data-export/src/build_context_prod.py at main · SemanticLab/data-export · GitHub

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import requests

import json

def to_camel_case(text):

s = text.replace("-", " ").replace("_", " ")

s = s.split()

if len(text) == 0:

return text

return s[0] + ''.join(i.capitalize() for i in s[1:])

# load the template

context_data = json.load(open('../context/dev-context.jsonld'))

context_data_strict = json.load(open('../context/dev-context.jsonld'))

context_reverse_lookup = {}

sparql = """

SELECT ?property ?propertyLabel ?exportAlias ?propertyDescription (GROUP_CONCAT(DISTINCT(?altLabel); separator = ", ") AS ?altLabel_list) (GROUP_CONCAT(DISTINCT(?equalProp); separator = ", ") AS ?equalProp_list) WHERE {

?property a wikibase:Property .

OPTIONAL { ?property skos:altLabel ?altLabel . FILTER (lang(?altLabel) = "en") }

OPTIONAL { ?property wdt:P41 ?equalProp .}

OPTIONAL { ?property wdt:P204 ?exportAlias .}

SERVICE wikibase:label { bd:serviceParam wikibase:language "en" .}

}

GROUP BY ?property ?propertyLabel ?exportAlias ?propertyDescription

LIMIT 5000

"""

headers = {

'Accept': 'application/sparql-results+json',

'User-Agent': 'semlab-data-process',

}

params = {

'query' : sparql

}

response = requests.get(

'https://query.semlab.io/proxy/wdqs/bigdata/namespace/wdq/sparql',

params=params,

headers=headers,

)

data = response.json()

for result in data['results']['bindings']:

try:

alias = result['exportAlias']['value']

except:

print(" No exprot alias set for:",result)

alias = to_camel_case(result['propertyLabel']['value'])

uri = result['property']['value']

toadd = {

'@id' : uri,

'skos:prefLabel': result['propertyLabel']['value']

}

if 'altLabel_list' in result:

altLabels = [x.strip() for x in result['altLabel_list']['value'].split(",")]

while("" in altLabels):

altLabels.remove("")

if len(altLabels) >0:

toadd['skos:altLabel'] = altLabels

if 'equalProp_list' in result:

equalProp_list = [x.strip() for x in result['equalProp_list']['value'].split(",")]

while("" in equalProp_list):

equalProp_list.remove("")

if len(equalProp_list) >0:

toadd['owl:equivalentClass'] = equalProp_list

if 'propertyDescription' in result:

desc = result['propertyDescription']['value']

toadd['skos:note'] = desc

context_data['@context'][alias] = toadd

context_data_strict['@context'][alias] = {

'@id' : uri.replace("http://base.semlab.io/entity/",'semlab:'),

"@type": "@id",

"@container": "@set"

}

# '@type': 'rdf:Property'

context_reverse_lookup[uri] = alias

# --------

sparql = """

SELECT ?instanceOf ?instanceOfLabel ?instanceOfDescription (GROUP_CONCAT(DISTINCT(?altLabel); separator = ", ") AS ?altLabel_list) (GROUP_CONCAT(DISTINCT(?equalClass); separator = ", ") AS ?equalClass_list) WHERE {

?item wdt:P1 ?instanceOf

OPTIONAL { ?instanceOf skos:altLabel ?altLabel . FILTER (lang(?altLabel) = "en") }

OPTIONAL { ?instanceOf wdt:P54 ?equalClass .}

SERVICE wikibase:label { bd:serviceParam wikibase:language "en" .}

}

GROUP BY ?instanceOf ?instanceOfLabel ?instanceOfDescription

ORDER BY LCASE(?instanceOfLabel)

LIMIT 5000

"""

headers = {

'Accept': 'application/sparql-results+json',

'User-Agent': 'semlab-data-process',

}

params = {

'query' : sparql

}

response = requests.get(

'https://query.semlab.io/proxy/wdqs/bigdata/namespace/wdq/sparql',

params=params,

headers=headers,

)

data = response.json()

for result in data['results']['bindings']:

alias = result['instanceOfLabel']['value'].lower().title().replace(" ",'')

uri = result['instanceOf']['value']

toadd = {

'@type': 'rdfs:Class',

'@id' : uri,

'skos:prefLabel': result['instanceOfLabel']['value']

}

if 'altLabel_list' in result:

altLabels = [x.strip() for x in result['altLabel_list']['value'].split(",")]

while("" in altLabels):

altLabels.remove("")

if len(altLabels) >0:

toadd['skos:altLabel'] = altLabels

if 'equalClass_list' in result:

equalClass_list = [x.strip() for x in result['equalClass_list']['value'].split(",")]

while("" in equalClass_list):

equalClass_list.remove("")

if len(equalClass_list) >0:

toadd['owl:equivalentClass'] = equalClass_list

if 'instanceOfDescription' in result:

desc = result['instanceOfDescription']['value']

toadd['skos:note'] = desc

context_data['@context'][alias] = toadd

context_data_strict['@context'][alias] = {

'@id' : uri.replace("http://base.semlab.io/entity/",'semlab:'),

"@type": "@id",

}

# "@type": "@id",

context_reverse_lookup[uri] = alias

json.dump(context_data_strict, open('../context/context.jsonld','w'), indent=2)

json.dump(context_data,open('../context/context-doc.jsonld','w'), indent=2)

json.dump(context_reverse_lookup,open('../context/context-lookup.json','w'),indent=2)

# "MusicVenue" : "https://base.semlab.io/entity/Q18806",

# "Block" : "https://base.semlab.io/entity/Q2013",

# "instanceOf":{

# "@id": "https://base.semlab.io/entity/P01",

# "skos:note": "that class of which this subject is a particular example and member",

# "owl:equivalentProperty": ['http://www.w3.org/1999/02/22-rdf-syntax-ns#type', 'https://www.wikidata.org/wiki/Property:P31']

# }

# instance_of_mapping = {

# "Q1" : "foaf:Person",

# "Q18805": "mo:MusicGroup",

# "Q2013" : "Block",

# "Q18806" : "MusicVenue"

# }

# attribute_mappings = {

# "P42" : "demographica",

# "P8" : "wikidataQId",

# "P3" : "schema:image",

# "P69" : "residentOf",

# "P44" : "occupation",

# "P43" : "countryOfCitizenship",

# "P152" : "streetAddress",

# }

# relationship_mappings = {

# "P29" : "lj:knowsOf",

# "P39" : "lj:influencedBy",

# "P36" : "lj:playedTogether",

# "P32" : "rel:acquaintanceOf",

# "P31" : "mo:collaborated_with",

# "P33" : "rel:hasMet",

# "P34" : "rel:friendOf",

# "P30" : "rel:mentorOf",

# "P35" : "lj:inBandTogether",

# "P38" : "lj:touredWith",

# "P68" : "performedAt",

# "P37" : "playedUnder",

# "P160" : "lj:bandLeaderOf",

# "P65" : "memberOf",

# "P110" : "schema:worksFor",

# "P70" : "grewUpWith",

# "P67" : "visitedPlace",

# "P113" : "relativeOf",

# "P71" : "recordedWith",

# "P172" : "photographedBy",

# "P72" : "lj:bandLeaderOf",

# "P123" : "lifePartner",

# "P168" : "attendedPerformanceAt",

# "P63" : "attendedPerformanceOf",

# "P144" : "booked",

# "P66" : "knowsOfPlace",

# "P143" : "frequentedPlace",

# "P161" : "rel:mentorOf",

# "P159" : "recordedAtPlace",

# "P196" : "contributedTo",

# "P111" : "wasInvitedTo",

# "P158" : "supervisorOf",

# "P154" : "supervisedBy",

# "P162" : "studentOf"

# }

# ref_qual_mapping = {

# 'P25': "semlab:relationshipGeneration",

# "P26" : "semlab:referenceBlock",

# "P40" : "semlab:crowdSourceConsensus",

# "xxxxx" : "xxxxxxxxx",

# }

# all_agents = []

# blockToUrl = {}

# labelLookup = {}

# typeLookup = {}

# blankNodeCounter = 0

# def blankNodeID():

# global blankNodeCounter

# blankNodeCounter+=1

# return f"_bn{blankNodeCounter}"

# def getLabel(qid):

# global labelLookup

# if qid in labelLookup:

# return(labelLookup[qid])

# else:

# return(f"semlab:{qid}")

# def getType(qid):

# global typeLookup

# if qid in typeLookup:

# return(typeLookup[qid])

# else:

# return(f"semlab:NoType")

# def returnValues(claims):

# values = {

# 'items': [],

# 'literals': []

# }

# for claim in claims:

# if 'entity-type' in claim['mainsnak']['datavalue']['value']:

# c = {

# 'qid': claim['mainsnak']['datavalue']['value']['id'],

# 'label' : getLabel(claim['mainsnak']['datavalue']['value']['id']),

# 'quals': [],

# 'refs': [],

# }

# t = getType(c['qid'])

# if t in instance_of_mapping:

# c['@type'] = instance_of_mapping[t]

# else:

# c['@type'] = f"semlab:{t}"

# if 'qualifiers' in claim:

# for qual_property in claim['qualifiers']:

# for qual_claim in claim['qualifiers'][qual_property]:

# if 'entity-type' in qual_claim['datavalue']['value']:

# q = {

# 'qid': qual_claim['datavalue']['value']['id'],

# 'label' : getLabel(qual_claim['datavalue']['value']['id'])

# }

# if qual_property in ref_qual_mapping:

# q['prop'] = ref_qual_mapping[qual_property]

# else:

# q['prop'] = f"semlab:{qual_property}"

# c['quals'].append(q)

# else:

# q = {

# 'value': qual_claim['datavalue']['value']

# }

# if qual_property in ref_qual_mapping:

# q['prop'] = ref_qual_mapping[qual_property]

# else:

# q['prop'] = f"semlab:{qual_property}"

# c['quals'].append(q)

# if 'references' in claim:

# for ref_claims in claim['references']:

# for ref_property in ref_claims['snaks']:

# for ref_claim in ref_claims['snaks'][ref_property]:

# if 'entity-type' in ref_claim['datavalue']['value']:

# q = {

# 'qid': ref_claim['datavalue']['value']['id'],

# 'label' : getLabel(ref_claim['datavalue']['value']['id'])

# }

# if ref_property in ref_qual_mapping:

# q['prop'] = ref_qual_mapping[ref_property]

# else:

# q['prop'] = f"semlab:{ref_property}"

# t = getType(q['qid'])

# if t in instance_of_mapping:

# q['@type'] = instance_of_mapping[t]

# else:

# q['@type'] = f"semlab:{t}"

# c['refs'].append(q)

# else:

# q = {

# 'value': ref_claim['datavalue']['value']

# }

# if ref_property in ref_qual_mapping:

# q['prop'] = ref_qual_mapping[ref_property]

# else:

# q['prop'] = f"semlab:{ref_property}"

# c['refs'].append(q)

# values['items'].append(c)

# elif 'entity-type' not in claim['mainsnak']['datavalue']['value']:

# c = {

# 'value': claim['mainsnak']['datavalue']['value'],

# }

# values['literals'].append(c)

# return values

# # get the labels for everything

# sparql = """

# SELECT ?item ?itemLabel

# WHERE

# {

# ?item wdt:P1 ?type.

# SERVICE wikibase:label { bd:serviceParam wikibase:language "[AUTO_LANGUAGE],en". } # Helps get the label in your language, if not, then en language

# }

# """

# headers = {

# 'Accept': 'application/sparql-results+json',

# }

# params = {

# 'query' : sparql

# }

# response = requests.get(

# 'https://query.semlab.io/proxy/wdqs/bigdata/namespace/wdq/sparql',

# params=params,

# headers=headers,

# )

# data = response.json()

# for result in data['results']['bindings']:

# labelLookup[result['item']['value'].split('/')[-1]] = result['itemLabel']['value']

# # get the types for everything

# sparql = """

# SELECT ?item ?type

# WHERE

# {

# ?item wdt:P1 ?type.

# SERVICE wikibase:label { bd:serviceParam wikibase:language "[AUTO_LANGUAGE],en". } # Helps get the label in your language, if not, then en language

# }

# """

# headers = {

# 'Accept': 'application/sparql-results+json',

# }

# params = {

# 'query' : sparql

# }

# response = requests.get(

# 'https://query.semlab.io/proxy/wdqs/bigdata/namespace/wdq/sparql',

# params=params,

# headers=headers,

# )

# data = response.json()

# for result in data['results']['bindings']:

# typeLookup[result['item']['value'].split('/')[-1]] = result['type']['value'].split('/')[-1]

# # get all the agents for this project

# sparql = """

# SELECT ?item

# WHERE

# {

# VALUES ?instaceOfTypes {wd:Q1 wd:Q18805} .

# ?item wdt:P1 ?instaceOfTypes .

# ?item wdt:P11 wd:Q21217 .

# }

# """

# headers = {

# 'Accept': 'application/sparql-results+json',

# }

# params = {

# 'query' : sparql

# }

# response = requests.get(

# 'https://query.semlab.io/proxy/wdqs/bigdata/namespace/wdq/sparql',

# params=params,

# headers=headers,

# )

# data = response.json()

# all_agents = []

# counter = 0

# for result in data['results']['bindings']:

# qid = result['item']['value'].split('/')[-1]

# # qid = 'Q16'

# url = f"https://base.semlab.io/wiki/Special:EntityData/{qid}.json"

# special_data_page = requests.get(url,headers=headers)

# agent_data = special_data_page.json()

# agent_data = agent_data['entities'][qid]

# label = "No Label"

# if 'labels' in agent_data:

# if 'en' in agent_data['labels']:

# label = agent_data['labels']['en']['value']

# # build the main agent first

# agent = {

# "@context": "https://raw.githubusercontent.com/SemanticLab/data-export/main/context/dev-context.jsonld",

# "@id" : f"semlab:{qid}",

# "rdfs:label" : label,

# }

# for claim in agent_data['claims']:

# if claim == 'P1':

# values = returnValues(agent_data['claims'][claim])

# if len(values['items']) > 0:

# agent['@type'] = []

# for item in values['items']:

# t = f"semlab:{item['qid']}"

# if item['qid'] in instance_of_mapping:

# t = instance_of_mapping[item['qid']]

# agent['@type'].append(t)

# # agent['@type'] = instance_of_mapping[claim]

# if claim in attribute_mappings:

# values = returnValues(agent_data['claims'][claim])

# p = attribute_mappings[claim]

# agent[p] = []

# if len(values['literals']) > 0:

# for l in values['literals']:

# agent[p].append(l['value'])

# if len(values['items']) > 0:

# for i in values['items']:

# agent[p].append({

# '@id': f"semlab:{i['qid']}",

# 'rdfs:label': i['label']

# })

# if claim in relationship_mappings:

# values = returnValues(agent_data['claims'][claim])

# p = relationship_mappings[claim]

# if len(values['items']) > 0:

# agent[p] = []

# for i in values['items']:

# event = {

# "@id" : blankNodeID(),

# "@type" : "semlab:RelEvent",

# "semlab:agentObj" : [],

# }

# event_agent = {

# "@id" : f"semlab:{i['qid']}",

# "rdfs:label" : i['label']

# }

# if '@type' in i:

# event_agent['@type'] = i['@type']

# if len(i['quals']) > 0:

# event_agent_quals = {}

# for qual in i['quals']:

# if qual['prop'] not in event_agent_quals:

# event_agent_quals[qual['prop']] = []

# if 'qid' in qual:

# tmpq = {

# '@id' : f"semlab:{qual['qid']}",

# "rdfs:label" : qual['label']

# }

# event_agent_quals[qual['prop']].append(tmpq)

# else:

# tmpq = qual['value']

# event_agent_quals[qual['prop']].append(tmpq)

# for key in event_agent_quals:

# event_agent[key] = event_agent_quals[key]

# event['semlab:agentObj'] = event_agent

# if len(i['refs']) > 0:

# event_refs = {}

# for ref in i['refs']:

# if ref['prop'] not in event_refs:

# event_refs[ref['prop']] = []

# if 'qid' in ref:

# r = {

# '@id': f"semlab:{ref['qid']}",

# "rdfs:label" : ref['label'],

# }

# if ref['qid'] in blockToUrl:

# r['semlab:blockTextURL'] = blockToUrl[ref['qid']]

# event_refs[ref['prop']].append(r)

# else:

# event_refs[ref['prop']].append(ref['value'])

# for key in event_refs:

# event[key] = event_refs[key]

# agent[p].append(event)

# counter+=1

# # print(json.dumps(agent,indent=2))

# all_agents.append(agent)

# print (f"{counter}/{len(data['results']['bindings'])}")

# # if counter>10:

# # break

# json.dump(all_agents,open('../data/lj_all_agents.json','w'),indent=2)

data-export/src/build_context_prod.py at main · SemanticLab/data-export · GitHub

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