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new version, sqlite, MIT, new db from MI

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README.md
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# db-prawo-jazdy
### Slightly modified version of [prawo-jazdy-resources](https://git.mandarynki.eu/maciej/prawo-jazdy-resources) by [maciej](https://git.mandarynki.eu/maciej), to suit the needs of [nuxt-prawo-jazdy](https://git.mandarynki.eu/netman/nuxt-prawo-jazdy)
### Based on [prawo-jazdy-resources](https://git.mandarynki.eu/maciej/prawo-jazdy-resources) by [maciej](https://git.mandarynki.eu/maciej), to better suit the needs of [nuxt-prawo-jazdy](https://git.mandarynki.eu/netman/nuxt-prawo-jazdy)
### Files summary
`main.py` is an _extremely_ badly-written script that reads files (`pytania.csv` and `punkty.csv`) shared by the Ministry of Infrastructure and imports them into a postgresql database
`main.py` is a script that reads the file `pytania_z_punktacja_11_2025.csv` (it may change, depending on the age of the file and its outdatedness, but also sometimes the lack of [point value](placeholder_for_blog_post) ==> (blog post about such shenanigans in the future)) and imports it/them into a SQLite database file
- `db/pytania.csv` is the `katalog_pytania_egzminacyjne_kandydat__14112024.xlsx` file from [here](https://www.gov.pl/web/infrastruktura/prawo-jazdy)
- `db/punkty.csv` isn't published by the Ministry, so you have to send a public information request to acquire it - we have received an XLSX
both of them are converted to CSV
- `database.db` SQLite file filled with data from the file above
- `pytania_z_punktacja_11_2025.csv` is the `pytania_egzaminacyjne_na_kierowcę_2025.xlsx` file converted to CSV (string delimiter `;`) from the website of the Polish Ministry of Infrastructure [here](https://www.gov.pl/attachment/a6fac2fd-8e2d-415b-8e65-49f903f8e433) - now the new file displayed at the main [driver's license page]() doesn't contain the point value as opposed to the one provided above, [in that case a writing to the Ministry is needed, asking for the public information of that value for each question](placeholder_for_blog_post) ==> (blog post about such shenanigans in the future)
# Requirements
- postgres server
- python3
- packages from requirements.txt (`pip install -r requirements.txt`)
- files above (either already CSV'd from this repo or converted by yourself from official, most probably fresher sources)
- tqdm
## Running
Just run `python main.py` IN THE SAME DIRECTORY AS THE SCRIPT IS LOCATED IN.
- If needed, modify the CSV file name inside the script AND SET THE ROWS ACCORDINGLY.
- Also check if your CSV file has a header on its first row, the file provided in this repository does have one, hence the `next(reader)` command which skips the first row. If your script doesn't have such header, comment these lines out.
- If your CSV does not contain point values, contact the Ministry and get pairs of question IDs and their point values in CSV, then comment the lines below `## COMMENT OUT BELOW...` and above `## COMMENT OUT ABOVE`, and uncomment the lines below `## UNCOMMENT BELOW` and above `## UNCOMMENT ABOVE`
- Set rows accordingly.
- Also check if your point value CSV file has a header on its first row, the file provided in this repository does have one, hence the `next(reader)` command which skips the first row. If your script doesn't have such header, comment these lines out.
### Database structure
```sql
CREATE TABLE IF NOT EXISTS tasks (
id integer NOT NULL,
correct_answer character(5),
media_url text,
weight smallint
id INTEGER,
correct_answer TEXT,
media_url TEXT,
weight INTEGER
);
CREATE TABLE IF NOT EXISTS questions (
task_id integer,
lang character(2),
text text
task_id INTEGER,
lang TEXT,
text TEXT
);
CREATE TABLE IF NOT EXISTS tasks_advanced (
id integer NOT NULL,
correct_answer character(1),
media_url text,
weight smallint
id INTEGER,
correct_answer TEXT,
media_url TEXT,
weight INTEGER
);
CREATE TABLE IF NOT EXISTS questions_advanced (
task_id integer,
lang character(2),
text text,
answer_a text,
answer_b text,
answer_c text
task_id INTEGER,
lang TEXT,
text TEXT,
answer_a TEXT,
answer_b TEXT,
answer_c TEXT
);
CREATE TABLE IF NOT EXISTS categories (
name text,
task_id integer
name TEXT,
task_id INTEGER
);
```
## Criteria
Categories are as such:
Categories:
- A
- B
- C
- D
- T
- AM
- A1
- A2
- A
- B1
- B
- C1
- C
- D1
- D
- T
- PT
Languages as such:
- PL
- EN
- UA
- DE
- UA
# Basic tasks query
@ -88,7 +91,12 @@ According to the Ministry of Infrastructure, in an exam there are (basic):
- 6 questions for 2 points
- 10 questions for 3 points
so NO_OF_QUESTIONS and WEIGHT_OF_QUESTIONS should be set accordingly to the requirements above (and of course set category & lang to your liking)
Set below values accordingly to the requirements above or to your liking:
- NO_OF_QUESTIONS
- WEIGHT_OF_QUESTIONS
- LANG
- CATEGORY
```sql
SELECT
@ -101,8 +109,8 @@ FROM tasks
LEFT JOIN questions ON tasks.id = questions.task_id
LEFT JOIN categories ON tasks.id = categories.task_id
WHERE
categories.name = 'B' AND
questions.lang = 'PL' AND
categories.name = CATEGORY AND
questions.lang = LANG AND
tasks.weight = WEIGHT_OF_QUESTIONS
ORDER BY random()
LIMIT (NO_OF_QUESTIONS);
@ -116,7 +124,12 @@ According to the Ministry of Infrastructure, in an exam there are (advanced):
- 4 questions for 2 points
- 6 questions for 3 points
so NO_OF_QUESTIONS and WEIGHT_OF_QUESTIONS should be set accordingly to the requirements above (and of course set category & lang to your liking)
Set below values accordingly to the requirements above or to your liking:
- NO_OF_QUESTIONS
- WEIGHT_OF_QUESTIONS
- LANG
- CATEGORY
```sql
SELECT
@ -132,8 +145,8 @@ FROM tasks_advanced
LEFT JOIN questions_advanced ON tasks_advanced.id = questions_advanced.task_id
LEFT JOIN categories ON tasks_advanced.id = categories.task_id
WHERE
categories.name = 'B' AND
questions_advanced.lang = 'PL' AND
categories.name = CATEGORY AND
questions_advanced.lang = LANG AND
tasks_advanced.weight = WEIGHT_OF_QUESTIONS
ORDER BY random()
LIMIT (NO_OF_QUESTIONS);

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main.py
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import csv, psycopg2, pwinput
import csv
from tqdm import tqdm
import sqlite3
host = input('host: ')
user = input('user: ')
password = pwinput.pwinput(prompt='password: ')
dbname = input('dbname: ')
port = int(input('port: '))
conn = psycopg2.connect(host=host, user=user, password=password, dbname=dbname, port=port)
conn = sqlite3.connect('./database.db')
cur = conn.cursor()
cur.execute('CREATE TABLE IF NOT EXISTS tasks (id integer NOT NULL, correct_answer character(5), media_url text, weight smallint);')
cur.execute('CREATE TABLE IF NOT EXISTS questions (task_id integer, lang character(2), text text);')
cur.execute('CREATE TABLE IF NOT EXISTS tasks_advanced (id integer NOT NULL, correct_answer character(1), media_url text, weight smallint);')
cur.execute('CREATE TABLE IF NOT EXISTS questions_advanced (task_id integer, lang character(2), text text, answer_a text, answer_b text, answer_c text);')
cur.execute('CREATE TABLE IF NOT EXISTS categories (name text, task_id integer);')
cur.execute('CREATE TABLE IF NOT EXISTS tasks (id INTEGER, correct_answer TEXT, media_url TEXT, weight INTEGER);')
cur.execute('CREATE TABLE IF NOT EXISTS questions (task_id INTEGER, lang TEXT, text TEXT);')
cur.execute('CREATE TABLE IF NOT EXISTS tasks_advanced (id INTEGER, correct_answer TEXT, media_url TEXT, weight INTEGER);')
cur.execute('CREATE TABLE IF NOT EXISTS questions_advanced (task_id INTEGER, lang TEXT, text TEXT, answer_a TEXT, answer_b TEXT, answer_c TEXT);')
cur.execute('CREATE TABLE IF NOT EXISTS categories (name TEXT, task_id INTEGER);')
cur.execute('TRUNCATE TABLE tasks;')
cur.execute('TRUNCATE TABLE questions;')
cur.execute('TRUNCATE TABLE categories;')
cur.execute('TRUNCATE TABLE tasks_advanced;')
cur.execute('TRUNCATE TABLE questions_advanced;')
cur.execute('DELETE FROM tasks;')
cur.execute('DELETE FROM questions;')
cur.execute('DELETE FROM categories;')
cur.execute('DELETE FROM tasks_advanced;')
cur.execute('DELETE FROM questions_advanced;')
with open('pytania.csv') as file:
with open('./pytania_z_punktacja_11_2025.csv') as file:
reader = csv.reader(file, delimiter=';')
next(reader)
for row in tqdm(reader):
numer = row[0]
pytanie_pl = row[1]
odp_a_pl = row[2]
odp_b_pl = row[3]
odp_c_pl = row[4]
poprawna_odp = row[5]
media = row[6]
kategorie = row[7]
pjm_pytanie = row[8]
pjm_odp_a = row[9]
pjm_odp_b = row[10]
pjm_odp_c = row[11]
pytanie_en = row[12]
odp_a_en = row[13]
odp_b_en = row[14]
odp_c_en = row[15]
pytanie_de = row[16]
odp_a_de = row[17]
odp_b_de = row[18]
odp_c_de = row[19]
pytanie_ua = row[20]
odp_a_ua = row[21]
odp_b_ua = row[22]
odp_c_ua = row[23]
numer = row[1]
pytanie_pl = row[2]
odp_a_pl = row[3]
odp_b_pl = row[4]
odp_c_pl = row[5]
poprawna_odp = row[6]
media = row[7]
pkt = row[9]
kategorie = row[10]
# pjm_pytanie = row[11]
# pjm_odp_a = row[12]
# pjm_odp_b = row[13]
# pjm_odp_c = row[14]
pytanie_en = row[15]
odp_a_en = row[16]
odp_b_en = row[17]
odp_c_en = row[18]
pytanie_de = row[19]
odp_a_de = row[20]
odp_b_de = row[21]
odp_c_de = row[22]
pytanie_ua = row[23]
odp_a_ua = row[24]
odp_b_ua = row[25]
odp_c_ua = row[26]
categories = kategorie.split(',')
task_id = int(numer)
if numer and pytanie_pl and poprawna_odp and kategorie and not odp_a_pl and not odp_b_pl and not odp_c_pl:
if poprawna_odp == 'Tak':
correct_answer = 'true'
elif poprawna_odp == 'Nie':
correct_answer = 'false'
if poprawna_odp == 'T':
correct_answer = "true"
elif poprawna_odp == 'N':
correct_answer = "false"
else:
raise Exception('Error, an answer to a basic question does not equal "Tak" or "Nie", check the pytania.csv file for anomaly in poprawna_odp section')
raise Exception(f'Wystąpił problem, odpowiedź dla pytania {numer} jest niejasna. Poprawna odpowiedź to {poprawna_odp}...')
cur.execute('INSERT INTO tasks (id, correct_answer, media_url) VALUES (%s, %s, %s)',
cur.execute('INSERT INTO tasks (id, correct_answer, media_url) VALUES (?, ?, ?)',
(task_id, correct_answer, media))
cur.execute('INSERT INTO questions(task_id, lang, text) VALUES (%s, %s, %s)',
cur.execute('INSERT INTO questions(task_id, lang, text) VALUES (?, ?, ?)',
(task_id, 'PL', pytanie_pl))
if pytanie_en:
cur.execute('INSERT INTO questions(task_id, lang, text) VALUES (%s, %s, %s)',
cur.execute('INSERT INTO questions(task_id, lang, text) VALUES (?, ?, ?)',
(task_id, 'EN', pytanie_en))
if pytanie_de:
cur.execute('INSERT INTO questions(task_id, lang, text) VALUES (%s, %s, %s)',
cur.execute('INSERT INTO questions(task_id, lang, text) VALUES (?, ?, ?)',
(task_id, 'DE', pytanie_de))
if pytanie_ua:
cur.execute('INSERT INTO questions(task_id, lang, text) VALUES (%s, %s, %s)',
cur.execute('INSERT INTO questions(task_id, lang, text) VALUES (?, ?, ?)',
(task_id, 'UA', pytanie_ua))
if numer and pytanie_pl and poprawna_odp and kategorie and odp_a_pl and odp_b_pl and odp_c_pl:
cur.execute('INSERT INTO tasks_advanced(id, correct_answer, media_url) VALUES (%s, %s, %s)',
cur.execute('INSERT INTO tasks_advanced(id, correct_answer, media_url) VALUES (?, ?, ?)',
(task_id, poprawna_odp, media))
cur.execute('INSERT INTO questions_advanced(task_id, lang, text, answer_a, answer_b, answer_c) VALUES (%s, %s, %s, %s, %s, %s)',
cur.execute('INSERT INTO questions_advanced(task_id, lang, text, answer_a, answer_b, answer_c) VALUES (?, ?, ?, ?, ?, ?)',
(task_id, 'PL', pytanie_pl, odp_a_pl, odp_b_pl, odp_c_pl))
if odp_a_en and odp_b_en and odp_c_en:
cur.execute('INSERT INTO questions_advanced(task_id, lang, text, answer_a, answer_b, answer_c) VALUES (%s, %s, %s, %s, %s, %s)',
cur.execute('INSERT INTO questions_advanced(task_id, lang, text, answer_a, answer_b, answer_c) VALUES (?, ?, ?, ?, ?, ?)',
(task_id, 'EN', pytanie_en, odp_a_en, odp_b_en, odp_c_en))
if odp_a_de and odp_b_de and odp_c_de:
cur.execute('INSERT INTO questions_advanced(task_id, lang, text, answer_a, answer_b, answer_c) VALUES (%s, %s, %s, %s, %s, %s)',
cur.execute('INSERT INTO questions_advanced(task_id, lang, text, answer_a, answer_b, answer_c) VALUES (?, ?, ?, ?, ?, ?)',
(task_id, 'DE', pytanie_de, odp_a_de, odp_b_de, odp_c_de))
if odp_a_ua and odp_b_ua and odp_c_ua:
cur.execute('INSERT INTO questions_advanced(task_id, lang, text, answer_a, answer_b, answer_c) VALUES (%s, %s, %s, %s, %s, %s)',
cur.execute('INSERT INTO questions_advanced(task_id, lang, text, answer_a, answer_b, answer_c) VALUES (?, ?, ?, ?, ?, ?)',
(task_id, 'UA', pytanie_ua, odp_a_ua, odp_b_ua, odp_c_ua))
for category in categories:
cur.execute('INSERT INTO categories(name, task_id) VALUES (%s, %s)',
cur.execute('INSERT INTO categories(name, task_id) VALUES (?, ?)',
(category, task_id))
## COMMENT OUT BELOW IF POINT VALUES ARE NOT IN YOUR CSV
if numer and pytanie_pl and poprawna_odp and kategorie:
cur.execute('UPDATE tasks SET weight=? WHERE id=?', (pkt, numer))
cur.execute('UPDATE tasks_advanced SET weight=? WHERE id=?', (pkt, numer))
## COMMENT OUT ABOVE IF POINT VALUES ARE NOT IN YOUR CSV
with open('punkty.csv') as file:
reader = csv.reader(file, delimiter=';')
for row in tqdm(reader):
numer = int(row[0])
punkty = int(row[1])
cur.execute('UPDATE tasks SET weight=%s WHERE id=%s', (punkty, numer))
cur.execute('UPDATE tasks_advanced SET weight=%s WHERE id=%s', (punkty, numer))
## UNCOMMENT BELOW IF POINT VALUES ARE IN ANOTHER CSV
# with open('punkty.csv') as file:
# reader = csv.reader(file, delimiter=';')
# next(reader)
# for row in tqdm(reader):
# numer = int(row[0])
# punkty = int(row[1])
# cur.execute('UPDATE tasks SET weight=? WHERE id=?', (punkty, numer))
# cur.execute('UPDATE tasks_advanced SET weight=? WHERE id=?', (punkty, numer))
## UNCOMMENT BELOW IF POINT VALUES ARE IN ANOTHER CSV
cur.execute('SELECT COUNT(id) FROM tasks')

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requirements.txt
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@ -1,4 +1 @@
tqdm
psycopg2-binary
pwinput
csv
tqdm