export # export variables to subshells PIP_INSTALL = pip3 install GIT_CLONE = git clone PYTHON = python3 PYTEST_ARGS = -W 'ignore::DeprecationWarning' -W 'ignore::FutureWarning' MODEL = qurator-gt4histocr-1.0 # BEGIN-EVAL makefile-parser --make-help Makefile help: @echo "" @echo " Targets" @echo "" @echo " install Install ocrd_calamari" @echo " $(MODEL) Get Calamari model (from SBB)" @echo " actevedef_718448162 Download example data" @echo " deps-test Install testing python deps via pip" @echo " repo/assets Clone OCR-D/assets to ./repo/assets" @echo " test/assets Setup test assets" @echo " assets-clean Remove symlinks in test/assets" @echo " test Run unit tests" @echo " coverage Run unit tests and determine test coverage" @echo "" @echo " Variables" @echo "" @echo " PYTHON '$(PYTHON)'" @echo " PIP_INSTALL '$(PIP_INSTALL)'" @echo " GIT_CLONE '$(GIT_CLONE)'" @echo " MODEL '$(MODEL)'" # END-EVAL # Install ocrd_calamari install: $(PIP_INSTALL) . # Get GT4HistOCR Calamari model (from SBB) $(MODEL): ocrd resmgr download ocrd-calamari-recognize $@ # Download example data (not used currently) actevedef_718448162: wget https://qurator-data.de/examples/actevedef_718448162.zip \ && unzip actevedef_718448162.zip \ && rm actevedef_718448162.zip # # Assets and Tests # # Install testing python deps via pip deps-test: $(PIP_INSTALL) -r requirements-test.txt deps-test-ubuntu: deps-test apt-get install -y make git curl wget imagemagick # Clone OCR-D/assets to ./repo/assets repo/assets: mkdir -p $(dir $@) git clone https://github.com/OCR-D/assets "$@" # Setup test assets test/assets: repo/assets mkdir -p $@ cp -r -t $@ repo/assets/data/* # Remove symlinks in test/assets assets-clean: rm -rf test/assets # Run unit tests test: test/assets $(MODEL) # declare -p HTTP_PROXY $(PYTHON) -m pytest --continue-on-collection-errors test $(PYTEST_ARGS) # Run unit tests and determine test coverage coverage: test/assets $(MODEL) coverage erase make test PYTHON="coverage run" coverage report coverage html .PHONY: install assets-clean deps-test test coverage $(MODEL)