7 @@ version: "3.8" services: langflow: - image: logspace/langflow:latest + image: langflowai/langflow:latest ports: - "7860:7860" depends_on: diff --git a/docker_example/pre.Dockerfile b/docker_example/pre.Dockerfile index 40fd4ce6d..a72b72595 100644 --- a/docker_example/pre.Dockerfile +++ b/docker_example/pre.Dockerfile @@ -1,3 +1,3 @@ -FROM logspace/langflow:1.0-alpha +FROM langflowai/langflow:1.0-alpha CMD ["python", "-m", "langflow", "run", "--host", "0.0.0.0", "--port", "7860"] diff --git a/docker_example/pre.docker-compose.yml b/docker_example/pre.docker-compose.yml index 577f7bb3a..b2fa00903 100644 --- a/docker_example/pre.docker-compose.yml +++ b/docker_example/pre.docker-compose.yml @@ -2,7 +2,7 @@ version: "3.8" services: langflow: - image: logspace/langflow:1.0-alpha + image: langflowai/langflow:1.0-alpha ports: - "7860:7860" depends_on: diff --git a/docs/docs/guidelines/api.mdx b/docs/docs/administration/api.mdx similarity index 100% rename from docs/docs/guidelines/api.mdx rename to docs/docs/administration/api.mdx diff --git a/docs/docs/guidelines/chat-interface.mdx b/docs/docs/administration/chat-interface.mdx similarity index 100% rename from docs/docs/guidelines/chat-interface.mdx rename to docs/docs/administration/chat-interface.mdx diff --git a/docs/docs/guidelines/chat-widget.mdx b/docs/docs/administration/chat-widget.mdx similarity index 100% rename from docs/docs/guidelines/chat-widget.mdx rename to docs/docs/administration/chat-widget.mdx diff --git a/docs/docs/getting-started/cli.mdx b/docs/docs/administration/cli.mdx similarity index 100% rename from docs/docs/getting-started/cli.mdx rename to docs/docs/administration/cli.mdx diff --git a/docs/docs/guidelines/collection.mdx b/docs/docs/administration/collection.mdx similarity index 100% rename from docs/docs/guidelines/collection.mdx rename to docs/docs/administration/collection.mdx diff --git a/docs/docs/guidelines/components.mdx b/docs/docs/administration/components.mdx similarity index 100% rename from docs/docs/guidelines/components.mdx rename to docs/docs/administration/components.mdx diff --git a/docs/docs/guidelines/custom-component.mdx b/docs/docs/administration/custom-component.mdx similarity index 100% rename from docs/docs/guidelines/custom-component.mdx rename to docs/docs/administration/custom-component.mdx diff --git a/docs/docs/guidelines/features.mdx b/docs/docs/administration/features.mdx similarity index 100% rename from docs/docs/guidelines/features.mdx rename to docs/docs/administration/features.mdx diff --git a/docs/docs/guides/langfuse_integration.mdx b/docs/docs/administration/langfuse_integration.mdx similarity index 100% rename from docs/docs/guides/langfuse_integration.mdx rename to docs/docs/administration/langfuse_integration.mdx diff --git a/docs/docs/guidelines/login.mdx b/docs/docs/administration/login.mdx similarity index 100% rename from docs/docs/guidelines/login.mdx rename to docs/docs/administration/login.mdx diff --git a/docs/docs/guidelines/prompt-customization.mdx b/docs/docs/administration/prompt-customization.mdx similarity index 100% rename from docs/docs/guidelines/prompt-customization.mdx rename to docs/docs/administration/prompt-customization.mdx diff --git a/docs/docs/components/custom.mdx b/docs/docs/components/custom.mdx index bdf631314..babc4cd42 100644 --- a/docs/docs/components/custom.mdx +++ b/docs/docs/components/custom.mdx @@ -12,7 +12,7 @@ To use a custom component, follow these steps: -For an in-depth explanation of custom components, their rules, and applications, make sure to read [Custom Component guidelines](../guidelines/custom-component). +For an in-depth explanation of custom components, their rules, and applications, make sure to read [Custom Component guidelines](../administration/custom-component). @@ -57,7 +57,7 @@ The CustomComponent class serves as the foundation for creating custom component Unlike Langchain types, base Python types do not add a - [handle](../guidelines/components) to the field by default. To add handles, + [handle](../administration/components) to the field by default. To add handles, use the _`input_types`_ key in the _`build_config`_ method. diff --git a/docs/docs/components/inputs.mdx b/docs/docs/components/inputs.mdx index fe8804e43..bc0ddcb0f 100644 --- a/docs/docs/components/inputs.mdx +++ b/docs/docs/components/inputs.mdx @@ -47,7 +47,7 @@ If you expose all its fields, it will look like the image below. style={{ width: "40%", margin: "20px auto" }} /> -One key capability of the Chat Input component is how it transforms the Interaction Panel into a chat window. This feature is particularly useful for scenarios where user input is required to initiate or influence the flow. +One key capability of the Chat Input component is how it transforms the Playground into a chat window. This feature is particularly useful for scenarios where user input is required to initiate or influence the flow. -The Text Input component gives you the possibility to add an Input field on the Interaction Panel. This is useful because it allows you to define parameters while running and testing your flow. +The Text Input component gives you the possibility to add an Input field on the Playground. This is useful because it allows you to define parameters while running and testing your flow. Once a variable is defined in the prompt template, it becomes a component input of its own. Check out [Prompt - Customization](../guidelines/prompt-customization) to learn more. + Customization](../administration/prompt-customization) to learn more. - **template:** Template used to format an individual request. diff --git a/docs/docs/examples/flow-runner.mdx b/docs/docs/examples/flow-runner.mdx index 8a07adb0a..fda7a8d39 100644 --- a/docs/docs/examples/flow-runner.mdx +++ b/docs/docs/examples/flow-runner.mdx @@ -159,7 +159,7 @@ Now, let's add the [parameters](focus://11[20:55]) and the [return type](focus:/ - _`flow_name`_ is the name of the flow we want to run. - _`document`_ is the input document to be passed to that flow. - - Since _`Document`_ is a Langchain type, it will add an input [handle](../guidelines/components) to the component ([see more](../components/custom)). + - Since _`Document`_ is a Langchain type, it will add an input [handle](../administration/components) to the component ([see more](../components/custom)). --- @@ -242,7 +242,7 @@ class FlowRunner(CustomComponent): ``` -You can load this flow using _`get_flow`_ and set a _`tweaks`_ dictionary to customize it. Find more about tweaks in our [features guidelines](../guidelines/features#code). +You can load this flow using _`get_flow`_ and set a _`tweaks`_ dictionary to customize it. Find more about tweaks in our [features guidelines](../administration/features#code). --- diff --git a/docs/docs/getting-started/blog-writer.mdx b/docs/docs/getting-started/blog-writer.mdx deleted file mode 100644 index e69de29bb..000000000 diff --git a/docs/docs/getting-started/document-qa.mdx b/docs/docs/getting-started/document-qa.mdx deleted file mode 100644 index e69de29bb..000000000 diff --git a/docs/docs/getting-started/huggingface-spaces.mdx b/docs/docs/getting-started/huggingface-spaces.mdx new file mode 100644 index 000000000..0bbbb48de --- /dev/null +++ b/docs/docs/getting-started/huggingface-spaces.mdx @@ -0,0 +1,27 @@ +import ThemedImage from "@theme/ThemedImage"; +import useBaseUrl from "@docusaurus/useBaseUrl"; +import ZoomableImage from "/src/theme/ZoomableImage.js"; +import Admonition from "@theme/Admonition"; + +# 🤗 HuggingFace Spaces + +Hugging Face provides a great alternative for running Langflow in their Spaces environment. This means you can run Langflow without any local installation required. + +The first step is to go to the [Langflow Space](https://huggingface.co/spaces/Langflow/Langflow?duplicate=true) or [Langflow 1.0 Preview Space](https://huggingface.co/spaces/Langflow/Langflow-Preview?duplicate=true) + +Remember to use a Chromium-based browser for the best experience. You'll be presented with the following screen: + + + +From here, just name your Space, define the visibility (Public or Private), and click on `Duplicate Space` to start the installation process. When that is done, you'll be redirected to the Space's main page to start using Langflow right away! + +Once you get Langflow running, click on New Project in the top right corner of the screen. Langflow provides a range of example flows to help you get started. + +To quickly try one of them, open a starter example, set up your API keys and click ⚡ Run, on the bottom right corner of the canvas. This will open up Langflow's Interaction Panel with the chat console, text inputs, and outputs. diff --git a/docs/docs/getting-started/install-langflow.mdx b/docs/docs/getting-started/install-langflow.mdx new file mode 100644 index 000000000..4571e2f98 --- /dev/null +++ b/docs/docs/getting-started/install-langflow.mdx @@ -0,0 +1,77 @@ +import ThemedImage from "@theme/ThemedImage"; +import useBaseUrl from "@docusaurus/useBaseUrl"; +import ZoomableImage from "/src/theme/ZoomableImage.js"; +import Admonition from "@theme/Admonition"; + +# 📦 Install Langflow + + + Langflow v1.0 is also available in a [HuggingFace Preview Space](https://huggingface.co/spaces/Langflow/Langflow-Preview?duplicate=true) if you'd rather try it out before installing locally. + + +## Prerequisites + +Langflow requires the following programs installed on your system. + +* [Python 3.10](https://www.python.org/downloads/release/python-3100/) + +* [pip](https://pypi.org/project/pip/) or [pipx](https://pipx.pypa.io/stable/installation/) + +## Install Langflow + +To install Langflow: + +pip: +```bash +python -m pip install langflow -U +``` + +pipx: +```bash +pipx install langflow --python python3.10 --fetch-missing-python +``` +Pipx can fetch the missing Python version for you with `--fetch-missing-python`, but you can also install the Python version manually. + + +## Install Langflow pre-release + +Use `--force-reinstall` to ensure you have the latest version of Langflow and its dependencies. + +To install a pre-release version of Langflow: + +pip: +```bash +python -m pip install langflow --pre --force-reinstall +``` + +pipx: +```bash +pipx install langflow --python python3.10 --fetch-missing-python --pip-args="--pre --force-reinstall" +``` + +## Having a problem? + +If you encounter a problem, see [Possible Installation Issues](/migration/possible-installation-issues). + +To get help in the Langflow CLI: + +```bash +python -m langflow --help +``` + +## ⛓️ Run Langflow + +1. To run Langflow, enter the following command. +```bash +python -m langflow run +``` + +2. Confirm that a local Langflow instance starts by visiting `http://127.0.0.1:7860` in your browser. +```bash +│ Welcome to ⛓ Langflow │ +│ │ +│ Access http://127.0.0.1:7860 │ +│ Collaborate, and contribute at our GitHub Repo 🚀 │ +``` + +3. Continue on to the [Quickstart](./quickstart.mdx). \ No newline at end of file diff --git a/docs/docs/getting-started/memory-chatbot.mdx b/docs/docs/getting-started/memory-chatbot.mdx deleted file mode 100644 index e69de29bb..000000000 diff --git a/docs/docs/getting-started/new-to-llms.mdx b/docs/docs/getting-started/new-to-llms.mdx new file mode 100644 index 000000000..3a38a37f4 --- /dev/null +++ b/docs/docs/getting-started/new-to-llms.mdx @@ -0,0 +1,10 @@ +# 📚 New to LLMs? + +Large Language Models, or LLMs, are part of an exciting new world in computing. + +We made Langflow for anyone to create with LLMs, and hope you'll feel comfortable installing Langflow and [getting started](./quickstart.mdx). + +If you want to learn more about LLMs, prompt engineering, and AI models, Langflow recommends [promptingguide.ai](https://promptingguide.ai), an open-source repository of prompt engineering content maintained by AI experts. +PromptingGuide offers content for [beginners](https://www.promptingguide.ai/introduction/basics) and [experts](https://www.promptingguide.ai/techniques/cot), as well as the latest [research papers](https://www.promptingguide.ai/papers) and [test results](https://www.promptingguide.ai/research) fueling AI's progress. + +Wherever you are on your AI journey, it's helpful to keep Prompting Guide open in a tab. \ No newline at end of file diff --git a/docs/docs/getting-started/quickstart.mdx b/docs/docs/getting-started/quickstart.mdx new file mode 100644 index 000000000..33de2e0d7 --- /dev/null +++ b/docs/docs/getting-started/quickstart.mdx @@ -0,0 +1,119 @@ +import ThemedImage from "@theme/ThemedImage"; +import useBaseUrl from "@docusaurus/useBaseUrl"; +import ZoomableImage from "/src/theme/ZoomableImage.js"; +import ReactPlayer from "react-player"; +import Admonition from "@theme/Admonition"; + +# ⚡️ Quickstart + +This quickstart demonstrates how to install Langflow, run it locally, build a basic prompt flow, and modify that prompt for different outcomes. + +## Prerequisites + +* [Python 3.10](https://www.python.org/downloads/release/python-3100/) + +* [pip](https://pypi.org/project/pip/) or [pipx](https://pipx.pypa.io/stable/installation/) + +* [OpenAI API key](https://platform.openai.com) + +## Install Langflow + + + Langflow v1.0 is also available in a [HuggingFace Preview Space](https://huggingface.co/spaces/Langflow/Langflow-Preview?duplicate=true) if you'd rather try it out before installing locally. This quickstart will run there, too. + + +1. To install Langflow, enter the following command in pip or pipx: + +pip: +```bash +python -m pip install langflow -U +``` + +pipx: +```bash +pipx install langflow --python python3.10 --fetch-missing-python +``` +Pipx can fetch the missing Python version for you with `--fetch-missing-python`, but you can also install the Python version manually. + +2. Start a local Langflow instance with the Langflow CLI: +```bash +langflow run +``` + +Or start Langflow with Python: +```bash +python -m langflow run +``` + +Result: +``` +│ Welcome to ⛓ Langflow │ +│ │ +│ Access http://127.0.0.1:7860 │ +│ Collaborate, and contribute at our GitHub Repo 🚀 │ +``` + +3. Go to `http://127.0.0.1:7860` and confirm the Langflow UI is available. + + + If you encounter a problem, see [Possible Installation Issues](/migration/possible-installation-issues). + + +## Create the basic prompting project + +Now that you have Langflow installed and running, let us formally welcome you to Langflow!👋 + +You will use Langflow's prompt tools to issue prompts to the OpenAI LLM. + +Prompts serve as the inputs to a large language model (LLM), acting as the interface between human instructions and computational tasks. + +By submitting natural language requests in a prompt to an LLM, you can obtain answers, generate text, and solve problems. + +1. From the Langflow dashboard, click **New Project**. +2. Select **Basic Prompting**. +3. The **Basic Prompting** flow is created. + + + +This flow allows you to chat with the **OpenAI** component via a **Prompt** component. +Examine the **Prompt** component. The **Template** field instructs the LLM to `Answer the user as if you were a pirate.` +This should be interesting... + +4. To create an environment variable for the **OpenAI** component, in the **OpenAI API Key** field, click the **Globe** button, and then click **Add New Variable**. + 1. In the **Variable Name** field, enter `openai_api_key`. + 2. In the **Value** field, paste your OpenAI API Key (`sk-...`). + 3. Click **Save Variable**. + +## Run the basic prompting flow + +1. Click the **Run** button. +The **Interaction Panel** opens, where you can converse with your bot. +2. Type a message and press Enter. +The bot responds in a markedly piratical manner! + +## Modify the prompt for a different result + +1. To modify your prompt results, in the **Prompt** template, click the **Template** field. +The **Edit Prompt** window opens. +2. Change `Answer the user as if you were a pirate` to a different character, perhaps `Answer the user as if you were Harold Abelson.` +3. Run the basic prompting flow again. +The response will be markedly different. + +## Next steps + +Well done! You've built your first prompt in Langflow. 🎉 + +By adding Langflow components to this prompt, you can build all sorts of interesting flows. + +* [Memory chatbot](/starter-projects/memory-chatbot.mdx) +* [Blog writer](/starter-projects/blog-writer.mdx) +* [Document QA](/starter-projects/document-qa.mdx) + + diff --git a/docs/docs/getting-started/rag-with-astradb.mdx b/docs/docs/getting-started/rag-with-astradb.mdx index 01daa7b6f..8cb2593c9 100644 --- a/docs/docs/getting-started/rag-with-astradb.mdx +++ b/docs/docs/getting-started/rag-with-astradb.mdx @@ -130,18 +130,18 @@ And run it! This will ingest the Text data from your file into the Astra DB data style={{ width: "80%", margin: "20px auto" }} /> -Now, on to the **RAG Flow**. This flow is responsible for generating responses to your queries. It will define all of the steps from getting the User's input to generating a response and displaying it in the Interaction Panel. +Now, on to the **RAG Flow**. This flow is responsible for generating responses to your queries. It will define all of the steps from getting the User's input to generating a response and displaying it in the Playground. The RAG flow is a bit more complex. It consists of: -- **Chat Input** component that defines where to put the user input coming from the Interaction Panel +- **Chat Input** component that defines where to put the user input coming from the Playground - **OpenAI Embeddings** component that generates embeddings from the user input - **Astra DB Search** component that retrieves the most relevant Records from the Astra DB database -- **Text Output** component that turns the Records into Text by concatenating them and also displays it in the Interaction Panel - - One interesting point you'll see here is that this component is named `Extracted Chunks`, and that is how it will appear in the Interaction Panel +- **Text Output** component that turns the Records into Text by concatenating them and also displays it in the Playground + - One interesting point you'll see here is that this component is named `Extracted Chunks`, and that is how it will appear in the Playground - **Prompt** component that takes in the user input and the retrieved Records as text and builds a prompt for the OpenAI model - **OpenAI** component that generates a response to the prompt -- **Chat Output** component that displays the response in the Interaction Panel +- **Chat Output** component that displays the response in the Playground -This opens the Interaction Panel where you can chat your data. +This opens the Playground where you can chat your data. Because this flow has a **Chat Input** and a **Text Output** component, the Panel displays a chat input at the bottom and the Extracted Chunks section on the left. diff --git a/docs/docs/guides/basic-prompting.mdx b/docs/docs/guides/basic-prompting.mdx deleted file mode 100644 index e69de29bb..000000000 diff --git a/docs/docs/guides/blog-writer.mdx b/docs/docs/guides/blog-writer.mdx deleted file mode 100644 index e69de29bb..000000000 diff --git a/docs/docs/guides/document-qa.mdx b/docs/docs/guides/document-qa.mdx deleted file mode 100644 index e69de29bb..000000000 diff --git a/docs/docs/guides/memory-chatbot.mdx b/docs/docs/guides/memory-chatbot.mdx deleted file mode 100644 index e69de29bb..000000000 diff --git a/docs/docs/index.mdx b/docs/docs/index.mdx index 7ee26d0e0..538592005 100644 --- a/docs/docs/index.mdx +++ b/docs/docs/index.mdx @@ -5,7 +5,9 @@ import Admonition from "@theme/Admonition"; # 👋 Welcome to Langflow -Langflow is an easy way to build from simple to complex AI applications. It is a low-code platform that allows you to integrate AI into everything you do. +Langflow is a low-code platform that allows you to integrate AI into everything you do. + +Use Langflow's simple but powerful UI to build any AI application you can dream up, from simple to complex. {" "} @@ -20,96 +22,17 @@ Langflow is an easy way to build from simple to complex AI applications. It is a ## 🚀 First steps -## Installation +- [Install Langflow](/getting-started/install-langflow) - Install and start a local Langflow server. -Make sure you have **Python 3.10** installed on your system. +- [Quickstart](/getting-started/quickstart) - Install Langflow, create a flow, and run it. -You can install **Langflow** with [pipx](https://pipx.pypa.io/stable/installation/) or with pip. +- [HuggingFace Spaces](/getting-started/huggingface-spaces) - Duplicate the Langflow preview space and try it out before you install. -Pipx can fetch the missing Python version for you, but you can also install it manually. +- [New to LLMs?](/getting-started/new-to-llms) - Learn more about LLMs, prompting, and more at [promptingguide.ai](https://promptingguide.ai). -```bash -# Remember to check if you have Python 3.10 installed -python -m pip install langflow -U -# or -pipx install langflow --python python3.10 --fetch-missing-python -``` +## Learn more about Langflow 1.0 -Or you can install a pre-release version using: +Learn more about the exciting changes in Langflow 1.0, and how to migrate your existing Langflow projects. -```bash -python -m pip install langflow --pre --force-reinstall -# or -pipx install langflow --python python3.10 --fetch-missing-python --pip-args="--pre --force-reinstall" -``` - - -

- Please, check out our [Possible Installation Issues - section](/migration/possible-installation-issues) if you encounter any - problems. -

- - -We recommend using --force-reinstall to ensure you have the latest version of Langflow and its dependencies. - -### ⛓️ Running Langflow - -Langflow can be run in a variety of ways, including using the command-line interface (CLI) or HuggingFace Spaces. - -```bash -python -m langflow run # or langflow --help -``` - -#### 🤗 HuggingFace Spaces - -Hugging Face provides a great alternative for running Langflow in their Spaces environment. This means you can run Langflow without any local installation required. - -The first step is to go to the [Langflow Space](https://huggingface.co/spaces/Langflow/Langflow?duplicate=true) or [Langflow 1.0 Preview Space](https://huggingface.co/spaces/Langflow/Langflow-Preview?duplicate=true) - -Remember to use a Chromium-based browser for the best experience. You'll be presented with the following screen: - - - -From here, just name your Space, define the visibility (Public or Private), and click on `Duplicate Space` to start the installation process. When that is done, you'll be redirected to the Space's main page to start using Langflow right away! - -Once you get Langflow running, click on New Project in the top right corner of the screen. Langflow provides a range of example flows to help you get started. - -To quickly try one of them, open a starter example, set up your API keys and click ⚡ Run, on the bottom right corner of the canvas. This will open up Langflow's Interaction Panel with the chat console, text inputs, and outputs. - -### 🖥️ Command Line Interface (CLI) - -Langflow provides a command-line interface (CLI) for easy management and configuration. - -#### Usage - -You can run the Langflow using the following command: - -```bash -langflow run [OPTIONS] -``` - -Find more information about the available options by running: - -```bash -python -m langflow --help -``` - -## Find out more about 1.0 - - -

- We are currently working on updating the documentation for Langflow 1.0. -

- - -To get you learning more about what's new and why you should be excited about Langflow 1.0, -go to [A new chapter for Langflow](/whats-new/a-new-chapter-langflow) and also come back often -to check out our [migration guides](/whats-new/migrating-to-one-point-zero) as we release them. +- [A new chapter for Langflow](/whats-new/a-new-chapter-langflow) +- [Migration guides](/migration/migrating-to-one-point-zero) diff --git a/docs/docs/migration/inputs-and-outputs.mdx b/docs/docs/migration/inputs-and-outputs.mdx index 5db3f3af2..1e1745347 100644 --- a/docs/docs/migration/inputs-and-outputs.mdx +++ b/docs/docs/migration/inputs-and-outputs.mdx @@ -1,7 +1,7 @@ # Inputs and Outputs TL;DR: Inputs and Outputs are a category of components that are used to define where data comes in and out of your flow. They also -dynamically change the Interaction Panel and can be renamed to make it easier to build and maintain your flows. +dynamically change the Playground and can be renamed to make it easier to build and maintain your flows. ## Introduction @@ -10,8 +10,8 @@ Langflow 1.0 introduces new categories of components called Inputs and Outputs. Let's start with what they have in common: - Components in these categories connect to components that have Text or Record inputs or outputs. Some can connect to both but you have to pick what type of data you want to output or input. -- They can be renamed to help you identify them more easily in the Interaction Panel and while using the API. -- They dynamically change the Interaction Panel to make it easier to understand and interact with your flows. +- They can be renamed to help you identify them more easily in the Playground and while using the API. +- They dynamically change the Playground to make it easier to understand and interact with your flows. Native Langflow Components were created to be powerful tools that work around Langflow's features. They are designed to be easy to use and understand, and to help you build your flows faster. @@ -21,7 +21,7 @@ Let's dive into Inputs and Outputs. Inputs are components that are used to define where data comes into your flow. They can be used to receive data from the user, from a database, or from any other source that can be converted to Text or Record. -The difference between Chat Input and other Input components is the format of the output, the number of configurable fields, and the way they are displayed in the Interaction Panel. +The difference between Chat Input and other Input components is the format of the output, the number of configurable fields, and the way they are displayed in the Playground. Chat Input components can output Text or Record. When you want to pass the sender name, or sender to the next component, you can use the Record output, and when you want to pass the message only you can use the Text output. This is useful when saving the message to a database or a memory system like Zep. @@ -29,7 +29,7 @@ You can find out more about it and the other Inputs [here](../components/inputs) ## Outputs -Outputs are components that are used to define where data comes out of your flow. They can be used to send data to the user, to the Interaction Panel, or to define how the data will be displayed in the Interaction Panel. +Outputs are components that are used to define where data comes out of your flow. They can be used to send data to the user, to the Playground, or to define how the data will be displayed in the Playground. The Chat Output works similarly to the Chat Input but does not have a field that allows for written input. It is used as an Output definition and can be used to send data to the user. diff --git a/docs/docs/whats-new/migrating-to-one-point-zero.mdx b/docs/docs/migration/migrating-to-one-point-zero.mdx similarity index 99% rename from docs/docs/whats-new/migrating-to-one-point-zero.mdx rename to docs/docs/migration/migrating-to-one-point-zero.mdx index c140bdf94..827f0e118 100644 --- a/docs/docs/whats-new/migrating-to-one-point-zero.mdx +++ b/docs/docs/migration/migrating-to-one-point-zero.mdx @@ -55,7 +55,7 @@ Langflow 1.0 continues to support LangChain while also introducing support for m **Guide coming soon** -## Sidebar Redesign and Customizable Interaction Panel +## Sidebar Redesign and Customizable Playground We've expanded on the chat experience by creating a customizable interaction panel that allows you to design a panel that fits your needs and interact with it. The sidebar has also been redesigned to provide a more intuitive and user-friendly experience. Explore the new sidebar and interaction panel features to enhance your workflow. diff --git a/docs/docs/migration/possible-installation-issues.mdx b/docs/docs/migration/possible-installation-issues.mdx index 522ca76ce..e44ea7772 100644 --- a/docs/docs/migration/possible-installation-issues.mdx +++ b/docs/docs/migration/possible-installation-issues.mdx @@ -25,3 +25,16 @@ For this error to occur, two scenarios are possible: In this case, you might not be running the correct executable. To solve this issue, you can run the correct executable by running _`python -m langflow run`_ instead of _`langflow run`_ and if that doesn't work, you can try uninstalling langflow and reinstalling it using _`python -m pip install langflow --pre -U`_. 2. Some version conflicts might have occurred during the installation process. Run _`python -m pip install langflow --pre -U --force-reinstall`_ to reinstall langflow and its dependencies. + +## _`Something went wrong running migrations. Please, run 'langflow migration --fix'`_ + +TLDR; + +- Clear the cache by deleting the contents of the cache folder. +This folder can be found at: + - **Linux or WSL2 on Windows**: `home//.cache/langflow/` + - **MacOS**: `/Users//Library/Caches/langflow/` + +If you wish to retain your files, ensure to back them up before clearing the folder. + +This error often occurs when upgrading Langflow, the new version can't override `langflow-pre.db` in `.cache/langflow/`. Clearing the cache removes this file but will also erase your settings. \ No newline at end of file diff --git a/docs/docs/starter-projects/basic-prompting.mdx b/docs/docs/starter-projects/basic-prompting.mdx new file mode 100644 index 000000000..08ec0259e --- /dev/null +++ b/docs/docs/starter-projects/basic-prompting.mdx @@ -0,0 +1,83 @@ +import ThemedImage from "@theme/ThemedImage"; +import useBaseUrl from "@docusaurus/useBaseUrl"; +import ZoomableImage from "/src/theme/ZoomableImage.js"; +import ReactPlayer from "react-player"; + +# Basic prompting + +Prompts serve as the inputs to a large language model (LLM), acting as the interface between human instructions and computational tasks. + +By submitting natural language requests in a prompt to an LLM, you can obtain answers, generate text, and solve problems. + +This article demonstrates how to use Langflow's prompt tools to issue basic prompts to an LLM, and how various prompting strategies can affect your outcomes. + +## Prerequisites + +1. Install Langflow. +```bash +python -m pip install langflow --pre +``` + +2. Start a local Langflow instance with the Langflow CLI: +```bash +langflow run +``` +Or start Langflow with Python: +```bash +python -m langflow run +``` + +Result: +``` +│ Welcome to ⛓ Langflow │ +│ │ +│ Access http://127.0.0.1:7860 │ +│ Collaborate, and contribute at our GitHub Repo 🚀 │ +``` + +Alternatively, go to [HuggingFace Spaces](https://docs.langflow.org/getting-started/hugging-face-spaces) or [Lightning.ai Studio](https://lightning.ai/ogabrielluiz-8j6t8/studios/langflow) for a pre-built Langflow test environment. + +3. Create an [OpenAI API key](https://platform.openai.com). + +## Create the basic prompting project + +1. From the Langflow dashboard, click **New Project**. +2. Select **Basic Prompting**. +3. The **Basic Prompting** flow is created. + + + +This flow allows you to chat with the **OpenAI** component via a **Prompt** component. +Examine the **Prompt** component. The **Template** field instructs the LLM to `Answer the user as if you were a pirate.` +This should be interesting... + +4. To create an environment variable for the **OpenAI** component, in the **OpenAI API Key** field, click the **Globe** button, and then click **Add New Variable**. + 1. In the **Variable Name** field, enter `openai_api_key`. + 2. In the **Value** field, paste your OpenAI API Key (`sk-...`). + 3. Click **Save Variable**. + +## Run the basic prompting flow + +1. Click the **Run** button. +The **Interaction Panel** opens, where you can converse with your bot. +2. Type a message and press Enter. +The bot responds in a markedly piratical manner! + +## Modify the prompt for a different result + +1. To modify your prompt results, in the **Prompt** template, click the **Template** field. +The **Edit Prompt** window opens. +2. Change `Answer the user as if you were a pirate` to a different character, perhaps `Answer the user as if you were Harold Abelson.` +3. Run the basic prompting flow again. +The response will be markedly different. + + + + diff --git a/docs/docs/starter-projects/blog-writer.mdx b/docs/docs/starter-projects/blog-writer.mdx new file mode 100644 index 000000000..7b336e7ba --- /dev/null +++ b/docs/docs/starter-projects/blog-writer.mdx @@ -0,0 +1,92 @@ +import ThemedImage from "@theme/ThemedImage"; +import useBaseUrl from "@docusaurus/useBaseUrl"; +import ZoomableImage from "/src/theme/ZoomableImage.js"; +import ReactPlayer from "react-player"; +import Admonition from "@theme/Admonition"; + +# Blog writer + +Build a blog writer with OpenAI that uses URLs for reference content. + +## Prerequisites + +1. Install Langflow. +```bash +python -m pip install langflow --pre +``` + +2. Start a local Langflow instance with the Langflow CLI: +```bash +langflow run +``` +Or start Langflow with Python: +```bash +python -m langflow run +``` + +Result: +```bash +│ Welcome to ⛓ Langflow │ +│ │ +│ Access http://127.0.0.1:7860 │ +│ Collaborate, and contribute at our GitHub Repo 🚀 │ +``` + +Alternatively, go to [HuggingFace Spaces](https://docs.langflow.org/getting-started/hugging-face-spaces) or [Lightning.ai Studio](https://lightning.ai/ogabrielluiz-8j6t8/studios/langflow) for a pre-built Langflow test environment. + +3. Create an [OpenAI API key](https://platform.openai.com). + +## Create the Blog Writer project + +1. From the Langflow dashboard, click **New Project**. +2. Select **Blog Writer**. +3. The **Blog Writer** flow is created. + + + +This flow creates a one-shot prompt flow with **Prompt**, **OpenAI**, and **Chat Output** components, and augments the flow with reference content and instructions from the **URL** and **Instructions** components. + +The **Prompt** component's default **Template** field looks like this: +```bash +Reference 1: + +{reference_1} + +--- + +Reference 2: + +{reference_2} + +--- + +{instructions} + +Blog: + +``` + +The `{instructions}` value is received from the **Value** field of the **Instructions** component. +The `reference_1` and `reference_2` values are received from the **URL** fields of the **URL** components. + +4. To create an environment variable for the **OpenAI** component, in the **OpenAI API Key** field, click the **Globe** button, and then click **Add New Variable**. + 1. In the **Variable Name** field, enter `openai_api_key`. + 2. In the **Value** field, paste your OpenAI API Key (`sk-...`). + 3. Click **Save Variable**. + +## Run the Blog Writer flow + +1. Click the **Run** button. +The **Interaction Panel** opens, where you can run your one-shot flow. +2. Click the **Lighting Bolt** icon to run your flow. +3. The **OpenAI** component constructs a blog post with the **URL** items as context. +The default **URL** values are for web pages at `promptingguide.ai`, so your blog post will be about prompting LLMs. + +To write about something different, change the values in the **URL** components, and see what the LLM constructs. \ No newline at end of file diff --git a/docs/docs/starter-projects/document-qa.mdx b/docs/docs/starter-projects/document-qa.mdx new file mode 100644 index 000000000..105753b99 --- /dev/null +++ b/docs/docs/starter-projects/document-qa.mdx @@ -0,0 +1,82 @@ +import ThemedImage from "@theme/ThemedImage"; +import useBaseUrl from "@docusaurus/useBaseUrl"; +import ZoomableImage from "/src/theme/ZoomableImage.js"; +import ReactPlayer from "react-player"; +import Admonition from "@theme/Admonition"; + +# Document QA + +Build a question-and-answer chatbot with a document loaded from local memory. + +## Prerequisites + +1. Install Langflow. +```bash +python -m pip install langflow --pre +``` + +2. Start a local Langflow instance with the Langflow CLI: +```bash +langflow run +``` +Or start Langflow with Python: +```bash +python -m langflow run +``` + +Result: +``` +│ Welcome to ⛓ Langflow │ +│ │ +│ Access http://127.0.0.1:7860 │ +│ Collaborate, and contribute at our GitHub Repo 🚀 │ +``` + +Alternatively, go to [HuggingFace Spaces](https://docs.langflow.org/getting-started/hugging-face-spaces) or [Lightning.ai Studio](https://lightning.ai/ogabrielluiz-8j6t8/studios/langflow) for a pre-built Langflow test environment. + +3. Create an [OpenAI API key](https://platform.openai.com). + +## Create the Document QA project + +1. From the Langflow dashboard, click **New Project**. +2. Select **Document QA**. +3. The **Document QA** flow is created. + + + +This flow creates a basic chatbot with the **Chat Input**, **Prompt**, **OpenAI**, and **Chat Output** components. +This chatbot is augmented with the **Files** component, which loads a file from your local machine into the **Prompt** component as `{Document}`. +The **Prompt** component is instructed to answer questions based on the contents of `{Document}`. +Including a file with the prompt gives the **OpenAI** component context it may not otherwise have access to. + +4. To create an environment variable for the **OpenAI** component, in the **OpenAI API Key** field, click the **Globe** button, and then click **Add New Variable**. + 1. In the **Variable Name** field, enter `openai_api_key`. + 2. In the **Value** field, paste your OpenAI API Key (`sk-...`). + 3. Click **Save Variable**. + +5. To select a document to load, in the **Files** component, click within the **Path** field. + 1. Select a local file, and then click **Open**. + 2. The file name appears in the field. + + The file must be of an extension type listed [here](https://github.com/langflow-ai/langflow/blob/dev/src/backend/base/langflow/base/data/utils.py#L13). + + +## Run the Document QA flow + +1. Click the **Run** button. +The **Interaction Panel** opens, where you can converse with your bot. +2. Type a message and press Enter. +For this example, we loaded an error log `.txt` file and asked, "What went wrong?" +The bot responded: +``` +The issue occurred during the execution of migrations in the application. Specifically, an error was raised by the Alembic library, indicating that new upgrade operations were detected that had not been accounted for in the existing migration scripts. The operation in question involved modifying the nullable property of a column (apikey, created_at) in the database, with details about the existing type (DATETIME()), existing server default, and other properties. +``` + +This result indicates that the bot received the loaded document and understood the context surrounding the vague question. It also correctly identified the issue in the error log, and followed up with appropriate troubleshooting suggestions. Nice! diff --git a/docs/docs/starter-projects/memory-chatbot.mdx b/docs/docs/starter-projects/memory-chatbot.mdx new file mode 100644 index 000000000..227b530ea --- /dev/null +++ b/docs/docs/starter-projects/memory-chatbot.mdx @@ -0,0 +1,99 @@ +import ThemedImage from "@theme/ThemedImage"; +import useBaseUrl from "@docusaurus/useBaseUrl"; +import ZoomableImage from "/src/theme/ZoomableImage.js"; +import ReactPlayer from "react-player"; + +# Memory chatbot + +This flow extends the [basic prompting flow](./basic-prompting.mdx) to include chat memory for unique SessionIDs. + +## Prerequisites + +1. Install Langflow. +```bash +python -m pip install langflow --pre +``` + +2. Start a local Langflow instance with the Langflow CLI: +```bash +langflow run +``` +Or start Langflow with Python: +```bash +python -m langflow run +``` + +Result: +``` +│ Welcome to ⛓ Langflow │ +│ │ +│ Access http://127.0.0.1:7860 │ +│ Collaborate, and contribute at our GitHub Repo 🚀 │ +``` + +Alternatively, go to [HuggingFace Spaces](https://docs.langflow.org/getting-started/hugging-face-spaces) or [Lightning.ai Studio](https://lightning.ai/ogabrielluiz-8j6t8/studios/langflow) for a pre-built Langflow test environment. + +3. Create an [OpenAI API key](https://platform.openai.com). + +## Create the memory chatbot project + +1. From the Langflow dashboard, click **New Project**. +2. Select **Memory Chatbot**. +3. The **Memory Chatbot** flow is created. + + + +This flow creates a basic chatbot with the **Chat Input**, **Prompt**, and **OpenAI** components. +This chatbot is augmented with the **Chat Memory** component, which stores messages submitted via **Chat Input** and prepends them to subsequent prompts to OpenAI via `{context}`. +The **Chat History** component gives the **OpenAI** component a memory of previous questions. + +4. To create an environment variable for the **OpenAI** component, in the **OpenAI API Key** field, click the **Globe** button, and then click **Add New Variable**. + 1. In the **Variable Name** field, enter `openai_api_key`. + 2. In the **Value** field, paste your OpenAI API Key (`sk-...`). + 3. Click **Save Variable**. + +## Run the memory chatbot flow + +1. Click the **Run** button. +The **Interaction Panel** opens, where you can converse with your bot. +2. Type a message and press Enter. +The bot will respond according to the template in the **Prompt** component. +3. Type more questions. In the **Outputs** log, your queries are logged in order. Up to 5 queries are stored by default. Try asking `What is the first subject I asked you about?` to see where the LLM's memory disappears. + +## Modify the Session ID field to have multiple conversations + +`SessionID` is a unique identifier in Langchain for a conversation session between a chatbot and a client. +A `SessionID` is created when a conversation is initiated, and then associated with all subsequent messages during that session. + +In the **Memory Chatbot** flow you created, the **Chat Memory** component references past interactions with **Chat Input** by **Session ID**. +You can demonstrate this by modifying the **Session ID** value to switch between conversation histories. + +1. In the **Session ID** field of the **Chat Memory** and **Chat Input** components, change the **Session ID** value from `MySessionID` to `AnotherSessionID`. +2. Click the **Run** button to run your flow. +In the **Interaction Panel**, you will have a new conversation. (You may need to clear the cache with the **Eraser** button). +3. Type a few questions to your bot. +4. In the **Session ID** field of the **Chat Memory** and **Chat Input** components, change the **Session ID** value back to `MySessionID`. +5. Run your flow. +The **Outputs** log of the **Interaction Panel** displays the history from your initial chat with `MySessionID`. + +## Store Session ID as a Langflow variable + +To store **Session ID** as a Langflow variable, in the **Session ID** field, click the **Globe** button, and then click **Add New Variable**. + +1. In the **Variable Name** field, enter a name like `customer_chat_emea`. +2. In the **Value** field, enter a value like `1B5EBD79-6E9C-4533-B2C8-7E4FF29E983B`. +3. Click **Save Variable**. +4. Apply this variable to **Chat Input**. + diff --git a/docs/docs/guides/chatprompttemplate_guide.mdx b/docs/docs/tutorials/chatprompttemplate_guide.mdx similarity index 100% rename from docs/docs/guides/chatprompttemplate_guide.mdx rename to docs/docs/tutorials/chatprompttemplate_guide.mdx diff --git a/docs/docs/guides/loading_document.mdx b/docs/docs/tutorials/loading_document.mdx similarity index 100% rename from docs/docs/guides/loading_document.mdx rename to docs/docs/tutorials/loading_document.mdx diff --git a/docs/docs/guides/rag-with-astradb.mdx b/docs/docs/tutorials/rag-with-astradb.mdx similarity index 96% rename from docs/docs/guides/rag-with-astradb.mdx rename to docs/docs/tutorials/rag-with-astradb.mdx index d04b0c698..09395c598 100644 --- a/docs/docs/guides/rag-with-astradb.mdx +++ b/docs/docs/tutorials/rag-with-astradb.mdx @@ -121,18 +121,18 @@ And run it! This will ingest the Text data from your file into the Astra DB data style={{ width: "80%", margin: "20px auto" }} /> -Now, on to the **RAG Flow**. This flow is responsible for generating responses to your queries. It will define all of the steps from getting the User's input to generating a response and displaying it in the Interaction Panel. +Now, on to the **RAG Flow**. This flow is responsible for generating responses to your queries. It will define all of the steps from getting the User's input to generating a response and displaying it in the Playground. The RAG flow is a bit more complex. It consists of: -- **Chat Input** component that defines where to put the user input coming from the Interaction Panel +- **Chat Input** component that defines where to put the user input coming from the Playground - **OpenAI Embeddings** component that generates embeddings from the user input - **Astra DB Search** component that retrieves the most relevant Records from the Astra DB database -- **Text Output** component that turns the Records into Text by concatenating them and also displays it in the Interaction Panel - - One interesting point you'll see here is that this component is named `Extracted Chunks`, and that is how it will appear in the Interaction Panel +- **Text Output** component that turns the Records into Text by concatenating them and also displays it in the Playground + - One interesting point you'll see here is that this component is named `Extracted Chunks`, and that is how it will appear in the Playground - **Prompt** component that takes in the user input and the retrieved Records as text and builds a prompt for the OpenAI model - **OpenAI** component that generates a response to the prompt -- **Chat Output** component that displays the response in the Interaction Panel +- **Chat Output** component that displays the response in the Playground -This opens the Interaction Panel where you can chat your data. +This opens the Playground where you can chat your data. Because this flow has a **Chat Input** and a **Text Output** component, the Panel displays a chat input at the bottom and the Extracted Chunks section on the left. diff --git a/docs/docs/whats-new/a-new-chapter-langflow.mdx b/docs/docs/whats-new/a-new-chapter-langflow.mdx index bc3e498ba..3ff74ffb2 100644 --- a/docs/docs/whats-new/a-new-chapter-langflow.mdx +++ b/docs/docs/whats-new/a-new-chapter-langflow.mdx @@ -36,18 +36,18 @@ The caveat is existing projects may need some new Components to get them back to ## Custom Interactions The moment we decided to make this change, we saw the potential to make Langflow even more yours. -By having a clear definition of Inputs and Outputs, we could build the experience around that which led us to create the **Interaction Panel**. +By having a clear definition of Inputs and Outputs, we could build the experience around that which led us to create the **Playground**. -When building a project testing and debugging is crucial. The Interaction Panel is a tool that changes dynamically based on the Inputs and Outputs you defined in your project. +When building a project testing and debugging is crucial. The Playground is a tool that changes dynamically based on the Inputs and Outputs you defined in your project. For example, let's say you are building a simple RAG application. Generally, you have an Input, some references that come from a Vector Store Search, a Prompt and the answer. -Now, you could plug the output of your Prompt into a [Text Output](../components/outputs#Text-Output), rename that to "Prompt Result" and see the output of your Prompt in the Interaction Panel. +Now, you could plug the output of your Prompt into a [Text Output](../components/outputs#Text-Output), rename that to "Prompt Result" and see the output of your Prompt in the Playground. {/* Add image here of the described above */} -This is just one example of how the Interaction Panel can help you build and debug your projects. +This is just one example of how the Playground can help you build and debug your projects. -We have many planned features for the Interaction Panel, and we're excited to see how you use it and what you think of it. +We have many planned features for the Playground, and we're excited to see how you use it and what you think of it. ## An easier start @@ -61,11 +61,11 @@ We wanted to create start projects that would help you learn about new features For now, we have: -- **[Basic Prompting (Hello, World)](/guides/basic-prompting)**: A simple flow that shows you how to use the Prompt Component and how to talk like a pirate. -- **[Vector Store RAG](/guides/rag-with-astradb)**: A flow that shows you how to ingest data into a Vector Store and then use it to run a RAG application. -- **[Memory Chatbot](/guides/memory-chatbot)**: This one shows you how to create a simple chatbot that can remember things about the user. -- **[Document QA](/guides/document-qa)**: This flow shows you how to build a simple flow that helps you get answers about a document. -- **[Blog Writer](/guides/blog-writer)**: Shows you how you can expand on the Prompt variables and be creative about what inputs you add to it. +- **[Basic Prompting (Hello, World)](/starter-projects/basic-prompting)**: A simple flow that shows you how to use the Prompt Component and how to talk like a pirate. +- **[Vector Store RAG](/tutorials/rag-with-astradb)**: A flow that shows you how to ingest data into a Vector Store and then use it to run a RAG application. +- **[Memory Chatbot](/starter-projects/memory-chatbot)**: This one shows you how to create a simple chatbot that can remember things about the user. +- **[Document QA](/starter-projects/document-qa)**: This flow shows you how to build a simple flow that helps you get answers about a document. +- **[Blog Writer](/starter-projects/blog-writer)**: Shows you how you can expand on the Prompt variables and be creative about what inputs you add to it. As always, your feedback is invaluable, so please let us know what you think of the new starter projects and what you would like to see in the future. diff --git a/docs/sidebars.js b/docs/sidebars.js index 74c3dc4c8..a8a673610 100644 --- a/docs/sidebars.js +++ b/docs/sidebars.js @@ -2,74 +2,49 @@ module.exports = { docs: [ { type: "category", - label: " Getting Started", + label: "What's New?", + collapsed: false, + items: [ + "whats-new/a-new-chapter-langflow" + ], + }, + { + type: "category", + label: "Getting Started", collapsed: false, items: [ "index", - "getting-started/cli", - // "guides/basic-prompting", - // "guides/document-qa", - // "guides/blog-writer", - // "guides/memory-chatbot", - "guides/rag-with-astradb", + "getting-started/install-langflow", + "getting-started/quickstart", + "getting-started/huggingface-spaces", + "getting-started/new-to-llms" ], }, { type: "category", - label: " What's New", + label: "Starter Projects", collapsed: false, items: [ - "whats-new/a-new-chapter-langflow", - "whats-new/migrating-to-one-point-zero", + "starter-projects/basic-prompting", + "starter-projects/blog-writer", + "starter-projects/document-qa", + "starter-projects/memory-chatbot" ], }, - { type: "category", - label: " Migration Guides", + label: "Administration", collapsed: false, items: [ - "migration/possible-installation-issues", - // "migration/flow-of-data", - "migration/inputs-and-outputs", - // "migration/supported-frameworks", - // "migration/sidebar-and-interaction-panel", - // "migration/new-categories-and-components", - "migration/text-and-record", - // "migration/custom-component", - "migration/compatibility", - // "migration/multiple-flows", - // "migration/component-status-and-data-passing", - // "migration/connecting-output-components", - // "migration/renaming-and-editing-components", - // "migration/passing-tweaks-and-inputs", - "migration/global-variables", - // "migration/experimental-components", - // "migration/state-management", + "administration/login", + "administration/api", + "administration/cli", + "administration/components", + "administration/collection", + "administration/prompt-customization", + "administration/langfuse_integration" ], }, - { - type: "category", - label: "Guidelines", - collapsed: false, - items: [ - "guidelines/login", - "guidelines/api", - "guidelines/components", - // "guidelines/features", - "guidelines/collection", - "guidelines/prompt-customization", - // "guidelines/chat-interface", - // "guidelines/chat-widget", - // "guidelines/custom-component", - ], - }, - { - type: "category", - label: "Extended Components", - collapsed: false, - items: ["guides/langfuse_integration"], - }, { type: "category", label: "Core Components", @@ -82,45 +57,69 @@ module.exports = { "components/helpers", "components/vector-stores", "components/embeddings", + "components/custom" ], }, { type: "category", label: "Extended Components", - collapsed: false, + collapsed: true, items: [ "components/agents", "components/chains", - "components/loaders", "components/experimental", "components/utilities", - "components/memories", "components/model_specs", "components/retrievers", "components/text-splitters", "components/toolkits", - "components/tools", + "components/tools" + ], + }, + { + type: "category", + label: "Example Components", + collapsed: true, + items: [ + "examples/flow-runner", + "examples/conversation-chain", + "examples/buffer-memory", + "examples/csv-loader", + "examples/searchapi-tool", + "examples/serp-api-tool", + "examples/python-function" + ], + }, + { + type: "category", + label: "Migration Guides", + collapsed: false, + items: [ + "migration/possible-installation-issues", + "migration/migrating-to-one-point-zero", + "migration/inputs-and-outputs", + "migration/text-and-record", + "migration/compatibility", + "migration/global-variables" + ] + }, + { + type: "category", + label: "Tutorials", + collapsed: true, + items: [ + "tutorials/chatprompttemplate_guide", + "tutorials/loading_document", + "tutorials/rag-with-astradb" ], }, - // { - // type: "category", - // label: "Examples", - // collapsed: false, - // items: [ - // // "examples/flow-runner", - // // "examples/conversation-chain", - // // "examples/buffer-memory", - // // "examples/csv-loader", - // // "examples/searchapi-tool", - // // "examples/serp-api-tool", - // // "examples/python-function", - // ], - // }, { type: "category", label: "Deployment", - collapsed: false, - items: ["deployment/gcp-deployment"], + collapsed: true, + items: [ + "deployment/gcp-deployment" + ], }, { type: "category", @@ -129,7 +128,7 @@ module.exports = { items: [ "contributing/how-contribute", "contributing/github-issues", - "contributing/community", + "contributing/community" ], }, ], diff --git a/docs/static/data/AstraDB-RAG-Flows.json b/docs/static/data/AstraDB-RAG-Flows.json index 5706a0fbf..363f71713 100644 --- a/docs/static/data/AstraDB-RAG-Flows.json +++ b/docs/static/data/AstraDB-RAG-Flows.json @@ -20,7 +20,7 @@ "list": false, "show": true, "multiline": true, - "value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatInput(ChatComponent):\n display_name = \"Chat Input\"\n description = \"Get chat inputs from the Interaction Panel.\"\n icon = \"ChatInput\"\n\n def build_config(self):\n build_config = super().build_config()\n build_config[\"input_value\"] = {\n \"input_types\": [],\n \"display_name\": \"Message\",\n \"multiline\": True,\n }\n\n return build_config\n\n def build(\n self,\n sender: Optional[str] = \"User\",\n sender_name: Optional[str] = \"User\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n ) -> Union[Text, Record]:\n return super().build(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n )\n", + "value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatInput(ChatComponent):\n display_name = \"Chat Input\"\n description = \"Get chat inputs from the Playground.\"\n icon = \"ChatInput\"\n\n def build_config(self):\n build_config = super().build_config()\n build_config[\"input_value\"] = {\n \"input_types\": [],\n \"display_name\": \"Message\",\n \"multiline\": True,\n }\n\n return build_config\n\n def build(\n self,\n sender: Optional[str] = \"User\",\n sender_name: Optional[str] = \"User\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n ) -> Union[Text, Record]:\n return super().build(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n )\n", "fileTypes": [], "file_path": "", "password": false, @@ -141,7 +141,7 @@ }, "_type": "CustomComponent" }, - "description": "Get chat inputs from the Interaction Panel.", + "description": "Get chat inputs from the Playground.", "icon": "ChatInput", "base_classes": [ "Text", @@ -214,7 +214,7 @@ "list": false, "show": true, "multiline": true, - "value": "from typing import Optional\n\nfrom langflow.base.io.text import TextComponent\nfrom langflow.field_typing import Text\n\n\nclass TextOutput(TextComponent):\n display_name = \"Text Output\"\n description = \"Display a text output in the Interaction Panel.\"\n icon = \"type\"\n\n def build_config(self):\n return {\n \"input_value\": {\n \"display_name\": \"Value\",\n \"input_types\": [\"Record\", \"Text\"],\n \"info\": \"Text or Record to be passed as output.\",\n },\n \"record_template\": {\n \"display_name\": \"Record Template\",\n \"multiline\": True,\n \"info\": \"Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.\",\n \"advanced\": True,\n },\n }\n\n def build(self, input_value: Optional[Text] = \"\", record_template: str = \"\") -> Text:\n return super().build(input_value=input_value, record_template=record_template)\n", + "value": "from typing import Optional\n\nfrom langflow.base.io.text import TextComponent\nfrom langflow.field_typing import Text\n\n\nclass TextOutput(TextComponent):\n display_name = \"Text Output\"\n description = \"Display a text output in the Playground.\"\n icon = \"type\"\n\n def build_config(self):\n return {\n \"input_value\": {\n \"display_name\": \"Value\",\n \"input_types\": [\"Record\", \"Text\"],\n \"info\": \"Text or Record to be passed as output.\",\n },\n \"record_template\": {\n \"display_name\": \"Record Template\",\n \"multiline\": True,\n \"info\": \"Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.\",\n \"advanced\": True,\n },\n }\n\n def build(self, input_value: Optional[Text] = \"\", record_template: str = \"\") -> Text:\n return super().build(input_value=input_value, record_template=record_template)\n", "fileTypes": [], "file_path": "", "password": false, @@ -249,7 +249,7 @@ }, "_type": "CustomComponent" }, - "description": "Display a text output in the Interaction Panel.", + "description": "Display a text output in the Playground.", "icon": "type", "base_classes": [ "object", @@ -1255,7 +1255,7 @@ "list": false, "show": true, "multiline": true, - "value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Interaction Panel.\"\n icon = \"ChatOutput\"\n\n def build(\n self,\n sender: Optional[str] = \"Machine\",\n sender_name: Optional[str] = \"AI\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n record_template: Optional[str] = \"{text}\",\n ) -> Union[Text, Record]:\n return super().build(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n record_template=record_template,\n )\n", + "value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n\n def build(\n self,\n sender: Optional[str] = \"Machine\",\n sender_name: Optional[str] = \"AI\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n record_template: Optional[str] = \"{text}\",\n ) -> Union[Text, Record]:\n return super().build(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n record_template=record_template,\n )\n", "fileTypes": [], "file_path": "", "password": false, @@ -1399,7 +1399,7 @@ }, "_type": "CustomComponent" }, - "description": "Display a chat message in the Interaction Panel.", + "description": "Display a chat message in the Playground.", "icon": "ChatOutput", "base_classes": [ "object", diff --git a/docs/static/img/basic-prompting.png b/docs/static/img/basic-prompting.png new file mode 100644 index 000000000..76d658a2d Binary files /dev/null and b/docs/static/img/basic-prompting.png differ diff --git a/docs/static/img/blog-writer.png b/docs/static/img/blog-writer.png new file mode 100644 index 000000000..d7b0d3780 Binary files /dev/null and b/docs/static/img/blog-writer.png differ diff --git a/docs/static/img/document-qa.png b/docs/static/img/document-qa.png new file mode 100644 index 000000000..b1c36eb61 Binary files /dev/null and b/docs/static/img/document-qa.png differ diff --git a/docs/static/img/memory-chatbot.png b/docs/static/img/memory-chatbot.png new file mode 100644 index 000000000..53d19b49c Binary files /dev/null and b/docs/static/img/memory-chatbot.png differ diff --git a/docs/static/img/quickstart.png b/docs/static/img/quickstart.png new file mode 100644 index 000000000..ff40f436b Binary files /dev/null and b/docs/static/img/quickstart.png differ diff --git a/poetry.lock b/poetry.lock index feb0728da..2b124cfe9 100644 --- a/poetry.lock +++ b/poetry.lock @@ -167,13 +167,13 @@ files = [ [[package]] name = "anthropic" -version = "0.25.5" +version = "0.25.7" description = "The official Python library for the anthropic API" optional = false python-versions = ">=3.7" files = [ - {file = "anthropic-0.25.5-py3-none-any.whl", hash = "sha256:8665a8aee45be6a1f0664b2f8fd740f5b60d5a88fab62f0e647105d769a5c9dd"}, - {file = "anthropic-0.25.5.tar.gz", hash = "sha256:bc64a17f18a967fae4254bd7464f5c4d39951dacceff22e823434216c4731e38"}, + {file = "anthropic-0.25.7-py3-none-any.whl", hash = "sha256:419a276eb20cfb7ddaac03c7e28e4e12df3ace71bcf33071a68c9a03c0dfcbdd"}, + {file = "anthropic-0.25.7.tar.gz", hash = "sha256:e7de4c8ba8e7e8248ad7f05ed9176634780b95b67c678d23915d8964c8a26f4e"}, ] [package.dependencies] @@ -365,13 +365,13 @@ files = [ [[package]] name = "bce-python-sdk" -version = "0.9.6" +version = "0.9.7" description = "BCE SDK for python" optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,<4,>=2.7" files = [ - {file = "bce-python-sdk-0.9.6.tar.gz", hash = "sha256:13d2c6d15582391b9d1a4252add28a6a41cf4acc33b53dc38dd7b5a79fd8ed5d"}, - {file = "bce_python_sdk-0.9.6-py3-none-any.whl", hash = "sha256:b43e10becad4490e639f84be982f97a499bdc0d3485f1f8859a4eb9ad58b03c4"}, + {file = "bce_python_sdk-0.9.7-py3-none-any.whl", hash = "sha256:6c8d07118de9491803c0cef6f5486ebe2f562f850c14552442d7c448b6a5d35a"}, + {file = "bce_python_sdk-0.9.7.tar.gz", hash = "sha256:4a27f6723af9fc39f58b48d2d6dce82f88cf19ab9507e20bd2f0b7bca64bd17d"}, ] [package.dependencies] @@ -458,28 +458,28 @@ files = [ [[package]] name = "blinker" -version = "1.7.0" +version = "1.8.1" description = "Fast, simple object-to-object and broadcast signaling" optional = false python-versions = ">=3.8" files = [ - {file = "blinker-1.7.0-py3-none-any.whl", hash = "sha256:c3f865d4d54db7abc53758a01601cf343fe55b84c1de4e3fa910e420b438d5b9"}, - {file = "blinker-1.7.0.tar.gz", hash = "sha256:e6820ff6fa4e4d1d8e2747c2283749c3f547e4fee112b98555cdcdae32996182"}, + {file = "blinker-1.8.1-py3-none-any.whl", hash = "sha256:5f1cdeff423b77c31b89de0565cd03e5275a03028f44b2b15f912632a58cced6"}, + {file = "blinker-1.8.1.tar.gz", hash = "sha256:da44ec748222dcd0105ef975eed946da197d5bdf8bafb6aa92f5bc89da63fa25"}, ] [[package]] name = "boto3" -version = "1.34.86" +version = "1.34.96" description = "The AWS SDK for Python" optional = false python-versions = ">=3.8" files = [ - {file = "boto3-1.34.86-py3-none-any.whl", hash = "sha256:be594c449a0079bd1898ba1b7d90e0e5ac6b5803b2ada03993da01179073808d"}, - {file = "boto3-1.34.86.tar.gz", hash = "sha256:992ba74459fef2bf1572050408db73d33c43e7531d81bda85a027f39156926a1"}, + {file = "boto3-1.34.96-py3-none-any.whl", hash = "sha256:fe3d039631074a96374a354764641b6623036b6ea15381b8a04ac0a193b8c1e0"}, + {file = "boto3-1.34.96.tar.gz", hash = "sha256:42ea7d46688e7cb27259780b9da2cddcfaf2763ff5d327f4d54eac12edba8e72"}, ] [package.dependencies] -botocore = ">=1.34.86,<1.35.0" +botocore = ">=1.34.96,<1.35.0" jmespath = ">=0.7.1,<2.0.0" s3transfer = ">=0.10.0,<0.11.0" @@ -488,13 +488,13 @@ crt = ["botocore[crt] (>=1.21.0,<2.0a0)"] [[package]] name = "botocore" -version = "1.34.86" +version = "1.34.96" description = "Low-level, data-driven core of boto 3." optional = false python-versions = ">=3.8" files = [ - {file = "botocore-1.34.86-py3-none-any.whl", hash = "sha256:57c1e3b2e1db745d22c45cbd761bbc0c143d2cfc2b532e3245cf5d874aa30b6d"}, - {file = "botocore-1.34.86.tar.gz", hash = "sha256:2fd62b63d8788e15629bfc95be1bd2d99c0da6c1d45ef1f40c0a0101e412f6b5"}, + {file = "botocore-1.34.96-py3-none-any.whl", hash = "sha256:4c307f5772286f1ab58a91220ea8e180416a2ea0cc7e76983a6984e4ef8c212d"}, + {file = "botocore-1.34.96.tar.gz", hash = "sha256:00e917cd8152d902a4771b9e1e4d0cf1ee096c90027ee35f2a76b6d394e2ada5"}, ] [package.dependencies] @@ -682,13 +682,13 @@ graph = ["gremlinpython (==3.4.6)"] [[package]] name = "cassio" -version = "0.1.6" +version = "0.1.7" description = "A framework-agnostic Python library to seamlessly integrate Apache Cassandra(R) with ML/LLM/genAI workloads." optional = false python-versions = "<4.0,>=3.8" files = [ - {file = "cassio-0.1.6-py3-none-any.whl", hash = "sha256:2ab767da43acdd850b2fb0eead7f0fd9cbb2884bb3864c6b0721dd589cbfe23a"}, - {file = "cassio-0.1.6.tar.gz", hash = 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+description = "Long-Term Memory for AI Assistants. This is the Python client for the Zep service." +optional = false +python-versions = "<4,>=3.9.0" +files = [ + {file = "zep_python-2.0.0rc6-py3-none-any.whl", hash = "sha256:2719e06897957facd4e5edbf89706c01d3c68b0c0543bbe24da56a57bff99d68"}, + {file = "zep_python-2.0.0rc6.tar.gz", hash = "sha256:27a6632068c5ae6bac30d0626d49f8f5e5bc2a3922557ce11bf8df006ca071f4"}, +] + +[package.dependencies] +httpx = ">=0.24.0,<0.29.0" +pydantic = ">=2.0.0" + [[package]] name = "zipp" version = "3.18.1" @@ -10262,4 +10253,4 @@ local = ["ctransformers", "llama-cpp-python", "sentence-transformers"] [metadata] lock-version = "2.0" python-versions = ">=3.10,<3.12" -content-hash = "9dd152b30031767c522c77e2ad5fc4597a8d1590b13968af143bd382e056b2a1" +content-hash = "bec34397b534f882551511558c76785c7cd67e6a1eefc1d45f6a64d97175d886" diff --git a/pyproject.toml b/pyproject.toml index fd629cc9f..f49df7a35 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "langflow" -version = "1.0.0a24" +version = "1.0.0a30" description = "A Python package with a built-in web application" authors = ["Langflow "] maintainers = [ @@ -81,6 +81,7 @@ chromadb = "^0.4.24" langchain-anthropic = "^0.1.6" langchain-astradb = "^0.1.0" langchain-openai = "^0.1.1" +zep-python = { version = "^2.0.0rc5", allow-prereleases = true } [tool.poetry.group.dev.dependencies] types-redis = "^4.6.0.5" diff --git a/src/backend/Dockerfile b/src/backend/Dockerfile index 8257d89b0..ba1f3c946 100644 --- a/src/backend/Dockerfile +++ b/src/backend/Dockerfile @@ -1,4 +1,4 @@ -FROM logspace/backend_build as backend_build +FROM langflowai/backend_build as backend_build FROM python:3.10-slim WORKDIR /app diff --git a/src/backend/base/langflow/alembic/versions/1f4d6df60295_add_default_fields_column.py b/src/backend/base/langflow/alembic/versions/1f4d6df60295_add_default_fields_column.py index 7b69058c2..e47d68702 100644 --- a/src/backend/base/langflow/alembic/versions/1f4d6df60295_add_default_fields_column.py +++ b/src/backend/base/langflow/alembic/versions/1f4d6df60295_add_default_fields_column.py @@ -1,7 +1,7 @@ """Add default_fields column Revision ID: 1f4d6df60295 -Revises: 58b28437a398 +Revises: 6e7b581b5648 Create Date: 2024-04-29 09:49:46.864145 """ @@ -14,7 +14,7 @@ from sqlalchemy.engine.reflection import Inspector # revision identifiers, used by Alembic. revision: str = "1f4d6df60295" -down_revision: Union[str, None] = "58b28437a398" +down_revision: Union[str, None] = "6e7b581b5648" branch_labels: Union[str, Sequence[str], None] = None depends_on: Union[str, Sequence[str], None] = None @@ -22,7 +22,6 @@ depends_on: Union[str, Sequence[str], None] = None def upgrade() -> None: conn = op.get_bind() inspector = Inspector.from_engine(conn) # type: ignore - table_names = inspector.get_table_names() # ### commands auto generated by Alembic - please adjust! ### column_names = [column["name"] for column in inspector.get_columns("variable")] with op.batch_alter_table("variable", schema=None) as batch_op: @@ -35,7 +34,6 @@ def upgrade() -> None: def downgrade() -> None: conn = op.get_bind() inspector = Inspector.from_engine(conn) # type: ignore - table_names = inspector.get_table_names() # ### commands auto generated by Alembic - please adjust! ### column_names = [column["name"] for column in inspector.get_columns("variable")] with op.batch_alter_table("variable", schema=None) as batch_op: diff --git a/src/backend/base/langflow/alembic/versions/6e7b581b5648_fix_nullable.py b/src/backend/base/langflow/alembic/versions/6e7b581b5648_fix_nullable.py new file mode 100644 index 000000000..71e81128c --- /dev/null +++ b/src/backend/base/langflow/alembic/versions/6e7b581b5648_fix_nullable.py @@ -0,0 +1,59 @@ +"""Fix nullable + +Revision ID: 6e7b581b5648 +Revises: 58b28437a398 +Create Date: 2024-04-30 09:17:45.024688 + +""" + +from typing import Sequence, Union + +import sqlalchemy as sa +from alembic import op +from sqlalchemy.engine.reflection import Inspector + +# revision identifiers, used by Alembic. +revision: str = "6e7b581b5648" +down_revision: Union[str, None] = "58b28437a398" +branch_labels: Union[str, Sequence[str], None] = None +depends_on: Union[str, Sequence[str], None] = None + + +def upgrade() -> None: + conn = op.get_bind() + inspector = Inspector.from_engine(conn) # type: ignore + table_names = inspector.get_table_names() + # ### commands auto generated by Alembic - please adjust! ### + columns = inspector.get_columns("apikey") + column_names = {column["name"]: column for column in columns} + with op.batch_alter_table("apikey", schema=None) as batch_op: + created_at_column = [column for column in columns if column["name"] == "created_at"][0] + if "created_at" in column_names and created_at_column.get("nullable"): + batch_op.alter_column( + "created_at", + existing_type=sa.DATETIME(), + nullable=False, + existing_server_default=sa.text("(CURRENT_TIMESTAMP)"), # type: ignore + ) + + # ### end Alembic commands ### + + +def downgrade() -> None: + conn = op.get_bind() + inspector = Inspector.from_engine(conn) # type: ignore + table_names = inspector.get_table_names() + columns = inspector.get_columns("apikey") + column_names = {column["name"]: column for column in columns} + # ### commands auto generated by Alembic - please adjust! ### + with op.batch_alter_table("apikey", schema=None) as batch_op: + created_at_column = [column for column in columns if column["name"] == "created_at"][0] + if "created_at" in column_names and not created_at_column.get("nullable"): + batch_op.alter_column( + "created_at", + existing_type=sa.DATETIME(), + nullable=True, + existing_server_default=sa.text("(CURRENT_TIMESTAMP)"), # type: ignore + ) + + # ### end Alembic commands ### diff --git a/src/backend/base/langflow/alembic/versions/c153816fd85f_set_name_and_value_to_not_nullable.py b/src/backend/base/langflow/alembic/versions/c153816fd85f_set_name_and_value_to_not_nullable.py new file mode 100644 index 000000000..cec3f6081 --- /dev/null +++ b/src/backend/base/langflow/alembic/versions/c153816fd85f_set_name_and_value_to_not_nullable.py @@ -0,0 +1,52 @@ +"""Set name and value to not nullable + +Revision ID: c153816fd85f +Revises: 1f4d6df60295 +Create Date: 2024-04-30 14:31:23.898995 + +""" + +from typing import Sequence, Union + +import sqlalchemy as sa +from alembic import op +from sqlalchemy.engine.reflection import Inspector + +# revision identifiers, used by Alembic. +revision: str = "c153816fd85f" +down_revision: Union[str, None] = "1f4d6df60295" +branch_labels: Union[str, Sequence[str], None] = None +depends_on: Union[str, Sequence[str], None] = None + + +def upgrade() -> None: + conn = op.get_bind() + inspector = Inspector.from_engine(conn) # type: ignore + # ### commands auto generated by Alembic - please adjust! ### + columns = inspector.get_columns("variable") + with op.batch_alter_table("variable", schema=None) as batch_op: + name_column = [column for column in columns if column["name"] == "name"][0] + if name_column and name_column["nullable"]: + batch_op.alter_column("name", existing_type=sa.VARCHAR(), nullable=False) + value_column = [column for column in columns if column["name"] == "value"][0] + if value_column and value_column["nullable"]: + batch_op.alter_column("value", existing_type=sa.VARCHAR(), nullable=False) + + +# ### end Alembic commands ### + + +def downgrade() -> None: + conn = op.get_bind() + inspector = Inspector.from_engine(conn) # type: ignore + columns = inspector.get_columns("variable") + # ### commands auto generated by Alembic - please adjust! ### + with op.batch_alter_table("variable", schema=None) as batch_op: + name_column = [column for column in columns if column["name"] == "name"][0] + if name_column and not name_column["nullable"]: + batch_op.alter_column("name", existing_type=sa.VARCHAR(), nullable=True) + value_column = [column for column in columns if column["name"] == "value"][0] + if value_column and not value_column["nullable"]: + batch_op.alter_column("name", existing_type=sa.VARCHAR(), nullable=True) + + # ### end Alembic commands ### diff --git a/src/backend/base/langflow/api/utils.py b/src/backend/base/langflow/api/utils.py index 0500917a3..b9f10d2c4 100644 --- a/src/backend/base/langflow/api/utils.py +++ b/src/backend/base/langflow/api/utils.py @@ -201,7 +201,7 @@ def format_elapsed_time(elapsed_time: float) -> str: return f"{minutes} {minutes_unit}, {seconds} {seconds_unit}" -async def build_and_cache_graph( +async def build_and_cache_graph_from_db( flow_id: str, session: Session, chat_service: "ChatService", @@ -220,6 +220,17 @@ async def build_and_cache_graph( return graph +async def build_and_cache_graph_from_data( + flow_id: str, + chat_service: "ChatService", + graph_data: dict, +): # -> Graph | Any: + """Build and cache the graph.""" + graph = Graph.from_payload(graph_data, flow_id) + await chat_service.set_cache(flow_id, graph) + return graph + + def format_syntax_error_message(exc: SyntaxError) -> str: """Format a SyntaxError message for returning to the frontend.""" if exc.text is None: diff --git a/src/backend/base/langflow/api/v1/chat.py b/src/backend/base/langflow/api/v1/chat.py index 9ee4edb03..d44d96e72 100644 --- a/src/backend/base/langflow/api/v1/chat.py +++ b/src/backend/base/langflow/api/v1/chat.py @@ -8,13 +8,15 @@ from fastapi.responses import StreamingResponse from loguru import logger from langflow.api.utils import ( - build_and_cache_graph, + build_and_cache_graph_from_data, + build_and_cache_graph_from_db, format_elapsed_time, format_exception_message, get_top_level_vertices, parse_exception, ) from langflow.api.v1.schemas import ( + FlowDataRequest, InputValueRequest, ResultDataResponse, StreamData, @@ -49,9 +51,10 @@ async def try_running_celery_task(vertex, user_id): return vertex -@router.get("/build/{flow_id}/vertices", response_model=VerticesOrderResponse) -async def get_vertices( +@router.post("/build/{flow_id}/vertices", response_model=VerticesOrderResponse) +async def retrieve_vertices_order( flow_id: str, + data: Optional[Annotated[Optional[FlowDataRequest], Body(embed=True)]] = None, stop_component_id: Optional[str] = None, start_component_id: Optional[str] = None, chat_service: "ChatService" = Depends(get_chat_service), @@ -62,6 +65,7 @@ async def get_vertices( Args: flow_id (str): The ID of the flow. + data (Optional[FlowDataRequest], optional): The flow data. Defaults to None. stop_component_id (str, optional): The ID of the stop component. Defaults to None. start_component_id (str, optional): The ID of the start component. Defaults to None. chat_service (ChatService, optional): The chat service dependency. Defaults to Depends(get_chat_service). @@ -76,9 +80,16 @@ async def get_vertices( try: # First, we need to check if the flow_id is in the cache graph = None - if cache := await chat_service.get_cache(flow_id): - graph = cache.get("result") - graph = await build_and_cache_graph(flow_id, session, chat_service, graph) + if not data: + if cache := await chat_service.get_cache(flow_id): + graph = cache.get("result") + graph = await build_and_cache_graph_from_db( + flow_id=flow_id, session=session, chat_service=chat_service, graph=graph + ) + else: + graph = await build_and_cache_graph_from_data( + flow_id=flow_id, graph_data=data.model_dump(), chat_service=chat_service + ) if stop_component_id or start_component_id: try: first_layer = graph.sort_vertices(stop_component_id, start_component_id) @@ -144,7 +155,9 @@ async def build_vertex( if not cache: # If there's no cache logger.warning(f"No cache found for {flow_id}. Building graph starting at {vertex_id}") - graph = await build_and_cache_graph(flow_id=flow_id, session=next(get_session()), chat_service=chat_service) + graph = await build_and_cache_graph_from_db( + flow_id=flow_id, session=next(get_session()), chat_service=chat_service + ) else: graph = cache.get("result") result_data_response = ResultDataResponse(results={}) diff --git a/src/backend/base/langflow/api/v1/endpoints.py b/src/backend/base/langflow/api/v1/endpoints.py index 32faae472..e13d4333d 100644 --- a/src/backend/base/langflow/api/v1/endpoints.py +++ b/src/backend/base/langflow/api/v1/endpoints.py @@ -130,7 +130,7 @@ async def simplified_run_flow( graph_data = flow.data graph_data = process_tweaks(graph_data, input_request.tweaks or {}, stream=stream) - graph = Graph.from_payload(graph_data, flow_id=flow_id, user_id=api_key_user.id) + graph = Graph.from_payload(graph_data, flow_id=flow_id, user_id=str(api_key_user.id)) inputs = [ InputValueRequest(components=[], input_value=input_request.input_value, type=input_request.input_type) ] diff --git a/src/backend/base/langflow/api/v1/schemas.py b/src/backend/base/langflow/api/v1/schemas.py index f5d0b97d1..1a68dcc8f 100644 --- a/src/backend/base/langflow/api/v1/schemas.py +++ b/src/backend/base/langflow/api/v1/schemas.py @@ -26,7 +26,7 @@ class BuildStatus(Enum): class TweaksRequest(BaseModel): - tweaks: Optional[Dict[str, Dict[str, str]]] = Field(default_factory=dict) + tweaks: Optional[Dict[str, Dict[str, Any]]] = Field(default_factory=dict) class UpdateTemplateRequest(BaseModel): @@ -294,3 +294,15 @@ class SimplifiedAPIRequest(BaseModel): ) tweaks: Optional[Tweaks] = Field(default=None, description="The tweaks") session_id: Optional[str] = Field(default=None, description="The session id") + + +# (alias) type ReactFlowJsonObject = { +# nodes: Node[]; +# edges: Edge[]; +# viewport: Viewport; +# } +# import ReactFlowJsonObject +class FlowDataRequest(BaseModel): + nodes: List[dict] + edges: List[dict] + viewport: Optional[dict] = None diff --git a/src/backend/base/langflow/api/v1/variable.py b/src/backend/base/langflow/api/v1/variable.py index b1cca14c1..f992c1429 100644 --- a/src/backend/base/langflow/api/v1/variable.py +++ b/src/backend/base/langflow/api/v1/variable.py @@ -37,7 +37,11 @@ def create_variable( variable_dict["user_id"] = current_user.id db_variable = Variable.model_validate(variable_dict) - if not db_variable.value: + if not db_variable.name and not db_variable.value: + raise HTTPException(status_code=400, detail="Variable name and value cannot be empty") + elif not db_variable.name: + raise HTTPException(status_code=400, detail="Variable name cannot be empty") + elif not db_variable.value: raise HTTPException(status_code=400, detail="Variable value cannot be empty") encrypted = auth_utils.encrypt_api_key(db_variable.value, settings_service=settings_service) db_variable.value = encrypted diff --git a/src/backend/base/langflow/base/io/chat.py b/src/backend/base/langflow/base/io/chat.py index ea24dc968..b3cb7c01d 100644 --- a/src/backend/base/langflow/base/io/chat.py +++ b/src/backend/base/langflow/base/io/chat.py @@ -1,10 +1,9 @@ -import warnings from typing import Optional, Union from langflow.field_typing import Text from langflow.helpers.record import records_to_text from langflow.interface.custom.custom_component import CustomComponent -from langflow.memory import add_messages +from langflow.memory import store_message from langflow.schema import Record @@ -50,34 +49,16 @@ class ChatComponent(CustomComponent): sender: Optional[str] = None, sender_name: Optional[str] = None, ) -> list[Record]: - if not message: - warnings.warn("No message provided.") - return [] - if not session_id or not sender or not sender_name: - raise ValueError("All of session_id, sender, and sender_name must be provided.") - if isinstance(message, Record): - record = message - record.data.update( - { - "session_id": session_id, - "sender": sender, - "sender_name": sender_name, - } - ) - else: - record = Record( - data={ - "text": message, - "session_id": session_id, - "sender": sender, - "sender_name": sender_name, - }, - ) + records = store_message( + message, + session_id=session_id, + sender=sender, + sender_name=sender_name, + ) - self.status = record - records = add_messages([record]) - return records[0] + self.status = records + return records def build_with_record( self, diff --git a/docs/docs/getting-started/basic-prompting.mdx b/src/backend/base/langflow/base/memory/__init__.py similarity index 100% rename from docs/docs/getting-started/basic-prompting.mdx rename to src/backend/base/langflow/base/memory/__init__.py diff --git a/src/backend/base/langflow/base/memory/memory.py b/src/backend/base/langflow/base/memory/memory.py new file mode 100644 index 000000000..836752509 --- /dev/null +++ b/src/backend/base/langflow/base/memory/memory.py @@ -0,0 +1,51 @@ +from typing import Optional + +from langflow.field_typing import Text +from langflow.helpers.record import records_to_text +from langflow.interface.custom.custom_component import CustomComponent +from langflow.schema.schema import Record + + +class BaseMemoryComponent(CustomComponent): + display_name = "Chat Memory" + description = "Retrieves stored chat messages given a specific Session ID." + beta: bool = True + icon = "history" + + def build_config(self): + return { + "sender": { + "options": ["Machine", "User", "Machine and User"], + "display_name": "Sender Type", + }, + "sender_name": {"display_name": "Sender Name", "advanced": True}, + "n_messages": { + "display_name": "Number of Messages", + "info": "Number of messages to retrieve.", + }, + "session_id": { + "display_name": "Session ID", + "info": "Session ID of the chat history.", + "input_types": ["Text"], + }, + "order": { + "options": ["Ascending", "Descending"], + "display_name": "Order", + "info": "Order of the messages.", + "advanced": True, + }, + "record_template": { + "display_name": "Record Template", + "multiline": True, + "info": "Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.", + "advanced": True, + }, + } + + def get_messages(self, **kwargs) -> list[Record]: + raise NotImplementedError + + def add_message( + self, sender: str, sender_name: str, text: str, session_id: str, metadata: Optional[dict] = None, **kwargs + ): + raise NotImplementedError diff --git a/src/backend/base/langflow/components/experimental/StoreMessage.py b/src/backend/base/langflow/components/experimental/StoreMessage.py new file mode 100644 index 000000000..ac50b78b4 --- /dev/null +++ b/src/backend/base/langflow/components/experimental/StoreMessage.py @@ -0,0 +1,44 @@ +from typing import List, Optional + +from langflow.interface.custom.custom_component import CustomComponent +from langflow.memory import get_messages, store_message +from langflow.schema import Record + + +class StoreMessageComponent(CustomComponent): + display_name = "Store Message" + description = "Stores a chat message given a Session ID." + beta: bool = True + + def build_config(self): + return { + "sender": { + "options": ["Machine", "User"], + "display_name": "Sender Type", + }, + "sender_name": {"display_name": "Sender Name"}, + "message": {"display_name": "Message"}, + "session_id": { + "display_name": "Session ID", + "info": "Session ID of the chat history.", + "input_types": ["Text"], + }, + } + + def build( + self, + sender: str = "User", + sender_name: Optional[str] = None, + session_id: Optional[str] = None, + message: str = "", + ) -> List[Record]: + + store_message( + sender=sender, + sender_name=sender_name, + session_id=session_id, + message=message, + ) + + self.status = get_messages(session_id=session_id) + return get_messages(session_id=session_id) diff --git a/src/backend/base/langflow/components/experimental/TextOperator.py b/src/backend/base/langflow/components/experimental/TextOperator.py new file mode 100644 index 000000000..d21d7b7cb --- /dev/null +++ b/src/backend/base/langflow/components/experimental/TextOperator.py @@ -0,0 +1,55 @@ +from langflow.interface.custom.custom_component import CustomComponent +from langflow.schema import Record +from langflow.field_typing import Text + +class TextOperatorComponent(CustomComponent): + display_name = "Text Operator" + description = "Compares two text inputs based on a specified condition such as equality or inequality, with optional case sensitivity." + + def build_config(self) -> dict: + return { + "input_text": { + "display_name": "Input Text", + "info": "The primary text input for the operation.", + }, + "match_text": { + "display_name": "Match Text", + "info": "The text input to compare against.", + }, + "operator": { + "display_name": "Operator", + "info": "The operator to apply for comparing the texts.", + "options": ["equals", "not equals", "contains", "starts with", "ends with"], + }, + "case_sensitive": { + "display_name": "Case Sensitive", + "info": "If true, the comparison will be case sensitive.", + "field_type": "bool", + "default": False, + } + } + + def build(self, input_text: Text, match_text: Text, operator: Text, case_sensitive: bool = False) -> Text: + if not input_text or not match_text: + raise ValueError("Both 'input_text' and 'match_text' must be provided and non-empty.") + + if not case_sensitive: + input_text = input_text.lower() + match_text = match_text.lower() + + result = False + if operator == "equals": + result = input_text == match_text + elif operator == "not equals": + result = input_text != match_text + elif operator == "contains": + result = match_text in input_text + elif operator == "starts with": + result = input_text.startswith(match_text) + elif operator == "ends with": + result = input_text.endswith(match_text) + + if not result: + self.stop() + self.status = f"{result} \n\n {input_text}" + return input_text diff --git a/src/backend/base/langflow/components/helpers/CombineTextsUnsorted.py b/src/backend/base/langflow/components/helpers/CombineTextsUnsorted.py new file mode 100644 index 000000000..20cd4db29 --- /dev/null +++ b/src/backend/base/langflow/components/helpers/CombineTextsUnsorted.py @@ -0,0 +1,25 @@ +from langflow.interface.custom.custom_component import CustomComponent +from langflow.field_typing import Text + + +class CombineTextsUnsortedComponent(CustomComponent): + display_name = "Combine Texts (Unsorted)" + description = "Concatenate text sources into a single text chunk using a specified delimiter." + icon = "merge" + + def build_config(self): + return { + "texts": { + "display_name": "Texts", + "info": "The first text input to concatenate.", + }, + "delimiter": { + "display_name": "Delimiter", + "info": "A string used to separate the two text inputs. Defaults to a whitespace.", + }, + } + + def build(self, texts: list[str], delimiter: str = " ") -> Text: + combined = delimiter.join(texts) + self.status = combined + return combined diff --git a/src/backend/base/langflow/components/helpers/MemoryComponent.py b/src/backend/base/langflow/components/helpers/MemoryComponent.py index 9590fe8a3..6d19bfd59 100644 --- a/src/backend/base/langflow/components/helpers/MemoryComponent.py +++ b/src/backend/base/langflow/components/helpers/MemoryComponent.py @@ -1,12 +1,13 @@ from typing import Optional +from langflow.base.memory.memory import BaseMemoryComponent from langflow.field_typing import Text from langflow.helpers.record import records_to_text -from langflow.interface.custom.custom_component import CustomComponent from langflow.memory import get_messages +from langflow.schema.schema import Record -class MemoryComponent(CustomComponent): +class MemoryComponent(BaseMemoryComponent): display_name = "Chat Memory" description = "Retrieves stored chat messages given a specific Session ID." beta: bool = True @@ -42,6 +43,24 @@ class MemoryComponent(CustomComponent): }, } + def get_messages(self, **kwargs) -> list[Record]: + # Validate kwargs by checking if it contains the correct keys + if "sender" not in kwargs: + kwargs["sender"] = None + if "sender_name" not in kwargs: + kwargs["sender_name"] = None + if "session_id" not in kwargs: + kwargs["session_id"] = None + if "limit" not in kwargs: + kwargs["limit"] = 5 + if "order" not in kwargs: + kwargs["order"] = "Descending" + + kwargs["order"] = "DESC" if kwargs["order"] == "Descending" else "ASC" + if kwargs["sender"] == "Machine and User": + kwargs["sender"] = None + return get_messages(**kwargs) + def build( self, sender: Optional[str] = "Machine and User", @@ -51,10 +70,7 @@ class MemoryComponent(CustomComponent): order: Optional[str] = "Descending", record_template: Optional[str] = "{sender_name}: {text}", ) -> Text: - order = "DESC" if order == "Descending" else "ASC" - if sender == "Machine and User": - sender = None - messages = get_messages( + messages = self.get_messages( sender=sender, sender_name=sender_name, session_id=session_id, diff --git a/src/backend/base/langflow/components/helpers/ShouldRunNext.py b/src/backend/base/langflow/components/helpers/ShouldRunNext.py new file mode 100644 index 000000000..0d20706ea --- /dev/null +++ b/src/backend/base/langflow/components/helpers/ShouldRunNext.py @@ -0,0 +1,30 @@ +from langchain_core.messages import BaseMessage +from langchain_core.prompts import PromptTemplate + +from langflow.custom import CustomComponent +from langflow.field_typing import BaseLanguageModel, Text + + +class ShouldRunNextComponent(CustomComponent): + display_name = "Should Run Next" + description = "Determines if a vertex is runnable." + + def build(self, llm: BaseLanguageModel, question: str, context: str, retries: int = 3) -> Text: + template = "Given the following question and the context below, answer with a yes or no.\n\n{error_message}\n\nQuestion: {question}\n\nContext: {context}\n\nAnswer:" + + prompt = PromptTemplate.from_template(template) + chain = prompt | llm + error_message = "" + for i in range(retries): + result = chain.invoke(dict(question=question, context=context, error_message=error_message)) + if isinstance(result, BaseMessage): + content = result.content + elif isinstance(result, str): + content = result + if isinstance(content, str) and content.lower().strip() in ["yes", "no"]: + break + condition = str(content).lower().strip() == "yes" + self.status = f"Should Run Next: {condition}" + if condition is False: + self.stop() + return context diff --git a/src/backend/base/langflow/components/inputs/ChatInput.py b/src/backend/base/langflow/components/inputs/ChatInput.py index 40c3267ab..40203851f 100644 --- a/src/backend/base/langflow/components/inputs/ChatInput.py +++ b/src/backend/base/langflow/components/inputs/ChatInput.py @@ -7,7 +7,7 @@ from langflow.schema import Record class ChatInput(ChatComponent): display_name = "Chat Input" - description = "Get chat inputs from the Interaction Panel." + description = "Get chat inputs from the Playground." icon = "ChatInput" def build_config(self): diff --git a/src/backend/base/langflow/components/inputs/FileInput.py b/src/backend/base/langflow/components/inputs/FileInput.py new file mode 100644 index 000000000..0cd7c12b1 --- /dev/null +++ b/src/backend/base/langflow/components/inputs/FileInput.py @@ -0,0 +1,48 @@ +from pathlib import Path +from typing import Any, Dict + +from langflow.base.data.utils import TEXT_FILE_TYPES, parse_text_file_to_record +from langflow.interface.custom.custom_component import CustomComponent +from langflow.schema import Record + + +class FileInput(CustomComponent): + display_name = "File Input" + description = "A generic file input." + icon = "file-text" + + def build_config(self) -> Dict[str, Any]: + return { + "path": { + "display_name": "Path", + "field_type": "file", + "file_types": TEXT_FILE_TYPES, + "info": f"Supported file types: {', '.join(TEXT_FILE_TYPES)}", + }, + "silent_errors": { + "display_name": "Silent Errors", + "advanced": True, + "info": "If true, errors will not raise an exception.", + }, + } + + def load_file(self, path: str, silent_errors: bool = False) -> Record: + resolved_path = self.resolve_path(path) + path_obj = Path(resolved_path) + extension = path_obj.suffix[1:].lower() + if extension == "doc": + raise ValueError("doc files are not supported. Please save as .docx") + if extension not in TEXT_FILE_TYPES: + raise ValueError(f"Unsupported file type: {extension}") + record = parse_text_file_to_record(resolved_path, silent_errors) + self.status = record if record else "No data" + return record or Record() + + def build( + self, + path: str, + silent_errors: bool = False, + ) -> Record: + record = self.load_file(path, silent_errors) + self.status = record + return record diff --git a/src/backend/base/langflow/components/inputs/JsonInput.py b/src/backend/base/langflow/components/inputs/JsonInput.py new file mode 100644 index 000000000..713868147 --- /dev/null +++ b/src/backend/base/langflow/components/inputs/JsonInput.py @@ -0,0 +1,17 @@ +from langflow.base.io.text import TextComponent +from langflow.field_typing.constants import Data, NestedDict + +class JsonInput(TextComponent): + display_name = "JSON Input" + description = "JSON Input." + + def build_config(self): + return { + "input_value": { + "display_name": "JSON", + "field_type": "NestedDict" + } + } + + def build(self, input_value: NestedDict) -> NestedDict: + return input_value diff --git a/src/backend/base/langflow/components/inputs/KeyPairInput.py b/src/backend/base/langflow/components/inputs/KeyPairInput.py new file mode 100644 index 000000000..c48d0a0e1 --- /dev/null +++ b/src/backend/base/langflow/components/inputs/KeyPairInput.py @@ -0,0 +1,19 @@ +from langflow.base.io.text import TextComponent +from langflow.field_typing.constants import Data + + +class KeyPairInput(TextComponent): + display_name = "Dictionary Input" + description = "Dictionary Input." + + def build_config(self): + return { + "input_value": { + "display_name": "Dictionaries", + "field_type": "dict", + "list": True + } + } + + def build(self, input_value: dict) -> dict: + return input_value diff --git a/src/backend/base/langflow/components/inputs/StringListInput.py b/src/backend/base/langflow/components/inputs/StringListInput.py new file mode 100644 index 000000000..5eadce9bc --- /dev/null +++ b/src/backend/base/langflow/components/inputs/StringListInput.py @@ -0,0 +1,13 @@ +# from langflow.field_typing import Data +from langflow.schema import Record +from langflow.interface.custom.custom_component import CustomComponent + + +class StringListInput(CustomComponent): + display_name = "String List Input" + + def build_config(self): + return {"input_value": {"display_name": "String List Input", "field_type": "str", "list": True}} + + def build(self, input_value: list) -> Record: + return Record(data=input_value) diff --git a/src/backend/base/langflow/components/inputs/TextInput.py b/src/backend/base/langflow/components/inputs/TextInput.py index c9cdee0b0..b2317678e 100644 --- a/src/backend/base/langflow/components/inputs/TextInput.py +++ b/src/backend/base/langflow/components/inputs/TextInput.py @@ -6,7 +6,7 @@ from langflow.field_typing import Text class TextInput(TextComponent): display_name = "Text Input" - description = "Get text inputs from the Interaction Panel." + description = "Get text inputs from the Playground." icon = "type" def build_config(self): diff --git a/src/backend/base/langflow/components/memories/ZepMessageReader.py b/src/backend/base/langflow/components/memories/ZepMessageReader.py new file mode 100644 index 000000000..603e41972 --- /dev/null +++ b/src/backend/base/langflow/components/memories/ZepMessageReader.py @@ -0,0 +1,137 @@ +from typing import Optional, cast + +from langchain_community.chat_message_histories.zep import SearchScope, SearchType, ZepChatMessageHistory + +from langflow.base.memory.memory import BaseMemoryComponent +from langflow.field_typing import Text +from langflow.schema.schema import Record + + +class ZepMessageReaderComponent(BaseMemoryComponent): + display_name = "Zep Message Reader" + description = "Retrieves stored chat messages from Zep." + + def build_config(self): + return { + "session_id": { + "display_name": "Session ID", + "info": "Session ID of the chat history.", + "input_types": ["Text"], + }, + "url": { + "display_name": "Zep URL", + "info": "URL of the Zep instance.", + "input_types": ["Text"], + }, + "api_key": { + "display_name": "Zep API Key", + "info": "API Key for the Zep instance.", + "password": True, + }, + "query": { + "display_name": "Query", + "info": "Query to search for in the chat history.", + }, + "metadata": { + "display_name": "Metadata", + "info": "Optional metadata to attach to the message.", + "advanced": True, + }, + "search_scope": { + "options": ["Messages", "Summary"], + "display_name": "Search Scope", + "info": "Scope of the search.", + "advanced": True, + }, + "search_type": { + "options": ["Similarity", "MMR"], + "display_name": "Search Type", + "info": "Type of search.", + "advanced": True, + }, + "limit": { + "display_name": "Limit", + "info": "Limit of search results.", + "advanced": True, + }, + } + + def get_messages(self, **kwargs) -> list[Record]: + """ + Retrieves messages from the ZepChatMessageHistory memory. + + If a query is provided, the search method is used to search for messages in the memory, otherwise all messages are returned. + + Args: + memory (ZepChatMessageHistory): The ZepChatMessageHistory instance to retrieve messages from. + query (str, optional): The query string to search for messages. Defaults to None. + metadata (dict, optional): Additional metadata to filter the search results. Defaults to None. + search_scope (str, optional): The scope of the search. Can be 'messages' or 'summary'. Defaults to 'messages'. + search_type (str, optional): The type of search. Can be 'similarity' or 'exact'. Defaults to 'similarity'. + limit (int, optional): The maximum number of search results to return. Defaults to None. + + Returns: + list[Record]: A list of Record objects representing the search results. + """ + memory: ZepChatMessageHistory = cast(ZepChatMessageHistory, kwargs.get("memory")) + if not memory: + raise ValueError("ZepChatMessageHistory instance is required.") + query = kwargs.get("query") + search_scope = kwargs.get("search_scope", SearchScope.messages).lower() + search_type = kwargs.get("search_type", SearchType.similarity).lower() + limit = kwargs.get("limit") + + if query: + memory_search_results = memory.search( + query, + search_scope=search_scope, + search_type=search_type, + limit=limit, + ) + # Get the messages from the search results if the search scope is messages + result_dicts = [] + for result in memory_search_results: + result_dict = {} + if search_scope == SearchScope.messages: + result_dict["text"] = result.message + else: + result_dict["text"] = result.summary + result_dict["metadata"] = result.metadata + result_dict["score"] = result.score + result_dicts.append(result_dict) + results = [Record(data=result_dict) for result_dict in result_dicts] + else: + messages = memory.messages + results = [Record.from_lc_message(message) for message in messages] + return results + + def build( + self, + session_id: Text, + url: Optional[Text] = None, + api_key: Optional[Text] = None, + query: Optional[Text] = None, + search_scope: SearchScope = SearchScope.messages, + search_type: SearchType = SearchType.similarity, + limit: Optional[int] = None, + ) -> list[Record]: + try: + from zep_python import ZepClient + from zep_python.langchain import ZepChatMessageHistory + except ImportError: + raise ImportError( + "Could not import zep-python package. " "Please install it with `pip install zep-python`." + ) + if url == "": + url = None + zep_client = ZepClient(api_url=url, api_key=api_key) + memory = ZepChatMessageHistory(session_id=session_id, zep_client=zep_client) + records = self.get_messages( + memory=memory, + query=query, + search_scope=search_scope, + search_type=search_type, + limit=limit, + ) + self.status = records + return records diff --git a/src/backend/base/langflow/components/memories/ZepMessageWriter.py b/src/backend/base/langflow/components/memories/ZepMessageWriter.py new file mode 100644 index 000000000..248dfd810 --- /dev/null +++ b/src/backend/base/langflow/components/memories/ZepMessageWriter.py @@ -0,0 +1,96 @@ +from typing import Optional, TYPE_CHECKING + + +from langflow.base.memory.memory import BaseMemoryComponent +from langflow.field_typing import Text +from langflow.schema.schema import Record + +if TYPE_CHECKING: + from zep_python.langchain import ZepChatMessageHistory + + +class ZepMessageWriterComponent(BaseMemoryComponent): + display_name = "Zep Message Writer" + description = "Writes a message to Zep." + + def build_config(self): + return { + "session_id": { + "display_name": "Session ID", + "info": "Session ID of the chat history.", + "input_types": ["Text"], + }, + "url": { + "display_name": "Zep URL", + "info": "URL of the Zep instance.", + "input_types": ["Text"], + }, + "api_key": { + "display_name": "Zep API Key", + "info": "API Key for the Zep instance.", + "password": True, + }, + "limit": { + "display_name": "Limit", + "info": "Limit of search results.", + "advanced": True, + }, + "input_value": { + "display_name": "Input Record", + "info": "Record to write to Zep.", + }, + } + + def add_message( + self, sender: Text, sender_name: Text, text: Text, session_id: Text, metadata: dict | None = None, **kwargs + ): + """ + Adds a message to the ZepChatMessageHistory memory. + + Args: + sender (Text): The type of the message sender. Valid values are "Machine" or "User". + sender_name (Text): The name of the message sender. + text (Text): The content of the message. + session_id (Text): The session ID associated with the message. + metadata (dict | None, optional): Additional metadata for the message. Defaults to None. + **kwargs: Additional keyword arguments. + + Raises: + ValueError: If the ZepChatMessageHistory instance is not provided. + + """ + memory: ZepChatMessageHistory | None = kwargs.pop("memory", None) + if memory is None: + raise ValueError("ZepChatMessageHistory instance is required.") + if metadata is None: + metadata = {} + metadata["sender_name"] = sender_name + metadata.update(kwargs) + if sender == "Machine": + memory.add_ai_message(text, metadata=metadata) + elif sender == "User": + memory.add_user_message(text, metadata=metadata) + else: + raise ValueError(f"Invalid sender type: {sender}") + + def build( + self, + input_value: Record, + session_id: Text, + url: Optional[Text] = None, + api_key: Optional[Text] = None, + ) -> Record: + try: + from zep_python import ZepClient + from zep_python.langchain import ZepChatMessageHistory + except ImportError: + raise ImportError( + "Could not import zep-python package. " "Please install it with `pip install zep-python`." + ) + if url == "": + url = None + zep_client = ZepClient(api_url=url, api_key=api_key) + memory = ZepChatMessageHistory(session_id=session_id, zep_client=zep_client) + self.add_message(**input_value.data, memory=memory) + self.status = f"Added message to Zep memory for session {session_id}" + return input_value diff --git a/src/backend/base/langflow/components/models/AzureOpenAIModel.py b/src/backend/base/langflow/components/models/AzureOpenAIModel.py index b6d3607f3..a2ee20b28 100644 --- a/src/backend/base/langflow/components/models/AzureOpenAIModel.py +++ b/src/backend/base/langflow/components/models/AzureOpenAIModel.py @@ -1,6 +1,5 @@ from typing import Optional -from langchain.llms.base import BaseLanguageModel from langchain_openai import AzureChatOpenAI from pydantic.v1 import SecretStr diff --git a/src/backend/base/langflow/components/models/ChatLiteLLMModel.py b/src/backend/base/langflow/components/models/ChatLiteLLMModel.py index 23ac483cb..95574f0a5 100644 --- a/src/backend/base/langflow/components/models/ChatLiteLLMModel.py +++ b/src/backend/base/langflow/components/models/ChatLiteLLMModel.py @@ -4,7 +4,7 @@ from langchain_community.chat_models.litellm import ChatLiteLLM, ChatLiteLLMExce from langflow.base.constants import STREAM_INFO_TEXT from langflow.base.models.model import LCModelComponent -from langflow.field_typing import BaseLanguageModel, Text +from langflow.field_typing import Text class ChatLiteLLMModelComponent(LCModelComponent): diff --git a/src/backend/base/langflow/components/outputs/CSVOutput.py b/src/backend/base/langflow/components/outputs/CSVOutput.py new file mode 100644 index 000000000..711a6ab96 --- /dev/null +++ b/src/backend/base/langflow/components/outputs/CSVOutput.py @@ -0,0 +1,17 @@ +from typing import Optional + +from langflow.base.io.text import TextComponent +from langflow.field_typing import Text, Data + + +class CSVOutput(TextComponent): + display_name = "CSV Output" + description = "Used view csv files" + + field_config = { + "input_value": {"display_name": "csv","info":"A csv blob","input_types":["Data"]}, + "separator": {"display_name": "separator","info":"The separator used in the csv file","input_types":["Text"], "field_type":"Text","default_value":";","options":[";", ",", "|"]}, + } + + def build(self, input_value: Data, separator) -> Data: + return {"data": input_value, "separator": separator} diff --git a/src/backend/base/langflow/components/outputs/ChatOutput.py b/src/backend/base/langflow/components/outputs/ChatOutput.py index 888b85025..7994c9ded 100644 --- a/src/backend/base/langflow/components/outputs/ChatOutput.py +++ b/src/backend/base/langflow/components/outputs/ChatOutput.py @@ -7,7 +7,7 @@ from langflow.schema import Record class ChatOutput(ChatComponent): display_name = "Chat Output" - description = "Display a chat message in the Interaction Panel." + description = "Display a chat message in the Playground." icon = "ChatOutput" def build( diff --git a/src/backend/base/langflow/components/outputs/ImageOutput.py b/src/backend/base/langflow/components/outputs/ImageOutput.py new file mode 100644 index 000000000..f50fb7bf7 --- /dev/null +++ b/src/backend/base/langflow/components/outputs/ImageOutput.py @@ -0,0 +1,15 @@ +from typing import Optional + +from langflow.base.io.text import TextComponent +from langflow.field_typing import Text + +class ImageOutput(TextComponent): + display_name = "Image Output" + description = "Used view image files" + + field_config = { + "input_value": {"display_name": "image","info":"A image url","input_types":["Text"]}, + } + + def build(self, input_value: Text) -> Text: + return input_value \ No newline at end of file diff --git a/src/backend/base/langflow/components/outputs/JsonOutput.py b/src/backend/base/langflow/components/outputs/JsonOutput.py new file mode 100644 index 000000000..cbbc10ddc --- /dev/null +++ b/src/backend/base/langflow/components/outputs/JsonOutput.py @@ -0,0 +1,17 @@ +from langflow.base.io.text import TextComponent +from langflow.field_typing.constants import Data, NestedDict + +class JsonOutput(TextComponent): + display_name = "JSON Output" + description = "JSON Output." + + def build_config(self): + return { + "input_value": { + "display_name": "JSON", + "field_type": "NestedDict" + } + } + + def build(self, input_value: NestedDict) -> NestedDict: + return input_value diff --git a/src/backend/base/langflow/components/outputs/KeyPairOutput.py b/src/backend/base/langflow/components/outputs/KeyPairOutput.py new file mode 100644 index 000000000..f2204bb83 --- /dev/null +++ b/src/backend/base/langflow/components/outputs/KeyPairOutput.py @@ -0,0 +1,19 @@ +from langflow.base.io.text import TextComponent +from langflow.field_typing.constants import Data + + +class KeyPairOutput(TextComponent): + display_name = "Dictionary Output" + description = "Dictionary Output." + + def build_config(self): + return { + "input_value": { + "display_name": "Dictionaries", + "field_type": "dict", + "list": True + } + } + + def build(self, input_value: dict) -> dict: + return input_value diff --git a/src/backend/base/langflow/components/outputs/PDFOutput.py b/src/backend/base/langflow/components/outputs/PDFOutput.py new file mode 100644 index 000000000..75e1fabf4 --- /dev/null +++ b/src/backend/base/langflow/components/outputs/PDFOutput.py @@ -0,0 +1,16 @@ +from typing import Optional + +from langflow.base.io.text import TextComponent +from langflow.field_typing import Text + + +class PDFOutput(TextComponent): + display_name = "PDF Output" + description = "Used view pdf files" + + field_config = { + "input_value": {"display_name": "pdf","info":"A pdf url","input_types":["Text"]}, + } + + def build(self, input_value: Text) -> Text: + return input_value diff --git a/src/backend/base/langflow/components/outputs/StringListOutput.py b/src/backend/base/langflow/components/outputs/StringListOutput.py new file mode 100644 index 000000000..3b1ff6088 --- /dev/null +++ b/src/backend/base/langflow/components/outputs/StringListOutput.py @@ -0,0 +1,13 @@ +# from langflow.field_typing import Data +from langflow.schema import Record +from langflow.interface.custom.custom_component import CustomComponent + + +class StringListOutput(CustomComponent): + display_name = "String List Output" + + def build_config(self): + return {"input_value": {"display_name": "String List Output", "field_type": "str", "list": True}} + + def build(self, input_value: list) -> Record: + return Record(data=input_value) \ No newline at end of file diff --git a/src/backend/base/langflow/components/outputs/TextOutput.py b/src/backend/base/langflow/components/outputs/TextOutput.py index 8d14ee357..0d55621b2 100644 --- a/src/backend/base/langflow/components/outputs/TextOutput.py +++ b/src/backend/base/langflow/components/outputs/TextOutput.py @@ -6,7 +6,7 @@ from langflow.field_typing import Text class TextOutput(TextComponent): display_name = "Text Output" - description = "Display a text output in the Interaction Panel." + description = "Display a text output in the Playground." icon = "type" def build_config(self): diff --git a/src/backend/base/langflow/components/vectorsearch/WeaviateSearch.py b/src/backend/base/langflow/components/vectorsearch/WeaviateSearch.py index f47538f2e..fd5ccd1aa 100644 --- a/src/backend/base/langflow/components/vectorsearch/WeaviateSearch.py +++ b/src/backend/base/langflow/components/vectorsearch/WeaviateSearch.py @@ -61,10 +61,10 @@ class WeaviateSearchVectorStore(WeaviateVectorStoreComponent, LCVectorStoreCompo input_value: Text, search_type: str, url: str, + index_name: str, number_of_results: int = 4, search_by_text: bool = False, api_key: Optional[str] = None, - index_name: Optional[str] = None, text_key: str = "text", embedding: Optional[Embeddings] = None, attributes: Optional[list] = None, diff --git a/src/backend/base/langflow/components/vectorstores/Weaviate.py b/src/backend/base/langflow/components/vectorstores/Weaviate.py index 3362a3fca..99ede77f7 100644 --- a/src/backend/base/langflow/components/vectorstores/Weaviate.py +++ b/src/backend/base/langflow/components/vectorstores/Weaviate.py @@ -4,6 +4,7 @@ import weaviate # type: ignore from langchain.embeddings.base import Embeddings from langchain.schema import BaseRetriever from langchain_community.vectorstores import VectorStore, Weaviate +from langchain_core.documents import Document from langflow.interface.custom.custom_component import CustomComponent from langflow.schema.schema import Record @@ -50,9 +51,9 @@ class WeaviateVectorStoreComponent(CustomComponent): def build( self, url: str, + index_name: str, search_by_text: bool = False, api_key: Optional[str] = None, - index_name: Optional[str] = None, text_key: str = "text", embedding: Optional[Embeddings] = None, inputs: Optional[Record] = None, @@ -78,11 +79,13 @@ class WeaviateVectorStoreComponent(CustomComponent): return pascal_case_word index_name = _to_pascal_case(index_name) if index_name else None - documents = [] + if not index_name: + raise ValueError("Index name is required") + documents: list[Document] = [] for _input in inputs or []: if isinstance(_input, Record): documents.append(_input.to_lc_document()) - else: + elif isinstance(_input, Document): documents.append(_input) if documents and embedding is not None: diff --git a/src/backend/base/langflow/config.yaml b/src/backend/base/langflow/config.yaml index 102cb9016..ac9a7456b 100644 --- a/src/backend/base/langflow/config.yaml +++ b/src/backend/base/langflow/config.yaml @@ -232,3 +232,4 @@ output_parsers: custom_components: CustomComponent: documentation: "https://docs.langflow.org/guidelines/custom-component" + # documentation: "https://docs.langflow.org/administration/custom-component" diff --git a/src/backend/base/langflow/graph/graph/base.py b/src/backend/base/langflow/graph/graph/base.py index a0661f4f2..bddfd6795 100644 --- a/src/backend/base/langflow/graph/graph/base.py +++ b/src/backend/base/langflow/graph/graph/base.py @@ -3,7 +3,7 @@ import uuid from collections import defaultdict, deque from functools import partial from itertools import chain -from typing import TYPE_CHECKING, Callable, Coroutine, Dict, Generator, List, Optional, Type, Union +from typing import TYPE_CHECKING, Callable, Coroutine, Dict, Generator, List, Optional, Tuple, Type, Union from loguru import logger @@ -14,7 +14,7 @@ from langflow.graph.graph.state_manager import GraphStateManager from langflow.graph.graph.utils import process_flow from langflow.graph.schema import InterfaceComponentTypes, RunOutputs from langflow.graph.vertex.base import Vertex -from langflow.graph.vertex.types import ChatVertex, FileToolVertex, LLMVertex, RoutingVertex, StateVertex, ToolkitVertex +from langflow.graph.vertex.types import ChatVertex, FileToolVertex, LLMVertex, StateVertex, ToolkitVertex from langflow.interface.tools.constants import FILE_TOOLS from langflow.schema import Record from langflow.schema.schema import INPUT_FIELD_NAME, InputType @@ -75,7 +75,7 @@ class Graph: self.vertices: List[Vertex] = [] self.run_manager = RunnableVerticesManager() self._build_graph() - self.build_graph_maps() + self.build_graph_maps(self.edges) self.define_vertices_lists() self.state_manager = GraphStateManager() @@ -130,6 +130,18 @@ class Graph: ): vertices_ids.append(vertex_id) successors = self.get_all_successors(vertex, flat=True) + # Update run_manager.run_predecessors because we are activating vertices + # The run_prdecessors is the predecessor map of the vertices + # we remove the vertex_id from the predecessor map whenever we run a vertex + # So we need to get all edges of the vertex and successors + # and run self.build_adjacency_maps(edges) to get the new predecessor map + # that is not complete but we can use to update the run_predecessors + edges_set = set() + for vertex in [vertex] + successors: + edges_set.update(vertex.edges) + edges = list(edges_set) + new_predecessor_map, _ = self.build_adjacency_maps(edges) + self.run_manager.run_predecessors.update(new_predecessor_map) self.vertices_to_run.update(list(map(lambda x: x.id, successors))) self.activated_vertices = vertices_ids self.vertices_to_run.update(vertices_ids) @@ -401,14 +413,20 @@ class Graph: "inactivated_vertices": self.inactivated_vertices, } - def build_graph_maps(self): + def build_graph_maps(self, edges: Optional[List[ContractEdge]] = None, vertices: Optional[List[Vertex]] = None): """ Builds the adjacency maps for the graph. """ - self.predecessor_map, self.successor_map = self.build_adjacency_maps() + if edges is None: + edges = self.edges - self.in_degree_map = self.build_in_degree() - self.parent_child_map = self.build_parent_child_map() + if vertices is None: + vertices = self.vertices + + self.predecessor_map, self.successor_map = self.build_adjacency_maps(edges) + + self.in_degree_map = self.build_in_degree(edges) + self.parent_child_map = self.build_parent_child_map(vertices) def reset_inactivated_vertices(self): """ @@ -433,9 +451,9 @@ class Graph: for child_id in self.parent_child_map[vertex_id]: self.mark_branch(child_id, state) - def build_parent_child_map(self): + def build_parent_child_map(self, vertices: List[Vertex]): parent_child_map = defaultdict(list) - for vertex in self.vertices: + for vertex in vertices: parent_child_map[vertex.id] = [child.id for child in self.get_successors(vertex)] return parent_child_map @@ -559,6 +577,7 @@ class Graph: self.update_vertex_from_another(self_vertex, other_vertex) self.build_graph_maps() + self.define_vertices_lists() self.increment_update_count() return self @@ -944,8 +963,6 @@ class Graph: node_name = node_id.split("-")[0] if node_name in ["ChatOutput", "ChatInput"]: return ChatVertex - elif node_name in ["ShouldRunNext"]: - return RoutingVertex elif node_name in ["SharedState", "Notify", "Listen"]: return StateVertex elif node_base_type in lazy_load_vertex_dict.VERTEX_TYPE_MAP: @@ -1277,17 +1294,17 @@ class Graph: def remove_from_predecessors(self, vertex_id: str): self.run_manager.remove_from_predecessors(vertex_id) - def build_in_degree(self): - in_degree = defaultdict(int) - for edge in self.edges: + def build_in_degree(self, edges: List[ContractEdge]) -> Dict[str, int]: + in_degree: Dict[str, int] = defaultdict(int) + for edge in edges: in_degree[edge.target_id] += 1 return in_degree - def build_adjacency_maps(self): + def build_adjacency_maps(self, edges: List[ContractEdge]) -> Tuple[Dict[str, List[str]], Dict[str, List[str]]]: """Returns the adjacency maps for the graph.""" predecessor_map = defaultdict(list) successor_map = defaultdict(list) - for edge in self.edges: + for edge in edges: predecessor_map[edge.target_id].append(edge.source_id) successor_map[edge.source_id].append(edge.target_id) return predecessor_map, successor_map diff --git a/src/backend/base/langflow/graph/graph/constants.py b/src/backend/base/langflow/graph/graph/constants.py index 658c3c68a..f948a0753 100644 --- a/src/backend/base/langflow/graph/graph/constants.py +++ b/src/backend/base/langflow/graph/graph/constants.py @@ -15,7 +15,6 @@ from langflow.interface.wrappers.base import wrapper_creator from langflow.utils.lazy_load import LazyLoadDictBase CHAT_COMPONENTS = ["ChatInput", "ChatOutput", "TextInput", "SessionID"] -ROUTING_COMPONENTS = ["ShouldRunNext"] class VertexTypesDict(LazyLoadDictBase): @@ -51,7 +50,6 @@ class VertexTypesDict(LazyLoadDictBase): **{t: types.CustomComponentVertex for t in custom_component_creator.to_list()}, **{t: types.RetrieverVertex for t in retriever_creator.to_list()}, **{t: types.ChatVertex for t in CHAT_COMPONENTS}, - **{t: types.RoutingVertex for t in ROUTING_COMPONENTS}, } def get_custom_component_vertex_type(self): diff --git a/src/backend/base/langflow/graph/graph/runnable_vertices_manager.py b/src/backend/base/langflow/graph/graph/runnable_vertices_manager.py index 875f43472..713aead65 100644 --- a/src/backend/base/langflow/graph/graph/runnable_vertices_manager.py +++ b/src/backend/base/langflow/graph/graph/runnable_vertices_manager.py @@ -15,6 +15,7 @@ class RunnableVerticesManager: def is_vertex_runnable(self, vertex_id: str) -> bool: """Determines if a vertex is runnable.""" + return vertex_id in self.vertices_to_run and not self.run_predecessors.get(vertex_id) def find_runnable_predecessors_for_successors(self, vertex_id: str) -> List[str]: diff --git a/src/backend/base/langflow/graph/vertex/base.py b/src/backend/base/langflow/graph/vertex/base.py index f300b2dda..e250e9419 100644 --- a/src/backend/base/langflow/graph/vertex/base.py +++ b/src/backend/base/langflow/graph/vertex/base.py @@ -72,7 +72,6 @@ class Vertex: self.load_from_db_fields: List[str] = [] self.parent_is_top_level = False self.layer = None - self.should_run = True self.result: Optional[ResultData] = None try: self.is_interface_component = self.vertex_type in InterfaceComponentTypes diff --git a/src/backend/base/langflow/graph/vertex/types.py b/src/backend/base/langflow/graph/vertex/types.py index d7a98df8a..87f4856b2 100644 --- a/src/backend/base/langflow/graph/vertex/types.py +++ b/src/backend/base/langflow/graph/vertex/types.py @@ -1,6 +1,7 @@ import ast import json from typing import AsyncIterator, Callable, Dict, Iterator, List, Optional, Union + import yaml from langchain_core.messages import AIMessage from loguru import logger @@ -438,41 +439,6 @@ class ChatVertex(Vertex): return self.vertex_type == InterfaceComponentTypes.ChatInput and self.is_input -class RoutingVertex(Vertex): - def __init__(self, data: Dict, graph): - super().__init__(data, graph=graph, base_type="custom_components") - self.use_result = True - self.steps = [self._build] - - def _built_object_repr(self): - if self.artifacts and "repr" in self.artifacts: - return self.artifacts["repr"] or super()._built_object_repr() - return super()._built_object_repr() - - @property - def successors_ids(self): - if isinstance(self._built_object, bool): - ids = super().successors_ids - if self._built_object: - return ids - return [] - raise ValueError("RoutingVertex should return a boolean value.") - - def _run(self, *args, **kwargs): - if self._built_object: - condition = self._built_object.get("condition") - result = self._built_object.get("result") - if condition is None: - raise ValueError("Condition is required for the routing vertex.") - if result is None: - raise ValueError("Result is required for the routing vertex.") - if condition is True: - self._built_result = result - else: - self.graph.mark_branch(self.id, "INACTIVE") - self._built_result = None - - class StateVertex(Vertex): def __init__(self, data: Dict, graph): super().__init__(data, graph=graph, base_type="custom_components") diff --git a/src/backend/base/langflow/initial_setup/starter_projects/Basic Prompting (Hello, world!).json b/src/backend/base/langflow/initial_setup/starter_projects/Basic Prompting (Hello, world!).json index fce13f449..adda95d44 100644 --- a/src/backend/base/langflow/initial_setup/starter_projects/Basic Prompting (Hello, world!).json +++ b/src/backend/base/langflow/initial_setup/starter_projects/Basic Prompting (Hello, world!).json @@ -421,7 +421,7 @@ "list": false, "show": true, "multiline": true, - "value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Interaction Panel.\"\n icon = \"ChatOutput\"\n\n def build(\n self,\n sender: Optional[str] = \"Machine\",\n sender_name: Optional[str] = \"AI\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n record_template: Optional[str] = \"{text}\",\n ) -> Union[Text, Record]:\n return super().build_with_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n record_template=record_template or \"\",\n )\n", + "value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n\n def build(\n self,\n sender: Optional[str] = \"Machine\",\n sender_name: Optional[str] = \"AI\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n record_template: Optional[str] = \"{text}\",\n ) -> Union[Text, Record]:\n return super().build_with_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n record_template=record_template or \"\",\n )\n", "fileTypes": [], "file_path": "", "password": false, @@ -565,7 +565,7 @@ }, "_type": "CustomComponent" }, - "description": "Display a chat message in the Interaction Panel.", + "description": "Display a chat message in the Playground.", "icon": "ChatOutput", "base_classes": [ "Record", @@ -621,7 +621,7 @@ "list": false, "show": true, "multiline": true, - "value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatInput(ChatComponent):\n display_name = \"Chat Input\"\n description = \"Get chat inputs from the Interaction Panel.\"\n icon = \"ChatInput\"\n\n def build_config(self):\n build_config = super().build_config()\n build_config[\"input_value\"] = {\n \"input_types\": [],\n \"display_name\": \"Message\",\n \"multiline\": True,\n }\n\n return build_config\n\n def build(\n self,\n sender: Optional[str] = \"User\",\n sender_name: Optional[str] = \"User\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n ) -> Union[Text, Record]:\n return super().build_no_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n )\n", + "value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatInput(ChatComponent):\n display_name = \"Chat Input\"\n description = \"Get chat inputs from the Playground.\"\n icon = \"ChatInput\"\n\n def build_config(self):\n build_config = super().build_config()\n build_config[\"input_value\"] = {\n \"input_types\": [],\n \"display_name\": \"Message\",\n \"multiline\": True,\n }\n\n return build_config\n\n def build(\n self,\n sender: Optional[str] = \"User\",\n sender_name: Optional[str] = \"User\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n ) -> Union[Text, Record]:\n return super().build_no_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n )\n", "fileTypes": [], "file_path": "", "password": false, @@ -742,7 +742,7 @@ }, "_type": "CustomComponent" }, - "description": "Get chat inputs from the Interaction Panel.", + "description": "Get chat inputs from the Playground.", "icon": "ChatInput", "base_classes": [ "object", diff --git a/src/backend/base/langflow/initial_setup/starter_projects/Langflow Blog Writter.json b/src/backend/base/langflow/initial_setup/starter_projects/Langflow Blog Writter.json index 8aa19c3df..178b7a6b3 100644 --- a/src/backend/base/langflow/initial_setup/starter_projects/Langflow Blog Writter.json +++ b/src/backend/base/langflow/initial_setup/starter_projects/Langflow Blog Writter.json @@ -278,7 +278,7 @@ "list": false, "show": true, "multiline": true, - "value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Interaction Panel.\"\n icon = \"ChatOutput\"\n\n def build(\n self,\n sender: Optional[str] = \"Machine\",\n sender_name: Optional[str] = \"AI\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n record_template: Optional[str] = \"{text}\",\n ) -> Union[Text, Record]:\n return super().build_with_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n record_template=record_template or \"\",\n )\n", + "value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n\n def build(\n self,\n sender: Optional[str] = \"Machine\",\n sender_name: Optional[str] = \"AI\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n record_template: Optional[str] = \"{text}\",\n ) -> Union[Text, Record]:\n return super().build_with_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n record_template=record_template or \"\",\n )\n", "fileTypes": [], "file_path": "", "password": false, @@ -422,7 +422,7 @@ }, "_type": "CustomComponent" }, - "description": "Display a chat message in the Interaction Panel.", + "description": "Display a chat message in the Playground.", "icon": "ChatOutput", "base_classes": [ "Text", @@ -836,7 +836,7 @@ "list": false, "show": true, "multiline": true, - "value": "from typing import Optional\n\nfrom langflow.base.io.text import TextComponent\nfrom langflow.field_typing import Text\n\n\nclass TextInput(TextComponent):\n display_name = \"Text Input\"\n description = \"Get text inputs from the Interaction Panel.\"\n icon = \"type\"\n\n def build_config(self):\n return {\n \"input_value\": {\n \"display_name\": \"Value\",\n \"input_types\": [\"Record\", \"Text\"],\n \"info\": \"Text or Record to be passed as input.\",\n },\n \"record_template\": {\n \"display_name\": \"Record Template\",\n \"multiline\": True,\n \"info\": \"Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Optional[str] = \"\",\n record_template: Optional[str] = \"\",\n ) -> Text:\n return super().build(input_value=input_value, record_template=record_template)\n", + "value": "from typing import Optional\n\nfrom langflow.base.io.text import TextComponent\nfrom langflow.field_typing import Text\n\n\nclass TextInput(TextComponent):\n display_name = \"Text Input\"\n description = \"Get text inputs from the Playground.\"\n icon = \"type\"\n\n def build_config(self):\n return {\n \"input_value\": {\n \"display_name\": \"Value\",\n \"input_types\": [\"Record\", \"Text\"],\n \"info\": \"Text or Record to be passed as input.\",\n },\n \"record_template\": {\n \"display_name\": \"Record Template\",\n \"multiline\": True,\n \"info\": \"Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Optional[str] = \"\",\n record_template: Optional[str] = \"\",\n ) -> Text:\n return super().build(input_value=input_value, record_template=record_template)\n", "fileTypes": [], "file_path": "", "password": false, @@ -894,7 +894,7 @@ }, "_type": "CustomComponent" }, - "description": "Get text inputs from the Interaction Panel.", + "description": "Get text inputs from the Playground.", "icon": "type", "base_classes": [ "object", diff --git a/src/backend/base/langflow/initial_setup/starter_projects/Langflow Document QA.json b/src/backend/base/langflow/initial_setup/starter_projects/Langflow Document QA.json index 8291b96b4..c8713d49e 100644 --- a/src/backend/base/langflow/initial_setup/starter_projects/Langflow Document QA.json +++ b/src/backend/base/langflow/initial_setup/starter_projects/Langflow Document QA.json @@ -277,7 +277,7 @@ "list": false, "show": true, "multiline": true, - "value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatInput(ChatComponent):\n display_name = \"Chat Input\"\n description = \"Get chat inputs from the Interaction Panel.\"\n icon = \"ChatInput\"\n\n def build_config(self):\n build_config = super().build_config()\n build_config[\"input_value\"] = {\n \"input_types\": [],\n \"display_name\": \"Message\",\n \"multiline\": True,\n }\n\n return build_config\n\n def build(\n self,\n sender: Optional[str] = \"User\",\n sender_name: Optional[str] = \"User\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n ) -> Union[Text, Record]:\n return super().build_no_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n )\n", + "value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatInput(ChatComponent):\n display_name = \"Chat Input\"\n description = \"Get chat inputs from the Playground.\"\n icon = \"ChatInput\"\n\n def build_config(self):\n build_config = super().build_config()\n build_config[\"input_value\"] = {\n \"input_types\": [],\n \"display_name\": \"Message\",\n \"multiline\": True,\n }\n\n return build_config\n\n def build(\n self,\n sender: Optional[str] = \"User\",\n sender_name: Optional[str] = \"User\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n ) -> Union[Text, Record]:\n return super().build_no_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n )\n", "fileTypes": [], "file_path": "", "password": false, @@ -398,7 +398,7 @@ }, "_type": "CustomComponent" }, - "description": "Get chat inputs from the Interaction Panel.", + "description": "Get chat inputs from the Playground.", "icon": "ChatInput", "base_classes": [ "str", @@ -453,7 +453,7 @@ "list": false, "show": true, "multiline": true, - "value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Interaction Panel.\"\n icon = \"ChatOutput\"\n\n def build(\n self,\n sender: Optional[str] = \"Machine\",\n sender_name: Optional[str] = \"AI\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n record_template: Optional[str] = \"{text}\",\n ) -> Union[Text, Record]:\n return super().build_with_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n record_template=record_template or \"\",\n )\n", + "value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n\n def build(\n self,\n sender: Optional[str] = \"Machine\",\n sender_name: Optional[str] = \"AI\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n record_template: Optional[str] = \"{text}\",\n ) -> Union[Text, Record]:\n return super().build_with_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n record_template=record_template or \"\",\n )\n", "fileTypes": [], "file_path": "", "password": false, @@ -575,7 +575,7 @@ }, "_type": "CustomComponent" }, - "description": "Display a chat message in the Interaction Panel.", + "description": "Display a chat message in the Playground.", "icon": "ChatOutput", "base_classes": [ "str", diff --git a/src/backend/base/langflow/initial_setup/starter_projects/Langflow Memory Conversation.json b/src/backend/base/langflow/initial_setup/starter_projects/Langflow Memory Conversation.json index 10cb1d8c2..5cee452e4 100644 --- a/src/backend/base/langflow/initial_setup/starter_projects/Langflow Memory Conversation.json +++ b/src/backend/base/langflow/initial_setup/starter_projects/Langflow Memory Conversation.json @@ -22,7 +22,7 @@ "list": false, "show": true, "multiline": true, - "value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatInput(ChatComponent):\n display_name = \"Chat Input\"\n description = \"Get chat inputs from the Interaction Panel.\"\n icon = \"ChatInput\"\n\n def build_config(self):\n build_config = super().build_config()\n build_config[\"input_value\"] = {\n \"input_types\": [],\n \"display_name\": \"Message\",\n \"multiline\": True,\n }\n\n return build_config\n\n def build(\n self,\n sender: Optional[str] = \"User\",\n sender_name: Optional[str] = \"User\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n ) -> Union[Text, Record]:\n return super().build_no_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n )\n", + "value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatInput(ChatComponent):\n display_name = \"Chat Input\"\n description = \"Get chat inputs from the Playground.\"\n icon = \"ChatInput\"\n\n def build_config(self):\n build_config = super().build_config()\n build_config[\"input_value\"] = {\n \"input_types\": [],\n \"display_name\": \"Message\",\n \"multiline\": True,\n }\n\n return build_config\n\n def build(\n self,\n sender: Optional[str] = \"User\",\n sender_name: Optional[str] = \"User\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n ) -> Union[Text, Record]:\n return super().build_no_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n )\n", "fileTypes": [], "file_path": "", "password": false, @@ -144,7 +144,7 @@ }, "_type": "CustomComponent" }, - "description": "Get chat inputs from the Interaction Panel.", + "description": "Get chat inputs from the Playground.", "icon": "ChatInput", "base_classes": [ "Text", @@ -199,7 +199,7 @@ "list": false, "show": true, "multiline": true, - "value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Interaction Panel.\"\n icon = \"ChatOutput\"\n\n def build(\n self,\n sender: Optional[str] = \"Machine\",\n sender_name: Optional[str] = \"AI\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n record_template: Optional[str] = \"{text}\",\n ) -> Union[Text, Record]:\n return super().build_with_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n record_template=record_template or \"\",\n )\n", + "value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n\n def build(\n self,\n sender: Optional[str] = \"Machine\",\n sender_name: Optional[str] = \"AI\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n record_template: Optional[str] = \"{text}\",\n ) -> Union[Text, Record]:\n return super().build_with_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n record_template=record_template or \"\",\n )\n", "fileTypes": [], "file_path": "", "password": false, @@ -322,7 +322,7 @@ }, "_type": "CustomComponent" }, - "description": "Display a chat message in the Interaction Panel.", + "description": "Display a chat message in the Playground.", "icon": "ChatOutput", "base_classes": [ "Text", @@ -377,7 +377,7 @@ "list": false, "show": true, "multiline": true, - "value": "from typing import Optional\n\nfrom langflow.field_typing import Text\nfrom langflow.helpers.record import records_to_text\nfrom langflow.interface.custom.custom_component import CustomComponent\nfrom langflow.memory import get_messages\n\n\nclass MemoryComponent(CustomComponent):\n display_name = \"Chat Memory\"\n description = \"Retrieves stored chat messages given a specific Session ID.\"\n beta: bool = True\n icon = \"history\"\n\n def build_config(self):\n return {\n \"sender\": {\n \"options\": [\"Machine\", \"User\", \"Machine and User\"],\n \"display_name\": \"Sender Type\",\n },\n \"sender_name\": {\"display_name\": \"Sender Name\", \"advanced\": True},\n \"n_messages\": {\n \"display_name\": \"Number of Messages\",\n \"info\": \"Number of messages to retrieve.\",\n },\n \"session_id\": {\n \"display_name\": \"Session ID\",\n \"info\": \"Session ID of the chat history.\",\n \"input_types\": [\"Text\"],\n },\n \"order\": {\n \"options\": [\"Ascending\", \"Descending\"],\n \"display_name\": \"Order\",\n \"info\": \"Order of the messages.\",\n \"advanced\": True,\n },\n \"record_template\": {\n \"display_name\": \"Record Template\",\n \"multiline\": True,\n \"info\": \"Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n sender: Optional[str] = \"Machine and User\",\n sender_name: Optional[str] = None,\n session_id: Optional[str] = None,\n n_messages: int = 5,\n order: Optional[str] = \"Descending\",\n record_template: Optional[str] = \"{sender_name}: {text}\",\n ) -> Text:\n order = \"DESC\" if order == \"Descending\" else \"ASC\"\n if sender == \"Machine and User\":\n sender = None\n messages = get_messages(\n sender=sender,\n sender_name=sender_name,\n session_id=session_id,\n limit=n_messages,\n order=order,\n )\n messages_str = records_to_text(template=record_template or \"\", records=messages)\n self.status = messages_str\n return messages_str\n", + "value": "from typing import Optional\n\nfrom langflow.base.memory.memory import BaseMemoryComponent\nfrom langflow.field_typing import Text\nfrom langflow.helpers.record import records_to_text\nfrom langflow.memory import get_messages\nfrom langflow.schema.schema import Record\n\n\nclass MemoryComponent(BaseMemoryComponent):\n display_name = \"Chat Memory\"\n description = \"Retrieves stored chat messages given a specific Session ID.\"\n beta: bool = True\n icon = \"history\"\n\n def build_config(self):\n return {\n \"sender\": {\n \"options\": [\"Machine\", \"User\", \"Machine and User\"],\n \"display_name\": \"Sender Type\",\n },\n \"sender_name\": {\"display_name\": \"Sender Name\", \"advanced\": True},\n \"n_messages\": {\n \"display_name\": \"Number of Messages\",\n \"info\": \"Number of messages to retrieve.\",\n },\n \"session_id\": {\n \"display_name\": \"Session ID\",\n \"info\": \"Session ID of the chat history.\",\n \"input_types\": [\"Text\"],\n },\n \"order\": {\n \"options\": [\"Ascending\", \"Descending\"],\n \"display_name\": \"Order\",\n \"info\": \"Order of the messages.\",\n \"advanced\": True,\n },\n \"record_template\": {\n \"display_name\": \"Record Template\",\n \"multiline\": True,\n \"info\": \"Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.\",\n \"advanced\": True,\n },\n }\n\n def get_messages(self, **kwargs) -> list[Record]:\n # Validate kwargs by checking if it contains the correct keys\n if \"sender\" not in kwargs:\n kwargs[\"sender\"] = None\n if \"sender_name\" not in kwargs:\n kwargs[\"sender_name\"] = None\n if \"session_id\" not in kwargs:\n kwargs[\"session_id\"] = None\n if \"limit\" not in kwargs:\n kwargs[\"limit\"] = 5\n if \"order\" not in kwargs:\n kwargs[\"order\"] = \"Descending\"\n\n kwargs[\"order\"] = \"DESC\" if kwargs[\"order\"] == \"Descending\" else \"ASC\"\n if kwargs[\"sender\"] == \"Machine and User\":\n kwargs[\"sender\"] = None\n return get_messages(**kwargs)\n\n def build(\n self,\n sender: Optional[str] = \"Machine and User\",\n sender_name: Optional[str] = None,\n session_id: Optional[str] = None,\n n_messages: int = 5,\n order: Optional[str] = \"Descending\",\n record_template: Optional[str] = \"{sender_name}: {text}\",\n ) -> Text:\n messages = self.get_messages(\n sender=sender,\n sender_name=sender_name,\n session_id=session_id,\n limit=n_messages,\n order=order,\n )\n messages_str = records_to_text(template=record_template or \"\", records=messages)\n self.status = messages_str\n return messages_str\n", "fileTypes": [], "file_path": "", "password": false, @@ -1032,7 +1032,7 @@ "list": false, "show": true, "multiline": true, - "value": "from typing import Optional\n\nfrom langflow.base.io.text import TextComponent\nfrom langflow.field_typing import Text\n\n\nclass TextOutput(TextComponent):\n display_name = \"Text Output\"\n description = \"Display a text output in the Interaction Panel.\"\n icon = \"type\"\n\n def build_config(self):\n return {\n \"input_value\": {\n \"display_name\": \"Value\",\n \"input_types\": [\"Record\", \"Text\"],\n \"info\": \"Text or Record to be passed as output.\",\n },\n \"record_template\": {\n \"display_name\": \"Record Template\",\n \"multiline\": True,\n \"info\": \"Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.\",\n \"advanced\": True,\n },\n }\n\n def build(self, input_value: Optional[Text] = \"\", record_template: str = \"\") -> Text:\n return super().build(input_value=input_value, record_template=record_template)\n", + "value": "from typing import Optional\n\nfrom langflow.base.io.text import TextComponent\nfrom langflow.field_typing import Text\n\n\nclass TextOutput(TextComponent):\n display_name = \"Text Output\"\n description = \"Display a text output in the Playground.\"\n icon = \"type\"\n\n def build_config(self):\n return {\n \"input_value\": {\n \"display_name\": \"Value\",\n \"input_types\": [\"Record\", \"Text\"],\n \"info\": \"Text or Record to be passed as output.\",\n },\n \"record_template\": {\n \"display_name\": \"Record Template\",\n \"multiline\": True,\n \"info\": \"Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.\",\n \"advanced\": True,\n },\n }\n\n def build(self, input_value: Optional[Text] = \"\", record_template: str = \"\") -> Text:\n return super().build(input_value=input_value, record_template=record_template)\n", "fileTypes": [], "file_path": "", "password": false, @@ -1067,7 +1067,7 @@ }, "_type": "CustomComponent" }, - "description": "Display a text output in the Interaction Panel.", + "description": "Display a text output in the Playground.", "icon": "type", "base_classes": [ "str", diff --git a/src/backend/base/langflow/initial_setup/starter_projects/Langflow Prompt Chaining.json b/src/backend/base/langflow/initial_setup/starter_projects/Langflow Prompt Chaining.json index 690c22e1e..e4f6b2d2c 100644 --- a/src/backend/base/langflow/initial_setup/starter_projects/Langflow Prompt Chaining.json +++ b/src/backend/base/langflow/initial_setup/starter_projects/Langflow Prompt Chaining.json @@ -256,7 +256,7 @@ "list": false, "show": true, "multiline": true, - "value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Interaction Panel.\"\n icon = \"ChatOutput\"\n\n def build(\n self,\n sender: Optional[str] = \"Machine\",\n sender_name: Optional[str] = \"AI\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n record_template: Optional[str] = \"{text}\",\n ) -> Union[Text, Record]:\n return super().build_with_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n record_template=record_template or \"\",\n )\n", + "value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n\n def build(\n self,\n sender: Optional[str] = \"Machine\",\n sender_name: Optional[str] = \"AI\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n record_template: Optional[str] = \"{text}\",\n ) -> Union[Text, Record]:\n return super().build_with_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n record_template=record_template or \"\",\n )\n", "fileTypes": [], "file_path": "", "password": false, @@ -400,7 +400,7 @@ }, "_type": "CustomComponent" }, - "description": "Display a chat message in the Interaction Panel.", + "description": "Display a chat message in the Playground.", "icon": "ChatOutput", "base_classes": [ "object", @@ -452,7 +452,7 @@ "list": false, "show": true, "multiline": true, - "value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Interaction Panel.\"\n icon = \"ChatOutput\"\n\n def build(\n self,\n sender: Optional[str] = \"Machine\",\n sender_name: Optional[str] = \"AI\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n record_template: Optional[str] = \"{text}\",\n ) -> Union[Text, Record]:\n return super().build_with_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n record_template=record_template or \"\",\n )\n", + "value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n\n def build(\n self,\n sender: Optional[str] = \"Machine\",\n sender_name: Optional[str] = \"AI\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n record_template: Optional[str] = \"{text}\",\n ) -> Union[Text, Record]:\n return super().build_with_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n record_template=record_template or \"\",\n )\n", "fileTypes": [], "file_path": "", "password": false, @@ -596,7 +596,7 @@ }, "_type": "CustomComponent" }, - "description": "Display a chat message in the Interaction Panel.", + "description": "Display a chat message in the Playground.", "icon": "ChatOutput", "base_classes": [ "object", @@ -647,7 +647,7 @@ "list": false, "show": true, "multiline": true, - "value": "from typing import Optional\n\nfrom langflow.base.io.text import TextComponent\nfrom langflow.field_typing import Text\n\n\nclass TextInput(TextComponent):\n display_name = \"Text Input\"\n description = \"Get text inputs from the Interaction Panel.\"\n icon = \"type\"\n\n def build_config(self):\n return {\n \"input_value\": {\n \"display_name\": \"Value\",\n \"input_types\": [\"Record\", \"Text\"],\n \"info\": \"Text or Record to be passed as input.\",\n },\n \"record_template\": {\n \"display_name\": \"Record Template\",\n \"multiline\": True,\n \"info\": \"Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Optional[Text] = \"\",\n record_template: Optional[str] = \"\",\n ) -> Text:\n return super().build(input_value=input_value, record_template=record_template)\n", + "value": "from typing import Optional\n\nfrom langflow.base.io.text import TextComponent\nfrom langflow.field_typing import Text\n\n\nclass TextInput(TextComponent):\n display_name = \"Text Input\"\n description = \"Get text inputs from the Playground.\"\n icon = \"type\"\n\n def build_config(self):\n return {\n \"input_value\": {\n \"display_name\": \"Value\",\n \"input_types\": [\"Record\", \"Text\"],\n \"info\": \"Text or Record to be passed as input.\",\n },\n \"record_template\": {\n \"display_name\": \"Record Template\",\n \"multiline\": True,\n \"info\": \"Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n input_value: Optional[Text] = \"\",\n record_template: Optional[str] = \"\",\n ) -> Text:\n return super().build(input_value=input_value, record_template=record_template)\n", "fileTypes": [], "file_path": "", "password": false, @@ -705,7 +705,7 @@ }, "_type": "CustomComponent" }, - "description": "Get text inputs from the Interaction Panel.", + "description": "Get text inputs from the Playground.", "icon": "type", "base_classes": [ "str", @@ -778,7 +778,7 @@ "list": false, "show": true, "multiline": true, - "value": "from typing import Optional\n\nfrom langflow.base.io.text import TextComponent\nfrom langflow.field_typing import Text\n\n\nclass TextOutput(TextComponent):\n display_name = \"Text Output\"\n description = \"Display a text output in the Interaction Panel.\"\n icon = \"type\"\n\n def build_config(self):\n return {\n \"input_value\": {\n \"display_name\": \"Value\",\n \"input_types\": [\"Record\", \"Text\"],\n \"info\": \"Text or Record to be passed as output.\",\n },\n \"record_template\": {\n \"display_name\": \"Record Template\",\n \"multiline\": True,\n \"info\": \"Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.\",\n \"advanced\": True,\n },\n }\n\n def build(self, input_value: Optional[Text] = \"\", record_template: str = \"\") -> Text:\n return super().build(input_value=input_value, record_template=record_template)\n", + "value": "from typing import Optional\n\nfrom langflow.base.io.text import TextComponent\nfrom langflow.field_typing import Text\n\n\nclass TextOutput(TextComponent):\n display_name = \"Text Output\"\n description = \"Display a text output in the Playground.\"\n icon = \"type\"\n\n def build_config(self):\n return {\n \"input_value\": {\n \"display_name\": \"Value\",\n \"input_types\": [\"Record\", \"Text\"],\n \"info\": \"Text or Record to be passed as output.\",\n },\n \"record_template\": {\n \"display_name\": \"Record Template\",\n \"multiline\": True,\n \"info\": \"Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.\",\n \"advanced\": True,\n },\n }\n\n def build(self, input_value: Optional[Text] = \"\", record_template: str = \"\") -> Text:\n return super().build(input_value=input_value, record_template=record_template)\n", "fileTypes": [], "file_path": "", "password": false, @@ -813,7 +813,7 @@ }, "_type": "CustomComponent" }, - "description": "Display a text output in the Interaction Panel.", + "description": "Display a text output in the Playground.", "icon": "type", "base_classes": [ "str", @@ -1165,7 +1165,7 @@ "list": false, "show": true, "multiline": true, - "value": "from typing import Optional\n\nfrom langflow.base.io.text import TextComponent\nfrom langflow.field_typing import Text\n\n\nclass TextOutput(TextComponent):\n display_name = \"Text Output\"\n description = \"Display a text output in the Interaction Panel.\"\n icon = \"type\"\n\n def build_config(self):\n return {\n \"input_value\": {\n \"display_name\": \"Value\",\n \"input_types\": [\"Record\", \"Text\"],\n \"info\": \"Text or Record to be passed as output.\",\n },\n \"record_template\": {\n \"display_name\": \"Record Template\",\n \"multiline\": True,\n \"info\": \"Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.\",\n \"advanced\": True,\n },\n }\n\n def build(self, input_value: Optional[Text] = \"\", record_template: str = \"\") -> Text:\n return super().build(input_value=input_value, record_template=record_template)\n", + "value": "from typing import Optional\n\nfrom langflow.base.io.text import TextComponent\nfrom langflow.field_typing import Text\n\n\nclass TextOutput(TextComponent):\n display_name = \"Text Output\"\n description = \"Display a text output in the Playground.\"\n icon = \"type\"\n\n def build_config(self):\n return {\n \"input_value\": {\n \"display_name\": \"Value\",\n \"input_types\": [\"Record\", \"Text\"],\n \"info\": \"Text or Record to be passed as output.\",\n },\n \"record_template\": {\n \"display_name\": \"Record Template\",\n \"multiline\": True,\n \"info\": \"Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.\",\n \"advanced\": True,\n },\n }\n\n def build(self, input_value: Optional[Text] = \"\", record_template: str = \"\") -> Text:\n return super().build(input_value=input_value, record_template=record_template)\n", "fileTypes": [], "file_path": "", "password": false, @@ -1200,7 +1200,7 @@ }, "_type": "CustomComponent" }, - "description": "Display a text output in the Interaction Panel.", + "description": "Display a text output in the Playground.", "icon": "type", "base_classes": [ "str", diff --git a/src/backend/base/langflow/initial_setup/starter_projects/VectorStore-RAG-Flows.json b/src/backend/base/langflow/initial_setup/starter_projects/VectorStore-RAG-Flows.json index 69ac26c77..93a7c3998 100644 --- a/src/backend/base/langflow/initial_setup/starter_projects/VectorStore-RAG-Flows.json +++ b/src/backend/base/langflow/initial_setup/starter_projects/VectorStore-RAG-Flows.json @@ -20,7 +20,7 @@ "list": false, "show": true, "multiline": true, - "value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatInput(ChatComponent):\n display_name = \"Chat Input\"\n description = \"Get chat inputs from the Interaction Panel.\"\n icon = \"ChatInput\"\n\n def build_config(self):\n build_config = super().build_config()\n build_config[\"input_value\"] = {\n \"input_types\": [],\n \"display_name\": \"Message\",\n \"multiline\": True,\n }\n\n return build_config\n\n def build(\n self,\n sender: Optional[str] = \"User\",\n sender_name: Optional[str] = \"User\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n ) -> Union[Text, Record]:\n return super().build_no_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n )\n", + "value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatInput(ChatComponent):\n display_name = \"Chat Input\"\n description = \"Get chat inputs from the Playground.\"\n icon = \"ChatInput\"\n\n def build_config(self):\n build_config = super().build_config()\n build_config[\"input_value\"] = {\n \"input_types\": [],\n \"display_name\": \"Message\",\n \"multiline\": True,\n }\n\n return build_config\n\n def build(\n self,\n sender: Optional[str] = \"User\",\n sender_name: Optional[str] = \"User\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n ) -> Union[Text, Record]:\n return super().build_no_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n )\n", "fileTypes": [], "file_path": "", "password": false, @@ -141,7 +141,7 @@ }, "_type": "CustomComponent" }, - "description": "Get chat inputs from the Interaction Panel.", + "description": "Get chat inputs from the Playground.", "icon": "ChatInput", "base_classes": [ "Text", @@ -214,7 +214,7 @@ "list": false, "show": true, "multiline": true, - "value": "from typing import Optional\n\nfrom langflow.base.io.text import TextComponent\nfrom langflow.field_typing import Text\n\n\nclass TextOutput(TextComponent):\n display_name = \"Text Output\"\n description = \"Display a text output in the Interaction Panel.\"\n icon = \"type\"\n\n def build_config(self):\n return {\n \"input_value\": {\n \"display_name\": \"Value\",\n \"input_types\": [\"Record\", \"Text\"],\n \"info\": \"Text or Record to be passed as output.\",\n },\n \"record_template\": {\n \"display_name\": \"Record Template\",\n \"multiline\": True,\n \"info\": \"Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.\",\n \"advanced\": True,\n },\n }\n\n def build(self, input_value: Optional[Text] = \"\", record_template: str = \"\") -> Text:\n return super().build(input_value=input_value, record_template=record_template)\n", + "value": "from typing import Optional\n\nfrom langflow.base.io.text import TextComponent\nfrom langflow.field_typing import Text\n\n\nclass TextOutput(TextComponent):\n display_name = \"Text Output\"\n description = \"Display a text output in the Playground.\"\n icon = \"type\"\n\n def build_config(self):\n return {\n \"input_value\": {\n \"display_name\": \"Value\",\n \"input_types\": [\"Record\", \"Text\"],\n \"info\": \"Text or Record to be passed as output.\",\n },\n \"record_template\": {\n \"display_name\": \"Record Template\",\n \"multiline\": True,\n \"info\": \"Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.\",\n \"advanced\": True,\n },\n }\n\n def build(self, input_value: Optional[Text] = \"\", record_template: str = \"\") -> Text:\n return super().build(input_value=input_value, record_template=record_template)\n", "fileTypes": [], "file_path": "", "password": false, @@ -249,7 +249,7 @@ }, "_type": "CustomComponent" }, - "description": "Display a text output in the Interaction Panel.", + "description": "Display a text output in the Playground.", "icon": "type", "base_classes": [ "object", @@ -1256,7 +1256,7 @@ "list": false, "show": true, "multiline": true, - "value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Interaction Panel.\"\n icon = \"ChatOutput\"\n\n def build(\n self,\n sender: Optional[str] = \"Machine\",\n sender_name: Optional[str] = \"AI\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n record_template: Optional[str] = \"{text}\",\n ) -> Union[Text, Record]:\n return super().build_with_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n record_template=record_template or \"\",\n )\n", + "value": "from typing import Optional, Union\n\nfrom langflow.base.io.chat import ChatComponent\nfrom langflow.field_typing import Text\nfrom langflow.schema import Record\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n icon = \"ChatOutput\"\n\n def build(\n self,\n sender: Optional[str] = \"Machine\",\n sender_name: Optional[str] = \"AI\",\n input_value: Optional[str] = None,\n session_id: Optional[str] = None,\n return_record: Optional[bool] = False,\n record_template: Optional[str] = \"{text}\",\n ) -> Union[Text, Record]:\n return super().build_with_record(\n sender=sender,\n sender_name=sender_name,\n input_value=input_value,\n session_id=session_id,\n return_record=return_record,\n record_template=record_template or \"\",\n )\n", "fileTypes": [], "file_path": "", "password": false, @@ -1400,7 +1400,7 @@ }, "_type": "CustomComponent" }, - "description": "Display a chat message in the Interaction Panel.", + "description": "Display a chat message in the Playground.", "icon": "ChatOutput", "base_classes": [ "object", diff --git a/src/backend/base/langflow/interface/custom/custom_component/custom_component.py b/src/backend/base/langflow/interface/custom/custom_component/custom_component.py index e6f0c4652..1638ebb2c 100644 --- a/src/backend/base/langflow/interface/custom/custom_component/custom_component.py +++ b/src/backend/base/langflow/interface/custom/custom_component/custom_component.py @@ -87,6 +87,14 @@ class CustomComponent(Component): except Exception as e: raise ValueError(f"Error updating state: {e}") + def stop(self): + if not self.vertex: + raise ValueError("Vertex is not set") + try: + self.graph.mark_branch(self.vertex.id, "INACTIVE") + except Exception as e: + raise ValueError(f"Error stopping {self.display_name}: {e}") + def append_state(self, name: str, value: Any): if not self.vertex: raise ValueError("Vertex is not set") diff --git a/src/backend/base/langflow/interface/initialize/vector_store.py b/src/backend/base/langflow/interface/initialize/vector_store.py index d01688165..619baa3f0 100644 --- a/src/backend/base/langflow/interface/initialize/vector_store.py +++ b/src/backend/base/langflow/interface/initialize/vector_store.py @@ -227,34 +227,11 @@ def initialize_qdrant(class_object: Type[Qdrant], params: dict): return class_object.from_documents(**params) -def initialize_elasticsearch(class_object: Type[ElasticsearchStore], params: dict): - """Initialize elastic and return the class object""" - if "index_name" not in params: - raise ValueError("Elasticsearch Index must be provided in the params") - if "es_url" not in params: - raise ValueError("Elasticsearch URL must be provided in the params") - if not docs_in_params(params): - existing_index_params = { - "embedding": params.pop("embedding"), - } - if "index_name" in params: - existing_index_params["index_name"] = params.pop("index_name") - if "es_url" in params: - existing_index_params["es_url"] = params.pop("es_url") - - return class_object.from_existing_index(**existing_index_params) - # If there are docs in the params, create a new index - if "texts" in params: - params["documents"] = params.pop("texts") - return class_object.from_documents(**params) - - vecstore_initializer: Dict[str, Callable[[Type[Any], dict], Any]] = { "Pinecone": initialize_pinecone, "Chroma": initialize_chroma, "Qdrant": initialize_qdrant, "Weaviate": initialize_weaviate, - "ElasticsearchStore": initialize_elasticsearch, "FAISS": initialize_faiss, "SupabaseVectorStore": initialize_supabase, "MongoDBAtlasVectorSearch": initialize_mongodb, diff --git a/src/backend/base/langflow/interface/tools/constants.py b/src/backend/base/langflow/interface/tools/constants.py index 7b07922e5..27b42b327 100644 --- a/src/backend/base/langflow/interface/tools/constants.py +++ b/src/backend/base/langflow/interface/tools/constants.py @@ -1,7 +1,7 @@ from langchain import tools from langchain.agents import Tool from langchain.agents.load_tools import _BASE_TOOLS, _EXTRA_LLM_TOOLS, _EXTRA_OPTIONAL_TOOLS, _LLM_TOOLS -from langchain.tools.json.tool import JsonSpec +from langchain_community.tools.json.tool import JsonSpec from langflow.interface.importing.utils import import_class from langflow.interface.tools.custom import PythonFunctionTool diff --git a/src/backend/base/langflow/main.py b/src/backend/base/langflow/main.py index 81797dc80..697cfa226 100644 --- a/src/backend/base/langflow/main.py +++ b/src/backend/base/langflow/main.py @@ -53,6 +53,7 @@ def get_lifespan(fix_migration=False, socketio_server=None): except Exception as exc: if "langflow migration --fix" not in str(exc): logger.error(exc) + raise # Shutdown message rprint("[bold red]Shutting down Langflow...[/bold red]") teardown_services() diff --git a/src/backend/base/langflow/memory.py b/src/backend/base/langflow/memory.py index aea9b3000..15cf6d6d8 100644 --- a/src/backend/base/langflow/memory.py +++ b/src/backend/base/langflow/memory.py @@ -1,3 +1,4 @@ +import warnings from typing import Optional, Union from loguru import logger @@ -51,6 +52,7 @@ def get_messages( "sender": row.sender, "sender_name": row.sender_name, "session_id": row.session_id, + "timestamp": row.timestamp, }, ) records.append(record) @@ -98,3 +100,39 @@ def delete_messages(session_id: str): """ monitor_service = get_monitor_service() monitor_service.delete_messages(session_id) + + +def store_message( + message: Union[str, Record], + session_id: Optional[str] = None, + sender: Optional[str] = None, + sender_name: Optional[str] = None, +) -> list[Record]: + + if not message: + warnings.warn("No message provided.") + return [] + + if not session_id or not sender or not sender_name: + raise ValueError("All of session_id, sender, and sender_name must be provided.") + + if isinstance(message, Record): + record = message + record.data.update( + { + "session_id": session_id, + "sender": sender, + "sender_name": sender_name, + } + ) + elif isinstance(message, str): + record = Record( + data={ + "text": message, + "session_id": session_id, + "sender": sender, + "sender_name": sender_name, + }, + ) + + return add_messages([record]) diff --git a/src/backend/base/langflow/processing/load.py b/src/backend/base/langflow/processing/load.py index a2be59d95..cf354c3b3 100644 --- a/src/backend/base/langflow/processing/load.py +++ b/src/backend/base/langflow/processing/load.py @@ -3,6 +3,8 @@ from pathlib import Path from typing import List, Optional, Union from dotenv import load_dotenv +from loguru import logger + from langflow.graph import Graph from langflow.graph.schema import RunOutputs from langflow.processing.process import process_tweaks, run_graph @@ -101,6 +103,12 @@ def run_flow_from_json( List[RunOutputs]: A list of RunOutputs objects representing the results of running the flow. """ # Set all streaming to false + try: + import nest_asyncio # type: ignore + + nest_asyncio.apply() + except Exception as e: + logger.warning(f"Could not apply nest_asyncio: {e}") if tweaks is None: tweaks = {} tweaks["stream"] = False diff --git a/src/backend/base/langflow/processing/process.py b/src/backend/base/langflow/processing/process.py index bfaff74d5..2d8356159 100644 --- a/src/backend/base/langflow/processing/process.py +++ b/src/backend/base/langflow/processing/process.py @@ -1,5 +1,6 @@ from typing import TYPE_CHECKING, Any, Dict, List, Optional, Tuple, Union + from langchain.agents import AgentExecutor from langchain.schema import AgentAction from loguru import logger @@ -13,6 +14,7 @@ from langflow.schema.graph import InputValue, Tweaks from langflow.schema.schema import INPUT_FIELD_NAME from langflow.services.session.service import SessionService + if TYPE_CHECKING: from langflow.api.v1.schemas import InputValueRequest @@ -269,16 +271,19 @@ def process_tweaks( :return: The modified graph_data dictionary. :raises ValueError: If the input is not in the expected format. """ + tweaks_dict = {} if not isinstance(tweaks, dict): - tweaks = tweaks.model_dump() - if "stream" not in tweaks: - tweaks["stream"] = stream - nodes = validate_input(graph_data, tweaks) + tweaks_dict = tweaks.model_dump() + else: + tweaks_dict = tweaks + if "stream" not in tweaks_dict: + tweaks_dict["stream"] = stream + nodes = validate_input(graph_data, tweaks_dict) nodes_map = {node.get("id"): node for node in nodes} nodes_display_name_map = {node.get("data", {}).get("node", {}).get("display_name"): node for node in nodes} all_nodes_tweaks = {} - for key, value in tweaks.items(): + for key, value in tweaks_dict.items(): if isinstance(value, dict): if node := nodes_map.get(key): apply_tweaks(node, value) diff --git a/src/backend/base/langflow/schema/graph.py b/src/backend/base/langflow/schema/graph.py index a515b3dd2..6b6cca66a 100644 --- a/src/backend/base/langflow/schema/graph.py +++ b/src/backend/base/langflow/schema/graph.py @@ -1,7 +1,8 @@ -from typing import List, Optional, Union +from typing import Any, List, Optional, Union + +from pydantic import BaseModel, Field, RootModel from langflow.schema.schema import InputType -from pydantic import BaseModel, Field, RootModel class InputValue(BaseModel): @@ -14,7 +15,7 @@ class InputValue(BaseModel): class Tweaks(RootModel): - root: dict[str, Union[str, dict[str, str]]] = Field( + root: dict[str, Union[str, dict[str, Any]]] = Field( description="A dictionary of tweaks to adjust the flow's execution. Allows customizing flow behavior dynamically. All tweaks are overridden by the input values.", ) model_config = { diff --git a/src/backend/base/langflow/schema/schema.py b/src/backend/base/langflow/schema/schema.py index 979c78920..29ab15ede 100644 --- a/src/backend/base/langflow/schema/schema.py +++ b/src/backend/base/langflow/schema/schema.py @@ -1,10 +1,10 @@ import copy -from typing import Literal, Optional +from typing import Literal, Optional, cast from langchain_core.documents import Document -from langchain_core.messages import BaseMessage +from langchain_core.messages import AIMessage, BaseMessage, HumanMessage from pydantic import BaseModel, model_validator -from langchain_core.messages import HumanMessage, AIMessage, BaseMessage +from langchain_core.messages import HumanMessage, AIMessage class Record(BaseModel): @@ -67,8 +67,8 @@ class Record(BaseModel): Returns: Record: The converted Record. """ - data = {"text": message.content} - data["metadata"] = message.to_json() + data: dict = {"text": message.content} + data["metadata"] = cast(dict, message.to_json()) return cls(data=data, text_key="text") def __add__(self, other: "Record") -> "Record": diff --git a/src/backend/base/langflow/services/database/models/api_key/model.py b/src/backend/base/langflow/services/database/models/api_key/model.py index ee0d1e71d..be4e3ed4d 100644 --- a/src/backend/base/langflow/services/database/models/api_key/model.py +++ b/src/backend/base/langflow/services/database/models/api_key/model.py @@ -22,7 +22,7 @@ class ApiKeyBase(SQLModel): class ApiKey(ApiKeyBase, table=True): id: UUID = Field(default_factory=uuid4, primary_key=True, unique=True) - created_at: datetime = Field( + created_at: Optional[datetime] = Field( default=None, sa_column=Column(DateTime(timezone=True), server_default=func.now(), nullable=False) ) api_key: str = Field(index=True, unique=True) diff --git a/src/backend/base/langflow/services/database/models/variable/model.py b/src/backend/base/langflow/services/database/models/variable/model.py index cf2236fe1..1344dc9c3 100644 --- a/src/backend/base/langflow/services/database/models/variable/model.py +++ b/src/backend/base/langflow/services/database/models/variable/model.py @@ -13,8 +13,8 @@ def utc_now(): class VariableBase(SQLModel): - name: Optional[str] = Field(None, description="Name of the variable") - value: Optional[str] = Field(None, description="Encrypted value of the variable") + name: str = Field(description="Name of the variable") + value: str = Field(description="Encrypted value of the variable") default_fields: Optional[List[str]] = Field(sa_column=Column(JSON)) type: Optional[str] = Field(None, description="Type of the variable") @@ -26,7 +26,7 @@ class Variable(VariableBase, table=True): description="Unique ID for the variable", ) # name is unique per user - created_at: datetime = Field( + created_at: Optional[datetime] = Field( default=None, sa_column=Column(DateTime(timezone=True), server_default=func.now(), nullable=True), description="Creation time of the variable", @@ -52,6 +52,7 @@ class VariableRead(SQLModel): id: UUID name: Optional[str] = Field(None, description="Name of the variable") type: Optional[str] = Field(None, description="Type of the variable") + default_fields: Optional[List[str]] = Field(None, description="Default fields for the variable") class VariableUpdate(SQLModel): diff --git a/src/backend/base/langflow/services/database/service.py b/src/backend/base/langflow/services/database/service.py index 5ca20c642..14c79f85b 100644 --- a/src/backend/base/langflow/services/database/service.py +++ b/src/backend/base/langflow/services/database/service.py @@ -133,7 +133,7 @@ class DatabaseService(Service): alembic_cfg = Config(stdout=buffer) # alembic_cfg.attributes["connection"] = session alembic_cfg.set_main_option("script_location", str(self.script_location)) - alembic_cfg.set_main_option("sqlalchemy.url", self.database_url.replace('%', '%%')) + alembic_cfg.set_main_option("sqlalchemy.url", self.database_url.replace("%", "%%")) should_initialize_alembic = False with Session(self.engine) as session: @@ -170,9 +170,7 @@ class DatabaseService(Service): except util.exc.AutogenerateDiffsDetected as exc: logger.error(f"AutogenerateDiffsDetected: {exc}") if not fix: - raise RuntimeError( - "Something went wrong running migrations. Please, run `langflow migration --fix`" - ) from exc + raise RuntimeError(f"There's a mismatch between the models and the database.\n{exc}") if fix: self.try_downgrade_upgrade_until_success(alembic_cfg) diff --git a/src/backend/base/langflow/services/monitor/utils.py b/src/backend/base/langflow/services/monitor/utils.py index a71653e82..7b6948c1a 100644 --- a/src/backend/base/langflow/services/monitor/utils.py +++ b/src/backend/base/langflow/services/monitor/utils.py @@ -101,10 +101,16 @@ def add_row_to_table( conn.execute(insert_sql, values) except Exception as e: # Log values types + column_error_message = "" for key, value in validated_dict.items(): logger.error(f"{key}: {type(value)}") + if value in str(e): + column_error_message = f"Column: {key} Value: {value} Error: {e}" - logger.error(f"Error adding row to table: {e}") + if column_error_message: + logger.error(f"Error adding row to {table_name}: {column_error_message}") + else: + logger.error(f"Error adding row to {table_name}: {e}") async def log_message( diff --git a/src/backend/base/langflow/services/store/service.py b/src/backend/base/langflow/services/store/service.py index b25599297..c6205269a 100644 --- a/src/backend/base/langflow/services/store/service.py +++ b/src/backend/base/langflow/services/store/service.py @@ -49,6 +49,27 @@ async def user_data_context(store_service: "StoreService", api_key: Optional[str user_data_var.set(None) +def get_id_from_search_string(search_string: str) -> Optional[str]: + """ + Extracts the ID from a search string. + + Args: + search_string (str): The search string to extract the ID from. + + Returns: + Optional[str]: The extracted ID, or None if no ID is found. + """ + possible_id = search_string + if "www.langflow.store/store/" in search_string: + possible_id = search_string.split("/")[-1] + + try: + possible_id = str(UUID(search_string)) + except ValueError: + possible_id = None + return possible_id + + class StoreService(Service): """This is a service that integrates langflow with the store which is a Directus instance. It allows to search, get and post components to @@ -183,7 +204,10 @@ class StoreService(Service): ): filter_conditions = [] - if search is not None: + if component_id is None: + component_id = get_id_from_search_string(search) if search else None + + if search is not None and component_id is None: search_conditions = self.build_search_filter_conditions(search) filter_conditions.append(search_conditions) diff --git a/src/backend/base/langflow/services/variable/service.py b/src/backend/base/langflow/services/variable/service.py index ef23a95a2..ea5126d79 100644 --- a/src/backend/base/langflow/services/variable/service.py +++ b/src/backend/base/langflow/services/variable/service.py @@ -30,7 +30,14 @@ class VariableService(Service): if var in os.environ: logger.debug(f"Creating {var} variable from environment.") try: - self.create_variable(user_id, var, os.environ[var], _type="Credential", session=session) + self.create_variable( + user_id=user_id, + name=var, + value=os.environ[var], + default_fields=[], + _type="Credential", + session=session, + ) except Exception as e: logger.error(f"Error creating {var} variable: {e}") @@ -91,6 +98,7 @@ class VariableService(Service): user_id: Union[UUID, str], name: str, value: str, + default_fields: list[str] = [], _type: str = "Generic", session: Session = Depends(get_session), ): @@ -98,6 +106,7 @@ class VariableService(Service): name=name, type=_type, value=auth_utils.encrypt_api_key(value, settings_service=self.settings_service), + default_fields=default_fields, ) variable = Variable.model_validate(variable_base, from_attributes=True, update={"user_id": user_id}) session.add(variable) diff --git a/src/backend/base/poetry.lock b/src/backend/base/poetry.lock index 7a8067103..b83e82ede 100644 --- a/src/backend/base/poetry.lock +++ b/src/backend/base/poetry.lock @@ -517,13 +517,13 @@ test-randomorder = ["pytest-randomly"] [[package]] name = "dataclasses-json" -version = "0.6.4" +version = "0.6.5" description = "Easily serialize dataclasses to and from JSON." optional = false -python-versions = ">=3.7,<4.0" +python-versions = "<4.0,>=3.7" files = [ - {file = "dataclasses_json-0.6.4-py3-none-any.whl", hash = "sha256:f90578b8a3177f7552f4e1a6e535e84293cd5da421fcce0642d49c0d7bdf8df2"}, - {file = "dataclasses_json-0.6.4.tar.gz", hash = "sha256:73696ebf24936560cca79a2430cbc4f3dd23ac7bf46ed17f38e5e5e7657a6377"}, + {file = "dataclasses_json-0.6.5-py3-none-any.whl", hash = "sha256:f49c77aa3a85cac5bf5b7f65f4790ca0d2be8ef4d92c75e91ba0103072788a39"}, + {file = "dataclasses_json-0.6.5.tar.gz", hash = "sha256:1c287594d9fcea72dc42d6d3836cf14848c2dc5ce88f65ed61b36b57f515fe26"}, ] [package.dependencies] @@ -624,13 +624,13 @@ gmpy2 = ["gmpy2"] [[package]] name = "emoji" -version = "2.11.0" +version = "2.11.1" description = "Emoji for Python" optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,>=2.7" files = [ - {file = "emoji-2.11.0-py2.py3-none-any.whl", hash = "sha256:63fc9107f06c6c2e48e5078ce9575cef98518f5ac09474f6148a43e989989582"}, - {file = "emoji-2.11.0.tar.gz", hash = "sha256:772eaa30f4e0b1ce95148a092df4c7dc97644532c03225326b0fd05e8a9f72a3"}, + {file = "emoji-2.11.1-py2.py3-none-any.whl", hash = "sha256:b7ba25299bbf520cc8727848ae66b986da32aee27dc2887eaea2bff07226ce49"}, + {file = "emoji-2.11.1.tar.gz", hash = "sha256:062ff0b3154b6219143f8b9f4b3e5c64c35bc2b146e6e2349ab5f29e218ce1ee"}, ] [package.extras] @@ -638,13 +638,13 @@ dev = ["coverage", "coveralls", "pytest"] [[package]] name = "exceptiongroup" -version = "1.2.0" +version = "1.2.1" description = "Backport of PEP 654 (exception groups)" optional = false python-versions = ">=3.7" files = [ - {file = "exceptiongroup-1.2.0-py3-none-any.whl", hash = "sha256:4bfd3996ac73b41e9b9628b04e079f193850720ea5945fc96a08633c66912f14"}, - {file = "exceptiongroup-1.2.0.tar.gz", hash = "sha256:91f5c769735f051a4290d52edd0858999b57e5876e9f85937691bd4c9fa3ed68"}, + {file = "exceptiongroup-1.2.1-py3-none-any.whl", hash = "sha256:5258b9ed329c5bbdd31a309f53cbfb0b155341807f6ff7606a1e801a891b29ad"}, + {file = "exceptiongroup-1.2.1.tar.gz", hash = "sha256:a4785e48b045528f5bfe627b6ad554ff32def154f42372786903b7abcfe1aa16"}, ] [package.extras] @@ -652,13 +652,13 @@ test = ["pytest (>=6)"] [[package]] name = "fastapi" -version = "0.110.1" +version = "0.110.3" description = "FastAPI framework, high performance, easy to learn, fast to code, ready for production" optional = false python-versions = ">=3.8" files = [ - {file = "fastapi-0.110.1-py3-none-any.whl", hash = "sha256:5df913203c482f820d31f48e635e022f8cbfe7350e4830ef05a3163925b1addc"}, - {file = "fastapi-0.110.1.tar.gz", hash = "sha256:6feac43ec359dfe4f45b2c18ec8c94edb8dc2dfc461d417d9e626590c071baad"}, + {file = "fastapi-0.110.3-py3-none-any.whl", hash = "sha256:fd7600612f755e4050beb74001310b5a7e1796d149c2ee363124abdfa0289d32"}, + {file = "fastapi-0.110.3.tar.gz", hash = "sha256:555700b0159379e94fdbfc6bb66a0f1c43f4cf7060f25239af3d84b63a656626"}, ] [package.dependencies] @@ -667,7 +667,7 @@ starlette = ">=0.37.2,<0.38.0" typing-extensions = ">=4.8.0" [package.extras] -all = ["email-validator (>=2.0.0)", "httpx (>=0.23.0)", "itsdangerous (>=1.1.0)", "jinja2 (>=2.11.2)", "orjson (>=3.2.1)", "pydantic-extra-types (>=2.0.0)", "pydantic-settings (>=2.0.0)", "python-multipart (>=0.0.7)", "pyyaml (>=5.3.1)", "ujson (>=4.0.1,!=4.0.2,!=4.1.0,!=4.2.0,!=4.3.0,!=5.0.0,!=5.1.0)", "uvicorn[standard] (>=0.12.0)"] +all = ["email_validator (>=2.0.0)", "httpx (>=0.23.0)", "itsdangerous (>=1.1.0)", "jinja2 (>=2.11.2)", "orjson (>=3.2.1)", "pydantic-extra-types (>=2.0.0)", "pydantic-settings (>=2.0.0)", "python-multipart (>=0.0.7)", "pyyaml (>=5.3.1)", "ujson (>=4.0.1,!=4.0.2,!=4.1.0,!=4.2.0,!=4.3.0,!=5.0.0,!=5.1.0)", "uvicorn[standard] (>=0.12.0)"] [[package]] name = "frozenlist" @@ -1064,19 +1064,19 @@ text-helpers = ["chardet (>=5.1.0,<6.0.0)"] [[package]] name = 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"https://github.com/sponsors/isaacs" } }, + "node_modules/sucrase/node_modules/minipass": { + "version": "7.0.4", + "resolved": "https://registry.npmjs.org/minipass/-/minipass-7.0.4.tgz", + "integrity": "sha512-jYofLM5Dam9279rdkWzqHozUo4ybjdZmCsDHePy5V/PbBcVMiSZR97gmAy45aqi8CK1lG2ECd356FU86avfwUQ==", + "engines": { + "node": ">=16 || 14 >=14.17" + } + }, "node_modules/supports-color": { "version": "5.5.0", "resolved": "https://registry.npmjs.org/supports-color/-/supports-color-5.5.0.tgz", @@ -11904,6 +12346,29 @@ "node": ">=4" } }, + "node_modules/tar": { + "version": "6.2.1", + "resolved": "https://registry.npmjs.org/tar/-/tar-6.2.1.tgz", + "integrity": "sha512-DZ4yORTwrbTj/7MZYq2w+/ZFdI6OZ/f9SFHR+71gIVUZhOQPHzVCLpvRnPgyaMpfWxxk/4ONva3GQSyNIKRv6A==", + "optional": true, + "dependencies": { + "chownr": "^2.0.0", + "fs-minipass": "^2.0.0", + "minipass": "^5.0.0", + "minizlib": "^2.1.1", + "mkdirp": "^1.0.3", + "yallist": "^4.0.0" + }, + "engines": { + "node": ">=10" + } + }, + "node_modules/tar/node_modules/yallist": { + "version": "4.0.0", + "resolved": "https://registry.npmjs.org/yallist/-/yallist-4.0.0.tgz", + "integrity": "sha512-3wdGidZyq5PB084XLES5TpOSRA3wjXAlIWMhum2kRcv/41Sn2emQ0dycQW4uZXLejwKvg6EsvbdlVL+FYEct7A==", + "optional": true + }, "node_modules/text-table": { "version": "0.2.0", "resolved": "https://registry.npmjs.org/text-table/-/text-table-0.2.0.tgz", @@ -11929,6 +12394,11 @@ "node": ">=0.8" } }, + "node_modules/tiny-invariant": { + "version": "1.3.3", + "resolved": "https://registry.npmjs.org/tiny-invariant/-/tiny-invariant-1.3.3.tgz", + "integrity": "sha512-+FbBPE1o9QAYvviau/qC5SE3caw21q3xkvWKBtja5vgqOWIHHJ3ioaq1VPfn/Szqctz2bU/oYeKd9/z5BL+PVg==" + }, "node_modules/tiny-warning": { "version": "1.0.3", "resolved": "https://registry.npmjs.org/tiny-warning/-/tiny-warning-1.0.3.tgz", @@ -12886,6 +13356,14 @@ "node": ">=14" } }, + "node_modules/warning": { + "version": "4.0.3", + "resolved": "https://registry.npmjs.org/warning/-/warning-4.0.3.tgz", + "integrity": "sha512-rpJyN222KWIvHJ/F53XSZv0Zl/accqHR8et1kpaMTD/fLCRxtV8iX8czMzY7sVZupTI3zcUTg8eycS2kNF9l6w==", + "dependencies": { + "loose-envify": "^1.0.0" + } + }, "node_modules/wcwidth": { "version": "1.0.1", "resolved": "https://registry.npmjs.org/wcwidth/-/wcwidth-1.0.1.tgz", @@ -13047,6 +13525,15 @@ "resolved": "https://registry.npmjs.org/wicked-good-xpath/-/wicked-good-xpath-1.3.0.tgz", "integrity": "sha512-Gd9+TUn5nXdwj/hFsPVx5cuHHiF5Bwuc30jZ4+ronF1qHK5O7HD0sgmXWSEgwKquT3ClLoKPVbO6qGwVwLzvAw==" }, + "node_modules/wide-align": { + "version": "1.1.5", + "resolved": "https://registry.npmjs.org/wide-align/-/wide-align-1.1.5.tgz", + "integrity": "sha512-eDMORYaPNZ4sQIuuYPDHdQvf4gyCF9rEEV/yPxGfwPkRodwEgiMUUXTx/dex+Me0wxx53S+NgUHaP7y3MGlDmg==", + "optional": true, + "dependencies": { + "string-width": "^1.0.2 || 2 || 3 || 4" + } + }, "node_modules/wrap-ansi": { "version": "8.1.0", "resolved": "https://registry.npmjs.org/wrap-ansi/-/wrap-ansi-8.1.0.tgz", @@ -13110,24 +13597,6 @@ "resolved": "https://registry.npmjs.org/color-name/-/color-name-1.1.4.tgz", "integrity": "sha512-dOy+3AuW3a2wNbZHIuMZpTcgjGuLU/uBL/ubcZF9OXbDo8ff4O8yVp5Bf0efS8uEoYo5q4Fx7dY9OgQGXgAsQA==" }, - "node_modules/wrap-ansi-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/wrap-ansi-cjs/node_modules/string-width": { - "version": "4.2.3", - "resolved": "https://registry.npmjs.org/string-width/-/string-width-4.2.3.tgz", - "integrity": "sha512-wKyQRQpjJ0sIp62ErSZdGsjMJWsap5oRNihHhu6G7JVO/9jIB6UyevL+tXuOqrng8j/cxKTWyWUwvSTriiZz/g==", - "dependencies": { - "emoji-regex": "^8.0.0", - "is-fullwidth-code-point": "^3.0.0", - "strip-ansi": "^6.0.1" - }, - "engines": { - "node": ">=8" - } - }, "node_modules/wrap-ansi/node_modules/ansi-regex": { "version": "6.0.1", "resolved": "https://registry.npmjs.org/ansi-regex/-/ansi-regex-6.0.1.tgz", @@ -13150,6 +13619,27 @@ "url": "https://github.com/chalk/ansi-styles?sponsor=1" } }, + "node_modules/wrap-ansi/node_modules/emoji-regex": { + "version": "9.2.2", + "resolved": "https://registry.npmjs.org/emoji-regex/-/emoji-regex-9.2.2.tgz", + "integrity": "sha512-L18DaJsXSUk2+42pv8mLs5jJT2hqFkFE4j21wOmgbUqsZ2hL72NsUU785g9RXgo3s0ZNgVl42TiHp3ZtOv/Vyg==" + }, + "node_modules/wrap-ansi/node_modules/string-width": { + "version": "5.1.2", + "resolved": "https://registry.npmjs.org/string-width/-/string-width-5.1.2.tgz", + "integrity": "sha512-HnLOCR3vjcY8beoNLtcjZ5/nxn2afmME6lhrDrebokqMap+XbeW8n9TXpPDOqdGK5qcI3oT0GKTW6wC7EMiVqA==", + "dependencies": { + "eastasianwidth": "^0.2.0", + "emoji-regex": "^9.2.2", + "strip-ansi": "^7.0.1" + }, + "engines": { + "node": ">=12" + }, + "funding": { + "url": "https://github.com/sponsors/sindresorhus" + } + }, "node_modules/wrap-ansi/node_modules/strip-ansi": { "version": "7.1.0", "resolved": "https://registry.npmjs.org/strip-ansi/-/strip-ansi-7.1.0.tgz", @@ -13168,7 +13658,7 @@ "version": "1.0.2", "resolved": "https://registry.npmjs.org/wrappy/-/wrappy-1.0.2.tgz", "integrity": "sha512-l4Sp/DRseor9wL6EvV2+TuQn63dMkPjZ/sp9XkghTEbV9KlPS1xUsZ3u7/IQO4wxtcFB4bgpQPRcR3QCvezPcQ==", - "dev": true + "devOptional": true }, "node_modules/ws": { "version": "8.16.0", diff --git a/src/frontend/package.json b/src/frontend/package.json index 26dc911af..ddef9be04 100644 --- a/src/frontend/package.json +++ b/src/frontend/package.json @@ -37,11 +37,13 @@ "dompurify": "^3.0.5", "dotenv": "^16.4.5", "esbuild": "^0.17.19", + "file-saver": "^2.0.5", "framer-motion": "^11.0.6", "lodash": "^4.17.21", "lucide-react": "^0.331.0", "million": "^3.0.6", "moment": "^2.29.4", + "openseadragon": "^4.1.1", "playwright": "^1.42.0", "react": "^18.2.21", "react-ace": "^10.1.0", @@ -51,6 +53,7 @@ "react-icons": "^5.0.1", "react-laag": "^2.0.5", "react-markdown": "^8.0.7", + "react-pdf": "^7.7.1", "react-router-dom": "^6.15.0", "react-syntax-highlighter": "^15.5.0", "react18-json-view": "^0.2.3", @@ -72,7 +75,7 @@ "start": "vite", "build": "vite build", "serve": "vite preview", - "format": "npx prettier --write \"./**/*.{js,jsx,ts,tsx,json,md}\"", + "format": "npx prettier --write \"./**/*.{js,jsx,ts,tsx,json,md}\" --ignore-path .prettierignore", "type-check": "tsc --noEmit --pretty --project tsconfig.json && vite" }, "eslintConfig": { diff --git a/src/frontend/src/App.css b/src/frontend/src/App.css index 6aa681415..22a596730 100644 --- a/src/frontend/src/App.css +++ b/src/frontend/src/App.css @@ -96,6 +96,18 @@ body { } .custom-hover:hover { - background-color: rgba(99, 102, 241, 0.1); /* Medium indigo color with 20% opacity */ + background-color: rgba( + 99, + 102, + 241, + 0.1 + ); /* Medium indigo color with 20% opacity */ } +.json-view-playground .json-view { + background-color: #fff !important; +} + +.json-view-flow .json-view { + background-color: #bbb !important; +} diff --git a/src/frontend/src/App.tsx b/src/frontend/src/App.tsx index 6c5af17df..1a04e08f7 100644 --- a/src/frontend/src/App.tsx +++ b/src/frontend/src/App.tsx @@ -22,7 +22,6 @@ import useFlowsManagerStore from "./stores/flowsManagerStore"; import { useGlobalVariablesStore } from "./stores/globalVariables"; import { useStoreStore } from "./stores/storeStore"; import { useTypesStore } from "./stores/typesStore"; - export default function App() { const removeFromTempNotificationList = useAlertStore( (state) => state.removeFromTempNotificationList @@ -48,6 +47,9 @@ export default function App() { const setGlobalVariables = useGlobalVariablesStore( (state) => state.setGlobalVariables ); + const setUnavailableFields = useGlobalVariablesStore( + (state) => state.setUnavaliableFields + ); const checkHasStore = useStoreStore((state) => state.checkHasStore); const navigate = useNavigate(); const dark = useDarkStore((state) => state.dark); @@ -63,9 +65,10 @@ export default function App() { }, [dark]); useEffect(() => { + const abortController = new AbortController(); const isLoginPage = location.pathname.includes("login"); - autoLogin() + autoLogin(abortController.signal) .then(async (user) => { if (user && user["access_token"]) { user["refresh_token"] = "auto"; @@ -76,31 +79,44 @@ export default function App() { await Promise.all([refreshStars(), refreshVersion(), fetchData()]); } }) - .catch(async () => { - setAutoLogin(false); - if (isAuthenticated && !isLoginPage) { - getUser(); - await Promise.all([refreshStars(), refreshVersion(), fetchData()]); - } else { - setLoading(false); - useFlowsManagerStore.setState({ isLoading: false }); + .catch(async (error) => { + if (error.name !== "CanceledError") { + setAutoLogin(false); + if (isAuthenticated && !isLoginPage) { + getUser(); + await Promise.all([refreshStars(), refreshVersion(), fetchData()]); + } else { + setLoading(false); + useFlowsManagerStore.setState({ isLoading: false }); + } } }); - }, [isAuthenticated]); + + /* + Abort the request as it isn't needed anymore, the component being + unmounted. It helps avoid, among other things, the well-known "can't + perform a React state update on an unmounted component" warning. + */ + return () => abortController.abort(); + }, []); const fetchData = async () => { - if (isAuthenticated) { - try { - await getTypes(); - refreshFlows(); - const res = await getGlobalVariables(); - setGlobalVariables(res); - checkHasStore(); - fetchApiData(); - } catch (error) { - console.error("Failed to fetch data:", error); + return new Promise(async (resolve, reject) => { + if (isAuthenticated) { + try { + await getTypes(); + await refreshFlows(); + const res = await getGlobalVariables(); + setGlobalVariables(res); + checkHasStore(); + fetchApiData(); + resolve(); + } catch (error) { + console.error("Failed to fetch data:", error); + reject(); + } } - } + }); }; useEffect(() => { diff --git a/src/frontend/src/CustomNodes/GenericNode/components/parameterComponent/index.tsx b/src/frontend/src/CustomNodes/GenericNode/components/parameterComponent/index.tsx index eef861758..ad00225b8 100644 --- a/src/frontend/src/CustomNodes/GenericNode/components/parameterComponent/index.tsx +++ b/src/frontend/src/CustomNodes/GenericNode/components/parameterComponent/index.tsx @@ -618,7 +618,7 @@ export default function ParameterComponent({ diff --git a/src/frontend/src/CustomNodes/GenericNode/index.tsx b/src/frontend/src/CustomNodes/GenericNode/index.tsx index 29673fdb8..64d3b4bea 100644 --- a/src/frontend/src/CustomNodes/GenericNode/index.tsx +++ b/src/frontend/src/CustomNodes/GenericNode/index.tsx @@ -645,7 +645,11 @@ export default function GenericNode({ variant="secondary" className={"group h-9 px-1.5"} > -
+
{renderIconStatus(buildStatus, validationStatus)}
diff --git a/src/frontend/src/components/ImageViewer/index.tsx b/src/frontend/src/components/ImageViewer/index.tsx new file mode 100644 index 000000000..6adda4e3e --- /dev/null +++ b/src/frontend/src/components/ImageViewer/index.tsx @@ -0,0 +1,141 @@ +import { useEffect, useRef, useState } from "react"; +import ForwardedIconComponent from "../genericIconComponent"; +import useFlowStore from "../../stores/flowStore"; +import OpenSeadragon from 'openseadragon'; +import { Separator } from "../ui/separator"; +import { saveAs } from 'file-saver' +import useAlertStore from "../../stores/alertStore"; +import { IMGViewErrorMSG, IMGViewErrorTitle } from "../../constants/constants"; + +export default function ImageViewer({image }) { + const viewerRef = useRef(null); + const [errorDownloading, setErrordownloading] = useState(false) + const setErrorList = useAlertStore(state => state.setErrorData); + const [initialMsg, setInicialMsg] = useState("Please build your flow"); + + + useEffect(() => { + try { + if (viewerRef.current) { + // Initialize OpenSeadragon viewer + const viewer = OpenSeadragon({ + element: viewerRef.current, + prefixUrl: 'https://cdnjs.cloudflare.com/ajax/libs/openseadragon/2.4.2/images/', // Optional: Set the path to OpenSeadragon images + tileSources: {type: 'image', url: image}, + defaultZoomLevel: 1, + maxZoomPixelRatio: 4, + showNavigationControl: false, + }); + const zoomInButton = document.getElementById('zoom-in-button'); + const zoomOutButton = document.getElementById('zoom-out-button'); + const homeButton = document.getElementById('home-button'); + const fullPageButton = document.getElementById('full-page-button'); + + zoomInButton!.addEventListener('click', () => viewer.viewport.zoomBy(1.2)); + zoomOutButton!.addEventListener('click', () => viewer.viewport.zoomBy(0.8)); + homeButton!.addEventListener('click', () => viewer.viewport.goHome()); + fullPageButton!.addEventListener('click', () => viewer.setFullScreen(true)); + + // Optionally, you can set additional viewer options here + + // Cleanup function + return () => { + viewer.destroy(); + zoomInButton!.removeEventListener('click', () => viewer.viewport.zoomBy(1.2)); + zoomOutButton!.removeEventListener('click', () => viewer.viewport.zoomBy(0.8)); + homeButton!.removeEventListener('click', () => viewer.viewport.goHome()); + fullPageButton!.removeEventListener('click', () => viewer.setFullScreen(true)); + }; + } + } catch (error) { + console.error('Error initializing OpenSeadragon:', error); + } + }, [image]); + + function download() { + const imageUrl = image; + // Fetch the image data + fetch(imageUrl) + .then(response => response.blob()) + .then(blob => { + // Save the image using FileSaver.js + saveAs(blob, 'image.jpg'); + }) + .catch(error => { + setErrorList({title: "There was an error downloading your image"}) + console.error('Error downloading image:', error) + }); + } + + return ( + image === "" ? ( +
+
+ + {IMGViewErrorTitle} +
+
+
+
+ {IMGViewErrorMSG} +
+
+
+
+ ) : ( + <> +
+
+ +
+ +
+ +
+ +
+ +
+ +
+ +
+ +
+ + + +
+
+
+ + ) + ); +} \ No newline at end of file diff --git a/src/frontend/src/components/addNewVariableButtonComponent/addNewVariableButton.tsx b/src/frontend/src/components/addNewVariableButtonComponent/addNewVariableButton.tsx index 8dab6420f..e5e8dd488 100644 --- a/src/frontend/src/components/addNewVariableButtonComponent/addNewVariableButton.tsx +++ b/src/frontend/src/components/addNewVariableButtonComponent/addNewVariableButton.tsx @@ -3,6 +3,7 @@ import { registerGlobalVariable } from "../../controllers/API"; import BaseModal from "../../modals/baseModal"; import useAlertStore from "../../stores/alertStore"; import { useGlobalVariablesStore } from "../../stores/globalVariables"; +import { useTypesStore } from "../../stores/typesStore"; import { ResponseErrorDetailAPI } from "../../types/api"; import ForwardedIconComponent from "../genericIconComponent"; import InputComponent from "../inputComponent"; @@ -16,25 +17,42 @@ import { Textarea } from "../ui/textarea"; export default function AddNewVariableButton({ children }): JSX.Element { const [key, setKey] = useState(""); const [value, setValue] = useState(""); - const [type, setType] = useState(""); + const [type, setType] = useState("Generic"); + const [fields, setFields] = useState([]); const [open, setOpen] = useState(false); const setErrorData = useAlertStore((state) => state.setErrorData); + const componentFields = useTypesStore((state) => state.ComponentFields); + const unavaliableFields =new Set(Object.keys(useGlobalVariablesStore( + (state) => state.unavaliableFields + ))); + + const availableFields = Array.from(componentFields).filter( + (field) => !unavaliableFields.has(field) + ); const addGlobalVariable = useGlobalVariablesStore( (state) => state.addGlobalVariable ); + function handleSaveVariable() { - let data: { name: string; value: string; type?: string } = { + let data: { + name: string; + value: string; + type?: string; + default_fields?: string[]; + } = { name: key, type, value, + default_fields: fields, }; registerGlobalVariable(data) .then((res) => { const { name, id, type } = res.data; - addGlobalVariable(name, id, type); + addGlobalVariable(name, id, type, fields); setKey(""); setValue(""); setType(""); + setFields([]); setOpen(false); }) .catch((error) => { @@ -89,6 +107,14 @@ export default function AddNewVariableButton({ children }): JSX.Element { placeholder="Insert a value for the variable..." className="w-full resize-none custom-scroll" /> + + setFields(value)} + selectedOptions={fields} + password={false} + options={availableFields} + placeholder="Choose a field for the variable..." + >
diff --git a/src/frontend/src/components/cardComponent/index.tsx b/src/frontend/src/components/cardComponent/index.tsx index 2ec60e0a2..20f44cbde 100644 --- a/src/frontend/src/components/cardComponent/index.tsx +++ b/src/frontend/src/components/cardComponent/index.tsx @@ -1,7 +1,9 @@ import { useEffect, useState } from "react"; import { getComponent, postLikeComponent } from "../../controllers/API"; import DeleteConfirmationModal from "../../modals/DeleteConfirmationModal"; +import IOModal from "../../modals/IOModal"; import useAlertStore from "../../stores/alertStore"; +import useFlowStore from "../../stores/flowStore"; import useFlowsManagerStore from "../../stores/flowsManagerStore"; import { useStoreStore } from "../../stores/storeStore"; import { storeComponent } from "../../types/store"; @@ -18,24 +20,30 @@ import { CardHeader, CardTitle, } from "../ui/card"; +import Loading from "../ui/loading"; export default function CollectionCardComponent({ data, authorized = true, disabled = false, button, + onClick, onDelete, + playground, }: { data: storeComponent; authorized?: boolean; disabled?: boolean; + onClick?: () => void; button?: JSX.Element; + playground?: boolean; onDelete?: () => void; }) { const addFlow = useFlowsManagerStore((state) => state.addFlow); const setSuccessData = useAlertStore((state) => state.setSuccessData); const setErrorData = useAlertStore((state) => state.setErrorData); const setValidApiKey = useStoreStore((state) => state.updateValidApiKey); + const cleanFlowPool = useFlowStore((state) => state.CleanFlowPool); const isStore = false; const [loading, setLoading] = useState(false); const [loadingLike, setLoadingLike] = useState(false); @@ -46,9 +54,39 @@ export default function CollectionCardComponent({ const [downloads_count, setDownloads_count] = useState( data?.downloads_count ?? 0 ); + const currentFlow = useFlowsManagerStore((state) => state.currentFlow); + const setCurrentFlow = useFlowsManagerStore((state) => state.setCurrentFlow); + const getFlowById = useFlowsManagerStore((state) => state.getFlowById); + const currentFlowId = useFlowsManagerStore((state) => state.currentFlowId); + const setNodes = useFlowStore((state) => state.setNodes); + const setEdges = useFlowStore((state) => state.setEdges); + const [openPlayground, setOpenPlayground] = useState(false); + const setCurrentFlowId = useFlowsManagerStore( + (state) => state.setCurrentFlowId + ); + const [loadingPlayground, setLoadingPlayground] = useState(false); const name = data.is_component ? "Component" : "Flow"; + async function getFlowData() { + const res = await getComponent(data.id); + const newFlow = cloneFLowWithParent(res, res.id, data.is_component, true); + return newFlow; + } + + useEffect(() => { + if (currentFlowId && playground) { + if (openPlayground) { + setNodes(currentFlow?.data?.nodes ?? [], true); + setEdges(currentFlow?.data?.edges ?? [], true); + } else { + setNodes([], true); + setEdges([], true); + cleanFlowPool(); + } + } + }, [openPlayground]); + useEffect(() => { if (data) { setLiked_by_user(data?.liked_by_user ?? false); @@ -128,226 +166,325 @@ export default function CollectionCardComponent({ } return ( - -
- -
- - - -
{data.name}
- - {data?.metadata !== undefined && ( -
- {data.private && ( - - - - - + <> + +
+ +
+ + + name={data.is_component ? "ToyBrick" : "Group"} + /> + +
{data.name}
+ + {data?.metadata !== undefined && ( +
+ {data.private && ( + + + + + + )} + {!data.is_component && ( + + + + + {data?.metadata?.total ?? 0} + + + + )} + - - - {data?.metadata?.total ?? 0} + + + {likes_count ?? 0} - )} - - - - - {likes_count ?? 0} + + + + + {downloads_count ?? 0} + - - - - - - - {downloads_count ?? 0} - - - -
- )} + +
+ )} - {onDelete && data?.metadata === undefined && ( - { - onDelete(); + {onDelete && data?.metadata === undefined && ( + { + onDelete(); + }} + > + + + )} + +
+
+ {data.user_created && data.user_created.username && ( + + by {data.user_created.username} + {data.last_tested_version && ( + <> + {" "} + |{" "} + + {" "} + ⛓︎ v{data.last_tested_version} + + + )} + + )} +
+ {data.tags && + data.tags.length > 0 && + data.tags.map((tag, index) => ( + + {tag.name} + + ))} +
+
+ + +
{data.description}
+ + +
+ + +
+
+ {playground && data?.metadata !== undefined ? ( + + ) : ( +
)} - -
- {data.user_created && data.user_created.username && ( - - by {data.user_created.username} - {data.last_tested_version && ( - <> - {" "} - |{" "} - - {" "} - ⛓︎ v{data.last_tested_version} - - - )} - - )} - - -
{data.description}
- - -
- - -
-
-
- {data.tags && - data.tags.length > 0 && - data.tags.map((tag, index) => ( - - {tag.name} - - ))} -
- {data.liked_by_count != undefined && ( -
- {onDelete && data?.metadata !== undefined ? ( - - { - onDelete(); - }} + {data.liked_by_count != undefined && ( +
+ {onDelete && data?.metadata !== undefined ? ( + + { + onDelete(); + }} + > + + + + ) : ( + - - - ) : ( + + )} - )} - - - -
- )} - {button && button} + ) : ( + + )} + Playground + + )} +
-
- - + + + {openPlayground && ( + + <> + + )} + ); } diff --git a/src/frontend/src/components/chatComponent/index.tsx b/src/frontend/src/components/chatComponent/index.tsx index 66ff2b609..cac3c548a 100644 --- a/src/frontend/src/components/chatComponent/index.tsx +++ b/src/frontend/src/components/chatComponent/index.tsx @@ -87,15 +87,15 @@ export default function FlowToolbar(): JSX.Element { } >
-
+
{hasIO ? ( -
+
- Run + Playground
) : ( diff --git a/src/frontend/src/components/codeTabsComponent/index.tsx b/src/frontend/src/components/codeTabsComponent/index.tsx index 78c344714..a3c581313 100644 --- a/src/frontend/src/components/codeTabsComponent/index.tsx +++ b/src/frontend/src/components/codeTabsComponent/index.tsx @@ -39,8 +39,8 @@ import { classNames } from "../../utils/utils"; import ShadTooltip from "../ShadTooltipComponent"; import DictComponent from "../dictComponent"; import IconComponent from "../genericIconComponent"; -import InputGlobalComponent from "../inputGlobalComponent"; import KeypairListComponent from "../keypairListComponent"; +import InputComponent from "../inputComponent"; export default function CodeTabsComponent({ flow, @@ -267,7 +267,7 @@ export default function CodeTabsComponent({
{node.data.node.template[ templateField - ].list ? ( + ]?.list ? (
) : ( - { - if (node.data) { - setNode( - node.data.id, - (oldNode) => { - let newNode = - cloneDeep( - oldNode - ); - - newNode.data = { - ...newNode.data, - }; - - newNode.data.node.template[ - templateField - ].value = target; - - return newNode; - } - ); - } + setData((old) => { + let newInputList = + cloneDeep(old); + newInputList![ + i + ].data.node.template[ + templateField + ].value = target; + return newInputList; + }); tweaks.buildTweakObject!( node["data"]["id"], target, @@ -384,25 +391,6 @@ export default function CodeTabsComponent({ ] ); }} - setDb={(value) => { - setNode( - node.data.id, - (oldNode) => { - let newNode = - cloneDeep(oldNode); - newNode.data = { - ...newNode.data, - }; - newNode.data.node.template[ - templateField - ].load_from_db = - value; - return newNode; - } - ); - }} - name={templateField} - data={node.data} /> )}
@@ -745,7 +733,7 @@ export default function CodeTabsComponent({ isList={ node.data.node!.template[ templateField - ].list ?? false + ]?.list ?? false } />
diff --git a/src/frontend/src/components/csvOutputComponent/helpers/convert-data-function.ts b/src/frontend/src/components/csvOutputComponent/helpers/convert-data-function.ts new file mode 100644 index 000000000..9c9211ac6 --- /dev/null +++ b/src/frontend/src/components/csvOutputComponent/helpers/convert-data-function.ts @@ -0,0 +1,27 @@ +export const convertCSVToData = (csvFile, csvSeparator: string) => { + const lines = csvFile.data.trim().split("\n"); + const headers = lines[0].trim().split(csvSeparator); + + + const initialRowData: any = []; + const initialColDefs = headers.map((header) => ({ + field: header.trim(), + wrapText: true, + autoHeight: true, + height: "100%", + })); + + for (let i = 1; i < lines.length; i++) { + const data = lines[i].trim().split(csvSeparator); + const rowDataEntry: any = {}; + + for (let j = 0; j < headers.length; j++) { + const value = isNaN(data[j]) ? data[j] : parseFloat(data[j]); + rowDataEntry[headers[j].trim()] = value; + } + + initialRowData.push(rowDataEntry); + } + + return { rowData: initialRowData, colDefs: initialColDefs }; +}; diff --git a/src/frontend/src/components/csvOutputComponent/index.tsx b/src/frontend/src/components/csvOutputComponent/index.tsx new file mode 100644 index 000000000..dbe527bc0 --- /dev/null +++ b/src/frontend/src/components/csvOutputComponent/index.tsx @@ -0,0 +1,182 @@ +import "ag-grid-community/styles/ag-grid.css"; // Mandatory CSS required by the grid +import "ag-grid-community/styles/ag-theme-balham.css"; // Optional Theme applied to the grid +import { AgGridReact } from "ag-grid-react"; +import { useCallback, useEffect, useMemo, useState } from "react"; +import { + CSVError, + CSVNoDataError, + CSVViewErrorTitle, +} from "../../constants/constants"; +import { useDarkStore } from "../../stores/darkStore"; +import { FlowPoolObjectType } from "../../types/chat"; +import { NodeType } from "../../types/flow"; +import ForwardedIconComponent from "../genericIconComponent"; +import Loading from "../ui/loading"; +import { convertCSVToData } from "./helpers/convert-data-function"; + +function CsvOutputComponent({ + csvNode, + flowPool, +}: { + csvNode: NodeType; + flowPool: FlowPoolObjectType; +}) { + const csvNodeArtifacts = flowPool?.data?.artifacts?.repr; + const jsonString = csvNodeArtifacts?.replace(/'/g, '"'); + let file = null; + try { + file = JSON?.parse(jsonString) || ""; + } catch (e) { + console.log("Error parsing JSON"); + } + + if (!file) { + return ( +
+
+ + {CSVViewErrorTitle} +
+
+
+
{CSVError}
+
+
+
+ ); + } + + const separator = csvNode?.data?.node?.template?.separator?.value || ","; + + const dark = useDarkStore.getState().dark; + + const [rowData, setRowData] = useState([]); + const [colDefs, setColDefs] = useState([]); + + const [status, setStatus] = useState("loading"); + var currentRowHeight: number; + var minRowHeight = 25; + const defaultColDef = useMemo(() => { + return { + width: 200, + editable: true, + filter: true, + }; + }, []); + + useEffect(() => { + setStatus("loading"); + if (file) { + const { rowData: data, colDefs: columns } = convertCSVToData( + file, + separator + ); + setRowData(data); + setColDefs(columns); + + setTimeout(() => { + setStatus("loaded"); + }, 1000); + } else { + setStatus("nodata"); + } + }, [separator]); + + const getRowHeight = useCallback(() => { + return currentRowHeight; + }, []); + + const onGridReady = useCallback((params: any) => { + minRowHeight = params.api.getSizesForCurrentTheme().rowHeight; + currentRowHeight = minRowHeight; + }, []); + + const updateRowHeight = (params: { api: any }) => { + const bodyViewport = document.querySelector(".ag-body-viewport"); + if (!bodyViewport) { + return; + } + var gridHeight = bodyViewport.clientHeight; + var renderedRowCount = params.api.getDisplayedRowCount(); + + if (renderedRowCount * minRowHeight >= gridHeight) { + if (currentRowHeight !== minRowHeight) { + currentRowHeight = minRowHeight; + params.api.resetRowHeights(); + } + } else { + currentRowHeight = Math.floor(gridHeight / renderedRowCount); + params.api.resetRowHeights(); + } + }; + + const onFirstDataRendered = useCallback( + (params: any) => { + updateRowHeight(params); + }, + [updateRowHeight] + ); + + const onGridSizeChanged = useCallback( + (params: any) => { + updateRowHeight(params); + }, + [updateRowHeight] + ); + + return ( +
+ {status === "nodata" && ( +
+
+ + {CSVViewErrorTitle} +
+
+
+
{CSVNoDataError}
+
+
+
+ )} + {status === "error" && ( +
+
+ + {CSVViewErrorTitle} +
+
+
+
{CSVError}
+
+
+
+ )} + + {status === "loaded" && ( +
+ +
+ )} + {status === "loading" && ( +
+ +
+ )} +
+ ); +} + +export default CsvOutputComponent; diff --git a/src/frontend/src/components/dropdownComponent/index.tsx b/src/frontend/src/components/dropdownComponent/index.tsx index c3407aba8..b17332268 100644 --- a/src/frontend/src/components/dropdownComponent/index.tsx +++ b/src/frontend/src/components/dropdownComponent/index.tsx @@ -33,7 +33,9 @@ export default function Dropdown({ const refButton = useRef(null); - const PopoverContentDropdown = children ? PopoverContent : PopoverContentWithoutPortal; + const PopoverContentDropdown = children + ? PopoverContent + : PopoverContentWithoutPortal; return ( <> @@ -77,7 +79,11 @@ export default function Dropdown({ )} diff --git a/src/frontend/src/components/genericIconComponent/index.tsx b/src/frontend/src/components/genericIconComponent/index.tsx index 1fce0525c..f4e6a49d6 100644 --- a/src/frontend/src/components/genericIconComponent/index.tsx +++ b/src/frontend/src/components/genericIconComponent/index.tsx @@ -5,6 +5,8 @@ import { nodeIconsLucide } from "../../utils/styleUtils"; import { cn } from "../../utils/utils"; import Loading from "../ui/loading"; +import { useEffect, useState } from "react"; + const ForwardedIconComponent = memo( forwardRef( ( @@ -18,9 +20,18 @@ const ForwardedIconComponent = memo( }: IconComponentProps, ref ) => { + const [showFallback, setShowFallback] = useState(false); + + useEffect(() => { + const timer = setTimeout(() => { + setShowFallback(true); + }, 30); + + return () => clearTimeout(timer); + }, []); + let TargetIcon = nodeIconsLucide[name]; if (!TargetIcon) { - // check if name exists in dynamicIconImports if (!dynamicIconImports[name]) { TargetIcon = nodeIconsLucide["unknown"]; } else TargetIcon = lazy(dynamicIconImports[name]); @@ -35,11 +46,15 @@ const ForwardedIconComponent = memo( if (!TargetIcon) { return null; // Render nothing until the icon is loaded } - const fallback = ( + + const fallback = showFallback ? (
+ ) : ( +
); + return ( { - (selectedOption !== "" || !onChange) && - setSelectedOption && + (((selectedOption !== "" || !onChange) && + setSelectedOption) || + ((selectedOptions?.length !== 0 || !onChange) && + setSelectedOptions)) && setShowOptions(true); }} required={required} @@ -119,9 +126,11 @@ export default function InputComponent({ ? " text-clip password " : "", editNode ? " input-edit-node " : "", - password && setSelectedOption ? "pr-[62.9px]" : "", - (!password && setSelectedOption) || - (password && !setSelectedOption) + password && (setSelectedOption || setSelectedOptions) + ? "pr-[62.9px]" + : "", + (!password && (setSelectedOption || setSelectedOptions)) || + (password && !(setSelectedOption || setSelectedOptions)) ? "pr-8" : "", @@ -164,7 +173,10 @@ export default function InputComponent({ > { - if (value.includes(search) || value.includes("doNotFilter-")) + if ( + value.toLowerCase().includes(search.toLowerCase()) || + value.includes("doNotFilter-") + ) return 1; // ensures items arent filtered return 0; }} @@ -184,7 +196,15 @@ export default function InputComponent({ ? "" : currentValue ); - setShowOptions(false); + setSelectedOptions && + setSelectedOptions( + selectedOptions?.includes(currentValue) + ? selectedOptions.filter( + (item) => item !== currentValue + ) + : [...selectedOptions, currentValue] + ); + !setSelectedOptions && setShowOptions(false); }} >
@@ -192,7 +212,8 @@ export default function InputComponent({
{ setShowOptions((old) => !old); e.preventDefault(); @@ -245,7 +270,7 @@ export default function InputComponent({ )} - {setSelectedOption && ( + {(setSelectedOption || setSelectedOptions) && ( state.getVariableId); + const unavaliableFields = useGlobalVariablesStore( + (state) => state.unavaliableFields + ); const removeGlobalVariable = useGlobalVariablesStore( (state) => state.removeGlobalVariable ); @@ -35,16 +37,32 @@ export default function InputGlobalComponent({ !globalVariablesEntries.includes(data.node?.template[name].value) && data.node?.template[name].load_from_db ) { - onChange(""); - setDb(false); + setTimeout(() => { + onChange(""); + setDb(false); + }, 100); } }, [globalVariablesEntries]); - function handleDelete(key: string) { + useEffect(() => { + if ( + !data.node?.template[name].value && + data.node?.template[name].display_name + ) { + if (unavaliableFields[data.node?.template[name].display_name!] && !disabled) { + setTimeout(() => { + setDb(true); + onChange(unavaliableFields[data.node?.template[name].display_name!]); + }, 100); + } + } + }, [unavaliableFields]); + + async function handleDelete(key: string) { const id = getVariableId(key); if (id !== undefined) { - deleteGlobalVariable(id) - .then((_) => { + await deleteGlobalVariable(id) + .then(() => { removeGlobalVariable(key); if ( data?.node?.template[name].value === key && @@ -54,11 +72,10 @@ export default function InputGlobalComponent({ setDb(false); } }) - .catch((error) => { - let responseError = error as ResponseErrorDetailAPI; + .catch(() => { setErrorData({ title: "Error deleting variable", - list: [responseError.response.data.detail ?? "Unknown error"], + list: [cn("ID not found for variable: ", key)], }); }); } else { @@ -117,7 +134,8 @@ export default function InputGlobalComponent({ )} selectedOption={ - data?.node?.template[name].load_from_db ?? false + data?.node?.template[name].load_from_db && + globalVariablesEntries.includes(data?.node?.template[name].value ?? "") ? data?.node?.template[name].value : "" } diff --git a/src/frontend/src/components/inputListComponent/index.tsx b/src/frontend/src/components/inputListComponent/index.tsx index b43c6df86..f0aa8cca7 100644 --- a/src/frontend/src/components/inputListComponent/index.tsx +++ b/src/frontend/src/components/inputListComponent/index.tsx @@ -12,6 +12,7 @@ export default function InputListComponent({ disabled, editNode = false, componentName, + playgroundDisabled, }: InputListComponentType): JSX.Element { useEffect(() => { if (disabled && value.length > 0 && value[0] !== "") { @@ -24,7 +25,7 @@ export default function InputListComponent({ value = [value]; } - if (!value.length) value = [""]; + if (!value?.length) value = [""]; return (
)} diff --git a/src/frontend/src/components/keypairListComponent/index.tsx b/src/frontend/src/components/keypairListComponent/index.tsx index fcd35e01e..2fa12e3b8 100644 --- a/src/frontend/src/components/keypairListComponent/index.tsx +++ b/src/frontend/src/components/keypairListComponent/index.tsx @@ -20,7 +20,13 @@ export default function KeypairListComponent({ } }, [disabled]); - const ref = useRef(value.length === 0 ? [{ "": "" }] : value); + const checkValueType = (value) => { + return Array.isArray(value) ? value : [value]; + }; + + const ref = useRef([]); + ref.current = + !value || value?.length === 0 ? [{ "": "" }] : checkValueType(value); useEffect(() => { if (JSON.stringify(value) !== JSON.stringify(ref.current)) { diff --git a/src/frontend/src/components/pdfViewer/Error/index.tsx b/src/frontend/src/components/pdfViewer/Error/index.tsx new file mode 100644 index 000000000..76c35bcd0 --- /dev/null +++ b/src/frontend/src/components/pdfViewer/Error/index.tsx @@ -0,0 +1,23 @@ +import { CHAT_FIRST_INITIAL_TEXT, CHAT_SECOND_INITIAL_TEXT, PDFCheckFlow, PDFLoadErrorTitle } from "../../../constants/constants"; +import IconComponent from "../../genericIconComponent"; + + +export default function Error(): JSX.Element { + return ( +
+
+ + + {PDFLoadErrorTitle} + +
+
+ + {PDFCheckFlow}{" "} + +
+
+ +
+ ); +} \ No newline at end of file diff --git a/src/frontend/src/components/pdfViewer/index.tsx b/src/frontend/src/components/pdfViewer/index.tsx new file mode 100644 index 000000000..725dec395 --- /dev/null +++ b/src/frontend/src/components/pdfViewer/index.tsx @@ -0,0 +1,155 @@ +import { useEffect, useRef, useState } from "react"; +import { Document, Page, pdfjs } from "react-pdf"; +import "react-pdf/dist/esm/Page/AnnotationLayer.css"; +import "react-pdf/dist/esm/Page/TextLayer.css"; +import IconComponent from "../genericIconComponent"; +import Loading from "../ui/loading"; +import Error from "./Error"; +import NoDataPdf from "./noData"; + +pdfjs.GlobalWorkerOptions.workerSrc = `//unpkg.com/pdfjs-dist@${pdfjs.version}/build/pdf.worker.min.js`; + +export default function PdfViewer({ pdf }: { pdf: string }): JSX.Element { + const [numPages, setNumPages] = useState(-1); + const [pageNumber, setPageNumber] = useState(1); + const [scale, setScale] = useState(1); + const [width, setWidth] = useState(undefined); + const [showControl, setShowControl] = useState(false); + const container = useRef(null); + + //shortcuts to change page + useEffect(() => { + function handleKeyDown(event: KeyboardEvent) { + if (event.key === "ArrowLeft") { + if (pageNumber > 1) previousPage(); + } else if (event.key === "ArrowRight") { + if (pageNumber < numPages) nextPage(); + } + } + document.addEventListener("keydown", handleKeyDown); + return () => { + document.removeEventListener("keydown", handleKeyDown); + }; + }, [pageNumber]); + + function onDocumentLoadSuccess({ numPages }) { + setNumPages(numPages); + setPageNumber(1); + } + + function changePage(offset) { + setPageNumber((prevPageNumber) => prevPageNumber + offset); + } + + function previousPage() { + changePage(-1); + } + + function nextPage() { + changePage(1); + } + + //set handle scale in % to real number + function handleScaleChange(e) { + //check if e is a number + if (isNaN(e) || e < 0.1) return; + // round to 2 decimal places + e = Math.round(e * 10) / 10; + + setScale(e); + } + + function zoomIn() { + handleScaleChange(scale + 0.1); + } + function zoomOut() { + if (scale > 0.1) handleScaleChange(scale - 0.1); + } + + function handlePageLoad(page) { + if (!container.current) return; + const containerWidth = container.current.clientWidth; + const pageWidth = page.width; + if (containerWidth > pageWidth) { + setWidth(containerWidth - 10); + } + } + + return ( +
setShowControl(true)} + onMouseLeave={(_) => setShowControl(false)} + className="flex h-full w-full flex-col items-center justify-end overflow-clip rounded-lg border border-border" + > +
+ + +
+ } + onLoadSuccess={onDocumentLoadSuccess} + file={pdf} + noData={} + error={} + className="h-full w-full" + > + + +
+
0 ? "" : " hidden") + } + > +
+ +

+ {pageNumber || (numPages ? 1 : "--")}/{numPages || "--"} +

+ +

|

+ + handleScaleChange(e.target.value)} + value={scale} + /> + +
+
+
+ ); +} diff --git a/src/frontend/src/components/pdfViewer/noData/index.tsx b/src/frontend/src/components/pdfViewer/noData/index.tsx new file mode 100644 index 000000000..b5edee0bb --- /dev/null +++ b/src/frontend/src/components/pdfViewer/noData/index.tsx @@ -0,0 +1,17 @@ +import { PDFErrorTitle, PDFLoadError } from "../../../constants/constants"; + +export default function NoDataPdf(): JSX.Element { + return ( +
+
+ + đź“„ {PDFErrorTitle} + +
+
+ {PDFLoadError} +
+
+
+ ); +} diff --git a/src/frontend/src/constants/constants.ts b/src/frontend/src/constants/constants.ts index c8d7626ca..6893d0d03 100644 --- a/src/frontend/src/constants/constants.ts +++ b/src/frontend/src/constants/constants.ts @@ -161,6 +161,29 @@ export const IMPORT_DIALOG_SUBTITLE = */ export const TOOLTIP_EMPTY = "No compatible components found."; +export const CSVViewErrorTitle = "CSV output"; + +export const CSVNoDataError = "No data available"; + +export const PDFViewConstant = "Expand the ouptut to see the PDF"; + +export const CSVError = "Error loading CSV"; + +export const PDFLoadErrorTitle = "Error loading PDF"; + +export const PDFCheckFlow = "Please check your flow and try again"; + +export const PDFErrorTitle = "PDF Output"; + +export const PDFLoadError = "Run the flow to see the pdf"; + +export const IMGViewConstant = "Expand the view to see the image"; + +export const IMGViewErrorMSG = + "Run the flow or inform a valid url to see your image"; + +export const IMGViewErrorTitle = "Image output"; + /** * The base text for subtitle of code dialog * @constant @@ -688,8 +711,23 @@ export const LANGFLOW_SUPPORTED_TYPES = new Set([ export const priorityFields = new Set(["code", "template"]); -export const INPUT_TYPES = new Set(["ChatInput", "TextInput"]); -export const OUTPUT_TYPES = new Set(["ChatOutput", "TextOutput"]); +export const INPUT_TYPES = new Set([ + "ChatInput", + "TextInput", + "KeyPairInput", + "JsonInput", + "StringListInput", +]); +export const OUTPUT_TYPES = new Set([ + "ChatOutput", + "TextOutput", + "PDFOutput", + "ImageOutput", + "CSVOutput", + "JsonOutput", + "KeyPairOutput", + "StringListOutput", +]); export const CHAT_FIRST_INITIAL_TEXT = "Start a conversation and click the agent's thoughts"; diff --git a/src/frontend/src/controllers/API/index.ts b/src/frontend/src/controllers/API/index.ts index 920335a97..787dc7664 100644 --- a/src/frontend/src/controllers/API/index.ts +++ b/src/frontend/src/controllers/API/index.ts @@ -1,5 +1,5 @@ -import { AxiosResponse } from "axios"; -import { ReactFlowJsonObject } from "reactflow"; +import { AxiosRequestConfig, AxiosResponse } from "axios"; +import { Edge, ReactFlowJsonObject,Node } from "reactflow"; import { BASE_URL_API } from "../../constants/constants"; import { api } from "../../controllers/API/api"; import { @@ -406,9 +406,11 @@ export async function onLogin(user: LoginType) { } } -export async function autoLogin() { +export async function autoLogin(abortSignal) { try { - const response = await api.get(`${BASE_URL_API}auto_login`); + const response = await api.get(`${BASE_URL_API}auto_login`, { + signal: abortSignal, + }); if (response.status === 200) { const data = response.data; @@ -860,13 +862,14 @@ export async function requestLogout() { } export async function getGlobalVariables(): Promise<{ - [key: string]: { id: string; type: string }; + [key: string]: { id: string; type: string; default_fields: string[] }; }> { const globalVariables = {}; (await api.get(`${BASE_URL_API}variables/`)).data.forEach((element) => { globalVariables[element.name] = { id: element.id, type: element.type, + default_fields: element.default_fields, }; }); return globalVariables; @@ -876,20 +879,33 @@ export async function registerGlobalVariable({ name, value, type, + default_fields = [], }: { name: string; value: string; type?: string; + default_fields?: string[]; }): Promise> { - return await api.post(`${BASE_URL_API}variables/`, { - name, - value, - type, - }); + try { + const response = await api.post(`${BASE_URL_API}variables/`, { + name, + value, + type, + default_fields: default_fields, + }); + return response; + } catch (error) { + throw error; + } } export async function deleteGlobalVariable(id: string) { - api.delete(`${BASE_URL_API}variables/${id}`); + try { + const response = await api.delete(`${BASE_URL_API}variables/${id}`); + return response; + } catch (error) { + throw error; + } } export async function updateGlobalVariable( @@ -897,26 +913,41 @@ export async function updateGlobalVariable( value: string, id: string ) { - api.patch(`${BASE_URL_API}variables/${id}`, { - name, - value, - }); + try { + const response = api.patch(`${BASE_URL_API}variables/${id}`, { + name, + value, + }); + + return response; + } catch (error) { + throw error; + } } export async function getVerticesOrder( flowId: string, startNodeId?: string | null, - stopNodeId?: string | null + stopNodeId?: string | null, + nodes?:Node[], + Edges?:Edge[] ): Promise> { // nodeId is optional and is a query parameter // if nodeId is not provided, the API will return all vertices - const config = {}; + const config:AxiosRequestConfig = {}; if (stopNodeId) { config["params"] = { stop_component_id: stopNodeId }; } else if (startNodeId) { config["params"] = { start_component_id: startNodeId }; } - return await api.get(`${BASE_URL_API}build/${flowId}/vertices`, config); + const data = { + data:{} + } + if(nodes && Edges){ + data["data"]["nodes"] = nodes + data["data"]["edges"] = Edges + } + return await api.post(`${BASE_URL_API}build/${flowId}/vertices`,data, config); } export async function postBuildVertex( diff --git a/src/frontend/src/modals/EditNodeModal/index.tsx b/src/frontend/src/modals/EditNodeModal/index.tsx index 17da8c73b..87c72d1df 100644 --- a/src/frontend/src/modals/EditNodeModal/index.tsx +++ b/src/frontend/src/modals/EditNodeModal/index.tsx @@ -203,7 +203,7 @@ const EditNodeModal = forwardRef( !myData.node.template[templateParam].options ? (
{myData.node.template[templateParam] - .list ? ( + ?.list ? (
@@ -420,6 +420,10 @@ const EditNodeModal = forwardRef( .type === "int" ? (
{ + if (value) onChange(value); + }, [value]); + const isDark = useDarkStore((state) => state.dark); + + const ref = useRef(null); + ref.current = value; + + const getClassNames = () => { + if (!isDark && !left) return "json-view-playground-white"; + if (!isDark && left) return "json-view-playground-white-left"; + if (isDark && left) return "json-view-playground-dark-left"; + if (isDark && !left) return "json-view-playground-dark"; + }; + + return ( +
+ { + ref.current = edit["src"]; + }} + onChange={(edit) => { + ref.current = edit["src"]; + }} + src={ref.current} + /> +
+ ); +} diff --git a/src/frontend/src/modals/IOModal/components/IOFieldView/components/keyPairInput/index.tsx b/src/frontend/src/modals/IOModal/components/IOFieldView/components/keyPairInput/index.tsx new file mode 100644 index 000000000..2e95e78ef --- /dev/null +++ b/src/frontend/src/modals/IOModal/components/IOFieldView/components/keyPairInput/index.tsx @@ -0,0 +1,107 @@ +import _ from "lodash"; +import { useRef } from "react"; +import IconComponent from "../../../../../../components/genericIconComponent"; +import { Input } from "../../../../../../components/ui/input"; +import { classNames } from "../../../../../../utils/utils"; + +export type IOKeyPairInputProps = { + value: any; + onChange: (value: any) => void; + duplicateKey: boolean; + isList: boolean; + isInputField?: boolean; +}; + +const IOKeyPairInput = ({ + value, + onChange, + duplicateKey, + isList = true, + isInputField, +}: IOKeyPairInputProps) => { + const checkValueType = (value) => { + return Array.isArray(value) ? value : [value]; + }; + + const ref = useRef([]); + ref.current = + !value || value?.length === 0 ? [{ "": "" }] : checkValueType(value); + + const handleChangeKey = (event, idx) => { + const oldKey = Object.keys(ref.current[idx])[0]; + const updatedObj = { [event.target.value]: ref.current[idx][oldKey] }; + ref.current[idx] = updatedObj; + onChange(ref.current); + }; + + const handleChangeValue = (newValue, idx) => { + const key = Object.keys(ref.current[idx])[0]; + ref.current[idx][key] = newValue; + onChange(ref.current); + }; + + return ( + <> +
+ {ref.current?.map((obj, index) => { + return Object.keys(obj).map((key, idx) => { + return ( +
+ handleChangeKey(event, index)} + disabled={!isInputField} + /> + + + handleChangeValue(event.target.value, index) + } + disabled={!isInputField} + /> + + {isList && isInputField && index === ref.current.length - 1 ? ( + + ) : isList && isInputField ? ( + + ) : ( + "" + )} +
+ ); + }); + })} +
+ + ); +}; + +export default IOKeyPairInput; diff --git a/src/frontend/src/modals/IOModal/components/IOFieldView/index.tsx b/src/frontend/src/modals/IOModal/components/IOFieldView/index.tsx index 37c9461b5..36d8be382 100644 --- a/src/frontend/src/modals/IOModal/components/IOFieldView/index.tsx +++ b/src/frontend/src/modals/IOModal/components/IOFieldView/index.tsx @@ -1,9 +1,29 @@ import { cloneDeep } from "lodash"; +import { useState } from "react"; +import ImageViewer from "../../../../components/ImageViewer"; +import CsvOutputComponent from "../../../../components/csvOutputComponent"; +import InputListComponent from "../../../../components/inputListComponent"; +import PdfViewer from "../../../../components/pdfViewer"; +import { + Select, + SelectContent, + SelectGroup, + SelectItem, + SelectTrigger, + SelectValue, +} from "../../../../components/ui/select"; import { Textarea } from "../../../../components/ui/textarea"; +import { PDFViewConstant } from "../../../../constants/constants"; import { InputOutput } from "../../../../constants/enums"; import useFlowStore from "../../../../stores/flowStore"; import { IOFieldViewProps } from "../../../../types/components"; +import { + convertValuesToNumbers, + hasDuplicateKeys, +} from "../../../../utils/reactflowUtils"; import IOFileInput from "./components/FileInput"; +import IoJsonInput from "./components/JSONInput"; +import IOKeyPairInput from "./components/keyPairInput"; export default function IOFieldView({ type, @@ -15,6 +35,20 @@ export default function IOFieldView({ const setNode = useFlowStore((state) => state.setNode); const flowPool = useFlowStore((state) => state.flowPool); const node = nodes.find((node) => node.id === fieldId); + const flowPoolNode = (flowPool[node!.id] ?? [])[ + (flowPool[node!.id]?.length ?? 1) - 1 + ]; + const handleChangeSelect = (e) => { + if (node) { + let newNode = cloneDeep(node); + if (newNode.data.node.template.separator) { + newNode.data.node.template.separator.value = e; + setNode(newNode.id, newNode); + } + } + }; + const [errorDuplicateKey, setErrorDuplicateKey] = useState(false); + function handleOutputType() { if (!node) return <>"No node found!"; switch (type) { @@ -53,6 +87,57 @@ export default function IOFieldView({ /> ); + case "KeyPairInput": + return ( + { + if (node) { + let newNode = cloneDeep(node); + newNode.data.node!.template["input_value"].value = e; + setNode(node.id, newNode); + } + const valueToNumbers = convertValuesToNumbers(e); + setErrorDuplicateKey(hasDuplicateKeys(valueToNumbers)); + }} + duplicateKey={errorDuplicateKey} + isList={node.data.node!.template["input_value"]?.list ?? false} + isInputField + /> + ); + + case "JsonInput": + return ( + { + if (node) { + let newNode = cloneDeep(node); + newNode.data.node!.template["input_value"].value = e; + setNode(node.id, newNode); + } + }} + left={left} + /> + ); + + case "StringListInput": + return ( + <> + { + if (node) { + let newNode = cloneDeep(node); + newNode.data.node!.template["input_value"].value = e; + setNode(node.id, newNode); + } + }} + disabled={false} + /> + + ); + default: return (