import random
import string
from typing import List

import sqlalchemy.sql.sqltypes

from rabbitai.utils.mock_data import add_data, ColumnInfo

COLUMN_TYPES = [
    sqlalchemy.sql.sqltypes.INTEGER(),
    sqlalchemy.sql.sqltypes.VARCHAR(length=255),
    sqlalchemy.sql.sqltypes.TEXT(),
    sqlalchemy.sql.sqltypes.BOOLEAN(),
    sqlalchemy.sql.sqltypes.FLOAT(),
    sqlalchemy.sql.sqltypes.DATE(),
    sqlalchemy.sql.sqltypes.TIME(),
    sqlalchemy.sql.sqltypes.DATETIME(),
]


def load_big_data() -> None:
    print("Creating table `wide_table` with 100 columns")
    columns: List[ColumnInfo] = []
    for i in range(100):
        column: ColumnInfo = {
            "name": f"col{i}",
            "type": COLUMN_TYPES[i % len(COLUMN_TYPES)],
            "nullable": False,
            "default": None,
            "autoincrement": "auto",
            "primary_key": 1 if i == 0 else 0,
        }
        columns.append(column)
    add_data(columns=columns, num_rows=1000, table_name="wide_table")

    print("Creating 1000 small tables")
    columns = [
        {
            "name": "id",
            "type": sqlalchemy.sql.sqltypes.INTEGER(),
            "nullable": False,
            "default": None,
            "autoincrement": "auto",
            "primary_key": 1,
        },
        {
            "name": "value",
            "type": sqlalchemy.sql.sqltypes.VARCHAR(length=255),
            "nullable": False,
            "default": None,
            "autoincrement": "auto",
            "primary_key": 0,
        },
    ]
    for i in range(1000):
        add_data(columns=columns, num_rows=10, table_name=f"small_table_{i}")

    print("Creating table with long name")
    name = "".join(random.choices(string.ascii_letters + string.digits, k=64))
    add_data(columns=columns, num_rows=10, table_name=name)

import random
import string
from typing import List

import sqlalchemy.sql.sqltypes

from rabbitai.utils.mock_data import add_data, ColumnInfo

COLUMN_TYPES = [
    sqlalchemy.sql.sqltypes.INTEGER(),
    sqlalchemy.sql.sqltypes.VARCHAR(length=255),
    sqlalchemy.sql.sqltypes.TEXT(),
    sqlalchemy.sql.sqltypes.BOOLEAN(),
    sqlalchemy.sql.sqltypes.FLOAT(),
    sqlalchemy.sql.sqltypes.DATE(),
    sqlalchemy.sql.sqltypes.TIME(),
    sqlalchemy.sql.sqltypes.DATETIME(),
]


def load_big_data() -> None:
    print("Creating table `wide_table` with 100 columns")
    columns: List[ColumnInfo] = []
    for i in range(100):
        column: ColumnInfo = {
            "name": f"col{i}",
            "type": COLUMN_TYPES[i % len(COLUMN_TYPES)],
            "nullable": False,
            "default": None,
            "autoincrement": "auto",
            "primary_key": 1 if i == 0 else 0,
        }
        columns.append(column)
    add_data(columns=columns, num_rows=1000, table_name="wide_table")

    print("Creating 1000 small tables")
    columns = [
        {
            "name": "id",
            "type": sqlalchemy.sql.sqltypes.INTEGER(),
            "nullable": False,
            "default": None,
            "autoincrement": "auto",
            "primary_key": 1,
        },
        {
            "name": "value",
            "type": sqlalchemy.sql.sqltypes.VARCHAR(length=255),
            "nullable": False,
            "default": None,
            "autoincrement": "auto",
            "primary_key": 0,
        },
    ]
    for i in range(1000):
        add_data(columns=columns, num_rows=10, table_name=f"small_table_{i}")

    print("Creating table with long name")
    name = "".join(random.choices(string.ascii_letters + string.digits, k=64))
    add_data(columns=columns, num_rows=10, table_name=name)
