Remove rust-bert

Signed-off-by: Nikolaos Karaolidis <nick@karaolidis.com>

.gitignore

@@ -11,6 +11,3 @@ log/
 *.pdb
 
 .env*
-
-# ML models
-models/*/rust_model.ot

Cargo.toml

@@ -51,6 +51,7 @@ clickhouse = { version = "0.11.6", features = [
 ] }
 uuid = { version = "1.6.1", features = [
     "serde",
+    "v4",
 ] }
 time = { version = "0.3.31", features = [
     "serde",
@@ -64,8 +65,6 @@ backoff = { version = "0.4.0", features = [
     "tokio",
 ] }
 regex = "1.10.3"
-html-escape = "0.2.13"
-rust-bert = "0.22.0"
 async-trait = "0.1.77"
 itertools = "0.12.1"
 lazy_static = "1.4.0"

models/finbert/config.json

@@ -1,32 +0,0 @@
-{
-  "_name_or_path": "/home/ubuntu/finbert/models/language_model/finbertTRC2",
-  "architectures": [
-    "BertForSequenceClassification"
-  ],
-  "attention_probs_dropout_prob": 0.1,
-  "gradient_checkpointing": false,
-  "hidden_act": "gelu",
-  "hidden_dropout_prob": 0.1,
-  "hidden_size": 768,
-  "id2label": {
-    "0": "positive",
-    "1": "negative",
-    "2": "neutral"
-  },
-  "initializer_range": 0.02,
-  "intermediate_size": 3072,
-  "label2id": {
-    "positive": 0,
-    "negative": 1,
-    "neutral": 2
-  },
-  "layer_norm_eps": 1e-12,
-  "max_position_embeddings": 512,
-  "model_type": "bert",
-  "num_attention_heads": 12,
-  "num_hidden_layers": 12,
-  "pad_token_id": 0,
-  "position_embedding_type": "absolute",
-  "type_vocab_size": 2,
-  "vocab_size": 30522
-}

models/finbert/special_tokens_map.json

@@ -1 +0,0 @@
-{"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}

models/finbert/tokenizer_config.json

@@ -1 +0,0 @@
-{"do_lower_case": true, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "model_max_length": 512, "name_or_path": "bert-base-uncased"}

src/config.rs

@@ -5,14 +5,8 @@ use reqwest::{
     header::{HeaderMap, HeaderName, HeaderValue},
     Client,
 };
-use rust_bert::{
+
-    pipelines::{
+use std::{env, num::NonZeroU32, sync::Arc};
-        common::{ModelResource, ModelType},
-        sequence_classification::{SequenceClassificationConfig, SequenceClassificationModel},
-    },
-    resources::LocalResource,
-};
-use std::{env, num::NonZeroU32, path::PathBuf, sync::Arc};
 use tokio::sync::Semaphore;
 
 lazy_static! {
@@ -40,10 +34,6 @@ lazy_static! {
         .expect("BATCH_BACKFILL_NEWS_SIZE must be set.")
         .parse()
         .expect("BATCH_BACKFILL_NEWS_SIZE must be a positive integer.");
-    pub static ref BERT_MAX_INPUTS: usize = env::var("BERT_MAX_INPUTS")
-        .expect("BERT_MAX_INPUTS must be set.")
-        .parse()
-        .expect("BERT_MAX_INPUTS must be a positive integer.");
     pub static ref CLICKHOUSE_MAX_CONNECTIONS: usize = env::var("CLICKHOUSE_MAX_CONNECTIONS")
         .expect("CLICKHOUSE_MAX_CONNECTIONS must be set.")
         .parse()
@@ -55,7 +45,6 @@ pub struct Config {
     pub alpaca_rate_limiter: DefaultDirectRateLimiter,
     pub clickhouse_client: clickhouse::Client,
     pub clickhouse_concurrency_limiter: Arc<Semaphore>,
-    pub sequence_classifier: std::sync::Mutex<SequenceClassificationModel>,
 }
 
 impl Config {
@@ -89,25 +78,6 @@ impl Config {
                 )
                 .with_database(env::var("CLICKHOUSE_DB").expect("CLICKHOUSE_DB must be set.")),
             clickhouse_concurrency_limiter: Arc::new(Semaphore::new(*CLICKHOUSE_MAX_CONNECTIONS)),
-            sequence_classifier: std::sync::Mutex::new(
-                SequenceClassificationModel::new(SequenceClassificationConfig::new(
-                    ModelType::Bert,
-                    ModelResource::Torch(Box::new(LocalResource {
-                        local_path: PathBuf::from("./models/finbert/rust_model.ot"),
-                    })),
-                    LocalResource {
-                        local_path: PathBuf::from("./models/finbert/config.json"),
-                    },
-                    LocalResource {
-                        local_path: PathBuf::from("./models/finbert/vocab.txt"),
-                    },
-                    None,
-                    true,
-                    None,
-                    None,
-                ))
-                .unwrap(),
-            ),
         }
     }
 

src/lib/types/alpaca/api/incoming/news.rs

@@ -1,5 +1,5 @@
 use crate::{
-    types::{self, alpaca::shared::news::normalize_html_content},
+    types::{self, alpaca::shared::news::strip},
     utils::de,
 };
 use serde::Deserialize;
@@ -46,13 +46,11 @@ impl From<News> for types::News {
             time_created: news.time_created,
             time_updated: news.time_updated,
             symbols: news.symbols,
-            headline: normalize_html_content(&news.headline),
+            headline: strip(&news.headline),
-            author: normalize_html_content(&news.author),
+            author: strip(&news.author),
-            source: normalize_html_content(&news.source),
+            source: strip(&news.source),
-            summary: normalize_html_content(&news.summary),
+            summary: news.summary,
-            content: normalize_html_content(&news.content),
+            content: news.content,
-            sentiment: types::news::Sentiment::Neutral,
-            confidence: 0.0,
             url: news.url.unwrap_or_default(),
         }
     }

src/lib/types/alpaca/shared/news.rs

@@ -1,4 +1,3 @@
-use html_escape::decode_html_entities;
 use lazy_static::lazy_static;
 use regex::Regex;
 
@@ -7,12 +6,10 @@ lazy_static! {
     static ref RE_SPACES: Regex = Regex::new("[\\u00A0\\s]+").unwrap();
 }
 
-pub fn normalize_html_content(content: &str) -> String {
+pub fn strip(content: &str) -> String {
     let content = content.replace('\n', " ");
     let content = RE_TAGS.replace_all(&content, "");
     let content = RE_SPACES.replace_all(&content, " ");
-    let content = decode_html_entities(&content);
     let content = content.trim();
-
     content.to_string()
 }

src/lib/types/alpaca/websocket/data/incoming/news.rs

@@ -1,5 +1,5 @@
 use crate::{
-    types::{alpaca::shared::news::normalize_html_content, news::Sentiment, News},
+    types::{alpaca::shared::news::strip, News},
     utils::de,
 };
 use serde::Deserialize;
@@ -31,13 +31,11 @@ impl From<Message> for News {
             time_created: news.time_created,
             time_updated: news.time_updated,
             symbols: news.symbols,
-            headline: normalize_html_content(&news.headline),
+            headline: strip(&news.headline),
-            author: normalize_html_content(&news.author),
+            author: strip(&news.author),
-            source: normalize_html_content(&news.source),
+            source: strip(&news.source),
-            summary: normalize_html_content(&news.summary),
+            summary: news.summary,
-            content: normalize_html_content(&news.content),
+            content: news.content,
-            sentiment: Sentiment::Neutral,
-            confidence: 0.0,
             url: news.url.unwrap_or_default(),
         }
     }

src/lib/types/news.rs

@@ -1,48 +1,7 @@
 use clickhouse::Row;
-use rust_bert::pipelines::sequence_classification::Label;
 use serde::{Deserialize, Serialize};
-use serde_repr::{Deserialize_repr, Serialize_repr};
-use std::str::FromStr;
 use time::OffsetDateTime;
 
-#[derive(Clone, Copy, Debug, PartialEq, Eq, Serialize_repr, Deserialize_repr)]
-#[repr(i8)]
-pub enum Sentiment {
-    Positive = 1,
-    Neutral = 0,
-    Negative = -1,
-}
-
-impl FromStr for Sentiment {
-    type Err = ();
-
-    fn from_str(s: &str) -> Result<Self, Self::Err> {
-        match s {
-            "positive" => Ok(Self::Positive),
-            "neutral" => Ok(Self::Neutral),
-            "negative" => Ok(Self::Negative),
-            _ => Err(()),
-        }
-    }
-}
-
-#[derive(Clone, Copy, Debug, PartialEq)]
-pub struct Prediction {
-    pub sentiment: Sentiment,
-    pub confidence: f64,
-}
-
-impl TryFrom<Label> for Prediction {
-    type Error = ();
-
-    fn try_from(label: Label) -> Result<Self, Self::Error> {
-        Ok(Self {
-            sentiment: Sentiment::from_str(&label.text)?,
-            confidence: label.score,
-        })
-    }
-}
-
 #[derive(Clone, Debug, PartialEq, Serialize, Deserialize, Row)]
 pub struct News {
     pub id: i64,
@@ -56,7 +15,5 @@ pub struct News {
     pub source: String,
     pub summary: String,
     pub content: String,
-    pub sentiment: Sentiment,
-    pub confidence: f64,
     pub url: String,
 }

src/main.rs

@@ -9,7 +9,7 @@ mod threads;
 
 use config::{
     Config, ALPACA_API_BASE, ALPACA_MODE, ALPACA_SOURCE, BATCH_BACKFILL_BARS_SIZE,
-    BATCH_BACKFILL_NEWS_SIZE, BERT_MAX_INPUTS, CLICKHOUSE_MAX_CONNECTIONS,
+    BATCH_BACKFILL_NEWS_SIZE, CLICKHOUSE_MAX_CONNECTIONS,
 };
 use dotenv::dotenv;
 use log4rs::config::Deserializers;
@@ -27,7 +27,6 @@ async fn main() {
     let _ = *ALPACA_SOURCE;
     let _ = *BATCH_BACKFILL_BARS_SIZE;
     let _ = *BATCH_BACKFILL_NEWS_SIZE;
-    let _ = *BERT_MAX_INPUTS;
     let _ = *CLICKHOUSE_MAX_CONNECTIONS;
 
     try_join!(

src/threads/data/backfill/news.rs

@@ -1,6 +1,6 @@
 use super::Job;
 use crate::{
-    config::{Config, ALPACA_SOURCE, BATCH_BACKFILL_NEWS_SIZE, BERT_MAX_INPUTS},
+    config::{Config, ALPACA_SOURCE, BATCH_BACKFILL_NEWS_SIZE},
     database,
 };
 use async_trait::async_trait;
@@ -10,7 +10,6 @@ use qrust::{
     types::{
         self,
         alpaca::shared::{Sort, Source},
-        news::Prediction,
         Backfill, News,
     },
     utils::{duration_until, FIFTEEN_MINUTES, ONE_MINUTE},
@@ -19,7 +18,7 @@ use std::{
     collections::{HashMap, HashSet},
     sync::Arc,
 };
-use tokio::{task::block_in_place, time::sleep};
+use tokio::time::sleep;
 
 pub struct Handler {
     pub config: Arc<Config>,
@@ -83,8 +82,6 @@ impl super::Handler for Handler {
         let fetch_to = jobs.values().map(|job| job.fetch_to).max().unwrap();
 
         let mut news = Vec::with_capacity(*BATCH_BACKFILL_NEWS_SIZE);
-        let mut batch = Vec::with_capacity(*BERT_MAX_INPUTS);
-        let mut predictions = Vec::with_capacity(*BERT_MAX_INPUTS);
         let mut last_times = HashMap::new();
         let mut next_page_token = None;
 
@@ -122,46 +119,9 @@ impl super::Handler for Handler {
                     }
                 }
 
-                batch.push(news_item);
+                news.push(news_item);
             }
 
-            if batch.len() < *BERT_MAX_INPUTS
-                && batch.len() < *BATCH_BACKFILL_NEWS_SIZE
-                && message.next_page_token.is_some()
-            {
-                continue;
-            }
-
-            let inputs = batch
-                .iter()
-                .map(|news| format!("{}\n\n{}", news.headline, news.content))
-                .collect::<Vec<_>>();
-
-            for chunk in inputs.chunks(*BERT_MAX_INPUTS) {
-                let chunk_predictions = block_in_place(|| {
-                    self.config
-                        .sequence_classifier
-                        .lock()
-                        .unwrap()
-                        .predict(chunk.iter().map(String::as_str).collect::<Vec<_>>())
-                        .into_iter()
-                        .map(|label| Prediction::try_from(label).unwrap())
-                });
-
-                predictions.extend(chunk_predictions);
-            }
-
-            let zipped = batch
-                .drain(..)
-                .zip(predictions.drain(..))
-                .map(|(news, prediction)| News {
-                    sentiment: prediction.sentiment,
-                    confidence: prediction.confidence,
-                    ..news
-                });
-
-            news.extend(zipped);
-
             if news.len() < *BATCH_BACKFILL_NEWS_SIZE && message.next_page_token.is_some() {
                 continue;
             }

src/threads/data/websocket/news.rs

@@ -2,9 +2,9 @@ use super::State;
 use crate::{config::Config, database};
 use async_trait::async_trait;
 use log::{debug, error, info};
-use qrust::types::{alpaca::websocket, news::Prediction, News};
+use qrust::types::{alpaca::websocket, News};
 use std::{collections::HashMap, sync::Arc};
-use tokio::{sync::RwLock, task::block_in_place};
+use tokio::sync::RwLock;
 
 pub struct Handler {
     pub config: Arc<Config>,
@@ -80,25 +80,6 @@ impl super::Handler for Handler {
                     news.symbols, news.time_created
                 );
 
-                let input = format!("{}\n\n{}", news.headline, news.content);
-
-                let prediction = block_in_place(|| {
-                    self.config
-                        .sequence_classifier
-                        .lock()
-                        .unwrap()
-                        .predict(vec![input.as_str()])
-                        .into_iter()
-                        .map(|label| Prediction::try_from(label).unwrap())
-                        .collect::<Vec<_>>()[0]
-                });
-
-                let news = News {
-                    sentiment: prediction.sentiment,
-                    confidence: prediction.confidence,
-                    ..news
-                };
-
                 database::news::upsert(
                     &self.config.clickhouse_client,
                     &self.config.clickhouse_concurrency_limiter,

support/ci/Dockerfile

@@ -1,12 +1,4 @@
-FROM rust:bookworm
+FROM rust
-
-RUN apt-get update -y && apt-get upgrade -y
-RUN apt-get install -y python3 python3-setuptools python3-pip
-RUN apt-get clean
-RUN rm -rf /var/lib/apt/lists/*
-
-RUN pip3 install torch==2.1.0+cpu --index-url https://download.pytorch.org/whl/cpu --break-system-packages
-ENV LIBTORCH_USE_PYTORCH 1
 
 RUN rustup install nightly
 RUN rustup component add rustfmt clippy --toolchain nightly

support/clickhouse/docker-entrypoint-initdb.d/0000_init.sql

@@ -51,8 +51,6 @@ CREATE TABLE IF NOT EXISTS qrust.news (
     source String,
     summary String,
     content String,
-    sentiment Enum('positive' = 1, 'neutral' = 0, 'negative' = -1),
-    confidence Float64,
     url String,
     INDEX index_symbols symbols TYPE bloom_filter()
 )