#5 Set rejected transaction status, and associated error codes, to on…

…ly occur when card hash is not null.

scripts/utilities/gen_trans_status.py

@@ -24,48 +24,51 @@ def gen_trans_status(series, rejection_rates_dict):
         "ip_country_code",
         "card_country_code",
     ]
-    # add rejections based on crime rates within country codes
-    if rejection_rates_dict["country_code_trans_reject_rate_dict"][
-        np.random.choice(a=series[country_code_columns].dropna().to_list(), size=1)[0]
-    ] >= random.uniform(0, 1):
-        status = "rejected"
-    # add rejections based on domain frequencies
-    elif rejection_rates_dict["domain_email_trans_reject_rate_dict"][
-        series["email_domain"]
-    ] >= random.uniform(0, 1):
-        status = "rejected"
-    # add rejections based on inconsistent country codes
-    elif cons.data_model_inconsistent_country_codes_rejection_rate[
-        series[country_code_columns].dropna().nunique()
-    ] >= random.uniform(0, 1):
-        status = "rejected"
-    # add rejections based on shared ips, cards and devices
-    elif series["device_hash"] == series["device_hash"] and rejection_rates_dict[
-        "shared_devices_reject_rate_dict"
-    ][series["device_hash"]] >= random.uniform(0, 1):
-        status = "rejected"
-    elif series["ip_hash"] == series["ip_hash"] and rejection_rates_dict[
-        "shared_ips_reject_rate_dict"
-    ][series["ip_hash"]] >= random.uniform(0, 1):
-        status = "rejected"
-    elif series["card_hash"] == series["card_hash"] and rejection_rates_dict[
-        "shared_cards_reject_rate_dict"
-    ][series["card_hash"]] >= random.uniform(0, 1):
-        status = "rejected"
-    # add rejections based on counts of devices, ips and cards
-    elif rejection_rates_dict["count_devices_reject_rate_dict"][
-        series["userid"]
-    ] >= random.uniform(0, 1):
-        status = "rejected"
-    elif rejection_rates_dict["count_ips_reject_rate_dict"][
-        series["userid"]
-    ] >= random.uniform(0, 1):
-        status = "rejected"
-    elif rejection_rates_dict["count_cards_reject_rate_dict"][
-        series["userid"]
-    ] >= random.uniform(0, 1):
-        status = "rejected"
-    # otherwise return successful status
+    if series['card_hash'] == series['card_hash']:
+        # add rejections based on crime rates within country codes
+        if rejection_rates_dict["country_code_trans_reject_rate_dict"][
+            np.random.choice(a=series[country_code_columns].dropna().to_list(), size=1)[0]
+        ] >= random.uniform(0, 1):
+            status = "rejected"
+        # add rejections based on domain frequencies
+        elif rejection_rates_dict["domain_email_trans_reject_rate_dict"][
+            series["email_domain"]
+        ] >= random.uniform(0, 1):
+            status = "rejected"
+        # add rejections based on inconsistent country codes
+        elif cons.data_model_inconsistent_country_codes_rejection_rate[
+            series[country_code_columns].dropna().nunique()
+        ] >= random.uniform(0, 1):
+            status = "rejected"
+        # add rejections based on shared ips, cards and devices
+        elif series["device_hash"] == series["device_hash"] and rejection_rates_dict[
+            "shared_devices_reject_rate_dict"
+        ][series["device_hash"]] >= random.uniform(0, 1):
+            status = "rejected"
+        elif series["ip_hash"] == series["ip_hash"] and rejection_rates_dict[
+            "shared_ips_reject_rate_dict"
+        ][series["ip_hash"]] >= random.uniform(0, 1):
+            status = "rejected"
+        elif series["card_hash"] == series["card_hash"] and rejection_rates_dict[
+            "shared_cards_reject_rate_dict"
+        ][series["card_hash"]] >= random.uniform(0, 1):
+            status = "rejected"
+        # add rejections based on counts of devices, ips and cards
+        elif rejection_rates_dict["count_devices_reject_rate_dict"][
+            series["userid"]
+        ] >= random.uniform(0, 1):
+            status = "rejected"
+        elif rejection_rates_dict["count_ips_reject_rate_dict"][
+            series["userid"]
+        ] >= random.uniform(0, 1):
+            status = "rejected"
+        elif rejection_rates_dict["count_cards_reject_rate_dict"][
+            series["userid"]
+        ] >= random.uniform(0, 1):
+            status = "rejected"
+        # otherwise return successful status
+        else:
+            status = series["transaction_status"]
     else:
-        status = series["transaction_status"]
+        status = np.random.choice(a=['successful', 'pending'], size=1, p=[0.98, 0.02])[0]
     return status