import os
import adodbapi
import pyodbc
from dotenv import load_dotenv

load_dotenv()

# --- ENV Variablen ---
SDF_LOCAL_PFAD = os.getenv("SDF_LOCAL_PFAD")
SDF_NAME = os.getenv("SDF_NAME", "App.sdf")
sdf_file = os.path.join(SDF_LOCAL_PFAD, SDF_NAME)
MSSQL_CONNECTION_STR = os.getenv("MSSQL_CONNECTION_STR")
tables = [t.strip() for t in os.getenv("TABLES", "").split(",") if t.strip()]

print(f"📂 Verbinde mit SDF: {sdf_file}")
sdf_conn = adodbapi.connect(
    f"Provider=Microsoft.SQLSERVER.CE.OLEDB.3.5;Data Source={sdf_file};Persist Security Info=False;"
)
sdf_cursor = sdf_conn.cursor()

print("🔗 Verbinde mit MSSQL...")
mssql_conn = pyodbc.connect(MSSQL_CONNECTION_STR)
mssql_cursor = mssql_conn.cursor()


# --- Hilfsfunktion zur Datentyp-Konvertierung ---
def sdf_to_mssql_type(sdf_type, length):
    sdf_type = sdf_type.lower()
    if "int" in sdf_type:
        return "INT"
    if "float" in sdf_type or "double" in sdf_type:
        return "FLOAT"
    if "decimal" in sdf_type or "numeric" in sdf_type:
        return "DECIMAL(18,2)"
    if "datetime" in sdf_type or "date" in sdf_type:
        return "DATETIME"
    if "bit" in sdf_type or "bool" in sdf_type:
        return "BIT"
    if "image" in sdf_type or "binary" in sdf_type:
        return "VARBINARY(MAX)"
    if "ntext" in sdf_type or "text" in sdf_type:
        return "NVARCHAR(MAX)"
    if "char" in sdf_type or "string" in sdf_type:
        return f"NVARCHAR({length if length and length > 0 else 255})"
    return "NVARCHAR(MAX)"


# --- Tabellen erzeugen ---
for table in tables:
    print(f"\n📋 Analysiere Tabelle: {table}")
    try:
        sdf_cursor.execute(f"SELECT * FROM [{table}] WHERE 1=0")
        columns = []
        column_names = []

        for col in sdf_cursor.description:
            col_name = col[0]
            if col_name.lower() == "id":
                # Id-Spalte wird immer INT PRIMARY KEY
                columns.append("[Id] INT PRIMARY KEY")
            else:
                col_type = str(col[1])
                col_len = col[3]
                sql_type = sdf_to_mssql_type(col_type, col_len)
                columns.append(f"[{col_name}] {sql_type}")
            column_names.append(col_name)

        # Prüfen, ob überhaupt eine Id-Spalte existiert
        if "Id" not in column_names and "ID" not in column_names:
            print("⚠️ Keine Id-Spalte gefunden – füge Id INT PRIMARY KEY hinzu.")
            columns.insert(0, "[Id] INT PRIMARY KEY")

        create_sql = f"CREATE TABLE [{table}] (\n  " + ",\n  ".join(columns) + "\n)"
        print(create_sql)

        try:
            mssql_cursor.execute(create_sql)
            mssql_conn.commit()
            print(f"✅ Tabelle [{table}] in MSSQL erstellt.")
        except Exception as inner:
            print(f"⚠️ Tabelle [{table}] konnte nicht erstellt werden (vielleicht existiert sie bereits): {inner}")

    except Exception as e:
        print(f"❌ Fehler beim Lesen von {table}: {e}")

# --- Aufräumen ---
sdf_cursor.close()
sdf_conn.close()
mssql_cursor.close()
mssql_conn.close()

print("\n🏁 Fertig!")