我正在编写一个node.js脚本来组合目录中的所有json文件,并将结果存储为新的json文件。我尝试在很大程度上完成这项工作,但它没有什么缺陷。
A.json
[
{
"id": "addEmoticon1",
"description": "Message to greet the user.",
"defaultMessage": "Hello, {name}!"
},
{
"id": "addPhoto1",
"description": "How are youu.",
"defaultMessage": "How are you??"
}
]
B.json
[
{
"id": "close1",
"description": "Close it.",
"defaultMessage": "Close!"
}
]
我最终需要的是:
result.json
{
"addEmoticon1": "Hello, {name}!",
"addPhoto1": "How are you??",
"close1": "Close!"
}
我写了一个node.js脚本:
var fs = require('fs');
function readFiles(dirname, onFileContent, onError) {
fs.readdir(dirname, function(err, filenames) {
if (err) {
onError(err);
return;
}
filenames.forEach(function(filename) {
fs.readFile(dirname + filename, 'utf-8', function(err, content) {
if (err) {
onError(err);
return;
}
onFileContent(filename, content);
});
});
});
}
var data = {};
readFiles('C:/node/test/', function(filename, content) {
data[filename] = content;
var lines = content.split('\n');
lines.forEach(function(line) {
var parts = line.split('"');
if (parts[1] == 'id') {
fs.appendFile('result.json', parts[3]+': ', function (err) {});
}
if (parts[1] == 'defaultMessage') {
fs.appendFile('result.json', parts[3]+',\n', function (err) {});
}
});
}, function(err) {
throw err;
});
它提取了' id'和' defaultMessage'但无法正确追加。
我得到了什么:
result.json
addEmoticon1: addPhoto1: Hello, {name}!,
close1: How are you??,
Close!,
每次运行脚本时,此输出都不同。
目标1:用双引号括起来的物品,
目标2:在顶部和末尾添加花括号
目标3:最后一个元素末尾没有逗号
目标4:每次运行脚本时输出相同
答案 0 :(得分:5)
我将从完成的解决方案开始......
这个答案的结尾有一个很大的解释。让我们先尝试一下大局。
readdirp('.')
.fmap(filter(match(/\.json$/)))
.fmap(map(readfilep))
.fmap(map(fmap(JSON.parse)))
.fmap(concatp)
.fmap(flatten)
.fmap(reduce(createMap)({}))
.fmap(data=> JSON.stringify(data, null, '\t'))
.fmap(writefilep(resolve(__dirname, 'result.json')))
.then(filename=> console.log('wrote results to %s', filename), err=>console.error(err));
控制台输出
wrote results to /path/to/result.json
result.json
(我添加了c.json
一些数据,以证明这适用于2个以上的文件)
{
"addEmoticon1": "Hello, {name}!",
"addPhoto1": "How are you??",
"close1": "Close!",
"somethingelse": "Something!"
}
<强>实施强>
我为Promise
和readdir
以及readFile
writeFile
的界面
import {readdir, readFile, writeFile} from 'fs';
const readdirp = dir=>
new Promise((pass,fail)=>
readdir(dir, (err, filenames) =>
err ? fail(err) : pass(mapResolve (dir) (filenames))));
const readfilep = path=>
new Promise((pass,fail)=>
readFile(path, 'utf8', (err,data)=>
err ? fail(err) : pass(data)));
const writefilep = path=> data=>
new Promise((pass,fail)=>
writeFile(path, data, err=>
err ? fail(err) : pass(path)));
为了将函数映射到Promises,我们需要一个fmap
实用程序。请注意我们如何处理泡沫错误。
Promise.prototype.fmap = function fmap(f) {
return new Promise((pass,fail) =>
this.then(x=> pass(f(x)), fail));
};
以及其他实用程序
const fmap = f=> x=> x.fmap(f);
const mapResolve = dir=> map(x=>resolve(dir,x));
const map = f=> xs=> xs.map(x=> f(x));
const filter = f=> xs=> xs.filter(x=> f(x));
const match = re=> s=> re.test(s);
const concatp = xs=> Promise.all(xs);
const reduce = f=> y=> xs=> xs.reduce((y,x)=> f(y)(x), y);
const flatten = reduce(y=> x=> y.concat(Array.isArray(x) ? flatten (x) : x)) ([]);
最后,一个用于完成工作的自定义功能
const createMap = map=> ({id, defaultMessage})=>
Object.assign(map, {[id]: defaultMessage});
这里c.json
[
{
"id": "somethingelse",
"description": "something",
"defaultMessage": "Something!"
}
]
&#34;为什么这么多小功能?&#34;
尽管你可能会想到,但你有一个很大的问题。通过结合几个小解决方案解决了大问题。该代码最突出的优点是每个函数都有一个非常独特的目的,它将始终为相同的输入产生相同的结果。这意味着每个函数都可以在程序的其他位置使用。另一个优点是较小的功能更易于阅读,推理和调试。
将所有这些与此处给出的其他答案进行比较; @ BlazeSahlen尤其如此。超过60行代码基本上只能用来解决这个特定问题。它甚至不会过滤掉非JSON文件。因此,下次您需要在读/写文件时创建一系列操作时,您每次都必须重写这60行中的大部分。由于耗尽了样板,它会产生大量重复的代码和难以发现的错误。所有那些手动错误处理......哇,现在就杀了我。 他/她认为回调地狱很糟糕?哈哈,他/她刚刚创造了另一个地狱圈。
所有代码一起......
功能按照使用顺序(大致)显示
import {readdir, readFile, writeFile} from 'fs';
import {resolve} from 'path';
// logp: Promise<Value> -> Void
const logp = p=> p.then(x=> console.log(x), x=> console.err(x));
// fmap : Promise<a> -> (a->b) -> Promise<b>
Promise.prototype.fmap = function fmap(f) {
return new Promise((pass,fail) =>
this.then(x=> pass(f(x)), fail));
};
// fmap : (a->b) -> F<a> -> F<b>
const fmap = f=> x=> x.fmap(f);
// readdirp : String -> Promise<Array<String>>
const readdirp = dir=>
new Promise((pass,fail)=>
readdir(dir, (err, filenames) =>
err ? fail(err) : pass(mapResolve (dir) (filenames))));
// mapResolve : String -> Array<String> -> Array<String>
const mapResolve = dir=> map(x=>resolve(dir,x));
// map : (a->b) -> Array<a> -> Array<b>
const map = f=> xs=> xs.map(x=> f(x));
// filter : (Value -> Boolean) -> Array<Value> -> Array<Value>
const filter = f=> xs=> xs.filter(x=> f(x));
// match : RegExp -> String -> Boolean
const match = re=> s=> re.test(s);
// readfilep : String -> Promise<String>
const readfilep = path=>
new Promise((pass,fail)=>
readFile(path, 'utf8', (err,data)=>
err ? fail(err) : pass(data)));
// concatp : Array<Promise<Value>> -> Array<Value>
const concatp = xs=> Promise.all(xs);
// reduce : (b->a->b) -> b -> Array<a> -> b
const reduce = f=> y=> xs=> xs.reduce((y,x)=> f(y)(x), y);
// flatten : Array<Array<Value>> -> Array<Value>
const flatten = reduce(y=> x=> y.concat(Array.isArray(x) ? flatten (x) : x)) ([]);
// writefilep : String -> Value -> Promise<String>
const writefilep = path=> data=>
new Promise((pass,fail)=>
writeFile(path, data, err=>
err ? fail(err) : pass(path)));
// -----------------------------------------------------------------------------
// createMap : Object -> Object -> Object
const createMap = map=> ({id, defaultMessage})=>
Object.assign(map, {[id]: defaultMessage});
// do it !
readdirp('.')
.fmap(filter(match(/\.json$/)))
.fmap(map(readfilep))
.fmap(map(fmap(JSON.parse)))
.fmap(concatp)
.fmap(flatten)
.fmap(reduce(createMap)({}))
.fmap(data=> JSON.stringify(data, null, '\t'))
.fmap(writefilep(resolve(__dirname, 'result.json')))
.then(filename=> console.log('wrote results to %s', filename), err=>console.error(err));
继续遇到问题?
一开始看这些事情是如何运作的并不容易。这是一个特别棘手的问题,因为数据很快就会嵌套。值得庆幸的是,并不意味着我们的代码必须是一个大的嵌套混乱只是为了解决问题!请注意,即使我们正在处理像JSON的承诺数组的承诺这样的事情,代码也会保持良好和平坦......
// Here we are reading directory '.'
// We will get a Promise<Array<String>>
// Let's say the files are 'a.json', 'b.json', 'c.json', and 'run.js'
// Promise will look like this:
// Promise<['a.json', 'b.json', 'c.json', 'run.js']>
readdirp('.')
// Now we're going to strip out any non-JSON files
// Promise<['a.json', 'b.json', 'c.json']>
.fmap(filter(match(/\.json$/)))
// call `readfilep` on each of the files
// We will get <Promise<Array<Promise<JSON>>>>
// Don't freak out, it's not that bad!
// Promise<[Promise<JSON>, Promise<JSON>. Promise<JSON>]>
.fmap(map(readfilep))
// for each file's Promise, we want to parse the data as JSON
// JSON.parse returns an object, so the structure will be the same
// except JSON will be an object!
// Promise<[Promise<Object>, Promise<Object>, Promise<Object>]>
.fmap(map(fmap(JSON.parse)))
// Now we can start collapsing some of the structure
// `concatp` will convert Array<Promise<Value>> to Array<Value>
// We will get
// Promise<[Object, Object, Object]>
// Remember, we have 3 Objects; one for each parsed JSON file
.fmap(concatp)
// Your particular JSON structures are Arrays, which are also Objects
// so that means `concatp` will actually return Promise<[Array, Array, Array]
// but we'd like to flatten that
// that way each parsed JSON file gets mushed into a single data set
// after flatten, we will have
// Promise<Array<Object>>
.fmap(flatten)
// Here's where it all comes together
// now that we have a single Promise of an Array containing all of your objects ...
// We can simply reduce the array and create the mapping of key:values that you wish
// `createMap` is custom tailored for the mapping you need
// we initialize the `reduce` with an empty object, {}
// after it runs, we will have Promise<Object>
// where Object is your result
.fmap(reduce(createMap)({}))
// It's all downhill from here
// We currently have Promise<Object>
// but before we write that to a file, we need to convert it to JSON
// JSON.stringify(data, null, '\t') will pretty print the JSON using tab to indent
// After this, we will have Promise<JSON>
.fmap(data=> JSON.stringify(data, null, '\t'))
// Now that we have a JSON, we can easily write this to a file
// We'll use `writefilep` to write the result to `result.json` in the current working directory
// I wrote `writefilep` to pass the filename on success
// so when this finishes, we will have
// Promise<Path>
// You could have it return Promise<Void> like writeFile sends void to the callback. up to you.
.fmap(writefilep(resolve(__dirname, 'result.json')))
// the grand finale
// alert the user that everything is done (or if an error occurred)
// Remember `.then` is like a fork in the road:
// the code will go to the left function on success, and the right on failure
// Here, we're using a generic function to say we wrote the file out
// If a failure happens, we write that to console.error
.then(filename=> console.log('wrote results to %s', filename), err=>console.error(err));
全部完成!
答案 1 :(得分:1)
假定的文件是数组列表; [a,b,...];
var res = {};
files.reduce((a, b) => a.concat(b), []).forEach(o => res[o.id] = o.defaultMessage);
但你不需要立刻获得所有文件
只需将此代码添加到onFileContent
回调。
JSON.parse(fileContent).forEach(o => res[o.id] = o.defaultMessage);
此外,您应该向readFiles
添加任何最终回调
在这个回调中:
fs.writeFile('result.json', JSON.stringify(res));
所以,最终的解决方案:
var fs = require('fs');
function task(dir, it, cb) {
fs.readdir(dir, (err, names) => {
if (err) return cb([err]);
var errors = [], c = names.length;
names.forEach(name => {
fs.readFile(dir + name, 'utf-8', (err, data) => {
if (err) return errors.push(err);
try {
it(JSON.parse(data)); // We get a file data!
} catch(e) {
errors.push('Invalid json in ' + name + ': '+e.message);
}
if (!--c) cb(errors); // We are finish
});
});
});
}
var res = {};
task('C:/node/test/', (data) => data.forEach(o => res[o.id] = o.defaultMessage), (errors) => {
// Some files can be wrong
errors.forEach(err => console.error(err));
// But we anyway write received data
fs.writeFile('C:/node/test/result.json', JSON.stringify(res), (err) => {
if (err) console.error(err);
else console.log('Task finished. see results.json');
})
});
答案 2 :(得分:0)
这应该在变量a和b中包含json后执行:
var a = [
{
"id": "addEmoticon1",
"description": "Message to greet the user.",
"defaultMessage": "Hello, {name}!"
},
{
"id": "addPhoto1",
"description": "How are youu.",
"defaultMessage": "How are you??"
}
];
var b = [
{
"id": "close1",
"description": "Close it.",
"defaultMessage": "Close!"
}
];
var c = a.concat(b);
var res = []
for (var i = 0; i < c.length; i++){
res[ c[i].id ] = c[i].defaultMessage;
}
console.log(res);
答案 3 :(得分:0)
这是我的解决方案:
function readFiles(dirname, onFileContent, onError) {
fs.readdir(dirname, function(err, filenames) {
/**
* We'll store the parsed JSON data in this array
* @type {Array}
*/
var fileContent = [];
if (err) {
onError(err);
} else {
filenames.forEach(function(filename) {
// Reading the file (synchronously) and storing the parsed JSON output (parsing from string to JSON object)
var jsonObject = JSON.parse(fs.readFileSync(dirname + filename, 'utf-8'));
// Pushing the parsed JSON output into array
fileContent.push(jsonObject);
});
// Calling the callback
onFileContent(fileContent);
}
});
}
readFiles('./files/',function(fileContent) {
/**
* We'll store the final output object here
* @type {Object}
*/
var output = {};
// Loop over the JSON objects
fileContent.forEach(function(each) {
// Looping within each object
for (var index in each) {
// Copying the `id` as key and the `defaultMessage` as value and storing in output object
output[each[index].id] = each[index].defaultMessage;
}
});
// Writing the file (synchronously) after converting the JSON object back to string
fs.writeFileSync('result.json', JSON.stringify(output));
}, function(err) {
throw err;
});
值得注意的是,我不使用了异步readFile
和writeFile
函数,因为它们不必要地使示例复杂化。此示例旨在展示使用JSON.parse
和JSON.stringify
来执行OP所需的操作。
<强>更新强>
var fs = require('fs');
function readFiles(dirname, onEachFilename, onComplete) {
fs.readdir(dirname, function(err, filenames) {
if (err) {
throw err;
} else {
// Prepending the dirname to each filename
filenames.forEach(function(each, index, array) {
array[index] = dirname + each;
});
// Calling aync.map which accepts these parameters:
// filenames <-------- array of filenames
// onEachFilename <--- function which will be applied on each filename
// onComplete <------- function to call when the all elements of filenames array have been processed
require('async').map(filenames, onEachFilename, onComplete);
}
});
}
readFiles('./files/', function(item, callback) {
// Read the file asynchronously
fs.readFile(item, function(err, data) {
if (err) {
callback(err);
} else {
callback(null, JSON.parse(data));
}
});
}, function(err, results) {
/**
* We'll store the final output object here
* @type {Object}
*/
var output = {};
if (err) {
throw err;
} else {
// Loop over the JSON objects
results.forEach(function(each) {
// Looping within each object
for (var index in each) {
// Copying the `id` as key and the `defaultMessage` as value and storing in output object
output[each[index].id] = each[index].defaultMessage;
}
});
// Writing the file (synchronously) after converting the JSON object back to string
fs.writeFileSync('result.json', JSON.stringify(output));
}
});
这是使用readFile
的简单异步实现。有关详细信息,请async.map。