TypeError:在从JSON文件提取密钥到CSV时，列表索引必须是整数或切片，而不是str

Question

我正在开发一个JSON文件来提取文本密钥并将其转换为CSV文件，因此我编写了一个python代码来处理这个问题

这是我写的python代码：

import json
import csv
with open("/Users/zahraa-maher/rasa-init-demo/venv/Tickie/external_data/frames2.json") as file:
data = json.load(file)
fname = "outputText.csv"
with open(fname, "w") as file:
csv_file = csv.writer(file,lineterminator='n')
csv_file.writerow(["text"])
for item in data["turns"]:
csv_file.writerow([item['text']])

这就是我看到的错误：

TypeError                                 Traceback (most recent call last)
<ipython-input-7-da84a92079de> in <module>
9     csv_file = csv.writer(file,lineterminator='n')
10     csv_file.writerow(["text"])
---> 11     for item in data["turns"]:
12         csv_file.writerow([item['text']])
TypeError: list indices must be integers or slices, not str

这也是子文件的一部分：

[
{
"user_id": "U22HTHYNP",
"turns": [
{
"text": "I'd like to book a trip to Atlantis from Caprica on Saturday, August 13, 2016 for 8 adults. I have a tight budget of 1700.",
"labels": {
"acts": [
{
"args": [
{
"val": "book",
"key": "intent"
}
],
"name": "inform"
},
{
"args": [
{
"val": "Atlantis",
"key": "dst_city"
},
{
"val": "Caprica",
"key": "or_city"
},
{
"val": "Saturday, August 13, 2016",
"key": "str_date"
},
{
"val": "8",
"key": "n_adults"
},
{
"val": "1700",
"key": "budget"
}
],
"name": "inform"
}
],
"acts_without_refs": [
{
"args": [
{
"val": "book",
"key": "intent"
}
],
"name": "inform"
},
{
"args": [
{
"val": "Atlantis",
"key": "dst_city"
},
{
"val": "Caprica",
"key": "or_city"
},
{
"val": "Saturday, August 13, 2016",
"key": "str_date"
},
{
"val": "8",
"key": "n_adults"
},
{
"val": "1700",
"key": "budget"
}
],
"name": "inform"
}
],
"active_frame": 1,
"frames": [
{
"info": {
"intent": [
{
"val": "book",
"negated": false
}
],
"budget": [
{
"val": "1700.0",
"negated": false
}
],
"dst_city": [
{
"val": "Atlantis",
"negated": false
}
],
"or_city": [
{
"val": "Caprica",
"negated": false
}
],
"str_date": [
{
"val": "august 13",
"negated": false
}
],
"n_adults": [
{
"val": "8",
"negated": false
}
]
},
"frame_id": 1,
"requests": [],
"frame_parent_id": null,
"binary_questions": [],
"compare_requests": []
}
]
},
"author": "user",
"timestamp": 1471272019730.0
},
{
"db": {
"result": [
[
{
"trip": {
"returning": {
"duration": {
"hours": 0,
"min": 51
},
"arrival": {
"hour": 10,
"year": 2016,
"day": 24,
"min": 51,
"month": 8
},
"departure": {
"hour": 10,
"year": 2016,
"day": 24,
"min": 0,
"month": 8
}
},
"seat": "ECONOMY",
"leaving": {
"duration": {
"hours": 0,
"min": 51
},
"arrival": {
"hour": 0,
"year": 2016,
"day": 16,
"min": 51,
"month": 8
},
"departure": {
"hour": 0,
"year": 2016,
"day": 16,
"min": 0,
"month": 8
}
},
"or_city": "Porto Alegre",
"duration_days": 9
},
"price": 2118.81,
"hotel": {
"gst_rating": 7.15,
"vicinity": [],
"name": "Scarlet Palms Resort",
"country": "Brazil",
"amenities": [
"FREE_BREAKFAST",
"FREE_PARKING",
"FREE_WIFI"
],
"dst_city": "Goiania",
"category": "3.5 star hotel"
}
},
{
"trip": {
"returning": {
"duration": {
"hours": 2,
"min": 37
},
"arrival": {
"hour": 12,
"year": 2016,
"day": 10,
"min": 37,
"month": 8
},
"departure": {
"hour": 10,
"year": 2016,
"day": 10,
"min": 0,
"month": 8
}
},
"seat": "ECONOMY",
"leaving": {
"duration": {
"hours": 2,
"min": 37
},
"arrival": {
"hour": 0,
"year": 2016,
"day": 4,
"min": 37,
"month": 8
},
"departure": {
"hour": 22,
"year": 2016,
"day": 3,
"min": 0,
"month": 8
}
},
"or_city": "Porto Alegre",
"duration_days": 7
},
"price": 2369.83,
"hotel": {
"gst_rating": 0,
"vicinity": [],
"name": "Sunway Hostel",
"country": "Argentina",
"amenities": [
"FREE_BREAKFAST",
"FREE_WIFI"
],
"dst_city": "Rosario",
"category": "2.0 star hotel"
}
},
{
"trip": {
"returning": {
"duration": {
"hours": 0,
"min": 51
},
"arrival": {
"hour": 10,
"year": 2016,
"day": 24,
"min": 51,
"month": 8
},
"departure": {
"hour": 10,
"year": 2016,
"day": 24,
"min": 0,
"month": 8
}
},
"seat": "BUSINESS",
"leaving": {
"duration": {
"hours": 0,
"min": 51
},
"arrival": {
"hour": 0,
"year": 2016,
"day": 16,
"min": 51,
"month": 8
},
"departure": {
"hour": 0,
"year": 2016,
"day": 16,
"min": 0,
"month": 8
}
},
"or_city": "Porto Alegre",
"duration_days": 9
},
"price": 2375.72,
"hotel": {
"gst_rating": 7.15,
"vicinity": [],
"name": "Scarlet Palms Resort",
"country": "Brazil",
"amenities": [
"FREE_BREAKFAST",
"FREE_PARKING",
"FREE_WIFI"
],
"dst_city": "Goiania",
"category": "3.5 star hotel"
}
},
{
"trip": {
"returning": {
"duration": {
"hours": 1,
"min": 30
},
"arrival": {
"hour": 11,
"year": 2016,
"day": 1,
"min": 30,
"month": 9
},
"departure": {
"hour": 10,
"year": 2016,
"day": 1,
"min": 0,
"month": 9
}
},
"seat": "BUSINESS",
"leaving": {
"duration": {
"hours": 1,
"min": 30
},
"arrival": {
"hour": 18,
"year": 2016,
"day": 19,
"min": 30,
"month": 8
},
"departure": {
"hour": 17,
"year": 2016,
"day": 19,
"min": 0,
"month": 8
}
},
"or_city": "Porto Alegre",
"duration_days": 13
},
"price": 2492.95,
"hotel": {
"gst_rating": 0,
"vicinity": [],
"name": "Hotel Mundo",
"country": "Brazil",
"amenities": [
"FREE_BREAKFAST",
"FREE_WIFI",
"FREE_PARKING"
],
"dst_city": "Manaus",
"category": "2.5 star hotel"
}
},
{
"trip": {
"returning": {
"duration": {
"hours": 0,
"min": 51
},
"arrival": {
"hour": 10,
"year": 2016,
"day": 31,
"min": 51,
"month": 8
},
"departure": {
"hour": 10,
"year": 2016,
"day": 31,
"min": 0,
"month": 8
}
},
"seat": "ECONOMY",
"leaving": {
"duration": {
"hours": 0,
"min": 51
},
"arrival": {
"hour": 19,
"year": 2016,
"day": 27,
"min": 51,
"month": 8
},
"departure": {
"hour": 19,
"year": 2016,
"day": 27,
"min": 0,
"month": 8
}
},
"or_city": "Porto Alegre",
"duration_days": 4
},
"price": 2538.0,
"hotel": {
"gst_rating": 8.22,
"vicinity": [],
"name": "The Glee",
"country": "Brazil",
"amenities": [
"FREE_BREAKFAST",
"FREE_WIFI"
],
"dst_city": "Recife",
"category": "4.0 star hotel"
}
}
],
[],
[],
[],
[],
[],
[]
],
"search": [
{
"ORIGIN_CITY": "Porto Alegre",
"PRICE_MIN": "2000",
"NUM_ADULTS": "2",
"timestamp": 1471271949.995,
"PRICE_MAX": "3000",
"ARE_DATES_FLEXIBLE": "true",
"NUM_CHILDREN": "5",
"START_TIME": "1470110400000",
"MAX_DURATION": 2592000000.0,
"DESTINATION_CITY": "Brazil",
"RESULT_LIMIT": "10",
"END_TIME": "1472616000000"
},
{
"ORIGIN_CITY": "Atlantis",
"NUM_ADULTS": "8",
"RESULT_LIMIT": "10",
"timestamp": 1471272148.124,
"PRICE_MAX": "1700",
"NUM_CHILDREN": "",
"ARE_DATES_FLEXIBLE": "true",
"START_TIME": "NaN",
"END_TIME": "NaN"
},
{
"ORIGIN_CITY": "Caprica",
"PRICE_MAX": "1700",
"NUM_ADULTS": "8",
"RESULT_LIMIT": "10",
"timestamp": 1471272189.07,
"DESTINATION_CITY": "Atlantis",
"NUM_CHILDREN": "",
"ARE_DATES_FLEXIBLE": "true",
"START_TIME": "1470715200000",
"END_TIME": "1472011200000"
},
{
"ORIGIN_CITY": "Caprica",
"PRICE_MAX": "1700",
"NUM_ADULTS": "8",
"RESULT_LIMIT": "10",
"timestamp": 1471272205.436,
"DESTINATION_CITY": "Atlantis",
"NUM_CHILDREN": "",
"ARE_DATES_FLEXIBLE": "true",
"START_TIME": "1470715200000",
"END_TIME": "1472011200000"
},
{
"ORIGIN_CITY": "Caprica",
"PRICE_MIN": "1700",
"NUM_ADULTS": "8",
"RESULT_LIMIT": "10",
"timestamp": 1471272278.72,
"DESTINATION_CITY": "Atlantis",
"NUM_CHILDREN": "",
"ARE_DATES_FLEXIBLE": "true",
"START_TIME": "1470715200000",
"END_TIME": "1472011200000"
},
{
"ORIGIN_CITY": "Caprica",
"PRICE_MIN": "1700",
"NUM_ADULTS": "8",
"RESULT_LIMIT": "10",
"timestamp": 1471272454.542,
"DESTINATION_CITY": "Atlantis",
"NUM_CHILDREN": "",
"ARE_DATES_FLEXIBLE": "true",
"START_TIME": "1471060800000",
"END_TIME": "1472011200000"
},
{
"ORIGIN_CITY": "Caprica",
"PRICE_MIN": "1700",
"NUM_ADULTS": "8",
"RESULT_LIMIT": "10",
"timestamp": 1471272466.008,
"DESTINATION_CITY": "Atlantis",
"NUM_CHILDREN": "",
"ARE_DATES_FLEXIBLE": "true",
"START_TIME": "1471060800000",
"END_TIME": "1472011200000"
}
]
},

有什么方法可以解决这个问题并从这个JSON数据集中提取我想要的东西吗？

注意：Json结构太长太大，数据太多，而我只需要文本，你可以从这里下载查看：https://drive.google.com/file/d/1tBVJ2xYSCpTTUGPJegvAz2ZXbeN0bteX/view?usp=sharing

请你是否可以通过编码风格的格式显示解决方案，因为如果你把它写成文本，它将无法正常工作，我也不理解

Answer 1

data['text']内部不包含任何进一步的字典，因此它不能循环通过