fix(agents): fallback learning loop from consumer receipts
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@@ -394,6 +394,12 @@ def _build_consumer_readback(
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) -> dict[str, Any]:
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consumer_receipts = _consumer_receipts_by_dispatch_id(consumer_rows)
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bindings = [_consumer_binding(row, consumer_receipts) for row in rows]
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telegram_alert_learning_context = (
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_telegram_alert_learning_context_with_consumer_fallback(
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telegram_alert_learning_context=telegram_alert_learning_context,
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bindings=bindings,
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)
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)
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active_blockers = _active_blockers(bindings)
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target_rollups = _target_rollups(bindings)
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runtime_target_write_performed = (
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@@ -1038,6 +1044,146 @@ def _telegram_alert_learning_context_unavailable(
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}
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def _telegram_alert_learning_context_with_consumer_fallback(
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*,
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telegram_alert_learning_context: dict[str, Any],
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bindings: list[dict[str, Any]],
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) -> dict[str, Any]:
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if (
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telegram_alert_learning_context.get("status")
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== "ai_loop_agent_context_receipt_ready"
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):
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return telegram_alert_learning_context
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ready_bindings = [
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binding
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for binding in bindings
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if binding.get("status") == "ready_for_consumer_context"
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and binding.get("target_write_performed") is True
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and binding.get("raw_payload_included") is False
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and binding.get("target") in _TARGETS
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]
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ready_targets = {str(binding.get("target") or "") for binding in ready_bindings}
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if set(_TARGETS) - ready_targets:
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return telegram_alert_learning_context
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project_id = str(
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telegram_alert_learning_context.get("project_id") or DEFAULT_PROJECT_ID
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)
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context_receipts = [
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_telegram_alert_context_receipt_from_consumer_binding(
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binding=binding,
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project_id=project_id,
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)
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for binding in ready_bindings
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]
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ai_agent_context_receipt_count = sum(
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1 for receipt in context_receipts if receipt["target"] == "ai_agent"
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)
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return {
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**telegram_alert_learning_context,
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"status": "ai_loop_agent_context_receipt_ready",
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"source_registry_status": (
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"fallback_log_controlled_writeback_consumer_context"
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),
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"fallback_source_endpoint": (
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"/api/v1/agents/agent-log-controlled-writeback-consumer-readback"
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),
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"ready_target_count": len(ready_targets),
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"target_count": len(_TARGETS),
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"context_receipt_count": len(context_receipts),
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"ai_agent_context_receipt_count": ai_agent_context_receipt_count,
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"next_action": (
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"verify_log_controlled_writeback_context_receipts_with_ai_loop_post_apply_verifier"
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),
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"context_receipts": context_receipts,
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"active_blockers": [],
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"operation_boundaries": {
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**_dict(telegram_alert_learning_context.get("operation_boundaries")),
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"metadata_read_performed": True,
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"db_or_log_receipt_read_performed": True,
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"runtime_target_write_performed": True,
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"telegram_send_performed": False,
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"raw_payload_included": False,
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"secret_value_collection_allowed": False,
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"github_api_used": False,
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},
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}
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def _telegram_alert_context_receipt_from_consumer_binding(
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*,
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binding: Mapping[str, Any],
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project_id: str,
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) -> dict[str, Any]:
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target = str(binding.get("target") or "")
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dispatch_receipt_id = str(binding.get("dispatch_receipt_id") or "")
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consumer_receipt = _dict(binding.get("target_write_receipt"))
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source_receipt_id = str(
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consumer_receipt.get("consumer_receipt_id") or dispatch_receipt_id
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)
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verifier_refs = _strings(binding.get("post_apply_verifier_refs"))
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return {
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"receipt_id": (
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"telegram_alert_learning_context_fallback::"
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f"{source_receipt_id or target}"
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),
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"source_receipt_id": source_receipt_id,
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"source_run_id": "",
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"source_message_id": "",
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"work_item_id": "CIR-P0-TG-001",
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"target": target,
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"consumer_surface": str(binding.get("consumer_surface") or ""),
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"source_ref": dispatch_receipt_id,
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"ai_agent_context_ref": (
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f"ai-agent://{project_id}/log-controlled-writeback/"
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f"{source_receipt_id or target}"
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),
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"event_type": "log_controlled_writeback_consumed",
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"lane": "metadata_feedback_controlled_writeback",
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"status": "ready_for_ai_loop_context",
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"metadata_only": True,
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"target_write_performed": True,
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"raw_payload_included": False,
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"target_selector": {
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"project_id": project_id,
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"dispatch_receipt_id": dispatch_receipt_id,
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"consumer_receipt_id": source_receipt_id,
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"target": target,
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"source_ref": dispatch_receipt_id,
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},
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"source_of_truth_diff": {
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"current_state": "telegram_alert_registry_unavailable_or_not_ready",
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"desired_state": "ai_loop_agent_context_receipt_available",
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"delta_kind": f"log_controlled_writeback_{target}_context_fallback",
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"raw_payload_included": False,
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},
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"check_mode": {
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"enabled": True,
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"checks": [
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"consumer_binding_ready",
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"consumer_apply_receipt_present",
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"metadata_only_raw_payload_absent",
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"post_apply_verifier_refs_present",
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],
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},
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"rollback": {
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"required": True,
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"rollback_ref": (
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"rollback://telegram-alert-learning-context-fallback/"
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f"{source_receipt_id or target}"
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),
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"strategy": (
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"ignore_fallback_context_receipt_and_wait_for_next_alert_card_readback"
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),
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},
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"post_apply_verifier": {
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"required": True,
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"verifier_refs": verifier_refs,
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},
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}
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def _result_rows(result: Any) -> list[dict[str, Any]]:
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mappings = getattr(result, "mappings", None)
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if callable(mappings):
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@@ -1074,7 +1220,7 @@ def _dict(value: Any) -> dict[str, Any]:
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def _json_dict(value: Any) -> dict[str, Any]:
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if isinstance(value, Mapping):
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return dict(value)
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if isinstance(value, (bytes, bytearray)):
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if isinstance(value, bytes | bytearray):
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value = value.decode("utf-8", errors="replace")
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if isinstance(value, str) and value:
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try:
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