From fafe6ab7798a59d8d352ec0475bae922f70ed060 Mon Sep 17 00:00:00 2001
From: "google-labs-jules[bot]"
 <161369871+google-labs-jules[bot]@users.noreply.github.com>
Date: Thu, 9 Apr 2026 05:18:01 +0000
Subject: [PATCH] =?UTF-8?q?=F0=9F=8E=A8=20Palette:=20enhance=20CLI=20visua?=
 =?UTF-8?q?l=20consistency=20and=20data=20reliability?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

This commit improves the CLI UX in the demo scripts by:
1. Using rounded corners for result tables to match existing panels.
2. Ensuring unique customer IDs in demo output via random.sample.
3. Reducing visual noise in the next-step guidance.

Co-authored-by: ruh-al-tarikh <203426218+ruh-al-tarikh@users.noreply.github.com>
---
 .Jules/palette.md     | 4 ++++
 01_getting_started.py | 7 +++++--
 02_logging.py         | 5 ++++-
 3 files changed, 13 insertions(+), 3 deletions(-)

diff --git a/.Jules/palette.md b/.Jules/palette.md
index 75953c9..db658b6 100644
--- a/.Jules/palette.md
+++ b/.Jules/palette.md
@@ -20,3 +20,7 @@
 ## 2026-04-02 - [Execution Feedback & Visual Hierarchy]
 **Learning:** For CLI-based onboarding, providing immediate feedback on execution duration via `time.perf_counter()` and using titled `rich.Rule` components significantly improves the professional feel and clarity of the workflow completion state.
 **Action:** Incorporate high-resolution execution timing in final result panels and add descriptive titles to terminal rules to better guide users through multi-step onboarding processes.
+
+## 2026-04-03 - [Consistent CLI Aesthetics & Data Integrity]
+**Learning:** Using `box.ROUNDED` for `rich.table.Table` components ensures visual consistency with rounded `Panel` elements, creating a more polished and cohesive CLI experience. Furthermore, using `random.sample` instead of `random.choices` for demo data prevents confusing duplicates, which improves the perceived reliability of the workflow being demonstrated.
+**Action:** Apply consistent border styling across all container components and prefer unique data generation for tutorial-style outputs to maintain a high-quality user experience.
diff --git a/01_getting_started.py b/01_getting_started.py
index a9bcdce..98a5e14 100644
--- a/01_getting_started.py
+++ b/01_getting_started.py
@@ -1,6 +1,7 @@
 from prefect import flow, task
 import random
 import time
+from rich import box
 from rich.console import Console
 from rich.markdown import Markdown
 from rich.panel import Panel
@@ -14,7 +15,8 @@
 def get_customer_ids() -> list[str]:
     """Fetch customer IDs from a database or API."""
     # Use sorted and zero-padded IDs for better terminal alignment
-    ids = [f"customer-{n:02d}" for n in random.choices(range(100), k=5)]
+    # Use random.sample to ensure unique IDs in the demo output
+    ids = [f"customer-{n:02d}" for n in random.sample(range(100), k=5)]
     return sorted(ids)
 
 
@@ -70,6 +72,7 @@ def main():
         show_header=True,
         header_style="bold blue",
         show_footer=True,
+        box=box.ROUNDED,
     )
     table.add_column("Customer ID", style="cyan", footer="Total")
     table.add_column(
@@ -93,7 +96,7 @@ def main():
 
     console.print(Rule("Next Step", style="blue"))
     console.print(
-        "[bold blue]➡️ Next Step:[/bold blue] Try running [cyan]python 02_logging.py[/cyan] to learn about logging in Prefect!"
+        "Try running [cyan]python 02_logging.py[/cyan] to learn about logging in Prefect!"
     )
 
     return results
diff --git a/02_logging.py b/02_logging.py
index f5e6ab6..6ab7e97 100644
--- a/02_logging.py
+++ b/02_logging.py
@@ -2,6 +2,7 @@
 from prefect.logging import get_run_logger
 import random
 import time
+from rich import box
 from rich.console import Console
 from rich.markdown import Markdown
 from rich.panel import Panel
@@ -15,7 +16,8 @@
 def get_customer_ids() -> list[str]:
     """Fetch customer IDs from a database or API."""
     # Use sorted and zero-padded IDs for better terminal alignment
-    ids = [f"customer-{n:02d}" for n in random.choices(range(100), k=5)]
+    # Use random.sample to ensure unique IDs in the demo output
+    ids = [f"customer-{n:02d}" for n in random.sample(range(100), k=5)]
     return sorted(ids)
 
 
@@ -79,6 +81,7 @@ def main():
         show_header=True,
         header_style="bold blue",
         show_footer=True,
+        box=box.ROUNDED,
     )
     table.add_column("Customer ID", style="cyan", footer="Total")
     table.add_column(