def test_add_case_to_classify(self, api_object):
"""新增案件到指定案件分类下"""
# 新增案件分类
level_1_classify_name = create_random_str(8)
res_1 = api_object.add_level_1_case_classify(level_1_classify_name)
level_1_classify_id = res_1.get('data').get('typeId')
# 新增二级案件分类
level_2_classify_name = create_random_str(8)
classify_list = [{
"parentId": level_1_classify_id,
"sign": f"name0-{level_2_classify_name}",
"name": level_2_classify_name
}]
api_object.add_level_2_case_classify(classify_list)
level_2_classify_id = api_object.get_case_classify_id(
level_1_classify_id, level_2_classify_name)
# 新增案件
case_name = create_case_name()
case_id = api_object.add_case(case_name,
case_classify_id=level_2_classify_id)
# 断言案件是否在案件分类下
classify_id = api_object.get_case_belong_classify_id(case_id)
assert level_2_classify_id == classify_id
# 直接删除一级案件分类进行环境还原
api_object.remove_case_classify(level_1_classify_id)
def test_edit_case_classify(self, api_object):
"""测试编辑案件分类"""
# 新建一级案件分类
classify_name = create_random_str(8)
res = api_object.add_level_1_case_classify(classify_name)
classify_id = res.get('data').get('typeId')
# 修改案件分类名称
new_classify_name = create_random_str(8)
api_object.edit_case_classify(classify_id, new_classify_name)
# 断言是否修改成功
find_result = api_object.find_case_classify_name_by_id(
classify_id, new_classify_name)
assert find_result
# 环境清理
api_object.remove_case_classify(classify_id)
def test_add_tag(self, api_object):
"""测试添加标记"""
# 从excel读取数据
excel_data = read_excel('test_add_tag')
file_path = excel_data.get('file_path')
begin_time = int(excel_data.get('begin_time'))
end_time = int(excel_data.get('end_time'))
tag_name = excel_data.get('tag_name')
comment = excel_data.get('comment')
# 新建案件
case_name = create_case_name()
case_id = api_object.add_case(case_name)
# 在案件下新建文件夹
folder_name = create_random_str()
folder_id = api_object.add_folder(case_id, folder_name)
# 在文件夹下上传音频
file_id = api_object.upload_file_to_folder(case_id,
file_path,
folder_id=folder_id)
# 给音频文件添加标记
tag_id = api_object.add_tag(begin_time, end_time, case_id, tag_name,
file_id, comment)
# 验证标记是否添加成功
tag_info = api_object.get_tag_info(case_id, file_id, tag_id)
res_tag_name = tag_info.get('voiceTagName')
res_tag_comment = tag_info.get('comment')
res_begin_time = tag_info.get('beginTime')
res_end_time = tag_info.get('endTime')
assert (res_tag_name == tag_name and res_tag_comment == comment
and res_begin_time == begin_time and res_end_time == end_time)
def test_case_allocate_user(self, api_object):
"""分发案件个单个用户"""
# 从excel读取数据
excel_data = read_excel('test_case_allocate_user')
file_path = excel_data.get('file_path')
target_user_group = excel_data.get('target_user_group')
target_username = excel_data.get('target_username')
target_password = excel_data.get('target_password')
# 新建案件
case_name = create_case_name()
case_id = api_object.add_case(case_name)
# 在案件下新建文件夹
folder_name = create_random_str()
folder_id = api_object.add_folder(case_id, folder_name)
# 在文件夹下上传音频
api_object.upload_file_to_folder(case_id,
file_path,
folder_id=folder_id)
# 获取用户id
user_group_id = api_object.get_auth_group_id_by_name(target_user_group)
user_id = api_object.get_user_id_by_name(user_group_id,
target_username)
# 将案件转发给他人
user_ids = list()
user_ids.append(user_id)
api_object.case_allocate(case_id, user_ids)
# 验证用户是否接收到案件
new_operate_api = OperateApi(target_username, target_password)
new_operate_api.get_session_id()
target_case_name = case_name + '_' + target_username
find_result = new_operate_api.find_case_in_case_list(target_case_name)
assert find_result
def test_remove_case_classify(self, api_object):
"""测试删除案件分类"""
# 新建一级案件分类
classify_name = create_random_str(8)
res = api_object.add_level_1_case_classify(classify_name)
classify_id = res.get('data').get('typeId')
# 删除案件分类
api_object.remove_case_classify(classify_id)
# 验证能否找到被删除的案件分类
find_result = api_object.find_case_classify_by_id(classify_id)
assert find_result is False
def test_add_folder(self, api_object):
"""测试新增文件夹"""
# 新建案件
case_name = create_case_name()
case_id = api_object.add_case(case_name)
# 在案件下新建文件夹
folder_name = create_random_str()
folder_id = api_object.add_folder(case_id, folder_name)
# 验证案件下是否存在新增的文件夹
find_result = api_object.find_folder_by_id(case_id, folder_id)
assert find_result
def test_add_level_2_case_classify(self, api_object):
"""测试新增二级案件分类"""
# 先新增一级案件分类
level_1_classify_name = create_random_str(8)
res_1 = api_object.add_level_1_case_classify(level_1_classify_name)
level_1_classify_id = res_1.get('data').get('typeId')
# 新增二级案件分类
level_2_classify_name = create_random_str(8)
classify_list = [{
"parentId": level_1_classify_id,
"sign": f"name0-{level_2_classify_name}",
"name": level_2_classify_name
}]
res_2 = api_object.add_level_2_case_classify(classify_list)
has_error = res_2.get('hasError')
if has_error is False:
find_result = api_object.find_level_2_case_classify(
level_2_classify_name, level_1_classify_id)
assert find_result
# 直接删除一级案件分类进行环境还原
api_object.remove_case_classify(level_1_classify_id)
def test_add_level_1_case_classify(self, api_object):
"""测试新建一级案件分类"""
classify_name = create_random_str(8)
res = api_object.add_level_1_case_classify(classify_name)
has_error = res.get('hasError')
if has_error is False:
classify_id = res.get('data').get('typeId')
find_result = api_object.find_case_classify_by_id(classify_id)
assert find_result
# 环境还原
api_object.remove_case_classify(classify_id)
else:
assert False
def test_upload_picture(self, api_object):
"""上传图片"""
# 从excel读取数据
excel_data = read_excel('test_upload_picture')
file_path = excel_data.get('file_path')
# 新建案件
case_name = create_case_name()
case_id = api_object.add_case(case_name)
# 在案件下新建文件夹
folder_name = create_random_str()
folder_id = api_object.add_folder(case_id, folder_name)
# 在文件夹下上传图片
mime_type = 'application/octet-stream'
file_id = api_object.upload_file_to_folder(case_id, file_path,
mime_type, folder_id)
# 验证文件是否上传成功
find_result = api_object.find_file_by_id(case_id, folder_id, file_id)
assert find_result
def test_upload_voice(self, api_object):
"""上传音频"""
# 从excel读取数据
excel_data = read_excel('test_upload_voice')
file_path = excel_data.get('file_path')
# 新建案件
case_name = create_case_name()
case_id = api_object.add_case(case_name)
# 在案件下新建文件夹
folder_name = create_random_str()
folder_id = api_object.add_folder(case_id, folder_name)
# 在文件夹下上传音频
file_id = api_object.upload_file_to_folder(case_id,
file_path,
folder_id=folder_id)
# 验证文件是否上传成功
find_result = api_object.find_file_by_id(case_id, folder_id, file_id)
assert find_result
def test_recover_tag(self, api_object):
"""回收站还原标记"""
# 从excel读取数据
excel_data = read_excel('test_recover_tag')
file_path = excel_data.get('file_path')
begin_time_1 = int(excel_data.get('begin_time_1'))
end_time_1 = int(excel_data.get('end_time_1'))
tag_name_1 = excel_data.get('tag_name_1')
comment_1 = excel_data.get('comment_1')
begin_time_2 = int(excel_data.get('begin_time_2'))
end_time_2 = int(excel_data.get('end_time_2'))
tag_name_2 = excel_data.get('tag_name_2')
comment_2 = excel_data.get('comment_2')
# 新建案件
case_name = create_case_name()
case_id = api_object.add_case(case_name)
# 在案件下新建文件夹
folder_name = create_random_str()
folder_id = api_object.add_folder(case_id, folder_name)
# 在文件夹下上传音频
file_id = api_object.upload_file_to_folder(case_id,
file_path,
folder_id=folder_id)
# 给音频文件添加标记
tag_id_1 = api_object.add_tag(begin_time_1, end_time_1, case_id,
tag_name_1, file_id, comment_1)
tag_id_2 = api_object.add_tag(begin_time_2, end_time_2, case_id,
tag_name_2, file_id, comment_2)
tag_ids = [tag_id_1, tag_id_2]
# 删除标记
api_object.remove_tag(tag_ids)
# 还原标记
api_object.recover_tag(tag_ids)
# 验证标记已经还原到标记列表
find_result_1 = api_object.find_tag_by_id(case_id, file_id, tag_id_1)
assert find_result_1
find_result_2 = api_object.find_tag_by_id(case_id, file_id, tag_id_2)
assert find_result_2
# 验证回收站不存在被还原的标记
find_result_3 = api_object.find_tag_in_recycle_by_id(case_id, tag_id_1)
assert find_result_3 is False
find_result_4 = api_object.find_tag_in_recycle_by_id(case_id, tag_id_2)
assert find_result_4 is False
def test_rename_file(self, api_object):
"""测试文件重命名"""
# 从excel读取数据
excel_data = read_excel('test_upload_picture')
file_path = excel_data.get('file_path')
file_name = get_file_name(file_path)
# 新建案件
case_name = create_case_name()
case_id = api_object.add_case(case_name)
# 在案件下新建文件夹
folder_name = create_random_str()
folder_id = api_object.add_folder(case_id, folder_name)
# 在文件夹下上传图片
mime_type = 'application/octet-stream'
file_id = api_object.upload_file_to_folder(case_id, file_path,
mime_type, folder_id)
# 修改文件名称
new_name = 'new_' + file_name
api_object.rename_file(file_id, new_name)
find_result = api_object.find_file_by_name(case_id, folder_id,
new_name)
assert find_result
def test_del_hearing_analysis(self, api_object):
"""测试删除听觉量化分析记录"""
# 从excel读取数据
excel_data = read_excel('test_del_hearing_analysis')
file_path_1 = excel_data.get('file_path_1')
file_path_2 = excel_data.get('file_path_2')
recode_state = bool(excel_data.get('recode_state'))
pitch_level_score = int(excel_data.get('pitch_level_score'))
pitch_level_comment = excel_data.get('pitch_level_comment')
pitch_variation_range_score = int(
excel_data.get('pitch_variation_range_score'))
pitch_variation_range_comment = excel_data.get(
'pitch_variation_range_comment')
pitch_model_score = int(excel_data.get('pitch_model_score'))
pitch_model_comment = excel_data.get('pitch_model_comment')
throat_allover_score = int(excel_data.get('throat_allover_score'))
throat_allover_comment = excel_data.get('throat_allover_comment')
throat_bubble_score = int(excel_data.get('throat_bubble_score'))
throat_bubble_comment = excel_data.get('throat_bubble_comment')
throat_other_score = int(excel_data.get('throat_other_score'))
throat_other_comment = excel_data.get('throat_other_comment')
tone_intensity_score = int(excel_data.get('tone_intensity_score'))
tone_intensity_comment = excel_data.get('tone_intensity_comment')
dialect_area_score = int(excel_data.get('dialect_area_score'))
dialect_area_comment = excel_data.get('dialect_area_comment')
dialect_foreign_language_score = int(
excel_data.get('dialect_foreign_language_score'))
dialect_foreign_language_comment = excel_data.get(
'dialect_foreign_language_comment')
dialect_idiom_score = int(excel_data.get('dialect_idiom_score'))
dialect_idiom_comment = excel_data.get('dialect_idiom_comment')
tuning_vowel_score = int(excel_data.get('tuning_vowel_score'))
tuning_vowel_comment = excel_data.get('tuning_vowel_comment')
tuning_consonant_score = int(excel_data.get('tuning_consonant_score'))
tuning_consonant_comment = excel_data.get('tuning_consonant_comment')
tuning_mispronunciation_score = int(
excel_data.get('tuning_mispronunciation_score'))
tuning_mispronunciation_comment = excel_data.get(
'tuning_mispronunciation_comment')
tuning_nasal_score = int(excel_data.get('tuning_nasal_score'))
tuning_nasal_comment = excel_data.get('tuning_nasal_comment')
rhythm_speaking_rate_score = int(
excel_data.get('rhythm_speaking_rate_score'))
rhythm_speaking_rate_comment = excel_data.get(
'rhythm_speaking_rate_comment')
rhythm_speech_burst_score = int(
excel_data.get('rhythm_speech_burst_score'))
rhythm_speech_burst_comment = excel_data.get(
'rhythm_speech_burst_comment')
rhythm_other_score = int(excel_data.get('rhythm_other_score'))
rhythm_other_comment = excel_data.get('rhythm_other_comment')
other_incoherence_score = int(
excel_data.get('other_incoherence_score'))
other_incoherence_comment = excel_data.get('other_incoherence_comment')
other_language_barrier_score = int(
excel_data.get('other_language_barrier_score'))
other_language_barrier_comment = excel_data.get(
'other_language_barrier_comment')
other_feature_score = int(excel_data.get('other_feature_score'))
other_feature_comment = excel_data.get('other_feature_comment')
# 新建案件
case_name = create_case_name()
case_id = api_object.add_case(case_name)
# 在案件下新建文件夹
folder_name = create_random_str()
folder_id = api_object.add_folder(case_id, folder_name)
# 在文件夹下上传音频
material_file_id = api_object.upload_file_to_folder(
case_id, file_path_1, folder_id=folder_id)
sample_file_id = api_object.upload_file_to_folder(case_id,
file_path_2,
folder_id=folder_id)
# 新增听觉量化分析记录
hearing_id = api_object.add_hearing_analysis(
material_file_id, sample_file_id, case_id, recode_state,
pitch_level_score, pitch_level_comment,
pitch_variation_range_score, pitch_variation_range_comment,
pitch_model_score, pitch_model_comment, throat_allover_score,
throat_allover_comment, throat_bubble_score, throat_bubble_comment,
throat_other_score, throat_other_comment, tone_intensity_score,
tone_intensity_comment, dialect_area_score, dialect_area_comment,
dialect_foreign_language_score, dialect_foreign_language_comment,
dialect_idiom_score, dialect_idiom_comment, tuning_vowel_score,
tuning_vowel_comment, tuning_consonant_score,
tuning_consonant_comment, tuning_mispronunciation_score,
tuning_mispronunciation_comment, tuning_nasal_score,
tuning_nasal_comment, rhythm_speaking_rate_score,
rhythm_speaking_rate_comment, rhythm_speech_burst_score,
rhythm_speech_burst_comment, rhythm_other_score,
rhythm_other_comment, other_incoherence_score,
other_incoherence_comment, other_language_barrier_score,
other_language_barrier_comment, other_feature_score,
other_feature_comment)
# 将听觉量化分析记录删除
api_object.del_hearing_analysis(case_id, material_file_id,
sample_file_id)
# 验证记录是否成功删除
find_result = api_object.find_hearing_analysis_by_id(
case_id, hearing_id)
assert find_result is False