Add FIO scripts and remove .idea from tracking

- Add FIO bank scripts (fio 01-03, diagnostika, multi-account reporter) - Remove .idea/ IDE config files from git (already in .gitignore) Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-03-25 20:13:54 +01:00
parent 89511c500f
commit 11e71e3f2d
7 changed files with 707 additions and 17 deletions
@@ -0,0 +1,117 @@
+#!/usr/bin/env python3
+# -*- coding: utf-8 -*-
+
+"""
+Export Fio transactions (from MySQL → Excel)
+--------------------------------------------
+- Reads only cislo_uctu = '2800046620'
+- For OZP (protiucet=2070101041) includes only positive objem
+- Each sheet = insurance company (filtered by protiucet)
+- First sheet = summary with total amounts and transaction counts
+"""
+
+import pandas as pd
+import pymysql
+from pathlib import Path
+from datetime import datetime
+
+# ======== CONFIG ========
+MYSQL_CONFIG = {
+    "host": "192.168.1.76",
+    "port": 3307,
+    "user": "root",
+    "password": "Vlado9674+",
+    "database": "fio",
+    "charset": "utf8mb4",
+}
+
+REPORTOVAT = {
+    "VZP": "1114007221",
+    "VOZP": "2010009091",
+    "ČPZP": "2054108761",
+    "OZP": "2070101041",
+    "ZPŠ": "2090309181",
+    "ZPMV": "2112108031",
+}
+
+EXPORT_PATH = Path(r"u:\Dropbox\!!!Days\Downloads Z230") / f"Fio_report_{datetime.now():%Y-%m-%d_%H-%M-%S}.xlsx"
+
+
+# ======== LOAD DATA ========
+def load_data():
+    print("🔄 Načítám data z MySQL (účet 2800046620, pro OZP jen kladné objemy)...")
+    conn = pymysql.connect(**MYSQL_CONFIG)
+
+    sql = """
+        SELECT *
+        FROM transactions
+        WHERE cislo_uctu = '2800046620'
+          AND (
+              protiucet <> '2070101041'
+              OR (protiucet = '2070101041' AND objem > 0)
+          );
+    """
+    df = pd.read_sql(sql, conn)
+    conn.close()
+
+    df.columns = df.columns.str.strip()
+    print(f"✅ Načteno {len(df)} řádků, {len(df.columns)} sloupců.")
+    return df
+
+
+# ======== EXPORT TO EXCEL ========
+def export_to_excel(df):
+    summary_rows = []  # to collect summary per insurer
+
+    with pd.ExcelWriter(EXPORT_PATH, engine="openpyxl") as writer:
+        # --- INDIVIDUAL SHEETS ---
+        for name, acc in REPORTOVAT.items():
+            filtered = df[df["protiucet"].astype(str) == acc]
+            if filtered.empty:
+                print(f"⚠️ {name}: žádné transakce (účet {acc})")
+                summary_rows.append({
+                    "Pojišťovna": name,
+                    "Číslo účtu": acc,
+                    "Počet transakcí": 0,
+                    "Součet objemu": 0.0
+                })
+                continue
+
+            # safe numeric conversion
+            filtered = filtered.copy()
+            filtered["objem_num"] = (
+                filtered["objem"]
+                .astype(str)
+                .str.replace("\u00A0", "", regex=False)
+                .str.replace(",", ".", regex=False)
+                .astype(float)
+            )
+
+            # --- summary data ---
+            total_sum = filtered["objem_num"].sum()
+            total_count = len(filtered)
+
+            summary_rows.append({
+                "Pojišťovna": name,
+                "Číslo účtu": acc,
+                "Počet transakcí": total_count,
+                "Součet objemu": round(total_sum, 2)
+            })
+
+            # --- write detailed sheet ---
+            filtered.to_excel(writer, index=False, sheet_name=name)
+            print(f"✅ {name}: {len(filtered)} řádků exportováno, součet {total_sum:,.2f} Kč")
+
+        # --- SUMMARY SHEET ---
+        summary_df = pd.DataFrame(summary_rows)
+        summary_df["Součet objemu"] = summary_df["Součet objemu"].map("{:,.2f} Kč".format)
+        summary_df.to_excel(writer, index=False, sheet_name="Přehled")
+        print("🧾 Přidán přehledový list s celkovými součty.")
+
+    print(f"\n📊 Hotovo! Soubor uložen jako:\n{EXPORT_PATH}")
+
+
+# ======== MAIN ========
+if __name__ == "__main__":
+    df = load_data()
+    export_to_excel(df)