SLACK CLIENT RESPONSE WITH JSON FORMAT CODE

The common YAML library (Syck) also parses JSON. JSON lacks references (something XML has via extensions like XLink and XPointer) and has no standard path notation comparable to XPath.Д«oth functionally and syntactically, YAML is effectively a superset of JSON. However, XML being a general-purpose markup language, they are syntactically more complex and bigger in file size than JSON, which, in contrast, is specifically designed for data interchange.Д«oth lack an explicit mechanism for representing large binary data types such as image data (although binary data can be serialized in either case by applying a general-purpose binary-to-text encoding scheme). Various XML-based protocols exist to represent the same kind of data structures as JSON for the same kind of data interchange purposes. XML is often used to describe structured data and to serialize objects. Native JSON is generally faster compared to the JavaScript libraries commonly used before.Д¬omparison with other formats Main article: lightweight markup language XML Recent web browsers now either have or are working on native JSON encoding/decoding which removes the eval() security problem above.

Rather than using a JSON-specific parser, the JavaScript interpreter itself is used to execute the JSON data to produce native JavaScript objects.

SLACK CLIENT RESPONSE WITH JSON FORMAT CODE

While not the only way to process JSON, it is an easy and popular technique, stemming from JSON's compatibility with JavaScript's eval() function, and illustrated by the following code examples.Д«ecause all JSON-formatted text is also syntactically legal JavaScript code, an easy way for a JavaScript program to parse JSON-formatted data is to use the built-in JavaScript eval() function, which was designed to evaluate JavaScript expressions.

These concerns center on the use of a JavaScript interpreter to dynamically execute JSON text as JavaScript, thus exposing a program to errant or malicious script contained therein-often a chief concern when dealing with data retrieved from the internet. JSON Schema is based on the concepts from XML Schema, RelaxNG, and Kwalify, but is intended to be JSON-based, so that JSON data in the form of a schema can be used to validate JSON data, the same serialization/deserialization tools can be used for the schema and data, and it can be self descriptive.ДЄlthough JSON is intended as a data serialization format, its design as a subset of the JavaScript programming language poses several security concerns. JSON Schema is intended to provide validation, documentation, and interaction control of JSON data. JSON Schema provides a contract for what JSON data is required for a given application and how it can be modified, much like what XML Schema provides for XML. JSON Schema is a specification for a JSON-based format for defining the structure of JSON data. There are several ways to verify the structure and data types inside a JSON object, much like an XML schema.

A JSON parser will accept only valid JSON, preventing potentially malicious code from running. Unless a client absolutely trusts the source of the text, or must parse and accept text which is not strictly JSON-compliant, one should avoid eval().

The recommended way, however, is to use a JSON parser. The contact variable must be wrapped in parentheses to avoid an ambiguity in JavaScript's syntax.

Slack client response with json format