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from __future__ import annotations
from copy import deepcopy
import json
from typing import Any, Mapping
import jsonschema
from . import adapter as _adapter
from . import recovery_policy as _policy
from . import stream_runtime as _stream
from .snapshot import validate_snapshot
from .spec import (
BUSINESS_BUDGET, DRIFT_EVENT_ID, EXACT_IDENTITY_READ_COST, EXACT_RULE_READ_COST,
INITIAL_BUDGET, RATE_READ_COST, RETRY_COST, SNAPSHOT_SCHEMA, TARGETS,
TOOL_BY_NAME, provider_tools,
)
def _canonical(value: Any) -> str:
return json.dumps(
value,
ensure_ascii=True,
sort_keys=True,
separators=(",", ":"),
allow_nan=False,
)
def _is_int(value: Any) -> bool:
return type(value) is int
def _source_cell(source: Mapping[str, Any]) -> tuple[str, str]:
return (
_policy.failure_signal_for(dict(source)),
_policy.operation_class_for(str(source.get("operation") or "")),
)
class ApiReliabilityWorld(_stream.PersistentApiReliabilityAdapter):
"""One released world; capability evidence and business state persist together."""
def __init__(self, budget: int = INITIAL_BUDGET, *, snapshot: dict[str, Any] | None = None) -> None:
self.capability_observations: list[dict[str, Any]] = []
super().__init__(budget=budget)
if snapshot is not None:
self.restore(snapshot)
def snapshot(self) -> dict[str, Any]:
value = super().snapshot()
value["schema"] = SNAPSHOT_SCHEMA
value["capability_observations"] = deepcopy(self.capability_observations)
return value
def activate_task(self, task_id: str, allowance: int = BUSINESS_BUDGET, *,
apply_boundary_drift: bool = True) -> dict[str, Any]:
if task_id != "T09" or apply_boundary_drift:
return super().activate_task(task_id, allowance=allowance)
# A researcher-only counterfactual uses the same activation without drift.
already_applied = DRIFT_EVENT_ID in self.applied_boundary_events
self.applied_boundary_events.add(DRIFT_EVENT_ID)
try:
receipt = super().activate_task(task_id, allowance=allowance)
finally:
if not already_applied:
self.applied_boundary_events.remove(DRIFT_EVENT_ID)
receipt["boundary_event_applied"] = False
return receipt
def public_tool_schemas(self, actor: str = _adapter.ROLE) -> list[dict[str, Any]]:
return provider_tools() if actor == _adapter.ROLE else []
def _cost(self, tool: str, arguments: Any) -> int:
if tool in {"list_api_credentials", "list_retry_budgets"}:
return EXACT_IDENTITY_READ_COST
if tool == "inspect_rate_limit_status":
return RATE_READ_COST
if tool == "search_recovery_evidence":
return EXACT_RULE_READ_COST
if tool in {"list_service_integrations", "list_fault_policies", "search_audit_events"}:
return 4
return super()._cost(tool, arguments)
def _observation_is_visible(self, observation: Mapping[str, Any]) -> bool:
if self.active_task_id is None:
return False
targets = TARGETS[self.active_task_id]
kind = observation.get("kind")
if kind in {"credential", "retry_budget"}:
return any(
target["integration_id"] == observation.get("integration_id")
for target in targets
)
if kind == "rate_bucket":
return any(
target["integration_id"] == observation.get("integration_id")
and target["operation"] == observation.get("operation")
for target in targets
)
if kind == "recovery_profile":
return any(
target["failure_signal"] == observation.get("failure_signal")
and target["operation_class"] == observation.get("operation_class")
for target in targets
)
return False
def _scope_matches_active_target(
self, tool: str, arguments: Mapping[str, Any]
) -> bool:
if self.active_task_id is None:
return False
targets = TARGETS[self.active_task_id]
if tool == "list_api_credentials":
return any(
target["integration_id"] == arguments.get("integration_id")
and target["operation"] == arguments.get("scope_contains")
for target in targets
)
if tool == "list_retry_budgets":
return any(
target["integration_id"] == arguments.get("integration_id")
for target in targets
)
if tool == "inspect_rate_limit_status":
return any(
target["integration_id"] == arguments.get("integration_id")
and target["operation"] == arguments.get("operation")
for target in targets
)
if tool == "search_recovery_evidence":
return any(
target["failure_signal"] == arguments.get("failure_signal")
and target["operation_class"] == arguments.get("operation_class")
for target in targets
)
return True
def _append_observation(self, observation: dict[str, Any]) -> None:
if not self._observation_is_visible(observation):
return
self.capability_observations.append(
{
**deepcopy(observation),
"task_id": self.active_task_id,
}
)
def _record_public_observations(self, result: Mapping[str, Any]) -> None:
content = result.get("content")
if not isinstance(content, Mapping) or content.get("status") != "success":
return
data = content.get("data")
receipt_index = result.get("receipt_index")
if not isinstance(data, Mapping) or not _is_int(receipt_index):
return
tool = result.get("tool")
if tool == "list_api_credentials":
for row in data.get("items", []):
if not isinstance(row, Mapping):
continue
self._append_observation(
{
"kind": "credential",
"credential_id": row.get("credential_id"),
"integration_id": row.get("integration_id"),
"operations": deepcopy(row.get("scope")),
"receipt_index": receipt_index,
}
)
elif tool == "list_retry_budgets":
for row in data.get("items", []):
if not isinstance(row, Mapping):
continue
self._append_observation(
{
"kind": "retry_budget",
"retry_budget_id": row.get("budget_id"),
"integration_id": row.get("integration_id"),
"receipt_index": receipt_index,
}
)
elif tool == "inspect_rate_limit_status":
for row in data.get("buckets", []):
if not isinstance(row, Mapping):
continue
self._append_observation(
{
"kind": "rate_bucket",
"rate_limit_bucket_id": row.get("bucket_id"),
"integration_id": row.get("integration_id"),
"operation": row.get("operation"),
"receipt_index": receipt_index,
}
)
elif tool == "search_recovery_evidence":
for row in data.get("evidence", []):
if not isinstance(row, Mapping):
continue
self._append_observation(
{
"kind": "recovery_profile",
"recovery_profile_id": row.get("recovery_profile_id"),
"failure_signal": row.get("failure_signal"),
"operation_class": row.get("operation_class"),
"receipt_index": receipt_index,
}
)
def _has_credential(self, source: Mapping[str, Any], capability_id: str) -> bool:
return any(
row.get("kind") == "credential"
and row.get("credential_id") == capability_id
and row.get("integration_id") == source.get("integration_id")
and source.get("operation") in row.get("operations", [])
for row in self.capability_observations
)
def _has_retry_budget(self, source: Mapping[str, Any], capability_id: str) -> bool:
return any(
row.get("kind") == "retry_budget"
and row.get("retry_budget_id") == capability_id
and row.get("integration_id") == source.get("integration_id")
for row in self.capability_observations
)
def _has_rate_bucket(self, source: Mapping[str, Any], capability_id: str) -> bool:
return any(
row.get("kind") == "rate_bucket"
and row.get("rate_limit_bucket_id") == capability_id
and row.get("integration_id") == source.get("integration_id")
and row.get("operation") == source.get("operation")
for row in self.capability_observations
)
def _has_recovery_profile(
self, source: Mapping[str, Any], capability_id: str
) -> bool:
failure_signal, operation_class = _source_cell(source)
return any(
row.get("kind") == "recovery_profile"
and row.get("recovery_profile_id") == capability_id
and row.get("failure_signal") == failure_signal
and row.get("operation_class") == operation_class
for row in self.capability_observations
)
def _provenance_error(
self,
arguments: dict[str, Any],
code: str,
message: str,
) -> dict[str, Any]:
cost = self._cost("retry_api_call", arguments)
before = self.business_hash()
self.remaining -= cost
result = self._error("retry_api_call", code, message, cost)
return self._finish("retry_api_call", arguments, result, cost, before)
@classmethod
def _replay_snapshot(cls, snapshot: Mapping[str, Any]) -> "ApiReliabilityWorld":
replay = cls()
receipts = list(snapshot["receipts"])
cursor = 0
while cursor < len(receipts) and receipts[cursor]["task_id"] is None:
receipt = receipts[cursor]
replay.dispatch(receipt["tool"], deepcopy(receipt["arguments"]), receipt["actor"])
cursor += 1
for task_id in snapshot["activated_tasks"]:
replay.activate_task(task_id)
while cursor < len(receipts) and receipts[cursor]["task_id"] == task_id:
receipt = receipts[cursor]
replay.dispatch(
receipt["tool"], deepcopy(receipt["arguments"]), receipt["actor"]
)
cursor += 1
if cursor != len(receipts):
raise ValueError("API Reliability v8 receipt ledger cannot be replayed")
return replay
def _dispatch_business(
self,
tool: str,
arguments: Mapping[str, Any],
actor: str = _adapter.ROLE,
) -> dict[str, Any]:
if (
tool == "retry_api_call"
and isinstance(arguments, Mapping)
and "incident_id" in arguments
and actor == _adapter.ROLE
and self.active_task_id is not None
):
cost = self._cost(tool, arguments)
if self.remaining < cost:
return self._error(
tool, "WORK_QUOTA_EXHAUSTED", "insufficient API-work quota"
)
before = self.business_hash()
self.remaining -= cost
result = self._error(
tool,
"INVALID_ARGUMENTS",
"unsupported argument(s): incident_id",
cost,
)
return self._finish(tool, dict(arguments), result, cost, before)
return super().dispatch(tool, arguments, actor)
def _dispatch_observed(
self,
tool: str,
arguments: Mapping[str, Any],
actor: str = _adapter.ROLE,
) -> dict[str, Any]:
if tool == "retry_api_call" and actor == _adapter.ROLE:
if self.remaining < self._cost(tool, arguments):
return self._dispatch_business(tool, arguments, actor)
if (
isinstance(arguments, dict)
and "incident_id" not in arguments
and _adapter._validate_arguments(tool, arguments) is None
):
source = self.manager.get_entity(
"api_call_attempt", arguments["call_id"], id_field="call_id"
)
if source is not None:
checks = (
(
self._has_credential(source, arguments["credential_id"]),
"UNOBSERVED_CREDENTIAL",
"credential was not returned by a public capability read for this source scope",
),
(
self._has_retry_budget(source, arguments["retry_budget_id"]),
"UNOBSERVED_RETRY_BUDGET",
"retry budget was not returned by a public capability read for this source scope",
),
(
self._has_rate_bucket(
source, arguments["rate_limit_bucket_id"]
),
"UNOBSERVED_RATE_BUCKET",
"rate bucket was not returned by a public capability read for this source scope",
),
(
self._has_recovery_profile(
source, arguments["recovery_profile_id"]
),
"UNOBSERVED_RECOVERY_PROFILE",
"recovery profile was not observed for the exact failure and operation cell",
),
)
for observed, code, message in checks:
if not observed:
return self._provenance_error(dict(arguments), code, message)
result = self._dispatch_business(tool, arguments, actor)
if actor == _adapter.ROLE:
self._record_public_observations(result)
return result
def _scoped_error(
self,
tool: str,
arguments: dict[str, Any],
code: str,
message: str,
) -> dict[str, Any]:
cost = self._cost(tool, arguments)
if self.remaining < cost:
return self._dispatch_observed(tool, arguments, _adapter.ROLE)
before = self.business_hash()
self.remaining -= cost
result = self._error(tool, code, message, cost)
return self._finish(tool, arguments, result, cost, before)
def dispatch(
self,
tool: str,
arguments: Mapping[str, Any],
actor: str = _adapter.ROLE,
) -> dict[str, Any]:
if actor != _adapter.ROLE:
return self._dispatch_observed(tool, arguments, actor)
if tool not in TOOL_BY_NAME:
if tool in _adapter.ALLOWED_TOOLS:
prepared = dict(arguments) if isinstance(arguments, Mapping) else {}
return self._scoped_error(
tool,
prepared,
"TOOL_FORBIDDEN",
"tool is outside the target-scoped API recovery surface",
)
return self._dispatch_observed(tool, arguments, actor)
if not isinstance(arguments, Mapping):
return self._dispatch_observed(tool, arguments, actor)
prepared = dict(arguments)
if tool in {
"list_api_credentials",
"list_retry_budgets",
"search_recovery_evidence",
}:
prepared.setdefault("limit", 1)
try:
jsonschema.validate(prepared, TOOL_BY_NAME[tool]["input_schema"])
except jsonschema.ValidationError:
return self._scoped_error(
tool,
prepared,
"INVALID_ARGUMENTS",
"arguments do not match the target-scoped public schema",
)
if tool in {
"list_api_credentials",
"list_retry_budgets",
"inspect_rate_limit_status",
"search_recovery_evidence",
} and not self._scope_matches_active_target(tool, prepared):
return self._scoped_error(
tool,
prepared,
"TARGET_SCOPE_REQUIRED",
"capability discovery must match one exact target in the active task",
)
return self._dispatch_observed(tool, prepared, actor)
def restore(self, snapshot: dict[str, Any]) -> None:
validate_snapshot(snapshot)
replay = self._replay_snapshot(snapshot)
canonical = replay.snapshot()
if _canonical(canonical) != _canonical(snapshot):
raise ValueError("API Reliability v8 snapshot differs from canonical public replay")
inherited = deepcopy(canonical)
observations = inherited.pop("capability_observations")
inherited["schema"] = _stream.SNAPSHOT_SCHEMA
super().restore(inherited)
self.capability_observations = observations
if _canonical(self.snapshot()) != _canonical(canonical):
raise ValueError("API Reliability v8 snapshot did not round trip exactly")
def grade(self, task_id: str | None = None) -> dict[str, Any]:
diagnostic = super().grade(task_id)
rows = []
for row in diagnostic["targets"]:
item = deepcopy(row)
item["diagnostic_milestone_score"] = item["score"]
complete = all(bool(value) for value in item["milestones"].values())
item["score"] = 25.0 if complete else 0.0
item["complete"] = complete
rows.append(item)
complete_artifacts = sum(int(row["complete"]) for row in rows)
return {
"task_id": diagnostic["task_id"],
"score": 25.0 * complete_artifacts,
"complete_artifacts": complete_artifacts,
"completed_artifacts": complete_artifacts,
"remaining_budget": self.remaining,
"work_units_used": self.initial_budget - self.remaining,
"targets": rows,
}
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