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corpusparser as standalone project

bug_fix
voje 2 years ago
commit
f87eafd9f2
  1. 35
      Makefile
  2. 41
      README.md
  3. 10
      corpusparser.egg-info/PKG-INFO
  4. 5
      corpusparser.egg-info/SOURCES.txt
  5. 1
      corpusparser.egg-info/dependency_links.txt
  6. 1
      corpusparser.egg-info/not-zip-safe
  7. 1
      corpusparser.egg-info/top_level.txt
  8. 196
      corpusparser/Parser.py
  9. 1
      corpusparser/__init__.py
  10. 102
      corpusparser/main.py
  11. 15
      dockerfiles/cjvt-corpusparser-env/Dockerfile
  12. 19
      dockerfiles/cjvt-corpusparser-env/Makefile
  13. 10
      setup.py

35
Makefile

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# All required components, to create and fill a database,
# instantiate backend and frontend.
MAKE_ROOT = $(shell pwd)
### Input data
# I received ssj500k in one .xml file,
# kres is composed of many .xml files
# I generated srl tags for kres in separate .json files
# (for each kres.xml file there is a kres.json file with srl tags)
SSJ_FILE = "$(MAKE_ROOT)/data/samples/ssj_example/ssj500k-sl.body.sample.xml"
KRES_FOLDER = "$(MAKE_ROOT)/data/samples/kres_example"
KRES_SRL_FOLDER = "$(MAKE_ROOT)/data/kres_srl"
OUTPUT = "file"
OUTDIR = "/home/voje/workdir/test_out"
DBADDR = ""
DB_ADM_USER = testadmin
DB_ADM_PASS = testadminpass
DB_USR_USER = testuser
DB_USR_PASS = testuserpass
export
.PHONY: cjvt-corpusparser-env
all: cjvt-corpusparser-env install
# prereq (environment)
cjvt-corpusparser-env:
cd dockerfiles/cjvt-corpusparser-env; $(MAKE)
# commands inside containers:
install:
pip3 install -e .

41
README.md

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# corpusparser
A tool for parsing ssj500k and Kres into a unified .json format.
## Quickstart
Run `make`. You will get a container with python3 and this package installed.
## Input:
### ssj500k
To parse ssj500k, point to the monolythic `ssj500k-sl.body.xml` file (tested on ssj500k 2.1).
### Kres
To parse Kres, point to folders:
* Kres folder, containig several (around 20K) .xml files (`F00XXXXX.xml.parsed.xml`).
* Kres SRL folder, containing SRL links for the corresponding F00...xml files (`F00XXXXX.srl.json`).
## Internal data format
This is the internal python dict data format. It can be stored to file as `.json` or stored into a database for application usage.
```python
{
'sid': 'F0034713.5.0',
'text': 'Mednarodni denarni sklad je odobril 30 milijard evrov vredno posojilo Grčiji. ',
'tokens': [
{'text': 'Mednarodni', 'lemma': 'mednaroden', 'msd': 'Ppnmeid', 'word': True, 'tid': 1},
{'text': 'denarni', 'lemma': 'denaren', 'msd': 'Ppnmeid', 'word': True, 'tid': 2},
{'text': 'sklad', 'lemma': 'sklad', 'msd': 'Somei', 'word': True, 'tid': 3},
{'text': 'je', 'lemma': 'biti', 'msd': 'Gp-ste-n', 'word': True, 'tid': 4},
{'text': 'odobril', 'lemma': 'odobriti', 'msd': 'Ggdd-em', 'word': True, 'tid': 5},
{'text': '30', 'lemma': '30', 'msd': 'Kag', 'word': True, 'tid': 6},
{'text': 'milijard', 'lemma': 'milijarda', 'msd': 'Sozmr', 'word': True, 'tid': 7}, # ...
]
'jos_links': [
{'to': 1, 'from': 3, 'afun': 'dol'},
{'to': 2, 'from': 3, 'afun': 'dol'},
{'to': 3, 'from': 5, 'afun': 'ena'}, # ...
]
'srl_links': [
{'to': 3, 'from': 5, 'afun': 'ACT'},
{'to': 7, 'from': 5, 'afun': 'PAT'}
]
}
```

10
corpusparser.egg-info/PKG-INFO

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Metadata-Version: 1.0
Name: corpusparser
Version: 0.0.1
Summary: Parser for kres and ssj500k
Home-page: UNKNOWN
Author: Kristjan Voje
Author-email: kristjan.voje@gmail.com
License: MIT
Description: UNKNOWN
Platform: UNKNOWN

5
corpusparser.egg-info/SOURCES.txt

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corpusparser.egg-info/PKG-INFO
corpusparser.egg-info/SOURCES.txt
corpusparser.egg-info/dependency_links.txt
corpusparser.egg-info/not-zip-safe
corpusparser.egg-info/top_level.txt

1
corpusparser.egg-info/dependency_links.txt

@ -0,0 +1 @@

1
corpusparser.egg-info/not-zip-safe

@ -0,0 +1 @@

1
corpusparser.egg-info/top_level.txt

@ -0,0 +1 @@

196
corpusparser/Parser.py

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

1
corpusparser/__init__.py

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from corpusparser.Parser import Parser

102
corpusparser/main.py

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from pathlib import Path
from corpusparser import Parser
import argparse
import logging
import json
logging.basicConfig(level=logging.INFO)
logger = logging.getLogger(__name__)
## Main handles command line arguments and writing to files / DB.
def ssj_to_json_file(sentence_generator, outfolder):
# this funciton is based on the fact that files are parsed sequentially
outfolder = Path(outfolder)
outfolder.mkdir(parents=True, exist_ok=True)
outfile = outfolder / "ssj500k.json"
data_buffer = []
for s in sentence_generator:
sdata = s[1]
data_buffer += [sdata]
# outfile = Path(outfile)
with outfile.open("w") as fp:
logger.info("Writing to {}".format(outfile))
json.dump(data_buffer, fp)
def kres_to_json_files(sentence_generator, outfolder):
outfolder = Path(outfolder) / "kres_json"
outfolder.mkdir(parents=True, exist_ok=True)
def write_buffer_to_file(outfile, outfile_buffer):
logger.info("Writing file: {}".format(outfile))
with outfile.open("w") as fp:
json.dump(outfile_buffer, fp)
outfile_buffer = None
current_outfile = None
for s in sentence_generator:
infile = s[0]
outfile = outfolder / Path(infile.name.split(".")[0]).with_suffix(".json")
# parser sequentially parses files; when we're done with a file, write it out
if current_outfile is None:
current_outfile = outfile
outfile_buffer = []
elif outfile != current_outfile:
write_buffer_to_file(current_outfile, outfile_buffer)
current_outfile = outfile
outfile_buffer = []
# update buffer
sdata = s[1]
outfile_buffer += [sdata]
write_buffer_to_file(current_outfile, outfile_buffer)
def to_db():
return "TODO"
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('--output', required=False, default=None)
parser.add_argument('--outdir', required=False, default=None)
parser.add_argument('--dbaddr', required=False, default=None)
args = parser.parse_args()
# parse ssj
logger.info("Parsing ssj500k: {}".format(args.ssj_file))
ssj_parser = Parser(
corpus="ssj",
infiles=[args.ssj_file],
)
# res = [x[1]["sid"] for x in ssj_parser.sentence_generator()]
# logger.info("Parsed {} sentences (ssj500k)".format(len(res)))
# ssj to json
ssj_to_json_file(ssj_parser.sentence_generator(), args.outdir)
# parse kres
logger.info("Parsing Kres: {}".format(args.ssj_file))
kres_parser = Parser(
corpus="kres",
infiles=[args.kres_folder, args.kres_srl_folder],
)
# res = [x[1]["sid"] for x in kres_parser.sentence_generator()]
# logger.info("Parsed {} sentences (kres)".format(len(res)))
# kres to json
kres_to_json_files(kres_parser.sentence_generator(), args.outdir)
## Handling output is situational --- implement it outside of Parser.
## Parser returns tuples (orig_file, element)
# 1. parse per-file and output to file (JSON)
# 2. parse and save to DB
# TODO

15
dockerfiles/cjvt-corpusparser-env/Dockerfile

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FROM ubuntu:16.04
RUN apt-get update --fix-missing
RUN apt-get install -y \
vim \
python3 \
python3-pip \
sshfs
RUN pip3 install \
lxml \
argparse \
pathlib
ENV PYTHONIOENCODING UTF-8

19
dockerfiles/cjvt-corpusparser-env/Makefile

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IMAGE_NAME="cjvt-corpusparser-env"
all: build run
build:
docker build . -t $(IMAGE_NAME)
run:
docker run \
-it \
-v /home/${USER}:/home/${USER} \
--user $(shell id -u):$(shell id -g) \
-v /etc/passwd:/etc/passwd \
-v /etc/group:/etc/group \
-v $(MAKE_ROOT):/project \
-w /project \
$(IMAGE_NAME) \
/bin/bash

10
setup.py

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from setuptools import setup
setup(name='corpusparser',
version='0.0.1',
description=u"Parser for kres and ssj500k",
author=u"Kristjan Voje",
author_email='kristjan.voje@gmail.com',
license='MIT',
zip_safe=False,
)
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