Ex5.ipynb

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          "text": [
            "Looking in indexes: https://pypi.org/simple, https://us-python.pkg.dev/colab-wheels/public/simple/\n",
            "Collecting firebase\n",
            "  Downloading firebase-4.0.1-py3-none-any.whl (12 kB)\n",
            "Requirement already satisfied: requests in /usr/local/lib/python3.9/dist-packages (from firebase) (2.27.1)\n",
            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.9/dist-packages (from requests->firebase) (3.4)\n",
            "Requirement already satisfied: charset-normalizer~=2.0.0 in /usr/local/lib/python3.9/dist-packages (from requests->firebase) (2.0.12)\n",
            "Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/local/lib/python3.9/dist-packages (from requests->firebase) (1.26.15)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.9/dist-packages (from requests->firebase) (2022.12.7)\n",
            "Installing collected packages: firebase\n",
            "Successfully installed firebase-4.0.1\n"
          ]
        }
      ],
      "source": [
        "!pip install firebase"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from firebase import firebase\n",
        "FBconn = firebase.FirebaseApplication('https://ex5-72f11-default-rtdb.europe-west1.firebasedatabase.app/',None)\n",
        "while True:\n",
        "  temperature = int (input (\"what is the temperature?\"))\n",
        "  data_to_upload = {\n",
        "      'Temp' : temperature\n",
        "  }\n",
        "  result = FBconn.post('/myTest1/', data_to_upload)\n",
        "  print(result)"
      ],
      "metadata": {
        "id": "QtcIfqnO0ODl"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "from firebase import firebase\n",
        "\n",
        "firebase = firebase.FirebaseApplication('https://ex5-72f11-default-rtdb.europe-west1.firebasedatabase.app/', None)\n",
        "result = firebase.get('/myTest1', None)\n",
        "\n",
        "for key in result:\n",
        "  print(key + \":\\t\" , result[key])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "9jV_t33s2un0",
        "outputId": "938bc50d-faf6-4d58-acbb-2fa18fa228db"
      },
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "-NTlpBGG8j3vwe_XrvJS:\t {'Temp': 19}\n",
            "-NTlqJ9AQoQ8fx1QcZwE:\t {'Temp': 20}\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from firebase import firebase\n",
        "from ipywidgets.widgets import widget\n",
        "import ipywidgets as widgets\n",
        "\n",
        "\n",
        "# connect to firevase\n",
        "FBconn = firebase.FirebaseApplication('https://ex5-72f11-default-rtdb.europe-west1.firebasedatabase.app/',None)\n",
        "\n",
        "\n",
        "text1=widgets.Text(description = \"First Name:\")\n",
        "text2=widgets.Text(description = \"Last Name:\")\n",
        "text3=widgets.Text(description = \"Email:\")\n",
        "text4=widgets.Text(description = \"Courses:\")\n",
        "text5=widgets.Text(description = \"Fvorite TV:\")\n",
        "\n",
        "button = widgets.Button(description=\"Add to DataBase!\")\n",
        "output = widgets.Output()\n",
        "\n",
        "\n",
        "def save_student(b):\n",
        "  student = {\n",
        "      \"First Name\": text1.value,\n",
        "      \"Last Name\": text2.value,\n",
        "      \"Email\": text3.value,\n",
        "      \"Courses\": (text4.value).split(\",\"),\n",
        "      \"Tv\": text5.value\n",
        "  }\n",
        "  result = FBconn.post('/students/', student)\n",
        "  with output:\n",
        "    print(\"Studnet added: ID:\", result)\n",
        "\n",
        "button.on_click(save_student)\n",
        "\n",
        "\n",
        "display(text1,text2,text3,text4,text5, output, button)\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 290,
          "referenced_widgets": [
            "f91dbf02cd1f447ea48bcb81bc8192b3",
            "227ba9e8897441ec9383015eedc89975",
            "fce761eb137b4e4ab7e6ce96761eb16a",
            "3415aeafee434a69bf68c7cc89afe5c7",
            "4249634a24fa4d70ac08c5984ca2b10e",
            "5b4fa2192f60421499af870ff00ef5a7",
            "29cefba502654f9daec3c361df567051",
            "083491322b194f02ba2e34fdc9536553",
            "4262958d435a42a7912644806b43e149",
            "6da422288d63426e830f000c3cc27286",
            "efda0e6f70c6405d8534b80b4b2d6b8b",
            "16a0328173864b1b81fc0fc825d7b9a5",
            "8db895198c554135b378c07af25ed8a1",
            "7048502434b3484a9309f5fc90c10588",
            "111adabb003b4654ba2e847a3f983aaf",
            "4e6e6fdaa4724d38a5587139ba11435b",
            "48f790efdf4f4088aa1044214a62d59e",
            "a9a1f36744a345c2899363ed78cdb972",
            "752d40a3e8d5451e82d30047b6f1298d",
            "9e526e7ce2484384a48ef74f402cb530"
          ]
        },
        "id": "cYuJzm9i4R0A",
        "outputId": "0cd51360-5e03-4022-ce86-4f2129e3166e"
      },
      "execution_count": 22,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Text(value='', description='First Name:')"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "f91dbf02cd1f447ea48bcb81bc8192b3"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Text(value='', description='Last Name:')"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "3415aeafee434a69bf68c7cc89afe5c7"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Text(value='', description='Email:')"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "29cefba502654f9daec3c361df567051"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Text(value='', description='Courses:')"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "6da422288d63426e830f000c3cc27286"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Text(value='', description='Fvorite TV:')"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "8db895198c554135b378c07af25ed8a1"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Output()"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "4e6e6fdaa4724d38a5587139ba11435b"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "Button(description='Add to DataBase!', style=ButtonStyle())"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "a9a1f36744a345c2899363ed78cdb972"
            }
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from firebase import firebase\n",
        "\n",
        "firebase = firebase.FirebaseApplication('https://ex5-72f11-default-rtdb.europe-west1.firebasedatabase.app/', None)\n",
        "result = firebase.get('/students', None)\n",
        "\n",
        "for key in result:\n",
        "  student = result[key]\n",
        "  print(student[\"First Name\"],student[\"Last Name\"],\"\\n\"+ student[\"Email\"], \"\\n\", student[\"Courses\"],\"\\n\"+ student[\"Tv\"],\"\\n\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "A_pLWOGc_Oqu",
        "outputId": "fb44012d-2673-4290-86e6-d7c447bf1ba6"
      },
      "execution_count": 32,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Itai Benjamin \n",
            "itaibenjy@gmail.com \n",
            " ['Data Mining', 'Mechanics', 'Cloud Computing', 'AI'] \n",
            "Breaking Bad \n",
            "\n",
            "Ben Merigen \n",
            "Ben.Merigen@e.Braude.ac.il \n",
            " ['Cloud', 'Data Mining', 'Web', 'Compilation'] \n",
            "Naruto \n",
            "\n",
            "Rom Harel \n",
            "Rom.Harel@e.Braude.ac.il \n",
            " ['Cloud', 'Data Mining', 'Web', 'Compilation'] \n",
            "Pokimon \n",
            "\n",
            "Daniel Maman \n",
            "Daniel.Maman@e.Braude.ac.il \n",
            " ['Cloud', 'Data Mining', 'Web', 'Compilation'] \n",
            "Football \n",
            "\n",
            "Nevo Gottlleb \n",
            "Nevo.Gottlieb@e.Braude.ac.il \n",
            " ['Cloud', 'Data Mining', 'Web', 'Compilation'] \n",
            "Better Call Soul \n",
            "\n",
            "Raz Kassel \n",
            "Raz.Kassel@e.Braude.ac.il \n",
            " ['Cloud', 'Data Mining', 'Web', 'Compilation'] \n",
            "How I Met Your Mother \n",
            "\n"
          ]
        }
      ]
    }
  ]
}