# All required components, to create and fill a database,
# instantiate backend and frontend. 

MAKE_ROOT = $(shell pwd)

### Input data
# I received ssj500k in one .xml file,
# kres is composed of many .xml files
# I generated srl tags for kres in separate .json files
# (for each kres.xml file there is a kres.json file with srl tags)
# SSJ_FILE = "$(MAKE_ROOT)/data/samples/ssj_xml/ssj500k-sl.body.sample.xml"
SSJ_FILE = "$(MAKE_ROOT)/data/ssj_file_link"
# KRES_FOLDER = "$(MAKE_ROOT)/data/samples/kres_xml"
KRES_FOLDER = "$(MAKE_ROOT)/data/kres_xml_folder_link"
# KRES_SRL_FOLDER = "$(MAKE_ROOT)/data/samples/kres_srl_json"
KRES_SRL_FOLDER = "$(MAKE_ROOT)/data/kres_json_folder_link"

OUTPUT = "db"
# OUTPUT = "file"
OUTDIR = "/tmp/three"  # if you're running this in docker, make sure to mount the volume
DBADDR = "0.0.0.0:27017"  # don't use localhost

# credentials from .gitignored file
# create it from env.default
include env.local

N_CORES = 5
# insert kres files into database in chunks, for fewer connections
KRES_CHUNK_SIZE = 30

# Backend parameters found in conf file (see make backend)
export

.PHONY: python-env fill-database

all:
	echo "Select an argument"

# create database (run from host):
# !!! might need to run several times, so the containers come online
# Successful if you see the lines:
# Successfully added user: { "user" : "testuser", "roles" : [ "readWrite" ] }
# bye
database-service:
	cd dockerfiles/database; $(MAKE) build_run

database-users:
	cd dockerfiles/database; $(MAKE) create_users

# also useful, if we want to restart the db
database-clean:
	cd dockerfiles/database; $(MAKE) clean_stack

# create python-env container
python-env:
	cd dockerfiles/python-env; $(MAKE)

# inside the container, install our packages
python-env-install:
	pip3 install -e src/pkg/cjvt-corpusparser/.
	pip3 install -e src/pkg/valency/.

# from inside python-env container:
data/samples:
	cd data; tar xzvf samples.tar.gz

# from inside python-env container:
# you can set OUTPUT = "file" and a valid OUTDIR to test writing to json files instead of DB
fill-database-ssj: data/samples
	python3 src/pkg/cjvt-corpusparser/corpusparser/main.py --kres-folder $(KRES_FOLDER) \
		--corpus="ssj" \
		--ssj-file $(SSJ_FILE) --kres-srl-folder $(KRES_SRL_FOLDER) \
		--output $(OUTPUT) --outdir $(OUTDIR) --dbaddr $(DBADDR) \
		--dbuser $(DB_USR_USER) --dbpass $(DB_USR_PASS) \
		--cores $(N_CORES)

fill-database-kres: data/samples
	python3 src/pkg/cjvt-corpusparser/corpusparser/main.py --kres-folder $(KRES_FOLDER) \
		--corpus="kres" \
		--ssj-file $(SSJ_FILE) --kres-srl-folder $(KRES_SRL_FOLDER) \
		--output $(OUTPUT) --outdir $(OUTDIR) --dbaddr $(DBADDR) \
		--dbuser $(DB_USR_USER) --dbpass $(DB_USR_PASS) \
		--chunk-size $(KRES_CHUNK_SIZE) \
		--cores $(N_CORES)



## Frontend

## Run from host
## See src/frontend_vue/README.md for port settings etc.
frontend-dev:
	cd src/frontend_vue/; $(MAKE) dev

frontend-prod:
	cd src/frontend_vue/; $(MAKE) prod


## Backend

# runs once and exits before the app starts
backend-prepare-db:
	cd ./src/backend_flask; python3 app.py \
		--config-file ./conf_files/dev_conf.yaml \
		--dbuser $(DB_USR_USER) --dbpass $(DB_USR_PASS) --dbaddr $(DBADDR) \
		--prepare-db

backend-dev:
	cd ./src/backend_flask; python3 app.py \
		--config-file ./conf_files/dev_conf.yaml \
		--dbuser $(DB_USR_USER) --dbpass $(DB_USR_PASS) --dbaddr $(DBADDR)

backend-prod:
	cd ./src/backend_flask; python3 app.py \
		--config-file ./conf_files/prod_conf.yaml \
		--dbuser $(DB_USR_USER) --dbpass $(DB_USR_PASS) --dbaddr $(DBADDR)
