File size: 8,678 Bytes
e773157 841a995 e773157 e781bae e773157 e781bae e773157 e781bae e773157 e781bae e773157 7226f4e e781bae 7226f4e e781bae 7226f4e e773157 7226f4e e773157 e781bae e773157 e781bae e773157 e781bae e773157 e781bae e773157 e781bae e773157 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 | import sqlite3
import uuid
def generate_uuid():
return str(uuid.uuid4())
def insert_mock_data():
conn = sqlite3.connect('hello_earth_data_2.db')
cursor = conn.cursor()
mock_data = []
# Project 1
project_1_id = generate_uuid()
deliverable_1_1_id = generate_uuid()
deliverable_1_2_id = generate_uuid()
mock_data.append({
"project": {
"project_id": project_1_id,
"title": "Mangrove Restoration",
"status": "started",
"detail_information": "Restoring coastal ecosystems using mangrove plantations.",
"start_date": "2025-01-01",
"end_date": "2025-12-31"
},
"deliverables": [
{
"deliverable_id": deliverable_1_1_id,
"title": "Area Assessment",
"status": "done",
"risk_level": "green",
"risk_level_rationale": "No environmental threats detected.",
"start_date": "2025-01-05",
"end_date": "2025-03-01"
},
{
"deliverable_id": deliverable_1_2_id,
"title": "Planting Phase",
"status": "ongoing",
"risk_level": "yellow",
"risk_level_rationale": "Tide schedule interference.",
"start_date": "2025-03-15",
"end_date": "2025-08-30"
}
],
"budgets": [
{
"id": generate_uuid(),
"deliverable_id": deliverable_1_1_id,
"wage": 1000.0,
"materials": 1500.0,
"tools_equipment": 500.0,
"services": 800.0,
"misc": 100.0
},
{
"id": generate_uuid(),
"deliverable_id": deliverable_1_2_id,
"wage": 1200.0,
"materials": 2000.0,
"tools_equipment": 700.0,
"services": 1000.0,
"misc": 150.0
}
],
"expenses": [
{
"expense_id": generate_uuid(),
"associated_deliverable_id": deliverable_1_1_id,
"seller_name": "EcoTools Ltd.",
"seller_address": "101 Earth Ave",
"seller_phone_number": "0811111111",
"buyer_name": "Mangrove Org",
"buyer_address": "900 Forest Blvd",
"transaction_date": "2025-01-20",
"total_payment_amount": 1800.0,
"expense_description": "Survey equipment rental",
"status": "approved"
},
{
"expense_id": generate_uuid(),
"associated_deliverable_id": deliverable_1_1_id,
"seller_name": "Green Supplies Co.",
"seller_address": "202 Eco Rd",
"seller_phone_number": "0822222222",
"buyer_name": "Mangrove Org",
"buyer_address": "900 Forest Blvd",
"transaction_date": "2025-02-10",
"total_payment_amount": 1200.0,
"expense_description": "Protective gear and safety kits",
"status": "approved"
},
{
"expense_id": generate_uuid(),
"associated_deliverable_id": deliverable_1_1_id,
"seller_name": "FieldTech Services",
"seller_address": "303 Survey Lane",
"seller_phone_number": "0833333333",
"buyer_name": "Mangrove Org",
"buyer_address": "900 Forest Blvd",
"transaction_date": "2025-02-25",
"total_payment_amount": 2000.0,
"expense_description": "Field technician support",
"status": "approved"
}
]
})
# Project 2
project_2_id = generate_uuid()
deliverable_2_1_id = generate_uuid()
deliverable_2_2_id = generate_uuid()
mock_data.append({
"project": {
"project_id": project_2_id,
"title": "Urban Tree Planting",
"status": "started",
"detail_information": "Planting trees across the city for shade and air quality.",
"start_date": "2025-02-01",
"end_date": "2025-11-30"
},
"deliverables": [
{
"deliverable_id": deliverable_2_1_id,
"title": "Community Engagement",
"status": "done",
"risk_level": "green",
"risk_level_rationale": "High public interest and participation.",
"start_date": "2025-02-05",
"end_date": "2025-04-01"
}
],
"budgets": [
{
"id": generate_uuid(),
"deliverable_id": deliverable_2_1_id,
"wage": 1500.0,
"materials": 1000.0,
"tools_equipment": 300.0,
"services": 500.0,
"misc": 50.0
}
],
"expenses": []
})
# Project 3
project_3_id = generate_uuid()
deliverable_3_1_id = generate_uuid()
deliverable_3_2_id = generate_uuid()
mock_data.append({
"project": {
"project_id": project_3_id,
"title": "River Clean-up Campaign",
"status": "started",
"detail_information": "Mobilizing volunteers to clean plastic from major rivers.",
"start_date": "2025-03-01",
"end_date": "2025-09-30"
},
"deliverables": [
{
"deliverable_id": deliverable_3_1_id,
"title": "Equipment Procurement",
"status": "done",
"risk_level": "green",
"risk_level_rationale": "Procurement completed on time.",
"start_date": "2025-03-05",
"end_date": "2025-04-01"
},
{
"deliverable_id": deliverable_3_2_id,
"title": "Volunteer Training",
"status": "ongoing",
"risk_level": "yellow",
"risk_level_rationale": "Training attendance dropped by 10%.",
"start_date": "2025-04-10",
"end_date": "2025-06-30"
}
],
"budgets": [],
"expenses": []
})
# === INSERT DATA INTO DB ===
for item in mock_data:
project = item["project"]
cursor.execute('''
INSERT INTO Project (project_id, title, status, detail_information, start_date, end_date)
VALUES (?, ?, ?, ?, ?, ?)
''', (
project["project_id"], project["title"], project["status"],
project["detail_information"], project["start_date"], project["end_date"]
))
for d in item.get("deliverables", []):
cursor.execute('''
INSERT INTO Deliverable (deliverable_id, project_id, title, status, risk_level,
risk_level_rationale, start_date, end_date)
VALUES (?, ?, ?, ?, ?, ?, ?, ?)
''', (
d["deliverable_id"], project["project_id"], d["title"], d["status"],
d["risk_level"], d["risk_level_rationale"], d["start_date"], d["end_date"]
))
for b in item.get("budgets", []):
cursor.execute('''
INSERT INTO Deliverable_Budget (id, deliverable_id, wage, materials, tools_equipment, services, misc)
VALUES (?, ?, ?, ?, ?, ?, ?)
''', (
b["id"], b["deliverable_id"], b["wage"], b["materials"],
b["tools_equipment"], b["services"], b["misc"]
))
for e in item.get("expenses", []):
cursor.execute('''
INSERT INTO Expense (expense_id, associated_deliverable_id, seller_name, seller_address, seller_phone_number,
buyer_name, buyer_address, transaction_date, total_payment_amount, expense_description, status)
VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?, ?, ?)
''', (
e["expense_id"], e["associated_deliverable_id"], e["seller_name"], e["seller_address"],
e["seller_phone_number"], e["buyer_name"], e["buyer_address"],
e["transaction_date"], e["total_payment_amount"], e["expense_description"], e["status"]
))
conn.commit()
conn.close()
print("✅ Multiple projects inserted with UUIDs.")
if __name__ == '__main__':
insert_mock_data()
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