Beispiel #1
0
async def process_upload_or_re_evaluate(msg_dict: dict):
    """
    Process function to upload new file or re-evaluate system
    """
    async with DB_POOL.acquire() as conn:
        try:
            async with conn.transaction():
                LOGGER.info("Received message type: %s", msg_dict['type'])
                # Lock the system for processing
                system_platform = await conn.fetchrow(
                    """SELECT id,
                                                                inventory_id,
                                                                vmaas_json,
                                                                rh_account_id,
                                                                opt_out,
                                                                stale
                                                           FROM system_platform
                                                          WHERE inventory_id = $1
                                                            AND when_deleted IS NULL
                                                     FOR UPDATE""",
                    msg_dict['host']['id'])
                if system_platform is not None:
                    await evaluate_vmaas(system_platform, conn)
                    if msg_dict['type'] == 'upload_new_file':
                        send_msg_to_payload_tracker(PAYLOAD_TRACKER_PRODUCER,
                                                    msg_dict,
                                                    'success',
                                                    loop=MAIN_LOOP)

                else:
                    INV_ID_NOT_FOUND.inc()
                    LOGGER.error(
                        "System with inventory_id not found in DB: %s",
                        msg_dict['host']['id'])
                    if msg_dict['type'] == 'upload_new_file':
                        send_msg_to_payload_tracker(
                            PAYLOAD_TRACKER_PRODUCER,
                            msg_dict,
                            'error',
                            status_msg=
                            'System with inventory_id not found in DB: %s' %
                            msg_dict['host']['id'],
                            loop=MAIN_LOOP)

        # pylint: disable=broad-except
        except Exception:
            LOGGER.exception("Unable to store data: ")
            FailedCache.push(FailedCache.upload_cache, msg_dict)
            LOGGER.info("Remembered failed upload: %s", str(msg_dict))
    def process_upload_or_re_evaluate(self, msg_dict: dict, loop=None):
        """
        Process function to upload new file or re-evaluate system
        """
        with DatabasePoolConnection() as conn:
            with conn.cursor() as cur:
                try:
                    LOGGER.info("Received message type: %s", msg_dict['type'])
                    # Lock the system for processing
                    cur.execute(
                        """SELECT id, inventory_id, vmaas_json, rh_account_id,
                                        opt_out FROM system_platform
                                WHERE inventory_id = %s
                                FOR UPDATE""", (msg_dict['host']['id'], ))
                    system_platform = cur.fetchone()
                    if system_platform is not None:
                        self.evaluate_vmaas(system_platform, cur)
                        conn.commit()
                        if msg_dict['type'] == 'upload_new_file':
                            send_msg_to_payload_tracker(
                                PAYLOAD_TRACKER_PRODUCER,
                                msg_dict,
                                'success',
                                loop=loop)

                    else:
                        INV_ID_NOT_FOUND.inc()
                        LOGGER.error(
                            "System with inventory_id not found in DB: %s",
                            msg_dict['host']['id'])
                        send_msg_to_payload_tracker(
                            PAYLOAD_TRACKER_PRODUCER,
                            msg_dict,
                            'error',
                            status_msg=
                            'System with inventory_id not found in DB: %s' %
                            msg_dict['host']['id'],
                            loop=loop)
                except DatabaseError:
                    LOGGER.exception("Unable to store data: ")
                    FailedCache.push(FailedCache.upload_cache, msg_dict)
                    LOGGER.info("Remembered failed upload: %s", str(msg_dict))
                    conn.rollback()
async def process_message(message):
    """Message procession logic"""
    try:
        msg_dict = json.loads(message.value.decode('utf-8'))
        # Can't use FailedCache.process_failed_cache here because it's tied
        # to ThreadExecutor. So do it the asyncio way
        if FailedCache.upload_cache:
            cache = FailedCache.upload_cache
            LOGGER.info("Start processing %d failed uploads", len(cache))
            for msg in cache:
                LOGGER.info("Processing failed upload: %s", str(msg))
                await process_upload_or_re_evaluate(msg)
            LOGGER.info("Cleared failed cache")
            FailedCache.clear_cache(cache)
    except json.decoder.JSONDecodeError:
        MESSAGE_PARSE_ERROR.inc()
        LOGGER.exception("Unable to parse message: ")
        return
    if message.topic in CFG.evaluator_topics:
        if 'type' not in msg_dict:
            LOGGER.error("Received message is missing type field: %s",
                         msg_dict)
            return
        if msg_dict['type'] in ['upload_new_file', 're-evaluate_system']:
            await process_upload_or_re_evaluate(msg_dict)
            if msg_dict['type'] == 'upload_new_file':
                send_msg_to_payload_tracker(
                    PAYLOAD_TRACKER_PRODUCER,
                    msg_dict,
                    'processing',
                    status_msg='Scheduled for evaluation',
                    loop=MAIN_LOOP)
        else:
            UNKNOWN_MSG.inc()
            LOGGER.error("Received unknown message type: %s", msg_dict['type'])
    else:
        UNKNOWN_TOPIC.inc()
        LOGGER.error("Received message on unsupported topic: %s",
                     message.topic)
        def process_message(message):
            """Message procession logic"""
            try:
                msg_dict = json.loads(message.value.decode('utf-8'))
                FailedCache.process_failed_cache(
                    FailedCache.upload_cache, executor,
                    self.process_upload_or_re_evaluate, loop)
            except json.decoder.JSONDecodeError:
                MESSAGE_PARSE_ERROR.inc()
                LOGGER.exception("Unable to parse message: ")
                return
            if message.topic in kafka_evaluator_topic:
                if 'type' not in msg_dict:
                    LOGGER.error("Received message is missing type field: %s",
                                 msg_dict)
                    return
                if msg_dict['type'] in [
                        'upload_new_file', 're-evaluate_system'
                ]:
                    process_func = self.process_upload_or_re_evaluate
                    if msg_dict['type'] == 'upload_new_file':
                        send_msg_to_payload_tracker(
                            PAYLOAD_TRACKER_PRODUCER,
                            msg_dict,
                            'processing',
                            status_msg='Scheduled for evaluation',
                            loop=loop)
                else:
                    UNKNOWN_MSG.inc()
                    LOGGER.error("Received unknown message type: %s",
                                 msg_dict['type'])
                    return

                future = executor.submit(process_func, msg_dict, loop=loop)
                future.add_done_callback(on_thread_done)
            else:
                UNKNOWN_TOPIC.inc()
                LOGGER.error("Received message on unsupported topic: %s",
                             message.topic)
def db_import_system(upload_data, vmaas_json: str, repo_list: list):
    """Import initial system record to the DB, report back on what we did."""

    status = ImportStatus.FAILED

    with DatabasePoolConnection() as conn:
        with conn.cursor() as cur:
            try:
                host = upload_data["host"]
                import_status, system_id = db_import_system_platform(
                    cur, host['id'], host['account'],
                    upload_data['platform_metadata']['url'],
                    host.get("display_name"), host.get('stale_timestamp'),
                    host.get('stale_warning_timestamp'),
                    host.get('culled_timestamp'),
                    host.get('system_profile',
                             {}).get('host_type'), vmaas_json)
                if import_status is None:
                    conn.rollback()
                    return status
                status |= import_status

                db_import_repos(cur, repo_list)
                db_import_system_repos(cur, repo_list, system_id)

                db_delete_other_system_repos(cur, repo_list, system_id)

                conn.commit()

                status -= ImportStatus.FAILED
            except DatabaseError:
                DATABASE_ERROR.inc()
                LOGGER.exception("Error importing system: ")
                FailedCache.push(FailedCache.upload_cache, upload_data)
                LOGGER.info("Remembered upload %s", str(upload_data))
                conn.rollback()
    return status
def process_message(msg):  # pylint: disable=too-many-return-statements,too-many-branches
    """Message processing logic"""
    PROCESS_MESSAGES.inc()
    LOGGER.debug('Received message from topic %s: %s', msg.topic, msg.value)

    try:
        msg_dict = json.loads(msg.value.decode("utf8"))
    except json.decoder.JSONDecodeError:
        MESSAGE_PARSE_ERROR.inc()
        LOGGER.exception("Unable to parse message: ")
        return
    FailedCache.process_failed_cache(FailedCache.upload_cache,
                                     ListenerCtx.executor, process_upload,
                                     ListenerCtx.loop)
    FailedCache.process_failed_cache(FailedCache.delete_cache,
                                     ListenerCtx.executor, process_delete,
                                     ListenerCtx.loop)

    if msg.topic == CFG.events_topic:
        if msg_dict.get("type", "") in ["created", "updated"]:
            if not validate_kafka_msg(msg_dict,
                                      REQUIRED_CREATED_UPDATED_MESSAGE_FIELDS):
                SKIPPED_MESSAGES.inc()
                return
            if msg_dict.get("platform_metadata"):
                if not validate_kafka_msg(msg_dict,
                                          REQUIRED_UPLOAD_MESSAGE_FIELDS):
                    SKIPPED_MESSAGES.inc()
                    return
                LOGGER.info(
                    "Received created/updated msg, inventory_id: %s, type: %s",
                    msg_dict["host"]["id"], msg_dict["type"])
                # send message to payload tracker
                send_msg_to_payload_tracker(PAYLOAD_TRACKER_PRODUCER,
                                            msg_dict,
                                            'received',
                                            loop=ListenerCtx.loop)
                # process only system uploads from insights entitled accounts
                identity = get_identity(
                    msg_dict["platform_metadata"]["b64_identity"])
                if identity is None:
                    INVALID_IDENTITY.inc()
                    error_msg = "Skipped upload due to invalid identity header."
                    LOGGER.warning(error_msg)
                    send_msg_to_payload_tracker(PAYLOAD_TRACKER_PRODUCER,
                                                msg_dict,
                                                'error',
                                                status_msg=error_msg,
                                                loop=ListenerCtx.loop)
                    return
                if not is_entitled_insights(identity,
                                            allow_missing_section=True):
                    MISSING_INSIGHTS_ENTITLEMENT.inc()
                    error_msg = "Skipped upload due to missing insights entitlement."
                    LOGGER.debug(error_msg)
                    send_msg_to_payload_tracker(PAYLOAD_TRACKER_PRODUCER,
                                                msg_dict,
                                                'error',
                                                status_msg=error_msg,
                                                loop=ListenerCtx.loop)
                    return
                process_func = process_upload
            else:
                # display name change message doesn't have platform_metadata section, cannot validate identity and track payload,
                # support only display name change
                LOGGER.info("Received update event msg, inventory_id: %s",
                            msg_dict["host"]["id"])
                process_func = process_update
        elif msg_dict.get("type", "") == "delete":
            if not validate_kafka_msg(msg_dict,
                                      REQUIRED_DELETE_MESSAGE_FIELDS):
                SKIPPED_MESSAGES.inc()
                return
            LOGGER.info("Received delete msg, inventory_id: %s",
                        msg_dict["id"])
            process_func = process_delete
        else:
            UNKNOWN_EVENT_TYPE.inc()
            LOGGER.error("Received unknown event type: %s",
                         msg_dict.get('type', 'missing event type'))
            return
    else:
        UNKNOWN_TOPIC.inc()
        LOGGER.error("Received message on unsupported topic: %s", msg.topic)
        return

    future = ListenerCtx.executor.submit(process_func,
                                         msg_dict,
                                         loop=ListenerCtx.loop)
    future.add_done_callback(on_thread_done)