Update notebook

notebook.ipynb

@@ -108,23 +108,7 @@
    "outputs": [],
    "source": [
     "# Replace this uuid with the output of the previous cell to keep trace of your current work\n",
-    "zones_uuid = '1649bc77209a41a990b610bfa10f272b'"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# Retrieve extraction zones with UUID\n",
-    "extraction_zones = assets_management.ExtractionZones(local_file='./example_data/Lhasa_RC_DGO2km_updated.shp', # Local file containing extraction features\n",
-    "                                                     fid_field='DGO_FID', # Unique identifier field name\n",
-    "                                                     zone_type='DGOs', # Literal description of the zones types (eg. DGOs, Cites, Gravel quarries, ...)\n",
-    "                                                     description='DGOs of 2km for Lhasa river', # Literal description of the zones. Give a maximum details so other GloUrb researcher can understand chat are these zones.\n",
-    "                                                     author='Georges Abitbol', # Identify the producer of those extraction zones\n",
-    "                                                     asset_uuid=zones_uuid\n",
-    "                                                    )"
+    "zones_uuid = '423023412407495ba4d441e835ad0f19'"
    ]
   },
   {
@@ -160,6 +144,16 @@
     "extraction_zones.gee_state # 'none', 'partial' or 'complete'"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Once the upload process is started, you can retrieve your asset with it's UUID\n",
+    "extraction_zones = assets_management.ExtractionZones(asset_uuid=zones_uuid)"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -207,7 +201,18 @@
    "outputs": [],
    "source": [
     "# Get all the extraction zones available on the GEE project\n",
-    "collection.getGlourbeeExtractionZones()"
+    "glourbee_zones = collection.getGlourbeeExtractionZones()\n",
+    "glourbee_zones"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Use one of the extraction zones for your current work\n",
+    "extraction_zones = assets_management.ExtractionZones(asset_uuid='423023412407495ba4d441e835ad0f19')"
    ]
   },
   {
@@ -217,7 +222,21 @@
    "outputs": [],
    "source": [
     "# Get all the metrics datasets already calculated for an extraction zone dataset\n",
-    "collection.getGlourbeeMetrics(zones_uuid='8e57f5112a314a68a39666993ec1f773')"
+    "glourbee_metrics = collection.getGlourbeeMetrics(zones_uuid='8e57f5112a314a68a39666993ec1f773')\n",
+    "glourbee_metrics"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Download one of the metrics datasets\n",
+    "metrics = assets_management.MetricsDataset(asset_uuid='54a79deaaf47443392b9ae5178dd5f03', parent_zones='8e57f5112a314a68a39666993ec1f773')\n",
+    "metrics.download(output_file='./example_data/metrics.csv',\n",
+    "                 overwrite=False # By setting this to False, download will resume at his previous step if it was interrupted\n",
+    "                )"
    ]
   },
   {
@@ -353,6 +372,17 @@
     "metrics.cancel_linked_tasks()"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Delete the metrics dataset from GEE\n",
+    "# WARNING: non reversible operation\n",
+    "metrics.delete()"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},