Configuration policies need a way to attach process/service monitors so drift can be evaluated against a machine's desired state. This wires the policy resolver and routes to the shared monitor catalog and adds an action picker UI that can create process monitors with an optional launch path.
227 lines
8.8 KiB
Python
227 lines
8.8 KiB
Python
"""Effective-policy resolution: the single swappable policy entry point.
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This module answers one question for the rest of the system: "given an endpoint,
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what actions apply and how?" It is the boundary the endpoints allowlist seam
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calls - never the policy tables directly - so the policy ASSEMBLY ENGINE can be
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swapped without touching enforcement. Today it folds the local computers-plugin
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tables; a future GE-Enforce integration can replace build_effective_policy (or
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feed it) and every consumer keeps working unchanged.
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Resolution model (per the design):
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- Build an endpoint context (PC type + installed appids) from the Computer row.
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- Walk every active Business Policy in priority order (lower first, ties by id).
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- Within each, walk its Configuration Policies in sortorder.
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- A Configuration Policy contributes only if its scope matches the endpoint.
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- For each action name, FIRST MATCH WINS: once an action is decided it is not
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overridden by a later, lower-priority policy.
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The result is an EffectivePolicy: a flat, resolved map of action name -> decision
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(mode desired/gate, plus desiredstate/params), which is exactly what enforcement
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and the allowlist need.
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"""
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from .policyscope import evaluate_scope
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class EffectiveAction:
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"""One resolved action decision for an endpoint."""
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__slots__ = ('action', 'mode', 'desiredstate', 'params', 'intervalminutes',
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'businesspolicyid', 'configurationpolicyid')
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def __init__(self, action, mode, desiredstate, params, intervalminutes,
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businesspolicyid, configurationpolicyid):
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self.action = action
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self.mode = mode
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self.desiredstate = desiredstate
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self.params = params
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self.intervalminutes = intervalminutes
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self.businesspolicyid = businesspolicyid
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self.configurationpolicyid = configurationpolicyid
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def to_dict(self):
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return {
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'action': self.action,
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'mode': self.mode,
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'desiredstate': self.desiredstate,
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'params': self.params,
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'intervalminutes': self.intervalminutes,
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'businesspolicyid': self.businesspolicyid,
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'configurationpolicyid': self.configurationpolicyid,
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}
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class EffectivePolicy:
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"""The folded, resolved policy for a single endpoint.
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actions maps action name -> EffectiveAction (first-match-wins already
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applied). Convenience views expose the gate allowlist and desired-state set
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that enforcement and the endpoints seam consume.
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"""
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def __init__(self, actions):
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self.actions = actions
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def allowed_actions(self):
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"""Set of action names permitted on this endpoint (gate + desired)."""
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return set(self.actions.keys())
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def desired_actions(self):
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"""action name -> EffectiveAction for mode == 'desired' only."""
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return {name: eff for name, eff in self.actions.items()
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if eff.mode == 'desired'}
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def to_dict(self):
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return {name: eff.to_dict() for name, eff in self.actions.items()}
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def build_endpoint_context(computer):
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"""Resolve a Computer row into the context the scope evaluator needs.
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Returns {'computertypeid': int|None, 'appids': set[int]}.
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"""
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appids = set()
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for link in getattr(computer, 'installedapps', None) or ():
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if getattr(link, 'isactive', True) and link.appid is not None:
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appids.add(link.appid)
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return {
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'computertypeid': getattr(computer, 'computertypeid', None),
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'appids': appids,
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}
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def _iter_matching_configpolicies(business_policies, context):
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"""Yield (businesspolicyid, ConfigurationPolicy) in deterministic order.
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Business Policies by (priority, businesspolicyid); their items by sortorder.
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Only active policies whose scope matches the context are yielded.
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"""
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ordered_bp = sorted(
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business_policies,
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key=lambda bp: (bp.priority, bp.businesspolicyid),
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)
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for business_policy in ordered_bp:
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if not business_policy.isactive:
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continue
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for item in sorted(business_policy.items,
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key=lambda it: (it.sortorder, it.businesspolicyitemid)):
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config_policy = item.configurationpolicy
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if config_policy is None or not config_policy.isactive:
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continue
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if evaluate_scope(config_policy.scopejson, context):
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yield business_policy.businesspolicyid, config_policy
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def build_effective_policy(computer, business_policies):
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"""Fold matching policies into an EffectivePolicy for one endpoint.
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computer: the Computer row. business_policies: iterable of BusinessPolicy
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(with items/configurationpolicy loaded). Pure given its inputs so it stays
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unit-testable and reusable by an alternate assembly engine.
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"""
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context = build_endpoint_context(computer)
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resolved = {}
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for businesspolicyid, config_policy in _iter_matching_configpolicies(
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business_policies, context):
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for action_row in config_policy.actions:
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if not action_row.isactive:
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continue
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name = action_row.action
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if name in resolved:
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# First match wins - a higher-priority policy already decided
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# this action; later policies do not override it.
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continue
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resolved[name] = EffectiveAction(
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action=name,
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mode=action_row.mode,
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desiredstate=action_row.desiredstate,
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params=action_row.params,
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intervalminutes=action_row.intervalminutes,
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businesspolicyid=businesspolicyid,
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configurationpolicyid=config_policy.configurationpolicyid,
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)
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return EffectivePolicy(resolved)
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def effective_policy_for(assetid):
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"""Resolve the effective policy for an endpoint by its assetid.
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This is the public entry point the endpoints plugin calls. It returns an
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empty EffectivePolicy when the feature is off or the asset is not a known
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computer, so callers get a safe "no policy" answer without special-casing.
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NOTE for GE-Enforce interop: this function is the seam. To hand policy
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assembly to GE-Enforce later, replace the body below (or dispatch on source)
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while keeping this signature and the EffectivePolicy return type intact.
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"""
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from ..policyflag import policy_flag_enabled
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if not policy_flag_enabled():
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return EffectivePolicy({})
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from ..models import Computer, BusinessPolicy
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computer = Computer.query.filter_by(assetid=assetid).first()
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if computer is None:
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return EffectivePolicy({})
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business_policies = BusinessPolicy.query.filter_by(isactive=True).all()
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return build_effective_policy(computer, business_policies)
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def _monitor_action_ids(effective):
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"""Extract attached monitor ids from an EffectivePolicy's action names.
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Monitor attachment rides the policy layer as an action named
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'monitor:<endpointmonitorid>' (see plugins/endpoints/commands.py). This
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reads those ids back out of a resolved policy so a caller can turn them into
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concrete monitor definitions.
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"""
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ids = set()
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for name in effective.allowed_actions():
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if isinstance(name, str) and name.startswith('monitor:'):
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raw = name[len('monitor:'):]
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try:
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ids.add(int(raw))
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except (TypeError, ValueError):
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continue
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return ids
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def monitor_ids_for_asset(assetid):
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"""Set of endpointmonitorids attached to an endpoint by effective policy."""
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return _monitor_action_ids(effective_policy_for(assetid))
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def monitor_ids_for_pctype(computertypeid):
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"""Set of endpointmonitorids attached to a PC type by effective policy.
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Folds active Business Policies against a synthetic context carrying only the
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PC type (no installed apps), which is what the agent runtime-fetch path needs
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when it resolves its monitor set by type rather than by a specific asset.
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Returns an empty set when the policy feature is off.
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"""
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from ..policyflag import policy_flag_enabled
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if not policy_flag_enabled():
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return set()
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from ..models import BusinessPolicy
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context = {'computertypeid': computertypeid, 'appids': set()}
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business_policies = BusinessPolicy.query.filter_by(isactive=True).all()
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resolved = {}
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for businesspolicyid, config_policy in _iter_matching_configpolicies(
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business_policies, context):
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for action_row in config_policy.actions:
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if not action_row.isactive:
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continue
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resolved.setdefault(action_row.action, True)
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ids = set()
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for name in resolved:
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if isinstance(name, str) and name.startswith('monitor:'):
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raw = name[len('monitor:'):]
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try:
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ids.add(int(raw))
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except (TypeError, ValueError):
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continue
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return ids
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