mod constants;
extern crate num_cpus;
use std::fs::File;
use std::path::PathBuf;
use zstd::Decoder;
use std::io::{BufRead, BufReader, Write, BufWriter};
use clap::{Arg, ArgAction, Command, value_parser};
use indicatif::{ProgressBar, ProgressStyle};
use rayon::prelude::*;
use std::fs::OpenOptions;
use std::string::String;
use constants::create_line_count_map;
fn process_line(line: &str, search_strings: &Vec<String>) -> Option<String> {
if search_strings.iter().any(|formats| { line.to_lowercase().contains(&formats.to_lowercase()) }) {
Some(line.to_string())
} else {
None
}
}
fn process_chunk(lines: Vec<String>, search_strings: &Vec<String>) -> Vec<String> {
lines.into_par_iter()
.filter_map(|line| process_line(&line, search_strings))
.collect()
}
fn main() -> std::io::Result<()> {
let args = Command::new("reddit-search")
.about("Utility to search the pushshift.io reddit dumps. Takes a zstd compressed file as input and outputs matching lines to a file.\nFor processing multiple files, use the --append option and loop over the directory using your shell of choice\n\nThe dumps are available here: https://academictorrents.com/details/7c0645c94321311bb05bd879ddee4d0eba08aaee")
.version(env!("CARGO_PKG_VERSION"))
.author("Luc Aggett (luc@aggett.com")
.arg_required_else_help(true)
.arg(Arg::new("input")
.short('i')
.long("input")
.value_name("INPUT")
.help("Sets the input file to use. Must be a zstd compressed newline delimited JSON file.")
.required(true)
.action(ArgAction::Set)
.num_args(1),
)
.arg(Arg::new("output")
.short('o')
.long("output")
.value_name("OUTPUT")
.help("Sets the output file to use.")
.action(ArgAction::Set)
.num_args(1)
.default_value("reddit_comments.json"),
)
.arg(Arg::new("fields")
.short('f')
.long("fields")
.value_name("FIELDS")
.help("Sets the fields to search. Must be in the format <field>:<value>. Can be specified multiple times.")
.required_unless_present("preset")
.action(ArgAction::Set)
.value_parser(value_parser!(String))
.num_args(1..)
)
.arg(Arg::new("append")
.short('a')
.long("append")
.help("Append to the output file instead of overwriting it.")
.required(false)
.action(ArgAction::SetTrue),
)
.arg(Arg::new("threads")
.short('t')
.long("threads")
.value_name("THREADS")
.help("Sets the number of threads to use. Defaults to the number of logical cores on the system.")
.required(false)
.num_args(1)
.action(ArgAction::Set)
.value_parser(value_parser!(usize)),
).arg(Arg::new("random")
.short('r')
.long("random")
.help("Randomly sample the input file. Useful for testing.")
.required(false)
.action(ArgAction::SetTrue),
).arg(Arg::new("linecount")
.short('l')
.long("linecount")
.help("Print the number of lines in the input file and exit.")
.required(false)
.action(ArgAction::SetTrue),
).arg(Arg::new("preset")
.short('p')
.long("preset")
.value_name("PRESET")
.help("Use a preset instead of specifying fields manually. Available presets are: en_news, en_politics, en_hate_speech")
.required_unless_present("fields")
.action(ArgAction::Set)
.num_args(1)
).arg(Arg::new("verbose")
.short('v')
.long("verbose")
.help("Print verbose output.")
.required(false)
.action(ArgAction::SetTrue),
).get_matches();
let threads_flag: usize = *args.get_one("threads").unwrap_or(&0);
if threads_flag > 0 {
let threads = *args.get_one::<usize>("threads").unwrap();
rayon::ThreadPoolBuilder::new().num_threads(threads).build_global().unwrap();
}
let linecount_flag: bool = *args.get_one("linecount").unwrap_or(&false);
if linecount_flag {
let input_path = args.get_one::<String>("input").unwrap().replace('\\', "/");
let file_name = input_path.split('/').last().unwrap();
let input_buf = PathBuf::from(input_path.clone());
let metadata = input_buf.metadata()?;
let input_file = File::open(input_buf.clone())?;
let mut decoder = Decoder::new(input_file)?;
decoder.window_log_max(31)?;
let input_stream = BufReader::new(decoder);
let mut num_lines = 0;
for _ in input_stream.lines() {
num_lines += 1;
}
println!("{};{};{}", file_name, metadata.len(), num_lines);
}
let search_fields: Vec<String>;
let preset = args.get_one::<String>("preset");
if preset.is_some() {
let preset = preset.unwrap();
let presets_map = constants::get_presets();
if !presets_map.contains_key(preset.as_str()) {
let err_msg = format!("Preset {} not found. Available presets are: {}", preset, presets_map.keys().map(|s| s.to_string()).collect::<Vec<String>>().join(", "));
eprintln!("{}", err_msg);
return Ok(());
}
let args_fields = presets_map.get(preset.as_str()).unwrap().to_vec();
search_fields = args_fields.iter().map(|s| s.to_string()).collect();
} else {
let args_fields: Vec<&str> = args.get_many::<String>("fields").unwrap().map(|s| s.as_str()).collect();
println!("{:?}", args_fields);
search_fields = args_fields.iter().map(|s| s.to_string()).collect();
}
let mut search_strings: Vec<String> = Vec::new();
for field in search_fields {
let mut split = field.split(':');
if split.clone().count() != 2 {
let err_msg = format!("Field {} is not in the format <field>:<value>", field);
eprintln!("{}", err_msg);
return Ok(());
}
let field_key = split.next().unwrap().to_string();
let value = split.next().unwrap().to_string();
search_strings.push(format!("\"{}\":\"{}\"", field_key, value));
search_strings.push(format!("\"{}\": {}", field_key, value));
}
const CHUNK_SIZE: usize = 500_000;
let input_path = args.get_one::<String>("input").unwrap().replace('\\', "/");
if !input_path.ends_with(".zst") {
let err_msg = format!("Input file must be a zstd compressed file. {} is not a zstd file.", input_path);
eprintln!("{}", err_msg);
return Ok(());
}
let input_buf = PathBuf::from(input_path.clone());
let metadata = input_buf.metadata()?;
if !metadata.is_file() {
let err_msg = format!("Input file {} does not exist.", input_path);
eprintln!("{}", err_msg);
return Ok(());
}
let input_file = File::open(input_buf.clone())?;
let mut decoder = Decoder::new(input_file)?;
decoder.window_log_max(31)?;
let input_stream = BufReader::new(decoder);
let output_path = args.get_one::<String>("output").unwrap();
if PathBuf::from(output_path).exists() && !args.contains_id("append") {
let err_msg = format!("Output file {} already exists. Use the --append option to append to the file.", output_path);
eprintln!("{}", err_msg);
}
let output_buf = PathBuf::from(output_path);
let append_flag = *args.get_one("append").unwrap_or(&false);
let output_file = OpenOptions::new()
.create(true)
.write(true)
.append(append_flag)
.open(output_buf)?;
let verbose_flag = *args.get_one("verbose").unwrap_or(&false);
if verbose_flag {
println!("Starting reddit-search for {} ({} threads) at {}", input_path, rayon::current_num_threads(), chrono::Local::now().format("%Y-%m-%d %H:%M:%S"));
println!("Input file: {}", input_path);
println!("Output file: {}", output_path);
println!("Append: {}", append_flag);
println!("Threads: {}", rayon::current_num_threads());
println!("Line count: {}", metadata.len());
println!("Search fields: {}", search_strings.join(", "));
}
let mut output_stream = BufWriter::new(output_file);
let (tx, rx) = std::sync::mpsc::channel();
rayon::spawn(move || {
let mut chunk = Vec::with_capacity(CHUNK_SIZE);
for line in input_stream.lines() {
let line = line.expect("Failed to read line");
chunk.push(line);
if chunk.len() >= CHUNK_SIZE {
tx.send(chunk).expect("Failed to send chunk");
chunk = Vec::with_capacity(CHUNK_SIZE);
}
}
if !chunk.is_empty() {
tx.send(chunk).expect("Failed to send final chunk");
}
});
let mut matched_lines_count = 0;
let line_count_map = create_line_count_map();
let file_name = input_path.split('/').last().unwrap();
let mut num_lines = *line_count_map.get(file_name).unwrap_or(&0);
if num_lines == 0 {
println!("Warning: No line count found for {}. This will cause the progress percent to be inaccurate.", file_name);
let estimated_num_lines = (metadata.len() as f64 / 1_000_000_000.0) * 10_000_000.0;
num_lines = estimated_num_lines as u64;
}
let pb = ProgressBar::new(num_lines);
pb.set_style(ProgressStyle::default_bar()
.template("{spinner:.green} [{elapsed_precise}] [{bar:40.cyan/blue}] {pos}/{len} ({eta})").expect("Failed to set progress bar style")
.progress_chars("#>-"));
for chunk in rx {
let matches = process_chunk(chunk, &search_strings);
matched_lines_count += matches.len();
for line in matches {
writeln!(output_stream, "{}", line)?;
}
pb.inc(CHUNK_SIZE as u64)
}
pb.finish_and_clear();
print!("Matched {} lines out of {} in file {}", matched_lines_count, num_lines, input_path);
if pb.elapsed().as_secs() > 60 {
if pb.elapsed().as_secs() > 120 {
println!(" (took {} minutes, {} seconds)", pb.elapsed().as_secs() / 60, pb.elapsed().as_secs() % 60)
} else {
println!(" (took {} minute, {} seconds)", pb.elapsed().as_secs() / 60, pb.elapsed().as_secs() % 60)
}
} else {
println!(" (took {} seconds)", pb.elapsed().as_secs());
}
Ok(())
}