import collections.abc

from benchmarks.helpers import ascii_table

# moz_sql_parser 3.10 compatibility
collections.Iterable = collections.abc.Iterable
import timeit

import numpy as np

# import sqlfluff
# import moz_sql_parser
# import sqloxide
# import sqlparse
import sqltree

import sqlglot

long = """
SELECT
  "e"."employee_id" AS "Employee #",
  "e"."first_name" || ' ' || "e"."last_name" AS "Name",
  "e"."email" AS "Email",
  "e"."phone_number" AS "Phone",
  TO_CHAR("e"."hire_date", 'MM/DD/YYYY') AS "Hire Date",
  TO_CHAR("e"."salary", 'L99G999D99', 'NLS_NUMERIC_CHARACTERS = ''.,'' NLS_CURRENCY = ''$''') AS "Salary",
  "e"."commission_pct" AS "Commission %",
  'works as ' || "j"."job_title" || ' in ' || "d"."department_name" || ' department (manager: ' || "dm"."first_name" || ' ' || "dm"."last_name" || ') and immediate supervisor: ' || "m"."first_name" || ' ' || "m"."last_name" AS "Current Job",
  TO_CHAR("j"."min_salary", 'L99G999D99', 'NLS_NUMERIC_CHARACTERS = ''.,'' NLS_CURRENCY = ''$''') || ' - ' || TO_CHAR("j"."max_salary", 'L99G999D99', 'NLS_NUMERIC_CHARACTERS = ''.,'' NLS_CURRENCY = ''$''') AS "Current Salary",
  "l"."street_address" || ', ' || "l"."postal_code" || ', ' || "l"."city" || ', ' || "l"."state_province" || ', ' || "c"."country_name" || ' (' || "r"."region_name" || ')' AS "Location",
  "jh"."job_id" AS "History Job ID",
  'worked from ' || TO_CHAR("jh"."start_date", 'MM/DD/YYYY') || ' to ' || TO_CHAR("jh"."end_date", 'MM/DD/YYYY') || ' as ' || "jj"."job_title" || ' in ' || "dd"."department_name" || ' department' AS "History Job Title",
  case when 1 then 1 when 2 then 2 when 3 then 3 when 4 then 4 when 5 then 5 else a(b(c + 1 * 3 % 4)) end
FROM "employees" AS e
JOIN "jobs" AS j
  ON "e"."job_id" = "j"."job_id"
LEFT JOIN "employees" AS m
  ON "e"."manager_id" = "m"."employee_id"
LEFT JOIN "departments" AS d
  ON "d"."department_id" = "e"."department_id"
LEFT JOIN "employees" AS dm
  ON "d"."manager_id" = "dm"."employee_id"
LEFT JOIN "locations" AS l
  ON "d"."location_id" = "l"."location_id"
LEFT JOIN "countries" AS c
  ON "l"."country_id" = "c"."country_id"
LEFT JOIN "regions" AS r
  ON "c"."region_id" = "r"."region_id"
LEFT JOIN "job_history" AS jh
  ON "e"."employee_id" = "jh"."employee_id"
LEFT JOIN "jobs" AS jj
  ON "jj"."job_id" = "jh"."job_id"
LEFT JOIN "departments" AS dd
  ON "dd"."department_id" = "jh"."department_id"
ORDER BY
  "e"."employee_id"
"""

short = "select 1 as a, case when 1 then 1 when 2 then 2 else 3 end as b, c from x"

crazy = "SELECT 1+"
crazy += "+".join(str(i) for i in range(500))
crazy += " AS a, 2*"
crazy += "*".join(str(i) for i in range(500))
crazy += " AS b FROM x"

tpch = """
WITH "_e_0" AS (
  SELECT
    "partsupp"."ps_partkey" AS "ps_partkey",
    "partsupp"."ps_suppkey" AS "ps_suppkey",
    "partsupp"."ps_supplycost" AS "ps_supplycost"
  FROM "partsupp" AS "partsupp"
), "_e_1" AS (
  SELECT
    "region"."r_regionkey" AS "r_regionkey",
    "region"."r_name" AS "r_name"
  FROM "region" AS "region"
  WHERE
    "region"."r_name" = 'EUROPE'
)
SELECT
  "supplier"."s_acctbal" AS "s_acctbal",
  "supplier"."s_name" AS "s_name",
  "nation"."n_name" AS "n_name",
  "part"."p_partkey" AS "p_partkey",
  "part"."p_mfgr" AS "p_mfgr",
  "supplier"."s_address" AS "s_address",
  "supplier"."s_phone" AS "s_phone",
  "supplier"."s_comment" AS "s_comment"
FROM (
  SELECT
    "part"."p_partkey" AS "p_partkey",
    "part"."p_mfgr" AS "p_mfgr",
    "part"."p_type" AS "p_type",
    "part"."p_size" AS "p_size"
  FROM "part" AS "part"
  WHERE
    "part"."p_size" = 15
    AND "part"."p_type" LIKE '%BRASS'
) AS "part"
LEFT JOIN (
  SELECT
    MIN("partsupp"."ps_supplycost") AS "_col_0",
    "partsupp"."ps_partkey" AS "_u_1"
  FROM "_e_0" AS "partsupp"
  CROSS JOIN "_e_1" AS "region"
  JOIN (
    SELECT
      "nation"."n_nationkey" AS "n_nationkey",
      "nation"."n_regionkey" AS "n_regionkey"
    FROM "nation" AS "nation"
  ) AS "nation"
    ON "nation"."n_regionkey" = "region"."r_regionkey"
  JOIN (
    SELECT
      "supplier"."s_suppkey" AS "s_suppkey",
      "supplier"."s_nationkey" AS "s_nationkey"
    FROM "supplier" AS "supplier"
  ) AS "supplier"
    ON "supplier"."s_nationkey" = "nation"."n_nationkey"
    AND "supplier"."s_suppkey" = "partsupp"."ps_suppkey"
  GROUP BY
    "partsupp"."ps_partkey"
) AS "_u_0"
  ON "part"."p_partkey" = "_u_0"."_u_1"
CROSS JOIN "_e_1" AS "region"
JOIN (
  SELECT
    "nation"."n_nationkey" AS "n_nationkey",
    "nation"."n_name" AS "n_name",
    "nation"."n_regionkey" AS "n_regionkey"
  FROM "nation" AS "nation"
) AS "nation"
  ON "nation"."n_regionkey" = "region"."r_regionkey"
JOIN "_e_0" AS "partsupp"
  ON "part"."p_partkey" = "partsupp"."ps_partkey"
JOIN (
  SELECT
    "supplier"."s_suppkey" AS "s_suppkey",
    "supplier"."s_name" AS "s_name",
    "supplier"."s_address" AS "s_address",
    "supplier"."s_nationkey" AS "s_nationkey",
    "supplier"."s_phone" AS "s_phone",
    "supplier"."s_acctbal" AS "s_acctbal",
    "supplier"."s_comment" AS "s_comment"
  FROM "supplier" AS "supplier"
) AS "supplier"
  ON "supplier"."s_nationkey" = "nation"."n_nationkey"
  AND "supplier"."s_suppkey" = "partsupp"."ps_suppkey"
WHERE
  "partsupp"."ps_supplycost" = "_u_0"."_col_0"
  AND NOT "_u_0"."_u_1" IS NULL
ORDER BY
  "supplier"."s_acctbal" DESC,
  "nation"."n_name",
  "supplier"."s_name",
  "part"."p_partkey"
LIMIT 100
"""


def sqlglot_parse(sql):
    sqlglot.tokens.USE_RS_TOKENIZER = False
    sqlglot.parse_one(sql, error_level=sqlglot.ErrorLevel.IGNORE)


def sqlglotrs_parse(sql):
    sqlglot.tokens.USE_RS_TOKENIZER = True
    sqlglot.parse_one(sql, error_level=sqlglot.ErrorLevel.IGNORE)


def sqltree_parse(sql):
    sqltree.api.sqltree(sql.replace('"', "`").replace("''", '"'))


def sqlparse_parse(sql):
    sqlparse.parse(sql)


def moz_sql_parser_parse(sql):
    moz_sql_parser.parse(sql)


def sqloxide_parse(sql):
    sqloxide.parse_sql(sql, dialect="ansi")


def sqlfluff_parse(sql):
    sqlfluff.parse(sql)


def diff(row, column):
    if column == "Query":
        return ""
    column = row[column]
    if isinstance(column, str):
        return " (N/A)"
    return f" ({str(column / row['sqlglot'])[0:5]})"


libs = [
    "sqlglot",
    "sqlglotrs",
    # "sqlfluff",
    "sqltree",
    # "sqlparse",
    # "moz_sql_parser",
    # "sqloxide",
]
table = []

for name, sql in {"tpch": tpch, "short": short, "long": long, "crazy": crazy}.items():
    row = {"Query": name}
    table.append(row)
    for lib in libs:
        try:
            row[lib] = np.mean(timeit.repeat(lambda: globals()[lib + "_parse"](sql), number=3))
        except Exception as e:
            print(e)
            row[lib] = "error"

print(
    ascii_table(
        [
            {k: v if v == "Query" else str(row[k])[0:7] + diff(row, k) for k, v in row.items()}
            for row in table
        ]
    )
)
