"""Self-learning trade journal — each agent sees its own past picks AND how they worked out
before researching tonight. Losses and wins become explicit lessons instead of being forgotten.

Joins past theses with their execution price (orders table) and marks each to market via the
current price. Compact text block injected into the agent's kickoff.
"""

from __future__ import annotations

from loguru import logger

from config.settings import get_settings
from state import db as statedb
from tools.market_data import latest_price

_MAX_ROWS = 10


def lessons_for(persona_id: str) -> str:
    """Past-pick scorecard for one agent. Empty string if no history/DB yet."""
    s = get_settings()
    if not s.db_path.exists():
        return ""
    try:
        con = statedb.connect(s.db_path)
        rows = con.execute(
            """
            SELECT t.trade_date, t.ticker, t.direction, t.conviction, t.thesis,
                   o.est_price, o.status
            FROM theses t
            LEFT JOIN orders o
              ON o.trade_date = t.trade_date AND o.agent = t.agent AND o.ticker = t.ticker
            WHERE t.agent = ?
            ORDER BY t.trade_date DESC, t.conviction DESC
            LIMIT ?
            """,
            (persona_id, _MAX_ROWS),
        ).fetchall()
        con.close()
    except Exception as e:
        logger.warning("journal query failed for {}: {}", persona_id, e)
        return ""
    if not rows:
        return ""

    lines = []
    for r in rows:
        entry = r["est_price"]
        outcome = "not executed"
        if entry:
            px = latest_price(r["ticker"])
            if px:
                chg = (px / entry - 1) * 100
                if (r["direction"] or "long") == "short":
                    chg = -chg
                outcome = f"{chg:+.1f}% since {r['trade_date']} (entry ~{entry:.2f})"
        lines.append(
            f"- {r['trade_date']} {r['ticker']} {r['direction']} conv={r['conviction']}: {outcome}"
            f" | thesis was: {(r['thesis'] or '')[:100]}"
        )
    return (
        "YOUR TRACK RECORD (mark-to-market of your past picks — learn from it; double down on "
        "what worked, avoid repeating what failed):\n" + "\n".join(lines)
    )