forked from maciej/prawo-jazdy-resources
new version, sqlite, MIT, new db from MI
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101
README.md
101
README.md
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@ -1,84 +1,87 @@
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# db-prawo-jazdy
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# db-prawo-jazdy
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### 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)
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### 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)
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### Files summary
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### Files summary
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`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
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`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
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- `db/pytania.csv` is the `katalog_pytania_egzminacyjne_kandydat__14112024.xlsx` file from [here](https://www.gov.pl/web/infrastruktura/prawo-jazdy)
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- `database.db` SQLite file filled with data from the file above
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- `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
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- `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)
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both of them are converted to CSV
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# Requirements
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# Requirements
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- postgres server
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- python3
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- python3
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- packages from requirements.txt (`pip install -r requirements.txt`)
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- tqdm
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- files above (either already CSV'd from this repo or converted by yourself from official, most probably fresher sources)
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## Running
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Just run `python main.py` IN THE SAME DIRECTORY AS THE SCRIPT IS LOCATED IN.
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- If needed, modify the CSV file name inside the script AND SET THE ROWS ACCORDINGLY.
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- 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.
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- 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`
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- Set rows accordingly.
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- 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.
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### Database structure
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### Database structure
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```sql
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```sql
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CREATE TABLE IF NOT EXISTS tasks (
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CREATE TABLE IF NOT EXISTS tasks (
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id integer NOT NULL,
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id INTEGER,
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correct_answer character(5),
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correct_answer TEXT,
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media_url text,
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media_url TEXT,
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weight smallint
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weight INTEGER
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);
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);
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CREATE TABLE IF NOT EXISTS questions (
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CREATE TABLE IF NOT EXISTS questions (
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task_id integer,
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task_id INTEGER,
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lang character(2),
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lang TEXT,
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text text
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text TEXT
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);
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);
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CREATE TABLE IF NOT EXISTS tasks_advanced (
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CREATE TABLE IF NOT EXISTS tasks_advanced (
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id integer NOT NULL,
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id INTEGER,
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correct_answer character(1),
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correct_answer TEXT,
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media_url text,
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media_url TEXT,
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weight smallint
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weight INTEGER
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);
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);
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CREATE TABLE IF NOT EXISTS questions_advanced (
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CREATE TABLE IF NOT EXISTS questions_advanced (
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task_id integer,
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task_id INTEGER,
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lang character(2),
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lang TEXT,
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text text,
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text TEXT,
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answer_a text,
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answer_a TEXT,
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answer_b text,
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answer_b TEXT,
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answer_c text
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answer_c TEXT
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);
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);
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CREATE TABLE IF NOT EXISTS categories (
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CREATE TABLE IF NOT EXISTS categories (
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name text,
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name TEXT,
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task_id integer
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task_id INTEGER
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);
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);
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```
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```
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## Criteria
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## Criteria
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Categories are as such:
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Categories:
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- A
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- B
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- C
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- D
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- T
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- AM
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- AM
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- A1
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- A1
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- A2
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- A2
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- A
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- B1
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- B1
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- B
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- C1
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- C1
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- C
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- D1
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- D1
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- D
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- T
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- PT
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- PT
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Languages as such:
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Languages as such:
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- PL
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- PL
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- EN
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- EN
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- UA
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- DE
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- DE
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- UA
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# Basic tasks query
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# Basic tasks query
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@ -88,7 +91,12 @@ According to the Ministry of Infrastructure, in an exam there are (basic):
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- 6 questions for 2 points
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- 6 questions for 2 points
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- 10 questions for 3 points
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- 10 questions for 3 points
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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)
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Set below values accordingly to the requirements above or to your liking:
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- NO_OF_QUESTIONS
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- WEIGHT_OF_QUESTIONS
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- LANG
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- CATEGORY
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```sql
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```sql
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SELECT
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SELECT
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@ -101,8 +109,8 @@ FROM tasks
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LEFT JOIN questions ON tasks.id = questions.task_id
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LEFT JOIN questions ON tasks.id = questions.task_id
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LEFT JOIN categories ON tasks.id = categories.task_id
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LEFT JOIN categories ON tasks.id = categories.task_id
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WHERE
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WHERE
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categories.name = 'B' AND
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categories.name = CATEGORY AND
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questions.lang = 'PL' AND
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questions.lang = LANG AND
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tasks.weight = WEIGHT_OF_QUESTIONS
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tasks.weight = WEIGHT_OF_QUESTIONS
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ORDER BY random()
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ORDER BY random()
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LIMIT (NO_OF_QUESTIONS);
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LIMIT (NO_OF_QUESTIONS);
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@ -116,7 +124,12 @@ According to the Ministry of Infrastructure, in an exam there are (advanced):
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- 4 questions for 2 points
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- 4 questions for 2 points
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||||||
- 6 questions for 3 points
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- 6 questions for 3 points
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||||||
|
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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)
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Set below values accordingly to the requirements above or to your liking:
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|
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- NO_OF_QUESTIONS
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||||||
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- WEIGHT_OF_QUESTIONS
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||||||
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- LANG
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- CATEGORY
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```sql
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```sql
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SELECT
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SELECT
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@ -132,8 +145,8 @@ FROM tasks_advanced
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LEFT JOIN questions_advanced ON tasks_advanced.id = questions_advanced.task_id
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LEFT JOIN questions_advanced ON tasks_advanced.id = questions_advanced.task_id
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||||||
LEFT JOIN categories ON tasks_advanced.id = categories.task_id
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LEFT JOIN categories ON tasks_advanced.id = categories.task_id
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WHERE
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WHERE
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categories.name = 'B' AND
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categories.name = CATEGORY AND
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questions_advanced.lang = 'PL' AND
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questions_advanced.lang = LANG AND
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tasks_advanced.weight = WEIGHT_OF_QUESTIONS
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tasks_advanced.weight = WEIGHT_OF_QUESTIONS
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ORDER BY random()
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ORDER BY random()
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LIMIT (NO_OF_QUESTIONS);
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LIMIT (NO_OF_QUESTIONS);
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|
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BIN
database.db
Normal file
BIN
database.db
Normal file
Binary file not shown.
139
main.py
139
main.py
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@ -1,113 +1,120 @@
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import csv, psycopg2, pwinput
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import csv
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from tqdm import tqdm
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from tqdm import tqdm
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import sqlite3
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host = input('host: ')
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conn = sqlite3.connect('./database.db')
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user = input('user: ')
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password = pwinput.pwinput(prompt='password: ')
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dbname = input('dbname: ')
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port = int(input('port: '))
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conn = psycopg2.connect(host=host, user=user, password=password, dbname=dbname, port=port)
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cur = conn.cursor()
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cur = conn.cursor()
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|
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cur.execute('CREATE TABLE IF NOT EXISTS tasks (id integer NOT NULL, correct_answer character(5), media_url text, weight smallint);')
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cur.execute('CREATE TABLE IF NOT EXISTS tasks (id INTEGER, correct_answer TEXT, media_url TEXT, weight INTEGER);')
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||||||
cur.execute('CREATE TABLE IF NOT EXISTS questions (task_id integer, lang character(2), text text);')
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cur.execute('CREATE TABLE IF NOT EXISTS questions (task_id INTEGER, lang TEXT, text TEXT);')
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cur.execute('CREATE TABLE IF NOT EXISTS tasks_advanced (id integer NOT NULL, correct_answer character(1), media_url text, weight smallint);')
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cur.execute('CREATE TABLE IF NOT EXISTS tasks_advanced (id INTEGER, correct_answer TEXT, media_url TEXT, weight INTEGER);')
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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);')
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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);')
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cur.execute('CREATE TABLE IF NOT EXISTS categories (name text, task_id integer);')
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cur.execute('CREATE TABLE IF NOT EXISTS categories (name TEXT, task_id INTEGER);')
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|
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cur.execute('TRUNCATE TABLE tasks;')
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cur.execute('DELETE FROM tasks;')
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cur.execute('TRUNCATE TABLE questions;')
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cur.execute('DELETE FROM questions;')
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cur.execute('TRUNCATE TABLE categories;')
|
cur.execute('DELETE FROM categories;')
|
||||||
cur.execute('TRUNCATE TABLE tasks_advanced;')
|
cur.execute('DELETE FROM tasks_advanced;')
|
||||||
cur.execute('TRUNCATE TABLE questions_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=';')
|
reader = csv.reader(file, delimiter=';')
|
||||||
|
next(reader)
|
||||||
|
|
||||||
for row in tqdm(reader):
|
for row in tqdm(reader):
|
||||||
numer = row[0]
|
numer = row[1]
|
||||||
pytanie_pl = row[1]
|
pytanie_pl = row[2]
|
||||||
odp_a_pl = row[2]
|
odp_a_pl = row[3]
|
||||||
odp_b_pl = row[3]
|
odp_b_pl = row[4]
|
||||||
odp_c_pl = row[4]
|
odp_c_pl = row[5]
|
||||||
poprawna_odp = row[5]
|
poprawna_odp = row[6]
|
||||||
media = row[6]
|
media = row[7]
|
||||||
kategorie = row[7]
|
pkt = row[9]
|
||||||
pjm_pytanie = row[8]
|
kategorie = row[10]
|
||||||
pjm_odp_a = row[9]
|
# pjm_pytanie = row[11]
|
||||||
pjm_odp_b = row[10]
|
# pjm_odp_a = row[12]
|
||||||
pjm_odp_c = row[11]
|
# pjm_odp_b = row[13]
|
||||||
pytanie_en = row[12]
|
# pjm_odp_c = row[14]
|
||||||
odp_a_en = row[13]
|
pytanie_en = row[15]
|
||||||
odp_b_en = row[14]
|
odp_a_en = row[16]
|
||||||
odp_c_en = row[15]
|
odp_b_en = row[17]
|
||||||
pytanie_de = row[16]
|
odp_c_en = row[18]
|
||||||
odp_a_de = row[17]
|
pytanie_de = row[19]
|
||||||
odp_b_de = row[18]
|
odp_a_de = row[20]
|
||||||
odp_c_de = row[19]
|
odp_b_de = row[21]
|
||||||
pytanie_ua = row[20]
|
odp_c_de = row[22]
|
||||||
odp_a_ua = row[21]
|
pytanie_ua = row[23]
|
||||||
odp_b_ua = row[22]
|
odp_a_ua = row[24]
|
||||||
odp_c_ua = row[23]
|
odp_b_ua = row[25]
|
||||||
|
odp_c_ua = row[26]
|
||||||
|
|
||||||
categories = kategorie.split(',')
|
categories = kategorie.split(',')
|
||||||
task_id = int(numer)
|
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 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':
|
if poprawna_odp == 'T':
|
||||||
correct_answer = 'true'
|
correct_answer = "true"
|
||||||
elif poprawna_odp == 'Nie':
|
elif poprawna_odp == 'N':
|
||||||
correct_answer = 'false'
|
correct_answer = "false"
|
||||||
else:
|
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))
|
(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))
|
(task_id, 'PL', pytanie_pl))
|
||||||
|
|
||||||
if pytanie_en:
|
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))
|
(task_id, 'EN', pytanie_en))
|
||||||
if pytanie_de:
|
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))
|
(task_id, 'DE', pytanie_de))
|
||||||
if pytanie_ua:
|
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))
|
(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:
|
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))
|
(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))
|
(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:
|
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))
|
(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:
|
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))
|
(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:
|
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))
|
(task_id, 'UA', pytanie_ua, odp_a_ua, odp_b_ua, odp_c_ua))
|
||||||
|
|
||||||
for category in categories:
|
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))
|
(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=';')
|
## UNCOMMENT BELOW IF POINT VALUES ARE IN ANOTHER CSV
|
||||||
for row in tqdm(reader):
|
# with open('punkty.csv') as file:
|
||||||
numer = int(row[0])
|
# reader = csv.reader(file, delimiter=';')
|
||||||
punkty = int(row[1])
|
# next(reader)
|
||||||
cur.execute('UPDATE tasks SET weight=%s WHERE id=%s', (punkty, numer))
|
# for row in tqdm(reader):
|
||||||
cur.execute('UPDATE tasks_advanced SET weight=%s WHERE id=%s', (punkty, numer))
|
# 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')
|
cur.execute('SELECT COUNT(id) FROM tasks')
|
||||||
|
|
|
||||||
3392
punkty.csv
3392
punkty.csv
File diff suppressed because it is too large
Load diff
3573
pytania.csv
3573
pytania.csv
File diff suppressed because it is too large
Load diff
3579
pytania_z_punktacja_11_2025.csv
Normal file
3579
pytania_z_punktacja_11_2025.csv
Normal file
File diff suppressed because it is too large
Load diff
|
|
@ -1,4 +1 @@
|
||||||
tqdm
|
tqdm
|
||||||
psycopg2-binary
|
|
||||||
pwinput
|
|
||||||
csv
|
|
||||||
Loading…
Add table
Reference in a new issue