diff --git a/.devcontainer/demo/devcontainer.json b/.devcontainer/demo/devcontainer.json index 1febd3cf5..26ecd86d3 100644 --- a/.devcontainer/demo/devcontainer.json +++ b/.devcontainer/demo/devcontainer.json @@ -15,7 +15,8 @@ "actboy168.tasks", "GitHub.copilot", "ms-python.python", - "eamodio.gitlens" + "eamodio.gitlens", + "GitHub.vscode-pull-request-github" ] } }, diff --git a/.devcontainer/devcontainer.json b/.devcontainer/devcontainer.json index 282ff4ad3..aed1ec954 100644 --- a/.devcontainer/devcontainer.json +++ b/.devcontainer/devcontainer.json @@ -3,32 +3,36 @@ { "name": "LangChain Dev Container", // Or use a Dockerfile or Docker Compose file. More info: https://containers.dev/guide/dockerfile - "image": "mcr.microsoft.com/devcontainers/universal:2-linux", + "image": "mcr.microsoft.com/devcontainers/python:1-3.10-bullseye", + + // Features to add to the dev container. More info: https://containers.dev/features. "features": { - "ghcr.io/devcontainers/features/aws-cli:1": {}, - "ghcr.io/devcontainers/features/docker-in-docker": {} + "ghcr.io/devcontainers/features/node": {}, + "ghcr.io/devcontainers-contrib/features/poetry": {} }, + + // Use 'forwardPorts' to make a list of ports inside the container available locally. + // "forwardPorts": [], + + // Use 'postCreateCommand' to run commands after the container is created. + "postCreateCommand": "make setup_devcontainer", + + "containerEnv": { + "POETRY_VIRTUALENVS_IN_PROJECT": "true" + }, + + // Configure tool-specific properties. "customizations": { "vscode": {"extensions": [ "actboy168.tasks", "GitHub.copilot", "ms-python.python", "sourcery.sourcery", - "eamodio.gitlens" + "eamodio.gitlens", + "ms-vscode.makefile-tools", + "GitHub.vscode-pull-request-github" ]} - }, - - // Features to add to the dev container. More info: https://containers.dev/features. - // "features": {}, - - // Use 'forwardPorts' to make a list of ports inside the container available locally. - // "forwardPorts": [], - - // Use 'postCreateCommand' to run commands after the container is created. - "postCreateCommand": "poetry install" - - // Configure tool-specific properties. - // "customizations": {}, + } // Uncomment to connect as root instead. More info: https://aka.ms/dev-containers-non-root. // "remoteUser": "root" diff --git a/.dockerignore b/.dockerignore new file mode 100644 index 000000000..0cafc1cde --- /dev/null +++ b/.dockerignore @@ -0,0 +1 @@ +.venv/ \ No newline at end of file diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 000000000..b69d73e97 --- /dev/null +++ b/.gitattributes @@ -0,0 +1,20 @@ +# Set the default behavior, in case people don't have core.autocrlf set. +* text eol=lf + +# Explicitly declare text files you want to always be normalized and converted +# to native line endings on checkout. +*.c text +*.h text +*.py text +*.js text +*.ts text +*.jsx text +*.md text +*.mdx text + +# Declare files that will always have CRLF line endings on checkout. +*.sln text eol=crlf + +# Denote all files that are truly binary and should not be modified. +*.png binary +*.jpg binary \ No newline at end of file diff --git a/.github/workflows/release.yml b/.github/workflows/release.yml index 12f72f5f8..2a258949e 100644 --- a/.github/workflows/release.yml +++ b/.github/workflows/release.yml @@ -14,9 +14,7 @@ env: jobs: if_release: - if: | - ${{ github.event.pull_request.merged == true }} - && ${{ contains(github.event.pull_request.labels.*.name, 'Release') }} + if: ${{ (github.event.pull_request.merged == true) && contains(github.event.pull_request.labels.*.name, 'Release') }} runs-on: ubuntu-latest steps: - uses: actions/checkout@v3 diff --git a/.vscode/launch.json b/.vscode/launch.json index e09e76cc8..bb61b0b9e 100644 --- a/.vscode/launch.json +++ b/.vscode/launch.json @@ -1,4 +1,5 @@ { + "version": "0.2.0", "configurations": [ { "name": "Debug Backend", @@ -38,6 +39,15 @@ "request": "launch", "url": "http://localhost:3000/", "webRoot": "${workspaceRoot}/src/frontend" + }, + { + "name": "Python: Debug Tests", + "type": "python", + "request": "launch", + "program": "${file}", + "purpose": ["debug-test"], + "console": "integratedTerminal", + "justMyCode": false } ] } diff --git a/CONTRIBUTING.md b/CONTRIBUTING.md index da7ec1977..c58bb92f1 100644 --- a/CONTRIBUTING.md +++ b/CONTRIBUTING.md @@ -7,6 +7,11 @@ to contributions, whether it be in the form of a new feature, improved infra, or To contribute to this project, please follow a ["fork and pull request"](https://docs.github.com/en/get-started/quickstart/contributing-to-projects) workflow. Please do not try to push directly to this repo unless you are a maintainer. +The branch structure is as follows: + +- `main`: The stable version of Langflow +- `dev`: The development version of Langflow. This branch is used to test new features before they are merged into `main` and, as such, may be unstable. + ## πŸ—ΊοΈContributing Guidelines ## 🚩GitHub Issues diff --git a/Makefile b/Makefile index ff540da0d..b1d42ff4e 100644 --- a/Makefile +++ b/Makefile @@ -32,15 +32,27 @@ lint: poetry run ruff . --fix install_frontend: - cd src/frontend && npm install + cd src/frontend && npm install; + +install_frontendc: + cd src/frontend && rm -rf node_modules package-lock.json && npm install; run_frontend: cd src/frontend && npm start +setup_devcontainer: + make init + make build_frontend + poetry run langflow --path src/frontend/build + frontend: make install_frontend make run_frontend +frontendc: + make install_frontendc + make run_frontend + install_backend: poetry install diff --git a/README.md b/README.md index dcd91e075..9137ea714 100644 --- a/README.md +++ b/README.md @@ -33,7 +33,7 @@ - [HuggingFace Spaces](#huggingface-spaces) - [πŸ–₯️ Command Line Interface (CLI)](#️-command-line-interface-cli) - [Usage](#usage) - - [Environment Variables](#environment-variables) + - [Environment Variables](#environment-variables) - [Deployment](#deployment) - [Deploy Langflow on Google Cloud Platform](#deploy-langflow-on-google-cloud-platform) - [Deploy Langflow on Jina AI Cloud](#deploy-langflow-on-jina-ai-cloud) @@ -112,7 +112,6 @@ Each option is detailed below: - `--cache`: Selects the type of cache to use. Options are `InMemoryCache` and `SQLiteCache`. Can be set using the `LANGFLOW_LANGCHAIN_CACHE` environment variable. The default is `SQLiteCache`. - `--jcloud/--no-jcloud`: Toggles the option to deploy on Jina AI Cloud. The default is `no-jcloud`. - `--dev/--no-dev`: Toggles the development mode. The default is `no-dev`. -- `--database-url`: Sets the database URL to connect to. If not provided, a local SQLite database will be used. Can be set using the `LANGFLOW_DATABASE_URL` environment variable. - `--path`: Specifies the path to the frontend directory containing build files. This option is for development purposes only. Can be set using the `LANGFLOW_FRONTEND_PATH` environment variable. - `--open-browser/--no-open-browser`: Toggles the option to open the browser after starting the server. Can be set using the `LANGFLOW_OPEN_BROWSER` environment variable. The default is `open-browser`. - `--remove-api-keys/--no-remove-api-keys`: Toggles the option to remove API keys from the projects saved in the database. Can be set using the `LANGFLOW_REMOVE_API_KEYS` environment variable. The default is `no-remove-api-keys`. @@ -276,6 +275,8 @@ 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! 🦾

diff --git a/dev.Dockerfile b/dev.Dockerfile index b38929db2..ed3631516 100644 --- a/dev.Dockerfile +++ b/dev.Dockerfile @@ -15,4 +15,4 @@ COPY ./ ./ # Install dependencies RUN poetry config virtualenvs.create false && poetry install --no-interaction --no-ansi -CMD ["uvicorn", "langflow.main:app", "--host", "0.0.0.0", "--port", "5003", "--reload", "log-level", "debug"] \ No newline at end of file +CMD ["uvicorn", "--factory", "src.backend.langflow.main:create_app", "--host", "0.0.0.0", "--port", "7860", "--reload", "--log-level", "debug"] diff --git a/docker-compose.debug.yml b/docker-compose.debug.yml index 581bdc6da..c73ff2a60 100644 --- a/docker-compose.debug.yml +++ b/docker-compose.debug.yml @@ -1,28 +1,33 @@ -version: '3.4' - -services: - backend: - volumes: - - ./:/app - build: - context: ./ - dockerfile: ./dev.Dockerfile - command: ["sh", "-c", "pip install debugpy -t /tmp && python /tmp/debugpy --wait-for-client --listen 0.0.0.0:5678 -m uvicorn langflow.main:app --host 0.0.0.0 --port 7860 --reload"] - ports: - - 7860:7860 - - 5678:5678 - restart: on-failure - - frontend: - build: - context: ./src/frontend - dockerfile: ./dev.Dockerfile - args: - - BACKEND_URL=http://backend:7860 - ports: - - "3000:3000" - volumes: - - ./src/frontend/public:/home/node/app/public - - ./src/frontend/src:/home/node/app/src - - ./src/frontend/package.json:/home/node/app/package.json - restart: on-failure \ No newline at end of file +version: "3.4" + +services: + backend: + volumes: + - ./:/app + build: + context: ./ + dockerfile: ./dev.Dockerfile + command: + [ + "sh", + "-c", + "pip install debugpy -t /tmp && python /tmp/debugpy --wait-for-client --listen 0.0.0.0:5678 -m uvicorn --factory src.backend.langflow.main:create_app --host 0.0.0.0 --port 7860 --reload", + ] + ports: + - 7860:7860 + - 5678:5678 + restart: on-failure + + frontend: + build: + context: ./src/frontend + dockerfile: ./dev.Dockerfile + args: + - BACKEND_URL=http://backend:7860 + ports: + - "3000:3000" + volumes: + - ./src/frontend/public:/home/node/app/public + - ./src/frontend/src:/home/node/app/src + - ./src/frontend/package.json:/home/node/app/package.json + restart: on-failure diff --git a/docker-compose.yml b/docker-compose.yml index 755d0794d..13d39e1f3 100644 --- a/docker-compose.yml +++ b/docker-compose.yml @@ -1,4 +1,4 @@ -version: '3' +version: "3" services: backend: @@ -9,7 +9,7 @@ services: - "7860:7860" volumes: - ./:/app - command: bash -c "uvicorn langflow.main:app --host 0.0.0.0 --port 7860 --reload" + command: bash -c "uvicorn --factory src.backend.langflow.main:create_app --host 0.0.0.0 --port 7860 --reload" frontend: build: @@ -22,7 +22,7 @@ services: ports: - "3000:3000" volumes: - - ./src/frontend/public:/home/node/app/public - - ./src/frontend/src:/home/node/app/src - - ./src/frontend/package.json:/home/node/app/package.json - restart: on-failure \ No newline at end of file + - ./src/frontend/public:/home/node/app/public + - ./src/frontend/src:/home/node/app/src + - ./src/frontend/package.json:/home/node/app/package.json + restart: on-failure diff --git a/docker_example/docker-compose.yml b/docker_example/docker-compose.yml index 40ceb2504..ffb033104 100644 --- a/docker_example/docker-compose.yml +++ b/docker_example/docker-compose.yml @@ -6,5 +6,5 @@ services: context: . dockerfile: Dockerfile ports: - - "5003:5003" + - "7860:7860" command: langflow --host 0.0.0.0 diff --git a/docs/docs/components/embeddings.mdx b/docs/docs/components/embeddings.mdx index 644d91fee..5b134f08d 100644 --- a/docs/docs/components/embeddings.mdx +++ b/docs/docs/components/embeddings.mdx @@ -73,3 +73,25 @@ Used to load [OpenAI’s](https://openai.com/) embedding models. - **request_timeout:** Used to specify the maximum amount of time, in milliseconds, to wait for a response from the OpenAI API when generating embeddings for a given text. - **tiktoken_model_name:** Used to count the number of tokens in documents to constrain them to be under a certain limit. By default, when set to None, this will be the same as the embedding model name. + +--- + +### VertexAIEmbeddings + +Wrapper around [Google Vertex AI](https://cloud.google.com/vertex-ai) [Embeddings API](https://cloud.google.com/vertex-ai/docs/generative-ai/embeddings/get-text-embeddings). + +:::info +Vertex AI is a cloud computing platform offered by Google Cloud Platform (GCP). It provides access, management, and development of applications and services through global data centers. To use Vertex AI PaLM, you need to have the [google-cloud-aiplatform](https://pypi.org/project/google-cloud-aiplatform/) Python package installed and credentials configured for your environment. +::: + +- **credentials:** The default custom credentials (google.auth.credentials.Credentials) to use. +- **location:** The default location to use when making API calls – defaults to `us-central1`. +- **max_output_tokens:** Token limit determines the maximum amount of text output from one prompt – defaults to `128`. +- **model_name:** The name of the Vertex AI large language model – defaults to `text-bison`. +- **project:** The default GCP project to use when making Vertex API calls. +- **request_parallelism:** The amount of parallelism allowed for requests issued to VertexAI models – defaults to `5`. +- **temperature:** Tunes the degree of randomness in text generations. Should be a non-negative value – defaults to `0`. +- **top_k:** How the model selects tokens for output, the next token is selected from – defaults to `40`. +- **top_p:** Tokens are selected from most probable to least until the sum of their – defaults to `0.95`. +- **tuned_model_name:** The name of a tuned model. If provided, model_name is ignored. +- **verbose:** This parameter is used to control the level of detail in the output of the chain. When set to True, it will print out some internal states of the chain while it is being run, which can help debug and understand the chain's behavior. If set to False, it will suppress the verbose output – defaults to `False`. \ No newline at end of file diff --git a/docs/docs/components/llms.mdx b/docs/docs/components/llms.mdx index ccca8fdd4..088556d2f 100644 --- a/docs/docs/components/llms.mdx +++ b/docs/docs/components/llms.mdx @@ -185,6 +185,28 @@ Wrapper around [Google Vertex AI](https://cloud.google.com/vertex-ai) large lang Vertex AI is a cloud computing platform offered by Google Cloud Platform (GCP). It provides access, management, and development of applications and services through global data centers. To use Vertex AI PaLM, you need to have the [google-cloud-aiplatform](https://pypi.org/project/google-cloud-aiplatform/) Python package installed and credentials configured for your environment. ::: +- **credentials:** The default custom credentials (google.auth.credentials.Credentials) to use. +- **location:** The default location to use when making API calls – defaults to `us-central1`. +- **max_output_tokens:** Token limit determines the maximum amount of text output from one prompt – defaults to `128`. +- **model_name:** The name of the Vertex AI large language model – defaults to `text-bison`. +- **project:** The default GCP project to use when making Vertex API calls. +- **request_parallelism:** The amount of parallelism allowed for requests issued to VertexAI models – defaults to `5`. +- **temperature:** Tunes the degree of randomness in text generations. Should be a non-negative value – defaults to `0`. +- **top_k:** How the model selects tokens for output, the next token is selected from – defaults to `40`. +- **top_p:** Tokens are selected from most probable to least until the sum of their – defaults to `0.95`. +- **tuned_model_name:** The name of a tuned model. If provided, model_name is ignored. +- **verbose:** This parameter is used to control the level of detail in the output of the chain. When set to True, it will print out some internal states of the chain while it is being run, which can help debug and understand the chain's behavior. If set to False, it will suppress the verbose output – defaults to `False`. + +--- + +### ChatVertexAI + +Wrapper around [Google Vertex AI](https://cloud.google.com/vertex-ai) large language models. + +:::info +Vertex AI is a cloud computing platform offered by Google Cloud Platform (GCP). It provides access, management, and development of applications and services through global data centers. To use Vertex AI PaLM, you need to have the [google-cloud-aiplatform](https://pypi.org/project/google-cloud-aiplatform/) Python package installed and credentials configured for your environment. +::: + - **credentials:** The default custom credentials (google.auth.credentials.Credentials) to use. - **location:** The default location to use when making API calls – defaults to `us-central1`. - **max_output_tokens:** Token limit determines the maximum amount of text output from one prompt – defaults to `128`. diff --git a/docs/docs/components/tools.mdx b/docs/docs/components/tools.mdx index 76ce93a01..c92d6eee0 100644 --- a/docs/docs/components/tools.mdx +++ b/docs/docs/components/tools.mdx @@ -6,4 +6,58 @@ import Admonition from '@theme/Admonition';

We appreciate your understanding as we polish our documentation – it may contain some rough edges. Share your feedback or report issues to help us improve! πŸ› οΈπŸ“

- \ No newline at end of file + + + +### 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. + +**Params** + +- **Api Wrapper:** A BingSearchAPIWrapper component that takes the search URL and a subscription key. + + +### Calculator + +The calculator tool provides mathematical calculation capabilities to an agent by leveraging an LLMMathChain. It allows the agent to perform math when needed to answer questions. + +**Params** + +- **LLM:** Language Model to use in the calculation. + + +### GoogleSearchResults + +A wrapper around Google Search. Useful for when the user needs to answer questions about with more control over the JSON data returned from the API. It returns the full JSON response configured based on the parameters passed to the API wrapper. + +**Params** + +- **Api Wrapper:** A GoogleSearchAPIWrapper with Google API key and CSE ID + + +### GoogleSearchRun + +A quick wrapper around Google Search. It executes the search query and returns just the first result snippet from the highest-priority result type. + +**Params** + +- **Api Wrapper:** A GoogleSearchAPIWrapper with Google API key and CSE ID + + +### GoogleSerperRun + +A low-cost Google Search API. + +**Params** + +- **Api Wrapper:** A GoogleSerperAPIWrapper component with API key and result keys + + +### InfoSQLDatabaseTool + +Tool for getting metadata about a SQL database. The input to this tool is a comma-separated list of tables, and the output is the schema and sample rows for those tables. Example Input: `β€œtable1`, `table2`, `table3”`. + +**Params** + +- **Db:** SQLDatabase to query. \ No newline at end of file diff --git a/docs/docs/guidelines/custom-component.mdx b/docs/docs/guidelines/custom-component.mdx index bcd637222..816f8356b 100644 --- a/docs/docs/guidelines/custom-component.mdx +++ b/docs/docs/guidelines/custom-component.mdx @@ -65,7 +65,6 @@ class DocumentProcessor(CustomComponent): light: "img/document_processor.png", }} style={{ - width: "40%", margin: "0 auto", display: "flex", justifyContent: "center", @@ -385,19 +384,19 @@ Your structure should look something like this: ### Loading Custom Components -You can specify the path to your custom components using the _`--components-path`_ argument when running the Langflow CLI, as shown below: - -```bash -langflow --components-path /path/to/components -``` - -Alternatively, you can set the `LANGFLOW_COMPONENTS_PATH` environment variable: +The recommended way to load custom components is to set the _`LANGFLOW_COMPONENTS_PATH`_ environment variable to the path of your custom components directory. Then, run the Langflow CLI as usual. ```bash export LANGFLOW_COMPONENTS_PATH=/path/to/components langflow ``` +Alternatively, you can specify the path to your custom components using the _`--components-path`_ argument when running the Langflow CLI, as shown below: + +```bash +langflow --components-path /path/to/components +``` + Langflow will attempt to load all of the components found in the specified directory. If a component fails to load due to errors in the component's code, Langflow will print an error message to the console but will continue loading the rest of the components. ### Interacting with Custom Components diff --git a/docs/docs/guides/loading_document.mdx b/docs/docs/guides/loading_document.mdx index d760e9124..73fb85968 100644 --- a/docs/docs/guides/loading_document.mdx +++ b/docs/docs/guides/loading_document.mdx @@ -43,7 +43,7 @@ This guide takes you through the process of augmenting the "Basic Chat with Prom 8. Connect this loader to the `{context}` variable that we just added. -9. In the "Web Page" field, enter "https://langflow.org/how-upload-examples". +9. In the "Web Page" field, enter "https://docs.langflow.org/how-upload-examples". 10. 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"sha256:f152639f1f2103d7f59a56e2aec5f9398a75a80830991d0d68aac5c2b9c32a77"}, + {file = "types_passlib-1.7.7.13-py3-none-any.whl", hash = "sha256:414b5ee9c88313357c9261cfcf816509b1e8e4673f0796bd61e9ef249f6fe076"}, +] + [[package]] name = "types-pillow" version = "9.5.0.6" @@ -6816,15 +6979,40 @@ files = [ {file = "types_Pillow-9.5.0.6-py3-none-any.whl", hash = "sha256:1d238abaa9d529b04941d805b7f4d3f7df30702bb14521ec507617f117406fb4"}, ] +[[package]] +name = "types-pyasn1" +version = "0.4.0.6" +description = "Typing stubs for pyasn1" +optional = false +python-versions = "*" +files = [ + {file = "types-pyasn1-0.4.0.6.tar.gz", hash = "sha256:8f1965d0b79152f9d1efc89f9aa9a8cdda7cd28b2619df6737c095cbedeff98b"}, + {file = "types_pyasn1-0.4.0.6-py3-none-any.whl", hash = "sha256:dd5fc818864e63a66cd714be0a7a59a493f4a81b87ee9ac978c41f1eaa9a0cef"}, +] + +[[package]] +name = "types-python-jose" +version = "3.3.4.8" +description = "Typing stubs for python-jose" +optional = false +python-versions = "*" +files = [ + {file = "types-python-jose-3.3.4.8.tar.gz", hash = "sha256:3c316675c3cee059ccb9aff87358254344915239fa7f19cee2787155a7db14ac"}, + {file = "types_python_jose-3.3.4.8-py3-none-any.whl", hash = "sha256:95592273443b45dc5cc88f7c56aa5a97725428753fb738b794e63ccb4904954e"}, +] + +[package.dependencies] +types-pyasn1 = "*" + [[package]] name = "types-pytz" -version = "2023.3.0.0" +version = "2023.3.0.1" description = "Typing stubs for pytz" optional = false python-versions = "*" files = [ - {file = "types-pytz-2023.3.0.0.tar.gz", hash = "sha256:ecdc70d543aaf3616a7e48631543a884f74205f284cefd6649ddf44c6a820aac"}, - {file = "types_pytz-2023.3.0.0-py3-none-any.whl", hash = "sha256:4fc2a7fbbc315f0b6630e0b899fd6c743705abe1094d007b0e612d10da15e0f3"}, + {file = "types-pytz-2023.3.0.1.tar.gz", hash = "sha256:1a7b8d4aac70981cfa24478a41eadfcd96a087c986d6f150d77e3ceb3c2bdfab"}, + {file = "types_pytz-2023.3.0.1-py3-none-any.whl", hash = "sha256:65152e872137926bb67a8fe6cc9cfd794365df86650c5d5fdc7b167b0f38892e"}, ] [[package]] @@ -7059,20 +7247,15 @@ test = ["Cython (>=0.29.32,<0.30.0)", "aiohttp", "flake8 (>=3.9.2,<3.10.0)", "my [[package]] name = "validators" -version = "0.20.0" -description = "Python Data Validation for Humansβ„’." +version = "0.21.0" +description = "Python Data Validation for Humansβ„’" optional = false -python-versions = ">=3.4" +python-versions = ">=3.8,<4.0" files = [ - {file = "validators-0.20.0.tar.gz", hash = "sha256:24148ce4e64100a2d5e267233e23e7afeb55316b47d30faae7eb6e7292bc226a"}, + {file = "validators-0.21.0-py3-none-any.whl", hash = "sha256:3470db6f2384c49727ee319afa2e97aec3f8fad736faa6067e0fd7f9eaf2c551"}, + {file = "validators-0.21.0.tar.gz", hash = "sha256:245b98ab778ed9352a7269c6a8f6c2a839bed5b2a7e3e60273ce399d247dd4b3"}, ] -[package.dependencies] -decorator = ">=3.4.0" - -[package.extras] -test = ["flake8 (>=2.4.0)", "isort (>=4.2.2)", "pytest (>=2.2.3)"] - [[package]] name = "watchfiles" version = "0.19.0" @@ -7245,13 +7428,13 @@ files = [ [[package]] name = "wheel" -version = "0.41.0" +version = "0.41.1" description = "A built-package format for Python" optional = false python-versions = ">=3.7" files = [ - {file = "wheel-0.41.0-py3-none-any.whl", hash = "sha256:7e9be3bbd0078f6147d82ed9ed957e323e7708f57e134743d2edef3a7b7972a9"}, - {file = "wheel-0.41.0.tar.gz", hash = "sha256:55a0f0a5a84869bce5ba775abfd9c462e3a6b1b7b7ec69d72c0b83d673a5114d"}, + {file = "wheel-0.41.1-py3-none-any.whl", hash = "sha256:473219bd4cbedc62cea0cb309089b593e47c15c4a2531015f94e4e3b9a0f6981"}, + {file = "wheel-0.41.1.tar.gz", hash = "sha256:12b911f083e876e10c595779709f8a88a59f45aacc646492a67fe9ef796c1b47"}, ] [package.extras] @@ -7564,4 +7747,4 @@ local = ["ctransformers", "llama-cpp-python", "sentence-transformers"] [metadata] lock-version = "2.0" python-versions = ">=3.9,<3.11" -content-hash = "154238df4e8b249196011f592d63e2fad0e18316960e400037f54453c813d47a" +content-hash = "8ad605e7ea30f2819dbc03eac6c2e67576a98d1efa4890912414a7568fc27441" diff --git a/pyproject.toml b/pyproject.toml index 849130a74..ba4c9b37f 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "langflow" -version = "0.4.0" +version = "0.4.11" description = "A Python package with a built-in web application" authors = ["Logspace "] maintainers = [ @@ -19,7 +19,7 @@ readme = "README.md" keywords = ["nlp", "langchain", "openai", "gpt", "gui"] packages = [{ include = "langflow", from = "src/backend" }] include = ["src/backend/langflow/*", "src/backend/langflow/**/*"] - +documentation = "https://docs.langflow.org" [tool.poetry.scripts] langflow = "langflow.__main__:main" @@ -33,7 +33,7 @@ google-search-results = "^2.4.1" google-api-python-client = "^2.79.0" typer = "^0.9.0" gunicorn = "^21.1.0" -langchain = "^0.0.250" +langchain = "^0.0.256" openai = "^0.27.8" pandas = "^2.0.0" chromadb = "^0.3.21" @@ -45,7 +45,7 @@ unstructured = "^0.7.0" pypdf = "^3.11.0" lxml = "^4.9.2" pysrt = "^1.1.2" -fake-useragent = "^1.1.3" +fake-useragent = "^1.2.1" docstring-parser = "^0.15" psycopg2-binary = "^2.9.6" pyarrow = "^12.0.0" @@ -63,7 +63,7 @@ python-multipart = "^0.0.6" sqlmodel = "^0.0.8" faiss-cpu = "^1.7.4" anthropic = "^0.3.0" -orjson = "^3.9.1" +orjson = "3.9.3" multiprocess = "^0.70.14" cachetools = "^5.3.1" types-cachetools = "^5.3.0.5" @@ -76,6 +76,12 @@ google-cloud-aiplatform = "^1.26.1" psycopg = "^3.1.9" psycopg-binary = "^3.1.9" fastavro = "^1.8.0" +langchain-experimental = "^0.0.8" +alembic = "^1.11.2" +passlib = "^1.7.4" +bcrypt = "^4.0.1" +python-jose = "^3.3.0" +metaphor-python = "^0.1.11" [tool.poetry.group.dev.dependencies] black = "^23.1.0" @@ -91,6 +97,8 @@ pandas-stubs = "^2.0.0.230412" types-pillow = "^9.5.0.2" types-appdirs = "^1.4.3.5" types-pyyaml = "^6.0.12.8" +types-python-jose = "^3.3.4.8" +types-passlib = "^1.7.7.13" [tool.poetry.extras] diff --git a/src/backend/Dockerfile b/src/backend/Dockerfile index 13f2dc62e..8257d89b0 100644 --- a/src/backend/Dockerfile +++ b/src/backend/Dockerfile @@ -11,4 +11,4 @@ RUN rm *.whl EXPOSE 80 -CMD [ "uvicorn", "--host", "0.0.0.0", "--port", "80", "langflow.backend.app:app" ] +CMD [ "uvicorn", "--host", "0.0.0.0", "--port", "7860", "--factory", "langflow.main:create_app" ] diff --git a/src/backend/langflow/__init__.py b/src/backend/langflow/__init__.py index 5920369e2..f6eb836cc 100644 --- a/src/backend/langflow/__init__.py +++ b/src/backend/langflow/__init__.py @@ -1,5 +1,7 @@ from importlib import metadata -from langflow.cache import cache_manager + +# Deactivate cache manager for now +# from langflow.services.cache import cache_manager from langflow.processing.process import load_flow_from_json from langflow.interface.custom.custom_component import CustomComponent diff --git a/src/backend/langflow/__main__.py b/src/backend/langflow/__main__.py index 58789908a..c86e9863f 100644 --- a/src/backend/langflow/__main__.py +++ b/src/backend/langflow/__main__.py @@ -1,7 +1,8 @@ -import os import sys import time import httpx +from langflow.services.manager import initialize_settings_manager +from langflow.services.utils import get_settings_manager from langflow.utils.util import get_number_of_workers from multiprocess import Process # type: ignore import platform @@ -13,7 +14,6 @@ from rich import box from rich import print as rprint import typer from langflow.main import setup_app -from langflow.settings import settings from langflow.utils.logger import configure, logger import webbrowser from dotenv import load_dotenv @@ -25,49 +25,26 @@ def update_settings( config: str, cache: str, dev: bool = False, - database_url: Optional[str] = None, remove_api_keys: bool = False, components_path: Optional[Path] = None, ): """Update the settings from a config file.""" # Check for database_url in the environment variables - database_url = database_url or os.getenv("langflow_database_url") - + initialize_settings_manager() + settings_manager = get_settings_manager() if config: logger.debug(f"Loading settings from {config}") - settings.update_from_yaml(config, dev=dev) - if database_url: - settings.update_settings(database_url=database_url) + settings_manager.settings.update_from_yaml(config, dev=dev) if remove_api_keys: logger.debug(f"Setting remove_api_keys to {remove_api_keys}") - settings.update_settings(remove_api_keys=remove_api_keys) + settings_manager.settings.update_settings(REMOVE_API_KEYS=remove_api_keys) if cache: logger.debug(f"Setting cache to {cache}") - settings.update_settings(cache=cache) + settings_manager.settings.update_settings(CACHE=cache) if components_path: logger.debug(f"Adding component path {components_path}") - settings.update_settings(components_path=components_path) - - -def load_params(): - """ - Load the parameters from the environment variables. - """ - global_vars = globals() - - for key, value in global_vars.items(): - env_key = f"LANGFLOW_{key.upper()}" - if env_key in os.environ: - if isinstance(value, bool): - # Handle booleans - global_vars[key] = os.getenv(env_key, str(value)).lower() == "true" - elif isinstance(value, int): - # Handle integers - global_vars[key] = int(os.getenv(env_key, str(value))) - elif isinstance(value, str) or value is None: - # Handle strings and None values - global_vars[key] = os.getenv(env_key, str(value)) + settings_manager.settings.update_settings(COMPONENTS_PATH=components_path) def serve_on_jcloud(): @@ -131,10 +108,12 @@ def serve( help="Path to the directory containing custom components.", envvar="LANGFLOW_COMPONENTS_PATH", ), - config: str = typer.Option("config.yaml", help="Path to the configuration file."), + config: str = typer.Option( + Path(__file__).parent / "config.yaml", help="Path to the configuration file." + ), # .env file param env_file: Path = typer.Option( - ".env", help="Path to the .env file containing environment variables." + None, help="Path to the .env file containing environment variables." ), log_level: str = typer.Option( "critical", help="Logging level.", envvar="LANGFLOW_LOG_LEVEL" @@ -149,11 +128,13 @@ def serve( ), jcloud: bool = typer.Option(False, help="Deploy on Jina AI Cloud"), dev: bool = typer.Option(False, help="Run in development mode (may contain bugs)"), - database_url: str = typer.Option( - None, - help="Database URL to connect to. If not provided, a local SQLite database will be used.", - envvar="LANGFLOW_DATABASE_URL", - ), + # This variable does not work but is set by the .env file + # and works with Pydantic + # database_url: str = typer.Option( + # None, + # help="Database URL to connect to. If not provided, a local SQLite database will be used.", + # envvar="LANGFLOW_DATABASE_URL", + # ), path: str = typer.Option( None, help="Path to the frontend directory containing build files. This is for development purposes only.", @@ -169,6 +150,11 @@ def serve( help="Remove API keys from the projects saved in the database.", envvar="LANGFLOW_REMOVE_API_KEYS", ), + backend_only: bool = typer.Option( + False, + help="Run only the backend server without the frontend.", + envvar="LANGFLOW_BACKEND_ONLY", + ), ): """ Run the Langflow server. @@ -176,7 +162,6 @@ def serve( # override env variables with .env file if env_file: load_dotenv(env_file, override=True) - load_params() if jcloud: return serve_on_jcloud() @@ -185,14 +170,13 @@ def serve( update_settings( config, dev=dev, - database_url=database_url, remove_api_keys=remove_api_keys, cache=cache, components_path=components_path, ) # create path object if path is provided static_files_dir: Optional[Path] = Path(path) if path else None - app = setup_app(static_files_dir=static_files_dir) + app = setup_app(static_files_dir=static_files_dir, backend_only=backend_only) # check if port is being used if is_port_in_use(port, host): port = get_free_port(port) @@ -204,6 +188,10 @@ def serve( "timeout": timeout, } + # Define an env variable to know if we are just testing the server + if "pytest" in sys.modules: + return + if platform.system() in ["Windows"]: # Run using uvicorn on MacOS and Windows # Windows doesn't support gunicorn diff --git a/src/backend/langflow/alembic.ini b/src/backend/langflow/alembic.ini new file mode 100644 index 000000000..379661422 --- /dev/null +++ b/src/backend/langflow/alembic.ini @@ -0,0 +1,113 @@ +# A generic, single database configuration. + +[alembic] +# path to migration scripts +script_location = alembic + +# template used to generate migration file names; The default value is %%(rev)s_%%(slug)s +# Uncomment the line below if you want the files to be prepended with date and time +# see https://alembic.sqlalchemy.org/en/latest/tutorial.html#editing-the-ini-file +# for all available tokens +# file_template = %%(year)d_%%(month).2d_%%(day).2d_%%(hour).2d%%(minute).2d-%%(rev)s_%%(slug)s + +# sys.path path, will be prepended to sys.path if present. +# defaults to the current working directory. +prepend_sys_path = . + +# timezone to use when rendering the date within the migration file +# as well as the filename. +# If specified, requires the python-dateutil library that can be +# installed by adding `alembic[tz]` to the pip requirements +# string value is passed to dateutil.tz.gettz() +# leave blank for localtime +# timezone = + +# max length of characters to apply to the +# "slug" field +# truncate_slug_length = 40 + +# set to 'true' to run the environment during +# the 'revision' command, regardless of autogenerate +# revision_environment = false + +# set to 'true' to allow .pyc and .pyo files without +# a source .py file to be detected as revisions in the +# versions/ directory +# sourceless = false + +# version location specification; This defaults +# to alembic/versions. When using multiple version +# directories, initial revisions must be specified with --version-path. +# The path separator used here should be the separator specified by "version_path_separator" below. +# version_locations = %(here)s/bar:%(here)s/bat:alembic/versions + +# version path separator; As mentioned above, this is the character used to split +# version_locations. The default within new alembic.ini files is "os", which uses os.pathsep. +# If this key is omitted entirely, it falls back to the legacy behavior of splitting on spaces and/or commas. +# Valid values for version_path_separator are: +# +# version_path_separator = : +# version_path_separator = ; +# version_path_separator = space +version_path_separator = os # Use os.pathsep. Default configuration used for new projects. + +# set to 'true' to search source files recursively +# in each "version_locations" directory +# new in Alembic version 1.10 +# recursive_version_locations = false + +# the output encoding used when revision files +# are written from script.py.mako +# output_encoding = utf-8 + +# This is the path to the db in the root of the project. +# When the user runs the Langflow the database url will +# be set dinamically. +sqlalchemy.url = sqlite:///../../../langflow.db + + +[post_write_hooks] +# post_write_hooks defines scripts or Python functions that are run +# on newly generated revision scripts. See the documentation for further +# detail and examples + +# format using "black" - use the console_scripts runner, against the "black" entrypoint +# hooks = black +# black.type = console_scripts +# black.entrypoint = black +# black.options = -l 79 REVISION_SCRIPT_FILENAME + +# Logging configuration +[loggers] +keys = root,sqlalchemy,alembic + +[handlers] +keys = console + +[formatters] +keys = generic + +[logger_root] +level = WARN +handlers = console +qualname = + +[logger_sqlalchemy] +level = WARN +handlers = +qualname = sqlalchemy.engine + +[logger_alembic] +level = INFO +handlers = +qualname = alembic + +[handler_console] +class = StreamHandler +args = (sys.stderr,) +level = NOTSET +formatter = generic + +[formatter_generic] +format = %(levelname)-5.5s [%(name)s] %(message)s +datefmt = %H:%M:%S diff --git a/src/backend/langflow/alembic/README b/src/backend/langflow/alembic/README new file mode 100644 index 000000000..98e4f9c44 --- /dev/null +++ b/src/backend/langflow/alembic/README @@ -0,0 +1 @@ +Generic single-database configuration. \ No newline at end of file diff --git a/src/backend/langflow/alembic/env.py b/src/backend/langflow/alembic/env.py new file mode 100644 index 000000000..310894431 --- /dev/null +++ b/src/backend/langflow/alembic/env.py @@ -0,0 +1,78 @@ +from logging.config import fileConfig + +from sqlalchemy import engine_from_config +from sqlalchemy import pool + +from alembic import context + +from langflow.services.database.manager import SQLModel + +# this is the Alembic Config object, which provides +# access to the values within the .ini file in use. +config = context.config + +# Interpret the config file for Python logging. +# This line sets up loggers basically. +if config.config_file_name is not None: + fileConfig(config.config_file_name) + +# add your model's MetaData object here +# for 'autogenerate' support +# from myapp import mymodel +# target_metadata = mymodel.Base.metadata +target_metadata = SQLModel.metadata + +# other values from the config, defined by the needs of env.py, +# can be acquired: +# my_important_option = config.get_main_option("my_important_option") +# ... etc. + + +def run_migrations_offline() -> None: + """Run migrations in 'offline' mode. + + This configures the context with just a URL + and not an Engine, though an Engine is acceptable + here as well. By skipping the Engine creation + we don't even need a DBAPI to be available. + + Calls to context.execute() here emit the given string to the + script output. + + """ + url = config.get_main_option("sqlalchemy.url") + context.configure( + url=url, + target_metadata=target_metadata, + literal_binds=True, + dialect_opts={"paramstyle": "named"}, + ) + + with context.begin_transaction(): + context.run_migrations() + + +def run_migrations_online() -> None: + """Run migrations in 'online' mode. + + In this scenario we need to create an Engine + and associate a connection with the context. + + """ + connectable = engine_from_config( + config.get_section(config.config_ini_section, {}), + prefix="sqlalchemy.", + poolclass=pool.NullPool, + ) + + with connectable.connect() as connection: + context.configure(connection=connection, target_metadata=target_metadata) + + with context.begin_transaction(): + context.run_migrations() + + +if context.is_offline_mode(): + run_migrations_offline() +else: + run_migrations_online() diff --git a/src/backend/langflow/alembic/script.py.mako b/src/backend/langflow/alembic/script.py.mako new file mode 100644 index 000000000..6ce335109 --- /dev/null +++ b/src/backend/langflow/alembic/script.py.mako @@ -0,0 +1,27 @@ +"""${message} + +Revision ID: ${up_revision} +Revises: ${down_revision | comma,n} +Create Date: ${create_date} + +""" +from typing import Sequence, Union + +from alembic import op +import sqlalchemy as sa +import sqlmodel +${imports if imports else ""} + +# revision identifiers, used by Alembic. +revision: str = ${repr(up_revision)} +down_revision: Union[str, None] = ${repr(down_revision)} +branch_labels: Union[str, Sequence[str], None] = ${repr(branch_labels)} +depends_on: Union[str, Sequence[str], None] = ${repr(depends_on)} + + +def upgrade() -> None: + ${upgrades if upgrades else "pass"} + + +def downgrade() -> None: + ${downgrades if downgrades else "pass"} diff --git a/src/backend/langflow/alembic/versions/0a534bdfd84b_remove_flowstyles_table.py b/src/backend/langflow/alembic/versions/0a534bdfd84b_remove_flowstyles_table.py new file mode 100644 index 000000000..0100df44d --- /dev/null +++ b/src/backend/langflow/alembic/versions/0a534bdfd84b_remove_flowstyles_table.py @@ -0,0 +1,42 @@ +"""Remove FlowStyles table + +Revision ID: 0a534bdfd84b +Revises: 4814b6f4abfd +Create Date: 2023-08-07 14:09:06.844104 + +""" +from typing import Sequence, Union + +from alembic import op +import sqlalchemy as sa + + +# revision identifiers, used by Alembic. +revision: str = "0a534bdfd84b" +down_revision: Union[str, None] = "4814b6f4abfd" +branch_labels: Union[str, Sequence[str], None] = None +depends_on: Union[str, Sequence[str], None] = None + + +def upgrade() -> None: + # ### commands auto generated by Alembic - please adjust! ### + op.drop_table("flowstyle") + # ### end Alembic commands ### + + +def downgrade() -> None: + # ### commands auto generated by Alembic - please adjust! ### + op.create_table( + "flowstyle", + sa.Column("color", sa.VARCHAR(), nullable=False), + sa.Column("emoji", sa.VARCHAR(), nullable=False), + sa.Column("flow_id", sa.CHAR(length=32), nullable=True), + sa.Column("id", sa.CHAR(length=32), nullable=False), + sa.ForeignKeyConstraint( + ["flow_id"], + ["flow.id"], + ), + sa.PrimaryKeyConstraint("id"), + sa.UniqueConstraint("id"), + ) + # ### end Alembic commands ### diff --git a/src/backend/langflow/alembic/versions/4814b6f4abfd_add_flow_table.py b/src/backend/langflow/alembic/versions/4814b6f4abfd_add_flow_table.py new file mode 100644 index 000000000..0b2f32657 --- /dev/null +++ b/src/backend/langflow/alembic/versions/4814b6f4abfd_add_flow_table.py @@ -0,0 +1,65 @@ +"""Add Flow table + +Revision ID: 4814b6f4abfd +Revises: +Create Date: 2023-08-05 17:47:42.879824 + +""" + +import contextlib +from typing import Sequence, Union + +from alembic import op +import sqlalchemy as sa +import sqlmodel + + +# revision identifiers, used by Alembic. +revision: str = "4814b6f4abfd" +down_revision: Union[str, None] = None +branch_labels: Union[str, Sequence[str], None] = None +depends_on: Union[str, Sequence[str], None] = None + + +def upgrade() -> None: + # ### commands auto generated by Alembic - please adjust! ### + + # This suppress is used to not break the migration if the table already exists. + with contextlib.suppress(sa.exc.OperationalError): + op.create_table( + "flow", + sa.Column("data", sa.JSON(), nullable=True), + sa.Column("name", sqlmodel.sql.sqltypes.AutoString(), nullable=False), + sa.Column("description", sqlmodel.sql.sqltypes.AutoString(), nullable=True), + sa.Column("id", sqlmodel.sql.sqltypes.GUID(), nullable=False), + sa.PrimaryKeyConstraint("id"), + sa.UniqueConstraint("id"), + ) + op.create_index( + op.f("ix_flow_description"), "flow", ["description"], unique=False + ) + op.create_index(op.f("ix_flow_name"), "flow", ["name"], unique=False) + with contextlib.suppress(sa.exc.OperationalError): + op.create_table( + "flowstyle", + sa.Column("color", sqlmodel.sql.sqltypes.AutoString(), nullable=False), + sa.Column("emoji", sqlmodel.sql.sqltypes.AutoString(), nullable=False), + sa.Column("flow_id", sqlmodel.sql.sqltypes.GUID(), nullable=True), + sa.Column("id", sqlmodel.sql.sqltypes.GUID(), nullable=False), + sa.ForeignKeyConstraint( + ["flow_id"], + ["flow.id"], + ), + sa.PrimaryKeyConstraint("id"), + sa.UniqueConstraint("id"), + ) + # ### end Alembic commands ### + + +def downgrade() -> None: + # ### commands auto generated by Alembic - please adjust! ### + op.drop_table("flowstyle") + op.drop_index(op.f("ix_flow_name"), table_name="flow") + op.drop_index(op.f("ix_flow_description"), table_name="flow") + op.drop_table("flow") + # ### end Alembic commands ### diff --git a/src/backend/langflow/api/router.py b/src/backend/langflow/api/router.py index b9c51c11e..ea1938a75 100644 --- a/src/backend/langflow/api/router.py +++ b/src/backend/langflow/api/router.py @@ -5,7 +5,6 @@ from langflow.api.v1 import ( endpoints_router, validate_router, flows_router, - flow_styles_router, component_router, ) @@ -17,4 +16,3 @@ router.include_router(endpoints_router) router.include_router(validate_router) router.include_router(component_router) router.include_router(flows_router) -router.include_router(flow_styles_router) diff --git a/src/backend/langflow/api/utils.py b/src/backend/langflow/api/utils.py index 91fa93ea4..0fb53e541 100644 --- a/src/backend/langflow/api/utils.py +++ b/src/backend/langflow/api/utils.py @@ -66,3 +66,30 @@ def merge_nested_dicts(dict1, dict2): else: dict1[key] = value return dict1 + + +def merge_nested_dicts_with_renaming(dict1, dict2): + for key, value in dict2.items(): + if ( + key in dict1 + and isinstance(value, dict) + and isinstance(dict1.get(key), dict) + ): + for sub_key, sub_value in value.items(): + if sub_key in dict1[key]: + new_key = get_new_key(dict1[key], sub_key) + dict1[key][new_key] = sub_value + else: + dict1[key][sub_key] = sub_value + else: + dict1[key] = value + return dict1 + + +def get_new_key(dictionary, original_key): + counter = 1 + new_key = original_key + " (" + str(counter) + ")" + while new_key in dictionary: + counter += 1 + new_key = original_key + " (" + str(counter) + ")" + return new_key diff --git a/src/backend/langflow/api/v1/__init__.py b/src/backend/langflow/api/v1/__init__.py index f001152a9..b6e7b36d8 100644 --- a/src/backend/langflow/api/v1/__init__.py +++ b/src/backend/langflow/api/v1/__init__.py @@ -2,7 +2,6 @@ from langflow.api.v1.endpoints import router as endpoints_router from langflow.api.v1.validate import router as validate_router from langflow.api.v1.chat import router as chat_router from langflow.api.v1.flows import router as flows_router -from langflow.api.v1.flow_styles import router as flow_styles_router from langflow.api.v1.components import router as component_router __all__ = [ @@ -11,5 +10,4 @@ __all__ = [ "component_router", "validate_router", "flows_router", - "flow_styles_router", ] diff --git a/src/backend/langflow/api/v1/chat.py b/src/backend/langflow/api/v1/chat.py index 4248bcebd..611407e8d 100644 --- a/src/backend/langflow/api/v1/chat.py +++ b/src/backend/langflow/api/v1/chat.py @@ -3,13 +3,13 @@ from fastapi.responses import StreamingResponse from langflow.api.utils import build_input_keys_response from langflow.api.v1.schemas import BuildStatus, BuiltResponse, InitResponse, StreamData -from langflow.chat.manager import ChatManager +from langflow.services import service_manager, ServiceType from langflow.graph.graph.base import Graph from langflow.utils.logger import logger from cachetools import LRUCache router = APIRouter(tags=["Chat"]) -chat_manager = ChatManager() + flow_data_store: LRUCache = LRUCache(maxsize=10) @@ -17,6 +17,7 @@ flow_data_store: LRUCache = LRUCache(maxsize=10) async def chat(client_id: str, websocket: WebSocket): """Websocket endpoint for chat.""" try: + chat_manager = service_manager.get(ServiceType.CHAT_MANAGER) if client_id in chat_manager.in_memory_cache: await chat_manager.handle_websocket(client_id, websocket) else: @@ -45,6 +46,7 @@ async def init_build(graph_data: dict, flow_id: str): return InitResponse(flowId=flow_id) # Delete from cache if already exists + chat_manager = service_manager.get(ServiceType.CHAT_MANAGER) if flow_id in chat_manager.in_memory_cache: with chat_manager.in_memory_cache._lock: chat_manager.in_memory_cache.delete(flow_id) @@ -125,9 +127,8 @@ async def stream_build(flow_id: str): vertex.build() params = vertex._built_object_repr() valid = True - logger.debug( - f"Building node {str(params)[:50]}{'...' if len(str(params)) > 50 else ''}" - ) + logger.debug(f"Building node {str(vertex.vertex_type)}") + logger.debug(f"Output: {params}") if vertex.artifacts: # The artifacts will be prompt variables # passed to build_input_keys_response @@ -156,12 +157,12 @@ async def stream_build(flow_id: str): ) else: input_keys_response = { - "input_keys": {}, + "input_keys": None, "memory_keys": [], "handle_keys": [], } yield str(StreamData(event="message", data=input_keys_response)) - + chat_manager = service_manager.get(ServiceType.CHAT_MANAGER) chat_manager.set_cache(flow_id, langchain_object) # We need to reset the chat history chat_manager.chat_history.empty_history(flow_id) diff --git a/src/backend/langflow/api/v1/components.py b/src/backend/langflow/api/v1/components.py index 1e34da2aa..4071461fb 100644 --- a/src/backend/langflow/api/v1/components.py +++ b/src/backend/langflow/api/v1/components.py @@ -1,8 +1,8 @@ from datetime import timezone from typing import List from uuid import UUID -from langflow.database.models.component import Component, ComponentModel -from langflow.database.base import get_session +from langflow.services.database.models.component import Component, ComponentModel +from langflow.services.utils import get_session from sqlmodel import Session, select from fastapi import APIRouter, Depends, HTTPException from sqlalchemy.exc import IntegrityError diff --git a/src/backend/langflow/api/v1/endpoints.py b/src/backend/langflow/api/v1/endpoints.py index f11a23340..928d6609c 100644 --- a/src/backend/langflow/api/v1/endpoints.py +++ b/src/backend/langflow/api/v1/endpoints.py @@ -1,19 +1,15 @@ from http import HTTPStatus -from typing import Annotated, Optional +from typing import Annotated, Optional, Union -from langflow.cache.utils import save_uploaded_file -from langflow.database.models.flow import Flow +from langflow.services.cache.utils import save_uploaded_file +from langflow.services.database.models.flow import Flow from langflow.processing.process import process_graph_cached, process_tweaks +from langflow.services.utils import get_settings_manager from langflow.utils.logger import logger -from langflow.settings import settings - from fastapi import APIRouter, Depends, HTTPException, UploadFile, Body from langflow.interface.custom.custom_component import CustomComponent -from langflow.interface.custom.directory_reader import ( - CustomComponentPathValueError, -) from langflow.api.v1.schemas import ( ProcessResponse, @@ -21,7 +17,7 @@ from langflow.api.v1.schemas import ( CustomComponentCode, ) -from langflow.api.utils import merge_nested_dicts +from langflow.api.utils import merge_nested_dicts_with_renaming from langflow.interface.types import ( build_langchain_types_dict, @@ -29,7 +25,7 @@ from langflow.interface.types import ( build_langchain_custom_component_list_from_path, ) -from langflow.database.base import get_session +from langflow.services.utils import get_session from sqlmodel import Session # build router @@ -38,48 +34,44 @@ router = APIRouter(tags=["Base"]) @router.get("/all") def get_all(): + logger.debug("Building langchain types dict") native_components = build_langchain_types_dict() - # custom_components is a list of dicts # need to merge all the keys into one dict custom_components_from_file = {} - if settings.components_path: - custom_component_dicts = [ - build_langchain_custom_component_list_from_path(str(path)) - for path in settings.components_path - ] + settings_manager = get_settings_manager() + if settings_manager.settings.COMPONENTS_PATH: + logger.info( + f"Building custom components from {settings_manager.settings.COMPONENTS_PATH}" + ) + + custom_component_dicts = [] + processed_paths = [] + for path in settings_manager.settings.COMPONENTS_PATH: + if str(path) in processed_paths: + continue + custom_component_dict = build_langchain_custom_component_list_from_path( + str(path) + ) + custom_component_dicts.append(custom_component_dict) + processed_paths.append(str(path)) + + logger.info(f"Loading {len(custom_component_dicts)} category(ies)") for custom_component_dict in custom_component_dicts: - custom_components_from_file = merge_nested_dicts( + # custom_component_dict is a dict of dicts + category = list(custom_component_dict.keys())[0] + logger.info( + f"Loading {len(custom_component_dict[category])} component(s) from category {category}" + ) + logger.debug(custom_component_dict) + custom_components_from_file = merge_nested_dicts_with_renaming( custom_components_from_file, custom_component_dict ) - return merge_nested_dicts(native_components, custom_components_from_file) - -@router.get("/load_custom_component_from_path") -def get_load_custom_component_from_path(path: str): - try: - data = build_langchain_custom_component_list_from_path(path) - except CustomComponentPathValueError as err: - raise HTTPException( - status_code=400, - detail={"error": type(err).__name__, "traceback": str(err)}, - ) from err - - return data - - -@router.get("/load_custom_component_from_path_TEST") -def get_load_custom_component_from_path_test(path: str): - from langflow.interface.custom.directory_reader import ( - DirectoryReader, + return merge_nested_dicts_with_renaming( + native_components, custom_components_from_file ) - reader = DirectoryReader(path, False) - file_list = reader.get_files() - data = reader.build_component_menu_list(file_list) - - return reader.filter_loaded_components(data, True) - # For backwards compatibility we will keep the old endpoint @router.post("/predict/{flow_id}", response_model=ProcessResponse) @@ -89,6 +81,7 @@ async def process_flow( inputs: Optional[dict] = None, tweaks: Optional[dict] = None, clear_cache: Annotated[bool, Body(embed=True)] = False, # noqa: F821 + session_id: Annotated[Union[None, str], Body(embed=True)] = None, # noqa: F821 session: Session = Depends(get_session), ): """ @@ -108,10 +101,10 @@ async def process_flow( graph_data = process_tweaks(graph_data, tweaks) except Exception as exc: logger.error(f"Error processing tweaks: {exc}") - response = process_graph_cached(graph_data, inputs, clear_cache) - return ProcessResponse( - result=response, + response, session_id = process_graph_cached( + graph_data, inputs, clear_cache, session_id ) + return ProcessResponse(result=response, session_id=session_id) except Exception as e: # Log stack trace logger.exception(e) diff --git a/src/backend/langflow/api/v1/flow_styles.py b/src/backend/langflow/api/v1/flow_styles.py deleted file mode 100644 index 40e292eb3..000000000 --- a/src/backend/langflow/api/v1/flow_styles.py +++ /dev/null @@ -1,83 +0,0 @@ -from uuid import UUID -from langflow.database.models.flow_style import ( - FlowStyle, - FlowStyleCreate, - FlowStyleRead, - FlowStyleUpdate, -) -from langflow.database.base import get_session -from sqlmodel import Session, select -from fastapi import APIRouter, Depends, HTTPException - - -# build router -router = APIRouter(prefix="/flow_styles", tags=["FlowStyles"]) - -# FlowStyleCreate: -# class FlowStyleBase(SQLModel): -# color: str = Field(index=True) -# emoji: str = Field(index=False) -# flow_id: UUID = Field(default=None, foreign_key="flow.id") - - -@router.post("/", response_model=FlowStyleRead) -def create_flow_style( - *, session: Session = Depends(get_session), flow_style: FlowStyleCreate -): - """Create a new flow_style.""" - db_flow_style = FlowStyle.from_orm(flow_style) - session.add(db_flow_style) - session.commit() - session.refresh(db_flow_style) - return db_flow_style - - -@router.get("/", response_model=list[FlowStyleRead]) -def read_flow_styles(*, session: Session = Depends(get_session)): - """Read all flows.""" - try: - flows = session.exec(select(FlowStyle)).all() - except Exception as e: - raise HTTPException(status_code=500, detail=str(e)) from e - return flows - - -@router.get("/{flow_styles_id}", response_model=FlowStyleRead) -def read_flow_style(*, session: Session = Depends(get_session), flow_styles_id: UUID): - """Read a flow_style.""" - if flow_style := session.get(FlowStyle, flow_styles_id): - return flow_style - else: - raise HTTPException(status_code=404, detail="FlowStyle not found") - - -@router.patch("/{flow_style_id}", response_model=FlowStyleRead) -def update_flow_style( - *, - session: Session = Depends(get_session), - flow_style_id: UUID, - flow_style: FlowStyleUpdate, -): - """Update a flow_style.""" - db_flow_style = session.get(FlowStyle, flow_style_id) - if not db_flow_style: - raise HTTPException(status_code=404, detail="FlowStyle not found") - flow_data = flow_style.dict(exclude_unset=True) - for key, value in flow_data.items(): - if hasattr(db_flow_style, key) and value is not None: - setattr(db_flow_style, key, value) - session.add(db_flow_style) - session.commit() - session.refresh(db_flow_style) - return db_flow_style - - -@router.delete("/{flow_id}") -def delete_flow_style(*, session: Session = Depends(get_session), flow_id: UUID): - """Delete a flow_style.""" - flow_style = session.get(FlowStyle, flow_id) - if not flow_style: - raise HTTPException(status_code=404, detail="FlowStyle not found") - session.delete(flow_style) - session.commit() - return {"message": "FlowStyle deleted successfully"} diff --git a/src/backend/langflow/api/v1/flows.py b/src/backend/langflow/api/v1/flows.py index 4e000a128..3145ced3c 100644 --- a/src/backend/langflow/api/v1/flows.py +++ b/src/backend/langflow/api/v1/flows.py @@ -1,16 +1,15 @@ from typing import List from uuid import UUID -from langflow.settings import settings from langflow.api.utils import remove_api_keys from langflow.api.v1.schemas import FlowListCreate, FlowListRead -from langflow.database.models.flow import ( +from langflow.services.database.models.flow import ( Flow, FlowCreate, FlowRead, - FlowReadWithStyle, FlowUpdate, ) -from langflow.database.base import get_session +from langflow.services.utils import get_session +from langflow.services.utils import get_settings_manager from sqlmodel import Session, select from fastapi import APIRouter, Depends, HTTPException from fastapi.encoders import jsonable_encoder @@ -32,7 +31,7 @@ def create_flow(*, session: Session = Depends(get_session), flow: FlowCreate): return db_flow -@router.get("/", response_model=list[FlowReadWithStyle], status_code=200) +@router.get("/", response_model=list[FlowRead], status_code=200) def read_flows(*, session: Session = Depends(get_session)): """Read all flows.""" try: @@ -42,7 +41,7 @@ def read_flows(*, session: Session = Depends(get_session)): return [jsonable_encoder(flow) for flow in flows] -@router.get("/{flow_id}", response_model=FlowReadWithStyle, status_code=200) +@router.get("/{flow_id}", response_model=FlowRead, status_code=200) def read_flow(*, session: Session = Depends(get_session), flow_id: UUID): """Read a flow.""" if flow := session.get(Flow, flow_id): @@ -61,7 +60,8 @@ def update_flow( if not db_flow: raise HTTPException(status_code=404, detail="Flow not found") flow_data = flow.dict(exclude_unset=True) - if settings.remove_api_keys: + settings_manager = get_settings_manager() + if settings_manager.settings.REMOVE_API_KEYS: flow_data = remove_api_keys(flow_data) for key, value in flow_data.items(): setattr(db_flow, key, value) diff --git a/src/backend/langflow/api/v1/schemas.py b/src/backend/langflow/api/v1/schemas.py index 0148dac6d..65bf64dca 100644 --- a/src/backend/langflow/api/v1/schemas.py +++ b/src/backend/langflow/api/v1/schemas.py @@ -1,7 +1,7 @@ from enum import Enum from pathlib import Path from typing import Any, Dict, List, Optional, Union -from langflow.database.models.flow import FlowCreate, FlowRead +from langflow.services.database.models.flow import FlowCreate, FlowRead from pydantic import BaseModel, Field, validator import json @@ -47,6 +47,7 @@ class ProcessResponse(BaseModel): """Process response schema.""" result: dict + session_id: Optional[str] = None class ChatMessage(BaseModel): diff --git a/src/backend/langflow/chat/__init__.py b/src/backend/langflow/auth/__init__.py similarity index 100% rename from src/backend/langflow/chat/__init__.py rename to src/backend/langflow/auth/__init__.py diff --git a/src/backend/langflow/auth/auth.py b/src/backend/langflow/auth/auth.py new file mode 100644 index 000000000..b9e8dba3a --- /dev/null +++ b/src/backend/langflow/auth/auth.py @@ -0,0 +1,177 @@ +from uuid import UUID +from typing import Annotated +from jose import JWTError, jwt +from sqlalchemy.orm import Session +from passlib.context import CryptContext +from fastapi.security import OAuth2PasswordBearer +from fastapi import Depends, HTTPException, status +from datetime import datetime, timedelta, timezone + +from langflow.services.utils import get_settings_manager + +from langflow.services.utils import get_session +from langflow.database.models.user import ( + User, + get_user_by_id, + get_user_by_username, + update_user_last_login_at, +) + + +pwd_context = CryptContext(schemes=["bcrypt"], deprecated="auto") +oauth2_scheme = OAuth2PasswordBearer(tokenUrl="login") + + +async def get_current_user( + token: Annotated[str, Depends(oauth2_scheme)], db: Session = Depends(get_session) +) -> User: + settings_manager = get_settings_manager() + + credentials_exception = HTTPException( + status_code=status.HTTP_401_UNAUTHORIZED, + detail="Could not validate credentials", + headers={"WWW-Authenticate": "Bearer"}, + ) + + try: + payload = jwt.decode( + token, + settings_manager.settings.SECRET_KEY, + algorithms=[settings_manager.settings.ALGORITHM], + ) + user_id: UUID = payload.get("sub") # type: ignore + token_type: str = payload.get("type") # type: ignore + + if user_id is None or token_type: + raise credentials_exception + except JWTError as e: + raise credentials_exception from e + + user = get_user_by_id(db, user_id) # type: ignore + if user is None: + raise credentials_exception + return user + + +async def get_current_active_user( + current_user: Annotated[User, Depends(get_current_user)] +): + if not current_user.is_active: + raise HTTPException(status_code=400, detail="Inactive user") + return current_user + + +def verify_password(plain_password, hashed_password): + return pwd_context.verify(plain_password, hashed_password) + + +def get_password_hash(password): + return pwd_context.hash(password) + + +def create_token(data: dict, expires_delta: timedelta): + settings_manager = get_settings_manager() + + to_encode = data.copy() + expire = datetime.now(timezone.utc) + expires_delta + to_encode["exp"] = expire + + return jwt.encode( + to_encode, + settings_manager.settings.SECRET_KEY, + algorithm=settings_manager.settings.ALGORITHM, + ) + + +def create_user_longterm_token( + user_id: UUID, db: Session = Depends(get_session), update_last_login: bool = False +) -> dict: + access_token_expires_longterm = timedelta(days=365) + access_token = create_token( + data={"sub": str(user_id)}, + expires_delta=access_token_expires_longterm, + ) + + # Update: last_login_at + if update_last_login: + update_user_last_login_at(user_id, db) + + return { + "access_token": access_token, + "refresh_token": None, + "token_type": "bearer", + } + + +def create_user_tokens( + user_id: UUID, db: Session = Depends(get_session), update_last_login: bool = False +) -> dict: + settings_manager = get_settings_manager() + + access_token_expires = timedelta( + minutes=settings_manager.settings.ACCESS_TOKEN_EXPIRE_MINUTES + ) + access_token = create_token( + data={"sub": str(user_id)}, + expires_delta=access_token_expires, + ) + + refresh_token_expires = timedelta( + minutes=settings_manager.settings.REFRESH_TOKEN_EXPIRE_MINUTES + ) + refresh_token = create_token( + data={"sub": str(user_id), "type": "rf"}, + expires_delta=refresh_token_expires, + ) + + # Update: last_login_at + if update_last_login: + update_user_last_login_at(user_id, db) + + return { + "access_token": access_token, + "refresh_token": refresh_token, + "token_type": "bearer", + } + + +def create_refresh_token(refresh_token: str, db: Session = Depends(get_session)): + settings_manager = get_settings_manager() + + try: + payload = jwt.decode( + refresh_token, + settings_manager.settings.SECRET_KEY, + algorithms=[settings_manager.settings.ALGORITHM], + ) + user_id: UUID = payload.get("sub") # type: ignore + token_type: str = payload.get("type") # type: ignore + + if user_id is None or token_type is None: + raise HTTPException( + status_code=status.HTTP_401_UNAUTHORIZED, detail="Invalid refresh token" + ) + + return create_user_tokens(user_id, db) + + except JWTError as e: + raise HTTPException( + status_code=status.HTTP_401_UNAUTHORIZED, + detail="Invalid refresh token", + ) from e + + +def authenticate_user( + username: str, password: str, db: Session = Depends(get_session) +) -> User | None: + user = get_user_by_username(db, username) + + if not user: + return None + + if not user.is_active: + if not user.last_login_at: + raise HTTPException(status_code=400, detail="Waiting for approval") + raise HTTPException(status_code=400, detail="Inactive user") + + return user if verify_password(password, user.password) else None diff --git a/src/backend/langflow/cache/__init__.py b/src/backend/langflow/cache/__init__.py deleted file mode 100644 index 723aa9e18..000000000 --- a/src/backend/langflow/cache/__init__.py +++ /dev/null @@ -1,7 +0,0 @@ -from langflow.cache.manager import cache_manager -from langflow.cache.flow import InMemoryCache - -__all__ = [ - "cache_manager", - "InMemoryCache", -] diff --git a/src/backend/langflow/components/__init__.py b/src/backend/langflow/components/__init__.py new file mode 100644 index 000000000..765042210 --- /dev/null +++ b/src/backend/langflow/components/__init__.py @@ -0,0 +1,4 @@ +from langflow.interface.custom.custom_component import CustomComponent + + +__all__ = ["CustomComponent"] diff --git a/src/backend/langflow/components/agents/OpenAIConversationalAgent.py b/src/backend/langflow/components/agents/OpenAIConversationalAgent.py new file mode 100644 index 000000000..e2b876978 --- /dev/null +++ b/src/backend/langflow/components/agents/OpenAIConversationalAgent.py @@ -0,0 +1,82 @@ +from langflow import CustomComponent +from typing import Optional +from langchain.prompts import SystemMessagePromptTemplate +from langchain.tools import Tool +from langchain.schema.memory import BaseMemory +from langchain.chat_models import ChatOpenAI + +from langchain.agents.agent import AgentExecutor +from langchain.agents.openai_functions_agent.base import OpenAIFunctionsAgent +from langchain.memory.token_buffer import ConversationTokenBufferMemory +from langchain.prompts.chat import MessagesPlaceholder +from langchain.agents.agent_toolkits.conversational_retrieval.openai_functions import ( + _get_default_system_message, +) + + +class ConversationalAgent(CustomComponent): + display_name: str = "OpenAI Conversational Agent" + description: str = "Conversational Agent that can use OpenAI's function calling API" + + def build_config(self): + openai_function_models = [ + "gpt-3.5-turbo-0613", + "gpt-3.5-turbo-16k-0613", + "gpt-4-0613", + "gpt-4-32k-0613", + ] + return { + "tools": {"is_list": True, "display_name": "Tools"}, + "memory": {"display_name": "Memory"}, + "system_message": {"display_name": "System Message"}, + "max_token_limit": {"display_name": "Max Token Limit"}, + "model_name": { + "display_name": "Model Name", + "options": openai_function_models, + "value": openai_function_models[0], + }, + "code": {"show": False}, + } + + def build( + self, + model_name: str, + openai_api_key: str, + openai_api_base: str, + tools: Tool, + memory: Optional[BaseMemory] = None, + system_message: Optional[SystemMessagePromptTemplate] = None, + max_token_limit: int = 2000, + ) -> AgentExecutor: + llm = ChatOpenAI( + model=model_name, + openai_api_key=openai_api_key, + openai_api_base=openai_api_base, + ) + if not memory: + memory_key = "chat_history" + memory = ConversationTokenBufferMemory( + memory_key=memory_key, + return_messages=True, + output_key="output", + llm=llm, + max_token_limit=max_token_limit, + ) + else: + memory_key = memory.memory_key # type: ignore + + _system_message = system_message or _get_default_system_message() + prompt = OpenAIFunctionsAgent.create_prompt( + system_message=_system_message, # type: ignore + extra_prompt_messages=[MessagesPlaceholder(variable_name=memory_key)], + ) + agent = OpenAIFunctionsAgent( + llm=llm, tools=tools, prompt=prompt # type: ignore + ) + return AgentExecutor( + agent=agent, + tools=tools, # type: ignore + memory=memory, + verbose=True, + return_intermediate_steps=True, + ) diff --git a/src/backend/langflow/database/__init__.py b/src/backend/langflow/components/agents/__init__.py similarity index 100% rename from src/backend/langflow/database/__init__.py rename to src/backend/langflow/components/agents/__init__.py diff --git a/src/backend/langflow/components/chains/PromptRunner.py b/src/backend/langflow/components/chains/PromptRunner.py new file mode 100644 index 000000000..141941c38 --- /dev/null +++ b/src/backend/langflow/components/chains/PromptRunner.py @@ -0,0 +1,33 @@ +from langflow import CustomComponent + +from langchain.llms.base import BaseLLM +from langchain import PromptTemplate +from langchain.schema import Document + + +class PromptRunner(CustomComponent): + display_name: str = "Prompt Runner" + description: str = "Run a Chain with the given PromptTemplate" + beta = True + field_config = { + "llm": {"display_name": "LLM"}, + "prompt": { + "display_name": "Prompt Template", + "info": "Make sure the prompt has all variables filled.", + }, + "code": {"show": False}, + "inputs": {"field_type": "code"}, + } + + def build( + self, + llm: BaseLLM, + prompt: PromptTemplate, + ) -> Document: + chain = prompt | llm + # The input is an empty dict because the prompt is already filled + result = chain.invoke({}) + if hasattr(result, "content"): + result = result.content + self.repr_value = result + return Document(page_content=str(result)) diff --git a/src/backend/langflow/database/models/__init__.py b/src/backend/langflow/components/chains/__init__.py similarity index 100% rename from src/backend/langflow/database/models/__init__.py rename to src/backend/langflow/components/chains/__init__.py diff --git a/src/backend/langflow/components/toolkits/Metaphor.py b/src/backend/langflow/components/toolkits/Metaphor.py new file mode 100644 index 000000000..6f43d24b4 --- /dev/null +++ b/src/backend/langflow/components/toolkits/Metaphor.py @@ -0,0 +1,56 @@ +from typing import List, Union +from langflow import CustomComponent + +from metaphor_python import Metaphor # type: ignore +from langchain.tools import Tool +from langchain.agents import tool +from langchain.agents.agent_toolkits.base import BaseToolkit + + +class MetaphorToolkit(CustomComponent): + display_name: str = "Metaphor" + description: str = "Metaphor Toolkit" + documentation = ( + "https://python.langchain.com/docs/integrations/tools/metaphor_search" + ) + beta = True + # api key should be password = True + field_config = { + "metaphor_api_key": {"display_name": "Metaphor API Key", "password": True}, + "code": {"advanced": True}, + } + + def build( + self, + metaphor_api_key: str, + use_autoprompt: bool = True, + search_num_results: int = 5, + similar_num_results: int = 5, + ) -> Union[Tool, BaseToolkit]: + # If documents, then we need to create a Vectara instance using .from_documents + client = Metaphor(api_key=metaphor_api_key) + + @tool + def search(query: str): + """Call search engine with a query.""" + return client.search( + query, use_autoprompt=use_autoprompt, num_results=search_num_results + ) + + @tool + def get_contents(ids: List[str]): + """Get contents of a webpage. + + The ids passed in should be a list of ids as fetched from `search`. + """ + return client.get_contents(ids) + + @tool + def find_similar(url: str): + """Get search results similar to a given URL. + + The url passed in should be a URL returned from `search` + """ + return client.find_similar(url, num_results=similar_num_results) + + return [search, get_contents, find_similar] # type: ignore diff --git a/src/backend/langflow/components/toolkits/__init__.py b/src/backend/langflow/components/toolkits/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/src/backend/langflow/components/vectorstores/Vectara.py b/src/backend/langflow/components/vectorstores/Vectara.py new file mode 100644 index 000000000..6edc69822 --- /dev/null +++ b/src/backend/langflow/components/vectorstores/Vectara.py @@ -0,0 +1,50 @@ +from typing import Optional, Union +from langflow import CustomComponent + +from langchain.vectorstores import Vectara +from langchain.schema import Document +from langchain.vectorstores.base import VectorStore +from langchain.schema import BaseRetriever +from langchain.embeddings.base import Embeddings + + +class VectaraComponent(CustomComponent): + display_name: str = "Vectara" + description: str = "Implementation of Vector Store using Vectara" + documentation = ( + "https://python.langchain.com/docs/integrations/vectorstores/vectara" + ) + beta = True + # api key should be password = True + field_config = { + "vectara_customer_id": {"display_name": "Vectara Customer ID"}, + "vectara_corpus_id": {"display_name": "Vectara Corpus ID"}, + "vectara_api_key": {"display_name": "Vectara API Key", "password": True}, + "code": {"show": False}, + "documents": {"display_name": "Documents"}, + "embedding": {"display_name": "Embedding"}, + } + + def build( + self, + vectara_customer_id: str, + vectara_corpus_id: str, + vectara_api_key: str, + embedding: Optional[Embeddings] = None, + documents: Optional[Document] = None, + ) -> Union[VectorStore, BaseRetriever]: + # If documents, then we need to create a Vectara instance using .from_documents + if documents is not None and embedding is not None: + return Vectara.from_documents( + documents=documents, # type: ignore + vectara_customer_id=vectara_customer_id, + vectara_corpus_id=vectara_corpus_id, + vectara_api_key=vectara_api_key, + embedding=embedding, + ) + + return Vectara( + vectara_customer_id=vectara_customer_id, + vectara_corpus_id=vectara_corpus_id, + vectara_api_key=vectara_api_key, + ) diff --git a/src/backend/langflow/components/vectorstores/__init__.py b/src/backend/langflow/components/vectorstores/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/src/backend/langflow/config.yaml b/src/backend/langflow/config.yaml index 63e8cdf99..d25893c25 100644 --- a/src/backend/langflow/config.yaml +++ b/src/backend/langflow/config.yaml @@ -104,6 +104,8 @@ embeddings: documentation: "https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/sentence_transformers" CohereEmbeddings: documentation: "https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/cohere" + VertexAIEmbeddings: + documentation: "https://python.langchain.com/docs/modules/data_connection/text_embedding/integrations/google_vertex_ai_palm" llms: OpenAI: documentation: "https://python.langchain.com/docs/modules/model_io/models/llms/integrations/openai" @@ -127,8 +129,8 @@ llms: # There's a bug in this component deactivating until we get it sorted: _language_models.py", line 804, in send_message # is_blocked=safety_attributes.get("blocked", False), # AttributeError: 'list' object has no attribute 'get' - # ChatVertexAI: - # documentation: "https://python.langchain.com/docs/modules/model_io/models/chat/integrations/google_vertex_ai_palm" + ChatVertexAI: + documentation: "https://python.langchain.com/docs/modules/model_io/models/chat/integrations/google_vertex_ai_palm" ### memories: # https://github.com/supabase-community/supabase-py/issues/482 diff --git a/src/backend/langflow/database/base.py b/src/backend/langflow/database/base.py deleted file mode 100644 index 338298a6b..000000000 --- a/src/backend/langflow/database/base.py +++ /dev/null @@ -1,51 +0,0 @@ -from contextlib import contextmanager -from langflow.settings import settings -from sqlmodel import SQLModel, Session, create_engine -from langflow.utils.logger import logger - -if settings.database_url and settings.database_url.startswith("sqlite"): - connect_args = {"check_same_thread": False} -else: - connect_args = {} -if not settings.database_url: - raise RuntimeError("No database_url provided") -engine = create_engine(settings.database_url, connect_args=connect_args) - - -def create_db_and_tables(): - logger.debug("Creating database and tables") - try: - SQLModel.metadata.create_all(engine) - except Exception as exc: - logger.error(f"Error creating database and tables: {exc}") - raise RuntimeError("Error creating database and tables") from exc - # Now check if the table Flow exists, if not, something went wrong - # and we need to create the tables again. - from sqlalchemy import inspect - - inspector = inspect(engine) - if "flow" not in inspector.get_table_names(): - logger.error("Something went wrong creating the database and tables.") - logger.error("Please check your database settings.") - - raise RuntimeError("Something went wrong creating the database and tables.") - else: - logger.debug("Database and tables created successfully") - - -@contextmanager -def session_getter(): - try: - session = Session(engine) - yield session - except Exception as e: - print("Session rollback because of exception:", e) - session.rollback() - raise - finally: - session.close() - - -def get_session(): - with session_getter() as session: - yield session diff --git a/src/backend/langflow/database/models/flow_style.py b/src/backend/langflow/database/models/flow_style.py deleted file mode 100644 index fe53799fe..000000000 --- a/src/backend/langflow/database/models/flow_style.py +++ /dev/null @@ -1,33 +0,0 @@ -# Path: src/backend/langflow/database/models/flowstyle.py - -from langflow.database.models.base import SQLModelSerializable -from sqlmodel import Field, Relationship -from uuid import UUID, uuid4 -from typing import TYPE_CHECKING, Optional - -if TYPE_CHECKING: - from langflow.database.models.flow import Flow - - -class FlowStyleBase(SQLModelSerializable): - color: str - emoji: str - flow_id: UUID = Field(default=None, foreign_key="flow.id") - - -class FlowStyle(FlowStyleBase, table=True): - id: UUID = Field(default_factory=uuid4, primary_key=True, unique=True) - flow: "Flow" = Relationship(back_populates="style") - - -class FlowStyleUpdate(SQLModelSerializable): - color: Optional[str] = None - emoji: Optional[str] = None - - -class FlowStyleCreate(FlowStyleBase): - pass - - -class FlowStyleRead(FlowStyleBase): - id: UUID diff --git a/src/backend/langflow/database/models/token.py b/src/backend/langflow/database/models/token.py new file mode 100644 index 000000000..68c70f07f --- /dev/null +++ b/src/backend/langflow/database/models/token.py @@ -0,0 +1,7 @@ +from pydantic import BaseModel + + +class Token(BaseModel): + access_token: str + refresh_token: str + token_type: str diff --git a/src/backend/langflow/database/models/user.py b/src/backend/langflow/database/models/user.py new file mode 100644 index 000000000..94ceb4e15 --- /dev/null +++ b/src/backend/langflow/database/models/user.py @@ -0,0 +1,94 @@ +from sqlmodel import Field +from uuid import UUID, uuid4 +from pydantic import BaseModel +from typing import Optional, List +from sqlalchemy.orm import Session +from datetime import timezone, datetime +from sqlalchemy.exc import IntegrityError +from fastapi import HTTPException, Depends + +from langflow.services.utils import get_session +from langflow.services.database.models.base import SQLModelSerializable, SQLModel + + +class User(SQLModelSerializable, table=True): + id: UUID = Field(default_factory=uuid4, primary_key=True, unique=True) + username: str = Field(index=True, unique=True) + password: str = Field() + is_active: bool = Field(default=False) + is_superuser: bool = Field(default=False) + create_at: datetime = Field(default_factory=datetime.utcnow) + updated_at: datetime = Field(default_factory=datetime.utcnow) + last_login_at: Optional[datetime] = Field() + + +class UserAddModel(SQLModel): + username: str = Field() + password: str = Field() + + +class UserListModel(SQLModel): + id: UUID = Field(default_factory=uuid4) + username: str = Field() + is_active: bool = Field() + is_superuser: bool = Field() + create_at: datetime = Field() + updated_at: datetime = Field() + last_login_at: Optional[datetime] = Field() + + +class UserPatchModel(SQLModel): + username: Optional[str] = Field() + is_active: Optional[bool] = Field() + is_superuser: Optional[bool] = Field() + last_login_at: Optional[datetime] = Field() + + +class UsersResponse(BaseModel): + total_count: int + users: List[UserListModel] + + +def get_user_by_username(db: Session, username: str) -> User: + db_user = db.query(User).filter(User.username == username).first() + return User.from_orm(db_user) if db_user else None # type: ignore + + +def get_user_by_id(db: Session, id: UUID) -> User: + db_user = db.query(User).filter(User.id == id).first() + return User.from_orm(db_user) if db_user else None # type: ignore + + +def update_user( + user_id: UUID, user: UserPatchModel, db: Session = Depends(get_session) +) -> User: + user_db = get_user_by_username(db, user.username) # type: ignore + if user_db and user_db.id != user_id: + raise HTTPException(status_code=409, detail="Username already exists") + + user_db = get_user_by_id(db, user_id) + if not user_db: + raise HTTPException(status_code=404, detail="User not found") + + try: + user_data = user.dict(exclude_unset=True) + for key, value in user_data.items(): + setattr(user_db, key, value) + + user_db.updated_at = datetime.now(timezone.utc) + user_db = db.merge(user_db) + db.commit() + if db.identity_key(instance=user_db) is not None: + db.refresh(user_db) + + except IntegrityError as e: + db.rollback() + raise HTTPException(status_code=400, detail=str(e)) from e + + return user_db + + +def update_user_last_login_at(user_id: UUID, db: Session = Depends(get_session)): + user_data = UserPatchModel(last_login_at=datetime.now(timezone.utc)) # type: ignore + + return update_user(user_id, user_data, db) diff --git a/src/backend/langflow/graph/graph/base.py b/src/backend/langflow/graph/graph/base.py index 99b4e2b3d..f0d3986cf 100644 --- a/src/backend/langflow/graph/graph/base.py +++ b/src/backend/langflow/graph/graph/base.py @@ -1,7 +1,7 @@ from typing import Dict, Generator, List, Type, Union from langflow.graph.edge.base import Edge -from langflow.graph.graph.constants import VERTEX_TYPE_MAP +from langflow.graph.graph.constants import lazy_load_vertex_dict from langflow.graph.vertex.base import Vertex from langflow.graph.vertex.types import ( FileToolVertex, @@ -187,10 +187,12 @@ class Graph: """Returns the node class based on the node type.""" if node_type in FILE_TOOLS: return FileToolVertex - if node_type in VERTEX_TYPE_MAP: - return VERTEX_TYPE_MAP[node_type] + if node_type in lazy_load_vertex_dict.VERTEX_TYPE_MAP: + return lazy_load_vertex_dict.VERTEX_TYPE_MAP[node_type] return ( - VERTEX_TYPE_MAP[node_lc_type] if node_lc_type in VERTEX_TYPE_MAP else Vertex + lazy_load_vertex_dict.VERTEX_TYPE_MAP[node_lc_type] + if node_lc_type in lazy_load_vertex_dict.VERTEX_TYPE_MAP + else Vertex ) def _build_vertices(self) -> List[Vertex]: diff --git a/src/backend/langflow/graph/graph/constants.py b/src/backend/langflow/graph/graph/constants.py index 5e5c3b709..c9fea48b5 100644 --- a/src/backend/langflow/graph/graph/constants.py +++ b/src/backend/langflow/graph/graph/constants.py @@ -1,4 +1,3 @@ -from langflow.graph.vertex.base import Vertex from langflow.graph.vertex import types from langflow.interface.agents.base import agent_creator from langflow.interface.chains.base import chain_creator @@ -15,23 +14,45 @@ from langflow.interface.wrappers.base import wrapper_creator from langflow.interface.output_parsers.base import output_parser_creator from langflow.interface.retrievers.base import retriever_creator from langflow.interface.custom.base import custom_component_creator -from typing import Dict, Type +from langflow.utils.lazy_load import LazyLoadDictBase -VERTEX_TYPE_MAP: Dict[str, Type[Vertex]] = { - **{t: types.PromptVertex for t in prompt_creator.to_list()}, - **{t: types.AgentVertex for t in agent_creator.to_list()}, - **{t: types.ChainVertex for t in chain_creator.to_list()}, - **{t: types.ToolVertex for t in tool_creator.to_list()}, - **{t: types.ToolkitVertex for t in toolkits_creator.to_list()}, - **{t: types.WrapperVertex for t in wrapper_creator.to_list()}, - **{t: types.LLMVertex for t in llm_creator.to_list()}, - **{t: types.MemoryVertex for t in memory_creator.to_list()}, - **{t: types.EmbeddingVertex for t in embedding_creator.to_list()}, - **{t: types.VectorStoreVertex for t in vectorstore_creator.to_list()}, - **{t: types.DocumentLoaderVertex for t in documentloader_creator.to_list()}, - **{t: types.TextSplitterVertex for t in textsplitter_creator.to_list()}, - **{t: types.OutputParserVertex for t in output_parser_creator.to_list()}, - **{t: types.CustomComponentVertex for t in custom_component_creator.to_list()}, - **{t: types.RetrieverVertex for t in retriever_creator.to_list()}, -} +class VertexTypesDict(LazyLoadDictBase): + def __init__(self): + self._all_types_dict = None + + @property + def VERTEX_TYPE_MAP(self): + return self.all_types_dict + + def _build_dict(self): + langchain_types_dict = self.get_type_dict() + return { + **langchain_types_dict, + "Custom": ["Custom Tool", "Python Function"], + } + + def get_type_dict(self): + return { + **{t: types.PromptVertex for t in prompt_creator.to_list()}, + **{t: types.AgentVertex for t in agent_creator.to_list()}, + **{t: types.ChainVertex for t in chain_creator.to_list()}, + **{t: types.ToolVertex for t in tool_creator.to_list()}, + **{t: types.ToolkitVertex for t in toolkits_creator.to_list()}, + **{t: types.WrapperVertex for t in wrapper_creator.to_list()}, + **{t: types.LLMVertex for t in llm_creator.to_list()}, + **{t: types.MemoryVertex for t in memory_creator.to_list()}, + **{t: types.EmbeddingVertex for t in embedding_creator.to_list()}, + **{t: types.VectorStoreVertex for t in vectorstore_creator.to_list()}, + **{t: types.DocumentLoaderVertex for t in documentloader_creator.to_list()}, + **{t: types.TextSplitterVertex for t in textsplitter_creator.to_list()}, + **{t: types.OutputParserVertex for t in output_parser_creator.to_list()}, + **{ + t: types.CustomComponentVertex + for t in custom_component_creator.to_list() + }, + **{t: types.RetrieverVertex for t in retriever_creator.to_list()}, + } + + +lazy_load_vertex_dict = VertexTypesDict() diff --git a/src/backend/langflow/graph/utils.py b/src/backend/langflow/graph/utils.py index b78b2f961..e163d76c4 100644 --- a/src/backend/langflow/graph/utils.py +++ b/src/backend/langflow/graph/utils.py @@ -3,6 +3,10 @@ from typing import Any, Union from langflow.interface.utils import extract_input_variables_from_prompt +class UnbuiltObject: + pass + + def validate_prompt(prompt: str): """Validate prompt.""" if extract_input_variables_from_prompt(prompt): diff --git a/src/backend/langflow/graph/vertex/base.py b/src/backend/langflow/graph/vertex/base.py index 2c749b85f..425f66315 100644 --- a/src/backend/langflow/graph/vertex/base.py +++ b/src/backend/langflow/graph/vertex/base.py @@ -1,5 +1,7 @@ +import ast +from langflow.graph.utils import UnbuiltObject from langflow.interface.initialize import loading -from langflow.interface.listing import ALL_TYPES_DICT +from langflow.interface.listing import lazy_load_dict from langflow.utils.constants import DIRECT_TYPES from langflow.utils.logger import logger from langflow.utils.util import sync_to_async @@ -21,7 +23,7 @@ class Vertex: self.edges: List["Edge"] = [] self.base_type: Optional[str] = base_type self._parse_data() - self._built_object = None + self._built_object = UnbuiltObject() self._built = False self.artifacts: Dict[str, Any] = {} @@ -61,7 +63,7 @@ class Vertex: ) if self.base_type is None: - for base_type, value in ALL_TYPES_DICT.items(): + for base_type, value in lazy_load_dict.ALL_TYPES_DICT.items(): if self.vertex_type in value: self.base_type = base_type break @@ -100,7 +102,9 @@ class Vertex: params[param_key] = edge.source for key, value in template_dict.items(): - if key == "_type" or not value.get("show"): + # Skip _type and any value that has show == False and is not code + # If we don't want to show code but we want to use it + if key == "_type" or (not value.get("show") and key != "code"): continue # If the type is not transformable to a python base class # then we need to get the edge that connects to this node @@ -112,7 +116,14 @@ class Vertex: params[key] = file_path elif value.get("type") in DIRECT_TYPES and params.get(key) is None: - params[key] = value.get("value") + if value.get("type") == "code": + try: + params[key] = ast.literal_eval(value.get("value")) + except Exception as exc: + logger.debug(f"Error parsing code: {exc}") + params[key] = value.get("value") + else: + params[key] = value.get("value") if not value.get("required") and params.get(key) is None: if value.get("default"): @@ -235,8 +246,14 @@ class Vertex: """ Checks if the built object is None and raises a ValueError if so. """ - if self._built_object is None: - raise ValueError(f"Node type {self.vertex_type} not found") + if isinstance(self._built_object, UnbuiltObject): + raise ValueError(f"{self.vertex_type}: {self._built_object_repr()}") + elif self._built_object is None: + message = f"{self.vertex_type} returned None." + if self.base_type == "custom_components": + message += " Make sure your build method returns a component." + + raise ValueError(message) def build(self, force: bool = False) -> Any: if not self._built or force: @@ -259,4 +276,8 @@ class Vertex: def _built_object_repr(self): # Add a message with an emoji, stars for sucess, - return "Built sucessfully ✨" if self._built_object else "Failed to build πŸ˜΅β€πŸ’«" + return ( + "Built sucessfully ✨" + if self._built_object is not None + else "Failed to build πŸ˜΅β€πŸ’«" + ) diff --git a/src/backend/langflow/graph/vertex/types.py b/src/backend/langflow/graph/vertex/types.py index 5aee7b14c..9a2dc21c5 100644 --- a/src/backend/langflow/graph/vertex/types.py +++ b/src/backend/langflow/graph/vertex/types.py @@ -226,7 +226,16 @@ class PromptVertex(Vertex): # so the prompt format doesn't break artifacts.pop("handle_keys", None) try: - template = self._built_object.format(**artifacts) + if not hasattr(self._built_object, "template") and hasattr( + self._built_object, "prompt" + ): + template = self._built_object.prompt.template + else: + template = self._built_object.template + for key, value in artifacts.items(): + if value: + replace_key = "{" + key + "}" + template = template.replace(replace_key, value) return ( template if isinstance(template, str) diff --git a/src/backend/langflow/interface/agents/base.py b/src/backend/langflow/interface/agents/base.py index b272144bc..ec8c42aba 100644 --- a/src/backend/langflow/interface/agents/base.py +++ b/src/backend/langflow/interface/agents/base.py @@ -5,7 +5,8 @@ from langchain.agents import types from langflow.custom.customs import get_custom_nodes from langflow.interface.agents.custom import CUSTOM_AGENTS from langflow.interface.base import LangChainTypeCreator -from langflow.settings import settings +from langflow.services.utils import get_settings_manager + from langflow.template.frontend_node.agents import AgentFrontendNode from langflow.utils.logger import logger from langflow.utils.util import build_template_from_class, build_template_from_method @@ -53,13 +54,17 @@ class AgentCreator(LangChainTypeCreator): # Now this is a generator def to_list(self) -> List[str]: names = [] + settings_manager = get_settings_manager() for _, agent in self.type_to_loader_dict.items(): agent_name = ( agent.function_name() if hasattr(agent, "function_name") else agent.__name__ ) - if agent_name in settings.agents or settings.dev: + if ( + agent_name in settings_manager.settings.AGENTS + or settings_manager.settings.DEV + ): names.append(agent_name) return names diff --git a/src/backend/langflow/interface/base.py b/src/backend/langflow/interface/base.py index e6a28bf7d..d1ed83b5a 100644 --- a/src/backend/langflow/interface/base.py +++ b/src/backend/langflow/interface/base.py @@ -2,13 +2,14 @@ from abc import ABC, abstractmethod from typing import Any, Dict, List, Optional, Type, Union from langchain.chains.base import Chain from langchain.agents import AgentExecutor +from langflow.services.utils import get_settings_manager from pydantic import BaseModel from langflow.template.field.base import TemplateField from langflow.template.frontend_node.base import FrontendNode from langflow.template.template.base import Template from langflow.utils.logger import logger -from langflow.settings import settings + # Assuming necessary imports for Field, Template, and FrontendNode classes @@ -26,9 +27,12 @@ class LangChainTypeCreator(BaseModel, ABC): @property def docs_map(self) -> Dict[str, str]: """A dict with the name of the component as key and the documentation link as value.""" + settings_manager = get_settings_manager() if self.name_docs_dict is None: try: - type_settings = getattr(settings, self.type_name) + type_settings = getattr( + settings_manager.settings, self.type_name.upper() + ) self.name_docs_dict = { name: value_dict["documentation"] for name, value_dict in type_settings.items() diff --git a/src/backend/langflow/interface/chains/base.py b/src/backend/langflow/interface/chains/base.py index 67d31308f..b906dbd25 100644 --- a/src/backend/langflow/interface/chains/base.py +++ b/src/backend/langflow/interface/chains/base.py @@ -3,11 +3,13 @@ from typing import Any, Dict, List, Optional, Type from langflow.custom.customs import get_custom_nodes from langflow.interface.base import LangChainTypeCreator from langflow.interface.importing.utils import import_class -from langflow.settings import settings +from langflow.services.utils import get_settings_manager + from langflow.template.frontend_node.chains import ChainFrontendNode from langflow.utils.logger import logger from langflow.utils.util import build_template_from_class, build_template_from_method from langchain import chains +from langchain_experimental.sql import SQLDatabaseChain # type: ignore # Assuming necessary imports for Field, Template, and FrontendNode classes @@ -29,18 +31,22 @@ class ChainCreator(LangChainTypeCreator): @property def type_to_loader_dict(self) -> Dict: if self.type_dict is None: + settings_manager = get_settings_manager() self.type_dict: dict[str, Any] = { chain_name: import_class(f"langchain.chains.{chain_name}") for chain_name in chains.__all__ } from langflow.interface.chains.custom import CUSTOM_CHAINS + self.type_dict["SQLDatabaseChain"] = SQLDatabaseChain + self.type_dict.update(CUSTOM_CHAINS) # Filter according to settings.chains self.type_dict = { name: chain for name, chain in self.type_dict.items() - if name in settings.chains or settings.dev + if name in settings_manager.settings.CHAINS + or settings_manager.settings.DEV } return self.type_dict diff --git a/src/backend/langflow/interface/custom/component.py b/src/backend/langflow/interface/custom/component.py index a9dc0f323..06db5bd46 100644 --- a/src/backend/langflow/interface/custom/component.py +++ b/src/backend/langflow/interface/custom/component.py @@ -1,5 +1,5 @@ import ast -from typing import Optional +from typing import Any, Optional from pydantic import BaseModel from fastapi import HTTPException @@ -63,10 +63,13 @@ class Component(BaseModel): elif "description" in item_name: template_config["description"] = ast.literal_eval(item_value) - elif "field_config" in item_name: - template_config["field_config"] = ast.literal_eval(item_value) + elif "beta" in item_name: + template_config["beta"] = ast.literal_eval(item_value) + + elif "documentation" in item_name: + template_config["documentation"] = ast.literal_eval(item_value) return template_config - def build(self): + def build(self, *args: Any, **kwargs: Any) -> Any: raise NotImplementedError diff --git a/src/backend/langflow/interface/custom/constants.py b/src/backend/langflow/interface/custom/constants.py index 0e747d0ca..39a1e9f3b 100644 --- a/src/backend/langflow/interface/custom/constants.py +++ b/src/backend/langflow/interface/custom/constants.py @@ -7,10 +7,14 @@ from langchain.schema import BaseRetriever, Document from langchain.text_splitter import TextSplitter from langchain.tools import Tool from langchain.vectorstores.base import VectorStore - +from langchain.schema import BaseOutputParser +from langchain.schema.memory import BaseMemory +from langchain.memory.chat_memory import BaseChatMemory +from langchain.agents.agent import AgentExecutor LANGCHAIN_BASE_TYPES = { "Chain": Chain, + "AgentExecutor": AgentExecutor, "Tool": Tool, "BaseLLM": BaseLLM, "PromptTemplate": PromptTemplate, @@ -20,6 +24,9 @@ LANGCHAIN_BASE_TYPES = { "VectorStore": VectorStore, "Embeddings": Embeddings, "BaseRetriever": BaseRetriever, + "BaseOutputParser": BaseOutputParser, + "BaseMemory": BaseMemory, + "BaseChatMemory": BaseChatMemory, } # Langchain base types plus Python base types diff --git a/src/backend/langflow/interface/custom/custom_component.py b/src/backend/langflow/interface/custom/custom_component.py index 4d65070bf..b1b1a2080 100644 --- a/src/backend/langflow/interface/custom/custom_component.py +++ b/src/backend/langflow/interface/custom/custom_component.py @@ -3,12 +3,14 @@ from fastapi import HTTPException from langflow.interface.custom.constants import CUSTOM_COMPONENT_SUPPORTED_TYPES from langflow.interface.custom.component import Component from langflow.interface.custom.directory_reader import DirectoryReader +from langflow.services.utils import get_db_manager from langflow.utils import validate -from langflow.database.base import session_getter -from langflow.database.models.flow import Flow +from langflow.services.database.utils import session_getter +from langflow.services.database.models.flow import Flow from pydantic import Extra +import yaml class CustomComponent(Component, extra=Extra.allow): @@ -24,6 +26,10 @@ class CustomComponent(Component, extra=Extra.allow): super().__init__(**data) def custom_repr(self): + if isinstance(self.repr_value, dict): + return yaml.dump(self.repr_value) + if isinstance(self.repr_value, str): + return self.repr_value return str(self.repr_value) def build_config(self): @@ -44,7 +50,9 @@ class CustomComponent(Component, extra=Extra.allow): reader = DirectoryReader("", False) for type_hint in TYPE_HINT_LIST: - if reader.is_type_hint_used_but_not_imported(type_hint, code): + if reader._is_type_hint_used_in_args( + type_hint, code + ) and not reader._is_type_hint_imported(type_hint, code): error_detail = { "error": "Type hint Error", "traceback": f"Type hint '{type_hint}' is used but not imported in the code.", @@ -87,9 +95,9 @@ class CustomComponent(Component, extra=Extra.allow): return build_method["args"] @property - def get_function_entrypoint_return_type(self) -> str: + def get_function_entrypoint_return_type(self) -> List[str]: if not self.code: - return "" + return [] tree = self.get_code_tree(self.code) component_classes = [ @@ -98,7 +106,7 @@ class CustomComponent(Component, extra=Extra.allow): if self.code_class_base_inheritance in cls["bases"] ] if not component_classes: - return "" + return [] # Assume the first Component class is the one we're interested in component_class = component_classes[0] @@ -109,11 +117,21 @@ class CustomComponent(Component, extra=Extra.allow): ] if not build_methods: - return "" + return [] build_method = build_methods[0] + return_type = build_method["return_type"] + if not return_type: + return [] + # If the return type is not a Union, then we just return it as a list + if "Union" not in return_type: + return [return_type] if return_type in self.return_type_valid_list else [] - return build_method["return_type"] + # If the return type is a Union, then we need to parse it + return_type = return_type.replace("Union", "").replace("[", "").replace("]", "") + return_type = return_type.split(",") + return_type = [item.strip() for item in return_type] + return [item for item in return_type if item in self.return_type_valid_list] @property def get_main_class_name(self): @@ -154,7 +172,8 @@ class CustomComponent(Component, extra=Extra.allow): from langflow.processing.process import build_sorted_vertices_with_caching from langflow.processing.process import process_tweaks - with session_getter() as session: + db_manager = get_db_manager() + with session_getter(db_manager) as session: graph_data = flow.data if (flow := session.get(Flow, flow_id)) else None if not graph_data: raise ValueError(f"Flow {flow_id} not found") @@ -164,7 +183,8 @@ class CustomComponent(Component, extra=Extra.allow): def list_flows(self, *, get_session: Optional[Callable] = None) -> List[Flow]: get_session = get_session or session_getter - with get_session() as session: + db_manager = get_db_manager() + with get_session(db_manager) as session: flows = session.query(Flow).all() return flows @@ -177,8 +197,8 @@ class CustomComponent(Component, extra=Extra.allow): get_session: Optional[Callable] = None, ) -> Flow: get_session = get_session or session_getter - - with get_session() as session: + db_manager = get_db_manager() + with get_session(db_manager) as session: if flow_id: flow = session.query(Flow).get(flow_id) elif flow_name: @@ -190,5 +210,5 @@ class CustomComponent(Component, extra=Extra.allow): raise ValueError(f"Flow {flow_name or flow_id} not found") return self.load_flow(flow.id, tweaks) - def build(self): + def build(self, *args: Any, **kwargs: Any) -> Any: raise NotImplementedError diff --git a/src/backend/langflow/interface/custom/directory_reader.py b/src/backend/langflow/interface/custom/directory_reader.py index 3357d164f..7bff7b5f5 100644 --- a/src/backend/langflow/interface/custom/directory_reader.py +++ b/src/backend/langflow/interface/custom/directory_reader.py @@ -1,6 +1,7 @@ import os import ast import zlib +from langflow.utils.logger import logger class CustomComponentPathValueError(ValueError): @@ -74,8 +75,11 @@ class DirectoryReader: } for menu in data["menu"] ] - filtred = [menu for menu in items if menu["components"]] - return {"menu": filtred} + filtered = [menu for menu in items if menu["components"]] + logger.debug( + f'Filtered components {"with errors" if with_errors else ""}: {filtered}' + ) + return {"menu": filtered} def validate_code(self, file_content): """ @@ -116,7 +120,7 @@ class DirectoryReader: file_list.extend( os.path.join(root, filename) for filename in files - if filename.endswith(".py") + if filename.endswith(".py") and not filename.startswith("__") ) return file_list @@ -148,15 +152,19 @@ class DirectoryReader: Check if a specific type hint is used in the function definitions within the given code. """ - module = ast.parse(code) + try: + module = ast.parse(code) - for node in ast.walk(module): - if isinstance(node, ast.FunctionDef): - for arg in node.args.args: - if self._is_type_hint_in_arg_annotation( - arg.annotation, type_hint_name - ): - return True + for node in ast.walk(module): + if isinstance(node, ast.FunctionDef): + for arg in node.args.args: + if self._is_type_hint_in_arg_annotation( + arg.annotation, type_hint_name + ): + return True + except SyntaxError: + # Returns False if the code is not valid Python + return False return False def _is_type_hint_in_arg_annotation(self, annotation, type_hint_name: str) -> bool: @@ -200,8 +208,13 @@ class DirectoryReader: return False, "Syntax error" elif not self.validate_build(file_content): return False, "Missing build function" - elif self.is_type_hint_used_but_not_imported("Optional", file_content): - return False, "Type hint 'Optional' is used but not imported in the code." + elif self._is_type_hint_used_in_args( + "Optional", file_content + ) and not self._is_type_hint_imported("Optional", file_content): + return ( + False, + "Type hint 'Optional' is used but not imported in the code.", + ) else: if self.compress_code_field: file_content = str(StringCompressor(file_content).compress_string()) @@ -213,27 +226,47 @@ class DirectoryReader: from the .py files in the directory. """ response = {"menu": []} + logger.debug( + "-------------------- Building component menu list --------------------" + ) for file_path in file_paths: menu_name = os.path.basename(os.path.dirname(file_path)) + logger.debug(f"Menu name: {menu_name}") filename = os.path.basename(file_path) validation_result, result_content = self.process_file(file_path) + logger.debug(f"Validation result: {validation_result}") menu_result = self.find_menu(response, menu_name) or { "name": menu_name, "path": os.path.dirname(file_path), "components": [], } + component_name = filename.split(".")[0] + # This is the name of the file which will be displayed in the UI + # We need to change it from snake_case to CamelCase + + # first check if it's already CamelCase + if "_" in component_name: + component_name_camelcase = " ".join( + word.title() for word in component_name.split("_") + ) + else: + component_name_camelcase = component_name component_info = { - "name": filename.split(".")[0], + "name": "CustomComponent", + "output_types": [component_name_camelcase], "file": filename, "code": result_content if validation_result else "", "error": "" if validation_result else result_content, } menu_result["components"].append(component_info) + logger.debug(f"Component info: {component_info}") if menu_result not in response["menu"]: response["menu"].append(menu_result) - + logger.debug( + "-------------------- Component menu list built --------------------" + ) return response diff --git a/src/backend/langflow/interface/document_loaders/base.py b/src/backend/langflow/interface/document_loaders/base.py index 5219fbd13..db0832ff3 100644 --- a/src/backend/langflow/interface/document_loaders/base.py +++ b/src/backend/langflow/interface/document_loaders/base.py @@ -1,9 +1,10 @@ from typing import Dict, List, Optional, Type from langflow.interface.base import LangChainTypeCreator +from langflow.services.utils import get_settings_manager from langflow.template.frontend_node.documentloaders import DocumentLoaderFrontNode from langflow.interface.custom_lists import documentloaders_type_to_cls_dict -from langflow.settings import settings + from langflow.utils.logger import logger from langflow.utils.util import build_template_from_class @@ -30,10 +31,12 @@ class DocumentLoaderCreator(LangChainTypeCreator): return None def to_list(self) -> List[str]: + settings_manager = get_settings_manager() return [ documentloader.__name__ for documentloader in self.type_to_loader_dict.values() - if documentloader.__name__ in settings.documentloaders or settings.dev + if documentloader.__name__ in settings_manager.settings.DOCUMENTLOADERS + or settings_manager.settings.DEV ] diff --git a/src/backend/langflow/interface/embeddings/base.py b/src/backend/langflow/interface/embeddings/base.py index 1dfa05a99..169985d37 100644 --- a/src/backend/langflow/interface/embeddings/base.py +++ b/src/backend/langflow/interface/embeddings/base.py @@ -2,7 +2,8 @@ from typing import Dict, List, Optional, Type from langflow.interface.base import LangChainTypeCreator from langflow.interface.custom_lists import embedding_type_to_cls_dict -from langflow.settings import settings +from langflow.services.utils import get_settings_manager + from langflow.template.frontend_node.base import FrontendNode from langflow.template.frontend_node.embeddings import EmbeddingFrontendNode from langflow.utils.logger import logger @@ -32,10 +33,12 @@ class EmbeddingCreator(LangChainTypeCreator): return None def to_list(self) -> List[str]: + settings_manager = get_settings_manager() return [ embedding.__name__ for embedding in self.type_to_loader_dict.values() - if embedding.__name__ in settings.embeddings or settings.dev + if embedding.__name__ in settings_manager.settings.EMBEDDINGS + or settings_manager.settings.DEV ] diff --git a/src/backend/langflow/interface/importing/utils.py b/src/backend/langflow/interface/importing/utils.py index 0acb2cff5..d07222dd1 100644 --- a/src/backend/langflow/interface/importing/utils.py +++ b/src/backend/langflow/interface/importing/utils.py @@ -61,9 +61,7 @@ def import_by_type(_type: str, name: str) -> Any: def import_custom_component(custom_component: str) -> CustomComponent: """Import custom component from custom component name""" - return import_class( - f"langflow.interface.custom.custom_component.{custom_component}" - ) + return import_class("langflow.interface.custom.custom_component.CustomComponent") def import_output_parser(output_parser: str) -> Any: diff --git a/src/backend/langflow/interface/initialize/loading.py b/src/backend/langflow/interface/initialize/loading.py index f52b2e56c..c315a9577 100644 --- a/src/backend/langflow/interface/initialize/loading.py +++ b/src/backend/langflow/interface/initialize/loading.py @@ -6,7 +6,11 @@ from langchain.agents.agent import AgentExecutor from langchain.agents.agent_toolkits.base import BaseToolkit from langchain.agents.tools import BaseTool from langflow.interface.initialize.llm import initialize_vertexai -from langflow.interface.initialize.utils import handle_format_kwargs, handle_node_type +from langflow.interface.initialize.utils import ( + handle_format_kwargs, + handle_node_type, + handle_partial_variables, +) from langflow.interface.initialize.vector_store import vecstore_initializer @@ -29,6 +33,7 @@ from langflow.utils import validate from langchain.chains.base import Chain from langchain.vectorstores.base import VectorStore from langchain.document_loaders.base import BaseLoader +from langflow.utils.logger import logger def instantiate_class(node_type: str, base_type: str, params: Dict) -> Any: @@ -40,7 +45,7 @@ def instantiate_class(node_type: str, base_type: str, params: Dict) -> Any: if hasattr(custom_node, "initialize"): return custom_node.initialize(**params) return custom_node(**params) - + logger.debug(f"Instantiating {node_type} of type {base_type}") class_object = import_by_type(_type=base_type, name=node_type) return instantiate_based_on_type(class_object, base_type, node_type, params) @@ -83,7 +88,7 @@ def instantiate_based_on_type(class_object, base_type, node_type, params): elif base_type == "toolkits": return instantiate_toolkit(node_type, class_object, params) elif base_type == "embeddings": - return instantiate_embedding(class_object, params) + return instantiate_embedding(node_type, class_object, params) elif base_type == "vectorstores": return instantiate_vectorstore(class_object, params) elif base_type == "documentloaders": @@ -111,9 +116,12 @@ def instantiate_based_on_type(class_object, base_type, node_type, params): def instantiate_custom_component(node_type, class_object, params): - class_object = get_function_custom(params.pop("code")) + # we need to make a copy of the params because we will be + # modifying it + params_copy = params.copy() + class_object = get_function_custom(params_copy.pop("code")) custom_component = class_object() - built_object = custom_component.build(**params) + built_object = custom_component.build(**params_copy) return built_object, {"repr": custom_component.custom_repr()} @@ -139,7 +147,7 @@ def instantiate_llm(node_type, class_object, params: Dict): # This is a workaround so JinaChat works until streaming is implemented # if "openai_api_base" in params and "jina" in params["openai_api_base"]: # False if condition is True - if node_type == "VertexAI": + if "VertexAI" in node_type: return initialize_vertexai(class_object=class_object, params=params) # max_tokens sometimes is a string and should be an int if "max_tokens" in params: @@ -217,6 +225,9 @@ def instantiate_agent(node_type, class_object: Type[agent_module.Agent], params: def instantiate_prompt(node_type, class_object, params: Dict): params, prompt = handle_node_type(node_type, class_object, params) format_kwargs = handle_format_kwargs(prompt, params) + # Now we'll use partial_format to format the prompt + if format_kwargs: + prompt = handle_partial_variables(prompt, format_kwargs) return prompt, format_kwargs @@ -250,9 +261,13 @@ def instantiate_toolkit(node_type, class_object: Type[BaseToolkit], params: Dict return loaded_toolkit -def instantiate_embedding(class_object, params: Dict): +def instantiate_embedding(node_type, class_object, params: Dict): params.pop("model", None) params.pop("headers", None) + + if "VertexAI" in node_type: + return initialize_vertexai(class_object=class_object, params=params) + try: return class_object(**params) except ValidationError: diff --git a/src/backend/langflow/interface/initialize/utils.py b/src/backend/langflow/interface/initialize/utils.py index 31fbc6d8b..ceb8a53a1 100644 --- a/src/backend/langflow/interface/initialize/utils.py +++ b/src/backend/langflow/interface/initialize/utils.py @@ -44,6 +44,18 @@ def handle_format_kwargs(prompt, params: Dict): return format_kwargs +def handle_partial_variables(prompt, format_kwargs: Dict): + partial_variables = format_kwargs.copy() + partial_variables = { + key: value for key, value in partial_variables.items() if value + } + # Remove handle_keys otherwise LangChain raises an error + partial_variables.pop("handle_keys", None) + if partial_variables and hasattr(prompt, "partial"): + return prompt.partial(**partial_variables) + return prompt + + def handle_variable(params: Dict, input_variable: str, format_kwargs: Dict): variable = params[input_variable] if isinstance(variable, str): diff --git a/src/backend/langflow/interface/initialize/vector_store.py b/src/backend/langflow/interface/initialize/vector_store.py index d4bdb0155..1bc2d73e0 100644 --- a/src/backend/langflow/interface/initialize/vector_store.py +++ b/src/backend/langflow/interface/initialize/vector_store.py @@ -130,8 +130,8 @@ def initialize_pinecone(class_object: Type[Pinecone], params: dict): import pinecone # type: ignore - pinecone_api_key = params.get("pinecone_api_key") - pinecone_env = params.get("pinecone_env") + pinecone_api_key = params.pop("pinecone_api_key") + pinecone_env = params.pop("pinecone_env") if pinecone_api_key is None or pinecone_env is None: if os.getenv("PINECONE_API_KEY") is not None: @@ -170,6 +170,26 @@ def initialize_pinecone(class_object: Type[Pinecone], params: dict): def initialize_chroma(class_object: Type[Chroma], params: dict): """Initialize a ChromaDB object from the params""" + if ( # type: ignore + "chroma_server_host" in params or "chroma_server_http_port" in params + ): + import chromadb # type: ignore + + settings_params = { + key: params[key] + for key, value_ in params.items() + if key.startswith("chroma_server_") and value_ + } + chroma_settings = chromadb.config.Settings(**settings_params) + params["client_settings"] = chroma_settings + else: + # remove all chroma_server_ keys from params + params = { + key: value + for key, value in params.items() + if not key.startswith("chroma_server_") + } + persist = params.pop("persist", False) if not docs_in_params(params): params.pop("documents", None) diff --git a/src/backend/langflow/interface/listing.py b/src/backend/langflow/interface/listing.py index fe3090f65..1cab1efbc 100644 --- a/src/backend/langflow/interface/listing.py +++ b/src/backend/langflow/interface/listing.py @@ -14,34 +14,43 @@ from langflow.interface.wrappers.base import wrapper_creator from langflow.interface.output_parsers.base import output_parser_creator from langflow.interface.retrievers.base import retriever_creator from langflow.interface.custom.base import custom_component_creator +from langflow.utils.lazy_load import LazyLoadDictBase -def get_type_dict(): - return { - "agents": agent_creator.to_list(), - "prompts": prompt_creator.to_list(), - "llms": llm_creator.to_list(), - "tools": tool_creator.to_list(), - "chains": chain_creator.to_list(), - "memory": memory_creator.to_list(), - "toolkits": toolkits_creator.to_list(), - "wrappers": wrapper_creator.to_list(), - "documentLoaders": documentloader_creator.to_list(), - "vectorStore": vectorstore_creator.to_list(), - "embeddings": embedding_creator.to_list(), - "textSplitters": textsplitter_creator.to_list(), - "utilities": utility_creator.to_list(), - "outputParsers": output_parser_creator.to_list(), - "retrievers": retriever_creator.to_list(), - "custom_components": custom_component_creator.to_list(), - } +class AllTypesDict(LazyLoadDictBase): + def __init__(self): + self._all_types_dict = None + + @property + def ALL_TYPES_DICT(self): + return self.all_types_dict + + def _build_dict(self): + langchain_types_dict = self.get_type_dict() + return { + **langchain_types_dict, + "Custom": ["Custom Tool", "Python Function"], + } + + def get_type_dict(self): + return { + "agents": agent_creator.to_list(), + "prompts": prompt_creator.to_list(), + "llms": llm_creator.to_list(), + "tools": tool_creator.to_list(), + "chains": chain_creator.to_list(), + "memory": memory_creator.to_list(), + "toolkits": toolkits_creator.to_list(), + "wrappers": wrapper_creator.to_list(), + "documentLoaders": documentloader_creator.to_list(), + "vectorStore": vectorstore_creator.to_list(), + "embeddings": embedding_creator.to_list(), + "textSplitters": textsplitter_creator.to_list(), + "utilities": utility_creator.to_list(), + "outputParsers": output_parser_creator.to_list(), + "retrievers": retriever_creator.to_list(), + "custom_components": custom_component_creator.to_list(), + } -LANGCHAIN_TYPES_DICT = get_type_dict() - -# Now we'll build a dict with Langchain types and ours - -ALL_TYPES_DICT = { - **LANGCHAIN_TYPES_DICT, - "Custom": ["Custom Tool", "Python Function"], -} +lazy_load_dict = AllTypesDict() diff --git a/src/backend/langflow/interface/llms/base.py b/src/backend/langflow/interface/llms/base.py index 66e153880..f562b99ed 100644 --- a/src/backend/langflow/interface/llms/base.py +++ b/src/backend/langflow/interface/llms/base.py @@ -2,7 +2,8 @@ from typing import Dict, List, Optional, Type from langflow.interface.base import LangChainTypeCreator from langflow.interface.custom_lists import llm_type_to_cls_dict -from langflow.settings import settings +from langflow.services.utils import get_settings_manager + from langflow.template.frontend_node.llms import LLMFrontendNode from langflow.utils.logger import logger from langflow.utils.util import build_template_from_class @@ -33,10 +34,12 @@ class LLMCreator(LangChainTypeCreator): return None def to_list(self) -> List[str]: + settings_manager = get_settings_manager() return [ llm.__name__ for llm in self.type_to_loader_dict.values() - if llm.__name__ in settings.llms or settings.dev + if llm.__name__ in settings_manager.settings.LLMS + or settings_manager.settings.DEV ] diff --git a/src/backend/langflow/interface/memories/base.py b/src/backend/langflow/interface/memories/base.py index 0f97a02fe..70665602c 100644 --- a/src/backend/langflow/interface/memories/base.py +++ b/src/backend/langflow/interface/memories/base.py @@ -2,7 +2,8 @@ from typing import Dict, List, Optional, Type from langflow.interface.base import LangChainTypeCreator from langflow.interface.custom_lists import memory_type_to_cls_dict -from langflow.settings import settings +from langflow.services.utils import get_settings_manager + from langflow.template.frontend_node.base import FrontendNode from langflow.template.frontend_node.memories import MemoryFrontendNode from langflow.utils.logger import logger @@ -48,10 +49,12 @@ class MemoryCreator(LangChainTypeCreator): return None def to_list(self) -> List[str]: + settings_manager = get_settings_manager() return [ memory.__name__ for memory in self.type_to_loader_dict.values() - if memory.__name__ in settings.memories or settings.dev + if memory.__name__ in settings_manager.settings.MEMORIES + or settings_manager.settings.DEV ] diff --git a/src/backend/langflow/interface/output_parsers/base.py b/src/backend/langflow/interface/output_parsers/base.py index 79cbdd98c..256b521e1 100644 --- a/src/backend/langflow/interface/output_parsers/base.py +++ b/src/backend/langflow/interface/output_parsers/base.py @@ -4,7 +4,8 @@ from langchain import output_parsers from langflow.interface.base import LangChainTypeCreator from langflow.interface.importing.utils import import_class -from langflow.settings import settings +from langflow.services.utils import get_settings_manager + from langflow.template.frontend_node.output_parsers import OutputParserFrontendNode from langflow.utils.logger import logger from langflow.utils.util import build_template_from_class, build_template_from_method @@ -23,6 +24,7 @@ class OutputParserCreator(LangChainTypeCreator): @property def type_to_loader_dict(self) -> Dict: if self.type_dict is None: + settings_manager = get_settings_manager() self.type_dict = { output_parser_name: import_class( f"langchain.output_parsers.{output_parser_name}" @@ -33,7 +35,8 @@ class OutputParserCreator(LangChainTypeCreator): self.type_dict = { name: output_parser for name, output_parser in self.type_dict.items() - if name in settings.output_parsers or settings.dev + if name in settings_manager.settings.OUTPUT_PARSERS + or settings_manager.settings.DEV } return self.type_dict diff --git a/src/backend/langflow/interface/prompts/base.py b/src/backend/langflow/interface/prompts/base.py index 39bd94c5b..5aa41dfb2 100644 --- a/src/backend/langflow/interface/prompts/base.py +++ b/src/backend/langflow/interface/prompts/base.py @@ -5,7 +5,8 @@ from langchain import prompts from langflow.custom.customs import get_custom_nodes from langflow.interface.base import LangChainTypeCreator from langflow.interface.importing.utils import import_class -from langflow.settings import settings +from langflow.services.utils import get_settings_manager + from langflow.template.frontend_node.prompts import PromptFrontendNode from langflow.utils.logger import logger from langflow.utils.util import build_template_from_class @@ -20,6 +21,7 @@ class PromptCreator(LangChainTypeCreator): @property def type_to_loader_dict(self) -> Dict: + settings_manager = get_settings_manager() if self.type_dict is None: self.type_dict = { prompt_name: import_class(f"langchain.prompts.{prompt_name}") @@ -34,7 +36,8 @@ class PromptCreator(LangChainTypeCreator): self.type_dict = { name: prompt for name, prompt in self.type_dict.items() - if name in settings.prompts or settings.dev + if name in settings_manager.settings.PROMPTS + or settings_manager.settings.DEV } return self.type_dict diff --git a/src/backend/langflow/interface/retrievers/base.py b/src/backend/langflow/interface/retrievers/base.py index dc6056656..db1cfd165 100644 --- a/src/backend/langflow/interface/retrievers/base.py +++ b/src/backend/langflow/interface/retrievers/base.py @@ -4,7 +4,8 @@ from langchain import retrievers from langflow.interface.base import LangChainTypeCreator from langflow.interface.importing.utils import import_class -from langflow.settings import settings +from langflow.services.utils import get_settings_manager + from langflow.template.frontend_node.retrievers import RetrieverFrontendNode from langflow.utils.logger import logger from langflow.utils.util import build_template_from_method, build_template_from_class @@ -48,10 +49,12 @@ class RetrieverCreator(LangChainTypeCreator): return None def to_list(self) -> List[str]: + settings_manager = get_settings_manager() return [ retriever for retriever in self.type_to_loader_dict.keys() - if retriever in settings.retrievers or settings.dev + if retriever in settings_manager.settings.RETRIEVERS + or settings_manager.settings.DEV ] diff --git a/src/backend/langflow/interface/run.py b/src/backend/langflow/interface/run.py index 97f47334e..42cea0e98 100644 --- a/src/backend/langflow/interface/run.py +++ b/src/backend/langflow/interface/run.py @@ -1,4 +1,5 @@ -from langflow.cache.utils import memoize_dict +from typing import Any, Dict, Tuple +from langflow.services.cache.utils import memoize_dict from langflow.graph import Graph from langflow.utils.logger import logger @@ -15,7 +16,7 @@ def build_langchain_object_with_caching(data_graph): @memoize_dict(maxsize=10) -def build_sorted_vertices_with_caching(data_graph): +def build_sorted_vertices_with_caching(data_graph) -> Tuple[Any, Dict]: """ Build langchain object from data_graph. """ diff --git a/src/backend/langflow/interface/text_splitters/base.py b/src/backend/langflow/interface/text_splitters/base.py index 203f30086..87b778c4c 100644 --- a/src/backend/langflow/interface/text_splitters/base.py +++ b/src/backend/langflow/interface/text_splitters/base.py @@ -1,9 +1,10 @@ from typing import Dict, List, Optional, Type from langflow.interface.base import LangChainTypeCreator +from langflow.services.utils import get_settings_manager from langflow.template.frontend_node.textsplitters import TextSplittersFrontendNode from langflow.interface.custom_lists import textsplitter_type_to_cls_dict -from langflow.settings import settings + from langflow.utils.logger import logger from langflow.utils.util import build_template_from_class @@ -30,10 +31,12 @@ class TextSplitterCreator(LangChainTypeCreator): return None def to_list(self) -> List[str]: + settings_manager = get_settings_manager() return [ textsplitter.__name__ for textsplitter in self.type_to_loader_dict.values() - if textsplitter.__name__ in settings.textsplitters or settings.dev + if textsplitter.__name__ in settings_manager.settings.TEXTSPLITTERS + or settings_manager.settings.DEV ] diff --git a/src/backend/langflow/interface/toolkits/base.py b/src/backend/langflow/interface/toolkits/base.py index be2345c02..c13ffdbd9 100644 --- a/src/backend/langflow/interface/toolkits/base.py +++ b/src/backend/langflow/interface/toolkits/base.py @@ -4,7 +4,8 @@ from langchain.agents import agent_toolkits from langflow.interface.base import LangChainTypeCreator from langflow.interface.importing.utils import import_class, import_module -from langflow.settings import settings +from langflow.services.utils import get_settings_manager + from langflow.utils.logger import logger from langflow.utils.util import build_template_from_class @@ -29,13 +30,15 @@ class ToolkitCreator(LangChainTypeCreator): @property def type_to_loader_dict(self) -> Dict: if self.type_dict is None: + settings_manager = get_settings_manager() self.type_dict = { toolkit_name: import_class( f"langchain.agents.agent_toolkits.{toolkit_name}" ) # if toolkit_name is not lower case it is a class for toolkit_name in agent_toolkits.__all__ - if not toolkit_name.islower() and toolkit_name in settings.toolkits + if not toolkit_name.islower() + and toolkit_name in settings_manager.settings.TOOLKITS } return self.type_dict diff --git a/src/backend/langflow/interface/tools/base.py b/src/backend/langflow/interface/tools/base.py index f8965134d..1dbc9a6ed 100644 --- a/src/backend/langflow/interface/tools/base.py +++ b/src/backend/langflow/interface/tools/base.py @@ -15,7 +15,8 @@ from langflow.interface.tools.constants import ( OTHER_TOOLS, ) from langflow.interface.tools.util import get_tool_params -from langflow.settings import settings +from langflow.services.utils import get_settings_manager + from langflow.template.field.base import TemplateField from langflow.template.template.base import Template from langflow.utils import util @@ -66,6 +67,7 @@ class ToolCreator(LangChainTypeCreator): @property def type_to_loader_dict(self) -> Dict: + settings_manager = get_settings_manager() if self.tools_dict is None: all_tools = {} @@ -74,7 +76,10 @@ class ToolCreator(LangChainTypeCreator): tool_name = tool_params.get("name") or tool - if tool_name in settings.tools or settings.dev: + if ( + tool_name in settings_manager.settings.TOOLS + or settings_manager.settings.DEV + ): if tool_name == "JsonSpec": tool_params["path"] = tool_params.pop("dict_") # type: ignore all_tools[tool_name] = { diff --git a/src/backend/langflow/interface/types.py b/src/backend/langflow/interface/types.py index 46fa781d6..885e33694 100644 --- a/src/backend/langflow/interface/types.py +++ b/src/backend/langflow/interface/types.py @@ -1,4 +1,7 @@ -from typing import Any +import ast +import contextlib +from typing import Any, List +from langflow.api.utils import merge_nested_dicts_with_renaming from langflow.interface.agents.base import agent_creator from langflow.interface.chains.base import chain_creator from langflow.interface.custom.constants import CUSTOM_COMPONENT_SUPPORTED_TYPES @@ -28,7 +31,6 @@ from langflow.interface.retrievers.base import retriever_creator from langflow.interface.custom.directory_reader import DirectoryReader from langflow.utils.logger import logger from langflow.utils.util import get_base_classes -from langflow.api.utils import merge_nested_dicts import re import warnings @@ -145,7 +147,7 @@ def add_code_field(template, raw_code, field_config): "dynamic": True, "required": True, "placeholder": "", - "show": True, + "show": field_config.pop("show", True), "multiline": True, "value": raw_code, "password": False, @@ -186,7 +188,7 @@ def build_frontend_node(custom_component: CustomComponent): return None -def update_display_name_and_description(frontend_node, template_config): +def update_attributes(frontend_node, template_config): """Update the display name and description of a frontend node""" if "display_name" in template_config: frontend_node["display_name"] = template_config["display_name"] @@ -194,6 +196,12 @@ def update_display_name_and_description(frontend_node, template_config): if "description" in template_config: frontend_node["description"] = template_config["description"] + if "beta" in template_config: + frontend_node["beta"] = template_config["beta"] + + if "documentation" in template_config: + frontend_node["documentation"] = template_config["documentation"] + def build_field_config(custom_component: CustomComponent): """Build the field configuration for a custom component""" @@ -247,55 +255,60 @@ def get_field_properties(extra_field): if not field_required: field_type = extract_type_from_optional(field_type) + with contextlib.suppress(Exception): + field_value = ast.literal_eval(field_value) return field_name, field_type, field_value, field_required -def add_base_classes(frontend_node, return_type): +def add_base_classes(frontend_node, return_types: List[str]): """Add base classes to the frontend node""" - if return_type not in CUSTOM_COMPONENT_SUPPORTED_TYPES or return_type is None: - raise HTTPException( - status_code=400, - detail={ - "error": ( - "Invalid return type should be one of: " - f"{list(CUSTOM_COMPONENT_SUPPORTED_TYPES.keys())}" - ), - "traceback": traceback.format_exc(), - }, - ) + for return_type in return_types: + if return_type not in CUSTOM_COMPONENT_SUPPORTED_TYPES or return_type is None: + raise HTTPException( + status_code=400, + detail={ + "error": ( + "Invalid return type should be one of: " + f"{list(CUSTOM_COMPONENT_SUPPORTED_TYPES.keys())}" + ), + "traceback": traceback.format_exc(), + }, + ) - return_type_instance = CUSTOM_COMPONENT_SUPPORTED_TYPES.get(return_type) - base_classes = get_base_classes(return_type_instance) + return_type_instance = CUSTOM_COMPONENT_SUPPORTED_TYPES.get(return_type) + base_classes = get_base_classes(return_type_instance) - for base_class in base_classes: - if base_class not in CLASSES_TO_REMOVE: - frontend_node.get("base_classes").append(base_class) + for base_class in base_classes: + if base_class not in CLASSES_TO_REMOVE: + frontend_node.get("base_classes").append(base_class) def build_langchain_template_custom_component(custom_component: CustomComponent): """Build a custom component template for the langchain""" + logger.debug("Building custom component template") frontend_node = build_frontend_node(custom_component) if frontend_node is None: return None - + logger.debug("Built base frontend node") template_config = custom_component.build_template_config - update_display_name_and_description(frontend_node, template_config) - + update_attributes(frontend_node, template_config) + logger.debug("Updated attributes") field_config = build_field_config(custom_component) + logger.debug("Built field config") add_extra_fields( frontend_node, field_config, custom_component.get_function_entrypoint_args ) - + logger.debug("Added extra fields") frontend_node = add_code_field( frontend_node, custom_component.code, field_config.get("code", {}) ) - + logger.debug("Added code field") add_base_classes( frontend_node, custom_component.get_function_entrypoint_return_type ) - + logger.debug("Added base classes") return frontend_node @@ -306,7 +319,7 @@ def load_files_from_path(path: str): return reader.get_files() -def build_and_validate_all_files(reader, file_list): +def build_and_validate_all_files(reader: DirectoryReader, file_list): """Build and validate all files""" data = reader.build_component_menu_list(file_list) @@ -319,31 +332,53 @@ def build_and_validate_all_files(reader, file_list): def build_valid_menu(valid_components): """Build the valid menu""" valid_menu = {} + logger.debug("------------------- VALID COMPONENTS -------------------") for menu_item in valid_components["menu"]: menu_name = menu_item["name"] valid_menu[menu_name] = {} for component in menu_item["components"]: + logger.debug(f"Building component: {component}") try: component_name = component["name"] component_code = component["code"] + component_output_types = component["output_types"] component_extractor = CustomComponent(code=component_code) component_extractor.is_check_valid() + component_template = build_langchain_template_custom_component( component_extractor ) + component_template["output_types"] = component_output_types + if len(component_output_types) == 1: + component_name = component_output_types[0] + else: + file_name = component.get("file").split(".")[0] + if "_" in file_name: + # turn .py file into camelcase + component_name = "".join( + [word.capitalize() for word in file_name.split("_")] + ) + else: + component_name = file_name valid_menu[menu_name][component_name] = component_template + logger.debug(f"Added {component_name} to valid menu to {menu_name}") except Exception as exc: - logger.error(f"Error while building custom component: {exc}") + logger.error(f"Error loading Component: {component['output_types']}") + logger.exception( + f"Error while building custom component {component_output_types}: {exc}" + ) return valid_menu def build_invalid_menu(invalid_components): """Build the invalid menu""" + if invalid_components.get("menu"): + logger.debug("------------------- INVALID COMPONENTS -------------------") invalid_menu = {} for menu_item in invalid_components["menu"]: menu_name = menu_item["name"] @@ -364,12 +399,16 @@ def build_invalid_menu(invalid_components): ) component_template["error"] = component.get("error", None) + logger.debug(component) + logger.debug(f"Component Path: {component.get('path', None)}") + logger.debug(f"Component Error: {component.get('error', None)}") component_template.get("template").get("code")["value"] = component_code invalid_menu[menu_name][component_name] = component_template + logger.debug(f"Added {component_name} to invalid menu to {menu_name}") except Exception as exc: - logger.error( + logger.exception( f"Error while creating custom component [{component_name}]: {str(exc)}" ) @@ -388,4 +427,4 @@ def build_langchain_custom_component_list_from_path(path: str): valid_menu = build_valid_menu(valid_components) invalid_menu = build_invalid_menu(invalid_components) - return merge_nested_dicts(valid_menu, invalid_menu) + return merge_nested_dicts_with_renaming(valid_menu, invalid_menu) diff --git a/src/backend/langflow/interface/utilities/base.py b/src/backend/langflow/interface/utilities/base.py index 6c12b0186..eb8cd60af 100644 --- a/src/backend/langflow/interface/utilities/base.py +++ b/src/backend/langflow/interface/utilities/base.py @@ -5,7 +5,8 @@ from langchain import SQLDatabase, utilities from langflow.custom.customs import get_custom_nodes from langflow.interface.base import LangChainTypeCreator from langflow.interface.importing.utils import import_class -from langflow.settings import settings +from langflow.services.utils import get_settings_manager + from langflow.template.frontend_node.utilities import UtilitiesFrontendNode from langflow.utils.logger import logger from langflow.utils.util import build_template_from_class @@ -26,6 +27,7 @@ class UtilityCreator(LangChainTypeCreator): from the langchain.chains module and filtering them according to the settings.utilities list. """ if self.type_dict is None: + settings_manager = get_settings_manager() self.type_dict = { utility_name: import_class(f"langchain.utilities.{utility_name}") for utility_name in utilities.__all__ @@ -35,7 +37,8 @@ class UtilityCreator(LangChainTypeCreator): self.type_dict = { name: utility for name, utility in self.type_dict.items() - if name in settings.utilities or settings.dev + if name in settings_manager.settings.UTILITIES + or settings_manager.settings.DEV } return self.type_dict diff --git a/src/backend/langflow/interface/utils.py b/src/backend/langflow/interface/utils.py index 9203915cf..1fddbf80f 100644 --- a/src/backend/langflow/interface/utils.py +++ b/src/backend/langflow/interface/utils.py @@ -9,7 +9,8 @@ import yaml from langchain.base_language import BaseLanguageModel from PIL.Image import Image from langflow.utils.logger import logger -from langflow.chat.config import ChatConfig +from langflow.services.chat.config import ChatConfig +from langflow.services.utils import get_settings_manager def load_file_into_dict(file_path: str) -> dict: @@ -63,24 +64,21 @@ def extract_input_variables_from_prompt(prompt: str) -> list[str]: def setup_llm_caching(): """Setup LLM caching.""" - - from langflow.settings import settings - + settings_manager = get_settings_manager() try: - set_langchain_cache(settings) + set_langchain_cache(settings_manager.settings) except ImportError: - logger.warning(f"Could not import {settings.cache}. ") + logger.warning(f"Could not import {settings_manager.settings.CACHE}. ") except Exception as exc: logger.warning(f"Could not setup LLM caching. Error: {exc}") -# TODO Rename this here and in `setup_llm_caching` def set_langchain_cache(settings): import langchain from langflow.interface.importing.utils import import_class cache_type = os.getenv("LANGFLOW_LANGCHAIN_CACHE") - cache_class = import_class(f"langchain.cache.{cache_type or settings.cache}") + cache_class = import_class(f"langchain.cache.{cache_type or settings.CACHE}") logger.debug(f"Setting up LLM caching with {cache_class.__name__}") langchain.llm_cache = cache_class() diff --git a/src/backend/langflow/interface/vector_store/base.py b/src/backend/langflow/interface/vector_store/base.py index 7ec1e0f5b..4b8ca2b64 100644 --- a/src/backend/langflow/interface/vector_store/base.py +++ b/src/backend/langflow/interface/vector_store/base.py @@ -4,7 +4,8 @@ from langchain import vectorstores from langflow.interface.base import LangChainTypeCreator from langflow.interface.importing.utils import import_class -from langflow.settings import settings +from langflow.services.utils import get_settings_manager + from langflow.template.frontend_node.vectorstores import VectorStoreFrontendNode from langflow.utils.logger import logger from langflow.utils.util import build_template_from_method @@ -43,10 +44,12 @@ class VectorstoreCreator(LangChainTypeCreator): return None def to_list(self) -> List[str]: + settings_manager = get_settings_manager() return [ vectorstore for vectorstore in self.type_to_loader_dict.keys() - if vectorstore in settings.vectorstores or settings.dev + if vectorstore in settings_manager.settings.VECTORSTORES + or settings_manager.settings.DEV ] diff --git a/src/backend/langflow/main.py b/src/backend/langflow/main.py index 43a63d564..b63caff24 100644 --- a/src/backend/langflow/main.py +++ b/src/backend/langflow/main.py @@ -6,24 +6,22 @@ from fastapi.responses import FileResponse from fastapi.staticfiles import StaticFiles from langflow.api import router -from langflow.database.base import create_db_and_tables +from langflow.routers import login, users, health + from langflow.interface.utils import setup_llm_caching +from langflow.services.database.utils import initialize_database +from langflow.services.manager import initialize_services from langflow.utils.logger import configure def create_app(): """Create the FastAPI app and include the router.""" + configure() app = FastAPI() - origins = [ - "*", - ] - - @app.get("/health") - def get_health(): - return {"status": "OK"} + origins = ["*"] app.add_middleware( CORSMiddleware, @@ -33,8 +31,14 @@ def create_app(): allow_headers=["*"], ) + app.include_router(login.router) + app.include_router(users.router) + app.include_router(health.router) + app.include_router(router) - app.on_event("startup")(create_db_and_tables) + + app.on_event("startup")(initialize_services) + app.on_event("startup")(initialize_database) app.on_event("startup")(setup_llm_caching) return app @@ -67,16 +71,19 @@ def get_static_files_dir(): return frontend_path / "frontend" -def setup_app(static_files_dir: Optional[Path] = None) -> FastAPI: +def setup_app( + static_files_dir: Optional[Path] = None, backend_only: bool = False +) -> FastAPI: """Setup the FastAPI app.""" # get the directory of the current file if not static_files_dir: static_files_dir = get_static_files_dir() - if not static_files_dir or not static_files_dir.exists(): + if not backend_only and (not static_files_dir or not static_files_dir.exists()): raise RuntimeError(f"Static files directory {static_files_dir} does not exist.") app = create_app() - setup_static_files(app, static_files_dir) + if not backend_only and static_files_dir is not None: + setup_static_files(app, static_files_dir) return app diff --git a/src/backend/langflow/processing/base.py b/src/backend/langflow/processing/base.py index f1d7b6e56..13ff6a385 100644 --- a/src/backend/langflow/processing/base.py +++ b/src/backend/langflow/processing/base.py @@ -5,6 +5,7 @@ from langflow.api.v1.callback import ( ) from langflow.processing.process import fix_memory_inputs, format_actions from langflow.utils.logger import logger +from langchain.agents.agent import AgentExecutor async def get_result_and_steps(langchain_object, inputs: Union[dict, str], **kwargs): @@ -20,7 +21,8 @@ async def get_result_and_steps(langchain_object, inputs: Union[dict, str], **kwa # to display intermediate steps langchain_object.return_intermediate_steps = True try: - fix_memory_inputs(langchain_object) + if not isinstance(langchain_object, AgentExecutor): + fix_memory_inputs(langchain_object) except Exception as exc: logger.error(f"Error fixing memory inputs: {exc}") diff --git a/src/backend/langflow/processing/process.py b/src/backend/langflow/processing/process.py index 8cefb1f44..396135e16 100644 --- a/src/backend/langflow/processing/process.py +++ b/src/backend/langflow/processing/process.py @@ -85,39 +85,55 @@ def get_input_str_if_only_one_input(inputs: dict) -> Optional[str]: return list(inputs.values())[0] if len(inputs) == 1 else None -def process_graph_cached( - data_graph: Dict[str, Any], inputs: Optional[dict] = None, clear_cache=False -): - """ - Process graph by extracting input variables and replacing ZeroShotPrompt - with PromptTemplate,then run the graph and return the result and thought. - """ - # Load langchain object +def get_build_result(data_graph, session_id): + # If session_id is provided, load the langchain_object from the session + # using build_sorted_vertices_with_caching.get_result_by_session_id + # if it returns something different than None, return it + # otherwise, build the graph and return the result + if session_id: + logger.debug(f"Loading LangChain object from session {session_id}") + result = build_sorted_vertices_with_caching.get_result_by_session_id(session_id) + if result is not None: + logger.debug("Loaded LangChain object") + return result + + logger.debug("Building langchain object") + return build_sorted_vertices_with_caching(data_graph) + + +def clear_caches_if_needed(clear_cache: bool): if clear_cache: build_sorted_vertices_with_caching.clear_cache() logger.debug("Cleared cache") - langchain_object, artifacts = build_sorted_vertices_with_caching(data_graph) - logger.debug("Loaded LangChain object") - if inputs is None: - inputs = {} - # Add artifacts to inputs - # artifacts can be documents loaded when building - # the flow - for ( - key, - value, - ) in artifacts.items(): - if key not in inputs or not inputs[key]: - inputs[key] = value + +def load_langchain_object( + data_graph: Dict[str, Any], session_id: str +) -> Tuple[Union[Chain, VectorStore], Dict[str, Any], str]: + langchain_object, artifacts = get_build_result(data_graph, session_id) + session_id = build_sorted_vertices_with_caching.hash + logger.debug("Loaded LangChain object") if langchain_object is None: - # Raise user facing error raise ValueError( "There was an error loading the langchain_object. Please, check all the nodes and try again." ) - # Generate result and thought + return langchain_object, artifacts, session_id + + +def process_inputs(inputs: Optional[dict], artifacts: Dict[str, Any]) -> dict: + if inputs is None: + inputs = {} + + for key, value in artifacts.items(): + if key not in inputs or not inputs[key]: + inputs[key] = value + + return inputs + + +def generate_result(langchain_object: Union[Chain, VectorStore], inputs: dict): if isinstance(langchain_object, Chain): if inputs is None: raise ValueError("Inputs must be provided for a Chain") @@ -130,9 +146,28 @@ def process_graph_cached( raise ValueError( f"Unknown langchain_object type: {type(langchain_object).__name__}" ) + return result +def process_graph_cached( + data_graph: Dict[str, Any], + inputs: Optional[dict] = None, + clear_cache=False, + session_id=None, +) -> Tuple[Any, str]: + clear_caches_if_needed(clear_cache) + # If session_id is provided, load the langchain_object from the session + # else build the graph and return the result and the new session_id + langchain_object, artifacts, session_id = load_langchain_object( + data_graph, session_id + ) + processed_inputs = process_inputs(inputs, artifacts) + result = generate_result(langchain_object, processed_inputs) + + return result, session_id + + def load_flow_from_json( flow: Union[Path, str, dict], tweaks: Optional[dict] = None, build=True ): diff --git a/src/backend/langflow/routers/__init__.py b/src/backend/langflow/routers/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/src/backend/langflow/routers/health.py b/src/backend/langflow/routers/health.py new file mode 100644 index 000000000..244ef001d --- /dev/null +++ b/src/backend/langflow/routers/health.py @@ -0,0 +1,8 @@ +from fastapi import APIRouter + +router = APIRouter() + + +@router.get("/health") +def get_health(): + return {"status": "OK"} diff --git a/src/backend/langflow/routers/login.py b/src/backend/langflow/routers/login.py new file mode 100644 index 000000000..7d114473d --- /dev/null +++ b/src/backend/langflow/routers/login.py @@ -0,0 +1,62 @@ +from uuid import UUID +from sqlalchemy.orm import Session +from fastapi import APIRouter, Depends, HTTPException, status +from fastapi.security import OAuth2PasswordRequestForm + +from langflow.services.utils import get_session +from langflow.database.models.token import Token +from langflow.auth.auth import ( + authenticate_user, + create_user_tokens, + create_refresh_token, + create_user_longterm_token, +) + +from langflow.services.utils import get_settings_manager + +router = APIRouter() + + +@router.post("/login", response_model=Token) +async def login_to_get_access_token( + form_data: OAuth2PasswordRequestForm = Depends(), + db: Session = Depends(get_session), + # _: Session = Depends(get_current_active_user) +): + if user := authenticate_user(form_data.username, form_data.password, db): + return create_user_tokens(user_id=user.id, db=db, update_last_login=True) + else: + raise HTTPException( + status_code=status.HTTP_401_UNAUTHORIZED, + detail="Incorrect username or password", + headers={"WWW-Authenticate": "Bearer"}, + ) + + +@router.get("/auto_login") +async def auto_login(db: Session = Depends(get_session)): + settings_manager = get_settings_manager() + + if settings_manager.settings.AUTO_LOGIN: + user_id = UUID("3fa85f64-5717-4562-b3fc-2c963f66afa6") + return create_user_longterm_token(user_id, db) + + raise HTTPException( + status_code=status.HTTP_400_BAD_REQUEST, + detail={ + "message": "Auto login is disabled. Please enable it in the settings", + "auto_login": False, + }, + ) + + +@router.post("/refresh") +async def refresh_token(token: str): + if token: + return create_refresh_token(token) + else: + raise HTTPException( + status_code=status.HTTP_401_UNAUTHORIZED, + detail="Invalid refresh token", + headers={"WWW-Authenticate": "Bearer"}, + ) diff --git a/src/backend/langflow/routers/users.py b/src/backend/langflow/routers/users.py new file mode 100644 index 000000000..da738a5cd --- /dev/null +++ b/src/backend/langflow/routers/users.py @@ -0,0 +1,133 @@ +from uuid import UUID + +from sqlalchemy import func +from sqlalchemy.exc import IntegrityError + +from sqlmodel import Session, select +from fastapi import APIRouter, Depends, HTTPException + +from langflow.services.utils import get_session +from langflow.auth.auth import get_current_active_user, get_password_hash +from langflow.database.models.user import ( + User, + UserAddModel, + UserListModel, + UserPatchModel, + UsersResponse, + update_user, +) + +router = APIRouter(tags=["Login"]) + + +@router.post("/user", response_model=UserListModel) +def add_user( + user: UserAddModel, + db: Session = Depends(get_session), +) -> User: + """ + Add a new user to the database. + """ + new_user = User(**user.dict()) + try: + new_user.password = get_password_hash(user.password) + + db.add(new_user) + db.commit() + db.refresh(new_user) + except IntegrityError as e: + db.rollback() + raise HTTPException(status_code=400, detail="User exists") from e + + return new_user + + +@router.get("/user", response_model=UserListModel) +def read_current_user(current_user: User = Depends(get_current_active_user)) -> User: + """ + Retrieve the current user's data. + """ + return current_user + + +@router.get("/users", response_model=UsersResponse) +def read_all_users( + skip: int = 0, + limit: int = 10, + _: Session = Depends(get_current_active_user), + db: Session = Depends(get_session), +) -> UsersResponse: + """ + Retrieve a list of users from the database with pagination. + """ + query = select(User).offset(skip).limit(limit) + users = db.execute(query).fetchall() + + count_query = select(func.count()).select_from(User) # type: ignore + total_count = db.execute(count_query).scalar() + + return UsersResponse( + total_count=total_count, # type: ignore + users=[UserListModel(**dict(user.User)) for user in users], + ) + + +@router.patch("/user/{user_id}", response_model=UserListModel) +def patch_user( + user_id: UUID, + user: UserPatchModel, + _: Session = Depends(get_current_active_user), + db: Session = Depends(get_session), +) -> User: + """ + Update an existing user's data. + """ + return update_user(user_id, user, db) + + +@router.delete("/user/{user_id}") +def delete_user( + user_id: UUID, + _: Session = Depends(get_current_active_user), + db: Session = Depends(get_session), +) -> dict: + """ + Delete a user from the database. + """ + user_db = db.query(User).filter(User.id == user_id).first() + if not user_db: + raise HTTPException(status_code=404, detail="User not found") + + db.delete(user_db) + db.commit() + + return {"detail": "User deleted"} + + +# TODO: REMOVE - Just for testing purposes +@router.post("/super_user", response_model=User) +def add_super_user_for_testing_purposes_delete_me_before_merge_into_dev( + db: Session = Depends(get_session), +) -> User: + """ + Add a superuser for testing purposes. + (This should be removed in production) + """ + new_user = User( + username="superuser", + password="12345", + is_active=True, + is_superuser=True, + last_login_at=None, + ) + + try: + new_user.password = get_password_hash(new_user.password) + db.add(new_user) + db.commit() + db.refresh(new_user) + except IntegrityError as e: + db.rollback() + raise HTTPException(status_code=400, detail="User exists") from e + + return new_user diff --git a/src/backend/langflow/services/__init__.py b/src/backend/langflow/services/__init__.py new file mode 100644 index 000000000..8ac74b5b9 --- /dev/null +++ b/src/backend/langflow/services/__init__.py @@ -0,0 +1,4 @@ +from .manager import service_manager +from .schema import ServiceType + +__all__ = ["service_manager", "ServiceType"] diff --git a/src/backend/langflow/services/base.py b/src/backend/langflow/services/base.py new file mode 100644 index 000000000..6bca6c4e2 --- /dev/null +++ b/src/backend/langflow/services/base.py @@ -0,0 +1,2 @@ +class Service: + name: str diff --git a/src/backend/langflow/services/cache/__init__.py b/src/backend/langflow/services/cache/__init__.py new file mode 100644 index 000000000..79e143807 --- /dev/null +++ b/src/backend/langflow/services/cache/__init__.py @@ -0,0 +1,11 @@ +from . import factory, manager +from langflow.services.cache.manager import cache_manager +from langflow.services.cache.flow import InMemoryCache + + +__all__ = [ + "cache_manager", + "factory", + "manager", + "InMemoryCache", +] diff --git a/src/backend/langflow/cache/base.py b/src/backend/langflow/services/cache/base.py similarity index 100% rename from src/backend/langflow/cache/base.py rename to src/backend/langflow/services/cache/base.py diff --git a/src/backend/langflow/services/cache/factory.py b/src/backend/langflow/services/cache/factory.py new file mode 100644 index 000000000..77f8d58d1 --- /dev/null +++ b/src/backend/langflow/services/cache/factory.py @@ -0,0 +1,11 @@ +from langflow.services.cache.manager import CacheManager +from langflow.services.factory import ServiceFactory + + +class CacheManagerFactory(ServiceFactory): + def __init__(self): + super().__init__(CacheManager) + + def create(self, settings_service): + # Here you would have logic to create and configure a CacheManager + return CacheManager() diff --git a/src/backend/langflow/cache/flow.py b/src/backend/langflow/services/cache/flow.py similarity index 98% rename from src/backend/langflow/cache/flow.py rename to src/backend/langflow/services/cache/flow.py index 6d8fee977..0c10c51e1 100644 --- a/src/backend/langflow/cache/flow.py +++ b/src/backend/langflow/services/cache/flow.py @@ -2,7 +2,7 @@ import threading import time from collections import OrderedDict -from langflow.cache.base import BaseCache +from langflow.services.cache.base import BaseCache class InMemoryCache(BaseCache): diff --git a/src/backend/langflow/cache/manager.py b/src/backend/langflow/services/cache/manager.py similarity index 97% rename from src/backend/langflow/cache/manager.py rename to src/backend/langflow/services/cache/manager.py index 13b281008..ce9a338ef 100644 --- a/src/backend/langflow/cache/manager.py +++ b/src/backend/langflow/services/cache/manager.py @@ -1,5 +1,6 @@ from contextlib import contextmanager from typing import Any, Awaitable, Callable, List, Optional +from langflow.services.base import Service import pandas as pd from PIL import Image @@ -49,9 +50,11 @@ class AsyncSubject: await observer() -class CacheManager(Subject): +class CacheManager(Subject, Service): """Manages cache for different clients and notifies observers on changes.""" + name = "cache_manager" + def __init__(self): super().__init__() self._cache = {} diff --git a/src/backend/langflow/cache/utils.py b/src/backend/langflow/services/cache/utils.py similarity index 88% rename from src/backend/langflow/cache/utils.py rename to src/backend/langflow/services/cache/utils.py index 3deabe9f4..2333eb5f4 100644 --- a/src/backend/langflow/cache/utils.py +++ b/src/backend/langflow/services/cache/utils.py @@ -30,6 +30,7 @@ def create_cache_folder(func): def memoize_dict(maxsize=128): cache = OrderedDict() + hash_to_key = {} # Mapping from hash to cache key def decorator(func): @functools.wraps(func) @@ -39,16 +40,29 @@ def memoize_dict(maxsize=128): if key not in cache: result = func(*args, **kwargs) cache[key] = result + hash_to_key[hashed] = key # Store the mapping if len(cache) > maxsize: - cache.popitem(last=False) + oldest_key = next(iter(cache)) + oldest_hash = oldest_key[1] + del cache[oldest_key] + del hash_to_key[oldest_hash] else: result = cache[key] + + wrapper.session_id = hashed # Store hash in the wrapper return result def clear_cache(): cache.clear() + hash_to_key.clear() + + def get_result_by_session_id(session_id): + key = hash_to_key.get(session_id) + return cache.get(key) if key is not None else None wrapper.clear_cache = clear_cache # type: ignore + wrapper.get_result_by_session_id = get_result_by_session_id # type: ignore + wrapper.hash = None wrapper.cache = cache # type: ignore return wrapper diff --git a/src/backend/langflow/services/chat/__init__.py b/src/backend/langflow/services/chat/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/src/backend/langflow/chat/config.py b/src/backend/langflow/services/chat/config.py similarity index 100% rename from src/backend/langflow/chat/config.py rename to src/backend/langflow/services/chat/config.py diff --git a/src/backend/langflow/services/chat/factory.py b/src/backend/langflow/services/chat/factory.py new file mode 100644 index 000000000..03597ed11 --- /dev/null +++ b/src/backend/langflow/services/chat/factory.py @@ -0,0 +1,11 @@ +from langflow.services.chat.manager import ChatManager +from langflow.services.factory import ServiceFactory + + +class ChatManagerFactory(ServiceFactory): + def __init__(self): + super().__init__(ChatManager) + + def create(self, settings_service): + # Here you would have logic to create and configure a ChatManager + return ChatManager() diff --git a/src/backend/langflow/chat/manager.py b/src/backend/langflow/services/chat/manager.py similarity index 94% rename from src/backend/langflow/chat/manager.py rename to src/backend/langflow/services/chat/manager.py index 1e93174e2..a49f48273 100644 --- a/src/backend/langflow/chat/manager.py +++ b/src/backend/langflow/services/chat/manager.py @@ -1,10 +1,12 @@ from collections import defaultdict from fastapi import WebSocket, status from langflow.api.v1.schemas import ChatMessage, ChatResponse, FileResponse -from langflow.cache import cache_manager -from langflow.cache.manager import Subject -from langflow.chat.utils import process_graph +from langflow.services.base import Service +from langflow.services import service_manager +from langflow.services.cache.manager import Subject +from langflow.services.chat.utils import process_graph from langflow.interface.utils import pil_to_base64 +from langflow.services.schema import ServiceType from langflow.utils.logger import logger @@ -12,7 +14,7 @@ import asyncio import json from typing import Any, Dict, List -from langflow.cache.flow import InMemoryCache +from langflow.services.cache.flow import InMemoryCache class ChatHistory(Subject): @@ -42,11 +44,13 @@ class ChatHistory(Subject): self.history[client_id] = [] -class ChatManager: +class ChatManager(Service): + name = "chat_manager" + def __init__(self): self.active_connections: Dict[str, WebSocket] = {} self.chat_history = ChatHistory() - self.cache_manager = cache_manager + self.cache_manager = service_manager.get(ServiceType.CACHE_MANAGER) self.cache_manager.attach(self.update) self.in_memory_cache = InMemoryCache() @@ -117,7 +121,7 @@ class ChatManager: self, client_id: str, payload: Dict, langchain_object: Any ): # Process the graph data and chat message - chat_inputs = payload.pop("inputs", "") + chat_inputs = payload.pop("inputs", {}) chat_inputs = ChatMessage(message=chat_inputs) self.chat_history.add_message(client_id, chat_inputs) diff --git a/src/backend/langflow/chat/utils.py b/src/backend/langflow/services/chat/utils.py similarity index 93% rename from src/backend/langflow/chat/utils.py rename to src/backend/langflow/services/chat/utils.py index 7db65b8e3..17c976eb9 100644 --- a/src/backend/langflow/chat/utils.py +++ b/src/backend/langflow/services/chat/utils.py @@ -21,9 +21,9 @@ async def process_graph( # Generate result and thought try: - if not chat_inputs.message: + if chat_inputs.message is None: logger.debug("No message provided") - raise ValueError("No message provided") + chat_inputs.message = {} logger.debug("Generating result and thought") result, intermediate_steps = await get_result_and_steps( diff --git a/src/backend/langflow/services/database/__init__.py b/src/backend/langflow/services/database/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/src/backend/langflow/services/database/factory.py b/src/backend/langflow/services/database/factory.py new file mode 100644 index 000000000..fecf24543 --- /dev/null +++ b/src/backend/langflow/services/database/factory.py @@ -0,0 +1,17 @@ +from typing import TYPE_CHECKING +from langflow.services.database.manager import DatabaseManager +from langflow.services.factory import ServiceFactory + +if TYPE_CHECKING: + from langflow.services.settings.manager import SettingsManager + + +class DatabaseManagerFactory(ServiceFactory): + def __init__(self): + super().__init__(DatabaseManager) + + def create(self, settings_service: "SettingsManager"): + # Here you would have logic to create and configure a DatabaseManager + if not settings_service.settings.DATABASE_URL: + raise ValueError("No database URL provided") + return DatabaseManager(settings_service.settings.DATABASE_URL) diff --git a/src/backend/langflow/services/database/manager.py b/src/backend/langflow/services/database/manager.py new file mode 100644 index 000000000..bf90703e2 --- /dev/null +++ b/src/backend/langflow/services/database/manager.py @@ -0,0 +1,84 @@ +from pathlib import Path +from typing import TYPE_CHECKING +from langflow.services.base import Service +from langflow.services.utils import get_settings_manager +from sqlmodel import SQLModel, Session, create_engine +from langflow.utils.logger import logger +from alembic.config import Config +from alembic import command +from langflow.services.database import models # noqa + +if TYPE_CHECKING: + from sqlalchemy.engine import Engine + + +class DatabaseManager(Service): + name = "database_manager" + + def __init__(self, database_url: str): + self.database_url = database_url + # This file is in langflow.services.database.manager.py + # the ini is in langflow + langflow_dir = Path(__file__).parent.parent.parent + self.script_location = langflow_dir / "alembic" + self.alembic_cfg_path = langflow_dir / "alembic.ini" + self.engine = self._create_engine() + + def _create_engine(self) -> "Engine": + """Create the engine for the database.""" + settings_manager = get_settings_manager() + if ( + settings_manager.settings.DATABASE_URL + and settings_manager.settings.DATABASE_URL.startswith("sqlite") + ): + connect_args = {"check_same_thread": False} + else: + connect_args = {} + return create_engine(self.database_url, connect_args=connect_args) + + def __enter__(self): + self._session = Session(self.engine) + return self._session + + def __exit__(self, exc_type, exc_value, traceback): + if exc_type is not None: # If an exception has been raised + logger.error( + f"Session rollback because of exception: {exc_type.__name__} {exc_value}" + ) + self._session.rollback() + else: + self._session.commit() + self._session.close() + + def get_session(self): + with Session(self.engine) as session: + yield session + + def run_migrations(self): + logger.info( + f"Running DB migrations in {self.script_location} on {self.database_url}" + ) + alembic_cfg = Config() + alembic_cfg.set_main_option("script_location", str(self.script_location)) + alembic_cfg.set_main_option("sqlalchemy.url", self.database_url) + command.upgrade(alembic_cfg, "head") + + def create_db_and_tables(self): + logger.debug("Creating database and tables") + try: + SQLModel.metadata.create_all(self.engine) + except Exception as exc: + logger.error(f"Error creating database and tables: {exc}") + raise RuntimeError("Error creating database and tables") from exc + + # Now check if the table "flow" exists, if not, something went wrong + # and we need to create the tables again. + from sqlalchemy import inspect + + inspector = inspect(self.engine) + if "flow" not in inspector.get_table_names(): + logger.error("Something went wrong creating the database and tables.") + logger.error("Please check your database settings.") + raise RuntimeError("Something went wrong creating the database and tables.") + else: + logger.debug("Database and tables created successfully") diff --git a/src/backend/langflow/services/database/models/__init__.py b/src/backend/langflow/services/database/models/__init__.py new file mode 100644 index 000000000..da47bc5fe --- /dev/null +++ b/src/backend/langflow/services/database/models/__init__.py @@ -0,0 +1,4 @@ +from .flow import Flow + + +__all__ = ["Flow"] diff --git a/src/backend/langflow/database/models/base.py b/src/backend/langflow/services/database/models/base.py similarity index 100% rename from src/backend/langflow/database/models/base.py rename to src/backend/langflow/services/database/models/base.py diff --git a/src/backend/langflow/database/models/component.py b/src/backend/langflow/services/database/models/component.py similarity index 92% rename from src/backend/langflow/database/models/component.py rename to src/backend/langflow/services/database/models/component.py index bb2408cdb..5c4e6c13a 100644 --- a/src/backend/langflow/database/models/component.py +++ b/src/backend/langflow/services/database/models/component.py @@ -1,4 +1,4 @@ -from langflow.database.models.base import SQLModelSerializable, SQLModel +from langflow.services.database.models.base import SQLModelSerializable, SQLModel from sqlmodel import Field from typing import Optional from datetime import datetime diff --git a/src/backend/langflow/database/models/flow.py b/src/backend/langflow/services/database/models/flow.py similarity index 72% rename from src/backend/langflow/database/models/flow.py rename to src/backend/langflow/services/database/models/flow.py index f9e3aa249..2bc83f9dc 100644 --- a/src/backend/langflow/database/models/flow.py +++ b/src/backend/langflow/services/database/models/flow.py @@ -1,13 +1,12 @@ # Path: src/backend/langflow/database/models/flow.py -from langflow.database.models.base import SQLModelSerializable +from langflow.services.database.models.base import SQLModelSerializable from pydantic import validator -from sqlmodel import Field, Relationship, JSON, Column +from sqlmodel import Field, JSON, Column from uuid import UUID, uuid4 from typing import Dict, Optional # if TYPE_CHECKING: -from langflow.database.models.flow_style import FlowStyle, FlowStyleRead class FlowBase(SQLModelSerializable): @@ -35,11 +34,6 @@ class FlowBase(SQLModelSerializable): class Flow(FlowBase, table=True): id: UUID = Field(default_factory=uuid4, primary_key=True, unique=True) data: Optional[Dict] = Field(default=None, sa_column=Column(JSON)) - style: Optional["FlowStyle"] = Relationship( - back_populates="flow", - # use "uselist=False" to make it a one-to-one relationship - sa_relationship_kwargs={"uselist": False}, - ) class FlowCreate(FlowBase): @@ -50,10 +44,6 @@ class FlowRead(FlowBase): id: UUID -class FlowReadWithStyle(FlowRead): - style: Optional["FlowStyleRead"] = None - - class FlowUpdate(SQLModelSerializable): name: Optional[str] = None description: Optional[str] = None diff --git a/src/backend/langflow/services/database/utils.py b/src/backend/langflow/services/database/utils.py new file mode 100644 index 000000000..94bcd6651 --- /dev/null +++ b/src/backend/langflow/services/database/utils.py @@ -0,0 +1,47 @@ +from typing import TYPE_CHECKING +from langflow.utils.logger import logger +from contextlib import contextmanager +from alembic.util.exc import CommandError +from sqlmodel import Session + +if TYPE_CHECKING: + from langflow.services.database.manager import DatabaseManager + + +def initialize_database(): + logger.debug("Initializing database") + from langflow.services import service_manager, ServiceType + + database_manager = service_manager.get(ServiceType.DATABASE_MANAGER) + try: + database_manager.run_migrations() + except CommandError as exc: + if "Can't locate revision identified by" not in str(exc): + raise exc + # This means there's wrong revision in the DB + # We need to delete the alembic_version table + # and run the migrations again + logger.warning( + "Wrong revision in DB, deleting alembic_version table and running migrations again" + ) + with session_getter(database_manager) as session: + session.execute("DROP TABLE alembic_version") + database_manager.run_migrations() + except Exception as exc: + logger.error(f"Error running migrations: {exc}") + raise RuntimeError("Error running migrations") from exc + database_manager.create_db_and_tables() + logger.debug("Database initialized") + + +@contextmanager +def session_getter(db_manager: "DatabaseManager"): + try: + session = Session(db_manager.engine) + yield session + except Exception as e: + print("Session rollback because of exception:", e) + session.rollback() + raise + finally: + session.close() diff --git a/src/backend/langflow/services/factory.py b/src/backend/langflow/services/factory.py new file mode 100644 index 000000000..c37f4e9c2 --- /dev/null +++ b/src/backend/langflow/services/factory.py @@ -0,0 +1,6 @@ +class ServiceFactory: + def __init__(self, service_class): + self.service_class = service_class + + def create(self, *args, **kwargs): + raise NotImplementedError diff --git a/src/backend/langflow/services/manager.py b/src/backend/langflow/services/manager.py new file mode 100644 index 000000000..f05102d0e --- /dev/null +++ b/src/backend/langflow/services/manager.py @@ -0,0 +1,97 @@ +from langflow.services.schema import ServiceType +from typing import TYPE_CHECKING + +if TYPE_CHECKING: + from langflow.services.factory import ServiceFactory + + +class ServiceManager: + """ + Manages the creation of different services. + """ + + def __init__(self): + self.services = {} + self.factories = {} + + def register_factory(self, service_factory: "ServiceFactory"): + """ + Registers a new factory. + """ + if service_factory.service_class.name not in self.factories: + self.factories[service_factory.service_class.name] = service_factory + + def get(self, service_name: ServiceType): + """ + Get (or create) a service by its name. + """ + if service_name not in self.services: + self._create_service(service_name) + + return self.services[service_name] + + def _create_service(self, service_name: ServiceType): + """ + Create a new service given its name. + """ + self._validate_service_creation(service_name) + + if service_name == ServiceType.SETTINGS_MANAGER: + self.services[service_name] = self.factories[service_name].create() + else: + settings_service = self.get(ServiceType.SETTINGS_MANAGER) + self.services[service_name] = self.factories[service_name].create( + settings_service + ) + + def _validate_service_creation(self, service_name: ServiceType): + """ + Validate whether the service can be created. + """ + if service_name not in self.factories: + raise ValueError( + f"No factory registered for the service class '{service_name.name}'" + ) + + if ( + ServiceType.SETTINGS_MANAGER not in self.factories + and service_name != ServiceType.SETTINGS_MANAGER + ): + raise ValueError( + f"Cannot create service '{service_name.name}' before the settings service" + ) + + def update(self, service_name: ServiceType): + """ + Update a service by its name. + """ + if service_name in self.services: + self.services.pop(service_name, None) + self.get(service_name) + + +service_manager = ServiceManager() + + +def initialize_services(): + """ + Initialize all the services needed. + """ + from langflow.services.database import factory as database_factory + from langflow.services.cache import factory as cache_factory + from langflow.services.chat import factory as chat_factory + from langflow.services.settings import factory as settings_factory + + service_manager.register_factory(settings_factory.SettingsManagerFactory()) + service_manager.register_factory(database_factory.DatabaseManagerFactory()) + service_manager.register_factory(cache_factory.CacheManagerFactory()) + service_manager.register_factory(chat_factory.ChatManagerFactory()) + + +def initialize_settings_manager(): + """ + Initialize the settings manager. + """ + from langflow.services.settings import factory as settings_factory + + service_manager.register_factory(settings_factory.SettingsManagerFactory()) diff --git a/src/backend/langflow/services/schema.py b/src/backend/langflow/services/schema.py new file mode 100644 index 000000000..695763afc --- /dev/null +++ b/src/backend/langflow/services/schema.py @@ -0,0 +1,13 @@ +from enum import Enum + + +class ServiceType(str, Enum): + """ + Enum for the different types of services that can be + registered with the service manager. + """ + + CACHE_MANAGER = "cache_manager" + SETTINGS_MANAGER = "settings_manager" + DATABASE_MANAGER = "database_manager" + CHAT_MANAGER = "chat_manager" diff --git a/src/backend/langflow/services/settings/__init__.py b/src/backend/langflow/services/settings/__init__.py new file mode 100644 index 000000000..2191bf2cc --- /dev/null +++ b/src/backend/langflow/services/settings/__init__.py @@ -0,0 +1,3 @@ +from . import factory, manager + +__all__ = ["factory", "manager"] diff --git a/src/backend/langflow/services/settings/base.py b/src/backend/langflow/services/settings/base.py new file mode 100644 index 000000000..b4f0b2432 --- /dev/null +++ b/src/backend/langflow/services/settings/base.py @@ -0,0 +1,232 @@ +import contextlib +import json +import os +from shutil import copy2 +import secrets +from typing import Optional, List +from pathlib import Path + +import yaml +from pydantic import BaseSettings, root_validator, validator +from langflow.utils.logger import logger + +# BASE_COMPONENTS_PATH = str(Path(__file__).parent / "components") +BASE_COMPONENTS_PATH = str(Path(__file__).parent.parent.parent / "components") + + +class Settings(BaseSettings): + CHAINS: dict = {} + AGENTS: dict = {} + PROMPTS: dict = {} + LLMS: dict = {} + TOOLS: dict = {} + MEMORIES: dict = {} + EMBEDDINGS: dict = {} + VECTORSTORES: dict = {} + DOCUMENTLOADERS: dict = {} + WRAPPERS: dict = {} + RETRIEVERS: dict = {} + TOOLKITS: dict = {} + TEXTSPLITTERS: dict = {} + UTILITIES: dict = {} + OUTPUT_PARSERS: dict = {} + CUSTOM_COMPONENTS: dict = {} + + # Define the default LANGFLOW_DIR + CONFIG_DIR: Optional[str] = None + + DEV: bool = False + DATABASE_URL: Optional[str] = None + CACHE: str = "InMemoryCache" + REMOVE_API_KEYS: bool = False + COMPONENTS_PATH: List[str] = [] + + # Login settings + SECRET_KEY: str = secrets.token_hex(32) + ALGORITHM: str = "HS256" + ACCESS_TOKEN_EXPIRE_MINUTES: int = 60 + REFRESH_TOKEN_EXPIRE_MINUTES: int = 70 + # If AUTO_LOGIN = True + # > The application does not request login and logs in automatically as a super user. + AUTO_LOGIN: bool = True + + @validator("CONFIG_DIR", pre=True, allow_reuse=True) + def set_langflow_dir(cls, value): + if not value: + import appdirs + + # Define the app name and author + app_name = "langflow" + app_author = "logspace" + + # Get the cache directory for the application + cache_dir = appdirs.user_cache_dir(app_name, app_author) + + # Create a .langflow directory inside the cache directory + value = Path(cache_dir) + value.mkdir(parents=True, exist_ok=True) + + if isinstance(value, str): + value = Path(value) + if not value.exists(): + value.mkdir(parents=True, exist_ok=True) + + return str(value) + + @validator("DATABASE_URL", pre=True) + def set_database_url(cls, value, values): + if not value: + logger.debug( + "No database_url provided, trying LANGFLOW_DATABASE_URL env variable" + ) + if langflow_database_url := os.getenv("LANGFLOW_DATABASE_URL"): + value = langflow_database_url + logger.debug("Using LANGFLOW_DATABASE_URL env variable.") + else: + logger.debug("No DATABASE_URL env variable, using sqlite database") + # Originally, we used sqlite:///./langflow.db + # so we need to migrate to the new format + # if there is a database in that location + if not values["CONFIG_DIR"]: + raise ValueError( + "CONFIG_DIR not set, please set it or provide a DATABASE_URL" + ) + + new_path = f"{values['CONFIG_DIR']}/langflow.db" + if Path("./langflow.db").exists(): + if Path(new_path).exists(): + logger.debug(f"Database already exists at {new_path}, using it") + else: + try: + logger.debug("Copying existing database to new location") + copy2("./langflow.db", new_path) + logger.debug(f"Copied existing database to {new_path}") + except Exception: + logger.error("Failed to copy database, using default path") + new_path = "./langflow.db" + + value = f"sqlite:///{new_path}" + + return value + + @validator("COMPONENTS_PATH", pre=True) + def set_components_path(cls, value): + if os.getenv("LANGFLOW_COMPONENTS_PATH"): + logger.debug("Adding LANGFLOW_COMPONENTS_PATH to components_path") + langflow_component_path = os.getenv("LANGFLOW_COMPONENTS_PATH") + if ( + Path(langflow_component_path).exists() + and langflow_component_path not in value + ): + if isinstance(langflow_component_path, list): + for path in langflow_component_path: + if path not in value: + value.append(path) + logger.debug( + f"Extending {langflow_component_path} to components_path" + ) + elif langflow_component_path not in value: + value.append(langflow_component_path) + logger.debug( + f"Appending {langflow_component_path} to components_path" + ) + + if not value: + value = [BASE_COMPONENTS_PATH] + logger.debug("Setting default components path to components_path") + elif BASE_COMPONENTS_PATH not in value: + value.append(BASE_COMPONENTS_PATH) + logger.debug("Adding default components path to components_path") + + logger.debug(f"Components path: {value}") + return value + + class Config: + validate_assignment = True + extra = "ignore" + env_prefix = "LANGFLOW_" + + @root_validator(allow_reuse=True) + def validate_lists(cls, values): + for key, value in values.items(): + if key != "dev" and not value: + values[key] = [] + return values + + def update_from_yaml(self, file_path: str, dev: bool = False): + new_settings = load_settings_from_yaml(file_path) + self.CHAINS = new_settings.CHAINS or {} + self.AGENTS = new_settings.AGENTS or {} + self.PROMPTS = new_settings.PROMPTS or {} + self.LLMS = new_settings.LLMS or {} + self.TOOLS = new_settings.TOOLS or {} + self.MEMORIES = new_settings.MEMORIES or {} + self.WRAPPERS = new_settings.WRAPPERS or {} + self.TOOLKITS = new_settings.TOOLKITS or {} + self.TEXTSPLITTERS = new_settings.TEXTSPLITTERS or {} + self.UTILITIES = new_settings.UTILITIES or {} + self.EMBEDDINGS = new_settings.EMBEDDINGS or {} + self.VECTORSTORES = new_settings.VECTORSTORES or {} + self.DOCUMENTLOADERS = new_settings.DOCUMENTLOADERS or {} + self.RETRIEVERS = new_settings.RETRIEVERS or {} + self.OUTPUT_PARSERS = new_settings.OUTPUT_PARSERS or {} + self.CUSTOM_COMPONENTS = new_settings.CUSTOM_COMPONENTS or {} + self.COMPONENTS_PATH = new_settings.COMPONENTS_PATH or [] + self.DEV = dev + + def update_settings(self, **kwargs): + logger.debug("Updating settings") + for key, value in kwargs.items(): + # value may contain sensitive information, so we don't want to log it + if not hasattr(self, key): + logger.debug(f"Key {key} not found in settings") + continue + logger.debug(f"Updating {key}") + if isinstance(getattr(self, key), list): + # value might be a '[something]' string + with contextlib.suppress(json.decoder.JSONDecodeError): + value = json.loads(str(value)) + if isinstance(value, list): + for item in value: + if isinstance(item, Path): + item = str(item) + if item not in getattr(self, key): + getattr(self, key).append(item) + logger.debug(f"Extended {key}") + else: + if isinstance(value, Path): + value = str(value) + if value not in getattr(self, key): + getattr(self, key).append(value) + logger.debug(f"Appended {key}") + + else: + setattr(self, key, value) + logger.debug(f"Updated {key}") + logger.debug(f"{key}: {getattr(self, key)}") + + +def save_settings_to_yaml(settings: Settings, file_path: str): + with open(file_path, "w") as f: + settings_dict = settings.dict() + yaml.dump(settings_dict, f) + + +def load_settings_from_yaml(file_path: str) -> Settings: + # Check if a string is a valid path or a file name + if "/" not in file_path: + # Get current path + current_path = os.path.dirname(os.path.abspath(__file__)) + + file_path = os.path.join(current_path, file_path) + + with open(file_path, "r") as f: + settings_dict = yaml.safe_load(f) + settings_dict = {k.upper(): v for k, v in settings_dict.items()} + + for key in settings_dict: + if key not in Settings.__fields__.keys(): + raise KeyError(f"Key {key} not found in settings") + logger.debug(f"Loading {len(settings_dict[key])} {key} from {file_path}") + + return Settings(**settings_dict) diff --git a/src/backend/langflow/services/settings/factory.py b/src/backend/langflow/services/settings/factory.py new file mode 100644 index 000000000..ab22e22b8 --- /dev/null +++ b/src/backend/langflow/services/settings/factory.py @@ -0,0 +1,15 @@ +from pathlib import Path +from langflow.services.settings.manager import SettingsManager +from langflow.services.factory import ServiceFactory + + +class SettingsManagerFactory(ServiceFactory): + def __init__(self): + super().__init__(SettingsManager) + + def create(self): + # Here you would have logic to create and configure a SettingsManager + langflow_dir = Path(__file__).parent.parent.parent + return SettingsManager.load_settings_from_yaml( + str(langflow_dir / "config.yaml") + ) diff --git a/src/backend/langflow/services/settings/manager.py b/src/backend/langflow/services/settings/manager.py new file mode 100644 index 000000000..a357c4804 --- /dev/null +++ b/src/backend/langflow/services/settings/manager.py @@ -0,0 +1,36 @@ +from langflow.services.base import Service +from langflow.services.settings.base import Settings +from langflow.utils.logger import logger +import os +import yaml + + +class SettingsManager(Service): + name = "settings_manager" + + def __init__(self, settings: Settings): + super().__init__() + self.settings = settings + + @classmethod + def load_settings_from_yaml(cls, file_path: str) -> "SettingsManager": + # Check if a string is a valid path or a file name + if "/" not in file_path: + # Get current path + current_path = os.path.dirname(os.path.abspath(__file__)) + + file_path = os.path.join(current_path, file_path) + + with open(file_path, "r") as f: + settings_dict = yaml.safe_load(f) + settings_dict = {k.upper(): v for k, v in settings_dict.items()} + + for key in settings_dict: + if key not in Settings.__fields__.keys(): + raise KeyError(f"Key {key} not found in settings") + logger.debug( + f"Loading {len(settings_dict[key])} {key} from {file_path}" + ) + + settings = Settings(**settings_dict) + return cls(settings) diff --git a/src/backend/langflow/services/utils.py b/src/backend/langflow/services/utils.py new file mode 100644 index 000000000..049e82c0f --- /dev/null +++ b/src/backend/langflow/services/utils.py @@ -0,0 +1,18 @@ +from langflow.services import ServiceType, service_manager +from typing import TYPE_CHECKING + +if TYPE_CHECKING: + from langflow.services.settings.manager import SettingsManager + + +def get_settings_manager() -> "SettingsManager": + return service_manager.get(ServiceType.SETTINGS_MANAGER) + + +def get_db_manager(): + return service_manager.get(ServiceType.DATABASE_MANAGER) + + +def get_session(): + db_manager = service_manager.get(ServiceType.DATABASE_MANAGER) + yield from db_manager.get_session() diff --git a/src/backend/langflow/settings.py b/src/backend/langflow/settings.py deleted file mode 100644 index 08400a811..000000000 --- a/src/backend/langflow/settings.py +++ /dev/null @@ -1,130 +0,0 @@ -import os -from typing import Optional, List -from pathlib import Path - -import yaml -from pydantic import BaseSettings, root_validator -from langflow.utils.logger import logger - -BASE_COMPONENTS_PATH = Path(__file__).parent / "components" - - -class Settings(BaseSettings): - chains: dict = {} - agents: dict = {} - prompts: dict = {} - llms: dict = {} - tools: dict = {} - memories: dict = {} - embeddings: dict = {} - vectorstores: dict = {} - documentloaders: dict = {} - wrappers: dict = {} - retrievers: dict = {} - toolkits: dict = {} - textsplitters: dict = {} - utilities: dict = {} - output_parsers: dict = {} - custom_components: dict = {} - - dev: bool = False - database_url: Optional[str] = None - cache: str = "InMemoryCache" - remove_api_keys: bool = False - components_path: List[Path] - - @root_validator(pre=True) - def set_env_variables(cls, values): - if "database_url" not in values: - logger.debug( - "No database_url provided, trying LANGFLOW_DATABASE_URL env variable" - ) - if langflow_database_url := os.getenv("LANGFLOW_DATABASE_URL"): - values["database_url"] = langflow_database_url - else: - logger.debug("No DATABASE_URL env variable, using sqlite database") - values["database_url"] = "sqlite:///./langflow.db" - - if not values.get("components_path"): - values["components_path"] = [BASE_COMPONENTS_PATH] - logger.debug("No components_path provided, using default components path") - elif BASE_COMPONENTS_PATH not in values["components_path"]: - values["components_path"].append(BASE_COMPONENTS_PATH) - logger.debug("Adding default components path to components_path") - - if os.getenv("LANGFLOW_COMPONENTS_PATH"): - logger.debug("Adding LANGFLOW_COMPONENTS_PATH to components_path") - langflow_component_path = Path(os.getenv("LANGFLOW_COMPONENTS_PATH")) - if ( - langflow_component_path.exists() - and langflow_component_path not in values["components_path"] - ): - values["components_path"].append(langflow_component_path) - logger.debug(f"Adding {langflow_component_path} to components_path") - return values - - class Config: - validate_assignment = True - extra = "ignore" - - @root_validator(allow_reuse=True) - def validate_lists(cls, values): - for key, value in values.items(): - if key != "dev" and not value: - values[key] = [] - return values - - def update_from_yaml(self, file_path: str, dev: bool = False): - new_settings = load_settings_from_yaml(file_path) - self.chains = new_settings.chains or {} - self.agents = new_settings.agents or {} - self.prompts = new_settings.prompts or {} - self.llms = new_settings.llms or {} - self.tools = new_settings.tools or {} - self.memories = new_settings.memories or {} - self.wrappers = new_settings.wrappers or {} - self.toolkits = new_settings.toolkits or {} - self.textsplitters = new_settings.textsplitters or {} - self.utilities = new_settings.utilities or {} - self.embeddings = new_settings.embeddings or {} - self.vectorstores = new_settings.vectorstores or {} - self.documentloaders = new_settings.documentloaders or {} - self.retrievers = new_settings.retrievers or {} - self.output_parsers = new_settings.output_parsers or {} - self.custom_components = new_settings.custom_components or {} - self.components_path = new_settings.components_path or [] - self.dev = dev - - def update_settings(self, **kwargs): - for key, value in kwargs.items(): - if hasattr(self, key): - if isinstance(getattr(self, key), list): - if isinstance(value, list): - getattr(self, key).extend(value) - else: - getattr(self, key).append(value) - else: - setattr(self, key, value) - - -def save_settings_to_yaml(settings: Settings, file_path: str): - with open(file_path, "w") as f: - settings_dict = settings.dict() - yaml.dump(settings_dict, f) - - -def load_settings_from_yaml(file_path: str) -> Settings: - # Check if a string is a valid path or a file name - if "/" not in file_path: - # Get current path - current_path = os.path.dirname(os.path.abspath(__file__)) - - file_path = os.path.join(current_path, file_path) - - with open(file_path, "r") as f: - settings_dict = yaml.safe_load(f) - - return Settings(**settings_dict) - - -settings = load_settings_from_yaml("config.yaml") diff --git a/src/backend/langflow/template/frontend_node/documentloaders.py b/src/backend/langflow/template/frontend_node/documentloaders.py index bb78d8855..cdf67e54a 100644 --- a/src/backend/langflow/template/frontend_node/documentloaders.py +++ b/src/backend/langflow/template/frontend_node/documentloaders.py @@ -30,7 +30,6 @@ class DocumentLoaderFrontNode(FrontendNode): "UnstructuredEmailLoader": build_file_field( suffixes=[".eml"], fileTypes=["eml"] ), - "SlackDirectoryLoader": build_file_field(suffixes=[".zip"], fileTypes=["zip"]), "EverNoteLoader": build_file_field(suffixes=[".xml"], fileTypes=["xml"]), "FacebookChatLoader": build_file_field(suffixes=[".json"], fileTypes=["json"]), "BSHTMLLoader": build_file_field(suffixes=[".html"], fileTypes=["html"]), @@ -105,7 +104,30 @@ class DocumentLoaderFrontNode(FrontendNode): advanced=False, ) ) - + elif self.template.type_name in {"SlackDirectoryLoader"}: + self.template.add_field( + TemplateField( + field_type="file", + required=True, + show=True, + name="zip_path", + value="", + display_name="Path to zip file", + suffixes=[".zip"], + file_types=["zip"], + ) + ) + self.template.add_field( + TemplateField( + field_type="str", + required=False, + show=True, + name="workspace_url", + value="", + display_name="Workspace URL", + advanced=False, + ) + ) elif self.template.type_name in self.file_path_templates: self.template.add_field(self.file_path_templates[self.template.type_name]) elif self.template.type_name in { diff --git a/src/backend/langflow/template/frontend_node/embeddings.py b/src/backend/langflow/template/frontend_node/embeddings.py index d466b11a4..4e7e25112 100644 --- a/src/backend/langflow/template/frontend_node/embeddings.py +++ b/src/backend/langflow/template/frontend_node/embeddings.py @@ -5,6 +5,47 @@ from langflow.template.frontend_node.base import FrontendNode class EmbeddingFrontendNode(FrontendNode): + def add_extra_fields(self) -> None: + if "VertexAI" in self.template.type_name: + # Add credentials field which should of type file. + self.template.add_field( + TemplateField( + field_type="file", + required=False, + show=True, + name="credentials", + value="", + suffixes=[".json"], + file_types=["json"], + ) + ) + + @staticmethod + def format_vertex_field(field: TemplateField, name: str): + if "VertexAI" in name: + advanced_fields = [ + "verbose", + "top_p", + "top_k", + "max_output_tokens", + ] + if field.name in advanced_fields: + field.advanced = True + show_fields = [ + "verbose", + "project", + "location", + "credentials", + "max_output_tokens", + "model_name", + "temperature", + "top_p", + "top_k", + ] + + if field.name in show_fields: + field.show = True + @staticmethod def format_jina_fields(field: TemplateField): if "jina" in field.name: @@ -41,10 +82,36 @@ class EmbeddingFrontendNode(FrontendNode): @staticmethod def format_field(field: TemplateField, name: Optional[str] = None) -> None: FrontendNode.format_field(field, name) + if name and "vertex" in name.lower(): + EmbeddingFrontendNode.format_vertex_field(field, name) field.advanced = not field.required field.show = True if field.name == "headers": field.show = False + if field.name == "model_kwargs": + field.field_type = "code" + field.advanced = True + field.show = True + elif field.name in [ + "model_name", + "temperature", + "model_file", + "model_type", + "deployment_name", + "credentials", + ]: + field.advanced = False + field.show = True + if field.name == "credentials": + field.field_type = "file" + if name == "VertexAI" and field.name not in [ + "callbacks", + "client", + "stop", + "tags", + "cache", + ]: + field.show = True # Format Jina fields EmbeddingFrontendNode.format_jina_fields(field) diff --git a/src/backend/langflow/template/frontend_node/utilities.py b/src/backend/langflow/template/frontend_node/utilities.py index 615d7d12f..df993e377 100644 --- a/src/backend/langflow/template/frontend_node/utilities.py +++ b/src/backend/langflow/template/frontend_node/utilities.py @@ -12,8 +12,11 @@ class UtilitiesFrontendNode(FrontendNode): FrontendNode.format_field(field, name) # field.field_type could be "Literal['news', 'search', 'places', 'images'] # we need to convert it to a list + # It seems it could also be like "typing_extensions.['news', 'search', 'places', 'images']" if "Literal" in field.field_type: - field.options = ast.literal_eval(field.field_type.replace("Literal", "")) + field_type = field.field_type.replace("typing_extensions.", "") + field_type = field_type.replace("Literal", "") + field.options = ast.literal_eval(field_type) field.is_list = True field.field_type = "str" diff --git a/src/backend/langflow/template/frontend_node/vectorstores.py b/src/backend/langflow/template/frontend_node/vectorstores.py index 53a840b80..23c293437 100644 --- a/src/backend/langflow/template/frontend_node/vectorstores.py +++ b/src/backend/langflow/template/frontend_node/vectorstores.py @@ -4,6 +4,52 @@ from langflow.template.field.base import TemplateField from langflow.template.frontend_node.base import FrontendNode +BASIC_FIELDS = [ + "work_dir", + "collection_name", + "api_key", + "location", + "persist_directory", + "persist", + "weaviate_url", + "index_name", + "namespace", + "folder_path", + "table_name", + "query_name", + "supabase_url", + "supabase_service_key", + "mongodb_atlas_cluster_uri", + "collection_name", + "db_name", +] +ADVANCED_FIELDS = [ + "n_dim", + "key", + "prefix", + "distance_func", + "content_payload_key", + "metadata_payload_key", + "timeout", + "host", + "path", + "url", + "port", + "https", + "prefer_grpc", + "grpc_port", + "pinecone_api_key", + "pinecone_env", + "client_kwargs", + "search_kwargs", + "chroma_server_host", + "chroma_server_http_port", + "chroma_server_ssl_enabled", + "chroma_server_grpc_port", + "chroma_server_cors_allow_origins", +] + + class VectorStoreFrontendNode(FrontendNode): def add_extra_fields(self) -> None: extra_fields: List[TemplateField] = [] @@ -45,16 +91,62 @@ class VectorStoreFrontendNode(FrontendNode): elif self.template.type_name == "Chroma": # New bool field for persist parameter - extra_field = TemplateField( - name="persist", - field_type="bool", - required=False, - show=True, - advanced=False, - value=False, - display_name="Persist", - ) - extra_fields.append(extra_field) + chroma_fields = [ + TemplateField( + name="persist", + field_type="bool", + required=False, + show=True, + advanced=False, + value=False, + display_name="Persist", + ), + # chroma_server_grpc_port: str | None = None, + TemplateField( + name="chroma_server_host", + field_type="str", + required=False, + show=True, + advanced=True, + display_name="Chroma Server Host", + ), + TemplateField( + name="chroma_server_http_port", + field_type="str", + required=False, + show=True, + advanced=True, + display_name="Chroma Server HTTP Port", + ), + TemplateField( + name="chroma_server_ssl_enabled", + field_type="bool", + required=False, + show=True, + advanced=True, + value=False, + display_name="Chroma Server SSL Enabled", + ), + TemplateField( + name="chroma_server_grpc_port", + field_type="str", + required=False, + show=True, + advanced=True, + display_name="Chroma Server GRPC Port", + ), + TemplateField( + name="chroma_server_cors_allow_origins", + field_type="str", + required=False, + is_list=True, + show=True, + advanced=True, + display_name="Chroma Server CORS Allow Origins", + ), + ] + + extra_fields.extend(chroma_fields) elif self.template.type_name == "Pinecone": # add pinecone_api_key and pinecone_env extra_field = TemplateField( @@ -208,45 +300,6 @@ class VectorStoreFrontendNode(FrontendNode): def format_field(field: TemplateField, name: Optional[str] = None) -> None: FrontendNode.format_field(field, name) # Define common field attributes - basic_fields = [ - "work_dir", - "collection_name", - "api_key", - "location", - "persist_directory", - "persist", - "weaviate_url", - "index_name", - "namespace", - "folder_path", - "table_name", - "query_name", - "supabase_url", - "supabase_service_key", - "mongodb_atlas_cluster_uri", - "collection_name", - "db_name", - ] - advanced_fields = [ - "n_dim", - "key", - "prefix", - "distance_func", - "content_payload_key", - "metadata_payload_key", - "timeout", - "host", - "path", - "url", - "port", - "https", - "prefer_grpc", - "grpc_port", - "pinecone_api_key", - "pinecone_env", - "client_kwargs", - "search_kwargs", - ] # Check and set field attributes if field.name == "texts": @@ -269,7 +322,7 @@ class VectorStoreFrontendNode(FrontendNode): field.display_name = "Embedding" field.field_type = "Embeddings" - elif field.name in basic_fields: + elif field.name in BASIC_FIELDS: field.show = True field.advanced = False if field.name == "api_key": @@ -279,7 +332,7 @@ class VectorStoreFrontendNode(FrontendNode): field.value = ":memory:" field.placeholder = ":memory:" - elif field.name in advanced_fields: + elif field.name in ADVANCED_FIELDS: field.show = True field.advanced = True if "key" in field.name: diff --git a/src/backend/langflow/utils/lazy_load.py b/src/backend/langflow/utils/lazy_load.py new file mode 100644 index 000000000..df0130acc --- /dev/null +++ b/src/backend/langflow/utils/lazy_load.py @@ -0,0 +1,15 @@ +class LazyLoadDictBase: + def __init__(self): + self._all_types_dict = None + + @property + def all_types_dict(self): + if self._all_types_dict is None: + self._all_types_dict = self._build_dict() + return self._all_types_dict + + def _build_dict(self): + raise NotImplementedError + + def get_type_dict(self): + raise NotImplementedError diff --git a/src/frontend/.dockerignore b/src/frontend/.dockerignore new file mode 100644 index 000000000..ca5762007 --- /dev/null +++ b/src/frontend/.dockerignore @@ -0,0 +1,2 @@ +**/node_modules +**/build \ No newline at end of file diff --git a/src/frontend/package-lock.json b/src/frontend/package-lock.json index ed3eacd4f..f0a1ff7ee 100644 --- a/src/frontend/package-lock.json +++ b/src/frontend/package-lock.json @@ -1,7 +1,7 @@ { "name": "langflow", "version": "0.1.2", - "lockfileVersion": 3, + "lockfileVersion": 2, "requires": true, "packages": { "": { @@ -17,11 +17,13 @@ "@radix-ui/react-checkbox": "^1.0.4", "@radix-ui/react-dialog": "^1.0.4", "@radix-ui/react-dropdown-menu": "^2.0.5", + "@radix-ui/react-form": "^0.0.3", "@radix-ui/react-icons": "^1.3.0", "@radix-ui/react-label": "^2.0.2", "@radix-ui/react-menubar": "^1.0.3", "@radix-ui/react-popover": "^1.0.6", "@radix-ui/react-progress": "^1.0.3", + "@radix-ui/react-select": "^1.2.2", "@radix-ui/react-separator": "^1.0.3", "@radix-ui/react-slot": "^1.0.2", "@radix-ui/react-switch": "^1.0.3", @@ -95,13 +97,15 @@ } }, "node_modules/@adobe/css-tools": { - "version": "4.2.0", - "dev": true, - "license": "MIT" + "version": "4.3.1", + "resolved": "https://registry.npmjs.org/@adobe/css-tools/-/css-tools-4.3.1.tgz", + "integrity": "sha512-/62yikz7NLScCGAAST5SHdnjaDJQBDq0M2muyRTpf2VQhw6StBg2ALiu73zSJQ4fMVLA+0uBhBHAle7Wg+2kSg==", + "dev": true }, "node_modules/@alloc/quick-lru": { "version": "5.2.0", - "license": "MIT", + "resolved": "https://registry.npmjs.org/@alloc/quick-lru/-/quick-lru-5.2.0.tgz", + "integrity": "sha512-UrcABB+4bUrFABwbluTIBErXwvbsU/V7TZWfmbgJfbkwiBuziS9gxdODUyuiecfdGQ85jglMW6juS3+z5TsKLw==", "engines": { "node": ">=10" }, @@ -111,7 +115,8 @@ }, "node_modules/@ampproject/remapping": { "version": "2.2.1", - "license": "Apache-2.0", + "resolved": "https://registry.npmjs.org/@ampproject/remapping/-/remapping-2.2.1.tgz", + "integrity": "sha512-lFMjJTrFL3j7L9yBxwYfCq2k6qqwHyzuUl/XBnif78PWTJYyL/dfowQHWE3sp6U6ZzqWiiIZnpTMO96zhkjwtg==", "dependencies": { "@jridgewell/gen-mapping": "^0.3.0", "@jridgewell/trace-mapping": "^0.3.9" @@ -121,8 +126,9 @@ } }, "node_modules/@antfu/ni": { - "version": "0.21.4", - "license": 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"sha512-bXE4cR/kVZhKZX/RjPEflHaKVhUVl85noU3v6b8apfQEc1x4A+zBxjZ4lN8LqGd6WZ3dl98pY4o717VFmoPp+A==" + } } } diff --git a/src/frontend/package.json b/src/frontend/package.json index e3814c1ad..65b5acb6c 100644 --- a/src/frontend/package.json +++ b/src/frontend/package.json @@ -12,11 +12,13 @@ "@radix-ui/react-checkbox": "^1.0.4", "@radix-ui/react-dialog": "^1.0.4", "@radix-ui/react-dropdown-menu": "^2.0.5", + "@radix-ui/react-form": "^0.0.3", "@radix-ui/react-icons": "^1.3.0", "@radix-ui/react-label": "^2.0.2", "@radix-ui/react-menubar": "^1.0.3", "@radix-ui/react-popover": "^1.0.6", "@radix-ui/react-progress": "^1.0.3", + "@radix-ui/react-select": "^1.2.2", "@radix-ui/react-separator": "^1.0.3", "@radix-ui/react-slot": "^1.0.2", "@radix-ui/react-switch": "^1.0.3", @@ -69,7 +71,8 @@ "start": "vite", "build": "vite build", "serve": "vite preview", - "format": "npx prettier --write \"**/*.{js,jsx,ts,tsx,json,md}\"" + "format": "npx prettier --write \"**/*.{js,jsx,ts,tsx,json,md}\"", + "type-check": "tsc --noEmit --pretty --project tsconfig.json && vite" }, "eslintConfig": { "extends": [ diff --git a/src/frontend/src/App.tsx b/src/frontend/src/App.tsx index 0088081ae..467e15ed8 100644 --- a/src/frontend/src/App.tsx +++ b/src/frontend/src/App.tsx @@ -9,7 +9,7 @@ import ErrorAlert from "./alerts/error"; import NoticeAlert from "./alerts/notice"; import SuccessAlert from "./alerts/success"; import CrashErrorComponent from "./components/CrashErrorComponent"; -import Header from "./components/headerComponent"; +import LoadingComponent from "./components/loadingComponent"; import { alertContext } from "./contexts/alertContext"; import { locationContext } from "./contexts/locationContext"; import { TabsContext } from "./contexts/tabsContext"; @@ -25,6 +25,7 @@ export default function App() { setIsStackedOpen(true); }, [location.pathname, setCurrent, setIsStackedOpen, setShowSideBar]); const { hardReset } = useContext(TabsContext); + const { errorData, errorOpen, @@ -35,6 +36,7 @@ export default function App() { successData, successOpen, setSuccessOpen, + loading, } = useContext(alertContext); // Initialize state variable for the list of alerts @@ -133,8 +135,15 @@ export default function App() { }} FallbackComponent={CrashErrorComponent} > -
- + {loading ? ( +
+ +
+ ) : ( + <> + + + )}
diff --git a/src/frontend/src/CustomNodes/GenericNode/components/parameterComponent/index.tsx b/src/frontend/src/CustomNodes/GenericNode/components/parameterComponent/index.tsx index a2cecddc2..3ea2c89e8 100644 --- a/src/frontend/src/CustomNodes/GenericNode/components/parameterComponent/index.tsx +++ b/src/frontend/src/CustomNodes/GenericNode/components/parameterComponent/index.tsx @@ -1,5 +1,11 @@ import { cloneDeep } from "lodash"; -import React, { useContext, useEffect, useRef, useState } from "react"; +import React, { + ReactNode, + useContext, + useEffect, + useRef, + useState, +} from "react"; import { Handle, Position, useUpdateNodeInternals } from "reactflow"; import ShadTooltip from "../../../../components/ShadTooltipComponent"; import CodeAreaComponent from "../../../../components/codeAreaComponent"; @@ -17,6 +23,7 @@ import { TOOLTIP_EMPTY } from "../../../../constants/constants"; import { TabsContext } from "../../../../contexts/tabsContext"; import { typesContext } from "../../../../contexts/typesContext"; import { ParameterComponentType } from "../../../../types/components"; +import { TabsState } from "../../../../types/tabs"; import { isValidConnection, scapedJSONStringfy, @@ -41,15 +48,15 @@ export default function ParameterComponent({ required = false, optionalHandle = null, info = "", -}: ParameterComponentType) { - const ref = useRef(null); - const refHtml = useRef(null); - const infoHtml = useRef(null); +}: ParameterComponentType): JSX.Element { + const ref = useRef(null); + const refHtml = useRef(null); + const infoHtml = useRef(null); const updateNodeInternals = useUpdateNodeInternals(); const [position, setPosition] = useState(0); const { setTabsState, tabId, save, flows } = useContext(TabsContext); - const flow = flows.find((f) => f.id === tabId).data?.nodes ?? null; + const flow = flows.find((flow) => flow.id === tabId)?.data?.nodes ?? null; // Update component position useEffect(() => { @@ -67,16 +74,17 @@ export default function ParameterComponent({ let disabled = reactFlowInstance ?.getEdges() - .some((e) => e.targetHandle === scapedJSONStringfy(id)) ?? false; + .some((edge) => edge.targetHandle === scapedJSONStringfy(id)) ?? false; const { data: myData } = useContext(typesContext); - const handleOnNewValue = (newValue: any) => { + const handleOnNewValue = (newValue: string | string[] | boolean): void => { let newData = cloneDeep(data); - newData.node.template[name].value = newValue; + newData.node!.template[name].value = newValue; setData(newData); // Set state to pending - setTabsState((prev) => { + //@ts-ignore + setTabsState((prev: TabsState) => { return { ...prev, [tabId]: { @@ -91,10 +99,11 @@ export default function ParameterComponent({ useEffect(() => { if (name === "openai_api_base") console.log(info); + // @ts-ignore infoHtml.current = (
- {info.split("\n").map((line, i) => ( -

+ {info.split("\n").map((line, index) => ( +

{line}

))} @@ -103,18 +112,20 @@ export default function ParameterComponent({ }, [info]); function renderTooltips() { - let groupedObj = groupByFamily(myData, tooltipTitle, left, flow); + let groupedObj = groupByFamily(myData, tooltipTitle!, left, flow!); if (groupedObj && groupedObj.length > 0) { - refHtml.current = groupedObj.map((item, i) => { + //@ts-ignore + //@ts-ignore + refHtml.current = groupedObj.map((item, index) => { const Icon: any = nodeIconsLucide[item.family] ?? nodeIconsLucide["unknown"]; return ( 0 ? "mt-2 flex items-center" : "flex items-center" + index > 0 ? "mt-2 flex items-center" : "flex items-center" )} >
2 - ? item.type.split(", ").map((el, i) => ( - + ? item.type.split(", ").map((el, index) => ( + - {i === item.type.split(", ").length - 1 + {index === item.type.split(", ").length - 1 ? el : (el += `, `)} @@ -153,6 +164,7 @@ export default function ParameterComponent({ ); }); } else { + //@ts-ignore refHtml.current = {TOOLTIP_EMPTY}; } } @@ -212,7 +224,7 @@ export default function ParameterComponent({ position={left ? Position.Left : Position.Right} id={scapedJSONStringfy(id)} isValidConnection={(connection) => - isValidConnection(connection, reactFlowInstance) + isValidConnection(connection, reactFlowInstance!) } className={classNames( left ? "-ml-0.5 " : "-mr-0.5 ", @@ -228,9 +240,9 @@ export default function ParameterComponent({ {left === true && type === "str" && - !data.node.template[name].options ? ( + !data.node?.template[name].options ? (
- {data.node.template[name].list ? ( + {data.node?.template[name].list ? ( - ) : data.node.template[name].multiline ? ( + ) : data.node?.template[name].multiline ? ( )} @@ -260,9 +272,9 @@ export default function ParameterComponent({
{ - handleOnNewValue(t); + enabled={data.node?.template[name].value ?? false} + setEnabled={(isEnabled) => { + handleOnNewValue(isEnabled); }} size="large" /> @@ -271,13 +283,13 @@ export default function ParameterComponent({
) : left === true && type === "str" && - data.node.template[name].options ? ( + data.node?.template[name].options ? (
{ data.node = nodeClass; }} nodeClass={data.node} disabled={disabled} - value={data.node.template[name].value ?? ""} + value={data.node?.template[name].value ?? ""} onChange={handleOnNewValue} />
@@ -302,12 +314,12 @@ export default function ParameterComponent({
{ - data.node.template[name].file_path = t; + fileTypes={data.node?.template[name].fileTypes} + suffixes={data.node?.template[name].suffixes} + onFileChange={(filePath: string) => { + data.node!.template[name].file_path = filePath; save(); }} > @@ -316,7 +328,7 @@ export default function ParameterComponent({
@@ -329,7 +341,7 @@ export default function ParameterComponent({ }} nodeClass={data.node} disabled={disabled} - value={data.node.template[name].value ?? ""} + value={data.node?.template[name].value ?? ""} onChange={handleOnNewValue} />
diff --git a/src/frontend/src/CustomNodes/GenericNode/index.tsx b/src/frontend/src/CustomNodes/GenericNode/index.tsx index 4244f84e8..50a275980 100644 --- a/src/frontend/src/CustomNodes/GenericNode/index.tsx +++ b/src/frontend/src/CustomNodes/GenericNode/index.tsx @@ -8,6 +8,7 @@ import { useSSE } from "../../contexts/SSEContext"; import { TabsContext } from "../../contexts/tabsContext"; import { typesContext } from "../../contexts/typesContext"; import NodeToolbarComponent from "../../pages/FlowPage/components/nodeToolbarComponent"; +import { validationStatusType } from "../../types/components"; import { NodeDataType } from "../../types/flow"; import { cleanEdges, scapedJSONStringfy } from "../../utils/reactflowUtils"; import { nodeColors, nodeIconsLucide } from "../../utils/styleUtils"; @@ -20,13 +21,14 @@ export default function GenericNode({ }: { data: NodeDataType; selected: boolean; -}) { +}): JSX.Element { const [data, setData] = useState(olddata); const { updateFlow, flows, tabId } = useContext(TabsContext); const updateNodeInternals = useUpdateNodeInternals(); const { types, deleteNode, reactFlowInstance } = useContext(typesContext); const name = nodeIconsLucide[data.type] ? data.type : types[data.type]; - const [validationStatus, setValidationStatus] = useState(null); + const [validationStatus, setValidationStatus] = + useState(null); // State for outline color const { sseData, isBuilding } = useSSE(); useEffect(() => { @@ -41,7 +43,7 @@ export default function GenericNode({ nodes: flow.data.nodes, }, updateEdge: (edge) => { - flow.data.edges = edge; + flow.data!.edges = edge; reactFlowInstance.setEdges(edge); updateNodeInternals(data.id); }, @@ -77,7 +79,7 @@ export default function GenericNode({ "generic-node-div" )} > - {data.node.beta && ( + {data.node?.beta && (
BETA
@@ -90,9 +92,9 @@ export default function GenericNode({ iconColor={`${nodeColors[types[data.type]]}`} />
- +
- {data.node.display_name} + {data.node?.display_name}
@@ -117,7 +119,9 @@ export default function GenericNode({ {typeof validationStatus.params === "string" ? validationStatus.params .split("\n") - .map((line, index) =>
{line}
) + .map((line: string, index: number) => ( +
{line}
+ )) : ""}
) @@ -155,52 +159,59 @@ export default function GenericNode({
-
{data.node.description}
+
{data.node?.description}
<> - {Object.keys(data.node.template) - .filter((t) => t.charAt(0) !== "_") - .map((t: string, idx) => ( + {Object.keys(data.node!.template) + .filter((templateField) => templateField.charAt(0) !== "_") + .map((templateField: string, idx) => (
- {data.node.template[t].show && - !data.node.template[t].advanced ? ( + {data.node!.template[templateField].show && + !data.node!.template[templateField].advanced ? ( ) : ( <> @@ -209,7 +220,7 @@ export default function GenericNode({ ))}
@@ -217,7 +228,7 @@ export default function GenericNode({
0 + data.node?.output_types && data.node.output_types.length > 0 ? data.node.output_types.join("|") : data.type } - tooltipTitle={data.node.base_classes.join("\n")} + tooltipTitle={data.node?.base_classes.join("\n")} id={{ - baseClasses: data.node.base_classes, + baseClasses: data.node!.base_classes, id: data.id, dataType: data.type, }} - type={data.node.base_classes.join("|")} + type={data.node?.base_classes.join("|")} left={false} /> diff --git a/src/frontend/src/alerts/alertDropDown/components/singleAlertComponent/index.tsx b/src/frontend/src/alerts/alertDropDown/components/singleAlertComponent/index.tsx index 9a94db7d5..1d74f11a0 100644 --- a/src/frontend/src/alerts/alertDropDown/components/singleAlertComponent/index.tsx +++ b/src/frontend/src/alerts/alertDropDown/components/singleAlertComponent/index.tsx @@ -7,7 +7,7 @@ import { SingleAlertComponentType } from "../../../../types/alerts"; export default function SingleAlert({ dropItem, removeAlert, -}: SingleAlertComponentType) { +}: SingleAlertComponentType): JSX.Element { const [show, setShow] = useState(true); const type = dropItem.type; @@ -36,14 +36,14 @@ export default function SingleAlert({ />
-

+

{dropItem.title}

{dropItem.list ? (
    {dropItem.list.map((item, idx) => ( -
  • +
  • {item}
    • ))} diff --git a/src/frontend/src/alerts/alertDropDown/index.tsx b/src/frontend/src/alerts/alertDropDown/index.tsx index 90838d693..4bd7486bd 100644 --- a/src/frontend/src/alerts/alertDropDown/index.tsx +++ b/src/frontend/src/alerts/alertDropDown/index.tsx @@ -9,7 +9,9 @@ import { alertContext } from "../../contexts/alertContext"; import { AlertDropdownType } from "../../types/alerts"; import SingleAlert from "./components/singleAlertComponent"; -export default function AlertDropdown({ children }: AlertDropdownType) { +export default function AlertDropdown({ + children, +}: AlertDropdownType): JSX.Element { const { notificationList, clearNotificationList, @@ -22,9 +24,9 @@ export default function AlertDropdown({ children }: AlertDropdownType) { return ( { - setOpen(k); - if (k) setNotificationCenter(false); + onOpenChange={(target) => { + setOpen(target); + if (target) setNotificationCenter(false); }} > {children} diff --git a/src/frontend/src/alerts/error/index.tsx b/src/frontend/src/alerts/error/index.tsx index 2b898f58a..eb626df2f 100644 --- a/src/frontend/src/alerts/error/index.tsx +++ b/src/frontend/src/alerts/error/index.tsx @@ -8,7 +8,7 @@ export default function ErrorAlert({ list = [], id, removeAlert, -}: ErrorAlertType) { +}: ErrorAlertType): JSX.Element { const [show, setShow] = useState(true); useEffect(() => { if (show) { diff --git a/src/frontend/src/alerts/hooks/useOnClickOutside/index.ts b/src/frontend/src/alerts/hooks/useOnClickOutside/index.ts index 249133d96..e11fd6cd5 100644 --- a/src/frontend/src/alerts/hooks/useOnClickOutside/index.ts +++ b/src/frontend/src/alerts/hooks/useOnClickOutside/index.ts @@ -2,7 +2,7 @@ import { useEffect } from "react"; export function useOnClickOutside(ref, handler) { useEffect(() => { - const listener = (event) => { + const listener = (event: Event) => { // Do nothing if clicking ref's element or its children if (!ref.current || ref.current.contains(event.target)) { return; diff --git a/src/frontend/src/alerts/notice/index.tsx b/src/frontend/src/alerts/notice/index.tsx index 494d9d4dc..624535ce1 100644 --- a/src/frontend/src/alerts/notice/index.tsx +++ b/src/frontend/src/alerts/notice/index.tsx @@ -9,7 +9,7 @@ export default function NoticeAlert({ link = "", id, removeAlert, -}: NoticeAlertType) { +}: NoticeAlertType): JSX.Element { const [show, setShow] = useState(true); useEffect(() => { if (show) { @@ -47,7 +47,9 @@ export default function NoticeAlert({ />
-

{title}

+

+ {title} +

{link !== "" ? ( { if (show) { diff --git a/src/frontend/src/components/AccordionComponent/index.tsx b/src/frontend/src/components/AccordionComponent/index.tsx index 7212e6a1b..e19bd3d29 100644 --- a/src/frontend/src/components/AccordionComponent/index.tsx +++ b/src/frontend/src/components/AccordionComponent/index.tsx @@ -12,12 +12,12 @@ export default function AccordionComponent({ children, open = [], keyValue, -}: AccordionComponentType) { +}: AccordionComponentType): JSX.Element { const [value, setValue] = useState( open.length === 0 ? "" : getOpenAccordion() ); - function getOpenAccordion() { + function getOpenAccordion(): string { let value = ""; open.forEach((el) => { if (el == trigger) { @@ -28,10 +28,17 @@ export default function AccordionComponent({ return value; } - function handleClick() { - value === "" ? setValue(keyValue) : setValue(""); + function handleClick(): void { + value === "" ? setValue(keyValue!) : setValue(""); } + const handleKeyDown = (event) => { + if (event.key === "Backspace") { + event.preventDefault(); + event.stopPropagation(); + } + }; + return ( <> - + { handleClick(); diff --git a/src/frontend/src/components/CrashErrorComponent/index.tsx b/src/frontend/src/components/CrashErrorComponent/index.tsx index fd7d22c36..f5018f885 100644 --- a/src/frontend/src/components/CrashErrorComponent/index.tsx +++ b/src/frontend/src/components/CrashErrorComponent/index.tsx @@ -1,4 +1,9 @@ -export default function CrashErrorComponent({ error, resetErrorBoundary }) { +import { crashComponentPropsType } from "../../types/components"; + +export default function CrashErrorComponent({ + error, + resetErrorBoundary, +}: crashComponentPropsType): JSX.Element { return (

diff --git a/src/frontend/src/components/EditFlowSettingsComponent/index.tsx b/src/frontend/src/components/EditFlowSettingsComponent/index.tsx index 6504c2b4e..77fd64819 100644 --- a/src/frontend/src/components/EditFlowSettingsComponent/index.tsx +++ b/src/frontend/src/components/EditFlowSettingsComponent/index.tsx @@ -3,19 +3,8 @@ import { Input } from "../../components/ui/input"; import { Label } from "../../components/ui/label"; import { Textarea } from "../../components/ui/textarea"; import { readFlowsFromDatabase } from "../../controllers/API"; - -type InputProps = { - name: string | null; - description: string | null; - maxLength?: number; - flows: Array<{ id: string; name: string; description: string }>; - tabId: string; - invalidName: boolean; - setInvalidName: (invalidName: boolean) => void; - setName: (name: string) => void; - setDescription: (description: string) => void; - updateFlow: (flow: { id: string; name: string }) => void; -}; +import { InputProps } from "../../types/components"; +import { FlowType } from "../../types/flow"; export const EditFlowSettings: React.FC = ({ name, @@ -27,13 +16,12 @@ export const EditFlowSettings: React.FC = ({ tabId, setName, setDescription, - updateFlow, -}) => { +}: InputProps): JSX.Element => { const [isMaxLength, setIsMaxLength] = useState(false); - const nameLists = useRef([]); + const nameLists = useRef([]); useEffect(() => { readFlowsFromDatabase().then((flows) => { - flows.forEach((flow) => { + flows.forEach((flow: FlowType) => { nameLists.current.push(flow.name); }); }); @@ -46,21 +34,34 @@ export const EditFlowSettings: React.FC = ({ } else { setIsMaxLength(false); } + if (invalidName !== undefined) { + if (!nameLists.current.includes(value)) { + setInvalidName(false); + } else { + setInvalidName(true); + } + } if (!nameLists.current.includes(value)) { - setInvalidName(false); + setInvalidName!(false); } else { - setInvalidName(true); + setInvalidName!(true); } setName(value); + setCurrentName(value); }; - const [desc, setDesc] = useState( - flows.find((f) => f.id === tabId).description - ); + const [currentName, setCurrentName] = useState(name); + + const [currentDescription, setCurrentDescription] = useState(description); + + useEffect(() => { + setCurrentName(name); + setCurrentDescription(description); + }, [name, description]); const handleDescriptionChange = (event: ChangeEvent) => { flows.find((f) => f.id === tabId).description = event.target.value; - setDesc(flows.find((f) => f.id === tabId).description); + setCurrentDescription(flows.find((f) => f.id === tabId).description); setDescription(event.target.value); }; @@ -81,7 +82,7 @@ export const EditFlowSettings: React.FC = ({ onChange={handleNameChange} type="text" name="name" - value={name ?? ""} + value={currentName ?? ""} placeholder="File name" id="name" maxLength={maxLength} @@ -96,7 +97,7 @@ export const EditFlowSettings: React.FC = ({ name="description" id="description" onChange={handleDescriptionChange} - value={desc} + value={currentDescription} placeholder="Flow description" className="mt-2 max-h-[100px] font-normal" rows={3} diff --git a/src/frontend/src/components/PaginatorComponent/index.tsx b/src/frontend/src/components/PaginatorComponent/index.tsx new file mode 100644 index 000000000..8fcd8683f --- /dev/null +++ b/src/frontend/src/components/PaginatorComponent/index.tsx @@ -0,0 +1,118 @@ +import { useState } from "react"; +import { + Select, + SelectContent, + SelectItem, + SelectTrigger, + SelectValue, +} from "../../components/ui/select"; +import { PaginatorComponentType } from "../../types/components"; +import IconComponent from "../genericIconComponent"; +import { Button } from "../ui/button"; + +export default function PaginatorComponent({ + pageSize = 10, + pageIndex = 1, + rowsCount = [10, 20, 30], + totalRowsCount = 0, + paginate, +}: PaginatorComponentType) { + const [size, setPageSize] = useState(pageSize); + const [index, setPageIndex] = useState(pageIndex); + + const [maxIndex, setMaxPageIndex] = useState( + Math.ceil(totalRowsCount / pageSize) + ); + + return ( + <> +
+
+
+
+

Rows per page

+ +
+
+ Page {index} of {maxIndex} +
+
+ + + + +
+
+
+ + ); +} diff --git a/src/frontend/src/components/RadialProgress/index.tsx b/src/frontend/src/components/RadialProgress/index.tsx index f277a9c80..5c46fd6b8 100644 --- a/src/frontend/src/components/RadialProgress/index.tsx +++ b/src/frontend/src/components/RadialProgress/index.tsx @@ -3,16 +3,16 @@ import { RadialProgressType } from "../../types/components"; export default function RadialProgressComponent({ value, color, -}: RadialProgressType) { +}: RadialProgressType): JSX.Element { const style = { - "--value": value * 100, + "--value": value! * 100, "--size": "1.5rem", "--thickness": "2px", } as React.CSSProperties; return (
- {Math.trunc(value * 100)}% + {Math.trunc(value! * 100)}%
); } diff --git a/src/frontend/src/components/ReactTooltipComponent/index.tsx b/src/frontend/src/components/ReactTooltipComponent/index.tsx index 0f0c64b89..18eb67b33 100644 --- a/src/frontend/src/components/ReactTooltipComponent/index.tsx +++ b/src/frontend/src/components/ReactTooltipComponent/index.tsx @@ -3,20 +3,9 @@ import type { FC } from "react"; import React from "react"; import { Tooltip as ReactTooltip } from "react-tooltip"; import "react-tooltip/dist/react-tooltip.css"; +import { TooltipProps } from "../../types/components"; import { classNames } from "../../utils/utils"; -type TooltipProps = { - selector: string; - content?: string; - disabled?: boolean; - htmlContent?: React.ReactNode; - className?: string; // This should use !impornant to override the default styles eg: '!bg-white' - position?: "top" | "right" | "bottom" | "left"; - clickable?: boolean; - children: React.ReactNode; - delayShow?: number; -}; - const TooltipReact: FC = ({ selector, content, @@ -27,7 +16,7 @@ const TooltipReact: FC = ({ className, clickable, delayShow, -}) => { +}: TooltipProps): JSX.Element => { return (
{React.cloneElement(children as React.ReactElement, { @@ -38,7 +27,7 @@ const TooltipReact: FC = ({ content={content} className={classNames( "z-[9999] !bg-white !text-xs !font-normal !text-foreground !opacity-100 !shadow-md", - className + className! )} place={position} clickable={clickable} diff --git a/src/frontend/src/components/SanitizedHTMLWrapper/index.tsx b/src/frontend/src/components/SanitizedHTMLWrapper/index.tsx index e76105c00..db26ad918 100644 --- a/src/frontend/src/components/SanitizedHTMLWrapper/index.tsx +++ b/src/frontend/src/components/SanitizedHTMLWrapper/index.tsx @@ -1,11 +1,12 @@ import DOMPurify from "dompurify"; +import { SanitizedHTMLWrapperType } from "../../types/components"; const SanitizedHTMLWrapper = ({ className, content, onClick, suppressWarning = false, -}) => { +}: SanitizedHTMLWrapperType): JSX.Element => { const sanitizedHTML = DOMPurify.sanitize(content); return ( diff --git a/src/frontend/src/components/ShadTooltipComponent/index.tsx b/src/frontend/src/components/ShadTooltipComponent/index.tsx index 89f301e60..62d5bc2e4 100644 --- a/src/frontend/src/components/ShadTooltipComponent/index.tsx +++ b/src/frontend/src/components/ShadTooltipComponent/index.tsx @@ -8,7 +8,7 @@ export default function ShadTooltip({ children, styleClasses, delayDuration = 500, -}: ShadToolTipType) { +}: ShadToolTipType): JSX.Element { return ( {children} diff --git a/src/frontend/src/components/TooltipComponent/index.tsx b/src/frontend/src/components/TooltipComponent/index.tsx index 91fa006ec..5f105873d 100644 --- a/src/frontend/src/components/TooltipComponent/index.tsx +++ b/src/frontend/src/components/TooltipComponent/index.tsx @@ -5,7 +5,7 @@ export default function Tooltip({ children, title, placement, -}: TooltipComponentType) { +}: TooltipComponentType): JSX.Element { return ( {children} diff --git a/src/frontend/src/components/cardComponent/index.tsx b/src/frontend/src/components/cardComponent/index.tsx index 12c409047..d6b22fefb 100644 --- a/src/frontend/src/components/cardComponent/index.tsx +++ b/src/frontend/src/components/cardComponent/index.tsx @@ -1,6 +1,6 @@ import { useContext } from "react"; import { TabsContext } from "../../contexts/tabsContext"; -import { FlowType } from "../../types/flow"; +import { cardComponentPropsType } from "../../types/components"; import { gradients } from "../../utils/styleUtils"; import IconComponent from "../genericIconComponent"; import { @@ -16,12 +16,7 @@ export const CardComponent = ({ id, onDelete, button, -}: { - flow: FlowType; - id: string; - onDelete?: () => void; - button?: JSX.Element; -}) => { +}: cardComponentPropsType): JSX.Element => { const { removeFlow } = useContext(TabsContext); return ( diff --git a/src/frontend/src/components/chatComponent/buildTrigger/index.tsx b/src/frontend/src/components/chatComponent/buildTrigger/index.tsx index 4eb69546e..0967952b5 100644 --- a/src/frontend/src/components/chatComponent/buildTrigger/index.tsx +++ b/src/frontend/src/components/chatComponent/buildTrigger/index.tsx @@ -8,6 +8,8 @@ import { postBuildInit } from "../../../controllers/API"; import { FlowType } from "../../../types/flow"; import { TabsContext } from "../../../contexts/tabsContext"; +import { parsedDataType } from "../../../types/components"; +import { TabsState } from "../../../types/tabs"; import { validateNodes } from "../../../utils/reactflowUtils"; import RadialProgressComponent from "../../RadialProgress"; import IconComponent from "../../genericIconComponent"; @@ -21,7 +23,7 @@ export default function BuildTrigger({ flow: FlowType; setIsBuilt: any; isBuilt: boolean; -}) { +}): JSX.Element { const { updateSSEData, isBuilding, setIsBuilding, sseData } = useSSE(); const { reactFlowInstance } = useContext(typesContext); const { setTabsState } = useContext(TabsContext); @@ -30,12 +32,12 @@ export default function BuildTrigger({ const eventClick = isBuilding ? "pointer-events-none" : ""; const [progress, setProgress] = useState(0); - async function handleBuild(flow: FlowType) { + async function handleBuild(flow: FlowType): Promise { try { if (isBuilding) { return; } - const errors = validateNodes(reactFlowInstance); + const errors = validateNodes(reactFlowInstance!); if (errors.length > 0) { setErrorData({ title: "Oops! Looks like you missed something", @@ -69,7 +71,7 @@ export default function BuildTrigger({ const response = await postBuildInit(flow); const { flowId } = response.data; // Step 2: Use the session ID to establish an SSE connection using EventSource - let validationResults = []; + let validationResults: boolean[] = []; let finished = false; const apiUrl = `/api/v1/build/stream/${flowId}`; const eventSource = new EventSource(apiUrl); @@ -82,14 +84,17 @@ export default function BuildTrigger({ const parsedData = JSON.parse(event.data); // if the event is the end of the stream, close the connection if (parsedData.end_of_stream) { + // Close the connection and finish + finished = true; eventSource.close(); return; } else if (parsedData.log) { // If the event is a log, log it setSuccessData({ title: parsedData.log }); - } else if (parsedData.input_keys) { - setTabsState((old) => { + } else if (parsedData.input_keys !== undefined) { + //@ts-ignore + setTabsState((old: TabsState) => { return { ...old, [flowId]: { @@ -118,13 +123,13 @@ export default function BuildTrigger({ // Step 3: Wait for the stream to finish while (!finished) { await new Promise((resolve) => setTimeout(resolve, 100)); - finished = validationResults.length === flow.data.nodes.length; + finished = validationResults.length === flow.data!.nodes.length; } // Step 4: Return true if all nodes are valid, false otherwise return validationResults.every((result) => result); } - function processStreamResult(parsedData) { + function processStreamResult(parsedData: parsedDataType) { // Process each chunk of data here // Parse the chunk and update the context try { diff --git a/src/frontend/src/components/chatComponent/chatTrigger/index.tsx b/src/frontend/src/components/chatComponent/chatTrigger/index.tsx index a92a8e0cd..a390da8d2 100644 --- a/src/frontend/src/components/chatComponent/chatTrigger/index.tsx +++ b/src/frontend/src/components/chatComponent/chatTrigger/index.tsx @@ -8,12 +8,18 @@ import { FLOW_NOT_BUILT_TITLE, } from "../../../constants/constants"; import { alertContext } from "../../../contexts/alertContext"; +import { chatTriggerPropType } from "../../../types/components"; import IconComponent from "../../genericIconComponent"; -export default function ChatTrigger({ open, setOpen, isBuilt, canOpen }) { +export default function ChatTrigger({ + open, + setOpen, + isBuilt, + canOpen, +}: chatTriggerPropType): JSX.Element { const { setErrorData } = useContext(alertContext); - function handleClick() { + function handleClick(): void { if (isBuilt) { if (canOpen) { setOpen(true); diff --git a/src/frontend/src/components/chatComponent/index.tsx b/src/frontend/src/components/chatComponent/index.tsx index 3cbe5bbf1..69765dfe0 100644 --- a/src/frontend/src/components/chatComponent/index.tsx +++ b/src/frontend/src/components/chatComponent/index.tsx @@ -10,7 +10,7 @@ import { getBuildStatus } from "../../controllers/API"; import FormModal from "../../modals/formModal"; import { NodeType } from "../../types/flow"; -export default function Chat({ flow }: ChatType) { +export default function Chat({ flow }: ChatType): JSX.Element { const [open, setOpen] = useState(false); const [canOpen, setCanOpen] = useState(false); const { tabsState, isBuilt, setIsBuilt } = useContext(TabsContext); @@ -44,11 +44,11 @@ export default function Chat({ flow }: ChatType) { }, [flow]); const prevNodesRef = useRef(); - const nodes = useNodes(); + const nodes: NodeType[] = useNodes(); useEffect(() => { const prevNodes = prevNodesRef.current; const currentNodes = nodes.map((node: NodeType) => - _.cloneDeep(node.data.node.template) + _.cloneDeep(node.data.node?.template) ); if ( tabsState && @@ -62,8 +62,7 @@ export default function Chat({ flow }: ChatType) { tabsState && tabsState[flow.id] && tabsState[flow.id].formKeysData && - tabsState[flow.id].formKeysData.input_keys && - Object.keys(tabsState[flow.id].formKeysData.input_keys).length > 0 + tabsState[flow.id].formKeysData.input_keys !== null ) { setCanOpen(true); } else { diff --git a/src/frontend/src/components/codeAreaComponent/index.tsx b/src/frontend/src/components/codeAreaComponent/index.tsx index 05e8127da..a402fb3ed 100644 --- a/src/frontend/src/components/codeAreaComponent/index.tsx +++ b/src/frontend/src/components/codeAreaComponent/index.tsx @@ -33,10 +33,10 @@ export default function CodeAreaComponent({ dynamic={dynamic} value={myValue} nodeClass={nodeClass} - setNodeClass={setNodeClass} - setValue={(t: string) => { - setMyValue(t); - onChange(t); + setNodeClass={setNodeClass!} + setValue={(value: string) => { + setMyValue(value); + onChange(value); }} >
diff --git a/src/frontend/src/components/codeTabsComponent/index.tsx b/src/frontend/src/components/codeTabsComponent/index.tsx index bc9ca3a5a..e60e09ae5 100644 --- a/src/frontend/src/components/codeTabsComponent/index.tsx +++ b/src/frontend/src/components/codeTabsComponent/index.tsx @@ -29,7 +29,7 @@ import { TabsTrigger, } from "../../components/ui/tabs"; import { darkContext } from "../../contexts/darkContext"; -import { FlowType } from "../../types/flow/index"; +import { codeTabsPropsType } from "../../types/components"; import { classNames } from "../../utils/utils"; import IconComponent from "../genericIconComponent"; @@ -40,28 +40,15 @@ export default function CodeTabsComponent({ setActiveTab, isMessage, tweaks, -}: { - flow?: FlowType; - tabs: any; - activeTab: string; - setActiveTab: any; - isMessage?: boolean; - tweaks?: { - tweak?: any; - tweaksList?: any; - buildContent?: any; - getValue?: any; - buildTweakObject?: any; - }; -}) { +}: codeTabsPropsType) { const [isCopied, setIsCopied] = useState(false); - const [data, setData] = useState(flow ? flow["data"]["nodes"] : null); - const [openAccordion, setOpenAccordion] = useState([]); + const [data, setData] = useState(flow ? flow["data"]!["nodes"] : null); + const [openAccordion, setOpenAccordion] = useState([]); const { dark } = useContext(darkContext); useEffect(() => { - if (flow && flow["data"]["nodes"]) { - setData(flow["data"]["nodes"]); + if (flow && flow["data"]!["nodes"]) { + setData(flow["data"]!["nodes"]); } }, [flow]); @@ -102,8 +89,8 @@ export default function CodeTabsComponent({ }; function openAccordions() { - let accordionsToOpen = []; - tweaks.tweak.current.forEach((el) => { + let accordionsToOpen: string[] = []; + tweaks?.tweak!.current.forEach((el) => { Object.keys(el).forEach((key) => { if (Object.keys(el[key]).length > 0) { accordionsToOpen.push(key); @@ -132,21 +119,25 @@ export default function CodeTabsComponent({ }} >
- - {tabs.map((tab, index) => ( - - {tab.name} - - ))} - + {tabs.length > 0 && tabs[0].name !== "" ? ( + + {tabs.map((tab, index) => ( + + {tab.name} + + ))} + + ) : ( +
+ )} {Number(activeTab) < 4 && ( -
+