From 87fd93e0695b75f2f9d8a4222d8d0d161a90850e Mon Sep 17 00:00:00 2001 From: Horilla Date: Mon, 23 Sep 2024 12:43:57 +0530 Subject: [PATCH] [UPDT] LOAD DATA: Updated load data json files --- load_data/base_data.json | 42 +- load_data/employee_info_data.json | 2041 +++++++++++++++++++++++++++-- load_data/leave_data.json | 26 +- load_data/payroll_data.json | 1521 +++++++++++++++++++++ load_data/user_data.json | 890 ++++++++++++- load_data/work_info_data.json | 1731 +++++++++++++++++++++--- 6 files changed, 5994 insertions(+), 257 deletions(-) create mode 100644 load_data/payroll_data.json diff --git a/load_data/base_data.json b/load_data/base_data.json index 3872b540c..9607cb05b 100644 --- a/load_data/base_data.json +++ b/load_data/base_data.json @@ -27,7 +27,7 @@ "created_by": 1, "modified_by": 1, "is_active": false, - "company": "Horilla Next Inc.", + "company": "Horilla Inc.", "hq": false, "address": "The Estate , 8th Floor", "country": "India", @@ -119,6 +119,18 @@ "company_id": [] } }, + { + "model": "base.department", + "pk": 6, + "fields": { + "created_at": "2024-09-21T09:20:48.130Z", + "created_by": 1, + "modified_by": 1, + "is_active": true, + "department": "Managers", + "company_id": [1] + } + }, { "model": "base.jobposition", "pk": 1, @@ -418,6 +430,19 @@ "company_id": [] } }, + { + "model": "base.jobposition", + "pk": 24, + "fields": { + "created_at": "2024-09-21T09:21:05.334Z", + "created_by": 1, + "modified_by": 1, + "is_active": true, + "job_position": "Senoir Manager", + "department_id": 6, + "company_id": [] + } + }, { "model": "base.jobrole", "pk": 1, @@ -1003,6 +1028,19 @@ "company_id": [] } }, + { + "model": "base.jobrole", + "pk": 46, + "fields": { + "created_at": "2024-09-21T09:21:23.481Z", + "created_by": 1, + "modified_by": 1, + "is_active": true, + "job_position_id": 24, + "job_role": "Senior", + "company_id": [] + } + }, { "model": "base.worktype", "pk": 1, @@ -2528,7 +2566,7 @@ { "model": "base.biometricattendance", "pk": 1, - "fields": { "is_installed": true, "company_id": null } + "fields": { "is_installed": false, "company_id": null } }, { "model": "base.holidays", diff --git a/load_data/employee_info_data.json b/load_data/employee_info_data.json index b1e496ffe..3fcdf7196 100644 --- a/load_data/employee_info_data.json +++ b/load_data/employee_info_data.json @@ -3,7 +3,7 @@ "model": "employee.employee", "pk": 1, "fields": { - "badge_id": null, + "badge_id": "PEP00", "employee_user_id": 1, "employee_first_name": "Adam", "employee_last_name": "Luis", @@ -32,7 +32,7 @@ "model": "employee.employee", "pk": 2, "fields": { - "badge_id": "#PEP01", + "badge_id": "PEP01", "employee_user_id": 3, "employee_first_name": "Michael", "employee_last_name": "Brown", @@ -61,7 +61,7 @@ "model": "employee.employee", "pk": 3, "fields": { - "badge_id": "#PEP02", + "badge_id": "PEP02", "employee_user_id": 4, "employee_first_name": "Sarah", "employee_last_name": "Anderson", @@ -90,7 +90,7 @@ "model": "employee.employee", "pk": 4, "fields": { - "badge_id": "#PEP03", + "badge_id": "PEP03", "employee_user_id": 5, "employee_first_name": "Emily", "employee_last_name": "Clark", @@ -119,7 +119,7 @@ "model": "employee.employee", "pk": 5, "fields": { - "badge_id": "#PEP05", + "badge_id": "PEP05", "employee_user_id": 6, "employee_first_name": "Jessica", "employee_last_name": "Evans", @@ -148,7 +148,7 @@ "model": "employee.employee", "pk": 6, "fields": { - "badge_id": "#PEP08", + "badge_id": "PEP08", "employee_user_id": 7, "employee_first_name": "Matthew", "employee_last_name": "Harris", @@ -177,7 +177,7 @@ "model": "employee.employee", "pk": 7, "fields": { - "badge_id": "#PEP10", + "badge_id": "PEP10", "employee_user_id": 8, "employee_first_name": "David", "employee_last_name": "King", @@ -206,7 +206,7 @@ "model": "employee.employee", "pk": 8, "fields": { - "badge_id": "#PEP11", + "badge_id": "PEP11", "employee_user_id": 9, "employee_first_name": "Emma", "employee_last_name": "Lee", @@ -235,7 +235,7 @@ "model": "employee.employee", "pk": 9, "fields": { - "badge_id": "#PEP12", + "badge_id": "PEP12", "employee_user_id": 10, "employee_first_name": "Christopher", "employee_last_name": "Miller", @@ -264,7 +264,7 @@ "model": "employee.employee", "pk": 10, "fields": { - "badge_id": "#PEP13", + "badge_id": "PEP13", "employee_user_id": 11, "employee_first_name": "Mia", "employee_last_name": "Nelson", @@ -293,7 +293,7 @@ "model": "employee.employee", "pk": 11, "fields": { - "badge_id": "#PEP14", + "badge_id": "PEP14", "employee_user_id": 12, "employee_first_name": "Benjamin", "employee_last_name": "Parker", @@ -322,7 +322,7 @@ "model": "employee.employee", "pk": 12, "fields": { - "badge_id": "#PEP15", + "badge_id": "PEP15", "employee_user_id": 13, "employee_first_name": "Abigail", "employee_last_name": "Roberts", @@ -351,7 +351,7 @@ "model": "employee.employee", "pk": 13, "fields": { - "badge_id": "#PEP16", + "badge_id": "PEP16", "employee_user_id": 14, "employee_first_name": "Alexander", "employee_last_name": "Smith", @@ -380,7 +380,7 @@ "model": "employee.employee", "pk": 14, "fields": { - "badge_id": "#PEP17", + "badge_id": "PEP17", "employee_user_id": 15, "employee_first_name": "Isabella", "employee_last_name": "Thompson", @@ -409,7 +409,7 @@ "model": "employee.employee", "pk": 15, "fields": { - "badge_id": "#PEP18", + "badge_id": "PEP18", "employee_user_id": 16, "employee_first_name": "Jacob", "employee_last_name": "Walker", @@ -438,7 +438,7 @@ "model": "employee.employee", "pk": 16, "fields": { - "badge_id": "#PEP19", + "badge_id": "PEP19", "employee_user_id": 17, "employee_first_name": "Charlotte", "employee_last_name": "White", @@ -467,7 +467,7 @@ "model": "employee.employee", "pk": 17, "fields": { - "badge_id": "#PEP20", + "badge_id": "PEP20", "employee_user_id": 18, "employee_first_name": "Noah", "employee_last_name": "Young", @@ -496,7 +496,7 @@ "model": "employee.employee", "pk": 18, "fields": { - "badge_id": "#PEP21", + "badge_id": "PEP21", "employee_user_id": 19, "employee_first_name": "Grace", "employee_last_name": "Allen", @@ -525,7 +525,7 @@ "model": "employee.employee", "pk": 19, "fields": { - "badge_id": "#PEP22", + "badge_id": "PEP22", "employee_user_id": 20, "employee_first_name": "Samuel", "employee_last_name": "Baker", @@ -554,7 +554,7 @@ "model": "employee.employee", "pk": 20, "fields": { - "badge_id": "#PEP23", + "badge_id": "PEP23", "employee_user_id": 21, "employee_first_name": "Lily", "employee_last_name": "Campbell", @@ -583,7 +583,7 @@ "model": "employee.employee", "pk": 21, "fields": { - "badge_id": "#PEP24", + "badge_id": "PEP24", "employee_user_id": 22, "employee_first_name": "Lucas", "employee_last_name": "Carter", @@ -612,7 +612,7 @@ "model": "employee.employee", "pk": 22, "fields": { - "badge_id": "#PEP25", + "badge_id": "PEP25", "employee_user_id": 23, "employee_first_name": "Amelia", "employee_last_name": "Cooper", @@ -641,7 +641,7 @@ "model": "employee.employee", "pk": 23, "fields": { - "badge_id": "#PEP26", + "badge_id": "PEP26", "employee_user_id": 24, "employee_first_name": "Mason", "employee_last_name": "Diaz", @@ -670,7 +670,7 @@ "model": "employee.employee", "pk": 24, "fields": { - "badge_id": "#PEP27", + "badge_id": "PEP27", "employee_user_id": 25, "employee_first_name": "Harper", "employee_last_name": "Edwards", @@ -699,7 +699,7 @@ "model": "employee.employee", "pk": 25, "fields": { - "badge_id": "#PEP28", + "badge_id": "PEP28", "employee_user_id": 26, "employee_first_name": "Logan", "employee_last_name": "Flores", @@ -728,7 +728,7 @@ "model": "employee.employee", "pk": 26, "fields": { - "badge_id": "#PEP29", + "badge_id": "PEP29", "employee_user_id": 27, "employee_first_name": "Evelyn", "employee_last_name": "Garcia", @@ -757,7 +757,7 @@ "model": "employee.employee", "pk": 27, "fields": { - "badge_id": "#PEP30", + "badge_id": "PEP30", "employee_user_id": 28, "employee_first_name": "Ethan", "employee_last_name": "Gonzalez", @@ -786,7 +786,7 @@ "model": "employee.employee", "pk": 28, "fields": { - "badge_id": "#PEP31", + "badge_id": "PEP31", "employee_user_id": 29, "employee_first_name": "Avery", "employee_last_name": "Hill", @@ -815,7 +815,7 @@ "model": "employee.employee", "pk": 29, "fields": { - "badge_id": "#PEP32", + "badge_id": "PEP32", "employee_user_id": 30, "employee_first_name": "William", "employee_last_name": "Hughes", @@ -844,7 +844,7 @@ "model": "employee.employee", "pk": 30, "fields": { - "badge_id": "#PEP33", + "badge_id": "PEP33", "employee_user_id": 31, "employee_first_name": "Ella", "employee_last_name": "Jackson", @@ -873,7 +873,7 @@ "model": "employee.employee", "pk": 31, "fields": { - "badge_id": "#PEP34", + "badge_id": "PEP34", "employee_user_id": 32, "employee_first_name": "Owen", "employee_last_name": "Jenkins", @@ -902,7 +902,7 @@ "model": "employee.employee", "pk": 32, "fields": { - "badge_id": "#PEP35", + "badge_id": "PEP35", "employee_user_id": 33, "employee_first_name": "Madison", "employee_last_name": "Kelly", @@ -931,7 +931,7 @@ "model": "employee.employee", "pk": 33, "fields": { - "badge_id": "#PEP36", + "badge_id": "PEP36", "employee_user_id": 34, "employee_first_name": "Henry", "employee_last_name": "Lewis", @@ -960,7 +960,7 @@ "model": "employee.employee", "pk": 34, "fields": { - "badge_id": "#PEP37", + "badge_id": "PEP37", "employee_user_id": 35, "employee_first_name": "Scarlett", "employee_last_name": "Martinez", @@ -989,7 +989,7 @@ "model": "employee.employee", "pk": 35, "fields": { - "badge_id": "#PEP38", + "badge_id": "PEP38", "employee_user_id": 36, "employee_first_name": "Sebastian", "employee_last_name": "Mitchell", @@ -1018,7 +1018,7 @@ "model": "employee.employee", "pk": 36, "fields": { - "badge_id": "#PEP39", + "badge_id": "PEP39", "employee_user_id": 37, "employee_first_name": "Chloe", "employee_last_name": "Morgan", @@ -1047,7 +1047,7 @@ "model": "employee.employee", "pk": 37, "fields": { - "badge_id": "#PEP40", + "badge_id": "PEP40", "employee_user_id": 38, "employee_first_name": "Aiden", "employee_last_name": "Murphy", @@ -1076,7 +1076,7 @@ "model": "employee.employee", "pk": 38, "fields": { - "badge_id": "#PEP41", + "badge_id": "PEP41", "employee_user_id": 39, "employee_first_name": "Mila", "employee_last_name": "Perez", @@ -1105,7 +1105,7 @@ "model": "employee.employee", "pk": 39, "fields": { - "badge_id": "#PEP42", + "badge_id": "PEP42", "employee_user_id": 40, "employee_first_name": "Gabriel", "employee_last_name": "Phillips", @@ -1134,7 +1134,7 @@ "model": "employee.employee", "pk": 40, "fields": { - "badge_id": "#PEP43", + "badge_id": "PEP43", "employee_user_id": 41, "employee_first_name": "Aria", "employee_last_name": "Powell", @@ -1163,7 +1163,7 @@ "model": "employee.employee", "pk": 41, "fields": { - "badge_id": "#PEP44", + "badge_id": "PEP44", "employee_user_id": 42, "employee_first_name": "Wyatt", "employee_last_name": "Ramirez", @@ -1192,7 +1192,7 @@ "model": "employee.employee", "pk": 42, "fields": { - "badge_id": "#PEP45", + "badge_id": "PEP45", "employee_user_id": 43, "employee_first_name": "Nora", "employee_last_name": "Reed", @@ -1221,7 +1221,7 @@ "model": "employee.employee", "pk": 43, "fields": { - "badge_id": "#PEP46", + "badge_id": "PEP46", "employee_user_id": 44, "employee_first_name": "Jack", "employee_last_name": "Rivera", @@ -1250,7 +1250,7 @@ "model": "employee.employee", "pk": 44, "fields": { - "badge_id": "#PEP47", + "badge_id": "PEP47", "employee_user_id": 45, "employee_first_name": "Ellie", "employee_last_name": "Rogers", @@ -1279,7 +1279,7 @@ "model": "employee.employee", "pk": 45, "fields": { - "badge_id": "#PEP48", + "badge_id": "PEP48", "employee_user_id": 46, "employee_first_name": "Levi", "employee_last_name": "Sanders", @@ -1308,7 +1308,7 @@ "model": "employee.employee", "pk": 46, "fields": { - "badge_id": "#PEP49", + "badge_id": "PEP49", "employee_user_id": 47, "employee_first_name": "Penelope", "employee_last_name": "Scott", @@ -1337,7 +1337,7 @@ "model": "employee.employee", "pk": 47, "fields": { - "badge_id": "#PEP50", + "badge_id": "PEP50", "employee_user_id": 48, "employee_first_name": "Carter", "employee_last_name": "Stewart", @@ -1366,7 +1366,7 @@ "model": "employee.employee", "pk": 48, "fields": { - "badge_id": "#PEP53", + "badge_id": "PEP53", "employee_user_id": 49, "employee_first_name": "Victoria", "employee_last_name": "Turner", @@ -1395,7 +1395,7 @@ "model": "employee.employee", "pk": 49, "fields": { - "badge_id": "#PEP55", + "badge_id": "PEP55", "employee_user_id": 50, "employee_first_name": "Zoey", "employee_last_name": "Watson", @@ -1424,7 +1424,7 @@ "model": "employee.employee", "pk": 50, "fields": { - "badge_id": "#PEP56", + "badge_id": "PEP56", "employee_user_id": 51, "employee_first_name": "Nathaniel", "employee_last_name": "Wright", @@ -1453,7 +1453,7 @@ "model": "employee.employee", "pk": 51, "fields": { - "badge_id": "#PEP57", + "badge_id": "PEP57", "employee_user_id": 52, "employee_first_name": "Hazel", "employee_last_name": "Adams", @@ -1482,7 +1482,7 @@ "model": "employee.employee", "pk": 52, "fields": { - "badge_id": "#PEP58", + "badge_id": "PEP58", "employee_user_id": 53, "employee_first_name": "Julian", "employee_last_name": "Barnes", @@ -1511,7 +1511,7 @@ "model": "employee.employee", "pk": 53, "fields": { - "badge_id": "#PEP59", + "badge_id": "PEP59", "employee_user_id": 54, "employee_first_name": "Stella", "employee_last_name": "Bell", @@ -1540,7 +1540,7 @@ "model": "employee.employee", "pk": 54, "fields": { - "badge_id": "#PEP60", + "badge_id": "PEP60", "employee_user_id": 55, "employee_first_name": "Ryan", "employee_last_name": "Bennett", @@ -1569,7 +1569,7 @@ "model": "employee.employee", "pk": 55, "fields": { - "badge_id": "#PEP61", + "badge_id": "PEP61", "employee_user_id": 56, "employee_first_name": "Hannah", "employee_last_name": "Brooks", @@ -1598,7 +1598,7 @@ "model": "employee.employee", "pk": 56, "fields": { - "badge_id": "#PEP62", + "badge_id": "PEP62", "employee_user_id": 57, "employee_first_name": "Hunter", "employee_last_name": "Butler", @@ -1627,7 +1627,7 @@ "model": "employee.employee", "pk": 57, "fields": { - "badge_id": "#PEP63", + "badge_id": "PEP63", "employee_user_id": 58, "employee_first_name": "Ruby", "employee_last_name": "Cook", @@ -1656,7 +1656,7 @@ "model": "employee.employee", "pk": 58, "fields": { - "badge_id": "#PEP64", + "badge_id": "PEP64", "employee_user_id": 59, "employee_first_name": "Elijah", "employee_last_name": "Cox", @@ -1685,7 +1685,7 @@ "model": "employee.employee", "pk": 59, "fields": { - "badge_id": "#PEP65", + "badge_id": "PEP65", "employee_user_id": 60, "employee_first_name": "Lucy", "employee_last_name": "Cruz", @@ -1714,7 +1714,7 @@ "model": "employee.employee", "pk": 60, "fields": { - "badge_id": "#PEP66", + "badge_id": "PEP66", "employee_user_id": 61, "employee_first_name": "Joseph", "employee_last_name": "Diaz", @@ -1743,7 +1743,7 @@ "model": "employee.employee", "pk": 61, "fields": { - "badge_id": "#PEP67", + "badge_id": "PEP67", "employee_user_id": 62, "employee_first_name": "Sadie", "employee_last_name": "Ellis", @@ -1772,7 +1772,7 @@ "model": "employee.employee", "pk": 62, "fields": { - "badge_id": "#PEP68", + "badge_id": "PEP68", "employee_user_id": 63, "employee_first_name": "Caleb", "employee_last_name": "Fisher", @@ -1801,7 +1801,7 @@ "model": "employee.employee", "pk": 63, "fields": { - "badge_id": "#PEP69", + "badge_id": "PEP69", "employee_user_id": 64, "employee_first_name": "Alice", "employee_last_name": "Foster", @@ -1830,7 +1830,7 @@ "model": "employee.employee", "pk": 64, "fields": { - "badge_id": "#PEP70", + "badge_id": "PEP70", "employee_user_id": 65, "employee_first_name": "Nicholas", "employee_last_name": "George", @@ -1859,7 +1859,7 @@ "model": "employee.employee", "pk": 65, "fields": { - "badge_id": "#PEP71", + "badge_id": "PEP71", "employee_user_id": 66, "employee_first_name": "Layla", "employee_last_name": "Gonzales", @@ -1888,7 +1888,7 @@ "model": "employee.employee", "pk": 66, "fields": { - "badge_id": "#PEP72", + "badge_id": "PEP72", "employee_user_id": 67, "employee_first_name": "Jonathan", "employee_last_name": "Gray", @@ -1917,7 +1917,7 @@ "model": "employee.employee", "pk": 67, "fields": { - "badge_id": "#PEP73", + "badge_id": "PEP73", "employee_user_id": 68, "employee_first_name": "Violet", "employee_last_name": "Griffin", @@ -1946,7 +1946,7 @@ "model": "employee.employee", "pk": 68, "fields": { - "badge_id": "#PEP74", + "badge_id": "PEP74", "employee_user_id": 69, "employee_first_name": "Andrew", "employee_last_name": "Hayes", @@ -1975,7 +1975,7 @@ "model": "employee.employee", "pk": 69, "fields": { - "badge_id": "#PEP75", + "badge_id": "PEP75", "employee_user_id": 70, "employee_first_name": "Sofia", "employee_last_name": "Howard", @@ -2004,7 +2004,7 @@ "model": "employee.employee", "pk": 70, "fields": { - "badge_id": "#PEP04", + "badge_id": "PEP04", "employee_user_id": 71, "employee_first_name": "James", "employee_last_name": "Davis", @@ -2033,7 +2033,7 @@ "model": "employee.employee", "pk": 71, "fields": { - "badge_id": "#PEP06", + "badge_id": "PEP06", "employee_user_id": 72, "employee_first_name": "Daniel", "employee_last_name": "Foster", @@ -2062,7 +2062,7 @@ "model": "employee.employee", "pk": 72, "fields": { - "badge_id": "#PEP07", + "badge_id": "PEP07", "employee_user_id": 73, "employee_first_name": "Olivia", "employee_last_name": "Green", @@ -2091,7 +2091,7 @@ "model": "employee.employee", "pk": 73, "fields": { - "badge_id": "#PEP09", + "badge_id": "PEP09", "employee_user_id": 74, "employee_first_name": "Sophia", "employee_last_name": "Johnson", @@ -2120,7 +2120,7 @@ "model": "employee.employee", "pk": 74, "fields": { - "badge_id": "#PEP51", + "badge_id": "PEP51", "employee_user_id": 75, "employee_first_name": "Riley", "employee_last_name": "Taylor", @@ -2149,7 +2149,7 @@ "model": "employee.employee", "pk": 75, "fields": { - "badge_id": "#PEP52", + "badge_id": "PEP52", "employee_user_id": 76, "employee_first_name": "Isaac", "employee_last_name": "Torres", @@ -2178,7 +2178,7 @@ "model": "employee.employee", "pk": 76, "fields": { - "badge_id": "#PEP54", + "badge_id": "PEP54", "employee_user_id": 77, "employee_first_name": "Dylan", "employee_last_name": "Ward", @@ -2207,18 +2207,76 @@ "model": "employee.employee", "pk": 77, "fields": { - "badge_id": "PEP234567", + "badge_id": "PEP76", "employee_user_id": 79, - "employee_first_name": "test", - "employee_last_name": "item", + "employee_first_name": "Dulce", + "employee_last_name": "Abril", "employee_profile": "", - "email": "testItem@horilla.com", - "phone": "9898989898", - "address": "ABCD street", - "country": "USA", - "state": "Nevada", - "city": "las vegas", - "zip": "89036", + "email": "dulce.abril@horilla.com", + "phone": "9818817810", + "address": null, + "country": null, + "state": null, + "city": null, + "zip": null, + "dob": null, + "gender": "female", + "qualification": null, + "experience": null, + "marital_status": "single", + "children": null, + "emergency_contact": null, + "emergency_contact_name": null, + "emergency_contact_relation": null, + "is_active": true, + "additional_info": null + } + }, + { + "model": "employee.employee", + "pk": 78, + "fields": { + "badge_id": "PEP77", + "employee_user_id": 80, + "employee_first_name": "Mara", + "employee_last_name": "Hashimoto", + "employee_profile": "", + "email": "mara.hashimoto@horilla.com", + "phone": "9818817811", + "address": null, + "country": null, + "state": null, + "city": null, + "zip": null, + "dob": null, + "gender": "female", + "qualification": null, + "experience": null, + "marital_status": "single", + "children": null, + "emergency_contact": null, + "emergency_contact_name": null, + "emergency_contact_relation": null, + "is_active": true, + "additional_info": null + } + }, + { + "model": "employee.employee", + "pk": 79, + "fields": { + "badge_id": "PEP78", + "employee_user_id": 81, + "employee_first_name": "Philip", + "employee_last_name": "Gent", + 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"notify_before": 1, + "is_digital_asset": false + } + }, + { + "model": "horilla_documents.document", + "pk": 19, + "fields": { + "created_at": "2024-09-21T05:20:12.220Z", + "created_by": 1, + "modified_by": 1, + "is_active": true, + "title": "Upload PAN CARD", + "employee_id": 42, + "document_request_id": 2, + "document": "", + "status": "requested", + "reject_reason": null, + "expiry_date": null, + "notify_before": 1, + "is_digital_asset": false + } + }, + { + "model": "horilla_documents.document", + "pk": 20, + "fields": { + "created_at": "2024-09-21T05:20:12.227Z", + "created_by": 1, + "modified_by": 1, + "is_active": true, + "title": "Upload PAN CARD", + "employee_id": 46, + "document_request_id": 2, + "document": "", + "status": "requested", + "reject_reason": null, + "expiry_date": null, + "notify_before": 1, + "is_digital_asset": false + } + }, + { + "model": "horilla_documents.document", + "pk": 21, + "fields": { + "created_at": "2024-09-21T05:20:12.231Z", + "created_by": 1, + "modified_by": 1, + "is_active": true, + "title": "Upload PAN CARD", + "employee_id": 35, + "document_request_id": 2, + "document": "", + "status": "requested", + "reject_reason": null, + "expiry_date": null, + "notify_before": 1, + "is_digital_asset": false + } + }, + { + "model": "horilla_documents.document", + "pk": 22, + "fields": { + "created_at": "2024-09-21T05:20:12.235Z", + "created_by": 1, + "modified_by": 1, + "is_active": true, + "title": "Upload PAN CARD", + "employee_id": 41, + "document_request_id": 2, + "document": "", + "status": "requested", + "reject_reason": null, + "expiry_date": null, + "notify_before": 1, + "is_digital_asset": false + } } ] diff --git a/load_data/leave_data.json b/load_data/leave_data.json index 7504f2906..1d75acbfc 100644 --- a/load_data/leave_data.json +++ b/load_data/leave_data.json @@ -3262,8 +3262,11 @@ "start_date": "2024-09-16", "end_date": "2024-09-16", "department": 1, + "include_all": true, "description": "Horilla Project Installation", - "job_position": [] + "job_position": [], + "spesific_leave_types": [], + "exclued_leave_types": [] } }, { @@ -3278,8 +3281,11 @@ "start_date": "2024-09-23", "end_date": "2024-09-27", "department": 2, + "include_all": true, "description": "Luanch Horilla", - "job_position": [] + "job_position": [], + "spesific_leave_types": [], + "exclued_leave_types": [] } }, { @@ -3294,8 +3300,22 @@ "start_date": "2024-12-24", "end_date": "2024-12-26", "department": 2, + "include_all": true, "description": "Chirstmas Sales", - "job_position": [] + "job_position": [], + "spesific_leave_types": [], + "exclued_leave_types": [3] + } + }, + { + "model": "leave.employeepastleaverestrict", + "pk": 1, + "fields": { + "created_at": "2024-09-21T04:40:18.153Z", + "created_by": null, + "modified_by": null, + "is_active": true, + "enabled": true } } ] diff --git a/load_data/payroll_data.json b/load_data/payroll_data.json new file mode 100644 index 000000000..6ef201fd8 --- /dev/null +++ b/load_data/payroll_data.json @@ -0,0 +1,1521 @@ +[ + { + "model": "payroll.filingstatus", + "pk": 1, + "fields": { + "created_at": "2024-09-21T08:42:22.725Z", + "created_by": 1, + "modified_by": 1, + "is_active": true, + "filing_status": "Single Filers", + "based_on": "taxable_gross_pay", + "use_py": false, + "python_code": "\"\"\"\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)", + "description": "", + "company_id": null + } + }, + { + "model": "payroll.filingstatus", + "pk": 2, + "fields": { + "created_at": "2024-09-21T08:42:28.019Z", + "created_by": 1, + "modified_by": 1, + "is_active": true, + "filing_status": "Married Filing Separately(MFS)", + "based_on": "taxable_gross_pay", + "use_py": false, + "python_code": "\"\"\"\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)", + "description": "", + "company_id": null + } + }, + { + "model": "payroll.filingstatus", + "pk": 3, + "fields": { + "created_at": "2024-09-21T08:42:34.764Z", + "created_by": 1, + "modified_by": 1, + "is_active": true, + "filing_status": "Married Filing Jointly (MFJ)", + "based_on": "taxable_gross_pay", + "use_py": false, + "python_code": "\"\"\"\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)", + "description": "", + "company_id": null + } + }, + { + "model": "payroll.filingstatus", + "pk": 4, + "fields": { + "created_at": "2024-09-21T08:42:40.096Z", + "created_by": 1, + "modified_by": 1, + "is_active": true, + "filing_status": "Head of Household (HOH)", + "based_on": "taxable_gross_pay", + "use_py": false, + "python_code": "\"\"\"\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)", + "description": "", + "company_id": null + } + }, + { + "model": "payroll.allowance", + "pk": 1, + "fields": { + "created_at": "2024-09-21T08:35:27.289Z", + "created_by": 1, + "modified_by": 1, + "is_active": true, + "title": "House Rent Allowance (HRA)", + "one_time_date": null, + "include_active_employees": true, + "is_taxable": true, + "is_condition_based": false, + "field": null, + "condition": null, + "value": null, + "is_fixed": false, + "amount": null, + "based_on": "basic_pay", + "rate": 4.5, + "per_attendance_fixed_amount": 0.0, + "per_children_fixed_amount": 0.0, + "shift_id": null, + "shift_per_attendance_amount": 0.0, + "amount_per_one_hr": 0.0, + "work_type_id": null, + "work_type_per_attendance_amount": 0.0, + "has_max_limit": false, + "maximum_amount": null, + "maximum_unit": "month_working_days", + "if_choice": "basic_pay", + "if_condition": "gt", + "if_amount": 0.0, + "start_range": null, + "end_range": null, + "company_id": null, + "only_show_under_employee": false, + "is_loan": false, + "specific_employees": [9, 71, 7, 124, 111, 27, 83, 26, 24, 51, 33, 98], + "exclude_employees": [], + "other_conditions": [] + } + }, + { + "model": "payroll.allowance", + "pk": 2, + "fields": { + "created_at": "2024-09-21T08:36:39.003Z", + "created_by": 1, + "modified_by": 1, + "is_active": true, + "title": "Meal Allowance", + "one_time_date": null, + "include_active_employees": true, + "is_taxable": true, + "is_condition_based": false, + "field": null, + "condition": null, + "value": null, + "is_fixed": false, + "amount": null, + "based_on": "work_type_id", + "rate": null, + "per_attendance_fixed_amount": 0.0, + "per_children_fixed_amount": 0.0, + "shift_id": null, + "shift_per_attendance_amount": 0.0, + "amount_per_one_hr": 0.0, + "work_type_id": 1, + "work_type_per_attendance_amount": 40.0, + "has_max_limit": true, + "maximum_amount": 1500.0, + "maximum_unit": "month_working_days", + "if_choice": "basic_pay", + "if_condition": "gt", + "if_amount": 0.0, + "start_range": null, + "end_range": null, + "company_id": null, + "only_show_under_employee": false, + "is_loan": false, + "specific_employees": [], + "exclude_employees": [], + "other_conditions": [] + } + }, + { + "model": "payroll.allowance", + "pk": 3, + "fields": { + "created_at": "2024-09-21T08:37:32.308Z", + "created_by": 1, + "modified_by": 1, + "is_active": true, + "title": "Education Allowance", + "one_time_date": null, + "include_active_employees": false, + "is_taxable": true, + "is_condition_based": true, + "field": "children", + "condition": "lt", + "value": "3", + "is_fixed": false, + "amount": null, + "based_on": "basic_pay", + "rate": 10.0, + "per_attendance_fixed_amount": 0.0, + "per_children_fixed_amount": 0.0, + "shift_id": null, + "shift_per_attendance_amount": 0.0, + "amount_per_one_hr": 0.0, + "work_type_id": null, + "work_type_per_attendance_amount": 0.0, + "has_max_limit": false, + "maximum_amount": null, + "maximum_unit": "month_working_days", + "if_choice": "basic_pay", + "if_condition": "gt", + "if_amount": 0.0, + "start_range": null, + "end_range": null, + "company_id": null, + "only_show_under_employee": false, + "is_loan": false, + "specific_employees": [], + "exclude_employees": [], + "other_conditions": [] + } + }, + { + "model": "payroll.allowance", + "pk": 4, + "fields": { + "created_at": "2024-09-21T08:40:56.185Z", + "created_by": 1, + "modified_by": 1, + "is_active": true, + "title": "Emergency Loan", + "one_time_date": "2024-01-10", + "include_active_employees": false, + "is_taxable": true, + "is_condition_based": false, + "field": null, + "condition": null, + "value": null, + "is_fixed": true, + "amount": 54000.0, + "based_on": "basic_pay", + "rate": null, + "per_attendance_fixed_amount": 0.0, + "per_children_fixed_amount": 0.0, + "shift_id": null, + "shift_per_attendance_amount": 0.0, + "amount_per_one_hr": 0.0, + "work_type_id": null, + "work_type_per_attendance_amount": 0.0, + "has_max_limit": false, + "maximum_amount": null, + "maximum_unit": "month_working_days", + "if_choice": "basic_pay", + "if_condition": "gt", + "if_amount": 0.0, + "start_range": null, + "end_range": null, + "company_id": null, + "only_show_under_employee": true, + "is_loan": true, + "specific_employees": [13], + "exclude_employees": [], + "other_conditions": [] + } + }, + { + "model": "payroll.deduction", + "pk": 1, + "fields": { + "created_at": "2024-09-21T08:38:13.177Z", + "created_by": 1, + "modified_by": 1, + "is_active": true, + "title": "Provident Fund (PF)", + "one_time_date": null, + "include_active_employees": true, + "is_tax": false, + "is_pretax": true, + "is_condition_based": false, + "field": null, + "condition": null, + "value": null, + "update_compensation": null, + "is_fixed": false, + "amount": null, + "based_on": "basic_pay", + "rate": 12.0, + "employer_rate": 0.0, + "has_max_limit": false, + "maximum_amount": null, + "maximum_unit": "month_working_days", + "if_choice": "basic_pay", + "if_condition": "gt", + "if_amount": 0.0, + "start_range": null, + "end_range": null, + "company_id": null, + "only_show_under_employee": false, + "is_installment": false, + "specific_employees": [], + "exclude_employees": [], + 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+++ b/load_data/work_info_data.json @@ -9,8 +9,8 @@ "work_type_id": 1, "employee_type_id": 1, "job_role_id": 1, - "reporting_manager_id": null, - "company_id": null, + "reporting_manager_id": 9, + "company_id": 1, "location": "Canada", "email": "michael.brown@horilla.com", "mobile": null, @@ -34,8 +34,8 @@ "work_type_id": null, "employee_type_id": 2, "job_role_id": 1, - "reporting_manager_id": null, - "company_id": null, + "reporting_manager_id": 9, + "company_id": 1, "location": "india", "email": "sarah.anderson@horilla.com", "mobile": null, @@ -59,8 +59,8 @@ "work_type_id": null, "employee_type_id": 3, "job_role_id": 1, - "reporting_manager_id": 1, - "company_id": null, + "reporting_manager_id": 9, + "company_id": 1, "location": "london", "email": "emily.clark@horilla.com", "mobile": null, @@ -84,8 +84,8 @@ "work_type_id": null, "employee_type_id": 2, "job_role_id": 1, - "reporting_manager_id": null, - "company_id": null, + "reporting_manager_id": 9, + "company_id": 1, "location": "Bengaluru", "email": "jessica.evans@horilla.com", "mobile": null, @@ -109,8 +109,8 @@ "work_type_id": 1, "employee_type_id": 2, "job_role_id": 2, - "reporting_manager_id": null, - "company_id": null, + "reporting_manager_id": 9, + "company_id": 1, "location": "london", "email": "matthew.harris@horilla.com", "mobile": null, @@ -134,8 +134,8 @@ "work_type_id": null, "employee_type_id": 1, "job_role_id": 2, - "reporting_manager_id": 4, - "company_id": null, + "reporting_manager_id": 9, + "company_id": 1, "location": "Bengaluru", "email": "david.king@horilla.com", "mobile": null, @@ -159,8 +159,8 @@ "work_type_id": 1, "employee_type_id": 2, "job_role_id": 2, - "reporting_manager_id": 4, - "company_id": null, + "reporting_manager_id": 9, + "company_id": 1, "location": "Canada", "email": "emma.lee@horilla.com", "mobile": null, @@ -184,8 +184,8 @@ "work_type_id": 1, "employee_type_id": 3, "job_role_id": 2, - "reporting_manager_id": null, - "company_id": null, + "reporting_manager_id": 12, + "company_id": 1, "location": "india", "email": "christopher.miller@horilla.com", "mobile": null, @@ -209,8 +209,8 @@ "work_type_id": 1, "employee_type_id": 3, "job_role_id": 3, - "reporting_manager_id": 4, - "company_id": null, + "reporting_manager_id": 13, + "company_id": 1, "location": "london", "email": "mia.nelson@horilla.com", "mobile": null, @@ -234,8 +234,8 @@ "work_type_id": null, "employee_type_id": 3, "job_role_id": 3, - "reporting_manager_id": 1, - "company_id": null, + "reporting_manager_id": 70, + "company_id": 3, "location": "kochi", "email": "benjamin.parker@horilla.com", "mobile": null, @@ -254,13 +254,13 @@ "pk": 11, "fields": { "employee_id": 12, - "job_position_id": 3, - "department_id": 2, + "job_position_id": 24, + "department_id": 6, "work_type_id": null, "employee_type_id": 3, - "job_role_id": 3, - "reporting_manager_id": 4, - "company_id": null, + "job_role_id": 46, + "reporting_manager_id": 1, + "company_id": 1, "location": "Bengaluru", "email": "abigail.roberts@horilla.com", "mobile": null, @@ -284,8 +284,8 @@ "work_type_id": null, "employee_type_id": 3, "job_role_id": 3, - "reporting_manager_id": 4, - "company_id": null, + "reporting_manager_id": 12, + "company_id": 1, "location": "Canada", "email": "alexander.smith@horilla.com", "mobile": null, @@ -309,8 +309,8 @@ "work_type_id": null, "employee_type_id": 3, "job_role_id": 3, - "reporting_manager_id": 4, - "company_id": null, + "reporting_manager_id": 13, + "company_id": 1, "location": "india", "email": "isabella.thompson@horilla.com", "mobile": null, @@ -334,8 +334,8 @@ "work_type_id": null, "employee_type_id": 3, "job_role_id": 3, - "reporting_manager_id": 11, - "company_id": null, + "reporting_manager_id": 13, + "company_id": 1, "location": "london", "email": "jacob.walker@horilla.com", "mobile": null, @@ -359,8 +359,8 @@ "work_type_id": null, "employee_type_id": 1, "job_role_id": 4, - "reporting_manager_id": 4, - "company_id": null, + "reporting_manager_id": 13, + "company_id": 1, "location": "kochi", "email": "charlotte.white@horilla.com", "mobile": null, @@ -384,8 +384,8 @@ "work_type_id": 1, "employee_type_id": 2, "job_role_id": 5, - "reporting_manager_id": 4, - "company_id": null, + "reporting_manager_id": 13, + "company_id": 1, "location": "Bengaluru", "email": "noah.young@horilla.com", "mobile": null, @@ -409,8 +409,8 @@ "work_type_id": null, "employee_type_id": 1, "job_role_id": 5, - "reporting_manager_id": null, - "company_id": null, + "reporting_manager_id": 13, + "company_id": 1, "location": "Canada", "email": "grace.allen@horilla.com", "mobile": null, @@ -434,8 +434,8 @@ "work_type_id": null, "employee_type_id": 1, "job_role_id": 5, - "reporting_manager_id": 4, - "company_id": null, + "reporting_manager_id": 13, + "company_id": 1, "location": "india", "email": "samuel.baker@horilla.com", "mobile": null, @@ -459,8 +459,8 @@ "work_type_id": 1, "employee_type_id": 2, "job_role_id": 6, - "reporting_manager_id": 4, - "company_id": null, + "reporting_manager_id": 26, + "company_id": 2, "location": "london", "email": "lily.campbell@horilla.com", "mobile": null, @@ -484,8 +484,8 @@ "work_type_id": null, "employee_type_id": 3, "job_role_id": 7, - "reporting_manager_id": 11, - "company_id": null, + "reporting_manager_id": 21, + "company_id": 3, "location": "kochi", "email": "lucas.carter@horilla.com", "mobile": null, @@ -509,8 +509,8 @@ "work_type_id": null, "employee_type_id": 1, "job_role_id": 8, - "reporting_manager_id": null, - "company_id": null, + "reporting_manager_id": 12, + "company_id": 1, "location": "Bengaluru", "email": "amelia.cooper@horilla.com", "mobile": null, @@ -534,8 +534,8 @@ "work_type_id": null, "employee_type_id": 2, "job_role_id": 8, - "reporting_manager_id": 11, - "company_id": null, + "reporting_manager_id": 21, + "company_id": 3, "location": "Canada", "email": "mason.diaz@horilla.com", "mobile": null, @@ -559,8 +559,8 @@ "work_type_id": null, "employee_type_id": 3, "job_role_id": 8, - "reporting_manager_id": 24, - "company_id": null, + "reporting_manager_id": 26, + "company_id": 2, "location": "india", "email": "harper.edwards@horilla.com", "mobile": null, @@ -584,8 +584,8 @@ "work_type_id": null, "employee_type_id": 1, "job_role_id": 9, - "reporting_manager_id": 11, - "company_id": null, + "reporting_manager_id": 26, + "company_id": 2, "location": "london", "email": "logan.flores@horilla.com", "mobile": null, @@ -609,8 +609,8 @@ "work_type_id": null, "employee_type_id": 3, "job_role_id": 10, - "reporting_manager_id": 4, - "company_id": null, + "reporting_manager_id": 119, + "company_id": 2, "location": "kochi", "email": "evelyn.garcia@horilla.com", "mobile": null, @@ -634,8 +634,8 @@ "work_type_id": null, "employee_type_id": 3, "job_role_id": 10, - "reporting_manager_id": 11, - "company_id": null, + "reporting_manager_id": 22, + "company_id": 1, "location": "Bengaluru", "email": "ethan.gonzalez@horilla.com", "mobile": null, @@ -659,8 +659,8 @@ "work_type_id": null, "employee_type_id": 3, "job_role_id": 10, - "reporting_manager_id": 11, - "company_id": null, + "reporting_manager_id": 22, + "company_id": 1, "location": "Canada", "email": "avery.hill@horilla.com", "mobile": null, @@ -684,8 +684,8 @@ "work_type_id": null, "employee_type_id": 3, "job_role_id": 10, - "reporting_manager_id": 4, - "company_id": null, + "reporting_manager_id": 21, + "company_id": 3, "location": "india", "email": "william.hughes@horilla.com", "mobile": null, @@ -709,8 +709,8 @@ "work_type_id": null, "employee_type_id": 3, "job_role_id": 10, - "reporting_manager_id": 24, - "company_id": null, + "reporting_manager_id": 22, + "company_id": 1, "location": "london", "email": "ella.jackson@horilla.com", "mobile": null, @@ -734,8 +734,8 @@ "work_type_id": null, "employee_type_id": 1, "job_role_id": 11, - "reporting_manager_id": 24, - "company_id": null, + "reporting_manager_id": 33, + "company_id": 1, "location": "kochi", "email": "owen.jenkins@horilla.com", "mobile": null, @@ -759,8 +759,8 @@ "work_type_id": 1, "employee_type_id": 2, "job_role_id": 12, - "reporting_manager_id": 24, - "company_id": null, + "reporting_manager_id": 33, + "company_id": 1, "location": "Bengaluru", "email": "madison.kelly@horilla.com", "mobile": null, @@ -784,8 +784,8 @@ "work_type_id": null, "employee_type_id": 3, "job_role_id": 13, - "reporting_manager_id": 4, - "company_id": null, + "reporting_manager_id": 12, + "company_id": 1, "location": "Canada", "email": "henry.lewis@horilla.com", "mobile": null, @@ -809,8 +809,8 @@ "work_type_id": null, "employee_type_id": 1, "job_role_id": 14, - "reporting_manager_id": 24, - "company_id": null, + "reporting_manager_id": 33, + "company_id": 1, "location": "india", "email": "scarlett.martinez@horilla.com", "mobile": null, @@ -834,8 +834,8 @@ "work_type_id": null, "employee_type_id": 2, "job_role_id": 15, - "reporting_manager_id": 24, - "company_id": null, + "reporting_manager_id": 37, + "company_id": 1, "location": "london", "email": "sebastian.mitchell@horilla.com", "mobile": null, @@ -859,8 +859,8 @@ "work_type_id": 1, "employee_type_id": 3, "job_role_id": 16, - "reporting_manager_id": 24, - "company_id": null, + "reporting_manager_id": 37, + "company_id": 1, "location": "kochi", "email": "chloe.morgan@horilla.com", "mobile": null, @@ -884,8 +884,8 @@ "work_type_id": 1, "employee_type_id": 1, "job_role_id": 16, - "reporting_manager_id": 4, - "company_id": null, + "reporting_manager_id": 12, + "company_id": 1, "location": "Bengaluru", "email": "aiden.murphy@horilla.com", "mobile": null, @@ -909,8 +909,8 @@ "work_type_id": null, "employee_type_id": 2, "job_role_id": 16, - "reporting_manager_id": 24, - "company_id": null, + "reporting_manager_id": 40, + "company_id": 2, "location": "Canada", "email": "mila.perez@horilla.com", "mobile": null, @@ -934,8 +934,8 @@ "work_type_id": 1, "employee_type_id": 3, "job_role_id": 16, - "reporting_manager_id": 24, - "company_id": null, + "reporting_manager_id": 40, + "company_id": 2, "location": "india", "email": "gabriel.phillips@horilla.com", "mobile": null, @@ -959,8 +959,8 @@ "work_type_id": null, "employee_type_id": 1, "job_role_id": 16, - "reporting_manager_id": 24, - "company_id": null, + "reporting_manager_id": 119, + "company_id": 2, "location": "london", "email": "aria.powell@horilla.com", "mobile": null, @@ -984,8 +984,8 @@ "work_type_id": null, "employee_type_id": 2, "job_role_id": 17, - "reporting_manager_id": 4, - "company_id": null, + "reporting_manager_id": 40, + "company_id": 2, "location": "kochi", "email": "wyatt.ramirez@horilla.com", "mobile": null, @@ -1009,8 +1009,8 @@ "work_type_id": 1, "employee_type_id": 3, "job_role_id": 17, - "reporting_manager_id": 24, - "company_id": null, + "reporting_manager_id": 40, + "company_id": 2, "location": "Bengaluru", "email": "nora.reed@horilla.com", "mobile": null, @@ -1034,8 +1034,8 @@ "work_type_id": 1, "employee_type_id": 1, "job_role_id": 18, - "reporting_manager_id": 24, - "company_id": null, + "reporting_manager_id": 40, + "company_id": 2, "location": "Canada", "email": "jack.rivera@horilla.com", "mobile": null, @@ -1059,8 +1059,8 @@ "work_type_id": 1, "employee_type_id": 2, "job_role_id": 18, - "reporting_manager_id": 4, - "company_id": null, + "reporting_manager_id": 40, + "company_id": 2, "location": "india", "email": "ellie.rogers@horilla.com", "mobile": null, @@ -1084,8 +1084,8 @@ "work_type_id": null, "employee_type_id": 3, "job_role_id": 18, - "reporting_manager_id": 4, - "company_id": null, + "reporting_manager_id": 40, + "company_id": 2, "location": "london", "email": "levi.sanders@horilla.com", "mobile": null, @@ -1109,8 +1109,8 @@ "work_type_id": null, "employee_type_id": 1, "job_role_id": 18, - "reporting_manager_id": 4, - "company_id": null, + "reporting_manager_id": 40, + "company_id": 2, "location": "kochi", "email": "penelope.scott@horilla.com", "mobile": null, @@ -1134,8 +1134,8 @@ "work_type_id": null, "employee_type_id": 2, "job_role_id": 19, - "reporting_manager_id": 11, - "company_id": null, + "reporting_manager_id": 119, + "company_id": 2, "location": "Bengaluru", "email": "carter.stewart@horilla.com", "mobile": null, @@ -1159,8 +1159,8 @@ "work_type_id": null, "employee_type_id": 2, "job_role_id": 20, - "reporting_manager_id": 4, - "company_id": null, + "reporting_manager_id": 47, + "company_id": 2, "location": "london", "email": "victoria.turner@horilla.com", "mobile": null, @@ -1184,8 +1184,8 @@ "work_type_id": null, "employee_type_id": 3, "job_role_id": 21, - "reporting_manager_id": 11, - "company_id": null, + "reporting_manager_id": 47, + "company_id": 2, "location": "Bengaluru", "email": "zoey.watson@horilla.com", "mobile": null, @@ -1209,8 +1209,8 @@ "work_type_id": null, "employee_type_id": 3, "job_role_id": 21, - "reporting_manager_id": 4, - "company_id": null, + "reporting_manager_id": 47, + "company_id": 2, "location": "Canada", "email": "nathaniel.wright@horilla.com", "mobile": null, @@ -1234,8 +1234,8 @@ "work_type_id": null, "employee_type_id": 3, "job_role_id": 21, - "reporting_manager_id": 4, - "company_id": null, + "reporting_manager_id": 47, + "company_id": 2, "location": "india", "email": "hazel.adams@horilla.com", "mobile": null, @@ -1259,8 +1259,8 @@ "work_type_id": null, "employee_type_id": 3, "job_role_id": 21, - "reporting_manager_id": 11, - "company_id": null, + "reporting_manager_id": 47, + "company_id": 2, "location": "london", "email": "julian.barnes@horilla.com", "mobile": null, @@ -1284,8 +1284,8 @@ "work_type_id": null, "employee_type_id": 3, "job_role_id": 21, - "reporting_manager_id": 11, - "company_id": null, + "reporting_manager_id": 47, + "company_id": 2, "location": "kochi", "email": "stella.bell@horilla.com", "mobile": null, @@ -1309,8 +1309,8 @@ "work_type_id": null, "employee_type_id": 3, "job_role_id": 21, - "reporting_manager_id": 24, - "company_id": null, + "reporting_manager_id": 47, + "company_id": 2, "location": "Bengaluru", "email": "ryan.bennett@horilla.com", "mobile": null, @@ -1334,8 +1334,8 @@ "work_type_id": null, "employee_type_id": 3, "job_role_id": 21, - "reporting_manager_id": 11, - "company_id": null, + "reporting_manager_id": 47, + "company_id": 2, "location": "Canada", "email": "hannah.brooks@horilla.com", "mobile": null, @@ -1359,8 +1359,8 @@ "work_type_id": null, "employee_type_id": 3, "job_role_id": 21, - "reporting_manager_id": 11, - "company_id": null, + "reporting_manager_id": 47, + "company_id": 2, "location": "india", "email": "hunter.butler@horilla.com", "mobile": null, @@ -1384,8 +1384,8 @@ "work_type_id": null, "employee_type_id": 1, "job_role_id": 22, - "reporting_manager_id": 11, - "company_id": null, + "reporting_manager_id": 47, + "company_id": 2, "location": "london", "email": "ruby.cook@horilla.com", "mobile": null, @@ -1409,8 +1409,8 @@ "work_type_id": 1, "employee_type_id": 1, "job_role_id": 22, - "reporting_manager_id": 11, - "company_id": null, + "reporting_manager_id": 47, + "company_id": 2, "location": "kochi", "email": "elijah.cox@horilla.com", "mobile": null, @@ -1434,8 +1434,8 @@ "work_type_id": null, "employee_type_id": 1, "job_role_id": 22, - "reporting_manager_id": 24, - "company_id": null, + "reporting_manager_id": 68, + "company_id": 3, "location": "Bengaluru", "email": "lucy.cruz@horilla.com", "mobile": null, @@ -1459,8 +1459,8 @@ "work_type_id": null, "employee_type_id": 1, "job_role_id": 22, - "reporting_manager_id": 11, - "company_id": null, + "reporting_manager_id": 68, + "company_id": 3, "location": "Canada", "email": "joseph.diaz@horilla.com", "mobile": null, @@ -1484,8 +1484,8 @@ "work_type_id": null, "employee_type_id": 1, "job_role_id": 23, - "reporting_manager_id": 24, - "company_id": null, + "reporting_manager_id": 68, + "company_id": 3, "location": "india", "email": "sadie.ellis@horilla.com", "mobile": null, @@ -1509,8 +1509,8 @@ "work_type_id": null, "employee_type_id": 1, "job_role_id": 24, - "reporting_manager_id": 11, - "company_id": null, + "reporting_manager_id": 68, + "company_id": 3, "location": "london", "email": "caleb.fisher@horilla.com", "mobile": null, @@ -1534,8 +1534,8 @@ "work_type_id": null, "employee_type_id": 1, "job_role_id": 25, - "reporting_manager_id": 11, - "company_id": null, + "reporting_manager_id": 68, + "company_id": 3, "location": "kochi", "email": "alice.foster@horilla.com", "mobile": null, @@ -1559,8 +1559,8 @@ "work_type_id": null, "employee_type_id": 1, "job_role_id": 26, - "reporting_manager_id": 11, - "company_id": null, + "reporting_manager_id": 68, + "company_id": 3, "location": "Bengaluru", "email": "nicholas.george@horilla.com", "mobile": null, @@ -1584,8 +1584,8 @@ "work_type_id": null, "employee_type_id": 1, "job_role_id": 27, - "reporting_manager_id": 11, - "company_id": null, + "reporting_manager_id": 68, + "company_id": 3, "location": "Canada", "email": "layla.gonzales@horilla.com", "mobile": null, @@ -1609,8 +1609,8 @@ "work_type_id": 1, "employee_type_id": 1, "job_role_id": 28, - "reporting_manager_id": 11, - "company_id": null, + "reporting_manager_id": 68, + "company_id": 3, "location": "india", "email": "jonathan.gray@horilla.com", "mobile": null, @@ -1634,8 +1634,8 @@ "work_type_id": null, "employee_type_id": 1, "job_role_id": 27, - "reporting_manager_id": 24, - "company_id": null, + "reporting_manager_id": 68, + "company_id": 3, "location": "london", "email": "violet.griffin@horilla.com", "mobile": null, @@ -1659,8 +1659,8 @@ "work_type_id": null, "employee_type_id": 1, "job_role_id": 28, - "reporting_manager_id": 24, - "company_id": null, + "reporting_manager_id": 70, + "company_id": 3, "location": "kochi", "email": "andrew.hayes@horilla.com", "mobile": null, @@ -1684,8 +1684,8 @@ "work_type_id": null, "employee_type_id": 1, "job_role_id": 27, - "reporting_manager_id": 24, - "company_id": null, + "reporting_manager_id": 68, + "company_id": 3, "location": "Bengaluru", "email": "sofia.howard@horilla.com", "mobile": null, @@ -1704,13 +1704,13 @@ "pk": 69, "fields": { "employee_id": 70, - "job_position_id": 1, - "department_id": 1, + "job_position_id": 24, + "department_id": 6, "work_type_id": 1, "employee_type_id": 1, - "job_role_id": 1, - "reporting_manager_id": 4, - "company_id": null, + "job_role_id": 46, + "reporting_manager_id": 1, + "company_id": 3, "location": "kochi", "email": "james.davis@horilla.com", "mobile": null, @@ -1734,8 +1734,8 @@ "work_type_id": 1, "employee_type_id": 3, "job_role_id": 1, - "reporting_manager_id": 4, - "company_id": null, + "reporting_manager_id": 68, + "company_id": 3, "location": "Canada", "email": "daniel.foster@horilla.com", "mobile": null, @@ -1759,8 +1759,8 @@ "work_type_id": null, "employee_type_id": 1, "job_role_id": 1, - "reporting_manager_id": 4, - "company_id": null, + "reporting_manager_id": 68, + "company_id": 3, "location": "india", "email": "olivia.green@horilla.com", "mobile": null, @@ -1784,8 +1784,8 @@ "work_type_id": null, "employee_type_id": 3, "job_role_id": 2, - "reporting_manager_id": 4, - "company_id": null, + "reporting_manager_id": 68, + "company_id": 3, "location": "kochi", "email": "sophia.johnson@horilla.com", "mobile": null, @@ -1809,8 +1809,8 @@ "work_type_id": null, "employee_type_id": 3, "job_role_id": 29, - "reporting_manager_id": 4, - "company_id": null, + "reporting_manager_id": 68, + "company_id": 3, "location": "Canada", "email": "riley.taylor@horilla.com", "mobile": null, @@ -1834,8 +1834,8 @@ "work_type_id": 1, "employee_type_id": 1, "job_role_id": 29, - "reporting_manager_id": 4, - "company_id": null, + "reporting_manager_id": 68, + "company_id": 3, "location": "india", "email": "isaac.torres@horilla.com", "mobile": null, @@ -1859,8 +1859,8 @@ "work_type_id": null, "employee_type_id": 3, "job_role_id": 21, - "reporting_manager_id": 4, - "company_id": null, + "reporting_manager_id": 68, + "company_id": 3, "location": "kochi", "email": "dylan.ward@horilla.com", "mobile": null, @@ -1903,14 +1903,14 @@ "model": "employee.employeeworkinformation", "pk": 77, "fields": { - "employee_id": 77, - "job_position_id": null, - "department_id": null, + "employee_id": 119, + "job_position_id": 24, + "department_id": 6, "work_type_id": null, "employee_type_id": null, - "job_role_id": null, - "reporting_manager_id": null, - "company_id": null, + "job_role_id": 46, + "reporting_manager_id": 1, + "company_id": 2, "location": null, "email": null, "mobile": null, @@ -1923,5 +1923,1412 @@ "experience": 0.0, "tags": [] } + }, + { + "model": "employee.employeeworkinformation", + "pk": 78, + "fields": { + "employee_id": 103, + "job_position_id": 18, + "department_id": 2, + "work_type_id": null, + "employee_type_id": null, + "job_role_id": 40, + "reporting_manager_id": 119, + "company_id": 2, + "location": null, + "email": null, + "mobile": null, + "shift_id": null, + "date_joining": null, + "contract_end_date": null, + "basic_salary": 0, + "salary_hour": 0, + "additional_info": null, + "experience": 0.0, + "tags": 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[] + } + }, + { + "model": "employee.employeeworkinformation", + "pk": 126, + "fields": { + "employee_id": 120, + "job_position_id": 7, + "department_id": 4, + "work_type_id": null, + "employee_type_id": null, + "job_role_id": 11, + "reporting_manager_id": 90, + "company_id": 3, + "location": null, + "email": null, + "mobile": null, + "shift_id": null, + "date_joining": null, + "contract_end_date": null, + "basic_salary": 0, + "salary_hour": 0, + "additional_info": null, + "experience": 0.0, + "tags": [] + } + }, + { + "model": "employee.policy", + "pk": 1, + "fields": { + "created_at": "2024-09-21T05:28:42.996Z", + "created_by": 1, + "modified_by": 1, + "is_active": true, + "title": "Code Policy", + "body": "

Code of Conduct Policy

Purpose:
                     To set expectations for professional behavior and ensure a respectful and ethical workplace.

Body:
                      All employees must adhere to the highest standards of ethical conduct in their professional relationships with clients, colleagues, and stakeholders. This includes honesty, integrity, and compliance with company regulations. Harassment, discrimination, and unethical behavior will not be tolerated and may lead to disciplinary actions, including termination. Employees are also expected to maintain confidentiality and avoid conflicts of interest.

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Information Security Policy

Purpose:
                To protect company data and systems from unauthorized access, breaches, and misuse.

Body:
                               Employees must safeguard all confidential and sensitive information, including customer data, intellectual property, and internal communications. Use secure passwords, two-factor authentication, and encryption when handling sensitive data. Access to data should be limited based on job responsibilities. Employees must report any security incidents or suspected breaches immediately to the IT department. Personal use of company systems must not compromise security.

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Remote Work Policy

Purpose:
                              To provide guidelines for employees working remotely and maintain productivity and communication standards.

Body:
                              Employees working remotely are expected to maintain regular working hours, be available for meetings, and ensure clear communication with their teams. All company-owned devices should be used with appropriate security measures, including VPNs and updated antivirus software. Any work-related tasks should be conducted using approved tools and platforms. Employees must maintain a professional work environment and ensure their internet connection is stable for smooth workflow.

", + "is_visible_to_all": true, + "specific_employees": [], + "attachments": [], + "company_id": [1, 2, 3] + } + }, + { + "model": "employee.policy", + "pk": 4, + "fields": { + "created_at": "2024-09-21T05:31:03.855Z", + "created_by": 1, + "modified_by": 1, + "is_active": true, + "title": "Data Policy", + "body": "

Data Privacy Policy

Purpose:
                   To ensure the company complies with data protection regulations like GDPR and CCPA.

Body:
                    All personal data collected, processed, or stored by the company must be handled in accordance with applicable data protection laws. Employees should only collect the minimum required data, and consent must be obtained from individuals where necessary. The company is committed to protecting the privacy of its clients and employees, and any data breach must be reported immediately. Employees handling personal data must follow specific protocols for its safe storage, transfer, and deletion.

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Employee Device Usage Policy

Purpose:
                    To regulate the use of company-provided and personal devices for work purposes.

Body:
                    Company-provided devices are for professional use only and must be treated responsibly. Employees must ensure that all software on these devices is up-to-date and complies with security standards. Personal devices used for work purposes must also adhere to company security policies, including password protection and approved applications. The IT department may request access to company-provided devices for maintenance or audits.

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IT Support Policy

Purpose:
                      To provide employees with guidelines for receiving technical support.

Body:
                       Employees encountering technical issues must submit a support ticket through the companyÆs IT service desk. Priority will be given to high-impact issues that affect business operations. IT support staff will resolve issues within a specified time frame based on severity. Employees are encouraged to check for common solutions in the knowledge base before requesting support. Any hardware issues with company devices should also be reported to IT for troubleshooting or replacement.

", + "is_visible_to_all": true, + "specific_employees": [], + "attachments": [], + "company_id": [1, 2, 3] + } + }, + { + "model": "employee.policy", + "pk": 7, + "fields": { + "created_at": "2024-09-21T05:33:59.380Z", + "created_by": 1, + "modified_by": 1, + "is_active": true, + "title": "NDA Policy", + "body": "

Non-Disclosure Agreement (NDA) Policy

Purpose:
                    To protect confidential company information from unauthorized disclosure.

Body:
                    All employees are required to sign a non-disclosure agreement upon joining the company. Employees must not share any proprietary, confidential, or trade secret information with external parties during or after their employment. Violating the NDA may lead to legal consequences and termination of employment. Employees must also ensure that confidential information is not discussed in public places or through unsecured communication channels.

", + "is_visible_to_all": true, + "specific_employees": [], + "attachments": [], + "company_id": [1, 2, 3] + } + }, + { + "model": "employee.policy", + "pk": 8, + "fields": { + "created_at": "2024-09-21T05:34:56.573Z", + "created_by": 1, + "modified_by": 1, + "is_active": true, + "title": "Software Policy", + "body": "

Software Use Policy

Purpose:
                  To regulate the usage of licensed software and prevent the use of unauthorized programs.

Body:
                  Employees must use only company-approved and licensed software for work purposes. The installation of personal or unauthorized software on company systems is prohibited and may result in disciplinary action. IT regularly audits all company devices to ensure compliance. If employees require additional software, they must submit a request to the IT department for approval.

", + "is_visible_to_all": true, + "specific_employees": [], + "attachments": [], + "company_id": [1, 2, 3] + } + }, + { + "model": "employee.policy", + "pk": 9, + "fields": { + "created_at": "2024-09-21T05:35:37.592Z", + "created_by": 1, + "modified_by": 1, + "is_active": true, + "title": "Internet Policy", + "body": "

Internet Usage Policy

Purpose:
                 To manage the appropriate use of the companyÆs internet and network resources.

Body:
                  Employees are expected to use the companyÆs internet resources primarily for work-related activities. Access to social media, streaming services, and non-work-related websites should be limited during working hours unless part of the employee's job. Monitoring systems are in place to track internet usage, and any misuse of company bandwidth may result in restricted access. Downloading unauthorized files or software from the internet is strictly prohibited.

", + "is_visible_to_all": true, + "specific_employees": [], + "attachments": [], + "company_id": [1, 2, 3] + } + }, + { + "model": "employee.disciplinaryaction", + "pk": 1, + "fields": { + "created_at": "2024-09-21T05:46:13.737Z", + "created_by": 1, + "modified_by": 1, + "is_active": true, + "action": 1, + "description": "NDA Policy First Warning", + "unit_in": "days", + "days": 1, + "hours": "00:00", + "start_date": "2024-09-21", + "attachment": "", + "employee_id": [7, 4], + "company_id": [] + } + }, + { + "model": "employee.disciplinaryaction", + "pk": 2, + "fields": { + "created_at": "2024-09-21T05:46:45.078Z", + "created_by": 1, + "modified_by": 1, + "is_active": true, + "action": 2, + "description": "Last warning for Data Privacy Policy", + "unit_in": "days", + "days": 1, + "hours": "00:00", + "start_date": "2024-09-21", + "attachment": "", + "employee_id": [23, 29], + "company_id": [] + } } ]