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use same s3 bucket with deployment env path #1153

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Original file line number Diff line number Diff line change
Expand Up @@ -2,8 +2,8 @@ projectName: 'elife-data-pipeline'
dataset: '{ENV}'
table: 'crossref_event'
stateFile:
bucket: '{ENV}-elife-data-pipeline'
objectName: 'airflow-config/crossref-event/{ENV}-date-state.json'
bucket: 'ci-elife-data-pipeline'
objectName: 'by-env/{ENV}/airflow-config/crossref-event/{ENV}-date-state.json'
# schema for the resulting transformed crossref event data which is loaded to bigquery
# note that this is not just used to create the bigquery table alone, but it is also used to filter the some
# fields out of the input crossref event data
Expand All @@ -12,8 +12,8 @@ stateFile:
# the standardization assumed is that any non-conforming character is replaced with underscore
schemaFile:
url:
bucket: '{ENV}-elife-data-pipeline'
objectName: 'airflow-config/crossref-event/data-schema/crossref-event-schema.json'
bucket: 'ci-elife-data-pipeline'
objectName: 'by-env/{ENV}/airflow-config/crossref-event/data-schema/crossref-event-schema.json'
# the list doi prefixes of the diferent journal that needs to be extracted and loaded int
# the bigquery data warehouse
publisherIdPrefixes:
Expand Down