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py_crunchCSVData.py
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py_crunchCSVData.py
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#!/usr/bin/python
# -*- coding: UTF-8
#
# Take cleaned csv files to data stage by adding the relevant connections
# in the photo and objDaten file and trimming the files down to only
# what is needed
#
# @ToDo: Stick CSV_FILES in start of file (or somewhere equally easy)
# @ToDo: after redux, store processed output as .json instead
#
import codecs
import os
import helpers
from helpers import MyError
from helpers import output
CSV_DIR_CLEAN = u'clean_csv'
CSV_DIR_CRUNCH = u'data'
def run(in_path=None, out_path=None):
"""
main process for crunching all of the files
:param in_path: path to directory containing clean csv files
:param out_path: path to direcotry in whihc to store output
"""
# set defaults unless overridden
in_path = in_path or CSV_DIR_CLEAN
out_path = out_path or CSV_DIR_CRUNCH
# convert to unicode if not the case
if type(in_path) == str:
in_path = unicode(in_path)
if type(out_path) == str:
out_path = unicode(out_path)
# create target paths if they doen't exist
if not os.path.isdir(out_path):
os.mkdir(out_path)
log_path = os.path.join(out_path, u'logs')
if not os.path.isdir(log_path):
os.mkdir(log_path)
# start crunching
# combine photo and multi
photoFile = os.path.join(in_path, u'photo.csv')
multiFile = os.path.join(in_path, u'multimedia.csv')
logFile = os.path.join(log_path, u'photo_multimedia.log')
tmpFile = os.path.join(out_path, u'tmp.csv')
photo_multi = makePhoto_multi(photoFile, multiFile, logFile, tmpFile)
# load photoAll and drop any entries without a commons connection
photoAllFile = os.path.join(in_path, u'photoAll.csv')
logFile = os.path.join(log_path, u'photoAll.log')
photoAll = makePhotoAll(photoAllFile, photo_multi, logFile)
# combine photo and Photo-ObjDaten (and photoAll)
# populates the objId field in photo_multi with ALL of the RELEVANT
# ObjIds and
# removes unused Objects from objDaten to make it smaller
photoObjDatenFile = os.path.join(in_path, u'photoObjDaten.csv')
objDatenFile = os.path.join(in_path, u'objDaten.csv')
logFile = os.path.join(log_path, u'photo_objDaten.log')
objDaten = photo_ObjDaten(photo_multi, photoAll, photoObjDatenFile,
objDatenFile, logFile)
# Adds the stichwort id field to photo and
# removes unused entries from stichworth to make it smaller
stichFile = os.path.join(in_path, u'stichwort.csv')
stichwort = stichworth_photo(stichFile, photo_multi)
# Add two fields to photo_multi:
# * same photoId-different file
# * same objId-different photoID
samesame(photo_multi, photoAll)
# Adds the Ausstellung_id field to ObjDaten and
# trims Ausstellung to unique ids
ausstellungFile = os.path.join(in_path, u'ausstellung.csv')
ausstellung = ausstellung_objDaten(ausstellungFile, objDaten)
# Adds ObjDaten-samhörande field to ObjDaten
objDatenSamFile = os.path.join(in_path, u'objDatenSam.csv')
objDaten_sam(objDatenSamFile, objDaten)
# Adds the Eregnis field to ObjDaten and
# trims Eregnis to unique ids
ereignisFile = os.path.join(in_path, u'ereignis.csv')
logFile = os.path.join(log_path, u'ereignis.log')
ereignis = ereignis_objDaten(ereignisFile, objDaten, logFile)
# Adds the kuenstler field to ObjDaten and
# trims kuenstler
kuenstlerFile = os.path.join(in_path, u'kuenstler.csv')
logFile = os.path.join(log_path, u'kuenstler.log')
kuenstler = kuenstler_objDaten(kuenstlerFile, objDaten, logFile)
# Adds objMul and objMass fields to ObjDaten
# then trimms objMul and objMass
objMassFile = os.path.join(in_path, u'objMass.csv')
objMultipleFile = os.path.join(in_path, u'objMultiple.csv')
objMass, objMultiple = mulMass_add(objMassFile, objMultipleFile, objDaten)
# output all the above
# @toDO: simplify names (once downstream is checked)
out_csv = {
u'photo_multimedia_etc': photo_multi,
u'stichwort_trim': stichwort,
u'objMass_trim': objMass,
u'objMultiple_trim': objMultiple,
u'objDaten_etc': objDaten,
u'ausstellung_trim': ausstellung,
u'ereignis_trim': ereignis,
u'kuenstler_trim': kuenstler,
u'photoAll': photoAll
}
# @toDO: Not needed once downstream reads json
out_headers = {
u'photo_multimedia_etc':
'PhoId|MulId|PhoObjId|PhoBeschreibungM|PhoAufnahmeortS|PhoSwdS|'
'AdrVorNameS|AdrNameS|PhoSystematikS|MulPfadS|MulDateiS|'
'MulExtentS|PstId|same_PhoId|same_object',
u'stichwort_trim':
'PstId|PhoId|StiBezeichnungS|StiSynonymS',
u'objMass_trim':
'ObmId|ObmObjId|ObmTypMasseS|ObmMasseS|ObjAufId|AufAufgabeS',
u'objMultiple_trim':
'OmuId|OmuObjId|OmuTypS|OmuBemerkungM|OmuInhalt01M|ObjInventarNrS|'
'ObjAufId|AufAufgabeS',
u'objDaten_etc':
'ObjId|ObjKueId|AufId|AufAufgabeS|ObjTitelOriginalS|'
'ObjTitelWeitereM|ObjInventarNrS|ObjInventarNrSortiertS|'
'ObjReferenzNrS|ObjDatierungS|ObjJahrVonL|ObjJahrBisL|'
'ObjSystematikS|ObjFeld01M|ObjFeld02M|ObjFeld03M|ObjFeld06M|'
'ObjReserve01M|ausId|related|ergId|role:roleCmt:kueId|mulId|'
'massId',
u'ausstellung_trim':
'AusId|AusTitelS|AusOrtS|std_year|AusJahrS|AusDatumVonD|'
'AusDatumBisD|AufAufgabeS|AobObjId',
u'ereignis_trim':
'ErgId|ErgKurztitelS|ErgArtS|EroObjId',
u'kuenstler_trim':
'KueId|KueVorNameS|KueNameS|KudDatierungS|KudJahrVonL|KudJahrBisL|'
'KudOrtS|KudLandS|KueFunktionS|ObjId',
u'photoAll':
'PhoId|PhoObjId|PhoBeschreibungM|PhoAufnahmeortS|PhoSwdS|'
'MulId|AdrVorNameS|AdrNameS|PhoSystematikS'
}
for k, v in out_csv.iteritems():
outFile = os.path.join(out_path, u'%s.csv' % k)
helpers.dictToCsvFile(outFile, v, out_headers[k])
output(u'\tOutputted %s' % outFile)
output(u'Done!')
def makePhoto_multi(photoFile, multiFile, logFile, tmpFile):
"""
Given the photo and multimedia data this combines the two into one dict
:param photoFile: path to photo data file
:param multiFile: path to multimedia data file
:param logFile: path to logfile
:param tmpFile: path to temporary file
:return: dict
"""
# setup
flog = codecs.open(logFile, 'w', 'utf-8') # logfile
output(u"Combining photo and multimedia file for unique files...")
pathToTrim = u'R:\web\hires\\'
tmpHeader = 'PhoId|MulId|PhoObjId|PhoBeschreibungM|PhoAufnahmeortS|' \
'PhoSwdS|AdrVorNameS|AdrNameS|PhoSystematikS|MulPfadS|' \
'MulDateiS|MulExtentS'
# handle multimedia
multiHeader = 'MulId|MulPhoId|MulPfadS|MulDateiS|MulExtentS'
multi = helpers.csvFileToDict(multiFile, 'MulId', multiHeader)
# check that filename is unique
flog.write('* Same files used by different PhoId, format is PhoId/MulId\n')
logged = False
namelist = []
mulPhoIdList = []
for k, v in multi.iteritems():
name = u'%s\\%s.%s' % (v['MulPfadS'], v['MulDateiS'], v['MulExtentS'])
if name in namelist:
logged = True
flog.write('%s/%s\n' % (v['MulPhoId'], v['MullId']))
else:
mulPhoIdList.append(v['MulPhoId'])
namelist.append(name)
output(u'\tmultimedia: %d' % len(multi))
if not logged:
flog.write(u'None =)\n')
# handle photo
# @toDO add duplicate check to cleanup script
photoHeader = 'PhoId|PhoObjId|PhoBeschreibungM|PhoAufnahmeortS|PhoSwdS|' \
'MulId|AdrVorNameS|AdrNameS|PhoSystematikS'
photo = helpers.csvFileToDict(photoFile, 'PhoId', photoHeader)
output(u'\tphoto: %d' % len(photo))
# combine
combined = {}
flog.write(u'* unused rows in multimedia\n')
logged = False
for k, v in multi.iteritems():
phoId = v['MulPhoId']
mulId = v['MulId']
v['MulPfadS'] = v['MulPfadS'].replace(pathToTrim, u'') # trim filepath
v['MulExtentS'] = u'' # MulExtentS is always wrong
if phoId not in photo.keys():
logged = True
flog.write(u'%s\n' % v)
elif not photo[phoId]['MulId'] == v['MulId']:
raise MyError("phoId matched but to wrong mulId: p:%s m_found:%s, "
"m_expected %s" % (phoId, photo[phoId]['MulId'],
mulId))
else:
del v['MulPhoId'], v['MulId']
combo = photo.pop(phoId) # move out of photo
combo.update(v) # add contents from multi
combined[phoId] = combo
if not logged:
flog.write(u'None =)\n')
# log any unused rows in photo
flog.write(u'* unused rows in photo\n')
logged = False
for k, v in photo.iteritems():
logged = True
flog.write(u'%s\n' % v)
if not logged:
flog.write(u'None =)\n')
flog.close()
output(u"...done")
# check if anything needs to be manually handled
output(u"Read the log (%s)" % logFile)
combined = helpers.promptManualUpdate(combined, tmpFile,
tmpHeader, 'PhoId')
return combined
def makePhotoAll(photoAllFile, photo_multi, logFile):
"""
@toDO: if dupes are found then prompt manual cleanup then re-run
makePhotoAll(), That way crash isn't complete.
Given the photoAll data file read it and drop any entries without a
commons connection. Also Simplify the data
:param photoAllFile: path to photoAll data file
:param photo_multi: photo_multi dict
:param logFile: path to logfile
:return: dict
"""
# often requires manual fixing prior to crunch
helpers.verboseInput(u"Confirm that any issues mentioned in the photoAll "
u"analysis log have been corrected and the updated "
u"photoAll file saved...\n"
u"...by pressing enter when done")
# setup
flog = codecs.open(logFile, 'w', 'utf-8') # logfile
output(u"Loading photoAll...")
photoAllHeader = 'PhoId|PhoObjId|PhoBeschreibungM|PhoAufnahmeortS|PhoSwdS|' \
'MulId|AdrVorNameS|AdrNameS|PhoSystematikS'
photoAll = helpers.csvFileToDict(photoAllFile, ('PhoId', 'MulId'),
photoAllHeader)
originalSize = len(photoAll)
for k, v in photoAll.items():
link = v['PhoSystematikS']
# drop any entries without files
if not link:
del photoAll[k]
continue
# simplify link
if '%' in link:
link = helpers.urldecode_utf8(link)
link = helpers.external_2_internal_link(link, project='wikimedia')
link = link[len('[[:commons:File:'):-len(']]')]
v['PhoSystematikS'] = link
output('PhotoAll reduced from %d to %d entries' % (originalSize,
len(photoAll)))
# check that none of PhoId from photo_multi occur in photo
dupes = []
for phoId in photo_multi.keys():
phoMul = u'%s:%s' % (phoId, photo_multi[phoId]['MulId'])
if phoMul in photoAll.keys():
dupes.append(phoMul)
if dupes:
output(u'Found duplicates between photoAll and photo_multi. '
u'This will most likely mess things up. Check the log at '
u'%s for details.' % logFile)
flog.write(u'* duplicates found in photo and photo_all\n'
u'phoId:MulId|commonsFile\n')
for d in dupes:
flog.write('%s|%s\n' % (d, photoAll[d]['PhoSystematikS']))
flog.close()
return photoAll
def photo_ObjDaten(photo_multi, photoAll, photoObjDatenFile,
objDatenFile, logFile):
"""
Given the photo_multi data and the phoObjDaten + objDaten data files
any additional relevant ObjIds are added to the PhoObjId field of the
photo_multi dict, this field is also converted to a list.
Also returns objDaten for later use
:param photo_multi: photo_multi dict
:param photoAll: photoAll dict
:param photoObjDatenFile: path to phoObjDaten data file
:param objDatenFile: path to objDaten data file
:param logFile: path to logfile
:return: dict (and updates photo_multi)
"""
# setup
flog = codecs.open(logFile, 'w', 'utf-8') # logfile
output(u"Combining all ObjId into the photo file...")
# handle objDaten
output(u'\treading in objDaten.. (takes a while)')
objDatenHeader = 'ObjId|ObjKueId|AufId|AufAufgabeS|ObjTitelOriginalS|' \
'ObjTitelWeitereM|ObjInventarNrS|ObjInventarNrSortiertS|' \
'ObjReferenzNrS|ObjDatierungS|ObjJahrVonL|ObjJahrBisL|' \
'ObjSystematikS|ObjFeld01M|ObjFeld02M|ObjFeld03M|' \
'ObjFeld06M|ObjReserve01M'
objDaten = helpers.csvFileToDict(objDatenFile, 'ObjId', objDatenHeader)
# match each objInvNr to several objId
objInvNr2ObjId = {} # old oDict
output(u'\tfinding objInvNr connections...')
for k, v in objDaten.iteritems():
objId = v['ObjId']
objInvNr = v['ObjInventarNrS']
if not objInvNr:
continue
if objInvNr not in objInvNr2ObjId.keys():
objInvNr2ObjId[objInvNr] = []
objInvNr2ObjId[objInvNr].append(objId)
output('\tFound %d objInvNr connections in %d objects' %
(len(objInvNr2ObjId), len(objDaten)))
# handle photoObjDaten
photoObjDatenHeader = 'PhmId|AufId|AufAufgabeS|MulId|PhoId|ObjInvNrS'
photoObjDaten = helpers.csvFileToDict(photoObjDatenFile,
'PhmId',
photoObjDatenHeader,
keep=('PhoId', 'ObjInvNrS'))
# match each phoId to several objId via the ObjInvNr
output(u'\tfinding photo-object connections...')
photoObjConnections = {}
skipped = [] # ObjInvNr not in ObjDaten
for k, v in photoObjDaten.iteritems():
objInvNr = v['ObjInvNrS']
phoId = v['PhoId']
if not objInvNr:
continue
if objInvNr not in objInvNr2ObjId.keys():
skipped.append(objInvNr)
continue
if phoId not in photoObjConnections.keys():
photoObjConnections[phoId] = []
photoObjConnections[phoId] += objInvNr2ObjId[objInvNr]
output('\tFound %d connected photos in %d photoObjDaten entries' %
(len(photoObjConnections), len(photoObjDaten)))
# add to photo_multi and photoAll
photoDicts = (photo_multi, photoAll)
allBadObjId = []
for pDict in photoDicts:
for k, v in pDict.iteritems():
phoId = v['PhoId']
objIds = []
if phoId not in photoObjConnections.keys():
if v['PhoObjId']:
objIds.append(v['PhoObjId'])
else:
# combine relevant objIds
objIds = photoObjConnections.pop(phoId) # new connections
if v['PhoObjId']:
objIds.append(v['PhoObjId']) # old connection
objIds = list(set(objIds)) # remove dupes
# check that all of these actually exists (old realObjOnly())
# and remove otherwise
badObjId = []
for objId in objIds:
if objId not in objDaten.keys():
badObjId.append(objId)
if badObjId:
allBadObjId += badObjId
for badId in badObjId:
objIds.remove(badId)
# set new value
v['PhoObjId'] = objIds
# log any skipped ObjInvNr
if skipped:
skipped = list(set(skipped)) # remove dupes
output(u"\tthere were %d skipped ObjInvNr, see log (%s)" %
(len(skipped), logFile))
flog.write(u'*Unknown objInvs, i.e. ObjInvNrS in photoObjDaten '
u'without a match in ObjDaten\n')
flog.write(u'%s\n' % ', '.join(skipped))
# log any bad objId
if allBadObjId:
output('\tI found some bad objIds. Check the %s' % logFile)
allBadObjId = list(set(allBadObjId)) # remove dupes
flog.write(u'* objIds in photo but not in objDaten\n')
flog.write(u'%s\n' % ', '.join(allBadObjId))
# trim objDaten
trimObjDaten(objDaten, photo_multi, photoAll)
# confirm and return
output(u"...done")
flog.close()
return objDaten
def trimObjDaten(objDaten, photo_multi, photoAll):
"""
Removes any unused objects in objDaten, because it is huge!
:param objDaten: objDaten dict
:param photo_multi: photo_multi dict
:param photoAll: photoAll dict
:return: None
"""
output(u"\tTrimming objDaten...")
originalSize = len(objDaten)
# collect all objIds not mentioned in photo_multi or photoAll
unusedObjIds = set(objDaten.keys())
for k, v in photo_multi.iteritems():
unusedObjIds = unusedObjIds - set(v['PhoObjId'])
for k, v in photoAll.iteritems():
unusedObjIds = unusedObjIds - set(v['PhoObjId'])
# remove any which should be trimmed
for objId in unusedObjIds:
del objDaten[objId]
output('\tobjDaten reduced from: %d to %d' % (originalSize, len(objDaten)))
def stichworth_photo(stichwortFile, photo_multi):
"""
Given the photo-multi data and the stichwort data file add a stichwort id
field to photo-multi.
Also returns the stichwort data after trimming away any unused info
:param stichwortFile: path to stichwort data file
:param photo_multi: photo_multi dict
:return: dict (and updates photo_multi)
"""
# setup
output(u"Adding stichworth to photo")
# handle stichwort
output(u'\treading in stichwort...')
stichwortHeader = 'PstId|PhoId|StiBezeichnungS|StiSynonymS'
stichwort = helpers.csvFileToDict(stichwortFile, 'PstId', stichwortHeader)
originalSize = len(stichwort)
# match each phoId to several stichId
# removing any entries with invalid phoIds
photoStichConnection = {}
for k, v in stichwort.items():
phoId = v['PhoId']
pstId = v['PstId']
if phoId in photo_multi.keys():
if phoId not in photoStichConnection.keys():
photoStichConnection[phoId] = set([])
photoStichConnection[phoId].add(pstId)
else:
del stichwort[k]
output('\tstichwort trimmed from %d to %d, found %d phoId' %
(originalSize, len(stichwort), len(photoStichConnection)))
# add stichId to photo_multi
for k, v in photo_multi.iteritems():
phoId = v['PhoId']
v['PstId'] = []
if phoId in photoStichConnection.keys():
v['PstId'] = list(photoStichConnection.pop(phoId))
# confirm and return
output(u"...done")
return stichwort
def samesame(photo_multi, photoAll):
"""
@toDo (after redux)
* samePhoId no longer needed (but need to make sure it is not
expected later since removing changes order)
* base on photo_all + photo_multi to get connections to old
Adds two fields to the photo_multi dict
* same_PhoId: same phoId different file
* same_object: same objId different phoId
:param photo_multi: photo_multi dict
:param photoAll: photoAll dict
:return: None (but updates photo_multi)
"""
output(u"Samesame()")
# load all objId connections from photo_multi
objIdConnection = {}
output(u'\tloading objects from photo_multi...')
for k, v in photo_multi.iteritems():
phoId = v['PhoId']
mullId = v['MulId']
phoMullId = '%s:%s' % (phoId, mullId)
objIds = v['PhoObjId']
for objId in objIds:
if objId not in objIdConnection.keys():
objIdConnection[objId] = []
objIdConnection[objId].append((phoId, phoMullId))
# load only objId connections from photoAll where object in photo_multi
output(u'\tloading objects from photoAll...')
for k, v in photoAll.iteritems():
phoId = v['PhoId']
mullId = v['MulId']
phoMullId = '%s:%s' % (phoId, mullId)
objIds = v['PhoObjId']
for objId in objIds:
if objId in objIdConnection.keys():
objIdConnection[objId].append((phoId, phoMullId))
# remove any with only one associated phoId
for k, v in objIdConnection.items():
if len(v) < 2:
del objIdConnection[k]
output(u'\tfound %d objects in multiple photos' % len(objIdConnection))
# invert objIdConnection to get per phoId connection
output('\tinverting objIdConnection...')
phoIdConnection = {}
for objId, v in objIdConnection.iteritems():
allPhoMull = [entry[1] for entry in v]
for phoId, phoMullId in v:
if phoId not in phoIdConnection.keys():
phoIdConnection[phoId] = []
phoIdConnection[phoId] += allPhoMull
output('\tadding samesame to photo...')
for k, v in photo_multi.iteritems():
v['same_PhoId'] = '' # @toDo remove once safe
v['same_object'] = []
phoId = v['PhoId']
mullId = v['MulId']
phoMullId = '%s:%s' % (phoId, mullId)
if phoId in phoIdConnection.keys():
ll = list(set(phoIdConnection[phoId])) # clone and remove dupes
ll.remove(phoMullId) # remove self
v['same_object'] = ll
output(u"...done")
def ausstellung_objDaten(austellungFile, objDaten):
"""
Given the austellung data file and the objDaten data add a austellung id
field to objDaten.
Also returns the austellung data after
* adding a std_year field
* combining all objIds for the same ausId
* dropping AobId
:param austellungFile: path to austellung data file
:param objDaten: objDaten dict
:return: dict (and updates objDaten)
"""
# often requires manual fixing prior to crunch
helpers.verboseInput(u"Confirm that any year formatting issues mentioned "
u"in the analysis log have been corrected and the "
u"updated ausstellung file saved...\n"
u"...by pressing enter when done")
# setup
dummyTitles = (
u'reparation', u'utställning', u'lån för undersökning',
u'OBS! Testpost för admin - utställning, export wikimedia commons',
u'lån till Frankrike 1947', u'test karin 20100520',
u'test 20100629 (en post skapad för administrativa tester)',
u'tennföremål 8 st till Strömsholm', u'utlån f justering av urverk')
output(u"Trimming ausstellung and adding ausstellung to ObjDaten...")
# handle ausstellung
austellungHeader = 'AobId|AusId|AusTitelS|AusOrtS|AusJahrS|AusDatumVonD|' \
'AusDatumBisD|AobObjId|AufAufgabeS'
austellung = helpers.csvFileToDict(austellungFile, 'AobId',
austellungHeader)
originalSize = len(austellung)
# collect all ausId and drop any with invalid title
# @toDO: Is keeping objId in austellung really needed?
# Otherwise populate objIdConnection here
foundAusId = {}
for k, v in austellung.items(): # allow removing entries from within loop
ausId = v['AusId']
objId = v['AobObjId']
title = v['AusTitelS']
if not title or title in dummyTitles: # remove empty/dummy
del austellung[k]
elif ausId not in foundAusId: # keep this entry
foundAusId[ausId] = k
austellung[k]['AobObjId'] = set([objId, ])
austellung[k].pop('AobId') # drop unnecessary id
else: # keep only objId part of this entry
austellung[foundAusId[ausId]]['AobObjId'].add(objId)
del austellung[k]
output('\taustellung reduced from %d to %d entries' %
(originalSize, len(austellung)))
# populate std_year
output('\tstandardising years...')
for k, v in austellung.iteritems():
year = v['AusJahrS']
yfrom = v['AusDatumVonD'].replace(u' 00:00:00', u'').strip()
ytil = v['AusDatumBisD'].replace(u' 00:00:00', u'').strip()
v['std_year'] = stdAustellungYear(year, yfrom, ytil)
# to match with pre-redux results. Could possibly be dropped instead?
v['AusDatumVonD'] = yfrom
v['AusDatumBisD'] = ytil
# invert to get per objId connections
# and convert set to list
objIdConnection = {}
for k, v in austellung.iteritems():
ausId = v['AusId']
objIds = v['AobObjId']
v['AobObjId'] = list(objIds)
for objId in objIds:
if objId not in objIdConnection.keys():
objIdConnection[objId] = []
objIdConnection[objId].append(ausId)
output('\tadding ausId to objDaten...')
for k, v in objDaten.iteritems():
objId = v['ObjId']
v['ausId'] = []
if objId in objIdConnection.keys():
v['ausId'] = objIdConnection.pop(objId)
output(u"...done")
return austellung
def stdAustellungYear(year, yfrom, ytil):
"""
Given the three year fields in austellung this returns a standardised
year in either YYYY or YYYY-YYYY format.
Assumes all errors part from y1 and y7 (in py-Ausstellung) have been fixed
@toDO: redo, but in collaboration with better analysis
:param year: AusJahrS value
:param yfrom: AusDatumVonD value
:param ytil: AusDatumBisD value
:return: str
"""
# quick sanity check on year
if year.strip('0123456789 -'):
return year
#
lenYear = len(year)
lenYfrom = len(yfrom)
lenYtil = len(ytil)
if lenYear == 9: # YYYY-YYYY
return '%d-%d' % (int(year[:4]), int(year[5:]))
elif lenYear == 7: # YYYY-YY
return '%d-%d%d' % (int(year[:4]), int(year[:2]), int(year[5:]))
elif lenYear == 4: # YYYY
if lenYfrom != 0 and int(yfrom[:4]) != int(year):
# yfrom takes precedence over year
year = int(yfrom[:4])
if lenYtil != 0 and int(ytil[:4]) != int(year):
return '%d-%d' % (int(year), int(ytil[:4]))
else:
return '%d' % int(year)
elif lenYear == 0:
if lenYfrom != 0 and lenYtil != 0:
if int(yfrom[:4]) == int(ytil[:4]):
return '%d' % int(yfrom[:4])
else:
return '%d-%d' % (int(yfrom[:4]), int(ytil[:4]))
elif lenYfrom != 0:
return '%d' % int(yfrom[:4])
else:
return ''
else: # weird year
return year
def objDaten_sam(objDatenSamFile, objDaten):
"""
Adds objDatenSam field to ObjDaten
* adding a std_year field
* combining all objIds for the same ausId
* dropping AobId
:param objDatenSamFile: path to ObjDaten-samhörande data file
:param objDaten: objDaten dict
:return: None (but updates objDaten)
"""
# setup
output(u"Adding ObjDaten-samhörande to ObjDaten")
# handle objDatenSam
output('\treading ObjDaten_-_samhörande_nr into dictionary... (slow)')
objDatenSamHeader = 'OobId|OobObj1ID|OobObj2ID'
objDatenSam = helpers.csvFileToDict(objDatenSamFile, 'OobId',
objDatenSamHeader)
# map object connections
output('\tmapping object connections...')
objIdConnection = {}
for k, v in objDatenSam.iteritems():
objId1 = v['OobObj1ID']
objId2 = v['OobObj2ID']
if objId1 not in objIdConnection.keys():
objIdConnection[objId1] = []
if objId2 not in objIdConnection.keys():
objIdConnection[objId2] = []
objIdConnection[objId1].append(objId2)
objIdConnection[objId2].append(objId1)
output('\tfound %d connected objIds in %d entries' %
(len(objIdConnection), len(objDatenSam)))
# clean up connections
output('\tremoving dupes, invalids and self...')
for objId, connectedIds in objIdConnection.items():
connectedIds = list(set(connectedIds)) # remove dupe
if objId in connectedIds:
connectedIds.remove(objId) # remove self
for conId in connectedIds[:]: # slice allows changes from within loop
if conId not in objDaten.keys():
connectedIds.remove(conId) # remove invalid
# delete or update
if not connectedIds:
del objIdConnection[objId]
else:
objIdConnection[objId] = connectedIds
# add to objDaten
output('\tadding connections to objDaten...')
for k, v in objDaten.iteritems():
objId = v['ObjId']
v['related'] = []
if objId in objIdConnection.keys():
v['related'] = objIdConnection.pop(objId)
output(u"...done")
def ereignis_objDaten(ereignisFile, objDaten, logFile):
"""
Given the ereignis data file and the objDaten data add a ereignis id
field to objDaten.
Also returns the ereignis data after
* combining all objIds for the same ergId
* dropping EroId
:param ereignisFile: path to eregnis data file
:param objDaten: objDaten dict
:param logFile: path to logfile
:return: dict (and updates objDaten)
"""
# setup
flog = codecs.open(logFile, 'w', 'utf-8') # logfile
output(u"Trimming eregnis and adding eregnis to ObjDaten...")
# handle eregnis
ereignisHeader = 'EroId|ErgId|EroObjId|ErgKurztitelS|ErgArtS'
ereignis = helpers.csvFileToDict(ereignisFile, 'EroId', ereignisHeader)
originalSize = len(ereignis)
# collect all ergId and drop any with invalid title
# @toDO: Is keeping objId in eregnis really needed?
# Otherwise populate objIdConnection here
foundErgId = {}
for k, v in ereignis.items(): # allow removing entries from within loop
ergId = v['ErgId']
objId = v['EroObjId']
title = v['ErgKurztitelS']
if not title: # remove empty
del ereignis[k]
elif ergId not in foundErgId.keys(): # keep this entry
foundErgId[ergId] = k
ereignis[k]['EroObjId'] = set([objId, ])
ereignis[k].pop('EroId') # drop unnecessary id
else: # keep only objId part of this entry
ereignis[foundErgId[ergId]]['EroObjId'].add(objId)
del ereignis[k]
output('\tergIds: reduced from %d to %d' % (originalSize, len(ereignis)))
# handle urls in ereignis and convert set to list
for k, v in ereignis.iteritems():
objIds = v['EroObjId']
url = v['ErgArtS']
# convert set to list
v['EroObjId'] = list(objIds)
# handle urls
if u'%' in url:
url = helpers.urldecode_utf8(url)
# convert external links to internal
if 'wikipedia' in url:
url = helpers.external_2_internal_link(url)
elif url:
flog.write(u'weird url: %s\n' % url)
v['ErgArtS'] = url
# invert to get per objId connections
objIdConnection = {}
for k, v in ereignis.iteritems():
ergId = v['ErgId']
objIds = v['EroObjId']
for objId in objIds:
if objId not in objIdConnection.keys():
objIdConnection[objId] = []
objIdConnection[objId].append(ergId)
# add to objDaten
output('\tadding ergId to objDaten...')
for k, v in objDaten.iteritems():
objId = v['ObjId']
v['ergId'] = []
if objId in objIdConnection.keys():
v['ergId'] = objIdConnection.pop(objId)
flog.close()
output(u"...done")
return ereignis
def kuenstler_objDaten(kuenstlerFile, objDaten, logFile):
"""
Given the kuenstler data file and the objDaten data add a kuenstler id
field to objDaten.
Also returns the kuenstler data after
* removing certain irrelevant roles and dummy entries
* combining all objIds for the same kueId
* standardising years
* dropping a lot of unneeded fields
:param kuenstlerFile: path to kuenstler data file
:param objDaten: objDaten dict
:param logFile: path to logfile
:return: dict (and updates objDaten)
"""
# setup
flog = codecs.open(logFile, 'w', 'utf-8') # logfile
output(u"Crunching kuenstler...")
dummyNames = (u'ingen uppgift', )
badRoles = (u'Leverantör', u'Auktion', u'Förmedlare', u'Givare',
u'Återförsäljare', u'Konservator')
badRoleCmts = (u'Förpaktare, kontrollör', u'av kopia')
droppedFields = ('OkuId', 'ObjAufId', 'AufAufgabeS', 'OkuArtS',
'OkuFunktionS', 'OkuValidierungS', 'KudArtS', 'MulId',
'PhoId')
# handle kuenstler
kuenstlerHeader = 'OkuId|ObjId|ObjAufId|AufAufgabeS|KueId|KueVorNameS|' \
'KueNameS|OkuArtS|OkuFunktionS|OkuValidierungS|KudArtS|' \
'KudDatierungS|KudJahrVonL|KudJahrBisL|KudOrtS|KudLandS|' \
'KueFunktionS|MulId|PhoId'
kuenstler = helpers.csvFileToDict(kuenstlerFile, ('OkuId', 'MulId'),
kuenstlerHeader)
originalSize = len(kuenstler)
# collect all kueId and drop any with invalid title or role
# also invert to get per objId connections
# @toDO: Is keeping objId in kuenstler really needed?
# Otherwise populate objIdConnection here
foundKueId = {}
objIdConnection = {}
for k, v in kuenstler.items(): # allow removing entries from within loop
kueId = v['KueId']
objId = v['ObjId']
fName = v['KueVorNameS']
lName = v['KueNameS']
role = v['OkuArtS']
roleCmt = v['OkuFunktionS']
# filter out any undesired entries
if role in badRoles or \
roleCmt in badRoleCmts or \
len(fName) + len(lName) == 0 or \
lName in dummyNames:
del kuenstler[k]
continue
# send unique role/kueId combo for objid
kueCombo = u'%s:%s:%s' % (role, roleCmt, kueId)
if objId not in objIdConnection.keys():
objIdConnection[objId] = set([])
objIdConnection[objId].add(kueCombo)
# keep only one entry per unique kueId
if kueId not in foundKueId.keys(): # keep this entry
foundKueId[kueId] = k
kuenstler[k]['ObjId'] = set([objId, ])
else: # keep only objId part of this entry
kuenstler[foundKueId[kueId]]['ObjId'].add(objId)
del kuenstler[k]
output('\tkueIds: reduced from %d to %d' % (originalSize, len(kuenstler)))
# add to objDaten
output('\tadding kueId to objDaten...')
for k, v in objDaten.iteritems():
objId = v['ObjId']
v['role:roleCmt:kueId'] = []
if objId in objIdConnection.keys():
v['role:roleCmt:kueId'] = list(objIdConnection.pop(objId))
# further cleanup of kuenstler
# correcting ort/land entries
# stripping years from name
# dropping a bunch of fields
output('\tfurther cleanup of kuenstler...')
for k, v in kuenstler.iteritems():
land = v['KudOrtS'] # missnamed in original database
ort = v['KudLandS'] # missnamed in original database
lName = v['KueNameS']
bYear = v['KudJahrVonL']
dYear = v['KudJahrBisL']
objIds = v['ObjId']
# correct missnaming in original database
v['KudOrtS'] = ort
v['KudLandS'] = land
# convert set to list
v['ObjId'] = list(objIds)
# take yearinfo out of name, and store in year
lName, bYear, dYear, log = extractKuenstlerYear(lName, bYear, dYear)
if log:
flog.write(log)
v['KueNameS'] = lName
v['KudJahrVonL'] = bYear
v['KudJahrBisL'] = dYear
for field in droppedFields:
del v[field]
flog.close()
output(u"...done")
return kuenstler
def extractKuenstlerYear(name, bYear, dYear):
"""
Checks for the presence of years at the end of a name,
if found these are stripped after comparison to birth/death years.
If birth/death years are not known then the found values are returned
:param name: the string to test
:param bYear: the known birth year
:param dYear: the known death year
:return: str, str, str, str
"""
log = ''
testYears = None
testName = None
if name.endswith(')'):
test = name.split('(')[-1][:-1]
if ',' in test: # (title, YYYY-YYYY)
parts = test.split(',')
testYears = parts[-1].split('-')
testName = '('.join(name.split('(')[:-1])
testName += u'(%s)' % ','.join(parts[:-1])
else: # (YYYY-YYYY)
testYears = test.split('-')
testName = '('.join(name.split('(')[:-1])
elif helpers.is_int(name[-len('YYYY'):]): # YYYY-YYYY
test = name[-len('YYYY-YYYY'):]
testYears = test.split('-')
testName = name[:-len('YYYY-YYYY')]
# found potential matches
if testYears:
for i, e in enumerate(testYears):
testYears[i] = e.strip('*+ ') # (*YYYY-YYYY+)
if len(testYears) == 2 and \
all(not testY or helpers.is_int(testY)
for testY in testYears):
# YYYY-YYYY
if bYear and bYear != testYears[0]:
log += u'bYear: %s,\t%s != %s\n' % (name, testYears[0], bYear)
if dYear and dYear != testYears[1]:
log += u'dYear: %s,\t%s != %s\n' % (name, testYears[1], dYear)
if not log:
name = testName.strip().rstrip(',')
bYear = testYears[0]
dYear = testYears[1]