Refactor: hours summarize notebook (#22)

Author: thekaveman

notebooks/summarize-harvest.ipynb

@@ -0,0 +1,111 @@
+{
+  "cells": [
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {},
+      "outputs": [],
+      "source": [
+        "import os\n",
+        "import pandas as pd"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {},
+      "outputs": [],
+      "source": [
+        "data = os.environ[\"HARVEST_DATA\"]\n",
+        "df = pd.read_csv(data.removeprefix(\"notebooks/\"))"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {},
+      "outputs": [],
+      "source": [
+        "df.info()"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {},
+      "outputs": [],
+      "source": [
+        "df[\"Date\"].min()"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {},
+      "outputs": [],
+      "source": [
+        "df[\"Date\"].max()"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {},
+      "outputs": [],
+      "source": [
+        "df[\"Hours\"].sum()"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {},
+      "outputs": [],
+      "source": [
+        "groupby = df.groupby([\"Project\"])\n",
+        "\n",
+        "for group in groupby.groups:\n",
+        "    group_df = groupby.get_group((group, ))\n",
+        "    sum = group_df[\"Hours\"].sum()\n",
+        "\n",
+        "    print(f\"{group}: {sum}\")"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "execution_count": null,
+      "metadata": {},
+      "outputs": [],
+      "source": [
+        "groupby = df.groupby([\"First name\", \"Last name\", \"Project\"])\n",
+        "\n",
+        "for group in groupby.groups:\n",
+        "    group_df = groupby.get_group(group)\n",
+        "    sum = group_df[\"Hours\"].sum()\n",
+        "\n",
+        "    print(f\"{group}: {sum}\")"
+      ]
+    }
+  ],
+  "metadata": {
+    "kernelspec": {
+      "display_name": "Python 3",
+      "language": "python",
+      "name": "python3"
+    },
+    "language_info": {
+      "codemirror_mode": {
+        "name": "ipython",
+        "version": 3
+      },
+      "file_extension": ".py",
+      "mimetype": "text/x-python",
+      "name": "python",
+      "nbconvert_exporter": "python",
+      "pygments_lexer": "ipython3",
+      "version": "3.11.6"
+    }
+  },
+  "nbformat": 4,
+  "nbformat_minor": 2
+}

notebooks/verify-harvest.ipynb

@@ -11,7 +11,7 @@ authors = [
 ]
 requires-python = ">=3.11"
 dependencies = [
-    "advanced-gam-for-google-workspace @ git+https://github.com/taers232c/GAMADV-XTD3.git@v6.71.15#subdirectory=src",
+    "advanced-gam-for-google-workspace @ git+https://github.com/taers232c/GAMADV-XTD3.git@v6.76.12#subdirectory=src",
     "pandas==2.2.2",
 ]