from sqlite_utils.db import ( Index, Database, DescIndex, AlterError, NoObviousTable, OperationalError, ForeignKey, Table, View, ) from sqlite_utils.utils import hash_record, sqlite3 import collections import datetime import decimal import json import pathlib import pytest import uuid from .utils import collapse_whitespace try: import pandas as pd # type: ignore except ImportError: pd = None # type: ignore def test_create_table(fresh_db): assert [] == fresh_db.table_names() table = fresh_db.create_table( "test_table", { "text_col": str, "float_col": float, "int_col": int, "bool_col": bool, "bytes_col": bytes, "datetime_col": datetime.datetime, }, ) assert ["test_table"] == fresh_db.table_names() assert [ {"name": "text_col", "type": "TEXT"}, {"name": "float_col", "type": "FLOAT"}, {"name": "int_col", "type": "INTEGER"}, {"name": "bool_col", "type": "INTEGER"}, {"name": "bytes_col", "type": "BLOB"}, {"name": "datetime_col", "type": "TEXT"}, ] == [{"name": col.name, "type": col.type} for col in table.columns] assert ( "CREATE TABLE [test_table] (\n" " [text_col] TEXT,\n" " [float_col] FLOAT,\n" " [int_col] INTEGER,\n" " [bool_col] INTEGER,\n" " [bytes_col] BLOB,\n" " [datetime_col] TEXT\n" ")" ) == table.schema def test_create_table_compound_primary_key(fresh_db): table = fresh_db.create_table( "test_table", {"id1": str, "id2": str, "value": int}, pk=("id1", "id2") ) assert ( "CREATE TABLE [test_table] (\n" " [id1] TEXT,\n" " [id2] TEXT,\n" " [value] INTEGER,\n" " PRIMARY KEY ([id1], [id2])\n" ")" ) == table.schema assert ["id1", "id2"] == table.pks @pytest.mark.parametrize("pk", ("id", ["id"])) def test_create_table_with_single_primary_key(fresh_db, pk): fresh_db["foo"].insert({"id": 1}, pk=pk) assert ( fresh_db["foo"].schema == "CREATE TABLE [foo] (\n [id] INTEGER PRIMARY KEY\n)" ) def test_create_table_with_invalid_column_characters(fresh_db): with pytest.raises(AssertionError): fresh_db.create_table("players", {"name[foo]": str}) def test_create_table_with_defaults(fresh_db): table = fresh_db.create_table( "players", {"name": str, "score": int}, defaults={"score": 1, "name": "bob''bob"}, ) assert ["players"] == fresh_db.table_names() assert [{"name": "name", "type": "TEXT"}, {"name": "score", "type": "INTEGER"}] == [ {"name": col.name, "type": col.type} for col in table.columns ] assert ( "CREATE TABLE [players] (\n [name] TEXT DEFAULT 'bob''''bob',\n [score] INTEGER DEFAULT 1\n)" ) == table.schema def test_create_table_with_bad_not_null(fresh_db): with pytest.raises(AssertionError): fresh_db.create_table( "players", {"name": str, "score": int}, not_null={"mouse"} ) def test_create_table_with_not_null(fresh_db): table = fresh_db.create_table( "players", {"name": str, "score": int}, not_null={"name", "score"}, defaults={"score": 3}, ) assert ["players"] == fresh_db.table_names() assert [{"name": "name", "type": "TEXT"}, {"name": "score", "type": "INTEGER"}] == [ {"name": col.name, "type": col.type} for col in table.columns ] assert ( "CREATE TABLE [players] (\n [name] TEXT NOT NULL,\n [score] INTEGER NOT NULL DEFAULT 3\n)" ) == table.schema @pytest.mark.parametrize( "example,expected_columns", ( ( {"name": "Ravi", "age": 63}, [{"name": "name", "type": "TEXT"}, {"name": "age", "type": "INTEGER"}], ), ( {"create": "Reserved word", "table": "Another"}, [{"name": "create", "type": "TEXT"}, {"name": "table", "type": "TEXT"}], ), ({"day": datetime.time(11, 0)}, [{"name": "day", "type": "TEXT"}]), ({"decimal": decimal.Decimal("1.2")}, [{"name": "decimal", "type": "FLOAT"}]), ( {"memoryview": memoryview(b"hello")}, [{"name": "memoryview", "type": "BLOB"}], ), ({"uuid": uuid.uuid4()}, [{"name": "uuid", "type": "TEXT"}]), ({"foo[bar]": 1}, [{"name": "foo_bar_", "type": "INTEGER"}]), ), ) def test_create_table_from_example(fresh_db, example, expected_columns): people_table = fresh_db["people"] assert people_table.last_rowid is None assert people_table.last_pk is None people_table.insert(example) assert 1 == people_table.last_rowid assert 1 == people_table.last_pk assert ["people"] == fresh_db.table_names() assert expected_columns == [ {"name": col.name, "type": col.type} for col in fresh_db["people"].columns ] def test_create_table_from_example_with_compound_primary_keys(fresh_db): record = {"name": "Zhang", "group": "staff", "employee_id": 2} table = fresh_db["people"].insert(record, pk=("group", "employee_id")) assert ["group", "employee_id"] == table.pks assert record == table.get(("staff", 2)) @pytest.mark.parametrize( "method_name", ("insert", "upsert", "insert_all", "upsert_all") ) def test_create_table_with_custom_columns(fresh_db, method_name): table = fresh_db["dogs"] method = getattr(table, method_name) record = {"id": 1, "name": "Cleo", "age": "5"} if method_name.endswith("_all"): record = [record] method(record, pk="id", columns={"age": int, "weight": float}) assert ["dogs"] == fresh_db.table_names() expected_columns = [ {"name": "id", "type": "INTEGER"}, {"name": "name", "type": "TEXT"}, {"name": "age", "type": "INTEGER"}, {"name": "weight", "type": "FLOAT"}, ] assert expected_columns == [ {"name": col.name, "type": col.type} for col in table.columns ] assert [{"id": 1, "name": "Cleo", "age": 5, "weight": None}] == list(table.rows) @pytest.mark.parametrize("use_table_factory", [True, False]) def test_create_table_column_order(fresh_db, use_table_factory): row = collections.OrderedDict( ( ("zzz", "third"), ("abc", "first"), ("ccc", "second"), ("bbb", "second-to-last"), ("aaa", "last"), ) ) column_order = ("abc", "ccc", "zzz") if use_table_factory: fresh_db.table("table", column_order=column_order).insert(row) else: fresh_db["table"].insert(row, column_order=column_order) assert [ {"name": "abc", "type": "TEXT"}, {"name": "ccc", "type": "TEXT"}, {"name": "zzz", "type": "TEXT"}, {"name": "bbb", "type": "TEXT"}, {"name": "aaa", "type": "TEXT"}, ] == [{"name": col.name, "type": col.type} for col in fresh_db["table"].columns] @pytest.mark.parametrize( "foreign_key_specification,expected_exception", ( # You can specify triples, pairs, or a list of columns ((("one_id", "one", "id"), ("two_id", "two", "id")), False), ((("one_id", "one"), ("two_id", "two")), False), (("one_id", "two_id"), False), # You can also specify ForeignKey tuples: ( ( ForeignKey("m2m", "one_id", "one", "id"), ForeignKey("m2m", "two_id", "two", "id"), ), False, ), # If you specify a column that doesn't point to a table, you get an error: (("one_id", "two_id", "three_id"), NoObviousTable), # Tuples of the wrong length get an error: ((("one_id", "one", "id", "five"), ("two_id", "two", "id")), AssertionError), # Likewise a bad column: ((("one_id", "one", "id2"),), AlterError), # Or a list of dicts (({"one_id": "one"},), AssertionError), ), ) @pytest.mark.parametrize("use_table_factory", [True, False]) def test_create_table_works_for_m2m_with_only_foreign_keys( fresh_db, foreign_key_specification, expected_exception, use_table_factory ): if use_table_factory: fresh_db.table("one", pk="id").insert({"id": 1}) fresh_db.table("two", pk="id").insert({"id": 1}) else: fresh_db["one"].insert({"id": 1}, pk="id") fresh_db["two"].insert({"id": 1}, pk="id") row = {"one_id": 1, "two_id": 1} def do_it(): if use_table_factory: fresh_db.table("m2m", foreign_keys=foreign_key_specification).insert(row) else: fresh_db["m2m"].insert(row, foreign_keys=foreign_key_specification) if expected_exception: with pytest.raises(expected_exception): do_it() return else: do_it() assert [ {"name": "one_id", "type": "INTEGER"}, {"name": "two_id", "type": "INTEGER"}, ] == [{"name": col.name, "type": col.type} for col in fresh_db["m2m"].columns] assert sorted( [ {"column": "one_id", "other_table": "one", "other_column": "id"}, {"column": "two_id", "other_table": "two", "other_column": "id"}, ], key=lambda s: repr(s), ) == sorted( [ { "column": fk.column, "other_table": fk.other_table, "other_column": fk.other_column, } for fk in fresh_db["m2m"].foreign_keys ], key=lambda s: repr(s), ) def test_create_error_if_invalid_foreign_keys(fresh_db): with pytest.raises(AlterError): fresh_db["one"].insert( {"id": 1, "ref_id": 3}, pk="id", foreign_keys=(("ref_id", "bad_table", "bad_column"),), ) @pytest.mark.parametrize( "col_name,col_type,not_null_default,expected_schema", ( ("nickname", str, None, "CREATE TABLE [dogs] ( [name] TEXT , [nickname] TEXT)"), ("dob", datetime.date, None, "CREATE TABLE [dogs] ( [name] TEXT , [dob] TEXT)"), ("age", int, None, "CREATE TABLE [dogs] ( [name] TEXT , [age] INTEGER)"), ("weight", float, None, "CREATE TABLE [dogs] ( [name] TEXT , [weight] FLOAT)"), ("text", "TEXT", None, "CREATE TABLE [dogs] ( [name] TEXT , [text] TEXT)"), ( "integer", "INTEGER", None, "CREATE TABLE [dogs] ( [name] TEXT , [integer] INTEGER)", ), ("float", "FLOAT", None, "CREATE TABLE [dogs] ( [name] TEXT , [float] FLOAT)"), ("blob", "blob", None, "CREATE TABLE [dogs] ( [name] TEXT , [blob] BLOB)"), ( "default_str", None, None, "CREATE TABLE [dogs] ( [name] TEXT , [default_str] TEXT)", ), ( "nickname", str, "", "CREATE TABLE [dogs] ( [name] TEXT , [nickname] TEXT NOT NULL DEFAULT '')", ), ( "nickname", str, "dawg's dawg", "CREATE TABLE [dogs] ( [name] TEXT , [nickname] TEXT NOT NULL DEFAULT 'dawg''s dawg')", ), ), ) def test_add_column(fresh_db, col_name, col_type, not_null_default, expected_schema): fresh_db.create_table("dogs", {"name": str}) assert "CREATE TABLE [dogs] ( [name] TEXT )" == collapse_whitespace( fresh_db["dogs"].schema ) fresh_db["dogs"].add_column(col_name, col_type, not_null_default=not_null_default) assert expected_schema == collapse_whitespace(fresh_db["dogs"].schema) def test_add_foreign_key(fresh_db): fresh_db["authors"].insert_all( [{"id": 1, "name": "Sally"}, {"id": 2, "name": "Asheesh"}], pk="id" ) fresh_db["books"].insert_all( [ {"title": "Hedgehogs of the world", "author_id": 1}, {"title": "How to train your wolf", "author_id": 2}, ] ) assert [] == fresh_db["books"].foreign_keys t = fresh_db["books"].add_foreign_key("author_id", "authors", "id") # Ensure it returned self: assert isinstance(t, Table) and t.name == "books" assert [ ForeignKey( table="books", column="author_id", other_table="authors", other_column="id" ) ] == fresh_db["books"].foreign_keys def test_add_foreign_key_if_column_contains_space(fresh_db): fresh_db["authors"].insert_all([{"id": 1, "name": "Sally"}], pk="id") fresh_db["books"].insert_all( [ {"title": "Hedgehogs of the world", "author id": 1}, ] ) fresh_db["books"].add_foreign_key("author id", "authors", "id") assert fresh_db["books"].foreign_keys == [ ForeignKey( table="books", column="author id", other_table="authors", other_column="id" ) ] def test_add_foreign_key_error_if_column_does_not_exist(fresh_db): fresh_db["books"].insert( {"id": 1, "title": "Hedgehogs of the world", "author_id": 1} ) with pytest.raises(AlterError): fresh_db["books"].add_foreign_key("author2_id", "books", "id") def test_add_foreign_key_error_if_other_table_does_not_exist(fresh_db): fresh_db["books"].insert({"title": "Hedgehogs of the world", "author_id": 1}) with pytest.raises(AlterError): fresh_db["books"].add_foreign_key("author_id", "authors", "id") def test_add_foreign_key_error_if_already_exists(fresh_db): fresh_db["books"].insert({"title": "Hedgehogs of the world", "author_id": 1}) fresh_db["authors"].insert({"id": 1, "name": "Sally"}, pk="id") fresh_db["books"].add_foreign_key("author_id", "authors", "id") with pytest.raises(AlterError) as ex: fresh_db["books"].add_foreign_key("author_id", "authors", "id") assert "Foreign key already exists for author_id => authors.id" == ex.value.args[0] def test_add_foreign_key_no_error_if_exists_and_ignore_true(fresh_db): fresh_db["books"].insert({"title": "Hedgehogs of the world", "author_id": 1}) fresh_db["authors"].insert({"id": 1, "name": "Sally"}, pk="id") fresh_db["books"].add_foreign_key("author_id", "authors", "id") fresh_db["books"].add_foreign_key("author_id", "authors", "id", ignore=True) def test_add_foreign_keys(fresh_db): fresh_db["authors"].insert_all( [{"id": 1, "name": "Sally"}, {"id": 2, "name": "Asheesh"}], pk="id" ) fresh_db["categories"].insert_all([{"id": 1, "name": "Wildlife"}], pk="id") fresh_db["books"].insert_all( [{"title": "Hedgehogs of the world", "author_id": 1, "category_id": 1}] ) assert [] == fresh_db["books"].foreign_keys fresh_db.add_foreign_keys( [ ("books", "author_id", "authors", "id"), ("books", "category_id", "categories", "id"), ] ) assert [ ForeignKey( table="books", column="author_id", other_table="authors", other_column="id" ), ForeignKey( table="books", column="category_id", other_table="categories", other_column="id", ), ] == sorted(fresh_db["books"].foreign_keys) def test_add_column_foreign_key(fresh_db): fresh_db.create_table("dogs", {"name": str}) fresh_db.create_table("breeds", {"name": str}) fresh_db["dogs"].add_column("breed_id", fk="breeds") assert ( "CREATE TABLE [dogs] ( [name] TEXT , [breed_id] INTEGER, FOREIGN KEY([breed_id]) REFERENCES [breeds]([rowid]) )" == collapse_whitespace(fresh_db["dogs"].schema) ) # And again with an explicit primary key column fresh_db.create_table("subbreeds", {"name": str, "primkey": str}, pk="primkey") fresh_db["dogs"].add_column("subbreed_id", fk="subbreeds") assert ( "CREATE TABLE [dogs] ( [name] TEXT , [breed_id] INTEGER, [subbreed_id] TEXT, " "FOREIGN KEY([breed_id]) REFERENCES [breeds]([rowid]), " "FOREIGN KEY([subbreed_id]) REFERENCES [subbreeds]([primkey]) )" == collapse_whitespace(fresh_db["dogs"].schema) ) def test_add_foreign_key_guess_table(fresh_db): fresh_db.create_table("dogs", {"name": str}) fresh_db.create_table("breeds", {"name": str, "id": int}, pk="id") fresh_db["dogs"].add_column("breed_id", int) fresh_db["dogs"].add_foreign_key("breed_id") assert ( "CREATE TABLE [dogs] ( [name] TEXT , [breed_id] INTEGER, FOREIGN KEY([breed_id]) REFERENCES [breeds]([id]) )" == collapse_whitespace(fresh_db["dogs"].schema) ) def test_index_foreign_keys(fresh_db): test_add_foreign_key_guess_table(fresh_db) assert [] == fresh_db["dogs"].indexes fresh_db.index_foreign_keys() assert [["breed_id"]] == [i.columns for i in fresh_db["dogs"].indexes] # Calling it a second time should do nothing fresh_db.index_foreign_keys() assert [["breed_id"]] == [i.columns for i in fresh_db["dogs"].indexes] def test_index_foreign_keys_if_index_name_is_already_used(fresh_db): # https://github.com/simonw/sqlite-utils/issues/335 test_add_foreign_key_guess_table(fresh_db) # Add index with a name that will conflict with index_foreign_keys() fresh_db["dogs"].create_index(["name"], index_name="idx_dogs_breed_id") fresh_db.index_foreign_keys() assert {(idx.name, tuple(idx.columns)) for idx in fresh_db["dogs"].indexes} == { ("idx_dogs_breed_id_2", ("breed_id",)), ("idx_dogs_breed_id", ("name",)), } @pytest.mark.parametrize( "extra_data,expected_new_columns", [ ({"species": "squirrels"}, [{"name": "species", "type": "TEXT"}]), ( {"species": "squirrels", "hats": 5}, [{"name": "species", "type": "TEXT"}, {"name": "hats", "type": "INTEGER"}], ), ( {"hats": 5, "rating": 3.5}, [{"name": "hats", "type": "INTEGER"}, {"name": "rating", "type": "FLOAT"}], ), ], ) @pytest.mark.parametrize("use_table_factory", [True, False]) def test_insert_row_alter_table( fresh_db, extra_data, expected_new_columns, use_table_factory ): table = fresh_db["books"] table.insert({"title": "Hedgehogs of the world", "author_id": 1}) assert [ {"name": "title", "type": "TEXT"}, {"name": "author_id", "type": "INTEGER"}, ] == [{"name": col.name, "type": col.type} for col in table.columns] record = {"title": "Squirrels of the world", "author_id": 2} record.update(extra_data) if use_table_factory: fresh_db.table("books", alter=True).insert(record) else: fresh_db["books"].insert(record, alter=True) assert [ {"name": "title", "type": "TEXT"}, {"name": "author_id", "type": "INTEGER"}, ] + expected_new_columns == [ {"name": col.name, "type": col.type} for col in table.columns ] def test_add_missing_columns_case_insensitive(fresh_db): table = fresh_db["foo"] table.insert({"id": 1, "name": "Cleo"}, pk="id") table.add_missing_columns([{"Name": ".", "age": 4}]) assert ( table.schema == "CREATE TABLE [foo] (\n [id] INTEGER PRIMARY KEY,\n [name] TEXT\n, [age] INTEGER)" ) @pytest.mark.parametrize("use_table_factory", [True, False]) def test_insert_replace_rows_alter_table(fresh_db, use_table_factory): first_row = {"id": 1, "title": "Hedgehogs of the world", "author_id": 1} next_rows = [ {"id": 1, "title": "Hedgehogs of the World", "species": "hedgehogs"}, {"id": 2, "title": "Squirrels of the World", "num_species": 200}, { "id": 3, "title": "Badgers of the World", "significant_continents": ["Europe", "North America"], }, ] if use_table_factory: table = fresh_db.table("books", pk="id", alter=True) table.insert(first_row) table.insert_all(next_rows, replace=True) else: table = fresh_db["books"] table.insert(first_row, pk="id") table.insert_all(next_rows, alter=True, replace=True) assert { "author_id": int, "id": int, "num_species": int, "significant_continents": str, "species": str, "title": str, } == table.columns_dict assert [ { "author_id": None, "id": 1, "num_species": None, "significant_continents": None, "species": "hedgehogs", "title": "Hedgehogs of the World", }, { "author_id": None, "id": 2, "num_species": 200, "significant_continents": None, "species": None, "title": "Squirrels of the World", }, { "author_id": None, "id": 3, "num_species": None, "significant_continents": '["Europe", "North America"]', "species": None, "title": "Badgers of the World", }, ] == list(table.rows) def test_insert_all_with_extra_columns_in_later_chunks(fresh_db): chunk = [ {"record": "Record 1"}, {"record": "Record 2"}, {"record": "Record 3"}, {"record": "Record 4", "extra": 1}, ] fresh_db["t"].insert_all(chunk, batch_size=2, alter=True) assert list(fresh_db["t"].rows) == [ {"record": "Record 1", "extra": None}, {"record": "Record 2", "extra": None}, {"record": "Record 3", "extra": None}, {"record": "Record 4", "extra": 1}, ] def test_bulk_insert_more_than_999_values(fresh_db): "Inserting 100 items with 11 columns should work" fresh_db["big"].insert_all( ( { "id": i + 1, "c2": 2, "c3": 3, "c4": 4, "c5": 5, "c6": 6, "c7": 7, "c8": 8, "c9": 9, "c10": 10, "c11": 11, } for i in range(100) ), pk="id", ) assert 100 == fresh_db["big"].count @pytest.mark.parametrize( "num_columns,should_error", ((900, False), (999, False), (1000, True)) ) def test_error_if_more_than_999_columns(fresh_db, num_columns, should_error): record = dict([("c{}".format(i), i) for i in range(num_columns)]) if should_error: with pytest.raises(AssertionError): fresh_db["big"].insert(record) else: fresh_db["big"].insert(record) def test_columns_not_in_first_record_should_not_cause_batch_to_be_too_large(fresh_db): # https://github.com/simonw/sqlite-utils/issues/145 # sqlite on homebrew and Debian/Ubuntu etc. is typically compiled with # SQLITE_MAX_VARIABLE_NUMBER set to 250,000, so we need to exceed this value to # trigger the error on these systems. THRESHOLD = 250000 batch_size = 999 extra_columns = 1 + (THRESHOLD - 1) // (batch_size - 1) records = [ {"c0": "first record"}, # one column in first record -> batch size = 999 # fill out the batch with 99 records with enough columns to exceed THRESHOLD *[ dict([("c{}".format(i), j) for i in range(extra_columns)]) for j in range(batch_size - 1) ], ] try: fresh_db["too_many_columns"].insert_all( records, alter=True, batch_size=batch_size ) except sqlite3.OperationalError: raise @pytest.mark.parametrize( "columns,index_name,expected_index", ( ( ["is good dog"], None, Index( seq=0, name="idx_dogs_is good dog", unique=0, origin="c", partial=0, columns=["is good dog"], ), ), ( ["is good dog", "age"], None, Index( seq=0, name="idx_dogs_is good dog_age", unique=0, origin="c", partial=0, columns=["is good dog", "age"], ), ), ( ["age"], "age_index", Index( seq=0, name="age_index", unique=0, origin="c", partial=0, columns=["age"], ), ), ), ) def test_create_index(fresh_db, columns, index_name, expected_index): dogs = fresh_db["dogs"] dogs.insert({"name": "Cleo", "twitter": "cleopaws", "age": 3, "is good dog": True}) assert [] == dogs.indexes dogs.create_index(columns, index_name) assert expected_index == dogs.indexes[0] def test_create_index_unique(fresh_db): dogs = fresh_db["dogs"] dogs.insert({"name": "Cleo", "twitter": "cleopaws", "age": 3, "is_good_dog": True}) assert [] == dogs.indexes dogs.create_index(["name"], unique=True) assert ( Index( seq=0, name="idx_dogs_name", unique=1, origin="c", partial=0, columns=["name"], ) == dogs.indexes[0] ) def test_create_index_if_not_exists(fresh_db): dogs = fresh_db["dogs"] dogs.insert({"name": "Cleo", "twitter": "cleopaws", "age": 3, "is_good_dog": True}) assert [] == dogs.indexes dogs.create_index(["name"]) assert 1 == len(dogs.indexes) with pytest.raises(Exception, match="index idx_dogs_name already exists"): dogs.create_index(["name"]) dogs.create_index(["name"], if_not_exists=True) def test_create_index_desc(fresh_db): dogs = fresh_db["dogs"] dogs.insert({"name": "Cleo", "twitter": "cleopaws", "age": 3, "is good dog": True}) assert [] == dogs.indexes dogs.create_index([DescIndex("age"), "name"]) sql = fresh_db.execute( "select sql from sqlite_master where name='idx_dogs_age_name'" ).fetchone()[0] assert sql == ( "CREATE INDEX [idx_dogs_age_name]\n" " ON [dogs] ([age] desc, [name])" ) def test_create_index_find_unique_name(fresh_db): table = fresh_db["t"] table.insert({"id": 1}) table.create_index(["id"]) # Without find_unique_name should error with pytest.raises(OperationalError, match="index idx_t_id already exists"): table.create_index(["id"]) # With find_unique_name=True it should work table.create_index(["id"], find_unique_name=True) table.create_index(["id"], find_unique_name=True) # Should have three now index_names = {idx.name for idx in table.indexes} assert index_names == {"idx_t_id", "idx_t_id_2", "idx_t_id_3"} def test_create_index_analyze(fresh_db): dogs = fresh_db["dogs"] assert "sqlite_stat1" not in fresh_db.table_names() dogs.insert({"name": "Cleo", "twitter": "cleopaws"}) dogs.create_index(["name"], analyze=True) assert "sqlite_stat1" in fresh_db.table_names() assert list(fresh_db["sqlite_stat1"].rows) == [ {"tbl": "dogs", "idx": "idx_dogs_name", "stat": "1 1"} ] @pytest.mark.parametrize( "data_structure", ( ["list with one item"], ["list with", "two items"], {"dictionary": "simple"}, {"dictionary": {"nested": "complex"}}, collections.OrderedDict( [ ("key1", {"nested": ["cømplex"]}), ("key2", "foo"), ] ), [{"list": "of"}, {"two": "dicts"}], ), ) def test_insert_dictionaries_and_lists_as_json(fresh_db, data_structure): fresh_db["test"].insert({"id": 1, "data": data_structure}, pk="id") row = fresh_db.execute("select id, data from test").fetchone() assert row[0] == 1 assert data_structure == json.loads(row[1]) def test_insert_list_nested_unicode(fresh_db): fresh_db["test"].insert( {"id": 1, "data": {"key1": {"nested": ["cømplex"]}}}, pk="id" ) row = fresh_db.execute("select id, data from test").fetchone() assert row[1] == '{"key1": {"nested": ["cømplex"]}}' def test_insert_uuid(fresh_db): uuid4 = uuid.uuid4() fresh_db["test"].insert({"uuid": uuid4}) row = list(fresh_db["test"].rows)[0] assert {"uuid"} == row.keys() assert isinstance(row["uuid"], str) assert row["uuid"] == str(uuid4) def test_insert_memoryview(fresh_db): fresh_db["test"].insert({"data": memoryview(b"hello")}) row = list(fresh_db["test"].rows)[0] assert {"data"} == row.keys() assert isinstance(row["data"], bytes) assert row["data"] == b"hello" def test_insert_thousands_using_generator(fresh_db): fresh_db["test"].insert_all( {"i": i, "word": "word_{}".format(i)} for i in range(10000) ) assert [{"name": "i", "type": "INTEGER"}, {"name": "word", "type": "TEXT"}] == [ {"name": col.name, "type": col.type} for col in fresh_db["test"].columns ] assert 10000 == fresh_db["test"].count def test_insert_thousands_raises_exception_with_extra_columns_after_first_100(fresh_db): # https://github.com/simonw/sqlite-utils/issues/139 with pytest.raises(Exception, match="table test has no column named extra"): fresh_db["test"].insert_all( [{"i": i, "word": "word_{}".format(i)} for i in range(100)] + [{"i": 101, "extra": "This extra column should cause an exception"}], ) def test_insert_thousands_adds_extra_columns_after_first_100_with_alter(fresh_db): # https://github.com/simonw/sqlite-utils/issues/139 fresh_db["test"].insert_all( [{"i": i, "word": "word_{}".format(i)} for i in range(100)] + [{"i": 101, "extra": "Should trigger ALTER"}], alter=True, ) rows = list(fresh_db.query("select * from test where i = 101")) assert rows == [{"i": 101, "word": None, "extra": "Should trigger ALTER"}] def test_insert_ignore(fresh_db): fresh_db["test"].insert({"id": 1, "bar": 2}, pk="id") # Should raise an error if we try this again with pytest.raises(Exception, match="UNIQUE constraint failed"): fresh_db["test"].insert({"id": 1, "bar": 2}, pk="id") # Using ignore=True should cause our insert to be silently ignored fresh_db["test"].insert({"id": 1, "bar": 3}, pk="id", ignore=True) # Only one row, and it should be bar=2, not bar=3 rows = list(fresh_db.query("select * from test")) assert rows == [{"id": 1, "bar": 2}] def test_insert_hash_id(fresh_db): dogs = fresh_db["dogs"] id = dogs.insert({"name": "Cleo", "twitter": "cleopaws"}, hash_id="id").last_pk assert "f501265970505d9825d8d9f590bfab3519fb20b1" == id assert 1 == dogs.count # Insert replacing a second time should not create a new row id2 = dogs.insert( {"name": "Cleo", "twitter": "cleopaws"}, hash_id="id", replace=True ).last_pk assert "f501265970505d9825d8d9f590bfab3519fb20b1" == id2 assert 1 == dogs.count @pytest.mark.parametrize("use_table_factory", [True, False]) def test_insert_hash_id_columns(fresh_db, use_table_factory): if use_table_factory: dogs = fresh_db.table("dogs", hash_id_columns=("name", "twitter")) insert_kwargs = {} else: dogs = fresh_db["dogs"] insert_kwargs = dict(hash_id_columns=("name", "twitter")) id = dogs.insert( {"name": "Cleo", "twitter": "cleopaws", "age": 5}, **insert_kwargs, ).last_pk expected_hash = hash_record({"name": "Cleo", "twitter": "cleopaws"}) assert id == expected_hash assert dogs.count == 1 # Insert replacing a second time should not create a new row id2 = dogs.insert( {"name": "Cleo", "twitter": "cleopaws", "age": 6}, **insert_kwargs, replace=True, ).last_pk assert id2 == expected_hash assert dogs.count == 1 def test_vacuum(fresh_db): fresh_db["data"].insert({"foo": "foo", "bar": "bar"}) fresh_db.vacuum() def test_works_with_pathlib_path(tmpdir): path = pathlib.Path(tmpdir / "test.db") db = Database(path) db["demo"].insert_all([{"foo": 1}]) assert 1 == db["demo"].count @pytest.mark.skipif(pd is None, reason="pandas and numpy are not installed") def test_create_table_numpy(fresh_db): df = pd.DataFrame({"col 1": range(3), "col 2": range(3)}) fresh_db["pandas"].insert_all(df.to_dict(orient="records")) assert [ {"col 1": 0, "col 2": 0}, {"col 1": 1, "col 2": 1}, {"col 1": 2, "col 2": 2}, ] == list(fresh_db["pandas"].rows) # Now try all the different types df = pd.DataFrame( { "np.int8": [-8], "np.int16": [-16], "np.int32": [-32], "np.int64": [-64], "np.uint8": [8], "np.uint16": [16], "np.uint32": [32], "np.uint64": [64], "np.float16": [16.5], "np.float32": [32.5], "np.float64": [64.5], } ) df = df.astype( { "np.int8": "int8", "np.int16": "int16", "np.int32": "int32", "np.int64": "int64", "np.uint8": "uint8", "np.uint16": "uint16", "np.uint32": "uint32", "np.uint64": "uint64", "np.float16": "float16", "np.float32": "float32", "np.float64": "float64", } ) assert [ "int8", "int16", "int32", "int64", "uint8", "uint16", "uint32", "uint64", "float16", "float32", "float64", ] == [str(t) for t in df.dtypes] fresh_db["types"].insert_all(df.to_dict(orient="records")) assert [ { "np.float16": 16.5, "np.float32": 32.5, "np.float64": 64.5, "np.int16": -16, "np.int32": -32, "np.int64": -64, "np.int8": -8, "np.uint16": 16, "np.uint32": 32, "np.uint64": 64, "np.uint8": 8, } ] == list(fresh_db["types"].rows) def test_cannot_provide_both_filename_and_memory(): with pytest.raises( AssertionError, match="Either specify a filename_or_conn or pass memory=True" ): Database("/tmp/foo.db", memory=True) def test_creates_id_column(fresh_db): last_pk = fresh_db.table("cats", pk="id").insert({"name": "barry"}).last_pk assert [{"name": "barry", "id": last_pk}] == list(fresh_db["cats"].rows) def test_drop(fresh_db): fresh_db["t"].insert({"foo": 1}) assert ["t"] == fresh_db.table_names() assert None is fresh_db["t"].drop() assert [] == fresh_db.table_names() def test_drop_view(fresh_db): fresh_db.create_view("foo_view", "select 1") assert ["foo_view"] == fresh_db.view_names() assert None is fresh_db["foo_view"].drop() assert [] == fresh_db.view_names() def test_drop_ignore(fresh_db): with pytest.raises(sqlite3.OperationalError): fresh_db["does_not_exist"].drop() fresh_db["does_not_exist"].drop(ignore=True) # Testing view is harder, we need to create it in order # to get a View object, then drop it twice fresh_db.create_view("foo_view", "select 1") view = fresh_db["foo_view"] assert isinstance(view, View) view.drop() with pytest.raises(sqlite3.OperationalError): view.drop() view.drop(ignore=True) def test_insert_all_empty_list(fresh_db): fresh_db["t"].insert({"foo": 1}) assert 1 == fresh_db["t"].count fresh_db["t"].insert_all([]) assert 1 == fresh_db["t"].count fresh_db["t"].insert_all([], replace=True) assert 1 == fresh_db["t"].count def test_insert_all_single_column(fresh_db): table = fresh_db["table"] table.insert_all([{"name": "Cleo"}], pk="name") assert [{"name": "Cleo"}] == list(table.rows) assert table.pks == ["name"] @pytest.mark.parametrize("method_name", ("insert_all", "upsert_all")) def test_insert_all_analyze(fresh_db, method_name): table = fresh_db["table"] table.insert_all([{"id": 1, "name": "Cleo"}], pk="id") assert "sqlite_stat1" not in fresh_db.table_names() table.create_index(["name"], analyze=True) assert list(fresh_db["sqlite_stat1"].rows) == [ {"tbl": "table", "idx": "idx_table_name", "stat": "1 1"} ] method = getattr(table, method_name) method([{"id": 2, "name": "Suna"}], pk="id", analyze=True) assert "sqlite_stat1" in fresh_db.table_names() assert list(fresh_db["sqlite_stat1"].rows) == [ {"tbl": "table", "idx": "idx_table_name", "stat": "2 1"} ] def test_create_with_a_null_column(fresh_db): record = {"name": "Name", "description": None} fresh_db["t"].insert(record) assert [record] == list(fresh_db["t"].rows) def test_create_with_nested_bytes(fresh_db): record = {"id": 1, "data": {"foo": b"bytes"}} fresh_db["t"].insert(record) assert [{"id": 1, "data": '{"foo": "b\'bytes\'"}'}] == list(fresh_db["t"].rows) @pytest.mark.parametrize( "input,expected", [("hello", "'hello'"), ("hello'there'", "'hello''there'''")] ) def test_quote(fresh_db, input, expected): assert fresh_db.quote(input) == expected @pytest.mark.parametrize( "columns,expected_sql_middle", ( ( {"id": int}, "[id] INTEGER", ), ( {"col": dict}, "[col] TEXT", ), ( {"col": tuple}, "[col] TEXT", ), ( {"col": list}, "[col] TEXT", ), ), ) def test_create_table_sql(fresh_db, columns, expected_sql_middle): sql = fresh_db.create_table_sql("t", columns) middle = sql.split("(")[1].split(")")[0].strip() assert middle == expected_sql_middle def test_create(fresh_db): fresh_db["t"].create( { "id": int, "text": str, "float": float, "integer": int, "bytes": bytes, }, pk="id", column_order=("id", "float"), not_null=("float", "integer"), defaults={"integer": 0}, ) assert fresh_db["t"].schema == ( "CREATE TABLE [t] (\n" " [id] INTEGER PRIMARY KEY,\n" " [float] FLOAT NOT NULL,\n" " [text] TEXT,\n" " [integer] INTEGER NOT NULL DEFAULT 0,\n" " [bytes] BLOB\n" ")" ) def test_create_if_not_exists(fresh_db): fresh_db["t"].create({"id": int}) # This should error with pytest.raises(sqlite3.OperationalError): fresh_db["t"].create({"id": int}) # This should not fresh_db["t"].create({"id": int}, if_not_exists=True) def test_create_if_no_columns(fresh_db): with pytest.raises(AssertionError) as error: fresh_db["t"].create({}) assert error.value.args[0] == "Tables must have at least one column" @pytest.mark.parametrize( "cols,kwargs,expected_schema,should_transform", ( # Change nothing ( {"id": int, "name": str}, {"pk": "id"}, "CREATE TABLE [demo] (\n [id] INTEGER PRIMARY KEY,\n [name] TEXT\n)", False, ), # Drop name column, remove primary key ({"id": int}, {}, 'CREATE TABLE "demo" (\n [id] INTEGER\n)', True), # Add a new column ( {"id": int, "name": str, "age": int}, {"pk": "id"}, 'CREATE TABLE "demo" (\n [id] INTEGER PRIMARY KEY,\n [name] TEXT,\n [age] INTEGER\n)', True, ), # Change a column type ( {"id": int, "name": bytes}, {"pk": "id"}, 'CREATE TABLE "demo" (\n [id] INTEGER PRIMARY KEY,\n [name] BLOB\n)', True, ), # Change the primary key ( {"id": int, "name": str}, {"pk": "name"}, 'CREATE TABLE "demo" (\n [id] INTEGER,\n [name] TEXT PRIMARY KEY\n)', True, ), # Change in column order ( {"id": int, "name": str}, {"pk": "id", "column_order": ["name"]}, 'CREATE TABLE "demo" (\n [name] TEXT,\n [id] INTEGER PRIMARY KEY\n)', True, ), # Same column order is ignored ( {"id": int, "name": str}, {"pk": "id", "column_order": ["id", "name"]}, "CREATE TABLE [demo] (\n [id] INTEGER PRIMARY KEY,\n [name] TEXT\n)", False, ), # Change not null ( {"id": int, "name": str}, {"pk": "id", "not_null": {"name"}}, 'CREATE TABLE "demo" (\n [id] INTEGER PRIMARY KEY,\n [name] TEXT NOT NULL\n)', True, ), # Change default values ( {"id": int, "name": str}, {"pk": "id", "defaults": {"id": 0, "name": "Bob"}}, "CREATE TABLE \"demo\" (\n [id] INTEGER PRIMARY KEY DEFAULT 0,\n [name] TEXT DEFAULT 'Bob'\n)", True, ), ), ) def test_create_transform(fresh_db, cols, kwargs, expected_schema, should_transform): fresh_db.create_table("demo", {"id": int, "name": str}, pk="id") fresh_db["demo"].insert({"id": 1, "name": "Cleo"}) traces = [] with fresh_db.tracer(lambda sql, parameters: traces.append((sql, parameters))): fresh_db["demo"].create(cols, **kwargs, transform=True) at_least_one_create_table = any(sql.startswith("CREATE TABLE") for sql, _ in traces) assert should_transform == at_least_one_create_table new_schema = fresh_db["demo"].schema assert new_schema == expected_schema, repr(new_schema) assert fresh_db["demo"].count == 1