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Use Vega formula transform to add phase field instead of nesting data
Co-authored-by: danmarshall <11507384+danmarshall@users.noreply.github.com>
1 parent 7e94893 commit 16ecc87

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Lines changed: 134 additions & 135 deletions

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‎packages/web-deploy/json/agentic-task-log.idoc.json‎

Lines changed: 134 additions & 135 deletions
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@@ -62,34 +62,36 @@
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"type": "inline",
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"content": [
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{
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"phase": "⚙️ Execution Phase 1: Data Loading & Validation",
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"logs": [
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{
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"timestamp": "2024-11-19 10:15:23",
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"level": "info",
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"message": "Starting data analysis task..."
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},
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{
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"timestamp": "2024-11-19 10:15:24",
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"level": "info",
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"message": "Loading dataset: sales_q4_2024.csv"
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},
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{
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"timestamp": "2024-11-19 10:15:26",
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"level": "success",
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"message": "Dataset loaded successfully (15,234 rows, 12 columns)"
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},
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{
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"timestamp": "2024-11-19 10:15:27",
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"level": "info",
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"message": "Performing data validation and cleaning..."
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},
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{
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"timestamp": "2024-11-19 10:15:29",
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"level": "success",
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"message": "Data validation complete. No missing values detected."
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}
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]
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"timestamp": "2024-11-19 10:15:23",
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"level": "info",
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"message": "Starting data analysis task..."
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},
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{
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"timestamp": "2024-11-19 10:15:24",
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"level": "info",
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"message": "Loading dataset: sales_q4_2024.csv"
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},
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{
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"timestamp": "2024-11-19 10:15:26",
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"level": "success",
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"message": "Dataset loaded successfully (15,234 rows, 12 columns)"
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},
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{
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"timestamp": "2024-11-19 10:15:27",
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"level": "info",
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"message": "Performing data validation and cleaning..."
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},
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{
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"timestamp": "2024-11-19 10:15:29",
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"level": "success",
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"message": "Data validation complete. No missing values detected."
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}
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],
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"dataFrameTransformations": [
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{
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"type": "formula",
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"as": "phase",
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"expr": "'⚙️ Execution Phase 1: Data Loading & Validation'"
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}
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]
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},
@@ -114,44 +116,46 @@
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"type": "inline",
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"content": [
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{
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"phase": "⚙️ Execution Phase 2: Analysis & Visualization",
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"logs": [
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{
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"timestamp": "2024-11-19 10:16:05",
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"level": "info",
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"message": "Computing aggregate statistics..."
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},
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{
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"timestamp": "2024-11-19 10:16:07",
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"level": "info",
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"message": "Grouping data by region: North, South, East, West"
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},
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{
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"timestamp": "2024-11-19 10:16:09",
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"level": "success",
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"message": "Regional analysis complete"
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},
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{
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"timestamp": "2024-11-19 10:16:10",
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"level": "info",
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"message": "Generating revenue trends by month..."
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},
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{
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"timestamp": "2024-11-19 10:16:13",
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"level": "success",
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"message": "Trend analysis complete"
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},
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{
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"timestamp": "2024-11-19 10:16:14",
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"level": "info",
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"message": "Creating visualizations..."
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},
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{
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"timestamp": "2024-11-19 10:16:18",
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"level": "success",
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"message": "Generated 3 charts: revenue_by_region.png, monthly_trends.png, top_products.png"
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}
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]
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"timestamp": "2024-11-19 10:16:05",
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"level": "info",
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"message": "Computing aggregate statistics..."
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},
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{
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"timestamp": "2024-11-19 10:16:07",
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"level": "info",
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"message": "Grouping data by region: North, South, East, West"
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},
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{
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"timestamp": "2024-11-19 10:16:09",
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"level": "success",
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"message": "Regional analysis complete"
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},
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{
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"timestamp": "2024-11-19 10:16:10",
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"level": "info",
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"message": "Generating revenue trends by month..."
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},
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{
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"timestamp": "2024-11-19 10:16:13",
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"level": "success",
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"message": "Trend analysis complete"
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},
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{
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"timestamp": "2024-11-19 10:16:14",
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"level": "info",
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"message": "Creating visualizations..."
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},
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{
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"timestamp": "2024-11-19 10:16:18",
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"level": "success",
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"message": "Generated 3 charts: revenue_by_region.png, monthly_trends.png, top_products.png"
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}
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],
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"dataFrameTransformations": [
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{
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"type": "formula",
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"as": "phase",
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"expr": "'⚙️ Execution Phase 2: Analysis & Visualization'"
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}
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]
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},
@@ -176,39 +180,41 @@
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"type": "inline",
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"content": [
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{
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"phase": "⚙️ Execution Phase 3: Report Generation",
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"logs": [
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{
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"timestamp": "2024-11-19 10:17:30",
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"level": "info",
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"message": "Initiating report generation..."
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},
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{
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"timestamp": "2024-11-19 10:17:31",
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"level": "info",
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"message": "Compiling data summaries and insights..."
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},
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{
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"timestamp": "2024-11-19 10:17:33",
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"level": "info",
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"message": "Embedding visualizations into report template..."
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},
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{
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"timestamp": "2024-11-19 10:17:38",
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"level": "info",
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"message": "Rendering report to PDF format..."
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},
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{
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"timestamp": "2024-11-19 10:17:42",
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"level": "success",
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"message": "Report generated successfully: Q4_Sales_Report_2024.pdf (2.4 MB)"
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},
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{
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"timestamp": "2024-11-19 10:17:43",
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"level": "success",
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"message": "Task completed in 4 minutes 20 seconds"
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}
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]
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"timestamp": "2024-11-19 10:17:30",
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"level": "info",
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"message": "Initiating report generation..."
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},
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{
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"timestamp": "2024-11-19 10:17:31",
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"level": "info",
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"message": "Compiling data summaries and insights..."
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},
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{
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"timestamp": "2024-11-19 10:17:33",
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"level": "info",
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"message": "Embedding visualizations into report template..."
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},
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{
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"timestamp": "2024-11-19 10:17:38",
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"level": "info",
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"message": "Rendering report to PDF format..."
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},
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{
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"timestamp": "2024-11-19 10:17:42",
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"level": "success",
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"message": "Report generated successfully: Q4_Sales_Report_2024.pdf (2.4 MB)"
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},
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{
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"timestamp": "2024-11-19 10:17:43",
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"level": "success",
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"message": "Task completed in 4 minutes 20 seconds"
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}
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],
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"dataFrameTransformations": [
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{
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"type": "formula",
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"as": "phase",
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"expr": "'⚙️ Execution Phase 3: Report Generation'"
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}
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]
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},
@@ -403,51 +409,44 @@
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"setTemplate": "executionLog",
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"template": {
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"div": {
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"$bind": ".",
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"class": "execution-log",
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"$children": [
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{
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"h3": {
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"$children": [
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"{{0.phase}}"
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]
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}
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},
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{
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"div": {
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"class": "execution-log",
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"$bind": ".",
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"$children": [
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{
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"h3": {
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"$children": [
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"{{phase}}"
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]
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}
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},
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{
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"div": {
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"$bind": "logs",
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"class": "log-entry",
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"$children": [
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{
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"div": {
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"class": "log-entry",
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"span": {
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"class": "log-timestamp",
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"$children": [
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"[{{timestamp}}]"
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]
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}
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},
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{
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"span": {
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"class": "log-level-{{level}}",
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"$children": [
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{
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"span": {
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"class": "log-timestamp",
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"$children": [
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"[{{timestamp}}]"
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]
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}
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},
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{
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"span": {
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"class": "log-level-{{level}}",
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"$children": [
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" {{level}}: "
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]
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}
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},
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{
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"span": {
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"class": "log-message",
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"$children": [
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"{{message}}"
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]
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}
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}
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" {{level}}: "
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]
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}
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},
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{
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"span": {
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"class": "log-message",
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"$children": [
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"{{message}}"
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]
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}
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}

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