def test_delete_source(self):
"""
Test source removal with a source that includes errors
"""
# Add and import source with errors (we want to remove it)
# The source is added to a dataset called 'test-csv' (but
# we'll just use source.dataset.name in case it changes)
source = csvimport_fixture('import_errors')
source.dataset.managers.append(Account.by_name('test'))
importer = CSVImporter(source)
importer.run()
# Make sure the source is imported
assert db.session.query(Source).filter_by(id=source.id).count() == 1, \
"Import of csv failed. Source not found"
# Delete the source
response = self.app.post(url(controller='source',
action='delete',
dataset=source.dataset.name,
id=source.id),
extra_environ={'REMOTE_USER': '******'})
# Check if source has been deleted
assert db.session.query(Source).filter_by(id=source.id).count() == 0, \
"Deleting source unsuccessful. Source still exists."
def import_csv(dataset, url, args):
"""
Import the csv data into the dataset
"""
csv_data_url, source_url = url
source = Source(dataset, shell_account(),
csv_data_url)
# Analyse the csv data and add it to the source
# If we don't analyse it we'll be left with a weird message
source.analysis = analyze_csv(csv_data_url)
# Check to see if the dataset already has this source
for source_ in dataset.sources:
if source_.url == csv_data_url:
source = source_
break
db.session.add(source)
db.session.commit()
dataset.generate()
importer = CSVImporter(source)
importer.run(**vars(args))
# Check if imported from the file system (source and data url differ)
if csv_data_url != source_url:
# If we did, then we must update the source url based on the
# sources in the dataset model (so we need to fetch the source again
# or else we'll add a new one)
source = Source.by_id(source.id)
source.url = source_url
db.session.commit()
class TestRunController(ControllerTestCase):
def setup(self):
super(TestRunController, self).setup()
self.source = csvimport_fixture('import_errors')
self.source.dataset.managers.append(Account.by_name('test'))
self.importer = CSVImporter(self.source)
self.importer.run()
def test_view_run(self):
response = self.app.get(url(controller='run',
action='view', dataset=self.source.dataset.name,
source=self.source.id,
id=self.importer._run.id),
extra_environ={'REMOTE_USER': '******'},
expect_errors=True)
assert readable_url(self.source.url).encode('utf-8') in response.body
def test_view_run_does_not_exist(self):
response = self.app.get(url(controller='run',
action='view', dataset=self.source.dataset.name,
source=self.source.id,
id=47347893),
extra_environ={'REMOTE_USER': '******'},
expect_errors=True)
assert '404' in response.status, response.status
def test_delete_successfully_loaded_source(self):
"""
Test source removal with a source that has been successfully loaded.
Removing a source that has been successfully loaded should not be
possible.
"""
# Add and import source without errors.
# The source is added to a dataset called 'test-csv' (but
# we'll just use source.dataset.name in case it changes)
source = csvimport_fixture('successful_import')
source.dataset.managers.append(Account.by_name('test'))
importer = CSVImporter(source)
importer.run()
# Make sure the source is imported
assert db.session.query(Source).filter_by(id=source.id).count() == 1, \
"Import of csv failed. Source not found"
# Delete the source
response = self.app.post(url(controller='source',
action='delete',
dataset=source.dataset.name,
id=source.id),
extra_environ={'REMOTE_USER': '******'})
# Check if source has been deleted
assert db.session.query(Source).filter_by(id=source.id).count() == 1, \
"Deleting source succeeded. The source is gone."
def test_error_with_empty_additional_date(self):
source = csvimport_fixture('empty_additional_date')
importer = CSVImporter(source)
importer.run()
# We are currently not able to import date cells without a value. See:
# http://trac.openspending.org/ticket/170
h.assert_equal(importer.errors, 1)
def test_no_dimensions_for_measures(self):
source = csvimport_fixture('simple')
importer = CSVImporter(source)
importer.run()
dataset = db.session.query(Dataset).first()
dimensions = [str(d.name) for d in dataset.dimensions]
h.assert_equal(sorted(dimensions), ['entry_id', 'from', 'time', 'to'])
def test_erroneous_values(self):
source = csvimport_fixture('erroneous_values')
importer = CSVImporter(source)
importer.run(dry_run=True)
h.assert_equal(importer.errors, 2)
records = list(importer._run.records)
h.assert_true("time" in records[1].attribute,
"Should find badly formatted date")
h.assert_equal(records[1].row, 5)
def test_import_errors(self):
source = csvimport_fixture('import_errors')
importer = CSVImporter(source)
importer.run(dry_run=True)
h.assert_true(importer.errors > 1, "Should have errors")
records = list(importer._run.records)
h.assert_equal(records[0].row, 1,
"Should detect missing date colum in line 1")
def test_empty_csv(self):
source = csvimport_fixture('default')
source.url = 'file:///dev/null'
importer = CSVImporter(source)
importer.run(dry_run=True)
h.assert_equal(importer.errors, 2)
records = list(importer._run.records)
h.assert_equal(records[0].row, 0)
h.assert_equal(records[1].row, 0)
h.assert_true("Didn't read any lines of data" in str(records[1].message))
def _test_import(self, name):
source = csvimport_fixture(name)
data = open(source.url)
lines = self.count_lines_in_stream(data) - 1 # -1 for header row
importer = CSVImporter(source)
importer.run()
h.assert_equal(importer.errors, 0)
# check correct number of entries
dataset = db.session.query(Dataset).first()
entries = list(dataset.entries())
h.assert_equal(len(entries), lines)
def test_successful_import(self):
source = csvimport_fixture('successful_import')
importer = CSVImporter(source)
importer.run()
dataset = db.session.query(Dataset).first()
h.assert_true(dataset is not None, "Dataset should not be None")
h.assert_equal(dataset.name, "test-csv")
entries = dataset.entries()
h.assert_equal(len(list(entries)), 4)
# TODO: provenance
entry = list(dataset.entries(limit=1, offset=1)).pop()
h.assert_true(entry is not None,
"Entry with name could not be found")
h.assert_equal(entry['amount'], 66097.77)
def test_erroneous_values(self):
source = csvimport_fixture('erroneous_values')
importer = CSVImporter(source)
importer.run(dry_run=True)
# Expected failures:
# * unique key constraint not met (2x)
# * amount cannot be parsed
# * time cannot be parse
h.assert_equal(importer.errors, 4)
records = list(importer._run.records)
# The fourth record should be about badly formed date
h.assert_true("time" in records[3].attribute,
"Should find badly formatted date")
# The row number of the badly formed date should be 5
h.assert_equal(records[3].row, 5)
def test_successful_import(self):
source = csvimport_fixture('successful_import')
importer = CSVImporter(source)
importer.run()
dataset = db.session.query(Dataset).first()
assert dataset is not None, "Dataset should not be None"
assert dataset.name == "test-csv"
entries = dataset.entries()
assert len(list(entries)) == 4
# TODO: provenance
entry = list(dataset.entries(limit=1, offset=1)).pop()
assert entry is not None, "Entry with name could not be found"
assert entry['amount'] == 66097.77
def test_successful_import_with_simple_testdata(self):
source = csvimport_fixture('simple')
importer = CSVImporter(source)
importer.run()
h.assert_equal(importer.errors, 0)
dataset = db.session.query(Dataset).first()
h.assert_true(dataset is not None, "Dataset should not be None")
entries = list(dataset.entries())
h.assert_equal(len(entries), 5)
entry = entries[0]
h.assert_equal(entry['from']['label'], 'Test From')
h.assert_equal(entry['to']['label'], 'Test To')
h.assert_equal(entry['time']['name'], '2010-01-01')
h.assert_equal(entry['amount'], 100.00)
def test_successful_import_with_simple_testdata(self):
source = csvimport_fixture('simple')
importer = CSVImporter(source)
importer.run()
h.assert_equal(importer.errors, 0)
dataset = db.session.query(Dataset).first()
h.assert_true(dataset is not None, "Dataset should not be None")
entries = list(dataset.entries())
h.assert_equal(len(entries), 5)
entry = entries[0]
h.assert_equal(entry['from']['label'], 'Test From')
h.assert_equal(entry['to']['label'], 'Test To')
h.assert_equal(entry['time']['name'], '2010-01-01')
h.assert_equal(entry['amount'], 100.00)
def test_successful_import_with_simple_testdata(self):
source = csvimport_fixture('simple')
importer = CSVImporter(source)
importer.run()
assert importer.errors == 0
dataset = db.session.query(Dataset).first()
assert dataset is not None, "Dataset should not be None"
entries = list(dataset.entries())
assert len(entries) == 5
entry = entries[0]
assert entry['from']['label'] == 'Test From'
assert entry['to']['label'] == 'Test To'
assert entry['time']['name'] == '2010-01-01'
assert entry['amount'] == 100.00
def test_successful_import_with_simple_testdata(self):
source = csvimport_fixture('simple')
importer = CSVImporter(source)
importer.run()
assert importer.errors == 0
dataset = db.session.query(Dataset).first()
assert dataset is not None, "Dataset should not be None"
entries = list(dataset.entries())
assert len(entries) == 5
entry = entries[0]
assert entry['from']['label'] == 'Test From'
assert entry['to']['label'] == 'Test To'
assert entry['time']['name'] == '2010-01-01'
assert entry['amount'] == 100.00
def test_erroneous_values(self):
source = csvimport_fixture('erroneous_values')
importer = CSVImporter(source)
importer.run(dry_run=True)
# Expected failures:
# * unique key constraint not met (2x)
# * amount cannot be parsed
# * time cannot be parse
assert importer.errors == 4
records = list(importer._run.records)
# The fourth record should be about badly formed date
assert "time" in records[3].attribute, \
"Should find badly formatted date"
# The row number of the badly formed date should be 5
assert records[3].row == 5
def load_source(source_id, sample=False):
from openspending.model import Source
from openspending.importer import CSVImporter
source = Source.by_id(source_id)
if not source:
log.error("No such source: %s", source_id)
if not source.loadable:
log.error("Dataset has no mapping.")
return
source.dataset.generate()
importer = CSVImporter(source)
if sample:
importer.run(max_lines=1000, max_errors=1000)
else:
importer.run()
index_dataset.delay(source.dataset.name)
def load_source(source_id, sample=False):
from openspending.model.source import Source
from openspending.importer import CSVImporter
source = Source.by_id(source_id)
if not source:
log.error("No such source: %s", source_id)
if not source.loadable:
log.error("Dataset has no mapping.")
return
source.dataset.generate()
importer = CSVImporter(source)
if sample:
importer.run(dry_run=True, max_lines=1000, max_errors=1000)
else:
importer.run()
index_dataset.delay(source.dataset.name)
def test_quoting(self):
source = csvimport_fixture('quoting')
importer = CSVImporter(source)
importer.run()
h.assert_equal(importer.errors, 0)
def test_malformed_csv(self):
source = csvimport_fixture('malformed')
importer = CSVImporter(source)
importer.run(dry_run=True)
assert importer.errors == 1
def test_quoting(self):
source = csvimport_fixture('quoting')
importer = CSVImporter(source)
importer.run()
h.assert_equal(importer.errors, 0)
def test_quoting(self):
source = csvimport_fixture('quoting')
importer = CSVImporter(source)
importer.run()
assert importer.errors == 0
def test_malformed_csv(self):
source = csvimport_fixture('malformed')
importer = CSVImporter(source)
importer.run(dry_run=True)
h.assert_equal(importer.errors, 1)
def test_quoting(self):
source = csvimport_fixture('quoting')
importer = CSVImporter(source)
importer.run()
assert importer.errors == 0
def test_error_with_empty_additional_date(self):
source = csvimport_fixture('empty_additional_date')
importer = CSVImporter(source)
importer.run()
assert importer.errors == 1
if dataset is None:
dataset = Dataset(model)
db.session.add(dataset)
log.info("Dataset: %s", dataset.name)
source = Source(dataset, shell_account(), csv_data_url)
for source_ in dataset.sources:
if source_.url == csv_data_url:
source = source_
break
db.session.add(source)
db.session.commit()
dataset.generate()
importer = CSVImporter(source)
importer.run(**vars(args))
return 0
def _csvimport(args):
return csvimport(args.dataset_url, args)
def configure_parser(subparser):
p = subparser.add_parser('csvimport',
help='Load a CSV dataset',
description='You must specify --model.',
parents=[import_parser])
p.add_argument('--model',
action="store",
dest='model',
dataset = Dataset(model)
db.session.add(dataset)
log.info("Dataset: %s", dataset.name)
source = Source(dataset, shell_account(),
csv_data_url)
for source_ in dataset.sources:
if source_.url == csv_data_url:
source = source_
break
db.session.add(source)
db.session.commit()
dataset.generate()
importer = CSVImporter(source)
importer.run(**vars(args))
return 0
def _csvimport(args):
return csvimport(args.dataset_url, args)
def configure_parser(subparser):
p = subparser.add_parser('csvimport',
help='Load a CSV dataset',
description='You must specify --model.',
parents=[import_parser])
p.add_argument('--model', action="store", dest='model',
default=None, metavar='url',
help="URL of JSON format model (metadata and mapping).")
p.add_argument('dataset_url', help="Dataset file URL")
p.set_defaults(func=_csvimport)
def test_error_with_empty_additional_date(self):
source = csvimport_fixture('empty_additional_date')
importer = CSVImporter(source)
importer.run()
assert importer.errors == 1