forked from kristjan/cjvt-valency
Merge branch 'master' of gitea.cjvt.si:kristjan/cjvt-valency
This commit is contained in:
commit
4e8447d930
2
.gitignore
vendored
2
.gitignore
vendored
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@ -1,3 +1,3 @@
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data/samples/
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*/__pycache__/
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*egg-info/
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*.pyc
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7
Makefile
7
Makefile
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@ -11,6 +11,9 @@ MAKE_ROOT = $(shell pwd)
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SSJ_FILE = "$(MAKE_ROOT)/data/samples/ssj_example/ssj500k-sl.body.sample.xml"
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KRES_FOLDER = "$(MAKE_ROOT)/data/samples/kres_example"
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KRES_SRL_FOLDER = "$(MAKE_ROOT)/data/kres_srl"
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OUTPUT = "file"
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OUTDIR = "/home/voje/workdir/test_out"
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DBADDR = ""
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export
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.PHONY: dev-env preflight
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@ -30,5 +33,5 @@ data/samples:
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# when debugging, run this once, then run python3 ... by hand
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preflight: data/samples
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pip3 install -e src/pkg/corpusparser/.
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python3 src/preflight/main_parse.py --kres-folder $(KRES_FOLDER) \
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--ssj-file $(SSJ_FILE) --kres-srl-folder $(KRES_SRL_FOLDER)
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python3 src/pkg/corpusparser/corpusparser/main.py --kres-folder $(KRES_FOLDER) \
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--ssj-file $(SSJ_FILE) --kres-srl-folder $(KRES_SRL_FOLDER) --output $(OUTPUT) --outdir $(OUTDIR) --dbaddr $(DBADDR)
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6
data/debugging/dbg.txt
Normal file
6
data/debugging/dbg.txt
Normal file
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F0034713.20.1": [{"dep": "7", "arg": "REC", "from": "9"}, {"dep": "10", "arg": "ACT", "from": "9"}, {"dep": "13", "arg": "MWPRED", "from": "12"}, {"dep": "18", "arg": "MANN", "from": "19"}, {"dep": "20", "arg": "LOC", "from": "19"}]
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Sentence:
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F0034713.20.0
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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21
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Sodobni ali preprosto neosveščeni potrošnik vse prerad zavrže stvar, ki se je malenkostno pokvarila in bi se jo zlahka dalo popraviti.
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@ -1 +1 @@
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/home/kristjan/kres_srl/final_json/
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/home/voje/work_data/final_json
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1
data/kres_srl_ikt
Symbolic link
1
data/kres_srl_ikt
Symbolic link
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/home/voje/work_data/final_json
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1
data/kres_srl_t420
Symbolic link
1
data/kres_srl_t420
Symbolic link
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/home/kristjan/kres_srl/final_json/
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@ -1,14 +1,16 @@
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from corpusparser import Sentence
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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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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, infiles):
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def __init__(self, corpus, infiles, logger=None):
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if corpus == "kres":
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self.kres_folder = Path(infiles[0])
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@ -22,6 +24,11 @@ class Parser():
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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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def parse_jos_links(self, sent_el):
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if self.corpus == "kres":
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@ -64,37 +71,40 @@ class Parser():
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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):
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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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print("HA")
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if len(sent_srl_links) == 0:
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print("HI")
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return []
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print(sent_srl_dict)
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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 []
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return res_links
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def parse(self):
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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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if self.corpus == "kres":
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for xml_file in self.kres_folder.iterdir():
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self.parse_xml_file(xml_file)
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break # TODO dev break
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# self.parse_xml_file(xml_file)
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yield from self.parse_xml_file(xml_file)
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else:
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self.parse_xml_file(self.ssj_file)
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yield from self.parse_xml_file(self.ssj_file)
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def parse_xml_file(self, xml_file):
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srl_dict = {}
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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_dict = json.loads(fp.read())
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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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@ -112,7 +122,7 @@ class Parser():
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else:
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divs = root.findall(".//div")
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res_dict = [] # TODO: try making an iterator instead
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res_dict = {}
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# parse divs
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for div in divs:
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@ -150,7 +160,7 @@ class Parser():
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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": el_id,
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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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@ -161,22 +171,26 @@ class Parser():
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pass
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sentence_id = "{}.{}.{}".format(f_id, p_id, s_id)
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# make a generator instead of holding the whole corpus in memory
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if sentence_id in res_dict:
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raise KeyError("duplicated id: {}".format(sentence_id))
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jos_links = self.parse_jos_links(s)
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srl_links = srl_dict.get(sentence_id) if self.corpus == "kres" else None
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srl_links_fixed = self.parse_srl_links(s, srl_links)
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print(srl_links)
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res_dict[sentence_id] = {
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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": "BBBB",
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"srl_links": "AAAAA",
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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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print(res_dict[sentence_id])
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print("------------------------------------------------- END")
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return # TODO dev break
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return res_dict
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self.stats["parsed_count"] += 1
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yield (xml_file, sentence_entry)
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38
src/pkg/corpusparser/corpusparser/README.md
Normal file
38
src/pkg/corpusparser/corpusparser/README.md
Normal file
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# corpusparser
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A tool for parsing ssj500k and Kres into a unified .json format.
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## Input:
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### ssj500k
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To parse ssj500k, point to the monolythic `ssj500k-sl.body.xml` file (tested on ssj500k 2.1).
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### Kres
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To parse Kres, point to folders:
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* Kres folder, containig several (around 20K) .xml files (`F00XXXXX.xml.parsed.xml`).
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* Kres SRL folder, containing SRL links for the corresponding F00...xml files (`F00XXXXX.srl.json`).
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## Internal data format
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This is the internal python dict data format. It can be stored to file as `.json` or stored into a database for application usage.
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```python
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{
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'sid': 'F0034713.5.0',
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'text': 'Mednarodni denarni sklad je odobril 30 milijard evrov vredno posojilo Grčiji. ',
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'tokens': [
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{'text': 'Mednarodni', 'lemma': 'mednaroden', 'msd': 'Ppnmeid', 'word': True, 'tid': 1},
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{'text': 'denarni', 'lemma': 'denaren', 'msd': 'Ppnmeid', 'word': True, 'tid': 2},
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{'text': 'sklad', 'lemma': 'sklad', 'msd': 'Somei', 'word': True, 'tid': 3},
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{'text': 'je', 'lemma': 'biti', 'msd': 'Gp-ste-n', 'word': True, 'tid': 4},
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{'text': 'odobril', 'lemma': 'odobriti', 'msd': 'Ggdd-em', 'word': True, 'tid': 5},
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{'text': '30', 'lemma': '30', 'msd': 'Kag', 'word': True, 'tid': 6},
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{'text': 'milijard', 'lemma': 'milijarda', 'msd': 'Sozmr', 'word': True, 'tid': 7}, # ...
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]
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'jos_links': [
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{'to': 1, 'from': 3, 'afun': 'dol'},
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{'to': 2, 'from': 3, 'afun': 'dol'},
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{'to': 3, 'from': 5, 'afun': 'ena'}, # ...
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]
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'srl_links': [
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{'to': 3, 'from': 5, 'afun': 'ACT'},
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{'to': 7, 'from': 5, 'afun': 'PAT'}
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]
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}
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```
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@ -1,3 +0,0 @@
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class Sentence():
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def __init__():
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print("Sentence __init__(): TODO")
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@ -1,2 +1 @@
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from corpusparser.Parser import Parser
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from corpusparser.Sentence import Sentence
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Binary file not shown.
Binary file not shown.
Binary file not shown.
102
src/pkg/corpusparser/corpusparser/main.py
Normal file
102
src/pkg/corpusparser/corpusparser/main.py
Normal file
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from pathlib import Path
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from corpusparser import Parser
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import argparse
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import logging
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import json
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logging.basicConfig(level=logging.INFO)
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logger = logging.getLogger(__name__)
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## Main handles command line arguments and writing to files / DB.
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def ssj_to_json_file(sentence_generator, outfolder):
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# this funciton is based on the fact that files are parsed sequentially
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outfolder = Path(outfolder)
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outfolder.mkdir(parents=True, exist_ok=True)
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outfile = outfolder / "ssj500k.json"
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data_buffer = []
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for s in sentence_generator:
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sdata = s[1]
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data_buffer += [sdata]
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# outfile = Path(outfile)
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with outfile.open("w") as fp:
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logger.info("Writing to {}".format(outfile))
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json.dump(data_buffer, fp)
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def kres_to_json_files(sentence_generator, outfolder):
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outfolder = Path(outfolder) / "kres_json"
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outfolder.mkdir(parents=True, exist_ok=True)
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def write_buffer_to_file(outfile, outfile_buffer):
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logger.info("Writing file: {}".format(outfile))
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with outfile.open("w") as fp:
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json.dump(outfile_buffer, fp)
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outfile_buffer = None
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current_outfile = None
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for s in sentence_generator:
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infile = s[0]
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outfile = outfolder / Path(infile.name.split(".")[0]).with_suffix(".json")
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# parser sequentially parses files; when we're done with a file, write it out
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if current_outfile is None:
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current_outfile = outfile
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outfile_buffer = []
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elif outfile != current_outfile:
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write_buffer_to_file(current_outfile, outfile_buffer)
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current_outfile = outfile
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outfile_buffer = []
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# update buffer
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sdata = s[1]
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outfile_buffer += [sdata]
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write_buffer_to_file(current_outfile, outfile_buffer)
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def to_db():
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return "TODO"
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if __name__ == "__main__":
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parser = argparse.ArgumentParser(description="Parsing corpora kres and ssj500k.")
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parser.add_argument('--kres-folder', required=True)
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parser.add_argument('--kres-srl-folder', required=True)
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parser.add_argument('--ssj-file', required=True)
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parser.add_argument('--output', required=False, default=None)
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parser.add_argument('--outdir', required=False, default=None)
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parser.add_argument('--dbaddr', required=False, default=None)
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args = parser.parse_args()
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# parse ssj
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logger.info("Parsing ssj500k: {}".format(args.ssj_file))
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ssj_parser = Parser(
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corpus="ssj",
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infiles=[args.ssj_file],
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)
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# res = [x[1]["sid"] for x in ssj_parser.sentence_generator()]
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# logger.info("Parsed {} sentences (ssj500k)".format(len(res)))
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# ssj to json
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ssj_to_json_file(ssj_parser.sentence_generator(), args.outdir)
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# parse kres
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logger.info("Parsing Kres: {}".format(args.ssj_file))
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kres_parser = Parser(
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corpus="kres",
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infiles=[args.kres_folder, args.kres_srl_folder],
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)
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# res = [x[1]["sid"] for x in kres_parser.sentence_generator()]
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# logger.info("Parsed {} sentences (kres)".format(len(res)))
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# kres to json
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kres_to_json_files(kres_parser.sentence_generator(), args.outdir)
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## Handling output is situational --- implement it outside of Parser.
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## Parser returns tuples (orig_file, element)
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# 1. parse per-file and output to file (JSON)
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# 2. parse and save to DB
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# TODO
|
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@ -1,25 +0,0 @@
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from corpusparser import Parser
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import argparse
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if __name__ == "__main__":
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parser = argparse.ArgumentParser(description="Parsing corpora kres and ssj500k.")
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parser.add_argument('--kres-folder', required=True)
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parser.add_argument('--kres-srl-folder', required=True)
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parser.add_argument('--ssj-file', required=True)
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args = parser.parse_args()
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# parse ssj
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"""
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ssj_parser = Parser(
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corpus="ssj",
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infiles=[args.ssj_file]
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)
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ssj_parser.parse()
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"""
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# parse kres
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kres_parser = Parser(
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corpus="kres",
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infiles=[args.kres_folder, args.kres_srl_folder]
|
||||
)
|
||||
kres_parser.parse()
|
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Block a user