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.PHONY: FORCE


## Check hub identity
hub/whoami : .make/requirements
	poetry run huggingface-cli whoami

## Login to hub
hub/login : .make/requirements
	poetry run huggingface-cli login

## Create the hub dataset repository
# had to create this through the web interface
hub/create : .make/requirements
	poetry run huggingface-cli repo create aste-v2 --type dataset

data : \
	data/2014/laptop/aste/test.gz.parquet \
	data/2014/laptop/aste/valid.gz.parquet \
	data/2014/laptop/sem-eval/train.gz.parquet \
	data/2014/laptop/aste/train.gz.parquet \
	data/2014/laptop/sem-eval/test.gz.parquet \
	data/2014/laptop/sem-eval/valid.gz.parquet \
	data/2014/restaurant/aste/train.gz.parquet \
	data/2014/restaurant/aste/valid.gz.parquet \
	data/2014/restaurant/aste/test.gz.parquet \
	data/2014/restaurant/sem-eval/train.gz.parquet \
	data/2014/restaurant/sem-eval/valid.gz.parquet \
	data/2014/restaurant/sem-eval/test.gz.parquet \
	data/2015/restaurant/aste/test.gz.parquet \
	data/2015/restaurant/aste/train.gz.parquet \
	data/2015/restaurant/aste/valid.gz.parquet \
	data/2015/restaurant/sem-eval/test.gz.parquet \
	data/2015/restaurant/sem-eval/train.gz.parquet \
	data/2015/restaurant/sem-eval/valid.gz.parquet


data/2014/laptop/aste/train.gz.parquet : .make/requirements
	poetry run python -m src.main aste \
		--aste-file data/raw/aspect-sentiment-triplet-extraction/laptop-2014/train_triplets.txt \
		--output-file $@

data/2014/laptop/aste/valid.gz.parquet : .make/requirements
	poetry run python -m src.main aste \
		--aste-file data/raw/aspect-sentiment-triplet-extraction/laptop-2014/dev_triplets.txt \
		--output-file $@

data/2014/laptop/aste/test.gz.parquet : .make/requirements
	poetry run python -m src.main aste \
		--aste-file data/raw/aspect-sentiment-triplet-extraction/laptop-2014/test_triplets.txt \
		--output-file $@

data/2014/laptop/sem-eval/train.gz.parquet : .make/requirements
	poetry run python -m src.main sem-eval \
		--aste-file data/raw/aspect-sentiment-triplet-extraction/laptop-2014/train_triplets.txt \
		--sem-eval-file data/raw/sem-eval/2014/Laptop_Train_v2.xml \
		--output-file $@

data/2014/laptop/sem-eval/valid.gz.parquet : .make/requirements
	poetry run python -m src.main sem-eval \
		--aste-file data/raw/aspect-sentiment-triplet-extraction/laptop-2014/dev_triplets.txt \
		--sem-eval-file data/raw/sem-eval/2014/Laptop_Train_v2.xml \
		--output-file $@

data/2014/laptop/sem-eval/test.gz.parquet : .make/requirements
	poetry run python -m src.main sem-eval \
		--aste-file data/raw/aspect-sentiment-triplet-extraction/laptop-2014/test_triplets.txt \
		--sem-eval-file data/raw/sem-eval/2014/Laptops_Test_Data_PhaseA.xml \
		--output-file $@


data/2014/restaurant/aste/train.gz.parquet : .make/requirements
	poetry run python -m src.main aste \
		--aste-file data/raw/aspect-sentiment-triplet-extraction/restaurant-2014/train_triplets.txt \
		--output-file $@

data/2014/restaurant/aste/valid.gz.parquet : .make/requirements
	poetry run python -m src.main aste \
		--aste-file data/raw/aspect-sentiment-triplet-extraction/restaurant-2014/dev_triplets.txt \
		--output-file $@

data/2014/restaurant/aste/test.gz.parquet : .make/requirements
	poetry run python -m src.main aste \
		--aste-file data/raw/aspect-sentiment-triplet-extraction/restaurant-2014/test_triplets.txt \
		--output-file $@

data/2014/restaurant/sem-eval/train.gz.parquet : .make/requirements
	poetry run python -m src.main sem-eval \
		--aste-file data/raw/aspect-sentiment-triplet-extraction/restaurant-2014/train_triplets.txt \
		--sem-eval-file data/raw/sem-eval/2014/Restaurants_Train_v2.xml \
		--output-file $@

data/2014/restaurant/sem-eval/valid.gz.parquet : .make/requirements
	poetry run python -m src.main sem-eval \
		--aste-file data/raw/aspect-sentiment-triplet-extraction/restaurant-2014/dev_triplets.txt \
		--sem-eval-file data/raw/sem-eval/2014/Restaurants_Train_v2.xml \
		--output-file $@

data/2014/restaurant/sem-eval/test.gz.parquet : .make/requirements
	poetry run python -m src.main sem-eval \
		--aste-file data/raw/aspect-sentiment-triplet-extraction/restaurant-2014/test_triplets.txt \
		--sem-eval-file data/raw/sem-eval/2014/Restaurants_Test_Data_PhaseA.xml \
		--output-file $@


data/2015/restaurant/aste/train.gz.parquet : .make/requirements
	poetry run python -m src.main aste \
		--aste-file data/raw/aspect-sentiment-triplet-extraction/restaurant-2015/train_triplets.txt \
		--output-file $@

data/2015/restaurant/aste/valid.gz.parquet : .make/requirements
	poetry run python -m src.main aste \
		--aste-file data/raw/aspect-sentiment-triplet-extraction/restaurant-2015/dev_triplets.txt \
		--output-file $@

data/2015/restaurant/aste/test.gz.parquet : .make/requirements
	poetry run python -m src.main aste \
		--aste-file data/raw/aspect-sentiment-triplet-extraction/restaurant-2015/test_triplets.txt \
		--output-file $@

data/2015/restaurant/sem-eval/train.gz.parquet : .make/requirements
	poetry run python -m src.main sem-eval \
		--aste-file data/raw/aspect-sentiment-triplet-extraction/restaurant-2015/train_triplets.txt \
		--sem-eval-file data/raw/sem-eval/2015/ABSA-15_Restaurants_Train_Final.xml \
		--output-file $@

data/2015/restaurant/sem-eval/valid.gz.parquet : .make/requirements
	poetry run python -m src.main sem-eval \
		--aste-file data/raw/aspect-sentiment-triplet-extraction/restaurant-2015/dev_triplets.txt \
		--sem-eval-file data/raw/sem-eval/2015/ABSA-15_Restaurants_Train_Final.xml \
		--output-file $@

data/2015/restaurant/sem-eval/test.gz.parquet : .make/requirements
	poetry run python -m src.main sem-eval \
		--aste-file data/raw/aspect-sentiment-triplet-extraction/restaurant-2015/test_triplets.txt \
		--sem-eval-file data/raw/sem-eval/2015/ABSA15_Restaurants_Test.xml \
		--output-file $@



## Install Python Dependencies
requirements : .make/requirements

.make/requirements : PYTHON_VERSION = $(shell cat .python-version)
.make/requirements : pyproject.toml poetry.lock
	poetry env use $(PYTHON_VERSION)
	PYTHON_KEYRING_BACKEND=keyring.backends.null.Keyring poetry install
	touch $@

poetry.lock : PYTHON_VERSION = $(shell cat .python-version)
poetry.lock : pyproject.toml
	poetry env use $(PYTHON_VERSION)
	PYTHON_KEYRING_BACKEND=keyring.backends.null.Keyring poetry install
	touch $@

#################################################################################
# Self Documenting Commands                                                     #
#################################################################################

.DEFAULT_GOAL := show-help
# See <https://gist.github.com/klmr/575726c7e05d8780505a> for explanation.
.PHONY: show-help
show-help:
	@echo "$$(tput setaf 2)Available rules:$$(tput sgr0)";sed -ne"/^## /{h;s/.*//;:d" -e"H;n;s/^## /---/;td" -e"s/:.*//;G;s/\\n## /===/; s/\\n//g;p;}" ${MAKEFILE_LIST}|awk -F === -v n=$$(tput cols) -v i=4 -v a="$$(tput setaf 6)" -v z="$$(tput sgr0)" '{printf"- %s%s%s\n",a, $$1,z;m=split($$2,w,"---");l=n-i;for(j=1;j<=m;j++){l-=length(w[j])+1;if(l<= 0){l=n-i-length(w[j])-1;}printf"%*s%s\n",-i," ",w[j];}}'