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Activity
6:37Hooking everything up inside the HourlyForecastActivty class.
With our adapter and ViewHolder in place,
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we can head back to HourlyForecastActivity
and finishing hooking everything together.
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We'll also need to create a constructor
in our hour data model for us to use.
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Let's head over to UI,
HourlyForecastActivity.
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There's some errors here.
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We can delete all of this code leftover
from the bits that we deleted in
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the design earlier.
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Collapse our imports to give us some room.
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To start here, we need private adapter and
binding variables to use.
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So we'll do a private, HourlyAdapter,
we'll call it adapter.
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We need a private
ActivityHourlyForecastBinding.
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And we'll call it binding.
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Sometimes that import for
the binding variable doesn't come
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through with Android Studio and
we need to import it manually.
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Import, stormy.databinding,
and there it is.
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Inside onCreate, we'll set up our
data binding, layout manager and
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connect everything to the adapter.
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We'll start with binding
the data to our activity layout.
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Binding, we'll use the DataBindingUtil.
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We will set the ContentView,
the activity is this,
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and the layout is our
activity_hourly_forecast.
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Next we define our adapter.
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So new HourlyAdapter,
recall that this takes two parameters,
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a list of hours and the context.
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We'll pass in a function that
we'll create to get the hours.
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For a function it will be getHourData and
our context is this.
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We'll come back to that method in just
a bit, let's finish with the bindings.
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We add the binding information to
the relative layout that we have in our
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activity, now what did we call that again?
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Let's go take a look.
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So in resources, and
layout, here's our layout.
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I didn't set an ID here,
let's call it hourly_list_items.
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We can set an adapter to that.
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It looks like I forgot one other thing
here in this layout, the background color.
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Our list items are white and
our overall constraint layout is white.
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That will definitely make it hard to see.
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Let's update our background color.
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So our constraint layout, background,
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color, And
we want the app background here.
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All right, now back to
HourlyForecastActivity to set the adapter.
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We do binding,
hourlyListItems, there it is,
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and set the adapter and
we pass in the adapter.
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Now we need to set a LayoutManager.
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So we're gonna bind the hourlyListItems,
we'll set the LayoutManager,
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To be a new LinearLayout and
we'll pass in this.
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Let's address our getHourData method now.
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We click in the method name and we can use
our quick fix to create the new method.
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Add some space here, so
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this method will allow us to produce
a list of hour data from the hour model.
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First though, let's update our hour model
with some constructors for us to use.
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So here in weather, we'll go to hour.
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Here in hour,
we'll generate our constructors.
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So Code > Generate > Constructor.
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We need one where we
don't select anything.
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And we need one where
we select everything.
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Great, let's head back over
to HourlyForecastActivity.
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This getHourData method, and
the data we have defined in this video,
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will just be for testing.
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But I think it's a good exercise, even if
we wind up getting rid of it later on.
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It will allow us to double check that
things are working with some sample data.
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Let's take a quick look at
our JSON from Dark Sky again.
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We're looking to see what data format
we're getting to add to our sample data.
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Inside the hourly and data object,
we see the data we're getting.
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Inside our getHourData method,
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we can create a quick list of
sample data to check things out.
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So inside here, we need a list Hour,
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we'll call it hours.
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And it'll be a new array list.
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I'll add several hours in here for
test data.
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It's a lot of mundane typing, and we won't
be keeping this code in the project.
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As such, I've put it in the teacher's
notes for you to just cut and paste.
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Now we just need to return hours.
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And finally, we can run our app again.
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If we click on our Hourly button,
There's our list of data.
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It looks like there
are a few issues though.
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The numbers aren't formatted properly and
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all of the icons are the same,
regardless of the icon name.
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Let's fix those up in the next video and
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then connect the data to
our Dark Sky data source.
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