dashboard.py

import datetime
from fossil_mastodon import config, core, science, ui
import streamlit as st
import datetime
import random

st.title("fossil")
link_style = ui.LinkStyle()

@st.cache_data
def default_date():
    return datetime.datetime.utcnow() - datetime.timedelta(days=1)

@st.cache_data
def get_toots(_cache_key: int, timeline_since, n_clusters) -> list[core.Toot]:
    print("get_toots", _cache_key, st.session_state.cache_key, "since=", datetime.datetime.utcnow() - timeline_since)
    toots = core.Toot.get_toots_since(datetime.datetime.utcnow() - timeline_since)
    if len(toots) > 0:
        ui.all_toot_summary(toots)
        science.assign_clusters(st.session_state['id'], toots, n_clusters=n_clusters)
    return toots

# Refresh button
latest_date = core.Toot.get_latest_date()
if latest_date is None:
    is_refreshing = st.button("Download toots")
    if is_refreshing:
        with st.spinner("Downloading toots..."):
            core.create_database()
            core.download_timeline(datetime.datetime.utcnow() - datetime.timedelta(days=1), st.session_state['id'])
            latest_date = core.Toot.get_latest_date()
        st.session_state.cache_key = random.randint(0, 10000)
else:
    is_refreshing = st.button("Refresh toots")
    if is_refreshing:
        with st.spinner("Downloading toots..."):
            core.create_database()
            core.download_timeline(latest_date,  st.session_state['id'])
        st.session_state.cache_key = random.randint(0, 10000)

# customize timeline segment to analyze
timeline_since = ui.get_time_frame()

# customize clustering algo
n_clusters = st.slider("Number of clusters", 2, 20, 15)

if "cache_key" not in st.session_state:
    print("init cache_key", st.session_state)
    st.session_state.cache_key = random.randint(0, 10000)

if st.button("Show"):
    st.session_state.cache_key = random.randint(0, 10000)

print(f"state: {st.session_state.cache_key}")

toots = get_toots(st.session_state.cache_key, timeline_since, n_clusters)
clusters = sorted(list({t.cluster for t in toots if t.cluster}))
if len(toots) == 0:
    st.markdown("No toots found. Try clicking **Download toots** or **Refresh toots** above and then click **Show**.")
else:
    for cluster in clusters:
        cluster_count = len([t for t in toots if t.cluster == cluster])
        with st.expander(f"{cluster} ({cluster_count} toots)"):
            for toot in toots:
                if toot.cluster == cluster:
                    ui.display_toot(toot, link_style)