ajuste no contas

app/domain/contas/workflow_actions.py

@@ -244,6 +244,96 @@ def _money(value: Any) -> str:
     return f"{d:.2f}".replace(".", ",")
 
 
+def _invoice_focus_normalize(value: Any) -> str:
+    """Normalize customer/item wording only for conservative invoice focus matching.
+
+    This does not infer a charge.  It is used only to narrow an already fetched
+    current-invoice payload to an item whose meaningful name tokens are all present
+    in the customer's utterance.  The backend data remains the authority.
+    """
+    import unicodedata
+    raw = unicodedata.normalize("NFKD", str(value or "").lower().replace("+", " mais "))
+    raw = "".join(ch for ch in raw if not unicodedata.combining(ch))
+    return " ".join(re.sub(r"[^a-z0-9]+", " ", raw).split())
+
+
+def _focused_invoice_explanation(user_text: str, billing_analysis: Any) -> str:
+    """Return a factual explanation focused on invoice items named by the user.
+
+    The legacy Billing Analysis ``invoiceExplanation`` is a global variation summary
+    and can omit a specifically questioned item even when that item exists in
+    ``currentInvoice``.  In that case the generic summary is the wrong customer
+    answer and can trigger AOFERTA for mentioning unrelated services.
+
+    We narrow only when the user's utterance contains every meaningful token of an
+    authoritative current-invoice item name (e.g. ``VOD + Canais abertos``).
+    Otherwise the existing global explanation remains untouched.
+    """
+    if not isinstance(billing_analysis, dict):
+        return ""
+    user_norm = _invoice_focus_normalize(user_text)
+    if not user_norm:
+        return ""
+    user_tokens = set(user_norm.split())
+    stop = {"de", "do", "da", "dos", "das", "e", "mais", "a", "o", "um", "uma"}
+    matches: list[dict[str, Any]] = []
+    for section in billing_analysis.get("currentInvoice") or []:
+        if not isinstance(section, dict):
+            continue
+        for item in section.get("items") or []:
+            if not isinstance(item, dict):
+                continue
+            desc = str(item.get("desc") or "").strip()
+            if not desc:
+                continue
+            desc_tokens = [t for t in _invoice_focus_normalize(desc).split() if t not in stop and len(t) > 1]
+            # Require at least two meaningful tokens.  This avoids narrowing on
+            # generic one-word coincidences such as "plano" or "servico".
+            if len(desc_tokens) < 2 or not all(t in user_tokens for t in desc_tokens):
+                continue
+            matches.append(item)
+    if not matches:
+        return ""
+
+    # Keep a single canonical item family. If the utterance happens to fully match
+    # more than one distinct name, do not guess which one the customer meant.
+    names = {}
+    for item in matches:
+        key = _invoice_focus_normalize(item.get("desc"))
+        names.setdefault(key, []).append(item)
+    if len(names) != 1:
+        return ""
+    items = next(iter(names.values()))
+    canonical = str(items[0].get("desc") or "cobrança").strip()
+
+    def fmt_date(value: Any) -> str:
+        raw = str(value or "").strip()
+        m = re.match(r"^(\d{4})-(\d{2})-(\d{2})", raw)
+        if m:
+            return f"{m.group(3)}/{m.group(2)}/{m.group(1)}"
+        return raw
+
+    details = []
+    for item in items:
+        value = _money(item.get("value"))
+        date = fmt_date(item.get("date"))
+        details.append(f"R$ {value}" + (f" em {date}" if date else ""))
+    count = len(details)
+    if count == 1:
+        prefix = f"Na fatura atual, identifiquei uma cobrança de {canonical}: "
+    else:
+        prefix = f"Na fatura atual, identifiquei {count} cobranças de {canonical}: "
+    if count == 1:
+        detail_text = details[0]
+    else:
+        detail_text = ", ".join(details[:-1]) + " e " + details[-1]
+    return (
+        prefix + detail_text + ". "
+        "Os dados consultados comprovam esses lançamentos na fatura, mas não informam "
+        "a origem ou contratação além do item faturado."
+    )
+
+
 def _normalize_contestation_name(value: Any) -> str:
     import unicodedata
     text = unicodedata.normalize("NFKD", str(value or "").strip())
@@ -641,7 +731,9 @@ def build_contas_workflow_actions(service: ContasDomainService, *, idempotency_s
                 call_args = dict(params)
                 call_args.pop("msisdn", None)
                 evidence = service.invoice_explanation(msisdn=msisdn, **call_args)
-                text = _extract_invoice_text(evidence.get("billing_analysis"))
+                billing_analysis = evidence.get("billing_analysis") if isinstance(evidence, dict) else None
+                user_text = str(_first(params, state, "message", "text", "customer_message", "user_text") or "").strip()
+                text = _focused_invoice_explanation(user_text, billing_analysis) or _extract_invoice_text(billing_analysis)
             except TimApiError as exc:
                 transport = {"_transport": {"rct_operation": "base_conhecimento", "attempts": list(exc.attempts or [])}}
                 rct_events = _transport_rct_events(transport)
@@ -1104,7 +1196,7 @@ def build_contas_workflow_actions(service: ContasDomainService, *, idempotency_s
         concurrency = max(1, int(os.getenv("TIM_CANCELAMENTO_BATCH_CONCURRENCY", "5")))
         semaphore = asyncio.Semaphore(concurrency)
 
-        async def _process_item(item: dict[str, Any]) -> dict[str, Any]:
+        async def _process_item_impl(item: dict[str, Any]) -> dict[str, Any]:
             async with semaphore:
                 msisdn = str(item.get("msisdn") or _first(params, state, "msisdn"))
                 subject = str(item.get("name") or item.get("desc") or item.get("subject") or "")
@@ -1165,7 +1257,37 @@ def build_contas_workflow_actions(service: ContasDomainService, *, idempotency_s
                         await idempotency_store.set(key, item_result)
                     return item_result
                 except Exception as exc:
-                    return {"success": False, "msisdn": msisdn, "subject": subject, "error": str(exc), "protocol": protocol}
+                    return {
+                        "success": False,
+                        "msisdn": msisdn,
+                        "subject": subject,
+                        "reason": "cancel_vas_failed",
+                        "error": str(exc),
+                        "protocol": protocol,
+                        "recoverable": True,
+                    }
+
+        async def _process_item(item: dict[str, Any]) -> dict[str, Any]:
+            """Boundary de robustez: nenhuma falha técnica de um item derruba o batch/request."""
+            try:
+                return await _process_item_impl(item)
+            except Exception as exc:
+                msisdn = str(item.get("msisdn") or _first(params, state, "msisdn"))
+                subject = str(item.get("name") or item.get("desc") or item.get("subject") or "")
+                logger.exception(
+                    "Falha não tratada no cancelamento VAS; convertendo em resultado recuperável msisdn=%s subject=%s",
+                    msisdn,
+                    subject,
+                )
+                return {
+                    "success": False,
+                    "msisdn": msisdn,
+                    "subject": subject,
+                    "reason": "internal_processing_failed",
+                    "error": str(exc),
+                    "recoverable": True,
+                    "fallback_applied": True,
+                }
 
         valid_items = [dict(x) for x in items if isinstance(x, dict)]
         results = list(await asyncio.gather(*[_process_item(item) for item in valid_items])) if valid_items else []