From de40923c67e759e23debe3251cfc7d2240a6787b Mon Sep 17 00:00:00 2001 From: Tsung-Ju Lii Date: Mon, 27 Nov 2023 22:22:46 +0800 Subject: [PATCH] Add Kafka crawler (#701) * [wip] add kafka crawler * use newest models * finish first version of the crawler * bump version * forgot dependency * add some test * fix poetry lock * make mypy happy Signed-off-by: Tsung-Ju Lii * finish test * make mypy happy Signed-off-by: Tsung-Ju Lii * bump version * address comments * address comments * add schema resolver * refactor configs * tests for schema resolver * address comments and add auth configs * use official docker compose, and only use rest proxy to do things * fix test * bump version * add entityType and datasetStructure --------- Signed-off-by: Tsung-Ju Lii --- metaphor/common/filter.py | 50 + metaphor/kafka/README.md | 179 +++ metaphor/kafka/__init__.py | 6 + metaphor/kafka/config.py | 202 +++ metaphor/kafka/docker-compose.yml | 58 + metaphor/kafka/extractor.py | 100 ++ metaphor/kafka/schema_resolver.py | 132 ++ poetry.lock | 1838 ++++++++++++++------------- pyproject.toml | 8 +- tests/kafka/expected.json | 43 + tests/kafka/test_config.py | 41 + tests/kafka/test_extractor.py | 64 + tests/kafka/test_schema_resolver.py | 224 ++++ 13 files changed, 2048 insertions(+), 897 deletions(-) create mode 100644 metaphor/kafka/README.md create mode 100644 metaphor/kafka/__init__.py create mode 100644 metaphor/kafka/config.py create mode 100644 metaphor/kafka/docker-compose.yml create mode 100644 metaphor/kafka/extractor.py create mode 100644 metaphor/kafka/schema_resolver.py create mode 100644 tests/kafka/expected.json create mode 100644 tests/kafka/test_config.py create mode 100644 tests/kafka/test_extractor.py create mode 100644 tests/kafka/test_schema_resolver.py diff --git a/metaphor/common/filter.py b/metaphor/common/filter.py index 427df0f0..953d7f80 100644 --- a/metaphor/common/filter.py +++ b/metaphor/common/filter.py @@ -220,3 +220,53 @@ def include_database( return False return True + + +@dataclass +class TopicFilter: + includes: Optional[TableFilter] = None + excludes: Optional[TableFilter] = None + + def merge(self, filter: "TopicFilter") -> "TopicFilter": + """Merge with another filter and return a shallow copy""" + + def merge_filters(f1: Optional[TableFilter], f2: Optional[TableFilter]): + return f1 if f2 is None else f2 if f1 is None else {*f1, *f2} + + return TopicFilter( + includes=merge_filters(self.includes, filter.includes), + excludes=merge_filters(self.excludes, filter.excludes), + ) + + def normalize(self) -> "TopicFilter": + def normalize_table_filter( + table_filter: Optional[TableFilter], + ) -> Optional[TableFilter]: + if table_filter is None: + return None + else: + return set([v.lower() for v in table_filter]) + + includes = ( + normalize_table_filter(self.includes) if self.includes is not None else None + ) + excludes = ( + normalize_table_filter(self.excludes) if self.excludes is not None else None + ) + + return TopicFilter(includes=includes, excludes=excludes) + + def _accepted_by_filter(self, topic: str, table_filter: TableFilter): + for pattern in table_filter: + if fnmatch(topic, pattern): + return True + return False + + def include_topic(self, topic: str) -> bool: + if self.includes is not None and not self._accepted_by_filter( + topic, self.includes + ): + return False + if self.excludes is not None and self._accepted_by_filter(topic, self.excludes): + return False + return True diff --git a/metaphor/kafka/README.md b/metaphor/kafka/README.md new file mode 100644 index 00000000..6577a0e7 --- /dev/null +++ b/metaphor/kafka/README.md @@ -0,0 +1,179 @@ +# Kafka Connector + +This connector extracts technical metadata from Kafka using [Confluent's Python Client](https://github.com/confluentinc/confluent-kafka-python). + +## Setup + +To run a Kafka cluster locally, follow the instructions below: + +1. Start a Kafka cluster (broker + schema registry + REST proxy) locally via docker-compose: +```shell +$ docker-compose --file metaphor/kafka/docker-compose.yml up -d +``` + - Broker is on port 9092. + - Schema registry is on port 8081. + - REST proxy is on port 8082. +2. Find the cluster ID: +```shell +$ curl -X GET --silent http://localhost:8082/v3/clusters/ | jq '.data[].cluster_id' +``` +3. Register a new topic via the REST proxy: +```shell +curl -X POST -H "Content-Type: application/json" http://localhost:8082/v3/clusters//topics -d '{"topic_name": ""}'| jq . +``` +4. Register a schema to the registry: +```shell +curl -X POST -H "Content-Type: application/vnd.schemaregistry.v1+json" --data '{"schema": }' http://localhost:8081/subjects/-/version +``` + - It is possible to have schema with name different to the topic. See `Topic <-> Schema Subject Mapping` section below for more info. + +## Config File + +Create a YAML config file based on the following template. + +### Required Configurations + +You must specify at least one bootstrap server, i.e. a pair of host and port pointing to the Kafka broker instance. You must also specify a URL for the schema registry. + +```yaml +bootstrap_servers: + - host: + port: +schema_registry_url: # Schema Registry URL. Schema registry client supports URL with basic HTTP authentication values, i.e. `http://username:password@host:port`. +output: + file: + directory: +``` + +See [Output Config](../common/docs/output.md) for more information on `output`. + +### Optional Configurations + +#### Kafka Admin Client + +##### Common SASL Authentication Configurations + +Some most commonly used SASL authentication configurations have their own section: + +```yaml +sasl_config: + username: # SASL username for use with the `PLAIN` and `SASL-SCRAM-..` mechanisms. + password: # SASL password for use with the `PLAIN` and `SASL-SCRAM-..` mechanisms. + mechanism: # SASL mechanism to use for authentication. Supported: `GSSAPI`, `PLAIN`, `SCRAM-SHA-256`, `SCRAM-SHA-512`, `OAUTHBEARER`. Default: `GSSAPI`. +``` + +##### Other Configurations + +For other configurable values, please use `extra_admin_client_config` field: + +```yaml +extra_admin_client_config: + sasl.kerberos.service.name: "kafka" + sasl.kerberos.principal: "kafkaclient" + ... +``` + +Visit [https://github.com/confluentinc/librdkafka/blob/master/CONFIGURATION.md](https://github.com/confluentinc/librdkafka/blob/master/CONFIGURATION.md) for full list of available Kafka client configurations. + +#### Filtering + +You can filter the topics you want to include in the ingested result: + +```yaml +filter: + includes: + excludes: +``` + +By default the following topics are excluded: + +- `_schema` +- `__consumer_offsets` + +#### Topic <-> Schema Subject Mapping + +Kafka messages are sent as key / value pairs, and both can have their schemas defined in the schema registry. There are three strategies to map topic to schema subjects: + +##### Strategies + +###### Topic Name Strategy (Default) + +For a topic `foo`, the subjects for the schemas for the messages sent through this topic would be `foo-key` (the key schema subject) and `foo-value` (the value schema subject). + +###### Record Name Strategy + +It is possible for a topic to have more than one schema. In that case this strartegy can be useful. To enable this as default, add the following in the configuration file: + +```yaml +default_subject_name_strategy: RECORD_NAME_STRATEGY +topic_naming_strategies: + foo: + records: + - bar + - baz +``` + +This means topic `foo` can transmit the following schemas: + +- `bar-key` +- `bar-value` +- `baz-key` +- `baz-value` + +###### Topic Record Name Strategy + +This strategy is best demonstrated through an example: + +```yaml +default_subject_name_strategy: TOPIC_RECORD_NAME_STRATEGY +topic_naming_strategies: + foo: + records: + - bar + - baz + quax: + records: [] # If list of record names is empty, we take all subjects that starts with "-" and ends with "-" as topic subjects. +``` + +- For topic `foo`, the subjects it transmits are + - `foo-bar-key` + - `foo-bar-value` + - `foo-baz-key` + - `foo-baz-value` +- For topic `quax`, all subject that starts with `quax-` and ends with either `-key` or `-value` is considered a subject on topic `quax`. + +##### Overriding Subject Name Strategy for Specific Topics + +It is possible to override subject name strategy for specific topics: + +```yaml +default_subject_name_strategy: RECORD_NAME_STRATEGY +topic_naming_strategies: + foo: + records: + - bar + - baz + quax: + override_subject_name_strategy: TOPIC_NAME_STRATEGY +``` + +- The following subjects are transmitted through topic `foo`: + - `bar-key` + - `bar-value` + - `baz-key` + - `baz-value` +- For topic `quax`, since it uses `TOPIC_NAME_STRATEGY`, connector will look for the following 2 subjects: + - `quax-key` + - `quax-value` + +## Testing + +Follow the [Installation](../../README.md) instructions to install `metaphor-connectors` in your environment (or virtualenv). Make sure to include either `all` or `kafka` extra. + +To test the connector locally, change the config file to output to a local path and run the following command + +```shell +metaphor kafka +``` + +Manually verify the output after the run finishes. \ No newline at end of file diff --git a/metaphor/kafka/__init__.py b/metaphor/kafka/__init__.py new file mode 100644 index 00000000..944307d9 --- /dev/null +++ b/metaphor/kafka/__init__.py @@ -0,0 +1,6 @@ +from metaphor.common.cli import cli_main +from metaphor.kafka.extractor import KafkaExtractor + + +def main(config_file: str): + cli_main(KafkaExtractor, config_file) diff --git a/metaphor/kafka/config.py b/metaphor/kafka/config.py new file mode 100644 index 00000000..be7d58ac --- /dev/null +++ b/metaphor/kafka/config.py @@ -0,0 +1,202 @@ +from dataclasses import field as dataclass_field +from enum import Enum +from typing import Any, Dict, List, Optional + +from pydantic import BaseModel, field_validator, model_validator +from pydantic.dataclasses import dataclass + +from metaphor.common.base_config import BaseConfig +from metaphor.common.dataclass import ConnectorConfig +from metaphor.common.filter import TopicFilter + + +class KafkaBootstrapServer(BaseModel): + host: str + port: int + + +class KafkaSubjectNameStrategy(Enum): + """ + The naming strategy from topic to subject. + """ + + TOPIC_NAME_STRATEGY = "TOPIC_NAME_STRATEGY" + """ + The default strategy. Maps a topic to a single subject for its key and a single subject for its value. + + Resulting subject: + `-` + """ + + RECORD_NAME_STRATEGY = "RECORD_NAME_STRATEGY" + """ + Maps a topic to multiple fully qualified records, thus allowing multiple schemas for a single topic. + + To use this strategy, user will need to specify the records related to the topic. + + Resulting subject: + `-` + """ + + TOPIC_RECORD_NAME_STRATEGY = "TOPIC_RECORD_NAME_STRATEGY" + """ + Maps a topic to multiple fully qualified records and prefixes the record with the topic name. + + If user does not specify the records related to the topic, we will use whatever subjects we find + that starts with `topic` and ends with `key|value` as the related subjects. + + Resulting subject: + `--` + """ + + +@dataclass +class KafkaTopicNamingStrategy: + override_subject_name_strategy: Optional[KafkaSubjectNameStrategy] = None + """ + This will be resolved in `SchemaResolver` so that we always know what strategy we're + using for this topic. + """ + + records: List[str] = dataclass_field(default_factory=list) + """ + If the subject name strategy is `TopicNameStrategy`, this will be ignored. + + If the subject name strategy is `RecordNameStrategy`, this is mandatory for the topic to be + correctly ingested. + + If the subject name strategy is `TopicRecordNameStrategy` and `records` is empty / not defined, + all subjects that starts with topic and ends with `key|value` will be considered as a subject for + this topic. + """ + + @model_validator(mode="after") + def _record_name_strategy_must_have_topic_records_map( + self, + ) -> "KafkaTopicNamingStrategy": + if ( + self.override_subject_name_strategy is not None + and self.override_subject_name_strategy + is KafkaSubjectNameStrategy.RECORD_NAME_STRATEGY + and len(self.records) < 1 + ): + raise ValueError( + "Cannot have empty records when subject name strategy is RECORD_NAME_STRATEGY" + ) + return self + + +@dataclass +class KafkaSASLConfig: + """ + The most commonly used SASL configuration values. For other configurations, please use `extra_admin_client_config` field. + """ + + username: str + """ + SASL username for use with the `PLAIN` and `SASL-SCRAM-..` mechanisms. + + Config key: "sasl.username". + """ + + password: str + """ + SASL password for use with the `PLAIN` and `SASL-SCRAM-..` mechanisms. + + Config key: "sasl.password". + """ + + mechanism: str = "GSSAPI" + """ + SASL mechanism to use for authentication. Supported: `GSSAPI`, `PLAIN`, `SCRAM-SHA-256`, `SCRAM-SHA-512`, `OAUTHBEARER`. + + Config key: "sasl.mechanism". + """ + + @property + def as_dict(self) -> Dict[str, str]: + return { + "sasl.username": self.username, + "sasl.password": self.password, + "sasl.mechanism": self.mechanism, + } + + +@dataclass(config=ConnectorConfig) +class KafkaConfig(BaseConfig): + schema_registry_url: str + """ + Schema registry URL. + + Can contain basic HTTP auth username and password, e.g. + ``` + http://username:password@host:port + ``` + """ + + extra_admin_client_conf: Dict[str, Any] = dataclass_field(default_factory=dict) + """ + Extra configuration values for the Kafka admin client. See https://github.com/confluentinc/librdkafka/blob/master/CONFIGURATION.md + for all available configurations. + """ + + bootstrap_servers: List[KafkaBootstrapServer] = dataclass_field( + default_factory=lambda: [] + ) + """ + The Kafka bootstrap servers / brokers. Cannot be empty. + """ + + filter: TopicFilter = dataclass_field(default_factory=lambda: TopicFilter()) + + topic_naming_strategies: Dict[str, KafkaTopicNamingStrategy] = dataclass_field( + default_factory=dict + ) + """ + Mapping from topic name to corresponding naming strategy. + """ + + sasl_config: Optional[KafkaSASLConfig] = None + + default_subject_name_strategy: KafkaSubjectNameStrategy = ( + KafkaSubjectNameStrategy.TOPIC_NAME_STRATEGY + ) + + @field_validator("bootstrap_servers") + @classmethod + def _must_have_at_least_one_bootstrap_server( + cls, bootstrap_servers: List[KafkaBootstrapServer] + ): + if len(bootstrap_servers) < 1: + raise ValueError("Must specify at least one Kafka server") + return bootstrap_servers + + @model_validator(mode="after") + def _topic_naming_strategies_must_be_nonempty_when_default_is_record_name_strategy( + self, + ) -> "KafkaConfig": + if ( + self.default_subject_name_strategy + is KafkaSubjectNameStrategy.RECORD_NAME_STRATEGY + and not self.topic_naming_strategies + ): + raise ValueError( + "Cannot have RECORD_NAME_STRATEGY as default subject name strategy without specifying any topic's records" + ) + return self + + @property + def _bootstrap_servers_str(self) -> str: + return ",".join(f"{x.host}:{x.port}" for x in self.bootstrap_servers) + + @property + def admin_conf(self) -> Dict: + return { + "bootstrap.servers": self._bootstrap_servers_str, + **(self.sasl_config.as_dict if self.sasl_config is not None else {}), + **(self.extra_admin_client_conf), + } + + @property + def schema_registry_conf(self) -> Dict: + return {"url": self.schema_registry_url} diff --git a/metaphor/kafka/docker-compose.yml b/metaphor/kafka/docker-compose.yml new file mode 100644 index 00000000..baf7d692 --- /dev/null +++ b/metaphor/kafka/docker-compose.yml @@ -0,0 +1,58 @@ +--- +version: '2' +services: + + broker: + image: confluentinc/cp-kafka:7.5.2.arm64 + hostname: broker + container_name: broker + ports: + - 9092:9092 + - 9101:9101 + environment: + KAFKA_NODE_ID: 1 + KAFKA_LISTENER_SECURITY_PROTOCOL_MAP: CONTROLLER:PLAINTEXT,PLAINTEXT:PLAINTEXT,PLAINTEXT_HOST:PLAINTEXT + KAFKA_ADVERTISED_LISTENERS: PLAINTEXT://broker:29092,PLAINTEXT_HOST://localhost:9092 + KAFKA_OFFSETS_TOPIC_REPLICATION_FACTOR: 1 + KAFKA_GROUP_INITIAL_REBALANCE_DELAY_MS: 0 + KAFKA_TRANSACTION_STATE_LOG_MIN_ISR: 1 + KAFKA_TRANSACTION_STATE_LOG_REPLICATION_FACTOR: 1 + KAFKA_JMX_PORT: 9101 + KAFKA_JMX_HOSTNAME: localhost + KAFKA_PROCESS_ROLES: broker,controller + KAFKA_CONTROLLER_QUORUM_VOTERS: 1@broker:29093 + KAFKA_LISTENERS: PLAINTEXT://broker:29092,CONTROLLER://broker:29093,PLAINTEXT_HOST://0.0.0.0:9092 + KAFKA_INTER_BROKER_LISTENER_NAME: PLAINTEXT + KAFKA_CONTROLLER_LISTENER_NAMES: CONTROLLER + KAFKA_LOG_DIRS: /tmp/kraft-combined-logs + # Replace CLUSTER_ID with a unique base64 UUID using "bin/kafka-storage.sh random-uuid" + # See https://docs.confluent.io/kafka/operations-tools/kafka-tools.html#kafka-storage-sh + CLUSTER_ID: MkU3OEVBNTcwNTJENDM2Qk + + schema-registry: + image: confluentinc/cp-schema-registry:7.5.2.arm64 + hostname: schema-registry + container_name: schema-registry + depends_on: + - broker + ports: + - 8081:8081 + environment: + SCHEMA_REGISTRY_HOST_NAME: schema-registry + SCHEMA_REGISTRY_KAFKASTORE_BOOTSTRAP_SERVERS: broker:29092 + SCHEMA_REGISTRY_LISTENERS: http://0.0.0.0:8081 + + rest-proxy: + image: confluentinc/cp-kafka-rest:7.5.2.arm64 + depends_on: + - broker + - schema-registry + ports: + - 8082:8082 + hostname: rest-proxy + container_name: rest-proxy + environment: + KAFKA_REST_HOST_NAME: rest-proxy + KAFKA_REST_BOOTSTRAP_SERVERS: broker:29092 + KAFKA_REST_LISTENERS: http://0.0.0.0:8082 + KAFKA_REST_SCHEMA_REGISTRY_URL: http://schema-registry:8081 diff --git a/metaphor/kafka/extractor.py b/metaphor/kafka/extractor.py new file mode 100644 index 00000000..5b5b371e --- /dev/null +++ b/metaphor/kafka/extractor.py @@ -0,0 +1,100 @@ +from typing import Collection, List, Optional + +from confluent_kafka.admin import AdminClient + +from metaphor.common.base_extractor import BaseExtractor +from metaphor.common.event_util import ENTITY_TYPES +from metaphor.common.filter import TopicFilter +from metaphor.common.logger import get_logger +from metaphor.kafka.config import KafkaConfig +from metaphor.kafka.schema_resolver import SchemaResolver +from metaphor.models.crawler_run_metadata import Platform +from metaphor.models.metadata_change_event import ( + DataPlatform, + Dataset, + DatasetLogicalID, + DatasetSchema, + DatasetStructure, + EntityType, + SchemaType, +) + +logger = get_logger() + + +DEFAULT_FILTER: TopicFilter = TopicFilter( + excludes={ + "_schemas", + "__consumer_offsets", + } +) + + +class KafkaExtractor(BaseExtractor): + """Kafka metadata extractor""" + + @staticmethod + def from_config_file(config_file: str) -> "KafkaExtractor": + return KafkaExtractor(KafkaConfig.from_yaml_file(config_file)) + + def __init__(self, config: KafkaConfig) -> None: + super().__init__(config, "Kafka metadata crawler", Platform.KAFKA) + + self._config = config + self._filter = config.filter.normalize().merge(DEFAULT_FILTER) + self._admin_client = KafkaExtractor.init_admin_client(self._config) + self._resolver = SchemaResolver.build_resolver(config) + self._datasets: List[Dataset] = [] + + async def extract(self) -> Collection[ENTITY_TYPES]: + logger.info("Fetching metadata from Kafka") + + cluster_metadata = self._admin_client.list_topics() + if cluster_metadata.topics is None: + raise ValueError("Cannot find any topic") + for topic in cluster_metadata.topics.keys(): + if self._filter.include_topic(topic): + schemas = self._resolver.get_dataset_schemas( + topic, all_versions=False + ) # No need for lineage for now + if not schemas: + logger.warning(f"Cannot find schema subject for topic {topic}") + self._datasets.append( + self._init_dataset( + topic, + None, + DatasetSchema(schema_type=SchemaType.SCHEMALESS), + ) + ) + self._datasets.extend( + [ + self._init_dataset(topic, key, dataset_schema) + for key, dataset_schema in schemas.items() + ] + ) + + return self._datasets + + def _init_dataset( + self, + topic: str, + dataset_schema_key: Optional[str], + dataset_schema: DatasetSchema, + ) -> Dataset: + return Dataset( + entity_type=EntityType.DATASET, + logical_id=DatasetLogicalID( + platform=DataPlatform.KAFKA, + name=topic + + ("" if dataset_schema_key is None else f"_{dataset_schema_key}"), + ), + schema=dataset_schema, + structure=DatasetStructure( + table=topic, + ), + ) + + @staticmethod + def init_admin_client(config: KafkaConfig) -> AdminClient: + # FIXME how do we get this to break & exit if we cannot connect? + return AdminClient(config.admin_conf) diff --git a/metaphor/kafka/schema_resolver.py b/metaphor/kafka/schema_resolver.py new file mode 100644 index 00000000..e3a49040 --- /dev/null +++ b/metaphor/kafka/schema_resolver.py @@ -0,0 +1,132 @@ +from typing import Dict, List + +from confluent_kafka.schema_registry import RegisteredSchema, SchemaRegistryClient + +from metaphor.common.logger import get_logger +from metaphor.kafka.config import KafkaConfig, KafkaSubjectNameStrategy +from metaphor.models.metadata_change_event import DatasetSchema, SchemaType + +logger = get_logger() + + +class SchemaResolver: + def __init__(self, config: KafkaConfig) -> None: + self._schema_registry_client = self.init_schema_registry_client(config) + self._topic_naming_strategies = config.topic_naming_strategies + self._default_subject_name_strategy = config.default_subject_name_strategy + self._known_subjects = self._schema_registry_client.get_subjects() + + def _resolve_topic_to_subjects(self, topic: str, is_key_schema: bool) -> List[str]: + """ + Returns the list of subjects that relates to the topic. + """ + subject_key_suffix: str = "key" if is_key_schema else "value" + key = f"{topic}-{subject_key_suffix}" + + records, subject_name_strategy = self._resolve_topic_naming_strategy(topic) + if subject_name_strategy is KafkaSubjectNameStrategy.RECORD_NAME_STRATEGY: + if not records: + logger.warning( + f"Cannot find record for topic {topic} with name strategy = RECORD_NAME_STRATEGY" + ) + return [] + resolved_subject_names = [ + f"{record}-{subject_key_suffix}" + for record in records + if f"{record}-{subject_key_suffix}" in self._known_subjects + ] + if not resolved_subject_names: + logger.warning( + f"No schema subject exist for topic {topic} with name strategy = RECORD_NAME_STRATEGY, records = {records}" + ) + return resolved_subject_names + + if subject_name_strategy is KafkaSubjectNameStrategy.TOPIC_RECORD_NAME_STRATEGY: + if records: + resolved_subject_names = [ + f"{topic}-{record}-{subject_key_suffix}" + for record in records + if f"{topic}-{record}-{subject_key_suffix}" in self._known_subjects + ] + if not resolved_subject_names: + logger.warning( + f"No schema subject exist for topic {topic} with name strategy = TOPIC_RECORD_NAME_STRATEGY, records = {records}" + ) + return resolved_subject_names + # If no record is found, just gotta take whatever subject that starts with + # `topic` and ends with `subject_key_suffix`. + + subjects = [] + for subject in self._known_subjects: + if ( + subject_name_strategy is KafkaSubjectNameStrategy.TOPIC_NAME_STRATEGY + and key == subject + ): + subjects.append(subject) + if ( + subject_name_strategy + is KafkaSubjectNameStrategy.TOPIC_RECORD_NAME_STRATEGY + and subject.startswith(topic + "-") + and subject.endswith("-" + subject_key_suffix) + ): + subjects.append(subject) + return subjects + + def get_dataset_schemas( + self, topic: str, all_versions: bool = False + ) -> Dict[str, DatasetSchema]: + value_subjects = self._resolve_topic_to_subjects(topic, is_key_schema=False) + key_subjects = self._resolve_topic_to_subjects(topic, is_key_schema=True) + + dataset_schemas: Dict[str, DatasetSchema] = {} + + # TODO: get the mapping from key subjects to value subjects + # For now just concat them + subjects = key_subjects + value_subjects + for subject_name in subjects: + if not all_versions: + registered_schemas = [ + self._schema_registry_client.get_latest_version(subject_name) + ] + else: + registered_schemas = [ + self._schema_registry_client.get_version(subject_name, version) + for version in self._schema_registry_client.get_versions( + subject_name + ) + ] + + for registered_schema in registered_schemas: + dataset_schemas[ + SchemaResolver.to_dataset_schema_key(registered_schema) + ] = DatasetSchema( + schema_type=SchemaType(registered_schema.schema.schema_type), + raw_schema=registered_schema.schema.schema_str, + ) + + return dataset_schemas + + @staticmethod + def to_dataset_schema_key(registered_schema: RegisteredSchema) -> str: + return f"{registered_schema.schema_id}_{registered_schema.version}" + + @staticmethod + def init_schema_registry_client(config: KafkaConfig) -> SchemaRegistryClient: + return SchemaRegistryClient(config.schema_registry_conf) + + @staticmethod + def build_resolver(config: KafkaConfig) -> "SchemaResolver": + return SchemaResolver(config) + + def _resolve_topic_naming_strategy(self, topic: str): + """ + Resolves the topic to a tuple of records and SubjectNameStrategy. + If the topic isn't in `self._topic_naming_strategies`, returns an empty list and the default SubjectNameStrategy. + """ + strat = self._topic_naming_strategies.get(topic) + records = [] + if strat is not None: + records = strat.records + if strat.override_subject_name_strategy is not None: + return records, strat.override_subject_name_strategy + return records, self._default_subject_name_strategy diff --git a/poetry.lock b/poetry.lock index 5d4904fa..8d24f3c0 100644 --- a/poetry.lock +++ b/poetry.lock @@ -2,111 +2,99 @@ [[package]] name = "aiohttp" -version = "3.8.6" +version = "3.9.0" description = "Async http client/server framework (asyncio)" optional = true -python-versions = ">=3.6" +python-versions = ">=3.8" files = [ - {file = 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"asyncpg", "azure-identity", "azure-mgmt-datafactory", "confluent-kafka", "databricks-sdk", "databricks-sql-connector", "google-cloud-bigquery", "google-cloud-logging", "lkml", "looker-sdk", "msal", "msgraph-beta-sdk", "pycarlo", "pymssql", "pymysql", "snowflake-connector-python", "sql-metadata", "sqllineage", "tableauserverclient", "thoughtspot_rest_api_v1"] bigquery = ["google-cloud-bigquery", "google-cloud-logging", "sql-metadata"] datafactory = ["azure-identity", "azure-mgmt-datafactory"] dbt = [] +kafka = ["confluent-kafka"] looker = ["GitPython", "lkml", "looker-sdk", "sql-metadata"] metabase = ["sql-metadata"] monte-carlo = ["pycarlo"] @@ -4635,4 +4683,4 @@ unity-catalog = ["databricks-sdk", "databricks-sql-connector"] [metadata] lock-version = "2.0" python-versions = ">=3.8.1,<4.0" -content-hash = "f92210080f5f89430f7bea66b12f81b59b1257f32a695d541887829f3867e3d3" +content-hash = "b2580bdfcc6f830b92be06e83fd691e3c503e3f2adb62dd32f8bc126a6c22f91" diff --git a/pyproject.toml b/pyproject.toml index 7031fcc9..4d3636cf 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "metaphor-connectors" -version = "0.13.63" +version = "0.13.64" license = "Apache-2.0" description = "A collection of Python-based 'connectors' that extract metadata from various sources to ingest into the Metaphor app." authors = ["Metaphor "] @@ -22,6 +22,7 @@ azure-mgmt-datafactory = { version = "^3.1.0", optional = true } boto3 = "^1.28.57" botocore = "^1.31.57" canonicaljson = "^2.0.0" +confluent-kafka = { version = "^2.3.0", optional = true } databricks-sdk = { version = "^0.12.0", optional = true } databricks-sql-connector = { version = "^2.9.3", optional = true } GitPython = "^3.1.37" @@ -30,7 +31,7 @@ google-cloud-logging = { version = "^3.5.0", optional = true } jsonschema = "^4.18.6" lkml = { version = "^1.3.1", optional = true } looker-sdk = { version = "^23.6.0", optional = true } -metaphor-models = "0.30.5" +metaphor-models = "0.30.6" msal = { version = "^1.20.0", optional = true } msgraph-beta-sdk = { version = "1.0.0", optional = true } pyarrow = { version = "^10.0.1", extras = ["pandas"]} @@ -57,6 +58,7 @@ all = [ "asyncpg", "azure-identity", "azure-mgmt-datafactory", + "confluent-kafka", "databricks-sdk", "databricks-sql-connector", "GitPython", @@ -80,6 +82,7 @@ all = [ bigquery = ["google-cloud-bigquery", "google-cloud-logging", "sql-metadata"] datafactory = ["azure-identity", "azure-mgmt-datafactory"] dbt = [] +kafka = ["confluent-kafka"] looker = ["GitPython", "lkml", "looker-sdk", "sql-metadata"] metabase = ["sql-metadata"] monte_carlo = ["pycarlo"] @@ -107,6 +110,7 @@ pytest = "^7.2.1" pytest-asyncio = "^0.21.0" pytest-cov = "^4.0.0" types-attrs = "^19.1.0" +types-confluent-kafka = "^1.0.1" types-freezegun = "^1.1.10" types-python-dateutil = "^2.8.19.12" types-pytz = "^2023.3.0.0" diff --git a/tests/kafka/expected.json b/tests/kafka/expected.json new file mode 100644 index 00000000..5f774155 --- /dev/null +++ b/tests/kafka/expected.json @@ -0,0 +1,43 @@ +[ + { + "entityType": "DATASET", + "logicalId": { + "name": "foo_1_1", + "platform": "KAFKA" + }, + "schema": { + "rawSchema": "\"string\"", + "schemaType": "AVRO" + }, + "structure": { + "table": "foo" + } + }, + { + "entityType": "DATASET", + "logicalId": { + "name": "bar_2_1", + "platform": "KAFKA" + }, + "schema": { + "rawSchema": "\"double\"", + "schemaType": "AVRO" + }, + "structure": { + "table": "bar" + } + }, + { + "entityType": "DATASET", + "logicalId": { + "name": "no_schema", + "platform": "KAFKA" + }, + "schema": { + "schemaType": "SCHEMALESS" + }, + "structure": { + "table": "no_schema" + } + } +] diff --git a/tests/kafka/test_config.py b/tests/kafka/test_config.py new file mode 100644 index 00000000..5ec9b1d2 --- /dev/null +++ b/tests/kafka/test_config.py @@ -0,0 +1,41 @@ +import pytest +from pydantic import ValidationError + +from metaphor.common.base_config import OutputConfig +from metaphor.kafka.config import ( + KafkaConfig, + KafkaSubjectNameStrategy, + KafkaTopicNamingStrategy, +) +from tests.kafka.test_extractor import dummy_config + + +def test_config(): + assert dummy_config.admin_conf["bootstrap.servers"] == "localhost:9487" + + +def test_bad_config_without_bootstrap_server(): + with pytest.raises(ValidationError): + KafkaConfig(output=OutputConfig(), schema_registry_url="http://localhost:8081") + + +def test_bad_config_with_incorrect_name_strategy(): + with pytest.raises(ValidationError): + KafkaConfig( + output=OutputConfig(), + schema_registry_url=dummy_config.schema_registry_url, + bootstrap_servers=dummy_config.bootstrap_servers, + default_subject_name_strategy=KafkaSubjectNameStrategy.RECORD_NAME_STRATEGY, + ) + + with pytest.raises(ValidationError): + KafkaConfig( + output=OutputConfig(), + schema_registry_url=dummy_config.schema_registry_url, + bootstrap_servers=dummy_config.bootstrap_servers, + topic_naming_strategies={ + "bad": KafkaTopicNamingStrategy( + override_subject_name_strategy=KafkaSubjectNameStrategy.RECORD_NAME_STRATEGY, + ) + }, + ) diff --git a/tests/kafka/test_extractor.py b/tests/kafka/test_extractor.py new file mode 100644 index 00000000..87755df6 --- /dev/null +++ b/tests/kafka/test_extractor.py @@ -0,0 +1,64 @@ +from types import SimpleNamespace +from unittest.mock import MagicMock, patch + +import pytest + +from metaphor.common.base_config import OutputConfig +from metaphor.common.event_util import EventUtil +from metaphor.kafka.config import KafkaBootstrapServer, KafkaConfig +from metaphor.kafka.extractor import KafkaExtractor +from metaphor.models.metadata_change_event import DatasetSchema, SchemaType +from tests.test_utils import load_json + +dummy_config = KafkaConfig( + output=OutputConfig(), + schema_registry_url="http://localhost:5566", + bootstrap_servers=[ + KafkaBootstrapServer(host="localhost", port=9487), + ], +) + + +@patch("metaphor.kafka.schema_resolver.SchemaResolver.build_resolver") +@patch("metaphor.kafka.extractor.KafkaExtractor.init_admin_client") +@pytest.mark.asyncio +async def test_extractor( + mock_init_admin_client: MagicMock, + mock_build_schema_resolver: MagicMock, + test_root_dir: str, +) -> None: + def mock_get_dataset_schemas(topic: str, all_versions: bool): + if topic == "foo": + return { + "1_1": DatasetSchema( + schema_type=SchemaType.AVRO, + raw_schema='"string"', + ) + } + elif topic == "bar": + return { + "2_1": DatasetSchema( + schema_type=SchemaType.AVRO, + raw_schema='"double"', + ) + } + return {} + + mock_schema_resolver = MagicMock() + mock_schema_resolver.get_dataset_schemas = mock_get_dataset_schemas + mock_build_schema_resolver.side_effect = [mock_schema_resolver] + + mock_admin_client = MagicMock() + mock_admin_client.list_topics = MagicMock() + mock_admin_client.list_topics.return_value = SimpleNamespace( + topics={ + "foo": "", + "bar": "", + "no_schema": "", + } + ) + mock_init_admin_client.side_effect = [mock_admin_client] + + extractor = KafkaExtractor(config=dummy_config) + events = [EventUtil.trim_event(e) for e in await extractor.extract()] + assert events == load_json(f"{test_root_dir}/kafka/expected.json") diff --git a/tests/kafka/test_schema_resolver.py b/tests/kafka/test_schema_resolver.py new file mode 100644 index 00000000..fb697688 --- /dev/null +++ b/tests/kafka/test_schema_resolver.py @@ -0,0 +1,224 @@ +from unittest.mock import MagicMock, patch + +from confluent_kafka.schema_registry import RegisteredSchema, Schema + +from metaphor.kafka.config import ( + KafkaConfig, + KafkaSubjectNameStrategy, + KafkaTopicNamingStrategy, +) +from metaphor.kafka.schema_resolver import SchemaResolver +from metaphor.models.metadata_change_event import DatasetSchema, SchemaType +from tests.kafka.test_extractor import dummy_config + + +def mock_get_latest_version(subject: str): + if subject == "foo-key": + return RegisteredSchema(1, Schema('"string"', "AVRO"), subject, 1) + if subject == "foo-value": + return RegisteredSchema(2, Schema('"double"', "AVRO"), subject, 2) + if subject == "bar-value": + return RegisteredSchema(3, Schema('"double"', "AVRO"), subject, 1) + assert False + + +def mock_get_versions(subject: str): + if subject == "foo-key": + return [1] + if subject == "foo-value": + return [1, 2] + if subject == "bar-value": + return [1] + assert False + + +def mock_get_version(subject: str, version: int): + if subject == "foo-key": + return RegisteredSchema(1, Schema('"string"', "AVRO"), subject, 1) + if subject == "foo-value": + if version == 1: + return RegisteredSchema(2, Schema('"string"', "AVRO"), subject, 1) + return RegisteredSchema(2, Schema('"double"', "AVRO"), subject, 2) + if subject == "bar-value": + return RegisteredSchema(3, Schema('"double"', "AVRO"), subject, 1) + assert False + + +@patch("metaphor.kafka.schema_resolver.SchemaResolver.init_schema_registry_client") +def test_schema_resolver( + mock_init_schema_registry_client: MagicMock, +) -> None: + mock_schema_registry_client = MagicMock() + mock_schema_registry_client.get_subjects = MagicMock() + mock_schema_registry_client.get_subjects.return_value = [ + "foo-key", + "foo-value", + "bar-value", + ] + + mock_schema_registry_client.get_latest_version = mock_get_latest_version + mock_schema_registry_client.get_versions = mock_get_versions + mock_schema_registry_client.get_version = mock_get_version + mock_init_schema_registry_client.side_effect = [mock_schema_registry_client] + + resolver = SchemaResolver(dummy_config) + foo_schemas = resolver.get_dataset_schemas("foo") + assert foo_schemas.get("1_1") is not None + assert foo_schemas.get("1_1") == DatasetSchema( + schema_type=SchemaType.AVRO, raw_schema='"string"' + ) + assert foo_schemas.get("2_2") is not None + assert foo_schemas.get("2_2") == DatasetSchema( + schema_type=SchemaType.AVRO, raw_schema='"double"' + ) + assert "2_1" not in foo_schemas + assert "3_1" not in foo_schemas + + foo_schemas = resolver.get_dataset_schemas("foo", all_versions=True) + assert "2_1" in foo_schemas + assert foo_schemas.get("2_1") == DatasetSchema( + schema_type=SchemaType.AVRO, raw_schema='"string"' + ) + + +@patch("metaphor.kafka.schema_resolver.SchemaResolver.init_schema_registry_client") +def test_resolve_overriden_subject_name_strategy( + mock_init_schema_registry_client: MagicMock, +) -> None: + mock_schema_registry_client = MagicMock() + mock_schema_registry_client.get_subjects = MagicMock() + mock_schema_registry_client.get_subjects.return_value = [ + "foo-value", + "bar-value", + "baz-value", + ] + mock_init_schema_registry_client.side_effect = [mock_schema_registry_client] + + config = KafkaConfig( + output=dummy_config.output, + schema_registry_url=dummy_config.schema_registry_url, + bootstrap_servers=dummy_config.bootstrap_servers, + topic_naming_strategies={ + "quax": KafkaTopicNamingStrategy( + override_subject_name_strategy=KafkaSubjectNameStrategy.RECORD_NAME_STRATEGY, + records=["bar", "baz"], + ) + }, + ) + resolver = SchemaResolver(config) + assert resolver._resolve_topic_to_subjects("quax", is_key_schema=False) == [ + "bar-value", + "baz-value", + ] + assert resolver._resolve_topic_to_subjects("foo", is_key_schema=False) == [ + "foo-value" + ] + + +@patch("metaphor.kafka.schema_resolver.SchemaResolver.init_schema_registry_client") +def test_record_name_strategy_as_default( + mock_init_schema_registry_client: MagicMock, +) -> None: + mock_schema_registry_client = MagicMock() + mock_schema_registry_client.get_subjects = MagicMock() + mock_schema_registry_client.get_subjects.return_value = [ + "foo-really.awesome.fully.quantified.record-value", + "bar-value", + "baz-value", + ] + mock_init_schema_registry_client.side_effect = [mock_schema_registry_client] + + config = KafkaConfig( + output=dummy_config.output, + schema_registry_url=dummy_config.schema_registry_url, + bootstrap_servers=dummy_config.bootstrap_servers, + topic_naming_strategies={ + "quax": KafkaTopicNamingStrategy(records=["bar", "baz"]), + "foo": KafkaTopicNamingStrategy( + override_subject_name_strategy=KafkaSubjectNameStrategy.TOPIC_RECORD_NAME_STRATEGY + ), + }, + default_subject_name_strategy=KafkaSubjectNameStrategy.RECORD_NAME_STRATEGY, + ) + resolver = SchemaResolver(config) + assert resolver._resolve_topic_to_subjects("quax", is_key_schema=False) == [ + "bar-value", + "baz-value", + ] + assert resolver._resolve_topic_to_subjects("foo", is_key_schema=False) == [ + "foo-really.awesome.fully.quantified.record-value" + ] + + +@patch("metaphor.kafka.schema_resolver.SchemaResolver.init_schema_registry_client") +def test_schema_resolver_ignore_missing_subject_record_name_strategy( + mock_init_schema_registry_client: MagicMock, +) -> None: + mock_schema_registry_client = MagicMock() + mock_schema_registry_client.get_subjects = MagicMock() + mock_schema_registry_client.get_subjects.return_value = [ + "baz-value", + "bar-value", + ] + mock_init_schema_registry_client.side_effect = [mock_schema_registry_client] + config = KafkaConfig( + output=dummy_config.output, + schema_registry_url=dummy_config.schema_registry_url, + bootstrap_servers=dummy_config.bootstrap_servers, + topic_naming_strategies={ + "foo": KafkaTopicNamingStrategy(records=["bar"]), + }, + default_subject_name_strategy=KafkaSubjectNameStrategy.RECORD_NAME_STRATEGY, + ) + resolver = SchemaResolver(config) + assert resolver._resolve_topic_to_subjects("foo", False) == ["bar-value"] + + mock_init_schema_registry_client.side_effect = [mock_schema_registry_client] + config = KafkaConfig( + output=dummy_config.output, + schema_registry_url=dummy_config.schema_registry_url, + bootstrap_servers=dummy_config.bootstrap_servers, + topic_naming_strategies={ + "foo": KafkaTopicNamingStrategy(records=["quax"]), + }, + default_subject_name_strategy=KafkaSubjectNameStrategy.RECORD_NAME_STRATEGY, + ) + resolver = SchemaResolver(config) + assert len(resolver._resolve_topic_to_subjects("foo", False)) == 0 + + +@patch("metaphor.kafka.schema_resolver.SchemaResolver.init_schema_registry_client") +def test_schema_resolver_ignore_missing_subject_topic_record_name_strategy( + mock_init_schema_registry_client: MagicMock, +) -> None: + mock_schema_registry_client = MagicMock() + mock_schema_registry_client.get_subjects = MagicMock() + mock_schema_registry_client.get_subjects.return_value = [ + "foo-baz-value", + "foo-bar-value", + ] + mock_init_schema_registry_client.side_effect = [mock_schema_registry_client] + config = KafkaConfig( + output=dummy_config.output, + schema_registry_url=dummy_config.schema_registry_url, + bootstrap_servers=dummy_config.bootstrap_servers, + topic_naming_strategies={ + "foo": KafkaTopicNamingStrategy(records=["bar"]), + }, + default_subject_name_strategy=KafkaSubjectNameStrategy.TOPIC_RECORD_NAME_STRATEGY, + ) + resolver = SchemaResolver(config) + assert resolver._resolve_topic_to_subjects("foo", False) == ["foo-bar-value"] + + mock_init_schema_registry_client.side_effect = [mock_schema_registry_client] + config = KafkaConfig( + output=dummy_config.output, + schema_registry_url=dummy_config.schema_registry_url, + bootstrap_servers=dummy_config.bootstrap_servers, + topic_naming_strategies={ + "foo": KafkaTopicNamingStrategy(records=["quax"]), + }, + default_subject_name_strategy=KafkaSubjectNameStrategy.TOPIC_RECORD_NAME_STRATEGY, + ) + resolver = SchemaResolver(config) + assert len(resolver._resolve_topic_to_subjects("foo", False)) == 0