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57 lines
1.5 KiB
57 lines
1.5 KiB
from pathlib import Path
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from parser.parser import Parser
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import configparser
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# defaults
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ORIGPATH = Path("../data/kres_example") # we need the IDs
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INPATH = Path("../data/kres_example_srl")
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OUTPATH = Path("../data/kres_example_json")
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# parse config
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config = configparser.ConfigParser()
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config.read("tools.cfg")
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ORIGPATH = Path(config["tools"]["kres_orig"])
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INPATH = Path(config["tools"]["kres_srl"])
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OUTPATH = Path(config["tools"]["kres_json"])
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def get_origfile(filename):
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for origfile in ORIGPATH.iterdir():
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if filename.name.split('.')[0] == origfile.name.split('.')[0]:
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return origfile
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raise FileNotFoundError
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def extract_sentences(line_reader):
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acc = []
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for line in [x.decode("utf-8").split('\t') for x in line_reader]:
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if line[0] == '\n':
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tmp = acc
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acc = []
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yield tmp
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else:
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acc.append(line)
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def match_sentence_id(string, rd):
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str1 = " ".join([token[1] for token in sentence_arr])
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for k, e in rd.items():
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str2 = " ".join(token[2] for token in dict_entry["tokens"])
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if str1 == str2:
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return k
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raise KeyError
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if __name__ == "__main__":
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par = Parser()
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for infile in [x for x in INPATH.iterdir() if x.is_file()]:
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origfile = get_origfile(infile)
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rd = par.parse_tei(origfile)
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fp = infile.open("rb")
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for sentence_arr in extract_sentences(fp.readlines()):
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sid = match_sentence_id(sentence_arr, rd)
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print(sid)
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# OK, we got the sentence id, now generate the predicate map!
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outfile = (OUTPATH / infile.name).with_suffix(".json") |