Skip to main content

Common tools of AI module for BNQ

Project description

1.NacConnect类,用于连接nacos服务,获取配置文件信息

NacConnect类中参数信息如下:
    server_addresses: 地址
    namespace: 命名空间
    username: 用户名
    password: 密码
    group: 组合字典, 包括group_name和data_ids
    conf_type: 配置文件类型, 非必需,值为json或yaml

示例如下:
    test_data = {
                    'group': {'t-dev': ['project_name_1', 'project_name_2']},
                    'username': 'nacos',
                    'password': 'nacos',
                    'server_addresses': '127.0.0.1:8080',
                    'namespace': 't-dev'
                }
    conf_test = NacConnect(**test_data)
    print(conf_test())

2.LoggingRecord类,用于记录日志信息

LoggingRecord类中参数信息如下:
    max_bytes: 日志文件最大大小, 默认值20M
    backup_count: 日志备份最大数量, 默认值为10
    log_level: 日志级别, 默认值为INFO
    log_dir: 日志文件路径,默认在根目录下创建log文件夹

示例如下:
    testLog = LoggingRecord(log_level=logging.DEBUG)
    for i in range(10):
        print(i, 'i')
        print(testLog, "testLog")
        testLog.debug(i)
        testLog.info("中文测试")
        testLog.error(i)
        testLog.warning(i)
        testLog.exception(i)

3.SingletonMeta类,用于实现单例模式

示例如下:
    class TestClass(metaclass=SingletonMeta):
        def __init__(self):
            pass

4.CosConnect类,用于连接腾讯云存储平台cos

CosConnect类中参数信息如下:
    secret_id: 腾讯云secret_id
    secret_key: 腾讯云secret_key
    region: 腾讯云存储区域

示例如下:
    test_data = {
                    'secret_id': 'AKIDxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx',
                    'secret_key': 'xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx',
                    'region': 'ap-guangzhou'
                }
    cos_test = CosConnect(**test_data)
    print(cos_test())

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

common-tools-ai-bnq-0.1.3.tar.gz (5.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

common_tools_ai_bnq-0.1.3-py3-none-any.whl (19.7 kB view details)

Uploaded Python 3

File details

Details for the file common-tools-ai-bnq-0.1.3.tar.gz.

File metadata

  • Download URL: common-tools-ai-bnq-0.1.3.tar.gz
  • Upload date:
  • Size: 5.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.0.0 CPython/3.8.19

File hashes

Hashes for common-tools-ai-bnq-0.1.3.tar.gz
Algorithm Hash digest
SHA256 edac6c6abe07799c49dac5dbe63ed33c35e16b33b1d5fa7fe064886a5e7c7e32
MD5 6238442c27fa7bfe8eb57a5951774529
BLAKE2b-256 009faa4494ebc798791ac1c94f9e954d50a010d5cc061233ec98001b001be518

See more details on using hashes here.

File details

Details for the file common_tools_ai_bnq-0.1.3-py3-none-any.whl.

File metadata

File hashes

Hashes for common_tools_ai_bnq-0.1.3-py3-none-any.whl
Algorithm Hash digest
SHA256 e5c42f8e43326325e8649d53941b083310b88236c6090c2641a86c0f5267c6e6
MD5 36198008c79f0666a2fc9a66abe94d3a
BLAKE2b-256 15c51090cb26534c3cf1ff8f4c01beef47d1d6af28fbf15353af7219a0753c53

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page