def test_table_drop(conn):
    table = Table("test_table")

    create_query = table.create()
    drop_query = table.drop()

    with closing(conn.cursor()) as cursor:
        create_query.execute(cursor)

        eq_(table_exists(cursor, table), True)

        drop_query.execute(cursor)

        eq_(table_exists(cursor, table), False)
def test_table_create(conn):
    table = Table("test_table")

    query = table.create()

    with_cursor(conn, query.execute)

    with closing(conn.cursor()) as cursor:
        eq_(table_exists(cursor, table), True)
Exemple #3
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def test_run(conn):
    clear_database(conn)
    plugin = load_plugin()

    minerva_context = MinervaContext(conn, conn)

    instance = plugin(minerva_context)

    job_id = 67
    description = {
        "function_set_id": 42,
        "dest_timestamp": timestamp.isoformat(),
        "processed_max_modified": "2012-12-11 14:03:29+01:00"}
    config = {}

    job = instance.create_job(job_id, description, config)

    assert_not_equal(job, None)

    dest_granularity = 900

    function_mapping_table = Table("transform", "function_mapping")

    with closing(conn.cursor()) as cursor:
        state_table.truncate().execute(cursor)
        function_set_table.truncate(cascade=True).execute(cursor)

        source_datasource_1 = get_dummy_datasource(cursor, "dummy-src-1")
        source_datasource_2 = get_dummy_datasource(cursor, "dummy-src-2")
        dest_datasource = get_dummy_datasource(cursor, "dummy-transform-src")

        dest_entitytype = get_dummy_entitytype(cursor, "dummy_type_standard")

        function_mapping_table.truncate().execute(cursor)

        get_function_mapping(cursor, 1, None, ["counter_a"], "identity_a")
        get_function_mapping(cursor, 2, None, ["counter_b"], "identity_b")
        get_function_mapping(cursor, 3, None, ["counter_c"], "identity_c")
        get_function_mapping(cursor, 4, "add", ["counter_a", "counter_b"], "add_a_b")
        get_function_mapping(cursor, 5, "multiply", ["counter_a", "300"], "a_times_300")

        get_function_set(cursor, 42, "test_set", [1, 2, 3, 4, 5], [3, 4], 42, 900, 6,
            dest_entitytype.id, dest_granularity, None, [], True)

        args = 1, "unittest", "transform", ""
        add_job_source(cursor, *args)

        size = 233
        job_source_id = 1
        args = job_id, "transform", "", size, "2012-12-11 14:34:00", None, None, None, job_source_id, "running"

        add_job(cursor, *args)

        args = 42, description["dest_timestamp"], description["processed_max_modified"], "2012-12-11 13:03:00", job_id
        add_state(cursor, *args)

        table_name = "dummy-src-1_dummy_type_standard_qtr_20121211"
        columns = [
            Column("entity_id"),
            Column("timestamp", type_=SqlType("timestamp with time zone")),
            Column("modified", type_=SqlType("timestamp with time zone")),
            Column("counter_a"),
            Column("counter_b")]
        src_table_1 = Table("trend", table_name, columns=columns)

        if table_exists(cursor, src_table_1):
            src_table_1.drop().execute(cursor)

        src_table_1.create().execute(cursor)

        entities = map(partial(get_or_create_entity, cursor), dns)

        source_1 = create_source_1(entities)

        store(cursor, src_table_1, source_1)

        table_name = "dummy-src-2_dummy_type_standard_qtr_20121211"
        columns = [
            Column("entity_id"),
            Column("timestamp", type_=SqlType("timestamp with time zone")),
            Column("modified", type_=SqlType("timestamp with time zone")),
            Column("counter_c")]
        src_table_2 = Table("trend", table_name, columns=columns)

        if table_exists(cursor, src_table_2):
            src_table_2.drop().execute(cursor)

        src_table_2.create().execute(cursor)

        source_2 = create_source_2(entities)

        store(cursor, src_table_2, source_2)

        result_table = Table("trend", "dummy-transform-src_dummy_type_standard_qtr_20121211")

        if table_exists(cursor, result_table):
            result_table.truncate().execute(cursor)

    conn.commit()

    print("source_1")
    print(unlines(render_source(source_1)))

    print("source_2")
    print(unlines(render_source(source_2)))

    job.execute()

    columns = map(Column, ["entity_id", "identity_a", "identity_b", "add_a_b", "a_times_300"])

    query = result_table.select(columns)

    with closing(conn.cursor()) as cursor:
        query.execute(cursor, args)

        print(unlines(render_result(cursor)))

        query = src_table_1.select(Call("max", Column("modified")))
        query.execute(cursor)
        src1_max_modified = first(cursor.fetchone())

        query = src_table_2.select(Call("max", Column("modified")))
        query.execute(cursor)
        src2_max_modified = first(cursor.fetchone())

        query = modified_table.select(Column("end")).where_(Eq(Column("table_name"), result_table.name))
        query.execute(cursor)

        query = state_table.select(Column("processed_max_modified")).where_(Eq(Column("function_set_id")))
        query.execute(cursor, (42,))
        processed_max_modified = first(cursor.fetchone())

        eq_(max(src1_max_modified, src2_max_modified), processed_max_modified)
Exemple #4
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def test_run(conn):
    clear_database(conn)
    plugin = load_plugin()

    minerva_context = MinervaContext(conn, conn)

    instance = plugin(minerva_context)

    job_id = 67
    description = {
        "function_set_id": 43,
        "dest_timestamp": "2012-12-11 13:00:00",
        "processed_max_modified": "2012-12-11 13:03:29",
    }
    config = {}

    job = instance.create_job(job_id, description, config)

    assert_not_equal(job, None)

    dest_granularity = 3600

    with closing(conn.cursor()) as cursor:
        source_datasource_1 = get_dummy_datasource(cursor, 5, "dummy-src-5")
        dest_datasource = get_dummy_datasource(cursor, 6, "dummy-transform-src")

        dest_entitytype = get_dummy_entitytype(cursor, 45, "dummy_type_aggregate")

        get_function_mapping(cursor, 11, "sum", ["counter_a"], "sum_a")

        get_function_set(
            cursor, 43, "test_set_agg", [11], [5], 45, 900, 6, dest_entitytype.id, dest_granularity, None, ["entity_id"]
        )

        args = 1, "unittest", "transform", ""
        add_job_source(cursor, *args)

        size = 233
        job_source_id = 1
        args = job_id, "transform", "", size, "2012-12-11 14:34:00", None, None, None, job_source_id, "running"
        add_job(cursor, *args)

        args = 43, description["dest_timestamp"], description["processed_max_modified"], "2012-12-11 13:03:00", job_id
        add_state(cursor, *args)

        table_name = "dummy-src-5_dummy_type_aggregate_qtr_20121211"
        columns = [
            Column("entity_id"),
            Column("timestamp", type_=SqlType("timestamp with time zone")),
            Column("modified", type_=SqlType("timestamp with time zone")),
            Column("counter_a"),
            Column("counter_b"),
        ]
        table = Table("trend", table_name, columns=columns)

        if table_exists(cursor, table):
            table.drop().execute(cursor)

        table.create().execute(cursor)

        store(cursor, table, source_1)

        result_table = Table("trend", "dummy-transform-src_dummy_type_aggregate_hr_20121207")

        if table_exists(cursor, result_table):
            result_table.truncate().execute(cursor)

    conn.commit()

    print("source_1")
    print("\n".join(render_source(source_1)))

    job.execute()

    columns = map(Column, ["entity_id", "sum_a"])

    query = result_table.select(columns)

    with closing(conn.cursor()) as cursor:
        query.execute(cursor, args)

        print("\n".join(render_result(cursor)))

        query.execute(cursor, args)

        row = cursor.fetchone()

        eq_(row[1], 21)