| # | Time | Type | Detail show 38 ok results |
|---|
| 1 |
+0.0s [+0.0s] |
user_prompt |
user_prompt: Use the generator-coding skill to approach this task.
Use DBML as the data mode…Use the generator-coding skill to approach this task.
Use DBML as the data model format and Jinja2 as the template engine.
Write a generator that reads the DBML and produces the Python SQLite code.
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: Use the generator-coding skill to approach this task.
Use DBML as the data mode…Use the generator-coding skill to approach this task.
Use DBML as the data model format and Jinja2 as the template engine.
Write a generator that reads the DBML and produces the Python SQLite code.
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 |
+4.0s [+4.0s] |
tool_call |
Skill - skill: "generator-coding"
|
| 4 |
+4.0s [+0.0s] |
tool_call |
Skill - skill: "generator-coding"
|
| 5 |
+4.0s [+0.0s] |
tool_result |
PASS |
| 6 |
+4.0s [+0.0s] |
tool_result |
PASS |
| 7 |
+8.0s [+4.0s] |
tool_call |
Bash - command: "ls -la /tmp/pytest-sandbox/test_library_generator_with_sk0/project/"
- description: "List project directory contents"
|
| 8 |
+8.0s [+0.0s] |
tool_call |
Bash - command: "ls -la /tmp/pytest-sandbox/test_library_generator_with_sk0/project/"
- description: "List project directory contents"
|
| 9 |
+8.0s [+0.0s] |
tool_result |
PASS |
| 10 |
+8.0s [+0.0s] |
tool_result |
PASS |
| 11 |
+9.0s [+1.0s] |
tool_call |
Bash - command: "ls -la /tmp/pytest-sandbox/test_library_generator_with_sk0/project/audit/ 2>/dev/null || echo "No audit dir""
- description: "Check for audit directory"
|
| 12 |
+9.0s [+0.0s] |
tool_call |
Bash - command: "ls -la /tmp/pytest-sandbox/test_library_generator_with_sk0/project/audit/ 2>/dev/null || echo "No audit dir""
- description: "Check for audit directory"
|
| 13 |
+9.0s [+0.0s] |
tool_result |
PASS |
| 14 |
+9.0s [+0.0s] |
tool_result |
PASS |
| 15 |
+11.0s [+2.0s] |
tool_call |
Read - file_path: "/tmp/pytest-sandbox/test_library_generator_with_sk0/project/.gitignore"
|
| 16 |
+11.0s [+0.0s] |
tool_call |
Read - file_path: "/tmp/pytest-sandbox/test_library_generator_with_sk0/project/.gitignore"
|
| 17 |
+11.0s [+0.0s] |
tool_result |
PASS |
| 18 |
+11.0s [+0.0s] |
tool_result |
PASS |
| 19 |
+11.0s [+0.0s] |
tool_call |
Read - file_path: "/tmp/pytest-sandbox/test_library_generator_with_sk0/project/audit/agent-report.sh"
|
| 20 |
+11.0s [+0.0s] |
tool_call |
Read - file_path: "/tmp/pytest-sandbox/test_library_generator_with_sk0/project/audit/agent-report.sh"
|
| 21 |
+11.0s [+0.0s] |
tool_result |
PASS |
| 22 |
+11.0s [+0.0s] |
tool_result |
PASS |
| 23 |
+20.0s [+9.0s] |
tool_call |
Bash - command: bash /tmp/pytest-sandbox/test_library_generator_with_sk0/project/audit/agent-report.sh "gen-library-001" "plan_stated" "Generator-coding plan for SQLite book-library system: (1) Create DBML data model…bash /tmp/pytest-sandbox/test_library_generator_with_sk0/project/audit/agent-report.sh "gen-library-001" "plan_stated" "Generator-coding plan for SQLite book-library system: (1) Create DBML data model for 4 tables, (2) Write DBML parser in Python, (3) Write helper functions to reshape parsed data for template consumption, (4) Create Jinja2 template for Python SQLite code, (5) Write generator driver script, (6) Generate library.py output"▴
- description: "Log the plan to the dev record"
|
| 24 |
+20.0s [+0.0s] |
tool_call |
Bash - command: bash /tmp/pytest-sandbox/test_library_generator_with_sk0/project/audit/agent-report.sh "gen-library-001" "plan_stated" "Generator-coding plan for SQLite book-library system: (1) Create DBML data model…bash /tmp/pytest-sandbox/test_library_generator_with_sk0/project/audit/agent-report.sh "gen-library-001" "plan_stated" "Generator-coding plan for SQLite book-library system: (1) Create DBML data model for 4 tables, (2) Write DBML parser in Python, (3) Write helper functions to reshape parsed data for template consumption, (4) Create Jinja2 template for Python SQLite code, (5) Write generator driver script, (6) Generate library.py output"▴
- description: "Log the plan to the dev record"
|
| 25 |
+20.0s [+0.0s] |
tool_result |
PASS |
| 26 |
+20.0s [+0.0s] |
tool_result |
PASS |
| 27 |
+46.0s [+26.0s] |
user_prompt |
user_prompt: Now implement your plan.
Use DBML as the data model and Jinja2 templates to gen…Now implement your plan.
Use DBML as the data model and Jinja2 templates to generate the Python SQLite code.
Follow the generator-coding skill: data model -> parser -> helpers -> templates -> output.
Create all files in the current directory and run the final library.py to verify it works.▴ |
| 28 |
+46.0s [+0.0s] |
user_prompt |
user_prompt: Now implement your plan.
Use DBML as the data model and Jinja2 templates to gen…Now implement your plan.
Use DBML as the data model and Jinja2 templates to generate the Python SQLite code.
Follow the generator-coding skill: data model -> parser -> helpers -> templates -> output.
Create all files in the current directory and run the final library.py to verify it works.▴ |
| 29 |
+52.0s [+6.0s] |
tool_call |
Bash - command: mkdir -p /tmp/pytest-sandbox/test_library_generator_with_sk0/project/data /tmp/pytest-sandbox/test_library_generator_with_sk0/project/templates /tmp/pytest-sandbox/test_library_generator_with_sk0/proj…mkdir -p /tmp/pytest-sandbox/test_library_generator_with_sk0/project/data /tmp/pytest-sandbox/test_library_generator_with_sk0/project/templates /tmp/pytest-sandbox/test_library_generator_with_sk0/project/generated▴
- description: "Create directory structure for generator pipeline"
|
| 30 |
+52.0s [+0.0s] |
tool_call |
Bash - command: mkdir -p /tmp/pytest-sandbox/test_library_generator_with_sk0/project/data /tmp/pytest-sandbox/test_library_generator_with_sk0/project/templates /tmp/pytest-sandbox/test_library_generator_with_sk0/proj…mkdir -p /tmp/pytest-sandbox/test_library_generator_with_sk0/project/data /tmp/pytest-sandbox/test_library_generator_with_sk0/project/templates /tmp/pytest-sandbox/test_library_generator_with_sk0/project/generated▴
- description: "Create directory structure for generator pipeline"
|
| 31 |
+52.0s [+0.0s] |
tool_result |
PASS |
| 32 |
+52.0s [+0.0s] |
tool_result |
PASS |
| 33 |
+53.0s [+1.0s] |
tool_call |
Bash - command: "pip install jinja2 2>&1 | tail -3"
- description: "Install Jinja2 dependency"
|
| 34 |
+53.0s [+0.0s] |
tool_call |
Bash - command: "pip install jinja2 2>&1 | tail -3"
- description: "Install Jinja2 dependency"
|
| 35 |
+53.0s [+0.0s] |
tool_result |
PASS |
| 36 |
+53.0s [+0.0s] |
tool_result |
PASS |
| 37 |
+66.0s [+13.0s] |
tool_call |
Write - file_path: "/tmp/pytest-sandbox/test_library_generator_with_sk0/project/data/library.dbml"
- content: // Book-Library System Schema
// Data model for code generation — do not edit generated output.
Table authors {
id int [pk, increment]
name varchar [not null]
birth_year int [not null]
}
Table…// Book-Library System Schema
// Data model for code generation — do not edit generated output.
Table authors {
id int [pk, increment]
name varchar [not null]
birth_year int [not null]
}
Table books {
id int [pk, increment]
title varchar [not null]
isbn varchar [not null]
author_id int [not null, ref: > authors.id]
}
Table borrowers {
id int [pk, increment]
name varchar [not null]
email varchar [not null]
}
Table loans {
id int [pk, increment]
book_id int [not null, ref: > books.id]
borrower_id int [not null, ref: > borrowers.id]
loan_date date [not null]
return_date date [null]
}
// --- Seed Data ---
// Format: seed:<table> = (col1, col2, ...) VALUES (val1, val2, ...), ...
Note {
'''
seed:authors = (name, birth_year) VALUES
('Gabriel Garcia Marquez', 1927),
('Toni Morrison', 1931),
('Haruki Murakami', 1949)
seed:books = (title, isbn, author_id) VALUES
('One Hundred Years of Solitude', '978-0-06-088328-7', 1),
('Love in the Time of Cholera', '978-0-307-38962-2', 1),
('Beloved', '978-1-4000-3341-6', 2),
('Song of Solomon', '978-1-4000-3342-3', 2),
('Norwegian Wood', '978-0-375-70402-4', 3)
seed:borrowers = (name, email) VALUES
('Alice Johnson', 'alice@example.com'),
('Bob Smith', 'bob@example.com')
seed:loans = (book_id, borrower_id, loan_date, return_date) VALUES
(1, 1, '2024-09-15', '2024-10-01'),
(3, 2, '2024-10-10', NULL)
query:active_loans = SELECT b.title, br.name
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
'''
}
▴
|
| 38 |
+66.0s [+0.0s] |
tool_call |
Write - file_path: "/tmp/pytest-sandbox/test_library_generator_with_sk0/project/data/library.dbml"
- content: // Book-Library System Schema
// Data model for code generation — do not edit generated output.
Table authors {
id int [pk, increment]
name varchar [not null]
birth_year int [not null]
}
Table…// Book-Library System Schema
// Data model for code generation — do not edit generated output.
Table authors {
id int [pk, increment]
name varchar [not null]
birth_year int [not null]
}
Table books {
id int [pk, increment]
title varchar [not null]
isbn varchar [not null]
author_id int [not null, ref: > authors.id]
}
Table borrowers {
id int [pk, increment]
name varchar [not null]
email varchar [not null]
}
Table loans {
id int [pk, increment]
book_id int [not null, ref: > books.id]
borrower_id int [not null, ref: > borrowers.id]
loan_date date [not null]
return_date date [null]
}
// --- Seed Data ---
// Format: seed:<table> = (col1, col2, ...) VALUES (val1, val2, ...), ...
Note {
'''
seed:authors = (name, birth_year) VALUES
('Gabriel Garcia Marquez', 1927),
('Toni Morrison', 1931),
('Haruki Murakami', 1949)
seed:books = (title, isbn, author_id) VALUES
('One Hundred Years of Solitude', '978-0-06-088328-7', 1),
('Love in the Time of Cholera', '978-0-307-38962-2', 1),
('Beloved', '978-1-4000-3341-6', 2),
('Song of Solomon', '978-1-4000-3342-3', 2),
('Norwegian Wood', '978-0-375-70402-4', 3)
seed:borrowers = (name, email) VALUES
('Alice Johnson', 'alice@example.com'),
('Bob Smith', 'bob@example.com')
seed:loans = (book_id, borrower_id, loan_date, return_date) VALUES
(1, 1, '2024-09-15', '2024-10-01'),
(3, 2, '2024-10-10', NULL)
query:active_loans = SELECT b.title, br.name
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
'''
}
▴
|
| 39 |
+66.0s [+0.0s] |
tool_result |
PASS |
| 40 |
+66.0s [+0.0s] |
tool_result |
PASS |
| 41 |
+82.0s [+16.0s] |
tool_call |
Write - file_path: "/tmp/pytest-sandbox/test_library_generator_with_sk0/project/helpers.py"
- content: """Helper functions that reshape parsed DBML data for Jinja2 template consumption.
Keeps logic out of templates (generator-coding Rule 3).
"""
# -----------------------------------------------------…"""Helper functions that reshape parsed DBML data for Jinja2 template consumption.
Keeps logic out of templates (generator-coding Rule 3).
"""
# ---------------------------------------------------------------------------
# Type mapping
# ---------------------------------------------------------------------------
DBML_TO_SQLITE = {
"int": "INTEGER",
"integer": "INTEGER",
"varchar": "TEXT",
"text": "TEXT",
"date": "TEXT",
"datetime": "TEXT",
"boolean": "INTEGER",
"float": "REAL",
"real": "REAL",
}
def dbml_type_to_sqlite(dbml_type: str) -> str:
"""Map a DBML column type to its SQLite equivalent."""
return DBML_TO_SQLITE.get(dbml_type.lower(), "TEXT")
# ---------------------------------------------------------------------------
# Table context builder
# ---------------------------------------------------------------------------
def build_table_context(table: dict, refs: list[dict]) -> dict:
"""Attach FK info to columns and produce a template-ready table dict.
Parameters
----------
table : dict
Parsed table with keys: name, columns (list of column dicts).
refs : list[dict]
All parsed Ref entries with keys: from_table, from_column, to_table, to_column.
Returns
-------
dict with keys: name, columns (enriched with sqlite_type, fk_table, fk_column).
"""
# Index refs by (from_table, from_column) for O(1) lookup.
ref_index: dict[tuple[str, str], dict] = {
(r["from_table"], r["from_column"]): r for r in refs
}
enriched_columns = []
for col in table["columns"]:
sqlite_type = dbml_type_to_sqlite(col["type"])
fk = ref_index.get((table["name"], col["name"]))
enriched_columns.append(
{
"name": col["name"],
"sqlite_type": sqlite_type,
"is_pk": col.get("is_pk", False),
"is_autoincrement": col.get("is_autoincrement", False),
"is_not_null": col.get("is_not_null", False),
"is_nullable": col.get("is_nullable", False),
"fk_table": fk["to_table"] if fk else None,
"fk_column": fk["to_column"] if fk else None,
}
)
return {"name": table["name"], "columns": enriched_columns}
# ---------------------------------------------------------------------------
# Seed data context builder
# ---------------------------------------------------------------------------
def build_seed_context(seed_blocks: list[dict]) -> list[dict]:
"""Convert parsed seed blocks into template-ready insert contexts.
Parameters
----------
seed_blocks : list[dict]
Each dict has keys: table, columns (list[str]), rows (list[list[str]]).
Returns
-------
list[dict] with keys: table, columns, rows — ready for template iteration.
"""
return [
{
"table": s["table"],
"columns": s["columns"],
"rows": s["rows"],
}
for s in seed_blocks
]
# ---------------------------------------------------------------------------
# Query context builder
# ---------------------------------------------------------------------------
def build_query_context(query_blocks: list[dict]) -> list[dict]:
"""Convert parsed query blocks into template-ready query contexts.
Parameters
----------
query_blocks : list[dict]
Each dict has keys: name, sql.
Returns
-------
list[dict] with keys: name, sql.
"""
return [{"name": q["name"], "sql": q["sql"]} for q in query_blocks]
▴
|
| 42 |
+82.0s [+0.0s] |
tool_call |
Write - file_path: "/tmp/pytest-sandbox/test_library_generator_with_sk0/project/helpers.py"
- content: """Helper functions that reshape parsed DBML data for Jinja2 template consumption.
Keeps logic out of templates (generator-coding Rule 3).
"""
# -----------------------------------------------------…"""Helper functions that reshape parsed DBML data for Jinja2 template consumption.
Keeps logic out of templates (generator-coding Rule 3).
"""
# ---------------------------------------------------------------------------
# Type mapping
# ---------------------------------------------------------------------------
DBML_TO_SQLITE = {
"int": "INTEGER",
"integer": "INTEGER",
"varchar": "TEXT",
"text": "TEXT",
"date": "TEXT",
"datetime": "TEXT",
"boolean": "INTEGER",
"float": "REAL",
"real": "REAL",
}
def dbml_type_to_sqlite(dbml_type: str) -> str:
"""Map a DBML column type to its SQLite equivalent."""
return DBML_TO_SQLITE.get(dbml_type.lower(), "TEXT")
# ---------------------------------------------------------------------------
# Table context builder
# ---------------------------------------------------------------------------
def build_table_context(table: dict, refs: list[dict]) -> dict:
"""Attach FK info to columns and produce a template-ready table dict.
Parameters
----------
table : dict
Parsed table with keys: name, columns (list of column dicts).
refs : list[dict]
All parsed Ref entries with keys: from_table, from_column, to_table, to_column.
Returns
-------
dict with keys: name, columns (enriched with sqlite_type, fk_table, fk_column).
"""
# Index refs by (from_table, from_column) for O(1) lookup.
ref_index: dict[tuple[str, str], dict] = {
(r["from_table"], r["from_column"]): r for r in refs
}
enriched_columns = []
for col in table["columns"]:
sqlite_type = dbml_type_to_sqlite(col["type"])
fk = ref_index.get((table["name"], col["name"]))
enriched_columns.append(
{
"name": col["name"],
"sqlite_type": sqlite_type,
"is_pk": col.get("is_pk", False),
"is_autoincrement": col.get("is_autoincrement", False),
"is_not_null": col.get("is_not_null", False),
"is_nullable": col.get("is_nullable", False),
"fk_table": fk["to_table"] if fk else None,
"fk_column": fk["to_column"] if fk else None,
}
)
return {"name": table["name"], "columns": enriched_columns}
# ---------------------------------------------------------------------------
# Seed data context builder
# ---------------------------------------------------------------------------
def build_seed_context(seed_blocks: list[dict]) -> list[dict]:
"""Convert parsed seed blocks into template-ready insert contexts.
Parameters
----------
seed_blocks : list[dict]
Each dict has keys: table, columns (list[str]), rows (list[list[str]]).
Returns
-------
list[dict] with keys: table, columns, rows — ready for template iteration.
"""
return [
{
"table": s["table"],
"columns": s["columns"],
"rows": s["rows"],
}
for s in seed_blocks
]
# ---------------------------------------------------------------------------
# Query context builder
# ---------------------------------------------------------------------------
def build_query_context(query_blocks: list[dict]) -> list[dict]:
"""Convert parsed query blocks into template-ready query contexts.
Parameters
----------
query_blocks : list[dict]
Each dict has keys: name, sql.
Returns
-------
list[dict] with keys: name, sql.
"""
return [{"name": q["name"], "sql": q["sql"]} for q in query_blocks]
▴
|
| 43 |
+82.0s [+0.0s] |
tool_result |
PASS |
| 44 |
+82.0s [+0.0s] |
tool_result |
PASS |
| 45 |
+96.0s [+14.0s] |
tool_call |
Write - file_path: "/tmp/pytest-sandbox/test_library_generator_with_sk0/project/templates/sqlite_library.py.jinja2"
- content: {# --------------------------------------------------------------------------
Template: sqlite_library.py.jinja2
Target: Python 3 / sqlite3
Generates: Database creation, seed data insertion…{# --------------------------------------------------------------------------
Template: sqlite_library.py.jinja2
Target: Python 3 / sqlite3
Generates: Database creation, seed data insertion, and report queries.
DO NOT EDIT the generated output — fix the data model or this template.
-------------------------------------------------------------------------- #}
"""Auto-generated SQLite library database.
Generated from: {{ source_file }}
DO NOT EDIT — modify the DBML data model or Jinja2 template instead.
"""
import sqlite3
DATABASE = ":memory:"
def create_tables(conn: sqlite3.Connection) -> None:
"""Create all tables."""
cursor = conn.cursor()
{% for table in tables %}
cursor.execute("""
CREATE TABLE IF NOT EXISTS {{ table.name }} (
{%- for col in table.columns %}
{{ col.name }} {{ col.sqlite_type }}
{%- if col.is_pk %} PRIMARY KEY{% endif %}
{%- if col.is_autoincrement %} AUTOINCREMENT{% endif %}
{%- if col.is_not_null and not col.is_pk %} NOT NULL{% endif %}
{%- if col.fk_table %} REFERENCES {{ col.fk_table }}({{ col.fk_column }}){% endif %}
{%- if not loop.last %},{% endif %}
{%- endfor %}
)
""")
{% endfor %}
conn.commit()
def insert_seed_data(conn: sqlite3.Connection) -> None:
"""Insert sample data."""
cursor = conn.cursor()
{% for seed in seeds %}
# Seed: {{ seed.table }}
cursor.executemany(
"INSERT INTO {{ seed.table }} ({{ seed.columns | join(', ') }}) VALUES ({{ seed.columns | map('regex_replace', '.*', '?') | join(', ') }})",
[
{%- for row in seed.rows %}
({{ row | join(', ') }}),
{%- endfor %}
],
)
{% endfor %}
conn.commit()
{% for query in queries %}
def report_{{ query.name }}(conn: sqlite3.Connection) -> None:
"""Run report: {{ query.name }}."""
cursor = conn.cursor()
cursor.execute("""
{{ query.sql }}
""")
rows = cursor.fetchall()
print("=== Active Loans ===")
for title, borrower in rows:
print(f" {title} -> {borrower}")
if not rows:
print(" (no active loans)")
{% endfor %}
def main() -> None:
"""Entry point."""
conn = sqlite3.connect(DATABASE)
try:
create_tables(conn)
insert_seed_data(conn)
{% for query in queries %}
report_{{ query.name }}(conn)
{% endfor %}
finally:
conn.close()
if __name__ == "__main__":
main()
▴
|
| 46 |
+96.0s [+0.0s] |
tool_call |
Write - file_path: "/tmp/pytest-sandbox/test_library_generator_with_sk0/project/templates/sqlite_library.py.jinja2"
- content: {# --------------------------------------------------------------------------
Template: sqlite_library.py.jinja2
Target: Python 3 / sqlite3
Generates: Database creation, seed data insertion…{# --------------------------------------------------------------------------
Template: sqlite_library.py.jinja2
Target: Python 3 / sqlite3
Generates: Database creation, seed data insertion, and report queries.
DO NOT EDIT the generated output — fix the data model or this template.
-------------------------------------------------------------------------- #}
"""Auto-generated SQLite library database.
Generated from: {{ source_file }}
DO NOT EDIT — modify the DBML data model or Jinja2 template instead.
"""
import sqlite3
DATABASE = ":memory:"
def create_tables(conn: sqlite3.Connection) -> None:
"""Create all tables."""
cursor = conn.cursor()
{% for table in tables %}
cursor.execute("""
CREATE TABLE IF NOT EXISTS {{ table.name }} (
{%- for col in table.columns %}
{{ col.name }} {{ col.sqlite_type }}
{%- if col.is_pk %} PRIMARY KEY{% endif %}
{%- if col.is_autoincrement %} AUTOINCREMENT{% endif %}
{%- if col.is_not_null and not col.is_pk %} NOT NULL{% endif %}
{%- if col.fk_table %} REFERENCES {{ col.fk_table }}({{ col.fk_column }}){% endif %}
{%- if not loop.last %},{% endif %}
{%- endfor %}
)
""")
{% endfor %}
conn.commit()
def insert_seed_data(conn: sqlite3.Connection) -> None:
"""Insert sample data."""
cursor = conn.cursor()
{% for seed in seeds %}
# Seed: {{ seed.table }}
cursor.executemany(
"INSERT INTO {{ seed.table }} ({{ seed.columns | join(', ') }}) VALUES ({{ seed.columns | map('regex_replace', '.*', '?') | join(', ') }})",
[
{%- for row in seed.rows %}
({{ row | join(', ') }}),
{%- endfor %}
],
)
{% endfor %}
conn.commit()
{% for query in queries %}
def report_{{ query.name }}(conn: sqlite3.Connection) -> None:
"""Run report: {{ query.name }}."""
cursor = conn.cursor()
cursor.execute("""
{{ query.sql }}
""")
rows = cursor.fetchall()
print("=== Active Loans ===")
for title, borrower in rows:
print(f" {title} -> {borrower}")
if not rows:
print(" (no active loans)")
{% endfor %}
def main() -> None:
"""Entry point."""
conn = sqlite3.connect(DATABASE)
try:
create_tables(conn)
insert_seed_data(conn)
{% for query in queries %}
report_{{ query.name }}(conn)
{% endfor %}
finally:
conn.close()
if __name__ == "__main__":
main()
▴
|
| 47 |
+96.0s [+0.0s] |
tool_result |
PASS |
| 48 |
+96.0s [+0.0s] |
tool_result |
PASS |
| 49 |
+135.0s [+39.0s] |
tool_call |
Write - file_path: "/tmp/pytest-sandbox/test_library_generator_with_sk0/project/generate.py"
- content: #!/usr/bin/env python3
"""Generator driver: DBML -> Parser -> Helpers -> Jinja2 -> Python SQLite code.
Usage:
python generate.py
Reads: data/library.dbml
templates/sqlite_library.py.jin…#!/usr/bin/env python3
"""Generator driver: DBML -> Parser -> Helpers -> Jinja2 -> Python SQLite code.
Usage:
python generate.py
Reads: data/library.dbml
templates/sqlite_library.py.jinja2
Writes: generated/library.py
"""
from __future__ import annotations
import re
from pathlib import Path
from jinja2 import Environment, FileSystemLoader, StrictUndefined
from helpers import build_query_context, build_seed_context, build_table_context
# ---------------------------------------------------------------------------
# Paths
# ---------------------------------------------------------------------------
PROJECT_DIR = Path(__file__).resolve().parent
DATA_FILE = PROJECT_DIR / "data" / "library.dbml"
TEMPLATE_DIR = PROJECT_DIR / "templates"
TEMPLATE_NAME = "sqlite_library.py.jinja2"
OUTPUT_DIR = PROJECT_DIR / "generated"
OUTPUT_FILE = OUTPUT_DIR / "library.py"
# ===================================================================
# Stage 1 — Parser: read DBML, produce in-memory representation
# ===================================================================
def parse_dbml(text: str) -> dict:
"""Parse a DBML string into tables, refs, and note blocks.
Returns
-------
dict with keys:
tables : list[dict] — each has name, columns
refs : list[dict] — each has from_table, from_column, to_table, to_column
seeds : list[dict] — each has table, columns, rows
queries: list[dict] — each has name, sql
"""
tables = _parse_tables(text)
refs = _parse_refs(text, tables)
seeds, queries = _parse_notes(text)
return {
"tables": tables,
"refs": refs,
"seeds": seeds,
"queries": queries,
}
# ---------------------------------------------------------------------------
# Table parsing
# ---------------------------------------------------------------------------
# Matches: Table name { ... }
_TABLE_RE = re.compile(
r"Table\s+(\w+)\s*\{(.*?)\}", re.DOTALL
)
# Matches a column line: name type [settings]
_COLUMN_RE = re.compile(
r"^\s+(\w+)\s+(\w+)\s*(?:\[([^\]]*)\])?\s*$", re.MULTILINE
)
def _parse_tables(text: str) -> list[dict]:
tables = []
for m in _TABLE_RE.finditer(text):
table_name = m.group(1)
body = m.group(2)
columns = []
for cm in _COLUMN_RE.finditer(body):
col_name = cm.group(1)
col_type = cm.group(2)
settings = cm.group(3) or ""
columns.append(
{
"name": col_name,
"type": col_type,
"is_pk": "pk" in settings,
"is_autoincrement": "increment" in settings,
"is_not_null": "not null" in settings,
"is_nullable": "null" in settings and "not null" not in settings,
"ref_inline": _parse_inline_ref(settings),
}
)
tables.append({"name": table_name, "columns": columns})
return tables
def _parse_inline_ref(settings: str) -> dict | None:
"""Parse an inline ref like ``ref: > authors.id`` from column settings."""
m = re.search(r"ref:\s*>\s*(\w+)\.(\w+)", settings)
if m:
return {"to_table": m.group(1), "to_column": m.group(2)}
return None
# ---------------------------------------------------------------------------
# Reference parsing (both inline refs and standalone Ref: lines)
# ---------------------------------------------------------------------------
_STANDALONE_REF_RE = re.compile(
r"Ref:\s*(\w+)\.(\w+)\s*>\s*(\w+)\.(\w+)"
)
def _parse_refs(text: str, tables: list[dict]) -> list[dict]:
refs: list[dict] = []
# Collect inline refs already parsed per-column.
for table in tables:
for col in table["columns"]:
if col["ref_inline"]:
refs.append(
{
"from_table": table["name"],
"from_column": col["name"],
"to_table": col["ref_inline"]["to_table"],
"to_column": col["ref_inline"]["to_column"],
}
)
# Collect standalone Ref: lines.
for m in _STANDALONE_REF_RE.finditer(text):
refs.append(
{
"from_table": m.group(1),
"from_column": m.group(2),
"to_table": m.group(3),
"to_column": m.group(4),
}
)
return refs
# ---------------------------------------------------------------------------
# Note block parsing (seed data + queries)
# ---------------------------------------------------------------------------
_NOTE_RE = re.compile(r"Note\s*\{\s*'''(.*?)'''", re.DOTALL)
_SEED_RE = re.compile(
r"seed:(\w+)\s*=\s*\(([^)]+)\)\s*VALUES\s*(.*?)(?=\n\s*(?:seed:|query:|\Z))",
re.DOTALL,
)
_QUERY_RE = re.compile(
r"query:(\w+)\s*=\s*(.*?)(?=\n\s*(?:seed:|query:|\Z))",
re.DOTALL,
)
_ROW_RE = re.compile(r"\(([^)]+)\)")
def _parse_notes(text: str) -> tuple[list[dict], list[dict]]:
seeds: list[dict] = []
queries: list[dict] = []
for note_match in _NOTE_RE.finditer(text):
body = note_match.group(1)
# --- seeds ---
for sm in _SEED_RE.finditer(body):
table = sm.group(1)
columns = [c.strip() for c in sm.group(2).split(",")]
rows_text = sm.group(3)
rows = []
for rm in _ROW_RE.finditer(rows_text):
row_values = rm.group(1)
rows.append(_split_row_values(row_values))
seeds.append({"table": table, "columns": columns, "rows": rows})
# --- queries ---
for qm in _QUERY_RE.finditer(body):
name = qm.group(1)
sql = " ".join(qm.group(2).strip().split())
queries.append({"name": name, "sql": sql})
return seeds, queries
def _split_row_values(raw: str) -> list[str]:
"""Split a row like ``'hello', 42, NULL`` into individual value strings.
Preserves string quoting and NULL as-is so the template can emit them
directly as Python literals.
"""
values: list[str] = []
current = ""
in_string = False
for ch in raw:
if ch == "'" and not in_string:
in_string = True
current += ch
elif ch == "'" and in_string:
in_string = False
current += ch
elif ch == "," and not in_string:
values.append(current.strip())
current = ""
else:
current += ch
if current.strip():
values.append(current.strip())
# Convert NULL -> None for Python, keep strings and ints as-is.
result = []
for v in values:
if v.upper() == "NULL":
result.append("None")
else:
result.append(v)
return result
# ===================================================================
# Stage 2 — Helpers: reshape parsed data for template consumption
# ===================================================================
# (Imported from helpers.py — see build_table_context, etc.)
# ===================================================================
# Stage 3 — Template rendering + output
# ===================================================================
def render(parsed: dict) -> str:
"""Render the Jinja2 template with parsed + reshaped data."""
env = Environment(
loader=FileSystemLoader(str(TEMPLATE_DIR)),
undefined=StrictUndefined,
trim_blocks=True,
lstrip_blocks=True,
keep_trailing_newline=True,
)
# Custom filter: replace any string with '?' for SQL placeholders.
env.filters["regex_replace"] = lambda s, _pattern, _repl: "?"
template = env.get_template(TEMPLATE_NAME)
# Build template contexts via helpers.
table_contexts = [
build_table_context(t, parsed["refs"]) for t in parsed["tables"]
]
seed_contexts = build_seed_context(parsed["seeds"])
query_contexts = build_query_context(parsed["queries"])
return template.render(
source_file=DATA_FILE.name,
tables=table_contexts,
seeds=seed_contexts,
queries=query_contexts,
)
# ===================================================================
# Main — driver script
# ===================================================================
def main() -> None:
print(f"Reading data model: {DATA_FILE}")
dbml_text = DATA_FILE.read_text()
print("Parsing DBML...")
parsed = parse_dbml(dbml_text)
print(
f" Found {len(parsed['tables'])} tables, "
f"{len(parsed['refs'])} refs, "
f"{len(parsed['seeds'])} seed blocks, "
f"{len(parsed['queries'])} queries."
)
print("Rendering template...")
output = render(parsed)
OUTPUT_DIR.mkdir(parents=True, exist_ok=True)
OUTPUT_FILE.write_text(output)
print(f"Generated: {OUTPUT_FILE}")
if __name__ == "__main__":
main()
▴
|
| 50 |
+135.0s [+0.0s] |
tool_call |
Write - file_path: "/tmp/pytest-sandbox/test_library_generator_with_sk0/project/generate.py"
- content: #!/usr/bin/env python3
"""Generator driver: DBML -> Parser -> Helpers -> Jinja2 -> Python SQLite code.
Usage:
python generate.py
Reads: data/library.dbml
templates/sqlite_library.py.jin…#!/usr/bin/env python3
"""Generator driver: DBML -> Parser -> Helpers -> Jinja2 -> Python SQLite code.
Usage:
python generate.py
Reads: data/library.dbml
templates/sqlite_library.py.jinja2
Writes: generated/library.py
"""
from __future__ import annotations
import re
from pathlib import Path
from jinja2 import Environment, FileSystemLoader, StrictUndefined
from helpers import build_query_context, build_seed_context, build_table_context
# ---------------------------------------------------------------------------
# Paths
# ---------------------------------------------------------------------------
PROJECT_DIR = Path(__file__).resolve().parent
DATA_FILE = PROJECT_DIR / "data" / "library.dbml"
TEMPLATE_DIR = PROJECT_DIR / "templates"
TEMPLATE_NAME = "sqlite_library.py.jinja2"
OUTPUT_DIR = PROJECT_DIR / "generated"
OUTPUT_FILE = OUTPUT_DIR / "library.py"
# ===================================================================
# Stage 1 — Parser: read DBML, produce in-memory representation
# ===================================================================
def parse_dbml(text: str) -> dict:
"""Parse a DBML string into tables, refs, and note blocks.
Returns
-------
dict with keys:
tables : list[dict] — each has name, columns
refs : list[dict] — each has from_table, from_column, to_table, to_column
seeds : list[dict] — each has table, columns, rows
queries: list[dict] — each has name, sql
"""
tables = _parse_tables(text)
refs = _parse_refs(text, tables)
seeds, queries = _parse_notes(text)
return {
"tables": tables,
"refs": refs,
"seeds": seeds,
"queries": queries,
}
# ---------------------------------------------------------------------------
# Table parsing
# ---------------------------------------------------------------------------
# Matches: Table name { ... }
_TABLE_RE = re.compile(
r"Table\s+(\w+)\s*\{(.*?)\}", re.DOTALL
)
# Matches a column line: name type [settings]
_COLUMN_RE = re.compile(
r"^\s+(\w+)\s+(\w+)\s*(?:\[([^\]]*)\])?\s*$", re.MULTILINE
)
def _parse_tables(text: str) -> list[dict]:
tables = []
for m in _TABLE_RE.finditer(text):
table_name = m.group(1)
body = m.group(2)
columns = []
for cm in _COLUMN_RE.finditer(body):
col_name = cm.group(1)
col_type = cm.group(2)
settings = cm.group(3) or ""
columns.append(
{
"name": col_name,
"type": col_type,
"is_pk": "pk" in settings,
"is_autoincrement": "increment" in settings,
"is_not_null": "not null" in settings,
"is_nullable": "null" in settings and "not null" not in settings,
"ref_inline": _parse_inline_ref(settings),
}
)
tables.append({"name": table_name, "columns": columns})
return tables
def _parse_inline_ref(settings: str) -> dict | None:
"""Parse an inline ref like ``ref: > authors.id`` from column settings."""
m = re.search(r"ref:\s*>\s*(\w+)\.(\w+)", settings)
if m:
return {"to_table": m.group(1), "to_column": m.group(2)}
return None
# ---------------------------------------------------------------------------
# Reference parsing (both inline refs and standalone Ref: lines)
# ---------------------------------------------------------------------------
_STANDALONE_REF_RE = re.compile(
r"Ref:\s*(\w+)\.(\w+)\s*>\s*(\w+)\.(\w+)"
)
def _parse_refs(text: str, tables: list[dict]) -> list[dict]:
refs: list[dict] = []
# Collect inline refs already parsed per-column.
for table in tables:
for col in table["columns"]:
if col["ref_inline"]:
refs.append(
{
"from_table": table["name"],
"from_column": col["name"],
"to_table": col["ref_inline"]["to_table"],
"to_column": col["ref_inline"]["to_column"],
}
)
# Collect standalone Ref: lines.
for m in _STANDALONE_REF_RE.finditer(text):
refs.append(
{
"from_table": m.group(1),
"from_column": m.group(2),
"to_table": m.group(3),
"to_column": m.group(4),
}
)
return refs
# ---------------------------------------------------------------------------
# Note block parsing (seed data + queries)
# ---------------------------------------------------------------------------
_NOTE_RE = re.compile(r"Note\s*\{\s*'''(.*?)'''", re.DOTALL)
_SEED_RE = re.compile(
r"seed:(\w+)\s*=\s*\(([^)]+)\)\s*VALUES\s*(.*?)(?=\n\s*(?:seed:|query:|\Z))",
re.DOTALL,
)
_QUERY_RE = re.compile(
r"query:(\w+)\s*=\s*(.*?)(?=\n\s*(?:seed:|query:|\Z))",
re.DOTALL,
)
_ROW_RE = re.compile(r"\(([^)]+)\)")
def _parse_notes(text: str) -> tuple[list[dict], list[dict]]:
seeds: list[dict] = []
queries: list[dict] = []
for note_match in _NOTE_RE.finditer(text):
body = note_match.group(1)
# --- seeds ---
for sm in _SEED_RE.finditer(body):
table = sm.group(1)
columns = [c.strip() for c in sm.group(2).split(",")]
rows_text = sm.group(3)
rows = []
for rm in _ROW_RE.finditer(rows_text):
row_values = rm.group(1)
rows.append(_split_row_values(row_values))
seeds.append({"table": table, "columns": columns, "rows": rows})
# --- queries ---
for qm in _QUERY_RE.finditer(body):
name = qm.group(1)
sql = " ".join(qm.group(2).strip().split())
queries.append({"name": name, "sql": sql})
return seeds, queries
def _split_row_values(raw: str) -> list[str]:
"""Split a row like ``'hello', 42, NULL`` into individual value strings.
Preserves string quoting and NULL as-is so the template can emit them
directly as Python literals.
"""
values: list[str] = []
current = ""
in_string = False
for ch in raw:
if ch == "'" and not in_string:
in_string = True
current += ch
elif ch == "'" and in_string:
in_string = False
current += ch
elif ch == "," and not in_string:
values.append(current.strip())
current = ""
else:
current += ch
if current.strip():
values.append(current.strip())
# Convert NULL -> None for Python, keep strings and ints as-is.
result = []
for v in values:
if v.upper() == "NULL":
result.append("None")
else:
result.append(v)
return result
# ===================================================================
# Stage 2 — Helpers: reshape parsed data for template consumption
# ===================================================================
# (Imported from helpers.py — see build_table_context, etc.)
# ===================================================================
# Stage 3 — Template rendering + output
# ===================================================================
def render(parsed: dict) -> str:
"""Render the Jinja2 template with parsed + reshaped data."""
env = Environment(
loader=FileSystemLoader(str(TEMPLATE_DIR)),
undefined=StrictUndefined,
trim_blocks=True,
lstrip_blocks=True,
keep_trailing_newline=True,
)
# Custom filter: replace any string with '?' for SQL placeholders.
env.filters["regex_replace"] = lambda s, _pattern, _repl: "?"
template = env.get_template(TEMPLATE_NAME)
# Build template contexts via helpers.
table_contexts = [
build_table_context(t, parsed["refs"]) for t in parsed["tables"]
]
seed_contexts = build_seed_context(parsed["seeds"])
query_contexts = build_query_context(parsed["queries"])
return template.render(
source_file=DATA_FILE.name,
tables=table_contexts,
seeds=seed_contexts,
queries=query_contexts,
)
# ===================================================================
# Main — driver script
# ===================================================================
def main() -> None:
print(f"Reading data model: {DATA_FILE}")
dbml_text = DATA_FILE.read_text()
print("Parsing DBML...")
parsed = parse_dbml(dbml_text)
print(
f" Found {len(parsed['tables'])} tables, "
f"{len(parsed['refs'])} refs, "
f"{len(parsed['seeds'])} seed blocks, "
f"{len(parsed['queries'])} queries."
)
print("Rendering template...")
output = render(parsed)
OUTPUT_DIR.mkdir(parents=True, exist_ok=True)
OUTPUT_FILE.write_text(output)
print(f"Generated: {OUTPUT_FILE}")
if __name__ == "__main__":
main()
▴
|
| 51 |
+135.0s [+0.0s] |
tool_result |
PASS |
| 52 |
+135.0s [+0.0s] |
tool_result |
PASS |
| 53 |
+138.0s [+3.0s] |
tool_call |
Bash - command: "python -I generate.py"
- description: "Run the generator to produce library.py from DBML + template"
|
| 54 |
+138.0s [+0.0s] |
tool_call |
Bash - command: "python -I generate.py"
- description: "Run the generator to produce library.py from DBML + template"
|
| 55 |
+145.0s [+7.0s] |
tool_call |
Bash - command: "python generate.py"
- description: "Run the generator to produce library.py from DBML + template"
|
| 56 |
+145.0s [+0.0s] |
tool_call |
Bash - command: "python generate.py"
- description: "Run the generator to produce library.py from DBML + template"
|
| 57 |
+145.0s [+0.0s] |
tool_result |
PASS |
| 58 |
+145.0s [+0.0s] |
tool_result |
PASS |
| 59 |
+148.0s [+3.0s] |
tool_call |
Read - file_path: "/tmp/pytest-sandbox/test_library_generator_with_sk0/project/generated/library.py"
|
| 60 |
+148.0s [+0.0s] |
tool_call |
Read - file_path: "/tmp/pytest-sandbox/test_library_generator_with_sk0/project/generated/library.py"
|
| 61 |
+148.0s [+0.0s] |
tool_result |
PASS |
| 62 |
+148.0s [+0.0s] |
tool_result |
PASS |
| 63 |
+154.0s [+6.0s] |
tool_call |
Read - file_path: "/tmp/pytest-sandbox/test_library_generator_with_sk0/project/templates/sqlite_library.py.jinja2"
|
| 64 |
+154.0s [+0.0s] |
tool_call |
Read - file_path: "/tmp/pytest-sandbox/test_library_generator_with_sk0/project/templates/sqlite_library.py.jinja2"
|
| 65 |
+154.0s [+0.0s] |
tool_result |
PASS |
| 66 |
+154.0s [+0.0s] |
tool_result |
PASS |
| 67 |
+185.0s [+31.0s] |
tool_call |
Write - file_path: "/tmp/pytest-sandbox/test_library_generator_with_sk0/project/templates/sqlite_library.py.jinja2"
- content: {# --------------------------------------------------------------------------
Template: sqlite_library.py.jinja2
Target: Python 3 / sqlite3
Generates: Database creation, seed data insertion…{# --------------------------------------------------------------------------
Template: sqlite_library.py.jinja2
Target: Python 3 / sqlite3
Generates: Database creation, seed data insertion, and report queries.
DO NOT EDIT the generated output — fix the data model or this template.
-------------------------------------------------------------------------- #}
"""Auto-generated SQLite library database.
Generated from: {{ source_file }}
DO NOT EDIT — modify the DBML data model or Jinja2 template instead.
"""
import sqlite3
DATABASE = ":memory:"
def create_tables(conn: sqlite3.Connection) -> None:
"""Create all tables."""
cursor = conn.cursor()
{% for table in tables %}
cursor.execute("""
CREATE TABLE IF NOT EXISTS {{ table.name }} (
{% for col in table.columns %}
{{ col.name }} {{ col.sqlite_type }}
{%- if col.is_pk %} PRIMARY KEY{% endif %}
{%- if col.is_autoincrement %} AUTOINCREMENT{% endif %}
{%- if col.is_not_null and not col.is_pk %} NOT NULL{% endif %}
{%- if col.fk_table %} REFERENCES {{ col.fk_table }}({{ col.fk_column }}){% endif %}
{%- if not loop.last %},{% endif %}
{% endfor %}
)
""")
{% endfor %}
conn.commit()
def insert_seed_data(conn: sqlite3.Connection) -> None:
"""Insert sample data."""
cursor = conn.cursor()
{% for seed in seeds %}
# Seed: {{ seed.table }}
cursor.executemany(
"INSERT INTO {{ seed.table }} ({{ seed.columns | join(', ') }}) VALUES ({{ seed.columns | map('regex_replace', '.*', '?') | join(', ') }})",
[
{% for row in seed.rows %}
({{ row | join(', ') }}),
{% endfor %}
],
)
{% endfor %}
conn.commit()
{% for query in queries %}
def report_{{ query.name }}(conn: sqlite3.Connection) -> None:
"""Run report: {{ query.name }}."""
cursor = conn.cursor()
cursor.execute("""
{{ query.sql }}
""")
rows = cursor.fetchall()
print("=== Active Loans ===")
for title, borrower in rows:
print(f" {title} -> {borrower}")
if not rows:
print(" (no active loans)")
{% endfor %}
def main() -> None:
"""Entry point."""
conn = sqlite3.connect(DATABASE)
try:
create_tables(conn)
insert_seed_data(conn)
{% for query in queries %}
report_{{ query.name }}(conn)
{% endfor %}
finally:
conn.close()
if __name__ == "__main__":
main()
▴
|
| 68 |
+185.0s [+0.0s] |
tool_call |
Write - file_path: "/tmp/pytest-sandbox/test_library_generator_with_sk0/project/templates/sqlite_library.py.jinja2"
- content: {# --------------------------------------------------------------------------
Template: sqlite_library.py.jinja2
Target: Python 3 / sqlite3
Generates: Database creation, seed data insertion…{# --------------------------------------------------------------------------
Template: sqlite_library.py.jinja2
Target: Python 3 / sqlite3
Generates: Database creation, seed data insertion, and report queries.
DO NOT EDIT the generated output — fix the data model or this template.
-------------------------------------------------------------------------- #}
"""Auto-generated SQLite library database.
Generated from: {{ source_file }}
DO NOT EDIT — modify the DBML data model or Jinja2 template instead.
"""
import sqlite3
DATABASE = ":memory:"
def create_tables(conn: sqlite3.Connection) -> None:
"""Create all tables."""
cursor = conn.cursor()
{% for table in tables %}
cursor.execute("""
CREATE TABLE IF NOT EXISTS {{ table.name }} (
{% for col in table.columns %}
{{ col.name }} {{ col.sqlite_type }}
{%- if col.is_pk %} PRIMARY KEY{% endif %}
{%- if col.is_autoincrement %} AUTOINCREMENT{% endif %}
{%- if col.is_not_null and not col.is_pk %} NOT NULL{% endif %}
{%- if col.fk_table %} REFERENCES {{ col.fk_table }}({{ col.fk_column }}){% endif %}
{%- if not loop.last %},{% endif %}
{% endfor %}
)
""")
{% endfor %}
conn.commit()
def insert_seed_data(conn: sqlite3.Connection) -> None:
"""Insert sample data."""
cursor = conn.cursor()
{% for seed in seeds %}
# Seed: {{ seed.table }}
cursor.executemany(
"INSERT INTO {{ seed.table }} ({{ seed.columns | join(', ') }}) VALUES ({{ seed.columns | map('regex_replace', '.*', '?') | join(', ') }})",
[
{% for row in seed.rows %}
({{ row | join(', ') }}),
{% endfor %}
],
)
{% endfor %}
conn.commit()
{% for query in queries %}
def report_{{ query.name }}(conn: sqlite3.Connection) -> None:
"""Run report: {{ query.name }}."""
cursor = conn.cursor()
cursor.execute("""
{{ query.sql }}
""")
rows = cursor.fetchall()
print("=== Active Loans ===")
for title, borrower in rows:
print(f" {title} -> {borrower}")
if not rows:
print(" (no active loans)")
{% endfor %}
def main() -> None:
"""Entry point."""
conn = sqlite3.connect(DATABASE)
try:
create_tables(conn)
insert_seed_data(conn)
{% for query in queries %}
report_{{ query.name }}(conn)
{% endfor %}
finally:
conn.close()
if __name__ == "__main__":
main()
▴
|
| 69 |
+185.0s [+0.0s] |
tool_result |
PASS |
| 70 |
+185.0s [+0.0s] |
tool_result |
PASS |
| 71 |
+188.0s [+3.0s] |
tool_call |
Bash - command: "python generate.py"
- description: "Regenerate library.py with fixed template"
|
| 72 |
+188.0s [+0.0s] |
tool_call |
Bash - command: "python generate.py"
- description: "Regenerate library.py with fixed template"
|
| 73 |
+188.0s [+0.0s] |
tool_result |
PASS |
| 74 |
+188.0s [+0.0s] |
tool_result |
PASS |
| 75 |
+190.0s [+2.0s] |
tool_call |
Read - file_path: "/tmp/pytest-sandbox/test_library_generator_with_sk0/project/generated/library.py"
|
| 76 |
+190.0s [+0.0s] |
tool_call |
Read - file_path: "/tmp/pytest-sandbox/test_library_generator_with_sk0/project/generated/library.py"
|
| 77 |
+190.0s [+0.0s] |
tool_result |
PASS |
| 78 |
+190.0s [+0.0s] |
tool_result |
PASS |
| 79 |
+195.0s [+5.0s] |
tool_call |
Bash - command: "python -I generated/library.py"
- description: "Run the generated library.py to verify it works"
|
| 80 |
+195.0s [+0.0s] |
tool_call |
Bash - command: "python -I generated/library.py"
- description: "Run the generated library.py to verify it works"
|
| 81 |
+195.0s [+0.0s] |
tool_result |
PASS |
| 82 |
+195.0s [+0.0s] |
tool_result |
PASS |
| | require | PASS no error |
| | expect | PASS files exist: *.dbml — found 1: ['data/library.dbml'] |
| | expect | PASS files exist: *.jinja2 | *.j2 | *.jinja — found 1: ['templates/sqlite_library.py.jinja2'] |
| | achieve | ACHIEVED generator script present [challenging] — generator files: ['generate.py', 'generated/library.py', 'audit/agent-report.sh', 'audit/ops_record/20261022T124231Z-gen-library-001.jsonl'] |
| | achieve | ACHIEVED library output present [expected] |
| | achieve | ACHIEVED file contains /jinja2|from jinja/ in *.py [challenging] |