From 96f8e8e24c07358b78a9e4561333b0c68debf637 Mon Sep 17 00:00:00 2001
From: "google-labs-jules[bot]"
 <161369871+google-labs-jules[bot]@users.noreply.github.com>
Date: Mon, 30 Mar 2026 05:27:29 +0000
Subject: [PATCH] =?UTF-8?q?=F0=9F=8E=A8=20Palette:=20Enhance=20CLI=20UX=20?=
 =?UTF-8?q?and=20terminal=20readability?=
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Implemented several micro-UX improvements to the demo scripts:
- Added `rich.console.status` spinners to simulate data fetching progress.
- Reduced default customer count from 50 to 5 in `01_getting_started.py` and `02_logging.py` for better signal-to-noise ratio in terminal output.
- Improved visual spacing by adding an empty line before final success panels.
- Updated `.Jules/palette.md` with a new journal entry on demo scale vs. terminal readability.

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         | 7 +++++--
 3 files changed, 14 insertions(+), 4 deletions(-)

diff --git a/.Jules/palette.md b/.Jules/palette.md
index ccae255..2677c36 100644
--- a/.Jules/palette.md
+++ b/.Jules/palette.md
@@ -5,3 +5,7 @@
 ## 2026-03-28 - [Guided CLI Onboarding]
 **Learning:** For tutorial-style scaffolds, adding "Next Step" guidance directly to the terminal output after a successful run creates a much smoother onboarding experience than relying solely on the README.
 **Action:** Always include a clear, visually distinct "Next Step" message at the end of introductory scripts to guide users through the intended learning path.
+
+## 2026-03-30 - [Demo Scale vs. Terminal Readability]
+**Learning:** For demo scripts, larger data sets can degrade the UX by flooding the terminal with logs, making it harder for users to see the structure of the output.
+**Action:** Limit the default number of items in demo loops (e.g., 5 items) to maintain a high signal-to-noise ratio while still demonstrating the functionality.
diff --git a/01_getting_started.py b/01_getting_started.py
index 2f57417..4669797 100644
--- a/01_getting_started.py
+++ b/01_getting_started.py
@@ -10,7 +10,7 @@
 @task
 def get_customer_ids() -> list[str]:
     # Fetch customer IDs from a database or API
-    return [f"customer{n}" for n in random.choices(range(100), k=50)]
+    return [f"customer{n}" for n in random.choices(range(100), k=5)]
 
 
 @task
@@ -26,13 +26,16 @@ def main():
     This flow demonstrates how to map a task over a list of inputs.
     It fetches a list of customer IDs and processes each one individually.
     """
-    customer_ids = get_customer_ids()
+    with console.status("[bold green]Fetching customer data..."):
+        customer_ids = get_customer_ids()
+
     # Map the process_customer task across all customer IDs
     console.print(f"[bold blue]📦 Fetched {len(customer_ids)} customer IDs[/bold blue]")
 
     with console.status("[bold green]Processing customers..."):
         results = process_customer.map(customer_ids)
 
+    console.print()
     console.print(
         Panel.fit(
             f"[bold green]✅ Successfully processed {len(results)} customers![/bold green]",
diff --git a/02_logging.py b/02_logging.py
index 5a0753b..f225f64 100644
--- a/02_logging.py
+++ b/02_logging.py
@@ -11,7 +11,7 @@
 @task
 def get_customer_ids() -> list[str]:
     # Fetch customer IDs from a database or API
-    return [f"customer{n}" for n in random.choices(range(100), k=50)]
+    return [f"customer{n}" for n in random.choices(range(100), k=5)]
 
 
 @task
@@ -36,13 +36,16 @@ def main():
     - Use the Prefect logger for structured logging in tasks.
     - Map tasks across a list of inputs.
     """
-    customer_ids = get_customer_ids()
+    with console.status("[bold green]Fetching customer data..."):
+        customer_ids = get_customer_ids()
+
     # Map the process_customer task across all customer IDs
     console.print(f"[bold blue]📦 Fetched {len(customer_ids)} customer IDs[/bold blue]")
 
     with console.status("[bold green]Processing customers with logging..."):
         results = process_customer.map(customer_ids)
 
+    console.print()
     console.print(
         Panel.fit(
             f"[bold green]✅ Successfully processed {len(results)} customers with detailed logging![/bold green]",