Compass sidis #746
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| # A single CI script with github workflow. | |
| name: Automatic Fit | |
| # start job only for PRs when a label is added. | |
| on: | |
| pull_request: | |
| types: [labeled] | |
| # some general variables | |
| env: | |
| N3FIT_MAXNREP: 20 # total number of replicas to fit | |
| POSTFIT_NREP: 16 # requested replicas for postfit | |
| REFERENCE_SET: NNBOT-b1374cba6-2024-11-28 # reference set for exact results | |
| STABLE_REFERENCE_SET: NNBOT-c0f99b7b3-2024-02-28 # reference set for last tag | |
| PYTHONHASHSEED: "0" | |
| jobs: | |
| fitbot: | |
| # perform build only if PR has run-fit-bot label | |
| if: contains(github.event.pull_request.labels.*.name, 'run-fit-bot') | |
| runs-on: ubuntu-latest | |
| steps: | |
| - uses: actions/checkout@v4 | |
| with: | |
| fetch-tags: true | |
| fetch-depth: 0 | |
| - uses: conda-incubator/setup-miniconda@v3 | |
| with: | |
| python-version: "3.12" | |
| use-mamba: true | |
| channels: conda-forge | |
| show-channel-urls: true | |
| auto-update-conda: true | |
| activate-environment: nnpdfenv | |
| - name: Install lhapdf, pandoc and mongodb | |
| shell: bash -l {0} | |
| run: | | |
| conda install lhapdf pandoc mongodb | |
| - name: Install nnpdf with pip | |
| shell: bash -l {0} | |
| run: | | |
| pip install . | |
| # create fancy runcards | |
| - name: Preparing fit runcard | |
| run: | | |
| # set runcard name | |
| export COMMIT=`git rev-parse --short HEAD` | |
| export TIMESTAMP=`date --iso-8601` | |
| echo "RUNCARD=NNBOT-$COMMIT-$TIMESTAMP" >> $GITHUB_ENV | |
| echo "RUNFOLDER=n3fit/runcards/examples" >> $GITHUB_ENV | |
| # downloading theory, t0 and eko | |
| - name: Downloading requirements | |
| shell: bash -l {0} | |
| run: | | |
| cd $RUNFOLDER | |
| cp developing.yml $RUNCARD.yml | |
| vp-setupfit $RUNCARD.yml | |
| # run n3fit replicas sequentially | |
| - name: Running n3fit | |
| shell: bash -l {0} | |
| run: | | |
| cd $RUNFOLDER | |
| for ((i=1; i<=$N3FIT_MAXNREP; i+=1)); do n3fit $RUNCARD.yml $i ; done | |
| # performing DGLAP | |
| - name: Running dglap | |
| shell: bash -l {0} | |
| run: | | |
| cd $RUNFOLDER | |
| evolven3fit evolve $RUNCARD | |
| # running postfit and upload the fit to the server | |
| - name: Install SSH key | |
| uses: shimataro/ssh-key-action@v2 | |
| with: | |
| key: ${{ secrets.NNPDF_SSA }} | |
| name: id_rsa | |
| known_hosts: ${{ secrets.NNPDF_HOSTS_KEY }} | |
| - name: Postfit and upload fit | |
| shell: bash -l {0} | |
| run: | | |
| conda activate nnpdfenv | |
| cd $RUNFOLDER | |
| postfit $POSTFIT_NREP $RUNCARD | |
| res=$(vp-upload $RUNCARD 2>&1) | |
| echo ${res} | |
| while echo ${res} | grep ERROR >/dev/null | |
| do | |
| sleep 30s | |
| res=$(vp-upload $RUNCARD 2>&1) | |
| done | |
| url=$( echo "${res}" | grep https ) | |
| echo "FIT_URL=$url" >> $GITHUB_ENV | |
| # running validphys report | |
| - name: Building and upload report | |
| shell: bash -l {0} | |
| run: | | |
| conda activate nnpdfenv | |
| vp-comparefits $RUNCARD $REFERENCE_SET \ | |
| --title "Automatic check fit $RUNCARD" \ | |
| --author bot \ | |
| --keywords run-fit-bot \ | |
| --thcovmat_if_present | |
| url=$(vp-upload output/ 2>&1 | grep https) | |
| echo "REPORT_URL=$url" >> $GITHUB_ENV | |
| vp-comparefits $RUNCARD $STABLE_REFERENCE_SET \ | |
| --title "Automatic check fit $RUNCARD with respect to latest tag" \ | |
| --author bot \ | |
| --keywords run-fit-bot \ | |
| --thcovmat_if_present \ | |
| -o tagged_output | |
| url=$(vp-upload tagged_output/ 2>&1 | grep https) | |
| echo "REPORT_URL_STABLE=$url" >> $GITHUB_ENV | |
| # write reminder | |
| - name: Write summary on PR | |
| uses: unsplash/comment-on-pr@master | |
| env: | |
| GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }} | |
| with: | |
| msg: | | |
| Greetings from your nice fit :robot: ! | |
| I have good news for you, I just finished my tasks: | |
| - Fit Name: ${{ env.RUNCARD }} | |
| - Fit Report wrt master: ${{ env.REPORT_URL }} | |
| - Fit Report wrt latest stable reference: ${{ env.REPORT_URL_STABLE }} | |
| - Fit Data: ${{ env.FIT_URL }} | |
| Check the report **carefully**, and please buy me a :coffee: , or better, a GPU :wink:! |