Map和Filter在两个数组元素上起作用,但在第三个看起来相同的数组元素上失败 [英] Map and Filter works on two array elements but fails on a third that is seemingly the same
问题描述
我对Google People API的承诺.一个地图和过滤器可以完美地在两个元素上工作,但是在对我来说似乎相同的第三个元素上却出现了 undefined 错误. >
我已阅读了在地图和过滤器上可以找到的所有内容,并进行了最后两个小时的有根据的猜测.两种方法似乎都无法促进我的努力.
resource_LBL,names_LBL和email_LBL起作用.该代码在gender_LBL上失败.
const arr = this.k4kItems.map(item => ({
resource_LBL: item.person.resourceName,
names_lbl: item.person.names.filter(
name_PARM => name_PARM.metadata.source.type === "CONTACT"
),
email_LBL: item.person.emailAddresses.filter(
email_PARM => email_PARM.metadata.source.type === "CONTACT"
),
gender_LBL: item.person.genders.filter(
gender_PARM => gender_PARM.metadata.source.type === "CONTACT"
)
}))
以下是相关元素或JSON.Stringify(promise)的承诺.
"person": {
"resourceName": "people\/c224283231105155344",
"names": [
{
"metadata": {
"primary": true,
"source": {
"type": "CONTACT",
"id": "31cd0690f198110"
}
},
"displayName": "Armena Kopf",
"familyName": "Kopf",
"givenName": "Armena",
"displayNameLastFirst": "Kopf, Armena"
},
{
"metadata": {
"source": {
"type": "PROFILE",
"id": "112242108723070860293"
}
},
"displayName": "Armena Dickson",
"familyName": "Dickson",
"givenName": "Armena",
"displayNameLastFirst": "Dickson, Armena"
}
],
"genders": [
{
"metadata": {
"primary": true,
"source": {
"type": "CONTACT",
"id": "31cd0690f198110"
}
},
"value": "female",
"formattedValue": "Female"
},
{
"metadata": {
"source": {
"type": "PROFILE",
"id": "112242108723070860293"
}
},
"value": "female",
"formattedValue": "Female"
}
],
"emailAddresses": [
{
"metadata": {
"primary": true,
"source": {
"type": "CONTACT",
"id": "31cd0690f198110"
}
},
"value": "armena_d@yahoo.com",
"type": "home",
"formattedType": "Home"
}
]
预期结果是性别将映射到数组,而不是给出和 undefined 错误.
只需添加检查是否存在可能不存在的深层属性
gender_LBL: item.person.genders && item.person.genders.filter(
gender_PARM => gender_PARM.metadata.source.type === "CONTACT"
)
I have a promise from the Google People API. A map and filter that works on two elements perfectly, but gives an undefined error on a third element that seems the same to me.
I've read everything I can find on map and filter and taken educated guess for the last two hours. Neither approach seems to be advancing my efforts.
resource_LBL, names_LBL, and email_LBL works. The code fails on gender_LBL.
const arr = this.k4kItems.map(item => ({
resource_LBL: item.person.resourceName,
names_lbl: item.person.names.filter(
name_PARM => name_PARM.metadata.source.type === "CONTACT"
),
email_LBL: item.person.emailAddresses.filter(
email_PARM => email_PARM.metadata.source.type === "CONTACT"
),
gender_LBL: item.person.genders.filter(
gender_PARM => gender_PARM.metadata.source.type === "CONTACT"
)
}))
Below is the relevant elements or the promise with JSON.Stringify(promise).
"person": {
"resourceName": "people\/c224283231105155344",
"names": [
{
"metadata": {
"primary": true,
"source": {
"type": "CONTACT",
"id": "31cd0690f198110"
}
},
"displayName": "Armena Kopf",
"familyName": "Kopf",
"givenName": "Armena",
"displayNameLastFirst": "Kopf, Armena"
},
{
"metadata": {
"source": {
"type": "PROFILE",
"id": "112242108723070860293"
}
},
"displayName": "Armena Dickson",
"familyName": "Dickson",
"givenName": "Armena",
"displayNameLastFirst": "Dickson, Armena"
}
],
"genders": [
{
"metadata": {
"primary": true,
"source": {
"type": "CONTACT",
"id": "31cd0690f198110"
}
},
"value": "female",
"formattedValue": "Female"
},
{
"metadata": {
"source": {
"type": "PROFILE",
"id": "112242108723070860293"
}
},
"value": "female",
"formattedValue": "Female"
}
],
"emailAddresses": [
{
"metadata": {
"primary": true,
"source": {
"type": "CONTACT",
"id": "31cd0690f198110"
}
},
"value": "armena_d@yahoo.com",
"type": "home",
"formattedType": "Home"
}
]
The expected result is that gender would map to the array instead of giving and undefined error.
Just add a check for the existence of deep properties that may not exist
gender_LBL: item.person.genders && item.person.genders.filter(
gender_PARM => gender_PARM.metadata.source.type === "CONTACT"
)
这篇关于Map和Filter在两个数组元素上起作用,但在第三个看起来相同的数组元素上失败的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持IT屋!