Formatting feedback messages in 0a, 0b.

0b_Create_poi_files.ipynb

@@ -220,9 +220,7 @@
   {
    "cell_type": "markdown",
    "id": "5dc94a91-16fa-4a51-9f22-b1ede42cd8f0",
-   "metadata": {
-    "jp-MarkdownHeadingCollapsed": true
-   },
+   "metadata": {},
    "source": [
     "## 3. Merge segment parameter values from the parameter file with segment GeoDataFrame"
    ]
@@ -359,7 +357,11 @@
    "cell_type": "code",
    "execution_count": null,
    "id": "09c9554e-4a10-42c1-a1f1-c6ba00af6f5c",
-   "metadata": {},
+   "metadata": {
+    "jupyter": {
+     "source_hidden": true
+    }
+   },
    "outputs": [],
    "source": [
     "# NWIS data pull functions from pyPRMS\n",
@@ -561,7 +563,11 @@
    "cell_type": "code",
    "execution_count": null,
    "id": "49534463-5cb4-4d1d-9c9a-8b76c4e09e53",
-   "metadata": {},
+   "metadata": {
+    "jupyter": {
+     "source_hidden": true
+    }
+   },
    "outputs": [],
    "source": [
     "# Reads/Creates NWIS stations file if not already created\n",
@@ -682,12 +688,10 @@
   {
    "cell_type": "markdown",
    "id": "192ae690-f22d-46c9-af17-237604436615",
-   "metadata": {
-    "jp-MarkdownHeadingCollapsed": true
-   },
+   "metadata": {},
    "source": [
     "## Create default_gages.csv for your model extraction.\n",
-    "##### This will be composed of the gages that are in the model, but also include NWIS gages that may be added later to the model. Time-series data for streamflow observations will be collected using this gage list."
+    "##### This will be composed of the gages listed in the NHMx parameter file, and NWIS gages that may be added. Time-series data for streamflow observations will be collected using this gage list."
    ]
   },
   {
@@ -712,15 +716,20 @@
     "        columns=[\"poi_id\", \"nhm_seg\", \"poi_gage_segment\", \"poi_type\"], inplace=True\n",
     "    )\n",
     "    non_NWIS_gages_from_poi_df.rename(columns={\"poi_gage_id\": \"poi_id\"}, inplace=True)\n",
-    "    # non_NWIS_gages_from_poi_df"
+    "    # non_NWIS_gages_from_poi_df\n",
+    "\n",
+    "    non_NWIS_gages_from_poi_list = non_NWIS_gages_from_poi_df.poi_id.to_list()\n",
+    "    non_NWIS_gages_from_poi_df_txt = f\"WARNING: {len(non_NWIS_gages_from_poi_list)} of the {len(poi_df)} gages {non_NWIS_gages_from_poi_df.poi_id.to_list()} in the parameter file are not in NWIS.\"\n",
+    "else:\n",
+    "    non_NWIS_gages_from_poi_df_txt = (\n",
+    "        f\"All {len(poi_df)} gages in the parameter file are present in NWIS.\"\n",
+    "    )"
    ]
   },
   {
    "cell_type": "markdown",
    "id": "593c4eba-8bd3-40f6-8b3a-2043354fef4f",
-   "metadata": {
-    "jp-MarkdownHeadingCollapsed": true
-   },
+   "metadata": {},
    "source": [
     "#### Make a dataframe for all non-NWIS gages (if present) in the parameter file and all NWIS gages in the model domain\n",
     "##### Note: the NWIS gages in the poi_df (gages in the parameter file) should be in NWIS_sites_aoi df."
@@ -755,9 +764,7 @@
   {
    "cell_type": "markdown",
    "id": "7d484280-803f-46fb-b4b1-680c320a0313",
-   "metadata": {
-    "jp-MarkdownHeadingCollapsed": true
-   },
+   "metadata": {},
    "source": [
     "#### Save the default station file (gage file) as a .csv file"
    ]
@@ -800,14 +807,6 @@
     "## Update gages_df if gages.csv was created"
    ]
   },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "27faffa3-91ea-4db7-a2bc-fb43fd9b6991",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -838,14 +837,14 @@
     "    # Make poi_id the index\n",
     "    gages_df.set_index(\"poi_id\", inplace=True)\n",
     "\n",
-    "    con.print(f\"The appended gage file will be used and has {len(gages_df)} gages.\")\n",
+    "    gage_df_txt = f\"The appended gage file will be used and has {len(gages_df)} gages.\"\n",
     "else:\n",
     "    gages_df = pd.read_csv(default_gages_file, dtype=cols)\n",
     "\n",
     "    # Make poi_id the index\n",
     "    gages_df.set_index(\"poi_id\", inplace=True)\n",
     "\n",
-    "    con.print(f\"The default gage file will be used and has {len(gages_df)} gages.\")"
+    "    gage_df_txt = f\"The default gage file that includes all gages in NWIS will be used and has {len(gages_df)} gages.\""
    ]
   },
   {
@@ -911,9 +910,14 @@
     "missing_meta_df = poi_df[\n",
     "    poi_df[[\"latitude\", \"longitude\", \"poi_name\"]].isna().any(axis=1)\n",
     "]  # poi_df[poi_df.isna().any(axis=1)]\n",
-    "con.print(\n",
-    "    f\"WARNING: Gage {missing_meta_df.poi_gage_id.values} missing metadata and will be dropped from the poi_gdf.\"\n",
-    ")\n",
+    "missing_meta_list = missing_meta_df.poi_gage_id.values\n",
+    "\n",
+    "if missing_meta_list:\n",
+    "    missing_meta_txt = f\"WARNING: Gage {missing_meta_list} missing metadata and will be dropped from the poi_gdf and will not be plotted on maps in the notebook.\"\n",
+    "else:\n",
+    "    missing_meta_txt = f\"All gages in the default gage file have metadata and will be plotted on maps in the notebook.\"\n",
+    "\n",
+    "\n",
     "# poi_df.notna(inplace=True, ignore_index=False)\n",
     "# poi_df.reset_index(drop=True, inplace=True)\n",
     "\n",
@@ -960,7 +964,18 @@
     "con.print(\n",
     "    f\"An additional {len(additional_gages)} streamflow gages are in the model domain and not in the parameter file; {len(nwis_gages_in_additional_gages_list)} are in NWIS.\"\n",
     ")\n",
-    "# nwis_gages_aoi_list = nwis_gages_aoi.poi_id.to_list()"
+    "# nwis_gages_aoi_list = nwis_gages_aoi.poi_id.to_list()\n",
+    "\n",
+    "\n",
+    "con.print(\n",
+    "    \"NHM-Assist gage file details:\",\n",
+    "    \"\\n\",\n",
+    "    non_NWIS_gages_from_poi_df_txt,\n",
+    "    \"\\n\",\n",
+    "    gage_df_txt,\n",
+    "    \"\\n\",\n",
+    "    missing_meta_txt,\n",
+    ")"
    ]
   },
   {
@@ -970,7 +985,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "hru_gdb"
+    "# hru_gdb"
    ]
   },
   {
@@ -980,6 +995,14 @@
    "metadata": {},
    "outputs": [],
    "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c842e1f6-f277-45a1-bd33-2ebf0e8a7d6a",
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {