expresso_parser

usr/bin/expresso_parser

@@ -0,0 +1,106 @@
+#!/usr/bin/python env
+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()