NOTE This file was generated by Descript 1 00:00:00,000 --> 00:00:01,500 Hi guys and welcome back. 2 00:00:01,560 --> 00:00:02,160 In this video. 3 00:00:02,219 --> 00:00:06,000 We're going to start retrieving our entries from MongoDB so that we're no 4 00:00:06,000 --> 00:00:08,670 longer using the Python list at all. 5 00:00:08,819 --> 00:00:09,569 Let's get started. 6 00:00:10,036 --> 00:00:12,796 Also, I suggested in the last video that you try this on your own. 7 00:00:12,796 --> 00:00:15,496 And I would really recommend you do that, if you haven't already. 8 00:00:16,017 --> 00:00:18,746 The first thing I'm going to do is I'm going to hide that down a bit there 9 00:00:18,746 --> 00:00:22,342 so we have a bit more room, and then we're going to think about where we're 10 00:00:22,342 --> 00:00:25,662 going to put our find from MongoDB. 11 00:00:26,146 --> 00:00:29,686 The first thing to do is to delete the entries.append in there. 12 00:00:30,046 --> 00:00:34,936 And then look at where we're getting our data from, in this code here. 13 00:00:36,046 --> 00:00:40,846 We've got the entries list and that list is being accessed only in here. 14 00:00:41,306 --> 00:00:45,183 So this is really the query to our data storage. 15 00:00:45,583 --> 00:00:48,703 What we want to do is where we're accessing our data storage. 16 00:00:48,733 --> 00:00:51,193 We want to replace that for our new data storage. 17 00:00:51,303 --> 00:00:57,063 Here we will do app.db.entries.find and we'd put everything. 18 00:00:57,393 --> 00:00:59,743 So that is going to find all the entries in MongoDB. 19 00:00:59,743 --> 00:01:03,153 It's going to give it back to us as a list of dictionaries. 20 00:01:03,661 --> 00:01:07,111 And we're going to then use them to create our tuples. 21 00:01:07,598 --> 00:01:10,898 I just said list of dictionaries and that's not strictly true. 22 00:01:11,108 --> 00:01:14,918 It is actually a Cursor object but it behaves very much like a list. 23 00:01:14,918 --> 00:01:20,198 So for all intents and purposes, and for now, that is a valid thing to say. 24 00:01:20,601 --> 00:01:23,271 We've got basically a list of entries. 25 00:01:23,781 --> 00:01:27,021 What we want to do is we want to turn them into this tuple that 26 00:01:27,021 --> 00:01:28,431 we're using in our template. 27 00:01:29,066 --> 00:01:33,746 Entry zero is the entry content, so we'll replace that for content. 28 00:01:34,106 --> 00:01:37,616 Entry one is the entry date so we replaced that for date. 29 00:01:37,976 --> 00:01:41,366 And here we're using entry one as well and that is the date too. 30 00:01:41,816 --> 00:01:45,696 Notice that these are strings so they still behave in the same way that they 31 00:01:45,696 --> 00:01:48,246 did when we were saving them to our list. 32 00:01:48,743 --> 00:01:52,373 Now I'll delete that from there and we can try this out. 33 00:01:52,373 --> 00:01:54,113 So let me restart my app. 34 00:01:54,611 --> 00:01:57,673 Go over to the website and refresh the page and this 35 00:01:57,673 --> 00:01:59,593 entry here should stay there. 36 00:02:00,079 --> 00:02:00,649 And it does. 37 00:02:00,679 --> 00:02:02,329 So let's add another one. 38 00:02:02,887 --> 00:02:03,897 I've written an entry there. 39 00:02:04,327 --> 00:02:06,637 Now I'm retrieving data from MongoDB as well. 40 00:02:06,697 --> 00:02:07,537 How awesome is that? 41 00:02:07,657 --> 00:02:10,387 Because it's in the cloud, it's not even in your computer. 42 00:02:10,627 --> 00:02:13,987 Let's add that entry there and you can see that it comes back as well. 43 00:02:14,317 --> 00:02:19,297 Let's go over to MongoDB Compass and make sure that it shows up there as well. 44 00:02:19,676 --> 00:02:20,526 I'm here in Compass. 45 00:02:20,546 --> 00:02:23,786 I'll click refresh and you can see that it does appear. 46 00:02:23,846 --> 00:02:29,756 So clearly our app is connected to MongoDB in both inserting and retrieving data. 47 00:02:30,503 --> 00:02:30,833 All right. 48 00:02:30,883 --> 00:02:32,743 That's everything for this video. 49 00:02:32,833 --> 00:02:34,393 How awesome is that? 50 00:02:34,453 --> 00:02:38,533 You've now stored and retrieved data from MongoDB in the cloud. 51 00:02:38,923 --> 00:02:40,813 And you can do this for any of your Python apps. 52 00:02:40,813 --> 00:02:42,673 It doesn't even have to be a Flask app. 53 00:02:42,953 --> 00:02:48,023 You can use pymongo on any command line Python application you create as well. 54 00:02:48,083 --> 00:02:50,333 If you want to just store and retrieve data. 55 00:02:50,693 --> 00:02:52,643 So you can see it's really that simple. 56 00:02:52,823 --> 00:02:56,093 You insert your documents into your collection and you find them. 57 00:02:56,423 --> 00:02:59,903 And we're going to look into how to find other types of documents 58 00:02:59,903 --> 00:03:04,043 as well, using MongoDB queries as we go along the course too. 59 00:03:04,557 --> 00:03:04,887 All right. 60 00:03:04,887 --> 00:03:05,997 Thank you very much for joining me. 61 00:03:06,087 --> 00:03:07,467 I'll see you in the next one.