neon_arch
Refactoring code and separating code into files for better maintainability
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use std::collections::HashMap;
use super::{
aggregation_models::{RawSearchResult, SearchResult, SearchResults},
user_agent::random_user_agent,
};
use crate::engines::{duckduckgo, searx};
// A function that aggregates all the scraped results from the above upstream engines and
// then removes duplicate results and if two results are found to be from two or more engines
// then puts their names together to show the results are fetched from these upstream engines
// and then removes all data from the HashMap and puts into a struct of all results aggregated
// into a vector and also adds the query used into the struct this is neccessory because otherwise
// the search bar in search remains empty if searched from the query url
//
// For Example:
//
// If you search from the url like *https://127.0.0.1/search?q=huston* then the search bar should
// contain the word huston and not remain empty.
pub async fn aggregate(
query: &str,
page: Option<u32>,
) -> Result<SearchResults, Box<dyn std::error::Error>> {
let user_agent: String = random_user_agent();
let mut result_map: HashMap<String, RawSearchResult> = HashMap::new();
let ddg_map_results: HashMap<String, RawSearchResult> =
duckduckgo::results(query, page, &user_agent).await?;
let searx_map_results: HashMap<String, RawSearchResult> =
searx::results(query, page, &user_agent).await?;
result_map.extend(ddg_map_results);
searx_map_results.into_iter().for_each(|(key, value)| {
result_map
.entry(key)
.and_modify(|result| {
result.add_engines(value.engine[0].clone());
})
.or_insert_with(|| -> RawSearchResult {
RawSearchResult::new(
value.title.clone(),
value.visiting_url.clone(),
value.description.clone(),
value.engine.clone(),
)
});
});
Ok(SearchResults::new(
result_map
.into_iter()
.map(|(key, value)| {
SearchResult::new(
value.title,
value.visiting_url,
key,
value.description,
value.engine,
)
})
.collect(),
query.to_string(),
))
}