app.py

import streamlit as st
import firebase_admin
from firebase_admin import credentials
from firebase_admin import firestore
from datetime import datetime

now = datetime.now() # current date and time
year = now.strftime("%Y")
st.write("year:", year)
month = now.strftime("%m")
st.write("month:", month)
day = now.strftime("%d")
st.write("day:", day)
time = now.strftime("%H:%M:%S")
st.write("time:", time)
date_time = now.strftime("%m/%d/%Y, %H:%M:%S")
st.write("date and time:",date_time)	

@st.experimental_singleton
def get_db_firestore():
    cred = credentials.Certificate('test.json')
    firebase_admin.initialize_app(cred, {'projectId': u'clinical-nlp-b9117',})
    db = firestore.client()
    return db

#add data to the beastie with a generic reusable upsert function
def upsert(collection, document, firefield, first, last, born):
    doc_ref = db.collection(collection).document(document)
    doc_ref.set({u'firefield': firefield, u'first': first, u'last': last, u'born': born
})

#read data back in firecollection
def selectCollection(collection):
    users_ref = db.collection(collection)
    docs = users_ref.stream()
    for doc in docs:
        st.write(f'{doc.id} => {doc.to_dict()}')
        
def selectCollectionDocument(collection, document):
    doc_ref = db.collection(collection).document(document)
    doc = doc_ref.get()
    st.write("The id is: ", doc.id)
    st.write("The contents are: ", doc.to_dict())
    
#add data to the beastie with a generic reusable upsert function
def upsertoftheminute(collection, document, firefield, first, last, born):
    date_time = now.strftime("%m/%d/%Y, %H:%M")
    doc_ref = db.collection(collection).document(document)
    doc_ref.set({u'firefield': firefield, u'first': first, u'last': last, u'born': born, u'minute': date_time})
 
 
st.write("singleton stateful connection to cloud firestore")
st.write(u"spin up some awesome 🤯 - episodic and semantic memory 🧠 for AI - here we come")
db = get_db_firestore()

# perceptual system processing agent that can store model 
upsert(u'firecollection', u'firedocument', u'users1', u'Ada', u'Lovelace', 1815)
upsert(u'firecollection', u'firedocument', u'users2', u'Aaron', u'Wacker', 1971)
upsert(u'firecollection1', u'firedocument3', u'users1', u'2022 - AI, Cognitive and Neuroscience to Assist and Augment Behavioral and Medical Health', u'https://www.youtube.com/watch?v=lvh3g7eszVQ&list=PLHgX2IExbFouJoqEr8JMF5MbZSbyC91-L', 2022)
upsert(u'firecollection2', u'firedocument2', u'users2', u'2022 - AI art sci-fi movies and stories 🎭🎞️🍿 by Aaron Wacker 🎬 🧠 🎨', u'https://www.youtube.com/playlist?list=PLHgX2IExbFotUCOCZgpj-5HZBzXOpFMYc', 2022)
upsert(u'firecollection3', u'firedocument3', u'users3', u'😶‍🌫️ 🤯Engineering Consciousness🧠  😶‍🌫️', u'https://youtu.be/rIpUf-Vy2JA?list=PLHgX2IExbFouJoqEr8JMF5MbZSbyC91-L&t=3622', 2022)
upsert(u'firecollection4', u'firedocument4', u'users4', u'🧠🌳Yggdrasil🌳🧠', u'https://github.com/AaronCWacker/Yggdrasil', 2022)

# its all stored here: https://console.firebase.google.com/u/0/project/clinical-nlp-b9117/firestore/data/~2FStreamlitSpaces


selectCollection(u'firecollection')
selectCollection(u'firecollection1')
selectCollection(u'firecollection2')
selectCollection(u'firecollection3')
selectCollection(u'firecollection4')
selectCollectionDocument(u"firecollection", u"firedocument")
selectCollectionDocument(u"firecollection1", u"firedocument3")
selectCollectionDocument(u"firecollection3", u"firedocument3")


# from https://huggingface.co/spaces/awacke1/RealTimeVoiceASR
selectCollectionDocument(u"ASRCollection", u"ASRDocument")


upsert(u'firecollection4', u'firedocument4', u'users4', u'🧠🌳Yggdrasil🌳🧠', u'https://github.com/AaronCWacker/Yggdrasil', 2022)

# intent - upsert at granularity of minute an aggregate document representing fields used in recent activity to replay shared state memory events
upsert(u'TimeSeries', u'DocumentofMinute', u'TestUser1', u'🧠🌳Yggdrasil🌳🧠', u'https://github.com/AaronCWacker/Yggdrasil', 2022)
selectCollectionDocument(u"TimeSeries", u"DocumentofMinute")