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megaWikibase.py
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megaWikibase.py
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from RaiseWikibase.dbconnection import DBConnection
from RaiseWikibase.datamodel import label, alias, description, snak, claim, entity, namespaces, datatypes
from RaiseWikibase.utils import get_wikidata_properties
from RaiseWikibase.raiser import page, batch
from pathlib import Path
import requests
import time
import numpy as np
import csv
def property_wid(prop=''):
"""Create a simplified JSON represetation (only the label, aliases,
description and one claim) of the first local property 'Wikidata ID'"""
p = entity(labels=label(value='Wikidata ID'),
aliases=alias(value=["WID", 'WikidataID']),
descriptions=description(value="ID of an entity in Wikidata"),
claims=claim(prop='P2',
mainsnak=snak(datatype='string',
value='http://www.wikidata.org/entity/$1',
prop='P2',
snaktype='value')),
etype='property',
datatype='external-id')
p['claims'].update(claim(prop='P3',
mainsnak=snak(datatype='string',
value='http://www.wikidata.org/entity/$1',
prop='P3',
snaktype='value')))
return p
def property_wd(prop=''):
"""For the given PID of a property in Wikidata returns its
simplified JSON represetation (only the label, aliases, description
and one claim)"""
if prop:
r = requests.get('https://www.wikidata.org/entity/' + prop + '.json').json()
po = r.get('entities').get(prop)
p = entity(labels=po.get('labels'),
aliases=po.get('aliases'),
descriptions=po.get('descriptions'),
claims=claim(prop='P1',
mainsnak=snak(datatype='external-id',
value=prop,
prop='P1',
snaktype='value')),
etype='property',
datatype='string')
else:
p = None
return p
def property_hrn(prop=''):
"""Create a simplified JSON represetation (only the label, aliases,
description and one claim) of the first local property 'Native company number'"""
p = entity(labels=label(value='Native company number'),
aliases=alias(value=["Court, code and number", 'Register, type of register and company number',
'Registergericht, Registerart and Handelsregister number ']),
descriptions=description(
value="The registration authority (Amtsgericht), the registration code and the registration number"),
claims={},
etype='property',
datatype='external-id')
return p
def property_wd_all():
""" Send a SPARQL-request to Wikidata, get all properties with labels,
aliases, descriptions and datatypes, and return a list of JSON
representations of the properties"""
props = get_wikidata_properties(language='en')
props = props.replace(np.nan, '').replace("http://www.wikidata.org/entity/", "", regex=True)
props = props.groupby(['propertyWikidata', 'propertyType',
'propertyLabel', 'propertyDescription']
).agg(propertyAlias=('propertyAlias', lambda x: list(x)),
fURL=('fURL', lambda x: list(x)),
cURI=('cURI', lambda x: list(x)),
).reset_index()
props = props[props.propertyWikidata != ("P1630" or "P1921")]
props = props.sort_values(by=['propertyWikidata'],
key=lambda col: col.str.replace('P', '', regex=True).astype(float))
plist = []
for ind, row in props.iterrows():
url, dtype, title, desc, alia, furl, curi = row
p = entity(labels=label(value=title),
aliases=alias(value=alia),
descriptions=description(value=desc),
claims=claim(prop='P1',
mainsnak=snak(datatype='external-id',
value=url,
prop='P1',
snaktype='value')),
etype='property',
datatype=datatypes[dtype])
for f in furl:
if f != '':
p['claims'].update(claim(prop='P2',
mainsnak=snak(datatype='string',
value=f,
prop='P2',
snaktype='value')))
for c in curi:
if c != '':
p['claims'].update(claim(prop='P3',
mainsnak=snak(datatype='string',
value=c,
prop='P3',
snaktype='value')))
plist.append(p)
return plist
def fill_texts():
"""Fill all texts from the texts-folder"""
connection = DBConnection()
cmodelpath = "./texts/"
cmodels = ['wikitext', 'Scribunto']
for cmodel in cmodels:
p = Path(cmodelpath + cmodel)
folders = [x for x in p.iterdir() if x.is_dir()]
for folder in folders:
ns = namespaces[folder.name]
files = [x for x in folder.iterdir() if x.is_file()]
for file in files:
pt = file.name.replace(':', '/')
if pt.endswith('.css'):
cm = 'sanitized-css'
else:
cm = cmodel
text = file.read_text("utf-8")
print(ns, pt, cmodel)
page(connection, cm, ns, text, pt, True)
# Fill the Main page separately
pt = "Main_Page"
p = Path(cmodelpath + pt)
text = p.read_text("utf-8")
page(connection, 'wikitext', 0, text, pt, False)
connection.conn.commit()
connection.conn.close()
if __name__ == "__main__":
time0 = time.time()
# Create first four properties in a local Wikibase
p1 = property_wid()
p2 = property_wd('P1630')
p3 = property_wd('P1921')
p4 = property_hrn()
batch('wikibase-property', [p1, p2, p3, p4])
# Create 8400+ Wikidata properties except of the already created p2 and p3.
plist = property_wd_all()
batch('wikibase-property', plist)
# Fill all texts
fill_texts()
connection = DBConnection()
[opencorporatesid] = connection.search_text_str('OpenCorporates ID', strict=True)
[streetaddress] = connection.search_text_str('street address', strict=True)
[retrieved] = connection.search_text_str('retrieved', strict=True)
[handelnumber] = connection.search_text_str('Native company number', strict=True)
connection.conn.close()
# Process OpenCorporates dataset
# Download https://daten.offeneregister.de/openregister.db.gz
# Unzip and run in shell:
# sqlite3 -header -csv handelsregister.db "select * from company;" > millions_companies.csv
time1 = time.time()
items = []
path_to_ofreg = "./millions_companies.csv"
p = Path(path_to_ofreg)
if p.is_file():
with p.open('r') as f:
reader = csv.reader(f, delimiter=",")
for i, line in enumerate(reader):
if i > 0:
[orid, company_number, current_status, jurisdiction_code, name,
registered_address, retrieved_at, register_flag_AD, register_flag_CD,
register_flag_DK, register_flag_HD, register_flag_SI, register_flag_UT,
register_flag_VOE, federal_state, native_company_number, registered_office,
registrar, register_art, register_nummer, former_registrar, register_flag_,
register_flag_Note, registerNummerSuffix, register_flag_Status_information] = line
e = entity(labels=label(value=name),
aliases={},
descriptions={},
claims=claim(prop=opencorporatesid,
mainsnak=snak(datatype='external-id',
value='de/' + company_number,
prop=opencorporatesid,
snaktype='value'),
qualifiers=[snak("time", ['+' + retrieved_at, 0, 11,
'http://www.wikidata.org/entity/Q1985727'],
retrieved, 'value')],
references=[snak('external-id', 'de/' + company_number,
opencorporatesid, 'value')]),
etype='item')
if registered_address:
e['claims'].update(claim(prop=streetaddress,
mainsnak=snak(datatype='monolingualtext',
value=[registered_address, 'en'],
prop=streetaddress,
snaktype='value'),
qualifiers=[snak("time", ['+' + retrieved_at, 0, 11,
'http://www.wikidata.org/entity/Q1985727'],
retrieved, 'value')],
references=[snak('external-id', 'de/' + company_number,
opencorporatesid, 'value')]))
if native_company_number:
e['claims'].update(claim(prop=handelnumber,
mainsnak=snak(datatype='external-id',
value=native_company_number,
prop=handelnumber,
snaktype='value'),
qualifiers=[snak("time", ['+' + retrieved_at, 0, 11,
'http://www.wikidata.org/entity/Q1985727'],
retrieved, 'value')],
references=[snak('external-id', 'de/' + company_number,
opencorporatesid, 'value')]))
items.append(e)
del e
if i % 1000 == 0:
batch('wikibase-item', items)
print(time.time() - time1)
items = []
if i>=1001:
break
# to make the KG production-ready, execute the following as well
# or run in shell 'docker-compose down' and 'docker-compose up -d' again
# from RaiseWikibase.raiser import building_indexing
# building_indexing()
print(time.time() - time0)