Add readiness verdict engine (kills the false green)

Grade one coverage line's five documentation items on two separated axes the
old code conflated: required_state (from plan_type + payer_rules.json) and
input_state (SUPPLIED | ABSENT). A line is "Clear to Ship" only when EVERY
required item is satisfied by positive evidence — a required item with no data
is NOT_EVALUATED and blocks green, never granted by absence of contradiction.

- plan_type never guessed: None / unmapped / casing-variant -> "Plan Type Needed",
  structurally cannot be green; PECOS/PA sit NOT_EVALUATED while universal items
  (SWO/visit/diagnosis per LCD L33822) still grade.
- Required-ness reads from payer_rules.json (single source of truth), removing
  the latent Python-set-vs-JSON divergence.
- Config-surface fail-safe: a known plan missing/partial in config cannot grade
  green (NOT_EVALUATED), and the green gate checks every item.
- Diagnosis accepts a real ICD-10 code as on-file; only explicit negatives gap.

Additive only: not wired into the live pipeline. 27 tests green (full suite 73),
code-auditor reviewed (H1/H2/M1/M2/M3/M4/L1 fixed).

PROVISIONAL, flagged for Pi/Kisa: gap->label mapping (At Risk/Action Needed/
On Track) and the visit-recency scope boundary (timing layer, not readiness).

Spec: docs/readiness-model-brief-2026-06-23.md section 4

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
This commit is contained in:
Kisa 2026-06-27 00:33:42 -04:00
parent c07d054ca5
commit 206bf718bd
3 changed files with 544 additions and 1 deletions

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@ -18,7 +18,7 @@ Canonical, git-tracked record of **what shipped, what didn't, and the reason or
| 6 | Convex-Signal spike **design** | Pi | **SHIPPED** | docs/convex-signal-spike-design-2026-06-24.md. 40h/3-phase plan; Module map + Repository interface + Convex schema + Auth seam (Convex default, Clerk swappable) + Phase 1 (core readiness loop) = what Claude builds first. | Claude builds Phase 1 from it |
| 7 | `signal-convex` repo creation | Claude (GitHub) + Kisa/token (Forgejo) | **PENDING** | Dependency: Pi design + Kisa approval (create once, correctly). Claude can do GitHub via `gh`; Forgejo has no API token here. | after design approved |
| 8 | Convex BAA email (plan/cost/signing) | Kisa | **IN PROGRESS** | Kisa handling | Kisa sends |
| 9 | Readiness-model build (rename coverage→readiness, rules-to-config, grouping+verdict, device override, require-plan-type, frontend nesting) | Claude | **IN PROGRESS** | Step 3 grouping half SHIPPED 2026-06-26: `core/dedup.py` (CSVRow→MergedShipment→CoverageLine) + 30 tests green, code-auditor reviewed (no High; M1/M2/L1/L2/L3 fixed). Added additive `plan_type` field to ShipmentRecord (default None; live grading untouched). NOT yet wired into the live pipeline. Remaining: required-vs-input verdict engine, rules-to-addressable-config (IDs), device-keyed override+recompute+rollup, require-plan-type enforcement + remove name-guesser/default, frontend nesting + "plan type needed" state. | Next: build the verdict engine + rules-to-config; WIRE orchestration in `api/main.py` or a new pipeline module, NOT inside `coverage_calculator` (dedup imports from it → circular import). Each step code-auditor-reviewed before ship. |
| 9 | Readiness-model build (rename coverage→readiness, rules-to-config, grouping+verdict, device override, require-plan-type, frontend nesting) | Claude | **IN PROGRESS** | Step 3 SHIPPED 2026-06-26/27 (additive, not yet wired): (a) `core/dedup.py` grouping (CSVRow→MergedShipment→CoverageLine), 30 tests, auditor-reviewed; (b) `core/readiness.py` verdict engine — required-vs-input two-axis grading that KILLS the false green (required+absent never satisfied; clear-to-ship only on positive evidence; plan unknown→"Plan Type Needed"; required-ness read from payer_rules.json not Python sets), 27 tests, auditor-reviewed (H1/H2 config-surface false greens + M2/M3/M4 fixed). Added additive `plan_type` to ShipmentRecord. **OPEN for Kisa/Pi:** provisional gap→label mapping (At Risk/Action Needed/On Track) + H3 scope boundary (visit recency = timing layer, not readiness verdict — confirm). Remaining: rules-to-addressable-config (citation IDs), patient rollup, device-keyed override+recompute+rollup, require-plan-type enforcement + remove name-guesser/default in the LIVE path, frontend nesting + "plan type needed" UX (→ Pi). | Next: hand frontend/label UX to Pi (brief staged); build patient rollup + WIRE orchestration in `api/main.py`/new pipeline module, NOT inside `coverage_calculator` (circular import). Each step auditor-reviewed. |
| 10 | NocoDB leads / CRM cleanup | Claude + Kisa | **BLOCKED** | Reason: leads table has no primary key (Signal-base data source `bdmhi02nks1pg6g` is corrupted — a fresh table there also came up PK-less; content base is healthy). SQLite can't add a PK to a populated table (Route 1 failed). Interim: capture still works (inserts via n8n `signal-cgm-lead`); the 2 test rows can't be deleted. | resolved by the data-platform decision (item 11) |
| 11 | Data-platform decision (leads + future PHI backend) | Kisa (with Claude/Pi analysis) | **OPEN** | Options analyzed: repaired-NocoDB / Supabase Postgres / Neon / AWS (already set up, BAA+RDS+S3 parked) / Convex ($25/mo incl. BAA). Leads = non-PHI (stay outside PHI boundary). Decision informed by the Convex spike. | run spike → decide |
| 12 | Research-versioning Layer-1 (`research-autopush.sh` + Stop-hook entry) | Claude | **NOT STARTED** | Dependency: Pi design exists (`docs/research-versioning-design-2026-06-24.md`). Lower priority than product. | next infra slot |

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@ -0,0 +1,286 @@
"""
readiness.py
Signal STTIL Solutions
The readiness verdict engine: grades ONE coverage line's documentation against
the five tracked items, separating two axes the old code conflated
required_state: does this plan need this item? (from plan_type + rules)
input_state: did the client supply data? (SUPPLIED | ABSENT)
This kills the "false green": a line is "Clear to Ship" only when EVERY required
item is satisfied by positive evidence. A required item with no data is
NOT_EVALUATED and blocks green green is never granted by absence of a
contradiction. plan_type is NEVER guessed; unknown -> "Plan Type Needed".
Spec: docs/readiness-model-brief-2026-06-23.md section 4.
Required-ness is read from payer_rules.json (single source of truth), NOT from
duplicated Python sets, removing the latent set-vs-JSON divergence the brief
flagged.
PROVISIONAL (flagged for Pi/Kisa): the mapping of gaps to the four UI labels
(At Risk / Action Needed / On Track) below is a reasonable default. The precise
label semantics + frontend nesting + "plan type needed" UX are a Pi design task.
PHI CONTRACT: operates only on plan_type and the five doc-status inputs. No
names, SSNs, DOBs, or contact fields.
"""
from __future__ import annotations
import json
import logging
from dataclasses import dataclass
from datetime import date
from enum import Enum
from functools import lru_cache
from pathlib import Path
from typing import Optional
logger = logging.getLogger(__name__)
PAYER_RULES_PATH = Path(__file__).parent.parent / "config" / "payer_rules.json"
# Plan types Signal can grade. Anything else (including None or "unknown") is
# treated as "plan type needed" — never defaulted, never guessed.
KNOWN_PLAN_TYPES = frozenset(
{"medicare", "medicare_advantage", "medicaid", "commercial"}
)
# Universal claim/coverage requirements per LCD L33822, independent of plan type.
UNIVERSAL_ITEMS = ("swo", "visit", "diagnosis")
DOC_TYPES = ("swo", "visit", "pecos", "pa", "diagnosis")
class RequiredState(str, Enum):
REQUIRED = "REQUIRED"
NOT_REQUIRED = "NOT_REQUIRED"
NOT_EVALUATED = "NOT_EVALUATED" # cannot decide (plan type unknown)
class InputState(str, Enum):
SUPPLIED = "SUPPLIED"
ABSENT = "ABSENT"
class Quality(str, Enum):
GOOD = "GOOD" # positive evidence the item is satisfied
PENDING = "PENDING" # supplied but in progress (not yet good, not bad)
BAD = "BAD" # supplied and contradicting (denied / expired / no)
NONE = "NONE" # nothing supplied
class LineStatus(str, Enum):
CLEAR_TO_SHIP = "Clear to Ship"
ON_TRACK = "On Track"
ACTION_NEEDED = "Action Needed"
AT_RISK = "At Risk"
PLAN_TYPE_NEEDED = "Plan Type Needed"
@dataclass
class DocItem:
doc_type: str
required_state: RequiredState
input_state: InputState
quality: Quality
value: Optional[str]
satisfied: bool
@dataclass
class ReadinessVerdict:
plan_type: Optional[str]
doc_items: list[DocItem]
line_status: LineStatus
@lru_cache(maxsize=1)
def _load_rules() -> dict:
with open(PAYER_RULES_PATH, "r") as f:
return json.load(f)
def _norm(value: Optional[str]) -> str:
return (value or "").strip().lower()
# --- per-item quality vocabularies -----------------------------------------
# Provisional synonym sets, fail-safe by design: an unrecognized value resolves
# to PENDING/BAD (over-flag), never GOOD. These belong next to payer_rules.json
# once the rules become addressable config; expand from the 25-CSV corpus.
_SWO_GOOD = {"on file", "on-file", "active", "valid", "received", "signed", "complete"}
_SWO_BAD = {"expired", "revoked", "cancelled", "canceled", "voided"}
_PECOS_GOOD = {"yes", "verified", "true", "1", "enrolled", "active", "approved"}
_PECOS_BAD = {"no", "not verified", "false", "0", "inactive", "denied", "revoked"}
_PA_GOOD = {"approved", "not required", "authorized", "auth on file", "on file"}
_PA_BAD = {"denied", "expired", "cancelled", "canceled", "revoked"}
# Diagnosis carries a real ICD-10 code OR a yes/no flag, so presence = positive
# evidence and only an EXPLICIT negative is a gap (inverted vs the others).
_DIAGNOSIS_BAD = {"no", "missing", "none", "false", "0", "not on file", "absent", "n/a"}
def _swo_quality(value: Optional[str]) -> Quality:
s = _norm(value)
if not s:
return Quality.NONE
if s in _SWO_GOOD:
return Quality.GOOD
if s in _SWO_BAD:
return Quality.BAD
return Quality.PENDING # "pending" or any other supplied state
def _visit_quality(csv_visit_date: Optional[date],
confirmed_visit_date: Optional[date]) -> Quality:
# A confirmed/staff visit date on file is positive evidence. The estimated
# shipment-minus-30 proxy is NOT client input and does not count here.
# SCOPE BOUNDARY (brief section 3): this verdict checks the visit is ON FILE.
# Whether it is still WITHIN the 6-month window is the separate timing layer
# (CoverageFlag / CoverageLine.timing_flag), combined at the worklist level.
if csv_visit_date or confirmed_visit_date:
return Quality.GOOD
return Quality.NONE
def _diagnosis_quality(value: Optional[str]) -> Quality:
s = _norm(value)
if not s:
return Quality.NONE
return Quality.BAD if s in _DIAGNOSIS_BAD else Quality.GOOD
def _pecos_quality(value: Optional[str]) -> Quality:
s = _norm(value)
if not s:
return Quality.NONE
if s in _PECOS_GOOD:
return Quality.GOOD
if s in _PECOS_BAD:
return Quality.BAD
return Quality.BAD # required Medicare item: unknown fails safe
def _pa_quality(value: Optional[str]) -> Quality:
s = _norm(value)
if not s:
return Quality.NONE
if s in _PA_GOOD:
return Quality.GOOD
if s in _PA_BAD:
return Quality.BAD
return Quality.PENDING # "pending", "not started", etc.
def _make_item(doc_type: str, required: RequiredState,
quality: Quality, value: Optional[str]) -> DocItem:
input_state = InputState.ABSENT if quality == Quality.NONE else InputState.SUPPLIED
if required == RequiredState.NOT_REQUIRED:
satisfied = True
elif required == RequiredState.NOT_EVALUATED:
satisfied = False # cannot confirm -> blocks green
else: # REQUIRED
satisfied = quality == Quality.GOOD
return DocItem(
doc_type=doc_type,
required_state=required,
input_state=input_state,
quality=quality,
value=value,
satisfied=satisfied,
)
def _required_from_config(plan_known: bool, plan_cfg: Optional[dict],
flag_key: str, plan_type: Optional[str]) -> RequiredState:
"""Required-ness for a plan-dependent item, read from config.
A missing config (known plan absent from payer_rules.json, or the flag key
missing) means we CANNOT decide -> NOT_EVALUATED, which blocks green. We
never treat a config gap as 'not required' (that was the false-green hole).
"""
if not plan_known:
return RequiredState.NOT_EVALUATED
if not plan_cfg or flag_key not in plan_cfg:
logger.warning(
"plan_type '%s' missing '%s' in payer_rules.json -> cannot grade %s",
plan_type, flag_key, flag_key,
)
return RequiredState.NOT_EVALUATED
return RequiredState.REQUIRED if bool(plan_cfg[flag_key]) else RequiredState.NOT_REQUIRED
def evaluate_readiness(
plan_type: Optional[str],
*,
csv_swo_status: Optional[str] = None,
csv_visit_date: Optional[date] = None,
confirmed_visit_date: Optional[date] = None,
csv_pecos_verified: Optional[str] = None,
csv_pa_status: Optional[str] = None,
csv_diagnosis_on_file: Optional[str] = None,
rules: Optional[dict] = None,
) -> ReadinessVerdict:
"""Grade one coverage line's five documentation items and roll up a line status."""
rules = rules if rules is not None else _load_rules()
# Normalize the client-mapped plan type (casing/whitespace only — never guess).
plan_type = _norm(plan_type) or None
plan_known = plan_type in KNOWN_PLAN_TYPES
# Plan-dependent required-ness from config (single source of truth, never sets).
plan_cfg = rules.get("payer_rules", {}).get(plan_type) if plan_known else None
pecos_required = _required_from_config(plan_known, plan_cfg, "pecos_required", plan_type)
pa_required = _required_from_config(plan_known, plan_cfg, "pa_required", plan_type)
visit_date = csv_visit_date or confirmed_visit_date
items = [
_make_item("swo", RequiredState.REQUIRED, _swo_quality(csv_swo_status), csv_swo_status),
_make_item("visit", RequiredState.REQUIRED,
_visit_quality(csv_visit_date, confirmed_visit_date),
visit_date.isoformat() if visit_date else None),
_make_item("diagnosis", RequiredState.REQUIRED,
_diagnosis_quality(csv_diagnosis_on_file), csv_diagnosis_on_file),
_make_item("pecos", pecos_required, _pecos_quality(csv_pecos_verified), csv_pecos_verified),
_make_item("pa", pa_required, _pa_quality(csv_pa_status), csv_pa_status),
]
return ReadinessVerdict(
plan_type=plan_type,
doc_items=items,
line_status=_line_status(items, plan_known),
)
def _line_status(items: list[DocItem], plan_known: bool) -> LineStatus:
"""Roll the five items into one line status.
Clear to Ship is reachable ONLY when every required item is satisfied.
Severity (worst first): Plan Type Needed / At Risk > Action Needed > On Track.
PROVISIONAL label mapping (flagged for Pi): At Risk = a supplied-and-bad
required item (active contradiction); Action Needed = a required item with
no data to chase; On Track = required items only in progress (pending).
"""
if not plan_known:
return LineStatus.PLAN_TYPE_NEEDED
# A known plan whose rules are missing from config cannot be fully graded
# (PECOS/PA NOT_EVALUATED). Fail safe: surface it, never grade it green.
if any(i.required_state == RequiredState.NOT_EVALUATED for i in items):
return LineStatus.PLAN_TYPE_NEEDED
# Green is earned only when EVERY item is satisfied (NOT_REQUIRED items are
# satisfied by definition; required items only by positive evidence).
if all(i.satisfied for i in items):
return LineStatus.CLEAR_TO_SHIP
required = [i for i in items if i.required_state == RequiredState.REQUIRED]
if any(i.quality == Quality.BAD for i in required):
return LineStatus.AT_RISK
if any(i.input_state == InputState.ABSENT for i in required):
return LineStatus.ACTION_NEEDED
return LineStatus.ON_TRACK

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tests/test_readiness.py Normal file
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"""
Tests for the readiness verdict engine the "kill the false green" logic.
Source spec: docs/readiness-model-brief-2026-06-23.md section 4 ("The verdict rule").
Two axes, never conflated into one string:
required_state: does this plan need this item? (from plan_type + rules)
input_state: did the client supply data? (SUPPLIED | ABSENT)
Per DocItem:
NOT_REQUIRED + any input -> satisfied (green-eligible)
REQUIRED + SUPPLIED + good -> satisfied
REQUIRED + SUPPLIED + bad -> gap
REQUIRED + ABSENT -> NOT_EVALUATED, blocks green, never satisfied
A line is "Clear to Ship" ONLY if EVERY required item is satisfied. Green is
earned by positive evidence, never granted by the absence of contradiction.
plan_type unknown -> "Plan Type Needed", structurally cannot be green.
"""
import sys
from pathlib import Path
sys.path.insert(0, str(Path(__file__).parent.parent / "python-backend"))
from datetime import date
from core.readiness import (
evaluate_readiness,
RequiredState,
InputState,
LineStatus,
)
VISIT = date(2026, 5, 1)
def items_by_type(verdict):
return {i.doc_type: i for i in verdict.doc_items}
# ---------------------------------------------------------------------------
# The four-rule verdict table (brief section 4)
# ---------------------------------------------------------------------------
def test_not_required_item_is_satisfied_even_when_absent():
"""Medicare FFS does not require PA -> PA is satisfied with no input at all."""
v = evaluate_readiness("medicare", csv_pa_status=None)
pa = items_by_type(v)["pa"]
assert pa.required_state == RequiredState.NOT_REQUIRED
assert pa.satisfied is True
def test_required_supplied_good_is_satisfied():
v = evaluate_readiness("medicare", csv_swo_status="On File")
swo = items_by_type(v)["swo"]
assert swo.required_state == RequiredState.REQUIRED
assert swo.input_state == InputState.SUPPLIED
assert swo.satisfied is True
def test_required_supplied_bad_is_gap():
v = evaluate_readiness("medicare", csv_swo_status="Expired")
swo = items_by_type(v)["swo"]
assert swo.satisfied is False
def test_required_absent_blocks_green():
"""THE false-green killer: a required item with no data is never satisfied."""
v = evaluate_readiness("medicare", csv_swo_status=None)
swo = items_by_type(v)["swo"]
assert swo.required_state == RequiredState.REQUIRED
assert swo.input_state == InputState.ABSENT
assert swo.satisfied is False
# ---------------------------------------------------------------------------
# Line status — clear to ship is earned, not defaulted
# ---------------------------------------------------------------------------
def _all_docs_good(**overrides):
base = dict(
csv_swo_status="On File",
csv_visit_date=VISIT,
csv_pecos_verified="Yes",
csv_pa_status="Not Required",
csv_diagnosis_on_file="Yes",
)
base.update(overrides)
return base
def test_clear_to_ship_when_every_required_item_satisfied():
v = evaluate_readiness("medicare", **_all_docs_good())
assert v.line_status == LineStatus.CLEAR_TO_SHIP
def test_missing_required_item_is_not_clear_to_ship():
"""Old code greened this (absent column = no gap). New code must not."""
v = evaluate_readiness("medicare", **_all_docs_good(csv_swo_status=None))
assert v.line_status != LineStatus.CLEAR_TO_SHIP
assert v.line_status == LineStatus.ACTION_NEEDED
def test_supplied_bad_required_item_is_at_risk():
v = evaluate_readiness("medicare_advantage", **_all_docs_good(csv_pa_status="Denied"))
assert v.line_status == LineStatus.AT_RISK
def test_pending_only_is_on_track():
"""No hard gap, no missing data, but an item still in progress -> On Track."""
v = evaluate_readiness("medicare", **_all_docs_good(csv_swo_status="Pending"))
assert v.line_status == LineStatus.ON_TRACK
def test_bad_outranks_absent_in_severity():
"""A denied item (At Risk) outranks a missing item (Action Needed)."""
v = evaluate_readiness(
"medicare_advantage",
**_all_docs_good(csv_pa_status="Denied", csv_diagnosis_on_file=None),
)
assert v.line_status == LineStatus.AT_RISK
# ---------------------------------------------------------------------------
# Plan type unknown — never guess, cannot be green
# ---------------------------------------------------------------------------
def test_plan_type_none_is_plan_type_needed():
v = evaluate_readiness(None, **_all_docs_good())
assert v.line_status == LineStatus.PLAN_TYPE_NEEDED
def test_plan_type_unknown_string_is_plan_type_needed():
"""An unmapped plan value is treated as unknown, never defaulted/guessed."""
v = evaluate_readiness("unknown", **_all_docs_good())
assert v.line_status == LineStatus.PLAN_TYPE_NEEDED
def test_plan_unknown_leaves_pecos_and_pa_not_evaluated():
v = evaluate_readiness(None, **_all_docs_good())
items = items_by_type(v)
assert items["pecos"].required_state == RequiredState.NOT_EVALUATED
assert items["pa"].required_state == RequiredState.NOT_EVALUATED
def test_plan_unknown_still_grades_universal_items():
"""SWO, visit, diagnosis are universal (LCD L33822) -> still graded when plan unknown."""
v = evaluate_readiness(None, csv_swo_status="On File")
swo = items_by_type(v)["swo"]
assert swo.required_state == RequiredState.REQUIRED
assert swo.satisfied is True
# ---------------------------------------------------------------------------
# Required-ness comes from payer_rules.json, not duplicated Python sets
# ---------------------------------------------------------------------------
def test_pecos_required_for_medicare():
v = evaluate_readiness("medicare", csv_pecos_verified=None)
assert items_by_type(v)["pecos"].required_state == RequiredState.REQUIRED
def test_pecos_not_required_for_medicaid():
"""Medicaid uses state enrollment, not PECOS (deferred) -> PECOS not required."""
v = evaluate_readiness("medicaid", csv_pecos_verified=None)
assert items_by_type(v)["pecos"].required_state == RequiredState.NOT_REQUIRED
def test_pa_required_for_medicaid():
v = evaluate_readiness("medicaid", csv_pa_status=None)
assert items_by_type(v)["pa"].required_state == RequiredState.REQUIRED
def test_pa_not_required_for_medicare_ffs():
v = evaluate_readiness("medicare", csv_pa_status=None)
assert items_by_type(v)["pa"].required_state == RequiredState.NOT_REQUIRED
def test_all_five_items_present():
v = evaluate_readiness("medicare", **_all_docs_good())
assert set(items_by_type(v).keys()) == {"swo", "visit", "pecos", "pa", "diagnosis"}
def test_diagnosis_supplied_negative_is_gap():
v = evaluate_readiness("medicare", **_all_docs_good(csv_diagnosis_on_file="No"))
dx = items_by_type(v)["diagnosis"]
assert dx.input_state == InputState.SUPPLIED
assert dx.satisfied is False
# ---------------------------------------------------------------------------
# Hardening (code-auditor findings H1, H2, M1, M2, M3, M4, L1)
# ---------------------------------------------------------------------------
def test_known_plan_missing_config_does_not_false_green():
"""H1/H2: a known plan absent from payer_rules.json must NOT grade green.
PECOS/PA cannot be evaluated without their rule config -> NOT_EVALUATED,
which must block 'Clear to Ship'. Fails safe, never open.
"""
v = evaluate_readiness(
"medicaid", rules={"payer_rules": {}},
**_all_docs_good(csv_pa_status="Denied"),
)
assert v.line_status != LineStatus.CLEAR_TO_SHIP
assert items_by_type(v)["pa"].required_state == RequiredState.NOT_EVALUATED
assert items_by_type(v)["pecos"].required_state == RequiredState.NOT_EVALUATED
def test_diagnosis_icd10_code_counts_as_on_file():
"""M2: a real ICD-10 code in the diagnosis field is positive evidence, not a gap."""
v = evaluate_readiness("medicare", **_all_docs_good(csv_diagnosis_on_file="E11.9"))
assert items_by_type(v)["diagnosis"].satisfied is True
def test_diagnosis_explicit_negative_is_bad():
v = evaluate_readiness("medicare", **_all_docs_good(csv_diagnosis_on_file="Missing"))
assert items_by_type(v)["diagnosis"].satisfied is False
def test_pecos_enrolled_synonym_is_good():
"""M3: standard PECOS portal statuses should read as verified."""
v = evaluate_readiness("medicare", **_all_docs_good(csv_pecos_verified="Enrolled"))
assert items_by_type(v)["pecos"].satisfied is True
def test_swo_active_synonym_is_good():
v = evaluate_readiness("medicare", **_all_docs_good(csv_swo_status="Active"))
assert items_by_type(v)["swo"].satisfied is True
def test_plan_type_case_and_whitespace_normalized():
"""M4: a correctly-mapped plan with stray case/space must still grade."""
v = evaluate_readiness(" Medicare ", **_all_docs_good())
assert v.line_status == LineStatus.CLEAR_TO_SHIP
def test_staff_confirmed_visit_carries_value_for_citation():
"""L1: a staff-confirmed visit (no CSV date) still records its date for the citation."""
v = evaluate_readiness(
"medicare", confirmed_visit_date=VISIT,
csv_swo_status="On File", csv_pa_status="Not Required",
csv_diagnosis_on_file="Yes", csv_pecos_verified="Yes",
)
assert items_by_type(v)["visit"].value == VISIT.isoformat()
def test_known_plan_types_match_payer_rules_config():
"""M1 drift guard: the gradeable allow-list must equal the configured plans."""
import json
rules_path = (
Path(__file__).parent.parent
/ "python-backend" / "config" / "payer_rules.json"
)
configured = set(json.loads(rules_path.read_text())["payer_rules"].keys()) - {"default"}
from core.readiness import KNOWN_PLAN_TYPES
assert set(KNOWN_PLAN_TYPES) == configured