forked from simonw/sqlite-utils
-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathtest_extract.py
202 lines (186 loc) · 6.81 KB
/
test_extract.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
from sqlite_utils.db import InvalidColumns
import itertools
import pytest
@pytest.mark.parametrize("table", [None, "Species"])
@pytest.mark.parametrize("fk_column", [None, "species"])
def test_extract_single_column(fresh_db, table, fk_column):
expected_table = table or "species"
expected_fk = fk_column or "{}_id".format(expected_table)
iter_species = itertools.cycle(["Palm", "Spruce", "Mangrove", "Oak"])
fresh_db["tree"].insert_all(
(
{
"id": i,
"name": "Tree {}".format(i),
"species": next(iter_species),
"end": 1,
}
for i in range(1, 1001)
),
pk="id",
)
fresh_db["tree"].extract("species", table=table, fk_column=fk_column)
assert fresh_db["tree"].schema == (
'CREATE TABLE "tree" (\n'
" [id] INTEGER PRIMARY KEY,\n"
" [name] TEXT,\n"
" [{}] INTEGER REFERENCES [{}]([id]),\n".format(expected_fk, expected_table)
+ " [end] INTEGER\n"
+ ")"
)
assert fresh_db[expected_table].schema == (
"CREATE TABLE [{}] (\n".format(expected_table)
+ " [id] INTEGER PRIMARY KEY,\n"
" [species] TEXT\n"
")"
)
assert list(fresh_db[expected_table].rows) == [
{"id": 1, "species": "Palm"},
{"id": 2, "species": "Spruce"},
{"id": 3, "species": "Mangrove"},
{"id": 4, "species": "Oak"},
]
assert list(itertools.islice(fresh_db["tree"].rows, 0, 4)) == [
{"id": 1, "name": "Tree 1", expected_fk: 1, "end": 1},
{"id": 2, "name": "Tree 2", expected_fk: 2, "end": 1},
{"id": 3, "name": "Tree 3", expected_fk: 3, "end": 1},
{"id": 4, "name": "Tree 4", expected_fk: 4, "end": 1},
]
def test_extract_multiple_columns_with_rename(fresh_db):
iter_common = itertools.cycle(["Palm", "Spruce", "Mangrove", "Oak"])
iter_latin = itertools.cycle(["Arecaceae", "Picea", "Rhizophora", "Quercus"])
fresh_db["tree"].insert_all(
(
{
"id": i,
"name": "Tree {}".format(i),
"common_name": next(iter_common),
"latin_name": next(iter_latin),
}
for i in range(1, 1001)
),
pk="id",
)
fresh_db["tree"].extract(
["common_name", "latin_name"], rename={"common_name": "name"}
)
assert fresh_db["tree"].schema == (
'CREATE TABLE "tree" (\n'
" [id] INTEGER PRIMARY KEY,\n"
" [name] TEXT,\n"
" [common_name_latin_name_id] INTEGER REFERENCES [common_name_latin_name]([id])\n"
")"
)
assert fresh_db["common_name_latin_name"].schema == (
"CREATE TABLE [common_name_latin_name] (\n"
" [id] INTEGER PRIMARY KEY,\n"
" [name] TEXT,\n"
" [latin_name] TEXT\n"
")"
)
assert list(fresh_db["common_name_latin_name"].rows) == [
{"name": "Palm", "id": 1, "latin_name": "Arecaceae"},
{"name": "Spruce", "id": 2, "latin_name": "Picea"},
{"name": "Mangrove", "id": 3, "latin_name": "Rhizophora"},
{"name": "Oak", "id": 4, "latin_name": "Quercus"},
]
assert list(itertools.islice(fresh_db["tree"].rows, 0, 4)) == [
{"id": 1, "name": "Tree 1", "common_name_latin_name_id": 1},
{"id": 2, "name": "Tree 2", "common_name_latin_name_id": 2},
{"id": 3, "name": "Tree 3", "common_name_latin_name_id": 3},
{"id": 4, "name": "Tree 4", "common_name_latin_name_id": 4},
]
def test_extract_invalid_columns(fresh_db):
fresh_db["tree"].insert(
{
"id": 1,
"name": "Tree 1",
"common_name": "Palm",
"latin_name": "Arecaceae",
},
pk="id",
)
with pytest.raises(InvalidColumns):
fresh_db["tree"].extract(["bad_column"])
def test_extract_rowid_table(fresh_db):
fresh_db["tree"].insert(
{
"name": "Tree 1",
"common_name": "Palm",
"latin_name": "Arecaceae",
}
)
fresh_db["tree"].extract(["common_name", "latin_name"])
assert fresh_db["tree"].schema == (
'CREATE TABLE "tree" (\n'
" [name] TEXT,\n"
" [common_name_latin_name_id] INTEGER REFERENCES [common_name_latin_name]([id])\n"
")"
)
assert (
fresh_db.execute(
"""
select
tree.name,
common_name_latin_name.common_name,
common_name_latin_name.latin_name
from tree
join common_name_latin_name
on tree.common_name_latin_name_id = common_name_latin_name.id
"""
).fetchall()
== [("Tree 1", "Palm", "Arecaceae")]
)
def test_reuse_lookup_table(fresh_db):
fresh_db["species"].insert({"id": 1, "name": "Wolf"}, pk="id")
fresh_db["sightings"].insert({"id": 10, "species": "Wolf"}, pk="id")
fresh_db["individuals"].insert(
{"id": 10, "name": "Terriana", "species": "Fox"}, pk="id"
)
fresh_db["sightings"].extract("species", rename={"species": "name"})
fresh_db["individuals"].extract("species", rename={"species": "name"})
assert fresh_db["sightings"].schema == (
'CREATE TABLE "sightings" (\n'
" [id] INTEGER PRIMARY KEY,\n"
" [species_id] INTEGER REFERENCES [species]([id])\n"
")"
)
assert fresh_db["individuals"].schema == (
'CREATE TABLE "individuals" (\n'
" [id] INTEGER PRIMARY KEY,\n"
" [name] TEXT,\n"
" [species_id] INTEGER REFERENCES [species]([id])\n"
")"
)
assert list(fresh_db["species"].rows) == [
{"id": 1, "name": "Wolf"},
{"id": 2, "name": "Fox"},
]
def test_extract_error_on_incompatible_existing_lookup_table(fresh_db):
fresh_db["species"].insert({"id": 1})
fresh_db["tree"].insert({"name": "Tree 1", "common_name": "Palm"})
with pytest.raises(InvalidColumns):
fresh_db["tree"].extract("common_name", table="species")
# Try again with incompatible existing column type
fresh_db["species2"].insert({"id": 1, "common_name": 3.5})
with pytest.raises(InvalidColumns):
fresh_db["tree"].extract("common_name", table="species2")
def test_extract_works_with_null_values(fresh_db):
fresh_db["listens"].insert_all(
[
{"id": 1, "track_title": "foo", "album_title": "bar"},
{"id": 2, "track_title": "baz", "album_title": None},
],
pk="id",
)
fresh_db["listens"].extract(
columns=["album_title"], table="albums", fk_column="album_id"
)
assert list(fresh_db["listens"].rows) == [
{"id": 1, "track_title": "foo", "album_id": 1},
{"id": 2, "track_title": "baz", "album_id": 2},
]
assert list(fresh_db["albums"].rows) == [
{"id": 1, "album_title": "bar"},
{"id": 2, "album_title": None},
]