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Initial tests for .create(..., transform=True), refs #467
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2 changed files with 79 additions and 8 deletions
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@ -897,7 +897,8 @@ class Database:
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# Transform table to match the new definition if table already exists:
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if transform and self[name].exists():
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table = cast(Table, self[name])
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# First add missing columns and columns to drop
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needs_transform = False
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# First add missing columns and figure out columns to drop
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existing_columns = table.columns_dict
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missing_columns = dict(
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(col_name, col_type)
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@ -910,13 +911,26 @@ class Database:
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if missing_columns:
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for col_name, col_type in missing_columns.items():
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table.add_column(col_name, col_type)
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# Do we need to reset the column order?
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column_order = None
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if list(existing_columns) != list(columns):
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column_order = list(columns)
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if missing_columns or columns_to_drop:
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needs_transform = True
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# Do we need to change the column order?
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if (
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column_order
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and list(existing_columns)[: len(column_order)] != column_order
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):
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needs_transform = True
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# Has the primary key changed?
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current_pks = table.pks
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desired_pk = None
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if isinstance(pk, str):
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desired_pk = [pk]
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elif pk:
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desired_pk = list(pk)
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if desired_pk and current_pks != desired_pk:
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needs_transform = True
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# Only run .transform() if there is something to do
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# TODO: this misses changes like pk= without also column changes
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if columns_to_drop or missing_columns or column_order:
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# TODO: what about not null and defaults?
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if needs_transform:
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table.transform(
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types=columns,
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drop=columns_to_drop,
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@ -1692,7 +1706,9 @@ class Table(Queryable):
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elif not not_null:
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pass
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else:
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assert False, "not_null must be a dict or a set or None, it was {}".format(repr(not_null))
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assert False, "not_null must be a dict or a set or None, it was {}".format(
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repr(not_null)
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)
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# defaults=
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create_table_defaults = {
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(rename.get(c.name) or c.name): c.default_value
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@ -1155,3 +1155,58 @@ def test_create_if_no_columns(fresh_db):
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with pytest.raises(AssertionError) as error:
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fresh_db["t"].create({})
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assert error.value.args[0] == "Tables must have at least one column"
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@pytest.mark.parametrize(
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"cols,kwargs,expected_schema,should_transform",
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(
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# Change nothing
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(
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{"id": int, "name": str},
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{"pk": "id"},
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"CREATE TABLE [demo] (\n [id] INTEGER PRIMARY KEY,\n [name] TEXT\n)",
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False,
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),
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# Drop name column, remove primary key
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({"id": int}, {}, 'CREATE TABLE "demo" (\n [id] INTEGER\n)', True),
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# Add a new column
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(
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{"id": int, "name": str, "age": int},
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{"pk": "id"},
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'CREATE TABLE "demo" (\n [id] INTEGER PRIMARY KEY,\n [name] TEXT,\n [age] INTEGER\n)',
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True,
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),
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# Change the primary key
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(
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{"id": int, "name": str},
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{"pk": "name"},
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'CREATE TABLE "demo" (\n [id] INTEGER,\n [name] TEXT PRIMARY KEY\n)',
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True,
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),
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# Change in column order
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(
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{"id": int, "name": str},
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{"pk": "id", "column_order": ["name"]},
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'CREATE TABLE "demo" (\n [name] TEXT,\n [id] INTEGER PRIMARY KEY\n)',
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True,
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),
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# Same column order is ignored
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(
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{"id": int, "name": str},
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{"pk": "id", "column_order": ["id", "name"]},
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"CREATE TABLE [demo] (\n [id] INTEGER PRIMARY KEY,\n [name] TEXT\n)",
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False,
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),
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),
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)
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def test_create_transform(fresh_db, cols, kwargs, expected_schema, should_transform):
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fresh_db.create_table("demo", {"id": int, "name": str}, pk="id")
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fresh_db["demo"].insert({"id": 1, "name": "Cleo"})
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traces = []
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with fresh_db.tracer(lambda sql, parameters: traces.append((sql, parameters))):
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fresh_db["demo"].create(cols, **kwargs, transform=True)
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new_schema = fresh_db["demo"].schema
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assert new_schema == expected_schema, repr(new_schema)
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at_least_one_create_table = any(sql.startswith("CREATE TABLE") for sql, _ in traces)
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assert should_transform == at_least_one_create_table
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assert fresh_db["demo"].count == 1
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