use std::io; use std::str::FromStr; use anyhow::Context; use cow_utils::CowUtils; use roaring::RoaringBitmap; use slice_group_by::StrGroupBy; use milli::{FastMap4, DocumentId, SmallString32}; const MAX_POSITION: usize = 1000; const MAX_ATTRIBUTES: usize = u32::max_value() as usize / MAX_POSITION; fn simple_alphanumeric_tokens(string: &str) -> impl Iterator { let is_alphanumeric = |s: &&str| s.chars().next().map_or(false, char::is_alphanumeric); string.linear_group_by_key(|c| c.is_alphanumeric()).filter(is_alphanumeric) } fn main() -> anyhow::Result<()> { let mut rdr = csv::Reader::from_reader(io::stdin()); let mut document = csv::StringRecord::new(); let mut postings_positions = FastMap4::default(); let headers = rdr.headers()?; let mut writer = csv::WriterBuilder::new().has_headers(false).from_writer(Vec::new()); writer.write_byte_record(headers.as_byte_record())?; let id_pos = headers.iter().position(|h| h == "id").context("missing 'id' header")?; while rdr.read_record(&mut document)? { let document_id = document.get(id_pos).unwrap(); let document_id = DocumentId::from_str(document_id).context("invalid document id")?; for (attr, content) in document.iter().enumerate().take(MAX_ATTRIBUTES) { if attr == id_pos { continue } for (pos, word) in simple_alphanumeric_tokens(&content).enumerate().take(MAX_POSITION) { if !word.is_empty() && word.len() < 500 { // LMDB limits let word = word.cow_to_lowercase(); let position = (attr * 1000 + pos) as u32; postings_positions.entry(SmallString32::from(word.as_ref())) .or_insert_with(FastMap4::default).entry(position) .or_insert_with(RoaringBitmap::new).insert(document_id); } } } } // Write the stats to stdout let mut wrt = csv::Writer::from_writer(io::stdout()); wrt.write_record(&["word", "position", "count"])?; for (word, positions) in postings_positions { let word = word.as_str(); for (pos, ids) in positions { let pos = pos.to_string(); let count = ids.len().to_string(); wrt.write_record(&[word, &pos, &count])?; } } Ok(()) }