I'm using Parson library to send sensor data from a MCU to a server. I want to generate the following JSON, but I can't figure out how to generate the arrays ("sensors" and "measurements").
{
"systemInfo:": {
"hubId": "1234",
"battery:": {
"value": 3.3,
"unit": "V"
}
},
"sensors": [
{
"name": "S1",
"measurements:": [
{
"measuredValue": "val",
"value": 123,
"unit": "unit"
}
]
},
{
"name": "S2",
"measurements": [
{
"measuredValue": "val1",
"value": 123,
"unit": "unit1"
},
{
"measuredValue": "val2",
"value": 123,
"unit": "unit2"
}
]
},
{
"name": "s3",
"measurements": [
{
"measuredValue": "val",
"value": 120,
"unit": "unit"
}
]
}
]
}
There is an example on the GitHub page (serialization_example), that generates an array by parsing a string:
json_object_dotset_value(root_object, "contact.emails",
json_parse_string("[\"email#example.com\", \"email2#example.com\"]"));
but I would like to generate it using the API functions and not by manually constructing the string like in the example above. E.g., by using
json_object_set_string()
json_object_dotset_string()
json_object_dotset_number() etc.
Is it possible? Or the API does not offer this functionality?
I was stuck at this same point but as I looked into parson.h and parson.c I found support for Json_Array. here is just a sample code to help.
//creating a Json_Array
JSON_Value *branch = json_value_init_array();
JSON_Array *leaves = json_value_get_array(branch);
//creating measurement Json
JSON_Value *leaf_value = json_value_init_object();
JSON_Object *leaf_object = json_value_get_object(leaf_value);
json_object_set_number(leaf_object,"name1",123);
json_object_set_number(leaf_object,"name2",456);
json_object_set_number(leaf_object,"name3",789);
json_array_append_value(leaves,leaf_value);
Hope this helps.
I didn't find a solution to my problem, but instead in found another library, cJSON, that can do what I need.
Related
I'm building a simple Guess Who skill game for Alexa. I have two intents right now: GenderIntent and HairColorIntent.
GenderIntent has a custom slot to handle gender and related synonyms such as mapping "boy" and "man" to "Male". This is working great. It returns a resolution within the slot. Exactly what I need.
HairColorIntent has a predefined Amazon slot, AMAZON.Color. This is not working great as it never returns a resolution regardless of the color supplied.
Here is my model for GenderIntent and HairColorIntent:
{
"name": "GenderIntent",
"samples": [
"are you a {Gender}"
],
"slots": [
{
"name": "Gender",
"type": "GENDER_TYPES",
"samples": []
}
]
},
{
"name": "HairColorIntent",
"samples": [
"is your hair {HairColor}",
"do you have {HairColor} hair"
],
"slots": [
{
"name": "HairColor",
"type": "AMAZON.Color"
}
]
}
GenderIntent returns the following slot WITH resolutions:
{
"Gender": {
"name": "Gender",
"value": "male",
"resolutions": {
"resolutionsPerAuthority": [
{
"authority": "amzn1.er-authority.echo-sdk.amzn1.ask.skill.2ed972f4-1c5a-4cc1-8fd7-3f440f5b8968.GENDER_TYPES",
"status": {
"code": "ER_SUCCESS_MATCH"
},
"values": [
{
"value": {
"name": "Male",
"id": "63889cfb9d3cbe05d1bd2be5cc9953fd"
}
}
]
}
]
},
"confirmationStatus": "NONE",
"source": "USER"
}
}
HairColorIntent returns the following WITHOUT resolutions:
{
"HairColor": {
"name": "HairColor",
"value": "brown",
"confirmationStatus": "NONE",
"source": "USER"
}
}
I'd like HairColorIntent's HairColor slot to return the resolution. What am I doing wrong?
Resolution is only returned if you use synonyms in your slot type.
Not exactly sure how you handle it in your code, for example Node.js would be:
handlerInput.requestEnvelope.request.intent.slots.Gender.resolutions.resolutionPerAuthority[0].values[0].value.name
If you do not use synonyms (for example for the HairColor slot), you can get the value simply by handlerInput.requestEnvelope.request.intent.slots.HairColor.value
Working with predefined slot types this should work well with your code. If you want custom slot types to also return resolution whether you actually use synonyms or not, you can always just simply give the value as a synonym and it should return the full resolution tree.
Hope that answered your question.
I have the following data structure as a result of aws logs get-query-results:
{
"status": "Complete",
"statistics": {
"recordsMatched": 2.0,
"recordsScanned": 13281.0,
"bytesScanned": 7526096.0
},
"results": [
[
{
"field": "time",
"value": "2019-01-31T21:53:01.136Z"
},
{
"field": "requestId",
"value": "a9c233f7-0b1b-3326-9b0f-eba428e4572c"
},
{
"field": "logLevel",
"value": "INFO"
},
{
"field": "callerId",
"value": "a9b0f9c2-eb42-3986-33f7-8e450b1b72cf"
}
],
[
{
"field": "time",
"value": "2019-01-25T13:13:01.062Z"
},
{
"field": "requestId",
"value": "a4332628-1b9b-a9c2-0feb-0cd4a3f7cb63"
},
{
"field": "logLevel",
"value": "INFO"
},
{
"field": "callerId",
"value": "a9b0f9c2-eb42-3986-33f7-8e450b1b72cf"
}
],
]
}
The AWS CLI support JMESPath language for filtering output. I need to apply a query string, to filter among the returned "results" the objects that contain the "callerId" as a "field", retrieve the "value" property and obtain the following output:
[
{
callerId: "a9b0f9c2-eb42-3986-33f7-8e450b1b72cf"
},
{
callerId: "a9b0f9c2-eb42-3986-33f7-8e450b1b72cf"
}
]
The first step I do is flatter the results array with the query string: results[]
This will get read of the other root properties (status, statistics) and return only one big array with all of the {field: ..., value: ...} alike objects. But after this I can't manage to properly filter for those objects that match field=="callerId". I tried, among others, the following expressions without success:
'results[][?field=="callerId"]'
'results[][*][?field=="callerId"]'
'results[].{ callerId: #[?field=="callerId"].value }'
I'm not an expert in JMESPath and I was doing the tutorials of the jmespath.org site but couldn't manage to make it work.
Thanks!
Using jq is a good thing because it's more complete language, but if you want to do it with JMES Path here the solution:
results[*][?field=='callerId'].{callerId: value}[]
to get:
[
{
"callerId": "a9b0f9c2-eb42-3986-33f7-8e450b1b72cf"
},
{
"callerId": "a9b0f9c2-eb42-3986-33f7-8e450b1b72cf"
}
]
I'm not able to reproduce fully since I don't have the same logs in my log stream but I was able to do this using jq and putting the sample JSON object in a file
cat sample_output.json | jq '.results[][] | select(.field=="callerId") | .value'
OUTPUT:
"a9b0f9c2-eb42-3986-33f7-8e450b1b72cf"
"a9b0f9c2-eb42-3986-33f7-8e450b1b72cf"
you could pipe the output from the aws cli to jq.
I was able to get pretty close with the native JMESPath query and using the built in editor in this site
http://jmespath.org/examples.html#filtering-and-selecting-nested-data
results[*][?field==`callerId`][]
OUTPUT:
[
{
"field": "callerId",
"value": "a9b0f9c2-eb42-3986-33f7-8e450b1b72cf"
},
{
"field": "callerId",
"value": "a9b0f9c2-eb42-3986-33f7-8e450b1b72cf"
}
]
but I'm not sure how to get callerId to be the key and the value to be the value from another key.
I'm trying to parse some data in Nifi (1.7.1) using UpdateRecord Processor.
Original data are json files, that I would like to convert to Avro, based on a schema.
The Avro conversion is ok, but in that convertion I also need to parse one array element from the json data to a different structure in Avro.
This is a sample data of the input json:
{ "geometry" : {
"coordinates" : [ [ 4.963087975800593, 45.76365595859971 ], [ 4.962874487781098, 45.76320922779652 ], [ 4.962815443439148, 45.763116079159374 ], [ 4.962744732112515, 45.763010484202866 ], [ 4.962096825239138, 45.762112721939246 ] ]} ...}
Being its schema (specified in RecordReader):
{ "type": "record",
"name": "features",
"fields": [
{
"name": "geometry",
"type": {
"type": "record",
"name": "geometry",
"fields": [
{
"name": "coordinatesJson",
"type": {
"type": "array",
"items": {
"type": "array",
"items": "double"
}
}
},
]
}
},
....
]
}
As you can see, coordinates is an array of arrays.
And I need to parse those data to Avro, based on this schema (specified in RecordWriter):
{
"name": "outputdata",
"type": "record",
"fields": [
{"name": "coordinatesAvro",
"type": {
"type": "array",
"items" : {
"type" : "record",
"name" : "coordinatesAvro",
"fields" : [ {
"name" : "X",
"type" : "double"
}, {
"name" : "Y",
"type" : "double"
} ]
}
}
},
.....
]
}
The problem here is that I'm not being able to parse from coordinatesJson to coordinatesAvro, using RecordPath functions
I tried several mappings, like:
Property: Value:
/coordinatesJson[0..-1]/X /geometry/coordinatesAvro[*][0]
/coordinatesJson[0..-1]/Y /geometry/coordinatesAvro[*][1]
It should be a pretty straighforward parsing step, but as I said, I've been going in circles to achive this for a while.
Any help would be really appreciated.
When I collide with something like that I do next:
1) Transofrm Json into Json with strcuture that I need (for example in your case: coordinatesAvro) by ExecuteScript Processor. I have used ECMAScript cause you can simple parse JSON and work with objects (transform them).
2) ConvertJsonToAvro with one common schema (coordinatesAvro in your case) for Reader and Writer.
It works very good and I have used it on BigData cases. This is one of possible resolutions for your problem.
Given my Profile data looks like below, I want to find the profile for combination of userName and productId
and only return the profile with the respective contract for this product.
{
"firstName": "John",
"lastName": "Doe",
"userName": "john.doe#gmail.com",
"language": "NL",
"timeZone": "Europe/Amsterdam",
"contracts": [
{
"contractId": "DEMO1-CONTRACT",
"productId": "ticket-api",
"startDate": ISODate('2016-06-29T09:06:42.391Z'),
"roles": [
{
"name": "Manager",
"permissions": [
{
"activity": "ticket",
"permission": "createTicket"
},
{
"activity": "ticket",
"permission": "updateTicket"
},
{
"activity": "ticket",
"permission": "closeTicket"
}
]
}
]
},
{
"contractId": "DEMO2-CONTRACT",
"productId": "comment-api",
"startDate": ISODate('2016-06-29T10:27:45.899Z'),
"roles": [
{
"name": "Manager",
"permissions": [
{
"activity": "comment",
"permission": "createComment"
},
{
"activity": "comment",
"permission": "updateComment"
},
{
"activity": "comment",
"permission": "deleteComment"
}
]
}
]
}
]
}
I managed to find the solution how to do this from the command line. But I don't seem to find a way how to accomplish this with Morphia (latest version).
db.Profile.aggregate([
{ $match: {"userName": "john.doe#gmail.com"}},
{ $project: {
contracts: {$filter: {
input: '$contracts',
as: 'contract',
cond: {$eq: ['$$contract.productId', "ticket-api"]}
}}
}}
])
This is what I have so far. Any help is most appreciated
Query<Profile> matchQuery = getDatastore().createQuery(Profile.class).field(Profile._userName).equal(userName);
getDatastore()
.createAggregation(Profile.class)
.match(matchQuery)
.project(Projection.expression(??))
Note... meanwhile I found another solution which does not use an aggregation pipeline.
public Optional<Profile> findByUserNameAndContractQuery(String userName, String productId) {
DBObject contractQuery = BasicDBObjectBuilder.start(Contract._productId, productId).get();
Query<Profile> query =
getDatastore()
.createQuery(Profile.class)
.field(Profile._userName).equal(userName)
.filter(Profile._contracts + " elem", contractQuery)
.retrievedFields(true, Profile._contracts + ".$");
return Optional.ofNullable(query.get());
}
I finally found the best way (under assumption I only want to return max. 1 element from array) to filter embedded array.
db.Profile.aggregate([
{ $match: {"userName": "john.doe#gmail.com"}},
{ $unwind: "$contracts"},
{ $match: {"contracts.productId": "comment-api"}}
])
To match according to your first design you could try the projection settings with morphia aggregation pipeline.
Query<Profile> matchQuery = getDatastore().createQuery(Profile.class).field(Profile._userName).equal(userName);
getDatastore()
.createAggregation(Profile.class)
.match(matchQuery)
.project(Projection.expression("$filter", new BasicDBObject()
.append("input", "$contracts")
.append("as", "contract")
.append("cond", new BasicDBObject()
.append("$eq", Arrays.asList('$$contract.productId', "ticket-api")));
Also see the example written by the morphia crew around line 88 at https://github.com/mongodb/morphia/blob/master/morphia/src/test/java/org/mongodb/morphia/aggregation/AggregationTest.java.
I've been looking at some StackOverflow cases such as this case, but I cannot find an example with a document structure close to this one.
Below is an example of one document within my collection artistTags. All documents follow the same structure.
{
"_id": ObjectId("5500aaeaa7ef65c7460fa3d9"),
"toptags": {
"tag": [
{
"count": "100",
"name": "Hip-Hop"
},
{
"count": "97",
"name": "french rap"
},
...{
"count": "0",
"name": "seen live"
}
],
"#attr": {
"artist": "113"
}
}
}
1) How can I find() this document using the "artist" value (here "113")?
2) How can I retrieve all "artist" values having a specific "name" value (say "french rap") ?
Referring to chridam answer here above:
db.collection.find({"toptags.#attr.artist": "113"})