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")