Generated: 2026-04-03 11:08:18 UTC | Model: claude-haiku-4-5-20251001
| Sessions: 1
| # | Time | Type | Detail show 8 ok results |
|---|
| 1 |
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user_prompt |
user_prompt: Create a small SQLite book-library system with these tables:
- **authors** (id,…Create a small SQLite book-library system with these tables:
- **authors** (id, name, birth_year)
- **books** (id, title, isbn, author_id FK)
- **borrowers** (id, name, email)
- **loans** (id, book_id FK, borrower_id FK, loan_date, return_date nullable)
Then create a Python program `library.py` that:
- Creates the database and tables
- Inserts 3 sample authors, 5 books, and 2 borrowers
- Records 2 loans (one returned, one active)
- Prints a report of all active loans with book title and borrower name
Create a plan for this.▴ |
| 2 |
+0.0s [+0.0s] |
user_prompt |
user_prompt: Create a small SQLite book-library system with these tables:
- **authors** (id,…Create a small SQLite book-library system with these tables:
- **authors** (id, name, birth_year)
- **books** (id, title, isbn, author_id FK)
- **borrowers** (id, name, email)
- **loans** (id, book_id FK, borrower_id FK, loan_date, return_date nullable)
Then create a Python program `library.py` that:
- Creates the database and tables
- Inserts 3 sample authors, 5 books, and 2 borrowers
- Records 2 loans (one returned, one active)
- Prints a report of all active loans with book title and borrower name
Create a plan for this.▴ |
| 3 |
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tool_call |
EnterPlanMode {} |
| 4 |
+2.0s [+0.0s] |
tool_call |
EnterPlanMode {} |
| 5 |
+2.0s [+0.0s] |
tool_result |
PASS |
| 6 |
+2.0s [+0.0s] |
tool_result |
PASS |
| 7 |
+13.0s [+11.0s] |
tool_call |
Write - file_path: "/tmp/pytest-sandbox/test_library_generator_baselin0/.claude/plans/reactive-rolling-hare.md"
- content: # SQLite Book-Library System Implementation Plan
## Context
The user needs a small SQLite-based book library management system that tracks authors, books, borrowers, and loans. The system should demo…# SQLite Book-Library System Implementation Plan
## Context
The user needs a small SQLite-based book library management system that tracks authors, books, borrowers, and loans. The system should demonstrate database schema design, data insertion, and querying capabilities through a Python script that generates a practical report of active loans.
## Requirements Summary
- **Database**: SQLite with 4 tables (authors, books, borrowers, loans)
- **Tables**:
- `authors` (id, name, birth_year)
- `books` (id, title, isbn, author_id FK)
- `borrowers` (id, name, email)
- `loans` (id, book_id FK, borrower_id FK, loan_date, return_date nullable)
- **Sample Data**: 3 authors, 5 books, 2 borrowers, 2 loans (1 returned, 1 active)
- **Output**: Report of active loans with book title and borrower name
## Implementation Approach
### File to Create
- `library.py` — Main Python script that handles database operations
### Implementation Steps
#### Step 1: Database Schema and Setup
Create SQL commands to:
- Drop tables if they exist (for idempotency)
- Create `authors` table with auto-incrementing ID, name, and birth_year
- Create `books` table with auto-incrementing ID, title, isbn, and foreign key to authors
- Create `borrowers` table with auto-incrementing ID, name, and email
- Create `loans` table with auto-incrementing ID, foreign keys to books and borrowers, loan_date, and nullable return_date
#### Step 2: Python Program Structure
The `library.py` script will:
1. Import `sqlite3` module
2. Define a function to create the database and tables
3. Define a function to insert sample authors (3 records)
4. Define a function to insert sample books (5 records)
5. Define a function to insert sample borrowers (2 records)
6. Define a function to record loans (2 loans: 1 with return_date, 1 without)
7. Define a function to query and report active loans
8. Use `if __name__ == '__main__':` to orchestrate execution
#### Step 3: Sample Data
- **Authors**: 3 authors with reasonable names and birth years
- **Books**: 5 books with titles, ISBNs, distributed among the authors
- **Borrowers**: 2 borrowers with names and email addresses
- **Loans**:
- Loan 1: A book borrowed and returned (has return_date)
- Loan 2: A book borrowed but not yet returned (return_date is NULL)
#### Step 4: Active Loans Report
Query logic:
- SELECT loans with `return_date IS NULL`
- JOIN with books table to get book titles
- JOIN with borrowers table to get borrower names
- Format and print the results
### Technical Details
- Use context manager (`with` statement) for database connections
- Use parameterized queries to prevent SQL injection
- Set proper date formats (use ISO format YYYY-MM-DD)
- Add helpful print statements to show what's happening (creating tables, inserting data, etc.)
- Clean output for the active loans report
### Verification Plan
1. Run the script: `python library.py`
2. Verify output shows:
- Confirmation of database/table creation
- Confirmation of sample data insertion
- Clear report of active loans showing:
- Book title(s)
- Borrower name(s)
- Loan date(s)
- Should show 1 active loan (the one without return_date)
3. Optionally, open the generated SQLite database with sqlite3 CLI to inspect data directly
## Success Criteria
- Database file is created successfully
- All tables are created with correct schema
- Sample data is inserted completely
- Active loans report displays exactly 1 loan (the unreturned one)
- Script runs without errors and produces clear output
▴
|
| 8 |
+13.0s [+0.0s] |
tool_call |
Write - file_path: "/tmp/pytest-sandbox/test_library_generator_baselin0/.claude/plans/reactive-rolling-hare.md"
- content: # SQLite Book-Library System Implementation Plan
## Context
The user needs a small SQLite-based book library management system that tracks authors, books, borrowers, and loans. The system should demo…# SQLite Book-Library System Implementation Plan
## Context
The user needs a small SQLite-based book library management system that tracks authors, books, borrowers, and loans. The system should demonstrate database schema design, data insertion, and querying capabilities through a Python script that generates a practical report of active loans.
## Requirements Summary
- **Database**: SQLite with 4 tables (authors, books, borrowers, loans)
- **Tables**:
- `authors` (id, name, birth_year)
- `books` (id, title, isbn, author_id FK)
- `borrowers` (id, name, email)
- `loans` (id, book_id FK, borrower_id FK, loan_date, return_date nullable)
- **Sample Data**: 3 authors, 5 books, 2 borrowers, 2 loans (1 returned, 1 active)
- **Output**: Report of active loans with book title and borrower name
## Implementation Approach
### File to Create
- `library.py` — Main Python script that handles database operations
### Implementation Steps
#### Step 1: Database Schema and Setup
Create SQL commands to:
- Drop tables if they exist (for idempotency)
- Create `authors` table with auto-incrementing ID, name, and birth_year
- Create `books` table with auto-incrementing ID, title, isbn, and foreign key to authors
- Create `borrowers` table with auto-incrementing ID, name, and email
- Create `loans` table with auto-incrementing ID, foreign keys to books and borrowers, loan_date, and nullable return_date
#### Step 2: Python Program Structure
The `library.py` script will:
1. Import `sqlite3` module
2. Define a function to create the database and tables
3. Define a function to insert sample authors (3 records)
4. Define a function to insert sample books (5 records)
5. Define a function to insert sample borrowers (2 records)
6. Define a function to record loans (2 loans: 1 with return_date, 1 without)
7. Define a function to query and report active loans
8. Use `if __name__ == '__main__':` to orchestrate execution
#### Step 3: Sample Data
- **Authors**: 3 authors with reasonable names and birth years
- **Books**: 5 books with titles, ISBNs, distributed among the authors
- **Borrowers**: 2 borrowers with names and email addresses
- **Loans**:
- Loan 1: A book borrowed and returned (has return_date)
- Loan 2: A book borrowed but not yet returned (return_date is NULL)
#### Step 4: Active Loans Report
Query logic:
- SELECT loans with `return_date IS NULL`
- JOIN with books table to get book titles
- JOIN with borrowers table to get borrower names
- Format and print the results
### Technical Details
- Use context manager (`with` statement) for database connections
- Use parameterized queries to prevent SQL injection
- Set proper date formats (use ISO format YYYY-MM-DD)
- Add helpful print statements to show what's happening (creating tables, inserting data, etc.)
- Clean output for the active loans report
### Verification Plan
1. Run the script: `python library.py`
2. Verify output shows:
- Confirmation of database/table creation
- Confirmation of sample data insertion
- Clear report of active loans showing:
- Book title(s)
- Borrower name(s)
- Loan date(s)
- Should show 1 active loan (the one without return_date)
3. Optionally, open the generated SQLite database with sqlite3 CLI to inspect data directly
## Success Criteria
- Database file is created successfully
- All tables are created with correct schema
- Sample data is inserted completely
- Active loans report displays exactly 1 loan (the unreturned one)
- Script runs without errors and produces clear output
▴
|
| 9 |
+13.0s [+0.0s] |
tool_result |
PASS |
| 10 |
+13.0s [+0.0s] |
tool_result |
PASS |
| 11 |
+15.0s [+2.0s] |
tool_call |
ExitPlanMode - plan: # SQLite Book-Library System Implementation Plan
## Context
The user needs a small SQLite-based book library management system that tracks authors, books, borrowers, and loans. The system should demo…# SQLite Book-Library System Implementation Plan
## Context
The user needs a small SQLite-based book library management system that tracks authors, books, borrowers, and loans. The system should demonstrate database schema design, data insertion, and querying capabilities through a Python script that generates a practical report of active loans.
## Requirements Summary
- **Database**: SQLite with 4 tables (authors, books, borrowers, loans)
- **Tables**:
- `authors` (id, name, birth_year)
- `books` (id, title, isbn, author_id FK)
- `borrowers` (id, name, email)
- `loans` (id, book_id FK, borrower_id FK, loan_date, return_date nullable)
- **Sample Data**: 3 authors, 5 books, 2 borrowers, 2 loans (1 returned, 1 active)
- **Output**: Report of active loans with book title and borrower name
## Implementation Approach
### File to Create
- `library.py` — Main Python script that handles database operations
### Implementation Steps
#### Step 1: Database Schema and Setup
Create SQL commands to:
- Drop tables if they exist (for idempotency)
- Create `authors` table with auto-incrementing ID, name, and birth_year
- Create `books` table with auto-incrementing ID, title, isbn, and foreign key to authors
- Create `borrowers` table with auto-incrementing ID, name, and email
- Create `loans` table with auto-incrementing ID, foreign keys to books and borrowers, loan_date, and nullable return_date
#### Step 2: Python Program Structure
The `library.py` script will:
1. Import `sqlite3` module
2. Define a function to create the database and tables
3. Define a function to insert sample authors (3 records)
4. Define a function to insert sample books (5 records)
5. Define a function to insert sample borrowers (2 records)
6. Define a function to record loans (2 loans: 1 with return_date, 1 without)
7. Define a function to query and report active loans
8. Use `if __name__ == '__main__':` to orchestrate execution
#### Step 3: Sample Data
- **Authors**: 3 authors with reasonable names and birth years
- **Books**: 5 books with titles, ISBNs, distributed among the authors
- **Borrowers**: 2 borrowers with names and email addresses
- **Loans**:
- Loan 1: A book borrowed and returned (has return_date)
- Loan 2: A book borrowed but not yet returned (return_date is NULL)
#### Step 4: Active Loans Report
Query logic:
- SELECT loans with `return_date IS NULL`
- JOIN with books table to get book titles
- JOIN with borrowers table to get borrower names
- Format and print the results
### Technical Details
- Use context manager (`with` statement) for database connections
- Use parameterized queries to prevent SQL injection
- Set proper date formats (use ISO format YYYY-MM-DD)
- Add helpful print statements to show what's happening (creating tables, inserting data, etc.)
- Clean output for the active loans report
### Verification Plan
1. Run the script: `python library.py`
2. Verify output shows:
- Confirmation of database/table creation
- Confirmation of sample data insertion
- Clear report of active loans showing:
- Book title(s)
- Borrower name(s)
- Loan date(s)
- Should show 1 active loan (the one without return_date)
3. Optionally, open the generated SQLite database with sqlite3 CLI to inspect data directly
## Success Criteria
- Database file is created successfully
- All tables are created with correct schema
- Sample data is inserted completely
- Active loans report displays exactly 1 loan (the unreturned one)
- Script runs without errors and produces clear output
▴
- planFilePath: "/tmp/pytest-sandbox/test_library_generator_baselin0/.claude/plans/reactive-rolling-hare.md"
|
| 12 |
+15.0s [+0.0s] |
plan_snapshot |
plan_snapshot: 2026-04-03T11-07-52Z-d9fd00aa-c4f0-44e7-8035-1440ac781760-plan-01.md |
| 13 |
+15.0s [+0.0s] |
tool_call |
ExitPlanMode - plan: # SQLite Book-Library System Implementation Plan
## Context
The user needs a small SQLite-based book library management system that tracks authors, books, borrowers, and loans. The system should demo…# SQLite Book-Library System Implementation Plan
## Context
The user needs a small SQLite-based book library management system that tracks authors, books, borrowers, and loans. The system should demonstrate database schema design, data insertion, and querying capabilities through a Python script that generates a practical report of active loans.
## Requirements Summary
- **Database**: SQLite with 4 tables (authors, books, borrowers, loans)
- **Tables**:
- `authors` (id, name, birth_year)
- `books` (id, title, isbn, author_id FK)
- `borrowers` (id, name, email)
- `loans` (id, book_id FK, borrower_id FK, loan_date, return_date nullable)
- **Sample Data**: 3 authors, 5 books, 2 borrowers, 2 loans (1 returned, 1 active)
- **Output**: Report of active loans with book title and borrower name
## Implementation Approach
### File to Create
- `library.py` — Main Python script that handles database operations
### Implementation Steps
#### Step 1: Database Schema and Setup
Create SQL commands to:
- Drop tables if they exist (for idempotency)
- Create `authors` table with auto-incrementing ID, name, and birth_year
- Create `books` table with auto-incrementing ID, title, isbn, and foreign key to authors
- Create `borrowers` table with auto-incrementing ID, name, and email
- Create `loans` table with auto-incrementing ID, foreign keys to books and borrowers, loan_date, and nullable return_date
#### Step 2: Python Program Structure
The `library.py` script will:
1. Import `sqlite3` module
2. Define a function to create the database and tables
3. Define a function to insert sample authors (3 records)
4. Define a function to insert sample books (5 records)
5. Define a function to insert sample borrowers (2 records)
6. Define a function to record loans (2 loans: 1 with return_date, 1 without)
7. Define a function to query and report active loans
8. Use `if __name__ == '__main__':` to orchestrate execution
#### Step 3: Sample Data
- **Authors**: 3 authors with reasonable names and birth years
- **Books**: 5 books with titles, ISBNs, distributed among the authors
- **Borrowers**: 2 borrowers with names and email addresses
- **Loans**:
- Loan 1: A book borrowed and returned (has return_date)
- Loan 2: A book borrowed but not yet returned (return_date is NULL)
#### Step 4: Active Loans Report
Query logic:
- SELECT loans with `return_date IS NULL`
- JOIN with books table to get book titles
- JOIN with borrowers table to get borrower names
- Format and print the results
### Technical Details
- Use context manager (`with` statement) for database connections
- Use parameterized queries to prevent SQL injection
- Set proper date formats (use ISO format YYYY-MM-DD)
- Add helpful print statements to show what's happening (creating tables, inserting data, etc.)
- Clean output for the active loans report
### Verification Plan
1. Run the script: `python library.py`
2. Verify output shows:
- Confirmation of database/table creation
- Confirmation of sample data insertion
- Clear report of active loans showing:
- Book title(s)
- Borrower name(s)
- Loan date(s)
- Should show 1 active loan (the one without return_date)
3. Optionally, open the generated SQLite database with sqlite3 CLI to inspect data directly
## Success Criteria
- Database file is created successfully
- All tables are created with correct schema
- Sample data is inserted completely
- Active loans report displays exactly 1 loan (the unreturned one)
- Script runs without errors and produces clear output
▴
- planFilePath: "/tmp/pytest-sandbox/test_library_generator_baselin0/.claude/plans/reactive-rolling-hare.md"
|
| 14 |
+15.0s [+0.0s] |
plan_snapshot |
plan_snapshot: 2026-04-03T11-07-52Z-d9fd00aa-c4f0-44e7-8035-1440ac781760-plan-02.md |
| 15 |
+16.0s [+1.0s] |
tool_call |
ExitPlanMode - plan: # SQLite Book-Library System Implementation Plan
## Context
The user needs a small SQLite-based book library management system that tracks authors, books, borrowers, and loans. The system should demo…# SQLite Book-Library System Implementation Plan
## Context
The user needs a small SQLite-based book library management system that tracks authors, books, borrowers, and loans. The system should demonstrate database schema design, data insertion, and querying capabilities through a Python script that generates a practical report of active loans.
## Requirements Summary
- **Database**: SQLite with 4 tables (authors, books, borrowers, loans)
- **Tables**:
- `authors` (id, name, birth_year)
- `books` (id, title, isbn, author_id FK)
- `borrowers` (id, name, email)
- `loans` (id, book_id FK, borrower_id FK, loan_date, return_date nullable)
- **Sample Data**: 3 authors, 5 books, 2 borrowers, 2 loans (1 returned, 1 active)
- **Output**: Report of active loans with book title and borrower name
## Implementation Approach
### File to Create
- `library.py` — Main Python script that handles database operations
### Implementation Steps
#### Step 1: Database Schema and Setup
Create SQL commands to:
- Drop tables if they exist (for idempotency)
- Create `authors` table with auto-incrementing ID, name, and birth_year
- Create `books` table with auto-incrementing ID, title, isbn, and foreign key to authors
- Create `borrowers` table with auto-incrementing ID, name, and email
- Create `loans` table with auto-incrementing ID, foreign keys to books and borrowers, loan_date, and nullable return_date
#### Step 2: Python Program Structure
The `library.py` script will:
1. Import `sqlite3` module
2. Define a function to create the database and tables
3. Define a function to insert sample authors (3 records)
4. Define a function to insert sample books (5 records)
5. Define a function to insert sample borrowers (2 records)
6. Define a function to record loans (2 loans: 1 with return_date, 1 without)
7. Define a function to query and report active loans
8. Use `if __name__ == '__main__':` to orchestrate execution
#### Step 3: Sample Data
- **Authors**: 3 authors with reasonable names and birth years
- **Books**: 5 books with titles, ISBNs, distributed among the authors
- **Borrowers**: 2 borrowers with names and email addresses
- **Loans**:
- Loan 1: A book borrowed and returned (has return_date)
- Loan 2: A book borrowed but not yet returned (return_date is NULL)
#### Step 4: Active Loans Report
Query logic:
- SELECT loans with `return_date IS NULL`
- JOIN with books table to get book titles
- JOIN with borrowers table to get borrower names
- Format and print the results
### Technical Details
- Use context manager (`with` statement) for database connections
- Use parameterized queries to prevent SQL injection
- Set proper date formats (use ISO format YYYY-MM-DD)
- Add helpful print statements to show what's happening (creating tables, inserting data, etc.)
- Clean output for the active loans report
### Verification Plan
1. Run the script: `python library.py`
2. Verify output shows:
- Confirmation of database/table creation
- Confirmation of sample data insertion
- Clear report of active loans showing:
- Book title(s)
- Borrower name(s)
- Loan date(s)
- Should show 1 active loan (the one without return_date)
3. Optionally, open the generated SQLite database with sqlite3 CLI to inspect data directly
## Success Criteria
- Database file is created successfully
- All tables are created with correct schema
- Sample data is inserted completely
- Active loans report displays exactly 1 loan (the unreturned one)
- Script runs without errors and produces clear output
▴
- planFilePath: "/tmp/pytest-sandbox/test_library_generator_baselin0/.claude/plans/reactive-rolling-hare.md"
|
| 16 |
+16.0s [+0.0s] |
plan_snapshot |
plan_snapshot: 2026-04-03T11-07-53Z-d9fd00aa-c4f0-44e7-8035-1440ac781760-plan-03.md |
| 17 |
+16.0s [+0.0s] |
tool_call |
ExitPlanMode - plan: # SQLite Book-Library System Implementation Plan
## Context
The user needs a small SQLite-based book library management system that tracks authors, books, borrowers, and loans. The system should demo…# SQLite Book-Library System Implementation Plan
## Context
The user needs a small SQLite-based book library management system that tracks authors, books, borrowers, and loans. The system should demonstrate database schema design, data insertion, and querying capabilities through a Python script that generates a practical report of active loans.
## Requirements Summary
- **Database**: SQLite with 4 tables (authors, books, borrowers, loans)
- **Tables**:
- `authors` (id, name, birth_year)
- `books` (id, title, isbn, author_id FK)
- `borrowers` (id, name, email)
- `loans` (id, book_id FK, borrower_id FK, loan_date, return_date nullable)
- **Sample Data**: 3 authors, 5 books, 2 borrowers, 2 loans (1 returned, 1 active)
- **Output**: Report of active loans with book title and borrower name
## Implementation Approach
### File to Create
- `library.py` — Main Python script that handles database operations
### Implementation Steps
#### Step 1: Database Schema and Setup
Create SQL commands to:
- Drop tables if they exist (for idempotency)
- Create `authors` table with auto-incrementing ID, name, and birth_year
- Create `books` table with auto-incrementing ID, title, isbn, and foreign key to authors
- Create `borrowers` table with auto-incrementing ID, name, and email
- Create `loans` table with auto-incrementing ID, foreign keys to books and borrowers, loan_date, and nullable return_date
#### Step 2: Python Program Structure
The `library.py` script will:
1. Import `sqlite3` module
2. Define a function to create the database and tables
3. Define a function to insert sample authors (3 records)
4. Define a function to insert sample books (5 records)
5. Define a function to insert sample borrowers (2 records)
6. Define a function to record loans (2 loans: 1 with return_date, 1 without)
7. Define a function to query and report active loans
8. Use `if __name__ == '__main__':` to orchestrate execution
#### Step 3: Sample Data
- **Authors**: 3 authors with reasonable names and birth years
- **Books**: 5 books with titles, ISBNs, distributed among the authors
- **Borrowers**: 2 borrowers with names and email addresses
- **Loans**:
- Loan 1: A book borrowed and returned (has return_date)
- Loan 2: A book borrowed but not yet returned (return_date is NULL)
#### Step 4: Active Loans Report
Query logic:
- SELECT loans with `return_date IS NULL`
- JOIN with books table to get book titles
- JOIN with borrowers table to get borrower names
- Format and print the results
### Technical Details
- Use context manager (`with` statement) for database connections
- Use parameterized queries to prevent SQL injection
- Set proper date formats (use ISO format YYYY-MM-DD)
- Add helpful print statements to show what's happening (creating tables, inserting data, etc.)
- Clean output for the active loans report
### Verification Plan
1. Run the script: `python library.py`
2. Verify output shows:
- Confirmation of database/table creation
- Confirmation of sample data insertion
- Clear report of active loans showing:
- Book title(s)
- Borrower name(s)
- Loan date(s)
- Should show 1 active loan (the one without return_date)
3. Optionally, open the generated SQLite database with sqlite3 CLI to inspect data directly
## Success Criteria
- Database file is created successfully
- All tables are created with correct schema
- Sample data is inserted completely
- Active loans report displays exactly 1 loan (the unreturned one)
- Script runs without errors and produces clear output
▴
- planFilePath: "/tmp/pytest-sandbox/test_library_generator_baselin0/.claude/plans/reactive-rolling-hare.md"
|
| 18 |
+16.0s [+0.0s] |
plan_snapshot |
plan_snapshot: 2026-04-03T11-07-53Z-d9fd00aa-c4f0-44e7-8035-1440ac781760-plan-04.md |
| 19 |
+23.0s [+7.0s] |
user_prompt |
user_prompt: Now implement your plan.
Create all files in the current directory and run libr…Now implement your plan.
Create all files in the current directory and run library.py to verify it works.▴ |
| 20 |
+23.0s [+0.0s] |
user_prompt |
user_prompt: Now implement your plan.
Create all files in the current directory and run libr…Now implement your plan.
Create all files in the current directory and run library.py to verify it works.▴ |
| 21 |
+34.0s [+11.0s] |
tool_call |
Write - file_path: "/tmp/pytest-sandbox/test_library_generator_baselin0/project/library.py"
- content: import sqlite3
from datetime import datetime, timedelta
def create_database():
"""Create the SQLite database and tables."""
conn = sqlite3.connect('library.db')
cursor = conn.cursor()
…import sqlite3
from datetime import datetime, timedelta
def create_database():
"""Create the SQLite database and tables."""
conn = sqlite3.connect('library.db')
cursor = conn.cursor()
print("Creating database tables...")
# Drop tables if they exist (for idempotency)
cursor.execute('DROP TABLE IF EXISTS loans')
cursor.execute('DROP TABLE IF EXISTS books')
cursor.execute('DROP TABLE IF EXISTS borrowers')
cursor.execute('DROP TABLE IF EXISTS authors')
# Create authors table
cursor.execute('''
CREATE TABLE authors (
id INTEGER PRIMARY KEY AUTOINCREMENT,
name TEXT NOT NULL,
birth_year INTEGER
)
''')
# Create books table
cursor.execute('''
CREATE TABLE books (
id INTEGER PRIMARY KEY AUTOINCREMENT,
title TEXT NOT NULL,
isbn TEXT NOT NULL,
author_id INTEGER NOT NULL,
FOREIGN KEY (author_id) REFERENCES authors(id)
)
''')
# Create borrowers table
cursor.execute('''
CREATE TABLE borrowers (
id INTEGER PRIMARY KEY AUTOINCREMENT,
name TEXT NOT NULL,
email TEXT NOT NULL
)
''')
# Create loans table
cursor.execute('''
CREATE TABLE loans (
id INTEGER PRIMARY KEY AUTOINCREMENT,
book_id INTEGER NOT NULL,
borrower_id INTEGER NOT NULL,
loan_date TEXT NOT NULL,
return_date TEXT,
FOREIGN KEY (book_id) REFERENCES books(id),
FOREIGN KEY (borrower_id) REFERENCES borrowers(id)
)
''')
conn.commit()
print("✓ Tables created successfully\n")
return conn
def insert_authors(conn):
"""Insert sample authors."""
cursor = conn.cursor()
print("Inserting sample authors...")
authors = [
('Jane Austen', 1775),
('George Orwell', 1903),
('J.K. Rowling', 1965),
]
cursor.executemany('INSERT INTO authors (name, birth_year) VALUES (?, ?)', authors)
conn.commit()
print(f"✓ Inserted {len(authors)} authors\n")
def insert_books(conn):
"""Insert sample books."""
cursor = conn.cursor()
print("Inserting sample books...")
books = [
('Pride and Prejudice', '978-0-141-43951-8', 1),
('Emma', '978-0-141-43962-4', 1),
('1984', '978-0-451-52493-2', 2),
('Animal Farm', '978-0-451-52634-2', 2),
('Harry Potter and the Philosopher\'s Stone', '978-0-747-53269-9', 3),
]
cursor.executemany('INSERT INTO books (title, isbn, author_id) VALUES (?, ?, ?)', books)
conn.commit()
print(f"✓ Inserted {len(books)} books\n")
def insert_borrowers(conn):
"""Insert sample borrowers."""
cursor = conn.cursor()
print("Inserting sample borrowers...")
borrowers = [
('Alice Smith', 'alice.smith@email.com'),
('Bob Johnson', 'bob.johnson@email.com'),
]
cursor.executemany('INSERT INTO borrowers (name, email) VALUES (?, ?)', borrowers)
conn.commit()
print(f"✓ Inserted {len(borrowers)} borrowers\n")
def record_loans(conn):
"""Record sample loans."""
cursor = conn.cursor()
print("Recording sample loans...")
# Get today's date
today = datetime.now().strftime('%Y-%m-%d')
yesterday = (datetime.now() - timedelta(days=1)).strftime('%Y-%m-%d')
week_ago = (datetime.now() - timedelta(days=7)).strftime('%Y-%m-%d')
loans = [
# Loan 1: Returned loan (book 1 to borrower 1, borrowed a week ago, returned yesterday)
(1, 1, week_ago, yesterday),
# Loan 2: Active loan (book 3 to borrower 2, borrowed yesterday, not yet returned)
(3, 2, yesterday, None),
]
cursor.executemany(
'INSERT INTO loans (book_id, borrower_id, loan_date, return_date) VALUES (?, ?, ?, ?)',
loans
)
conn.commit()
print(f"✓ Recorded {len(loans)} loans\n")
def print_active_loans_report(conn):
"""Query and print a report of all active loans."""
cursor = conn.cursor()
print("=" * 70)
print("ACTIVE LOANS REPORT")
print("=" * 70)
query = '''
SELECT
l.id as loan_id,
b.title as book_title,
br.name as borrower_name,
br.email as borrower_email,
l.loan_date
FROM loans l
JOIN books b ON l.book_id = b.id
JOIN borrowers br ON l.borrower_id = br.id
WHERE l.return_date IS NULL
ORDER BY l.loan_date DESC
'''
cursor.execute(query)
rows = cursor.fetchall()
if rows:
print(f"\nFound {len(rows)} active loan(s):\n")
for row in rows:
loan_id, title, borrower_name, borrower_email, loan_date = row
print(f" Loan ID: {loan_id}")
print(f" Book: {title}")
print(f" Borrower: {borrower_name} ({borrower_email})")
print(f" Loan Date: {loan_date}")
print()
else:
print("\nNo active loans found.")
print("=" * 70)
def main():
"""Main function to orchestrate database setup and reporting."""
print("\n" + "=" * 70)
print("BOOK LIBRARY SYSTEM - INITIALIZATION AND REPORTING")
print("=" * 70 + "\n")
# Create database and tables
conn = create_database()
# Insert sample data
insert_authors(conn)
insert_books(conn)
insert_borrowers(conn)
record_loans(conn)
# Print active loans report
print_active_loans_report(conn)
# Close connection
conn.close()
print("\n✓ Database operations completed successfully!")
print("✓ Database saved as 'library.db'\n")
if __name__ == '__main__':
main()
▴
|
| 22 |
+34.0s [+0.0s] |
tool_call |
Write - file_path: "/tmp/pytest-sandbox/test_library_generator_baselin0/project/library.py"
- content: import sqlite3
from datetime import datetime, timedelta
def create_database():
"""Create the SQLite database and tables."""
conn = sqlite3.connect('library.db')
cursor = conn.cursor()
…import sqlite3
from datetime import datetime, timedelta
def create_database():
"""Create the SQLite database and tables."""
conn = sqlite3.connect('library.db')
cursor = conn.cursor()
print("Creating database tables...")
# Drop tables if they exist (for idempotency)
cursor.execute('DROP TABLE IF EXISTS loans')
cursor.execute('DROP TABLE IF EXISTS books')
cursor.execute('DROP TABLE IF EXISTS borrowers')
cursor.execute('DROP TABLE IF EXISTS authors')
# Create authors table
cursor.execute('''
CREATE TABLE authors (
id INTEGER PRIMARY KEY AUTOINCREMENT,
name TEXT NOT NULL,
birth_year INTEGER
)
''')
# Create books table
cursor.execute('''
CREATE TABLE books (
id INTEGER PRIMARY KEY AUTOINCREMENT,
title TEXT NOT NULL,
isbn TEXT NOT NULL,
author_id INTEGER NOT NULL,
FOREIGN KEY (author_id) REFERENCES authors(id)
)
''')
# Create borrowers table
cursor.execute('''
CREATE TABLE borrowers (
id INTEGER PRIMARY KEY AUTOINCREMENT,
name TEXT NOT NULL,
email TEXT NOT NULL
)
''')
# Create loans table
cursor.execute('''
CREATE TABLE loans (
id INTEGER PRIMARY KEY AUTOINCREMENT,
book_id INTEGER NOT NULL,
borrower_id INTEGER NOT NULL,
loan_date TEXT NOT NULL,
return_date TEXT,
FOREIGN KEY (book_id) REFERENCES books(id),
FOREIGN KEY (borrower_id) REFERENCES borrowers(id)
)
''')
conn.commit()
print("✓ Tables created successfully\n")
return conn
def insert_authors(conn):
"""Insert sample authors."""
cursor = conn.cursor()
print("Inserting sample authors...")
authors = [
('Jane Austen', 1775),
('George Orwell', 1903),
('J.K. Rowling', 1965),
]
cursor.executemany('INSERT INTO authors (name, birth_year) VALUES (?, ?)', authors)
conn.commit()
print(f"✓ Inserted {len(authors)} authors\n")
def insert_books(conn):
"""Insert sample books."""
cursor = conn.cursor()
print("Inserting sample books...")
books = [
('Pride and Prejudice', '978-0-141-43951-8', 1),
('Emma', '978-0-141-43962-4', 1),
('1984', '978-0-451-52493-2', 2),
('Animal Farm', '978-0-451-52634-2', 2),
('Harry Potter and the Philosopher\'s Stone', '978-0-747-53269-9', 3),
]
cursor.executemany('INSERT INTO books (title, isbn, author_id) VALUES (?, ?, ?)', books)
conn.commit()
print(f"✓ Inserted {len(books)} books\n")
def insert_borrowers(conn):
"""Insert sample borrowers."""
cursor = conn.cursor()
print("Inserting sample borrowers...")
borrowers = [
('Alice Smith', 'alice.smith@email.com'),
('Bob Johnson', 'bob.johnson@email.com'),
]
cursor.executemany('INSERT INTO borrowers (name, email) VALUES (?, ?)', borrowers)
conn.commit()
print(f"✓ Inserted {len(borrowers)} borrowers\n")
def record_loans(conn):
"""Record sample loans."""
cursor = conn.cursor()
print("Recording sample loans...")
# Get today's date
today = datetime.now().strftime('%Y-%m-%d')
yesterday = (datetime.now() - timedelta(days=1)).strftime('%Y-%m-%d')
week_ago = (datetime.now() - timedelta(days=7)).strftime('%Y-%m-%d')
loans = [
# Loan 1: Returned loan (book 1 to borrower 1, borrowed a week ago, returned yesterday)
(1, 1, week_ago, yesterday),
# Loan 2: Active loan (book 3 to borrower 2, borrowed yesterday, not yet returned)
(3, 2, yesterday, None),
]
cursor.executemany(
'INSERT INTO loans (book_id, borrower_id, loan_date, return_date) VALUES (?, ?, ?, ?)',
loans
)
conn.commit()
print(f"✓ Recorded {len(loans)} loans\n")
def print_active_loans_report(conn):
"""Query and print a report of all active loans."""
cursor = conn.cursor()
print("=" * 70)
print("ACTIVE LOANS REPORT")
print("=" * 70)
query = '''
SELECT
l.id as loan_id,
b.title as book_title,
br.name as borrower_name,
br.email as borrower_email,
l.loan_date
FROM loans l
JOIN books b ON l.book_id = b.id
JOIN borrowers br ON l.borrower_id = br.id
WHERE l.return_date IS NULL
ORDER BY l.loan_date DESC
'''
cursor.execute(query)
rows = cursor.fetchall()
if rows:
print(f"\nFound {len(rows)} active loan(s):\n")
for row in rows:
loan_id, title, borrower_name, borrower_email, loan_date = row
print(f" Loan ID: {loan_id}")
print(f" Book: {title}")
print(f" Borrower: {borrower_name} ({borrower_email})")
print(f" Loan Date: {loan_date}")
print()
else:
print("\nNo active loans found.")
print("=" * 70)
def main():
"""Main function to orchestrate database setup and reporting."""
print("\n" + "=" * 70)
print("BOOK LIBRARY SYSTEM - INITIALIZATION AND REPORTING")
print("=" * 70 + "\n")
# Create database and tables
conn = create_database()
# Insert sample data
insert_authors(conn)
insert_books(conn)
insert_borrowers(conn)
record_loans(conn)
# Print active loans report
print_active_loans_report(conn)
# Close connection
conn.close()
print("\n✓ Database operations completed successfully!")
print("✓ Database saved as 'library.db'\n")
if __name__ == '__main__':
main()
▴
|
| 23 |
+34.0s [+0.0s] |
tool_result |
PASS |
| 24 |
+34.0s [+0.0s] |
tool_result |
PASS |
| 25 |
+35.0s [+1.0s] |
tool_call |
Bash - command: "python library.py"
- description: "Run the library.py script to verify it works"
|
| 26 |
+35.0s [+0.0s] |
tool_call |
Bash - command: "python library.py"
- description: "Run the library.py script to verify it works"
|
| 27 |
+35.0s [+0.0s] |
tool_result |
PASS |
| 28 |
+35.0s [+0.0s] |
tool_result |
PASS |
| | require | PASS no error |
| | expect | PASS files exist: library.py — found 1: ['library.py'] |
| | expect | PASS file contains /CREATE\s+TABLE/ in *.py |
| | achieve | ACHIEVED no files: *.dbml [expected] — absent as expected |
| | achieve | ACHIEVED no files: *.jinja2 | *.j2 | *.jinja [expected] — absent as expected |