updates

README.md

@@ -0,0 +1,32 @@
+# A Siri like AI Assistant
+---
+
+* Uses ChatGPT for general queries
+* Uses Wolfram Alpha for anything math related
+* Has built in NLP (using a NLI model) for determining if we can process query locally
+* Frontend/Backend architecture for ability to deploy lightweight clients
+
+
+## Skills
+---
+
+[ ] Alarms
+[ ] Calendar
+[ ] Gmail
+[ ] ChatGPT
+[ ] Reminders
+[ ] Timers
+[ ] Todos
+[ ] Weather
+[ ] Wolfram
+[x] NLP
+[x] Speech to Text (frontend for sure)
+[ ] API
+	[ ] Authentication
+	[ ] General API
+[ ] TTS  
+	- generate audio on backend or frontend?
+		- Perks of backend is fast generation
+		- Cons of backend is large file transfers between devices, lots of internet usage
+		- Perks of frontend is less data transfer between devices requiring less internet usage
+		- Cons of frontend is slower generation

backend/auth.py

@@ -1 +1,8 @@
-# TODO: Handle all authentication stuff for verifying client is who we think it is in here.
+# TODO: Handle all authentication stuff for verifying client is who we think it is in here.
+
+# Example: https://github.com/miguelgrinberg/REST-auth
+
+# User/Pass for initial token and refresh token generation, this should 
+# OAuth2 style authentication
+# Flask-RESTFul with 
+# 

backend/main.py

@@ -7,11 +7,24 @@ from skills.timers import Timers
 from skills.todos import Todos
 from skills.weather import Weather
 from skills.wolfram import Wolfram
+from NLP import NLP
+
+import sys
+print(sys.version)
 
 skills = [GPT(), Alarms(), Cal(), Gmail(), Reminders(), Timers(), Todos(), Weather(), Wolfram()]
+skill_names = [skill.trigger_phrase for skill in skills]
 
+print("test")
 
 if __name__ == "__main__":
-	print("Skill Trigger Phrases: ")
-	for skill in skills:
-		print(skill.trigger_phrase)
+	# print("Skill Trigger Phrases: ")
+
+	print(f"Active Skills: {skill_names}")
+
+
+	nlp = NLP()
+
+
+	# for skill in skills:
+		# print(skill.trigger_phrase)

backend/requirements.txt

@@ -0,0 +1,4 @@
+transformers
+spacy
+schedule
+ctparse

backend/skills/auth.py

@@ -0,0 +1 @@
+# TODO: Handle all authentication stuff for verifying client is who we think it is in here.

backend/skills/timers.py

@@ -1,44 +1,107 @@
-from skills.config import ntfy_url
 import requests
 
+if __name__ == "__main__": # Handle 
+	from config import ntfy_url
+else:
+	from skills.config import ntfy_url
+
+
+import threading
+import schedule
+import time
+
+# def job_that_executes_once():
+    # Do some work that only needs to happen once...
+    # return schedule.CancelJob
+
+
+def run_continuously(schedule, interval=1): 
+	# Borrowed from schedule documentation, why reinvent the wheel when its been created.
+    """Continuously run, while executing pending jobs at each
+    elapsed time interval.
+    @return cease_continuous_run: threading. Event which can
+    be set to cease continuous run. Please note that it is
+    *intended behavior that run_continuously() does not run
+    missed jobs*. For example, if you've registered a job that
+    should run every minute and you set a continuous run
+    interval of one hour then your job won't be run 60 times
+    at each interval but only once.
+    """
+    cease_continuous_run = threading.Event()
+
+    class ScheduleThread(threading.Thread):
+        @classmethod
+        def run(cls):
+            while not cease_continuous_run.is_set():
+                schedule.run_pending()
+                time.sleep(interval)
+
+    continuous_thread = ScheduleThread()
+    continuous_thread.start()
+    return cease_continuous_run
+
+
+# while True:
+#     schedule.run_pending()
+#     time.sleep(1)
+
+
 class Timers:
 	def __init__(self):
 		self.trigger_phrase = "timer"
 		self.timers = {}
+		self.schedule = schedule.Scheduler()
 
-	def _add_timer(self, time, name):
-		self.timers[name] = time
-		# use https://schedule.readthedocs.io/en/stable/examples.html#run-a-job-once to trigger self._trigger_timer()
 
-	def _remove_timer(self, name):
-		del self.timers[name]
-
-	def _trigger_timer(self, name):
-		if name in self.timers:
-			r = requests.post(f"https://ntfy.sh/{ntfy_url}",
-				data=f"{name}",
+	def _notify(self, device_id, timer_name):
+		r = requests.post(f"https://ntfy.sh/{device_id}",
+				data=f"{timer_name}",
 				headers={
 					"Title": "Your timer is going off!",
 					"Priority": "default",
 					"Tags": "bell"
 				})
-			print(r.text)
-			#TODO: send ntfy.sh to device
-			#TODO: play timer done sound
+		return r
+
+	def _add_timer(self, time, name):
+		if len(self.timers) == 0:
+			self.stop_run_continuously = run_continuously()
+		self.timers[name] = time
+		# duration = 
+		self.schedule.every().day.at(time.strftime("%H:%M:%S", time.gmtime(duration))).do(self._trigger_timer(name)).tag(name)
+		# use https://schedule.readthedocs.io/en/stable/examples.html#run-a-job-once to trigger self._trigger_timer()
+
+	def _remove_timer(self, name):
+		del self.timers[name]
+		if len(self.timers) == 0:
+			self.stop_run_continuously.set()
+
+	def _trigger_timer(self, name):
+		if name in self.timers:
+			res = self._notify(ntfy_url, name).text
+			print(res)
+
+			self._remove_timer(name)
+
+		# 	#TODO: play timer done sound
+		return schedule.CancelJob
+
+	def get_remaining_time(self, name=""):
+		pass
+		# if name == "":
 
 
-	def run(self, query):
+	def run(self, query="", time=0, name=""):
 		if "add" in query:
-			time = 0 #TODO: Natural Language parse time out of phrase
-			self._add_timer(time)
+			self._add_timer(time, name)
 			return True # Return true to indicate success
 		if "remove" in query:
-			time = 0 #TODO: Natural Language parse time out of phrase
-			self._remove_timer(time)
+			self._remove_timer(name)
 			return True
 		return False # Return false to indicate failure
 
-
+	def _disable_timer_check_thread(self):
+		self.stop_run_continuously.set()
 
 
 if __name__ == "__main__":

backend/skills/utility.py

@@ -0,0 +1,10 @@
+from ctparse import ctparse
+from datetime import datetime
+
+def parsetime(phrase):
+	ts = datetime.now()
+	return ctparse(phrase, ts=ts)
+
+
+if __name__ == "__main__":
+	print(parsetime('May 5th 2:30 in the afternoon').ref_time)