add sqlite_db.script

src/DB/Deliverable.csv

@@ -0,0 +1,7 @@
+deliverable_id,project_id,title,status,risk_level,risk_level_rationale,start_date,end_date
+74897126-8d89-478d-80dc-5dd294a53cc4,5253cfae-8b21-45be-840a-0b238920bc0a,Area Assessment,done,green,No environmental threats detected.,2023-01-05,2023-03-01
+6d1f9224-b352-4a8f-956c-c3309dbdd739,5253cfae-8b21-45be-840a-0b238920bc0a,Planting Phase,ongoing,yellow,Tide schedule interference.,2023-03-15,2023-08-30
+8c51359f-f6e8-45d6-b7df-88aca3cc51bf,0f75e25f-e45a-4e94-80df-76cf130314cd,Community Engagement,done,green,High public interest and participation.,2023-02-05,2023-04-01
+27eb7392-18b4-4042-ace0-7fd17ad44f8b,0f75e25f-e45a-4e94-80df-76cf130314cd,Planting Execution,ongoing,red,Insufficient volunteer workforce.,2023-04-10,2023-10-15
+835dba37-14c5-4279-9650-fc84b260d8e7,b85a170b-368e-4176-aae7-ab223f0d31c5,Equipment Procurement,done,green,Procurement completed on time.,2023-03-05,2023-04-01
+cc513b54-1d4a-42f3-b5ff-25513147cadf,b85a170b-368e-4176-aae7-ab223f0d31c5,Volunteer Training,ongoing,yellow,Training attendance dropped by 10%.,2023-04-10,2023-06-30

src/DB/Deliverable_Budget.csv

@@ -0,0 +1,4 @@
+id,deliverable_id,wage,materials,tools_equipment,services,misc
+3b4474d8-4801-4b91-8dc2-98f7063c6fd6,74897126-8d89-478d-80dc-5dd294a53cc4,1000.0,1500.0,500.0,800.0,100.0
+37a43567-8e09-4842-8c74-1ab3a054b346,6d1f9224-b352-4a8f-956c-c3309dbdd739,1200.0,2000.0,700.0,1000.0,150.0
+e2279ac6-ae29-4d28-b91a-a2565694aa77,8c51359f-f6e8-45d6-b7df-88aca3cc51bf,1500.0,1000.0,300.0,500.0,50.0

src/DB/Expense.csv

@@ -0,0 +1,2 @@
+expense_id,associated_deliverable_id,seller_name,seller_address,seller_phone_number,buyer_name,buyer_address,transaction_date,total_payment_amount,expense_description,status
+b834564f-8721-4478-8fe6-3fee80537c9d,74897126-8d89-478d-80dc-5dd294a53cc4,EcoTools Ltd.,101 Earth Ave,0811111111,Mangrove Org,900 Forest Blvd,2023-01-20,1800.0,Survey equipment rental,approved

src/DB/Project.csv

@@ -0,0 +1,4 @@
+project_id,title,status,detail_information,start_date,end_date
+5253cfae-8b21-45be-840a-0b238920bc0a,Mangrove Restoration,started,Restoring coastal ecosystems using mangrove plantations.,2023-01-01,2023-12-31
+0f75e25f-e45a-4e94-80df-76cf130314cd,Urban Tree Planting,started,Planting trees across the city for shade and air quality.,2023-02-01,2023-11-30
+b85a170b-368e-4176-aae7-ab223f0d31c5,River Clean-up Campaign,started,Mobilizing volunteers to clean plastic from major rivers.,2023-03-01,2023-09-30

src/DB/create_sqlite_db.py

@@ -0,0 +1,64 @@
+import sqlite3
+
+conn = sqlite3.connect('hello_earth_data.db')
+cursor = conn.cursor()
+
+cursor.execute('''
+CREATE TABLE IF NOT EXISTS Project (
+    project_id TEXT PRIMARY KEY,
+    title TEXT,
+    status TEXT,
+    detail_information TEXT,
+    start_date DATETIME,
+    end_date DATETIME
+)
+''')
+
+cursor.execute('''
+CREATE TABLE IF NOT EXISTS Deliverable (
+    deliverable_id TEXT PRIMARY KEY,
+    project_id TEXT,
+    title TEXT,
+    status TEXT CHECK(status IN ('done', 'ongoing')),
+    risk_level TEXT CHECK(risk_level IN ('green', 'yellow', 'red')),
+    risk_level_rationale TEXT,
+    start_date DATETIME,
+    end_date DATETIME,
+    FOREIGN KEY (project_id) REFERENCES Project(project_id)
+)
+''')
+
+cursor.execute('''
+CREATE TABLE IF NOT EXISTS Expense (
+    expense_id TEXT PRIMARY KEY,
+    associated_deliverable_id TEXT,
+    seller_name TEXT,
+    seller_address TEXT,
+    seller_phone_number TEXT,
+    buyer_name TEXT,
+    buyer_address TEXT,
+    transaction_date DATETIME,
+    total_payment_amount REAL,
+    expense_description TEXT,
+    status TEXT,
+    FOREIGN KEY (associated_deliverable_id) REFERENCES Deliverable(deliverable_id)
+)
+''')
+
+cursor.execute('''
+CREATE TABLE IF NOT EXISTS Deliverable_Budget (
+    id TEXT PRIMARY KEY,
+    deliverable_id TEXT,
+    wage REAL,
+    materials REAL,
+    tools_equipment REAL,
+    services REAL,
+    misc REAL,
+    FOREIGN KEY (deliverable_id) REFERENCES Deliverable(deliverable_id)
+)
+''')
+
+conn.commit()
+conn.close()
+
+print("SQLite database created with the specified schema.")

src/DB/export_data.py

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+import sqlite3
+import pandas as pd
+
+def export_all_tables_to_csv(db_path='hello_earth_data.db', output_dir='.'):
+    conn = sqlite3.connect(db_path)
+    cursor = conn.cursor()
+
+    # Get list of all tables
+    cursor.execute("SELECT name FROM sqlite_master WHERE type='table';")
+    tables = [row[0] for row in cursor.fetchall()]
+
+    # Export each table
+    for table in tables:
+        df = pd.read_sql_query(f"SELECT * FROM {table}", conn)
+        output_path = f"{output_dir}/{table}.csv"
+        df.to_csv(output_path, index=False)
+        print(f"✅ Exported {table} to {output_path}")
+
+    conn.close()
+
+if __name__ == '__main__':
+    export_all_tables_to_csv()

src/DB/mockup_data.py

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+import sqlite3
+import uuid
+
+def generate_uuid():
+    return str(uuid.uuid4())
+
+def insert_mock_data():
+    conn = sqlite3.connect('hello_earth_data.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": "2023-01-01",
+            "end_date": "2023-12-31"
+        },
+        "deliverables": [
+            {
+                "deliverable_id": deliverable_1_1_id,
+                "title": "Area Assessment",
+                "status": "done",
+                "risk_level": "green",
+                "risk_level_rationale": "No environmental threats detected.",
+                "start_date": "2023-01-05",
+                "end_date": "2023-03-01"
+            },
+            {
+                "deliverable_id": deliverable_1_2_id,
+                "title": "Planting Phase",
+                "status": "ongoing",
+                "risk_level": "yellow",
+                "risk_level_rationale": "Tide schedule interference.",
+                "start_date": "2023-03-15",
+                "end_date": "2023-08-30"
+            }
+        ],
+        "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": "2023-01-20",
+                "total_payment_amount": 1800.0,
+                "expense_description": "Survey equipment rental",
+                "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": "2023-02-01",
+            "end_date": "2023-11-30"
+        },
+        "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": "2023-02-05",
+                "end_date": "2023-04-01"
+            },
+            {
+                "deliverable_id": deliverable_2_2_id,
+                "title": "Planting Execution",
+                "status": "ongoing",
+                "risk_level": "red",
+                "risk_level_rationale": "Insufficient volunteer workforce.",
+                "start_date": "2023-04-10",
+                "end_date": "2023-10-15"
+            }
+        ],
+        "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": "2023-03-01",
+            "end_date": "2023-09-30"
+        },
+        "deliverables": [
+            {
+                "deliverable_id": deliverable_3_1_id,
+                "title": "Equipment Procurement",
+                "status": "done",
+                "risk_level": "green",
+                "risk_level_rationale": "Procurement completed on time.",
+                "start_date": "2023-03-05",
+                "end_date": "2023-04-01"
+            },
+            {
+                "deliverable_id": deliverable_3_2_id,
+                "title": "Volunteer Training",
+                "status": "ongoing",
+                "risk_level": "yellow",
+                "risk_level_rationale": "Training attendance dropped by 10%.",
+                "start_date": "2023-04-10",
+                "end_date": "2023-06-30"
+            }
+        ],
+        "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()