use csv;
use config::{Config, Delimiter};
use util;
use CliResult;
use moonblade::AggregationProgram;
use cmd::moonblade::{
get_moonblade_aggregations_function_help, get_moonblade_cheatsheet,
get_moonblade_functions_help, MoonbladeErrorPolicy,
};
static USAGE: &str = "
Aggregate CSV data using a custom aggregation expression. The result of running
the command will be a single row of CSV containing the result of aggregating
the whole file.
You can, for instance, compute the sum of a column:
$ xan agg 'sum(retweet_count)' file.csv
You can use dynamic expressions to mangle the data before aggregating it:
$ xan agg 'sum(retweet_count + replies_count)' file.csv
You can perform multiple aggregations at once:
$ xan agg 'sum(retweet_count), mean(retweet_count), max(replies_count)' file.csv
You can rename the output columns using the 'as' syntax:
$ xan agg 'sum(n) as sum, max(replies_count) as \"Max Replies\"' file.csv
For a quick review of the capabilities of the script language, use
the --cheatsheet flag.
For a list of available aggregation functions, use the --aggs flag.
If you want to list available functions, use the --functions flag.
Usage:
xan agg [options] <expression> [<input>]
xan agg --help
xan agg --cheatsheet
xan agg --aggs
xan agg --functions
agg options:
-e, --errors <policy> What to do with evaluation errors. One of:
- \"panic\": exit on first error
- \"ignore\": ignore row altogether
- \"log\": print error to stderr
[default: panic].
-p, --parallel Whether to use parallelization to speed up computations.
Will automatically select a suitable number of threads to use
based on your number of cores.
Common options:
-h, --help Display this message
-o, --output <file> Write output to <file> instead of stdout.
-n, --no-headers When set, the first row will not be evaled
as headers.
-d, --delimiter <arg> The field delimiter for reading CSV data.
Must be a single character. [default: ,]
";
#[derive(Deserialize)]
struct Args {
arg_expression: String,
arg_input: Option<String>,
flag_no_headers: bool,
flag_output: Option<String>,
flag_delimiter: Option<Delimiter>,
flag_aggs: bool,
flag_errors: String,
flag_cheatsheet: bool,
flag_functions: bool,
flag_parallel: bool,
}
pub fn run(argv: &[&str]) -> CliResult<()> {
let args: Args = util::get_args(USAGE, argv)?;
if args.flag_aggs {
println!("{}", get_moonblade_aggregations_function_help());
return Ok(());
}
if args.flag_cheatsheet {
println!("{}", get_moonblade_cheatsheet());
return Ok(());
}
if args.flag_functions {
println!("{}", get_moonblade_functions_help());
return Ok(());
}
let error_policy = MoonbladeErrorPolicy::from_restricted(&args.flag_errors)?;
let rconf = Config::new(&args.arg_input)
.delimiter(args.flag_delimiter)
.no_headers(args.flag_no_headers);
let mut rdr = rconf.reader()?;
let mut wtr = Config::new(&args.flag_output).writer()?;
let headers = rdr.byte_headers()?;
let mut program = AggregationProgram::parse(&args.arg_expression, headers)?;
let mut record = csv::ByteRecord::new();
wtr.write_record(program.headers())?;
let mut index: usize = 0;
while rdr.read_byte_record(&mut record)? {
index += 1;
program
.run_with_record(index, &record)
.or_else(|error| error_policy.handle_error(index, error))?;
}
wtr.write_byte_record(&program.finalize(args.flag_parallel))?;
Ok(wtr.flush()?)
}