62 lines
1.7 KiB
Rust
62 lines
1.7 KiB
Rust
extern crate nederlandskie;
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use std::sync::Arc;
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use anyhow::Result;
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use env_logger::Env;
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use lingua::LanguageDetectorBuilder;
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use log::info;
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use nederlandskie::algos::{AlgosBuilder, Nederlandskie};
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use nederlandskie::config::Config;
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use nederlandskie::processes::{FeedServer, PostIndexer, ProfileClassifier};
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use nederlandskie::services::{Bluesky, Database, AI};
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#[tokio::main]
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async fn main() -> Result<()> {
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env_logger::Builder::from_env(Env::default().default_filter_or("info")).init();
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info!("Loading configuration");
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let config = Arc::new(Config::load()?);
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info!("Initializing service clients");
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let ai = Arc::new(AI::new(&config.chat_gpt_api_key, "https://api.openai.com"));
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let bluesky = Arc::new(Bluesky::new("https://bsky.social"));
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let database = Arc::new(Database::connect(&config.database_url).await?);
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info!("Initializing language detector");
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let language_detector = Arc::new(
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LanguageDetectorBuilder::from_all_languages()
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.with_preloaded_language_models()
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.build(),
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);
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let algos = Arc::new(
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AlgosBuilder::new()
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.add("nederlandskie", Nederlandskie::new(language_detector))
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.build(),
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);
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let post_indexer = PostIndexer::new(
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database.clone(),
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bluesky.clone(),
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algos.clone(),
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config.clone(),
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);
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let profile_classifier = ProfileClassifier::new(database.clone(), ai.clone(), bluesky.clone());
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let feed_server = FeedServer::new(database.clone(), config.clone(), algos.clone());
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info!("Starting everything up");
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tokio::try_join!(
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post_indexer.start(),
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profile_classifier.start(),
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feed_server.serve(),
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)?;
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Ok(())
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}
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