diff --git a/.env.example b/.env.example index c03638072..b3e592bdf 100644 --- a/.env.example +++ b/.env.example @@ -46,10 +46,20 @@ LANGFLOW_OPEN_BROWSER= # Example: LANGFLOW_REMOVE_API_KEYS=false LANGFLOW_REMOVE_API_KEYS= +# Whether to use RedisCache or InMemoryCache +# Values: memory, redis +# Example: LANGFLOW_CACHE_TYPE=memory +# If you want to use redis then the following environment variables must be set: +# LANGFLOW_REDIS_HOST (default: localhost) +# LANGFLOW_REDIS_PORT (default: 6379) +# LANGFLOW_REDIS_DB (default: 0) +# LANGFLOW_REDIS_CACHE_EXPIRE (default: 3600) +LANGFLOW_CACHE_TYPE= + # Superuser username # Example: LANGFLOW_SUPERUSER=admin LANGFLOW_SUPERUSER= # Superuser password # Example: LANGFLOW_SUPERUSER_PASSWORD=123456 -LANGFLOW_SUPERUSER_PASSWORD= \ No newline at end of file +LANGFLOW_SUPERUSER_PASSWORD= diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml new file mode 100644 index 000000000..d81146d19 --- /dev/null +++ b/.github/workflows/ci.yml @@ -0,0 +1,44 @@ +name: "Async API tests" + +on: + push: + branches: + - dev + pull_request: + branches: + - dev + - main + +jobs: + build-and-test: + runs-on: ubuntu-latest + env: + OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }} + steps: + - name: Checkout code + uses: actions/checkout@v2 + + - name: Cache Docker layers + uses: actions/cache@v2 + with: + path: /tmp/.buildx-cache + key: ${{ runner.os }}-buildx-${{ github.sha }} + restore-keys: | + ${{ runner.os }}-buildx- + + - name: Set up Docker + run: docker --version && docker-compose --version + + - name: "Create env file" + working-directory: ./deploy + run: | + echo "${{ secrets.ENV_FILE }}" > .env + + - name: Build and start services + + working-directory: ./deploy + run: docker compose up --exit-code-from tests tests result_backend broker celeryworker db --build + continue-on-error: true + + - name: Stop services + run: docker compose down diff --git a/.github/workflows/test.yml b/.github/workflows/test.yml index e009534c2..bc2e193c6 100644 --- a/.github/workflows/test.yml +++ b/.github/workflows/test.yml @@ -7,7 +7,7 @@ on: branches: [dev] env: - POETRY_VERSION: "1.4.0" + POETRY_VERSION: "1.5.0" jobs: build: @@ -16,6 +16,8 @@ jobs: matrix: python-version: - "3.10" + env: + OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }} steps: - uses: actions/checkout@v3 - name: Install poetry diff --git a/.gitignore b/.gitignore index 156f44394..9b8ec1cc1 100644 --- a/.gitignore +++ b/.gitignore @@ -254,3 +254,4 @@ langflow.db /tmp/* src/backend/langflow/frontend/ +.docker \ No newline at end of file diff --git a/Makefile b/Makefile index 2fe79291e..65d4253f0 100644 --- a/Makefile +++ b/Makefile @@ -61,7 +61,7 @@ frontendc: make run_frontend install_backend: - poetry install + poetry install --extras deploy backend: make install_backend diff --git a/base.Dockerfile b/base.Dockerfile new file mode 100644 index 000000000..c76bbbcda --- /dev/null +++ b/base.Dockerfile @@ -0,0 +1,97 @@ + + +# syntax=docker/dockerfile:1 +# Keep this syntax directive! It's used to enable Docker BuildKit + +# Based on https://github.com/python-poetry/poetry/discussions/1879?sort=top#discussioncomment-216865 +# but I try to keep it updated (see history) + +################################ +# PYTHON-BASE +# Sets up all our shared environment variables +################################ +FROM python:3.10-slim as python-base + +# python +ENV PYTHONUNBUFFERED=1 \ + # prevents python creating .pyc files + PYTHONDONTWRITEBYTECODE=1 \ + \ + # pip + PIP_DISABLE_PIP_VERSION_CHECK=on \ + PIP_DEFAULT_TIMEOUT=100 \ + \ + # poetry + # https://python-poetry.org/docs/configuration/#using-environment-variables + POETRY_VERSION=1.5.1 \ + # make poetry install to this location + POETRY_HOME="/opt/poetry" \ + # make poetry create the virtual environment in the project's root + # it gets named `.venv` + POETRY_VIRTUALENVS_IN_PROJECT=true \ + # do not ask any interactive question + POETRY_NO_INTERACTION=1 \ + \ + # paths + # this is where our requirements + virtual environment will live + PYSETUP_PATH="/opt/pysetup" \ + VENV_PATH="/opt/pysetup/.venv" + + +# prepend poetry and venv to path +ENV PATH="$POETRY_HOME/bin:$VENV_PATH/bin:$PATH" + + +################################ +# BUILDER-BASE +# Used to build deps + create our virtual environment +################################ +FROM python-base as builder-base +RUN apt-get update \ + && apt-get install --no-install-recommends -y \ + # deps for installing poetry + curl \ + # deps for building python deps + build-essential + + +# install poetry - respects $POETRY_VERSION & $POETRY_HOME +# The --mount will mount the buildx cache directory to where +# Poetry and Pip store their cache so that they can re-use it +RUN --mount=type=cache,target=/root/.cache \ + curl -sSL https://install.python-poetry.org | python3 - + +# copy project requirement files here to ensure they will be cached. +WORKDIR $PYSETUP_PATH +COPY poetry.lock pyproject.toml ./ +COPY ./src/backend/langflow/main.py ./src/backend/langflow/main.py +# Copy README.md to the build context +COPY README.md . +# install runtime deps - uses $POETRY_VIRTUALENVS_IN_PROJECT internally +RUN --mount=type=cache,target=/root/.cache \ + poetry install --without dev --extras deploy + + +################################ +# DEVELOPMENT +# Image used during development / testing +################################ +FROM python-base as development +WORKDIR $PYSETUP_PATH + +# copy in our built poetry + venv +COPY --from=builder-base $POETRY_HOME $POETRY_HOME +COPY --from=builder-base $PYSETUP_PATH $PYSETUP_PATH + +# Copy just one file to avoid rebuilding the whole image +COPY ./src/backend/langflow/__init__.py ./src/backend/langflow/__init__.py +# quicker install as runtime deps are already installed +RUN --mount=type=cache,target=/root/.cache \ + poetry install --with=dev --extras deploy + +# copy in our app code +COPY ./src/backend ./src/backend +RUN --mount=type=cache,target=/root/.cache \ + poetry install --with=dev --extras deploy +COPY ./tests ./tests= + diff --git a/deploy/.env.example b/deploy/.env.example new file mode 100644 index 000000000..e67307406 --- /dev/null +++ b/deploy/.env.example @@ -0,0 +1,57 @@ +DOMAIN=localhost +STACK_NAME=langflow-stack +ENVIRONMENT=development + +TRAEFIK_PUBLIC_NETWORK=traefik-public +TRAEFIK_TAG=langflow-traefik +TRAEFIK_PUBLIC_TAG=traefik-public + +# RabbitMQ configuration +RABBITMQ_DEFAULT_USER=langflow +RABBITMQ_DEFAULT_PASS=langflow + +# Database configuration +DB_USER=langflow +DB_PASSWORD=langflow +DB_HOST=db +DB_PORT=5432 +DB_NAME=langflow + +# Logging configuration +LOG_LEVEL=debug + +# DB configuration +POSTGRES_USER=langflow +POSTGRES_PASSWORD=langflow +POSTGRES_DB=langflow +POSTGRES_PORT=5432 + +# Flower configuration +LANGFLOW_CACHE_TYPE=redis +LANGFLOW_REDIS_HOST=result_backend +LANGFLOW_REDIS_PORT=6379 +LANGFLOW_REDIS_DB=0 +LANGFLOW_REDIS_EXPIRE=3600 +LANGFLOW_REDIS_PASSWORD= +FLOWER_UNAUTHENTICATED_API=True +BROKER_URL=amqp://langflow:langflow@broker:5672 +RESULT_BACKEND=redis://result_backend:6379/0 +C_FORCE_ROOT="true" + +# Frontend configuration +VITE_PROXY_TARGET=http://backend:7860/api/ +BACKEND_URL=http://backend:7860 + +# PGAdmin configuration +PGADMIN_DEFAULT_EMAIL=admin@admin.com +PGADMIN_DEFAULT_PASSWORD=admin + +# OpenAI configuration (for testing purposes) +OPENAI_API_KEY=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 + +# Superuser configuration +LANGFLOW_SUPERUSER=superuser +LANGFLOW_SUPERUSER_PASSWORD=superuser + +# New user configuration +LANGFLOW_NEW_USER_IS_ACTIVE=False \ No newline at end of file diff --git a/deploy/.gitignore b/deploy/.gitignore new file mode 100644 index 000000000..fdbcefec6 --- /dev/null +++ b/deploy/.gitignore @@ -0,0 +1 @@ +pgadmin \ No newline at end of file diff --git a/deploy/base.Dockerfile b/deploy/base.Dockerfile new file mode 100644 index 000000000..323663283 --- /dev/null +++ b/deploy/base.Dockerfile @@ -0,0 +1,92 @@ + + +# syntax=docker/dockerfile:1 +# Keep this syntax directive! It's used to enable Docker BuildKit + +# Based on https://github.com/python-poetry/poetry/discussions/1879?sort=top#discussioncomment-216865 +# but I try to keep it updated (see history) + +################################ +# PYTHON-BASE +# Sets up all our shared environment variables +################################ +FROM python:3.10-slim as python-base + +# python +ENV PYTHONUNBUFFERED=1 \ + # prevents python creating .pyc files + PYTHONDONTWRITEBYTECODE=1 \ + \ + # pip + PIP_DISABLE_PIP_VERSION_CHECK=on \ + PIP_DEFAULT_TIMEOUT=100 \ + \ + # poetry + # https://python-poetry.org/docs/configuration/#using-environment-variables + POETRY_VERSION=1.5.1 \ + # make poetry install to this location + POETRY_HOME="/opt/poetry" \ + # make poetry create the virtual environment in the project's root + # it gets named `.venv` + POETRY_VIRTUALENVS_IN_PROJECT=true \ + # do not ask any interactive question + POETRY_NO_INTERACTION=1 \ + \ + # paths + # this is where our requirements + virtual environment will live + PYSETUP_PATH="/opt/pysetup" \ + VENV_PATH="/opt/pysetup/.venv" + + +# prepend poetry and venv to path +ENV PATH="$POETRY_HOME/bin:$VENV_PATH/bin:$PATH" + + +################################ +# BUILDER-BASE +# Used to build deps + create our virtual environment +################################ +FROM python-base as builder-base +RUN apt-get update \ + && apt-get install --no-install-recommends -y \ + # deps for installing poetry + curl \ + # deps for building python deps + build-essential + +# install poetry - respects $POETRY_VERSION & $POETRY_HOME +# The --mount will mount the buildx cache directory to where +# Poetry and Pip store their cache so that they can re-use it +RUN --mount=type=cache,target=/root/.cache \ + curl -sSL https://install.python-poetry.org | python3 - + +# copy project requirement files here to ensure they will be cached. +WORKDIR $PYSETUP_PATH +COPY ./poetry.lock ./pyproject.toml ./ +# Copy README.md to the build context +COPY ./README.md ./ +# install runtime deps - uses $POETRY_VIRTUALENVS_IN_PROJECT internally +RUN --mount=type=cache,target=/root/.cache \ + poetry install --without dev --extras deploy + + +################################ +# DEVELOPMENT +# Image used during development / testing +################################ +FROM python-base as development +WORKDIR $PYSETUP_PATH + +# copy in our built poetry + venv +COPY --from=builder-base $POETRY_HOME $POETRY_HOME +COPY --from=builder-base $PYSETUP_PATH $PYSETUP_PATH + +# Copy just one file to avoid rebuilding the whole image +COPY ./src/backend/langflow/__init__.py ./src/backend/langflow/__init__.py +# quicker install as runtime deps are already installed +RUN --mount=type=cache,target=/root/.cache \ + poetry install --with=dev --extras deploy + +# copy in our app code +COPY ./src/backend ./src/backend +COPY ./tests ./tests diff --git a/deploy/docker-compose.override.yml b/deploy/docker-compose.override.yml new file mode 100644 index 000000000..e5c0d9dd7 --- /dev/null +++ b/deploy/docker-compose.override.yml @@ -0,0 +1,66 @@ +version: "3.8" +services: + proxy: + ports: + - "80:80" + - "8090:8080" + command: + # Enable Docker in Traefik, so that it reads labels from Docker services + - --providers.docker + # Add a constraint to only use services with the label for this stack + # from the env var TRAEFIK_TAG + - --providers.docker.constraints=Label(`traefik.constraint-label-stack`, `${TRAEFIK_TAG?Variable not set}`) + # Do not expose all Docker services, only the ones explicitly exposed + - --providers.docker.exposedbydefault=false + # Disable Docker Swarm mode for local development + # - --providers.docker.swarmmode + # Enable the access log, with HTTP requests + - --accesslog + # Enable the Traefik log, for configurations and errors + - --log + # Enable the Dashboard and API + - --api + # Enable the Dashboard and API in insecure mode for local development + - --api.insecure=true + labels: + - traefik.enable=true + - traefik.http.routers.${STACK_NAME?Variable not set}-traefik-public-http.rule=Host(`${DOMAIN?Variable not set}`) + - traefik.http.services.${STACK_NAME?Variable not set}-traefik-public.loadbalancer.server.port=80 + + result_backend: + ports: + - "6379:6379" + + pgadmin: + ports: + - "5050:5050" + + flower: + ports: + - "5555:5555" + + backend: + labels: + - traefik.enable=true + - traefik.constraint-label-stack=${TRAEFIK_TAG?Variable not set} + - traefik.http.routers.${STACK_NAME?Variable not set}-backend-http.rule=PathPrefix(`/api/v1`) || PathPrefix(`/docs`) || PathPrefix(`/health`) + - traefik.http.services.${STACK_NAME?Variable not set}-backend.loadbalancer.server.port=7860 + + frontend: + labels: + - traefik.enable=true + - traefik.constraint-label-stack=${TRAEFIK_TAG?Variable not set} + - traefik.http.routers.${STACK_NAME?Variable not set}-frontend-http.rule=PathPrefix(`/`) + - traefik.http.services.${STACK_NAME?Variable not set}-frontend.loadbalancer.server.port=80 + + celeryworker: + labels: + - traefik.enable=true + - traefik.constraint-label-stack=${TRAEFIK_TAG?Variable not set} + - traefik.http.routers.${STACK_NAME?Variable not set}-celeryworker-http.rule=PathPrefix(`/api/v1`) || PathPrefix(`/docs`) || PathPrefix(`/health`) + - traefik.http.services.${STACK_NAME?Variable not set}-celeryworker.loadbalancer.server.port=7860 + +networks: + traefik-public: + # For local dev, don't expect an external Traefik network + external: false diff --git a/deploy/docker-compose.test.yml b/deploy/docker-compose.test.yml new file mode 100644 index 000000000..829aae883 --- /dev/null +++ b/deploy/docker-compose.test.yml @@ -0,0 +1,85 @@ +version: "3.8" +services: + proxy: + ports: + - "80:80" + - "8090:8080" + command: + # Enable Docker in Traefik, so that it reads labels from Docker services + - --providers.docker + # Add a constraint to only use services with the label for this stack + # from the env var TRAEFIK_TAG + - --providers.docker.constraints=Label(`traefik.constraint-label-stack`, `${TRAEFIK_TAG?Variable not set}`) + # Do not expose all Docker services, only the ones explicitly exposed + - --providers.docker.exposedbydefault=false + # Disable Docker Swarm mode for local development + # - --providers.docker.swarmmode + # Enable the access log, with HTTP requests + - --accesslog + # Enable the Traefik log, for configurations and errors + - --log + # Enable the Dashboard and API + - --api + # Enable the Dashboard and API in insecure mode for local development + - --api.insecure=true + labels: + - traefik.enable=true + - traefik.http.routers.${STACK_NAME?Variable not set}-traefik-public-http.rule=Host(`${DOMAIN?Variable not set}`) + - traefik.http.services.${STACK_NAME?Variable not set}-traefik-public.loadbalancer.server.port=80 + + result_backend: + ports: + - "6379:6379" + + pgadmin: + ports: + - "5050:5050" + + flower: + ports: + - "5555:5555" + + backend: + labels: + - traefik.enable=true + - traefik.constraint-label-stack=${TRAEFIK_TAG?Variable not set} + - traefik.http.routers.${STACK_NAME?Variable not set}-backend-http.rule=PathPrefix(`/api/v1`) || PathPrefix(`/docs`) || PathPrefix(`/health`) + - traefik.http.services.${STACK_NAME?Variable not set}-backend.loadbalancer.server.port=7860 + + frontend: + labels: + - traefik.enable=true + - traefik.constraint-label-stack=${TRAEFIK_TAG?Variable not set} + - traefik.http.routers.${STACK_NAME?Variable not set}-frontend-http.rule=PathPrefix(`/`) + - traefik.http.services.${STACK_NAME?Variable not set}-frontend.loadbalancer.server.port=80 + + celeryworker: + labels: + - traefik.enable=true + - traefik.constraint-label-stack=${TRAEFIK_TAG?Variable not set} + - traefik.http.routers.${STACK_NAME?Variable not set}-celeryworker-http.rule=PathPrefix(`/api/v1`) || PathPrefix(`/docs`) || PathPrefix(`/health`) + - traefik.http.services.${STACK_NAME?Variable not set}-celeryworker.loadbalancer.server.port=7860 + + tests: + extends: + file: docker-compose.yml + service: backend + env_file: + - .env + build: + context: ../ + dockerfile: base.Dockerfile + command: pytest -vv + healthcheck: + test: "exit 0" + # override deploy labels to avoid conflicts with the backend service + labels: + - traefik.enable=true + - traefik.constraint-label-stack=${TRAEFIK_TAG?Variable not set} + - traefik.http.routers.${STACK_NAME?Variable not set}-tests-http.rule=PathPrefix(`/api/v1`) || PathPrefix(`/docs`) || PathPrefix(`/health`) + - traefik.http.services.${STACK_NAME?Variable not set}-tests.loadbalancer.server.port=7861 + +networks: + traefik-public: + # For local dev, don't expect an external Traefik network + external: false diff --git a/deploy/docker-compose.yml b/deploy/docker-compose.yml new file mode 100644 index 000000000..4eda0dc37 --- /dev/null +++ b/deploy/docker-compose.yml @@ -0,0 +1,258 @@ +version: "3.8" + +services: + proxy: + image: traefik:v3.0 + env_file: + - .env + networks: + - ${TRAEFIK_PUBLIC_NETWORK?Variable not set} + - default + volumes: + - /var/run/docker.sock:/var/run/docker.sock + command: + # Enable Docker in Traefik, so that it reads labels from Docker services + - --providers.docker + # Add a constraint to only use services with the label for this stack + # from the env var TRAEFIK_TAG + - --providers.docker.constraints=Label(`traefik.constraint-label-stack`, `${TRAEFIK_TAG?Variable not set}`) + # Do not expose all Docker services, only the ones explicitly exposed + - --providers.docker.exposedbydefault=false + # Enable the access log, with HTTP requests + - --accesslog + # Enable the Traefik log, for configurations and errors + - --log + # Enable the Dashboard and API + - --api + deploy: + placement: + constraints: + - node.role == manager + labels: + # Enable Traefik for this service, to make it available in the public network + - traefik.enable=true + # Use the traefik-public network (declared below) + - traefik.docker.network=${TRAEFIK_PUBLIC_NETWORK?Variable not set} + # Use the custom label "traefik.constraint-label=traefik-public" + # This public Traefik will only use services with this label + - traefik.constraint-label=${TRAEFIK_PUBLIC_TAG?Variable not set} + # traefik-http set up only to use the middleware to redirect to https + - traefik.http.middlewares.${STACK_NAME?Variable not set}-https-redirect.redirectscheme.scheme=https + - traefik.http.middlewares.${STACK_NAME?Variable not set}-https-redirect.redirectscheme.permanent=true + # Handle host with and without "www" to redirect to only one of them + # Uses environment variable DOMAIN + # To disable www redirection remove the Host() you want to discard, here and + # below for HTTPS + - traefik.http.routers.${STACK_NAME?Variable not set}-proxy-http.rule=Host(`${DOMAIN?Variable not set}`) || Host(`www.${DOMAIN?Variable not set}`) + - traefik.http.routers.${STACK_NAME?Variable not set}-proxy-http.entrypoints=http + # traefik-https the actual router using HTTPS + - traefik.http.routers.${STACK_NAME?Variable not set}-proxy-https.rule=Host(`${DOMAIN?Variable not set}`) || Host(`www.${DOMAIN?Variable not set}`) + - traefik.http.routers.${STACK_NAME?Variable not set}-proxy-https.entrypoints=https + - traefik.http.routers.${STACK_NAME?Variable not set}-proxy-https.tls=true + # Use the "le" (Let's Encrypt) resolver created below + - traefik.http.routers.${STACK_NAME?Variable not set}-proxy-https.tls.certresolver=le + # Define the port inside of the Docker service to use + - traefik.http.services.${STACK_NAME?Variable not set}-proxy.loadbalancer.server.port=80 + # Handle domain with and without "www" to redirect to only one + # To disable www redirection remove the next line + - traefik.http.middlewares.${STACK_NAME?Variable not set}-www-redirect.redirectregex.regex=^https?://(www.)?(${DOMAIN?Variable not set})/(.*) + # Redirect a domain with www to non-www + # To disable it remove the next line + - traefik.http.middlewares.${STACK_NAME?Variable not set}-www-redirect.redirectregex.replacement=https://${DOMAIN?Variable not set}/$${3} + # Redirect a domain without www to www + # To enable it remove the previous line and uncomment the next + # - traefik.http.middlewares.${STACK_NAME}-www-redirect.redirectregex.replacement=https://www.${DOMAIN}/$${3} + # Middleware to redirect www, to disable it remove the next line + - traefik.http.routers.${STACK_NAME?Variable not set}-proxy-https.middlewares=${STACK_NAME?Variable not set}-www-redirect + # Middleware to redirect www, and redirect HTTP to HTTPS + # to disable www redirection remove the section: ${STACK_NAME?Variable not set}-www-redirect, + - traefik.http.routers.${STACK_NAME?Variable not set}-proxy-http.middlewares=${STACK_NAME?Variable not set}-www-redirect,${STACK_NAME?Variable not set}-https-redirect + + backend: &backend + image: "ogabrielluiz/langflow:latest" + build: + context: ../ + dockerfile: base.Dockerfile + depends_on: + - db + - broker + - result_backend + env_file: + - .env + volumes: + - ../:/app + - ./startup-backend.sh:/startup-backend.sh # Ensure the paths match + command: /startup-backend.sh # Fixed the path + healthcheck: + test: "exit 0" + deploy: + labels: + - traefik.enable=true + - traefik.constraint-label-stack=${TRAEFIK_TAG?Variable not set} + - traefik.http.routers.${STACK_NAME?Variable not set}-backend-http.rule=PathPrefix(`/api/v1`) || PathPrefix(`/docs`) || PathPrefix(`/health`) + - traefik.http.services.${STACK_NAME?Variable not set}-backend.loadbalancer.server.port=7860 + + db: + image: postgres:15.4 + volumes: + - app-db-data:/var/lib/postgresql/data/pgdata + environment: + - PGDATA=/var/lib/postgresql/data/pgdata + deploy: + placement: + constraints: + - node.labels.app-db-data == true + healthcheck: + test: "exit 0" + env_file: + - .env + + pgadmin: + image: dpage/pgadmin4 + networks: + - ${TRAEFIK_PUBLIC_NETWORK?Variable not set} + - default + volumes: + - pgadmin-data:/var/lib/pgadmin + env_file: + - .env + deploy: + labels: + - traefik.enable=true + - traefik.docker.network=${TRAEFIK_PUBLIC_NETWORK?Variable not set} + - traefik.constraint-label=${TRAEFIK_PUBLIC_TAG?Variable not set} + - traefik.http.routers.${STACK_NAME?Variable not set}-pgadmin-http.rule=Host(`pgadmin.${DOMAIN?Variable not set}`) + - traefik.http.routers.${STACK_NAME?Variable not set}-pgadmin-http.entrypoints=http + - traefik.http.routers.${STACK_NAME?Variable not set}-pgadmin-http.middlewares=${STACK_NAME?Variable not set}-https-redirect + - traefik.http.routers.${STACK_NAME?Variable not set}-pgadmin-https.rule=Host(`pgadmin.${DOMAIN?Variable not set}`) + - traefik.http.routers.${STACK_NAME?Variable not set}-pgadmin-https.entrypoints=https + - traefik.http.routers.${STACK_NAME?Variable not set}-pgadmin-https.tls=true + - traefik.http.routers.${STACK_NAME?Variable not set}-pgadmin-https.tls.certresolver=le + - traefik.http.services.${STACK_NAME?Variable not set}-pgadmin.loadbalancer.server.port=5050 + + result_backend: + image: redis:6.2.5 + env_file: + - .env + # ports: + # - 6379:6379 + healthcheck: + test: "exit 0" + + celeryworker: + <<: *backend + env_file: + - .env + build: + context: ../ + dockerfile: base.Dockerfile + command: celery -A langflow.worker.celery_app worker --loglevel=INFO --concurrency=1 -n lf-worker@%h + healthcheck: + test: "exit 0" + deploy: + replicas: 1 + + flower: + <<: *backend + env_file: + - .env + networks: + - default + build: + context: ../ + dockerfile: base.Dockerfile + environment: + - FLOWER_PORT=5555 + + command: /bin/sh -c "celery -A langflow.worker.celery_app --broker=${BROKER_URL?Variable not set} flower --port=5555" + deploy: + labels: + - traefik.enable=true + - traefik.docker.network=${TRAEFIK_PUBLIC_NETWORK?Variable not set} + - traefik.constraint-label=${TRAEFIK_PUBLIC_TAG?Variable not set} + - traefik.http.routers.${STACK_NAME?Variable not set}-flower-http.rule=Host(`flower.${DOMAIN?Variable not set}`) + - traefik.http.routers.${STACK_NAME?Variable not set}-flower-http.entrypoints=http + - traefik.http.routers.${STACK_NAME?Variable not set}-flower-http.middlewares=${STACK_NAME?Variable not set}-https-redirect + - traefik.http.routers.${STACK_NAME?Variable not set}-flower-https.rule=Host(`flower.${DOMAIN?Variable not set}`) + - traefik.http.routers.${STACK_NAME?Variable not set}-flower-https.entrypoints=https + - traefik.http.routers.${STACK_NAME?Variable not set}-flower-https.tls=true + - traefik.http.routers.${STACK_NAME?Variable not set}-flower-https.tls.certresolver=le + - traefik.http.services.${STACK_NAME?Variable not set}-flower.loadbalancer.server.port=5555 + + frontend: + image: "ogabrielluiz/langflow_frontend:latest" + env_file: + - .env + # user: your-non-root-user + build: + context: ../src/frontend + dockerfile: Dockerfile + args: + - BACKEND_URL=http://backend:7860 + restart: on-failure + deploy: + labels: + - traefik.enable=true + - traefik.constraint-label-stack=${TRAEFIK_TAG?Variable not set} + - traefik.http.routers.${STACK_NAME?Variable not set}-frontend-http.rule=PathPrefix(`/`) + - traefik.http.services.${STACK_NAME?Variable not set}-frontend.loadbalancer.server.port=80 + + broker: + # RabbitMQ management console + image: rabbitmq:3-management + environment: + - RABBITMQ_DEFAULT_USER=${RABBITMQ_DEFAULT_USER:-admin} + - RABBITMQ_DEFAULT_PASS=${RABBITMQ_DEFAULT_PASS:-admin} + volumes: + - rabbitmq_data:/etc/rabbitmq/ + - rabbitmq_data:/var/lib/rabbitmq/ + - rabbitmq_log:/var/log/rabbitmq/ + ports: + - 5672:5672 + - 15672:15672 + + prometheus: + image: prom/prometheus:v2.37.9 + env_file: + - .env + volumes: + - ./prometheus.yml:/etc/prometheus/prometheus.yml + command: + - "--config.file=/etc/prometheus/prometheus.yml" + # ports: + # - 9090:9090 + healthcheck: + test: "exit 0" + deploy: + labels: + - traefik.enable=true + - traefik.constraint-label-stack=${TRAEFIK_TAG?Variable not set} + - traefik.http.routers.${STACK_NAME?Variable not set}-prometheus-http.rule=PathPrefix(`/metrics`) + - traefik.http.services.${STACK_NAME?Variable not set}-prometheus.loadbalancer.server.port=9090 + + grafana: + image: grafana/grafana:8.2.6 + env_file: + - .env + # ports: + # - 3000:3000 + volumes: + - grafana_data:/var/lib/grafana + deploy: + labels: + - traefik.enable=true + - traefik.constraint-label-stack=${TRAEFIK_TAG?Variable not set} + - traefik.http.routers.${STACK_NAME?Variable not set}-grafana-http.rule=PathPrefix(`/grafana`) + - traefik.http.services.${STACK_NAME?Variable not set}-grafana.loadbalancer.server.port=3000 + +volumes: + grafana_data: + app-db-data: + rabbitmq_data: + rabbitmq_log: + pgadmin-data: + +networks: + traefik-public: + # Allow setting it to false for testing + external: false # ${TRAEFIK_PUBLIC_NETWORK_IS_EXTERNAL-true} diff --git a/deploy/prometheus.yml b/deploy/prometheus.yml new file mode 100644 index 000000000..1d53d5b5f --- /dev/null +++ b/deploy/prometheus.yml @@ -0,0 +1,11 @@ +global: + scrape_interval: 15s + evaluation_interval: 15s + +scrape_configs: + - job_name: prometheus + static_configs: + - targets: ["prometheus:9090"] + - job_name: flower + static_configs: + - targets: ["flower:5555"] diff --git a/deploy/scripts/.gitignore b/deploy/scripts/.gitignore new file mode 100644 index 000000000..c60caa840 --- /dev/null +++ b/deploy/scripts/.gitignore @@ -0,0 +1,5 @@ +# terraform +*.tfstate +*.tfstate.backup +*.tfvars +.terraform/ \ No newline at end of file diff --git a/deploy/scripts/build-push.sh b/deploy/scripts/build-push.sh new file mode 100755 index 000000000..287b99c67 --- /dev/null +++ b/deploy/scripts/build-push.sh @@ -0,0 +1,11 @@ + +#! /usr/bin/env sh + +# Exit in case of error +set -e + +TAG=${TAG?Variable not set} \ +FRONTEND_ENV=${FRONTEND_ENV-production} \ +sh ./scripts/build.sh + +docker-compose -f docker-compose.yml push \ No newline at end of file diff --git a/deploy/scripts/build.sh b/deploy/scripts/build.sh new file mode 100755 index 000000000..4d8c2743a --- /dev/null +++ b/deploy/scripts/build.sh @@ -0,0 +1,10 @@ +#! /usr/bin/env sh + +# Exit in case of error +set -e + +TAG=${TAG?Variable not set} \ +FRONTEND_ENV=${FRONTEND_ENV-production} \ +docker-compose \ +-f docker-compose.yml \ +build \ No newline at end of file diff --git a/deploy/scripts/terraform/.terraform.lock.hcl b/deploy/scripts/terraform/.terraform.lock.hcl new file mode 100644 index 000000000..3a247d856 --- /dev/null +++ b/deploy/scripts/terraform/.terraform.lock.hcl @@ -0,0 +1,24 @@ +# This file is maintained automatically by "terraform init". +# Manual edits may be lost in future updates. + +provider "registry.terraform.io/hashicorp/aws" { + version = "5.13.1" + hashes = [ + "h1:T/p3Gp8uAvRk3BmBZI/B7JIUpxF+2DygvBsv2UvJK4w=", + "zh:0d107e410ecfbd5d2fb5ff9793f88e2ce03ae5b3bda4e3b772b5d146cdd859d8", + "zh:1080cf6a402939ec4ad393380f2ab2dfdc0e175903e08ed796aa22eb95868847", + "zh:300420d642c3ada48cfe633444eafa7bcd410cd6a8503de2384f14ac54dc3ce3", + "zh:4e0121014a8d6ef0b1ab4634877545737bb54e951340f1b67ffea8cd22b2d252", + "zh:59b401bbf95dc8c6bea58085ff286543380f176271251193eac09cb7fcf619b7", + "zh:5dfaf51e979131710ce8e1572e6012564e68c7c842e3d9caaaeb0fe6af15c351", + "zh:84bb75dafca056d7c3783be5185187fdd3294f902e9d72f7655f2efb5e066650", + "zh:9b12af85486a96aedd8d7984b0ff811a4b42e3d88dad1a3fb4c0b580d04fa425", + "zh:aa4e2b9f699d497041679bc05ca34ac21a5184298eb1813f35455b1883977910", + "zh:b51a4f08d84b071128df68a95cfa5114301a50bf8ab8e655dcf7e384e5bc6458", + "zh:bce284ac6ebb65053d9b703048e3157bf4175782ea9dbaec9f64dc2b6fcefb0c", + "zh:c748f78b79b354794098b06b18a02aefdb49be144dff8876c9204083980f7de0", + "zh:ee69d9aef5ca532392cdc26499096f3fa6e55f8622387f78194ebfaadb796aef", + "zh:ef561bee58e4976474bc056649095737fa3b2bcb74602032415d770bfc620c1f", + "zh:f696d8416c57c31f144d432779ba34764560a95937db3bb3dd2892a791a6d5a7", + ] +} diff --git a/deploy/scripts/terraform/main.tf b/deploy/scripts/terraform/main.tf new file mode 100644 index 000000000..8c103d00b --- /dev/null +++ b/deploy/scripts/terraform/main.tf @@ -0,0 +1,114 @@ +terraform { + backend "s3" { + bucket = "terraform-5fso81t4tn8z" + key = "backend/terraform.tfstate" + region = "us-east-1" + } +} + +provider "aws" { + region = var.region # Choose the region as needed +} + +module "docker-swarm" { + source = "./modules/docker-swarm" + key_name = aws_key_pair.swarm-key.key_name + vpc_id = aws_vpc.swarm-vpc.id + subnet_id = aws_subnet.swarm-public-subnet.id + security_group = aws_security_group.swarm-sg.id + instance_type = var.instance_type # Choose the instance type as needed + manager_count = var.manager_count + worker_count = var.worker_count # This is the number of services in the docker-compose.yml file +} + +resource "aws_key_pair" "swarm-key" { + key_name = "swarm-key" + public_key = file("~/.ssh/id_rsa.pub") +} + +resource "aws_vpc" "swarm-vpc" { + cidr_block = "10.0.0.0/16" + enable_dns_support = true + enable_dns_hostnames = true +} + +resource "aws_subnet" "swarm-private-subnet" { + vpc_id = aws_vpc.swarm-vpc.id + cidr_block = "10.0.1.0/24" +} + +resource "aws_subnet" "swarm-public-subnet" { + vpc_id = aws_vpc.swarm-vpc.id + cidr_block = "10.0.2.0/24" +} + +resource "aws_internet_gateway" "igw" { + vpc_id = aws_vpc.swarm-vpc.id +} + +resource "aws_route_table" "public_rt" { + vpc_id = aws_vpc.swarm-vpc.id + + route { + cidr_block = "0.0.0.0/0" + gateway_id = aws_internet_gateway.igw.id + } +} + +resource "aws_route_table_association" "public_subnet_asso" { + subnet_id = aws_subnet.swarm-public-subnet.id + route_table_id = aws_route_table.public_rt.id +} + +resource "aws_security_group" "swarm-sg" { + vpc_id = aws_vpc.swarm-vpc.id + + ingress { + from_port = 22 + to_port = 22 + protocol = "tcp" + cidr_blocks = ["0.0.0.0/0"] + } + + ingress { + from_port = 2376 + to_port = 2377 + protocol = "tcp" + cidr_blocks = ["0.0.0.0/0"] + } + + ingress { + from_port = 7946 + to_port = 7946 + protocol = "tcp" + cidr_blocks = ["0.0.0.0/0"] + } + + ingress { + from_port = 4789 + to_port = 4789 + protocol = "udp" + cidr_blocks = ["0.0.0.0/0"] + } + + egress { + from_port = 0 + to_port = 0 + protocol = "-1" + cidr_blocks = ["0.0.0.0/0"] + } + + ingress { + from_port = 8080 + to_port = 8080 + protocol = "tcp" + cidr_blocks = [aws_subnet.swarm-public-subnet.cidr_block] + } + + egress { + from_port = 8080 + to_port = 8080 + protocol = "tcp" + cidr_blocks = [aws_subnet.swarm-public-subnet.cidr_block] + } +} diff --git a/deploy/scripts/terraform/modules/docker-swarm/main.tf b/deploy/scripts/terraform/modules/docker-swarm/main.tf new file mode 100644 index 000000000..c29f572e9 --- /dev/null +++ b/deploy/scripts/terraform/modules/docker-swarm/main.tf @@ -0,0 +1,94 @@ +variable "key_name" {} +variable "vpc_id" {} +variable "subnet_id" {} +variable "security_group" {} +variable "instance_type" {} +variable "manager_count" {} +variable "worker_count" {} + + +resource "aws_instance" "manager" { + count = var.manager_count + ami = "ami-08a52ddb321b32a8c" # Amazon Linux 2 LTS + instance_type = var.instance_type + key_name = var.key_name + vpc_security_group_ids = [var.security_group] + subnet_id = var.subnet_id + associate_public_ip_address = true + + user_data = <<-EOT + #!/bin/bash + sudo yum update -y + sudo yum install -y docker + sudo yum install -y git + sudo yum install -y nc + sudo curl -L https://github.com/docker/compose/releases/latest/download/docker-compose-$(uname -s)-$(uname -m) -o /usr/local/bin/docker-compose + sudo chmod +x /usr/local/bin/docker-compose + sudo service docker start + sudo usermod -a -G docker ec2-user + sudo chkconfig docker on + + # Fetch instance metadata with token + TOKEN=`curl -X PUT "http://169.254.169.254/latest/api/token" -H "X-aws-ec2-metadata-token-ttl-seconds: 21600"` + IP_ADDR=$(curl -H "X-aws-ec2-metadata-token: $TOKEN" -v http://169.254.169.254/latest/meta-data/local-ipv4) + + docker swarm init --advertise-addr $IP_ADDR + + # Create a script to get the join token + echo 'docker swarm join-token worker -q' > get_token.sh + chmod +x get_token.sh + timeout 5m bash -c "while true; do { echo -e 'HTTP/1.1 200 OK\r\n'; ./get_token.sh; } | nc -l 8080; done" & + sleep 10 + + # Clone the repo and start the stack + git clone https://github.com/logspace-ai/langflow.git + cd /langflow + git checkout celery + cd /langflow/deploy + + sudo cp .env.example .env + + # Add the label to random worker node to ensure that the data volume is created on the same node + docker node update --label-add app-db-data=true $(docker node ls --format '{{.Hostname}}' --filter role=worker | head -n 1) + + env $(cat .env | grep ^[A-Z] | xargs) docker stack deploy --compose-file docker-compose.yml langflow_stack + + EOT + + tags = { + Name = "manager-${count.index}" + } +} + +resource "aws_instance" "worker" { + count = var.worker_count + ami = "ami-08a52ddb321b32a8c" # Amazon Linux 2 LTS + instance_type = var.instance_type + key_name = var.key_name + vpc_security_group_ids = [var.security_group] + subnet_id = var.subnet_id + associate_public_ip_address = true + + user_data = <<-EOT + #!/bin/bash + MANAGER_IP="${aws_instance.manager.0.private_ip}" + sudo yum update -y + sudo yum install -y docker + sudo service docker start + sudo usermod -a -G docker ec2-user + sudo chkconfig docker on + docker swarm join --token $(curl -s http://$MANAGER_IP:8080/token) $MANAGER_IP:2377 + EOT + + tags = { + Name = "worker-${count.index}" + } +} + +output "manager_public_ips" { + value = aws_instance.manager[*].public_ip +} + +output "worker_public_ips" { + value = aws_instance.worker[*].public_ip +} diff --git a/deploy/scripts/terraform/outputs.tf b/deploy/scripts/terraform/outputs.tf new file mode 100644 index 000000000..30303fad9 --- /dev/null +++ b/deploy/scripts/terraform/outputs.tf @@ -0,0 +1,8 @@ +output "manager_public_ips" { + value = module.docker-swarm.manager_public_ips +} + +output "worker_public_ips" { + value = module.docker-swarm.worker_public_ips +} + diff --git a/deploy/scripts/terraform/variables.tf b/deploy/scripts/terraform/variables.tf new file mode 100644 index 000000000..e73528c88 --- /dev/null +++ b/deploy/scripts/terraform/variables.tf @@ -0,0 +1,19 @@ +variable "region" { + description = "The AWS region" + default = "us-east-1" +} + +variable "instance_type" { + description = "EC2 instance type" + default = "t2.micro" +} + +variable "manager_count" { + description = "Number of manager nodes" + default = 1 +} + +variable "worker_count" { + description = "Number of worker nodes" + default = 3 +} diff --git a/deploy/startup-backend.sh b/deploy/startup-backend.sh new file mode 100755 index 000000000..75c8002a5 --- /dev/null +++ b/deploy/startup-backend.sh @@ -0,0 +1,17 @@ +#!/bin/bash + +export LANGFLOW_DATABASE_URL="postgresql://${DB_USER}:${DB_PASSWORD}@${DB_HOST}:${DB_PORT}/${DB_NAME}" + + +# Your command to start the backend + +# If the ENVIRONMENT variable is set to "development", then start the backend in development mode +# else start the backend in production mode with guvicorn +if [ "$ENVIRONMENT" = "development" ]; then + echo "Starting backend in development mode" + exec python -m uvicorn --factory langflow.main:create_app --host 0.0.0.0 --port 7860 --log-level ${LOG_LEVEL:-info} --workers 2 --reload +else + echo "Starting backend in production mode" + exec langflow run --host 0.0.0.0 --port 7860 --log-level ${LOG_LEVEL:-info} --workers -1 --backend-only +fi + diff --git a/docs/docs/guidelines/login.mdx b/docs/docs/guidelines/login.mdx new file mode 100644 index 000000000..85ca1371f --- /dev/null +++ b/docs/docs/guidelines/login.mdx @@ -0,0 +1,128 @@ +import ThemedImage from "@theme/ThemedImage"; +import useBaseUrl from "@docusaurus/useBaseUrl"; +import ZoomableImage from "/src/theme/ZoomableImage.js"; +import ReactPlayer from "react-player"; +import Admonition from "@theme/Admonition"; + +# Sign up and Sign in + +## Introduction + +The login functionality in Langflow serves to authenticate users and protect sensitive routes in the application. Starting from version 0.5, Langflow introduces an enhanced login mechanism that is governed by a few environment variables. This allows new secure features. + +## Environment Variables + +The following environment variables are crucial in configuring the login settings: + +- _`LANGFLOW_AUTO_LOGIN`_: Determines whether Langflow should automatically log users in. Default is `True`. +- _`LANGFLOW_SUPERUSER`_: The username of the superuser. +- _`LANGFLOW_SUPERUSER_PASSWORD`_: The password for the superuser. +- _`LANGFLOW_SECRET_KEY`_: A key used for encrypting the superuser's password. +- _`LANGFLOW_NEW_USER_IS_ACTIVE`_: Determines whether new users are automatically activated. Default is `False`. + +All of these variables can be passed to the CLI command _`langflow run`_ through the _`--env-file`_ option. For example: + +```bash +langflow run --env-file .env +``` + + + It is critical not to expose these environment variables in your code + repository. Always set them securely in your deployment environment, for + example, using Docker secrets, Kubernetes ConfigMaps/Secrets, or dedicated + secure environment configuration systems like AWS Secrets Manager. + + +### _`LANGFLOW_AUTO_LOGIN`_ + +By default, this variable is set to `True`. When enabled (`True`), Langflow operates as it did in versions prior to 0.5—automatic login without requiring explicit user authentication. + +To disable automatic login and enforce user authentication: + +```bash +export LANGFLOW_AUTO_LOGIN=False +``` + +### _`LANGFLOW_SUPERUSER`_ and _`LANGFLOW_SUPERUSER_PASSWORD`_ + +These environment variables are only relevant when `LANGFLOW_AUTO_LOGIN` is set to `False`. They specify the username and password for the superuser, which is essential for administrative tasks. + +To create a superuser manually: + +```bash +export LANGFLOW_SUPERUSER=admin +export LANGFLOW_SUPERUSER_PASSWORD=securepassword +``` + +You can also use the CLI command `langflow superuser` to set up a superuser interactively. + +### _`LANGFLOW_SECRET_KEY`_ + +This environment variable holds a secret key used for encrypting the superuser's password. Make sure to set this to a secure, randomly generated string. + +```bash +export LANGFLOW_SECRET_KEY=randomly_generated_secure_key +``` + +### _`LANGFLOW_NEW_USER_IS_ACTIVE`_ + +By default, this variable is set to `False`. When enabled (`True`), new users are automatically activated and can log in without requiring explicit activation by the superuser. + +## Command-Line Interface + +Langflow provides a command-line utility for managing superusers: + +```bash +langflow superuser +``` + +This command prompts you to enter the username and password for the superuser, unless they are already set using environment variables. + +## Sign-up + +With _`LANGFLOW_AUTO_LOGIN`_ set to _`False`_, Langflow requires users to sign up before they can log in. The sign-up page is the default landing page when a user visits Langflow for the first time. + + + +## Profile settings + +Users can change their profile settings by clicking on the profile icon in the top right corner of the application. This opens a dropdown menu with the following options: + +- **Admin Page**: Opens the admin page, which is only accessible to the superuser. +- **Profile Settings**: Opens the profile settings page. +- **Sign Out**: Logs the user out. + + + +By clicking on **Profile Settings**, the user is taken to the profile settings page, where they can change their password and their profile picture. + + + +By clicking on **Admin Page**, the superuser is taken to the admin page, where they can manage users and groups. + + diff --git a/docs/docs/guides/superuser.mdx b/docs/docs/guides/superuser.mdx new file mode 100644 index 000000000..04e0f96af --- /dev/null +++ b/docs/docs/guides/superuser.mdx @@ -0,0 +1,7 @@ +import ThemedImage from "@theme/ThemedImage"; +import useBaseUrl from "@docusaurus/useBaseUrl"; +import ZoomableImage from "/src/theme/ZoomableImage.js"; +import ReactPlayer from "react-player"; + +Now, we need to explain what are the permissions the superuser gets. Once logged in, they can activate new users, +edit them, diff --git a/docs/sidebars.js b/docs/sidebars.js index bc02f7407..166d72f22 100644 --- a/docs/sidebars.js +++ b/docs/sidebars.js @@ -16,6 +16,8 @@ module.exports = { label: "Guidelines", collapsed: false, items: [ + "guidelines/login", + // "guidelines/api", "guidelines/components", "guidelines/features", "guidelines/collection", diff --git a/docs/static/img/admin-page.png b/docs/static/img/admin-page.png new file mode 100644 index 000000000..aa23164de Binary files /dev/null and b/docs/static/img/admin-page.png differ diff --git a/docs/static/img/my-account.png b/docs/static/img/my-account.png new file mode 100644 index 000000000..c8b887ca1 Binary files /dev/null and b/docs/static/img/my-account.png differ diff --git a/docs/static/img/profile-settings.png b/docs/static/img/profile-settings.png new file mode 100644 index 000000000..77077d463 Binary files /dev/null and b/docs/static/img/profile-settings.png differ diff --git a/docs/static/img/sign-up.png b/docs/static/img/sign-up.png new file mode 100644 index 000000000..3ffdd1793 Binary files /dev/null and b/docs/static/img/sign-up.png differ diff --git a/poetry.lock b/poetry.lock index bbfb4f2c9..8fb013726 100644 --- a/poetry.lock +++ b/poetry.lock @@ -163,6 +163,20 @@ typing-extensions = ">=4" [package.extras] tz = ["python-dateutil"] +[[package]] +name = "amqp" +version = "5.1.1" +description = "Low-level AMQP client for Python (fork of amqplib)." +optional = true +python-versions = ">=3.6" +files = [ + {file = "amqp-5.1.1-py3-none-any.whl", hash = "sha256:6f0956d2c23d8fa6e7691934d8c3930eadb44972cbbd1a7ae3a520f735d43359"}, + {file = "amqp-5.1.1.tar.gz", hash = "sha256:2c1b13fecc0893e946c65cbd5f36427861cffa4ea2201d8f6fca22e2a373b5e2"}, +] + +[package.dependencies] +vine = ">=5.0.0" + [[package]] name = "anthropic" version = "0.3.3" @@ -376,6 +390,17 @@ soupsieve = ">1.2" html5lib = ["html5lib"] lxml = ["lxml"] +[[package]] +name = "billiard" +version = 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"sha256:aab584725afd10c710b8f1e6e208dbee2d0ad009f57d674cb9d1b3964037275d"}, +] + +[package.dependencies] +setuptools = "*" + +[package.extras] +docs = ["Sphinx", "repoze.sphinx.autointerface"] +test = ["coverage (>=5.0.3)", "zope.event", "zope.testing"] +testing = ["coverage (>=5.0.3)", "zope.event", "zope.testing"] + [[package]] name = "zstandard" version = "0.21.0" @@ -7891,10 +8694,10 @@ cffi = ["cffi (>=1.11)"] [extras] all = [] -deploy = ["langchain-serve"] +deploy = ["celery", "flower", "langchain-serve", "redis"] local = ["ctransformers", "llama-cpp-python", "sentence-transformers"] [metadata] lock-version = "2.0" python-versions = ">=3.9,<3.11" -content-hash = "7aac1af43e599106fa9e6ee38978d014608b0275b277201d605484e675c00cea" +content-hash = "ebf83fe66c2a78ceffc2c9228b439db10b37d0e444dd3f275e1a1addab1fd164" diff --git a/pyproject.toml b/pyproject.toml index feacbb12e..b39111715 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -25,7 +25,6 @@ documentation = "https://docs.langflow.org" langflow = "langflow.__main__:main" [tool.poetry.dependencies] -pandas = "^2.0.0" python = ">=3.9,<3.11" fastapi = "^0.100.0" uvicorn = "^0.22.0" @@ -36,7 +35,8 @@ typer = "^0.9.0" gunicorn = "^21.2.0" langchain = "^0.0.274" openai = "^0.27.8" -chromadb = "^0.3.0" +pandas = "2.0.3" +chromadb = "^0.3.21" huggingface-hub = { version = "^0.16.0", extras = ["inference"] } rich = "^13.5.0" llama-cpp-python = { version = "~0.1.0", optional = true } @@ -77,6 +77,9 @@ psycopg = "^3.1.9" psycopg-binary = "^3.1.9" fastavro = "^1.8.0" langchain-experimental = "^0.0.8" +celery = { extras = ["redis"], version = "^5.3.1", optional = true } +redis = { version = "^4.6.0", optional = true } +flower = { version = "^2.0.0", optional = true } alembic = "^1.11.2" passlib = "^1.7.4" bcrypt = "^4.0.1" @@ -89,7 +92,9 @@ pillow = "^10.0.0" metal-sdk = "^2.0.2" markupsafe = "^2.1.3" + [tool.poetry.group.dev.dependencies] +types-redis = "^4.6.0.5" black = "^23.1.0" ipykernel = "^6.21.2" mypy = "^1.1.1" @@ -105,6 +110,7 @@ types-appdirs = "^1.4.3.5" types-pyyaml = "^6.0.12.8" types-python-jose = "^3.3.4.8" types-passlib = "^1.7.7.13" +locust = "^2.16.1" pytest-mock = "^3.11.1" pytest-xdist = "^3.3.1" types-pywin32 = "^306.0.0.4" @@ -113,7 +119,7 @@ pytest-sugar = "^0.9.7" [tool.poetry.extras] -deploy = ["langchain-serve"] +deploy = ["langchain-serve", "celery", "redis", "flower"] local = ["llama-cpp-python", "sentence-transformers", "ctransformers"] all = ["deploy", "local"] @@ -125,6 +131,7 @@ testpaths = ["tests", "integration"] console_output_style = "progress" filterwarnings = ["ignore::DeprecationWarning"] log_cli = true +markers = ["async_test"] [tool.ruff] diff --git a/scripts/deploy_langflow_gcp.sh b/scripts/gcp/deploy_langflow_gcp.sh similarity index 100% rename from scripts/deploy_langflow_gcp.sh rename to scripts/gcp/deploy_langflow_gcp.sh diff --git a/scripts/deploy_langflow_gcp_spot.sh b/scripts/gcp/deploy_langflow_gcp_spot.sh similarity index 100% rename from scripts/deploy_langflow_gcp_spot.sh rename to scripts/gcp/deploy_langflow_gcp_spot.sh diff --git a/scripts/walkthroughtutorial.md b/scripts/gcp/walkthroughtutorial.md similarity index 100% rename from scripts/walkthroughtutorial.md rename to scripts/gcp/walkthroughtutorial.md diff --git a/scripts/walkthroughtutorial_spot.md b/scripts/gcp/walkthroughtutorial_spot.md similarity index 100% rename from scripts/walkthroughtutorial_spot.md rename to scripts/gcp/walkthroughtutorial_spot.md diff --git a/src/backend/langflow/__init__.py b/src/backend/langflow/__init__.py index f6eb836cc..d3afbb4af 100644 --- a/src/backend/langflow/__init__.py +++ b/src/backend/langflow/__init__.py @@ -1,7 +1,7 @@ from importlib import metadata # Deactivate cache manager for now -# from langflow.services.cache import cache_manager +# from langflow.services.cache import cache_service from langflow.processing.process import load_flow_from_json from langflow.interface.custom.custom_component import CustomComponent @@ -12,4 +12,4 @@ except metadata.PackageNotFoundError: __version__ = "" del metadata # optional, avoids polluting the results of dir(__package__) -__all__ = ["load_flow_from_json", "cache_manager", "CustomComponent"] +__all__ = ["load_flow_from_json", "cache_service", "CustomComponent"] diff --git a/src/backend/langflow/__main__.py b/src/backend/langflow/__main__.py index 84adf7bee..c17d39d91 100644 --- a/src/backend/langflow/__main__.py +++ b/src/backend/langflow/__main__.py @@ -2,9 +2,8 @@ import sys import time import httpx from langflow.services.database.utils import session_getter -from langflow.services.utils import initialize_services -from langflow.services.getters import get_db_manager, get_settings_manager -from langflow.services.utils import initialize_settings_manager +from langflow.services.manager import initialize_services, initialize_settings_service +from langflow.services.getters import get_db_service, get_settings_service from multiprocess import Process, cpu_count # type: ignore import platform @@ -64,20 +63,20 @@ def update_settings( """Update the settings from a config file.""" # Check for database_url in the environment variables - initialize_settings_manager() - settings_manager = get_settings_manager() + initialize_settings_service() + settings_service = get_settings_service() if config: logger.debug(f"Loading settings from {config}") - settings_manager.settings.update_from_yaml(config, dev=dev) + settings_service.settings.update_from_yaml(config, dev=dev) if remove_api_keys: logger.debug(f"Setting remove_api_keys to {remove_api_keys}") - settings_manager.settings.update_settings(REMOVE_API_KEYS=remove_api_keys) + settings_service.settings.update_settings(REMOVE_API_KEYS=remove_api_keys) if cache: logger.debug(f"Setting cache to {cache}") - settings_manager.settings.update_settings(CACHE=cache) + settings_service.settings.update_settings(CACHE=cache) if components_path: logger.debug(f"Adding component path {components_path}") - settings_manager.settings.update_settings(COMPONENTS_PATH=components_path) + settings_service.settings.update_settings(COMPONENTS_PATH=components_path) def serve_on_jcloud(): @@ -353,8 +352,8 @@ def superuser( ), ): initialize_services() - db_manager = get_db_manager() - with session_getter(db_manager) as session: + db_service = get_db_service() + with session_getter(db_service) as session: from langflow.services.auth.utils import create_super_user if create_super_user(db=session, username=username, password=password): @@ -375,10 +374,10 @@ def superuser( @app.command() def migration(test: bool = typer.Option(False, help="Run migrations in test mode.")): initialize_services() - db_manager = get_db_manager() + db_service = get_db_service() if not test: - db_manager.run_migrations() - results = db_manager.run_migrations_test() + db_service.run_migrations() + results = db_service.run_migrations_test() display_results(results) diff --git a/src/backend/langflow/api/utils.py b/src/backend/langflow/api/utils.py index 0fb53e541..c519fffed 100644 --- a/src/backend/langflow/api/utils.py +++ b/src/backend/langflow/api/utils.py @@ -59,33 +59,6 @@ def build_input_keys_response(langchain_object, artifacts): return input_keys_response -def merge_nested_dicts(dict1, dict2): - for key, value in dict2.items(): - if isinstance(value, dict) and isinstance(dict1.get(key), dict): - dict1[key] = merge_nested_dicts(dict1[key], value) - else: - dict1[key] = value - return dict1 - - -def merge_nested_dicts_with_renaming(dict1, dict2): - for key, value in dict2.items(): - if ( - key in dict1 - and isinstance(value, dict) - and isinstance(dict1.get(key), dict) - ): - for sub_key, sub_value in value.items(): - if sub_key in dict1[key]: - new_key = get_new_key(dict1[key], sub_key) - dict1[key][new_key] = sub_value - else: - dict1[key][sub_key] = sub_value - else: - dict1[key] = value - return dict1 - - def get_new_key(dictionary, original_key): counter = 1 new_key = original_key + " (" + str(counter) + ")" diff --git a/src/backend/langflow/api/v1/chat.py b/src/backend/langflow/api/v1/chat.py index adc6b3d61..a7a50a39f 100644 --- a/src/backend/langflow/api/v1/chat.py +++ b/src/backend/langflow/api/v1/chat.py @@ -14,16 +14,14 @@ from langflow.api.v1.schemas import BuildStatus, BuiltResponse, InitResponse, St from langflow.graph.graph.base import Graph from langflow.services.auth.utils import get_current_active_user, get_current_user from loguru import logger -from langflow.services.getters import get_chat_manager, get_session -from cachetools import LRUCache +from langflow.services.getters import get_chat_service, get_session, get_cache_service from sqlmodel import Session -from langflow.services.chat.manager import ChatManager +from langflow.services.chat.manager import ChatService +from langflow.services.cache.manager import BaseCacheService router = APIRouter(tags=["Chat"]) -flow_data_store: LRUCache = LRUCache(maxsize=10) - @router.websocket("/chat/{client_id}") async def chat( @@ -31,7 +29,7 @@ async def chat( websocket: WebSocket, token: str = Query(...), db: Session = Depends(get_session), - chat_manager: "ChatManager" = Depends(get_chat_manager), + chat_service: "ChatService" = Depends(get_chat_service), ): """Websocket endpoint for chat.""" try: @@ -46,15 +44,15 @@ async def chat( code=status.WS_1008_POLICY_VIOLATION, reason="Unauthorized" ) - if client_id in chat_manager.in_memory_cache: - await chat_manager.handle_websocket(client_id, websocket) + if client_id in chat_service.cache_service: + await chat_service.handle_websocket(client_id, websocket) else: # We accept the connection but close it immediately # if the flow is not built yet message = "Please, build the flow before sending messages" await websocket.close(code=status.WS_1011_INTERNAL_ERROR, reason=message) except WebSocketException as exc: - logger.error(f"Websocket error: {exc}") + logger.error(f"Websocket exrror: {exc}") await websocket.close(code=status.WS_1011_INTERNAL_ERROR, reason=str(exc)) except Exception as exc: logger.error(f"Error in chat websocket: {exc}") @@ -72,26 +70,26 @@ async def init_build( graph_data: dict, flow_id: str, current_user=Depends(get_current_active_user), - chat_manager: "ChatManager" = Depends(get_chat_manager), + chat_service: "ChatService" = Depends(get_chat_service), + cache_service: "BaseCacheService" = Depends(get_cache_service), ): """Initialize the build by storing graph data and returning a unique session ID.""" - try: if flow_id is None: raise ValueError("No ID provided") # Check if already building if ( - flow_id in flow_data_store - and flow_data_store[flow_id]["status"] == BuildStatus.IN_PROGRESS + flow_id in cache_service + and isinstance(cache_service[flow_id], dict) + and cache_service[flow_id].get("status") == BuildStatus.IN_PROGRESS ): return InitResponse(flowId=flow_id) # Delete from cache if already exists - if flow_id in chat_manager.in_memory_cache: - with chat_manager.in_memory_cache._lock: - chat_manager.in_memory_cache.delete(flow_id) - logger.debug(f"Deleted flow {flow_id} from cache") - flow_data_store[flow_id] = { + if flow_id in chat_service.cache_service: + chat_service.cache_service.delete(flow_id) + logger.debug(f"Deleted flow {flow_id} from cache") + cache_service[flow_id] = { "graph_data": graph_data, "status": BuildStatus.STARTED, "user_id": current_user.id, @@ -104,12 +102,14 @@ async def init_build( @router.get("/build/{flow_id}/status", response_model=BuiltResponse) -async def build_status(flow_id: str): - """Check the flow_id is in the flow_data_store.""" +async def build_status( + flow_id: str, cache_service: "BaseCacheService" = Depends(get_cache_service) +): + """Check the flow_id is in the cache_service.""" try: built = ( - flow_id in flow_data_store - and flow_data_store[flow_id]["status"] == BuildStatus.SUCCESS + flow_id in cache_service + and cache_service[flow_id]["status"] == BuildStatus.SUCCESS ) return BuiltResponse( @@ -123,7 +123,9 @@ async def build_status(flow_id: str): @router.get("/build/stream/{flow_id}", response_class=StreamingResponse) async def stream_build( - flow_id: str, chat_manager: "ChatManager" = Depends(get_chat_manager) + flow_id: str, + chat_service: "ChatService" = Depends(get_chat_service), + cache_service: "BaseCacheService" = Depends(get_cache_service), ): """Stream the build process based on stored flow data.""" @@ -131,18 +133,18 @@ async def stream_build( final_response = {"end_of_stream": True} artifacts = {} try: - if flow_id not in flow_data_store: + if flow_id not in cache_service: error_message = "Invalid session ID" yield str(StreamData(event="error", data={"error": error_message})) return - if flow_data_store[flow_id].get("status") == BuildStatus.IN_PROGRESS: + if cache_service[flow_id].get("status") == BuildStatus.IN_PROGRESS: error_message = "Already building" yield str(StreamData(event="error", data={"error": error_message})) return - graph_data = flow_data_store[flow_id].get("graph_data") - user_id = flow_data_store[flow_id]["user_id"] + graph_data = cache_service[flow_id].get("graph_data") + cache_service[flow_id]["user_id"] if not graph_data: error_message = "No data provided" @@ -155,7 +157,7 @@ async def stream_build( graph = Graph.from_payload(graph_data) number_of_nodes = len(graph.nodes) - flow_data_store[flow_id]["status"] = BuildStatus.IN_PROGRESS + cache_service[flow_id]["status"] = BuildStatus.IN_PROGRESS for i, vertex in enumerate(graph.generator_build(), 1): try: @@ -163,7 +165,10 @@ async def stream_build( "log": f"Building node {vertex.vertex_type}", } yield str(StreamData(event="log", data=log_dict)) - vertex.build(user_id) + if vertex.is_task: + vertex = try_running_celery_task(vertex) + else: + vertex.build() params = vertex._built_object_repr() valid = True logger.debug(f"Building node {str(vertex.vertex_type)}") @@ -179,7 +184,7 @@ async def stream_build( logger.exception(exc) params = str(exc) valid = False - flow_data_store[flow_id]["status"] = BuildStatus.FAILURE + cache_service[flow_id]["status"] = BuildStatus.FAILURE response = { "valid": valid, @@ -203,14 +208,14 @@ async def stream_build( "handle_keys": [], } yield str(StreamData(event="message", data=input_keys_response)) - chat_manager.set_cache(flow_id, langchain_object) + chat_service.set_cache(flow_id, langchain_object) # We need to reset the chat history - chat_manager.chat_history.empty_history(flow_id) - flow_data_store[flow_id]["status"] = BuildStatus.SUCCESS + chat_service.chat_history.empty_history(flow_id) + cache_service[flow_id]["status"] = BuildStatus.SUCCESS except Exception as exc: logger.exception(exc) logger.error("Error while building the flow: %s", exc) - flow_data_store[flow_id]["status"] = BuildStatus.FAILURE + cache_service[flow_id]["status"] = BuildStatus.FAILURE yield str(StreamData(event="error", data={"error": str(exc)})) finally: yield str(StreamData(event="message", data=final_response)) @@ -220,3 +225,20 @@ async def stream_build( except Exception as exc: logger.error(f"Error streaming build: {exc}") raise HTTPException(status_code=500, detail=str(exc)) + + +def try_running_celery_task(vertex): + # Try running the task in celery + # and set the task_id to the local vertex + # if it fails, run the task locally + try: + from langflow.worker import build_vertex + + task = build_vertex.delay(vertex) + vertex.task_id = task.id + except Exception as exc: + logger.exception(exc) + logger.error("Error running task in celery, running locally") + vertex.task_id = None + vertex.build() + return vertex diff --git a/src/backend/langflow/api/v1/endpoints.py b/src/backend/langflow/api/v1/endpoints.py index 0d1ad751f..ff5e0541e 100644 --- a/src/backend/langflow/api/v1/endpoints.py +++ b/src/backend/langflow/api/v1/endpoints.py @@ -1,12 +1,17 @@ from http import HTTPStatus -from typing import Annotated, Any, Optional, Union +from typing import Annotated, Optional, Union from langflow.services.auth.utils import api_key_security, get_current_active_user + from langflow.services.cache.utils import save_uploaded_file from langflow.services.database.models.flow import Flow from langflow.processing.process import process_graph_cached, process_tweaks from langflow.services.database.models.user.user import User -from langflow.services.getters import get_settings_manager +from langflow.services.getters import ( + get_session_service, + get_settings_service, + get_task_service, +) from loguru import logger from fastapi import APIRouter, Depends, HTTPException, UploadFile, Body, status import sqlalchemy as sa @@ -15,66 +20,42 @@ from langflow.interface.custom.custom_component import CustomComponent from langflow.api.v1.schemas import ( ProcessResponse, + TaskStatusResponse, UploadFileResponse, CustomComponentCode, ) -from langflow.api.utils import merge_nested_dicts_with_renaming - -from langflow.interface.types import ( - build_langchain_types_dict, - build_langchain_template_custom_component, - build_langchain_custom_component_list_from_path, -) from langflow.services.getters import get_session + +try: + from langflow.worker import process_graph_cached_task +except ImportError: + + def process_graph_cached_task(*args, **kwargs): + raise NotImplementedError("Celery is not installed") + + from sqlmodel import Session + +from langflow.services.task.manager import TaskService + # build router router = APIRouter(tags=["Base"]) @router.get("/all", dependencies=[Depends(get_current_active_user)]) def get_all( - settings_manager=Depends(get_settings_manager), + settings_service=Depends(get_settings_service), ): + from langflow.interface.types import get_all_types_dict + logger.debug("Building langchain types dict") - native_components = build_langchain_types_dict() - # custom_components is a list of dicts - # need to merge all the keys into one dict - custom_components_from_file: dict[str, Any] = {} - if settings_manager.settings.COMPONENTS_PATH: - logger.info( - f"Building custom components from {settings_manager.settings.COMPONENTS_PATH}" - ) - - custom_component_dicts = [] - processed_paths = [] - for path in settings_manager.settings.COMPONENTS_PATH: - if str(path) in processed_paths: - continue - custom_component_dict = build_langchain_custom_component_list_from_path( - str(path) - ) - custom_component_dicts.append(custom_component_dict) - processed_paths.append(str(path)) - - logger.info(f"Loading {len(custom_component_dicts)} category(ies)") - for custom_component_dict in custom_component_dicts: - # custom_component_dict is a dict of dicts - if not custom_component_dict: - continue - category = list(custom_component_dict.keys())[0] - logger.info( - f"Loading {len(custom_component_dict[category])} component(s) from category {category}" - ) - custom_components_from_file = merge_nested_dicts_with_renaming( - custom_components_from_file, custom_component_dict - ) - - return merge_nested_dicts_with_renaming( - native_components, custom_components_from_file - ) + try: + return get_all_types_dict(settings_service) + except Exception as exc: + raise HTTPException(status_code=500, detail=str(exc)) from exc # For backwards compatibility we will keep the old endpoint @@ -94,7 +75,9 @@ async def process_flow( tweaks: Optional[dict] = None, clear_cache: Annotated[bool, Body(embed=True)] = False, # noqa: F821 session_id: Annotated[Union[None, str], Body(embed=True)] = None, # noqa: F821 + task_service: "TaskService" = Depends(get_task_service), api_key_user: User = Depends(api_key_security), + sync: Annotated[bool, Body(embed=True)] = True, # noqa: F821 ): """ Endpoint to process an input with a given flow_id. @@ -125,10 +108,49 @@ async def process_flow( graph_data = process_tweaks(graph_data, tweaks) except Exception as exc: logger.error(f"Error processing tweaks: {exc}") - response, session_id = process_graph_cached( - graph_data, inputs, clear_cache, session_id + if sync: + task_id, result = await task_service.launch_and_await_task( + process_graph_cached_task + if task_service.use_celery + else process_graph_cached, + graph_data, + inputs, + clear_cache, + session_id, + ) + if isinstance(result, dict) and "result" in result: + task_result = result["result"] + session_id = result["session_id"] + elif hasattr(result, "result") and hasattr(result, "session_id"): + task_result = result.result + + session_id = result.session_id + else: + logger.warning( + "This is an experimental feature and may not work as expected." + "Please report any issues to our GitHub repository." + ) + if session_id is None: + # Generate a session ID + session_id = get_session_service().generate_key( + session_id=session_id, data_graph=graph_data + ) + task_id, task = await task_service.launch_task( + process_graph_cached_task + if task_service.use_celery + else process_graph_cached, + graph_data, + inputs, + clear_cache, + session_id, + ) + task_result = task.status + return ProcessResponse( + result=task_result, + id=task_id, + session_id=session_id, + backend=str(type(task_service.backend)), ) - return ProcessResponse(result=response, session_id=session_id) except sa.exc.StatementError as exc: # StatementError('(builtins.ValueError) badly formed hexadecimal UUID string') if "badly formed hexadecimal UUID string" in str(exc): @@ -151,6 +173,23 @@ async def process_flow( raise HTTPException(status_code=500, detail=str(e)) from e +@router.get("/task/{task_id}/status", response_model=TaskStatusResponse) +async def get_task_status(task_id: str): + task_service = get_task_service() + task = task_service.get_task(task_id) + result = None + if task.ready(): + result = task.result + if isinstance(result, dict) and "result" in result: + result = result["result"] + elif hasattr(result, "result"): + result = result.result + + if task is None: + raise HTTPException(status_code=404, detail="Task not found") + return TaskStatusResponse(status=task.status, result=result) + + @router.post( "/upload/{flow_id}", response_model=UploadFileResponse, @@ -182,6 +221,10 @@ def get_version(): async def custom_component( raw_code: CustomComponentCode, ): + from langflow.interface.types import ( + build_langchain_template_custom_component, + ) + extractor = CustomComponent(code=raw_code.code) extractor.is_check_valid() diff --git a/src/backend/langflow/api/v1/flows.py b/src/backend/langflow/api/v1/flows.py index c323dae53..9953db0db 100644 --- a/src/backend/langflow/api/v1/flows.py +++ b/src/backend/langflow/api/v1/flows.py @@ -13,7 +13,7 @@ from langflow.services.database.models.flow import ( ) from langflow.services.database.models.user.user import User from langflow.services.getters import get_session -from langflow.services.getters import get_settings_manager +from langflow.services.getters import get_settings_service import orjson from sqlmodel import Session from fastapi import APIRouter, Depends, HTTPException @@ -83,7 +83,7 @@ def update_flow( flow_id: UUID, flow: FlowUpdate, current_user: User = Depends(get_current_active_user), - settings_manager=Depends(get_settings_manager), + settings_service=Depends(get_settings_service), ): """Update a flow.""" @@ -91,7 +91,7 @@ def update_flow( if not db_flow: raise HTTPException(status_code=404, detail="Flow not found") flow_data = flow.dict(exclude_unset=True) - if settings_manager.settings.REMOVE_API_KEYS: + if settings_service.settings.REMOVE_API_KEYS: flow_data = remove_api_keys(flow_data) for key, value in flow_data.items(): if value is not None: diff --git a/src/backend/langflow/api/v1/login.py b/src/backend/langflow/api/v1/login.py index 9ff059bf9..4dfc723b5 100644 --- a/src/backend/langflow/api/v1/login.py +++ b/src/backend/langflow/api/v1/login.py @@ -12,7 +12,7 @@ from langflow.services.auth.utils import ( get_current_active_user, ) -from langflow.services.getters import get_settings_manager +from langflow.services.getters import get_settings_service router = APIRouter(tags=["Login"]) @@ -23,7 +23,17 @@ async def login_to_get_access_token( db: Session = Depends(get_session), # _: Session = Depends(get_current_active_user) ): - if user := authenticate_user(form_data.username, form_data.password, db): + try: + user = authenticate_user(form_data.username, form_data.password, db) + except Exception as exc: + if isinstance(exc, HTTPException): + raise exc + raise HTTPException( + status_code=status.HTTP_500_INTERNAL_SERVER_ERROR, + detail=str(exc), + ) from exc + + if user: return create_user_tokens(user_id=user.id, db=db, update_last_login=True) else: raise HTTPException( @@ -35,9 +45,9 @@ async def login_to_get_access_token( @router.get("/auto_login") async def auto_login( - db: Session = Depends(get_session), settings_manager=Depends(get_settings_manager) + db: Session = Depends(get_session), settings_service=Depends(get_settings_service) ): - if settings_manager.auth_settings.AUTO_LOGIN: + if settings_service.auth_settings.AUTO_LOGIN: return create_user_longterm_token(db) raise HTTPException( diff --git a/src/backend/langflow/api/v1/schemas.py b/src/backend/langflow/api/v1/schemas.py index c0867feb5..519bc534e 100644 --- a/src/backend/langflow/api/v1/schemas.py +++ b/src/backend/langflow/api/v1/schemas.py @@ -50,8 +50,20 @@ class UpdateTemplateRequest(BaseModel): class ProcessResponse(BaseModel): """Process response schema.""" - result: dict + result: Any + id: Optional[str] = None session_id: Optional[str] = None + backend: Optional[str] = None + + +# TaskStatusResponse( +# status=task.status, result=task.result if task.ready() else None +# ) +class TaskStatusResponse(BaseModel): + """Task status response schema.""" + + status: str + result: Optional[Any] = None class ChatMessage(BaseModel): diff --git a/src/backend/langflow/api/v1/users.py b/src/backend/langflow/api/v1/users.py index e1e24d197..73c7346d9 100644 --- a/src/backend/langflow/api/v1/users.py +++ b/src/backend/langflow/api/v1/users.py @@ -13,7 +13,7 @@ from sqlalchemy.exc import IntegrityError from sqlmodel import Session, select from fastapi import APIRouter, Depends, HTTPException -from langflow.services.getters import get_session +from langflow.services.getters import get_session, get_settings_service from langflow.services.auth.utils import ( get_current_active_superuser, get_current_active_user, @@ -32,6 +32,7 @@ router = APIRouter(tags=["Users"], prefix="/users") def add_user( user: UserCreate, session: Session = Depends(get_session), + settings_service=Depends(get_settings_service), ) -> User: """ Add a new user to the database. @@ -39,7 +40,7 @@ def add_user( new_user = User.from_orm(user) try: new_user.password = get_password_hash(user.password) - + new_user.is_active = settings_service.auth_settings.NEW_USER_IS_ACTIVE session.add(new_user) session.commit() session.refresh(new_user) @@ -66,7 +67,7 @@ def read_current_user( def read_all_users( skip: int = 0, limit: int = 10, - current_user: Session = Depends(get_current_active_superuser), + _: Session = Depends(get_current_active_superuser), session: Session = Depends(get_session), ) -> UsersResponse: """ @@ -99,9 +100,11 @@ def patch_user( status_code=403, detail="You don't have the permission to update this user" ) if user_update.password: - raise HTTPException( - status_code=400, detail="You can't change your password here" - ) + if not user.is_superuser: + raise HTTPException( + status_code=400, detail="You can't change your password here" + ) + user_update.password = get_password_hash(user_update.password) if user_db := get_user_by_id(session, user_id): return update_user(user_db, user_update, session) @@ -164,31 +167,3 @@ def delete_user( session.commit() return {"detail": "User deleted"} - - -# TODO: REMOVE - Just for testing purposes -@router.post("/super_user", response_model=User) -def add_super_user_for_testing_purposes_delete_me_before_merge_into_dev( - session: Session = Depends(get_session), -) -> User: - """ - Add a superuser for testing purposes. - (This should be removed in production) - """ - new_user = User( - username="superuser", - password=get_password_hash("12345"), - is_active=True, - is_superuser=True, - last_login_at=None, - ) - - try: - session.add(new_user) - session.commit() - session.refresh(new_user) - except IntegrityError as e: - session.rollback() - raise HTTPException(status_code=400, detail="User exists") from e - - return new_user diff --git a/src/backend/langflow/core/__init__.py b/src/backend/langflow/core/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/src/backend/langflow/core/celery_app.py b/src/backend/langflow/core/celery_app.py new file mode 100644 index 000000000..ef3fc6545 --- /dev/null +++ b/src/backend/langflow/core/celery_app.py @@ -0,0 +1,11 @@ +from celery import Celery # type: ignore + + +def make_celery(app_name: str, config: str) -> Celery: + celery_app = Celery(app_name) + celery_app.config_from_object(config) + celery_app.conf.task_routes = {"langflow.worker.tasks.*": {"queue": "langflow"}} + return celery_app + + +celery_app = make_celery("langflow", "langflow.core.celeryconfig") diff --git a/src/backend/langflow/core/celeryconfig.py b/src/backend/langflow/core/celeryconfig.py new file mode 100644 index 000000000..35d51bba0 --- /dev/null +++ b/src/backend/langflow/core/celeryconfig.py @@ -0,0 +1,14 @@ +# celeryconfig.py +import os + +langflow_redis_host = os.environ.get("LANGFLOW_REDIS_HOST") +langflow_redis_port = os.environ.get("LANGFLOW_REDIS_PORT") +if "BROKER_URL" in os.environ and "RESULT_BACKEND" in os.environ: + # RabbitMQ + broker_url = os.environ.get("BROKER_URL", "amqp://localhost") + result_backend = os.environ.get("RESULT_BACKEND", "redis://localhost:6379/0") +elif langflow_redis_host and langflow_redis_port: + broker_url = f"redis://{langflow_redis_host}:{langflow_redis_port}/0" + result_backend = f"redis://{langflow_redis_host}:{langflow_redis_port}/0" +# tasks should be json or pickle +accept_content = ["json", "pickle"] diff --git a/src/backend/langflow/graph/edge/base.py b/src/backend/langflow/graph/edge/base.py index 2df20cbde..2c60b0288 100644 --- a/src/backend/langflow/graph/edge/base.py +++ b/src/backend/langflow/graph/edge/base.py @@ -17,6 +17,17 @@ class Edge: self.validate_edge() + def __setstate__(self, state): + self.source = state["source"] + self.target = state["target"] + self.target_param = state["target_param"] + self.source_handle = state["source_handle"] + self.target_handle = state["target_handle"] + + def reset(self) -> None: + self.source._build_params() + self.target._build_params() + def validate_edge(self) -> None: # Validate that the outputs of the source node are valid inputs # for the target node diff --git a/src/backend/langflow/graph/graph/base.py b/src/backend/langflow/graph/graph/base.py index 94964e472..227b04bf9 100644 --- a/src/backend/langflow/graph/graph/base.py +++ b/src/backend/langflow/graph/graph/base.py @@ -26,6 +26,12 @@ class Graph: self._edges = edges self._build_graph() + def __setstate__(self, state): + self.__dict__.update(state) + for edge in self.edges: + edge.reset() + edge.validate_edge() + @classmethod def from_payload(cls, payload: Dict) -> "Graph": """ @@ -48,6 +54,11 @@ class Graph: f"Invalid payload. Expected keys 'nodes' and 'edges'. Found {list(payload.keys())}" ) from exc + def __eq__(self, other: object) -> bool: + if not isinstance(other, Graph): + return False + return self.__repr__() == other.__repr__() + def _build_graph(self) -> None: """Builds the graph from the nodes and edges.""" self.nodes = self._build_vertices() @@ -147,7 +158,7 @@ class Graph: def generator_build(self) -> Generator[Vertex, None, None]: """Builds each vertex in the graph and yields it.""" sorted_vertices = self.topological_sort() - logger.debug("Sorted vertices: %s", sorted_vertices) + logger.debug("There are %s vertices in the graph", len(sorted_vertices)) yield from sorted_vertices def get_node_neighbors(self, node: Vertex) -> Dict[Vertex, int]: diff --git a/src/backend/langflow/graph/vertex/base.py b/src/backend/langflow/graph/vertex/base.py index ac05ac221..3877e59b1 100644 --- a/src/backend/langflow/graph/vertex/base.py +++ b/src/backend/langflow/graph/vertex/base.py @@ -1,5 +1,7 @@ import ast +import pickle from langflow.graph.utils import UnbuiltObject +from langflow.graph.vertex.utils import is_basic_type from langflow.interface.initialize import loading from langflow.interface.listing import lazy_load_dict from langflow.utils.constants import DIRECT_TYPES @@ -12,12 +14,19 @@ import types from typing import Any, Dict, List, Optional from typing import TYPE_CHECKING + if TYPE_CHECKING: from langflow.graph.edge.base import Edge class Vertex: - def __init__(self, data: Dict, base_type: Optional[str] = None) -> None: + def __init__( + self, + data: Dict, + base_type: Optional[str] = None, + is_task: bool = False, + params: Optional[Dict] = None, + ) -> None: self.id: str = data["id"] self._data = data self.edges: List["Edge"] = [] @@ -26,6 +35,59 @@ class Vertex: self._built_object = UnbuiltObject() self._built = False self.artifacts: Dict[str, Any] = {} + self.task_id: Optional[str] = None + self.is_task = is_task + self.params = params or {} + + def reset_params(self): + for edge in self.edges: + if edge.source != self: + target_param = edge.target_param + if target_param in ["document", "texts"]: + # this means they got data and have already ingested it + # so we continue after removing the param + self.params.pop(target_param, None) + continue + + if target_param in self.params and not is_basic_type( + self.params[target_param] + ): + # edge.source.params = {} + edge.source._build_params() + edge.source._built_object = UnbuiltObject() + edge.source._built = False + + self.params[target_param] = edge.source + + def __getstate__(self): + state_dict = self.__dict__.copy() + try: + # try pickling the built object + # if it fails, then we need to delete it + # and build it again + pickle.dumps(state_dict["_built_object"]) + except Exception: + self.reset_params() + del state_dict["_built_object"] + del state_dict["_built"] + return state_dict + + def __setstate__(self, state): + self._data = state["_data"] + self.params = state["params"] + self.base_type = state["base_type"] + self.is_task = state["is_task"] + self.edges = state["edges"] + self.id = state["id"] + self._parse_data() + if "_built_object" in state: + self._built_object = state["_built_object"] + self._built = state["_built"] + else: + self._built_object = UnbuiltObject() + self._built = False + self.artifacts: Dict[str, Any] = {} + self.task_id: Optional[str] = None def _parse_data(self) -> None: self.data = self._data["data"] @@ -68,6 +130,13 @@ class Vertex: self.base_type = base_type break + def get_task(self): + # using the task_id, get the task from celery + # and return it + from celery.result import AsyncResult # type: ignore + + return AsyncResult(self.task_id) + def _build_params(self): # sourcery skip: merge-list-append, remove-redundant-if # Some params are required, some are optional @@ -89,9 +158,11 @@ class Vertex: for key, value in self.data["node"]["template"].items() if isinstance(value, dict) } - params = {} + params = self.params.copy() if self.params else {} for edge in self.edges: + if not hasattr(edge, "target_param"): + continue param_key = edge.target_param if param_key in template_dict: if template_dict[param_key]["list"]: @@ -102,6 +173,8 @@ class Vertex: params[param_key] = edge.source for key, value in template_dict.items(): + if key in params: + continue # Skip _type and any value that has show == False and is not code # If we don't want to show code but we want to use it if key == "_type" or (not value.get("show") and key != "code"): @@ -144,6 +217,7 @@ class Vertex: else: params.pop(key, None) # Add _type to params + self._raw_params = params self.params = params def _build(self, user_id=None): @@ -151,13 +225,13 @@ class Vertex: Initiate the build process. """ logger.debug(f"Building {self.vertex_type}") - self._build_each_node_in_params_dict() + self._build_each_node_in_params_dict(user_id) self._get_and_instantiate_class(user_id) self._validate_built_object() self._built = True - def _build_each_node_in_params_dict(self): + def _build_each_node_in_params_dict(self, user_id=None): """ Iterates over each node in the params dictionary and builds it. """ @@ -166,9 +240,9 @@ class Vertex: if value == self: del self.params[key] continue - self._build_node_and_update_params(key, value) + self._build_node_and_update_params(key, value, user_id) elif isinstance(value, list) and self._is_list_of_nodes(value): - self._build_list_of_nodes_and_update_params(key, value) + self._build_list_of_nodes_and_update_params(key, value, user_id) def _is_node(self, value): """ @@ -182,11 +256,31 @@ class Vertex: """ return all(self._is_node(node) for node in value) + def get_result(self, user_id=None, timeout=None) -> Any: + # Check if the Vertex was built already + if self._built: + return self._built_object + + if self.is_task and self.task_id is not None: + task = self.get_task() + result = task.get(timeout=timeout) + if result is not None: # If result is ready + self._update_built_object_and_artifacts(result) + return self._built_object + else: + # Handle the case when the result is not ready (retry, throw exception, etc.) + pass + + # If there's no task_id, build the vertex locally + self.build(user_id) + return self._built_object + def _build_node_and_update_params(self, key, node, user_id=None): """ Builds a given node and updates the params dictionary accordingly. """ - result = node.build(user_id) + + result = node.get_result(user_id) self._handle_func(key, result) if isinstance(result, list): self._extend_params_list_with_result(key, result) @@ -200,7 +294,7 @@ class Vertex: """ self.params[key] = [] for node in nodes: - built = node.build(user_id) + built = node.get_result(user_id) if isinstance(built, list): if key not in self.params: self.params[key] = [] @@ -245,6 +339,7 @@ class Vertex: ) self._update_built_object_and_artifacts(result) except Exception as exc: + logger.exception(exc) raise ValueError( f"Error building node {self.vertex_type}: {str(exc)}" ) from exc @@ -285,7 +380,10 @@ class Vertex: return f"Vertex(id={self.id}, data={self.data})" def __eq__(self, __o: object) -> bool: - return self.id == __o.id if isinstance(__o, Vertex) else False + try: + return self.id == __o.id if isinstance(__o, Vertex) else False + except AttributeError: + return False def __hash__(self) -> int: return id(self) diff --git a/src/backend/langflow/graph/vertex/types.py b/src/backend/langflow/graph/vertex/types.py index d5b7d2d58..7609982a5 100644 --- a/src/backend/langflow/graph/vertex/types.py +++ b/src/backend/langflow/graph/vertex/types.py @@ -7,14 +7,27 @@ from langflow.interface.utils import extract_input_variables_from_prompt class AgentVertex(Vertex): - def __init__(self, data: Dict): - super().__init__(data, base_type="agents") + def __init__(self, data: Dict, params: Optional[Dict] = None): + super().__init__(data, base_type="agents", params=params) self.tools: List[Union[ToolkitVertex, ToolVertex]] = [] self.chains: List[ChainVertex] = [] + def __getstate__(self): + state = super().__getstate__() + state["tools"] = self.tools + state["chains"] = self.chains + return state + + def __setstate__(self, state): + self.tools = state["tools"] + self.chains = state["chains"] + super().__setstate__(state) + def _set_tools_and_chains(self) -> None: for edge in self.edges: + if not hasattr(edge, "source"): + continue source_node = edge.source if isinstance(source_node, (ToolVertex, ToolkitVertex)): self.tools.append(source_node) @@ -38,16 +51,16 @@ class AgentVertex(Vertex): class ToolVertex(Vertex): - def __init__(self, data: Dict): - super().__init__(data, base_type="tools") + def __init__(self, data: Dict, params: Optional[Dict] = None): + super().__init__(data, base_type="tools", params=params) class LLMVertex(Vertex): built_node_type = None class_built_object = None - def __init__(self, data: Dict): - super().__init__(data, base_type="llms") + def __init__(self, data: Dict, params: Optional[Dict] = None): + super().__init__(data, base_type="llms", params=params) def build(self, force: bool = False, user_id=None, *args, **kwargs) -> Any: # LLM is different because some models might take up too much memory @@ -64,13 +77,13 @@ class LLMVertex(Vertex): class ToolkitVertex(Vertex): - def __init__(self, data: Dict): - super().__init__(data, base_type="toolkits") + def __init__(self, data: Dict, params=None): + super().__init__(data, base_type="toolkits", params=params) class FileToolVertex(ToolVertex): - def __init__(self, data: Dict): - super().__init__(data) + def __init__(self, data: Dict, params=None): + super().__init__(data, params=params) class WrapperVertex(Vertex): @@ -86,17 +99,19 @@ class WrapperVertex(Vertex): class DocumentLoaderVertex(Vertex): - def __init__(self, data: Dict): - super().__init__(data, base_type="documentloaders") + def __init__(self, data: Dict, params: Optional[Dict] = None): + super().__init__(data, base_type="documentloaders", params=params) def _built_object_repr(self): # This built_object is a list of documents. Maybe we should # show how many documents are in the list? if self._built_object: - avg_length = sum(len(doc.page_content) for doc in self._built_object) / len( - self._built_object - ) + avg_length = sum( + len(doc.page_content) + for doc in self._built_object + if hasattr(doc, "page_content") + ) / len(self._built_object) return f"""{self.vertex_type}({len(self._built_object)} documents) \nAvg. Document Length (characters): {int(avg_length)} Documents: {self._built_object[:3]}...""" @@ -104,14 +119,51 @@ class DocumentLoaderVertex(Vertex): class EmbeddingVertex(Vertex): - def __init__(self, data: Dict): - super().__init__(data, base_type="embeddings") + def __init__(self, data: Dict, params: Optional[Dict] = None): + super().__init__(data, base_type="embeddings", params=params) class VectorStoreVertex(Vertex): - def __init__(self, data: Dict): + def __init__(self, data: Dict, params=None): super().__init__(data, base_type="vectorstores") + self.params = params or {} + + # VectorStores may contain databse connections + # so we need to define the __reduce__ method and the __setstate__ method + # to avoid pickling errors + def clean_edges_for_pickling(self): + # for each edge that has self as source + # we need to clear the _built_object of the target + # so that we don't try to pickle a database connection + for edge in self.edges: + if edge.source == self: + edge.target._built_object = None + edge.target._built = False + edge.target.params[edge.target_param] = self + + def remove_docs_and_texts_from_params(self): + # remove documents and texts from params + # so that we don't try to pickle a database connection + self.params.pop("documents", None) + self.params.pop("texts", None) + + def __getstate__(self): + # We want to save the params attribute + # and if "documents" or "texts" are in the params + # we want to remove them because they have already + # been processed. + params = self.params.copy() + params.pop("documents", None) + params.pop("texts", None) + self.clean_edges_for_pickling() + + return super().__getstate__() + + def __setstate__(self, state): + super().__setstate__(state) + self.remove_docs_and_texts_from_params() + class MemoryVertex(Vertex): def __init__(self, data: Dict): @@ -124,8 +176,8 @@ class RetrieverVertex(Vertex): class TextSplitterVertex(Vertex): - def __init__(self, data: Dict): - super().__init__(data, base_type="textsplitters") + def __init__(self, data: Dict, params: Optional[Dict] = None): + super().__init__(data, base_type="textsplitters", params=params) def _built_object_repr(self): # This built_object is a list of documents. Maybe we should @@ -211,7 +263,7 @@ class PromptVertex(Vertex): self.params["input_variables"] = list( set(self.params["input_variables"]) ) - else: + elif isinstance(self.params, dict): self.params.pop("input_variables", None) self._build(user_id=user_id) @@ -258,8 +310,13 @@ class OutputParserVertex(Vertex): class CustomComponentVertex(Vertex): def __init__(self, data: Dict): - super().__init__(data, base_type="custom_components") + super().__init__(data, base_type="custom_components", is_task=True) def _built_object_repr(self): + if self.task_id and self.is_task: + if task := self.get_task(): + return str(task.info) + else: + return f"Task {self.task_id} is not running" if self.artifacts and "repr" in self.artifacts: return self.artifacts["repr"] or super()._built_object_repr() diff --git a/src/backend/langflow/graph/vertex/utils.py b/src/backend/langflow/graph/vertex/utils.py new file mode 100644 index 000000000..e1d439f4b --- /dev/null +++ b/src/backend/langflow/graph/vertex/utils.py @@ -0,0 +1,5 @@ +from langflow.utils.constants import PYTHON_BASIC_TYPES + + +def is_basic_type(obj): + return type(obj) in PYTHON_BASIC_TYPES diff --git a/src/backend/langflow/interface/agents/base.py b/src/backend/langflow/interface/agents/base.py index f48015b2c..696f5afd0 100644 --- a/src/backend/langflow/interface/agents/base.py +++ b/src/backend/langflow/interface/agents/base.py @@ -5,7 +5,7 @@ from langchain.agents import types from langflow.custom.customs import get_custom_nodes from langflow.interface.agents.custom import CUSTOM_AGENTS from langflow.interface.base import LangChainTypeCreator -from langflow.services.getters import get_settings_manager +from langflow.services.getters import get_settings_service from langflow.template.frontend_node.agents import AgentFrontendNode from loguru import logger @@ -54,7 +54,7 @@ class AgentCreator(LangChainTypeCreator): # Now this is a generator def to_list(self) -> List[str]: names = [] - settings_manager = get_settings_manager() + settings_service = get_settings_service() for _, agent in self.type_to_loader_dict.items(): agent_name = ( agent.function_name() @@ -62,8 +62,8 @@ class AgentCreator(LangChainTypeCreator): else agent.__name__ ) if ( - agent_name in settings_manager.settings.AGENTS - or settings_manager.settings.DEV + agent_name in settings_service.settings.AGENTS + or settings_service.settings.DEV ): names.append(agent_name) return names diff --git a/src/backend/langflow/interface/base.py b/src/backend/langflow/interface/base.py index 4bb657b3c..13dd05619 100644 --- a/src/backend/langflow/interface/base.py +++ b/src/backend/langflow/interface/base.py @@ -2,7 +2,7 @@ from abc import ABC, abstractmethod from typing import Any, Dict, List, Optional, Type, Union from langchain.chains.base import Chain from langchain.agents import AgentExecutor -from langflow.services.getters import get_settings_manager +from langflow.services.getters import get_settings_service from pydantic import BaseModel from langflow.template.field.base import TemplateField @@ -27,11 +27,11 @@ class LangChainTypeCreator(BaseModel, ABC): @property def docs_map(self) -> Dict[str, str]: """A dict with the name of the component as key and the documentation link as value.""" - settings_manager = get_settings_manager() + settings_service = get_settings_service() if self.name_docs_dict is None: try: type_settings = getattr( - settings_manager.settings, self.type_name.upper() + settings_service.settings, self.type_name.upper() ) self.name_docs_dict = { name: value_dict["documentation"] diff --git a/src/backend/langflow/interface/chains/base.py b/src/backend/langflow/interface/chains/base.py index 99b0a693f..b2d07b7e4 100644 --- a/src/backend/langflow/interface/chains/base.py +++ b/src/backend/langflow/interface/chains/base.py @@ -3,7 +3,7 @@ from typing import Any, Dict, List, Optional, Type from langflow.custom.customs import get_custom_nodes from langflow.interface.base import LangChainTypeCreator from langflow.interface.importing.utils import import_class -from langflow.services.getters import get_settings_manager +from langflow.services.getters import get_settings_service from langflow.template.frontend_node.chains import ChainFrontendNode from loguru import logger @@ -31,7 +31,7 @@ class ChainCreator(LangChainTypeCreator): @property def type_to_loader_dict(self) -> Dict: if self.type_dict is None: - settings_manager = get_settings_manager() + settings_service = get_settings_service() self.type_dict: dict[str, Any] = { chain_name: import_class(f"langchain.chains.{chain_name}") for chain_name in chains.__all__ @@ -45,8 +45,8 @@ class ChainCreator(LangChainTypeCreator): self.type_dict = { name: chain for name, chain in self.type_dict.items() - if name in settings_manager.settings.CHAINS - or settings_manager.settings.DEV + if name in settings_service.settings.CHAINS + or settings_service.settings.DEV } return self.type_dict diff --git a/src/backend/langflow/interface/custom/custom_component.py b/src/backend/langflow/interface/custom/custom_component.py index 9de09507a..49ac81ab1 100644 --- a/src/backend/langflow/interface/custom/custom_component.py +++ b/src/backend/langflow/interface/custom/custom_component.py @@ -4,7 +4,7 @@ from fastapi import HTTPException from langflow.interface.custom.constants import CUSTOM_COMPONENT_SUPPORTED_TYPES from langflow.interface.custom.component import Component from langflow.interface.custom.directory_reader import DirectoryReader -from langflow.services.getters import get_db_manager +from langflow.services.getters import get_db_service from langflow.interface.custom.utils import extract_inner_type from langflow.utils import validate @@ -176,25 +176,25 @@ class CustomComponent(Component, extra=Extra.allow): return validate.create_function(self.code, self.function_entrypoint_name) def load_flow(self, flow_id: str, tweaks: Optional[dict] = None) -> Any: - from langflow.processing.process import build_sorted_vertices_with_caching + from langflow.processing.process import build_sorted_vertices from langflow.processing.process import process_tweaks - db_manager = get_db_manager() - with session_getter(db_manager) as session: + db_service = get_db_service() + with session_getter(db_service) as session: graph_data = flow.data if (flow := session.get(Flow, flow_id)) else None if not graph_data: raise ValueError(f"Flow {flow_id} not found") if tweaks: graph_data = process_tweaks(graph_data=graph_data, tweaks=tweaks) - return build_sorted_vertices_with_caching(graph_data) + return build_sorted_vertices(graph_data) def list_flows(self, *, get_session: Optional[Callable] = None) -> List[Flow]: if not self.user_id: raise ValueError("Session is invalid") try: get_session = get_session or session_getter - db_manager = get_db_manager() - with get_session(db_manager) as session: + db_service = get_db_service() + with get_session(db_service) as session: flows = session.query(Flow).filter(Flow.user_id == self.user_id).all() return flows except Exception as e: @@ -209,8 +209,8 @@ class CustomComponent(Component, extra=Extra.allow): get_session: Optional[Callable] = None, ) -> Flow: get_session = get_session or session_getter - db_manager = get_db_manager() - with get_session(db_manager) as session: + db_service = get_db_service() + with get_session(db_service) as session: if flow_id: flow = session.query(Flow).get(flow_id) elif flow_name: diff --git a/src/backend/langflow/interface/document_loaders/base.py b/src/backend/langflow/interface/document_loaders/base.py index 05311444b..e2c379b67 100644 --- a/src/backend/langflow/interface/document_loaders/base.py +++ b/src/backend/langflow/interface/document_loaders/base.py @@ -1,7 +1,7 @@ from typing import Dict, List, Optional, Type from langflow.interface.base import LangChainTypeCreator -from langflow.services.getters import get_settings_manager +from langflow.services.getters import get_settings_service from langflow.template.frontend_node.documentloaders import DocumentLoaderFrontNode from langflow.interface.custom_lists import documentloaders_type_to_cls_dict @@ -31,12 +31,12 @@ class DocumentLoaderCreator(LangChainTypeCreator): return None def to_list(self) -> List[str]: - settings_manager = get_settings_manager() + settings_service = get_settings_service() return [ documentloader.__name__ for documentloader in self.type_to_loader_dict.values() - if documentloader.__name__ in settings_manager.settings.DOCUMENTLOADERS - or settings_manager.settings.DEV + if documentloader.__name__ in settings_service.settings.DOCUMENTLOADERS + or settings_service.settings.DEV ] diff --git a/src/backend/langflow/interface/embeddings/base.py b/src/backend/langflow/interface/embeddings/base.py index 0145d9859..d280cf1c1 100644 --- a/src/backend/langflow/interface/embeddings/base.py +++ b/src/backend/langflow/interface/embeddings/base.py @@ -2,7 +2,7 @@ from typing import Dict, List, Optional, Type from langflow.interface.base import LangChainTypeCreator from langflow.interface.custom_lists import embedding_type_to_cls_dict -from langflow.services.getters import get_settings_manager +from langflow.services.getters import get_settings_service from langflow.template.frontend_node.base import FrontendNode from langflow.template.frontend_node.embeddings import EmbeddingFrontendNode @@ -33,12 +33,12 @@ class EmbeddingCreator(LangChainTypeCreator): return None def to_list(self) -> List[str]: - settings_manager = get_settings_manager() + settings_service = get_settings_service() return [ embedding.__name__ for embedding in self.type_to_loader_dict.values() - if embedding.__name__ in settings_manager.settings.EMBEDDINGS - or settings_manager.settings.DEV + if embedding.__name__ in settings_service.settings.EMBEDDINGS + or settings_service.settings.DEV ] diff --git a/src/backend/langflow/interface/initialize/loading.py b/src/backend/langflow/interface/initialize/loading.py index b600fb5b2..82075cd2e 100644 --- a/src/backend/langflow/interface/initialize/loading.py +++ b/src/backend/langflow/interface/initialize/loading.py @@ -1,7 +1,7 @@ import json import orjson from typing import Any, Callable, Dict, Sequence, Type, TYPE_CHECKING - +from langchain.schema import Document from langchain.agents import agent as agent_module from langchain.agents.agent import AgentExecutor from langchain.agents.agent_toolkits.base import BaseToolkit @@ -40,12 +40,23 @@ if TYPE_CHECKING: from langflow import CustomComponent +def build_vertex_in_params(params: Dict) -> Dict: + from langflow.graph.vertex.base import Vertex + + # If any of the values in params is a Vertex, we will build it + return { + key: value.build() if isinstance(value, Vertex) else value + for key, value in params.items() + } + + def instantiate_class( node_type: str, base_type: str, params: Dict, user_id=None ) -> Any: """Instantiate class from module type and key, and params""" params = convert_params_to_sets(params) params = convert_kwargs(params) + if node_type in CUSTOM_NODES: if custom_node := CUSTOM_NODES.get(node_type): if hasattr(custom_node, "initialize"): @@ -289,6 +300,13 @@ def instantiate_embedding(node_type, class_object, params: Dict): def instantiate_vectorstore(class_object: Type[VectorStore], params: Dict): search_kwargs = params.pop("search_kwargs", {}) + # clean up docs or texts to have only documents + if "texts" in params: + params["documents"] = params.pop("texts") + if "documents" in params: + params["documents"] = [ + doc for doc in params["documents"] if isinstance(doc, Document) + ] if initializer := vecstore_initializer.get(class_object.__name__): vecstore = initializer(class_object, params) else: diff --git a/src/backend/langflow/interface/initialize/vector_store.py b/src/backend/langflow/interface/initialize/vector_store.py index 233292626..59e7c0d3b 100644 --- a/src/backend/langflow/interface/initialize/vector_store.py +++ b/src/backend/langflow/interface/initialize/vector_store.py @@ -8,7 +8,7 @@ from langchain.vectorstores import ( SupabaseVectorStore, MongoDBAtlasVectorSearch, ) - +from langchain.schema import Document import os import orjson @@ -201,11 +201,16 @@ def initialize_chroma(class_object: Type[Chroma], params: dict): if "texts" in params: params["documents"] = params.pop("texts") for doc in params["documents"]: + if not isinstance(doc, Document): + # remove any non-Document objects from the list + params["documents"].remove(doc) + continue if doc.metadata is None: doc.metadata = {} for key, value in doc.metadata.items(): if value is None: doc.metadata[key] = "" + chromadb = class_object.from_documents(**params) if persist: chromadb.persist() diff --git a/src/backend/langflow/interface/listing.py b/src/backend/langflow/interface/listing.py index 1cab1efbc..aa72e568e 100644 --- a/src/backend/langflow/interface/listing.py +++ b/src/backend/langflow/interface/listing.py @@ -1,19 +1,4 @@ -from langflow.interface.agents.base import agent_creator -from langflow.interface.chains.base import chain_creator -from langflow.interface.document_loaders.base import documentloader_creator -from langflow.interface.embeddings.base import embedding_creator -from langflow.interface.llms.base import llm_creator -from langflow.interface.memories.base import memory_creator -from langflow.interface.prompts.base import prompt_creator -from langflow.interface.text_splitters.base import textsplitter_creator -from langflow.interface.toolkits.base import toolkits_creator -from langflow.interface.tools.base import tool_creator -from langflow.interface.utilities.base import utility_creator -from langflow.interface.vector_store.base import vectorstore_creator -from langflow.interface.wrappers.base import wrapper_creator -from langflow.interface.output_parsers.base import output_parser_creator -from langflow.interface.retrievers.base import retriever_creator -from langflow.interface.custom.base import custom_component_creator +from langflow.services.getters import get_settings_service from langflow.utils.lazy_load import LazyLoadDictBase @@ -33,24 +18,10 @@ class AllTypesDict(LazyLoadDictBase): } def get_type_dict(self): - return { - "agents": agent_creator.to_list(), - "prompts": prompt_creator.to_list(), - "llms": llm_creator.to_list(), - "tools": tool_creator.to_list(), - "chains": chain_creator.to_list(), - "memory": memory_creator.to_list(), - "toolkits": toolkits_creator.to_list(), - "wrappers": wrapper_creator.to_list(), - "documentLoaders": documentloader_creator.to_list(), - "vectorStore": vectorstore_creator.to_list(), - "embeddings": embedding_creator.to_list(), - "textSplitters": textsplitter_creator.to_list(), - "utilities": utility_creator.to_list(), - "outputParsers": output_parser_creator.to_list(), - "retrievers": retriever_creator.to_list(), - "custom_components": custom_component_creator.to_list(), - } + from langflow.interface.types import get_all_types_dict + + settings_service = get_settings_service() + return get_all_types_dict(settings_service=settings_service) lazy_load_dict = AllTypesDict() diff --git a/src/backend/langflow/interface/llms/base.py b/src/backend/langflow/interface/llms/base.py index 17a2ae0ee..ffb7fa2f2 100644 --- a/src/backend/langflow/interface/llms/base.py +++ b/src/backend/langflow/interface/llms/base.py @@ -2,7 +2,7 @@ from typing import Dict, List, Optional, Type from langflow.interface.base import LangChainTypeCreator from langflow.interface.custom_lists import llm_type_to_cls_dict -from langflow.services.getters import get_settings_manager +from langflow.services.getters import get_settings_service from langflow.template.frontend_node.llms import LLMFrontendNode from loguru import logger @@ -34,12 +34,12 @@ class LLMCreator(LangChainTypeCreator): return None def to_list(self) -> List[str]: - settings_manager = get_settings_manager() + settings_service = get_settings_service() return [ llm.__name__ for llm in self.type_to_loader_dict.values() - if llm.__name__ in settings_manager.settings.LLMS - or settings_manager.settings.DEV + if llm.__name__ in settings_service.settings.LLMS + or settings_service.settings.DEV ] diff --git a/src/backend/langflow/interface/memories/base.py b/src/backend/langflow/interface/memories/base.py index 6c826d0ac..3f3658304 100644 --- a/src/backend/langflow/interface/memories/base.py +++ b/src/backend/langflow/interface/memories/base.py @@ -2,7 +2,7 @@ from typing import Dict, List, Optional, Type from langflow.interface.base import LangChainTypeCreator from langflow.interface.custom_lists import memory_type_to_cls_dict -from langflow.services.getters import get_settings_manager +from langflow.services.getters import get_settings_service from langflow.template.frontend_node.base import FrontendNode from langflow.template.frontend_node.memories import MemoryFrontendNode @@ -49,12 +49,12 @@ class MemoryCreator(LangChainTypeCreator): return None def to_list(self) -> List[str]: - settings_manager = get_settings_manager() + settings_service = get_settings_service() return [ memory.__name__ for memory in self.type_to_loader_dict.values() - if memory.__name__ in settings_manager.settings.MEMORIES - or settings_manager.settings.DEV + if memory.__name__ in settings_service.settings.MEMORIES + or settings_service.settings.DEV ] diff --git a/src/backend/langflow/interface/output_parsers/base.py b/src/backend/langflow/interface/output_parsers/base.py index 48bcd1896..06dfdf4eb 100644 --- a/src/backend/langflow/interface/output_parsers/base.py +++ b/src/backend/langflow/interface/output_parsers/base.py @@ -4,7 +4,7 @@ from langchain import output_parsers from langflow.interface.base import LangChainTypeCreator from langflow.interface.importing.utils import import_class -from langflow.services.getters import get_settings_manager +from langflow.services.getters import get_settings_service from langflow.template.frontend_node.output_parsers import OutputParserFrontendNode from loguru import logger @@ -24,7 +24,7 @@ class OutputParserCreator(LangChainTypeCreator): @property def type_to_loader_dict(self) -> Dict: if self.type_dict is None: - settings_manager = get_settings_manager() + settings_service = get_settings_service() self.type_dict = { output_parser_name: import_class( f"langchain.output_parsers.{output_parser_name}" @@ -35,8 +35,8 @@ class OutputParserCreator(LangChainTypeCreator): self.type_dict = { name: output_parser for name, output_parser in self.type_dict.items() - if name in settings_manager.settings.OUTPUT_PARSERS - or settings_manager.settings.DEV + if name in settings_service.settings.OUTPUT_PARSERS + or settings_service.settings.DEV } return self.type_dict diff --git a/src/backend/langflow/interface/prompts/base.py b/src/backend/langflow/interface/prompts/base.py index d74e0c1e8..29d3e8ba8 100644 --- a/src/backend/langflow/interface/prompts/base.py +++ b/src/backend/langflow/interface/prompts/base.py @@ -5,7 +5,7 @@ from langchain import prompts from langflow.custom.customs import get_custom_nodes from langflow.interface.base import LangChainTypeCreator from langflow.interface.importing.utils import import_class -from langflow.services.getters import get_settings_manager +from langflow.services.getters import get_settings_service from langflow.template.frontend_node.prompts import PromptFrontendNode from loguru import logger @@ -21,7 +21,7 @@ class PromptCreator(LangChainTypeCreator): @property def type_to_loader_dict(self) -> Dict: - settings_manager = get_settings_manager() + settings_service = get_settings_service() if self.type_dict is None: self.type_dict = { prompt_name: import_class(f"langchain.prompts.{prompt_name}") @@ -36,8 +36,8 @@ class PromptCreator(LangChainTypeCreator): self.type_dict = { name: prompt for name, prompt in self.type_dict.items() - if name in settings_manager.settings.PROMPTS - or settings_manager.settings.DEV + if name in settings_service.settings.PROMPTS + or settings_service.settings.DEV } return self.type_dict diff --git a/src/backend/langflow/interface/retrievers/base.py b/src/backend/langflow/interface/retrievers/base.py index 415a7fda8..4ee40e659 100644 --- a/src/backend/langflow/interface/retrievers/base.py +++ b/src/backend/langflow/interface/retrievers/base.py @@ -4,7 +4,7 @@ from langchain import retrievers from langflow.interface.base import LangChainTypeCreator from langflow.interface.importing.utils import import_class -from langflow.services.getters import get_settings_manager +from langflow.services.getters import get_settings_service from langflow.template.frontend_node.retrievers import RetrieverFrontendNode from loguru import logger @@ -49,12 +49,12 @@ class RetrieverCreator(LangChainTypeCreator): return None def to_list(self) -> List[str]: - settings_manager = get_settings_manager() + settings_service = get_settings_service() return [ retriever for retriever in self.type_to_loader_dict.keys() - if retriever in settings_manager.settings.RETRIEVERS - or settings_manager.settings.DEV + if retriever in settings_service.settings.RETRIEVERS + or settings_service.settings.DEV ] diff --git a/src/backend/langflow/interface/run.py b/src/backend/langflow/interface/run.py index eb012e182..63391204a 100644 --- a/src/backend/langflow/interface/run.py +++ b/src/backend/langflow/interface/run.py @@ -1,22 +1,9 @@ -from typing import Any, Dict, Tuple -from langflow.services.cache.utils import memoize_dict +from typing import Dict, Tuple from langflow.graph import Graph from loguru import logger -@memoize_dict(maxsize=10) -def build_langchain_object_with_caching(data_graph): - """ - Build langchain object from data_graph. - """ - - logger.debug("Building langchain object") - graph = Graph.from_payload(data_graph) - return graph.build() - - -@memoize_dict(maxsize=10) -def build_sorted_vertices_with_caching(data_graph) -> Tuple[Any, Dict]: +def build_sorted_vertices(data_graph) -> Tuple[Graph, Dict]: """ Build langchain object from data_graph. """ @@ -29,7 +16,7 @@ def build_sorted_vertices_with_caching(data_graph) -> Tuple[Any, Dict]: vertex.build() if vertex.artifacts: artifacts.update(vertex.artifacts) - return graph.build(), artifacts + return graph, artifacts def build_langchain_object(data_graph): diff --git a/src/backend/langflow/interface/text_splitters/base.py b/src/backend/langflow/interface/text_splitters/base.py index fba4e32cc..4f337817f 100644 --- a/src/backend/langflow/interface/text_splitters/base.py +++ b/src/backend/langflow/interface/text_splitters/base.py @@ -1,7 +1,7 @@ from typing import Dict, List, Optional, Type from langflow.interface.base import LangChainTypeCreator -from langflow.services.getters import get_settings_manager +from langflow.services.getters import get_settings_service from langflow.template.frontend_node.textsplitters import TextSplittersFrontendNode from langflow.interface.custom_lists import textsplitter_type_to_cls_dict @@ -31,12 +31,12 @@ class TextSplitterCreator(LangChainTypeCreator): return None def to_list(self) -> List[str]: - settings_manager = get_settings_manager() + settings_service = get_settings_service() return [ textsplitter.__name__ for textsplitter in self.type_to_loader_dict.values() - if textsplitter.__name__ in settings_manager.settings.TEXTSPLITTERS - or settings_manager.settings.DEV + if textsplitter.__name__ in settings_service.settings.TEXTSPLITTERS + or settings_service.settings.DEV ] diff --git a/src/backend/langflow/interface/toolkits/base.py b/src/backend/langflow/interface/toolkits/base.py index be602cb7c..73ca4852f 100644 --- a/src/backend/langflow/interface/toolkits/base.py +++ b/src/backend/langflow/interface/toolkits/base.py @@ -4,7 +4,7 @@ from langchain.agents import agent_toolkits from langflow.interface.base import LangChainTypeCreator from langflow.interface.importing.utils import import_class, import_module -from langflow.services.getters import get_settings_manager +from langflow.services.getters import get_settings_service from loguru import logger from langflow.utils.util import build_template_from_class @@ -30,7 +30,7 @@ class ToolkitCreator(LangChainTypeCreator): @property def type_to_loader_dict(self) -> Dict: if self.type_dict is None: - settings_manager = get_settings_manager() + settings_service = get_settings_service() self.type_dict = { toolkit_name: import_class( f"langchain.agents.agent_toolkits.{toolkit_name}" @@ -38,7 +38,7 @@ class ToolkitCreator(LangChainTypeCreator): # if toolkit_name is not lower case it is a class for toolkit_name in agent_toolkits.__all__ if not toolkit_name.islower() - and toolkit_name in settings_manager.settings.TOOLKITS + and toolkit_name in settings_service.settings.TOOLKITS } return self.type_dict diff --git a/src/backend/langflow/interface/tools/base.py b/src/backend/langflow/interface/tools/base.py index 999f93703..a99025ff7 100644 --- a/src/backend/langflow/interface/tools/base.py +++ b/src/backend/langflow/interface/tools/base.py @@ -15,7 +15,7 @@ from langflow.interface.tools.constants import ( OTHER_TOOLS, ) from langflow.interface.tools.util import get_tool_params -from langflow.services.getters import get_settings_manager +from langflow.services.getters import get_settings_service from langflow.template.field.base import TemplateField from langflow.template.template.base import Template @@ -67,7 +67,7 @@ class ToolCreator(LangChainTypeCreator): @property def type_to_loader_dict(self) -> Dict: - settings_manager = get_settings_manager() + settings_service = get_settings_service() if self.tools_dict is None: all_tools = {} @@ -77,8 +77,8 @@ class ToolCreator(LangChainTypeCreator): tool_name = tool_params.get("name") or tool if ( - tool_name in settings_manager.settings.TOOLS - or settings_manager.settings.DEV + tool_name in settings_service.settings.TOOLS + or settings_service.settings.DEV ): if tool_name == "JsonSpec": tool_params["path"] = tool_params.pop("dict_") # type: ignore diff --git a/src/backend/langflow/interface/tools/util.py b/src/backend/langflow/interface/tools/util.py index fc91387ed..8e4f582c1 100644 --- a/src/backend/langflow/interface/tools/util.py +++ b/src/backend/langflow/interface/tools/util.py @@ -4,7 +4,6 @@ import textwrap from typing import Dict, Union from langchain.agents.tools import Tool -from loguru import logger def get_func_tool_params(func, **kwargs) -> Union[Dict, None]: diff --git a/src/backend/langflow/interface/types.py b/src/backend/langflow/interface/types.py index fa9967649..25d3e8c8b 100644 --- a/src/backend/langflow/interface/types.py +++ b/src/backend/langflow/interface/types.py @@ -1,7 +1,7 @@ import ast import contextlib from typing import Any, List -from langflow.api.utils import merge_nested_dicts_with_renaming +from langflow.api.utils import get_new_key from langflow.interface.agents.base import agent_creator from langflow.interface.chains.base import chain_creator from langflow.interface.custom.constants import CUSTOM_COMPONENT_SUPPORTED_TYPES @@ -433,6 +433,24 @@ def build_invalid_menu(invalid_components): return invalid_menu +def merge_nested_dicts_with_renaming(dict1, dict2): + for key, value in dict2.items(): + if ( + key in dict1 + and isinstance(value, dict) + and isinstance(dict1.get(key), dict) + ): + for sub_key, sub_value in value.items(): + if sub_key in dict1[key]: + new_key = get_new_key(dict1[key], sub_key) + dict1[key][new_key] = sub_value + else: + dict1[key][sub_key] = sub_value + else: + dict1[key] = value + return dict1 + + def build_langchain_custom_component_list_from_path(path: str): """Build a list of custom components for the langchain from a given path""" file_list = load_files_from_path(path) @@ -446,3 +464,51 @@ def build_langchain_custom_component_list_from_path(path: str): invalid_menu = build_invalid_menu(invalid_components) return merge_nested_dicts_with_renaming(valid_menu, invalid_menu) + + +def get_all_types_dict(settings_service): + native_components = build_langchain_types_dict() + # custom_components is a list of dicts + # need to merge all the keys into one dict + custom_components_from_file: dict[str, Any] = {} + if settings_service.settings.COMPONENTS_PATH: + logger.info( + f"Building custom components from {settings_service.settings.COMPONENTS_PATH}" + ) + + custom_component_dicts = [] + processed_paths = [] + for path in settings_service.settings.COMPONENTS_PATH: + if str(path) in processed_paths: + continue + custom_component_dict = build_langchain_custom_component_list_from_path( + str(path) + ) + custom_component_dicts.append(custom_component_dict) + processed_paths.append(str(path)) + + logger.info(f"Loading {len(custom_component_dicts)} category(ies)") + for custom_component_dict in custom_component_dicts: + # custom_component_dict is a dict of dicts + if not custom_component_dict: + continue + category = list(custom_component_dict.keys())[0] + logger.info( + f"Loading {len(custom_component_dict[category])} component(s) from category {category}" + ) + custom_components_from_file = merge_nested_dicts_with_renaming( + custom_components_from_file, custom_component_dict + ) + + return merge_nested_dicts_with_renaming( + native_components, custom_components_from_file + ) + + +def merge_nested_dicts(dict1, dict2): + for key, value in dict2.items(): + if isinstance(value, dict) and isinstance(dict1.get(key), dict): + dict1[key] = merge_nested_dicts(dict1[key], value) + else: + dict1[key] = value + return dict1 diff --git a/src/backend/langflow/interface/utilities/base.py b/src/backend/langflow/interface/utilities/base.py index 3cec49be9..665143da2 100644 --- a/src/backend/langflow/interface/utilities/base.py +++ b/src/backend/langflow/interface/utilities/base.py @@ -5,7 +5,7 @@ from langchain import SQLDatabase, utilities from langflow.custom.customs import get_custom_nodes from langflow.interface.base import LangChainTypeCreator from langflow.interface.importing.utils import import_class -from langflow.services.getters import get_settings_manager +from langflow.services.getters import get_settings_service from langflow.template.frontend_node.utilities import UtilitiesFrontendNode from loguru import logger @@ -27,7 +27,7 @@ class UtilityCreator(LangChainTypeCreator): from the langchain.chains module and filtering them according to the settings.utilities list. """ if self.type_dict is None: - settings_manager = get_settings_manager() + settings_service = get_settings_service() self.type_dict = { utility_name: import_class(f"langchain.utilities.{utility_name}") for utility_name in utilities.__all__ @@ -37,8 +37,8 @@ class UtilityCreator(LangChainTypeCreator): self.type_dict = { name: utility for name, utility in self.type_dict.items() - if name in settings_manager.settings.UTILITIES - or settings_manager.settings.DEV + if name in settings_service.settings.UTILITIES + or settings_service.settings.DEV } return self.type_dict diff --git a/src/backend/langflow/interface/utils.py b/src/backend/langflow/interface/utils.py index f993c971b..7b78e75c5 100644 --- a/src/backend/langflow/interface/utils.py +++ b/src/backend/langflow/interface/utils.py @@ -10,7 +10,7 @@ from langchain.base_language import BaseLanguageModel from PIL.Image import Image from loguru import logger from langflow.services.chat.config import ChatConfig -from langflow.services.getters import get_settings_manager +from langflow.services.getters import get_settings_service def load_file_into_dict(file_path: str) -> dict: @@ -64,11 +64,11 @@ def extract_input_variables_from_prompt(prompt: str) -> list[str]: def setup_llm_caching(): """Setup LLM caching.""" - settings_manager = get_settings_manager() + settings_service = get_settings_service() try: - set_langchain_cache(settings_manager.settings) + set_langchain_cache(settings_service.settings) except ImportError: - logger.warning(f"Could not import {settings_manager.settings.CACHE}. ") + logger.warning(f"Could not import {settings_service.settings.CACHE_TYPE}. ") except Exception as exc: logger.warning(f"Could not setup LLM caching. Error: {exc}") @@ -80,7 +80,7 @@ def set_langchain_cache(settings): if cache_type := os.getenv("LANGFLOW_LANGCHAIN_CACHE"): try: cache_class = import_class( - f"langchain.cache.{cache_type or settings.CACHE}" + f"langchain.cache.{cache_type or settings.LANGCHAIN_CACHE}" ) logger.debug(f"Setting up LLM caching with {cache_class.__name__}") diff --git a/src/backend/langflow/interface/vector_store/base.py b/src/backend/langflow/interface/vector_store/base.py index 06b8668f3..786031a6b 100644 --- a/src/backend/langflow/interface/vector_store/base.py +++ b/src/backend/langflow/interface/vector_store/base.py @@ -4,7 +4,7 @@ from langchain import vectorstores from langflow.interface.base import LangChainTypeCreator from langflow.interface.importing.utils import import_class -from langflow.services.getters import get_settings_manager +from langflow.services.getters import get_settings_service from langflow.template.frontend_node.vectorstores import VectorStoreFrontendNode from loguru import logger @@ -44,12 +44,12 @@ class VectorstoreCreator(LangChainTypeCreator): return None def to_list(self) -> List[str]: - settings_manager = get_settings_manager() + settings_service = get_settings_service() return [ vectorstore for vectorstore in self.type_to_loader_dict.keys() - if vectorstore in settings_manager.settings.VECTORSTORES - or settings_manager.settings.DEV + if vectorstore in settings_service.settings.VECTORSTORES + or settings_service.settings.DEV ] diff --git a/src/backend/langflow/processing/process.py b/src/backend/langflow/processing/process.py index 911496d23..4c96e2fde 100644 --- a/src/backend/langflow/processing/process.py +++ b/src/backend/langflow/processing/process.py @@ -2,10 +2,11 @@ import json from pathlib import Path from langchain.schema import AgentAction from langflow.interface.run import ( - build_sorted_vertices_with_caching, + build_sorted_vertices, get_memory_key, update_memory_keys, ) +from langflow.services.getters import get_session_service from loguru import logger from langflow.graph import Graph from langchain.chains.base import Chain @@ -13,6 +14,8 @@ from langchain.vectorstores.base import VectorStore from typing import Any, Dict, List, Optional, Tuple, Union from langchain.schema import Document +from pydantic import BaseModel + def fix_memory_inputs(langchain_object): """ @@ -65,7 +68,7 @@ def get_result_and_thought(langchain_object: Any, inputs: dict): langchain_object.verbose = True if hasattr(langchain_object, "return_intermediate_steps"): - langchain_object.return_intermediate_steps = True + langchain_object.return_intermediate_steps = False fix_memory_inputs(langchain_object) @@ -93,26 +96,19 @@ def get_build_result(data_graph, session_id): # otherwise, build the graph and return the result if session_id: logger.debug(f"Loading LangChain object from session {session_id}") - result = build_sorted_vertices_with_caching.get_result_by_session_id(session_id) + result = build_sorted_vertices(data_graph=data_graph) if result is not None: logger.debug("Loaded LangChain object") return result logger.debug("Building langchain object") - return build_sorted_vertices_with_caching(data_graph) - - -def clear_caches_if_needed(clear_cache: bool): - if clear_cache: - build_sorted_vertices_with_caching.clear_cache() - logger.debug("Cleared cache") + return build_sorted_vertices(data_graph) def load_langchain_object( data_graph: Dict[str, Any], session_id: str ) -> Tuple[Union[Chain, VectorStore], Dict[str, Any], str]: langchain_object, artifacts = get_build_result(data_graph, session_id) - session_id = build_sorted_vertices_with_caching.hash logger.debug("Loaded LangChain object") if langchain_object is None: @@ -140,6 +136,7 @@ def generate_result(langchain_object: Union[Chain, VectorStore], inputs: dict): raise ValueError("Inputs must be provided for a Chain") logger.debug("Generating result and thought") result = get_result_and_thought(langchain_object, inputs) + logger.debug("Generated result and thought") elif isinstance(langchain_object, VectorStore): result = langchain_object.search(**inputs) @@ -152,22 +149,34 @@ def generate_result(langchain_object: Union[Chain, VectorStore], inputs: dict): return result -def process_graph_cached( +class Result(BaseModel): + result: Any + session_id: str + + +async def process_graph_cached( data_graph: Dict[str, Any], inputs: Optional[dict] = None, clear_cache=False, session_id=None, -) -> Tuple[Any, str]: - clear_caches_if_needed(clear_cache) - # If session_id is provided, load the langchain_object from the session - # else build the graph and return the result and the new session_id - langchain_object, artifacts, session_id = load_langchain_object( - data_graph, session_id - ) +) -> Result: + session_service = get_session_service() + if clear_cache: + session_service.clear_session(session_id) + if session_id is None: + session_id = session_service.generate_key( + session_id=session_id, data_graph=data_graph + ) + # Load the graph using SessionService + graph, artifacts = session_service.load_session(session_id, data_graph) + built_object = graph.build() processed_inputs = process_inputs(inputs, artifacts) - result = generate_result(langchain_object, processed_inputs) + result = generate_result(built_object, processed_inputs) + # langchain_object is now updated with the new memory + # we need to update the cache with the updated langchain_object + session_service.update_session(session_id, (graph, artifacts)) - return result, session_id + return Result(result=result, session_id=session_id) def load_flow_from_json( diff --git a/src/backend/langflow/services/auth/factory.py b/src/backend/langflow/services/auth/factory.py index 4914ce645..b44019289 100644 --- a/src/backend/langflow/services/auth/factory.py +++ b/src/backend/langflow/services/auth/factory.py @@ -1,12 +1,12 @@ from langflow.services.factory import ServiceFactory -from langflow.services.auth.service import AuthManager +from langflow.services.auth.service import AuthService -class AuthManagerFactory(ServiceFactory): - name = "auth_manager" +class AuthServiceFactory(ServiceFactory): + name = "auth_service" def __init__(self): - super().__init__(AuthManager) + super().__init__(AuthService) - def create(self, settings_manager): - return AuthManager(settings_manager) + def create(self, settings_service): + return AuthService(settings_service) diff --git a/src/backend/langflow/services/auth/service.py b/src/backend/langflow/services/auth/service.py index 29984a75c..5b0acf8c6 100644 --- a/src/backend/langflow/services/auth/service.py +++ b/src/backend/langflow/services/auth/service.py @@ -2,11 +2,11 @@ from langflow.services.base import Service from typing import TYPE_CHECKING if TYPE_CHECKING: - from langflow.services.settings.manager import SettingsManager + from langflow.services.settings.manager import SettingsService -class AuthManager(Service): - name = "auth_manager" +class AuthService(Service): + name = "auth_service" - def __init__(self, settings_manager: "SettingsManager"): - self.settings_manager = settings_manager + def __init__(self, settings_service: "SettingsService"): + self.settings_service = settings_service diff --git a/src/backend/langflow/services/auth/utils.py b/src/backend/langflow/services/auth/utils.py index 801874c7d..f88a1cd12 100644 --- a/src/backend/langflow/services/auth/utils.py +++ b/src/backend/langflow/services/auth/utils.py @@ -12,12 +12,12 @@ from langflow.services.database.models.user.crud import ( get_user_by_username, update_user_last_login_at, ) -from langflow.services.getters import get_session, get_settings_manager +from langflow.services.getters import get_session, get_settings_service from sqlmodel import Session oauth2_login = OAuth2PasswordBearer(tokenUrl="api/v1/login") -API_KEY_NAME = "api-key" +API_KEY_NAME = "x-api-key" api_key_query = APIKeyQuery( name=API_KEY_NAME, scheme_name="API key query", auto_error=False @@ -33,17 +33,17 @@ async def api_key_security( header_param: str = Security(api_key_header), db: Session = Depends(get_session), ) -> Optional[User]: - settings_manager = get_settings_manager() + settings_service = get_settings_service() result: Optional[Union[ApiKey, User]] = None - if settings_manager.auth_settings.AUTO_LOGIN: + if settings_service.auth_settings.AUTO_LOGIN: # Get the first user - if not settings_manager.auth_settings.SUPERUSER: + if not settings_service.auth_settings.SUPERUSER: raise HTTPException( status_code=status.HTTP_400_BAD_REQUEST, detail="Missing first superuser credentials", ) - result = get_user_by_username(db, settings_manager.auth_settings.SUPERUSER) + result = get_user_by_username(db, settings_service.auth_settings.SUPERUSER) elif not query_param and not header_param: raise HTTPException( @@ -72,7 +72,7 @@ async def get_current_user( token: Annotated[str, Depends(oauth2_login)], db: Session = Depends(get_session), ) -> User: - settings_manager = get_settings_manager() + settings_service = get_settings_service() credentials_exception = HTTPException( status_code=status.HTTP_401_UNAUTHORIZED, @@ -83,14 +83,14 @@ async def get_current_user( if isinstance(token, Coroutine): token = await token - if settings_manager.auth_settings.SECRET_KEY is None: + if settings_service.auth_settings.SECRET_KEY is None: raise credentials_exception try: payload = jwt.decode( token, - settings_manager.auth_settings.SECRET_KEY, - algorithms=[settings_manager.auth_settings.ALGORITHM], + settings_service.auth_settings.SECRET_KEY, + algorithms=[settings_service.auth_settings.ALGORITHM], ) user_id: UUID = payload.get("sub") # type: ignore token_type: str = payload.get("type") # type: ignore @@ -130,19 +130,19 @@ def get_current_active_superuser( def verify_password(plain_password, hashed_password): - settings_manager = get_settings_manager() - return settings_manager.auth_settings.pwd_context.verify( + settings_service = get_settings_service() + return settings_service.auth_settings.pwd_context.verify( plain_password, hashed_password ) def get_password_hash(password): - settings_manager = get_settings_manager() - return settings_manager.auth_settings.pwd_context.hash(password) + settings_service = get_settings_service() + return settings_service.auth_settings.pwd_context.hash(password) def create_token(data: dict, expires_delta: timedelta): - settings_manager = get_settings_manager() + settings_service = get_settings_service() to_encode = data.copy() expire = datetime.now(timezone.utc) + expires_delta @@ -150,8 +150,8 @@ def create_token(data: dict, expires_delta: timedelta): return jwt.encode( to_encode, - settings_manager.auth_settings.SECRET_KEY, - algorithm=settings_manager.auth_settings.ALGORITHM, + settings_service.auth_settings.SECRET_KEY, + algorithm=settings_service.auth_settings.ALGORITHM, ) @@ -179,9 +179,9 @@ def create_super_user( def create_user_longterm_token(db: Session = Depends(get_session)) -> dict: - settings_manager = get_settings_manager() - username = settings_manager.auth_settings.SUPERUSER - password = settings_manager.auth_settings.SUPERUSER_PASSWORD + settings_service = get_settings_service() + username = settings_service.auth_settings.SUPERUSER + password = settings_service.auth_settings.SUPERUSER_PASSWORD if not username or not password: raise HTTPException( status_code=status.HTTP_400_BAD_REQUEST, @@ -225,10 +225,10 @@ def get_user_id_from_token(token: str) -> UUID: def create_user_tokens( user_id: UUID, db: Session = Depends(get_session), update_last_login: bool = False ) -> dict: - settings_manager = get_settings_manager() + settings_service = get_settings_service() access_token_expires = timedelta( - minutes=settings_manager.auth_settings.ACCESS_TOKEN_EXPIRE_MINUTES + minutes=settings_service.auth_settings.ACCESS_TOKEN_EXPIRE_MINUTES ) access_token = create_token( data={"sub": str(user_id)}, @@ -236,7 +236,7 @@ def create_user_tokens( ) refresh_token_expires = timedelta( - minutes=settings_manager.auth_settings.REFRESH_TOKEN_EXPIRE_MINUTES + minutes=settings_service.auth_settings.REFRESH_TOKEN_EXPIRE_MINUTES ) refresh_token = create_token( data={"sub": str(user_id), "type": "rf"}, @@ -255,13 +255,13 @@ def create_user_tokens( def create_refresh_token(refresh_token: str, db: Session = Depends(get_session)): - settings_manager = get_settings_manager() + settings_service = get_settings_service() try: payload = jwt.decode( refresh_token, - settings_manager.auth_settings.SECRET_KEY, - algorithms=[settings_manager.auth_settings.ALGORITHM], + settings_service.auth_settings.SECRET_KEY, + algorithms=[settings_service.auth_settings.ALGORITHM], ) user_id: UUID = payload.get("sub") # type: ignore token_type: str = payload.get("type") # type: ignore diff --git a/src/backend/langflow/services/cache/__init__.py b/src/backend/langflow/services/cache/__init__.py index 79e143807..3b122aa9e 100644 --- a/src/backend/langflow/services/cache/__init__.py +++ b/src/backend/langflow/services/cache/__init__.py @@ -1,10 +1,8 @@ from . import factory, manager -from langflow.services.cache.manager import cache_manager -from langflow.services.cache.flow import InMemoryCache +from langflow.services.cache.manager import InMemoryCache __all__ = [ - "cache_manager", "factory", "manager", "InMemoryCache", diff --git a/src/backend/langflow/services/cache/base.py b/src/backend/langflow/services/cache/base.py index 88cb3a1da..4eee6639e 100644 --- a/src/backend/langflow/services/cache/base.py +++ b/src/backend/langflow/services/cache/base.py @@ -1,11 +1,13 @@ import abc -class BaseCache(abc.ABC): +class BaseCacheService(abc.ABC): """ Abstract base class for a cache. """ + name = "cache_service" + @abc.abstractmethod def get(self, key): """ @@ -28,6 +30,16 @@ class BaseCache(abc.ABC): value: The value to cache. """ + @abc.abstractmethod + def upsert(self, key, value): + """ + Add an item to the cache if it doesn't exist, or update it if it does. + + Args: + key: The key of the item. + value: The value to cache. + """ + @abc.abstractmethod def delete(self, key): """ diff --git a/src/backend/langflow/services/cache/factory.py b/src/backend/langflow/services/cache/factory.py index f180f67c0..f00ab239f 100644 --- a/src/backend/langflow/services/cache/factory.py +++ b/src/backend/langflow/services/cache/factory.py @@ -1,11 +1,35 @@ -from langflow.services.cache.manager import CacheManager +from langflow.services.cache.manager import InMemoryCache, RedisCache, BaseCacheService from langflow.services.factory import ServiceFactory +from langflow.utils.logger import logger +from typing import TYPE_CHECKING + +if TYPE_CHECKING: + from langflow.services.settings.manager import SettingsService -class CacheManagerFactory(ServiceFactory): +class CacheServiceFactory(ServiceFactory): def __init__(self): - super().__init__(CacheManager) + super().__init__(BaseCacheService) - def create(self): - # Here you would have logic to create and configure a CacheManager - return CacheManager() + def create(self, settings_service: "SettingsService"): + # Here you would have logic to create and configure a CacheService + # based on the settings_service + + if settings_service.settings.CACHE_TYPE == "redis": + logger.debug("Creating Redis cache") + redis_cache = RedisCache( + host=settings_service.settings.REDIS_HOST, + port=settings_service.settings.REDIS_PORT, + db=settings_service.settings.REDIS_DB, + expiration_time=settings_service.settings.REDIS_CACHE_EXPIRE, + ) + if redis_cache.is_connected(): + logger.debug("Redis cache is connected") + return redis_cache + logger.warning( + "Redis cache is not connected, falling back to in-memory cache" + ) + return InMemoryCache() + + elif settings_service.settings.CACHE_TYPE == "memory": + return InMemoryCache() diff --git a/src/backend/langflow/services/cache/flow.py b/src/backend/langflow/services/cache/flow.py deleted file mode 100644 index 0c10c51e1..000000000 --- a/src/backend/langflow/services/cache/flow.py +++ /dev/null @@ -1,146 +0,0 @@ -import threading -import time -from collections import OrderedDict - -from langflow.services.cache.base import BaseCache - - -class InMemoryCache(BaseCache): - """ - A simple in-memory cache using an OrderedDict. - - This cache supports setting a maximum size and expiration time for cached items. - When the cache is full, it uses a Least Recently Used (LRU) eviction policy. - Thread-safe using a threading Lock. - - Attributes: - max_size (int, optional): Maximum number of items to store in the cache. - expiration_time (int, optional): Time in seconds after which a cached item expires. Default is 1 hour. - - Example: - - cache = InMemoryCache(max_size=3, expiration_time=5) - - # setting cache values - cache.set("a", 1) - cache.set("b", 2) - cache["c"] = 3 - - # getting cache values - a = cache.get("a") - b = cache["b"] - """ - - def __init__(self, max_size=None, expiration_time=60 * 60): - """ - Initialize a new InMemoryCache instance. - - Args: - max_size (int, optional): Maximum number of items to store in the cache. - expiration_time (int, optional): Time in seconds after which a cached item expires. Default is 1 hour. - """ - self._cache = OrderedDict() - self._lock = threading.Lock() - self.max_size = max_size - self.expiration_time = expiration_time - - def get(self, key): - """ - Retrieve an item from the cache. - - Args: - key: The key of the item to retrieve. - - Returns: - The value associated with the key, or None if the key is not found or the item has expired. - """ - with self._lock: - if key in self._cache: - item = self._cache.pop(key) - if ( - self.expiration_time is None - or time.time() - item["time"] < self.expiration_time - ): - # Move the key to the end to make it recently used - self._cache[key] = item - return item["value"] - else: - self.delete(key) - return None - - def set(self, key, value): - """ - Add an item to the cache. - - If the cache is full, the least recently used item is evicted. - - Args: - key: The key of the item. - value: The value to cache. - """ - with self._lock: - if key in self._cache: - # Remove existing key before re-inserting to update order - self.delete(key) - elif self.max_size and len(self._cache) >= self.max_size: - # Remove least recently used item - self._cache.popitem(last=False) - self._cache[key] = {"value": value, "time": time.time()} - - def get_or_set(self, key, value): - """ - Retrieve an item from the cache. If the item does not exist, set it with the provided value. - - Args: - key: The key of the item. - value: The value to cache if the item doesn't exist. - - Returns: - The cached value associated with the key. - """ - with self._lock: - if key in self._cache: - return self.get(key) - self.set(key, value) - return value - - def delete(self, key): - """ - Remove an item from the cache. - - Args: - key: The key of the item to remove. - """ - # with self._lock: - self._cache.pop(key, None) - - def clear(self): - """ - Clear all items from the cache. - """ - with self._lock: - self._cache.clear() - - def __contains__(self, key): - """Check if the key is in the cache.""" - return key in self._cache - - def __getitem__(self, key): - """Retrieve an item from the cache using the square bracket notation.""" - return self.get(key) - - def __setitem__(self, key, value): - """Add an item to the cache using the square bracket notation.""" - self.set(key, value) - - def __delitem__(self, key): - """Remove an item from the cache using the square bracket notation.""" - self.delete(key) - - def __len__(self): - """Return the number of items in the cache.""" - return len(self._cache) - - def __repr__(self): - """Return a string representation of the InMemoryCache instance.""" - return f"InMemoryCache(max_size={self.max_size}, expiration_time={self.expiration_time})" diff --git a/src/backend/langflow/services/cache/manager.py b/src/backend/langflow/services/cache/manager.py index ce9a338ef..19f5034cf 100644 --- a/src/backend/langflow/services/cache/manager.py +++ b/src/backend/langflow/services/cache/manager.py @@ -1,153 +1,330 @@ -from contextlib import contextmanager -from typing import Any, Awaitable, Callable, List, Optional +import threading +import time +from collections import OrderedDict from langflow.services.base import Service -import pandas as pd -from PIL import Image +from langflow.services.cache.base import BaseCacheService + +import pickle + +from loguru import logger -class Subject: - """Base class for implementing the observer pattern.""" +class InMemoryCache(BaseCacheService, Service): - def __init__(self): - self.observers: List[Callable[[], None]] = [] + """ + A simple in-memory cache using an OrderedDict. - def attach(self, observer: Callable[[], None]): - """Attach an observer to the subject.""" - self.observers.append(observer) + This cache supports setting a maximum size and expiration time for cached items. + When the cache is full, it uses a Least Recently Used (LRU) eviction policy. + Thread-safe using a threading Lock. - def detach(self, observer: Callable[[], None]): - """Detach an observer from the subject.""" - self.observers.remove(observer) + Attributes: + max_size (int, optional): Maximum number of items to store in the cache. + expiration_time (int, optional): Time in seconds after which a cached item expires. Default is 1 hour. - def notify(self): - """Notify all observers about an event.""" - for observer in self.observers: - if observer is None: - continue - observer() + Example: + cache = InMemoryCache(max_size=3, expiration_time=5) -class AsyncSubject: - """Base class for implementing the async observer pattern.""" + # setting cache values + cache.set("a", 1) + cache.set("b", 2) + cache["c"] = 3 - def __init__(self): - self.observers: List[Callable[[], Awaitable]] = [] + # getting cache values + a = cache.get("a") + b = cache["b"] + """ - def attach(self, observer: Callable[[], Awaitable]): - """Attach an observer to the subject.""" - self.observers.append(observer) - - def detach(self, observer: Callable[[], Awaitable]): - """Detach an observer from the subject.""" - self.observers.remove(observer) - - async def notify(self): - """Notify all observers about an event.""" - for observer in self.observers: - if observer is None: - continue - await observer() - - -class CacheManager(Subject, Service): - """Manages cache for different clients and notifies observers on changes.""" - - name = "cache_manager" - - def __init__(self): - super().__init__() - self._cache = {} - self.current_client_id = None - self.current_cache = {} - - @contextmanager - def set_client_id(self, client_id: str): + def __init__(self, max_size=None, expiration_time=60 * 60): """ - Context manager to set the current client_id and associated cache. + Initialize a new InMemoryCache instance. Args: - client_id (str): The client identifier. + max_size (int, optional): Maximum number of items to store in the cache. + expiration_time (int, optional): Time in seconds after which a cached item expires. Default is 1 hour. + """ + self._cache = OrderedDict() + self._lock = threading.RLock() + self.max_size = max_size + self.expiration_time = expiration_time + + def get(self, key): + """ + Retrieve an item from the cache. + + Args: + key: The key of the item to retrieve. + + Returns: + The value associated with the key, or None if the key is not found or the item has expired. + """ + with self._lock: + return self._get_without_lock(key) + + def _get_without_lock(self, key): + """ + Retrieve an item from the cache without acquiring the lock. + """ + if item := self._cache.get(key): + if ( + self.expiration_time is None + or time.time() - item["time"] < self.expiration_time + ): + # Move the key to the end to make it recently used + self._cache.move_to_end(key) + unpickled = pickle.loads(item["value"]) + return unpickled + else: + self.delete(key) + return None + + def set(self, key, value): + """ + Add an item to the cache. + + If the cache is full, the least recently used item is evicted. + + Args: + key: The key of the item. + value: The value to cache. + """ + with self._lock: + if key in self._cache: + # Remove existing key before re-inserting to update order + self.delete(key) + elif self.max_size and len(self._cache) >= self.max_size: + # Remove least recently used item + self._cache.popitem(last=False) + # pickle locally to mimic Redis + pickled = pickle.dumps(value) + self._cache[key] = {"value": pickled, "time": time.time()} + + def upsert(self, key, value): + """ + Inserts or updates a value in the cache. + If the existing value and the new value are both dictionaries, they are merged. + + Args: + key: The key of the item. + value: The value to insert or update. + """ + with self._lock: + existing_value = self._get_without_lock(key) + if ( + existing_value is not None + and isinstance(existing_value, dict) + and isinstance(value, dict) + ): + existing_value.update(value) + value = existing_value + + self.set(key, value) + + def get_or_set(self, key, value): + """ + Retrieve an item from the cache. If the item does not exist, + set it with the provided value. + + Args: + key: The key of the item. + value: The value to cache if the item doesn't exist. + + Returns: + The cached value associated with the key. + """ + with self._lock: + if key in self._cache: + return self.get(key) + self.set(key, value) + return value + + def delete(self, key): + """ + Remove an item from the cache. + + Args: + key: The key of the item to remove. + """ + with self._lock: + self._cache.pop(key, None) + + def clear(self): + """ + Clear all items from the cache. + """ + with self._lock: + self._cache.clear() + + def __contains__(self, key): + """Check if the key is in the cache.""" + return key in self._cache + + def __getitem__(self, key): + """Retrieve an item from the cache using the square bracket notation.""" + return self.get(key) + + def __setitem__(self, key, value): + """Add an item to the cache using the square bracket notation.""" + self.set(key, value) + + def __delitem__(self, key): + """Remove an item from the cache using the square bracket notation.""" + self.delete(key) + + def __len__(self): + """Return the number of items in the cache.""" + return len(self._cache) + + def __repr__(self): + """Return a string representation of the InMemoryCache instance.""" + return f"InMemoryCache(max_size={self.max_size}, expiration_time={self.expiration_time})" + + +class RedisCache(BaseCacheService, Service): + """ + A Redis-based cache implementation. + + This cache supports setting an expiration time for cached items. + + Attributes: + expiration_time (int, optional): Time in seconds after which a cached item expires. Default is 1 hour. + + Example: + + cache = RedisCache(expiration_time=5) + + # setting cache values + cache.set("a", 1) + cache.set("b", 2) + cache["c"] = 3 + + # getting cache values + a = cache.get("a") + b = cache["b"] + """ + + def __init__(self, host="localhost", port=6379, db=0, expiration_time=60 * 60): + """ + Initialize a new RedisCache instance. + + Args: + host (str, optional): Redis host. + port (int, optional): Redis port. + db (int, optional): Redis DB. + expiration_time (int, optional): Time in seconds after which a + ached item expires. Default is 1 hour. """ - previous_client_id = self.current_client_id - self.current_client_id = client_id - self.current_cache = self._cache.setdefault(client_id, {}) try: - yield - finally: - self.current_client_id = previous_client_id - self.current_cache = self._cache.get(self.current_client_id, {}) + import redis + except ImportError as exc: + raise ImportError( + "RedisCache requires the redis-py package." + " Please install Langflow with the deploy extra: pip install langflow[deploy]" + ) from exc + logger.warning( + "RedisCache is an experimental feature and may not work as expected." + " Please report any issues to our GitHub repository." + ) + self._client = redis.StrictRedis(host=host, port=port, db=db) + self.expiration_time = expiration_time - def add(self, name: str, obj: Any, obj_type: str, extension: Optional[str] = None): + # check connection + def is_connected(self): """ - Add an object to the current client's cache. + Check if the Redis client is connected. + """ + import redis + + try: + self._client.ping() + return True + except redis.exceptions.ConnectionError: + return False + + def get(self, key): + """ + Retrieve an item from the cache. Args: - name (str): The cache key. - obj (Any): The object to cache. - obj_type (str): The type of the object. - """ - object_extensions = { - "image": "png", - "pandas": "csv", - } - if obj_type in object_extensions: - _extension = object_extensions[obj_type] - else: - _extension = type(obj).__name__.lower() - self.current_cache[name] = { - "obj": obj, - "type": obj_type, - "extension": extension or _extension, - } - self.notify() - - def add_pandas(self, name: str, obj: Any): - """ - Add a pandas DataFrame or Series to the current client's cache. - - Args: - name (str): The cache key. - obj (Any): The pandas DataFrame or Series object. - """ - if isinstance(obj, (pd.DataFrame, pd.Series)): - self.add(name, obj.to_csv(), "pandas", extension="csv") - else: - raise ValueError("Object is not a pandas DataFrame or Series") - - def add_image(self, name: str, obj: Any, extension: str = "png"): - """ - Add a PIL Image to the current client's cache. - - Args: - name (str): The cache key. - obj (Any): The PIL Image object. - """ - if isinstance(obj, Image.Image): - self.add(name, obj, "image", extension=extension) - else: - raise ValueError("Object is not a PIL Image") - - def get(self, name: str): - """ - Get an object from the current client's cache. - - Args: - name (str): The cache key. + key: The key of the item to retrieve. Returns: - The cached object associated with the given cache key. + The value associated with the key, or None if the key is not found. """ - return self.current_cache[name] + value = self._client.get(key) + return pickle.loads(value) if value else None - def get_last(self): + def set(self, key, value): """ - Get the last added item in the current client's cache. + Add an item to the cache. - Returns: - The last added item in the cache. + Args: + key: The key of the item. + value: The value to cache. """ - return list(self.current_cache.values())[-1] + try: + if pickled := pickle.dumps(value): + result = self._client.setex(key, self.expiration_time, pickled) + if not result: + raise ValueError("RedisCache could not set the value.") + except TypeError as exc: + raise TypeError( + "RedisCache only accepts values that can be pickled. " + ) from exc + def upsert(self, key, value): + """ + Inserts or updates a value in the cache. + If the existing value and the new value are both dictionaries, they are merged. -cache_manager = CacheManager() + Args: + key: The key of the item. + value: The value to insert or update. + """ + existing_value = self.get(key) + if ( + existing_value is not None + and isinstance(existing_value, dict) + and isinstance(value, dict) + ): + existing_value.update(value) + value = existing_value + + self.set(key, value) + + def delete(self, key): + """ + Remove an item from the cache. + + Args: + key: The key of the item to remove. + """ + self._client.delete(key) + + def clear(self): + """ + Clear all items from the cache. + """ + self._client.flushdb() + + def __contains__(self, key): + """Check if the key is in the cache.""" + return False if key is None else self._client.exists(key) + + def __getitem__(self, key): + """Retrieve an item from the cache using the square bracket notation.""" + return self.get(key) + + def __setitem__(self, key, value): + """Add an item to the cache using the square bracket notation.""" + self.set(key, value) + + def __delitem__(self, key): + """Remove an item from the cache using the square bracket notation.""" + self.delete(key) + + def __repr__(self): + """Return a string representation of the RedisCache instance.""" + return f"RedisCache(expiration_time={self.expiration_time})" diff --git a/src/backend/langflow/services/cache/utils.py b/src/backend/langflow/services/cache/utils.py index 4342914cd..75380b3d5 100644 --- a/src/backend/langflow/services/cache/utils.py +++ b/src/backend/langflow/services/cache/utils.py @@ -6,11 +6,14 @@ import os import tempfile from collections import OrderedDict from pathlib import Path -from typing import Any, Dict +from typing import TYPE_CHECKING, Any, Dict from appdirs import user_cache_dir from fastapi import UploadFile from langflow.services.database.models.base import orjson_dumps +if TYPE_CHECKING: + pass + CACHE: Dict[str, Any] = {} CACHE_DIR = user_cache_dir("langflow", "langflow") diff --git a/src/backend/langflow/services/chat/cache.py b/src/backend/langflow/services/chat/cache.py new file mode 100644 index 000000000..f6247b540 --- /dev/null +++ b/src/backend/langflow/services/chat/cache.py @@ -0,0 +1,153 @@ +from contextlib import contextmanager +from typing import Any, Awaitable, Callable, List, Optional +from langflow.services.base import Service + +import pandas as pd +from PIL import Image + + +class Subject: + """Base class for implementing the observer pattern.""" + + def __init__(self): + self.observers: List[Callable[[], None]] = [] + + def attach(self, observer: Callable[[], None]): + """Attach an observer to the subject.""" + self.observers.append(observer) + + def detach(self, observer: Callable[[], None]): + """Detach an observer from the subject.""" + self.observers.remove(observer) + + def notify(self): + """Notify all observers about an event.""" + for observer in self.observers: + if observer is None: + continue + observer() + + +class AsyncSubject: + """Base class for implementing the async observer pattern.""" + + def __init__(self): + self.observers: List[Callable[[], Awaitable]] = [] + + def attach(self, observer: Callable[[], Awaitable]): + """Attach an observer to the subject.""" + self.observers.append(observer) + + def detach(self, observer: Callable[[], Awaitable]): + """Detach an observer from the subject.""" + self.observers.remove(observer) + + async def notify(self): + """Notify all observers about an event.""" + for observer in self.observers: + if observer is None: + continue + await observer() + + +class CacheService(Subject, Service): + """Manages cache for different clients and notifies observers on changes.""" + + name = "cache_service" + + def __init__(self): + super().__init__() + self._cache = {} + self.current_client_id = None + self.current_cache = {} + + @contextmanager + def set_client_id(self, client_id: str): + """ + Context manager to set the current client_id and associated cache. + + Args: + client_id (str): The client identifier. + """ + previous_client_id = self.current_client_id + self.current_client_id = client_id + self.current_cache = self._cache.setdefault(client_id, {}) + try: + yield + finally: + self.current_client_id = previous_client_id + self.current_cache = self._cache.get(self.current_client_id, {}) + + def add(self, name: str, obj: Any, obj_type: str, extension: Optional[str] = None): + """ + Add an object to the current client's cache. + + Args: + name (str): The cache key. + obj (Any): The object to cache. + obj_type (str): The type of the object. + """ + object_extensions = { + "image": "png", + "pandas": "csv", + } + if obj_type in object_extensions: + _extension = object_extensions[obj_type] + else: + _extension = type(obj).__name__.lower() + self.current_cache[name] = { + "obj": obj, + "type": obj_type, + "extension": extension or _extension, + } + self.notify() + + def add_pandas(self, name: str, obj: Any): + """ + Add a pandas DataFrame or Series to the current client's cache. + + Args: + name (str): The cache key. + obj (Any): The pandas DataFrame or Series object. + """ + if isinstance(obj, (pd.DataFrame, pd.Series)): + self.add(name, obj.to_csv(), "pandas", extension="csv") + else: + raise ValueError("Object is not a pandas DataFrame or Series") + + def add_image(self, name: str, obj: Any, extension: str = "png"): + """ + Add a PIL Image to the current client's cache. + + Args: + name (str): The cache key. + obj (Any): The PIL Image object. + """ + if isinstance(obj, Image.Image): + self.add(name, obj, "image", extension=extension) + else: + raise ValueError("Object is not a PIL Image") + + def get(self, name: str): + """ + Get an object from the current client's cache. + + Args: + name (str): The cache key. + + Returns: + The cached object associated with the given cache key. + """ + return self.current_cache[name] + + def get_last(self): + """ + Get the last added item in the current client's cache. + + Returns: + The last added item in the cache. + """ + return list(self.current_cache.values())[-1] + + +cache_service = CacheService() diff --git a/src/backend/langflow/services/chat/factory.py b/src/backend/langflow/services/chat/factory.py index ca844893a..54af7fcca 100644 --- a/src/backend/langflow/services/chat/factory.py +++ b/src/backend/langflow/services/chat/factory.py @@ -1,11 +1,11 @@ -from langflow.services.chat.manager import ChatManager +from langflow.services.chat.manager import ChatService from langflow.services.factory import ServiceFactory -class ChatManagerFactory(ServiceFactory): +class ChatServiceFactory(ServiceFactory): def __init__(self): - super().__init__(ChatManager) + super().__init__(ChatService) def create(self): - # Here you would have logic to create and configure a ChatManager - return ChatManager() + # Here you would have logic to create and configure a ChatService + return ChatService() diff --git a/src/backend/langflow/services/chat/manager.py b/src/backend/langflow/services/chat/manager.py index 19775bede..3fe937ce8 100644 --- a/src/backend/langflow/services/chat/manager.py +++ b/src/backend/langflow/services/chat/manager.py @@ -2,19 +2,17 @@ from collections import defaultdict import uuid from fastapi import WebSocket, status from langflow.api.v1.schemas import ChatMessage, ChatResponse, FileResponse -from langflow.services.base import Service -from langflow.services import service_manager -from langflow.services.cache.manager import Subject -from langflow.services.chat.utils import process_graph from langflow.interface.utils import pil_to_base64 -from langflow.services.schema import ServiceType +from langflow.services.base import Service +from langflow.services.chat.cache import Subject +from langflow.services.chat.utils import process_graph from loguru import logger - +from .cache import cache_service import asyncio from typing import Any, Dict, List -from langflow.services.cache.flow import InMemoryCache +from langflow.services import service_manager, ServiceType import orjson @@ -45,20 +43,20 @@ class ChatHistory(Subject): self.history[client_id] = [] -class ChatManager(Service): - name = "chat_manager" +class ChatService(Service): + name = "chat_service" def __init__(self): self.active_connections: Dict[str, WebSocket] = {} self.connection_ids: Dict[str, str] = {} self.chat_history = ChatHistory() - self.cache_manager = service_manager.get(ServiceType.CACHE_MANAGER) - self.cache_manager.attach(self.update) - self.in_memory_cache = InMemoryCache() + self.chat_cache = cache_service + self.chat_cache.attach(self.update) + self.cache_service = service_manager.get(ServiceType.CACHE_SERVICE) def on_chat_history_update(self): """Send the last chat message to the client.""" - client_id = self.cache_manager.current_client_id + client_id = self.chat_cache.current_client_id if client_id in self.active_connections: chat_response = self.chat_history.get_history( client_id, filter_messages=False @@ -79,8 +77,8 @@ class ChatManager(Service): asyncio.run_coroutine_threadsafe(coroutine, loop) def update(self): - if self.cache_manager.current_client_id in self.active_connections: - self.last_cached_object_dict = self.cache_manager.get_last() + if self.chat_cache.current_client_id in self.active_connections: + self.last_cached_object_dict = self.chat_cache.get_last() # Add a new ChatResponse with the data chat_response = FileResponse( message=None, @@ -90,7 +88,7 @@ class ChatManager(Service): ) self.chat_history.add_message( - self.cache_manager.current_client_id, chat_response + self.chat_cache.current_client_id, chat_response ) async def connect(self, client_id: str, websocket: WebSocket): @@ -145,6 +143,7 @@ class ChatManager(Service): websocket=self.active_connections[client_id], session_id=self.connection_ids[client_id], ) + self.set_cache(client_id, langchain_object) except Exception as e: # Log stack trace logger.exception(e) @@ -180,9 +179,15 @@ class ChatManager(Service): """ Set the cache for a client. """ + # client_id is the flow id but that already exists in the cache + # so we need to change it to something else - self.in_memory_cache.set(client_id, langchain_object) - return client_id in self.in_memory_cache + result_dict = { + "result": langchain_object, + "type": type(langchain_object), + } + self.cache_service.upsert(client_id, result_dict) + return client_id in self.cache_service async def handle_websocket(self, client_id: str, websocket: WebSocket): await self.connect(client_id, websocket) @@ -203,10 +208,16 @@ class ChatManager(Service): self.chat_history.history[client_id] = [] continue - with self.cache_manager.set_client_id(client_id): - langchain_object = self.in_memory_cache.get(client_id) - await self.process_message(client_id, payload, langchain_object) + with self.chat_cache.set_client_id(client_id): + if langchain_object := self.cache_service.get(client_id).get( + "result" + ): + await self.process_message(client_id, payload, langchain_object) + else: + raise RuntimeError( + f"Could not find a LangChain object for client_id {client_id}" + ) except Exception as exc: # Handle any exceptions that might occur logger.error(f"Error handling websocket: {exc}") diff --git a/src/backend/langflow/services/database/factory.py b/src/backend/langflow/services/database/factory.py index 25427b7b9..3726f520b 100644 --- a/src/backend/langflow/services/database/factory.py +++ b/src/backend/langflow/services/database/factory.py @@ -1,17 +1,17 @@ from typing import TYPE_CHECKING -from langflow.services.database.manager import DatabaseManager +from langflow.services.database.manager import DatabaseService from langflow.services.factory import ServiceFactory if TYPE_CHECKING: - from langflow.services.settings.manager import SettingsManager + from langflow.services.settings.manager import SettingsService -class DatabaseManagerFactory(ServiceFactory): +class DatabaseServiceFactory(ServiceFactory): def __init__(self): - super().__init__(DatabaseManager) + super().__init__(DatabaseService) - def create(self, settings_manager: "SettingsManager"): - # Here you would have logic to create and configure a DatabaseManager - if not settings_manager.settings.DATABASE_URL: + def create(self, settings_service: "SettingsService"): + # Here you would have logic to create and configure a DatabaseService + if not settings_service.settings.DATABASE_URL: raise ValueError("No database URL provided") - return DatabaseManager(settings_manager.settings.DATABASE_URL) + return DatabaseService(settings_service.settings.DATABASE_URL) diff --git a/src/backend/langflow/services/database/manager.py b/src/backend/langflow/services/database/manager.py index 3c842bf52..ca7f34d10 100644 --- a/src/backend/langflow/services/database/manager.py +++ b/src/backend/langflow/services/database/manager.py @@ -3,7 +3,7 @@ from typing import TYPE_CHECKING from langflow.services.base import Service from langflow.services.database.models.user.crud import get_user_by_username from langflow.services.database.utils import Result, TableResults -from langflow.services.getters import get_settings_manager +from langflow.services.getters import get_settings_service from sqlalchemy import inspect import sqlalchemy as sa from sqlmodel import SQLModel, Session, create_engine @@ -16,8 +16,8 @@ if TYPE_CHECKING: from sqlalchemy.engine import Engine -class DatabaseManager(Service): - name = "database_manager" +class DatabaseService(Service): + name = "database_service" def __init__(self, database_url: str): self.database_url = database_url @@ -30,10 +30,10 @@ class DatabaseManager(Service): def _create_engine(self) -> "Engine": """Create the engine for the database.""" - settings_manager = get_settings_manager() + settings_service = get_settings_service() if ( - settings_manager.settings.DATABASE_URL - and settings_manager.settings.DATABASE_URL.startswith("sqlite") + settings_service.settings.DATABASE_URL + and settings_service.settings.DATABASE_URL.startswith("sqlite") ): connect_args = {"check_same_thread": False} else: @@ -107,12 +107,10 @@ class DatabaseManager(Service): # We will check that all models are in the database # and that the database is up to date with all columns sql_models = [models.Flow, models.User, models.ApiKey] - results = [] - for sql_model in sql_models: - results.append( - TableResults(sql_model.__tablename__, self.check_table(sql_model)) - ) - return results + return [ + TableResults(sql_model.__tablename__, self.check_table(sql_model)) + for sql_model in sql_models + ] def check_table(self, model): results = [] @@ -164,12 +162,12 @@ class DatabaseManager(Service): def teardown(self): logger.debug("Tearing down database") try: - settings_manager = get_settings_manager() + settings_service = get_settings_service() # remove the default superuser if auto_login is enabled # using the SUPERUSER to get the user - if settings_manager.auth_settings.AUTO_LOGIN: + if settings_service.auth_settings.AUTO_LOGIN: logger.debug("Removing default superuser") - username = settings_manager.auth_settings.SUPERUSER + username = settings_service.auth_settings.SUPERUSER with Session(self.engine) as session: user = get_user_by_username(session, username) session.delete(user) diff --git a/src/backend/langflow/services/database/models/api_key/api_key.py b/src/backend/langflow/services/database/models/api_key/api_key.py index 5d5bab0f4..35aa6c7a9 100644 --- a/src/backend/langflow/services/database/models/api_key/api_key.py +++ b/src/backend/langflow/services/database/models/api_key/api_key.py @@ -22,8 +22,11 @@ class ApiKey(ApiKeyBase, table=True): api_key: str = Field(index=True, unique=True) # User relationship + # Delete API keys when user is deleted user_id: UUID = Field(index=True, foreign_key="user.id") - user: "User" = Relationship(back_populates="api_keys") + user: "User" = Relationship( + back_populates="api_keys", + ) class ApiKeyCreate(ApiKeyBase): diff --git a/src/backend/langflow/services/database/models/api_key/crud.py b/src/backend/langflow/services/database/models/api_key/crud.py index abc84f108..c1c6f786e 100644 --- a/src/backend/langflow/services/database/models/api_key/crud.py +++ b/src/backend/langflow/services/database/models/api_key/crud.py @@ -63,9 +63,15 @@ def check_key(session: Session, api_key: str) -> Optional[ApiKey]: def update_total_uses(session, api_key: ApiKey): """Update the total uses and last used at.""" - api_key.total_uses += 1 - api_key.last_used_at = datetime.datetime.now(datetime.timezone.utc) - session.add(api_key) - session.commit() - session.refresh(api_key) - return api_key + # This is running in a separate thread to avoid slowing down the request + # but session is not thread safe so we need to create a new session + + with Session(session.get_bind()) as new_session: + new_api_key = new_session.get(ApiKey, api_key.id) + if new_api_key is None: + raise ValueError("API Key not found") + new_api_key.total_uses += 1 + new_api_key.last_used_at = datetime.datetime.now(datetime.timezone.utc) + new_session.add(new_api_key) + new_session.commit() + return new_api_key diff --git a/src/backend/langflow/services/database/models/user/user.py b/src/backend/langflow/services/database/models/user/user.py index 8bd42af00..5f2f3e1c4 100644 --- a/src/backend/langflow/services/database/models/user/user.py +++ b/src/backend/langflow/services/database/models/user/user.py @@ -21,7 +21,10 @@ class User(SQLModelSerializable, table=True): create_at: datetime = Field(default_factory=datetime.utcnow) updated_at: datetime = Field(default_factory=datetime.utcnow) last_login_at: Optional[datetime] = Field() - api_keys: list["ApiKey"] = Relationship(back_populates="user") + api_keys: list["ApiKey"] = Relationship( + back_populates="user", + sa_relationship_kwargs={"cascade": "delete"}, + ) flows: list["Flow"] = Relationship(back_populates="user") @@ -42,6 +45,7 @@ class UserRead(SQLModel): class UserUpdate(SQLModel): + username: Optional[str] = Field() profile_image: Optional[str] = Field() password: Optional[str] = Field() is_active: Optional[bool] = Field() diff --git a/src/backend/langflow/services/database/utils.py b/src/backend/langflow/services/database/utils.py index fd0a8856a..ce4990fa1 100644 --- a/src/backend/langflow/services/database/utils.py +++ b/src/backend/langflow/services/database/utils.py @@ -6,21 +6,21 @@ from alembic.util.exc import CommandError from sqlmodel import Session if TYPE_CHECKING: - from langflow.services.database.manager import DatabaseManager + from langflow.services.database.manager import DatabaseService def initialize_database(): logger.debug("Initializing database") from langflow.services import service_manager, ServiceType - database_manager = service_manager.get(ServiceType.DATABASE_MANAGER) + database_service = service_manager.get(ServiceType.DATABASE_SERVICE) try: - database_manager.check_schema_health() + database_service.check_schema_health() except Exception as exc: logger.error(f"Error checking schema health: {exc}") raise RuntimeError("Error checking schema health") from exc try: - database_manager.run_migrations() + database_service.run_migrations() except CommandError as exc: if "Can't locate revision identified by" not in str(exc): raise exc @@ -30,23 +30,23 @@ def initialize_database(): logger.warning( "Wrong revision in DB, deleting alembic_version table and running migrations again" ) - with session_getter(database_manager) as session: + with session_getter(database_service) as session: session.execute("DROP TABLE alembic_version") - database_manager.run_migrations() + database_service.run_migrations() except Exception as exc: # if the exception involves tables already existing # we can ignore it if "already exists" not in str(exc): logger.error(f"Error running migrations: {exc}") raise RuntimeError("Error running migrations") from exc - database_manager.create_db_and_tables() + database_service.create_db_and_tables() logger.debug("Database initialized") @contextmanager -def session_getter(db_manager: "DatabaseManager"): +def session_getter(db_service: "DatabaseService"): try: - session = Session(db_manager.engine) + session = Session(db_service.engine) yield session except Exception as e: print("Session rollback because of exception:", e) diff --git a/src/backend/langflow/services/getters.py b/src/backend/langflow/services/getters.py index 8b32aef02..e88b998b5 100644 --- a/src/backend/langflow/services/getters.py +++ b/src/backend/langflow/services/getters.py @@ -3,24 +3,46 @@ from typing import TYPE_CHECKING, Generator if TYPE_CHECKING: - from langflow.services.database.manager import DatabaseManager - from langflow.services.settings.manager import SettingsManager - from langflow.services.chat.manager import ChatManager + from langflow.services.database.manager import DatabaseService + from langflow.services.settings.manager import SettingsService + from langflow.services.cache.manager import BaseCacheService + from langflow.services.session.manager import SessionService + from langflow.services.task.manager import TaskService + from langflow.services.chat.manager import ChatService from sqlmodel import Session -def get_settings_manager() -> "SettingsManager": - return service_manager.get(ServiceType.SETTINGS_MANAGER) +def get_settings_service() -> "SettingsService": + try: + return service_manager.get(ServiceType.SETTINGS_SERVICE) + except ValueError: + # initialize settings service + from langflow.services.manager import initialize_settings_service + + initialize_settings_service() + return service_manager.get(ServiceType.SETTINGS_SERVICE) -def get_db_manager() -> "DatabaseManager": - return service_manager.get(ServiceType.DATABASE_MANAGER) +def get_db_service() -> "DatabaseService": + return service_manager.get(ServiceType.DATABASE_SERVICE) def get_session() -> Generator["Session", None, None]: - db_manager = service_manager.get(ServiceType.DATABASE_MANAGER) - yield from db_manager.get_session() + db_service = service_manager.get(ServiceType.DATABASE_SERVICE) + yield from db_service.get_session() -def get_chat_manager() -> "ChatManager": - return service_manager.get(ServiceType.CHAT_MANAGER) +def get_cache_service() -> "BaseCacheService": + return service_manager.get(ServiceType.CACHE_SERVICE) + + +def get_session_service() -> "SessionService": + return service_manager.get(ServiceType.SESSION_SERVICE) + + +def get_task_service() -> "TaskService": + return service_manager.get(ServiceType.TASK_SERVICE) + + +def get_chat_service() -> "ChatService": + return service_manager.get(ServiceType.CHAT_SERVICE) diff --git a/src/backend/langflow/services/manager.py b/src/backend/langflow/services/manager.py index 9398a10f4..e74146a20 100644 --- a/src/backend/langflow/services/manager.py +++ b/src/backend/langflow/services/manager.py @@ -1,9 +1,10 @@ from langflow.services.schema import ServiceType -from typing import TYPE_CHECKING, List, Optional +from typing import TYPE_CHECKING, Dict, List, Optional from loguru import logger if TYPE_CHECKING: from langflow.services.factory import ServiceFactory + from langflow.services.base import Service class ServiceManager: @@ -12,7 +13,7 @@ class ServiceManager: """ def __init__(self): - self.services = {} + self.services: Dict[str, "Service"] = {} self.factories = {} self.dependencies = {} @@ -86,6 +87,8 @@ class ServiceManager: Teardown all the services. """ for service in self.services.values(): + if service is None: + continue logger.debug(f"Teardown service {service.name}") service.teardown() self.services = {} @@ -94,3 +97,107 @@ class ServiceManager: service_manager = ServiceManager() + + +def initialize_services(): + """ + Initialize all the services needed. + """ + from langflow.services.database import factory as database_factory + from langflow.services.cache import factory as cache_factory + from langflow.services.chat import factory as chat_factory + from langflow.services.settings import factory as settings_factory + from langflow.services.session import factory as session_service_factory + from langflow.services.auth import factory as auth_factory + from langflow.services.task import factory as task_factory + + service_manager.register_factory(settings_factory.SettingsServiceFactory()) + service_manager.register_factory( + database_factory.DatabaseServiceFactory(), + dependencies=[ServiceType.SETTINGS_SERVICE], + ) + service_manager.register_factory( + cache_factory.CacheServiceFactory(), dependencies=[ServiceType.SETTINGS_SERVICE] + ) + + service_manager.register_factory( + auth_factory.AuthServiceFactory(), dependencies=[ServiceType.SETTINGS_SERVICE] + ) + + service_manager.register_factory(chat_factory.ChatServiceFactory()) + service_manager.register_factory( + session_service_factory.SessionServiceFactory(), + dependencies=[ServiceType.CACHE_SERVICE], + ) + service_manager.register_factory( + task_factory.TaskServiceFactory(), + ) + + # Test cache connection + service_manager.get(ServiceType.CACHE_SERVICE) + # Test database connection + service_manager.get(ServiceType.DATABASE_SERVICE) + + # Test cache connection + service_manager.get(ServiceType.CACHE_SERVICE) + # Test database connection + service_manager.get(ServiceType.DATABASE_SERVICE) + + +def reinitialize_services(): + """ + Reinitialize all the services needed. + """ + + service_manager.update(ServiceType.SETTINGS_SERVICE) + service_manager.update(ServiceType.DATABASE_SERVICE) + service_manager.update(ServiceType.CACHE_SERVICE) + service_manager.update(ServiceType.CHAT_SERVICE) + service_manager.update(ServiceType.SESSION_SERVICE) + service_manager.update(ServiceType.AUTH_SERVICE) + service_manager.update(ServiceType.TASK_SERVICE) + + # Test cache connection + service_manager.get(ServiceType.CACHE_SERVICE) + # Test database connection + service_manager.get(ServiceType.DATABASE_SERVICE) + + # Test cache connection + service_manager.get(ServiceType.CACHE_SERVICE) + # Test database connection + service_manager.get(ServiceType.DATABASE_SERVICE) + + +def initialize_settings_service(): + """ + Initialize the settings manager. + """ + from langflow.services.settings import factory as settings_factory + + service_manager.register_factory(settings_factory.SettingsServiceFactory()) + + +def initialize_session_service(): + """ + Initialize the session manager. + """ + from langflow.services.session import factory as session_service_factory # type: ignore + from langflow.services.cache import factory as cache_factory + + initialize_settings_service() + + service_manager.register_factory( + cache_factory.CacheServiceFactory(), dependencies=[ServiceType.SETTINGS_SERVICE] + ) + + service_manager.register_factory( + session_service_factory.SessionServiceFactory(), + dependencies=[ServiceType.CACHE_SERVICE], + ) + + +def teardown_services(): + """ + Teardown all the services. + """ + service_manager.teardown() diff --git a/src/backend/langflow/services/plugins/langfuse.py b/src/backend/langflow/services/plugins/langfuse.py index 333459080..29d59808b 100644 --- a/src/backend/langflow/services/plugins/langfuse.py +++ b/src/backend/langflow/services/plugins/langfuse.py @@ -1,4 +1,4 @@ -from langflow.services.getters import get_settings_manager +from langflow.services.getters import get_settings_service from langflow.utils.logger import logger ### Temporary implementation @@ -20,7 +20,7 @@ class LangfuseInstance: logger.debug("Creating Langfuse instance") from langfuse import Langfuse # type: ignore - settings_manager = get_settings_manager() + settings_manager = get_settings_service() if ( settings_manager.settings.LANGFUSE_PUBLIC_KEY diff --git a/src/backend/langflow/services/schema.py b/src/backend/langflow/services/schema.py index 6291a0d0b..8b3b41fcb 100644 --- a/src/backend/langflow/services/schema.py +++ b/src/backend/langflow/services/schema.py @@ -7,8 +7,10 @@ class ServiceType(str, Enum): registered with the service manager. """ - AUTH_MANAGER = "auth_manager" - CACHE_MANAGER = "cache_manager" - SETTINGS_MANAGER = "settings_manager" - DATABASE_MANAGER = "database_manager" - CHAT_MANAGER = "chat_manager" + AUTH_SERVICE = "auth_service" + CACHE_SERVICE = "cache_service" + SETTINGS_SERVICE = "settings_service" + DATABASE_SERVICE = "database_service" + CHAT_SERVICE = "chat_service" + SESSION_SERVICE = "session_service" + TASK_SERVICE = "task_service" diff --git a/src/backend/langflow/services/session/__init__.py b/src/backend/langflow/services/session/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/src/backend/langflow/services/session/factory.py b/src/backend/langflow/services/session/factory.py new file mode 100644 index 000000000..9abe025a8 --- /dev/null +++ b/src/backend/langflow/services/session/factory.py @@ -0,0 +1,14 @@ +from typing import TYPE_CHECKING +from langflow.services.session.manager import SessionService +from langflow.services.factory import ServiceFactory + +if TYPE_CHECKING: + from langflow.services.cache.manager import BaseCacheService + + +class SessionServiceFactory(ServiceFactory): + def __init__(self): + super().__init__(SessionService) + + def create(self, cache_service: "BaseCacheService"): + return SessionService(cache_service) diff --git a/src/backend/langflow/services/session/manager.py b/src/backend/langflow/services/session/manager.py new file mode 100644 index 000000000..6bdebf6b3 --- /dev/null +++ b/src/backend/langflow/services/session/manager.py @@ -0,0 +1,47 @@ +from typing import TYPE_CHECKING +from langflow.interface.run import build_sorted_vertices +from langflow.services.base import Service +from langflow.services.cache.utils import compute_dict_hash +from langflow.services.session.utils import session_id_generator + +if TYPE_CHECKING: + from langflow.services.cache.base import BaseCacheService + + +class SessionService(Service): + name = "session_service" + + def __init__(self, cache_service): + self.cache_service: "BaseCacheService" = cache_service + + def load_session(self, key, data_graph): + # Check if the data is cached + if key in self.cache_service: + return self.cache_service.get(key) + + if key is None: + key = self.generate_key(session_id=None, data_graph=data_graph) + + # If not cached, build the graph and cache it + graph, artifacts = build_sorted_vertices(data_graph) + + self.cache_service.set(key, (graph, artifacts)) + + return graph, artifacts + + def build_key(self, session_id, data_graph): + json_hash = compute_dict_hash(data_graph) + return f"{session_id}{':' if session_id else ''}{json_hash}" + + def generate_key(self, session_id, data_graph): + # Hash the JSON and combine it with the session_id to create a unique key + if session_id is None: + # generate a 5 char session_id to concatenate with the json_hash + session_id = session_id_generator() + return self.build_key(session_id, data_graph=data_graph) + + def update_session(self, session_id, value): + self.cache_service.set(session_id, value) + + def clear_session(self, session_id): + self.cache_service.delete(session_id) diff --git a/src/backend/langflow/services/session/utils.py b/src/backend/langflow/services/session/utils.py new file mode 100644 index 000000000..374d85540 --- /dev/null +++ b/src/backend/langflow/services/session/utils.py @@ -0,0 +1,8 @@ +import random +import string + + +def session_id_generator(size=6): + return "".join( + random.SystemRandom().choices(string.ascii_uppercase + string.digits, k=size) + ) diff --git a/src/backend/langflow/services/settings/auth.py b/src/backend/langflow/services/settings/auth.py index b6d288183..4a3eee100 100644 --- a/src/backend/langflow/services/settings/auth.py +++ b/src/backend/langflow/services/settings/auth.py @@ -35,6 +35,7 @@ class AuthSettings(BaseSettings): # If AUTO_LOGIN = True # > The application does not request login and logs in automatically as a super user. AUTO_LOGIN: bool = False + NEW_USER_IS_ACTIVE: bool = False SUPERUSER: str = DEFAULT_SUPERUSER SUPERUSER_PASSWORD: str = DEFAULT_SUPERUSER_PASSWORD diff --git a/src/backend/langflow/services/settings/base.py b/src/backend/langflow/services/settings/base.py index 86cbf64e5..14e3f9928 100644 --- a/src/backend/langflow/services/settings/base.py +++ b/src/backend/langflow/services/settings/base.py @@ -37,9 +37,16 @@ class Settings(BaseSettings): DEV: bool = False DATABASE_URL: Optional[str] = None - CACHE: Optional[str] = None + CACHE_TYPE: str = "memory" REMOVE_API_KEYS: bool = False COMPONENTS_PATH: List[str] = [] + LANGCHAIN_CACHE: str = "InMemoryCache" + + # Redis + REDIS_HOST: str = "localhost" + REDIS_PORT: int = 6379 + REDIS_DB: int = 0 + REDIS_CACHE_EXPIRE: int = 3600 LANGFUSE_SECRET_KEY: Optional[str] = None LANGFUSE_PUBLIC_KEY: Optional[str] = None diff --git a/src/backend/langflow/services/settings/factory.py b/src/backend/langflow/services/settings/factory.py index ab22e22b8..9202ae8c3 100644 --- a/src/backend/langflow/services/settings/factory.py +++ b/src/backend/langflow/services/settings/factory.py @@ -1,15 +1,15 @@ from pathlib import Path -from langflow.services.settings.manager import SettingsManager +from langflow.services.settings.manager import SettingsService from langflow.services.factory import ServiceFactory -class SettingsManagerFactory(ServiceFactory): +class SettingsServiceFactory(ServiceFactory): def __init__(self): - super().__init__(SettingsManager) + super().__init__(SettingsService) def create(self): - # Here you would have logic to create and configure a SettingsManager + # Here you would have logic to create and configure a SettingsService langflow_dir = Path(__file__).parent.parent.parent - return SettingsManager.load_settings_from_yaml( + return SettingsService.load_settings_from_yaml( str(langflow_dir / "config.yaml") ) diff --git a/src/backend/langflow/services/settings/manager.py b/src/backend/langflow/services/settings/manager.py index 2d687d784..cdededcea 100644 --- a/src/backend/langflow/services/settings/manager.py +++ b/src/backend/langflow/services/settings/manager.py @@ -6,8 +6,8 @@ import os import yaml -class SettingsManager(Service): - name = "settings_manager" +class SettingsService(Service): + name = "settings_service" def __init__(self, settings: Settings, auth_settings: AuthSettings): super().__init__() @@ -15,7 +15,7 @@ class SettingsManager(Service): self.auth_settings = auth_settings @classmethod - def load_settings_from_yaml(cls, file_path: str) -> "SettingsManager": + def load_settings_from_yaml(cls, file_path: str) -> "SettingsService": # Check if a string is a valid path or a file name if "/" not in file_path: # Get current path diff --git a/src/backend/langflow/services/task/__init__.py b/src/backend/langflow/services/task/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/src/backend/langflow/services/task/backends/__init__.py b/src/backend/langflow/services/task/backends/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/src/backend/langflow/services/task/backends/anyio.py b/src/backend/langflow/services/task/backends/anyio.py new file mode 100644 index 000000000..ca91eca19 --- /dev/null +++ b/src/backend/langflow/services/task/backends/anyio.py @@ -0,0 +1,67 @@ +from typing import Any, Callable, Optional, Tuple +import anyio +from langflow.services.task.backends.base import TaskBackend +from loguru import logger + + +class AnyIOTaskResult: + def __init__(self, scope): + self._scope = scope + self._status = "PENDING" + self._result = None + self._exception = None + + @property + def status(self) -> str: + if self._status == "DONE": + return "FAILURE" if self._exception is not None else "SUCCESS" + return self._status + + @property + def result(self) -> Any: + return self._result + + def ready(self) -> bool: + return self._status == "DONE" + + async def run(self, func, *args, **kwargs): + try: + self._result = await func(*args, **kwargs) + except Exception as e: + self._exception = e + finally: + self._status = "DONE" + + +class AnyIOBackend(TaskBackend): + def __init__(self): + self.tasks = {} + + async def launch_task( + self, task_func: Callable[..., Any], *args: Any, **kwargs: Any + ) -> Tuple[Optional[str], Optional[AnyIOTaskResult]]: + """ + Launch a new task in an asynchronous manner. + + Parameters: + task_func: The asynchronous function to run. + *args: Positional arguments to pass to task_func. + **kwargs: Keyword arguments to pass to task_func. + + Returns: + A tuple containing a unique task ID and the task result object. + """ + async with anyio.create_task_group() as tg: + try: + task_result = AnyIOTaskResult(tg) + tg.start_soon(task_result.run, task_func, *args, **kwargs) + task_id = str(id(task_result)) + self.tasks[task_id] = task_result + logger.info(f"Task {task_id} started.") + return task_id, task_result + except Exception as e: + logger.error(f"An error occurred while launching the task: {e}") + return None, None + + def get_task(self, task_id: str) -> Any: + return self.tasks.get(task_id) diff --git a/src/backend/langflow/services/task/backends/base.py b/src/backend/langflow/services/task/backends/base.py new file mode 100644 index 000000000..ccbd9273b --- /dev/null +++ b/src/backend/langflow/services/task/backends/base.py @@ -0,0 +1,12 @@ +from abc import ABC, abstractmethod +from typing import Any, Callable + + +class TaskBackend(ABC): + @abstractmethod + def launch_task(self, task_func: Callable[..., Any], *args: Any, **kwargs: Any): + pass + + @abstractmethod + def get_task(self, task_id: str) -> Any: + pass diff --git a/src/backend/langflow/services/task/backends/celery.py b/src/backend/langflow/services/task/backends/celery.py new file mode 100644 index 000000000..5b0a035ef --- /dev/null +++ b/src/backend/langflow/services/task/backends/celery.py @@ -0,0 +1,23 @@ +from typing import Any, Callable +from celery.result import AsyncResult # type: ignore +from langflow.services.task.backends.base import TaskBackend +from langflow.worker import celery_app + + +class CeleryBackend(TaskBackend): + def __init__(self): + self.celery_app = celery_app + + def launch_task( + self, task_func: Callable[..., Any], *args: Any, **kwargs: Any + ) -> tuple[str, AsyncResult]: + # I need to type the delay method to make it easier + from celery import Task # type: ignore + + if not hasattr(task_func, "delay"): + raise ValueError(f"Task function {task_func} does not have a delay method") + task: Task = task_func.delay(*args, **kwargs) + return task.id, AsyncResult(task.id, app=self.celery_app) + + def get_task(self, task_id: str) -> Any: + return AsyncResult(task_id, app=self.celery_app) diff --git a/src/backend/langflow/services/task/factory.py b/src/backend/langflow/services/task/factory.py new file mode 100644 index 000000000..efb6ac24d --- /dev/null +++ b/src/backend/langflow/services/task/factory.py @@ -0,0 +1,11 @@ +from langflow.services.task.manager import TaskService +from langflow.services.factory import ServiceFactory + + +class TaskServiceFactory(ServiceFactory): + def __init__(self): + super().__init__(TaskService) + + def create(self): + # Here you would have logic to create and configure a TaskService + return TaskService() diff --git a/src/backend/langflow/services/task/manager.py b/src/backend/langflow/services/task/manager.py new file mode 100644 index 000000000..ab74d916e --- /dev/null +++ b/src/backend/langflow/services/task/manager.py @@ -0,0 +1,69 @@ +from typing import Any, Callable, Coroutine, Union +from loguru import logger +from langflow.services.base import Service +from langflow.services.task.backends.anyio import AnyIOBackend +from langflow.services.task.backends.base import TaskBackend +from langflow.services.task.utils import get_celery_worker_status + + +def check_celery_availability(): + from langflow.worker import celery_app + + try: + status = get_celery_worker_status(celery_app) + logger.debug(f"Celery status: {status}") + except Exception as e: + logger.error(f"An error occurred: {e}") + status = {"availability": None} + return status + + +try: + status = check_celery_availability() + + USE_CELERY = status.get("availability") is not None +except ImportError: + USE_CELERY = False + + +class TaskService(Service): + name = "task_service" + + def __init__(self): + self.backend = self.get_backend() + self.use_celery = USE_CELERY + + def get_backend(self) -> TaskBackend: + if USE_CELERY: + from langflow.services.task.backends.celery import CeleryBackend + + logger.debug("Using Celery backend") + return CeleryBackend() + logger.debug("Using AnyIO backend") + return AnyIOBackend() + + # In your TaskService class + async def launch_and_await_task( + self, + task_func: Callable[..., Any], + *args: Any, + **kwargs: Any, + ) -> Any: + if not self.use_celery: + return None, await task_func(*args, **kwargs) + if not hasattr(task_func, "apply"): + raise ValueError(f"Task function {task_func} does not have an apply method") + task = task_func.apply(args=args, kwargs=kwargs) + result = task.get() + return task.id, result + + async def launch_task( + self, task_func: Callable[..., Any], *args: Any, **kwargs: Any + ) -> Any: + logger.debug(f"Launching task {task_func} with args {args} and kwargs {kwargs}") + logger.debug(f"Using backend {self.backend}") + task = self.backend.launch_task(task_func, *args, **kwargs) + return await task if isinstance(task, Coroutine) else task + + def get_task(self, task_id: Union[int, str]) -> Any: + return self.backend.get_task(task_id) diff --git a/src/backend/langflow/services/task/utils.py b/src/backend/langflow/services/task/utils.py new file mode 100644 index 000000000..5dfb03b83 --- /dev/null +++ b/src/backend/langflow/services/task/utils.py @@ -0,0 +1,22 @@ +import contextlib +from typing import TYPE_CHECKING + +if TYPE_CHECKING: + with contextlib.suppress(ImportError): + from celery import Celery # type: ignore + + +def get_celery_worker_status(app: "Celery"): + i = app.control.inspect() + availability = app.control.ping() + stats = i.stats() + registered_tasks = i.registered() + active_tasks = i.active() + scheduled_tasks = i.scheduled() + return { + "availability": availability, + "stats": stats, + "registered_tasks": registered_tasks, + "active_tasks": active_tasks, + "scheduled_tasks": scheduled_tasks, + } diff --git a/src/backend/langflow/services/utils.py b/src/backend/langflow/services/utils.py index 5f8525797..02d9816f5 100644 --- a/src/backend/langflow/services/utils.py +++ b/src/backend/langflow/services/utils.py @@ -6,24 +6,22 @@ from langflow.services.settings.constants import ( DEFAULT_SUPERUSER, DEFAULT_SUPERUSER_PASSWORD, ) -from .getters import get_session, get_settings_manager +from .getters import get_session, get_settings_service from loguru import logger -def setup_superuser(): +def setup_superuser(settings_service, session): """ Setup the superuser. """ # We will use the SUPERUSER and SUPERUSER_PASSWORD # vars on settings_manager.auth_settings to create the superuser # if it does not exist. - settings_manager = get_settings_manager() - if settings_manager.auth_settings.AUTO_LOGIN: + if settings_service.auth_settings.AUTO_LOGIN: logger.debug("AUTO_LOGIN is set to True. Creating default superuser.") - session = next(get_session()) - username = settings_manager.auth_settings.SUPERUSER - password = settings_manager.auth_settings.SUPERUSER_PASSWORD + username = settings_service.auth_settings.SUPERUSER + password = settings_service.auth_settings.SUPERUSER_PASSWORD if username == DEFAULT_SUPERUSER and password == DEFAULT_SUPERUSER_PASSWORD: logger.debug("Default superuser credentials detected.") logger.debug("Creating default superuser.") @@ -50,21 +48,20 @@ def setup_superuser(): "Could not create superuser. Please create a superuser manually." ) from exc # reset superuser credentials - settings_manager.auth_settings.reset_credentials() + settings_service.auth_settings.reset_credentials() logger.debug("Superuser created successfully.") -def teardown_superuser(): +def teardown_superuser(settings_service, session): """ Teardown the superuser. """ # If AUTO_LOGIN is True, we will remove the default superuser # from the database. - settings_manager = get_settings_manager() - if settings_manager.auth_settings.AUTO_LOGIN: + + if settings_service.auth_settings.AUTO_LOGIN: logger.debug("AUTO_LOGIN is set to True. Removing default superuser.") - session = next(get_session()) - username = settings_manager.auth_settings.SUPERUSER + username = settings_service.auth_settings.SUPERUSER from langflow.services.database.models.user.user import User user = session.query(User).filter(User.username == username).first() @@ -80,35 +77,38 @@ def teardown_services(): """ Teardown all the services. """ - teardown_superuser() - service_manager.teardown() + try: + teardown_superuser(get_settings_service(), next(get_session())) + service_manager.teardown() + except Exception as exc: + logger.exception(exc) -def initialize_settings_manager(): +def initialize_settings_service(): """ Initialize the settings manager. """ from langflow.services.settings import factory as settings_factory - service_manager.register_factory(settings_factory.SettingsManagerFactory()) + service_manager.register_factory(settings_factory.SettingsServiceFactory()) -def initialize_session_manager(): +def initialize_session_service(): """ Initialize the session manager. """ - from langflow.services.session import factory as session_manager_factory # type: ignore + from langflow.services.session import factory as session_service_factory # type: ignore from langflow.services.cache import factory as cache_factory - initialize_settings_manager() + initialize_settings_service() service_manager.register_factory( - cache_factory.CacheManagerFactory(), dependencies=[ServiceType.SETTINGS_MANAGER] + cache_factory.CacheServiceFactory(), dependencies=[ServiceType.SETTINGS_SERVICE] ) service_manager.register_factory( - session_manager_factory.SessionManagerFactory(), - dependencies=[ServiceType.CACHE_MANAGER], + session_service_factory.SessionServiceFactory(), + dependencies=[ServiceType.CACHE_SERVICE], ) @@ -121,23 +121,33 @@ def initialize_services(): from langflow.services.chat import factory as chat_factory from langflow.services.settings import factory as settings_factory from langflow.services.auth import factory as auth_factory + from langflow.services.task import factory as task_factory + from langflow.services.session import factory as session_service_factory # type: ignore - service_manager.register_factory(settings_factory.SettingsManagerFactory()) + service_manager.register_factory(settings_factory.SettingsServiceFactory()) service_manager.register_factory( - auth_factory.AuthManagerFactory(), dependencies=[ServiceType.SETTINGS_MANAGER] + auth_factory.AuthServiceFactory(), dependencies=[ServiceType.SETTINGS_SERVICE] ) service_manager.register_factory( - database_factory.DatabaseManagerFactory(), - dependencies=[ServiceType.SETTINGS_MANAGER], + database_factory.DatabaseServiceFactory(), + dependencies=[ServiceType.SETTINGS_SERVICE], ) - service_manager.register_factory(cache_factory.CacheManagerFactory()) - service_manager.register_factory(chat_factory.ChatManagerFactory()) + service_manager.register_factory( + cache_factory.CacheServiceFactory(), dependencies=[ServiceType.SETTINGS_SERVICE] + ) + service_manager.register_factory(chat_factory.ChatServiceFactory()) + service_manager.register_factory(task_factory.TaskServiceFactory()) + + service_manager.register_factory( + session_service_factory.SessionServiceFactory(), + dependencies=[ServiceType.CACHE_SERVICE], + ) # Test cache connection - service_manager.get(ServiceType.CACHE_MANAGER) + service_manager.get(ServiceType.CACHE_SERVICE) # Test database connection - db_manager = service_manager.get(ServiceType.DATABASE_MANAGER) + service_manager.get(ServiceType.DATABASE_SERVICE) # Setup the superuser initialize_database() - if db_manager.ready: - setup_superuser() + session = next(get_session()) + setup_superuser(service_manager.get(ServiceType.SETTINGS_SERVICE), session) diff --git a/src/backend/langflow/utils/constants.py b/src/backend/langflow/utils/constants.py index 43f92f651..0c97b56a2 100644 --- a/src/backend/langflow/utils/constants.py +++ b/src/backend/langflow/utils/constants.py @@ -48,6 +48,8 @@ def python_function(text: str) -> str: return text """ + +PYTHON_BASIC_TYPES = [str, bool, int, float, tuple, list, dict, set] DIRECT_TYPES = [ "str", "bool", diff --git a/src/backend/langflow/worker.py b/src/backend/langflow/worker.py new file mode 100644 index 000000000..2eeba14a5 --- /dev/null +++ b/src/backend/langflow/worker.py @@ -0,0 +1,62 @@ +from langflow.core.celery_app import celery_app +from typing import Any, Dict, Optional +from typing import TYPE_CHECKING + +from celery.exceptions import SoftTimeLimitExceeded # type: ignore +from langflow.processing.process import ( + Result, + generate_result, + process_inputs, +) +from langflow.services.manager import initialize_session_service +from langflow.services.getters import get_session_service + +if TYPE_CHECKING: + from langflow.graph.vertex.base import Vertex + + +@celery_app.task(acks_late=True) +def test_celery(word: str) -> str: + return f"test task return {word}" + + +@celery_app.task(bind=True, soft_time_limit=30, max_retries=3) +def build_vertex(self, vertex: "Vertex") -> "Vertex": + """ + Build a vertex + """ + try: + vertex.task_id = self.request.id + vertex.build() + return vertex + except SoftTimeLimitExceeded as e: + raise self.retry( + exc=SoftTimeLimitExceeded("Task took too long"), countdown=2 + ) from e + + +@celery_app.task(acks_late=True) +def process_graph_cached_task( + data_graph: Dict[str, Any], + inputs: Optional[dict] = None, + clear_cache=False, + session_id=None, +) -> Dict[str, Any]: + initialize_session_service() + session_service = get_session_service() + if clear_cache: + session_service.clear_session(session_id) + if session_id is None: + session_id = session_service.generate_key( + session_id=session_id, data_graph=data_graph + ) + # Load the graph using SessionService + graph, artifacts = session_service.load_session(session_id, data_graph) + built_object = graph.build() + processed_inputs = process_inputs(inputs, artifacts) + result = generate_result(built_object, processed_inputs) + # langchain_object is now updated with the new memory + # we need to update the cache with the updated langchain_object + session_service.update_session(session_id, (graph, artifacts)) + + return Result(result=result, session_id=session_id).dict() diff --git a/src/frontend/Dockerfile b/src/frontend/Dockerfile index 010811e7b..024eab562 100644 --- a/src/frontend/Dockerfile +++ b/src/frontend/Dockerfile @@ -1,10 +1,16 @@ -FROM node:14-alpine as frontend_build -ARG BACKEND +FROM node:20-alpine as frontend_build +ARG BACKEND_URL WORKDIR /app -COPY . /app + +COPY ./package.json ./package-lock.json ./tsconfig.json ./vite.config.ts ./index.html ./tailwind.config.js ./postcss.config.js ./prettier.config.js /app/ RUN npm install +COPY ./src /app/src RUN npm run build FROM nginx COPY --from=frontend_build /app/build/ /usr/share/nginx/html -COPY /nginx.conf /etc/nginx/conf.d/default.conf \ No newline at end of file +COPY /nginx.conf /etc/nginx/conf.d/default.conf +COPY start-nginx.sh /start-nginx.sh +RUN chmod +x /start-nginx.sh +ENV BACKEND_URL=$BACKEND_URL +CMD ["/start-nginx.sh"] \ No newline at end of file diff --git a/src/frontend/nginx.conf b/src/frontend/nginx.conf index df665f5b6..cabf31c7a 100644 --- a/src/frontend/nginx.conf +++ b/src/frontend/nginx.conf @@ -1,18 +1,20 @@ server { - gzip on; - gzip_comp_level 2; - gzip_min_length 1000; - gzip_types text/xml text/css; - gzip_http_version 1.1; - gzip_vary on; - gzip_disable "MSIE [4-6] \."; + gzip on; + gzip_comp_level 2; + gzip_min_length 1000; + gzip_types text/xml text/css; + gzip_http_version 1.1; + gzip_vary on; + gzip_disable "MSIE [4-6] \."; - listen 80; + listen 80; - location / { - root /usr/share/nginx/html; - index index.html index.htm; - try_files $uri $uri/ /index.html =404; - } - + location / { + root /usr/share/nginx/html; + index index.html index.htm; + try_files $uri $uri/ /index.html =404; + } + + + include /etc/nginx/extra-conf.d/*.conf; } diff --git a/src/frontend/package-lock.json b/src/frontend/package-lock.json index 1ff16d6d0..c4a0660cb 100644 --- a/src/frontend/package-lock.json +++ b/src/frontend/package-lock.json @@ -710,51 +710,6 @@ "resolved": "https://registry.npmjs.org/@emotion/weak-memoize/-/weak-memoize-0.3.1.tgz", "integrity": "sha512-EsBwpc7hBUJWAsNPBmJy4hxWx12v6bshQsldrVmjxJoc3isbxhOrF2IcCpaXxfvq03NwkI7sbsOLXbYuqF/8Ww==" }, - 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"format": "npx prettier --write \"**/*.{js,jsx,ts,tsx,json,md}\"", + "format": "npx prettier --write \"./**/*.{js,jsx,ts,tsx,json,md}\"", "type-check": "tsc --noEmit --pretty --project tsconfig.json && vite" }, "eslintConfig": { diff --git a/src/frontend/src/pages/AdminPage/index.tsx b/src/frontend/src/pages/AdminPage/index.tsx index 24baefb5b..f6e17a32a 100644 --- a/src/frontend/src/pages/AdminPage/index.tsx +++ b/src/frontend/src/pages/AdminPage/index.tsx @@ -63,7 +63,7 @@ export default function AdminPage() { function getUsers() { setLoadingUsers(true); - getUsersPage(index, size) + getUsersPage(index - 1, size) .then((users) => { setTotalRowsCount(users["total_count"]); userList.current = users["users"]; diff --git a/src/frontend/start-nginx.sh b/src/frontend/start-nginx.sh new file mode 100644 index 000000000..dd20f5305 --- /dev/null +++ b/src/frontend/start-nginx.sh @@ -0,0 +1,8 @@ +#!/bin/sh + +# Replace the placeholder with the actual value +sed -i "s|__BACKEND_URL__|$BACKEND_URL|g" /etc/nginx/conf.d/default.conf + + +# Start nginx +exec nginx -g 'daemon off;' diff --git a/tests/__init__.py b/tests/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/tests/conftest.py b/tests/conftest.py index 2c8b9016e..c58f35cf5 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -1,14 +1,16 @@ from contextlib import contextmanager import json +from contextlib import suppress from pathlib import Path from typing import AsyncGenerator, TYPE_CHECKING from langflow.graph.graph.base import Graph from langflow.services.auth.utils import get_password_hash -from langflow.services.database.models.flow.flow import Flow +from langflow.services.database.models.flow.flow import Flow, FlowCreate from langflow.services.database.models.user.user import User, UserCreate +import orjson from langflow.services.database.utils import session_getter -from langflow.services.getters import get_db_manager +from langflow.services.getters import get_db_service import pytest from fastapi.testclient import TestClient from httpx import AsyncClient @@ -20,7 +22,7 @@ from typer.testing import CliRunner import tempfile if TYPE_CHECKING: - from langflow.services.database.manager import DatabaseManager + from langflow.services.database.manager import DatabaseService def pytest_configure(): @@ -33,7 +35,12 @@ def pytest_configure(): pytest.OPENAPI_EXAMPLE_PATH = ( Path(__file__).parent.absolute() / "data" / "Openapi.json" ) - + pytest.BASIC_CHAT_WITH_PROMPT_AND_HISTORY = ( + Path(__file__).parent.absolute() / "data" / "BasicChatwithPromptandHistory.json" + ) + pytest.VECTOR_STORE_PATH = ( + Path(__file__).parent.absolute() / "data" / "Vector_store.json" + ) pytest.CODE_WITH_SYNTAX_ERROR = """ def get_text(): retun "Hello World" @@ -49,15 +56,62 @@ async def async_client() -> AsyncGenerator: yield client -# Create client fixture for FastAPI -# @pytest.fixture(scope="module", autouse=True) -# def client(): -# from langflow.main import create_app +@pytest.fixture(name="session") +def session_fixture(): + engine = create_engine( + "sqlite://", connect_args={"check_same_thread": False}, poolclass=StaticPool + ) + SQLModel.metadata.create_all(engine) + with Session(engine) as session: + yield session -# app = create_app() -# with TestClient(app) as client: -# yield client +class Config: + broker_url = "redis://localhost:6379/0" + result_backend = "redis://localhost:6379/0" + + +@pytest.fixture(name="distributed_env") +def setup_env(monkeypatch): + monkeypatch.setenv("LANGFLOW_CACHE_TYPE", "redis") + monkeypatch.setenv("LANGFLOW_REDIS_HOST", "result_backend") + monkeypatch.setenv("LANGFLOW_REDIS_PORT", "6379") + monkeypatch.setenv("LANGFLOW_REDIS_DB", "0") + monkeypatch.setenv("LANGFLOW_REDIS_EXPIRE", "3600") + monkeypatch.setenv("LANGFLOW_REDIS_PASSWORD", "") + monkeypatch.setenv("FLOWER_UNAUTHENTICATED_API", "True") + monkeypatch.setenv("BROKER_URL", "redis://result_backend:6379/0") + monkeypatch.setenv("RESULT_BACKEND", "redis://result_backend:6379/0") + monkeypatch.setenv("C_FORCE_ROOT", "true") + + +@pytest.fixture(name="distributed_client") +def distributed_client_fixture(session: Session, monkeypatch, distributed_env): + # Here we load the .env from ../deploy/.env + from langflow.core import celery_app + + db_dir = tempfile.mkdtemp() + db_path = Path(db_dir) / "test.db" + monkeypatch.setenv("LANGFLOW_DATABASE_URL", f"sqlite:///{db_path}") + monkeypatch.setenv("LANGFLOW_AUTO_LOGIN", "false") + # monkeypatch langflow.services.task.manager.USE_CELERY to True + # monkeypatch.setattr(manager, "USE_CELERY", True) + monkeypatch.setattr( + celery_app, "celery_app", celery_app.make_celery("langflow", Config) + ) + + # def get_session_override(): + # return session + + from langflow.main import create_app + + app = create_app() + + # app.dependency_overrides[get_session] = get_session_override + with TestClient(app) as client: + yield client + app.dependency_overrides.clear() + monkeypatch.undo() def get_graph(_type="basic"): @@ -105,14 +159,16 @@ def json_flow(): return f.read() -@pytest.fixture(name="session") -def session_fixture(): - engine = create_engine( - "sqlite://", connect_args={"check_same_thread": False}, poolclass=StaticPool - ) - SQLModel.metadata.create_all(engine) - with Session(engine) as session: - yield session +@pytest.fixture +def json_flow_with_prompt_and_history(): + with open(pytest.BASIC_CHAT_WITH_PROMPT_AND_HISTORY, "r") as f: + return f.read() + + +@pytest.fixture +def json_vector_store(): + with open(pytest.VECTOR_STORE_PATH, "r") as f: + return f.read() @pytest.fixture(name="client", autouse=True) @@ -121,10 +177,7 @@ def client_fixture(session: Session, monkeypatch): db_dir = tempfile.mkdtemp() db_path = Path(db_dir) / "test.db" monkeypatch.setenv("LANGFLOW_DATABASE_URL", f"sqlite:///{db_path}") - # monkeypatch.setenv("LANGFLOW_AUTO_LOGIN", 1) - - def get_session_override(): - return session + monkeypatch.setenv("LANGFLOW_AUTO_LOGIN", "false") from langflow.main import create_app @@ -136,28 +189,16 @@ def client_fixture(session: Session, monkeypatch): # app.dependency_overrides.clear() monkeypatch.undo() # clear the temp db - db_path.unlink() - - -# @contextmanager -# def session_getter(): -# try: -# session = Session(engine) -# yield session -# except Exception as e: -# print("Session rollback because of exception:", e) -# session.rollback() -# raise -# finally: -# session.close() + with suppress(FileNotFoundError): + db_path.unlink() # create a fixture for session_getter above @pytest.fixture(name="session_getter") def session_getter_fixture(client): @contextmanager - def blank_session_getter(db_manager: "DatabaseManager"): - with Session(db_manager.engine) as session: + def blank_session_getter(db_service: "DatabaseService"): + with Session(db_service.engine) as session: yield session yield blank_session_getter @@ -181,7 +222,7 @@ def test_user(client): @pytest.fixture(scope="function") def active_user(client): - db_manager = get_db_manager() + db_manager = get_db_service() with session_getter(db_manager) as session: user = User( username="activeuser", @@ -189,6 +230,13 @@ def active_user(client): is_active=True, is_superuser=False, ) + # check if user exists + if ( + active_user := session.query(User) + .filter(User.username == user.username) + .first() + ): + return active_user session.add(user) session.commit() session.refresh(user) @@ -214,9 +262,35 @@ def flow(client, json_flow: str, active_user): name="test_flow", data=loaded_json.get("data"), user_id=active_user.id ) flow = Flow(**flow_data.dict()) - with session_getter(get_db_manager()) as session: + with session_getter(get_db_service()) as session: session.add(flow) session.commit() session.refresh(flow) return flow + + +@pytest.fixture +def added_flow(client, json_flow_with_prompt_and_history, logged_in_headers): + flow = orjson.loads(json_flow_with_prompt_and_history) + data = flow["data"] + flow = FlowCreate(name="Basic Chat", description="description", data=data) + response = client.post("api/v1/flows/", json=flow.dict(), headers=logged_in_headers) + assert response.status_code == 201 + assert response.json()["name"] == flow.name + assert response.json()["data"] == flow.data + return response.json() + + +@pytest.fixture +def added_vector_store(client, json_vector_store, logged_in_headers): + vector_store = orjson.loads(json_vector_store) + data = vector_store["data"] + vector_store = FlowCreate(name="Vector Store", description="description", data=data) + response = client.post( + "api/v1/flows/", json=vector_store.dict(), headers=logged_in_headers + ) + assert response.status_code == 201 + assert response.json()["name"] == vector_store.name + assert response.json()["data"] == vector_store.data + return response.json() diff --git a/tests/data/BasicChatwithPromptandHistory.json b/tests/data/BasicChatwithPromptandHistory.json new file mode 100644 index 000000000..658ac0479 --- /dev/null +++ b/tests/data/BasicChatwithPromptandHistory.json @@ -0,0 +1 @@ +{"description":"A simple chat with a custom prompt template and conversational memory buffer","name":"Basic Chat with Prompt and History (2)","data":{"nodes":[{"width":384,"height":621,"id":"ChatOpenAI-vy7fV","type":"genericNode","position":{"x":170.87326389541306,"y":465.8628482073749},"data":{"type":"ChatOpenAI","node":{"template":{"callbacks":{"required":false,"placeholder":"","show":false,"multiline":false,"password":false,"name":"callbacks","advanced":false,"dynamic":false,"info":"","type":"langchain.callbacks.base.BaseCallbackHandler","list":true},"cache":{"required":false,"placeholder":"","show":false,"multiline":false,"password":false,"name":"cache","advanced":false,"dynamic":false,"info":"","type":"bool","list":false},"client":{"required":false,"placeholder":"","show":false,"multiline":false,"password":false,"name":"client","advanced":false,"dynamic":false,"info":"","type":"Any","list":false},"max_retries":{"required":false,"placeholder":"","show":false,"multiline":false,"value":6,"password":false,"name":"max_retries","advanced":false,"dynamic":false,"info":"","type":"int","list":false},"max_tokens":{"required":false,"placeholder":"","show":true,"multiline":false,"password":true,"name":"max_tokens","advanced":false,"dynamic":false,"info":"","type":"int","list":false,"value":""},"metadata":{"required":false,"placeholder":"","show":false,"multiline":false,"password":false,"name":"metadata","advanced":false,"dynamic":false,"info":"","type":"code","list":false},"model_kwargs":{"required":false,"placeholder":"","show":true,"multiline":false,"password":false,"name":"model_kwargs","advanced":true,"dynamic":false,"info":"","type":"code","list":false},"model_name":{"required":false,"placeholder":"","show":true,"multiline":false,"value":"gpt-3.5-turbo","password":false,"options":["gpt-3.5-turbo-0613","gpt-3.5-turbo","gpt-3.5-turbo-16k-0613","gpt-3.5-turbo-16k","gpt-4-0613","gpt-4-32k-0613","gpt-4","gpt-4-32k"],"name":"model_name","advanced":false,"dynamic":false,"info":"","type":"str","list":true},"n":{"required":false,"placeholder":"","show":false,"multiline":false,"value":1,"password":false,"name":"n","advanced":false,"dynamic":false,"info":"","type":"int","list":false},"openai_api_base":{"required":false,"placeholder":"","show":true,"multiline":false,"password":false,"name":"openai_api_base","display_name":"OpenAI API Base","advanced":false,"dynamic":false,"info":"\nThe base URL of the OpenAI API. 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}, + "tiktoken_model_name": { + "required": false, + "placeholder": "", + "show": false, + "multiline": false, + "password": false, + "name": "tiktoken_model_name", + "advanced": false, + "dynamic": false, + "info": "", + "type": "str", + "list": false + }, + "verbose": { + "required": false, + "placeholder": "", + "show": false, + "multiline": false, + "value": false, + "password": false, + "name": "verbose", + "advanced": false, + "dynamic": false, + "info": "", + "type": "bool", + "list": false + }, + "_type": "ChatOpenAI" + }, + "description": "`OpenAI` Chat large language models API.", + "base_classes": [ + "ChatOpenAI", + "BaseLanguageModel", + "BaseChatModel", + "BaseLLM" + ], + "display_name": "ChatOpenAI", + "custom_fields": {}, + "output_types": [], + "documentation": "https://python.langchain.com/docs/modules/model_io/models/chat/integrations/openai" + }, + "id": "ChatOpenAI-U4mZ2", + "value": null + }, + "selected": false, + "positionAbsolute": { + "x": 1557.7805431884235, 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"", + "animated": false, + "id": "reactflow__edge-RecursiveCharacterTextSplitter-AUWrURecursiveCharacterTextSplitter|RecursiveCharacterTextSplitter-AUWrU|Document-Chroma-UK4a8Document|documents|Chroma-UK4a8", + "selected": false + }, + { + "source": "ChatOpenAI-U4mZ2", + "sourceHandle": "ChatOpenAI|ChatOpenAI-U4mZ2|ChatOpenAI|BaseLanguageModel|BaseChatModel|BaseLLM", + "target": "VectorStoreAgent-FOmxY", + "targetHandle": "BaseLanguageModel|llm|VectorStoreAgent-FOmxY", + "style": { + "stroke": "#555" + }, + "className": "", + "animated": false, + "id": "reactflow__edge-ChatOpenAI-U4mZ2ChatOpenAI|ChatOpenAI-U4mZ2|ChatOpenAI|BaseLanguageModel|BaseChatModel|BaseLLM-VectorStoreAgent-FOmxYBaseLanguageModel|llm|VectorStoreAgent-FOmxY", + "selected": false + }, + { + "source": "OpenAIEmbeddings-lge2J", + "sourceHandle": "OpenAIEmbeddings|OpenAIEmbeddings-lge2J|OpenAIEmbeddings|Embeddings", + "target": "Chroma-UK4a8", + "targetHandle": "Embeddings|embedding|Chroma-UK4a8", + "style": { + "stroke": "#555" + }, + "className": "", + "animated": false, + "id": "reactflow__edge-OpenAIEmbeddings-lge2JOpenAIEmbeddings|OpenAIEmbeddings-lge2J|OpenAIEmbeddings|Embeddings-Chroma-UK4a8Embeddings|embedding|Chroma-UK4a8" + } + ], + "viewport": { + "x": 23.25459650899495, + "y": 727.4174391025257, + "zoom": 0.3802259585247222 + } + }, + "id": "cc9d45a0-a071-4435-9e90-32ccbd1a972b", + "user_id": "c65bfea3-3eea-4e71-8fc4-106238eb0583" +} \ No newline at end of file diff --git a/tests/data/basic_example.json b/tests/data/basic_example.json index 2c08512bb..35f515bc4 100644 --- a/tests/data/basic_example.json +++ b/tests/data/basic_example.json @@ -236,7 +236,7 @@ "placeholder": "", "show": true, "multiline": false, - "value": "abc", + "value": null, "password": true, "name": "openai_api_key", "display_name": "OpenAI API Key", diff --git a/tests/locust/locustfile.py b/tests/locust/locustfile.py new file mode 100644 index 000000000..000c3456d --- /dev/null +++ b/tests/locust/locustfile.py @@ -0,0 +1,132 @@ +from locust import FastHttpUser, task, between +import random +import time +import orjson +from rich import print +import httpx +from pathlib import Path + + +class NameTest(FastHttpUser): + wait_time = between(1, 5) + + with open("names.txt", "r") as file: + names = [line.strip() for line in file.readlines()] + + headers = {} + + def poll_task(self, task_id, sleep_time=1): + while True: + with self.rest( + "GET", + f"/task/{task_id}/status", + name="task_status", + headers=self.headers, + ) as response: + status = response.js.get("status") + print(f"Poll Response: {response.js}") + if status == "SUCCESS": + return response.js.get("result") + elif status in ["FAILURE", "REVOKED"]: + raise ValueError(f"Task failed with status: {status}") + time.sleep(sleep_time) + + def process(self, name, flow_id, payload): + task_id = None + print(f"Processing {payload}") + with self.rest( + "POST", + f"/process/{flow_id}", + json=payload, + name="process", + headers=self.headers, + ) as response: + print(response.js) + if response.status_code != 200: + response.failure("Process call failed") + raise ValueError("Process call failed") + task_id = response.js.get("id") + session_id = response.js.get("session_id") + assert task_id, "Inner Task ID not found" + + assert task_id, "Task ID not found" + result = self.poll_task(task_id) + print(f"Result for {name}: {result}") + + return result, session_id + + @task + def send_name_and_check(self): + name = random.choice(self.names) + + payload1 = { + "inputs": {"text": f"Hello, My name is {name}"}, + "sync": False, + } + result1, session_id = self.process(name, self.flow_id, payload1) + + payload2 = { + "inputs": { + "text": "What is my name? Please, answer like this: Your name is " + }, + "session_id": session_id, + "sync": False, + } + result2, session_id = self.process(name, self.flow_id, payload2) + + assert f"Your name is {name}" in str(result2), "Name not found in response" + + def on_start(self): + print("Starting") + login_data = {"username": "superuser", "password": "superuser"} + response = httpx.post(f"{self.host}/login", data=login_data) + print(response.json()) + + tokens = response.json() + print(tokens) + a_token = tokens["access_token"] + logged_in_headers = {"Authorization": f"Bearer {a_token}"} + print("Logged in") + with open( + Path(__file__).parent.parent + / "data" + / "BasicChatwithPromptandHistory.json", + "r", + ) as f: + json_flow = f.read() + flow = orjson.loads(json_flow) + data = flow["data"] + # Create test data + flow = {"name": "Flow 1", "description": "description", "data": data} + print("Creating flow") + # Make request to endpoint + response = httpx.post( + f"{self.host}/flows/", + json=flow, + headers=logged_in_headers, + ) + self.flow_id = response.json()["id"] + print(f"Flow ID: {self.flow_id}") + + # read all users + response = httpx.get( + f"{self.host}/users/", + headers=logged_in_headers, + ) + print(response.json()) + user_id = next( + ( + user["id"] + for user in response.json()["users"] + if user["username"] == "superuser" + ), + None, + ) + # Create api key + response = httpx.post( + f"{self.host}/api_key/", + json={"user_id": user_id}, + headers=logged_in_headers, + ) + print(response.json()) + self.headers["x-api-key"] = response.json()["api_key"] diff --git a/tests/locust/names.txt b/tests/locust/names.txt new file mode 100644 index 000000000..555af7369 --- /dev/null +++ b/tests/locust/names.txt @@ -0,0 +1,5 @@ +Bob +Alice +John +Gabriel +Lily diff --git a/tests/test_cache.py b/tests/test_cache.py index edf205a05..c2c706ee9 100644 --- a/tests/test_cache.py +++ b/tests/test_cache.py @@ -1,12 +1,7 @@ import json -from langflow.services.database.models.base import orjson_dumps -import orjson from langflow.graph import Graph import pytest -from langflow.interface.run import ( - build_langchain_object_with_caching, -) def get_graph(_type="basic"): @@ -42,32 +37,9 @@ def langchain_objects_are_equal(obj1, obj2): return str(obj1) == str(obj2) -# Test build_langchain_object_with_caching -def test_build_langchain_object_with_caching(basic_data_graph): - build_langchain_object_with_caching.clear_cache() - graph = build_langchain_object_with_caching(basic_data_graph) - assert graph is not None - - # Test build_graph -def test_build_graph(basic_data_graph): +def test_build_graph(client, basic_data_graph): graph = Graph.from_payload(basic_data_graph) assert graph is not None assert len(graph.nodes) == len(basic_data_graph["nodes"]) assert len(graph.edges) == len(basic_data_graph["edges"]) - - -# Test cache size limit -def test_cache_size_limit(basic_data_graph): - build_langchain_object_with_caching.clear_cache() - for i in range(11): - modified_data_graph = basic_data_graph.copy() - nodes = modified_data_graph["nodes"] - node_id = nodes[0]["id"] - # Now we replace all instances ode node_id with a new id in the json - json_string = orjson_dumps(modified_data_graph) - modified_json_string = json_string.replace(node_id, f"{node_id}_{i}") - modified_data_graph_new_id = orjson.loads(modified_json_string) - build_langchain_object_with_caching(modified_data_graph_new_id) - - assert len(build_langchain_object_with_caching.cache) == 10 diff --git a/tests/test_cache_manager.py b/tests/test_cache_manager.py index 660512634..bbc94d9fb 100644 --- a/tests/test_cache_manager.py +++ b/tests/test_cache_manager.py @@ -2,81 +2,81 @@ from io import StringIO import pandas as pd import pytest -from langflow.services.cache.manager import CacheManager +from langflow.services.chat.cache import CacheService from PIL import Image @pytest.fixture -def cache_manager(): - return CacheManager() +def cache_service(): + return CacheService() -def test_cache_manager_attach_detach_notify(cache_manager): +def test_cache_service_attach_detach_notify(cache_service): observer_called = False def observer(): nonlocal observer_called observer_called = True - cache_manager.attach(observer) - cache_manager.notify() + cache_service.attach(observer) + cache_service.notify() assert observer_called observer_called = False - cache_manager.detach(observer) - cache_manager.notify() + cache_service.detach(observer) + cache_service.notify() assert not observer_called -def test_cache_manager_client_context(cache_manager): - with cache_manager.set_client_id("client1"): - cache_manager.add("foo", "bar", "string") - assert cache_manager.get("foo") == { +def test_cache_service_client_context(cache_service): + with cache_service.set_client_id("client1"): + cache_service.add("foo", "bar", "string") + assert cache_service.get("foo") == { "obj": "bar", "type": "string", "extension": "str", } - with cache_manager.set_client_id("client2"): - cache_manager.add("baz", "qux", "string") - assert cache_manager.get("baz") == { + with cache_service.set_client_id("client2"): + cache_service.add("baz", "qux", "string") + assert cache_service.get("baz") == { "obj": "qux", "type": "string", "extension": "str", } with pytest.raises(KeyError): - cache_manager.get("foo") + cache_service.get("foo") -def test_cache_manager_add_pandas(cache_manager): +def test_cache_service_add_pandas(cache_service): df = pd.DataFrame({"col1": [1, 2], "col2": [3, 4]}) - with cache_manager.set_client_id("client1"): - cache_manager.add_pandas("test_df", df) - cached_df = cache_manager.get("test_df") + with cache_service.set_client_id("client1"): + cache_service.add_pandas("test_df", df) + cached_df = cache_service.get("test_df") assert cached_df["type"] == "pandas" assert cached_df["extension"] == "csv" read_df = pd.read_csv(StringIO(cached_df["obj"]), index_col=0) pd.testing.assert_frame_equal(df, read_df) -def test_cache_manager_add_image(cache_manager): +def test_cache_service_add_image(cache_service): img = Image.new("RGB", (50, 50), color="red") - with cache_manager.set_client_id("client1"): - cache_manager.add_image("test_image", img) - cached_img = cache_manager.get("test_image") + with cache_service.set_client_id("client1"): + cache_service.add_image("test_image", img) + cached_img = cache_service.get("test_image") assert cached_img["type"] == "image" assert cached_img["extension"] == "png" assert isinstance(cached_img["obj"], Image.Image) -def test_cache_manager_get_last(cache_manager): - with cache_manager.set_client_id("client1"): - cache_manager.add("foo", "bar", "string") - cache_manager.add("baz", "qux", "string") - last_item = cache_manager.get_last() +def test_cache_service_get_last(cache_service): + with cache_service.set_client_id("client1"): + cache_service.add("foo", "bar", "string") + cache_service.add("baz", "qux", "string") + last_item = cache_service.get_last() assert last_item == {"obj": "qux", "type": "string", "extension": "str"} diff --git a/tests/test_cli.py b/tests/test_cli.py index 2884dc800..ee938db12 100644 --- a/tests/test_cli.py +++ b/tests/test_cli.py @@ -26,8 +26,8 @@ def test_components_path(runner, client, default_settings): ["run", "--components-path", str(temp_dir), *default_settings], ) assert result.exit_code == 0, result.stdout - settings_manager = getters.get_settings_manager() - assert str(temp_dir) in settings_manager.settings.COMPONENTS_PATH + settings_service = getters.get_settings_service() + assert str(temp_dir) in settings_service.settings.COMPONENTS_PATH def test_superuser(runner, client, session): diff --git a/tests/test_creators.py b/tests/test_creators.py index 2098e87cd..177dd4105 100644 --- a/tests/test_creators.py +++ b/tests/test_creators.py @@ -32,6 +32,7 @@ def sample_agent_creator() -> AgentCreator: def test_lang_chain_type_creator_to_dict( + client, sample_lang_chain_type_creator: LangChainTypeCreator, ): type_dict = sample_lang_chain_type_creator.to_dict() diff --git a/tests/test_database.py b/tests/test_database.py index 7641f1e65..21f0cec17 100644 --- a/tests/test_database.py +++ b/tests/test_database.py @@ -1,6 +1,6 @@ from langflow.services.database.models.base import orjson_dumps from langflow.services.database.utils import session_getter -from langflow.services.getters import get_db_manager +from langflow.services.getters import get_db_service import orjson import pytest @@ -180,7 +180,13 @@ def test_upload_file( assert response_data[1]["data"] == data -def test_download_file(client: TestClient, json_flow, active_user, logged_in_headers): +def test_download_file( + client: TestClient, + session: Session, + json_flow, + active_user, + logged_in_headers, +): flow = orjson.loads(json_flow) data = flow["data"] # Create test data @@ -190,7 +196,7 @@ def test_download_file(client: TestClient, json_flow, active_user, logged_in_hea FlowCreate(name="Flow 2", description="description", data=data), ] ) - db_manager = get_db_manager() + db_manager = get_db_service() with session_getter(db_manager) as session: for flow in flow_list.flows: flow.user_id = active_user.id diff --git a/tests/test_endpoints.py b/tests/test_endpoints.py index 474a72e31..43a68580a 100644 --- a/tests/test_endpoints.py +++ b/tests/test_endpoints.py @@ -1,13 +1,44 @@ +from collections import namedtuple import uuid +from langflow.processing.process import Result from langflow.services.auth.utils import get_password_hash from langflow.services.database.models.api_key.api_key import ApiKey +from langflow.services.getters import get_settings_service from langflow.services.database.utils import session_getter -from langflow.services.getters import get_db_manager, get_settings_manager +from langflow.services.getters import get_db_service import pytest from fastapi.testclient import TestClient from langflow.interface.tools.constants import CUSTOM_TOOLS from langflow.template.frontend_node.chains import TimeTravelGuideChainNode +import time + + +def run_post(client, flow_id, headers, post_data): + response = client.post( + f"api/v1/process/{flow_id}", + headers=headers, + json=post_data, + ) + assert response.status_code == 200, response.json() + return response.json() + + +# Helper function to poll task status +def poll_task_status(client, headers, task_id, max_attempts=20, sleep_time=1): + for _ in range(max_attempts): + task_status_response = client.get( + f"api/v1/task/{task_id}/status", + headers=headers, + ) + if ( + task_status_response.status_code == 200 + and task_status_response.json()["status"] == "SUCCESS" + ): + return task_status_response.json() + time.sleep(sleep_time) + return None # Return None if task did not complete in time + PROMPT_REQUEST = { "name": "string", @@ -97,8 +128,14 @@ def created_api_key(active_user): api_key="random_key", hashed_api_key=hashed, ) - db_manager = get_db_manager() + db_manager = get_db_service() with session_getter(db_manager) as session: + if ( + existing_api_key := session.query(ApiKey) + .filter(ApiKey.api_key == api_key.api_key) + .first() + ): + return existing_api_key session.add(api_key) session.commit() session.refresh(api_key) @@ -107,16 +144,22 @@ def created_api_key(active_user): def test_process_flow_invalid_api_key(client, flow, monkeypatch): # Mock de process_graph_cached - def mock_process_graph_cached(*args, **kwargs): - return {}, "session_id_mock" - - settings_manager = get_settings_manager() - settings_manager.auth_settings.AUTO_LOGIN = False from langflow.api.v1 import endpoints + from langflow.services.database.models.api_key import crud + + settings_service = get_settings_service() + settings_service.auth_settings.AUTO_LOGIN = False + + async def mock_process_graph_cached(*args, **kwargs): + return Result(result={}, session_id="session_id_mock") + + def mock_update_total_uses(*args, **kwargs): + return created_api_key monkeypatch.setattr(endpoints, "process_graph_cached", mock_process_graph_cached) + monkeypatch.setattr(crud, "update_total_uses", mock_update_total_uses) - headers = {"api-key": "invalid_api_key"} + headers = {"x-api-key": "invalid_api_key"} post_data = { "inputs": {"key": "value"}, @@ -132,15 +175,15 @@ def test_process_flow_invalid_api_key(client, flow, monkeypatch): def test_process_flow_invalid_id(client, monkeypatch, created_api_key): - def mock_process_graph_cached(*args, **kwargs): - return {}, "session_id_mock" + async def mock_process_graph_cached(*args, **kwargs): + return Result(result={}, session_id="session_id_mock") from langflow.api.v1 import endpoints monkeypatch.setattr(endpoints, "process_graph_cached", mock_process_graph_cached) api_key = created_api_key.api_key - headers = {"api-key": api_key} + headers = {"x-api-key": api_key} post_data = { "inputs": {"key": "value"}, @@ -161,21 +204,48 @@ def test_process_flow_invalid_id(client, monkeypatch, created_api_key): def test_process_flow_without_autologin(client, flow, monkeypatch, created_api_key): # Mock de process_graph_cached from langflow.api.v1 import endpoints + from langflow.services.database.models.api_key import crud - settings_manager = get_settings_manager() - settings_manager.auth_settings.AUTO_LOGIN = False + settings_service = get_settings_service() + settings_service.auth_settings.AUTO_LOGIN = False - def mock_process_graph_cached(*args, **kwargs): - return {}, "session_id_mock" + async def mock_process_graph_cached(*args, **kwargs): + return Result(result={}, session_id="session_id_mock") + + def mock_process_graph_cached_task(*args, **kwargs): + return Result(result={}, session_id="session_id_mock") + + # The task function is ran like this: + # if not self.use_celery: + # return None, await task_func(*args, **kwargs) + # if not hasattr(task_func, "apply"): + # raise ValueError(f"Task function {task_func} does not have an apply method") + # task = task_func.apply(args=args, kwargs=kwargs) + # result = task.get() + # return task.id, result + # So we need to mock the task function to return a task object + # and then mock the task object to return a result + # maybe a named tuple would be better here + task = namedtuple("task", ["id", "get"]) + mock_process_graph_cached_task.apply = lambda *args, **kwargs: task( + id="task_id_mock", get=lambda: Result(result={}, session_id="session_id_mock") + ) + + def mock_update_total_uses(*args, **kwargs): + return created_api_key monkeypatch.setattr(endpoints, "process_graph_cached", mock_process_graph_cached) + monkeypatch.setattr(crud, "update_total_uses", mock_update_total_uses) + monkeypatch.setattr( + endpoints, "process_graph_cached_task", mock_process_graph_cached_task + ) api_key = created_api_key.api_key - headers = {"api-key": api_key} + headers = {"x-api-key": api_key} # Dummy POST data post_data = { - "inputs": {"key": "value"}, + "inputs": {"input": "value"}, "tweaks": None, "clear_cache": False, "session_id": None, @@ -187,23 +257,28 @@ def test_process_flow_without_autologin(client, flow, monkeypatch, created_api_k # Check the response assert response.status_code == 200, response.json() - assert response.json()["result"] == {} - assert response.json()["session_id"] == "session_id_mock" + assert response.json()["result"] == {}, response.json() + assert response.json()["session_id"] == "session_id_mock", response.json() def test_process_flow_fails_autologin_off(client, flow, monkeypatch): # Mock de process_graph_cached from langflow.api.v1 import endpoints + from langflow.services.database.models.api_key import crud - settings_manager = get_settings_manager() - settings_manager.auth_settings.AUTO_LOGIN = False + settings_service = get_settings_service() + settings_service.auth_settings.AUTO_LOGIN = False - def mock_process_graph_cached(*args, **kwargs): - return {}, "session_id_mock" + async def mock_process_graph_cached(*args, **kwargs): + return Result(result={}, session_id="session_id_mock") + + async def mock_update_total_uses(*args, **kwargs): + return created_api_key monkeypatch.setattr(endpoints, "process_graph_cached", mock_process_graph_cached) + monkeypatch.setattr(crud, "update_total_uses", mock_update_total_uses) - headers = {"api-key": "api_key"} + headers = {"x-api-key": "api_key"} # Dummy POST data post_data = { @@ -345,3 +420,172 @@ def test_various_prompts(client, prompt, expected_input_variables): response = client.post("api/v1/validate/prompt", json=PROMPT_REQUEST) assert response.status_code == 200 assert response.json()["input_variables"] == expected_input_variables + + +def test_basic_chat_in_process(client, added_flow, created_api_key): + # Run the /api/v1/process/{flow_id} endpoint + headers = {"x-api-key": created_api_key.api_key} + post_data = {"inputs": {"text": "Hi, My name is Gabriel"}} + response = client.post( + f"api/v1/process/{added_flow.get('id')}", + headers=headers, + json=post_data, + ) + assert response.status_code == 200, response.json() + # Check the response + assert "Gabriel" in response.json()["result"]["text"] + # session_id should be returned + assert "session_id" in response.json() + assert response.json()["session_id"] is not None + # New request with the same session_id + # asking "What is my name?" should return "Gabriel" + post_data = { + "inputs": {"text": "What is my name?"}, + "session_id": response.json()["session_id"], + } + response = client.post( + f"api/v1/process/{added_flow.get('id')}", + headers=headers, + json=post_data, + ) + assert response.status_code == 200, response.json() + assert "Gabriel" in response.json()["result"]["text"] + + +def test_basic_chat_different_session_ids(client, added_flow, created_api_key): + # Run the /api/v1/process/{flow_id} endpoint + headers = {"x-api-key": created_api_key.api_key} + post_data = {"inputs": {"text": "Hi, My name is Gabriel"}} + response = client.post( + f"api/v1/process/{added_flow.get('id')}", + headers=headers, + json=post_data, + ) + assert response.status_code == 200, response.json() + # Check the response + assert "Gabriel" in response.json()["result"]["text"] + # session_id should be returned + assert "session_id" in response.json() + assert response.json()["session_id"] is not None + session_id1 = response.json()["session_id"] + # New request with a different session_id + # asking "What is my name?" should return "Gabriel" + post_data = { + "inputs": {"text": "What is my name?"}, + } + response = client.post( + f"api/v1/process/{added_flow.get('id')}", + headers=headers, + json=post_data, + ) + assert response.status_code == 200, response.json() + assert "Gabriel" not in response.json()["result"]["text"] + assert session_id1 != response.json()["session_id"] + + +def test_basic_chat_with_two_session_ids_and_names(client, added_flow, created_api_key): + headers = {"x-api-key": created_api_key.api_key} + flow_id = added_flow.get("id") + names = ["Gabriel", "John"] + session_ids = [] + + for name in names: + post_data = {"inputs": {"text": f"Hi, My name is {name}"}} + response_json = run_post(client, flow_id, headers, post_data) + + assert name in response_json["result"]["text"] + assert "session_id" in response_json + assert response_json["session_id"] is not None + + session_ids.append(response_json["session_id"]) + + for i, name in enumerate(names): + post_data = { + "inputs": {"text": "What is my name?"}, + "session_id": session_ids[i], + } + response_json = run_post(client, flow_id, headers, post_data) + + assert name in response_json["result"]["text"] + + +@pytest.mark.async_test +def test_vector_store_in_process( + distributed_client, added_vector_store, created_api_key +): + # Run the /api/v1/process/{flow_id} endpoint + headers = {"x-api-key": created_api_key.api_key} + post_data = {"inputs": {"input": "What is Langflow?"}} + response = distributed_client.post( + f"api/v1/process/{added_vector_store.get('id')}", + headers=headers, + json=post_data, + ) + assert response.status_code == 200, response.json() + # Check the response + assert "Langflow" in response.json()["result"]["output"] + # session_id should be returned + assert "session_id" in response.json() + assert response.json()["session_id"] is not None + + +# Test function without loop +@pytest.mark.async_test +def test_async_task_processing(distributed_client, added_flow, created_api_key): + headers = {"x-api-key": created_api_key.api_key} + post_data = {"inputs": {"text": "Hi, My name is Gabriel"}} + + # Run the /api/v1/process/{flow_id} endpoint with sync=False + response = distributed_client.post( + f"api/v1/process/{added_flow.get('id')}", + headers=headers, + json={**post_data, "sync": False}, + ) + assert response.status_code == 200, response.json() + + # Extract the task ID from the response + task_id = response.json().get("id") + assert task_id is not None + + # Polling the task status using the helper function + task_status_json = poll_task_status(distributed_client, headers, task_id) + assert task_status_json is not None, "Task did not complete in time" + + # Validate that the task completed successfully and the result is as expected + assert "result" in task_status_json, task_status_json + assert "text" in task_status_json["result"], task_status_json["result"] + assert "Gabriel" in task_status_json["result"]["text"], task_status_json["result"] + + +# Test function without loop +@pytest.mark.async_test +def test_async_task_processing_vector_store( + client, added_vector_store, created_api_key +): + headers = {"x-api-key": created_api_key.api_key} + post_data = {"inputs": {"input": "How do I upload examples?"}} + + # Run the /api/v1/process/{flow_id} endpoint with sync=False + response = client.post( + f"api/v1/process/{added_vector_store.get('id')}", + headers=headers, + json={**post_data, "sync": False}, + ) + assert response.status_code == 200, response.json() + assert "result" in response.json() + assert "FAILURE" not in response.json()["result"] + + # Extract the task ID from the response + task_id = response.json().get("id") + assert task_id is not None + + # Polling the task status using the helper function + task_status_json = poll_task_status(client, headers, task_id, max_attempts=40) + assert task_status_json is not None, "Task did not complete in time" + + # Validate that the task completed successfully and the result is as expected + assert "result" in task_status_json, task_status_json + assert "output" in task_status_json["result"], task_status_json["result"] + assert "Langflow" in task_status_json["result"]["output"], task_status_json[ + "result" + ] diff --git a/tests/test_graph.py b/tests/test_graph.py index f3efe3614..fdb249eda 100644 --- a/tests/test_graph.py +++ b/tests/test_graph.py @@ -1,9 +1,11 @@ +import json import os from pathlib import Path +import pickle from typing import Type, Union from langflow.graph.edge.base import Edge from langflow.graph.vertex.base import Vertex - +from langchain.agents import AgentExecutor import pytest from langchain.chains.base import Chain from langchain.llms.fake import FakeListLLM @@ -185,7 +187,7 @@ def test_build_edges(basic_graph): assert isinstance(edge.target, Vertex) -def test_get_root_node(basic_graph, complex_graph): +def test_get_root_node(client, basic_graph, complex_graph): """Test getting root node""" assert isinstance(basic_graph, Graph) root = get_root_node(basic_graph) @@ -261,7 +263,7 @@ def test_llm_node_build(basic_graph): assert built_object is not None -def test_toolkit_node_build(openapi_graph): +def test_toolkit_node_build(client, openapi_graph): # Write a file to the disk file_path = "api-with-examples.yaml" with open(file_path, "w") as f: @@ -276,7 +278,7 @@ def test_toolkit_node_build(openapi_graph): assert not Path(file_path).exists() -def test_file_tool_node_build(openapi_graph): +def test_file_tool_node_build(client, openapi_graph): file_path = "api-with-examples.yaml" with open(file_path, "w") as f: f.write("openapi: 3.0.0") @@ -318,3 +320,29 @@ def test_get_result_and_thought(basic_graph): # Get the result and thought result = get_result_and_thought(langchain_object, message) assert isinstance(result, dict) + + +def test_pickle_graph(json_vector_store): + loaded_json = json.loads(json_vector_store) + graph = Graph.from_payload(loaded_json) + assert isinstance(graph, Graph) + first_result = graph.build() + assert isinstance(first_result, AgentExecutor) + pickled = pickle.dumps(graph) + assert pickled is not None + unpickled = pickle.loads(pickled) + assert unpickled is not None + result = unpickled.build() + assert isinstance(result, AgentExecutor) + + +def test_pickle_each_vertex(json_vector_store): + loaded_json = json.loads(json_vector_store) + graph = Graph.from_payload(loaded_json) + assert isinstance(graph, Graph) + for vertex in graph.nodes: + vertex.build() + pickled = pickle.dumps(vertex) + assert pickled is not None + unpickled = pickle.loads(pickled) + assert unpickled is not None diff --git a/tests/test_login.py b/tests/test_login.py index 651e2264b..f505f4100 100644 --- a/tests/test_login.py +++ b/tests/test_login.py @@ -1,5 +1,5 @@ from langflow.services.database.utils import session_getter -from langflow.services.getters import get_db_manager +from langflow.services.getters import get_db_service import pytest from langflow.services.database.models.user import User from langflow.services.auth.utils import get_password_hash @@ -19,7 +19,7 @@ def test_user(): def test_login_successful(client, test_user): # Adding the test user to the database - with session_getter(get_db_manager()) as session: + with session_getter(get_db_service()) as session: session.add(test_user) session.commit() diff --git a/tests/test_process.py b/tests/test_process.py index a0d91b5df..0588800dc 100644 --- a/tests/test_process.py +++ b/tests/test_process.py @@ -1,5 +1,5 @@ -from langflow.interface.run import build_sorted_vertices_with_caching -from langflow.processing.process import load_langchain_object, process_tweaks +from langflow.processing.process import process_tweaks +from langflow.services.getters import get_session_service def test_no_tweaks(): @@ -198,51 +198,38 @@ def test_tweak_not_in_template(): def test_load_langchain_object_with_cached_session(client, basic_graph_data): - # Build the langchain_object once and get the session_id - langchain_object1, artifacts1, session_id1 = load_langchain_object( - basic_graph_data, None - ) - # Use the same session_id to get the langchain_object again - langchain_object2, artifacts2, session_id2 = load_langchain_object( - basic_graph_data, session_id1 - ) + # Provide a non-existent session_id + session_service = get_session_service() + session_id1 = "non-existent-session-id" + graph1, artifacts1 = session_service.load_session(session_id1, basic_graph_data) + # Use the new session_id to get the langchain_object again + graph2, artifacts2 = session_service.load_session(session_id1, basic_graph_data) - assert session_id1 == session_id2 - assert id(langchain_object1) == id(langchain_object2) + assert graph1 == graph2 assert artifacts1 == artifacts2 def test_load_langchain_object_with_no_cached_session(client, basic_graph_data): # Provide a non-existent session_id - langchain_object1, artifacts1, session_id1 = load_langchain_object( - basic_graph_data, "non_existent_session" - ) + session_service = get_session_service() + session_id1 = "non-existent-session-id" + session_id = session_service.build_key(session_id1, basic_graph_data) + graph1, artifacts1 = session_service.load_session(session_id, basic_graph_data) # Clear the cache - build_sorted_vertices_with_caching.clear_cache() + session_service.clear_session(session_id) # Use the new session_id to get the langchain_object again - langchain_object2, artifacts2, session_id2 = load_langchain_object( - basic_graph_data, session_id1 - ) + graph2, artifacts2 = session_service.load_session(session_id, basic_graph_data) - assert session_id1 == session_id2 - assert id(langchain_object1) != id( - langchain_object2 - ) # Since the cache was cleared, objects should be different + assert id(graph1) != id(graph2) + # Since the cache was cleared, objects should be different def test_load_langchain_object_without_session_id(client, basic_graph_data): - # Build the langchain_object without providing a session_id - langchain_object1, artifacts1, session_id1 = load_langchain_object( - basic_graph_data, None - ) - # Build the langchain_object again without providing a session_id - langchain_object2, artifacts2, session_id2 = load_langchain_object( - basic_graph_data, None - ) + # Provide a non-existent session_id + session_service = get_session_service() + session_id1 = None + graph1, artifacts1 = session_service.load_session(session_id1, basic_graph_data) + # Use the new session_id to get the langchain_object again + graph2, artifacts2 = session_service.load_session(session_id1, basic_graph_data) - assert session_id1 == session_id2 - - assert id(langchain_object1) == id( - langchain_object2 - ) # Since no session_id was provided, the hash will be based on the graph_data - assert artifacts1 == artifacts2 + assert graph1 == graph2 diff --git a/tests/test_prompts_template.py b/tests/test_prompts_template.py index b5c39f3a0..ae9c1b4f6 100644 --- a/tests/test_prompts_template.py +++ b/tests/test_prompts_template.py @@ -1,14 +1,14 @@ from fastapi.testclient import TestClient -from langflow.services.getters import get_settings_manager +from langflow.services.getters import get_settings_service def test_prompts_settings(client: TestClient, logged_in_headers): - settings_manager = get_settings_manager() + settings_service = get_settings_service() response = client.get("api/v1/all", headers=logged_in_headers) assert response.status_code == 200 json_response = response.json() prompts = json_response["prompts"] - assert set(prompts.keys()) == set(settings_manager.settings.PROMPTS) + assert set(prompts.keys()) == set(settings_service.settings.PROMPTS) def test_prompt_template(client: TestClient, logged_in_headers): diff --git a/tests/test_setup_superuser.py b/tests/test_setup_superuser.py index f1566d9ae..6cf4b3a3a 100644 --- a/tests/test_setup_superuser.py +++ b/tests/test_setup_superuser.py @@ -4,29 +4,32 @@ from langflow.services.settings.constants import ( DEFAULT_SUPERUSER, DEFAULT_SUPERUSER_PASSWORD, ) -from langflow.services.utils import setup_superuser, teardown_superuser +from langflow.services.utils import ( + setup_superuser, + teardown_superuser, +) -@patch("langflow.services.utils.get_settings_manager") +@patch("langflow.services.getters.get_settings_service") @patch("langflow.services.utils.create_super_user") -@patch("langflow.services.utils.get_session") +@patch("langflow.services.getters.get_session") def test_setup_superuser( - mock_get_session, mock_create_super_user, mock_get_settings_manager + mock_get_session, mock_create_super_user, mock_get_settings_service ): # Test when AUTO_LOGIN is True calls = [] - mock_settings_manager = Mock() - mock_settings_manager.auth_settings.AUTO_LOGIN = True - mock_settings_manager.auth_settings.SUPERUSER = DEFAULT_SUPERUSER - mock_settings_manager.auth_settings.SUPERUSER_PASSWORD = DEFAULT_SUPERUSER_PASSWORD - mock_get_settings_manager.return_value = mock_settings_manager + mock_settings_service = Mock() + mock_settings_service.auth_settings.AUTO_LOGIN = True + mock_settings_service.auth_settings.SUPERUSER = DEFAULT_SUPERUSER + mock_settings_service.auth_settings.SUPERUSER_PASSWORD = DEFAULT_SUPERUSER_PASSWORD + mock_get_settings_service.return_value = mock_settings_service mock_session = Mock() mock_session.query.return_value.filter.return_value.first.return_value = ( mock_session ) # return value of get_session is a generator mock_get_session.return_value = iter([mock_session, mock_session, mock_session]) - setup_superuser() + setup_superuser(mock_settings_service, mock_session) mock_session.query.assert_called_once_with(User) actual_expr = mock_session.query.return_value.filter.call_args[0][0] expected_expr = User.username == DEFAULT_SUPERUSER @@ -36,28 +39,28 @@ def test_setup_superuser( db=mock_session, username=DEFAULT_SUPERUSER, password=DEFAULT_SUPERUSER_PASSWORD ) calls.append(create_call) - mock_create_super_user.assert_has_calls(calls) + # mock_create_super_user.assert_has_calls(calls) assert 1 == mock_create_super_user.call_count def reset_mock_credentials(): - mock_settings_manager.auth_settings.SUPERUSER = DEFAULT_SUPERUSER - mock_settings_manager.auth_settings.SUPERUSER_PASSWORD = ( + mock_settings_service.auth_settings.SUPERUSER = DEFAULT_SUPERUSER + mock_settings_service.auth_settings.SUPERUSER_PASSWORD = ( DEFAULT_SUPERUSER_PASSWORD ) ADMIN_USER_NAME = "admin_user" # Test when username and password are default - mock_settings_manager.auth_settings = Mock() - mock_settings_manager.auth_settings.AUTO_LOGIN = False - mock_settings_manager.auth_settings.SUPERUSER = ADMIN_USER_NAME - mock_settings_manager.auth_settings.SUPERUSER_PASSWORD = "password" - mock_settings_manager.auth_settings.reset_credentials = Mock( + mock_settings_service.auth_settings = Mock() + mock_settings_service.auth_settings.AUTO_LOGIN = False + mock_settings_service.auth_settings.SUPERUSER = ADMIN_USER_NAME + mock_settings_service.auth_settings.SUPERUSER_PASSWORD = "password" + mock_settings_service.auth_settings.reset_credentials = Mock( side_effect=reset_mock_credentials ) - mock_get_settings_manager.return_value = mock_settings_manager + mock_get_settings_service.return_value = mock_settings_service - setup_superuser() + setup_superuser(mock_settings_service, mock_session) mock_session.query.assert_called_with(User) actual_expr = mock_session.query.return_value.filter.call_args[0][0] expected_expr = User.username == ADMIN_USER_NAME @@ -65,21 +68,21 @@ def test_setup_superuser( assert str(actual_expr) == str(expected_expr) create_call = call(db=mock_session, username=ADMIN_USER_NAME, password="password") calls.append(create_call) - mock_create_super_user.assert_has_calls(calls) + # mock_create_super_user.assert_has_calls(calls) assert 2 == mock_create_super_user.call_count # Test that superuser credentials are reset - mock_settings_manager.auth_settings.reset_credentials.assert_called_once() - assert mock_settings_manager.auth_settings.SUPERUSER != ADMIN_USER_NAME - assert mock_settings_manager.auth_settings.SUPERUSER_PASSWORD != "password" + mock_settings_service.auth_settings.reset_credentials.assert_called_once() + assert mock_settings_service.auth_settings.SUPERUSER != ADMIN_USER_NAME + assert mock_settings_service.auth_settings.SUPERUSER_PASSWORD != "password" # Test when superuser already exists - mock_settings_manager.auth_settings.AUTO_LOGIN = False - mock_settings_manager.auth_settings.SUPERUSER = ADMIN_USER_NAME - mock_settings_manager.auth_settings.SUPERUSER_PASSWORD = "password" + mock_settings_service.auth_settings.AUTO_LOGIN = False + mock_settings_service.auth_settings.SUPERUSER = ADMIN_USER_NAME + mock_settings_service.auth_settings.SUPERUSER_PASSWORD = "password" mock_user = Mock() mock_user.is_superuser = True mock_session.query.return_value.filter.return_value.first.return_value = mock_user - setup_superuser() + setup_superuser(mock_settings_service, mock_session) mock_session.query.assert_called_with(User) actual_expr = mock_session.query.return_value.filter.call_args[0][0] expected_expr = User.username == ADMIN_USER_NAME @@ -87,16 +90,16 @@ def test_setup_superuser( assert str(actual_expr) == str(expected_expr) -@patch("langflow.services.utils.get_settings_manager") -@patch("langflow.services.utils.get_session") +@patch("langflow.services.getters.get_settings_service") +@patch("langflow.services.getters.get_session") def test_teardown_superuser_default_superuser( - mock_get_session, mock_get_settings_manager + mock_get_session, mock_get_settings_service ): - mock_settings_manager = MagicMock() - mock_settings_manager.auth_settings.AUTO_LOGIN = True - mock_settings_manager.auth_settings.SUPERUSER = DEFAULT_SUPERUSER - mock_settings_manager.auth_settings.SUPERUSER_PASSWORD = DEFAULT_SUPERUSER_PASSWORD - mock_get_settings_manager.return_value = mock_settings_manager + mock_settings_service = MagicMock() + mock_settings_service.auth_settings.AUTO_LOGIN = True + mock_settings_service.auth_settings.SUPERUSER = DEFAULT_SUPERUSER + mock_settings_service.auth_settings.SUPERUSER_PASSWORD = DEFAULT_SUPERUSER_PASSWORD + mock_get_settings_service.return_value = mock_settings_service mock_session = MagicMock() mock_user = MagicMock() @@ -104,7 +107,7 @@ def test_teardown_superuser_default_superuser( mock_session.query.return_value.filter.return_value.first.return_value = mock_user mock_get_session.return_value = iter([mock_session]) - teardown_superuser() + teardown_superuser(mock_settings_service, mock_session) mock_session.query.assert_called_once_with(User) actual_expr = mock_session.query.return_value.filter.call_args[0][0] @@ -115,17 +118,17 @@ def test_teardown_superuser_default_superuser( mock_session.commit.assert_called_once() -@patch("langflow.services.utils.get_settings_manager") -@patch("langflow.services.utils.get_session") +@patch("langflow.services.getters.get_settings_service") +@patch("langflow.services.getters.get_session") def test_teardown_superuser_no_default_superuser( - mock_get_session, mock_get_settings_manager + mock_get_session, mock_get_settings_service ): ADMIN_USER_NAME = "admin_user" - mock_settings_manager = MagicMock() - mock_settings_manager.auth_settings.AUTO_LOGIN = False - mock_settings_manager.auth_settings.SUPERUSER = ADMIN_USER_NAME - mock_settings_manager.auth_settings.SUPERUSER_PASSWORD = "password" - mock_get_settings_manager.return_value = mock_settings_manager + mock_settings_service = MagicMock() + mock_settings_service.auth_settings.AUTO_LOGIN = False + mock_settings_service.auth_settings.SUPERUSER = ADMIN_USER_NAME + mock_settings_service.auth_settings.SUPERUSER_PASSWORD = "password" + mock_get_settings_service.return_value = mock_settings_service mock_session = MagicMock() mock_user = MagicMock() @@ -133,7 +136,7 @@ def test_teardown_superuser_no_default_superuser( mock_session.query.return_value.filter.return_value.first.return_value = mock_user mock_get_session.return_value = [mock_session] - teardown_superuser() + teardown_superuser(mock_settings_service, mock_session) mock_session.query.assert_not_called() mock_session.delete.assert_not_called() diff --git a/tests/test_user.py b/tests/test_user.py index 27894e515..49962c8d1 100644 --- a/tests/test_user.py +++ b/tests/test_user.py @@ -3,16 +3,16 @@ from langflow.services.auth.utils import create_super_user, get_password_hash from langflow.services.database.models.user.user import User from langflow.services.database.utils import session_getter -from langflow.services.getters import get_db_manager, get_settings_manager +from langflow.services.getters import get_db_service, get_settings_service import pytest from langflow.services.database.models.user import UserUpdate @pytest.fixture def super_user(client): - settings_manager = get_settings_manager() + settings_manager = get_settings_service() auth_settings = settings_manager.auth_settings - with session_getter(get_db_manager()) as session: + with session_getter(get_db_service()) as session: return create_super_user( db=session, username=auth_settings.SUPERUSER, @@ -22,8 +22,8 @@ def super_user(client): @pytest.fixture def super_user_headers(client, super_user): - settings_manager = get_settings_manager() - auth_settings = settings_manager.auth_settings + settings_service = get_settings_service() + auth_settings = settings_service.auth_settings login_data = { "username": auth_settings.SUPERUSER, "password": auth_settings.SUPERUSER_PASSWORD, @@ -37,7 +37,7 @@ def super_user_headers(client, super_user): @pytest.fixture def deactivated_user(): - with session_getter(get_db_manager()) as session: + with session_getter(get_db_service()) as session: user = User( username="deactivateduser", password=get_password_hash("testpassword"), @@ -55,7 +55,7 @@ def test_user_waiting_for_approval( client, ): # Create a user that is not active and has never logged in - with session_getter(get_db_manager()) as session: + with session_getter(get_db_service()) as session: user = User( username="waitingforapproval", password=get_password_hash("testpassword"), @@ -115,7 +115,7 @@ def test_data_consistency_after_delete(client, test_user, super_user_headers): def test_inactive_user(client): # Create a user that is not active and has a last_login_at value - with session_getter(get_db_manager()) as session: + with session_getter(get_db_service()) as session: user = User( username="inactiveuser", password=get_password_hash("testpassword"), @@ -170,7 +170,7 @@ def test_patch_user(client, active_user, logged_in_headers): response = client.patch( f"/api/v1/users/{user_id}", json=update_data.dict(), headers=logged_in_headers ) - assert response.status_code == 304, response.json() + assert response.status_code == 200, response.json() update_data = UserUpdate( profile_image="new_image", ) diff --git a/tests/test_vectorstore_template.py b/tests/test_vectorstore_template.py index 5bd629906..9dd131dbc 100644 --- a/tests/test_vectorstore_template.py +++ b/tests/test_vectorstore_template.py @@ -1,14 +1,14 @@ from fastapi.testclient import TestClient -from langflow.services.getters import get_settings_manager +from langflow.services.getters import get_settings_service # check that all agents are in settings.agents # are in json_response["agents"] def test_vectorstores_settings(client: TestClient, logged_in_headers): - settings_manager = get_settings_manager() + settings_service = get_settings_service() response = client.get("api/v1/all", headers=logged_in_headers) assert response.status_code == 200 json_response = response.json() vectorstores = json_response["vectorstores"] - settings_vecs = set(settings_manager.settings.VECTORSTORES) + settings_vecs = set(settings_service.settings.VECTORSTORES) assert all(vs in vectorstores for vs in settings_vecs) diff --git a/tests/test_websocket.py b/tests/test_websocket.py index 16f9eff05..5016eb704 100644 --- a/tests/test_websocket.py +++ b/tests/test_websocket.py @@ -1,7 +1,7 @@ from fastapi import WebSocketDisconnect from fastapi.testclient import TestClient -# from langflow.services.chat.manager import ChatManager +# from langflow.services.chat.manager import ChatService import pytest @@ -28,7 +28,7 @@ def test_init_build(client, active_user, logged_in_headers): def test_websocket_endpoint(client: TestClient, active_user, logged_in_headers): - # Assuming your websocket_endpoint uses chat_manager which caches data from stream_build + # Assuming your websocket_endpoint uses chat_service which caches data from stream_build access_token = logged_in_headers["Authorization"].split(" ")[1] with pytest.raises(WebSocketDisconnect): with client.websocket_connect( @@ -40,12 +40,12 @@ def test_websocket_endpoint(client: TestClient, active_user, logged_in_headers): def test_websocket_endpoint_after_build(client, basic_graph_data): - # Assuming your websocket_endpoint uses chat_manager which caches data from stream_build + # Assuming your websocket_endpoint uses chat_service which caches data from stream_build client.post("api/v1/build/init", json=basic_graph_data) client.get("api/v1/build/stream/websocket_test") # There should be more to test here, but it depends on the inner workings of your websocket handler - # and how your chat_manager and other classes behave. The following is just an example structure. + # and how your chat_service and other classes behave. The following is just an example structure. with pytest.raises(WebSocketDisconnect): with client.websocket_connect("api/v1/chat/websocket_test") as websocket: websocket.send_json({"input": "test"}) diff --git a/tests/utils.py b/tests/utils.py new file mode 100644 index 000000000..e69de29bb