83 lines
2.1 KiB
Text
83 lines
2.1 KiB
Text
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#!/usr/bin/python
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import subprocess
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from pathlib import Path
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import json
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import pickle
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import time
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import threading
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OUT = f"{Path.home()}/.config/hypr/store/dynamic_out.txt"
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# PREV_PATH = f"{Path.home()}/.config/hypr/store/prev.txt"
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prev = None
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def print(ar):
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with open(OUT,"w") as f:
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f.write(json.dumps(ar))
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# with open(f"{Path.home()}/.config/hypr/im_here","w") as f:
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# f.write("")
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global PAUSE_MEDIA
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PAUSE_MEDIA = False
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def notif_watcher():
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with open(f"{Path.home()}/.config/hypr/store/latest_notif","rb") as f:
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new = pickle.load(f)
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global prev
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if new != prev:
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print(json.dumps({"class":"none","text":""}))
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global PAUSE_MEDIA
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PAUSE_MEDIA = True
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urgency = "low"
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if new["urgency"] == "CRITICAL":
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urgency = "critical"
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elif new["urgency"] == "NORMAL":
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urgency = "normal"
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doc = {
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"class":urgency,
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"text":f'[{new["app_name"]}] {new["summary"]}',
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"tooltip":"notification"
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}
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print(doc)
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time.sleep(3)
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print({"class":"none","text":""})
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PAUSE_MEDIA = False
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prev = new
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def start_watcher():
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while 1:
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notif_watcher()
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time.sleep(0.5)
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def debug():
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while 1:
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print(PAUSE_MEDIA)
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time.sleep(0.5)
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t = threading.Thread(target=start_watcher)
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d = threading.Thread(target=debug)
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t.start()
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# d.start()
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with open("test.log", "wb") as f:
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process = subprocess.Popen(
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"waybar-mpris --position --autofocus".split(),
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stdout=subprocess.PIPE
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)
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print(json.dumps({"class":"none","text":""}))
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for line in iter(lambda: process.stdout.readline().decode("utf-8"), b""):
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dat = json.loads(line)
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if not PAUSE_MEDIA:
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if "text" in dat:
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dat["text"] = dat["text"].replace(" ", "").replace("", "")
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print(dat)
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else:
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print({"class":"none","text":""})
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t.join()
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# d.join()
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