diff --git a/.github/dependabot.yml b/.github/dependabot.yml new file mode 100644 index 000000000..153590eae --- /dev/null +++ b/.github/dependabot.yml @@ -0,0 +1,11 @@ +# Set update schedule for GitHub Actions + +version: 2 +updates: + + - package-ecosystem: "github-actions" + directory: "/" + schedule: + # Check for updates to GitHub Actions every week + interval: "monthly" + diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index a34aedc32..d4a67f8f4 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -16,10 +16,10 @@ jobs: OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }} steps: - name: Checkout code - uses: actions/checkout@v2 + uses: actions/checkout@v4 - name: Cache Docker layers - uses: actions/cache@v2 + uses: actions/cache@v4 with: path: /tmp/.buildx-cache key: ${{ runner.os }}-buildx-${{ github.sha }} diff --git a/.github/workflows/codeql.yml b/.github/workflows/codeql.yml index b480496ef..c7975830d 100644 --- a/.github/workflows/codeql.yml +++ b/.github/workflows/codeql.yml @@ -30,11 +30,11 @@ jobs: steps: - name: Checkout repository - uses: actions/checkout@v3 + uses: actions/checkout@v4 # Initializes the CodeQL tools for scanning. - name: Initialize CodeQL - uses: github/codeql-action/init@v2 + uses: github/codeql-action/init@v3 with: languages: ${{ matrix.language }} # If you wish to specify custom queries, you can do so here or in a config file. @@ -48,7 +48,7 @@ jobs: # Autobuild attempts to build any compiled languages (C/C++, C#, Go, Java, or Swift). # If this step fails, then you should remove it and run the build manually (see below) - name: Autobuild - uses: github/codeql-action/autobuild@v2 + uses: github/codeql-action/autobuild@v3 # ℹ️ Command-line programs to run using the OS shell. # πŸ“š See https://docs.github.com/en/actions/using-workflows/workflow-syntax-for-github-actions#jobsjob_idstepsrun @@ -61,6 +61,6 @@ jobs: # ./location_of_script_within_repo/buildscript.sh - name: Perform CodeQL Analysis - uses: github/codeql-action/analyze@v2 + uses: github/codeql-action/analyze@v3 with: category: "/language:${{matrix.language}}" diff --git a/.github/workflows/deploy_gh-pages.yml b/.github/workflows/deploy_gh-pages.yml index ffb52f941..aec8a39c8 100644 --- a/.github/workflows/deploy_gh-pages.yml +++ b/.github/workflows/deploy_gh-pages.yml @@ -12,8 +12,8 @@ jobs: name: Deploy to GitHub Pages runs-on: ubuntu-latest steps: - - uses: actions/checkout@v3 - - uses: actions/setup-node@v3 + - uses: actions/checkout@v4 + - uses: actions/setup-node@v4 with: node-version: 18 cache: npm diff --git a/.github/workflows/lint.yml b/.github/workflows/lint.yml index 58d953e9e..64d06a313 100644 --- a/.github/workflows/lint.yml +++ b/.github/workflows/lint.yml @@ -16,13 +16,14 @@ jobs: python-version: - "3.9" - "3.10" + - "3.11" steps: - - uses: actions/checkout@v3 + - uses: actions/checkout@v4 - name: Install poetry run: | pipx install poetry==$POETRY_VERSION - name: Set up Python ${{ matrix.python-version }} - uses: actions/setup-python@v4 + uses: actions/setup-python@v5 with: python-version: ${{ matrix.python-version }} cache: poetry diff --git a/.github/workflows/pre-release.yml b/.github/workflows/pre-release.yml index da449dae3..58bdd219e 100644 --- a/.github/workflows/pre-release.yml +++ b/.github/workflows/pre-release.yml @@ -18,11 +18,11 @@ jobs: if: ${{ (github.event.pull_request.merged == true) && contains(github.event.pull_request.labels.*.name, 'pre-release') }} runs-on: ubuntu-latest steps: - - uses: actions/checkout@v3 + - uses: actions/checkout@v4 - name: Install poetry run: pipx install poetry==$POETRY_VERSION - name: Set up Python 3.10 - uses: actions/setup-python@v4 + uses: actions/setup-python@v5 with: python-version: "3.10" cache: "poetry" diff --git a/.github/workflows/release.yml b/.github/workflows/release.yml index b14fbc17b..21d8d27eb 100644 --- a/.github/workflows/release.yml +++ b/.github/workflows/release.yml @@ -17,11 +17,11 @@ jobs: if: ${{ (github.event.pull_request.merged == true) && contains(github.event.pull_request.labels.*.name, 'Release') }} runs-on: ubuntu-latest steps: - - uses: actions/checkout@v3 + - uses: actions/checkout@v4 - name: Install poetry run: pipx install poetry==$POETRY_VERSION - name: Set up Python 3.10 - uses: actions/setup-python@v4 + uses: actions/setup-python@v5 with: python-version: "3.10" cache: "poetry" diff --git a/.github/workflows/test.yml b/.github/workflows/test.yml index bc2e193c6..93ec5bf7e 100644 --- a/.github/workflows/test.yml +++ b/.github/workflows/test.yml @@ -16,14 +16,15 @@ jobs: matrix: python-version: - "3.10" + - "3.11" env: OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }} steps: - - uses: actions/checkout@v3 + - uses: actions/checkout@v4 - name: Install poetry run: pipx install poetry==$POETRY_VERSION - name: Set up Python ${{ matrix.python-version }} - uses: actions/setup-python@v4 + uses: actions/setup-python@v5 with: python-version: ${{ matrix.python-version }} cache: "poetry" diff --git a/README.md b/README.md index 53ce90086..72bb7fcc6 100644 --- a/README.md +++ b/README.md @@ -1,46 +1,27 @@ - + # ⛓️ Langflow -~ An effortless way to experiment and prototype [LangChain](https://github.com/hwchase17/langchain) pipelines ~ +

Discover a simpler & smarter way to build around Foundation Models

-

-GitHub Contributors -GitHub Last Commit - -GitHub Issues -GitHub Pull Requests -Github License -

+[![Release Notes](https://img.shields.io/github/release/logspace-ai/langflow)](https://github.com/logspace-ai/langflow/releases) +[![Contributors](https://img.shields.io/github/contributors/logspace-ai/langflow)](https://github.com/logspace-ai/langflow/contributors) +[![Last Commit](https://img.shields.io/github/last-commit/logspace-ai/langflow)](https://github.com/logspace-ai/langflow/last-commit) +[![Open Issues](https://img.shields.io/github/issues-raw/logspace-ai/langflow)](https://github.com/logspace-ai/langflow/issues) +[![LRepo-size](https://img.shields.io/github/repo-size/logspace-ai/langflow)](https://github.com/logspace-ai/langflow/repo-size) +[![Open in Dev Containers](https://img.shields.io/static/v1?label=Dev%20Containers&message=Open&color=blue&logo=visualstudiocode)](https://vscode.dev/redirect?url=vscode://ms-vscode-remote.remote-containers/cloneInVolume?url=https://github.com/logspace-ai/langflow) +[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT) +[![GitHub star chart](https://img.shields.io/github/stars/logspace-ai/langflow?style=social)](https://star-history.com/#logspace-ai/langflow) +[![GitHub fork](https://img.shields.io/github/forks/logspace-ai/langflow?style=social)](https://github.com/logspace-ai/langflow/fork) +[![Twitter](https://img.shields.io/twitter/url/https/twitter.com/langflow_ai.svg?style=social&label=Follow%20%40langflow_ai)](https://twitter.com/langflow_ai) +[![](https://dcbadge.vercel.app/api/server/EqksyE2EX9?compact=true&style=flat)](https://discord.com/invite/EqksyE2EX9) +[![HuggingFace Spaces](https://huggingface.co/datasets/huggingface/badges/raw/main/open-in-hf-spaces-sm.svg)](https://huggingface.co/spaces/Logspace/Langflow) +[![Open in GitHub Codespaces](https://github.com/codespaces/badge.svg)](https://codespaces.new/logspace-ai/langflow) -

-Discord Server -HuggingFace Spaces -

+The easiest way to create and customize your flow - - -

-

- -# Table of Contents - -- [⛓️ Langflow](#️-langflow) -- [Table of Contents](#table-of-contents) -- [πŸ“¦ Installation](#-installation) - - [Locally](#locally) - - [HuggingFace Spaces](#huggingface-spaces) -- [πŸ–₯️ Command Line Interface (CLI)](#️-command-line-interface-cli) - - [Usage](#usage) - - [Environment Variables](#environment-variables) -- [Deployment](#deployment) - - [Deploy Langflow on Google Cloud Platform](#deploy-langflow-on-google-cloud-platform) - - [Deploy on Railway](#deploy-on-railway) - - [Deploy on Render](#deploy-on-render) -- [🎨 Creating Flows](#-creating-flows) -- [πŸ‘‹ Contributing](#-contributing) -- [πŸ“„ License](#-license) + # πŸ“¦ Installation @@ -65,7 +46,7 @@ This will install the following dependencies: - [llama-cpp-python](https://github.com/abetlen/llama-cpp-python) - [sentence-transformers](https://github.com/UKPLab/sentence-transformers) -You can still use models from projects like LocalAI +You can still use models from projects like LocalAI, Ollama, LM Studio, Jan and others. Next, run: @@ -117,7 +98,7 @@ Each option is detailed below: - `--backend-only`: This parameter, with a default value of `False`, allows running only the backend server without the frontend. It can also be set using the `LANGFLOW_BACKEND_ONLY` environment variable. - `--store`: This parameter, with a default value of `True`, enables the store features, use `--no-store` to deactivate it. It can be configured using the `LANGFLOW_STORE` environment variable. -These parameters are important for users who need to customize the behavior of Langflow, especially in development or specialized deployment scenarios. You may want to update the documentation to include these parameters for completeness and clarity. +These parameters are important for users who need to customize the behavior of Langflow, especially in development or specialized deployment scenarios. ### Environment Variables @@ -147,19 +128,19 @@ Alternatively, click the **"Open in Cloud Shell"** button below to launch Google # 🎨 Creating Flows -Creating flows with Langflow is easy. Simply drag sidebar components onto the canvas and connect them together to create your pipeline. Langflow provides a range of [LangChain components](https://python.langchain.com/docs/integrations/components) to choose from, including LLMs, prompt serializers, agents, and chains. +Creating flows with Langflow is easy. Simply drag components from the sidebar onto the canvas and connect them to start building your application. -Explore by editing prompt parameters, link chains and agents, track an agent's thought process, and export your flow. +Explore by editing prompt parameters, grouping components into a single high-level component, and building your own Custom Components. -Once you're done, you can export your flow as a JSON file to use with LangChain. -To do so, click the "Export" button in the top right corner of the canvas, then -in Python, you can load the flow with: +Once you’re done, you can export your flow as a JSON file. + +Load the flow with: ```python from langflow import load_flow_from_json flow = load_flow_from_json("path/to/flow.json") -# Now you can use it like any chain +# Now you can use it flow("Hey, have you heard of Langflow?") ``` @@ -167,15 +148,16 @@ flow("Hey, have you heard of Langflow?") We welcome contributions from developers of all levels to our open-source project on GitHub. If you'd like to contribute, please check our [contributing guidelines](./CONTRIBUTING.md) and help make Langflow more accessible. +Join our [Discord](https://discord.com/invite/EqksyE2EX9) server to ask questions, make suggestions, and showcase your projects! 🦾 + --- -Join our [Discord](https://discord.com/invite/EqksyE2EX9) server to ask questions, make suggestions and showcase your projects! 🦾 - -

-

- [![Star History Chart](https://api.star-history.com/svg?repos=logspace-ai/langflow&type=Timeline)](https://star-history.com/#logspace-ai/langflow&Date) +# 🌟 Contributors + +[![langflow contributors](https://contrib.rocks/image?repo=logspace-ai/langflow)](https://github.com/logspace-ai/langflow/graphs/contributors) + # πŸ“„ License Langflow is released under the MIT License. See the LICENSE file for details. diff --git a/docker-compose.yml b/docker-compose.yml index 7616600da..c74447899 100644 --- a/docker-compose.yml +++ b/docker-compose.yml @@ -22,6 +22,8 @@ services: dockerfile: ./cdk.Dockerfile args: - BACKEND_URL=http://backend:7860 + depends_on: + - backend environment: - VITE_PROXY_TARGET=http://backend:7860 ports: diff --git a/docs/docs/components/custom.mdx b/docs/docs/components/custom.mdx index 84823e341..d8c6ff2f5 100644 --- a/docs/docs/components/custom.mdx +++ b/docs/docs/components/custom.mdx @@ -81,7 +81,18 @@ The CustomComponent class serves as the foundation for creating custom component | _`required: bool`_ | Makes the field required. | | _`info: str`_ | Adds a tooltip to the field. | | _`file_types: List[str]`_ | This is a requirement if the _`field_type`_ is _file_. Defines which file types will be accepted. For example, _json_, _yaml_ or _yml_. | - | _`range_spec: langflow.field_typing.RangeSpec`_ | This is a requirement if the _`field_type`_ is _`float`_. Defines the range of values accepted and the step size. If none is defined, the default is _`[-1, 1, 0.1]`_. | + | _`range_spec: langflow.field_typing.RangeSpec`_ | This is a requirement if the _`field_type`_ is _`float`_. Defines the range of values accepted and the step size. If none is defined, the default is _`[-1, 1, 0.1]`_. | + | _`title_case: bool`_ | Formats the name of the field when _`display_name`_ is not defined. Set it to False to keep the name as you set it in the _`build`_ method. | + + + + Keys _`options`_ and _`value`_ can receive a method or function that returns a list of strings or a string, respectively. This is useful when you want to dynamically generate the options or the default value of a field. A refresh button will appear next to the field in the component, allowing the user to update the options or the default value. + + + + + + - The CustomComponent class also provides helpful methods for specific tasks (e.g., to load and use other flows from the Langflow platform): | Method Name | Description | @@ -94,7 +105,9 @@ The CustomComponent class serves as the foundation for creating custom component | Attribute Name | Description | | -------------- | ----------------------------------------------------------------------------- | - | _`repr_value`_ | Displays the value it receives in the _`build`_ method. Useful for debugging. | + | _`status`_ | Displays the value it receives in the _`build`_ method. Useful for debugging. | + | _`field_order`_ | Defines the order the fields will be displayed in the canvas. | + | _`icon`_ | Defines the emoji (for example, _`:rocket:`_) that will be displayed in the canvas. | diff --git a/docs/docs/index.mdx b/docs/docs/index.mdx index f0fee5009..512d2578b 100644 --- a/docs/docs/index.mdx +++ b/docs/docs/index.mdx @@ -1,6 +1,6 @@ # πŸ‘‹ Welcome to Langflow -Langflow is an easy way to prototype [LangChain](https://github.com/hwchase17/langchain) flows. The drag-and-drop feature allows quick and effortless experimentation, while the built-in chat interface facilitates real-time interaction. It provides options to edit prompt parameters, create chains and agents, track thought processes, and export flows. +Langflow is an easy way to create flows. The drag-and-drop feature allows quick and effortless experimentation, while the built-in chat interface facilitates real-time interaction. It provides options to edit prompt parameters, create chains and agents, track thought processes, and export flows. import ThemedImage from "@theme/ThemedImage"; import useBaseUrl from "@docusaurus/useBaseUrl"; @@ -11,7 +11,7 @@ import ZoomableImage from "/src/theme/ZoomableImage.js"; diff --git a/docs/static/img/new_langflow_demo.gif b/docs/static/img/new_langflow_demo.gif new file mode 100644 index 000000000..ab80acf3e Binary files /dev/null and b/docs/static/img/new_langflow_demo.gif differ diff --git a/img/langflow-demo.gif b/img/langflow-demo.gif deleted file mode 100644 index 4cea58628..000000000 Binary files a/img/langflow-demo.gif and /dev/null differ diff --git a/img/langflow-screen.png b/img/langflow-screen.png deleted file mode 100644 index 49ef0b053..000000000 Binary files a/img/langflow-screen.png and /dev/null differ diff --git a/poetry.lock b/poetry.lock index 15a1365a0..5c07149b6 100644 --- a/poetry.lock +++ b/poetry.lock @@ -1,16 +1,5 @@ # This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand. -[[package]] -name = "aiofiles" -version = "23.2.1" -description = "File support for asyncio." -optional = false -python-versions = ">=3.7" -files = [ - {file = "aiofiles-23.2.1-py3-none-any.whl", hash = "sha256:19297512c647d4b27a2cf7c34caa7e405c0d60b5560618a29a9fe027b18b0107"}, - {file = "aiofiles-23.2.1.tar.gz", hash = "sha256:84ec2218d8419404abcb9f0c02df3f34c6e0a68ed41072acfb1cef5cbc29051a"}, -] - [[package]] name = "aiohttp" version = "3.9.3" @@ -132,20 +121,6 @@ files = [ [package.dependencies] frozenlist = ">=1.1.0" -[[package]] -name = "aiostream" -version = "0.5.2" -description = "Generator-based operators for asynchronous iteration" -optional = false -python-versions = ">=3.8" -files = [ - {file = "aiostream-0.5.2-py3-none-any.whl", hash = "sha256:054660370be9d37f6fe3ece3851009240416bd082e469fd90cc8673d3818cf71"}, - {file = "aiostream-0.5.2.tar.gz", hash = "sha256:b71b519a2d66c38f0872403ab86417955b77352f08d9ad02ad46fc3926b389f4"}, -] - -[package.dependencies] -typing-extensions = "*" - [[package]] name = "alembic" version = "1.13.1" @@ -192,13 +167,13 @@ files = [ [[package]] name = "anthropic" -version = "0.15.0" +version = "0.15.1" description = "The official Python library for the anthropic API" optional = false python-versions = ">=3.7" files = [ - {file = "anthropic-0.15.0-py3-none-any.whl", hash = "sha256:e864c447f5368a78169d694c2dd48f745f18ff4024b7497659b5259a6451e669"}, - {file = "anthropic-0.15.0.tar.gz", hash = "sha256:c8d8b119a02416c8e0658afce44dc9d42fba8b6227f35b7d2ccc422ec881e3b4"}, + {file = "anthropic-0.15.1-py3-none-any.whl", hash = "sha256:50344141ba12580dac829acc1a6921905e975393cca16c99b796a63903e997b9"}, + {file = "anthropic-0.15.1.tar.gz", hash = "sha256:f188037c09a86c993196967a7c4ca7b0c30a7f51b261a9360528b5104069c088"}, ] [package.dependencies] @@ -216,13 +191,13 @@ vertex = ["google-auth (>=2,<3)"] [[package]] name = "anyio" -version = "4.2.0" +version = "4.3.0" description = "High level compatibility layer for multiple asynchronous event loop implementations" optional = false python-versions = ">=3.8" files = [ - {file = "anyio-4.2.0-py3-none-any.whl", hash = "sha256:745843b39e829e108e518c489b31dc757de7d2131d53fac32bd8df268227bfee"}, - {file = "anyio-4.2.0.tar.gz", hash = "sha256:e1875bb4b4e2de1669f4bc7869b6d3f54231cdced71605e6e64c9be77e3be50f"}, + {file = "anyio-4.3.0-py3-none-any.whl", hash = "sha256:048e05d0f6caeed70d731f3db756d35dcc1f35747c8c403364a8332c630441b8"}, + {file = "anyio-4.3.0.tar.gz", hash = "sha256:f75253795a87df48568485fd18cdd2a3fa5c4f7c5be8e5e36637733fce06fed6"}, ] [package.dependencies] @@ -238,15 +213,32 @@ trio = ["trio (>=0.23)"] [[package]] name = "appnope" -version = "0.1.3" +version = "0.1.4" description = "Disable App Nap on macOS >= 10.9" optional = false -python-versions = "*" +python-versions = ">=3.6" files = [ - {file = "appnope-0.1.3-py2.py3-none-any.whl", hash = "sha256:265a455292d0bd8a72453494fa24df5a11eb18373a60c7c0430889f22548605e"}, - {file = "appnope-0.1.3.tar.gz", hash = "sha256:02bd91c4de869fbb1e1c50aafc4098827a7a54ab2f39d9dcba6c9547ed920e24"}, + {file = "appnope-0.1.4-py2.py3-none-any.whl", hash = "sha256:502575ee11cd7a28c0205f379b525beefebab9d161b7c964670864014ed7213c"}, + {file = "appnope-0.1.4.tar.gz", hash = "sha256:1de3860566df9caf38f01f86f65e0e13e379af54f9e4bee1e66b48f2efffd1ee"}, ] +[[package]] +name = "asgiref" +version = "3.7.2" +description = "ASGI specs, helper code, and adapters" +optional = false +python-versions = ">=3.7" +files = [ + {file = "asgiref-3.7.2-py3-none-any.whl", hash = "sha256:89b2ef2247e3b562a16eef663bc0e2e703ec6468e2fa8a5cd61cd449786d4f6e"}, + {file = "asgiref-3.7.2.tar.gz", hash = "sha256:9e0ce3aa93a819ba5b45120216b23878cf6e8525eb3848653452b4192b92afed"}, +] + +[package.dependencies] +typing-extensions = {version = ">=4", markers = "python_version < \"3.11\""} + +[package.extras] +tests = ["mypy 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b266bc71b..de6bd5c7a 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "langflow" -version = "0.6.6" +version = "0.6.7" description = "A Python package with a built-in web application" authors = ["Logspace "] maintainers = [ @@ -25,17 +25,17 @@ documentation = "https://docs.langflow.org" langflow = "langflow.__main__:main" [tool.poetry.dependencies] -python = ">=3.9,<3.11" +python = ">=3.9,<3.12" fastapi = "^0.109.0" uvicorn = "^0.27.0" beautifulsoup4 = "^4.12.2" google-search-results = "^2.4.1" -google-api-python-client = "^2.79.0" +google-api-python-client = "^2.118.0" typer = "^0.9.0" gunicorn = "^21.2.0" langchain = "~0.1.0" -openai = "^1.11.0" -pandas = "2.0.3" +openai = "^1.12.0" +pandas = "2.2.0" chromadb = "^0.4.0" huggingface-hub = { version = "^0.20.0", extras = ["inference"] } rich = "^13.7.0" @@ -49,16 +49,15 @@ fake-useragent = "^1.4.0" docstring-parser = "^0.15" psycopg2-binary = "^2.9.6" pyarrow = "^14.0.0" -tiktoken = "~0.5.0" +tiktoken = "~0.6.0" wikipedia = "^1.4.0" qdrant-client = "^1.7.0" websockets = "^10.3" weaviate-client = "*" -jina = "*" sentence-transformers = { version = "^2.3.1", optional = true } ctransformers = { version = "^0.2.10", optional = true } -cohere = "^4.45.0" -python-multipart = "^0.0.6" +cohere = "^4.47.0" +python-multipart = "^0.0.7" sqlmodel = "^0.0.14" faiss-cpu = "^1.7.4" anthropic = "^0.15.0" @@ -67,17 +66,17 @@ multiprocess = "^0.70.14" cachetools = "^5.3.1" types-cachetools = "^5.3.0.5" platformdirs = "^4.2.0" -pinecone-client = "^2.2.2" +pinecone-client = "^3.0.3" pymongo = "^4.6.0" supabase = "^2.3.0" certifi = "^2023.11.17" -google-cloud-aiplatform = "^1.36.0" +google-cloud-aiplatform = "^1.42.0" psycopg = "^3.1.9" psycopg-binary = "^3.1.9" fastavro = "^1.8.0" langchain-experimental = "*" celery = { extras = ["redis"], version = "^5.3.6", optional = true } -redis = { version = "^4.6.0", optional = true } +redis = { version = "^5.0.1", optional = true } flower = { version = "^2.0.0", optional = true } alembic = "^1.13.0" passlib = "^1.7.4" @@ -90,45 +89,45 @@ zep-python = "*" pywin32 = { version = "^306", markers = "sys_platform == 'win32'" } loguru = "^0.7.1" langfuse = "^2.9.0" -pillow = "^10.0.0" -metal-sdk = "^2.4.0" +pillow = "^10.2.0" +metal-sdk = "^2.5.0" markupsafe = "^2.1.3" -extract-msg = "^0.45.0" +extract-msg = "^0.47.0" # jq is not available for windows jq = { version = "^1.6.0", markers = "sys_platform != 'win32'" } boto3 = "^1.34.0" numexpr = "^2.8.6" -qianfan = "0.2.0" +qianfan = "0.3.0" pgvector = "^0.2.3" pyautogen = "^0.2.0" langchain-google-genai = "^0.0.6" -elasticsearch = "^8.11.1" +elasticsearch = "^8.12.0" pytube = "^15.0.0" -llama-index = "^0.9.44" -langchain-openai = "^0.0.5" +llama-index = "0.9.48" +langchain-openai = "^0.0.6" [tool.poetry.group.dev.dependencies] pytest-asyncio = "^0.23.1" types-redis = "^4.6.0.5" -ipykernel = "^6.27.0" +ipykernel = "^6.29.0" mypy = "^1.8.0" -ruff = "^0.1.5" +ruff = "^0.2.1" httpx = "*" -pytest = "^7.4.2" +pytest = "^8.0.0" types-requests = "^2.31.0" requests = "^2.31.0" pytest-cov = "^4.1.0" -pandas-stubs = "^2.0.0.230412" -types-pillow = "^9.5.0.2" +pandas-stubs = "^2.1.4.231227" +types-pillow = "^10.2.0.20240213" types-pyyaml = "^6.0.12.8" types-python-jose = "^3.3.4.8" types-passlib = "^1.7.7.13" -locust = "^2.19.1" +locust = "^2.23.1" pytest-mock = "^3.12.0" pytest-xdist = "^3.5.0" types-pywin32 = "^306.0.0.4" types-google-cloud-ndb = "^2.2.0.0" -pytest-sugar = "^0.9.7" +pytest-sugar = "^1.0.0" pytest-instafail = "^0.5.0" diff --git a/src/backend/langflow/api/v1/callback.py b/src/backend/langflow/api/v1/callback.py index a838a8750..86409c767 100644 --- a/src/backend/langflow/api/v1/callback.py +++ b/src/backend/langflow/api/v1/callback.py @@ -2,13 +2,12 @@ import asyncio from typing import Any, Dict, List, Optional from uuid import UUID -from langchain.callbacks.base import AsyncCallbackHandler, BaseCallbackHandler from langchain.schema import AgentAction, AgentFinish -from loguru import logger - +from langchain_core.callbacks.base import AsyncCallbackHandler, BaseCallbackHandler from langflow.api.v1.schemas import ChatResponse, PromptResponse from langflow.services.deps import get_chat_service from langflow.utils.util import remove_ansi_escape_codes +from loguru import logger # https://github.com/hwchase17/chat-langchain/blob/master/callback.py diff --git a/src/backend/langflow/api/v1/login.py b/src/backend/langflow/api/v1/login.py index 29db59855..2055c18c2 100644 --- a/src/backend/langflow/api/v1/login.py +++ b/src/backend/langflow/api/v1/login.py @@ -1,7 +1,5 @@ from fastapi import APIRouter, Depends, HTTPException, Request, Response, status from fastapi.security import OAuth2PasswordRequestForm -from sqlmodel import Session - from langflow.api.v1.schemas import Token from langflow.services.auth.utils import ( authenticate_user, @@ -10,6 +8,7 @@ from langflow.services.auth.utils import ( create_user_tokens, ) from langflow.services.deps import get_session, get_settings_service +from sqlmodel import Session router = APIRouter(tags=["Login"]) @@ -20,7 +19,9 @@ async def login_to_get_access_token( form_data: OAuth2PasswordRequestForm = Depends(), db: Session = Depends(get_session), # _: Session = Depends(get_current_active_user) + settings_service=Depends(get_settings_service), ): + auth_settings = settings_service.auth_settings try: user = authenticate_user(form_data.username, form_data.password, db) except Exception as exc: @@ -33,8 +34,20 @@ async def login_to_get_access_token( if user: tokens = create_user_tokens(user_id=user.id, db=db, update_last_login=True) - response.set_cookie("refresh_token_lf", tokens["refresh_token"], httponly=True) - response.set_cookie("access_token_lf", tokens["access_token"], httponly=False) + response.set_cookie( + "refresh_token_lf", + tokens["refresh_token"], + httponly=auth_settings.REFRESH_HTTPONLY, + samesite=auth_settings.REFRESH_SAME_SITE, + secure=auth_settings.REFRESH_SECURE, + ) + response.set_cookie( + "access_token_lf", + tokens["access_token"], + httponly=auth_settings.ACCESS_HTTPONLY, + samesite=auth_settings.ACCESS_SAME_SITE, + secure=auth_settings.ACCESS_SECURE, + ) return tokens else: raise HTTPException( @@ -46,11 +59,20 @@ async def login_to_get_access_token( @router.get("/auto_login") async def auto_login( - response: Response, db: Session = Depends(get_session), settings_service=Depends(get_settings_service) + response: Response, + db: Session = Depends(get_session), + settings_service=Depends(get_settings_service), ): + auth_settings = settings_service.auth_settings if settings_service.auth_settings.AUTO_LOGIN: tokens = create_user_longterm_token(db) - response.set_cookie("access_token_lf", tokens["access_token"], httponly=False) + response.set_cookie( + "access_token_lf", + tokens["access_token"], + httponly=auth_settings.ACCESS_HTTPONLY, + samesite=auth_settings.ACCESS_SAME_SITE, + secure=auth_settings.ACCESS_SECURE, + ) return tokens raise HTTPException( @@ -63,12 +85,27 @@ async def auto_login( @router.post("/refresh") -async def refresh_token(request: Request, response: Response): +async def refresh_token(request: Request, response: Response, settings_service=Depends(get_settings_service)): + auth_settings = settings_service.auth_settings + token = request.cookies.get("refresh_token_lf") + if token: tokens = create_refresh_token(token) - response.set_cookie("refresh_token_lf", tokens["refresh_token"], httponly=True) - response.set_cookie("access_token_lf", tokens["access_token"], httponly=False) + response.set_cookie( + "refresh_token_lf", + tokens["refresh_token"], + httponly=auth_settings.REFRESH_TOKEN_HTTPONLY, + samesite=auth_settings.REFRESH_SAME_SITE, + secure=auth_settings.REFRESH_SECURE, + ) + response.set_cookie( + "access_token_lf", + tokens["access_token"], + httponly=auth_settings.ACCESS_HTTPONLY, + samesite=auth_settings.ACCESS_SAME_SITE, + secure=auth_settings.ACCESS_SECURE, + ) return tokens else: raise HTTPException( diff --git a/src/backend/langflow/components/chains/LLMCheckerChain.py b/src/backend/langflow/components/chains/LLMCheckerChain.py index cf5effac8..527cafbb7 100644 --- a/src/backend/langflow/components/chains/LLMCheckerChain.py +++ b/src/backend/langflow/components/chains/LLMCheckerChain.py @@ -1,10 +1,8 @@ -from langflow import CustomComponent +from typing import Callable, Union + from langchain.chains import LLMCheckerChain -from typing import Union, Callable -from langflow.field_typing import ( - BaseLanguageModel, - Chain, -) +from langflow import CustomComponent +from langflow.field_typing import BaseLanguageModel, Chain class LLMCheckerChainComponent(CustomComponent): @@ -21,4 +19,4 @@ class LLMCheckerChainComponent(CustomComponent): self, llm: BaseLanguageModel, ) -> Union[Chain, Callable]: - return LLMCheckerChain(llm=llm) + return LLMCheckerChain.from_llm(llm=llm) diff --git a/src/backend/langflow/components/documentloaders/DirectoryLoader.py b/src/backend/langflow/components/documentloaders/DirectoryLoader.py index 0b214dd34..5b0875126 100644 --- a/src/backend/langflow/components/documentloaders/DirectoryLoader.py +++ b/src/backend/langflow/components/documentloaders/DirectoryLoader.py @@ -1,6 +1,8 @@ -from langflow import CustomComponent +from typing import Any, Dict, List + from langchain.docstore.document import Document -from typing import Optional, Dict, Any +from langchain.document_loaders.directory import DirectoryLoader +from langflow import CustomComponent class DirectoryLoaderComponent(CustomComponent): @@ -23,20 +25,18 @@ class DirectoryLoaderComponent(CustomComponent): self, glob: str, path: str, - load_hidden: Optional[bool] = False, - max_concurrency: Optional[int] = 10, - metadata: Optional[dict] = {}, - recursive: Optional[bool] = True, - silent_errors: Optional[bool] = False, - use_multithreading: Optional[bool] = True, - ) -> Document: - return Document( + max_concurrency: int = 2, + load_hidden: bool = False, + recursive: bool = True, + silent_errors: bool = False, + use_multithreading: bool = True, + ) -> List[Document]: + return DirectoryLoader( glob=glob, path=path, load_hidden=load_hidden, max_concurrency=max_concurrency, - metadata=metadata, recursive=recursive, silent_errors=silent_errors, use_multithreading=use_multithreading, - ) + ).load() diff --git a/src/backend/langflow/components/embeddings/HuggingFaceInferenceAPIEmbeddings.py b/src/backend/langflow/components/embeddings/HuggingFaceInferenceAPIEmbeddings.py new file mode 100644 index 000000000..acc828d7f --- /dev/null +++ b/src/backend/langflow/components/embeddings/HuggingFaceInferenceAPIEmbeddings.py @@ -0,0 +1,42 @@ +from typing import Dict, Optional + +from langchain_community.embeddings.huggingface import HuggingFaceInferenceAPIEmbeddings +from langflow import CustomComponent +from pydantic.v1.types import SecretStr + + +class HuggingFaceInferenceAPIEmbeddingsComponent(CustomComponent): + display_name = "HuggingFaceInferenceAPIEmbeddings" + description = "HuggingFace sentence_transformers embedding models, API version." + documentation = "https://github.com/huggingface/text-embeddings-inference" + + def build_config(self): + return { + "api_key": {"display_name": "API Key", "password": True, "advanced": True}, + "api_url": {"display_name": "API URL", "advanced": True}, + "model_name": {"display_name": "Model Name"}, + "cache_folder": {"display_name": "Cache Folder", "advanced": True}, + "encode_kwargs": {"display_name": "Encode Kwargs", "advanced": True, "field_type": "dict"}, + "model_kwargs": {"display_name": "Model Kwargs", "field_type": "dict", "advanced": True}, + "multi_process": {"display_name": "Multi Process", "advanced": True}, + } + + def build( + self, + api_key: Optional[str] = "", + api_url: str = "http://localhost:8080", + model_name: str = "BAAI/bge-large-en-v1.5", + cache_folder: Optional[str] = None, + encode_kwargs: Optional[Dict] = {}, + model_kwargs: Optional[Dict] = {}, + multi_process: bool = False, + ) -> HuggingFaceInferenceAPIEmbeddings: + if api_key: + secret_api_key = SecretStr(api_key) + else: + raise ValueError("API Key is required") + return HuggingFaceInferenceAPIEmbeddings( + api_key=secret_api_key, + api_url=api_url, + model_name=model_name, + ) diff --git a/src/backend/langflow/components/embeddings/OpenAIEmbeddings.py b/src/backend/langflow/components/embeddings/OpenAIEmbeddings.py index 9ff91dd0e..ba6d634b8 100644 --- a/src/backend/langflow/components/embeddings/OpenAIEmbeddings.py +++ b/src/backend/langflow/components/embeddings/OpenAIEmbeddings.py @@ -1,9 +1,9 @@ from typing import Any, Callable, Dict, List, Optional, Union from langchain_openai.embeddings.base import OpenAIEmbeddings - from langflow import CustomComponent from langflow.field_typing import NestedDict +from pydantic.v1.types import SecretStr class OpenAIEmbeddingsComponent(CustomComponent): @@ -67,7 +67,7 @@ class OpenAIEmbeddingsComponent(CustomComponent): }, "skip_empty": {"display_name": "Skip Empty", "advanced": True}, "tiktoken_model_name": {"display_name": "TikToken Model Name"}, - "tikToken_enable": {"display_name": "TikToken Enable"}, + "tikToken_enable": {"display_name": "TikToken Enable", "advanced": True}, } def build( @@ -92,15 +92,21 @@ class OpenAIEmbeddingsComponent(CustomComponent): request_timeout: Optional[float] = None, show_progress_bar: bool = False, skip_empty: bool = False, - tikToken_enable: bool = True, + tiktoken_enable: bool = True, tiktoken_model_name: Optional[str] = None, ) -> Union[OpenAIEmbeddings, Callable]: + # This is to avoid errors with Vector Stores (e.g Chroma) + if disallowed_special == ["all"]: + disallowed_special = "all" # type: ignore + + api_key = SecretStr(openai_api_key) if openai_api_key else None + return OpenAIEmbeddings( - tiktoken_enabled=tikToken_enable, + tiktoken_enabled=tiktoken_enable, default_headers=default_headers, default_query=default_query, allowed_special=set(allowed_special), - disallowed_special=set(disallowed_special), + disallowed_special="all", chunk_size=chunk_size, client=client, deployment=deployment, @@ -109,7 +115,7 @@ class OpenAIEmbeddingsComponent(CustomComponent): model=model, model_kwargs=model_kwargs, base_url=openai_api_base, - api_key=openai_api_key, + api_key=api_key, openai_api_type=openai_api_type, api_version=openai_api_version, organization=openai_organization, diff --git a/src/backend/langflow/components/llms/ChatAnthropic.py b/src/backend/langflow/components/llms/ChatAnthropic.py index 0bce33ab8..c0e376d16 100644 --- a/src/backend/langflow/components/llms/ChatAnthropic.py +++ b/src/backend/langflow/components/llms/ChatAnthropic.py @@ -1,4 +1,4 @@ -from pydantic import SecretStr +from pydantic.v1.types import SecretStr from langflow import CustomComponent from typing import Optional, Union, Callable from langflow.field_typing import BaseLanguageModel diff --git a/src/backend/langflow/components/llms/ChatLiteLLM.py b/src/backend/langflow/components/llms/ChatLiteLLM.py new file mode 100644 index 000000000..f2b7f7dc3 --- /dev/null +++ b/src/backend/langflow/components/llms/ChatLiteLLM.py @@ -0,0 +1,137 @@ +import os +from typing import Any, Callable, Dict, Optional, Union + +from langchain_community.chat_models.litellm import ChatLiteLLM, ChatLiteLLMException +from langflow import CustomComponent +from langflow.field_typing import BaseLanguageModel + + +class ChatLiteLLMComponent(CustomComponent): + display_name = "ChatLiteLLM" + description = "`LiteLLM` collection of large language models." + documentation = "https://python.langchain.com/docs/integrations/chat/litellm" + + def build_config(self): + return { + "model": { + "display_name": "Model name", + "field_type": "str", + "advanced": False, + "required": True, + "info": "The name of the model to use. For example, `gpt-3.5-turbo`.", + }, + "api_key": { + "display_name": "API key", + "field_type": "str", + "advanced": False, + "required": False, + "password": True, + }, + "streaming": { + "display_name": "Streaming", + "field_type": "bool", + "advanced": True, + "required": False, + "default": True, + }, + "temperature": { + "display_name": "Temperature", + "field_type": "float", + "advanced": False, + "required": False, + "default": 0.7, + }, + "model_kwargs": { + "display_name": "Model kwargs", + "field_type": "dict", + "advanced": True, + "required": False, + "default": {}, + }, + "top_p": { + "display_name": "Top p", + "field_type": "float", + "advanced": True, + "required": False, + }, + "top_k": { + "display_name": "Top k", + "field_type": "int", + "advanced": True, + "required": False, + }, + "n": { + "display_name": "N", + "field_type": "int", + "advanced": True, + "required": False, + "info": "Number of chat completions to generate for each prompt. " + "Note that the API may not return the full n completions if duplicates are generated.", + "default": 1, + }, + "max_tokens": { + "display_name": "Max tokens", + "field_type": "int", + "advanced": False, + "required": False, + "default": 256, + "info": "The maximum number of tokens to generate for each chat completion.", + }, + "max_retries": { + "display_name": "Max retries", + "field_type": "int", + "advanced": True, + "required": False, + "default": 6, + }, + "verbose": { + "display_name": "Verbose", + "field_type": "bool", + "advanced": True, + "required": False, + "default": False, + }, + } + + def build( + self, + model: str, + api_key: str, + streaming: bool = True, + temperature: Optional[float] = 0.7, + model_kwargs: Optional[Dict[str, Any]] = {}, + top_p: Optional[float] = None, + top_k: Optional[int] = None, + n: int = 1, + max_tokens: int = 256, + max_retries: int = 6, + verbose: bool = False, + ) -> Union[BaseLanguageModel, Callable]: + try: + import litellm # type: ignore + + litellm.drop_params = True + litellm.set_verbose = verbose + except ImportError: + raise ChatLiteLLMException( + "Could not import litellm python package. " "Please install it with `pip install litellm`" + ) + if api_key: + if "perplexity" in model: + os.environ["PERPLEXITYAI_API_KEY"] = api_key + elif "replicate" in model: + os.environ["REPLICATE_API_KEY"] = api_key + + LLM = ChatLiteLLM( + model=model, + client=None, + streaming=streaming, + temperature=temperature, + model_kwargs=model_kwargs if model_kwargs is not None else {}, + top_p=top_p, + top_k=top_k, + n=n, + max_tokens=max_tokens, + max_retries=max_retries, + ) + return LLM diff --git a/src/backend/langflow/components/llms/GoogleGenerativeAI.py b/src/backend/langflow/components/llms/GoogleGenerativeAI.py index 4faee52d6..2fa9002bb 100644 --- a/src/backend/langflow/components/llms/GoogleGenerativeAI.py +++ b/src/backend/langflow/components/llms/GoogleGenerativeAI.py @@ -1,9 +1,9 @@ from typing import Optional from langchain_google_genai import ChatGoogleGenerativeAI # type: ignore - from langflow import CustomComponent from langflow.field_typing import BaseLanguageModel, RangeSpec, TemplateField +from pydantic.v1.types import SecretStr class GoogleGenerativeAIComponent(CustomComponent): @@ -63,10 +63,10 @@ class GoogleGenerativeAIComponent(CustomComponent): ) -> BaseLanguageModel: return ChatGoogleGenerativeAI( model=model, - max_output_tokens=max_output_tokens or None, + max_output_tokens=max_output_tokens or None, # type: ignore temperature=temperature, top_k=top_k or None, - top_p=top_p or None, + top_p=top_p or None, # type: ignore n=n or 1, - google_api_key=google_api_key, + google_api_key=SecretStr(google_api_key), ) diff --git a/src/backend/langflow/components/llms/HuggingFaceEndpoints.py b/src/backend/langflow/components/llms/HuggingFaceEndpoints.py index 0d28d5b9b..579e3c0b3 100644 --- a/src/backend/langflow/components/llms/HuggingFaceEndpoints.py +++ b/src/backend/langflow/components/llms/HuggingFaceEndpoints.py @@ -1,7 +1,8 @@ from typing import Optional -from langflow import CustomComponent -from langchain.llms.huggingface_endpoint import HuggingFaceEndpoint + from langchain.llms.base import BaseLLM +from langchain.llms.huggingface_endpoint import HuggingFaceEndpoint +from langflow import CustomComponent class HuggingFaceEndpointsComponent(CustomComponent): @@ -31,11 +32,11 @@ class HuggingFaceEndpointsComponent(CustomComponent): model_kwargs: Optional[dict] = None, ) -> BaseLLM: try: - output = HuggingFaceEndpoint( + output = HuggingFaceEndpoint( # type: ignore endpoint_url=endpoint_url, task=task, huggingfacehub_api_token=huggingfacehub_api_token, - model_kwargs=model_kwargs, + model_kwargs=model_kwargs or {}, ) except Exception as e: raise ValueError("Could not connect to HuggingFace Endpoints API.") from e diff --git a/src/backend/langflow/components/textsplitters/CharacterTextSplitter.py b/src/backend/langflow/components/textsplitters/CharacterTextSplitter.py index d65c28dab..1bfd2d2e3 100644 --- a/src/backend/langflow/components/textsplitters/CharacterTextSplitter.py +++ b/src/backend/langflow/components/textsplitters/CharacterTextSplitter.py @@ -1,7 +1,8 @@ -from langflow import CustomComponent +from typing import List + from langchain.text_splitter import CharacterTextSplitter from langchain_core.documents.base import Document -from typing import List +from langflow import CustomComponent class CharacterTextSplitterComponent(CustomComponent): @@ -23,8 +24,10 @@ class CharacterTextSplitterComponent(CustomComponent): chunk_size: int = 1000, separator: str = "\n", ) -> List[Document]: - return CharacterTextSplitter( + docs = CharacterTextSplitter( chunk_overlap=chunk_overlap, chunk_size=chunk_size, separator=separator, ).split_documents(documents) + self.status = docs + return docs diff --git a/src/backend/langflow/components/toolkits/OpenAPIToolkit.py b/src/backend/langflow/components/toolkits/OpenAPIToolkit.py index 2d9a860a0..fc8780454 100644 --- a/src/backend/langflow/components/toolkits/OpenAPIToolkit.py +++ b/src/backend/langflow/components/toolkits/OpenAPIToolkit.py @@ -1,8 +1,7 @@ +from langchain_community.agent_toolkits.openapi.toolkit import BaseToolkit, OpenAPIToolkit +from langchain_community.utilities.requests import TextRequestsWrapper from langflow import CustomComponent from langflow.field_typing import AgentExecutor -from typing import Callable -from langchain_community.utilities.requests import TextRequestsWrapper -from langchain_community.agent_toolkits.openapi.toolkit import OpenAPIToolkit class OpenAPIToolkitComponent(CustomComponent): @@ -19,5 +18,5 @@ class OpenAPIToolkitComponent(CustomComponent): self, json_agent: AgentExecutor, requests_wrapper: TextRequestsWrapper, - ) -> Callable: + ) -> BaseToolkit: return OpenAPIToolkit(json_agent=json_agent, requests_wrapper=requests_wrapper) diff --git a/src/backend/langflow/components/utilities/GoogleSearchAPIWrapper.py b/src/backend/langflow/components/utilities/GoogleSearchAPIWrapper.py index 37e9afff6..1d7123dc3 100644 --- a/src/backend/langflow/components/utilities/GoogleSearchAPIWrapper.py +++ b/src/backend/langflow/components/utilities/GoogleSearchAPIWrapper.py @@ -1,6 +1,7 @@ -from langflow import CustomComponent -from typing import Union, Callable +from typing import Callable, Union + from langchain_community.utilities.google_search import GoogleSearchAPIWrapper +from langflow import CustomComponent class GoogleSearchAPIWrapperComponent(CustomComponent): @@ -18,4 +19,4 @@ class GoogleSearchAPIWrapperComponent(CustomComponent): google_api_key: str, google_cse_id: str, ) -> Union[GoogleSearchAPIWrapper, Callable]: - return GoogleSearchAPIWrapper(google_api_key=google_api_key, google_cse_id=google_cse_id) + return GoogleSearchAPIWrapper(google_api_key=google_api_key, google_cse_id=google_cse_id) # type: ignore diff --git a/src/backend/langflow/components/utilities/GoogleSerperAPIWrapper.py b/src/backend/langflow/components/utilities/GoogleSerperAPIWrapper.py index 84fefedad..be5efe738 100644 --- a/src/backend/langflow/components/utilities/GoogleSerperAPIWrapper.py +++ b/src/backend/langflow/components/utilities/GoogleSerperAPIWrapper.py @@ -1,9 +1,9 @@ -from langflow import CustomComponent -from typing import Dict, Optional +from typing import Dict # Assuming the existence of GoogleSerperAPIWrapper class in the serper module # If this class does not exist, you would need to create it or import the appropriate class from another module from langchain_community.utilities.google_serper import GoogleSerperAPIWrapper +from langflow import CustomComponent class GoogleSerperAPIWrapperComponent(CustomComponent): @@ -42,6 +42,5 @@ class GoogleSerperAPIWrapperComponent(CustomComponent): def build( self, serper_api_key: str, - result_key_for_type: Optional[Dict[str, str]] = None, ) -> GoogleSerperAPIWrapper: - return GoogleSerperAPIWrapper(result_key_for_type=result_key_for_type, serper_api_key=serper_api_key) + return GoogleSerperAPIWrapper(serper_api_key=serper_api_key) diff --git a/src/backend/langflow/components/vectorstores/Chroma.py b/src/backend/langflow/components/vectorstores/Chroma.py index 8f25548a8..6eb8fedd6 100644 --- a/src/backend/langflow/components/vectorstores/Chroma.py +++ b/src/backend/langflow/components/vectorstores/Chroma.py @@ -29,7 +29,7 @@ class ChromaComponent(CustomComponent): "collection_name": {"display_name": "Collection Name", "value": "langflow"}, "persist": {"display_name": "Persist"}, "persist_directory": {"display_name": "Persist Directory"}, - "code": {"show": False, "display_name": "Code"}, + "code": {"advanced": True, "display_name": "Code"}, "documents": {"display_name": "Documents", "is_list": True}, "embedding": {"display_name": "Embedding"}, "chroma_server_cors_allow_origins": { diff --git a/src/backend/langflow/components/vectorstores/Pinecone.py b/src/backend/langflow/components/vectorstores/Pinecone.py index c4613948a..147af1df8 100644 --- a/src/backend/langflow/components/vectorstores/Pinecone.py +++ b/src/backend/langflow/components/vectorstores/Pinecone.py @@ -5,7 +5,6 @@ import pinecone # type: ignore from langchain.schema import BaseRetriever from langchain_community.vectorstores import VectorStore from langchain_community.vectorstores.pinecone import Pinecone - from langflow import CustomComponent from langflow.field_typing import Document, Embeddings @@ -31,11 +30,11 @@ class PineconeComponent(CustomComponent): embedding: Embeddings, pinecone_env: str, documents: List[Document], + text_key: str = "text", + pool_threads: int = 4, index_name: Optional[str] = None, pinecone_api_key: Optional[str] = None, - text_key: Optional[str] = "text", namespace: Optional[str] = "default", - pool_threads: Optional[int] = None, ) -> Union[VectorStore, Pinecone, BaseRetriever]: if pinecone_api_key is None or pinecone_env is None: raise ValueError("Pinecone API Key and Environment are required.") @@ -43,6 +42,8 @@ class PineconeComponent(CustomComponent): raise ValueError("Pinecone API Key is required.") pinecone.init(api_key=pinecone_api_key, environment=pinecone_env) # type: ignore + if not index_name: + raise ValueError("Index Name is required.") if documents: return Pinecone.from_documents( documents=documents, diff --git a/src/backend/langflow/components/vectorstores/Qdrant.py b/src/backend/langflow/components/vectorstores/Qdrant.py index ee38406df..6d68cdd55 100644 --- a/src/backend/langflow/components/vectorstores/Qdrant.py +++ b/src/backend/langflow/components/vectorstores/Qdrant.py @@ -1,4 +1,4 @@ -from typing import List, Optional, Union +from typing import Optional, Union from langchain.schema import BaseRetriever from langchain_community.vectorstores import VectorStore @@ -15,7 +15,7 @@ class QdrantComponent(CustomComponent): return { "documents": {"display_name": "Documents"}, "embedding": {"display_name": "Embedding"}, - "api_key": {"display_name": "API Key", "password": True}, + "api_key": {"display_name": "API Key", "password": True, "advanced": True}, "collection_name": {"display_name": "Collection Name"}, "content_payload_key": {"display_name": "Content Payload Key", "advanced": True}, "distance_func": {"display_name": "Distance Function", "advanced": True}, @@ -36,41 +36,68 @@ class QdrantComponent(CustomComponent): def build( self, embedding: Embeddings, - documents: List[Document], + collection_name: str, + documents: Optional[Document] = None, api_key: Optional[str] = None, - collection_name: Optional[str] = None, content_payload_key: str = "page_content", distance_func: str = "Cosine", - grpc_port: Optional[int] = 6334, - host: Optional[str] = None, + grpc_port: int = 6334, https: bool = False, - location: str = ":memory:", + host: Optional[str] = None, + location: Optional[str] = None, metadata_payload_key: str = "metadata", path: Optional[str] = None, port: Optional[int] = 6333, prefer_grpc: bool = False, prefix: Optional[str] = None, search_kwargs: Optional[NestedDict] = None, - timeout: Optional[float] = None, + timeout: Optional[int] = None, url: Optional[str] = None, ) -> Union[VectorStore, Qdrant, BaseRetriever]: - return Qdrant.from_documents( - documents=documents, - embedding=embedding, - api_key=api_key, - collection_name=collection_name, - content_payload_key=content_payload_key, - distance_func=distance_func, - grpc_port=grpc_port, - host=host, - https=https, - location=location, - metadata_payload_key=metadata_payload_key, - path=path, - port=port, - prefer_grpc=prefer_grpc, - prefix=prefix, - search_kwargs=search_kwargs, - timeout=timeout, - url=url, - ) + if documents is None: + from qdrant_client import QdrantClient + + client = QdrantClient( + location=location, + url=host, + port=port, + grpc_port=grpc_port, + https=https, + prefix=prefix, + timeout=timeout, + prefer_grpc=prefer_grpc, + metadata_payload_key=metadata_payload_key, + content_payload_key=content_payload_key, + api_key=api_key, + collection_name=collection_name, + host=host, + path=path, + ) + vs = Qdrant( + client=client, + collection_name=collection_name, + embeddings=embedding, + ) + return vs + else: + vs = Qdrant.from_documents( + documents=documents, # type: ignore + embedding=embedding, + api_key=api_key, + collection_name=collection_name, + content_payload_key=content_payload_key, + distance_func=distance_func, + grpc_port=grpc_port, + host=host, + https=https, + location=location, + metadata_payload_key=metadata_payload_key, + path=path, + port=port, + prefer_grpc=prefer_grpc, + prefix=prefix, + search_kwargs=search_kwargs, + timeout=timeout, + url=url, + ) + return vs diff --git a/src/backend/langflow/components/vectorstores/Redis.py b/src/backend/langflow/components/vectorstores/Redis.py index 3cecd2ff5..b2d7e4542 100644 --- a/src/backend/langflow/components/vectorstores/Redis.py +++ b/src/backend/langflow/components/vectorstores/Redis.py @@ -5,7 +5,6 @@ from langchain_community.vectorstores import VectorStore from langchain_community.vectorstores.redis import Redis from langchain_core.documents import Document from langchain_core.retrievers import BaseRetriever - from langflow import CustomComponent @@ -31,6 +30,7 @@ class RedisComponent(CustomComponent): "code": {"show": False, "display_name": "Code"}, "documents": {"display_name": "Documents", "is_list": True}, "embedding": {"display_name": "Embedding"}, + "schema": {"display_name": "Schema", "file_types": [".yaml"]}, "redis_server_url": { "display_name": "Redis Server Connection String", "advanced": False, @@ -43,6 +43,7 @@ class RedisComponent(CustomComponent): embedding: Embeddings, redis_server_url: str, redis_index_name: str, + schema: Optional[str] = None, documents: Optional[Document] = None, ) -> Union[VectorStore, BaseRetriever]: """ @@ -58,10 +59,12 @@ class RedisComponent(CustomComponent): - VectorStore: The Vector Store object. """ if documents is None: + if schema is None: + raise ValueError("If no documents are provided, a schema must be provided.") redis_vs = Redis.from_existing_index( embedding=embedding, index_name=redis_index_name, - schema=None, + schema=schema, key_prefix=None, redis_url=redis_server_url, ) diff --git a/src/backend/langflow/components/vectorstores/Vectara.py b/src/backend/langflow/components/vectorstores/Vectara.py index 2f468a3ba..31615fe7f 100644 --- a/src/backend/langflow/components/vectorstores/Vectara.py +++ b/src/backend/langflow/components/vectorstores/Vectara.py @@ -6,7 +6,6 @@ from typing import List, Optional, Union from langchain_community.embeddings import FakeEmbeddings from langchain_community.vectorstores.vectara import Vectara from langchain_core.vectorstores import VectorStore - from langflow import CustomComponent from langflow.field_typing import BaseRetriever, Document @@ -46,7 +45,7 @@ class VectaraComponent(CustomComponent): if documents is not None: return Vectara.from_documents( - documents=documents, + documents=documents, # type: ignore embedding=FakeEmbeddings(size=768), vectara_customer_id=vectara_customer_id, vectara_corpus_id=vectara_corpus_id, diff --git a/src/backend/langflow/components/vectorstores/pgvector.py b/src/backend/langflow/components/vectorstores/pgvector.py index 75c269a43..2baf6dae6 100644 --- a/src/backend/langflow/components/vectorstores/pgvector.py +++ b/src/backend/langflow/components/vectorstores/pgvector.py @@ -5,7 +5,6 @@ from langchain_community.vectorstores import VectorStore from langchain_community.vectorstores.pgvector import PGVector from langchain_core.documents import Document from langchain_core.retrievers import BaseRetriever - from langflow import CustomComponent @@ -63,13 +62,13 @@ class PGVectorComponent(CustomComponent): collection_name=collection_name, connection_string=pg_server_url, ) - - vector_store = PGVector.from_documents( - embedding=embedding, - documents=documents, - collection_name=collection_name, - connection_string=pg_server_url, - ) + else: + vector_store = PGVector.from_documents( + embedding=embedding, + documents=documents, # type: ignore + collection_name=collection_name, + connection_string=pg_server_url, + ) except Exception as e: raise RuntimeError(f"Failed to build PGVector: {e}") return vector_store diff --git a/src/backend/langflow/interface/custom/custom_component/component.py b/src/backend/langflow/interface/custom/custom_component/component.py index 594ec982f..9053dcb0f 100644 --- a/src/backend/langflow/interface/custom/custom_component/component.py +++ b/src/backend/langflow/interface/custom/custom_component/component.py @@ -3,6 +3,7 @@ import operator import warnings from typing import Any, ClassVar, Optional +import emoji from cachetools import TTLCache, cachedmethod from fastapi import HTTPException @@ -35,6 +36,10 @@ class Component: else: setattr(self, key, value) + # Validate the emoji at the icon field + if hasattr(self, "icon") and self.icon: + self.icon = self.validate_icon(self.icon) + def __setattr__(self, key, value): if key == "_user_id" and hasattr(self, "_user_id"): warnings.warn("user_id is immutable and cannot be changed.") @@ -82,7 +87,23 @@ class Component: elif "documentation" in item_name: template_config["documentation"] = ast.literal_eval(item_value) + elif "icon" in item_name: + icon_str = ast.literal_eval(item_value) + template_config["icon"] = self.validate_icon(icon_str) + return template_config + def validate_icon(self, value: str): + # we are going to use the emoji library to validate the emoji + # emojis can be defined using the :emoji_name: syntax + if not value.startswith(":") or not value.endswith(":"): + warnings.warn("Invalid emoji. Please use the :emoji_name: syntax.") + return value + emoji_value = emoji.emojize(value, variant="emoji_type") + if value == emoji_value: + warnings.warn(f"Invalid emoji. {value} is not a valid emoji.") + return value + return emoji_value + def build(self, *args: Any, **kwargs: Any) -> Any: raise NotImplementedError diff --git a/src/backend/langflow/interface/custom/custom_component/custom_component.py b/src/backend/langflow/interface/custom/custom_component/custom_component.py index 15e7cd845..3cc52438e 100644 --- a/src/backend/langflow/interface/custom/custom_component/custom_component.py +++ b/src/backend/langflow/interface/custom/custom_component/custom_component.py @@ -5,36 +5,46 @@ from uuid import UUID import yaml from cachetools import TTLCache, cachedmethod from fastapi import HTTPException - from langflow.interface.custom.code_parser.utils import ( extract_inner_type_from_generic_alias, extract_union_types_from_generic_alias, ) +from langflow.interface.custom.custom_component.component import Component from langflow.services.database.models.flow import Flow from langflow.services.database.utils import session_getter from langflow.services.deps import get_credential_service, get_db_service from langflow.utils import validate -from .component import Component - class CustomComponent(Component): display_name: Optional[str] = None + """The display name of the component. Defaults to None.""" description: Optional[str] = None + """The description of the component. Defaults to None.""" + icon: Optional[str] = None + """The icon of the component. It should be an emoji. Defaults to None.""" code: Optional[str] = None + """The code of the component. Defaults to None.""" field_config: dict = {} + """The field configuration of the component. Defaults to an empty dictionary.""" + field_order: Optional[List[str]] = None + """The field order of the component. Defaults to an empty list.""" code_class_base_inheritance: ClassVar[str] = "CustomComponent" function_entrypoint_name: ClassVar[str] = "build" function: Optional[Callable] = None repr_value: Optional[Any] = "" user_id: Optional[Union[UUID, str]] = None status: Optional[Any] = None + """The status of the component. This is displayed on the frontend. Defaults to None.""" _tree: Optional[dict] = None def __init__(self, **data): self.cache = TTLCache(maxsize=1024, ttl=60) super().__init__(**data) + def _get_field_order(self): + return self.field_order or list(self.field_config.keys()) + def custom_repr(self): if self.repr_value == "": self.repr_value = self.status diff --git a/src/backend/langflow/interface/custom/utils.py b/src/backend/langflow/interface/custom/utils.py index e6125b515..2511c08ca 100644 --- a/src/backend/langflow/interface/custom/utils.py +++ b/src/backend/langflow/interface/custom/utils.py @@ -17,7 +17,9 @@ from langflow.interface.custom.directory_reader.utils import ( ) from langflow.interface.importing.utils import eval_custom_component_code from langflow.template.field.base import TemplateField -from langflow.template.frontend_node.custom_components import CustomComponentFrontendNode +from langflow.template.frontend_node.custom_components import ( + CustomComponentFrontendNode, +) from langflow.utils.util import get_base_classes from loguru import logger @@ -43,6 +45,21 @@ def add_output_types(frontend_node: CustomComponentFrontendNode, return_types: L frontend_node.add_output_type(return_type) +def reorder_fields(frontend_node: CustomComponentFrontendNode, field_order: List[str]): + """Reorder fields in the frontend node based on the specified field_order.""" + if not field_order: + return + + # Create a dictionary for O(1) lookup time. + field_dict = {field.name: field for field in frontend_node.template.fields} + reordered_fields = [field_dict[name] for name in field_order if name in field_dict] + # Add any fields that are not in the field_order list + for field in frontend_node.template.fields: + if field.name not in field_order: + reordered_fields.append(field) + frontend_node.template.fields = reordered_fields + + def add_base_classes(frontend_node: CustomComponentFrontendNode, return_types: List[str]): """Add base classes to the frontend node""" for return_type_instance in return_types: @@ -106,7 +123,7 @@ def add_new_custom_field( ): # Check field_config if any of the keys are in it # if it is, update the value - display_name = field_config.pop("display_name", field_name) + display_name = field_config.pop("display_name", None) field_type = field_config.pop("field_type", field_type) field_contains_list = "list" in field_type.lower() field_type = process_type(field_type) @@ -149,9 +166,6 @@ def add_extra_fields(frontend_node, field_config, function_args): if not function_args: return - # sort function_args which is a list of dicts - function_args.sort(key=lambda x: x["name"]) - for extra_field in function_args: if "name" not in extra_field or extra_field["name"] == "self": continue @@ -175,7 +189,11 @@ def get_field_dict(field: Union[TemplateField, dict]): return field -def run_build_config(custom_component: CustomComponent, user_id: Optional[Union[str, UUID]] = None, update_field=None): +def run_build_config( + custom_component: CustomComponent, + user_id: Optional[Union[str, UUID]] = None, + update_field=None, +): """Build the field configuration for a custom component""" try: @@ -196,7 +214,8 @@ def run_build_config(custom_component: CustomComponent, user_id: Optional[Union[ ) from exc try: - build_config: Dict = custom_class(user_id=user_id).build_config() + custom_instance = custom_class(user_id=user_id) + build_config: Dict = custom_instance.build_config() for field_name, field in build_config.items(): # Allow user to build TemplateField as well @@ -210,7 +229,7 @@ def run_build_config(custom_component: CustomComponent, user_id: Optional[Union[ except Exception as exc: logger.error(f"Error while getting build_config: {str(exc)}") - return build_config + return build_config, custom_instance except Exception as exc: logger.error(f"Error while building field config: {str(exc)}") @@ -231,6 +250,7 @@ def sanitize_template_config(template_config): "beta", "documentation", "output_types", + "icon", } for key in template_config.copy(): if key not in attributes: @@ -280,7 +300,7 @@ def build_custom_component_template( logger.debug("Built base frontend node") logger.debug("Updated attributes") - field_config = run_build_config(custom_component, user_id=user_id, update_field=update_field) + field_config, custom_instance = run_build_config(custom_component, user_id=user_id, update_field=update_field) logger.debug("Built field config") entrypoint_args = custom_component.get_function_entrypoint_args @@ -291,6 +311,9 @@ def build_custom_component_template( add_base_classes(frontend_node, custom_component.get_function_entrypoint_return_type) add_output_types(frontend_node, custom_component.get_function_entrypoint_return_type) logger.debug("Added base classes") + + reorder_fields(frontend_node, custom_instance._get_field_order()) + return frontend_node.to_dict(add_name=False) except Exception as exc: if isinstance(exc, HTTPException): @@ -349,7 +372,7 @@ def update_field_dict(field_dict): field_dict["refresh"] = True if "value" in field_dict and callable(field_dict["value"]): - field_dict["value"] = field_dict["value"](field_dict.get("options", [])) + field_dict["value"] = field_dict["value"]() field_dict["refresh"] = True # Let's check if "range_spec" is a RangeSpec object @@ -359,7 +382,16 @@ def update_field_dict(field_dict): def sanitize_field_config(field_config: Dict): # If any of the already existing keys are in field_config, remove them - for key in ["name", "field_type", "value", "required", "placeholder", "display_name", "advanced", "show"]: + for key in [ + "name", + "field_type", + "value", + "required", + "placeholder", + "display_name", + "advanced", + "show", + ]: field_config.pop(key, None) return field_config diff --git a/src/backend/langflow/processing/base.py b/src/backend/langflow/processing/base.py index 06dc0a063..41e03e7bc 100644 --- a/src/backend/langflow/processing/base.py +++ b/src/backend/langflow/processing/base.py @@ -2,10 +2,11 @@ from typing import TYPE_CHECKING, List, Union from langchain.agents.agent import AgentExecutor from langchain.callbacks.base import BaseCallbackHandler +from loguru import logger + from langflow.api.v1.callback import AsyncStreamingLLMCallbackHandler, StreamingLLMCallbackHandler from langflow.processing.process import fix_memory_inputs, format_actions from langflow.services.deps import get_plugins_service -from loguru import logger if TYPE_CHECKING: from langfuse.callback import CallbackHandler # type: ignore @@ -28,13 +29,12 @@ def setup_callbacks(sync, trace_id, **kwargs): def get_langfuse_callback(trace_id): from langflow.services.deps import get_plugins_service - from langfuse.callback import CreateTrace logger.debug("Initializing langfuse callback") if langfuse := get_plugins_service().get("langfuse"): logger.debug("Langfuse credentials found") try: - trace = langfuse.trace(CreateTrace(name="langflow-" + trace_id, id=trace_id)) + trace = langfuse.trace(name="langflow-" + trace_id, id=trace_id) return trace.getNewHandler() except Exception as exc: logger.error(f"Error initializing langfuse callback: {exc}") diff --git a/src/backend/langflow/services/plugins/langfuse_plugin.py b/src/backend/langflow/services/plugins/langfuse_plugin.py index 424279342..e5d3afdd6 100644 --- a/src/backend/langflow/services/plugins/langfuse_plugin.py +++ b/src/backend/langflow/services/plugins/langfuse_plugin.py @@ -64,14 +64,13 @@ class LangfusePlugin(CallbackPlugin): def get_callback(self, _id: Optional[str] = None): if _id is None: _id = "default" - from langfuse.callback import CreateTrace # type: ignore logger.debug("Initializing langfuse callback") try: langfuse_instance = self.get() if langfuse_instance is not None and hasattr(langfuse_instance, "trace"): - trace = langfuse_instance.trace(CreateTrace(name="langflow-" + _id, id=_id)) + trace = langfuse_instance.trace(name="langflow-" + _id, id=_id) if trace: return trace.getNewHandler() diff --git a/src/backend/langflow/services/settings/auth.py b/src/backend/langflow/services/settings/auth.py index 92a696cc5..8463d0781 100644 --- a/src/backend/langflow/services/settings/auth.py +++ b/src/backend/langflow/services/settings/auth.py @@ -2,7 +2,10 @@ import secrets from pathlib import Path from typing import Optional -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.settings.utils import read_secret_from_file, write_secret_to_file from loguru import logger from passlib.context import CryptContext @@ -34,6 +37,19 @@ class AuthSettings(BaseSettings): SUPERUSER: str = DEFAULT_SUPERUSER SUPERUSER_PASSWORD: str = DEFAULT_SUPERUSER_PASSWORD + REFRESH_SAME_SITE: str = "none" + """The SameSite attribute of the refresh token cookie.""" + REFRESH_SECURE: bool = True + """The Secure attribute of the refresh token cookie.""" + REFRESH_HTTPONLY: bool = True + """The HttpOnly attribute of the refresh token cookie.""" + ACCESS_SAME_SITE: str = "none" + """The SameSite attribute of the access token cookie.""" + ACCESS_SECURE: bool = True + """The Secure attribute of the access token cookie.""" + ACCESS_HTTPONLY: bool = False + """The HttpOnly attribute of the access token cookie.""" + pwd_context: CryptContext = CryptContext(schemes=["bcrypt"], deprecated="auto") class Config: diff --git a/src/backend/langflow/template/field/base.py b/src/backend/langflow/template/field/base.py index 021c0104d..798d07b55 100644 --- a/src/backend/langflow/template/field/base.py +++ b/src/backend/langflow/template/field/base.py @@ -1,8 +1,7 @@ from typing import Any, Callable, Optional, Union -from pydantic import BaseModel, ConfigDict, Field, field_serializer - from langflow.field_typing.range_spec import RangeSpec +from pydantic import BaseModel, ConfigDict, Field, field_serializer class TemplateField(BaseModel): @@ -64,6 +63,9 @@ class TemplateField(BaseModel): range_spec: Optional[RangeSpec] = Field(default=None, serialization_alias="rangeSpec") """Range specification for the field. Defaults to None.""" + title_case: bool = True + """Specifies if the field should be displayed in title case. Defaults to True.""" + def to_dict(self): return self.model_dump(by_alias=True, exclude_none=True) @@ -76,3 +78,15 @@ class TemplateField(BaseModel): if value == "float" and self.range_spec is None: self.range_spec = RangeSpec() return value + + @field_serializer("display_name") + def serialize_display_name(self, value, _info): + # If display_name is not set, use name and convert to title case + # if title_case is True + if value is None: + # name is probably a snake_case string + # Ex: "file_path" -> "File Path" + value = self.name.replace("_", " ") + if self.title_case: + value = value.title() + return value diff --git a/src/backend/langflow/template/frontend_node/base.py b/src/backend/langflow/template/frontend_node/base.py index 6379dd358..daef4f9a8 100644 --- a/src/backend/langflow/template/frontend_node/base.py +++ b/src/backend/langflow/template/frontend_node/base.py @@ -2,13 +2,12 @@ import re from collections import defaultdict from typing import ClassVar, Dict, List, Optional, Union -from pydantic import BaseModel, Field, field_serializer, model_serializer - from langflow.template.field.base import TemplateField from langflow.template.frontend_node.constants import CLASSES_TO_REMOVE, FORCE_SHOW_FIELDS from langflow.template.frontend_node.formatter import field_formatters from langflow.template.template.base import Template from langflow.utils import constants +from pydantic import BaseModel, Field, field_serializer, model_serializer class FieldFormatters(BaseModel): @@ -43,6 +42,7 @@ class FrontendNode(BaseModel): _format_template: bool = True template: Template description: Optional[str] = None + icon: Optional[str] = None base_classes: List[str] name: str = "" display_name: Optional[str] = "" diff --git a/src/backend/langflow/template/template/base.py b/src/backend/langflow/template/template/base.py index d7632e239..9bc375b0f 100644 --- a/src/backend/langflow/template/template/base.py +++ b/src/backend/langflow/template/template/base.py @@ -1,14 +1,14 @@ from typing import Callable, Union -from pydantic import BaseModel, model_serializer - from langflow.template.field.base import TemplateField from langflow.utils.constants import DIRECT_TYPES +from pydantic import BaseModel, model_serializer class Template(BaseModel): type_name: str fields: list[TemplateField] + field_order: list[str] = [] def process_fields( self, @@ -30,6 +30,7 @@ class Template(BaseModel): for field in self.fields: result[field.name] = field.model_dump(by_alias=True, exclude_none=True) result["_type"] = result.pop("type_name") + result.pop("field_order", None) return result # For backwards compatibility diff --git a/src/frontend/package-lock.json b/src/frontend/package-lock.json index 168078c1d..2bfc05143 100644 --- a/src/frontend/package-lock.json +++ b/src/frontend/package-lock.json @@ -99,13 +99,13 @@ "pretty-quick": "^3.1.3", "tailwindcss": "^3.3.3", "typescript": "^5.2.2", - "vite": "^4.5.1" + "vite": "^4.5.2" } }, "node_modules/@adobe/css-tools": { - "version": "4.3.2", - "resolved": "https://registry.npmjs.org/@adobe/css-tools/-/css-tools-4.3.2.tgz", - "integrity": "sha512-DA5a1C0gD/pLOvhv33YMrbf2FK3oUzwNl9oOJqE4XVjuEtt6XIakRcsd7eLiOSPkp1kTRQGICTA8cKra/vFbjw==", + "version": "4.3.3", + "resolved": "https://registry.npmjs.org/@adobe/css-tools/-/css-tools-4.3.3.tgz", + "integrity": "sha512-rE0Pygv0sEZ4vBWHlAgJLGDU7Pm8xoO6p3wsEceb7GYAjScrOHpEo8KK/eVkAcnSM+slAEtXjA2JpdjLp4fJQQ==", "dev": true }, "node_modules/@alloc/quick-lru": { @@ -230,20 +230,20 @@ } }, "node_modules/@babel/core": { - "version": "7.23.7", - "resolved": "https://registry.npmjs.org/@babel/core/-/core-7.23.7.tgz", - "integrity": "sha512-+UpDgowcmqe36d4NwqvKsyPMlOLNGMsfMmQ5WGCu+siCe3t3dfe9njrzGfdN4qq+bcNUt0+Vw6haRxBOycs4dw==", + "version": "7.23.9", + "resolved": "https://registry.npmjs.org/@babel/core/-/core-7.23.9.tgz", + "integrity": "sha512-5q0175NOjddqpvvzU+kDiSOAk4PfdO6FvwCWoQ6RO7rTzEe8vlo+4HVfcnAREhD4npMs0e9uZypjTwzZPCf/cw==", "dependencies": { "@ampproject/remapping": "^2.2.0", "@babel/code-frame": "^7.23.5", "@babel/generator": "^7.23.6", "@babel/helper-compilation-targets": "^7.23.6", "@babel/helper-module-transforms": "^7.23.3", - 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"version": "1.1.13", - "resolved": "https://registry.npmjs.org/which-typed-array/-/which-typed-array-1.1.13.tgz", - "integrity": "sha512-P5Nra0qjSncduVPEAr7xhoF5guty49ArDTwzJ/yNuPIbZppyRxFQsRCWrocxIY+CnMVG+qfbU2FmDKyvSGClow==", + "version": "1.1.14", + "resolved": "https://registry.npmjs.org/which-typed-array/-/which-typed-array-1.1.14.tgz", + "integrity": "sha512-VnXFiIW8yNn9kIHN88xvZ4yOWchftKDsRJ8fEPacX/wl1lOvBrhsJ/OeJCXq7B0AaijRuqgzSKalJoPk+D8MPg==", "dev": true, "dependencies": { - "available-typed-arrays": "^1.0.5", - "call-bind": "^1.0.4", + "available-typed-arrays": "^1.0.6", + "call-bind": "^1.0.5", "for-each": "^0.3.3", "gopd": "^1.0.1", - "has-tostringtag": "^1.0.0" + "has-tostringtag": "^1.0.1" }, "engines": { "node": ">= 0.4" @@ -12087,9 +12017,9 @@ } }, "node_modules/zustand": { - "version": "4.4.7", - "resolved": "https://registry.npmjs.org/zustand/-/zustand-4.4.7.tgz", - "integrity": "sha512-QFJWJMdlETcI69paJwhSMJz7PPWjVP8Sjhclxmxmxv/RYI7ZOvR5BHX+ktH0we9gTWQMxcne8q1OY8xxz604gw==", + "version": "4.5.0", + "resolved": "https://registry.npmjs.org/zustand/-/zustand-4.5.0.tgz", + "integrity": "sha512-zlVFqS5TQ21nwijjhJlx4f9iGrXSL0o/+Dpy4txAP22miJ8Ti6c1Ol1RLNN98BMib83lmDH/2KmLwaNXpjrO1A==", "dependencies": { "use-sync-external-store": "1.2.0" }, @@ -12098,7 +12028,7 @@ }, "peerDependencies": { "@types/react": ">=16.8", - "immer": ">=9.0", + "immer": ">=9.0.6", "react": ">=16.8" }, "peerDependenciesMeta": { diff --git a/src/frontend/package.json b/src/frontend/package.json index 015b6d9a2..5ee8b6741 100644 --- a/src/frontend/package.json +++ b/src/frontend/package.json @@ -121,6 +121,6 @@ "pretty-quick": "^3.1.3", "tailwindcss": "^3.3.3", "typescript": "^5.2.2", - "vite": "^4.5.1" + "vite": "^4.5.2" } } diff --git a/src/frontend/src/App.tsx b/src/frontend/src/App.tsx index d126f5fa9..bb010a844 100644 --- a/src/frontend/src/App.tsx +++ b/src/frontend/src/App.tsx @@ -34,6 +34,7 @@ export default function App() { const setSuccessOpen = useAlertStore((state) => state.setSuccessOpen); const loading = useAlertStore((state) => state.loading); const [fetchError, setFetchError] = useState(false); + const isLoading = useFlowsManagerStore((state) => state.isLoading); // Initialize state variable for the list of alerts const [alertsList, setAlertsList] = useState< @@ -170,7 +171,7 @@ export default function App() { description={FETCH_ERROR_DESCRIPION} message={FETCH_ERROR_MESSAGE} > - ) : loading ? ( + ) : isLoading ? (
diff --git a/src/frontend/src/CustomNodes/GenericNode/components/parameterComponent/index.tsx b/src/frontend/src/CustomNodes/GenericNode/components/parameterComponent/index.tsx index 7201bba3b..533d60842 100644 --- a/src/frontend/src/CustomNodes/GenericNode/components/parameterComponent/index.tsx +++ b/src/frontend/src/CustomNodes/GenericNode/components/parameterComponent/index.tsx @@ -403,13 +403,27 @@ export default function ParameterComponent({ data-testid={"textarea-" + data.node.template[name].name} /> ) : ( - +
+
+ +
+ {data.node?.template[name].refresh && ( + + )} +
)} ) : left === true && type === "bool" ? ( diff --git a/src/frontend/src/CustomNodes/GenericNode/index.tsx b/src/frontend/src/CustomNodes/GenericNode/index.tsx index e8a95fb1b..2ddd49b8f 100644 --- a/src/frontend/src/CustomNodes/GenericNode/index.tsx +++ b/src/frontend/src/CustomNodes/GenericNode/index.tsx @@ -1,4 +1,4 @@ -import { useEffect, useState } from "react"; +import { useCallback, useEffect, useState } from "react"; import { NodeToolbar } from "reactflow"; import ShadTooltip from "../../components/ShadTooltipComponent"; import Tooltip from "../../components/TooltipComponent"; @@ -107,6 +107,39 @@ export default function GenericNode({ const nameEditable = data.node?.flow || data.type === "CustomComponent"; + const emojiRegex = /\p{Emoji}/u; + const isEmoji = emojiRegex.test(data?.node?.icon!); + + const iconNodeRender = useCallback(() => { + const iconElement = data?.node?.icon; + const iconColor = nodeColors[types[data.type]]; + const iconName = + iconElement || (data.node?.flow ? "group_components" : name); + const iconClassName = `generic-node-icon ${ + !showNode ? "absolute inset-x-6 h-12 w-12" : "" + }`; + + if (iconElement && isEmoji) { + return nodeIconFragment(iconElement); + } else { + return checkNodeIconFragment(iconColor, iconName, iconClassName); + } + }, [data, isEmoji, name, showNode]); + + const nodeIconFragment = (icon) => { + return {icon}; + }; + + const checkNodeIconFragment = (iconColor, iconName, iconClassName) => { + return ( + + ); + }; + return ( <> @@ -156,14 +189,7 @@ export default function GenericNode({ (!showNode && "justify-center") } > - + {iconNodeRender()} {showNode && (
{nameEditable && inputName ? ( diff --git a/src/frontend/src/components/headerComponent/components/menuBar/index.tsx b/src/frontend/src/components/headerComponent/components/menuBar/index.tsx index a4ff37fae..cca170067 100644 --- a/src/frontend/src/components/headerComponent/components/menuBar/index.tsx +++ b/src/frontend/src/components/headerComponent/components/menuBar/index.tsx @@ -8,19 +8,26 @@ import { } from "../../../ui/dropdown-menu"; import { useNavigate } from "react-router-dom"; +import { Node } from "reactflow"; import FlowSettingsModal from "../../../../modals/flowSettingsModal"; import useAlertStore from "../../../../stores/alertStore"; +import useFlowStore from "../../../../stores/flowStore"; import useFlowsManagerStore from "../../../../stores/flowsManagerStore"; import IconComponent from "../../../genericIconComponent"; import { Button } from "../../../ui/button"; -export const MenuBar = (): JSX.Element => { +export const MenuBar = ({ + removeFunction, +}: { + removeFunction: (nodes: Node[]) => void; +}): JSX.Element => { const addFlow = useFlowsManagerStore((state) => state.addFlow); const currentFlow = useFlowsManagerStore((state) => state.currentFlow); const setErrorData = useAlertStore((state) => state.setErrorData); const undo = useFlowsManagerStore((state) => state.undo); const redo = useFlowsManagerStore((state) => state.redo); const [openSettings, setOpenSettings] = useState(false); + const n = useFlowStore((state) => state.nodes); const navigate = useNavigate(); @@ -39,6 +46,7 @@ export const MenuBar = (): JSX.Element => {