本文整理汇总了Python中openspending.model.Dataset.entries方法的典型用法代码示例。如果您正苦于以下问题：Python Dataset.entries方法的具体用法？Python Dataset.entries怎么用？Python Dataset.entries使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类openspending.model.Dataset的用法示例。
在下文中一共展示了Dataset.entries方法的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: TestDatasetLoad
# 需要导入模块: from openspending.model import Dataset [as 别名]
# 或者: from openspending.model.Dataset import entries [as 别名]
class TestDatasetLoad(DatabaseTestCase):
def setup(self):
super(TestDatasetLoad, self).setup()
self.ds = Dataset(SIMPLE_MODEL)
self.ds.generate()
self.engine = db.engine
def test_load_all(self):
load_dataset(self.ds)
resn = self.engine.execute(self.ds.table.select()).fetchall()
assert len(resn) == 6, resn
row0 = resn[0]
assert row0["amount"] == 200, row0.items()
assert row0["field"] == "foo", row0.items()
def test_flush(self):
load_dataset(self.ds)
resn = self.engine.execute(self.ds.table.select()).fetchall()
assert len(resn) == 6, resn
self.ds.flush()
resn = self.engine.execute(self.ds.table.select()).fetchall()
assert len(resn) == 0, resn
def test_drop(self):
tn = self.engine.table_names()
assert "test__entry" in tn, tn
assert "test__to" in tn, tn
assert "test__function" in tn, tn
self.ds.drop()
tn = self.engine.table_names()
assert "test__entry" not in tn, tn
assert "test__to" not in tn, tn
assert "test__function" not in tn, tn
def test_dataset_count(self):
load_dataset(self.ds)
assert len(self.ds) == 6, len(self.ds)
def test_aggregate_simple(self):
load_dataset(self.ds)
res = self.ds.aggregate()
assert res["summary"]["num_entries"] == 6, res
assert res["summary"]["amount"] == 2690.0, res
def test_aggregate_basic_cut(self):
load_dataset(self.ds)
res = self.ds.aggregate(cuts=[("field", u"foo")])
assert res["summary"]["num_entries"] == 3, res
assert res["summary"]["amount"] == 1000, res
def test_aggregate_or_cut(self):
load_dataset(self.ds)
res = self.ds.aggregate(cuts=[("field", u"foo"), ("field", u"bar")])
assert res["summary"]["num_entries"] == 4, res
assert res["summary"]["amount"] == 1190, res
def test_aggregate_dimensions_drilldown(self):
load_dataset(self.ds)
res = self.ds.aggregate(drilldowns=["function"])
assert res["summary"]["num_entries"] == 6, res
assert res["summary"]["amount"] == 2690, res
assert len(res["drilldown"]) == 2, res["drilldown"]
def test_aggregate_two_dimensions_drilldown(self):
load_dataset(self.ds)
res = self.ds.aggregate(drilldowns=["function", "field"])
assert res["summary"]["num_entries"] == 6, res
assert res["summary"]["amount"] == 2690, res
assert len(res["drilldown"]) == 5, res["drilldown"]
def test_aggregate_by_attribute(self):
load_dataset(self.ds)
res = self.ds.aggregate(drilldowns=["function.label"])
assert len(res["drilldown"]) == 2, res["drilldown"]
def test_aggregate_two_attributes_same_dimension(self):
load_dataset(self.ds)
res = self.ds.aggregate(drilldowns=["function.name", "function.label"])
assert len(res["drilldown"]) == 2, res["drilldown"]
def test_materialize_table(self):
load_dataset(self.ds)
itr = self.ds.entries()
tbl = list(itr)
assert len(tbl) == 6, len(tbl)
row = tbl[0]
assert isinstance(row["field"], unicode), row
assert isinstance(row["function"], dict), row
assert isinstance(row["to"], dict), row示例2: TestDatasetLoad
# 需要导入模块: from openspending.model import Dataset [as 别名]
# 或者: from openspending.model.Dataset import entries [as 别名]
class TestDatasetLoad(DatabaseTestCase):
def setup(self):
super(TestDatasetLoad, self).setup()
self.ds = Dataset(SIMPLE_MODEL)
self.ds.generate()
self.engine = db.engine
def test_load_all(self):
load_dataset(self.ds)
resn = self.engine.execute(self.ds.table.select()).fetchall()
assert len(resn)==6,resn
row0 = resn[0]
assert row0['amount']==200, row0.items()
assert row0['field']=='foo', row0.items()
def test_flush(self):
load_dataset(self.ds)
resn = self.engine.execute(self.ds.table.select()).fetchall()
assert len(resn)==6,resn
self.ds.flush()
resn = self.engine.execute(self.ds.table.select()).fetchall()
assert len(resn)==0,resn
def test_drop(self):
tn = self.engine.table_names()
assert 'test__entry' in tn, tn
assert 'test__to' in tn, tn
assert 'test__function' in tn, tn
self.ds.drop()
tn = self.engine.table_names()
assert 'test__entry' not in tn, tn
assert 'test__to' not in tn, tn
assert 'test__function' not in tn, tn
def test_dataset_count(self):
load_dataset(self.ds)
assert len(self.ds)==6,len(self.ds)
def test_aggregate_simple(self):
load_dataset(self.ds)
res = self.ds.aggregate()
assert res['summary']['num_entries']==6, res
assert res['summary']['amount']==2690.0, res
def test_aggregate_basic_cut(self):
load_dataset(self.ds)
res = self.ds.aggregate(cuts=[('field', u'foo')])
assert res['summary']['num_entries']==3, res
assert res['summary']['amount']==1000, res
def test_aggregate_or_cut(self):
load_dataset(self.ds)
res = self.ds.aggregate(cuts=[('field', u'foo'),
('field', u'bar')])
assert res['summary']['num_entries']==4, res
assert res['summary']['amount']==1190, res
def test_aggregate_dimensions_drilldown(self):
load_dataset(self.ds)
res = self.ds.aggregate(drilldowns=['function'])
assert res['summary']['num_entries']==6, res
assert res['summary']['amount']==2690, res
assert len(res['drilldown'])==2, res['drilldown']
def test_aggregate_two_dimensions_drilldown(self):
load_dataset(self.ds)
res = self.ds.aggregate(drilldowns=['function', 'field'])
assert res['summary']['num_entries']==6, res
assert res['summary']['amount']==2690, res
assert len(res['drilldown'])==5, res['drilldown']
def test_aggregate_by_attribute(self):
load_dataset(self.ds)
res = self.ds.aggregate(drilldowns=['function.label'])
assert len(res['drilldown'])==2, res['drilldown']
def test_aggregate_two_attributes_same_dimension(self):
load_dataset(self.ds)
res = self.ds.aggregate(drilldowns=['function.name', 'function.label'])
assert len(res['drilldown'])==2, res['drilldown']
def test_materialize_table(self):
load_dataset(self.ds)
itr = self.ds.entries()
tbl = list(itr)
assert len(tbl)==6, len(tbl)
row = tbl[0]
assert isinstance(row['field'], unicode), row
assert isinstance(row['function'], dict), row
assert isinstance(row['to'], dict), row