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to_tabular_for_viz.py
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to_tabular_for_viz.py
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import json
import dvconfig
import os
import time
import csv
from io import StringIO
base_url = dvconfig.base_url
api_token = dvconfig.api_token
paths = dvconfig.sample_data
alldata = []
file_id = 0
dataverse_level_1_id = ""
dataverse_level_2_id = ""
dataverse_level_3_id = ""
for path in paths:
parts = path.split('/')
json_file = parts[-1]
dvtype = parts[-3]
if 'dataverses' == dvtype:
dvtype = 'dataverse'
else:
dvtype = 'dataset'
parent = parts[-4]
if 'data' == parent:
parent = ':root'
if ('dataverse' == dvtype):
pass
else:
dataset_json = path
with open(dataset_json) as f:
metadata = json.load(f)
dataverse = parent
files_dir = path.replace(json_file, '') + 'files'
for path,subdir,files in os.walk(files_dir):
for name in files:
file_id +=1
datarow = []
datarow.append(file_id)
datarow.append(name)
title = metadata['datasetVersion']['metadataBlocks']['citation']['fields'][0]['value']
subjects = metadata['datasetVersion']['metadataBlocks']['citation']['fields'][4]['value']
# FIXME: clean up this special case
if title == 'Reproductive Health Laws Around the World':
subjects = metadata['datasetVersion']['metadataBlocks']['citation']['fields'][5]['value']
datarow.append(title)
filepath = os.path.join(path,name)
parts = filepath.split('/dataverses/')
alias1 = None
name1 = None
try:
alias1 = parts[1].split('/')[0]
dv_json = 'data/dataverses/' + alias1 + '/' + alias1 + '.json'
with open(dv_json) as f:
alias1md = json.load(f)
name1 = alias1md['name']
except:
pass
datarow.append(dataverse_level_1_id)
datarow.append(alias1)
datarow.append(name1)
alias2 = None
name2 = None
try:
alias2 = parts[2].split('/')[0]
dv_json = 'data/dataverses/' + alias1 + '/dataverses/' + alias2 + '/' + alias2 + '.json'
with open(dv_json) as f:
alias2md = json.load(f)
name2 = alias2md['name']
except:
pass
datarow.append(dataverse_level_2_id)
datarow.append(alias2)
datarow.append(name2)
alias3 = None
name3 = None
try:
alias3 = parts[3].split('/')[0]
dv_json = 'data/dataverses/' + alias1 + '/dataverses/' + alias2 + '/dataverses/' + alias3 + '/' + alias3 + '.json'
with open(dv_json) as f:
alias3md = json.load(f)
name3 = alias3md['name']
except:
pass
datarow.append(dataverse_level_3_id)
datarow.append(alias3)
datarow.append(name3)
datarow.append(';'.join(subjects))
# TODO: stop hard coding date
publication_date = '2019-09-27'
datarow.append(publication_date)
datarow.append(publication_date)
datarow.append(publication_date)
alldata.append(datarow)
for i in alldata:
print
print(i)
outfile = open('./files.tsv','w')
writer=csv.writer(outfile, delimiter='\t')
writer.writerow([
'fileid',
'filename',
'dataset_name',
'dataverse_level_1_id',
'dataverse_level_1_alias',
'dataverse_level_1_friendly_name',
'dataverse_level_2_id',
'dataverse_level_2_alias',
'dataverse_level_2_friendly_name',
'dataverse_level_3_id',
'dataverse_level_3_alias',
'dataverse_level_3_friendly_name',
'subjects',
'file_creation_date',
'file_publication_date',
'publication_date'
])
writer.writerows(alldata)