from __future__ import annotations

from typing import Any

from .progress import progress_from_events

PHASE_ORDER = [
    "start",
    "model",
    "agent",
    "hardware",
    "deploy",
    "live_validation",
    "recovery",
    "archive",
    "done",
]

PHASE_LABELS = {
    "start": "Start",
    "model": "Model",
    "agent": "Agent",
    "hardware": "GPU",
    "deploy": "Deploy",
    "live_validation": "Live test",
    "recovery": "Recovery",
    "archive": "Archive",
    "done": "Done",
}

PHASE_STEPS = {
    "start": {"token_context", "bootstrap", "dependencies", "auth", "workspace", "node", "pi_install"},
    "model": {"model_analysis", "model_prescan"},
    "agent": {"pi_config", "pi_run", "traces", "pi_model_resolution", "pi_verification"},
    "hardware": {"hardware_strategy", "create_space_hardware", "create_space"},
    "deploy": {"metadata_sanitize", "requirements_sanitize", "upload_files", "space_logs", "space_runtime", "live_wait"},
    "live_validation": {"endpoint_discovery", "api_validation", "generation_smoke", "inference_gate"},
    "recovery": {
        "failure_detected",
        "failure_diagnosis",
        "pi_diagnosis",
        "repair_decision",
        "wait_for_logs",
        "factory_rebuild",
        "repair",
        "repair_diagnosis",
        "repair_brief",
        "repair_plan",
        "repair_patch",
        "repair_upload",
        "repair_validation",
    },
    "archive": {"report_write", "artifact_manifest", "anonymous_eval", "eval_publish", "eval_archive"},
    "done": {"done", "failure", "technical_blocker", "manual_hardware_required"},
}

STEP_TO_PHASE = {step: phase for phase, steps in PHASE_STEPS.items() for step in steps}

SUCCESS_STATUSES = {"success", "done", "passed", "completed", "full_inference_success"}
PARTIAL_STATUSES = {"full_inference_candidate_health_passed", "health_only", "partial", "partial_validation", "completed_with_warnings"}
FAILED_STATUSES = {"failed", "failure", "error"}
RUNNING_STATUSES = {"started", "running", "waiting", "pending", "scheduled"}
CANCELLED_STATUSES = {"cancelled", "canceled"}
MANUAL_STATUSES = {"manual_hardware_required", "manual_action_required", "generated_needs_manual_hardware", "waiting_manual_hardware"}
BLOCKED_STATUSES = {"technical_blocker", "blocked"}


def _lower(value: Any) -> str:
    return str(value or "").strip().lower()


def _events(bundle: dict[str, Any]) -> list[dict[str, Any]]:
    return [event for event in (bundle.get("events") or []) if isinstance(event, dict)]


def _event_steps(bundle: dict[str, Any]) -> set[str]:
    return {_lower(event.get("step")) for event in _events(bundle) if event.get("step")}


def _events_for_phase(bundle: dict[str, Any], phase: str) -> list[dict[str, Any]]:
    steps = PHASE_STEPS.get(phase, set())
    return [event for event in _events(bundle) if _lower(event.get("step")) in steps]


def _latest_event_for_phase(bundle: dict[str, Any], phase: str) -> dict[str, Any] | None:
    events = _events_for_phase(bundle, phase)
    return events[-1] if events else None


def _latest_events_by_step(bundle: dict[str, Any], phase: str) -> dict[str, dict[str, Any]]:
    latest: dict[str, dict[str, Any]] = {}
    for event in _events_for_phase(bundle, phase):
        step = _lower(event.get("step"))
        if step:
            latest[step] = event
    return latest


def _has_downstream_proof(bundle: dict[str, Any], phase: str) -> bool:
    steps = _event_steps(bundle)
    phase_index = PHASE_ORDER.index(phase)
    return any(steps.intersection(PHASE_STEPS[p]) for p in PHASE_ORDER[phase_index + 1 :])


def _has_successful_phase_event(bundle: dict[str, Any], phase: str) -> bool:
    return any(_lower(e.get("status")) in SUCCESS_STATUSES for e in _events_for_phase(bundle, phase))


def _has_status(bundle: dict[str, Any], statuses: set[str]) -> bool:
    state = bundle.get("state") or {}
    summary = bundle.get("summary") or {}
    gate = bundle.get("inference_gate") or {}
    smoke = bundle.get("generation_smoke") or {}
    values = {
        _lower(state.get("status")),
        _lower(state.get("gate_status")),
        _lower(summary.get("status")),
        _lower(gate.get("status")),
        _lower(smoke.get("status")),
    }
    values.update(_lower(event.get("status")) for event in _events(bundle))
    return bool(values.intersection(statuses))


def _gate(bundle: dict[str, Any]) -> dict[str, Any]:
    return bundle.get("inference_gate") or {}


def _signals(bundle: dict[str, Any]) -> dict[str, Any]:
    gate = _gate(bundle)
    return gate.get("implementation_signals") if isinstance(gate.get("implementation_signals"), dict) else {}


def _smoke(bundle: dict[str, Any]) -> dict[str, Any]:
    smoke = bundle.get("generation_smoke") or {}
    if smoke:
        return smoke
    gate_smoke = (_gate(bundle).get("generation_smoke") or {})
    return gate_smoke if isinstance(gate_smoke, dict) else {}


def _runtime(bundle: dict[str, Any]) -> dict[str, Any]:
    runtime = bundle.get("space_runtime") or {}
    return runtime if isinstance(runtime, dict) else {}


def _live_status(bundle: dict[str, Any]) -> dict[str, Any]:
    live = bundle.get("live_status") or {}
    return live if isinstance(live, dict) else {}


def _latest_event_by_step(bundle: dict[str, Any], step_name: str) -> dict[str, Any]:
    target = _lower(step_name)
    for event in reversed(_events(bundle)):
        if _lower(event.get("step")) == target:
            return event
    return {}


def build_live_validation_model(bundle: dict[str, Any]) -> dict[str, Any]:
    """Compact live validation telemetry for the UI.

    The timeline phase remains the coarse product step. This model gives the
    Live Validation card concrete runtime facts while the Space is building,
    starting, exposing Gradio endpoints, or running generation smoke tests.
    """
    runtime = _runtime(bundle)
    smoke = _smoke(bundle)
    gate = _gate(bundle)
    signals = _signals(bundle)
    api_event = _latest_event_by_step(bundle, "api_validation")
    smoke_event = _latest_event_by_step(bundle, "generation_smoke")
    live_status = _live_status(bundle)
    live_stage = str(live_status.get("stage") or "").strip()
    live_message = str(live_status.get("message") or "").strip()
    runtime_stage = str(runtime.get("stage") or runtime.get("status") or "").strip()
    runtime_error = str(runtime.get("error") or "").strip()
    health_passed = signals.get("health_passed") is True or _lower(api_event.get("status")) in SUCCESS_STATUSES
    health_failed = signals.get("health_passed") is False or _lower(api_event.get("status")) in FAILED_STATUSES
    smoke_status = _lower(smoke.get("status") or smoke_event.get("status"))
    endpoints = gate.get("endpoints") or gate.get("api_endpoints") or gate.get("named_endpoints") or []
    endpoint_count = len(endpoints) if isinstance(endpoints, list) else 0

    severity = "info"
    stage = "waiting_for_space"
    label = "Waiting for Space runtime"
    next_action = "Waiting for the generated Space to build and start."

    upper_stage = runtime_stage.upper()
    if "BUILD_ERROR" in upper_stage:
        severity = "error"
        stage = "space_build_error"
        label = "Space build error"
        next_action = "Open Space logs or let the recovery protocol inspect the build failure."
    elif "RUNTIME_ERROR" in upper_stage:
        severity = "error"
        stage = "space_runtime_error"
        label = "Space runtime error"
        next_action = "Open runtime logs or retry after the recovery protocol finishes."
    elif smoke_status == "success" or signals.get("generation_smoke_passed") is True:
        severity = "success"
        stage = "generation_verified"
        label = "Generation verified"
        next_action = "The generated Space passed the automatic generation smoke test."
    elif smoke and smoke_status in FAILED_STATUSES.union({"timeout", "exception"}):
        severity = "warning"
        stage = "generation_smoke_failed"
        label = "Generation not verified"
        if smoke.get("auto_retry", {}).get("retried"):
            next_action = "The factory retried once with schema-corrected values. Use Prefill Space Test to retry manually if needed."
        elif smoke.get("retryable_with_schema_payload") or smoke.get("auto_retry_supported"):
            next_action = "Use Prefill Space Test after the run finishes to retry with schema-adjusted args."
        else:
            next_action = "Use Prefill Space Test after the run finishes to retry with adjusted args."
    elif live_stage == "generation_smoke_retry":
        severity = "info"
        stage = "generation_smoke_retry"
        label = "Retrying generation smoke"
        next_action = "Retrying once with schema-corrected Gradio choice values."
    elif live_stage == "generation_smoke":
        severity = "info"
        stage = "generation_smoke_running"
        label = "Generation smoke running"
        next_action = "Waiting for the generated endpoint response."
    elif live_stage == "endpoint_discovery":
        severity = "info"
        stage = "endpoint_discovery"
        label = "Discovering Gradio endpoints"
        next_action = "Inspecting the Space API schema before validation."
    elif _latest_event_by_step(bundle, "endpoint_discovery"):
        event = _latest_event_by_step(bundle, "endpoint_discovery")
        severity = "success" if _lower(event.get("status")) in SUCCESS_STATUSES else "info"
        stage = "endpoint_discovery"
        label = "Gradio endpoint discovery"
        next_action = str(event.get("message") or "Endpoint discovery completed.")
    elif health_passed:
        severity = "info"
        stage = "health_passed"
        label = "Health passed; waiting for generation smoke"
        next_action = "Waiting for Gradio endpoints and automatic generation validation."
    elif health_failed:
        severity = "warning"
        stage = "health_not_confirmed"
        label = "Health not confirmed"
        next_action = "Waiting for the Space API to become reachable or fail conclusively."
    elif "BUILD" in upper_stage:
        stage = "space_building"
        label = "Space is building"
    elif "RUNNING" in upper_stage or "START" in upper_stage:
        stage = "space_starting"
        label = "Space runtime is starting"
        next_action = "Waiting for the live API and Gradio schema."
    elif endpoint_count:
        stage = "gradio_schema_detected"
        label = "Gradio endpoints detected"
        next_action = "Waiting for automatic generation smoke validation."

    return {
        "stage": stage,
        "label": label,
        "severity": severity,
        "runtime_stage": runtime_stage,
        "runtime_error": runtime_error,
        "health": "passed" if health_passed else "failed" if health_failed else "pending",
        "gradio_schema": "detected" if endpoint_count else "pending",
        "endpoint_count": endpoint_count,
        "generation_smoke": "passed" if smoke_status == "success" else "failed" if smoke and smoke_status in FAILED_STATUSES.union({"timeout", "exception"}) else "pending",
        "live_status_stage": live_stage,
        "live_status_updated_at": live_status.get("updated_at") or "",
        "message": smoke.get("error") or smoke.get("message") or live_message or api_event.get("message") or runtime_error or "",
        "next_action": next_action,
    }


def _eval_publish(bundle: dict[str, Any]) -> dict[str, Any]:
    status = bundle.get("eval_publish_status") or bundle.get("eval_publish") or {}
    return status if isinstance(status, dict) else {}


def _build_error_observation(bundle: dict[str, Any]) -> dict[str, Any]:
    observation = bundle.get("build_error_observation") or {}
    return observation if isinstance(observation, dict) else {}


def _final_blocker_label(bundle: dict[str, Any]) -> str:
    observation = _build_error_observation(bundle)
    reason = _lower(observation.get("reason"))
    tail = str(observation.get("tail") or observation.get("first_error") or "")
    if reason or "pyenv install 3.1" in tail or "BUILD FAILED" in tail:
        if "pyenv install 3.1" in tail or "python3.1" in tail.replace(" ", ""):
            return "Build failed: invalid Python version requested pyenv install 3.1"
        return "Build failed after repair"
    blockage = bundle.get("blockage") or {}
    if isinstance(blockage, dict):
        status = str(blockage.get("status") or "").replace("_", " ").strip()
        decision = blockage.get("decision") if isinstance(blockage.get("decision"), dict) else {}
        reason_text = str(decision.get("reason") or blockage.get("reason") or "").strip()
        if reason_text:
            return reason_text[:220]
        if status:
            return status.title()
    return ""


def _is_record_not_ready(status: dict[str, Any]) -> bool:
    return _lower(status.get("reason")) == "record_not_ready"


def _has_terminal_event(bundle: dict[str, Any]) -> bool:
    return any(_lower(event.get("step")) in {"done", "failure", "technical_blocker", "manual_hardware_required"} for event in _events(bundle))


def _latest_recovery_event(bundle: dict[str, Any]) -> dict[str, Any] | None:
    events = _events_for_phase(bundle, "recovery")
    return events[-1] if events else None


def _phase_status_from_events(bundle: dict[str, Any], phase: str) -> str:
    latest_by_step = _latest_events_by_step(bundle, phase)
    if not latest_by_step:
        return "pending"
    statuses = {_lower(event.get("status")) for event in latest_by_step.values()}
    if statuses.intersection(FAILED_STATUSES):
        return "failed"
    if statuses.intersection({"warning"}) or statuses.intersection(PARTIAL_STATUSES):
        return "warning"
    if statuses.intersection(RUNNING_STATUSES):
        # While a phase is actively running, the running signal must win over
        # earlier successful setup events in the same phase. Example: pi_config
        # can be success while pi_run is started/running; the Agent phase should
        # remain active and pulsing until a downstream proof or terminal event
        # later marks it complete.
        return "running"
    if statuses.intersection(SUCCESS_STATUSES):
        return "complete"
    return "complete"


def _verdict(bundle: dict[str, Any]) -> str:
    eval_record = bundle.get("eval_record") or {}
    if isinstance(eval_record, dict) and eval_record.get("verdict"):
        return _lower(eval_record.get("verdict"))
    gate = _gate(bundle)
    state = bundle.get("state") or {}
    for value in (gate.get("status"), state.get("gate_status"), state.get("status"), (bundle.get("summary") or {}).get("status")):
        normalized = _lower(value)
        if normalized:
            if normalized in SUCCESS_STATUSES:
                return "full_inference_success" if normalized == "full_inference_success" else "success"
            if normalized in PARTIAL_STATUSES:
                return "partial_validation"
            if normalized in MANUAL_STATUSES:
                return "manual_action_required"
            if normalized in BLOCKED_STATUSES:
                return "technical_blocker"
            if normalized in FAILED_STATUSES:
                return "failed"
            if normalized in CANCELLED_STATUSES:
                return "cancelled"
            return normalized
    return "running" if _events(bundle) else "unknown"


def _final_visual_status(verdict: str) -> str:
    if verdict in {"full_inference_success", "success", "passed"}:
        return "success"
    if verdict in {"partial_validation", "partial", "health_only", "completed_with_warnings"}:
        return "warn"
    if verdict in {"failed", "failure", "technical_blocker"}:
        return "error"
    if verdict in {"manual_action_required", "cancelled"}:
        return "stopped"
    return "running"


def _status_label(verdict: str) -> tuple[str, str]:
    if verdict == "full_inference_success":
        return "Full inference success", "Space boots, generation passed, and latency was measured."
    if verdict == "partial_validation":
        return "Completed with partial validation", "The run finished, but full generation was not verified."
    if verdict == "technical_blocker":
        return "Technical blocker", "The run found a technical blocker."
    if verdict == "manual_action_required":
        return "Manual action required", "The run needs user action before validation can continue."
    if verdict == "failed":
        return "Failed", "The run did not complete successfully."
    if verdict == "cancelled":
        return "Cancelled", "The run was cancelled."
    if verdict in {"running", "pending", "unknown"}:
        return "Running", ""
    return verdict.replace("_", " ").title(), ""


def _hardware_warning(bundle: dict[str, Any]) -> dict[str, Any] | None:
    events = _events_for_phase(bundle, "hardware")
    preferred_failed = any(_lower(e.get("step")) == "create_space_hardware" and _lower(e.get("status")) in FAILED_STATUSES for e in events)
    fallback_ok = any(_lower(e.get("step")) in {"create_space", "create_space_hardware"} and _lower(e.get("status")) in SUCCESS_STATUSES and _lower((e.get("data") or {}).get("hardware")) for e in events)
    if preferred_failed and fallback_ok:
        return {"code": "hardware_fallback_used", "label": "Fallback GPU used", "detail": "Preferred hardware was unavailable; the factory continued on fallback hardware."}
    return None


def _pi_model_warning(bundle: dict[str, Any]) -> dict[str, Any] | None:
    for event in _events(bundle):
        if _lower(event.get("step")) == "pi_model_resolution" and _lower(event.get("status")) == "warning":
            data = event.get("data") or {}
            requested = data.get("requested_model") or data.get("configured_model") or "requested model"
            effective = data.get("effective_model") or "observed model"
            return {"code": "pi_model_changed", "label": "Pi assistant model changed", "detail": f"{requested} → {effective}"}
    return None


def _logs_warning(bundle: dict[str, Any]) -> dict[str, Any] | None:
    logs = bundle.get("space_logs_index") or bundle.get("space_logs") or {}
    if not isinstance(logs, dict):
        return None
    quality = _lower(logs.get("log_quality") or logs.get("quality"))
    if quality and quality not in {"full", "complete"}:
        return {"code": "logs_partial", "label": "Space logs partial", "detail": f"Log quality: {quality}."}
    return None


def _archive_warning(bundle: dict[str, Any], *, terminal: bool) -> dict[str, Any] | None:
    status = _eval_publish(bundle)
    if not status or status.get("published") is True:
        return None
    # record_not_ready is the expected state while a run is still executing.
    # It should not become a global warning until the run has actually ended.
    if not terminal and _is_record_not_ready(status):
        return None
    if status.get("attempted"):
        return {"code": "eval_archive_not_published", "label": "Eval archive not published", "detail": str(status.get("reason") or "Backend archive copy did not complete.")}
    if terminal:
        return {"code": "eval_archive_pending", "label": "Eval archive pending", "detail": "Backend archive copy has not been confirmed yet."}
    return None


def _build_phase_details(bundle: dict[str, Any], phase: str) -> list[dict[str, Any]]:
    details: list[dict[str, Any]] = []
    if phase == "deploy":
        blocker = _final_blocker_label(bundle)
        if blocker and _build_error_observation(bundle):
            details.append({"label": blocker, "status": "failed"})
        else:
            latest = _latest_event_for_phase(bundle, phase)
            if latest:
                details.append({"label": str(latest.get("message") or latest.get("step") or PHASE_LABELS[phase]), "status": _lower(latest.get("status")) or "info"})
    elif phase == "live_validation":
        live = build_live_validation_model(bundle)
        runtime_stage = live.get("runtime_stage") or ""
        if runtime_stage:
            details.append({"label": f"Space runtime: {runtime_stage}", "status": "info"})
        if live.get("health") == "passed":
            details.append({"label": "Health passed", "status": "complete"})
        elif live.get("health") == "failed":
            details.append({"label": "Health not confirmed", "status": "warning"})
        if live.get("gradio_schema") == "detected":
            count = live.get("endpoint_count") or 0
            details.append({"label": f"Gradio endpoints detected: {count}", "status": "info"})
        else:
            details.append({"label": "Waiting for Gradio endpoints", "status": "info"})
        smoke = _smoke(bundle)
        if live.get("generation_smoke") == "passed":
            latency = smoke.get("latency_seconds") or smoke.get("observed_latency_seconds")
            text = f"Generation passed in {latency}s" if latency is not None else "Generation passed"
            details.append({"label": text, "status": "complete"})
        elif live.get("generation_smoke") == "failed":
            reason = smoke.get("failure_type") or smoke.get("error") or live.get("message") or "Generation was not verified"
            details.append({"label": f"Generation not verified: {reason}", "status": "warning"})
            auto_retry = smoke.get("auto_retry") if isinstance(smoke.get("auto_retry"), dict) else {}
            if auto_retry.get("retried"):
                details.append({"label": "Smoke test retried once with schema-corrected choices", "status": "info"})
            elif smoke.get("retryable_with_schema_payload") or smoke.get("auto_retry_supported"):
                details.append({"label": "Schema-adjusted retry available in Space Test", "status": "info"})
        else:
            details.append({"label": "Generation smoke pending", "status": "info"})
        blocker = _final_blocker_label(bundle)
        if blocker:
            details.append({"label": blocker, "status": "failed"})
        recommendation = smoke.get("recommended_zero_gpu_duration_seconds") or (_gate(bundle).get("zero_gpu_duration_recommendation") or {}).get("recommended_zero_gpu_duration_seconds")
        if recommendation:
            details.append({"label": f"ZeroGPU duration recommendation: {recommendation}s", "status": "complete"})
    elif phase == "archive":
        eval_status = _eval_publish(bundle)
        if eval_status:
            if eval_status.get("published") is True:
                details.append({"label": "Eval archive published", "status": "complete"})
                if eval_status.get("archive_relative_path"):
                    details.append({"label": str(eval_status.get("archive_relative_path")), "status": "info"})
            elif eval_status.get("attempted"):
                if _is_record_not_ready(eval_status):
                    details.append({"label": "Eval archive pending until the run completes", "status": "pending"})
                else:
                    details.append({"label": f"Eval archive not published: {eval_status.get('reason') or 'unknown'}", "status": "warning"})
            else:
                details.append({"label": "Eval archive pending", "status": "pending"})
    elif phase == "recovery":
        steps = _event_steps(bundle)
        if not steps.intersection(PHASE_STEPS["recovery"]):
            details.append({"label": "Recovery not needed", "status": "skipped"})
        else:
            failed = any(_lower(e.get("step")) == "repair_validation" and _lower(e.get("status")) in FAILED_STATUSES for e in _events(bundle))
            if failed:
                details.append({"label": "Patch attempted; final blocker remains", "status": "failed"})
                blocker = _final_blocker_label(bundle)
                if blocker:
                    details.append({"label": blocker, "status": "failed"})
            elif any(_lower(e.get("step")) == "repair_validation" and _lower(e.get("status")) in SUCCESS_STATUSES for e in _events(bundle)):
                details.append({"label": "Repair revalidated", "status": "complete"})
            else:
                details.append({"label": "Recovery in progress", "status": "running"})
    else:
        latest = _latest_event_for_phase(bundle, phase)
        if latest:
            details.append({"label": str(latest.get("message") or latest.get("step") or PHASE_LABELS[phase]), "status": _lower(latest.get("status")) or "info"})
    return details


def _phase_summary(bundle: dict[str, Any], phase: str, status: str) -> str:
    if phase == "agent":
        warning = _pi_model_warning(bundle)
        if warning:
            return warning["label"]
    if phase == "hardware":
        warning = _hardware_warning(bundle)
        if warning:
            return warning["label"]
    if phase == "deploy":
        blocker = _final_blocker_label(bundle)
        if blocker and _build_error_observation(bundle):
            return blocker
    if phase == "live_validation":
        blocker = _final_blocker_label(bundle)
        if blocker and _final_visual_status(_verdict(bundle)) == "error":
            return "Live validation incomplete"
        signals = _signals(bundle)
        smoke = _smoke(bundle)
        if signals.get("generation_smoke_passed") is True or _lower(smoke.get("status")) == "success":
            latency = smoke.get("latency_seconds") or smoke.get("observed_latency_seconds")
            return f"Generation passed in {latency}s" if latency is not None else "Generation passed"
        if signals.get("health_passed") is True:
            return "Health passed; generation not verified"
        live = build_live_validation_model(bundle)
        return str(live.get("label") or ("Live validation pending" if status in {"pending", "running"} else "Live validation incomplete"))
    if phase == "recovery":
        steps = _event_steps(bundle)
        if not steps.intersection(PHASE_STEPS["recovery"]):
            return "Not needed"
        if any(_lower(e.get("step")) == "repair_validation" and _lower(e.get("status")) in FAILED_STATUSES for e in _events(bundle)):
            return "Patch attempted; final blocker remains"
        if any(_lower(e.get("step")) == "repair_validation" and _lower(e.get("status")) in SUCCESS_STATUSES for e in _events(bundle)):
            return "Repair revalidated"
        latest = _latest_recovery_event(bundle) or {}
        latest_step = _lower(latest.get("step"))
        if latest_step in {"repair_validation"}:
            return "Revalidating repair"
        if latest_step in {"repair", "repair_plan", "repair_patch", "repair_upload"}:
            return "Repairing"
        return "Diagnosing repair"
    if phase == "archive":
        eval_status = _eval_publish(bundle)
        if eval_status.get("published") is True:
            return "Eval archive published"
        if eval_status.get("attempted") and not _is_record_not_ready(eval_status):
            return "Eval archive attempted"
        return "Archive pending" if status in {"pending", "running"} else "Final artifacts written"
    if phase == "done":
        label, _ = _status_label(_verdict(bundle))
        return label
    latest = _latest_event_for_phase(bundle, phase)
    if latest:
        return str(latest.get("message") or PHASE_LABELS[phase])
    if status == "skipped":
        return "Not needed"
    return "Pending" if status == "pending" else PHASE_LABELS[phase]


def _phase_status(bundle: dict[str, Any], phase: str, verdict: str) -> str:
    steps = _event_steps(bundle)
    terminal = _final_visual_status(verdict) in {"success", "warn", "error", "stopped"}

    if phase == "done":
        if verdict in {"full_inference_success", "success", "passed"}:
            return "complete"
        if verdict in {"partial_validation", "partial", "completed_with_warnings", "health_only"}:
            return "warning"
        if verdict in {"failed", "technical_blocker"}:
            return "failed"
        if verdict in {"manual_action_required", "cancelled"}:
            return "stopped"
        return "pending"

    if phase == "recovery":
        if not steps.intersection(PHASE_STEPS["recovery"]):
            return "skipped" if terminal else "pending"
        if any(_lower(e.get("step")) == "repair_validation" and _lower(e.get("status")) in FAILED_STATUSES for e in _events(bundle)):
            return "failed"
        if any(_lower(e.get("step")) == "repair_validation" and _lower(e.get("status")) in SUCCESS_STATUSES for e in _events(bundle)):
            return "complete"
        latest_recovery = _latest_recovery_event(bundle) or {}
        latest_status = _lower(latest_recovery.get("status"))
        if latest_status in FAILED_STATUSES:
            return "failed"
        return "warning" if terminal else "running"

    if phase == "agent":
        latest_by_step = _latest_events_by_step(bundle, phase)
        pi_run = latest_by_step.get("pi_run") or {}
        if _lower(pi_run.get("status")) in RUNNING_STATUSES and not terminal:
            return "running"

    if phase == "deploy":
        blocker = _final_blocker_label(bundle)
        if blocker and _build_error_observation(bundle):
            return "failed"
    if phase == "live_validation":
        blocker = _final_blocker_label(bundle)
        if blocker and _final_visual_status(_verdict(bundle)) == "error":
            return "failed"
        signals = _signals(bundle)
        smoke = _smoke(bundle)
        if signals.get("generation_smoke_passed") is True or _lower(smoke.get("status")) == "success":
            return "complete"
        if signals.get("health_passed") is True or smoke:
            return "warning"
        return _phase_status_from_events(bundle, phase)

    if phase == "archive":
        eval_status = _eval_publish(bundle)
        if eval_status.get("published") is True:
            return "complete"
        if eval_status.get("attempted"):
            if not terminal and _is_record_not_ready(eval_status):
                return "pending"
            return "warning"
        if terminal:
            return "warning" if bundle.get("eval_record") else "pending"
        return "pending"

    if phase == "deploy" and _build_error_observation(bundle):
        return "failed"

    if phase == "agent" and _pi_model_warning(bundle):
        return "warning"
    if phase == "hardware" and _hardware_warning(bundle):
        return "warning"

    event_status = _phase_status_from_events(bundle, phase)
    if event_status != "pending":
        if event_status == "running" and terminal and (_has_downstream_proof(bundle, phase) or _has_successful_phase_event(bundle, phase)):
            return "complete"
        return event_status

    # On terminal runs, phases before the first missing/optional later phase can
    # be considered complete when downstream proofs exist.
    if terminal and _has_downstream_proof(bundle, phase):
        return "complete"
    return "pending"


def build_run_timeline_model(bundle: dict[str, Any]) -> dict[str, Any]:
    """Return the canonical product progress/timeline projection for a run.

    This model is deliberately derived from persisted run artifacts and events,
    not from transient DOM state. It separates process completion from the final
    result verdict so a completed run can be success, partial, failed, blocked,
    or manual-action-required without the progress bar lying.
    """
    bundle = bundle or {}
    state = bundle.get("state") or {}
    progress = progress_from_events(_events(bundle), state=state)
    verdict = _verdict(bundle)
    visual_status = _final_visual_status(verdict)
    label, subtitle = _status_label(verdict)
    terminal = visual_status in {"success", "warn", "error", "stopped"}
    percent = 100 if terminal else int(progress.get("progress") or 0)

    warnings = [w for w in (_pi_model_warning(bundle), _hardware_warning(bundle), _logs_warning(bundle), _archive_warning(bundle, terminal=terminal)) if w]
    phases: list[dict[str, Any]] = []
    for phase in PHASE_ORDER:
        status = _phase_status(bundle, phase, verdict)
        phases.append(
            {
                "id": phase,
                "label": PHASE_LABELS[phase],
                "status": status,
                "summary": _phase_summary(bundle, phase, status),
                "details": _build_phase_details(bundle, phase),
            }
        )

    return {
        "schema_version": "run_timeline_model.v1",
        "progress": {
            "percent": max(0, min(100, percent)),
            "visual_status": visual_status,
            "label": label,
            "subtitle": subtitle,
            "process_status": progress.get("status") or "unknown",
            "verdict": verdict,
            "terminal": terminal,
        },
        "phases": phases,
        "warnings": warnings,
        "live_validation": build_live_validation_model(bundle),
    }