Untitled.ipynb

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   "source": [
    "import os, pandas as pd, datetime\n",
    "\n"
   ]
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   "execution_count": 11,
   "metadata": {},
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     "text": [
      "Files exist\n",
      "pandas DataFrames created\n",
      "DataFrame structured in new format\n",
      "DataFrames structured in old format\n",
      "Old entries updated with newest data\n",
      "Adding the following days to the database:\n",
      "            total_downloads\n",
      "date                       \n",
      "2017-11-27             4518\n",
      "2017-11-28             2777\n",
      "2017-11-29             4692\n",
      "2017-11-30             6203\n",
      "2017-12-01             3432\n",
      "2017-12-02             1679\n",
      "2017-12-03                8\n"
     ]
    }
   ],
   "source": [
    "daily_database_filename = \"raw_data/daily-totals_2017-12-03.csv\"\n",
    "daily_additions_filename = \"raw_data/2017-12-03_export_13184.csv\"\n",
    "\n",
    "if not os.path.isfile(daily_database_filename):\n",
    "    print(\"{} does not exist, try again\".format(daily_database_filename))\n",
    "    raise FileExistsError\n",
    "if not os.path.isfile(daily_additions_filename):\n",
    "    print(\"{} does not exist, try again\".format(daily_additions_filename))\n",
    "    raise FileExistsError\n",
    "\n",
    "path = os.path.dirname(daily_database_filename)\n",
    "filename, extention = os.path.basename(daily_database_filename).split('.')\n",
    "\n",
    "print(\"Files exist\")\n",
    "\n",
    "database = pd.read_csv(daily_database_filename, parse_dates=[0])\n",
    "addition = pd.read_csv(daily_additions_filename, parse_dates=[0])\n",
    "\n",
    "print(\"pandas DataFrames created\")\n",
    "\n",
    "database = database[['date', 'total_downloads']].set_index('date')\n",
    "addition = addition.set_index('date')\n",
    "if 'requests' in addition.columns:\n",
    "    new_parse(database, addition)\n",
    "else:\n",
    "    old_parse(database, addition)"
   ]
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