Change examples to use new authentification methods

earthdaily · Jul 4, 2024 · cbdd6ac · cbdd6ac
1 parent e983d99
commit cbdd6ac
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Showing 7 changed files with 37 additions and 113 deletions.
diff --git a/examples/compare_scale_s2.py b/examples/compare_scale_s2.py
@@ -8,9 +8,9 @@
 # Import librairies
 # -------------------------------------------
 
-from earthdaily import earthdatastore, datasets
 import geopandas as gpd
 from matplotlib import pyplot as plt
+from earthdaily import EarthDataStore, datasets
 
 ##############################################################################
 # Load plot
@@ -20,10 +20,10 @@
 pivot = datasets.load_pivot()
 
 ##############################################################################
-# Init earthdatastore with env params
-# -------------------------------------------
+# Init earthdatastore with environment variables or default credentials
+# ----------------------------------------------------------------------------
 
-eds = earthdatastore.Auth()
+eds = EarthDataStore()
 
 ##############################################################################
 # Search for collection items
@@ -39,7 +39,6 @@ def get_cube(rescale=True):
         rescale=rescale)
     return pivot_cube
 
-
 ##############################################################################
 # Get cube with rescale (*0.0001)
 # ----------------------------------------------------
@@ -65,7 +64,6 @@ def get_cube(rescale=True):
 # Plots cube with SCL with at least 50% of clear data
 # ----------------------------------------------------
 
-
 pivot_cube.ed.plot_rgb(col_wrap=3)
 
 plt.show()
diff --git a/examples/earthdaily_simulated_dataset.py b/examples/earthdaily_simulated_dataset.py
@@ -8,25 +8,26 @@
 # Import librairies
 # -------------------------------------------
 
-import earthdaily
+
 import datetime
+import earthdaily
 from dask.diagnostics import ProgressBar
 from matplotlib import pyplot as plt
+from earthdaily import datasets, EarthDataStore
 
 ProgressBar().register()  # to have chunks progress bar
 
-
 ##############################################################################
 # Loading pivot
 # -------------------------------------------
 
-pivot = earthdaily.datasets.load_pivot_corumba()
+pivot = datasets.load_pivot_corumba()
 
 ##############################################################################
-# Auth to earthdatastore
-# -------------------------------------------
+# Init earthdatastore with environment variables or default credentials
+# ----------------------------------------------------------------------------
 
-eds = earthdaily.earthdatastore.Auth()
+eds = EarthDataStore()
 
 ##############################################################################
 # Define timerange

diff --git a/examples/field_evolution.py b/examples/field_evolution.py
@@ -8,9 +8,10 @@
 # Import librairies
 # -------------------------------------------
 
-from earthdaily import earthdatastore, datasets
+
 import geopandas as gpd
 from matplotlib import pyplot as plt
+from earthdaily import datasets, EarthDataStore
 
 ##############################################################################
 # Load plot
@@ -20,10 +21,10 @@
 pivot = datasets.load_pivot()
 
 ##############################################################################
-# Init earthdatastore with env params
-# -------------------------------------------
+# Init earthdatastore with environment variables or default credentials
+# ----------------------------------------------------------------------------
 
-eds = earthdatastore.Auth()
+eds = EarthDataStore()
 
 ##############################################################################
 # Search for collection items in august 2022 (1st to 9th)

diff --git a/examples/first_steps_create_datacube.py b/examples/first_steps_create_datacube.py
@@ -13,19 +13,22 @@
 # Import librairies
 # -------------------------------------------
 
-from earthdaily import earthdatastore, datasets
+
 import geopandas as gpd
+import earthdaily
 from matplotlib import pyplot as plt
+from earthdaily import datasets, EarthDataStore
 
 ##########################
 # Loading geometry
 
 geometry = datasets.load_pivot()
 
-##########################
-# Init earthdaily and check available assets
+##############################################################################
+# Init earthdatastore with environment variables or default credentials
+# ----------------------------------------------------------------------------
 
-eds = earthdatastore.Auth()  # using config from ENV
+eds = EarthDataStore()
 
 ###########################################################
 # Create datacube (in one step)
@@ -63,7 +66,7 @@
 # Creata datacube (independent from being log into earthdatastore)
 # We request the "scl" assets which is the native cloudmask
 
-s2_datacube = earthdatastore.datacube(
+s2_datacube = earthdaily.earthdatastore.datacube(
     items, assets=["blue", "green", "red", "nir", "scl"], intersects=geometry
 )
 
@@ -72,11 +75,11 @@
 
 # intersects or bbox are asked in order to compute accurate mask statistics
 
-s2_datacube = earthdatastore.mask.Mask(s2_datacube, intersects=geometry).scl(
+s2_datacube = earthdaily.earthdatastore.mask.Mask(s2_datacube, intersects=geometry).scl(
     mask_statistics=True
 )
 
-s2_datacube = earthdatastore.mask.filter_clear_cover(
+s2_datacube = earthdaily.earthdatastore.mask.filter_clear_cover(
     s2_datacube, 50
 )  # at least 50% of clear pixels
 #

diff --git a/examples/multisensors_cube.py b/examples/multisensors_cube.py
@@ -11,14 +11,18 @@
 
 import geopandas as gpd
 from matplotlib import pyplot as plt
-
-from earthdaily import earthdatastore, datasets
+from earthdaily import datasets, EarthDataStore
 
 ##############################################################################
 # Set parameters
 # -------------------------------------------
 
-eds = earthdatastore.Auth()
+##############################################################################
+# Init earthdatastore with environment variables or default credentials
+# ----------------------------------------------------------------------------
+
+eds = EarthDataStore()
+
 collections = ["sentinel-2-l2a", "landsat-c2l2-sr"]
 datetime = ["2022-07-01", "2022-09-01"]
 intersects = datasets.load_pivot_corumba()
@@ -55,7 +59,6 @@
 datacube.ed.plot_rgb(col_wrap=3)
 plt.show()
 
-
 ##############################################################################
 # See the NDVI evolution
 # -------------------------------------------

diff --git a/examples/summary_stack.py b/examples/summary_stack.py
@@ -7,22 +7,17 @@
 # Import librairies
 # -------------------------------------------
 
-from earthdaily import earthdatastore
 from rich.table import Table
 from rich.console import Console
-
-from dotenv import load_dotenv
-
-load_dotenv()  # take environment variables from .env.
+from earthdaily import EarthDataStore
 
 console = Console()
 
-
 ##############################################################################
-# Init earthdaily with earthdatastore
-# -------------------------------------------------
+# Init earthdatastore with environment variables or default credentials
+# ----------------------------------------------------------------------------
 
-eds = earthdatastore.Auth()
+eds = EarthDataStore()
 
 ##############################################################################
 # Explore available collections
@@ -33,7 +28,6 @@
     table.add_row(t)
 console.print(table)
 
-
 ##############################################################################
 # Explore a specific collection
 # -------------------------------------------

diff --git a/examples/venus_cube_mask.py b/examples/venus_cube_mask.py