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README.md
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README.md
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# Ankimaker
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WIP
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A CLI app to generate anki decks.
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From csv file, with configurable parameters, filters and media.
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Flashcards are a great tool for accelerating language learning.
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You can choose one from the many databases out there, developed
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by teachers and very conscientious people. It would be even better
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it is easy to create new flashcards to satisfy personalized needs.
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For instance, generating flashcards from your bookmarked words in
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google translator or dictionary add-on on your browser
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would be much more effective because you would focus in the words
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you actually are not familiar with including the ones that are more
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frequent in your professional or hobby contexts than in default
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common language use.
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From epub, finding difficult* words in the book and getting their translations.
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# Usage
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*I still don't know what 'difficult' will mean. Probably difficult words will be less frequent words that are more frequent in the text than in some corpus, cut above a grade threshold. The grades will map percentiles of frequency.
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## csv
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| Language Level | Number of Base Words Needed |
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| ----- | ------ |
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| A1 | 500|
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| A2 | 1000|
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| B1 | 2000|
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| B2 | 4000|
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| C1 | 8000|
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| C2 | 16000|
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From csv file, with configurable parameters and
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(media to be supported in the future).
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```bash
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ankimaker csv -i file.csv -o deck.apkg --conf conf.yaml
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```
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#### Configuration File
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The configuration file required to convert csv can be
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generated manually or interactively with the following command:
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```bash
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ankimaker make-csv-config -i sample-input.csv -o custon-conf.yaml
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```
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If you want to create the configuration manually, see instruction
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in `Manually create configuration file` section.
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## Manually create configuration file
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```yaml
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AnkimakerConfig:
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header:
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question_column: 'original'
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answer_column: 'translation'
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separators: \t
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filters:
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- - column: 'original language'
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values: Chinese
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- column: 'translation language'
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values: English
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- - column: 'original language'
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values: English
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- column: 'translation language'
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values: Chinese
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```
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Explaining the fields:
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* **header**: Row index to be used as column. Use null
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if nonexistent or just don't insert this field.
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* **question_column**: Name or index of column to be used as question.
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* **answer_column**: Name or index of the columns containing the answers. . Use null
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if nonexistent or just don't insert this field.
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* **separators**: Select the character that separates cells in your csv.
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* **filters**: This is a list of groups that will be present in your
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final deck. Each group is defined by a list of rules that must be fulfilled
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so the row will be part of the group. For instance, the following filter
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would keep only the rows whose 'original language' column value
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is Chinese.
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```yaml
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filters:
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- - column: 'original language'
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values: Chinese
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```
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This other filer would keep only the rows that 'original language'
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column is Chinese and 'translation language' column value is
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any of English or French.
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```yaml
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filters:
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- - column: 'original language'
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values: Chinese
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- column: 'translation language'
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values: [English, French]
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```
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The logic of the groups is that any row satisfying at least
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one group's rule will be present in the final deck. In short,
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they're reduced with `or` logic. In the example bellow any row
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that has 'original language' column value Chinese and any roll
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that has 'translation language' column value English will be
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in the final deck.
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```yaml
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filters:
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- - column: 'original language'
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values: Chinese
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- - column: 'translation language'
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values: English
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```
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* * *
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This project is only possible because of the awesome work of genanki team.
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