From 3bd5ce2d11fcf30df9882e5104c78bdbff551442 Mon Sep 17 00:00:00 2001 From: Dougie Squire Date: Fri, 23 Jun 2023 10:33:02 +1000 Subject: [PATCH] tidy usage flowchart --- docs/_static/catalog_flow.svg | 291 ++++++++-------- docs/_static/catalog_flow_2prod.svg | 504 ---------------------------- 2 files changed, 140 insertions(+), 655 deletions(-) delete mode 100644 docs/_static/catalog_flow_2prod.svg diff --git a/docs/_static/catalog_flow.svg b/docs/_static/catalog_flow.svg index dde439c..209547f 100644 --- a/docs/_static/catalog_flow.svg +++ b/docs/_static/catalog_flow.svg @@ -2,9 +2,9 @@ New catalog object with entry(/ies) of intereste.g. a particular ACCESS-OM2 COSIMA experiment Filter catalog entries using search Open Intake-ESM datastore(s) for each entry using to_sourceOpen Intake-ESM datastore(s) for each entry using to_source (if one) or(if one) or to_source_dict (if many) to_source_dict (if many) New datastore with dataset(s) of intereste.g. a dataset with allocean_month dataNew datastore withdataset(s) of intereste.g. a dataset with allocean_month datawith many datasetswith many datasetsFilter datasets using search Filter datasets using search DatasetDatasetOpen dataset(s) usingOpen dataset(s) using to_dask (ifto_dask (if one) orone) or to_dataset_dict (if many) Open dataset(s) usingto_dask (if one) orOpen dataset(s) using to_dask (ifone) or to_dataset_dict (if many) DatasetDataset - - -ACCESS-NRI catalog with many entriesACCESS-NRI catalog with two entriese.g. two ACCESS-OM2 COSIMA experiments Filter products using search Open Intake-ESM datastores foreach entry using to_source_dict Intake-ESM datastore comprising two datasetse.g. ocean_month andocean_daily datasetsIntake-ESM datastore comprising two datasetse.g. ocean_month andocean_daily datasetsIntake-ESM datastore comprising manydatasetsIntake-ESM datastorecomprising manydatasetsxarrayDatasetxarrayDatasetxarrayDatasetxarrayDatasetFilter datasets using search Filter datasets using search Open xarray datasets using to_dataset_dict Open xarray datasets using to_dataset_dict