def ajax_get_related_models(request):
model_name = request.GET.get('model')
svg_nodes = []
svg_links = []
# Temp for now:
cur_group_count = 1
model = get_model(middle=model_name)
log.debug(("Getting related models for ", model))
related_models = [
rel for rel in model.get_related_models(app_names=["nba_stats"])
]
fields = {}
groups_dict = {}
for rel_model in related_models:
# Note: This only grabs the first parent defined in models.py.
# Because of this, I'm not sure it works in 100% of cases right now.
# Additionally, it forces us to be careful with our model definitions
parent_model = rel_model.__base__
log.debug(("ZEBRA", rel_model, parent_model))
fields[rel_model.__name__] = get_user_exposed_model_fields(rel_model)
if parent_model not in groups_dict:
log.debug((parent_model,
" not in groups dict yet. adding it as group no. ",
cur_group_count))
groups_dict[parent_model] = cur_group_count
if parent_model != UserExposedModel:
svg_nodes.append({
'id': parent_model.__name__,
'group': cur_group_count
})
svg_links.append({
'source': parent_model.__name__,
'target': model_name,
'value': 3
})
cur_group_count += 1
group = groups_dict[parent_model]
svg_nodes.append({'id': rel_model.__name__, 'group': group})
if parent_model != UserExposedModel:
svg_links.append({
'source': rel_model.__name__,
'target': parent_model.__name__,
'value': 2
})
related_models = [rel.__name__ for rel in related_models]
data = {
'related': related_models,
'fields': fields,
'nodes': svg_nodes,
'links': svg_links
}
return JsonResponse(data)
def ajax_send_user_query(request):
primary_model_name = request.GET.get('primary_model_name')
model = get_model(middle=primary_model_name)
filters = simplejson.loads(request.GET.get('filters_list'))
filter_dict = {}
for user_qry in filters:
table_field = user_qry['table_field'].lower()
log.debug(table_field)
table, field = table_field.split("__")
if table != model.__name__.lower():
field = table_field
operator = user_qry['operator']
input_val = user_qry['input_val']
final_field = field + "__" + operator
filter_dict[final_field] = input_val
raw_fields_str = request.GET.get('fields_wanted')
fields_wanted = raw_fields_str.lstrip("[").rstrip("]").replace(
'"', "").split(",")
serialize_fields = []
for field in fields_wanted:
log.debug(("field wanted ", field))
table, sub_field = [x.lower() for x in field.split("__")]
if table == model.__name__.lower():
field_to_add = sub_field
else:
field_to_add = field.lower()
log.debug(("field as it is being add ", field_to_add))
serialize_fields.append(field_to_add.lower())
qry_result = model.objects.filter(**filter_dict).values(*serialize_fields)
results_list = []
for result in qry_result:
ordered_result_dict = OrderedDict()
for field in serialize_fields:
val = str(result[field]) if isinstance(result[field],
date) else result[field]
ordered_result_dict[field] = val
results_list.append(ordered_result_dict)
data = simplejson.dumps(results_list)
request.session['user_query_data'] = data
return JsonResponse(data, safe=False)
def _get_objects(self, detail_flag=False):
log.debug("in _get objects")
log.debug(("len(self.raw_data): ", len(self.raw_data)))
objects = []
idx = 1 if detail_flag else 0
rawdata = self.raw_data[idx]
parms = rawdata['parameters']
measure_type = parms['MeasureType']
on = rawdata['resultSets'][1]
off = rawdata['resultSets'][2]
rows = on['rowSet'] + off['rowSet']
headers = on['headers']
prefix = "Player"
middle = measure_type.replace(" ", "") if detail_flag else ""
suffix = "OnOffDetail" if detail_flag else "OnOffSummary"
model = get_model(prefix, middle, suffix)
for row in rows:
data = dict(zip(headers, row))
data['SEASON_ID'] = make_season_int(parms['Season'])
data['MEASURE_TYPE'] = parms['MeasureType']
data['SEASON_TYPE'] = parms['SeasonType']
data['PER_MODE'] = parms['PerMode']
data['TEAM'] = Team.objects.get(team_id=data['TEAM_ID'])
data['PLAYER'] = Player.objects.get(player_id=data['VS_PLAYER_ID'])
if detail_flag:
if measure_type == "Misc":
data['PTS_SECOND_CHANCE'] = data['PTS_2ND_CHANCE']
data['OPP_PTS_SECOND_CHANCE'] = data['OPP_PTS_2ND_CHANCE']
elif measure_type == "Scoring":
data['PCT_PTS_2PT_MIDRANGE'] = data['PCT_PTS_2PT_MR']
final_data = auto_strip_and_convert_fields(model,
data,
uppercase=True,
make_instance=False)
filter_dict = make_unique_filter_dict(model, final_data)
obj, created = model.objects.update_or_create(**filter_dict,
defaults=final_data)
if created:
log.debug(("Created new OnOff ", filter_dict))
objects.append(obj)
return objects
def fetch_raw_data(self,
season=None,
measure_type="Base",
per_mode=TOTALS,
season_type=REGULAR_SEASON,
group_quantity=5):
self.measure_type = measure_type
self.model = get_model(prefix=self.measure_type, suffix="Lineup")
self.raw_data = []
if measure_type in [USAGE, DEFENSE]:
raise ValueError("Usage is not a valid measure type for lineups.")
if season is None:
season = make_season_str(determine_season_for_date(date.today()))
log.debug(("Fetching data", season, season_type, measure_type,
per_mode, group_quantity))
# Really hope this respects season type. I've seen scenarios where it doesn't
lineup = Lineups(season=str(season),
season_type=season_type,
per_mode=per_mode,
group_quantity=group_quantity,
measure_type=measure_type)
resp_json = lineup.json
parms = resp_json['parameters']
result_set = resp_json['resultSets'][0]
lineup_rows = dictify(result_set)
for row in lineup_rows:
row['TEAM'] = Team.objects.get(team_id=int(row['TEAM_ID']))
row['SEASON_ID'] = make_season_int(parms['Season'])
row['MEASURE_TYPE'] = parms['MeasureType']
row['SEASON_TYPE'] = parms['SeasonType']
row['PER_MODE'] = parms['PerMode']
row['GROUP_QUANTITY'] = parms['GroupQuantity']
row['SEASON'] = season
if measure_type == "Misc":
row['PTS_SECOND_CHANCE'] = row['PTS_2ND_CHANCE']
row['OPP_PTS_SECOND_CHANCE'] = row['OPP_PTS_2ND_CHANCE']
elif measure_type == "Scoring":
row['PCT_PTS_2PT_MIDRANGE'] = row['PCT_PTS_2PT_MR']
proc_row = convert_dict_keys_to_lowercase(row)
self.raw_data.append(proc_row)
def splits(self):
prefix = "Player" if self.player_or_team == PlayerStats else "Team"
model = get_model(prefix=prefix,
middle=self.measure_type.replace(
"Base", "Traditional"),
suffix="Split")
splits = []
for row in self.raw_data:
data = auto_strip_and_convert_fields(model=model,
data=row,
make_instance=False)
filter_dict = make_unique_filter_dict(model, data=data)
split, created = model.objects.update_or_create(**filter_dict,
defaults=data)
if created:
log.debug("Created a new split with the following parms:")
log.debug(filter_dict)
splits.append(split)
return splits
def ajax_get_team_splits(request):
log.debug("In get team splits")
split_type = request.GET.get('split_type')
filter_dict = {
k: request.GET.get(k)
for k in request.GET if k not in ['split_type', 'entity_id']
}
filter_dict['team_id'] = request.GET.get('entity_id')
log.debug(filter_dict)
model = get_model(prefix="Team", middle=split_type, suffix="Split")
splits = model.objects.filter(**filter_dict).order_by('season_id')
model_fields_dict = get_user_exposed_model_fields(
model,
translation_style="upper",
exclude=[k
for k in filter_dict] + ['measure_type', 'season_id', 'team'])
serialize_fields = [d['field_name'] for d in model_fields_dict]
raw_data = simplejson.loads(
serializers.serialize('json', splits, fields=serialize_fields))
splits_json = [entry['fields'] for entry in raw_data]
data = {'model_fields': model_fields_dict, 'splits': splits_json}
return JsonResponse(data)
def __init__(self, position, lup_date, scoring_settings, entry=None):
# TODO: Right now scoring fields will come out in random order.
# Maybe we can assign an ordering at creation of scoring settings?
self.position = position
self.display_position = POSITION_ORDER.get(position)[1]
self.matchup = ""
self.matchup_status = ""
if entry is None:
self.player = "None"
self.player_id = 0
self.team = "N/A"
self.eligibility_classes = " ".join(
["elig-" + str(x) for x in POSITION_ORDER.get(position)[2]])
for fld in scoring_settings.scoring_fields_vals:
setattr(self, fld, "")
else:
self.player = entry.player.display_first_last
self.player_id = entry.player.id
self.team = entry.player.team.abbreviation
self.eligibility_classes = " ".join([
"elig-" + x
for x in entry.player.numbered_positions.split(",")[:-1]
])
base_box_score = PlayerTraditionalBoxScore.objects.filter(
player=entry.player, game__game_date_est=lup_date)
if base_box_score.exists():
self.matchup = base_box_score.first().matchup
self.matchup_status = base_box_score.first(
).game.game_status_text
split_fields_dict = defaultdict(list)
for fld in scoring_settings.scoring_fields_vals:
split_type, field = fld.split("__")
split_fields_dict[split_type].append(field)
for split_type in split_fields_dict:
fields = split_fields_dict[split_type]
if split_type in [
'PlayerTracking', 'PlayerFourFactors',
'PlayerHustleStats'
]:
suffix = "BoxScore"
for fld in fields:
setattr(self, split_type + "__" + fld, "TODO")
continue
else:
suffix = "Split"
model = get_model(middle=split_type, suffix=suffix)
year = determine_season_for_date(lup_date)
season = make_season_str(year)
season_long_vals = model.objects.filter(
season_id=year,
player=entry.player,
season_type="Regular Season",
per_mode="PerGame",
group_set="Overall",
group_value=season).values(*fields)
if season_long_vals.exists():
split = season_long_vals.first()
for fld in fields:
log.debug((split_type, fld, split[fld]))
setattr(self, split_type + "__" + fld, split[fld])
def fetch_raw_data(self,
season=None,
season_type=REGULAR_SEASON,
pt_measure_type=SPEED_DISTANCE,
per_mode=TOTALS,
group_set="Overall",
group_value=None):
self.raw_data = []
self.pt_measure_type = pt_measure_type
if self.pt_measure_type in ["CatchShoot", "PullUpShot"]:
middle = "ShotType"
elif "Touch" in self.pt_measure_type or "Drive" in self.pt_measure_type:
middle = "Touch"
else:
middle = self.pt_measure_type
self.model = get_model(prefix="Player",
middle=middle,
suffix="Tracking")
# Silly way to do this, I know
url = self.base_url + self.endpoint
if season is None:
season = make_season_str(determine_season_for_date(date.today()))
if group_set == "Overall" and group_value is None:
group_value = season
self.params['Season'] = str(season)
self.params['SeasonType'] = season_type
self.params['PerMode'] = per_mode
self.params['PtMeasureType'] = pt_measure_type
if group_set != "Overall":
self.params[group_set] = group_value
if group_set != "Month":
group_value = GROUP_VALUES[group_value]
log.debug(("Fetching Player Stats: ", season, season_type,
pt_measure_type, per_mode, group_set, group_value))
raw_json = get_json_response(url, self.params)
rset = raw_json['resultSets'][0]
player_rows = dictify(result_set=rset)
processed_rows = []
for row in player_rows:
row['PLAYER'] = Player.objects.get(player_id=row['PLAYER_ID'])
row['GROUP_SET'] = group_set
row['SEASON'] = season
row['SEASON_TYPE'] = season_type
row['PT_MEASURE_TYPE'] = pt_measure_type
row['PER_MODE'] = per_mode
if group_set == "Month":
row['GROUP_VALUE'] = REVERSE_MONTH_MAP[group_value]
else:
row['GROUP_VALUE'] = group_value
if self.pt_measure_type in ["CatchShoot", "PullUpShot"]:
row = convert_shot_type_dict_to_apex(row)
elif "Touch" in self.pt_measure_type or "Drive" in self.pt_measure_type:
row = convert_touch_dict_to_apex(row)
proc_row = convert_dict_keys_to_lowercase(
row, override_list=['GROUP_SET', 'GROUP_VALUE'])
processed_rows.append(proc_row)
self.raw_data = processed_rows
