# auditlog_logentry

object_pk: 17
object_repr: Panasonic-LPT0017
timestamp: 2025-07-11 10:59:16.678924
remote_addr: 127.0.0.1
changes:
  {"id": ["None", "17"], "asset_report": ["None", "asset.AssetReport.None"], "asset_name": ["None", "Panasonic"], "asset_description": ["None", "None"], "asset_tracking_id": ["None", "LPT0017"], "asset_purchase_date": ["None", "2022-07-07"], "asset_purchase_cost": ["None", "15014.00"], "asset_category_id": ["None", "1"], "asset_status": ["None", "Available"], "asset_lot_number_id": ["None", "1"], "expiry_date": ["None", "None"], "notify_before": ["None", "1"], "created_at": ["None", "2025-06-22 07:32:08.392000"], "created_by": ["None", "1"], "modified_by": ["None", "1"], "is_active": ["None", "True"]}


object_pk: 18
object_repr: Microsoft Surface-LPT0018
timestamp: 2025-07-11 10:59:16.679857
remote_addr: 127.0.0.1
changes:
  {"id": ["None", "18"], "asset_report": ["None", "asset.AssetReport.None"], "asset_name": ["None", "Microsoft Surface"], "asset_description": ["None", "None"], "asset_tracking_id": ["None", "LPT0018"], "asset_purchase_date": ["None", "2022-07-07"], "asset_purchase_cost": ["None", "15015.00"], "asset_category_id": ["None", "1"], "asset_status": ["None", "Available"], "asset_lot_number_id": ["None", "1"], "expiry_date": ["None", "None"], "notify_before": ["None", "1"], "created_at": ["None", "2025-06-22 07:32:08.430000"], "created_by": ["None", "1"], "modified_by": ["None", "1"], "is_active": ["None", "True"]}


object_pk: 19
object_repr: Chromebook-LPT0019
timestamp: 2025-07-11 10:59:16.680792
remote_addr: 127.0.0.1
changes:
  {"id": ["None", "19"], "asset_report": ["None", "asset.AssetReport.None"], "asset_name": ["None", "Chromebook"], "asset_description": ["None", "None"], "asset_tracking_id": ["None", "LPT0019"], "asset_purchase_date": ["None", "2022-07-07"], "asset_purchase_cost": ["None", "15016.00"], "asset_category_id": ["None", "1"], "asset_status": ["None", "Available"], "asset_lot_number_id": ["None", "1"], "expiry_date": ["None", "None"], "notify_before": ["None", "1"], "created_at": ["None", "2025-06-22 07:32:08.459000"], "created_by": ["None", "1"], "modified_by": ["None", "1"], "is_active": ["None", "True"]}


object_pk: 20
object_repr: Gateway.-LPT0020
timestamp: 2025-07-11 10:59:16.681727
remote_addr: 127.0.0.1
changes:
  {"id": ["None", "20"], "asset_report": ["None", "asset.AssetReport.None"], "asset_name": ["None", "Gateway."], "asset_description": ["None", "None"], "asset_tracking_id": ["None", "LPT0020"], "asset_purchase_date": ["None", "2022-07-07"], "asset_purchase_cost": ["None", "15017.00"], "asset_category_id": ["None", "1"], "asset_status": ["None", "Available"], "asset_lot_number_id": ["None", "1"], "expiry_date": ["None", "None"], "notify_before": ["None", "1"], "created_at": ["None", "2025-06-22 07:32:08.481000"], "created_by": ["None", "1"], "modified_by": ["None", "1"], "is_active": ["None", "True"]}


object_pk: 21
object_repr: Dell XPS 13-LPT0021
timestamp: 2025-07-11 10:59:16.682665
remote_addr: 127.0.0.1
changes:
  {"id": ["None", "21"], "asset_report": ["None", "asset.AssetReport.None"], "asset_name": ["None", "Dell XPS 13"], "asset_description": ["None", "None"], "asset_tracking_id": ["None", "LPT0021"], "asset_purchase_date": ["None", "2022-07-07"], "asset_purchase_cost": ["None", "15018.00"], "asset_category_id": ["None", "1"], "asset_status": ["None", "Available"], "asset_lot_number_id": ["None", "1"], "expiry_date": ["None", "None"], "notify_before": ["None", "1"], "created_at": ["None", "2025-06-22 07:32:08.503000"], "created_by": ["None", "1"], "modified_by": ["None", "1"], "is_active": ["None", "True"]}


object_pk: 22
object_repr: HP Spectre x360-LPT0022
timestamp: 2025-07-11 10:59:16.683599
remote_addr: 127.0.0.1
changes:
  {"id": ["None", "22"], "asset_report": ["None", "asset.AssetReport.None"], "asset_name": ["None", "HP Spectre x360"], "asset_description": ["None", "None"], "asset_tracking_id": ["None", "LPT0022"], "asset_purchase_date": ["None", "2022-07-07"], "asset_purchase_cost": ["None", "15019.00"], "asset_category_id": ["None", "1"], "asset_status": ["None", "Not-Available"], "asset_lot_number_id": ["None", "1"], "expiry_date": ["None", "None"], "notify_before": ["None", "1"], "created_at": ["None", "2025-06-22 07:32:08.524000"], "created_by": ["None", "1"], "modified_by": ["None", "1"], "is_active": ["None", "True"]}


object_pk: 23
object_repr: Lenovo ThinkPad X1 Carbon-LPT0023
timestamp: 2025-07-11 10:59:16.684531
remote_addr: 127.0.0.1
changes:
  {"id": ["None", "23"], "asset_report": ["None", "asset.AssetReport.None"], "asset_name": ["None", "Lenovo ThinkPad X1 Carbon"], "asset_description": ["None", "None"], "asset_tracking_id": ["None", "LPT0023"], "asset_purchase_date": ["None", "2022-07-07"], "asset_purchase_cost": ["None", "15020.00"], "asset_category_id": ["None", "1"], "asset_status": ["None", "Available"], "asset_lot_number_id": ["None", "2"], "expiry_date": ["None", "None"], "notify_before": ["None", "1"], "created_at": ["None", "2025-06-22 07:32:08.558000"], "created_by": ["None", "1"], "modified_by": ["None", "1"], "is_active": ["None", "True"]}


object_pk: 24
object_repr: Asus ROG Zephyrus G14-LPT0024
timestamp: 2025-07-11 10:59:16.685459
remote_addr: 127.0.0.1
changes:
  {"id": ["None", "24"], "asset_report": ["None", "asset.AssetReport.None"], "asset_name": ["None", "Asus ROG Zephyrus G14"], "asset_description": ["None", "None"], "asset_tracking_id": ["None", "LPT0024"], "asset_purchase_date": ["None", "2022-07-07"], "asset_purchase_cost": ["None", "15021.00"], "asset_category_id": ["None", "1"], "asset_status": ["None", "Available"], "asset_lot_number_id": ["None", "2"], "expiry_date": ["None", "None"], "notify_before": ["None", "1"], "created_at": ["None", "2025-06-22 07:32:08.581000"], "created_by": ["None", "1"], "modified_by": ["None", "1"], "is_active": ["None", "True"]}


object_pk: 25
object_repr: Acer Swift 5-LPT0025
timestamp: 2025-07-11 10:59:16.686391
remote_addr: 127.0.0.1
changes:
  {"id": ["None", "25"], "asset_report": ["None", "asset.AssetReport.None"], "asset_name": ["None", "Acer Swift 5"], "asset_description": ["None", "None"], "asset_tracking_id": ["None", "LPT0025"], "asset_purchase_date": ["None", "2022-07-31"], "asset_purchase_cost": ["None", "18500.00"], "asset_category_id": ["None", "1"], "asset_status": ["None", "Available"], "asset_lot_number_id": ["None", "2"], "expiry_date": ["None", "None"], "notify_before": ["None", "1"], "created_at": ["None", "2025-06-22 07:32:08.607000"], "created_by": ["None", "1"], "modified_by": ["None", "1"], "is_active": ["None", "True"]}


object_pk: 26
object_repr: Apple MacBook Air M1-LPT0026
timestamp: 2025-07-11 10:59:16.687419
remote_addr: 127.0.0.1
changes:
  {"id": ["None", "26"], "asset_report": ["None", "asset.AssetReport.None"], "asset_name": ["None", "Apple MacBook Air M1"], "asset_description": ["None", "None"], "asset_tracking_id": ["None", "LPT0026"], "asset_purchase_date": ["None", "2022-08-01"], "asset_purchase_cost": ["None", "18501.00"], "asset_category_id": ["None", "1"], "asset_status": ["None", "Available"], "asset_lot_number_id": ["None", "2"], "expiry_date": ["None", "None"], "notify_before": ["None", "1"], "created_at": ["None", "2025-06-22 07:32:08.637000"], "created_by": ["None", "1"], "modified_by": ["None", "1"], "is_active": ["None", "True"]}


object_pk: 27
object_repr: MSI GS65 Stealth Thin-LPT0027
timestamp: 2025-07-11 10:59:16.688901
remote_addr: 127.0.0.1
changes:
  {"id": ["None", "27"], "asset_report": ["None", "asset.AssetReport.None"], "asset_name": ["None", "MSI GS65 Stealth Thin"], "asset_description": ["None", "None"], "asset_tracking_id": ["None", "LPT0027"], "asset_purchase_date": ["None", "2022-08-02"], "asset_purchase_cost": ["None", "18502.00"], "asset_category_id": ["None", "1"], "asset_status": ["None", "Available"], "asset_lot_number_id": ["None", "2"], "expiry_date": ["None", "None"], "notify_before": ["None", "1"], "created_at": ["None", "2025-06-22 07:32:08.668000"], "created_by": ["None", "1"], "modified_by": ["None", "1"], "is_active": ["None", "True"]}


object_pk: 28
object_repr: Razer Blade Pro 17-LPT0028
timestamp: 2025-07-11 10:59:16.690374
remote_addr: 127.0.0.1
changes:
  {"id": ["None", "28"], "asset_report": ["None", "asset.AssetReport.None"], "asset_name": ["None", "Razer Blade Pro 17"], "asset_description": ["None", "None"], "asset_tracking_id": ["None", "LPT0028"], "asset_purchase_date": ["None", "2022-08-02"], "asset_purchase_cost": ["None", "18503.00"], "asset_category_id": ["None", "1"], "asset_status": ["None", "Available"], "asset_lot_number_id": ["None", "2"], "expiry_date": ["None", "None"], "notify_before": ["None", "1"], "created_at": ["None", "2025-06-22 07:32:08.691000"], "created_by": ["None", "1"], "modified_by": ["None", "1"], "is_active": ["None", "True"]}


object_pk: 29
object_repr: LG Gram 17-LPT0029
timestamp: 2025-07-11 10:59:16.691461
remote_addr: 127.0.0.1
changes:
  {"id": ["None", "29"], "asset_report": ["None", "asset.AssetReport.None"], "asset_name": ["None", "LG Gram 17"], "asset_description": ["None", "None"], "asset_tracking_id": ["None", "LPT0029"], "asset_purchase_date": ["None", "2022-08-02"], "asset_purchase_cost": ["None", "18504.00"], "asset_category_id": ["None", "1"], "asset_status": ["None", "Available"], "asset_lot_number_id": ["None", "2"], "expiry_date": ["None", "None"], "notify_before": ["None", "1"], "created_at": ["None", "2025-06-22 07:32:08.715000"], "created_by": ["None", "1"], "modified_by": ["None", "1"], "is_active": ["None", "True"]}


object_pk: 30
object_repr: Samsung Galaxy Book Flex2.-LPT0030
timestamp: 2025-07-11 10:59:16.692472
remote_addr: 127.0.0.1
changes:
  {"id": ["None", "30"], "asset_report": ["None", "asset.AssetReport.None"], "asset_name": ["None", "Samsung Galaxy Book Flex2."], "asset_description": ["None", "None"], "asset_tracking_id": ["None", "LPT0030"], "asset_purchase_date": ["None", "2022-08-02"], "asset_purchase_cost": ["None", "18505.00"], "asset_category_id": ["None", "1"], "asset_status": ["None", "Not-Available"], "asset_lot_number_id": ["None", "2"], "expiry_date": ["None", "None"], "notify_before": ["None", "1"], "created_at": ["None", "2025-06-22 07:32:08.737000"], "created_by": ["None", "1"], "modified_by": ["None", "1"], "is_active": ["None", "True"]}


object_pk: 31
object_repr: Huawei MateBook X Pro-LPT0031
timestamp: 2025-07-11 10:59:16.693421
remote_addr: 127.0.0.1
changes:
  {"id": ["None", "31"], "asset_report": ["None", "asset.AssetReport.None"], "asset_name": ["None", "Huawei MateBook X Pro"], "asset_description": ["None", "None"], "asset_tracking_id": ["None", "LPT0031"], "asset_purchase_date": ["None", "2022-08-02"], "asset_purchase_cost": ["None", "18506.00"], "asset_category_id": ["None", "1"], "asset_status": ["None", "Available"], "asset_lot_number_id": ["None", "2"], "expiry_date": ["None", "None"], "notify_before": ["None", "1"], "created_at": ["None", "2025-06-22 07:32:08.758000"], "created_by": ["None", "1"], "modified_by": ["None", "1"], "is_active": ["None", "True"]}


object_pk: 32
object_repr: Toshiba Portege X30T-LPT0032
timestamp: 2025-07-11 10:59:16.694571
remote_addr: 127.0.0.1
changes:
  {"id": ["None", "32"], "asset_report": ["None", "asset.AssetReport.None"], "asset_name": ["None", "Toshiba Portege X30T"], "asset_description": ["None", "None"], "asset_tracking_id": ["None", "LPT0032"], "asset_purchase_date": ["None", "2022-08-02"], "asset_purchase_cost": ["None", "18507.00"], "asset_category_id": ["None", "1"], "asset_status": ["None", "Available"], "asset_lot_number_id": ["None", "2"], "expiry_date": ["None", "None"], "notify_before": ["None", "1"], "created_at": ["None", "2025-06-22 07:32:08.781000"], "created_by": ["None", "1"], "modified_by": ["None", "1"], "is_active": ["None", "True"]}


object_pk: 33
object_repr: Sony Vaio S13-LPT0033
timestamp: 2025-07-11 10:59:16.695618
remote_addr: 127.0.0.1
changes:
  {"id": ["None", "33"], "asset_report": ["None", "asset.AssetReport.None"], "asset_name": ["None", "Sony Vaio S13"], "asset_description": ["None", "None"], "asset_tracking_id": ["None", "LPT0033"], "asset_purchase_date": ["None", "2022-08-02"], "asset_purchase_cost": ["None", "18508.00"], "asset_category_id": ["None", "1"], "asset_status": ["None", "Available"], "asset_lot_number_id": ["None", "2"], "expiry_date": ["None", "None"], "notify_before": ["None", "1"], "created_at": ["None", "2025-06-22 07:32:08.801000"], "created_by": ["None", "1"], "modified_by": ["None", "1"], "is_active": ["None", "True"]}


object_pk: 34
object_repr: Fujitsu Lifebook U9311-LPT0034
timestamp: 2025-07-11 10:59:16.696755
remote_addr: 127.0.0.1
changes:
  {"id": ["None", "34"], "asset_report": ["None", "asset.AssetReport.None"], "asset_name": ["None", "Fujitsu Lifebook U9311"], "asset_description": ["None", "None"], "asset_tracking_id": ["None", "LPT0034"], "asset_purchase_date": ["None", "2022-08-02"], "asset_purchase_cost": ["None", "18509.00"], "asset_category_id": ["None", "1"], "asset_status": ["None", "Available"], "asset_lot_number_id": ["None", "2"], "expiry_date": ["None", "None"], "notify_before": ["None", "1"], "created_at": ["None", "2025-06-22 07:32:08.822000"], "created_by": ["None", "1"], "modified_by": ["None", "1"], "is_active": ["None", "True"]}


object_pk: 35
object_repr: Alienware m15 R4-LPT0035
timestamp: 2025-07-11 10:59:16.697861
remote_addr: 127.0.0.1
changes:
  {"id": ["None", "35"], "asset_report": ["None", "asset.AssetReport.None"], "asset_name": ["None", "Alienware m15 R4"], "asset_description": ["None", "None"], "asset_tracking_id": ["None", "LPT0035"], "asset_purchase_date": ["None", "2022-08-02"], "asset_purchase_cost": ["None", "18510.00"], "asset_category_id": ["None", "1"], "asset_status": ["None", "Available"], "asset_lot_number_id": ["None", "2"], "expiry_date": ["None", "None"], "notify_before": ["None", "1"], "created_at": ["None", "2025-06-22 07:32:08.841000"], "created_by": ["None", "1"], "modified_by": ["None", "1"], "is_active": ["None", "True"]}


object_pk: 36
object_repr: Gigabyte AERO 15 OLED-LPT0036
timestamp: 2025-07-11 10:59:16.698859
remote_addr: 127.0.0.1
changes:
  {"id": ["None", "36"], "asset_report": ["None", "asset.AssetReport.None"], "asset_name": ["None", "Gigabyte AERO 15 OLED"], "asset_description": ["None", "None"], "asset_tracking_id": ["None", "LPT0036"], "asset_purchase_date": ["None", "2022-08-02"], "asset_purchase_cost": ["None", "18511.00"], "asset_category_id": ["None", "1"], "asset_status": ["None", "Available"], "asset_lot_number_id": ["None", "2"], "expiry_date": ["None", "None"], "notify_before": ["None", "1"], "created_at": ["None", "2025-06-22 07:32:08.860000"], "created_by": ["None", "1"], "modified_by": ["None", "1"], "is_active": ["None", "True"]}


object_pk: 37
object_repr: Panasonic Toughbook 55-LPT0037
timestamp: 2025-07-11 10:59:16.699790
remote_addr: 127.0.0.1
changes:
  {"id": ["None", "37"], "asset_report": ["None", "asset.AssetReport.None"], "asset_name": ["None", "Panasonic Toughbook 55"], "asset_description": ["None", "None"], "asset_tracking_id": ["None", "LPT0037"], "asset_purchase_date": ["None", "2022-08-02"], "asset_purchase_cost": ["None", "18512.00"], "asset_category_id": ["None", "1"], "asset_status": ["None", "Available"], "asset_lot_number_id": ["None", "2"], "expiry_date": ["None", "None"], "notify_before": ["None", "1"], "created_at": ["None", "2025-06-22 07:32:08.881000"], "created_by": ["None", "1"], "modified_by": ["None", "1"], "is_active": ["None", "True"]}


object_pk: 38
object_repr: Microsoft Surface Laptop 4-LPT0038
timestamp: 2025-07-11 10:59:16.700724
remote_addr: 127.0.0.1
changes:
  {"id": ["None", "38"], "asset_report": ["None", "asset.AssetReport.None"], "asset_name": ["None", "Microsoft Surface Laptop 4"], "asset_description": ["None", "None"], "asset_tracking_id": ["None", "LPT0038"], "asset_purchase_date": ["None", "2022-08-02"], "asset_purchase_cost": ["None", "18513.00"], "asset_category_id": ["None", "1"], "asset_status": ["None", "Not-Available"], "asset_lot_number_id": ["None", "2"], "expiry_date": ["None", "None"], "notify_before": ["None", "1"], "created_at": ["None", "2025-06-22 07:32:08.914000"], "created_by": ["None", "1"], "modified_by": ["None", "1"], "is_active": ["None", "True"]}


object_pk: 39
object_repr: Google Pixelbook Go-LPT0039
timestamp: 2025-07-11 10:59:16.701656
remote_addr: 127.0.0.1
changes:
  {"id": ["None", "39"], "asset_report": ["None", "asset.AssetReport.None"], "asset_name": ["None", "Google Pixelbook Go"], "asset_description": ["None", "None"], "asset_tracking_id": ["None", "LPT0039"], "asset_purchase_date": ["None", "2022-08-02"], "asset_purchase_cost": ["None", "18514.00"], "asset_category_id": ["None", "1"], "asset_status": ["None", "Available"], "asset_lot_number_id": ["None", "2"], "expiry_date": ["None", "None"], "notify_before": ["None", "1"], "created_at": ["None", "2025-06-22 07:32:08.944000"], "created_by": ["None", "1"], "modified_by": ["None", "1"], "is_active": ["None", "True"]}


object_pk: 40
object_repr: Gateway Creator Series 15.6-inch.-LPT0040
timestamp: 2025-07-11 10:59:16.702592
remote_addr: 127.0.0.1
changes:
  {"id": ["None", "40"], "asset_report": ["None", "asset.AssetReport.None"], "asset_name": ["None", "Gateway Creator Series 15.6-inch."], "asset_description": ["None", "None"], "asset_tracking_id": ["None", "LPT0040"], "asset_purchase_date": ["None", "2022-08-02"], "asset_purchase_cost": ["None", "18515.00"], "asset_category_id": ["None", "1"], "asset_status": ["None", "Available"], "asset_lot_number_id": ["None", "2"], "expiry_date": ["None", "None"], "notify_before": ["None", "1"], "created_at": ["None", "2025-06-22 07:32:09.062000"], "created_by": ["None", "1"], "modified_by": ["None", "1"], "is_active": ["None", "True"]}


object_pk: 41
object_repr: Bose-HPT0001
timestamp: 2025-07-11 10:59:16.703528
remote_addr: 127.0.0.1
changes:
  {"id": ["None", "41"], "asset_report": ["None", "asset.AssetReport.None"], "asset_name": ["None", "Bose"], "asset_description": ["None", "None"], "asset_tracking_id": ["None", "HPT0001"], "asset_purchase_date": ["None", "2022-08-02"], "asset_purchase_cost": ["None", "1299.00"], "asset_category_id": ["None", "2"], "asset_status": ["None", "Available"], "asset_lot_number_id": ["None", "3"], "expiry_date": ["None", "None"], "notify_before": ["None", "1"], "created_at": ["None", "2025-06-22 07:32:09.135000"], "created_by": ["None", "1"], "modified_by": ["None", "1"], "is_active": ["None", "True"]}


object_pk: 42
object_repr: Sennheiser-HPT0002
timestamp: 2025-07-11 10:59:16.704471
remote_addr: 127.0.0.1
changes:
  {"id": ["None", "42"], "asset_report": ["None", "asset.AssetReport.None"], "asset_name": ["None", "Sennheiser"], "asset_description": ["None", "None"], "asset_tracking_id": ["None", "HPT0002"], "asset_purchase_date": ["None", "2022-08-02"], "asset_purchase_cost": ["None", "1299.00"], "asset_category_id": ["None", "2"], "asset_status": ["None", "Available"], "asset_lot_number_id": ["None", "3"], "expiry_date": ["None", "None"], "notify_before": ["None", "1"], "created_at": ["None", "2025-06-22 07:32:09.170000"], "created_by": ["None", "1"], "modified_by": ["None", "1"], "is_active": ["None", "True"]}


object_pk: 43
object_repr: Sony-HPT0003
timestamp: 2025-07-11 10:59:16.705443
remote_addr: 127.0.0.1
changes:
  {"id": ["None", "43"], "asset_report": ["None", "asset.AssetReport.None"], "asset_name": ["None", "Sony"], "asset_description": ["None", "None"], "asset_tracking_id": ["None", "HPT0003"], "asset_purchase_date": ["None", "2022-08-02"], "asset_purchase_cost": ["None", "1299.00"], "asset_category_id": ["None", "2"], "asset_status": ["None", "Not-Available"], "asset_lot_number_id": ["None", "3"], "expiry_date": ["None", "None"], "notify_before": ["None", "1"], "created_at": ["None", "2025-06-22 07:32:09.190000"], "created_by": ["None", "1"], "modified_by": ["None", "1"], "is_active": ["None", "True"]}


object_pk: 44
object_repr: Audio-Technica-HPT0004
timestamp: 2025-07-11 10:59:16.706431
remote_addr: 127.0.0.1
changes:
  {"id": ["None", "44"], "asset_report": ["None", "asset.AssetReport.None"], "asset_name": ["None", "Audio-Technica"], "asset_description": ["None", "None"], "asset_tracking_id": ["None", "HPT0004"], "asset_purchase_date": ["None", "2022-08-02"], "asset_purchase_cost": ["None", "1299.00"], "asset_category_id": ["None", "2"], "asset_status": ["None", "Available"], "asset_lot_number_id": ["None", "3"], "expiry_date": ["None", "None"], "notify_before": ["None", "1"], "created_at": ["None", "2025-06-22 07:32:09.253000"], "created_by": ["None", "1"], "modified_by": ["None", "1"], "is_active": ["None", "True"]}


object_pk: 45
object_repr: Beats by Dr. Dre-HPT0005
timestamp: 2025-07-11 10:59:16.707366
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object_pk: 2
object_repr: Social Media Influencer
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object_pk: 1
object_repr: Noah Anderson
timestamp: 2025-07-11 10:59:17.015567
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object_pk: 1
object_repr: Adam Luis (PEP00) - Lucas Rogers rating 3
timestamp: 2025-07-11 10:59:17.018512
remote_addr: 127.0.0.1
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object_pk: 1
object_repr: Amelia Hayes -Interview.
timestamp: 2025-07-11 10:59:17.020881
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object_pk: 1
object_repr: Python Question Template
timestamp: 2025-07-11 10:59:17.027374
remote_addr: 127.0.0.1
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object_pk: 2
object_repr: Odoo Developer Template
timestamp: 2025-07-11 10:59:17.028268
remote_addr: 127.0.0.1
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object_pk: 3
object_repr: Django Developer Template
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remote_addr: 127.0.0.1
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object_pk: 1
object_repr: What is Python, and what are its key features?
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remote_addr: 127.0.0.1
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object_pk: 2
object_repr: What is the difference between a list and a tuple?
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remote_addr: 127.0.0.1
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object_pk: 3
object_repr: Have you worked with Odoo's ORM before ?
timestamp: 2025-07-11 10:59:17.049988
remote_addr: 127.0.0.1
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object_pk: 4
object_repr: Which Odoo module have you worked on the most?
timestamp: 2025-07-11 10:59:17.058370
remote_addr: 127.0.0.1
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object_pk: 5
object_repr: Which of the following are key features of OdooÆs ORM?
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remote_addr: 127.0.0.1
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  {"is_active": ["None", "True"], "id": ["None", "5"], "is_mandatory": ["None", "True"], "question": ["None", "Which of the following are key features of Odoo\u00c6s ORM?"], "sequence": ["None", "0"], "type": ["None", "multiple"], "options": ["None", "Data modeling, SQL query generation, Form building, Workflow automation"], "created_at": ["None", "2025-06-15 04:10:25.767000"], "created_by": ["None", "1"], "modified_by": ["None", "1"]}


object_pk: 6
object_repr: Explain how you would customize an Odoo report for a client.
timestamp: 2025-07-11 10:59:17.075103
remote_addr: 127.0.0.1
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object_pk: 7
object_repr: How many years of experience do you have working with Odoo?
timestamp: 2025-07-11 10:59:17.083372
remote_addr: 127.0.0.1
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  {"is_active": ["None", "True"], "id": ["None", "7"], "is_mandatory": ["None", "False"], "question": ["None", "How many years of experience do you have working with Odoo?"], "sequence": ["None", "0"], "type": ["None", "number"], "options": ["None", ""], "created_at": ["None", "2025-06-15 04:11:01.784000"], "created_by": ["None", "1"], "modified_by": ["None", "1"]}


object_pk: 8
object_repr: Estimate your proficiency with Python in relation to Odoo development (0-100%).
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remote_addr: 127.0.0.1
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  {"is_active": ["None", "True"], "id": ["None", "8"], "is_mandatory": ["None", "False"], "question": ["None", "Estimate your proficiency with Python in relation to Odoo development (0-100%)."], "sequence": ["None", "0"], "type": ["None", "percentage"], "options": ["None", ""], "created_at": ["None", "2025-06-15 04:11:20.757000"], "created_by": ["None", "1"], "modified_by": ["None", "1"]}


object_pk: 9
object_repr: Rate your experience in using Odoo Studio on a scale of 1 to 5.
timestamp: 2025-07-11 10:59:17.099032
remote_addr: 127.0.0.1
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  {"is_active": ["None", "True"], "id": ["None", "9"], "is_mandatory": ["None", "True"], "question": ["None", "Rate your experience in using Odoo Studio on a scale of 1 to 5."], "sequence": ["None", "0"], "type": ["None", "rating"], "options": ["None", ""], "created_at": ["None", "2025-06-15 04:11:41.456000"], "created_by": ["None", "1"], "modified_by": ["None", "1"]}


object_pk: 10
object_repr: Have you implemented class-based views (CBVs) in Django?
timestamp: 2025-07-11 10:59:17.106574
remote_addr: 127.0.0.1
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object_pk: 11
object_repr: Which ORM-related tasks have you most frequently used in Django?
timestamp: 2025-07-11 10:59:17.115625
remote_addr: 127.0.0.1
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object_pk: 12
object_repr: Which of the following are key components of Django's architecture ?
timestamp: 2025-07-11 10:59:17.124008
remote_addr: 127.0.0.1
changes:
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object_pk: 13
object_repr: How do you handle user authentication in a Django project?
timestamp: 2025-07-11 10:59:17.131867
remote_addr: 127.0.0.1
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object_pk: 4
object_repr: Introduction & Orientation
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object_pk: 5
object_repr: Technical Setup
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object_pk: 6
object_repr: Training & Knowledge Transfer
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remote_addr: 127.0.0.1
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object_pk: 7
object_repr: First Task Assignment
timestamp: 2025-07-11 10:59:17.181139
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object_pk: 1
object_repr: Notice Period
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remote_addr: 127.0.0.1
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object_pk: 1
object_repr: Offboarding 2024
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object_pk: 13
object_repr: Notice Period
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object_pk: 14
object_repr: Exit interview
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object_pk: 15
object_repr: Work Handover
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object_pk: 16
object_repr: FNF
timestamp: 2025-07-11 10:59:17.216895
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object_pk: 17
object_repr: Farewell
timestamp: 2025-07-11 10:59:17.220552
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object_pk: 18
object_repr: Archived
timestamp: 2025-07-11 10:59:17.223095
remote_addr: 127.0.0.1
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object_pk: 1
object_repr: ResignationLetter object (1)
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remote_addr: 127.0.0.1
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object_pk: 2
object_repr: ResignationLetter object (2)
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object_pk: 1
object_repr: OffboardingGeneralSetting object (1)
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remote_addr: 127.0.0.1
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object_pk: 1
object_repr: First Half 2024
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object_pk: 2
object_repr: Second Half 2024
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object_pk: 1
object_repr: Social Media Influvencer as of 2025-06-09 03:56:31.268000+00:00
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object_pk: 2
object_repr: Social Media Influvencer as of 2025-06-09 04:06:25.161000+00:00
timestamp: 2025-07-11 10:59:17.264180
remote_addr: 127.0.0.1
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object_pk: 3
object_repr: Social Media Influvencer as of 2025-06-09 04:07:56.768000+00:00
timestamp: 2025-07-11 10:59:17.266741
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object_pk: 10
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object_pk: 11
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object_pk: 12
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object_pk: 13
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object_pk: 14
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object_pk: 15
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object_pk: 16
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object_pk: 17
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object_pk: 18
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object_pk: 19
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object_pk: 20
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object_pk: 21
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object_pk: 22
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object_pk: 23
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object_pk: 27
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object_pk: 31
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object_pk: 33
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object_pk: 34
object_repr: Social Media Influvencer as of 2025-06-09 11:22:40.444000+00:00
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object_pk: 35
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object_pk: 36
object_repr: Social Media Influvencer as of 2025-06-10 03:06:17.492000+00:00
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object_pk: 37
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object_repr: Social Media Influvencer as of 2025-06-10 03:22:31.426000+00:00
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object_pk: 2
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object_pk: 1
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object_pk: 1
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object_pk: 2
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object_pk: 3
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object_pk: 1
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object_pk: 4
object_repr: Social Media Influvencer | Alexander Smith (PEP16)
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object_pk: 5
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object_pk: 7
object_repr: Social Media Influvencer | Andrew Hayes (PEP74)
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object_pk: 9
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remote_addr: 127.0.0.1
changes:
  {"is_active": ["None", "True"], "feedback_question_template": ["None", "pms.Feedback.None"], "question_template": ["None", "Developer Question"], "question": ["None", "pms.Question.None"], "id": ["None", "1"], "created_at": ["None", "2025-06-10 03:12:56.357000"], "created_by": ["None", "1"], "modified_by": ["None", "1"]}


object_pk: 1
object_repr: Can you share an example of a time employee positively impacted the team or a project?
timestamp: 2025-07-11 10:59:17.448475
remote_addr: 127.0.0.1
changes:
  {"is_active": ["None", "True"], "question_options": ["None", "pms.QuestionOptions.None"], "question": ["None", "Can you share an example of a time employee positively impacted the team or a project?"], "question_type": ["None", "1"], "template_id": ["None", "1"], "id": ["None", "1"], "meeting_answer_question_id": ["None", "pms.MeetingsAnswer.None"], "answer_question_id": ["None", "pms.Answer.None"], "created_at": ["None", "2025-06-10 03:14:44.788000"], "created_by": ["None", "1"], "modified_by": ["None", "1"]}


object_pk: 2
object_repr: How would you describe your working relationship with this employee
timestamp: 2025-07-11 10:59:17.449769
remote_addr: 127.0.0.1
changes:
  {"is_active": ["None", "True"], "question_options": ["None", "pms.QuestionOptions.None"], "question": ["None", "How would you describe your working relationship with this employee"], "question_type": ["None", "2"], "template_id": ["None", "1"], "id": ["None", "2"], "meeting_answer_question_id": ["None", "pms.MeetingsAnswer.None"], "answer_question_id": ["None", "pms.Answer.None"], "created_at": ["None", "2025-06-10 03:15:07.690000"], "created_by": ["None", "1"], "modified_by": ["None", "1"]}


object_pk: 3
object_repr: What skills or behaviors do you think employee could improve to be even more effective?
timestamp: 2025-07-11 10:59:17.450972
remote_addr: 127.0.0.1
changes:
  {"is_active": ["None", "True"], "question_options": ["None", "pms.QuestionOptions.None"], "question": ["None", "What skills or behaviors do you think employee could improve to be even more effective?"], "question_type": ["None", "4"], "template_id": ["None", "1"], "id": ["None", "3"], "meeting_answer_question_id": ["None", "pms.MeetingsAnswer.None"], "answer_question_id": ["None", "pms.Answer.None"], "created_at": ["None", "2025-06-10 03:16:18.905000"], "created_by": ["None", "1"], "modified_by": ["None", "1"]}


object_pk: 1
object_repr: QuestionOptions object (1)
timestamp: 2025-07-11 10:59:17.452786
remote_addr: 127.0.0.1
changes:
  {"is_active": ["None", "True"], "question_id": ["None", "3"], "option_a": ["None", "Coding"], "option_b": ["None", "Communication"], "option_c": ["None", "Meeting"], "id": ["None", "1"], "option_d": ["None", "Nothing"], "created_at": ["None", "2025-06-10 03:16:18.925000"], "created_by": ["None", "1"], "modified_by": ["None", "1"]}


object_pk: 1
object_repr: Isabella - Isabella Feedback
timestamp: 2025-07-11 10:59:17.456545
remote_addr: 127.0.0.1
changes:
  {"feedback_answer": ["None", "pms.Answer.None"], "id": ["None", "1"], "review_cycle": ["None", "Isabella Feedback"], "manager_id": ["None", "13"], "employee_id": ["None", "14"], "question_template_id": ["None", "1"], "status": ["None", "Not Started"], "archive": ["None", "False"], "start_date": ["None", "2025-06-01"], "end_date": ["None", "2025-06-30"], "created_at": ["None", "2025-06-10 03:17:18.931000"], "cyclic_feedback": ["None", "False"], "cyclic_feedback_days_count": ["None", "None"], "cyclic_feedback_period": ["None", "None"], "is_active": ["None", "True"], "cyclic_next_start_date": ["None", "None"], "created_by": ["None", "1"], "modified_by": ["None", "1"], "cyclic_next_end_date": ["None", "None"], "feedback_key_result": ["None", "pms.KeyResultFeedback.None"]}


object_pk: 1
object_repr: Isabella - Isabella Feedback
timestamp: 2025-07-11 10:59:17.461439
remote_addr: 127.0.0.1
changes:
  {"colleague_id": {"type": "m2m", "operation": "add", "objects": ["Charlotte White (PEP19)", "Grace Allen (PEP21)"]}}


object_pk: 1
object_repr: Horilla Technical Meeting
timestamp: 2025-07-11 10:59:17.467088
remote_addr: 127.0.0.1
changes:
  {"is_active": ["None", "True"], "question_template": ["None", "1"], "response": ["None", "None"], "show_response": ["None", "False"], "id": ["None", "1"], "title": ["None", "Horilla Technical Meeting"], "date": ["None", "2025-06-12 04:30:00"], "meeting_answer": ["None", "pms.MeetingsAnswer.None"], "created_at": ["None", "2025-06-10 03:20:51.009000"], "created_by": ["None", "1"], "modified_by": ["None", "1"]}


object_pk: 1
object_repr: Horilla Technical Meeting
timestamp: 2025-07-11 10:59:17.472474
remote_addr: 127.0.0.1
changes:
  {"employee_id": {"type": "m2m", "operation": "add", "objects": ["Abigail Roberts (PEP15)", "Adam Luis (PEP00)", "Aiden Murphy (PEP40)", "Alexander Smith (PEP16)"]}}


object_pk: 1
object_repr: Horilla Technical Meeting
timestamp: 2025-07-11 10:59:17.483373
remote_addr: 127.0.0.1
changes:
  {"answer_employees": {"type": "m2m", "operation": "add", "objects": ["Abigail Roberts (PEP15)", "Aiden Murphy (PEP40)", "Alexander Smith (PEP16)"]}}


object_pk: 1
object_repr: Single Filers
timestamp: 2025-07-11 10:59:17.504786
remote_addr: 127.0.0.1
changes:
  {"python_code": ["None", "\"\"\"\nfederal_tax.py\n\"\"\"\n\nYEARLY_TAXABLE_INCOME = 189000.52\n\n\ndef calcluate_federal_tax(yearly_income: int, **kwargs) -> float:\n    \"\"\"\n    Federal Tax calculation method\n\n    yearly_income: The early converted 'based on' amount\n\n    eg: yearly_income-> 189000 then taxable_amount-> 39312.0 (yearly)\n    \"\"\"\n\n    def filter_brackets(brackets: list) -> list:\n        \"\"\"\n        This method to filter out the actual brackets/brackets range\n        \"\"\"\n        # brackets that contains actual bracket range, calculated_rate, and diff amount\n        filterd_brackets = []\n        for bracket in brackets:\n            if bracket[\"max\"] > bracket[\"min\"]:\n\n                # bracket: {'rate': 12, 'min': 11000, 'max': 44725}\n\n                # finding diff amount and adding to the bracket\n                bracket[\"diff\"] = bracket[\"max\"] - bracket[\"min\"]\n                # find bracket rate from the difference and adding to bracket\n                bracket[\"calculated_rate\"] = (bracket[\"rate\"] / 100) * bracket[\"diff\"]\n\n                # bracket: {'rate': 12, 'min': 11000, 'max': 44725, 'diff': 33725, 'calculated_rate': 4047.0}\n\n                filterd_brackets.append(bracket)\n                continue\n            # returning valid filtered brackets\n            return filterd_brackets\n        # returning valid filtered brackets\n        return filterd_brackets\n\n    # filter_brackets method/function will sort out the brackets\n\n    # for example for the 189000 yearly income come in the 32% group,\n    # so the final the max considered as min(231250,189000) which is 189000\n    brackets = [\n        {\"rate\": 10, \"min\": 0, \"max\": min(11000, yearly_income)},\n        {\"rate\": 12, \"min\": 11000, \"max\": min(44725, yearly_income)},\n        {\"rate\": 22, \"min\": 44725, \"max\": min(95375, yearly_income)},\n        {\"rate\": 24, \"min\": 95375, \"max\": min(182100, yearly_income)},\n        {\"rate\": 32, \"min\": 182100, \"max\": min(231250, yearly_income)},\n        {\"rate\": 35, \"min\": 231250, \"max\": min(578125, yearly_income)},\n        {\"rate\": 37, \"min\": 578125, \"max\": max(578125, yearly_income)},\n    ]\n\n    # filtering the brackets to actual range\n    brackets = filter_brackets(brackets=brackets)\n\n    # finding yearly taxable amount\n    taxable_amount = sum(bracket[\"calculated_rate\"] for bracket in brackets)\n\n    \"\"\"\n    use formated_result method to print the table\n    \"\"\"\n    # formated_result(brackets=brackets, taxable_amount=taxable_amount)\n\n    # returning the taxable amount later on the yearly taxable amount-\n    # is converted to daily and calculate federal tax for the total days between the\n    # Payslip period\n    return taxable_amount\n\n\ndef formated_result(brackets: dict, taxable_amount: float) -> None:\n    \"\"\"\n    It will print the brackets such a formated way\n    \"\"\"\n    col_width = 7\n    print(\"----------------------Brackets----------------------\")\n    print(\n        f\"|{'Rate':<{col_width}}  |{'Min':<{col_width}} |{'Max':<{col_width}}  |{'Taxable':<{col_width}}  |{'Bracket Tax':<{col_width}} |\"\n    )\n\n    for bracket in brackets:\n        print(\n            f\"|{bracket['rate']:<{col_width}}% |{bracket['min']:<{col_width}} | {bracket['max']:<{col_width}} | {bracket['diff']:<{col_width}} | {round(bracket['calculated_rate'],2):<{col_width + 3}} |\"\n        )\n\n    print(f\"|             YEARLY TAXABLE INCOME    | {taxable_amount}    |\")\n    print(\"----------------------------------------------------\")\n\n\nmonth_taxable = calcluate_federal_tax(YEARLY_TAXABLE_INCOME)\nprint(\"YEARLY TAXABLE AMOUNT\", month_taxable)"], "is_active": ["None", "True"], "filing_status": ["None", "Single Filers"], "description": ["None", ""], "based_on": ["None", "taxable_gross_pay"], "id": ["None", "1"], "use_py": ["None", "False"], "contracts": ["None", "payroll.Contract.None"], "created_at": ["None", "2025-06-21 08:42:22.725000"], "created_by": ["None", "1"], "modified_by": ["None", "1"]}


object_pk: 2
object_repr: Married Filing Separately(MFS)
timestamp: 2025-07-11 10:59:17.506060
remote_addr: 127.0.0.1
changes:
  {"python_code": ["None", "\"\"\"\nfederal_tax.py\n\"\"\"\n\nYEARLY_TAXABLE_INCOME = 189000.52\n\n\ndef calcluate_federal_tax(yearly_income: int, **kwargs) -> float:\n    \"\"\"\n    Federal Tax calculation method\n\n    yearly_income: The early converted 'based on' amount\n\n    eg: yearly_income-> 189000 then taxable_amount-> 39312.0 (yearly)\n    \"\"\"\n\n    def filter_brackets(brackets: list) -> list:\n        \"\"\"\n        This method to filter out the actual brackets/brackets range\n        \"\"\"\n        # brackets that contains actual bracket range, calculated_rate, and diff amount\n        filterd_brackets = []\n        for bracket in brackets:\n            if bracket[\"max\"] > bracket[\"min\"]:\n\n                # bracket: {'rate': 12, 'min': 11000, 'max': 44725}\n\n                # finding diff amount and adding to the bracket\n                bracket[\"diff\"] = bracket[\"max\"] - bracket[\"min\"]\n                # find bracket rate from the difference and adding to bracket\n                bracket[\"calculated_rate\"] = (bracket[\"rate\"] / 100) * bracket[\"diff\"]\n\n                # bracket: {'rate': 12, 'min': 11000, 'max': 44725, 'diff': 33725, 'calculated_rate': 4047.0}\n\n                filterd_brackets.append(bracket)\n                continue\n            # returning valid filtered brackets\n            return filterd_brackets\n        # returning valid filtered brackets\n        return filterd_brackets\n\n    # filter_brackets method/function will sort out the brackets\n\n    # for example for the 189000 yearly income come in the 32% group,\n    # so the final the max considered as min(231250,189000) which is 189000\n    brackets = [\n        {\"rate\": 10, \"min\": 0, \"max\": min(11000, yearly_income)},\n        {\"rate\": 12, \"min\": 11000, \"max\": min(44725, yearly_income)},\n        {\"rate\": 22, \"min\": 44725, \"max\": min(95375, yearly_income)},\n        {\"rate\": 24, \"min\": 95375, \"max\": min(182100, yearly_income)},\n        {\"rate\": 32, \"min\": 182100, \"max\": min(231250, yearly_income)},\n        {\"rate\": 35, \"min\": 231250, \"max\": min(578125, yearly_income)},\n        {\"rate\": 37, \"min\": 578125, \"max\": max(578125, yearly_income)},\n    ]\n\n    # filtering the brackets to actual range\n    brackets = filter_brackets(brackets=brackets)\n\n    # finding yearly taxable amount\n    taxable_amount = sum(bracket[\"calculated_rate\"] for bracket in brackets)\n\n    \"\"\"\n    use formated_result method to print the table\n    \"\"\"\n    # formated_result(brackets=brackets, taxable_amount=taxable_amount)\n\n    # returning the taxable amount later on the yearly taxable amount-\n    # is converted to daily and calculate federal tax for the total days between the\n    # Payslip period\n    return taxable_amount\n\n\ndef formated_result(brackets: dict, taxable_amount: float) -> None:\n    \"\"\"\n    It will print the brackets such a formated way\n    \"\"\"\n    col_width = 7\n    print(\"----------------------Brackets----------------------\")\n    print(\n        f\"|{'Rate':<{col_width}}  |{'Min':<{col_width}} |{'Max':<{col_width}}  |{'Taxable':<{col_width}}  |{'Bracket Tax':<{col_width}} |\"\n    )\n\n    for bracket in brackets:\n        print(\n            f\"|{bracket['rate']:<{col_width}}% |{bracket['min']:<{col_width}} | {bracket['max']:<{col_width}} | {bracket['diff']:<{col_width}} | {round(bracket['calculated_rate'],2):<{col_width + 3}} |\"\n        )\n\n    print(f\"|             YEARLY TAXABLE INCOME    | {taxable_amount}    |\")\n    print(\"----------------------------------------------------\")\n\n\nmonth_taxable = calcluate_federal_tax(YEARLY_TAXABLE_INCOME)\nprint(\"YEARLY TAXABLE AMOUNT\", month_taxable)"], "is_active": ["None", "True"], "filing_status": ["None", "Married Filing Separately(MFS)"], "description": ["None", ""], "based_on": ["None", "taxable_gross_pay"], "id": ["None", "2"], "use_py": ["None", "False"], "contracts": ["None", "payroll.Contract.None"], "created_at": ["None", "2025-06-21 08:42:28.019000"], "created_by": ["None", "1"], "modified_by": ["None", "1"]}


object_pk: 3
object_repr: Married Filing Jointly (MFJ)
timestamp: 2025-07-11 10:59:17.507093
remote_addr: 127.0.0.1
changes:
  {"python_code": ["None", "\"\"\"\nfederal_tax.py\n\"\"\"\n\nYEARLY_TAXABLE_INCOME = 189000.52\n\n\ndef calcluate_federal_tax(yearly_income: int, **kwargs) -> float:\n    \"\"\"\n    Federal Tax calculation method\n\n    yearly_income: The early converted 'based on' amount\n\n    eg: yearly_income-> 189000 then taxable_amount-> 39312.0 (yearly)\n    \"\"\"\n\n    def filter_brackets(brackets: list) -> list:\n        \"\"\"\n        This method to filter out the actual brackets/brackets range\n        \"\"\"\n        # brackets that contains actual bracket range, calculated_rate, and diff amount\n        filterd_brackets = []\n        for bracket in brackets:\n            if bracket[\"max\"] > bracket[\"min\"]:\n\n                # bracket: {'rate': 12, 'min': 11000, 'max': 44725}\n\n                # finding diff amount and adding to the bracket\n                bracket[\"diff\"] = bracket[\"max\"] - bracket[\"min\"]\n                # find bracket rate from the difference and adding to bracket\n                bracket[\"calculated_rate\"] = (bracket[\"rate\"] / 100) * bracket[\"diff\"]\n\n                # bracket: {'rate': 12, 'min': 11000, 'max': 44725, 'diff': 33725, 'calculated_rate': 4047.0}\n\n                filterd_brackets.append(bracket)\n                continue\n            # returning valid filtered brackets\n            return filterd_brackets\n        # returning valid filtered brackets\n        return filterd_brackets\n\n    # filter_brackets method/function will sort out the brackets\n\n    # for example for the 189000 yearly income come in the 32% group,\n    # so the final the max considered as min(231250,189000) which is 189000\n    brackets = [\n        {\"rate\": 10, \"min\": 0, \"max\": min(11000, yearly_income)},\n        {\"rate\": 12, \"min\": 11000, \"max\": min(44725, yearly_income)},\n        {\"rate\": 22, \"min\": 44725, \"max\": min(95375, yearly_income)},\n        {\"rate\": 24, \"min\": 95375, \"max\": min(182100, yearly_income)},\n        {\"rate\": 32, \"min\": 182100, \"max\": min(231250, yearly_income)},\n        {\"rate\": 35, \"min\": 231250, \"max\": min(578125, yearly_income)},\n        {\"rate\": 37, \"min\": 578125, \"max\": max(578125, yearly_income)},\n    ]\n\n    # filtering the brackets to actual range\n    brackets = filter_brackets(brackets=brackets)\n\n    # finding yearly taxable amount\n    taxable_amount = sum(bracket[\"calculated_rate\"] for bracket in brackets)\n\n    \"\"\"\n    use formated_result method to print the table\n    \"\"\"\n    # formated_result(brackets=brackets, taxable_amount=taxable_amount)\n\n    # returning the taxable amount later on the yearly taxable amount-\n    # is converted to daily and calculate federal tax for the total days between the\n    # Payslip period\n    return taxable_amount\n\n\ndef formated_result(brackets: dict, taxable_amount: float) -> None:\n    \"\"\"\n    It will print the brackets such a formated way\n    \"\"\"\n    col_width = 7\n    print(\"----------------------Brackets----------------------\")\n    print(\n        f\"|{'Rate':<{col_width}}  |{'Min':<{col_width}} |{'Max':<{col_width}}  |{'Taxable':<{col_width}}  |{'Bracket Tax':<{col_width}} |\"\n    )\n\n    for bracket in brackets:\n        print(\n            f\"|{bracket['rate']:<{col_width}}% |{bracket['min']:<{col_width}} | {bracket['max']:<{col_width}} | {bracket['diff']:<{col_width}} | {round(bracket['calculated_rate'],2):<{col_width + 3}} |\"\n        )\n\n    print(f\"|             YEARLY TAXABLE INCOME    | {taxable_amount}    |\")\n    print(\"----------------------------------------------------\")\n\n\nmonth_taxable = calcluate_federal_tax(YEARLY_TAXABLE_INCOME)\nprint(\"YEARLY TAXABLE AMOUNT\", month_taxable)"], "is_active": ["None", "True"], "filing_status": ["None", "Married Filing Jointly (MFJ)"], "description": ["None", ""], "based_on": ["None", "taxable_gross_pay"], "id": ["None", "3"], "use_py": ["None", "False"], "contracts": ["None", "payroll.Contract.None"], "created_at": ["None", "2025-06-21 08:42:34.764000"], "created_by": ["None", "1"], "modified_by": ["None", "1"]}


object_pk: 4
object_repr: Head of Household (HOH)
timestamp: 2025-07-11 10:59:17.508146
remote_addr: 127.0.0.1
changes:
  {"python_code": ["None", "\"\"\"\nfederal_tax.py\n\"\"\"\n\nYEARLY_TAXABLE_INCOME = 189000.52\n\n\ndef calcluate_federal_tax(yearly_income: int, **kwargs) -> float:\n    \"\"\"\n    Federal Tax calculation method\n\n    yearly_income: The early converted 'based on' amount\n\n    eg: yearly_income-> 189000 then taxable_amount-> 39312.0 (yearly)\n    \"\"\"\n\n    def filter_brackets(brackets: list) -> list:\n        \"\"\"\n        This method to filter out the actual brackets/brackets range\n        \"\"\"\n        # brackets that contains actual bracket range, calculated_rate, and diff amount\n        filterd_brackets = []\n        for bracket in brackets:\n            if bracket[\"max\"] > bracket[\"min\"]:\n\n                # bracket: {'rate': 12, 'min': 11000, 'max': 44725}\n\n                # finding diff amount and adding to the bracket\n                bracket[\"diff\"] = bracket[\"max\"] - bracket[\"min\"]\n                # find bracket rate from the difference and adding to bracket\n                bracket[\"calculated_rate\"] = (bracket[\"rate\"] / 100) * bracket[\"diff\"]\n\n                # bracket: {'rate': 12, 'min': 11000, 'max': 44725, 'diff': 33725, 'calculated_rate': 4047.0}\n\n                filterd_brackets.append(bracket)\n                continue\n            # returning valid filtered brackets\n            return filterd_brackets\n        # returning valid filtered brackets\n        return filterd_brackets\n\n    # filter_brackets method/function will sort out the brackets\n\n    # for example for the 189000 yearly income come in the 32% group,\n    # so the final the max considered as min(231250,189000) which is 189000\n    brackets = [\n        {\"rate\": 10, \"min\": 0, \"max\": min(11000, yearly_income)},\n        {\"rate\": 12, \"min\": 11000, \"max\": min(44725, yearly_income)},\n        {\"rate\": 22, \"min\": 44725, \"max\": min(95375, yearly_income)},\n        {\"rate\": 24, \"min\": 95375, \"max\": min(182100, yearly_income)},\n        {\"rate\": 32, \"min\": 182100, \"max\": min(231250, yearly_income)},\n        {\"rate\": 35, \"min\": 231250, \"max\": min(578125, yearly_income)},\n        {\"rate\": 37, \"min\": 578125, \"max\": max(578125, yearly_income)},\n    ]\n\n    # filtering the brackets to actual range\n    brackets = filter_brackets(brackets=brackets)\n\n    # finding yearly taxable amount\n    taxable_amount = sum(bracket[\"calculated_rate\"] for bracket in brackets)\n\n    \"\"\"\n    use formated_result method to print the table\n    \"\"\"\n    # formated_result(brackets=brackets, taxable_amount=taxable_amount)\n\n    # returning the taxable amount later on the yearly taxable amount-\n    # is converted to daily and calculate federal tax for the total days between the\n    # Payslip period\n    return taxable_amount\n\n\ndef formated_result(brackets: dict, taxable_amount: float) -> None:\n    \"\"\"\n    It will print the brackets such a formated way\n    \"\"\"\n    col_width = 7\n    print(\"----------------------Brackets----------------------\")\n    print(\n        f\"|{'Rate':<{col_width}}  |{'Min':<{col_width}} |{'Max':<{col_width}}  |{'Taxable':<{col_width}}  |{'Bracket Tax':<{col_width}} |\"\n    )\n\n    for bracket in brackets:\n        print(\n            f\"|{bracket['rate']:<{col_width}}% |{bracket['min']:<{col_width}} | {bracket['max']:<{col_width}} | {bracket['diff']:<{col_width}} | {round(bracket['calculated_rate'],2):<{col_width + 3}} |\"\n        )\n\n    print(f\"|             YEARLY TAXABLE INCOME    | {taxable_amount}    |\")\n    print(\"----------------------------------------------------\")\n\n\nmonth_taxable = calcluate_federal_tax(YEARLY_TAXABLE_INCOME)\nprint(\"YEARLY TAXABLE AMOUNT\", month_taxable)"], "is_active": ["None", "True"], "filing_status": ["None", "Head of Household (HOH)"], "description": ["None", ""], "based_on": ["None", "taxable_gross_pay"], "id": ["None", "4"], "use_py": ["None", "False"], "contracts": ["None", "payroll.Contract.None"], "created_at": ["None", "2025-06-21 08:42:40.096000"], "created_by": ["None", "1"], "modified_by": ["None", "1"]}


object_pk: 1
object_repr: House Rent Allowance (HRA)
timestamp: 2025-07-11 10:59:17.510414
remote_addr: 127.0.0.1
changes:
  {"title": ["None", "House Rent Allowance (HRA)"], "one_time_date": ["None", "None"], "include_active_employees": ["None", "True"], "is_taxable": ["None", "True"], "is_condition_based": ["None", "False"], "field": ["None", "None"], "condition": ["None", "None"], "value": ["None", "None"], "is_fixed": ["None", "False"], "amount": ["None", "None"], "based_on": ["None", "basic_pay"], "rate": ["None", "4.5"], "per_attendance_fixed_amount": ["None", "0.0"], "per_children_fixed_amount": ["None", "0.0"], "shift_per_attendance_amount": ["None", "0.0"], "amount_per_one_hr": ["None", "0.0"], "work_type_per_attendance_amount": ["None", "0.0"], "has_max_limit": ["None", "False"], "maximum_amount": ["None", "None"], "maximum_unit": ["None", "month_working_days"], "if_choice": ["None", "basic_pay"], "if_condition": ["None", "gt"], "if_amount": ["None", "0.0"], "start_range": ["None", "None"], "end_range": ["None", "None"], "only_show_under_employee": ["None", "False"], "is_loan": ["None", "False"], "id": ["None", "1"], "created_at": ["None", "2025-06-21 08:35:27.289000"], "created_by": ["None", "1"], "modified_by": ["None", "1"], "is_active": ["None", "True"]}


object_pk: 1
object_repr: House Rent Allowance (HRA)
timestamp: 2025-07-11 10:59:17.515479
remote_addr: 127.0.0.1
changes:
  {"specific_employees": {"type": "m2m", "operation": "add", "objects": ["Christopher Miller (PEP12)", "Daniel Foster (PEP06)", "David King (PEP10)", "Demetria Abbey (PEP123)", "Dewitt Borger (PEP110)", "Ethan Gonzalez (PEP30)", "Etta Hurn (PEP82)", "Evelyn Garcia (PEP29)", "Harper Edwards (PEP27)", "Hazel Adams (PEP57)", "Henry Lewis (PEP36)", "Holly Eudy (PEP97)"]}}


object_pk: 2
object_repr: Meal Allowance
timestamp: 2025-07-11 10:59:17.518823
remote_addr: 127.0.0.1
changes:
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object_pk: 1
object_repr: Todo
timestamp: 2025-07-11 10:59:17.858918
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object_pk: 2
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timestamp: 2025-07-11 10:59:17.859883
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object_pk: 3
object_repr: Completed
timestamp: 2025-07-11 10:59:17.860769
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timestamp: 2025-07-11 10:59:17.861666
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object_pk: 5
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object_pk: 1
object_repr: Asset Module
timestamp: 2025-07-11 10:59:17.864484
remote_addr: 127.0.0.1
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object_pk: 2
object_repr: Attendance Module
timestamp: 2025-07-11 10:59:17.871124
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object_pk: 3
object_repr: Auth Module
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remote_addr: 127.0.0.1
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object_pk: 4
object_repr: Base Module
timestamp: 2025-07-11 10:59:17.884815
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object_pk: 5
object_repr: Biometric Module
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remote_addr: 127.0.0.1
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object_pk: 6
object_repr: Employee
timestamp: 2025-07-11 10:59:17.896522
remote_addr: 127.0.0.1
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object_pk: 7
object_repr: Helpdesk Module
timestamp: 2025-07-11 10:59:17.902476
remote_addr: 127.0.0.1
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object_pk: 8
object_repr: Offboarding Module
timestamp: 2025-07-11 10:59:17.908006
remote_addr: 127.0.0.1
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object_pk: 9
object_repr: Onboarding Module
timestamp: 2025-07-11 10:59:17.917819
remote_addr: 127.0.0.1
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object_pk: 10
object_repr: Payroll Module
timestamp: 2025-07-11 10:59:17.923734
remote_addr: 127.0.0.1
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object_pk: 11
object_repr: Project Module
timestamp: 2025-07-11 10:59:17.929253
remote_addr: 127.0.0.1
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  {"stage": ["None", "1"], "is_active": ["None", "True"], "status": ["None", "to_do"], "start_date": ["None", "None"], "title": ["None", "Project Module"], "end_date": ["None", "2025-12-31"], "document": ["None", ""], "description": ["None", ""], "sequence": ["None", "3"], "project": ["None", "1"], "id": ["None", "11"], "task_timesheet": ["None", "project.TimeSheet.None"]}


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object_repr: 77c27ysvhxax22sq62l6dnl9lal0pdjn
timestamp: 2025-07-11 10:59:26.278148
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object_pk: 6
object_repr: test
timestamp: 2025-07-11 11:00:04.102537
remote_addr: 127.0.0.1
actor_email: adam.luis@horilla.com
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object_pk: 1
timestamp: 2025-07-11 11:00:04.123867
remote_addr: 127.0.0.1
actor_email: adam.luis@horilla.com
object_repr:
  Aria Powell (PEP43) You have a new reimbursement request to approve for Aria Powell (PEP43). 0 minutes ago

changes:
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object_pk: 7
object_repr: test
timestamp: 2025-07-11 11:00:37.971009
remote_addr: 127.0.0.1
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object_pk: 7
object_repr: test
timestamp: 2025-07-11 11:00:37.987055
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object_pk: 2
timestamp: 2025-07-11 11:00:38.004273
remote_addr: 127.0.0.1
actor_email: adam.luis@horilla.com
object_repr:
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object_pk: 1
object_repr: Angel - 1000
timestamp: 2025-07-11 11:03:06.444324
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object_pk: 127
object_repr: Angel Sanor (PEP118) - 1000 Points as of 2025-07-11 11:03:06.479719+00:00
timestamp: 2025-07-11 11:03:06.489388
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object_pk: 8
object_repr: test
timestamp: 2025-07-11 11:03:32.696199
remote_addr: 127.0.0.1
actor_email: adam.luis@horilla.com
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object_pk: 3
timestamp: 2025-07-11 11:03:32.716946
remote_addr: 127.0.0.1
actor_email: adam.luis@horilla.com
object_repr:
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object_pk: 9
object_repr: reimb
timestamp: 2025-07-11 11:06:12.754394
remote_addr: 127.0.0.1
actor_email: adam.luis@horilla.com
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object_pk: 9
object_repr: reimb
timestamp: 2025-07-11 11:06:12.774776
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object_pk: 4
timestamp: 2025-07-11 11:06:12.796213
remote_addr: 127.0.0.1
actor_email: adam.luis@horilla.com
object_repr:
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object_pk: 10
object_repr: leave en
timestamp: 2025-07-11 11:06:56.371108
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object_pk: 5
timestamp: 2025-07-11 11:06:56.390225
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actor_email: adam.luis@horilla.com
object_repr:
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object_pk: 11
object_repr: test
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object_pk: 6
timestamp: 2025-07-11 11:08:24.778757
remote_addr: 127.0.0.1
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object_pk: 128
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object_pk: 127
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object_pk: 127
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actor_email: adam.luis@horilla.com
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  {"icon": ["None", "leave/leave_icon/Screenshot_from_2025-07-01_15-30-46.png"], "name": ["None", "Redden Casual Leave"], "color": ["None", "#000000"], "payment": ["None", "paid"], "count": ["None", "11.0"], "period_in": ["None", "day"], "limit_leave": ["None", "True"], "total_days": ["None", "11.0"], "reset": ["None", "False"], "is_encashable": ["None", "True"], "reset_based": ["None", "None"], "reset_month": ["None", ""], "reset_day": ["None", "None"], "reset_weekend": ["None", "None"], "carryforward_type": ["None", "no carryforward"], "carryforward_max": ["None", "None"], "carryforward_expire_in": ["None", "None"], "carryforward_expire_period": ["None", "None"], "carryforward_expire_date": ["None", "None"], "require_approval": ["None", "yes"], "require_attachment": ["None", "no"], "exclude_company_leave": ["None", "no"], "exclude_holiday": ["None", "no"], "is_compensatory_leave": ["None", "False"], "created_at": ["None", "2025-07-11 11:26:33.420953"], "created_by": ["None", "1"], "modified_by": ["None", "1"], "is_active": ["None", "True"], "employee_available_leave": ["None", "leave.AvailableLeave.None"], "id": ["None", "5"]}


object_pk: 1
object_repr: Abhirbhav Gupta (PEP0002) | Redden Casual Leave as of 2025-07-11 11:26:33.451355+00:00
timestamp: 2025-07-11 11:26:33.462034
remote_addr: 127.0.0.1
actor_email: adam.luis@horilla.com
changes:
  {"available_days": ["None", "11.0"], "carryforward_days": ["None", "0"], "total_leave_days": ["None", "11.0"], "assigned_date": ["None", "2025-07-11 11:26:33.440221+00:00"], "reset_date": ["None", "None"], "expired_date": ["None", "None"], "created_by": ["None", "1"], "modified_by": ["None", "1"], "employee_id": ["None", "127"], "leave_type_id": ["None", "5"], "history_id": ["None", "1"], "created_at": ["None", "2025-07-11 11:26:33.442153"], "history_date": ["None", "2025-07-11 11:26:33.451355"], "history_change_reason": ["None", "None"], "is_active": ["None", "True"], "history_type": ["None", "+"], "history_relation": ["None", "153"], "history_title": ["None", "None"], "history_description": ["None", "None"], "history_highlight": ["None", "False"], "history_user": ["None", "1"], "id": ["None", "153"]}


object_pk: 153
object_repr: Abhirbhav Gupta (PEP0002) | Redden Casual Leave
timestamp: 2025-07-11 11:26:33.470857
remote_addr: 127.0.0.1
actor_email: adam.luis@horilla.com
changes:
  {"history_set": ["None", "leave.HistoricalAvailableLeave.None"], "is_active": ["None", "True"], "employee_id": ["None", "127"], "leave_type_id": ["None", "5"], "available_days": ["None", "11.0"], "carryforward_days": ["None", "0"], "total_leave_days": ["None", "11.0"], "assigned_date": ["None", "2025-07-11 11:26:33.440221+00:00"], "reset_date": ["None", "None"], "expired_date": ["None", "None"], "id": ["None", "153"], "created_at": ["None", "2025-07-11 11:26:33.442153"], "created_by": ["None", "1"], "modified_by": ["None", "1"]}


object_pk: 1
object_repr: Abhirbhav Gupta (PEP0002) | Redden Casual Leave | requested as of 2025-07-11 11:27:25.955859+00:00
timestamp: 2025-07-11 11:27:25.966726
remote_addr: 127.0.0.1
actor_email: adam.luis@horilla.com
changes:
  {"created_at": ["None", "2025-07-11 11:27:25.950391"], "is_active": ["None", "True"], "history_date": ["None", "2025-07-11 11:27:25.955859"], "history_title": ["None", "None"], "history_description": ["None", "None"], "history_highlight": ["None", "False"], "start_date": ["None", "2025-07-12"], "start_date_breakdown": ["None", "full_day"], "end_date": ["None", "2025-07-12"], "end_date_breakdown": ["None", "full_day"], "requested_days": ["None", "1"], "leave_clashes_count": ["None", "0"], "description": ["None", "test"], "attachment": ["None", ""], "status": ["None", "requested"], "requested_date": ["None", "2025-07-11 11:27:25.910287+00:00"], "approved_available_days": ["None", "0"], "approved_carryforward_days": ["None", "0"], "reject_reason": ["None", ""], "modified_by": ["None", "1"], "employee_id": ["None", "127"], "leave_type_id": ["None", "5"], "created_by": ["None", "1"], "history_id": ["None", "1"], "id": ["None", "14"], "history_change_reason": ["None", "None"], "history_type": ["None", "+"], "history_relation": ["None", "14"], "history_user": ["None", "1"]}


object_pk: 14
object_repr: Abhirbhav Gupta (PEP0002) | Redden Casual Leave | requested
timestamp: 2025-07-11 11:27:25.978641
remote_addr: 127.0.0.1
actor_email: adam.luis@horilla.com
changes:
  {"history_set": ["None", "leave.HistoricalLeaveRequest.None"], "created_at": ["None", "2025-07-11 11:27:25.950391"], "modified_by": ["None", "1"], "is_active": ["None", "True"], "employee_id": ["None", "127"], "leave_type_id": ["None", "5"], "start_date": ["None", "2025-07-12"], "start_date_breakdown": ["None", "full_day"], "end_date": ["None", "2025-07-12"], "end_date_breakdown": ["None", "full_day"], "requested_days": ["None", "1"], "leave_clashes_count": ["None", "0"], "description": ["None", "test"], "attachment": ["None", ""], "status": ["None", "requested"], "requested_date": ["None", "2025-07-11 11:27:25.910287+00:00"], "approved_available_days": ["None", "0"], "approved_carryforward_days": ["None", "0"], "reject_reason": ["None", ""], "created_by": ["None", "1"], "id": ["None", "14"]}


object_pk: 8
object_repr: Adam Luis (PEP00) New leave request created for Abhirbhav Gupta (PEP0002). 0 minutes ago
timestamp: 2025-07-11 11:27:26.012824
remote_addr: 127.0.0.1
actor_email: adam.luis@horilla.com
changes:
  {"level": ["None", "info"], "recipient": ["None", "129"], "unread": ["None", "True"], "actor_content_type": ["None", "53"], "actor_object_id": ["None", "1"], "verb": ["None", "New leave request created for Abhirbhav Gupta (PEP0002)."], "description": ["None", "None"], "target_object_id": ["None", "None"], "action_object_object_id": ["None", "None"], "timestamp": ["None", "2025-07-11 11:27:25.997037"], "public": ["None", "True"], "deleted": ["None", "False"], "emailed": ["None", "False"], "data": ["None", "{\"icon\": \"people-circle\", \"redirect\": \"/leave/request-view/?id=14\", \"verb_ar\": \"\\u062a\\u0645 \\u0625\\u0646\\u0634\\u0627\\u0621 \\u0637\\u0644\\u0628 \\u0625\\u062c\\u0627\\u0632\\u0629 \\u062c\\u062f\\u064a\\u062f \\u0644\\u0640 Abhirbhav Gupta (PEP0002).\", \"verb_de\": \"Neuer Urlaubsantrag erstellt f\\u00fcr Abhirbhav Gupta (PEP0002).\", \"verb_es\": \"Nueva solicitud de permiso creada para Abhirbhav Gupta (PEP0002).\", \"verb_fr\": \"Nouvelle demande de cong\\u00e9 cr\\u00e9\\u00e9e pour Abhirbhav Gupta (PEP0002).\"}"], "verb_en": ["None", ""], "verb_ar": ["None", "\u062a\u0645 \u0625\u0646\u0634\u0627\u0621 \u0637\u0644\u0628 \u0625\u062c\u0627\u0632\u0629 \u062c\u062f\u064a\u062f \u0644\u0640 Abhirbhav Gupta (PEP0002)."], "verb_de": ["None", "Neuer Urlaubsantrag erstellt f\u00fcr Abhirbhav Gupta (PEP0002)."], "verb_es": ["None", "Nueva solicitud de permiso creada para Abhirbhav Gupta (PEP0002)."], "verb_fr": ["None", "Nouvelle demande de cong\u00e9 cr\u00e9\u00e9e pour Abhirbhav Gupta (PEP0002)."], "actor": ["None", "Adam Luis (PEP00)"], "target": ["None", "None"], "action_object": ["None", "None"], "id": ["None", "8"]}


object_pk: 2
object_repr: EmailLog object (2)
timestamp: 2025-07-11 11:27:28.744109
changes:
  {"to": ["None", "['abhirbhav@yopmail.com']"], "status": ["None", "sent"], "created_at": ["None", "2025-07-11 11:27:28.733844"], "id": ["None", "2"], "subject": ["None", "Leave request has been requested by Abhirbhav Gupta (PEP0002)"], "body": ["None", " \n<!DOCTYPE html>\n<html lang=\"en\">\n    <head>\n        <meta charset=\"UTF-8\" />\n        <meta http-equiv=\"X-UA-Compatible\" content=\"IE=edge\" />\n        <meta name=\"viewport\" content=\"width=device-width, initial-scale=1.0\" />\n        <title>Horilla</title>\n\n        <style>\n            body {\n                margin: 0;\n                background-color: #e5e5e5;\n            }\n\n            table {\n                border-spacing: 0;\n            }\n\n            td {\n                padding: 0;\n            }\n\n            img {\n                border: 0;\n            }\n\n            .hr-wrapper {\n                width: 100%;\n                table-layout: fixed;\n                background-color: #e5e5e5;\n                padding-bottom: 60px;\n            }\n\n            .hr-table-main {\n                background-color: #fff;\n                margin: 0 auto;\n                width: 100%;\n                max-width: 650px;\n                border-spacing: 0;\n                font-family: Arial, \"Helvetica Neue\", Helvetica, sans-serif;\n                color: #1c1c1c;\n                margin-top: 15px;\n            }\n\n            .hr-table-main__header {\n                table-layout: fixed;\n                padding: 15px;\n                width: 100%;\n            }\n\n            .hr-link {\n                color: #6f6f6f;\n                font-size: 12px;\n            }\n\n            .hr-callout-table {\n                table-layout: fixed;\n                width: 100%;\n                border: 1px solid #f0f0f0;\n                font-size: 14px;\n            }\n\n            .hr-callout-table td {\n                padding: 10px;\n                background-color: #fafafa;\n            }\n        </style>\n    </head>\n\n    <body>\n        <center class=\"hr-wrapper\">\n            <table class=\"hr-table-main\" width=\"100%\" style=\"margin-top: 60px\">\n                <tr>\n                    <td>\n                        <table class=\"hr-table-main__header\">\n                            <tr>\n                                <td style=\"width: 50%\">\n                                    <img\n                                        src=\"http://0.0.0.0:8000//media/base/icon/Screenshot_from_2025-07-01_15-30-46_y2qDsOm.png\"\n                                        height=\"30\"\n                                        width=\"110.4\"\n                                    />\n                                </td>\n                                <td style=\"width: 50%; text-align: right\">\n                                    <a href=\"#\" class=\"hr-link\"\n                                        >View in browser</a\n                                    >\n                                </td>\n                            </tr>\n                        </table>\n                    </td>\n                </tr>\n                <tr>\n                    <td\n                        align=\"center\"\n                        style=\"padding-top: 20px; padding-bottom: 20px\"\n                    >\n                        <img\n                            src=\"http://0.0.0.0:8000/static/images/ui/leave.svg\"\n                            style=\"\n                                display: block;\n                                height: auto;\n                                border: 0;\n                                width: 20%;\n                            \"\n                            width=\"272\"\n                        />\n                    </td>\n                </tr>\n                <tr>\n                    <td\n                        style=\"padding: 15px 25px 0 25px; font-size: 24px\"\n                        align=\"center\"\n                    >\n                        <strong\n                            >Hello Abhirbhav Gupta,\n                            Leave request has been requested by Abhirbhav Gupta (PEP0002)!</strong\n                        >\n                    </td>\n                </tr>\n                <tr>\n                    <td align=\"center\" style=\"padding-top: 0px\">\n                        <p style=\"width: 90%\">This is to inform you that a leave request has been requested by Abhirbhav Gupta (PEP0002). Take the necessary actions for the leave request. Should you have any additional information or updates, please feel free to communicate directly with the Abhirbhav Gupta (PEP0002).</p>\n                    </td>\n                </tr>\n                \n                <tr>\n                    <td style=\"padding: 15px\" align=\"center\">\n                        <a\n                            href=\"http://0.0.0.0:8000/leave/request-view/?id=14\"\n                            style=\"\n                                background-color: #e54f37;\n                                color: #fff;\n                                border-radius: 10px;\n                                display: inline-block;\n                                padding: 15px 25px;\n                                text-decoration: none;\n                                font-weight: bold;\n                            \"\n                            >View Leave Request</a\n                        >\n                    </td>\n                </tr>\n                \n\n                <tr>\n                    <td\n                        align=\"center\"\n                        style=\"\n                            padding-left: 15px;\n                            padding-right: 15px;\n                            padding-top: 30px;\n                            padding-bottom: 15px;\n                            color: #5c5c5c;\n                            font-size: 12px;\n                        \"\n                    >\n                        This mail was sent you because your email has been\n                        enrolled as an employee at .<br />\n                        Don't want to receive mails like these anymore?\n                        <a href=\"#\" style=\"color: #5c5c5c\">Unsubscribe here</a>.\n                    </td>\n                </tr>\n                <tr>\n                    <td\n                        align=\"center\"\n                        style=\"\n                            padding-left: 15px;\n                            padding-right: 15px;\n                            padding-bottom: 10px;\n                            padding-top: 10px;\n                            color: #5c5c5c;\n                            font-size: 12px;\n                        \"\n                    >\n                        &copy; 2025 Horilla\n                    </td>\n                </tr>\n            </table>\n        </center>\n    </body>\n</html>\n"], "from_email": ["None", "ReddenSoft <admin@reddensoft.com>"]}


object_pk: 300
object_repr: ABS-2025-07-12-Abhirbhav Gupta (PEP0002)
timestamp: 2025-07-11 11:27:30.691356
remote_addr: 127.0.0.1
actor_email: adam.luis@horilla.com
changes:
  {"record_name": ["None", "None"], "work_record_type": ["None", "ABS"], "employee_id": ["None", "127"], "date": ["None", "2025-07-12"], "at_work": ["None", "00:00"], "min_hour": ["None", "00:00"], "at_work_second": ["None", "0"], "min_hour_second": ["None", "0"], "note": ["None", ""], "message": ["None", "Leave"], "is_attendance_record": ["None", "False"], "is_leave_record": ["None", "True"], "leave_request_id": ["None", "14"], "day_percentage": ["None", "0.0"], "last_update": ["None", "2025-07-11 11:27:30.684962"], "id": ["None", "300"]}


object_pk: 14
object_repr: Abhirbhav Gupta (PEP0002) | Redden Casual Leave | approved
timestamp: 2025-07-11 11:27:30.702012
remote_addr: 127.0.0.1
actor_email: adam.luis@horilla.com
changes:
  {"requested_days": ["1.0", "1"], "status": ["requested", "approved"], "approved_available_days": ["0.0", "1.0"]}


object_pk: 2
object_repr: Abhirbhav Gupta (PEP0002) | Redden Casual Leave | approved as of 2025-07-11 11:27:30.718492+00:00
timestamp: 2025-07-11 11:27:30.728989
remote_addr: 127.0.0.1
actor_email: adam.luis@horilla.com
changes:
  {"created_at": ["None", "2025-07-11 11:27:25.950391"], "is_active": ["None", "True"], "history_date": ["None", "2025-07-11 11:27:30.718492"], "history_title": ["None", "None"], "history_description": ["None", "None"], "history_highlight": ["None", "False"], "start_date": ["None", "2025-07-12"], "start_date_breakdown": ["None", "full_day"], "end_date": ["None", "2025-07-12"], "end_date_breakdown": ["None", "full_day"], "requested_days": ["None", "1"], "leave_clashes_count": ["None", "0"], "description": ["None", "test"], "attachment": ["None", ""], "status": ["None", "approved"], "requested_date": ["None", "2025-07-11"], "approved_available_days": ["None", "1.0"], "approved_carryforward_days": ["None", "0.0"], "reject_reason": ["None", ""], "modified_by": ["None", "1"], "employee_id": ["None", "127"], "leave_type_id": ["None", "5"], "created_by": ["None", "1"], "history_id": ["None", "2"], "id": ["None", "14"], "history_change_reason": ["None", "None"], "history_type": ["None", "~"], "history_relation": ["None", "14"], "history_user": ["None", "1"]}


