fix: drop the gee connection in the documentation (#65)

.github/workflows/unit.yaml

@@ -7,9 +7,6 @@ on:
       - main
   pull_request:
 
-env:
-  EARTHENGINE_TOKEN: ${{ secrets.EARTHENGINE_TOKEN }}
-
 jobs:
   lint:
     runs-on: ubuntu-latest

docs/conf.py

@@ -1,14 +1,9 @@
 """Configuration file for the Sphinx documentation builder."""
 
 import os
-import re
 
 # -- Path setup ----------------------------------------------------------------
 from datetime import datetime
-from pathlib import Path
-
-import ee
-import httplib2
 
 package_path = os.path.abspath("../..")
 os.environ["PYTHONPATH"] = ":".join((package_path, os.environ.get("PYTHONPATH", "")))
@@ -110,41 +105,6 @@
 # -- Options for autosectionlabel ----------------------------------------------
 autosectionlabel_prefix_document = True
 
-# -- Script to authenticate to Earthengine using a token -----------------------
-def gee_configure() -> None:
-    """Initialize earth engine according to the environment.
-
-    It will use the creddential file if the EARTHENGINE_TOKEN env variable exist.
-    Otherwise it use the simple Initialize command (asking the user to register if necessary).
-    """
-    # only do the initialization if the credential are missing
-    if not ee.data._credentials:
-
-        # if the credentials token is asved in the environment use it
-        if "EARTHENGINE_TOKEN" in os.environ:
-
-            # get the token from environment variable
-            ee_token = os.environ["EARTHENGINE_TOKEN"]
-
-            # as long as RDT quote the token, we need to remove the quotes before writing
-            # the string to the file
-            pattern = r"^'[^']*'$"
-            if re.match(pattern, ee_token) is not None:
-                ee_token = ee_token[1:-1]
-
-            # write the token to the appropriate folder
-            credential_folder_path = Path.home() / ".config" / "earthengine"
-            credential_folder_path.mkdir(parents=True, exist_ok=True)
-            credential_file_path = credential_folder_path / "credentials"
-            credential_file_path.write_text(ee_token)
-
-        # if the user is in local development the authentication should
-        # already be available
-        ee.Initialize(http_transport=httplib2.Http())
-
-
-gee_configure()
-
 # -- Options for intersphinx ---------------------------------------------------
 intersphinx_mapping = {
     "python": ("https://docs.python.org/3", None),

docs/usage.rst

@@ -188,7 +188,7 @@ The GADM dataset are describing the geometry of administrative areas in high-res
 
 Use the :code:`simplify` method from GeoPandas (more information `here <https://geopandas.org/en/stable/docs/reference/api/geopandas.GeoSeries.simplify.html>`__) to downscale the resolution of the geometries. The following example is needed if you want to work with France:
 
-.. jupyter-execute::
+.. code-block:: python
 
     import pygadm
     import geemap