Add csv support for /players
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@ -1,10 +1,13 @@
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from fastapi import APIRouter, Depends, HTTPException, Query
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from fastapi import APIRouter, Depends, HTTPException, Query, Response
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from typing import List, Optional
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import logging
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import pydantic
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from pandas import DataFrame
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from ..db_engine import db, Player, model_to_dict, chunked
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from ..dependencies import oauth2_scheme, valid_token
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from ..dependencies import oauth2_scheme, valid_token, LOG_DATA
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logging.basicConfig(filename=LOG_DATA['filename'], format=LOG_DATA['format'], level=LOG_DATA['log_level'])
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router = APIRouter(
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prefix='/api/v3/players',
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@ -44,7 +47,8 @@ class PlayerList(pydantic.BaseModel):
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@router.get('')
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async def get_players(
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season: Optional[int], team_id: list = Query(default=None), pos: list = Query(default=None),
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is_injured: Optional[bool] = None, sort: Optional[str] = None):
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is_injured: Optional[bool] = None, sort: Optional[str] = None, short_output: Optional[bool] = False,
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csv: Optional[bool] = False):
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all_players = Player.select_season(season)
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if team_id is not None:
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@ -70,10 +74,36 @@ async def get_players(
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elif sort == 'name-desc':
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all_players = all_players.order_by(-Player.name)
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return_players = {
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'count': all_players.count(),
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'players': [model_to_dict(x, recurse=False) for x in all_players]
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}
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print(f'csv: {csv}')
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if csv:
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player_list = [
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['name', 'wara', 'image', 'image2', 'team', 'season', 'pitcher_injury', 'pos_1', 'pos_2', 'pos_3',
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'pos_4', 'pos_5', 'pos_6', 'pos_7', 'pos_8', 'last_game', 'last_game2', 'il_return', 'demotion_week',
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'headshot', 'vanity_card', 'strat_code', 'bbref_id', 'injury_rating']
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]
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for line in all_players:
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player_list.append(
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[
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line.name, line.wara, line.image, line.image2, line.team.abbrev, line.season, line.pitcher_injury,
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line.pos_1, line.pos_2, line.pos_3, line.pos_4, line.pos_5, line.pos_6, line.pos_7, line.pos_8,
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line.last_game, line.last_game2, line.il_return, line.demotion_week, line.headshot,
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line.vanity_card, line.strat_code.replace(",", "-_-"), line.bbref_id, line.injury_rating
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]
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)
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return_players = {
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'count': all_players.count(),
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'players': DataFrame(player_list).to_csv(header=False, index=False),
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'csv': True
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}
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db.close()
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return Response(content=return_players['players'], media_type='text/csv')
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else:
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return_players = {
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'count': all_players.count(),
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'players': [model_to_dict(x, recurse=not short_output) for x in all_players]
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}
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db.close()
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return return_players
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