#!/usr/bin/env bash

. ./tests/lib.sh

i=0
# test cross_ner task
for hparams in \
      "--ner_domain music" \
      "--ner_domain news --do_ned --database_type json --ned_features type_id type_prob --ned_features_size 1 1 --ned_features_default_val 0 1.0 --bootleg_output_dir ${SRCDIR}/dataset/cross_ner/bootleg/ --database_dir ${SRCDIR}/database/ --add_types_to_text append --almond_domains thingpedia" ;
do

    # train
    genienlp train --train_tasks cross_ner --model TransformerForTokenClassification --pretrained_model bert-base-cased --force_fast_tokenizer --train_batch_tokens 200 --val_batch_size 200 --train_iterations 4 --preserve_case --save_every 2 --log_every 2 --val_every 2 --save $workdir/model_$i --data $SRCDIR/dataset/cross_ner/ --embeddings $EMBEDDING_DIR $hparams --exist_ok --skip_cache --no_commit

    # greedy prediction
    genienlp predict --tasks cross_ner --evaluate valid --pred_set_name dev --path $workdir/model_$i --overwrite --eval_dir $workdir/model_$i/eval_results/ --data $SRCDIR/dataset/cross_ner/ --embeddings $EMBEDDING_DIR --skip_cache --val_batch_size 2000

    # check if result file exists
    if test ! -f $workdir/model_$i/eval_results/valid/cross_ner.tsv ; then
        echo "File not found!"
        exit 1
    fi

    # check if predictions matches expected_results
    diff -u $SRCDIR/expected_results/token_classification/cross_ner_news_$i.tsv $workdir/model_$i/eval_results/valid/cross_ner.tsv

    rm -rf $workdir/model_$i

    i=$((i+1))
done

# test conll2003 task
for hparams in \
      "" ;
do

    # train
    genienlp train --train_tasks conll2003 --ner_domain music --model TransformerForTokenClassification --pretrained_model bert-base-cased --force_fast_tokenizer --subsample 5 --train_batch_tokens 100 --val_batch_size 100 --train_iterations 4 --preserve_case --save_every 2 --log_every 2 --val_every 2 --save $workdir/model_$i --data $SRCDIR/dataset/cross_ner/ --embeddings $EMBEDDING_DIR $hparams --exist_ok --skip_cache --no_commit

    # greedy prediction
    genienlp predict --tasks conll2003 --evaluate valid --pred_set_name validation --subsample 5 --path $workdir/model_$i --overwrite --eval_dir $workdir/model_$i/eval_results/ --data $SRCDIR/dataset/cross_ner/ --embeddings $EMBEDDING_DIR --skip_cache --val_batch_size 2000

    # check if result file exists
    if test ! -f $workdir/model_$i/eval_results/valid/conll2003.tsv ; then
        echo "File not found!"
        exit 1
    fi

    # check if predictions matches expected_results
    diff -u $SRCDIR/expected_results/token_classification/conll2003_$i.tsv $workdir/model_$i/eval_results/valid/conll2003.tsv

    rm -rf $workdir/model_$i

    i=$((i+1))
done