56 lines
1.8 KiB
Python
56 lines
1.8 KiB
Python
from azure.iot.hub import IoTHubRegistryManager
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from azure.iot.hub.models import Twin, TwinProperties
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from dotenv import load_dotenv
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import pandas as pd
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import os
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import json
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load_dotenv()
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INPUT_FILE = "cottonwood_devices.xlsx" # Path to your Excel file
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SITE_NAME = "COTTONWOOD" # Parameterized site name
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VERSION = "1.5.0" # Parameterized version
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# Authenticate to your Azure account
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# CONNECTION_STRING = str(os.getenv("CONNECTION_STRING_SAFT_PROD"))
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CONNECTION_STRING = str(os.getenv("CONNECTION_STRING_INOX_PROD"))
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if CONNECTION_STRING == "":
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print("Provide a connection string for the Iot Hub before running the script!")
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exit(13)
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df = pd.read_excel(INPUT_FILE, header=None)
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registry_manager = IoTHubRegistryManager.from_connection_string(CONNECTION_STRING)
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def create_device(device_name, number):
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try:
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# Create the device
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device = registry_manager.create_device_with_sas(
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device_name,
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primary_key="", secondary_key="",
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status="enabled",
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iot_edge=True
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)
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print(f"Created IoT Edge-enabled device: {device_name}")
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# Set tags
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twin = registry_manager.get_twin(device_name)
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twin_patch = Twin(properties=TwinProperties(desired={}), tags={
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"site": SITE_NAME,
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"number": number,
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"version": VERSION
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})
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registry_manager.update_twin(device_name, twin_patch, twin.etag)
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print(f"Updated tags for {device_name}")
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except Exception as e:
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print(f"Error processing {device_name}: {e}")
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# Loop through the Excel file and process each device
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for index, row in df.iterrows():
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device_name = str(row[0]).strip()
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if device_name:
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create_device(device_name, index + 1)
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print("Device provisioning completed.") |