def main():
p = MyFantasyLeagueNFLParser()
matched_players = []
unmatched_players = []
# MyFantasyLeagueNFLParser.players returns a list of dictionaries
# Easier to do name matching if transform to dictionary where full_name is key, player is value
fname = 'myfantasyleague_projections/players.xml'
positions = ['QB', 'RB', 'WR', 'TE']
players_match_from = {
player['full_name']: player
for player in p.players(positions=positions, fname=fname)
}
# now get players from other sites
for site, command in commands.items():
result = run_command(command)
try:
players_to_match = json.loads(result)
for player in players_to_match:
try:
full_name, first_last = NameMatcher.fix_name(
player['full_name'])
player['full_name'] = full_name
player['first_last'] = first_last
player = NameMatcher.match_player(
to_match=player,
match_from=players_match_from,
site_id_key='espn_id')
if player.get('espn_id') is not None:
matched_players.append(player)
else:
unmatched_players.append(player)
except Exception as ie:
logging.exception('%s: threw inner exception' %
player['full_name'])
except Exception as e:
logging.exception('%s: threw outer exception')
print json.dumps(matched_players, indent=4, sort_keys=True)
def _parse_row(self, sheet, rowidx, column_map):
"""
Private method
:param sheet(xlrd worksheet object):
:return players (list of dictionary):
"""
cells = []
# loop through list of columns you want to scrape
for column in self.wanted_cols:
colidx = column_map.get(column, None)
if colidx is not None:
cell_value = str(sheet.cell(rowidx, colidx).value)
cells.append(cell_value)
else:
logging.error("could not find column index for %s" % column)
fixed_column_names = self._fix_headers(self.wanted_cols)
player = dict(zip(fixed_column_names, cells))
first_last, full_name = NameMatcher.fix_name(player["full_name"])
player["first_last"] = first_last
player["full_name"] = full_name
logging.debug("player is %s" % player)
return player
def _parse_row(self, sheet, rowidx, column_map):
'''
Private method
:param sheet(xlrd worksheet object):
:return players (list of dictionary):
'''
cells = []
# loop through list of columns you want to scrape
for column in self.wanted_cols:
colidx = column_map.get(column, None)
if colidx is not None:
cell_value = str(sheet.cell(rowidx, colidx).value)
cells.append(cell_value)
else:
logging.error('could not find column index for %s' % column)
fixed_column_names = self._fix_headers(self.wanted_cols)
player = dict(zip(fixed_column_names, cells))
first_last, full_name = NameMatcher.fix_name(player['full_name'])
player['first_last'] = first_last
player['full_name'] = full_name
logging.debug('player is %s' % player)
return player
def main():
p = MyFantasyLeagueNFLParser()
matched_players = []
unmatched_players = []
# MyFantasyLeagueNFLParser.players returns a list of dictionaries
# Easier to do name matching if transform to dictionary where full_name is key, player is value
fname = 'myfantasyleague_projections/players.xml'
positions = ['QB', 'RB', 'WR', 'TE']
players_match_from = {player['full_name']: player for player in p.players(positions=positions, fname=fname)}
# now get players from other sites
for site, command in commands.items():
result = run_command(command)
try:
players_to_match = json.loads(result)
for player in players_to_match:
try:
full_name, first_last = NameMatcher.fix_name(player['full_name'])
player['full_name'] = full_name
player['first_last'] = first_last
player = NameMatcher.match_player(to_match=player, match_from=players_match_from, site_id_key='espn_id')
if player.get('espn_id') is not None:
matched_players.append(player)
else:
unmatched_players.append(player)
except Exception as ie:
logging.exception('%s: threw inner exception' % player['full_name'])
except Exception as e:
logging.exception('%s: threw outer exception')
print json.dumps(matched_players, indent=4, sort_keys=True)
def _parse_projections_rows(self, reader):
'''
TODO
:param headers:
:param row:
:return:
'''
players = []
for row in reader:
row = {k: v for k, v in row.items() if k and v}
# fantasypros lists position as RB1, QB2, so need to strip numbers
row['position'] = ''.join(i for i in row['position'] if not i.isdigit())
# standardize names for lookup
full_name, first_last = NameMatcher.fix_name(row['full_name'])
row['full_name'] = full_name
row['first_last'] = first_last
players.append(row)
return players
mfl = MyFantasyLeagueNFLParser()
# MyFantasyLeagueNFLParser.players returns a list of dictionaries
# Easier to do name matching if transform to dictionary where full_name is key, player is value
fname = 'myfantasyleague_projections/players.xml'
positions = ['QB', 'RB', 'WR', 'TE']
players_match_from = {
p['full_name']: p
for p in mfl.players(positions=positions, fname=fname)
}
save_json(mfl_json, players_match_from)
for i in xrange(len(players)):
try:
players[i] = NameMatcher.match_player(
to_match=players[i],
match_from=players_match_from,
site_id_key='espn_id')
except:
pass
print json.dumps(players, indent=4, sort_keys=True)
jsonfn = args.get('save_json', None)
if jsonfn:
save_json(jsonfn, players)
csvfn = args.get('save_csv', None)
if csvfn:
save_csv(csvfn, players)
if os.path.exists(mfl_json):
with open(mfl_json) as data_file:
players_match_from = json.load(data_file)
else:
mfl = MyFantasyLeagueNFLParser()
# MyFantasyLeagueNFLParser.players returns a list of dictionaries
# Easier to do name matching if transform to dictionary where full_name is key, player is value
fname = 'myfantasyleague_projections/players.xml'
positions = ['QB', 'RB', 'WR', 'TE']
players_match_from = {player['full_name']: player for player in mfl.players(positions=positions, fname=fname)}
save_json(mfl_json, players_match_from)
for i in xrange(len(players)):
try:
players[i] = NameMatcher.match_player(to_match=players[i], match_from=players_match_from, site_id_key='espn_id')
except:
pass
# dump to stdout
pprint.pprint(players, indent=4)
# save to file if parameter set
jsonfn = args.get('save_json', None)
if jsonfn:
save_json(jsonfn, players)
csvfn = args.get('save_csv', None)
if csvfn:
save_csv(csvfn, players)
