embeddedpy-bridge

A high-level ObjectScript wrapper and utility bridge for InterSystems IRIS Embedded Python.

This library simplifies the interaction between ObjectScript and Python by providing familiar, IRIS-style syntax for Python data structures, automated system-wide mapping, and seamless data conversion.

🚀 Key Features

• Native Wrappers: Use Python list and dict objects with familiar methods like GetAt(), SetAt(), and Count().
• Iterators: Standard ObjectScript iterator support (While iter.%GetNext()).
• Auto-Mapping: Automatic %Z package mapping to make the bridge available in all namespaces.
• Data Conversion: One-line conversion between Python objects and IRIS Dynamic Objects/Arrays.

📦 Installation

Via ZPM (IPM)

zpm "install embeddedpy-bridge"

Via Docker

Clone the Repository

git clone https://github.com/AshokThangavel/embeddedpy-bridge.git
cd embeddedpy-bridge

Build and start the app using Docker Compose:

docker-compose up --build

Stopping the Application

To stop and remove the running containers:

docker-compose down

Naming Convention: The py Prefix

To ensure code clarity and distinguish between native InterSystems IRIS objects and Python-specific utilities, this library uses a py prefix for all core bridge methods:

• pyDict() / pyList(): Explicitly indicates the creation of a Python-backed wrapper.
• pyJSON(): Distinguishes the conversion logic from native %ToJSON() methods.
• pyIsNone(): Clarifies that we are checking for the Python None singleton specifically.

This naming strategy prevents confusion when working in complex classes that mix ObjectScript logic with Embedded Python.

🛠 Usage Samples

Create Python Dictionary object

Create python Dictionary object directly

Set pyDict = ##class(%ZPython.Utils).pyDict()

Working with Dictionaries (%ZPython.Dict)

Forget complex Python proxy syntax. Use the dictionary wrapper just like an IRIS object.

// Create a new wrapped dictionary
Set pyDict = ##class(%ZPython.Utils).zpyDict()
Do pyDict.SetAt("Status", "Active")

Do pyDict.SetAt("Version", 1.2)
// Iterate through keys and values

Set iter = pyDict.%GetIterator()

While iter.%GetNext(.key, .val) {

Write "Key: ", key, " Value: ", val, !

}
// Convert to IRIS Dynamic Object

Set dynObj = pyDict.ToDO()

Write dynObj.%ToJSON()

Create Python list object

Create python list object directly

Set pyList = ##class(%ZPython.Utils).pyList()

2. Working with Lists (%ZPython.List)

Easily manage Python lists with 1-based indexing options or standard append methods.

Set pyList = ##class(%ZPython.Utils).zpyList()
Do pyList.Append("First Item")

Do pyList.Append("Second Item")
Write "Total items: ", pyList.Count(), !
// Access by index

Write "Item 1: ", pyList.GetAt(0), !

3. Smart JSON Bridge

The pyJSON method handles the heavy lifting of converting IRIS Dynamic Objects into raw Python Dictionaries/Lists.

Set dynamic = {"name": "John", "roles": ["Admin", "User"]}
Set pyObj = ##class(%ZPython.Utils).pyJSON(dynamic)
// pyObj is now a true %SYS.Python object (dict)

Write ##class(%ZPython.Utils).IsType(pyObj, "dict") // Returns 1

🔧 API Reference

%ZPython.Utils

%ZPython.Dict / %ZPython.List

• GetAt(index/key): Retrieve a value.
• SetAt(val, index/key): Set a value.
• Count(): Get the size of the collection.
• %GetIterator(): Returns an IRIS-compatible iterator.

📜 License

MIT License. Feel free to use and contribute!