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Merge branch 'dev' into docs-add-integration-lmstudio

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Henry 2024-02-20 12:47:55 +07:00 committed by GitHub
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16
Dockerfile
View File

@ -14,9 +14,6 @@ COPY . ./
RUN export NITRO_VERSION=$(cat extensions/inference-nitro-extension/bin/version.txt) && \
jq --arg nitroVersion $NITRO_VERSION '(.scripts."downloadnitro:linux" | gsub("\\${NITRO_VERSION}"; $nitroVersion)) | gsub("\r"; "")' extensions/inference-nitro-extension/package.json > /tmp/newcommand.txt && export NEW_COMMAND=$(sed 's/^"//;s/"$//' /tmp/newcommand.txt) && jq --arg newCommand "$NEW_COMMAND" '.scripts."downloadnitro:linux" = $newCommand' extensions/inference-nitro-extension/package.json > /tmp/package.json && mv /tmp/package.json extensions/inference-nitro-extension/package.json
RUN make install-and-build
RUN yarn workspace jan-web install
RUN export NODE_ENV=production && yarn workspace jan-web build
# # 2. Rebuild the source code only when needed
FROM base AS runner
@ -42,12 +39,13 @@ COPY --from=builder /app/docs/openapi ./docs/openapi/
COPY --from=builder /app/pre-install ./pre-install/
# Copy the package.json, yarn.lock, and output of web yarn space to leverage Docker cache
COPY --from=builder /app/web/out ./web/out/
COPY --from=builder /app/web/.next ./web/.next/
COPY --from=builder /app/web/package.json ./web/package.json
COPY --from=builder /app/web/yarn.lock ./web/yarn.lock
COPY --from=builder /app/uikit ./uikit/
COPY --from=builder /app/web ./web/
COPY --from=builder /app/models ./models/
RUN yarn workspace @janhq/uikit install && yarn workspace @janhq/uikit build
RUN yarn workspace jan-web install
RUN npm install -g serve@latest
EXPOSE 1337 3000 3928
@ -55,7 +53,9 @@ EXPOSE 1337 3000 3928
ENV JAN_API_HOST 0.0.0.0
ENV JAN_API_PORT 1337
CMD ["sh", "-c", "cd server && node build/main.js & cd web && npx serve out"]
ENV API_BASE_URL http://localhost:1337
CMD ["sh", "-c", "export NODE_ENV=production && yarn workspace jan-web build && cd web && npx serve out & cd server && node build/main.js"]
# docker build -t jan .
# docker run -p 1337:1337 -p 3000:3000 -p 3928:3928 jan

16
Dockerfile.gpu
View File

@ -28,9 +28,6 @@ COPY . ./
RUN export NITRO_VERSION=$(cat extensions/inference-nitro-extension/bin/version.txt) && \
jq --arg nitroVersion $NITRO_VERSION '(.scripts."downloadnitro:linux" | gsub("\\${NITRO_VERSION}"; $nitroVersion)) | gsub("\r"; "")' extensions/inference-nitro-extension/package.json > /tmp/newcommand.txt && export NEW_COMMAND=$(sed 's/^"//;s/"$//' /tmp/newcommand.txt) && jq --arg newCommand "$NEW_COMMAND" '.scripts."downloadnitro:linux" = $newCommand' extensions/inference-nitro-extension/package.json > /tmp/package.json && mv /tmp/package.json extensions/inference-nitro-extension/package.json
RUN make install-and-build
RUN yarn workspace jan-web install
RUN export NODE_ENV=production && yarn workspace jan-web build
# # 2. Rebuild the source code only when needed
FROM base AS runner
@ -66,12 +63,13 @@ COPY --from=builder /app/docs/openapi ./docs/openapi/
COPY --from=builder /app/pre-install ./pre-install/
# Copy the package.json, yarn.lock, and output of web yarn space to leverage Docker cache
COPY --from=builder /app/web/out ./web/out/
COPY --from=builder /app/web/.next ./web/.next/
COPY --from=builder /app/web/package.json ./web/package.json
COPY --from=builder /app/web/yarn.lock ./web/yarn.lock
COPY --from=builder /app/uikit ./uikit/
COPY --from=builder /app/web ./web/
COPY --from=builder /app/models ./models/
RUN yarn workspace @janhq/uikit install && yarn workspace @janhq/uikit build
RUN yarn workspace jan-web install
RUN npm install -g serve@latest
EXPOSE 1337 3000 3928
@ -81,7 +79,9 @@ ENV LD_LIBRARY_PATH=/usr/local/cuda/targets/x86_64-linux/lib:/usr/local/cuda-12.
ENV JAN_API_HOST 0.0.0.0
ENV JAN_API_PORT 1337
CMD ["sh", "-c", "cd server && node build/main.js & cd web && npx serve out"]
ENV API_BASE_URL http://localhost:1337
CMD ["sh", "-c", "export NODE_ENV=production && yarn workspace jan-web build && cd web && npx serve out & cd server && node build/main.js"]
# pre-requisites: nvidia-docker
# docker build -t jan-gpu . -f Dockerfile.gpu

12
Makefile
View File

@ -52,18 +52,28 @@ build: check-file-counts
clean:
ifeq ($(OS),Windows_NT)
powershell -Command "Get-ChildItem -Path . -Include node_modules, .next, dist -Recurse -Directory | Remove-Item -Recurse -Force"
powershell -Command "Get-ChildItem -Path . -Include node_modules, .next, dist, build, out -Recurse -Directory | Remove-Item -Recurse -Force"
powershell -Command "Remove-Item -Recurse -Force ./pre-install/*.tgz"
powershell -Command "Remove-Item -Recurse -Force ./electron/pre-install/*.tgz"
rmdir /s /q "%USERPROFILE%\jan\extensions"
else ifeq ($(shell uname -s),Linux)
find . -name "node_modules" -type d -prune -exec rm -rf '{}' +
find . -name ".next" -type d -exec rm -rf '{}' +
find . -name "dist" -type d -exec rm -rf '{}' +
find . -name "build" -type d -exec rm -rf '{}' +
find . -name "out" -type d -exec rm -rf '{}' +
rm -rf ./pre-install/*.tgz
rm -rf ./electron/pre-install/*.tgz
rm -rf "~/jan/extensions"
rm -rf "~/.cache/jan*"
else
find . -name "node_modules" -type d -prune -exec rm -rf '{}' +
find . -name ".next" -type d -exec rm -rf '{}' +
find . -name "dist" -type d -exec rm -rf '{}' +
find . -name "build" -type d -exec rm -rf '{}' +
find . -name "out" -type d -exec rm -rf '{}' +
rm -rf ./pre-install/*.tgz
rm -rf ./electron/pre-install/*.tgz
rm -rf ~/jan/extensions
rm -rf ~/Library/Caches/jan*
endif

123
README.md
View File

@ -76,31 +76,31 @@ Jan is an open-source ChatGPT alternative that runs 100% offline on your compute
<tr style="text-align:center">
<td style="text-align:center"><b>Experimental (Nightly Build)</b></td>
<td style="text-align:center">
<a href='https://delta.jan.ai/latest/jan-win-x64-0.4.6-275.exe'>
<a href='https://delta.jan.ai/latest/jan-win-x64-0.4.6-276.exe'>
<img src='./docs/static/img/windows.png' style="height:14px; width: 14px" />
<b>jan.exe</b>
</a>
</td>
<td style="text-align:center">
<a href='https://delta.jan.ai/latest/jan-mac-x64-0.4.6-275.dmg'>
<a href='https://delta.jan.ai/latest/jan-mac-x64-0.4.6-276.dmg'>
<img src='./docs/static/img/mac.png' style="height:15px; width: 15px" />
<b>Intel</b>
</a>
</td>
<td style="text-align:center">
<a href='https://delta.jan.ai/latest/jan-mac-arm64-0.4.6-275.dmg'>
<a href='https://delta.jan.ai/latest/jan-mac-arm64-0.4.6-276.dmg'>
<img src='./docs/static/img/mac.png' style="height:15px; width: 15px" />
<b>M1/M2</b>
</a>
</td>
<td style="text-align:center">
<a href='https://delta.jan.ai/latest/jan-linux-amd64-0.4.6-275.deb'>
<a href='https://delta.jan.ai/latest/jan-linux-amd64-0.4.6-276.deb'>
<img src='./docs/static/img/linux.png' style="height:14px; width: 14px" />
<b>jan.deb</b>
</a>
</td>
<td style="text-align:center">
<a href='https://delta.jan.ai/latest/jan-linux-x86_64-0.4.6-275.AppImage'>
<a href='https://delta.jan.ai/latest/jan-linux-x86_64-0.4.6-276.AppImage'>
<img src='./docs/static/img/linux.png' style="height:14px; width: 14px" />
<b>jan.AppImage</b>
</a>
@ -235,61 +235,84 @@ This will build the app MacOS m1/m2 for production (with code signing already do
- Run Jan in Docker mode
- **Option 1**: Run Jan in CPU mode
| Docker compose Profile | Description |
| ---------------------- | -------------------------------------------- |
| `cpu-fs` | Run Jan in CPU mode with default file system |
| `cpu-s3fs` | Run Jan in CPU mode with S3 file system |
| `gpu-fs` | Run Jan in GPU mode with default file system |
| `gpu-s3fs` | Run Jan in GPU mode with S3 file system |
| Environment Variable | Description |
| ----------------------- | ------------------------------------------------------------------------------------------------------- |
| `S3_BUCKET_NAME` | S3 bucket name - leave blank for default file system |
| `AWS_ACCESS_KEY_ID` | AWS access key ID - leave blank for default file system |
| `AWS_SECRET_ACCESS_KEY` | AWS secret access key - leave blank for default file system |
| `AWS_ENDPOINT` | AWS endpoint URL - leave blank for default file system |
| `AWS_REGION` | AWS region - leave blank for default file system |
| `API_BASE_URL` | Jan Server URL, please modify it as your public ip address or domain name default http://localhost:1377 |
- **Option 1**: Run Jan in CPU mode
```bash
# cpu mode with default file system
docker compose --profile cpu-fs up -d
# cpu mode with S3 file system
docker compose --profile cpu-s3fs up -d
```
- **Option 2**: Run Jan in GPU mode
- **Step 1**: Check CUDA compatibility with your NVIDIA driver by running `nvidia-smi` and check the CUDA version in the output
```bash
docker compose --profile cpu up -d
nvidia-smi
# Output
+---------------------------------------------------------------------------------------+
| NVIDIA-SMI 531.18 Driver Version: 531.18 CUDA Version: 12.1 |
|-----------------------------------------+----------------------+----------------------+
| GPU Name TCC/WDDM | Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|=========================================+======================+======================|
| 0 NVIDIA GeForce RTX 4070 Ti WDDM | 00000000:01:00.0 On | N/A |
| 0% 44C P8 16W / 285W| 1481MiB / 12282MiB | 2% Default |
| | | N/A |
+-----------------------------------------+----------------------+----------------------+
| 1 NVIDIA GeForce GTX 1660 Ti WDDM | 00000000:02:00.0 Off | N/A |
| 0% 49C P8 14W / 120W| 0MiB / 6144MiB | 0% Default |
| | | N/A |
+-----------------------------------------+----------------------+----------------------+
| 2 NVIDIA GeForce GTX 1660 Ti WDDM | 00000000:05:00.0 Off | N/A |
| 29% 38C P8 11W / 120W| 0MiB / 6144MiB | 0% Default |
| | | N/A |
+-----------------------------------------+----------------------+----------------------+
+---------------------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=======================================================================================|
```
- **Option 2**: Run Jan in GPU mode
- **Step 2**: Visit [NVIDIA NGC Catalog ](https://catalog.ngc.nvidia.com/orgs/nvidia/containers/cuda/tags) and find the smallest minor version of image tag that matches your CUDA version (e.g., 12.1 -> 12.1.0)
- **Step 1**: Check CUDA compatibility with your NVIDIA driver by running `nvidia-smi` and check the CUDA version in the output
- **Step 3**: Update the `Dockerfile.gpu` line number 5 with the latest minor version of the image tag from step 2 (e.g. change `FROM nvidia/cuda:12.2.0-runtime-ubuntu22.04 AS base` to `FROM nvidia/cuda:12.1.0-runtime-ubuntu22.04 AS base`)
```bash
nvidia-smi
- **Step 4**: Run command to start Jan in GPU mode
# Output
+---------------------------------------------------------------------------------------+
| NVIDIA-SMI 531.18 Driver Version: 531.18 CUDA Version: 12.1 |
|-----------------------------------------+----------------------+----------------------+
| GPU Name TCC/WDDM | Bus-Id Disp.A | Volatile Uncorr. ECC |
| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |
| | | MIG M. |
|=========================================+======================+======================|
| 0 NVIDIA GeForce RTX 4070 Ti WDDM | 00000000:01:00.0 On | N/A |
| 0% 44C P8 16W / 285W| 1481MiB / 12282MiB | 2% Default |
| | | N/A |
+-----------------------------------------+----------------------+----------------------+
| 1 NVIDIA GeForce GTX 1660 Ti WDDM | 00000000:02:00.0 Off | N/A |
| 0% 49C P8 14W / 120W| 0MiB / 6144MiB | 0% Default |
| | | N/A |
+-----------------------------------------+----------------------+----------------------+
| 2 NVIDIA GeForce GTX 1660 Ti WDDM | 00000000:05:00.0 Off | N/A |
| 29% 38C P8 11W / 120W| 0MiB / 6144MiB | 0% Default |
| | | N/A |
+-----------------------------------------+----------------------+----------------------+
```bash
# GPU mode with default file system
docker compose --profile gpu up -d
+---------------------------------------------------------------------------------------+
| Processes: |
| GPU GI CI PID Type Process name GPU Memory |
| ID ID Usage |
|=======================================================================================|
```
# GPU mode with S3 file system
docker compose --profile gpu-s3fs up -d
```
- **Step 2**: Visit [NVIDIA NGC Catalog ](https://catalog.ngc.nvidia.com/orgs/nvidia/containers/cuda/tags) and find the smallest minor version of image tag that matches your CUDA version (e.g., 12.1 -> 12.1.0)
This will start the web server and you can access Jan at `http://localhost:3000`.
- **Step 3**: Update the `Dockerfile.gpu` line number 5 with the latest minor version of the image tag from step 2 (e.g. change `FROM nvidia/cuda:12.2.0-runtime-ubuntu22.04 AS base` to `FROM nvidia/cuda:12.1.0-runtime-ubuntu22.04 AS base`)
- **Step 4**: Run command to start Jan in GPU mode
```bash
# GPU mode
docker compose --profile gpu up -d
```
This will start the web server and you can access Jan at `http://localhost:3000`.
> Note: Currently, Docker mode is only work for development and localhost, production is not supported yet. RAG feature is not supported in Docker mode yet.
> Note: RAG feature is not supported in Docker mode with s3fs yet.
## Acknowledgements

1
core/src/node/api/processors/app.ts
View File

@ -1,6 +1,5 @@
import { basename, isAbsolute, join, relative } from 'path'
import { AppRoute } from '../../../api'
import { Processor } from './Processor'
import { getAppConfigurations as appConfiguration, updateAppConfiguration } from '../../helper'
import { log as writeLog, logServer as writeServerLog } from '../../helper/log'

18
core/src/node/api/restful/common.ts
View File

@ -8,7 +8,7 @@ import {
createMessage,
createThread,
getMessages,
retrieveMesasge,
retrieveMessage,
updateThread,
} from './helper/builder'
@ -17,10 +17,18 @@ import { startModel, stopModel } from './helper/startStopModel'
import { ModelSettingParams } from '../../../types'
export const commonRouter = async (app: HttpServer) => {
const normalizeData = (data: any) => {
return {
object: 'list',
data,
}
}
// Common Routes
// Read & Delete :: Threads | Models | Assistants
Object.keys(JanApiRouteConfiguration).forEach((key) => {
app.get(`/${key}`, async (_request) => getBuilder(JanApiRouteConfiguration[key]))
app.get(`/${key}`, async (_request) =>
getBuilder(JanApiRouteConfiguration[key]).then(normalizeData)
)
app.get(`/${key}/:id`, async (request: any) =>
retrieveBuilder(JanApiRouteConfiguration[key], request.params.id)
@ -34,10 +42,12 @@ export const commonRouter = async (app: HttpServer) => {
// Threads
app.post(`/threads/`, async (req, res) => createThread(req.body))
app.get(`/threads/:threadId/messages`, async (req, res) => getMessages(req.params.threadId))
app.get(`/threads/:threadId/messages`, async (req, res) =>
getMessages(req.params.threadId).then(normalizeData)
)
app.get(`/threads/:threadId/messages/:messageId`, async (req, res) =>
retrieveMesasge(req.params.threadId, req.params.messageId)
retrieveMessage(req.params.threadId, req.params.messageId)
)
app.post(`/threads/:threadId/messages`, async (req, res) =>

2
core/src/node/api/restful/helper/builder.ts
View File

@ -125,7 +125,7 @@ export const getMessages = async (threadId: string): Promise<ThreadMessage[]> =>
}
}
export const retrieveMesasge = async (threadId: string, messageId: string) => {
export const retrieveMessage = async (threadId: string, messageId: string) => {
const messages = await getMessages(threadId)
const filteredMessages = messages.filter((m) => m.id === messageId)
if (!filteredMessages || filteredMessages.length === 0) {

73
docker-compose.yml
View File

@ -42,10 +42,10 @@ services:
vpcbr:
# app_cpu service for running the CPU version of the application
app_cpu:
app_cpu_s3fs:
image: jan:latest
volumes:
- app_data:/app/server/build/jan
- app_data_cpu_s3fs:/app/server/build/jan
build:
context: .
dockerfile: Dockerfile
@ -56,9 +56,10 @@ services:
S3_BUCKET_NAME: mybucket
AWS_ENDPOINT: http://10.5.0.2:9000
AWS_REGION: us-east-1
API_BASE_URL: http://localhost:1337
restart: always
profiles:
- cpu
- cpu-s3fs
ports:
- "3000:3000"
- "1337:1337"
@ -68,7 +69,7 @@ services:
ipv4_address: 10.5.0.3
# app_gpu service for running the GPU version of the application
app_gpu:
app_gpu_s3fs:
deploy:
resources:
reservations:
@ -78,7 +79,7 @@ services:
capabilities: [gpu]
image: jan-gpu:latest
volumes:
- app_data:/app/server/build/jan
- app_data_gpu_s3fs:/app/server/build/jan
build:
context: .
dockerfile: Dockerfile.gpu
@ -90,8 +91,9 @@ services:
S3_BUCKET_NAME: mybucket
AWS_ENDPOINT: http://10.5.0.2:9000
AWS_REGION: us-east-1
API_BASE_URL: http://localhost:1337
profiles:
- gpu
- gpu-s3fs
ports:
- "3000:3000"
- "1337:1337"
@ -100,9 +102,60 @@ services:
vpcbr:
ipv4_address: 10.5.0.4
app_cpu_fs:
image: jan:latest
volumes:
- app_data_cpu_fs:/app/server/build/jan
build:
context: .
dockerfile: Dockerfile
environment:
API_BASE_URL: http://localhost:1337
restart: always
profiles:
- cpu-fs
ports:
- "3000:3000"
- "1337:1337"
- "3928:3928"
networks:
vpcbr:
ipv4_address: 10.5.0.5
# app_gpu service for running the GPU version of the application
app_gpu_fs:
deploy:
resources:
reservations:
devices:
- driver: nvidia
count: all
capabilities: [gpu]
image: jan-gpu:latest
volumes:
- app_data_gpu_fs:/app/server/build/jan
build:
context: .
dockerfile: Dockerfile.gpu
restart: always
environment:
API_BASE_URL: http://localhost:1337
profiles:
- gpu-fs
ports:
- "3000:3000"
- "1337:1337"
- "3928:3928"
networks:
vpcbr:
ipv4_address: 10.5.0.6
volumes:
minio_data:
app_data:
app_data_cpu_s3fs:
app_data_gpu_s3fs:
app_data_cpu_fs:
app_data_gpu_fs:
networks:
vpcbr:
@ -113,5 +166,7 @@ networks:
gateway: 10.5.0.1
# Usage:
# - Run 'docker-compose --profile cpu up -d' to start the app_cpu service
# - Run 'docker-compose --profile gpu up -d' to start the app_gpu service
# - Run 'docker compose --profile cpu-s3fs up -d' to start the app_cpu service
# - Run 'docker compose --profile gpu-s3fs up -d' to start the app_gpu service
# - Run 'docker compose --profile cpu-fs up -d' to start the app_cpu service
# - Run 'docker compose --profile gpu-fs up -d' to start the app_gpu service

2
extensions/inference-nitro-extension/src/index.ts
View File

@ -88,7 +88,7 @@ export default class JanInferenceNitroExtension extends InferenceExtension {
const electronApi = window?.electronAPI
this.inferenceUrl = INFERENCE_URL
if (!electronApi) {
this.inferenceUrl = JAN_SERVER_INFERENCE_URL
this.inferenceUrl = `${window.core?.api?.baseApiUrl}/v1/chat/completions`
}
console.debug('Inference url: ', this.inferenceUrl)

2
extensions/model-extension/package.json
View File

@ -1,6 +1,6 @@
{
"name": "@janhq/model-extension",
"version": "1.0.24",
"version": "1.0.25",
"description": "Model Management Extension provides model exploration and seamless downloads",
"main": "dist/index.js",
"module": "dist/module.js",

2
models/dolphin-phi-2/model.json
View File

@ -1,5 +1,5 @@
{
"source": [
"sources": [
{
"url": "https://huggingface.co/TheBloke/dolphin-2_6-phi-2-GGUF/resolve/main/dolphin-2_6-phi-2.Q8_0.gguf",
"filename": "dolphin-2_6-phi-2.Q8_0.gguf"

2
models/llamacorn-1.1b/model.json
View File

@ -1,5 +1,5 @@
{
"source": [
"sources": [
{
"url":"https://huggingface.co/janhq/llamacorn-1.1b-chat-GGUF/resolve/main/llamacorn-1.1b-chat.Q8_0.gguf",
"filename": "llamacorn-1.1b-chat.Q8_0.gguf"

2
models/stable-zephyr-3b/model.json
View File

@ -1,5 +1,5 @@
{
"source": [
"sources": [
{
"url": "https://huggingface.co/TheBloke/stablelm-zephyr-3b-GGUF/resolve/main/stablelm-zephyr-3b.Q8_0.gguf",
"filename": "stablelm-zephyr-3b.Q8_0.gguf"

26
server/helpers/setup.ts
View File

@ -31,6 +31,32 @@ export async function setup() {
'utf-8'
)
if (!existsSync(join(appDir, 'settings'))) {
console.debug('Writing nvidia config file...')
mkdirSync(join(appDir, 'settings'))
writeFileSync(
join(appDir, 'settings', 'settings.json'),
JSON.stringify(
{
notify: true,
run_mode: 'cpu',
nvidia_driver: {
exist: false,
version: '',
},
cuda: {
exist: false,
version: '',
},
gpus: [],
gpu_highest_vram: '',
gpus_in_use: [],
is_initial: true,
}),
'utf-8'
)
}
/**
* Install extensions
*/

10
server/index.ts
View File

@ -7,6 +7,7 @@ import {
getJanExtensionsPath,
} from '@janhq/core/node'
import { join } from 'path'
import tcpPortUsed from 'tcp-port-used'
// Load environment variables
dotenv.config()
@ -46,6 +47,15 @@ export interface ServerConfig {
* @param configs - Server configurations
*/
export const startServer = async (configs?: ServerConfig): Promise<boolean> => {
if (configs?.port && configs?.host) {
const inUse = await tcpPortUsed.check(Number(configs.port), configs.host)
if (inUse) {
const errorMessage = `Port ${configs.port} is already in use.`
logServer(errorMessage)
throw new Error(errorMessage)
}
}
// Update server settings
isVerbose = configs?.isVerboseEnabled ?? true
hostSetting = configs?.host ?? JAN_API_HOST

5
web/extension/ExtensionManager.ts
View File

@ -83,7 +83,10 @@ export class ExtensionManager {
// Import class
const extensionUrl = window.electronAPI
? extension.url
: extension.url.replace('extension://', `${API_BASE_URL}/extensions/`)
: extension.url.replace(
'extension://',
`${window.core?.api?.baseApiUrl ?? ''}/extensions/`
)
await import(/* webpackIgnore: true */ extensionUrl).then(
(extensionClass) => {
// Register class if it has a default export

5
web/next.config.js
View File

@ -6,6 +6,11 @@ const webpack = require('webpack')
const packageJson = require('./package.json')
const nextConfig = {
eslint: {
// Warning: This allows production builds to successfully complete even if
// your project has ESLint errors.
ignoreDuringBuilds: true,
},
output: 'export',
assetPrefix: '.',
images: {

62
web/screens/LocalServer/index.tsx
View File

@ -39,6 +39,8 @@ import ModalTroubleShooting, {
} from '@/containers/ModalTroubleShoot'
import ServerLogs from '@/containers/ServerLogs'
import { toaster } from '@/containers/Toast'
import { loadModelErrorAtom, useActiveModel } from '@/hooks/useActiveModel'
import { useLogs } from '@/hooks/useLogs'
@ -106,6 +108,45 @@ const LocalServerScreen = () => {
handleChangePort(port)
}, [handleChangePort, port])
const onStartServerClick = async () => {
if (selectedModel == null) return
try {
const isStarted = await window.core?.api?.startServer({
host,
port,
isCorsEnabled,
isVerboseEnabled,
})
await startModel(selectedModel.id)
if (isStarted) setServerEnabled(true)
if (firstTimeVisitAPIServer) {
localStorage.setItem(FIRST_TIME_VISIT_API_SERVER, 'false')
setFirstTimeVisitAPIServer(false)
}
} catch (e) {
console.error(e)
toaster({
title: `Failed to start server!`,
description: 'Please check Server Logs for more details.',
type: 'error',
})
}
}
const onStopServerClick = async () => {
window.core?.api?.stopServer()
setServerEnabled(false)
setLoadModelError(undefined)
}
const onToggleServer = async () => {
if (serverEnabled) {
await onStopServerClick()
} else {
await onStartServerClick()
}
}
return (
<div className="flex h-full w-full" data-testid="local-server-testid">
{/* Left SideBar */}
@ -122,26 +163,7 @@ const LocalServerScreen = () => {
block
themes={serverEnabled ? 'danger' : 'primary'}
disabled={stateModel.loading || errorRangePort || !selectedModel}
onClick={async () => {
if (serverEnabled) {
window.core?.api?.stopServer()
setServerEnabled(false)
setLoadModelError(undefined)
} else {
startModel(String(selectedModel?.id))
const isStarted = await window.core?.api?.startServer({
host,
port,
isCorsEnabled,
isVerboseEnabled,
})
if (isStarted) setServerEnabled(true)
if (firstTimeVisitAPIServer) {
localStorage.setItem(FIRST_TIME_VISIT_API_SERVER, 'false')
setFirstTimeVisitAPIServer(false)
}
}
}}
onClick={onToggleServer}
>
{serverEnabled ? 'Stop' : 'Start'} Server
</Button>

15
web/services/restService.ts
View File

@ -18,11 +18,14 @@ export const restAPI = {
...acc,
[proxy.route]: (...args: any) => {
// For each route, define a function that sends a request to the API
return fetch(`${API_BASE_URL}/v1/${proxy.path}/${proxy.route}`, {
method: 'POST',
body: JSON.stringify(args),
headers: { contentType: 'application/json' },
}).then(async (res) => {
return fetch(
`${window.core?.api.baseApiUrl}/v1/${proxy.path}/${proxy.route}`,
{
method: 'POST',
body: JSON.stringify(args),
headers: { contentType: 'application/json' },
}
).then(async (res) => {
try {
if (proxy.path === 'fs') {
const text = await res.text()
@ -38,6 +41,6 @@ export const restAPI = {
}, {}),
openExternalUrl,
// Jan Server URL
baseApiUrl: API_BASE_URL,
baseApiUrl: process.env.API_BASE_URL ?? API_BASE_URL,
pollingInterval: 5000,
}