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https://github.com/Xevion/banner.git
synced 2026-01-31 04:23:34 -06:00
feat: scraper system
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@@ -0,0 +1,87 @@
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pub mod scheduler;
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pub mod worker;
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use crate::banner::BannerApi;
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use sqlx::PgPool;
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use std::sync::Arc;
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use tokio::task::JoinHandle;
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use tracing::info;
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use self::scheduler::Scheduler;
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use self::worker::Worker;
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use crate::services::Service;
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/// The main service that will be managed by the application's `ServiceManager`.
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///
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/// It holds the shared resources (database pool, API client) and manages the
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/// lifecycle of the Scheduler and Worker tasks.
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pub struct ScraperService {
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db_pool: PgPool,
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banner_api: Arc<BannerApi>,
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scheduler_handle: Option<JoinHandle<()>>,
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worker_handles: Vec<JoinHandle<()>>,
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}
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impl ScraperService {
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/// Creates a new `ScraperService`.
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pub fn new(db_pool: PgPool, banner_api: Arc<BannerApi>) -> Self {
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Self {
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db_pool,
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banner_api,
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scheduler_handle: None,
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worker_handles: Vec::new(),
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}
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}
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/// Starts the scheduler and a pool of workers.
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pub fn start(&mut self) {
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info!("ScraperService starting...");
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let scheduler = Scheduler::new(self.db_pool.clone(), self.banner_api.clone());
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let scheduler_handle = tokio::spawn(async move {
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scheduler.run().await;
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});
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self.scheduler_handle = Some(scheduler_handle);
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info!("Scheduler task spawned.");
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let worker_count = 4; // This could be configurable
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for i in 0..worker_count {
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let worker = Worker::new(i, self.db_pool.clone(), self.banner_api.clone());
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let worker_handle = tokio::spawn(async move {
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worker.run().await;
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});
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self.worker_handles.push(worker_handle);
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}
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info!("Spawned {} worker tasks.", self.worker_handles.len());
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}
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/// Signals all child tasks to gracefully shut down.
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pub async fn shutdown(&mut self) {
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info!("Shutting down scraper service...");
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if let Some(handle) = self.scheduler_handle.take() {
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handle.abort();
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}
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for handle in self.worker_handles.drain(..) {
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handle.abort();
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}
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info!("Scraper service shutdown.");
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}
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}
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#[async_trait::async_trait]
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impl Service for ScraperService {
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fn name(&self) -> &'static str {
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"scraper"
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}
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async fn run(&mut self) -> Result<(), anyhow::Error> {
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self.start();
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std::future::pending::<()>().await;
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Ok(())
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}
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async fn shutdown(&mut self) -> Result<(), anyhow::Error> {
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self.shutdown().await;
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Ok(())
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}
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}
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@@ -0,0 +1,85 @@
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use crate::banner::{BannerApi, Term};
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use crate::data::models::{ScrapePriority, TargetType};
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use crate::error::Result;
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use serde_json::json;
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use sqlx::PgPool;
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use std::sync::Arc;
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use std::time::Duration;
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use tokio::time;
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use tracing::{error, info};
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/// Periodically analyzes data and enqueues prioritized scrape jobs.
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pub struct Scheduler {
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db_pool: PgPool,
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banner_api: Arc<BannerApi>,
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}
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impl Scheduler {
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pub fn new(db_pool: PgPool, banner_api: Arc<BannerApi>) -> Self {
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Self {
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db_pool,
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banner_api,
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}
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}
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/// Runs the scheduler's main loop.
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pub async fn run(&self) {
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info!("Scheduler service started.");
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let mut interval = time::interval(Duration::from_secs(60)); // Runs every minute
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loop {
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interval.tick().await;
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info!("Scheduler waking up to analyze and schedule jobs...");
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if let Err(e) = self.schedule_jobs().await {
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error!(error = ?e, "Failed to schedule jobs");
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}
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}
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}
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/// The core logic for deciding what jobs to create.
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async fn schedule_jobs(&self) -> Result<()> {
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// For now, we will implement a simple baseline scheduling strategy:
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// 1. Get a list of all subjects from the Banner API.
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// 2. For each subject, check if an active (not locked, not completed) job already exists.
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// 3. If no job exists, create a new, low-priority job to be executed in the near future.
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let term = Term::get_current().inner().to_string();
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info!(
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term = term,
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"[Scheduler] Enqueuing baseline subject scrape jobs..."
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);
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let subjects = self.banner_api.get_subjects("", &term, 1, 500).await?;
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for subject in subjects {
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let payload = json!({ "subject": subject.code });
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let existing_job: Option<(i32,)> = sqlx::query_as(
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"SELECT id FROM scrape_jobs WHERE target_type = $1 AND target_payload = $2 AND locked_at IS NULL"
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)
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.bind(TargetType::Subject)
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.bind(&payload)
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.fetch_optional(&self.db_pool)
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.await?;
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if existing_job.is_some() {
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continue;
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}
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sqlx::query(
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"INSERT INTO scrape_jobs (target_type, target_payload, priority, execute_at) VALUES ($1, $2, $3, $4)"
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)
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.bind(TargetType::Subject)
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.bind(&payload)
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.bind(ScrapePriority::Low)
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.bind(chrono::Utc::now())
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.execute(&self.db_pool)
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.await?;
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info!(subject = subject.code, "[Scheduler] Enqueued new job");
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}
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info!("[Scheduler] Job scheduling complete.");
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Ok(())
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}
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}
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@@ -0,0 +1,205 @@
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use crate::banner::{BannerApi, BannerApiError, Course, SearchQuery, Term};
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use crate::data::models::ScrapeJob;
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use crate::error::Result;
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use serde_json::Value;
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use sqlx::PgPool;
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use std::sync::Arc;
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use std::time::Duration;
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use tokio::time;
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use tracing::{error, info, warn};
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/// A single worker instance.
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///
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/// Each worker runs in its own asynchronous task and continuously polls the
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/// database for scrape jobs to execute.
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pub struct Worker {
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id: usize, // For logging purposes
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db_pool: PgPool,
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banner_api: Arc<BannerApi>,
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}
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impl Worker {
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pub fn new(id: usize, db_pool: PgPool, banner_api: Arc<BannerApi>) -> Self {
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Self {
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id,
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db_pool,
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banner_api,
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}
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}
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/// Runs the worker's main loop.
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pub async fn run(&self) {
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info!(worker_id = self.id, "Worker started.");
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loop {
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match self.fetch_and_lock_job().await {
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Ok(Some(job)) => {
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let job_id = job.id;
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info!(worker_id = self.id, job_id = job.id, "Processing job");
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if let Err(e) = self.process_job(job).await {
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// Check if the error is due to an invalid session
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if let Some(BannerApiError::InvalidSession) =
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e.downcast_ref::<BannerApiError>()
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{
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warn!(
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worker_id = self.id,
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job_id, "Invalid session detected. Forcing session refresh."
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);
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} else {
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error!(worker_id = self.id, job_id, error = ?e, "Failed to process job");
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}
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// Unlock the job so it can be retried
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if let Err(unlock_err) = self.unlock_job(job_id).await {
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error!(
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worker_id = self.id,
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job_id,
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?unlock_err,
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"Failed to unlock job"
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);
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}
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} else {
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info!(worker_id = self.id, job_id, "Job processed successfully");
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// If successful, delete the job.
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if let Err(delete_err) = self.delete_job(job_id).await {
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error!(
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worker_id = self.id,
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job_id,
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?delete_err,
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"Failed to delete job"
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);
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}
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}
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}
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Ok(None) => {
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// No job found, wait for a bit before polling again.
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time::sleep(Duration::from_secs(5)).await;
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}
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Err(e) => {
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warn!(worker_id = self.id, error = ?e, "Failed to fetch job");
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// Wait before retrying to avoid spamming errors.
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time::sleep(Duration::from_secs(10)).await;
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}
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}
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}
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}
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/// Atomically fetches a job from the queue, locking it for processing.
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///
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/// This uses a `FOR UPDATE SKIP LOCKED` query to ensure that multiple
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/// workers can poll the queue concurrently without conflicts.
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async fn fetch_and_lock_job(&self) -> Result<Option<ScrapeJob>> {
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let mut tx = self.db_pool.begin().await?;
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let job = sqlx::query_as::<_, ScrapeJob>(
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"SELECT * FROM scrape_jobs WHERE locked_at IS NULL AND execute_at <= NOW() ORDER BY priority DESC, execute_at ASC LIMIT 1 FOR UPDATE SKIP LOCKED"
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)
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.fetch_optional(&mut *tx)
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.await?;
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if let Some(ref job) = job {
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sqlx::query("UPDATE scrape_jobs SET locked_at = NOW() WHERE id = $1")
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.bind(job.id)
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.execute(&mut *tx)
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.await?;
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}
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tx.commit().await?;
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Ok(job)
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}
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async fn process_job(&self, job: ScrapeJob) -> Result<()> {
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match job.target_type {
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crate::data::models::TargetType::Subject => {
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self.process_subject_job(&job.target_payload).await
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}
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_ => {
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warn!(worker_id = self.id, job_id = job.id, "unhandled job type");
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Ok(())
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}
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}
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}
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async fn process_subject_job(&self, payload: &Value) -> Result<()> {
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let subject_code = payload["subject"]
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.as_str()
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.ok_or_else(|| anyhow::anyhow!("Invalid subject payload"))?;
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info!(
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worker_id = self.id,
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subject = subject_code,
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"Processing subject job"
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);
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let term = Term::get_current().inner().to_string();
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let query = SearchQuery::new().subject(subject_code).max_results(500);
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let search_result = self
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.banner_api
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.search(&term, &query, "subjectDescription", false)
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.await?;
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if let Some(courses_from_api) = search_result.data {
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info!(
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worker_id = self.id,
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subject = subject_code,
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count = courses_from_api.len(),
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"Found courses to upsert"
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);
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for course in courses_from_api {
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self.upsert_course(&course).await?;
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}
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}
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Ok(())
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}
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async fn upsert_course(&self, course: &Course) -> Result<()> {
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sqlx::query(
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r#"
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INSERT INTO courses (crn, subject, course_number, title, term_code, enrollment, max_enrollment, wait_count, wait_capacity, last_scraped_at)
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VALUES ($1, $2, $3, $4, $5, $6, $7, $8, $9, $10)
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ON CONFLICT (crn, term_code) DO UPDATE SET
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subject = EXCLUDED.subject,
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course_number = EXCLUDED.course_number,
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title = EXCLUDED.title,
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enrollment = EXCLUDED.enrollment,
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max_enrollment = EXCLUDED.max_enrollment,
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wait_count = EXCLUDED.wait_count,
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wait_capacity = EXCLUDED.wait_capacity,
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last_scraped_at = EXCLUDED.last_scraped_at
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"#,
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)
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.bind(&course.course_reference_number)
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.bind(&course.subject)
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.bind(&course.course_number)
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.bind(&course.course_title)
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.bind(&course.term)
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.bind(course.enrollment)
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.bind(course.maximum_enrollment)
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.bind(course.wait_count)
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.bind(course.wait_capacity)
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.bind(chrono::Utc::now())
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.execute(&self.db_pool)
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.await?;
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Ok(())
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}
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async fn delete_job(&self, job_id: i32) -> Result<()> {
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sqlx::query("DELETE FROM scrape_jobs WHERE id = $1")
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.bind(job_id)
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.execute(&self.db_pool)
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.await?;
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info!(worker_id = self.id, job_id, "Job deleted");
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Ok(())
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}
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async fn unlock_job(&self, job_id: i32) -> Result<()> {
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sqlx::query("UPDATE scrape_jobs SET locked_at = NULL WHERE id = $1")
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.bind(job_id)
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.execute(&self.db_pool)
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.await?;
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info!(worker_id = self.id, job_id, "Job unlocked after failure");
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Ok(())
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}
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}
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