Split Langflow into Langflow and Langflow Base (#1562)
* Initial Restructure * Replace import langflow for import langflow_base * Fix dependencies * 🔧 chore(Makefile): refactor build process to separate base and frontend builds for better organization and maintainability * 🚀 chore(Makefile): update build_frontend command to copy frontend build to the correct directory 🔖 chore(pyproject.toml): update python and httpx dependencies versions 🔧 chore(__init__.py): update import statement for load_flow_from_json function * 🔖 chore(pyproject.toml): update package version from 0.0.6 to 0.0.8 to reflect changes in the codebase * 🚀 feat(server.ts): change port variable case from lowercase port to uppercase PORT to improve semantics 🚀 feat(server.ts): add support for process.env.PORT environment variable to be able to run app on a configurable port * 🐛 fix(server.ts): change port variable case from lowercase port to uppercase PORT to improve semantics ✨ feat(server.ts): add support for process.env.PORT environment variable to be able to run app on a configurable port 🚚 chore(pyproject.toml): update langflow-base version from 0.0.8 to 0.0.10 ✨ feat(server.ts): add new agent component LCAgentComponent to langflow_base ✨ feat(server.ts): add new model component LCModelComponent to langflow_base ✨ feat(server.ts): add new helper functions docs_to_records and records_to_text to langflow_base ✨ feat(server.ts): add new flow helper functions list_flows, load_flow, run_flow, generate_function_for_flow, get_flow_inputs, build_schema_from_inputs to langflow_base ✨ feat(server.ts): add new prompt component PromptComponent to langflow_base ✨ feat(server.ts): add new chat components ChatInput and ChatOutput to langflow_base ✨ feat(server.ts): add new model component OpenAIModelComponent to langflow_base 🚚 chore(main.py): update import path from langflow.main to langflow_base.main 🚚 chore(service.py): update import path from langflow.services.database.manager to langflow_base.services.database.manager 🚚 chore(factory.py): update import path from langflow.services to langflow_base.services 🚚 chore(service.py): update import path from langflow.services.plugins to langflow_base.services.plugins 🚚 chore(utils.py): update import path from langflow.services to langflow_base.services 🚚 chore(validate.py): update import path from langflow.field_typing to langflow_base.field_typing 🚚 chore(pyproject.toml): update langflow-base version from 0.0.8 to 0.0.10 * Update Makefile to install backend dependencies and build langflow * Add langflow main module and update __init__.py * Update langflow install process to use implicit namespace * Add langflow-base as a local dependency * Add setup_poetry target to Makefile * Update Poetry version and add poetry-monorepo-dependency-plugin * Refactor code to improve performance and readability * Update imports to custom and load * Update content-hash in poetry.lock --------- Co-authored-by: Matheus <jacquesmats@gmail.com> Co-authored-by: Gabriel Luiz Freitas Almeida <gabriel@logspace.ai>
This commit is contained in:
Matheus Jacques
GitHub
parent
9c0bad3883
commit
8172e62236
466 changed files with 5418 additions and 1144 deletions
4
.github/workflows/pre-release.yml
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4
.github/workflows/pre-release.yml
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@ -11,7 +11,7 @@ on:
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workflow_dispatch:
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env:
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POETRY_VERSION: "1.5.1"
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POETRY_VERSION: "1.8.2"
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jobs:
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if_release:
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@ -20,7 +20,7 @@ jobs:
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steps:
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- uses: actions/checkout@v4
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- name: Install poetry
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run: pipx install poetry==$POETRY_VERSION
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run: pipx install poetry==$POETRY_VERSION && poetry self add poetry-monorepo-dependency-plugin
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- name: Set up Python 3.10
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uses: actions/setup-python@v5
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with:
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4
.github/workflows/release.yml
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4
.github/workflows/release.yml
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@ -10,7 +10,7 @@ on:
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- "pyproject.toml"
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env:
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POETRY_VERSION: "1.5.1"
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POETRY_VERSION: "1.8.2"
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jobs:
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if_release:
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@ -19,7 +19,7 @@ jobs:
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steps:
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- uses: actions/checkout@v4
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- name: Install poetry
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run: pipx install poetry==$POETRY_VERSION
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run: pipx install poetry==$POETRY_VERSION && poetry self add poetry-monorepo-dependency-plugin
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- name: Set up Python 3.10
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uses: actions/setup-python@v5
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with:
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44
Makefile
44
Makefile
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@ -2,6 +2,10 @@
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all: help
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setup_poetry:
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pipx install poetry
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poetry self add poetry-monorepo-dependency-plugin
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init:
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@echo 'Installing backend dependencies'
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make install_backend
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@ -28,7 +32,7 @@ format:
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lint:
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make install_backend
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poetry run mypy src/backend/langflow
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poetry run mypy src/backend
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poetry run ruff . --fix
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install_frontend:
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@ -69,6 +73,7 @@ frontendc:
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install_backend:
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poetry install --extras deploy
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poetry run pip install -e src/backend/base/.
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backend:
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make install_backend
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@ -82,24 +87,35 @@ else
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endif
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build_and_run:
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echo 'Removing dist folder'
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@echo 'Removing dist folder'
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rm -rf dist
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make build && poetry run pip install dist/*.tar.gz && poetry run langflow run
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rm -rf src/backend/base/dist
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make build
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poetry run pip install dist/*.tar.gz && pip install src/backend/base/dist/*.tar.gz
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poetry run langflow run
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build_and_install:
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echo 'Removing dist folder'
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@echo 'Removing dist folder'
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rm -rf dist
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make build && poetry run pip install dist/*.tar.gz
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rm -rf src/backend/base/dist
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make build && poetry run pip install dist/*.tar.gz && pip install src/backend/base/dist/*.tar.gz
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build_frontend:
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cd src/frontend && CI='' npm run build
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cp -r src/frontend/build src/backend/langflow/frontend
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cp -r src/frontend/build src/backend/base/langflow/frontend
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build:
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make build_langflow_base
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make build_langflow
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build_langflow:
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poetry build-rewrite-path-deps --version-pinning-strategy=semver
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build_langflow_base:
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make install_frontend
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make build_frontend
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poetry build --format sdist
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rm -rf src/backend/langflow/frontend
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cd src/backend/base && poetry build-rewrite-path-deps --version-pinning-strategy=semver
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rm -rf src/backend/base/langflow/frontend
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dev:
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make install_frontend
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@ -111,10 +127,18 @@ else
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docker compose $(if $(debug),-f docker-compose.debug.yml) up
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endif
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publish:
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make build
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publish_base:
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make build_langflow_base
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cd src/backend/base && poetry publish
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publish_langflow:
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make build_langflow
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poetry publish
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publish:
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make publish_base
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make publish_langflow
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help:
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@echo '----'
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@echo 'format - run code formatters'
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@ -35,7 +35,7 @@ We will cover how to:
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<summary>Example Code</summary>
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```python
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from langflow import CustomComponent
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from langflow.custom import CustomComponent
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from langchain.schema import Document
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class FlowRunner(CustomComponent):
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@ -75,7 +75,7 @@ class FlowRunner(CustomComponent):
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<CH.Scrollycoding rows={20} className={""}>
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```python
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from langflow import CustomComponent
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from langflow.custom import CustomComponent
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class MyComponent(CustomComponent):
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@ -95,7 +95,7 @@ The typical structure of a Custom Component is composed of _`display_name`_ and
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---
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```python
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from langflow import CustomComponent
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from langflow.custom import CustomComponent
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# focus
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@ -118,7 +118,7 @@ Let's start by defining our component's _`display_name`_ and _`description`_.
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---
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```python
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from langflow import CustomComponent
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from langflow.custom import CustomComponent
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# focus
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from langchain.schema import Document
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@ -140,7 +140,7 @@ Second, we will import _`Document`_ from the [_langchain.schema_](https://docs.l
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---
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```python
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from langflow import CustomComponent
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from langflow.custom import CustomComponent
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# focus
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from langchain.schema import Document
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@ -167,7 +167,7 @@ Now, let's add the [parameters](focus://11[20:55]) and the [return type](focus:/
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---
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```python focus=13:14
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from langflow import CustomComponent
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from langflow.custom import CustomComponent
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from langchain.schema import Document
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@ -189,7 +189,7 @@ We can now start writing the _`build`_ method. Let's list available flows in "My
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---
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```python focus=15:18
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from langflow import CustomComponent
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from langflow.custom import CustomComponent
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from langchain.schema import Document
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@ -222,7 +222,7 @@ And retrieve a flow that matches the selected name (we'll make a dropdown input
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---
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```python
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from langflow import CustomComponent
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from langflow.custom import CustomComponent
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from langchain.schema import Document
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@ -250,7 +250,7 @@ You can load this flow using _`get_flow`_ and set a _`tweaks`_ dictionary to cus
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---
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```python
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from langflow import CustomComponent
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from langflow.custom import CustomComponent
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from langchain.schema import Document
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@ -287,7 +287,7 @@ The content of a document can be extracted using the _`page_content`_ attribute,
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---
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```python focus=9:16
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from langflow import CustomComponent
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from langflow.custom import CustomComponent
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from langchain.schema import Document
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@ -365,4 +365,6 @@ Done! This is what our script and custom component looks like:
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}}
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/>
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</div>
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</div>import ZoomableImage from "/src/theme/ZoomableImage.js";
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import Admonition from "@theme/Admonition";
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@ -30,7 +30,7 @@ Here is an example:
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<CH.Code linuNumbers={false}>
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```python
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from langflow import CustomComponent
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from langflow.custom import CustomComponent
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from langchain.schema import Document
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class DocumentProcessor(CustomComponent):
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@ -92,7 +92,7 @@ The Python script for every Custom Component should follow a set of rules. Let's
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The script must contain a **single class** that inherits from _`CustomComponent`_.
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```python
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from langflow import CustomComponent
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from langflow.custom import CustomComponent
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from langchain.schema import Document
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class MyComponent(CustomComponent):
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@ -113,7 +113,7 @@ class MyComponent(CustomComponent):
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This class requires a _`build`_ method used to run the component and define its fields.
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```python
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from langflow import CustomComponent
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from langflow.custom import CustomComponent
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from langchain.schema import Document
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class MyComponent(CustomComponent):
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@ -134,7 +134,7 @@ class MyComponent(CustomComponent):
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The [Return Type Annotation](https://docs.python.org/3/library/typing.html) of the _`build`_ method defines the component type (e.g., Chain, BaseLLM, or basic Python types). Check out all supported types in the [component reference](../components/custom).
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```python
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from langflow import CustomComponent
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from langflow.custom import CustomComponent
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from langchain.schema import Document
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class MyComponent(CustomComponent):
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@ -153,7 +153,7 @@ class MyComponent(CustomComponent):
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---
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```python
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from langflow import CustomComponent
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from langflow.custom import CustomComponent
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from langchain.schema import Document
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class MyComponent(CustomComponent):
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@ -179,7 +179,7 @@ Check out the [component reference](../components/custom) for more details on th
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---
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```python
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from langflow import CustomComponent
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from langflow.custom import CustomComponent
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from langchain.schema import Document
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class MyComponent(CustomComponent):
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@ -204,7 +204,7 @@ Let's create a custom component that processes a document (_`langchain.schema.Do
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To start, let's choose a name for our component by adding a _`display_name`_ attribute. This name will appear on the canvas. The name of the class is not relevant, but let's call it _`DocumentProcessor`_.
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```python
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from langflow import CustomComponent
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from langflow.custom import CustomComponent
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from langchain.schema import Document
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# focus
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@ -227,7 +227,7 @@ class DocumentProcessor(CustomComponent):
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We can also write a description for it using a _`description`_ attribute.
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```python
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from langflow import CustomComponent
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from langflow.custom import CustomComponent
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from langchain.schema import Document
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class DocumentProcessor(CustomComponent):
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@ -244,7 +244,7 @@ class DocumentProcessor(CustomComponent):
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---
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```python
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from langflow import CustomComponent
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from langflow.custom import CustomComponent
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from langchain.schema import Document
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class DocumentProcessor(CustomComponent):
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@ -287,7 +287,7 @@ The _`build_config`_ method is here defined to customize the component fields.
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- _`display_name`_ is the name of the field to be displayed.
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```python
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from langflow import CustomComponent
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from langflow.custom import CustomComponent
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from langchain.schema import Document
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class DocumentProcessor(CustomComponent):
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@ -406,4 +406,6 @@ Langflow will attempt to load all of the components found in the specified direc
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Once your custom components have been loaded successfully, they will appear in Langflow's sidebar. From there, you can add them to your Langflow canvas for use. However, please note that components with errors will not be available for addition to the canvas. Always ensure your code is error-free before attempting to load components.
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Remember, creating custom components allows you to extend the functionality of Langflow to better suit your unique needs. Happy coding!
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Remember, creating custom components allows you to extend the functionality of Langflow to better suit your unique needs. Happy coding!import ZoomableImage from "/src/theme/ZoomableImage.js";
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import Admonition from "@theme/Admonition";
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@ -49,7 +49,7 @@ The Code button shows snippets to use your flow as a Python object or an API.
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Through the Langflow package, you can load a flow from a JSON file and use it as a LangChain object.
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```py
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from langflow import load_flow_from_json
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from langflow.load import load_flow_from_json
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flow = load_flow_from_json("path/to/flow.json")
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# Now you can use it like any chain
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@ -66,4 +66,9 @@ The example below shows a Python script making a POST request to a local API end
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style={{ marginBottom: "20px", display: "flex", justifyContent: "center" }}
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>
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<ReactPlayer playing controls url="/videos/langflow_api.mp4" />
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</div>
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</div>import ThemedImage from "@theme/ThemedImage";
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import useBaseUrl from "@docusaurus/useBaseUrl";
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import ZoomableImage from "/src/theme/ZoomableImage.js";
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import ReactPlayer from "react-player";
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import Admonition from "@theme/Admonition";
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1748
docs/static/json_files/SearchApi_Tool.json
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1748
docs/static/json_files/SearchApi_Tool.json
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File diff suppressed because one or more lines are too long
216
poetry.lock
generated
216
poetry.lock
generated
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@ -3868,6 +3868,51 @@ files = [
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[package.dependencies]
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six = "*"
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[[package]]
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name = "langflow-base"
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version = "0.0.11"
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description = "A Python package with a built-in web application"
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optional = false
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python-versions = ">=3.9,<3.12"
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files = []
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develop = true
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[package.dependencies]
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alembic = "^1.13.0"
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bcrypt = "4.0.1"
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cachetools = "^5.3.1"
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docstring-parser = "^0.15"
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fastapi = "^0.109.0"
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gunicorn = "^21.2.0"
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httpx = "^0.24.0"
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langchain = "~0.1.0"
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langchain-experimental = "*"
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loguru = "^0.7.1"
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multiprocess = "^0.70.14"
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orjson = "3.9.15"
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pandas = "2.2.0"
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passlib = "^1.7.4"
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pillow = "^10.2.0"
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platformdirs = "^4.2.0"
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pydantic = "^2.5.0"
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pydantic-settings = "^2.1.0"
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python-jose = "^3.3.0"
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python-multipart = "^0.0.7"
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rich = "^13.7.0"
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sqlmodel = "^0.0.14"
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typer = "^0.9.0"
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uvicorn = "^0.27.0"
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websockets = "^10.3"
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[package.extras]
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all = []
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deploy = []
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local = []
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[package.source]
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type = "directory"
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url = "src/backend/base"
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[[package]]
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name = "langfuse"
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version = "2.21.1"
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@ -7011,24 +7056,6 @@ tomli = {version = ">=1", markers = "python_version < \"3.11\""}
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|||
[package.extras]
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testing = ["argcomplete", "attrs (>=19.2)", "hypothesis (>=3.56)", "mock", "pygments (>=2.7.2)", "requests", "setuptools", "xmlschema"]
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[[package]]
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name = "pytest-asyncio"
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||||
version = "0.23.6"
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||||
description = "Pytest support for asyncio"
|
||||
optional = false
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||||
python-versions = ">=3.8"
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||||
files = [
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||||
{file = "pytest-asyncio-0.23.6.tar.gz", hash = "sha256:ffe523a89c1c222598c76856e76852b787504ddb72dd5d9b6617ffa8aa2cde5f"},
|
||||
{file = "pytest_asyncio-0.23.6-py3-none-any.whl", hash = "sha256:68516fdd1018ac57b846c9846b954f0393b26f094764a28c955eabb0536a4e8a"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
pytest = ">=7.0.0,<9"
|
||||
|
||||
[package.extras]
|
||||
docs = ["sphinx (>=5.3)", "sphinx-rtd-theme (>=1.0)"]
|
||||
testing = ["coverage (>=6.2)", "hypothesis (>=5.7.1)"]
|
||||
|
||||
[[package]]
|
||||
name = "pytest-cov"
|
||||
version = "4.1.0"
|
||||
|
|
@ -7632,19 +7659,19 @@ full = ["numpy"]
|
|||
|
||||
[[package]]
|
||||
name = "realtime"
|
||||
version = "1.0.2"
|
||||
version = "1.0.0"
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description = ""
|
||||
optional = false
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|
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|
||||
[package.dependencies]
|
||||
python-dateutil = ">=2.8.1,<3.0.0"
|
||||
typing-extensions = ">=4.2.0,<5.0.0"
|
||||
websockets = ">=11.0,<12.0"
|
||||
websockets = ">=10.3,<11.0"
|
||||
|
||||
[[package]]
|
||||
name = "red-black-tree-mod"
|
||||
|
|
@ -9595,81 +9622,80 @@ test = ["websockets"]
|
|||
|
||||
[[package]]
|
||||
name = "websockets"
|
||||
version = "11.0.3"
|
||||
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|
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||||
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||||
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|
||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
{file = "websockets-10.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2fc8709c00704194213d45e455adc106ff9e87658297f72d544220e32029cd3d"},
|
||||
{file = "websockets-10.4-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:0154f7691e4fe6c2b2bc275b5701e8b158dae92a1ab229e2b940efe11905dff4"},
|
||||
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||||
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||||
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||||
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||||
{file = "websockets-10.4-cp39-cp39-win32.whl", hash = "sha256:c94ae4faf2d09f7c81847c63843f84fe47bf6253c9d60b20f25edfd30fb12588"},
|
||||
{file = "websockets-10.4-cp39-cp39-win_amd64.whl", hash = "sha256:bbccd847aa0c3a69b5f691a84d2341a4f8a629c6922558f2a70611305f902d74"},
|
||||
{file = "websockets-10.4-pp37-pypy37_pp73-macosx_10_9_x86_64.whl", hash = "sha256:82ff5e1cae4e855147fd57a2863376ed7454134c2bf49ec604dfe71e446e2193"},
|
||||
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||||
{file = "websockets-10.4-pp37-pypy37_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:942de28af58f352a6f588bc72490ae0f4ccd6dfc2bd3de5945b882a078e4e179"},
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||||
{file = "websockets-10.4-pp37-pypy37_pp73-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c9b27d6c1c6cd53dc93614967e9ce00ae7f864a2d9f99fe5ed86706e1ecbf485"},
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||||
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||||
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||||
{file = "websockets-10.4-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:389f8dbb5c489e305fb113ca1b6bdcdaa130923f77485db5b189de343a179393"},
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||||
{file = "websockets-10.4-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:09a1814bb15eff7069e51fed0826df0bc0702652b5cb8f87697d469d79c23576"},
|
||||
{file = "websockets-10.4-pp38-pypy38_pp73-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ff64a1d38d156d429404aaa84b27305e957fd10c30e5880d1765c9480bea490f"},
|
||||
{file = "websockets-10.4-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:b343f521b047493dc4022dd338fc6db9d9282658862756b4f6fd0e996c1380e1"},
|
||||
{file = "websockets-10.4-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:932af322458da7e4e35df32f050389e13d3d96b09d274b22a7aa1808f292fee4"},
|
||||
{file = "websockets-10.4-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d6a4162139374a49eb18ef5b2f4da1dd95c994588f5033d64e0bbfda4b6b6fcf"},
|
||||
{file = "websockets-10.4-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c57e4c1349fbe0e446c9fa7b19ed2f8a4417233b6984277cce392819123142d3"},
|
||||
{file = "websockets-10.4-pp39-pypy39_pp73-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b627c266f295de9dea86bd1112ed3d5fafb69a348af30a2422e16590a8ecba13"},
|
||||
{file = "websockets-10.4-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:05a7233089f8bd355e8cbe127c2e8ca0b4ea55467861906b80d2ebc7db4d6b72"},
|
||||
{file = "websockets-10.4.tar.gz", hash = "sha256:eef610b23933c54d5d921c92578ae5f89813438fded840c2e9809d378dc765d3"},
|
||||
]
|
||||
|
||||
[[package]]
|
||||
|
|
@ -10149,4 +10175,8 @@ local = ["ctransformers", "llama-cpp-python", "sentence-transformers"]
|
|||
[metadata]
|
||||
lock-version = "2.0"
|
||||
python-versions = ">=3.10,<3.12"
|
||||
<<<<<<< HEAD
|
||||
content-hash = "5c98ec89f0dbbf60bc4bbcb3d9ea4b84176b8af34b54dd3c77c817ba132b49a1"
|
||||
=======
|
||||
content-hash = "304eb96cfcbfb376af189b8eae989c0ce36b47555db476bd33d488c2217f484e"
|
||||
>>>>>>> origin/zustand/io/migration
|
||||
|
|
|
|||
|
|
@ -24,30 +24,24 @@ documentation = "https://docs.langflow.org"
|
|||
[tool.poetry.scripts]
|
||||
langflow = "langflow.__main__:main"
|
||||
|
||||
[tool.poetry-monorepo-dependency-plugin]
|
||||
enable = true
|
||||
|
||||
[tool.poetry.dependencies]
|
||||
|
||||
|
||||
python = ">=3.10,<3.12"
|
||||
langflow-base = { path = "./src/backend/base", develop = true }
|
||||
duckdb = "^0.9.2"
|
||||
fastapi = "^0.109.0"
|
||||
uvicorn = "^0.27.0"
|
||||
beautifulsoup4 = "^4.12.2"
|
||||
google-search-results = "^2.4.1"
|
||||
google-api-python-client = "^2.118.0"
|
||||
typer = "^0.9.0"
|
||||
gunicorn = "^21.2.0"
|
||||
langchain = "~0.1.0"
|
||||
openai = "^1.12.0"
|
||||
pandas = "2.2.0"
|
||||
chromadb = "^0.4.23"
|
||||
huggingface-hub = { version = "^0.20.0", extras = ["inference"] }
|
||||
rich = "^13.7.0"
|
||||
llama-cpp-python = { version = "~0.2.0", optional = true }
|
||||
networkx = "^3.1"
|
||||
pypdf = "^4.0.0"
|
||||
pysrt = "^1.1.2"
|
||||
fake-useragent = "^1.4.0"
|
||||
docstring-parser = "^0.15"
|
||||
psycopg2-binary = "^2.9.6"
|
||||
pyarrow = "^14.0.0"
|
||||
wikipedia = "^1.4.0"
|
||||
|
|
@ -56,15 +50,9 @@ weaviate-client = "*"
|
|||
sentence-transformers = { version = "^2.3.1", optional = true }
|
||||
ctransformers = { version = "^0.2.10", optional = true }
|
||||
cohere = "^4.47.0"
|
||||
python-multipart = "^0.0.7"
|
||||
sqlmodel = "^0.0.14"
|
||||
faiss-cpu = "^1.7.4"
|
||||
anthropic = "^0.21.0"
|
||||
orjson = "3.9.15"
|
||||
multiprocess = "^0.70.14"
|
||||
cachetools = "^5.3.1"
|
||||
types-cachetools = "^5.3.0.5"
|
||||
platformdirs = "^4.2.0"
|
||||
pinecone-client = "^3.0.3"
|
||||
pymongo = "^4.6.0"
|
||||
supabase = "^2.3.0"
|
||||
|
|
@ -72,22 +60,15 @@ certifi = "^2023.11.17"
|
|||
psycopg = "^3.1.9"
|
||||
psycopg-binary = "^3.1.9"
|
||||
fastavro = "^1.8.0"
|
||||
langchain-experimental = "*"
|
||||
celery = { extras = ["redis"], version = "^5.3.6", optional = true }
|
||||
redis = { version = "^5.0.1", optional = true }
|
||||
flower = { version = "^2.0.0", optional = true }
|
||||
alembic = "^1.13.0"
|
||||
passlib = "^1.7.4"
|
||||
bcrypt = "4.0.1"
|
||||
python-jose = "^3.3.0"
|
||||
metaphor-python = "^0.1.11"
|
||||
pydantic = "^2.5.0"
|
||||
pydantic-settings = "^2.1.0"
|
||||
zep-python = "*"
|
||||
pywin32 = { version = "^306", markers = "sys_platform == 'win32'" }
|
||||
loguru = "^0.7.1"
|
||||
langfuse = "^2.9.0"
|
||||
pillow = "^10.2.0"
|
||||
metal-sdk = "^2.5.0"
|
||||
markupsafe = "^2.1.3"
|
||||
extract-msg = "^0.47.0"
|
||||
|
|
@ -118,7 +99,6 @@ python-docx = "^1.1.0"
|
|||
langchain-astradb = "^0.1.0"
|
||||
|
||||
[tool.poetry.group.dev.dependencies]
|
||||
pytest-asyncio = "^0.23.1"
|
||||
types-redis = "^4.6.0.5"
|
||||
ipykernel = "^6.29.0"
|
||||
mypy = "^1.8.0"
|
||||
|
|
|
|||
348
src/backend/base/langflow/__main__.py
Normal file
348
src/backend/base/langflow/__main__.py
Normal file
|
|
@ -0,0 +1,348 @@
|
|||
import platform
|
||||
import socket
|
||||
import sys
|
||||
import time
|
||||
import webbrowser
|
||||
from pathlib import Path
|
||||
from typing import Optional
|
||||
|
||||
import httpx
|
||||
import typer
|
||||
from dotenv import load_dotenv
|
||||
from multiprocess import Process, cpu_count # type: ignore
|
||||
from rich import box
|
||||
from rich import print as rprint
|
||||
from rich.console import Console
|
||||
from rich.panel import Panel
|
||||
from rich.table import Table
|
||||
|
||||
from langflow.main import setup_app
|
||||
from langflow.services.database.utils import session_getter
|
||||
from langflow.services.deps import get_db_service, get_settings_service
|
||||
from langflow.services.utils import initialize_services, initialize_settings_service
|
||||
from langflow.utils.logger import configure, logger
|
||||
|
||||
console = Console()
|
||||
|
||||
app = typer.Typer(no_args_is_help=True)
|
||||
|
||||
|
||||
def get_number_of_workers(workers=None):
|
||||
if workers == -1 or workers is None:
|
||||
workers = (cpu_count() * 2) + 1
|
||||
logger.debug(f"Number of workers: {workers}")
|
||||
return workers
|
||||
|
||||
|
||||
def display_results(results):
|
||||
"""
|
||||
Display the results of the migration.
|
||||
"""
|
||||
for table_results in results:
|
||||
table = Table(title=f"Migration {table_results.table_name}")
|
||||
table.add_column("Name")
|
||||
table.add_column("Type")
|
||||
table.add_column("Status")
|
||||
|
||||
for result in table_results.results:
|
||||
status = "Success" if result.success else "Failure"
|
||||
color = "green" if result.success else "red"
|
||||
table.add_row(result.name, result.type, f"[{color}]{status}[/{color}]")
|
||||
|
||||
console.print(table)
|
||||
console.print() # Print a new line
|
||||
|
||||
|
||||
def set_var_for_macos_issue():
|
||||
# OBJC_DISABLE_INITIALIZE_FORK_SAFETY=YES
|
||||
# we need to set this var is we are running on MacOS
|
||||
# otherwise we get an error when running gunicorn
|
||||
|
||||
if platform.system() in ["Darwin"]:
|
||||
import os
|
||||
|
||||
os.environ["OBJC_DISABLE_INITIALIZE_FORK_SAFETY"] = "YES"
|
||||
# https://stackoverflow.com/questions/75747888/uwsgi-segmentation-fault-with-flask-python-app-behind-nginx-after-running-for-2 # noqa
|
||||
os.environ["no_proxy"] = "*" # to avoid error with gunicorn
|
||||
logger.debug("Set OBJC_DISABLE_INITIALIZE_FORK_SAFETY to YES to avoid error")
|
||||
|
||||
|
||||
def update_settings(
|
||||
config: str,
|
||||
cache: Optional[str] = None,
|
||||
dev: bool = False,
|
||||
remove_api_keys: bool = False,
|
||||
components_path: Optional[Path] = None,
|
||||
store: bool = True,
|
||||
):
|
||||
"""Update the settings from a config file."""
|
||||
|
||||
# Check for database_url in the environment variables
|
||||
initialize_settings_service()
|
||||
settings_service = get_settings_service()
|
||||
if config:
|
||||
logger.debug(f"Loading settings from {config}")
|
||||
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_service.settings.update_settings(REMOVE_API_KEYS=remove_api_keys)
|
||||
if cache:
|
||||
logger.debug(f"Setting cache to {cache}")
|
||||
settings_service.settings.update_settings(CACHE=cache)
|
||||
if components_path:
|
||||
logger.debug(f"Adding component path {components_path}")
|
||||
settings_service.settings.update_settings(COMPONENTS_PATH=components_path)
|
||||
if not store:
|
||||
logger.debug("Setting store to False")
|
||||
settings_service.settings.update_settings(STORE=False)
|
||||
|
||||
|
||||
@app.command()
|
||||
def run(
|
||||
host: str = typer.Option("127.0.0.1", help="Host to bind the server to.", envvar="LANGFLOW_HOST"),
|
||||
workers: int = typer.Option(1, help="Number of worker processes.", envvar="LANGFLOW_WORKERS"),
|
||||
timeout: int = typer.Option(300, help="Worker timeout in seconds."),
|
||||
port: int = typer.Option(7860, help="Port to listen on.", envvar="LANGFLOW_PORT"),
|
||||
components_path: Optional[Path] = typer.Option(
|
||||
Path(__file__).parent / "components",
|
||||
help="Path to the directory containing custom components.",
|
||||
envvar="LANGFLOW_COMPONENTS_PATH",
|
||||
),
|
||||
config: str = typer.Option(Path(__file__).parent / "config.yaml", help="Path to the configuration file."),
|
||||
# .env file param
|
||||
env_file: Path = typer.Option(None, help="Path to the .env file containing environment variables."),
|
||||
log_level: str = typer.Option("critical", help="Logging level.", envvar="LANGFLOW_LOG_LEVEL"),
|
||||
log_file: Path = typer.Option("logs/langflow.log", help="Path to the log file.", envvar="LANGFLOW_LOG_FILE"),
|
||||
cache: Optional[str] = typer.Option(
|
||||
envvar="LANGFLOW_LANGCHAIN_CACHE",
|
||||
help="Type of cache to use. (InMemoryCache, SQLiteCache)",
|
||||
default=None,
|
||||
),
|
||||
dev: bool = typer.Option(False, help="Run in development mode (may contain bugs)"),
|
||||
path: str = typer.Option(
|
||||
None,
|
||||
help="Path to the frontend directory containing build files. This is for development purposes only.",
|
||||
envvar="LANGFLOW_FRONTEND_PATH",
|
||||
),
|
||||
open_browser: bool = typer.Option(
|
||||
True,
|
||||
help="Open the browser after starting the server.",
|
||||
envvar="LANGFLOW_OPEN_BROWSER",
|
||||
),
|
||||
remove_api_keys: bool = typer.Option(
|
||||
False,
|
||||
help="Remove API keys from the projects saved in the database.",
|
||||
envvar="LANGFLOW_REMOVE_API_KEYS",
|
||||
),
|
||||
backend_only: bool = typer.Option(
|
||||
False,
|
||||
help="Run only the backend server without the frontend.",
|
||||
envvar="LANGFLOW_BACKEND_ONLY",
|
||||
),
|
||||
store: bool = typer.Option(
|
||||
True,
|
||||
help="Enables the store features.",
|
||||
envvar="LANGFLOW_STORE",
|
||||
),
|
||||
):
|
||||
"""
|
||||
Run the Langflow.
|
||||
"""
|
||||
|
||||
set_var_for_macos_issue()
|
||||
# override env variables with .env file
|
||||
|
||||
if env_file:
|
||||
load_dotenv(env_file, override=True)
|
||||
|
||||
configure(log_level=log_level, log_file=log_file)
|
||||
update_settings(
|
||||
config,
|
||||
dev=dev,
|
||||
remove_api_keys=remove_api_keys,
|
||||
cache=cache,
|
||||
components_path=components_path,
|
||||
store=store,
|
||||
)
|
||||
# create path object if path is provided
|
||||
static_files_dir: Optional[Path] = Path(path) if path else None
|
||||
app = setup_app(static_files_dir=static_files_dir, backend_only=backend_only)
|
||||
# check if port is being used
|
||||
if is_port_in_use(port, host):
|
||||
port = get_free_port(port)
|
||||
|
||||
options = {
|
||||
"bind": f"{host}:{port}",
|
||||
"workers": get_number_of_workers(workers),
|
||||
"timeout": timeout,
|
||||
}
|
||||
|
||||
# Define an env variable to know if we are just testing the server
|
||||
if "pytest" in sys.modules:
|
||||
return
|
||||
|
||||
if platform.system() in ["Windows"]:
|
||||
# Run using uvicorn on MacOS and Windows
|
||||
# Windows doesn't support gunicorn
|
||||
# MacOS requires an env variable to be set to use gunicorn
|
||||
run_on_windows(host, port, log_level, options, app)
|
||||
else:
|
||||
# Run using gunicorn on Linux
|
||||
run_on_mac_or_linux(host, port, log_level, options, app, open_browser)
|
||||
|
||||
|
||||
def run_on_mac_or_linux(host, port, log_level, options, app, open_browser=True):
|
||||
webapp_process = Process(target=run_langflow, args=(host, port, log_level, options, app))
|
||||
webapp_process.start()
|
||||
status_code = 0
|
||||
while status_code != 200:
|
||||
try:
|
||||
status_code = httpx.get(f"http://{host}:{port}/health").status_code
|
||||
|
||||
except Exception:
|
||||
time.sleep(1)
|
||||
|
||||
print_banner(host, port)
|
||||
if open_browser:
|
||||
webbrowser.open(f"http://{host}:{port}")
|
||||
|
||||
|
||||
def run_on_windows(host, port, log_level, options, app):
|
||||
"""
|
||||
Run the Langflow server on Windows.
|
||||
"""
|
||||
print_banner(host, port)
|
||||
run_langflow(host, port, log_level, options, app)
|
||||
|
||||
|
||||
def is_port_in_use(port, host="localhost"):
|
||||
"""
|
||||
Check if a port is in use.
|
||||
|
||||
Args:
|
||||
port (int): The port number to check.
|
||||
host (str): The host to check the port on. Defaults to 'localhost'.
|
||||
|
||||
Returns:
|
||||
bool: True if the port is in use, False otherwise.
|
||||
"""
|
||||
with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s:
|
||||
return s.connect_ex((host, port)) == 0
|
||||
|
||||
|
||||
def get_free_port(port):
|
||||
"""
|
||||
Given a used port, find a free port.
|
||||
|
||||
Args:
|
||||
port (int): The port number to check.
|
||||
|
||||
Returns:
|
||||
int: A free port number.
|
||||
"""
|
||||
while is_port_in_use(port):
|
||||
port += 1
|
||||
return port
|
||||
|
||||
|
||||
def print_banner(host, port):
|
||||
# console = Console()
|
||||
|
||||
word = "Langflow"
|
||||
colors = ["#3300cc"]
|
||||
|
||||
styled_word = ""
|
||||
|
||||
for i, char in enumerate(word):
|
||||
color = colors[i % len(colors)]
|
||||
styled_word += f"[{color}]{char}[/]"
|
||||
|
||||
# Title with emojis and gradient text
|
||||
title = (
|
||||
f"[bold]Welcome to :chains: {styled_word} [/bold]\n\n"
|
||||
f"Access [link=http://{host}:{port}]http://{host}:{port}[/link]"
|
||||
)
|
||||
info_text = (
|
||||
"Collaborate, and contribute at our "
|
||||
"[bold][link=https://github.com/logspace-ai/langflow]GitHub Repo[/link][/bold] :rocket:"
|
||||
)
|
||||
|
||||
# Create a panel with the title and the info text, and a border around it
|
||||
panel = Panel(f"{title}\n{info_text}", box=box.ROUNDED, border_style="blue", expand=False)
|
||||
|
||||
# Print the banner with a separator line before and after
|
||||
rprint(panel)
|
||||
|
||||
|
||||
def run_langflow(host, port, log_level, options, app):
|
||||
"""
|
||||
Run Langflow server on localhost
|
||||
"""
|
||||
try:
|
||||
if platform.system() in ["Windows"]:
|
||||
# Run using uvicorn on MacOS and Windows
|
||||
# Windows doesn't support gunicorn
|
||||
# MacOS requires an env variable to be set to use gunicorn
|
||||
import uvicorn
|
||||
|
||||
uvicorn.run(app, host=host, port=port, log_level=log_level)
|
||||
else:
|
||||
from langflow.server import LangflowApplication
|
||||
|
||||
LangflowApplication(app, options).run()
|
||||
except KeyboardInterrupt:
|
||||
pass
|
||||
except Exception as e:
|
||||
logger.exception(e)
|
||||
sys.exit(1)
|
||||
|
||||
|
||||
@app.command()
|
||||
def superuser(
|
||||
username: str = typer.Option(..., prompt=True, help="Username for the superuser."),
|
||||
password: str = typer.Option(..., prompt=True, hide_input=True, help="Password for the superuser."),
|
||||
log_level: str = typer.Option("critical", help="Logging level.", envvar="LANGFLOW_LOG_LEVEL"),
|
||||
):
|
||||
"""
|
||||
Create a superuser.
|
||||
"""
|
||||
configure(log_level=log_level)
|
||||
initialize_services()
|
||||
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):
|
||||
# Verify that the superuser was created
|
||||
from langflow.services.database.models.user.model import User
|
||||
|
||||
user: User = session.query(User).filter(User.username == username).first()
|
||||
if user is None or not user.is_superuser:
|
||||
typer.echo("Superuser creation failed.")
|
||||
return
|
||||
|
||||
typer.echo("Superuser created successfully.")
|
||||
|
||||
else:
|
||||
typer.echo("Superuser creation failed.")
|
||||
|
||||
|
||||
@app.command()
|
||||
def migration(test: bool = typer.Option(True, help="Run migrations in test mode.")):
|
||||
"""
|
||||
Run or test migrations.
|
||||
"""
|
||||
initialize_services()
|
||||
db_service = get_db_service()
|
||||
if not test:
|
||||
db_service.run_migrations()
|
||||
results = db_service.run_migrations_test()
|
||||
display_results(results)
|
||||
|
||||
|
||||
def main():
|
||||
app()
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
|
|
@ -66,14 +66,10 @@ def run_migrations_online() -> None:
|
|||
try:
|
||||
from langflow.services.database.factory import DatabaseServiceFactory
|
||||
from langflow.services.deps import get_db_service
|
||||
from langflow.services.manager import (initialize_settings_service,
|
||||
service_manager)
|
||||
from langflow.services.schema import ServiceType
|
||||
from langflow.services.manager import initialize_settings_service, service_manager
|
||||
|
||||
initialize_settings_service()
|
||||
service_manager.register_factory(
|
||||
DatabaseServiceFactory()
|
||||
)
|
||||
service_manager.register_factory(DatabaseServiceFactory())
|
||||
connectable = get_db_service().engine
|
||||
except Exception as e:
|
||||
logger.error(f"Error getting database engine: {e}")
|
||||
|
|
@ -87,9 +83,7 @@ def run_migrations_online() -> None:
|
|||
poolclass=pool.NullPool,
|
||||
)
|
||||
with connectable.connect() as connection:
|
||||
context.configure(
|
||||
connection=connection, target_metadata=target_metadata, render_as_batch=True
|
||||
)
|
||||
context.configure(connection=connection, target_metadata=target_metadata, render_as_batch=True)
|
||||
|
||||
with context.begin_transaction():
|
||||
context.run_migrations()
|
||||
|
|
@ -26,20 +26,13 @@ def upgrade() -> None:
|
|||
flow_constraints = inspector.get_unique_constraints("flow")
|
||||
user_constraints = inspector.get_unique_constraints("user")
|
||||
try:
|
||||
if not any(
|
||||
constraint["name"] == "uq_apikey_id" for constraint in api_key_constraints
|
||||
):
|
||||
if not any(constraint["name"] == "uq_apikey_id" for constraint in api_key_constraints):
|
||||
with op.batch_alter_table("apikey", schema=None) as batch_op:
|
||||
|
||||
batch_op.create_unique_constraint("uq_apikey_id", ["id"])
|
||||
if not any(
|
||||
constraint["name"] == "uq_flow_id" for constraint in flow_constraints
|
||||
):
|
||||
if not any(constraint["name"] == "uq_flow_id" for constraint in flow_constraints):
|
||||
with op.batch_alter_table("flow", schema=None) as batch_op:
|
||||
batch_op.create_unique_constraint("uq_flow_id", ["id"])
|
||||
if not any(
|
||||
constraint["name"] == "uq_user_id" for constraint in user_constraints
|
||||
):
|
||||
if not any(constraint["name"] == "uq_user_id" for constraint in user_constraints):
|
||||
with op.batch_alter_table("user", schema=None) as batch_op:
|
||||
batch_op.create_unique_constraint("uq_user_id", ["id"])
|
||||
except Exception as e:
|
||||
|
|
@ -57,16 +50,13 @@ def downgrade() -> None:
|
|||
flow_constraints = inspector.get_unique_constraints("flow")
|
||||
user_constraints = inspector.get_unique_constraints("user")
|
||||
try:
|
||||
if any(
|
||||
constraint["name"] == "uq_apikey_id" for constraint in api_key_constraints
|
||||
):
|
||||
if any(constraint["name"] == "uq_apikey_id" for constraint in api_key_constraints):
|
||||
with op.batch_alter_table("user", schema=None) as batch_op:
|
||||
batch_op.drop_constraint("uq_user_id", type_="unique")
|
||||
if any(constraint["name"] == "uq_flow_id" for constraint in flow_constraints):
|
||||
with op.batch_alter_table("flow", schema=None) as batch_op:
|
||||
batch_op.drop_constraint("uq_flow_id", type_="unique")
|
||||
if any(constraint["name"] == "uq_user_id" for constraint in user_constraints):
|
||||
|
||||
with op.batch_alter_table("apikey", schema=None) as batch_op:
|
||||
batch_op.drop_constraint("uq_apikey_id", type_="unique")
|
||||
except Exception as e:
|
||||
|
|
@ -24,10 +24,8 @@ def upgrade() -> None:
|
|||
# ### commands auto generated by Alembic - please adjust! ###
|
||||
try:
|
||||
with op.batch_alter_table("apikey", schema=None) as batch_op:
|
||||
batch_op.alter_column(
|
||||
"name", existing_type=sqlmodel.sql.sqltypes.AutoString(), nullable=True
|
||||
)
|
||||
except Exception as e:
|
||||
batch_op.alter_column("name", existing_type=sqlmodel.sql.sqltypes.AutoString(), nullable=True)
|
||||
except Exception:
|
||||
pass
|
||||
# ### end Alembic commands ###
|
||||
|
||||
|
|
@ -37,6 +35,6 @@ def downgrade() -> None:
|
|||
try:
|
||||
with op.batch_alter_table("apikey", schema=None) as batch_op:
|
||||
batch_op.alter_column("name", existing_type=sa.VARCHAR(), nullable=False)
|
||||
except Exception as e:
|
||||
except Exception:
|
||||
pass
|
||||
# ### end Alembic commands ###
|
||||
|
|
@ -31,23 +31,16 @@ def upgrade() -> None:
|
|||
# and other related indices
|
||||
if "flowstyle" in existing_tables:
|
||||
op.drop_table("flowstyle")
|
||||
if "ix_flowstyle_flow_id" in [
|
||||
index["name"] for index in inspector.get_indexes("flowstyle")
|
||||
]:
|
||||
op.drop_index(
|
||||
"ix_flowstyle_flow_id", table_name="flowstyle", if_exists=True
|
||||
)
|
||||
if "ix_flowstyle_flow_id" in [index["name"] for index in inspector.get_indexes("flowstyle")]:
|
||||
op.drop_index("ix_flowstyle_flow_id", table_name="flowstyle", if_exists=True)
|
||||
|
||||
existing_indices_flow = []
|
||||
existing_fks_flow = []
|
||||
if "flow" in existing_tables:
|
||||
existing_indices_flow = [
|
||||
index["name"] for index in inspector.get_indexes("flow")
|
||||
]
|
||||
existing_indices_flow = [index["name"] for index in inspector.get_indexes("flow")]
|
||||
# Existing foreign keys for the 'flow' table, if it exists
|
||||
existing_fks_flow = [
|
||||
fk["referred_table"] + "." + fk["referred_columns"][0]
|
||||
for fk in inspector.get_foreign_keys("flow")
|
||||
fk["referred_table"] + "." + fk["referred_columns"][0] for fk in inspector.get_foreign_keys("flow")
|
||||
]
|
||||
# Now check if the columns user_id exists in the 'flow' table
|
||||
# If it does not exist, we need to create the foreign key
|
||||
|
|
@ -67,9 +60,7 @@ def upgrade() -> None:
|
|||
sa.UniqueConstraint("id", name="uq_user_id"),
|
||||
)
|
||||
with op.batch_alter_table("user", schema=None) as batch_op:
|
||||
batch_op.create_index(
|
||||
batch_op.f("ix_user_username"), ["username"], unique=True
|
||||
)
|
||||
batch_op.create_index(batch_op.f("ix_user_username"), ["username"], unique=True)
|
||||
|
||||
if "apikey" not in existing_tables:
|
||||
op.create_table(
|
||||
|
|
@ -82,20 +73,14 @@ def upgrade() -> None:
|
|||
sa.Column("id", sqlmodel.sql.sqltypes.GUID(), nullable=False),
|
||||
sa.Column("api_key", sqlmodel.sql.sqltypes.AutoString(), nullable=False),
|
||||
sa.Column("user_id", sqlmodel.sql.sqltypes.GUID(), nullable=False),
|
||||
sa.ForeignKeyConstraint(
|
||||
["user_id"], ["user.id"], name="fk_apikey_user_id_user"
|
||||
),
|
||||
sa.ForeignKeyConstraint(["user_id"], ["user.id"], name="fk_apikey_user_id_user"),
|
||||
sa.PrimaryKeyConstraint("id", name="pk_apikey"),
|
||||
sa.UniqueConstraint("id", name="uq_apikey_id"),
|
||||
)
|
||||
with op.batch_alter_table("apikey", schema=None) as batch_op:
|
||||
batch_op.create_index(
|
||||
batch_op.f("ix_apikey_api_key"), ["api_key"], unique=True
|
||||
)
|
||||
batch_op.create_index(batch_op.f("ix_apikey_api_key"), ["api_key"], unique=True)
|
||||
batch_op.create_index(batch_op.f("ix_apikey_name"), ["name"], unique=False)
|
||||
batch_op.create_index(
|
||||
batch_op.f("ix_apikey_user_id"), ["user_id"], unique=False
|
||||
)
|
||||
batch_op.create_index(batch_op.f("ix_apikey_user_id"), ["user_id"], unique=False)
|
||||
if "flow" not in existing_tables:
|
||||
op.create_table(
|
||||
"flow",
|
||||
|
|
@ -104,9 +89,7 @@ def upgrade() -> None:
|
|||
sa.Column("description", sqlmodel.sql.sqltypes.AutoString(), nullable=True),
|
||||
sa.Column("id", sqlmodel.sql.sqltypes.GUID(), nullable=False),
|
||||
sa.Column("user_id", sqlmodel.sql.sqltypes.GUID(), nullable=False),
|
||||
sa.ForeignKeyConstraint(
|
||||
["user_id"], ["user.id"], name="fk_flow_user_id_user"
|
||||
),
|
||||
sa.ForeignKeyConstraint(["user_id"], ["user.id"], name="fk_flow_user_id_user"),
|
||||
sa.PrimaryKeyConstraint("id", name="pk_flow"),
|
||||
sa.UniqueConstraint("id", name="uq_flow_id"),
|
||||
)
|
||||
|
|
@ -129,16 +112,12 @@ def upgrade() -> None:
|
|||
if "user.id" not in existing_fks_flow:
|
||||
batch_op.create_foreign_key("fk_flow_user_id", "user", ["user_id"], ["id"])
|
||||
if "ix_flow_description" not in existing_indices_flow:
|
||||
batch_op.create_index(
|
||||
batch_op.f("ix_flow_description"), ["description"], unique=False
|
||||
)
|
||||
batch_op.create_index(batch_op.f("ix_flow_description"), ["description"], unique=False)
|
||||
if "ix_flow_name" not in existing_indices_flow:
|
||||
batch_op.create_index(batch_op.f("ix_flow_name"), ["name"], unique=False)
|
||||
with op.batch_alter_table("flow", schema=None) as batch_op:
|
||||
if "ix_flow_user_id" not in existing_indices_flow:
|
||||
batch_op.create_index(
|
||||
batch_op.f("ix_flow_user_id"), ["user_id"], unique=False
|
||||
)
|
||||
batch_op.create_index(batch_op.f("ix_flow_user_id"), ["user_id"], unique=False)
|
||||
|
||||
# ### end Alembic commands ###
|
||||
|
||||
|
|
@ -31,9 +31,7 @@ def upgrade() -> None:
|
|||
"credential",
|
||||
sa.Column("name", sqlmodel.sql.sqltypes.AutoString(), nullable=True),
|
||||
sa.Column("value", sqlmodel.sql.sqltypes.AutoString(), nullable=True),
|
||||
sa.Column(
|
||||
"provider", sqlmodel.sql.sqltypes.AutoString(), nullable=True
|
||||
),
|
||||
sa.Column("provider", sqlmodel.sql.sqltypes.AutoString(), nullable=True),
|
||||
sa.Column("user_id", sqlmodel.sql.sqltypes.GUID(), nullable=False),
|
||||
sa.Column("id", sqlmodel.sql.sqltypes.GUID(), nullable=False),
|
||||
sa.Column("created_at", sa.DateTime(), nullable=False),
|
||||
|
|
@ -23,20 +23,14 @@ depends_on: Union[str, Sequence[str], None] = None
|
|||
def upgrade() -> None:
|
||||
conn = op.get_bind()
|
||||
inspector = Inspector.from_engine(conn) # type: ignore
|
||||
table_names = inspector.get_table_names()
|
||||
table_names = inspector.get_table_names() # noqa
|
||||
column_names = [column["name"] for column in inspector.get_columns("flow")]
|
||||
# ### commands auto generated by Alembic - please adjust! ###
|
||||
with op.batch_alter_table("flow", schema=None) as batch_op:
|
||||
if "icon" not in column_names:
|
||||
batch_op.add_column(
|
||||
sa.Column("icon", sqlmodel.sql.sqltypes.AutoString(), nullable=True)
|
||||
)
|
||||
batch_op.add_column(sa.Column("icon", sqlmodel.sql.sqltypes.AutoString(), nullable=True))
|
||||
if "icon_bg_color" not in column_names:
|
||||
batch_op.add_column(
|
||||
sa.Column(
|
||||
"icon_bg_color", sqlmodel.sql.sqltypes.AutoString(), nullable=True
|
||||
)
|
||||
)
|
||||
batch_op.add_column(sa.Column("icon_bg_color", sqlmodel.sql.sqltypes.AutoString(), nullable=True))
|
||||
|
||||
# ### end Alembic commands ###
|
||||
|
||||
|
|
@ -44,7 +38,7 @@ def upgrade() -> None:
|
|||
def downgrade() -> None:
|
||||
conn = op.get_bind()
|
||||
inspector = Inspector.from_engine(conn) # type: ignore
|
||||
table_names = inspector.get_table_names()
|
||||
table_names = inspector.get_table_names() # noqa
|
||||
column_names = [column["name"] for column in inspector.get_columns("flow")]
|
||||
# ### commands auto generated by Alembic - please adjust! ###
|
||||
with op.batch_alter_table("flow", schema=None) as batch_op:
|
||||
|
|
@ -29,18 +29,14 @@ def upgrade() -> None:
|
|||
try:
|
||||
if "is_component" not in flow_columns:
|
||||
with op.batch_alter_table("flow", schema=None) as batch_op:
|
||||
batch_op.add_column(
|
||||
sa.Column("is_component", sa.Boolean(), nullable=True)
|
||||
)
|
||||
except Exception as e:
|
||||
batch_op.add_column(sa.Column("is_component", sa.Boolean(), nullable=True))
|
||||
except Exception:
|
||||
pass
|
||||
try:
|
||||
if "store_api_key" not in user_columns:
|
||||
with op.batch_alter_table("user", schema=None) as batch_op:
|
||||
batch_op.add_column(
|
||||
sa.Column("store_api_key", sqlmodel.AutoString(), nullable=True)
|
||||
)
|
||||
except Exception as e:
|
||||
batch_op.add_column(sa.Column("store_api_key", sqlmodel.AutoString(), nullable=True))
|
||||
except Exception:
|
||||
pass
|
||||
# ### end Alembic commands ###
|
||||
|
||||
|
|
@ -30,9 +30,7 @@ def upgrade() -> None:
|
|||
try:
|
||||
if "name" in api_key_columns:
|
||||
with op.batch_alter_table("apikey", schema=None) as batch_op:
|
||||
batch_op.alter_column(
|
||||
"name", existing_type=sa.VARCHAR(), nullable=False
|
||||
)
|
||||
batch_op.alter_column("name", existing_type=sa.VARCHAR(), nullable=False)
|
||||
except Exception as e:
|
||||
print(e)
|
||||
|
||||
|
|
@ -40,15 +38,9 @@ def upgrade() -> None:
|
|||
try:
|
||||
with op.batch_alter_table("flow", schema=None) as batch_op:
|
||||
if "updated_at" not in flow_columns:
|
||||
batch_op.add_column(
|
||||
sa.Column("updated_at", sa.DateTime(), nullable=True)
|
||||
)
|
||||
batch_op.add_column(sa.Column("updated_at", sa.DateTime(), nullable=True))
|
||||
if "folder" not in flow_columns:
|
||||
batch_op.add_column(
|
||||
sa.Column(
|
||||
"folder", sqlmodel.sql.sqltypes.AutoString(), nullable=True
|
||||
)
|
||||
)
|
||||
batch_op.add_column(sa.Column("folder", sqlmodel.sql.sqltypes.AutoString(), nullable=True))
|
||||
except Exception as e:
|
||||
print(e)
|
||||
|
||||
|
|
@ -68,7 +60,6 @@ def downgrade() -> None:
|
|||
pass
|
||||
|
||||
try:
|
||||
|
||||
with op.batch_alter_table("apikey", schema=None) as batch_op:
|
||||
batch_op.alter_column("name", existing_type=sa.VARCHAR(), nullable=True)
|
||||
except Exception as e:
|
||||
|
|
@ -32,33 +32,19 @@ def upgrade() -> None:
|
|||
with op.batch_alter_table("flow", schema=None) as batch_op:
|
||||
flow_columns = [column["name"] for column in inspector.get_columns("flow")]
|
||||
if "is_component" not in flow_columns:
|
||||
batch_op.add_column(
|
||||
sa.Column("is_component", sa.Boolean(), nullable=True)
|
||||
)
|
||||
batch_op.add_column(sa.Column("is_component", sa.Boolean(), nullable=True))
|
||||
if "updated_at" not in flow_columns:
|
||||
batch_op.add_column(
|
||||
sa.Column("updated_at", sa.DateTime(), nullable=True)
|
||||
)
|
||||
batch_op.add_column(sa.Column("updated_at", sa.DateTime(), nullable=True))
|
||||
if "folder" not in flow_columns:
|
||||
batch_op.add_column(
|
||||
sa.Column(
|
||||
"folder", sqlmodel.sql.sqltypes.AutoString(), nullable=True
|
||||
)
|
||||
)
|
||||
batch_op.add_column(sa.Column("folder", sqlmodel.sql.sqltypes.AutoString(), nullable=True))
|
||||
if "user_id" not in flow_columns:
|
||||
batch_op.add_column(
|
||||
sa.Column("user_id", sqlmodel.sql.sqltypes.GUID(), nullable=True)
|
||||
)
|
||||
batch_op.add_column(sa.Column("user_id", sqlmodel.sql.sqltypes.GUID(), nullable=True))
|
||||
indices = inspector.get_indexes("flow")
|
||||
indices_names = [index["name"] for index in indices]
|
||||
if "ix_flow_user_id" not in indices_names:
|
||||
batch_op.create_index(
|
||||
batch_op.f("ix_flow_user_id"), ["user_id"], unique=False
|
||||
)
|
||||
batch_op.create_index(batch_op.f("ix_flow_user_id"), ["user_id"], unique=False)
|
||||
if "fk_flow_user_id_user" not in indices_names:
|
||||
batch_op.create_foreign_key(
|
||||
"fk_flow_user_id_user", "user", ["user_id"], ["id"]
|
||||
)
|
||||
batch_op.create_foreign_key("fk_flow_user_id_user", "user", ["user_id"], ["id"])
|
||||
|
||||
except Exception:
|
||||
pass
|
||||
|
|
@ -33,21 +33,13 @@ def upgrade() -> None:
|
|||
if "updated_at" not in flow_columns:
|
||||
batch_op.add_column(sa.Column("updated_at", sa.DateTime(), nullable=True))
|
||||
if "folder" not in flow_columns:
|
||||
batch_op.add_column(
|
||||
sa.Column("folder", sqlmodel.sql.sqltypes.AutoString(), nullable=True)
|
||||
)
|
||||
batch_op.add_column(sa.Column("folder", sqlmodel.sql.sqltypes.AutoString(), nullable=True))
|
||||
if "user_id" not in flow_columns:
|
||||
batch_op.add_column(
|
||||
sa.Column("user_id", sqlmodel.sql.sqltypes.GUID(), nullable=True)
|
||||
)
|
||||
batch_op.add_column(sa.Column("user_id", sqlmodel.sql.sqltypes.GUID(), nullable=True))
|
||||
if "ix_flow_user_id" not in flow_indexes:
|
||||
batch_op.create_index(
|
||||
batch_op.f("ix_flow_user_id"), ["user_id"], unique=False
|
||||
)
|
||||
batch_op.create_index(batch_op.f("ix_flow_user_id"), ["user_id"], unique=False)
|
||||
if "flow_user_id_fkey" not in flow_fks:
|
||||
batch_op.create_foreign_key(
|
||||
"flow_user_id_fkey", "user", ["user_id"], ["id"]
|
||||
)
|
||||
batch_op.create_foreign_key("flow_user_id_fkey", "user", ["user_id"], ["id"])
|
||||
|
||||
|
||||
def downgrade() -> None:
|
||||
|
|
@ -19,7 +19,7 @@ depends_on: Union[str, Sequence[str], None] = None
|
|||
|
||||
def upgrade() -> None:
|
||||
# ### commands auto generated by Alembic - please adjust! ###
|
||||
connection = op.get_bind()
|
||||
connection = op.get_bind() # noqa
|
||||
|
||||
pass
|
||||
# ### end Alembic commands ###
|
||||
|
|
@ -22,9 +22,7 @@ def upgrade() -> None:
|
|||
# ### commands auto generated by Alembic - please adjust! ###
|
||||
try:
|
||||
with op.batch_alter_table("flow", schema=None) as batch_op:
|
||||
batch_op.alter_column(
|
||||
"user_id", existing_type=sa.CHAR(length=32), nullable=True
|
||||
)
|
||||
batch_op.alter_column("user_id", existing_type=sa.CHAR(length=32), nullable=True)
|
||||
except Exception as e:
|
||||
print(e)
|
||||
pass
|
||||
|
|
@ -36,9 +34,7 @@ def downgrade() -> None:
|
|||
# ### commands auto generated by Alembic - please adjust! ###
|
||||
try:
|
||||
with op.batch_alter_table("flow", schema=None) as batch_op:
|
||||
batch_op.alter_column(
|
||||
"user_id", existing_type=sa.CHAR(length=32), nullable=False
|
||||
)
|
||||
batch_op.alter_column("user_id", existing_type=sa.CHAR(length=32), nullable=False)
|
||||
except Exception as e:
|
||||
print(e)
|
||||
pass
|
||||
|
|
@ -31,9 +31,7 @@ def upgrade() -> None:
|
|||
try:
|
||||
if "credential" in tables and "fk_credential_user_id" not in foreign_keys_names:
|
||||
with op.batch_alter_table("credential", schema=None) as batch_op:
|
||||
batch_op.create_foreign_key(
|
||||
"fk_credential_user_id", "user", ["user_id"], ["id"]
|
||||
)
|
||||
batch_op.create_foreign_key("fk_credential_user_id", "user", ["user_id"], ["id"])
|
||||
except Exception as e:
|
||||
print(e)
|
||||
pass
|
||||
|
|
@ -8,20 +8,10 @@ from langflow.api.v1.schemas import ApiKeyCreateRequest, ApiKeysResponse
|
|||
from langflow.services.auth import utils as auth_utils
|
||||
|
||||
# Assuming you have these methods in your service layer
|
||||
from langflow.services.database.models.api_key.crud import (
|
||||
create_api_key,
|
||||
delete_api_key,
|
||||
get_api_keys,
|
||||
)
|
||||
from langflow.services.database.models.api_key.model import (
|
||||
ApiKeyCreate,
|
||||
UnmaskedApiKeyRead,
|
||||
)
|
||||
from langflow.services.database.models.api_key.crud import create_api_key, delete_api_key, get_api_keys
|
||||
from langflow.services.database.models.api_key.model import ApiKeyCreate, UnmaskedApiKeyRead
|
||||
from langflow.services.database.models.user.model import User
|
||||
from langflow.services.deps import (
|
||||
get_session,
|
||||
get_settings_service,
|
||||
)
|
||||
from langflow.services.deps import get_session, get_settings_service
|
||||
|
||||
if TYPE_CHECKING:
|
||||
pass
|
||||
|
|
@ -239,7 +239,7 @@ async def create_upload_file(
|
|||
# get endpoint to return version of langflow
|
||||
@router.get("/version")
|
||||
def get_version():
|
||||
from langflow import __version__
|
||||
from langflow.version import __version__
|
||||
|
||||
return {"version": __version__}
|
||||
|
||||
|
|
@ -4,6 +4,8 @@ from io import BytesIO
|
|||
|
||||
from fastapi import APIRouter, Depends, HTTPException, UploadFile
|
||||
from fastapi.responses import StreamingResponse
|
||||
|
||||
|
||||
from langflow.api.v1.schemas import UploadFileResponse
|
||||
from langflow.services.auth.utils import get_current_active_user
|
||||
from langflow.services.database.models.flow import Flow
|
||||
|
|
@ -12,12 +12,7 @@ from langflow.api.utils import remove_api_keys, validate_is_component
|
|||
from langflow.api.v1.schemas import FlowListCreate, FlowListRead
|
||||
from langflow.initial_setup.setup import STARTER_FOLDER_NAME
|
||||
from langflow.services.auth.utils import get_current_active_user
|
||||
from langflow.services.database.models.flow import (
|
||||
Flow,
|
||||
FlowCreate,
|
||||
FlowRead,
|
||||
FlowUpdate,
|
||||
)
|
||||
from langflow.services.database.models.flow import Flow, FlowCreate, FlowRead, FlowUpdate
|
||||
from langflow.services.database.models.user.model import User
|
||||
from langflow.services.deps import get_session, get_settings_service
|
||||
from langflow.services.settings.service import SettingsService
|
||||
|
|
@ -1,6 +1,8 @@
|
|||
from typing import Optional
|
||||
|
||||
from fastapi import APIRouter, Depends, HTTPException, Query
|
||||
|
||||
|
||||
from langflow.services.deps import get_monitor_service
|
||||
from langflow.services.monitor.schema import VertexBuildMapModel
|
||||
from langflow.services.monitor.service import MonitorService
|
||||
|
|
@ -3,12 +3,7 @@ from collections import defaultdict
|
|||
from fastapi import APIRouter, HTTPException
|
||||
from loguru import logger
|
||||
|
||||
from langflow.api.v1.base import (
|
||||
Code,
|
||||
CodeValidationResponse,
|
||||
PromptValidationResponse,
|
||||
ValidatePromptRequest,
|
||||
)
|
||||
from langflow.api.v1.base import Code, CodeValidationResponse, PromptValidationResponse, ValidatePromptRequest
|
||||
from langflow.base.prompts.utils import (
|
||||
add_new_variables_to_template,
|
||||
get_old_custom_fields,
|
||||
|
|
@ -1,9 +1,8 @@
|
|||
from typing import List, Union
|
||||
|
||||
from langchain.agents import AgentExecutor, BaseMultiActionAgent, BaseSingleActionAgent
|
||||
|
||||
from langflow import CustomComponent
|
||||
from langflow.field_typing import BaseMemory, Text, Tool
|
||||
from langflow.interface.custom.custom_component import CustomComponent
|
||||
|
||||
|
||||
class LCAgentComponent(CustomComponent):
|
||||
|
|
@ -1,8 +1,8 @@
|
|||
import warnings
|
||||
from typing import Optional, Union
|
||||
|
||||
from langflow import CustomComponent
|
||||
from langflow.field_typing import Text
|
||||
from langflow.interface.custom.custom_component import CustomComponent
|
||||
from langflow.memory import add_messages
|
||||
from langflow.schema import Record
|
||||
|
||||
|
|
@ -1,7 +1,7 @@
|
|||
from typing import Optional
|
||||
|
||||
from langflow import CustomComponent
|
||||
from langflow.field_typing import Text
|
||||
from langflow.interface.custom.custom_component import CustomComponent
|
||||
|
||||
|
||||
class TextComponent(CustomComponent):
|
||||
|
|
@ -4,7 +4,7 @@ from langchain_core.language_models.chat_models import BaseChatModel
|
|||
from langchain_core.language_models.llms import LLM
|
||||
from langchain_core.messages import HumanMessage, SystemMessage
|
||||
|
||||
from langflow import CustomComponent
|
||||
from langflow.interface.custom.custom_component import CustomComponent
|
||||
|
||||
|
||||
class LCModelComponent(CustomComponent):
|
||||
|
|
@ -1,8 +1,9 @@
|
|||
from typing import Callable, List, Optional, Union
|
||||
|
||||
from langchain.agents import AgentExecutor, AgentType, initialize_agent, types
|
||||
from langflow import CustomComponent
|
||||
|
||||
from langflow.field_typing import BaseChatMemory, BaseLanguageModel, Tool
|
||||
from langflow.interface.custom.custom_component import CustomComponent
|
||||
|
||||
|
||||
class AgentInitializerComponent(CustomComponent):
|
||||
|
|
@ -1,6 +1,6 @@
|
|||
from langchain_experimental.agents.agent_toolkits.csv.base import create_csv_agent
|
||||
|
||||
from langflow import CustomComponent
|
||||
from langflow.custom import CustomComponent
|
||||
from langflow.field_typing import AgentExecutor, BaseLanguageModel
|
||||
|
||||
|
||||
|
|
@ -1,9 +1,10 @@
|
|||
from langflow import CustomComponent
|
||||
from langchain.agents import AgentExecutor, create_json_agent
|
||||
from langchain_community.agent_toolkits.json.toolkit import JsonToolkit
|
||||
|
||||
from langflow.field_typing import (
|
||||
BaseLanguageModel,
|
||||
)
|
||||
from langchain_community.agent_toolkits.json.toolkit import JsonToolkit
|
||||
from langflow.interface.custom.custom_component import CustomComponent
|
||||
|
||||
|
||||
class JsonAgentComponent(CustomComponent):
|
||||
|
|
@ -9,8 +9,9 @@ from langchain.prompts.chat import MessagesPlaceholder
|
|||
from langchain.schema.memory import BaseMemory
|
||||
from langchain.tools import Tool
|
||||
from langchain_community.chat_models import ChatOpenAI
|
||||
from langflow import CustomComponent
|
||||
|
||||
from langflow.field_typing.range_spec import RangeSpec
|
||||
from langflow.interface.custom.custom_component import CustomComponent
|
||||
|
||||
|
||||
class ConversationalAgent(CustomComponent):
|
||||
|
|
@ -1,10 +1,12 @@
|
|||
from langflow import CustomComponent
|
||||
from typing import Union, Callable
|
||||
from typing import Callable, Union
|
||||
|
||||
from langchain.agents import AgentExecutor
|
||||
from langflow.field_typing import BaseLanguageModel
|
||||
from langchain_community.agent_toolkits.sql.base import create_sql_agent
|
||||
from langchain.sql_database import SQLDatabase
|
||||
from langchain_community.agent_toolkits import SQLDatabaseToolkit
|
||||
from langchain_community.agent_toolkits.sql.base import create_sql_agent
|
||||
|
||||
from langflow.field_typing import BaseLanguageModel
|
||||
from langflow.interface.custom.custom_component import CustomComponent
|
||||
|
||||
|
||||
class SQLAgentComponent(CustomComponent):
|
||||
|
|
@ -1,8 +1,10 @@
|
|||
from langflow import CustomComponent
|
||||
from typing import Callable, Union
|
||||
|
||||
from langchain.agents import AgentExecutor, create_vectorstore_agent
|
||||
from langchain.agents.agent_toolkits.vectorstore.toolkit import VectorStoreToolkit
|
||||
from typing import Union, Callable
|
||||
|
||||
from langflow.field_typing import BaseLanguageModel
|
||||
from langflow.interface.custom.custom_component import CustomComponent
|
||||
|
||||
|
||||
class VectorStoreAgentComponent(CustomComponent):
|
||||
|
|
@ -1,9 +1,11 @@
|
|||
from langflow import CustomComponent
|
||||
from langchain_core.language_models.base import BaseLanguageModel
|
||||
from langchain.agents.agent_toolkits.vectorstore.toolkit import VectorStoreRouterToolkit
|
||||
from langchain.agents import create_vectorstore_router_agent
|
||||
from typing import Callable
|
||||
|
||||
from langchain.agents import create_vectorstore_router_agent
|
||||
from langchain.agents.agent_toolkits.vectorstore.toolkit import VectorStoreRouterToolkit
|
||||
from langchain_core.language_models.base import BaseLanguageModel
|
||||
|
||||
from langflow.interface.custom.custom_component import CustomComponent
|
||||
|
||||
|
||||
class VectorStoreRouterAgentComponent(CustomComponent):
|
||||
display_name = "VectorStoreRouterAgent"
|
||||
|
|
@ -2,8 +2,8 @@ from typing import Optional
|
|||
|
||||
from langchain.chains import ConversationChain
|
||||
|
||||
from langflow import CustomComponent
|
||||
from langflow.field_typing import BaseLanguageModel, BaseMemory, Text
|
||||
from langflow.interface.custom.custom_component import CustomComponent
|
||||
|
||||
|
||||
class ConversationChainComponent(CustomComponent):
|
||||
|
|
@ -2,13 +2,8 @@ from typing import Optional
|
|||
|
||||
from langchain.chains import LLMChain
|
||||
|
||||
from langflow import CustomComponent
|
||||
from langflow.field_typing import (
|
||||
BaseLanguageModel,
|
||||
BaseMemory,
|
||||
BasePromptTemplate,
|
||||
Text,
|
||||
)
|
||||
from langflow.field_typing import BaseLanguageModel, BaseMemory, BasePromptTemplate, Text
|
||||
from langflow.interface.custom.custom_component import CustomComponent
|
||||
|
||||
|
||||
class LLMChainComponent(CustomComponent):
|
||||
|
|
@ -1,7 +1,7 @@
|
|||
from langchain.chains import LLMCheckerChain
|
||||
|
||||
from langflow import CustomComponent
|
||||
from langflow.field_typing import BaseLanguageModel, Text
|
||||
from langflow.interface.custom.custom_component import CustomComponent
|
||||
|
||||
|
||||
class LLMCheckerChainComponent(CustomComponent):
|
||||
|
|
@ -2,8 +2,8 @@ from typing import Optional
|
|||
|
||||
from langchain.chains import LLMChain, LLMMathChain
|
||||
|
||||
from langflow import CustomComponent
|
||||
from langflow.field_typing import BaseLanguageModel, BaseMemory, Text
|
||||
from langflow.interface.custom.custom_component import CustomComponent
|
||||
|
||||
|
||||
class LLMMathChainComponent(CustomComponent):
|
||||
|
|
@ -4,8 +4,8 @@ from langchain.chains.combine_documents.base import BaseCombineDocumentsChain
|
|||
from langchain.chains.retrieval_qa.base import RetrievalQA
|
||||
from langchain_core.documents import Document
|
||||
|
||||
from langflow import CustomComponent
|
||||
from langflow.field_typing import BaseMemory, BaseRetriever, Text
|
||||
from langflow.interface.custom.custom_component import CustomComponent
|
||||
|
||||
|
||||
class RetrievalQAComponent(CustomComponent):
|
||||
|
|
@ -3,8 +3,8 @@ from typing import Optional
|
|||
from langchain.chains import RetrievalQAWithSourcesChain
|
||||
from langchain_core.documents import Document
|
||||
|
||||
from langflow import CustomComponent
|
||||
from langflow.field_typing import BaseLanguageModel, BaseMemory, BaseRetriever, Text
|
||||
from langflow.interface.custom.custom_component import CustomComponent
|
||||
|
||||
|
||||
class RetrievalQAWithSourcesChainComponent(CustomComponent):
|
||||
|
|
@ -5,8 +5,8 @@ from langchain_community.utilities.sql_database import SQLDatabase
|
|||
from langchain_core.prompts import PromptTemplate
|
||||
from langchain_core.runnables import Runnable
|
||||
|
||||
from langflow import CustomComponent
|
||||
from langflow.field_typing import BaseLanguageModel, Text
|
||||
from langflow.interface.custom.custom_component import CustomComponent
|
||||
|
||||
|
||||
class SQLGeneratorComponent(CustomComponent):
|
||||
|
|
@ -4,7 +4,7 @@ from typing import List, Optional
|
|||
|
||||
import httpx
|
||||
|
||||
from langflow import CustomComponent
|
||||
from langflow.interface.custom.custom_component import CustomComponent
|
||||
from langflow.schema import Record
|
||||
|
||||
|
||||
|
|
@ -1,11 +1,7 @@
|
|||
from typing import Any, Dict, List, Optional
|
||||
|
||||
from langflow import CustomComponent
|
||||
from langflow.base.data.utils import (
|
||||
parallel_load_records,
|
||||
parse_text_file_to_record,
|
||||
retrieve_file_paths,
|
||||
)
|
||||
from langflow.base.data.utils import parallel_load_records, parse_text_file_to_record, retrieve_file_paths
|
||||
from langflow.interface.custom.custom_component import CustomComponent
|
||||
from langflow.schema import Record
|
||||
|
||||
|
||||
|
|
@ -1,7 +1,7 @@
|
|||
from typing import Any, Dict, List
|
||||
|
||||
from langflow import CustomComponent
|
||||
from langflow.base.data.utils import TEXT_FILE_TYPES, parse_text_file_to_record
|
||||
from langflow.interface.custom.custom_component import CustomComponent
|
||||
from langflow.schema import Record
|
||||
|
||||
|
||||
|
|
@ -1,6 +1,6 @@
|
|||
from typing import List
|
||||
|
||||
from langflow import CustomComponent
|
||||
from langflow.interface.custom.custom_component import CustomComponent
|
||||
from langflow.schema import Record
|
||||
from langflow.utils.constants import LOADERS_INFO
|
||||
|
||||
|
|
@ -2,7 +2,7 @@ from typing import Any, Dict
|
|||
|
||||
from langchain_community.document_loaders.web_base import WebBaseLoader
|
||||
|
||||
from langflow import CustomComponent
|
||||
from langflow.interface.custom.custom_component import CustomComponent
|
||||
from langflow.schema import Record
|
||||
|
||||
|
||||
|
|
@ -3,8 +3,7 @@ from typing import Optional
|
|||
from langchain.embeddings.base import Embeddings
|
||||
from langchain_community.embeddings import BedrockEmbeddings
|
||||
|
||||
|
||||
from langflow import CustomComponent
|
||||
from langflow.interface.custom.custom_component import CustomComponent
|
||||
|
||||
|
||||
class AmazonBedrockEmeddingsComponent(CustomComponent):
|
||||
|
|
@ -1,7 +1,7 @@
|
|||
from langchain.embeddings.base import Embeddings
|
||||
from langchain_community.embeddings import AzureOpenAIEmbeddings
|
||||
|
||||
from langflow import CustomComponent
|
||||
from langflow.interface.custom.custom_component import CustomComponent
|
||||
|
||||
|
||||
class AzureOpenAIEmbeddingsComponent(CustomComponent):
|
||||
|
|
@ -1,7 +1,8 @@
|
|||
from typing import Optional
|
||||
|
||||
from langchain_community.embeddings.cohere import CohereEmbeddings
|
||||
from langflow import CustomComponent
|
||||
|
||||
from langflow.interface.custom.custom_component import CustomComponent
|
||||
|
||||
|
||||
class CohereEmbeddingsComponent(CustomComponent):
|
||||
|
|
@ -1,7 +1,9 @@
|
|||
from langflow import CustomComponent
|
||||
from typing import Optional, Dict
|
||||
from typing import Dict, Optional
|
||||
|
||||
from langchain_community.embeddings.huggingface import HuggingFaceEmbeddings
|
||||
|
||||
from langflow.interface.custom.custom_component import CustomComponent
|
||||
|
||||
|
||||
class HuggingFaceEmbeddingsComponent(CustomComponent):
|
||||
display_name = "HuggingFaceEmbeddings"
|
||||
|
|
@ -1,9 +1,10 @@
|
|||
from typing import Dict, Optional
|
||||
|
||||
from langchain_community.embeddings.huggingface import HuggingFaceInferenceAPIEmbeddings
|
||||
from langflow import CustomComponent
|
||||
from pydantic.v1.types import SecretStr
|
||||
|
||||
from langflow.interface.custom.custom_component import CustomComponent
|
||||
|
||||
|
||||
class HuggingFaceInferenceAPIEmbeddingsComponent(CustomComponent):
|
||||
display_name = "HuggingFaceInferenceAPIEmbeddings"
|
||||
|
|
@ -1,9 +1,10 @@
|
|||
from typing import Optional
|
||||
|
||||
from langflow import CustomComponent
|
||||
from langchain.embeddings.base import Embeddings
|
||||
from langchain_community.embeddings import OllamaEmbeddings
|
||||
|
||||
from langflow.interface.custom.custom_component import CustomComponent
|
||||
|
||||
|
||||
class OllamaEmbeddingsComponent(CustomComponent):
|
||||
"""
|
||||
|
|
@ -1,10 +1,11 @@
|
|||
from typing import Any, Callable, Dict, List, Optional, Union
|
||||
|
||||
from langchain_openai.embeddings.base import OpenAIEmbeddings
|
||||
from langflow import CustomComponent
|
||||
from langflow.field_typing import NestedDict
|
||||
from pydantic.v1.types import SecretStr
|
||||
|
||||
from langflow.field_typing import NestedDict
|
||||
from langflow.interface.custom.custom_component import CustomComponent
|
||||
|
||||
|
||||
class OpenAIEmbeddingsComponent(CustomComponent):
|
||||
display_name = "OpenAIEmbeddings"
|
||||
|
|
@ -1,6 +1,8 @@
|
|||
from langflow import CustomComponent
|
||||
from typing import List, Optional
|
||||
|
||||
from langchain_community.embeddings import VertexAIEmbeddings
|
||||
from typing import Optional, List
|
||||
|
||||
from langflow.interface.custom.custom_component import CustomComponent
|
||||
|
||||
|
||||
class VertexAIEmbeddingsComponent(CustomComponent):
|
||||
|
|
@ -1,4 +1,4 @@
|
|||
from langflow import CustomComponent
|
||||
from langflow.interface.custom.custom_component import CustomComponent
|
||||
from langflow.memory import delete_messages, get_messages
|
||||
|
||||
|
||||
|
|
@ -1,4 +1,4 @@
|
|||
from langflow import CustomComponent
|
||||
from langflow.interface.custom.custom_component import CustomComponent
|
||||
from langflow.schema import Record
|
||||
|
||||
|
||||
|
|
@ -3,7 +3,7 @@ from typing import Any, List, Optional, Text
|
|||
from langchain_core.tools import StructuredTool
|
||||
from loguru import logger
|
||||
|
||||
from langflow import CustomComponent
|
||||
from langflow.custom import CustomComponent
|
||||
from langflow.field_typing import Tool
|
||||
from langflow.graph.graph.base import Graph
|
||||
from langflow.helpers.flow import build_function_and_schema
|
||||
|
|
@ -1,4 +1,4 @@
|
|||
from langflow import CustomComponent
|
||||
from langflow.interface.custom.custom_component import CustomComponent
|
||||
from langflow.schema import Record
|
||||
|
||||
|
||||
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Reference in a new issue