diff --git a/poetry.lock b/poetry.lock index 55261f825..861bd55ec 100644 --- a/poetry.lock +++ b/poetry.lock @@ -37,14 +37,14 @@ files = [ name = "alembic" version = "1.18.4" description = "A database migration tool for SQLAlchemy." -optional = true +optional = false python-versions = ">=3.10" -groups = ["main"] -markers = "extra == \"tool\"" +groups = ["main", "cdk-install"] files = [ {file = "alembic-1.18.4-py3-none-any.whl", hash = "sha256:a5ed4adcf6d8a4cb575f3d759f071b03cd6e5c7618eb796cb52497be25bfe19a"}, {file = "alembic-1.18.4.tar.gz", hash = "sha256:cb6e1fd84b6174ab8dbb2329f86d631ba9559dd78df550b57804d607672cedbc"}, ] +markers = {main = "extra == \"tool\""} [package.dependencies] Mako = "*" @@ -54,6 +54,49 @@ typing-extensions = ">=4.12" [package.extras] tz = ["tzdata"] +[[package]] +name = "annotated-types" +version = "0.7.0" +description = "Reusable constraint types to use with typing.Annotated" +optional = false +python-versions = ">=3.8" +groups = ["cdk-install"] +files = [ + {file = "annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53"}, + {file = "annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89"}, +] + +[[package]] +name = "antlr4-python3-runtime" +version = "4.13.2" +description = "ANTLR 4.13.2 runtime for Python 3" +optional = false +python-versions = "*" +groups = ["cdk-install"] +files = [ + {file = "antlr4_python3_runtime-4.13.2-py3-none-any.whl", hash = "sha256:fe3835eb8d33daece0e799090eda89719dbccee7aa39ef94eed3818cafa5a7e8"}, + {file = "antlr4_python3_runtime-4.13.2.tar.gz", hash = "sha256:909b647e1d2fc2b70180ac586df3933e38919c85f98ccc656a96cd3f25ef3916"}, +] + +[[package]] +name = "anyio" +version = "4.13.0" +description = "High-level concurrency and networking framework on top of asyncio or Trio" +optional = false +python-versions = ">=3.10" +groups = ["cdk-install"] +files = [ + {file = "anyio-4.13.0-py3-none-any.whl", hash = "sha256:08b310f9e24a9594186fd75b4f73f4a4152069e3853f1ed8bfbf58369f4ad708"}, + {file = "anyio-4.13.0.tar.gz", hash = "sha256:334b70e641fd2221c1505b3890c69882fe4a2df910cba14d97019b90b24439dc"}, +] + +[package.dependencies] +idna = ">=2.8" +typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""} + +[package.extras] +trio = ["trio (>=0.32.0)"] + [[package]] name = "astropy" version = "7.2.0" @@ -148,7 +191,7 @@ description = "Atomic file writes." optional = true python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*" groups = ["main"] -markers = "extra == \"test\" and sys_platform == \"win32\"" +markers = "sys_platform == \"win32\" and extra == \"test\"" files = [ {file = "atomicwrites-1.4.1.tar.gz", hash = "sha256:81b2c9071a49367a7f770170e5eec8cb66567cfbbc8c73d20ce5ca4a8d71cf11"}, ] @@ -273,6 +316,18 @@ files = [ [package.extras] dev = ["backports.zoneinfo ; python_version < \"3.9\"", "freezegun (>=1.0,<2.0)", "jinja2 (>=3.0)", "pytest (>=6.0)", "pytest-cov", "pytz", "setuptools", "tzdata ; sys_platform == \"win32\""] +[[package]] +name = "backoff" +version = "2.2.1" +description = "Function decoration for backoff and retry" +optional = false +python-versions = ">=3.7,<4.0" +groups = ["cdk-install"] +files = [ + {file = "backoff-2.2.1-py3-none-any.whl", hash = "sha256:63579f9a0628e06278f7e47b7d7d5b6ce20dc65c5e96a6f3ca99a6adca0396e8"}, + {file = "backoff-2.2.1.tar.gz", hash = "sha256:03f829f5bb1923180821643f8753b0502c3b682293992485b0eef2807afa5cba"}, +] + [[package]] name = "beautifulsoup4" version = "4.14.3" @@ -303,7 +358,7 @@ version = "1.42.96" description = "The AWS SDK for Python" optional = false python-versions = ">=3.9" -groups = ["main"] +groups = ["main", "cdk-install"] files = [ {file = "boto3-1.42.96-py3-none-any.whl", hash = "sha256:2f4566da2c209a98bdbfc874d813ef231c84ad24e4f815e9bc91de5f63351a24"}, {file = "boto3-1.42.96.tar.gz", hash = "sha256:b38a9e4a3fbbee9017252576f1379780d0a5814768676c08df2f539d31fcdd68"}, @@ -323,7 +378,7 @@ version = "1.42.96" description = "Low-level, data-driven core of boto 3." optional = false python-versions = ">=3.9" -groups = ["main"] +groups = ["main", "cdk-install"] files = [ {file = "botocore-1.42.96-py3-none-any.whl", hash = "sha256:db2c3e2006628be6fde81a24124a6563c363d6982fb92728837cf174bad9d98a"}, {file = "botocore-1.42.96.tar.gz", hash = "sha256:75b3b841ffacaa944f645196655a21ca777591dd8911e732bfb6614545af0250"}, @@ -383,13 +438,32 @@ dev = ["ipython", "matplotlib", "pre-commit"] docs = ["mkdocs", "mkdocs-material", "mkdocstrings[python]"] tests = ["astropy", "h5netcdf", "hypothesis", "netcdf4", "pooch", "pytest (>=3.9)", "pytest-cov", "pytest-remotedata", "xarray"] +[[package]] +name = "cdk-ecr-deployment" +version = "4.2.1" +description = "CDK construct to deploy docker image to Amazon ECR" +optional = false +python-versions = "~=3.9" +groups = ["cdk-install"] +files = [ + {file = "cdk_ecr_deployment-4.2.1-py3-none-any.whl", hash = "sha256:c6ce7a49c8301534cfb97ea59934568cd53816d8236dd4b1d5450eeed9743070"}, + {file = "cdk_ecr_deployment-4.2.1.tar.gz", hash = "sha256:e47c07da1ec9a80f2f6eb35534e5d587ef5f08965f65b0e28f83597b29638bb7"}, +] + +[package.dependencies] +aws-cdk-lib = ">=2.80.0,<3.0.0" +constructs = ">=10.0.5,<11.0.0" +jsii = ">=1.128.0,<2.0.0" +publication = ">=0.0.3" +typeguard = "2.13.3" + [[package]] name = "certifi" version = "2026.4.22" description = "Python package for providing Mozilla's CA Bundle." optional = false python-versions = ">=3.7" -groups = ["main", "layer-processing", "layer-spice"] +groups = ["main", "cdk-install", "layer-processing", "layer-spice"] files = [ {file = "certifi-2026.4.22-py3-none-any.whl", hash = "sha256:3cb2210c8f88ba2318d29b0388d1023c8492ff72ecdde4ebdaddbb13a31b1c4a"}, {file = "certifi-2026.4.22.tar.gz", hash = "sha256:8d455352a37b71bf76a79caa83a3d6c25afee4a385d632127b6afb3963f1c580"}, @@ -512,7 +586,7 @@ version = "3.4.7" description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet." optional = false python-versions = ">=3.7" -groups = ["main", "layer-processing", "layer-spice"] +groups = ["main", "cdk-install", "layer-processing", "layer-spice"] files = [ {file = "charset_normalizer-3.4.7-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:cdd68a1fb318e290a2077696b7eb7a21a49163c455979c639bf5a5dcdc46617d"}, {file = "charset_normalizer-3.4.7-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:e17b8d5d6a8c47c85e68ca8379def1303fd360c3e22093a807cd34a71cd082b8"}, @@ -651,7 +725,7 @@ version = "8.3.3" description = "Composable command line interface toolkit" optional = false python-versions = ">=3.10" -groups = ["layer-processing"] +groups = ["cdk-install", "layer-processing"] files = [ {file = "click-8.3.3-py3-none-any.whl", hash = "sha256:a2bf429bb3033c89fa4936ffb35d5cb471e3719e1f3c8a7c3fff0b8314305613"}, {file = "click-8.3.3.tar.gz", hash = "sha256:398329ad4837b2ff7cbe1dd166a4c0f8900c3ca3a218de04466f38f6497f18a2"}, @@ -666,12 +740,30 @@ version = "0.4.6" description = "Cross-platform colored terminal text." optional = false python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7" -groups = ["main", "layer-processing"] +groups = ["main", "cdk-install", "layer-processing"] files = [ {file = "colorama-0.4.6-py2.py3-none-any.whl", hash = "sha256:4f1d9991f5acc0ca119f9d443620b77f9d6b33703e51011c16baf57afb285fc6"}, {file = "colorama-0.4.6.tar.gz", hash = "sha256:08695f5cb7ed6e0531a20572697297273c47b8cae5a63ffc6d6ed5c201be6e44"}, ] -markers = {main = "(extra == \"doc\" or extra == \"test\") and sys_platform == \"win32\"", layer-processing = "platform_system == \"Windows\""} +markers = {main = "sys_platform == \"win32\" and (extra == \"doc\" or extra == \"test\")", cdk-install = "platform_system == \"Windows\" or sys_platform == \"win32\"", layer-processing = "platform_system == \"Windows\""} + +[[package]] +name = "coloredlogs" +version = "14.0" +description = "Colored terminal output for Python's logging module" +optional = false +python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*" +groups = ["cdk-install"] +files = [ + {file = "coloredlogs-14.0-py2.py3-none-any.whl", hash = "sha256:346f58aad6afd48444c2468618623638dadab76e4e70d5e10822676f2d32226a"}, + {file = "coloredlogs-14.0.tar.gz", hash = "sha256:a1fab193d2053aa6c0a97608c4342d031f1f93a3d1218432c59322441d31a505"}, +] + +[package.dependencies] +humanfriendly = ">=7.1" + +[package.extras] +cron = ["capturer (>=2.4)"] [[package]] name = "constructs" @@ -876,6 +968,181 @@ cffi = {version = ">=2.0.0", markers = "python_full_version >= \"3.9.0\" and pla [package.extras] ssh = ["bcrypt (>=3.1.5)"] +[[package]] +name = "dagster" +version = "1.13.6" +description = "Dagster is an orchestration platform for the development, production, and observation of data assets." +optional = false +python-versions = "<3.15,>=3.10" +groups = ["cdk-install"] +files = [ + {file = "dagster-1.13.6-py3-none-any.whl", hash = "sha256:716326e5c4fc191de724dab00095ff9d62532cd88629d6c3f5533a1500ff2fa0"}, + {file = "dagster-1.13.6.tar.gz", hash = "sha256:f0622217a791e65c721fc2d9785e17025dc42de0637ea71fab7e4f3b9be864a6"}, +] + +[package.dependencies] +alembic = ">=1.2.1,<1.6.3 || >1.6.3,<1.7.0 || >1.7.0,<1.11.0 || >1.11.0" +antlr4-python3-runtime = "<4.14" +click = ">=5.0,<9.0" +coloredlogs = ">=6.1,<=14.0" +dagster-pipes = "1.13.6" +dagster-shared = "1.13.6" +docstring-parser = "*" +filelock = "*" +grpcio = {version = ">=1.44.0", markers = "python_version < \"3.13\""} +grpcio-health-checking = {version = ">=1.44.0", markers = "python_version < \"3.13\""} +jinja2 = "*" +protobuf = {version = ">=4,<7", markers = "python_version >= \"3.11\""} +psutil = {version = ">=1.0", markers = "platform_system == \"Windows\""} +python-dotenv = "*" +pytz = "*" +pywin32 = {version = "!=226", markers = "platform_system == 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["cdk-install"] +files = [ + {file = "dagster_aws-0.29.6-py3-none-any.whl", hash = "sha256:40ede83d73732ec34f058943eca28492553e712b2ddf3bf7715de5b1a6e80ca3"}, + {file = "dagster_aws-0.29.6.tar.gz", hash = "sha256:516acc3496dd4b8e92c8e8574e240425791c6f1fb234facbbbb4d5c171ffc315"}, +] + +[package.dependencies] +boto3 = "*" +dagster = "1.13.6" +packaging = "*" +requests = "*" + +[package.extras] +pyspark = ["dagster-pyspark (==0.29.6)"] +redshift = ["psycopg2-binary"] +stubs = ["boto3-stubs-lite[ecs,emr,emr-containers,emr-serverless,glue,logs,s3]"] + +[[package]] +name = "dagster-graphql" +version = "1.13.6" +description = "The GraphQL API for Dagster." +optional = false +python-versions = "<3.15,>=3.10" +groups = ["cdk-install"] +files = [ + {file = "dagster_graphql-1.13.6-py3-none-any.whl", hash = "sha256:e54539742c9857ae8dc4e6fa95a9763048e065d72786abdb70c6fe63d9146121"}, + {file = "dagster_graphql-1.13.6.tar.gz", hash = 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"sha256:d8cbb0f14ceb4bb83771d9d68fc7ccda5d67c6d367a3190d63d008b0b896ee96"}, +] + +[package.dependencies] +packaging = ">=20.9" +platformdirs = "*" +pydantic = ">=2,<3.0.0" +pyyaml = ">=5.1" +tomlkit = "*" +typing-extensions = ">=4.11.0,<5" + +[[package]] +name = "dagster-webserver" +version = "1.13.6" +description = "Web UI for dagster." +optional = false +python-versions = "<3.15,>=3.10" +groups = ["cdk-install"] +files = [ + {file = "dagster_webserver-1.13.6-py3-none-any.whl", hash = "sha256:a2b69ae52b2c3009886997cbd2d3b9b30e68ae395b4bf0306c785fabc6549851"}, + {file = "dagster_webserver-1.13.6.tar.gz", hash = "sha256:0864e4fc3672a830eb3c2cd33a46c44a452994d8ae4c0f7f7ba9a0ef2f3bb05b"}, +] + +[package.dependencies] +click = ">=7.0,<9.0" +dagster = "1.13.6" +dagster-graphql = "1.13.6" +starlette = "!=0.36.0" +uvicorn = {version = "*", extras = ["standard"]} + +[package.extras] +notebook = ["nbconvert"] + [[package]] name = "distlib" version = "0.4.0" @@ -889,6 +1156,23 @@ files = [ {file = "distlib-0.4.0.tar.gz", hash = "sha256:feec40075be03a04501a973d81f633735b4b69f98b05450592310c0f401a4e0d"}, ] +[[package]] +name = "docstring-parser" +version = "0.18.0" +description = "Parse Python docstrings in reST, Google and Numpydoc format" +optional = false +python-versions = ">=3.8" +groups = ["cdk-install"] +files = [ + {file = "docstring_parser-0.18.0-py3-none-any.whl", hash = "sha256:b3fcbed555c47d8479be0796ef7e19c2670d428d72e96da63f3a40122860374b"}, + {file = "docstring_parser-0.18.0.tar.gz", hash = "sha256:292510982205c12b1248696f44959db3cdd1740237a968ea1e2e7a900eeb2015"}, +] + +[package.extras] +dev = ["pre-commit (>=2.16.0) ; python_version >= \"3.9\"", "pydoctor (>=25.4.0)", "pytest"] +docs = ["pydoctor (>=25.4.0)"] +test = ["pytest"] + [[package]] name = "docutils" version = "0.20.1" @@ -906,14 +1190,135 @@ files = [ name = "filelock" version = "3.29.0" description = "A platform independent file lock." -optional = true +optional = false python-versions = ">=3.10" 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python-versions = ">=3.11,<3.13" -content-hash = "af60cee65cdbb64698b1d1305ecd0462def32d8c161a0e01df922bd225847e50" +content-hash = "e45f381aaf07377747ca3bfa450e60ef5df1f24f0330b8bb41320e5c62290028" diff --git a/sds_data_manager/constructs/instrument_lambdas.py b/sds_data_manager/constructs/instrument_lambdas.py index 1e276d337..2c503a65d 100644 --- a/sds_data_manager/constructs/instrument_lambdas.py +++ b/sds_data_manager/constructs/instrument_lambdas.py @@ -134,17 +134,69 @@ def __init__( for q in sqs_queues: self.instrument_lambda.add_event_source(SqsEventSource(q)) + # Send reprocessing events to a sqs that dagster can poll from. + # Create a dead letter queue to save messages that could not be processed. + # This DLQ just saves the messages and doesn't do anything with them. + self.dead_letter_queue = sqs.Queue( + self, + "ReprocessingDeadLetterQueue", + queue_name="reprocessing_dead_letter_queue.fifo", + encryption=sqs.QueueEncryption.UNENCRYPTED, + fifo=True, + ) + + self.reprocessing_queue = sqs.Queue( + self, + "ReprocessQueue", + queue_name="ReprocessQueue.fifo", + # This timeout determines how long the queue waits for processing. + visibility_timeout=Duration.seconds(300), + fifo=True, + # Removes messages with identical content. + content_based_deduplication=True, + # The dead letter queue will take messages that failed retry. + dead_letter_queue=sqs.DeadLetterQueue( + max_receive_count=1, queue=self.dead_letter_queue + ), + ) + self.reprocessing_sqs_url = self.reprocessing_queue.queue_url + # Create a lambda that the API can trigger to send messages to the reprocessing + # queue. This is necessary because HTTP API Gateway v2's parameter mapping + # expression language is too limited to forward query string parameters as an + # SQS message body. This lambda acts as a proxy that converts the + # query string parameters to a JSON message and sends it to the queue. + self.reprocessing_proxy_lambda = lambda_.Function( + self, + "reprocessing-proxy", + function_name="reprocessing-proxy", + code=code, + handler="SDSCode.pipeline_lambdas.reprocessing_proxy.lambda_handler", + runtime=lambda_.Runtime.PYTHON_3_12, + environment={ + "QUEUE_URL": self.reprocessing_queue.queue_url, + }, + memory_size=128, + timeout=Duration.seconds(30), + vpc=vpc, + vpc_subnets=subnet, + security_groups=[rds_security_group], + allow_public_subnet=True, + layers=layers, + ) + + # Permission for the lambda to send messages to the reprocessing queue + self.reprocessing_queue.grant_send_messages(self.reprocessing_proxy_lambda) # Add api routes for triggering batch starter with a bulk reprocessing request # Only allow authenticated routes for reprocessing api.add_route( route="/authorized/reprocess", http_method="POST", - lambda_function=self.instrument_lambda, + lambda_function=self.reprocessing_proxy_lambda, ) api.add_route( route="/api-key/reprocess", http_method="POST", - lambda_function=self.instrument_lambda, + lambda_function=self.reprocessing_proxy_lambda, ) # Set up eventBridge rules to trigger batch starter lambda. diff --git a/sds_data_manager/lambda_code/SDSCode/pipeline_lambdas/reprocessing_proxy.py b/sds_data_manager/lambda_code/SDSCode/pipeline_lambdas/reprocessing_proxy.py new file mode 100644 index 000000000..e36b26b95 --- /dev/null +++ b/sds_data_manager/lambda_code/SDSCode/pipeline_lambdas/reprocessing_proxy.py @@ -0,0 +1,27 @@ +import json +import logging +import os + +import boto3 + +sqs_client = boto3.client("sqs") +QUEUE_URL = os.environ["QUEUE_URL"] +# Logger setup +logger = logging.getLogger(__name__) +logger.setLevel(logging.INFO) + + +def lambda_handler(event, context): + params = event.get("queryStringParameters", {}) + + logger.info( + f"Received event: {json.dumps(event, indent=2)}. Sending to reprocessing queue" + ) + + sqs_client.send_message( + QueueUrl=QUEUE_URL, + MessageBody=json.dumps(params), + MessageGroupId="reprocess", + ) + + return {"statusCode": 200, "body": json.dumps({"message": "Reprocess job queued"})} diff --git a/sds_data_manager/orchestration/dependency.py b/sds_data_manager/orchestration/dependency.py index 564d7c5ae..12d4c1823 100644 --- a/sds_data_manager/orchestration/dependency.py +++ b/sds_data_manager/orchestration/dependency.py @@ -271,6 +271,43 @@ def recursive_flatten_list(self, nested_list): return flat_list +def get_kickoff_jobs(instrument: str | None = None) -> list[ProcessingJobNode]: + """Return all the jobs that kick off each instrument pipeline. + + These are nodes that are downstream from a node with the data_level equal to + "l0" and the descriptor equal to "raw". + + If instrument is provided, return only the kickoff job for that instruments + pipeline. + + Parameters + ---------- + instrument : str, optional + The instrument for which to get the kickoff job. + + Returns + ------- + list[ProcessingJobNode] + List of ProcessingJobNode that are the root job node of each instrument pipeline. + If instrument is provided, return only the kickoff job for that instrument. + """ + kick_off_jobs = [] + + reader = DependencyConfigReader() + for potential_job in reader.config: + for upstream_node in reader.inputs(potential_job): + if upstream_node.data_type == "l0" and upstream_node.descriptor == "raw": + if instrument and upstream_node.source == instrument: + return [reader.config[potential_job]] + kick_off_jobs.append(reader.config[potential_job]) + + if not kick_off_jobs: + logger.info( + "No kickoff jobs found. Please check the instrument dependency YAML files." + ) + return kick_off_jobs + + def upload_dependency_file(dependency_file_path: Path, serialized_dependencies: str): """Upload a JSON file containing a job's dependencies to S3. @@ -327,4 +364,4 @@ def upload_dependency_file(dependency_file_path: Path, serialized_dependencies: f"Unexpected error during cadence file upload: {e}. " f"Dependency file upload failed and the job did not get kicked off." ) - return None \ No newline at end of file + return None diff --git a/sds_data_manager/orchestration/imap_dagster.py b/sds_data_manager/orchestration/imap_dagster.py index 0e5c6c4e9..07a1a3e3e 100644 --- a/sds_data_manager/orchestration/imap_dagster.py +++ b/sds_data_manager/orchestration/imap_dagster.py @@ -1,6 +1,7 @@ from dagster import Definitions from imap_data_access import VALID_DATALEVELS -from sds_data_manager.orchestration import custom_partitions, repoint_file, spice, idex +from sds_data_manager.orchestration import custom_partitions, repoint_file, spice, idex, \ + reprocessing from sds_data_manager.orchestration import spin from sds_data_manager.orchestration.imap_file import IMAPAncillaryFileHandler, IMAPScienceFileHandler from sds_data_manager.orchestration.imap_job import IMAPJobHandler @@ -103,5 +104,6 @@ + custom_partitions.sensors + spice.sensors + sensors + + reprocessing.sensor + idex.L0_sensor, ) \ No newline at end of file diff --git a/sds_data_manager/orchestration/imap_job.py b/sds_data_manager/orchestration/imap_job.py index 25732486c..05fba75d3 100644 --- a/sds_data_manager/orchestration/imap_job.py +++ b/sds_data_manager/orchestration/imap_job.py @@ -87,7 +87,7 @@ 'l3c':300, 'l3d':300} -_partition_map = { +partition_map = { "daily": custom_partitions.daily_partitions, "repoint": custom_partitions.repoint_partitions, "10d": custom_partitions.idex10_partitions, @@ -115,7 +115,7 @@ def __init__(self, """ self.job_config = job - self.partitions_def = _partition_map.get(self.job_config.partition) + self.partitions_def = partition_map.get(self.job_config.partition) self.sensor_schedule = _sensor_schedule.get(self.job_config.data_type, 600) outputs_for_job = [x.to_dagster_asset() for x in self.job_config.outputs] diff --git a/sds_data_manager/orchestration/reprocessing.py b/sds_data_manager/orchestration/reprocessing.py new file mode 100644 index 000000000..adade1992 --- /dev/null +++ b/sds_data_manager/orchestration/reprocessing.py @@ -0,0 +1,131 @@ +"""Reprocessing logic.""" + +import datetime +import json +import os + +import boto3 +from dagster import AssetKey, AssetSelection, SensorEvaluationContext, sensor +from dagster._core.execution.backfill import PartitionBackfill + +from sds_data_manager.orchestration.dagster_utilities import get_affected_partitions +from sds_data_manager.orchestration.dependency import ( + DependencyConfigReader, + get_kickoff_jobs, +) +from sds_data_manager.orchestration.imap_job import partition_map + +SQS_CLIENT = boto3.client("sqs", "us-west-2") + + +def read_sqs_messages(sqs_queue_url=None): + """Read SQS messages from the reprocessing queue.""" + response = SQS_CLIENT.receive_message( + QueueUrl=sqs_queue_url, + MaxNumberOfMessages=10, + WaitTimeSeconds=1, + ) + return response.get("Messages", []) + + +@sensor( + asset_selection=AssetSelection.all(), + minimum_interval_seconds=100, # TODO what do we want here +) +def reprocess_sensor(context: SensorEvaluationContext): + """Sensor that triggers reprocessing backfills.""" + sqs_queue_url = os.getenv("REPROCESSING_SQS_URL") + messages = read_sqs_messages(sqs_queue_url) + reader = DependencyConfigReader() + if not messages: + return None + + for message in messages: + params = json.loads(message["Body"]) + + instrument = params.get("instrument") + data_level = params.get("data_level") + descriptor = params.get("descriptor") + start_date = params.get("start_date") + end_date = params.get("end_date") + + context.log.info( + f"A reprocessing event was triggered with the parameters: {instrument=}, " + f"{data_level=}, {descriptor=}, {start_date=}, {end_date=}" + ) + if not end_date or not start_date: + raise ValueError( + "Start date and end date are required for a reprocessing Event." + ) + if not instrument: + raise ValueError("Instrument must be provided for a reprocessing event.") + + if bool(data_level) != bool(descriptor): + raise ValueError( + "data_level and descriptor must both be provided or both None." + ) + + if not data_level: + # If data_level is not provided, we need to reprocess all levels. + # Get the jobs that kick of each pipeline, to trigger processing + # for all levels. + root_job = get_kickoff_jobs(instrument)[0] + # Create the asset name based on the root job information + asset_name = f"{instrument}_{root_job.data_type}_{root_job.descriptor}" + partition = root_job.partition + else: + # If data_level is provided (and therefore descriptor) construct the + # asset name using the input parameters + asset_name = f"{instrument}_{data_level}_{descriptor}" + # Get the partition type from the dependency config + partition = reader.config[(instrument, data_level, descriptor)].partition + + # Get the partitions definition based on the DependencyNode + partition_def = partition_map.get(partition) + # convert start and end date to datetime + start_date = datetime.datetime.strptime(start_date, "%Y%m%d").replace( + tzinfo=datetime.timezone.utc + ) + end_date = datetime.datetime.strptime(end_date, "%Y%m%d").replace( + tzinfo=datetime.timezone.utc + ) + + # Determine the affected partitions based on the start_date and end_date + partition_keys = get_affected_partitions( + context, partition_def, start_date, end_date + ) + if not partition_keys: + return None + context.log.info( + f"Reprocessing asset {asset_name} across {partition_keys} partitions" + ) + + backfill = PartitionBackfill.from_asset_partitions( + backfill_id=f"reprocess-{instrument}-{int(datetime.datetime.now().timestamp())}", + asset_graph=context.repository_def.asset_graph, + partition_names=partition_keys, + asset_selection=[AssetKey(asset_name)], + backfill_timestamp=datetime.datetime.now(datetime.timezone.utc).timestamp(), + tags={ + "instrument": instrument, + "descriptor": descriptor or "", + "data_level": data_level or "", + }, + dynamic_partitions_store=context.instance, + all_partitions=False, + title=None, + description=None, + run_config=None, + ) + + context.instance.add_backfill(backfill) + + SQS_CLIENT.delete_message( + QueueUrl=sqs_queue_url, + ReceiptHandle=message["ReceiptHandle"], + ) + + return None + + +sensors = [reprocess_sensor] \ No newline at end of file diff --git a/sds_data_manager/utils/stackbuilder.py b/sds_data_manager/utils/stackbuilder.py index ed5ece0fa..fee5e7a75 100644 --- a/sds_data_manager/utils/stackbuilder.py +++ b/sds_data_manager/utils/stackbuilder.py @@ -289,7 +289,7 @@ def build_sds( instrument_delay_sqs = file_arrive_sqs_construct.delay_queue - instrument_lambdas.BatchStarterLambda( + batch_starter_construct = instrument_lambdas.BatchStarterLambda( scope=sdc_stack, construct_id="BatchStarterLambda", env=env, @@ -461,8 +461,9 @@ def build_sds( secret_name=ialirt_secret_name, account_name=account_name, ) - # Dagster Stack - # Repo root is three levels up from this file (sds_data_manager/utils/stackbuilder.py) + # Dagster Stack + # Repo root is three levels up from this + # file (sds_data_manager/utils/stackbuilder.py) repo_root = str(Path(__file__).parent.parent.parent) dagster_repo_stack = dagster_construct.ElasticContainerRegistryStack( @@ -493,7 +494,7 @@ def build_sds( # db_name # username: dagster # port: 5432 - # + # # Dagster will look for DB credentails through dagster.yaml in # sds_data_manager/orchestration/dagster.yaml. # In there, it's going to read DAGSTER_PG_PASSWORD and DAGSTER_PG_HOST. @@ -508,6 +509,7 @@ def build_sds( "imap_data_access_url", "https://api.dev.imap-mission.com" ), "SSM_API_KEY_PARAMETER": "/imap-sdc/batch-jobs/api-key", + "REPROCESSING_SQS_URL": batch_starter_construct.reprocessing_sqs_url, } dagster_ecs_stack = dagster_construct.DagsterEcsStack( @@ -519,6 +521,7 @@ def build_sds( ) dagster_ecs_stack.node.add_dependency(dagster_image_stack) + def build_backup(scope: App, env: Environment, source_account: str): """Build backup bucket with permissions for replication from source_account. diff --git a/tests/infrastructure/test_instrument_lambda_construct.py b/tests/infrastructure/test_instrument_lambda_construct.py index 74154899a..bd4ce0f9d 100644 --- a/tests/infrastructure/test_instrument_lambda_construct.py +++ b/tests/infrastructure/test_instrument_lambda_construct.py @@ -60,7 +60,7 @@ def template(stack, env, code): def test_batch_starter_resources(template): """Ensure the template has appropriate IAM roles.""" - template.resource_count_is("AWS::IAM::Role", 7) + template.resource_count_is("AWS::IAM::Role", 9) # 2 for RDS stack + 1 for BatchStarterLambda + 1 for API Gateway + 1 for # bucket notifications template.resource_count_is("AWS::Lambda::Function", 5) diff --git a/tests/orchestration/test_reprocessing.py b/tests/orchestration/test_reprocessing.py new file mode 100644 index 000000000..b8d0bb819 --- /dev/null +++ b/tests/orchestration/test_reprocessing.py @@ -0,0 +1,157 @@ +"""Test the dagster reprocessing functionality.""" + +import json +import os +from unittest.mock import Mock, patch + +import pytest +from dagster import AssetKey, DagsterInstance, Definitions, asset, build_sensor_context +from dagster._core.definitions.partitions.subset import DefaultPartitionsSubset + +from sds_data_manager.orchestration import reprocessing +from sds_data_manager.orchestration.custom_partitions import ( + daily_partitions, + repoint_partitions, +) + + +@pytest.fixture +def mock_env_vars(): + """Mock environment variables.""" + with patch.dict( + os.environ, + { + "REPROCESSING_SQS_URL": "https://sqs.us-west-2.amazonaws.com/test/reprocessing_queue" + }, + ): + yield + + +def test_reprocess_one_repoint_partition(mock_env_vars) -> None: + """Test the reprocessing functionality.""" + instance = DagsterInstance.ephemeral() + instance.add_dynamic_partitions( + "repoint_partitions", ["repoint123_2026-01-01T00:00:00_to_2026-01-02T00:00:00"] + ) + + # Set up upstream assets for glows pipeline + @asset(partitions_def=repoint_partitions) + def glows_l1a_all(): + pass + + @asset(partitions_def=repoint_partitions) + def glows_l1b_de(): + pass + + @asset(partitions_def=repoint_partitions) + def glows_l1b_hist(): + pass + + # Create a definition object with all the related assets + defs = Definitions(assets=[glows_l1a_all, glows_l1b_de, glows_l1b_hist]) + + context = build_sensor_context( + instance=instance, + repository_def=defs.get_repository_def(), + ) + + mock_sqs_client = Mock() + + mock_sqs_client.receive_message.return_value = { + "Messages": [ + { + "MessageId": "test-id", + "ReceiptHandle": "test-handle", + "Body": json.dumps( + { + "data_level": "l1a", + "descriptor": "all", + "end_date": "20260101", + "instrument": "glows", + "reprocessing": "True", + "start_date": "20260101", + } + ), + } + ] + } + with ( + patch.object(reprocessing, "SQS_CLIENT", mock_sqs_client), + ): + reprocessing.reprocess_sensor(context) + + # Check that there was a backfill submitted + backfills = instance.get_backfills() + assert len(backfills) == 1 + backfill_subset = backfills[ + 0 + ].asset_backfill_data.target_subset.partitions_subsets_by_asset_key + # There should be only one asset key + assert len(backfill_subset) == 1 + assert backfill_subset[AssetKey("glows_l1a_all")] == DefaultPartitionsSubset( + subset={"repoint123_2026-01-01T00:00:00_to_2026-01-02T00:00:00"} + ) + + +def test_reprocess_all_codice(mock_env_vars) -> None: + """Test the reprocessing functionality for all of codice.""" + instance = DagsterInstance.ephemeral() + instance.add_dynamic_partitions( + "daily_partitions", ["daily_2026-01-01T00:00:00_to_2026-01-02T00:00:00"] + ) + + # Set up upstream assets for the codice pipeline + @asset(partitions_def=daily_partitions) + def codice_l1a_all(): + pass + + @asset(partitions_def=daily_partitions) + def codice_l1b_hi_omni(): + pass + + @asset(partitions_def=daily_partitions) + def codice_l2_hi_omni(): + pass + + # Create a definition object with all the related assets + defs = Definitions(assets=[codice_l1a_all, codice_l1b_hi_omni, codice_l2_hi_omni]) + + context = build_sensor_context( + instance=instance, + repository_def=defs.get_repository_def(), + ) + + mock_sqs_client = Mock() + + mock_sqs_client.receive_message.return_value = { + "Messages": [ + { + "MessageId": "test-id", + "ReceiptHandle": "test-handle", + "Body": json.dumps( + { + "end_date": "20260101", + "instrument": "codice", + "reprocessing": "True", + "start_date": "20260101", + } + ), + } + ] + } + with ( + patch.object(reprocessing, "SQS_CLIENT", mock_sqs_client), + ): + reprocessing.reprocess_sensor(context) + + # Check that there was a backfill submitted + backfills = instance.get_backfills() + assert len(backfills) == 1 + backfill_subset = backfills[ + 0 + ].asset_backfill_data.target_subset.partitions_subsets_by_asset_key + # There should be only one asset key + assert len(backfill_subset) == 1 + assert backfill_subset[AssetKey("codice_l1a_all")] == DefaultPartitionsSubset( + subset={"daily_2026-01-01T00:00:00_to_2026-01-02T00:00:00"} + )