forked from kristjan/cjvt-valency
285 lines
8.9 KiB
Python
285 lines
8.9 KiB
Python
|
from bs4 import BeautifulSoup as BS
|
||
|
|
import re
|
||
|
|
from collections import defaultdict
|
||
|
|
from time import time
|
||
|
|
import pickle
|
||
|
|
import json
|
||
|
|
from copy import deepcopy as DC
|
||
|
|
|
||
|
|
# Match sese ordinals (1., 2., ...)
|
||
|
|
rord = re.compile(r"^ *[0-9]+\. *$")
|
||
|
|
|
||
|
|
# Get rid of accented characters.
|
||
|
|
intab = "ÁÉÍÓÚàáäçèéêìíîñòóôöùúüčŔŕ"
|
||
|
|
outtb = "AEIOUaaaceeeiiinoooouuučRr"
|
||
|
|
transtab = str.maketrans(intab, outtb)
|
||
|
|
|
||
|
|
|
||
|
|
class Seqparser:
|
||
|
|
def __init__(self):
|
||
|
|
pass
|
||
|
|
|
||
|
|
# main functions
|
||
|
|
def html_to_raw_pickle(self, sskj_html_filepath, raw_pickle_filepath):
|
||
|
|
entries = dict(self.parse_file(sskj_html_filepath, self.parse_line))
|
||
|
|
print("entries len: " + str(len(entries)))
|
||
|
|
with open(raw_pickle_filepath, "wb") as f:
|
||
|
|
tmpstr = json.dumps(dict(entries))
|
||
|
|
pickle.dump(tmpstr, f)
|
||
|
|
# debugging
|
||
|
|
|
||
|
|
def raw_pickle_to_parsed_pickle(
|
||
|
|
self, raw_pickle_filepath, parsed_pickle_filepath,
|
||
|
|
se_list_filepath
|
||
|
|
):
|
||
|
|
data = self.load_raw_pickle(raw_pickle_filepath)
|
||
|
|
print("raw_pickle data len: " + str(len(data)))
|
||
|
|
se_list = self.gen_se_list(data)
|
||
|
|
print("se_list len: " + str(len(se_list)))
|
||
|
|
with open(se_list_filepath, "wb") as f:
|
||
|
|
pickle.dump(se_list, f)
|
||
|
|
data1 = self.remove_se(data)
|
||
|
|
data2 = self.reorganize(data1, se_list)
|
||
|
|
print("data2 len: " + str(len(data2.keys())))
|
||
|
|
with open(parsed_pickle_filepath, "wb") as f:
|
||
|
|
pickle.dump(data2, f)
|
||
|
|
|
||
|
|
# helper html reading functions
|
||
|
|
def parse_file(self, path, f_parse_line):
|
||
|
|
tstart = time()
|
||
|
|
entries = defaultdict(list)
|
||
|
|
with open(path, "r") as f:
|
||
|
|
for line in f:
|
||
|
|
data = f_parse_line(line)
|
||
|
|
if data is not None:
|
||
|
|
entries[data["izt_clean"]].append(data)
|
||
|
|
print("parse_file({}) in {:.2f}s".format(path, time() - tstart))
|
||
|
|
return entries
|
||
|
|
|
||
|
|
def parse_line(self, line):
|
||
|
|
def helper_bv_set(g_or_p):
|
||
|
|
if g_or_p not in ["G", "P"]:
|
||
|
|
print("Err g_or_p.")
|
||
|
|
exit(1)
|
||
|
|
if data.get("bv") is not None:
|
||
|
|
if data["bv"] != g_or_p:
|
||
|
|
print(str(line))
|
||
|
|
# exit(1)
|
||
|
|
data["bv"] = g_or_p
|
||
|
|
data = {
|
||
|
|
"izt": "",
|
||
|
|
"izt_clean": "",
|
||
|
|
"senses": defaultdict(list)
|
||
|
|
}
|
||
|
|
soup = BS(line, "html.parser")
|
||
|
|
|
||
|
|
current_sense_id = "0"
|
||
|
|
for span in soup.find_all("span"):
|
||
|
|
|
||
|
|
# sense id
|
||
|
|
if span.string is not None:
|
||
|
|
rmatch = rord.match(span.string)
|
||
|
|
if rmatch is not None:
|
||
|
|
current_sense_id = rmatch.group().strip()
|
||
|
|
|
||
|
|
title = span.attrs.get("title")
|
||
|
|
if title is not None:
|
||
|
|
title = title.lower()
|
||
|
|
|
||
|
|
# only verbs and adjectives
|
||
|
|
if "glagol" in title:
|
||
|
|
helper_bv_set("G")
|
||
|
|
data["bv_full"] = title
|
||
|
|
elif "pridevn" in title:
|
||
|
|
helper_bv_set("P")
|
||
|
|
data["bv_full"] = title
|
||
|
|
|
||
|
|
# žšč
|
||
|
|
if title == "iztočnica":
|
||
|
|
data["izt"] = span.string
|
||
|
|
data["izt_clean"] = span.string.translate(transtab).lower()
|
||
|
|
|
||
|
|
# sense description
|
||
|
|
if title == "razlaga" and span.string is not None:
|
||
|
|
data["senses"][current_sense_id].append(
|
||
|
|
("razl", span.string))
|
||
|
|
if "pridevnik od" in span.string:
|
||
|
|
helper_bv_set("P")
|
||
|
|
|
||
|
|
if title == "sopomenka":
|
||
|
|
subspan = span.find_all("a")[0]
|
||
|
|
if subspan.string is not None:
|
||
|
|
data["senses"][current_sense_id].append(
|
||
|
|
("sopo", subspan.string))
|
||
|
|
|
||
|
|
# save verbs and adjectives
|
||
|
|
if (
|
||
|
|
("bv" not in data) or
|
||
|
|
(data["bv"] != "P" and data["bv"] != "G")
|
||
|
|
):
|
||
|
|
return None
|
||
|
|
|
||
|
|
# sanity check
|
||
|
|
if data["bv"] == "P" and " se" in data["izt_clean"]:
|
||
|
|
print(data)
|
||
|
|
exit(1)
|
||
|
|
|
||
|
|
# append _ to adjective keywords
|
||
|
|
if data["bv"] == "P":
|
||
|
|
data["izt_clean"] = data["izt_clean"] + "_"
|
||
|
|
|
||
|
|
# cleanup
|
||
|
|
if "bv" not in data:
|
||
|
|
print("Should not be here (no bv).")
|
||
|
|
exit(1)
|
||
|
|
del(data["bv"])
|
||
|
|
if "bv_full" in data:
|
||
|
|
del(data["bv_full"])
|
||
|
|
|
||
|
|
return data
|
||
|
|
|
||
|
|
# helper functions
|
||
|
|
def load_raw_pickle(self, raw_pickle_filepath):
|
||
|
|
with open(raw_pickle_filepath, "rb") as f:
|
||
|
|
tmpstr = pickle.load(f)
|
||
|
|
return json.loads(tmpstr)
|
||
|
|
|
||
|
|
def helper_loop(self, data, fnc):
|
||
|
|
for k, lst in data.items():
|
||
|
|
for el in lst:
|
||
|
|
fnc(el)
|
||
|
|
|
||
|
|
def gen_se_list(self, data):
|
||
|
|
|
||
|
|
def fnc1(el):
|
||
|
|
ic = el["izt_clean"]
|
||
|
|
if " se" in ic:
|
||
|
|
se_list.append(ic)
|
||
|
|
|
||
|
|
def fnc2(el):
|
||
|
|
ic = el["izt_clean"]
|
||
|
|
if ic in se_pruned:
|
||
|
|
se_pruned.remove(ic)
|
||
|
|
|
||
|
|
# hw entries that only exist with " se"
|
||
|
|
se_list = []
|
||
|
|
self.helper_loop(data, fnc1)
|
||
|
|
se_pruned = set([hw.split(" se")[0] for hw in se_list])
|
||
|
|
self.helper_loop(data, fnc2)
|
||
|
|
return sorted(list(se_pruned))
|
||
|
|
|
||
|
|
def remove_se(self, data):
|
||
|
|
|
||
|
|
def fnc1(el):
|
||
|
|
nel = DC(el)
|
||
|
|
ic = nel["izt_clean"]
|
||
|
|
if " se" in ic:
|
||
|
|
nic = ic.split(" se")[0]
|
||
|
|
nel["izt_clean"] = nic
|
||
|
|
data_new[nel["izt_clean"]].append(nel)
|
||
|
|
|
||
|
|
data_new = defaultdict(list)
|
||
|
|
self.helper_loop(data, fnc1)
|
||
|
|
return dict(data_new)
|
||
|
|
|
||
|
|
def reorganize(self, data, se_list):
|
||
|
|
# some hw entries have several headwords,
|
||
|
|
# some senses have subsenses
|
||
|
|
# index everything, make 1 object per hw
|
||
|
|
|
||
|
|
def helper_prune(sense_str):
|
||
|
|
# remove space padding
|
||
|
|
sense_str = sense_str.strip()
|
||
|
|
|
||
|
|
if len(sense_str) == 1:
|
||
|
|
return sense_str
|
||
|
|
|
||
|
|
# remove banned characters from string ending
|
||
|
|
banned = ": ; . , - ! ?".split(" ")
|
||
|
|
if sense_str[-1] in banned:
|
||
|
|
return sense_str[:-1]
|
||
|
|
|
||
|
|
return sense_str
|
||
|
|
|
||
|
|
data_new = {}
|
||
|
|
for k, lst in data.items():
|
||
|
|
new_el = {
|
||
|
|
"hw": k,
|
||
|
|
"has_se": k in se_list,
|
||
|
|
"senses": []
|
||
|
|
}
|
||
|
|
|
||
|
|
# if there is a single hw entry, hw_id is 0
|
||
|
|
if len(lst) == 1:
|
||
|
|
homonym_id = -1
|
||
|
|
else:
|
||
|
|
homonym_id = 0
|
||
|
|
|
||
|
|
# loop homonyms
|
||
|
|
for el in lst:
|
||
|
|
homonym_id += 1
|
||
|
|
# loop top lvl sense ids
|
||
|
|
for sense_id, sens_lst in el["senses"].items():
|
||
|
|
# loop subsenses
|
||
|
|
for i, sens in enumerate(sens_lst):
|
||
|
|
nsid = sense_id.split(".")[0]
|
||
|
|
if len(sens_lst) == 1:
|
||
|
|
nsid += "-0"
|
||
|
|
else:
|
||
|
|
nsid += ("-" + str(i + 1))
|
||
|
|
new_sense = {
|
||
|
|
"homonym_id": homonym_id,
|
||
|
|
# sense_id: sense_id-subsense_id
|
||
|
|
"sense_id": nsid,
|
||
|
|
"sense_type": sens[0],
|
||
|
|
"sense_desc": helper_prune(sens[1]),
|
||
|
|
}
|
||
|
|
new_el["senses"].append(new_sense)
|
||
|
|
hw = new_el["hw"]
|
||
|
|
if hw in data_new:
|
||
|
|
print("Shouldn't be here.")
|
||
|
|
print(new_el)
|
||
|
|
exit(1)
|
||
|
|
data_new[hw] = DC(new_el)
|
||
|
|
# return data_new
|
||
|
|
|
||
|
|
# check
|
||
|
|
for hw, el in data_new.items():
|
||
|
|
for sens in el["senses"]:
|
||
|
|
if sens["sense_desc"] is None:
|
||
|
|
print(sens)
|
||
|
|
|
||
|
|
return data_new
|
||
|
|
|
||
|
|
|
||
|
|
def plst(lst):
|
||
|
|
for el in lst:
|
||
|
|
print(el)
|
||
|
|
|
||
|
|
|
||
|
|
if __name__ == "__main__":
|
||
|
|
datapath = "../../../data"
|
||
|
|
html_filepath = datapath + "/sskj/sskj2_v1.html"
|
||
|
|
raw_pickle_filepath = datapath + "/tmp_pickles/raw_sskj.pickle"
|
||
|
|
parsed_pickle_filepath = datapath + "/no_del_pickles/sskj_senses.pickle"
|
||
|
|
se_list_filepath = datapath + "/no_del_pickles/se_list.pickle"
|
||
|
|
|
||
|
|
p = Seqparser()
|
||
|
|
|
||
|
|
if True:
|
||
|
|
print("html_to_raw_pickle({}, {})".format(
|
||
|
|
html_filepath, raw_pickle_filepath))
|
||
|
|
print("Big file, this might take a while (2 min).")
|
||
|
|
tstart = time()
|
||
|
|
p.html_to_raw_pickle(html_filepath, raw_pickle_filepath)
|
||
|
|
print("Finished in {:.2f}.".format(time() - tstart))
|
||
|
|
|
||
|
|
if True:
|
||
|
|
print("raw_pickle_to_parsed_pickle({}, {}, {})".format(
|
||
|
|
raw_pickle_filepath, parsed_pickle_filepath, se_list_filepath))
|
||
|
|
tstart = time()
|
||
|
|
p.raw_pickle_to_parsed_pickle(
|
||
|
|
raw_pickle_filepath, parsed_pickle_filepath, se_list_filepath)
|
||
|
|
print("Finished in {:.2f}.".format(time() - tstart))
|
||
|
|
print("Done.")
|