Using python-CMR instead of builtin

I created this module before python-CMR. Let's move to that one instead
of my builtin. The API keeps changing, so hopefully they will keep that
library up to date.

OceanColor/cmr.py

@@ -7,6 +7,7 @@
 from numpy import datetime64, datetime_as_string
 import re
 import requests
+from cmr import GranuleQuery
 
 module_logger = logging.getLogger(__name__)
 
@@ -92,11 +93,12 @@ def granules_search(
         "temporal": temporal,
         "circle": circle,
     }
-    for result in api_walk(url, **params):
-        # for r in result['umm']['RelatedUrls']:
-        for r in result["umm"]["DataGranule"]["Identifiers"]:
-            if r["IdentifierType"] == "ProducerGranuleId":
-                yield r["Identifier"]
+    api = GranuleQuery()
+    api.params = params
+    granules = api.downloadable().get()
+    print([g["producer_granule_id"] for g in granules])
+    for granule in api.get():
+        yield granule['producer_granule_id']
 
 
 def search_criteria(**kwargs):
@@ -128,7 +130,7 @@ def search_criteria(**kwargs):
             criteria = {
                 "short_name": "VIIRSN_L3m_CHL",
                 "provider": "OB_DAAC",
-                "search": "DAY_SNPP_CHL_chlor_a_4km",
+                "search": "DAY.SNPP.CHL.chlor_a.4km",
             }
     elif kwargs["sensor"] == "aqua":
         if kwargs["dtype"] == "L2":
@@ -137,7 +139,7 @@ def search_criteria(**kwargs):
             criteria = {
                 "short_name": "MODISA_L3m_CHL",
                 "provider": "OB_DAAC",
-                "search": "DAY_CHL_chlor_a_4km",
+                "search": "DAY.CHL.chlor_a.4km",
             }
     elif kwargs["sensor"] == "terra":
         if kwargs["dtype"] == "L2":

pyproject.toml

@@ -36,6 +36,7 @@ dependencies = [
   "netCDF4 >= 1.5.6",
   "pandas >= 1.3",
   "pyproj >= 3.0",
+  "python-cmr ~= 0.9.0",
   "requests >= 2.27",
   "xarray >= 0.19",
   "fsspec >= 2022.1",