diff --git a/.github/workflows/lint.yml b/.github/workflows/lint.yml index 64d06a313..d4eaafb95 100644 --- a/.github/workflows/lint.yml +++ b/.github/workflows/lint.yml @@ -3,7 +3,15 @@ name: lint on: push: branches: [main] + paths: + - "poetry.lock" + - "pyproject.toml" + - "src/backend/**" pull_request: + paths: + - "poetry.lock" + - "pyproject.toml" + - "src/backend/**" env: POETRY_VERSION: "1.7.0" diff --git a/.github/workflows/test.yml b/.github/workflows/test.yml index 93ec5bf7e..10ab9b324 100644 --- a/.github/workflows/test.yml +++ b/.github/workflows/test.yml @@ -3,8 +3,16 @@ name: test on: push: branches: [main] + paths: + - "poetry.lock" + - "pyproject.toml" + - "src/backend/**" pull_request: branches: [dev] + paths: + - "poetry.lock" + - "pyproject.toml" + - "src/backend/**" env: POETRY_VERSION: "1.5.0" diff --git a/docs/docs/components/tools.mdx b/docs/docs/components/tools.mdx index c92d6eee0..40fb2c5c2 100644 --- a/docs/docs/components/tools.mdx +++ b/docs/docs/components/tools.mdx @@ -9,6 +9,21 @@ import Admonition from '@theme/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 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** -- **Db:** SQLDatabase to query. \ No newline at end of file +- **Db:** SQLDatabase to query. diff --git a/docs/docs/examples/searchapi-tool.mdx b/docs/docs/examples/searchapi-tool.mdx new file mode 100644 index 000000000..d3cb4734a --- /dev/null +++ b/docs/docs/examples/searchapi-tool.mdx @@ -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. + + + To use the SearchApi, you must first obtain an API key by registering at [SearchApi's website](https://www.searchapi.io/). + + +In the given example, we specify `engine` as `youtube_transcripts` and provide a `video_id`. + + + All engines and parameters can be found in [SearchApi documentation](https://www.searchapi.io/docs/google). + + +The `RetrievalQA` chain processes a `Document` along with a user's question to return an answer. + + + In this example, we used [`ChatOpenAI`](https://platform.openai.com/) as the + LLM, but feel free to experiment with other Language Models! + + +The `RetrievalQA` takes `CombineDocsChain` and `SearchApi` tool as inputs, using the tool as a `Document` to answer questions. + + + Learn more about the SearchApi + [here](https://python.langchain.com/docs/integrations/tools/searchapi). + + +## ⛓️ Langflow Example + +import ThemedImage from "@theme/ThemedImage"; +import useBaseUrl from "@docusaurus/useBaseUrl"; +import ZoomableImage from "/src/theme/ZoomableImage.js"; + + + +#### Download Flow + + + +- [`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) + + \ No newline at end of file diff --git a/docs/sidebars.js b/docs/sidebars.js index f500d7728..e238e1860 100644 --- a/docs/sidebars.js +++ b/docs/sidebars.js @@ -81,6 +81,7 @@ module.exports = { "examples/buffer-memory", "examples/midjourney-prompt-chain", "examples/csv-loader", + "examples/searchapi-tool", "examples/serp-api-tool", "examples/multiple-vectorstores", "examples/python-function", diff --git a/docs/static/img/searchapi-tool.png b/docs/static/img/searchapi-tool.png new file mode 100644 index 000000000..0e11a3b16 Binary files /dev/null and b/docs/static/img/searchapi-tool.png differ diff --git a/docs/static/json_files/SearchApi_Tool.json b/docs/static/json_files/SearchApi_Tool.json new file mode 100644 index 000000000..304f191f1 --- /dev/null +++ b/docs/static/json_files/SearchApi_Tool.json @@ -0,0 +1 @@ +{"id":"7fc56f82-3493-4742-9c85-82b144127aff","data":{"nodes":[{"id":"ChatOpenAI-4Mfuz","type":"genericNode","position":{"x":-2243.8068684913856,"y":-2026.350019258601},"data":{"type":"ChatOpenAI","node":{"template":{"callbacks":{"type":"langchain_core.callbacks.base.BaseCallbackHandler","required":false,"placeholder":"","list":true,"show":false,"multiline":false,"fileTypes":[],"password":false,"name":"callbacks","advanced":false,"dynamic":false,"info":""},"async_client":{"type":"Any","required":false,"placeholder":"","list":false,"show":false,"multiline":false,"fileTypes":[],"password":false,"name":"async_client","advanced":false,"dynamic":false,"info":""},"cache":{"type":"bool","required":false,"placeholder":"","list":false,"show":false,"multiline":false,"fileTypes":[],"password":false,"name":"cache","advanced":false,"dynamic":false,"info":""},"client":{"type":"Any","required":false,"placeholder":"","list":false,"show":false,"multiline":false,"fileTypes":[],"password":false,"name":"client","advanced":false,"dynamic":false,"info":""},"default_headers":{"type":"dict","required":false,"placeholder":"","list":false,"show":false,"multiline":false,"fileTypes":[],"password":false,"name":"default_headers","advanced":false,"dynamic":false,"info":""},"default_query":{"type":"dict","required":false,"placeholder":"","list":false,"show":false,"multiline":false,"fileTypes":[],"password":false,"name":"default_query","advanced":false,"dynamic":false,"info":""},"http_client":{"type":"Any","required":false,"placeholder":"","list":false,"show":false,"multiline":false,"fileTypes":[],"password":false,"name":"http_client","advanced":false,"dynamic":false,"info":""},"max_retries":{"type":"int","required":false,"placeholder":"","list":false,"show":false,"multiline":false,"value":2,"fileTypes":[],"password":false,"name":"max_retries","advanced":false,"dynamic":false,"info":""},"max_tokens":{"type":"int","required":false,"placeholder":"","list":false,"show":true,"multiline":false,"fileTypes":[],"password":true,"name":"max_tokens","advanced":false,"dynamic":false,"info":"","value":""},"metadata":{"type":"dict","required":false,"placeholder":"","list":false,"show":false,"multiline":false,"fileTypes":[],"password":false,"name":"metadata","advanced":false,"dynamic":false,"info":""},"model_kwargs":{"type":"dict","required":false,"placeholder":"","list":false,"show":true,"multiline":false,"fileTypes":[],"password":false,"name":"model_kwargs","advanced":true,"dynamic":false,"info":""},"model_name":{"type":"str","required":false,"placeholder":"","list":true,"show":true,"multiline":false,"value":"gpt-3.5-turbo-16k","fileTypes":[],"password":false,"options":["gpt-4-1106-preview","gpt-4-vision-preview","gpt-4","gpt-4-32k","gpt-3.5-turbo","gpt-3.5-turbo-16k"],"name":"model_name","advanced":false,"dynamic":false,"info":""},"n":{"type":"int","required":false,"placeholder":"","list":false,"show":false,"multiline":false,"value":1,"fileTypes":[],"password":false,"name":"n","advanced":false,"dynamic":false,"info":""},"name":{"type":"str","required":false,"placeholder":"","list":false,"show":false,"multiline":false,"fileTypes":[],"password":false,"name":"name","advanced":false,"dynamic":false,"info":""},"openai_api_base":{"type":"str","required":false,"placeholder":"","list":false,"show":true,"multiline":false,"fileTypes":[],"password":false,"name":"openai_api_base","display_name":"OpenAI API Base","advanced":false,"dynamic":false,"info":"\nThe base URL of the OpenAI API. 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files = [ [[package]] name = "typing-extensions" -version = "4.9.0" +version = "4.10.0" description = "Backported and Experimental Type Hints for Python 3.8+" optional = false python-versions = ">=3.8" files = [ - {file = "typing_extensions-4.9.0-py3-none-any.whl", hash = "sha256:af72aea155e91adfc61c3ae9e0e342dbc0cba726d6cba4b6c72c1f34e47291cd"}, - {file = "typing_extensions-4.9.0.tar.gz", hash = "sha256:23478f88c37f27d76ac8aee6c905017a143b0b1b886c3c9f66bc2fd94f9f5783"}, + {file = "typing_extensions-4.10.0-py3-none-any.whl", hash = "sha256:69b1a937c3a517342112fb4c6df7e72fc39a38e7891a5730ed4985b5214b5475"}, + {file = "typing_extensions-4.10.0.tar.gz", hash = "sha256:b0abd7c89e8fb96f98db18d86106ff1d90ab692004eb746cf6eda2682f91b3cb"}, ] [[package]] @@ -8447,13 +8393,13 @@ devenv = ["check-manifest", "pytest (>=4.3)", "pytest-cov", "pytest-mock (>=3.3) [[package]] name = "unstructured" -version = "0.12.4" +version = "0.12.5" description = "A library that prepares raw documents for downstream ML tasks." optional = false python-versions = ">=3.9.0,<3.12" files = [ - {file = "unstructured-0.12.4-py3-none-any.whl", hash = "sha256:f1aa046297a3afba3aa16895e513aca6a93802ef73b7a18080656435c4deb217"}, - {file = "unstructured-0.12.4.tar.gz", hash = "sha256:019cf52e9e2bfa286e61ffa0d7d336e1645280f9a0f165e697583143fcfe708a"}, + {file = "unstructured-0.12.5-py3-none-any.whl", hash = "sha256:cce7de36964f556810adb8728d0639d8e9b3ef4567443877609f3c66a54e24d1"}, + {file = "unstructured-0.12.5.tar.gz", hash = "sha256:5ea6c881049e7d98a88c07192bcb6ab750de41b4e3b594972ed1034bda99dbae"}, ] [package.dependencies] @@ -8479,6 +8425,7 @@ wrapt = "*" [package.extras] 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"] +astra = ["astrapy"] azure = ["adlfs", "fsspec"] azure-cognitive-search = ["azure-search-documents"] bedrock = ["boto3", "langchain-community"] @@ -9264,4 +9211,4 @@ local = ["ctransformers", "llama-cpp-python", "sentence-transformers"] [metadata] lock-version = "2.0" python-versions = ">=3.9,<3.12" -content-hash = "f6e7304a94c078d82b971992eb8259e22cb7e9e4ebb114ecc27db5275bf03a0c" +content-hash = "25c6686705b9e1a5a01b48c85bfc8e04592f1cf91d69ff47d421d9d7a895e1df" diff --git a/pyproject.toml b/pyproject.toml index de6bd5c7a..3688d9a77 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "langflow" -version = "0.6.7" +version = "0.6.8" description = "A Python package with a built-in web application" authors = ["Logspace "] maintainers = [ @@ -61,7 +61,7 @@ python-multipart = "^0.0.7" sqlmodel = "^0.0.14" faiss-cpu = "^1.7.4" anthropic = "^0.15.0" -orjson = "3.9.3" +orjson = "3.9.15" multiprocess = "^0.70.14" cachetools = "^5.3.1" types-cachetools = "^5.3.0.5" diff --git a/src/backend/langflow/api/v1/callback.py b/src/backend/langflow/api/v1/callback.py index 86409c767..f9be5d56c 100644 --- a/src/backend/langflow/api/v1/callback.py +++ b/src/backend/langflow/api/v1/callback.py @@ -14,6 +14,11 @@ from loguru import logger class AsyncStreamingLLMCallbackHandler(AsyncCallbackHandler): """Callback handler for streaming LLM responses.""" + @property + def ignore_chain(self) -> bool: + """Whether to ignore chain callbacks.""" + return False + def __init__(self, client_id: str): self.chat_service = get_chat_service() self.client_id = client_id diff --git a/src/backend/langflow/components/tools/SearchApi.py b/src/backend/langflow/components/tools/SearchApi.py new file mode 100644 index 000000000..53da6c741 --- /dev/null +++ b/src/backend/langflow/components/tools/SearchApi.py @@ -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 diff --git a/src/backend/langflow/services/chat/utils.py b/src/backend/langflow/services/chat/utils.py index 85e6cdcd5..0562b9df2 100644 --- a/src/backend/langflow/services/chat/utils.py +++ b/src/backend/langflow/services/chat/utils.py @@ -3,12 +3,10 @@ from typing import Any from langchain.agents import AgentExecutor from langchain.chains.base import Chain from langchain_core.runnables import Runnable -from loguru import logger - from langflow.api.v1.schemas import ChatMessage from langflow.interface.utils import try_setting_streaming_options from langflow.processing.base import get_result_and_steps -from langflow.utils.chat import ChatDefinition +from loguru import logger LANGCHAIN_RUNNABLES = (Chain, Runnable, AgentExecutor) @@ -40,20 +38,6 @@ async def process_graph( client_id=client_id, session_id=session_id, ) - elif isinstance(build_result, ChatDefinition): - raw_output = await run_build_result( - build_result, - chat_inputs, - client_id=client_id, - session_id=session_id, - ) - if isinstance(raw_output, dict): - if not build_result.output_key: - raise ValueError("No output key provided to ChatDefinition when returning a dict.") - result = raw_output[build_result.output_key] - else: - result = raw_output - intermediate_steps = [] else: raise TypeError(f"Unknown type {type(build_result)}") logger.debug("Generated result and intermediate_steps") diff --git a/src/backend/langflow/utils/chat.py b/src/backend/langflow/utils/chat.py deleted file mode 100644 index e1621bdab..000000000 --- a/src/backend/langflow/utils/chat.py +++ /dev/null @@ -1,34 +0,0 @@ -from typing import Any, Callable, Optional, Union - -from langchain_core.prompts import PromptTemplate as LCPromptTemplate -from langflow.utils.prompt import GenericPromptTemplate -from llama_index.prompts import PromptTemplate as LIPromptTemplate - -PromptTemplate = Union[LCPromptTemplate, LIPromptTemplate] - - -class ChatDefinition: - def __init__( - self, - func: Callable, - inputs: list[str], - output_key: Optional[str] = None, - prompt_template: Optional[PromptTemplate] = None, - ): - self.func = func - self.input_keys = inputs - self.output_key = output_key - self.prompt_template = prompt_template - - @classmethod - def from_prompt_template(cls, prompt_template: PromptTemplate, func: Callable, output_key: Optional[str] = None): - prompt = GenericPromptTemplate(prompt_template) - return cls( - func=func, - inputs=prompt.input_keys, - output_key=output_key, - prompt_template=prompt_template, - ) - - def __call__(self, inputs: dict, callbacks: Optional[Any] = None) -> dict: - return self.func(inputs, callbacks) diff --git a/src/backend/langflow/utils/prompt.py b/src/backend/langflow/utils/prompt.py deleted file mode 100644 index 871193f45..000000000 --- a/src/backend/langflow/utils/prompt.py +++ /dev/null @@ -1,58 +0,0 @@ -from typing import Any, Union - -from langchain_core.prompts import PromptTemplate as LCPromptTemplate -from llama_index.prompts import PromptTemplate as LIPromptTemplate - -PromptTemplateTypes = Union[LCPromptTemplate, LIPromptTemplate] - - -class GenericPromptTemplate: - def __init__(self, prompt_template: PromptTemplateTypes): - object.__setattr__(self, "prompt_template", prompt_template) - - @property - def input_keys(self): - prompt_template = object.__getattribute__(self, "prompt_template") - if isinstance(prompt_template, LCPromptTemplate): - return prompt_template.input_variables - elif isinstance(prompt_template, LIPromptTemplate): - return prompt_template.template_vars - else: - raise TypeError(f"Unknown prompt template type {type(prompt_template)}") - - def to_lc_prompt(self): - prompt_template = object.__getattribute__(self, "prompt_template") - if isinstance(prompt_template, LCPromptTemplate): - return prompt_template - elif isinstance(prompt_template, LIPromptTemplate): - return LCPromptTemplate.from_template(prompt_template.get_template()) - else: - raise TypeError(f"Unknown prompt template type {type(prompt_template)}") - - def to_li_prompt(self): - prompt_template = object.__getattribute__(self, "prompt_template") - if isinstance(prompt_template, LIPromptTemplate): - return prompt_template - elif isinstance(prompt_template, LCPromptTemplate): - return LIPromptTemplate(template=prompt_template.template) - else: - raise TypeError(f"Unknown prompt template type {type(prompt_template)}") - - def __or__(self, other): - prompt_template = object.__getattribute__(self, "prompt_template") - if isinstance(prompt_template, LIPromptTemplate): - return self.to_lc_prompt() | other - else: - raise TypeError(f"Unknown prompt template type {type(other)}") - - def __getattribute__(self, name: str) -> Any: - if name in { - "input_keys", - "to_lc_prompt", - "to_li_prompt", - "__or__", - "prompt_template", - }: - return object.__getattribute__(self, name) - prompt_template = object.__getattribute__(self, "prompt_template") - return getattr(prompt_template, name) diff --git a/src/frontend/src/App.tsx b/src/frontend/src/App.tsx index bb010a844..d8b2c8b50 100644 --- a/src/frontend/src/App.tsx +++ b/src/frontend/src/App.tsx @@ -21,6 +21,7 @@ import useAlertStore from "./stores/alertStore"; import { useDarkStore } from "./stores/darkStore"; import useFlowsManagerStore from "./stores/flowsManagerStore"; import { useTypesStore } from "./stores/typesStore"; +import { useStoreStore } from "./stores/storeStore"; export default function App() { const errorData = useAlertStore((state) => state.errorData); @@ -32,7 +33,6 @@ export default function App() { const successData = useAlertStore((state) => state.successData); const successOpen = useAlertStore((state) => state.successOpen); const setSuccessOpen = useAlertStore((state) => state.setSuccessOpen); - const loading = useAlertStore((state) => state.loading); const [fetchError, setFetchError] = useState(false); const isLoading = useFlowsManagerStore((state) => state.isLoading); @@ -122,9 +122,11 @@ export default function App() { const { isAuthenticated } = useContext(AuthContext); const refreshFlows = useFlowsManagerStore((state) => state.refreshFlows); + const fetchApiData = useStoreStore((state) => state.fetchApiData); const getTypes = useTypesStore((state) => state.getTypes); const refreshVersion = useDarkStore((state) => state.refreshVersion); const refreshStars = useDarkStore((state) => state.refreshStars); + const checkHasStore = useStoreStore((state) => state.checkHasStore); useEffect(() => { refreshStars(); @@ -136,6 +138,8 @@ export default function App() { getTypes().then(() => { refreshFlows(); }); + checkHasStore(); + fetchApiData(); } }, [isAuthenticated]); diff --git a/src/frontend/src/CustomNodes/GenericNode/index.tsx b/src/frontend/src/CustomNodes/GenericNode/index.tsx index 2ddd49b8f..0d344bd65 100644 --- a/src/frontend/src/CustomNodes/GenericNode/index.tsx +++ b/src/frontend/src/CustomNodes/GenericNode/index.tsx @@ -186,7 +186,7 @@ export default function GenericNode({
{iconNodeRender()} diff --git a/src/frontend/src/contexts/authContext.tsx b/src/frontend/src/contexts/authContext.tsx index 256712303..f0c8ec1d6 100644 --- a/src/frontend/src/contexts/authContext.tsx +++ b/src/frontend/src/contexts/authContext.tsx @@ -7,6 +7,7 @@ import { requestLogout, } from "../controllers/API"; import useAlertStore from "../stores/alertStore"; +import useFlowsManagerStore from "../stores/flowsManagerStore"; import { Users } from "../types/api"; import { AuthContextType } from "../types/contexts/auth"; @@ -79,6 +80,7 @@ export function AuthProvider({ children }): React.ReactElement { getUser(); } else { setLoading(false); + useFlowsManagerStore.setState({ isLoading: false }); } }); }, [setUserData, setLoading, autoLogin, setIsAdmin]); diff --git a/src/frontend/src/icons/VectaraIcon/Vectara.jsx b/src/frontend/src/icons/VectaraIcon/Vectara.jsx index 0566f82eb..378dc6964 100644 --- a/src/frontend/src/icons/VectaraIcon/Vectara.jsx +++ b/src/frontend/src/icons/VectaraIcon/Vectara.jsx @@ -1,1074 +1,83 @@ -const SvgVectara = (props) => ( - <> - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - +export const SvgVectara = (props) => ( + + + + + + + + + + + + + + + + + + + + + + + + + + + + + ); export default SvgVectara; diff --git a/src/frontend/src/icons/VectaraIcon/vectara.svg b/src/frontend/src/icons/VectaraIcon/vectara.svg index 1faafd320..c111a3aeb 100644 --- a/src/frontend/src/icons/VectaraIcon/vectara.svg +++ b/src/frontend/src/icons/VectaraIcon/vectara.svg @@ -1,252 +1,80 @@ - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - + + + + + + + + + + + + + + + + + + + + + + + + + + + + + \ No newline at end of file diff --git a/src/frontend/src/pages/FlowPage/components/nodeToolbarComponent/index.tsx b/src/frontend/src/pages/FlowPage/components/nodeToolbarComponent/index.tsx index e25544bdf..ff341a967 100644 --- a/src/frontend/src/pages/FlowPage/components/nodeToolbarComponent/index.tsx +++ b/src/frontend/src/pages/FlowPage/components/nodeToolbarComponent/index.tsx @@ -172,16 +172,16 @@ export default function NodeToolbarComponent({ - {hasStore && ( - + {hasStore && ( +