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221 lines
8.2 KiB
221 lines
8.2 KiB
from pathlib import Path
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import re
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import json
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from lxml import etree
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import logging
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import time
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# logging.basicConfig(level=logging.INFO)
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# Read input file(.xml, .json; kres or ssj500k).
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# Create an iterator that outputs resulting sentences (python dict format).
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class Parser():
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def __init__(self, corpus, kres_srl_folder=None, logger=None):
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self.corpus = corpus
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if self.corpus == "kres":
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self.kres_srl_folder = kres_srl_folder
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self.W_TAGS = ['w']
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self.C_TAGS = ['c']
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self.S_TAGS = ['S', 'pc']
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self.logger = logger or logging.getLogger(__name__)
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self.stats = {
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"parsed_count": 0,
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"missing_srl": []
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}
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# for logging output
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self.n_kres_files = -1
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self.nth_kres_file = -1
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def parse_jos_links(self, sent_el):
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if self.corpus == "kres":
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return self.parse_jos_links_kres(sent_el)
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else:
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# 'syntax' is the linkgroup we're looking for
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return self.parse_any_links_ssj(sent_el, "syntax")
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def parse_jos_links_kres(self, sent_el):
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lgrps = sent_el.findall(".//links")
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if len(lgrps) < 1:
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raise IOError("Can't find links.")
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res_links = []
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for link in lgrps[0]:
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res_links += [{
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"from": int(link.get("from").split(".")[-1]),
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"afun": link.get("afun"),
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"to": int(link.get("dep").split(".")[-1]),
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}]
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return res_links
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def parse_ssj_target_arg(self, text):
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# from: 0, to: 6
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# <link ana="syn:modra" target="#ssj1.1.3 #ssj1.1.3.t6"/>
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# from: 6, to: 7
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# <link ana="syn:dol" target="#ssj1.1.3.t6 #ssj1.1.3.t7"/>
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lst = [x.split(".")[-1] for x in text.split(" ")]
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return [int(x[1:] if x[0] == "t" else 0) for x in lst]
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def parse_any_links_ssj(self, sent_el, links_type):
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lgrps = sent_el.findall(".//linkGrp")
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try:
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links = [x for x in lgrps if x.get("type") == links_type][0]
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except:
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return []
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res_links = []
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for link in links:
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tar = self.parse_ssj_target_arg(link.get("target"))
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res_links += [{
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"from": tar[0],
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"afun": link.get("ana").split(":")[1],
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"to": tar[1],
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}]
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return res_links
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def parse_srl_links(self, sent_el, sent_srl_links=None):
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if self.corpus == "kres":
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return self.parse_srl_links_kres(sent_el, sent_srl_links)
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else:
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return self.parse_any_links_ssj(sent_el, "SRL")
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def parse_srl_links_kres(self, sent_el, sent_srl_links):
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res_links = []
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for link in sent_srl_links:
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res_links += [{
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"from": int(link["from"]),
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"afun": link["arg"],
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"to": int(link["dep"]),
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}]
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# find the correspointing json file with srl links
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return res_links
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def sentence_generator(self):
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# Using generators so we don't copy a whole corpu around in memory.
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# Use parse_xml_file() instead for pre-file processing (parallelism?)
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if self.corpus == "kres":
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# some logging output
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if self.n_kres_files == -1:
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self.n_kres_files = len(list(Path(self.kres_folder).glob('*')))
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for xml_file in self.kres_folder.iterdir():
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self.nth_kres_file += 1
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self.logger.info("{} ({}/{})".format(
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xml_file, self.nth_kres_file, self.n_kres_files))
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yield from self.xml_file_to_generator(xml_file)
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else:
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yield from self.xml_file_to_generator(self.ssj_file)
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def parse_xml_file(self, xml_file):
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# tstart = time.time()
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file_data = []
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for tpl in self.xml_file_to_generator(xml_file):
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file_data += [tpl[1]]
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tend = time.time()
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# self.logger.info("Parsed {} in {:.4f} s".format(xml_file, tend - tstart))
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return file_data
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def xml_file_to_generator(self, xml_file):
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# for separate srl links, it will guess the srl file based on
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# self.kres_srl_folder
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srl_from_json = {}
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if self.corpus == "kres":
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# in case of kres, read the SRL links form a separate json file
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file_id = xml_file.name.split(".")[0]
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json_file = self.kres_srl_folder / Path(file_id).with_suffix(".srl.json")
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with json_file.open("r") as fp:
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srl_from_json = json.loads(fp.read())
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with xml_file.open("rb") as fp:
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# remove namespaces
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bstr = fp.read()
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utf8str = bstr.decode("utf-8")
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utf8str = re.sub('\\sxmlns="[^"]+"', '', utf8str, count=1)
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utf8str = re.sub(' xml:', ' ', utf8str)
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root = etree.XML(utf8str.encode("utf-8"))
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divs = [] # in ssj, there are divs, in Kres, there are separate files
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if self.corpus == "kres":
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divs = [root]
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else:
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divs = root.findall(".//div")
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res_dict = {}
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# parse divs
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for div in divs:
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f_id = div.get("id")
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# parse paragraphs
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for p in div.findall(".//p"):
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p_id = p.get("id").split(".")[-1]
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# parse sentences
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for s in p.findall(".//s"):
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s_id = s.get("id").split(".")[-1]
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sentence_text = ""
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sentence_tokens = []
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# parse tokens
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for el in s.iter():
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if el.tag in self.W_TAGS:
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el_id = el.get("id").split(".")[-1]
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if el_id[0] == 't':
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el_id = el_id[1:] # ssj W_TAG ids start with t
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sentence_text += el.text
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sentence_tokens += [{
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"word": True,
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"tid": int(el_id),
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"text": el.text,
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"lemma": el.get("lemma"),
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"msd": (el.get("msd") if self.corpus == "kres"
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else el.get("ana").split(":")[-1]),
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}]
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elif el.tag in self.C_TAGS:
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# only Kres' C_TAGS have ids
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el_id = el.get("id") or "none"
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el_id = el_id.split(".")[-1]
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sentence_text += el.text
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sentence_tokens += [{
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"word": False,
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"tid": (int(el_id) if self.corpus == "kres" else -1),
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"text": el.text,
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}]
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elif el.tag in self.S_TAGS:
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# Kres' <S /> doesn't contain .text
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sentence_text += " "
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else:
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# pass links and linkGroups
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pass
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sentence_id = "{}.{}.{}".format(f_id, p_id, s_id)
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jos_links = self.parse_jos_links(s)
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if self.corpus == "kres":
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srl_links_raw = srl_from_json.get(sentence_id)
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if srl_links_raw is None:
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srl_links_parsed = None
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self.stats["missing_srl"] += [(sentence_id, sentence_text)]
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else:
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srl_links_parsed = self.parse_srl_links(s, srl_links_raw)
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else:
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srl_links_parsed = self.parse_srl_links(s)
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if len(srl_links_parsed) == 0:
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self.stats["missing_srl"] += [(sentence_id, sentence_text)]
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sentence_entry = {
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"sid": sentence_id,
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"text": sentence_text,
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"tokens": sentence_tokens,
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"jos_links": jos_links,
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"srl_links": srl_links_parsed,
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}
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self.stats["parsed_count"] += 1
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yield (xml_file, sentence_entry)
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