Read csv into a list in clojure
"doseq" is often used for operations with side effect. In your case to create collection of records you can use "map":
(defn take-csv
"Takes file name and reads data."
[fname]
(with-open [file (reader fname)]
(doall (map (comp first csv/parse-csv) (line-seq file)))))
Better parse the whole file at ones to reduce code:
(defn take-csv
"Takes file name and reads data."
[fname]
(with-open [file (reader fname)]
(csv/parse-csv (slurp file))))
You also can use clojure.data.csv instead of clojure-csv.core. Only should rename parse-csv to take-csv in previous function.
(defn put-csv [fname table]
(with-open [file (writer fname)]
(csv/write-csv file table)))
With all the things you can do with .csv files, I suggest using clojure-csv or clojure.data.csv. I mostly use clojure-csv to read in a .csv file.
Here are some code snippets from a utility library I use with most of my Clojure programs.
from util.core
(ns util.core
^{:author "Charles M. Norton",
:doc "util is a Clojure utilities directory"}
(:require [clojure.string :as cstr])
(:import java.util.Date)
(:import java.io.File)
(:use clojure-csv.core))
(defn open-file
"Attempts to open a file and complains if the file is not present."
[file-name]
(let [file-data (try
(slurp file-name)
(catch Exception e (println (.getMessage e))))]
file-data))
(defn ret-csv-data
"Returns a lazy sequence generated by parse-csv.
Uses open-file which will return a nil, if
there is an exception in opening fnam.
parse-csv called on non-nil file, and that
data is returned."
[fnam]
(let [csv-file (open-file fnam)
inter-csv-data (if-not (nil? csv-file)
(parse-csv csv-file)
nil)
csv-data
(vec (filter #(and pos? (count %)
(not (nil? (rest %)))) inter-csv-data))]
(if-not (empty? csv-data)
(pop csv-data)
nil)))
(defn fetch-csv-data
"This function accepts a csv file name, and returns parsed csv data,
or returns nil if file is not present."
[csv-file]
(let [csv-data (ret-csv-data csv-file)]
csv-data))
Once you've read in a .csv file, then what you do with its contents is another matter. Usually, I am taking .csv "reports" from one financial system, like property assessments, and formatting the data to be uploaded into a database of another financial system, like billing.
I will often either zipmap
each .csv row so I can extract data by column name (having read in the column names), or even make a sequence of zipmap
'ped .csv rows.