猫鼬：填充ID的嵌套数组
我一直在网上寻找解决方案，但似乎找不到解决问题的答案。 Here's a very similar case,，但由于某些原因，我的文档仍未填充。 以下是模式：
客户架构：
IDmodule.exports = mongoose.model（'Customer'，customerSchema）;
第三方：
# rides_df and station_df are slightly modified to make sure that the code works as intended
rides_df = pd.DataFrame([[1912818,'Round Trip',3014,34.0566101,-118.23721,3014,34.0566101,-118.23721],
[1933383,'Round Trip',3016,34.0528984,-118.24156,3016,34.0528984,-118.24156],
[1944197,'Round Trip',3016,34.0528984,-118.24156,3016,34.0528984,-118.24156],
[1940317,'Round Trip','NaN' ,34.03352,-118.24184,3018,34.03352,-118.24184],
[1944075,'One Way',3021,34.0456085,-118.23703,3016,34.0566101,-118.23721]]
, columns = ['trip_id','trip_route_category','start_station_id','start_lat',
'start_lon','end_station_id','end_lat','end_lon'])
stations_df = pd.DataFrame([['Union Station West Portal',34.05661,-118.23721,'NaN'],
['Los Angeles & Temple',34.0529,-118.24156,3016],
['Grand & Olympic',34.04373,-118.26014,3018],
['12th & Hill',34.03861,-118.26086,3019],
['Hill & Washington',34.03105,-118.26709,3020],
['Row DTLA',34.03352,-118.24184,'NaN']],
columns = ['station_name', 'lat', 'lon','station_id'])
# Convert to floats to match NaNs
rides_df[["start_station_id", "end_station_id"]] = rides_df[["start_station_id", "end_station_id"]].astype(float)
stations_df["station_id"] = stations_df["station_id"].astype(float)
# Convert the NaNs to another invalid id so they stop matching on merge
stations_df.loc[stations_df["station_id"].isnull(), "station_id"] = -1
# Round so numbers are an exact match
rides_df = rides_df.round(5)
# Merge beginning station name
rides_df = rides_df.rename(columns = {'start_station_id': 'station_id',
'start_lat': 'lat', 'start_lon': 'lon'})
rides_df = rides_df.merge(stations_df[['station_id','station_name']],
on = 'station_id', how = 'left')
# Merge again by looking at lat/lon values
rides_df = rides_df.merge(stations_df[['lat', 'lon','station_name']],
on = ['lat', 'lon'], how = 'left')
# Merge the two merge results
rides_df.loc[:, "station_name"] = rides_df["station_name_x"].combine(rides_df["station_name_y"], lambda x,y: x if not x!=x else y)
rides_df.drop(["station_name_x", "station_name_y"], axis=1, inplace=True)
rides_df = rides_df.rename(columns = {'station_id':'start_station_id',
'station_name':'start_station_name',
'lat':'start_lat', 'lon':'start_lon'})
# Merge ending station name
rides_df = rides_df.rename(columns = {'end_station_id': 'station_id',
'start_lat': 'lat', 'start_lon': 'lon'})
rides_df = rides_df.merge(stations_df[['station_id', 'station_name']],
on = 'station_id', how = 'left')
rides_df = rides_df.merge(stations_df[['lat', 'lon','station_name']],
on = ['lat', 'lon'], how = 'left')
rides_df.loc[:, "station_name"] = rides_df["station_name_x"].combine(rides_df["station_name_y"], lambda x,y: x if not x!=x else y)
rides_df.drop(["station_name_x", "station_name_y"], axis=1, inplace=True)
rides_df = rides_df.rename(columns = {'station_id':'end_station_id',
'station_name': 'end_station_name',
'lat':'start_lat', 'lon':'start_lon'})
print(rides_df)
和联系人：
trip_id trip_route_category start_station_id start_lat start_lon end_station_id end_lat end_lon start_station_name end_station_name
0 1912818 Round Trip 3014.0 34.05661 -118.23721 3014.0 34.05661 -118.23721 Union Station West Portal Union Station West Portal
1 1933383 Round Trip 3016.0 34.05290 -118.24156 3016.0 34.05290 -118.24156 Los Angeles & Temple Los Angeles & Temple
2 1944197 Round Trip 3016.0 34.05290 -118.24156 3016.0 34.05290 -118.24156 Los Angeles & Temple Los Angeles & Temple
3 1940317 Round Trip NaN 34.03352 -118.24184 3018.0 34.03352 -118.24184 Row DTLA Grand & Olympic
4 1944075 One Way 3021.0 34.04561 -118.23703 3016.0 34.05661 -118.23721 NaN Los Angeles & Temple
这是我的电话：
var mongoose = require('mongoose');
var Schema = mongoose.Schema;
var customerSchema = new Schema({
_id: {type: Schema.Types.ObjectId},
auditTrail: {type: Object},
thirdParty: [{type: Schema.Types.ObjectId, ref: 'Thirdparty'}],
docRefs: {type: Object},
salesRep: {type: Array},
commentsArr: {type: Array}
});
如果在客户内部完全填充了ThirdParty，则联系人绝对不会...
这是“响应”的日志：
我在做什么错？
谢谢！
2 个答案:
答案 0 :(得分：1)
Array内部的Array不能直接工作。您需要$unwind进行进一步的操作，并需要两个级别的$group。
很长，但这是您达到要求的方式。
db.getCollection('Customer').aggregate([
{$unwind: "$thirdParty"},
{$lookup: {from: 'Thirdparty', localField: 'thirdParty', foreignField: '_id', as: 'thirdParty'}},
{$unwind: "$thirdParty"},
{$unwind: "$thirdParty.contacts"},
{$lookup: {from: 'Contact', localField: 'thirdParty.contacts', foreignField: '_id', as: 'thirdParty.contacts'}},
{$unwind: "$thirdParty.contacts"},
{ $group: {
_id: {
custid: "$_id",
tId: "$thirdParty._id"
},
auditTrail: {$first: "$auditTrail"},
docRefs: {$first: "$docRefs"},
salesRep: {$first: "$salesRep"},
commentsArr: {$first: "$commentsArr"},
contactsArr: {$push: "$thirdParty.contacts"},
thirdParty: {$first:"$thirdParty"}
}},
{$group: {
_id: "$_id.custid",
auditTrail: {$first: "$auditTrail"},
docRefs: {$first: "$docRefs"},
salesRep: {$first: "$salesRep"},
commentsArr: {$first: "$commentsArr"},
thirdParty: {$push: {
"_id": "$thirdParty._id",
"type" : "$thirdParty.type",
"name" : "$thirdParty.name",
"vat" : "$thirdParty.vat",
"corpoPhone" : "$thirdParty.corpoPhone",
"corpoMail" : "$thirdParty.corpoMail",
"corpoWeb" : "$thirdParty.corpoWeb",
"activityNumber" :"$thirdParty.activityNumber",
"addresses" : "$thirdPartyaddresses",
"contacts": "$contactsArr"
}},
}}
])
下面是输出：
{
"_id" : ObjectId("5d3f0a70d4a630e6a5499d3a"),
"auditTrail" : {},
"docRefs" : {},
"salesRep" : [],
"commentsArr" : [],
"thirdParty" : [{
"_id" : ObjectId("5d3fe4ddd4a630e6a5499d3b"),
"type" : "type2",
"name" : "type2",
"vat" : "type2",
"corpoPhone" : "type2",
"corpoMail" : "type2",
"corpoWeb" : "type2",
"activityNumber" : "type2",
"contacts" : [{
"_id" : ObjectId("5d3f09edd4a630e6a5499d38"),
"title" : "title1",
"role" : "role1",
"firstName" : "firstname1",
"lastName" : "lastname1",
"phone" : "phone1",
"mobile" : "mobile1",
"email" : "email1"
}, {
"_id" : ObjectId("5d3fe547d4a630e6a5499d3d"),
"title" : "title2",
"role" : "role2",
"firstName" : "firstname2",
"lastName" : "lastname2",
"phone" : "phone2",
"mobile" : "mobile2",
"email" : "email2"
}]
}, {
"_id" : ObjectId("5d3f0a36d4a630e6a5499d39"),
"type" : "type1",
"name" : "type1",
"vat" : "type1",
"corpoPhone" : "type1",
"corpoMail" : "type1",
"corpoWeb" : "type1",
"activityNumber" : "type1",
"contacts" : [ {
"_id" : ObjectId("5d3f09edd4a630e6a5499d38"),
"title" : "title1",
"role" : "role1",
"firstName" : "firstname1",
"lastName" : "lastname1",
"phone" : "phone1",
"mobile" : "mobile1",
"email" : "email1"
}]
}]
}
答案 1 :(得分：0)
知道了！我在模型中缺少导入语句：
var mongoose = require('mongoose');
var Schema = mongoose.Schema;
var Contact = require('./contact'); // <--- THIS LINE RIGHT HERE
var thirdPartySchema = new Schema({
_id: {type: Schema.Types.ObjectId},
type: {type: String},
name: {type: String},
vat: {type: String},
corpoPhone: {type: String},
corpoMail: {type: String},
corpoWeb: {type: String},
activityNumber: {type: String},
addresses: {type: Array},
contacts: [{type: Schema.Types.ObjectId, ref: 'Contact'}],
});
module.exports = mongoose.model('Thirdparty', thirdPartySchema);
请求看起来像：
Customer
.find()
.populate({
path: 'thirdParty',
populate: { path: 'contacts', model: 'Contact' }
})
.then(
documents => {
res.status(200).json({
message: 'Customer successfully fetched',
customers: documents
});
}
).catch(err => res.status(404).json({message: 'No customer found!', error: err}));
});
现在我的“对象”已正确填充：
{
"message": "Customer successfully fetched",
"customers": [
{
"thirdParty": [
{
"addresses": [
{
"street": "AVENIDA ESTADOS UNIDOS, 141",
"streetcomp": "",
"streetcomp2": "",
"city": "SAN BARTOLOME DE TIRAJANA ",
"cp": "35290",
"state": "PALMAS (LAS)",
"country": "spain",
"main": true
},
{
"street": "OTRA DIRECCION DUMMY",
"streetcomp": "",
"streetcomp2": "",
"city": "MADRID",
"state": "MADRID",
"country": "spain",
"main": false
}
],
"contacts": [
{
"_id": "5cf0f6f2a3e9cf847c5861af",
"title": "Mrs.",
"role": "CFO",
"firstName": "John",
"lastName": "Doe",
"phone": "912345654",
"mobile": "673369900",
"thirdParty_id": "5cf0f6d0a3e9cf847c5861aa",
"addresses": [
{
"street": "AVENIDA ESTADOS UNIDOS , 141",
"streetcomp1": "TUNTE",
"streetcomp2": "",
"cp": "35290",
"city": "SAN BARTOLOME DE TIRAJANA ",
"state": "PALMAS (LAS)"
}
],
"email": "jdoe@ketchup.com",
"auditTrail": {
"creation": {
"user_id": "1",
"creationDate": "1559213796974"
},
"modification": [
{
"user_id": "1",
"modifDate": "1559213833358"
}
]
}
}
],
"_id": "5cf0f6d0a3e9cf847c5861aa",
"type": "customer",
"name": "ketchup",
"vat": "B87451084",
"corpoPhone": "918388544",
"corpoMail": "obras@ferrometal.net",
"corpoWeb": "http://ferrometalcimentaciones.es/",
"activityNumber": "5630"
}
],
"salesRep": [
{
"user_id": "USER_ID to be defined",
"dateBegin": "1559212324146",
"active": true
},
{
"user_id": "USER_ID to be defined",
"dateBegin": "1559212324146",
"active": false
}
],
"commentsArr": [
{
"user_id": "USER_ID to be changed to name",
"comment": "this is a great customer!"
},
{
"user_id": "USER_ID to be changed to name",
"comment": "This is a test"
}
],
"_id": "5cf0f704a3e9cf847c5861b2",
"auditTrail": {
"modifications": [
{
"modificationDate": "1559211664284",
"user_id": "A123"
}
],
"creation": {
"creationDate": "1559211664284",
"user_id": "A123"
}
},
"docRefs": {
"fs": [
{
"name": "mod 200 2018",
"comment": "should be approved",
"url": "www.google.com",
"uploadDate": "1559212324146",
"originalName": "mod200-2018.pdf",
"mime": "pdf",
"type": "fs",
"typeName": "Financial Statements"
}
],
"id": [
{
"name": "Jose-Pedro",
"comment": "ID Valido",
"url": "/somehwere/else",
"uploadDate": "1559212324146",
"originalName": "id-jp.pdf",
"mime": "pdf",
"type": "id",
"typeName": "Identification Document"
}
],
"ad": [
],
"cd": [
],
"pd": [
],
"od": [
]
},
"active": true
},
{
"thirdParty": [
{
"addresses": [
{
"street": "CALLE MORGAN , 2 - BJ 2 B",
"streetcomp": "",
"streetcomp2": "",
"city": "BILBAO",
"cp": "48014",
"state": "BIZKAIA",
"country": "spain",
"main": true
}
],
"contacts": [
{
"_id": "5cf0f6f2a3e9cf847c5861af",
"title": "Mrs.",
"role": "CFO",
"firstName": "John",
"lastName": "Doe",
"phone": "912345654",
"mobile": "673369900",
"thirdParty_id": "5cf0f6d0a3e9cf847c5861aa",
"addresses": [
{
"street": "AVENIDA ESTADOS UNIDOS , 141",
"streetcomp1": "TUNTE",
"streetcomp2": "",
"cp": "35290",
"city": "SAN BARTOLOME DE TIRAJANA ",
"state": "PALMAS (LAS)"
}
],
"email": "jdoe@ketchup.com",
"auditTrail": {
"creation": {
"user_id": "1",
"creationDate": "1559213796974"
},
"modification": [
{
"user_id": "1",
"modifDate": "1559213833358"
}
]
}
}
],
"_id": "5cf629538c2d290f39a9b18b",
"type": "customer",
"name": "ginegorama",
"vat": "B95551776",
"activityNumber": "8690"
}
],
"salesRep": [
{
"user_id": "1",
"dateBegin": "1559212324146",
"active": true
},
{
"user_id": "2",
"dateBegin": "1559212324146",
"active": false
}
],
"commentsArr": [
{
"user_id": "USER_ID to be changed to name",
"comment": "this is a great customer!"
}
],
"_id": "5cf6296a8c2d290f39a9b18c",
"auditTrail": {
"modifications": [
{
"modificationDate": "1559211664284",
"user_id": "1"
}
],
"creation": {
"creationDate": "1559211664284",
"user_id": "1"
}
},
"docRefs": {
"fs": [
{
"name": "mod 200 2018",
"comment": "should be approved",
"url": "/somewhere",
"uploadDate": "1559212324146",
"originalName": "mod200-2018.pdf",
"mime": "pdf",
"type": "fs",
"typeName": "Financial Statements"
}
],
"id": [
],
"ad": [
],
"cd": [
],
"pd": [
],
"od": [
]
},
"active": false
}
]
}
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