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Integrate API calls to facilitate PreTalx data analysis

I have figured out some tooling to grab data from submissions (proposals) and reviews out of PreTalx, which may be useful for assigning proposal reviews to volunteers.

First, both relevant PreTalx APIs authenticate using a fixed token already assigned to each user. Fetch it from the user profile page, scroll down to the API Access heading.

Second, both APIs are streaming: each invocation returns a subset of the sequence of either submissions or reviews, along with a URL whose GET fetches the next page. The following function articulates the logic to pull the whole stream associated to one of these two API endpoints:

from contextlib import closing
import requests
from tqdm.auto import tqdm

def fetch_sequence(url1, token, max_queries=50):
    sequence = []
    url = url1
    max_queries = 50
    num_queries = 0
    num_results_expected = None

    with closing(tqdm(total=max_queries)) as progress:
        while True:
            response = requests.get(url, headers={"Authorization": f"Token {token}"})
            assert response.ok
            data = response.json()
            progress.update()
            num_queries += 1

            assert "results" in data
            assert "next" in data

            if num_results_expected is None and "count" in data:
                num_results_expected = data["count"]
                max_queries = int(np.ceil(num_results_expected / len(data["results"])))
                progress.reset(max_queries)
                progress.update(num_queries)
            else:
                assert num_results_expected == data["count"]

            sequence += data["results"]
            url = data["next"]
            if not url:
                break

    return sequence

The endpoints in question:

  1. Submissions: https://cfp.scipy.org/api/events/2024/submissions/
  2. Reviews: https://cfp.scipy.org/api/events/2024/reviews/

Easy peasy!

Add application tests

Please provide us with the following information:

This issue is for a: (mark with an x)

- [ ] bug report -> please search issues before submitting
- [x] feature request
- [ ] documentation issue or request
- [ ] regression (a behavior that used to work and stopped in a new release)

It would be good to add pytest based tests for the applicaiton functionality. This will require some mock data similar in form to what is expected in

df_submissions = pd.read_csv("2023_submissions_to_assign.csv")
df_reviewers = pd.read_csv("2023_reviewers_to_assign.csv")

Then unit and application tests can be written that in addition to typical use target edge cases that have been encournted in the past.

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