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## Implementation Notes
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This package works by creating a copy of the sqlite3 database that photos uses to store data about the photos library. The class PhotosDB then queries this database to extract information about the photos such as persons (faces identified in the photos), albums, keywords, etc. If your library is large, the database can be hundreds of MB in size and the copy read then can take many 10s of seconds to complete. Once copied, the entire database is processed and an in-memory data structure is created meaning all subsequent accesses of the PhotosDB object occur much more quickly.
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This package works by creating a copy of the sqlite3 database that photos uses to store data about the photos library. The class PhotosDB then queries this database to extract information about the photos such as persons (faces identified in the photos), albums, keywords, etc. If your library is large, the database can be hundreds of MB in size and the copy read then can take many 10s of seconds to complete. Once copied, the entire database is processed and an in-memory data structure is created meaning all subsequent accesses of the PhotosDB object occur much more quickly. The database processing code is rather ugly (though it works and is well tested). Were I to start this project today, I'd likely use something like SQLAlchemy to map Python objects to the underlying SQL database instead of the way osxphotos does things today.
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If apple changes the database format this will likely break.
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