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0_parse.py
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0_parse.py
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#!/usr/bin/env python3
from elasticsearch import Elasticsearch
from elasticsearch_dsl import Document, Date, Integer, Keyword, Text, connections
from elasticsearch import helpers
import xml.etree.ElementTree as ET
INDEX_APPL = "ep_patent_applications"
INDEX_CIT = "ep_patent_citations"
def gendata(records, index, type):
for k,v in zip(records.keys(),records.values()):
yield {
"_index": index,
# "_type": type,
"_id": k,
"_source": v
}
def extract_classifications(line):
#words = line.split("\t")[6].split(" ")
#indices = [i for i, x in enumerate(words) if "<classification-ipcr><text>" in x]
#return [words[i][words[i].find("<classification-ipcr><text>")+27:words[i].find("<classification-ipcr><text>")+31] for i in indices]
classifications_list = []
start_classification = line.find("<classifications-ipcr>")
#print(line[start_classification:])
relative_end_classification = line[start_classification:].find("</classifications-ipcr>")+23
classification_string = line[start_classification:start_classification+relative_end_classification]
try:
treeRoot = ET.fromstring(classification_string)
for classifications in treeRoot.findall('classification-ipcr'):
for classification in classifications:
classifications_list.append(classification.text)
except:
print("error classification for line: " + classification_string)
return classifications_list
def extract_citationIDs(application_identifier, line):
words = line.split("\t")[6].split(" ")
indices = [i for i, x in enumerate(words) if "sr-cit" in x]
return [application_identifier + "_" + words[i][words[i].find("sr-cit")+6:words[i].find("sr-cit")+10] for i in indices]
def normalize_claims(claims):
normalized_claims = []
for claim in claims.split(","):
if "-" not in claim:
normalized_claims.append(int(claim))
else:
for number in range(int(claim.split("-")[0]),int(claim.split("-")[1])+1):
normalized_claims.append(number)
return normalized_claims
def extract_citation_entry(citation_id, searchreport_line):
# gibt vollen Eintrag fuer citation Tabelle zurueck
#Finde Citation Abschnitt Start und relativ zum Start das Ende
citation = {}
start_citation = searchreport_line.find("<citation id=\"sr-cit"+citation_id[-4:]) #26
# print(searchreport_line[start_citation:])
relative_end_citation = searchreport_line[start_citation:].find("</citation>")+11
citation_string = searchreport_line[start_citation:start_citation+relative_end_citation]
try:
treeRoot = ET.fromstring(citation_string)
except:
print("error citation for line: "+citation_string)
return citation
treeRoot.findall('category')
last_category = ""
for element in treeRoot:
#print(element, element.tag, element.attrib, element.text)
if element.tag == "category":
last_category =element.text
elif element.tag == "rel-claims":
for category in last_category.split(","):
citation.update({"category"+"_"+category:normalize_claims(element.text)})
elif element.tag == "rel-passage":
for category in last_category.split(","):
for passage in element:
old_rel_passage = citation.get("rel-passage"+ "_"+ category)
if old_rel_passage == None:
old_rel_passage=""
citation.update({"rel-passage"+"_"+category:old_rel_passage + passage.text})
elif element.tag == "patcit":
citation.update({"dnum":element.attrib["dnum"]})
citation.update({"url":element.attrib["url"]})
for subelement in element:
if subelement.tag == "document-id":
for child in subelement:
if child.tag == "country":
citation.update({"country":child.text})
elif child.tag == "doc-number":
citation.update({"doc-number":child.text})
elif child.tag == "kind":
citation.update({"kind":child.text})
elif child.tag == "name":
citation.update({"name":child.text})
elif child.tag == "date":
citation.update({"date":child.text})
elif element.tag == "nplcit":
citation.update({"nplcit": "true"})
#logge, falls wir kategorie ohne related claim haben
if last_category != "" and "rel-passage"+"_"+last_category.split(",")[0] not in citation.keys():
print("Kategorie ohne rel-passage, Citation ID/String: " + citation_id + " / " + citation_string)
return citation
def main(file):
f = open(file, "r", encoding="utf8", errors='ignore')
lines = f.readlines()
records = {}
citations = {}
for line in lines:
if "\ten\t" in line:
#print(line.split("\t")[5].split(" "))
application_identifier = line.split("EP\t")[1].split("\ten\t")[0].replace("\t","")
application_number = line.split("EP\t")[1].split("\t")[0]
application_category = line.split("EP\t")[1].split("\t")[1]
application_date = line.split("EP\t")[1].split("\t")[2]
if application_date == "":
print("Skipping entry, because of missing date: " + application_identifier)
continue
if application_identifier not in records:
records.update({application_identifier:{"application_number":application_number,"application_category":application_category, "application_date":application_date}})
record = records.get(application_identifier)
if "\tTITLE\t" in line:
record.update({"title":line.split("\tTITLE\t")[1]})
elif "\tABSTR\t" in line:
record.update({"abstract":line.split("\tABSTR\t")[1]})
elif "\tDESCR\t" in line:
record.update({"description":line.split("\tDESCR\t")[1]})
elif "\tCLAIM\t" in line:
record.update({"claims":line.split("\tCLAIM\t")[1]})
elif "\tAMEND\t" in line:
record.update({"amended_claims":line.split("\tAMEND\t")[1]})
elif "\tACSTM\t" in line:
record.update({"amended_claims_statements":line.split("\tACSTM\t")[1]})
elif "\tSRPRT\t" in line:
record.update({"citation_ipcr_classification":extract_classifications(line)})
record.update({"citation_ids":extract_citationIDs(application_identifier,line)})
for citation_id in record["citation_ids"]:
print("evaluate citation id: "+citation_id)
citations.update({citation_id:extract_citation_entry(citation_id, line.split("\tSRPRT\t")[1])})
elif "\tPDFEP\t" in line:
record.update({"publication_url":line.split("\tPDFEP\t")[1]})
records.update({application_identifier:record})
upload(records, INDEX_APPL, "patent_eu")
upload(citations, INDEX_CIT, "citation_eu")
def createIndexPatentApplications():
# Elasticsearch
settings = {
"settings": {
"number_of_shards": 1,
"number_of_replicas": 0
},
"mappings": {
"properties": {
"application_number": {
"type": "keyword"
},
"application_category": {
"type": "keyword"
},
"application_date": {
"type": "date"
},
"title": {
"type": "text"
},
"abstract": {
"type": "text"
},
"description": {
"type": "text"
},
"claims": {
"type": "text"
},
"amended_claims": {
"type": "text"
},
"amended_claims_statements": {
"type": "text"
},
"citation_ipcr_classification": {
"type": "keyword"
},
"citation_ids": {
"type": "keyword"
},
"publication_url": {
"type": "text"
}
}
}
}
es = Elasticsearch(hosts=['http://172.16.64.23:9200/'])
response = es.indices.create(index=INDEX_APPL, ignore=400, body=settings)
print(response)
def createIndexCitations():
# Elasticsearch
#https://www.epo.org/law-practice/legal-texts/html/guidelines/e/b_x_9_2.htm
settings = {
"settings": {
"number_of_shards": 1,
"number_of_replicas": 0,
"index.mapping.ignore_malformed": True
},
"mappings": {
"properties": {
"dnum": {
"type": "keyword"
},
"publication_url": {
"type": "text"
},
"country": {
"type": "keyword"
},
"kind":{
"type": "keyword"
},
"doc_number": {
"type": "keyword"
},
"name": {
"type": "text"
},
"date": {
"type": "date"
},
"category_X": {
"type": "integer"
}
,
"category_P": {
"type": "integer"
}
,
"category_A": {
"type": "integer"
}
,
"category_D": {
"type": "integer"
}
,
"category_Y": {
"type": "integer"
}
,
"category_L": {
"type": "integer"
}
,
"category_O": {
"type": "integer"
}
,
"category_T": {
"type": "integer"
}
,
"category_E": {
"type": "integer"
},
"rel-passage_X": {
"type": "text"
}
,
"rel-passage_P": {
"type": "text"
}
,
"rel-passage_A": {
"type": "text"
}
,
"rel-passage_D": {
"type": "text"
}
,
"rel-passage_Y": {
"type": "text"
}
,
"rel-passage_L": {
"type": "text"
}
,
"rel-passage_O": {
"type": "text"
}
,
"rel-passage_T": {
"type": "text"
}
,
"rel-passage_E": {
"type": "text"
}
,
"nplcit" : {
"type": "boolean"
}
}
}
}
es = Elasticsearch(hosts=['http://172.16.64.23:9200/'])
response = es.indices.create(index=INDEX_CIT, ignore=400, body=settings)
print(response)
def upload(records, index, type):
# Elasticsearch
client = connections.create_connection(hosts=['http://172.16.64.23:9200/'])
res = helpers.bulk(client, gendata(records, index, type),index=index, chunk_size=1000, request_timeout=200)
print(res)
if __name__ == '__main__':
createIndexPatentApplications()
createIndexCitations()
#"/san2/data/websci/usPatents/epo-gcp/EP0000000.txt","/san2/data/websci/usPatents/epo-gcp/EP0100000.txt","/san2/data/websci/usPatents/epo-gcp/EP0200000.txt","/san2/data/websci/usPatents/epo-gcp/EP0300000.txt","/san2/data/websci/usPatents/epo-gcp/EP0400000.txt","/san2/data/websci/usPatents/epo-gcp/EP0500000.txt","/san2/data/websci/usPatents/epo-gcp/EP0600000.txt","/san2/data/websci/usPatents/epo-gcp/EP0700000.txt","/san2/data/websci/usPatents/epo-gcp/EP0800000.txt","/san2/data/websci/usPatents/epo-gcp/EP0900000.txt","/san2/data/websci/usPatents/epo-gcp/EP1000000.txt", "/san2/data/websci/usPatents/epo-gcp/EP1100000.txt","/san2/data/websci/usPatents/epo-gcp/EP1200000.txt","/san2/data/websci/usPatents/epo-gcp/EP1300000.txt","/san2/data/websci/usPatents/epo-gcp/EP1400000.txt","/san2/data/websci/usPatents/epo-gcp/EP1500000.txt",
files = ["/san2/data/websci/usPatents/epo-gcp/EP3100000.txt","/san2/data/websci/usPatents/epo-gcp/EP3200000.txt","/san2/data/websci/usPatents/epo-gcp/EP3300000.txt","/san2/data/websci/usPatents/epo-gcp/EP3400000.txt"]
#files = ["/Users/nicolashoeck/Downloads/SampleData.txt"]
for file in files:
print("start file: "+file)
main(file)