blob: 7694504dcf6749ee2a9e7987de0f210cc2121287 [file] [log] [blame]
dazae3bc92e2020-11-04 11:06:26 +01001# TODO: write a client to make multiple requests to the server!
2import subprocess, json, time
3import requests, glob, logging
4import os.path, sys
5from lib.CoNLL_Annotation import get_token_type
6import my_utils.file_utils as fu
7import argparse
8
9
10TIGER_CORPUS = "/home/daza/datasets/TIGER_conll/tiger_release_aug07.corrected.16012013.conll09"
11DE_GSD_CORPUS = "/home/daza/datasets/ud-treebanks-v2.2/UD_German-GSD/de_gsd-ud-test.conllu"
12
13
14if __name__ == "__main__":
15
16 """
17 EXECUTE:
18
19 python systems/parse_turku.py --corpus_name DE_GSD --gld_token_type CoNLLUP_Token \
20 -i /home/daza/datasets/ud-treebanks-v2.2/UD_German-GSD/de_gsd-ud-test.conllu
21
22 """
23
24 parser = argparse.ArgumentParser()
25 parser.add_argument("-i", "--input_file", help="Input Corpus", required=True)
26 parser.add_argument("-n", "--corpus_name", help="Corpus Name", default="Corpus")
27 parser.add_argument("-gtt", "--gld_token_type", help="CoNLL Format of the Gold Data", default="CoNLL09_Token")
28 parser.add_argument("-c", "--comment_str", help="CoNLL Format of comentaries inside the file", default="#")
29 args = parser.parse_args()
30
31 file_has_next, chunk_ix = True, 0
32 CHUNK_SIZE = 10000
33
34 # =====================================================================================
35 # LOGGING INFO ...
36 # =====================================================================================
37 logger = logging.getLogger(__name__)
38 console_hdlr = logging.StreamHandler(sys.stdout)
39 file_hdlr = logging.FileHandler(filename=f"logs/Parse_{args.corpus_name}_Turku.log")
40 logging.basicConfig(level=logging.INFO, handlers=[console_hdlr, file_hdlr])
41 logger.info(f"Chunking TIGER Corpus in chunks of {CHUNK_SIZE} Sentences")
42
43 # =====================================================================================
44 # PROCESS (PARSE) TIGER Corpus ...
45 # =====================================================================================
46 start = time.time()
47 total_processed_sents = 0
48 line_generator = fu.file_generator(args.input_file)
49 while file_has_next:
50 raw_text, file_has_next, n_sents = fu.get_file_chunk(line_generator, chunk_size=CHUNK_SIZE, token_class=get_token_type(args.gld_token_type), comment_str=args.comment_str)
51 total_processed_sents += n_sents
52 if len(raw_text) > 0:
53 fu.turku_parse_file(raw_text, args.input_file, chunk_ix)
54 now = time.time()
55 elapsed = (now - start)
56 logger.info(f"Time Elapsed: {elapsed}. Processed {total_processed_sents}. [{total_processed_sents/elapsed} Sents/sec]\n") # Toks/Sec???
57 chunk_ix += 1
58 if chunk_ix == 10: break
59 end = time.time()
60 logger.info(f"Processing File {args.corpus_name} took {(end - start)} seconds!")
61
62