340 lines
7.8 KiB
Plaintext
340 lines
7.8 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"id": "b276f988-0f92-4ac0-b440-523252f841e9",
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"metadata": {},
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"source": [
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"# Playing around with Machine to Machine API access"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "0aac543d-e9f0-4a10-b4c2-35466085f2c2",
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"metadata": {},
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"outputs": [],
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"source": [
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"import requests\n",
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"from tqdm import tqdm"
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]
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},
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{
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"cell_type": "markdown",
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"id": "5efb08d1-b0f6-4f64-b87a-f2f5afd4c050",
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"metadata": {},
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"source": [
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"## Let's do some EagleEye setup"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "8f557a22-7ffe-4c0d-910d-9dee63b40832",
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"metadata": {},
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"outputs": [],
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"source": [
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"import logging\n",
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"logger = logging.getLogger()\n",
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"logger.setLevel('INFO')"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "d8ced614-480a-4341-bc40-6c66e16b54cd",
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"metadata": {},
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"outputs": [],
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"source": [
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"from EagleEyev3 import *\n",
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"from settings import config"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "091f1c2f-6bff-40e2-a0e8-d22d5f0ccd31",
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"metadata": {},
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"outputs": [],
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"source": [
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"een = EagleEyev3(config)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "23864933-181c-402e-b2f5-e47a9f1871c8",
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"metadata": {},
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"outputs": [],
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"source": [
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"een.__version__"
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]
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},
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{
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"cell_type": "markdown",
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"id": "2aaf14a9-f206-4909-a85f-fc736e964592",
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"metadata": {},
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"source": [
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"## Let's do some DB setup"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "12364fa5-fa06-419a-9d1c-b44f02c9ac63",
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"metadata": {},
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"outputs": [],
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"source": [
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"import sqlite3"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "c960ddb6-316f-4737-bd88-d796cdd7897b",
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"metadata": {},
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"outputs": [],
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"source": [
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"sqlite3.sqlite_version"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "d8ca6f35-ee80-4463-aab1-3c83e72068f0",
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"metadata": {},
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"outputs": [],
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"source": [
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"con = sqlite3.connect('instance/project.db')"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "a8c9679c-37e1-4091-998d-08fc83f9c53b",
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"metadata": {},
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"outputs": [],
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"source": [
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"cur = con.cursor()"
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]
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},
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{
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"cell_type": "markdown",
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"id": "80f58426-168f-47e1-b4f6-164cd5c6840a",
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"metadata": {},
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"source": [
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"## Login as a user with their refresh_token and query their cameras"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "954c5d7b-db09-483e-a5f0-a59fb5733c34",
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"metadata": {},
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"outputs": [],
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"source": [
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"if een:\n",
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" if een.refresh_token == None or een.refresh_token == '':\n",
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" # if you get out of sync, pull the refresh_token from the db to get the loop started\n",
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" result = cur.execute(\"select user.refresh_token from user where user.email = ?;\", (\"mcotton@mcottondesign.com\",))\n",
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" \n",
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" for row in result:\n",
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" een.refresh_token = row[0]\n",
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" else:\n",
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" # een object and refresh_token appear to be good\n",
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" pass\n",
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"else:\n",
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" logging.error('een object is None')"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "a3cd64b9-3e3c-4f02-971c-1b4436a776ea",
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"metadata": {},
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"outputs": [],
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"source": [
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"_ = een.login_tokens(code=None, cascade=True, refresh_token=een.refresh_token)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "a6a4aaac-64b0-424b-b5a1-50a3630e3b6f",
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"metadata": {},
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"outputs": [],
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"source": [
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"een.refresh_token"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "205b1c7b-0845-4412-a77e-98e6506d36de",
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"metadata": {},
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"outputs": [],
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"source": [
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"een.current_user"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "e640fd2d-05eb-42c1-bcf6-3183afa065ef",
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"metadata": {},
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"outputs": [],
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"source": [
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"result = cur.execute(\"select user.refresh_token, user.id from user where user.email = ?;\", (een.current_user['email'],))\n",
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"\n",
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"for row in result:\n",
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" print(f\"found user {een.current_user['email']}, updating refresh_token\")\n",
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" print(row)\n",
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" print(een.refresh_token)\n",
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" print(f\"update user set refresh_token = {een.refresh_token} where id == {row[1]};\")\n",
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" cur.execute(\"update user set refresh_token = ? where id == ?;\", (een.refresh_token, row[1]))\n",
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" con.commit()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "bdfde2f6-28b1-4623-8528-1492de00b83d",
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"metadata": {},
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"outputs": [],
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"source": [
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"_ = een.get_list_of_cameras()"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "e85f28ee-165d-442b-896e-05d74e29e644",
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"metadata": {},
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"outputs": [],
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"source": [
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"een.cameras"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "17806b22-5bad-497d-977d-b1c31ed48304",
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"metadata": {},
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"outputs": [],
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"source": [
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"r2d2 = een.cameras[3]"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "a6dc31ee-6041-44f7-8967-67856033a6a7",
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"metadata": {
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"scrolled": true
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},
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"outputs": [],
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"source": [
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"_ = r2d2.get_list_of_videos(start_timestamp=een.time_before(hours=24*1), end_timestamp=een.time_now())"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "3395164b-307d-473e-a090-fd782d0c1dc1",
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"metadata": {},
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"outputs": [],
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"source": [
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"len(r2d2.videos)"
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]
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},
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{
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"cell_type": "markdown",
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"id": "a924b74d-7a77-45b1-90a5-b9b0c3ab8d7d",
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"metadata": {},
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"source": [
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"## Download all the videos ##"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "74378ae5-0ade-4d8a-9636-2bd2800e59a3",
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"metadata": {},
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"outputs": [],
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"source": [
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"sql = '''SELECT\n",
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"\tdownload.id,\n",
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"\tdownload.url,\n",
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"\tcamera.device_id,\n",
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"\tdownload.start_timestamp,\n",
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"\tdownload.end_timestamp,\n",
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"\tdownload.status\n",
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"FROM\n",
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"\tcamera\n",
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"\tJOIN download ON download.camera_id = camera.id\n",
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"\tJOIN USER ON camera.user_id = user.id\n",
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"WHERE\n",
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"\tdownload.status == ?\n",
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"\tAND camera.id == ?;'''"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "8b61db76-e925-4ccb-bead-39239615daae",
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"metadata": {
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"scrolled": true
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},
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"outputs": [],
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"source": [
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"results = cur.execute(sql, ('new', 4))\n",
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"\n",
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"for row in tqdm(results):\n",
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" fname = f\"videos/{row[2]}/{row[2]}_{row[3]}-{row[4]}.mp4\"\n",
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" print(f\"{row[0]} - {row[5]}\")\n",
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" r2d2.save_video_to_file(url=row[1], filename=fname)\n",
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" new_cur = con.cursor()\n",
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" new_cur.execute(\"update download set status = ? where download.id == ?;\", ('done', row[0]))\n",
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" \n",
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" # less efficient to commit every iteration but it means I can watch the updates at the DB level\n",
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" con.commit()"
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]
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},
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{
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"cell_type": "raw",
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"id": "4f728219-12e2-4b60-b0af-0320efec95fb",
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"metadata": {},
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"source": []
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"id": "7a72cb7f-a6c5-49c1-8dca-38fe4a4981bb",
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "flask2",
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"language": "python",
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"name": "flask2"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.11.3"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 5
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}
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