Update 450-api-versioning.txt

Author: manikanta-hitunik-com

transcripts/450-api-versioning.txt

@@ -8,7 +8,7 @@
 
 00:00:12 Now what?
 
-00:00:13 That's the conversation I dive into over the next hour with Stanislav Samiv.
+00:00:13 That's the conversation I dive into over the next hour with Stanislav Zmiev
 
 00:00:17 We're talking about versioning APIs on this, the 450th episode of Talk Python to Me,
 
@@ -214,23 +214,23 @@
 
 00:06:46 But then my other projects, the ones that I maintain, are way cooler.
 
-00:06:50 For example, Bidentic Duality enables you to have multiple versions of your Bidentic models
+00:06:50 For example, Pydantic Duality enables you to have multiple versions of your Pydantic models
 
 00:06:57 for almost free in terms of performance and without any code generation.
 
-00:07:02 And CADWIN, the project we're going to be discussing today, implements, I guess, the fullest
+00:07:02 And CADWYN, the project we're going to be discussing today, implements, I guess, the fullest
 
 00:07:08 and most sophisticated API versioning paradigm there is at this point.
 
 00:07:12 - Excellent, yeah.
 
-00:07:13 - A lot of cool stuff. - Bidentic Duality looks, yeah, Bidentic Duality looks really, really cool.
+00:07:13 - A lot of cool stuff. - Pydantic Duality looks, yeah, Pydantic Duality looks really, really cool.
 
 00:07:17 So a lot of neat stuff here.
 
 00:07:19 A lot of different ways people might know about you.
 
-00:07:21 So yeah, CADWIN's the one we're gonna be focusing on for here.
+00:07:21 So yeah, CADWYN's the one we're gonna be focusing on for here.
 
 00:07:25 So let's start with talking about APIs.
 
@@ -668,7 +668,7 @@
 
 00:21:20 Visit talkpython.fm/neo4j to get started.
 
-00:21:25 That's talkpython.fm/neo, the number four, and the letter J.
+00:21:25 That's talkpython.fm/neo4j, the number four, and the letter J.
 
 00:21:30 Thank you to Neo4j for supporting Talk Python to Me.
 
@@ -1208,7 +1208,7 @@
 
 00:38:34 who just wanna learn how to do API versioning, but failed to find any resources.
 
-00:38:39 So Katwin also becomes this, I guess, hub for API versioning resources and anything related to them.
+00:38:39 So Cadwyn also becomes this, I guess, hub for API versioning resources and anything related to them.
 
 00:38:46 - It seems like it would probably be pretty easy to adapt to anything that uses Pydantic
 
@@ -1276,13 +1276,13 @@
 
 00:40:53 So some good questions, but I think they'll be somewhat answered if we just maybe talk us through your tutorial here.
 
-00:41:02 Like how do we use Kadwin and how does it manifest?
+00:41:02 Like how do we use Cadwyn and how does it manifest?
 
 00:41:06 How does it work at runtime?
 
 00:41:07 Stuff like that.
 
-00:41:08 - First, before using Kadwin, you know, you write your regular app, but then you just structure it a little bit differently.
+00:41:08 - First, before using Cadwyn, you know, you write your regular app, but then you just structure it a little bit differently.
 
 00:41:13 When you are versioning, you need a directory that you will consider versioned.
 
@@ -1314,7 +1314,7 @@
 
 00:42:13 The, if you take a look, we have a versioned API router.
 
-00:42:17 Then you use the Kadwin versioned app.
+00:42:17 Then you use the Cadwyn versioned app.
 
 00:42:20 You generate version routers, and then it's going to generate a really nice swagger for them.
 
@@ -1336,7 +1336,7 @@
 
 00:42:55 field addresses didn't exist.
 
-00:42:57 - You have a user object, which is a pedantic model.
+00:42:57 - You have a user object, which is a pydantic model.
 
 00:43:00 The user object in version, the initial version, just had a field called address, which was a string.
 
@@ -1354,7 +1354,7 @@
 
 00:43:30 - You simply describe how do you migrate your schemas?
 
-00:43:32 How do you change your schema classes, your pedantic models?
+00:43:32 How do you change your schema classes, your pydantic models?
 
 00:43:36 And then you describe how you convert your requests and response, and that's it.
 
@@ -1454,7 +1454,7 @@
 
 00:46:36 Is it passed as a, is the version passed as a header, it's a query string, part of the URL?
 
-00:46:41 - The version is passed as a header and Cadwin by default requires it to be.
+00:46:41 - The version is passed as a header and Cadwyn by default requires it to be.
 
 00:46:47 But if you have some developer portal, if you want to store your version in some database,
 
@@ -1524,7 +1524,7 @@
 
 00:48:57 And then at some point, use this core to build more Kadwins, you know?
 
-00:49:01 Kadwin Django, Kadwin Flask, whatever.
+00:49:01 Cadwyn Django, Kadwin Flask, whatever.
 
 00:49:03 Or it doesn't even have to be a part of Kadwin.
 
@@ -1576,11 +1576,11 @@
 
 00:50:52 but they still, most of the time, work with untyped code, which essentially can lead to many errors.
 
-00:50:57 Kadwin tries to make sure that you still work with your schemas, you still know which schema you work with,
+00:50:57 Cadwyn tries to make sure that you still work with your schemas, you still know which schema you work with,
 
 00:51:03 it's always the latest.
 
-00:51:05 And Kadwin tries to make sure that you're not going to have any type errors
+00:51:05 And Cadwyn tries to make sure that you're not going to have any type errors
 
 00:51:11 if you don't want to, and you're going to have all of the niceties of having this dynamic request response conversion thing.
 
@@ -1678,7 +1678,7 @@
 
 00:54:08 It's an amazing library and you don't need anything else.
 
-00:54:12 CADWIN is for use cases where you need to keep a larger number of versions,
+00:54:12 CADWYN is for use cases where you need to keep a larger number of versions,
 
 00:54:18 or if the changes between your versions are much trickier.
 
@@ -1780,7 +1780,7 @@
 
 00:56:33 And it remains unchanged basically, right?
 
-00:56:35 - Kadwin tries to escape this kind of verbosity.
+00:56:35 - Cadwyn tries to escape this kind of verbosity.
 
 00:56:39 And essentially you have all endpoints everywhere.
 
@@ -1834,7 +1834,7 @@
 
 00:57:44 You know, before we wrap it up, two quick things, you know, notable PyPI package.
 
-00:57:49 I mean, we've already given Kadwin a shout out.
+00:57:49 I mean, we've already given Cadwyn a shout out.
 
 00:57:51 Anything else that like, oh, I came across this and it was super cool.
 
@@ -1844,7 +1844,7 @@
 
 00:57:59 - For us in our company, we started using one more package of mine.
 
-00:58:04 It's called ByteTest fixture classes.
+00:58:04 It's called PyTest fixture classes.
 
 00:58:06 - Okay. - Essentially, when you are building groups of fixtures that create some objects for you,
 
@@ -1854,7 +1854,7 @@
 
 00:58:21 - Yeah.
 
-00:58:22 - A factory fixture pattern that you can see in ByteTest allows you to, you know, make a function within a function
+00:58:22 - A factory fixture pattern that you can see in PyTest allows you to, you know, make a function within a function
 
 00:58:29 and one of them is a fixture and that's all cool and nice, but then it's not typed.
 
@@ -1864,7 +1864,7 @@
 
 00:58:41 And otherwise you can write a protocol and it's a lot of code.
 
-00:58:45 What ByteTest fixture classes does is it allows you to type everything there.
+00:58:45 What PyTest fixture classes does is it allows you to type everything there.
 
 00:58:50 So you write the same amount of code, but it's all typed and now you have,
 
@@ -1896,19 +1896,19 @@
 
 00:59:36 only for your internal microservices or only for your front end, then consider using the simple tools.
 
-00:59:44 Consider using the FastAPI versioning, you know, Flask, Raybar, things like that.
+00:59:44 Consider using the FastAPI versioning, you know, Flask, Rebar, things like that.
 
 00:59:49 But then once you realize that you need to support versions for months and you need three or more versions
 
 00:59:56 and you're providing your versions as a public, you know, to the public,
 
-01:00:01 then I advise moving straight into CADWIN or CADWIN-like frameworks.
+01:00:01 then I advise moving straight into CADWYN or CADWYN-like frameworks.
 
-01:00:06 If you use FastAPI, you can just use CADWIN.
+01:00:06 If you use FastAPI, you can just use CADWYN.
 
 01:00:08 It has a bit of a learning curve, but within making one version, you will realize just how simple it is.
 
-01:00:14 And if you're not using CADWIN, that's fine as well.
+01:00:14 And if you're not using CADWYN, that's fine as well.
 
 01:00:17 I have all of the resources that I used to build it and all of the resources, you know,
 
@@ -1995,4 +1995,3 @@
 01:02:25 (upbeat music)
 
 01:02:43 Thank you for watching.
-