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https://github.com/neon-mmd/websurfx.git
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✨ feat: implement async multithreading and engine selection code
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897ab0807f
commit
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@ -3,15 +3,20 @@
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use std::{collections::HashMap, time::Duration};
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use error_stack::Report;
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use rand::Rng;
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use tokio::join;
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use tokio::task::JoinHandle;
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use super::{
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aggregation_models::{RawSearchResult, SearchResult, SearchResults},
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user_agent::random_user_agent,
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};
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use crate::engines::{duckduckgo, searx};
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use crate::engines::{
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duckduckgo,
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engine_models::{EngineError, SearchEngine},
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searx,
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};
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/// A function that aggregates all the scraped results from the above upstream engines and
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/// then removes duplicate results and if two results are found to be from two or more engines
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@ -37,10 +42,11 @@ use crate::engines::{duckduckgo, searx};
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/// function in either `searx` or `duckduckgo` or both otherwise returns a `SearchResults struct`
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/// containing appropriate values.
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pub async fn aggregate(
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query: &str,
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query: String,
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page: u32,
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random_delay: bool,
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debug: bool,
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upstream_search_engines: Vec<String>,
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) -> Result<SearchResults, Box<dyn std::error::Error>> {
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let user_agent: String = random_user_agent();
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let mut result_map: HashMap<String, RawSearchResult> = HashMap::new();
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@ -53,41 +59,86 @@ pub async fn aggregate(
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}
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// fetch results from upstream search engines simultaneously/concurrently.
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let (ddg_map_results, searx_map_results) = join!(
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duckduckgo::results(query, page, &user_agent),
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searx::results(query, page, &user_agent)
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);
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let search_engines: Vec<Box<dyn SearchEngine>> = upstream_search_engines
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.iter()
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.map(|engine| match engine.to_lowercase().as_str() {
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"duckduckgo" => Box::new(duckduckgo::DuckDuckGo) as Box<dyn SearchEngine>,
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"searx " => Box::new(searx::Searx) as Box<dyn SearchEngine>,
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})
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.collect();
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let ddg_map_results = ddg_map_results.unwrap_or_else(|e| {
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if debug {
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log::error!("Error fetching results from DuckDuckGo: {:?}", e);
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}
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HashMap::new()
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});
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let searx_map_results = searx_map_results.unwrap_or_else(|e| {
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if debug {
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log::error!("Error fetching results from Searx: {:?}", e);
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}
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HashMap::new()
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});
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result_map.extend(ddg_map_results);
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searx_map_results.into_iter().for_each(|(key, value)| {
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result_map
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.entry(key)
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.and_modify(|result| {
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result.add_engines(value.clone().engine());
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let tasks: Vec<JoinHandle<Result<HashMap<String, RawSearchResult>, Report<EngineError>>>> =
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search_engines
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.iter()
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.map(|search_engine| {
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tokio::spawn(search_engine.results(query.clone(), page, user_agent.clone()))
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})
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.or_insert_with(|| -> RawSearchResult {
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RawSearchResult::new(
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value.title.clone(),
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value.visiting_url.clone(),
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value.description.clone(),
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value.engine.clone(),
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)
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});
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.collect();
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let mut outputs = Vec::with_capacity(search_engines.len());
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for task in tasks {
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outputs.push(task.await.ok())
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}
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let mut initial: bool = true;
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let mut counter: usize = 0;
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outputs.iter().for_each(|results| {
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if initial {
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match results {
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Some(result) => {
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let new_result = result.clone();
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result_map.extend(new_result.as_ref().unwrap().clone());
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counter += 1;
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initial = false
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}
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None => {
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if debug {
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log::error!(
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"Error fetching results from {}",
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upstream_search_engines[counter]
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);
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};
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counter += 1
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}
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}
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} else {
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match results {
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Some(result) => {
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let new_result = result.clone();
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new_result
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.as_ref()
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.unwrap()
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.clone()
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.into_iter()
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.for_each(|(key, value)| {
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result_map
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.entry(key)
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.and_modify(|result| {
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result.add_engines(value.clone().engine());
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})
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.or_insert_with(|| -> RawSearchResult {
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RawSearchResult::new(
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value.title.clone(),
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value.visiting_url.clone(),
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value.description.clone(),
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value.engine.clone(),
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)
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});
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});
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counter += 1
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}
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None => {
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if debug {
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log::error!(
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"Error fetching results from {}",
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upstream_search_engines[counter]
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);
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};
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counter += 1
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}
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}
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}
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});
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Ok(SearchResults::new(
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