# Copyright 2019 Huawei Technologies Co., Ltd
#
# Licensed 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.
# ============================================================================
"""test internal shard api"""
import os
import random
from mindspore.mindrecord import ShardHeader, SUCCESS
from mindspore.mindrecord import ShardWriter, ShardIndexGenerator, ShardReader, ShardSegment
from mindspore import log as logger
from utils import get_data, get_nlp_data, get_mkv_data

FILES_NUM = 4
CV_FILE_NAME = "./imagenet.mindrecord"
NLP_FILE_NAME = "./aclImdb.mindrecord"
MKV_FILE_NAME = "./vehPer.mindrecord"

def test_nlp_file_writer():
    """test nlp file writer using shard api"""
    schema_json = {"id": {"type": "string"}, "label": {"type": "number"},
                   "rating": {"type": "number"},
                   "input_ids": {"type": "array",
                                 "items": {"type": "number"}},
                   "input_mask": {"type": "array",
                                  "items": {"type": "number"}},
                   "segment_ids": {"type": "array",
                                   "items": {"type": "number"}}
                   }
    data = list(get_nlp_data("../data/mindrecord/testAclImdbData/pos",
                             "../data/mindrecord/testAclImdbData/vocab.txt",
                             10))
    header = ShardHeader()
    schema = header.build_schema(schema_json, ["segment_ids"], "nlp_schema")
    schema_id = header.add_schema(schema)
    assert schema_id == 0, 'failed on adding schema'
    index_fields_list = ["id", "rating"]
    ret = header.add_index_fields(index_fields_list)
    assert ret == SUCCESS, 'failed on adding index fields.'
    writer = ShardWriter()
    paths = ["{}{}".format(NLP_FILE_NAME, x) for x in range(FILES_NUM)]
    ret = writer.open(paths)
    assert ret == SUCCESS, 'failed on opening files.'
    writer.set_header_size(1 << 14)
    writer.set_page_size(1 << 15)
    ret = writer.set_shard_header(header)
    assert ret == SUCCESS, 'failed on setting header.'
    ret = writer.write_raw_nlp_data({schema_id: data})
    assert ret == SUCCESS, 'failed on writing raw data.'
    ret = writer.commit()
    assert ret == SUCCESS, 'failed on committing.'
    generator = ShardIndexGenerator(os.path.realpath(paths[0]))
    generator.build()
    generator.write_to_db()

def test_nlp_file_reader():
    """test nlp file reader using shard api"""
    dataset = ShardReader()
    dataset.open(NLP_FILE_NAME + "0")
    dataset.launch()
    index = 0
    iterator = dataset.get_next()
    while iterator:
        for _, raw in iterator:
            logger.info("#item{}: {}".format(index, raw))
            index += 1
            iterator = dataset.get_next()
    dataset.finish()
    dataset.close()

def test_nlp_page_reader():
    """test nlp page reader using shard api"""
    reader = ShardSegment()
    reader.open(NLP_FILE_NAME + "0")

    fields = reader.get_category_fields()
    logger.info("fields: {}".format(fields))

    ret = reader.set_category_field("rating")
    assert ret == SUCCESS, 'failed on setting category field.'

    info = reader.read_category_info()
    logger.info("category info: {}".format(info))

    img1 = reader.read_at_page_by_id(0, 0, 1)
    logger.info("img1 len: {}, img1[0] len: {}, img1[0]: {}".format(len(img1), len(img1[0]), img1[0]))

    img2 = reader.read_at_page_by_name("7", 0, 1)
    logger.info("img2 len: {}, img2[0] len: {}, img2[0]: {}".format(len(img2), len(img2[0]), img2[0]))

    paths = ["{}{}".format(NLP_FILE_NAME, str(x).rjust(1, '0'))
             for x in range(FILES_NUM)]
    for x in paths:
        os.remove("{}".format(x))
        os.remove("{}.db".format(x))

def test_cv_file_writer():
    """test cv file reader using shard api"""
    img_schema_json = {"file_name": {"type": "string"},
                       "label": {"type": "number"}}
    data = get_data("../data/mindrecord/testImageNetData/")

    header = ShardHeader()
    img_schema = header.build_schema(img_schema_json, ["data"], "img_schema")
    schema_id = header.add_schema(img_schema)
    assert schema_id == 0, 'failed on building schema.'
    index_fields_list = ["file_name", "label"]
    ret = header.add_index_fields(index_fields_list)
    assert ret == SUCCESS, 'failed on adding index fields.'

    writer = ShardWriter()
    paths = ["{}{}".format(CV_FILE_NAME, x) for x in range(FILES_NUM)]
    ret = writer.open(paths)
    assert ret == SUCCESS, 'failed on opening files.'
    writer.set_header_size(1 << 24)
    writer.set_page_size(1 << 25)
    ret = writer.set_shard_header(header)
    assert ret == SUCCESS, 'failed on setting header.'
    ret = writer.write_raw_cv_data({schema_id: data})
    assert ret == SUCCESS, 'failed on writing raw data.'
    ret = writer.commit()
    assert ret == SUCCESS, 'failed on committing.'
    # ShardIndexGenerator
    generator = ShardIndexGenerator(os.path.abspath(paths[0]))
    generator.build()
    generator.write_to_db()

def test_cv_file_reader():
    """test cv file reader using shard api"""
    dataset = ShardReader()
    dataset.open(CV_FILE_NAME + "0")
    dataset.launch()
    index = 0
    _, blob_fields = dataset.get_blob_fields()
    iterator = dataset.get_next()
    while iterator:
        for blob, raw in iterator:
            raw[blob_fields[0]] = bytes(blob)
            logger.info("#item{}: {}".format(index, raw))
            index += 1
            iterator = dataset.get_next()
    dataset.finish()
    dataset.close()

def test_cv_page_reader():
    """test cv page reader using shard api"""
    reader = ShardSegment()
    reader.open(CV_FILE_NAME + "0")
    fields = reader.get_category_fields()
    logger.info("fields: {}".format(fields))

    ret = reader.set_category_field("label")
    assert ret == SUCCESS, 'failed on setting category field.'

    info = reader.read_category_info()
    logger.info("category info: {}".format(info))

    img1 = reader.read_at_page_by_id(0, 0, 1)
    logger.info("img1 len: {}, img1[0] len: {}".format(len(img1), len(img1[0])))

    img2 = reader.read_at_page_by_name("822", 0, 1)
    logger.info("img2 len: {}, img2[0] len: {}".format(len(img2), len(img2[0])))

    paths = ["{}{}".format(CV_FILE_NAME, str(x).rjust(1, '0'))
             for x in range(FILES_NUM)]
    for x in paths:
        os.remove("{}".format(x))
        os.remove("{}.db".format(x))

def test_mkv_file_writer():
    """test mkv file writer  using shard api"""
    data = get_mkv_data("../data/mindrecord/testVehPerData/")
    schema_json = {"file_name": {"type": "string"}, "id": {"type": "number"},
                   "prelabel": {"type": "string"}}
    header = ShardHeader()
    img_schema = header.build_schema(schema_json, ["data"], "img_schema")
    schema_id = header.add_schema(img_schema)
    assert schema_id == 0, 'failed on building schema.'
    index_fields_list = ["id", "file_name"]
    ret = header.add_index_fields(index_fields_list)
    assert ret == SUCCESS, 'failed on adding index fields.'

    writer = ShardWriter()
    paths = ["{}{}".format(MKV_FILE_NAME, x) for x in range(FILES_NUM)]
    ret = writer.open(paths)
    assert ret == SUCCESS, 'failed on opening files.'
    writer.set_header_size(1 << 24)
    writer.set_page_size(1 << 25)
    ret = writer.set_shard_header(header)
    assert ret == SUCCESS, 'failed on setting header.'
    ret = writer.write_raw_cv_data({schema_id: data})
    assert ret == SUCCESS, 'failed on writing raw data.'
    ret = writer.commit()
    assert ret == SUCCESS, 'failed on committing.'

    generator = ShardIndexGenerator(os.path.realpath(paths[0]))
    generator.build()
    generator.write_to_db()

def test_mkv_page_reader():
    """test mkv page reader using shard api"""
    reader = ShardSegment()
    reader.open(MKV_FILE_NAME + "0")

    fields = reader.get_category_fields()
    logger.info("fields: {}".format(fields))

    ret = reader.set_category_field("id")
    assert ret == SUCCESS, 'failed on setting category field.'

    info = reader.read_category_info()
    logger.info("category info: {}".format(info))

    img1 = reader.read_at_page_by_id(0, 0, 1)
    logger.info("img1 len: {}, img1[0] len: {}, img1[0]: {}".format(len(img1), len(img1[0]), img1[0]))

    img2 = reader.read_at_page_by_name("2", 0, 1)
    logger.info("img2 len: {}, img2[0] len: {}, img2[0]: {}".format(len(img2), len(img2[0]), img2[0]))

def test_mkv_page_reader_random():
    """test mkv page random reader using shard api"""
    reader = ShardSegment()
    reader.open(MKV_FILE_NAME + "0")

    fields = reader.get_category_fields()
    logger.info("fields: {}".format(fields))

    ret = reader.set_category_field("id")
    assert ret == SUCCESS, 'failed on setting category field.'

    names = random.sample(range(1, 6), 5)
    for name in names:
        img2 = reader.read_at_page_by_name(str(name), 0, 2)
        logger.info("name: {}, img2[0] len: {}".format(str(name), len(img2[0])))

    paths = ["{}{}".format(MKV_FILE_NAME, str(x).rjust(1, '0'))
             for x in range(FILES_NUM)]
    for x in paths:
        os.remove("{}".format(x))
        os.remove("{}.db".format(x))

def test_mkv_file_writer_with_exactly_schema():
    """test mkv file writer using shard api"""
    header = ShardHeader()
    img_schema_json = {"annotation_name": {"type": "array",
                                           "items": {"type": "string"}},
                       "annotation_pose": {"type": "array",
                                           "items": {"type": "string"}},
                       "annotation_truncated": {"type": "array",
                                                "items": {"type": "string"}},
                       "annotation_difficult": {"type": "array",
                                                "items": {"type": "string"}},
                       "annotation_xmin": {"type": "array",
                                           "items": {"type": "number"}},
                       "annotation_ymin": {"type": "array",
                                           "items": {"type": "number"}},
                       "annotation_xmax": {"type": "array",
                                           "items": {"type": "number"}},
                       "annotation_ymax": {"type": "array",
                                           "items": {"type": "number"}},
                       "metadata_width": {"type": "number"},
                       "metadata_height": {"type": "number"},
                       "metadata_depth": {"type": "number"},
                       "img_path": {"type": "string"},
                       "annotation_path": {"type": "string"}}
    img_schema = header.build_schema(img_schema_json, ["data"], "image_schema")
    schema_id = header.add_schema(img_schema)
    assert schema_id == 0, 'failed on building schema.'

    writer = ShardWriter()
    paths = ["{}{}".format(MKV_FILE_NAME, x) for x in range(1)]
    ret = writer.open(paths)
    assert ret == SUCCESS, 'failed on opening files.'
    writer.set_header_size(1 << 24)
    writer.set_page_size(1 << 25)

    image_bytes = bytes("it's a image picutre", encoding="utf8")
    data = []
    data.append({"annotation_name": ["xxxxxxxxxx.jpg"],
                 "annotation_pose": ["hahahahah"],
                 "annotation_truncated": ["1"], "annotation_difficult": ["0"],
                 "annotation_xmin": [100], "annotation_ymin": [200],
                 "annotation_xmax": [300], "annotation_ymax": [400],
                 "metadata_width": 333, "metadata_height": 222,
                 "metadata_depth": 3,
                 "img_path": "/tmp/", "annotation_path": "/tmp/annotation",
                 "data": image_bytes})
    data.append({"annotation_name": ["xxxxxxxxxx.jpg"],
                 "annotation_pose": ["hahahahah"],
                 "annotation_truncated": ["1"], "annotation_difficult": ["0"],
                 "annotation_xmin": [100], "annotation_ymin": [200],
                 "annotation_xmax": [300], "annotation_ymax": [400],
                 "metadata_width": 333, "metadata_height": 222,
                 "metadata_depth": 3,
                 "img_path": "/tmp/", "annotation_path": "/tmp/annotation",
                 "data": image_bytes})
    ret = writer.set_shard_header(header)
    assert ret == SUCCESS, 'failed on setting header.'
    ret = writer.write_raw_cv_data({schema_id: data})
    assert ret == SUCCESS, 'failed on writing raw data.'
    ret = writer.commit()
    assert ret == SUCCESS, 'failed on committing.'

    generator = ShardIndexGenerator(os.path.realpath(paths[0]))
    generator.build()
    generator.write_to_db()

def test_mkv_file_reader_with_exactly_schema():
    """test mkv file reader using shard api"""
    dataset = ShardReader()
    dataset.open(MKV_FILE_NAME + "0")
    dataset.launch()
    index = 0
    _, blob_fields = dataset.get_blob_fields()
    iterator = dataset.get_next()
    while iterator:
        for blob, raw in iterator:
            raw[blob_fields[0]] = bytes(blob)
            logger.info("#item{}: {}".format(index, raw))
            index += 1
            iterator = dataset.get_next()
    dataset.finish()
    dataset.close()

    paths = ["{}{}".format(MKV_FILE_NAME, str(x).rjust(1, '0'))
             for x in range(1)]
    for x in paths:
        os.remove("{}".format(x))
        os.remove("{}.db".format(x))

# Copyright 2019 Huawei Technologies Co., Ltd
#
# Licensed 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.
# ============================================================================
"""test internal shard api"""
import os
import random
from mindspore.mindrecord import ShardHeader, SUCCESS
from mindspore.mindrecord import ShardWriter, ShardIndexGenerator, ShardReader, ShardSegment
from mindspore import log as logger
from utils import get_data, get_nlp_data, get_mkv_data

FILES_NUM = 4
CV_FILE_NAME = "./imagenet.mindrecord"
NLP_FILE_NAME = "./aclImdb.mindrecord"
MKV_FILE_NAME = "./vehPer.mindrecord"

def test_nlp_file_writer():
    """test nlp file writer using shard api"""
    schema_json = {"id": {"type": "string"}, "label": {"type": "number"},
                   "rating": {"type": "number"},
                   "input_ids": {"type": "array",
                                 "items": {"type": "number"}},
                   "input_mask": {"type": "array",
                                  "items": {"type": "number"}},
                   "segment_ids": {"type": "array",
                                   "items": {"type": "number"}}
                   }
    data = list(get_nlp_data("../data/mindrecord/testAclImdbData/pos",
                             "../data/mindrecord/testAclImdbData/vocab.txt",
                             10))
    header = ShardHeader()
    schema = header.build_schema(schema_json, ["segment_ids"], "nlp_schema")
    schema_id = header.add_schema(schema)
    assert schema_id == 0, 'failed on adding schema'
    index_fields_list = ["id", "rating"]
    ret = header.add_index_fields(index_fields_list)
    assert ret == SUCCESS, 'failed on adding index fields.'
    writer = ShardWriter()
    paths = ["{}{}".format(NLP_FILE_NAME, x) for x in range(FILES_NUM)]
    ret = writer.open(paths)
    assert ret == SUCCESS, 'failed on opening files.'
    writer.set_header_size(1 << 14)
    writer.set_page_size(1 << 15)
    ret = writer.set_shard_header(header)
    assert ret == SUCCESS, 'failed on setting header.'
    ret = writer.write_raw_nlp_data({schema_id: data})
    assert ret == SUCCESS, 'failed on writing raw data.'
    ret = writer.commit()
    assert ret == SUCCESS, 'failed on committing.'
    generator = ShardIndexGenerator(os.path.realpath(paths[0]))
    generator.build()
    generator.write_to_db()

def test_nlp_file_reader():
    """test nlp file reader using shard api"""
    dataset = ShardReader()
    dataset.open(NLP_FILE_NAME + "0")
    dataset.launch()
    index = 0
    iterator = dataset.get_next()
    while iterator:
        for _, raw in iterator:
            logger.info("#item{}: {}".format(index, raw))
            index += 1
            iterator = dataset.get_next()
    dataset.finish()
    dataset.close()

def test_nlp_page_reader():
    """test nlp page reader using shard api"""
    reader = ShardSegment()
    reader.open(NLP_FILE_NAME + "0")

    fields = reader.get_category_fields()
    logger.info("fields: {}".format(fields))

    ret = reader.set_category_field("rating")
    assert ret == SUCCESS, 'failed on setting category field.'

    info = reader.read_category_info()
    logger.info("category info: {}".format(info))

    img1 = reader.read_at_page_by_id(0, 0, 1)
    logger.info("img1 len: {}, img1[0] len: {}, img1[0]: {}".format(len(img1), len(img1[0]), img1[0]))

    img2 = reader.read_at_page_by_name("7", 0, 1)
    logger.info("img2 len: {}, img2[0] len: {}, img2[0]: {}".format(len(img2), len(img2[0]), img2[0]))

    paths = ["{}{}".format(NLP_FILE_NAME, str(x).rjust(1, '0'))
             for x in range(FILES_NUM)]
    for x in paths:
        os.remove("{}".format(x))
        os.remove("{}.db".format(x))

def test_cv_file_writer():
    """test cv file reader using shard api"""
    img_schema_json = {"file_name": {"type": "string"},
                       "label": {"type": "number"}}
    data = get_data("../data/mindrecord/testImageNetData/")

    header = ShardHeader()
    img_schema = header.build_schema(img_schema_json, ["data"], "img_schema")
    schema_id = header.add_schema(img_schema)
    assert schema_id == 0, 'failed on building schema.'
    index_fields_list = ["file_name", "label"]
    ret = header.add_index_fields(index_fields_list)
    assert ret == SUCCESS, 'failed on adding index fields.'

    writer = ShardWriter()
    paths = ["{}{}".format(CV_FILE_NAME, x) for x in range(FILES_NUM)]
    ret = writer.open(paths)
    assert ret == SUCCESS, 'failed on opening files.'
    writer.set_header_size(1 << 24)
    writer.set_page_size(1 << 25)
    ret = writer.set_shard_header(header)
    assert ret == SUCCESS, 'failed on setting header.'
    ret = writer.write_raw_cv_data({schema_id: data})
    assert ret == SUCCESS, 'failed on writing raw data.'
    ret = writer.commit()
    assert ret == SUCCESS, 'failed on committing.'
    # ShardIndexGenerator
    generator = ShardIndexGenerator(os.path.abspath(paths[0]))
    generator.build()
    generator.write_to_db()

def test_cv_file_reader():
    """test cv file reader using shard api"""
    dataset = ShardReader()
    dataset.open(CV_FILE_NAME + "0")
    dataset.launch()
    index = 0
    _, blob_fields = dataset.get_blob_fields()
    iterator = dataset.get_next()
    while iterator:
        for blob, raw in iterator:
            raw[blob_fields[0]] = bytes(blob)
            logger.info("#item{}: {}".format(index, raw))
            index += 1
            iterator = dataset.get_next()
    dataset.finish()
    dataset.close()

def test_cv_page_reader():
    """test cv page reader using shard api"""
    reader = ShardSegment()
    reader.open(CV_FILE_NAME + "0")
    fields = reader.get_category_fields()
    logger.info("fields: {}".format(fields))

    ret = reader.set_category_field("label")
    assert ret == SUCCESS, 'failed on setting category field.'

    info = reader.read_category_info()
    logger.info("category info: {}".format(info))

    img1 = reader.read_at_page_by_id(0, 0, 1)
    logger.info("img1 len: {}, img1[0] len: {}".format(len(img1), len(img1[0])))

    img2 = reader.read_at_page_by_name("822", 0, 1)
    logger.info("img2 len: {}, img2[0] len: {}".format(len(img2), len(img2[0])))

    paths = ["{}{}".format(CV_FILE_NAME, str(x).rjust(1, '0'))
             for x in range(FILES_NUM)]
    for x in paths:
        os.remove("{}".format(x))
        os.remove("{}.db".format(x))

def test_mkv_file_writer():
    """test mkv file writer  using shard api"""
    data = get_mkv_data("../data/mindrecord/testVehPerData/")
    schema_json = {"file_name": {"type": "string"}, "id": {"type": "number"},
                   "prelabel": {"type": "string"}}
    header = ShardHeader()
    img_schema = header.build_schema(schema_json, ["data"], "img_schema")
    schema_id = header.add_schema(img_schema)
    assert schema_id == 0, 'failed on building schema.'
    index_fields_list = ["id", "file_name"]
    ret = header.add_index_fields(index_fields_list)
    assert ret == SUCCESS, 'failed on adding index fields.'

    writer = ShardWriter()
    paths = ["{}{}".format(MKV_FILE_NAME, x) for x in range(FILES_NUM)]
    ret = writer.open(paths)
    assert ret == SUCCESS, 'failed on opening files.'
    writer.set_header_size(1 << 24)
    writer.set_page_size(1 << 25)
    ret = writer.set_shard_header(header)
    assert ret == SUCCESS, 'failed on setting header.'
    ret = writer.write_raw_cv_data({schema_id: data})
    assert ret == SUCCESS, 'failed on writing raw data.'
    ret = writer.commit()
    assert ret == SUCCESS, 'failed on committing.'

    generator = ShardIndexGenerator(os.path.realpath(paths[0]))
    generator.build()
    generator.write_to_db()

def test_mkv_page_reader():
    """test mkv page reader using shard api"""
    reader = ShardSegment()
    reader.open(MKV_FILE_NAME + "0")

    fields = reader.get_category_fields()
    logger.info("fields: {}".format(fields))

    ret = reader.set_category_field("id")
    assert ret == SUCCESS, 'failed on setting category field.'

    info = reader.read_category_info()
    logger.info("category info: {}".format(info))

    img1 = reader.read_at_page_by_id(0, 0, 1)
    logger.info("img1 len: {}, img1[0] len: {}, img1[0]: {}".format(len(img1), len(img1[0]), img1[0]))

    img2 = reader.read_at_page_by_name("2", 0, 1)
    logger.info("img2 len: {}, img2[0] len: {}, img2[0]: {}".format(len(img2), len(img2[0]), img2[0]))

def test_mkv_page_reader_random():
    """test mkv page random reader using shard api"""
    reader = ShardSegment()
    reader.open(MKV_FILE_NAME + "0")

    fields = reader.get_category_fields()
    logger.info("fields: {}".format(fields))

    ret = reader.set_category_field("id")
    assert ret == SUCCESS, 'failed on setting category field.'

    names = random.sample(range(1, 6), 5)
    for name in names:
        img2 = reader.read_at_page_by_name(str(name), 0, 2)
        logger.info("name: {}, img2[0] len: {}".format(str(name), len(img2[0])))

    paths = ["{}{}".format(MKV_FILE_NAME, str(x).rjust(1, '0'))
             for x in range(FILES_NUM)]
    for x in paths:
        os.remove("{}".format(x))
        os.remove("{}.db".format(x))

def test_mkv_file_writer_with_exactly_schema():
    """test mkv file writer using shard api"""
    header = ShardHeader()
    img_schema_json = {"annotation_name": {"type": "array",
                                           "items": {"type": "string"}},
                       "annotation_pose": {"type": "array",
                                           "items": {"type": "string"}},
                       "annotation_truncated": {"type": "array",
                                                "items": {"type": "string"}},
                       "annotation_difficult": {"type": "array",
                                                "items": {"type": "string"}},
                       "annotation_xmin": {"type": "array",
                                           "items": {"type": "number"}},
                       "annotation_ymin": {"type": "array",
                                           "items": {"type": "number"}},
                       "annotation_xmax": {"type": "array",
                                           "items": {"type": "number"}},
                       "annotation_ymax": {"type": "array",
                                           "items": {"type": "number"}},
                       "metadata_width": {"type": "number"},
                       "metadata_height": {"type": "number"},
                       "metadata_depth": {"type": "number"},
                       "img_path": {"type": "string"},
                       "annotation_path": {"type": "string"}}
    img_schema = header.build_schema(img_schema_json, ["data"], "image_schema")
    schema_id = header.add_schema(img_schema)
    assert schema_id == 0, 'failed on building schema.'

    writer = ShardWriter()
    paths = ["{}{}".format(MKV_FILE_NAME, x) for x in range(1)]
    ret = writer.open(paths)
    assert ret == SUCCESS, 'failed on opening files.'
    writer.set_header_size(1 << 24)
    writer.set_page_size(1 << 25)

    image_bytes = bytes("it's a image picutre", encoding="utf8")
    data = []
    data.append({"annotation_name": ["xxxxxxxxxx.jpg"],
                 "annotation_pose": ["hahahahah"],
                 "annotation_truncated": ["1"], "annotation_difficult": ["0"],
                 "annotation_xmin": [100], "annotation_ymin": [200],
                 "annotation_xmax": [300], "annotation_ymax": [400],
                 "metadata_width": 333, "metadata_height": 222,
                 "metadata_depth": 3,
                 "img_path": "/tmp/", "annotation_path": "/tmp/annotation",
                 "data": image_bytes})
    data.append({"annotation_name": ["xxxxxxxxxx.jpg"],
                 "annotation_pose": ["hahahahah"],
                 "annotation_truncated": ["1"], "annotation_difficult": ["0"],
                 "annotation_xmin": [100], "annotation_ymin": [200],
                 "annotation_xmax": [300], "annotation_ymax": [400],
                 "metadata_width": 333, "metadata_height": 222,
                 "metadata_depth": 3,
                 "img_path": "/tmp/", "annotation_path": "/tmp/annotation",
                 "data": image_bytes})
    ret = writer.set_shard_header(header)
    assert ret == SUCCESS, 'failed on setting header.'
    ret = writer.write_raw_cv_data({schema_id: data})
    assert ret == SUCCESS, 'failed on writing raw data.'
    ret = writer.commit()
    assert ret == SUCCESS, 'failed on committing.'

    generator = ShardIndexGenerator(os.path.realpath(paths[0]))
    generator.build()
    generator.write_to_db()

def test_mkv_file_reader_with_exactly_schema():
    """test mkv file reader using shard api"""
    dataset = ShardReader()
    dataset.open(MKV_FILE_NAME + "0")
    dataset.launch()
    index = 0
    _, blob_fields = dataset.get_blob_fields()
    iterator = dataset.get_next()
    while iterator:
        for blob, raw in iterator:
            raw[blob_fields[0]] = bytes(blob)
            logger.info("#item{}: {}".format(index, raw))
            index += 1
            iterator = dataset.get_next()
    dataset.finish()
    dataset.close()

    paths = ["{}{}".format(MKV_FILE_NAME, str(x).rjust(1, '0'))
             for x in range(1)]
    for x in paths:
        os.remove("{}".format(x))
        os.remove("{}.db".format(x))

# Copyright 2019 Huawei Technologies Co., Ltd # # Licensed 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. # ============================================================================ test internal shard api test nlp file writer using shard api test nlp file reader using shard api test nlp page reader using shard api test cv file reader using shard api # ShardIndexGenerator test cv file reader using shard api test cv page reader using shard api test mkv file writer  using shard api test mkv page reader using shard api test mkv page random reader using shard api test mkv file writer using shard api test mkv file reader using shard api