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csv.rs
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265 lines (233 loc) · 7.73 KB
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//! CSV edge iterator for the formats layer.
use std::io::Read;
use csv::StringRecord;
use crate::formats::FormatError;
use crate::graph::Edge;
#[derive(Debug, Clone)]
pub enum ColumnSpec {
Index(usize),
Name(String),
}
#[derive(Debug, Clone)]
pub struct CsvConfig {
pub source_column: ColumnSpec,
pub target_column: ColumnSpec,
pub label_column: ColumnSpec,
pub has_header: bool,
pub delimiter: u8,
}
impl Default for CsvConfig {
fn default() -> Self {
Self {
source_column: ColumnSpec::Index(0),
target_column: ColumnSpec::Index(1),
label_column: ColumnSpec::Index(2),
has_header: true,
delimiter: b',',
}
}
}
/// An iterator that reads CSV records and yields `Result<Edge, FormatError>`.
///
/// # Example
///
/// ```no_run
/// use pathrex::formats::csv::Csv;
/// use std::fs::File;
///
/// let file = File::open("edges.csv").unwrap();
/// let iter = Csv::from_reader(file).unwrap();
/// for result in iter {
/// let edge = result.unwrap();
/// println!("{} --{}--> {}", edge.source, edge.label, edge.target);
/// }
/// ```
pub struct Csv<R: Read> {
records: csv::StringRecordsIntoIter<R>,
source_idx: usize,
target_idx: usize,
label_idx: usize,
}
impl<R: Read> Csv<R> {
pub fn new(reader: R, config: CsvConfig) -> Result<Self, FormatError> {
let mut csv_reader = csv::ReaderBuilder::new()
.has_headers(config.has_header)
.delimiter(config.delimiter)
.from_reader(reader);
let (source_idx, target_idx, label_idx) = if config.has_header {
let headers = csv_reader.headers()?.clone();
let resolve = |spec: &ColumnSpec| -> Result<usize, FormatError> {
match spec {
ColumnSpec::Index(i) => Ok(*i),
ColumnSpec::Name(name) => headers
.iter()
.position(|h| h == name)
.ok_or_else(|| FormatError::MissingColumn { name: name.clone() }),
}
};
(
resolve(&config.source_column)?,
resolve(&config.target_column)?,
resolve(&config.label_column)?,
)
} else {
let index_only = |spec: &ColumnSpec| -> Result<usize, FormatError> {
match spec {
ColumnSpec::Index(i) => Ok(*i),
ColumnSpec::Name(name) => {
Err(FormatError::MissingColumn { name: name.clone() })
}
}
};
(
index_only(&config.source_column)?,
index_only(&config.target_column)?,
index_only(&config.label_column)?,
)
};
Ok(Self {
records: csv_reader.into_records(),
source_idx,
target_idx,
label_idx,
})
}
pub fn from_reader(reader: R) -> Result<Self, FormatError> {
Self::new(reader, CsvConfig::default())
}
fn get_field(record: &StringRecord, idx: usize) -> Result<String, FormatError> {
record
.get(idx)
.map(str::to_owned)
.ok_or_else(|| FormatError::MissingColumn {
name: format!("index {idx}"),
})
}
}
impl<R: Read> Iterator for Csv<R> {
type Item = Result<Edge, FormatError>;
fn next(&mut self) -> Option<Self::Item> {
let record = match self.records.next()? {
Ok(r) => r,
Err(e) => return Some(Err(FormatError::Csv(e))),
};
Some((|| {
let source = Self::get_field(&record, self.source_idx)?;
let target = Self::get_field(&record, self.target_idx)?;
let label = Self::get_field(&record, self.label_idx)?;
Ok(Edge {
source,
target,
label,
})
})())
}
}
#[cfg(test)]
mod tests {
use super::*;
fn make_csv(content: &str) -> Csv<&[u8]> {
Csv::from_reader(content.as_bytes()).expect("should construct iterator")
}
#[test]
fn test_basic_csv_with_header() {
let csv = "source,target,label\nA,B,knows\nB,C,likes\n";
let edges: Vec<_> = make_csv(csv).collect();
assert_eq!(edges.len(), 2);
let e0 = edges[0].as_ref().unwrap();
assert_eq!(e0.source, "A");
assert_eq!(e0.target, "B");
assert_eq!(e0.label, "knows");
}
#[test]
fn test_named_columns() {
let csv = "from,to,rel\nAlice,Bob,knows\n";
let config = CsvConfig {
source_column: ColumnSpec::Name("from".to_string()),
target_column: ColumnSpec::Name("to".to_string()),
label_column: ColumnSpec::Name("rel".to_string()),
..CsvConfig::default()
};
let iter = Csv::new(csv.as_bytes(), config).unwrap();
let edges: Vec<_> = iter.collect();
assert_eq!(edges.len(), 1);
let e = edges[0].as_ref().unwrap();
assert_eq!(e.source, "Alice");
assert_eq!(e.target, "Bob");
assert_eq!(e.label, "knows");
}
#[test]
fn test_missing_named_column_returns_error() {
let csv = "source,target,label\nA,B,knows\n";
let config = CsvConfig {
source_column: ColumnSpec::Name("nonexistent".to_string()),
..CsvConfig::default()
};
let result = Csv::new(csv.as_bytes(), config);
assert!(
matches!(result, Err(FormatError::MissingColumn { name }) if name == "nonexistent")
);
}
#[test]
fn test_custom_delimiter() {
let csv = "source\ttarget\tlabel\nX\tY\tedge\n";
let config = CsvConfig {
delimiter: b'\t',
..CsvConfig::default()
};
let iter = Csv::new(csv.as_bytes(), config).unwrap();
let edges: Vec<_> = iter.collect();
assert_eq!(edges.len(), 1);
let e = edges[0].as_ref().unwrap();
assert_eq!(e.source, "X");
assert_eq!(e.target, "Y");
assert_eq!(e.label, "edge");
}
#[test]
fn test_no_header_with_index_columns() {
let csv = "A,B,knows\nC,D,likes\n";
let config = CsvConfig {
has_header: false,
..CsvConfig::default()
};
let iter = Csv::new(csv.as_bytes(), config).unwrap();
let edges: Vec<_> = iter.collect();
assert_eq!(edges.len(), 2);
assert_eq!(edges[0].as_ref().unwrap().source, "A");
assert_eq!(edges[1].as_ref().unwrap().source, "C");
}
#[test]
fn test_empty_csv_yields_no_edges() {
let csv = "source,target,label\n";
let edges: Vec<_> = make_csv(csv).collect();
assert!(edges.is_empty());
}
#[test]
fn test_non_ascii() {
let csv = "source,target,label\n\
人甲,人乙,认识\n\
Алиса,Боб,знает\n";
let edges: Vec<_> = make_csv(csv).collect();
assert_eq!(edges.len(), 2);
let e0 = edges[0].as_ref().unwrap();
assert_eq!(e0.source, "人甲");
assert_eq!(e0.target, "人乙");
assert_eq!(e0.label, "认识");
let e1 = edges[1].as_ref().unwrap();
assert_eq!(e1.source, "Алиса");
assert_eq!(e1.target, "Боб");
assert_eq!(e1.label, "знает");
}
#[test]
fn test_graph_source_impl() {
use crate::graph::{GraphBuilder, GraphDecomposition, InMemoryBuilder};
let csv = "source,target,label\nA,B,knows\nB,C,likes\nC,A,knows\n";
let iter = Csv::from_reader(csv.as_bytes()).unwrap();
let graph = InMemoryBuilder::default()
.load(iter)
.unwrap()
.build()
.unwrap();
assert_eq!(graph.num_nodes(), 3);
}
}