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4
docs/docs/components/embeddings.mdx
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@ -98,9 +98,9 @@ Used to load [OpenAI’s](https://openai.com/) embedding models.
Wrapper around [Google Vertex AI](https://cloud.google.com/vertex-ai) [Embeddings API](https://cloud.google.com/vertex-ai/docs/generative-ai/embeddings/get-text-embeddings). Wrapper around [Google Vertex AI](https://cloud.google.com/vertex-ai) [Embeddings API](https://cloud.google.com/vertex-ai/docs/generative-ai/embeddings/get-text-embeddings).
:::info <Admonition type="info">
Vertex AI is a cloud computing platform offered by Google Cloud Platform (GCP). It provides access, management, and development of applications and services through global data centers. To use Vertex AI PaLM, you need to have the [google-cloud-aiplatform](https://pypi.org/project/google-cloud-aiplatform/) Python package installed and credentials configured for your environment. Vertex AI is a cloud computing platform offered by Google Cloud Platform (GCP). It provides access, management, and development of applications and services through global data centers. To use Vertex AI PaLM, you need to have the [google-cloud-aiplatform](https://pypi.org/project/google-cloud-aiplatform/) Python package installed and credentials configured for your environment.
::: </Admonition>
- **credentials:** The default custom credentials (google.auth.credentials.Credentials) to use. - **credentials:** The default custom credentials (google.auth.credentials.Credentials) to use.
- **location:** The default location to use when making API calls – defaults to `us-central1`. - **location:** The default location to use when making API calls – defaults to `us-central1`.

21
docs/docs/components/llms.mdx
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@ -40,9 +40,10 @@ Wrapper around Anthropic's large language model used for chat-based interactions
The `CTransformers` component provides access to the Transformer models implemented in C/C++ using the [GGML](https://github.com/ggerganov/ggml) library. The `CTransformers` component provides access to the Transformer models implemented in C/C++ using the [GGML](https://github.com/ggerganov/ggml) library.
:::info <Admonition type="info">
Make sure to have the `ctransformers` python package installed. Learn more about installation, supported models, and usage [here](https://github.com/marella/ctransformers). Make sure to have the `ctransformers` python package installed. Learn more about installation, supported models, and usage [here](https://github.com/marella/ctransformers).
::: </Admonition>
**config:** Configuration for the Transformer models. Check out [config](https://github.com/marella/ctransformers#config). Defaults to: **config:** Configuration for the Transformer models. Check out [config](https://github.com/marella/ctransformers#config). Defaults to:
@ -115,9 +116,9 @@ Wrapper around [Cohere's](https://cohere.com) large language models.
Wrapper around [HuggingFace](https://www.huggingface.co/models) models. Wrapper around [HuggingFace](https://www.huggingface.co/models) models.
:::info <Admonition type="info">
The HuggingFace Hub is an online platform that hosts over 120k models, 20k datasets, and 50k demo apps, all of which are open-source and publicly available. Discover more at [HuggingFace](http://www.huggingface.co). The HuggingFace Hub is an online platform that hosts over 120k models, 20k datasets, and 50k demo apps, all of which are open-source and publicly available. Discover more at [HuggingFace](http://www.huggingface.co).
::: </Admonition>
- **huggingfacehub_api_token:** Token needed to authenticate the API. - **huggingfacehub_api_token:** Token needed to authenticate the API.
- **model_kwargs:** Keyword arguments to pass to the model. - **model_kwargs:** Keyword arguments to pass to the model.
@ -130,9 +131,9 @@ The HuggingFace Hub is an online platform that hosts over 120k models, 20k datas
The `LlamaCpp` component provides access to the `llama.cpp` models. The `LlamaCpp` component provides access to the `llama.cpp` models.
:::info <Admonition type="info">
Make sure to have the `llama.cpp` python package installed. Learn more about installation, supported models, and usage [here](https://github.com/ggerganov/llama.cpp). Make sure to have the `llama.cpp` python package installed. Learn more about installation, supported models, and usage [here](https://github.com/ggerganov/llama.cpp).
::: </Admonition>
- **echo:** Whether to echo the prompt – defaults to `False`. - **echo:** Whether to echo the prompt – defaults to `False`.
- **f16_kv:** Use half-precision for key/value cache – defaults to `True`. - **f16_kv:** Use half-precision for key/value cache – defaults to `True`.
@ -181,9 +182,9 @@ Wrapper around [OpenAI's](https://openai.com) large language models.
Wrapper around [Google Vertex AI](https://cloud.google.com/vertex-ai) large language models. Wrapper around [Google Vertex AI](https://cloud.google.com/vertex-ai) large language models.
:::info <Admonition type="info">
Vertex AI is a cloud computing platform offered by Google Cloud Platform (GCP). It provides access, management, and development of applications and services through global data centers. To use Vertex AI PaLM, you need to have the [google-cloud-aiplatform](https://pypi.org/project/google-cloud-aiplatform/) Python package installed and credentials configured for your environment. Vertex AI is a cloud computing platform offered by Google Cloud Platform (GCP). It provides access, management, and development of applications and services through global data centers. To use Vertex AI PaLM, you need to have the [google-cloud-aiplatform](https://pypi.org/project/google-cloud-aiplatform/) Python package installed and credentials configured for your environment.
::: </Admonition>
- **credentials:** The default custom credentials (google.auth.credentials.Credentials) to use. - **credentials:** The default custom credentials (google.auth.credentials.Credentials) to use.
- **location:** The default location to use when making API calls – defaults to `us-central1`. - **location:** The default location to use when making API calls – defaults to `us-central1`.
@ -203,9 +204,9 @@ Vertex AI is a cloud computing platform offered by Google Cloud Platform (GCP).
Wrapper around [Google Vertex AI](https://cloud.google.com/vertex-ai) large language models. Wrapper around [Google Vertex AI](https://cloud.google.com/vertex-ai) large language models.
:::info <Admonition type="info">
Vertex AI is a cloud computing platform offered by Google Cloud Platform (GCP). It provides access, management, and development of applications and services through global data centers. To use Vertex AI PaLM, you need to have the [google-cloud-aiplatform](https://pypi.org/project/google-cloud-aiplatform/) Python package installed and credentials configured for your environment. Vertex AI is a cloud computing platform offered by Google Cloud Platform (GCP). It provides access, management, and development of applications and services through global data centers. To use Vertex AI PaLM, you need to have the [google-cloud-aiplatform](https://pypi.org/project/google-cloud-aiplatform/) Python package installed and credentials configured for your environment.
::: </Admonition>
- **credentials:** The default custom credentials (google.auth.credentials.Credentials) to use. - **credentials:** The default custom credentials (google.auth.credentials.Credentials) to use.
- **location:** The default location to use when making API calls – defaults to `us-central1`. - **location:** The default location to use when making API calls – defaults to `us-central1`.

17
docs/docs/components/tools.mdx
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@ -9,6 +9,21 @@ import Admonition from '@theme/Admonition';
</Admonition> </Admonition>
### SearchApi
Real-time search engine results API. Returns structured JSON data that includes answer box, knowledge graph, organic results, and more.
**Parameters**
- **Api Key:** A unique identifier for the SearchApi, necessary for authenticating requests to real-time search engines. This key can be retrieved from the [SearchApi dashboard](https://www.searchapi.io/).
- **Engine:** Specifies the search engine. For instance: google, google_scholar, bing, youtube, and youtube_transcripts. A full list of supported engines is available in the [documentation](https://www.searchapi.io/docs/google).
- **Parameters:** Allows the selection of any parameters recognized by SearchApi, with some being required and others optional.
**Output**
- **Document:** The JSON response from the request as a Document.
### BingSearchRun ### BingSearchRun
Bing Search is a web search engine owned and operated by Microsoft. It provides search results for various types of content, including web pages, images, videos, and news articles. It uses a combination of algorithms and human editors to deliver search results to users. Bing Search is a web search engine owned and operated by Microsoft. It provides search results for various types of content, including web pages, images, videos, and news articles. It uses a combination of algorithms and human editors to deliver search results to users.
@ -60,4 +75,4 @@ Tool for getting metadata about a SQL database. The input to this tool is a comm
**Params** **Params**
- **Db:** SQLDatabase to query. - **Db:** SQLDatabase to query.

5
docs/docs/deployment/gcp-deployment.md
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@ -4,9 +4,8 @@
This guide will help you set up a Langflow development VM in a Google Cloud Platform project using Google Cloud Shell. This guide will help you set up a Langflow development VM in a Google Cloud Platform project using Google Cloud Shell.
:::note > Note: When Cloud Shell opens, be sure to select **Trust repo**. Some `gcloud` commands might not run in an ephemeral Cloud Shell environment.
When Cloud Shell opens, be sure to select **Trust repo**. Some `gcloud` commands might not run in an ephemeral Cloud Shell environment.
:::
## Standard VM ## Standard VM

1
docs/docs/examples/buffer-memory.mdx
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@ -14,6 +14,7 @@ import ZoomableImage from "/src/theme/ZoomableImage.js";
alt="Docusaurus themed image" alt="Docusaurus themed image"
sources={{ sources={{
light: "img/buffer-memory.png", light: "img/buffer-memory.png",
dark: "img/buffer-memory.png",
}} }}
/> />

1
docs/docs/examples/conversation-chain.mdx
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@ -20,6 +20,7 @@ import ZoomableImage from "/src/theme/ZoomableImage.js";
alt="Docusaurus themed image" alt="Docusaurus themed image"
sources={{ sources={{
light: "img/basic-chat.png", light: "img/basic-chat.png",
dark: "img/basic-chat.png",
}} }}
/> />

9
docs/docs/examples/csv-loader.mdx
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@ -32,6 +32,7 @@ import ZoomableImage from "/src/theme/ZoomableImage.js";
alt="Docusaurus themed image" alt="Docusaurus themed image"
sources={{ sources={{
light: "img/csv-loader.png", light: "img/csv-loader.png",
dark: "img/csv-loader.png",
}} }}
/> />
@ -39,12 +40,12 @@ import ZoomableImage from "/src/theme/ZoomableImage.js";
<Admonition type="note" title="LangChain Components 🦜🔗"> <Admonition type="note" title="LangChain Components 🦜🔗">
- [`CSVLoader`](https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/csv) - [`CSVLoader`](https://python.langchain.com/docs/integrations/document_loaders/csv)
- [`CharacterTextSplitter`](https://python.langchain.com/docs/modules/data_connection/document_transformers/text_splitters/character_text_splitter) - [`CharacterTextSplitter`](https://python.langchain.com/docs/modules/data_connection/document_transformers/text_splitters/character_text_splitter)
- [`OpenAIEmbedding`](https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/openai) - [`OpenAIEmbedding`](https://python.langchain.com/docs/integrations/text_embedding/openai)
- [`Chroma`](https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/chroma) - [`Chroma`](https://python.langchain.com/docs/integrations/vectorstores/chroma)
- [`VectorStoreInfo`](https://python.langchain.com/docs/modules/data_connection/vectorstores/) - [`VectorStoreInfo`](https://python.langchain.com/docs/modules/data_connection/vectorstores/)
- [`OpenAI`](https://python.langchain.com/docs/modules/model_io/models/llms/integrations/openai) - [`OpenAI`](https://python.langchain.com/docs/modules/model_io/models/llms/integrations/openai)
- [`VectorStoreAgent`](https://python.langchain.com/docs/modules/agents/toolkits/vectorstore) - [`VectorStoreAgent`](https://js.langchain.com/docs/modules/agents/tools/how_to/agents_with_vectorstores)
</Admonition> </Admonition>

3
docs/docs/examples/flow-runner.mdx
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@ -14,6 +14,7 @@ The CustomComponent class allows us to create components that interact with Lang
alt="Document Processor Component" alt="Document Processor Component"
sources={{ sources={{
light: "img/flow_runner.png", light: "img/flow_runner.png",
dark: "img/flow_runner.png",
}} }}
style={{ style={{
width: "30%", width: "30%",
@ -339,6 +340,7 @@ Done! This is what our script and custom component looks like:
alt="Document Processor Code" alt="Document Processor Code"
sources={{ sources={{
light: "img/flow_runner_code.png", light: "img/flow_runner_code.png",
dark: "img/flow_runner_code.png",
}} }}
style={{ style={{
maxWidth: "100%", maxWidth: "100%",
@ -353,6 +355,7 @@ Done! This is what our script and custom component looks like:
alt="Document Processor Component" alt="Document Processor Component"
sources={{ sources={{
light: "img/flow_runner.png", light: "img/flow_runner.png",
dark: "img/flow_runner.png",
}} }}
style={{ style={{
width: "40%", width: "40%",

1
docs/docs/examples/how-upload-examples.mdx
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@ -12,6 +12,7 @@ Langflow Examples is a repository on [GitHub](https://github.com/logspace-ai/lan
alt="Docusaurus themed image" alt="Docusaurus themed image"
sources={{ sources={{
light: "img/community-examples.png", light: "img/community-examples.png",
dark: "img/community-examples.png",
}} }}
style={{ width: "100%" }} style={{ width: "100%" }}
/> />

3
docs/docs/examples/midjourney-prompt-chain.mdx
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@ -32,6 +32,7 @@ import ZoomableImage from "/src/theme/ZoomableImage.js";
alt="Docusaurus themed image" alt="Docusaurus themed image"
sources={{ sources={{
light: "img/midjourney-prompt-chain.png", light: "img/midjourney-prompt-chain.png",
dark: "img/midjourney-prompt-chain.png",
}} }}
/> />
@ -40,6 +41,6 @@ import ZoomableImage from "/src/theme/ZoomableImage.js";
<Admonition type="note" title="LangChain Components 🦜🔗"> <Admonition type="note" title="LangChain Components 🦜🔗">
- [`OpenAI`](https://python.langchain.com/docs/modules/model_io/models/llms/integrations/openai) - [`OpenAI`](https://python.langchain.com/docs/modules/model_io/models/llms/integrations/openai)
- [`ConversationSummaryMemory`](https://python.langchain.com/docs/modules/memory/how_to/summary) - [`ConversationSummaryMemory`](https://python.langchain.com/docs/modules/memory/types/summary)
</Admonition> </Admonition>

15
docs/docs/examples/multiple-vectorstores.mdx
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@ -24,7 +24,7 @@ https://pt.wikipedia.org/wiki/Harry_Potter
<Admonition type="info"> <Admonition type="info">
Learn more about Multiple Vector Stores Learn more about Multiple Vector Stores
[here](https://python.langchain.com/docs/modules/agents/toolkits/vectorstore?highlight=Multiple%20Vector%20Stores#multiple-vectorstores). [here](https://python.langchain.com/docs/modules/data_connection/vectorstores/).
</Admonition> </Admonition>
## ⛓️ Langflow Example ## ⛓️ Langflow Example
@ -37,6 +37,7 @@ import ZoomableImage from "/src/theme/ZoomableImage.js";
alt="Docusaurus themed image" alt="Docusaurus themed image"
sources={{ sources={{
light: "img/multiple-vectorstores.png", light: "img/multiple-vectorstores.png",
dark: "img/multiple-vectorstores.png",
}} }}
/> />
@ -44,14 +45,14 @@ import ZoomableImage from "/src/theme/ZoomableImage.js";
<Admonition type="note" title="LangChain Components 🦜🔗"> <Admonition type="note" title="LangChain Components 🦜🔗">
- [`WebBaseLoader`](https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/web_base) - [`WebBaseLoader`](https://python.langchain.com/docs/integrations/document_loaders/web_base)
- [`TextLoader`](https://python.langchain.com/docs/modules/data_connection/document_loaders/integrations/unstructured_file) - [`TextLoader`](https://python.langchain.com/docs/modules/data_connection/document_loaders/)
- [`CharacterTextSplitter`](https://python.langchain.com/docs/modules/data_connection/document_transformers/text_splitters/character_text_splitter) - [`CharacterTextSplitter`](https://python.langchain.com/docs/modules/data_connection/document_transformers/text_splitters/character_text_splitter)
- [`OpenAIEmbedding`](https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/openai) - [`OpenAIEmbedding`](https://python.langchain.com/docs/integrations/text_embedding/openai)
- [`Chroma`](https://python.langchain.com/docs/modules/data_connection/vectorstores/integrations/chroma) - [`Chroma`](https://python.langchain.com/docs/integrations/vectorstores/chroma)
- [`VectorStoreInfo`](https://python.langchain.com/docs/modules/data_connection/vectorstores/) - [`VectorStoreInfo`](https://python.langchain.com/docs/modules/data_connection/vectorstores/)
- [`OpenAI`](https://python.langchain.com/docs/modules/model_io/models/llms/integrations/openai) - [`OpenAI`](https://python.langchain.com/docs/modules/model_io/models/llms/integrations/openai)
- [`VectorStoreRouterToolkit`](https://python.langchain.com/docs/modules/agents/toolkits/vectorstore) - [`VectorStoreRouterToolkit`](https://js.langchain.com/docs/modules/agents/tools/how_to/agents_with_vectorstores)
- [`VectorStoreRouterAgent`](https://python.langchain.com/docs/modules/agents/toolkits/vectorstore) - [`VectorStoreRouterAgent`](https://js.langchain.com/docs/modules/agents/tools/how_to/agents_with_vectorstores)
</Admonition> </Admonition>

5
docs/docs/examples/python-function.mdx
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@ -28,7 +28,7 @@ The `AgentInitializer` component is a quick way to construct an agent from the m
<Admonition type="info"> <Admonition type="info">
The `PythonFunction` is a custom component that uses the LangChain 🦜🔗 tool The `PythonFunction` is a custom component that uses the LangChain 🦜🔗 tool
decorator. Learn more about it decorator. Learn more about it
[here](https://python.langchain.com/docs/modules/agents/tools/how_to/custom_tools). [here](https://python.langchain.com/docs/modules/agents/tools/custom_tools).
</Admonition> </Admonition>
## ⛓️ Langflow Example ## ⛓️ Langflow Example
@ -41,6 +41,7 @@ import ZoomableImage from "/src/theme/ZoomableImage.js";
alt="Docusaurus themed image" alt="Docusaurus themed image"
sources={{ sources={{
light: "img/python-function.png", light: "img/python-function.png",
dark: "img/python-function.png",
}} }}
/> />
@ -48,7 +49,7 @@ import ZoomableImage from "/src/theme/ZoomableImage.js";
<Admonition type="note" title="LangChain Components 🦜🔗"> <Admonition type="note" title="LangChain Components 🦜🔗">
- [`PythonFunctionTool`](https://python.langchain.com/docs/modules/agents/tools/how_to/custom_tools) - [`PythonFunctionTool`](https://python.langchain.com/docs/modules/agents/tools/custom_tools)
- [`ChatOpenAI`](https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai) - [`ChatOpenAI`](https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai)
- [`AgentInitializer`](https://python.langchain.com/docs/modules/agents/) - [`AgentInitializer`](https://python.langchain.com/docs/modules/agents/)

52
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@ -0,0 +1,52 @@
import Admonition from "@theme/Admonition";
# SearchApi Tool
The [SearchApi](https://www.searchapi.io/) allows developers to retrieve results from search engines such as Google, Google Scholar, YouTube, YouTube transcripts, and more, and can be used as in Langflow through the `SearchApi` tool.
<Admonition type="info">
To use the SearchApi, you must first obtain an API key by registering at [SearchApi's website](https://www.searchapi.io/).
</Admonition>
In the given example, we specify `engine` as `youtube_transcripts` and provide a `video_id`.
<Admonition type="info">
All engines and parameters can be found in [SearchApi documentation](https://www.searchapi.io/docs/google).
</Admonition>
The `RetrievalQA` chain processes a `Document` along with a user's question to return an answer.
<Admonition type="tip">
In this example, we used [`ChatOpenAI`](https://platform.openai.com/) as the
LLM, but feel free to experiment with other Language Models!
</Admonition>
The `RetrievalQA` takes `CombineDocsChain` and `SearchApi` tool as inputs, using the tool as a `Document` to answer questions.
<Admonition type="info">
Learn more about the SearchApi
[here](https://python.langchain.com/docs/integrations/tools/searchapi).
</Admonition>
## ⛓️ Langflow Example
import ThemedImage from "@theme/ThemedImage";
import useBaseUrl from "@docusaurus/useBaseUrl";
import ZoomableImage from "/src/theme/ZoomableImage.js";
<ZoomableImage
alt="Docusaurus themed image"
sources={{
light: "img/searchapi-tool.png",
}}
/>
#### <a target="\_blank" href="json_files/SearchApi_Tool.json" download>Download Flow</a>
<Admonition type="note" title="LangChain Components 🦜🔗">
- [`OpenAI`](https://python.langchain.com/docs/modules/model_io/models/llms/integrations/openai)
- [`SearchApiAPIWrapper`](https://python.langchain.com/docs/integrations/providers/searchapi#wrappers)
- [`ZeroShotAgent`](https://python.langchain.com/docs/modules/agents/how_to/custom_mrkl_agent)
</Admonition>

5
docs/docs/examples/serp-api-tool.mdx
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@ -22,7 +22,7 @@ The `ZeroShotAgent` takes the `LLMChain` and the `Search` tool as inputs, using
<Admonition type="info"> <Admonition type="info">
Learn more about the Serp API Learn more about the Serp API
[here](https://python.langchain.com/docs/modules/agents/tools/integrations/serpapi). [here](https://python.langchain.com/docs/integrations/providers/serpapi ).
</Admonition> </Admonition>
## ⛓️ Langflow Example ## ⛓️ Langflow Example
@ -35,6 +35,7 @@ import ZoomableImage from "/src/theme/ZoomableImage.js";
alt="Docusaurus themed image" alt="Docusaurus themed image"
sources={{ sources={{
light: "img/serp-api-tool.png", light: "img/serp-api-tool.png",
dark: "img/serp-api-tool.png",
}} }}
/> />
@ -45,7 +46,7 @@ import ZoomableImage from "/src/theme/ZoomableImage.js";
- [`ZeroShotPrompt`](https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/) - [`ZeroShotPrompt`](https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/)
- [`OpenAI`](https://python.langchain.com/docs/modules/model_io/models/llms/integrations/openai) - [`OpenAI`](https://python.langchain.com/docs/modules/model_io/models/llms/integrations/openai)
- [`LLMChain`](https://python.langchain.com/docs/modules/chains/foundational/llm_chain) - [`LLMChain`](https://python.langchain.com/docs/modules/chains/foundational/llm_chain)
- [`Search`](https://python.langchain.com/docs/modules/agents/tools/integrations/serpapi) - [`Search`](https://python.langchain.com/docs/integrations/providers/serpapi)
- [`ZeroShotAgent`](https://python.langchain.com/docs/modules/agents/how_to/custom_mrkl_agent) - [`ZeroShotAgent`](https://python.langchain.com/docs/modules/agents/how_to/custom_mrkl_agent)
</Admonition> </Admonition>

1
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@ -13,6 +13,7 @@ Creating flows with Langflow is easy. Drag sidebar components onto the canvas an
alt="Docusaurus themed image" alt="Docusaurus themed image"
sources={{ sources={{
light: "img/langflow_canvas.png", light: "img/langflow_canvas.png",
dark: "img/langflow_canvas.png"
}} }}
/> />

1
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@ -12,6 +12,7 @@ import ZoomableImage from "/src/theme/ZoomableImage.js";
alt="Docusaurus themed image" alt="Docusaurus themed image"
sources={{ sources={{
light: "img/hugging-face.png", light: "img/hugging-face.png",
dark: "img/hugging-face.png",
}} }}
style={{ width: "100%" }} style={{ width: "100%" }}
/> />

1
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@ -17,6 +17,7 @@ Langflow offers an API Key functionality that allows users to access their indiv
alt="Docusaurus themed image" alt="Docusaurus themed image"
sources={{ sources={{
light: useBaseUrl("img/api-key.png"), light: useBaseUrl("img/api-key.png"),
dark: useBaseUrl("img/api-key.png"),
}} }}
style={{ width: "50%", maxWidth: "600px", margin: "0 auto" }} style={{ width: "50%", maxWidth: "600px", margin: "0 auto" }}
/> />

4
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@ -13,6 +13,7 @@ Langflow’s chat interface provides a user-friendly experience and functionalit
alt="Docusaurus themed image" alt="Docusaurus themed image"
sources={{ sources={{
light: useBaseUrl("img/chat_interface.png"), light: useBaseUrl("img/chat_interface.png"),
dark: useBaseUrl("img/chat_interface.png"),
}} }}
style={{ width: "100%", maxWidth: "800px", margin: "0 auto" }} style={{ width: "100%", maxWidth: "800px", margin: "0 auto" }}
/> />
@ -25,6 +26,7 @@ Notice that editing variables in the chat interface take place temporarily and w
alt="Docusaurus themed image" alt="Docusaurus themed image"
sources={{ sources={{
light: useBaseUrl("img/chat_interface2.png"), light: useBaseUrl("img/chat_interface2.png"),
dark: useBaseUrl("img/chat_interface2.png"),
}} }}
style={{ width: "100%", maxWidth: "800px", margin: "0 auto" }} style={{ width: "100%", maxWidth: "800px", margin: "0 auto" }}
/> />
@ -36,6 +38,7 @@ To view the complete prompt in its original, structured format, click the "Displ
alt="Docusaurus themed image" alt="Docusaurus themed image"
sources={{ sources={{
light: useBaseUrl("img/chat_interface3.png"), light: useBaseUrl("img/chat_interface3.png"),
dark: useBaseUrl("img/chat_interface3.png"),
}} }}
style={{ width: "100%", maxWidth: "800px", margin: "0 auto" }} style={{ width: "100%", maxWidth: "800px", margin: "0 auto" }}
/> />
@ -47,6 +50,7 @@ In the chat interface, you can redefine which variable should be interpreted as
alt="Docusaurus themed image" alt="Docusaurus themed image"
sources={{ sources={{
light: useBaseUrl("img/chat_interface4.png"), light: useBaseUrl("img/chat_interface4.png"),
dark: useBaseUrl("img/chat_interface4.png"),
}} }}
style={{ width: "100%", maxWidth: "800px", margin: "0 auto" }} style={{ width: "100%", maxWidth: "800px", margin: "0 auto" }}
/> />

2
docs/docs/guidelines/chat-widget.mdx
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@ -38,6 +38,7 @@ import Admonition from "@theme/Admonition";
alt="Docusaurus themed image" alt="Docusaurus themed image"
sources={{ sources={{
light: useBaseUrl("img/widget-sidebar.png"), light: useBaseUrl("img/widget-sidebar.png"),
dark: useBaseUrl("img/widget-sidebar.png"),
}} }}
style={{ width: "50%", maxWidth: "600px", margin: "0 auto" }} style={{ width: "50%", maxWidth: "600px", margin: "0 auto" }}
/> />
@ -53,6 +54,7 @@ import Admonition from "@theme/Admonition";
alt="Docusaurus themed image" alt="Docusaurus themed image"
sources={{ sources={{
light: useBaseUrl("img/widget-code.png"), light: useBaseUrl("img/widget-code.png"),
dark: useBaseUrl("img/widget-code.png"),
}} }}
style={{ width: "100%", maxWidth: "800px", margin: "0 auto" }} style={{ width: "100%", maxWidth: "800px", margin: "0 auto" }}
/> />

1
docs/docs/guidelines/components.mdx
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@ -30,6 +30,7 @@ Components are the building blocks of the flows. They are made of inputs, output
alt="Docusaurus themed image" alt="Docusaurus themed image"
sources={{ sources={{
light: useBaseUrl("img/single-compenent.png"), light: useBaseUrl("img/single-compenent.png"),
dark: useBaseUrl("img/single-compenent.png"),
}} }}
style={{ width: "100%", maxWidth: "800px", margin: "0 auto" }} style={{ width: "100%", maxWidth: "800px", margin: "0 auto" }}
/> />

3
docs/docs/guidelines/custom-component.mdx
View file

@ -63,6 +63,7 @@ class DocumentProcessor(CustomComponent):
alt="Document Processor Component" alt="Document Processor Component"
sources={{ sources={{
light: "img/document_processor.png", light: "img/document_processor.png",
dark: "img/document_processor.png",
}} }}
style={{ style={{
margin: "0 auto", margin: "0 auto",
@ -330,6 +331,7 @@ All done! This is what our script and brand-new custom component look like:
alt="Document Processor Code" alt="Document Processor Code"
sources={{ sources={{
light: "img/document_processor_code.png", light: "img/document_processor_code.png",
dark: "img/document_processor_code.png",
}} }}
style={{ style={{
maxWidth: "100%", maxWidth: "100%",
@ -344,6 +346,7 @@ All done! This is what our script and brand-new custom component look like:
alt="Document Processor Component" alt="Document Processor Component"
sources={{ sources={{
light: "img/document_processor.png", light: "img/document_processor.png",
dark: "img/document_processor.png",
}} }}
style={{ style={{
width: "40%", width: "40%",

1
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View file

@ -18,6 +18,7 @@ import Admonition from "@theme/Admonition";
alt="Docusaurus themed image" alt="Docusaurus themed image"
sources={{ sources={{
light: useBaseUrl("img/features.png"), light: useBaseUrl("img/features.png"),
dark: useBaseUrl("img/features.png"),
}} }}
style={{ width: "100%", maxWidth: "800px", margin: "0 auto" }} style={{ width: "100%", maxWidth: "800px", margin: "0 auto" }}
/> />

4
docs/docs/guidelines/login.mdx
View file

@ -86,6 +86,7 @@ With _`LANGFLOW_AUTO_LOGIN`_ set to _`False`_, Langflow requires users to sign u
alt="Docusaurus themed image" alt="Docusaurus themed image"
sources={{ sources={{
light: useBaseUrl("img/sign-up.png"), light: useBaseUrl("img/sign-up.png"),
dark: useBaseUrl("img/sign-up.png"),
}} }}
style={{ width: "50%", maxWidth: "600px", margin: "0 auto" }} style={{ width: "50%", maxWidth: "600px", margin: "0 auto" }}
/> />
@ -102,6 +103,7 @@ Users can change their profile settings by clicking on the profile icon in the t
alt="Docusaurus themed image" alt="Docusaurus themed image"
sources={{ sources={{
light: useBaseUrl("img/my-account.png"), light: useBaseUrl("img/my-account.png"),
dark: useBaseUrl("img/my-account.png"),
}} }}
style={{ width: "50%", maxWidth: "600px", margin: "0 auto" }} style={{ width: "50%", maxWidth: "600px", margin: "0 auto" }}
/> />
@ -112,6 +114,7 @@ By clicking on **Profile Settings**, the user is taken to the profile settings p
alt="Docusaurus themed image" alt="Docusaurus themed image"
sources={{ sources={{
light: useBaseUrl("img/profile-settings.png"), light: useBaseUrl("img/profile-settings.png"),
dark: useBaseUrl("img/profile-settings.png"),
}} }}
style={{ maxWidth: "600px", margin: "0 auto" }} style={{ maxWidth: "600px", margin: "0 auto" }}
/> />
@ -122,6 +125,7 @@ By clicking on **Admin Page**, the superuser is taken to the admin page, where t
alt="Docusaurus themed image" alt="Docusaurus themed image"
sources={{ sources={{
light: useBaseUrl("img/admin-page.png"), light: useBaseUrl("img/admin-page.png"),
dark: useBaseUrl("img/admin-page.png"),
}} }}
style={{ maxWidth: "600px", margin: "0 auto" }} style={{ maxWidth: "600px", margin: "0 auto" }}

5
docs/docs/guidelines/prompt-customization.mdx
View file

@ -13,6 +13,7 @@ The prompt template allows users to create prompts and define variables that pro
alt="Docusaurus themed image" alt="Docusaurus themed image"
sources={{ sources={{
light: useBaseUrl("img/prompt_customization.png"), light: useBaseUrl("img/prompt_customization.png"),
dark: useBaseUrl("img/prompt_customization.png"),
}} }}
style={{ width: "100%", maxWidth: "800px", margin: "0 auto" }} style={{ width: "100%", maxWidth: "800px", margin: "0 auto" }}
/> />
@ -25,6 +26,7 @@ Variables can be used to define instructions, questions, context, inputs, or exa
alt="Docusaurus themed image" alt="Docusaurus themed image"
sources={{ sources={{
light: useBaseUrl("img/prompt_customization2.png"), light: useBaseUrl("img/prompt_customization2.png"),
dark: useBaseUrl("img/prompt_customization2.png"),
}} }}
style={{ width: "100%", maxWidth: "800px", margin: "0 auto" }} style={{ width: "100%", maxWidth: "800px", margin: "0 auto" }}
/> />
@ -37,6 +39,7 @@ Once inserted, these variables are immediately recognized as new fields in the p
alt="Docusaurus themed image" alt="Docusaurus themed image"
sources={{ sources={{
light: useBaseUrl("img/prompt_customization3.png"), light: useBaseUrl("img/prompt_customization3.png"),
dark: useBaseUrl("img/prompt_customization3.png"),
}} }}
style={{ width: "100%", maxWidth: "800px", margin: "0 auto" }} style={{ width: "100%", maxWidth: "800px", margin: "0 auto" }}
/> />
@ -49,6 +52,7 @@ You can also use documents or output parsers as prompt variables. By plugging th
alt="Docusaurus themed image" alt="Docusaurus themed image"
sources={{ sources={{
light: useBaseUrl("img/prompt_customization4.png"), light: useBaseUrl("img/prompt_customization4.png"),
dark: useBaseUrl("img/prompt_customization4.png"),
}} }}
style={{ width: "100%", maxWidth: "800px", margin: "0 auto" }} style={{ width: "100%", maxWidth: "800px", margin: "0 auto" }}
/> />
@ -63,6 +67,7 @@ If working with an interactive (chat-like) flow, remember to keep one of the inp
alt="Docusaurus themed image" alt="Docusaurus themed image"
sources={{ sources={{
light: useBaseUrl("img/prompt_customization5.png"), light: useBaseUrl("img/prompt_customization5.png"),
dark: useBaseUrl("img/prompt_customization5.png"),
}} }}
style={{ width: "100%", maxWidth: "800px", margin: "0 auto" }} style={{ width: "100%", maxWidth: "800px", margin: "0 auto" }}
/> />

1
docs/docs/index.mdx
View file

@ -12,6 +12,7 @@ import ZoomableImage from "/src/theme/ZoomableImage.js";
alt="Docusaurus themed image" alt="Docusaurus themed image"
sources={{ sources={{
light: "img/new_langflow_demo.gif", light: "img/new_langflow_demo.gif",
dark: "img/new_langflow_demo.gif",
}} }}
style={{ width: "100%" }} style={{ width: "100%" }}
/> />

1
docs/sidebars.js
View file

@ -82,6 +82,7 @@ module.exports = {
"examples/buffer-memory", "examples/buffer-memory",
"examples/midjourney-prompt-chain", "examples/midjourney-prompt-chain",
"examples/csv-loader", "examples/csv-loader",
"examples/searchapi-tool",
"examples/serp-api-tool", "examples/serp-api-tool",
"examples/multiple-vectorstores", "examples/multiple-vectorstores",
"examples/python-function", "examples/python-function",

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@ -418,17 +418,17 @@ files = [
[[package]] [[package]]
name = "boto3" name = "boto3"
version = "1.34.50" version = "1.34.51"
description = "The AWS SDK for Python" description = "The AWS SDK for Python"
optional = false optional = false
python-versions = ">= 3.8" python-versions = ">= 3.8"
files = [ files = [
{file = "boto3-1.34.50-py3-none-any.whl", hash = "sha256:8d709365231234bc4f0ca98fdf33a25eeebf78072853c6aa3d259f0f5cf09877"}, {file = "boto3-1.34.51-py3-none-any.whl", hash = "sha256:67732634dc7d0afda879bd9a5e2d0818a2c14a98bef766b95a3e253ea5104cb9"},
{file = "boto3-1.34.50.tar.gz", hash = "sha256:290952be7899560039cb0042e8a2354f61a7dead0d0ca8bea6ba901930df0468"}, {file = "boto3-1.34.51.tar.gz", hash = "sha256:2cd9463e738a184cbce8a6824027c22163c5f73e277a35ff5aa0fb0e845b4301"},
] ]
[package.dependencies] [package.dependencies]
botocore = ">=1.34.50,<1.35.0" botocore = ">=1.34.51,<1.35.0"
jmespath = ">=0.7.1,<2.0.0" jmespath = ">=0.7.1,<2.0.0"
s3transfer = ">=0.10.0,<0.11.0" s3transfer = ">=0.10.0,<0.11.0"
@ -437,13 +437,13 @@ crt = ["botocore[crt] (>=1.21.0,<2.0a0)"]
[[package]] [[package]]
name = "botocore" name = "botocore"
version = "1.34.50" version = "1.34.51"
description = "Low-level, data-driven core of boto 3." description = "Low-level, data-driven core of boto 3."
optional = false optional = false
python-versions = ">= 3.8" python-versions = ">= 3.8"
files = [ files = [
{file = "botocore-1.34.50-py3-none-any.whl", hash = "sha256:fda510559dbe796eefdb59561cc81be1b99afba3dee53fd23db9a3d587adc0ab"}, {file = "botocore-1.34.51-py3-none-any.whl", hash = "sha256:01d5156247f991b3466a8404e3d7460a9ecbd9b214f9992d6ba797d9ddc6f120"},
{file = "botocore-1.34.50.tar.gz", hash = "sha256:33ab82cb96c4bb684f0dbafb071808e4817d83debc88b223e7d988256370c6d7"}, {file = "botocore-1.34.51.tar.gz", hash = "sha256:5086217442e67dd9de36ec7e87a0c663f76b7790d5fb6a12de565af95e87e319"},
] ]
[package.dependencies] [package.dependencies]
@ -889,13 +889,13 @@ numpy = "*"
[[package]] [[package]]
name = "chromadb" name = "chromadb"
version = "0.4.23" version = "0.4.24"
description = "Chroma." description = "Chroma."
optional = false optional = false
python-versions = ">=3.8" python-versions = ">=3.8"
files = [ files = [
{file = "chromadb-0.4.23-py3-none-any.whl", hash = "sha256:3d3c2ffb4ff560721e3daf8c1a3729fd149c551525b6f75543eddb81a4f29e16"}, {file = "chromadb-0.4.24-py3-none-any.whl", hash = "sha256:3a08e237a4ad28b5d176685bd22429a03717fe09d35022fb230d516108da01da"},
{file = "chromadb-0.4.23.tar.gz", hash = "sha256:54d9a770640704c6cedc15317faab9fd45beb9833e7484c00037e7a8801a349f"}, {file = "chromadb-0.4.24.tar.gz", hash = "sha256:a5c80b4e4ad9b236ed2d4899a5b9e8002b489293f2881cb2cadab5b199ee1c72"},
] ]
[package.dependencies] [package.dependencies]
@ -2322,6 +2322,214 @@ files = [
google-auth = "*" google-auth = "*"
httplib2 = ">=0.19.0" httplib2 = ">=0.19.0"
[[package]]
name = "google-cloud-aiplatform"
version = "1.42.1"
description = "Vertex AI API client library"
optional = false
python-versions = ">=3.8"
files = [
{file = "google-cloud-aiplatform-1.42.1.tar.gz", hash = "sha256:679068e068e29059d673a6410483fea762286fa07739d684fb1b4626698e0805"},
{file = "google_cloud_aiplatform-1.42.1-py2.py3-none-any.whl", hash = "sha256:9f25ebd306807972cf05a578abc16695c4f72d4a2dd7e7b1624dbe247937ba24"},
]
[package.dependencies]
google-api-core = {version = ">=1.34.1,<2.0.dev0 || >=2.8.dev0,<3.0.0dev", extras = ["grpc"]}
google-auth = ">=2.14.1,<3.0.0dev"
google-cloud-bigquery = ">=1.15.0,<4.0.0dev"
google-cloud-resource-manager = ">=1.3.3,<3.0.0dev"
google-cloud-storage = ">=1.32.0,<3.0.0dev"
packaging = ">=14.3"
proto-plus = ">=1.22.0,<2.0.0dev"
protobuf = ">=3.19.5,<3.20.0 || >3.20.0,<3.20.1 || >3.20.1,<4.21.0 || >4.21.0,<4.21.1 || >4.21.1,<4.21.2 || >4.21.2,<4.21.3 || >4.21.3,<4.21.4 || >4.21.4,<4.21.5 || >4.21.5,<5.0.0dev"
shapely = "<3.0.0dev"
[package.extras]
autologging = ["mlflow (>=1.27.0,<=2.1.1)"]
cloud-profiler = ["tensorboard-plugin-profile (>=2.4.0,<3.0.0dev)", "tensorflow (>=2.4.0,<3.0.0dev)", "werkzeug (>=2.0.0,<2.1.0dev)"]
datasets = ["pyarrow (>=10.0.1)", "pyarrow (>=3.0.0,<8.0dev)"]
endpoint = ["requests (>=2.28.1)"]
full = ["cloudpickle (<3.0)", "docker (>=5.0.3)", "explainable-ai-sdk (>=1.0.0)", "fastapi (>=0.71.0,<0.103.1)", "google-cloud-bigquery", "google-cloud-bigquery-storage", "google-cloud-logging (<4.0)", "google-vizier (>=0.1.6)", "httpx (>=0.23.0,<0.25.0)", "lit-nlp (==0.4.0)", "mlflow (>=1.27.0,<=2.1.1)", "numpy (>=1.15.0)", "pandas (>=1.0.0)", "pyarrow (>=10.0.1)", "pyarrow (>=3.0.0,<8.0dev)", "pyarrow (>=6.0.1)", "pydantic (<2)", "pyyaml (==5.3.1)", "ray[default] (>=2.4,<2.5)", "ray[default] (>=2.5,<2.5.1)", "requests (>=2.28.1)", "starlette (>=0.17.1)", "tensorflow (>=2.3.0,<2.15.0)", "tensorflow (>=2.3.0,<3.0.0dev)", "urllib3 (>=1.21.1,<1.27)", "uvicorn[standard] (>=0.16.0)"]
lit = ["explainable-ai-sdk (>=1.0.0)", "lit-nlp (==0.4.0)", "pandas (>=1.0.0)", "tensorflow (>=2.3.0,<3.0.0dev)"]
metadata = ["numpy (>=1.15.0)", "pandas (>=1.0.0)"]
pipelines = ["pyyaml (==5.3.1)"]
prediction = ["docker (>=5.0.3)", "fastapi (>=0.71.0,<0.103.1)", "httpx (>=0.23.0,<0.25.0)", "starlette (>=0.17.1)", "uvicorn[standard] (>=0.16.0)"]
preview = ["cloudpickle (<3.0)", "google-cloud-logging (<4.0)"]
private-endpoints = ["requests (>=2.28.1)", "urllib3 (>=1.21.1,<1.27)"]
ray = ["google-cloud-bigquery", "google-cloud-bigquery-storage", "pandas (>=1.0.0)", "pyarrow (>=6.0.1)", "pydantic (<2)", "ray[default] (>=2.4,<2.5)", "ray[default] (>=2.5,<2.5.1)"]
tensorboard = ["tensorflow (>=2.3.0,<2.15.0)"]
testing = ["bigframes", "cloudpickle (<3.0)", "docker (>=5.0.3)", "explainable-ai-sdk (>=1.0.0)", "fastapi (>=0.71.0,<0.103.1)", "google-api-core (>=2.11,<3.0.0)", "google-cloud-bigquery", "google-cloud-bigquery-storage", "google-cloud-logging (<4.0)", "google-vizier (>=0.1.6)", "grpcio-testing", "httpx (>=0.23.0,<0.25.0)", "ipython", "kfp (>=2.6.0,<3.0.0)", "lit-nlp (==0.4.0)", "mlflow (>=1.27.0,<=2.1.1)", "numpy (>=1.15.0)", "pandas (>=1.0.0)", "pyarrow (>=10.0.1)", "pyarrow (>=3.0.0,<8.0dev)", "pyarrow (>=6.0.1)", "pydantic (<2)", "pyfakefs", "pytest-asyncio", "pytest-xdist", "pyyaml (==5.3.1)", "ray[default] (>=2.4,<2.5)", "ray[default] (>=2.5,<2.5.1)", "requests (>=2.28.1)", "requests-toolbelt (<1.0.0)", "scikit-learn", "starlette (>=0.17.1)", "tensorboard-plugin-profile (>=2.4.0,<3.0.0dev)", "tensorflow (>=2.3.0,<2.15.0)", "tensorflow (>=2.3.0,<3.0.0dev)", "tensorflow (>=2.3.0,<=2.12.0)", "tensorflow (>=2.4.0,<3.0.0dev)", "torch (>=2.0.0,<2.1.0)", "urllib3 (>=1.21.1,<1.27)", "uvicorn[standard] (>=0.16.0)", "werkzeug (>=2.0.0,<2.1.0dev)", "xgboost", "xgboost-ray"]
vizier = ["google-vizier (>=0.1.6)"]
xai = ["tensorflow (>=2.3.0,<3.0.0dev)"]
[[package]]
name = "google-cloud-bigquery"
version = "3.17.2"
description = "Google BigQuery API client library"
optional = false
python-versions = ">=3.7"
files = [
{file = "google-cloud-bigquery-3.17.2.tar.gz", hash = "sha256:6e1cf669a40e567ab3289c7b5f2056363da9fcb85d9a4736ee90240d4a7d84ea"},
{file = "google_cloud_bigquery-3.17.2-py2.py3-none-any.whl", hash = "sha256:cdadf5283dca55a1a350bacf8c8a7466169d3cf46c5a0a3abc5e9aa0b0a51dee"},
]
[package.dependencies]
google-api-core = ">=1.31.5,<2.0.dev0 || >2.3.0,<3.0.0dev"
google-cloud-core = ">=1.6.0,<3.0.0dev"
google-resumable-media = ">=0.6.0,<3.0dev"
packaging = ">=20.0.0"
python-dateutil = ">=2.7.2,<3.0dev"
requests = ">=2.21.0,<3.0.0dev"
[package.extras]
all = ["Shapely (>=1.8.4,<3.0.0dev)", "db-dtypes (>=0.3.0,<2.0.0dev)", "geopandas (>=0.9.0,<1.0dev)", "google-cloud-bigquery-storage (>=2.6.0,<3.0.0dev)", "grpcio (>=1.47.0,<2.0dev)", "grpcio (>=1.49.1,<2.0dev)", "importlib-metadata (>=1.0.0)", "ipykernel (>=6.0.0)", "ipython (>=7.23.1,!=8.1.0)", "ipywidgets (>=7.7.0)", "opentelemetry-api (>=1.1.0)", "opentelemetry-instrumentation (>=0.20b0)", "opentelemetry-sdk (>=1.1.0)", "pandas (>=1.1.0)", "proto-plus (>=1.15.0,<2.0.0dev)", "protobuf (>=3.19.5,!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev)", "pyarrow (>=3.0.0)", "tqdm (>=4.7.4,<5.0.0dev)"]
bigquery-v2 = ["proto-plus (>=1.15.0,<2.0.0dev)", "protobuf (>=3.19.5,!=3.20.0,!=3.20.1,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5,<5.0.0dev)"]
bqstorage = ["google-cloud-bigquery-storage (>=2.6.0,<3.0.0dev)", "grpcio (>=1.47.0,<2.0dev)", "grpcio (>=1.49.1,<2.0dev)", "pyarrow (>=3.0.0)"]
geopandas = ["Shapely (>=1.8.4,<3.0.0dev)", "geopandas (>=0.9.0,<1.0dev)"]
ipython = ["ipykernel (>=6.0.0)", "ipython (>=7.23.1,!=8.1.0)"]
ipywidgets = ["ipykernel (>=6.0.0)", "ipywidgets (>=7.7.0)"]
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{file = "lxml-4.9.4-pp39-pypy39_pp73-manylinux_2_12_i686.manylinux2010_i686.manylinux_2_24_i686.whl", hash = "sha256:cc02c06e9e320869d7d1bd323df6dd4281e78ac2e7f8526835d3d48c69060683"},
{file = "lxml-4.9.4-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_24_x86_64.whl", hash = "sha256:857d6565f9aa3464764c2cb6a2e3c2e75e1970e877c188f4aeae45954a314e0c"},
{file = "lxml-4.9.4-pp39-pypy39_pp73-manylinux_2_28_x86_64.whl", hash = "sha256:c42ae7e010d7d6bc51875d768110c10e8a59494855c3d4c348b068f5fb81fdcd"},
{file = "lxml-4.9.4-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:f10250bb190fb0742e3e1958dd5c100524c2cc5096c67c8da51233f7448dc137"},
{file = "lxml-4.9.4.tar.gz", hash = "sha256:b1541e50b78e15fa06a2670157a1962ef06591d4c998b998047fff5e3236880e"},
] ]
[package.extras] [package.extras]
@ -5488,13 +5711,13 @@ tests = ["pytest (>=5.4.1)", "pytest-cov (>=2.8.1)", "pytest-mypy (>=0.8.0)", "p
[[package]] [[package]]
name = "postgrest" name = "postgrest"
version = "0.15.0" version = "0.16.0"
description = "PostgREST client for Python. This library provides an ORM interface to PostgREST." description = "PostgREST client for Python. This library provides an ORM interface to PostgREST."
optional = false optional = false
python-versions = ">=3.8,<4.0" python-versions = ">=3.8,<4.0"
files = [ files = [
{file = "postgrest-0.15.0-py3-none-any.whl", hash = "sha256:f405b3c4adfa3fe61732fabb1d5d7c55111159d25fc595663ea75ff992cafd5b"}, {file = "postgrest-0.16.0-py3-none-any.whl", hash = "sha256:6ea070b16ea336ad968c6ce07ddd82c2c2775607c7daf834e80ec0fbb9f42357"},
{file = "postgrest-0.15.0.tar.gz", hash = "sha256:2e6b4b2b721be2c4e2dbc8de49f8b6a8ed74663b3b0f6b04976c04e222b283cb"}, {file = "postgrest-0.16.0.tar.gz", hash = "sha256:9256b07f312f59a7c9c291cd6c6f8dea2d29d83a8839d16881289c3848c772e3"},
] ]
[package.dependencies] [package.dependencies]
@ -6042,13 +6265,13 @@ files = [
[[package]] [[package]]
name = "pydantic" name = "pydantic"
version = "2.6.2" version = "2.6.3"
description = "Data validation using Python type hints" description = "Data validation using Python type hints"
optional = false optional = false
python-versions = ">=3.8" python-versions = ">=3.8"
files = [ files = [
{file = "pydantic-2.6.2-py3-none-any.whl", hash = "sha256:37a5432e54b12fecaa1049c5195f3d860a10e01bdfd24f1840ef14bd0d3aeab3"}, {file = "pydantic-2.6.3-py3-none-any.whl", hash = "sha256:72c6034df47f46ccdf81869fddb81aade68056003900a8724a4f160700016a2a"},
{file = "pydantic-2.6.2.tar.gz", hash = "sha256:a09be1c3d28f3abe37f8a78af58284b236a92ce520105ddc91a6d29ea1176ba7"}, {file = "pydantic-2.6.3.tar.gz", hash = "sha256:e07805c4c7f5c6826e33a1d4c9d47950d7eaf34868e2690f8594d2e30241f11f"},
] ]
[package.dependencies] [package.dependencies]
@ -7076,17 +7299,17 @@ files = [
[[package]] [[package]]
name = "redis" name = "redis"
version = "5.0.1" version = "5.0.2"
description = "Python client for Redis database and key-value store" description = "Python client for Redis database and key-value store"
optional = true optional = true
python-versions = ">=3.7" python-versions = ">=3.7"
files = [ files = [
{file = "redis-5.0.1-py3-none-any.whl", hash = "sha256:ed4802971884ae19d640775ba3b03aa2e7bd5e8fb8dfaed2decce4d0fc48391f"}, {file = "redis-5.0.2-py3-none-any.whl", hash = "sha256:4caa8e1fcb6f3c0ef28dba99535101d80934b7d4cd541bbb47f4a3826ee472d1"},
{file = "redis-5.0.1.tar.gz", hash = "sha256:0dab495cd5753069d3bc650a0dde8a8f9edde16fc5691b689a566eda58100d0f"}, {file = "redis-5.0.2.tar.gz", hash = "sha256:3f82cc80d350e93042c8e6e7a5d0596e4dd68715babffba79492733e1f367037"},
] ]
[package.dependencies] [package.dependencies]
async-timeout = {version = ">=4.0.2", markers = "python_full_version <= \"3.11.2\""} async-timeout = ">=4.0.3"
[package.extras] [package.extras]
hiredis = ["hiredis (>=1.0.0)"] hiredis = ["hiredis (>=1.0.0)"]
@ -7235,13 +7458,13 @@ rsa = ["oauthlib[signedtoken] (>=3.0.0)"]
[[package]] [[package]]
name = "rich" name = "rich"
version = "13.7.0" version = "13.7.1"
description = "Render rich text, tables, progress bars, syntax highlighting, markdown and more to the terminal" description = "Render rich text, tables, progress bars, syntax highlighting, markdown and more to the terminal"
optional = false optional = false
python-versions = ">=3.7.0" python-versions = ">=3.7.0"
files = [ files = [
{file = "rich-13.7.0-py3-none-any.whl", hash = "sha256:6da14c108c4866ee9520bbffa71f6fe3962e193b7da68720583850cd4548e235"}, {file = "rich-13.7.1-py3-none-any.whl", hash = "sha256:4edbae314f59eb482f54e9e30bf00d33350aaa94f4bfcd4e9e3110e64d0d7222"},
{file = "rich-13.7.0.tar.gz", hash = "sha256:5cb5123b5cf9ee70584244246816e9114227e0b98ad9176eede6ad54bf5403fa"}, {file = "rich-13.7.1.tar.gz", hash = "sha256:9be308cb1fe2f1f57d67ce99e95af38a1e2bc71ad9813b0e247cf7ffbcc3a432"},
] ]
[package.dependencies] [package.dependencies]
@ -7813,19 +8036,19 @@ test = ["pylint", "pytest", "pytest-black", "pytest-cov", "pytest-pylint"]
[[package]] [[package]]
name = "supabase" name = "supabase"
version = "2.3.7" version = "2.4.0"
description = "Supabase client for Python." description = "Supabase client for Python."
optional = false optional = false
python-versions = ">=3.8,<4.0" python-versions = ">=3.8,<4.0"
files = [ files = [
{file = "supabase-2.3.7-py3-none-any.whl", hash = "sha256:a4616aa9149231d20f6e61884b90b7e5bdbde0ef0c2f0c12ced14536f39055bc"}, {file = "supabase-2.4.0-py3-none-any.whl", hash = "sha256:f2f02b0e7903247ef9e2b3cb5dde067924a19a068f1c8befbdf40fb091bf8dd3"},
{file = "supabase-2.3.7.tar.gz", hash = "sha256:d70dc986b7cd2a97c1916da1fa0ea6abae25690521cc9dd78016ab0e0c07116e"}, {file = "supabase-2.4.0.tar.gz", hash = "sha256:d51556d3884f2e6f4588c33f1fcac954d4304238253bc35e9a87fdd22c43bafb"},
] ]
[package.dependencies] [package.dependencies]
gotrue = ">=1.3,<3.0" gotrue = ">=1.3,<3.0"
httpx = ">=0.24,<0.26" httpx = ">=0.24,<0.26"
postgrest = ">=0.10.8,<0.16.0" postgrest = ">=0.10.8,<0.17.0"
realtime = ">=1.0.0,<2.0.0" realtime = ">=1.0.0,<2.0.0"
storage3 = ">=0.5.3,<0.8.0" storage3 = ">=0.5.3,<0.8.0"
supafunc = ">=0.3.1,<0.4.0" supafunc = ">=0.3.1,<0.4.0"
@ -8383,13 +8606,13 @@ files = [
[[package]] [[package]]
name = "types-pyopenssl" name = "types-pyopenssl"
version = "24.0.0.20240130" version = "24.0.0.20240228"
description = "Typing stubs for pyOpenSSL" description = "Typing stubs for pyOpenSSL"
optional = false optional = false
python-versions = ">=3.8" python-versions = ">=3.8"
files = [ files = [
{file = "types-pyOpenSSL-24.0.0.20240130.tar.gz", hash = "sha256:c812e5c1c35249f75ef5935708b2a997d62abf9745be222e5f94b9595472ab25"}, {file = "types-pyOpenSSL-24.0.0.20240228.tar.gz", hash = "sha256:cd990717d8aa3743ef0e73e0f462e64b54d90c304249232d48fece4f0f7c3c6a"},
{file = "types_pyOpenSSL-24.0.0.20240130-py3-none-any.whl", hash = "sha256:24a255458b5b8a7fca8139cf56f2a8ad5a4f1a5f711b73a5bb9cb50dc688fab5"}, {file = "types_pyOpenSSL-24.0.0.20240228-py3-none-any.whl", hash = "sha256:a472cf877a873549175e81972f153f44e975302a3cf17381eb5f3d41ccfb75a4"},
] ]
[package.dependencies] [package.dependencies]
@ -8552,13 +8775,13 @@ devenv = ["check-manifest", "pytest (>=4.3)", "pytest-cov", "pytest-mock (>=3.3)
[[package]] [[package]]
name = "unstructured" name = "unstructured"
version = "0.12.4" version = "0.12.5"
description = "A library that prepares raw documents for downstream ML tasks." description = "A library that prepares raw documents for downstream ML tasks."
optional = false optional = false
python-versions = ">=3.9.0,<3.12" python-versions = ">=3.9.0,<3.12"
files = [ files = [
{file = "unstructured-0.12.4-py3-none-any.whl", hash = "sha256:f1aa046297a3afba3aa16895e513aca6a93802ef73b7a18080656435c4deb217"}, {file = "unstructured-0.12.5-py3-none-any.whl", hash = "sha256:cce7de36964f556810adb8728d0639d8e9b3ef4567443877609f3c66a54e24d1"},
{file = "unstructured-0.12.4.tar.gz", hash = "sha256:019cf52e9e2bfa286e61ffa0d7d336e1645280f9a0f165e697583143fcfe708a"}, {file = "unstructured-0.12.5.tar.gz", hash = "sha256:5ea6c881049e7d98a88c07192bcb6ab750de41b4e3b594972ed1034bda99dbae"},
] ]
[package.dependencies] [package.dependencies]
@ -8585,6 +8808,7 @@ wrapt = "*"
[package.extras] [package.extras]
airtable = ["pyairtable"] airtable = ["pyairtable"]
all-docs = ["markdown", "msg-parser", "networkx", "onnx", "openpyxl", "pandas", "pdf2image", "pdfminer.six", "pikepdf", "pillow-heif", "pypandoc", "pypdf", "python-docx", "python-pptx (<=0.6.23)", "unstructured-inference (==0.7.23)", "unstructured.pytesseract (>=0.3.12)", "xlrd"] all-docs = ["markdown", "msg-parser", "networkx", "onnx", "openpyxl", "pandas", "pdf2image", "pdfminer.six", "pikepdf", "pillow-heif", "pypandoc", "pypdf", "python-docx", "python-pptx (<=0.6.23)", "unstructured-inference (==0.7.23)", "unstructured.pytesseract (>=0.3.12)", "xlrd"]
astra = ["astrapy"]
azure = ["adlfs", "fsspec"] azure = ["adlfs", "fsspec"]
azure-cognitive-search = ["azure-search-documents"] azure-cognitive-search = ["azure-search-documents"]
bedrock = ["boto3", "langchain-community"] bedrock = ["boto3", "langchain-community"]
@ -9385,4 +9609,4 @@ local = ["ctransformers", "llama-cpp-python", "sentence-transformers"]
[metadata] [metadata]
lock-version = "2.0" lock-version = "2.0"
python-versions = ">=3.9,<3.12" python-versions = ">=3.9,<3.12"
content-hash = "e34d70b4ca2e9bdab5478d4b0b31dc39379c4506d1cc6962e378090570ce757c" content-hash = "25c6686705b9e1a5a01b48c85bfc8e04592f1cf91d69ff47d421d9d7a895e1df"

2
pyproject.toml
View file

@ -61,7 +61,7 @@ python-multipart = "^0.0.7"
sqlmodel = "^0.0.14" sqlmodel = "^0.0.14"
faiss-cpu = "^1.7.4" faiss-cpu = "^1.7.4"
anthropic = "^0.15.0" anthropic = "^0.15.0"
orjson = "^3.9.3" orjson = "3.9.15"
multiprocess = "^0.70.14" multiprocess = "^0.70.14"
cachetools = "^5.3.1" cachetools = "^5.3.1"
types-cachetools = "^5.3.0.5" types-cachetools = "^5.3.0.5"

6
src/backend/langflow/__main__.py
View file

@ -109,7 +109,11 @@ def version_callback(value: bool):
@app.callback() @app.callback()
def main_entry_point( def main_entry_point(
version: bool = typer.Option( version: bool = typer.Option(
None, "--version", callback=version_callback, is_eager=True, help="Show the version and exit." None,
"--version",
callback=version_callback,
is_eager=True,
help="Show the version and exit.",
), ),
): ):
""" """

4
src/backend/langflow/alembic.ini
View file

@ -63,7 +63,7 @@ version_path_separator = os # Use os.pathsep. Default configuration used for ne
# This is the path to the db in the root of the project. # This is the path to the db in the root of the project.
# When the user runs the Langflow the database url will # When the user runs the Langflow the database url will
# be set dinamically. # be set dinamically.
sqlalchemy.url = sqlite:///../../../langflow.db sqlalchemy.url = sqlite:///./langflow.db
[post_write_hooks] [post_write_hooks]
@ -98,7 +98,7 @@ handlers =
qualname = sqlalchemy.engine qualname = sqlalchemy.engine
[logger_alembic] [logger_alembic]
level = INFO level = DEBUG
handlers = handlers =
qualname = alembic qualname = alembic

25
src/backend/langflow/alembic/env.py
View file

@ -1,10 +1,11 @@
import os
from logging.config import fileConfig from logging.config import fileConfig
from sqlalchemy import engine_from_config
from sqlalchemy import pool
from alembic import context from alembic import context
from loguru import logger
from sqlalchemy import engine_from_config, pool
from langflow.services.database.models import * # noqa
from langflow.services.database.service import SQLModel from langflow.services.database.service import SQLModel
# this is the Alembic Config object, which provides # this is the Alembic Config object, which provides
@ -40,7 +41,8 @@ def run_migrations_offline() -> None:
script output. script output.
""" """
url = config.get_main_option("sqlalchemy.url") url = os.getenv("LANGFLOW_DATABASE_URL")
url = url or config.get_main_option("sqlalchemy.url")
context.configure( context.configure(
url=url, url=url,
target_metadata=target_metadata, target_metadata=target_metadata,
@ -60,12 +62,17 @@ def run_migrations_online() -> None:
and associate a connection with the context. and associate a connection with the context.
""" """
connectable = engine_from_config( from langflow.services.deps import get_db_service
config.get_section(config.config_ini_section, {}),
prefix="sqlalchemy.",
poolclass=pool.NullPool,
)
try:
connectable = get_db_service().engine
except Exception as e:
logger.error(f"Error getting database engine: {e}")
connectable = engine_from_config(
config.get_section(config.config_ini_section, {}),
prefix="sqlalchemy.",
poolclass=pool.NullPool,
)
with connectable.connect() as connection: with connectable.connect() as connection:
context.configure( context.configure(
connection=connection, target_metadata=target_metadata, render_as_batch=True connection=connection, target_metadata=target_metadata, render_as_batch=True

5
src/backend/langflow/alembic/script.py.mako
View file

@ -10,6 +10,7 @@ from typing import Sequence, Union
from alembic import op from alembic import op
import sqlalchemy as sa import sqlalchemy as sa
import sqlmodel import sqlmodel
from sqlalchemy.engine.reflection import Inspector
${imports if imports else ""} ${imports if imports else ""}
# revision identifiers, used by Alembic. # revision identifiers, used by Alembic.
@ -20,8 +21,12 @@ depends_on: Union[str, Sequence[str], None] = ${repr(depends_on)}
def upgrade() -> None: def upgrade() -> None:
conn = op.get_bind()
inspector = Inspector.from_engine(conn) # type: ignore
${upgrades if upgrades else "pass"} ${upgrades if upgrades else "pass"}
def downgrade() -> None: def downgrade() -> None:
conn = op.get_bind()
inspector = Inspector.from_engine(conn) # type: ignore
${downgrades if downgrades else "pass"} ${downgrades if downgrades else "pass"}

56
src/backend/langflow/alembic/versions/006b3990db50_add_unique_constraints.py
View file

@ -5,28 +5,43 @@ Revises: 1ef9c4f3765d
Create Date: 2023-12-13 18:55:52.587360 Create Date: 2023-12-13 18:55:52.587360
""" """
from typing import Sequence, Union from typing import Sequence, Union
from alembic import op from alembic import op
from sqlalchemy.engine.reflection import Inspector
# revision identifiers, used by Alembic. # revision identifiers, used by Alembic.
revision: str = '006b3990db50' revision: str = "006b3990db50"
down_revision: Union[str, None] = '1ef9c4f3765d' down_revision: Union[str, None] = "1ef9c4f3765d"
branch_labels: Union[str, Sequence[str], None] = None branch_labels: Union[str, Sequence[str], None] = None
depends_on: Union[str, Sequence[str], None] = None depends_on: Union[str, Sequence[str], None] = None
def upgrade() -> None: def upgrade() -> None:
# ### commands auto generated by Alembic - please adjust! ### # ### commands auto generated by Alembic - please adjust! ###
conn = op.get_bind()
inspector = Inspector.from_engine(conn) # type: ignore
api_key_constraints = inspector.get_unique_constraints("apikey")
flow_constraints = inspector.get_unique_constraints("flow")
user_constraints = inspector.get_unique_constraints("user")
try: try:
with op.batch_alter_table('apikey', schema=None) as batch_op: if not any(
batch_op.create_unique_constraint('uq_apikey_id', ['id']) constraint["name"] == "uq_apikey_id" for constraint in api_key_constraints
):
with op.batch_alter_table("apikey", schema=None) as batch_op:
with op.batch_alter_table('flow', schema=None) as batch_op: batch_op.create_unique_constraint("uq_apikey_id", ["id"])
batch_op.create_unique_constraint('uq_flow_id', ['id']) if not any(
constraint["name"] == "uq_flow_id" for constraint in flow_constraints
with op.batch_alter_table('user', schema=None) as batch_op: ):
batch_op.create_unique_constraint('uq_user_id', ['id']) with op.batch_alter_table("flow", schema=None) as batch_op:
batch_op.create_unique_constraint("uq_flow_id", ["id"])
if not any(
constraint["name"] == "uq_user_id" for constraint in user_constraints
):
with op.batch_alter_table("user", schema=None) as batch_op:
batch_op.create_unique_constraint("uq_user_id", ["id"])
except Exception as e: except Exception as e:
print(e) print(e)
pass pass
@ -36,15 +51,24 @@ def upgrade() -> None:
def downgrade() -> None: def downgrade() -> None:
# ### commands auto generated by Alembic - please adjust! ### # ### commands auto generated by Alembic - please adjust! ###
conn = op.get_bind()
inspector = Inspector.from_engine(conn) # type: ignore
api_key_constraints = inspector.get_unique_constraints("apikey")
flow_constraints = inspector.get_unique_constraints("flow")
user_constraints = inspector.get_unique_constraints("user")
try: try:
with op.batch_alter_table('user', schema=None) as batch_op: if any(
batch_op.drop_constraint('uq_user_id', type_='unique') constraint["name"] == "uq_apikey_id" for constraint in api_key_constraints
):
with op.batch_alter_table("user", schema=None) as batch_op:
batch_op.drop_constraint("uq_user_id", type_="unique")
if any(constraint["name"] == "uq_flow_id" for constraint in flow_constraints):
with op.batch_alter_table("flow", schema=None) as batch_op:
batch_op.drop_constraint("uq_flow_id", type_="unique")
if any(constraint["name"] == "uq_user_id" for constraint in user_constraints):
with op.batch_alter_table('flow', schema=None) as batch_op: with op.batch_alter_table("apikey", schema=None) as batch_op:
batch_op.drop_constraint('uq_flow_id', type_='unique') batch_op.drop_constraint("uq_apikey_id", type_="unique")
with op.batch_alter_table('apikey', schema=None) as batch_op:
batch_op.drop_constraint('uq_apikey_id', type_='unique')
except Exception as e: except Exception as e:
print(e) print(e)
pass pass

56
src/backend/langflow/alembic/versions/0b8757876a7c_.py
View file

@ -5,67 +5,25 @@ Revises: 006b3990db50
Create Date: 2024-01-17 10:32:56.686287 Create Date: 2024-01-17 10:32:56.686287
""" """
from typing import Sequence, Union from typing import Sequence, Union
from alembic import op
# revision identifiers, used by Alembic. # revision identifiers, used by Alembic.
revision: str = '0b8757876a7c' revision: str = "0b8757876a7c"
down_revision: Union[str, None] = '006b3990db50' down_revision: Union[str, None] = "006b3990db50"
branch_labels: Union[str, Sequence[str], None] = None branch_labels: Union[str, Sequence[str], None] = None
depends_on: Union[str, Sequence[str], None] = None depends_on: Union[str, Sequence[str], None] = None
def upgrade() -> None: def upgrade() -> None:
# ### commands auto generated by Alembic - please adjust! ### # ### commands auto generated by Alembic - please adjust! ###
try: pass
with op.batch_alter_table('apikey', schema=None) as batch_op:
batch_op.create_index(batch_op.f('ix_apikey_api_key'), ['api_key'], unique=True)
batch_op.create_index(batch_op.f('ix_apikey_name'), ['name'], unique=False)
batch_op.create_index(batch_op.f('ix_apikey_user_id'), ['user_id'], unique=False)
except Exception as e:
print(e)
pass
try:
with op.batch_alter_table('flow', schema=None) as batch_op:
batch_op.create_index(batch_op.f('ix_flow_description'), ['description'], unique=False)
batch_op.create_index(batch_op.f('ix_flow_name'), ['name'], unique=False)
batch_op.create_index(batch_op.f('ix_flow_user_id'), ['user_id'], unique=False)
except Exception as e:
print(e)
pass
try:
with op.batch_alter_table('user', schema=None) as batch_op:
batch_op.create_index(batch_op.f('ix_user_username'), ['username'], unique=True)
except Exception as e:
print(e)
pass
# ### end Alembic commands ### # ### end Alembic commands ###
def downgrade() -> None: def downgrade() -> None:
# ### commands auto generated by Alembic - please adjust! ### # ### commands auto generated by Alembic - please adjust! ###
try:
with op.batch_alter_table('user', schema=None) as batch_op: pass
batch_op.drop_index(batch_op.f('ix_user_username')) # ### end Alembic commands ###
except Exception as e:
print(e)
pass
try:
with op.batch_alter_table('flow', schema=None) as batch_op:
batch_op.drop_index(batch_op.f('ix_flow_user_id'))
batch_op.drop_index(batch_op.f('ix_flow_name'))
batch_op.drop_index(batch_op.f('ix_flow_description'))
except Exception as e:
print(e)
pass
try:
with op.batch_alter_table('apikey', schema=None) as batch_op:
batch_op.drop_index(batch_op.f('ix_apikey_user_id'))
batch_op.drop_index(batch_op.f('ix_apikey_name'))
batch_op.drop_index(batch_op.f('ix_apikey_api_key'))
except Exception as e:
print(e)
pass
# ### end Alembic commands ###

19
src/backend/langflow/alembic/versions/1ef9c4f3765d_.py
View file

@ -6,6 +6,7 @@ Revises: fd531f8868b1
Create Date: 2023-12-04 15:00:27.968998 Create Date: 2023-12-04 15:00:27.968998
""" """
from typing import Sequence, Union from typing import Sequence, Union
import sqlalchemy as sa import sqlalchemy as sa
@ -13,8 +14,8 @@ import sqlmodel
from alembic import op from alembic import op
# revision identifiers, used by Alembic. # revision identifiers, used by Alembic.
revision: str = '1ef9c4f3765d' revision: str = "1ef9c4f3765d"
down_revision: Union[str, None] = 'fd531f8868b1' down_revision: Union[str, None] = "fd531f8868b1"
branch_labels: Union[str, Sequence[str], None] = None branch_labels: Union[str, Sequence[str], None] = None
depends_on: Union[str, Sequence[str], None] = None depends_on: Union[str, Sequence[str], None] = None
@ -22,10 +23,10 @@ depends_on: Union[str, Sequence[str], None] = None
def upgrade() -> None: def upgrade() -> None:
# ### commands auto generated by Alembic - please adjust! ### # ### commands auto generated by Alembic - please adjust! ###
try: try:
with op.batch_alter_table('apikey', schema=None) as batch_op: with op.batch_alter_table("apikey", schema=None) as batch_op:
batch_op.alter_column('name', batch_op.alter_column(
existing_type=sqlmodel.sql.sqltypes.AutoString(), "name", existing_type=sqlmodel.sql.sqltypes.AutoString(), nullable=True
nullable=True) )
except Exception as e: except Exception as e:
pass pass
# ### end Alembic commands ### # ### end Alembic commands ###
@ -34,10 +35,8 @@ def upgrade() -> None:
def downgrade() -> None: def downgrade() -> None:
# ### commands auto generated by Alembic - please adjust! ### # ### commands auto generated by Alembic - please adjust! ###
try: try:
with op.batch_alter_table('apikey', schema=None) as batch_op: with op.batch_alter_table("apikey", schema=None) as batch_op:
batch_op.alter_column('name', batch_op.alter_column("name", existing_type=sa.VARCHAR(), nullable=False)
existing_type=sa.VARCHAR(),
nullable=False)
except Exception as e: except Exception as e:
pass pass
# ### end Alembic commands ### # ### end Alembic commands ###

25
src/backend/langflow/alembic/versions/260dbcc8b680_adds_tables.py
View file

@ -5,6 +5,7 @@ Revises:
Create Date: 2023-08-27 19:49:02.681355 Create Date: 2023-08-27 19:49:02.681355
""" """
from typing import Sequence, Union from typing import Sequence, Union
import sqlalchemy as sa import sqlalchemy as sa
@ -33,7 +34,9 @@ def upgrade() -> None:
if "ix_flowstyle_flow_id" in [ if "ix_flowstyle_flow_id" in [
index["name"] for index in inspector.get_indexes("flowstyle") index["name"] for index in inspector.get_indexes("flowstyle")
]: ]:
op.drop_index("ix_flowstyle_flow_id", table_name="flowstyle") op.drop_index(
"ix_flowstyle_flow_id", table_name="flowstyle", if_exists=True
)
existing_indices_flow = [] existing_indices_flow = []
existing_fks_flow = [] existing_fks_flow = []
@ -80,8 +83,7 @@ def upgrade() -> None:
sa.Column("api_key", sqlmodel.sql.sqltypes.AutoString(), nullable=False), sa.Column("api_key", sqlmodel.sql.sqltypes.AutoString(), nullable=False),
sa.Column("user_id", sqlmodel.sql.sqltypes.GUID(), nullable=False), sa.Column("user_id", sqlmodel.sql.sqltypes.GUID(), nullable=False),
sa.ForeignKeyConstraint( sa.ForeignKeyConstraint(
["user_id"], ["user_id"], ["user.id"], name="fk_apikey_user_id_user"
["user.id"],
), ),
sa.PrimaryKeyConstraint("id", name="pk_apikey"), sa.PrimaryKeyConstraint("id", name="pk_apikey"),
sa.UniqueConstraint("id", name="uq_apikey_id"), sa.UniqueConstraint("id", name="uq_apikey_id"),
@ -103,8 +105,7 @@ def upgrade() -> None:
sa.Column("id", sqlmodel.sql.sqltypes.GUID(), nullable=False), sa.Column("id", sqlmodel.sql.sqltypes.GUID(), nullable=False),
sa.Column("user_id", sqlmodel.sql.sqltypes.GUID(), nullable=False), sa.Column("user_id", sqlmodel.sql.sqltypes.GUID(), nullable=False),
sa.ForeignKeyConstraint( sa.ForeignKeyConstraint(
["user_id"], ["user_id"], ["user.id"], name="fk_flow_user_id_user"
["user.id"],
), ),
sa.PrimaryKeyConstraint("id", name="pk_flow"), sa.PrimaryKeyConstraint("id", name="pk_flow"),
sa.UniqueConstraint("id", name="uq_flow_id"), sa.UniqueConstraint("id", name="uq_flow_id"),
@ -151,21 +152,21 @@ def downgrade() -> None:
existing_tables = inspector.get_table_names() existing_tables = inspector.get_table_names()
if "flow" in existing_tables: if "flow" in existing_tables:
with op.batch_alter_table("flow", schema=None) as batch_op: with op.batch_alter_table("flow", schema=None) as batch_op:
batch_op.drop_index(batch_op.f("ix_flow_user_id")) batch_op.drop_index(batch_op.f("ix_flow_user_id"), if_exists=True)
batch_op.drop_index(batch_op.f("ix_flow_name")) batch_op.drop_index(batch_op.f("ix_flow_name"), if_exists=True)
batch_op.drop_index(batch_op.f("ix_flow_description")) batch_op.drop_index(batch_op.f("ix_flow_description"), if_exists=True)
op.drop_table("flow") op.drop_table("flow")
if "apikey" in existing_tables: if "apikey" in existing_tables:
with op.batch_alter_table("apikey", schema=None) as batch_op: with op.batch_alter_table("apikey", schema=None) as batch_op:
batch_op.drop_index(batch_op.f("ix_apikey_user_id")) batch_op.drop_index(batch_op.f("ix_apikey_user_id"), if_exists=True)
batch_op.drop_index(batch_op.f("ix_apikey_name")) batch_op.drop_index(batch_op.f("ix_apikey_name"), if_exists=True)
batch_op.drop_index(batch_op.f("ix_apikey_api_key")) batch_op.drop_index(batch_op.f("ix_apikey_api_key"), if_exists=True)
op.drop_table("apikey") op.drop_table("apikey")
if "user" in existing_tables: if "user" in existing_tables:
with op.batch_alter_table("user", schema=None) as batch_op: with op.batch_alter_table("user", schema=None) as batch_op:
batch_op.drop_index(batch_op.f("ix_user_username")) batch_op.drop_index(batch_op.f("ix_user_username"), if_exists=True)
op.drop_table("user") op.drop_table("user")

36
src/backend/langflow/alembic/versions/2ac71eb9c3ae_adds_credential_table.py
View file

@ -5,34 +5,44 @@ Revises: 7d2162acc8b2
Create Date: 2023-11-24 10:45:38.465302 Create Date: 2023-11-24 10:45:38.465302
""" """
from typing import Sequence, Union from typing import Sequence, Union
import sqlalchemy as sa import sqlalchemy as sa
import sqlmodel import sqlmodel
from alembic import op from alembic import op
from sqlalchemy.engine.reflection import Inspector
# revision identifiers, used by Alembic. # revision identifiers, used by Alembic.
revision: str = '2ac71eb9c3ae' revision: str = "2ac71eb9c3ae"
down_revision: Union[str, None] = '7d2162acc8b2' down_revision: Union[str, None] = "7d2162acc8b2"
branch_labels: Union[str, Sequence[str], None] = None branch_labels: Union[str, Sequence[str], None] = None
depends_on: Union[str, Sequence[str], None] = None depends_on: Union[str, Sequence[str], None] = None
def upgrade() -> None: def upgrade() -> None:
# ### commands auto generated by Alembic - please adjust! ### # ### commands auto generated by Alembic - please adjust! ###
conn = op.get_bind()
inspector = Inspector.from_engine(conn) # type: ignore
tables = inspector.get_table_names()
try: try:
op.create_table('credential', if "credential" not in tables:
sa.Column('name', sqlmodel.sql.sqltypes.AutoString(), nullable=True), op.create_table(
sa.Column('value', sqlmodel.sql.sqltypes.AutoString(), nullable=True), "credential",
sa.Column('provider', sqlmodel.sql.sqltypes.AutoString(), nullable=True), sa.Column("name", sqlmodel.sql.sqltypes.AutoString(), nullable=True),
sa.Column('user_id', sqlmodel.sql.sqltypes.GUID(), nullable=False), sa.Column("value", sqlmodel.sql.sqltypes.AutoString(), nullable=True),
sa.Column('id', sqlmodel.sql.sqltypes.GUID(), nullable=False), sa.Column(
sa.Column('created_at', sa.DateTime(), nullable=False), "provider", sqlmodel.sql.sqltypes.AutoString(), nullable=True
sa.Column('updated_at', sa.DateTime(), nullable=True), ),
sa.PrimaryKeyConstraint('id'), sa.Column("user_id", sqlmodel.sql.sqltypes.GUID(), nullable=False),
) sa.Column("id", sqlmodel.sql.sqltypes.GUID(), nullable=False),
sa.Column("created_at", sa.DateTime(), nullable=False),
sa.Column("updated_at", sa.DateTime(), nullable=True),
sa.PrimaryKeyConstraint("id"),
)
except Exception as e: except Exception as e:
print(e) print(e)
pass pass
# ### end Alembic commands ### # ### end Alembic commands ###
@ -40,7 +50,7 @@ def upgrade() -> None:
def downgrade() -> None: def downgrade() -> None:
# ### commands auto generated by Alembic - please adjust! ### # ### commands auto generated by Alembic - please adjust! ###
try: try:
op.drop_table('credential') op.drop_table("credential")
except Exception as e: except Exception as e:
print(e) print(e)
pass pass

44
src/backend/langflow/alembic/versions/67cc006d50bf_add_profile_image_column.py
View file

@ -5,6 +5,7 @@ Revises: 260dbcc8b680
Create Date: 2023-09-08 07:36:13.387318 Create Date: 2023-09-08 07:36:13.387318
""" """
from typing import Sequence, Union from typing import Sequence, Union
import sqlalchemy as sa import sqlalchemy as sa
@ -21,29 +22,36 @@ depends_on: Union[str, Sequence[str], None] = None
def upgrade() -> None: def upgrade() -> None:
# ### commands auto generated by Alembic - please adjust! ### # ### commands auto generated by Alembic - please adjust! ###
conn = op.get_bind() try:
inspector = Inspector.from_engine(conn) # type: ignore conn = op.get_bind()
if "user" in inspector.get_table_names() and "profile_image" not in [ inspector = Inspector.from_engine(conn) # type: ignore
column["name"] for column in inspector.get_columns("user") if "user" in inspector.get_table_names() and "profile_image" not in [
]: column["name"] for column in inspector.get_columns("user")
with op.batch_alter_table("user", schema=None) as batch_op: ]:
batch_op.add_column( with op.batch_alter_table("user", schema=None) as batch_op:
sa.Column( batch_op.add_column(
"profile_image", sqlmodel.sql.sqltypes.AutoString(), nullable=True sa.Column(
"profile_image",
sqlmodel.sql.sqltypes.AutoString(),
nullable=True,
)
) )
) except Exception as e:
print(e)
# ### end Alembic commands ### # ### end Alembic commands ###
def downgrade() -> None: def downgrade() -> None:
# ### commands auto generated by Alembic - please adjust! ### # ### commands auto generated by Alembic - please adjust! ###
conn = op.get_bind() try:
inspector = Inspector.from_engine(conn) # type: ignore conn = op.get_bind()
if "user" in inspector.get_table_names() and "profile_image" in [ inspector = Inspector.from_engine(conn) # type: ignore
column["name"] for column in inspector.get_columns("user") if "user" in inspector.get_table_names() and "profile_image" in [
]: column["name"] for column in inspector.get_columns("user")
with op.batch_alter_table("user", schema=None) as batch_op: ]:
batch_op.drop_column("profile_image") with op.batch_alter_table("user", schema=None) as batch_op:
batch_op.drop_column("profile_image")
except Exception as e:
print(e)
# ### end Alembic commands ### # ### end Alembic commands ###

30
src/backend/langflow/alembic/versions/7843803a87b5_store_updates.py
View file

@ -5,12 +5,13 @@ Revises: eb5866d51fd2
Create Date: 2023-10-18 23:08:57.744906 Create Date: 2023-10-18 23:08:57.744906
""" """
from typing import Sequence, Union from typing import Sequence, Union
import sqlalchemy as sa import sqlalchemy as sa
import sqlmodel import sqlmodel
from alembic import op from alembic import op
from loguru import logger from sqlalchemy.engine.reflection import Inspector
# revision identifiers, used by Alembic. # revision identifiers, used by Alembic.
revision: str = "7843803a87b5" revision: str = "7843803a87b5"
@ -21,19 +22,26 @@ depends_on: Union[str, Sequence[str], None] = None
def upgrade() -> None: def upgrade() -> None:
# ### commands auto generated by Alembic - please adjust! ### # ### commands auto generated by Alembic - please adjust! ###
conn = op.get_bind()
inspector = Inspector.from_engine(conn) # type: ignore
flow_columns = [column["name"] for column in inspector.get_columns("flow")]
user_columns = [column["name"] for column in inspector.get_columns("user")]
try: try:
with op.batch_alter_table("flow", schema=None) as batch_op: if "is_component" not in flow_columns:
batch_op.add_column(sa.Column("is_component", sa.Boolean(), nullable=True)) with op.batch_alter_table("flow", schema=None) as batch_op:
batch_op.add_column(
with op.batch_alter_table("user", schema=None) as batch_op: sa.Column("is_component", sa.Boolean(), nullable=True)
batch_op.add_column(
sa.Column(
"store_api_key", sqlmodel.AutoString(), nullable=True
) )
)
except Exception as e: except Exception as e:
logger.exception(e) pass
try:
if "store_api_key" not in user_columns:
with op.batch_alter_table("user", schema=None) as batch_op:
batch_op.add_column(
sa.Column("store_api_key", sqlmodel.AutoString(), nullable=True)
)
except Exception as e:
pass
# ### end Alembic commands ### # ### end Alembic commands ###

88
src/backend/langflow/alembic/versions/7d2162acc8b2_adds_updated_at_and_folder_cols.py
View file

@ -5,88 +5,74 @@ Revises: f5ee9749d1a6
Create Date: 2023-11-21 20:56:53.998781 Create Date: 2023-11-21 20:56:53.998781
""" """
from typing import Sequence, Union from typing import Sequence, Union
import sqlalchemy as sa import sqlalchemy as sa
import sqlmodel import sqlmodel
from alembic import op from alembic import op
from sqlalchemy.engine.reflection import Inspector
# revision identifiers, used by Alembic. # revision identifiers, used by Alembic.
revision: str = '7d2162acc8b2' revision: str = "7d2162acc8b2"
down_revision: Union[str, None] = 'f5ee9749d1a6' down_revision: Union[str, None] = "f5ee9749d1a6"
branch_labels: Union[str, Sequence[str], None] = None branch_labels: Union[str, Sequence[str], None] = None
depends_on: Union[str, Sequence[str], None] = None depends_on: Union[str, Sequence[str], None] = None
def upgrade() -> None: def upgrade() -> None:
# ### commands auto generated by Alembic - please adjust! ### # ### commands auto generated by Alembic - please adjust! ###
conn = op.get_bind()
inspector = Inspector.from_engine(conn) # type: ignore
api_key_columns = [column["name"] for column in inspector.get_columns("apikey")]
flow_columns = [column["name"] for column in inspector.get_columns("flow")]
try: try:
with op.batch_alter_table('component', schema=None) as batch_op: if "name" in api_key_columns:
batch_op.drop_index('ix_component_frontend_node_id') with op.batch_alter_table("apikey", schema=None) as batch_op:
batch_op.drop_index('ix_component_name') batch_op.alter_column(
op.drop_table('component') "name", existing_type=sa.VARCHAR(), nullable=False
op.drop_table('flowstyle') )
except Exception as e: except Exception as e:
print(e) print(e)
pass
with op.batch_alter_table('apikey', schema=None) as batch_op:
batch_op.alter_column('name',
existing_type=sa.VARCHAR(),
nullable=False)
with op.batch_alter_table('flow', schema=None) as batch_op: pass
batch_op.add_column(sa.Column('updated_at', sa.DateTime(), nullable=True)) try:
batch_op.add_column(sa.Column('folder', sqlmodel.sql.sqltypes.AutoString(), nullable=True)) with op.batch_alter_table("flow", schema=None) as batch_op:
if "updated_at" not in flow_columns:
batch_op.add_column(
sa.Column("updated_at", sa.DateTime(), nullable=True)
)
if "folder" not in flow_columns:
batch_op.add_column(
sa.Column(
"folder", sqlmodel.sql.sqltypes.AutoString(), nullable=True
)
)
except Exception as e:
print(e)
pass
# ### end Alembic commands ### # ### end Alembic commands ###
def downgrade() -> None: def downgrade() -> None:
# ### commands auto generated by Alembic - please adjust! ### # ### commands auto generated by Alembic - please adjust! ###
try: try:
with op.batch_alter_table('flow', schema=None) as batch_op: with op.batch_alter_table("flow", schema=None) as batch_op:
batch_op.drop_column('folder') batch_op.drop_column("folder")
batch_op.drop_column('updated_at') batch_op.drop_column("updated_at")
except Exception as e: except Exception as e:
print(e) print(e)
pass pass
try: try:
with op.batch_alter_table('apikey', schema=None) as batch_op: with op.batch_alter_table("apikey", schema=None) as batch_op:
batch_op.alter_column('name', batch_op.alter_column("name", existing_type=sa.VARCHAR(), nullable=True)
existing_type=sa.VARCHAR(),
nullable=True)
except Exception as e: except Exception as e:
print(e) print(e)
pass pass
try:
op.create_table('flowstyle',
sa.Column('color', sa.VARCHAR(), nullable=False),
sa.Column('emoji', sa.VARCHAR(), nullable=False),
sa.Column('flow_id', sa.CHAR(length=32), nullable=True),
sa.Column('id', sa.CHAR(length=32), nullable=False),
sa.ForeignKeyConstraint(['flow_id'], ['flow.id'], ),
sa.PrimaryKeyConstraint('id'),
sa.UniqueConstraint('id')
)
op.create_table('component',
sa.Column('id', sa.CHAR(length=32), nullable=False),
sa.Column('frontend_node_id', sa.CHAR(length=32), nullable=False),
sa.Column('name', sa.VARCHAR(), nullable=False),
sa.Column('description', sa.VARCHAR(), nullable=True),
sa.Column('python_code', sa.VARCHAR(), nullable=True),
sa.Column('return_type', sa.VARCHAR(), nullable=True),
sa.Column('is_disabled', sa.BOOLEAN(), nullable=False),
sa.Column('is_read_only', sa.BOOLEAN(), nullable=False),
sa.Column('create_at', sa.DATETIME(), nullable=False),
sa.Column('update_at', sa.DATETIME(), nullable=False),
sa.PrimaryKeyConstraint('id')
)
with op.batch_alter_table('component', schema=None) as batch_op:
batch_op.create_index('ix_component_name', ['name'], unique=False)
batch_op.create_index('ix_component_frontend_node_id', ['frontend_node_id'], unique=False)
except Exception as e:
print(e)
pass
# ### end Alembic commands ### # ### end Alembic commands ###

110
src/backend/langflow/alembic/versions/b2fa308044b5_add_unique_constraints.py
View file

@ -5,55 +5,105 @@ Revises: 0b8757876a7c
Create Date: 2024-01-26 13:31:14.797548 Create Date: 2024-01-26 13:31:14.797548
""" """
from typing import Sequence, Union from typing import Sequence, Union
import sqlalchemy as sa import sqlalchemy as sa
import sqlmodel import sqlmodel
from alembic import op from alembic import op
from sqlalchemy.engine.reflection import Inspector
# revision identifiers, used by Alembic. # revision identifiers, used by Alembic.
revision: str = 'b2fa308044b5' revision: str = "b2fa308044b5"
down_revision: Union[str, None] = '0b8757876a7c' down_revision: Union[str, None] = "0b8757876a7c"
branch_labels: Union[str, Sequence[str], None] = None branch_labels: Union[str, Sequence[str], None] = None
depends_on: Union[str, Sequence[str], None] = None depends_on: Union[str, Sequence[str], None] = None
def upgrade() -> None: def upgrade() -> None:
# ### commands auto generated by Alembic - please adjust! ###
conn = op.get_bind()
inspector = Inspector.from_engine(conn) # type: ignore
tables = inspector.get_table_names()
# ### commands auto generated by Alembic - please adjust! ### # ### commands auto generated by Alembic - please adjust! ###
try: try:
op.drop_table('flowstyle') if "flowstyle" in tables:
with op.batch_alter_table('flow', schema=None) as batch_op: op.drop_table("flowstyle")
batch_op.add_column(sa.Column('is_component', sa.Boolean(), nullable=True)) with op.batch_alter_table("flow", schema=None) as batch_op:
batch_op.add_column(sa.Column('updated_at', sa.DateTime(), nullable=True)) flow_columns = [column["name"] for column in inspector.get_columns("flow")]
batch_op.add_column(sa.Column('folder', sqlmodel.sql.sqltypes.AutoString(), nullable=True)) if "is_component" not in flow_columns:
batch_op.add_column(sa.Column('user_id', sqlmodel.sql.sqltypes.GUID(), nullable=True)) batch_op.add_column(
batch_op.create_index(batch_op.f('ix_flow_user_id'), ['user_id'], unique=False) sa.Column("is_component", sa.Boolean(), nullable=True)
batch_op.create_foreign_key('fk_flow_user_id_user', 'user', ['user_id'], ['id']) )
if "updated_at" not in flow_columns:
batch_op.add_column(
sa.Column("updated_at", sa.DateTime(), nullable=True)
)
if "folder" not in flow_columns:
batch_op.add_column(
sa.Column(
"folder", sqlmodel.sql.sqltypes.AutoString(), nullable=True
)
)
if "user_id" not in flow_columns:
batch_op.add_column(
sa.Column("user_id", sqlmodel.sql.sqltypes.GUID(), nullable=True)
)
indices = inspector.get_indexes("flow")
indices_names = [index["name"] for index in indices]
if "ix_flow_user_id" not in indices_names:
batch_op.create_index(
batch_op.f("ix_flow_user_id"), ["user_id"], unique=False
)
if "fk_flow_user_id_user" not in indices_names:
batch_op.create_foreign_key(
"fk_flow_user_id_user", "user", ["user_id"], ["id"]
)
except Exception: except Exception:
pass pass
# ### end Alembic commands ### # ### end Alembic commands ###
def downgrade() -> None: def downgrade() -> None:
# ### commands auto generated by Alembic - please adjust! ### conn = op.get_bind()
inspector = Inspector.from_engine(conn) # type: ignore
try: try:
with op.batch_alter_table('flow', schema=None) as batch_op: # Re-create the dropped table 'flowstyle' if it was previously dropped in upgrade
batch_op.drop_constraint('fk_flow_user_id_user', type_='foreignkey') if "flowstyle" not in inspector.get_table_names():
batch_op.drop_index(batch_op.f('ix_flow_user_id')) op.create_table(
batch_op.drop_column('user_id') "flowstyle",
batch_op.drop_column('folder') sa.Column("color", sa.String(), nullable=False),
batch_op.drop_column('updated_at') sa.Column("emoji", sa.String(), nullable=False),
batch_op.drop_column('is_component') sa.Column("flow_id", sqlmodel.sql.sqltypes.GUID(), nullable=True),
sa.Column("id", sqlmodel.sql.sqltypes.GUID(), nullable=False),
sa.ForeignKeyConstraint(["flow_id"], ["flow.id"]),
sa.PrimaryKeyConstraint("id"),
sa.UniqueConstraint("id"),
)
op.create_table('flowstyle', with op.batch_alter_table("flow", schema=None) as batch_op:
sa.Column('color', sa.VARCHAR(), nullable=False), # Check and remove newly added columns and constraints in upgrade
sa.Column('emoji', sa.VARCHAR(), nullable=False), flow_columns = [column["name"] for column in inspector.get_columns("flow")]
sa.Column('flow_id', sa.CHAR(length=32), nullable=True), if "user_id" in flow_columns:
sa.Column('id', sa.CHAR(length=32), nullable=False), batch_op.drop_column("user_id")
sa.ForeignKeyConstraint(['flow_id'], ['flow.id'], ), if "folder" in flow_columns:
sa.PrimaryKeyConstraint('id'), batch_op.drop_column("folder")
sa.UniqueConstraint('id') if "updated_at" in flow_columns:
) batch_op.drop_column("updated_at")
except Exception: if "is_component" in flow_columns:
pass batch_op.drop_column("is_component")
# ### end Alembic commands ###
indices = inspector.get_indexes("flow")
indices_names = [index["name"] for index in indices]
if "ix_flow_user_id" in indices_names:
batch_op.drop_index("ix_flow_user_id")
# Assuming fk_flow_user_id_user is a foreign key constraint's name, not an index
constraints = inspector.get_foreign_keys("flow")
constraint_names = [constraint["name"] for constraint in constraints]
if "fk_flow_user_id_user" in constraint_names:
batch_op.drop_constraint("fk_flow_user_id_user", type_="foreignkey")
except Exception as e:
# It's generally a good idea to log the exception or handle it in a way other than a bare pass
print(f"Error during downgrade: {e}")

76
src/backend/langflow/alembic/versions/bc2f01c40e4a_new_fixes.py
View file

@ -5,46 +5,68 @@ Revises: b2fa308044b5
Create Date: 2024-01-26 13:34:14.496769 Create Date: 2024-01-26 13:34:14.496769
""" """
from typing import Sequence, Union from typing import Sequence, Union
import sqlalchemy as sa import sqlalchemy as sa
import sqlmodel import sqlmodel
from alembic import op from alembic import op
from sqlalchemy.engine.reflection import Inspector
# revision identifiers, used by Alembic. # revision identifiers, used by Alembic.
revision: str = 'bc2f01c40e4a' revision: str = "bc2f01c40e4a"
down_revision: Union[str, None] = 'b2fa308044b5' down_revision: Union[str, None] = "b2fa308044b5"
branch_labels: Union[str, Sequence[str], None] = None branch_labels: Union[str, Sequence[str], None] = None
depends_on: Union[str, Sequence[str], None] = None depends_on: Union[str, Sequence[str], None] = None
def upgrade() -> None: def upgrade() -> None:
# ### commands auto generated by Alembic - please adjust! ### conn = op.get_bind()
try: inspector = Inspector.from_engine(conn) # type: ignore
with op.batch_alter_table('flow', schema=None) as batch_op: flow_columns = {column["name"] for column in inspector.get_columns("flow")}
batch_op.add_column(sa.Column('is_component', sa.Boolean(), nullable=True)) flow_indexes = {index["name"] for index in inspector.get_indexes("flow")}
batch_op.add_column(sa.Column('updated_at', sa.DateTime(), nullable=True)) flow_fks = {fk["name"] for fk in inspector.get_foreign_keys("flow")}
batch_op.add_column(sa.Column('folder', sqlmodel.sql.sqltypes.AutoString(), nullable=True))
batch_op.add_column(sa.Column('user_id', sqlmodel.sql.sqltypes.GUID(), nullable=True)) with op.batch_alter_table("flow", schema=None) as batch_op:
batch_op.create_index(batch_op.f('ix_flow_user_id'), ['user_id'], unique=False) if "is_component" not in flow_columns:
batch_op.create_foreign_key('flow_user_id_fkey' batch_op.add_column(sa.Column("is_component", sa.Boolean(), nullable=True))
, 'user', ['user_id'], ['id']) if "updated_at" not in flow_columns:
except Exception: batch_op.add_column(sa.Column("updated_at", sa.DateTime(), nullable=True))
pass if "folder" not in flow_columns:
# ### end Alembic commands ### batch_op.add_column(
sa.Column("folder", sqlmodel.sql.sqltypes.AutoString(), nullable=True)
)
if "user_id" not in flow_columns:
batch_op.add_column(
sa.Column("user_id", sqlmodel.sql.sqltypes.GUID(), nullable=True)
)
if "ix_flow_user_id" not in flow_indexes:
batch_op.create_index(
batch_op.f("ix_flow_user_id"), ["user_id"], unique=False
)
if "flow_user_id_fkey" not in flow_fks:
batch_op.create_foreign_key(
"flow_user_id_fkey", "user", ["user_id"], ["id"]
)
def downgrade() -> None: def downgrade() -> None:
# ### commands auto generated by Alembic - please adjust! ### conn = op.get_bind()
try: inspector = Inspector.from_engine(conn) # type: ignore
with op.batch_alter_table('flow', schema=None) as batch_op: flow_columns = {column["name"] for column in inspector.get_columns("flow")}
batch_op.drop_constraint('flow_user_id_fkey', type_='foreignkey') flow_indexes = {index["name"] for index in inspector.get_indexes("flow")}
batch_op.drop_index(batch_op.f('ix_flow_user_id')) flow_fks = {fk["name"] for fk in inspector.get_foreign_keys("flow")}
batch_op.drop_column('user_id')
batch_op.drop_column('folder')
batch_op.drop_column('updated_at')
batch_op.drop_column('is_component')
except Exception:
pass
# ### end Alembic commands ### with op.batch_alter_table("flow", schema=None) as batch_op:
if "flow_user_id_fkey" in flow_fks:
batch_op.drop_constraint("flow_user_id_fkey", type_="foreignkey")
if "ix_flow_user_id" in flow_indexes:
batch_op.drop_index(batch_op.f("ix_flow_user_id"))
if "user_id" in flow_columns:
batch_op.drop_column("user_id")
if "folder" in flow_columns:
batch_op.drop_column("folder")
if "updated_at" in flow_columns:
batch_op.drop_column("updated_at")
if "is_component" in flow_columns:
batch_op.drop_column("is_component")

65
src/backend/langflow/alembic/versions/eb5866d51fd2_change_columns_to_be_nullable.py
View file

@ -5,11 +5,10 @@ Revises: 67cc006d50bf
Create Date: 2023-10-04 10:18:25.640458 Create Date: 2023-10-04 10:18:25.640458
""" """
from typing import Sequence, Union from typing import Sequence, Union
import sqlalchemy as sa
from alembic import op from alembic import op
from sqlalchemy import exc
# revision identifiers, used by Alembic. # revision identifiers, used by Alembic.
revision: str = "eb5866d51fd2" revision: str = "eb5866d51fd2"
@ -21,70 +20,12 @@ depends_on: Union[str, Sequence[str], None] = None
def upgrade() -> None: def upgrade() -> None:
# ### commands auto generated by Alembic - please adjust! ### # ### commands auto generated by Alembic - please adjust! ###
connection = op.get_bind() connection = op.get_bind()
try:
op.drop_table("flowstyle")
with op.batch_alter_table("component", schema=None) as batch_op:
batch_op.drop_index("ix_component_frontend_node_id")
batch_op.drop_index("ix_component_name")
except exc.SQLAlchemyError:
# connection.execute(text("ROLLBACK"))
pass
except Exception as e:
print(e)
pass
try: pass
op.drop_table("component")
except exc.SQLAlchemyError:
# connection.execute(text("ROLLBACK"))
pass
except Exception as e:
print(e)
pass
# ### end Alembic commands ### # ### end Alembic commands ###
def downgrade() -> None: def downgrade() -> None:
# ### commands auto generated by Alembic - please adjust! ### # ### commands auto generated by Alembic - please adjust! ###
try: pass
op.create_table(
"component",
sa.Column("id", sa.CHAR(length=32), nullable=False),
sa.Column("frontend_node_id", sa.CHAR(length=32), nullable=False),
sa.Column("name", sa.VARCHAR(), nullable=False),
sa.Column("description", sa.VARCHAR(), nullable=True),
sa.Column("python_code", sa.VARCHAR(), nullable=True),
sa.Column("return_type", sa.VARCHAR(), nullable=True),
sa.Column("is_disabled", sa.BOOLEAN(), nullable=False),
sa.Column("is_read_only", sa.BOOLEAN(), nullable=False),
sa.Column("create_at", sa.DATETIME(), nullable=False),
sa.Column("update_at", sa.DATETIME(), nullable=False),
sa.PrimaryKeyConstraint("id", name="pk_component"),
)
with op.batch_alter_table("component", schema=None) as batch_op:
batch_op.create_index("ix_component_name", ["name"], unique=False)
batch_op.create_index(
"ix_component_frontend_node_id", ["frontend_node_id"], unique=False
)
except Exception as e:
print(e)
pass
try:
op.create_table(
"flowstyle",
sa.Column("color", sa.VARCHAR(), nullable=False),
sa.Column("emoji", sa.VARCHAR(), nullable=False),
sa.Column("flow_id", sa.CHAR(length=32), nullable=True),
sa.Column("id", sa.CHAR(length=32), nullable=False),
sa.ForeignKeyConstraint(
["flow_id"],
["flow.id"],
),
sa.PrimaryKeyConstraint("id", name="pk_flowstyle"),
sa.UniqueConstraint("id", name="uq_flowstyle_id"),
)
except Exception as e:
print(e)
pass
# ### end Alembic commands ### # ### end Alembic commands ###

1
src/backend/langflow/alembic/versions/f5ee9749d1a6_user_id_can_be_null_in_flow.py
View file

@ -5,6 +5,7 @@ Revises: 7843803a87b5
Create Date: 2023-10-18 23:12:27.297016 Create Date: 2023-10-18 23:12:27.297016
""" """
from typing import Sequence, Union from typing import Sequence, Union
import sqlalchemy as sa import sqlalchemy as sa

35
src/backend/langflow/alembic/versions/fd531f8868b1_fix_credential_table.py
View file

@ -5,22 +5,35 @@ Revises: 2ac71eb9c3ae
Create Date: 2023-11-24 15:07:37.566516 Create Date: 2023-11-24 15:07:37.566516
""" """
from typing import Sequence, Union
from typing import Optional, Sequence, Union
from alembic import op from alembic import op
from sqlalchemy.engine.reflection import Inspector
# revision identifiers, used by Alembic. # revision identifiers, used by Alembic.
revision: str = 'fd531f8868b1' revision: str = "fd531f8868b1"
down_revision: Union[str, None] = '2ac71eb9c3ae' down_revision: Union[str, None] = "2ac71eb9c3ae"
branch_labels: Union[str, Sequence[str], None] = None branch_labels: Union[str, Sequence[str], None] = None
depends_on: Union[str, Sequence[str], None] = None depends_on: Union[str, Sequence[str], None] = None
def upgrade() -> None: def upgrade() -> None:
# ### commands auto generated by Alembic - please adjust! ### # ### commands auto generated by Alembic - please adjust! ###
conn = op.get_bind()
inspector = Inspector.from_engine(conn) # type: ignore
tables = inspector.get_table_names()
foreign_keys_names = []
if "credential" in tables:
foreign_keys = inspector.get_foreign_keys("credential")
foreign_keys_names = [fk["name"] for fk in foreign_keys]
try: try:
with op.batch_alter_table('credential', schema=None) as batch_op: if "credential" in tables and "fk_credential_user_id" not in foreign_keys_names:
batch_op.create_foreign_key("fk_credential_user_id", 'user', ['user_id'], ['id']) with op.batch_alter_table("credential", schema=None) as batch_op:
batch_op.create_foreign_key(
"fk_credential_user_id", "user", ["user_id"], ["id"]
)
except Exception as e: except Exception as e:
print(e) print(e)
pass pass
@ -30,9 +43,17 @@ def upgrade() -> None:
def downgrade() -> None: def downgrade() -> None:
# ### commands auto generated by Alembic - please adjust! ### # ### commands auto generated by Alembic - please adjust! ###
conn = op.get_bind()
inspector = Inspector.from_engine(conn) # type: ignore
tables = inspector.get_table_names()
foreign_keys_names: list[Optional[str]] = []
if "credential" in tables:
foreign_keys = inspector.get_foreign_keys("credential")
foreign_keys_names = [fk["name"] for fk in foreign_keys]
try: try:
with op.batch_alter_table('credential', schema=None) as batch_op: if "credential" in tables and "fk_credential_user_id" in foreign_keys_names:
batch_op.drop_constraint("fk_credential_user_id", type_='foreignkey') with op.batch_alter_table("credential", schema=None) as batch_op:
batch_op.drop_constraint("fk_credential_user_id", type_="foreignkey")
except Exception as e: except Exception as e:
print(e) print(e)
pass pass

21
src/backend/langflow/api/v1/callback.py
View file

@ -17,6 +17,11 @@ if TYPE_CHECKING:
class AsyncStreamingLLMCallbackHandleSIO(AsyncCallbackHandler): class AsyncStreamingLLMCallbackHandleSIO(AsyncCallbackHandler):
"""Callback handler for streaming LLM responses.""" """Callback handler for streaming LLM responses."""
@property
def ignore_chain(self) -> bool:
"""Whether to ignore chain callbacks."""
return False
def __init__(self, session_id: str): def __init__(self, session_id: str):
self.chat_service = get_chat_service() self.chat_service = get_chat_service()
self.client_id = session_id self.client_id = session_id
@ -28,7 +33,9 @@ class AsyncStreamingLLMCallbackHandleSIO(AsyncCallbackHandler):
resp = ChatResponse(message=token, type="stream", intermediate_steps="") resp = ChatResponse(message=token, type="stream", intermediate_steps="")
await self.socketio_service.emit_token(to=self.sid, data=resp.model_dump()) await self.socketio_service.emit_token(to=self.sid, data=resp.model_dump())
async def on_tool_start(self, serialized: Dict[str, Any], input_str: str, **kwargs: Any) -> Any: async def on_tool_start(
self, serialized: Dict[str, Any], input_str: str, **kwargs: Any
) -> Any:
"""Run when tool starts running.""" """Run when tool starts running."""
resp = ChatResponse( resp = ChatResponse(
message="", message="",
@ -66,7 +73,9 @@ class AsyncStreamingLLMCallbackHandleSIO(AsyncCallbackHandler):
try: try:
# This is to emulate the stream of tokens # This is to emulate the stream of tokens
for resp in resps: for resp in resps:
await self.socketio_service.emit_token(to=self.sid, data=resp.model_dump()) await self.socketio_service.emit_token(
to=self.sid, data=resp.model_dump()
)
except Exception as exc: except Exception as exc:
logger.error(f"Error sending response: {exc}") logger.error(f"Error sending response: {exc}")
@ -92,7 +101,9 @@ class AsyncStreamingLLMCallbackHandleSIO(AsyncCallbackHandler):
resp = PromptResponse( resp = PromptResponse(
prompt=text, prompt=text,
) )
await self.socketio_service.emit_message(to=self.sid, data=resp.model_dump()) await self.socketio_service.emit_message(
to=self.sid, data=resp.model_dump()
)
async def on_agent_action(self, action: AgentAction, **kwargs: Any): async def on_agent_action(self, action: AgentAction, **kwargs: Any):
log = f"Thought: {action.log}" log = f"Thought: {action.log}"
@ -102,7 +113,9 @@ class AsyncStreamingLLMCallbackHandleSIO(AsyncCallbackHandler):
logs = log.split("\n") logs = log.split("\n")
for log in logs: for log in logs:
resp = ChatResponse(message="", type="stream", intermediate_steps=log) resp = ChatResponse(message="", type="stream", intermediate_steps=log)
await self.socketio_service.emit_token(to=self.sid, data=resp.model_dump()) await self.socketio_service.emit_token(
to=self.sid, data=resp.model_dump()
)
else: else:
resp = ChatResponse(message="", type="stream", intermediate_steps=log) resp = ChatResponse(message="", type="stream", intermediate_steps=log)
await self.socketio_service.emit_token(to=self.sid, data=resp.model_dump()) await self.socketio_service.emit_token(to=self.sid, data=resp.model_dump())

51
src/backend/langflow/components/tools/SearchApi.py Normal file
View file

@ -0,0 +1,51 @@
from langflow import CustomComponent
from langchain.schema import Document
from langflow.services.database.models.base import orjson_dumps
from langchain_community.utilities.searchapi import SearchApiAPIWrapper
from typing import Optional
class SearchApi(CustomComponent):
display_name: str = "SearchApi"
description: str = "Real-time search engine results API."
output_types: list[str] = ["Document"]
documentation: str = "https://www.searchapi.io/docs/google"
field_config = {
"engine": {
"display_name": "Engine",
"field_type": "str",
"info": "The search engine to use.",
},
"params": {
"display_name": "Parameters",
"info": "The parameters to send with the request.",
},
"code": {"show": False},
"api_key": {
"display_name": "API Key",
"field_type": "str",
"required": True,
"password": True,
"info": "The API key to use SearchApi.",
},
}
def build(
self,
engine: str,
api_key: str,
params: Optional[dict] = None,
) -> Document:
if params is None:
params = {}
search_api_wrapper = SearchApiAPIWrapper(engine=engine, searchapi_api_key=api_key)
q = params.pop("q", "SearchApi Langflow")
results = search_api_wrapper.results(q, **params)
result = orjson_dumps(results, indent_2=False)
document = Document(page_content=result)
return document

12
src/backend/langflow/services/chat/utils.py
View file

@ -3,11 +3,10 @@ from typing import Any
from langchain.agents import AgentExecutor from langchain.agents import AgentExecutor
from langchain.chains.base import Chain from langchain.chains.base import Chain
from langchain_core.runnables import Runnable from langchain_core.runnables import Runnable
from loguru import logger
from langflow.api.v1.schemas import ChatMessage from langflow.api.v1.schemas import ChatMessage
from langflow.interface.utils import try_setting_streaming_options from langflow.interface.utils import try_setting_streaming_options
from langflow.processing.base import get_result_and_steps from langflow.processing.base import get_result_and_steps
from loguru import logger
LANGCHAIN_RUNNABLES = (Chain, Runnable, AgentExecutor) LANGCHAIN_RUNNABLES = (Chain, Runnable, AgentExecutor)
@ -23,7 +22,9 @@ async def process_graph(
if build_result is None: if build_result is None:
# Raise user facing error # Raise user facing error
raise ValueError("There was an error loading the langchain_object. Please, check all the nodes and try again.") raise ValueError(
"There was an error loading the langchain_object. Please, check all the nodes and try again."
)
# Generate result and thought # Generate result and thought
try: try:
@ -39,7 +40,6 @@ async def process_graph(
client_id=client_id, client_id=client_id,
session_id=session_id, session_id=session_id,
) )
else: else:
raise TypeError(f"Unknown type {type(build_result)}") raise TypeError(f"Unknown type {type(build_result)}")
logger.debug("Generated result and intermediate_steps") logger.debug("Generated result and intermediate_steps")
@ -50,5 +50,7 @@ async def process_graph(
raise e raise e
async def run_build_result(build_result: Any, chat_inputs: ChatMessage, client_id: str, session_id: str): async def run_build_result(
build_result: Any, chat_inputs: ChatMessage, client_id: str, session_id: str
):
return build_result(inputs=chat_inputs.message) return build_result(inputs=chat_inputs.message)

34
src/backend/langflow/services/database/service.py
View file

@ -111,13 +111,11 @@ class DatabaseService(Service):
return True return True
def init_alembic(self): def init_alembic(self, alembic_cfg):
logger.info("Initializing alembic") logger.info("Initializing alembic")
alembic_cfg = Config() command.ensure_version(alembic_cfg)
alembic_cfg.set_main_option("script_location", str(self.script_location)) # alembic_cfg.attributes["connection"].commit()
alembic_cfg.set_main_option("sqlalchemy.url", self.database_url) command.upgrade(alembic_cfg, "head")
command.stamp(alembic_cfg, "head")
# command.upgrade(alembic_cfg, "head")
logger.info("Alembic initialized") logger.info("Alembic initialized")
def run_migrations(self, fix=False): def run_migrations(self, fix=False):
@ -126,6 +124,11 @@ class DatabaseService(Service):
# if not self.script_location.exists(): # this is not the correct way to check if alembic has been initialized # if not self.script_location.exists(): # this is not the correct way to check if alembic has been initialized
# We need to check if the alembic_version table exists # We need to check if the alembic_version table exists
# if not, we need to initialize alembic # if not, we need to initialize alembic
alembic_cfg = Config()
# 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)
should_initialize_alembic = False
with Session(self.engine) as session: with Session(self.engine) as session:
# If the table does not exist it throws an error # If the table does not exist it throws an error
# so we need to catch it # so we need to catch it
@ -133,18 +136,19 @@ class DatabaseService(Service):
session.exec(text("SELECT * FROM alembic_version")) session.exec(text("SELECT * FROM alembic_version"))
except Exception: except Exception:
logger.info("Alembic not initialized") logger.info("Alembic not initialized")
try: should_initialize_alembic = True
self.init_alembic()
except Exception as exc:
logger.error(f"Error initializing alembic: {exc}")
raise RuntimeError("Error initializing alembic") from exc
else: else:
logger.info("Alembic already initialized") logger.info("Alembic already initialized")
if should_initialize_alembic:
try:
self.init_alembic(alembic_cfg)
except Exception as exc:
logger.error(f"Error initializing alembic: {exc}")
raise RuntimeError("Error initializing alembic") from exc
logger.info(f"Running DB migrations in {self.script_location}") logger.info(f"Running DB migrations in {self.script_location}")
alembic_cfg = Config()
alembic_cfg.set_main_option("script_location", str(self.script_location))
alembic_cfg.set_main_option("sqlalchemy.url", self.database_url)
try: try:
command.check(alembic_cfg) command.check(alembic_cfg)
except Exception as exc: except Exception as exc:
@ -155,7 +159,7 @@ class DatabaseService(Service):
try: try:
command.check(alembic_cfg) command.check(alembic_cfg)
except util.exc.AutogenerateDiffsDetected as e: except util.exc.AutogenerateDiffsDetected as e:
logger.exception("AutogenerateDiffsDetected: {exc}") logger.error("AutogenerateDiffsDetected: {exc}")
if not fix: if not fix:
raise RuntimeError( raise RuntimeError(
"Something went wrong running migrations. Please, run `langflow migration --fix`" "Something went wrong running migrations. Please, run `langflow migration --fix`"

61
src/backend/langflow/services/utils.py
View file

@ -5,7 +5,10 @@ from langflow.services.auth.utils import create_super_user, verify_password
from langflow.services.database.utils import initialize_database from langflow.services.database.utils import initialize_database
from langflow.services.manager import service_manager from langflow.services.manager import service_manager
from langflow.services.schema import ServiceType from langflow.services.schema import ServiceType
from langflow.services.settings.constants import DEFAULT_SUPERUSER, DEFAULT_SUPERUSER_PASSWORD from langflow.services.settings.constants import (
DEFAULT_SUPERUSER,
DEFAULT_SUPERUSER_PASSWORD,
)
from langflow.services.socket.utils import set_socketio_server from langflow.services.socket.utils import set_socketio_server
from .deps import get_db_service, get_session, get_settings_service from .deps import get_db_service, get_session, get_settings_service
@ -19,7 +22,9 @@ def get_factories_and_deps():
from langflow.services.database import factory as database_factory from langflow.services.database import factory as database_factory
from langflow.services.monitor import factory as monitor_factory from langflow.services.monitor import factory as monitor_factory
from langflow.services.plugins import factory as plugins_factory from langflow.services.plugins import factory as plugins_factory
from langflow.services.session import factory as session_service_factory # type: ignore from langflow.services.session import (
factory as session_service_factory,
) # type: ignore
from langflow.services.settings import factory as settings_factory from langflow.services.settings import factory as settings_factory
from langflow.services.socket import factory as socket_factory from langflow.services.socket import factory as socket_factory
from langflow.services.storage import factory as storage_factory from langflow.services.storage import factory as storage_factory
@ -48,8 +53,14 @@ def get_factories_and_deps():
), ),
(plugins_factory.PluginServiceFactory(), [ServiceType.SETTINGS_SERVICE]), (plugins_factory.PluginServiceFactory(), [ServiceType.SETTINGS_SERVICE]),
(store_factory.StoreServiceFactory(), [ServiceType.SETTINGS_SERVICE]), (store_factory.StoreServiceFactory(), [ServiceType.SETTINGS_SERVICE]),
(credentials_factory.CredentialServiceFactory(), [ServiceType.SETTINGS_SERVICE]), (
(storage_factory.StorageServiceFactory(), [ServiceType.SESSION_SERVICE, ServiceType.SETTINGS_SERVICE]), credentials_factory.CredentialServiceFactory(),
[ServiceType.SETTINGS_SERVICE],
),
(
storage_factory.StorageServiceFactory(),
[ServiceType.SESSION_SERVICE, ServiceType.SETTINGS_SERVICE],
),
(monitor_factory.MonitorServiceFactory(), [ServiceType.SETTINGS_SERVICE]), (monitor_factory.MonitorServiceFactory(), [ServiceType.SETTINGS_SERVICE]),
(socket_factory.SocketIOFactory(), [ServiceType.CACHE_SERVICE]), (socket_factory.SocketIOFactory(), [ServiceType.CACHE_SERVICE]),
] ]
@ -81,12 +92,16 @@ def get_or_create_super_user(session: Session, username, password, is_default):
) )
return None return None
else: else:
logger.debug("User with superuser credentials exists but is not a superuser.") logger.debug(
"User with superuser credentials exists but is not a superuser."
)
return None return None
if user: if user:
if verify_password(password, user.password): if verify_password(password, user.password):
raise ValueError("User with superuser credentials exists but is not a superuser.") raise ValueError(
"User with superuser credentials exists but is not a superuser."
)
else: else:
raise ValueError("Incorrect superuser credentials") raise ValueError("Incorrect superuser credentials")
@ -115,15 +130,21 @@ def setup_superuser(settings_service, session: Session):
username = settings_service.auth_settings.SUPERUSER username = settings_service.auth_settings.SUPERUSER
password = settings_service.auth_settings.SUPERUSER_PASSWORD password = settings_service.auth_settings.SUPERUSER_PASSWORD
is_default = (username == DEFAULT_SUPERUSER) and (password == DEFAULT_SUPERUSER_PASSWORD) is_default = (username == DEFAULT_SUPERUSER) and (
password == DEFAULT_SUPERUSER_PASSWORD
)
try: try:
user = get_or_create_super_user(session=session, username=username, password=password, is_default=is_default) user = get_or_create_super_user(
session=session, username=username, password=password, is_default=is_default
)
if user is not None: if user is not None:
logger.debug("Superuser created successfully.") logger.debug("Superuser created successfully.")
except Exception as exc: except Exception as exc:
logger.exception(exc) logger.exception(exc)
raise RuntimeError("Could not create superuser. Please create a superuser manually.") from exc raise RuntimeError(
"Could not create superuser. Please create a superuser manually."
) from exc
finally: finally:
settings_service.auth_settings.reset_credentials() settings_service.auth_settings.reset_credentials()
@ -137,7 +158,9 @@ def teardown_superuser(settings_service, session):
if not settings_service.auth_settings.AUTO_LOGIN: if not settings_service.auth_settings.AUTO_LOGIN:
try: try:
logger.debug("AUTO_LOGIN is set to False. Removing default superuser if exists.") logger.debug(
"AUTO_LOGIN is set to False. Removing default superuser if exists."
)
username = DEFAULT_SUPERUSER username = DEFAULT_SUPERUSER
from langflow.services.database.models.user.model import User from langflow.services.database.models.user.model import User
@ -181,11 +204,15 @@ def initialize_session_service():
Initialize the session manager. Initialize the session manager.
""" """
from langflow.services.cache import factory as cache_factory from langflow.services.cache import factory as cache_factory
from langflow.services.session import factory as session_service_factory # type: ignore from langflow.services.session import (
factory as session_service_factory,
) # type: ignore
initialize_settings_service() initialize_settings_service()
service_manager.register_factory(cache_factory.CacheServiceFactory(), dependencies=[ServiceType.SETTINGS_SERVICE]) service_manager.register_factory(
cache_factory.CacheServiceFactory(), dependencies=[ServiceType.SETTINGS_SERVICE]
)
service_manager.register_factory( service_manager.register_factory(
session_service_factory.SessionServiceFactory(), session_service_factory.SessionServiceFactory(),
@ -202,7 +229,9 @@ def initialize_services(fix_migration: bool = False, socketio_server=None):
service_manager.register_factory(factory, dependencies=dependencies) service_manager.register_factory(factory, dependencies=dependencies)
except Exception as exc: except Exception as exc:
logger.exception(exc) logger.exception(exc)
raise RuntimeError("Could not initialize services. Please check your settings.") from exc raise RuntimeError(
"Could not initialize services. Please check your settings."
) from exc
# Test cache connection # Test cache connection
service_manager.get(ServiceType.CACHE_SERVICE) service_manager.get(ServiceType.CACHE_SERVICE)
@ -210,9 +239,11 @@ def initialize_services(fix_migration: bool = False, socketio_server=None):
try: try:
initialize_database(fix_migration=fix_migration) initialize_database(fix_migration=fix_migration)
except Exception as exc: except Exception as exc:
logger.exception(exc) logger.error(exc)
raise exc raise exc
setup_superuser(service_manager.get(ServiceType.SETTINGS_SERVICE), next(get_session())) setup_superuser(
service_manager.get(ServiceType.SETTINGS_SERVICE), next(get_session())
)
try: try:
get_db_service().migrate_flows_if_auto_login() get_db_service().migrate_flows_if_auto_login()
except Exception as exc: except Exception as exc:

79
src/frontend/src/components/CrashErrorComponent/index.tsx
View file

@ -1,36 +1,63 @@
import { XCircle } from "lucide-react";
import { crashComponentPropsType } from "../../types/components"; import { crashComponentPropsType } from "../../types/components";
import { Button } from "../ui/button";
import { Card, CardContent, CardFooter, CardHeader } from "../ui/card";
export default function CrashErrorComponent({ export default function CrashErrorComponent({
error, error,
resetErrorBoundary, resetErrorBoundary,
}: crashComponentPropsType): JSX.Element { }: crashComponentPropsType): JSX.Element {
return ( return (
<div className="fixed left-0 top-0 z-50 flex h-full w-full items-center justify-center bg-foreground bg-opacity-50"> <div className="z-50 flex h-screen w-screen items-center justify-center bg-foreground bg-opacity-50">
<div className="flex h-1/3 min-h-fit max-w-4xl flex-col justify-evenly rounded-lg bg-background p-8 text-start shadow-lg"> <div className="flex h-screen w-screen flex-col bg-background text-start shadow-lg">
<h1 className="mb-4 text-3xl text-status-red"> <div className="m-auto grid w-1/2 justify-center gap-5 text-center">
Oops! An unknown error has occurred. <Card className="p-8">
</h1> <CardHeader>
<p className="mb-4 text-xl text-foreground"> <div className="m-auto">
Please click the 'Reset Application' button to restore the <XCircle strokeWidth={1.5} className="h-16 w-16" />
application's state. If the error persists, please create an issue on </div>
our GitHub page. We apologize for any inconvenience this may have <div>
caused. <p className="mb-4 text-xl text-foreground">
</p> Sorry, we found an unexpected error!
<div className="flex justify-center"> </p>
<button </div>
onClick={resetErrorBoundary} </CardHeader>
className="mr-4 rounded bg-primary px-4 py-2 font-bold text-background hover:bg-ring"
> <CardContent className="grid">
Reset Application <div>
</button> <p>
<a Please report errors with detailed tracebacks on the{" "}
href="https://github.com/logspace-ai/langflow/issues/new" <a
target="_blank" href="https://github.com/logspace-ai/langflow/issues"
rel="noopener noreferrer" target="_blank"
className="rounded bg-status-red px-4 py-2 font-bold text-background hover:bg-error-foreground" rel="noopener noreferrer"
> className="font-medium hover:underline "
Create Issue >
</a> GitHub Issues
</a>{" "}
page.
<br></br>
Thank you!
</p>
</div>
</CardContent>
<CardFooter>
<div className="m-auto mt-4 flex justify-center">
<Button onClick={resetErrorBoundary}>Restart Langflow</Button>
<a
href="https://github.com/logspace-ai/langflow/issues/new"
target="_blank"
rel="noopener noreferrer"
>
<Button className="ml-3" variant={"outline"}>
Report on GitHub
</Button>
</a>
</div>
</CardFooter>
</Card>
</div> </div>
</div> </div>
</div> </div>

2
src/frontend/src/contexts/authContext.tsx
View file

@ -7,6 +7,7 @@ import {
requestLogout, requestLogout,
} from "../controllers/API"; } from "../controllers/API";
import useAlertStore from "../stores/alertStore"; import useAlertStore from "../stores/alertStore";
import useFlowsManagerStore from "../stores/flowsManagerStore";
import { Users } from "../types/api"; import { Users } from "../types/api";
import { AuthContextType } from "../types/contexts/auth"; import { AuthContextType } from "../types/contexts/auth";
@ -79,6 +80,7 @@ export function AuthProvider({ children }): React.ReactElement {
getUser(); getUser();
} else { } else {
setLoading(false); setLoading(false);
useFlowsManagerStore.setState({ isLoading: false });
} }
}); });
}, [setUserData, setLoading, autoLogin, setIsAdmin]); }, [setUserData, setLoading, autoLogin, setIsAdmin]);

2
src/frontend/src/stores/typesStore.ts
View file

@ -16,7 +16,7 @@ export const useTypesStore = create<TypesStoreType>((set, get) => ({
setLoading(true); setLoading(true);
getAll() getAll()
.then((response) => { .then((response) => {
const data = response.data; const data = response?.data;
useAlertStore.setState({ loading: false }); useAlertStore.setState({ loading: false });
set((old) => ({ set((old) => ({
types: typesGenerator(data), types: typesGenerator(data),

41
tests/test_endpoints.py
View file

@ -29,7 +29,10 @@ def poll_task_status(client, headers, href, max_attempts=20, sleep_time=1):
href, href,
headers=headers, headers=headers,
) )
if task_status_response.status_code == 200 and task_status_response.json()["status"] == "SUCCESS": if (
task_status_response.status_code == 200
and task_status_response.json()["status"] == "SUCCESS"
):
return task_status_response.json() return task_status_response.json()
time.sleep(sleep_time) time.sleep(sleep_time)
return None # Return None if task did not complete in time return None # Return None if task did not complete in time
@ -123,7 +126,11 @@ def created_api_key(active_user):
) )
db_manager = get_db_service() db_manager = get_db_service()
with session_getter(db_manager) as session: with session_getter(db_manager) as session:
if existing_api_key := session.query(ApiKey).filter(ApiKey.api_key == api_key.api_key).first(): if (
existing_api_key := session.query(ApiKey)
.filter(ApiKey.api_key == api_key.api_key)
.first()
):
return existing_api_key return existing_api_key
session.add(api_key) session.add(api_key)
session.commit() session.commit()
@ -289,7 +296,11 @@ def test_get_all(client: TestClient, logged_in_headers):
dir_reader = DirectoryReader(settings.COMPONENTS_PATH[0]) dir_reader = DirectoryReader(settings.COMPONENTS_PATH[0])
files = dir_reader.get_files() files = dir_reader.get_files()
# json_response is a dict of dicts # json_response is a dict of dicts
all_names = [component_name for _, components in response.json().items() for component_name in components] all_names = [
component_name
for _, components in response.json().items()
for component_name in components
]
json_response = response.json() json_response = response.json()
# We need to test the custom nodes # We need to test the custom nodes
assert len(all_names) > len(files) assert len(all_names) > len(files)
@ -414,13 +425,19 @@ def test_various_prompts(client, prompt, expected_input_variables):
def test_get_vertices_flow_not_found(client, logged_in_headers): def test_get_vertices_flow_not_found(client, logged_in_headers):
response = client.get("/api/v1/build/nonexistent_id/vertices", headers=logged_in_headers) response = client.get(
assert response.status_code == 500 # Or whatever status code you've set for invalid ID "/api/v1/build/nonexistent_id/vertices", headers=logged_in_headers
)
assert (
response.status_code == 500
) # Or whatever status code you've set for invalid ID
def test_get_vertices(client, added_flow_with_prompt_and_history, logged_in_headers): def test_get_vertices(client, added_flow_with_prompt_and_history, logged_in_headers):
flow_id = added_flow_with_prompt_and_history["id"] flow_id = added_flow_with_prompt_and_history["id"]
response = client.get(f"/api/v1/build/{flow_id}/vertices", headers=logged_in_headers) response = client.get(
f"/api/v1/build/{flow_id}/vertices", headers=logged_in_headers
)
assert response.status_code == 200 assert response.status_code == 200
assert "ids" in response.json() assert "ids" in response.json()
# The response should contain the list in this order # The response should contain the list in this order
@ -436,13 +453,19 @@ def test_get_vertices(client, added_flow_with_prompt_and_history, logged_in_head
def test_build_vertex_invalid_flow_id(client, logged_in_headers): def test_build_vertex_invalid_flow_id(client, logged_in_headers):
response = client.post("/api/v1/build/nonexistent_id/vertices/vertex_id", headers=logged_in_headers) response = client.post(
"/api/v1/build/nonexistent_id/vertices/vertex_id", headers=logged_in_headers
)
assert response.status_code == 500 assert response.status_code == 500
def test_build_vertex_invalid_vertex_id(client, added_flow_with_prompt_and_history, logged_in_headers): def test_build_vertex_invalid_vertex_id(
client, added_flow_with_prompt_and_history, logged_in_headers
):
flow_id = added_flow_with_prompt_and_history["id"] flow_id = added_flow_with_prompt_and_history["id"]
response = client.post(f"/api/v1/build/{flow_id}/vertices/invalid_vertex_id", headers=logged_in_headers) response = client.post(
f"/api/v1/build/{flow_id}/vertices/invalid_vertex_id", headers=logged_in_headers
)
assert response.status_code == 500 assert response.status_code == 500

40
tests/test_prompts_template.py
View file

@ -1,4 +1,5 @@
from fastapi.testclient import TestClient from fastapi.testclient import TestClient
from langflow.services.deps import get_settings_service from langflow.services.deps import get_settings_service
@ -9,42 +10,3 @@ def test_prompts_settings(client: TestClient, logged_in_headers):
json_response = response.json() json_response = response.json()
prompts = json_response["prompts"] prompts = json_response["prompts"]
assert set(prompts.keys()) == set(settings_service.settings.PROMPTS) assert set(prompts.keys()) == set(settings_service.settings.PROMPTS)
def test_prompt_template(client: TestClient, logged_in_headers):
response = client.get("api/v1/all", headers=logged_in_headers)
assert response.status_code == 200
json_response = response.json()
prompts = json_response["prompts"]
prompt = prompts["PromptTemplate"]
template = prompt["template"]
assert template["input_variables"] == {
"required": True,
"dynamic": True,
"placeholder": "",
"show": False,
"multiline": False,
"password": False,
"name": "input_variables",
"type": "str",
"list": True,
"advanced": False,
"info": "",
"fileTypes": [],
}
assert template["template"] == {
"required": True,
"dynamic": True,
"placeholder": "",
"show": True,
"multiline": True,
"password": False,
"name": "template",
"type": "prompt",
"list": False,
"advanced": False,
"info": "",
"fileTypes": [],
}