Improve Aggregation function & config parser
Refactor aggregation function Rename visiting_url to url, as they are always the same (see upstream engine scalping). Refactor parsing function to be more readable.
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8 changed files with 103 additions and 136 deletions
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@ -64,11 +64,10 @@ pub async fn aggregate(
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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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mut upstream_search_engines: Vec<String>,
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request_timeout: u8,
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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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// Add a random delay before making the request.
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if random_delay || !debug {
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@ -77,20 +76,14 @@ pub async fn aggregate(
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tokio::time::sleep(Duration::from_secs(delay_secs)).await;
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}
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// fetch results from upstream search engines simultaneously/concurrently.
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let search_engines: Vec<Box<dyn SearchEngine + Send + Sync>> = upstream_search_engines
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// create tasks for upstream result fetching
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let tasks: FutureVec = 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 + Send + Sync>,
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"searx" => Box::new(searx::Searx) as Box<dyn SearchEngine + Send + Sync>,
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&_ => panic!("Config Error: Incorrect config file option provided"),
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})
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.collect();
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let task_capacity: usize = search_engines.len();
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let tasks: FutureVec = search_engines
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.into_iter()
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.map(|search_engine| {
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let query: String = query.clone();
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let user_agent: String = user_agent.clone();
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@ -102,101 +95,67 @@ pub async fn aggregate(
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})
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.collect();
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let mut outputs = Vec::with_capacity(task_capacity);
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// get upstream responses
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let mut responses = Vec::with_capacity(tasks.len());
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for task in tasks {
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if let Ok(result) = task.await {
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outputs.push(result)
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responses.push(result)
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}
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}
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// aggregate search results, removing duplicates and handling errors the upstream engines returned
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let mut result_map: HashMap<String, RawSearchResult> = HashMap::new();
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let mut engine_errors_info: Vec<EngineErrorInfo> = Vec::new();
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// The code block `outputs.iter()` determines whether it is the first time the code is being run.
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// It does this by checking the initial flag. If it is the first time, the code selects the first
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// engine from which results are fetched and adds or extends them into the `result_map`. If the
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// initially selected engine fails, the code automatically selects another engine to map or extend
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// into the `result_map`. On the other hand, if an engine selected for the first time successfully
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// fetches results and maps them into the `result_map`, the initial flag is set to false. Subsequently,
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// the code iterates through the remaining engines one by one. It compares the fetched results from each
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// engine with the results already present in the `result_map` to identify any duplicates. If duplicate
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// results are found, the code groups them together with the name of the engine from which they were
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// fetched, and automatically removes the duplicate results from the newly fetched data.
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//
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// Additionally, the code handles errors returned by the engines. It keeps track of which engines
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// encountered errors and stores this information in a vector of structures called `EngineErrorInfo`.
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// Each structure in this vector contains the name of the engine and the type of error it returned.
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// These structures will later be added to the final `SearchResults` structure. The `SearchResults`
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// structure is used to display an error box in the UI containing the relevant information from
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// the `EngineErrorInfo` structure.
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//
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// In summary, this code block manages the selection of engines, handling of duplicate results, and tracking
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// of errors in order to populate the `result_map` and provide informative feedback to the user through the
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// `SearchResults` structure.
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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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Ok(result) => {
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result_map.extend(result.clone());
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counter += 1;
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initial = false
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let mut handle_error = |error: Report<EngineError>, engine_name: String| {
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log::error!("Engine Error: {:?}", error);
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engine_errors_info.push(EngineErrorInfo::new(
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error.downcast_ref::<EngineError>().unwrap(),
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engine_name,
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));
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};
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for _ in 0..responses.len() {
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let response = responses.pop().unwrap();
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let engine_name = upstream_search_engines.pop().unwrap();
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if result_map.is_empty() {
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match response {
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Ok(results) => {
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result_map = results.clone();
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}
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Err(error_type) => {
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log::error!("Engine Error: {:?}", error_type);
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engine_errors_info.push(EngineErrorInfo::new(
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error_type.downcast_ref::<EngineError>().unwrap(),
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upstream_search_engines[counter].clone(),
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));
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counter += 1
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Err(error) => {
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handle_error(error, engine_name.clone());
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}
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}
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} else {
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match results {
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Ok(result) => {
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result.clone().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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})
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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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Err(error_type) => {
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log::error!("Engine Error: {:?}", error_type);
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engine_errors_info.push(EngineErrorInfo::new(
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error_type.downcast_ref::<EngineError>().unwrap(),
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upstream_search_engines[counter].clone(),
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));
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counter += 1
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}
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continue;
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}
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match response {
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Ok(result) => {
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result.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(engine_name.clone());
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})
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.or_insert_with(|| -> RawSearchResult { value });
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});
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}
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Err(error) => {
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handle_error(error, engine_name.clone());
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}
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}
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});
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}
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let mut results = Vec::with_capacity(result_map.len());
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for (_, result) in result_map {
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results.push(SearchResult::from_raw(result))
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}
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Ok(SearchResults::new(
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result_map
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.into_iter()
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.map(|(key, value)| {
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SearchResult::new(
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value.title,
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value.visiting_url,
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key,
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value.description,
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value.engine,
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)
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})
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.collect(),
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results,
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query.to_string(),
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engine_errors_info,
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))
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