m1981

<script lang="ts">
	import { app } from '$lib/state/app.svelte';

	// Since highlights are loaded per-chat via loadChatKnowledge, app.highlights is already filtered
	const highlights = $derived(app.highlights);
</script>

<div class="flex flex-col gap-3">
	{#if highlights.length === 0}
		<p class="text-sm text-base-content/50 text-center mt-8">

m1981

import logging
from typing import List, Optional, Any
from src.game.core import GameContext, GameFlow, GameStep, UIModel
from src.shared.telemetry import measure_time, Telemetry

logger = logging.getLogger(__name__)


class GameDirector:
    def __init__(self, context: GameContext):

m1981

import streamlit as st
import os
import logging
from src.repository import SQLiteQuizRepository
from src.service import QuizService
from src.viewmodel import QuizViewModel  # <--- NEW IMPORT

# --- Logging ---
logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
logger = logging.getLogger(__name__)

m1981

import { PROVIDER_CONFIGS } from '@config/providers/provider.config';
import { Message } from '@type/chat';
import {
  AIProviderBase,
  ProviderKey,
  ProviderCapabilities,
  RequestConfig,
  FormattedRequest,
} from '@type/provider';

m1981

import streamlit as st
import time
import functools
import logging
import sys
from datetime import datetime

logger = logging.getLogger("task_classifier")

# Configure only once to avoid duplicate logs on rerun

m1981

ADR 001: Explicit Persistence (Dirty State Pattern)

Context

Streamlit is a stateless framework that reruns the entire script on every interaction. We are building a local-first application backed by a YAML file.

1. Writing to disk on every single click (e.g., moving a task) introduces latency.
2. Relying solely on st.session_state risks data loss if the user refreshes the browser before saving.

Decision

We will implement a Command Pattern with Explicit Save.

m1981

from typing import List, Optional, Any
from pydantic import BaseModel, Field
from enum import Enum
from dataclasses import dataclass
from models.entities import SystemConfig

class ClassificationType(str, Enum):
    TASK = "task"
    SHOPPING = "resource"
    REFERENCE = "reference"

m1981

from typing import List, Optional, Any
from pydantic import BaseModel, Field
from enum import Enum
from dataclasses import dataclass
from models.entities import SystemConfig

class ClassificationType(str, Enum):
    TASK = "task"
    SHOPPING = "resource"
    REFERENCE = "reference"

m1981

ADR 001: Explicit Persistence (Dirty State Pattern)

Context

Streamlit is a stateless framework that reruns the entire script on every interaction. We are building a local-first application backed by a YAML file.

1. Writing to disk on every single click (e.g., moving a task) introduces latency.
2. Relying solely on st.session_state risks data loss if the user refreshes the browser before saving.

Decision

We will implement a Command Pattern with Explicit Save.

m1981

ADR 001: Explicit Persistence (Dirty State Pattern)

Context

Streamlit is a stateless framework that reruns the entire script on every interaction. We are building a local-first application backed by a YAML file.

1. Writing to disk on every single click (e.g., moving a task) introduces latency.
2. Relying solely on st.session_state risks data loss if the user refreshes the browser before saving.

Decision

We will implement a Command Pattern with Explicit Save.