pypz.plugins.rmq_io.channels module

class pypz.plugins.rmq_io.channels.RMQChannelReader(channel_name: str, context: InputPortPlugin, executor: ThreadPoolExecutor | None = None, **kwargs)

Bases: ChannelReader

_abc_impl = <_abc._abc_data object>
_aggregated_record_count: int

Metric value to store the summed up record count

_aggregated_time_between_reads: int

Metric value to store the summed up times between reads

_channel_name: str

This member stores the name of the channel, which normally reflects to the resource’s name.

_channel_opened: bool

This member is a flag to signalize, whether a channel is open and ready to use.

_channel_started: bool

Status flag to signalize, whether the channel has been started.

_channel_stopped: bool

Status flag to signalize, whether the channel has been stopped. Note that this additional flag is necessary, since having the _channel_started on false does not necessarily mean that the output was ever started and is now finished.

_close_channel() bool

This method shall implement the logic to close a channel. Normally closing a channel is the last step so clean up of used resource shall happen here as well.

Returns:

True, if done, False if it is still in progress

_commit_offset(offset: int) None

This method shall implement the logic that commits the provided offset using the underlying technology.

Parameters:

offset – provided offset to commit

_config_data_consumer_timeout_sec: float

Configuration parameter to specify the timeout for draining events from the data queue

_config_max_poll_records: int

Configuration parameter to specify the max number of messages to process in one go

_config_status_consumer_timeout_sec: float

Configuration parameter to specify the timeout for draining events from the status stream

_configuration: dict

This member stores the configuration string of the channel. This is a kind of serialized storage, since the configuration can be an arbitrary type with arbitrary schema as long as the interpretation is knonw.

_configure_channel(channel_configuration: dict) None

This method shall implement the logic to interpret the provided configuration.

Parameters:

channel_configuration – config string

_context: PortPlugin

The context of this channel, which shall be an object of PortPlugin type

_control_loop_exception_timer: int

Control loop is, where the control information are sent to the counter channel. Should there an exception occur, we need to make sure that we give some time to recover, before terminating the channel. This timer defines that grace period.

_create_resources() bool

This method shall implement the logic of creating resources of the channel. IMPORTANT NOTE - this method shall be invoked before the open_channel() to make sure that the resources are existing beforehand.

Returns:

True, if done, False if it is still in progress

_current_read_record_count: int

Stores the record count of the most current read

_current_read_timestamp: int

Stores the timestamp of the most current read to be able to calculate elapsed time

_data_consumer: MessageConsumer | None

Consumer wrapper to consume data messages sent by the ChannelWriter

_data_exchange_name: str

Data goes through exchanges, a dedicated exchange with this name will be created for this channel.

_data_queue_name: str

Data queue name, where all the data messages go through

_delete_resources() bool

This method shall implement the logic of deleting resources of the channel. IMPORTANT NOTE - this method shall be invoked after the close_channel()

Returns:

True, if done, False if it is still in progress

_exchange_type

This controls, how the exchange shall forward messages to the consumers. In group mode, all the consumers shall get all the messages, hence we need to specify it as “fanout”

_executor: concurrent.futures.ThreadPoolExecutor | None

This executor is used to execute the background thread, which will invoke the sendHealthStatus method

_executor_started: bool

Flag to signalize, whether the executor thread started

_executor_stopped: SynchronizedReference[bool]

Flag to signalize that the executor thread has been terminated. This flag is necessary along wi _stopping_executor to synchronize the termination. Otherwise it can happen that the thread did not terminate yet, but the channel has already been closed resulting in exceptions.

_generic_datum_reader: DatumReader | None

This is the generic datum reader, which converts bytes to generic records. It will be only initialized, if a schema is provided.

_health_check_payload: dict[str, Any]

It is possible to send additional information along with health check events. This member serves as the storage of this additional payload.

_initial_input_record_offset: int

This is variable stores the initial offset, which can be different than 0 in case of crash-restart. In this case this value is actually the difference by which the framework calculated offset shall be compensated.

_last_offset_committed: int

This value tracks the last committed offset. The main use-case of this variable is to prevent offset commit if the new offset equals the last committed.

_load_input_record_offset() int

Offset has no meaning in queues, nevertheless the value -1 is necessary, since if it signalizes that no offset ever was committed.

_location: str | None

This member stores the location string of the channel. The location depends on the technology. It can refer to either a remote or a local URL as well.

_log_level: str

Default log level. This is ok to set here, since if Operator’s context logger is present, its log level cannot be overriden, but if not, the DefaultContextLogger’s can be.

_logger: ContextLogger

Channel logger

_metrics_buffer: list[ChannelMetric]

This list holds metric elements, however the only purpose is to be aware of the first element to discard like in a circular buffer

_metrics_enabled: bool

Enables metric calculation i.e., to calculate additional i/o related information

_on_status_message_received_callbacks: set[Callable[[list[ChannelStatusMessage]], None]]

Stores the callbacks, which will be executed, if status messages received

_open_channel() bool

This method shall implement the logic to open a channel. The meaning of ‘open’ however is to be defined by the actual implementation. One developer can define it like an opened connection, other as created file etc.

Returns:

True, if done, False if it is still in progress

_read_record_count: int

Counter for how many records have been read by this channel. Note that this value can differ from the offset value in case of crash-restart. Still the framework maintains the difference between this value and the loaded offset and will compensate the framework calculated offset by that difference.

_read_record_offset: int

The actual write offset of the read records. Eg. if 10 records have been read and provided to the plugin then the offset is 10. Note that this might differ from the m_inputRecordCount_i64 in case of crash-restart.

_read_records() list[Any]

This method shall implement the logic to read records from the input channel. An ArrayList of records is expected.

Returns:

list of records OR empty ArrayList if no records read. Null is not accepted.

_reader_status_producer: MessageProducer | None

Producer wrapper to produce status messages for the ChannelWriters

_reader_status_stream_name: str

Name of the stream, which contains the reader status signals

_resources_created: bool

Status flag to signalize that the channel’s resources are created

_resources_deleted: bool

Status flag to signalize that the channel’s resources are deleted

_retrieve_status_messages() list | None

This implementation retrieves the status messages from the corresponding stream. Notice that unlike in case of the queue, where arbitrary amount of messages can be received via a drain_events() call, for streams it is always only 1 message. For this reason, we need to poll all available records at most the number of MaxStatusMessageRetrieveCount.

_send_status_message(message: str) None

This method shall implement the logic that publishes the channel’s state to the counterpart channel. The state string is provided by the channel itself. Note that there is defined schema, how and what will be provided by the channel as string, however you can append your own custom information, you only need to append as string separated by StateMessageSeparatorChar.

Parameters:

message – message that shall be sent

_silent_mode: bool

If this flag is set, then this channel will not send status messages. One use-case is, if a channelRW is created to sniff the status of channels.

_status_map: dict[str, ChannelStatusMonitor]

This map stores the health statuses of all connected channels

_stopping_executor: bool

Flag to signalize the termination attempt of the executor thread

_unique_name: str

This name identifies the channel in its context. It is necessary, since channel name on its own is not unique, can be reused by different owners.

_writer_status_consumer: MessageConsumer | None

Consumer wrapper to consume status messages sent by the ChannelWriters

_writer_status_stream_name: str

Name of the stream, which contains the writer status signals

can_close() bool

This method can implement the logic to determine, if the channel can be closed or not.

Returns:

True if the channel can be closed, False otherwise

has_records() bool

This method shall implement the logic to check, if the reader can still read records.

Returns:

True if channel has still records, False if not

class pypz.plugins.rmq_io.channels.RMQChannelWriter(channel_name: str, context: OutputPortPlugin, executor: ThreadPoolExecutor | None = None, **kwargs)

Bases: ChannelWriter

_abc_impl = <_abc._abc_data object>
_aggregated_record_count: int

Metric value to store the summed up record count

_aggregated_time_between_outputs: int

Metric value to store the summed up times between reads

_channel_name: str

This member stores the name of the channel, which normally reflects to the resource’s name.

_channel_opened: bool

This member is a flag to signalize, whether a channel is open and ready to use.

_channel_started: bool

Status flag to signalize, whether the channel has been started.

_channel_stopped: bool

Status flag to signalize, whether the channel has been stopped. Note that this additional flag is necessary, since having the _channel_started on false does not necessarily mean that the output was ever started and is now finished.

_close_channel() bool

This method shall implement the logic to close a channel. Normally closing a channel is the last step so clean up of used resource shall happen here as well.

Returns:

True, if done, False if it is still in progress

_config_status_consumer_timeout_sec: float

Configuration parameter to specify the timeout for draining events from the status stream

_configuration: dict

This member stores the configuration string of the channel. This is a kind of serialized storage, since the configuration can be an arbitrary type with arbitrary schema as long as the interpretation is knonw.

_configure_channel(channel_configuration: dict) None

This method shall implement the logic to interpret the provided configuration.

Parameters:

channel_configuration – config string

_context: PortPlugin

The context of this channel, which shall be an object of PortPlugin type

_control_loop_exception_timer: int

Control loop is, where the control information are sent to the counter channel. Should there an exception occur, we need to make sure that we give some time to recover, before terminating the channel. This timer defines that grace period.

_create_resources() bool

This method shall implement the logic of creating resources of the channel. IMPORTANT NOTE - this method shall be invoked before the open_channel() to make sure that the resources are existing beforehand.

Returns:

True, if done, False if it is still in progress

_current_output_record_count: int

Stores the record count of the most current read

_current_output_timestamp: int

Stores the timestamp of the most current read to be able to calculate elapsed time

_data_exchange_name: str

Data goes through exchanges, a dedicated exchange with this name will be created for this channel.

_data_producer: MessageProducer | None

Producer wrapper to produce data messages for the ChannelReaders

_data_queue_name: str

Data queue name

_delete_resources() bool

This method shall implement the logic of deleting resources of the channel. IMPORTANT NOTE - this method shall be invoked after the close_channel()

Returns:

True, if done, False if it is still in progress

_executor: concurrent.futures.ThreadPoolExecutor | None

This executor is used to execute the background thread, which will invoke the sendHealthStatus method

_executor_started: bool

Flag to signalize, whether the executor thread started

_executor_stopped: SynchronizedReference[bool]

Flag to signalize that the executor thread has been terminated. This flag is necessary along wi _stopping_executor to synchronize the termination. Otherwise it can happen that the thread did not terminate yet, but the channel has already been closed resulting in exceptions.

_generic_datum_writer: DatumWriter | None

This is the datum writer that converts generic records to byte data. It is only initialized, if schema is provided.

_health_check_payload: dict[str, Any]

It is possible to send additional information along with health check events. This member serves as the storage of this additional payload.

_location: str | None

This member stores the location string of the channel. The location depends on the technology. It can refer to either a remote or a local URL as well.

_log_level: str

Default log level. This is ok to set here, since if Operator’s context logger is present, its log level cannot be overriden, but if not, the DefaultContextLogger’s can be.

_logger: ContextLogger

Channel logger

_metrics_buffer: list[ChannelMetric]

This list holds metric elements, however the only purpose is to be aware of the first element to discard like in a circular buffer

_metrics_enabled: bool

Enables metric calculation i.e., to calculate additional i/o related information

_on_status_message_received_callbacks: set[Callable[[list[ChannelStatusMessage]], None]]

Stores the callbacks, which will be executed, if status messages received

_open_channel() bool

This method shall implement the logic to open a channel. The meaning of ‘open’ however is to be defined by the actual implementation. One developer can define it like an opened connection, other as created file etc.

Returns:

True, if done, False if it is still in progress

_reader_status_consumer: MessageConsumer | None

Consumer wrapper to consume status messages sent by the ChannelReaders

_reader_status_stream_name: str

Name of the stream, which contains the reader status signals

_resources_created: bool

Status flag to signalize that the channel’s resources are created

_resources_deleted: bool

Status flag to signalize that the channel’s resources are deleted

_retrieve_status_messages() list | None

This implementation retrieves the status messages from the corresponding stream. Notice that unlike in case of the queue, where arbitrary amount of messages can be received via a drain_events() call, for streams it is always only 1 message. For this reason, we need to poll all available records at most the number of MaxStatusMessageRetrieveCount.

_send_status_message(message: str) None

This method shall implement the logic that publishes the channel’s state to the counterpart channel. The state string is provided by the channel itself. Note that there is defined schema, how and what will be provided by the channel as string, however you can append your own custom information, you only need to append as string separated by StateMessageSeparatorChar.

Parameters:

message – message that shall be sent

_silent_mode: bool

If this flag is set, then this channel will not send status messages. One use-case is, if a channelRW is created to sniff the status of channels.

_status_map: dict[str, ChannelStatusMonitor]

This map stores the health statuses of all connected channels

_stopping_executor: bool

Flag to signalize the termination attempt of the executor thread

_unique_name: str

This name identifies the channel in its context. It is necessary, since channel name on its own is not unique, can be reused by different owners.

_write_records(records: list[Any]) None

This method shall implement the logic that writes the records to the output resource. It will automatically be invoked by the plugin via the corresponding invoker method.

Parameters:

records – list of records to be written

_writer_status_producer: MessageProducer | None

Producer wrapper to produce status messages for the ChannelReaders

_writer_status_stream_name: str

Name of the stream, which contains the writer status signals

_written_record_count: int

Number of outputted records.

can_close() bool

This method can implement the logic to determine, if the channel can be closed or not.

Returns:

True if the channel can be closed, False otherwise