#!/usr/bin/env python3
"""pyspark_016 database initialization: create tables + load seed data"""
from pyspark.sql import SparkSession

spark = SparkSession.builder \
    .appName('dataclaw_eval_init_pyspark_016') \
    .enableHiveSupport() \
    .config('spark.sql.warehouse.dir', '/tmp/hive_warehouse') \
    .getOrCreate()

spark.sql('CREATE DATABASE IF NOT EXISTS internal_platform_db')

# Create dim_org_framework_org_d_f table
spark.sql('''
CREATE TABLE IF NOT EXISTS internal_platform_db.dim_org_framework_org_d_f_pyspark_220 (
    `org_id` BIGINT,
    `org_name` STRING,
    `type_id` BIGINT,
    `type_name` STRING,
    `type_dw` STRING,
    `org_path` STRING,
    `org_full_path` STRING,
    `parent_id` BIGINT,
    `company_id` BIGINT,
    `company_name` STRING,
    `org_bg_01_id` BIGINT,
    `org_bg_01_name` STRING,
    `org_bg_02_id` BIGINT,
    `org_bg_02_name` STRING,
    `business_line_01_id` BIGINT,
    `business_line_01_name` STRING,
    `business_line_02_id` BIGINT,
    `business_line_02_name` STRING,
    `department_01_id` BIGINT,
    `department_01_name` STRING,
    `department_02_id` BIGINT,
    `department_02_name` STRING,
    `department_03_id` BIGINT,
    `department_03_name` STRING,
    `department_04_id` BIGINT,
    `department_04_name` STRING,
    `center_01_id` BIGINT,
    `center_01_name` STRING,
    `center_02_id` BIGINT,
    `center_02_name` STRING,
    `center_03_id` BIGINT,
    `center_03_name` STRING,
    `group_01_id` BIGINT,
    `group_01_name` STRING,
    `group_02_id` BIGINT,
    `group_02_name` STRING,
    `group_03_id` BIGINT,
    `group_03_name` STRING,
    `group_04_id` BIGINT,
    `group_04_name` STRING,
    `group_05_id` BIGINT,
    `group_05_name` STRING,
    `group_06_id` BIGINT,
    `group_06_name` STRING,
    `group_07_id` BIGINT,
    `group_07_name` STRING,
    `group_08_id` BIGINT,
    `group_08_name` STRING,
    `is_enabled` BIGINT,
    `is_deleted` BIGINT,
    `is_virtual` BIGINT,
    `year` STRING,
    `month` STRING,
    `day` STRING
) STORED AS ORC
''')

spark.sql('''
INSERT INTO internal_platform_db.dim_org_framework_org_d_f_pyspark_220 VALUES
(100, 'CompanyA', 1, 'company', 'cp', '/100', '/100', 0, 100, 'CompanyA', 200, 'BG1', -1, '', 300, 'BL1', -1, '', 400, 'Dept1', -1, '', -1, '', -1, '', 500, 'Center1', -1, '', -1, '', 600, 'Group1', -1, '', -1, '', -1, '', -1, '', -1, '', -1, '', -1, '', 1, 0, 0, '2026', '05', '13'),
(400, 'Dept1', 2, 'department', 'dp', '/100/400', '/100/200/300/400', 300, 100, 'CompanyA', 200, 'BG1', -1, '', 300, 'BL1', -1, '', 400, 'Dept1', -1, '', -1, '', -1, '', 500, 'Center1', -1, '', -1, '', 600, 'Group1', -1, '', -1, '', -1, '', -1, '', -1, '', -1, '', -1, '', 1, 0, 0, '2026', '05', '13'),
(500, 'Center1', 3, 'center', 'ct', '/100/500', '/100/200/300/400/500', 400, 100, 'CompanyA', 200, 'BG1', -1, '', 300, 'BL1', -1, '', 400, 'Dept1', -1, '', -1, '', -1, '', 500, 'Center1', -1, '', -1, '', 600, 'Group1', -1, '', -1, '', -1, '', -1, '', -1, '', -1, '', -1, '', 1, 0, 0, '2026', '05', '13'),
(600, 'Group1', 4, 'group', 'gp', '/100/600', '/100/200/300/400/500/600', 500, 100, 'CompanyA', 200, 'BG1', -1, '', 300, 'BL1', -1, '', 400, 'Dept1', -1, '', -1, '', -1, '', 500, 'Center1', -1, '', -1, '', 600, 'Group1', -1, '', -1, '', -1, '', -1, '', -1, '', -1, '', -1, '', 1, 0, 0, '2026', '05', '13')
''')

# Create dim_code_employee_user_org_relation_bare_d_f table
spark.sql('''
CREATE TABLE IF NOT EXISTS internal_platform_db.dim_code_employee_user_org_relation_bare_d_f_pyspark_220 (
    `org_id` BIGINT,
    `org_type_id` BIGINT,
    `company_id` BIGINT,
    `company_name` STRING,
    `org_bg_id` BIGINT,
    `org_bg_name` STRING,
    `business_line_id` BIGINT,
    `business_line_name` STRING,
    `department_id` BIGINT,
    `department_name` STRING,
    `center_id` BIGINT,
    `center_name` STRING,
    `group_id` BIGINT,
    `group_name` STRING,
    `employee_id` BIGINT,
    `user_id` BIGINT,
    `user_name` STRING,
    `employee_type_id` BIGINT,
    `year` STRING,
    `month` STRING,
    `day` STRING
) STORED AS ORC
''')

spark.sql('''
INSERT INTO internal_platform_db.dim_code_employee_user_org_relation_bare_d_f_pyspark_220 VALUES
(600, 4, 100, 'CompanyA', 200, 'BG1', 300, 'BL1', 400, 'Dept1', 500, 'Center1', 600, 'Group1', 1001, 1001, 'alice', 1, '2026', '05', '13'),
(600, 4, 100, 'CompanyA', 200, 'BG1', 300, 'BL1', 400, 'Dept1', 500, 'Center1', 600, 'Group1', 1002, 1002, 'bob', 1, '2026', '05', '13'),
(600, 4, 100, 'CompanyA', 200, 'BG1', 300, 'BL1', 400, 'Dept1', 500, 'Center1', 600, 'Group1', 1003, 1003, 'charlie', 1, '2026', '05', '13')
''')

# Create dual table
spark.sql('''
CREATE TABLE IF NOT EXISTS internal_platform_db.dual_pyspark_220 (
    `dummy` STRING
) STORED AS ORC
''')

spark.sql("INSERT INTO internal_platform_db.dual_pyspark_220 VALUES ('X')")

# Create dwm_code_review_note_user_stat_d_f table
spark.sql('''
CREATE TABLE IF NOT EXISTS internal_platform_db.dwm_code_review_note_user_stat_d_f_pyspark_220 (
    `note_crt_date` DATE,
    `project_id` BIGINT,
    `author_id` BIGINT,
    `author_name` STRING,
    `line_human_note_cnt` BIGINT,
    `line_system_note_cnt` BIGINT,
    `global_human_note_cnt` BIGINT,
    `global_system_note_cnt` BIGINT,
    `total` BIGINT,
    `created_at` TIMESTAMP,
    `updated_at` TIMESTAMP,
    `year` STRING,
    `month` STRING,
    `day` STRING
) STORED AS ORC
''')

spark.sql('''
INSERT INTO internal_platform_db.dwm_code_review_note_user_stat_d_f_pyspark_220 VALUES
(CAST('2026-05-10' AS DATE), 1, 1001, 'alice', 50, 10, 5, 2, 67, CAST('2026-05-10 10:00:00' AS TIMESTAMP), CAST('2026-05-10 10:00:00' AS TIMESTAMP), '2026', '05', '13'),
(CAST('2026-05-08' AS DATE), 2, 1002, 'bob', 30, 5, 3, 1, 39, CAST('2026-05-08 10:00:00' AS TIMESTAMP), CAST('2026-05-08 10:00:00' AS TIMESTAMP), '2026', '05', '13'),
(CAST('2026-05-05' AS DATE), 3, 1003, 'charlie', 20, 3, 2, 0, 25, CAST('2026-05-05 10:00:00' AS TIMESTAMP), CAST('2026-05-05 10:00:00' AS TIMESTAMP), '2026', '05', '13')
''')

# Create dwd_code_review_used_time_d_i table
spark.sql('''
CREATE TABLE IF NOT EXISTS internal_platform_db.dwd_code_review_used_time_d_i_pyspark_220 (
    `dt` STRING,
    `ori_id` BIGINT,
    `review_id` BIGINT,
    `project_id` BIGINT,
    `reviewer_id` BIGINT,
    `reviewer_name` STRING,
    `created_at` STRING,
    `updated_at` STRING,
    `duration_total` BIGINT,
    `duration_today` BIGINT,
    `is_review_author` BIGINT,
    `is_reviewer` BIGINT,
    `is_fileowner` BIGINT,
    `year` STRING,
    `month` STRING,
    `day` STRING
) STORED AS ORC
''')

spark.sql('''
INSERT INTO internal_platform_db.dwd_code_review_used_time_d_i_pyspark_220 VALUES
('2026-05-10', 1, 101, 1, 1001, 'alice', '2026-05-10 09:00:00', '2026-05-10 10:00:00', 3600, 120, 0, 1, 0, '2026', '05', '10'),
('2026-05-11', 2, 102, 2, 1002, 'bob', '2026-05-11 09:00:00', '2026-05-11 10:00:00', 7200, 200, 0, 1, 0, '2026', '05', '11'),
('2026-05-12', 3, 103, 3, 1003, 'charlie', '2026-05-12 09:00:00', '2026-05-12 10:00:00', 5400, 80, 0, 0, 1, '2026', '05', '12')
''')

print('Database initialization complete')
spark.stop()