def lambda_handler(event, context):
# If the environment advises on a specific debug level, set it accordingly.
aux.update_log_level(LOGGER, event, context)
# Log environment details.
aux.log_env_details(LOGGER)
# Log request details.
aux.log_event_and_context(LOGGER, event, context)
# Publish Lambda event to the respective event logging topic.
aux_api.publish_apigw_lambda_event(LOGGER, event)
# Create a new completed ride object from the incoming event.
try:
LOGGER.debug(
"Create a new completed ride object from the incoming event.")
completed_ride = CompletedRide(LOGGER, event, event[aux.EK_BODY])
except Exception as ex:
LOGGER.exception(aux_api.BAD_REQUEST_NO_JSON_BODY)
LOGGER.exception(ex)
return aux_api.bad_request(LOGGER, event,
aux_api.BAD_REQUEST_NO_JSON_BODY, ex)
# Persist ride details.
# Feature request: Eventually respond with Internal Server Error if this fails.
completed_ride.persist_ride_details()
# Send ride details to the ride completion topic.
# Feature request: If this fails, add a scheduled process to retry.
publish_ride_details(completed_ride)
# Prepare self link for the new completed ride resource.
# Feature request: Make this an instance operation of a CompletedRide instance?
completed_ride_link = create_self_link_url(event, completed_ride)
data = {
"links": {
"self": completed_ride_link
},
"unicorn-id": completed_ride.get_unicorn_id(),
"customer-id": completed_ride.get_customer_id(),
"submitted-at": completed_ride.get_submitted_at(),
"ride-details": completed_ride.get_ride_details()
}
return {
"statusCode": 201,
"body": json.dumps(data),
"headers": {
"Location": completed_ride_link,
"Content-Location": completed_ride_link,
"Content-Type": "application/json"
}
}
def lambda_handler(event, context):
# If the environment advises on a specific debug level, set it accordingly.
aux.update_log_level(LOGGER, event, context)
# Log environment details.
aux.log_env_details(LOGGER)
# Log request details.
aux.log_event_and_context(LOGGER, event, context)
# Publish Lambda event to the respective event logging topic.
aux_processing.publish_sns_lambda_event(LOGGER, event)
# We expect SNS messages coming in in a "Records" array, within each record, there's an object "Sns".
# Within that object:
# - The message body is in the "Message" object.
# - Message meta data is in the "MessageAttributes" object.
count = 0
for record in event["Records"]:
count += 1
LOGGER.debug("Looking into record #%d:", count)
# Extract ride details from record.
ride_details = json.loads(record["Sns"]["Message"])
LOGGER.debug("ride_details: %s", ride_details)
# Extract unicorn ID from ride details.
unicorn_id = ride_details["unicorn-id"]
LOGGER.debug("unicorn_id: %s", unicorn_id)
# Extract customer ID from ride details.
customer_id = ride_details["customer-id"]
LOGGER.debug("customer_id: %s", customer_id)
# Extract submitted-at from ride details.
submitted_at = ride_details["submitted-at"]
LOGGER.debug("submitted_at: %s", submitted_at)
# Extract ride ID from ride details.
ride_id = ride_details["ride-id"]
LOGGER.debug("ride_id: %s", ride_id)
# Extract fare from ride details.
fare = ride_details["fare"]
LOGGER.debug("fare: %s", fare)
# Extract distance from ride details.
distance = ride_details["distance"]
LOGGER.debug("distance: %s", distance)
# Extract correlation ID from ride details.
correlation_id = ride_details["correlation-id"]
LOGGER.debug("correlation_id: %s", correlation_id)
# Persist ride details.
persist_ride_details(unicorn_id, customer_id, submitted_at, ride_id, fare, distance, correlation_id, ride_details)
def lambda_handler(event, context):
# If the environment advises on a specific debug level, set it accordingly.
aux.update_log_level(LOGGER, event, context)
# Log environment details.
aux.log_env_details(LOGGER)
# Log request details.
aux.log_event_and_context(LOGGER, event, context)
# Publish Lambda event to the respective event logging topic.
aux_processing.publish_sns_lambda_event(LOGGER, event)
# Retrieve unicorn ID from environment.
unicorn_id = retrieve_unicorn_id()
# We expect either SNS or SQS messages coming in - both will appear within an array called "Records".
# Within each record, SNS data appears in an object calles "Sns". Within that object:
# - The message body is in the "Message" object.
# - Message meta data is in the "MessageAttributes" object.
# In case we receive an SQS message here, it will be from topic-queue-chaining.
# All relevant data from the SNS message is going to be stuffed into the "body" object of a record.
# Within that "body" object, we will find the "Message" and "MessageAttributes" objects again.
count = 0
for record in event["Records"]:
count += 1
LOGGER.debug("Looking into record #%d:", count)
# Extract RFQ details and message meta data.
if "Sns" in record:
# Direct message reception from SNS.
LOGGER.debug("Direct message reception from SNS.")
rfq_details = json.loads(record["Sns"]["Message"])
message_attributes = record["Sns"]["MessageAttributes"]
else:
# Indirect message reception via buffering SQS queue due to topic-queue-chaining.
LOGGER.debug("Indirect message reception via buffering SQS queue due to topic-queue-chaining.")
body = json.loads(record["body"])
rfq_details = json.loads(body["Message"])
LOGGER.debug("FIXME: This branch is only prepared, need to add to extract message attributes from the SQS message.")
LOGGER.debug("rfq_details: %s", rfq_details)
LOGGER.debug("message_attributes: %s", message_attributes)
# Extract correlation ID from message meta data.
correlation_id = extract_correlation_id(message_attributes)
LOGGER.debug("correlation_id: %s", correlation_id)
# Extract customer ID from RFQ.
customer_id = rfq_details["customer-id"]
LOGGER.debug("customer_id: %s", customer_id)
# Extract return address from message meta data.
return_address = extract_return_address(message_attributes)
LOGGER.debug("return_address: %s", return_address)
# Calculate the fare for the offer.
offered_fare = calculate_offered_fare(unicorn_id)
# Calculate goodies for the offer.
offered_goodies = ride_goodies.calculate_offered_goodies(LOGGER, unicorn_id)
# Create a random RFQ response.
rfq_response = {
"unicorn-id": unicorn_id,
"customer-id": customer_id,
# "price": 2.95,
# "goodies": [ "FREE_DRINKS_NON_ALC", "FREE_DRINKS_ALC" ]
"price": offered_fare,
"goodies": list(offered_goodies)
}
LOGGER.debug("rfq_response: %s", rfq_response)
# Send RFQ response to RFQ response queue.
send_rfq_response(return_address, correlation_id, unicorn_id, rfq_response)
def lambda_handler(event, context):
# If the environment advises on a specific debug level, set it accordingly.
aux.update_log_level(LOGGER, event, context)
# Log environment details.
aux.log_env_details(LOGGER)
# Log request details.
aux.log_event_and_context(LOGGER, event, context)
# Publish Lambda event to the respective event logging topic.
aux_processing.publish_sns_lambda_event(LOGGER, event)
# We expect either SNS or SQS messages coming in - both will appear within an array called "Records".
# Within each record, SNS data appears in an object calles "Sns". Within that object:
# - The message body is in the "Message" object.
# - Message meta data is in the "MessageAttributes" object.
# In case we receive an SQS message here, it will be from topic-queue-chaining.
# All relevant data from the SNS message is going to be stuffed into the "body" object of a record.
# Within that "body" object, we will find the "Message" and "MessageAttributes" objects again.
count = 0
for record in event["Records"]:
count += 1
LOGGER.debug("Looking into record #%d:", count)
# Extract ride details from record.
ride_details = {}
if "Sns" in record:
# Direct message reception from SNS.
LOGGER.debug("Direct message reception from SNS.")
ride_details = json.loads(record["Sns"]["Message"])
else:
# Indirect message reception via buffering SQS queue due to topic-queue-chaining.
LOGGER.debug(
"Indirect message reception via buffering SQS queue due to topic-queue-chaining."
)
body = json.loads(record["body"])
ride_details = json.loads(body["Message"])
LOGGER.debug("ride_details: %s", ride_details)
# Extract unicorn ID from ride details.
unicorn_id = ride_details["unicorn-id"]
LOGGER.debug("unicorn_id: %s", unicorn_id)
# Extract customer ID from ride details.
customer_id = ride_details["customer-id"]
LOGGER.debug("customer_id: %s", customer_id)
# Extract submitted-at from ride details.
submitted_at = ride_details["submitted-at"]
LOGGER.debug("submitted_at: %s", submitted_at)
# Extract ride ID from ride details.
ride_id = ride_details["ride-id"]
LOGGER.debug("ride_id: %s", ride_id)
# Extract fare from ride details.
fare = ride_details["fare"]
LOGGER.debug("fare: %s", fare)
# Extract distance from ride details.
distance = ride_details["distance"]
LOGGER.debug("distance: %s", distance)
# Extract correlation ID from ride details.
correlation_id = ride_details["correlation-id"]
LOGGER.debug("correlation_id: %s", correlation_id)
# Persist ride details.
persist_ride_details(unicorn_id, customer_id, submitted_at, ride_id,
fare, distance, correlation_id, ride_details)
def lambda_handler(event, context):
# If the environment advises on a specific debug level, set it accordingly.
aux.update_log_level(LOGGER, event, context)
# Log environment details.
aux.log_env_details(LOGGER)
# Log request details.
aux.log_event_and_context(LOGGER, event, context)
# Publish Lambda event to the respective event logging topic.
aux_api.publish_apigw_lambda_event(LOGGER, event)
# Extract unicorn ID from request query parameter.
unicorn_id = event["queryStringParameters"]["unicorn-id"]
LOGGER.debug("unicorn_id: %s", unicorn_id)
# Extract customer ID from request query parameter.
customer_id = event["queryStringParameters"]["customer-id"]
LOGGER.debug("customer_id: %s", customer_id)
# Update metric for customer ID.
#update_metric_for_requests_per_customer(customer_id)
# Log full request.
#log_full_request(event)
# Extract submitted-at from request query parameter.
submitted_at = event["queryStringParameters"]["submitted-at"]
LOGGER.debug("submitted_at: %s", submitted_at)
# Fetch ride details from database.
ride_details = fetch_ride_details(unicorn_id, customer_id, submitted_at)
# Create self link for the resource representation.
self_link_url = create_self_link_url(event, unicorn_id, customer_id,
submitted_at)
# Create response depending on if we found a ride item in the database.
status_code = 200
if ride_details == STR_NONE:
# Oh, we didn't find an item for the input data.
data = {
"links": {
"self": self_link_url
},
"error-message": "This is not the ride you're looking for!"
}
status_code = 404
else:
# We found an item and can create a nice resource representation.
data = {
"links": {
"self": self_link_url
},
#"title": "Ride " + ride_id + " for customer " + customer_id + " is completed by unicorn " + unicorn_id,
"unicorn-id": unicorn_id,
"customer-id": customer_id,
"submitted-at": submitted_at,
"ride-details": ride_details
}
# Return resource representation.
return {
"statusCode": status_code,
"body": json.dumps(data),
"headers": {
"Content-Type": "application/json"
}
}