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11 Commits

Author SHA1 Message Date
01adf47b9b a 2019-04-22 09:06:02 +02:00
2582314c4d bugfix 2019-04-21 22:24:36 +02:00
792c0b03fd processing kres files in chunks to reduce number of DB connections 2019-04-21 21:50:56 +02:00
3276619e6f close dbclient after usage 2019-04-21 19:35:39 +02:00
bcc64c767c separate parsing of ssj and kres (mem management) 2019-04-21 19:18:19 +02:00
00d9192993 moved parse_ssj into a subprocess 2019-04-21 17:04:20 +02:00
14c607c106 Merge branch 'master' of gitea.cjvt.si:kristjan/cjvt-corpusparser into my-fix 2019-04-21 16:07:15 +02:00
94d5a6cd73 added exception to parsing ssj 2019-04-21 16:07:08 +02:00
5ae1a9783c fixed some logging 2019-04-21 13:11:05 +02:00
voje
c6b8426fb3 added adjective handling (appending _ to headwords) 2019-04-19 07:41:50 +02:00
af4f6045bb prevent duplicate entries in DB 2019-04-15 20:48:10 +02:00
3 changed files with 117 additions and 64 deletions

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@@ -5,7 +5,7 @@ from lxml import etree
import logging
import time
logging.basicConfig(level=logging.INFO)
# logging.basicConfig(level=logging.INFO)
# Read input file(.xml, .json; kres or ssj500k).
# Create an iterator that outputs resulting sentences (python dict format).
@@ -61,7 +61,10 @@ class Parser():
def parse_any_links_ssj(self, sent_el, links_type):
lgrps = sent_el.findall(".//linkGrp")
try:
links = [x for x in lgrps if x.get("type") == links_type][0]
except:
return []
res_links = []
for link in links:
tar = self.parse_ssj_target_arg(link.get("target"))

View File

@@ -1 +1,2 @@
from corpusparser.Parser import Parser
from corpusparser.main import enriched_lemma

View File

@@ -9,10 +9,23 @@ import sys
from multiprocessing import Pool
import time
logging.basicConfig(level=logging.INFO)
CORPORA = ["kres", "ssj"]
# logging.basicConfig(filename=Path("/var/tmp/corpusparser.log"), filemode='a', level=logging.INFO)
logger = logging.getLogger(__name__)
n_kres_files = -1 # for logging
# lfh = logging.FileHandler("/project/logs/fill-database.log")
lfh = logging.StreamHandler(sys.stdout)
formatter = logging.Formatter("%(asctime)s %(levelname)s %(message)s")
lfh.setFormatter(formatter)
logger.addHandler(lfh)
logger.setLevel(logging.INFO)
n_chunks = -1
def enriched_lemma(token):
return (token["lemma"] if token["msd"][0] == "G" else token["lemma"] + "_")
def _helper_tid_to_token(tid, tokens):
@@ -29,7 +42,7 @@ def _db_preprocess(e):
else:
hw_tids = list(set([x["from"] for x in e["srl_links"]]))
hw_tokens = [_helper_tid_to_token(tid, e["tokens"]) for tid in hw_tids]
headwords = [(t["lemma"] if t["msd"][0] == "G" else t["lemma"] + "_") for t in hw_tokens]
headwords = [enriched_lemma(t) for t in hw_tokens]
e["headwords"] = headwords
functors = list(set([x["afun"] for x in e["srl_links"]]))
@@ -38,18 +51,14 @@ def _db_preprocess(e):
# handler for concurrency
def _handle_kres_file_tpl(kres_file_tpl):
def _handle_kres_file_chunk(kres_file_chunk):
tstart = time.time()
kres_file_idx = kres_file_tpl[0]
kres_file = kres_file_tpl[1]
kres_data = kres_parser.parse_xml_file(kres_file)
if args.output == "file":
kres_outdir = outdir / "kres_json"
kres_outdir.mkdir(parents=True, exist_ok=True)
kres_outfile = kres_outdir / Path(kres_file.name.split(".")[0]).with_suffix(".json")
with kres_outfile.open("w") as fp:
json.dump(kres_data, fp)
elif args.output == "db":
kres_chunk_idx = kres_file_chunk[0]
kres_chunk = kres_file_chunk[1]
dbclient = None
db_payload = []
if args.output == "db":
# mongoclient needs to be created after forking
dbclient = MongoClient(
"mongodb://{}".format(args.dbaddr),
@@ -58,19 +67,40 @@ def _handle_kres_file_tpl(kres_file_tpl):
authSource="valdb",
authMechanism='SCRAM-SHA-1'
)
valdb = dbclient.valdb
kres_col = valdb["kres"]
# dbclient.valdb["kres"]
for kres_file in kres_chunk:
try:
kres_data = kres_parser.parse_xml_file(kres_file)
except:
logger.error("Failed to parse file: {}".format(kres_file))
continue
if args.output == "file":
kres_outdir = outdir / "kres_json"
kres_outdir.mkdir(parents=True, exist_ok=True)
kres_outfile = kres_outdir / Path(kres_file.name.split(".")[0]).with_suffix(".json")
with kres_outfile.open("w") as fp:
json.dump(kres_data, fp)
# HUUUUGE BOTTLENECK
elif args.output == "db":
"""
for sentence in kres_data:
kres_col.update({"sid": sentence["sid"]}, sentence, upsert=True)
if dbclient.valdb["kres"].find({"sid": kres_data[0]["sid"]}).count() > 0:
logger.info("File {} already in DB, closing chunk ({}/{})".format(
kres_file, kres_chunk_idx, n_chunks))
dbclient.close()
return
"""
kres_data_1 = [_db_preprocess(x) for x in kres_data]
kres_col.insert_many(kres_data_1) # much much better (just make sure sid has a unique index)
logging.info("Handled {} ({}/{}) in {:.2f} s".format(
kres_file, kres_file_idx, n_kres_files, time.time() - tstart))
db_payload += kres_data_1
try:
dbclient.valdb["kres"].insert_many(db_payload, ordered=False) # much much better (just make sure sid has a unique index)
except:
logger.error("Failed inserting kres files chunk ({}/{}) in {:.2f} s".format(
kres_chunk_idx, n_chunks, time.time() - tstart))
logger.info("Db insert: chunks ({}/{}) in {:.2f} s".format(
kres_chunk_idx, n_chunks, time.time() - tstart))
dbclient.close()
def _get_dbclient(args):
dbclient = MongoClient(
@@ -82,34 +112,42 @@ def _get_dbclient(args):
)
return dbclient
if __name__ == "__main__":
parser = argparse.ArgumentParser(description="Parsing corpora kres and ssj500k.")
parser.add_argument('--kres-folder', required=True)
parser.add_argument('--kres-srl-folder', required=True)
parser.add_argument('--ssj-file', required=True)
parser.add_argument('--corpus', required=True)
parser.add_argument('--kres-folder', required=False)
parser.add_argument('--kres-srl-folder', required=False)
parser.add_argument('--ssj-file', required=False)
parser.add_argument('--output', required=False, default=None)
parser.add_argument('--outdir', required=False, default=None)
parser.add_argument('--dbaddr', required=False, default=None)
parser.add_argument('--dbuser', required=False, default=None)
parser.add_argument('--dbpass', required=False, default=None)
parser.add_argument('--cores', required=False, default=1)
parser.add_argument('--chunk-size', required=False, default=3)
args = parser.parse_args()
corpus = args.corpus
assert (corpus in CORPORA), "Wrong corpus name."
outdir = None
if args.output == "file":
outdir = Path(args.outdir)
outdir.mkdir(parents=True, exist_ok=True)
elif args.output == "db":
# Force unique sid
dbclient = _get_dbclient(args)
for corpus in ["kres", "ssj"]:
dbclient.valdb[corpus].ensure_index([("sid", pymongo.ASCENDING)])
dbclient.valdb[corpus].ensure_index([("headwords", pymongo.ASCENDING)])
dbclient.valdb[corpus].ensure_index([("functors", pymongo.ASCENDING)])
dbclient.close()
# SSJ
if corpus == "ssj":
logger.info("Parsing Ssj: {}".format(args.ssj_file))
ssj_parser = Parser(corpus="ssj")
ssj_parser = Parser(logger=logger, corpus="ssj")
ssj_data = ssj_parser.parse_xml_file(Path(args.ssj_file))
if args.output == "file":
ssj_outfile = outdir / "ssj500k.json"
@@ -122,21 +160,32 @@ if __name__ == "__main__":
for sentence in ssj_data:
sentence = _db_preprocess(sentence)
ssj_col.update({"sid": sentence["sid"]}, sentence, upsert=True)
dbclient.close()
if corpus == "kres":
# Kres
logger.info("Parsing Kres: {}".format(args.kres_folder))
kres_parser = Parser(
logger=logger,
corpus="kres",
kres_srl_folder=args.kres_srl_folder
)
# [(idx, filepath)]
kres_files = [x for x in Path(args.kres_folder).iterdir()]
kres_files = [x for x in enumerate(kres_files)]
n_kres_files = len(kres_files)
kres_files = sorted(kres_files, key=lambda x: x.name)
kres_files_chunks = []
i = 0
while i < len(kres_files):
# kres_files_chunks += kres_files[i:(i+args.chunk_size)]
new_i = i + int(args.chunk_size)
kres_files_chunks += [kres_files[i:new_i]]
i = new_i
kres_files_chunks = [x for x in enumerate(kres_files_chunks)]
n_chunks = len(kres_files_chunks)
p = Pool(int(args.cores))
p.map(_handle_kres_file_tpl, kres_files)
p.map(_handle_kres_file_chunk, kres_files_chunks)
logger.info("Finished parsing.")