def test_fuzzy_operation_compare(self):
self.assertTrue(
self.lookup.test_operation_equal(
test_operation_dict,
test_operation_equal_search=[
comparators.cmp_required_keys(
["description", "event_id", "rules_id"]),
comparators.cmp_status(),
comparators.cmp_event(),
comparators.cmp_all_description()
]))
t2 = deepcopy(test_operation_dict)
t2["description"] = [
["en", "Handicap (0:1)"],
]
self.assertFalse(
self.lookup.test_operation_equal(
t2,
test_operation_equal_search=[
comparators.cmp_all_description()
]))
self.assertTrue(
self.lookup.test_operation_equal(
t2,
test_operation_equal_search=[
comparators.cmp_description("en")
]))
def updateHandicapBMg(self, bmg, incident_type):
""" This method creates a BMG for Hanidcap
"""
log.debug("BMG is dynamic Handicap: {}".format(bmg.identifier))
# Identify which player has the handicap
side = obtain_participant_side(incident_type["participant"],
self.teams)
# Set handicap
handicap = round(self.median_value("hc", side=side))
bmg.set_handicaps(**{side: handicap})
# We use fuzzy arguments by defining and injecting our own
# test_operation_equal_search and find_id_search comparators.
# This allows us to select what to actually look for.
fuzzy_args = {
"test_operation_equal_search": [
# The following keys are required
comparators.cmp_required_keys(
[ # other for updates with new_*
"betting_market_group_id",
"new_description",
"new_event_id",
"new_rules_id",
],
[ # or as actual creates
"betting_market_group_id",
"description",
"event_id",
"rules_id",
],
),
# The status needs to match, if not update
comparators.cmp_status(),
# The status needs to match
comparators.cmp_event(),
# The description must have a _dynamic attribute
comparators.cmp_description("_dynamic"),
# The fuzzy comparator takes the fuzzyness from config
# and tries to find the bmgs for handicap and over
# under dynamic factors but allows some fuzzyness for
# the actual value
comparators.cmp_dynamic_bmg_fuzzy(
config["dynamic"]["handicap"]["fuzzy_value"]),
],
# We identify the bmg by comparing
"find_id_search": [
# parent event id
comparators.cmp_event(),
# comparing type of dynamic
comparators.cmp_description("_dynamic"),
# fuzzy matching of dynamic value
comparators.cmp_dynamic_bmg_fuzzy(
config["dynamic"]["handicap"]["fuzzy_value"]),
],
}
bmg.update(**fuzzy_args)
def updateOverUnderBMg(self, bmg):
""" This method creates a BMG for OverUnder
"""
log.debug("BMG is dynamic Over/Under: {}".format(bmg.identifier))
# Let's obtain the overunder value
overunder = self.median_value("ou")
# Set Overunder
bmg.set_overunder(overunder)
# We use fuzzy arguments by defining and injecting our own
# test_operation_equal_search and find_id_search comparators.
# This allows us to select what to actually look for.
fuzzy_args = {
"test_operation_equal_search": [
# The following keys are required
comparators.cmp_required_keys(
[ # other for updates with new_*
"betting_market_group_id",
"new_description",
"new_event_id",
"new_rules_id",
],
[ # or as actual creates
"betting_market_group_id",
"description",
"event_id",
"rules_id",
],
),
# The status needs to match, if not update
comparators.cmp_status(),
# The status needs to match
comparators.cmp_event(),
# The description must have a _dynamic attribute
comparators.cmp_description("_dynamic"),
# The fuzzy comparator takes the fuzzyness from config
# and tries to find the bmgs for handicap and over
# under dynamic factors but allows some fuzzyness for
# the actual value
comparators.cmp_dynamic_bmg_fuzzy(
config["dynamic"]["overunder"]["fuzzy_value"]),
],
# We identify the bmg by comparing
"find_id_search": [
# parent event id
comparators.cmp_event(),
# comparing type of dynamic
comparators.cmp_description("_dynamic"),
# fuzzy matching of dynamic value
comparators.cmp_dynamic_bmg_fuzzy(
config["dynamic"]["overunder"]["fuzzy_value"]),
],
}
bmg.update(**fuzzy_args)
def test_fuzzy_operation_compare(self):
self.assertTrue(
self.lookup.test_operation_equal(
test_operation_dict,
test_operation_equal_search=[
comparators.cmp_required_keys(
["description", "event_id", "rules_id"]),
comparators.cmp_status(),
comparators.cmp_event(),
comparators.cmp_all_description(),
],
))
t2 = deepcopy(test_operation_dict)
t2["description"] = [
["display_name", "Over/Under 3.5 pts"],
["en", "Over/Under 3.5 pts"],
["sen", "Total Points"],
["_dynamic", "FAKE"],
["_ou", "FAKE"],
]
self.assertFalse(
self.lookup.test_operation_equal(
t2,
test_operation_equal_search=[
comparators.cmp_all_description()
]))
self.assertTrue(
self.lookup.test_operation_equal(
t2,
test_operation_equal_search=[
comparators.cmp_descriptions(["en", "display_name"])
],
))
self.assertTrue(
self.lookup.test_operation_equal(
t2,
test_operation_equal_search=[
comparators.cmp_langs("description",
langs=lambda x: x[0] != "_")
],
))
def createBmgs(self, event, incident_type):
""" Go through all Betting Market groups and create them
"""
assert "type" in incident_type
assert "value" in incident_type
typ = incident_type["type"]
# Let's find the BM according to bookiesports
bmgs = list(event.bettingmarketgroups)
log.info("Expected number of BMGs: {}".format(len(bmgs)))
for bmg in bmgs:
# Only do dynamic ones here
if (not bmg["dynamic"]
or not LookupBettingMarketGroup.is_dynamic_type(
bmg["dynamic"], typ)):
log.info("BMG is not dynamic: {}".format(bmg.identifier))
continue
# If this is a Overunder BMG
if (LookupBettingMarketGroup.is_ou_type(bmg.get("dynamic"))
and LookupBettingMarketGroup.is_ou_type(typ)):
log.info("BMG is dynamic Over/Under: {}".format(
bmg.identifier))
# Let's obtain the overunder value
# overunder = math.floor(self.median_value("ou")) + 0.5
overunder = self.median_value(
"ou") # The rounding will need to happen somewhere else!
# Set Overunder
bmg.set_overunder(overunder)
# Update and crate BMs
fuzzy_args = {
"test_operation_equal_search": [
comparators.cmp_required_keys([
"betting_market_group_id", "new_description",
"new_event_id", "new_rules_id"
], [
"betting_market_group_id", "description",
"event_id", "rules_id"
]),
comparators.cmp_status(),
comparators.cmp_event(),
comparators.cmp_description("_dynamic"),
comparators.cmp_fuzzy(
config["dynamic"]["overunder"]["fuzzy_value"]),
],
"find_id_search": [
comparators.cmp_event(),
comparators.cmp_fuzzy(
config["dynamic"]["overunder"]["fuzzy_value"]),
comparators.cmp_description("_dynamic"),
]
}
bmg.update(**fuzzy_args)
self.createBms(bmg)
return
# If this is a Handicap BMG
elif (LookupBettingMarketGroup.is_hc_type(bmg.get("dynamic"))
and LookupBettingMarketGroup.is_hc_type(typ)):
log.info("BMG is dynamic Handicap: {}".format(bmg.identifier))
# Identify which player has the handicap
side = obtain_participant_side(incident_type["participant"],
self.teams)
# Set handicap
handicap = round(self.median_value("hc", side=side))
bmg.set_handicaps(**{side: handicap})
# Update and crate BMs
fuzzy_args = {
"test_operation_equal_search": [
comparators.cmp_required_keys([
"betting_market_group_id", "new_description",
"new_event_id", "new_rules_id"
], [
"betting_market_group_id", "description",
"event_id", "rules_id"
]),
comparators.cmp_status(),
comparators.cmp_event(),
comparators.cmp_description("_dynamic"),
comparators.cmp_fuzzy(
config["dynamic"]["handicap"]["fuzzy_value"]),
],
"find_id_search": [
comparators.cmp_event(),
comparators.cmp_fuzzy(
config["dynamic"]["handicap"]["fuzzy_value"]),
comparators.cmp_description("_dynamic"),
]
}
bmg.update(**fuzzy_args)
self.createBms(bmg)
return
else:
log.error(
"BMG is could not be classified: {} - Type: {}".format(
bmg.identifier, (typ or "empty string")))