James McCool
commited on
Commit
·
0ff4b2c
1
Parent(s):
f31fe20
Increase database query limits in lineup initialization for DraftKings and FanDuel, enhancing data retrieval for player selections across various slate types.
Browse files- src/streamlit_app.py +36 -36
src/streamlit_app.py
CHANGED
|
@@ -242,11 +242,11 @@ def init_DK_lineups(type_var, slate_var, prio_var, prio_mix, db_translation):
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| 242 |
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| 243 |
collection = db['DK_NFL_seed_frame']
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| 244 |
if prio_var == None:
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| 245 |
-
cursor1 = collection.find().limit(math.ceil(
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| 246 |
-
cursor2 = collection.find().sort('Own', -1).limit(math.ceil(
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| 247 |
raw_display = pd.concat([pd.DataFrame(list(cursor1)), pd.DataFrame(list(cursor2))])
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| 248 |
else:
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| 249 |
-
cursor = collection.find().sort(prio_var, -1).limit(
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| 250 |
raw_display = pd.DataFrame(list(cursor))
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| 251 |
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raw_display = raw_display[['QB', 'RB1', 'RB2', 'WR1', 'WR2', 'WR3', 'TE', 'FLEX', 'DST', 'salary', 'proj', 'Team', 'Team_count', 'Secondary', 'Secondary_count', 'Own']]
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@@ -262,11 +262,11 @@ def init_DK_lineups(type_var, slate_var, prio_var, prio_mix, db_translation):
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| 262 |
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| 263 |
collection = db['DK_NFL_Secondary_seed_frame']
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| 264 |
if prio_var == None:
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| 265 |
-
cursor1 = collection.find().limit(math.ceil(
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| 266 |
-
cursor2 = collection.find().sort('Own', -1).limit(math.ceil(
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| 267 |
raw_display = pd.concat([pd.DataFrame(list(cursor1)), pd.DataFrame(list(cursor2))])
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| 268 |
else:
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| 269 |
-
cursor = collection.find().sort(prio_var, -1).limit(
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| 270 |
raw_display = pd.DataFrame(list(cursor))
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| 271 |
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| 272 |
raw_display = raw_display[['QB', 'RB1', 'RB2', 'WR1', 'WR2', 'WR3', 'TE', 'FLEX', 'DST', 'salary', 'proj', 'Team', 'Team_count', 'Secondary', 'Secondary_count', 'Own']]
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@@ -282,11 +282,11 @@ def init_DK_lineups(type_var, slate_var, prio_var, prio_mix, db_translation):
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| 282 |
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| 283 |
collection = db['DK_NFL_Late_seed_frame']
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| 284 |
if prio_var == None:
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| 285 |
-
cursor1 = collection.find().limit(math.ceil(
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| 286 |
-
cursor2 = collection.find().sort('Own', -1).limit(math.ceil(
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| 287 |
raw_display = pd.concat([pd.DataFrame(list(cursor1)), pd.DataFrame(list(cursor2))])
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| 288 |
else:
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| 289 |
-
cursor = collection.find().sort(prio_var, -1).limit(
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| 290 |
raw_display = pd.DataFrame(list(cursor))
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| 291 |
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raw_display = raw_display[['QB', 'RB1', 'RB2', 'WR1', 'WR2', 'WR3', 'TE', 'FLEX', 'DST', 'salary', 'proj', 'Team', 'Team_count', 'Secondary', 'Secondary_count', 'Own']]
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@@ -297,11 +297,11 @@ def init_DK_lineups(type_var, slate_var, prio_var, prio_mix, db_translation):
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| 297 |
if slate_var == 'Main':
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| 298 |
collection = db['DK_NFL_SD_seed_frame']
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| 299 |
if prio_var == None:
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| 300 |
-
cursor1 = collection.find().limit(math.ceil(
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| 301 |
-
cursor2 = collection.find().sort('Own', -1).limit(math.ceil(
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raw_display = pd.concat([pd.DataFrame(list(cursor1)), pd.DataFrame(list(cursor2))])
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| 303 |
else:
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-
cursor = collection.find().sort(prio_var, -1).limit(
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raw_display = pd.DataFrame(list(cursor))
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| 306 |
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raw_display = raw_display[['CPT', 'FLEX1', 'FLEX2', 'FLEX3', 'FLEX4', 'FLEX5', 'salary', 'proj', 'Team', 'Team_count', 'Secondary', 'Secondary_count', 'Own']]
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@@ -310,11 +310,11 @@ def init_DK_lineups(type_var, slate_var, prio_var, prio_mix, db_translation):
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| 310 |
elif slate_var == 'Secondary':
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collection = db['DK_NFL_Secondary_SD_seed_frame']
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| 312 |
if prio_var == None:
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| 313 |
-
cursor1 = collection.find().limit(math.ceil(
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| 314 |
-
cursor2 = collection.find().sort('Own', -1).limit(math.ceil(
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raw_display = pd.concat([pd.DataFrame(list(cursor1)), pd.DataFrame(list(cursor2))])
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| 316 |
else:
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-
cursor = collection.find().sort(prio_var, -1).limit(
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| 318 |
raw_display = pd.DataFrame(list(cursor))
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| 319 |
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raw_display = raw_display[['CPT', 'FLEX1', 'FLEX2', 'FLEX3', 'FLEX4', 'FLEX5', 'salary', 'proj', 'Team', 'Team_count', 'Secondary', 'Secondary_count', 'Own']]
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@@ -323,11 +323,11 @@ def init_DK_lineups(type_var, slate_var, prio_var, prio_mix, db_translation):
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| 323 |
elif slate_var == 'Auxiliary':
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collection = db['DK_NFL_Auxiliary_SD_seed_frame']
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if prio_var == None:
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| 326 |
-
cursor1 = collection.find().limit(math.ceil(
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| 327 |
-
cursor2 = collection.find().sort('Own', -1).limit(math.ceil(
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raw_display = pd.concat([pd.DataFrame(list(cursor1)), pd.DataFrame(list(cursor2))])
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| 329 |
else:
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-
cursor = collection.find().sort(prio_var, -1).limit(
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raw_display = pd.DataFrame(list(cursor))
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raw_display = raw_display[['CPT', 'FLEX1', 'FLEX2', 'FLEX3', 'FLEX4', 'FLEX5', 'salary', 'proj', 'Team', 'Team_count', 'Secondary', 'Secondary_count', 'Own']]
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@@ -355,11 +355,11 @@ def init_FD_lineups(type_var, slate_var, prio_var, prio_mix):
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collection = db['FD_NFL_seed_frame']
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if prio_var == None:
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| 358 |
-
cursor1 = collection.find().limit(math.ceil(
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| 359 |
-
cursor2 = collection.find().sort('Own', -1).limit(math.ceil(
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raw_display = pd.concat([pd.DataFrame(list(cursor1)), pd.DataFrame(list(cursor2))])
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else:
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-
cursor = collection.find().sort(prio_var, -1).limit(
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raw_display = pd.DataFrame(list(cursor))
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raw_display = raw_display[['QB', 'RB1', 'RB2', 'WR1', 'WR2', 'WR3', 'TE', 'FLEX', 'DST', 'salary', 'proj', 'Team', 'Team_count', 'Secondary', 'Secondary_count', 'Own']]
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@@ -375,11 +375,11 @@ def init_FD_lineups(type_var, slate_var, prio_var, prio_mix):
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collection = db['FD_NFL_Secondary_seed_frame']
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| 377 |
if prio_var == None:
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| 378 |
-
cursor1 = collection.find().limit(math.ceil(
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| 379 |
-
cursor2 = collection.find().sort('Own', -1).limit(math.ceil(
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| 380 |
raw_display = pd.concat([pd.DataFrame(list(cursor1)), pd.DataFrame(list(cursor2))])
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| 381 |
else:
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| 382 |
-
cursor = collection.find().sort(prio_var, -1).limit(
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raw_display = pd.DataFrame(list(cursor))
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raw_display = raw_display[['QB', 'RB1', 'RB2', 'WR1', 'WR2', 'WR3', 'TE', 'FLEX', 'DST', 'salary', 'proj', 'Team', 'Team_count', 'Secondary', 'Secondary_count', 'Own']]
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@@ -395,11 +395,11 @@ def init_FD_lineups(type_var, slate_var, prio_var, prio_mix):
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collection = db['FD_NFL_Late_seed_frame']
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if prio_var == None:
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| 398 |
-
cursor1 = collection.find().limit(math.ceil(
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| 399 |
-
cursor2 = collection.find().sort('Own', -1).limit(math.ceil(
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raw_display = pd.concat([pd.DataFrame(list(cursor1)), pd.DataFrame(list(cursor2))])
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else:
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-
cursor = collection.find().sort(prio_var, -1).limit(
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raw_display = pd.DataFrame(list(cursor))
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raw_display = raw_display[['QB', 'RB1', 'RB2', 'WR1', 'WR2', 'WR3', 'TE', 'FLEX', 'DST', 'salary', 'proj', 'Team', 'Team_count', 'Secondary', 'Secondary_count', 'Own']]
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@@ -411,11 +411,11 @@ def init_FD_lineups(type_var, slate_var, prio_var, prio_mix):
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| 411 |
if slate_var == 'Main':
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collection = db['FD_NFL_SD_seed_frame']
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| 413 |
if prio_var == None:
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| 414 |
-
cursor1 = collection.find().limit(math.ceil(
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| 415 |
-
cursor2 = collection.find().sort('Own', -1).limit(math.ceil(
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raw_display = pd.concat([pd.DataFrame(list(cursor1)), pd.DataFrame(list(cursor2))])
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else:
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| 418 |
-
cursor = collection.find().sort(prio_var, -1).limit(
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raw_display = pd.DataFrame(list(cursor))
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raw_display = raw_display[['CPT', 'FLEX1', 'FLEX2', 'FLEX3', 'FLEX4', 'FLEX5', 'salary', 'proj', 'Team', 'Team_count', 'Secondary', 'Secondary_count', 'Own']]
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@@ -424,11 +424,11 @@ def init_FD_lineups(type_var, slate_var, prio_var, prio_mix):
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| 424 |
elif slate_var == 'Secondary':
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| 425 |
collection = db['FD_NFL_Secondary_SD_seed_frame']
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| 426 |
if prio_var == None:
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| 427 |
-
cursor1 = collection.find().limit(math.ceil(
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| 428 |
-
cursor2 = collection.find().sort('Own', -1).limit(math.ceil(
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raw_display = pd.concat([pd.DataFrame(list(cursor1)), pd.DataFrame(list(cursor2))])
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else:
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-
cursor = collection.find().sort(prio_var, -1).limit(
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raw_display = pd.DataFrame(list(cursor))
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raw_display = raw_display[['CPT', 'FLEX1', 'FLEX2', 'FLEX3', 'FLEX4', 'FLEX5', 'salary', 'proj', 'Team', 'Team_count', 'Secondary', 'Secondary_count', 'Own']]
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@@ -437,11 +437,11 @@ def init_FD_lineups(type_var, slate_var, prio_var, prio_mix):
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| 437 |
elif slate_var == 'Auxiliary':
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collection = db['FD_NFL_Auxiliary_SD_seed_frame']
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| 439 |
if prio_var == None:
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| 440 |
-
cursor1 = collection.find().limit(math.ceil(
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| 441 |
-
cursor2 = collection.find().sort('Own', -1).limit(math.ceil(
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raw_display = pd.concat([pd.DataFrame(list(cursor1)), pd.DataFrame(list(cursor2))])
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| 443 |
else:
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| 444 |
-
cursor = collection.find().sort(prio_var, -1).limit(
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raw_display = pd.DataFrame(list(cursor))
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raw_display = raw_display[['CPT', 'FLEX1', 'FLEX2', 'FLEX3', 'FLEX4', 'FLEX5', 'salary', 'proj', 'Team', 'Team_count', 'Secondary', 'Secondary_count', 'Own']]
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collection = db['DK_NFL_seed_frame']
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if prio_var == None:
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+
cursor1 = collection.find().limit(math.ceil(50000 * (prio_mix / 100)))
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| 246 |
+
cursor2 = collection.find().sort('Own', -1).limit(math.ceil(50000 * ((100 - prio_mix) / 100)))
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raw_display = pd.concat([pd.DataFrame(list(cursor1)), pd.DataFrame(list(cursor2))])
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| 248 |
else:
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+
cursor = collection.find().sort(prio_var, -1).limit(50000)
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raw_display = pd.DataFrame(list(cursor))
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raw_display = raw_display[['QB', 'RB1', 'RB2', 'WR1', 'WR2', 'WR3', 'TE', 'FLEX', 'DST', 'salary', 'proj', 'Team', 'Team_count', 'Secondary', 'Secondary_count', 'Own']]
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collection = db['DK_NFL_Secondary_seed_frame']
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if prio_var == None:
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| 265 |
+
cursor1 = collection.find().limit(math.ceil(50000 * (prio_mix / 100)))
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| 266 |
+
cursor2 = collection.find().sort('Own', -1).limit(math.ceil(50000 * ((100 - prio_mix) / 100)))
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raw_display = pd.concat([pd.DataFrame(list(cursor1)), pd.DataFrame(list(cursor2))])
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else:
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+
cursor = collection.find().sort(prio_var, -1).limit(50000)
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raw_display = pd.DataFrame(list(cursor))
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raw_display = raw_display[['QB', 'RB1', 'RB2', 'WR1', 'WR2', 'WR3', 'TE', 'FLEX', 'DST', 'salary', 'proj', 'Team', 'Team_count', 'Secondary', 'Secondary_count', 'Own']]
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| 282 |
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collection = db['DK_NFL_Late_seed_frame']
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| 284 |
if prio_var == None:
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| 285 |
+
cursor1 = collection.find().limit(math.ceil(50000 * (prio_mix / 100)))
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| 286 |
+
cursor2 = collection.find().sort('Own', -1).limit(math.ceil(50000 * ((100 - prio_mix) / 100)))
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| 287 |
raw_display = pd.concat([pd.DataFrame(list(cursor1)), pd.DataFrame(list(cursor2))])
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| 288 |
else:
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| 289 |
+
cursor = collection.find().sort(prio_var, -1).limit(50000)
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raw_display = pd.DataFrame(list(cursor))
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raw_display = raw_display[['QB', 'RB1', 'RB2', 'WR1', 'WR2', 'WR3', 'TE', 'FLEX', 'DST', 'salary', 'proj', 'Team', 'Team_count', 'Secondary', 'Secondary_count', 'Own']]
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| 297 |
if slate_var == 'Main':
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collection = db['DK_NFL_SD_seed_frame']
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| 299 |
if prio_var == None:
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| 300 |
+
cursor1 = collection.find().limit(math.ceil(50000 * (prio_mix / 100)))
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| 301 |
+
cursor2 = collection.find().sort('Own', -1).limit(math.ceil(50000 * ((100 - prio_mix) / 100)))
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raw_display = pd.concat([pd.DataFrame(list(cursor1)), pd.DataFrame(list(cursor2))])
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| 303 |
else:
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| 304 |
+
cursor = collection.find().sort(prio_var, -1).limit(50000)
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raw_display = pd.DataFrame(list(cursor))
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| 307 |
raw_display = raw_display[['CPT', 'FLEX1', 'FLEX2', 'FLEX3', 'FLEX4', 'FLEX5', 'salary', 'proj', 'Team', 'Team_count', 'Secondary', 'Secondary_count', 'Own']]
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| 310 |
elif slate_var == 'Secondary':
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collection = db['DK_NFL_Secondary_SD_seed_frame']
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| 312 |
if prio_var == None:
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| 313 |
+
cursor1 = collection.find().limit(math.ceil(50000 * (prio_mix / 100)))
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| 314 |
+
cursor2 = collection.find().sort('Own', -1).limit(math.ceil(50000 * ((100 - prio_mix) / 100)))
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| 315 |
raw_display = pd.concat([pd.DataFrame(list(cursor1)), pd.DataFrame(list(cursor2))])
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| 316 |
else:
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| 317 |
+
cursor = collection.find().sort(prio_var, -1).limit(50000)
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| 318 |
raw_display = pd.DataFrame(list(cursor))
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| 320 |
raw_display = raw_display[['CPT', 'FLEX1', 'FLEX2', 'FLEX3', 'FLEX4', 'FLEX5', 'salary', 'proj', 'Team', 'Team_count', 'Secondary', 'Secondary_count', 'Own']]
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| 323 |
elif slate_var == 'Auxiliary':
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| 324 |
collection = db['DK_NFL_Auxiliary_SD_seed_frame']
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| 325 |
if prio_var == None:
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| 326 |
+
cursor1 = collection.find().limit(math.ceil(50000 * (prio_mix / 100)))
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| 327 |
+
cursor2 = collection.find().sort('Own', -1).limit(math.ceil(50000 * ((100 - prio_mix) / 100)))
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| 328 |
raw_display = pd.concat([pd.DataFrame(list(cursor1)), pd.DataFrame(list(cursor2))])
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| 329 |
else:
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| 330 |
+
cursor = collection.find().sort(prio_var, -1).limit(50000)
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| 331 |
raw_display = pd.DataFrame(list(cursor))
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| 333 |
raw_display = raw_display[['CPT', 'FLEX1', 'FLEX2', 'FLEX3', 'FLEX4', 'FLEX5', 'salary', 'proj', 'Team', 'Team_count', 'Secondary', 'Secondary_count', 'Own']]
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| 355 |
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| 356 |
collection = db['FD_NFL_seed_frame']
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| 357 |
if prio_var == None:
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| 358 |
+
cursor1 = collection.find().limit(math.ceil(50000 * (prio_mix / 100)))
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| 359 |
+
cursor2 = collection.find().sort('Own', -1).limit(math.ceil(50000 * ((100 - prio_mix) / 100)))
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| 360 |
raw_display = pd.concat([pd.DataFrame(list(cursor1)), pd.DataFrame(list(cursor2))])
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| 361 |
else:
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| 362 |
+
cursor = collection.find().sort(prio_var, -1).limit(50000)
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| 363 |
raw_display = pd.DataFrame(list(cursor))
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| 364 |
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| 365 |
raw_display = raw_display[['QB', 'RB1', 'RB2', 'WR1', 'WR2', 'WR3', 'TE', 'FLEX', 'DST', 'salary', 'proj', 'Team', 'Team_count', 'Secondary', 'Secondary_count', 'Own']]
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| 375 |
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| 376 |
collection = db['FD_NFL_Secondary_seed_frame']
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| 377 |
if prio_var == None:
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| 378 |
+
cursor1 = collection.find().limit(math.ceil(50000 * (prio_mix / 100)))
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| 379 |
+
cursor2 = collection.find().sort('Own', -1).limit(math.ceil(50000 * ((100 - prio_mix) / 100)))
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| 380 |
raw_display = pd.concat([pd.DataFrame(list(cursor1)), pd.DataFrame(list(cursor2))])
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| 381 |
else:
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| 382 |
+
cursor = collection.find().sort(prio_var, -1).limit(50000)
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| 383 |
raw_display = pd.DataFrame(list(cursor))
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| 384 |
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| 385 |
raw_display = raw_display[['QB', 'RB1', 'RB2', 'WR1', 'WR2', 'WR3', 'TE', 'FLEX', 'DST', 'salary', 'proj', 'Team', 'Team_count', 'Secondary', 'Secondary_count', 'Own']]
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| 395 |
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| 396 |
collection = db['FD_NFL_Late_seed_frame']
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| 397 |
if prio_var == None:
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| 398 |
+
cursor1 = collection.find().limit(math.ceil(50000 * (prio_mix / 100)))
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| 399 |
+
cursor2 = collection.find().sort('Own', -1).limit(math.ceil(50000 * ((100 - prio_mix) / 100)))
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| 400 |
raw_display = pd.concat([pd.DataFrame(list(cursor1)), pd.DataFrame(list(cursor2))])
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| 401 |
else:
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| 402 |
+
cursor = collection.find().sort(prio_var, -1).limit(50000)
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| 403 |
raw_display = pd.DataFrame(list(cursor))
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| 404 |
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| 405 |
raw_display = raw_display[['QB', 'RB1', 'RB2', 'WR1', 'WR2', 'WR3', 'TE', 'FLEX', 'DST', 'salary', 'proj', 'Team', 'Team_count', 'Secondary', 'Secondary_count', 'Own']]
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|
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| 411 |
if slate_var == 'Main':
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| 412 |
collection = db['FD_NFL_SD_seed_frame']
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| 413 |
if prio_var == None:
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| 414 |
+
cursor1 = collection.find().limit(math.ceil(50000 * (prio_mix / 100)))
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| 415 |
+
cursor2 = collection.find().sort('Own', -1).limit(math.ceil(50000 * ((100 - prio_mix) / 100)))
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| 416 |
raw_display = pd.concat([pd.DataFrame(list(cursor1)), pd.DataFrame(list(cursor2))])
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| 417 |
else:
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| 418 |
+
cursor = collection.find().sort(prio_var, -1).limit(50000)
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| 419 |
raw_display = pd.DataFrame(list(cursor))
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| 420 |
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| 421 |
raw_display = raw_display[['CPT', 'FLEX1', 'FLEX2', 'FLEX3', 'FLEX4', 'FLEX5', 'salary', 'proj', 'Team', 'Team_count', 'Secondary', 'Secondary_count', 'Own']]
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|
|
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| 424 |
elif slate_var == 'Secondary':
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| 425 |
collection = db['FD_NFL_Secondary_SD_seed_frame']
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| 426 |
if prio_var == None:
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| 427 |
+
cursor1 = collection.find().limit(math.ceil(50000 * (prio_mix / 100)))
|
| 428 |
+
cursor2 = collection.find().sort('Own', -1).limit(math.ceil(50000 * ((100 - prio_mix) / 100)))
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| 429 |
raw_display = pd.concat([pd.DataFrame(list(cursor1)), pd.DataFrame(list(cursor2))])
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| 430 |
else:
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| 431 |
+
cursor = collection.find().sort(prio_var, -1).limit(50000)
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| 432 |
raw_display = pd.DataFrame(list(cursor))
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| 433 |
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| 434 |
raw_display = raw_display[['CPT', 'FLEX1', 'FLEX2', 'FLEX3', 'FLEX4', 'FLEX5', 'salary', 'proj', 'Team', 'Team_count', 'Secondary', 'Secondary_count', 'Own']]
|
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|
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| 437 |
elif slate_var == 'Auxiliary':
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| 438 |
collection = db['FD_NFL_Auxiliary_SD_seed_frame']
|
| 439 |
if prio_var == None:
|
| 440 |
+
cursor1 = collection.find().limit(math.ceil(50000 * (prio_mix / 100)))
|
| 441 |
+
cursor2 = collection.find().sort('Own', -1).limit(math.ceil(50000 * ((100 - prio_mix) / 100)))
|
| 442 |
raw_display = pd.concat([pd.DataFrame(list(cursor1)), pd.DataFrame(list(cursor2))])
|
| 443 |
else:
|
| 444 |
+
cursor = collection.find().sort(prio_var, -1).limit(50000)
|
| 445 |
raw_display = pd.DataFrame(list(cursor))
|
| 446 |
|
| 447 |
raw_display = raw_display[['CPT', 'FLEX1', 'FLEX2', 'FLEX3', 'FLEX4', 'FLEX5', 'salary', 'proj', 'Team', 'Team_count', 'Secondary', 'Secondary_count', 'Own']]
|