63 lines
1.8 KiB
Makefile
63 lines
1.8 KiB
Makefile
# All required components, to create and fill a database,
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# instantiate backend and frontend.
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MAKE_ROOT = $(shell pwd)
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### Input data
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# I received ssj500k in one .xml file,
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# kres is composed of many .xml files
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# I generated srl tags for kres in separate .json files
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# (for each kres.xml file there is a kres.json file with srl tags)
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SSJ_FILE = "$(MAKE_ROOT)/data/samples/ssj_example/ssj500k-sl.body.sample.xml"
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KRES_FOLDER = "$(MAKE_ROOT)/data/samples/kres_example"
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KRES_SRL_FOLDER = "$(MAKE_ROOT)/data/kres_srl"
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OUTPUT = "db"
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OUTDIR = "/home/voje/workdir/test_out"
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DBADDR = "0.0.0.0:27017" # don't use localhost
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DB_ADM_USER = testadmin
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DB_ADM_PASS = testadminpass
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DB_USR_USER = testuser
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DB_USR_PASS = testuserpass
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export
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.PHONY: python-env fill_database
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all:
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echo "Select an argument"
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# create database (run from host):
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# !!! might need to run several times, so the containers come online
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# Successful if you see the lines:
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# Successfully added user: { "user" : "testuser", "roles" : [ "readWrite" ] }
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# bye
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database-service:
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cd dockerfiles/database; $(MAKE) build_run
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database-users:
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cd dockerfiles/database; $(MAKE) create_users
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# also useful, if we want to restart the db
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database-clean:
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cd dockerfiles/database; $(MAKE) clean_stack
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# create python-env container
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python-env:
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cd dockerfiles/python-env; $(MAKE)
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# inside the container, install our packages
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python-env-install:
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pip3 install -e src/pkg/cjvt-corpusparser/.
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# from inside python-env container:
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data/samples:
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cd data; tar xzvf samples.tar.gz
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# from inside python-env container:
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fill_database: data/samples
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python3 src/pkg/cjvt-corpusparser/corpusparser/main.py --kres-folder $(KRES_FOLDER) \
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--ssj-file $(SSJ_FILE) --kres-srl-folder $(KRES_SRL_FOLDER) \
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--output $(OUTPUT) --outdir $(OUTDIR) --dbaddr $(DBADDR) \
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--dbuser $(DB_USR_USER) --dbpass $(DB_USR_PASS)
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