/
test_extract.py
173 lines (159 loc) · 6.03 KB
/
test_extract.py
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from sqlite_utils.db import Index, 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,\n".format(expected_fk)
+ " [end] INTEGER,\n"
+ " FOREIGN KEY({}) REFERENCES {}(id)\n".format(expected_fk, expected_table)
+ ")"
)
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,\n"
" FOREIGN KEY(common_name_latin_name_id) 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'
" [rowid] INTEGER PRIMARY KEY,\n"
" [name] TEXT,\n"
" [common_name_latin_name_id] INTEGER,\n"
" FOREIGN KEY(common_name_latin_name_id) REFERENCES common_name_latin_name(id)\n"
")"
)
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,\n"
" FOREIGN KEY(species_id) REFERENCES species(id)\n"
")"
)
assert fresh_db["individuals"].schema == (
'CREATE TABLE "individuals" (\n'
" [id] INTEGER PRIMARY KEY,\n"
" [name] TEXT,\n"
" [species_id] INTEGER,\n"
" FOREIGN KEY(species_id) 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")