No Solution Found FD MVP Rule Set

[aggiefury101]

Good Morning. When I try to run draftfast with the FD MVP ruleset I get the No solution found try adjusting your constraints, but everything is left open. I attached the salaries csv. Please let me know where I missed the mark and thanks for your help!

from draftfast import rules
from draftfast.optimize import run
from draftfast.csv_parse import salary_download


# Generate the player pool from a CSV file:
player_pool = salary_download.generate_players_from_csvs(
    salary_file_location="C:/Users/romahngr/Downloads/salaries (2).csv",
    game=rules.FAN_DUEL,  # Ensure the game is set to FanDuel
)

roster = run(
    rule_set=rules.FD_NFL_MVP_RULE_SET,  # Use the FanDuel MVP rule set
    player_pool=player_pool,
    verbose=True,
   )

print(roster)

# If you later decide to upload to FanDuel (this part wasn't provided in your example, but just in case you need it):
# from draftfast.csv_parse import uploaders

# uploader = uploaders.FanDuelNFLUploader(
#     pid_file='./your_pid_file.csv',
# )
# uploader.write_rosters([roster])

[aggiefury101]

salaries (2).csv

[BenBrostoff]

Hey @aggiefury101 - have you tried looking at this test

draftfast/draftfast/test/test_csv_parse.py

Lines 44 to 73 in 86947ff

	def test_fd_showdown_nfl():
	players = salary_download.generate_players_from_csvs(
	salary_file_location=fd_mvp_nfl_salaries,
	projection_file_location=projections,
	game=FAN_DUEL,
	ruleset=FD_NFL_MVP_RULE_SET,
	)
	ntools.assert_equals(len(players), 146)
	# Two same ID players should break out captain and flex
	# and have identical costs
	renfrow = [
	p for p in players
	if p.name == 'Hunter Renfrow'
	]
	ntools.assert_equals(len(renfrow), 2)
	ntools.assert_equals(renfrow[0].cost, renfrow[1].cost)
	ntools.assert_almost_equals(
	renfrow[0].average_score,
	renfrow[1].average_score * 1.5
	)
	ntools.assert_equals(renfrow[0].pos, 'CPT')
	ntools.assert_equals(renfrow[1].pos, 'FLEX')
	# Optimization should work
	optimized = run(
	rule_set=FD_NFL_MVP_RULE_SET,
	player_pool=players
	)
	ntools.assert_equals(len(optimized.players), 5)

? This is still passing and it would be helpful to know how your example is different from the test.