TR - Verilen kullaniciya ait entryleri csv dosyasina dump edin, arsivleyin. Data-set olusturmak ya da yedek almak icin ideal.

EN - Dump, archive all entries to a csv file for given username. Ideal for creating data-sets or backups.

 ______ _        _ _____                                  
|  ____| |      (_)  __ \                                 
| |__  | | _____ _| |  | |_   _ _ __ ___  _ __   ___ _ __ 
|  __| | |/ / __| | |  | | | | | '_ ` _ \| '_ \ / _ \ '__|
| |____|   <\__ \ | |__| | |_| | | | | | | |_) |  __/ |   
|______|_|\_\___/_|_____/ \__,_|_| |_| |_| .__/ \___|_|   
                                         | |              
                                         |_|              

Turkce

English

• Verilen kullanicinin tum entrylerini aktarabilir.
• Verilen basliktaki tum entryleri aktarabilir.

0- Ana klasore gelin.

1- Gereklilikleri yukleyin. Size bagli olarak pip yerine pip3 yazmak zorunda olabilirsiniz.

pip install -r requirements.txt

2- Komut satirindan scripti, ilk argumani kullanici adi olacak sekilde baslatin. Eger kullanici adi birden cok kelimeden olusuyorsa bosluk yerine - karakteri kullanin.

python3 main.py <KULLANICIADI>
python3 main.py foo

ya da

python3 main.py <COK-KELIMELI-KULLANICI-ADI> 
python3 main.py foo-bar

3- Scriptin bitmesini bekleyin. Dosyalar dumps klasoru altinda olacaktir.

Bilgisayariniza ve internetinize bagli olmakla birlikte, script yaklasik olarak 120 entry/dakika hizinda calisir.

Ornek ciktilar icin dumps klasorune ya da resimlere bakabilirsiniz.

1- Repo'yu forklayin.

2- Gelistirin.

3- Pull request olusturun.

• Can dump entries for a given user
• Can dump entries for a given topic

0- Navigate to base folder.

1- Install requirements. Note that you might need to use pip3 instead of pip

pip -r requirements.txt

2- Start main script from command line. With the username as the first argument. If username contains multiple words, use - instead of space.

python3 main.py <USERNAME>
python3 main.py foo

or

python3 main.py <USER-NAME-WITH-WORDS> 
python3 main.py foo-bar

3- Wait for script to finish. The files will be under dumps directory.

Depending on your computer and network, the script usually takes about 120 entries/minute.

For example outputs, you can check dumps directory or images.

1- Fork the repository.

2- Develop.

3- Create a pull request.