jupyter/2019-12-29-gstorage.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "from google.cloud import storage"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "storage_client = storage.Client()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### List buckets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<Bucket: bartek-data-science-bowl-2019>,\n",
       " <Bucket: bartek-test-bucket>,\n",
       " <Bucket: bartekdatasets>]"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "buckets = list(storage_client.list_buckets())\n",
    "buckets"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Create buckets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "TEST_BUCKET_NAME = \"bartek-test-bucket\"\n",
    "\n",
    "bucket = storage_client.create_bucket(TEST_BUCKET_NAME)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Bucket: bartek-test-bucket>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "bucket"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Deleting buckets"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "bucket = storage_client.get_bucket(TEST_BUCKET_NAME)\n",
    "bucket.delete()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Uploading files"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "bucket = storage_client.create_bucket(TEST_BUCKET_NAME)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "bucket = storage_client.bucket(TEST_BUCKET_NAME)\n",
    "blob = bucket.blob(\"sample_files/file1.txt\")\n",
    "blob.upload_from_filename(\"data/sample_text_files/file1.txt\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "blob = bucket.blob(\"sample_files/deeper/file1.txt\")\n",
    "blob.upload_from_filename(\"data/sample_text_files/file1.txt\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Listing objects"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<google.api_core.page_iterator.HTTPIterator at 0x1146061d0>"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "blobs = storage_client.list_blobs(TEST_BUCKET_NAME)\n",
    "blobs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "sample_files/deeper/file1.txt\n",
      "sample_files/file1.txt\n"
     ]
    }
   ],
   "source": [
    "for blob in blobs:\n",
    "    print(blob.name)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "sample_files/deeper/file1.txt\n"
     ]
    }
   ],
   "source": [
    "blobs = storage_client.list_blobs(TEST_BUCKET_NAME, prefix=\"sample_files/deeper\")\n",
    "for blob in blobs:\n",
    "    print(blob.name)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Deleting objects"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [],
   "source": [
    "blob = bucket.blob(\"sample_files/deeper/file1.txt\")\n",
    "blob.delete()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['sample_files/file1.txt']"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "blobs = storage_client.list_blobs(TEST_BUCKET_NAME)\n",
    "blob_names = [blob.name for blob in blobs]\n",
    "blob_names"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [],
   "source": [
    "for blob_name in blob_names:\n",
    "    blob = bucket.blob(blob_name)\n",
    "    blob.delete()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[]"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "blobs = storage_client.list_blobs(TEST_BUCKET_NAME)\n",
    "blob_names = [blob.name for blob in blobs]\n",
    "blob_names"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Upload all from directory"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [],
   "source": [
    "import os\n",
    "\n",
    "bucket = storage_client.bucket(TEST_BUCKET_NAME)\n",
    "storage_prefix = \"sample_files/\"\n",
    "data_dir = \"data/sample_text_files/\"\n",
    "files = os.listdir(data_dir)\n",
    "for filename in files:\n",
    "    blob = bucket.blob(storage_prefix + filename)\n",
    "    blob.upload_from_filename(data_dir + filename)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "sample_files/file1.txt\n",
      "sample_files/file2.txt\n"
     ]
    }
   ],
   "source": [
    "blobs = storage_client.list_blobs(TEST_BUCKET_NAME, prefix=storage_prefix)\n",
    "for blob in blobs:\n",
    "    print(blob.name)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Delete all by prefix"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [],
   "source": [
    "blobs = storage_client.list_blobs(TEST_BUCKET_NAME, prefix=storage_prefix)\n",
    "blob_names = [blob.name for blob in blobs]\n",
    "for blob_name in blob_names:\n",
    "    blob = bucket.blob(blob_name)\n",
    "    blob.delete()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [],
   "source": [
    "a = {'a': 1, 'b': 2}\n",
    "b = {'a': 2, 'c': 3}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'a': 1, 'c': 3, 'b': 2}"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dict(b, **a)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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