IiA2SSKJrJr SSKrSSKrSSKrSSKrSSKJrJ r J r SSK J r SSK JrJr SSKJr SSKJr SSKJr SS KJr SS KJr SS KJrJr SS KJr SS KJ r J!r! SSK"J#r# SSK$J%r% \RL"\'5r("SS\ RR5r*g))absolute_importdivisionN)KafkaConfigurationErrorKafkaTimeoutErrorUnsupportedVersionError)six) KafkaClient selectors)Fetcher)SubscriptionState)ConsumerCoordinator)RangePartitionAssignor)RoundRobinPartitionAssignor) MetricConfigMetrics)OffsetResetStrategy)OffsetAndMetadataTopicPartition)Timer) __version__c \rSrSrSr0SS_SS\-_SS_S S_S S_S S _S S_SS_SS_SS_SS_SS_SS_SS_SS_SS _S!S _0S"S#_S$S%_S&S _S'S(_S)S _S*S+_S,\\4_S-S_S.S+_S/S0_S1S2_S3S_S4S_S5\R\RS4/_S6S7_S8S9_S:\ "S;5_E0SS_S?S _S@S_SAS_SBS_SCS_SDS_SES_SFS_SGSH_SISJ_SK/_SLS _SMSN_SOS_SPSQ_E\ RS SSSSSRSSS\SS. ErSrSTrSUrSVrSWrSwSXjrSxSYjrSxSZjrSyS[jrS\rS]rS^rSzS_jrS{S`jrS|SajrSbrScr Sdr!Ser"Sfr#Sgr$Shr%S}Sijr&Sjr'Skr(S~Sljr)Smr*Snr+Sor,Spr-S|Sqjr.Srr/Ssr0Str1Sur2Svr3g) KafkaConsumera<Consume records from a Kafka cluster. The consumer will transparently handle the failure of servers in the Kafka cluster, and adapt as topic-partitions are created or migrate between brokers. It also interacts with the assigned kafka Group Coordinator node to allow multiple consumers to load balance consumption of topics (requires kafka >= 0.9.0.0). The consumer is not thread safe and should not be shared across threads. Arguments: *topics (str): optional list of topics to subscribe to. If not set, call :meth:`~kafka.KafkaConsumer.subscribe` or :meth:`~kafka.KafkaConsumer.assign` before consuming records. Keyword Arguments: bootstrap_servers: 'host[:port]' string (or list of 'host[:port]' strings) that the consumer should contact to bootstrap initial cluster metadata. This does not have to be the full node list. It just needs to have at least one broker that will respond to a Metadata API Request. Default port is 9092. If no servers are specified, will default to localhost:9092. client_id (str): A name for this client. This string is passed in each request to servers and can be used to identify specific server-side log entries that correspond to this client. Also submitted to GroupCoordinator for logging with respect to consumer group administration. Default: 'kafka-python-{version}' group_id (str or None): The name of the consumer group to join for dynamic partition assignment (if enabled), and to use for fetching and committing offsets. If None, auto-partition assignment (via group coordinator) and offset commits are disabled. Default: None key_deserializer (callable): Any callable that takes a raw message key and returns a deserialized key. value_deserializer (callable): Any callable that takes a raw message value and returns a deserialized value. enable_incremental_fetch_sessions: (bool): Use incremental fetch sessions when available / supported by kafka broker. See KIP-227. Default: True. fetch_min_bytes (int): Minimum amount of data the server should return for a fetch request, otherwise wait up to fetch_max_wait_ms for more data to accumulate. Default: 1. fetch_max_wait_ms (int): The maximum amount of time in milliseconds the server will block before answering the fetch request if there isn't sufficient data to immediately satisfy the requirement given by fetch_min_bytes. Default: 500. fetch_max_bytes (int): The maximum amount of data the server should return for a fetch request. This is not an absolute maximum, if the first message in the first non-empty partition of the fetch is larger than this value, the message will still be returned to ensure that the consumer can make progress. NOTE: consumer performs fetches to multiple brokers in parallel so memory usage will depend on the number of brokers containing partitions for the topic. Supported Kafka version >= 0.10.1.0. Default: 52428800 (50 MB). max_partition_fetch_bytes (int): The maximum amount of data per-partition the server will return. The maximum total memory used for a request = #partitions * max_partition_fetch_bytes. This size must be at least as large as the maximum message size the server allows or else it is possible for the producer to send messages larger than the consumer can fetch. If that happens, the consumer can get stuck trying to fetch a large message on a certain partition. Default: 1048576. request_timeout_ms (int): Client request timeout in milliseconds. Default: 305000. retry_backoff_ms (int): Milliseconds to backoff when retrying on errors. Default: 100. reconnect_backoff_ms (int): The amount of time in milliseconds to wait before attempting to reconnect to a given host. Default: 50. reconnect_backoff_max_ms (int): The maximum amount of time in milliseconds to backoff/wait when reconnecting to a broker that has repeatedly failed to connect. If provided, the backoff per host will increase exponentially for each consecutive connection failure, up to this maximum. Once the maximum is reached, reconnection attempts will continue periodically with this fixed rate. To avoid connection storms, a randomization factor of 0.2 will be applied to the backoff resulting in a random range between 20% below and 20% above the computed value. Default: 30000. max_in_flight_requests_per_connection (int): Requests are pipelined to kafka brokers up to this number of maximum requests per broker connection. Default: 5. auto_offset_reset (str): A policy for resetting offsets on OffsetOutOfRange errors: 'earliest' will move to the oldest available message, 'latest' will move to the most recent. Any other value will raise the exception. Default: 'latest'. enable_auto_commit (bool): If True , the consumer's offset will be periodically committed in the background. Default: True. auto_commit_interval_ms (int): Number of milliseconds between automatic offset commits, if enable_auto_commit is True. Default: 5000. default_offset_commit_callback (callable): Called as callback(offsets, response) response will be either an Exception or an OffsetCommitResponse struct. This callback can be used to trigger custom actions when a commit request completes. check_crcs (bool): Automatically check the CRC32 of the records consumed. This ensures no on-the-wire or on-disk corruption to the messages occurred. This check adds some overhead, so it may be disabled in cases seeking extreme performance. Default: True isolation_level (str): Configure KIP-98 transactional consumer by setting to 'read_committed'. This will cause the consumer to skip records from aborted transactions. Default: 'read_uncommitted' allow_auto_create_topics (bool): Enable/disable auto topic creation on metadata request. Only available with api_version >= (0, 11). Default: True metadata_max_age_ms (int): The period of time in milliseconds after which we force a refresh of metadata, even if we haven't seen any partition leadership changes to proactively discover any new brokers or partitions. Default: 300000 partition_assignment_strategy (list): List of objects to use to distribute partition ownership amongst consumer instances when group management is used. Default: [RangePartitionAssignor, RoundRobinPartitionAssignor] max_poll_records (int): The maximum number of records returned in a single call to :meth:`~kafka.KafkaConsumer.poll`. Default: 500 max_poll_interval_ms (int): The maximum delay between invocations of :meth:`~kafka.KafkaConsumer.poll` when using consumer group management. This places an upper bound on the amount of time that the consumer can be idle before fetching more records. If :meth:`~kafka.KafkaConsumer.poll` is not called before expiration of this timeout, then the consumer is considered failed and the group will rebalance in order to reassign the partitions to another member. Default 300000 session_timeout_ms (int): The timeout used to detect failures when using Kafka's group management facilities. The consumer sends periodic heartbeats to indicate its liveness to the broker. If no heartbeats are received by the broker before the expiration of this session timeout, then the broker will remove this consumer from the group and initiate a rebalance. Note that the value must be in the allowable range as configured in the broker configuration by group.min.session.timeout.ms and group.max.session.timeout.ms. Default: 10000 heartbeat_interval_ms (int): The expected time in milliseconds between heartbeats to the consumer coordinator when using Kafka's group management facilities. Heartbeats are used to ensure that the consumer's session stays active and to facilitate rebalancing when new consumers join or leave the group. The value must be set lower than session_timeout_ms, but typically should be set no higher than 1/3 of that value. It can be adjusted even lower to control the expected time for normal rebalances. Default: 3000 receive_buffer_bytes (int): The size of the TCP receive buffer (SO_RCVBUF) to use when reading data. Default: None (relies on system defaults). The java client defaults to 32768. send_buffer_bytes (int): The size of the TCP send buffer (SO_SNDBUF) to use when sending data. Default: None (relies on system defaults). The java client defaults to 131072. socket_options (list): List of tuple-arguments to socket.setsockopt to apply to broker connection sockets. Default: [(socket.IPPROTO_TCP, socket.TCP_NODELAY, 1)] consumer_timeout_ms (int): number of milliseconds to block during message iteration before raising StopIteration (i.e., ending the iterator). Default block forever [float('inf')]. security_protocol (str): Protocol used to communicate with brokers. Valid values are: PLAINTEXT, SSL, SASL_PLAINTEXT, SASL_SSL. Default: PLAINTEXT. ssl_context (ssl.SSLContext): Pre-configured SSLContext for wrapping socket connections. If provided, all other ssl_* configurations will be ignored. Default: None. ssl_check_hostname (bool): Flag to configure whether ssl handshake should verify that the certificate matches the brokers hostname. Default: True. ssl_cafile (str): Optional filename of ca file to use in certificate verification. Default: None. ssl_certfile (str): Optional filename of file in pem format containing the client certificate, as well as any ca certificates needed to establish the certificate's authenticity. Default: None. ssl_keyfile (str): Optional filename containing the client private key. Default: None. ssl_password (str): Optional password to be used when loading the certificate chain. Default: None. ssl_crlfile (str): Optional filename containing the CRL to check for certificate expiration. By default, no CRL check is done. When providing a file, only the leaf certificate will be checked against this CRL. The CRL can only be checked with Python 3.4+ or 2.7.9+. Default: None. ssl_ciphers (str): optionally set the available ciphers for ssl connections. It should be a string in the OpenSSL cipher list format. If no cipher can be selected (because compile-time options or other configuration forbids use of all the specified ciphers), an ssl.SSLError will be raised. See ssl.SSLContext.set_ciphers api_version (tuple): Specify which Kafka API version to use. If set to None, the client will attempt to determine the broker version via ApiVersionsRequest API or, for brokers earlier than 0.10, probing various known APIs. Dynamic version checking is performed eagerly during __init__ and can raise NoBrokersAvailableError if no connection was made before timeout (see api_version_auto_timeout_ms below). Different versions enable different functionality. Examples: (3, 9) most recent broker release, enable all supported features (0, 11) enables message format v2 (internal) (0, 10, 0) enables sasl authentication and message format v1 (0, 9) enables full group coordination features with automatic partition assignment and rebalancing, (0, 8, 2) enables kafka-storage offset commits with manual partition assignment only, (0, 8, 1) enables zookeeper-storage offset commits with manual partition assignment only, (0, 8, 0) enables basic functionality but requires manual partition assignment and offset management. Default: None api_version_auto_timeout_ms (int): number of milliseconds to throw a timeout exception from the constructor when checking the broker api version. Only applies if api_version set to None. Default: 2000 connections_max_idle_ms: Close idle connections after the number of milliseconds specified by this config. The broker closes idle connections after connections.max.idle.ms, so this avoids hitting unexpected socket disconnected errors on the client. Default: 540000 metric_reporters (list): A list of classes to use as metrics reporters. Implementing the AbstractMetricsReporter interface allows plugging in classes that will be notified of new metric creation. Default: [] metrics_enabled (bool): Whether to track metrics on this instance. Default True. metrics_num_samples (int): The number of samples maintained to compute metrics. Default: 2 metrics_sample_window_ms (int): The maximum age in milliseconds of samples used to compute metrics. Default: 30000 selector (selectors.BaseSelector): Provide a specific selector implementation to use for I/O multiplexing. Default: selectors.DefaultSelector exclude_internal_topics (bool): Whether records from internal topics (such as offsets) should be exposed to the consumer. If set to True the only way to receive records from an internal topic is subscribing to it. Requires 0.10+ Default: True sasl_mechanism (str): Authentication mechanism when security_protocol is configured for SASL_PLAINTEXT or SASL_SSL. Valid values are: PLAIN, GSSAPI, OAUTHBEARER, SCRAM-SHA-256, SCRAM-SHA-512. sasl_plain_username (str): username for sasl PLAIN and SCRAM authentication. Required if sasl_mechanism is PLAIN or one of the SCRAM mechanisms. sasl_plain_password (str): password for sasl PLAIN and SCRAM authentication. Required if sasl_mechanism is PLAIN or one of the SCRAM mechanisms. sasl_kerberos_name (str or gssapi.Name): Constructed gssapi.Name for use with sasl mechanism handshake. If provided, sasl_kerberos_service_name and sasl_kerberos_domain name are ignored. Default: None. sasl_kerberos_service_name (str): Service name to include in GSSAPI sasl mechanism handshake. Default: 'kafka' sasl_kerberos_domain_name (str): kerberos domain name to use in GSSAPI sasl mechanism handshake. Default: one of bootstrap servers sasl_oauth_token_provider (kafka.sasl.oauth.AbstractTokenProvider): OAuthBearer token provider instance. Default: None socks5_proxy (str): Socks5 proxy URL. Default: None kafka_client (callable): Custom class / callable for creating KafkaClient instances Note: Configuration parameters are described in more detail at https://kafka.apache.org/documentation/#consumerconfigs bootstrap_servers localhost client_idz kafka-python-group_idNkey_deserializervalue_deserializer!enable_incremental_fetch_sessionsTfetch_max_wait_msifetch_min_bytesfetch_max_bytesi max_partition_fetch_bytesirequest_timeout_msihretry_backoff_msdreconnect_backoff_ms2reconnect_backoff_max_msi0u%max_in_flight_requests_per_connectionauto_offset_resetlatestenable_auto_commitauto_commit_interval_msidefault_offset_commit_callbackcg)NT)offsetsresponses :/venv/lib/python3.13/site-packages/kafka/consumer/group.pyKafkaConsumer.&sD check_crcsisolation_levelread_uncommittedallow_auto_create_topicsmetadata_max_age_msipartition_assignment_strategymax_poll_recordsmax_poll_interval_mssession_timeout_msi'heartbeat_interval_msi receive_buffer_bytessend_buffer_bytessocket_optionssock_chunk_bytesisock_chunk_buffer_countconsumer_timeout_msinfsecurity_protocol PLAINTEXT ssl_contextssl_check_hostname ssl_cafile ssl_certfile ssl_keyfile ssl_crlfile ssl_password ssl_ciphers api_versionapi_version_auto_timeout_msiconnections_max_idle_msi`=metric_reportersmetrics_enabledmetrics_num_samplesmetrics_sample_window_msmetric_group_prefixconsumerkafka) selectorexclude_internal_topicssasl_mechanismsasl_plain_usernamesasl_plain_passwordsasl_kerberos_namesasl_kerberos_service_namesasl_kerberos_domain_namesasl_oauth_token_provider socks5_proxy kafka_clientc[U5RUR5nU(a[SU<35e[R"UR5UlUR R U5 SSS.nUR SU;aBX@R Sn[RSXPR S5 XPR S'UR SnUR SnUR S nXs=:aU:dO [S RXgU55eUR S (ajS UR S 0n [UR SUR SU S9n UR SV s/sH o"5PM n n [X5Ul OSUl [UR S[5(aUR Sn U S:XaSUR S'O5[[!["U R%S555UR S'[RS[UR S5U 5 UR S"S$SUR0UR D6UlUR&R SUR S'UR SS:aZSU;a2SU;aUSUR S'OUR(UR S'SU;aUR SUR S'UR SbNUR SUR S::a.[SUR S<SUR S<S35e[+UR S5Ul[/UR&UR,4SUR0UR D6Ul[3UR&UR,4URUR SS .UR D6UlS!UlSUl[;S"5UlU(a5UR,R?US#9 UR&RAU5 ggs sn f)%NzUnrecognized configs: earliestr/)smallestlargestr.z+use auto_offset_reset=%s (%s is deprecated)rYr&r!zzconnections_max_idle_ms ({}) must be larger than request_timeout_ms ({}) which must be larger than fetch_max_wait_ms ({}).r[z client-idrr\r^)samplestime_window_mstagsrZrWauto.z7use api_version=%s [tuple] -- "%s" as str is deprecatedrlmetrics)r r#rCrBrzRequest timeout (z') must be larger than session timeout ()r@)rv assignorsFrL)topicsr4)!set differenceDEFAULT_CONFIGrcopyconfigupdatelogwarningformatrr_metrics isinstancestrtuplemapintsplit_clientDEFAULT_SESSION_TIMEOUT_MS_0_9r _subscriptionr _fetcherr _coordinator_closed _iteratorfloat_consumer_timeout subscribe set_topics)selfrzconfigs extra_configs deprecated new_configrYr&r! metrics_tags metric_configreporter reporters str_versions r7__init__KafkaConsumer.__init__UsG //0C0CD ) *WX Xii 3 34  7#",B ;;* +z 9#KK0C$DEJ KKE"KK0C$D F/9KK+ ,"&++.G"H![[)=> KK(;<!P9PP)*/EVW Y Y ;;( )'[)ABL(=R1S8< D^8_.:2X4==XDKKX &*\\%8%8%G M" ;;} % 2#72)W48?@V8WDKK 458<8[8[DKK 45%W46:kkBV6W 23 ;;z " .{{/0DKK@T4UU-[[!56 DX8Y[\\/t{{;N/OP LL$,,T6:mmTGK{{T / LL$,,6:mmkk"ABkk !&u     ( ( ( 7 LL # #F + eUsQ8c6URR5$)z*Return True if the bootstrap is connected.)rbootstrap_connectedrs r7r!KafkaConsumer.bootstrap_connecteds||//11r:c>U(dUR5 gURR5 URR U5 UR R UVs/sHo"RPM sn5 [RSU5 gs snf)a,Manually assign a list of TopicPartitions to this consumer. Arguments: partitions (list of TopicPartition): Assignment for this instance. Raises: IllegalStateError: If consumer has already called :meth:`~kafka.KafkaConsumer.subscribe`. Warning: It is not possible to use both manual partition assignment with :meth:`~kafka.KafkaConsumer.assign` and group assignment with :meth:`~kafka.KafkaConsumer.subscribe`. Note: This interface does not support incremental assignment and will replace the previous assignment (if there was one). Note: Manual topic assignment through this method does not use the consumer's group management functionality. As such, there will be no rebalance operation triggered when group membership or cluster and topic metadata change. zSubscribed to partition(s): %sN) unsubscribermaybe_auto_commit_offsets_nowrassign_from_userrrtopicrdebug)r partitionstps r7assignKafkaConsumer.assignss2        ; ; =    / / ; LL # # $C "XX $C D II6 C%Ds'Bc6URR5$)aGet the TopicPartitions currently assigned to this consumer. If partitions were directly assigned using :meth:`~kafka.KafkaConsumer.assign`, then this will simply return the same partitions that were previously assigned. If topics were subscribed using :meth:`~kafka.KafkaConsumer.subscribe`, then this will give the set of topic partitions currently assigned to the consumer (which may be None if the assignment hasn't happened yet, or if the partitions are in the process of being reassigned). Returns: set: {TopicPartition, ...} )rassigned_partitionsrs r7 assignmentKafkaConsumer.assignments!!5577r:cUR(ag[RS5 SUlURR XS9 UR (aUR R 5 UR R 5 URSR 5 URSR 5 [RS5 g![a N@f=f![a N2f=f)aClose the consumer, waiting indefinitely for any needed cleanup. Keyword Arguments: autocommit (bool): If auto-commit is configured for this consumer, this optional flag causes the consumer to attempt to commit any pending consumed offsets prior to close. Default: True timeout_ms (num, optional): Milliseconds to wait for auto-commit. Default: None NzClosing the KafkaConsumer.T) autocommit timeout_msrrzThe KafkaConsumer has closed.) rrrrcloserrrAttributeError)rrrs r7rKafkaConsumer.closes <<  ./  :M == MM   !   KK* + 1 1 3  KK, - 3 3 5 12       s$C,C/ C,+C,/ C<;C<cURSS:dS5eURScS5eUcURR5n[R SU5 UR R XS9nU$)acCommit offsets to kafka asynchronously, optionally firing callback. This commits offsets only to Kafka. The offsets committed using this API will be used on the first fetch after every rebalance and also on startup. As such, if you need to store offsets in anything other than Kafka, this API should not be used. To avoid re-processing the last message read if a consumer is restarted, the committed offset should be the next message your application should consume, i.e.: last_offset + 1. This is an asynchronous call and will not block. Any errors encountered are either passed to the callback (if provided) or discarded. Arguments: offsets (dict, optional): {TopicPartition: OffsetAndMetadata} dict to commit with the configured group_id. Defaults to currently consumed offsets for all subscribed partitions. callback (callable, optional): Called as callback(offsets, response) with response as either an Exception or an OffsetCommitResponse struct. This callback can be used to trigger custom actions when a commit request completes. Returns: kafka.future.Future rWrr#Requires >= Kafka 0.8.1rRequires group_idzCommitting offsets: %s)callback)rrall_consumed_offsetsrrrcommit_offsets_async)rr5rfutures r7 commit_asyncKafkaConsumer.commit_asyncs2{{=)Y6Q8QQ6{{:&2G4GG2 ?((==?G *G4""77 8( r:cURSS:dS5eURScS5eUcURR5nURR XS9 g)auCommit offsets to kafka, blocking until success or error. This commits offsets only to Kafka. The offsets committed using this API will be used on the first fetch after every rebalance and also on startup. As such, if you need to store offsets in anything other than Kafka, this API should not be used. To avoid re-processing the last message read if a consumer is restarted, the committed offset should be the next message your application should consume, i.e.: last_offset + 1. Blocks until either the commit succeeds or an unrecoverable error is encountered (in which case it is thrown to the caller). Currently only supports kafka-topic offset storage (not zookeeper). Arguments: offsets (dict, optional): {TopicPartition: OffsetAndMetadata} dict to commit with the configured group_id. Defaults to currently consumed offsets for all subscribed partitions. rWrrrNrr)rrrrcommit_offsets_sync)rr5rs r7commitKafkaConsumer.commitsl({{=)Y6Q8QQ6{{:&2G4GG2 ?((==?G --g-Mr:cURSS:dS5eURScS5e[U[5(d [S5eURR U/US9nX;agU(aXA$XAR $) aGet the last committed offset for the given partition. This offset will be used as the position for the consumer in the event of a failure. This call will block to do a remote call to get the latest committed offsets from the server. Arguments: partition (TopicPartition): The partition to check. metadata (bool, optional): If True, return OffsetAndMetadata struct instead of offset int. Default: False. Returns: The last committed offset (int or OffsetAndMetadata), or None if there was no prior commit. Raises: KafkaTimeoutError if timeout_ms provided BrokerResponseErrors if OffsetFetchRequest raises an error. rWrrrNr-partition must be a TopicPartition namedtupler)rrr TypeErrorrfetch_committed_offsetsoffset)r partitionmetadatar committeds r7rKafkaConsumer.committed9s*{{=)Y6Q8QQ6{{:&2G4GG2)^44KL L%%==ykV`=a  %'/y#PY5I5P5PPr:crURRnURR(aDURR(a)UR 5nURR US9 UR nSUlUR 5nURR US9 X1lg)zoA blocking call that fetches topic metadata for all topics in the cluster that the user is authorized to view. )rTN)rcluster_metadata_refresh_in_progress_topicsrequest_updatepollneed_all_topic_metadata)rrrstashs r7_fetch_all_topic_metadata'KafkaConsumer._fetch_all_topic_metadataWs,,&& << 5 5$,,:N:N++-F LL  V  ,//*.''') (*/'r:cjUR5 URRR5$)zGet all topics the user is authorized to view. This will always issue a remote call to the cluster to fetch the latest information. Returns: set: topics )rrrrzrs r7rzKafkaConsumer.topicses) &&(||##**,,r:cURRnURU5nUc!UR5 URU5nU=(d [ 5$)avThis method first checks the local metadata cache for information about the topic. If the topic is not found (either because the topic does not exist, the user is not authorized to view the topic, or the metadata cache is not populated), then it will issue a metadata update call to the cluster. Arguments: topic (str): Topic to check. Returns: set: Partition ids )rrpartitions_for_topicrr{)rrrrs r7r"KafkaConsumer.partitions_for_topicpsR,,&&11%8    * * , 55e >>  ++&89K+s++M-MM+Q> >><<:!::j!,,ooeoXG ,,,  r:cURRURS9(d[R S5 0$UR URS9nUR RX#S9upV[R SXV5 U(dX[R S5 UR R5n[U5(aURRSS9 U(aU$[URURR5S-5nU(d-[R S5 [XRS 5nURRUS9 URR5(a[R S 5 0$UR RX#S9upYU$) aDo one round of polling. In addition to checking for new data, this does any needed heart-beating, auto-commits, and offset updates. Arguments: timer (Timer): The maximum time in milliseconds to block. Returns: dict: Map of topic to list of records (may be empty). rz8poll: timeout during coordinator.poll(); returning earlyrzpoll: fetched records: %s, %szpoll: Sending fetchesrrJz(poll: do not have all fetch positions...r'z/poll: coordinator needs rejoin; returning early)rrrrr_update_fetch_positionsrfetched_records send_fetcheslenrmintime_to_next_pollr need_rejoin) rrrrhas_all_fetch_positionsrpartialfuturespoll_timeout_ms_s r7rKafkaConsumer._poll_oncesk  %%1A1A%B IIP QI"&">">%JZJZ">"[ ==888d 17D  II- .mm002G7|| !!Q!/ Ne..0A0A0S0S0UX\0\]& II@ A!/;;?Q3RSO _5    ( ( * * IIG HI]]22;2^ r:c[U[5(d [S5eURR U5(dS5e[ U5nURR URnUcYURURS9(a$URR URnOUR(agUcMYUR$)zGet the offset of the next record that will be fetched Arguments: partition (TopicPartition): Partition to check Returns: int: Offset or None rPartition is not assignedNr) rrrr is_assignedrrpositionrrrr)rrrrrs r7rKafkaConsumer.positions)^44KL L!!--i88U:UU8j!%%00;DD++u7G7G+H--88CLL ?? "r:c[U[5(d [S5eURR U5(dS5eURR UR $)adLast known highwater offset for a partition. A highwater offset is the offset that will be assigned to the next message that is produced. It may be useful for calculating lag, by comparing with the reported position. Note that both position and highwater refer to the *next* offset -- i.e., highwater offset is one greater than the newest available message. Highwater offsets are returned in FetchResponse messages, so will not be available if no FetchRequests have been sent for this partition yet. Arguments: partition (TopicPartition): Partition to check Returns: int or None: Offset if available rr)rrrrrr highwater)rrs r7rKafkaConsumer.highwaters]&)^44KL L!!--i88U:UU8!!,,Y7AAAr:c [UVs/sHn[U[5PM sn5(d [S5eUH4n[R SU5 UR RU5 M6 gs snf)aSuspend fetching from the requested partitions. Future calls to :meth:`~kafka.KafkaConsumer.poll` will not return any records from these partitions until they have been resumed using :meth:`~kafka.KafkaConsumer.resume`. Note: This method does not affect partition subscription. In particular, it does not cause a group rebalance when automatic assignment is used. Arguments: *partitions (TopicPartition): Partitions to pause. -partitions must be TopicPartition namedtupleszPausing partition %sN)allrrrrrrpauserrprs r7rKafkaConsumer.pausesd:F:aJq.1:FGGKL L#I II,i 8    $ $Y /$GA6c6URR5$)zGet the partitions that were previously paused using :meth:`~kafka.KafkaConsumer.pause`. Returns: set: {partition (TopicPartition), ...} )rpaused_partitionsrs r7pausedKafkaConsumer.paused+s!!3355r:c [UVs/sHn[U[5PM sn5(d [S5eUH4n[R SU5 UR RU5 M6 gs snf)z|Resume fetching from the specified (paused) partitions. Arguments: *partitions (TopicPartition): Partitions to resume. rzResuming partition %sN)rrrrrrrresumers r7rKafkaConsumer.resume4sd :F:aJq.1:FGGKL L#I II-y 9    % %i 0$GrcZ[U[5(d [S5e[U[5(aUS:dS5eXRR 5;dS5e[ RSX!5 URRURU5 SUl g)aManually specify the fetch offset for a TopicPartition. Overrides the fetch offsets that the consumer will use on the next :meth:`~kafka.KafkaConsumer.poll`. If this API is invoked for the same partition more than once, the latest offset will be used on the next :meth:`~kafka.KafkaConsumer.poll`. Note: You may lose data if this API is arbitrarily used in the middle of consumption to reset the fetch offsets. Arguments: partition (TopicPartition): Partition for seek operation offset (int): Message offset in partition Raises: AssertionError: If offset is not an int >= 0; or if partition is not currently assigned. rrzOffset must be >= 0Unassigned partitionz%Seeking to offset %s for partition %sN) rrrrrrrrrseekr)rrrs r7rKafkaConsumer.seek@s&)^44KL L&#&&6Q;M8MM6..BBDD\F\\D 96M %%i055f=r:c [UVs/sHn[U[5PM sn5(d [S5eU(d)URR 5nU(dS5eO-UH'nX RR 5;aM"S5e UHCn[ RSU5 URRU[R5 ME SUl gs snf)a'Seek to the oldest available offset for partitions. Arguments: *partitions: Optionally provide specific TopicPartitions, otherwise default to all assigned partitions. Raises: AssertionError: If any partition is not currently assigned, or if no partitions are assigned. r$No partitions are currently assignedrz$Seeking to beginning of partition %sN) rrrrrrrrrequest_offset_resetrEARLIESTrrrrrs r7seek_to_beginningKafkaConsumer.seek_to_beginning[s:F:aJq.1:FGGKL L++??AJ EE E:..BBDD\F\\D B IIUnsubscribe from all topics and clear all assigned partitions.rWr Fz;Unsubscribed all topics or patterns and assigned partitionsN) rrrrrmaybe_leave_grouprrrrrrrrs r7rKafkaConsumer.unsubscribes 779 &&( ;;} % /    / / 17< 4 # OPr:cUR(dgU(a$URRR5$0n[R"URRR55Hup4UR U;a0X#R 'UR X#R ;a0X#R UR 'UR5X#R UR 'M U$)zGet metrics on consumer performance. This is ported from the Java Consumer, for details see: https://kafka.apache.org/documentation/#consumer_monitoring Warning: This is an unstable interface. It may change in future releases without warning. N)rrvr~r iteritemsgroupnamevalue)rrawrvkvs r7rvKafkaConsumer.metricss}}  ==((--/ /MM$--"7"7"<"<">?DAwwg%#% vvWWW--+- ('(wwyGGG QVV $ @ r:c^URSS::a'[SRURS55e[R"U5H2up#[ U5X'US:dM[ SRX#55e URRXRS5$)aLook up the offsets for the given partitions by timestamp. The returned offset for each partition is the earliest offset whose timestamp is greater than or equal to the given timestamp in the corresponding partition. This is a blocking call. The consumer does not have to be assigned the partitions. If the message format version in a partition is before 0.10.0, i.e. the messages do not have timestamps, ``None`` will be returned for that partition. ``None`` will also be returned for the partition if there are no messages in it. Note: This method may block indefinitely if the partition does not exist. Arguments: timestamps (dict): ``{TopicPartition: int}`` mapping from partition to the timestamp to look up. Unit should be milliseconds since beginning of the epoch (midnight Jan 1, 1970 (UTC)) Returns: ``{TopicPartition: OffsetAndTimestamp}``: mapping from partition to the timestamp and offset of the first message with timestamp greater than or equal to the target timestamp. Raises: ValueError: If the target timestamp is negative UnsupportedVersionError: If the broker does not support looking up the offsets by timestamp. KafkaTimeoutError: If fetch failed in request_timeout_ms rW)rrwrz:offsets_for_times API not supported for cluster version {}rzKThe target time for partition {} is {}. The target time cannot be negative.r&) rrrrr.r ValueErrorroffsets_by_times)r timestampsrtss r7offsets_for_timesKafkaConsumer.offsets_for_timessB ;;} % 3)L M235 5mmJ/FB WJNAv **0&.::0 }}--  $89; ;r:cVURRXRS5nU$)aDGet the first offset for the given partitions. This method does not change the current consumer position of the partitions. Note: This method may block indefinitely if the partition does not exist. Arguments: partitions (list): List of TopicPartition instances to fetch offsets for. Returns: ``{TopicPartition: int}``: The earliest available offsets for the given partitions. Raises: UnsupportedVersionError: If the broker does not support looking up the offsets by timestamp. KafkaTimeoutError: If fetch failed in request_timeout_ms. r&)rbeginning_offsetsrrrr5s r7r>KafkaConsumer.beginning_offsets#s*,--11  $89;r:cVURRXRS5nU$)aGet the last offset for the given partitions. The last offset of a partition is the offset of the upcoming message, i.e. the offset of the last available message + 1. This method does not change the current consumer position of the partitions. Note: This method may block indefinitely if the partition does not exist. Arguments: partitions (list): List of TopicPartition instances to fetch offsets for. Returns: ``{TopicPartition: int}``: The end offsets for the given partitions. Raises: UnsupportedVersionError: If the broker does not support looking up the offsets by timestamp. KafkaTimeoutError: If fetch failed in request_timeout_ms r&)r end_offsetsrr?s r7rBKafkaConsumer.end_offsets=s*.--++  $89;r:cURSS:agURScgURR5(dgg)zIReturn True iff this consumer can/should join a broker-coordinated group.rWr)FrT)rrpartitions_auto_assignedrs r7_use_consumer_group!KafkaConsumer._use_consumer_groupXsC ;;} % . [[ $ ,##<<>>r:c8URR5(agURSS:a/URSbURR US9(dgURR 5 UR R5(+$)aSet the fetch position to the committed position (if there is one) or reset it using the offset reset policy the user has configured. Arguments: partitions (List[TopicPartition]): The partitions that need updating fetch positions. Returns True if fetch positions updated, False if timeout or async reset is pending Raises: NoOffsetForPartitionError: If no offset is stored for a given partition and no offset reset policy is defined. TrWrrrF)rrrr#refresh_committed_offsets_if_neededreset_missing_positionsrreset_offsets_if_needed)rrs r7r%KafkaConsumer._update_fetch_positionsbs    5 5 7 7 KK &) 3 KK # / $$HHT^H_ 224==88:::r:c## S[SUR[R"5- 5-nURUSS9n[R "U5Hup4UHvnUR RU5(d[RSU5 MC[URS-SS5UR RUl Uv Mx M g7f) NrJrF)rrzNNot returning fetched records for partition %s since it is no longer fetchabler#)maxrtimerrr.r is_fetchablerrrrrr)rr record_maprrrecords r7_message_generator_v2#KafkaConsumer._message_generator_v2sC4#9#9DIIK#GHH YY*UYK ==4KB" ))66r::IIABDF=Nv}}_`O`bdfh=i""--b1: " 5sCCcU$Nr4rs r7__iter__KafkaConsumer.__iter__s r:cUR(a [S5eUR5 [R"5UR:a<UR (dUR 5Ul[UR 5$[5e![a SUlOf=f[R"5UR:aMNG)NzKafkaConsumer closed)r StopIteration_set_consumer_timeoutrQrrrUnextrs r7__next__KafkaConsumer.__next__s << 67 7 ""$iikD222>>!%!;!;!= &DNN++o! &!% & iikD222s7BB*)B*cURSS:a.[R"5URSS- -Ulgg)NrKrg@@)rrQrrs r7r]#KafkaConsumer._set_consumer_timeouts> ;;, - 2%)YY[ 12V;&=D " 3r:) rrrrrrrrr)TN)NN)FN)rNT)TrX)r4NN)F)4__name__ __module__ __qualname____firstlineno____doc__rrrsocket IPPROTO_TCP TCP_NODELAYrr DefaultSelectorr r}rrrrrrrrrrrzrrrrrrr rrrrrr&rrvr;r>rBrFrrUrYr_r]__static_attributes__r4r:r7rrsvn?[?_{2? D? D ? d ? ,T ? S? 1? 8? $_? f? C? ? #E? 0? X!?" d#?$ "4%?& )*H'?( d)?* -+?, #D-?. }/?0 (*@B])^1?2 C3?4 5?6 e7?8 9?: ;?< T=?> F..0B0BAFG??@ DA?B "4C?D uU|E?F [G?H tI?J dK?L dM?N O?P tQ?R tS?T U?V tW?X tY?Z &t[?\ "=]?^ B_?` 4a?b qc?d #Ee?f zg?h--#'##"&-%)%)#}?N@&+"S,j2!DF8 38 DN4Q< 0 -#(-^0d#0B00,6 16227r~s`0  \\5*?:DN/;;% !R=CLLR=r: