"""S5.1 — HITL pending registry + dimension→expert routing (roadmap E, målbilde §3).

An operator inspection tool (mirrors ``preflight.py`` / ``costsim.py``) that makes the async
verdict queue visible. After every run the OUTBOX accumulates ``{run_id}-proposal.json`` /
``{run_id}-outcome.json`` (``outbox.write_outbox``); each outcome carries a ``verdict_id`` (the
``_mint_id`` content-hash). A matching expert verdict lands in the INBOX as ``{id}.json``
(``verdicts.write_verdict``). This module derives, from those two folders:

- a file-derived **pending registry** — outbox ``verdict_id`` MINUS inbox ``id`` (an id-join), i.e.
  the proposals still awaiting an expert dom; and
- a declarative **``dimension → expert`` routing** — which expert should supply each pending dom,
  classified by **cost-code prefix** (see routing notes in Step 3 + the plan's Risk #1).

Exposed via ``python -m portfolio_optimiser.hitl pending|route``. It is an inspection tool, NOT wired
into ``run_project`` — the system READS these folders, the expert/persona WRITES them (målbilde §3
role split).

**MAF-free source** (D7-portable): pure stdlib + pydantic. The inbox id-set predicate mirrors
``verdicts.load_verdicts_from_dir`` INLINE rather than importing it — ``verdicts.py`` imports
``agent_framework`` at module top, so importing its reader would pull MAF into this D7-portable
logic. Registered in ``tests/test_okf.py``'s ``_MAF_FREE_MODULES`` (direct AST guard) and pinned by a
transitive import-graph probe (``test_hitl_loadbearing.py``).

**Honesty limitation (CLI needs MAF at runtime):** this module's SOURCE is MAF-clean, but invoking
it via the package (``python -m portfolio_optimiser.hitl``) first runs ``__init__.py`` → ``run`` →
``agent_framework`` before hitl's body. The "no agent runtime" framing is therefore source-level
(the logic stays portable); a lazy ``__init__`` that would make the CLI itself MAF-free is out of
S5.1 scope. The static import-graph probe guards hitl's OWN logic against a MAF-bearing edge.
"""

from __future__ import annotations

import json
import sys
from dataclasses import dataclass
from pathlib import Path
from typing import Any

from pydantic import BaseModel, Field, ValidationError, model_validator

# Mirrored INLINE from verdicts.py (NOT imported — verdicts.py:29 pulls agent_framework). The inbox
# predicate must match load_verdicts_from_dir EXACTLY, else pending would count as judged a file the
# real loader drops. Kept in lockstep with verdicts._REQUIRED_VERDICT_KEYS / _INBOX_DECISION_VOCABULARY
# / the inner keys verdict_from_dict reads; pinned by the parity tests in test_hitl_loadbearing.py.
_REQUIRED_VERDICT_KEYS = {"id", "decision", "rationale", "proposal_features"}
_INBOX_DECISION_VOCABULARY = frozenset({"approved", "rejected"})
_REQUIRED_FEATURE_KEYS = {"affected_codes", "measure_type", "claimed_saving_nok"}


@dataclass(frozen=True)
class PendingProposal:
    """One outbox proposal still awaiting an expert verdict. ``codes``/``measure`` carry the routing
    keys (Step 3); ``verdict_id`` is the id-join key against the inbox."""

    run_id: str
    verdict_id: str
    outcome_type: str
    measure: str
    codes: frozenset[str]


def _read_outbox_proposals(outbox_dir: str) -> list[PendingProposal]:
    """Read the outbox, joining ``{run_id}-proposal.json`` and ``{run_id}-outcome.json`` on the
    ``run_id`` FIELD read from file content (never the filename). TOLERANT (RAW layer, contrast
    ``okf.load_ir_projection``'s fail-fast): a missing dir yields ``[]``; unparseable files, and
    orphans (a proposal without its outcome or vice-versa), are SKIPPED, never raised — a live run
    writes the pair non-atomically, so half-written state is realistic."""
    directory = Path(outbox_dir)
    if not directory.is_dir():
        return []

    proposals: dict[str, dict[str, Any]] = {}
    for file in sorted(directory.glob("*-proposal.json")):
        data = _load_json_dict(file)
        if data is None or "run_id" not in data or not isinstance(data.get("proposal"), dict):
            continue
        proposals[str(data["run_id"])] = data

    outcomes: dict[str, dict[str, Any]] = {}
    for file in sorted(directory.glob("*-outcome.json")):
        data = _load_json_dict(file)
        if data is None or "run_id" not in data:
            continue
        outcomes[str(data["run_id"])] = data

    result: list[PendingProposal] = []
    for run_id in proposals.keys() & outcomes.keys():  # inner join — orphans on either side dropped
        proposal = proposals[run_id]["proposal"]
        outcome = outcomes[run_id]
        verdict_id = outcome.get("verdict_id")
        outcome_type = outcome.get("outcome_type")
        if not isinstance(verdict_id, str) or not isinstance(outcome_type, str):
            continue
        try:
            codes = frozenset(item["code"] for item in proposal.get("affected_items", []))
        except (KeyError, TypeError):
            continue
        result.append(
            PendingProposal(
                run_id=run_id,
                verdict_id=verdict_id,
                outcome_type=outcome_type,
                measure=str(proposal.get("measure", "")),
                codes=codes,
            )
        )
    return result


def _inbox_verdict_ids(verdict_dir: str) -> set[str]:
    """Collect the ``id`` of every inbox verdict file that ``load_verdicts_from_dir`` WOULD accept —
    the same tolerant predicate mirrored inline: a dict carrying all ``_REQUIRED_VERDICT_KEYS``, a
    ``decision`` in the binary vocabulary ``{approved, rejected}``, and a ``proposal_features`` dict
    carrying the inner keys ``verdict_from_dict`` reads AND an ``affected_codes`` that
    ``frozenset(...)`` accepts (a non-iterable — ``null``/int/float/bool — makes the real loader's
    ``frozenset(pf['affected_codes'])`` raise ``TypeError``, so it is skipped here too). A file that
    would be skipped or raise in the real loader is skipped here too, so ``pending`` never treats it as
    a delivered dom."""
    directory = Path(verdict_dir)
    if not directory.is_dir():
        return set()
    ids: set[str] = set()
    for file in sorted(directory.glob("*.json")):
        data = _load_json_dict(file)
        if data is None or not _REQUIRED_VERDICT_KEYS <= data.keys():
            continue
        if data.get("decision") not in _INBOX_DECISION_VOCABULARY:
            continue
        features = data.get("proposal_features")
        if not isinstance(features, dict) or not _REQUIRED_FEATURE_KEYS <= features.keys():
            continue
        # Mirror verdict_from_dict EXACTLY: frozenset(affected_codes) raises TypeError on a
        # non-iterable (null/int/float/bool), which the real loader skips — so skip it here too.
        try:
            frozenset(features["affected_codes"])
        except TypeError:
            continue
        ids.add(data["id"])
    return ids


def pending(outbox_dir: str, verdict_dir: str) -> list[PendingProposal]:
    """The pending registry: outbox proposals whose ``verdict_id`` is NOT yet in the inbox id-set,
    sorted deterministically by ``(run_id, verdict_id)``."""
    judged = _inbox_verdict_ids(verdict_dir)
    unjudged = [p for p in _read_outbox_proposals(outbox_dir) if p.verdict_id not in judged]
    return sorted(unjudged, key=lambda p: (p.run_id, p.verdict_id))


# --- Routing config: self-contained dimension→expert table (fail-fast) ----------------------------
# A minimal MVP stand-in for the S3.5 dimension catalog (kept DISTINCT — see the plan's Non-Goals).
# Field names mirror ``dimension.Dimension`` so the two reconcile cleanly when S3.5 lands. No ``label``
# field: ``_matches`` never builds a ``Dimension``, so a label would be dead single-use surface.


class RoutingEntry(BaseModel):
    """One ``dimension → expert`` routing rule. ``allowed_measure_types`` EMPTY means "any measure"
    (route by code prefix alone — see ``_matches`` + the plan's Risk #1); a non-empty set restores a
    measure gate for deployments that want one."""

    id: str = Field(min_length=1)
    allowed_measure_types: frozenset[str] = frozenset()
    allowed_code_prefixes: frozenset[str] = frozenset()
    expert: str = Field(min_length=1)


class RoutingConfig(BaseModel):
    """The routing table. Entry ``id``s must be unique — a duplicate would make the sorted-first
    tie-break ambiguous."""

    entries: list[RoutingEntry]

    @model_validator(mode="after")
    def _unique_entry_ids(self) -> RoutingConfig:
        ids = [e.id for e in self.entries]
        if len(ids) != len(set(ids)):
            raise ValueError("routing config has duplicate entry ids")
        return self


def load_routing_config(path: str | Path) -> RoutingConfig:
    """Load + validate the routing config, fail-fast (mirrors ``costsim.load_pricing``): a missing
    file raises ``FileNotFoundError``; malformed data raises ``pydantic.ValidationError``; a duplicate
    entry id raises ``ValueError`` (via the after-validator). Top-level ``_``-prefixed keys are
    ignored (doc/comment convention)."""
    p = Path(path)
    if not p.is_file():
        raise FileNotFoundError(f"routing config not found: {str(p)!r}")
    raw = json.loads(p.read_text(encoding="utf-8"))
    data = {k: v for k, v in raw.items() if not k.startswith("_")}
    return RoutingConfig(**data)


# --- Routing: classify each pending proposal to an expert (Step 3) --------------------------------


def _matches(entry: RoutingEntry, *, measure: str, codes: frozenset[str]) -> bool:
    """Mirror ``dimension.admits`` BUT with an OPTIONAL measure gate: an empty
    ``allowed_measure_types`` means "any measure" (route by code prefix alone). ``measure`` is
    open-vocabulary prose (verified non-discriminating — plan Risk #1), so code prefixes are the
    reliable domain key; the measure gate is a strict opt-in filter for deployments that set one."""
    if entry.allowed_measure_types and measure not in entry.allowed_measure_types:
        return False
    if not entry.allowed_code_prefixes:
        return True
    return any(code.startswith(prefix) for code in codes for prefix in entry.allowed_code_prefixes)


@dataclass(frozen=True)
class RoutedProposal:
    """A pending proposal classified to an expert. ``expert``/``dimension_id`` are ``None`` when no
    entry admits it (unroutable, still emitted); ``ambiguous`` flags a >1-entry match resolved by the
    sorted-first ``entry.id`` tie-break."""

    pending: PendingProposal
    expert: str | None
    dimension_id: str | None
    ambiguous: bool


def route(outbox_dir: str, verdict_dir: str, config: RoutingConfig) -> list[RoutedProposal]:
    """Classify each pending proposal to the expert who owns its dimension. 0 matching entries →
    unroutable (emitted with ``expert=None``); 1 → that entry; >1 → the sorted-first ``entry.id``
    (deterministic) flagged ``ambiguous``. Order follows ``pending`` (sorted, deterministic)."""
    routed: list[RoutedProposal] = []
    for proposal in pending(outbox_dir, verdict_dir):
        matches = [
            entry
            for entry in config.entries
            if _matches(entry, measure=proposal.measure, codes=proposal.codes)
        ]
        if not matches:
            routed.append(RoutedProposal(proposal, expert=None, dimension_id=None, ambiguous=False))
            continue
        winner = min(matches, key=lambda entry: entry.id)
        routed.append(
            RoutedProposal(
                proposal, expert=winner.expert, dimension_id=winner.id, ambiguous=len(matches) > 1
            )
        )
    return routed


def _load_json_dict(file: Path) -> dict[str, Any] | None:
    """Tolerant read: parse ``file`` as JSON and return it only if it is a dict, else ``None`` (an
    unreadable / non-JSON / non-object file is skipped by every reader here)."""
    try:
        data = json.loads(file.read_text(encoding="utf-8"))
    except (OSError, UnicodeDecodeError, json.JSONDecodeError):
        # UnicodeDecodeError: a *.json file hand-saved in Latin-1 (Norwegian æ/ø/å) is invalid UTF-8 —
        # skip it, not raise (a ValueError subclass, so neither OSError nor JSONDecodeError catches it).
        return None
    return data if isinstance(data, dict) else None


# --- CLI: python -m portfolio_optimiser.hitl pending|route (Step 4) --------------------------------


def main(argv: list[str] | None = None) -> int:
    """CLI entry: ``python -m portfolio_optimiser.hitl pending|route`` — the operator inspection tool.
    ``pending`` prints one ``run_id verdict_id outcome_type`` line per un-judged proposal; ``route``
    prints ``run_id verdict_id → <expert|UNROUTABLE> [dim:<id>][ AMBIGUOUS]``. Output is sorted /
    deterministic. A config-load error → structured ``hitl: <reason>`` on stderr + rc 1 (never a
    traceback). rc 0 on success."""
    import argparse

    parser = argparse.ArgumentParser(
        prog="portfolio_optimiser.hitl",
        description="HITL-inspeksjon (S5.1): vis ventende forslag (outbox uten inbox-dom) og rut dem "
        "til fagekspert etter kostnadskode-prefiks. Leser mapper; ingen modellkall, ingen skriving.",
    )
    sub = parser.add_subparsers(dest="command", required=True)

    p_pending = sub.add_parser("pending", help="list proposals still awaiting an expert verdict")
    p_pending.add_argument(
        "--outbox-dir", required=True, help="run outbox (proposal/outcome files)"
    )
    p_pending.add_argument("--verdict-dir", required=True, help="expert verdict inbox")

    p_route = sub.add_parser("route", help="route pending proposals to experts by cost-code prefix")
    p_route.add_argument("--outbox-dir", required=True, help="run outbox (proposal/outcome files)")
    p_route.add_argument("--verdict-dir", required=True, help="expert verdict inbox")
    p_route.add_argument("--routing-config", required=True, help="dimension→expert routing config")

    args = parser.parse_args(argv)

    if args.command == "pending":
        for proposal in pending(args.outbox_dir, args.verdict_dir):
            print(f"{proposal.run_id} {proposal.verdict_id} {proposal.outcome_type}")
        return 0

    try:
        config = load_routing_config(args.routing_config)
    except (FileNotFoundError, ValidationError, ValueError) as exc:
        print(f"hitl: {exc}", file=sys.stderr)
        return 1
    for routed in route(args.outbox_dir, args.verdict_dir, config):
        p = routed.pending
        if routed.expert is None:
            print(f"{p.run_id} {p.verdict_id} → UNROUTABLE")
        else:
            suffix = " AMBIGUOUS" if routed.ambiguous else ""
            print(
                f"{p.run_id} {p.verdict_id} → {routed.expert} [dim:{routed.dimension_id}]{suffix}"
            )
    return 0


if __name__ == "__main__":  # pragma: no cover - console entry
    raise SystemExit(main())