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mirror of https://github.com/neon-mmd/websurfx.git synced 2024-11-22 05:58:21 -05:00

feat: implement async multithreading and engine selection code

This commit is contained in:
neon_arch 2023-07-11 19:44:38 +03:00
parent 897ab0807f
commit 0781385393

View File

@ -3,15 +3,20 @@
use std::{collections::HashMap, time::Duration};
use error_stack::Report;
use rand::Rng;
use tokio::join;
use tokio::task::JoinHandle;
use super::{
aggregation_models::{RawSearchResult, SearchResult, SearchResults},
user_agent::random_user_agent,
};
use crate::engines::{duckduckgo, searx};
use crate::engines::{
duckduckgo,
engine_models::{EngineError, SearchEngine},
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
@ -37,10 +42,11 @@ use crate::engines::{duckduckgo, searx};
/// function in either `searx` or `duckduckgo` or both otherwise returns a `SearchResults struct`
/// containing appropriate values.
pub async fn aggregate(
query: &str,
query: String,
page: u32,
random_delay: bool,
debug: bool,
upstream_search_engines: Vec<String>,
) -> Result<SearchResults, Box<dyn std::error::Error>> {
let user_agent: String = random_user_agent();
let mut result_map: HashMap<String, RawSearchResult> = HashMap::new();
@ -53,28 +59,59 @@ pub async fn aggregate(
}
// fetch results from upstream search engines simultaneously/concurrently.
let (ddg_map_results, searx_map_results) = join!(
duckduckgo::results(query, page, &user_agent),
searx::results(query, page, &user_agent)
let search_engines: Vec<Box<dyn SearchEngine>> = upstream_search_engines
.iter()
.map(|engine| match engine.to_lowercase().as_str() {
"duckduckgo" => Box::new(duckduckgo::DuckDuckGo) as Box<dyn SearchEngine>,
"searx " => Box::new(searx::Searx) as Box<dyn SearchEngine>,
})
.collect();
let tasks: Vec<JoinHandle<Result<HashMap<String, RawSearchResult>, Report<EngineError>>>> =
search_engines
.iter()
.map(|search_engine| {
tokio::spawn(search_engine.results(query.clone(), page, user_agent.clone()))
})
.collect();
let mut outputs = Vec::with_capacity(search_engines.len());
for task in tasks {
outputs.push(task.await.ok())
}
let mut initial: bool = true;
let mut counter: usize = 0;
outputs.iter().for_each(|results| {
if initial {
match results {
Some(result) => {
let new_result = result.clone();
result_map.extend(new_result.as_ref().unwrap().clone());
counter += 1;
initial = false
}
None => {
if debug {
log::error!(
"Error fetching results from {}",
upstream_search_engines[counter]
);
let ddg_map_results = ddg_map_results.unwrap_or_else(|e| {
if debug {
log::error!("Error fetching results from DuckDuckGo: {:?}", e);
};
counter += 1
}
HashMap::new()
});
let searx_map_results = searx_map_results.unwrap_or_else(|e| {
if debug {
log::error!("Error fetching results from Searx: {:?}", e);
}
HashMap::new()
});
result_map.extend(ddg_map_results);
searx_map_results.into_iter().for_each(|(key, value)| {
} else {
match results {
Some(result) => {
let new_result = result.clone();
new_result
.as_ref()
.unwrap()
.clone()
.into_iter()
.for_each(|(key, value)| {
result_map
.entry(key)
.and_modify(|result| {
@ -89,6 +126,20 @@ pub async fn aggregate(
)
});
});
counter += 1
}
None => {
if debug {
log::error!(
"Error fetching results from {}",
upstream_search_engines[counter]
);
};
counter += 1
}
}
}
});
Ok(SearchResults::new(
result_map