184 lines
6.2 KiB
Python
184 lines
6.2 KiB
Python
import asyncio
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import threading
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import time
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import redis
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import pickle
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import os
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import subprocess
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from datetime import datetime, timezone
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from zoneinfo import ZoneInfo # Python 3.9+
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from bleak import BleakScanner, BleakClient
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from typing import Set, Iterable
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from config import *
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from sensors import *
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from ble import *
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# In-memory cache + thread-safe lock
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_mac_cache: Set[str] = set()
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_lock = threading.Lock()
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_sensors_cache = []
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# ----------------------------------------------------------------------
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# Pickle persistence helpers
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# ----------------------------------------------------------------------
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STATE_FILE = "scanner_state.pkl"
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def save_state() -> None:
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"""
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Persist the MAC cache and sensor objects to disk.
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Called automatically after each cache refresh and at program exit.
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"""
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with _lock:
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state = {
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"mac_cache": _mac_cache,
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"sensors": _sensors_cache,
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}
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try:
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with open(STATE_FILE, "wb") as f:
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pickle.dump(state, f, protocol=pickle.HIGHEST_PROTOCOL)
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print("[Scanner] State persisted to", STATE_FILE)
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except Exception as exc:
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# Don't crash the app – just log the error
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print("[Scanner] Warning: could not persist state:", exc)
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def load_state() -> None:
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"""
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Load the MAC cache and sensor objects from disk if the file exists.
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Called automatically on import.
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"""
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if not os.path.exists(STATE_FILE):
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return
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try:
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with open(STATE_FILE, "rb") as f:
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state = pickle.load(f)
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with _lock:
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# NOTE: we replace the lists/sets to avoid mutating old references
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_mac_cache.clear()
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_mac_cache.update(state.get("mac_cache", []))
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global _sensors_cache
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_sensors_cache = state.get("sensors", [])
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print("[Scanner] Loaded state from", STATE_FILE)
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for cached_mac in _mac_cache:
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print(f"Found {cached_mac}")
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except Exception as exc:
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print("[Scanner] Warning: could not load state:", exc)
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# Load any persisted state on module import
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load_state()
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# Redis Functions
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r = redis.Redis(host=bind_ip, port=redis_port)
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def update_redis(data):
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# Publish to the Redis channel that the WS server is listening on
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r.publish('temp_hum', json.dumps(data))
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if debug_output:
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print("=== Stats Redis Update ===")
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print(json.dumps(data, indent=2))
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return True
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# this very important function updates the MAC cache and the sensor objects
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def update_cache() -> None:
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# Run the async scan in a fresh loop; Bleak requires this.
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# Gets the MACs
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print("")
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print("--- Starting update_cache loop ---")
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new_macs = scan_macs()
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# now that we have MACs, let's get sensor data
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print("Updating sensor data...")
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sensor_data = None
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sensor_data = sensor_data_query(new_macs)
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# print(sensor_data)
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# now we update the data in the sensor objects
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print("Sensor data collected:")
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for sensor_datum in sensor_data:
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print(f"MAC - {sensor_datum['name']} | temp - {sensor_datum['temp']} | humidity - {sensor_datum['humidity']}")
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for sensor in _sensors_cache:
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if sensor.name == sensor_datum['name']:
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sensor.add_or_update(key="temp", value=sensor_datum['temp'])
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sensor.add_or_update(key="humidity", value=sensor_datum['humidity'])
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# if redis is enabled, push full details to the redis server
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if enable_redis:
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update_redis(get_sensor_details())
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save_state()
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#def scan_macs():
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# print("Scanning for MACs:")
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# new_macs = asyncio.run(_scan_once())
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# with _lock:
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# for new_mac in new_macs:
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# print(f"{new_mac}")
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# new_sensor = Sensor(name=f"{new_mac}")
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# if new_mac not in set(_mac_cache):
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# _sensors_cache.append(new_sensor)
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# _mac_cache.update(new_macs)
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# print(f"Found {len(new_macs)} new MACs, total {len(_mac_cache)} MACs in cache.")
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# return new_macs
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# return just the MACs
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def get_cache_snapshot() -> Set[str]:
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"""Return a thread-safe snapshot of the current cache."""
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with _lock:
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return set(_mac_cache)
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# return sensor data and timestamps, can return int or string
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def get_sensor_details(friendly_date = False):
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sensor_list = []
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for sensor in _sensors_cache:
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first_seen = sensor.first_seen
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last_seen = sensor.last_seen
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if friendly_date:
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first_seen = ts_to_pst_string(sensor.first_seen)
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last_seen = ts_to_pst_string(sensor.last_seen)
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# print(f"Summary - {sensor.name}")
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sensor_dict = sensor.to_dict()
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new_sensor = {
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"name": sensor.name,
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"first_seen": first_seen,
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"last_seen": last_seen,
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"comment": sensor.comment,
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**sensor_dict
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}
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sensor_list.append(new_sensor)
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result = {
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"sensors": sensor_list
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}
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return result
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# return just sensor data without timestamps
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def get_sensor_summary():
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sensor_list = []
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for sensor in _sensors_cache:
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# print(f"Summary - {sensor.name}")
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new_sensor = {
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"name": sensor.name,
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"comment": sensor.comment,
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"data": sensor.to_dict(simple_return=True)
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}
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sensor_list.append(new_sensor)
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result = {
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"sensors": sensor_list
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}
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return result
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# helper function for ts int to string
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def ts_to_pst_string(ts_str):
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utc_dt = datetime.fromtimestamp(ts_str, tz=timezone.utc)
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pacific_dt = utc_dt.astimezone(ZoneInfo("America/Los_Angeles"))
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return pacific_dt.strftime("%Y-%m-%d %H:%M:%S")
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# subroutine to run a command, return stdout as array unless zero_only then return [0]
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def run_command(cmd, zero_only=False, use_shell=True, req_check = True):
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# Run the command and capture the output
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result = subprocess.run(cmd, shell=use_shell, check=req_check, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
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# Decode the byte output to a string
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output = result.stdout.decode('utf-8')
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# Split the output into lines and store it in an array
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output_lines = [line for line in output.split('\n') if line]
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# Return result
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try:
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return output_lines[0] if zero_only else output_lines
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except:
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return output_lines |