Samuele Locatelli
39 lines
1.6 KiB
Markdown
39 lines
1.6 KiB
Markdown
# TODO - PLC Client Web Project
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## Objectives
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- [x] Implement a Flask web server to display PLC data.
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- [x] Replicate `plc_client.py` output in the web interface.
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- [x] Improve S7 connection management (robust connection, clean exit).
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- [x] Use external HTML/CSS/JS files.
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## Tasks
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### 1. Infrastructure & Setup
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- [x] Create `todo.md` (Done)
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- [x] Create folder structure:
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- `templates/` (for HTML)
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- `static/css/` (for CSS)
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- `static/js/` (for JS)
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- [x] Initialize Flask app in `plc_client_web.py`.
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### 2. Backend Logic (Migration from `plc_client.py`)
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- [x] Analyze `plc_client.py` to identify core logic (polling, parsing, S7 connection).
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- [x] Refactor S7 communication into a separate class or thread-safe module.
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- [x] Implement robust connection handling (reconnect on failure, clean exit).
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- [x] Implement data polling loop that updates a shared state (e.g., a global variable or a thread-safe object).
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### 3. Frontend & Integration
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- [x] Create `templates/index.html`.
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- [x] Create `static/css/style.css`.
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- [x] Create `static/js/script.js` to fetch data from the Flask server via AJAX/Fetch API.
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- [x] Create Flask routes to serve the page and provide data as JSON.
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### 4. Refinement
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- [x] Match `plc_client.py` output exactly (initial phase).
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- [x] Optimize polling frequency and UI updates.
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- [x] Error handling and logging for the web version.
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## Next Steps
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- [ ] Transition from hardcoded DB names (DB900, DB901, etc.) to a configurable array of memory objects.
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- [ ] Implement a persistent data logging system to save sessions to JSON/Database.
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- [ ] Add advanced chart types (e.g. Histograms, multi-axis charts).
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