#!/usr/bin/env python
import sys
import subprocess

# === AUTO INSTALL ===
def ensure_package(pkg):
    try:
        __import__(pkg)
    except ImportError:
        subprocess.check_call([sys.executable, "-m", "pip", "install", pkg])

ensure_package("pandas")
ensure_package("matplotlib")

import pandas as pd
import re
from datetime import datetime
import matplotlib.pyplot as plt

# === ARGS ===
if len(sys.argv) < 2:
    print("Usage: python script.py input.txt [output.csv]")
    sys.exit(1)

INPUT_FILE = sys.argv[1]
OUTPUT_FILE = sys.argv[2] if len(sys.argv) > 2 else "poker_clean.csv"

# === HELPERS ===
def clean_money(value):
    if not value or value.strip() in ["-", ""]:
        return 0.0
    return float(value.replace("€", "").replace(",", ".").strip())

def get_category(name):
    n = name.lower()
    if "freeroll" in n:
        return "freeroll"
    if "nitro" in n:
        return "nitro"
    return "expresso"

def get_stake(b):
    return "micro" if b <= 1 else "low" if b <= 5 else "mid" if b <= 20 else "high"

def get_session(h):
    return "morning" if 6 <= h < 12 else "afternoon" if 12 <= h < 18 else "evening" if 18 <= h < 24 else "night"

# === PARSE ===
rows = []

with open(INPUT_FILE, "r", encoding="utf-8") as f:
    for line in f:
        if not line.strip():
            continue

        parts = re.split(r"\s{2,}", line.strip())

        try:
            dt = datetime.strptime(parts[0], "%d/%m/%Y %H:%M:%S")
            name = parts[1]
            buy = float(parts[2])
            players = int(parts[5])

            pos = None if parts[6] == "-" else parts[6]
            prize = clean_money(parts[7]) if len(parts) > 7 else 0.0
            net = clean_money(parts[8]) if len(parts) > 8 else 0.0

            profit = net - buy
            hour = dt.hour

            rows.append({
                "datetime": dt,
                "game": name,
                "buy_in": buy,
                "players": players,
                "position": pos,
                "prize": prize,
                "net": net,
                "profit": profit,
                "category": get_category(name),
                "stake": get_stake(buy),
                "hour": hour,
                "day": dt.strftime("%A"),
                "session": get_session(hour),
                "result": "win" if pos == "1" else "itm" if prize > 0 else "loss"
            })

        except Exception as e:
            print("Skip:", line.strip(), "|", e)

# === DATAFRAME ===
df = pd.DataFrame(rows).sort_values("datetime")
df["cum_profit"] = df["profit"].cumsum()

df.to_csv(OUTPUT_FILE, index=False)
print("Saved:", OUTPUT_FILE)

# === GRAPH ===
plt.figure()
plt.plot(df["datetime"], df["cum_profit"])
plt.xlabel("Time")
plt.ylabel("€")
plt.title("Cumulative Profit")
plt.xticks(rotation=45)
plt.tight_layout()
plt.show()