Sorry if this is a really basic question, but I cannot find any examples similar to the issue I am trying to solve.
Can somebody please explain why I am not able to access a nested array of elements in the following code and also how I can access elements from that array? From the json below, I am not able to get at the "Items" array found from the second result on.
The following json is being returned:
{
"d": {
"results": [
{
"__metadata": {
"uri": "...",
"type": "..."
},
"__index": 1,
"ID": "someID1",
"Name": "Some Name 1"
},
{
"__index": 2,
"Items": [
{
"__metadata": {
"uri": "...",
"type": "..."
},
"ID": "itemID2_1",
"Name": "Item 2_1"
}
]
},
{
"__index": 3,
"Items": [
{
"__metadata": {
"uri": "...",
"type": "..."
},
"ID": "itemID3_1",
"Name": "Item 3_1"
}
]
},
...
Here is the jade layout:
- var results=records, col_type='even';
table#results(style="border-collapse:collapse;")
tr
th.result-header Index
th.result-header ID
th.result-header Name
- each r in results
- col_type=col_type=='even' ? 'odd' : 'even'
tr.result-row
- if (!r.Items)
td(class='result-col-'+col_type,style="border-left:1px solid black")
#{r.__index}
td(class='result-col-'+col_type,style="border-left:1px solid black")
#{r.ID}
td(class='result-col-'+col_type,style="border-left:1px solid black")
#{r.Name}
- else
td(class='result-col-'+col_type,style="border-left:1px solid black")
#{r.__index}
- each i in r.Items
td(class='result-col-'+col_type,style="border-left:1px solid black")
#{i.ID}
td(class='result-col-'+col_type,style="border-left:1px solid black")
#{i.Name}
The issue here is that your JSON is in this format
{
"d": {
"results": [
...
]
So you need to change this part in your jade template from
- each r in results
- col_type=col_type=='even' ? 'odd' : 'even'
to this,
- each r in results['d']['results']
- col_type=col_type=='even' ? 'odd' : 'even'
This way, your loop will be pass through each array item.
so I just ran across the same problem. My solution was to do:
- each r in results
- each i in r.Items
"... do stuff with i"
Related
I have the below response payload and I just want to check the amount == 1000 if it's matching then I just want to get the entire column as output.
Sample Input:
{
"sqlQuery": "select SET_UNIQUE, amt as AMOUNT from transactionTable where SET_USER_ID=11651 ",
"message": "2 rows selected",
"row": [
{
"column": [
{
"value": "22621264",
"name": "SET_UNIQUE"
},
{
"value": "1000",
"name": "AMOUNT"
}
]
},
{
"column": [
{
"value": "226064213",
"name": "SET_UNIQUE"
},
{
"value": "916",
"name": "AMOUNT"
}
]
}
]
}
Expected Output:
"column": [
{
"value": "22621264",
"name": "SET_UNIQUE"
},
{
"value": "1000",
"name": "AMOUNT"
}
]
The above sample I just want to fetch the entire column if the AMOUNT value will be 1000.
I just tried below to achieve this but no luck.
1. row[*].column[?(#.value==1000)].column
2. row[*].column[?(#.value==1000)]
I don't want to do this by using index. Because It will be change.
Any ideas please?
I think you'd need nested expressions, which isn't something that's widely supported. Something like
$.row[?(#.column[?(#.value==1000)])]
The inner expression returns matches for value==1000, then the outer expression checks for existence of those matches.
Another alternative that might work is
$.row[?(#.column[*].value==1000)]
but this assumes some implicit type conversions that may or may not be supported.
I have a list example_list contains two dict objects, it looks like this:
[
{
"Meta": {
"ID": "1234567",
"XXX": "XXX"
},
"bbb": {
"ccc": {
"ddd": {
"eee": {
"fff": {
"xxxxxx": "xxxxx"
},
"www": [
{
"categories": {
"ppp": [
{
"content": {
"name": "apple",
"price": "0.111"
},
"xxx: "xxx"
}
]
},
"date": "A2020-01-01"
}
]
}
}
}
}
},
{
"Meta": {
"ID": "78945612",
"XXX": "XXX"
},
"bbb": {
"ccc": {
"ddd": {
"eee": {
"fff": {
"xxxxxx": "xxxxx"
},
"www": [
{
"categories": {
"ppp": [
{
"content": {
"name": "banana",
"price": "12.599"
},
"xxx: "xxx"
}
]
},
"date": "A2020-01-01"
}
]
}
}
}
}
}
]
now I want to filter the items and only keep "ID": "xxx" and the correspoding value for "price": "0.111", expected result can be something similar to :
[{"ID": "1234567", "price": "0.111"}, {"ID": "78945612", "price": "12.599"}]
or something like {"1234567":"0.111", "78945612":"12.599" }
Here's what I've tried:
map_list=[]
map_dict={}
for item in example_list:
#get 'ID' for each item in 'meta'
map_dict['ID'] = item['meta']['ID']
# get 'price'
data_list = item['bbb']['ccc']['ddd']['www']
for data in data_list:
for dataitem in data['categories']['ppp']
map_dict['price'] = item["content"]["price"]
map_list.append(map_dict)
print(map_list)
The result for this doesn't look right, feels like the item isn't iterating properly, it gives me result:
[{"ID": "78945612", "price": "12.599"}, {"ID": "78945612", "price": "12.599"}]
It gave me duplicated result for the second ID but where is the first ID?
Can someone take a look for me please, thanks.
Update:
From some comments from another question, I understand the reason for the output keeps been overwritten is because the key name in the dict is always the same, but I'm not sure how to fix this because the key and value needs to be extracted from different level of for loops, any help would be appreciated, thanks.
as #Scott Hunter has mentioned, you need to create a new map_dict everytime you are trying to do this. Here is a quick fix to your solution (I am sadly not able to test it right now, but it seems right to me).
map_list=[]
for item in example_list:
# get 'price'
data_list = item['bbb']['ccc']['ddd']['www']
for data in data_list:
for dataitem in data['categories']['ppp']:
map_dict={}
map_dict['ID'] = item['meta']['ID']
map_dict['price'] = item["content"]["price"]
map_list.append(map_dict)
print(map_list)
But what are you doing here is that you are basically just "forcing" your way through ... I recommend you to take a break and check out somekind of tutorial, which will help you to understand how it really works in the back-end. This is how I would have written it:
list_dicts = []
for example in example_list:
for www in item['bbb']['ccc']['ddd']['www']:
for www_item in www:
list_dicts.append({
'ID': item['meta']['ID'],
'price': www_item["content"]["price"]
})
Good luck with this problem and hope it helps :)
You need to create a new dictionary for map_dict for each ID.
I have a formatter that works for column data, using column parameter formatter. Using the same formatter with column parameter titleformatter, I get the error noted below. Also, I don't understand why HTML in title parameter text seems not to work for <b> ... </b> but does work for other things (e.g., <i> ... </i>. A working custom formatter example would help. (I don't see this in Tabulator documentation.) See this montage combining a column header and row header screenshot with common cell text---'bold' in the row looks bolder to me.
Cell text comparison screenshot montage
I've tried emulating some posted sample code, but I get the same error as reported by #dagroj in his comment to #Oli Folkerd's answer (to the question) about titleformatter --- viz. tabulator.min.js:2 Uncaught TypeError: Failed to execute 'appendChild' on 'Node': parameter 1 is not of type 'Node'. (Mentioning that here because I don't yet have the reputation to comment there.)
Here is a rendering of my CPT, without the titleformatter.
Corresponding table constructor:
"columnVertAlign": "bottom",
"height": "100%",
"layout": "fitColumns",
"columns": [
{
"title": "<i> absolute_T<--T (noisyAnd)</i>",
"columns": [
{
"title": "<b> NotCorrAnd_EffectiveHyp</b>",
"field": "label",
"align": "right",
"headerSort": false
}
]
},
{
"title": "NotB_EffectiveHyp",
"columns": [
{
"title": "<b>T</B>",
"field": "true",
"align": "center",
"headerSort": false
},
{
"title": "<i>F</i>",
"field": "false",
"align": "center",
"headerSort": false
}
]
},
{
"title": "<b> Belief </b>",
"columns": [
{
"title": "odds",
"field": "odds",
"align": "center",
"headerSort": false
},
{
"title": "log<sub>2</sub> odds",
"field": "log2odds",
"align": "center",
"headerSort": false
}
]
}
]
}
Formatter:
function truthFormatter(cell, formatterParams, onRendered) {
var cellValue = cell.getValue();
var cellElement = cell.getElement();
if (cellValue == "T") {
cellElement.style.backgroundColor = "#0000B3";
cellElement.style.color = "#FFFFFF";
cellElement.style.textAlign = "center";
cellElement.style.fontWeight = "bold";
}
else if (cellValue == "F") {
cellElement.style.backgroundColor = "#B30000";
cellElement.style.color = "#FFFFFF";
cellElement.style.textAlign = "center";
cellElement.style.fontWeight = "bold";
}
else cellElement.style.color = "#000000";
return cell.getValue();
}
Column headers are by default styled to be bold, so adding a bold or strong tag will not make them any bolder. On a side not you are using a mix of lowercase and uppercase "b" in your tags
If you are getting that error it means that your formatter is not returning a valid value, it must either be a string/number or a DOM element of type Node.
[updated 17:15 on 28/09]
I'm manipulating json data of type:
[
{
"id": 1,
"title": "Sun",
"seeAlso": [
{
"id": 2,
"title": "Rain"
},
{
"id": 3,
"title": "Cloud"
}
]
},
{
"id": 2,
"title": "Rain",
"seeAlso": [
{
"id": 3,
"title": "Cloud"
}
]
},
{
"id": 3,
"title": "Cloud",
"seeAlso": [
{
"id": 1,
"title": "Sun"
}
]
},
];
After inclusion in the database, a node.js search using
db.documents.query(
q.where(
q.collection('test films'),
q.value('title','Sun')
).withOptions({categories: 'none'})
)
.result( function(results) {
console.log(JSON.stringify(results, null,2));
});
will return both the film titled 'Sun' and the films which have a seeAlso/title property (forgive the xpath syntax) = 'Sun'.
I need to find 1/ films with title = 'Sun' 2/ films with seeAlso/title = 'Sun'.
I tried a container query using q.scope() with no success; I don't find how to scope the root object node (first case) and for the second case,
q.where(q.scope(q.property('seeAlso'), q.value('title','Sun')))
returns as first result an item which matches all text inside the root object node
{
"index": 1,
"uri": "/1.json",
"path": "fn:doc(\"/1.json\")",
"score": 137216,
"confidence": 0.6202662,
"fitness": 0.6701325,
"href": "/v1/documents?uri=%2F1.json&database=Documents",
"mimetype": "application/json",
"format": "json",
"matches": [
{
"path": "fn:doc(\"/1.json\")/object-node()",
"match-text": [
"Sun Rain Cloud"
]
}
]
},
which seems crazy.
Any idea about how doing such searches on denormalized json data?
Laurent:
XPaths on JSON are supported by MarkLogic.
In particular, you might consider setting up a path range index to match /title at the root:
http://docs.marklogic.com/guide/admin/range_index#id_54948
Scoped property matching required either filtering or indexed positions to be accurate. An alternative is to set up another path range index on /seeAlso/title
For the match issue it would be useful to know the MarkLogic version and to see the entire query.
Hoping that helps,
I'm attempting a fairly basic task in arangodb, using the SUM() aggregate function.
Here is a working query which returns the right data (though not yet aggregated):
FOR m IN pkg_spp_RegMem
FILTER m.memberId == "40289"
COLLECT member = m.memberId INTO g
RETURN { "memberId" : member, "amount" : g[*].m[*].items }
This returns the following results:
[
{
"memberId": "40289",
"amount": [
[
{
"amount": 50,
"description": "some description"
}
],
[
{
"amount": 50,
"description": "some description"
},
{
"amount": 500,
"description": "some description"
},
{
"amount": 0,
"description": "some description"
}
],
[
{
"amount": 0,
"description": "some description"
},
]
]
}
]
I am using Collect to group the results because a given memberId may have multiple'RegMem' objects. As you can see from the query/results, each object has a list of smaller objects called 'items', with each item having an amount and a description.
I want to SUM() the amounts by member. However, adjusting the query like this does not work:
FOR m IN pkg_spp_RegMem
FILTER m.memberId == "40289"
COLLECT member = m.memberId INTO g
RETURN { "memberId" : member, "amount" : SUM(g[*].m[*].items[*].amount) }
It returns 0 because it apparently can't find a field in the expanded items list called amount.
Looking at the results I can sort of understand why: the results are being returned such that items is actually a list, of lists of objects with amount/description. But I don't understand how to reference or expand the un-named list correctly to return the amount field values for the SUM() function.
Ideally the query should return the memberId and total amount, one row per member such that I can remove the filter and execute for all members.
Many thanks in advance if you can help!
Martin
PS I've worked through the AQL tutorial on the arangodb website and checked out the manual but what would really help me is loads more example queries to look through. If anyone knows of a resource like that or wants to share some of their own, 'much obliged. Cheers!
Edited: Misread the question the first time. The first one can be seen in theedit history, as it also contains some hints:
I replicated your data by creating some documents in this format (and some with only one item):
{
"memberId": "40289",
"items": [
{
"amount": 50,
"description": "some description"
},
{
"amount": 500,
"description": "some description"
}
]
}
Based on some of those types of documents, your non-summarized query should indeed be looking like this:
FOR m IN pkg_spp_RegMem
FILTER m.memberId == "40289"
COLLECT member = m.memberId INTO g
RETURN { "memberId" : member, "amount" : g[*].m[*].items }
The data returned:
[
{
"memberId": "40289",
"amount": [
[
{
"amount": 50,
"description": "some description"
},
{
"amount": 0,
"description": "some description"
}
],
[
{
"amount": 50,
"description": "some description"
},
{
"amount": 0,
"description": "some description"
}
],
[
{
"amount": 50,
"description": "some description"
}
],
[
{
"amount": 50,
"description": "some description"
},
{
"amount": 500,
"description": "some description"
}
],
[
{
"amount": 0,
"description": "some description"
}
],
[
{
"amount": 50,
"description": "some description"
},
{
"amount": 500,
"description": "some description"
}
]
]
}
]
Based on the non summarized version, you need to loop through the items of the groups that have been generated by the collect function and do your SUM() there.
In order to be able to SUM the items you must FLATTEN() them into a single list, before summarizing them.
FOR m IN pkg_spp_RegMem
FILTER m.memberId == "40289"
COLLECT member = m.memberId INTO g
RETURN { "memberId" : member, "amount" : SUM(
FLATTEN(
(
FOR r in g[*].m[*].items
RETURN r[*].amount
)
)
)
}
This results in:
[
{
"memberId": "40289",
"amount": 1250
}
]