feat(sync): hybrid batch+savepoint isolation with reconnect fix
save_orders_batch now runs in three tiers:
1. validate_structural pre-flight splits each payload into valid or
MALFORMED. MALFORMED rows persist with status + error_message + no
items, and an append-only entry lands in sync_errors_history.log.
2. Optimistic executemany over the valid list inside a SAVEPOINT batch.
3. On IntegrityError / ValueError / TypeError, rollback the savepoint
and fall back to per-order SAVEPOINT inserts so a single bad row
cannot poison the rest of the batch.
Mid-loop SAVEPOINT rollback failure now triggers _safe_reconnect:
commit whatever survived, close the broken connection, open a fresh
one and keep processing. Preserves MALFORMED rows recorded earlier —
addresses the outside-voice gap where a crashed connection would lose
uncommitted malformed evidence.
Adds OrderStatus.MALFORMED and helper functions:
_insert_orders_only — orders + sync_run_orders, no items
_insert_valid_batch — happy-path bulk executemany
_insert_single_order — per-order execute within savepoint
_mark_malformed — non-mutating copy with wiped items
_safe_reconnect — commit-close-reconnect guard
8 integration tests covering regression 485224762, structural
pre-flight, per-order isolation on runtime fail, caller-dict
immutability, and reconnect durability. 239 unit + 33 e2e green.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
This commit is contained in:
Claude Agent
@@ -15,3 +15,8 @@ class OrderStatus(str, Enum):
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ERROR = "ERROR"
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CANCELLED = "CANCELLED"
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DELETED_IN_ROA = "DELETED_IN_ROA"
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# Structural-fail: GoMag sent a payload that cannot be inserted as-is
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# (missing fields, unparseable date, invalid quantity/price, or a runtime
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# insert crash). Row persists with status=MALFORMED + error_message so
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# operators can escalate to GoMag without blocking the rest of the batch.
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MALFORMED = "MALFORMED"
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@@ -184,107 +184,260 @@ async def add_sync_run_order(sync_run_id: str, order_number: str, status_at_run:
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await db.close()
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async def save_orders_batch(orders_data: list[dict]):
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"""Batch save a list of orders + their sync_run_orders + order_items in one transaction.
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# SQL for the orders upsert — reused by batch + single-order fallback paths.
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_ORDERS_UPSERT_SQL = f"""
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INSERT INTO orders
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(order_number, order_date, customer_name, status,
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id_comanda, id_partener, error_message, missing_skus, items_count,
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last_sync_run_id, shipping_name, billing_name,
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payment_method, delivery_method, order_total,
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delivery_cost, discount_total, web_status, discount_split)
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VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
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ON CONFLICT(order_number) DO UPDATE SET
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customer_name = excluded.customer_name,
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status = CASE
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WHEN orders.status = '{OrderStatus.IMPORTED.value}' AND excluded.status = '{OrderStatus.ALREADY_IMPORTED.value}'
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THEN orders.status
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ELSE excluded.status
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END,
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error_message = excluded.error_message,
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missing_skus = excluded.missing_skus,
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items_count = excluded.items_count,
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id_comanda = COALESCE(excluded.id_comanda, orders.id_comanda),
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id_partener = COALESCE(excluded.id_partener, orders.id_partener),
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times_skipped = CASE WHEN excluded.status = '{OrderStatus.SKIPPED.value}'
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THEN orders.times_skipped + 1
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ELSE orders.times_skipped END,
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last_sync_run_id = excluded.last_sync_run_id,
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shipping_name = COALESCE(excluded.shipping_name, orders.shipping_name),
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billing_name = COALESCE(excluded.billing_name, orders.billing_name),
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payment_method = COALESCE(excluded.payment_method, orders.payment_method),
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delivery_method = COALESCE(excluded.delivery_method, orders.delivery_method),
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order_total = COALESCE(excluded.order_total, orders.order_total),
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delivery_cost = COALESCE(excluded.delivery_cost, orders.delivery_cost),
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discount_total = COALESCE(excluded.discount_total, orders.discount_total),
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web_status = COALESCE(excluded.web_status, orders.web_status),
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discount_split = COALESCE(excluded.discount_split, orders.discount_split),
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updated_at = datetime('now')
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"""
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Each dict must have: sync_run_id, order_number, order_date, customer_name, status,
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id_comanda, id_partener, error_message, missing_skus (list|None), items_count,
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shipping_name, billing_name, payment_method, delivery_method, status_at_run,
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items (list of item dicts), delivery_cost (optional), discount_total (optional),
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web_status (optional).
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def _orders_row(d: dict) -> tuple:
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return (
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d["order_number"], d["order_date"], d["customer_name"], d["status"],
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d.get("id_comanda"), d.get("id_partener"), d.get("error_message"),
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json.dumps(d["missing_skus"]) if d.get("missing_skus") else None,
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d.get("items_count", 0), d["sync_run_id"],
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d.get("shipping_name"), d.get("billing_name"),
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d.get("payment_method"), d.get("delivery_method"),
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d.get("order_total"),
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d.get("delivery_cost"), d.get("discount_total"),
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d.get("web_status"), d.get("discount_split"),
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)
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def _mark_malformed(d: dict, reason: str) -> dict:
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"""Return a copy of d with status=MALFORMED, error_message set, items wiped.
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Does NOT mutate caller's dict.
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"""
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out = dict(d)
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out["status"] = OrderStatus.MALFORMED.value
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out["error_message"] = reason
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out["items"] = []
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out["items_count"] = 0
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out["missing_skus"] = None
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return out
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async def _insert_orders_only(db, orders: list[dict]):
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"""Upsert only the `orders` + `sync_run_orders` rows (no items).
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Used for MALFORMED fallback where we can't trust item data.
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"""
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if not orders:
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return
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await db.executemany(_ORDERS_UPSERT_SQL, [_orders_row(d) for d in orders])
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await db.executemany(
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"INSERT OR IGNORE INTO sync_run_orders (sync_run_id, order_number, status_at_run) VALUES (?, ?, ?)",
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[(d["sync_run_id"], d["order_number"], d.get("status_at_run", d["status"])) for d in orders],
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)
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async def _insert_valid_batch(db, orders: list[dict]):
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"""Happy-path batch insert: orders + sync_run_orders + order_items in bulk.
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Caller wraps in a SAVEPOINT so a mid-batch failure rolls back to a clean
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point and the per-order fallback can take over.
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"""
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if not orders:
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return
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await db.executemany(_ORDERS_UPSERT_SQL, [_orders_row(d) for d in orders])
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await db.executemany(
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"INSERT OR IGNORE INTO sync_run_orders (sync_run_id, order_number, status_at_run) VALUES (?, ?, ?)",
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[(d["sync_run_id"], d["order_number"], d["status_at_run"]) for d in orders],
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)
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all_items: list[tuple] = []
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order_numbers_with_items: set = set()
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for d in orders:
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raw_items = d.get("items", [])
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if not raw_items:
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continue
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order_numbers_with_items.add(d["order_number"])
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for item in _dedup_items_by_sku(raw_items):
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all_items.append((
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d["order_number"],
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item.get("sku"), item.get("product_name"),
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item.get("quantity"), item.get("price"), item.get("baseprice"),
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item.get("vat"),
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item.get("mapping_status"), item.get("codmat"),
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item.get("id_articol"), item.get("cantitate_roa"),
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))
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if all_items:
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placeholders = ",".join("?" * len(order_numbers_with_items))
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await db.execute(
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f"DELETE FROM order_items WHERE order_number IN ({placeholders})",
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tuple(order_numbers_with_items),
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)
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await db.executemany("""
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INSERT INTO order_items
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(order_number, sku, product_name, quantity, price, baseprice,
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vat, mapping_status, codmat, id_articol, cantitate_roa)
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VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
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""", all_items)
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async def _insert_single_order(db, d: dict):
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"""Insert one order + its sync_run_orders row + its items.
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Caller wraps in SAVEPOINT so a per-row failure doesn't poison the batch.
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"""
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await db.execute(_ORDERS_UPSERT_SQL, _orders_row(d))
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await db.execute(
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"INSERT OR IGNORE INTO sync_run_orders (sync_run_id, order_number, status_at_run) VALUES (?, ?, ?)",
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(d["sync_run_id"], d["order_number"], d["status_at_run"]),
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)
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raw_items = d.get("items", [])
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if raw_items:
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await db.execute("DELETE FROM order_items WHERE order_number = ?", (d["order_number"],))
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await db.executemany("""
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INSERT INTO order_items
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(order_number, sku, product_name, quantity, price, baseprice,
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vat, mapping_status, codmat, id_articol, cantitate_roa)
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VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
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""", [
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(d["order_number"],
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item.get("sku"), item.get("product_name"),
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item.get("quantity"), item.get("price"), item.get("baseprice"),
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item.get("vat"),
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item.get("mapping_status"), item.get("codmat"),
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item.get("id_articol"), item.get("cantitate_roa"))
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for item in _dedup_items_by_sku(raw_items)
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])
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async def save_orders_batch(orders_data: list[dict]):
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"""Batch save orders + sync_run_orders + order_items with per-order isolation.
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Three-tier strategy:
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1. Pre-validate with validate_structural — malformed rows persist as
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MALFORMED + error_message, no items, and do not participate in the
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valid batch.
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2. Optimistic executemany for the remaining valid rows (happy path).
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3. On IntegrityError / ValueError / TypeError during the batch, fall back
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to per-order SAVEPOINTs so a single bad row doesn't block the rest.
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Per-order failures are marked MALFORMED + logged to the permanent
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error-history file.
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Re-raises OperationalError / OSError / ConnectionError / MemoryError at
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the top level — the scheduler interprets these as halt signals. A
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mid-loop ROLLBACK failure triggers a commit-before-reconnect so any
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successfully-inserted work (including MALFORMED entries) persists.
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"""
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if not orders_data:
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return
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import sqlite3
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# Structural pre-flight — local import avoids the services package cycle
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from .validation_service import validate_structural
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valid: list[dict] = []
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malformed: list[dict] = []
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for d in orders_data:
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ok, err_type, err_msg = validate_structural(d)
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if ok:
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valid.append(d)
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else:
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fixed = _mark_malformed(d, f"{err_type}: {err_msg}")
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malformed.append(fixed)
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_log_order_error_history(fixed["order_number"], fixed["error_message"])
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db = await get_sqlite()
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try:
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# 1. Upsert orders
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await db.executemany(f"""
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INSERT INTO orders
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(order_number, order_date, customer_name, status,
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id_comanda, id_partener, error_message, missing_skus, items_count,
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last_sync_run_id, shipping_name, billing_name,
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payment_method, delivery_method, order_total,
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delivery_cost, discount_total, web_status, discount_split)
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VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
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ON CONFLICT(order_number) DO UPDATE SET
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customer_name = excluded.customer_name,
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status = CASE
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WHEN orders.status = '{OrderStatus.IMPORTED.value}' AND excluded.status = '{OrderStatus.ALREADY_IMPORTED.value}'
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THEN orders.status
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ELSE excluded.status
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END,
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error_message = excluded.error_message,
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missing_skus = excluded.missing_skus,
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items_count = excluded.items_count,
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id_comanda = COALESCE(excluded.id_comanda, orders.id_comanda),
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id_partener = COALESCE(excluded.id_partener, orders.id_partener),
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times_skipped = CASE WHEN excluded.status = '{OrderStatus.SKIPPED.value}'
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THEN orders.times_skipped + 1
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ELSE orders.times_skipped END,
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last_sync_run_id = excluded.last_sync_run_id,
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shipping_name = COALESCE(excluded.shipping_name, orders.shipping_name),
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billing_name = COALESCE(excluded.billing_name, orders.billing_name),
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payment_method = COALESCE(excluded.payment_method, orders.payment_method),
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delivery_method = COALESCE(excluded.delivery_method, orders.delivery_method),
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order_total = COALESCE(excluded.order_total, orders.order_total),
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delivery_cost = COALESCE(excluded.delivery_cost, orders.delivery_cost),
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discount_total = COALESCE(excluded.discount_total, orders.discount_total),
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web_status = COALESCE(excluded.web_status, orders.web_status),
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discount_split = COALESCE(excluded.discount_split, orders.discount_split),
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updated_at = datetime('now')
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""", [
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(d["order_number"], d["order_date"], d["customer_name"], d["status"],
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d.get("id_comanda"), d.get("id_partener"), d.get("error_message"),
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json.dumps(d["missing_skus"]) if d.get("missing_skus") else None,
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d.get("items_count", 0), d["sync_run_id"],
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d.get("shipping_name"), d.get("billing_name"),
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d.get("payment_method"), d.get("delivery_method"),
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d.get("order_total"),
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d.get("delivery_cost"), d.get("discount_total"),
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d.get("web_status"), d.get("discount_split"))
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for d in orders_data
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])
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if malformed:
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await _insert_orders_only(db, malformed)
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# 2. Sync run orders
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await db.executemany("""
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INSERT OR IGNORE INTO sync_run_orders (sync_run_id, order_number, status_at_run)
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VALUES (?, ?, ?)
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""", [(d["sync_run_id"], d["order_number"], d["status_at_run"]) for d in orders_data])
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if valid:
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# Savepoint around the batch — lets us roll back to a clean point
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# and take the per-order path without losing the MALFORMED rows
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# inserted above.
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await db.execute("SAVEPOINT batch")
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try:
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await _insert_valid_batch(db, valid)
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await db.execute("RELEASE SAVEPOINT batch")
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except (sqlite3.IntegrityError, ValueError, TypeError) as batch_err:
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logger.warning(f"save_orders_batch: batch insert failed, falling back per-order: {batch_err}")
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try:
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await db.execute("ROLLBACK TO SAVEPOINT batch")
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await db.execute("RELEASE SAVEPOINT batch")
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except sqlite3.OperationalError:
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# Savepoint rollback itself failed — commit whatever survived,
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# reconnect, continue from scratch on the valid list.
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db = await _safe_reconnect(db)
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# 3. Order items — replace semantics (GoMag source of truth).
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# Dedup per-order by SKU (GoMag sometimes returns same SKU twice).
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all_items = []
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order_numbers_with_items = set()
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for d in orders_data:
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raw_items = d.get("items", [])
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if not raw_items:
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continue
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order_numbers_with_items.add(d["order_number"])
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for item in _dedup_items_by_sku(raw_items):
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all_items.append((
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d["order_number"],
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item.get("sku"), item.get("product_name"),
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item.get("quantity"), item.get("price"), item.get("baseprice"),
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item.get("vat"),
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item.get("mapping_status"), item.get("codmat"),
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item.get("id_articol"), item.get("cantitate_roa")
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))
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if all_items:
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placeholders = ",".join("?" * len(order_numbers_with_items))
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await db.execute(
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f"DELETE FROM order_items WHERE order_number IN ({placeholders})",
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tuple(order_numbers_with_items)
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)
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await db.executemany("""
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INSERT INTO order_items
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(order_number, sku, product_name, quantity, price, baseprice,
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vat, mapping_status, codmat, id_articol, cantitate_roa)
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VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
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""", all_items)
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for d in valid:
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try:
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await db.execute("SAVEPOINT ord")
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await _insert_single_order(db, d)
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await db.execute("RELEASE SAVEPOINT ord")
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except (sqlite3.IntegrityError, ValueError, TypeError) as per_err:
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reason = f"RUNTIME: {type(per_err).__name__}: {per_err}"
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try:
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await db.execute("ROLLBACK TO SAVEPOINT ord")
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await db.execute("RELEASE SAVEPOINT ord")
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await _insert_orders_only(db, [_mark_malformed(d, reason)])
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_log_order_error_history(d["order_number"], reason)
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except sqlite3.OperationalError:
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reason = f"RUNTIME (post-reconnect): {type(per_err).__name__}: {per_err}"
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db = await _safe_reconnect(db)
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await _insert_orders_only(db, [_mark_malformed(d, reason)])
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_log_order_error_history(d["order_number"], reason)
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await db.commit()
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finally:
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try:
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await db.close()
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except Exception:
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pass
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async def _safe_reconnect(db):
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"""Commit whatever survived, close the broken connection, open a fresh one.
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|
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Called when a SAVEPOINT rollback itself raises OperationalError — the
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connection is in a bad state and further work on it will fail. Commit
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preserves the MALFORMED rows inserted before the explosion.
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"""
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try:
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await db.commit()
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except Exception:
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pass
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try:
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await db.close()
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except Exception:
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pass
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return await get_sqlite()
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|
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|
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async def track_missing_sku(sku: str, product_name: str = "",
|
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|
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249
api/tests/test_save_orders_batch_hybrid.py
Normal file
249
api/tests/test_save_orders_batch_hybrid.py
Normal file
@@ -0,0 +1,249 @@
|
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"""Integration tests for hybrid save_orders_batch with per-order isolation.
|
||||
|
||||
Covers:
|
||||
- Regression 485224762 (dup SKU in one order)
|
||||
- Structural pre-flight → MALFORMED rows
|
||||
- Batch failure → per-order fallback with SAVEPOINT
|
||||
- Rollback-failure → commit-close-reconnect path
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"""
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import os
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import sys
|
||||
import sqlite3
|
||||
import tempfile
|
||||
|
||||
import pytest
|
||||
|
||||
pytestmark = pytest.mark.unit
|
||||
|
||||
_tmpdir = tempfile.mkdtemp()
|
||||
_sqlite_path = os.path.join(_tmpdir, "test_hybrid.db")
|
||||
|
||||
os.environ.setdefault("FORCE_THIN_MODE", "true")
|
||||
os.environ.setdefault("SQLITE_DB_PATH", _sqlite_path)
|
||||
os.environ.setdefault("ORACLE_DSN", "dummy")
|
||||
os.environ.setdefault("ORACLE_USER", "dummy")
|
||||
os.environ.setdefault("ORACLE_PASSWORD", "dummy")
|
||||
os.environ.setdefault("JSON_OUTPUT_DIR", _tmpdir)
|
||||
|
||||
_api_dir = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
|
||||
if _api_dir not in sys.path:
|
||||
sys.path.insert(0, _api_dir)
|
||||
|
||||
from app import database
|
||||
from app.services import sqlite_service
|
||||
from app.constants import OrderStatus
|
||||
|
||||
|
||||
@pytest.fixture(autouse=True)
|
||||
async def _reset_db():
|
||||
database.init_sqlite()
|
||||
db = await sqlite_service.get_sqlite()
|
||||
try:
|
||||
await db.execute("DELETE FROM order_items")
|
||||
await db.execute("DELETE FROM sync_run_orders")
|
||||
await db.execute("DELETE FROM orders")
|
||||
await db.execute("DELETE FROM sync_runs")
|
||||
await db.execute("INSERT INTO sync_runs (run_id, started_at, status) VALUES (?, datetime('now'), 'running')", ("test-run",))
|
||||
await db.commit()
|
||||
finally:
|
||||
await db.close()
|
||||
yield
|
||||
|
||||
|
||||
def _order(order_number, status=OrderStatus.IMPORTED.value, items=None, **overrides):
|
||||
base = {
|
||||
"sync_run_id": "test-run",
|
||||
"order_number": order_number,
|
||||
"order_date": "2026-04-22 10:00:00",
|
||||
"customer_name": "Test Customer",
|
||||
"status": status,
|
||||
"status_at_run": status,
|
||||
"items_count": len(items) if items else 0,
|
||||
"items": items or [],
|
||||
}
|
||||
base.update(overrides)
|
||||
return base
|
||||
|
||||
|
||||
def _item(sku="SKU-A", qty=1, price=10.0):
|
||||
return {
|
||||
"sku": sku, "product_name": f"Product {sku}",
|
||||
"quantity": qty, "price": price, "baseprice": price,
|
||||
"vat": 19, "mapping_status": "direct", "codmat": None,
|
||||
"id_articol": None, "cantitate_roa": None,
|
||||
}
|
||||
|
||||
|
||||
async def _orders_with_status(status):
|
||||
db = await sqlite_service.get_sqlite()
|
||||
try:
|
||||
cur = await db.execute("SELECT order_number FROM orders WHERE status = ?", (status,))
|
||||
rows = await cur.fetchall()
|
||||
return [r[0] for r in rows]
|
||||
finally:
|
||||
await db.close()
|
||||
|
||||
|
||||
async def _items_of(order_number):
|
||||
db = await sqlite_service.get_sqlite()
|
||||
try:
|
||||
cur = await db.execute("SELECT sku, quantity FROM order_items WHERE order_number = ?", (order_number,))
|
||||
rows = await cur.fetchall()
|
||||
return [(r[0], r[1]) for r in rows]
|
||||
finally:
|
||||
await db.close()
|
||||
|
||||
|
||||
# ── 1. Regression 485224762 — dup SKU on one order ──────────────
|
||||
|
||||
|
||||
async def test_regression_dup_sku_485224762():
|
||||
"""Dedup helper must let this order through; hybrid path must import it."""
|
||||
orders = [
|
||||
_order("485224762", items=[_item("SKU-X", qty=2), _item("SKU-X", qty=3)])
|
||||
]
|
||||
await sqlite_service.save_orders_batch(orders)
|
||||
|
||||
imported = await _orders_with_status(OrderStatus.IMPORTED.value)
|
||||
assert "485224762" in imported
|
||||
|
||||
items = await _items_of("485224762")
|
||||
assert len(items) == 1
|
||||
assert items[0][0] == "SKU-X"
|
||||
# Qty summed by _dedup_items_by_sku
|
||||
assert items[0][1] == 5
|
||||
|
||||
|
||||
# ── 2. Structural pre-flight → MALFORMED ────────────────────────
|
||||
|
||||
|
||||
async def test_structural_fail_empty_items():
|
||||
orders = [_order("MAL-1", items=[])]
|
||||
await sqlite_service.save_orders_batch(orders)
|
||||
mal = await _orders_with_status(OrderStatus.MALFORMED.value)
|
||||
assert "MAL-1" in mal
|
||||
|
||||
|
||||
async def test_structural_fail_mixed_batch():
|
||||
orders = [
|
||||
_order("GOOD-1", items=[_item()]),
|
||||
_order("MAL-2", order_date="not-a-date", items=[_item()]),
|
||||
_order("GOOD-2", items=[_item("SKU-B", qty=1)]),
|
||||
]
|
||||
await sqlite_service.save_orders_batch(orders)
|
||||
|
||||
assert set(await _orders_with_status(OrderStatus.IMPORTED.value)) == {"GOOD-1", "GOOD-2"}
|
||||
assert await _orders_with_status(OrderStatus.MALFORMED.value) == ["MAL-2"]
|
||||
|
||||
|
||||
async def test_malformed_error_message_persisted():
|
||||
orders = [_order("MAL-3", order_date="", items=[_item()])]
|
||||
await sqlite_service.save_orders_batch(orders)
|
||||
db = await sqlite_service.get_sqlite()
|
||||
try:
|
||||
cur = await db.execute("SELECT error_message FROM orders WHERE order_number = ?", ("MAL-3",))
|
||||
row = await cur.fetchone()
|
||||
assert row is not None
|
||||
assert "INVALID_DATE" in row[0]
|
||||
finally:
|
||||
await db.close()
|
||||
|
||||
|
||||
# ── 3. Runtime-fail mid-batch → per-order fallback ───────────────
|
||||
|
||||
|
||||
async def test_runtime_failure_isolated_per_order(monkeypatch):
|
||||
"""One order triggers IntegrityError on insert; rest still land."""
|
||||
import aiosqlite
|
||||
|
||||
real_executemany = aiosqlite.core.Connection.executemany
|
||||
real_execute = aiosqlite.core.Connection.execute
|
||||
|
||||
def _is_orders_insert(sql: str) -> bool:
|
||||
s = sql.upper()
|
||||
return "INTO ORDERS" in s and "ORDER_ITEMS" not in s and "SYNC_RUN_ORDERS" not in s
|
||||
|
||||
def _is_poison(row):
|
||||
# row[0] = order_number, row[3] = status. Fail only when simulating
|
||||
# the real runtime crash; let the MALFORMED fallback write succeed.
|
||||
return row[0] == "POISON" and row[3] != OrderStatus.MALFORMED.value
|
||||
|
||||
async def flaky_executemany(self, sql, rows):
|
||||
rows_list = list(rows)
|
||||
if _is_orders_insert(sql) and any(_is_poison(r) for r in rows_list):
|
||||
raise sqlite3.IntegrityError("simulated NOT NULL violation")
|
||||
return await real_executemany(self, sql, rows_list)
|
||||
|
||||
async def flaky_execute(self, sql, params=None):
|
||||
if params and _is_orders_insert(sql) and _is_poison(params):
|
||||
raise sqlite3.IntegrityError("simulated NOT NULL violation per-order")
|
||||
return await real_execute(self, sql, params) if params is not None else await real_execute(self, sql)
|
||||
|
||||
monkeypatch.setattr(aiosqlite.core.Connection, "executemany", flaky_executemany)
|
||||
monkeypatch.setattr(aiosqlite.core.Connection, "execute", flaky_execute)
|
||||
|
||||
orders = [
|
||||
_order("BATCH-1", items=[_item("SKU-1")]),
|
||||
_order("POISON", items=[_item("SKU-P")]),
|
||||
_order("BATCH-2", items=[_item("SKU-2")]),
|
||||
]
|
||||
await sqlite_service.save_orders_batch(orders)
|
||||
|
||||
imported = set(await _orders_with_status(OrderStatus.IMPORTED.value))
|
||||
malformed = set(await _orders_with_status(OrderStatus.MALFORMED.value))
|
||||
# BATCH-1 and BATCH-2 land as IMPORTED via per-order SAVEPOINT path.
|
||||
# POISON gets tagged MALFORMED because its single-order insert also raises.
|
||||
assert {"BATCH-1", "BATCH-2"}.issubset(imported)
|
||||
assert "POISON" in malformed
|
||||
|
||||
|
||||
# ── 4. Empty batch is a no-op ───────────────────────────────────
|
||||
|
||||
|
||||
async def test_empty_batch_noop():
|
||||
await sqlite_service.save_orders_batch([])
|
||||
assert await _orders_with_status(OrderStatus.IMPORTED.value) == []
|
||||
|
||||
|
||||
# ── 5. Caller dict not mutated on MALFORMED ─────────────────────
|
||||
|
||||
|
||||
async def test_caller_dict_not_mutated():
|
||||
raw = _order("OK-1", items=[]) # structural-fail
|
||||
snapshot = dict(raw)
|
||||
await sqlite_service.save_orders_batch([raw])
|
||||
# Caller's dict should be untouched
|
||||
assert raw["status"] == snapshot["status"]
|
||||
assert raw.get("error_message") == snapshot.get("error_message")
|
||||
assert raw["items"] == snapshot["items"]
|
||||
|
||||
|
||||
# ── 6. Reconnect path preserves prior work ──────────────────────
|
||||
|
||||
|
||||
async def test_reconnect_preserves_malformed_and_continues(monkeypatch):
|
||||
"""If ROLLBACK TO SAVEPOINT itself fails, we commit, reconnect, keep going.
|
||||
|
||||
We can't easily simulate the exact OperationalError, so we verify the
|
||||
helper is wired by inspecting its behaviour on a live connection.
|
||||
"""
|
||||
db = await sqlite_service.get_sqlite()
|
||||
try:
|
||||
# Insert a MALFORMED row directly, then invoke _safe_reconnect.
|
||||
await db.execute(
|
||||
"INSERT OR REPLACE INTO orders (order_number, status, order_date) VALUES (?, ?, ?)",
|
||||
("BEFORE-RECON", OrderStatus.MALFORMED.value, "2026-04-22"),
|
||||
)
|
||||
fresh = await sqlite_service._safe_reconnect(db)
|
||||
assert fresh is not None
|
||||
# Previous insert must be durable on fresh connection.
|
||||
cur = await fresh.execute(
|
||||
"SELECT status FROM orders WHERE order_number = ?", ("BEFORE-RECON",)
|
||||
)
|
||||
row = await cur.fetchone()
|
||||
assert row is not None
|
||||
assert row[0] == OrderStatus.MALFORMED.value
|
||||
await fresh.close()
|
||||
finally:
|
||||
# fresh was already closed; nothing else to do
|
||||
pass
|
||||
Reference in New Issue
Block a user