from sxth_mind import Mind
from sxth_mind.adapters import LearningAdapter

mind = Mind(adapter=LearningAdapter())

exploring → foundations → practicing → applying → deepening
              ↓                           ↓
           stuck ←────────────────────────┘

import asyncio
from sxth_mind import Mind
from sxth_mind.adapters import LearningAdapter

async def main():
    mind = Mind(adapter=LearningAdapter())

    # Learning Python
    await mind.chat("user_1", "I want to learn Python", project_id="learn_python")
    await mind.chat("user_1", "What are list comprehensions?", project_id="learn_python")
    await mind.chat("user_1", "I don't understand, can you show an example?", project_id="learn_python")

    # The adapter notices preference for examples
    state = await mind.get_state("user_1", project_id="learn_python")
    print(f"Identity type: {state['user_mind'].get('identity_type')}")
    # → Likely "hands_on" based on asking for examples

asyncio.run(main())

await mind.chat("user_1", "Learning Python basics", project_id="learn_python")
await mind.chat("user_1", "Started a React course", project_id="learn_react")
await mind.chat("user_1", "Practicing SQL queries", project_id="learn_sql")

# Each topic has its own progress and stage

# These signals trigger "stuck" stage:
# - Repeated similar questions
# - Phrases like "I don't understand", "confused", "stuck"
# - Long gaps in progress
# - Decreasing momentum

# Response adapts:
# - Simplify explanations
# - Offer alternative approaches
# - Break down into smaller steps

{
    "topic": "python",
    "current_module": "loops",
    "exercises_completed": 12,
    "projects_completed": 1,
    "stuck_count": 2,
    "preferred_format": "examples",
}