# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements.  See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership.  The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License.  You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied.  See the License for the
# specific language governing permissions and limitations
# under the License.
#

# Uncomment the following line to use apache-iotdb module installed by pip3

import random

import numpy as np

from iotdb.Session import Session
from iotdb.template.InternalNode import InternalNode
from iotdb.template.MeasurementNode import MeasurementNode
from iotdb.template.Template import Template
from iotdb.utils.IoTDBConstants import TSDataType, TSEncoding, Compressor
from iotdb.utils.Tablet import Tablet
from iotdb.utils.NumpyTablet import NumpyTablet

# creating session connection.
ip = "127.0.0.1"
port_ = "6667"
username_ = "root"
password_ = "root"
session = Session(ip, port_, username_, password_, fetch_size=1024, zone_id="UTC+8")
session.open(False)

ts_path_list = [
    "root.eg.exchange.s0",
    "root.eg.exchange.s1",
    "root.eg.exchange.s2",
    "root.eg.exchange.s3",
    "root.eg.exchange.s4",
    "root.eg.exchange.s5",
    "root.eg.exchange.s6",
    "root.eg.exchange.s7"
]

fetch_args = {
    "start_time": 631123200000,
    "end_time": 1286640000000,
    "interval": 86400000 * 96,
    "sliding_step": 86400000,
    # "indexes": [0, 1]
    "indexes": random.sample([i for i in range(0, 7492)], 100)
}

result = session.fetch_window_batch(ts_path_list, None, fetch_args)
print(result.shape)

#
# # create and delete databases
# session.set_storage_group("root.sg_test_01")
# session.set_storage_group("root.sg_test_02")
# session.set_storage_group("root.sg_test_03")
# session.set_storage_group("root.sg_test_04")
# session.delete_storage_group("root.sg_test_02")
# session.delete_storage_groups(["root.sg_test_03", "root.sg_test_04"])
#
# # setting time series.
# session.create_time_series(
#     "root.sg_test_01.d_01.s_01", TSDataType.BOOLEAN, TSEncoding.PLAIN, Compressor.SNAPPY
# )
# session.create_time_series(
#     "root.sg_test_01.d_01.s_02", TSDataType.INT32, TSEncoding.PLAIN, Compressor.SNAPPY
# )
# session.create_time_series(
#     "root.sg_test_01.d_01.s_03", TSDataType.INT64, TSEncoding.PLAIN, Compressor.SNAPPY
# )
# session.create_time_series(
#     "root.sg_test_01.d_02.s_01",
#     TSDataType.BOOLEAN,
#     TSEncoding.PLAIN,
#     Compressor.SNAPPY,
#     None,
#     {"tag1": "v1"},
#     {"description": "v1"},
#     "temperature",
# )
#
# # setting multiple time series once.
# ts_path_lst_ = [
#     "root.sg_test_01.d_01.s_04",
#     "root.sg_test_01.d_01.s_05",
#     "root.sg_test_01.d_01.s_06",
#     "root.sg_test_01.d_01.s_07",
#     "root.sg_test_01.d_01.s_08",
#     "root.sg_test_01.d_01.s_09",
# ]
# data_type_lst_ = [
#     TSDataType.FLOAT,
#     TSDataType.DOUBLE,
#     TSDataType.TEXT,
#     TSDataType.FLOAT,
#     TSDataType.DOUBLE,
#     TSDataType.TEXT,
# ]
# encoding_lst_ = [TSEncoding.PLAIN for _ in range(len(data_type_lst_))]
# compressor_lst_ = [Compressor.SNAPPY for _ in range(len(data_type_lst_))]
# session.create_multi_time_series(
#     ts_path_lst_, data_type_lst_, encoding_lst_, compressor_lst_
# )
#
# ts_path_lst_ = [
#     "root.sg_test_01.d_02.s_04",
#     "root.sg_test_01.d_02.s_05",
#     "root.sg_test_01.d_02.s_06",
#     "root.sg_test_01.d_02.s_07",
#     "root.sg_test_01.d_02.s_08",
#     "root.sg_test_01.d_02.s_09",
# ]
# data_type_lst_ = [
#     TSDataType.FLOAT,
#     TSDataType.DOUBLE,
#     TSDataType.TEXT,
#     TSDataType.FLOAT,
#     TSDataType.DOUBLE,
#     TSDataType.TEXT,
# ]
# encoding_lst_ = [TSEncoding.PLAIN for _ in range(len(data_type_lst_))]
# compressor_lst_ = [Compressor.SNAPPY for _ in range(len(data_type_lst_))]
# tags_lst_ = [{"tag2": "v2"} for _ in range(len(data_type_lst_))]
# attributes_lst_ = [{"description": "v2"} for _ in range(len(data_type_lst_))]
# session.create_multi_time_series(
#     ts_path_lst_,
#     data_type_lst_,
#     encoding_lst_,
#     compressor_lst_,
#     None,
#     tags_lst_,
#     attributes_lst_,
#     None,
# )
#
# # delete time series
# session.delete_time_series(
#     [
#         "root.sg_test_01.d_01.s_07",
#         "root.sg_test_01.d_01.s_08",
#         "root.sg_test_01.d_01.s_09",
#     ]
# )
#
# # checking time series
# print(
#     "s_07 expecting False, checking result: ",
#     session.check_time_series_exists("root.sg_test_01.d_01.s_07"),
# )
# print(
#     "s_03 expecting True, checking result: ",
#     session.check_time_series_exists("root.sg_test_01.d_01.s_03"),
# )
# print(
#     "d_02.s_01 expecting True, checking result: ",
#     session.check_time_series_exists("root.sg_test_01.d_02.s_01"),
# )
# print(
#     "d_02.s_06 expecting True, checking result: ",
#     session.check_time_series_exists("root.sg_test_01.d_02.s_06"),
# )
#
# # insert one record into the database.
# measurements_ = ["s_01", "s_02", "s_03", "s_04", "s_05", "s_06"]
# values_ = [False, 10, 11, 1.1, 10011.1, "test_record"]
# data_types_ = [
#     TSDataType.BOOLEAN,
#     TSDataType.INT32,
#     TSDataType.INT64,
#     TSDataType.FLOAT,
#     TSDataType.DOUBLE,
#     TSDataType.TEXT,
# ]
# session.insert_record("root.sg_test_01.d_01", 1, measurements_, data_types_, values_)
#
# # insert multiple records into database
# measurements_list_ = [
#     ["s_01", "s_02", "s_03", "s_04", "s_05", "s_06"],
#     ["s_01", "s_02", "s_03", "s_04", "s_05", "s_06"],
# ]
# values_list_ = [
#     [False, 22, 33, 4.4, 55.1, "test_records01"],
#     [True, 77, 88, 1.25, 8.125, "test_records02"],
# ]
# data_type_list_ = [data_types_, data_types_]
# device_ids_ = ["root.sg_test_01.d_01", "root.sg_test_01.d_01"]
# session.insert_records(
#     device_ids_, [2, 3], measurements_list_, data_type_list_, values_list_
# )
#
# # insert one tablet into the database.
# values_ = [
#     [False, 10, 11, 1.1, 10011.1, "test01"],
#     [True, 100, 11111, 1.25, 101.0, "test02"],
#     [False, 100, 1, 188.1, 688.25, "test03"],
#     [True, 0, 0, 0, 6.25, "test04"],
# ]  # Non-ASCII text will cause error since bytes can only hold 0-128 nums.
# timestamps_ = [4, 5, 6, 7]
# tablet_ = Tablet(
#     "root.sg_test_01.d_01", measurements_, data_types_, values_, timestamps_
# )
# session.insert_tablet(tablet_)
#
# # insert one numpy tablet into the database.
# np_values_ = [
#     np.array([False, True, False, True], TSDataType.BOOLEAN.np_dtype()),
#     np.array([10, 100, 100, 0], TSDataType.INT32.np_dtype()),
#     np.array([11, 11111, 1, 0], TSDataType.INT64.np_dtype()),
#     np.array([1.1, 1.25, 188.1, 0], TSDataType.FLOAT.np_dtype()),
#     np.array([10011.1, 101.0, 688.25, 6.25], TSDataType.DOUBLE.np_dtype()),
#     np.array(["test01", "test02", "test03", "test04"], TSDataType.TEXT.np_dtype()),
# ]
# np_timestamps_ = np.array([1, 2, 3, 4], TSDataType.INT64.np_dtype())
# np_tablet_ = NumpyTablet(
#     "root.sg_test_01.d_02", measurements_, data_types_, np_values_, np_timestamps_
# )
# session.insert_tablet(np_tablet_)
#
# # insert one unsorted numpy tablet into the database.
# np_values_unsorted = [
#     np.array([False, False, False, True, True], np.dtype(">?")),
#     np.array([0, 10, 100, 1000, 10000], np.dtype(">i4")),
#     np.array([1, 11, 111, 1111, 11111], np.dtype(">i8")),
#     np.array([1.1, 1.25, 188.1, 0, 8.999], np.dtype(">f4")),
#     np.array([10011.1, 101.0, 688.25, 6.25, 8, 776], np.dtype(">f8")),
#     np.array(["test09", "test08", "test07", "test06", "test05"]),
# ]
# np_timestamps_unsorted = np.array([9, 8, 7, 6, 5], np.dtype(">i8"))
# np_tablet_unsorted = NumpyTablet(
#     "root.sg_test_01.d_02",
#     measurements_,
#     data_types_,
#     np_values_unsorted,
#     np_timestamps_unsorted,
# )
# session.insert_tablet(np_tablet_unsorted)
# print(np_tablet_unsorted.get_timestamps())
# for value in np_tablet_unsorted.get_values():
#     print(value)
#
# # insert multiple tablets into database
# tablet_01 = Tablet(
#     "root.sg_test_01.d_01", measurements_, data_types_, values_, [8, 9, 10, 11]
# )
# tablet_02 = Tablet(
#     "root.sg_test_01.d_01", measurements_, data_types_, values_, [12, 13, 14, 15]
# )
# session.insert_tablets([tablet_01, tablet_02])
#
# # insert one tablet with empty cells into the database.
# values_ = [
#     [None, 10, 11, 1.1, 10011.1, "test01"],
#     [True, None, 11111, 1.25, 101.0, "test02"],
#     [False, 100, 1, None, 688.25, "test03"],
#     [True, 0, 0, 0, 6.25, None],
# ]  # Non-ASCII text will cause error since bytes can only hold 0-128 nums.
# timestamps_ = [16, 17, 18, 19]
# tablet_ = Tablet(
#     "root.sg_test_01.d_01", measurements_, data_types_, values_, timestamps_
# )
# session.insert_tablet(tablet_)
#
# # insert records of one device
# time_list = [1, 2, 3]
# measurements_list = [
#     ["s_01", "s_02", "s_03"],
#     ["s_01", "s_02", "s_03"],
#     ["s_01", "s_02", "s_03"],
# ]
# data_types_list = [
#     [TSDataType.BOOLEAN, TSDataType.INT32, TSDataType.INT64],
#     [TSDataType.BOOLEAN, TSDataType.INT32, TSDataType.INT64],
#     [TSDataType.BOOLEAN, TSDataType.INT32, TSDataType.INT64],
# ]
# values_list = [[False, 22, 33], [True, 1, 23], [False, 15, 26]]
#
# session.insert_records_of_one_device(
#     "root.sg_test_01.d_01", time_list, measurements_list, data_types_list, values_list
# )
#
# # execute non-query sql statement
# session.execute_non_query_statement(
#     "insert into root.sg_test_01.d_01(timestamp, s_02) values(16, 188)"
# )
#
# # execute sql query statement
# with session.execute_query_statement(
#     "select * from root.sg_test_01.d_01"
# ) as session_data_set:
#     session_data_set.set_fetch_size(1024)
#     while session_data_set.has_next():
#         print(session_data_set.next())
# # execute sql query statement
# with session.execute_query_statement(
#     "select s_01, s_02, s_03, s_04, s_05, s_06 from root.sg_test_01.d_02"
# ) as session_data_set:
#     session_data_set.set_fetch_size(1024)
#     while session_data_set.has_next():
#         print(session_data_set.next())
#
# # execute statement
# with session.execute_statement(
#     "select * from root.sg_test_01.d_01"
# ) as session_data_set:
#     while session_data_set.has_next():
#         print(session_data_set.next())
#
# session.execute_statement(
#     "insert into root.sg_test_01.d_01(timestamp, s_02) values(16, 188)"
# )
#
# # insert string records of one device
# time_list = [1, 2, 3]
# measurements_list = [
#     ["s_01", "s_02", "s_03"],
#     ["s_01", "s_02", "s_03"],
#     ["s_01", "s_02", "s_03"],
# ]
# values_list = [["False", "22", "33"], ["True", "1", "23"], ["False", "15", "26"]]
#
# session.insert_string_records_of_one_device(
#     "root.sg_test_01.d_03",
#     time_list,
#     measurements_list,
#     values_list,
# )
#
# with session.execute_raw_data_query(
#     ["root.sg_test_01.d_03.s_01", "root.sg_test_01.d_03.s_02"], 1, 4
# ) as session_data_set:
#     session_data_set.set_fetch_size(1024)
#     while session_data_set.has_next():
#         print(session_data_set.next())
#
# with session.execute_last_data_query(
#     ["root.sg_test_01.d_03.s_01", "root.sg_test_01.d_03.s_02"], 0
# ) as session_data_set:
#     session_data_set.set_fetch_size(1024)
#     while session_data_set.has_next():
#         print(session_data_set.next())
#
# # delete database
# session.delete_storage_group("root.sg_test_01")
#
# # create measurement node template
# template = Template(name="template_python", share_time=False)
# m_node_1 = MeasurementNode(
#     name="s1",
#     data_type=TSDataType.INT64,
#     encoding=TSEncoding.RLE,
#     compression_type=Compressor.SNAPPY,
# )
# m_node_2 = MeasurementNode(
#     name="s2",
#     data_type=TSDataType.INT64,
#     encoding=TSEncoding.RLE,
#     compression_type=Compressor.SNAPPY,
# )
# m_node_3 = MeasurementNode(
#     name="s3",
#     data_type=TSDataType.INT64,
#     encoding=TSEncoding.RLE,
#     compression_type=Compressor.SNAPPY,
# )
# template.add_template(m_node_1)
# template.add_template(m_node_2)
# template.add_template(m_node_3)
# session.create_schema_template(template)
# print("create template success template_python")
#
# # create internal node template
# template_name = "treeTemplate_python"
# template = Template(name=template_name, share_time=True)
# i_node_gps = InternalNode(name="GPS", share_time=False)
# i_node_v = InternalNode(name="vehicle", share_time=True)
# m_node_x = MeasurementNode("x", TSDataType.FLOAT, TSEncoding.RLE, Compressor.SNAPPY)
#
# i_node_gps.add_child(m_node_x)
# i_node_v.add_child(m_node_x)
# template.add_template(i_node_gps)
# template.add_template(i_node_v)
# template.add_template(m_node_x)
#
# session.create_schema_template(template)
# print("create template success treeTemplate_python}")
#
# print(session.is_measurement_in_template(template_name, "GPS"))
# print(session.is_measurement_in_template(template_name, "GPS.x"))
# print(session.show_all_templates())
#
# # # append schema template
# data_types = [TSDataType.FLOAT, TSDataType.FLOAT, TSDataType.DOUBLE]
# encoding_list = [TSEncoding.RLE, TSEncoding.RLE, TSEncoding.GORILLA]
# compressor_list = [Compressor.SNAPPY, Compressor.SNAPPY, Compressor.LZ4]
#
# measurements_aligned_path = ["aligned.s1", "aligned.s2", "aligned.s3"]
# session.add_measurements_in_template(
#     template_name,
#     measurements_aligned_path,
#     data_types,
#     encoding_list,
#     compressor_list,
#     is_aligned=True,
# )
# # session.drop_schema_template("add_template_python")
# measurements_aligned_path = ["unaligned.s1", "unaligned.s2", "unaligned.s3"]
# session.add_measurements_in_template(
#     template_name,
#     measurements_aligned_path,
#     data_types,
#     encoding_list,
#     compressor_list,
#     is_aligned=False,
# )
# session.delete_node_in_template(template_name, "aligned.s1")
# print(session.count_measurements_in_template(template_name))
# print(session.is_path_exist_in_template(template_name, "aligned.s1"))
# print(session.is_path_exist_in_template(template_name, "aligned.s2"))
#
# session.set_schema_template(template_name, "root.python.set")
# print(session.show_paths_template_using_on(template_name))
# print(session.show_paths_template_set_on(template_name))
# session.unset_schema_template(template_name, "root.python.set")
#
# # drop template
# session.drop_schema_template("template_python")
# session.drop_schema_template(template_name)
# print("drop template success, template_python and treeTemplate_python")

# close session connection.
session.close()

print("All executions done!!")