# auditlog_logentry

object_pk: 175
object_repr: Ford-CRT0002
timestamp: 2026-06-15 21:59:04.796311
remote_addr: 127.0.0.1
changes:
  {"asset_report": ["None", "asset.AssetReport.None"], "id": ["None", "175"], "asset_name": ["None", "Ford"], "owner": ["None", "None"], "asset_tracking_id": ["None", "CRT0002"], "asset_purchase_date": ["None", "2023-04-12"], "asset_purchase_cost": ["None", "120000.00"], "asset_category_id": ["None", "7"], "asset_status": ["None", "Available"], "asset_lot_number_id": ["None", "11"], "notify_before": ["None", "1"], "created_at": ["None", "2025-07-22 07:32:12.688000"], "created_by": ["None", "1"], "modified_by": ["None", "1"], "is_active": ["None", "True"]}


object_pk: 176
object_repr: Volkswagen-CRT0003
timestamp: 2026-06-15 21:59:04.798317
remote_addr: 127.0.0.1
changes:
  {"asset_report": ["None", "asset.AssetReport.None"], "id": ["None", "176"], "asset_name": ["None", "Volkswagen"], "owner": ["None", "None"], "asset_tracking_id": ["None", "CRT0003"], "asset_purchase_date": ["None", "2023-04-12"], "asset_purchase_cost": ["None", "120000.00"], "asset_category_id": ["None", "7"], "asset_status": ["None", "Not-Available"], "asset_lot_number_id": ["None", "11"], "notify_before": ["None", "1"], "created_at": ["None", "2025-07-22 07:32:12.711000"], "created_by": ["None", "1"], "modified_by": ["None", "1"], "is_active": ["None", "True"]}


object_pk: 177
object_repr: BMW-CRT0004
timestamp: 2026-06-15 21:59:04.802331
remote_addr: 127.0.0.1
changes:
  {"asset_report": ["None", "asset.AssetReport.None"], "id": ["None", "177"], "asset_name": ["None", "BMW"], "owner": ["None", "None"], "asset_tracking_id": ["None", "CRT0004"], "asset_purchase_date": ["None", "2023-04-12"], "asset_purchase_cost": ["None", "120000.00"], "asset_category_id": ["None", "7"], "asset_status": ["None", "In use"], "asset_lot_number_id": ["None", "11"], "notify_before": ["None", "1"], "created_at": ["None", "2025-07-22 07:32:12.732000"], "created_by": ["None", "1"], "modified_by": ["None", "1"], "is_active": ["None", "True"]}


object_pk: 178
object_repr: Mercedes-Benz-CRT0005
timestamp: 2026-06-15 21:59:04.805342
remote_addr: 127.0.0.1
changes:
  {"asset_report": ["None", "asset.AssetReport.None"], "id": ["None", "178"], "asset_name": ["None", "Mercedes-Benz"], "owner": ["None", "None"], "asset_tracking_id": ["None", "CRT0005"], "asset_purchase_date": ["None", "2023-04-12"], "asset_purchase_cost": ["None", "120000.00"], "asset_category_id": ["None", "7"], "asset_status": ["None", "Available"], "asset_lot_number_id": ["None", "11"], "notify_before": ["None", "1"], "created_at": ["None", "2025-07-22 07:32:12.753000"], "created_by": ["None", "1"], "modified_by": ["None", "1"], "is_active": ["None", "True"]}


object_pk: 179
object_repr: Audi-CRT0006
timestamp: 2026-06-15 21:59:04.807350
remote_addr: 127.0.0.1
changes:
  {"asset_report": ["None", "asset.AssetReport.None"], "id": ["None", "179"], "asset_name": ["None", "Audi"], "owner": ["None", "None"], "asset_tracking_id": ["None", "CRT0006"], "asset_purchase_date": ["None", "2023-04-12"], "asset_purchase_cost": ["None", "120000.00"], "asset_category_id": ["None", "7"], "asset_status": ["None", "Not-Available"], "asset_lot_number_id": ["None", "11"], "notify_before": ["None", "1"], "created_at": ["None", "2025-07-22 07:32:12.775000"], "created_by": ["None", "1"], "modified_by": ["None", "1"], "is_active": ["None", "True"]}


object_pk: 180
object_repr: Honda-CRT0007
timestamp: 2026-06-15 21:59:04.809354
remote_addr: 127.0.0.1
changes:
  {"asset_report": ["None", "asset.AssetReport.None"], "id": ["None", "180"], "asset_name": ["None", "Honda"], "owner": ["None", "None"], "asset_tracking_id": ["None", "CRT0007"], "asset_purchase_date": ["None", "2023-04-12"], "asset_purchase_cost": ["None", "120000.00"], "asset_category_id": ["None", "7"], "asset_status": ["None", "Available"], "asset_lot_number_id": ["None", "11"], "notify_before": ["None", "1"], "created_at": ["None", "2025-07-22 07:32:12.796000"], "created_by": ["None", "1"], "modified_by": ["None", "1"], "is_active": ["None", "True"]}


object_pk: 181
object_repr: Nissan-CRT0008
timestamp: 2026-06-15 21:59:04.812364
remote_addr: 127.0.0.1
changes:
  {"asset_report": ["None", "asset.AssetReport.None"], "id": ["None", "181"], "asset_name": ["None", "Nissan"], "owner": ["None", "None"], "asset_tracking_id": ["None", "CRT0008"], "asset_purchase_date": ["None", "2023-04-12"], "asset_purchase_cost": ["None", "120000.00"], "asset_category_id": ["None", "7"], "asset_status": ["None", "Available"], "asset_lot_number_id": ["None", "11"], "notify_before": ["None", "1"], "created_at": ["None", "2025-07-22 07:32:12.821000"], "created_by": ["None", "1"], "modified_by": ["None", "1"], "is_active": ["None", "True"]}


object_pk: 182
object_repr: Chevrolet-CRT0009
timestamp: 2026-06-15 21:59:04.814370
remote_addr: 127.0.0.1
changes:
  {"asset_report": ["None", "asset.AssetReport.None"], "id": ["None", "182"], "asset_name": ["None", "Chevrolet"], "owner": ["None", "None"], "asset_tracking_id": ["None", "CRT0009"], "asset_purchase_date": ["None", "2023-04-12"], "asset_purchase_cost": ["None", "120000.00"], "asset_category_id": ["None", "7"], "asset_status": ["None", "Not-Available"], "asset_lot_number_id": ["None", "11"], "notify_before": ["None", "1"], "created_at": ["None", "2025-07-22 07:32:12.848000"], "created_by": ["None", "1"], "modified_by": ["None", "1"], "is_active": ["None", "True"]}


object_pk: 183
object_repr: Porsche.-CRT0010
timestamp: 2026-06-15 21:59:04.817383
remote_addr: 127.0.0.1
changes:
  {"asset_report": ["None", "asset.AssetReport.None"], "id": ["None", "183"], "asset_name": ["None", "Porsche."], "owner": ["None", "None"], "asset_tracking_id": ["None", "CRT0010"], "asset_purchase_date": ["None", "2023-04-12"], "asset_purchase_cost": ["None", "120000.00"], "asset_category_id": ["None", "7"], "asset_status": ["None", "Available"], "asset_lot_number_id": ["None", "11"], "notify_before": ["None", "1"], "created_at": ["None", "2025-07-22 07:32:12.877000"], "created_by": ["None", "1"], "modified_by": ["None", "1"], "is_active": ["None", "True"]}


object_pk: 184
object_repr: Tesla-CRT0011
timestamp: 2026-06-15 21:59:04.820390
remote_addr: 127.0.0.1
changes:
  {"asset_report": ["None", "asset.AssetReport.None"], "id": ["None", "184"], "asset_name": ["None", "Tesla"], "owner": ["None", "None"], "asset_tracking_id": ["None", "CRT0011"], "asset_purchase_date": ["None", "2023-04-12"], "asset_purchase_cost": ["None", "120000.00"], "asset_category_id": ["None", "7"], "asset_status": ["None", "Available"], "asset_lot_number_id": ["None", "11"], "notify_before": ["None", "1"], "created_at": ["None", "2025-07-22 07:32:12.911000"], "created_by": ["None", "1"], "modified_by": ["None", "1"], "is_active": ["None", "True"]}


object_pk: 185
object_repr: Jeep-CRT0012
timestamp: 2026-06-15 21:59:04.823399
remote_addr: 127.0.0.1
changes:
  {"asset_report": ["None", "asset.AssetReport.None"], "id": ["None", "185"], "asset_name": ["None", "Jeep"], "owner": ["None", "None"], "asset_tracking_id": ["None", "CRT0012"], "asset_purchase_date": ["None", "2023-04-12"], "asset_purchase_cost": ["None", "120000.00"], "asset_category_id": ["None", "7"], "asset_status": ["None", "Not-Available"], "asset_lot_number_id": ["None", "11"], "notify_before": ["None", "1"], "created_at": ["None", "2025-07-22 07:32:12.936000"], "created_by": ["None", "1"], "modified_by": ["None", "1"], "is_active": ["None", "True"]}


object_pk: 186
object_repr: Volvo-CRT0013
timestamp: 2026-06-15 21:59:04.825406
remote_addr: 127.0.0.1
changes:
  {"asset_report": ["None", "asset.AssetReport.None"], "id": ["None", "186"], "asset_name": ["None", "Volvo"], "owner": ["None", "None"], "asset_tracking_id": ["None", "CRT0013"], "asset_purchase_date": ["None", "2023-04-12"], "asset_purchase_cost": ["None", "120000.00"], "asset_category_id": ["None", "7"], "asset_status": ["None", "Available"], "asset_lot_number_id": ["None", "11"], "notify_before": ["None", "1"], "created_at": ["None", "2025-07-22 07:32:12.960000"], "created_by": ["None", "1"], "modified_by": ["None", "1"], "is_active": ["None", "True"]}


object_pk: 187
object_repr: Mazda-CRT0014
timestamp: 2026-06-15 21:59:04.827414
remote_addr: 127.0.0.1
changes:
  {"asset_report": ["None", "asset.AssetReport.None"], "id": ["None", "187"], "asset_name": ["None", "Mazda"], "owner": ["None", "None"], "asset_tracking_id": ["None", "CRT0014"], "asset_purchase_date": ["None", "2023-04-12"], "asset_purchase_cost": ["None", "120000.00"], "asset_category_id": ["None", "7"], "asset_status": ["None", "Available"], "asset_lot_number_id": ["None", "11"], "notify_before": ["None", "1"], "created_at": ["None", "2025-07-22 07:32:12.979000"], "created_by": ["None", "1"], "modified_by": ["None", "1"], "is_active": ["None", "True"]}


object_pk: 188
object_repr: Kia-CRT0015
timestamp: 2026-06-15 21:59:04.830425
remote_addr: 127.0.0.1
changes:
  {"asset_report": ["None", "asset.AssetReport.None"], "id": ["None", "188"], "asset_name": ["None", "Kia"], "owner": ["None", "None"], "asset_tracking_id": ["None", "CRT0015"], "asset_purchase_date": ["None", "2023-04-13"], "asset_purchase_cost": ["None", "120000.00"], "asset_category_id": ["None", "7"], "asset_status": ["None", "Not-Available"], "asset_lot_number_id": ["None", "11"], "notify_before": ["None", "1"], "created_at": ["None", "2025-07-22 07:32:12.997000"], "created_by": ["None", "1"], "modified_by": ["None", "1"], "is_active": ["None", "True"]}


object_pk: 189
object_repr: Hyundai-CRT0016
timestamp: 2026-06-15 21:59:04.832431
remote_addr: 127.0.0.1
changes:
  {"asset_report": ["None", "asset.AssetReport.None"], "id": ["None", "189"], "asset_name": ["None", "Hyundai"], "owner": ["None", "None"], "asset_tracking_id": ["None", "CRT0016"], "asset_purchase_date": ["None", "2023-04-13"], "asset_purchase_cost": ["None", "120000.00"], "asset_category_id": ["None", "7"], "asset_status": ["None", "Available"], "asset_lot_number_id": ["None", "11"], "notify_before": ["None", "1"], "created_at": ["None", "2025-07-22 07:32:13.016000"], "created_by": ["None", "1"], "modified_by": ["None", "1"], "is_active": ["None", "True"]}


object_pk: 190
object_repr: Ferrari-CRT0017
timestamp: 2026-06-15 21:59:04.836446
remote_addr: 127.0.0.1
changes:
  {"asset_report": ["None", "asset.AssetReport.None"], "id": ["None", "190"], "asset_name": ["None", "Ferrari"], "owner": ["None", "None"], "asset_tracking_id": ["None", "CRT0017"], "asset_purchase_date": ["None", "2023-04-13"], "asset_purchase_cost": ["None", "120000.00"], "asset_category_id": ["None", "7"], "asset_status": ["None", "Available"], "asset_lot_number_id": ["None", "11"], "notify_before": ["None", "1"], "created_at": ["None", "2025-07-22 07:32:13.036000"], "created_by": ["None", "1"], "modified_by": ["None", "1"], "is_active": ["None", "True"]}


object_pk: 191
object_repr: Lamborghini-CRT0018
timestamp: 2026-06-15 21:59:04.839976
remote_addr: 127.0.0.1
changes:
  {"asset_report": ["None", "asset.AssetReport.None"], "id": ["None", "191"], "asset_name": ["None", "Lamborghini"], "owner": ["None", "None"], "asset_tracking_id": ["None", "CRT0018"], "asset_purchase_date": ["None", "2023-04-13"], "asset_purchase_cost": ["None", "120000.00"], "asset_category_id": ["None", "7"], "asset_status": ["None", "Not-Available"], "asset_lot_number_id": ["None", "11"], "notify_before": ["None", "1"], "created_at": ["None", "2025-07-22 07:32:13.056000"], "created_by": ["None", "1"], "modified_by": ["None", "1"], "is_active": ["None", "True"]}


object_pk: 192
object_repr: Aston Martin-CRT0019
timestamp: 2026-06-15 21:59:04.842986
remote_addr: 127.0.0.1
changes:
  {"asset_report": ["None", "asset.AssetReport.None"], "id": ["None", "192"], "asset_name": ["None", "Aston Martin"], "owner": ["None", "None"], "asset_tracking_id": ["None", "CRT0019"], "asset_purchase_date": ["None", "2023-04-13"], "asset_purchase_cost": ["None", "120000.00"], "asset_category_id": ["None", "7"], "asset_status": ["None", "Available"], "asset_lot_number_id": ["None", "11"], "notify_before": ["None", "1"], "created_at": ["None", "2025-07-22 07:32:13.076000"], "created_by": ["None", "1"], "modified_by": ["None", "1"], "is_active": ["None", "True"]}


object_pk: 193
object_repr: Rolls-Royce.-CRT0020
timestamp: 2026-06-15 21:59:04.844992
remote_addr: 127.0.0.1
changes:
  {"asset_report": ["None", "asset.AssetReport.None"], "id": ["None", "193"], "asset_name": ["None", "Rolls-Royce."], "owner": ["None", "None"], "asset_tracking_id": ["None", "CRT0020"], "asset_purchase_date": ["None", "2023-04-13"], "asset_purchase_cost": ["None", "120000.00"], "asset_category_id": ["None", "7"], "asset_status": ["None", "Available"], "asset_lot_number_id": ["None", "11"], "notify_before": ["None", "1"], "created_at": ["None", "2025-07-22 07:32:13.097000"], "created_by": ["None", "1"], "modified_by": ["None", "1"], "is_active": ["None", "True"]}


object_pk: 1
object_repr: Adam Luis (PEP00) --- BMW-CRT0004 --- None
timestamp: 2026-06-15 21:59:04.852017
remote_addr: 127.0.0.1
changes:
  {"asset_id": ["None", "177"], "is_active": ["None", "True"], "assigned_to_employee_id": ["None", "1"], "assigned_date": ["None", "2025-07-24"], "assigned_by_employee_id": ["None", "1"], "return_request": ["None", "False"], "id": ["None", "1"], "created_at": ["None", "2025-07-24 05:26:59.456000"], "created_by": ["None", "1"], "modified_by": ["None", "1"]}


object_pk: 2
object_repr: Violet Griffin (PEP73) --- Bose QuietComfort-HPT0024 --- Healthy
timestamp: 2026-06-15 21:59:04.858034
remote_addr: 127.0.0.1
changes:
  {"asset_id": ["None", "64"], "is_active": ["None", "True"], "assigned_to_employee_id": ["None", "67"], "assigned_date": ["None", "2025-07-24"], "assigned_by_employee_id": ["None", "1"], "return_date": ["None", "2025-07-24"], "return_condition": ["None", "good condition"], "return_status": ["None", "Healthy"], "return_request": ["None", "False"], "id": ["None", "2"], "created_at": ["None", "2025-07-24 05:28:20.560000"], "created_by": ["None", "1"], "modified_by": ["None", "1"]}


object_pk: 1
object_repr: AssetRequest object (1)
timestamp: 2026-06-15 21:59:04.863051
remote_addr: 127.0.0.1
changes:
  {"is_active": ["None", "True"], "id": ["None", "1"], "requested_employee_id": ["None", "1"], "asset_category_id": ["None", "1"], "asset_request_date": ["None", "2025-07-24"], "description": ["None", "i need a laptop"], "asset_request_status": ["None", "Requested"], "created_at": ["None", "2025-07-24 05:25:00.158000"], "created_by": ["None", "1"], "modified_by": ["None", "1"]}


object_pk: 2
object_repr: AssetRequest object (2)
timestamp: 2026-06-15 21:59:04.865058
remote_addr: 127.0.0.1
changes:
  {"is_active": ["None", "True"], "id": ["None", "2"], "requested_employee_id": ["None", "12"], "asset_category_id": ["None", "1"], "asset_request_date": ["None", "2025-07-24"], "description": ["None", "i need a laptop"], "asset_request_status": ["None", "Requested"], "created_at": ["None", "2025-07-24 05:25:11.332000"], "created_by": ["None", "1"], "modified_by": ["None", "1"]}


object_pk: 3
object_repr: AssetRequest object (3)
timestamp: 2026-06-15 21:59:04.868079
remote_addr: 127.0.0.1
changes:
  {"is_active": ["None", "True"], "id": ["None", "3"], "requested_employee_id": ["None", "13"], "asset_category_id": ["None", "1"], "asset_request_date": ["None", "2025-07-24"], "description": ["None", "i need a laptop"], "asset_request_status": ["None", "Requested"], "created_at": ["None", "2025-07-24 05:25:24.608000"], "created_by": ["None", "1"], "modified_by": ["None", "1"]}


object_pk: 4
object_repr: AssetRequest object (4)
timestamp: 2026-06-15 21:59:04.870078
remote_addr: 127.0.0.1
changes:
  {"is_active": ["None", "True"], "id": ["None", "4"], "requested_employee_id": ["None", "1"], "asset_category_id": ["None", "7"], "asset_request_date": ["None", "2025-07-24"], "description": ["None", "i need a car"], "asset_request_status": ["None", "Approved"], "created_at": ["None", "2025-07-24 05:25:37.401000"], "created_by": ["None", "1"], "modified_by": ["None", "1"]}


object_pk: 5
object_repr: AssetRequest object (5)
timestamp: 2026-06-15 21:59:04.872081
remote_addr: 127.0.0.1
changes:
  {"is_active": ["None", "True"], "id": ["None", "5"], "requested_employee_id": ["None", "67"], "asset_category_id": ["None", "2"], "asset_request_date": ["None", "2025-07-24"], "description": ["None", "i need a headset"], "asset_request_status": ["None", "Approved"], "created_at": ["None", "2025-07-24 05:25:57.948000"], "created_by": ["None", "1"], "modified_by": ["None", "1"]}


object_pk: 1
object_repr: Initial
timestamp: 2026-06-15 21:59:05.061318
remote_addr: 127.0.0.1
changes:
  {"id": ["None", "1"], "is_active": ["None", "True"], "sequence": ["None", "0"], "is_final_stage": ["None", "False"], "onboarding_task": ["None", "onboarding.OnboardingTask.None"], "candidate": ["None", "onboarding.CandidateStage.None"], "candidate_task": ["None", "onboarding.CandidateTask.None"], "stage_title": ["None", "Initial"], "recruitment_id": ["None", "1"], "created_at": ["None", "2026-06-15 21:59:05.059311"], "created_by": ["None", "None"], "modified_by": ["None", "None"]}


object_pk: 1
object_repr: Applied - (Recruitment Drive)
timestamp: 2026-06-15 21:59:05.064328
remote_addr: 127.0.0.1
changes:
  {"is_active": ["None", "True"], "stage": ["None", "Applied"], "stage_type": ["None", "applied"], "sequence": ["None", "0"], "recruitment_id": ["None", "1"], "id": ["None", "1"], "created_at": ["None", "2026-06-15 21:59:05.063325"], "created_by": ["None", "None"], "modified_by": ["None", "None"]}


object_pk: 2
object_repr: Initial - (Recruitment Drive)
timestamp: 2026-06-15 21:59:05.066336
remote_addr: 127.0.0.1
changes:
  {"is_active": ["None", "True"], "stage": ["None", "Initial"], "stage_type": ["None", "initial"], "sequence": ["None", "1"], "recruitment_id": ["None", "1"], "id": ["None", "2"], "created_at": ["None", "2026-06-15 21:59:05.065337"], "created_by": ["None", "None"], "modified_by": ["None", "None"]}


object_pk: 1
object_repr: Recruitment Drive
timestamp: 2026-06-15 21:59:05.069348
remote_addr: 127.0.0.1
changes:
  {"title": ["None", "Recruitment Drive"], "description": ["None", "<p><b><u><span style=\"font-size: 18px;\">Position: Django Developer &amp; ODOO dev</span></u></b></p><p><b>Job Description:</b></p><p>We are seeking a skilled Django Developers and ODOO developers to join our dynamic team. The ideal candidate will have a strong background in web development with a focus on the Django framework. You will be responsible for designing, building, and maintaining high-performance web applications that are scalable and secure.</p><p><b>Key Responsibilities:</b></p><p>Develop and maintain web applications using Django.</p><p>Write clean, maintainable, and efficient code.</p><p>Design and implement robust APIs.</p><p>Collaborate with front-end developers to integrate user-facing elements.</p><p>Optimize applications for maximum speed and scalability.</p><p>Participate in code reviews to maintain code quality and share knowledge.</p><p>Stay updated with the latest industry trends and technologies.</p><p><b>Requirements:</b></p><p>Proven experience as a Django Developer.</p><p>Proficient in Python and Django framework.</p><p>Familiarity with front-end technologies (JavaScript, HTML5, CSS3).</p><p>Experience with relational databases (PostgreSQL, MySQL).</p><p>Knowledge of version control systems (Git).</p><p>Understanding of RESTful APIs and web services.</p><p>Strong problem-solving skills and attention to detail.</p><p>Excellent communication and teamwork skills.</p><p>Bachelor\u00c6s degree in Computer Science, Engineering, or a related field.</p><p><b>Preferred Qualifications:</b></p><p>Experience with cloud platforms (AWS, Azure, GCP).</p><p>Knowledge of containerization and orchestration (Docker, Kubernetes).</p><p>Familiarity with Agile development methodologies.</p>"], "is_event_based": ["None", "False"], "closed": ["None", "False"], "is_published": ["None", "True"], "job_position_id": ["None", "None"], "vacancy": ["None", "15"], "company_id": ["None", "1"], "start_date": ["None", "2025-07-01"], "end_date": ["None", "2025-07-30"], "linkedin_account_id": ["None", "None"], "publish_in_linkedin": ["None", "True"], "optional_profile_image": ["None", "False"], "optional_resume": ["None", "False"], "onboarding_stage": ["None", "onboarding.OnboardingStage.None"], "id": ["None", "1"], "created_at": ["None", "2025-07-22 08:48:40.136000"], "created_by": ["None", "1"], "modified_by": ["None", "1"], "stage_set": ["None", "recruitment.Stage.None"], "is_active": ["None", "True"], "resume": ["None", "recruitment.Resume.None"], "candidate": ["None", "recruitment.Candidate.None"]}


object_pk: 1
object_repr: Recruitment Drive
timestamp: 2026-06-15 21:59:05.076368
remote_addr: 127.0.0.1
changes:
  {"open_positions": {"type": "m2m", "operation": "add", "objects": ["Odoo Dev - (S/W Dept)", "Django Dev - (S/W Dept)"]}}


object_pk: 1
object_repr: Recruitment Drive
timestamp: 2026-06-15 21:59:05.086403
remote_addr: 127.0.0.1
changes:
  {"recruitment_managers": {"type": "m2m", "operation": "add", "objects": ["Abigail Roberts (PEP15)", "Adam Luis (PEP00)"]}}


object_pk: 2
object_repr: Initial
timestamp: 2026-06-15 21:59:05.092421
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object_pk: 13
object_repr: Charlotte Brooks
timestamp: 2026-06-15 21:59:05.238416
remote_addr: 127.0.0.1
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object_pk: 14
object_repr: Henry Jenkins
timestamp: 2026-06-15 21:59:05.243510
remote_addr: 127.0.0.1
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object_pk: 15
object_repr: Amelia Hayes
timestamp: 2026-06-15 21:59:05.247523
remote_addr: 127.0.0.1
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object_pk: 16
object_repr: Grace Price
timestamp: 2026-06-15 21:59:05.254548
remote_addr: 127.0.0.1
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object_pk: 17
object_repr: Sebastian Howard
timestamp: 2026-06-15 21:59:05.258560
remote_addr: 127.0.0.1
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object_pk: 1
object_repr: Long distance
timestamp: 2026-06-15 21:59:05.260566
remote_addr: 127.0.0.1
changes:
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object_pk: 2
object_repr: Salary misagreement
timestamp: 2026-06-15 21:59:05.261570
remote_addr: 127.0.0.1
changes:
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object_pk: 1
object_repr: Designer
timestamp: 2026-06-15 21:59:05.264581
remote_addr: 127.0.0.1
changes:
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object_pk: 2
object_repr: Social Media Influencer
timestamp: 2026-06-15 21:59:05.267597
remote_addr: 127.0.0.1
changes:
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object_pk: 1
object_repr: Noah Anderson
timestamp: 2026-06-15 21:59:05.272606
remote_addr: 127.0.0.1
changes:
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object_pk: 1
object_repr: Adam Luis (PEP00) - Lucas Rogers rating 3
timestamp: 2026-06-15 21:59:05.276619
remote_addr: 127.0.0.1
changes:
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object_pk: 1
object_repr: Amelia Hayes -Interview.
timestamp: 2026-06-15 21:59:05.280634
remote_addr: 127.0.0.1
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object_pk: 1
object_repr: Python Question Template
timestamp: 2026-06-15 21:59:05.292673
remote_addr: 127.0.0.1
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object_pk: 2
object_repr: Odoo Developer Template
timestamp: 2026-06-15 21:59:05.293676
remote_addr: 127.0.0.1
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object_pk: 3
object_repr: Django Developer Template
timestamp: 2026-06-15 21:59:05.294679
remote_addr: 127.0.0.1
changes:
  {"description": ["None", "Here are some types of questions you can ask in a Django developer interview exam."], "is_active": ["None", "True"], "id": ["None", "3"], "is_general_template": ["None", "False"], "company_id": ["None", "1"], "title": ["None", "Django Developer Template"], "created_at": ["None", "2025-07-15 04:13:08.737000"], "created_by": ["None", "1"], "modified_by": ["None", "1"]}


object_pk: 1
object_repr: What is Python, and what are its key features?
timestamp: 2026-06-15 21:59:05.297690
remote_addr: 127.0.0.1
changes:
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object_pk: 2
object_repr: What is the difference between a list and a tuple?
timestamp: 2026-06-15 21:59:05.315754
remote_addr: 127.0.0.1
changes:
  {"is_active": ["None", "True"], "id": ["None", "2"], "is_mandatory": ["None", "False"], "question": ["None", "What is the difference between a list and a tuple?"], "sequence": ["None", "0"], "type": ["None", "text"], "options": ["None", ""], "created_at": ["None", "2025-07-17 09:07:14.100000"], "created_by": ["None", "1"], "modified_by": ["None", "1"]}


object_pk: 3
object_repr: Have you worked with Odoo's ORM before ?
timestamp: 2026-06-15 21:59:05.331803
remote_addr: 127.0.0.1
changes:
  {"is_active": ["None", "True"], "id": ["None", "3"], "is_mandatory": ["None", "True"], "question": ["None", "Have you worked with Odoo's ORM before ?"], "sequence": ["None", "0"], "type": ["None", "checkbox"], "options": ["None", ""], "created_at": ["None", "2025-07-15 04:08:37.429000"], "created_by": ["None", "1"], "modified_by": ["None", "1"]}


object_pk: 4
object_repr: Which Odoo module have you worked on the most?
timestamp: 2026-06-15 21:59:05.346353
remote_addr: 127.0.0.1
changes:
  {"is_active": ["None", "True"], "id": ["None", "4"], "is_mandatory": ["None", "True"], "question": ["None", "Which Odoo module have you worked on the most?"], "sequence": ["None", "0"], "type": ["None", "options"], "options": ["None", "Sales, Inventory, Accounting, Human Resources"], "created_at": ["None", "2025-07-15 04:09:33.102000"], "created_by": ["None", "1"], "modified_by": ["None", "1"]}


object_pk: 5
object_repr: Which of the following are key features of OdooÆs ORM?
timestamp: 2026-06-15 21:59:05.360401
remote_addr: 127.0.0.1
changes:
  {"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", "2025-07-15 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: 2026-06-15 21:59:05.375449
remote_addr: 127.0.0.1
changes:
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object_pk: 7
object_repr: How many years of experience do you have working with Odoo?
timestamp: 2026-06-15 21:59:05.390499
remote_addr: 127.0.0.1
changes:
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object_pk: 8
object_repr: Estimate your proficiency with Python in relation to Odoo development (0-100%).
timestamp: 2026-06-15 21:59:05.405548
remote_addr: 127.0.0.1
changes:
  {"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", "2025-07-15 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: 2026-06-15 21:59:05.421602
remote_addr: 127.0.0.1
changes:
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object_pk: 10
object_repr: Have you implemented class-based views (CBVs) in Django?
timestamp: 2026-06-15 21:59:05.435650
remote_addr: 127.0.0.1
changes:
  {"is_active": ["None", "True"], "id": ["None", "10"], "is_mandatory": ["None", "True"], "question": ["None", "Have you implemented class-based views (CBVs) in Django?"], "sequence": ["None", "0"], "type": ["None", "checkbox"], "options": ["None", ""], "created_at": ["None", "2025-07-15 04:13:39.132000"], "created_by": ["None", "1"], "modified_by": ["None", "1"]}


object_pk: 11
object_repr: Which ORM-related tasks have you most frequently used in Django?
timestamp: 2026-06-15 21:59:05.449199
remote_addr: 127.0.0.1
changes:
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object_pk: 12
object_repr: Which of the following are key components of Django's architecture ?
timestamp: 2026-06-15 21:59:05.462239
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: 2026-06-15 21:59:05.477288
remote_addr: 127.0.0.1
changes:
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object_pk: 4
object_repr: Introduction & Orientation
timestamp: 2026-06-15 21:59:05.741189
remote_addr: 127.0.0.1
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object_pk: 5
object_repr: Technical Setup
timestamp: 2026-06-15 21:59:05.752228
remote_addr: 127.0.0.1
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object_pk: 6
object_repr: Training & Knowledge Transfer
timestamp: 2026-06-15 21:59:05.759248
remote_addr: 127.0.0.1
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object_pk: 7
object_repr: First Task Assignment
timestamp: 2026-06-15 21:59:05.769284
remote_addr: 127.0.0.1
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object_pk: 1
object_repr: Notice Period
timestamp: 2026-06-15 21:59:05.987040
remote_addr: 127.0.0.1
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object_pk: 30
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object_pk: 33
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object_pk: 34
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object_pk: 35
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object_pk: 38
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object_repr: Social Media Influvencer | Abigail Roberts (PEP15)
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remote_addr: 127.0.0.1
changes:
  {"key_result_feedback": ["None", "pms.KeyResultFeedback.None"], "key_result": ["None", "Social Media Influvencer"], "employee_objective_id": ["None", "1"], "key_result_id": ["None", "3"], "progress_type": ["None", "%"], "status": ["None", "Not Started"], "created_at": ["None", "2024-09-17"], "id": ["None", "1"], "updated_at": ["None", "2024-09-17"], "start_value": ["None", "0"], "current_value": ["None", "0"], "target_value": ["None", "100"], "progress_percentage": ["None", "0"]}


object_pk: 2
object_repr: Digital Marketing | Abigail Roberts (PEP15)
timestamp: 2026-06-15 21:59:06.479198
remote_addr: 127.0.0.1
changes:
  {"key_result_feedback": ["None", "pms.KeyResultFeedback.None"], "key_result": ["None", "Digital Marketing"], "employee_objective_id": ["None", "1"], "key_result_id": ["None", "2"], "progress_type": ["None", "%"], "status": ["None", "Not Started"], "created_at": ["None", "2024-09-17"], "id": ["None", "2"], "updated_at": ["None", "2024-09-17"], "start_value": ["None", "0"], "current_value": ["None", "0"], "target_value": ["None", "100"], "progress_percentage": ["None", "0"]}


object_pk: 3
object_repr: Contact Customer | Abigail Roberts (PEP15)
timestamp: 2026-06-15 21:59:06.485219
remote_addr: 127.0.0.1
changes:
  {"key_result_feedback": ["None", "pms.KeyResultFeedback.None"], "key_result": ["None", "Contact Customer"], "employee_objective_id": ["None", "1"], "key_result_id": ["None", "1"], "progress_type": ["None", "%"], "status": ["None", "Not Started"], "created_at": ["None", "2024-09-17"], "id": ["None", "3"], "updated_at": ["None", "2024-09-17"], "start_value": ["None", "0"], "current_value": ["None", "0"], "target_value": ["None", "100"], "progress_percentage": ["None", "0"]}


object_pk: 4
object_repr: Social Media Influvencer | Alexander Smith (PEP16)
timestamp: 2026-06-15 21:59:06.489229
remote_addr: 127.0.0.1
changes:
  {"key_result_feedback": ["None", "pms.KeyResultFeedback.None"], "key_result": ["None", "Social Media Influvencer"], "employee_objective_id": ["None", "2"], "key_result_id": ["None", "3"], "progress_type": ["None", "%"], "status": ["None", "Not Started"], "created_at": ["None", "2024-09-17"], "id": ["None", "4"], "updated_at": ["None", "2024-09-17"], "start_value": ["None", "0"], "current_value": ["None", "0"], "target_value": ["None", "100"], "progress_percentage": ["None", "0"]}


object_pk: 5
object_repr: Digital Marketing | Alexander Smith (PEP16)
timestamp: 2026-06-15 21:59:06.492240
remote_addr: 127.0.0.1
changes:
  {"key_result_feedback": ["None", "pms.KeyResultFeedback.None"], "key_result": ["None", "Digital Marketing"], "employee_objective_id": ["None", "2"], "key_result_id": ["None", "2"], "progress_type": ["None", "%"], "status": ["None", "Not Started"], "created_at": ["None", "2024-09-17"], "id": ["None", "5"], "updated_at": ["None", "2024-09-17"], "start_value": ["None", "0"], "current_value": ["None", "0"], "target_value": ["None", "100"], "progress_percentage": ["None", "0"]}


object_pk: 6
object_repr: Contact Customer | Alexander Smith (PEP16)
timestamp: 2026-06-15 21:59:06.497261
remote_addr: 127.0.0.1
changes:
  {"key_result_feedback": ["None", "pms.KeyResultFeedback.None"], "key_result": ["None", "Contact Customer"], "employee_objective_id": ["None", "2"], "key_result_id": ["None", "1"], "progress_type": ["None", "%"], "status": ["None", "Not Started"], "created_at": ["None", "2024-09-17"], "id": ["None", "6"], "updated_at": ["None", "2024-09-17"], "start_value": ["None", "0"], "current_value": ["None", "0"], "target_value": ["None", "100"], "progress_percentage": ["None", "0"]}


object_pk: 7
object_repr: Social Media Influvencer | Andrew Hayes (PEP74)
timestamp: 2026-06-15 21:59:06.502272
remote_addr: 127.0.0.1
changes:
  {"key_result_feedback": ["None", "pms.KeyResultFeedback.None"], "key_result": ["None", "Social Media Influvencer"], "employee_objective_id": ["None", "3"], "key_result_id": ["None", "3"], "progress_type": ["None", "%"], "status": ["None", "Not Started"], "created_at": ["None", "2024-09-17"], "id": ["None", "7"], "updated_at": ["None", "2024-09-17"], "start_value": ["None", "0"], "current_value": ["None", "0"], "target_value": ["None", "100"], "progress_percentage": ["None", "0"]}


object_pk: 8
object_repr: Digital Marketing | Andrew Hayes (PEP74)
timestamp: 2026-06-15 21:59:06.507290
remote_addr: 127.0.0.1
changes:
  {"key_result_feedback": ["None", "pms.KeyResultFeedback.None"], "key_result": ["None", "Digital Marketing"], "employee_objective_id": ["None", "3"], "key_result_id": ["None", "2"], "progress_type": ["None", "%"], "status": ["None", "Not Started"], "created_at": ["None", "2024-09-17"], "id": ["None", "8"], "updated_at": ["None", "2024-09-17"], "start_value": ["None", "0"], "current_value": ["None", "0"], "target_value": ["None", "100"], "progress_percentage": ["None", "0"]}


object_pk: 9
object_repr: Contact Customer | Andrew Hayes (PEP74)
timestamp: 2026-06-15 21:59:06.511303
remote_addr: 127.0.0.1
changes:
  {"key_result_feedback": ["None", "pms.KeyResultFeedback.None"], "key_result": ["None", "Contact Customer"], "employee_objective_id": ["None", "3"], "key_result_id": ["None", "1"], "progress_type": ["None", "%"], "status": ["None", "Not Started"], "created_at": ["None", "2024-09-17"], "id": ["None", "9"], "updated_at": ["None", "2024-09-17"], "start_value": ["None", "0"], "current_value": ["None", "0"], "target_value": ["None", "100"], "progress_percentage": ["None", "0"]}


object_pk: 1
object_repr: Developer Question
timestamp: 2026-06-15 21:59:06.517326
remote_addr: 127.0.0.1
changes:
  {"is_active": ["None", "True"], "question_template": ["None", "Developer Question"], "question": ["None", "pms.Question.None"], "id": ["None", "1"], "feedback_question_template": ["None", "pms.Feedback.None"], "created_at": ["None", "2025-07-10 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: 2026-06-15 21:59:06.525348
remote_addr: 127.0.0.1
changes:
  {"answer_question_id": ["None", "pms.Answer.None"], "question_options": ["None", "pms.QuestionOptions.None"], "is_active": ["None", "True"], "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"], "created_at": ["None", "2025-07-10 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: 2026-06-15 21:59:06.527355
remote_addr: 127.0.0.1
changes:
  {"answer_question_id": ["None", "pms.Answer.None"], "question_options": ["None", "pms.QuestionOptions.None"], "is_active": ["None", "True"], "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"], "created_at": ["None", "2025-07-10 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: 2026-06-15 21:59:06.529365
remote_addr: 127.0.0.1
changes:
  {"answer_question_id": ["None", "pms.Answer.None"], "question_options": ["None", "pms.QuestionOptions.None"], "is_active": ["None", "True"], "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"], "created_at": ["None", "2025-07-10 03:16:18.905000"], "created_by": ["None", "1"], "modified_by": ["None", "1"]}


object_pk: 1
object_repr: QuestionOptions object (1)
timestamp: 2026-06-15 21:59:06.534382
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", "2025-07-10 03:16:18.925000"], "created_by": ["None", "1"], "modified_by": ["None", "1"]}


object_pk: 1
object_repr: Isabella - Isabella Feedback
timestamp: 2026-06-15 21:59:06.539902
remote_addr: 127.0.0.1
changes:
  {"feedback_key_result": ["None", "pms.KeyResultFeedback.None"], "id": ["None", "1"], "review_cycle": ["None", "Isabella Feedback"], "manager_id": ["None", "13"], "employee_id": ["None", "14"], "feedback_answer": ["None", "pms.Answer.None"], "question_template_id": ["None", "1"], "status": ["None", "Not Started"], "archive": ["None", "False"], "start_date": ["None", "2025-07-01"], "end_date": ["None", "2025-07-30"], "created_at": ["None", "2025-07-10 03:17:18.931000"], "cyclic_feedback": ["None", "False"], "is_active": ["None", "True"], "created_by": ["None", "1"], "modified_by": ["None", "1"]}


object_pk: 1
object_repr: Isabella - Isabella Feedback
timestamp: 2026-06-15 21:59:06.548931
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: 2026-06-15 21:59:06.557959
remote_addr: 127.0.0.1
changes:
  {"is_active": ["None", "True"], "question_template": ["None", "1"], "show_response": ["None", "False"], "id": ["None", "1"], "company_id": ["None", "None"], "title": ["None", "Horilla Technical Meeting"], "date": ["None", "2025-07-12 04:30:00"], "meeting_answer": ["None", "pms.MeetingsAnswer.None"], "created_at": ["None", "2025-07-10 03:20:51.009000"], "created_by": ["None", "1"], "modified_by": ["None", "1"]}


object_pk: 1
object_repr: Horilla Technical Meeting
timestamp: 2026-06-15 21:59:06.566993
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: 2026-06-15 21:59:06.584049
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: 2026-06-15 21:59:06.801581
remote_addr: 127.0.0.1
changes:
  {"is_active": ["None", "True"], "contracts": ["None", "payroll.Contract.None"], "id": ["None", "1"], "filing_status": ["None", "Single Filers"], "based_on": ["None", "taxable_gross_pay"], "use_py": ["None", "False"], "python_code": ["None", "\"\"\"\nfederal_tax.py\n\"\"\"\n\nYEARLY_TAXABLE_INCOME = 189000.52\n\n\ndef calculate_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 = calculate_federal_tax(YEARLY_TAXABLE_INCOME)\nprint(\"YEARLY TAXABLE AMOUNT\", month_taxable)"], "description": ["None", ""], "company_id": ["None", "None"], "created_at": ["None", "2025-07-21 08:42:22.725000"], "created_by": ["None", "1"], "modified_by": ["None", "1"]}


object_pk: 2
object_repr: Married Filing Separately(MFS)
timestamp: 2026-06-15 21:59:06.804590
remote_addr: 127.0.0.1
changes:
  {"is_active": ["None", "True"], "contracts": ["None", "payroll.Contract.None"], "id": ["None", "2"], "filing_status": ["None", "Married Filing Separately(MFS)"], "based_on": ["None", "taxable_gross_pay"], "use_py": ["None", "False"], "python_code": ["None", "\"\"\"\nfederal_tax.py\n\"\"\"\n\nYEARLY_TAXABLE_INCOME = 189000.52\n\n\ndef calculate_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 = calculate_federal_tax(YEARLY_TAXABLE_INCOME)\nprint(\"YEARLY TAXABLE AMOUNT\", month_taxable)"], "description": ["None", ""], "company_id": ["None", "None"], "created_at": ["None", "2025-07-21 08:42:28.019000"], "created_by": ["None", "1"], "modified_by": ["None", "1"]}


object_pk: 3
object_repr: Married Filing Jointly (MFJ)
timestamp: 2026-06-15 21:59:06.805593
remote_addr: 127.0.0.1
changes:
  {"is_active": ["None", "True"], "contracts": ["None", "payroll.Contract.None"], "id": ["None", "3"], "filing_status": ["None", "Married Filing Jointly (MFJ)"], "based_on": ["None", "taxable_gross_pay"], "use_py": ["None", "False"], "python_code": ["None", "\"\"\"\nfederal_tax.py\n\"\"\"\n\nYEARLY_TAXABLE_INCOME = 189000.52\n\n\ndef calculate_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 = calculate_federal_tax(YEARLY_TAXABLE_INCOME)\nprint(\"YEARLY TAXABLE AMOUNT\", month_taxable)"], "description": ["None", ""], "company_id": ["None", "None"], "created_at": ["None", "2025-07-21 08:42:34.764000"], "created_by": ["None", "1"], "modified_by": ["None", "1"]}


object_pk: 4
object_repr: Head of Household (HOH)
timestamp: 2026-06-15 21:59:06.807600
remote_addr: 127.0.0.1
changes:
  {"is_active": ["None", "True"], "contracts": ["None", "payroll.Contract.None"], "id": ["None", "4"], "filing_status": ["None", "Head of Household (HOH)"], "based_on": ["None", "taxable_gross_pay"], "use_py": ["None", "False"], "python_code": ["None", "\"\"\"\nfederal_tax.py\n\"\"\"\n\nYEARLY_TAXABLE_INCOME = 189000.52\n\n\ndef calculate_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 = calculate_federal_tax(YEARLY_TAXABLE_INCOME)\nprint(\"YEARLY TAXABLE AMOUNT\", month_taxable)"], "description": ["None", ""], "company_id": ["None", "None"], "created_at": ["None", "2025-07-21 08:42:40.096000"], "created_by": ["None", "1"], "modified_by": ["None", "1"]}


object_pk: 1
object_repr: House Rent Allowance (HRA)
timestamp: 2026-06-15 21:59:06.810611
remote_addr: 127.0.0.1
changes:
  {"title": ["None", "House Rent Allowance (HRA)"], "include_active_employees": ["None", "True"], "is_taxable": ["None", "True"], "is_condition_based": ["None", "False"], "is_fixed": ["None", "False"], "based_on": ["None", "basic_pay"], "rate": ["None", "4.5"], "per_attendance_fixed_amount": ["None", "0.0"], "per_children_fixed_amount": ["None", "0.0"], "shift_id": ["None", "None"], "shift_per_attendance_amount": ["None", "0.0"], "amount_per_one_hr": ["None", "0.0"], "work_type_id": ["None", "None"], "work_type_per_attendance_amount": ["None", "0.0"], "has_max_limit": ["None", "False"], "maximum_unit": ["None", "month_working_days"], "if_choice": ["None", "basic_pay"], "if_condition": ["None", "gt"], "if_amount": ["None", "0.0"], "company_id": ["None", "None"], "only_show_under_employee": ["None", "False"], "is_loan": ["None", "False"], "id": ["None", "1"], "created_at": ["None", "2025-07-21 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: 2026-06-15 21:59:06.820643
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: 2026-06-15 21:59:06.825659
remote_addr: 127.0.0.1
changes:
  {"title": ["None", "Meal Allowance"], "include_active_employees": ["None", "True"], "is_taxable": ["None", "True"], "is_condition_based": ["None", "False"], "is_fixed": ["None", "False"], "based_on": ["None", "work_type_id"], "per_attendance_fixed_amount": ["None", "0.0"], "per_children_fixed_amount": ["None", "0.0"], "shift_id": ["None", "None"], "shift_per_attendance_amount": ["None", "0.0"], "amount_per_one_hr": ["None", "0.0"], "work_type_id": ["None", "1"], "work_type_per_attendance_amount": ["None", "40.0"], "has_max_limit": ["None", "True"], "maximum_amount": ["None", "1500.0"], "maximum_unit": ["None", "month_working_days"], "if_choice": ["None", "basic_pay"], "if_condition": ["None", "gt"], "if_amount": ["None", "0.0"], "company_id": ["None", "None"], "only_show_under_employee": ["None", "False"], "is_loan": ["None", "False"], "id": ["None", "2"], "created_at": ["None", "2025-07-21 08:36:39.003000"], "created_by": ["None", "1"], "modified_by": ["None", "1"], "is_active": ["None", "True"]}


object_pk: 3
object_repr: Education Allowance
timestamp: 2026-06-15 21:59:06.835692
remote_addr: 127.0.0.1
changes:
  {"title": ["None", "Education Allowance"], "include_active_employees": ["None", "False"], "is_taxable": ["None", "True"], "is_condition_based": ["None", "True"], "field": ["None", "children"], "condition": ["None", "lt"], "value": ["None", "3"], "is_fixed": ["None", "False"], "based_on": ["None", "basic_pay"], "rate": ["None", "10.0"], "per_attendance_fixed_amount": ["None", "0.0"], "per_children_fixed_amount": ["None", "0.0"], "shift_id": ["None", "None"], "shift_per_attendance_amount": ["None", "0.0"], "amount_per_one_hr": ["None", "0.0"], "work_type_id": ["None", "None"], "work_type_per_attendance_amount": ["None", "0.0"], "has_max_limit": ["None", "False"], "maximum_unit": ["None", "month_working_days"], "if_choice": ["None", "basic_pay"], "if_condition": ["None", "gt"], "if_amount": ["None", "0.0"], "company_id": ["None", "None"], "only_show_under_employee": ["None", "False"], "is_loan": ["None", "False"], "id": ["None", "3"], "created_at": ["None", "2025-07-21 08:37:32.308000"], "created_by": ["None", "1"], "modified_by": ["None", "1"], "is_active": ["None", "True"]}


object_pk: 4
object_repr: Emergency Loan
timestamp: 2026-06-15 21:59:06.842212
remote_addr: 127.0.0.1
changes:
  {"title": ["None", "Emergency Loan"], "one_time_date": ["None", "2025-07-10"], "include_active_employees": ["None", "False"], "is_taxable": ["None", "True"], "is_condition_based": ["None", "False"], "is_fixed": ["None", "True"], "amount": ["None", "54000.0"], "based_on": ["None", "basic_pay"], "per_attendance_fixed_amount": ["None", "0.0"], "per_children_fixed_amount": ["None", "0.0"], "shift_id": ["None", "None"], "shift_per_attendance_amount": ["None", "0.0"], "amount_per_one_hr": ["None", "0.0"], "work_type_id": ["None", "None"], "work_type_per_attendance_amount": ["None", "0.0"], "has_max_limit": ["None", "False"], "maximum_unit": ["None", "month_working_days"], "if_choice": ["None", "basic_pay"], "if_condition": ["None", "gt"], "if_amount": ["None", "0.0"], "company_id": ["None", "None"], "only_show_under_employee": ["None", "True"], "is_loan": ["None", "True"], "id": ["None", "4"], "created_at": ["None", "2025-07-21 08:40:56.185000"], "created_by": ["None", "1"], "modified_by": ["None", "1"], "is_active": ["None", "True"]}


object_pk: 1
object_repr: Provident Fund (PF)
timestamp: 2026-06-15 21:59:06.857262
remote_addr: 127.0.0.1
changes:
  {"title": ["None", "Provident Fund (PF)"], "include_active_employees": ["None", "True"], "is_tax": ["None", "False"], "is_pretax": ["None", "True"], "is_condition_based": ["None", "False"], "is_fixed": ["None", "False"], "based_on": ["None", "basic_pay"], "rate": ["None", "12.0"], "employer_rate": ["None", "0.0"], "has_max_limit": ["None", "False"], "maximum_unit": ["None", "month_working_days"], "if_choice": ["None", "basic_pay"], "if_condition": ["None", "gt"], "if_amount": ["None", "0.0"], "company_id": ["None", "None"], "only_show_under_employee": ["None", "False"], "is_installment": ["None", "False"], "id": ["None", "1"], "created_at": ["None", "2025-07-21 08:38:13.177000"], "created_by": ["None", "1"], "modified_by": ["None", "1"], "is_active": ["None", "True"]}


object_pk: 2
object_repr: Professional Tax
timestamp: 2026-06-15 21:59:06.867298
remote_addr: 127.0.0.1
changes:
  {"title": ["None", "Professional Tax"], "include_active_employees": ["None", "True"], "is_tax": ["None", "False"], "is_pretax": ["None", "True"], "is_condition_based": ["None", "False"], "is_fixed": ["None", "False"], "based_on": ["None", "basic_pay"], "rate": ["None", "2.0"], "employer_rate": ["None", "0.0"], "has_max_limit": ["None", "False"], "maximum_unit": ["None", "month_working_days"], "if_choice": ["None", "basic_pay"], "if_condition": ["None", "gt"], "if_amount": ["None", "23000.0"], "company_id": ["None", "None"], "only_show_under_employee": ["None", "False"], "is_installment": ["None", "False"], "id": ["None", "2"], "created_at": ["None", "2025-07-21 08:38:56.869000"], "created_by": ["None", "1"], "modified_by": ["None", "1"], "is_active": ["None", "True"]}


object_pk: 3
object_repr: ESI
timestamp: 2026-06-15 21:59:06.873315
remote_addr: 127.0.0.1
changes:
  {"title": ["None", "ESI"], "include_active_employees": ["None", "True"], "is_tax": ["None", "False"], "is_pretax": ["None", "True"], "is_condition_based": ["None", "False"], "is_fixed": ["None", "False"], "based_on": ["None", "basic_pay"], "rate": ["None", "0.75"], "employer_rate": ["None", "2.25"], "has_max_limit": ["None", "False"], "maximum_unit": ["None", "month_working_days"], "if_choice": ["None", "basic_pay"], "if_condition": ["None", "lt"], "if_amount": ["None", "21000.0"], "company_id": ["None", "None"], "only_show_under_employee": ["None", "False"], "is_installment": ["None", "False"], "id": ["None", "3"], "created_at": ["None", "2025-07-21 08:39:35.476000"], "created_by": ["None", "1"], "modified_by": ["None", "1"], "is_active": ["None", "True"]}


object_pk: 4
object_repr: Emergency Loan - 2025-07-01
timestamp: 2026-06-15 21:59:06.880345
remote_addr: 127.0.0.1
changes:
  {"title": ["None", "Emergency Loan - 2025-07-01"], "one_time_date": ["None", "2025-07-01"], "include_active_employees": ["None", "False"], "is_tax": ["None", "False"], "is_pretax": ["None", "True"], "is_condition_based": ["None", "False"], "is_fixed": ["None", "True"], "amount": ["None", "3000.0"], "rate": ["None", "0.0"], "employer_rate": ["None", "0.0"], "has_max_limit": ["None", "False"], "maximum_unit": ["None", "month_working_days"], "if_choice": ["None", "basic_pay"], "if_condition": ["None", "gt"], "if_amount": ["None", "0.0"], "company_id": ["None", "None"], "only_show_under_employee": ["None", "True"], "is_installment": ["None", "True"], "id": ["None", "4"], "created_at": ["None", "2025-07-21 08:40:56.257000"], "created_by": ["None", "1"], "modified_by": ["None", "1"], "is_active": ["None", "True"]}


object_pk: 5
object_repr: Emergency Loan - 2025-07-01
timestamp: 2026-06-15 21:59:06.892378
remote_addr: 127.0.0.1
changes:
  {"title": ["None", "Emergency Loan - 2025-07-01"], "one_time_date": ["None", "2025-07-01"], "include_active_employees": ["None", "False"], "is_tax": ["None", "False"], "is_pretax": ["None", "True"], "is_condition_based": ["None", "False"], "is_fixed": ["None", "True"], "amount": ["None", "3000.0"], "rate": ["None", "0.0"], "employer_rate": ["None", "0.0"], "has_max_limit": ["None", "False"], "maximum_unit": ["None", "month_working_days"], "if_choice": ["None", "basic_pay"], "if_condition": ["None", "gt"], "if_amount": ["None", "0.0"], "company_id": ["None", "None"], "only_show_under_employee": ["None", "True"], "is_installment": ["None", "True"], "id": ["None", "5"], "created_at": ["None", "2025-07-21 08:40:56.311000"], "created_by": ["None", "1"], "modified_by": ["None", "1"], "is_active": ["None", "True"]}


object_pk: 6
object_repr: Emergency Loan - 2025-07-01
timestamp: 2026-06-15 21:59:06.904418
remote_addr: 127.0.0.1
changes:
  {"title": ["None", "Emergency Loan - 2025-07-01"], "one_time_date": ["None", "2025-07-01"], "include_active_employees": ["None", "False"], "is_tax": ["None", "False"], "is_pretax": ["None", "True"], "is_condition_based": ["None", "False"], "is_fixed": ["None", "True"], "amount": ["None", "3000.0"], "rate": ["None", "0.0"], "employer_rate": ["None", "0.0"], "has_max_limit": ["None", "False"], "maximum_unit": ["None", "month_working_days"], "if_choice": ["None", "basic_pay"], "if_condition": ["None", "gt"], "if_amount": ["None", "0.0"], "company_id": ["None", "None"], "only_show_under_employee": ["None", "True"], "is_installment": ["None", "True"], "id": ["None", "6"], "created_at": ["None", "2025-07-21 08:40:56.359000"], "created_by": ["None", "1"], "modified_by": ["None", "1"], "is_active": ["None", "True"]}


object_pk: 7
object_repr: Emergency Loan - 2025-02-01
timestamp: 2026-06-15 21:59:06.917462
remote_addr: 127.0.0.1
changes:
  {"title": ["None", "Emergency Loan - 2025-02-01"], "one_time_date": ["None", "2025-02-01"], "include_active_employees": ["None", "False"], "is_tax": ["None", "False"], "is_pretax": ["None", "True"], "is_condition_based": ["None", "False"], "is_fixed": ["None", "True"], "amount": ["None", "3000.0"], "rate": ["None", "0.0"], "employer_rate": ["None", "0.0"], "has_max_limit": ["None", "False"], "maximum_unit": ["None", "month_working_days"], "if_choice": ["None", "basic_pay"], "if_condition": ["None", "gt"], "if_amount": ["None", "0.0"], "company_id": ["None", "None"], "only_show_under_employee": ["None", "True"], "is_installment": ["None", "True"], "id": ["None", "7"], "created_at": ["None", "2025-07-21 08:40:56.407000"], "created_by": ["None", "1"], "modified_by": ["None", "1"], "is_active": ["None", "True"]}


object_pk: 8
object_repr: Emergency Loan - 2025-07-01
timestamp: 2026-06-15 21:59:06.926490
remote_addr: 127.0.0.1
changes:
  {"title": ["None", "Emergency Loan - 2025-07-01"], "one_time_date": ["None", "2025-07-01"], "include_active_employees": ["None", "False"], "is_tax": ["None", "False"], "is_pretax": ["None", "True"], "is_condition_based": ["None", "False"], "is_fixed": ["None", "True"], "amount": ["None", "3000.0"], "rate": ["None", "0.0"], "employer_rate": ["None", "0.0"], "has_max_limit": ["None", "False"], "maximum_unit": ["None", "month_working_days"], "if_choice": ["None", "basic_pay"], "if_condition": ["None", "gt"], "if_amount": ["None", "0.0"], "company_id": ["None", "None"], "only_show_under_employee": ["None", "True"], "is_installment": ["None", "True"], "id": ["None", "8"], "created_at": ["None", "2025-07-21 08:40:56.455000"], "created_by": ["None", "1"], "modified_by": ["None", "1"], "is_active": ["None", "True"]}


object_pk: 9
object_repr: Emergency Loan - 2025-04-01
timestamp: 2026-06-15 21:59:06.940042
remote_addr: 127.0.0.1
changes:
  {"title": ["None", "Emergency Loan - 2025-04-01"], "one_time_date": ["None", "2025-04-01"], "include_active_employees": ["None", "False"], "is_tax": ["None", "False"], "is_pretax": ["None", "True"], "is_condition_based": ["None", "False"], "is_fixed": ["None", "True"], "amount": ["None", "3000.0"], "rate": ["None", "0.0"], "employer_rate": ["None", "0.0"], "has_max_limit": ["None", "False"], "maximum_unit": ["None", "month_working_days"], "if_choice": ["None", "basic_pay"], "if_condition": ["None", "gt"], "if_amount": ["None", "0.0"], "company_id": ["None", "None"], "only_show_under_employee": ["None", "True"], "is_installment": ["None", "True"], "id": ["None", "9"], "created_at": ["None", "2025-07-21 08:40:56.506000"], "created_by": ["None", "1"], "modified_by": ["None", "1"], "is_active": ["None", "True"]}


object_pk: 10
object_repr: Emergency Loan - 2025-05-01
timestamp: 2026-06-15 21:59:06.953082
remote_addr: 127.0.0.1
changes:
  {"title": ["None", "Emergency Loan - 2025-05-01"], "one_time_date": ["None", "2025-05-01"], "include_active_employees": ["None", "False"], "is_tax": ["None", "False"], "is_pretax": ["None", "True"], "is_condition_based": ["None", "False"], "is_fixed": ["None", "True"], "amount": ["None", "3000.0"], "rate": ["None", "0.0"], "employer_rate": ["None", "0.0"], "has_max_limit": ["None", "False"], "maximum_unit": ["None", "month_working_days"], "if_choice": ["None", "basic_pay"], "if_condition": ["None", "gt"], "if_amount": ["None", "0.0"], "company_id": ["None", "None"], "only_show_under_employee": ["None", "True"], "is_installment": ["None", "True"], "id": ["None", "10"], "created_at": ["None", "2025-07-21 08:40:56.557000"], "created_by": ["None", "1"], "modified_by": ["None", "1"], "is_active": ["None", "True"]}


object_pk: 11
object_repr: Emergency Loan - 2025-07-01
timestamp: 2026-06-15 21:59:06.965124
remote_addr: 127.0.0.1
changes:
  {"title": ["None", "Emergency Loan - 2025-07-01"], "one_time_date": ["None", "2025-07-01"], "include_active_employees": ["None", "False"], "is_tax": ["None", "False"], "is_pretax": ["None", "True"], "is_condition_based": ["None", "False"], "is_fixed": ["None", "True"], "amount": ["None", "3000.0"], "rate": ["None", "0.0"], "employer_rate": ["None", "0.0"], "has_max_limit": ["None", "False"], "maximum_unit": ["None", "month_working_days"], "if_choice": ["None", "basic_pay"], "if_condition": ["None", "gt"], "if_amount": ["None", "0.0"], "company_id": ["None", "None"], "only_show_under_employee": ["None", "True"], "is_installment": ["None", "True"], "id": ["None", "11"], "created_at": ["None", "2025-07-21 08:40:56.608000"], "created_by": ["None", "1"], "modified_by": ["None", "1"], "is_active": ["None", "True"]}


object_pk: 12
object_repr: Emergency Loan - 2025-07-01
timestamp: 2026-06-15 21:59:06.976158
remote_addr: 127.0.0.1
changes:
  {"title": ["None", "Emergency Loan - 2025-07-01"], "one_time_date": ["None", "2025-07-01"], "include_active_employees": ["None", "False"], "is_tax": ["None", "False"], "is_pretax": ["None", "True"], "is_condition_based": ["None", "False"], "is_fixed": ["None", "True"], "amount": ["None", "3000.0"], "rate": ["None", "0.0"], "employer_rate": ["None", "0.0"], "has_max_limit": ["None", "False"], "maximum_unit": ["None", "month_working_days"], "if_choice": ["None", "basic_pay"], "if_condition": ["None", "gt"], "if_amount": ["None", "0.0"], "company_id": ["None", "None"], "only_show_under_employee": ["None", "True"], "is_installment": ["None", "True"], "id": ["None", "12"], "created_at": ["None", "2025-07-21 08:40:56.657000"], "created_by": ["None", "1"], "modified_by": ["None", "1"], "is_active": ["None", "True"]}


object_pk: 13
object_repr: Emergency Loan - 2025-08-01
timestamp: 2026-06-15 21:59:06.989202
remote_addr: 127.0.0.1
changes:
  {"title": ["None", "Emergency Loan - 2025-08-01"], "one_time_date": ["None", "2025-08-01"], "include_active_employees": ["None", "False"], "is_tax": ["None", "False"], "is_pretax": ["None", "True"], "is_condition_based": ["None", "False"], "is_fixed": ["None", "True"], "amount": ["None", "3000.0"], "rate": ["None", "0.0"], "employer_rate": ["None", "0.0"], "has_max_limit": ["None", "False"], "maximum_unit": ["None", "month_working_days"], "if_choice": ["None", "basic_pay"], "if_condition": ["None", "gt"], "if_amount": ["None", "0.0"], "company_id": ["None", "None"], "only_show_under_employee": ["None", "True"], "is_installment": ["None", "True"], "id": ["None", "13"], "created_at": ["None", "2025-07-21 08:40:56.708000"], "created_by": ["None", "1"], "modified_by": ["None", "1"], "is_active": ["None", "True"]}


object_pk: 14
object_repr: Emergency Loan - 2025-12-01
timestamp: 2026-06-15 21:59:07.001242
remote_addr: 127.0.0.1
changes:
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