7d65de1938
Compute Trigram similarity on user's name, and sum it up with existing one based on user's email. This approach is inspired by Contact search feature, which computes a Trigram similarity score on first name and last name, to sum up their scores. With a similarity score influenced by both email and name, API results would reflect both email and name user's attributes. As we sum up similarities, I increased the similarity threshold. Its value is empirical, and was finetuned to avoid breaking existing tests. Please note, the updated value is closer to the threshold used to search contacts. Email or Name can be None. Summing two similarity scores with one of them None, results in a None total score. To mitigate this issue, I added a default empty string value, to replace None values. Thus, the similarity score on this default empty string value is equal to 0 and not to None anymore.