Commit 35769c61 authored by Zhang Xiaoli's avatar Zhang Xiaoli
Browse files

ifs,mci测试成功。

parent e6af09b1
FROM csst/csst-ifs-l1-rss:latest FROM csu-harbor.csst.nao:10443/csst/csst-ifs-l1-rss:latest
LABEL maintainer="Xiaoli Zhang<zhangxiaoli@cnic.cn>"
USER root USER root
COPY run.sh /app/bin/ COPY run.sh /app/bin/
RUN chmod +x /app/bin/run.sh RUN chmod +x /app/bin/run.sh
COPY --from=hub.cstcloud.cn/scalebox/base /usr/local/sbin /usr/local/sbin COPY --from=hub.cstcloud.cn/scalebox/agent /usr/local /usr/local
# RUN mkdir /work/ RUN mkdir /work/
# WORKDIR /work/ RUN chown -R csst:csst /work
WORKDIR /L1Pipeline/workspace RUN chown -R csst:csst /pipeline
WORKDIR /work/
USER csst
ENTRYPOINT ["goagent"] ENTRYPOINT ["goagent"]
......
IMAGE_NAME:=cnic/csst-ifs-l1-rss IMAGE_NAME:=cnic/csst-ifs-l1-rss
IMAGE_PATH:=/sharewcl/temp IMAGE_PATH:=/nfs/tmp/scalebox-images
build: build:
docker pull csu-harbor.csst.nao:10443/csst/csst-ifs-l1-rss
docker build --network=host -t $(IMAGE_NAME) . docker build --network=host -t $(IMAGE_NAME) .
dist: build dist: build
#docker save $(IMAGE_NAME) | zstdmt | pv | ssh c0 'zstd -d | docker load' #docker save $(IMAGE_NAME) | zstdmt | pv | ssh c0 'zstd -d | docker load'
docker save $(IMAGE_NAME) > $(IMAGE_PATH)/ifs-l1-rss.tar docker save $(IMAGE_NAME) > $(IMAGE_PATH)/ifs-l1-rss.tar
ssh c0 docker load -i $(IMAGE_PATH)/ifs-l1-rss.tar ssh sc1 docker load -i $(IMAGE_PATH)/ifs-l1-rss.tar
ssh c1 docker load -i $(IMAGE_PATH)/ifs-l1-rss.tar ssh sc2 docker load -i $(IMAGE_PATH)/ifs-l1-rss.tar
ssh c2 docker load -i $(IMAGE_PATH)/ifs-l1-rss.tar ssh sc3 docker load -i $(IMAGE_PATH)/ifs-l1-rss.tar
ssh n0 docker load -i $(IMAGE_PATH)/ifs-l1-rss.tar
ssh n1 docker load -i $(IMAGE_PATH)/ifs-l1-rss.tar
push: push:
docker push $(IMAGE_NAME) docker push $(IMAGE_NAME)
run: run:
......
#!/bin/bash #!/bin/bash
# obsid="30100000001"
obsid=$1 message=$1
echo "message: "$message
# python l1_pipeline_script_mci_shao_simdata.py $obsid > ./stdout cd /pipeline/output/
#python /L1Pipeline/workspace/helloworld.py $obsid python /pipeline/app/run.py $message
# python l1_pipeline_script_ifs_rss_simdata.py $obsid
python l1_pipeline_script_ifs_rss_simdata.py $obsid
exit_code=$? exit_code=$?
mkdir -p /work echo "=====pipeline.log====" > /work/custom-out.txt
# echo "=====csst-l1-ifs-rss.log====" > /work/user-file.txt cat /pipeline/output/pipeline.log >> /work/custom-out.txt
# cat /L1Pipeline/workspace/ifs/rss/proc_data/path_RSSlog.txt >> /work/user-file.txt
# rm -rf /L1Pipeline/L0/* /L1Pipeline/L1/* echo "======module.log======" >> /work/custom-out.txt
cat /pipeline/output/module.log|tail -n 100 >> /work/custom-out.txt
# mv /tmp/timestamps.txt /work/timestamps.txt
echo finish ifs rss. timefile=/pipeline/output/timestamp.txt
if test -f "$timefile"; then
echo "$timefile exist"
mv /pipeline/output/timestamp.txt /work/timestamps.txt
fi
exit_code=$? rm -rf /pipeline/input/* /pipeline/output/*
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 [ $exit_code -eq 0 ]; then
# scalebox task add --header dag_run_id=${dag_run_id} --header repeatable=yes --upsert ${message}
echo "finish ifs-l1-rss."
else
echo "finish ifs-l1-rss, exit_code: $exit_code"
fi
exit $exit_code
FROM csst/csst-mci-l1:latest FROM csu-harbor.csst.nao:10443/csst/csst-mci-l1:latest
LABEL maintainer="Xiaoli Zhang<zhangxiaoli@cnic.cn>"
USER root
COPY run.sh /app/bin/ COPY run.sh /app/bin/
RUN chmod +x /app/bin/run.sh RUN chmod +x /app/bin/run.sh
COPY --from=hub.cstcloud.cn/scalebox/base /usr/local/sbin /usr/local/sbin COPY --from=hub.cstcloud.cn/scalebox/agent /usr/local /usr/local
RUN mkdir /work/ RUN mkdir /work/
RUN chown -R csst:csst /work
RUN chown -R csst:csst /pipeline
WORKDIR /work/ WORKDIR /work/
USER csst
ENTRYPOINT ["goagent"] ENTRYPOINT ["goagent"]
IMAGE_NAME:=cnic/csst-mci-l1 IMAGE_NAME:=cnic/csst-mci-l1
IMAGE_PATH:=/sharewcl/temp IMAGE_PATH:=/nfs/tmp/scalebox-images
build: build:
docker pull csu-harbor.csst.nao:10443/csst/csst-mci-l1
docker build --network=host -t $(IMAGE_NAME) . docker build --network=host -t $(IMAGE_NAME) .
dist: build dist: build
#docker save $(IMAGE_NAME) | zstdmt | pv | ssh c0 'zstd -d | docker load' #docker save $(IMAGE_NAME) | zstdmt | pv | ssh c0 'zstd -d | docker load'
docker save $(IMAGE_NAME) > $(IMAGE_PATH)/mci-l1.tar docker save $(IMAGE_NAME) > $(IMAGE_PATH)/mci-l1.tar
ssh c0 docker load -i $(IMAGE_PATH)/mci-l1.tar ssh sc3 docker load -i $(IMAGE_PATH)/mci-l1.tar
ssh c1 docker load -i $(IMAGE_PATH)/mci-l1.tar ssh sc1 docker load -i $(IMAGE_PATH)/mci-l1.tar
ssh c2 docker load -i $(IMAGE_PATH)/mci-l1.tar ssh sc2 docker load -i $(IMAGE_PATH)/mci-l1.tar
ssh n0 docker load -i $(IMAGE_PATH)/mci-l1.tar
ssh n1 docker load -i $(IMAGE_PATH)/mci-l1.tar
push: push:
docker push $(IMAGE_NAME) docker push $(IMAGE_NAME)
run: run:
......
#!/bin/bash #!/bin/bash
message=$1
echo "message: "$message
# obsid="30100000001" cd /pipeline/output/
python /pipeline/app/run.py $message
# python l1_pipeline_script_ifs_rss_simdata.py $obsid
obsid=$1 exit_code=$?
python /L1Pipeline/workspace/l1_pipeline_script_mci_shao_simdata.py $obsid echo "=====pipeline.log====" > /work/custom-out.txt
cat /pipeline/output/pipeline.log >> /work/custom-out.txt
exit_code=$? 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
mkdir -p /work rm -rf /pipeline/input/* /pipeline/output/*
# echo "=====csst-l1-ifs-rss.log====" > /work/user-file.txt
# cat /L1Pipeline/workspace/ifs/rss/proc_data/path_RSSlog.txt >> /work/user-file.txt
# rm -rf /L1Pipeline/L0/* /L1Pipeline/L1/* headers=$2
pattern='"dag_run_id":"([^"]+)"'
if [[ $headers =~ $pattern ]]; then
dag_run_id="${BASH_REMATCH[1]}"
echo "dag_run_id: $dag_run_id"
else
# no dag_run_id in json
dag_run_id=""
fi
# mv /tmp/timestamps.txt /work/timestamps.txt echo "dag_run_id:$dag_run_id" >> /work/extra-attributes.txt
echo finish mci pipeline. if [ $exit_code -eq 0 ]; then
# scalebox task add --header dag_run_id=${dag_run_id} --header repeatable=yes --upsert ${message}
echo "finish mci."
else
echo "finish mci, exit_code: $exit_code"
fi
exit $exit_code exit $exit_code
# python /L1Pipeline/workspace/l1_pipeline_script_mci_shao_simdata.py $obsid
Markdown is supported
0% or .
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment