Update environment configuration and requirements; specify package versions and clean up dependencies

CODE_MERGE_GUIDE_LARAVEL.md

@@ -1115,36 +1115,9 @@ python python_app/23_convert_harvest_format.py angata
 
 **What needs implementation:**
 
-**Step 1: Create database migration**
+> **Note**: Database migration for `preferred_area_unit` column already created in **STEP 1**. The column is added alongside `client_type` in the same migration with proper rollback handling.
 
-```php
+**Step 1: Update Project model** (`laravel_app/app/Models/Project.php`)
-<?php
-
-use Illuminate\Database\Migrations\Migration;
-use Illuminate\Database\Schema\Blueprint;
-use Illuminate\Support\Facades\Schema;
-
-return new class extends Migration
-{
-    public function up(): void
-    {
-        Schema::table('projects', function (Blueprint $table) {
-            $table->enum('preferred_area_unit', ['hectare', 'acre'])
-                ->default('hectare')
-                ->after('client_type');
-        });
-    }
-
-    public function down(): void
-    {
-        Schema::table('projects', function (Blueprint $table) {
-            $table->dropColumn('preferred_area_unit');
-        });
-    }
-};
-```
-
-**Step 2: Update Project model** (`laravel_app/app/Models/Project.php`)
 
 ```php
 protected $fillable = [
@@ -1153,7 +1126,7 @@ protected $fillable = [
 ];
 ```
 
-**Step 3: Add form UI** (Blade template)
+**Step 2: Add form UI** (Blade template)
 
 ```blade
 <div class="form-group mb-3">
@@ -1175,7 +1148,7 @@ protected $fillable = [
 </div>
 ```
 
-**Step 4: Pass preference to R scripts** (in job/shell wrapper)
+**Step 3: Pass preference to R scripts** (in job/shell wrapper)
 
 When launching R scripts, read `project->preferred_area_unit` and either:
 - **Option A**: Write to `parameters_project.R` dynamically before script execution

python_app/environment_pytorch.yml

@@ -5,13 +5,13 @@ channels:
   - conda-forge
 dependencies:
   - python=3.10
-  - pytorch::pytorch
+  - pytorch::pytorch=2.5.1
-  - pytorch::torchvision
+  - pytorch::torchvision=0.20.1
-  - pytorch::torchaudio
+  - pytorch::torchaudio=2.5.1
   - pytorch::pytorch-cuda=11.8
   - gdal>=3.7.0
+  - shapely>=2.0.0
+  - pyproj>=3.4.0
   - pip
   - pip:
     - sentinelhub>=3.9.0
-    - shapely>=2.0.0
-    - pyproj>=3.4.0

python_app/requirements_harvest.txt

@@ -1,8 +1,9 @@
 torch>=2.0.0
 pandas>=1.5.0
-numpy>=1.23.0
+numpy>=1.23.0,<3.0.0
 scikit-learn>=1.3.0
-GDAL>=3.7.0
+# GDAL must match the system libgdal version exactly; install via:
-sentinelhub>=3.9.0
+#   pip install gdal[numpy]=="$(gdal-config --version).*"
+# Do not pin with >= here; handle GDAL installation separately in the Dockerfile/CI setup script.sentinelhub>=3.9.0
 shapely>=2.0.0
 pyproj>=3.4.0