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import streamlit as st
from google.cloud import firestore
# Authenticate to Firestore with the JSON account key.
db = firestore.Client.from_service_account_json("./firebase.json")
def show_likert_scale(step, type, id):
st.write("-----------------------------------")
st.subheader(f"'{type}' makes sense to me.")
scale = st.radio(
"",
["Strongly disagree", "Disagree", "Neutral", "Agree", "Strongly agree"],
index=None,
horizontal=True,
)
if type == 'Whole':
dependsOn = 'Whole'
else:
st.write("..................................."*10)
st.subheader(f"'{type}' is dependent on?")
dependsOn = st.radio(
"",
["Image", "Text", "Both", "Neither"],
index=None,
horizontal=True,
)
submit = st.button('Submit', disabled=scale is None or dependsOn is None)
st.write("-----------------------------------")
if submit and scale:
st.write(f"You selected '{scale}' and {dependsOn}.")
user = st.session_state['user']
doc_ref = db.collection(step).document(id)
doc_ref.set({
user: {
'scale': scale,
'dependsOn': dependsOn,
},
}, merge=True)
return True
# show_likert_scale('all', 'tmp_cond', '10')
# Create a reference to the Google post.
# doc_ref = db.collection("posts").document("Google")
# # Then get the data at that reference.
# doc = doc_ref.get()
# # Let's see what we got!
# st.write("The id iss: ", doc.id)
# st.write("The contents are: ", doc.to_dict()) |