Skip to main content

Mend SCA Cleanup Tool

Project description

Logo License Mend projects cleanup Python 3.6 PyPI

Mend Projects Cleanup CLI Tool

  • The self-hosted CLI tool features cleaning up projects and generating reports before deletion in 2 modes:
    • By stating OperationMode=FilterProjectsByUpdateTime and how many days to keep (-r/ DaysToKeep=)
    • By stating OperationMode=FilterProjectsByLastCreatedCopies and how many copies to keep (-r/ DaysToKeep=)
  • The reports are saved in the designated location as follows: [Output_DIR]/[PRODUCT NAME]/[PROJECT NAME]/[REPORT NAME]
    • The default location is the [WORKING DIRECTORY]/Mend/Reports/[PRODUCT NAME]/[PROJECT NAME]/[REPORT NAME]
  • To review the outcome before actual deletion use -y true / DryRun=True flag. It will NOT delete any project nor create reports
  • By default, the tool generates all possible project-level reports. By specifying ((-t / Reports=/) it is possible to select specific reports
    • The full list of available reports is below
  • The full parameters list is available below
  • There are two ways to configure the tool:
    • By configuring params.config on the executed dir or passing a path to the file in the same format
    • By setting command line parameters as specified in the usage below

Supported Operating Systems

  • Linux (Bash): CentOS, Debian, Ubuntu, RedHat
  • Windows (PowerShell): 10, 2012, 2016

Pre-requisites

  • Python 3.8+

Permissions

  • The user used to execute the tool has to have "Organization Administrator" or "Product Administrator" on all the maintained products and "Organization Auditor" permissions.
  • It is recommended to use a service user.

Installation and Execution from PyPi (recommended):

  1. Install by executing: pip install mend-sca-cleanup-tool
  2. Configure the appropriate parameters either by using the command line or in params.config.
  3. Execute the tool (mend_sca_cleanup_tool ...).

Installation and Execution from GitHub:

  1. Download and unzip mend-sca-cleanup-tool.zip from the most recent tagged release.
  2. Install requirements: pip install -r requirements.txt
  3. Configure the appropriate parameters either by using the command line or params.config.
  4. Execute: python sca_cleanup_tool.py <CONFIG_FILE>

Examples:

Perform dry run check-in to get to know which projects would have been deleted:
mend_sca_cleanup_tool -r 30 -m FilterProjectsByUpdateTime -u <USER_KEY> -k <ORG_TOKEN> -y true


Keep the last 60 days on each product, omitting a product token <PRODUCT_1> from analyzing:
mend_sca_cleanup_tool -r 60 -m FilterProjectsByUpdateTime -u <USER_KEY> -k <ORG_TOKEN> -e <PRODUCT_TOKEN_1>


Keep only two of the newest projects in each product token PRODUCT_1 and PRODUCT_2:
mend_sca_cleanup_tool -r 2 -m FilterProjectsByLastCreatedCopies -u <USER_KEY> -k <ORG_TOKEN> -i <PRODUCT_TOKEN_1>,<PRODUCT_TOKEN_2>


Analyze only the projects that have the specified Mend tag and keep the newest project in each product:
mend_sca_cleanup_tool -r 1 -m FilterProjectsByLastCreatedCopies -u <USER_KEY> -k <ORG_TOKEN> -g <KEY>:<VALUE>


Keep the last 2 weeks and analyze only the projects whose match their tag key and the tag value contains the specified value:
mend_sca_cleanup_tool -r 14 -m FilterProjectsByUpdateTime -u <USER_KEY> -k <ORG_TOKEN> -v <KEY>:<VALUE>


Keep the last 100 days for both PRODUCT_1 and PRODUCT_2, but do not delete the project PROJECT_1 (which is a project in one of the included products):
mend_sca_cleanup_tool -r 100 -m FilterProjectsByUpdateTime -u <USER_KEY> -k <ORG_TOKEN> -i <PRODUCT_TOKEN_1>,<PRODUCT_TOKEN_2> -x <PROJECT_TOKEN_1>


Keep the last month for both PRODUCT_1 and PRODUCT_2, but do not delete projects that contain provided strings in their names:
mend_sca_cleanup_tool -r 31 -m FilterProjectsByUpdateTime -u <USER_KEY> -k <ORG_TOKEN> -i <PRODUCT_TOKEN_1>,<PRODUCT_TOKEN_2> -n CI_,-test


Full Usage flags:

usage: ws_cleanup_tool [-h] -u MEND_USER_KEY -k MEND_TOKEN [-a MEND_URL] [-t REPORT_TYPES] [-m {FilterProjectsByUpdateTime,FilterProjectsByLastCreatedCopies}] [-o OUTPUT_DIR] [-e EXCLUDED_PRODUCT_TOKENS] [-i INCLUDED_PRODUCT_TOKENS]
                    [-g ANALYZED_PROJECT_TAG] [-r DAYS_TO_KEEP] [-p PROJECT_PARALLELISM_LEVEL] [-y DRY_RUN]

Mend Cleanup Tool

optional arguments:
  -h, --help            show this help message and exit
  -u MEND_USER_KEY, --userKey 
                    Mend User Key
  -k MEND_API_TOKEN, --apiToken, --orgToken
                    Mend Organization Key (API Key)
  -a MEND_URL, --mendUrl, --wsURL
                    Mend URL. This value defaults to saas.whitesourcesoftware.com.
  -t REPORT_TYPES, --reportTypes
                    Report Types to generate (comma seperated list)
  -m OPERATION_MODE, --operationMode {FilterProjectsByUpdateTime,FilterProjectsByLastCreatedCopies}
                    Cleanup operation mode
  -o OUTPUT_DIR, --outputDir
                    Output directory
  -e EXCLUDED_PRODUCT_TOKENS, --excludedProductTokens
                    List of excluded products
  -i INCLUDED_PRODUCT_TOKENS, --includedProductTokens
                    List of included products
  -g ANALYZED_PROJECT_TAG, --AnalyzedProjectTag
                    Analyze only the projects whose contain the specific Mend tag (key:value). Case sensitive.
  -v ANALYZED_PROJECT_TAG_REGEX_IN_VALUE, --AnalyzedProjectTagRegexInValue
                    Analyze only the projects whose match their tag key and the tag value contains the specified value (key:value). Case sensitive.
                    Note: This was originally broken in the original ws-cleanup-tool. The functionality was adjusted to work as originally written. The naming convention is a misnomer but was kept to avoid breaking existing integrations.
  -r DAYS_TO_KEEP, --DaysToKeep
                    Number of days to keep in FilterProjectsByUpdateTime or number of copies in FilterProjectsByLastCreatedCopies
  -p PROJECT_PARALLELISM_LEVEL, --ProjectParallelismLevel
                    Project parallelism level
                    Note: This is currently not used in this version of the mend-sca-cleanup-tool. Was kept to prevent breaking existing integrations.
  -y DRY_RUN, --DryRun
                    Logging the projects that are supposed to be deleted without deleting and creating reports
                    default False
  -s SKIP_REPORT_GENERATION, --SkipReportGeneration
                    Skip report generation step
                    default False
  -j SKIP_PROJECT_DELETION, --SkipProjectDeletion
                    Skip project deletion step
                    default False                                        
  -x EXCLUDED_PROJECT_TOKENS, --excludedProjectTokens
                    List of excluded projects
  -n EXCLUDED_PROJECT_NAME_PATTERNS, --excludedProjectNamePatterns
                    List of excluded project name patterns (comma seperated list). Case sensitive.            

Available reports

The following Mend project reports are available through the clean-up tool. These values can be specified with the -t flag to generate specific reports.

  • alerts
  • alerts_rejected_by_policy
  • attribution
  • bugs
  • due_diligence
  • ignored_alerts
  • in_house_libraries
  • inventory
  • license_compatibility
  • resolved_alerts
  • request_history
  • source_files
  • source_file_inventory
  • vulnerability

SAST Clean up

If you need to run a clean up script for your SAST environment, please refer to the Mend SAST clean up kit in the Mend Toolkit

note: The optimal cleanup scope is derived from the size of the environment, Mend scope size (memory and CPU) allocated for the server, and runtime time constraints.

Project details


Download files

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

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

ws_cleanup_tool_test-23.6.1.4-py3-none-any.whl (14.7 kB view details)

Uploaded Python 3

File details

Details for the file ws_cleanup_tool_test-23.6.1.4-py3-none-any.whl.

File metadata

File hashes

Hashes for ws_cleanup_tool_test-23.6.1.4-py3-none-any.whl
Algorithm Hash digest
SHA256 47a3f0981c56c6453235d0a904c0274caa4d3cf0aaed34192661b81ed30d229e
MD5 6f2986ffb6bf44ce68d061cb91163cb1
BLAKE2b-256 07b7c18495e77cd1f9829171098855e3907541fa8241238705f96013df20ed53

See more details on using hashes here.

Supported by

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