Consuming HTTP Services in Python Transcripts
Chapter: XML services with requests
Lecture: Consuming XML data from an HTTP service

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0:02 Alright let's put this xml concept together with requests
0:05 and work with some real live xml data on the internet.
0:08 Real canonical case for xml these days is rss,
0:11 so we are going to go and get the rss feed from talkpython.fm,
0:15 pull back and answer a few questions about the state of the podcast.
0:20 Back over here in PyCharm I've got a new file consume_xml_service
0:25 and we are going to start by finding a way to get the data off the internet,
0:29 you can bet that that is request.
0:32 We are also going to need to work with xml itself
0:35 so we'll do a from xml.etree import ElementTree,
0:41 now we are also going to do some interesting work with dates,
0:43 and I am going to need to parse dates, and parsing dates is always super not fun,
0:47 but, we are going to use this package called python dateutil,
0:51 so check this out, I can come down here at the terminal,
0:54 and notice, that it already has the virtual environment activated, that is super cool,
0:58 so then we can say pip install python dateutil
1:03 and that is going to install it for us and from that,
1:05 we can say from dateutil.parser import parse
1:11 and this is going to allow us to parse some dates in a little bit.
1:14 Okay, everything is set up, let's add a little structure,
1:17 we'll have a little main method for now, we'll figure out what to do with that,
1:20 and like so, there we go, so first we are going to start by getting the xml,
1:25 and let's write a function this time, so we'll call it dom,
1:29 say get_xml_dom and we are going to give it url, so let's put that up here,
1:34 and this is just going to be https://talkpython.fm/rss,
1:39 okay, let's write this function rather than have PyCharm write it,
1:43 so here we are going to go and do a get,
1:45 we will get a response=request.get_url nothing fancy here,
1:49 and we probably should check the response code,
1:52 so we'll say if resp.status_code ! = 200, return none,
1:56 maybe you want to log it or something but for now we are just going to do that,
1:59 and now we are going to say dom=ElementTree.fromstring,
2:04 and we are going to give it the response.text
2:08 and we are just going to return the dom, okay so this little function here, we can put it below,
2:12 I like having the main method at the top, it kind of orchestrates everything,
2:16 so we are going to get that, we could even inline this, like so,
2:19 okay, so we want to get the dom here and then we would like to do some kind of query,
2:24 and to be honest, this really so far actually this point right here is
2:29 really whole service story and the rest of it becomes like an exercise in straight xml,
2:35 let's go ahead and run this, rss element, excellent, okay,
2:39 so the next thing we want to do is let's define an episode
2:42 and we are going to do that with my friend collection.namedtuple.
2:02 okay so I'll just throw in fields title, link and pubdate,
2:57 and then here we'll have an episode, we'll say get episodes and we'll give it the dom,
3:03 alright so this function we are also going to write and what it's going to do is given a dom,
3:07 it's going to go find all he episodes, so the way this works,
3:11 we have rss and then inside there we have this thing called the channel
3:14 and inside there we have an item for each episode,
3:18 so in xpath you don't name the top element, and we don't need the star,
3:22 we just going to get more than one back, so we'll get item nodes
3:26 it's going to be dom a find all, with some parenthesis, with some quotes,
3:31 and then let's just print out how many items we have, I think if this comes back correctly,
3:37 we should have 97, let's see, do we have 97- server says 97, fantastic.
3:42 It looks like this is working, so now what we can do is we can just return a list of episodes,
3:48 so we'll say episode of and for something, we'll say for n in item_nodes okay great,
3:56 so now we are just going to need to do some queries, we can say n.find_title,
4:03 we have link, and I think it's pubDate, it's the way they say it there and that looks good,
4:09 let's go back and get our episodes and we'll just print episodes.
4:13 Now because these are named tuples we should see the data, bam,
4:17 actually close but no cigar, so we actually found all these
4:20 but what we gave as field values is the actual nodes,
4:26 we just want the text from these.
4:28 Okay, very cool, look publish date looks reasonable, the length looks reasonable,
4:31 the title looks reasonable, super.
4:34 So there is another thing we'd like to so is like if we look at the publish date,
4:37 this is just a string in a certain format that is required in rss, it's not really time,
4:42 so that is where our parser is going to come in,
4:45 now normally parsing dates is super hard, because all of the various formats,
4:50 there is like over 700 different ways to represent dates, it's insane,
4:54 but this Python dateutils we'll try to parse them and it knows quite a bit of them,
4:58 so let's just give it a parse and see if it will take it.
5:02 Oh sweet, it's a datetime, look at that,
5:05 so we got the parsing of the date working, and yeah, that looks right to me,
5:08 let's check the next one, yeah, these are good.
5:11 Okay, so here we have our episodes and technically,
5:14 we have these episodes in reverse chronological order,
5:18 if we wanted them in another order, we could now sort on this
5:22 like suppose we want them oldest to newest, like in increasing order,
5:25 so I'll say episodes = this and then we could return sorted episodes
5:30 and then we want to give it the key it's going to be a function, a lambda function,
5:34 that takes an episode and it return the pubDate
5:38 and that will sort it the way we want it, so we should see one right here at the top,
5:44 episode zero, here we go over, episode one, episode two, perfect.
5:49 Because we were able to turn these into real dates easily,
5:52 we can actually run sort algorithms and not just do string sorting
5:56 which wouldn't really help us, okay, let's put that character down here,
6:00 do a little cleanup, okay, so now we have our episodes,
6:03 let's just print out the first three episodes, so for e in episodes,
6:08 and we are going to print out, let's print the number
6:12 and let's print out the episode title.
6:16 Now, let's do an enumerate here so we can get the index
6:21 and while normally the index would be off by one, we do want to add one to it,
6:25 my show numbers also start at zero because it's a zero based podcast,
6:29 come on, so the index itself will work perfectly and here we can say title,
6:33 and this should give us some kind of report on all of them,
6:36 let's just do the first five so we can see them on the screen.
6:40 Boom, number one, notice, number zero introducing the show,
6:44 number one- Eve, number two- Python and Mongo
6:46 and so on, and so on, how cool is that?
6:49 So, here we are, pulling live xml off of the site,
6:53 and processing it in real time using these xml techniques.