From 4c7e46994dd80d5e3aac220f02a2f09b7f2565f3 Mon Sep 17 00:00:00 2001 From: dwest77a Date: Fri, 24 Jan 2025 13:32:57 +0000 Subject: [PATCH 1/3] Fixed issue with meta handling in clud, added hoom for external use of cloud products --- ceda_datapoint/core/cloud.py | 2 ++ ceda_datapoint/core/item.py | 39 ++++++++++++++++++++++++++++-------- 2 files changed, 33 insertions(+), 8 deletions(-) diff --git a/ceda_datapoint/core/cloud.py b/ceda_datapoint/core/cloud.py index f62f040..9e524bd 100644 --- a/ceda_datapoint/core/cloud.py +++ b/ceda_datapoint/core/cloud.py @@ -116,6 +116,8 @@ def __init__( self._cloud_format = cf self._mapper = mapper or DataPointMapper(id) + + meta = meta or {} self._asset_stac = asset_stac self._meta = meta | { diff --git a/ceda_datapoint/core/item.py b/ceda_datapoint/core/item.py index c3d2b61..d3b75ff 100644 --- a/ceda_datapoint/core/item.py +++ b/ceda_datapoint/core/item.py @@ -277,14 +277,8 @@ def _identify_cloud_assets(self) -> None: if len(assets) == 0: return cloud_list - rf_titles = list(method_format.keys()) - for id, asset in self._assets.items(): - cf = self._mapper.get('cloud_format', asset) - - if cf is None and id in rf_titles: - cf = method_format[id] - + cf = identify_cloud_type(id, asset, asset_mapper=self._mapper) if cf is not None: cloud_list.append((id, cf)) @@ -341,4 +335,33 @@ def _load_cloud_assets( return DataPointCluster(asset_list, meta=self._meta, parent_id=self._id) else: return asset_list[0] - \ No newline at end of file + +def identify_cloud_type( + id: str, + asset, + cflabel: str = 'cloud_format', + asset_mapper: DataPointMapper | None = None, + ) -> str: + """ + Identify the type of cloud format + to which this asset conforms. + """ + + # Try using the mapper tool + if asset_mapper is not None: + cf = asset_mapper.get(cflabel, asset) + + if cf is not None: + return cf + + rf_titles = list(method_format.keys()) + + # Try getting the correct property + if hasattr(asset, cflabel): + return getattr(asset, cflabel) + + # Otherwise identify from known methods + if id in rf_titles: + return method_format[id] + + return None \ No newline at end of file From 549c8f94ed8af34a00632dd9eb21e273dec66e9d Mon Sep 17 00:00:00 2001 From: dwest77a Date: Fri, 24 Jan 2025 13:54:35 +0000 Subject: [PATCH 2/3] Fixed poetry version --- poetry.lock | 899 ++++++++++++++++++++++++++++++++++++++++++++++++- pyproject.toml | 7 +- 2 files changed, 902 insertions(+), 4 deletions(-) diff --git a/poetry.lock b/poetry.lock index 8e824a1..4843f56 100644 --- a/poetry.lock +++ b/poetry.lock @@ -214,6 +214,52 @@ files = [ [package.extras] dev = ["freezegun (>=1.0,<2.0)", "pytest (>=6.0)", "pytest-cov"] +[[package]] +name = "build" +version = "1.2.2.post1" +description = "A simple, correct Python build frontend" +optional = false +python-versions = ">=3.8" +files = [ + {file = "build-1.2.2.post1-py3-none-any.whl", hash = "sha256:1d61c0887fa860c01971625baae8bdd338e517b836a2f70dd1f7aa3a6b2fc5b5"}, + {file = "build-1.2.2.post1.tar.gz", 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"dc2dbecf827045c52ba985a64e956d64f9b034c1fab8a25dc5924e62de342357" diff --git a/pyproject.toml b/pyproject.toml index ba97b22..cf9aa07 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,20 +1,21 @@ [tool.poetry] name = "ceda-datapoint" -version = "0.4.0" +version = "0.4.1" description = "DataPoint provides python-based search/access tools for using data primarily from the CEDA Archive." authors = ["Daniel Westwood "] -license = "{file = \"LICENSE\"}" +license = "BSD 3" readme = "README.md" [tool.poetry.dependencies] python = ">=3.9,<4.0" +poetry = "^1.8.5" fsspec = "2024.9.0" xarray = "2024.6.0" pystac-client = "0.8.3" kerchunk = "0.2.6" cfapyx = "2024.11.27" requests = "^2.32.3" -sphinx = "7.1.2" +sphinx = "^7.1.2" sphinx-rtd-theme = "2.0.0" xdoctest = "1.2.0" matplotlib = "3.9.2" From abb1f7b1ff381abdffcfe8d52dc3f39b2f7c8dbd Mon Sep 17 00:00:00 2001 From: dwest77a Date: Fri, 24 Jan 2025 13:55:01 +0000 Subject: [PATCH 3/3] Added cloud products section in documentation --- docs/source/cloud_formats.rst | 54 +++++++++++++++++++++++++++++++++-- docs/source/index.rst | 4 ++- 2 files changed, 55 insertions(+), 3 deletions(-) diff --git a/docs/source/cloud_formats.rst b/docs/source/cloud_formats.rst index 3c08652..8cf5435 100644 --- a/docs/source/cloud_formats.rst +++ b/docs/source/cloud_formats.rst @@ -1,6 +1,56 @@ -============= +================================= +DataPoint's Cloud Product Handler +================================= + +The ``DataPointCloudProduct`` class +----------------------------------- + +For any users wanting to take advantage of the functionality within datapoint to configure and open datasets via STAC records, this operator is the object to use. +The ``DataPointCloudProduct`` operator can be instantiated for each conformant asset from one or more items. For a single item: + +.. code:: + + from ceda_datapoint.core.cloud import DataPointCloudProduct + from ceda_datapoint.core.item import identify_cloud_type + + products = [] + for name, asset in item.assets.items(): + cf = identify_cloud_type(id, asset) + if cf is None: + continue + products.append( + DataPointCloudProduct( + asset, # The asset obtained from pystac.Item + id=name, # ID of the asset (can be combined with the item ID) + cf=cf, # Cloud format identified above. + meta={'bbox':bounding_box}, # See below. + properties=properties # Properties of the parent item. + ) + ) + +In this example, ``item`` is a pystac object that can be obtained from the ``pystac-client`` or a similar pystac implementation. +The cloud format/type (see below) can be identifier using the function ``identify_cloud_type`` also imported from DataPoint. +This relies on either the ``id`` of the asset conforming to the labels that DataPoint expects (i.e ``reference_file``) or the asset containing +a property called ``cloud_format``. If the asset contains a the cloud format but under a different name, the ``cflabel`` can be adjusted accordingly. +If the cloud label is nested within the asset, a mapper can be supplied (see the section on Mappers). + +We can then initialise a ``DataPointCloudProduct`` for this asset. There are additional kwargs that can be supplied but the important ones are highlighted above. +For the ``meta`` argument, a dictionary must be given which (at minimum) includes the bounding box (which is not typically part of the Item's properties). +Other attributes of the item that apply to the asset can be passed using this mechanism. STAC properties (like STAC version) can be passed using the +``stac_attrs`` kwarg if necessary. + +``DataPointCluster`` objects +---------------------------- +In the above example, a list of cloud products is generated for convenience. Instead, we could combine these into a ``cluster`` object which comes with some benefits +over just using a list: + - String representation with metadata + - Able to obtain a listing of metadata in each cloud product. + - Help/Info methods available. + - Able to open a dataset directly from the cluster. + - Indexable, so can extract a product by ID or position. + Cloud Formats -============= +------------- From recent user surveys relating to the Climate Model Intercomparison Project (CMIP6) datasets available via the CEDA Archive, some common issues and barriers to research relate to how to find and access the data itself. diff --git a/docs/source/index.rst b/docs/source/index.rst index 158a1be..4391b87 100644 --- a/docs/source/index.rst +++ b/docs/source/index.rst @@ -15,6 +15,8 @@ access our collection, but DataPoint is unique in that it is automatically confi **v0.4.0**: Zarr and COG products now supported via DataPoint, as well as Mappings for use with external APIs. +**v0.4.1**: Added increased support for using `DataPointCloudProduct` objects externally. + Installation ------------ The datapoint package can be installed via pip, and requires Python 3.8 or later. @@ -33,11 +35,11 @@ The long term goal is for datapoint to be included in the set of standard packag Inspiration How to Use DataPoint + DataPoint's Cloud Product Handler DataPoint Objects Mappings for Non-CEDA STAC Catalogs When to Use DataPoint STAC Catalogs Explained - Cloud Formats Explained .. toctree:: :maxdepth: 1