implemented search.py and wrote basic tests #86
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Owner
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Thanks for the PR 😄 I will be able to review this as soon as I get back from holiday. |
amosbastian
requested changes
Aug 10, 2020
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| players = getattr(self, "elements") | ||
| N = len(players) | ||
| search_term = player_name.lower() |
| search_term = player_name.lower() | ||
| min_id = 0 | ||
| min_ed = float('inf') | ||
| eds = {} |
| players = getattr(self, "elements") | ||
| N = len(players) | ||
| search_term = player_name.lower() | ||
| min_id = 0 |
Comment on lines
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| ed = min(levenshtein_distance(full_name, player_name), | ||
| levenshtein_distance(web_name, player_name)) |
Owner
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I guess search_term should be used here?
| player_ids = [0]*N | ||
| for i, player in enumerate(players.values()): | ||
| player_ids[i] = player['id'] | ||
| full_name = unidecode(player['first_name'] + ' ' + player['second_name']).lower() |
Owner
There was a problem hiding this comment.
Shouldn't it be something like
first_name = unidecode(player["first_name"])
second_name = unidecode(player["second_name"])
full_name = f"{first_name} {second_name}".lower()|
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| async def test_get_gameweek_history_unknown_gameweek_cached( | ||
| self, loop, user): | ||
| print(user) |
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Added player search feature using Leveshstein distance.