Simple Peppi query has long runtime

[tyleryy]

Checked for duplicates

Yes - I've already checked

🐛 Describe the bug

Simple Peppi query that runs for a very long time or doesn't finish after several minutes.

🕵️ Expected behavior

I expected the query to finish in a reasonable amount of time.

📜 To Reproduce

Run this:

import pds.peppi as pep
from datetime import datetime

# Create a client connection to the PDS Registry
client = pep.PDSRegistryClient()

# Define context identifiers
pluto_target_id = "urn:nasa:pds:context:target:dwarf_planet.134340_pluto"
new_horizons_mission_id = "urn:nasa:pds:context:investigation:mission.new_horizons"

# Query for Pluto data from New Horizons
pluto_products = pep.Products(client).has_investigation(new_horizons_mission_id) \
                                    .has_target(pluto_target_id) \
                                    .observationals()

# Display products
for i, p in enumerate(pluto_products):
    if i >= 1: break  # Just show first 5
    print(f"{p.id}: {p.properties.get('ops:Label.ops:title', 'No title')}")

🖥 Environment Info

• on macbook sequoia 15
• ran inside jupyter notebook

📚 Version of Software Used

• pds.peppi==0.7.0
• python version: 3.11.4

🩺 Test Data / Additional context

No response

🦄 Related requirements

🦄 #xyz

⚙️ Engineering Details

No response

🎉 Integration & Test

No response

[tloubrieu-jpl]

This might have been a transient issue.
In my test today the performances were:

1. in peppi: ~3s
2. http request to API client side: ~3s
3. in API search and result formatting, server side: ~1s

The postman query timeline diagram for the given request is:

So the 3s of the requests seen by peppi are devided into:

• 1s unkown
• 1s API processing
• 1s download

We should investigage how the API response time an be improved but peppi is not adding any overhead time (tested in a simple python 3.12 interpreter or jupyter-lab).

[tloubrieu-jpl]

I am closing the ticket here because of the comment above. Re-open the ticket if the very slow or stuck query happens again.