Krzysztof kuhy Rudnicki
a8d873b4fd
Running one directory (EADS) had already produced four bugs, so all of them
were run. 11 failed. Every one was real -- either in the coursework or in the
harness I had just written -- and the split was roughly even.
Coursework bugs:
- 15 .tex files use Polish ogonek characters with no fontenc, so pdflatex
dies with "Command \k unavailable in encoding OT1". Fixed where it was
actually needed, not blanket-applied.
- BSS had \documentclass{article}[12pt] -- options after the class name,
where they are not options at all.
- SDM's beamer deck had a stray } on an \item, which took out the frame.
- EOOP/Various/currency included "currency2.hpp"; the file is currency.hpp.
- ECRYPT_PROJECT had the SAME stdlib-shadowing bug as ECOTE: a package named
code/. Renamed to sieve/, and its 99 tests now run. With ECOTE's 26 that
is 125 tests that could not execute at all before today.
Harness bugs, which the run is what exposed:
- COURSE_ENTRY pointed at directories for PORR and ECRYPT_PROJECT, so python
looked for __main__.py and reported the wrong problem.
- main.py was auto-picked via find's first result. EARIN has six labs and
six main.py files, so that ran an arbitrary lab and called it the course.
Now only auto-picked when exactly one exists.
- Only the first requirements.txt was installed, which is why EARIN still
died on gymnasium after a venv was created for it. All of them now.
- The notebook probe accepted jupyter being on PATH. This machine's jupyter
is a pipx shim whose interpreter is gone, so "runnable" was a lie; it now
invokes jupyter --version and PBAD/twm_4 report blocked, honestly.
- Nothing ran a course's tests. Where a suite exists it is now the check,
which matters most for ECRYPT_PROJECT, whose program prompts on stdin and
cannot be run headlessly at all.
- Which directory pytest runs from is course-specific and unguessable, so
stubs pass --test-dir: ECOTE needs program/ for imports, ECRYPT_PROJECT
needs sieve/ because its fixtures open a CSV by relative path.
gates/known-incomplete.txt records the one file that genuinely cannot build:
EOOP/Various/set/set.cpp includes set.hpp, which `git log --all` shows has
never existed here. The course supplied it and only the .cpp was submitted.
That is a factual record with a stated check, not a lint allowlist -- and
fabricating the header would be inventing coursework.
Status is now 36 runnable / 5 no-code / 3 blocked.
Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_0172dj34FDpao6wsix8ZuCzE
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| .. | ||
| analytics | ||
| backend | ||
| connector | ||
| database | ||
| docs | ||
| frontend | ||
| movie_recommendations | ||
| nginx | ||
| test_scripts | ||
| .gitignore | ||
| docker-compose.yml | ||
| Dockerfile | ||
| README.md | ||
| run.sh | ||
Projekt z ERSMS
Backend
budowanie i uruchamianie obrazu z bazą danych oraz serwerem:
docker compose up
w przypadku zmian w bazie danych, usunąć kontener oraz dołączone do niego volumy
stronka administracyjna do bazy danych
Najpierw wpisujemy w przeglądarce http://localhost:8080/ Przy logowaniu wpisujemy:
- login - admin@admin.com
- hasło - admin
Po zalogowaniu się poraz pierwszy od zbudowania obrazu, widzimy stronę główną. Klikamy na niej duży przycisk "Add New Server" i pojawia się okienko z menu dodawania serwera.
W nazwie można napisać cokolwiek, jednak w zakładce "Connection" piszemy następujące rzeczy:
- host name - db
- login - root
- password - root
Reszta pozostaje jak była. Po zapisaniu ustawień, mamy już dostęp do narzędzi administratora dla naszej bazy danych.
gadanie z endpointami
GET http://localhost:8090/ - testowy domowy
GET http://localhost:8090//api/v3/get/string:username - info o userach
GET http://localhost:8090//api/v3/get_movie/int:movie_ID - info o filmie
POST http://localhost:8090/api/v3/add/string:oauth_ID/string:username - dodawanie usera
POST http://localhost:8090/api/v3/add/string:oauth_ID/string:movie_ID/int:rating - dodawanie oceny do filmu przez usera
GET http://localhost:8090/api/v3/ai/string:oauth_ID - wyciąganie rekomendacji od AI