1 00:00:01,020 --> 00:00:07,410 Looking back in this lecture, you had to use your solitude with my crew, Python, to get the current 2 00:00:07,440 --> 00:00:12,120 weather conditions on pretty much any location on the planet. 3 00:00:12,870 --> 00:00:18,360 First of all, let's have a look around the open weather map website and show you where to find information 4 00:00:18,360 --> 00:00:19,410 about the API. 5 00:00:19,650 --> 00:00:26,280 And, of course, had to get an API key that you need in order to be authenticated with the service 6 00:00:26,280 --> 00:00:27,480 and receive data from it. 7 00:00:28,560 --> 00:00:37,320 So this is the open weather map LICHEE website, and there's a search bar here that I've just used to 8 00:00:37,320 --> 00:00:40,070 search for the weather in Sydney, Australia. 9 00:00:40,470 --> 00:00:46,980 And you can see that this is the information that comes back, a subset of this information that contains 10 00:00:46,980 --> 00:00:53,490 current weather data will be provided when you make an appropriate get request authenticated, of course, 11 00:00:53,490 --> 00:00:55,380 via an API key. 12 00:00:56,610 --> 00:01:03,330 So having a look at the various APIs that service provides and just going to go one level back so that 13 00:01:03,330 --> 00:01:06,100 you can see the richness of this service. 14 00:01:06,120 --> 00:01:13,580 So this current weather data, which is the API that will be using this hourly forecast for four days, 15 00:01:13,580 --> 00:01:21,540 a single cool API, 16 day forecast, etc, etc. So there's a load here that you can use a lot of APIs 16 00:01:21,540 --> 00:01:28,460 that you can use, including historical data and other data, etc. And some of this is free and the 17 00:01:28,530 --> 00:01:32,040 APIs paid for the one that we are using. 18 00:01:32,040 --> 00:01:35,310 This example, the current weather API is totally free. 19 00:01:35,520 --> 00:01:44,250 There is a limit of how many requests you can make per day, but that limit is quite high and I have 20 00:01:44,250 --> 00:01:45,530 never reached that actually. 21 00:01:45,900 --> 00:01:53,520 So it's a perfect way to test out making such calls to a API service like this. 22 00:01:54,180 --> 00:02:00,870 Having a look at the current weather data documentation in here, you find information on how to make 23 00:02:00,870 --> 00:02:02,430 a API call. 24 00:02:02,730 --> 00:02:04,560 So here's the API call. 25 00:02:04,560 --> 00:02:10,470 Your real ID gives you a couple of options on how to request data for a particular city. 26 00:02:10,860 --> 00:02:17,160 So here's one example where you put in the city name after the Q key value pair. 27 00:02:18,030 --> 00:02:20,280 And here's an alternative. 28 00:02:20,280 --> 00:02:29,700 We've got the city name, the state code, or you can go for city name, state code and country code. 29 00:02:30,210 --> 00:02:33,990 You've got an example here as well where I'm using this notation right there. 30 00:02:34,860 --> 00:02:39,630 So I'm passing through New York, New York State and us as the country code. 31 00:02:39,870 --> 00:02:46,620 And that is helpful if you have a city name which has synonyms around the world. 32 00:02:46,620 --> 00:02:50,370 So that could be, for example, in Athens and Georgia and in Greece. 33 00:02:50,970 --> 00:02:54,050 So you can differentiate between those in that way. 34 00:02:54,480 --> 00:03:02,610 The method I actually prefer to use to deal with these ambiguities much easier is to use the city ID 35 00:03:02,610 --> 00:03:04,010 method right there. 36 00:03:04,030 --> 00:03:10,080 So instead of using queue for the query, you're using the ID key. 37 00:03:10,470 --> 00:03:13,550 And that's the example that I've got right here. 38 00:03:13,800 --> 00:03:16,560 So I'm looking for a city with a particular idea. 39 00:03:16,590 --> 00:03:20,020 Now, how to find this ID is quite easy. 40 00:03:20,040 --> 00:03:24,060 It go to the homepage of Open with a map. 41 00:03:24,420 --> 00:03:28,770 You make a search for whichever city you're interested in and that comes back. 42 00:03:29,070 --> 00:03:35,130 If the name that you're looking for is ambiguous, it will give you a choice and you pick the one that 43 00:03:35,370 --> 00:03:36,360 suits you best. 44 00:03:36,390 --> 00:03:39,420 For example, if I look for Sydney and Click Search. 45 00:03:41,180 --> 00:03:47,090 I've got a choice of various Sidneys around the world, so go for Sydney, Australia, and you can see 46 00:03:47,090 --> 00:03:52,900 that the idea of this particular location appears up here on the euro. 47 00:03:53,120 --> 00:03:56,720 So this is a number that you can grab and use this number in your query. 48 00:03:58,130 --> 00:04:00,620 OK, there's one more thing here that is important. 49 00:04:00,630 --> 00:04:03,530 There is the open weather API key. 50 00:04:04,010 --> 00:04:12,620 So to get the key to create a free account, then go into the Mendis page and under Epic's, you can 51 00:04:12,620 --> 00:04:15,610 generate or retrieve an existing key. 52 00:04:16,190 --> 00:04:23,480 And of course, this you are real right here in the header of my example script. 53 00:04:23,480 --> 00:04:28,020 So you can quickly go there and get your own key to use for this example. 54 00:04:29,030 --> 00:04:29,800 All right. 55 00:04:30,080 --> 00:04:34,790 So that's a very I'm going to go back to the documentation and actually scroll down. 56 00:04:37,330 --> 00:04:45,160 This Jason file, which is an example of the API response and this is what comes back when you make 57 00:04:45,160 --> 00:04:53,620 a get request for a particular location and you pass your API key, and that request is successful and 58 00:04:53,620 --> 00:04:59,310 authenticated, what comes back is a fairly large chasten file with a lot of information. 59 00:04:59,650 --> 00:05:06,100 So then what you need to do is to decode this Jason file and extract the information that you need out 60 00:05:06,100 --> 00:05:06,410 of it. 61 00:05:07,330 --> 00:05:09,370 So here you see temperatures. 62 00:05:09,370 --> 00:05:11,320 I believe these are in Fahrenheit. 63 00:05:12,190 --> 00:05:21,130 You can you can change the unit used in the degree response to whatever you want. 64 00:05:21,130 --> 00:05:29,680 And you just need to use the units parameter here, standard Petrich, Imperial and muchly using. 65 00:05:31,970 --> 00:05:39,070 Units for the metric system right here, so I'm getting degrees Celsius, for example, instead of Fahrenheit, 66 00:05:39,070 --> 00:05:41,080 but they say you can make the change yourself. 67 00:05:41,800 --> 00:05:44,670 So here is the example, Jason file. 68 00:05:45,130 --> 00:05:53,260 I'm going to show you in a minute how to pinpoint and extract specific bits of data out of this chasten 69 00:05:53,260 --> 00:05:54,010 response. 70 00:05:54,010 --> 00:05:57,620 But again, as you can see, there's loads here that you can pick from. 71 00:05:58,420 --> 00:06:02,610 This is what makes this service such a good example for this lecture. 72 00:06:04,350 --> 00:06:04,960 All right. 73 00:06:05,080 --> 00:06:13,000 Now let's have a look at the actual script, importing the usual modules, as I have with the other 74 00:06:13,000 --> 00:06:21,460 examples in this set of lectures and using the same construct to open up the credentials file, setting 75 00:06:21,460 --> 00:06:24,440 the headers, as I have before, said the drill. 76 00:06:24,460 --> 00:06:27,880 I'm going for the one with the idea parameter here. 77 00:06:29,390 --> 00:06:39,340 And passing the app, I'd like this so I can grab the open with a key from the credentials file, then 78 00:06:39,340 --> 00:06:44,920 the new Connect method is identical to what you've seen in the past. 79 00:06:45,340 --> 00:06:46,330 Same thing lines. 80 00:06:46,330 --> 00:06:49,110 Seventy and seventy two are identical. 81 00:06:49,120 --> 00:06:57,280 No change is still same thing with lines and four to seventy eight just printing out the IP address 82 00:06:57,820 --> 00:07:03,400 that my wi fi network has given me in line eighty one. 83 00:07:03,550 --> 00:07:10,750 I make the request and it's just a simple get request to this eurorail up here. 84 00:07:11,970 --> 00:07:17,780 And then print out the response and because we know that the responses are chasten document, different 85 00:07:17,790 --> 00:07:26,220 payload, I just use the load's method of the Chechen war to convert this response into an object that 86 00:07:26,220 --> 00:07:31,900 then I can use Jason module notation to extract the individual components of. 87 00:07:32,520 --> 00:07:34,500 So there's one little issue here with the weather. 88 00:07:35,040 --> 00:07:41,940 Now notice that the weather key contains an array, so it does not contain a JSON document, just like, 89 00:07:42,090 --> 00:07:47,240 say, the coordinates key contains some of the adjacent document in here. 90 00:07:47,580 --> 00:07:54,380 Instead, the way the key contains an array and inside the array you've got the adjacent document. 91 00:07:54,570 --> 00:08:04,680 And for this reason, I'm using this construct here to go inside the the key and then extract the individual 92 00:08:04,680 --> 00:08:13,650 components such as Maine and description using this for in the back, whether annotation and that allows 93 00:08:13,650 --> 00:08:17,670 me to extract the keys and the values that I want out of this array. 94 00:08:17,670 --> 00:08:18,120 So. 95 00:08:20,640 --> 00:08:22,070 But for the rest, it's all straightforward. 96 00:08:22,170 --> 00:08:31,260 For example, if I want to grab the wind speed, the wind speed is let's see, where is that wind speed 97 00:08:31,360 --> 00:08:31,850 think? 98 00:08:35,950 --> 00:08:44,710 There's wind speed, you can see this speed is inside the wind key, so I'm just using the regular chasten 99 00:08:44,710 --> 00:08:48,550 notation to extract those pieces of data. 100 00:08:48,760 --> 00:08:55,650 Same thing with the wind degrees or the direction of the wind and so on. 101 00:08:55,670 --> 00:09:03,910 Some pulling out some information that I'm just able to decode and extract out of the chasten response 102 00:09:04,030 --> 00:09:08,270 that I got from the weather map, that VOYCE website. 103 00:09:09,430 --> 00:09:12,840 So let's try this out. 104 00:09:12,850 --> 00:09:21,280 I have already uploaded the credentials file to my especially to it's right there and I'm going to click 105 00:09:21,280 --> 00:09:28,210 on the script button and handed the script executed on the device. 106 00:09:28,390 --> 00:09:28,800 All right. 107 00:09:29,260 --> 00:09:29,830 So. 108 00:09:32,190 --> 00:09:39,990 Let's have a look at what's happening in New York and take that idea, just paste it right here. 109 00:09:43,920 --> 00:09:50,760 And that gives me New York City information, so let's compare the Web version of the weather in New 110 00:09:50,760 --> 00:09:53,100 York with the AP version. 111 00:09:53,340 --> 00:09:57,650 So the weather, as reported by the AP, is actually similarities. 112 00:09:57,660 --> 00:10:00,950 For example, it feels like minus four point fifty six degrees. 113 00:10:00,960 --> 00:10:04,590 We get some decimals here on the Web version. 114 00:10:04,590 --> 00:10:06,390 We only get an integer. 115 00:10:06,390 --> 00:10:07,830 So minus four degrees. 116 00:10:08,340 --> 00:10:10,470 What I can say that is pretty much the same. 117 00:10:11,580 --> 00:10:13,320 The humidity is 55 percent. 118 00:10:15,040 --> 00:10:23,860 That that matches the pressure at sea level one thousand twenty four to Pascal, that matches will. 119 00:10:25,740 --> 00:10:30,380 The there's a discrepancy in the wind speed. 120 00:10:30,430 --> 00:10:32,970 You've got two point thirty four meters per second. 121 00:10:34,120 --> 00:10:40,300 Here we've got one point five meters per second, I guess this is the direction north, which pretty 122 00:10:40,300 --> 00:10:44,340 much matches the degrees here, three forty nine degrees approximately north. 123 00:10:45,040 --> 00:10:53,260 So the current information on the website looks like this is a pretty concise and we have a lot more 124 00:10:53,260 --> 00:10:57,610 information here in the AP version for the current weather. 125 00:11:00,580 --> 00:11:09,370 One thing that I want to expand on is the temperature here we see the responses in object. 126 00:11:10,620 --> 00:11:11,910 But let's see. 127 00:11:13,910 --> 00:11:16,160 If we can print. 128 00:11:17,840 --> 00:11:25,340 The chasten version of the response, I'm just going to print with a back, see if that comes out. 129 00:11:27,420 --> 00:11:29,790 All right, so let's do a run. 130 00:11:32,860 --> 00:11:42,850 All right, and now we see the full chasten response from the AP and we can see just kind of refresh 131 00:11:42,850 --> 00:11:47,180 this page and see if we can find anything else that is interesting. 132 00:11:47,890 --> 00:11:51,790 So now the wind is two point one meters per second. 133 00:11:52,720 --> 00:11:55,370 And let's see the wind in here. 134 00:11:55,660 --> 00:11:57,850 Two point three four. 135 00:11:59,390 --> 00:12:04,670 Meters per second and still north know everything else to match it the same way we have that visibility. 136 00:12:05,570 --> 00:12:07,580 That should be reported somewhere here. 137 00:12:07,720 --> 00:12:12,770 The only good visibility, 10 kilometers or 10000 meters, it's reported in meters. 138 00:12:13,940 --> 00:12:19,100 And finally, the two point that must be reported here is Will. 139 00:12:21,560 --> 00:12:24,200 You don't see that viewpoint here, so that is missing. 140 00:12:24,980 --> 00:12:25,940 OK, I'll leave it at that. 141 00:12:26,030 --> 00:12:33,750 That's how easy it is to extract current weather information from open weather map, already leaving 142 00:12:33,800 --> 00:12:35,820 your industry to the marketplace.