chore: remove lc-serve

This commit is contained in:
Deepankar Mahapatro 2023-09-25 15:48:14 +05:30
commit 9d39946629
10 changed files with 49 additions and 617 deletions

View file

@ -45,11 +45,3 @@ jobs:
POETRY_PYPI_TOKEN_PYPI: ${{ secrets.PYPI_API_TOKEN }} POETRY_PYPI_TOKEN_PYPI: ${{ secrets.PYPI_API_TOKEN }}
run: | run: |
poetry publish poetry publish
- name: Trigger build and push on langchain-serve
uses: peter-evans/repository-dispatch@v2
with:
token: ${{ secrets.SERVE_GITHUB_TOKEN }}
repository: jina-ai/langchain-serve
event-type: langflow-push
client-payload: '{"push_token": "${{ secrets.LCSERVE_PUSH_TOKEN }}", "branch": "main"}'

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@ -1,17 +0,0 @@
name: Trigger build and push on langchain-serve
on:
workflow_dispatch:
jobs:
build:
runs-on: ubuntu-latest
steps:
- name: Trigger build and push on langchain-serve
uses: peter-evans/repository-dispatch@v2
with:
token: ${{ secrets.SERVE_GITHUB_TOKEN }}
repository: jina-ai/langchain-serve
event-type: langflow-push
client-payload: '{"push_token": "${{ secrets.LCSERVE_PUSH_TOKEN }}", "branch": "dev"}'

View file

@ -87,17 +87,6 @@ build:
poetry build --format sdist poetry build --format sdist
rm -rf src/backend/langflow/frontend rm -rf src/backend/langflow/frontend
lcserve_push:
make build_frontend
@version=$$(poetry version --short); \
lc-serve push --app langflow.lcserve:app --app-dir . \
--image-name langflow --image-tag $${version} --verbose --public
lcserve_deploy:
@:$(if $(uses),,$(error `uses` is not set. Please run `make uses=... lcserve_deploy`))
lc-serve deploy jcloud --app langflow.lcserve:app --app-dir . \
--uses $(uses) --config src/backend/langflow/jcloud.yml --verbose
dev: dev:
make install_frontend make install_frontend
ifeq ($(build),1) ifeq ($(build),1)

111
README.md
View file

@ -36,8 +36,6 @@
- [Environment Variables](#environment-variables) - [Environment Variables](#environment-variables)
- [Deployment](#deployment) - [Deployment](#deployment)
- [Deploy Langflow on Google Cloud Platform](#deploy-langflow-on-google-cloud-platform) - [Deploy Langflow on Google Cloud Platform](#deploy-langflow-on-google-cloud-platform)
- [Deploy Langflow on Jina AI Cloud](#deploy-langflow-on-jina-ai-cloud)
- [API Usage](#api-usage)
- [Deploy on Railway](#deploy-on-railway) - [Deploy on Railway](#deploy-on-railway)
- [Deploy on Render](#deploy-on-render) - [Deploy on Render](#deploy-on-render)
- [🎨 Creating Flows](#-creating-flows) - [🎨 Creating Flows](#-creating-flows)
@ -110,7 +108,6 @@ Each option is detailed below:
- `--components-path`: Specifies the path to the directory containing custom components. Can be set using the `LANGFLOW_COMPONENTS_PATH` environment variable. The default is `langflow/components`. - `--components-path`: Specifies the path to the directory containing custom components. Can be set using the `LANGFLOW_COMPONENTS_PATH` environment variable. The default is `langflow/components`.
- `--log-file`: Specifies the path to the log file. Can be set using the `LANGFLOW_LOG_FILE` environment variable. The default is `logs/langflow.log`. - `--log-file`: Specifies the path to the log file. Can be set using the `LANGFLOW_LOG_FILE` environment variable. The default is `logs/langflow.log`.
- `--cache`: Selects the type of cache to use. Options are `InMemoryCache` and `SQLiteCache`. Can be set using the `LANGFLOW_LANGCHAIN_CACHE` environment variable. The default is `SQLiteCache`. - `--cache`: Selects the type of cache to use. Options are `InMemoryCache` and `SQLiteCache`. Can be set using the `LANGFLOW_LANGCHAIN_CACHE` environment variable. The default is `SQLiteCache`.
- `--jcloud/--no-jcloud`: Toggles the option to deploy on Jina AI Cloud. The default is `no-jcloud`.
- `--dev/--no-dev`: Toggles the development mode. The default is `no-dev`. - `--dev/--no-dev`: Toggles the development mode. The default is `no-dev`.
- `--path`: Specifies the path to the frontend directory containing build files. This option is for development purposes only. Can be set using the `LANGFLOW_FRONTEND_PATH` environment variable. - `--path`: Specifies the path to the frontend directory containing build files. This option is for development purposes only. Can be set using the `LANGFLOW_FRONTEND_PATH` environment variable.
- `--open-browser/--no-open-browser`: Toggles the option to open the browser after starting the server. Can be set using the `LANGFLOW_OPEN_BROWSER` environment variable. The default is `open-browser`. - `--open-browser/--no-open-browser`: Toggles the option to open the browser after starting the server. Can be set using the `LANGFLOW_OPEN_BROWSER` environment variable. The default is `open-browser`.
@ -134,114 +131,6 @@ Alternatively, click the **"Open in Cloud Shell"** button below to launch Google
[![Open in Cloud Shell](https://gstatic.com/cloudssh/images/open-btn.svg)](https://console.cloud.google.com/cloudshell/open?git_repo=https://github.com/logspace-ai/langflow&working_dir=scripts&shellonly=true&tutorial=walkthroughtutorial_spot.md) [![Open in Cloud Shell](https://gstatic.com/cloudssh/images/open-btn.svg)](https://console.cloud.google.com/cloudshell/open?git_repo=https://github.com/logspace-ai/langflow&working_dir=scripts&shellonly=true&tutorial=walkthroughtutorial_spot.md)
## Deploy Langflow on [Jina AI Cloud](https://github.com/jina-ai/langchain-serve)
Langflow integrates with langchain-serve to provide a one-command deployment to Jina AI Cloud.
Start by installing `langchain-serve` with
```bash
pip install langflow[deploy]
# or
pip install -U langchain-serve
```
Then, run:
```bash
langflow --jcloud
```
```text
🎉 Langflow server successfully deployed on Jina AI Cloud 🎉
🔗 Click on the link to open the server (please allow ~1-2 minutes for the server to startup): https://<your-app>.wolf.jina.ai/
📖 Read more about managing the server: https://github.com/jina-ai/langchain-serve
```
<details>
<summary>Show complete (example) output</summary>
```text
🚀 Deploying Langflow server on Jina AI Cloud
╭───────────────────────── 🎉 Flow is available! ──────────────────────────╮
│ │
│ ID langflow-e3dd8820ec │
│ Gateway (Websocket) wss://langflow-e3dd8820ec.wolf.jina.ai │
│ Dashboard https://dashboard.wolf.jina.ai/flow/e3dd8820ec │
│ │
╰──────────────────────────────────────────────────────────────────────────╯
╭──────────────┬──────────────────────────────────────────────────────────────────────────────╮
│ App ID │ langflow-e3dd8820ec │
├──────────────┼──────────────────────────────────────────────────────────────────────────────┤
│ Phase │ Serving │
├──────────────┼──────────────────────────────────────────────────────────────────────────────┤
│ Endpoint │ wss://langflow-e3dd8820ec.wolf.jina.ai │
├──────────────┼──────────────────────────────────────────────────────────────────────────────┤
│ App logs │ dashboards.wolf.jina.ai │
├──────────────┼──────────────────────────────────────────────────────────────────────────────┤
│ Swagger UI │ https://langflow-e3dd8820ec.wolf.jina.ai/docs │
├──────────────┼──────────────────────────────────────────────────────────────────────────────┤
│ OpenAPI JSON │ https://langflow-e3dd8820ec.wolf.jina.ai/openapi.json │
╰──────────────┴──────────────────────────────────────────────────────────────────────────────╯
🎉 Langflow server successfully deployed on Jina AI Cloud 🎉
🔗 Click on the link to open the server (please allow ~1-2 minutes for the server to startup): https://langflow-e3dd8820ec.wolf.jina.ai/
📖 Read more about managing the server: https://github.com/jina-ai/langchain-serve
```
</details>
#### API Usage
You can use Langflow directly on your browser, or use the API endpoints on Jina AI Cloud to interact with the server.
<details>
<summary>Show API usage (with python)</summary>
```python
import requests
BASE_API_URL = "https://langflow-e3dd8820ec.wolf.jina.ai/api/v1/predict"
FLOW_ID = "864c4f98-2e59-468b-8e13-79cd8da07468"
# You can tweak the flow by adding a tweaks dictionary
# e.g {"OpenAI-XXXXX": {"model_name": "gpt-4"}}
TWEAKS = {
"ChatOpenAI-g4jEr": {},
"ConversationChain-UidfJ": {}
}
def run_flow(message: str, flow_id: str, tweaks: dict = None) -> dict:
"""
Run a flow with a given message and optional tweaks.
:param message: The message to send to the flow
:param flow_id: The ID of the flow to run
:param tweaks: Optional tweaks to customize the flow
:return: The JSON response from the flow
"""
api_url = f"{BASE_API_URL}/{flow_id}"
payload = {"message": message}
if tweaks:
payload["tweaks"] = tweaks
response = requests.post(api_url, json=payload)
return response.json()
# Setup any tweaks you want to apply to the flow
print(run_flow("Your message", flow_id=FLOW_ID, tweaks=TWEAKS))
```
```json
{
"result": "Great choice! Bangalore in the 1920s was a vibrant city with a rich cultural and political scene. Here are some suggestions for things to see and do:\n\n1. Visit the Bangalore Palace - built in 1887, this stunning palace is a perfect example of Tudor-style architecture. It was home to the Maharaja of Mysore and is now open to the public.\n\n2. Attend a performance at the Ravindra Kalakshetra - this cultural center was built in the 1920s and is still a popular venue for music and dance performances.\n\n3. Explore the neighborhoods of Basavanagudi and Malleswaram - both of these areas have retained much of their old-world charm and are great places to walk around and soak up the atmosphere.\n\n4. Check out the Bangalore Club - founded in 1868, this exclusive social club was a favorite haunt of the British expat community in the 1920s.\n\n5. Attend a meeting of the Indian National Congress - founded in 1885, the INC was a major force in the Indian independence movement and held many meetings and rallies in Bangalore in the 1920s.\n\nHope you enjoy your trip to 1920s Bangalore!"
}
```
</details>
> Read more about resource customization, cost, and management of Langflow apps on Jina AI Cloud in the **[langchain-serve](https://github.com/jina-ai/langchain-serve)** repository.
## Deploy on Railway ## Deploy on Railway

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@ -1,101 +0,0 @@
# Deploy on Jina AI Cloud
Langflow integrates with langchain-serve to provide a one-command deployment to [Jina AI Cloud](https://github.com/jina-ai/langchain-serve).
Start by installing `langchain-serve` with
```bash
pip install -U langchain-serve
```
Then, run:
```bash
langflow --jcloud
```
```text
🎉 Langflow server successfully deployed on Jina AI Cloud 🎉
🔗 Click on the link to open the server (please allow ~1-2 minutes for the server to startup): https://<your-app>.wolf.jina.ai/
📖 Read more about managing the server: https://github.com/jina-ai/langchain-serve
```
**Complete (example) output:**
```text
🚀 Deploying Langflow server on Jina AI Cloud
╭───────────────────────── 🎉 Flow is available! ──────────────────────────╮
│ │
│ ID langflow-e3dd8820ec │
│ Gateway (Websocket) wss://langflow-e3dd8820ec.wolf.jina.ai │
│ Dashboard https://dashboard.wolf.jina.ai/flow/e3dd8820ec │
│ │
╰──────────────────────────────────────────────────────────────────────────╯
╭──────────────┬──────────────────────────────────────────────────────────────────────────────╮
│ App ID │ langflow-e3dd8820ec │
├──────────────┼──────────────────────────────────────────────────────────────────────────────┤
│ Phase │ Serving │
├──────────────┼──────────────────────────────────────────────────────────────────────────────┤
│ Endpoint │ wss://langflow-e3dd8820ec.wolf.jina.ai │
├──────────────┼──────────────────────────────────────────────────────────────────────────────┤
│ App logs │ dashboards.wolf.jina.ai │
├──────────────┼──────────────────────────────────────────────────────────────────────────────┤
│ Swagger UI │ https://langflow-e3dd8820ec.wolf.jina.ai/docs │
├──────────────┼──────────────────────────────────────────────────────────────────────────────┤
│ OpenAPI JSON │ https://langflow-e3dd8820ec.wolf.jina.ai/openapi.json │
╰──────────────┴──────────────────────────────────────────────────────────────────────────────╯
🎉 Langflow server successfully deployed on Jina AI Cloud 🎉
🔗 Click on the link to open the server (please allow ~1-2 minutes for the server to startup): https://langflow-e3dd8820ec.wolf.jina.ai/
📖 Read more about managing the server: https://github.com/jina-ai/langchain-serve
```
## API Usage (with python)
You can use Langflow directly on your browser or the API endpoints on Jina AI Cloud to interact with the server.
```python
import requests
BASE_API_URL = "https://langflow-e3dd8820ec.wolf.jina.ai/api/v1/predict"
FLOW_ID = "864c4f98-2e59-468b-8e13-79cd8da07468"
# You can tweak the flow by adding a tweaks dictionary
# e.g {"OpenAI-XXXXX": {"model_name": "gpt-4"}}
TWEAKS = {
"ChatOpenAI-g4jEr": {},
"ConversationChain-UidfJ": {}
}
def run_flow(message: str, flow_id: str, tweaks: dict = None) -> dict:
"""
Run a flow with a given message and optional tweaks.
:param message: The message to send to the flow
:param flow_id: The ID of the flow to run
:param tweaks: Optional tweaks to customize the flow
:return: The JSON response from the flow
"""
api_url = f"{BASE_API_URL}/{flow_id}"
payload = {"message": message}
if tweaks:
payload["tweaks"] = tweaks
response = requests.post(api_url, json=payload)
return response.json()
# Setup any tweaks you want to apply to the flow
print(run_flow("Your message", flow_id=FLOW_ID, tweaks=TWEAKS))
```
```json
{
"result": "Great choice! Bangalore in the 1920s was a vibrant city with a rich cultural and political scene. Here are some suggestions for things to see and do:\n\n1. Visit the Bangalore Palace - built in 1887, this stunning palace is a perfect example of Tudor-style architecture. It was home to the Maharaja of Mysore and is now open to the public.\n\n2. Attend a performance at the Ravindra Kalakshetra - this cultural center was built in the 1920s and is still a popular venue for music and dance performances.\n\n3. Explore the neighborhoods of Basavanagudi and Malleswaram - both of these areas have retained much of their old-world charm and are great places to walk around and soak up the atmosphere.\n\n4. Check out the Bangalore Club - founded in 1868, this exclusive social club was a favorite haunt of the British expat community in the 1920s.\n\n5. Attend a meeting of the Indian National Congress - founded in 1885, the INC was a major force in the Indian independence movement and held many meetings and rallies in Bangalore in the 1920s.\n\nHope you enjoy your trip to 1920s Bangalore!"
}
```
:::info
Read more about resource customization, cost, and management of Langflow apps on Jina AI Cloud in the **[langchain-serve](https://github.com/jina-ai/langchain-serve)** repository.
:::

317
poetry.lock generated
View file

@ -1580,20 +1580,20 @@ smmap = ">=3.0.1,<6"
[[package]] [[package]]
name = "gitpython" name = "gitpython"
version = "3.1.37" version = "3.1.36"
description = "GitPython is a Python library used to interact with Git repositories" description = "GitPython is a Python library used to interact with Git repositories"
optional = false optional = false
python-versions = ">=3.7" python-versions = ">=3.7"
files = [ files = [
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[package.dependencies] [package.dependencies]
gitdb = ">=4.0.1,<5" gitdb = ">=4.0.1,<5"
[package.extras] [package.extras]
test = ["black", "coverage[toml]", "ddt (>=1.1.1,!=1.4.3)", "mypy", "pre-commit", "pytest", "pytest-cov", "pytest-sugar"] test = ["black", "coverage[toml]", "ddt (>=1.1.1,!=1.4.3)", "mypy", "pre-commit", "pytest", "pytest-cov", "pytest-sugar", "virtualenv"]
[[package]] [[package]]
name = "google-api-core" name = "google-api-core"
@ -1934,13 +1934,13 @@ grpc = ["grpcio (>=1.44.0,<2.0.0.dev0)"]
[[package]] [[package]]
name = "gotrue" name = "gotrue"
version = "1.1.1" version = "1.1.0"
description = "Python Client Library for GoTrue" description = "Python Client Library for GoTrue"
optional = false optional = false
python-versions = ">=3.8,<4.0" python-versions = ">=3.8,<4.0"
files = [ files = [
{file = "gotrue-1.1.1-py3-none-any.whl", hash = "sha256:d07311a097fc8f9e6ff062b26169d0b820bd6fb4de385f6cee080135d8b5a698"}, {file = "gotrue-1.1.0-py3-none-any.whl", hash = "sha256:ce60638cf56f07cc01580f63ade1299d7a2bbc636c48b0f3a026d8f265d982b4"},
{file = "gotrue-1.1.1.tar.gz", hash = "sha256:03c1593cff85027913bd1af063bcb38a5e79950fb5061768ff02ba7e67172708"}, {file = "gotrue-1.1.0.tar.gz", hash = "sha256:7954683d140a58fb906b8eb8f555ac39a888ba985f9bffe481d12ac1437ad46a"},
] ]
[package.dependencies] [package.dependencies]
@ -2943,31 +2943,6 @@ files = [
[package.dependencies] [package.dependencies]
langchain = ">=0.0.239" langchain = ">=0.0.239"
[[package]]
name = "langchain-serve"
version = "0.0.61"
description = "Langchain Serve - serve your langchain apps on Jina AI Cloud."
optional = true
python-versions = "*"
files = [
{file = "langchain-serve-0.0.61.tar.gz", hash = "sha256:f13d8b84f46b3789e7813deba798c04fa1d0a155bf5e1bf8b9addb7d6c01614c"},
]
[package.dependencies]
click = "*"
jcloud = ">=0.2.16"
jina = "3.15.2"
jina-hubble-sdk = "*"
langchain = "*"
nest-asyncio = "*"
requests = "*"
slack_bolt = "*"
textual = "*"
toml = "*"
[package.extras]
test = ["psutil", "pytest", "pytest-asyncio"]
[[package]] [[package]]
name = "langfuse" name = "langfuse"
version = "1.0.24" version = "1.0.24"
@ -2990,39 +2965,19 @@ pytz = ">=2023.3,<2024.0"
[[package]] [[package]]
name = "langsmith" name = "langsmith"
version = "0.0.40" version = "0.0.39"
description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform." description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
optional = false optional = false
python-versions = ">=3.8.1,<4.0" python-versions = ">=3.8.1,<4.0"
files = [ files = [
{file = "langsmith-0.0.40-py3-none-any.whl", hash = "sha256:3a10c580caeef0fd0d779df1449ab765a702075fe2b28dbe8b6c8c9e75abf1d3"}, {file = "langsmith-0.0.39-py3-none-any.whl", hash = "sha256:6a96c9afc9c3c390c6a02a49afa3100ca7f15d60ffe8ad05031953d1a4a38721"},
{file = "langsmith-0.0.40.tar.gz", hash = "sha256:a377385fd07ebe11ed0b08392cc0b8cf6ec99c11487bcfb15323c7c9e5986991"}, {file = "langsmith-0.0.39.tar.gz", hash = "sha256:a998bbb2514951c6f7718a9bd426917eb95d694d9cfa2bfda54ab348d6c038f1"},
] ]
[package.dependencies] [package.dependencies]
pydantic = ">=1,<3" pydantic = ">=1,<3"
requests = ">=2,<3" requests = ">=2,<3"
[[package]]
name = "linkify-it-py"
version = "2.0.2"
description = "Links recognition library with FULL unicode support."
optional = true
python-versions = ">=3.7"
files = [
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{file = "linkify_it_py-2.0.2-py3-none-any.whl", hash = "sha256:a3a24428f6c96f27370d7fe61d2ac0be09017be5190d68d8658233171f1b6541"},
]
[package.dependencies]
uc-micro-py = "*"
[package.extras]
benchmark = ["pytest", "pytest-benchmark"]
dev = ["black", "flake8", "isort", "pre-commit", "pyproject-flake8"]
doc = ["myst-parser", "sphinx", "sphinx-book-theme"]
test = ["coverage", "pytest", "pytest-cov"]
[[package]] [[package]]
name = "llama-cpp-python" name = "llama-cpp-python"
version = "0.1.85" version = "0.1.85"
@ -3069,10 +3024,13 @@ files = [
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]
[package.dependencies]
tree-sitter = "*"
[[package]] [[package]]
name = "twine" name = "twine"
version = "3.8.0" version = "3.8.0"
@ -7244,20 +7007,6 @@ files = [
{file = "tzdata-2023.3.tar.gz", hash = "sha256:11ef1e08e54acb0d4f95bdb1be05da659673de4acbd21bf9c69e94cc5e907a3a"}, {file = "tzdata-2023.3.tar.gz", hash = "sha256:11ef1e08e54acb0d4f95bdb1be05da659673de4acbd21bf9c69e94cc5e907a3a"},
] ]
[[package]]
name = "uc-micro-py"
version = "1.0.2"
description = "Micro subset of unicode data files for linkify-it-py projects."
optional = true
python-versions = ">=3.7"
files = [
{file = "uc-micro-py-1.0.2.tar.gz", hash = "sha256:30ae2ac9c49f39ac6dce743bd187fcd2b574b16ca095fa74cd9396795c954c54"},
{file = "uc_micro_py-1.0.2-py3-none-any.whl", hash = "sha256:8c9110c309db9d9e87302e2f4ad2c3152770930d88ab385cd544e7a7e75f3de0"},
]
[package.extras]
test = ["coverage", "pytest", "pytest-cov"]
[[package]] [[package]]
name = "unstructured" name = "unstructured"
version = "0.10.16" version = "0.10.16"
@ -7891,10 +7640,10 @@ cffi = ["cffi (>=1.11)"]
[extras] [extras]
all = [] all = []
deploy = ["langchain-serve"] deploy = []
local = ["ctransformers", "llama-cpp-python", "sentence-transformers"] local = ["ctransformers", "llama-cpp-python", "sentence-transformers"]
[metadata] [metadata]
lock-version = "2.0" lock-version = "2.0"
python-versions = ">=3.9,<3.11" python-versions = ">=3.9,<3.11"
content-hash = "7aac1af43e599106fa9e6ee38978d014608b0275b277201d605484e675c00cea" content-hash = "8db46e84d6713d1dc82a5dfc11064cc297b10a289c556773d92c3be23422a9ee"

View file

@ -51,7 +51,6 @@ psycopg2-binary = "^2.9.6"
pyarrow = "^12.0.0" pyarrow = "^12.0.0"
tiktoken = "~0.4.0" tiktoken = "~0.4.0"
wikipedia = "^1.4.0" wikipedia = "^1.4.0"
langchain-serve = { version = ">0.0.51", optional = true }
qdrant-client = "^1.4.0" qdrant-client = "^1.4.0"
websockets = "^10.3" websockets = "^10.3"
weaviate-client = "^3.23.0" weaviate-client = "^3.23.0"

View file

@ -1,27 +1,26 @@
import platform
import socket
import sys import sys
import time import time
import httpx import webbrowser
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 multiprocess import Process, cpu_count # type: ignore
import platform
from pathlib import Path from pathlib import Path
from typing import Optional from typing import Optional
import socket
from rich.panel import Panel import httpx
import typer
from dotenv import load_dotenv
from multiprocess import Process, cpu_count # type: ignore
from rich import box from rich import box
from rich import print as rprint from rich import print as rprint
from rich.table import Table
import typer
from langflow.main import setup_app
from langflow.utils.logger import configure, logger
import webbrowser
from dotenv import load_dotenv
from rich.console import Console 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.getters import get_db_manager, get_settings_manager
from langflow.services.utils import initialize_services, initialize_settings_manager
from langflow.utils.logger import configure, logger
console = Console() console = Console()
@ -80,52 +79,6 @@ def update_settings(
settings_manager.settings.update_settings(COMPONENTS_PATH=components_path) settings_manager.settings.update_settings(COMPONENTS_PATH=components_path)
def serve_on_jcloud():
"""
Deploy Langflow server on Jina AI Cloud
"""
import asyncio
from importlib.metadata import version as mod_version
import click
try:
from lcserve.__main__ import serve_on_jcloud # type: ignore
except ImportError:
click.secho(
"🚨 Please install langchain-serve to deploy Langflow server on Jina AI Cloud "
"using `pip install langchain-serve`",
fg="red",
)
return
app_name = "langflow.lcserve:app"
app_dir = str(Path(__file__).parent)
version = mod_version("langflow")
base_image = "jinaai+docker://deepankarm/langflow"
click.echo("🚀 Deploying Langflow server on Jina AI Cloud")
app_id = asyncio.run(
serve_on_jcloud(
fastapi_app_str=app_name,
app_dir=app_dir,
uses=f"{base_image}:{version}",
name="langflow",
)
)
click.secho(
"🎉 Langflow server successfully deployed on Jina AI Cloud 🎉", fg="green"
)
click.secho(
"🔗 Click on the link to open the server (please allow ~1-2 minutes for the server to startup): ",
nl=False,
fg="green",
)
click.secho(f"https://{app_id}.wolf.jina.ai/", fg="blue")
click.secho("📖 Read more about managing the server: ", nl=False, fg="green")
click.secho("https://github.com/jina-ai/langchain-serve", fg="blue")
@app.command() @app.command()
def run( def run(
host: str = typer.Option( host: str = typer.Option(
@ -159,7 +112,6 @@ def run(
help="Type of cache to use. (InMemoryCache, SQLiteCache)", help="Type of cache to use. (InMemoryCache, SQLiteCache)",
default=None, default=None,
), ),
jcloud: bool = typer.Option(False, help="Deploy on Jina AI Cloud"),
dev: bool = typer.Option(False, help="Run in development mode (may contain bugs)"), dev: bool = typer.Option(False, help="Run in development mode (may contain bugs)"),
# This variable does not work but is set by the .env file # This variable does not work but is set by the .env file
# and works with Pydantic # and works with Pydantic
@ -196,9 +148,6 @@ def run(
if env_file: if env_file:
load_dotenv(env_file, override=True) load_dotenv(env_file, override=True)
if jcloud:
return serve_on_jcloud()
configure(log_level=log_level, log_file=log_file) configure(log_level=log_level, log_file=log_file)
update_settings( update_settings(
config, config,

View file

@ -1,2 +0,0 @@
instance: C4
autoscale_min: 1

View file

@ -1,15 +0,0 @@
# This file is used by lc-serve to load the mounted app and serve it.
import os
# Use the JCLOUD_WORKSPACE for db URL if it's provided by JCloud.
if "JCLOUD_WORKSPACE" in os.environ:
os.environ[
"LANGFLOW_DATABASE_URL"
] = f"sqlite:///{os.environ['JCLOUD_WORKSPACE']}/langflow.db"
from langflow.main import setup_app
from langflow.utils.logger import configure
configure(log_level="DEBUG")
app = setup_app()