from xml.etree import ElementTree import re import sys import logging import argparse import pickle import time import subprocess import concurrent.futures import tempfile from progress_bar import progress from word import Word from syntactic_structure import build_structures from match_store import MatchStore from word_stats import WordStats from writer import Writer from loader import load_files from database import Database def match_file(words, structures): matches = {s: [] for s in structures} for s in progress(structures, "matching", infile=True): for w in words: mhere = s.match(w) for match in mhere: colocation_id = [(idx, w.lemma) for idx, w in match.items()] colocation_id = [s.id] + list(sorted(colocation_id, key=lambda x: x[0])) colocation_id = tuple(colocation_id) matches[s].append((match, colocation_id)) return matches def main(args): structures, lemma_msds, max_num_components = build_structures(args) database = Database(args) match_store = MatchStore(args) word_stats = WordStats(lemma_msds, database) if args.parallel: num_parallel = int(args.parallel) # make temporary directory to hold temporary files with tempfile.TemporaryDirectory() as tmpdirname: cmd = sys.argv for inpt in args.input: if inpt in cmd: cmd.remove(inpt) # remove "--parallel X" pidx = cmd.index('--parallel') del cmd[pidx] del cmd[pidx] def func(n): cmdn = [sys.executable] + cmd + [args.input[n], "--match-to-file", "{}/{}.p".format(tmpdirname, n)] subprocess.check_call(cmdn) return n # use ThreadPoolExecuter to run subprocesses in parallel using py threads with concurrent.futures.ThreadPoolExecutor(max_workers=num_parallel) as executor: # fancy interface to wait for threads to finish for id_input in executor.map(func, [i for i, _ in enumerate(args.input)]): with open("{}/{}.p".format(tmpdirname, id_input), "rb") as fp: words, matches = pickle.load(fp) match_store.add_matches(matches) word_stats.add_words(words) else: for words in load_files(args): matches = match_file(words, structures) # just save to temporary file, used for children of a parallel process # MUST NOT have more than one file if args.match_to_file is not None: with open(args.match_to_file, "wb") as fp: pickle.dump((words, matches), fp) return else: match_store.add_matches(matches) word_stats.add_words(words) # get word renders for lemma/msd word_stats.generate_renders() match_store.determine_colocation_dispersions() # figure out representations! if args.out or args.out_no_stat: match_store.set_representations(word_stats) Writer.make_output_writer(args, max_num_components, match_store, word_stats).write_out( structures, match_store) Writer.make_output_no_stat_writer(args, max_num_components, match_store, word_stats).write_out( structures, match_store) Writer.make_all_writer(args, max_num_components, match_store, word_stats).write_out( structures, match_store) Writer.make_stats_writer(args, max_num_components, match_store, word_stats).write_out( structures, match_store) if __name__ == '__main__': parser = argparse.ArgumentParser( description='Extract structures from a parsed corpus.') parser.add_argument('structures', help='Structures definitions in xml file') parser.add_argument('input', help='input xml file in `ssj500k form`, can list more than one', nargs='+') parser.add_argument('--out', help='Classic output file') parser.add_argument('--out-no-stat', help='Output file, but without statistical columns') parser.add_argument('--all', help='Additional output file, writes more data') parser.add_argument('--stats', help='Output file for statistics') parser.add_argument('--no-msd-translate', help='MSDs are translated from slovene to english by default', action='store_true') parser.add_argument('--skip-id-check', help='Skips checks for ids of and , if they are in correct format', action='store_true') parser.add_argument('--min_freq', help='Minimal frequency in output', type=int, default=0, const=1, nargs='?') parser.add_argument('--verbose', help='Enable verbose output to stderr', choices=["warning", "info", "debug"], default="info", const="info", nargs='?') parser.add_argument('--count-files', help="Count files: more verbose output", action='store_true') parser.add_argument('--multiple-output', help='Generate one output for each syntactic structure', action='store_true') parser.add_argument('--sort-by', help="Sort by a this column (index)", type=int, default=-1) parser.add_argument('--sort-reversed', help="Sort in reversed ored", action='store_true') parser.add_argument('--db', help="Database file to use (instead of memory)", default=None) parser.add_argument('--keep-db', help="Does not recreate new database file", action='store_true') parser.add_argument('--pc-tag', help='Tag for separators, usually pc or c', default="pc") parser.add_argument('--parallel', help='Run in multiple processes, should speed things up') parser.add_argument('--match-to-file', help='Do not use!') parser.add_argument('--pickled-structures', help='Do not use!', action='store_true') parser.add_argument('--hide-inner-progress', help='Do not use!', action='store_true') args = parser.parse_args() logging.basicConfig(stream=sys.stderr, level=args.verbose.upper()) progress.init(args) start = time.time() main(args) logging.info("TIME: {}".format(time.time() - start))