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unit_tests.py
3133 lines (2641 loc) · 115 KB
/
unit_tests.py
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#
# unit_tests.py
#
# unit tests for littletable library
#
import ast
import contextlib
import typing
from collections import namedtuple
import copy
import io
import itertools
import json
from operator import attrgetter
import os
import sys
import textwrap
from types import SimpleNamespace
import unittest
from typing import Optional, Union
import littletable as lt
SKIP_CSV_IMPORT_USING_URL_TESTS = os.environ.get("SKIP_CSV_IMPORT_USING_URL_TESTS", "0") == "1"
# SKIP_CSV_IMPORT_USING_URL_TESTS = True
@contextlib.contextmanager
def timestamp_start_end(label=None, file=None):
import datetime
ret = SimpleNamespace()
ret.start = datetime.datetime.now().astimezone(datetime.timezone.utc)
if label:
print(f"Start - {label}: {ret.start}", file=file)
yield ret
ret.end = datetime.datetime.now().astimezone(datetime.timezone.utc)
ret.elapsed = ret.end - ret.start
if label:
print(f"End - {label}: {ret.end}", file=file)
import dataclasses
@dataclasses.dataclass
class DataDataclass:
a: int
b: int
c: int
try:
import pydantic
except ImportError:
print("pydantic tests disabled")
pydantic = None
else:
class DataPydanticModel(pydantic.BaseModel):
a: Optional[Union[int, str]]
b: Optional[Union[int, str]]
c: Optional[Union[int, str]]
class DataPydanticImmutableModel(pydantic.BaseModel):
class Config:
allow_mutation = False
a: Optional[Union[int, str]]
b: Optional[Union[int, str]]
c: Optional[Union[int, str]]
class DataPydanticORMModel(pydantic.BaseModel):
class Config:
orm_mode = True
a: Optional[Union[int, str]]
b: Optional[Union[int, str]]
c: Optional[Union[int, str]]
try:
import attr
except ImportError:
print("attrs tests disabled")
attr = None
else:
AttrClass = attr.make_class("AttrClass", ["a", "b", "c"])
try:
import traitlets
except ImportError:
print("traitlets tests disabled")
traitlets = None
else:
class TraitletsClass(lt.HasTraitsMixin, traitlets.HasTraits):
a = traitlets.Union([traitlets.Int(), traitlets.Unicode()], allow_none=True)
b = traitlets.Union([traitlets.Int(), traitlets.Unicode()], allow_none=True)
c = traitlets.Union([traitlets.Int(), traitlets.Unicode()], allow_none=True)
def __init__(self, **kwargs):
super().__init__()
for k, w in kwargs.items():
setattr(self, k, w)
def __repr__(self):
return f"{type(self).__name__}:(a={self.a}, b={self.b}, c={self.c})"
def __dir__(self):
return self.trait_names()
DataTuple = namedtuple("DataTuple", "a b c")
class TypingNamedTuple(typing.NamedTuple):
a: int
b: int
c: int
# if rich is not installed, disable table.present() calls
try:
import rich
except ImportError:
rich = None
# disable present() method, since rich is not available
lt.Table.present = lambda *args, **kwargs: None
class Slotted:
__slots__ = ['a', 'b', 'c']
def __init__(self, a, b, c):
self.a = a
self.b = b
self.c = c
def __eq__(self, other):
return (isinstance(other, Slotted) and
all(getattr(self, attr) == getattr(other, attr) for attr in self.__slots__))
def __repr__(self):
return f"{type(self).__name__}:(a={self.a}, b={self.b}, c={self.c})"
class SlottedWithDict:
__slots__ = {'a': 'a', 'b': 'b', 'c': 'c'}
def __init__(self, a, b, c):
self.a = a
self.b = b
self.c = c
def __eq__(self, other):
return (isinstance(other, SlottedWithDict) and
all(getattr(self, attr) == getattr(other, attr) for attr in self.__slots__))
def __repr__(self):
return f"{type(self).__name__}:(a={self.a}, b={self.b}, c={self.c})"
class TypingTypedDict(typing.TypedDict):
a: int
b: int
c: int
class TestDataObjects(unittest.TestCase):
def test_set_attributes(self):
ob = lt.DataObject()
ob.z = 200
ob.a = 100
with self.subTest("test DataObject attribute setting"):
self.assertEqual([('a', 100), ('z', 200)], sorted(ob.__dict__.items()))
# test semi-immutability (can't overwrite existing attributes)
with self.subTest("test DataObject write-once (semi-immutability)"):
with self.assertRaises(AttributeError):
ob.a = 101
# equality tests
with self.subTest("test DataObject equality"):
ob2 = lt.DataObject(**{'a': 100, 'z': 200})
self.assertEqual(ob2, ob)
with self.subTest("test DataObject inequality"):
ob2.b = 'blah'
self.assertNotEqual(ob, ob2)
with self.subTest("test DataObject equality after updates"):
del ob2.b
self.assertEqual(ob2, ob)
with self.subTest("test DataObject KeyError"):
del ob2.a
del ob2.z
with self.assertRaises(KeyError):
ob2['a']
ob2['a'] = 10
ob2['a']
with self.subTest("test DataObject KeyError (2)"):
with self.assertRaises(KeyError):
ob2['a'] = 10
with self.subTest("test DataObject repr"):
self.assertEqual("{'a': 10}", repr(ob2))
class TestTableTypes(unittest.TestCase):
def test_types(self):
# check that Table and Index are recognized as Sequence and Mapping types
with self.subTest("check that Table is recognized as Sequence type"):
t = lt.Table()
self.assertTrue(isinstance(t, lt.Sequence))
with self.subTest("check that Index is recognized as Mapping type"):
t.create_index("x")
self.assertTrue(isinstance(t.get_index('x'), lt.Mapping))
# make sure get_index returns a read-only access to the underlying index
with self.subTest("check that get_index returns a read-only access to the underlying index"):
with self.assertRaises(lt.ReadonlyIndexAccessError):
t.get_index("x")['a'] = 100
def announce_test(fn):
def _inner(*args):
print("\n" + "-" * 50)
print(f"{type(args[0]).__name__}.{fn.__name__}")
return fn(*args)
return _inner
def make_test_class(*classes):
class_name = "_".join(c.__name__ for c in classes)
if not issubclass(classes[0], unittest.TestCase):
cls = type(class_name, (unittest.TestCase, *classes), {})
else:
cls = type(class_name, tuple(classes), {})
for attr in dir(cls):
attrvalue = getattr(cls, attr)
if attr.startswith("test_") and callable(attrvalue):
setattr(cls, attr, announce_test(attrvalue))
globals()[cls.__name__] = cls
def make_test_classes(cls):
"""
Test class decorator, to auto-generate test classes for all the various supported
Table content types.
Only valid for classes using simple record rows with fields 'a', 'b' and 'c'.
"""
make_test_class(cls, UsingDataObjects)
make_test_class(cls, UsingNamedtuples)
make_test_class(cls, UsingTypingNamedTuple)
make_test_class(cls, UsingSlottedObjects)
if SlottedWithDict is not None:
make_test_class(cls, UsingSlottedWithDictObjects)
make_test_class(cls, UsingSimpleNamespace)
if dataclasses is not None:
make_test_class(cls, UsingDataclasses)
if pydantic is not None:
make_test_class(cls, UsingPydanticModel)
make_test_class(cls, UsingPydanticImmutableModel)
make_test_class(cls, UsingPydanticORMModel)
if attr is not None:
make_test_class(cls, UsingAttrClass)
if traitlets is not None:
make_test_class(cls, UsingTraitletsClass)
make_test_class(cls, UsingTypingTypedDict)
class AbstractContentTypeFactory:
"""
Base class for all Table-content definition classes.
Each subclass needs only to define the following class attriutes
- data_object_type: (type) type for constructing test content records for Tables
- storage_supports_add_field: (bool) flag indicating whether data_object_type permits adding attributes
- storage_is_mutable: (bool) flag indicating whether data_object_type records are mutable
"""
data_object_type: Optional[type] = None
storage_supports_add_field = True
storage_is_mutable = True
@classmethod
def make_data_object(cls, a, b, c):
return cls.data_object_type(a=a, b=b, c=c)
class UsingDataObjects(AbstractContentTypeFactory):
data_object_type = lt.DataObject
storage_is_mutable = False
class UsingNamedtuples(AbstractContentTypeFactory):
data_object_type = DataTuple
storage_supports_add_field = False
storage_is_mutable = False
class UsingSlottedObjects(AbstractContentTypeFactory):
data_object_type = Slotted
storage_supports_add_field = False
if SlottedWithDict is not None:
class UsingSlottedWithDictObjects(AbstractContentTypeFactory):
data_object_type = SlottedWithDict
storage_supports_add_field = False
else:
UsingSlottedWithDictObjects = AbstractContentTypeFactory
class UsingSimpleNamespace(AbstractContentTypeFactory):
data_object_type = SimpleNamespace
if dataclasses is not None:
class UsingDataclasses(AbstractContentTypeFactory):
data_object_type = DataDataclass
else:
UsingDataclasses = AbstractContentTypeFactory
if pydantic is not None:
class UsingPydanticModel(AbstractContentTypeFactory):
data_object_type = DataPydanticModel
storage_supports_add_field = False
class UsingPydanticImmutableModel(AbstractContentTypeFactory):
data_object_type = DataPydanticImmutableModel
storage_supports_add_field = False
storage_is_mutable = False
class UsingPydanticORMModel(AbstractContentTypeFactory):
data_object_type = DataPydanticORMModel
storage_supports_add_field = False
else:
UsingPydanticModel = AbstractContentTypeFactory
UsingPydanticImmutableModel = AbstractContentTypeFactory
UsingPydanticORMModel = AbstractContentTypeFactory
if attr is not None:
class UsingAttrClass(AbstractContentTypeFactory):
data_object_type = AttrClass
else:
UsingAttrClass = AbstractContentTypeFactory
if traitlets is not None:
class UsingTraitletsClass(AbstractContentTypeFactory):
data_object_type = TraitletsClass
else:
UsingTraitletsClass = AbstractContentTypeFactory
class UsingTypingNamedTuple(AbstractContentTypeFactory):
data_object_type = TypingNamedTuple
storage_supports_add_field = False
storage_is_mutable = False
class UsingTypingTypedDict(AbstractContentTypeFactory):
data_object_type = TypingTypedDict
@classmethod
def make_data_object(cls, a, b, c):
return SimpleNamespace(a=a, b=b, c=c)
def load_table(table, rec_factory_fn, table_size):
test_size = table_size
table.insert_many(
rec_factory_fn(aa, bb, cc)
for aa, bb, cc in itertools.product(range(test_size), repeat=3)
)
def make_test_table(rec_factory_fn, table_size):
table = lt.Table()
load_table(table, rec_factory_fn, table_size)
return table
def make_dataobject_from_ob(rec):
return SimpleNamespace(**{k: getattr(rec, k) for k in lt._object_attrnames(rec)})
class TableTypeTests(unittest.TestCase):
"""
Tests on the Table type itself.
"""
def test_types(self):
from collections.abc import (Callable, Container, Iterable, Collection, Mapping, Reversible, Sequence, Sized)
tbl = lt.Table()
tbl.create_index("idx")
for superclass in (Callable, Sized, Iterable, Container, Collection, Reversible, Sequence):
with self.subTest(superclass=superclass):
print(superclass.__name__)
self.assertTrue(isinstance(tbl, superclass))
with self.subTest():
print("isinstance(_ObjIndex, Mapping)")
self.assertTrue(isinstance(tbl._indexes["idx"], Mapping))
with self.subTest():
print("isinstance(_ObjIndexWrapper, Mapping)")
self.assertTrue(isinstance(tbl.by.idx, Mapping))
@make_test_classes
class TableCreateTests:
"""
Tests for creation of new Tables.
"""
def test_inserts(self):
table = lt.Table()
table.insert(self.make_data_object(1, 2, 3))
table.insert(self.make_data_object(4, 5, 6))
table.create_index('a', unique=True)
self.assertEqual(self.make_data_object(4, 5, 6), table.by.a[4])
with self.assertRaises(KeyError):
table.insert(self.make_data_object(4, 1, 0))
with self.assertRaises(KeyError):
table.insert(self.make_data_object(None, 1, 0))
table.drop_index('a')
table.insert(self.make_data_object(4, 1, 0))
with self.assertRaises(KeyError):
table.create_index('a', unique=True)
def test_insert_dicts(self):
table = lt.Table()
table.insert({"a": 1, "b": 2, "c": 3})
table.insert({"a": 4, "b": 5, "c": 6})
table.create_index('a', unique=True)
rec0, rec1 = table
self.assertEqual({"a": 1, "b": 2, "c": 3}, vars(rec0))
self.assertEqual(lt.default_row_class, type(rec0))
self.assertEqual(1, rec0.a)
# insert a nested dict
table.clear()
table.insert({"a": 1, "b": 2, "c": 3, "d": {"x": 100, "y": 200}})
table.insert({"a": 4, "b": 5, "c": 6, "d": {"x": 101, "y": 201}})
rec0, rec1 = table
self.assertEqual(100, rec0.d.x)
self.assertEqual(101, rec1.d.x)
def test_where_equals(self):
test_size = 10
table = make_test_table(self.make_data_object, test_size)
self.assertEqual(test_size*test_size, len(table.where(a=5)))
self.assertEqual(0, len(table.where(a=-1)))
def test_where_equals_none(self):
test_size = 10
table = make_test_table(self.make_data_object, test_size)
self.assertEqual(0, len(table.where(a=5, b=test_size)))
def test_where_equals_with_index(self):
test_size = 10
table = make_test_table(self.make_data_object, test_size)
table.create_index('a')
self.assertEqual(test_size*test_size, len(table.where(a=5)))
self.assertEqual(0, len(table.where(a=-1)))
def test_where_range(self):
test_size = 10
table = make_test_table(self.make_data_object, test_size)
self.assertEqual(test_size*test_size, len(table.where(lambda rec: rec.a == rec.b)))
def test_where_comparator(self):
test_size = 10
table = make_test_table(self.make_data_object, test_size)
self.assertEqual(test_size*test_size*4, len(table.where(a=lt.Table.lt(4))))
self.assertEqual(test_size*test_size*(4+1), len(table.where(a=lt.Table.le(4))))
self.assertEqual(test_size*test_size*(test_size-4-1), len(table.where(a=lt.Table.gt(4))))
self.assertEqual(test_size*test_size*(test_size-4), len(table.where(a=lt.Table.ge(4))))
self.assertEqual(test_size*test_size*(test_size-1), len(table.where(a=lt.Table.ne(4))))
self.assertEqual(test_size*test_size, len(table.where(a=lt.Table.eq(4))))
self.assertEqual(test_size, len(table.where(a=lt.Table.eq(4), b=lt.Table.eq(4))))
self.assertEqual(test_size*test_size*4, len(table.where(a=lt.Table.between(3, 8))))
self.assertEqual(test_size*test_size*4, len(table.where(a=lt.Table.within(2, 5))))
self.assertEqual(test_size*test_size*3, len(table.where(a=lt.Table.in_range(2, 5))))
self.assertEqual(0, len(table.where(a=lt.Table.between(3, 3))))
self.assertEqual(test_size*test_size, len(table.where(a=lt.Table.within(3, 3))))
self.assertEqual(0, len(table.where(a=lt.Table.in_range(3, 3))))
self.assertEqual(test_size*test_size*4, len(table.where(a=lt.Table.is_in([2, 4, 6, 8]))))
self.assertEqual(0, len(table.where(a=lt.Table.is_in([]))))
self.assertEqual(test_size*test_size*(test_size-4), len(table.where(a=lt.Table.not_in([2, 4, 6, 8]))))
self.assertEqual(test_size*test_size*test_size, len(table.where(a=lt.Table.not_in([]))))
# add a record containing a None value to test is_none and is_not_none comparators
table.insert(self.make_data_object(a=1, b=2, c=None))
self.assertEqual(1, len(table.where(c=lt.Table.is_none())))
self.assertEqual(test_size*test_size*test_size, len(table.where(c=lt.Table.is_not_none())))
# add a record containing a missing value to test is_null and is_not_null comparators
table.insert(self.make_data_object(a=1, b=2, c=""))
self.assertEqual(2, len(table.where(c=lt.Table.is_null())))
self.assertEqual(test_size * test_size * test_size, len(table.where(c=lt.Table.is_not_null())))
try:
table.insert(self.make_data_object(a=1, b=2))
except TypeError:
# not all data object types being tested support missing attributes
pass
else:
self.assertEqual(3, len(table.where(c=lt.Table.is_null())))
self.assertEqual(test_size * test_size * test_size, len(table.where(c=lt.Table.is_not_null())))
def test_where_str_comparator(self):
unicode_numbers = lt.Table().csv_import(textwrap.dedent("""\
name,code_value,numeric_value
ROMAN NUMERAL ONE,8544,1
ROMAN NUMERAL TWO,8545,2
ROMAN NUMERAL THREE,8546,3
ROMAN NUMERAL FOUR,8547,4
ROMAN NUMERAL FIVE,8548,5
ROMAN NUMERAL SIX,8549,6
ROMAN NUMERAL SEVEN,8550,7
ROMAN NUMERAL EIGHT,8551,8
ROMAN NUMERAL NINE,8552,9
ROMAN NUMERAL TEN,8553,10
SUPERSCRIPT TWO,178,2
SUPERSCRIPT THREE,179,3
SUPERSCRIPT ONE,185,1
SUPERSCRIPT ZERO,8304,0
SUPERSCRIPT FOUR,8308,4
SUPERSCRIPT FIVE,8309,5
SUPERSCRIPT SIX,8310,6
SUPERSCRIPT SEVEN,8311,7
SUPERSCRIPT EIGHT,8312,8
SUPERSCRIPT NINE,8313,9
CIRCLED DIGIT ONE,9312,1
CIRCLED DIGIT TWO,9313,2
CIRCLED DIGIT THREE,9314,3
CIRCLED DIGIT FOUR,9315,4
CIRCLED DIGIT FIVE,9316,5
CIRCLED DIGIT SIX,9317,6
CIRCLED DIGIT SEVEN,9318,7
CIRCLED DIGIT EIGHT,9319,8
CIRCLED DIGIT NINE,9320,9
CIRCLED DIGIT ZERO,9450,0
"""))
ones = unicode_numbers.where(name=lt.Table.endswith("ONE"))
self.assertEqual(3, len(ones))
supers = unicode_numbers.where(name=lt.Table.startswith("SUPERSCRIPT"))
self.assertEqual(10, len(supers))
# import re
# sevens = unicode_numbers.where(lambda rec: re.compile(r".*SEVEN$").match(rec.name))
sevens = unicode_numbers.where(name=lt.Table.re_match(r".*SEVEN$"))
self.assertEqual(3, len(sevens))
# make names all title case
unicode_numbers.add_field("name", lambda rec: rec.name.title())
# use regex with re flag
import re
circled = unicode_numbers.where(name=lt.Table.re_match(r"circled", flags=re.I))
self.assertEqual(10, len(circled))
def test_where_attr_function(self):
test_size = 8
table = make_test_table(self.make_data_object, test_size)
def is_odd(x):
return bool(x % 2)
self.assertEqual(test_size*test_size*test_size//2, len(table.where(a=is_odd)))
def test_get_slice(self):
test_size = 10
table = make_test_table(self.make_data_object, test_size)
subtable = table[0::test_size]
self.assertEqual(test_size * test_size, len(subtable))
def test_indexing(self):
chars = "ABCDEFGHIJKLMNOPQRSTUVWXYZ"
make_rec = lambda aa, bb, cc: self.make_data_object(chars[aa], chars[bb], chars[cc])
test_size = 10
table = make_test_table(make_rec, test_size)
table.create_index('a')
self.assertTrue('A' in table.by.a)
self.assertTrue('AA' not in table.by.a)
self.assertEqual(test_size * test_size, len(table.by.a['B']))
self.assertTrue(isinstance(table.by.a['B'], lt.Table))
with self.assertRaises(AttributeError):
table.by.z
self.assertEqual(test_size, len(table.by.a.keys()))
def test_unique_indexing(self):
chars = "ABCDEFGHIJKLMNOPQRSTUVWXYZ"
make_unique_key = lambda *args: ''.join(chars[arg] for arg in args)
make_rec = lambda aa, bb, cc: self.make_data_object(make_unique_key(aa, bb, cc), chars[bb], chars[cc])
test_size = 10
table = make_test_table(make_rec, test_size)("Table_1")
table.create_index('a', unique=True)
rec_type = type(self.make_data_object(0, 0, 0))
self.assertTrue('AAA' in table.by.a)
self.assertTrue('AA' not in table.by.a)
self.assertTrue(isinstance(table.by.a['BAA'], rec_type))
with self.assertRaises(KeyError):
table.insert(self.make_data_object(None, None, None))
# create duplicate index
with self.assertRaises(ValueError):
table.create_index('a', unique=True, accept_none=True)
# create unique index that allows None values
table.drop_index('a')
table.create_index('a', unique=True, accept_none=True)
table.insert(self.make_data_object(None, None, 'A'))
str_none_compare = lambda x: x if isinstance(x, str) else chr(255)*100
self.assertEqual(sorted(table.by.a.keys(), key=str_none_compare),
sorted(table.all.a, key=str_none_compare))
# now drop index and recreate not permitting None, should raise exception
table.drop_index('a')
with self.assertRaises(KeyError):
table.create_index('a', unique=True, accept_none=False)
table.create_index('a', unique=True, accept_none=True)
table.create_index('c')
import pprint
info = table.info()
pprint.pprint(info)
self.assertEqual('Table_1', info['name'])
self.assertEqual(['a', 'b', 'c'], list(sorted(info['fields'])))
self.assertEqual([('a', True), ('c', False)], list(sorted(info['indexes'])))
self.assertEqual(1001, info['len'])
def test_unique_index_creation(self):
table = lt.Table()
table.insert({"a": 1, "b": 2, "c": 3})
table.insert({"a": 4, "b": 5, "c": 6})
table.create_index("a", unique=True)
table.create_index("b")
self.assertIsInstance(table.by.a, lt._UniqueObjIndexWrapper)
self.assertIsInstance(table.by.a, lt._ObjIndexWrapper)
self.assertNotIsInstance(table.by.b, lt._UniqueObjIndexWrapper)
self.assertIsInstance(table.by.b, lt._ObjIndexWrapper)
def test_chained_indexing(self):
chars = "ABCDEFGHIJKLMNOPQRSTUVWXYZ"
make_rec = lambda aa, bb, cc: self.make_data_object(chars[aa % len(chars)],
chars[bb % len(chars)],
chars[cc % len(chars)])
test_size = 10
table = make_test_table(make_rec, test_size)
table.create_index('a')
table.create_index('b')
table.create_index('c')
chained_table = table.by.b['A'].by.c['C']
for rec in chained_table:
print(rec)
self.assertEqual(test_size, len(chained_table))
def test_parse_datetime_transform(self):
import datetime
data = textwrap.dedent("""\
a,b,c
2001-01-01 00:34:56,A,100
2001-01-02 01:34:56,B,101
2001-02-30 02:34:56,C,102
,D,103
""")
test_kwargs = [
{'empty': '', 'on_error': None},
{'empty': 'N/A', 'on_error': datetime.datetime.min},
{'empty': datetime.datetime.min, 'on_error': ''},
]
for kwargs in test_kwargs:
tbl = lt.Table().csv_import(data,
transforms={'a': lt.Table.parse_datetime('%Y-%m-%d %H:%M:%S',
**kwargs)})
print([str(a) for a in tbl.all.a])
with self.subTest("test Table.parse_date_time errors", **kwargs):
self.assertEqual(
[kwargs["on_error"], kwargs["empty"]],
list(tbl.all.a)[-2:]
)
with self.subTest("test Table.parse_date_time valid", **kwargs):
self.assertEqual(
[datetime.datetime(2001, 1, 1, 0, 34, 56),
datetime.datetime(2001, 1, 2, 1, 34, 56)],
list(tbl.all.a)[:2]
)
def test_parse_date_transform(self):
import datetime
data = textwrap.dedent("""\
a,b,c
2001-01-01 00:34:56,A,100
2001-01-02 01:34:56,B,101
2001-02-30 02:34:56,C,102
,D,103
""")
test_kwargs = [
{'empty': '', 'on_error': None},
{'empty': 'N/A', 'on_error': datetime.date.min},
{'empty': datetime.date.min, 'on_error': ''},
]
for kwargs in test_kwargs:
tbl = lt.Table().csv_import(data,
transforms={'a': lt.Table.parse_date('%Y-%m-%d %H:%M:%S',
**kwargs)})
print([str(a) for a in tbl.all.a])
with self.subTest("test Table.parse_date_time errors", **kwargs):
self.assertEqual(
[kwargs["on_error"], kwargs["empty"]],
list(tbl.all.a)[-2:]
)
with self.subTest("test Table.parse_date_time valid", **kwargs):
self.assertEqual(
[datetime.date(2001, 1, 1),
datetime.date(2001, 1, 2)],
list(tbl.all.a)[:2]
)
def test_parse_timedelta_transform(self):
import datetime
process_data = textwrap.dedent("""\
elapsed_time,eqpt,event,lot,pieces
0:00:00,DRILL01,LotStart,PCB146,1
0:00:40,DRILL01,Tool1,PCB146,2
0:03:45,DRILL01,Tool2,PCB146,4
0:06:16,DRILL01,LotEnd,PCB146,8
""")
transforms = {'elapsed_time': lt.Table.parse_timedelta("%H:%M:%S"),
'pieces': int}
data = lt.Table(f"Process step elapsed times").csv_import(process_data, transforms=transforms)
data.create_index("elapsed_time")
_00_01_30 = datetime.timedelta(seconds=90)
self.assertEqual(3, sum(data.by.elapsed_time[:_00_01_30].all.pieces))
def test_sliced_indexing(self):
transforms = {
'pop': int,
'elev': int,
'lat': float,
'long': float,
}
us_ppl = lt.Table().csv_import("examples/us_ppl.csv",
transforms=transforms,
).select("id name elev lat long pop")
print(us_ppl.info())
us_ppl.create_index("name")
us_ppl.create_index("elev")
test = "elev < 0"
low_ppl_where = us_ppl.where(elev=lt.Table.lt(0))(test)
low_ppl_slice = us_ppl.by.elev[:0](f"{test} (sliced)")
low_ppl_slice.present()
self.assertEqual(list(low_ppl_where.all.id), list(low_ppl_slice.all.id))
test = "elev >= 1000"
hi_ppl_where = us_ppl.where(elev=lt.Table.ge(1000))(test)
hi_ppl_slice = us_ppl.by.elev[1000:](f"{test} (sliced)")
self.assertEqual(list(hi_ppl_where.all.id), list(hi_ppl_slice.all.id))
test = "0 <= elev < 100"
low_ppl_where = us_ppl.where(elev=lt.Table.ge(0)).where(elev=lt.Table.lt(100))(test)
low_ppl_slice = us_ppl.by.elev[0:100](f"{test} (sliced)")
self.assertEqual(list(low_ppl_where.all.id), list(low_ppl_slice.all.id))
a_ppl_where = us_ppl.where(name=lt.Table.ge("A")).where(name=lt.Table.lt("C"))
a_ppl_slice = us_ppl.by.name["A":"C"]
self.assertEqual(list(a_ppl_where.all.id), list(a_ppl_slice.all.id))
def test_non_integer_sliced_indexing(self):
import datetime
sales_data = textwrap.dedent("""\
date,customer,sku,qty
2000/01/01,0020,ANVIL-001,1
2000/01/01,0020,BRDSD-001,2
2000/02/15,0020,BRDSD-001,4
2000/03/31,0020,BRDSD-001,8
2000/03/31,0020,MAGNT-001,16
2000/04/01,0020,ROBOT-001,32
2000/04/15,0020,BRDSD-001,64
""")
transforms = {'date': lt.Table.parse_date("%Y/%m/%d"),
'qty': int}
sales = lt.Table().csv_import(sales_data,
transforms=transforms,)
sales.create_index("date")
jan_01 = datetime.date(2000, 1, 1)
apr_01 = datetime.date(2000, 4, 1)
first_qtr_sales = sales.by.date[jan_01: apr_01]
first_qtr_sales.present()
print(list(first_qtr_sales.all.sku))
self.assertEqual(list(first_qtr_sales.all.sku),
['ANVIL-001', 'BRDSD-001', 'BRDSD-001', 'BRDSD-001', 'MAGNT-001'],
)
self.assertEqual(31, sum(first_qtr_sales.all.qty))
# use date strings as range values
transforms = {'qty': int}
sales = lt.Table().csv_import(sales_data,
transforms=transforms,)
sales.create_index("date")
first_qtr_sales = sales.by.date["2000/01/01": "2000/04/01"]
first_qtr_sales.present()
print(list(first_qtr_sales.all.sku))
self.assertEqual(list(first_qtr_sales.all.sku),
['ANVIL-001', 'BRDSD-001', 'BRDSD-001', 'BRDSD-001', 'MAGNT-001'],
)
self.assertEqual(31, sum(first_qtr_sales.all.qty))
self.assertEqual(31, sum(sales.by.date[:"2000/04/01"].all.qty))
self.assertEqual(96, sum(sales.by.date["2000/04/01":].all.qty))
def test_index_dir(self):
chars = "ABCDEFGHIJKLMNOPQRSTUVWXYZ"
make_rec = lambda aa, bb, cc: self.make_data_object(chars[aa % len(chars)],
chars[bb % len(chars)],
chars[cc % len(chars)])
test_size = 10
table = make_test_table(make_rec, test_size)
table.create_index('a')
table.create_index('b')
dir_list = dir(table.by)
print([attr for attr in dir_list if not attr.startswith("_")])
self.assertTrue(('a' in dir_list) and ('b' in dir_list) and ('c' not in dir_list))
def test_delete_by_filter(self):
test_size = 10
table = make_test_table(self.make_data_object, test_size)
self.assertEqual(test_size*test_size, table.delete(b=5))
self.assertEqual(test_size*test_size*(test_size-1), len(table))
self.assertEqual(0, table.delete(b=-1))
self.assertEqual(0, table.delete())
def test_remove_many(self):
test_size = 10
table = make_test_table(self.make_data_object, test_size)
self.assertEqual(test_size*test_size*test_size/2, len(table.where(lambda t: t.a % 2)))
table.remove_many(table.where(lambda t: t.a % 2))
self.assertEqual(test_size*test_size*test_size/2, len(table))
table_len = len(table)
table.remove(table[1])
self.assertEqual(table_len-1, len(table))
def test_add_new_field(self):
test_size = 10
table = make_test_table(self.make_data_object, test_size)
# not all storage classes support adding new fields
if self.storage_supports_add_field:
table.add_field('d', lambda rec: rec.a+rec.b+rec.c)
table.create_index('d')
self.assertEqual(len(range(0, 27+1)), len(table.by.d.keys()))
def test_add_field_over_existing_indexed_field(self):
test_size = 2
table = make_test_table(self.make_data_object, test_size)
table.create_index('c')
if not self.storage_is_mutable:
return
table.add_field('c', lambda rec: -1)
self.assertEqual(
[rec.c for rec in table],
list(table.all.c),
"all list reads index, which is not rebuilt by add_field",
)
self.assertEqual(
{-1},
set(table.by.c.keys()),
"index keys are not rebuilt by add_field",
)
def test_using_accessors_with_field_name_that_is_invalid_python_identifier(self):
# excerpt from https://github.com/lukes/ISO-3166-Countries-with-Regional-Codes/blob/master/all/all.csv?raw=true
data = textwrap.dedent("""\
name,alpha-2,alpha-3,country-code,iso_3166-2,region,sub-region,intermediate-region,region-code,sub-region-code,intermediate-region-code
Afghanistan,AF,AFG,004,ISO 3166-2:AF,Asia,Southern Asia,"",142,034,""
Åland Islands,AX,ALA,248,ISO 3166-2:AX,Europe,Northern Europe,"",150,154,""
Albania,AL,ALB,008,ISO 3166-2:AL,Europe,Southern Europe,"",150,039,""
Algeria,DZ,DZA,012,ISO 3166-2:DZ,Africa,Northern Africa,"",002,015,""
American Samoa,AS,ASM,016,ISO 3166-2:AS,Oceania,Polynesia,"",009,061,""
Andorra,AD,AND,020,ISO 3166-2:AD,Europe,Southern Europe,"",150,039,""
Angola,AO,AGO,024,ISO 3166-2:AO,Africa,Sub-Saharan Africa,Middle Africa,002,202,017
""")
tbl = lt.csv_import(data)
# test 'all' accessor
self.assertEqual(['Asia', 'Europe', 'Africa', 'Oceania'], list(tbl.all.region.unique))
self.assertEqual(
[
'Southern Asia',
'Northern Europe',
'Southern Europe',
'Northern Africa',
'Polynesia',
'Sub-Saharan Africa',
], list(tbl.all("sub-region").unique))
# test 'by' accessor
tbl.create_index("sub-region")
self.assertEqual(['Albania', 'Andorra'], list(tbl.by("sub-region")["Southern Europe"].all.name))
# test 'search' accessor
tbl.create_search_index("sub-region")
self.assertEqual(
['Åland Islands', 'Albania', 'Andorra'],
list(tbl.search("sub-region")("Europe").all.name)
)
def test_add_two_tables(self):
test_size = 10
t1 = make_test_table(self.make_data_object, test_size)
make_rec = lambda a,b,c: self.make_data_object(a+test_size, b, c)
t2 = make_test_table(make_rec, test_size)
self.assertEqual(test_size*test_size*test_size*2, len(t1+t2))
self.assertEqual(test_size * test_size * test_size, len(t1))
t1 += t2
self.assertEqual(test_size * test_size * test_size * 2, len(t1))
offset = test_size * test_size
t3 = t1 + (self.make_data_object(rec.a+offset, rec.b, rec.c) for rec in t2)
self.assertEqual(test_size * test_size * test_size * 3, len(t3))
def test_table_info(self):
test_size = 10
with timestamp_start_end() as timing:
t1 = make_test_table(self.make_data_object, test_size)('info_test')
t1.create_index('b')
t1_info = t1.info()
# must sort fields and indexes values, for test comparisons
t1_info['fields'].sort()
t1_info['indexes'].sort()
self.assertEqual(None, t1_info.pop("last_import"))
self.assertTrue(timing.start <= t1_info.pop("created") <= timing.end)
self.assertTrue(timing.start <= t1_info.pop("modified") <= timing.end)
self.assertEqual({'fields': ['a', 'b', 'c'],
'indexes': [('b', False)],
'len': 1000,
'name': 'info_test'},
t1_info, "invalid info results")
@make_test_classes
class TableListTests:
"""
Tests for accessing Tables as lists.
"""
def _test_init(self):
self.test_size = 3
self.t1 = make_test_table(self.make_data_object, self.test_size)
self.test_rec = self.make_data_object(1, 1, 1)