add original celery docker-compose.yaml

#AIRFLOW_IMAGE_NAME=apache/airflow:3.0.4

AIRFLOW_IMAGE_NAME=csst-airflow

AIRFLOW_UID=1000

AIRFLOW_PROJ_DIR=.

_AIRFLOW_WWW_USER_USERNAME=airflow

_AIRFLOW_WWW_USER_PASSWORD=airflow

JWT_SECRET=eyJhbGciOiJIUzUxMiIsInR5cCI6IkpXVCJ9.eyJzdWIiOiJhaXJmbG93IiwiaWF0IjoxNzU1NDQ3NjMxLCJleHAiOjE3ODY5ODM2MzF9.CbxQayEt370iHhvYXhHMESsk1IWmi8QLMOcctIlbicXhybNtBbfboDUdUDMClwvkSuTjC0AOeSHL23pGyy0plQ

CSST_DFS_GATEWAY=10.80.1.22:28000

CSST_DFS_TOKEN=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJleHAiOjQ4ODU0NTA2NjQsInN1YiI6InN5c3RlbSJ9.POsuUABytu8-WMtZiYehiYEa5BnlgqNTXT6X3OTyix0

FROM apache/airflow:3.0.4

COPY requirements.txt .

RUN pip install --upgrade pip

# switch to tsinghua pip/conda source

RUN pip config set global.index-url https://pypi.tuna.tsinghua.edu.cn/simple/ \

    && pip config set global.extra-index-url "https://mirrors.bfsu.edu.cn/pypi/web/simple"

# install requirements

RUN pip install --no-cache-dir -r requirements.txt

all: down pull build init up

pull:

	git pull

mkdir:

	mkdir -p ./dags ./logs ./plugins ./config ./pg_data

	#echo -e "AIRFLOW_UID=$(id -u)" > .env

rmdir:

	rm -rf ./logs ./plugins ./config ./pg_data

build:

	docker build -t csst-airflow . --no-cache

init:

	docker compose up airflow-init

up:

	docker compose up -d

down:

	docker compose down

migrate:

	docker compose run --rm airflow-init airflow db upgrade

clean:

	# 停止服务并清理旧数据

	docker compose rm -sf

ps:

	docker compose ps

restart:

	docker compose restart

astropy

numpy

toml

pyyaml

git+https://csst-tb.bao.ac.cn/code/csst-cicd/csst-dag.git

git+https://csst-tb.bao.ac.cn/code/csst-dfs/csst-dfs-client.git

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