Connector Details
Type
Virtual machines, Single VM , BYOL
Runs on
Google Compute Engine
Last Update
24 October, 2024
Category
Polisen Events Connector
Overview
The Polisen Connector facilitates seamless integration with the Polisen events, enabling access to event-related data for applications such as data analytics, visualization tools, or incident monitoring systems. This connector acts as a proxy to streamline data retrieval, supporting actions for event enumeration with optional filtering by date, location, and event type.
Integration Overview
This document provides a detailed guide for the integration point, its purpose, configuration, and workflow support using the Polisen API Connector.
- getEvents: Retrieves a list of events from the Polisen API with optional filtering by date, location, and event type.
Detailed Integration Documentation
Events Retrieval
| Action | getEvents |
| Purpose | Retrieves a list of events from the Polisen API. This serves as the primary entry point for accessing event data, with support for filtering by datetime, location, and event type. |
| Parameters |
|
| Configuration | Ensure the connector is configured with the correct base URL via CONNECTOR_ENV_POLISEN_BASE_URL (default: https://polisen.se). Port is configurable via CONNECTOR_ENV_PORT (default: 8081). |
| Output |
|
| Workflow Example | Configure the connector with the appropriate base URL (e.g., https://polisen.se). Execute the getEvents action with optional parameters (e.g., DateTime=2025-09-01T15:00:00&locationname=Stockholm). Process the response to display or analyze event data. |
Workflow Creation with the Connector
Example Workflow: Fetching and Filtering Events
| Retrieve Events |
Use the getEvents action to fetch a list of events.Example: Query /api/events?locationname=Stockholm&type=incident to retrieve incidents in Stockholm.
|
| Process Event Data | Parse the JSON response to extract relevant event details (e.g., event ID, timestamp, location). |
| Analyze or Visualize | Use the retrieved event data for analysis (e.g., incident trends) or visualization (e.g., mapping events). |
This workflow enables applications to perform targeted discovery, metadata enrichment, and reliable delivery of scholarly records, improving catalog quality, reporting accuracy, and integration efficiency.
Pricing
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