Find busiest week and shrink feed.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from collections import defaultdict\n",
    "\n",
    "import partridge as ptg"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "inpath = '/Users/Charlie/Downloads/target_feed.zip'\n",
    "outpath = '/Users/Charlie/Downloads/output_feed.zip'\n",
    "agency_id = 'target_agency_id'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'2017-25'"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "service_ids_by_date = ptg.read_service_ids_by_date(inpath)\n",
    "trip_counts_by_date = ptg.read_trip_counts_by_date(inpath)\n",
    "\n",
    "weekly_trip_counts = defaultdict(int)\n",
    "weekly_service_ids = defaultdict(set)\n",
    "for date, service_ids in service_ids_by_date.items():\n",
    "    key = date.strftime('%G-%V')\n",
    "    weekly_trip_counts[key] += trip_counts_by_date[date]\n",
    "    weekly_service_ids[key] |= service_ids\n",
    "\n",
    "week, _ = max(weekly_trip_counts.items(), key=lambda p: p[1])\n",
    "service_ids = weekly_service_ids[week]\n",
    "\n",
    "week"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'/Users/Charlie/Downloads/Sydney_shrunk.zip'"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ptg.writers.extract_feed(inpath, outpath, {\n",
    "    'trips.txt': {'service_id': service_ids},\n",
    "    'agency.txt': {'agency_id': agency_id},\n",
    "})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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