remove redundant modules

L1/dockerfiles/csst-msc-l1-sls-extraction-zero/Dockerfile

-FROM csu-harbor.csst.nao:10443/csst/csst-msc-l1-sls-extraction-zero
-
-USER root
-COPY run.sh /app/bin/
-RUN chmod +x /app/bin/run.sh
-COPY --from=hub.cstcloud.cn/scalebox/base /usr/local/sbin /usr/local/sbin
-
-RUN mkdir /work/ 
-RUN chown -R csst:csst /work
-RUN chown -R csst:csst /pipeline
-WORKDIR /work/
-
-USER csst
-
-ENTRYPOINT ["goagent"]

L1/dockerfiles/csst-msc-l1-sls-extraction-zero/Makefile

-IMAGE_NAME:=csu-harbor.csst.nao:10443/cnic/csst-msc-l1-sls-extraction-zero
-IMAGE_PATH:=/nfs/tmp/scalebox-images
-all: build push dist
-build:
-	docker pull csu-harbor.csst.nao:10443/csst/csst-msc-l1-sls-extraction-zero
-	docker build --network=host -t $(IMAGE_NAME) .
-push:
-	docker push $(IMAGE_NAME)
-dist: 
-	ssh sc1 docker pull $(IMAGE_NAME)
-	ssh sc2 docker pull $(IMAGE_NAME)
-	ssh sc3 docker pull $(IMAGE_NAME)
-run:
-	docker run -it --entrypoint bash $(IMAGE_NAME)
-down:
-	docker stop $(IMAGE_NAME)
-

L1/dockerfiles/csst-msc-l1-sls-extraction-zero/run.sh

-#!/bin/bash
-
-#TRACE=yes 临时办法
-rm -rf /work/*
-
-message=$1
-echo "message: "$message
-
-cd /pipeline/output/
-python /pipeline/app/run.py $obsid $detector
-
-exit_code=$?
-
-echo "=====pipeline.log====" > /work/custom-out.txt
-cat /pipeline/output/pipeline.log >> /work/custom-out.txt
-
-
-echo "======module.log======" >> /work/custom-out.txt
-cat /pipeline/output/module.log|tail -n 100 >> /work/custom-out.txt
-
-
-timefile=/pipeline/output/timestamp.txt
-if test -f "$timefile"; then
-    echo "$timefile exist"
-    mv /pipeline/output/timestamp.txt /work/timestamps.txt
-fi
-
-
-headers=$2
-pattern='"dag_run_id":"([^"]+)"'
-if [[ $headers =~ $pattern ]]; then
-    dag_run_id="${BASH_REMATCH[1]}"
-    echo "dag_run_id: $dag_run_id"
-else
-    # no dag_run_id in json
-    dag_run_id=""
-fi
-
-echo "dag_run_id:$dag_run_id" >> /work/extra-attributes.txt
-if [ $exit_code -eq 0 ]; then  
-  echo finish sls-extraction-zero.
-  # scalebox task add $1
-else  
-  echo "finish sls-extraction-zero, exit_code: $exit_code"  
-fi
-
-rm -rf /pipeline/input/* /pipeline/output/*
-
-exit $exit_code

L1/dockerfiles/csst-msc-l1-sls-extraction-zero/test/Makefile

-CLUSTER=csst-nao
-
-all: reset build
-
-run:
-# PGHOST=192.168.25.27 GRPC_SERVER=192.168.25.27 scalebox app create --env-file csu.env
-	PGPORT=9090 scalebox app create --env-file nao.env
-reset:
-	cd ${HOME}/docker-scalebox/clusters/$(CLUSTER) && make && cd -
-
-down:
-	make -C ${HOME}/docker-scalebox/clusters/$(CLUSTER) down
-
-list:
-	make -C ${HOME}/docker-scalebox/clusters/$(CLUSTER) list
-

L1/dockerfiles/csst-msc-l1-sls-extraction-zero/test/add_task.sh

-#!/bin/bash
-
-
-POSTGRES_USER=scalebox
-POSTGRES_HOST=localhost
-POSTGRES_DB=scalebox
-PGPORT=5432
-
-job_id=$1
-
-# obsid="test.txt"
-obsid="/nfsdata/share/pipeline-inttest/run-batch-msc/msg-sls-all.txt"
-while IFS= read -r line
-do
-  m="$line"
-  arr=($(echo $m | tr " " " "))
-  obsid="${arr[0]}"
-  detector="${arr[1]}"
-  msg=$obsid-$detector
-  echo $msg
-  docker exec -t database psql -U ${POSTGRES_USER} -h ${POSTGRES_HOST} -d ${POSTGRES_DB} -p ${PGPORT}\
-        -c "INSERT INTO t_task(job,key_message) VALUES(${job_id},'${msg}')"
-done < $obsid
-~

L1/dockerfiles/csst-msc-l1-sls-extraction-zero/test/app.yaml

-name: msc-l1-sls-extraction-zero.app.process
-label: 无缝光谱抽谱流水线
-comment: 主巡天无缝光谱抽谱流水线
-cluster: csst-nao
-parameters:
-  initial_status: RUNNING
-  
-jobs:
-  msc-l1-sls-extraction-zero:
-    label: 无缝光谱抽谱
-    base_image: cnic/csst-msc-l1-sls-extraction-zero
-    # schedule_mode: HEAD
-    variables:
-      # always_running: yes
-      # reserved_on_exit: yes
-      output_text_size: 100000
-      text_tranc_mode: TAIL
-      locale_mode: NONE
-      # grpc_server: 172.24.23.6:50051      
-    parameters:
-      # start_message: 10160000068
-      key_group_regex: ^(.{6})(.{3})$
-      key_group_seq: 1,2
-    environments:
-      - CSST_DFS_API_MODE=${CSST_DFS_API_MODE}
-      - CSST_DFS_GATEWAY=${CSST_DFS_GATEWAY}
-      - CSST_DFS_APP_ID=${CSST_DFS_APP_ID}
-      - CSST_DFS_APP_TOKEN=${CSST_DFS_APP_TOKEN}
-      - CCDS_SERVER_URL=${CCDS_SERVER_URL}
-    paths: 
-      - ${CSST_AUX_ROOT}:/pipeline/aux:ro
-      - ${CSST_DFS_ROOT}:/dfs_root:ro
-      - ${CCDS_ROOT}:/ccds_root:ro
-      - ${CSST_AST_TEMP}:/pipeline/temp:rw
-    # command: docker run -d --network=host %ENVS% %VOLUMES% %IMAGE%
-    hosts:
-      - h0:5
-      - c0:10
-      # - c1:1
-      # - c2:1
-      
-
-      

L1/dockerfiles/csst-msc-l1-sls-extraction-zero/test/nao.env

-# DFS
-CSST_DFS_GATEWAY=10.3.10.28:30880
-CSST_DFS_API_MODE=cluster
-CSST_DFS_APP_ID=test
-CSST_DFS_APP_TOKEN=test
-CSST_DFS_LOGS_DIR="."
-
-# CCDS
-CCDS_SERVER_URL=http://10.3.10.28:29000
-CCDS_USER=USER
-CCDS_PASS=PASS
-
-# VOLUMES
-CSST_DFS_ROOT=/nfsdata/share/dfs/dfs_root                   # /dfs_root:ro
-CCDS_ROOT=/nfsdata/share/dfs/ccds_root                      # /ccds_root:ro
-CSST_AUX_ROOT=/nfsdata/share/pipeline-inttest/aux           # /pipeline/aux:ro
-CSST_AST_TEMP=/nfsdata/share/pipeline-inttest/ast_temp      # /pipeline/temp:rw
-

L1/dockerfiles/csst-msc-l1-sls/Dockerfile

-FROM csu-harbor.csst.nao:10443/csst/csst-msc-l1-sls
-
-USER root
-# 安装jq
-RUN apt-get update \
-    && apt-get install -y --no-install-recommends jq \
-    && apt-get clean \
-    && rm -rf /var/lib/apt/lists/*
-COPY run.sh /app/bin/
-RUN chmod +x /app/bin/run.sh
-COPY --from=hub.cstcloud.cn/scalebox/agent /usr/local /usr/local
-
-RUN mkdir /work/ 
-RUN chown -R csst:csst /work
-RUN chown -R csst:csst /pipeline
-WORKDIR /work/
-
-USER csst
-
-ENTRYPOINT ["goagent"]

L1/dockerfiles/csst-msc-l1-sls/Makefile

-IMAGE_NAME:=csu-harbor.csst.nao:10443/cnic/csst-msc-l1-sls
-TAG?=latest
-all: build push dist
-build:
-	docker pull csu-harbor.csst.nao:10443/csst/csst-msc-l1-sls:$(TAG)
-	docker build --network=host -t $(IMAGE_NAME) .
-push:
-	docker push $(IMAGE_NAME)
-dist: 
-	ssh sc1 docker pull $(IMAGE_NAME)
-	ssh sc2 docker pull $(IMAGE_NAME)
-	ssh sc3 docker pull $(IMAGE_NAME)
-run:
-	docker run -it --entrypoint bash $(IMAGE_NAME)
-down:
-	docker stop $(IMAGE_NAME)
-scp:
-	scp -r ./ tencent-p0:/root/csst/csst-msc-l1-sls/
-save:
-	docker save $(IMAGE_NAME) >  $(IMAGE_PATH)/msc-l1-sls.tar

L1/dockerfiles/csst-msc-l1-sls/readme.md

-# 在beta进行单核测试
-## cpu
---cpuset-cpus="1"
-- taskid 48060
-- messagetxt 10609200000664-10
-
---cpuset-cpus="2"
-- taskid 48097
-- messagetxt 10609200000512-01
-
-docker run -d --network=host --rm  -e JOB_NAME=msc-l1-sls -e MAX_SLEEP_COUNT=20 -e TEXT_TRANC_MODE=TAIL -e LOCAL_IP_INDEX=1 -e SINK_JOB=msc-l1-sls-extraction-zero -e CSST_DFS_APP_TOKEN=test -e CCDS_SERVER_URL=http://10.3.10.28:29000 -e CLUSTER=csst-nao -e JOB_ID=79 -e GRPC_SERVER=10.3.10.28 -e OUTPUT_TEXT_SIZE=100000 -e CSST_DFS_API_MODE=cluster -e CSST_DFS_GATEWAY=10.3.10.28:30880 -e CSST_DFS_APP_ID=test  -v /nfsdata/share/pipeline-inttest/aux:/pipeline/aux:ro -v /nfsdata/share/dfs/dfs_root:/dfs_root:ro -v /nfsdata/share/dfs/ccds_root:/ccds_root:ro -v /nfsdata/share/pipeline-inttest/ast_temp:/pipeline/temp:rw -v /etc/localtime:/etc/localtime:ro -v /:/local -v /share/scalebox/mydata/:/data cnic/csst-msc-l1-sls
\ No newline at end of file

L1/dockerfiles/csst-msc-l1-sls/run.sh

-#!/bin/bash
-
-#TRACE=yes 临时办法
-rm -rf /work/*
-
-message=$1
-echo "message: "$message
-headers=$(echo "$2" | sed 's/\\//g')
-
-echo "$headers" | jq '.'
-echo "headers: $headers"
-
-has_data_list=$(echo "$headers" | jq 'has("data_list")')
-
-if [ "$has_data_list" = "true" ]; then
-    # 提取 data_list 字段的值
-    data_list=$(echo "$headers" | jq -r '.data_list')
-    fixed_data_list=$(echo "$data_list" | sed 's/\([a-f0-9]\{24\}\)/"\1"/g')
-    # 将 data_list 重新插入回 message
-    message=$(echo "$message" | jq --argjson dl "$fixed_data_list" '. + {data_list: $dl}')
-    message=$(echo "$message" | jq -c '.')
-fi
-
-cd /pipeline/output/
-# python /pipeline/app/run.py $message
-run -p $message
-
-exit_code=$?
-
-echo "=====pipeline.log====" > /work/custom-out.txt
-cat /pipeline/output/pipeline.log >> /work/custom-out.txt
-
-
-# echo "======module.log======" >> /work/custom-out.txt
-# cat /pipeline/output/module.log|tail -n 100 >> /work/custom-out.txt
-
-timefile=/pipeline/output/timestamps.txt
-if test -f "$timefile"; then
-    echo "$timefile exist"
-    mv /pipeline/output/timestamps.txt /work/timestamps.txt
-fi
-
-headers=$2
-pattern='"dag_run_id":"([^"]+)"'
-if [[ $headers =~ $pattern ]]; then
-    dag_run_id="${BASH_REMATCH[1]}"
-    echo "dag_run_id: $dag_run_id"
-else
-    # no dag_run_id in json
-    dag_run_id=""
-fi
-echo "dag_run_id:$dag_run_id" >> /work/extra-attributes.txt
-# pattern='"sorted_tag":"([^"]+)"'
-# if [[ $headers =~ $pattern ]]; then
-#     sorted_tag="${BASH_REMATCH[1]}"
-#     echo "sorted_tag: $sorted_tag"
-# else
-#     # no sorted_tag in json
-#     sorted_tag=1
-# fi
-
-if [ $exit_code -eq 0 ]; then  
-  echo "finish sls."  
-#   scalebox task add --header sorted_tag=${sorted_tag} --header dag_run_id=${dag_run_id} --header repeatable=yes --upsert ${message}
-else  
-  echo "finish sls, exit_code: $exit_code"  
-fi
-
-
-rm -rf /pipeline/input/* /pipeline/output/*
-
-exit $exit_code

L1/dockerfiles/csst-msc-l1-sls/test/Makefile

-CLUSTER=csst-nao
-
-# all: reset build
-
-run:
-	PGPORT=9090 scalebox app create --env-file nao.env
-
-reset:
-	cd ${HOME}/docker-scalebox/clusters/$(CLUSTER) && make && cd -
-
-down:
-	make -C ${HOME}/docker-scalebox/clusters/$(CLUSTER) down
-
-list:
-	make -C ${HOME}/docker-scalebox/clusters/$(CLUSTER) list
-

L1/dockerfiles/csst-msc-l1-sls/test/add_task.sh

-
-#!/bin/bash
-
-POSTGRES_USER=scalebox
-POSTGRES_HOST=localhost
-POSTGRES_DB=scalebox
-PGPORT=5432
-
-job_id=$1
-
-obsid="/nfsdata/share/pipeline-inttest/run-batch-msc/msg-sls-all.txt"
-while IFS= read -r line
-do
-  m="$line"
-  arr=($(echo $m | tr " " " "))
-  obsid="${arr[0]}"
-  detector="${arr[1]}"
-  msg=$obsid-$detector
-  echo $msg
-  docker exec -t database psql -U ${POSTGRES_USER} -h ${POSTGRES_HOST} -d ${POSTGRES_DB} -p ${PGPORT}\
-        -c "INSERT INTO t_task(job,key_message) VALUES(${job_id},'${msg}')"
-done < $obsid
-~

L1/dockerfiles/csst-msc-l1-sls/test/app.yaml

-name: msc-l1-sls.app.process
-label: 无缝光谱
-comment: 主巡天无缝光谱一级流水线
-cluster: csst-nao
-parameters:
-  initial_status: RUNNING
-
-jobs:
-  msc-l1-sls:
-    label: 无缝光谱
-    base_image: cnic/csst-msc-l1-sls
-    # schedule_mode: HEAD
-    variables:
-      # always_running: yes
-      # reserved_on_exit: yes
-      # DFS入库错误重试3次
-      # retry_rules: "['202:3']"
-      output_text_size: 100000
-      text_tranc_mode: TAIL
-      locale_mode: NONE
-      # grpc_server: 172.24.23.6:50051
-    parameters:
-      key_group_regex: ^(.{6})(.{3})$
-      key_group_seq: 1,2
-    environments:
-      - CSST_DFS_API_MODE=${CSST_DFS_API_MODE}
-      - CSST_DFS_GATEWAY=${CSST_DFS_GATEWAY}
-      - CSST_DFS_APP_ID=${CSST_DFS_APP_ID}
-      - CSST_DFS_APP_TOKEN=${CSST_DFS_APP_TOKEN}
-      - CCDS_SERVER_URL=${CCDS_SERVER_URL}
-    paths: 
-      - ${CSST_AUX_ROOT}:/pipeline/aux:ro
-      - ${CSST_DFS_ROOT}:/dfs_root:ro
-      - ${CCDS_ROOT}:/ccds_root:ro
-      - ${CSST_AST_TEMP}:/pipeline/temp:rw
-    # sink_jobs:
-    hosts:
-     - h0:10
-     - c0:20
-    #  - c1:3
-    #  - c2:3

L1/dockerfiles/csst-msc-l1-sls/test/nao.env

-# DFS
-CSST_DFS_GATEWAY=10.3.10.28:30880
-CSST_DFS_API_MODE=cluster
-CSST_DFS_APP_ID=test
-CSST_DFS_APP_TOKEN=test
-CSST_DFS_LOGS_DIR="."
-
-# CCDS
-CCDS_SERVER_URL=http://10.3.10.28:29000
-CCDS_USER=USER
-CCDS_PASS=PASS
-
-# VOLUMES
-CSST_DFS_ROOT=/nfsdata/share/dfs/dfs_root                   # /dfs_root:ro
-CCDS_ROOT=/nfsdata/share/dfs/ccds_root                      # /ccds_root:ro
-CSST_AUX_ROOT=/nfsdata/share/pipeline-inttest/aux           # /pipeline/aux:ro
-CSST_AST_TEMP=/nfsdata/share/pipeline-inttest/ast_temp      # /pipeline/temp:rw
-

L1/dockerfiles/csst-msc-l1-sls/test/tencent.env

-# *.env: The env variables are used for running pipeline.
-
-# TCC
-
-# ENV_FILE=tcc.env
-
-# DFS
-CSST_DFS_API_MODE=cluster
-CSST_DFS_GATEWAY=10.0.0.136:30880
-CSST_DFS_APP_ID=test
-CSST_DFS_APP_TOKEN=test
-# CRDS
-CRDS_SERVER_URL=http://10.0.0.136:29000
-
-# VOLUMES ==================
-CSST_DFS_ROOT=/goosefsx/x-c70-y4s971cs-proxy/dfs
-CSST_CRDS_ROOT=/goosefsx/x-c70-y4s971cs-proxy/crdsdata/data
-CSST_AUX_DIR=/goosefsx/x-c70-y4s971cs-proxy/pipeline/aux
-

L1/dockerfiles/csst-msc-l1-sls/test/zjs-ztm.env

-# DFS
-CSST_DFS_API_MODE=cluster
-CSST_DFS_GATEWAY=172.24.27.2:30880
-CSST_DFS_APP_ID=test
-CSST_DFS_APP_TOKEN=test
-# CRDS
-CRDS_SERVER_URL=http://172.24.27.2:29000
-
-# VOLUMES ==================
-CSST_DFS_ROOT=/share/dfs
-CSST_CRDS_ROOT=/share/crdsdata/data
-CSST_AUX_DIR=/share/pipeline/aux

L1/dockerfiles/csst-msc-l1-sls/test/zjs.env

-# DFS
-CSST_DFS_API_MODE=cluster
-CSST_DFS_GATEWAY=172.24.27.2:30880
-CSST_DFS_APP_ID=test
-CSST_DFS_APP_TOKEN=test
-# CRDS
-CRDS_SERVER_URL=http://172.24.27.2:29000
-
-# VOLUMES ==================
-CSST_DFS_ROOT=/sharewcl/dfs
-CSST_CRDS_ROOT=/sharewcl/crdsdata/data
-CSST_AUX_DIR=/sharewcl/pipeline/aux

L1/dockerfiles/csst-msc-l1-sls1d/adm/Dockerfile

-FROM csst/csst-msc-l1-sls1d:latest
-
-USER root
-COPY run.sh /app/bin/
-RUN chmod +x /app/bin/run.sh
-
-COPY --from=hub.cstcloud.cn/scalebox/base /usr/local/sbin/ /usr/local/sbin/
-RUN mkdir -p /work && echo "PATH=/app/bin:\${PATH}" >> /root/.bashrc
-# RUN mkdir -p /work /app/bin && echo "PATH=/app/bin:\${PATH}" >> /root/.bashrc
-WORKDIR /work
-
-ENTRYPOINT [ "goagent" ]

L1/dockerfiles/csst-msc-l1-sls1d/adm/Makefile

-IMAGE_NAME:=cnic/csst-msc-l1-sls1d-adm
-IMAGE_PATH:=/goosefsx/x-c70-y4s971cs-proxy/temp
-build:
-	docker build --network=host -t $(IMAGE_NAME) .
-
-dist: build
-#docker save $(IMAGE_NAME) | zstdmt | pv | ssh c0 'zstd -d | docker load'
-	docker save $(IMAGE_NAME) > $(IMAGE_PATH)/msc-l1-sls1d-adm.tar
-	ssh c0 docker load -i $(IMAGE_PATH)/msc-l1-sls1d-adm.tar
-push:
-	docker push $(IMAGE_NAME)
-run:
-	docker run -it --entrypoint bash $(IMAGE_NAME)
-down:
-	docker stop $(IMAGE_NAME)
-scp:
-	scp -r ./ tencent-p0:/root/csst/csst-msc-l1-sls1d/adm/
-save:
-	docker save $(IMAGE_NAME) > $(IMAGE_PATH)/msc-l1-sls1d-adm.tar
\ No newline at end of file