1 adapt gee authenticator node to support google credentials as input and provide new gee port object #3

koettert · 2025-08-01T15:20:18Z

@UrbanGISer please check out the new port object and how it is used in the GEE Image node. This should work the same way in the other nodes as well. If you are happy with the changes feel free to merge it to main and adapt the other nodes.

The functions in the utility file are copied from our Geospatial extension and might be useful in the nodes.

…mple

Copilot

Pull Request Overview

This PR adapts the Google Earth Engine (GEE) authenticator node to support Google credentials as input and introduces a new Google Earth Engine port object for connection sharing between nodes.

Key changes:

Introduces a new connection port type for Google Earth Engine that enables credential sharing across nodes
Refactors the GEE Authenticate node to accept Google credentials and output a connection port object
Updates two nodes (GEE Image Search and GEE Image) to use the new connection port instead of individual authentication

Reviewed Changes

Copilot reviewed 7 out of 8 changed files in this pull request and generated 6 comments.

Show a summary per file

File	Description
knime_extension/src/util/knime_utils.py	Adds comprehensive utility functions for column type checking and validation
knime_extension/src/util/common.py	Introduces GoogleEarthEngineConnectionObject and related port type infrastructure
knime_extension/src/nodes/io.py	Updates GEE Image Search and GEE Image nodes to use the new connection port
knime_extension/src/nodes/authorization.py	Refactors GEE Authenticate node to Google Earth Engine Connector with credential input
knime_extension/pixi.toml	Adds new pixi configuration file for environment management
knime_extension/google_earth_engine_env.yml	Updates environment configuration with newer dependency versions
config.yml	Updates project identifier in configuration

Comments suppressed due to low confidence (2)

knime_extension/pixi.toml:12

The version constraint '0.35.3.' may not be valid for geemap. Based on my knowledge, geemap versions follow semantic versioning like '0.35.3', and the wildcard pattern should be '0.35.' for patch-level flexibility.

geemap = "0.35.3.*"

knime_extension/pixi.toml:13

The version constraint '1.1.1.' may not be valid for geopandas. Based on my knowledge, geopandas versions follow semantic versioning, and the wildcard pattern should be '1.1.' for patch-level flexibility.

geopandas = "1.1.1.*"

Copilot · 2025-08-01T15:21:39Z

knime_extension/src/util/knime_utils.py

The comment incorrectly describes 'long' as including int32. The function checks for int32 and int64, but typically 'long' refers to 64-bit integers. Consider clarifying this as 'integer types' or correcting the description.

Suggested change

Checks if column is long (e.g. int32 or int64).

@return: True if Column is long

Checks if column is an integer type (int32 or int64).

@return: True if Column is int32 or int64

Copilot · 2025-08-01T15:21:39Z

knime_extension/src/util/knime_utils.py

+    GeoPointCell, GeoLineCell, GeoPolygonCell, GeoMultiPointCell, GeoMultiLineCell, GeoMultiPolygonCell, ...
+    @return: True if Column Type is GeoValue compatible


The documentation mentions GeoValue interface and geospatial types, but the function name is 'is_date' and it checks for LocalDateValueFactory. This appears to be incorrect documentation copied from another function.

Suggested change

Checks if column is compatible to the GeoValue interface and thus returns true for all geospatial types such as:

GeoPointCell, GeoLineCell, GeoPolygonCell, GeoMultiPointCell, GeoMultiLineCell, GeoMultiPolygonCell, ...

@return: True if Column Type is GeoValue compatible

Checks if column is of date type (LocalDate).

@return: True if Column Type is LocalDate

Copilot · 2025-08-01T15:21:40Z

knime_extension/src/util/knime_utils.py

+    GeoPointCell, GeoLineCell, GeoPolygonCell, GeoMultiPointCell, GeoMultiLineCell, GeoMultiPolygonCell, ...
+    @return: True if Column Type is a GeoLogical Point


The documentation mentions 'GeoLogical Point' but this is a generic type checking function that can check for any type. The documentation should be updated to reflect the generic nature of this function.

Suggested change

Checks if column contains the given type whereas type can be :

GeoPointCell, GeoLineCell, GeoPolygonCell, GeoMultiPointCell, GeoMultiLineCell, GeoMultiPolygonCell, ...

@return: True if Column Type is a GeoLogical Point

Checks if the column's logical type contains the given type string.

The type string can represent any logical type, such as geospatial types (GeoPointCell, GeoLineCell, etc.) or other types.

@return: True if the column's logical type matches the provided type string.

Copilot · 2025-08-01T15:21:40Z

knime_extension/src/util/knime_utils.py

+    """
+    Checks if column is int or string
+    @return: True if Column is numeric or string


The function documentation says 'int or string' but the return type documentation says 'numeric or string', which is inconsistent. Should be 'int or string' to match the function name and implementation.

Suggested change

@return: True if Column is numeric or string

@return: True if Column is int or string

Copilot · 2025-08-01T15:21:40Z

knime_extension/src/util/common.py

+import knime.extension as knext
+import logging
+from knime.extension.nodes import ConnectionPortObject


This import uses 'knime.extension' while other files use 'knime_extension'. This inconsistency could cause import errors if the module name is 'knime_extension'.

Suggested change

import knime.extension as knext

import logging

from knime.extension.nodes import ConnectionPortObject

import knime_extension as knext

import logging

from knime_extension.nodes import ConnectionPortObject

Copilot · 2025-08-01T15:21:41Z

knime_extension/src/nodes/authorization.py

+        credentials = Credentials(
+            token=str(credential_spec.auth_parameters),


Converting auth_parameters to string with str() may not be appropriate for OAuth tokens. OAuth tokens are typically already strings and this conversion could corrupt the token if auth_parameters is not a string type.

Suggested change

credentials = Credentials(

token=str(credential_spec.auth_parameters),

if not isinstance(credential_spec.auth_parameters, str):

raise TypeError("auth_parameters must be a string (OAuth token), got %r" % type(credential_spec.auth_parameters))

credentials = Credentials(

token=credential_spec.auth_parameters,

rename my_ext to gee_ext ( yml file as well) authorization : add credentials to the output port common： add credentials utils: add gee import and export functions dataio: 7 standardized nodes from components

add rule to local GeoTable Reducer

Update Node descriptions for DataIO and Connector

update it to use the same Python Process Create GEE port object

koettert added 6 commits July 23, 2025 17:14

Add pixi build files

b247857

Fix name in config.yml

864d0a3

Remove no longer neede yml file

8851dab

Implement first version of port object and authenticator node

af7e918

Add more helpful functions to knime_utils

15dc6b3

Introduce new GEE Port Object and use it in the GEE Image node as exa…

842dc86

…mple

koettert requested review from UrbanGISer and Copilot August 1, 2025 15:20

koettert assigned UrbanGISer Aug 1, 2025

koettert added the enhancement New feature or request label Aug 1, 2025

koettert linked an issue Aug 1, 2025 that may be closed by this pull request

Adapt GEE Authenticator node to support Google Credentials as input and provide new GEE port object #1

Open

koettert mentioned this pull request Aug 1, 2025

Adapt GEE Image node to support new GEE port object as input #2

Closed

Copilot AI reviewed Aug 1, 2025

View reviewed changes

UrbanGISer added 4 commits August 26, 2025 21:36

GEE connector and standardized nodes

2e3e051

rename my_ext to gee_ext ( yml file as well) authorization : add credentials to the output port common： add credentials utils: add gee import and export functions dataio: 7 standardized nodes from components

add rule to local GeoTable Reducer

f5f0785

add rule to local GeoTable Reducer

Update Node descriptions for DataIO and Connector

4db6558

Update Node descriptions for DataIO and Connector

Update it to use the same Python Process

cfb7ce4

update it to use the same Python Process Create GEE port object

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1 adapt gee authenticator node to support google credentials as input and provide new gee port object #3

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-    Checks if column is long (e.g. int32 or int64).
-    @return: True if Column is long
+    Checks if column is an integer type (int32 or int64).
+    @return: True if Column is int32 or int64

		GeoPointCell, GeoLineCell, GeoPolygonCell, GeoMultiPointCell, GeoMultiLineCell, GeoMultiPolygonCell, ...
		@return: True if Column Type is GeoValue compatible

-    Checks if column is compatible to the GeoValue interface and thus returns true for all geospatial types such as:
-    GeoPointCell, GeoLineCell, GeoPolygonCell, GeoMultiPointCell, GeoMultiLineCell, GeoMultiPolygonCell, ...
-    @return: True if Column Type is GeoValue compatible
+    Checks if column is of date type (LocalDate).
+    @return: True if Column Type is LocalDate

		GeoPointCell, GeoLineCell, GeoPolygonCell, GeoMultiPointCell, GeoMultiLineCell, GeoMultiPolygonCell, ...
		@return: True if Column Type is a GeoLogical Point

-    Checks if column contains the given type whereas type can be :
-    GeoPointCell, GeoLineCell, GeoPolygonCell, GeoMultiPointCell, GeoMultiLineCell, GeoMultiPolygonCell, ...
-    @return: True if Column Type is a GeoLogical Point
+    Checks if the column's logical type contains the given type string.
+    The type string can represent any logical type, such as geospatial types (GeoPointCell, GeoLineCell, etc.) or other types.
+    @return: True if the column's logical type matches the provided type string.

	@return: True if Column is numeric or string
	@return: True if Column is int or string

		credentials = Credentials(
		token=str(credential_spec.auth_parameters),

1 adapt gee authenticator node to support google credentials as input and provide new gee port object #3

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1 adapt gee authenticator node to support google credentials as input and provide new gee port object #3

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