From 2da0dce25e041ed450773d376582fcdd9e6618e7 Mon Sep 17 00:00:00 2001
From: Raphael Hagen <norlandrhagen@gmail.com>
Date: Mon, 1 Jul 2024 16:39:35 -0600
Subject: [PATCH] pruned recipe working locally

---
 feedstock/eNATL60.py | 61 ++++++++++++++++++++------------------------
 1 file changed, 27 insertions(+), 34 deletions(-)

diff --git a/feedstock/eNATL60.py b/feedstock/eNATL60.py
index 124d093..19f7434 100644
--- a/feedstock/eNATL60.py
+++ b/feedstock/eNATL60.py
@@ -1,65 +1,58 @@
-"""
-...
-"""
-import logging
 import xarray as xr
 import apache_beam as beam
 from pangeo_forge_recipes.patterns import pattern_from_file_sequence
 from pangeo_forge_recipes.transforms import (
-    Indexed,
+    ConsolidateMetadata,
+    ConsolidateDimensionCoordinates,
     OpenURLWithFSSpec,
     OpenWithXarray,
     StoreToZarr,
-    T,
 )
 
-logger = logging.getLogger(__name__)
 
 # Common Parameters
 days = range(1, 32)
-dataset_url = 'https://zenodo.org/records/10513552/files'
+dataset_url = "https://zenodo.org/records/10513552/files"
 
 ## Monthly version
-input_urls = [f'{dataset_url}/eNATL60-BLBT02_y2009m07d{d:02d}.1d_TSWm_60m.nc' for d in days]
-pattern = pattern_from_file_sequence(input_urls, concat_dim='time')
+input_urls = [
+    f"{dataset_url}/eNATL60-BLBT02_y2009m07d{d:02d}.1d_TSWm_60m.nc" for d in days
+]
+pattern = pattern_from_file_sequence(input_urls, concat_dim="time")
 
 
-# does this succeed with all coords stripped?
 class Preprocess(beam.PTransform):
+    """Custom transform to fix invalid time dimension"""
+
     @staticmethod
-    def _set_coords(item: Indexed[T]) -> Indexed[T]:
-        index, ds = item
-        logger.info(f"Index is {index=}")
-        logger.info(f"Dataset before processing {ds=}")
-        logger.info(f"Time counter data : {ds.time_counter.data}")
-        # could try using cftime to force
-        # create t_new as variable 
-        t_new = xr.DataArray(ds.time_counter.data, dims=['time'])
-        logger.info(f"New Time Dimension {t_new=}")
+    def _set_coords(ds: xr.Dataset) -> xr.Dataset:
+        t_new = xr.DataArray(ds.time_counter.data, dims=["time"])
         ds = ds.assign_coords(time=t_new)
-        ds = ds.drop(['time_counter'])
-        ds = ds.set_coords(['deptht', 'depthw', 'nav_lon', 'nav_lat', 'tmask'])
-
-        return index, ds
-
-        # ds = ds.set_coords(['deptht', 'depthw', 'nav_lon', 'nav_lat', 'time_counter', 'tmask'])
-        # ds = ds.assign_coords(
-        #     tmask=ds.coords['tmask'].squeeze(), deptht=ds.coords['deptht'].squeeze()
-        # )
+        ds = ds.drop(["time_counter"])
+        ds = ds.set_coords(["deptht", "depthw", "nav_lon", "nav_lat", "tmask"])
 
+        return ds
 
     def expand(self, pcoll: beam.PCollection) -> beam.PCollection:
-        return pcoll | 'Set coordinates' >> beam.Map(self._set_coords)
+        return pcoll | "Fixes time coord" >> beam.MapTuple(
+            lambda k, v: (k, self._set_coords(v))
+        )
 
 
 eNATL60_BLBT02 = (
     beam.Create(pattern.items())
     | OpenURLWithFSSpec()
-    | OpenWithXarray(xarray_open_kwargs = {'use_cftime':True})
+    | OpenWithXarray(
+        xarray_open_kwargs={"use_cftime": True, "engine": "netcdf4"},
+        load=True,
+        copy_to_local=True,
+    )
     | Preprocess()
     | StoreToZarr(
-        store_name='eNATL60_BLBT02.zarr',
+        store_name="eNATL60_BLBT02.zarr",
         combine_dims=pattern.combine_dim_keys,
-        target_chunks={'x':2000, 'y':2000, 'time':2},
+        target_chunks={"x": 2000, "y": 2000, "time": 2},
     )
-)
\ No newline at end of file
+    | ConsolidateDimensionCoordinates()
+    | ConsolidateMetadata()
+)