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"""Test data loaders for stress testing and development.

This module contains specialized data loaders that generate synthetic data
for testing Superset's capabilities with edge cases:
- Wide tables (many columns)
- Many tables (testing catalog performance)
- Long table names (UI edge cases)

These loaders are invoked via CLI flags and are not part of the standard
example datasets.
"""

import logging
import random
import string

import sqlalchemy.sql.sqltypes

from superset.utils.mock_data import add_data, ColumnInfo

logger = logging.getLogger(__name__)

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.TIMESTAMP(),
]


def load_big_data() -> None:
    logger.debug("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")

    logger.debug("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}")

    logger.debug("Creating table with long name")
    name = "".join(random.choices(string.ascii_letters + string.digits, k=60))  # noqa: S311
    add_data(columns=columns, num_rows=10, table_name=name)