def split_key(keychain, reference):
key = ''.join(keychain[-1:])
ref_value = get_value(reference, safe(keychain))
dp.delete(reference, safe(keychain))
keychain.pop()
keychain.extend(key.split(".", maxsplit=1))
dp.new(reference, safe(keychain), ref_value)
def map(self, from_, to, separator='/', skip_missing=ZATO_NOT_GIVEN, default=ZATO_NOT_GIVEN):
""" Maps 'from_' into 'to', splitting from using the 'separator' and applying
transformation functions along the way.
"""
if skip_missing == ZATO_NOT_GIVEN:
skip_missing = self.skip_missing
if default == ZATO_NOT_GIVEN:
default = self.default
# Store for later use, such as in log entries.
orig_from = from_
force_func = None
force_func_name = None
needs_time_reformat = False
from_format, to_format = None, None
# Perform any string substitutions first.
if self.subs:
from_.format(**self.subs)
to.format(**self.subs)
# Pick at most one processing functions.
for key in self.func_keys:
if from_.startswith(key):
from_ = from_.replace('{}:'.format(key), '', 1)
force_func = self.funcs[key]
force_func_name = key
break
# Perhaps it's a date value that needs to be converted.
if from_.startswith('time:'):
needs_time_reformat = True
from_format, from_ = self._get_time_format(from_)
to_format, to_ = self._get_time_format(to)
# Obtain the value.
value = self.source.get(from_.split(separator)[1:])
if needs_time_reformat:
value = self.time_util.reformat(value, from_format, to_format)
# Don't return anything if we are to skip missing values
# or, we aren't, return a default value.
if not value:
if skip_missing:
return
else:
value = default if default != ZATO_NOT_GIVEN else value
# We have some value, let's process it using the function found above.
if force_func:
try:
value = force_func(value)
except Exception:
logger.warn('Error in force_func:`%s` `%s` over `%s` in `%s` -> `%s` e:`%s`',
force_func_name, force_func, value, orig_from, to, format_exc())
raise
dpath_util.new(self.target, to, value)
def _set_if_absent(d, path, value):
if '*' in path:
[pre, post] = path.split('*')
elem_count = len(du.values(d, f'{pre}*'))
for i in range(elem_count):
_set_if_absent(d, f'{pre}{i}{post}', value)
elif du.search(d, path) == {}:
du.new(d, path, value())
def create(self, user_id, challenge_id, stack, service, flag=True):
result = {'id': self.ids.encode(user_id, challenge_id)}
name = stack_name(user_id, challenge_id)
if name in self.stacks.ls():
raise InstanceExistsError(
f'An instance of challenge ID {challenge_id} already exists for user ID {user_id}'
)
self.ensure_gateway_up(user_id)
stack_context = {
'chad_id': result['id'],
'chad_docker_registry': self.docker_registry
}
stack_template = Template(json.dumps(stack))
stack = json.loads(stack_template.safe_substitute(**stack_context))
# Docker Swarm overlay networks don't F*****G SUPPORT MULTICAST
dpath.new(
stack, f'networks/challenge', {
'driver': self.network_plugin,
'external': True,
'name': f'chad_{user_id}'
})
if flag:
if isinstance(flag, str):
result['flag'] = flag
elif flag is True:
result['flag'] = self.flags.next_flag()
elif isinstance(flag, int):
result['flag'] = self.flags.next_flag(flag)
secret_tmp = tempfile.NamedTemporaryFile('w',
prefix='flag',
suffix='.txt',
encoding='ascii')
secret_tmp.write(f'{result["flag"]}\n')
secret_tmp.flush()
dpath.new(stack, 'secrets/flag/file', secret_tmp.name)
dpath.merge(
stack, {
'services': {
service: {
'secrets': [{
'source': 'flag',
'target': 'flag.txt',
'mode': 0o440
}]
}
}
})
self.redis.set(f'{name}_last_ping', int(time.time()))
self.stacks.deploy(name, stack, registry_auth=True)
if flag:
secret_tmp.close()
return result
def unpack(keychain, reference, response):
res_keys = get_value(response, keychain).keys()
table = get_value(reference, safe(keychain)).split(".")[0]
dp.delete(reference, safe(keychain))
for res_key in res_keys:
keychain.append(res_key)
value = "{0}.{1}".format(table, res_key)
dp.new(reference, safe(keychain), value)
keychain.pop()
def _dict_from_object(self, keys, obj, auction_index):
to_patch = {}
for to_key, from_key in keys.items():
try:
value = util.get(obj, from_key.format(auction_index))
except KeyError:
continue
util.new(to_patch, to_key, value)
return to_patch
def add_submission_with(request, username, id_string):
import uuid
import requests
from django.conf import settings
from django.template import loader, Context
from dpath import util as dpath_util
from dict2xml import dict2xml
def geopoint_xpaths(username, id_string):
d = DataDictionary.objects.get(user__username=username,
id_string=id_string)
return [
e.get_abbreviated_xpath() for e in d.get_survey_elements()
if e.bind.get(u'type') == u'geopoint'
]
value = request.GET.get('coordinates')
xpaths = geopoint_xpaths(username, id_string)
xml_dict = {}
for path in xpaths:
dpath_util.new(xml_dict, path, value)
context = {
'username': username,
'id_string': id_string,
'xml_content': dict2xml(xml_dict)
}
instance_xml = loader.get_template("instance_add.xml").render(
Context(context))
url = settings.ENKETO_API_INSTANCE_IFRAME_URL
return_url = reverse('thank_you_submission',
kwargs={
"username": username,
"id_string": id_string
})
if settings.DEBUG:
openrosa_url = "https://dev.formhub.org/{}".format(username)
else:
openrosa_url = request.build_absolute_uri("/{}".format(username))
payload = {
'return_url': return_url,
'form_id': id_string,
'server_url': openrosa_url,
'instance': instance_xml,
'instance_id': uuid.uuid4().hex
}
r = requests.post(url,
data=payload,
auth=(settings.ENKETO_API_TOKEN, ''),
verify=False)
return HttpResponse(r.text, mimetype='application/json')
def add_submission_with(request, username, id_string):
"""
Returns JSON response with Enketo form url preloaded with coordinates.
"""
def geopoint_xpaths(username, id_string):
"""
Returns xpaths with elements of type 'geopoint'.
"""
data_dictionary = DataDictionary.objects.get(
user__username__iexact=username, id_string__iexact=id_string)
return [
e.get_abbreviated_xpath()
for e in data_dictionary.get_survey_elements()
if e.bind.get(u'type') == u'geopoint'
]
value = request.GET.get('coordinates')
xpaths = geopoint_xpaths(username, id_string)
xml_dict = {}
for path in xpaths:
dpath_util.new(xml_dict, path, value)
context = {
'username': username,
'id_string': id_string,
'xml_content': dict2xml(xml_dict)
}
instance_xml = loader.get_template("instance_add.xml")\
.render(context)
url = settings.ENKETO_API_INSTANCE_IFRAME_URL
return_url = reverse(
'thank_you_submission',
kwargs={"username": username,
"id_string": id_string})
if settings.DEBUG:
openrosa_url = "https://dev.formhub.org/{}".format(username)
else:
openrosa_url = request.build_absolute_uri("/{}".format(username))
payload = {
'return_url': return_url,
'form_id': id_string,
'server_url': openrosa_url,
'instance': instance_xml,
'instance_id': uuid.uuid4().hex
}
response = requests.post(
url,
data=payload,
auth=(settings.ENKETO_API_TOKEN, ''),
verify=getattr(settings, 'VERIFY_SSL', True))
return HttpResponse(response.text, content_type='application/json')
def add_submission_with(request, username, id_string):
"""
Returns JSON response with Enketo form url preloaded with coordinates.
"""
def geopoint_xpaths(username, id_string):
"""
Returns xpaths with elements of type 'geopoint'.
"""
data_dictionary = DataDictionary.objects.get(
user__username__iexact=username, id_string__iexact=id_string)
return [
e.get_abbreviated_xpath()
for e in data_dictionary.get_survey_elements()
if e.bind.get(u'type') == u'geopoint'
]
value = request.GET.get('coordinates')
xpaths = geopoint_xpaths(username, id_string)
xml_dict = {}
for path in xpaths:
dpath_util.new(xml_dict, path, value)
context = {
'username': username,
'id_string': id_string,
'xml_content': dict2xml(xml_dict)
}
instance_xml = loader.get_template("instance_add.xml")\
.render(context)
url = settings.ENKETO_API_INSTANCE_IFRAME_URL
return_url = reverse(
'thank_you_submission',
kwargs={"username": username,
"id_string": id_string})
if settings.DEBUG:
openrosa_url = "https://dev.formhub.org/{}".format(username)
else:
openrosa_url = request.build_absolute_uri("/{}".format(username))
payload = {
'return_url': return_url,
'form_id': id_string,
'server_url': openrosa_url,
'instance': instance_xml,
'instance_id': uuid.uuid4().hex
}
response = requests.post(
url,
data=payload,
auth=(settings.ENKETO_API_TOKEN, ''),
verify=getattr(settings, 'VERIFY_SSL', True))
return HttpResponse(response.text, content_type='application/json')
def store(keychain, reference, response, records): #93.45
log.debug("Store record") #0
ref_values = get_ref(keychain, reference, response, records) #20.26
#print(ref_values)
for ref in ref_values: #105.57
if type(keychain[-1]) is bool: res = keychain[-1] #0
else: res = get_value_store(response, keychain)
if type(res) is bool: res = str(res) #0
dp.new(records, ref, res) #0
add_primary(list(ref), reference, response, records) #39.84
return records
def set(self, name, doc, value, return_on_missing=False, in_place=True):
if return_on_missing:
if not self.get(name, doc):
return doc
pointer = self.data[name]
try:
return pointer.set(doc, value, in_place)
except PathNotFoundException:
dpath_util.new(doc, '/' + '/'.join(pointer.parts), value)
return doc
def set(self, name, doc, value, return_on_missing=False, in_place=True):
if return_on_missing:
if not self.get(name, doc):
return doc
pointer = self.data[name]
try:
return pointer.set(doc, value, in_place)
except PathNotFoundException:
dpath_util.new(doc, '/' + '/'.join(pointer.parts), value)
return doc
def add_primary(ref, reference, response, records):
ref_value = get_value(reference, ["uuid"])
res_value = get_value(response, ["uuid"])
if not ref_value:
ref_value = get_value(reference, ["permalink"])
res_value = get_value(response, ["permalink"])
for key in ref_value:
table, attribute = tuple(key.split("."))
if get_value(records, ref[:-1]):
if ref[0] in table:
ref[2] = attribute
dp.new(records, ref, res_value)
def setval(self, path, val): # Sets/creates key in data to/with value
if self.data is None:
log.debug("Data is empty! Ignoring changes.")
return
elif dpath.set(self.data, path, val):
log.debug("Changed: '%s'.", path)
if self.alog:
log.debug("New value is " + str(val))
else:
dpath.new(self.data, path, val)
log.debug("Created '%s'.", path)
if self.alog:
log.debug("New value is " + str(val))
def create_message(xstream_function: str,
refno='',
ptype='',
polref='',
prospect=None,
risk=None) -> str:
print('Info: creating xstream message')
try:
template = {
'xmlexecute': {
'job': {
'queue': '1'
},
'parameters': {
'yzt': {
'Char20.1': xstream_function
}
},
'apmdata': {
'prospect': {
'p.cm': prospect or {
'refno': refno
}
}
},
'apmpolicy': {
'p.py': {
'polref': polref,
'ptype': ptype
}
}
}
}
if risk:
for risk_frame, risk_fields in risk.items():
dict_xpath.new(
template, 'xmlexecute/apmpolicy/{}'.format(risk_frame),
risk_fields)
parsed_template = xmltodict.unparse(template, full_document=False)
except Exception as e:
print('Error: error in create_message - {}'.format(e))
raise Exception(e)
return parsed_template
def add_submission_with(request, username, id_string):
import uuid
import requests
from django.template import loader, Context
from dpath import util as dpath_util
from dict2xml import dict2xml
def geopoint_xpaths(username, id_string):
d = DataDictionary.objects.get(
user__username__iexact=username, id_string__exact=id_string)
return [e.get_abbreviated_xpath()
for e in d.get_survey_elements()
if e.bind.get(u'type') == u'geopoint']
value = request.GET.get('coordinates')
xpaths = geopoint_xpaths(username, id_string)
xml_dict = {}
for path in xpaths:
dpath_util.new(xml_dict, path, value)
context = {'username': username,
'id_string': id_string,
'xml_content': dict2xml(xml_dict)}
instance_xml = loader.get_template("instance_add.xml")\
.render(Context(context))
url = settings.ENKETO_API_INSTANCE_IFRAME_URL
return_url = reverse('thank_you_submission',
kwargs={"username": username, "id_string": id_string})
if settings.DEBUG:
openrosa_url = "https://dev.formhub.org/{}".format(username)
else:
openrosa_url = request.build_absolute_uri("/{}".format(username))
payload = {'return_url': return_url,
'form_id': id_string,
'server_url': openrosa_url,
'instance': instance_xml,
'instance_id': uuid.uuid4().hex}
r = requests.post(url, data=payload,
auth=(settings.ENKETO_API_TOKEN, ''), verify=False)
return HttpResponse(r.text, content_type='application/json')
def save_snp_500_tickers(tickers: list) -> None:
"""update the YAML market coordinates config with the SNP500 tickers"""
mkt_class = "equity".upper()
mkt_type = "single stock".upper()
market_coordinates = mkt_classes.mkt_data_cfg()
# lets load the defaults and then see if there is tsdb yaml to overwrite base defaults
defaults = mkt_coord_defaults.defaults.copy()
mkt_default_cfg_load = mkt_classes.mkt_defaults_cfg()
dp.merge(defaults, mkt_default_cfg_load)
equity_defaults = [
i for i in dp.search(
defaults, '{0}/{1}'.format(mkt_class, mkt_type), yielded=True)
].pop()[1]
for ticker in tickers:
mkt_asset = ticker
points_default = [
i for i in dp.search(market_coordinates,
'{0}/{1}/{2}/points'.format(
mkt_class, mkt_type, mkt_asset),
yielded=True)
]
points_default = points_default.pop()[1] if len(points_default) else []
points = list(set(points_default))
value = {'points': points}
value.update(equity_defaults)
xpath = '{0}/{1}/{2}'.format(mkt_class, mkt_type, mkt_asset)
dp.new(market_coordinates, xpath, value)
mkt_data_cfg = {
'market_coordinates': market_coordinates,
'defaults': defaults
}
with open(mkt_classes.tsdb_path() + 'market_coord_cfg.YAML', "w") as f:
yaml.dump(mkt_data_cfg, f)
"added snp500 tickers to the config"
async def get_gm_borders(gm_data: dict):
gm_table_info = {}
for index, region in enumerate(REGIONS):
# No GM data could be retrieved
if not gm_data[index]:
continue
ladder_teams = gm_data[index]["ladderTeams"]
rank190: list = deepcopy(ladder_teams)
# Sometimes, some players don't seem to have mmr
rank190 = [i for i in rank190 if "mmr" in i]
# Sort descending
rank190.sort(key=lambda x: x["mmr"], reverse=True)
rank190 = rank190[:190]
# GM somehow doesnt have at least one member
if not rank190:
continue
max_mmr = rank190[0]["mmr"]
min_mmr = rank190[-1]["mmr"]
new(gm_table_info, ["201", "6", "0", region, "min_rating"], min_mmr)
new(gm_table_info, ["201", "6", "0", region, "max_rating"], max_mmr)
return gm_table_info
def convert_dataframe_to_dict(df):
temp_dict = df.to_dict(orient='index', into=OrderedDict)
out = []
for county_precinct, cols in temp_dict.items():
row = OrderedDict()
row[df.index.names[0]] = county_precinct[0]
row[df.index.names[1]] = county_precinct[1]
top_headers = [
_ for _ in list(set(header[0] for header in cols.keys()))
]
sorted_top_header = get_top_headers_sorted_by_std_order(top_headers)
for top_header in sorted_top_header:
row[top_header] = OrderedDict()
for header, val in cols.items():
if header[1] == '':
header = [header[0]]
du.new(row, list(header), val)
out.append(row)
return out
def get_config(ctx, self):
if 'specification' not in self.config:
self.config['specification'] = SPECIFCATION_LATEST
if 'source' not in self.config:
dpath_util.new(self.config, 'unikraft/source', self.core.source)
if 'version' not in self.config:
dpath_util.new(self.config, 'unikraft/version', self.core.version)
for arch in self.architectures.all():
dpath_util.new(self.config, 'architectures/%s' % arch.name, True)
for plat in self.platforms.all():
dpath_util.new(self.config, 'platforms/%s' % plat.name, True)
# for lib in self.libraries.all():
# print(lib)
return self.config
def add_log(self, ct, tag, val):
try:
du.get(self.memory, f'/log/{ct}/{tag}').append(val)
except KeyError as e:
du.new(self.memory, f'/log/{ct}/{tag}', [val])
return
def __init__(self, var_names):
self.memory = dict()
du.new(self.memory, '/memory/var_names', sorted(var_names))
return
def set_val(self, ct, tag, variable, value):
if variable not in du.get(self.memory, '/memory/var_names'):
print(f'ValProcessor: {variable} is not in my memory')
du.new(self.memory, f'/data/{ct}/{tag}/{variable}', value)
return
def new(self, file, val): #To easily edit files or folders
filer.new(self.fs, self.formatpath(file), val)
def set(self, to, value):
""" Sets 'to' to a static 'value'.
"""
dpath_util.new(self.target, to, value)
class Mapper(object):
def __init__(self,
source,
target=None,
time_util=None,
skip_missing=True,
default=None,
*args,
**kwargs):
self.target = target if target is not None else {}
self.map_type = kwargs.get('msg_type', MSG_MAPPER.DICT_TO_DICT)
self.skip_ns = kwargs.get('skip_ns', True)
self.time_util = time_util
self.skip_missing = skip_missing
self.default = default
self.subs = {}
self.funcs = {
'int': int,
'long': long,
'bool': asbool,
'dec': Decimal,
'arrow': arrow_get
}
self.func_keys = self.funcs.keys()
self.times = {}
self.cache = {}
if isinstance(source, DictNav):
self.source = source
else:
if self.map_type.startswith('dict-to-'):
self.source = DictNav(source)
def set_time(self, name, format):
self.times[name] = format
def set_substitution(self, name, value):
self.subs[name] = value
def set_func(self, name, func):
self.funcs[name] = func
self.func_keys = self.funcs.keys()
def map(self,
from_,
to,
separator='/',
skip_missing=ZATO_NOT_GIVEN,
default=ZATO_NOT_GIVEN):
""" Maps 'from_' into 'to', splitting from using the 'separator' and applying
transformation functions along the way.
"""
if skip_missing == ZATO_NOT_GIVEN:
skip_missing = self.skip_missing
if default == ZATO_NOT_GIVEN:
default = self.default
# Store for later use, such as in log entries.
orig_from = from_
force_func = None
force_func_name = None
needs_time_reformat = False
from_format, to_format = None, None
# Perform any string substitutions first.
if self.subs:
from_.format(**self.subs)
to.format(**self.subs)
# Pick at most one processing functions.
for key in self.func_keys:
if from_.startswith(key):
from_ = from_.replace('{}:'.format(key), '', 1)
force_func = self.funcs[key]
force_func_name = key
break
# Perhaps it's a date value that needs to be converted.
if from_.startswith('time:'):
needs_time_reformat = True
from_format, from_ = self._get_time_format(from_)
to_format, to_ = self._get_time_format(to)
# Obtain the value.
value = self.source.get(from_.split(separator)[1:])
if needs_time_reformat:
value = self.time_util.reformat(value, from_format, to_format)
# Don't return anything if we are to skip missing values
# or, we aren't, return a default value.
if not value:
if skip_missing:
return
else:
value = default if default != ZATO_NOT_GIVEN else value
# We have some value, let's process it using the function found above.
if force_func:
try:
value = force_func(value)
except Exception, e:
logger.warn(
'Error in force_func:`%s` `%s` over `%s` in `%s` -> `%s` e:`%s`',
force_func_name, force_func, value, orig_from, to,
format_exc(e))
raise
dpath_util.new(self.target, to, value)
async def get_sc2_legacy_ladder_api_data(client: aiohttp.ClientSession,
access_token: str, fetch_delay: float,
prepared_data: dict, gm_data: dict):
url = "https://{}.api.blizzard.com/sc2/legacy/ladder/{}/{}"
# url = f"https://{region}.api.blizzard.com/sc2/legacy/ladder/{region_id}/{ladder_id}"
# Debugging info
profiles_with_no_favorite_race_p1 = 0
total_profiles = 0
# Each table has keys: us, eu, kr
# Table with average games per placement-account
avg_games_table = {}
# Table with averaage winrate per placement-account
avg_winrate_table = {}
# Table with total games
total_games_table = {}
for region_id, region_name in enumerate(REGIONS, start=1):
new_table_avg_games = []
new_table_avg_winrate = []
new_table_total_games = []
for mode in MODES[:1]:
row_number = 0
for league_id, league in enumerate(LEAGUES[:6]):
for tier_id in reversed(range(3)):
# Skip if it doesnt exist, e.g. for GM when GM is locked
if not get(prepared_data,
f"{mode}/{league_id}/{tier_id}",
default={}):
continue
new_row_avg_games = [ROW_DESCRIPTIONS[row_number]]
new_row_avg_winrate = [ROW_DESCRIPTIONS[row_number]]
new_row_total_games = [ROW_DESCRIPTIONS[row_number]]
row_number += 1
# Get normal non-ladder stats
urls = [
url.format(region_name, region_id, ladder_id)
for ladder_id in get(
prepared_data,
f"{mode}/{league_id}/{tier_id}/{region_name}/ladder_ids",
default=[])
]
responses = await fetch_multiple(client, access_token,
urls, fetch_delay)
# Collect games per race, keys are: P, T, Z, R
league_tier_wins = {}
league_tier_losses = {}
league_tier_profiles = {}
for response in responses:
if "ladderMembers" not in response:
logger.error(
f"Error with response, no key found with 'ladderMembers'"
)
continue
for profile in response["ladderMembers"]:
# Ignore profile if buggy (race not shown?)
total_profiles += 1
if "favoriteRaceP1" not in profile:
logger.error(
f"Error with profile in region '{region_name}' - has no 'favoriteRaceP1' entry."
)
profiles_with_no_favorite_race_p1 += 1
continue
wins = profile["wins"]
losses = profile["losses"]
race = profile["favoriteRaceP1"][0]
# Load old data from dict
total_race_wins = get(league_tier_wins,
f"{race}",
default=0)
total_race_losses = get(league_tier_losses,
f"{race}",
default=0)
total_race_profiles = get(league_tier_profiles,
f"{race}",
default=0)
# Store new sum of data
new(league_tier_wins, f"{race}",
total_race_wins + wins)
new(league_tier_losses, f"{race}",
total_race_losses + losses)
new(league_tier_profiles, f"{race}",
total_race_profiles + 1)
# Calculate average games per profile
new_row_avg_games += [
get_avg_games_entry(league_tier_wins,
league_tier_losses,
league_tier_profiles, race)
for race in RACES + ["TOTAL"]
]
new_table_avg_games.append(new_row_avg_games)
# Calculate average winrate per race
new_row_avg_winrate += [
get_avg_winrate_entry(league_tier_wins,
league_tier_losses, race)
for race in RACES
]
new_table_avg_winrate.append(new_row_avg_winrate)
# Calculate total games per race
new_row_total_games += [
get_total_games_entry(league_tier_wins,
league_tier_losses, race)
for race in RACES + ["TOTAL"]
]
new_table_total_games.append(new_row_total_games)
# Add region data
new_table_avg_games.append(STATISTICS_HEADER_WITH_TOTAL)
new_table_avg_games.reverse()
avg_games_table[f"{region_name}"] = new_table_avg_games
new_table_avg_winrate.append(STATISTICS_HEADER)
new_table_avg_winrate.reverse()
avg_winrate_table[f"{region_name}"] = new_table_avg_winrate
new_table_total_games.append(STATISTICS_HEADER_WITH_TOTAL)
new_table_total_games.reverse()
total_games_table[f"{region_name}"] = new_table_total_games
# Add GM stats
await add_gm_stats(gm_data, avg_games_table, total_games_table,
avg_winrate_table)
# Debugging blizzard API
if total_profiles > 0:
_fraction = profiles_with_no_favorite_race_p1 / total_profiles
if profiles_with_no_favorite_race_p1 > 0:
logger.warning(
f"Found {profiles_with_no_favorite_race_p1} / {total_profiles} ({get_percentage(_fraction)}) profiles which are incompletely returned by the legacy API."
)
logger.info(f"Outputting info to 'avg_games_table.json'")
with open("avg_games_table.json", "w") as f:
json.dump(avg_games_table, f, indent=4, sort_keys=True)
logger.info(f"Outputting info to 'avg_winrate_table.json'")
with open("avg_winrate_table.json", "w") as f:
json.dump(avg_winrate_table, f, indent=4, sort_keys=True)
logger.info(f"Outputting info to 'total_games_table.json'")
with open("total_games_table.json", "w") as f:
json.dump(total_games_table, f, indent=4, sort_keys=True)
return {
"avg_games": avg_games_table,
"avg_winrate": avg_winrate_table,
"total_games": total_games_table,
}
def create(self, keypath: str, value: Any) -> None:
'''Create new key/value pair located at path.'''
dpath.new(self, keypath, value, DpathMixin.separator)
def add(self, keypath: str, value: Any) -> None:
'''Add key/value pair located at keypath.'''
dpath.new(self, keypath, value, DpathMixin.separator)
def modify_values_yaml(experiment_folder: str, script_location: str,
script_parameters: Tuple[str, ...],
experiment_name: str, run_name: str, pack_type: str,
cluster_registry_port: int,
pack_params: List[Tuple[str, str]],
env_variables: List[str]):
log.debug("Modify values.yaml - start")
values_yaml_filename = os.path.join(experiment_folder,
f"charts/{pack_type}/values.yaml")
values_yaml_temp_filename = os.path.join(
experiment_folder, f"charts/{pack_type}/values_temp.yaml")
with open(values_yaml_filename, "r") as values_yaml_file:
template = jinja2.Template(values_yaml_file.read())
rendered_values = template.render(
NAUTA={
'ExperimentName':
experiment_name,
'CommandLine':
common.prepare_script_paramaters(script_parameters,
script_location),
'RegistryPort':
str(cluster_registry_port),
'ExperimentImage':
f'127.0.0.1:{cluster_registry_port}/{run_name}',
'ImageRepository':
f'127.0.0.1:{cluster_registry_port}'
})
v = yaml.load(rendered_values)
workersCount = None
pServersCount = None
regex = re.compile(
"^\[.*|^\{.*"
) # Regex used for detecting dicts/arrays in pack params
for key, value in pack_params:
if re.match(regex, value):
try:
value = ast.literal_eval(value)
except Exception as e:
raise AttributeError(
Texts.CANT_PARSE_VALUE.format(value=value, error=e))
# Handle boolean params
elif value in {"true", "false"}:
value = _parse_yaml_boolean(value)
if key == WORK_CNT_PARAM:
workersCount = value
if key == P_SERV_CNT_PARAM:
pServersCount = value
dutil.new(v, key, value, '.')
# setting sum of replicas involved in multinode training if both pServersCount and workersCount are present in
# the pack or given in the cli
if (WORK_CNT_PARAM in v or workersCount) and (P_SERV_CNT_PARAM in v
or pServersCount):
number_of_replicas = int(v.get(
WORK_CNT_PARAM)) if not workersCount else int(workersCount)
number_of_replicas += int(v.get(
P_SERV_CNT_PARAM)) if not pServersCount else int(pServersCount)
v[POD_COUNT_PARAM] = number_of_replicas
if env_variables:
env_list = []
for variable in env_variables:
key, value = variable.split("=")
one_env_map = {"name": key, "value": value}
env_list.append(one_env_map)
if v.get("env"):
v["env"].extend(env_list)
else:
v["env"] = env_list
with open(values_yaml_temp_filename, "w") as values_yaml_file:
yaml.dump(v, values_yaml_file)
shutil.move(values_yaml_temp_filename, values_yaml_filename)
log.debug("Modify values.yaml - end")
def set(self, to, value):
""" Sets 'to' to a static 'value'.
"""
dpath_util.new(self.target, to, value)
def set_service(self, service, value):
du.new(self.memory, f'/service/{service}', value)
return
def make(self, file): #To easily edit files or folders
if "." in file:
filer.new(self.fs, self.formatpath(file), "")
else:
filer.new(self.fs, self.formatpath(file), {})
def spec(self, path, value):
du.new(self._spec, path, value, '.')
def modify_values_yaml(experiment_folder: str, script_location: str, script_parameters: Tuple[str, ...],
experiment_name: str, pack_type: str, username: str,
cluster_registry_port: int, pack_params: List[Tuple[str, str]] = None,
env_variables: List[str] = None):
log.debug("Modify values.yaml - start")
pack_params = pack_params if pack_params else []
values_yaml_filename = os.path.join(experiment_folder, f"charts/{pack_type}/values.yaml")
values_yaml_temp_filename = os.path.join(experiment_folder, f"charts/{pack_type}/values_temp.yaml")
with open(values_yaml_filename, "r") as values_yaml_file:
template = jinja2.Template(values_yaml_file.read())
rendered_values = template.render(NAUTA = {
'ExperimentName': experiment_name,
'CommandLine': common.prepare_script_paramaters(script_parameters, script_location),
'RegistryPort': str(cluster_registry_port),
'ExperimentImage': f'127.0.0.1:{cluster_registry_port}/{username}/{experiment_name}:latest',
'ImageRepository': f'127.0.0.1:{cluster_registry_port}/{username}/{experiment_name}:latest'
})
v = yaml.safe_load(rendered_values)
workersCount = None
pServersCount = None
regex = re.compile(r"^\[.*|^\{.*") # Regex used for detecting dicts/arrays in pack params
for key, value in pack_params:
if re.match(regex, value):
try:
value = ast.literal_eval(value)
except Exception as e:
raise AttributeError(Texts.CANT_PARSE_VALUE.format(value=value, error=e))
# Handle boolean params
elif value in {"true", "false"}:
value = str(_parse_yaml_boolean(value))
if key == WORK_CNT_PARAM:
workersCount = value
if key == P_SERV_CNT_PARAM:
pServersCount = value
dutil.new(v, key, value, '.')
# setting sum of replicas involved in multinode training if both pServersCount and workersCount are present in
# the pack or given in the cli
if (WORK_CNT_PARAM in v or workersCount) and (P_SERV_CNT_PARAM in v or pServersCount):
number_of_replicas = int(v.get(WORK_CNT_PARAM)) if not workersCount else int(workersCount)
number_of_replicas += int(v.get(P_SERV_CNT_PARAM)) if not pServersCount else int(pServersCount)
v[POD_COUNT_PARAM] = number_of_replicas
elif (WORK_CNT_PARAM in v or workersCount) and (POD_COUNT_PARAM not in v):
number_of_replicas = int(v.get(WORK_CNT_PARAM)) if not workersCount else int(workersCount)
v[POD_COUNT_PARAM] = number_of_replicas + 1
env_variables = env_variables if env_variables else []
parsed_envs = []
for variable in env_variables:
key, value = variable.split("=")
one_env_map = {"name": key, "value": value}
parsed_envs.append(one_env_map)
# Set OMP_NUM_THREADS to be equal to cpu limit if it was not explicitly passed
if "OMP_NUM_THREADS" not in (env["name"] for env in parsed_envs):
try:
cpu_limit = calculate_omp_num_threads(v)
if cpu_limit:
parsed_envs.append({"name": "OMP_NUM_THREADS", "value": str(cpu_limit)})
except (ValueError, TypeError, KeyError):
log.exception("Failed to infer OMP_NUM_THREADS value.")
envs_to_set = {'env', 'worker.env', 'master.env'} # Env placeholders in values.yaml that we expect
for env in envs_to_set:
if dutil.search(v, env, separator='.'):
dutil.get(v, env, separator='.').extend(parsed_envs)
with open(values_yaml_temp_filename, "w") as values_yaml_file:
yaml.safe_dump(v, values_yaml_file)
shutil.move(values_yaml_temp_filename, values_yaml_filename)
log.debug("Modify values.yaml - end")