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Union[pd.DataFrame, List[Dict[Hashable, Any]]] | _transform (self, pd.DataFrame df, bool fastapi_output, **Any kwargs) |
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Implements the transformer function for darktable tags to mysql tags
◆ __create_main_translation()
Dict[str, str] albums.DtdataAlbums.__create_main_translation |
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"DatabaseTable" |
dest_tbl | ) |
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staticprivate |
Load the existing tags translations from the mysql database and return them as a
translation dictionary
This function is a special case for the albums transformer, as it needs the actual
content of the tags table to create the album names. The function resets the
filter arguments before and after the function call to ensure that the filter
arguments of the original table are not modified.
◆ _transform()
Union[pd.DataFrame, List[Dict[Hashable, Any]]] albums.DtdataAlbums._transform |
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self, |
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pd.DataFrame |
df, |
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bool |
fastapi_output, |
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**Any
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kwargs |
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protected |
Transforms the original tags table from darktable into an albums table
which only includes album tags and different columns than tags itself
The transformation process is as follows:
1. Take the original tags table from darktable
2. Split the name field in a hierarchy list of the primary language
3. Split the synonym string in its parts: yes we could have taken pd.DataFrame.str.split,
but then all separators ,must be present
4. we need to copy the primary language name to secondary language name in case not exists
5. Create the tranmslation dictionary between primary and secondary language; we need
to create new translations and then merge them with the existing ones
6. Map the translations for each hierarchy level to create the translated hierarchy list
7. Join the translated hierarchy lists with the separator given in config.py
The documentation for this class was generated from the following file: