Rule Evaluation taking around 10,000-15,000 ms for around 10k rules.

Non è indicato alcun file del repository, test o punto di ingresso. Inizia riproducendo la valutazione segnalata con la struttura delle regole fornita e circa 10.000 regole, quindi esegui il profiling del percorso di valutazione e documenta l'operazione limitante; completato significa avere una causa misurata e un miglioramento delle prestazioni validato.

hi @CacheControl , We are using json-rule-engine in our project to get outcome by evaluating around 10k records stored in mongodb.
I am sharing one rule for your reference. We have 10k record like this in our project and evaluating it against facts takes around 10-15 seconds.

{ "conditions": { "all": [ { "fact": "customer_delivery_address", "operator": "equal", "factLabel": "Customer Delivery Address", "value": "GB", "valueSet": [ { "value": "GB", "label": "GB" } ] }, { "fact": "customer_tier", "operator": "equal", "factLabel": "Customer Tier", "value": "gold", "valueSet": [ { "value": "gold", "label": "Gold" } ] }, { "fact": "new_customer", "operator": "isBoolean", "factLabel": "New Customer", "value": true, "valueSet": [ { "value": true, "label": true } ] }, { "fact": "order_amount", "operator": "greaterThan", "factLabel": "Order Amount", "value": 2500, "valueSet": [ { "value": 2500, "label": "2500" } ] }, { "fact": "order_count", "operator": "lessThan", "factLabel": "Order Count", "value": 100, "valueSet": [ { "value": 100, "label": "100" } ] }, { "fact": "order_date", "operator": "isDateGreaterThan", "factLabel": "Order Date", "value": "2024-02-01T05:15:44Z", "valueSet": [ { "value": "2024-02-01T05:15:44Z", "label": "2024-02-01T05:15:44Z" } ] }, { "fact": "order_date", "operator": "isDateLessThan", "factLabel": "Order Date", "value": "2024-03-01T05:10:50Z", "valueSet": [ { "value": "2024-03-01T05:10:50Z", "label": "2024-03-01T05:10:50Z" } ] }, { "fact": "order_state", "operator": "equal", "factLabel": "Order State", "value": "confirmed", "valueSet": [ { "value": "confirmed", "label": "Confirmed" } ] }, { "fact": "payment_state", "operator": "equal", "factLabel": "Payment State", "value": "paid", "valueSet": [ { "value": "paid", "label": "Paid" } ] }, { "fact": "customers", "operator": "equal", "factLabel": "Customers", "value": "sample@gmail.com", "valueSet": [ { "value": "sample@gmail.com", "label": "sample@gmail.com" } ] } ] }, "event": { "type": "categories", "params": { "label": "Category", "value": "Fitness Kit", "key": "8173dfd1-d8a1-417d-ab78-07dfa6799f59", "operator": "is", "source": "resource" } } }

Can you please help me understand why it is taking so much time to evaluate this type of rule. If possible please share solutions for improving performance also.