from azure.iot.hub import IoTHubRegistryManager
from azure.iot.hub.protocol.models import QuerySpecification, Module
from azure.iot.hub.models import CloudToDeviceMethod, CloudToDeviceMethodResult
from dotenv import load_dotenv
from isight_device import iSightDevice
import pandas as pd
from datetime import datetime, timezone

import json
import os

load_dotenv()

now = datetime.now(timezone.utc)

CONNECTION_STRING = str(os.getenv("CONNECTION_STRING_INOX_PROD"))
if CONNECTION_STRING == "":
    print("Provide a connection string for the Iot Hub before running the script!")
    exit(13)


registry_manager = IoTHubRegistryManager.from_connection_string(CONNECTION_STRING)
query_spec = QuerySpecification(query="SELECT * FROM devices")

query_result = registry_manager.query_iot_hub(query_spec)

rows = []
for twin in query_result.items:
    rows.append({
        "device_id": twin.device_id,
        "number": twin.tags.get("number") if twin.tags else None,
        "site": twin.tags.get("site") if twin.tags else None,
        "subsite": twin.tags.get("subsite") if twin.tags else None,
        "connection_state": twin.connection_state,
        "last_activity_time": twin.last_activity_time
    })

df = pd.DataFrame(rows)
df['number'] = pd.to_numeric(df['number'], errors='coerce')
df['number'] = df['number'].astype('Int64')
df_sorted = df.sort_values(by=["site", "number"]).reset_index(drop=True)

for row in df_sorted.itertuples():
    if "cube" not in row.device_id:
        print(f"\"{row.device_id}\", \"{row.site}\", \"{row.number}\",")


 # Compute difference in hours (float)
df_sorted["time_since_last_activity_hours"] = df_sorted["last_activity_time"].apply(
    lambda x: (now - x).total_seconds() / 3600 if pd.notnull(x) else None
)   

# Also add a readable string
df_sorted["time_since_last_activity_str"] = df_sorted["last_activity_time"].apply(
    lambda x: str(now - x).split(".")[0] if pd.notnull(x) else None
)

if "last_activity_time" in df_sorted.columns:
    df_sorted["last_activity_time"] = df_sorted["last_activity_time"].apply(
        lambda x: x.replace(tzinfo=None) if pd.notnull(x) else x
    )


df_sorted.to_excel("iot_devices_2.xlsx", index=False)