from flask import Flask, render_template
from model.brainmap import get_brainmap
from model.journal import read_journal_entries
from model.memory import load_dreams
from model.tokenizer import Tokenizer
from model.abstraction import cluster_vocab
from context.context import load_context
import json
import os
import time


app = Flask(__name__)
tokenizer = Tokenizer()

next_cycle_time = time.time() + 900  # Example: 15 minutes from now


def load_loss_data():
    path = "data/logs/loss.log"
    if not os.path.exists(path):
        return []
    with open(path, "r", encoding="utf-8") as f:
        lines = f.readlines()
    return [float(line.strip().split(",")[1]) for line in lines[-50:]]


def update_next_cycle(seconds):
    global next_cycle_time
    next_cycle_time = time.time() + seconds


@app.route("/")
def index():
    dreams = load_dreams()
    top_dreams = dreams[:5]
    memory_size = len(load_context())
    loss_data = load_loss_data()
    remaining = max(0, int(next_cycle_time - time.time()))
    return render_template("index.html",
                           vocab_size=len(tokenizer.vocab),
                           top_dreams=top_dreams,
                           memory_size=memory_size,
                           loss_data=loss_data,
                           next_cycle=remaining)


@app.route("/brainmap")
def brainmap():
    map_data = get_brainmap()

    nodes = []
    links = []

    for word, connections in map_data.items():
        nodes.append({"id": word})
        for linked_word, weight in connections.items():
            links.append({
                "source": word,
                "target": linked_word,
                "value": weight
            })

    return render_template("brainmap.html", nodes=json.dumps(nodes), links=json.dumps(links))


@app.route("/journal")
def journal():
    entries = read_journal_entries()
    return render_template("journal.html", entries=entries)


@app.route("/concepts")
def concepts():
    clusters = cluster_vocab(n_clusters=10)
    return render_template("concepts.html", clusters=clusters)


def run_dashboard():
    app.run(host="0.0.0.0", port=5000, debug=False, use_reloader=False)