ListeBrevetAug = []
Done = []
else:
ListeBrevetAug = []
if ficOk and GatherFamilly:
registered_client = epo_ops.RegisteredClient(key, secret)
# data = registered_client.family('publication', , 'biblio')
registered_client.accept_type = 'application/json'
DejaVu = []
for Brev in ListeBrevet:
if Brev is not None and Brev != '' and Brev not in Done:
temp = GetFamilly(registered_client, Brev, ResultContents)
if temp is not None:
for pat in temp:
pat = CleanPatent(pat)
if pat not in ListeBrevetAug and pat != '':
if pat['label'] in DejaVu:
temporar = [
patent for patent in temp
if patent['label'] == pat['label']
][0] #hum should be unique
temporar = UnNest(temporar)
for cle in temporar.keys():
temporar[cle] = UnNest(temporar[cle])
temporar = CleanPatent(Update(temporar, pat))
temporar = CleanPatent(temporar)
ListeBrevetAug.append(temporar)
#temp.append(temporar)
else:
pat = CleanPatent(pat)
ListeBrevetAug = []
Done = []
else:
ListeBrevetAug = []
if ficOk and GatherFamilly:
registered_client = epo_ops.RegisteredClient(key, secret)
# data = registered_client.family('publication', , 'biblio')
registered_client.accept_type = 'application/json'
DejaVu = []
for Brev in ListeBrevet:
if Brev is not None and Brev != '' and Brev not in Done:
temp = GetFamilly(registered_client, Brev, ResultContents)
if temp is not None:
for pat in temp:
pat = CleanPatent(pat)
if pat not in ListeBrevetAug and pat != '':
if pat['label'] in DejaVu:
temporar = [patent for patent in temp if patent['label'] == pat['label']][0] #hum should be unique
temporar=UnNest(temporar)
for cle in temporar.keys():
temporar[cle] = UnNest(temporar[cle])
temporar = CleanPatent(Update(temporar, pat))
temporar = CleanPatent(temporar)
ListeBrevetAug.append(temporar)
#temp.append(temporar)
else:
pat = CleanPatent(pat)
for cle in pat.keys():
pat[cle] = UnNest(pat[cle])
ListeBrevetAug.append(CleanPatent(pat))
def ExtractPatent(pat, ResultContents, BiblioPatents):
DejaLa = [bre['label'] for bre in BiblioPatents]
for cle in ['inventeur', 'applicant', 'date', 'dateDate', 'titre']:
if cle != 'date' and cle !='dateDate':
if pat[cle] == None:
pat[cle] = 'empty'
else:
if cle == 'date' and pat[cle] == None:
import datetime
pat[cle] = str(datetime.date.today().year) + '-' + str(datetime.date.today().month) + '-' + str(datetime.date.today().day)
elif cle == 'dateDate' and pat[cle] == None:
import datetime
pat[cle] = datetime.date.today().year
cles = [key for key in pat.keys() if pat[key]==None]
for cle in cles:
if cle=='date':
pat[cle] = unicode(datetime.date.today().year)
elif cle=="dateDate":
pat[cle] = datetime.date.today()
else:
bre[cle] = u'empty'
if None not in pat.values():
#if Brev['label'] == Brev["prior"]: # just using primary patents not all the family
if isinstance(pat['classification'], list):
for classif in pat['classification']:
tempo2 = ExtractClassificationSimple2(classif)
for cle in tempo2.keys():
if cle in pat.keys() and tempo2[cle] not in pat[cle]:
if pat[cle] == '':
pat[cle] = []
if isinstance(tempo2[cle], list):
pat[cle].extend(tempo2[cle])
else:
pat[cle].append(tempo2[cle])
else:
pat[cle] = []
if isinstance(tempo2[cle], list):
pat[cle].extend(tempo2[cle])
else:
pat[cle].append(tempo2[cle])
if pat[cle].count(',')>0:
print pat[cle] #hum, strage state
else:
tempo2 = ExtractClassificationSimple2(pat['classification'])
for cle in tempo2.keys():
if cle in pat.keys() and tempo2[cle] not in pat[cle]:
if pat[cle] == '':
pat[cle] = []
if isinstance(tempo2[cle], list):
pat[cle].extend(tempo2[cle])
else:
pat[cle].append(tempo2[cle])
else:
pat[cle] = []
if isinstance(tempo2[cle], list):
pat[cle].extend(tempo2[cle])
else:
pat[cle].append(tempo2[cle])
if pat[cle].count(',')>0:
print pat[cle] #hum, strage state
# print classif
pat = SeparateCountryField(pat)
for clekey in pat.keys():
if isinstance(pat[clekey], list):
pat[clekey] = UnNest(pat[clekey])
if isinstance(pat['IPCR1'], list):
CIB1 = '-'.join(dat for dat in pat['IPCR1'])
else:
CIB1 = pat['IPCR1']
if isinstance(pat['IPCR3'], list):
CIB3 = '-'.join(dat for dat in pat['IPCR3'])
else:
CIB3 = pat['IPCR3']
if isinstance(pat['IPCR4'], list):
CIB4 = '-'.join(dat for dat in pat['IPCR4'])
else:
CIB4 = pat['IPCR4']
IRAM = '**** *Label_' + ndb +' *Country_'+pat['pays']+ ' *CIB3_'+CIB3 + ' *CIB1_'+CIB1 + ' *CIB4_'+CIB4 + ' *Date_' + str(pat['dateDate'].year) + ' *Applicant_'+UniClean('-'.join(coupeEnMots(pat['applicant'])))[0:12]
IRAM = IRAM.replace('_ ', '_empty', IRAM.count('_ ')) +'\n'
TXT=dict()
if isinstance(patentBib[u'ops:world-patent-data'][u'exchange-documents'][u'exchange-document'], list):
for tempo in patentBib[u'ops:world-patent-data'][u'exchange-documents'][u'exchange-document']:
if tempo.has_key('abstract'):
txtTemp = ExtractAbstract(tempo['abstract'])
for cleLang in txtTemp:
if TXT.has_key(cleLang):
TXT[cleLang] += txtTemp[cleLang]
else:
TXT[cleLang] = txtTemp[cleLang]
else:
if patentBib[u'ops:world-patent-data'][u'exchange-documents'][u'exchange-document'].has_key('abstract'):
TXT = ExtractAbstract(patentBib[u'ops:world-patent-data'][u'exchange-documents'][u'exchange-document'][u'abstract'])
for lang in TXT.keys():
EcritContenu(IRAM + TXT[lang], ResultAbstractPath+'//'+lang+'-'+ndb+'.txt')
if pat['label'] in DejaLa: #checking multiples status
tempor = [patent for patent in BiblioPatents if patent['label'] == pat["label"]][0] #should be unique
BiblioPatents.remove(tempor)
tempor = Update(tempor, pat)
for key in tempor.keys():
if isinstance(tempor[key], list):
tempor[key] = UnNest(tempor[key])
tempor = CleanPatent(tempor)
BiblioPatents.append(CleanPatent(tempor))
else:
for key in pat.keys():
if isinstance(pat[key], list):
pat[key] = UnNest(pat[key])
pat = CleanPatent(pat)
BiblioPatents.append(CleanPatent(pat))
DejaLa.append(pat['label'])
return pat, YetGathered, BiblioPatents
else:#None values avoiding this patent
if pat.has_key('label'):
DejaLa.append(pat['label'])
return None, DejaLa, BiblioPatents
if 'abstracts' not in os.listdir(RepDir):
os.makedirs(RepDir+"//Abstracts")
except:
pass
#os.chdir(ndf.replace('.dump', ''))
desc, clm, ft, abstract = 0,0,0, 0
Langues = set()
if GatherContent:
for brevet in lstBrevet:
#tempo =('publication', Docdb(,, ))
#if brevet['label'] == 'FR2997041':
# tempo =('publication', Docdb(brevet[u'publication-ref'][u'document-id'][0][u'doc-number']['$'],brevet['publication-ref'][u'document-id'][0][u'country']['$'], brevet['publication-ref'][u'document-id'][0][u'kind']['$']))
# tempo2 =('publication', Epodoc(brevet['publication-ref'][u'document-id'][0][u'country']['$']+brevet[u'publication-ref'][u'document-id'][0][u'doc-number']['$']))#, brevet[u'document-id'][u'kind']['$']))
#tempoDocDb =
brevet = CleanPatent(brevet)
brevet = CleanPatent(brevet)
ndb =brevet[u'label']#[u'document-id'][u'country']['$']+brevet[u'document-id'][u'doc-number']['$']brevet['publication-ref'][u'document-id'][0][u'kind']['$'])
#check for already gathered patents
lstfic = os.listdir(ResultPathContent+'//Abstracts/')
fichier = [fics[3:] for fics in lstfic]
if ndb+'.txt' not in fichier:
for content in [u'abstract']:#claims', u'description']: #, u'fulltext'
try :
tmp = Epodoc(ndb)
tempo = ('publication', tmp)
data = registered_client.published_data(*tempo, endpoint = content) #registered_client.published_data()
if 'abstract' not in str(data.json()):
tmp = Docdb(ndb[2:], ndb[0:2],brevet['status'])
comptBad += 1
print comptBad, " identified problems."
if comptBad == 0:
print "This is good!"
#we filter data for exporting most significant values
LstExp = []
LstExp2 = []
for brev in LstBrevet:
if brev['label'] == 'WO2007000665':
print
#cleaningbre[c]
for cle in brev.keys():
brev[cle] = UnNest(brev[cle])
brev = CleanPatent(brev)
brev = CleanPatentOthers2(brev)
##
tempo = brev # this one for DataTable
tempo2 = dict() #the one for pitable
PaysInv = [] #new field
PaysApp = []
#tempo = CleanPatent(tempo)
tempo2 = copy.deepcopy(tempo) #ugly
tempo3 = dict() #what the problem
LstExp.append(tempo)
for ket in brev.keys():
tempo3[ket] = tempo[ket]
if isinstance(tempo2[ket], list):
comptBad +=1
print comptBad, " identified problems."
if comptBad == 0:
print "This is good!"
#we filter data for exporting most significant values
LstExp = []
LstExp2 = []
for brev in LstBrevet:
if brev['label'] == 'WO2007000665':
print
#cleaningbre[c]
for cle in brev.keys():
brev[cle] = UnNest(brev[cle])
brev= CleanPatent(brev)
brev= CleanPatentOthers2(brev)
##
tempo = brev # this one for DataTable
tempo2 = dict() #the one for pitable
PaysInv= [] #new field
PaysApp = []
#tempo = CleanPatent(tempo)
tempo2 = copy.deepcopy(tempo) #ugly
tempo3 = dict() #what the problem
LstExp.append(tempo)
for ket in brev.keys():
tempo3[ket] = tempo[ket]
if isinstance(tempo2[ket], list):
with open(ListPatentPath+'//'+ndf, 'r') as data:
DataBrevet = pickle.load(data)
if isinstance(LstBrevet, dict):
data = LstBrevet
LstBrevet = data['brevets']
if data.has_key('requete'):
DataBrevet['requete'] = data["requete"]
if data.has_key('number'):
print "Found ", data["number"], " patents! Formating to HMTL tables"
LstExp = []
LstExp2 = []
for brev in LstBrevet:
brev = CleanPatent(brev)
tempo = dict() # this one for DataTable
tempo2 = dict() #the one for pitable
PaysInv= [] #new field
PaysApp = []
# tempo = CleanPatent(brev)
# brevet= SeparateCountryField(tempo)
#cleaning classification
cles = [key for key in brev.keys() if brev[key]==None or brev[key] == [u'None', None] or brev[key] == [None]]
for cle in cles:
if cle=='date':
brev[cle] = unicode(datetime.date.today().year)
elif cle=="dateDate":
brev[cle] = datetime.date.today()
