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predict_coarse_allentune.py
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predict_coarse_allentune.py
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import argparse
import json
import os
import shutil
import subprocess
from typing import Any, Dict
import sys
from dygie_visualize_util import Dataset
import pathlib
from pathlib import Path
"""
Usage
python predict_coarse_allentune.py --data_dir data/mechanic/coarse --device 0,1,2,3 --serial_dir models/coarse/
python predict_coarse_allentune.py --data_dir data/mechanic/coarse --device 0,1,2,3 --serial_dir models/coarse/ --pred_dir predictions/coarse
"""
def get_doc_key_info(ds):
doc_info_conf_iter = {}
for doc in ds:
doc_key = doc._doc_key
for sent in doc:
sent_text = " ".join(sent.text)
for rel in sent.relations:
arg0 = " ".join(rel.pair[0].text).replace("\"", "")
arg1 = " ".join(rel.pair[1].text).replace("\"", "")
data_key = (doc_key, sent_text, arg0, arg1, rel.label)
# print((doc_key, sent_text, arg0, arg1, rel.label))
# import pdb;pdb.set_trace()
doc_info_conf_iter[data_key] = rel.score
return doc_info_conf_iter
def prediction_to_tsv(ds, output_file_name):
doc_info = get_doc_key_info(ds)
print(len(doc_info))
output_file = open(output_file_name, "w")
for key in doc_info:
conf0 = str(doc_info[key])
output_file.write(key[0] + '\t' + key[1] + '\t' + key[2] + '\t' + key[3] + '\t' + str(key[4]) + '\t' + conf0 + '\n')
if __name__ == '__main__':
parser = argparse.ArgumentParser()
parser.add_argument('--data_dir',
type=str,
help="path to the directory containing the data file to make prediction on.",
required=True)
parser.add_argument('--test_file',
type=str,
help="Please mention test filename in the data_dir if test filename is not test.json",
required=False,
default="test.json")
parser.add_argument('--device',
type=str,
default='0',
required=False,
help="cuda devices comma seperated")
parser.add_argument('--serial_dir',
type=str,
help="Path to the directory to save the model. default is ./models/",
required=True,
default="./models/")
parser.add_argument('--pred_dir',
type=str,
help="Path to the directory to save the prediction. default is ./predictions/",
required=False,
default="./predictions/")
parser.add_argument('--pred_file',
type=str,
help="Please mention prediction filename(including json extention) in the pred_dir if prediction filename should not be pred.json / pred.tsv",
required=False,
default="pred.json")
parser.add_argument('--test_data',
action='store_true')
parser.add_argument('--test_index',
type=int,
default=0)
args = parser.parse_args()
data_root = pathlib.Path(args.data_dir)
serial_dir = pathlib.Path(args.serial_dir)
pred_dir = pathlib.Path(args.pred_dir)
pred_dir.mkdir(parents=True, exist_ok=True)
test_dir = data_root / args.test_file
pred_path = pred_dir / args.pred_file
if args.device:
os.environ['CUDA_DEVICE'] = args.device
os.environ['cuda_device'] = args.device
for file in os.listdir(str(serial_dir)):
print(file)
trail_strat_str = "run_"
if args.test_data:
trail_strat_str = trail_strat_str + str(args.test_index)
if file.startswith(trail_strat_str):
run_serial_dir = serial_dir / file / "trial"
run_pred_dir = pred_dir / file
run_pred_dir.mkdir(parents=True, exist_ok=True)
pred_path = pathlib.Path(run_pred_dir) / "pred.json"
allennlp_command = [
"allennlp",
"predict",
str(run_serial_dir),
str(test_dir),
"--predictor dygie",
"--include-package dygie",
"--use-dataset-reader",
"--output-file",
str(pred_path),
"--cuda-device",
args.device
]
try:
subprocess.run(" ".join(allennlp_command), shell=True, check=True)
ds = Dataset(pred_path)
prediction_to_tsv(ds, pathlib.Path(run_pred_dir) / "pred.tsv")
except:
pass