tencent cloud



Last updated: 2024-01-13 11:19:29
    Before installing TCCLI, make sure that your system has the Python environment installed. For details, see prerequisites instructed in Installing TCCLI.

    Step 1: Installing TCCLI

    Installing TCCLI

    Run commands based on the actual situation.
    TCCLI not installed Run the following command to quickly install TCCLI via pip. For details, please see Installing TCCLI.
    $ sudo pip install tccli
    TCCLI installed Run the following command to quickly upgrade TCCLI through pip:
    $ sudo pip install --upgrade tccli

    Verifying installation

    Run the following command to check whether TCCLI is successfully installed and has Batch-related capabilities:
    tccli batch help
    The returned result is as follows, indicating that TCCLI is successfully installed:
    tccli batch <action> [--param...]
    show the tccli batch help info
    specify a batch api version
    Used to query details of the computing environment
    Used to create a task template

    Step 2: Configuring TCCLI

    1. Log in to the API Key Management.
    2. Click Create Key or use an available key to record SecretID and SecretKey. See the figure below:
    3. Run the command tccli configure and enter the TCCLI configuration information. For details, please see Configuring TCCLI.
    $ tccli configure
    TencentCloud API secretId[None]:
    TencentCloud API secretKey[None]:

    Step 3: Preparing the COS Directory

    Creating a bucket and sub-folders

    1. Log in to the COS console and choose Bucket List in the left sidebar.
    2. Create a bucket and create 3 folders in the bucket. See the figure below:
    1. Click Basic Configuration on the left to view the endpoint in Basic Information. See the figure below:
    2. Acquire the endpoints of subfolders in the COS bucket.
    Acquire COS-related endpoints based on the actual situation.
    The acquired COS bucket endpoint is https://batchdemo-xxxxxxxxx.cos.ap-guangzhou.myqcloud.com. The endpoints of the three folders created in Creating a Bucket and Sub-folders can be acquired by combining domain and sub-folder names as follows:

    Step 4: Downloading the Demo File

    Access the Batch demo, download the test package, and decompress it.
    The demo is provided in the format of the Python+Batch CLI. Since BatchCompute has many capabilities and configuration items, you can work with it more conveniently by using Python scripts.

    Step 5: Modifying Demo Custom Information

    Change the general part of the custom information about the Batch demo. Modify all files in Demo as follows:
    Use the following custom information in 1_SimpleStart.py as an example:
    # custom (Change to your info)
    imageId = "img-m4q71qnf"
    Application = {
    "DeliveryForm": "LOCAL",
    "Command": " python -c \\"fib=lambda n:1 if n<=2 else fib(n-1)+fib(n-2); print(fib(20))\\" "
    StdoutRedirectPath = "cos://batchdemo-xxxxxxxxxx.cos.ap-guangzhou.myqcloud.com/logs/"
    StderrRedirectPath = "cos://batchdemo-xxxxxxxxxx.cos.ap-guangzhou.myqcloud.com/logs/"
    The following table lists the information to be modified.
    Configuration Item
    Custom images are created based on this image. For more information, see Windows Custom Image.
    Enter the complete log folder endpoint acquired in Acquiring COS-related endpoints.
    The startup command. Use the default setting.
    cmd = "tccli batch SubmitJob \\
    --version 2017-03-12 \\
    --Placement '{\\"Zone\\": \\"ap-guangzhou-2\\"}' \\
    --Job ' %s ' "%(json.dumps(testJob))
    The demo specifies Guangzhou Zone 2 for resource application. You can select the corresponding availability zone to apply for resources based on the default region configured in TCCLI. For more information about regions and availability zones, see Regions and AZs.

    Step 6: Testing

    Experience the Batch usage methods and computing capability in the following sequence according to the reference course.
    1. 1_SimpleStart.py: Quick Start
    2. 2_RemoteCodePkg.py: Running Remote Package
    3. 3_StoreMapping.py: Mapping Remote Storage
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