You are an expert in writing code in many different languages. Your goal is to perform code completion for the following code, keeping in mind the rest of the code and the file meta data.
    Metadata details:
    filename: search_preindexed.rs
    path of file: ./repos/stract/crates/core/examples
    
    the code of the file until where you have to start completion: use optics::HostRankings;
use rand::seq::SliceRandom;
use stract::{
    bangs::Bangs,
    config::{
        ApiConfig, ApiThresholds, CollectorConfig, CorrectionConfig, LLMConfig, SnippetConfig,
        WidgetsConfig,
    },
    image_store::Image,
    index::Index,
    inverted_index::RetrievedWebpage,
    ranking::{inbound_similarity::InboundSimilarity, pipeline::PrecisionRankingWebpage},
    searcher::{api::ApiSearcher, live::LiveSearcher, LocalSearcher, SearchQuery, ShardId},
    Result,
};
struct Searcher(LocalSearcher<Index>);

impl stract::searcher::distributed::SearchClient for Searcher {
    async fn search_initial(
        &self,
        query: &SearchQuery,
    ) -> Vec<stract::searcher::InitialSearchResultShard> {
        let res = self.0.search_initial(query, true).unwrap();

        vec![stract::searcher::InitialSearchResultShard {
            local_result: res,
            shard: ShardId::new(0),
        }]
    }

    async fn retrieve_webpages(
        &self,
        top_websites: &[(usize, stract::searcher::ScoredWebpagePointer)],
        query: &str,
    ) -> Vec<(usize, stract::ranking::pipeline::PrecisionRankingWebpage)> {
        let pointers = top_websites
            .iter()
            .map(|(_, p)| p.website.pointer.clone())
            .collect::<Vec<_>>();

        let res = self
            .0
            .retrieve_websites(&pointers, query)
            .unwrap()
            .into_iter()
            .zip(top_websites.iter().map(|(i, p)| (*i, p.website.clone())))
            .map(|(ret, (i, ran))| (i, PrecisionRankingWebpage::new(ret, ran)))
            .collect::<Vec<_>>();

        res
    }

    async fn get_webpage(&self, url: &str) -> Result<Option<RetrievedWebpage>> {
        Ok(self.0.get_webpage(url))
    }

    async fn get_homepage_descriptions(
        &self,
        urls: &[url::Url],
    ) -> std::collections::HashMap<url::Url, String> {
        let mut res
    
pub async fn main() {
    let index = Index::open("data/index").unwrap();

    let collector_conf = CollectorConfig {
        ..Default::default()
    };

    let config = ApiConfig {
        queries_csv_path: "data/queries_us.csv".to_string(),
        host: "0.0.0.0:8000".parse().unwrap(),
        prometheus_host: "0.0.0.0:8001".parse().unwrap(),
        crossencoder_model_path: None,
        lambda_model_path: None,
        dual_encoder_model_path: None,
        spell_checker_path: Some("data/web_spell".to_string()),
        bangs_path: "data/bangs.json".to_string(),
        summarizer_path: "data/summarizer".to_string(),
        query_store_db_host: None,
        cluster_id: "api".to_string(),
        gossip_seed_nodes: None,
        gossip_addr: "0.0.0.0:8002".parse().unwrap(),
        collector: collector_conf.clone(),
        thresholds: ApiThresholds::default(),
        widgets: WidgetsConfig {
            thesaurus_paths: vec!["data/english-wordnet-2022-subset.ttl".to_string()],
            calculator_fetch_currencies_exchange: false,
        },
        correction_config: CorrectionConfig::default(),
        llm: LLMConfig {
            api_base: "http://localhost:4000/v1".to_string(),
            model: "data/mistral-7b-instruct-v0.2.Q4_K_M.gguf".to_string(),
            api_key: None,
        },
    };

    let mut queries = stract::autosuggest::Autosuggest::load_csv(&config.queries_csv_path)
        .unwrap()
        .all()
        .unwrap();

    queries.shuffle(&mut rand::thread_rng());

    let mut searcher = LocalSearcher::new(index);
    searcher.set_inbound_similarity(
        InboundSimilarity::open("data/centrality/inbound_similarity").unwrap(),
    );
    searcher.set_collector_config(collector_conf);
    searcher.set_snippet_config(SnippetConfig {
        num_words_for_lang_detection: Some(250),
        max_considered_words: Some(10_000),
        ..Default::default()
    });
    let bangs = Bangs::from_path(&config.bangs_path);

    let searcher = Searcher(searcher);

    let searcher: ApiSearcher<Searcher, LiveSearcher> =
        ApiSearcher::new(searcher, None, None, None, None, bangs, config);

    for query in &queries {
        let mut desc = "search '".to_string();
        desc.push_str(query);
        desc.push('\'');

        println!("{desc}");

        searcher
            .search(&SearchQuery {
                query: query.to_string(),
                host_rankings: Some(HostRankings {
                    liked: vec![],
                    disliked: vec![],
                    blocked: vec![],
                }),
                ..Default::default()
            })
            .await
            .unwrap();
    }
}