src/agents/gate.py

"""Deterministic routing gate — policy check over the router's intent.

After the LLM router picks an intent, the gate checks it against the per-analysis
Analysis State and returns the **effective** intent: allow as-is, or redirect. No
LLM, no I/O in `gate()` itself.

Only one rule has teeth in v1: an analytical request (`structured_flow`) requires a
validated problem statement (`problem_validated is True`); otherwise it is
redirected to `problem_statement` so the user defines the goal first. Everything
else passes through. `generate_report` is not a router intent (button / report
API), so it is not gated here.

`AnalysisState` is the locked 8-field contract (mirrors the `analysis_states` DB
table). `get_analysis_state` reads the real per-analysis row via `AnalysisStateStore`
(#9, landed); it fails closed to a not-validated stub on a missing row or read error.
See `ORCHESTRATOR_REWORK_PLAN.md` §4.
"""

from __future__ import annotations

from datetime import UTC, datetime

from pydantic import BaseModel

from src.agents.orchestration import Intent
from src.middlewares.logging import get_logger

logger = get_logger("gate")


class AnalysisState(BaseModel):
    """Per-analysis state the gate + Help skill read every turn (locked contract).

    `problem_validated` is the gate driver; `report_id` is null until a report
    exists. Field names mirror the `analysis_states` table so the DB read swaps in
    without touching readers.
    """

    id: str
    analysis_title: str
    problem_statement: str
    problem_validated: bool = False
    user_id: str
    report_id: str | None = None
    created_at: datetime
    updated_at: datetime


def gate(intent: Intent, state: AnalysisState) -> Intent:
    """Return the effective intent (NEUTERED 2026-06-24 — passes everything through).

    The `problem_validated` gate was removed: analysis is no longer gated on a validated
    problem statement (the goal is now two user-entered fields, `objective` +
    `business_questions`, captured at onboarding with no agent validation). Kept as a
    no-op seam so gating can be restored without re-threading call sites.
    """
    # Pre-2026-06-24 policy: redirect analytical requests until the goal was validated.
    # if intent == "structured_flow" and not state.problem_validated:
    #     logger.info(
    #         "gate redirect",
    #         requested=intent,
    #         effective="problem_statement",
    #         reason="problem_not_validated",
    #     )
    #     return "problem_statement"
    return intent


def stub_analysis_state(*, problem_validated: bool = False) -> AnalysisState:
    """Hardcoded Analysis State for building/testing before the DB lands (#9).

    Shared fixture so the gate, the Help skill, and tests all exercise the same
    shape. `problem_validated=True` simulates a passed interview.
    """
    now = datetime.now(UTC)
    return AnalysisState(
        id="stub-analysis",
        analysis_title="Stub analysis",
        problem_statement="Stub problem statement" if problem_validated else "",
        problem_validated=problem_validated,
        user_id="stub-user",
        report_id=None,
        created_at=now,
        updated_at=now,
    )


async def get_analysis_state(analysis_id: str) -> AnalysisState:
    """Load the Analysis State for an analysis (shared id with the chat room).

    Reads the `analysis_states` row via `AnalysisStateStore`. Never-throw seam: a
    missing row (e.g. a legacy room created before this table) or a read failure
    degrades to a **not-validated** stub, so the gate fails closed (→ steer to
    `problem_statement`) rather than running ungated analysis. The store import is
    lazy so this module stays import-safe without a DB.
    """
    try:
        from src.agents.state_store import AnalysisStateStore

        state = await AnalysisStateStore().get(analysis_id)
    except Exception as exc:  # noqa: BLE001 — never-throw; fail closed to not-validated
        logger.warning(
            "get_analysis_state read failed — default not-validated",
            analysis_id=analysis_id,
            error=str(exc),
        )
        return stub_analysis_state(problem_validated=False)
    if state is None:
        logger.debug("analysis_state missing — default not-validated", analysis_id=analysis_id)
        return stub_analysis_state(problem_validated=False)
    return state