test(aws_lambda): reduce suite from 39 to 14 tests without losing coverage

[ericapisani]

Follow-up to #6972, applying the same reduce-tests-without-losing-coverage experiment to the AWS Lambda integration suite — the most expensive suite in the repo to run locally, since every test round-trips through dockerized AWS SAM containers.

The suite goes from 39 to 14 test cases (-64%) with no loss of assertions or behavior coverage. Reductions come from three sources:

Result: ~210s → ~115s per run on local machine, and 18 consecutive green runs (previously 5–9 flaky failures per run). Verified on py3.13 and py3.11 (full docker runs), py3.8-compatible syntax, ruff check + format clean.

Additional notes

test_timeout_error was dropped because its assertions are a subset of test_timeout_error_scope_modified, which is staying. The timeout-warning behaviour is still fully covered through the latter test.

However, the two used different init paths - the removed one ran through the Lambda-layer auto-init path (init_serverless_sdk), while the one we kept uses an explicit sentry_sdk.init call.

As a result, we lose timeout-specific coverage on the layer path. However, that path is still exercised by the other tests (BasicException, InitError, BasicOk), and the warning logic is identical.

I think it's worth the trade-off here, but if there are strong opinions about adding test_timeout_error back in to get that timeout-specific coverage, let me know.

[github-actions]

Codecov Results 📊

✅ 94882 passed | ⏭️ 6343 skipped | Total: 101225 | Pass Rate: 93.73% | Execution Time: 345m 54s

📊 Comparison with Base Branch

Metric	Change
Total Tests	📉 -100
Passed Tests	📉 -99
Failed Tests	📉 -1
Skipped Tests	—

➖ Removed Tests (1)

View removed tests

• test_continuous_profiler_auto_start_and_stop_sampled_span_streaming[non-experiment-thread]
  • File: tests.profiler.test_continuous_profiler

All tests are passing successfully.

✅ Patch coverage is 100.00%. Project has 2511 uncovered lines.
✅ Project coverage is 89.89%. Comparing base (base) to head (head).

Coverage diff

@@            Coverage Diff             @@
##          main       #PR       +/-##
==========================================
+ Coverage    89.88%    89.89%    +0.01%
==========================================
  Files          193       193         —
  Lines        24832     24832         —
  Branches      8912      8912         —
==========================================
+ Hits         22319     22321        +2
- Misses        2513      2511        -2
- Partials      1416      1415        -1

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Generated by Codecov Action

[sentrivana]

TBH I don't know how to approach reviewing this. Actually going through all existing test cases, understanding what they're testing, and then comparing with the end result would take a long time.

If you already did that work, I'm willing to stamp this because I trust your judgment.

But in general, I'm wary of these test compacting changes. I don't know if a slight speedup is worth it compared to making the tests less structured and harder to understand. Maybe it is! But the problem is, while the speedup is easily measurable, the quality of the test cases themselves isn't (coverage is just part of the story). So I can just go by what I know about our human vs AI written/assisted test cases, which is that I'd pick human-written test cases over AI anytime.