FlowSynx.Data.Json

Version: 1.1.0
{
  "Type": "FlowSynx.Data.Json",
  "Version": "1.1.0"
}

Loads and parses local JSON files. Supports transformation, extraction, and mapping of hierarchical data structures in workflows.

FlowSynx JSON Plugin

The FlowSynx JSON Plugin is a built-in, plug-and-play integration for the FlowSynx automation engine. It enables parsing, transforming, extracting, and mapping structured or semi-structured JSON data within workflows with no custom coding required.

This plugin is automatically installed by the FlowSynx engine when selected in the workflow builder. It is not intended for standalone developer usage outside the FlowSynx platform.


Purpose

The JSON Plugin allows FlowSynx users to:

  • Parse and inspect complex JSON structures.
  • Extract values using JSONPath-like expressions.
  • Flatten nested objects.
  • Map JSON data to specific output fields using flexible rules.
  • Format the output with indentation for readability.

It integrates seamlessly into FlowSynx no-code/low-code workflows.


Supported Operations

  • extract: Extracts a specific value using a Path expression.
  • transform: Flattens a nested JSON structure into flat key: value pairs.
  • map: Maps fields to new keys using a dictionary of Path expressions.

Operation names are case-insensitive and passed as part of the InputParameter.


Input Parameters

The plugin accepts the following parameters:

  • Operation (string): Required. The type of operation to perform. Supported values are extract, transform, and map.
  • Data (object): Required. The JSON object (or raw JSON string) to process.
  • Path (string): Required for extract operation. A JSONPath-like expression to locate a specific value.
  • Mappings (dictionary): Required for map operation. A dictionary where each key is an output field and each value is a Path expression.
  • Flatten (bool): Optional. Used with transform to specify whether to flatten nested objects (true) or not (false).
  • Indented (bool): Optional. Determines whether the output JSON should be pretty-printed with indentation (true) or compact (false).

Example input

{
  "Operation": "map",
  "Data": { ... },
  "Path": "$.some.path",
  "Mappings": {
    "Name": "$.person.name",
    "Email": "$.person.contact.email"
  },
  "Flatten": true,
  "Indented": true
}

Operation Examples

extract Operation

Input JSON Object:

{
  "meta": {
    "version": "1.0.2",
    "timestamp": "2024-12-01T10:00:00Z"
  }
}

Input Parameters:

{
  "Operation": "extract",
  "Data": { ... },
  "Path": "$.meta.version"
}

Output:

"1.0.2"

Input JSON Array:

[
  { "id": 1 },
  { "id": 2 },
  { "id": 3 }
]

Input Parameters:

{
  "Operation": "extract",
  "Data": "[...]",
  "Path": "$[*].id"
}

Output:

[
    1,
    2,
    3
]

transform Operation

Input Data:

{
  "user": {
    "profile": {
      "name": "Bob",
      "email": "bob@example.com"
    }
  }
}

Input Parameters:

{
  "Operation": "transform",
  "Data": { ... },
  "Flatten": true,
  "Indented": true
}

Output:

{
  "user.profile.name": "Bob",
  "user.profile.email": "bob@example.com"
}

map Operation

Input Data:

{
  "person": {
    "name": "Alice",
    "contact": {
      "email": "alice@example.com"
    }
  }
}

Input Parameters:

{
  "Operation": "map",
  "Data": { ... },
  "Mappings": {
    "Name": "$.person.name",
    "Email": "$.person.contact.email"
  },
  "Indented": true
}

Output:

{
  "Name": "Alice",
  "Email": "alice@example.com"
}

Example Use Case in FlowSynx

  1. Add the JSON plugin to your FlowSynx workflow.
  2. Set Operation to one of: extract, transform, or map.
  3. Provide the JSON input object in Data.
  4. Configure Path, Mappings, Flatten, and Indented depending on the operation.
  5. Use the plugin output downstream in your workflow.

Debugging Tips

  • If the result is null, ensure Path is valid and points to an existing element.
  • If nothing is mapped, check for typos in the Path expressions inside Mappings.
  • To get human-readable output, set Indented to true.

Security Notes

  • No data is persisted unless explicitly configured.
  • All operations run in a secure sandbox within FlowSynx.
  • Only authorized platform users can view or modify configurations.

License

Copyright FlowSynx. All rights reserved.

Version Latest Downloads Last updated
1.1.0 0 07/12/2025
1.0.0 0 07/12/2025
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