如何在Python中解析文本文件并转换为JSON
我有一个大文件,格式如下:如何在Python中解析文本文件并转换为JSON,python,json,scripting,Python,Json,Scripting,我有一个大文件,格式如下: "string in quotes" string string string number |- …这会重复一段时间。我正在尝试将其转换为JSON,因此每个块如下所示: "name": "string in quotes" "description": "string" "info": "string" "author": "string" "year": number def emit(batched): def _quotes(q):
"string in quotes"
string
string
string
number
|-
…这会重复一段时间。我正在尝试将其转换为JSON,因此每个块如下所示:
"name": "string in quotes"
"description": "string"
"info": "string"
"author": "string"
"year": number
def emit(batched):
def _quotes(q):
return q.replace('"', '')
def _pass(p):
return p
def _num(n):
try:
return int(n)
except ValueError:
return n
for n, (name, func) in enumerate([
('name', _quotes),
('description', _pass),
('info', _pass),
('author', _pass),
('year', _num)
]):
yield name, func(batched[n])
这就是我到目前为止所做的:
import shutil
import os
import urllib
myFile = open('unformatted.txt','r')
newFile = open("formatted.json", "w")
newFile.write('{'+'\n'+'list: {'+'\n')
for line in myFile:
newFile.write() // this is where I'm not sure what to write
newFile.write('}'+'\n'+'}')
myFile.close()
newFile.close()
我想我可以用行号模做一些事情,但我不确定这是否是正确的方法。我想这会奏效
import itertools
import json
with open('unformatted.txt', 'r') as f_in, open('formatted.json', 'w') as f_out:
for name, desc, info, author, yr, ignore in itertools.izip_longest(*[f_in]*6):
record = {
"name": '"' + name.strip() + '"',
"description": desc.strip(),
"info": info.strip(),
"author": author.strip(),
"year": int(yr.strip()),
}
f_out.write(json.dumps(record))
您可以使用itertools.groupby对所有部分进行分组,然后将dicts
json.dump
json文件:
from itertools import groupby
import json
names = ["name", "description","info","author", "year"]
with open("test.csv") as f, open("out.json","w") as out:
grouped = groupby(map(str.rstrip,f), key=lambda x: x.startswith("|-"))
for k,v in grouped:
if not k:
json.dump(dict(zip(names,v)),out)
out.write("\n")
输入:
"string in quotes"
string
string
string
number
|-
"other string in quotes"
string2
string2
string2
number2
输出:
{"author": "string", "name": "\"string in quotes\"", "description": "string", "info": "string", "year": "number"}
{"author": "string2", "name": "\"other string in quotes\"", "description": "string2", "info": "string2", "year": "number2"}
要访问,只需迭代文件并加载:
In [6]: with open("out.json") as out:
for line in out:
print(json.loads(line))
...:
{'name': '"string in quotes"', 'info': 'string', 'author': 'string', 'year': 'number', 'description': 'string'}
{'name': '"other string in quotes"', 'info': 'string2', 'author': 'string2', 'year': 'number2', 'description': 'string2'}
这是一个做基本工作的粗略示例 它首先使用一个生成器将输入拆分为多个批次(共6个),然后使用另一个批次将键添加到值中
import json
def read():
with open('input.txt', 'r') as f:
return [l.strip() for l in f.readlines()]
def batch(content, n=1):
length = len(content)
for num_idx in range(0, length, n):
yield content[num_idx:min(num_idx+n, length)]
def emit(batched):
for n, name in enumerate([
'name', 'description', 'info', 'author', 'year'
]):
yield name, batched[n]
content = read()
batched = batch(content, 6)
res = [dict(emit(b)) for b in batched]
print(res)
with open('output.json', 'w') as f:
f.write(json.dumps(res, indent=4))
更新
使用这种方法,您可以轻松地挂接格式化函数,以便年份和名称值是正确的
按如下方式扩展发射函数:
"name": "string in quotes"
"description": "string"
"info": "string"
"author": "string"
"year": number
def emit(batched):
def _quotes(q):
return q.replace('"', '')
def _pass(p):
return p
def _num(n):
try:
return int(n)
except ValueError:
return n
for n, (name, func) in enumerate([
('name', _quotes),
('description', _pass),
('info', _pass),
('author', _pass),
('year', _num)
]):
yield name, func(batched[n])
从您的文件中添加一些实际数据,什么是
|-
?如何确定哪一个是名称、描述等?所有部分的格式都是这样的:“John’s Website”是John及其家人的个人网站。使用的技术包括ReactJS、Less和Django。约翰·威廉姆斯2015 |-啊,对不起,断线没用。但是|-
只是文件是如何给出的,没有什么特别之处。它只是划分块。