def main():
asf.setServer('Prod')
now1 = datetime.now()
start_time = str(now1)
end_time = '' #set later
# today_str = str(date.today().strftime("%Y%m%d"))
yest_str = str((date.today() - timedelta(days=1)).strftime("%Y-%m-%d"))
sheet_id = '198ON5qZ3MYBWPbSAopWkGE6hcUD8P-KMkWkq2qRooOY'
data_data = [{
'range': 'resource-changes!A:Z',
'filter': 'resources'
}, {
'range': 'accession-changes!A:Z',
'filter': 'accessions'
}]
for d in data_data:
print('processing ' + d['filter'])
the_sheet = dataSheet(sheet_id, d['range'])
the_date = yest_str
# the_date = '2019-08-27'
the_repos = [2, 3, 4, 5]
the_fields = [
'id', 'title', 'identifier', 'create_time', 'system_mtime',
'last_modified_by', 'publish'
]
the_modifieds = []
for r in the_repos:
print('searching repo ' + str(r))
x = asf.getByDate(r,
the_date,
date_type='mtime',
comparator='equal',
filter=d['filter'],
fields=the_fields)
for a in x:
row = [a[v] for v in the_fields]
print(row)
the_modifieds.append(row)
# print(list(a.values()))
# the_modifieds.append(list(a.values()))
print('Repo ' + str(r) + ': ' + str(len(x)))
print('Total ' + d['filter'] + ': ' + str(len(the_modifieds)))
# the_sheet.clear()
# the_sheet.appendData([the_fields])
the_sheet.appendData(the_modifieds)
quit()
def main():
asf.setServer('Prod') # AS instance: Prod | Dev | Test
mode = 'Prod' # Prod or Test
my_name = __file__
script_name = os.path.basename(my_name)
# This makes sure the script can be run from any working directory and still find related files.
my_path = os.path.dirname(__file__)
now1 = datetime.now()
start_time = str(now1)
end_time = '' # set later
# today_str = str(date.today().strftime("%Y%m%d"))
yest_str = str((date.today() - timedelta(days=1)).strftime("%Y%m%d"))
########################
### PROCESS OAI DATA ###
########################
# Set path to Saxon processor
# saxon_path = os.path.join(my_path, "../../resources/saxon-9.8.0.12-he.jar")
# XSLT file to generate report
marc_xslt_file = os.path.join(my_path, '../xslt/marcDataExtract.xsl')
if mode == 'Prod':
# OAI XML file to use as source
# source_dir='/cul/cul0/lito/libsys/voyager/prod/data/loads/AS_harvest'
source_dir = '/cul/cul0/ldpd/archivesspace/oai'
sheet_id = '198ON5qZ3MYBWPbSAopWkGE6hcUD8P-KMkWkq2qRooOY'
oai_file = source_dir + '/' + yest_str + '.asAllRaw.xml'
else: # TEST
yest_str = "20190915"
# OAI XML file to use as source
source_dir = '/Users/dwh2128/Documents/ACFA/exist-local/backups/cached_eads/cached_eads_20190912' # local test
sheet_id = '1YzM1dinagfoTUirAoA2hHBfnhSM1PsPt8TkwTT9KlgQ'
oai_file = yest_str + '.asAllRaw.xml'
the_sheets = {
'oai': dataSheet(sheet_id, 'oai!A:Z'),
'oai_last': dataSheet(sheet_id, 'oai_last!A:Z'),
'log': dataSheet(sheet_id, 'log!A:Z')
}
the_outpath = os.path.join(my_path,
'output/' + yest_str + '.marc_reporter_out.xml')
print(' ')
# Copy oai current data to oai_last sheet for diff
the_old_data = the_sheets['oai'].getData()
the_sheets['oai_last'].clear()
the_sheets['oai_last'].appendData(the_old_data)
# Process OAI MARC and output to CSV
util.saxon_process(oai_file, marc_xslt_file, the_outpath)
# clear data from "new" sheet
the_sheets['oai'].clear()
# Send result csv to Google Sheet.
y = the_sheets['oai'].importCSV(the_outpath, delim='|')
print(' ')
########################
### PROCESS UNPUBLISHED ###
########################
print('Finding unpublished records...')
the_repos = [2, 3, 4, 5]
the_fields = [
'id', 'title', 'identifier', 'create_time', 'system_mtime',
'last_modified_by', 'json'
]
the_heads = [
'REPO', 'REPO_ID', 'RESOURCE_ID', 'TITLE', 'BIBID', 'CREATE_TIME',
'SYSTEM_MTIME', 'LAST_MODIFIED_BY'
]
unpubs_sheet = dataSheet(sheet_id, 'unpublished!A:Z')
the_unpublished = []
for r in the_repos:
print('searching repo ' + str(r))
x = asf.getUnpublished(r, filter='resources', fields=the_fields)
# print(x)
for a in x:
row = [a[v] for v in the_fields]
# print(row)
my_json = json.loads(row.pop(6))
try:
call_no = my_json['user_defined']['string_1']
except:
call_no = ''
# get the repo from the uri string.
repo_id = int(str(row[0].split('/')[-3]).rstrip())
# get the asid from the uri string.
asid = int(str(row[0].split('/')[-1]).rstrip())
row.pop(0)
row.insert(0, asid), row.insert(0, repo_id)
if 'UA' in call_no:
repo = 'nnc-ua'
else:
repo = get_repo(repo_id)
row.insert(0, repo)
the_unpublished.append(row)
print('Repo ' + str(r) + ': ' + str(len(x)))
# print('Total unpublished: ' + str(len(the_unpublished)))
msg = 'Total unpublished: ' + str(len(the_unpublished))
print(msg)
digester.post_digest(script_name, msg) # Test
unpubs_sheet.clear()
unpubs_sheet.appendData([the_heads])
unpubs_sheet.appendData(the_unpublished)
########################
### GET NEWLY CREATED ###
########################
data_data = [{
'range': 'resource-changes!A:Z',
'filter': 'resources'
}, {
'range': 'accession-changes!A:Z',
'filter': 'accessions'
}]
for d in data_data:
print('processing ' + d['filter'])
the_delta_sheet = dataSheet(sheet_id, d['range'])
the_date = yest_str
# the_date = '2019-08-27'
the_repos = [2, 3, 4, 5]
the_fields = [
'id', 'title', 'identifier', 'create_time', 'system_mtime',
'last_modified_by', 'publish'
]
the_heads = [
'repo', 'asid', 'title', 'identifier', 'create_time',
'system_mtime', 'last_modified_by', 'publish'
]
the_modifieds = []
for r in the_repos:
print('searching repo ' + str(r))
x = asf.getByDate(r,
the_date,
date_type='ctime',
comparator='equal',
filter=d['filter'],
fields=the_fields)
for a in x:
row = [a[v] for v in the_fields]
# print(row)
# get the repo from the uri string.
repo = str(row[0].split('/')[-3]).rstrip()
# get the asid from the uri string.
asid = str(row[0].split('/')[-1]).rstrip()
row.pop(0)
row.insert(0, asid), row.insert(0, repo)
the_modifieds.append(row)
# print(list(a.values()))
# the_modifieds.append(list(a.values()))
print('Repo ' + str(r) + ': ' + str(len(x)))
print('Total ' + d['filter'] + ': ' + str(len(the_modifieds)))
digester.post_digest(script_name, 'New ' + d['filter'] + ': ' +
str(len(the_modifieds))) # Test
# the_sheet.clear()
# the_sheet.appendData([the_fields])
the_delta_sheet.appendData(the_modifieds)
########################
### FINISH UP ###
########################
# Generate log string.
now2 = datetime.now()
end_time = str(now2)
my_duration = str(now2 - now1)
the_log = 'Data imported by ' + my_name + '. Start: ' + start_time + \
'. Finished: ' + end_time + ' (duration: ' + my_duration + ').'
the_sheets['log'].appendData([[the_log]])
print(' ')
print(the_log)
digester.post_digest(script_name, the_log) # Test
print(' ')
print('Script done. Updated data is available at ' + the_sheets['oai'].url)
