使用 Scrapy 从 <script> 标签中提取多行 javascript 内容
Extract multi-line javascript content from <script> tag using Scrapy
我正在尝试使用 Scrapy 从这个脚本标签中提取数据：
<script>
var hardwareTemplateFunctions;
var storefrontContextUrl = '';
jq(function() {
var data = new Object();
data.hardwareProductCode = '9054832';
data.offeringCode = 'SMART_BASIC.TLF12PLEAS';
data.defaultTab = '';
data.categoryId = 10001;
data.bundles = new Object();
data.bundles['SMART_SUPERX.TLF12PLEAS'] = {
signupFee: parsePrice('0'),
newMsisdnFee: parsePrice('199'),
upfrontPrice: parsePrice('1099'),
monthlyPrice: parsePrice('499'),
commitmentTime: parsePrice('12'),
offeringTitle: 'SMART Super',
offeringType: 'VOICE',
monthlyPrice: parsePrice('499'),
commitmentTime: 12
};
data.bundles['SMART_PLUSS.TLF12PLEAS'] = {
signupFee: parsePrice('0'),
newMsisdnFee: parsePrice('199'),
upfrontPrice: parsePrice('1599'),
monthlyPrice: parsePrice('399'),
commitmentTime: parsePrice('12'),
offeringTitle: 'SMART Pluss',
offeringType: 'VOICE',
monthlyPrice: parsePrice('399'),
commitmentTime: 12
};
data.bundles['SMART_BASIC.TLF12PLEAS'] = {
signupFee: parsePrice('0'),
newMsisdnFee: parsePrice('199'),
upfrontPrice: parsePrice('2199'),
monthlyPrice: parsePrice('299'),
commitmentTime: parsePrice('12'),
offeringTitle: 'SMART Basis',
offeringType: 'VOICE',
monthlyPrice: parsePrice('299'),
commitmentTime: 12
};
data.bundles['SMART_MINI.TLF12PLEAS'] = {
signupFee: parsePrice('0'),
newMsisdnFee: parsePrice('199'),
upfrontPrice: parsePrice('2999'),
monthlyPrice: parsePrice('199'),
commitmentTime: parsePrice('12'),
offeringTitle: 'SMART Mini',
offeringType: 'VOICE',
monthlyPrice: parsePrice('199'),
commitmentTime: 12
};
data.bundles['KONTANT_KOMPLETT.REGULAR'] = {
signupFee: parsePrice('0'),
newMsisdnFee: parsePrice('0'),
upfrontPrice: parsePrice('3499'),
monthlyPrice: parsePrice('0'),
commitmentTime: parsePrice('0'),
offeringTitle: 'SMART Kontant',
offeringType: 'PREPAID',
monthlyPrice: parsePrice('0'),
commitmentTime: 0
};
data.reviewJson = new Object();
hardwareTemplateFunctions = hardwareTemplateFunctions(data);
hardwareTemplateFunctions.init();
data.reviewSummaryBox = hardwareTemplateFunctions.reviewSummaryBox;
accessoryFunctions(data).init();
additionalServiceFunctions(data).init();
});
function parsePrice(str) {
var price = parseFloat(str);
return isNaN(price) ? 0 : price;
}
var offerings = {};
</script>
我想从每个部分获取数据，如下所示：
data.bundles['SMART_SUPERX.TLF12PLEAS'] = {
signupFee: parsePrice('0'),
newMsisdnFee: parsePrice('199'),
upfrontPrice: parsePrice('1099'),
monthlyPrice: parsePrice('499'),
commitmentTime: parsePrice('12'),
offeringTitle: 'SMART Super',
offeringType: 'VOICE',
monthlyPrice: parsePrice('499'),
commitmentTime: 12
};
然后从每个字段中获取数据并从 upfrontPrice 中获取最终数据（例如本例中的 1099）。
我试过使用这个获取每个对象：
items = response.xpath('//script/text()').re("data.bundles\[.*\](.*)")
然而那只给我第一行数据。 (= {)。那我该怎么做呢？有没有更好的方法从脚本标签中提取这些数据？
编辑： 当我使用 items = response.xpath('//script/text()').re("data.bundles\[.*\] = {((?s).*) };") 时，我似乎只得到最后一个块（带有 data.bundles['KONTANT_KOMPLETT.REGULAR'] 的块）
我如何获得所有这些的列表？
此脚本需要安装 Mozilla Firefox and python-selenium，我还使用名为 script.txt 的文件进行了测试，该文件包含被标记包围的脚本。这是代码：
from selenium import webdriver
script_content = open("script.txt").read()
#Removing script tags
exec_script = script_content.replace("<script>", "").replace("</script>", "")
#Removing jq function call
exec_script = exec_script.replace("jq(function() {", "").replace("});", "")
#Setting some helper functions to avoid javascript errors
helper_functions = """function hardwareTemplateFunctions(){
return {init: function(){}};};
accessoryFunctions = additionalServiceFunctions =
hardwareTemplateFunctions;"""
#Returning data variable
return_statement = "return data;"
wd = webdriver.Firefox()
#Getting data variable in result
result = wd.execute_script(helper_functions + exec_script + return_statement)
结果变量如下所示：
{u'bundles': {u'KONTANT_KOMPLETT.REGULAR': {u'commitmentTime': 0,
u'monthlyPrice': 0,
u'newMsisdnFee': 0,
u'offeringTitle': u'SMART Kontant',
u'offeringType': u'PREPAID',
u'signupFee': 0,
u'upfrontPrice': 3499},
u'SMART_BASIC.TLF12PLEAS': {u'commitmentTime': 12,
u'monthlyPrice': 299,
u'newMsisdnFee': 199,
u'offeringTitle': u'SMART Basis',
u'offeringType': u'VOICE',
u'signupFee': 0,
u'upfrontPrice': 2199},
u'SMART_MINI.TLF12PLEAS': {u'commitmentTime': 12,
u'monthlyPrice': 199,
u'newMsisdnFee': 199,
u'offeringTitle': u'SMART Mini',
u'offeringType': u'VOICE',
u'signupFee': 0,
u'upfrontPrice': 2999},
u'SMART_PLUSS.TLF12PLEAS': {u'commitmentTime': 12,
u'monthlyPrice': 399,
u'newMsisdnFee': 199,
u'offeringTitle': u'SMART Pluss',
u'offeringType': u'VOICE',
u'signupFee': 0,
u'upfrontPrice': 1599},
u'SMART_SUPERX.TLF12PLEAS': {u'commitmentTime': 12,
u'monthlyPrice': 499,
u'newMsisdnFee': 199,
u'offeringTitle': u'SMART Super',
u'offeringType': u'VOICE',
u'signupFee': 0,
u'upfrontPrice': 1099}},
u'categoryId': 10001,
u'defaultTab': u'',
u'hardwareProductCode': u'9054832',
u'offeringCode': u'SMART_BASIC.TLF12PLEAS',
u'reviewJson': {},
u'reviewSummaryBox': None}
以下正则表达式似乎是正确的：
r"data\.bundles\[[^\]]*\] = {([^}]*)}"
正则表达式中的 * 是贪婪的——它总是会尽可能多地匹配，所以我使用 [^\]] 来确保我会匹配最接近的 ]。我用 {} 括号做同样的事情。此外，我不必担心 . 不匹配换行符。
如果您不想使用正则表达式，可以使用 js2xml，它会解析 Javascript 代码并将其转换为 lxml 文档。
然后您可以使用 XPath 从 Javascript 语句中查询内容。
（免责声明：我编写并维护了 js2xml）
以下是关于如何获得这些 data.bundles 分配的示例代码：
import scrapy
selector = scrapy.Selector(text="""<script>
var hardwareTemplateFunctions;
var storefrontContextUrl = '';
jq(function() {
var data = new Object();
data.hardwareProductCode = '9054832';
data.offeringCode = 'SMART_BASIC.TLF12PLEAS';
data.defaultTab = '';
data.categoryId = 10001;
data.bundles = new Object();
data.bundles['SMART_SUPERX.TLF12PLEAS'] = {
signupFee: parsePrice('0'),
newMsisdnFee: parsePrice('199'),
upfrontPrice: parsePrice('1099'),
monthlyPrice: parsePrice('499'),
commitmentTime: parsePrice('12'),
offeringTitle: 'SMART Super',
offeringType: 'VOICE',
monthlyPrice: parsePrice('499'),
commitmentTime: 12
};
data.bundles['SMART_PLUSS.TLF12PLEAS'] = {
signupFee: parsePrice('0'),
newMsisdnFee: parsePrice('199'),
upfrontPrice: parsePrice('1599'),
monthlyPrice: parsePrice('399'),
commitmentTime: parsePrice('12'),
offeringTitle: 'SMART Pluss',
offeringType: 'VOICE',
monthlyPrice: parsePrice('399'),
commitmentTime: 12
};
data.bundles['SMART_BASIC.TLF12PLEAS'] = {
signupFee: parsePrice('0'),
newMsisdnFee: parsePrice('199'),
upfrontPrice: parsePrice('2199'),
monthlyPrice: parsePrice('299'),
commitmentTime: parsePrice('12'),
offeringTitle: 'SMART Basis',
offeringType: 'VOICE',
monthlyPrice: parsePrice('299'),
commitmentTime: 12
};
data.bundles['SMART_MINI.TLF12PLEAS'] = {
signupFee: parsePrice('0'),
newMsisdnFee: parsePrice('199'),
upfrontPrice: parsePrice('2999'),
monthlyPrice: parsePrice('199'),
commitmentTime: parsePrice('12'),
offeringTitle: 'SMART Mini',
offeringType: 'VOICE',
monthlyPrice: parsePrice('199'),
commitmentTime: 12
};
data.bundles['KONTANT_KOMPLETT.REGULAR'] = {
signupFee: parsePrice('0'),
newMsisdnFee: parsePrice('0'),
upfrontPrice: parsePrice('3499'),
monthlyPrice: parsePrice('0'),
commitmentTime: parsePrice('0'),
offeringTitle: 'SMART Kontant',
offeringType: 'PREPAID',
monthlyPrice: parsePrice('0'),
commitmentTime: 0
};
data.reviewJson = new Object();
hardwareTemplateFunctions = hardwareTemplateFunctions(data);
hardwareTemplateFunctions.init();
data.reviewSummaryBox = hardwareTemplateFunctions.reviewSummaryBox;
accessoryFunctions(data).init();
additionalServiceFunctions(data).init();
});
function parsePrice(str) {
var price = parseFloat(str);
return isNaN(price) ? 0 : price;
}
var offerings = {};
</script>""")
（第一部分是在 Scrapy Selector 中获取 HTML 输入）
import js2xml
import pprint
data_bundles = {}
for script in selector.xpath('//script/text()').extract():
# this is how you turn Javascript code into an XML document (lxml document in fact)
jstree = js2xml.parse(script)
# then, we're interested in assignments of data.bundles object
for a in jstree.xpath('//assign[left//property/identifier/@name="bundles" and right/object]'):
# the assigned property is give by a <string> property from a <bracketaccessor>
bundle_prop = a.xpath('./left/bracketaccessor/property/string/text()')
if bundle_prop is not None:
curr_prop = bundle_prop[0]
data_bundles[curr_prop] = {}
# the left object is assigned an object (inside a <right> element)
# let's loop on the <property> elements)
# the values are either numbers or string arguments of a function call
for prop in a.xpath('./right/object/property'):
data_bundles[curr_prop][prop.xpath('@name')[0]] = prop.xpath('.//number/@value | .//string/text()')[0]
pprint.pprint(data_bundles)
这就是你从中得到的：
{'KONTANT_KOMPLETT.REGULAR': {'commitmentTime': '0',
'monthlyPrice': '0',
'newMsisdnFee': '0',
'offeringTitle': 'SMART Kontant',
'offeringType': 'PREPAID',
'signupFee': '0',
'upfrontPrice': '3499'},
'SMART_BASIC.TLF12PLEAS': {'commitmentTime': '12',
'monthlyPrice': '299',
'newMsisdnFee': '199',
'offeringTitle': 'SMART Basis',
'offeringType': 'VOICE',
'signupFee': '0',
'upfrontPrice': '2199'},
'SMART_MINI.TLF12PLEAS': {'commitmentTime': '12',
'monthlyPrice': '199',
'newMsisdnFee': '199',
'offeringTitle': 'SMART Mini',
'offeringType': 'VOICE',
'signupFee': '0',
'upfrontPrice': '2999'},
'SMART_PLUSS.TLF12PLEAS': {'commitmentTime': '12',
'monthlyPrice': '399',
'newMsisdnFee': '199',
'offeringTitle': 'SMART Pluss',
'offeringType': 'VOICE',
'signupFee': '0',
'upfrontPrice': '1599'},
'SMART_SUPERX.TLF12PLEAS': {'commitmentTime': '12',
'monthlyPrice': '499',
'newMsisdnFee': '199',
'offeringTitle': 'SMART Super',
'offeringType': 'VOICE',
'signupFee': '0',
'upfrontPrice': '1099'}}
有关使用 js2xml.parse() 获得的 XML 架构的更多信息，您可以查看 https://github.com/redapple/js2xml/blob/master/SCHEMA.rst
我正在尝试使用 Scrapy 从这个脚本标签中提取数据：
<script>
var hardwareTemplateFunctions;
var storefrontContextUrl = '';
jq(function() {
var data = new Object();
data.hardwareProductCode = '9054832';
data.offeringCode = 'SMART_BASIC.TLF12PLEAS';
data.defaultTab = '';
data.categoryId = 10001;
data.bundles = new Object();
data.bundles['SMART_SUPERX.TLF12PLEAS'] = {
signupFee: parsePrice('0'),
newMsisdnFee: parsePrice('199'),
upfrontPrice: parsePrice('1099'),
monthlyPrice: parsePrice('499'),
commitmentTime: parsePrice('12'),
offeringTitle: 'SMART Super',
offeringType: 'VOICE',
monthlyPrice: parsePrice('499'),
commitmentTime: 12
};
data.bundles['SMART_PLUSS.TLF12PLEAS'] = {
signupFee: parsePrice('0'),
newMsisdnFee: parsePrice('199'),
upfrontPrice: parsePrice('1599'),
monthlyPrice: parsePrice('399'),
commitmentTime: parsePrice('12'),
offeringTitle: 'SMART Pluss',
offeringType: 'VOICE',
monthlyPrice: parsePrice('399'),
commitmentTime: 12
};
data.bundles['SMART_BASIC.TLF12PLEAS'] = {
signupFee: parsePrice('0'),
newMsisdnFee: parsePrice('199'),
upfrontPrice: parsePrice('2199'),
monthlyPrice: parsePrice('299'),
commitmentTime: parsePrice('12'),
offeringTitle: 'SMART Basis',
offeringType: 'VOICE',
monthlyPrice: parsePrice('299'),
commitmentTime: 12
};
data.bundles['SMART_MINI.TLF12PLEAS'] = {
signupFee: parsePrice('0'),
newMsisdnFee: parsePrice('199'),
upfrontPrice: parsePrice('2999'),
monthlyPrice: parsePrice('199'),
commitmentTime: parsePrice('12'),
offeringTitle: 'SMART Mini',
offeringType: 'VOICE',
monthlyPrice: parsePrice('199'),
commitmentTime: 12
};
data.bundles['KONTANT_KOMPLETT.REGULAR'] = {
signupFee: parsePrice('0'),
newMsisdnFee: parsePrice('0'),
upfrontPrice: parsePrice('3499'),
monthlyPrice: parsePrice('0'),
commitmentTime: parsePrice('0'),
offeringTitle: 'SMART Kontant',
offeringType: 'PREPAID',
monthlyPrice: parsePrice('0'),
commitmentTime: 0
};
data.reviewJson = new Object();
hardwareTemplateFunctions = hardwareTemplateFunctions(data);
hardwareTemplateFunctions.init();
data.reviewSummaryBox = hardwareTemplateFunctions.reviewSummaryBox;
accessoryFunctions(data).init();
additionalServiceFunctions(data).init();
});
function parsePrice(str) {
var price = parseFloat(str);
return isNaN(price) ? 0 : price;
}
var offerings = {};
</script>
我想从每个部分获取数据，如下所示：
data.bundles['SMART_SUPERX.TLF12PLEAS'] = {
signupFee: parsePrice('0'),
newMsisdnFee: parsePrice('199'),
upfrontPrice: parsePrice('1099'),
monthlyPrice: parsePrice('499'),
commitmentTime: parsePrice('12'),
offeringTitle: 'SMART Super',
offeringType: 'VOICE',
monthlyPrice: parsePrice('499'),
commitmentTime: 12
};
然后从每个字段中获取数据并从 upfrontPrice 中获取最终数据（例如本例中的 1099）。
我试过使用这个获取每个对象：
items = response.xpath('//script/text()').re("data.bundles\[.*\](.*)")
然而那只给我第一行数据。 (= {)。那我该怎么做呢？有没有更好的方法从脚本标签中提取这些数据？
编辑： 当我使用 items = response.xpath('//script/text()').re("data.bundles\[.*\] = {((?s).*) };") 时，我似乎只得到最后一个块（带有 data.bundles['KONTANT_KOMPLETT.REGULAR'] 的块）
我如何获得所有这些的列表？
此脚本需要安装 Mozilla Firefox and python-selenium，我还使用名为 script.txt 的文件进行了测试，该文件包含被标记包围的脚本。这是代码：
from selenium import webdriver
script_content = open("script.txt").read()
#Removing script tags
exec_script = script_content.replace("<script>", "").replace("</script>", "")
#Removing jq function call
exec_script = exec_script.replace("jq(function() {", "").replace("});", "")
#Setting some helper functions to avoid javascript errors
helper_functions = """function hardwareTemplateFunctions(){
return {init: function(){}};};
accessoryFunctions = additionalServiceFunctions =
hardwareTemplateFunctions;"""
#Returning data variable
return_statement = "return data;"
wd = webdriver.Firefox()
#Getting data variable in result
result = wd.execute_script(helper_functions + exec_script + return_statement)
结果变量如下所示：
{u'bundles': {u'KONTANT_KOMPLETT.REGULAR': {u'commitmentTime': 0,
u'monthlyPrice': 0,
u'newMsisdnFee': 0,
u'offeringTitle': u'SMART Kontant',
u'offeringType': u'PREPAID',
u'signupFee': 0,
u'upfrontPrice': 3499},
u'SMART_BASIC.TLF12PLEAS': {u'commitmentTime': 12,
u'monthlyPrice': 299,
u'newMsisdnFee': 199,
u'offeringTitle': u'SMART Basis',
u'offeringType': u'VOICE',
u'signupFee': 0,
u'upfrontPrice': 2199},
u'SMART_MINI.TLF12PLEAS': {u'commitmentTime': 12,
u'monthlyPrice': 199,
u'newMsisdnFee': 199,
u'offeringTitle': u'SMART Mini',
u'offeringType': u'VOICE',
u'signupFee': 0,
u'upfrontPrice': 2999},
u'SMART_PLUSS.TLF12PLEAS': {u'commitmentTime': 12,
u'monthlyPrice': 399,
u'newMsisdnFee': 199,
u'offeringTitle': u'SMART Pluss',
u'offeringType': u'VOICE',
u'signupFee': 0,
u'upfrontPrice': 1599},
u'SMART_SUPERX.TLF12PLEAS': {u'commitmentTime': 12,
u'monthlyPrice': 499,
u'newMsisdnFee': 199,
u'offeringTitle': u'SMART Super',
u'offeringType': u'VOICE',
u'signupFee': 0,
u'upfrontPrice': 1099}},
u'categoryId': 10001,
u'defaultTab': u'',
u'hardwareProductCode': u'9054832',
u'offeringCode': u'SMART_BASIC.TLF12PLEAS',
u'reviewJson': {},
u'reviewSummaryBox': None}
以下正则表达式似乎是正确的：
r"data\.bundles\[[^\]]*\] = {([^}]*)}"
* 是贪婪的——它总是会尽可能多地匹配，所以我使用 [^\]] 来确保我会匹配最接近的 ]。我用 {} 括号做同样的事情。此外，我不必担心 . 不匹配换行符。
如果您不想使用正则表达式，可以使用 js2xml，它会解析 Javascript 代码并将其转换为 lxml 文档。 然后您可以使用 XPath 从 Javascript 语句中查询内容。 （免责声明：我编写并维护了 js2xml）
以下是关于如何获得这些 data.bundles 分配的示例代码：
import scrapy
selector = scrapy.Selector(text="""<script>
var hardwareTemplateFunctions;
var storefrontContextUrl = '';
jq(function() {
var data = new Object();
data.hardwareProductCode = '9054832';
data.offeringCode = 'SMART_BASIC.TLF12PLEAS';
data.defaultTab = '';
data.categoryId = 10001;
data.bundles = new Object();
data.bundles['SMART_SUPERX.TLF12PLEAS'] = {
signupFee: parsePrice('0'),
newMsisdnFee: parsePrice('199'),
upfrontPrice: parsePrice('1099'),
monthlyPrice: parsePrice('499'),
commitmentTime: parsePrice('12'),
offeringTitle: 'SMART Super',
offeringType: 'VOICE',
monthlyPrice: parsePrice('499'),
commitmentTime: 12
};
data.bundles['SMART_PLUSS.TLF12PLEAS'] = {
signupFee: parsePrice('0'),
newMsisdnFee: parsePrice('199'),
upfrontPrice: parsePrice('1599'),
monthlyPrice: parsePrice('399'),
commitmentTime: parsePrice('12'),
offeringTitle: 'SMART Pluss',
offeringType: 'VOICE',
monthlyPrice: parsePrice('399'),
commitmentTime: 12
};
data.bundles['SMART_BASIC.TLF12PLEAS'] = {
signupFee: parsePrice('0'),
newMsisdnFee: parsePrice('199'),
upfrontPrice: parsePrice('2199'),
monthlyPrice: parsePrice('299'),
commitmentTime: parsePrice('12'),
offeringTitle: 'SMART Basis',
offeringType: 'VOICE',
monthlyPrice: parsePrice('299'),
commitmentTime: 12
};
data.bundles['SMART_MINI.TLF12PLEAS'] = {
signupFee: parsePrice('0'),
newMsisdnFee: parsePrice('199'),
upfrontPrice: parsePrice('2999'),
monthlyPrice: parsePrice('199'),
commitmentTime: parsePrice('12'),
offeringTitle: 'SMART Mini',
offeringType: 'VOICE',
monthlyPrice: parsePrice('199'),
commitmentTime: 12
};
data.bundles['KONTANT_KOMPLETT.REGULAR'] = {
signupFee: parsePrice('0'),
newMsisdnFee: parsePrice('0'),
upfrontPrice: parsePrice('3499'),
monthlyPrice: parsePrice('0'),
commitmentTime: parsePrice('0'),
offeringTitle: 'SMART Kontant',
offeringType: 'PREPAID',
monthlyPrice: parsePrice('0'),
commitmentTime: 0
};
data.reviewJson = new Object();
hardwareTemplateFunctions = hardwareTemplateFunctions(data);
hardwareTemplateFunctions.init();
data.reviewSummaryBox = hardwareTemplateFunctions.reviewSummaryBox;
accessoryFunctions(data).init();
additionalServiceFunctions(data).init();
});
function parsePrice(str) {
var price = parseFloat(str);
return isNaN(price) ? 0 : price;
}
var offerings = {};
</script>""")
（第一部分是在 Scrapy Selector 中获取 HTML 输入）
import js2xml
import pprint
data_bundles = {}
for script in selector.xpath('//script/text()').extract():
# this is how you turn Javascript code into an XML document (lxml document in fact)
jstree = js2xml.parse(script)
# then, we're interested in assignments of data.bundles object
for a in jstree.xpath('//assign[left//property/identifier/@name="bundles" and right/object]'):
# the assigned property is give by a <string> property from a <bracketaccessor>
bundle_prop = a.xpath('./left/bracketaccessor/property/string/text()')
if bundle_prop is not None:
curr_prop = bundle_prop[0]
data_bundles[curr_prop] = {}
# the left object is assigned an object (inside a <right> element)
# let's loop on the <property> elements)
# the values are either numbers or string arguments of a function call
for prop in a.xpath('./right/object/property'):
data_bundles[curr_prop][prop.xpath('@name')[0]] = prop.xpath('.//number/@value | .//string/text()')[0]
pprint.pprint(data_bundles)
这就是你从中得到的：
{'KONTANT_KOMPLETT.REGULAR': {'commitmentTime': '0',
'monthlyPrice': '0',
'newMsisdnFee': '0',
'offeringTitle': 'SMART Kontant',
'offeringType': 'PREPAID',
'signupFee': '0',
'upfrontPrice': '3499'},
'SMART_BASIC.TLF12PLEAS': {'commitmentTime': '12',
'monthlyPrice': '299',
'newMsisdnFee': '199',
'offeringTitle': 'SMART Basis',
'offeringType': 'VOICE',
'signupFee': '0',
'upfrontPrice': '2199'},
'SMART_MINI.TLF12PLEAS': {'commitmentTime': '12',
'monthlyPrice': '199',
'newMsisdnFee': '199',
'offeringTitle': 'SMART Mini',
'offeringType': 'VOICE',
'signupFee': '0',
'upfrontPrice': '2999'},
'SMART_PLUSS.TLF12PLEAS': {'commitmentTime': '12',
'monthlyPrice': '399',
'newMsisdnFee': '199',
'offeringTitle': 'SMART Pluss',
'offeringType': 'VOICE',
'signupFee': '0',
'upfrontPrice': '1599'},
'SMART_SUPERX.TLF12PLEAS': {'commitmentTime': '12',
'monthlyPrice': '499',
'newMsisdnFee': '199',
'offeringTitle': 'SMART Super',
'offeringType': 'VOICE',
'signupFee': '0',
'upfrontPrice': '1099'}}
有关使用 js2xml.parse() 获得的 XML 架构的更多信息，您可以查看 https://github.com/redapple/js2xml/blob/master/SCHEMA.rst