![]() ![]() Although these schemas are automatically updated on a regular basis they still may happen to be outdated. P圜harm comes bundled with a number of popular schemas. Select the Allow downloading JSON schemas from remote sources and the Use JSON Schema catalog checkboxes. ![]() In the Settings dialog ( Ctrl+Alt+S), go to Languages & Frameworks | Schemas and DTDs | Remote JSON Schemas. Enable automatic download schemas from the JSON Schema Store If it was turned off, you can enable it again at any time. Schemas from the JSON Schema Store can be applied to YAML files as well.īy default, automatic download of Schemas from the JSON Schema Store is enabled. If your configuration file has a custom name or you are working with a scratch file, click No JSON schema on the Status bar and select the required schema from the list or click New Schema Mapping to open the JSON Schema Mappings page and configure a new custom schema. The name of the applied schema is shown on the Status bar. As soon as you open a file whose name is associated with one of the available schemas (for example, tslint.json), P圜harm downloads and uses this schema for it. P圜harm can automatically download and use schemas from the JSON Schema Store that hosts schema files for many popular configuration files. In the File Name Patterns area, click and type *.json in the Add Wildcard dialog that opens. In the Recognized File Types list, select JSON5. In the Settings dialog ( Ctrl+Alt+S), go to Editor | File Types. Extend the JSON5 syntax to all JSON files P圜harm by default treats files with the json5 extension as JSON5 files and supports this new syntax in them. P圜harm recognizes a number of most popular JSON standards including JSON5. You can also use custom JSON Schemas to enable code completion in your JSON files and validate them. In popular types of configuration files, P圜harm provides code completion, thanks to the JSON Schema, which is a special format for describing the structure and contents of such files. P圜harm helps you work with JSON files - it checks their syntax and formatting. However this seems like it is written for equality checks, and doesn't provide that much visual feedback.The JSON format is commonly used for storing data and for configuration files. PPS! Here is a tool in python to compare XML (which possibly could be changed into comparing json (if converted into an etree)). PS! On a side-note it does handle html, so possibly it can handle xml also? I'm not sure if it actually suggests that code is moved, or if that requires some manual labour, but it does claim in the functions view to be able to detect if it is modified, removed or added. The program is not freeware (USD 29.95/user), but you can try it without a license for 30 days. In the Function View, you can customize filter mode to only display modified functions.It can NOT ONLY compare the file content, but also display and report all function, classes, namespace changes in a side-by-side Function View.Compare++ parses source files with built-in analysis for C/C++, C#, Java, php, html, Javascript, CSS3 and other languages, auto-extract the structured code tree and highlight syntax.Language-aware structured comparison for C/C++, Java, C#, Javascript, CSS. In order to help you review code structure changes, a dockable pane "Function View" is provided, in which all structure such as function, class or namespace changes( modified, removed or added) are listed. Through completely understanding of code structures, you can get more precise code comparison results and abundant post-comparison features. When researching for an answer to this question, besides a variant over using SemanticMerge as my suggested answer for "Diff tool for XML Files", I found another tool which claims to be context aware for a few programming languages: Compare++, which brags about the following:Ĭompared with other file comparison tools, the great process made in Compare++ is using language-aware structured comparison engine with two comparison modes ("Code-oriented" and "Text-oriented") to compare source files. ![]()
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