docs(batch): extract and fix examples

Makefile

@@ -90,3 +90,11 @@ changelog:
 
 mypy:
 	poetry run mypy --pretty aws_lambda_powertools
+
+format-examples:
+	poetry run isort docs/examples
+	poetry run black docs/examples/*/*/*.py
+
+lint-examples:
+	poetry run python3 -m py_compile docs/examples/*/*/*.py
+	cfn-lint docs/examples/*/*/*.yml

docs/examples/utilities/batch/caveats_tracer_response_auto_capture.py

@@ -0,0 +1,25 @@
+import json
+
+from aws_lambda_powertools import Logger, Tracer
+from aws_lambda_powertools.utilities.batch import BatchProcessor, EventType, batch_processor
+from aws_lambda_powertools.utilities.data_classes.sqs_event import SQSRecord
+from aws_lambda_powertools.utilities.typing import LambdaContext
+
+processor = BatchProcessor(event_type=EventType.SQS)
+tracer = Tracer()
+logger = Logger()
+
+
+@tracer.capture_method(capture_response=False)
+def record_handler(record: SQSRecord):
+    payload: str = record.body
+    if payload:
+        item: dict = json.loads(payload)
+    ...
+
+
+@logger.inject_lambda_context
+@tracer.capture_lambda_handler
+@batch_processor(record_handler=record_handler, processor=processor)
+def lambda_handler(event, context: LambdaContext):
+    return processor.response()

docs/examples/utilities/batch/custom_batch_processor.py

@@ -0,0 +1,62 @@
+import os
+from random import randint
+
+import boto3
+
+from aws_lambda_powertools.utilities.batch import BasePartialProcessor, batch_processor
+
+table_name = os.getenv("TABLE_NAME", "table_not_found")
+
+
+class MyPartialProcessor(BasePartialProcessor):
+    """
+    Process a record and stores successful results at a Amazon DynamoDB Table
+
+    Parameters
+    ----------
+    table_name: str
+        DynamoDB table name to write results to
+    """
+
+    def __init__(self, table_name: str):
+        self.table_name = table_name
+
+        super().__init__()
+
+    def _prepare(self):
+        # It's called once, *before* processing
+        # Creates table resource and clean previous results
+        self.ddb_table = boto3.resource("dynamodb").Table(self.table_name)
+        self.success_messages.clear()
+
+    def _clean(self):
+        # It's called once, *after* closing processing all records (closing the context manager)
+        # Here we're sending, at once, all successful messages to a ddb table
+        with self.ddb_table.batch_writer() as batch:
+            for result in self.success_messages:
+                batch.put_item(Item=result)
+
+    def _process_record(self, record):
+        # It handles how your record is processed
+        # Here we're keeping the status of each run
+        # where self.handler is the record_handler function passed as an argument
+        try:
+            result = self.handler(record)  # record_handler passed to decorator/context manager
+            return self.success_handler(record, result)
+        except Exception as exc:
+            return self.failure_handler(record, exc)
+
+    def success_handler(self, record, result):
+        entry = ("success", result, record)
+        message = {"age": result}
+        self.success_messages.append(message)
+        return entry
+
+
+def record_handler(record):
+    return randint(0, 100)
+
+
+@batch_processor(record_handler=record_handler, processor=MyPartialProcessor(table_name))
+def lambda_handler(event, context):
+    return {"statusCode": 200}

docs/examples/utilities/batch/custom_boto3_session_context_manager.py

@@ -0,0 +1,23 @@
+import boto3
+
+from aws_lambda_powertools.utilities.batch import PartialSQSProcessor
+
+session = boto3.session.Session()
+
+
+def record_handler(record):
+    # This will be called for each individual message from a batch
+    # It should raise an exception if the message was not processed successfully
+    return_value = do_something_with(record["body"])
+    return return_value
+
+
+def lambda_handler(event, context):
+    records = event["Records"]
+
+    processor = PartialSQSProcessor(boto3_session=session)
+
+    with processor(records, record_handler):
+        result = processor.process()
+
+    return result

docs/examples/utilities/batch/custom_boto3_session_decorator.py

@@ -0,0 +1,17 @@
+import boto3
+
+from aws_lambda_powertools.utilities.batch import sqs_batch_processor
+
+session = boto3.session.Session()
+
+
+def record_handler(record):
+    # This will be called for each individual message from a batch
+    # It should raise an exception if the message was not processed successfully
+    return_value = do_something_with(record["body"])
+    return return_value
+
+
+@sqs_batch_processor(record_handler=record_handler, boto3_session=session)
+def lambda_handler(event, context):
+    return {"statusCode": 200}

docs/examples/utilities/batch/custom_config_context_manager.py

@@ -0,0 +1,23 @@
+from botocore.config import Config
+
+from aws_lambda_powertools.utilities.batch import PartialSQSProcessor
+
+config = Config(region_name="us-east-1")
+
+
+def record_handler(record):
+    # This will be called for each individual message from a batch
+    # It should raise an exception if the message was not processed successfully
+    return_value = do_something_with(record["body"])
+    return return_value
+
+
+def lambda_handler(event, context):
+    records = event["Records"]
+
+    processor = PartialSQSProcessor(config=config)
+
+    with processor(records, record_handler):
+        result = processor.process()
+
+    return result

docs/examples/utilities/batch/custom_config_decorator.py

@@ -0,0 +1,17 @@
+from botocore.config import Config
+
+from aws_lambda_powertools.utilities.batch import sqs_batch_processor
+
+config = Config(region_name="us-east-1")
+
+
+def record_handler(record):
+    # This will be called for each individual message from a batch
+    # It should raise an exception if the message was not processed successfully
+    return_value = do_something_with(record["body"])
+    return return_value
+
+
+@sqs_batch_processor(record_handler=record_handler, config=config)
+def lambda_handler(event, context):
+    return {"statusCode": 200}

docs/examples/utilities/batch/dynamodb_streams_context_manager.py

@@ -0,0 +1,30 @@
+import json
+
+from aws_lambda_powertools import Logger, Tracer
+from aws_lambda_powertools.utilities.batch import BatchProcessor, EventType, batch_processor
+from aws_lambda_powertools.utilities.data_classes.dynamo_db_stream_event import DynamoDBRecord
+from aws_lambda_powertools.utilities.typing import LambdaContext
+
+processor = BatchProcessor(event_type=EventType.DynamoDBStreams)
+tracer = Tracer()
+logger = Logger()
+
+
+@tracer.capture_method
+def record_handler(record: DynamoDBRecord):
+    logger.info(record.dynamodb.new_image)
+    payload: dict = json.loads(record.dynamodb.new_image.get("item").s_value)
+    # alternatively:
+    # changes: Dict[str, dynamo_db_stream_event.AttributeValue] = record.dynamodb.new_image
+    # payload = change.get("Message").raw_event -> {"S": "<payload>"}
+    ...
+
+
+@logger.inject_lambda_context
+@tracer.capture_lambda_handler
+def lambda_handler(event, context: LambdaContext):
+    batch = event["Records"]
+    with processor(records=batch, handler=record_handler):
+        processed_messages = processor.process()  # kick off processing, return list[tuple]
+
+    return processor.response()

docs/examples/utilities/batch/dynamodb_streams_decorator.py

@@ -0,0 +1,27 @@
+import json
+
+from aws_lambda_powertools import Logger, Tracer
+from aws_lambda_powertools.utilities.batch import BatchProcessor, EventType, batch_processor
+from aws_lambda_powertools.utilities.data_classes.dynamo_db_stream_event import DynamoDBRecord
+from aws_lambda_powertools.utilities.typing import LambdaContext
+
+processor = BatchProcessor(event_type=EventType.DynamoDBStreams)
+tracer = Tracer()
+logger = Logger()
+
+
+@tracer.capture_method
+def record_handler(record: DynamoDBRecord):
+    logger.info(record.dynamodb.new_image)
+    payload: dict = json.loads(record.dynamodb.new_image.get("Message").get_value)
+    # alternatively:
+    # changes: Dict[str, dynamo_db_stream_event.AttributeValue] = record.dynamodb.new_image
+    # payload = change.get("Message").raw_event -> {"S": "<payload>"}
+    ...
+
+
+@logger.inject_lambda_context
+@tracer.capture_lambda_handler
+@batch_processor(record_handler=record_handler, processor=processor)
+def lambda_handler(event, context: LambdaContext):
+    return processor.response()

docs/examples/utilities/batch/dynamodb_streams_pydantic_inheritance.py

@@ -0,0 +1,48 @@
+import json
+from typing import Dict, Literal, Optional
+
+from aws_lambda_powertools import Logger, Tracer
+from aws_lambda_powertools.utilities.batch import BatchProcessor, EventType, batch_processor
+from aws_lambda_powertools.utilities.parser import BaseModel, validator
+from aws_lambda_powertools.utilities.parser.models import DynamoDBStreamChangedRecordModel, DynamoDBStreamRecordModel
+from aws_lambda_powertools.utilities.typing import LambdaContext
+
+
+class Order(BaseModel):
+    item: dict
+
+
+class OrderDynamoDB(BaseModel):
+    Message: Order
+
+    # auto transform json string
+    # so Pydantic can auto-initialize nested Order model
+    @validator("Message", pre=True)
+    def transform_message_to_dict(cls, value: Dict[Literal["S"], str]):
+        return json.loads(value["S"])
+
+
+class OrderDynamoDBChangeRecord(DynamoDBStreamChangedRecordModel):
+    NewImage: Optional[OrderDynamoDB]
+    OldImage: Optional[OrderDynamoDB]
+
+
+class OrderDynamoDBRecord(DynamoDBStreamRecordModel):
+    dynamodb: OrderDynamoDBChangeRecord
+
+
+processor = BatchProcessor(event_type=EventType.DynamoDBStreams, model=OrderDynamoDBRecord)
+tracer = Tracer()
+logger = Logger()
+
+
+@tracer.capture_method
+def record_handler(record: OrderDynamoDBRecord):
+    return record.dynamodb.NewImage.Message.item
+
+
+@logger.inject_lambda_context
+@tracer.capture_lambda_handler
+@batch_processor(record_handler=record_handler, processor=processor)
+def lambda_handler(event, context: LambdaContext):
+    return processor.response()

docs/examples/utilities/batch/dynamodb_streams_template.yml

@@ -0,0 +1,66 @@
+AWSTemplateFormatVersion: '2010-09-09'
+Transform: AWS::Serverless-2016-10-31
+Description: partial batch response sample
+
+Globals:
+    Function:
+        Timeout: 5
+        MemorySize: 256
+        Runtime: python3.9
+        Tracing: Active
+        Environment:
+            Variables:
+                LOG_LEVEL: INFO
+                POWERTOOLS_SERVICE_NAME: hello
+
+Resources:
+    HelloWorldFunction:
+        Type: AWS::Serverless::Function
+        Properties:
+            Handler: app.lambda_handler
+            CodeUri: hello_world
+            Policies:
+                # Lambda Destinations require additional permissions
+                # to send failure records from Kinesis/DynamoDB
+                - Version: "2012-10-17"
+                  Statement:
+                    Effect: "Allow"
+                    Action:
+                        - sqs:GetQueueAttributes
+                        - sqs:GetQueueUrl
+                        - sqs:SendMessage
+                    Resource: !GetAtt SampleDLQ.Arn
+            Events:
+                DynamoDBStream:
+                    Type: DynamoDB
+                    Properties:
+                        Stream: !GetAtt SampleTable.StreamArn
+                        StartingPosition: LATEST
+                        MaximumRetryAttempts: 2
+                        DestinationConfig:
+                            OnFailure:
+                                Destination: !GetAtt SampleDLQ.Arn
+                        FunctionResponseTypes:
+                            - ReportBatchItemFailures
+
+    SampleDLQ:
+        Type: AWS::SQS::Queue
+
+    SampleTable:
+        Type: AWS::DynamoDB::Table
+        Properties:
+            BillingMode: PAY_PER_REQUEST
+            AttributeDefinitions:
+                - AttributeName: pk
+                  AttributeType: S
+                - AttributeName: sk
+                  AttributeType: S
+            KeySchema:
+                - AttributeName: pk
+                  KeyType: HASH
+                - AttributeName: sk
+                  KeyType: RANGE
+            SSESpecification:
+                SSEEnabled: yes
+            StreamSpecification:
+                StreamViewType: NEW_AND_OLD_IMAGES

docs/examples/utilities/batch/kinesis_data_streams_context_manager.py

@@ -0,0 +1,27 @@
+import json
+
+from aws_lambda_powertools import Logger, Tracer
+from aws_lambda_powertools.utilities.batch import BatchProcessor, EventType, batch_processor
+from aws_lambda_powertools.utilities.data_classes.kinesis_stream_event import KinesisStreamRecord
+from aws_lambda_powertools.utilities.typing import LambdaContext
+
+processor = BatchProcessor(event_type=EventType.KinesisDataStreams)
+tracer = Tracer()
+logger = Logger()
+
+
+@tracer.capture_method
+def record_handler(record: KinesisStreamRecord):
+    logger.info(record.kinesis.data_as_text)
+    payload: dict = record.kinesis.data_as_json()
+    ...
+
+
+@logger.inject_lambda_context
+@tracer.capture_lambda_handler
+def lambda_handler(event, context: LambdaContext):
+    batch = event["Records"]
+    with processor(records=batch, handler=record_handler):
+        processed_messages = processor.process()  # kick off processing, return list[tuple]
+
+    return processor.response()