Initial commit

plot.ipynb

@@ -0,0 +1,109 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "initial_id",
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "from datetime import datetime\n",
+    "import sqlite3\n",
+    "\n",
+    "import plotly.graph_objects as go\n",
+    "import pandas as pd"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "outputs": [],
+   "source": [
+    "sqlite_file = input(\"Sqlite file: \")\n",
+    "conn = sqlite3.connect(sqlite_file)"
+   ],
+   "metadata": {
+    "collapsed": false
+   },
+   "id": "4a0911379968e60d",
+   "execution_count": null
+  },
+  {
+   "cell_type": "code",
+   "outputs": [],
+   "source": [
+    "query = '''\n",
+    "SELECT timestamp, filament_variant_id, available, region\n",
+    "    FROM availability\n",
+    "    LEFT JOIN measurements ON availability.measurement_id = measurements.id\n",
+    "    LEFT JOIN filament_variants ON availability.filament_variant_id = filament_variants.id\n",
+    "    LEFT JOIN filaments ON filament_variants.filament_id = filaments.id\n",
+    "'''\n",
+    "df = pd.read_sql(query, conn)\n",
+    "\n",
+    "all_timestamps = list(df['timestamp'].unique())\n",
+    "all_regions = list(df['region'].unique())\n",
+    "# idk why there is a None in the dataset. when I manually review it there is no None region\n",
+    "all_regions.remove(None)\n",
+    "\n",
+    "available = {region: [] for region in all_regions}\n",
+    "not_available = {region: [] for region in all_regions}\n",
+    "\n",
+    "for timestamp in all_timestamps:\n",
+    "    values = df.query(f'timestamp <= {timestamp}').drop(columns=['timestamp']).drop_duplicates(keep='last', subset=['filament_variant_id', 'region'])\n",
+    "    \n",
+    "    for region in all_regions:\n",
+    "        available[region].append(len(values.query(f'(available == 1) and (region == \"{region}\")')))\n",
+    "        not_available[region].append(len(values.query(f'(available == 0) and (region == \"{region}\")')))\n",
+    "\n",
+    "fig = go.Figure()\n",
+    "for region in all_regions:\n",
+    "    timestamp_datetime = [datetime.fromtimestamp(timestamp) for timestamp in all_timestamps]\n",
+    "    fig.add_trace(go.Scatter(x=timestamp_datetime, y=available[region], mode='markers+lines', name=f'Available ({region.upper()})'))\n",
+    "    fig.add_trace(go.Scatter(x=timestamp_datetime, y=not_available[region], mode='markers+lines', name=f'Not available ({region.upper()})'))\n",
+    "fig.update_layout(title='Total availability', xaxis_title='Time', yaxis_title='Availability', hovermode='x unified')\n",
+    "fig.show()\n",
+    "\n",
+    "fig = go.Figure()\n",
+    "for region in all_regions:\n",
+    "    timestamp_datetime = [datetime.fromtimestamp(timestamp) for timestamp in all_timestamps]\n",
+    "    ratios = []\n",
+    "    ratio_texts = []\n",
+    "    for i in range(len(available[region])):\n",
+    "        ratios.append(round((available[region][i] / (available[region][i] + not_available[region][i])) * 100, 2))\n",
+    "        ratio_texts.append(f'({available[region][i]} / {available[region][i] + not_available[region][i]})')\n",
+    "        \n",
+    "    fig.add_trace(go.Scatter(x=timestamp_datetime, y=ratios, text=ratio_texts, mode='markers+lines', name=region.upper()))\n",
+    "fig.update_layout(title='Availability Ratio', xaxis_title='Time', yaxis_title='Availability in %', yaxis_range=[0, 100], yaxis_ticksuffix = '%', hovermode='x unified')\n",
+    "fig.show()"
+   ],
+   "metadata": {
+    "collapsed": false
+   },
+   "id": "19ab0d8321462a7e",
+   "execution_count": null
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 2
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython2",
+   "version": "2.7.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}