Automatisierte Tracking-Abhängigkeitsaktualisierung

• •Slack Bot Token oder Webhook URL
• •Google Sheets API-Anmeldedaten
• •OpenAI API Key

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        "content": "## 🧩 Parse AI Response to Structured Data\n**Action:**  \n- Converts AI-generated output into structured JSON fields.  \n**Description:**  \n- Extracts risk_level and impact_summary.  \n- Removes markdown artifacts and trims whitespace.  \n- Provides fallback values if parsing fails (“Unknown” risk, “Failed to parse AI output”).  \n- Ensures safe and consistent payload for Jira comments and Google Sheets logging.\n"
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        "content": "## ⚙️ GPT-4o Model Configuration\n**Action:**  \n- Configures AI model for accurate risk analysis.  \n**Description:**  \n- Defines model parameters like temperature, max tokens, and system prompt.  \n- Ensures consistent, repeatable results in dependency analysis.  \n- Focuses on DevOps context including package criticality and versioning.  \n- Optimized for speed, reliability, and cost efficiency.\n"
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        "content": "## 🧠 AI-Powered Risk Assessment Analyzer\n**Action:**  \n- Uses GPT-4o to assess risk of dependency updates.  \n**Description:**  \n- Evaluates risk level (Low/Medium/High) and impact summary.  \n- Considers dependency type, version changes, security indicators, and breaking change potential.  \n- Provides structured JSON for downstream nodes.  \n- Reduces manual triage and ensures consistent assessment across issues.\n"
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        "content": "## 🔵 Alert DevOps Team in Slack\n**Action:**  \n- Sends a Slack notification about new dependency updates.  \n**Description:**  \n- Message includes issue key, summary, status, priority, assignee, and Jira link.  \n- Notifies DevOps and security teams immediately.  \n- Provides formatted, actionable information for rapid response.  \n- Creates audit trail of notifications for team transparency.\n"
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        "content": "## 💬 Post AI Risk Assessment to Jira Ticket\n**Action:**  \n- Adds AI-generated risk assessment as a Jira comment.  \n**Description:**  \n- Includes risk level, impact summary, and next steps checklist.  \n- Provides permanent record for audit and compliance.  \n- Allows developers to see AI assessment without leaving Jira.  \n- Promotes standardized update validation and quick decision-making.\n"
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        "content": "## 🟠 Extract Relevant Issue Metadata\n**Action:**  \n- Extracts key fields from Jira issues for downstream processing.  \n**Description:**  \n- Keeps only essential fields: key, summary, assignee, priority, status, URL, and issue links.  \n- Removes unnecessary metadata to reduce payload size.  \n- Prepares structured JSON for Slack notifications and AI risk assessment.  \n- Ensures consistency across all downstream nodes.\n"
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        "content": "## 🔴 Identify Dependency Update Issues\n**Action:**  \n- Filters Jira issues to isolate dependency/package updates.  \n**Description:**  \n- Searches summaries and descriptions for keywords like “update,” “bump,” “dependency,” “package,” or “library.”  \n- Case-insensitive matching for maximum coverage.  \n- **Matched Path:** Send to AI Risk Analysis.  \n- **Unmatched Path:** Skip for efficiency.  \n- Reduces noise and focuses AI analysis on relevant security/dependency issues.\n"
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        "content": "## ✅ Validate Jira Query Response\n**Action:**  \n- Verifies that Jira successfully returned issue data.  \n**Description:**  \n- Checks if response length > 0 before continuing.  \n- **True Path (Data Exists):** Proceeds to filter dependency-related issues.  \n- **False Path (No Data/Error):** Routes to error logging.  \n- Prevents downstream processing errors from empty datasets.  \n- Catches Jira API failures, authentication issues, or permission problems early.  \n- Critical quality gate that ensures workflow reliability and proper error handling.\n"
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        "content": "## 🟡 Log Jira Query Failures to Error Sheet\n**Action:**  \n- Records Jira API failures or empty responses into a Google Sheet.  \n**Description:**  \n- Captures error type, message, and timestamp for debugging.  \n- Supports identification of recurring API or authentication issues.  \n- Separates errors from main workflow to maintain process continuity.  \n- Helps troubleshoot integration problems effectively.\n"
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        "content": "## 🟣 Fetch All Active Jira Issues\n**Action:**  \n- Retrieves all project issues from Jira for processing.  \n**Description:**  \n- Connects via Jira API using OAuth or credentials.  \n- Pulls keys, summaries, statuses, priorities, assignees, and metadata.  \n- Supports pagination or “returnAll: true” for a complete dataset.  \n- Forms the base dataset for further analysis.\n"
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        "content": "## 📈 Log Dependency Updates to Tracking Dashboard\n**Action:**  \n- Saves all processed dependency updates into a Google Sheet for tracking.  \n**Description:**  \n- Logs key, summary, assignee, status, risk level, impact summary, and timestamp.  \n- Enables historical trend analysis and reporting.  \n- Supports dashboards in Looker Studio, Tableau, or Notion.  \n- Provides data for compliance audits, risk distribution, and DevOps performance metrics.\n"
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        "comment": "=🤖 *AI Risk Assessment Report*  *Risk Level:* {{$json[\"risk_level\"]}}   *Impact Summary:* {{$json[\"impact_summary\"]}}  ✅ *Next Steps:*   - [ ] Review dependency changelog   - [ ] Run regression tests   - [ ] Verify compatibility with core modules   - [ ] QA sign-off before merge",
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