Ingest subset of roughly 100-200 WV03_Pan_L1B granules into UAT to allow verification of metadata and metrics.
To find a date range that has roughly 100-200 granules, make use of AWS Athena by doing the following:
In the MCP IMPACT-CSDAP AWS account's console, open the Athena query editor
Select the AwsDataCatalog Data Source and the default Database
Run the following query to update the partitions: MSCK REPAIR TABLE maxar_transfer
Run queries similar to the following (tweaking dt and the path pattern -- see notes below) until a count near the 100-200 range is obtained:
SELECT count(*) FROM maxar_transfer WHERE dt='2023-02-28-01-00' AND key like 'css/nga/WV03/1B/2014/24%P1BS%BROWSE.jpg'
This approach uses the count of *BROWSE.jpg files as a proxy for the number of granules in the date range.
NOTE: the value of dt in the query above must be set to the most recent date of the S3 inventory (likely the current date, but the day prior to the current date should always work since the most recent 3 days are retained).
NOTE: days like 2014/240 and 2014/249+1 (because the end date is exclusive in the rule definition) must be converted to yyyy/MM/DD for determining ISO 8601 datetime values for the start and end dates for the sample rule. This site provides conversion: https://dqydj.com/day-of-the-year-calculator/
2014/240 is 2014/08/28T00:00:00Z
2014/250 is 2014/09/07T00:00:00Z
Acceptance criteria:
[x] define a rule named WV03_Pan_L1B___1_UAT.json that spans a period of time that includes roughly 100-200 granules (using instructions above for finding appropriate values for startDate and endDate)
[x] load the rule into UAT
DOTENV=.env.uat make bash
cumulus rules add --data app/stacks/cumulus/resources/rules/WV03_Pan_L1B/v1/WV03_Pan_L1B___1_UAT.json
[x] trigger the rule to ingest the granules
DOTENV=.env.uat make bash
cumulus rules enable --name WV03_Pan_L1B___1_UAT
cumulus rules run --name WV03_Pan_L1B___1_UAT
search Kibana for the recent files&_a=(columns:!(),filters:!(),index:'75212c20-de6a-11eb-a6ea-31de6c2593f3',interval:auto,query:(language:kuery,query:''),sort:!(!('@timestamp',desc))))
login with saml/launchpad
confirm that the search results show the ingested files (you might need to adjust the timespan in the upper right corner of the page)
Ingest subset of roughly 100-200 WV03_Pan_L1B granules into UAT to allow verification of metadata and metrics.
To find a date range that has roughly 100-200 granules, make use of AWS Athena by doing the following:
MSCK REPAIR TABLE maxar_transferdtand the path pattern -- see notes below) until a count near the 100-200 range is obtained:This approach uses the count of
*BROWSE.jpgfiles as a proxy for the number of granules in the date range.NOTE: the value of
dtin the query above must be set to the most recent date of the S3 inventory (likely the current date, but the day prior to the current date should always work since the most recent 3 days are retained).NOTE: days like 2014/240 and 2014/249+1 (because the end date is exclusive in the rule definition) must be converted to
yyyy/MM/DDfor determining ISO 8601 datetime values for the start and end dates for the sample rule. This site provides conversion: https://dqydj.com/day-of-the-year-calculator/2014/08/28T00:00:00Z2014/09/07T00:00:00ZAcceptance criteria:
WV03_Pan_L1B___1_UAT.jsonthat spans a period of time that includes roughly 100-200 granules (using instructions above for finding appropriate values forstartDateandendDate)qshould be collection short name)