mirror of
https://github.com/csunny/DB-GPT.git
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Fix docker build error and modify docker install document (#477)
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commit
7a87a8c9e1
2
.github/workflows/docker-image-publish.yml
vendored
2
.github/workflows/docker-image-publish.yml
vendored
@ -32,4 +32,4 @@ jobs:
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file: ./docker/base/Dockerfile
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platforms: linux/amd64
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push: true
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tags: eosphorosai/dbgpt:${{ github.ref_name }}
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tags: eosphorosai/dbgpt:${{ github.ref_name }},eosphorosai/dbgpt:latest
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@ -4,7 +4,7 @@ SCRIPT_LOCATION=$0
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cd "$(dirname "$SCRIPT_LOCATION")"
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WORK_DIR=$(pwd)
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BASE_IMAGE="nvidia/cuda:11.8.0-devel-ubuntu22.04"
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BASE_IMAGE="nvidia/cuda:11.8.0-runtime-ubuntu22.04"
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IMAGE_NAME="eosphorosai/dbgpt"
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# zh: https://pypi.tuna.tsinghua.edu.cn/simple
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PIP_INDEX_URL="https://pypi.org/simple"
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@ -14,7 +14,7 @@ BUILD_LOCAL_CODE="false"
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LOAD_EXAMPLES="true"
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usage () {
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echo "USAGE: $0 [--base-image nvidia/cuda:11.8.0-devel-ubuntu22.04] [--image-name db-gpt]"
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echo "USAGE: $0 [--base-image nvidia/cuda:11.8.0-runtime-ubuntu22.04] [--image-name db-gpt]"
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echo " [-b|--base-image base image name] Base image name"
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echo " [-n|--image-name image name] Current image name, default: db-gpt"
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echo " [-i|--pip-index-url pip index url] Pip index url, default: https://pypi.org/simple"
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@ -3,46 +3,82 @@ Docker Install
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### Docker (Experimental)
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#### 1. Building Docker image
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#### 1. Preparing docker images
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**Pull docker image from the [Eosphoros AI Docker Hub](https://hub.docker.com/u/eosphorosai)**
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```bash
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$ bash docker/build_all_images.sh
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docker pull eosphorosai/dbgpt:latest
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```
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**(Optional) Building Docker image**
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```bash
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bash docker/build_all_images.sh
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```
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Review images by listing them:
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```bash
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$ docker images|grep db-gpt
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docker images|grep "eosphorosai/dbgpt"
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```
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Output should look something like the following:
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```
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db-gpt-allinone latest e1ffd20b85ac 45 minutes ago 14.5GB
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db-gpt latest e36fb0cca5d9 3 hours ago 14GB
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eosphorosai/dbgpt-allinone latest 349d49726588 27 seconds ago 15.1GB
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eosphorosai/dbgpt latest eb3cdc5b4ead About a minute ago 14.5GB
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```
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`eosphorosai/dbgpt` is the base image, which contains the project's base dependencies and a sqlite database. `eosphorosai/dbgpt-allinone` build from `eosphorosai/dbgpt`, which contains a mysql database.
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You can pass some parameters to docker/build_all_images.sh.
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```bash
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$ bash docker/build_all_images.sh \
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--base-image nvidia/cuda:11.8.0-devel-ubuntu22.04 \
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bash docker/build_all_images.sh \
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--base-image nvidia/cuda:11.8.0-runtime-ubuntu22.04 \
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--pip-index-url https://pypi.tuna.tsinghua.edu.cn/simple \
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--language zh
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```
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You can execute the command `bash docker/build_all_images.sh --help` to see more usage.
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#### 2. Run all in one docker container
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#### 2. Run docker container
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**Run with local model**
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**Run with local model and SQLite database**
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```bash
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$ docker run --gpus "device=0" -d -p 3306:3306 \
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docker run --gpus all -d \
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-p 5000:5000 \
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-e LOCAL_DB_TYPE=sqlite \
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-e LOCAL_DB_PATH=data/default_sqlite.db \
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-e LLM_MODEL=vicuna-13b-v1.5 \
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-e LANGUAGE=zh \
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-v /data/models:/app/models \
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--name dbgpt \
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eosphorosai/dbgpt
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```
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Open http://localhost:5000 with your browser to see the product.
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- `-e LLM_MODEL=vicuna-13b-v1.5`, means we use vicuna-13b-v1.5 as llm model, see /pilot/configs/model_config.LLM_MODEL_CONFIG
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- `-v /data/models:/app/models`, means we mount the local model file directory `/data/models` to the docker container directory `/app/models`, please replace it with your model file directory.
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You can see log with command:
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```bash
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docker logs dbgpt -f
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```
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**Run with local model and MySQL database**
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```bash
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docker run --gpus all -d -p 3306:3306 \
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-p 5000:5000 \
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-e LOCAL_DB_HOST=127.0.0.1 \
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-e LOCAL_DB_PASSWORD=aa123456 \
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-e MYSQL_ROOT_PASSWORD=aa123456 \
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-e LLM_MODEL=vicuna-13b \
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-e LLM_MODEL=vicuna-13b-v1.5 \
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-e LANGUAGE=zh \
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-v /data/models:/app/models \
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--name db-gpt-allinone \
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@ -52,21 +88,21 @@ $ docker run --gpus "device=0" -d -p 3306:3306 \
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Open http://localhost:5000 with your browser to see the product.
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- `-e LLM_MODEL=vicuna-13b`, means we use vicuna-13b as llm model, see /pilot/configs/model_config.LLM_MODEL_CONFIG
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- `-e LLM_MODEL=vicuna-13b-v1.5`, means we use vicuna-13b-v1.5 as llm model, see /pilot/configs/model_config.LLM_MODEL_CONFIG
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- `-v /data/models:/app/models`, means we mount the local model file directory `/data/models` to the docker container directory `/app/models`, please replace it with your model file directory.
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You can see log with command:
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```bash
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$ docker logs db-gpt-allinone -f
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docker logs db-gpt-allinone -f
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```
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**Run with openai interface**
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```bash
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$ PROXY_API_KEY="You api key"
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$ PROXY_SERVER_URL="https://api.openai.com/v1/chat/completions"
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$ docker run --gpus "device=0" -d -p 3306:3306 \
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PROXY_API_KEY="You api key"
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PROXY_SERVER_URL="https://api.openai.com/v1/chat/completions"
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docker run --gpus all -d -p 3306:3306 \
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-p 5000:5000 \
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-e LOCAL_DB_HOST=127.0.0.1 \
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-e LOCAL_DB_PASSWORD=aa123456 \
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4
setup.py
4
setup.py
@ -216,8 +216,8 @@ def torch_requires(
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cuda_version = get_cuda_version()
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if not cuda_version:
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torch_pkgs = [
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f"torch=={torch_version}+cpu",
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f"torchvision=={torchvision_version}+cpu",
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f"torch=={torch_version}",
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f"torchvision=={torchvision_version}",
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f"torchaudio=={torchaudio_version}",
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]
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else:
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