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# SPDX-License-Identifier: Apache-2.0
# Copyright 2020 Contributors to OpenLEADR
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from datetime import datetime, timedelta, timezone
from dataclasses import is_dataclass, asdict
from collections import OrderedDict
from openleadr import enums, objects
import asyncio
import os
import re
import ssl
import hashlib
import uuid
import logging
logger = logging.getLogger('openleadr')
DATETIME_FORMAT = "%Y-%m-%dT%H:%M:%S.%fZ"
DATETIME_FORMAT_NO_MICROSECONDS = "%Y-%m-%dT%H:%M:%SZ"
def generate_id(*args, **kwargs):
"""
Generate a string that can be used as an identifier in OpenADR messages.
"""
return str(uuid.uuid4())
def flatten_xml(message):
"""
Flatten the entire XML structure.
"""
lines = [line.strip() for line in message.split("\n") if line.strip() != ""]
for line in lines:
line = re.sub(r'\n', '', line)
line = re.sub(r'\s\s+', ' ', line)
return "".join(lines)
def normalize_dict(ordered_dict):
"""
Main conversion function for the output of xmltodict to the OpenLEADR
representation of OpenADR contents.
:param ordered_dict dict: The OrderedDict, dict or dataclass that you wish to convert.
"""
if is_dataclass(ordered_dict):
ordered_dict = asdict(ordered_dict)
def normalize_key(key):
if key.startswith('oadr'):
key = key[4:]
elif key.startswith('ei'):
key = key[2:]
# Don't normalize the measurement descriptions
if key in enums._MEASUREMENT_NAMESPACES:
return key
key = re.sub(r'([a-z])([A-Z])', r'\1_\2', key)
if '-' in key:
key = key.replace('-', '_')
return key.lower()
d = {}
for key, value in ordered_dict.items():
# Interpret values from the dict
if key.startswith("@"):
continue
key = normalize_key(key)
if isinstance(value, (OrderedDict, dict)):
d[key] = normalize_dict(value)
elif isinstance(value, list):
d[key] = []
for item in value:
if isinstance(item, (OrderedDict, dict)):
dict_item = normalize_dict(item)
d[key].append(normalize_dict(dict_item))
else:
d[key].append(item)
elif key in ("duration", "startafter", "max_period", "min_period"):
d[key] = parse_duration(value)
elif ("date_time" in key or key == "dtstart") and isinstance(value, str):
d[key] = parse_datetime(value)
elif value in ('true', 'false'):
d[key] = parse_boolean(value)
elif isinstance(value, str):
if re.match(r'^-?\d+$', value):
d[key] = int(value)
elif re.match(r'^-?[\d.]+$', value):
d[key] = float(value)
else:
d[key] = value
else:
d[key] = value
# Do our best to make the dictionary structure as pythonic as possible
if key.startswith("x_ei_"):
d[key[5:]] = d.pop(key)
key = key[5:]
# Group all targets as a list of dicts under the key "target"
if key == 'target':
targets = d.pop(key)
new_targets = []
if targets:
for ikey in targets:
if isinstance(targets[ikey], list):
new_targets.extend([{ikey: value} for value in targets[ikey]])
else:
new_targets.append({ikey: targets[ikey]})
d[key + "s"] = new_targets
key = key + "s"
# Also add a targets_by_type element to this dict
# to access the targets in a more convenient way.
d['targets_by_type'] = group_targets_by_type(new_targets)
# Group all reports as a list of dicts under the key "pending_reports"
if key == "pending_reports":
# If there are pending reports, turn them into a list of dicts,
# each with a single 'report_request_id' key.
if isinstance(d[key], dict) and 'report_request_id' in d[key]:
# If there is only one report_request_id, make sure it is
# turned into a list before further processing.
if not isinstance(d[key]['report_request_id'], list):
d[key]['report_request_id'] = [d[key]['report_request_id']]
# When collecting the report_request_ids, make sure even numeric
# ids get turned into strings.
d[key] = [{'report_request_id': str(rrid)}
for rrid in d[key]['report_request_id']
if d[key]['report_request_id'] is not None]
# If there are no pending reports, make sure we get an empty list back
# so any iteration can proceed as normal.
elif d[key] is None:
d[key] = []
# Group all events al a list of dicts under the key "events"
elif key == "event" and isinstance(d[key], list):
events = d.pop("event")
new_events = []
for event in events:
new_event = event['event']
new_event['response_required'] = event['response_required']
new_events.append(new_event)
d["events"] = new_events
# If there's only one event, also put it into a list
elif key == "event" and isinstance(d[key], dict) and "event" in d[key]:
oadr_event = d.pop('event')
ei_event = oadr_event['event']
ei_event['response_required'] = oadr_event['response_required']
d['events'] = [ei_event]
elif key in ("request_event", "created_event") and isinstance(d[key], dict):
d = d[key]
# Plurarize some lists
elif key in ('report_request', 'report', 'specifier_payload'):
if isinstance(d[key], list):
d[key + 's'] = d.pop(key)
else:
d[key + 's'] = [d.pop(key)]
elif key in ('report_description', 'event_signal'):
descriptions = d.pop(key)
if not isinstance(descriptions, list):
descriptions = [descriptions]
for description in descriptions:
# We want to make the identification of the measurement universal
for measurement in enums._MEASUREMENT_NAMESPACES:
if measurement in description:
name, item = measurement, description.pop(measurement)
break
else:
break
item['description'] = item.pop('item_description', None)
item['unit'] = item.pop('item_units', None)
if 'si_scale_code' in item:
item['scale'] = item.pop('si_scale_code')
if 'pulse_factor' in item:
item['pulse_factor'] = item.pop('pulse_factor')
description['measurement'] = {'name': name,
**item}
d[key + 's'] = descriptions
# Promote the contents of the Qualified Event ID
elif key == "qualified_event_id" and isinstance(d['qualified_event_id'], dict):
qeid = d.pop('qualified_event_id')
d['event_id'] = qeid['event_id']
d['modification_number'] = qeid['modification_number']
# Durations are encapsulated in their own object, remove this nesting
elif isinstance(d[key], dict) and "duration" in d[key] and len(d[key]) == 1:
d[key] = d[key]["duration"]
# In general, remove all double nesting
elif isinstance(d[key], dict) and key in d[key] and len(d[key]) == 1:
d[key] = d[key][key]
# In general, remove the double nesting of lists of items
elif isinstance(d[key], dict) and key[:-1] in d[key] and len(d[key]) == 1:
if isinstance(d[key][key[:-1]], list):
d[key] = d[key][key[:-1]]
else:
d[key] = [d[key][key[:-1]]]
# Payload values are wrapped in an object according to their type. We don't need that.
elif key in ("signal_payload", "current_value"):
value = d[key]
if isinstance(d[key], dict):
if 'payload_float' in d[key] and 'value' in d[key]['payload_float'] \
and d[key]['payload_float']['value'] is not None:
d[key] = float(d[key]['payload_float']['value'])
elif 'payload_int' in d[key] and 'value' in d[key]['payload_int'] \
and d[key]['payload_int'] is not None:
d[key] = int(d[key]['payload_int']['value'])
# Report payloads contain an r_id and a type-wrapped payload_float
elif key == 'report_payload':
if 'payload_float' in d[key] and 'value' in d[key]['payload_float']:
v = d[key].pop('payload_float')
d[key]['value'] = float(v['value'])
elif 'payload_int' in d[key] and 'value' in d[key]['payload_int']:
v = d[key].pop('payload_float')
d[key]['value'] = int(v['value'])
# All values other than 'false' must be interpreted as True for testEvent (rule 006)
elif key == 'test_event' and not isinstance(d[key], bool):
d[key] = True
# Promote the 'text' item
elif isinstance(d[key], dict) and "text" in d[key] and len(d[key]) == 1:
if key == 'uid':
d[key] = int(d[key]["text"])
else:
d[key] = d[key]["text"]
# Promote a 'date-time' item
elif isinstance(d[key], dict) and "date_time" in d[key] and len(d[key]) == 1:
d[key] = d[key]["date_time"]
# Promote 'properties' item, discard the unused? 'components' item
elif isinstance(d[key], dict) and "properties" in d[key] and len(d[key]) <= 2:
d[key] = d[key]["properties"]
# Remove all empty dicts
elif isinstance(d[key], dict) and len(d[key]) == 0:
d.pop(key)
return d
def parse_datetime(value):
"""
Parse an ISO8601 datetime into a datetime.datetime object.
"""
matches = re.match(r'(\d{4})-(\d{2})-(\d{2})T(\d{2}):(\d{2}):(\d{2})\.?(\d{1,6})?\d*Z', value)
if matches:
year, month, day, hour, minute, second = (int(value)for value in matches.groups()[:-1])
micro = matches.groups()[-1]
if micro is None:
micro = 0
else:
micro = int(micro + "0" * (6 - len(micro)))
return datetime(year, month, day, hour, minute, second, micro, tzinfo=timezone.utc)
else:
logger.warning(f"parse_datetime: {value} did not match format")
return value
def parse_duration(value):
"""
Parse a RFC5545 duration.
"""
if isinstance(value, timedelta):
return value
regex = r'(\+|\-)?P(?:(?:(\d+)Y)?(?:(\d+)M)?(?:(\d+)D)?T?(?:(\d+)H)?(?:(\d+)M)?(?:(\d+)S)?)|(?:(\d+)W)'
matches = re.match(regex, value)
if not matches:
raise ValueError(f"The duration '{value}' did not match the requested format")
years, months, days, hours, minutes, seconds, weeks = (int(g) if g else 0 for g in matches.groups()[1:])
if years != 0:
logger.warning("Received a duration that specifies years, which is not a determinate duration. "
"It will be interpreted as 1 year = 365 days.")
days = days + 365 * years
if months != 0:
logger.warning("Received a duration that specifies months, which is not a determinate duration "
"It will be interpreted as 1 month = 30 days.")
days = days + 30 * months
duration = timedelta(weeks=weeks, days=days, hours=hours, minutes=minutes, seconds=seconds)
if matches.groups()[0] == "-":
duration = -1 * duration
return duration
def parse_boolean(value):
if value == 'true':
return True
else:
return False
def datetimeformat(value, format=DATETIME_FORMAT):
"""
Format a given datetime as a UTC ISO3339 string.
"""
if not isinstance(value, datetime):
return value
return value.astimezone(timezone.utc).strftime(format)
def timedeltaformat(value):
"""
Format a timedelta to a RFC5545 Duration.
"""
if not isinstance(value, timedelta):
return value
days = value.days
hours, seconds = divmod(value.seconds, 3600)
minutes, seconds = divmod(seconds, 60)
formatted = "P"
if days:
formatted += f"{days}D"
if hours or minutes or seconds:
formatted += "T"
if hours:
formatted += f"{hours}H"
if minutes:
formatted += f"{minutes}M"
if seconds:
formatted += f"{seconds}S"
return formatted
def booleanformat(value):
"""
Format a boolean value
"""
if isinstance(value, bool):
if value is True:
return "true"
elif value is False:
return "false"
elif value in ("true", "false"):
return value
else:
raise ValueError(f"A boolean value must be provided, not {value}.")
def ensure_bytes(obj):
"""
Converts a utf-8 str object to bytes.
"""
if obj is None:
return obj
if isinstance(obj, bytes):
return obj
if isinstance(obj, str):
return bytes(obj, 'utf-8')
else:
raise TypeError("Must be bytes or str")
def ensure_str(obj):
"""
Converts bytes to a utf-8 string.
"""
if obj is None:
return None
if isinstance(obj, str):
return obj
if isinstance(obj, bytes):
return obj.decode('utf-8')
else:
raise TypeError("Must be bytes or str")
def certificate_fingerprint_from_der(der_bytes):
hash_ = hashlib.sha256(der_bytes).digest().hex()
return ":".join([hash_[i:i+2].upper() for i in range(44, 64, 2)])
def certificate_fingerprint(certificate_str):
"""
Calculate the fingerprint for the given certificate, as defined by OpenADR.
"""
der_bytes = ssl.PEM_cert_to_DER_cert(ensure_str(certificate_str))
return certificate_fingerprint_from_der(der_bytes)
def certificate_domain(cert):
from cryptography import x509
from cryptography.hazmat.backends import default_backend
if os.path.exists(cert):
with open(cert) as file:
cert = file.read()
elif cert.startswith(b"-----BEGIN CERTIFICATE-----"):
pass
else:
raise ValueError("Could not read certificate when attempting "
"to determine the domain for it. Certificate "
"should be a file or a PEM-encoded string.")
parsed_certificate = x509.load_pem_x509_certificate(cert, default_backend())
domains = parsed_certificate.subject.get_attributes_for_oid(x509.oid.NameOID.COMMON_NAME)
return ", ".join([domain.value for domain in domains])
def extract_pem_cert(tree):
"""
Extract a given X509 certificate inside an XML tree and return the standard
form of a PEM-encoded certificate.
:param tree lxml.etree: The tree that contains the X509 element. This is
usually the KeyInfo element from the XMLDsig Signature
part of the message.
"""
cert = tree.find('.//{http://www.w3.org/2000/09/xmldsig#}X509Certificate').text
if not cert.endswith("\n"):
cert = cert + "\n"
return "-----BEGIN CERTIFICATE-----\n" + cert + "-----END CERTIFICATE-----\n"
def find_by(dict_or_list, key, value, *args):
"""
Find a dict inside a dict or list by key, value properties.
You can search for a nesting by separating the levels with a period (.).
"""
search_params = [(key, value)]
if args:
search_params += [(args[i], args[i+1]) for i in range(0, len(args), 2)]
if isinstance(dict_or_list, dict):
dict_or_list = dict_or_list.values()
for item in dict_or_list:
for key, value in search_params:
_item = item
keys = key.split(".")
for key in keys[:-1]:
if not hasmember(_item, key):
break
_item = getmember(_item, key)
key = keys[-1]
if isinstance(value, tuple):
if not hasmember(_item, key) or getmember(_item, key) not in value:
break
else:
if not hasmember(_item, key) or getmember(_item, key) != value:
break
else:
return item
else:
return None
def group_by(list_, key, pop_key=False):
"""
Return a dict that groups values
"""
grouped = {}
key_path = key.split(".")
for item in list_:
value = item
for key in key_path:
value = value.get(key)
if value not in grouped:
grouped[value] = []
grouped[value].append(item)
return grouped
def pop_by(list_, key, value, *args):
"""
Pop the first item that satisfies the search params from the given list.
"""
item = find_by(list_, key, value, *args)
if item:
index = list_.index(item)
list_.pop(index)
return item
def cron_config(interval, randomize_seconds=False):
"""
Returns a dict with cron settings for the given interval
"""
if interval < timedelta(minutes=1):
second = f"*/{interval.seconds}"
minute = "*"
hour = "*"
elif interval < timedelta(hours=1):
second = "0"
minute = f"*/{int(interval.total_seconds()/60)}"
hour = "*"
elif interval < timedelta(hours=24):
second = "0"
minute = "0"
hour = f"*/{int(interval.total_seconds()/3600)}"
else:
second = "0"
minute = "0"
hour = "0"
cron_config = {"second": second, "minute": minute, "hour": hour}
if randomize_seconds:
jitter = min(int(interval.total_seconds() / 10), 300)
cron_config['jitter'] = jitter
return cron_config
def get_cert_fingerprint_from_request(request):
ssl_object = request.transport.get_extra_info('ssl_object')
if ssl_object:
der_bytes = ssl_object.getpeercert(binary_form=True)
if der_bytes:
return certificate_fingerprint_from_der(der_bytes)
def group_targets_by_type(list_of_targets):
targets_by_type = {}
for target in list_of_targets:
for key, value in target.items():
if value is None:
continue
if key not in targets_by_type:
targets_by_type[key] = []
targets_by_type[key].append(value)
return targets_by_type
def ungroup_targets_by_type(targets_by_type):
ungrouped_targets = []
for target_type, targets in targets_by_type.items():
if isinstance(targets, list):
for target in targets:
ungrouped_targets.append({target_type: target})
elif isinstance(targets, str):
ungrouped_targets.append({target_type: targets})
return ungrouped_targets
def validate_report_measurement_dict(measurement):
from openleadr.enums import _ACCEPTABLE_UNITS, _MEASUREMENT_DESCRIPTIONS
if 'name' not in measurement \
or 'description' not in measurement \
or 'unit' not in measurement:
raise ValueError("The measurement dict must contain the following keys: "
"'name', 'description', 'unit'. Please correct this.")
name = measurement['name']
description = measurement['description']
unit = measurement['unit']
# Validate the item name and description match
if name in _MEASUREMENT_DESCRIPTIONS:
required_description = _MEASUREMENT_DESCRIPTIONS[name]
if description != required_description:
if description.lower() == required_description.lower():
logger.warning(f"The description for the measurement with name '{name}' "
f"was not in the correct case; you provided '{description}' but "
f"it should be '{required_description}'. "
"This was automatically corrected.")
measurement['description'] = required_description
else:
raise ValueError(f"The measurement's description '{description}' "
f"did not match the expected description for this type "
f" ('{required_description}'). Please correct this, or use "
"'customUnit' as the name.")
if unit not in _ACCEPTABLE_UNITS[name]:
raise ValueError(f"The unit '{unit}' is not acceptable for measurement '{name}'. Allowed "
f"units are: '" + "', '".join(_ACCEPTABLE_UNITS[name]) + "'.")
else:
if name != 'customUnit':
logger.warning(f"You provided a measurement with an unknown name {name}. "
"This was corrected to 'customUnit'. Please correct this in your "
"report definition.")
measurement['name'] = 'customUnit'
if 'power' in name:
if 'power_attributes' in measurement:
power_attributes = measurement['power_attributes']
if 'voltage' not in power_attributes \
or 'ac' not in power_attributes \
or 'hertz' not in power_attributes:
raise ValueError("The power_attributes of the measurement must contain the "
"following keys: 'voltage' (int), 'ac' (bool), 'hertz' (int).")
else:
raise ValueError("A 'power' related measurement must contain a "
"'power_attributes' section that contains the following "
"keys: 'voltage' (int), 'ac' (boolean), 'hertz' (int)")
def get_active_period_from_intervals(intervals, as_dict=True):
if is_dataclass(intervals[0]):
intervals = [asdict(i) for i in intervals]
period_start = min([i['dtstart'] for i in intervals])
period_duration = max([i['dtstart'] + i['duration'] - period_start for i in intervals])
if as_dict:
return {'dtstart': period_start,
'duration': period_duration}
else:
from openleadr.objects import ActivePeriod
return ActivePeriod(dtstart=period_start, duration=period_duration)
def determine_event_status(active_period):
now = datetime.now(timezone.utc)
active_period_start = getmember(active_period, 'dtstart')
if active_period_start.tzinfo is None:
active_period_start = active_period_start.astimezone(timezone.utc)
setmember(active_period, 'dtstart', active_period_start)
active_period_end = active_period_start + getmember(active_period, 'duration')
if now >= active_period_end and getmember(active_period, 'duration').total_seconds() > 0:
return 'completed'
if now >= active_period_start:
return 'active'
if getmember(active_period, 'ramp_up_period', missing=None) is not None:
ramp_up_start = active_period_start - getmember(active_period, 'ramp_up_period')
if now >= ramp_up_start:
return 'near'
return 'far'
def hasmember(obj, member):
"""
Check if a dict or dataclass has the given member
"""
if is_dataclass(obj):
if hasattr(obj, member):
return True
else:
if member in obj:
return True
return False
def getmember(obj, member, missing='_RAISE_'):
"""
Get a member from a dict or dataclass. Nesting is possible.
"""
def getmember_inner(obj, member, missing='_RAISE_'):
if is_dataclass(obj):
if not missing == '_RAISE_' and not hasattr(obj, member):
return missing
else:
return getattr(obj, member)
else:
if missing == '_RAISE_':
return obj[member]
else:
return obj.get(member, missing)
for m in member.split("."):
obj = getmember_inner(obj, m, missing=missing)
return obj
def setmember(obj, member, value):
"""
Set a member of a dict of dataclass
"""
if '.' in member:
members = member.split('.')
obj = getmember(obj, ".".join(members[:-1]))
member = members[-1]
if is_dataclass(obj):
setattr(obj, member, value)
else:
obj[member] = value
def validate_report_request_tuples(list_of_report_requests, mode='full'):
if len(list_of_report_requests) == 0:
return
for report_requests in list_of_report_requests:
if report_requests is None:
continue
for i, rrq in enumerate(report_requests):
if rrq is None:
continue
# Check if it is a tuple
elif not isinstance(rrq, tuple):
report_requests[i] = None
if mode == 'full':
logger.error("Your on_register_report handler did not return a list of tuples. "
f"The first item from the list was '{rrq}' ({rrq.__class__.__name__}).")
else:
logger.error("Your on_register_report handler did not return a tuple. "
f"It returned '{rrq}'. Please see the documentation for the correct format.")
# Check if it has the correct length
elif not len(rrq) in (3, 4):
report_requests[i] = None
if mode == 'full':
logger.error("Your on_register_report handler returned tuples of the wrong length. "
f"It should be 3 or 4. It returned: '{rrq}'.")
else:
logger.error("Your on_register_report handler returned a tuple of the wrong length. "
f"It should be 2 or 3. It returned: '{rrq[1:]}'.")
# Check if the first element is callable
elif not callable(rrq[1]):
report_requests[i] = None
if mode == 'full':
logger.error(f"Your on_register_report handler did not return the correct tuple. "
"It should return a list of (r_id, callback, sampling_interval) or "
"(r_id, callback, sampling_interval, reporting_interval) tuples, where "
"the r_id is a string, callback is a callable function or coroutine, and "
"sampling_interval and reporting_interval are of type datetime.timedelta. "
f"It returned: '{rrq}'. The second element was not callable.")
else:
logger.error(f"Your on_register_report handler did not return the correct tuple. "
"It should return a (callback, sampling_interval) or "
"(callback, sampling_interval, reporting_interval) tuple, where "
"the callback is a callable function or coroutine, and "
"sampling_interval and reporting_interval are of type datetime.timedelta. "
f"It returned: '{rrq[1:]}'. The first element was not callable.")
# Check if the second element is a timedelta
elif not isinstance(rrq[2], timedelta):
report_requests[i] = None
if mode == 'full':
logger.error(f"Your on_register_report handler did not return the correct tuple. "
"It should return a list of (r_id, callback, sampling_interval) or "
"(r_id, callback, sampling_interval, reporting_interval) tuples, where "
"sampling_interval and reporting_interval are of type datetime.timedelta. "
f"It returned: '{rrq}'. The third element was not of type timedelta.")
else:
logger.error(f"Your on_register_report handler did not return the correct tuple. "
"It should return a (callback, sampling_interval) or "
"(callback, sampling_interval, reporting_interval) tuple, where "
"sampling_interval and reporting_interval are of type datetime.timedelta. "
f"It returned: '{rrq[1:]}'. The second element was not of type timedelta.")
# Check if the third element is a timedelta (if it exists)
elif len(rrq) == 4 and not isinstance(rrq[3], timedelta):
report_requests[i] = None
if mode == 'full':
logger.error(f"Your on_register_report handler did not return the correct tuple. "
"It should return a list of (r_id, callback, sampling_interval) or "
"(r_id, callback, sampling_interval, reporting_interval) tuples, where "
"sampling_interval and reporting_interval are of type datetime.timedelta. "
f"It returned: '{rrq}'. The fourth element was not of type timedelta.")
else:
logger.error(f"Your on_register_report handler did not return the correct tuple. "
"It should return a (callback, sampling_interval) or "
"(callback, sampling_interval, reporting_interval) tuple, where "
"sampling_interval and reporting_interval are of type datetime.timedelta. "
f"It returned: '{rrq[1:]}'. The third element was not of type timedelta.")
async def await_if_required(result):
if asyncio.iscoroutine(result):
result = await result
return result
async def gather_if_required(results):
if results is None:
return results
if len(results) > 0:
if not any([asyncio.iscoroutine(r) for r in results]):
results = results
elif all([asyncio.iscoroutine(r) for r in results]):
results = await asyncio.gather(*results)
else:
results = [await await_if_required(result) for result in results]
return results
def order_events(events, limit=None, offset=None):
"""
Order the events according to the OpenADR rules:
- active events before inactive events
- high priority before low priority
- earlier before later
"""
def event_priority(event):
# The default and lowest priority is 0, which we should interpret as a high value.
priority = getmember(event, 'event_descriptor.priority', missing=float('inf'))
if priority == 0:
priority = float('inf')
return priority
if events is None:
return None
if isinstance(events, objects.Event):
events = [events]
elif isinstance(events, dict):
events = [events]
# Update the event statuses
for event in events:
if getmember(event, 'event_descriptor.event_status') != enums.EVENT_STATUS.CANCELLED:
event_status = determine_event_status(getmember(event, 'active_period'))
if getmember(event, 'event_descriptor.event_status') != event_status:
setmember(event, 'event_descriptor.event_status', event_status)
setmember(event, 'event_descriptor.created_date_time', datetime.now(timezone.utc))
# Short circuit if we only have one event:
if len(events) == 1:
return events
# Get all the active events first
active_events = [event for event in events
if getmember(event, 'event_descriptor.event_status') == 'active']
other_events = [event for event in events
if getmember(event, 'event_descriptor.event_status') != 'active']
# Sort the active events by priority
active_events.sort(key=lambda e: event_priority(e))
# Sort the active events by start date
active_events.sort(key=lambda e: getmember(e, 'active_period.dtstart'))
# Sort the non-active events by their start date
other_events.sort(key=lambda e: getmember(e, 'active_period.dtstart'))
ordered_events = active_events + other_events
if limit and offset:
return ordered_events[offset:offset+limit]
return ordered_events
def increment_event_modification_number(event):
"""
Increments the modification number of the event by 1 and returns the new modification number.
"""
modification_number = getmember(event, 'event_descriptor.modification_number') + 1
setmember(event, 'event_descriptor.modification_number', modification_number)
return modification_number
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