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Overview

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Tool Name

artifact_manager_tools

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Purpose

The artifact_manager_tools group is specifically designed to handle artifacts created during various workflows or processes. Artifacts can include process outputs, logs, reports, or other files that need to be managed, tracked, or preserved for later use.

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Key Features & Functions

Manage Artifacts

Manages the lifecycle of artifacts, including creation, updating, status changes, and deletion.

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Input Parameters for Each Function

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manage_artifact

Parameters

NameDefinitionFormat
actionSpecifies the artifact operation ("CREATE", "UPDATE", "CHANGE_STATUS", "DELETE", "LIST") (required).String (required)
artifact_idUnique ID of the artifact for updating, removing, or changing status (required for UPDATE, CHANGE_STATUS, or DELETE).String
artifact_detailsJSON object containing:JSON/Object
– description (string, optional)Short summary of the artifact’s purpose or details.String
– location (string, required)Where the artifact is stored (file path, stage, URL).String
– metadata (JSON object, optional)Additional metadata (e.g., file format, size, creation date).JSON/Object
– status (string, optional)Artifact’s current status (e.g., "Active", "Archived", "Deprecated").String

Genbot Tip Maintain consistent naming and descriptive metadata for artifacts to ensure quick identification and traceability.

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Use Cases

  1. Managing Workflow Outputs

    • Track artifacts generated by various processes or automation workflows.

    • Example: Storing SQL query outputs for later analytics or dashboard ingestion.

  2. Artifact Version Control

    • Update artifact metadata to reflect new versions or changes.

    • Example: Revising descriptions for updated ETL output datasets.

  3. Audit Logs and Tracking

    • Store script execution logs or audit processes as artifacts.

    • Example: Capturing nightly backup logs for future reference and compliance checks.

  4. Archiving Old Artifacts

    • Change artifact statuses to "Archived" once they’re no longer actively used.

    • Example: Preserving older report artifacts while removing them from active workflows.

IMPORTANT: Changing an artifact’s status to "Archived" can prevent it from being used in active processes—ensure it’s genuinely no longer needed before archiving.

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Workflow/How It Works

  1. Step 1: Create Artifacts

    • Invoke manage_artifact with "CREATE" to define new artifacts, including location and metadata.

  2. Step 2: Update Artifact Details

    • Use "UPDATE" to modify or append new details (e.g., updated descriptions or metadata).

  3. Step 3: Change Artifact Status

    • Apply "CHANGE_STATUS" (e.g., Active to Archived) for organizational clarity.

  4. Step 4: List and Retrieve Artifacts

    • Use "LIST" to review all artifacts or filter for workflow-generated outputs.

  5. Step 5: Delete Irrelevant Artifacts

    • Permanently remove outdated artifacts using "DELETE" to keep processes clean.

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Integration Relevance

  • ETL Outputs: Combine with snowflake_tools to manage data outputs generated by ETL pipelines.

  • Reporting: Integrate with process_manager_tools to store or retrieve finalized reports for future reference.

  • Testing: Complements manage_tests_tools for capturing test execution logs or results as artifacts.

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Configuration Details

  • Use meaningful descriptions and structured metadata fields to facilitate artifact traceability.

  • Define status labels (e.g., "Active", "Archived") that align with organizational standards.

  • Ensure location paths or URLs are valid and consistently maintained for smooth access or retrieval.

NOTE: Consider implementing redundancy or backup systems if artifacts are critical to long-term compliance or auditing needs.

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Limitations or Notes

  1. Manual Metadata

    • Metadata requires careful input; inaccurate or incomplete data can hinder future retrieval or understanding.

  2. Artifact Size

    • Large artifacts may need external storage solutions for scalability and cost-efficiency.

  3. Irreversible Deletion

    • Once deleted, artifacts cannot be recovered—verify the necessity of each deletion to avoid data loss.

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Output

  • Artifact Management

    • Confirmation messages for created, updated, or deleted artifacts, alongside relevant metadata.

  • Lifecycle Updates

    • Status changes reflecting transitions between "Active", "Archived", "Deprecated", etc.

  • Listing & Retrieval

    • JSON arrays or objects detailing available artifacts, including descriptions, locations, and statuses.
Tools OverviewAutonomous Process Tools