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These are the user uploaded subtitles that are being translated: 1 00:00:01,310 --> 00:00:07,070 In this section we will talk about interpreting the Jason encoded data 2 00:00:09,720 --> 00:00:12,450 javascript object and notation. 3 00:00:12,450 --> 00:00:18,930 Jason attempts to strike a balance between human and mission readability. 4 00:00:19,110 --> 00:00:27,990 Armed with a fear Jason rules most humans can read Jason data moved past simply guessing at what it 5 00:00:27,990 --> 00:00:35,160 means and confidently interpret the data structures defined by the Jason data. 6 00:00:35,160 --> 00:00:44,160 At the same time Jason data makes it easy for programs to convert Jason text into variables making it 7 00:00:44,160 --> 00:00:52,980 very useful for data exchange between applications using API ice you can find the details of Jason in 8 00:00:53,100 --> 00:01:03,840 our FC 8 2 5 9 and in a number of sites found with the Internet searches including the w w w that Jason 9 00:01:03,870 --> 00:01:07,460 that arc saw. 10 00:01:07,820 --> 00:01:15,890 Let's start with the interpreting to Jason as the data flows back and forth between our application 11 00:01:15,920 --> 00:01:17,740 and the network controller. 12 00:01:17,810 --> 00:01:23,000 That data is commonly written in Jason data format. 13 00:01:23,120 --> 00:01:32,990 You can't think of that skill and that the task with two major branches first even ignoring the syntax 14 00:01:33,050 --> 00:01:41,780 and spatial characters anyone who knows the topic can probably make an intelligent guesses about the 15 00:01:42,170 --> 00:01:49,970 meaning of many of the key Valley pairs for example without knowing anything about Jason's syntax. 16 00:01:49,970 --> 00:01:57,440 You could probably do to mine from your prior knowledge of Cisco or others and switches that the Jason 17 00:01:57,470 --> 00:02:07,260 on the screen that lists to the wise maybe they are just names and a list of interfaces on each device. 18 00:02:07,280 --> 00:02:09,670 You can see in here this is Jason. 19 00:02:09,770 --> 00:02:12,860 Yep but we have our one. 20 00:02:13,090 --> 00:02:13,510 Probably. 21 00:02:13,520 --> 00:02:16,610 That's the host name are two. 22 00:02:16,640 --> 00:02:25,790 That's also the house name and the interfaces of the rather one and these are the interfaces of the 23 00:02:26,090 --> 00:02:28,150 rather two right. 24 00:02:28,160 --> 00:02:28,680 Okay. 25 00:02:28,730 --> 00:02:37,070 Honestly you probably already know everything needed to do this kind of intelligent guessing. 26 00:02:37,070 --> 00:02:45,590 However to perform the second type of task where you analyze the adjacent data to find the data structures 27 00:02:45,860 --> 00:02:54,460 including objects lists and key value pairs you need to know a bit more about Jason's syntax. 28 00:02:54,620 --> 00:03:00,680 So let's go ahead with the key value pairs in Jason's syntax guys. 29 00:03:00,680 --> 00:03:09,680 Each and every column identifies one key value pair with the key before the column and the value after 30 00:03:09,680 --> 00:03:18,130 the column so you can see in here we have one true and three key value pairs. 31 00:03:18,160 --> 00:03:24,050 These are the keys and these are the values. 32 00:03:24,170 --> 00:03:30,530 So first best is the key and messy is the value. 33 00:03:30,530 --> 00:03:35,200 Second best is the key run out low is the value. 34 00:03:35,210 --> 00:03:39,130 Third best is the key and Pella is the value. 35 00:03:39,750 --> 00:03:45,630 Okay let's go ahead with the key key is the text inside. 36 00:03:45,640 --> 00:03:48,030 Double quotes before the column. 37 00:03:48,080 --> 00:03:52,020 Use that as the name that area for instance value. 38 00:03:52,060 --> 00:03:52,500 Okay. 39 00:03:52,510 --> 00:03:56,800 We have already talked about this one that should be in. 40 00:03:57,160 --> 00:04:05,510 Yes key should be inside the double quotes and this is our key and you can see it's inside the double 41 00:04:05,870 --> 00:04:13,560 codes and that is before the double column you can see in here. 42 00:04:13,670 --> 00:04:22,570 So inside the double quotes and before the Colum. 43 00:04:22,940 --> 00:04:32,790 Okay so let's go ahead with the value volley is the item after the column that represents the value 44 00:04:32,810 --> 00:04:42,860 of the key which can be a volley can be and taxed guys that should be listed in double quotes like in 45 00:04:43,160 --> 00:04:48,290 here and volley also can be numeric. 46 00:04:49,200 --> 00:05:00,160 If our volley is numeric that is listed without chords that can be an array and object and they are 47 00:05:00,210 --> 00:05:09,900 as some special values then we will talk about more details on our later sections okay on Jason's syntax 48 00:05:09,900 --> 00:05:17,130 when we need to list multiple key value pairs we need to separate the pairs with a comma and NE as you 49 00:05:17,130 --> 00:05:25,830 can see in here the first comma and the second comma but whereas the third comma we don't use the comma 50 00:05:25,950 --> 00:05:32,230 at the end of the last key value pair okay. 51 00:05:32,240 --> 00:05:42,890 Let's go ahead with some more information we have objects and the array terms object is a series of 52 00:05:42,890 --> 00:05:53,550 key value pairs and close to in an matched pair of curly brackets here is the thing that we need to 53 00:05:53,610 --> 00:05:54,440 care about. 54 00:05:54,450 --> 00:06:01,500 Objects should be inside the color brackets guys with an opening left curly bracket and it's matching 55 00:06:01,510 --> 00:06:11,520 right color bracket when it comes to array array is as series of values not key value pairs. 56 00:06:11,960 --> 00:06:12,410 Okay. 57 00:06:12,420 --> 00:06:20,550 Pay attention this one and enclose the in a matched pair of square brackets. 58 00:06:20,550 --> 00:06:29,040 This time with an opening left screen bracket and its matching right square bracket. 59 00:06:29,150 --> 00:06:33,260 So what about the key value pairs inside the objects. 60 00:06:33,260 --> 00:06:40,300 All key value pairs inside an object conform to the earlier rules for the key value pairs. 61 00:06:40,310 --> 00:06:49,930 We talked already and all values inside inside the arrays conform to the earlier rules for formatting 62 00:06:49,930 --> 00:06:50,780 values. 63 00:06:50,800 --> 00:06:59,590 For example double quotes around tags no quotes around the numbers are okay below the screen shows a 64 00:06:59,590 --> 00:07:02,200 single array in Jason format. 65 00:07:02,200 --> 00:07:06,310 In here you can see a single array in Jason format. 66 00:07:06,370 --> 00:07:09,100 Notice the Jason data begins with 67 00:07:12,330 --> 00:07:24,910 two square brackets and then lists three text values in here they are messy Ronaldo and d blah and the 68 00:07:24,910 --> 00:07:32,200 values could have been a mix of values and it ends with another square bracket 69 00:07:36,490 --> 00:07:46,660 while example on previous slide shows only the array itself Jason arrays can be used as a value in any 70 00:07:46,660 --> 00:07:56,530 key value pair figure on the screen does just that and shown in a graphic to elo is here highlighting 71 00:07:56,680 --> 00:07:59,490 of the arrays and the objects. 72 00:07:59,800 --> 00:08:10,750 The Jason text in the figure includes two arrays as values and a these values each from just after column 73 00:08:10,840 --> 00:08:13,730 indicating they are values really. 74 00:08:13,750 --> 00:08:16,600 So here is the first Jason array. 75 00:08:16,630 --> 00:08:20,410 So here it is. 76 00:08:21,200 --> 00:08:22,430 Jason array with 77 00:08:25,940 --> 00:08:30,460 please pay attention to start and finish at the first Jason array. 78 00:08:30,650 --> 00:08:36,890 And this is the first for favorite players and they are messy Ronaldo and Bella. 79 00:08:37,370 --> 00:08:46,430 And this is the second Jason array and it's the favorite teams and they are Barcelona U.N. those and 80 00:08:46,430 --> 00:08:48,480 the document. 81 00:08:48,500 --> 00:08:53,780 So now let's think about the entire structure of the Jason data. 82 00:08:53,780 --> 00:09:04,100 In previous slide it has a matched pair of Charlie brackets to begin and end the text encapsulating 83 00:09:04,100 --> 00:09:08,990 one object that object contains two columns. 84 00:09:08,990 --> 00:09:13,810 So there are two key value pairs inside the object. 85 00:09:14,000 --> 00:09:21,980 When you think about the broader structure as depicted in the figure on the screen you can see now this 86 00:09:21,980 --> 00:09:29,240 Jason File has one Jason object itself with two key value pairs. 87 00:09:29,450 --> 00:09:36,390 Please note that this figure does not show the correct Jason's syntax for the lists. 88 00:09:36,500 --> 00:09:46,040 It instead is intended to make sure used to see the structure of the one object and its two key value 89 00:09:46,070 --> 00:09:52,090 pairs to drive home the idea of how to find Jason objects. 90 00:09:52,100 --> 00:09:56,210 You can consider the examples shown in this slide. 91 00:09:56,210 --> 00:10:02,110 This figure shows the correct Jason's syntax guys and it has the following. 92 00:10:02,180 --> 00:10:10,460 There is one object for the entire set because it begins and ends with curly braces. 93 00:10:10,460 --> 00:10:11,570 You can see it in here 94 00:10:14,800 --> 00:10:24,790 then the outer object has two keys and the first key is when those favorites and the second key is the 95 00:10:24,910 --> 00:10:25,930 interface config. 96 00:10:26,650 --> 00:10:31,910 The value of each key value pair is another object. 97 00:10:32,380 --> 00:10:49,320 So each with curly braces and you can see them here here and here and also we have three key value pairs. 98 00:10:49,400 --> 00:10:50,310 Key value pair. 99 00:10:50,320 --> 00:10:57,570 1 2 3 key value pair 1 2 3 OK. 100 00:10:57,620 --> 00:11:04,700 The Jason example in this slide shows how Jason can list objects and arrays. 101 00:11:04,850 --> 00:11:10,940 That is Jason puts one object or array inside another. 102 00:11:10,940 --> 00:11:19,580 Much of the Jason output you will see as you learn more and more about network automation will include 103 00:11:19,610 --> 00:11:25,550 Jason data with nested arrays and objects okay. 104 00:11:25,580 --> 00:11:31,420 So far all the Jason examples show lots of empty space. 105 00:11:31,430 --> 00:11:38,840 Jason allows for white space or not depending on your needs for humans. 106 00:11:38,840 --> 00:11:47,860 Reading Jason can be a lot easier with the text organized with space and light for instance having the 107 00:11:47,870 --> 00:11:56,510 match to opening and closing brackets sit at the same left offset makes it much easier to find which 108 00:11:56,510 --> 00:12:03,040 brackets go with which when stored in a file or sent in a network. 109 00:12:03,050 --> 00:12:11,810 Jason does not use whitespace For instance earlier in the section figure on a bow of the screenshot 110 00:12:11,820 --> 00:12:12,100 one. 111 00:12:12,230 --> 00:12:22,040 Jason object with three key value pairs with what space taking five lines however stored in a file or 112 00:12:22,040 --> 00:12:23,710 send over and network. 113 00:12:23,720 --> 00:12:28,460 The Jason will look like as the low of the screen. 114 00:12:28,460 --> 00:12:35,830 Most of the tools you might use when working with Jason will let you toggle from our printed format 115 00:12:36,080 --> 00:12:42,150 which is good for humans to air rare round format which is good for computers. 116 00:12:42,260 --> 00:12:50,840 You might see the printed version literally called pretty or a bit of white or spaced while the version 117 00:12:50,840 --> 00:12:55,850 with no extra whitespace might be called meaning fight or ROF. 12374

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