# CSV ## 读取 CSV 记录 我们可以将标准的 CSV 记录值读取到 [csv::StringRecord](https://docs.rs/csv/*/csv/struct.StringRecord.html) 中,但是该数据结构期待合法的 UTF8 数据行,你还可以使用 [csv::ByteRecord](https://docs.rs/csv/1.1.6/csv/struct.ByteRecord.html) 来读取非 UTF8 数据。 ```rust,editable use csv::Error; fn main() -> Result<(), Error> { let csv = "year,make,model,description 1948,Porsche,356,Luxury sports car 1967,Ford,Mustang fastback 1967,American car"; let mut reader = csv::Reader::from_reader(csv.as_bytes()); for record in reader.records() { let record = record?; println!( "In {}, {} built the {} model. It is a {}.", &record[0], &record[1], &record[2], &record[3] ); } Ok(()) } ``` 还可以使用 [`serde`](https://docs.rs/serde/1.0.136/serde/) 将数据反序列化成一个强类型的结构体。 ```rust,editable use serde::Deserialize; #[derive(Deserialize)] struct Record { year: u16, make: String, model: String, description: String, } fn main() -> Result<(), csv::Error> { let csv = "year,make,model,description 1948,Porsche,356,Luxury sports car 1967,Ford,Mustang fastback 1967,American car"; let mut reader = csv::Reader::from_reader(csv.as_bytes()); for record in reader.deserialize() { let record: Record = record?; println!( "In {}, {} built the {} model. It is a {}.", record.year, record.make, record.model, record.description ); } Ok(()) } ``` ### 读取使用了不同分隔符的 CSV 记录 下面的例子将读取使用了 `tab` 作为分隔符的 CSV 记录。 ```rust,editable use csv::Error; use serde::Deserialize; #[derive(Debug, Deserialize)] struct Record { name: String, place: String, #[serde(deserialize_with = "csv::invalid_option")] id: Option, } use csv::ReaderBuilder; fn main() -> Result<(), Error> { let data = "name\tplace\tid Mark\tMelbourne\t46 Ashley\tZurich\t92"; let mut reader = ReaderBuilder::new().delimiter(b'\t').from_reader(data.as_bytes()); for result in reader.deserialize::() { println!("{:?}", result?); } Ok(()) } ``` ### 基于给定条件来过滤 CSV 记录 ```rust,editable use error_chain::error_chain; use std::io; error_chain!{ foreign_links { Io(std::io::Error); CsvError(csv::Error); } } fn main() -> Result<()> { let query = "CA"; let data = "\ City,State,Population,Latitude,Longitude Kenai,AK,7610,60.5544444,-151.2583333 Oakman,AL,,33.7133333,-87.3886111 Sandfort,AL,,32.3380556,-85.2233333 West Hollywood,CA,37031,34.0900000,-118.3608333"; let mut rdr = csv::ReaderBuilder::new().from_reader(data.as_bytes()); let mut wtr = csv::Writer::from_writer(io::stdout()); wtr.write_record(rdr.headers()?)?; for result in rdr.records() { let record = result?; if record.iter().any(|field| field == query) { wtr.write_record(&record)?; } } wtr.flush()?; Ok(()) } ``` ### 序列化为 CSV 下面例子展示了如何将 Rust 类型序列化为 CSV。 ```rust,editable use std::io; fn main() -> Result<()> { let mut wtr = csv::Writer::from_writer(io::stdout()); wtr.write_record(&["Name", "Place", "ID"])?; wtr.serialize(("Mark", "Sydney", 87))?; wtr.serialize(("Ashley", "Dublin", 32))?; wtr.serialize(("Akshat", "Delhi", 11))?; wtr.flush()?; Ok(()) } ``` ### 使用 serde 序列化为 CSV 下面例子将自定义数据结构通过 `serde` 序列化 CSV。 ```rust,editable use error_chain::error_chain; use serde::Serialize; use std::io; error_chain! { foreign_links { IOError(std::io::Error); CSVError(csv::Error); } } #[derive(Serialize)] struct Record<'a> { name: &'a str, place: &'a str, id: u64, } fn main() -> Result<()> { let mut wtr = csv::Writer::from_writer(io::stdout()); let rec1 = Record { name: "Mark", place: "Melbourne", id: 56}; let rec2 = Record { name: "Ashley", place: "Sydney", id: 64}; let rec3 = Record { name: "Akshat", place: "Delhi", id: 98}; wtr.serialize(rec1)?; wtr.serialize(rec2)?; wtr.serialize(rec3)?; wtr.flush()?; Ok(()) } ``` ### CSV 列转换 下面代码将包含有颜色名和十六进制颜色的 CSV 文件转换为包含颜色名和 rgb 颜色。这里使用 `csv` 包对 CSV 文件进行读写,然后用 `serde` 进行序列化和反序列化。 ```rust,editable #use error_chain::error_chain; use csv::{Reader, Writer}; use serde::{de, Deserialize, Deserializer}; use std::str::FromStr; #error_chain! { # foreign_links { # CsvError(csv::Error); # ParseInt(std::num::ParseIntError); # CsvInnerError(csv::IntoInnerError>>); # IO(std::fmt::Error); # UTF8(std::string::FromUtf8Error); # } #} #[derive(Debug)] struct HexColor { red: u8, green: u8, blue: u8, } #[derive(Debug, Deserialize)] struct Row { color_name: String, color: HexColor, } impl FromStr for HexColor { type Err = Error; fn from_str(hex_color: &str) -> std::result::Result { let trimmed = hex_color.trim_matches('#'); if trimmed.len() != 6 { Err("Invalid length of hex string".into()) } else { Ok(HexColor { red: u8::from_str_radix(&trimmed[..2], 16)?, green: u8::from_str_radix(&trimmed[2..4], 16)?, blue: u8::from_str_radix(&trimmed[4..6], 16)?, }) } } } impl<'de> Deserialize<'de> for HexColor { fn deserialize(deserializer: D) -> std::result::Result where D: Deserializer<'de>, { let s = String::deserialize(deserializer)?; FromStr::from_str(&s).map_err(de::Error::custom) } } fn main() -> Result<()> { let data = "color_name,color red,#ff0000 green,#00ff00 blue,#0000FF periwinkle,#ccccff magenta,#ff00ff" .to_owned(); let mut out = Writer::from_writer(vec![]); let mut reader = Reader::from_reader(data.as_bytes()); for result in reader.deserialize::() { let res = result?; out.serialize(( res.color_name, res.color.red, res.color.green, res.color.blue, ))?; } let written = String::from_utf8(out.into_inner()?)?; assert_eq!(Some("magenta,255,0,255"), written.lines().last()); println!("{}", written); Ok(()) } ```