Python exercises with IIoT focus (public)

Selected Python exercises inspired by Industrial IoT (IIoT) patterns: MQTT/UNS-style naming, alarm routing, signal validation, and KPI calculations. The goal of this repo is clarity + realistic plant logic, not building a big framework.

Featured Exercises (progressive difficulty)

1) ex_funcs_iiot.py

Function-based exercises with an IIoT mindset:

• Type hints (basic), runtime checks, dicts, **kwargs
• MQTT/UNS-style topic building
• Report generation with dynamic keys (approved_*, rejected_*)
• Scrap rate calculation
• Alarm routing logic with practical runtime checks

2) ex_mqtt_topic_normalizer.py

MQTT Topic Normalizer (dirty input → clean UNS-style topic):

• Split topics into segments
• Normalize segments (strip/lower/space → _)
• Remove invalid segments (e.g. empty segments caused by //)
• Validate the final structure (site/line/cell/tag) and allowed tags

✅ This exercise uses a full pipeline approach with map + lambda + filter for progressive improvement in data processing style.

3) ex_actionable_event_router.py

Actionable Event Router (events → unified structure):

• Drop stale events (time-based filtering)
• Keep only actionable events:
  • telemetry: value convertible to float
  • alarms: dict payload with sev >= 2
• Transform accepted events into a unified dict (ready for storage / dashboards)

✅ Also built using pipelines (map + filter + lambda) to keep the logic explicit and easy to reason about.

4) ex_map_lambda_kpi.py

A more robust data pipeline that:

• Uses map + lambda to transform process variables (including unit conversion and type validation)
• Validates sensor values (avoids issues like bool behaving like int)
• Calculates scrap percentage and triggers alarms (e.g., HIGH_SCRAP)
• Handles edge cases such as zero production (avoids ZeroDivisionError)

5) 'ex_class_basic.py'

• TopicBuilder

  • Class for building consistent UNS-style MQTT topics
  • Includes topic normalization and cell updates without creating a new instance

• AlarmEvent + AlarmPolicy

  • Separation between alarm data and policy decision logic
  • Simple critical check and actionable filtering

• ShiftReport

  • Shift production summary with total units, scrap rate, warnings, and dictionary export

How to run

Python 3.10+ recommended. No external dependencies.

python ex_funcs_iiot.py python ex_mqtt_topic_normalizer.py python ex_actionable_event_router.py python ex_map_lambda_kpi.py

Why this repo

This repository is a learning log and a small portfolio showcase focused on:

• clean Python fundamentals
• realistic IIoT data handling
• Consistent naming (MQTT / UNS-like conventions)
• Practical validation and robustness for “messy real-world data”

Notes

These are standalone exercises/scripts (not a package). The emphasis is on readable, practical code that scales in complexity over time.