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