Extracting "values", and "tuples" nested inside a JSON
Hello,
I have some inquires I would like to make in reference to the code below,
We are using Blancco API, to populate reports from Blancco into our form, we are using the getJson() function to populate the data;
I have been able to extract the data up on till "target" array, but the issue occurring, is that my method of extraction is not sustainable, because I am using "for loop", "if" statements, and "contains()", so when "keys" appears multiple times but with different "values" nested as tuples, it only returns the last tuple, and ignores the rest.
I am trying to extract all the "values" nested inside the "tuples" nested inside "target" array.
Example; The "values" nested inside "target_id", "internal_id", "controller_internal_id" etc.
How do I solve this problem?
This code below shows, what I have done in trying to solve that problem for "target", but it's returning only the "keys", and not the "values";
blancco_erasure_report = response.getJSON("reports")
.getJSON("blancco_data").getJSON("blancco_erasure_report");
// ###################################################################
erasures = response.getJSON("reports").getJSON("blancco_data")
.getJSON("blancco_erasure_report").getJson("erasures");
// ###################################################################
erasure = response.getJSON("reports").getJSON("blancco_data").getJSON("blancco_erasure_report")
.getJson("erasures").getJson("erasure");
// ###################################################################
m = Map();
l = List();
for each erasure_info in erasure
{
if(erasure_info.contains("erasure_id"))
{
erasure_type1 = erasure_info.getJson("@type");
erasure_erasure_id = erasure_info.getJson("erasure_id");
}
if(erasure_info.contains("timestamp"))
{
erasure_type2 = erasure_info.getJson("@type");
erasure_timestamp = erasure_info.getJson("timestamp");
}
// EXTRACTION OF "TARGET" CODE BELOW
for each rec1 in erasure_info.getJson("target")
{
if(rec1.keys().tostring().remove("@type,") != {"region","supported_formats","features"})
{
l.add(rec1.keys().tostring().remove("@type,"));
}
if(rec1.keys().tostring().remove("@type,") == "region")
{
m1 = Map();
l1 = list();
//l99 = list();
for each rec3 in rec1.getjson("region")
{
l1.add(rec3.keys().tostring().remove("@type,"));
info "l: " + l;
}
m1.put("regions",l1);
l.add(m1);
}
if(rec1.keys().tostring().remove("@type,") == "features")
{
m2 = Map();
l2 = list();
for each rec4 in rec1.getjson("features")
{
l2.add(rec4.keys().tostring().remove("@type,"));
}
m2.put("features",l2);
l.add(m2);
}
if(rec1.keys().tostring().remove("@type,") == "supported_formats")
{
m3 = Map();
l3 = list();
for each rec4 in rec1.getjson("supported_formats")
{
m4 = Map();
l4 = list();
for each rec5 in rec4.getjson("format")
{
l4.add(rec5.keys().tostring().remove("@type,"));
}
m4.put("format",l4);
l3.add(m4);
}
m3.put("supported_formats",l3);
l.add(m3);
}
}
}
// PLEASE NOTE;
//info "l: " + l; // Note: "l" is the whole "target"
info "----------------------------";
//info "l1: " + l1; // Note: "l1" is the data nested inside the "region" <key>
info "----------------------------";
//info "m1: " + m1; // Note: "m1" is the whole "region"
info "----------------------------";
//info "m2: " + m2; // Note: "m2" is the whole "features"
info "----------------------------";
//info "l2: " + l2; // Note: "l2" is the data nested inside the "features" <key>
info "----------------------------";
//info "m3: " + m3; // Note: "m3" is the whole "supported_formats"
info "----------------------------";
//info "m4: " + m4; // Note: "m4" is the whole "format" nested inside "supported_formats"
info "----------------------------";
//info "l4: " + l4; // Note: "l4" is the data nested inside the "format" <key>
info "----------------------------";
// ###################################################################
m.put("target",l);
This is the Full code below;
{
"reports": [
{
"blancco_data": {
"description": {
"document_id": "Redacted",
"document_log": [
{
"author": {
"product_name": {
"@id": "30",
"@name": "Redacted",
"value": "Redacted"
},
"product_version": "Redacted",
"product_revision": "Redacted"
},
"date": "2024-04-24T10:26:08+0000",
"clock_source": "Redacted"
}
],
"description_entries": {
"company_information": [
{
"@type": "string",
"customer_license": "Redacted"
},
{
"@type": "string",
"erasure_provider": "Redacted"
}
],
"license_consumption_ids": [
{
"@type": "string",
"license_consumption_id": "Redacted"
}
]
}
},
"blancco_erasure_report": {
"erasures": [
{
"erasure": [
{
"@type": "uint",
"erasure_id": 1
},
{
"@type": "string",
"timestamp": "Redacted"
},
{
"target": [
{
"@type": "uint",
"target_id": 2
},
{
"@type": "uint",
"internal_id": 42
},
{
"@type": "uint",
"controller_internal_id": 29
},
{
"@type": "string",
"type": "disk"
},
{
"@type": "string",
"model": "Redacted"
},
{
"@type": "string",
"vendor": "Redacted"
},
{
"@type": "string",
"serial": "Redacted"
},
{
"@type": "string",
"oui": "Redacted"
},
{
"@type": "string",
"firmware_revision": "11200108"
},
{
"@type": "uint",
"blocksize": 512
},
{
"@type": "string",
"interface_type": "Redacted"
},
{
"@type": "uint",
"capacity": 123456789012
},
{
"@type": "uint",
"sectors": 123456789012
},
{
"region": [
{
"@type": "string",
"type": "Redacted"
},
{
"@type": "uint",
"capacity": 123456789012
},
{
"@type": "uint",
"sectors": 123456789012
},
{
"@type": "string",
"status": "Redacted"
}
]
},
{
"@type": "string",
"health": "good"
},
{
"@type": "uint",
"namespace_id": 1
},
{
"@type": "uint",
"namespaces_size": 1
},
{
"@type": "string",
"namespace_eui": "Redacted"
},
{
"@type": "string",
"namespace_nguid": "Redacted"
},
{
"@type": "string",
"metadata_protocol": "Redacted"
},
{
"@type": "string",
"metadata_support": "Redacted"
},
{
"@type": "uint",
"metadata_blocksize": 0
},
{
"supported_formats": [
{
"format": [
{
"@type": "uint",
"index": 0
},
{
"@type": "uint",
"sector_size": 517
},
{
"@type": "uint",
"metadata_size": 0
}
]
},
{
"format": [
{
"@type": "uint",
"index": 1
},
{
"@type": "uint",
"sector_size": 4094
},
{
"@type": "uint",
"metadata_size": 0
}
]
}
]
},
{
"@type": "uint",
"selected_format": 0
},
{
"features": [
{
"@type": "string",
"feature": "Redacted"
},
{
"@type": "string",
"feature": "Redacted"
},
{
"@type": "string",
"feature": "Redacted"
},
{
"@type": "string",
"feature": "Redacted"
},
{
"@type": "string",
"feature": "Redacted"
}
]
}
]
}
]
}
]
}
}
}
]
}
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