Beispiel #1
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def test_get_function_set_2(conn):
    clear_database(conn)

    with closing(conn.cursor()) as cursor:
        entitytype = get_dummy_entitytype(cursor, 42, "dummy_type")
        src_datasource = get_dummy_datasource(cursor, 3, "dummy-src-1")
        dst_datasource = get_dummy_datasource(cursor, 4, "dummy-src-2")

        args = 14, "test_set", [1, 2, 3], [3], 42, 900, 4, entitytype.id, 900, None, []

        add_function_set(cursor, *args)

        function_set = get_function_set(cursor, 14)

    eq_(function_set.name, 'test_set')
Beispiel #2
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def test_get_function_set_2(conn):
    with closing(conn.cursor()) as cursor:
        reset_db(cursor)

    conn.commit()

    with closing(conn.cursor()) as cursor:
        entitytype = get_dummy_entitytype(cursor, "dummy_type")
        src_datasource = get_dummy_datasource(cursor, "dummy-src-1")
        dst_datasource = get_dummy_datasource(cursor, "dummy-src-2")

        args = ("test_set", "", [1, 2, 3], [src_datasource.id], entitytype.id,
                "900", dst_datasource.id, entitytype.id, "900", None, [], None, True)

        function_set = add_function_set(cursor, *args)

        function_set = get_function_set(cursor, function_set.id)

    eq_(function_set.name, 'test_set')
Beispiel #3
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def test_run_hr(conn):
    with closing(conn.cursor()) as cursor:
        reset_db(cursor)

    conn.commit()

    source_granularity = create_granularity("900")
    dest_granularity = create_granularity("3600")

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

        dest_entitytype = get_dummy_entitytype(cursor, "dummy_type_aggregate")

        function_mapping = add_function_mapping(cursor, "sum", ["counter_a"], "sum_a")

        partition_size = 86400

        trendstore_1 = TrendStore3(source_datasource, dest_entitytype,
                source_granularity, partition_size, "table")
        trendstore_1.create(cursor)

        dest_trendstore = TrendStore3(dest_datasource, dest_entitytype,
                dest_granularity, partition_size, "table")
        dest_trendstore.create(cursor)

        function_set_qtr = add_function_set(cursor, "test_set_agg", "",
                [function_mapping.id], [source_datasource.id], dest_entitytype.id,
                source_granularity.name, dest_datasource.id, dest_entitytype.id,
                dest_granularity.name, None, ["entity_id"], None, True)

        conn.commit()

        transaction = store_modified_at(trendstore_1, source_1_1, modified_a)
        transaction.run(conn)
        transaction = store_modified_at(trendstore_1, source_1_2, modified_b)
        transaction.run(conn)
        transaction = store_modified_at(trendstore_1, source_1_3, modified_a)
        transaction.run(conn)
        transaction = store_modified_at(trendstore_1, source_1_4, modified_a)
        transaction.run(conn)

    logging.debug("source_1")
    logging.debug(unlines(render_datapackage(source_1_1)))

    processed_max_modified = None

    minerva_context = MinervaContext(conn, conn)

    transformation = Transformation(function_set_qtr, dest_timestamp)

    transformation.execute(minerva_context)

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

    dest_partition = dest_trendstore.partition(dest_timestamp)
    result_table = dest_partition.table()

    query = result_table.select(columns)

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

        logging.debug(unlines(render_result(cursor)))

        query.execute(cursor)

        row = cursor.fetchone()

        eq_(row[1], 21)
Beispiel #4
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def test_run(conn):
    with closing(conn.cursor()) as cursor:
        reset_db(cursor)

    conn.commit()

    minerva_context = MinervaContext(conn, conn)

    source_granularity = create_granularity("900")
    dest_granularity = create_granularity("900")

    with closing(conn.cursor()) as 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")

        entitytype = get_dummy_entitytype(cursor, dummy_type_name)

        partition_size = 86400

        trendstore_1 = TrendStore(
            source_datasource_1, entitytype, source_granularity,
            partition_size, "table")
        trendstore_1.create(cursor)
        trendstore_2 = TrendStore(
            source_datasource_2, entitytype, source_granularity,
            partition_size, "table")
        trendstore_2.create(cursor)
        result_trendstore = TrendStore(
            dest_datasource, entitytype, dest_granularity, partition_size,
            "table")
        result_trendstore.create(cursor)

        function_mappings = [
            add_function_mapping(cursor, None, ["counter_a"], "identity_a"),
            add_function_mapping(cursor, None, ["counter_b"], "identity_b"),
            add_function_mapping(cursor, None, ["counter_c"], "identity_c"),
            add_function_mapping(cursor, "add", ["counter_a", "counter_b"], "add_a_b"),
            add_function_mapping(cursor, "multiply", ["counter_a", "300"], "a_times_300")]

        function_mapping_ids = [fm.id for fm in function_mappings]

        function_set_qtr = add_function_set(cursor, "test_set", "", function_mapping_ids,
                [source_datasource_1.id, source_datasource_2.id], entitytype.id, source_granularity.name, dest_datasource.id, entitytype.id,
                dest_granularity.name, None, [], None, True)

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

        conn.commit()

        source_1 = create_source_1(source_granularity, entities)

        def store_modified_at(trendstore, datapackage, modified):
            def set_modified(state):
                state["modified"] = modified

            partition = trendstore.partition(datapackage.timestamp)
            set_modified_action = UpdateState(set_modified)
            copy_from = CopyFrom(k(partition), k(datapackage))

            return DbTransaction(set_modified_action, copy_from)

        transaction = store_modified_at(trendstore_1, source_1, modified_a)
        transaction.run(conn)

        source_2 = create_source_2(source_granularity, entities)

        transaction = store_modified_at(trendstore_2, source_2, modified_a)
        transaction.run(conn)

        result_partition = result_trendstore.partition(timestamp)

        result_table = result_partition.table()

    conn.commit()

    logging.debug("source_1")
    logging.debug(unlines(render_datapackage(source_1)))

    logging.debug("source_2")
    logging.debug(unlines(render_datapackage(source_2)))

    dest_timestamp = timestamp

    transformation = Transformation(function_set_qtr, dest_timestamp)

    transformation.execute(minerva_context)

    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)

        logging.debug(unlines(render_result(cursor)))

        src_table_1 = trendstore_1.partition(timestamp).table()
        query = src_table_1.select(Call("max", Column("modified")))
        query.execute(cursor)
        src1_max_modified = first(cursor.fetchone())

        src_table_2 = trendstore_2.partition(timestamp).table()
        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, (function_set_qtr.id,))
        processed_max_modified = first(cursor.fetchone())

        eq_(max(src1_max_modified, src2_max_modified), processed_max_modified)
Beispiel #5
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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)
Beispiel #6
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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)