Verify each finding against the current code and only fix it if needed.

Inline comments:
In `@lambda_function.py`:
- Around line 183-185: The code currently assumes
event_data.query_string_parameters is non-null when extracting apod_date, which
can raise if query params are absent; change the extraction to guard against
None by reading from a safe dict (e.g., use (event_data.query_string_parameters
or {}) or getattr(event_data, "query_string_parameters", {}) ) before calling
.get("someDate"), so apod_date is None (or a default) instead of raising; update
the lines referencing api_key and apod_date (the api_key assignment can remain)
and ensure any subsequent logic handles a None apod_date appropriately.
- Around line 169-173: The _validate_api_key method currently reads headers in a
case-sensitive and brittle way (received_key = self.event.get("headers",
{}).get("x-api-key")) which can fail if headers is None or the header casing
differs; normalize headers first by treating self.event.get("headers") as an
empty dict when missing, build a lowercase-keyed mapping (e.g., {k.lower(): v
for k,v in headers.items()}) and then lookup "x-api-key" from that normalized
dict when comparing to expected_key from
self.secrets_manager.secrets.get("LOGISTICS_API_GATEWAY_KEY"); update references
to received_key to use the normalized lookup so both missing headers and
different casings are handled robustly.
- Around line 80-82: The code currently injects traceback.format_exc() into
error_body when settings.lambda_log_level == "DEBUG", exposing internal stack
traces to callers; remove the assignment error_body["error"]["stacktrace"] =
traceback.format_exc() and instead log the full stacktrace server-side (e.g.,
logger.error("Unhandled error", exc_info=True) or similar) while keeping the API
response limited to safe error fields in error_body; ensure the conditional uses
settings.lambda_log_level only for logging decision and not for including stack
traces in the response.

In `@pyproject.toml`:
- Line 13: Remove "pytest>=8.0.0" from the main dependencies in pyproject.toml
and add it under the development dependencies section (e.g.,
[tool.poetry.dev-dependencies] or the project's dev extras) so tests aren’t
bundled into production builds; update any extras grouping (e.g., "dev") to
include pytest and run the recommended install command (uv pip install -e
".[dev]" or your project's equivalent) to verify the dev dependency is
installed.

In `@services/nasa.py`:
- Line 5: The import for HTTPError is using the wrong module; replace the
current import of HTTPError (from requests.models) with the canonical import
from requests.exceptions by updating the import line that references HTTPError
so it imports from requests.exceptions instead of requests.models; keep the same
symbol name HTTPError so existing code referencing HTTPError continues to work.

In `@tests/test_lambda_function.py`:
- Around line 46-49: Replace the placeholder test_placeholder with a focused
error-path unit test that simulates one failure scenario in the lambda
orchestration (e.g., invalid API key, secret init failure, NASA API failure, or
DB failure) by mocking the relevant dependency and invoking the lambda handler;
assert that the handler returns the expected ErrorType and corresponding
status/code and that any error-logging path is hit. Use the existing test file
tests/test_lambda_function.py, reference the test function name test_placeholder
to replace, and assert on ErrorType values and response codes for the chosen
failure path; repeat analogous tests for other failure cases (invalid API key,
secret init, NASA, DB) to cover the matrix if needed.
- Around line 38-40: The test currently asserts string containment against
response["body"]; instead parse the JSON and assert on the resulting object.
Replace the brittle self.assertIn("data", response["body"]) with parsing
response_body = json.loads(response["body"]) (import json at top if missing) and
then assertIn/assertEqual against response_body (e.g., self.assertIn("data",
response_body) or self.assertEqual(response_body["data"], ...)) so the test
checks parsed JSON rather than string content.

---

Nitpick comments:
In @.idea/vcs.xml:
- Around line 1-7: The .idea IDE config (VcsDirectoryMappings component with
mapping entries) should be removed from version control: add .idea/ to the
project .gitignore, delete the committed .idea files (including the
VcsDirectoryMappings/vcs mapping entries) from the repo index so they are no
longer tracked, and commit the .gitignore and removal. Ensure any team-shared
IDE settings that must remain are migrated to a dedicated, documented location
instead of committing the .idea directory.

In `@services/migrations.py`:
- Around line 17-37: In get_latest_migrations validate and bound the incoming
limit before using it in the query: ensure limit is an integer (coerce or raise
on bad types), clamp it to a safe range (e.g. min 1, max a MAX_MIGRATION_LIMIT
constant such as 100) and use the sanitized value in the logger message and the
DB query; update the function get_latest_migrations to perform this check at the
start (before with self.db_driver.transaction()) and raise/return a clear error
for invalid values so the database never receives an unbounded or non-integer
limit.

In `@services/nasa.py`:
- Line 7: The import NasaApiResponse is unused; either remove it or use it as
the function return type for get_astronomy_picture_of_the_day: update the
function signature to return NasaApiResponse, validate/parse the API JSON into a
NasaApiResponse instance (e.g., construct it from the response dict or use a
from_dict/validator), and update callers/types accordingly; if you choose
removal, simply delete the NasaApiResponse import from the top of the file.