[−][src]Struct egg_mode::user::UserSearch
Represents an active user search.
This struct is returned by search
and is meant to be used as a Stream
. That means all
the Stream adaptors are available:
use futures::{Stream, StreamExt, TryStreamExt}; egg_mode::user::search("rustlang", &token).take(10).try_for_each(|resp| { println!("{}", resp.screen_name); futures::future::ready(Ok(())) }).await.unwrap();
You can even collect the results, letting you get one set of rate-limit information for the entire search setup:
use futures::{Stream, StreamExt, TryStreamExt}; use egg_mode::Response; use egg_mode::user::TwitterUser; use egg_mode::error::Error; // Because Streams don't have a FromIterator adaptor, we load all the responses first, then // collect them into the final Vec let names: Result<Vec<TwitterUser>, Error> = egg_mode::user::search("rustlang", &token) .take(10) .try_collect::<Vec<_>>() .await .map(|res| res.into_iter().collect());
UserSearch
has a couple adaptors of its own that you can use before consuming it.
with_page_size
will let you set how many users are pulled in with a single network call, and
start_at_page
lets you start your search at a specific page. Calling either of these after
starting iteration will clear any current results.
The Stream
implementation yields Response<TwitterUser>
on a successful iteration, and
Error
for errors, so network errors, rate-limit errors and other issues are passed directly
through in poll()
. The Stream
implementation will allow you to poll again after an error to
re-initiate the late network call; this way, you can wait for your network connection to return
or for your rate limit to refresh and try again from the same position.
Manual paging
The Stream
implementation works by loading in a page of results (with size set by default or
by with_page_size
/the page_size
field) when it's polled, and serving the individual
elements from that locally-cached page until it runs out. This can be nice, but it also means
that your only warning that something involves a network call is that the stream returns
Poll::Pending
, by which time the network call has already started. If you want to know
that ahead of time, that's where the call()
method comes in. By using call()
, you can get
a page of results directly from Twitter. With that you can iterate over the results and page
forward and backward as needed:
let mut search = egg_mode::user::search("rustlang", &token).with_page_size(20); let resp = search.call().await.unwrap(); for user in resp.response { println!("{} (@{})", user.name, user.screen_name); } search.page_num += 1; let resp = search.call().await.unwrap(); for user in resp.response { println!("{} (@{})", user.name, user.screen_name); }
Fields
page_num: i32
The current page of results being returned, starting at 1.
page_size: i32
The number of user records per page of results. Defaults to 10, maximum of 20.
Methods
impl UserSearch
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pub fn with_page_size(self, page_size: i32) -> Self
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Sets the page size used for the search query.
Calling this will invalidate any current search results, making the next call to next()
perform a network call.
pub fn start_at_page(self, page_num: i32) -> Self
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Sets the starting page number for the search query.
The search method begins numbering pages at 1. Calling this will invalidate any current
search results, making the next call to next()
perform a network call.
pub fn call(&self) -> impl Future<Output = Result<Response<Vec<TwitterUser>>>>
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Performs the search for the current page of results.
This will automatically be called if you use the UserSearch
as an iterator. This method is
made public for convenience if you want to manage the pagination yourself. Remember to
change page_num
between calls.
Trait Implementations
impl Stream for UserSearch
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Auto Trait Implementations
impl !RefUnwindSafe for UserSearch
impl !Send for UserSearch
impl !Sync for UserSearch
impl Unpin for UserSearch
impl !UnwindSafe for UserSearch
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f: F
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