feat(sp30): Dashboard Recent batches widget with billing outcome
- backend: GET /api/batches now returns acceptedCount/rejectedCount/ pendingCount/billedTotal/topRejectionReason/hasProblem per item (one GROUP BY query + one ordered scan, no N+1) - backend: 2 tests pin the 837p full-bucket case + the 835 zero case - frontend: BatchSummary extended with 6 optional fields (backwards compat preserved) - frontend: new RecentBatchesWidget renders one row per batch with status icon + billed total + accepted count + top rejection reason - frontend: 837p rows show $ total + 'N/M accepted'; 835 rows show payment count (Remittance has no batch-level total_charge) - frontend: full-width row between KPI tiles and Activity on the Dashboard; click navigates to /batches?batch=ID - frontend: 3 component tests cover empty/clean/problem/835 branches
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@@ -1766,6 +1766,153 @@ def _batch_summary_claim_ids(rec: BatchRecord) -> list[str]:
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]
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# SP30: state buckets the Dashboard widget (and any future "how the
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# last batch billed" surface) reads at a glance. Keep these in sync
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# with ClaimState — adding a new state here is a deliberate decision
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# the operator needs to see, not a coincidence.
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_BATCH_SUMMARY_ACCEPTED_STATES: tuple[ClaimState, ...] = (
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ClaimState.PAID,
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ClaimState.RECEIVED,
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ClaimState.RECONCILED,
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ClaimState.PARTIAL,
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)
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_BATCH_SUMMARY_REJECTED_STATES: tuple[ClaimState, ...] = (
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ClaimState.REJECTED,
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ClaimState.DENIED,
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ClaimState.REVERSED,
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)
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_BATCH_SUMMARY_PENDING_STATES: tuple[ClaimState, ...] = (
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ClaimState.SUBMITTED,
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)
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# 277CA STC category A4/A6/A7 — payer-side rejections that may not
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# yet have flipped Claim.state (the operator hasn't acknowledged).
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# The Dashboard widget treats these as problems too, mirroring the
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# Inbox `rejected + payer_rejected` aggregation.
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_BATCH_SUMMARY_PAYER_REJECT_CODES: tuple[str, ...] = ("A4", "A6", "A7")
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def _batch_summary_billing_outcomes(
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records: list[BatchRecord],
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) -> dict[str, dict]:
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"""Compute per-batch billing outcome for the Dashboard widget.
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Returns ``{batch_id: {accepted, rejected, pending, billed,
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top_rejection_reason, has_problem}}`` for every batch in
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``records``. Empty input → empty dict.
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Two SQL queries, both bounded by the supplied batch ids:
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1. One GROUP BY ``(batch_id, state)`` aggregate that produces
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the accepted/rejected/pending counts and the sum of
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``charge_amount`` (the billed total). Single pass — no N+1.
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2. One ordered scan over the rejected + payer-rejected subset
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to pick the most recent rejection reason (truncated to 60
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chars). Skipped when the first query found no rejections
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and no payer-rejects, so the happy path stays at one query.
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835 batches have no Claim rows — the GROUP BY returns no
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rows for them, so the dict entry for an 835 batch is
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``{accepted:0, rejected:0, pending:0, billed:0.0,
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top_rejection_reason:None, has_problem:False}`` (filled by
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the caller's ``.get(id, defaults)`` pattern).
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"""
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if not records:
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return {}
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from sqlalchemy import func # local import to keep top-of-file light
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batch_ids = [r.id for r in records]
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outcome: dict[str, dict] = {
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bid: {
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"accepted": 0,
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"rejected": 0,
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"pending": 0,
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"billed": 0.0,
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"top_rejection_reason": None,
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"has_problem": False,
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}
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for bid in batch_ids
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}
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with db.SessionLocal()() as s:
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# ---- 1. GROUP BY (batch_id, state) for counts + billed total ----
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rows = (
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s.query(
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Claim.batch_id,
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Claim.state,
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func.count(Claim.id),
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func.coalesce(func.sum(Claim.charge_amount), 0),
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)
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.filter(Claim.batch_id.in_(batch_ids))
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.group_by(Claim.batch_id, Claim.state)
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.all()
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)
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any_rejection_or_payer = False
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for batch_id, state, count, billed in rows:
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slot = outcome.get(batch_id)
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if slot is None:
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continue # batch has no row in our pre-allocated dict
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count = int(count or 0)
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billed_f = float(billed or 0)
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slot["billed"] += billed_f
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if state in _BATCH_SUMMARY_ACCEPTED_STATES:
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slot["accepted"] += count
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elif state in _BATCH_SUMMARY_REJECTED_STATES:
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slot["rejected"] += count
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any_rejection_or_payer = True
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elif state in _BATCH_SUMMARY_PENDING_STATES:
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slot["pending"] += count
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# everything else (DRAFT, etc.) is excluded from the widget.
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# ---- 2. Most-recent rejection reason + payer-reject probe ----
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# Only run when we know there IS at least one rejection OR a
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# payer-reject claim somewhere in the batch set; otherwise
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# the first query alone is enough.
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if any_rejection_or_payer:
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rej_rows = (
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s.query(
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Claim.batch_id,
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Claim.rejection_reason,
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Claim.payer_rejected_status_code,
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)
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.filter(
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Claim.batch_id.in_(batch_ids),
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Claim.state.in_(_BATCH_SUMMARY_REJECTED_STATES)
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| Claim.payer_rejected_status_code.in_(
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_BATCH_SUMMARY_PAYER_REJECT_CODES
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),
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)
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.order_by(Claim.rejected_at.desc().nullslast())
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.all()
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)
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seen_reason: set[str] = set()
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for batch_id, reason, payer_code in rej_rows:
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slot = outcome.get(batch_id)
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if slot is None:
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continue
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if payer_code in _BATCH_SUMMARY_PAYER_REJECT_CODES:
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slot["has_problem"] = True
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# Capture the first non-null reason for this batch
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# (rej_rows is ordered newest-first, so the first
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# non-null wins). Truncate to 60 chars + ellipsis.
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if (
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slot["top_rejection_reason"] is None
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and reason
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and batch_id not in seen_reason
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):
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r = reason.strip()
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if len(r) > 60:
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r = r[:60] + "…"
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slot["top_rejection_reason"] = r
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seen_reason.add(batch_id)
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if (
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slot["rejected"] > 0
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or payer_code in _BATCH_SUMMARY_PAYER_REJECT_CODES
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):
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slot["has_problem"] = True
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return outcome
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@app.get("/api/batches", dependencies=[Depends(matrix_gate)])
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def list_batches(
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request: Request,
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@@ -1778,8 +1925,16 @@ def list_batches(
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row without an extra round-trip to ``/api/batches/{id}``. The
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list is still capped at ``limit`` claims; see the full result
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via the by-id endpoint when more is needed.
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SP30: also returns billing-outcome fields
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(``acceptedCount`` / ``rejectedCount`` / ``pendingCount`` /
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``billedTotal`` / ``topRejectionReason`` / ``hasProblem``) so
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the Dashboard "Recent batches" widget can render one row per
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batch without an N+1 fetch. See
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:func:`_batch_summary_billing_outcomes`.
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"""
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records = store.list(limit=limit)
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outcomes = _batch_summary_billing_outcomes(records)
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items = [
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{
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"id": r.id,
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@@ -1788,6 +1943,14 @@ def list_batches(
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"parsedAt": r.parsed_at.isoformat().replace("+00:00", "Z"),
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"claimCount": _batch_summary_claim_count(r),
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"claimIds": _batch_summary_claim_ids(r),
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"acceptedCount": outcomes.get(r.id, {}).get("accepted", 0),
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"rejectedCount": outcomes.get(r.id, {}).get("rejected", 0),
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"pendingCount": outcomes.get(r.id, {}).get("pending", 0),
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"billedTotal": round(outcomes.get(r.id, {}).get("billed", 0.0), 2),
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"topRejectionReason": outcomes.get(r.id, {}).get(
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"top_rejection_reason"
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),
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"hasProblem": outcomes.get(r.id, {}).get("has_problem", False),
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}
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for r in records
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]
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