diff --git a/.github/workflows/docker-build.yml b/.github/workflows/docker-build.yml index f63920703..c5ea5f6f7 100644 --- a/.github/workflows/docker-build.yml +++ b/.github/workflows/docker-build.yml @@ -23,14 +23,23 @@ env: POETRY_VERSION: "1.8.2" jobs: - docker_build: - name: Build Docker Image + setup: runs-on: ubuntu-latest + outputs: + base_tags: ${{ steps.set-vars.outputs.base_tags }} + main_tags: ${{ steps.set-vars.outputs.main_tags }} + steps: + - uses: actions/checkout@v4 + - name: Set Dockerfile and Tags + id: set-vars + run: | + echo "base_tags=langflowai/langflow:base-${{ inputs.version }}" >> $GITHUB_OUTPUT + echo "main_tags=langflowai/langflow:${{ inputs.version }},langflowai/langflow:1.0-alpha" >> $GITHUB_OUTPUT + build_base: + runs-on: ubuntu-latest + needs: setup steps: - uses: actions/checkout@v4 - - name: Set up QEMU - uses: docker/setup-qemu-action@v3 - id: qemu - name: Set up Docker Buildx uses: docker/setup-buildx-action@v3 - name: Login to Docker Hub @@ -38,56 +47,54 @@ jobs: with: username: ${{ secrets.DOCKERHUB_USERNAME }} password: ${{ secrets.DOCKERHUB_TOKEN }} - - name: Set Dockerfile and Tags - id: set-vars - run: | - if [ "${{ inputs.release_type }}" == "base" ]; then - echo "DOCKERFILE=./docker/build_and_push_base.Dockerfile" >> $GITHUB_ENV - echo "TAGS=langflowai/langflow:base-${{ inputs.version }}" >> $GITHUB_ENV - else - echo "DOCKERFILE=./docker/build_and_push.Dockerfile" >> $GITHUB_ENV - echo "TAGS=langflowai/langflow:${{ inputs.version }},langflowai/langflow:1.0-alpha" >> $GITHUB_ENV - fi - - name: Build and push + - name: Build and push Base Image uses: docker/build-push-action@v5 with: context: . push: true platforms: "linux/amd64,linux/arm64/v8" - file: ${{ env.DOCKERFILE }} - tags: ${{ env.TAGS }} - - name: Wait for Docker Hub to propagate - run: sleep 120 - - name: Build and push (backend) - if: ${{ inputs.release_type == 'main' }} + file: ./docker/build_and_push_base.Dockerfile + tags: ${{ needs.setup.outputs.base_tags }} + + build_components: + if: ${{ inputs.release_type == 'main' }} + runs-on: ubuntu-latest + needs: build_base + strategy: + matrix: + component: [backend, frontend] + include: + - component: backend + dockerfile: ./docker/build_and_push_backend.Dockerfile + tags: langflowai/langflow-backend:${{ inputs.version }},langflowai/langflow-backend:1.0-alpha + - component: frontend + dockerfile: ./docker/frontend/build_and_push_frontend.Dockerfile + tags: langflowai/langflow-frontend:${{ inputs.version }},langflowai/langflow-frontend:1.0-alpha + steps: + - uses: actions/checkout@v4 + - name: Set up Docker Buildx + uses: docker/setup-buildx-action@v3 + - name: Login to Docker Hub + uses: docker/login-action@v3 + with: + username: ${{ secrets.DOCKERHUB_USERNAME }} + password: ${{ secrets.DOCKERHUB_TOKEN }} + - name: Build and push ${{ matrix.component }} uses: docker/build-push-action@v5 with: context: . push: true platforms: "linux/amd64,linux/arm64/v8" - file: ./docker/build_and_push_backend.Dockerfile build-args: | LANGFLOW_IMAGE=langflowai/langflow:${{ inputs.version }} - tags: | - langflowai/langflow-backend:${{ inputs.version }} - langflowai/langflow-backend:1.0-alpha - - name: Build and push (frontend) - if: ${{ inputs.release_type == 'main' }} - uses: docker/build-push-action@v5 - with: - context: . - push: true - file: ./docker/frontend/build_and_push_frontend.Dockerfile - platforms: "linux/amd64,linux/arm64/v8" - tags: | - langflowai/langflow-frontend:${{ inputs.version }} - langflowai/langflow-frontend:1.0-alpha + file: ${{ matrix.dockerfile }} + tags: ${{ matrix.tags }} restart-space: name: Restart HuggingFace Spaces if: ${{ inputs.release_type == 'main' }} runs-on: ubuntu-latest - needs: docker_build + needs: build_base strategy: matrix: python-version: diff --git a/.github/workflows/docker_test.yml b/.github/workflows/docker_test.yml index 9be7beb00..07b826c58 100644 --- a/.github/workflows/docker_test.yml +++ b/.github/workflows/docker_test.yml @@ -24,6 +24,7 @@ env: jobs: test-docker: runs-on: ubuntu-latest + name: Test docker images steps: - uses: actions/checkout@v4 - name: Build image @@ -61,20 +62,3 @@ jobs: docker build -t langflowai/langflow-frontend:latest-dev \ -f docker/frontend/build_and_push_frontend.Dockerfile \ . - test-multi-arch-build: - runs-on: ubuntu-latest - steps: - - uses: actions/checkout@v4 - - name: Set up QEMU - uses: docker/setup-qemu-action@v3 - id: qemu - - name: Set up Docker Buildx - uses: docker/setup-buildx-action@v3 - - name: Build and push - uses: docker/build-push-action@v5 - with: - context: . - push: false - file: ./docker/build_and_push.Dockerfile - platforms: "linux/amd64,linux/arm64/v8" - tags: langflowai/langflow:latest-dev diff --git a/.github/workflows/lint-js.yml b/.github/workflows/lint-js.yml new file mode 100644 index 000000000..0590e8a38 --- /dev/null +++ b/.github/workflows/lint-js.yml @@ -0,0 +1,51 @@ +name: Lint Frontend + +on: + pull_request: + paths: + - "src/frontend/**" + +env: + NODE_VERSION: "21" + +jobs: + run-linters: + name: Run linters + runs-on: ubuntu-latest + + steps: + - name: Checkout code + uses: actions/checkout@v4 + + - name: Setup Node.js + uses: actions/setup-node@v4 + id: setup-node + with: + node-version: ${{ env.NODE_VERSION }} + + - name: Cache Node.js dependencies + uses: actions/cache@v4 + id: npm-cache + with: + path: ~/.npm + key: ${{ runner.os }}-node-${{ hashFiles('src/frontend/package-lock.json') }} + restore-keys: | + ${{ runner.os }}-node- + + - name: Install Node.js dependencies + run: | + cd src/frontend + npm ci + if: ${{ steps.setup-node.outputs.cache-hit != 'true' }} + + - name: Run linters + uses: wearerequired/lint-action@v1 + with: + github_token: ${{ secrets.github_token }} + auto_fix: true + git_email: "gabriel@langflow.org" + # Enable linters + eslint: true + prettier: true + prettier_args: '--write \"{tests,src}/**/*.{js,jsx,ts,tsx,json,md}\" --ignore-path .prettierignore' + diff --git a/.github/workflows/lint.yml b/.github/workflows/lint-py.yml similarity index 75% rename from .github/workflows/lint.yml rename to .github/workflows/lint-py.yml index 3c5898369..6182f91fc 100644 --- a/.github/workflows/lint.yml +++ b/.github/workflows/lint-py.yml @@ -1,17 +1,12 @@ -name: lint +name: Lint Python on: - push: - branches: [main] - paths: - - "poetry.lock" - - "pyproject.toml" - - "src/backend/**" pull_request: paths: - "poetry.lock" - "pyproject.toml" - "src/backend/**" + - "tests/**" env: POETRY_VERSION: "1.8.2" @@ -45,6 +40,13 @@ jobs: path: | ./.mypy_cache key: ${{ runner.os }}-mypy-${{ hashFiles('**/pyproject.toml') }} - - name: Lint check - run: | - make lint + - name: Run linters + uses: wearerequired/lint-action@v1 + with: + github_token: ${{ secrets.github_token }} + # Enable linters + git_email: "gabriel@langflow.org" + mypy: true + mypy_args: '--namespace-packages -p "langflow"' + mypy_command_prefix: "poetry run" + diff --git a/.github/workflows/matchers/ruff.json b/.github/workflows/matchers/ruff.json new file mode 100644 index 000000000..53b21be23 --- /dev/null +++ b/.github/workflows/matchers/ruff.json @@ -0,0 +1,14 @@ +{ + "problemMatcher": [ + { + "owner": "ruff", + "pattern": [ + { + "regexp": "^(Would reformat): (.+)$", + "message": 1, + "file": 2 + } + ] + } + ] +} \ No newline at end of file diff --git a/.github/workflows/style-check-py.yml b/.github/workflows/style-check-py.yml new file mode 100644 index 000000000..4063cd48d --- /dev/null +++ b/.github/workflows/style-check-py.yml @@ -0,0 +1,39 @@ +name: Ruff Style Check + +on: + pull_request: + paths: + - "poetry.lock" + - "pyproject.toml" + - "src/backend/**" + - "tests/**" + +env: + POETRY_VERSION: "1.8.2" + +jobs: + lint: + runs-on: ubuntu-latest + strategy: + matrix: + python-version: + - "3.12" + steps: + - uses: actions/checkout@v4 + - name: Set up Python ${{ matrix.python-version }} + Poetry ${{ env.POETRY_VERSION }} + uses: "./.github/actions/poetry_caching" + with: + python-version: ${{ matrix.python-version }} + poetry-version: ${{ env.POETRY_VERSION }} + cache-key: ${{ runner.os }}-poetry-${{ env.POETRY_VERSION }}-${{ hashFiles('**/poetry.lock') }} + - name: Install Python dependencies + run: | + poetry env use ${{ matrix.python-version }} + poetry install + - name: Register problem matcher + run: echo "::add-matcher::.github/workflows/matchers/ruff.json" + - name: Run Ruff + run: poetry run ruff check --output-format=github . + - name: Run Ruff format + run: poetry run ruff format --check . + diff --git a/.gitignore b/.gitignore index c81ff34d3..749eff4d3 100644 --- a/.gitignore +++ b/.gitignore @@ -180,6 +180,8 @@ coverage.xml local_settings.py db.sqlite3 db.sqlite3-journal +*.db-shm +*.db-wal # Flask stuff: instance/ diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index d03df05b9..16599a199 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -1,18 +1,5 @@ fail_fast: true repos: - - repo: https://github.com/pre-commit/mirrors-eslint - rev: "v9.1.1" - hooks: - - id: eslint - files: \.[jt]sx?$ # *.js, *.jsx, *.ts and *.tsx - types: [file] - args: ["--fix", "--no-warn-ignored"] - additional_dependencies: - - eslint@9.1.1 - - eslint-plugin-prettier - - eslint-config-prettier - - prettier - - eslint-plugin-react@latest - repo: https://github.com/pre-commit/pre-commit-hooks rev: v4.1.0 hooks: @@ -25,16 +12,3 @@ repos: args: - --fix=lf - id: trailing-whitespace - - repo: https://github.com/astral-sh/ruff-pre-commit - # Ruff version. - rev: v0.4.2 - hooks: - # Run the linter. - - id: ruff - # Python - files: \.py$ - types: [file] - # Run the formatter. - - id: ruff-format - files: \.py$ - types: [file] diff --git a/Makefile b/Makefile index 4592caf9b..88487d312 100644 --- a/Makefile +++ b/Makefile @@ -9,17 +9,21 @@ open_browser ?= true path = src/backend/base/langflow/frontend workers ?= 1 + codespell: @poetry install --with spelling poetry run codespell --toml pyproject.toml + fix_codespell: @poetry install --with spelling poetry run codespell --toml pyproject.toml --write + setup_poetry: pipx install poetry + add: @echo 'Adding dependencies' ifdef devel @@ -34,45 +38,54 @@ ifdef base cd src/backend/base && poetry add $(base) endif + init: @echo 'Installing backend dependencies' make install_backend @echo 'Installing frontend dependencies' make install_frontend -coverage: + +coverage: ## run the tests and generate a coverage report poetry run pytest --cov \ --cov-config=.coveragerc \ --cov-report xml \ --cov-report term-missing:skip-covered \ --cov-report lcov:coverage/lcov-pytest.info + # allow passing arguments to pytest -tests: +tests: ## run the tests poetry run pytest tests --instafail -ra -n auto -m "not api_key_required" $(args) -format: +format: ## run code formatters poetry run ruff check . --fix poetry run ruff format . cd src/frontend && npm run format -lint: + +lint: ## run linters poetry run mypy --namespace-packages -p "langflow" -install_frontend: + +install_frontend: ## install the frontend dependencies cd src/frontend && npm install + install_frontendci: cd src/frontend && npm ci + install_frontendc: cd src/frontend && rm -rf node_modules package-lock.json && npm install + run_frontend: @-kill -9 `lsof -t -i:3000` cd src/frontend && npm start + tests_frontend: ifeq ($(UI), true) cd src/frontend && npx playwright test --ui --project=chromium @@ -80,6 +93,7 @@ else cd src/frontend && npx playwright test --project=chromium endif + run_cli: @echo 'Running the CLI' @make install_frontend > /dev/null @@ -93,6 +107,7 @@ else @make start host=$(host) port=$(port) log_level=$(log_level) endif + run_cli_debug: @echo 'Running the CLI in debug mode' @make install_frontend > /dev/null @@ -106,6 +121,7 @@ else @make start host=$(host) port=$(port) log_level=debug endif + start: @echo 'Running the CLI' @@ -116,30 +132,34 @@ else endif - setup_devcontainer: make init make build_frontend poetry run langflow --path src/frontend/build + setup_env: @sh ./scripts/setup/update_poetry.sh 1.8.2 @sh ./scripts/setup/setup_env.sh -frontend: + +frontend: ## run the frontend in development mode make install_frontend make run_frontend + frontendc: make install_frontendc make run_frontend + install_backend: @echo 'Installing backend dependencies' @poetry install @poetry run pre-commit install -backend: + +backend: ## run the backend in development mode @echo 'Setting up the environment' @make setup_env make install_backend @@ -152,6 +172,7 @@ else poetry run uvicorn --factory langflow.main:create_app --host 0.0.0.0 --port 7860 --reload --env-file .env --loop asyncio --workers $(workers) endif + build_and_run: @echo 'Removing dist folder' @make setup_env @@ -161,18 +182,21 @@ build_and_run: poetry run pip install dist/*.tar.gz poetry run langflow run + build_and_install: @echo 'Removing dist folder' rm -rf dist rm -rf src/backend/base/dist make build && poetry run pip install dist/*.whl && pip install src/backend/base/dist/*.whl --force-reinstall -build_frontend: + +build_frontend: ## build the frontend static files cd src/frontend && CI='' npm run build rm -rf src/backend/base/langflow/frontend cp -r src/frontend/build src/backend/base/langflow/frontend -build: + +build: ## build the frontend static files and package the project @echo 'Building the project' @make setup_env ifdef base @@ -185,13 +209,16 @@ ifdef main make build_langflow endif + build_langflow_base: cd src/backend/base && poetry build rm -rf src/backend/base/langflow/frontend + build_langflow_backup: poetry lock && poetry build + build_langflow: cd ./scripts && poetry run python update_dependencies.py poetry lock @@ -201,7 +228,8 @@ ifdef restore mv poetry.lock.bak poetry.lock endif -dev: + +dev: ## run the project in development mode with docker compose make install_frontend ifeq ($(build),1) @echo 'Running docker compose up with build' @@ -211,25 +239,30 @@ else docker compose $(if $(debug),-f docker-compose.debug.yml) up endif + lock_base: cd src/backend/base && poetry lock lock_langflow: poetry lock + lock: # Run both in parallel @echo 'Locking dependencies' cd src/backend/base && poetry lock poetry lock + publish_base: cd src/backend/base && poetry publish + publish_langflow: poetry publish -publish: + +publish: ## build the frontend static files and package the project and publish it to PyPI @echo 'Publishing the project' ifdef base make publish_base @@ -239,17 +272,11 @@ ifdef main make publish_langflow endif -help: + +help: ## show this help message @echo '----' - @echo 'format - run code formatters' - @echo 'lint - run linters' - @echo 'install_frontend - install the frontend dependencies' - @echo 'build_frontend - build the frontend static files' - @echo 'run_frontend - run the frontend in development mode' - @echo 'run_backend - run the backend in development mode' - @echo 'build - build the frontend static files and package the project' - @echo 'publish - build the frontend static files and package the project and publish it to PyPI' - @echo 'dev - run the project in development mode with docker compose' - @echo 'tests - run the tests' - @echo 'coverage - run the tests and generate a coverage report' + @echo -e "$$(grep -hE '^\S+:.*##' $(MAKEFILE_LIST) | \ + sed -e 's/:.*##\s*/:/' \ + -e 's/^\(.\+\):\(.*\)/\\x1b[36mmake \1\\x1b[m:\2/' | \ + column -c2 -t -s :']]')" @echo '----' diff --git a/docker/build_and_push.Dockerfile b/docker/build_and_push.Dockerfile index 43d9a0272..79f6ac8d7 100644 --- a/docker/build_and_push.Dockerfile +++ b/docker/build_and_push.Dockerfile @@ -7,8 +7,9 @@ # Used to build deps + create our virtual environment ################################ -# force platform to the current architecture to increase build speed time on multi-platform builds -FROM --platform=$BUILDPLATFORM python:3.12-slim as builder-base +# 1. use python:3.12.3-slim as the base image until https://github.com/pydantic/pydantic-core/issues/1292 gets resolved +# 2. do not add --platform=$BUILDPLATFORM because the pydantic binaries must be resolved for the final architecture +FROM python:3.12.3-slim as builder-base ENV PYTHONDONTWRITEBYTECODE=1 \ \ @@ -51,15 +52,27 @@ COPY pyproject.toml poetry.lock README.md ./ COPY src/ ./src COPY scripts/ ./scripts RUN python -m pip install requests --user && cd ./scripts && python update_dependencies.py + +# 1. Install the dependencies using the current poetry.lock file to create reproducible builds +# 2. Do not install dev dependencies +# 3. Install all the extras to ensure all optionals are installed as well +# 4. --sync to ensure nothing else is in the environment +# 5. Build the wheel and install "langflow" package (mainly for version) + +# Note: moving to build and installing the wheel will make the docker images not reproducible. RUN $POETRY_HOME/bin/poetry lock --no-update \ + # install current lock file with fixed dependencies versions \ + # do not install dev dependencies \ + && $POETRY_HOME/bin/poetry install --without dev --sync -E deploy -E couchbase -E cassio \ && $POETRY_HOME/bin/poetry build -f wheel \ - && $POETRY_HOME/bin/poetry run pip install dist/*.whl --force-reinstall + && $POETRY_HOME/bin/poetry run pip install dist/*.whl ################################ # RUNTIME # Setup user, utilities and copy the virtual environment only ################################ -FROM python:3.12-slim as runtime +# 1. use python:3.12.3-slim as the base image until https://github.com/pydantic/pydantic-core/issues/1292 gets resolved +FROM python:3.12.3-slim as runtime RUN apt-get -y update \ && apt-get install --no-install-recommends -y \ diff --git a/docker/build_and_push_base.Dockerfile b/docker/build_and_push_base.Dockerfile index f70a517da..916531df2 100644 --- a/docker/build_and_push_base.Dockerfile +++ b/docker/build_and_push_base.Dockerfile @@ -10,7 +10,9 @@ # PYTHON-BASE # Sets up all our shared environment variables ################################ -FROM python:3.12-slim as python-base + +# use python:3.12.3-slim as the base image until https://github.com/pydantic/pydantic-core/issues/1292 gets resolved +FROM python:3.12.3-slim as python-base # python ENV PYTHONUNBUFFERED=1 \ diff --git a/docker/frontend/build_and_push_frontend.Dockerfile b/docker/frontend/build_and_push_frontend.Dockerfile index 46c5ffdeb..55f570187 100644 --- a/docker/frontend/build_and_push_frontend.Dockerfile +++ b/docker/frontend/build_and_push_frontend.Dockerfile @@ -5,7 +5,7 @@ # BUILDER-BASE ################################ -# force platform to the current architecture to increase build speed time on multi-platform builds +# 1. force platform to the current architecture to increase build speed time on multi-platform builds FROM --platform=$BUILDPLATFORM node:lts-bookworm-slim as builder-base COPY src/frontend /frontend diff --git a/docker/frontend/nginx.conf b/docker/frontend/nginx.conf index d5ecfce43..593b1dcc8 100644 --- a/docker/frontend/nginx.conf +++ b/docker/frontend/nginx.conf @@ -7,7 +7,7 @@ server { gzip_vary on; gzip_disable "MSIE [4-6] \."; - listen 80; + listen __FRONTEND_PORT__; location / { root /usr/share/nginx/html; diff --git a/docker/frontend/start-nginx.sh b/docker/frontend/start-nginx.sh index 3607adf7d..6ef09745c 100644 --- a/docker/frontend/start-nginx.sh +++ b/docker/frontend/start-nginx.sh @@ -4,11 +4,20 @@ trap 'kill -TERM $PID' TERM INT if [ -z "$BACKEND_URL" ]; then BACKEND_URL="$1" fi +if [ -z "$FRONTEND_PORT" ]; then + FRONTEND_PORT="$2" +fi +if [ -z "$FRONTEND_PORT" ]; then + FRONTEND_PORT="80" +fi if [ -z "$BACKEND_URL" ]; then echo "BACKEND_URL must be set as an environment variable or as first parameter. (e.g. http://localhost:7860)" exit 1 fi +echo "BACKEND_URL: $BACKEND_URL" +echo "FRONTEND_PORT: $FRONTEND_PORT" sed -i "s|__BACKEND_URL__|$BACKEND_URL|g" /etc/nginx/conf.d/default.conf +sed -i "s|__FRONTEND_PORT__|$FRONTEND_PORT|g" /etc/nginx/conf.d/default.conf cat /etc/nginx/conf.d/default.conf diff --git a/poetry.lock b/poetry.lock index 91afed2ff..3febf4aa2 100644 --- a/poetry.lock +++ b/poetry.lock @@ -471,17 +471,17 @@ files = [ [[package]] name = "boto3" -version = "1.34.125" +version = "1.34.126" description = "The AWS SDK for Python" optional = false python-versions = ">=3.8" files = [ - {file = "boto3-1.34.125-py3-none-any.whl", hash = "sha256:116d9eb3c26cf313a2e1e44ef704d1f98f9eb18e7628695d07b01b44a8683544"}, - {file = "boto3-1.34.125.tar.gz", hash = "sha256:31c4a5e4d6f9e6116be61ff654b424ddbd1afcdefe0e8b870c4796f9108eb1c6"}, + {file = "boto3-1.34.126-py3-none-any.whl", hash = "sha256:7f676daef674fe74f34ce4063228eccc6e60c811f574720e31f230296c4bf29a"}, + {file = "boto3-1.34.126.tar.gz", hash = "sha256:7e8418b47dd43954a9088d504541bed8a42b6d06e712d02befba134c1c4d7c6d"}, ] [package.dependencies] -botocore = ">=1.34.125,<1.35.0" +botocore = ">=1.34.126,<1.35.0" jmespath = ">=0.7.1,<2.0.0" s3transfer = ">=0.10.0,<0.11.0" @@ -490,13 +490,13 @@ crt = ["botocore[crt] (>=1.21.0,<2.0a0)"] [[package]] name = "botocore" -version = "1.34.125" +version = "1.34.126" description = "Low-level, data-driven core of boto 3." optional = false python-versions = ">=3.8" files = [ - {file = "botocore-1.34.125-py3-none-any.whl", hash = "sha256:71e97e7d2c088f1188ba6976441b5857a5425acd4aaa31b45d13119c9cb86424"}, - {file = "botocore-1.34.125.tar.gz", hash = "sha256:d2882be011ad5b16e7ab4a96360b5b66a0a7e175c1ea06dbf2de473c0a0a33d8"}, + {file = "botocore-1.34.126-py3-none-any.whl", hash = "sha256:7eff883c638fe30e0b036789df32d851e093d12544615a3b90062b42ac85bdbc"}, + {file = "botocore-1.34.126.tar.gz", hash = "sha256:7a8ccb6a7c02456757a984a3a44331b6f51c94cb8b9b287cd045122fd177a4b0"}, ] [package.dependencies] @@ -4113,22 +4113,25 @@ adal = ["adal (>=1.0.2)"] [[package]] name = "langchain" -version = "0.2.3" +version = "0.2.4" description = "Building applications with LLMs through composability" optional = false python-versions = "<4.0,>=3.8.1" files = [ - {file = "langchain-0.2.3-py3-none-any.whl", hash = "sha256:5dc33cd9c8008693d328b7cb698df69073acecc89ad9c2a95f243b3314f8d834"}, - {file = "langchain-0.2.3.tar.gz", hash = "sha256:81962cc72cce6515f7bd71e01542727870789bf8b666c6913d85559080c1a201"}, + {file = "langchain-0.2.4-py3-none-any.whl", hash = "sha256:a04813215c30f944df006031e2febde872af8fab628dcee825d969e07b6cd621"}, + {file = "langchain-0.2.4.tar.gz", hash = "sha256:e704b5b06222d5eba2d02c76f891321d1bac8952ed54e093831b2bdabf99dcd5"}, ] [package.dependencies] aiohttp = ">=3.8.3,<4.0.0" async-timeout = {version = ">=4.0.0,<5.0.0", markers = "python_version < \"3.11\""} -langchain-core = ">=0.2.0,<0.3.0" +langchain-core = ">=0.2.6,<0.3.0" langchain-text-splitters = ">=0.2.0,<0.3.0" langsmith = ">=0.1.17,<0.2.0" -numpy = ">=1,<2" +numpy = [ + {version = ">=1,<2", markers = "python_version < \"3.12\""}, + {version = ">=1.26.0,<2.0.0", markers = "python_version >= \"3.12\""}, +] pydantic = ">=1,<3" PyYAML = ">=5.3" requests = ">=2,<3" @@ -4224,19 +4227,19 @@ tenacity = ">=8.1.0,<9.0.0" [[package]] name = "langchain-core" -version = "0.2.5" +version = "0.2.6" description = "Building applications with LLMs through composability" optional = false python-versions = "<4.0,>=3.8.1" files = [ - {file = "langchain_core-0.2.5-py3-none-any.whl", hash = "sha256:abe5138f22acff23a079ec538be5268bbf97cf023d51987a0dd474d2a16cae3e"}, - {file = "langchain_core-0.2.5.tar.gz", hash = "sha256:4a5c2f56b22396a63ef4790043660e393adbfa6832b978f023ca996a04b8e752"}, + {file = "langchain_core-0.2.6-py3-none-any.whl", hash = "sha256:90521c9fc95d8f925e0d2e2d952382676aea6d3f8de611eda1b1810874c31e5d"}, + {file = "langchain_core-0.2.6.tar.gz", hash = "sha256:9f0e38da722a558a6e95b6d86de01bd92e84558c47ac8ba599f02eab70a1c873"}, ] [package.dependencies] jsonpatch = ">=1.33,<2.0" -langsmith = ">=0.1.66,<0.2.0" -packaging = ">=23.2,<24.0" +langsmith = ">=0.1.75,<0.2.0" +packaging = ">=23.2,<25" pydantic = ">=1,<3" PyYAML = ">=5.3" tenacity = ">=8.1.0,<9.0.0" @@ -4409,7 +4412,7 @@ six = "*" [[package]] name = "langflow-base" -version = "0.0.63" +version = "0.0.68" description = "A Python package with a built-in web application" optional = false python-versions = ">=3.10,<3.13" @@ -4506,13 +4509,13 @@ requests = ">=2,<3" [[package]] name = "litellm" -version = "1.40.9" +version = "1.40.12" description = "Library to easily interface with LLM API providers" optional = false python-versions = "!=2.7.*,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,!=3.7.*,>=3.8" files = [ - {file = "litellm-1.40.9-py3-none-any.whl", hash = "sha256:8a4107b9cce114d822de52cbc9bce56f8edc6620f19d0f2257e71834715fb366"}, - {file = "litellm-1.40.9.tar.gz", hash = "sha256:e0ea07d0b55001a6f60bba2b2ecd72d1f0dca07e656f63937adfdf45f31e5ad7"}, + {file = "litellm-1.40.12-py3-none-any.whl", hash = "sha256:42f1648507f29c60543ba5fdf35d38fc161694da043b201508225bae50d3328c"}, + {file = "litellm-1.40.12.tar.gz", hash = "sha256:366bb9c3694b9ef59b3d073bb37ff9ca175ab4090dc187b0a11d2b21db3a6a5d"}, ] [package.dependencies] @@ -7850,13 +7853,13 @@ websockets = ">=11,<13" [[package]] name = "redis" -version = "5.0.5" +version = "5.0.6" description = "Python client for Redis database and key-value store" optional = true python-versions = ">=3.7" files = [ - {file = "redis-5.0.5-py3-none-any.whl", hash = "sha256:30b47d4ebb6b7a0b9b40c1275a19b87bb6f46b3bed82a89012cf56dea4024ada"}, - {file = "redis-5.0.5.tar.gz", hash = "sha256:3417688621acf6ee368dec4a04dd95881be24efd34c79f00d31f62bb528800ae"}, + {file = "redis-5.0.6-py3-none-any.whl", hash = "sha256:c0d6d990850c627bbf7be01c5c4cbaadf67b48593e913bb71c9819c30df37eee"}, + {file = "redis-5.0.6.tar.gz", hash = "sha256:38473cd7c6389ad3e44a91f4c3eaf6bcb8a9f746007f29bf4fb20824ff0b2197"}, ] [package.dependencies] diff --git a/pyproject.toml b/pyproject.toml index ee7630b6d..6435db14c 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "langflow" -version = "1.0.0a52" +version = "1.0.0a57" description = "A Python package with a built-in web application" authors = ["Langflow "] maintainers = [ diff --git a/src/backend/base/langflow/components/embeddings/AzureOpenAIEmbeddings.py b/src/backend/base/langflow/components/embeddings/AzureOpenAIEmbeddings.py index dd40d64d5..4fca09762 100644 --- a/src/backend/base/langflow/components/embeddings/AzureOpenAIEmbeddings.py +++ b/src/backend/base/langflow/components/embeddings/AzureOpenAIEmbeddings.py @@ -1,3 +1,4 @@ +from typing import Optional from langchain_core.embeddings import Embeddings from langchain_openai import AzureOpenAIEmbeddings from pydantic.v1 import SecretStr @@ -44,6 +45,11 @@ class AzureOpenAIEmbeddingsComponent(CustomComponent): "password": True, }, "code": {"show": False}, + "dimensions": { + "display_name": "Dimensions", + "info": "The number of dimensions the resulting output embeddings should have. Only supported by certain models.", + "advanced": True, + }, } def build( @@ -52,6 +58,7 @@ class AzureOpenAIEmbeddingsComponent(CustomComponent): azure_deployment: str, api_version: str, api_key: str, + dimensions: Optional[int] = None, ) -> Embeddings: if api_key: azure_api_key = SecretStr(api_key) @@ -63,6 +70,7 @@ class AzureOpenAIEmbeddingsComponent(CustomComponent): azure_deployment=azure_deployment, api_version=api_version, api_key=azure_api_key, + dimensions=dimensions, ) except Exception as e: diff --git a/src/backend/base/langflow/components/embeddings/OpenAIEmbeddings.py b/src/backend/base/langflow/components/embeddings/OpenAIEmbeddings.py index 2ff78d562..4813fc793 100644 --- a/src/backend/base/langflow/components/embeddings/OpenAIEmbeddings.py +++ b/src/backend/base/langflow/components/embeddings/OpenAIEmbeddings.py @@ -84,6 +84,11 @@ class OpenAIEmbeddingsComponent(CustomComponent): "advanced": True, }, "tiktoken_enable": {"display_name": "TikToken Enable", "advanced": True}, + "dimensions": { + "display_name": "Dimensions", + "info": "The number of dimensions the resulting output embeddings should have. Only supported by certain models.", + "advanced": True, + }, } def build( @@ -109,6 +114,7 @@ class OpenAIEmbeddingsComponent(CustomComponent): skip_empty: bool = False, tiktoken_enable: bool = True, tiktoken_model_name: Optional[str] = None, + dimensions: Optional[int] = None, ) -> Embeddings: # This is to avoid errors with Vector Stores (e.g Chroma) if disallowed_special == ["all"]: @@ -140,4 +146,5 @@ class OpenAIEmbeddingsComponent(CustomComponent): show_progress_bar=show_progress_bar, skip_empty=skip_empty, tiktoken_model_name=tiktoken_model_name, + dimensions=dimensions, ) diff --git a/src/backend/base/langflow/components/model_specs/ChatOpenAISpecs.py b/src/backend/base/langflow/components/model_specs/ChatOpenAISpecs.py index 7358762bc..76974a00f 100644 --- a/src/backend/base/langflow/components/model_specs/ChatOpenAISpecs.py +++ b/src/backend/base/langflow/components/model_specs/ChatOpenAISpecs.py @@ -53,7 +53,7 @@ class ChatOpenAIComponent(CustomComponent): self, max_tokens: Optional[int] = 0, model_kwargs: NestedDict = {}, - model_name: str = "gpt-4o", + model_name: str = "gpt-3.5-turbo", openai_api_base: Optional[str] = None, openai_api_key: Optional[str] = None, temperature: float = 0.7, diff --git a/src/backend/base/langflow/components/vectorsearch/AstraDBSearch.py b/src/backend/base/langflow/components/vectorsearch/AstraDBSearch.py index dfa4311da..3ea0c30c9 100644 --- a/src/backend/base/langflow/components/vectorsearch/AstraDBSearch.py +++ b/src/backend/base/langflow/components/vectorsearch/AstraDBSearch.py @@ -28,7 +28,7 @@ class AstraDBSearchComponent(LCVectorStoreComponent): "info": "The name of the collection within Astra DB where the vectors will be stored.", }, "token": { - "display_name": "Token", + "display_name": "Astra DB Application Token", "info": "Authentication token for accessing Astra DB.", "password": True, }, diff --git a/src/backend/base/langflow/components/vectorsearch/ChromaSearch.py b/src/backend/base/langflow/components/vectorsearch/ChromaSearch.py index 6ea230a1d..475d67a17 100644 --- a/src/backend/base/langflow/components/vectorsearch/ChromaSearch.py +++ b/src/backend/base/langflow/components/vectorsearch/ChromaSearch.py @@ -3,7 +3,6 @@ from typing import List, Optional import chromadb from chromadb.config import Settings from langchain_chroma import Chroma - from langflow.components.vectorstores.base.model import LCVectorStoreComponent from langflow.field_typing import Embeddings, Text from langflow.schema import Data @@ -104,10 +103,11 @@ class ChromaSearchComponent(LCVectorStoreComponent): client = chromadb.HttpClient(settings=chroma_settings) if index_directory: index_directory = self.resolve_path(index_directory) + vector_store = Chroma( embedding_function=embedding, collection_name=collection_name, - persist_directory=index_directory, + persist_directory=index_directory or None, client=client, ) diff --git a/src/backend/base/langflow/components/vectorstores/AstraDB.py b/src/backend/base/langflow/components/vectorstores/AstraDB.py index 1a97297c8..3b1df1d38 100644 --- a/src/backend/base/langflow/components/vectorstores/AstraDB.py +++ b/src/backend/base/langflow/components/vectorstores/AstraDB.py @@ -25,7 +25,7 @@ class AstraDBVectorStoreComponent(CustomComponent): "info": "The name of the collection within Astra DB where the vectors will be stored.", }, "token": { - "display_name": "Token", + "display_name": "Astra DB Application Token", "info": "Authentication token for accessing Astra DB.", "password": True, }, diff --git a/src/backend/base/langflow/graph/utils.py b/src/backend/base/langflow/graph/utils.py index 83e2177b1..332545caf 100644 --- a/src/backend/base/langflow/graph/utils.py +++ b/src/backend/base/langflow/graph/utils.py @@ -1,9 +1,11 @@ -from typing import Any, Union +from enum import Enum +from typing import Any, Generator, Union from langchain_core.documents import Document from pydantic import BaseModel from langflow.interface.utils import extract_input_variables_from_prompt +from langflow.schema.message import Message class UnbuiltObject: @@ -14,6 +16,16 @@ class UnbuiltResult: pass +class ArtifactType(str, Enum): + TEXT = "text" + RECORD = "record" + OBJECT = "object" + ARRAY = "array" + STREAM = "stream" + UNKNOWN = "unknown" + MESSAGE = "message" + + def validate_prompt(prompt: str): """Validate prompt.""" if extract_input_variables_from_prompt(prompt): @@ -50,3 +62,37 @@ def serialize_field(value): elif isinstance(value, str): return {"result": value} return value + + +def get_artifact_type(value, build_result) -> str: + result = ArtifactType.UNKNOWN + match value: + case Record(): + result = ArtifactType.RECORD + + case str(): + result = ArtifactType.TEXT + + case dict(): + result = ArtifactType.OBJECT + + case list(): + result = ArtifactType.ARRAY + + case Message(): + result = ArtifactType.MESSAGE + + if result == ArtifactType.UNKNOWN: + if isinstance(build_result, Generator): + result = ArtifactType.STREAM + elif isinstance(value, Message) and isinstance(value.text, Generator): + result = ArtifactType.STREAM + + return result.value + + +def post_process_raw(raw, artifact_type: str): + if artifact_type == ArtifactType.STREAM.value: + raw = "" + + return raw diff --git a/src/backend/base/langflow/initial_setup/setup.py b/src/backend/base/langflow/initial_setup/setup.py index 359bd2f21..1b956f71d 100644 --- a/src/backend/base/langflow/initial_setup/setup.py +++ b/src/backend/base/langflow/initial_setup/setup.py @@ -181,6 +181,9 @@ def update_new_output(data): } ) deduplicated_outputs = [] + if source_node is None: + source_node = {"data": {"node": {"outputs": []}}} + for output in source_node["data"]["node"]["outputs"]: if output["name"] not in [d["name"] for d in deduplicated_outputs]: deduplicated_outputs.append(output) diff --git a/src/backend/base/langflow/initial_setup/starter_projects/Basic Prompting (Hello, world!).json b/src/backend/base/langflow/initial_setup/starter_projects/Basic Prompting (Hello, world!).json index 6814f9c30..283249015 100644 --- a/src/backend/base/langflow/initial_setup/starter_projects/Basic Prompting (Hello, world!).json +++ b/src/backend/base/langflow/initial_setup/starter_projects/Basic Prompting (Hello, world!).json @@ -8,17 +8,12 @@ "dataType": "OpenAIModel", "id": "OpenAIModel-k39HS", "name": "text_output", - "output_types": [ - "Text" - ] + "output_types": ["Text"] }, "targetHandle": { "fieldName": "input_value", "id": "ChatOutput-njtka", - "inputTypes": [ - "Text", - "Message" - ], + "inputTypes": ["Text", "Message"], "type": "str" } }, @@ -38,18 +33,12 @@ "dataType": "Prompt", "id": "Prompt-uxBqP", "name": "prompt", - "output_types": [ - "Prompt" - ] + "output_types": ["Prompt"] }, "targetHandle": { "fieldName": "input_value", "id": "OpenAIModel-k39HS", - "inputTypes": [ - "Text", - "Data", - "Prompt" - ], + "inputTypes": ["Text", "Data", "Prompt"], "type": "str" } }, @@ -69,19 +58,12 @@ "dataType": "ChatInput", "id": "ChatInput-P3fgL", "name": "message", - "output_types": [ - "Message" - ] + "output_types": ["Message"] }, "targetHandle": { "fieldName": "user_input", "id": "Prompt-uxBqP", - "inputTypes": [ - "Document", - "Message", - "Record", - "Text" - ], + "inputTypes": ["Document", "Message", "Record", "Text"], "type": "str" } }, @@ -102,16 +84,10 @@ "display_name": "Prompt", "id": "Prompt-uxBqP", "node": { - "base_classes": [ - "object", - "str", - "Text" - ], + "base_classes": ["object", "str", "Text"], "beta": false, "custom_fields": { - "template": [ - "user_input" - ] + "template": ["user_input"] }, "description": "Create a prompt template with dynamic variables.", "display_name": "Prompt", @@ -134,9 +110,7 @@ "method": "build_prompt", "name": "prompt", "selected": "Prompt", - "types": [ - "Prompt" - ], + "types": ["Prompt"], "value": "__UNDEFINED__" }, { @@ -145,9 +119,7 @@ "method": "format_prompt", "name": "text", "selected": "Text", - "types": [ - "Text" - ], + "types": ["Text"], "value": "__UNDEFINED__" } ], @@ -178,9 +150,7 @@ "fileTypes": [], "file_path": "", "info": "", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": false, "multiline": false, @@ -201,12 +171,7 @@ "fileTypes": [], "file_path": "", "info": "", - "input_types": [ - "Document", - "Message", - "Record", - "Text" - ], + "input_types": ["Document", "Message", "Record", "Text"], "list": false, "load_from_db": false, "multiline": true, @@ -244,11 +209,7 @@ "display_name": "OpenAI", "id": "OpenAIModel-k39HS", "node": { - "base_classes": [ - "object", - "Text", - "str" - ], + "base_classes": ["object", "Text", "str"], "beta": false, "custom_fields": { "input_value": null, @@ -286,9 +247,7 @@ "method": "text_response", "name": "text_output", "selected": "Text", - "types": [ - "Text" - ], + "types": ["Text"], "value": "__UNDEFINED__" }, { @@ -297,9 +256,7 @@ "method": "build_model", "name": "model_output", "selected": "BaseLanguageModel", - "types": [ - "BaseLanguageModel" - ], + "types": ["BaseLanguageModel"], "value": "__UNDEFINED__" } ], @@ -330,11 +287,7 @@ "fileTypes": [], "file_path": "", "info": "", - "input_types": [ - "Text", - "Data", - "Prompt" - ], + "input_types": ["Text", "Data", "Prompt"], "list": false, "load_from_db": false, "multiline": false, @@ -354,9 +307,7 @@ "fileTypes": [], "file_path": "", "info": "The maximum number of tokens to generate. Set to 0 for unlimited tokens.", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": false, "multiline": false, @@ -376,9 +327,7 @@ "fileTypes": [], "file_path": "", "info": "", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": false, "multiline": false, @@ -398,9 +347,7 @@ "fileTypes": [], "file_path": "", "info": "", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": true, "load_from_db": false, "multiline": false, @@ -418,7 +365,7 @@ "show": true, "title_case": false, "type": "str", - "value": "gpt-4o" + "value": "gpt-3.5-turbo" }, "openai_api_base": { "advanced": true, @@ -427,9 +374,7 @@ "fileTypes": [], "file_path": "", "info": "The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\n\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": false, "multiline": false, @@ -449,9 +394,7 @@ "fileTypes": [], "file_path": "", "info": "The OpenAI API Key to use for the OpenAI model.", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": true, "multiline": false, @@ -471,9 +414,7 @@ "fileTypes": [], "file_path": "", "info": "Stream the response from the model. Streaming works only in Chat.", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": false, "multiline": false, @@ -493,9 +434,7 @@ "fileTypes": [], "file_path": "", "info": "System message to pass to the model.", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": false, "multiline": false, @@ -515,9 +454,7 @@ "fileTypes": [], "file_path": "", "info": "", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": false, "multiline": false, @@ -553,12 +490,7 @@ "data": { "id": "ChatOutput-njtka", "node": { - "base_classes": [ - "Record", - "Text", - "str", - "object" - ], + "base_classes": ["Record", "Text", "str", "object"], "beta": false, "custom_fields": { "input_value": null, @@ -583,9 +515,7 @@ "method": "message_response", "name": "message", "selected": "Message", - "types": [ - "Message" - ], + "types": ["Message"], "value": "__UNDEFINED__" } ], @@ -616,10 +546,7 @@ "fileTypes": [], "file_path": "", "info": "Message to be passed as output.", - "input_types": [ - "Text", - "Message" - ], + "input_types": ["Text", "Message"], "list": false, "load_from_db": false, "multiline": true, @@ -639,17 +566,12 @@ "fileTypes": [], "file_path": "", "info": "Type of sender.", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": true, "load_from_db": false, "multiline": false, "name": "sender", - "options": [ - "Machine", - "User" - ], + "options": ["Machine", "User"], "password": false, "placeholder": "", "required": false, @@ -665,9 +587,7 @@ "fileTypes": [], "file_path": "", "info": "Name of the sender.", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": false, "multiline": false, @@ -687,9 +607,7 @@ "fileTypes": [], "file_path": "", "info": "Session ID for the message.", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": false, "multiline": false, @@ -725,12 +643,7 @@ "data": { "id": "ChatInput-P3fgL", "node": { - "base_classes": [ - "object", - "Record", - "str", - "Text" - ], + "base_classes": ["object", "Record", "str", "Text"], "beta": false, "custom_fields": { "input_value": null, @@ -754,9 +667,7 @@ "method": "message_response", "name": "message", "selected": "Message", - "types": [ - "Message" - ], + "types": ["Message"], "value": "__UNDEFINED__" } ], @@ -807,17 +718,12 @@ "fileTypes": [], "file_path": "", "info": "Type of sender.", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": true, "load_from_db": false, "multiline": false, "name": "sender", - "options": [ - "Machine", - "User" - ], + "options": ["Machine", "User"], "password": false, "placeholder": "", "required": false, @@ -833,9 +739,7 @@ "fileTypes": [], "file_path": "", "info": "Name of the sender.", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": false, "multiline": false, @@ -855,9 +759,7 @@ "fileTypes": [], "file_path": "", "info": "Session ID for the message.", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": false, "multiline": false, @@ -901,4 +803,4 @@ "is_component": false, "last_tested_version": "1.0.0a4", "name": "Basic Prompting (Hello, World)" -} \ No newline at end of file +} diff --git a/src/backend/base/langflow/initial_setup/starter_projects/Langflow Blog Writter.json b/src/backend/base/langflow/initial_setup/starter_projects/Langflow Blog Writter.json index 7e92c3d0b..24b77b849 100644 --- a/src/backend/base/langflow/initial_setup/starter_projects/Langflow Blog Writter.json +++ b/src/backend/base/langflow/initial_setup/starter_projects/Langflow Blog Writter.json @@ -13,12 +13,7 @@ "targetHandle": { "fieldName": "reference_2", "id": "Prompt-Rse03", - "inputTypes": [ - "Document", - "BaseOutputParser", - "Record", - "Text" - ], + "inputTypes": ["Document", "BaseOutputParser", "Record", "Text"], "type": "str" } }, @@ -39,17 +34,12 @@ "dataType": "OpenAIModel", "id": "OpenAIModel-gi29P", "name": "text_output", - "output_types": [ - "Text" - ] + "output_types": ["Text"] }, "targetHandle": { "fieldName": "input_value", "id": "ChatOutput-JPlxl", - "inputTypes": [ - "Text", - "Message" - ], + "inputTypes": ["Text", "Message"], "type": "str" } }, @@ -74,12 +64,7 @@ "targetHandle": { "fieldName": "reference_1", "id": "Prompt-Rse03", - "inputTypes": [ - "Document", - "BaseOutputParser", - "Record", - "Text" - ], + "inputTypes": ["Document", "BaseOutputParser", "Record", "Text"], "type": "str" } }, @@ -99,19 +84,12 @@ "dataType": "TextInput", "id": "TextInput-og8Or", "name": "Text", - "output_types": [ - "Text" - ] + "output_types": ["Text"] }, "targetHandle": { "fieldName": "instructions", "id": "Prompt-Rse03", - "inputTypes": [ - "Document", - "BaseOutputParser", - "Record", - "Text" - ], + "inputTypes": ["Document", "BaseOutputParser", "Record", "Text"], "type": "str" } }, @@ -131,18 +109,12 @@ "dataType": "Prompt", "id": "Prompt-Rse03", "name": "prompt", - "output_types": [ - "Prompt" - ] + "output_types": ["Prompt"] }, "targetHandle": { "fieldName": "input_value", "id": "OpenAIModel-gi29P", - "inputTypes": [ - "Text", - "Data", - "Prompt" - ], + "inputTypes": ["Text", "Data", "Prompt"], "type": "str" } }, @@ -164,18 +136,10 @@ "display_name": "Prompt", "id": "Prompt-Rse03", "node": { - "base_classes": [ - "object", - "Text", - "str" - ], + "base_classes": ["object", "Text", "str"], "beta": false, "custom_fields": { - "template": [ - "reference_1", - "reference_2", - "instructions" - ] + "template": ["reference_1", "reference_2", "instructions"] }, "description": "Create a prompt template with dynamic variables.", "display_name": "Prompt", @@ -198,9 +162,7 @@ "method": "build_prompt", "name": "prompt", "selected": "Prompt", - "types": [ - "Prompt" - ], + "types": ["Prompt"], "value": "__UNDEFINED__" }, { @@ -209,9 +171,7 @@ "method": "format_prompt", "name": "text", "selected": "Text", - "types": [ - "Text" - ], + "types": ["Text"], "value": "__UNDEFINED__" } ], @@ -320,9 +280,7 @@ "fileTypes": [], "file_path": "", "info": "", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": false, "multiline": false, @@ -358,9 +316,7 @@ "data": { "id": "URL-HYPkR", "node": { - "base_classes": [ - "Record" - ], + "base_classes": ["Record"], "beta": false, "custom_fields": { "urls": null @@ -380,9 +336,7 @@ "method": "fetch_content", "name": "data", "selected": "Data", - "types": [ - "Data" - ], + "types": ["Data"], "value": "__UNDEFINED__" } ], @@ -404,7 +358,7 @@ "show": true, "title_case": false, "type": "code", - "value": "from langchain_community.document_loaders.web_base import WebBaseLoader\n\nfrom langflow.custom import Component\nfrom langflow.inputs import StrInput\nfrom langflow.schema import Data\nfrom langflow.template import Output\n\n\nclass URLComponent(Component):\n display_name = \"URL\"\n description = \"Fetch content from one or more URLs.\"\n icon = \"layout-template\"\n\n inputs = [\n StrInput(\n name=\"urls\",\n display_name=\"URLs\",\n info=\"Enter one or more URLs, separated by commas.\",\n value=\"\",\n is_list=True,\n ),\n ]\n\n outputs = [\n Output(display_name=\"Data\", name=\"data\", method=\"fetch_content\"),\n ]\n\n def fetch_content(self) -> Data:\n urls = [url.strip() for url in self.urls if url.strip()]\n loader = WebBaseLoader(web_paths=urls)\n docs = loader.load()\n data = [Data(content=doc.page_content, **doc.metadata) for doc in docs]\n self.status = data\n return data\n" + "value": "from langchain_community.document_loaders.web_base import WebBaseLoader\n\nfrom langflow.custom import Component\nfrom langflow.inputs import StrInput\nfrom langflow.schema import Data\nfrom langflow.template import Output\n\nimport re\n\n\nclass URLComponent(Component):\n display_name = \"URL\"\n description = \"Fetch content from one or more URLs.\"\n icon = \"layout-template\"\n\n inputs = [\n StrInput(\n name=\"urls\",\n display_name=\"URLs\",\n info=\"Enter one or more URLs, separated by commas.\",\n value=\"\",\n is_list=True,\n ),\n ]\n\n outputs = [\n Output(display_name=\"Data\", name=\"data\", method=\"fetch_content\"),\n ]\n\n def ensure_url(self, string: str) -> str:\n \"\"\"\n Ensures the given string is a URL by adding 'http://' if it doesn't start with 'http://' or 'https://'.\n Raises an error if the string is not a valid URL.\n\n Parameters:\n string (str): The string to be checked and possibly modified.\n\n Returns:\n str: The modified string that is ensured to be a URL.\n\n Raises:\n ValueError: If the string is not a valid URL.\n \"\"\"\n if not string.startswith((\"http://\", \"https://\")):\n string = \"http://\" + string\n\n # Basic URL validation regex\n url_regex = re.compile(\n r\"^(http://|https://)?\" # http:// or https://\n r\"(([a-zA-Z0-9\\.-]+)\" # domain\n r\"(\\.[a-zA-Z]{2,}))\" # top-level domain\n r\"(:[0-9]{1,5})?\" # optional port\n r\"(\\/.*)?$\" # optional path\n )\n\n if not re.match(url_regex, string):\n raise ValueError(f\"Invalid URL: {string}\")\n\n return string\n\n def fetch_content(self) -> Data:\n urls = [self.ensure_url(url.strip()) for url in self.urls if url.strip()]\n loader = WebBaseLoader(web_paths=urls)\n docs = loader.load()\n data = [Data(content=doc.page_content, **doc.metadata) for doc in docs]\n self.status = data\n return data\n" }, "urls": { "advanced": false, @@ -444,12 +398,7 @@ "data": { "id": "ChatOutput-JPlxl", "node": { - "base_classes": [ - "Text", - "Record", - "object", - "str" - ], + "base_classes": ["Text", "Record", "object", "str"], "beta": false, "custom_fields": { "input_value": null, @@ -474,9 +423,7 @@ "method": "message_response", "name": "message", "selected": "Message", - "types": [ - "Message" - ], + "types": ["Message"], "value": "__UNDEFINED__" } ], @@ -507,10 +454,7 @@ "fileTypes": [], "file_path": "", "info": "Message to be passed as output.", - "input_types": [ - "Text", - "Message" - ], + "input_types": ["Text", "Message"], "list": false, "load_from_db": false, "multiline": true, @@ -530,17 +474,12 @@ "fileTypes": [], "file_path": "", "info": "Type of sender.", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": true, "load_from_db": false, "multiline": false, "name": "sender", - "options": [ - "Machine", - "User" - ], + "options": ["Machine", "User"], "password": false, "placeholder": "", "required": false, @@ -556,9 +495,7 @@ "fileTypes": [], "file_path": "", "info": "Name of the sender.", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": false, "multiline": false, @@ -578,9 +515,7 @@ "fileTypes": [], "file_path": "", "info": "Session ID for the message.", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": false, "multiline": false, @@ -611,11 +546,7 @@ "data": { "id": "OpenAIModel-gi29P", "node": { - "base_classes": [ - "str", - "Text", - "object" - ], + "base_classes": ["str", "Text", "object"], "beta": false, "custom_fields": { "input_value": null, @@ -653,9 +584,7 @@ "method": "text_response", "name": "text_output", "selected": "Text", - "types": [ - "Text" - ], + "types": ["Text"], "value": "__UNDEFINED__" }, { @@ -664,9 +593,7 @@ "method": "build_model", "name": "model_output", "selected": "BaseLanguageModel", - "types": [ - "BaseLanguageModel" - ], + "types": ["BaseLanguageModel"], "value": "__UNDEFINED__" } ], @@ -697,11 +624,7 @@ "fileTypes": [], "file_path": "", "info": "", - "input_types": [ - "Text", - "Data", - "Prompt" - ], + "input_types": ["Text", "Data", "Prompt"], "list": false, "load_from_db": false, "multiline": false, @@ -721,9 +644,7 @@ "fileTypes": [], "file_path": "", "info": "The maximum number of tokens to generate. Set to 0 for unlimited tokens.", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": false, "multiline": false, @@ -743,9 +664,7 @@ "fileTypes": [], "file_path": "", "info": "", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": false, "multiline": false, @@ -765,9 +684,7 @@ "fileTypes": [], "file_path": "", "info": "", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": true, "load_from_db": false, "multiline": false, @@ -785,7 +702,7 @@ "show": true, "title_case": false, "type": "str", - "value": "gpt-4o" + "value": "gpt-3.5-turbo" }, "openai_api_base": { "advanced": true, @@ -794,9 +711,7 @@ "fileTypes": [], "file_path": "", "info": "The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\n\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": false, "multiline": false, @@ -816,9 +731,7 @@ "fileTypes": [], "file_path": "", "info": "The OpenAI API Key to use for the OpenAI model.", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": true, "multiline": false, @@ -838,9 +751,7 @@ "fileTypes": [], "file_path": "", "info": "Stream the response from the model. Streaming works only in Chat.", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": false, "multiline": false, @@ -860,9 +771,7 @@ "fileTypes": [], "file_path": "", "info": "System message to pass to the model.", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": false, "multiline": false, @@ -882,9 +791,7 @@ "fileTypes": [], "file_path": "", "info": "", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": false, "multiline": false, @@ -920,9 +827,7 @@ "data": { "id": "URL-2cX90", "node": { - "base_classes": [ - "Record" - ], + "base_classes": ["Record"], "beta": false, "custom_fields": { "urls": null @@ -942,9 +847,7 @@ "method": "fetch_content", "name": "data", "selected": "Data", - "types": [ - "Data" - ], + "types": ["Data"], "value": "__UNDEFINED__" } ], @@ -966,7 +869,7 @@ "show": true, "title_case": false, "type": "code", - "value": "from langchain_community.document_loaders.web_base import WebBaseLoader\n\nfrom langflow.custom import Component\nfrom langflow.inputs import StrInput\nfrom langflow.schema import Data\nfrom langflow.template import Output\n\n\nclass URLComponent(Component):\n display_name = \"URL\"\n description = \"Fetch content from one or more URLs.\"\n icon = \"layout-template\"\n\n inputs = [\n StrInput(\n name=\"urls\",\n display_name=\"URLs\",\n info=\"Enter one or more URLs, separated by commas.\",\n value=\"\",\n is_list=True,\n ),\n ]\n\n outputs = [\n Output(display_name=\"Data\", name=\"data\", method=\"fetch_content\"),\n ]\n\n def fetch_content(self) -> Data:\n urls = [url.strip() for url in self.urls if url.strip()]\n loader = WebBaseLoader(web_paths=urls)\n docs = loader.load()\n data = [Data(content=doc.page_content, **doc.metadata) for doc in docs]\n self.status = data\n return data\n" + "value": "from langchain_community.document_loaders.web_base import WebBaseLoader\n\nfrom langflow.custom import Component\nfrom langflow.inputs import StrInput\nfrom langflow.schema import Data\nfrom langflow.template import Output\n\nimport re\n\n\nclass URLComponent(Component):\n display_name = \"URL\"\n description = \"Fetch content from one or more URLs.\"\n icon = \"layout-template\"\n\n inputs = [\n StrInput(\n name=\"urls\",\n display_name=\"URLs\",\n info=\"Enter one or more URLs, separated by commas.\",\n value=\"\",\n is_list=True,\n ),\n ]\n\n outputs = [\n Output(display_name=\"Data\", name=\"data\", method=\"fetch_content\"),\n ]\n\n def ensure_url(self, string: str) -> str:\n \"\"\"\n Ensures the given string is a URL by adding 'http://' if it doesn't start with 'http://' or 'https://'.\n Raises an error if the string is not a valid URL.\n\n Parameters:\n string (str): The string to be checked and possibly modified.\n\n Returns:\n str: The modified string that is ensured to be a URL.\n\n Raises:\n ValueError: If the string is not a valid URL.\n \"\"\"\n if not string.startswith((\"http://\", \"https://\")):\n string = \"http://\" + string\n\n # Basic URL validation regex\n url_regex = re.compile(\n r\"^(http://|https://)?\" # http:// or https://\n r\"(([a-zA-Z0-9\\.-]+)\" # domain\n r\"(\\.[a-zA-Z]{2,}))\" # top-level domain\n r\"(:[0-9]{1,5})?\" # optional port\n r\"(\\/.*)?$\" # optional path\n )\n\n if not re.match(url_regex, string):\n raise ValueError(f\"Invalid URL: {string}\")\n\n return string\n\n def fetch_content(self) -> Data:\n urls = [self.ensure_url(url.strip()) for url in self.urls if url.strip()]\n loader = WebBaseLoader(web_paths=urls)\n docs = loader.load()\n data = [Data(content=doc.page_content, **doc.metadata) for doc in docs]\n self.status = data\n return data\n" }, "urls": { "advanced": false, @@ -1006,11 +909,7 @@ "data": { "id": "TextInput-og8Or", "node": { - "base_classes": [ - "object", - "Text", - "str" - ], + "base_classes": ["object", "Text", "str"], "beta": false, "custom_fields": { "input_value": null, @@ -1023,16 +922,12 @@ "field_order": [], "frozen": false, "icon": "type", - "output_types": [ - "Text" - ], + "output_types": ["Text"], "outputs": [ { "name": "Text", "selected": "Text", - "types": [ - "Text" - ] + "types": ["Text"] } ], "template": { @@ -1062,10 +957,7 @@ "fileTypes": [], "file_path": "", "info": "Text or Record to be passed as input.", - "input_types": [ - "Record", - "Text" - ], + "input_types": ["Record", "Text"], "list": false, "load_from_db": false, "multiline": false, @@ -1085,9 +977,7 @@ "fileTypes": [], "file_path": "", "info": "Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": false, "multiline": true, @@ -1131,4 +1021,4 @@ "is_component": false, "last_tested_version": "1.0.0a0", "name": "Blog Writer" -} \ No newline at end of file +} diff --git a/src/backend/base/langflow/initial_setup/starter_projects/Langflow Document QA.json b/src/backend/base/langflow/initial_setup/starter_projects/Langflow Document QA.json index da9e2031d..48b474fc0 100644 --- a/src/backend/base/langflow/initial_setup/starter_projects/Langflow Document QA.json +++ b/src/backend/base/langflow/initial_setup/starter_projects/Langflow Document QA.json @@ -7,19 +7,12 @@ "dataType": "File", "id": "File-BzIs2", "name": "data", - "output_types": [ - "Data" - ] + "output_types": ["Data"] }, "targetHandle": { "fieldName": "Document", "id": "Prompt-9DNZG", - "inputTypes": [ - "Document", - "Message", - "Data", - "Text" - ], + "inputTypes": ["Document", "Message", "Data", "Text"], "type": "str" } }, @@ -35,19 +28,12 @@ "dataType": "ChatInput", "id": "ChatInput-27Usy", "name": "message", - "output_types": [ - "Message" - ] + "output_types": ["Message"] }, "targetHandle": { "fieldName": "Question", "id": "Prompt-9DNZG", - "inputTypes": [ - "Document", - "Message", - "Data", - "Text" - ], + "inputTypes": ["Document", "Message", "Data", "Text"], "type": "str" } }, @@ -63,18 +49,12 @@ "dataType": "Prompt", "id": "Prompt-9DNZG", "name": "prompt", - "output_types": [ - "Prompt" - ] + "output_types": ["Prompt"] }, "targetHandle": { "fieldName": "input_value", "id": "OpenAIModel-8b6nG", - "inputTypes": [ - "Text", - "Data", - "Prompt" - ], + "inputTypes": ["Text", "Data", "Prompt"], "type": "str" } }, @@ -90,17 +70,12 @@ "dataType": "OpenAIModel", "id": "OpenAIModel-8b6nG", "name": "text_output", - "output_types": [ - "Text" - ] + "output_types": ["Text"] }, "targetHandle": { "fieldName": "input_value", "id": "ChatOutput-y4SCS", - "inputTypes": [ - "Text", - "Message" - ], + "inputTypes": ["Text", "Message"], "type": "str" } }, @@ -118,18 +93,11 @@ "display_name": "Prompt", "id": "Prompt-9DNZG", "node": { - "base_classes": [ - "object", - "str", - "Text" - ], + "base_classes": ["object", "str", "Text"], "beta": false, "conditional_paths": [], "custom_fields": { - "template": [ - "Document", - "Question" - ] + "template": ["Document", "Question"] }, "description": "Create a prompt template with dynamic variables.", "display_name": "Prompt", @@ -151,9 +119,7 @@ "method": "build_prompt", "name": "prompt", "selected": "Prompt", - "types": [ - "Prompt" - ], + "types": ["Prompt"], "value": "__UNDEFINED__" }, { @@ -162,9 +128,7 @@ "method": "format_prompt", "name": "text", "selected": "Text", - "types": [ - "Text" - ], + "types": ["Text"], "value": "__UNDEFINED__" } ], @@ -178,12 +142,7 @@ "fileTypes": [], "file_path": "", "info": "", - "input_types": [ - "Document", - "Message", - "Data", - "Text" - ], + "input_types": ["Document", "Message", "Data", "Text"], "list": false, "load_from_db": false, "multiline": true, @@ -204,12 +163,7 @@ "fileTypes": [], "file_path": "", "info": "", - "input_types": [ - "Document", - "Message", - "Data", - "Text" - ], + "input_types": ["Document", "Message", "Data", "Text"], "list": false, "load_from_db": false, "multiline": true, @@ -248,9 +202,7 @@ "fileTypes": [], "file_path": "", "info": "", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": false, "multiline": false, @@ -286,12 +238,7 @@ "data": { "id": "ChatInput-27Usy", "node": { - "base_classes": [ - "str", - "Record", - "Text", - "object" - ], + "base_classes": ["str", "Record", "Text", "object"], "beta": false, "custom_fields": { "input_value": null, @@ -315,9 +262,7 @@ "method": "message_response", "name": "message", "selected": "Message", - "types": [ - "Message" - ], + "types": ["Message"], "value": "__UNDEFINED__" } ], @@ -368,17 +313,12 @@ "fileTypes": [], "file_path": "", "info": "Type of sender.", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": true, "load_from_db": false, "multiline": false, "name": "sender", - "options": [ - "Machine", - "User" - ], + "options": ["Machine", "User"], "password": false, "placeholder": "", "required": false, @@ -394,9 +334,7 @@ "fileTypes": [], "file_path": "", "info": "Name of the sender.", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": false, "multiline": false, @@ -416,9 +354,7 @@ "fileTypes": [], "file_path": "", "info": "Session ID for the message.", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": false, "multiline": false, @@ -454,12 +390,7 @@ "data": { "id": "ChatOutput-y4SCS", "node": { - "base_classes": [ - "str", - "Record", - "Text", - "object" - ], + "base_classes": ["str", "Record", "Text", "object"], "beta": false, "custom_fields": { "input_value": null, @@ -483,9 +414,7 @@ "method": "message_response", "name": "message", "selected": "Message", - "types": [ - "Message" - ], + "types": ["Message"], "value": "__UNDEFINED__" } ], @@ -516,10 +445,7 @@ "fileTypes": [], "file_path": "", "info": "Message to be passed as output.", - "input_types": [ - "Text", - "Message" - ], + "input_types": ["Text", "Message"], "list": false, "load_from_db": false, "multiline": true, @@ -539,17 +465,12 @@ "fileTypes": [], "file_path": "", "info": "Type of sender.", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": true, "load_from_db": false, "multiline": false, "name": "sender", - "options": [ - "Machine", - "User" - ], + "options": ["Machine", "User"], "password": false, "placeholder": "", "required": false, @@ -565,9 +486,7 @@ "fileTypes": [], "file_path": "", "info": "Name of the sender.", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": false, "multiline": false, @@ -587,9 +506,7 @@ "fileTypes": [], "file_path": "", "info": "Session ID for the message.", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": false, "multiline": false, @@ -627,9 +544,7 @@ "display_name": "File", "id": "File-BzIs2", "node": { - "base_classes": [ - "Data" - ], + "base_classes": ["Data"], "beta": false, "conditional_paths": [], "custom_fields": {}, @@ -637,10 +552,7 @@ "display_name": "File", "documentation": "", "edited": true, - "field_order": [ - "path", - "silent_errors" - ], + "field_order": ["path", "silent_errors"], "frozen": false, "icon": "file-text", "output_types": [], @@ -651,9 +563,7 @@ "method": "load_file", "name": "data", "selected": "Data", - "types": [ - "Data" - ], + "types": ["Data"], "value": "__UNDEFINED__" } ], @@ -750,10 +660,7 @@ "data": { "id": "OpenAIModel-8b6nG", "node": { - "base_classes": [ - "BaseLanguageModel", - "Text" - ], + "base_classes": ["BaseLanguageModel", "Text"], "beta": false, "conditional_paths": [], "custom_fields": {}, @@ -781,9 +688,7 @@ "method": "text_response", "name": "text_output", "selected": "Text", - "types": [ - "Text" - ], + "types": ["Text"], "value": "__UNDEFINED__" }, { @@ -792,9 +697,7 @@ "method": "build_model", "name": "model_output", "selected": "BaseLanguageModel", - "types": [ - "BaseLanguageModel" - ], + "types": ["BaseLanguageModel"], "value": "__UNDEFINED__" } ], @@ -824,11 +727,7 @@ "display_name": "Input", "dynamic": false, "info": "", - "input_types": [ - "Text", - "Data", - "Prompt" - ], + "input_types": ["Text", "Data", "Prompt"], "list": false, "load_from_db": false, "name": "input_value", @@ -883,7 +782,7 @@ "show": true, "title_case": false, "type": "str", - "value": "gpt-4o" + "value": "gpt-3.5-turbo" }, "openai_api_base": { "advanced": true, @@ -905,9 +804,7 @@ "display_name": "OpenAI API Key", "dynamic": false, "info": "The OpenAI API Key to use for the OpenAI model.", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "load_from_db": true, "name": "openai_api_key", "password": true, @@ -992,4 +889,4 @@ "is_component": false, "last_tested_version": "1.0.0a52", "name": "Document QA" -} \ No newline at end of file +} diff --git a/src/backend/base/langflow/initial_setup/starter_projects/Langflow Memory Conversation.json b/src/backend/base/langflow/initial_setup/starter_projects/Langflow Memory Conversation.json index dc5fe03b8..f8617e1ae 100644 --- a/src/backend/base/langflow/initial_setup/starter_projects/Langflow Memory Conversation.json +++ b/src/backend/base/langflow/initial_setup/starter_projects/Langflow Memory Conversation.json @@ -8,19 +8,12 @@ "dataType": "MemoryComponent", "id": "MemoryComponent-cdA1J", "name": "text", - "output_types": [ - "Text" - ] + "output_types": ["Text"] }, "targetHandle": { "fieldName": "context", "id": "Prompt-ODkUx", - "inputTypes": [ - "Document", - "Message", - "Record", - "Text" - ], + "inputTypes": ["Document", "Message", "Record", "Text"], "type": "str" } }, @@ -41,19 +34,12 @@ "dataType": "ChatInput", "id": "ChatInput-t7F8v", "name": "message", - "output_types": [ - "Message" - ] + "output_types": ["Message"] }, "targetHandle": { "fieldName": "user_message", "id": "Prompt-ODkUx", - "inputTypes": [ - "Document", - "Message", - "Record", - "Text" - ], + "inputTypes": ["Document", "Message", "Record", "Text"], "type": "str" } }, @@ -74,18 +60,12 @@ "dataType": "Prompt", "id": "Prompt-ODkUx", "name": "prompt", - "output_types": [ - "Prompt" - ] + "output_types": ["Prompt"] }, "targetHandle": { "fieldName": "input_value", "id": "OpenAIModel-9RykF", - "inputTypes": [ - "Text", - "Data", - "Prompt" - ], + "inputTypes": ["Text", "Data", "Prompt"], "type": "str" } }, @@ -105,17 +85,12 @@ "dataType": "OpenAIModel", "id": "OpenAIModel-9RykF", "name": "text_output", - "output_types": [ - "Text" - ] + "output_types": ["Text"] }, "targetHandle": { "fieldName": "input_value", "id": "ChatOutput-P1jEe", - "inputTypes": [ - "Text", - "Message" - ], + "inputTypes": ["Text", "Message"], "type": "str" } }, @@ -135,17 +110,12 @@ "dataType": "MemoryComponent", "id": "MemoryComponent-cdA1J", "name": "text", - "output_types": [ - "Text" - ] + "output_types": ["Text"] }, "targetHandle": { "fieldName": "input_value", "id": "TextOutput-vrs6T", - "inputTypes": [ - "Record", - "Text" - ], + "inputTypes": ["Record", "Text"], "type": "str" } }, @@ -164,12 +134,7 @@ "data": { "id": "ChatInput-t7F8v", "node": { - "base_classes": [ - "Text", - "object", - "Record", - "str" - ], + "base_classes": ["Text", "object", "Record", "str"], "beta": false, "custom_fields": { "input_value": null, @@ -193,9 +158,7 @@ "method": "message_response", "name": "message", "selected": "Message", - "types": [ - "Message" - ], + "types": ["Message"], "value": "__UNDEFINED__" } ], @@ -246,17 +209,12 @@ "fileTypes": [], "file_path": "", "info": "Type of sender.", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": true, "load_from_db": false, "multiline": false, "name": "sender", - "options": [ - "Machine", - "User" - ], + "options": ["Machine", "User"], "password": false, "placeholder": "", "required": false, @@ -272,9 +230,7 @@ "fileTypes": [], "file_path": "", "info": "Name of the sender.", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": false, "multiline": false, @@ -294,9 +250,7 @@ "fileTypes": [], "file_path": "", "info": "Session ID for the message.", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": false, "multiline": false, @@ -332,12 +286,7 @@ "data": { "id": "ChatOutput-P1jEe", "node": { - "base_classes": [ - "Text", - "object", - "Record", - "str" - ], + "base_classes": ["Text", "object", "Record", "str"], "beta": false, "custom_fields": { "input_value": null, @@ -361,9 +310,7 @@ "method": "message_response", "name": "message", "selected": "Message", - "types": [ - "Message" - ], + "types": ["Message"], "value": "__UNDEFINED__" } ], @@ -394,10 +341,7 @@ "fileTypes": [], "file_path": "", "info": "Message to be passed as output.", - "input_types": [ - "Text", - "Message" - ], + "input_types": ["Text", "Message"], "list": false, "load_from_db": false, "multiline": true, @@ -417,17 +361,12 @@ "fileTypes": [], "file_path": "", "info": "Type of sender.", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": true, "load_from_db": false, "multiline": false, "name": "sender", - "options": [ - "Machine", - "User" - ], + "options": ["Machine", "User"], "password": false, "placeholder": "", "required": false, @@ -443,9 +382,7 @@ "fileTypes": [], "file_path": "", "info": "Name of the sender.", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": false, "multiline": false, @@ -465,9 +402,7 @@ "fileTypes": [], "file_path": "", "info": "Session ID for the message.", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": false, "multiline": false, @@ -505,11 +440,7 @@ "display_name": "Chat Memory", "id": "MemoryComponent-cdA1J", "node": { - "base_classes": [ - "str", - "Text", - "object" - ], + "base_classes": ["str", "Text", "object"], "beta": true, "custom_fields": { "n_messages": null, @@ -526,9 +457,7 @@ "field_order": [], "frozen": false, "icon": "history", - "output_types": [ - "Text" - ], + "output_types": ["Text"], "outputs": [ { "cache": true, @@ -537,9 +466,7 @@ "method": null, "name": "text", "selected": "Text", - "types": [ - "Text" - ], + "types": ["Text"], "value": "__UNDEFINED__" } ], @@ -589,17 +516,12 @@ "fileTypes": [], "file_path": "", "info": "Order of the messages.", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": true, "load_from_db": false, "multiline": false, "name": "order", - "options": [ - "Ascending", - "Descending" - ], + "options": ["Ascending", "Descending"], "password": false, "placeholder": "", "required": false, @@ -615,18 +537,12 @@ "fileTypes": [], "file_path": "", "info": "", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": true, "load_from_db": false, "multiline": false, "name": "sender", - "options": [ - "Machine", - "User", - "Machine and User" - ], + "options": ["Machine", "User", "Machine and User"], "password": false, "placeholder": "", "required": false, @@ -642,9 +558,7 @@ "fileTypes": [], "file_path": "", "info": "", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": false, "multiline": false, @@ -663,9 +577,7 @@ "fileTypes": [], "file_path": "", "info": "Session ID of the chat history.", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": false, "multiline": false, @@ -703,17 +615,10 @@ "display_name": "Prompt", "id": "Prompt-ODkUx", "node": { - "base_classes": [ - "Text", - "str", - "object" - ], + "base_classes": ["Text", "str", "object"], "beta": false, "custom_fields": { - "template": [ - "context", - "user_message" - ] + "template": ["context", "user_message"] }, "description": "Create a prompt template with dynamic variables.", "display_name": "Prompt", @@ -736,9 +641,7 @@ "method": "build_prompt", "name": "prompt", "selected": "Prompt", - "types": [ - "Prompt" - ], + "types": ["Prompt"], "value": "__UNDEFINED__" }, { @@ -747,9 +650,7 @@ "method": "format_prompt", "name": "text", "selected": "Text", - "types": [ - "Text" - ], + "types": ["Text"], "value": "__UNDEFINED__" } ], @@ -781,12 +682,7 @@ "fileTypes": [], "file_path": "", "info": "", - "input_types": [ - "Document", - "Message", - "Record", - "Text" - ], + "input_types": ["Document", "Message", "Record", "Text"], "list": false, "load_from_db": false, "multiline": true, @@ -806,9 +702,7 @@ "fileTypes": [], "file_path": "", "info": "", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": false, "multiline": false, @@ -829,12 +723,7 @@ "fileTypes": [], "file_path": "", "info": "", - "input_types": [ - "Document", - "Message", - "Record", - "Text" - ], + "input_types": ["Document", "Message", "Record", "Text"], "list": false, "load_from_db": false, "multiline": true, @@ -870,11 +759,7 @@ "data": { "id": "OpenAIModel-9RykF", "node": { - "base_classes": [ - "str", - "object", - "Text" - ], + "base_classes": ["str", "object", "Text"], "beta": false, "custom_fields": { "input_value": null, @@ -912,9 +797,7 @@ "method": "text_response", "name": "text_output", "selected": "Text", - "types": [ - "Text" - ], + "types": ["Text"], "value": "__UNDEFINED__" }, { @@ -923,9 +806,7 @@ "method": "build_model", "name": "model_output", "selected": "BaseLanguageModel", - "types": [ - "BaseLanguageModel" - ], + "types": ["BaseLanguageModel"], "value": "__UNDEFINED__" } ], @@ -956,11 +837,7 @@ "fileTypes": [], "file_path": "", "info": "", - "input_types": [ - "Text", - "Data", - "Prompt" - ], + "input_types": ["Text", "Data", "Prompt"], "list": false, "load_from_db": false, "multiline": false, @@ -980,9 +857,7 @@ "fileTypes": [], "file_path": "", "info": "The maximum number of tokens to generate. Set to 0 for unlimited tokens.", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": false, "multiline": false, @@ -1002,9 +877,7 @@ "fileTypes": [], "file_path": "", "info": "", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": false, "multiline": false, @@ -1024,9 +897,7 @@ "fileTypes": [], "file_path": "", "info": "", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": true, "load_from_db": false, "multiline": false, @@ -1044,7 +915,7 @@ "show": true, "title_case": false, "type": "str", - "value": "gpt-4o" + "value": "gpt-3.5-turbo" }, "openai_api_base": { "advanced": true, @@ -1053,9 +924,7 @@ "fileTypes": [], "file_path": "", "info": "The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\n\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": false, "multiline": false, @@ -1075,9 +944,7 @@ "fileTypes": [], "file_path": "", "info": "The OpenAI API Key to use for the OpenAI model.", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": true, "multiline": false, @@ -1097,9 +964,7 @@ "fileTypes": [], "file_path": "", "info": "Stream the response from the model. Streaming works only in Chat.", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": false, "multiline": false, @@ -1119,9 +984,7 @@ "fileTypes": [], "file_path": "", "info": "System message to pass to the model.", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": false, "multiline": false, @@ -1141,9 +1004,7 @@ "fileTypes": [], "file_path": "", "info": "", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": false, "multiline": false, @@ -1179,11 +1040,7 @@ "data": { "id": "TextOutput-vrs6T", "node": { - "base_classes": [ - "str", - "object", - "Text" - ], + "base_classes": ["str", "object", "Text"], "beta": false, "custom_fields": { "input_value": null, @@ -1196,9 +1053,7 @@ "field_order": [], "frozen": false, "icon": "type", - "output_types": [ - "Text" - ], + "output_types": ["Text"], "template": { "_type": "CustomComponent", "code": { @@ -1226,10 +1081,7 @@ "fileTypes": [], "file_path": "", "info": "Text or Record to be passed as output.", - "input_types": [ - "Record", - "Text" - ], + "input_types": ["Record", "Text"], "list": false, "load_from_db": false, "multiline": false, @@ -1249,9 +1101,7 @@ "fileTypes": [], "file_path": "", "info": "Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": false, "multiline": true, @@ -1297,4 +1147,4 @@ "is_component": false, "last_tested_version": "1.0.0a0", "name": "Memory Chatbot" -} \ No newline at end of file +} diff --git a/src/backend/base/langflow/initial_setup/starter_projects/Langflow Prompt Chaining.json b/src/backend/base/langflow/initial_setup/starter_projects/Langflow Prompt Chaining.json index 88a175a9e..8951eaa80 100644 --- a/src/backend/base/langflow/initial_setup/starter_projects/Langflow Prompt Chaining.json +++ b/src/backend/base/langflow/initial_setup/starter_projects/Langflow Prompt Chaining.json @@ -8,19 +8,12 @@ "dataType": "TextInput", "id": "TextInput-sptaH", "name": "text", - "output_types": [ - "Text" - ] + "output_types": ["Text"] }, "targetHandle": { "fieldName": "document", "id": "Prompt-amqBu", - "inputTypes": [ - "Document", - "Message", - "Record", - "Text" - ], + "inputTypes": ["Document", "Message", "Record", "Text"], "type": "str" } }, @@ -40,17 +33,12 @@ "dataType": "Prompt", "id": "Prompt-amqBu", "name": "text", - "output_types": [ - "Text" - ] + "output_types": ["Text"] }, "targetHandle": { "fieldName": "input_value", "id": "TextOutput-2MS4a", - "inputTypes": [ - "Record", - "Text" - ], + "inputTypes": ["Record", "Text"], "type": "str" } }, @@ -70,18 +58,12 @@ "dataType": "Prompt", "id": "Prompt-amqBu", "name": "prompt", - "output_types": [ - "Prompt" - ] + "output_types": ["Prompt"] }, "targetHandle": { "fieldName": "input_value", "id": "OpenAIModel-uYXZJ", - "inputTypes": [ - "Text", - "Data", - "Prompt" - ], + "inputTypes": ["Text", "Data", "Prompt"], "type": "str" } }, @@ -101,19 +83,12 @@ "dataType": "OpenAIModel", "id": "OpenAIModel-uYXZJ", "name": "text_output", - "output_types": [ - "Text" - ] + "output_types": ["Text"] }, "targetHandle": { "fieldName": "summary", "id": "Prompt-gTNiz", - "inputTypes": [ - "Document", - "Message", - "Record", - "Text" - ], + "inputTypes": ["Document", "Message", "Record", "Text"], "type": "str" } }, @@ -133,17 +108,12 @@ "dataType": "OpenAIModel", "id": "OpenAIModel-uYXZJ", "name": "text_output", - "output_types": [ - "Text" - ] + "output_types": ["Text"] }, "targetHandle": { "fieldName": "input_value", "id": "ChatOutput-EJkG3", - "inputTypes": [ - "Text", - "Message" - ], + "inputTypes": ["Text", "Message"], "type": "str" } }, @@ -163,17 +133,12 @@ "dataType": "Prompt", "id": "Prompt-gTNiz", "name": "text", - "output_types": [ - "Text" - ] + "output_types": ["Text"] }, "targetHandle": { "fieldName": "input_value", "id": "TextOutput-MUDOR", - "inputTypes": [ - "Record", - "Text" - ], + "inputTypes": ["Record", "Text"], "type": "str" } }, @@ -193,18 +158,12 @@ "dataType": "Prompt", "id": "Prompt-gTNiz", "name": "prompt", - "output_types": [ - "Prompt" - ] + "output_types": ["Prompt"] }, "targetHandle": { "fieldName": "input_value", "id": "OpenAIModel-XawYB", - "inputTypes": [ - "Text", - "Data", - "Prompt" - ], + "inputTypes": ["Text", "Data", "Prompt"], "type": "str" } }, @@ -224,17 +183,12 @@ "dataType": "OpenAIModel", "id": "OpenAIModel-XawYB", "name": "text_output", - "output_types": [ - "Text" - ] + "output_types": ["Text"] }, "targetHandle": { "fieldName": "input_value", "id": "ChatOutput-DNmvg", - "inputTypes": [ - "Text", - "Message" - ], + "inputTypes": ["Text", "Message"], "type": "str" } }, @@ -255,16 +209,10 @@ "display_name": "Prompt", "id": "Prompt-amqBu", "node": { - "base_classes": [ - "object", - "str", - "Text" - ], + "base_classes": ["object", "str", "Text"], "beta": false, "custom_fields": { - "template": [ - "document" - ] + "template": ["document"] }, "description": "Create a prompt template with dynamic variables.", "display_name": "Prompt", @@ -287,9 +235,7 @@ "method": "build_prompt", "name": "prompt", "selected": "Prompt", - "types": [ - "Prompt" - ], + "types": ["Prompt"], "value": "__UNDEFINED__" }, { @@ -298,9 +244,7 @@ "method": "format_prompt", "name": "text", "selected": "Text", - "types": [ - "Text" - ], + "types": ["Text"], "value": "__UNDEFINED__" } ], @@ -332,12 +276,7 @@ "fileTypes": [], "file_path": "", "info": "", - "input_types": [ - "Document", - "Message", - "Record", - "Text" - ], + "input_types": ["Document", "Message", "Record", "Text"], "list": false, "load_from_db": false, "multiline": true, @@ -357,9 +296,7 @@ "fileTypes": [], "file_path": "", "info": "", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": false, "multiline": false, @@ -397,16 +334,10 @@ "display_name": "Prompt", "id": "Prompt-gTNiz", "node": { - "base_classes": [ - "object", - "str", - "Text" - ], + "base_classes": ["object", "str", "Text"], "beta": false, "custom_fields": { - "template": [ - "summary" - ] + "template": ["summary"] }, "description": "Create a prompt template with dynamic variables.", "display_name": "Prompt", @@ -429,9 +360,7 @@ "method": "build_prompt", "name": "prompt", "selected": "Prompt", - "types": [ - "Prompt" - ], + "types": ["Prompt"], "value": "__UNDEFINED__" }, { @@ -440,9 +369,7 @@ "method": "format_prompt", "name": "text", "selected": "Text", - "types": [ - "Text" - ], + "types": ["Text"], "value": "__UNDEFINED__" } ], @@ -474,12 +401,7 @@ "fileTypes": [], "file_path": "", "info": "", - "input_types": [ - "Document", - "Message", - "Record", - "Text" - ], + "input_types": ["Document", "Message", "Record", "Text"], "list": false, "load_from_db": false, "multiline": true, @@ -499,9 +421,7 @@ "fileTypes": [], "file_path": "", "info": "", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": false, "multiline": false, @@ -533,12 +453,7 @@ "data": { "id": "ChatOutput-EJkG3", "node": { - "base_classes": [ - "object", - "Record", - "Text", - "str" - ], + "base_classes": ["object", "Record", "Text", "str"], "beta": false, "custom_fields": { "input_value": null, @@ -563,9 +478,7 @@ "method": "message_response", "name": "message", "selected": "Message", - "types": [ - "Message" - ], + "types": ["Message"], "value": "__UNDEFINED__" } ], @@ -596,10 +509,7 @@ "fileTypes": [], "file_path": "", "info": "Message to be passed as output.", - "input_types": [ - "Text", - "Message" - ], + "input_types": ["Text", "Message"], "list": false, "load_from_db": false, "multiline": true, @@ -619,17 +529,12 @@ "fileTypes": [], "file_path": "", "info": "Type of sender.", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": true, "load_from_db": false, "multiline": false, "name": "sender", - "options": [ - "Machine", - "User" - ], + "options": ["Machine", "User"], "password": false, "placeholder": "", "required": false, @@ -645,9 +550,7 @@ "fileTypes": [], "file_path": "", "info": "Name of the sender.", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": false, "multiline": false, @@ -667,9 +570,7 @@ "fileTypes": [], "file_path": "", "info": "Session ID for the message.", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": false, "multiline": false, @@ -701,12 +602,7 @@ "data": { "id": "ChatOutput-DNmvg", "node": { - "base_classes": [ - "object", - "Record", - "Text", - "str" - ], + "base_classes": ["object", "Record", "Text", "str"], "beta": false, "custom_fields": { "input_value": null, @@ -731,9 +627,7 @@ "method": "message_response", "name": "message", "selected": "Message", - "types": [ - "Message" - ], + "types": ["Message"], "value": "__UNDEFINED__" } ], @@ -764,10 +658,7 @@ "fileTypes": [], "file_path": "", "info": "Message to be passed as output.", - "input_types": [ - "Text", - "Message" - ], + "input_types": ["Text", "Message"], "list": false, "load_from_db": false, "multiline": true, @@ -787,17 +678,12 @@ "fileTypes": [], "file_path": "", "info": "Type of sender.", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": true, "load_from_db": false, "multiline": false, "name": "sender", - "options": [ - "Machine", - "User" - ], + "options": ["Machine", "User"], "password": false, "placeholder": "", "required": false, @@ -813,9 +699,7 @@ "fileTypes": [], "file_path": "", "info": "Name of the sender.", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": false, "multiline": false, @@ -835,9 +719,7 @@ "fileTypes": [], "file_path": "", "info": "Session ID for the message.", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": false, "multiline": false, @@ -868,11 +750,7 @@ "data": { "id": "TextInput-sptaH", "node": { - "base_classes": [ - "str", - "Text", - "object" - ], + "base_classes": ["str", "Text", "object"], "beta": false, "custom_fields": { "input_value": null, @@ -893,9 +771,7 @@ "method": "text_response", "name": "text", "selected": "Text", - "types": [ - "Text" - ], + "types": ["Text"], "value": "__UNDEFINED__" } ], @@ -926,10 +802,7 @@ "fileTypes": [], "file_path": "", "info": "Text to be passed as input.", - "input_types": [ - "Data", - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": false, "multiline": false, @@ -965,11 +838,7 @@ "data": { "id": "TextOutput-2MS4a", "node": { - "base_classes": [ - "str", - "Text", - "object" - ], + "base_classes": ["str", "Text", "object"], "beta": false, "custom_fields": { "input_value": null, @@ -982,9 +851,7 @@ "field_order": [], "frozen": false, "icon": "type", - "output_types": [ - "Text" - ], + "output_types": ["Text"], "template": { "_type": "CustomComponent", "code": { @@ -1012,10 +879,7 @@ "fileTypes": [], "file_path": "", "info": "Text or Record to be passed as output.", - "input_types": [ - "Record", - "Text" - ], + "input_types": ["Record", "Text"], "list": false, "load_from_db": false, "multiline": false, @@ -1035,9 +899,7 @@ "fileTypes": [], "file_path": "", "info": "Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": false, "multiline": true, @@ -1073,11 +935,7 @@ "data": { "id": "OpenAIModel-uYXZJ", "node": { - "base_classes": [ - "str", - "Text", - "object" - ], + "base_classes": ["str", "Text", "object"], "beta": false, "custom_fields": { "input_value": null, @@ -1115,9 +973,7 @@ "method": "text_response", "name": "text_output", "selected": "Text", - "types": [ - "Text" - ], + "types": ["Text"], "value": "__UNDEFINED__" }, { @@ -1126,9 +982,7 @@ "method": "build_model", "name": "model_output", "selected": "BaseLanguageModel", - "types": [ - "BaseLanguageModel" - ], + "types": ["BaseLanguageModel"], "value": "__UNDEFINED__" } ], @@ -1159,11 +1013,7 @@ "fileTypes": [], "file_path": "", "info": "", - "input_types": [ - "Text", - "Data", - "Prompt" - ], + "input_types": ["Text", "Data", "Prompt"], "list": false, "load_from_db": false, "multiline": false, @@ -1183,9 +1033,7 @@ "fileTypes": [], "file_path": "", "info": "The maximum number of tokens to generate. Set to 0 for unlimited tokens.", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": false, "multiline": false, @@ -1205,9 +1053,7 @@ "fileTypes": [], "file_path": "", "info": "", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": false, "multiline": false, @@ -1227,9 +1073,7 @@ "fileTypes": [], "file_path": "", "info": "", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": true, "load_from_db": false, "multiline": false, @@ -1247,7 +1091,7 @@ "show": true, "title_case": false, "type": "str", - "value": "gpt-4o" + "value": "gpt-3.5-turbo" }, "openai_api_base": { "advanced": true, @@ -1256,9 +1100,7 @@ "fileTypes": [], "file_path": "", "info": "The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\n\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": false, "multiline": false, @@ -1278,9 +1120,7 @@ "fileTypes": [], "file_path": "", "info": "The OpenAI API Key to use for the OpenAI model.", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": true, "multiline": false, @@ -1300,9 +1140,7 @@ "fileTypes": [], "file_path": "", "info": "Stream the response from the model. Streaming works only in Chat.", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": false, "multiline": false, @@ -1322,9 +1160,7 @@ "fileTypes": [], "file_path": "", "info": "System message to pass to the model.", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": false, "multiline": false, @@ -1344,9 +1180,7 @@ "fileTypes": [], "file_path": "", "info": "", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": false, "multiline": false, @@ -1382,11 +1216,7 @@ "data": { "id": "TextOutput-MUDOR", "node": { - "base_classes": [ - "str", - "Text", - "object" - ], + "base_classes": ["str", "Text", "object"], "beta": false, "custom_fields": { "input_value": null, @@ -1399,9 +1229,7 @@ "field_order": [], "frozen": false, "icon": "type", - "output_types": [ - "Text" - ], + "output_types": ["Text"], "template": { "_type": "CustomComponent", "code": { @@ -1429,10 +1257,7 @@ "fileTypes": [], "file_path": "", "info": "Text or Record to be passed as output.", - "input_types": [ - "Record", - "Text" - ], + "input_types": ["Record", "Text"], "list": false, "load_from_db": false, "multiline": false, @@ -1452,9 +1277,7 @@ "fileTypes": [], "file_path": "", "info": "Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": false, "multiline": true, @@ -1490,11 +1313,7 @@ "data": { "id": "OpenAIModel-XawYB", "node": { - "base_classes": [ - "str", - "Text", - "object" - ], + "base_classes": ["str", "Text", "object"], "beta": false, "custom_fields": { "input_value": null, @@ -1532,9 +1351,7 @@ "method": "text_response", "name": "text_output", "selected": "Text", - "types": [ - "Text" - ], + "types": ["Text"], "value": "__UNDEFINED__" }, { @@ -1543,9 +1360,7 @@ "method": "build_model", "name": "model_output", "selected": "BaseLanguageModel", - "types": [ - "BaseLanguageModel" - ], + "types": ["BaseLanguageModel"], "value": "__UNDEFINED__" } ], @@ -1576,11 +1391,7 @@ "fileTypes": [], "file_path": "", "info": "", - "input_types": [ - "Text", - "Data", - "Prompt" - ], + "input_types": ["Text", "Data", "Prompt"], "list": false, "load_from_db": false, "multiline": false, @@ -1600,9 +1411,7 @@ "fileTypes": [], "file_path": "", "info": "The maximum number of tokens to generate. Set to 0 for unlimited tokens.", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": false, "multiline": false, @@ -1622,9 +1431,7 @@ "fileTypes": [], "file_path": "", "info": "", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": false, "multiline": false, @@ -1644,9 +1451,7 @@ "fileTypes": [], "file_path": "", "info": "", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": true, "load_from_db": false, "multiline": false, @@ -1673,9 +1478,7 @@ "fileTypes": [], "file_path": "", "info": "The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\n\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": false, "multiline": false, @@ -1695,9 +1498,7 @@ "fileTypes": [], "file_path": "", "info": "The OpenAI API Key to use for the OpenAI model.", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": true, "multiline": false, @@ -1717,9 +1518,7 @@ "fileTypes": [], "file_path": "", "info": "Stream the response from the model. Streaming works only in Chat.", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": false, "multiline": false, @@ -1739,9 +1538,7 @@ "fileTypes": [], "file_path": "", "info": "System message to pass to the model.", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": false, "multiline": false, @@ -1761,9 +1558,7 @@ "fileTypes": [], "file_path": "", "info": "", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": false, "multiline": false, @@ -1807,4 +1602,4 @@ "is_component": false, "last_tested_version": "1.0.0a0", "name": "Prompt Chaining" -} \ No newline at end of file +} diff --git a/src/backend/base/langflow/initial_setup/starter_projects/VectorStore-RAG-Flows.json b/src/backend/base/langflow/initial_setup/starter_projects/VectorStore-RAG-Flows.json index 7340fb242..088a13d24 100644 --- a/src/backend/base/langflow/initial_setup/starter_projects/VectorStore-RAG-Flows.json +++ b/src/backend/base/langflow/initial_setup/starter_projects/VectorStore-RAG-Flows.json @@ -8,19 +8,12 @@ "dataType": "TextOutput", "id": "TextOutput-BDknO", "name": "Text", - "output_types": [ - "Text" - ] + "output_types": ["Text"] }, "targetHandle": { "fieldName": "context", "id": "Prompt-xeI6K", - "inputTypes": [ - "Document", - "Message", - "Record", - "Text" - ], + "inputTypes": ["Document", "Message", "Record", "Text"], "type": "str" } }, @@ -41,19 +34,12 @@ "dataType": "ChatInput", "id": "ChatInput-yxMKE", "name": "message", - "output_types": [ - "Message" - ] + "output_types": ["Message"] }, "targetHandle": { "fieldName": "question", "id": "Prompt-xeI6K", - "inputTypes": [ - "Document", - "Message", - "Record", - "Text" - ], + "inputTypes": ["Document", "Message", "Record", "Text"], "type": "str" } }, @@ -74,18 +60,12 @@ "dataType": "Prompt", "id": "Prompt-xeI6K", "name": "prompt", - "output_types": [ - "Prompt" - ] + "output_types": ["Prompt"] }, "targetHandle": { "fieldName": "input_value", "id": "OpenAIModel-EjXlN", - "inputTypes": [ - "Text", - "Data", - "Prompt" - ], + "inputTypes": ["Text", "Data", "Prompt"], "type": "str" } }, @@ -106,17 +86,12 @@ "dataType": "OpenAIModel", "id": "OpenAIModel-EjXlN", "name": "text_output", - "output_types": [ - "Text" - ] + "output_types": ["Text"] }, "targetHandle": { "fieldName": "input_value", "id": "ChatOutput-Q39I8", - "inputTypes": [ - "Text", - "Message" - ], + "inputTypes": ["Text", "Message"], "type": "str" } }, @@ -142,10 +117,7 @@ "targetHandle": { "fieldName": "inputs", "id": "RecursiveCharacterTextSplitter-tR9QM", - "inputTypes": [ - "Document", - "Data" - ], + "inputTypes": ["Document", "Data"], "type": "Document" } }, @@ -166,9 +138,7 @@ "dataType": "OpenAIEmbeddings", "id": "OpenAIEmbeddings-ZlOk1", "name": "embeddings", - "output_types": [ - "Embeddings" - ] + "output_types": ["Embeddings"] }, "targetHandle": { "fieldName": "embedding", @@ -193,16 +163,12 @@ "dataType": "ChatInput", "id": "ChatInput-yxMKE", "name": "message", - "output_types": [ - "Message" - ] + "output_types": ["Message"] }, "targetHandle": { "fieldName": "input_value", "id": "AstraDBSearch-41nRz", - "inputTypes": [ - "Text" - ], + "inputTypes": ["Text"], "type": "str" } }, @@ -248,9 +214,7 @@ "dataType": "OpenAIEmbeddings", "id": "OpenAIEmbeddings-9TPjc", "name": "embeddings", - "output_types": [ - "Embeddings" - ] + "output_types": ["Embeddings"] }, "targetHandle": { "fieldName": "embedding", @@ -281,10 +245,7 @@ "targetHandle": { "fieldName": "input_value", "id": "TextOutput-BDknO", - "inputTypes": [ - "Record", - "Text" - ], + "inputTypes": ["Record", "Text"], "type": "str" } }, @@ -303,12 +264,7 @@ "data": { "id": "ChatInput-yxMKE", "node": { - "base_classes": [ - "Text", - "str", - "object", - "Record" - ], + "base_classes": ["Text", "str", "object", "Record"], "beta": false, "custom_fields": { "input_value": null, @@ -332,9 +288,7 @@ "method": "message_response", "name": "message", "selected": "Message", - "types": [ - "Message" - ], + "types": ["Message"], "value": "__UNDEFINED__" } ], @@ -385,17 +339,12 @@ "fileTypes": [], "file_path": "", "info": "Type of sender.", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": true, "load_from_db": false, "multiline": false, "name": "sender", - "options": [ - "Machine", - "User" - ], + "options": ["Machine", "User"], "password": false, "placeholder": "", "required": false, @@ -411,9 +360,7 @@ "fileTypes": [], "file_path": "", "info": "Name of the sender.", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": false, "multiline": false, @@ -433,9 +380,7 @@ "fileTypes": [], "file_path": "", "info": "Session ID for the message.", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": false, "multiline": false, @@ -466,11 +411,7 @@ "data": { "id": "TextOutput-BDknO", "node": { - "base_classes": [ - "object", - "Text", - "str" - ], + "base_classes": ["object", "Text", "str"], "beta": false, "custom_fields": { "input_value": null, @@ -483,16 +424,12 @@ "field_order": [], "frozen": false, "icon": "type", - "output_types": [ - "Text" - ], + "output_types": ["Text"], "outputs": [ { "name": "Text", "selected": "Text", - "types": [ - "Text" - ] + "types": ["Text"] } ], "template": { @@ -522,10 +459,7 @@ "fileTypes": [], "file_path": "", "info": "Text or Record to be passed as output.", - "input_types": [ - "Record", - "Text" - ], + "input_types": ["Record", "Text"], "list": false, "load_from_db": false, "multiline": false, @@ -545,9 +479,7 @@ "fileTypes": [], "file_path": "", "info": "Template to convert Record to Text. If left empty, it will be dynamically set to the Record's text key.", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": false, "multiline": true, @@ -583,9 +515,7 @@ "data": { "id": "OpenAIEmbeddings-ZlOk1", "node": { - "base_classes": [ - "Embeddings" - ], + "base_classes": ["Embeddings"], "beta": false, "custom_fields": { "allowed_special": null, @@ -617,9 +547,7 @@ "field_formatters": {}, "field_order": [], "frozen": false, - "output_types": [ - "Embeddings" - ], + "output_types": ["Embeddings"], "outputs": [ { "cache": true, @@ -628,9 +556,7 @@ "method": null, "name": "embeddings", "selected": "Embeddings", - "types": [ - "Embeddings" - ], + "types": ["Embeddings"], "value": "__UNDEFINED__" } ], @@ -643,9 +569,7 @@ "fileTypes": [], "file_path": "", "info": "", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": true, "load_from_db": false, "multiline": false, @@ -693,7 +617,7 @@ "show": true, "title_case": false, "type": "code", - "value": "from typing import Dict, List, Optional\n\nfrom langchain_openai.embeddings.base import OpenAIEmbeddings\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.custom import CustomComponent\nfrom langflow.field_typing import Embeddings, NestedDict\n\n\nclass OpenAIEmbeddingsComponent(CustomComponent):\n display_name = \"OpenAI Embeddings\"\n description = \"Generate embeddings using OpenAI models.\"\n\n def build_config(self):\n return {\n \"allowed_special\": {\n \"display_name\": \"Allowed Special\",\n \"advanced\": True,\n \"field_type\": \"str\",\n \"is_list\": True,\n },\n \"default_headers\": {\n \"display_name\": \"Default Headers\",\n \"advanced\": True,\n \"field_type\": \"dict\",\n },\n \"default_query\": {\n \"display_name\": \"Default Query\",\n \"advanced\": True,\n \"field_type\": \"NestedDict\",\n },\n \"disallowed_special\": {\n \"display_name\": \"Disallowed Special\",\n \"advanced\": True,\n \"field_type\": \"str\",\n \"is_list\": True,\n },\n \"chunk_size\": {\"display_name\": \"Chunk Size\", \"advanced\": True},\n \"client\": {\"display_name\": \"Client\", \"advanced\": True},\n \"deployment\": {\"display_name\": \"Deployment\", \"advanced\": True},\n \"embedding_ctx_length\": {\n \"display_name\": \"Embedding Context Length\",\n \"advanced\": True,\n },\n \"max_retries\": {\"display_name\": \"Max Retries\", \"advanced\": True},\n \"model\": {\n \"display_name\": \"Model\",\n \"advanced\": False,\n \"options\": [\n \"text-embedding-3-small\",\n \"text-embedding-3-large\",\n \"text-embedding-ada-002\",\n ],\n },\n \"model_kwargs\": {\"display_name\": \"Model Kwargs\", \"advanced\": True},\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"password\": True,\n \"advanced\": True,\n },\n \"openai_api_key\": {\"display_name\": \"OpenAI API Key\", \"password\": True},\n \"openai_api_type\": {\n \"display_name\": \"OpenAI API Type\",\n \"advanced\": True,\n \"password\": True,\n },\n \"openai_api_version\": {\n \"display_name\": \"OpenAI API Version\",\n \"advanced\": True,\n },\n \"openai_organization\": {\n \"display_name\": \"OpenAI Organization\",\n \"advanced\": True,\n },\n \"openai_proxy\": {\"display_name\": \"OpenAI Proxy\", \"advanced\": True},\n \"request_timeout\": {\"display_name\": \"Request Timeout\", \"advanced\": True},\n \"show_progress_bar\": {\n \"display_name\": \"Show Progress Bar\",\n \"advanced\": True,\n },\n \"skip_empty\": {\"display_name\": \"Skip Empty\", \"advanced\": True},\n \"tiktoken_model_name\": {\n \"display_name\": \"TikToken Model Name\",\n \"advanced\": True,\n },\n \"tiktoken_enable\": {\"display_name\": \"TikToken Enable\", \"advanced\": True},\n }\n\n def build(\n self,\n openai_api_key: str,\n default_headers: Optional[Dict[str, str]] = None,\n default_query: Optional[NestedDict] = {},\n allowed_special: List[str] = [],\n disallowed_special: List[str] = [\"all\"],\n chunk_size: int = 1000,\n deployment: str = \"text-embedding-ada-002\",\n embedding_ctx_length: int = 8191,\n max_retries: int = 6,\n model: str = \"text-embedding-ada-002\",\n model_kwargs: NestedDict = {},\n openai_api_base: Optional[str] = None,\n openai_api_type: Optional[str] = None,\n openai_api_version: Optional[str] = None,\n openai_organization: Optional[str] = None,\n openai_proxy: Optional[str] = None,\n request_timeout: Optional[float] = None,\n show_progress_bar: bool = False,\n skip_empty: bool = False,\n tiktoken_enable: bool = True,\n tiktoken_model_name: Optional[str] = None,\n ) -> Embeddings:\n # This is to avoid errors with Vector Stores (e.g Chroma)\n if disallowed_special == [\"all\"]:\n disallowed_special = \"all\" # type: ignore\n if openai_api_key:\n api_key = SecretStr(openai_api_key)\n else:\n api_key = None\n\n return OpenAIEmbeddings(\n tiktoken_enabled=tiktoken_enable,\n default_headers=default_headers,\n default_query=default_query,\n allowed_special=set(allowed_special),\n disallowed_special=\"all\",\n chunk_size=chunk_size,\n deployment=deployment,\n embedding_ctx_length=embedding_ctx_length,\n max_retries=max_retries,\n model=model,\n model_kwargs=model_kwargs,\n base_url=openai_api_base,\n api_key=api_key,\n openai_api_type=openai_api_type,\n api_version=openai_api_version,\n organization=openai_organization,\n openai_proxy=openai_proxy,\n timeout=request_timeout,\n show_progress_bar=show_progress_bar,\n skip_empty=skip_empty,\n tiktoken_model_name=tiktoken_model_name,\n )\n" + "value": "from typing import Dict, List, Optional\n\nfrom langchain_openai.embeddings.base import OpenAIEmbeddings\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.custom import CustomComponent\nfrom langflow.field_typing import Embeddings, NestedDict\n\n\nclass OpenAIEmbeddingsComponent(CustomComponent):\n display_name = \"OpenAI Embeddings\"\n description = \"Generate embeddings using OpenAI models.\"\n\n def build_config(self):\n return {\n \"allowed_special\": {\n \"display_name\": \"Allowed Special\",\n \"advanced\": True,\n \"field_type\": \"str\",\n \"is_list\": True,\n },\n \"default_headers\": {\n \"display_name\": \"Default Headers\",\n \"advanced\": True,\n \"field_type\": \"dict\",\n },\n \"default_query\": {\n \"display_name\": \"Default Query\",\n \"advanced\": True,\n \"field_type\": \"NestedDict\",\n },\n \"disallowed_special\": {\n \"display_name\": \"Disallowed Special\",\n \"advanced\": True,\n \"field_type\": \"str\",\n \"is_list\": True,\n },\n \"chunk_size\": {\"display_name\": \"Chunk Size\", \"advanced\": True},\n \"client\": {\"display_name\": \"Client\", \"advanced\": True},\n \"deployment\": {\"display_name\": \"Deployment\", \"advanced\": True},\n \"embedding_ctx_length\": {\n \"display_name\": \"Embedding Context Length\",\n \"advanced\": True,\n },\n \"max_retries\": {\"display_name\": \"Max Retries\", \"advanced\": True},\n \"model\": {\n \"display_name\": \"Model\",\n \"advanced\": False,\n \"options\": [\n \"text-embedding-3-small\",\n \"text-embedding-3-large\",\n \"text-embedding-ada-002\",\n ],\n },\n \"model_kwargs\": {\"display_name\": \"Model Kwargs\", \"advanced\": True},\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"password\": True,\n \"advanced\": True,\n },\n \"openai_api_key\": {\"display_name\": \"OpenAI API Key\", \"password\": True},\n \"openai_api_type\": {\n \"display_name\": \"OpenAI API Type\",\n \"advanced\": True,\n \"password\": True,\n },\n \"openai_api_version\": {\n \"display_name\": \"OpenAI API Version\",\n \"advanced\": True,\n },\n \"openai_organization\": {\n \"display_name\": \"OpenAI Organization\",\n \"advanced\": True,\n },\n \"openai_proxy\": {\"display_name\": \"OpenAI Proxy\", \"advanced\": True},\n \"request_timeout\": {\"display_name\": \"Request Timeout\", \"advanced\": True},\n \"show_progress_bar\": {\n \"display_name\": \"Show Progress Bar\",\n \"advanced\": True,\n },\n \"skip_empty\": {\"display_name\": \"Skip Empty\", \"advanced\": True},\n \"tiktoken_model_name\": {\n \"display_name\": \"TikToken Model Name\",\n \"advanced\": True,\n },\n \"tiktoken_enable\": {\"display_name\": \"TikToken Enable\", \"advanced\": True},\n \"dimensions\": {\n \"display_name\": \"Dimensions\",\n \"info\": \"The number of dimensions the resulting output embeddings should have. Only supported by certain models.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n openai_api_key: str,\n default_headers: Optional[Dict[str, str]] = None,\n default_query: Optional[NestedDict] = {},\n allowed_special: List[str] = [],\n disallowed_special: List[str] = [\"all\"],\n chunk_size: int = 1000,\n deployment: str = \"text-embedding-ada-002\",\n embedding_ctx_length: int = 8191,\n max_retries: int = 6,\n model: str = \"text-embedding-ada-002\",\n model_kwargs: NestedDict = {},\n openai_api_base: Optional[str] = None,\n openai_api_type: Optional[str] = None,\n openai_api_version: Optional[str] = None,\n openai_organization: Optional[str] = None,\n openai_proxy: Optional[str] = None,\n request_timeout: Optional[float] = None,\n show_progress_bar: bool = False,\n skip_empty: bool = False,\n tiktoken_enable: bool = True,\n tiktoken_model_name: Optional[str] = None,\n dimensions: Optional[int] = None,\n ) -> Embeddings:\n # This is to avoid errors with Vector Stores (e.g Chroma)\n if disallowed_special == [\"all\"]:\n disallowed_special = \"all\" # type: ignore\n if openai_api_key:\n api_key = SecretStr(openai_api_key)\n else:\n api_key = None\n\n return OpenAIEmbeddings(\n tiktoken_enabled=tiktoken_enable,\n default_headers=default_headers,\n default_query=default_query,\n allowed_special=set(allowed_special),\n disallowed_special=\"all\",\n chunk_size=chunk_size,\n deployment=deployment,\n embedding_ctx_length=embedding_ctx_length,\n max_retries=max_retries,\n model=model,\n model_kwargs=model_kwargs,\n base_url=openai_api_base,\n api_key=api_key,\n openai_api_type=openai_api_type,\n api_version=openai_api_version,\n organization=openai_organization,\n openai_proxy=openai_proxy,\n timeout=request_timeout,\n show_progress_bar=show_progress_bar,\n skip_empty=skip_empty,\n tiktoken_model_name=tiktoken_model_name,\n dimensions=dimensions,\n )\n" }, "default_headers": { "advanced": true, @@ -739,9 +663,7 @@ "fileTypes": [], "file_path": "", "info": "", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": false, "multiline": false, @@ -761,9 +683,7 @@ "fileTypes": [], "file_path": "", "info": "", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": true, "load_from_db": false, "multiline": false, @@ -774,9 +694,7 @@ "show": true, "title_case": false, "type": "str", - "value": [ - "all" - ] + "value": ["all"] }, "embedding_ctx_length": { "advanced": true, @@ -823,9 +741,7 @@ "fileTypes": [], "file_path": "", "info": "", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": true, "load_from_db": false, "multiline": false, @@ -869,9 +785,7 @@ "fileTypes": [], "file_path": "", "info": "", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": false, "multiline": false, @@ -890,9 +804,7 @@ "fileTypes": [], "file_path": "", "info": "", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": false, "multiline": false, @@ -912,9 +824,7 @@ "fileTypes": [], "file_path": "", "info": "", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": false, "multiline": false, @@ -933,9 +843,7 @@ "fileTypes": [], "file_path": "", "info": "", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": false, "multiline": false, @@ -954,9 +862,7 @@ "fileTypes": [], "file_path": "", "info": "", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": false, "multiline": false, @@ -975,9 +881,7 @@ "fileTypes": [], "file_path": "", "info": "", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": false, "multiline": false, @@ -1077,9 +981,7 @@ "fileTypes": [], "file_path": "", "info": "", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": false, "multiline": false, @@ -1110,11 +1012,7 @@ "data": { "id": "OpenAIModel-EjXlN", "node": { - "base_classes": [ - "object", - "Text", - "str" - ], + "base_classes": ["object", "Text", "str"], "beta": false, "custom_fields": { "input_value": null, @@ -1152,9 +1050,7 @@ "method": "text_response", "name": "text_output", "selected": "Text", - "types": [ - "Text" - ], + "types": ["Text"], "value": "__UNDEFINED__" }, { @@ -1163,9 +1059,7 @@ "method": "build_model", "name": "model_output", "selected": "BaseLanguageModel", - "types": [ - "BaseLanguageModel" - ], + "types": ["BaseLanguageModel"], "value": "__UNDEFINED__" } ], @@ -1196,11 +1090,7 @@ "fileTypes": [], "file_path": "", "info": "", - "input_types": [ - "Text", - "Data", - "Prompt" - ], + "input_types": ["Text", "Data", "Prompt"], "list": false, "load_from_db": false, "multiline": false, @@ -1220,9 +1110,7 @@ "fileTypes": [], "file_path": "", "info": "The maximum number of tokens to generate. Set to 0 for unlimited tokens.", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": false, "multiline": false, @@ -1242,9 +1130,7 @@ "fileTypes": [], "file_path": "", "info": "", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": false, "multiline": false, @@ -1264,9 +1150,7 @@ "fileTypes": [], "file_path": "", "info": "", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": true, "load_from_db": false, "multiline": false, @@ -1284,7 +1168,7 @@ "show": true, "title_case": false, "type": "str", - "value": "gpt-4o" + "value": "gpt-3.5-turbo" }, "openai_api_base": { "advanced": true, @@ -1293,9 +1177,7 @@ "fileTypes": [], "file_path": "", "info": "The base URL of the OpenAI API. Defaults to https://api.openai.com/v1.\n\nYou can change this to use other APIs like JinaChat, LocalAI and Prem.", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": false, "multiline": false, @@ -1315,9 +1197,7 @@ "fileTypes": [], "file_path": "", "info": "The OpenAI API Key to use for the OpenAI model.", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": true, "multiline": false, @@ -1337,9 +1217,7 @@ "fileTypes": [], "file_path": "", "info": "Stream the response from the model. Streaming works only in Chat.", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": false, "multiline": false, @@ -1359,9 +1237,7 @@ "fileTypes": [], "file_path": "", "info": "System message to pass to the model.", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": false, "multiline": false, @@ -1381,9 +1257,7 @@ "fileTypes": [], "file_path": "", "info": "", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": false, "multiline": false, @@ -1421,17 +1295,10 @@ "display_name": "Prompt", "id": "Prompt-xeI6K", "node": { - "base_classes": [ - "object", - "Text", - "str" - ], + "base_classes": ["object", "Text", "str"], "beta": false, "custom_fields": { - "template": [ - "context", - "question" - ] + "template": ["context", "question"] }, "description": "Create a prompt template with dynamic variables.", "display_name": "Prompt", @@ -1454,9 +1321,7 @@ "method": "build_prompt", "name": "prompt", "selected": "Prompt", - "types": [ - "Prompt" - ], + "types": ["Prompt"], "value": "__UNDEFINED__" }, { @@ -1465,9 +1330,7 @@ "method": "format_prompt", "name": "text", "selected": "Text", - "types": [ - "Text" - ], + "types": ["Text"], "value": "__UNDEFINED__" } ], @@ -1499,12 +1362,7 @@ "fileTypes": [], "file_path": "", "info": "", - "input_types": [ - "Document", - "Message", - "Record", - "Text" - ], + "input_types": ["Document", "Message", "Record", "Text"], "list": false, "load_from_db": false, "multiline": true, @@ -1525,12 +1383,7 @@ "fileTypes": [], "file_path": "", "info": "", - "input_types": [ - "Document", - "Message", - "Record", - "Text" - ], + "input_types": ["Document", "Message", "Record", "Text"], "list": false, "load_from_db": false, "multiline": true, @@ -1550,9 +1403,7 @@ "fileTypes": [], "file_path": "", "info": "", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": false, "multiline": false, @@ -1588,12 +1439,7 @@ "data": { "id": "ChatOutput-Q39I8", "node": { - "base_classes": [ - "object", - "Text", - "Record", - "str" - ], + "base_classes": ["object", "Text", "Record", "str"], "beta": false, "custom_fields": { "input_value": null, @@ -1618,9 +1464,7 @@ "method": "message_response", "name": "message", "selected": "Message", - "types": [ - "Message" - ], + "types": ["Message"], "value": "__UNDEFINED__" } ], @@ -1651,10 +1495,7 @@ "fileTypes": [], "file_path": "", "info": "Message to be passed as output.", - "input_types": [ - "Text", - "Message" - ], + "input_types": ["Text", "Message"], "list": false, "load_from_db": false, "multiline": true, @@ -1674,17 +1515,12 @@ "fileTypes": [], "file_path": "", "info": "Type of sender.", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": true, "load_from_db": false, "multiline": false, "name": "sender", - "options": [ - "Machine", - "User" - ], + "options": ["Machine", "User"], "password": false, "placeholder": "", "required": false, @@ -1700,9 +1536,7 @@ "fileTypes": [], "file_path": "", "info": "Name of the sender.", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": false, "multiline": false, @@ -1722,9 +1556,7 @@ "fileTypes": [], "file_path": "", "info": "Session ID for the message.", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": false, "multiline": false, @@ -1760,9 +1592,7 @@ "data": { "id": "File-t0a6a", "node": { - "base_classes": [ - "Record" - ], + "base_classes": ["Record"], "beta": false, "custom_fields": { "path": null, @@ -1783,9 +1613,7 @@ "method": "load_file", "name": "data", "selected": "Data", - "types": [ - "Data" - ], + "types": ["Data"], "value": "__UNDEFINED__" } ], @@ -1880,9 +1708,7 @@ "data": { "id": "RecursiveCharacterTextSplitter-tR9QM", "node": { - "base_classes": [ - "Record" - ], + "base_classes": ["Record"], "beta": false, "custom_fields": { "chunk_overlap": null, @@ -1896,9 +1722,7 @@ "field_formatters": {}, "field_order": [], "frozen": false, - "output_types": [ - "Data" - ], + "output_types": ["Data"], "outputs": [ { "cache": true, @@ -1907,9 +1731,7 @@ "method": null, "name": "data", "selected": "Data", - "types": [ - "Data" - ], + "types": ["Data"], "value": "__UNDEFINED__" } ], @@ -1978,10 +1800,7 @@ "fileTypes": [], "file_path": "", "info": "The texts to split.", - "input_types": [ - "Document", - "Data" - ], + "input_types": ["Document", "Data"], "list": true, "load_from_db": false, "multiline": false, @@ -2000,9 +1819,7 @@ "fileTypes": [], "file_path": "", "info": "The characters to split on.\nIf left empty defaults to [\"\\n\\n\", \"\\n\", \" \", \"\"].", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": true, "load_from_db": false, "multiline": false, @@ -2013,9 +1830,7 @@ "show": true, "title_case": false, "type": "str", - "value": [ - "" - ] + "value": [""] } } }, @@ -2040,9 +1855,7 @@ "data": { "id": "AstraDBSearch-41nRz", "node": { - "base_classes": [ - "Record" - ], + "base_classes": ["Record"], "beta": false, "custom_fields": { "api_endpoint": null, @@ -2077,9 +1890,7 @@ ], "frozen": false, "icon": "AstraDB", - "output_types": [ - "Data" - ], + "output_types": ["Data"], "outputs": [ { "cache": true, @@ -2088,9 +1899,7 @@ "method": null, "name": "data", "selected": "Data", - "types": [ - "Data" - ], + "types": ["Data"], "value": "__UNDEFINED__" } ], @@ -2103,9 +1912,7 @@ "fileTypes": [], "file_path": "", "info": "API endpoint URL for the Astra DB service.", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": false, "multiline": false, @@ -2206,7 +2013,7 @@ "show": true, "title_case": false, "type": "code", - "value": "from typing import List, Optional\n\nfrom langflow.components.vectorstores.AstraDB import AstraDBVectorStoreComponent\nfrom langflow.components.vectorstores.base.model import LCVectorStoreComponent\nfrom langflow.field_typing import Embeddings, Text\nfrom langflow.schema import Data\n\n\nclass AstraDBSearchComponent(LCVectorStoreComponent):\n display_name = \"Astra DB Search\"\n description = \"Searches an existing Astra DB Vector Store.\"\n icon = \"AstraDB\"\n field_order = [\"token\", \"api_endpoint\", \"collection_name\", \"input_value\", \"embedding\"]\n\n def build_config(self):\n return {\n \"search_type\": {\n \"display_name\": \"Search Type\",\n \"options\": [\"Similarity\", \"MMR\"],\n },\n \"input_value\": {\n \"display_name\": \"Input Value\",\n \"info\": \"Input value to search\",\n },\n \"embedding\": {\"display_name\": \"Embedding\", \"info\": \"Embedding to use\"},\n \"collection_name\": {\n \"display_name\": \"Collection Name\",\n \"info\": \"The name of the collection within Astra DB where the vectors will be stored.\",\n },\n \"token\": {\n \"display_name\": \"Token\",\n \"info\": \"Authentication token for accessing Astra DB.\",\n \"password\": True,\n },\n \"api_endpoint\": {\n \"display_name\": \"API Endpoint\",\n \"info\": \"API endpoint URL for the Astra DB service.\",\n },\n \"namespace\": {\n \"display_name\": \"Namespace\",\n \"info\": \"Optional namespace within Astra DB to use for the collection.\",\n \"advanced\": True,\n },\n \"metric\": {\n \"display_name\": \"Metric\",\n \"info\": \"Optional distance metric for vector comparisons in the vector store.\",\n \"advanced\": True,\n },\n \"batch_size\": {\n \"display_name\": \"Batch Size\",\n \"info\": \"Optional number of data to process in a single batch.\",\n \"advanced\": True,\n },\n \"bulk_insert_batch_concurrency\": {\n \"display_name\": \"Bulk Insert Batch Concurrency\",\n \"info\": \"Optional concurrency level for bulk insert operations.\",\n \"advanced\": True,\n },\n \"bulk_insert_overwrite_concurrency\": {\n \"display_name\": \"Bulk Insert Overwrite Concurrency\",\n \"info\": \"Optional concurrency level for bulk insert operations that overwrite existing data.\",\n \"advanced\": True,\n },\n \"bulk_delete_concurrency\": {\n \"display_name\": \"Bulk Delete Concurrency\",\n \"info\": \"Optional concurrency level for bulk delete operations.\",\n \"advanced\": True,\n },\n \"setup_mode\": {\n \"display_name\": \"Setup Mode\",\n \"info\": \"Configuration mode for setting up the vector store, with options like “Sync”, “Async”, or “Off”.\",\n \"options\": [\"Sync\", \"Async\", \"Off\"],\n \"advanced\": True,\n },\n \"pre_delete_collection\": {\n \"display_name\": \"Pre Delete Collection\",\n \"info\": \"Boolean flag to determine whether to delete the collection before creating a new one.\",\n \"advanced\": True,\n },\n \"metadata_indexing_include\": {\n \"display_name\": \"Metadata Indexing Include\",\n \"info\": \"Optional list of metadata fields to include in the indexing.\",\n \"advanced\": True,\n },\n \"metadata_indexing_exclude\": {\n \"display_name\": \"Metadata Indexing Exclude\",\n \"info\": \"Optional list of metadata fields to exclude from the indexing.\",\n \"advanced\": True,\n },\n \"collection_indexing_policy\": {\n \"display_name\": \"Collection Indexing Policy\",\n \"info\": \"Optional dictionary defining the indexing policy for the collection.\",\n \"advanced\": True,\n },\n \"number_of_results\": {\n \"display_name\": \"Number of Results\",\n \"info\": \"Number of results to return.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n embedding: Embeddings,\n collection_name: str,\n input_value: Text,\n token: str,\n api_endpoint: str,\n search_type: str = \"Similarity\",\n number_of_results: int = 4,\n namespace: Optional[str] = None,\n metric: Optional[str] = None,\n batch_size: Optional[int] = None,\n bulk_insert_batch_concurrency: Optional[int] = None,\n bulk_insert_overwrite_concurrency: Optional[int] = None,\n bulk_delete_concurrency: Optional[int] = None,\n setup_mode: str = \"Sync\",\n pre_delete_collection: bool = False,\n metadata_indexing_include: Optional[List[str]] = None,\n metadata_indexing_exclude: Optional[List[str]] = None,\n collection_indexing_policy: Optional[dict] = None,\n ) -> List[Data]:\n vector_store = AstraDBVectorStoreComponent().build(\n embedding=embedding,\n collection_name=collection_name,\n token=token,\n api_endpoint=api_endpoint,\n namespace=namespace,\n metric=metric,\n batch_size=batch_size,\n bulk_insert_batch_concurrency=bulk_insert_batch_concurrency,\n bulk_insert_overwrite_concurrency=bulk_insert_overwrite_concurrency,\n bulk_delete_concurrency=bulk_delete_concurrency,\n setup_mode=setup_mode,\n pre_delete_collection=pre_delete_collection,\n metadata_indexing_include=metadata_indexing_include,\n metadata_indexing_exclude=metadata_indexing_exclude,\n collection_indexing_policy=collection_indexing_policy,\n )\n try:\n return self.search_with_vector_store(input_value, search_type, vector_store, k=number_of_results)\n except KeyError as e:\n if \"content\" in str(e):\n raise ValueError(\n \"You should ingest data through Langflow (or LangChain) to query it in Langflow. Your collection does not contain a field name 'content'.\"\n )\n else:\n raise e\n" + "value": "from typing import List, Optional\n\nfrom langflow.components.vectorstores.AstraDB import AstraDBVectorStoreComponent\nfrom langflow.components.vectorstores.base.model import LCVectorStoreComponent\nfrom langflow.field_typing import Embeddings, Text\nfrom langflow.schema import Data\n\n\nclass AstraDBSearchComponent(LCVectorStoreComponent):\n display_name = \"Astra DB Search\"\n description = \"Searches an existing Astra DB Vector Store.\"\n icon = \"AstraDB\"\n field_order = [\"token\", \"api_endpoint\", \"collection_name\", \"input_value\", \"embedding\"]\n\n def build_config(self):\n return {\n \"search_type\": {\n \"display_name\": \"Search Type\",\n \"options\": [\"Similarity\", \"MMR\"],\n },\n \"input_value\": {\n \"display_name\": \"Input Value\",\n \"info\": \"Input value to search\",\n },\n \"embedding\": {\"display_name\": \"Embedding\", \"info\": \"Embedding to use\"},\n \"collection_name\": {\n \"display_name\": \"Collection Name\",\n \"info\": \"The name of the collection within Astra DB where the vectors will be stored.\",\n },\n \"token\": {\n \"display_name\": \"Astra DB Application Token\",\n \"info\": \"Authentication token for accessing Astra DB.\",\n \"password\": True,\n },\n \"api_endpoint\": {\n \"display_name\": \"API Endpoint\",\n \"info\": \"API endpoint URL for the Astra DB service.\",\n },\n \"namespace\": {\n \"display_name\": \"Namespace\",\n \"info\": \"Optional namespace within Astra DB to use for the collection.\",\n \"advanced\": True,\n },\n \"metric\": {\n \"display_name\": \"Metric\",\n \"info\": \"Optional distance metric for vector comparisons in the vector store.\",\n \"advanced\": True,\n },\n \"batch_size\": {\n \"display_name\": \"Batch Size\",\n \"info\": \"Optional number of data to process in a single batch.\",\n \"advanced\": True,\n },\n \"bulk_insert_batch_concurrency\": {\n \"display_name\": \"Bulk Insert Batch Concurrency\",\n \"info\": \"Optional concurrency level for bulk insert operations.\",\n \"advanced\": True,\n },\n \"bulk_insert_overwrite_concurrency\": {\n \"display_name\": \"Bulk Insert Overwrite Concurrency\",\n \"info\": \"Optional concurrency level for bulk insert operations that overwrite existing data.\",\n \"advanced\": True,\n },\n \"bulk_delete_concurrency\": {\n \"display_name\": \"Bulk Delete Concurrency\",\n \"info\": \"Optional concurrency level for bulk delete operations.\",\n \"advanced\": True,\n },\n \"setup_mode\": {\n \"display_name\": \"Setup Mode\",\n \"info\": \"Configuration mode for setting up the vector store, with options like “Sync”, “Async”, or “Off”.\",\n \"options\": [\"Sync\", \"Async\", \"Off\"],\n \"advanced\": True,\n },\n \"pre_delete_collection\": {\n \"display_name\": \"Pre Delete Collection\",\n \"info\": \"Boolean flag to determine whether to delete the collection before creating a new one.\",\n \"advanced\": True,\n },\n \"metadata_indexing_include\": {\n \"display_name\": \"Metadata Indexing Include\",\n \"info\": \"Optional list of metadata fields to include in the indexing.\",\n \"advanced\": True,\n },\n \"metadata_indexing_exclude\": {\n \"display_name\": \"Metadata Indexing Exclude\",\n \"info\": \"Optional list of metadata fields to exclude from the indexing.\",\n \"advanced\": True,\n },\n \"collection_indexing_policy\": {\n \"display_name\": \"Collection Indexing Policy\",\n \"info\": \"Optional dictionary defining the indexing policy for the collection.\",\n \"advanced\": True,\n },\n \"number_of_results\": {\n \"display_name\": \"Number of Results\",\n \"info\": \"Number of results to return.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n embedding: Embeddings,\n collection_name: str,\n input_value: Text,\n token: str,\n api_endpoint: str,\n search_type: str = \"Similarity\",\n number_of_results: int = 4,\n namespace: Optional[str] = None,\n metric: Optional[str] = None,\n batch_size: Optional[int] = None,\n bulk_insert_batch_concurrency: Optional[int] = None,\n bulk_insert_overwrite_concurrency: Optional[int] = None,\n bulk_delete_concurrency: Optional[int] = None,\n setup_mode: str = \"Sync\",\n pre_delete_collection: bool = False,\n metadata_indexing_include: Optional[List[str]] = None,\n metadata_indexing_exclude: Optional[List[str]] = None,\n collection_indexing_policy: Optional[dict] = None,\n ) -> List[Data]:\n vector_store = AstraDBVectorStoreComponent().build(\n embedding=embedding,\n collection_name=collection_name,\n token=token,\n api_endpoint=api_endpoint,\n namespace=namespace,\n metric=metric,\n batch_size=batch_size,\n bulk_insert_batch_concurrency=bulk_insert_batch_concurrency,\n bulk_insert_overwrite_concurrency=bulk_insert_overwrite_concurrency,\n bulk_delete_concurrency=bulk_delete_concurrency,\n setup_mode=setup_mode,\n pre_delete_collection=pre_delete_collection,\n metadata_indexing_include=metadata_indexing_include,\n metadata_indexing_exclude=metadata_indexing_exclude,\n collection_indexing_policy=collection_indexing_policy,\n )\n try:\n return self.search_with_vector_store(input_value, search_type, vector_store, k=number_of_results)\n except KeyError as e:\n if \"content\" in str(e):\n raise ValueError(\n \"You should ingest data through Langflow (or LangChain) to query it in Langflow. Your collection does not contain a field name 'content'.\"\n )\n else:\n raise e\n" }, "collection_indexing_policy": { "advanced": true, @@ -2233,9 +2040,7 @@ "fileTypes": [], "file_path": "", "info": "The name of the collection within Astra DB where the vectors will be stored.", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": false, "multiline": false, @@ -2273,9 +2078,7 @@ "fileTypes": [], "file_path": "", "info": "Input value to search", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": false, "multiline": false, @@ -2294,9 +2097,7 @@ "fileTypes": [], "file_path": "", "info": "Optional list of metadata fields to exclude from the indexing.", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": true, "load_from_db": false, "multiline": false, @@ -2315,9 +2116,7 @@ "fileTypes": [], "file_path": "", "info": "Optional list of metadata fields to include in the indexing.", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": true, "load_from_db": false, "multiline": false, @@ -2336,9 +2135,7 @@ "fileTypes": [], "file_path": "", "info": "Optional distance metric for vector comparisons in the vector store.", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": false, "multiline": false, @@ -2357,9 +2154,7 @@ "fileTypes": [], "file_path": "", "info": "Optional namespace within Astra DB to use for the collection.", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": false, "multiline": false, @@ -2416,17 +2211,12 @@ "fileTypes": [], "file_path": "", "info": "", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": true, "load_from_db": false, "multiline": false, "name": "search_type", - "options": [ - "Similarity", - "MMR" - ], + "options": ["Similarity", "MMR"], "password": false, "placeholder": "", "required": false, @@ -2442,18 +2232,12 @@ "fileTypes": [], "file_path": "", "info": "Configuration mode for setting up the vector store, with options like “Sync”, “Async”, or “Off”.", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": true, "load_from_db": false, "multiline": false, "name": "setup_mode", - "options": [ - "Sync", - "Async", - "Off" - ], + "options": ["Sync", "Async", "Off"], "password": false, "placeholder": "", "required": false, @@ -2464,14 +2248,12 @@ }, "token": { "advanced": false, - "display_name": "Token", + "display_name": "Astra DB Application Token", "dynamic": false, "fileTypes": [], "file_path": "", "info": "Authentication token for accessing Astra DB.", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": false, "multiline": false, @@ -2507,9 +2289,7 @@ "data": { "id": "AstraDB-eUCSS", "node": { - "base_classes": [ - "VectorStore" - ], + "base_classes": ["VectorStore"], "beta": false, "custom_fields": { "api_endpoint": null, @@ -2542,10 +2322,7 @@ ], "frozen": false, "icon": "AstraDB", - "output_types": [ - "VectorStore", - "BaseRetriever" - ], + "output_types": ["VectorStore", "BaseRetriever"], "outputs": [ { "cache": true, @@ -2554,9 +2331,7 @@ "method": null, "name": "vectorstore", "selected": "VectorStore", - "types": [ - "VectorStore" - ], + "types": ["VectorStore"], "value": "__UNDEFINED__" }, { @@ -2566,9 +2341,7 @@ "method": null, "name": "baseretriever", "selected": "BaseRetriever", - "types": [ - "BaseRetriever" - ], + "types": ["BaseRetriever"], "value": "__UNDEFINED__" } ], @@ -2581,9 +2354,7 @@ "fileTypes": [], "file_path": "", "info": "API endpoint URL for the Astra DB service.", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": false, "multiline": false, @@ -2684,7 +2455,7 @@ "show": true, "title_case": false, "type": "code", - "value": "from typing import List, Optional, Union\n\nfrom langchain_core.retrievers import BaseRetriever\n\nfrom langflow.custom import CustomComponent\nfrom langflow.field_typing import Embeddings, VectorStore\nfrom langflow.schema import Data\n\n\nclass AstraDBVectorStoreComponent(CustomComponent):\n display_name = \"Astra DB\"\n description = \"Builds or loads an Astra DB Vector Store.\"\n icon = \"AstraDB\"\n field_order = [\"token\", \"api_endpoint\", \"collection_name\", \"inputs\", \"embedding\"]\n\n def build_config(self):\n return {\n \"inputs\": {\n \"display_name\": \"Inputs\",\n \"info\": \"Optional list of data to be processed and stored in the vector store.\",\n },\n \"embedding\": {\"display_name\": \"Embedding\", \"info\": \"Embedding to use\"},\n \"collection_name\": {\n \"display_name\": \"Collection Name\",\n \"info\": \"The name of the collection within Astra DB where the vectors will be stored.\",\n },\n \"token\": {\n \"display_name\": \"Token\",\n \"info\": \"Authentication token for accessing Astra DB.\",\n \"password\": True,\n },\n \"api_endpoint\": {\n \"display_name\": \"API Endpoint\",\n \"info\": \"API endpoint URL for the Astra DB service.\",\n },\n \"namespace\": {\n \"display_name\": \"Namespace\",\n \"info\": \"Optional namespace within Astra DB to use for the collection.\",\n \"advanced\": True,\n },\n \"metric\": {\n \"display_name\": \"Metric\",\n \"info\": \"Optional distance metric for vector comparisons in the vector store.\",\n \"advanced\": True,\n },\n \"batch_size\": {\n \"display_name\": \"Batch Size\",\n \"info\": \"Optional number of data to process in a single batch.\",\n \"advanced\": True,\n },\n \"bulk_insert_batch_concurrency\": {\n \"display_name\": \"Bulk Insert Batch Concurrency\",\n \"info\": \"Optional concurrency level for bulk insert operations.\",\n \"advanced\": True,\n },\n \"bulk_insert_overwrite_concurrency\": {\n \"display_name\": \"Bulk Insert Overwrite Concurrency\",\n \"info\": \"Optional concurrency level for bulk insert operations that overwrite existing data.\",\n \"advanced\": True,\n },\n \"bulk_delete_concurrency\": {\n \"display_name\": \"Bulk Delete Concurrency\",\n \"info\": \"Optional concurrency level for bulk delete operations.\",\n \"advanced\": True,\n },\n \"setup_mode\": {\n \"display_name\": \"Setup Mode\",\n \"info\": \"Configuration mode for setting up the vector store, with options like “Sync”, “Async”, or “Off”.\",\n \"options\": [\"Sync\", \"Async\", \"Off\"],\n \"advanced\": True,\n },\n \"pre_delete_collection\": {\n \"display_name\": \"Pre Delete Collection\",\n \"info\": \"Boolean flag to determine whether to delete the collection before creating a new one.\",\n \"advanced\": True,\n },\n \"metadata_indexing_include\": {\n \"display_name\": \"Metadata Indexing Include\",\n \"info\": \"Optional list of metadata fields to include in the indexing.\",\n \"advanced\": True,\n },\n \"metadata_indexing_exclude\": {\n \"display_name\": \"Metadata Indexing Exclude\",\n \"info\": \"Optional list of metadata fields to exclude from the indexing.\",\n \"advanced\": True,\n },\n \"collection_indexing_policy\": {\n \"display_name\": \"Collection Indexing Policy\",\n \"info\": \"Optional dictionary defining the indexing policy for the collection.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n embedding: Embeddings,\n token: str,\n api_endpoint: str,\n collection_name: str,\n inputs: Optional[List[Data]] = None,\n namespace: Optional[str] = None,\n metric: Optional[str] = None,\n batch_size: Optional[int] = None,\n bulk_insert_batch_concurrency: Optional[int] = None,\n bulk_insert_overwrite_concurrency: Optional[int] = None,\n bulk_delete_concurrency: Optional[int] = None,\n setup_mode: str = \"Sync\",\n pre_delete_collection: bool = False,\n metadata_indexing_include: Optional[List[str]] = None,\n metadata_indexing_exclude: Optional[List[str]] = None,\n collection_indexing_policy: Optional[dict] = None,\n ) -> Union[VectorStore, BaseRetriever]:\n try:\n from langchain_astradb import AstraDBVectorStore\n from langchain_astradb.utils.astradb import SetupMode\n except ImportError:\n raise ImportError(\n \"Could not import langchain Astra DB integration package. \"\n \"Please install it with `pip install langchain-astradb`.\"\n )\n\n try:\n setup_mode_value = SetupMode[setup_mode.upper()]\n except KeyError:\n raise ValueError(f\"Invalid setup mode: {setup_mode}\")\n if inputs:\n documents = [_input.to_lc_document() for _input in inputs]\n\n vector_store = AstraDBVectorStore.from_documents(\n documents=documents,\n embedding=embedding,\n collection_name=collection_name,\n token=token,\n api_endpoint=api_endpoint,\n namespace=namespace,\n metric=metric,\n batch_size=batch_size,\n bulk_insert_batch_concurrency=bulk_insert_batch_concurrency,\n bulk_insert_overwrite_concurrency=bulk_insert_overwrite_concurrency,\n bulk_delete_concurrency=bulk_delete_concurrency,\n setup_mode=setup_mode_value,\n pre_delete_collection=pre_delete_collection,\n metadata_indexing_include=metadata_indexing_include,\n metadata_indexing_exclude=metadata_indexing_exclude,\n collection_indexing_policy=collection_indexing_policy,\n )\n else:\n vector_store = AstraDBVectorStore(\n embedding=embedding,\n collection_name=collection_name,\n token=token,\n api_endpoint=api_endpoint,\n namespace=namespace,\n metric=metric,\n batch_size=batch_size,\n bulk_insert_batch_concurrency=bulk_insert_batch_concurrency,\n bulk_insert_overwrite_concurrency=bulk_insert_overwrite_concurrency,\n bulk_delete_concurrency=bulk_delete_concurrency,\n setup_mode=setup_mode_value,\n pre_delete_collection=pre_delete_collection,\n metadata_indexing_include=metadata_indexing_include,\n metadata_indexing_exclude=metadata_indexing_exclude,\n collection_indexing_policy=collection_indexing_policy,\n )\n\n return vector_store\n return vector_store\n" + "value": "from typing import List, Optional, Union\n\nfrom langchain_core.retrievers import BaseRetriever\n\nfrom langflow.custom import CustomComponent\nfrom langflow.field_typing import Embeddings, VectorStore\nfrom langflow.schema import Data\n\n\nclass AstraDBVectorStoreComponent(CustomComponent):\n display_name = \"Astra DB\"\n description = \"Builds or loads an Astra DB Vector Store.\"\n icon = \"AstraDB\"\n field_order = [\"token\", \"api_endpoint\", \"collection_name\", \"inputs\", \"embedding\"]\n\n def build_config(self):\n return {\n \"inputs\": {\n \"display_name\": \"Inputs\",\n \"info\": \"Optional list of data to be processed and stored in the vector store.\",\n },\n \"embedding\": {\"display_name\": \"Embedding\", \"info\": \"Embedding to use\"},\n \"collection_name\": {\n \"display_name\": \"Collection Name\",\n \"info\": \"The name of the collection within Astra DB where the vectors will be stored.\",\n },\n \"token\": {\n \"display_name\": \"Astra DB Application Token\",\n \"info\": \"Authentication token for accessing Astra DB.\",\n \"password\": True,\n },\n \"api_endpoint\": {\n \"display_name\": \"API Endpoint\",\n \"info\": \"API endpoint URL for the Astra DB service.\",\n },\n \"namespace\": {\n \"display_name\": \"Namespace\",\n \"info\": \"Optional namespace within Astra DB to use for the collection.\",\n \"advanced\": True,\n },\n \"metric\": {\n \"display_name\": \"Metric\",\n \"info\": \"Optional distance metric for vector comparisons in the vector store.\",\n \"advanced\": True,\n },\n \"batch_size\": {\n \"display_name\": \"Batch Size\",\n \"info\": \"Optional number of data to process in a single batch.\",\n \"advanced\": True,\n },\n \"bulk_insert_batch_concurrency\": {\n \"display_name\": \"Bulk Insert Batch Concurrency\",\n \"info\": \"Optional concurrency level for bulk insert operations.\",\n \"advanced\": True,\n },\n \"bulk_insert_overwrite_concurrency\": {\n \"display_name\": \"Bulk Insert Overwrite Concurrency\",\n \"info\": \"Optional concurrency level for bulk insert operations that overwrite existing data.\",\n \"advanced\": True,\n },\n \"bulk_delete_concurrency\": {\n \"display_name\": \"Bulk Delete Concurrency\",\n \"info\": \"Optional concurrency level for bulk delete operations.\",\n \"advanced\": True,\n },\n \"setup_mode\": {\n \"display_name\": \"Setup Mode\",\n \"info\": \"Configuration mode for setting up the vector store, with options like “Sync”, “Async”, or “Off”.\",\n \"options\": [\"Sync\", \"Async\", \"Off\"],\n \"advanced\": True,\n },\n \"pre_delete_collection\": {\n \"display_name\": \"Pre Delete Collection\",\n \"info\": \"Boolean flag to determine whether to delete the collection before creating a new one.\",\n \"advanced\": True,\n },\n \"metadata_indexing_include\": {\n \"display_name\": \"Metadata Indexing Include\",\n \"info\": \"Optional list of metadata fields to include in the indexing.\",\n \"advanced\": True,\n },\n \"metadata_indexing_exclude\": {\n \"display_name\": \"Metadata Indexing Exclude\",\n \"info\": \"Optional list of metadata fields to exclude from the indexing.\",\n \"advanced\": True,\n },\n \"collection_indexing_policy\": {\n \"display_name\": \"Collection Indexing Policy\",\n \"info\": \"Optional dictionary defining the indexing policy for the collection.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n embedding: Embeddings,\n token: str,\n api_endpoint: str,\n collection_name: str,\n inputs: Optional[List[Data]] = None,\n namespace: Optional[str] = None,\n metric: Optional[str] = None,\n batch_size: Optional[int] = None,\n bulk_insert_batch_concurrency: Optional[int] = None,\n bulk_insert_overwrite_concurrency: Optional[int] = None,\n bulk_delete_concurrency: Optional[int] = None,\n setup_mode: str = \"Sync\",\n pre_delete_collection: bool = False,\n metadata_indexing_include: Optional[List[str]] = None,\n metadata_indexing_exclude: Optional[List[str]] = None,\n collection_indexing_policy: Optional[dict] = None,\n ) -> Union[VectorStore, BaseRetriever]:\n try:\n from langchain_astradb import AstraDBVectorStore\n from langchain_astradb.utils.astradb import SetupMode\n except ImportError:\n raise ImportError(\n \"Could not import langchain Astra DB integration package. \"\n \"Please install it with `pip install langchain-astradb`.\"\n )\n\n try:\n setup_mode_value = SetupMode[setup_mode.upper()]\n except KeyError:\n raise ValueError(f\"Invalid setup mode: {setup_mode}\")\n if inputs:\n documents = [_input.to_lc_document() for _input in inputs]\n\n vector_store = AstraDBVectorStore.from_documents(\n documents=documents,\n embedding=embedding,\n collection_name=collection_name,\n token=token,\n api_endpoint=api_endpoint,\n namespace=namespace,\n metric=metric,\n batch_size=batch_size,\n bulk_insert_batch_concurrency=bulk_insert_batch_concurrency,\n bulk_insert_overwrite_concurrency=bulk_insert_overwrite_concurrency,\n bulk_delete_concurrency=bulk_delete_concurrency,\n setup_mode=setup_mode_value,\n pre_delete_collection=pre_delete_collection,\n metadata_indexing_include=metadata_indexing_include,\n metadata_indexing_exclude=metadata_indexing_exclude,\n collection_indexing_policy=collection_indexing_policy,\n )\n else:\n vector_store = AstraDBVectorStore(\n embedding=embedding,\n collection_name=collection_name,\n token=token,\n api_endpoint=api_endpoint,\n namespace=namespace,\n metric=metric,\n batch_size=batch_size,\n bulk_insert_batch_concurrency=bulk_insert_batch_concurrency,\n bulk_insert_overwrite_concurrency=bulk_insert_overwrite_concurrency,\n bulk_delete_concurrency=bulk_delete_concurrency,\n setup_mode=setup_mode_value,\n pre_delete_collection=pre_delete_collection,\n metadata_indexing_include=metadata_indexing_include,\n metadata_indexing_exclude=metadata_indexing_exclude,\n collection_indexing_policy=collection_indexing_policy,\n )\n\n return vector_store\n return vector_store\n" }, "collection_indexing_policy": { "advanced": true, @@ -2711,9 +2482,7 @@ "fileTypes": [], "file_path": "", "info": "The name of the collection within Astra DB where the vectors will be stored.", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": false, "multiline": false, @@ -2769,9 +2538,7 @@ "fileTypes": [], "file_path": "", "info": "Optional list of metadata fields to exclude from the indexing.", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": true, "load_from_db": false, "multiline": false, @@ -2790,9 +2557,7 @@ "fileTypes": [], "file_path": "", "info": "Optional list of metadata fields to include in the indexing.", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": true, "load_from_db": false, "multiline": false, @@ -2811,9 +2576,7 @@ "fileTypes": [], "file_path": "", "info": "Optional distance metric for vector comparisons in the vector store.", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": false, "multiline": false, @@ -2832,9 +2595,7 @@ "fileTypes": [], "file_path": "", "info": "Optional namespace within Astra DB to use for the collection.", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": false, "multiline": false, @@ -2872,18 +2633,12 @@ "fileTypes": [], "file_path": "", "info": "Configuration mode for setting up the vector store, with options like “Sync”, “Async”, or “Off”.", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": true, "load_from_db": false, "multiline": false, "name": "setup_mode", - "options": [ - "Sync", - "Async", - "Off" - ], + "options": ["Sync", "Async", "Off"], "password": false, "placeholder": "", "required": false, @@ -2894,14 +2649,12 @@ }, "token": { "advanced": false, - "display_name": "Token", + "display_name": "Astra DB Application Token", "dynamic": false, "fileTypes": [], "file_path": "", "info": "Authentication token for accessing Astra DB.", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": false, "multiline": false, @@ -2937,9 +2690,7 @@ "data": { "id": "OpenAIEmbeddings-9TPjc", "node": { - "base_classes": [ - "Embeddings" - ], + "base_classes": ["Embeddings"], "beta": false, "custom_fields": { "allowed_special": null, @@ -2971,9 +2722,7 @@ "field_formatters": {}, "field_order": [], "frozen": false, - "output_types": [ - "Embeddings" - ], + "output_types": ["Embeddings"], "outputs": [ { "cache": true, @@ -2982,9 +2731,7 @@ "method": null, "name": "embeddings", "selected": "Embeddings", - "types": [ - "Embeddings" - ], + "types": ["Embeddings"], "value": "__UNDEFINED__" } ], @@ -2997,9 +2744,7 @@ "fileTypes": [], "file_path": "", "info": "", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": true, "load_from_db": false, "multiline": false, @@ -3047,7 +2792,7 @@ "show": true, "title_case": false, "type": "code", - "value": "from typing import Dict, List, Optional\n\nfrom langchain_openai.embeddings.base import OpenAIEmbeddings\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.custom import CustomComponent\nfrom langflow.field_typing import Embeddings, NestedDict\n\n\nclass OpenAIEmbeddingsComponent(CustomComponent):\n display_name = \"OpenAI Embeddings\"\n description = \"Generate embeddings using OpenAI models.\"\n\n def build_config(self):\n return {\n \"allowed_special\": {\n \"display_name\": \"Allowed Special\",\n \"advanced\": True,\n \"field_type\": \"str\",\n \"is_list\": True,\n },\n \"default_headers\": {\n \"display_name\": \"Default Headers\",\n \"advanced\": True,\n \"field_type\": \"dict\",\n },\n \"default_query\": {\n \"display_name\": \"Default Query\",\n \"advanced\": True,\n \"field_type\": \"NestedDict\",\n },\n \"disallowed_special\": {\n \"display_name\": \"Disallowed Special\",\n \"advanced\": True,\n \"field_type\": \"str\",\n \"is_list\": True,\n },\n \"chunk_size\": {\"display_name\": \"Chunk Size\", \"advanced\": True},\n \"client\": {\"display_name\": \"Client\", \"advanced\": True},\n \"deployment\": {\"display_name\": \"Deployment\", \"advanced\": True},\n \"embedding_ctx_length\": {\n \"display_name\": \"Embedding Context Length\",\n \"advanced\": True,\n },\n \"max_retries\": {\"display_name\": \"Max Retries\", \"advanced\": True},\n \"model\": {\n \"display_name\": \"Model\",\n \"advanced\": False,\n \"options\": [\n \"text-embedding-3-small\",\n \"text-embedding-3-large\",\n \"text-embedding-ada-002\",\n ],\n },\n \"model_kwargs\": {\"display_name\": \"Model Kwargs\", \"advanced\": True},\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"password\": True,\n \"advanced\": True,\n },\n \"openai_api_key\": {\"display_name\": \"OpenAI API Key\", \"password\": True},\n \"openai_api_type\": {\n \"display_name\": \"OpenAI API Type\",\n \"advanced\": True,\n \"password\": True,\n },\n \"openai_api_version\": {\n \"display_name\": \"OpenAI API Version\",\n \"advanced\": True,\n },\n \"openai_organization\": {\n \"display_name\": \"OpenAI Organization\",\n \"advanced\": True,\n },\n \"openai_proxy\": {\"display_name\": \"OpenAI Proxy\", \"advanced\": True},\n \"request_timeout\": {\"display_name\": \"Request Timeout\", \"advanced\": True},\n \"show_progress_bar\": {\n \"display_name\": \"Show Progress Bar\",\n \"advanced\": True,\n },\n \"skip_empty\": {\"display_name\": \"Skip Empty\", \"advanced\": True},\n \"tiktoken_model_name\": {\n \"display_name\": \"TikToken Model Name\",\n \"advanced\": True,\n },\n \"tiktoken_enable\": {\"display_name\": \"TikToken Enable\", \"advanced\": True},\n }\n\n def build(\n self,\n openai_api_key: str,\n default_headers: Optional[Dict[str, str]] = None,\n default_query: Optional[NestedDict] = {},\n allowed_special: List[str] = [],\n disallowed_special: List[str] = [\"all\"],\n chunk_size: int = 1000,\n deployment: str = \"text-embedding-ada-002\",\n embedding_ctx_length: int = 8191,\n max_retries: int = 6,\n model: str = \"text-embedding-ada-002\",\n model_kwargs: NestedDict = {},\n openai_api_base: Optional[str] = None,\n openai_api_type: Optional[str] = None,\n openai_api_version: Optional[str] = None,\n openai_organization: Optional[str] = None,\n openai_proxy: Optional[str] = None,\n request_timeout: Optional[float] = None,\n show_progress_bar: bool = False,\n skip_empty: bool = False,\n tiktoken_enable: bool = True,\n tiktoken_model_name: Optional[str] = None,\n ) -> Embeddings:\n # This is to avoid errors with Vector Stores (e.g Chroma)\n if disallowed_special == [\"all\"]:\n disallowed_special = \"all\" # type: ignore\n if openai_api_key:\n api_key = SecretStr(openai_api_key)\n else:\n api_key = None\n\n return OpenAIEmbeddings(\n tiktoken_enabled=tiktoken_enable,\n default_headers=default_headers,\n default_query=default_query,\n allowed_special=set(allowed_special),\n disallowed_special=\"all\",\n chunk_size=chunk_size,\n deployment=deployment,\n embedding_ctx_length=embedding_ctx_length,\n max_retries=max_retries,\n model=model,\n model_kwargs=model_kwargs,\n base_url=openai_api_base,\n api_key=api_key,\n openai_api_type=openai_api_type,\n api_version=openai_api_version,\n organization=openai_organization,\n openai_proxy=openai_proxy,\n timeout=request_timeout,\n show_progress_bar=show_progress_bar,\n skip_empty=skip_empty,\n tiktoken_model_name=tiktoken_model_name,\n )\n" + "value": "from typing import Dict, List, Optional\n\nfrom langchain_openai.embeddings.base import OpenAIEmbeddings\nfrom pydantic.v1 import SecretStr\n\nfrom langflow.custom import CustomComponent\nfrom langflow.field_typing import Embeddings, NestedDict\n\n\nclass OpenAIEmbeddingsComponent(CustomComponent):\n display_name = \"OpenAI Embeddings\"\n description = \"Generate embeddings using OpenAI models.\"\n\n def build_config(self):\n return {\n \"allowed_special\": {\n \"display_name\": \"Allowed Special\",\n \"advanced\": True,\n \"field_type\": \"str\",\n \"is_list\": True,\n },\n \"default_headers\": {\n \"display_name\": \"Default Headers\",\n \"advanced\": True,\n \"field_type\": \"dict\",\n },\n \"default_query\": {\n \"display_name\": \"Default Query\",\n \"advanced\": True,\n \"field_type\": \"NestedDict\",\n },\n \"disallowed_special\": {\n \"display_name\": \"Disallowed Special\",\n \"advanced\": True,\n \"field_type\": \"str\",\n \"is_list\": True,\n },\n \"chunk_size\": {\"display_name\": \"Chunk Size\", \"advanced\": True},\n \"client\": {\"display_name\": \"Client\", \"advanced\": True},\n \"deployment\": {\"display_name\": \"Deployment\", \"advanced\": True},\n \"embedding_ctx_length\": {\n \"display_name\": \"Embedding Context Length\",\n \"advanced\": True,\n },\n \"max_retries\": {\"display_name\": \"Max Retries\", \"advanced\": True},\n \"model\": {\n \"display_name\": \"Model\",\n \"advanced\": False,\n \"options\": [\n \"text-embedding-3-small\",\n \"text-embedding-3-large\",\n \"text-embedding-ada-002\",\n ],\n },\n \"model_kwargs\": {\"display_name\": \"Model Kwargs\", \"advanced\": True},\n \"openai_api_base\": {\n \"display_name\": \"OpenAI API Base\",\n \"password\": True,\n \"advanced\": True,\n },\n \"openai_api_key\": {\"display_name\": \"OpenAI API Key\", \"password\": True},\n \"openai_api_type\": {\n \"display_name\": \"OpenAI API Type\",\n \"advanced\": True,\n \"password\": True,\n },\n \"openai_api_version\": {\n \"display_name\": \"OpenAI API Version\",\n \"advanced\": True,\n },\n \"openai_organization\": {\n \"display_name\": \"OpenAI Organization\",\n \"advanced\": True,\n },\n \"openai_proxy\": {\"display_name\": \"OpenAI Proxy\", \"advanced\": True},\n \"request_timeout\": {\"display_name\": \"Request Timeout\", \"advanced\": True},\n \"show_progress_bar\": {\n \"display_name\": \"Show Progress Bar\",\n \"advanced\": True,\n },\n \"skip_empty\": {\"display_name\": \"Skip Empty\", \"advanced\": True},\n \"tiktoken_model_name\": {\n \"display_name\": \"TikToken Model Name\",\n \"advanced\": True,\n },\n \"tiktoken_enable\": {\"display_name\": \"TikToken Enable\", \"advanced\": True},\n \"dimensions\": {\n \"display_name\": \"Dimensions\",\n \"info\": \"The number of dimensions the resulting output embeddings should have. Only supported by certain models.\",\n \"advanced\": True,\n },\n }\n\n def build(\n self,\n openai_api_key: str,\n default_headers: Optional[Dict[str, str]] = None,\n default_query: Optional[NestedDict] = {},\n allowed_special: List[str] = [],\n disallowed_special: List[str] = [\"all\"],\n chunk_size: int = 1000,\n deployment: str = \"text-embedding-ada-002\",\n embedding_ctx_length: int = 8191,\n max_retries: int = 6,\n model: str = \"text-embedding-ada-002\",\n model_kwargs: NestedDict = {},\n openai_api_base: Optional[str] = None,\n openai_api_type: Optional[str] = None,\n openai_api_version: Optional[str] = None,\n openai_organization: Optional[str] = None,\n openai_proxy: Optional[str] = None,\n request_timeout: Optional[float] = None,\n show_progress_bar: bool = False,\n skip_empty: bool = False,\n tiktoken_enable: bool = True,\n tiktoken_model_name: Optional[str] = None,\n dimensions: Optional[int] = None,\n ) -> Embeddings:\n # This is to avoid errors with Vector Stores (e.g Chroma)\n if disallowed_special == [\"all\"]:\n disallowed_special = \"all\" # type: ignore\n if openai_api_key:\n api_key = SecretStr(openai_api_key)\n else:\n api_key = None\n\n return OpenAIEmbeddings(\n tiktoken_enabled=tiktoken_enable,\n default_headers=default_headers,\n default_query=default_query,\n allowed_special=set(allowed_special),\n disallowed_special=\"all\",\n chunk_size=chunk_size,\n deployment=deployment,\n embedding_ctx_length=embedding_ctx_length,\n max_retries=max_retries,\n model=model,\n model_kwargs=model_kwargs,\n base_url=openai_api_base,\n api_key=api_key,\n openai_api_type=openai_api_type,\n api_version=openai_api_version,\n organization=openai_organization,\n openai_proxy=openai_proxy,\n timeout=request_timeout,\n show_progress_bar=show_progress_bar,\n skip_empty=skip_empty,\n tiktoken_model_name=tiktoken_model_name,\n dimensions=dimensions,\n )\n" }, "default_headers": { "advanced": true, @@ -3093,9 +2838,7 @@ "fileTypes": [], "file_path": "", "info": "", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": false, "multiline": false, @@ -3115,9 +2858,7 @@ "fileTypes": [], "file_path": "", "info": "", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": true, "load_from_db": false, "multiline": false, @@ -3128,9 +2869,7 @@ "show": true, "title_case": false, "type": "str", - "value": [ - "all" - ] + "value": ["all"] }, "embedding_ctx_length": { "advanced": true, @@ -3177,9 +2916,7 @@ "fileTypes": [], "file_path": "", "info": "", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": true, "load_from_db": false, "multiline": false, @@ -3223,9 +2960,7 @@ "fileTypes": [], "file_path": "", "info": "", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": false, "multiline": false, @@ -3244,9 +2979,7 @@ "fileTypes": [], "file_path": "", "info": "", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": false, "multiline": false, @@ -3266,9 +2999,7 @@ "fileTypes": [], "file_path": "", "info": "", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": false, "multiline": false, @@ -3287,9 +3018,7 @@ "fileTypes": [], "file_path": "", "info": "", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": false, "multiline": false, @@ -3308,9 +3037,7 @@ "fileTypes": [], "file_path": "", "info": "", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": false, "multiline": false, @@ -3329,9 +3056,7 @@ "fileTypes": [], "file_path": "", "info": "", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": false, "multiline": false, @@ -3431,9 +3156,7 @@ "fileTypes": [], "file_path": "", "info": "", - "input_types": [ - "Text" - ], + "input_types": ["Text"], "list": false, "load_from_db": false, "multiline": false, @@ -3476,4 +3199,4 @@ "is_component": false, "last_tested_version": "1.0.0a0", "name": "Vector Store RAG" -} \ No newline at end of file +} diff --git a/src/backend/base/langflow/interface/initialize/loading.py b/src/backend/base/langflow/interface/initialize/loading.py index e0ecd5797..05329fcc1 100644 --- a/src/backend/base/langflow/interface/initialize/loading.py +++ b/src/backend/base/langflow/interface/initialize/loading.py @@ -160,7 +160,7 @@ async def build_custom_component(params: dict, custom_component: "CustomComponen if raw is None and isinstance(build_result, (dict, Data, str)): raw = build_result.data if isinstance(build_result, Data) else build_result - artifact_type = get_artifact_type(custom_component.repr_value or raw, build_result) + artifact_type = get_artifact_type(custom_component or raw, build_result) raw = post_process_raw(raw, artifact_type) artifact = {"repr": custom_repr, "raw": raw, "type": artifact_type} return custom_component, build_result, artifact diff --git a/src/backend/base/langflow/services/auth/utils.py b/src/backend/base/langflow/services/auth/utils.py index f62d3ce4f..d0ece7562 100644 --- a/src/backend/base/langflow/services/auth/utils.py +++ b/src/backend/base/langflow/services/auth/utils.py @@ -1,14 +1,13 @@ +import warnings from datetime import datetime, timedelta, timezone from typing import Annotated, Coroutine, Optional, Union from uuid import UUID -import warnings from cryptography.fernet import Fernet from fastapi import Depends, HTTPException, Security, status from fastapi.security import APIKeyHeader, APIKeyQuery, OAuth2PasswordBearer - - from jose import JWTError, jwt +from loguru import logger from sqlmodel import Session from starlette.websockets import WebSocket @@ -92,44 +91,58 @@ async def get_current_user_by_jwt( ) -> User: settings_service = get_settings_service() - credentials_exception = HTTPException( - status_code=status.HTTP_401_UNAUTHORIZED, - detail="Could not validate credentials", - headers={"WWW-Authenticate": "Bearer"}, - ) - if isinstance(token, Coroutine): token = await token - if settings_service.auth_settings.SECRET_KEY.get_secret_value() is None: - raise credentials_exception + secret_key = settings_service.auth_settings.SECRET_KEY.get_secret_value() + if secret_key is None: + logger.error("Secret key is not set in settings.") + raise HTTPException( + status_code=status.HTTP_401_UNAUTHORIZED, + # Careful not to leak sensitive information + detail="Authentication failure: Verify authentication settings.", + headers={"WWW-Authenticate": "Bearer"}, + ) try: - # Ignore warning about datetime.utcnow with warnings.catch_warnings(): warnings.simplefilter("ignore") - - payload = jwt.decode( - token, - settings_service.auth_settings.SECRET_KEY.get_secret_value(), - algorithms=[settings_service.auth_settings.ALGORITHM], - ) - user_id: UUID = payload.get("sub") # type: ignore - token_type: str = payload.get("type") # type: ignore + payload = jwt.decode(token, secret_key, algorithms=[settings_service.auth_settings.ALGORITHM]) + user_id: UUID = payload.get("sub") + token_type: str = payload.get("type") if expires := payload.get("exp", None): expires_datetime = datetime.fromtimestamp(expires, timezone.utc) - # TypeError: can't compare offset-naive and offset-aware datetimes if datetime.now(timezone.utc) > expires_datetime: - raise credentials_exception + logger.info("Token expired for user") + raise HTTPException( + status_code=status.HTTP_401_UNAUTHORIZED, + detail="Token has expired.", + headers={"WWW-Authenticate": "Bearer"}, + ) if user_id is None or token_type: - raise credentials_exception + logger.info(f"Invalid token payload. Token type: {token_type}") + raise HTTPException( + status_code=status.HTTP_401_UNAUTHORIZED, + detail="Invalid token details.", + headers={"WWW-Authenticate": "Bearer"}, + ) except JWTError as e: - raise credentials_exception from e + logger.error(f"JWT decoding error: {e}") + raise HTTPException( + status_code=status.HTTP_401_UNAUTHORIZED, + detail="Could not validate credentials", + headers={"WWW-Authenticate": "Bearer"}, + ) from e - user = get_user_by_id(db, user_id) # type: ignore + user = get_user_by_id(db, user_id) if user is None or not user.is_active: - raise credentials_exception + logger.info("User not found or inactive.") + raise HTTPException( + status_code=status.HTTP_401_UNAUTHORIZED, + detail="User not found or is inactive.", + headers={"WWW-Authenticate": "Bearer"}, + ) return user diff --git a/src/backend/base/langflow/services/database/service.py b/src/backend/base/langflow/services/database/service.py index db5b63c70..ceeaf3e38 100644 --- a/src/backend/base/langflow/services/database/service.py +++ b/src/backend/base/langflow/services/database/service.py @@ -6,24 +6,21 @@ from typing import TYPE_CHECKING import sqlalchemy as sa from alembic import command, util from alembic.config import Config -from loguru import logger -from sqlalchemy import inspect -from sqlalchemy.exc import OperationalError -from sqlalchemy.engine import Engine -from sqlalchemy import event -from sqlmodel import Session, SQLModel, create_engine, select, text - from langflow.services.base import Service from langflow.services.database import models # noqa from langflow.services.database.models.user.crud import get_user_by_username from langflow.services.database.utils import Result, TableResults from langflow.services.deps import get_settings_service from langflow.services.utils import teardown_superuser +from loguru import logger +from sqlalchemy import event, inspect +from sqlalchemy.engine import Engine +from sqlalchemy.exc import OperationalError +from sqlmodel import Session, SQLModel, create_engine, select, text if TYPE_CHECKING: - from sqlalchemy.engine import Engine - from langflow.services.settings.service import SettingsService + from sqlalchemy.engine import Engine class DatabaseService(Service): @@ -48,12 +45,23 @@ class DatabaseService(Service): connect_args = {"check_same_thread": False} else: connect_args = {} - return create_engine( - self.database_url, - connect_args=connect_args, - pool_size=self.settings_service.settings.pool_size, - max_overflow=self.settings_service.settings.max_overflow, - ) + try: + return create_engine( + self.database_url, + connect_args=connect_args, + pool_size=self.settings_service.settings.pool_size, + max_overflow=self.settings_service.settings.max_overflow, + ) + except sa.exc.NoSuchModuleError as exc: + # sqlalchemy.exc.NoSuchModuleError: Can't load plugin: sqlalchemy.dialects:postgres + if "postgres" in str(exc) and not self.database_url.startswith("postgresql"): + # https://stackoverflow.com/questions/62688256/sqlalchemy-exc-nosuchmoduleerror-cant-load-plugin-sqlalchemy-dialectspostgre + self.database_url = self.database_url.replace("postgres://", "postgresql://") + logger.warning( + "Fixed postgres dialect in database URL. Replacing postgres:// with postgresql://. To avoid this warning, update the database URL." + ) + return self._create_engine() + raise RuntimeError("Error creating database engine") from exc @event.listens_for(Engine, "connect") def on_connection(dbapi_connection, connection_record): diff --git a/src/backend/base/langflow/services/monitor/schema.py b/src/backend/base/langflow/services/monitor/schema.py index 363563873..69a1fc7ab 100644 --- a/src/backend/base/langflow/services/monitor/schema.py +++ b/src/backend/base/langflow/services/monitor/schema.py @@ -91,9 +91,17 @@ class MessageModel(DefaultModel): files: list[str] = [] @field_validator("files", mode="before") + @classmethod def validate_files(cls, v): if isinstance(v, str): - return json.loads(v) + v = json.loads(v) + return v + + @field_serializer("files") + @classmethod + def serialize_files(cls, v): + if isinstance(v, list): + return json.dumps(v) return v @classmethod diff --git a/src/backend/base/langflow/services/monitor/service.py b/src/backend/base/langflow/services/monitor/service.py index b9fdc028d..c7d898d11 100644 --- a/src/backend/base/langflow/services/monitor/service.py +++ b/src/backend/base/langflow/services/monitor/service.py @@ -3,12 +3,11 @@ from pathlib import Path from typing import TYPE_CHECKING, List, Optional, Union import duckdb -from loguru import logger -from platformdirs import user_cache_dir - from langflow.services.base import Service from langflow.services.monitor.schema import MessageModel, TransactionModel, VertexBuildModel from langflow.services.monitor.utils import add_row_to_table, drop_and_create_table_if_schema_mismatch +from loguru import logger +from platformdirs import user_cache_dir if TYPE_CHECKING: from langflow.services.settings.manager import SettingsService @@ -141,7 +140,7 @@ class MonitorService(Service): order: Optional[str] = "DESC", limit: Optional[int] = None, ): - query = "SELECT index, flow_id, sender_name, sender, session_id, text, timestamp FROM messages" + query = "SELECT index, flow_id, sender_name, sender, session_id, text, files, timestamp FROM messages" conditions = [] if sender: conditions.append(f"sender = '{sender}'") diff --git a/src/backend/base/poetry.lock b/src/backend/base/poetry.lock index ab30d8f08..8f57c7d7b 100644 --- a/src/backend/base/poetry.lock +++ b/src/backend/base/poetry.lock @@ -1158,22 +1158,25 @@ files = [ [[package]] name = "langchain" -version = "0.2.3" +version = "0.2.4" description = "Building applications with LLMs through composability" optional = false python-versions = "<4.0,>=3.8.1" files = [ - {file = "langchain-0.2.3-py3-none-any.whl", hash = "sha256:5dc33cd9c8008693d328b7cb698df69073acecc89ad9c2a95f243b3314f8d834"}, - {file = "langchain-0.2.3.tar.gz", hash = "sha256:81962cc72cce6515f7bd71e01542727870789bf8b666c6913d85559080c1a201"}, + {file = "langchain-0.2.4-py3-none-any.whl", hash = "sha256:a04813215c30f944df006031e2febde872af8fab628dcee825d969e07b6cd621"}, + {file = "langchain-0.2.4.tar.gz", hash = "sha256:e704b5b06222d5eba2d02c76f891321d1bac8952ed54e093831b2bdabf99dcd5"}, ] [package.dependencies] aiohttp = ">=3.8.3,<4.0.0" async-timeout = {version = ">=4.0.0,<5.0.0", markers = "python_version < \"3.11\""} -langchain-core = ">=0.2.0,<0.3.0" +langchain-core = ">=0.2.6,<0.3.0" langchain-text-splitters = ">=0.2.0,<0.3.0" langsmith = ">=0.1.17,<0.2.0" -numpy = ">=1,<2" +numpy = [ + {version = ">=1,<2", markers = "python_version < \"3.12\""}, + {version = ">=1.26.0,<2.0.0", markers = "python_version >= \"3.12\""}, +] pydantic = ">=1,<3" PyYAML = ">=5.3" requests = ">=2,<3" @@ -1205,19 +1208,19 @@ tenacity = ">=8.1.0,<9.0.0" [[package]] name = "langchain-core" -version = "0.2.5" +version = "0.2.6" description = "Building applications with LLMs through composability" optional = false python-versions = "<4.0,>=3.8.1" files = [ - {file = "langchain_core-0.2.5-py3-none-any.whl", hash = "sha256:abe5138f22acff23a079ec538be5268bbf97cf023d51987a0dd474d2a16cae3e"}, - {file = "langchain_core-0.2.5.tar.gz", hash = "sha256:4a5c2f56b22396a63ef4790043660e393adbfa6832b978f023ca996a04b8e752"}, + {file = "langchain_core-0.2.6-py3-none-any.whl", hash = "sha256:90521c9fc95d8f925e0d2e2d952382676aea6d3f8de611eda1b1810874c31e5d"}, + {file = "langchain_core-0.2.6.tar.gz", hash = "sha256:9f0e38da722a558a6e95b6d86de01bd92e84558c47ac8ba599f02eab70a1c873"}, ] [package.dependencies] jsonpatch = ">=1.33,<2.0" -langsmith = ">=0.1.66,<0.2.0" -packaging = ">=23.2,<24.0" +langsmith = ">=0.1.75,<0.2.0" +packaging = ">=23.2,<25" pydantic = ">=1,<3" PyYAML = ">=5.3" tenacity = ">=8.1.0,<9.0.0" @@ -1859,13 +1862,13 @@ files = [ [[package]] name = "packaging" -version = "23.2" +version = "24.1" description = "Core utilities for Python packages" optional = false -python-versions = ">=3.7" +python-versions = ">=3.8" files = [ - {file = "packaging-23.2-py3-none-any.whl", hash = "sha256:8c491190033a9af7e1d931d0b5dacc2ef47509b34dd0de67ed209b5203fc88c7"}, - {file = "packaging-23.2.tar.gz", hash = "sha256:048fb0e9405036518eaaf48a55953c750c11e1a1b68e0dd1a9d62ed0c092cfc5"}, + {file = "packaging-24.1-py3-none-any.whl", hash = "sha256:5b8f2217dbdbd2f7f384c41c628544e6d52f2d0f53c6d0c3ea61aa5d1d7ff124"}, + {file = "packaging-24.1.tar.gz", hash = "sha256:026ed72c8ed3fcce5bf8950572258698927fd1dbda10a5e981cdf0ac37f4f002"}, ] [[package]] diff --git a/src/backend/base/pyproject.toml b/src/backend/base/pyproject.toml index 81e088c1c..a833470a2 100644 --- a/src/backend/base/pyproject.toml +++ b/src/backend/base/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "langflow-base" -version = "0.0.63" +version = "0.0.68" description = "A Python package with a built-in web application" authors = ["Langflow "] maintainers = [ diff --git a/src/frontend/package-lock.json b/src/frontend/package-lock.json index 7e7c3bbba..b4b86cfd1 100644 --- a/src/frontend/package-lock.json +++ b/src/frontend/package-lock.json @@ -105,7 +105,6 @@ "prettier": "^2.8.8", "prettier-plugin-organize-imports": "^3.2.3", "prettier-plugin-tailwindcss": "^0.3.0", - 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"ansi-styles": "^4.0.0", - "string-width": "^4.1.0", - "strip-ansi": "^6.0.0" + "ansi-styles": "^6.1.0", + "string-width": "^5.0.1", + "strip-ansi": "^7.0.1" }, "engines": { - "node": ">=10" + "node": ">=12" }, "funding": { "url": "https://github.com/chalk/wrap-ansi?sponsor=1" @@ -13768,35 +13448,62 @@ "resolved": "https://registry.npmjs.org/color-name/-/color-name-1.1.4.tgz", "integrity": "sha512-dOy+3AuW3a2wNbZHIuMZpTcgjGuLU/uBL/ubcZF9OXbDo8ff4O8yVp5Bf0efS8uEoYo5q4Fx7dY9OgQGXgAsQA==" }, - "node_modules/wrap-ansi/node_modules/ansi-styles": { - "version": "4.3.0", - "resolved": "https://registry.npmjs.org/ansi-styles/-/ansi-styles-4.3.0.tgz", - "integrity": "sha512-zbB9rCJAT1rbjiVDb2hqKFHNYLxgtk8NURxZ3IZwD3F6NtxbXZQCnnSi1Lkx+IDohdPlFp222wVALIheZJQSEg==", - "dependencies": { - "color-convert": "^2.0.1" - }, + "node_modules/wrap-ansi/node_modules/ansi-regex": { + "version": "6.0.1", + "resolved": "https://registry.npmjs.org/ansi-regex/-/ansi-regex-6.0.1.tgz", + "integrity": "sha512-n5M855fKb2SsfMIiFFoVrABHJC8QtHwVx+mHWP3QcEqBHYienj5dHSgjbxtC0WEZXYt4wcD6zrQElDPhFuZgfA==", "engines": { - "node": ">=8" + "node": ">=12" + }, + "funding": { + "url": "https://github.com/chalk/ansi-regex?sponsor=1" + } + }, + "node_modules/wrap-ansi/node_modules/ansi-styles": { + "version": "6.2.1", + "resolved": "https://registry.npmjs.org/ansi-styles/-/ansi-styles-6.2.1.tgz", + "integrity": "sha512-bN798gFfQX+viw3R7yrGWRqnrN2oRkEkUjjl4JNn4E8GxxbjtG3FbrEIIY3l8/hrwUwIeCZvi4QuOTP4MErVug==", + "engines": { + "node": ">=12" }, "funding": { "url": "https://github.com/chalk/ansi-styles?sponsor=1" } }, - "node_modules/wrap-ansi/node_modules/color-convert": { - "version": "2.0.1", - "resolved": "https://registry.npmjs.org/color-convert/-/color-convert-2.0.1.tgz", - "integrity": "sha512-RRECPsj7iu/xb5oKYcsFHSppFNnsj/52OVTRKb4zP5onXwVF3zVmmToNcOfGC+CRDpfK/U584fMg38ZHCaElKQ==", + "node_modules/wrap-ansi/node_modules/emoji-regex": { + "version": "9.2.2", + "resolved": "https://registry.npmjs.org/emoji-regex/-/emoji-regex-9.2.2.tgz", + "integrity": "sha512-L18DaJsXSUk2+42pv8mLs5jJT2hqFkFE4j21wOmgbUqsZ2hL72NsUU785g9RXgo3s0ZNgVl42TiHp3ZtOv/Vyg==" + }, + "node_modules/wrap-ansi/node_modules/string-width": { + "version": "5.1.2", + "resolved": "https://registry.npmjs.org/string-width/-/string-width-5.1.2.tgz", + "integrity": "sha512-HnLOCR3vjcY8beoNLtcjZ5/nxn2afmME6lhrDrebokqMap+XbeW8n9TXpPDOqdGK5qcI3oT0GKTW6wC7EMiVqA==", "dependencies": { - "color-name": "~1.1.4" + "eastasianwidth": "^0.2.0", + "emoji-regex": "^9.2.2", + "strip-ansi": "^7.0.1" }, "engines": { - "node": ">=7.0.0" + "node": ">=12" + }, + "funding": { + "url": "https://github.com/sponsors/sindresorhus" } }, - "node_modules/wrap-ansi/node_modules/color-name": { - "version": "1.1.4", - "resolved": "https://registry.npmjs.org/color-name/-/color-name-1.1.4.tgz", - "integrity": "sha512-dOy+3AuW3a2wNbZHIuMZpTcgjGuLU/uBL/ubcZF9OXbDo8ff4O8yVp5Bf0efS8uEoYo5q4Fx7dY9OgQGXgAsQA==" + "node_modules/wrap-ansi/node_modules/strip-ansi": { + "version": "7.1.0", + "resolved": "https://registry.npmjs.org/strip-ansi/-/strip-ansi-7.1.0.tgz", + "integrity": "sha512-iq6eVVI64nQQTRYq2KtEg2d2uU7LElhTJwsH4YzIHZshxlgZms/wIc4VoDQTlG/IvVIrBKG06CrZnp0qv7hkcQ==", + "dependencies": { + "ansi-regex": "^6.0.1" + }, + "engines": { + "node": ">=12" + }, + "funding": { + "url": "https://github.com/chalk/strip-ansi?sponsor=1" + } }, "node_modules/wrappy": { "version": "1.0.2", @@ -13853,32 +13560,15 @@ "node": ">=0.4" } }, - "node_modules/xycolors": { - "version": "0.1.1", - "resolved": "https://registry.npmjs.org/xycolors/-/xycolors-0.1.1.tgz", - "integrity": "sha512-BbRKWpz/87nNH4lXp6TbBFUT0QipzmJI7ksQpSpBb3ny8mGJgkiKk36bIr8VqfyTEhasEBsfbp/Cum37fIHnjA==", - "hasInstallScript": true, - "funding": { - "url": "https://github.com/sponsors/xinyao27" - } - }, - "node_modules/y18n": { - "version": "5.0.8", - "resolved": "https://registry.npmjs.org/y18n/-/y18n-5.0.8.tgz", - "integrity": "sha512-0pfFzegeDWJHJIAmTLRP2DwHjdF5s7jo9tuztdQxAhINCdvS+3nGINqPd00AphqJR/0LhANUS6/+7SCb98YOfA==", - "engines": { - "node": ">=10" - } - }, "node_modules/yallist": { "version": "3.1.1", "resolved": "https://registry.npmjs.org/yallist/-/yallist-3.1.1.tgz", "integrity": "sha512-a4UGQaWPH59mOXUYnAG2ewncQS4i4F43Tv3JoAM+s2VDAmS9NsK8GpDMLrCHPksFT7h3K6TOoUNn2pb7RoXx4g==" }, "node_modules/yaml": { - "version": "2.4.2", - "resolved": "https://registry.npmjs.org/yaml/-/yaml-2.4.2.tgz", - "integrity": "sha512-B3VqDZ+JAg1nZpaEmWtTXUlBneoGx6CPM9b0TENK6aoSu5t73dItudwdgmi6tHlIZZId4dZ9skcAQ2UbcyAeVA==", + "version": "2.4.5", + "resolved": "https://registry.npmjs.org/yaml/-/yaml-2.4.5.tgz", + "integrity": "sha512-aBx2bnqDzVOyNKfsysjA2ms5ZlnjSAW2eG3/L5G/CSujfjLJTJsEw1bGw8kCf04KodQWk1pxlGnZ56CRxiawmg==", "bin": { "yaml": "bin.mjs" }, @@ -13886,31 +13576,6 @@ "node": ">= 14" } }, - "node_modules/yargs": { - "version": "17.7.2", - "resolved": "https://registry.npmjs.org/yargs/-/yargs-17.7.2.tgz", - "integrity": "sha512-7dSzzRQ++CKnNI/krKnYRV7JKKPUXMEh61soaHKg9mrWEhzFWhFnxPxGl+69cD1Ou63C13NUPCnmIcrvqCuM6w==", - "dependencies": { - "cliui": "^8.0.1", - "escalade": "^3.1.1", - "get-caller-file": "^2.0.5", - "require-directory": "^2.1.1", - "string-width": "^4.2.3", - "y18n": "^5.0.5", - "yargs-parser": "^21.1.1" - }, - "engines": { - "node": ">=12" - } - }, - "node_modules/yargs-parser": { - "version": "21.1.1", - "resolved": "https://registry.npmjs.org/yargs-parser/-/yargs-parser-21.1.1.tgz", - "integrity": "sha512-tVpsJW7DdjecAiFpbIB1e3qxIQsE6NoPc5/eTdrbbIC4h0LVsWhnoa3g+m2HclBIujHzsxZ4VJVA+GUuc2/LBw==", - "engines": { - "node": ">=12" - } - }, "node_modules/yocto-queue": { "version": "0.1.0", "resolved": "https://registry.npmjs.org/yocto-queue/-/yocto-queue-0.1.0.tgz", diff --git a/src/frontend/package.json b/src/frontend/package.json index efcdd4b43..ca1717f26 100644 --- a/src/frontend/package.json +++ b/src/frontend/package.json @@ -85,9 +85,6 @@ "format": "npx prettier --write \"{tests,src}/**/*.{js,jsx,ts,tsx,json,md}\" --ignore-path .prettierignore", "type-check": "tsc --noEmit --pretty --project tsconfig.json && vite" }, - "simple-git-hooks": { - "pre-commit": "npx pretty-quick --staged" - }, "eslintConfig": { "extends": [ "react-app", @@ -130,7 +127,6 @@ "prettier": "^2.8.8", "prettier-plugin-organize-imports": "^3.2.3", "prettier-plugin-tailwindcss": "^0.3.0", - "pretty-quick": "^3.1.3", "simple-git-hooks": "^2.11.1", "tailwindcss": "^3.3.3", "tailwindcss-dotted-background": "^1.1.0", @@ -138,4 +134,4 @@ "ua-parser-js": "^1.0.37", "vite": "^4.5.2" } -} +} \ No newline at end of file diff --git a/src/frontend/src/App.tsx b/src/frontend/src/App.tsx index 36f2ad9f9..b84c0d792 100644 --- a/src/frontend/src/App.tsx +++ b/src/frontend/src/App.tsx @@ -18,13 +18,13 @@ import { autoLogin, getGlobalVariables, getHealth } from "./controllers/API"; import { setupAxiosDefaults } from "./controllers/API/utils"; import useTrackLastVisitedPath from "./hooks/use-track-last-visited-path"; import Router from "./routes"; +import { Case } from "./shared/components/caseComponent"; import useAlertStore from "./stores/alertStore"; import { useDarkStore } from "./stores/darkStore"; import useFlowsManagerStore from "./stores/flowsManagerStore"; import { useFolderStore } from "./stores/foldersStore"; import { useGlobalVariablesStore } from "./stores/globalVariablesStore/globalVariables"; import { useStoreStore } from "./stores/storeStore"; -import { useTypesStore } from "./stores/typesStore"; export default function App() { useTrackLastVisitedPath(); @@ -43,10 +43,8 @@ export default function App() { const { isAuthenticated, login, setUserData, setAutoLogin, getUser } = useContext(AuthContext); - const refreshFlows = useFlowsManagerStore((state) => state.refreshFlows); const setLoading = useAlertStore((state) => state.setLoading); const fetchApiData = useStoreStore((state) => state.fetchApiData); - const getTypes = useTypesStore((state) => state.getTypes); const refreshVersion = useDarkStore((state) => state.refreshVersion); const refreshStars = useDarkStore((state) => state.refreshStars); const setGlobalVariables = useGlobalVariablesStore( @@ -56,8 +54,7 @@ export default function App() { const navigate = useNavigate(); const dark = useDarkStore((state) => state.dark); - const getFoldersApi = useFolderStore((state) => state.getFoldersApi); - const loadingFolders = useFolderStore((state) => state.loading); + const isLoadingFolders = useFolderStore((state) => state.isLoadingFolders); const [isLoadingHealth, setIsLoadingHealth] = useState(false); @@ -80,7 +77,6 @@ export default function App() { login(user["access_token"]); setUserData(user); setAutoLogin(true); - setLoading(false); fetchAllData(); } }) @@ -116,13 +112,13 @@ export default function App() { if (isAuthenticated) { try { await setupAxiosDefaults(); - await getFoldersApi(); - await getTypes(); - await refreshFlows(); + const res = await getGlobalVariables(); setGlobalVariables(res); + checkHasStore(); fetchApiData(); + resolve(); } catch (error) { console.error("Failed to fetch data:", error); @@ -175,6 +171,8 @@ export default function App() { } }; + const isLoadingApplication = isLoading || isLoadingFolders; + return ( //need parent component with width and height
@@ -197,15 +195,15 @@ export default function App() { > } - {isLoading || loadingFolders ? ( +
- ) : ( - <> - - - )} + + + + +
diff --git a/src/frontend/src/CustomNodes/GenericNode/components/parameterComponent/index.tsx b/src/frontend/src/CustomNodes/GenericNode/components/parameterComponent/index.tsx index 0f2bfbf6b..9a59fb5df 100644 --- a/src/frontend/src/CustomNodes/GenericNode/components/parameterComponent/index.tsx +++ b/src/frontend/src/CustomNodes/GenericNode/components/parameterComponent/index.tsx @@ -1,6 +1,5 @@ import { cloneDeep } from "lodash"; import { ReactNode, useEffect, useRef, useState } from "react"; -import { useHotkeys } from "react-hotkeys-hook"; import { Handle, Position, useUpdateNodeInternals } from "reactflow"; import CodeAreaComponent from "../../../../components/codeAreaComponent"; import DictComponent from "../../../../components/dictComponent"; @@ -18,7 +17,10 @@ import TextAreaComponent from "../../../../components/textAreaComponent"; import ToggleShadComponent from "../../../../components/toggleShadComponent"; import { Button } from "../../../../components/ui/button"; import { RefreshButton } from "../../../../components/ui/refreshButton"; -import { LANGFLOW_SUPPORTED_TYPES } from "../../../../constants/constants"; +import { + LANGFLOW_SUPPORTED_TYPES, + TOOLTIP_EMPTY, +} from "../../../../constants/constants"; import { Case } from "../../../../shared/components/caseComponent"; import useFlowStore from "../../../../stores/flowStore"; import useFlowsManagerStore from "../../../../stores/flowsManagerStore"; @@ -49,8 +51,10 @@ import useHandleNodeClass from "../../../hooks/use-handle-node-class"; import useHandleRefreshButtonPress from "../../../hooks/use-handle-refresh-buttons"; import HandleTooltips from "../HandleTooltipComponent"; import OutputComponent from "../OutputComponent"; -import OutputModal from "../outputModal"; +import TooltipRenderComponent from "../tooltipRenderComponent"; import { TEXT_FIELD_TYPES } from "./constants"; +import OutputModal from "../outputModal"; +import { useHotkeys } from "react-hotkeys-hook"; export default function ParameterComponent({ left, @@ -71,6 +75,8 @@ export default function ParameterComponent({ selected, outputProxy, }: ParameterComponentType): JSX.Element { + const ref = useRef(null); + const refHtml = useRef(null); const infoHtml = useRef(null); const currentFlow = useFlowsManagerStore((state) => state.currentFlow); const nodes = useFlowStore((state) => state.nodes); @@ -81,13 +87,16 @@ export default function ParameterComponent({ const [isLoading, setIsLoading] = useState(false); const updateNodeInternals = useUpdateNodeInternals(); const [errorDuplicateKey, setErrorDuplicateKey] = useState(false); + const flow = currentFlow?.data?.nodes ?? null; + const groupedEdge = useRef(null); const setFilterEdge = useFlowStore((state) => state.setFilterEdge); const [openOutputModal, setOpenOutputModal] = useState(false); const flowPool = useFlowStore((state) => state.flowPool); - const isValid = + const displayOutputPreview = !!flowPool[data.id] && - flowPool[data.id][flowPool[data.id].length - 1]?.valid; + flowPool[data.id][flowPool[data.id].length - 1]?.valid && + flowPool[data.id][flowPool[data.id].length - 1]?.data?.logs[0]?.message; const flowPoolNode = (flowPool[data.id] ?? [])[ (flowPool[data.id]?.length ?? 1) - 1 @@ -96,7 +105,6 @@ export default function ParameterComponent({ if (flowPoolNode?.data?.logs && outputName) { hasOutputs = flowPoolNode?.data?.logs[outputName] ?? null; } - const displayOutputPreview = isValid && hasOutputs; const unknownOutput = !!( flowPool[data.id] && flowPool[data.id][flowPool[data.id].length - 1]?.data?.logs[0]?.type === @@ -157,7 +165,7 @@ export default function ParameterComponent({ const handleOnNewValue = async ( newValue: string | string[] | boolean | Object[], - skipSnapshot: boolean | undefined = false + skipSnapshot: boolean | undefined = false, ): Promise => { handleOnNewValueHook(newValue, skipSnapshot); }; @@ -270,7 +278,7 @@ export default function ParameterComponent({ className={classNames( left ? "my-12 -ml-0.5 " : " my-12 -mr-0.5 ", "h-3 w-3 rounded-full border-2 bg-background", - !showNode ? "mt-0" : "" + !showNode ? "mt-0" : "", )} style={{ borderColor: color ?? nodeColors.unknown, @@ -287,6 +295,7 @@ export default function ParameterComponent({ ) ) : (
templateField.charAt(0) !== "_") .map( (templateField: string, idx) => - data.node!.template[templateField].show && - !data.node!.template[templateField].advanced && ( + data.node!.template[templateField]?.show && + !data.node!.template[templateField]?.advanced && ( 0 - ? data.node.output_types.join("|") + ? data.node.output_types.join(" | ") : data.type } tooltipTitle={data.node?.base_classes.join("\n")} @@ -724,10 +725,11 @@ export default function GenericNode({ .sort((a, b) => sortFields(a, b, data.node?.field_order ?? [])) .map((templateField: string, idx) => (
- {data.node!.template[templateField].show && - !data.node!.template[templateField].advanced ? ( + {data.node!.template[templateField]?.show && + !data.node!.template[templateField]?.advanced ? ( templateField.charAt(0) !== "_") .map((templateCamp) => { const { template } = data.node!; - if (template[templateCamp].input_types) return true; - if (!template[templateCamp].show) return false; - switch (template[templateCamp].type) { + if (template[templateCamp]?.input_types) return true; + if (!template[templateCamp]?.show) return false; + switch (template[templateCamp]?.type) { case "str": case "bool": case "float": diff --git a/src/frontend/src/CustomNodes/hooks/use-fetch-data-on-mount.tsx b/src/frontend/src/CustomNodes/hooks/use-fetch-data-on-mount.tsx index 34d41313b..3b5c8ce74 100644 --- a/src/frontend/src/CustomNodes/hooks/use-fetch-data-on-mount.tsx +++ b/src/frontend/src/CustomNodes/hooks/use-fetch-data-on-mount.tsx @@ -1,5 +1,9 @@ import { cloneDeep } from "lodash"; import { useEffect } from "react"; +import { + ERROR_UPDATING_COMPONENT, + TITLE_ERROR_UPDATING_COMPONENT, +} from "../../constants/constants"; import useAlertStore from "../../stores/alertStore"; import { ResponseErrorDetailAPI } from "../../types/api"; @@ -38,8 +42,10 @@ const useFetchDataOnMount = ( let responseError = error as ResponseErrorDetailAPI; setErrorData({ - title: "Error while updating the Component", - list: [responseError?.response?.data?.detail ?? "Unknown error"], + title: TITLE_ERROR_UPDATING_COMPONENT, + list: [ + responseError?.response?.data?.detail ?? ERROR_UPDATING_COMPONENT, + ], }); } setIsLoading(false); diff --git a/src/frontend/src/CustomNodes/hooks/use-handle-new-value.tsx b/src/frontend/src/CustomNodes/hooks/use-handle-new-value.tsx index 1a394cad3..22625d96d 100644 --- a/src/frontend/src/CustomNodes/hooks/use-handle-new-value.tsx +++ b/src/frontend/src/CustomNodes/hooks/use-handle-new-value.tsx @@ -1,4 +1,8 @@ import { cloneDeep } from "lodash"; +import { + ERROR_UPDATING_COMPONENT, + TITLE_ERROR_UPDATING_COMPONENT, +} from "../../constants/constants"; import useAlertStore from "../../stores/alertStore"; import { ResponseErrorTypeAPI } from "../../types/api"; @@ -42,9 +46,10 @@ const useHandleOnNewValue = ( } catch (error) { let responseError = error as ResponseErrorTypeAPI; setErrorData({ - title: "Error while updating the Component", + title: TITLE_ERROR_UPDATING_COMPONENT, list: [ - responseError?.response?.data?.detail.error ?? "Unknown error", + responseError?.response?.data?.detail.error ?? + ERROR_UPDATING_COMPONENT, ], }); } diff --git a/src/frontend/src/CustomNodes/hooks/use-handle-refresh-buttons.tsx b/src/frontend/src/CustomNodes/hooks/use-handle-refresh-buttons.tsx index 14e983ca1..e2ecb3f46 100644 --- a/src/frontend/src/CustomNodes/hooks/use-handle-refresh-buttons.tsx +++ b/src/frontend/src/CustomNodes/hooks/use-handle-refresh-buttons.tsx @@ -1,4 +1,8 @@ import { cloneDeep } from "lodash"; +import { + ERROR_UPDATING_COMPONENT, + TITLE_ERROR_UPDATING_COMPONENT, +} from "../../constants/constants"; import useAlertStore from "../../stores/alertStore"; import { ResponseErrorDetailAPI } from "../../types/api"; import { handleUpdateValues } from "../../utils/parameterUtils"; @@ -25,8 +29,10 @@ const useHandleRefreshButtonPress = (setIsLoading, setNode) => { let responseError = error as ResponseErrorDetailAPI; setErrorData({ - title: "Error while updating the Component", - list: [responseError?.response?.data?.detail ?? "Unknown error"], + title: TITLE_ERROR_UPDATING_COMPONENT, + list: [ + responseError?.response?.data?.detail ?? ERROR_UPDATING_COMPONENT, + ], }); } setIsLoading(false); diff --git a/src/frontend/src/components/addNewVariableButtonComponent/addNewVariableButton.tsx b/src/frontend/src/components/addNewVariableButtonComponent/addNewVariableButton.tsx index 682ddb498..d75bf625c 100644 --- a/src/frontend/src/components/addNewVariableButtonComponent/addNewVariableButton.tsx +++ b/src/frontend/src/components/addNewVariableButtonComponent/addNewVariableButton.tsx @@ -70,7 +70,10 @@ export default function AddNewVariableButton({ let responseError = error as ResponseErrorDetailAPI; setErrorData({ title: "Error creating variable", - list: [responseError?.response?.data?.detail ?? "Unknown error"], + list: [ + responseError?.response?.data?.detail ?? + "An unexpected error occurred while adding a new variable. Please try again.", + ], }); }); } diff --git a/src/frontend/src/components/headerComponent/index.tsx b/src/frontend/src/components/headerComponent/index.tsx index 9f927e59c..97ed41264 100644 --- a/src/frontend/src/components/headerComponent/index.tsx +++ b/src/frontend/src/components/headerComponent/index.tsx @@ -36,6 +36,7 @@ export default function Header(): JSX.Element { const location = useLocation(); const { logout, autoLogin, isAdmin, userData } = useContext(AuthContext); + const navigate = useNavigate(); const removeFlow = useFlowsManagerStore((store) => store.removeFlow); const hasStore = useStoreStore((state) => state.hasStore); @@ -208,7 +209,7 @@ export default function Header(): JSX.Element { 0, BACKEND_URL.length - 1 )}${BASE_URL_API}files/profile_pictures/${ - userData?.profile_image ?? "Space/046-rocket.png" + userData?.profile_image ?? "Space/046-rocket.svg" }` ?? profileCircle } className="h-7 w-7 shrink-0 focus-visible:outline-0" @@ -226,7 +227,7 @@ export default function Header(): JSX.Element { 0, BACKEND_URL.length - 1 )}${BASE_URL_API}files/profile_pictures/${ - userData?.profile_image + userData?.profile_image ?? "Space/046-rocket.svg" }` ?? profileCircle } className="h-5 w-5 focus-visible:outline-0 " diff --git a/src/frontend/src/components/inputListComponent/index.tsx b/src/frontend/src/components/inputListComponent/index.tsx index 7b5f87274..e89320dc9 100644 --- a/src/frontend/src/components/inputListComponent/index.tsx +++ b/src/frontend/src/components/inputListComponent/index.tsx @@ -31,7 +31,7 @@ export default function InputListComponent({
1 && editNode ? "my-1" : "", - "flex flex-col gap-3", + "flex flex-col gap-3" )} > {value.map((singleValue, idx) => { diff --git a/src/frontend/src/components/sidebarComponent/components/sideBarFolderButtons/index.tsx b/src/frontend/src/components/sidebarComponent/components/sideBarFolderButtons/index.tsx index 234eb9304..ff5c17a15 100644 --- a/src/frontend/src/components/sidebarComponent/components/sideBarFolderButtons/index.tsx +++ b/src/frontend/src/components/sidebarComponent/components/sideBarFolderButtons/index.tsx @@ -37,8 +37,8 @@ const SideBarFoldersButtonsComponent = ({ const currentFolder = pathname.split("/"); const urlWithoutPath = pathname.split("/").length < 4; const myCollectionId = useFolderStore((state) => state.myCollectionId); - const getFoldersApi = useFolderStore((state) => state.getFoldersApi); const folderIdDragging = useFolderStore((state) => state.folderIdDragging); + const refreshFolders = useFolderStore((state) => state.refreshFolders); const checkPathName = (itemId: string) => { if (urlWithoutPath && itemId === myCollectionId) { @@ -85,7 +85,7 @@ const SideBarFoldersButtonsComponent = ({ function addNewFolder() { addFolder({ name: "New Folder", parent_id: null, description: "" }).then( (res) => { - getFoldersApi(true); + refreshFolders(); } ); } diff --git a/src/frontend/src/components/sidebarComponent/hooks/use-on-file-drop.tsx b/src/frontend/src/components/sidebarComponent/hooks/use-on-file-drop.tsx index f10733468..ab4b9d27f 100644 --- a/src/frontend/src/components/sidebarComponent/hooks/use-on-file-drop.tsx +++ b/src/frontend/src/components/sidebarComponent/hooks/use-on-file-drop.tsx @@ -16,7 +16,7 @@ const useFileDrop = (folderId, folderChangeCallback) => { ); const setErrorData = useAlertStore((state) => state.setErrorData); - const getFoldersApi = useFolderStore((state) => state.getFoldersApi); + const refreshFolders = useFolderStore((state) => state.refreshFolders); const flows = useFlowsManagerStore((state) => state.flows); const triggerFolderChange = (folderId) => { @@ -118,7 +118,7 @@ const useFileDrop = (folderId, folderChangeCallback) => { setFolderIdDragging(""); updateFlowInDatabase(updatedFlow).then(() => { - getFoldersApi(true); + refreshFolders(); triggerFolderChange(folderId); }); }; @@ -129,7 +129,7 @@ const useFileDrop = (folderId, folderChangeCallback) => { setFolderDragging(false); setFolderIdDragging(""); uploadFlowsFromFolders(formData).then(() => { - getFoldersApi(true); + refreshFolders(); triggerFolderChange(folderId); }); }; diff --git a/src/frontend/src/components/sidebarComponent/index.tsx b/src/frontend/src/components/sidebarComponent/index.tsx index efec5da1e..8cdbe5907 100644 --- a/src/frontend/src/components/sidebarComponent/index.tsx +++ b/src/frontend/src/components/sidebarComponent/index.tsx @@ -28,7 +28,7 @@ export default function SidebarNav({ }: SidebarNavProps) { const location = useLocation(); const pathname = location.pathname; - const loadingFolders = useFolderStore((state) => state.loading); + const loadingFolders = useFolderStore((state) => state.isLoadingFolders); const folders = useFolderStore((state) => state.folders); const pathValues = ["folder", "components", "flows", "all"]; diff --git a/src/frontend/src/components/tableComponent/index.tsx b/src/frontend/src/components/tableComponent/index.tsx index 126d4f3f2..954d7d257 100644 --- a/src/frontend/src/components/tableComponent/index.tsx +++ b/src/frontend/src/components/tableComponent/index.tsx @@ -105,7 +105,7 @@ const TableComponent = forwardRef< } }, 50); setTimeout(() => { - realRef.current.api.hideOverlay(); + realRef?.current?.api?.hideOverlay(); }, 1000); if (props.onGridReady) props.onGridReady(params); }; diff --git a/src/frontend/src/constants/constants.ts b/src/frontend/src/constants/constants.ts index fb675d37a..a2c23f3f4 100644 --- a/src/frontend/src/constants/constants.ts +++ b/src/frontend/src/constants/constants.ts @@ -853,3 +853,8 @@ export const ALLOWED_IMAGE_INPUT_EXTENSIONS = ["png", "jpg", "jpeg"]; export const FS_ERROR_TEXT = "Please ensure your file has one of the following extensions:"; export const SN_ERROR_TEXT = ALLOWED_IMAGE_INPUT_EXTENSIONS.join(", "); + +export const ERROR_UPDATING_COMPONENT = + "An unexpected error occurred while updating the Component. Please try again."; +export const TITLE_ERROR_UPDATING_COMPONENT = + "Error while updating the Component"; diff --git a/src/frontend/src/contexts/authContext.tsx b/src/frontend/src/contexts/authContext.tsx index 43416f373..f6b81a235 100644 --- a/src/frontend/src/contexts/authContext.tsx +++ b/src/frontend/src/contexts/authContext.tsx @@ -3,6 +3,7 @@ import { useNavigate } from "react-router-dom"; import Cookies from "universal-cookie"; import { getLoggedUser, requestLogout } from "../controllers/API"; import useAlertStore from "../stores/alertStore"; +import { useFolderStore } from "../stores/foldersStore"; import { Users } from "../types/api"; import { AuthContextType } from "../types/contexts/auth"; @@ -43,6 +44,8 @@ export function AuthProvider({ children }): React.ReactElement { cookies.get("apikey_tkn_lflw") ); + const getFoldersApi = useFolderStore((state) => state.getFoldersApi); + useEffect(() => { const storedAccessToken = cookies.get("access_token_lf"); if (storedAccessToken) { @@ -59,11 +62,12 @@ export function AuthProvider({ children }): React.ReactElement { function getUser() { getLoggedUser() - .then((user) => { + .then(async (user) => { setUserData(user); - setLoading(false); const isSuperUser = user!.is_superuser; setIsAdmin(isSuperUser); + + getFoldersApi(true, true); }) .catch((error) => { setLoading(false); diff --git a/src/frontend/src/controllers/API/api.tsx b/src/frontend/src/controllers/API/api.tsx index 2a305cf5a..6bd73f5f1 100644 --- a/src/frontend/src/controllers/API/api.tsx +++ b/src/frontend/src/controllers/API/api.tsx @@ -87,6 +87,7 @@ function ApiInterceptor() { if (!checkRequest) { controller.abort("Duplicate Request"); + console.error("Duplicate Request"); } const accessToken = cookies.get("access_token_lf"); diff --git a/src/frontend/src/controllers/API/helpers/check-duplicate-requests.ts b/src/frontend/src/controllers/API/helpers/check-duplicate-requests.ts index 6486de541..ec3c74268 100644 --- a/src/frontend/src/controllers/API/helpers/check-duplicate-requests.ts +++ b/src/frontend/src/controllers/API/helpers/check-duplicate-requests.ts @@ -4,9 +4,10 @@ export function checkDuplicateRequestAndStoreRequest(config) { const lastUrl = localStorage.getItem("lastUrlCalled"); const lastMethodCalled = localStorage.getItem("lastMethodCalled"); const lastRequestTime = localStorage.getItem("lastRequestTime"); + const lastCurrentUrl = localStorage.getItem("lastCurrentUrl"); + const currentUrl = window.location.pathname; const currentTime = Date.now(); - const isContained = AUTHORIZED_DUPLICATE_REQUESTS.some((request) => config?.url!.includes(request) ); @@ -17,7 +18,8 @@ export function checkDuplicateRequestAndStoreRequest(config) { lastMethodCalled === config.method && lastMethodCalled === "get" && // Assuming you want to check only for GET requests lastRequestTime && - currentTime - parseInt(lastRequestTime, 10) < 800 + currentTime - parseInt(lastRequestTime, 10) < 300 && + lastCurrentUrl === currentUrl ) { return false; } @@ -25,6 +27,7 @@ export function checkDuplicateRequestAndStoreRequest(config) { localStorage.setItem("lastUrlCalled", config.url ?? ""); localStorage.setItem("lastMethodCalled", config.method ?? ""); localStorage.setItem("lastRequestTime", currentTime.toString()); + localStorage.setItem("lastCurrentUrl", currentUrl); return true; } diff --git a/src/frontend/src/controllers/API/index.ts b/src/frontend/src/controllers/API/index.ts index 8afc5073d..dfc01345f 100644 --- a/src/frontend/src/controllers/API/index.ts +++ b/src/frontend/src/controllers/API/index.ts @@ -1094,8 +1094,6 @@ export async function getMessagesTable( const rowsOrganized = rows.data; - console.log(rowsOrganized); - const columns = extractColumnsFromRows(rowsOrganized, mode, excludedFields); const sessions = new Set(); rowsOrganized.forEach((row) => { diff --git a/src/frontend/src/modals/IOModal/components/IOFieldView/index.tsx b/src/frontend/src/modals/IOModal/components/IOFieldView/index.tsx index 491aaf8a6..3fd28ca4d 100644 --- a/src/frontend/src/modals/IOModal/components/IOFieldView/index.tsx +++ b/src/frontend/src/modals/IOModal/components/IOFieldView/index.tsx @@ -5,6 +5,7 @@ import CsvOutputComponent from "../../../../components/csvOutputComponent"; import DataOutputComponent from "../../../../components/dataOutputComponent"; import InputListComponent from "../../../../components/inputListComponent"; import PdfViewer from "../../../../components/pdfViewer"; +import RecordsOutputComponent from "../../../../components/recordsOutputComponent"; import { Textarea } from "../../../../components/ui/textarea"; import { PDFViewConstant } from "../../../../constants/constants"; import { InputOutput } from "../../../../constants/enums"; @@ -253,7 +254,7 @@ export default function IOFieldView({ rows={ Array.isArray(flowPoolNode?.data?.artifacts) ? flowPoolNode?.data?.artifacts?.map( - (artifact) => artifact.data + (artifact) => artifact.data, ) ?? [] : [flowPoolNode?.data?.artifacts] } diff --git a/src/frontend/src/modals/IOModal/components/SessionView/index.tsx b/src/frontend/src/modals/IOModal/components/SessionView/index.tsx index ef2c44d44..705e9245d 100644 --- a/src/frontend/src/modals/IOModal/components/SessionView/index.tsx +++ b/src/frontend/src/modals/IOModal/components/SessionView/index.tsx @@ -18,7 +18,7 @@ export default function SessionView({ rows }: { rows: Array }) { setSelectedRows, setSuccessData, setErrorData, - selectedRows, + selectedRows ); const { handleUpdate } = useUpdateMessage(setSuccessData, setErrorData); diff --git a/src/frontend/src/modals/IOModal/components/chatView/index.tsx b/src/frontend/src/modals/IOModal/components/chatView/index.tsx index 2e57fb2cb..c6963fadc 100644 --- a/src/frontend/src/modals/IOModal/components/chatView/index.tsx +++ b/src/frontend/src/modals/IOModal/components/chatView/index.tsx @@ -36,12 +36,6 @@ export default function ChatView({ const outputTypes = outputs.map((obj) => obj.type); const updateFlowPool = useFlowStore((state) => state.updateFlowPool); - // useEffect(() => { - // if (!outputTypes.includes("ChatOutput")) { - // setNoticeData({ title: NOCHATOUTPUT_NOTICE_ALERT }); - // } - // }, []); - //build chat history useEffect(() => { const chatOutputResponses: VertexBuildTypeAPI[] = []; @@ -62,14 +56,24 @@ export default function ChatView({ const chatMessages: ChatMessageType[] = chatOutputResponses .sort((a, b) => Date.parse(a.timestamp) - Date.parse(b.timestamp)) // - .filter((output) => output.data.message) + .filter( + (output) => + output.data.message || (!output.data.message && output.artifacts) + ) .map((output, index) => { try { console.log("output:", output); + + const messageOutput = output.data.message; + const hasMessageValue = + messageOutput?.message || + messageOutput?.message === "" || + (messageOutput?.files ?? []).length > 0 || + messageOutput?.stream_url; + const { sender, message, sender_name, stream_url, files } = - output.data.message; - console.log("output.data.message:", output.data.message); - console.log("output.data.message.files:", output.data.message.files); + hasMessageValue ? output.data.message : output.artifacts; + const is_ai = sender === "Machine" || sender === null || sender === undefined; return { @@ -136,26 +140,12 @@ export default function ChatView({ message: string, stream_url?: string ) { - // if (message === "") return; chat.message = message; - // chat is one of the chatHistory updateFlowPool(chat.componentId, { message, sender_name: chat.sender_name ?? "Bot", sender: chat.isSend ? "User" : "Machine", }); - // setChatHistory((oldChatHistory) => { - // const index = oldChatHistory.findIndex((ch) => ch.id === chat.id); - // if (index === -1) return oldChatHistory; - // let newChatHistory = _.cloneDeep(oldChatHistory); - // newChatHistory = [ - // ...newChatHistory.slice(0, index), - // chat, - // ...newChatHistory.slice(index + 1), - // ]; - // console.log("newChatHistory:", newChatHistory); - // return newChatHistory; - // }); } const [files, setFiles] = useState([]); const [isDragging, setIsDragging] = useState(false); @@ -190,44 +180,6 @@ export default function ChatView({ aria-hidden="true" /> - {/* */}
{chatHistory?.length > 0 ? ( diff --git a/src/frontend/src/modals/apiModal/index.tsx b/src/frontend/src/modals/apiModal/index.tsx index 4d9379b0f..ead038ad2 100644 --- a/src/frontend/src/modals/apiModal/index.tsx +++ b/src/frontend/src/modals/apiModal/index.tsx @@ -10,7 +10,7 @@ import IconComponent from "../../components/genericIconComponent"; import { EXPORT_CODE_DIALOG } from "../../constants/constants"; import { AuthContext } from "../../contexts/authContext"; import { useTweaksStore } from "../../stores/tweaksStore"; -import { InputFieldType } from "../../types/api"; +import { TemplateVariableType } from "../../types/api"; import { uniqueTweakType } from "../../types/components"; import { FlowType } from "../../types/flow/index"; import BaseModal from "../baseModal"; @@ -39,7 +39,7 @@ const ApiModal = forwardRef( open?: boolean; setOpen?: (a: boolean | ((o?: boolean) => boolean)) => void; }, - ref + ref, ) => { const tweak = useTweaksStore((state) => state.tweak); const addTweaks = useTweaksStore((state) => state.setTweak); @@ -57,18 +57,18 @@ const ApiModal = forwardRef( flow?.id, autoLogin, tweak, - flow?.endpoint_name + flow?.endpoint_name, ); const curl_run_code = getCurlRunCode( flow?.id, autoLogin, tweak, - flow?.endpoint_name + flow?.endpoint_name, ); const curl_webhook_code = getCurlWebhookCode( flow?.id, autoLogin, - flow?.endpoint_name + flow?.endpoint_name, ); const pythonCode = getPythonCode(flow?.name, tweak); const widgetCode = getWidgetCode(flow?.id, flow?.name, autoLogin); @@ -83,7 +83,7 @@ const ApiModal = forwardRef( pythonCode, ]; const [tabs, setTabs] = useState( - createTabsArray(codesArray, includeWebhook) + createTabsArray(codesArray, includeWebhook), ); const canShowTweaks = @@ -132,7 +132,7 @@ const ApiModal = forwardRef( buildTweakObject( nodeId, element.data.node.template[templateField].value, - element.data.node.template[templateField] + element.data.node.template[templateField], ); } }); @@ -149,7 +149,7 @@ const ApiModal = forwardRef( async function buildTweakObject( tw: string, changes: string | string[] | boolean | number | Object[] | Object, - template: InputFieldType + template: TemplateVariableType, ) { changes = getChangesType(changes, template); @@ -191,7 +191,7 @@ const ApiModal = forwardRef( flow?.id, autoLogin, cloneTweak, - flow?.endpoint_name + flow?.endpoint_name, ); const pythonCode = getPythonCode(flow?.name, cloneTweak); const widgetCode = getWidgetCode(flow?.id, flow?.name, autoLogin); @@ -235,7 +235,7 @@ const ApiModal = forwardRef( ); - } + }, ); export default ApiModal; diff --git a/src/frontend/src/modals/apiModal/utils/get-changes-types.ts b/src/frontend/src/modals/apiModal/utils/get-changes-types.ts index 6a35446d5..e8e912ff3 100644 --- a/src/frontend/src/modals/apiModal/utils/get-changes-types.ts +++ b/src/frontend/src/modals/apiModal/utils/get-changes-types.ts @@ -1,9 +1,9 @@ -import { InputFieldType } from "../../../types/api"; +import { TemplateVariableType } from "../../../types/api"; import { convertArrayToObj } from "../../../utils/reactflowUtils"; export const getChangesType = ( changes: string | string[] | boolean | number | Object[] | Object, - template: InputFieldType + template: TemplateVariableType, ) => { if (typeof changes === "string" && template.type === "float") { changes = parseFloat(changes); diff --git a/src/frontend/src/modals/apiModal/utils/get-nodes-with-default-value.ts b/src/frontend/src/modals/apiModal/utils/get-nodes-with-default-value.ts index ea5887fda..dc4fbaffc 100644 --- a/src/frontend/src/modals/apiModal/utils/get-nodes-with-default-value.ts +++ b/src/frontend/src/modals/apiModal/utils/get-nodes-with-default-value.ts @@ -11,10 +11,10 @@ export const getNodesWithDefaultValue = (flow) => { .filter( (templateField) => templateField.charAt(0) !== "_" && - node.data.node.template[templateField].show && + node.data.node.template[templateField]?.show && LANGFLOW_SUPPORTED_TYPES.has( - node.data.node.template[templateField].type - ) + node.data.node.template[templateField].type, + ), ) .map((n, i) => { arrNodesWithValues.push(node["id"]); diff --git a/src/frontend/src/modals/apiModal/utils/get-value.ts b/src/frontend/src/modals/apiModal/utils/get-value.ts index 108ac09e3..df8e5bdde 100644 --- a/src/frontend/src/modals/apiModal/utils/get-value.ts +++ b/src/frontend/src/modals/apiModal/utils/get-value.ts @@ -1,11 +1,11 @@ -import { InputFieldType } from "../../../types/api"; +import { TemplateVariableType } from "../../../types/api"; import { NodeType } from "../../../types/flow"; export const getValue = ( value: string, node: NodeType, - template: InputFieldType, - tweak: Object[] + template: TemplateVariableType, + tweak: Object[], ) => { let returnValue = value ?? ""; diff --git a/src/frontend/src/modals/flowSettingsModal/index.tsx b/src/frontend/src/modals/flowSettingsModal/index.tsx index 022bd9aa0..912097a01 100644 --- a/src/frontend/src/modals/flowSettingsModal/index.tsx +++ b/src/frontend/src/modals/flowSettingsModal/index.tsx @@ -18,7 +18,7 @@ export default function FlowSettingsModal({ useEffect(() => { setName(currentFlow!.name); setDescription(currentFlow!.description); - }, [currentFlow!.name, currentFlow!.description, open]); + }, [currentFlow?.name, currentFlow?.description, open]); const [name, setName] = useState(currentFlow!.name); const [description, setDescription] = useState(currentFlow!.description); @@ -40,6 +40,7 @@ export default function FlowSettingsModal({ list: [err?.response?.data.detail ?? ""], }); console.error(err); + setIsSaving(false); }); } diff --git a/src/frontend/src/pages/AdminPage/LoginPage/index.tsx b/src/frontend/src/pages/AdminPage/LoginPage/index.tsx index b1772baa5..0c7e073df 100644 --- a/src/frontend/src/pages/AdminPage/LoginPage/index.tsx +++ b/src/frontend/src/pages/AdminPage/LoginPage/index.tsx @@ -19,6 +19,7 @@ export default function LoginAdminPage() { const [inputState, setInputState] = useState(CONTROL_LOGIN_STATE); const { login, isAuthenticated, setUserData } = useContext(AuthContext); + const setLoading = useAlertStore((state) => state.setLoading); const { password, username } = inputState; const setErrorData = useAlertStore((state) => state.setErrorData); @@ -35,6 +36,10 @@ export default function LoginAdminPage() { }; onLogin(user) .then((user) => { + console.log("admin page"); + + setLoading(true); + login(user.access_token); navigate("/admin/"); }) diff --git a/src/frontend/src/pages/FlowPage/components/PageComponent/index.tsx b/src/frontend/src/pages/FlowPage/components/PageComponent/index.tsx index 7c625a6fb..0961ef8e5 100644 --- a/src/frontend/src/pages/FlowPage/components/PageComponent/index.tsx +++ b/src/frontend/src/pages/FlowPage/components/PageComponent/index.tsx @@ -38,6 +38,7 @@ import { generateNodeFromFlow, getNodeId, isValidConnection, + reconnectEdges, scapeJSONParse, updateIds, validateSelection, @@ -61,19 +62,19 @@ export default function Page({ const preventDefault = true; const uploadFlow = useFlowsManagerStore((state) => state.uploadFlow); const autoSaveCurrentFlow = useFlowsManagerStore( - (state) => state.autoSaveCurrentFlow + (state) => state.autoSaveCurrentFlow, ); const types = useTypesStore((state) => state.types); const templates = useTypesStore((state) => state.templates); const setFilterEdge = useFlowStore((state) => state.setFilterEdge); const reactFlowWrapper = useRef(null); const [showCanvas, setSHowCanvas] = useState( - Object.keys(templates).length > 0 && Object.keys(types).length > 0 + Object.keys(templates).length > 0 && Object.keys(types).length > 0, ); const reactFlowInstance = useFlowStore((state) => state.reactFlowInstance); const setReactFlowInstance = useFlowStore( - (state) => state.setReactFlowInstance + (state) => state.setReactFlowInstance, ); const nodes = useFlowStore((state) => state.nodes); const edges = useFlowStore((state) => state.edges); @@ -90,10 +91,10 @@ export default function Page({ const paste = useFlowStore((state) => state.paste); const resetFlow = useFlowStore((state) => state.resetFlow); const lastCopiedSelection = useFlowStore( - (state) => state.lastCopiedSelection + (state) => state.lastCopiedSelection, ); const setLastCopiedSelection = useFlowStore( - (state) => state.setLastCopiedSelection + (state) => state.setLastCopiedSelection, ); const onConnect = useFlowStore((state) => state.onConnect); const currentFlowId = useFlowsManagerStore((state) => state.currentFlowId); @@ -116,7 +117,7 @@ export default function Page({ clonedSelection!, clonedNodes, clonedEdges, - getRandomName() + getRandomName(), ); const newGroupNode = generateNodeFromFlow(newFlow, getNodeId); // const newEdges = reconnectEdges(newGroupNode, removedEdges); @@ -124,8 +125,8 @@ export default function Page({ ...clonedNodes.filter( (oldNodes) => !clonedSelection?.nodes.some( - (selectionNode) => selectionNode.id === oldNodes.id - ) + (selectionNode) => selectionNode.id === oldNodes.id, + ), ), newGroupNode, ]); @@ -212,7 +213,7 @@ export default function Page({ { x: position.current.x, y: position.current.y, - } + }, ); } } @@ -296,7 +297,7 @@ export default function Page({ useEffect(() => { setSHowCanvas( - Object.keys(templates).length > 0 && Object.keys(types).length > 0 + Object.keys(templates).length > 0 && Object.keys(types).length > 0, ); }, [templates, types]); @@ -305,7 +306,7 @@ export default function Page({ takeSnapshot(); onConnect(params); }, - [takeSnapshot, onConnect] + [takeSnapshot, onConnect], ); const onNodeDragStart: NodeDragHandler = useCallback(() => { @@ -346,7 +347,7 @@ export default function Page({ // Extract the data from the drag event and parse it as a JSON object const data: { type: string; node?: APIClassType } = JSON.parse( - event.dataTransfer.getData("nodedata") + event.dataTransfer.getData("nodedata"), ); const newId = getNodeId(data.type); @@ -362,7 +363,7 @@ export default function Page({ }; paste( { nodes: [newNode], edges: [] }, - { x: event.clientX, y: event.clientY } + { x: event.clientX, y: event.clientY }, ); } else if (event.dataTransfer.types.some((types) => types === "Files")) { takeSnapshot(); @@ -391,7 +392,7 @@ export default function Page({ } }, // Specify dependencies for useCallback - [getNodeId, setNodes, takeSnapshot, paste] + [getNodeId, setNodes, takeSnapshot, paste], ); const onEdgeUpdateStart = useCallback(() => { @@ -407,7 +408,7 @@ export default function Page({ setEdges((els) => updateEdge(oldEdge, newConnection, els)); } }, - [setEdges] + [setEdges], ); const onEdgeUpdateEnd = useCallback((_, edge: Edge): void => { @@ -440,7 +441,7 @@ export default function Page({ (flow: OnSelectionChangeParams): void => { setLastSelection(flow); }, - [] + [], ); const onPaneClick = useCallback((flow) => { diff --git a/src/frontend/src/pages/FlowPage/components/nodeToolbarComponent/index.tsx b/src/frontend/src/pages/FlowPage/components/nodeToolbarComponent/index.tsx index 8d3097344..8052984f8 100644 --- a/src/frontend/src/pages/FlowPage/components/nodeToolbarComponent/index.tsx +++ b/src/frontend/src/pages/FlowPage/components/nodeToolbarComponent/index.tsx @@ -57,17 +57,17 @@ export default function NodeToolbarComponent({ const nodeLength = Object.keys(data.node!.template).filter( (templateField) => templateField.charAt(0) !== "_" && - data.node?.template[templateField].show && - (data.node.template[templateField].type === "str" || - data.node.template[templateField].type === "bool" || - data.node.template[templateField].type === "float" || - data.node.template[templateField].type === "code" || - data.node.template[templateField].type === "prompt" || - data.node.template[templateField].type === "file" || - data.node.template[templateField].type === "Any" || - data.node.template[templateField].type === "int" || - data.node.template[templateField].type === "dict" || - data.node.template[templateField].type === "NestedDict") + data.node?.template[templateField]?.show && + (data.node.template[templateField]?.type === "str" || + data.node.template[templateField]?.type === "bool" || + data.node.template[templateField]?.type === "float" || + data.node.template[templateField]?.type === "code" || + data.node.template[templateField]?.type === "prompt" || + data.node.template[templateField]?.type === "file" || + data.node.template[templateField]?.type === "Any" || + data.node.template[templateField]?.type === "int" || + data.node.template[templateField]?.type === "dict" || + data.node.template[templateField]?.type === "NestedDict") ).length; const hasStore = useStoreStore((state) => state.hasStore); @@ -626,7 +626,7 @@ export default function NodeToolbarComponent({ /> )} - {(!hasStore || !hasApiKey || !validApiKey) && ( + {/* {(!hasStore || !hasApiKey || !validApiKey) && ( - )} + )} */} - - obj.name === "Download")?.shortcut! - } - value={"Download"} - icon={"Download"} - dataTestId="download-button-modal" - /> - + {(!hasStore || !hasApiKey || !validApiKey) && ( + + obj.name === "Download") + ?.shortcut! + } + value={"Download"} + icon={"Download"} + dataTestId="download-button-modal" + /> + + )} (CONTROL_LOGIN_STATE); const { password, username } = inputState; - const { login, isAuthenticated, setUserData, setIsAdmin } = - useContext(AuthContext); + const { login } = useContext(AuthContext); const navigate = useNavigate(); const setErrorData = useAlertStore((state) => state.setErrorData); + const setLoading = useFlowsManagerStore((state) => state.setIsLoading); function handleInput({ target: { name, value }, @@ -38,6 +39,9 @@ export default function LoginPage(): JSX.Element { }; onLogin(user) .then((user) => { + console.log("login page"); + + setLoading(true); login(user.access_token); navigate("/"); }) diff --git a/src/frontend/src/pages/MainPage/components/myCollectionComponent/components/headerTabsSearchComponent/index.tsx b/src/frontend/src/pages/MainPage/components/myCollectionComponent/components/headerTabsSearchComponent/index.tsx index 17916f05b..b023216ab 100644 --- a/src/frontend/src/pages/MainPage/components/myCollectionComponent/components/headerTabsSearchComponent/index.tsx +++ b/src/frontend/src/pages/MainPage/components/myCollectionComponent/components/headerTabsSearchComponent/index.tsx @@ -1,39 +1,19 @@ import { useState } from "react"; -import { useLocation } from "react-router-dom"; -import useAlertStore from "../../../../../../stores/alertStore"; import useFlowsManagerStore from "../../../../../../stores/flowsManagerStore"; -import { useFolderStore } from "../../../../../../stores/foldersStore"; -import { handleDownloadFolderFn } from "../../../../utils/handle-download-folder"; import InputSearchComponent from "../inputSearchComponent"; import TabsSearchComponent from "../tabsComponent"; type HeaderTabsSearchComponentProps = {}; const HeaderTabsSearchComponent = ({}: HeaderTabsSearchComponentProps) => { - const location = useLocation(); - const myCollectionId = useFolderStore((state) => state.myCollectionId); - const folderId = location?.state?.folderId || myCollectionId; const isLoading = useFlowsManagerStore((state) => state.isLoading); const [tabActive, setTabActive] = useState("Flows"); - const setErrorData = useAlertStore((state) => state.setErrorData); - const allFlows = useFlowsManagerStore((state) => state.allFlows); const [inputValue, setInputValue] = useState(""); const setSearchFlowsComponents = useFlowsManagerStore( (state) => state.setSearchFlowsComponents ); - const handleDownloadFolder = () => { - if (allFlows.length === 0) { - setErrorData({ - title: "Folder is empty", - list: [], - }); - return; - } - handleDownloadFolderFn(folderId); - }; - return ( <>
diff --git a/src/frontend/src/pages/MainPage/hooks/use-delete-folder.tsx b/src/frontend/src/pages/MainPage/hooks/use-delete-folder.tsx index 257f1b6d2..0d093bc32 100644 --- a/src/frontend/src/pages/MainPage/hooks/use-delete-folder.tsx +++ b/src/frontend/src/pages/MainPage/hooks/use-delete-folder.tsx @@ -2,11 +2,12 @@ import useAlertStore from "../../../stores/alertStore"; import { useFolderStore } from "../../../stores/foldersStore"; import { deleteFolder, getFolderById } from "../services"; -const useDeleteFolder = ({ navigate, getFoldersApi }) => { +const useDeleteFolder = ({ navigate }) => { const setSuccessData = useAlertStore((state) => state.setSuccessData); const setErrorData = useAlertStore((state) => state.setErrorData); const folderToEdit = useFolderStore((state) => state.folderToEdit); const myCollectionId = useFolderStore((state) => state.myCollectionId); + const getFoldersApi = useFolderStore((state) => state.getFoldersApi); const handleDeleteFolder = () => { deleteFolder(folderToEdit?.id!) diff --git a/src/frontend/src/pages/MainPage/pages/mainPage/index.tsx b/src/frontend/src/pages/MainPage/pages/mainPage/index.tsx index 0daa61257..39add5211 100644 --- a/src/frontend/src/pages/MainPage/pages/mainPage/index.tsx +++ b/src/frontend/src/pages/MainPage/pages/mainPage/index.tsx @@ -25,16 +25,9 @@ export default function HomePage(): JSX.Element { const [openFolderModal, setOpenFolderModal] = useState(false); const [openDeleteFolderModal, setOpenDeleteFolderModal] = useState(false); const is_component = pathname === "/components"; - const getFoldersApi = useFolderStore((state) => state.getFoldersApi); const setFolderToEdit = useFolderStore((state) => state.setFolderToEdit); const navigate = useNavigate(); - useEffect(() => { - setTimeout(() => { - getFoldersApi(); - }, 300); - }, []); - useEffect(() => { setCurrentFlowId(""); }, [pathname]); @@ -45,7 +38,7 @@ export default function HomePage(): JSX.Element { is_component, }); - const { handleDeleteFolder } = useDeleteFolder({ navigate, getFoldersApi }); + const { handleDeleteFolder } = useDeleteFolder({ navigate }); return ( <> diff --git a/src/frontend/src/pages/SettingsPage/pages/GeneralPage/components/ProfilePictureForm/index.tsx b/src/frontend/src/pages/SettingsPage/pages/GeneralPage/components/ProfilePictureForm/index.tsx index 908cea255..935d96c25 100644 --- a/src/frontend/src/pages/SettingsPage/pages/GeneralPage/components/ProfilePictureForm/index.tsx +++ b/src/frontend/src/pages/SettingsPage/pages/GeneralPage/components/ProfilePictureForm/index.tsx @@ -45,9 +45,9 @@ const ProfilePictureFormComponent = ({ } else { prev[folder] = [path]; } + setLoading(false); return prev; }); - setLoading(false); }); } }) diff --git a/src/frontend/src/pages/SettingsPage/pages/messagesPage/index.tsx b/src/frontend/src/pages/SettingsPage/pages/messagesPage/index.tsx index 84f1894dd..59ae0a17a 100644 --- a/src/frontend/src/pages/SettingsPage/pages/messagesPage/index.tsx +++ b/src/frontend/src/pages/SettingsPage/pages/messagesPage/index.tsx @@ -27,7 +27,7 @@ export default function MessagesPage() { setSelectedRows, setSuccessData, setErrorData, - selectedRows, + selectedRows ); const { handleUpdate } = useUpdateMessage(setSuccessData, setErrorData); @@ -61,7 +61,7 @@ export default function MessagesPage() { overlayNoRowsTemplate="No data available" onSelectionChanged={(event: SelectionChangedEvent) => { setSelectedRows( - event.api.getSelectedRows().map((row) => row.index), + event.api.getSelectedRows().map((row) => row.index) ); }} rowSelection="multiple" diff --git a/src/frontend/src/stores/foldersStore.tsx b/src/frontend/src/stores/foldersStore.tsx index 25247ce76..8e42026b4 100644 --- a/src/frontend/src/stores/foldersStore.tsx +++ b/src/frontend/src/stores/foldersStore.tsx @@ -7,20 +7,21 @@ import { } from "../pages/MainPage/services"; import { FoldersStoreType } from "../types/zustand/folders"; import useFlowsManagerStore from "./flowsManagerStore"; +import { useTypesStore } from "./typesStore"; export const useFolderStore = create((set, get) => ({ folders: [], - getFoldersApi: (refetch = false) => { + getFoldersApi: (refetch = false, startupApplication: boolean = false) => { return new Promise((resolve, reject) => { if (get()?.folders.length === 0 || refetch === true) { - get().setLoading(true); + get().setIsLoadingFolders(true); getFolders().then( - (res) => { - const foldersWithoutStarterProjects = res.filter( + async (res) => { + const foldersWithoutStarterProjects = res?.filter( (folder) => folder.name !== STARTER_FOLDER_NAME ); - const starterProjects = res.find( + const starterProjects = res?.find( (folder) => folder.name === STARTER_FOLDER_NAME ); @@ -33,45 +34,77 @@ export const useFolderStore = create((set, get) => ({ set({ myCollectionId }); - if (refetch === true) { - useFlowsManagerStore.getState().refreshFlows(); - useFlowsManagerStore.getState().setAllFlows; - } + const { refreshFlows } = useFlowsManagerStore.getState(); + const { getTypes } = useTypesStore.getState(); + const { setIsLoadingFolders } = get(); + + if (refetch) { + if (startupApplication) { + await refreshFlows(); + await getTypes(); + } else { + refreshFlows(); + getTypes(); + } + } + setIsLoadingFolders(false); - get().setLoading(false); resolve(); }, (error) => { set({ folders: [] }); - get().setLoading(false); + get().setIsLoadingFolders(false); reject(error); } ); } }); }, - setFolders: (folders) => set(() => ({ folders: folders })), - loading: false, - setLoading: (loading) => set(() => ({ loading: loading })), - getFolderById: (id) => { - get().setLoadingById(true); - if (id) { - getFolderById(id).then( - (res) => { - const setAllFlows = useFlowsManagerStore.getState().setAllFlows; - setAllFlows(res.flows); - set({ selectedFolder: res }); - get().setLoadingById(false); + refreshFolders: () => { + return new Promise((resolve, reject) => { + getFolders().then( + async (res) => { + const foldersWithoutStarterProjects = res?.filter( + (folder) => folder.name !== STARTER_FOLDER_NAME + ); + + const starterProjects = res?.find( + (folder) => folder.name === STARTER_FOLDER_NAME + ); + + set({ starterProjectId: starterProjects!.id ?? "" }); + set({ folders: foldersWithoutStarterProjects }); + + const myCollectionId = res?.find( + (f) => f.name === DEFAULT_FOLDER + )?.id; + + set({ myCollectionId }); + + resolve(); }, - () => { - get().setLoadingById(false); + (error) => { + set({ folders: [] }); + get().setIsLoadingFolders(false); + reject(error); } ); + }); + }, + setFolders: (folders) => set(() => ({ folders: folders })), + isLoadingFolders: false, + setIsLoadingFolders: (isLoadingFolders) => set(() => ({ isLoadingFolders })), + getFolderById: (id) => { + if (id) { + getFolderById(id).then((res) => { + const setAllFlows = useFlowsManagerStore.getState().setAllFlows; + setAllFlows(res.flows); + set({ selectedFolder: res }); + }); } }, selectedFolder: null, loadingById: false, - setLoadingById: (loading) => set(() => ({ loadingById: loading })), getMyCollectionFolder: () => { const folders = get().folders; const myCollectionId = folders?.find((f) => f.name === DEFAULT_FOLDER)?.id; diff --git a/src/frontend/src/types/api/index.ts b/src/frontend/src/types/api/index.ts index 49d94a350..1b6705097 100644 --- a/src/frontend/src/types/api/index.ts +++ b/src/frontend/src/types/api/index.ts @@ -177,6 +177,7 @@ export type VertexBuildTypeAPI = { timestamp: string; params: any; messages: ChatOutputType[] | ChatInputType[]; + artifacts: any | ChatOutputType | ChatInputType; }; export type LogType = { diff --git a/src/frontend/src/types/components/index.ts b/src/frontend/src/types/components/index.ts index 5dbfd7b88..d362c7d75 100644 --- a/src/frontend/src/types/components/index.ts +++ b/src/frontend/src/types/components/index.ts @@ -75,7 +75,7 @@ export type ParameterComponentType = { info?: string; proxy?: { field: string; id: string }; showNode?: boolean; - index: number; + index?: string; onCloseModal?: (close: boolean) => void; outputName?: string; outputProxy?: OutputFieldProxyType; @@ -511,7 +511,7 @@ export type ChatInputType = { isDragging: boolean; files: FilePreviewType[]; setFiles: ( - files: FilePreviewType[] | ((prev: FilePreviewType[]) => FilePreviewType[]) + files: FilePreviewType[] | ((prev: FilePreviewType[]) => FilePreviewType[]), ) => void; chatValue: string; inputRef: { @@ -614,7 +614,7 @@ export type chatMessagePropsType = { updateChat: ( chat: ChatMessageType, message: string, - stream_url?: string + stream_url?: string, ) => void; }; diff --git a/src/frontend/src/types/zustand/folders/index.ts b/src/frontend/src/types/zustand/folders/index.ts index 2c5b2b96b..45c1e0bd9 100644 --- a/src/frontend/src/types/zustand/folders/index.ts +++ b/src/frontend/src/types/zustand/folders/index.ts @@ -2,14 +2,15 @@ import { FolderType } from "../../../pages/MainPage/entities"; export type FoldersStoreType = { folders: FolderType[]; - getFoldersApi: (refetch?: boolean) => Promise; + getFoldersApi: ( + refetch?: boolean, + startupApplication?: boolean + ) => Promise; setFolders: (folders: FolderType[]) => void; - loading: boolean; - setLoading: (loading: boolean) => void; + isLoadingFolders: boolean; + setIsLoadingFolders: (isLoadingFolders: boolean) => void; selectedFolder: FolderType | null; getFolderById: (id: string) => void; - loadingById: boolean; - setLoadingById: (loading: boolean) => void; getMyCollectionFolder: () => void; myCollectionFlows: FolderType | null; myCollectionId: string | null; @@ -25,4 +26,5 @@ export type FoldersStoreType = { setFolderIdDragging: (id: string) => void; starterProjectId: string; setStarterProjectId: (id: string) => void; + refreshFolders: () => void; }; diff --git a/src/frontend/src/utils/buildUtils.ts b/src/frontend/src/utils/buildUtils.ts index f12d582a7..73eb4afce 100644 --- a/src/frontend/src/utils/buildUtils.ts +++ b/src/frontend/src/utils/buildUtils.ts @@ -17,7 +17,7 @@ type BuildVerticesParams = { onBuildUpdate?: ( data: VertexBuildTypeAPI, status: BuildStatus, - buildId: string + buildId: string, ) => void; // Replace any with the actual type if it's not any onBuildComplete?: (allNodesValid: boolean) => void; onBuildError?: (title, list, idList: VertexLayerElementType[]) => void; @@ -55,7 +55,7 @@ export async function updateVerticesOrder( startNodeId?: string | null, stopNodeId?: string | null, nodes?: Node[], - edges?: Edge[] + edges?: Edge[], ): Promise<{ verticesLayers: VertexLayerElementType[][]; verticesIds: string[]; @@ -71,7 +71,7 @@ export async function updateVerticesOrder( startNodeId, stopNodeId, nodes, - edges + edges, ); } catch (error: any) { setErrorData({ @@ -128,7 +128,7 @@ export async function buildVertices({ startNodeId, stopNodeId, nodes, - edges + edges, ); if (onValidateNodes) { try { @@ -162,7 +162,6 @@ export async function buildVertices({ const currentLayer = useFlowStore.getState().verticesBuild?.verticesLayers![currentLayerIndex]; // If there are no more layers, we are done - console.log("currentLayer", currentLayer); if (!currentLayer) { if (onBuildComplete) { const allNodesValid = buildResults.every((result) => result); @@ -191,14 +190,14 @@ export async function buildVertices({ onBuildUpdate( getInactiveVertexData(element.id), BuildStatus.INACTIVE, - runId + runId, ); } if (element.reference) { onBuildUpdate( getInactiveVertexData(element.reference), BuildStatus.INACTIVE, - runId + runId, ); } buildResults.push(false); @@ -224,7 +223,7 @@ export async function buildVertices({ if (stop) { return; } - }) + }), ); // Once the current layer is built, move to the next layer currentLayerIndex += 1; @@ -289,7 +288,10 @@ async function buildVertex({ console.error(error); onBuildError!( "Error Building Component", - [(error as AxiosError).response?.data?.detail ?? "Unknown Error"], + [ + (error as AxiosError).response?.data?.detail ?? + "An unexpected error occurred while building the Component. Please try again.", + ], verticesIds.map((id) => ({ id })) ); stopBuild(); diff --git a/src/frontend/src/utils/utils.ts b/src/frontend/src/utils/utils.ts index aaae69c7b..92e0efe98 100644 --- a/src/frontend/src/utils/utils.ts +++ b/src/frontend/src/utils/utils.ts @@ -56,7 +56,7 @@ export function normalCaseToSnakeCase(str: string): string { export function toTitleCase( str: string | undefined, - isNodeField?: boolean, + isNodeField?: boolean ): string { if (!str) return ""; let result = str @@ -65,7 +65,7 @@ export function toTitleCase( if (isNodeField) return word; if (index === 0) { return checkUpperWords( - word[0].toUpperCase() + word.slice(1).toLowerCase(), + word[0].toUpperCase() + word.slice(1).toLowerCase() ); } return checkUpperWords(word.toLowerCase()); @@ -78,7 +78,7 @@ export function toTitleCase( if (isNodeField) return word; if (index === 0) { return checkUpperWords( - word[0].toUpperCase() + word.slice(1).toLowerCase(), + word[0].toUpperCase() + word.slice(1).toLowerCase() ); } return checkUpperWords(word.toLowerCase()); @@ -182,7 +182,7 @@ export function checkLocalStorageKey(key: string): boolean { export function IncrementObjectKey( object: object, - key: string, + key: string ): { newKey: string; increment: number } { let count = 1; const type = removeCountFromString(key); @@ -217,7 +217,7 @@ export function groupByFamily( data: APIDataType, baseClasses: string, left: boolean, - flow?: NodeType[], + flow?: NodeType[] ): groupedObjType[] { const baseClassesSet = new Set(baseClasses.split("\n")); let arrOfPossibleInputs: Array<{ @@ -237,13 +237,13 @@ export function groupByFamily( const checkBaseClass = (template: InputFieldType) => { return ( - template.type && - template.show && + template?.type && + template?.show && ((!excludeTypes.has(template.type) && baseClassesSet.has(template.type)) || - (template.input_types && - template.input_types.some((inputType) => - baseClassesSet.has(inputType), + (template?.input_types && + template?.input_types.some((inputType) => + baseClassesSet.has(inputType) ))) ); }; @@ -263,7 +263,7 @@ export function groupByFamily( hasBaseClassInBaseClasses: foundNode?.hasBaseClassInBaseClasses || nodeData.node!.base_classes?.some((baseClass) => - baseClassesSet.has(baseClass), + baseClassesSet.has(baseClass) ), //seta como anterior ou verifica se o node tem base class displayName: nodeData.node?.display_name, }); @@ -280,10 +280,10 @@ export function groupByFamily( if (!foundNode) { foundNode = { hasBaseClassInTemplate: Object.values(node!.template).some( - checkBaseClass, + checkBaseClass ), hasBaseClassInBaseClasses: node!.base_classes?.some((baseClass) => - baseClassesSet.has(baseClass), + baseClassesSet.has(baseClass) ), displayName: node?.display_name, }; @@ -355,7 +355,7 @@ export function isTimeStampString(str: string): boolean { export function extractColumnsFromRows( rows: object[], mode: "intersection" | "union", - excludeColumns?: Array, + excludeColumns?: Array ): (ColDef | ColGroupDef)[] { let columnsKeys: { [key: string]: ColDef | ColGroupDef } = {}; if (rows.length === 0) { diff --git a/src/frontend/tests/end-to-end/codeAreaModalComponent.spec.ts b/src/frontend/tests/end-to-end/codeAreaModalComponent.spec.ts index 577c138a3..6d9ac2d02 100644 --- a/src/frontend/tests/end-to-end/codeAreaModalComponent.spec.ts +++ b/src/frontend/tests/end-to-end/codeAreaModalComponent.spec.ts @@ -40,6 +40,7 @@ test("CodeAreaModalComponent", async ({ page }) => { await page.getByTitle("zoom out").click(); await page.getByTitle("zoom out").click(); await page.getByTestId("div-generic-node").click(); + await page.getByTestId("code-button-modal").click(); const wCode = diff --git a/tests/test_user.py b/tests/test_user.py index 5f894e801..759ce6aaf 100644 --- a/tests/test_user.py +++ b/tests/test_user.py @@ -1,6 +1,7 @@ from datetime import datetime import pytest + from langflow.services.auth.utils import create_super_user, get_password_hash from langflow.services.database.models.user import UserUpdate from langflow.services.database.models.user.model import User @@ -95,7 +96,7 @@ def test_data_consistency_after_update(client, active_user, logged_in_headers, s # Fetch the updated user from the database response = client.get("/api/v1/users/whoami", headers=logged_in_headers) assert response.status_code == 401, response.json() - assert response.json()["detail"] == "Could not validate credentials" + assert response.json()["detail"] == "User not found or is inactive." def test_data_consistency_after_delete(client, test_user, super_user_headers):