156 ruff findings to 0. That takes the whole archive to 0, from 9,281.
Six of those findings were SQL injection, and they were the real ones. The
connector interpolated a username and an OAuth id straight out of the URL into
f-string SQL. With psycopg2 installed, the difference is not theoretical:
username = "x'; DROP TABLE users; --"
old: select * from users where username='x'; DROP TABLE users; --';
new: select * from users where username='x''; DROP TABLE users; --';
The old form is two statements and the second one runs. The new one is a
parameter, so the whole thing stays a string literal. Every query in that file
is parameterised now.
`get_recommendations` also called
`cursor.execute("... oauth_ID='{}'", oauth_ID)`, which is wrong twice over:
psycopg2 wants %s rather than {}, and its second argument must be a sequence,
not a bare string. That route could never have worked.
Ten blind `except Exception` handlers turned every programming error into a
500 with the message hidden. They are now the exceptions each block can
actually raise -- verified against the installed libraries, where
InvalidIdTokenError and ExpiredIdTokenError really are FirebaseError
subclasses -- and the handlers log a traceback instead of printing the
exception's str().
Three services bound `host="localhost"`. Each of them runs in a container with
a published port, on a compose bridge network, so binding loopback makes them
unreachable from both the host and their siblings. All four now read
ERSMS_HOST, which docker-compose sets to 0.0.0.0, and default to loopback when
run outside Docker. Flask's debug console executes arbitrary code, so that is
opt-in via FLASK_DEBUG too.
`movie_recommender.py` fitted the model at import: reading two CSVs and
building a 4803x4803 similarity matrix as a side effect of `import`. It failed
outright here, since the datasets are not committed. It is in `main()` now, and
the module imports cleanly. `error_decorator` was dead code that swallowed its
wrapped function's return value; it is gone.
Verified: all four modules import (the backend still needs its Firebase
credential JSON, which is not committed, exactly as before), the recommender's
helpers still pick the director out of a crew list, trim cast to three, fold
"Tom Hanks" to "tomhanks" and join a soup in the same order, and every route
parameter rename was matched by the URL rule it comes from.
Three of the four services are clean under mypy --strict. The backend keeps
four errors: flask-sqlalchemy builds `db.Model` dynamically, so `--strict`
refuses to subclass it. Migrating to a typed DeclarativeBase would rewrite both
models in an app that cannot be run here, so those four are reported in
TODO-refactor-remaining.md rather than hidden.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
kuhy overruled the "do not fix coursework to be better than it was submitted"
rule: git history is the archive, so the working tree can be clean. This lands
the config and the mechanical half of the cleanup -- 9,281 ruff findings under
the fleet config down to 3,686, with no per-file-ignores anywhere.
What is in here:
- pyproject.toml, the first one in this repo. select = ["ALL"], mypy strict,
and the vendored list mirrored into ruff exclude and coverage omit. Five
rules are off and each says why; CPY001 is the only judgement call, because
stamping a copyright header onto 137 university assignments would assert a
licence that was never claimed. No hook is wired up yet -- a gate lands only
once its subject is clean.
- ruff format + the safe fixes, then a second pass over the docstring rules
ruff marks unsafe (they only edit docstring text). 108 files.
- TRAK/sightpy is vendored, not coursework: it is rafael-fuente/Python-Raytracer
(BSD 3-Clause). Verified against a fresh upstream clone with line endings
normalised -- 30 of 32 files byte-identical, ray.py and scene.py carrying a
12- and 13-line local patch that counts rays for the report. 35 files that
should never have been linted, now excluded and restored.
- WDWR, SPD, MOM and ECRYPT are fully clean, by hand and verified by running
them: WDWR's three plot scripts print the same statistics as before, MOM's
PuLP model solves to the same cost. WDWR's graph.py had a 342-character CSV
header embedded as a string literal, which cannot be wrapped -- the data
moved to data/pareto_front.csv. Two 0-byte .py stubs are deleted; an empty
file is not a deliverable and git still has it.
Three harness bugs found by actually running things:
- `run` now forces MPLBACKEND=Agg. TRAK finished its ray trace in 37 seconds
and then sat for 45 minutes: plt.show() had opened an image viewer and was
waiting for someone to close the window.
- TRAK's main.py only pops that viewer with --show now, and its runner writes
to a gitignored build/ via the new --entry-args. The default output path is
outputs/output.png, which is TRACKED -- a plain run overwrote a submitted
deliverable.
- course_lib.sh was 357 lines, over this repo's own cap. Split into
course_probe.sh and course_run.sh.
Verified: ECOTE 26 tests pass, ECRYPT_PROJECT 99 pass, TRAK renders
cornell_box in 37s and exits 0, every module compiles, and every import ruff
removed was checked to be genuinely unused.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_0172dj34FDpao6wsix8ZuCzE
