def test_bigquery_parser_write_timezone(options):
prefix = options.pop("prefix")
service = options.pop("service")
dialect = BigqueryDialect(table=prefix, **options)
source = Resource("data/timezone.csv")
target = source.write(service, dialect=dialect)
with target:
assert target.read_rows() == [
{
"datetime": datetime.datetime(2020, 1, 1, 15),
"time": datetime.time(15)
},
{
"datetime": datetime.datetime(2020, 1, 1, 15),
"time": datetime.time(15)
},
{
"datetime": datetime.datetime(2020, 1, 1, 15),
"time": datetime.time(15)
},
{
"datetime": datetime.datetime(2020, 1, 1, 15),
"time": datetime.time(15)
},
]
def test_bigquery_storage_constraints(options):
prefix = options.pop("prefix")
service = options.pop("service")
dialect = BigqueryDialect(table=prefix, **options)
source = Package("data/storage/constraints.json")
storage = source.to_bigquery(service, dialect=dialect)
target = Package.from_bigquery(service, dialect=dialect)
# Assert metadata
assert target.get_resource("constraints").schema == {
"fields": [
{
"name": "required",
"type": "string",
"constraints": {
"required": True
}
},
{
"name": "minLength",
"type": "string"
}, # constraint removal
{
"name": "maxLength",
"type": "string"
}, # constraint removal
{
"name": "pattern",
"type": "string"
}, # constraint removal
{
"name": "enum",
"type": "string"
}, # constraint removal
{
"name": "minimum",
"type": "integer"
}, # constraint removal
{
"name": "maximum",
"type": "integer"
}, # constraint removal
],
}
# Assert data
assert target.get_resource("constraints").read_rows() == [
{
"required": "passing",
"minLength": "passing",
"maxLength": "passing",
"pattern": "passing",
"enum": "passing",
"minimum": 5,
"maximum": 5,
},
]
# Cleanup storage
storage.delete_package(target.resource_names)
def test_bigquery_parser_write_timezone(options):
prefix = options.pop("prefix")
service = options.pop("service")
dialect = BigqueryDialect(table=prefix, **options)
with Table("data/timezone.csv") as table:
table.write(service, format="ckan", dialect=dialect)
with Table(service, format="ckan", dialect=dialect) as table:
assert table.read_rows() == [
{
"datetime": datetime.datetime(2020, 1, 1, 15),
"time": datetime.time(15)
},
{
"datetime": datetime.datetime(2020, 1, 1, 15),
"time": datetime.time(15)
},
{
"datetime": datetime.datetime(2020, 1, 1, 15),
"time": datetime.time(15)
},
{
"datetime": datetime.datetime(2020, 1, 1, 15),
"time": datetime.time(15)
},
]
def test_storage_big_file(options):
service = options.pop("service")
dialect = BigqueryDialect(**options)
storage = BigqueryStorage(service, dialect=dialect)
resource = Resource(name="table", data=[[1]] * 1500)
storage.write_resource(resource, force=True)
target = storage.read_resource("table")
assert len(target.read_rows()) == 1500
storage.delete_package(list(storage))
def test_bigquery_storage_delete_resource_not_existent_error(options):
service = options.pop("service")
dialect = BigqueryDialect(**options)
storage = BigqueryStorage(service, dialect=dialect)
with pytest.raises(FrictionlessException) as excinfo:
storage.delete_resource("bad")
error = excinfo.value.error
assert error.code == "storage-error"
assert error.note.count("does not exist")
def test_bigquery_storage_write_resource_existent_error(options):
service = options.pop("service")
dialect = BigqueryDialect(**options)
storage = BigqueryStorage(service, dialect=dialect)
resource = Resource(path="data/table.csv")
storage.write_resource(resource, force=True)
with pytest.raises(FrictionlessException) as excinfo:
storage.write_resource(resource)
error = excinfo.value.error
assert error.code == "storage-error"
assert error.note.count("already exists")
# Cleanup storage
storage.delete_package(list(storage))
def test_table_bigquery(options):
prefix = options.pop("prefix")
service = options.pop("service")
dialect = BigqueryDialect(table=prefix, **options)
# Write
with Table("data/table.csv") as table:
table.write(service, dialect=dialect)
# Read
with Table(service, dialect=dialect) as table:
assert table.header == ["id", "name"]
assert table.read_rows() == [
{"id": 1, "name": "english"},
{"id": 2, "name": "中国人"},
]
def test_bigquery_parser(options):
prefix = options.pop("prefix")
service = options.pop("service")
dialect = BigqueryDialect(table=prefix, **options)
# Write
source = Resource("data/table.csv")
target = Resource(service, dialect=dialect)
source.write(target)
# Read
with target:
assert target.header == ["id", "name"]
assert target.read_rows() == [
{"id": 1, "name": "english"},
{"id": 2, "name": "中国人"},
]
def test_bigquery_storage_types(options):
prefix = options.pop("prefix")
service = options.pop("service")
dialect = BigqueryDialect(table=prefix, **options)
source = Package("data/storage/types.json")
storage = source.to_bigquery(service, dialect=dialect)
target = Package.from_bigquery(service, dialect=dialect)
# Assert metadata
assert target.get_resource("types").schema == {
"fields": [
{
"name": "any",
"type": "string"
}, # type fallback
{
"name": "array",
"type": "string"
}, # type fallback
{
"name": "boolean",
"type": "boolean"
},
{
"name": "date",
"type": "date"
},
{
"name": "date_year",
"type": "date"
}, # format removal
{
"name": "datetime",
"type": "datetime"
},
{
"name": "duration",
"type": "string"
}, # type fallback
{
"name": "geojson",
"type": "string"
}, # type fallback
{
"name": "geopoint",
"type": "string"
}, # type fallback
{
"name": "integer",
"type": "integer"
},
{
"name": "number",
"type": "number"
},
{
"name": "object",
"type": "string"
}, # type fallback
{
"name": "string",
"type": "string"
},
{
"name": "time",
"type": "time"
},
{
"name": "year",
"type": "integer"
}, # type downgrade
{
"name": "yearmonth",
"type": "string"
}, # type fallback
],
}
# Assert data
assert target.get_resource("types").read_rows() == [
{
"any": "中国人",
"array": '["Mike", "John"]',
"boolean": True,
"date": datetime.date(2015, 1, 1),
"date_year": datetime.date(2015, 1, 1),
# converted into UTC
"datetime": datetime.datetime(2015, 1, 1, 3, 0),
"duration": "P1Y1M",
"geojson": '{"type": "Point", "coordinates": [33, 33.33]}',
"geopoint": "30,70",
"integer": 1,
"number": 7,
"object": '{"chars": 560}',
"string": "english",
"time": datetime.time(3, 0),
"year": 2015,
"yearmonth": "2015-01",
},
]
# Cleanup storage
storage.delete_package(target.resource_names)
def test_bigquery_storage_integrity(options):
prefix = options.pop("prefix")
service = options.pop("service")
dialect = BigqueryDialect(table=prefix, **options)
source = Package("data/storage/integrity.json")
storage = source.to_bigquery(service, dialect=dialect)
target = Package.from_bigquery(service, dialect=dialect)
# Assert metadata (main)
assert target.get_resource("integrity_main").schema == {
"fields": [
# added required
{
"name": "id",
"type": "integer"
},
{
"name": "parent",
"type": "integer"
},
{
"name": "description",
"type": "string"
},
],
# primary key removal
# foreign keys removal
}
# Assert metadata (link)
assert target.get_resource("integrity_link").schema == {
"fields": [
{
"name": "main_id",
"type": "integer"
},
{
"name": "some_id",
"type": "integer"
}, # constraint removal
{
"name": "description",
"type": "string"
}, # constraint removal
],
# primary key removal
# foreign keys removal
}
# Assert data (main)
assert target.get_resource("integrity_main").read_rows() == [
{
"id": 1,
"parent": None,
"description": "english"
},
{
"id": 2,
"parent": 1,
"description": "中国人"
},
]
# Assert data (link)
assert target.get_resource("integrity_link").read_rows() == [
{
"main_id": 1,
"some_id": 1,
"description": "note1"
},
{
"main_id": 2,
"some_id": 2,
"description": "note2"
},
]
# Cleanup storage
storage.delete_package(target.resource_names)