From 2ae08179cf7c66b0aa66a85fcfd1ff4f410e2e18 Mon Sep 17 00:00:00 2001 From: Nikki Tebaldi <17799906+nikki-t@users.noreply.github.com> Date: Thu, 3 Oct 2024 14:47:51 -0400 Subject: [PATCH] Feature/issue 211 - Query track ingest table for granules with "to_ingest" status (#227) * /version 1.3.0a0 * Update build.yml * /version 1.3.0a1 * /version 1.3.0a2 * Feature/issue 175 - Update docs to point to OPS (#176) * changelog * update examples, remove load_data readme, info moved to wiki * Dependency update to fix snyk scan * issues/101: Support for HTTP Accept header (#172) * Reorganize timeseries code to prep for Accept header * Enable Accept header to return response of specific content-type * Fix whitespace and string continuation * Make error handling consistent and add an additional test where a reach can't be found * Update changelog with issue for unreleased version * Add 415 status code to API definition * Few minor cleanup items * Few minor cleanup items * Update to aiohttp@3.9.4 * Fix dependencies --------- Co-authored-by: Frank Greguska <89428916+frankinspace@users.noreply.github.com> * /version 1.3.0a3 * issues/102: Support compression of API response (#173) * Enable payload compression * Update changelog with issue --------- Co-authored-by: Frank Greguska <89428916+frankinspace@users.noreply.github.com> * /version 1.3.0a4 * Feature/issue 100 Add option to 'compact' GeoJSON result into single feature (#177) * Reorganize timeseries code to prep for Accept header * Enable Accept header to return response of specific content-type * Fix whitespace and string continuation * Make error handling consistent and add an additional test where a reach can't be found * Update changelog with issue for unreleased version * Add 415 status code to API definition * Few minor cleanup items * Few minor cleanup items * Update to aiohttp@3.9.4 * Fix dependencies * Update required query parameters based on current API functionality * Enable return of 'compact' GeoJSON response * Fix linting and add test data * Update documentation for API accept headers and compact GeoJSON response * Fix references to incorrect Accept header examples --------- Co-authored-by: Frank Greguska <89428916+frankinspace@users.noreply.github.com> * /version 1.3.0a5 * Feature/issue 183 (#185) * Provide introduction to timeseries endpoint * Remove _units in fields list * Fix typo * Update examples with Accept headers and compact query parameter * Add issue to changelog * Fix typo in timeseries documentation * Update pymysql * Update pymysql * Provide clarity on accept headers and request parameter fields * /version 1.3.0a6 * Feature/issue 186 Implement API keys (#188) * API Gateway Lambda authorizer to facilitate API keys and usage plans * Unit tests to test Lambda authorizer * Fix terraform file formatting * API Gateway Lambda Authorizer - Lambda function - API Keys and Authorizer definition in OpenAPI spec - API gateway API keys - API gateway usage plans - SSM parameters for API keys * Fix trailing whitespace * Set default region environment variable * Fix SNYK vulnerabilities * Add issue to changelog * Implement custom trusted partner header x-hydrocron-key * Update cryptography for SNYK vulnerability * Update documentation to include API key usage * Update quota and throttle settings for API Gateway * Update API keys documentation to indicate to be implemented * Move API key lookup to Lambda INIT * Remove API key authentication and update API key to x-hydrocron-key * /version 1.3.0a7 * Update changelog for 1.3.0 release * /version 1.4.0a0 * Feature/issue 198 (#207) * Update pylint to deal with errors and fix collection reference * Initial CMR and Hydrocron queries - Includes placeholders for other operations needed to track granule ingest. - GranuleUR query for Hydrocron tables. * Add and set up vcrpy for testing CMR API query * Test track ingest operations - Test CMR and hydrocron queries - Test granuleUR query - Update database to include granuleUR GSI * Update to use track_ingest naming consistently * Initial Lambda function and IAM role definition * Replace deprecated path function with as_file * Add SSM read IAM permissions * Add DynamoDB read permissions * Update track ingest lambda memory * Remove duplicate IAM permissions * Add in permissions to query index * Update changelog * Update changelog description * Use python_cmr for CMR API queries * /version 1.4.0a1 * Add doi to documentation pages (#216) * Update intro.md with DOI * Update overview.md with DOI * /version 1.4.0a2 * issue-193: Add Dynamo DB Table for SWOT Prior Lakes (#209) * add code to handle prior lakes shapefiles, add test prior lake data * update terraform to add prior lake table * fix tests, change to smaller test data file, changelog * linting * reconfigure main load_data method to make more readable and pass linting * lint * lint * fix string casting to lower storage req & update test responses to handle different rounding pattern in coords * update load benchmarking function for linting and add unit test * try parent collection for lakes * update version parsing for parent collection * fix case error * fix lake id reference * add logging to troubleshoot too large features * add item size logging and remove error raise for batch write * clean up logging statements & move numeric_columns assignment * update batch logging statement * Rename constant * Fix temp dir security risk https://rules.sonarsource.com/python/RSPEC-5443/ * Fix temp dir security risk https://rules.sonarsource.com/python/RSPEC-5443/ * fix code coverage calculation --------- Co-authored-by: Frank Greguska <89428916+frankinspace@users.noreply.github.com> * /version 1.4.0a3 * Feature/issue 201 Create a table for tracking granule ingest status (#214) * Define track ingest database and IAM permissions * Update changelog with issue * Modify table structure to support sparse status index * Updated to only apply PITR in ops --------- Co-authored-by: Frank Greguska <89428916+frankinspace@users.noreply.github.com> * /version 1.4.0a4 * Feature/issue 210 - Load large geometry polygons (#219) * add functions to handle null geometries and convert polygons to points * update doi in docs * fix fill null geometries * fix tests and update changelog * /version 1.4.0a5 * Feature/issue 222 - Add granule info to track ingest table on load (#223) * adjust lambdas to populate track ingest table on granule load * changelog * remove test cnm * lint * change error caught when handling checksum * update lambda role permissions to write to track ingest table * fix typo on lake table terraform * set default fill values for checksum and rev date in track status * fix checksum handling in bulk load data * lint * add logging to debug * /version 1.4.0a6 * Add SSM parameter read for last run time * Feature/issue-225: Create one track ingest table per feature type (#226) * add track ingest tables for each feature type and adjust load data to populate * changelog * /version 1.4.0a7 * Feature/issue 196 Add new feature type to query the API for lake data (#224) * Initial API queries for lake data * Unit tests for lake data * Updates after center point calculations - Removed temp code to calculate a point in API - Implemented unit test to test lake data retrieval - Updated fixtures to load in lake data for testing * Add read lake table permissions to lambda timeseries and track ingest roles * Update documenation to include lake data * Updated documentation to include info on lake centerpoints --------- Co-authored-by: Frank Greguska <89428916+frankinspace@users.noreply.github.com> * /version 1.4.0a8 * Feature/issue 205 - Add Confluence API key (#221) * Fix possible variable references before value is assigned * Define Confluence API key and trusted partner plan limits * Define a list of trusted partner keys and store under single parameter * Define API keys as encrypted envrionment variables for Lambda authorizer * Update authorizer and connection class to use KMS to retrieve API keys * Hack to force lambda deployment when ssm value changes (#218) * Add replace_triggered_by to hydrocron_lambda_authorizer * Introduce environment variable that contains random id which will change whenever an API key value changes. This will force lambda to publish new version of the function. * Remove unnecessary hash function * Update to SSM parameter API key storage and null_resource enviroment variable * Update Terraform and AWS provider * Update API key documentation * Set source_code_hash to force deployment of new image * Downgrade AWS provider to 4.0 to remove inline policy errors * Update docs/timeseries.md --------- Co-authored-by: Frank Greguska <89428916+frankinspace@users.noreply.github.com> * /version 1.4.0a9 * /version 1.4.0a10 * changelog for 1.4.0 release * /version 1.5.0a0 * Initial track ingest table query * Fix linting and code style * Implement feature count operations * Enable S3 permissions and set environment variable for track lambda * Fix trailing white spaces and code format * Update docstrings for class methods * Implement run time storage in SSM * Query track table unit tests * Update CHANGELOG with issue * Update SSM run time parameter * Fix trailing whitespace * Fix reference to IAM policy * Enable specification of temporal range to search revision date by * Fix SSM put parameter policy * Update IAM permissions for reading track ingest * Enable full temporal search on CMR granules * Add capability to download shapefile granule to count features * Update granule UR to include .zip * Count features via Hydrocron table query * Remove unnecessary s3 permissions * Remove whitespace from blank line * Update cryptography to 43.0.1 * update dependencies * upgrade geopandas * update dependencies --------- Co-authored-by: nikki-t Co-authored-by: Frank Greguska <89428916+frankinspace@users.noreply.github.com> Co-authored-by: frankinspace Co-authored-by: Victoria McDonald <49625194+torimcd@users.noreply.github.com> Co-authored-by: Cassie Nickles <44206543+cassienickles@users.noreply.github.com> Co-authored-by: cassienickles Co-authored-by: podaac-cicd[bot] Co-authored-by: Victoria McDonald Co-authored-by: torimcd --- CHANGELOG.md | 1 + docs/examples.md | 187 --------------- hydrocron/api/data_access/db.py | 67 ++++++ hydrocron/db/track_ingest.py | 204 ++++++++++++---- terraform/hydrocron-apigw.tf | 27 --- terraform/hydrocron-iam.tf | 20 ++ terraform/hydrocron-lambda.tf | 1 + terraform/hydrocron-ssm.tf | 49 ++++ tests/conftest.py | 143 +++++++++++- ...0240825T231711_20240825T231722_PIC0_01.zip | Bin 0 -> 4284156 bytes .../test_data/query_cmr_granule_results.json | 220 +++++++++--------- tests/test_track_ingest.py | 169 ++++++++++++-- 12 files changed, 696 insertions(+), 392 deletions(-) create mode 100644 terraform/hydrocron-ssm.tf create mode 100644 tests/data/SWOT_L2_HR_RiverSP_Reach_020_149_NA_20240825T231711_20240825T231722_PIC0_01.zip diff --git a/CHANGELOG.md b/CHANGELOG.md index aed866e..0bec4e6 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -7,6 +7,7 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0 ## [Unreleased] ### Added + - Issue 211 - Query track ingest table for granules with "to_ingest" status ### Changed ### Deprecated ### Removed diff --git a/docs/examples.md b/docs/examples.md index 5090424..cf87fa5 100644 --- a/docs/examples.md +++ b/docs/examples.md @@ -266,193 +266,6 @@ Will return GeoJSON: } ] } -} -``` - -** geometry simplified for example - -## Get time series GeoJSON for river node - -Search for a single river node by ID. - -[https://soto.podaac.earthdatacloud.nasa.gov/hydrocron/v1/timeseries?feature=Node&feature_id=12228200110861&start_time=2024-01-25T00:00:00Z&end_time=2024-03-30T00:00:00Z&output=geojson&fields=reach_id,node_id,time_str,wse](https://soto.podaac.earthdatacloud.nasa.gov/hydrocron/v1/timeseries?feature=Node&feature_id=12228200110861&start_time=2024-01-25T00:00:00Z&end_time=2024-03-30T00:00:00Z&output=geojson&fields=reach_id,node_id,time_str,wse) - -Will return GeoJSON: - -```json -{ -"status": "200 OK", -"time": 604.705, -"hits": 9, -"results": { - "csv": "", - "geojson": { - "type": "FeatureCollection", - "features": [ - { - "id": "0", - "type": "Feature", - "properties": { - "reach_id": "12228200111", - "node_id": "12228200110861", - "time_str": "2024-01-30T21:19:19Z", - "wse": "677.9232", - "wse_units": "m" - }, - "geometry": { - "type": "Point", - "coordinates": [ - 35.149314, - -10.256285 - ] - } - }, - { - "id": "1", - "type": "Feature", - "properties": { - "reach_id": "12228200111", - "node_id": "12228200110861", - "time_str": "2024-02-06T08:37:09Z", - "wse": "673.46918", - "wse_units": "m" - }, - "geometry": { - "type": "Point", - "coordinates": [ - 35.149314, - -10.256285 - ] - } - }, - { - "id": "2", - "type": "Feature", - "properties": { - "reach_id": "12228200111", - "node_id": "12228200110861", - "time_str": "no_data", - "wse": "-999999999999.0", - "wse_units": "m" - }, - "geometry": { - "type": "Point", - "coordinates": [ - 35.149314, - -10.256285 - ] - } - }, - { - "id": "3", - "type": "Feature", - "properties": { - "reach_id": "12228200111", - "node_id": "12228200110861", - "time_str": "2024-02-20T18:04:24Z", - "wse": "673.69799", - "wse_units": "m" - }, - "geometry": { - "type": "Point", - "coordinates": [ - 35.149314, - -10.256285 - ] - } - }, - { - "id": "4", - "type": "Feature", - "properties": { - "reach_id": "12228200111", - "node_id": "12228200110861", - "time_str": "2024-02-27T05:22:15Z", - "wse": "674.66235", - "wse_units": "m" - }, - "geometry": { - "type": "Point", - "coordinates": [ - 35.149314, - -10.256285 - ] - } - }, - { - "id": "5", - "type": "Feature", - "properties": { - "reach_id": "12228200111", - "node_id": "12228200110861", - "time_str": "no_data", - "wse": "-999999999999.0", - "wse_units": "m" - }, - "geometry": { - "type": "Point", - "coordinates": [ - 35.149314, - -10.256285 - ] - } - }, - { - "id": "6", - "type": "Feature", - "properties": { - "reach_id": "12228200111", - "node_id": "12228200110861", - "time_str": "2024-03-12T14:49:26Z", - "wse": "673.47788", - "wse_units": "m" - }, - "geometry": { - "type": "Point", - "coordinates": [ - 35.149314, - -10.256285 - ] - } - }, - { - "id": "7", - "type": "Feature", - "properties": { - "reach_id": "12228200111", - "node_id": "12228200110861", - "time_str": "2024-03-19T02:07:17Z", - "wse": "675.23219", - "wse_units": "m" - }, - "geometry": { - "type": "Point", - "coordinates": [ - 35.149314, - -10.256285 - ] - } - }, - { - "id": "8", - "type": "Feature", - "properties": { - "reach_id": "12228200111", - "node_id": "12228200110861", - "time_str": "no_data", - "wse": "-999999999999.0", - "wse_units": "m" - }, - "geometry": { - "type": "Point", - "coordinates": [ - 35.149314, - -10.256285 - ] - } - } - ] - } } } ``` diff --git a/hydrocron/api/data_access/db.py b/hydrocron/api/data_access/db.py index 1093869..138a7c5 100644 --- a/hydrocron/api/data_access/db.py +++ b/hydrocron/api/data_access/db.py @@ -76,6 +76,44 @@ def get_prior_lake_series_by_feature_id(self, feature_id, start_time, end_time): ) return items + def get_series_granule_ur(self, table_name, feature_name, granule_ur): + """ + + @param table_name: str - Hydrocron table to query + @param granule_ur: str - Granule UR + @return: dictionary of items + """ + + hydrocron_table = self._dynamo_instance.Table(table_name) + hydrocron_table.load() + + items = hydrocron_table.query( + ProjectionExpression=feature_name, + IndexName="GranuleURIndex", + KeyConditionExpression=( + Key("granuleUR").eq(granule_ur) + ) + ) + last_key_evaluated = "" + if "LastEvaluatedKey" in items.keys(): + last_key_evaluated = items["LastEvaluatedKey"] + + while last_key_evaluated: + next_items = hydrocron_table.query( + ExclusiveStartKey=last_key_evaluated, + ProjectionExpression=feature_name, + IndexName="GranuleURIndex", + KeyConditionExpression=( + Key("granuleUR").eq(granule_ur) + ) + ) + items["Items"].extend(next_items["Items"]) + last_key_evaluated = "" + if "LastEvaluatedKey" in next_items.keys(): + last_key_evaluated = next_items["LastEvaluatedKey"] + + return items["Items"] + def get_granule_ur(self, table_name, granule_ur): """ @@ -96,3 +134,32 @@ def get_granule_ur(self, table_name, granule_ur): ) ) return items + + def get_status(self, table_name, status): + """ + + @param table_name: str - Hydrocron table to query + @param status: str - Status to query for + """ + + hydrocron_table = self._dynamo_instance.Table(table_name) + items = hydrocron_table.query( + IndexName="statusIndex", + KeyConditionExpression=(Key("status").eq(status)) + ) + last_key_evaluated = "" + if "LastEvaluatedKey" in items.keys(): + last_key_evaluated = items["LastEvaluatedKey"] + + while last_key_evaluated: + next_items = hydrocron_table.query( + ExclusiveStartKey=last_key_evaluated, + IndexName="statusIndex", + KeyConditionExpression=(Key("status").eq(status)) + ) + items["Items"].extend(next_items["Items"]) + last_key_evaluated = "" + if "LastEvaluatedKey" in next_items.keys(): + last_key_evaluated = next_items["LastEvaluatedKey"] + + return items["Items"] diff --git a/hydrocron/db/track_ingest.py b/hydrocron/db/track_ingest.py index faeff87..b5b4c71 100644 --- a/hydrocron/db/track_ingest.py +++ b/hydrocron/db/track_ingest.py @@ -30,42 +30,77 @@ class Track: CMR_API = "https://cmr.earthdata.nasa.gov/search/granules.umm_json" PAGE_SIZE = 2000 + FEATURE_ID = { + "SWOT_L2_HR_RiverSP_reach_2.0": "reach_id", + "SWOT_L2_HR_RiverSP_node_2.0": "node_id", + "SWOT_L2_HR_LakeSP_prior_2.0": "lake_id" + } - def __init__(self, collection_shortname, collection_start_date, hydrocron_table): + def __init__(self, collection_shortname, collection_start_date=None, query_start=None, query_end=None): + """ + :param collection_shortname: Collection shortname to query CMR for + :type collection_shortname: string + :param collection_start_date: Date to begin revision_date query in CMR + :type collection_start_date: datetime + :param query_start: Start date to query for granules on + :type query_start: datetime + :param query_end: End date to query for granules on + :type query_end: datetime + """ self.collection_shortname = collection_shortname - self.cmr_granules = {} - self.hydrocron_granules = {} - self.hydrocron_table = hydrocron_table - self.revision_start = self._get_revision_start(collection_start_date) - self.revision_end = datetime.datetime.now(timezone.utc) # TODO - Decide on latency and subtract from current datetime - - def _get_revision_start(self, collection_start_date): + self.data_repository = DynamoDataRepository(connection.dynamodb_resource) + self.ingested = [] + self.to_ingest = [] + self.ssm_client = connection.ssm_client + if collection_start_date: + self.query_start = self._get_query_start(collection_start_date) + self.query_end = datetime.datetime.now(timezone.utc) # TODO - Decide on latency and subtract from current datetime + else: + self.query_start = query_start + self.query_end = query_end + + def _get_query_start(self, collection_start_date): """Locate the last most recent date that was queried in order to only - query on granules that have not seen before.""" + query on granules that have not seen before. + + :param collection_start_date: Date to begin revision_date query in CMR + :type collection_start_date: datetime + """ - # TODO - Query track-ingest table to determine max revision date - revision_start = None + last_run = self.ssm_client.get_parameter(Name=f"/service/hydrocron/track-ingest-runtime/{self.collection_shortname}")["Parameter"]["Value"] + if last_run != "no_data": + query_start = datetime.datetime.strptime(last_run, "%Y-%m-%dT%H:%M:%S").replace(tzinfo=timezone.utc) + else: + query_start = None - if not revision_start: - revision_start = collection_start_date + if not query_start: + query_start = collection_start_date - return revision_start + return query_start - def query_cmr(self): + def query_cmr(self, temporal): """Query CMR to locate all granules for a specific time range. Note: The use of "revision_date" should capture any granules that have been reprocessed in the time range. + + :param temporal: Indicates if temporal search should be conducted + :type temporal: boolean """ query = GranuleQuery() - logging.info("Querying revision_date range: %s to %s.", self.revision_start, self.revision_end) - granules = query.short_name(self.collection_shortname).revision_date(self.revision_start, self.revision_end).format("umm_json").get(query.hits()) + if temporal: + logging.info("Querying CMR temporal range: %s to %s.", self.query_start, self.query_end) + granules = query.short_name(self.collection_shortname).temporal(self.query_start, self.query_end).format("umm_json").get(query.hits()) + else: + logging.info("Querying CMR revision_date range: %s to %s.", self.query_start, self.query_end) + granules = query.short_name(self.collection_shortname).revision_date(self.query_start, self.query_end).format("umm_json").get(query.hits()) + cmr_granules = {} for granule in granules: granule_json = json.loads(granule) - self.cmr_granules.update(self._get_granule_ur_list(granule_json)) - - logging.info("Located %s granules in CMR.", len(self.cmr_granules.keys())) + cmr_granules.update(self._get_granule_ur_list(granule_json)) + logging.info("Located %s granules in CMR.", len(cmr_granules.keys())) + return cmr_granules @staticmethod def _get_granule_ur_list(granules): @@ -79,10 +114,10 @@ def _get_granule_ur_list(granules): granule_dict = {} for item in granules["items"]: - granule_ur = item["umm"]["GranuleUR"].replace("_swot", "") + granule_ur = item["umm"]["GranuleUR"].replace("_swot", ".zip") checksum = 0 for file in item["umm"]["DataGranule"]["ArchiveAndDistributionInformation"]: - if f"{granule_ur}.zip" == file["Name"]: + if granule_ur == file["Name"]: checksum = file["Checksum"]["Value"] granule_dict[granule_ur] = { "revision_date": item["meta"]["revision-date"], @@ -90,32 +125,90 @@ def _get_granule_ur_list(granules): } return granule_dict - def query_hydrocron(self): - """Query Hydrocron for time range and gather GranuleURs.""" + def query_hydrocron(self, hydrocron_table, cmr_granules): + """Query Hydrocron for time range and gather GranuleURs that do NOT exist in the Hydrocron table. - data_repository = DynamoDataRepository(connection.dynamodb_resource) - for granule_ur, data in self.cmr_granules.items(): - items = data_repository.get_granule_ur(self.hydrocron_table, f"{granule_ur}.zip") - if len(items["Items"]) > 0: - self.hydrocron_granules[granule_ur] = data + :param hydrocron_table: Name of hydrocron table to query + :type hydrocron_table: str + :param cmr_granules: List of CMR granules to query for + :type cmr_granules: list + """ - logging.info("Located %s granules in Hydrocron.", len(self.hydrocron_granules.keys())) + for granule_ur, data in cmr_granules.items(): + items = self.data_repository.get_granule_ur(hydrocron_table, granule_ur) + if len(items["Items"]) == 0: + self.to_ingest.append({ + "granuleUR": granule_ur, + "revision_date": data["revision_date"], + "checksum": data["checksum"], + "expected_feature_count": -1, + "actual_feature_count": 0, + "status": "to_ingest" + }) + logging.info("Located %s granules NOT in Hydrocron.", len(self.to_ingest)) + + def query_track_ingest(self, hydrocron_track_table, hydrocron_table): + """Query track status table for granules with "to_ingest" status. + + :param hydrocron_track_table: Name of hydrocron track table to query + :type hydrocron_track_table: str + :param hydrocron_table: Name of hydrocron table to query + :type hydrocron_table: str + """ - def query_track_ingest(self): - """Query track status table for granules with "to_ingest" status.""" + items = self.data_repository.get_status(hydrocron_track_table, "to_ingest") + logging.info("Located %s granules with 'to_ingest' status.", len(items)) + + for item in items: + granule_ur = item["granuleUR"] + features = self.data_repository.get_series_granule_ur( + hydrocron_table, + self.FEATURE_ID[self.collection_shortname], + granule_ur + ) + number_features = len(features) + ingest_item = { + "granuleUR": granule_ur, + "revision_date": item["revision_date"], + "checksum": item["checksum"], + "expected_feature_count": int(item["expected_feature_count"]), + "actual_feature_count": number_features + } + if number_features == item["expected_feature_count"]: + self.ingested.append(ingest_item) + else: + ingest_item["status"] = "to_ingest" + self.to_ingest.append(ingest_item) - def count_features(self): - """Count granule features to determine if all features have been ingested.""" + logging.info("Located %s granules that require ingestion.", len(self.to_ingest)) + logging.info("Located %s granules that are already ingested.", len(self.ingested)) def publish_cnm_ingest(self): """Publish CNM message to trigger granule ingestion.""" - def update_track_ingest(self): - """Update track status table with new granules and statuses.""" + def update_track_ingest(self, hydrocron_track_table): + """Update track status table with new granules and statuses. + + :param hydrocron_track_table: Name of hydrocron track table to query + :type hydrocron_track_table: str + """ + + def update_runtime(self): + """Update SSM parameter runtime for next execution.""" + + self.ssm_client.put_parameter(Name=f"/service/hydrocron/track-ingest-runtime/{self.collection_shortname}", + Value=self.query_end.strftime("%Y-%m-%dT%H:%M:%S"), + Overwrite=True) def track_ingest_handler(event, context): - """Lambda handler to track status of ingested granules to Hydrocron.""" + """Lambda handler to track status of ingested granules to Hydrocron. + + :param event: Lambda handler Event object + :type event: dict + :param context: Lambda handler Context object + :type context: dict + """ start = datetime.datetime.now() @@ -123,16 +216,37 @@ def track_ingest_handler(event, context): logging.info("Event: %s", event) collection_shortname = event["collection_shortname"] - collection_start_date = datetime.datetime.strptime(event["collection_start_date"], "%Y%m%d").replace(tzinfo=timezone.utc) hydrocron_table = event["hydrocron_table"] - - track = Track(collection_shortname, collection_start_date, hydrocron_table) - track.query_cmr() - track.query_hydrocron() - track.query_track_ingest() - track.count_features() + hydrocron_track_table = event["hydrocron_track_table"] + temporal = "temporal" in event.keys() + if temporal: + query_start = datetime.datetime.strptime(event["query_start"], "%Y-%m-%dT%H:%M:%S").replace(tzinfo=timezone.utc) + query_end = datetime.datetime.strptime(event["query_end"], "%Y-%m-%dT%H:%M:%S").replace(tzinfo=timezone.utc) + track = Track(collection_shortname, query_start=query_start, query_end=query_end) + else: + collection_start_date = datetime.datetime.strptime(event["collection_start_date"], "%Y-%m-%dT%H:%M:%S").replace(tzinfo=timezone.utc) + track = Track(collection_shortname, collection_start_date=collection_start_date) + + logging.info("Collection shortname: %s", collection_shortname) + logging.info("Hydrocron table: %s", hydrocron_table) + logging.info("Hydrocron track ingest table: %s", hydrocron_track_table) + logging.info("Temporal indicator for revision dates: %s", temporal) + if temporal: + logging.info("Temporal start date: %s", query_start) + logging.info("Temporal end date: %s", query_end) + else: + logging.info("Collection start date: %s", collection_start_date) + + cmr_granules = track.query_cmr(temporal) + track.query_hydrocron(hydrocron_table, cmr_granules) + track.query_track_ingest(hydrocron_track_table, hydrocron_table) track.publish_cnm_ingest() - track.update_track_ingest() + track.update_track_ingest(hydrocron_track_table) + if not temporal: + track.update_runtime() + + logging.info("To Ingest: %s", track.to_ingest) + logging.info("Ingested: %s", track.ingested) end = datetime.datetime.now() logging.info("Elapsed: %s", (end - start)) diff --git a/terraform/hydrocron-apigw.tf b/terraform/hydrocron-apigw.tf index a5826f8..9f3a8ca 100644 --- a/terraform/hydrocron-apigw.tf +++ b/terraform/hydrocron-apigw.tf @@ -94,13 +94,6 @@ output "url" { } -resource "aws_ssm_parameter" "hydrocron-api-url" { - name = "/service/${var.app_name}/api-url" - type = "String" - value = aws_api_gateway_deployment.hydrocron-api-gateway-deployment.invoke_url -} - - # API Keys resource "aws_api_gateway_api_key" "default-user-key" { name = "${local.aws_resource_prefix}-api-key-default" @@ -112,26 +105,6 @@ resource "aws_api_gateway_api_key" "confluence-user-key" { } -resource "aws_ssm_parameter" "default-user-parameter" { - name = "/service/${var.app_name}/api-key-default" - description = "Hydrocron default user API key" - type = "SecureString" - value = aws_api_gateway_api_key.default-user-key.value -} - - -resource "aws_ssm_parameter" "trusted-user-parameter" { - name = "/service/${var.app_name}/api-key-trusted" - description = "Hydrocron trusted user API key" - type = "SecureString" - value = jsonencode( - [ - "${aws_api_gateway_api_key.confluence-user-key.value}" - ] - ) -} - - # Usage Plans resource "aws_api_gateway_usage_plan" "default-user-usage-plan" { name = "${local.aws_resource_prefix}-usage-plan-default" diff --git a/terraform/hydrocron-iam.tf b/terraform/hydrocron-iam.tf index bbee64e..ae3ba3a 100644 --- a/terraform/hydrocron-iam.tf +++ b/terraform/hydrocron-iam.tf @@ -68,8 +68,11 @@ data "aws_iam_policy_document" "dynamo-read-policy-track-ingest" { resources = [ aws_dynamodb_table.hydrocron-reach-track-ingest-table.arn, + "${aws_dynamodb_table.hydrocron-reach-track-ingest-table.arn}/index/*", aws_dynamodb_table.hydrocron-node-track-ingest-table.arn, + "${aws_dynamodb_table.hydrocron-node-track-ingest-table.arn}/index/*", aws_dynamodb_table.hydrocron-priorlake-track-ingest-table.arn, + "${aws_dynamodb_table.hydrocron-priorlake-track-ingest-table.arn}/index/*", ] } @@ -182,6 +185,19 @@ data "aws_iam_policy_document" "ssm-read-policy" { } +data "aws_iam_policy_document" "ssm-put-policy-track-ingest" { + + statement { + effect = "Allow" + actions = [ + "ssm:PutParameter" + ] + resources = ["arn:aws:ssm:${data.aws_region.current.id}:${local.account_id}:parameter/service/${var.app_name}/track-ingest-runtime/*"] + } + +} + + data "aws_iam_policy_document" "s3-read-policy" { statement { effect = "Allow" @@ -468,4 +484,8 @@ resource "aws_iam_role" "hydrocron_lambda_track_ingest_role" { name = "HydrocronSSMRead" policy = data.aws_iam_policy_document.ssm-read-policy.json } + inline_policy { + name = "HydrocronSSMPutTrack" + policy = data.aws_iam_policy_document.ssm-put-policy-track-ingest.json + } } \ No newline at end of file diff --git a/terraform/hydrocron-lambda.tf b/terraform/hydrocron-lambda.tf index 9a61509..6916502 100644 --- a/terraform/hydrocron-lambda.tf +++ b/terraform/hydrocron-lambda.tf @@ -220,6 +220,7 @@ resource "aws_lambda_function" "hydrocron_lambda_track_ingest" { environment { variables = { GRANULE_LAMBDA_FUNCTION_NAME = aws_lambda_function.hydrocron_lambda_load_granule.function_name + HYDROCRON_ENV = local.environment } } } diff --git a/terraform/hydrocron-ssm.tf b/terraform/hydrocron-ssm.tf new file mode 100644 index 0000000..b65bbcd --- /dev/null +++ b/terraform/hydrocron-ssm.tf @@ -0,0 +1,49 @@ +resource "aws_ssm_parameter" "hydrocron-api-url" { + name = "/service/${var.app_name}/api-url" + type = "String" + value = aws_api_gateway_deployment.hydrocron-api-gateway-deployment.invoke_url +} + + +resource "aws_ssm_parameter" "default-user-parameter" { + name = "/service/${var.app_name}/api-key-default" + description = "Hydrocron default user API key" + type = "SecureString" + value = aws_api_gateway_api_key.default-user-key.value +} + + +resource "aws_ssm_parameter" "trusted-user-parameter" { + name = "/service/${var.app_name}/api-key-trusted" + description = "Hydrocron trusted user API key" + type = "SecureString" + value = jsonencode( + [ + "${aws_api_gateway_api_key.confluence-user-key.value}" + ] + ) +} + + +resource "aws_ssm_parameter" "hydrocron-reach-track-ingest-runtime" { + name = "/service/${var.app_name}/track-ingest-runtime/SWOT_L2_HR_RiverSP_reach_2.0" + description = "Hydrocron track ingest last time executed on reaches" + type = "String" + value = "no_data" +} + + +resource "aws_ssm_parameter" "hydrocron-node-track-ingest-runtime" { + name = "/service/${var.app_name}/track-ingest-runtime/SWOT_L2_HR_RiverSP_node_2.0" + description = "Hydrocron track ingest last time executed on nodes" + type = "String" + value = "no_data" +} + + +resource "aws_ssm_parameter" "hydrocron-priorlake-track-ingest-runtime" { + name = "/service/${var.app_name}/track-ingest-runtime/SWOT_L2_HR_LakeSP_prior_2.0" + description = "Hydrocron track ingest last time executed on lakes" + type = "String" + value = "no_data" +} diff --git a/tests/conftest.py b/tests/conftest.py index 26073af..6974e82 100644 --- a/tests/conftest.py +++ b/tests/conftest.py @@ -1,9 +1,11 @@ """ conftest file to set up local dynamodb connection """ +import datetime import os.path import boto3 +import moto import pytest from pytest_dynamodb import factories @@ -19,6 +21,12 @@ 'SWOT_L2_HR_RiverSP_Reach_548_011_NA_20230610T193337_20230610T193344_PIA1_01.zip' # noqa ) +TEST_SHAPEFILE_PATH_REACH_TRACK = os.path.join( + os.path.dirname(os.path.realpath(__file__)), + 'data', + "SWOT_L2_HR_RiverSP_Reach_020_149_NA_20240825T231711_20240825T231722_PIC0_01.zip" +) + TEST_SHAPEFILE_PATH_LAKE = os.path.join( os.path.dirname(os.path.realpath(__file__)), 'data', @@ -180,7 +188,39 @@ def hydrocron_dynamo_table(dynamo_db_resource): @pytest.fixture() -def hydrocron_api(hydrocron_dynamo_instance, dynamo_test_proc): +def mock_s3(): + + mock_aws = moto.mock_aws() + mock_aws.start() + + s3 = boto3.resource("s3") + s3.Bucket("podaac-swot-ops-cumulus-protected").create(CreateBucketConfiguration={"LocationConstraint": "us-west-2"}) + key = f"SWOT_L2_HR_RiverSP_2.0/{os.path.basename(TEST_SHAPEFILE_PATH_REACH_TRACK)}" + s3.Bucket("podaac-swot-ops-cumulus-protected").upload_file(Filename=TEST_SHAPEFILE_PATH_REACH_TRACK, Key=key) + + yield s3 + + mock_aws.stop() + + +@pytest.fixture() +def mock_ssm(): + + mock_aws = moto.mock_aws() + mock_aws.start() + + os.environ["AWS_DEFAULT_REGION"] = "us-west-2" + + ssm = boto3.client("ssm") + runtime = (datetime.datetime.now() - datetime.timedelta(hours=1)).strftime("%Y-%m-%dT%H:%M:%S") + ssm.put_parameter(Name="/service/hydrocron/track-ingest-runtime/SWOT_L2_HR_RiverSP_reach_2.0", Value=runtime, Type="String") + + yield mock_aws + + mock_aws.stop() + +@pytest.fixture() +def hydrocron_api(hydrocron_dynamo_instance, dynamo_test_proc, mock_ssm): os.environ['HYDROCRON_ENV'] = 'test' os.environ['HYDROCRON_dynamodb_endpoint_url'] = f"http://{dynamo_test_proc.host}:{dynamo_test_proc.port}" import hydrocron.utils.connection # noqa: E501 # pylint: disable=import-outside-toplevel @@ -189,10 +229,109 @@ def hydrocron_api(hydrocron_dynamo_instance, dynamo_test_proc): @pytest.fixture() def s3_connection(): - import hydrocron.utils.connection # noqa: E501 # pylint: disable=import-outside-toplevel hydrocron.utils.connection.retrieve_credentials = lambda: { "accessKeyId": "testkey", "secretAccessKey": "testsecret", "sessionToken": "testtoken" } + + +@pytest.fixture() +def track_ingest_dynamo_instance(request, dynamo_test_proc): + dynamo_db = boto3.resource( + "dynamodb", + endpoint_url=f"http://{dynamo_test_proc.host}:{dynamo_test_proc.port}", + aws_access_key_id='fakeMyKeyId', + aws_secret_access_key='fakeSecretAccessKey', + region_name='us-west-2', + ) + + # reach table + create_tables( + dynamo_db, + constants.SWOT_REACH_TABLE_NAME, + 'reach_id', + ['reach_id', 'collection_shortname', 'collection_version', 'crid', 'cycle_id', 'pass_id', 'continent_id', 'ingest_time'] + ) + reach_hydro_table = HydrocronTable(dynamo_db, constants.SWOT_REACH_TABLE_NAME) + reach_items = swot_shp.read_shapefile( + TEST_SHAPEFILE_PATH_REACH_TRACK, + obscure_data=False, + columns=constants.REACH_DATA_COLUMNS) + for item_attrs in reach_items: + reach_hydro_table.add_data(**item_attrs) + + # track table + dynamo_db.create_table( + TableName=constants.SWOT_REACH_TRACK_INGEST_TABLE_NAME, + AttributeDefinitions=[ + {'AttributeName': 'granuleUR', 'AttributeType': 'S'}, + {'AttributeName': 'revision_date', 'AttributeType': 'S'}, + {'AttributeName': 'status', 'AttributeType': 'S'} + ], + KeySchema=[ + { + 'AttributeName': 'granuleUR', + 'KeyType': 'HASH' + }, + { + 'AttributeName': 'revision_date', + 'KeyType': 'RANGE' + } + ], + BillingMode='PROVISIONED', + ProvisionedThroughput={ + 'ReadCapacityUnits': 10, + 'WriteCapacityUnits': 10 + }, + GlobalSecondaryIndexes=[ + { + "IndexName": "statusIndex", + "KeySchema": [ + { + "AttributeName": "status", + "KeyType": "HASH" + } + ], + "Projection": { + "ProjectionType": "ALL", + }, + "ProvisionedThroughput": { + "ReadCapacityUnits": 5, + "WriteCapacityUnits": 5 + } + } + ] + ) + track_reach_table = HydrocronTable(dynamo_db, constants.SWOT_REACH_TRACK_INGEST_TABLE_NAME) + track_items = swot_shp.read_shapefile( + TEST_SHAPEFILE_PATH_REACH_TRACK, + obscure_data=False, + columns=constants.REACH_DATA_COLUMNS) + track_ingest_record = [{ + "granuleUR": os.path.basename(TEST_SHAPEFILE_PATH_REACH_TRACK), + "revision_date": "2024-05-22T19:15:44.572Z", + "expected_feature_count": len(track_items), + "actual_feature_count": 0, + "checksum": "0823db619be0044e809a5f992e067d03", + "status": "to_ingest" + }] + track_reach_table.batch_fill_table(track_ingest_record) + + try: + request.cls.dynamo_db = dynamo_db + except AttributeError: + pass + + yield dynamo_db + for table in dynamo_db.tables.all(): # pylint:disable=no-member + table.delete() + +@pytest.fixture() +def track_ingest_fixture(track_ingest_dynamo_instance, dynamo_test_proc, mock_ssm, mock_s3): + os.environ['HYDROCRON_ENV'] = 'test' + 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