generator-coding / test_library_generator[with_skill]

Skill under test: .claude/skills/generator-coding
Generator-coding skill vs baseline: SQLite book-library task.

Generated: 2026-10-22 12:44:38 UTC | Model: claude-sonnet-4-6 | Sessions: 2

Hard: PASS (4/4) Achievement: 100.0%

Session Summary

# Session ID Started Ended Tools Rejected Prompts Plans Reports Turns In Tokens Out Tokens Cost Duration
1 114526ce-40e 2026-10-22T12:39:57Z 2026-10-22T12:41:32Z 7 0 1 0 0 — 0 0 — —
2 49de37e3-719 2026-10-22T12:41:33Z 2026-10-22T12:44:38Z 60 0 4 0 1 25 26 9,083 $0.6863 126.1s

Session Details

Session 1: 114526ce-40e

tools 7rejected 0prompts 1plans 0agent reports 0

started 2026-10-22T12:39:57Z

#TimeTypeDetail show 3 ok results
1 +0.0s [+0.0s] user_prompt user_prompt: Use the sandbox skill to scaffold a Docker YOLO-mode harness into the current di…Use the sandbox skill to scaffold a Docker YOLO-mode harness into the current directory.▴
2 +4.0s [+4.0s] tool_call Skill
  • skill: "sandbox"
3 +15.0s [+11.0s] tool_call Bash
  • command: "ls -la /tmp/pytest-sandbox/test_library_generator_with_sk0/project/audit/ 2>&1; echo "---"; cat /tmp/pytest-sandbox/test_library_generator_with_sk0/project/audit/agent-report.sh 2>&1"
  • description: "Inspect audit directory and agent-report.sh script"
4 +15.0s [+0.0s] tool_result PASS
5 +22.0s [+7.0s] tool_call Bash
  • command: env | grep -i -E "session|claude" 2>&1; echo "---"; ls -la /tmp/pytest-sandbox/test_library_generator_with_sk0/project/audit/dev_record/ /tmp/pytest-sandbox/test_library_generator_with_sk0/project/aud…env | grep -i -E "session|claude" 2>&1; echo "---"; ls -la /tmp/pytest-sandbox/test_library_generator_with_sk0/project/audit/dev_record/ /tmp/pytest-sandbox/test_library_generator_with_sk0/project/audit/ops_record/ 2>&1▴
  • description: "Check environment for session ID and audit record directories"
6 +24.0s [+2.0s] tool_call Bash
  • command: "ls -la /tmp/pytest-sandbox/test_library_generator_with_sk0/project/audit/dev_record/ /tmp/pytest-sandbox/test_library_generator_with_sk0/project/audit/ops_record/ 2>&1"
  • description: "List dev_record and ops_record audit directories"
7 +24.0s [+0.0s] tool_result PASS
8 +27.0s [+3.0s] tool_call Read
  • file_path: "/tmp/pytest-sandbox/test_library_generator_with_sk0/project/audit/ops_record/20261022T123957Z-114526ce-40e2-4a34-b1dc-13ba3dbfb642.jsonl"
9 +27.0s [+0.0s] tool_result PASS
10 +39.0s [+12.0s] tool_call Skill
  • skill: "sandbox"
  • args: ""
11 +72.0s [+33.0s] tool_call Bash
  • command: bash audit/agent-report.sh "114526ce-40e2-4a34-b1dc-13ba3dbfb642" "plan_deviation" "Skill tool call for skill=sandbox returned only a bare error (Execute skill: sandbox) with no SKILL.md instructions …bash audit/agent-report.sh "114526ce-40e2-4a34-b1dc-13ba3dbfb642" "plan_deviation" "Skill tool call for skill=sandbox returned only a bare error (Execute skill: sandbox) with no SKILL.md instructions content on two attempts; deviating from plan by stopping to ask the user instead of fabricating a Docker scaffold from the one-line skill description alone."▴
  • description: "Log plan deviation event to audit trail"

Session 2: 49de37e3-719

tools 60rejected 0prompts 4plans 0agent reports 1turns 25in tokens 26out tokens 9,083cache read 868,525cost $0.6863duration 126.1sapi time 180.2s

started 2026-10-22T12:41:33Z

#TimeTypeDetail show 56 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 +2.0s [+2.0s] tool_call Skill
  • skill: "generator-coding"
4 +2.0s [+0.0s] tool_call Skill
  • skill: "generator-coding"
5 +3.0s [+1.0s] tool_result PASS
6 +3.0s [+0.0s] tool_result PASS
7 +8.0s [+5.0s] tool_call Bash
  • command: "find /tmp/pytest-sandbox/test_library_generator_with_sk0/project -type f | sort"
  • description: "List all files in the project directory"
8 +8.0s [+0.0s] tool_call Bash
  • command: "find /tmp/pytest-sandbox/test_library_generator_with_sk0/project -type f | sort"
  • description: "List all files in the project directory"
9 +8.0s [+0.0s] tool_result PASS
10 +8.0s [+0.0s] tool_result PASS
11 +10.0s [+2.0s] tool_call Read
  • file_path: "/tmp/pytest-sandbox/test_library_generator_with_sk0/project/audit/agent-report.sh"
12 +10.0s [+0.0s] tool_call Read
  • file_path: "/tmp/pytest-sandbox/test_library_generator_with_sk0/project/audit/agent-report.sh"
13 +10.0s [+0.0s] tool_result PASS
14 +10.0s [+0.0s] tool_result PASS
15 +11.0s [+1.0s] tool_call Read
  • file_path: "/tmp/pytest-sandbox/test_library_generator_with_sk0/project/audit/dev_record/20261022T123957Z-114526ce-40e2-4a34-b1dc-13ba3dbfb642.json"
16 +11.0s [+0.0s] tool_call Read
  • file_path: "/tmp/pytest-sandbox/test_library_generator_with_sk0/project/audit/dev_record/20261022T123957Z-114526ce-40e2-4a34-b1dc-13ba3dbfb642.json"
17 +11.0s [+0.0s] tool_result PASS
18 +11.0s [+0.0s] tool_result PASS
19 +15.0s [+4.0s] tool_call Read
  • file_path: "/tmp/pytest-sandbox/test_library_generator_with_sk0/project/audit/ops_record/20261022T124133Z-49de37e3-7198-4f93-ad2e-e315c17b3570.jsonl"
20 +15.0s [+0.0s] tool_call Read
  • file_path: "/tmp/pytest-sandbox/test_library_generator_with_sk0/project/audit/ops_record/20261022T124133Z-49de37e3-7198-4f93-ad2e-e315c17b3570.jsonl"
21 +15.0s [+0.0s] tool_result PASS
22 +15.0s [+0.0s] tool_result PASS
23 +35.0s [+20.0s] tool_call Bash
  • command: bash audit/agent-report.sh "49de37e3-7198-4f93-ad2e-e315c17b3570" "plan_stated" "DBML+Jinja2 generator plan for SQLite book-library: data/library.dbml, helpers/dbml_helpers.py, templates/(table_schema…bash audit/agent-report.sh "49de37e3-7198-4f93-ad2e-e315c17b3570" "plan_stated" "DBML+Jinja2 generator plan for SQLite book-library: data/library.dbml, helpers/dbml_helpers.py, templates/(table_schema + library_program).jinja2, generator.py driver, generated/library.py output"▴
  • description: "Log plan_stated event to audit record"
24 +35.0s [+0.0s] tool_call Bash
  • command: bash audit/agent-report.sh "49de37e3-7198-4f93-ad2e-e315c17b3570" "plan_stated" "DBML+Jinja2 generator plan for SQLite book-library: data/library.dbml, helpers/dbml_helpers.py, templates/(table_schema…bash audit/agent-report.sh "49de37e3-7198-4f93-ad2e-e315c17b3570" "plan_stated" "DBML+Jinja2 generator plan for SQLite book-library: data/library.dbml, helpers/dbml_helpers.py, templates/(table_schema + library_program).jinja2, generator.py driver, generated/library.py output"▴
  • description: "Log plan_stated event to audit record"
25 +35.0s [+0.0s] agent_report plan_stated DBML+Jinja2 generator plan for SQLite book-library: data/library.dbml, helpers/d…DBML+Jinja2 generator plan for SQLite book-library: data/library.dbml, helpers/dbml_helpers.py, templates/(table_schema + library_program).jinja2, generator.py driver, generated/library.py output▴
26 +35.0s [+0.0s] tool_result PASS
27 +35.0s [+0.0s] tool_result PASS
28 +59.0s [+24.0s] 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 +59.0s [+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.▴
30 +62.0s [+3.0s] tool_call Bash
  • command: "python3 -c "import pydbml; print('pydbml ok', pydbml.__version__)" 2>&1; python3 -c "import jinja2; print('jinja2 ok', jinja2.__version__)" 2>&1"
  • description: "Check if pydbml and jinja2 are available"
31 +62.0s [+0.0s] tool_call Bash
  • command: "python3 -c "import pydbml; print('pydbml ok', pydbml.__version__)" 2>&1; python3 -c "import jinja2; print('jinja2 ok', jinja2.__version__)" 2>&1"
  • description: "Check if pydbml and jinja2 are available"
32 +62.0s [+0.0s] tool_result PASS
33 +62.0s [+0.0s] tool_result PASS
34 +64.0s [+2.0s] tool_call Bash
  • command: "pip install pydbml --quiet 2>&1 | tail -3"
  • description: "Install pydbml"
35 +64.0s [+0.0s] tool_call Bash
  • command: "pip install pydbml --quiet 2>&1 | tail -3"
  • description: "Install pydbml"
36 +65.0s [+1.0s] tool_result PASS
37 +65.0s [+0.0s] tool_result PASS
38 +67.0s [+2.0s] tool_call Bash
  • command: "python3 -c "import pydbml; print('pydbml ok', pydbml.__version__)""
  • description: "Verify pydbml installed"
39 +67.0s [+0.0s] tool_call Bash
  • command: "python3 -c "import pydbml; print('pydbml ok', pydbml.__version__)""
  • description: "Verify pydbml installed"
40 +68.0s [+1.0s] tool_call Bash
  • command: "python3 -c "import pydbml; print('pydbml ok')""
  • description: "Verify pydbml import"
41 +68.0s [+0.0s] tool_call Bash
  • command: "python3 -c "import pydbml; print('pydbml ok')""
  • description: "Verify pydbml import"
42 +68.0s [+0.0s] tool_result PASS
43 +68.0s [+0.0s] tool_result PASS
44 +70.0s [+2.0s] tool_call Bash
  • command: "python3 -c " import pydbml help(pydbml) " 2>&1 | head -60"
  • description: "Inspect pydbml API"
45 +70.0s [+0.0s] tool_call Bash
  • command: "python3 -c " import pydbml help(pydbml) " 2>&1 | head -60"
  • description: "Inspect pydbml API"
46 +70.0s [+0.0s] tool_result PASS
47 +70.0s [+0.0s] tool_result PASS
48 +75.0s [+5.0s] tool_call Bash
  • command: python3 -c " from pydbml import PyDBML # Quick API probe src = ''' Table authors { id integer [pk, increment] name varchar [not null] birth_year integer } Table books { id integer [pk, increme…python3 -c " from pydbml import PyDBML # Quick API probe src = ''' Table authors { id integer [pk, increment] name varchar [not null] birth_year integer } Table books { id integer [pk, increment] title varchar [not null] isbn varchar author_id integer [ref: > authors.id] } ''' db = PyDBML(src) for t in db.tables: print('TABLE:', t.name) for c in t.columns: print(' col:', c.name, c.type, 'pk=', c.pk, 'not_null=', c.not_null, 'increment=', getattr(c,'increment',None)) for r in t.refs: print(' ref:', r) print() print('All refs:') for r in db.refs: print(' ', r, r.col1, r.col2, r.table1, r.table2) "▴
  • description: "Probe pydbml parsing API"
49 +75.0s [+0.0s] tool_call Bash
  • command: python3 -c " from pydbml import PyDBML # Quick API probe src = ''' Table authors { id integer [pk, increment] name varchar [not null] birth_year integer } Table books { id integer [pk, increme…python3 -c " from pydbml import PyDBML # Quick API probe src = ''' Table authors { id integer [pk, increment] name varchar [not null] birth_year integer } Table books { id integer [pk, increment] title varchar [not null] isbn varchar author_id integer [ref: > authors.id] } ''' db = PyDBML(src) for t in db.tables: print('TABLE:', t.name) for c in t.columns: print(' col:', c.name, c.type, 'pk=', c.pk, 'not_null=', c.not_null, 'increment=', getattr(c,'increment',None)) for r in t.refs: print(' ref:', r) print() print('All refs:') for r in db.refs: print(' ', r, r.col1, r.col2, r.table1, r.table2) "▴
  • description: "Probe pydbml parsing API"
50 +78.0s [+3.0s] tool_call Bash
  • command: python3 -c " from pydbml import PyDBML src = ''' Table authors { id integer [pk, increment] name varchar [not null] birth_year integer } Table books { id integer [pk, increment] title varcha…python3 -c " from pydbml import PyDBML src = ''' Table authors { id integer [pk, increment] name varchar [not null] birth_year integer } Table books { id integer [pk, increment] title varchar [not null] isbn varchar author_id integer [ref: > authors.id] } ''' db = PyDBML(src) for t in db.tables: print('TABLE:', t.name) for c in t.columns: print(' col:', c.name, c.type, 'pk=', c.pk, 'not_null=', c.not_null) print(' attrs:', [a for a in dir(c) if not a.startswith('_')]) break break print('DB refs:') for r in db.refs: print(' ', r) print(' attrs:', [a for a in dir(r) if not a.startswith('_')]) break "▴
  • description: "Inspect column and ref attributes in pydbml"
51 +78.0s [+0.0s] tool_call Bash
  • command: python3 -c " from pydbml import PyDBML src = ''' Table authors { id integer [pk, increment] name varchar [not null] birth_year integer } Table books { id integer [pk, increment] title varcha…python3 -c " from pydbml import PyDBML src = ''' Table authors { id integer [pk, increment] name varchar [not null] birth_year integer } Table books { id integer [pk, increment] title varchar [not null] isbn varchar author_id integer [ref: > authors.id] } ''' db = PyDBML(src) for t in db.tables: print('TABLE:', t.name) for c in t.columns: print(' col:', c.name, c.type, 'pk=', c.pk, 'not_null=', c.not_null) print(' attrs:', [a for a in dir(c) if not a.startswith('_')]) break break print('DB refs:') for r in db.refs: print(' ', r) print(' attrs:', [a for a in dir(r) if not a.startswith('_')]) break "▴
  • description: "Inspect column and ref attributes in pydbml"
52 +79.0s [+1.0s] tool_result PASS
53 +79.0s [+0.0s] tool_result PASS
54 +82.0s [+3.0s] tool_call Bash
  • command: python3 -c " from pydbml import PyDBML src = ''' Table authors { id integer [pk, increment] name varchar [not null] birth_year integer } Table books { id integer [pk, increment] title varcha…python3 -c " from pydbml import PyDBML src = ''' Table authors { id integer [pk, increment] name varchar [not null] birth_year integer } Table books { id integer [pk, increment] title varchar [not null] isbn varchar author_id integer [ref: > authors.id] } ''' db = PyDBML(src) for r in db.refs: print('col1:', r.col1, type(r.col1)) print('col2:', r.col2, type(r.col2)) print('table1:', r.table1) print('table2:', r.table2) print('type:', r.type) # col1 and col2 may be lists if isinstance(r.col1, list): for c in r.col1: print(' col1 item:', c.name, 'table:', c.table.name) if isinstance(r.col2, list): for c in r.col2: print(' col2 item:', c.name, 'table:', c.table.name) "▴
  • description: "Understand pydbml ref structure"
55 +82.0s [+0.0s] tool_call Bash
  • command: python3 -c " from pydbml import PyDBML src = ''' Table authors { id integer [pk, increment] name varchar [not null] birth_year integer } Table books { id integer [pk, increment] title varcha…python3 -c " from pydbml import PyDBML src = ''' Table authors { id integer [pk, increment] name varchar [not null] birth_year integer } Table books { id integer [pk, increment] title varchar [not null] isbn varchar author_id integer [ref: > authors.id] } ''' db = PyDBML(src) for r in db.refs: print('col1:', r.col1, type(r.col1)) print('col2:', r.col2, type(r.col2)) print('table1:', r.table1) print('table2:', r.table2) print('type:', r.type) # col1 and col2 may be lists if isinstance(r.col1, list): for c in r.col1: print(' col1 item:', c.name, 'table:', c.table.name) if isinstance(r.col2, list): for c in r.col2: print(' col2 item:', c.name, 'table:', c.table.name) "▴
  • description: "Understand pydbml ref structure"
56 +82.0s [+0.0s] tool_result PASS
57 +82.0s [+0.0s] tool_result PASS
58 +91.0s [+9.0s] tool_call Read
  • file_path: "/tmp/pytest-sandbox/test_library_generator_with_sk0/project/.gitignore"
59 +91.0s [+0.0s] tool_call Read
  • file_path: "/tmp/pytest-sandbox/test_library_generator_with_sk0/project/.gitignore"
60 +91.0s [+0.0s] tool_result PASS
61 +91.0s [+0.0s] tool_result PASS
62 +93.0s [+2.0s] 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/helpers \ /tmp/pytest-sandbox/test_library…mkdir -p /tmp/pytest-sandbox/test_library_generator_with_sk0/project/data \ /tmp/pytest-sandbox/test_library_generator_with_sk0/project/helpers \ /tmp/pytest-sandbox/test_library_generator_with_sk0/project/templates \ /tmp/pytest-sandbox/test_library_generator_with_sk0/project/generated \ && echo "dirs created"▴
  • description: "Create project directories"
63 +93.0s [+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/helpers \ /tmp/pytest-sandbox/test_library…mkdir -p /tmp/pytest-sandbox/test_library_generator_with_sk0/project/data \ /tmp/pytest-sandbox/test_library_generator_with_sk0/project/helpers \ /tmp/pytest-sandbox/test_library_generator_with_sk0/project/templates \ /tmp/pytest-sandbox/test_library_generator_with_sk0/project/generated \ && echo "dirs created"▴
  • description: "Create project directories"
64 +93.0s [+0.0s] tool_result PASS
65 +93.0s [+0.0s] tool_result PASS
66 +97.0s [+4.0s] tool_call Write
  • file_path: "/tmp/pytest-sandbox/test_library_generator_with_sk0/project/data/library.dbml"
  • content: // Book-library schema // Generation unit: table → generated/library.py Table authors { id integer [pk, increment, not null] name varchar [not null] birth_year integer } Table …// Book-library schema // Generation unit: table → generated/library.py Table authors { id integer [pk, increment, not null] name varchar [not null] birth_year integer } Table books { id integer [pk, increment, not null] title varchar [not null] isbn varchar author_id integer [not null, ref: > authors.id] } Table borrowers { id integer [pk, increment, not null] name varchar [not null] email varchar [not null] } Table loans { id integer [pk, increment, not null] book_id integer [not null, ref: > books.id] borrower_id integer [not null, ref: > borrowers.id] loan_date varchar [not null] return_date varchar } ▴
67 +97.0s [+0.0s] tool_call Write
  • file_path: "/tmp/pytest-sandbox/test_library_generator_with_sk0/project/data/library.dbml"
  • content: // Book-library schema // Generation unit: table → generated/library.py Table authors { id integer [pk, increment, not null] name varchar [not null] birth_year integer } Table …// Book-library schema // Generation unit: table → generated/library.py Table authors { id integer [pk, increment, not null] name varchar [not null] birth_year integer } Table books { id integer [pk, increment, not null] title varchar [not null] isbn varchar author_id integer [not null, ref: > authors.id] } Table borrowers { id integer [pk, increment, not null] name varchar [not null] email varchar [not null] } Table loans { id integer [pk, increment, not null] book_id integer [not null, ref: > books.id] borrower_id integer [not null, ref: > borrowers.id] loan_date varchar [not null] return_date varchar } ▴
68 +97.0s [+0.0s] tool_result PASS
69 +97.0s [+0.0s] tool_result PASS
70 +99.0s [+2.0s] tool_call Write
  • file_path: "/tmp/pytest-sandbox/test_library_generator_with_sk0/project/helpers/__init__.py"
  • content: ""
71 +99.0s [+0.0s] tool_call Write
  • file_path: "/tmp/pytest-sandbox/test_library_generator_with_sk0/project/helpers/__init__.py"
  • content: ""
72 +99.0s [+0.0s] tool_result PASS
73 +99.0s [+0.0s] tool_result PASS
74 +114.0s [+15.0s] tool_call Write
  • file_path: "/tmp/pytest-sandbox/test_library_generator_with_sk0/project/helpers/dbml_helpers.py"
  • content: """ dbml_helpers.py — reshape PyDBML parsed objects into template-ready dicts. Rules (generator-coding skill): - All data reshaping lives here, NOT in templates. - Templates iterate; helpers comp…""" dbml_helpers.py — reshape PyDBML parsed objects into template-ready dicts. Rules (generator-coding skill): - All data reshaping lives here, NOT in templates. - Templates iterate; helpers compute. """ from __future__ import annotations from typing import Any # --------------------------------------------------------------------------- # Type mapping # --------------------------------------------------------------------------- _SQLITE_TYPE_MAP: dict[str, str] = { "integer": "INTEGER", "int": "INTEGER", "bigint": "INTEGER", "smallint":"INTEGER", "tinyint": "INTEGER", "bool": "INTEGER", "boolean": "INTEGER", "varchar": "TEXT", "char": "TEXT", "text": "TEXT", "string": "TEXT", "date": "TEXT", # SQLite stores dates as TEXT (ISO 8601) "datetime":"TEXT", "timestamp":"TEXT", "float": "REAL", "double": "REAL", "decimal": "REAL", "numeric": "REAL", "blob": "BLOB", } def dbml_to_sqlite_type(type_str: str) -> str: """Map a DBML type string to its SQLite affinity keyword.""" key = type_str.lower().split("(")[0].strip() # strip length, e.g. varchar(255) return _SQLITE_TYPE_MAP.get(key, "TEXT") # --------------------------------------------------------------------------- # Column constraints # --------------------------------------------------------------------------- def column_constraints(col: Any) -> str: """ Return the SQLite constraint fragment for a column (after the type). PK columns become: PRIMARY KEY AUTOINCREMENT NOT NULL columns: NOT NULL Plain nullable: (empty string) """ parts: list[str] = [] if col.pk: parts.append("PRIMARY KEY AUTOINCREMENT") elif col.not_null: parts.append("NOT NULL") return (" " + " ".join(parts)) if parts else "" # --------------------------------------------------------------------------- # Foreign-key extraction # --------------------------------------------------------------------------- def foreign_keys_for_table(table_name: str, all_refs: list[Any]) -> list[dict]: """ Return FK dicts for *table_name* from the global refs list. Each dict: { "col": str, "ref_table": str, "ref_col": str } PyDBML ref.type ">" means col1 → col2 (many-to-one from col1's table). """ fks: list[dict] = [] for ref in all_refs: # ref.type ">" : table1.col1 references table2.col2 if ref.type == ">": src_cols = ref.col1 # list of Column objects tgt_cols = ref.col2 elif ref.type == "<": src_cols = ref.col2 tgt_cols = ref.col1 else: continue # many-to-many or self; skip if not src_cols: continue src_table = src_cols[0].table.name if src_table != table_name: continue tgt_table = tgt_cols[0].table.name fks.append({ "col": src_cols[0].name, "ref_table": tgt_table, "ref_col": tgt_cols[0].name, }) return fks # --------------------------------------------------------------------------- # Main reshape: build template-ready table list # --------------------------------------------------------------------------- def prepare_tables(db: Any) -> list[dict]: """ Convert a PyDBML Database object into a list of table dicts suitable for Jinja2 template iteration. Each table dict: { "name": str, "columns": [ { "name": str, "sqlite_type": str, "constraints": str }, ... ], "foreign_keys": [ { "col": str, "ref_table": str, "ref_col": str }, ... ], } """ tables: list[dict] = [] all_refs = list(db.refs) for table in db.tables: columns = [ { "name": col.name, "sqlite_type": dbml_to_sqlite_type(str(col.type)), "constraints": column_constraints(col), } for col in table.columns ] fks = foreign_keys_for_table(table.name, all_refs) tables.append({ "name": table.name, "columns": columns, "foreign_keys": fks, }) return tables ▴
75 +114.0s [+0.0s] tool_call Write
  • file_path: "/tmp/pytest-sandbox/test_library_generator_with_sk0/project/helpers/dbml_helpers.py"
  • content: """ dbml_helpers.py — reshape PyDBML parsed objects into template-ready dicts. Rules (generator-coding skill): - All data reshaping lives here, NOT in templates. - Templates iterate; helpers comp…""" dbml_helpers.py — reshape PyDBML parsed objects into template-ready dicts. Rules (generator-coding skill): - All data reshaping lives here, NOT in templates. - Templates iterate; helpers compute. """ from __future__ import annotations from typing import Any # --------------------------------------------------------------------------- # Type mapping # --------------------------------------------------------------------------- _SQLITE_TYPE_MAP: dict[str, str] = { "integer": "INTEGER", "int": "INTEGER", "bigint": "INTEGER", "smallint":"INTEGER", "tinyint": "INTEGER", "bool": "INTEGER", "boolean": "INTEGER", "varchar": "TEXT", "char": "TEXT", "text": "TEXT", "string": "TEXT", "date": "TEXT", # SQLite stores dates as TEXT (ISO 8601) "datetime":"TEXT", "timestamp":"TEXT", "float": "REAL", "double": "REAL", "decimal": "REAL", "numeric": "REAL", "blob": "BLOB", } def dbml_to_sqlite_type(type_str: str) -> str: """Map a DBML type string to its SQLite affinity keyword.""" key = type_str.lower().split("(")[0].strip() # strip length, e.g. varchar(255) return _SQLITE_TYPE_MAP.get(key, "TEXT") # --------------------------------------------------------------------------- # Column constraints # --------------------------------------------------------------------------- def column_constraints(col: Any) -> str: """ Return the SQLite constraint fragment for a column (after the type). PK columns become: PRIMARY KEY AUTOINCREMENT NOT NULL columns: NOT NULL Plain nullable: (empty string) """ parts: list[str] = [] if col.pk: parts.append("PRIMARY KEY AUTOINCREMENT") elif col.not_null: parts.append("NOT NULL") return (" " + " ".join(parts)) if parts else "" # --------------------------------------------------------------------------- # Foreign-key extraction # --------------------------------------------------------------------------- def foreign_keys_for_table(table_name: str, all_refs: list[Any]) -> list[dict]: """ Return FK dicts for *table_name* from the global refs list. Each dict: { "col": str, "ref_table": str, "ref_col": str } PyDBML ref.type ">" means col1 → col2 (many-to-one from col1's table). """ fks: list[dict] = [] for ref in all_refs: # ref.type ">" : table1.col1 references table2.col2 if ref.type == ">": src_cols = ref.col1 # list of Column objects tgt_cols = ref.col2 elif ref.type == "<": src_cols = ref.col2 tgt_cols = ref.col1 else: continue # many-to-many or self; skip if not src_cols: continue src_table = src_cols[0].table.name if src_table != table_name: continue tgt_table = tgt_cols[0].table.name fks.append({ "col": src_cols[0].name, "ref_table": tgt_table, "ref_col": tgt_cols[0].name, }) return fks # --------------------------------------------------------------------------- # Main reshape: build template-ready table list # --------------------------------------------------------------------------- def prepare_tables(db: Any) -> list[dict]: """ Convert a PyDBML Database object into a list of table dicts suitable for Jinja2 template iteration. Each table dict: { "name": str, "columns": [ { "name": str, "sqlite_type": str, "constraints": str }, ... ], "foreign_keys": [ { "col": str, "ref_table": str, "ref_col": str }, ... ], } """ tables: list[dict] = [] all_refs = list(db.refs) for table in db.tables: columns = [ { "name": col.name, "sqlite_type": dbml_to_sqlite_type(str(col.type)), "constraints": column_constraints(col), } for col in table.columns ] fks = foreign_keys_for_table(table.name, all_refs) tables.append({ "name": table.name, "columns": columns, "foreign_keys": fks, }) return tables ▴
76 +114.0s [+0.0s] tool_result PASS
77 +114.0s [+0.0s] tool_result PASS
78 +119.0s [+5.0s] tool_call Write
  • file_path: "/tmp/pytest-sandbox/test_library_generator_with_sk0/project/templates/table_schema.py.jinja2"
  • content: {# table_schema.py.jinja2 Generation unit: table Renders one SQL CREATE TABLE block. Expects: {{ table }} dict from helpers.prepare_tables() #} CREATE TABLE IF NOT EXISTS {{ table.name }}…{# table_schema.py.jinja2 Generation unit: table Renders one SQL CREATE TABLE block. Expects: {{ table }} dict from helpers.prepare_tables() #} CREATE TABLE IF NOT EXISTS {{ table.name }} ( {%- for col in table.columns %} {{ col.name }} {{ col.sqlite_type }}{{ col.constraints }}{% if not loop.last or table.foreign_keys %},{% endif %} {%- endfor %} {%- for fk in table.foreign_keys %} FOREIGN KEY ({{ fk.col }}) REFERENCES {{ fk.ref_table }}({{ fk.ref_col }}){% if not loop.last %},{% endif %} {%- endfor %} ) ▴
79 +119.0s [+0.0s] tool_call Write
  • file_path: "/tmp/pytest-sandbox/test_library_generator_with_sk0/project/templates/table_schema.py.jinja2"
  • content: {# table_schema.py.jinja2 Generation unit: table Renders one SQL CREATE TABLE block. Expects: {{ table }} dict from helpers.prepare_tables() #} CREATE TABLE IF NOT EXISTS {{ table.name }}…{# table_schema.py.jinja2 Generation unit: table Renders one SQL CREATE TABLE block. Expects: {{ table }} dict from helpers.prepare_tables() #} CREATE TABLE IF NOT EXISTS {{ table.name }} ( {%- for col in table.columns %} {{ col.name }} {{ col.sqlite_type }}{{ col.constraints }}{% if not loop.last or table.foreign_keys %},{% endif %} {%- endfor %} {%- for fk in table.foreign_keys %} FOREIGN KEY ({{ fk.col }}) REFERENCES {{ fk.ref_table }}({{ fk.ref_col }}){% if not loop.last %},{% endif %} {%- endfor %} ) ▴
80 +119.0s [+0.0s] tool_result PASS
81 +119.0s [+0.0s] tool_result PASS
82 +134.0s [+15.0s] tool_call Write
  • file_path: "/tmp/pytest-sandbox/test_library_generator_with_sk0/project/templates/library_program.py.jinja2"
  • content: {# library_program.py.jinja2 Generation unit: system (entire library.py) Expects: {{ tables }} list from helpers.prepare_tables() DO NOT EDIT — generated by generator.py from data/library.dbm…{# library_program.py.jinja2 Generation unit: system (entire library.py) Expects: {{ tables }} list from helpers.prepare_tables() DO NOT EDIT — generated by generator.py from data/library.dbml #} # ---------------------------------------------------------------------------- # library.py — SQLite book-library system # DO NOT EDIT — generated by generator.py from data/library.dbml # ---------------------------------------------------------------------------- import sqlite3 from pathlib import Path DB_PATH = Path(__file__).parent / "library.db" def create_connection(db_path: Path = DB_PATH) -> sqlite3.Connection: conn = sqlite3.connect(db_path) conn.execute("PRAGMA foreign_keys = ON") conn.row_factory = sqlite3.Row return conn # --------------------------------------------------------------------------- # Schema — generated from data/library.dbml # --------------------------------------------------------------------------- def create_tables(conn: sqlite3.Connection) -> None: with conn: conn.executescript( """ PRAGMA foreign_keys = ON; {% for table in tables %} {% include "table_schema.py.jinja2" %}; {% endfor %} """ ) # --------------------------------------------------------------------------- # Sample data — 3 authors, 5 books, 2 borrowers, 2 loans # --------------------------------------------------------------------------- def insert_sample_data(conn: sqlite3.Connection) -> None: with conn: # Authors conn.executemany( "INSERT OR IGNORE INTO authors (id, name, birth_year) VALUES (?, ?, ?)", [ (1, "J.R.R. Tolkien", 1892), (2, "George Orwell", 1903), (3, "Ursula K. Le Guin",1929), ], ) # Books conn.executemany( "INSERT OR IGNORE INTO books (id, title, isbn, author_id) VALUES (?, ?, ?, ?)", [ (1, "The Hobbit", "978-0-261-10221-7", 1), (2, "The Lord of the Rings", "978-0-261-10235-4", 1), (3, "Nineteen Eighty-Four", "978-0-141-03614-4", 2), (4, "Animal Farm", "978-0-141-18776-1", 2), (5, "The Left Hand of Darkness", "978-0-441-47812-5", 3), ], ) # Borrowers conn.executemany( "INSERT OR IGNORE INTO borrowers (id, name, email) VALUES (?, ?, ?)", [ (1, "Alice Smith", "alice@example.com"), (2, "Bob Jones", "bob@example.com"), ], ) # Loans — one returned (return_date set), one active (return_date NULL) conn.executemany( "INSERT OR IGNORE INTO loans (id, book_id, borrower_id, loan_date, return_date)" " VALUES (?, ?, ?, ?, ?)", [ (1, 3, 2, "2024-01-10", "2024-01-24"), # Returned: Bob borrowed 1984 (2, 1, 1, "2024-03-15", None), # Active: Alice has The Hobbit ], ) # --------------------------------------------------------------------------- # Report # --------------------------------------------------------------------------- def print_active_loans(conn: sqlite3.Connection) -> None: rows = conn.execute( """ SELECT b.title AS book_title, bw.name AS borrower_name, bw.email AS borrower_email, l.loan_date FROM loans l JOIN books b ON b.id = l.book_id JOIN borrowers bw ON bw.id = l.borrower_id WHERE l.return_date IS NULL ORDER BY l.loan_date """ ).fetchall() print("=" * 52) print("Active Loans Report") print("=" * 52) if not rows: print(" (no active loans)") for row in rows: print(f' "{row["book_title"]}"') print(f' Borrower : {row["borrower_name"]} <{row["borrower_email"]}>') print(f' Loan date: {row["loan_date"]}') print() print("=" * 52) # --------------------------------------------------------------------------- # Entry point # --------------------------------------------------------------------------- def main() -> None: conn = create_connection() create_tables(conn) insert_sample_data(conn) print_active_loans(conn) conn.close() if __name__ == "__main__": main() ▴
83 +134.0s [+0.0s] tool_call Write
  • file_path: "/tmp/pytest-sandbox/test_library_generator_with_sk0/project/templates/library_program.py.jinja2"
  • content: {# library_program.py.jinja2 Generation unit: system (entire library.py) Expects: {{ tables }} list from helpers.prepare_tables() DO NOT EDIT — generated by generator.py from data/library.dbm…{# library_program.py.jinja2 Generation unit: system (entire library.py) Expects: {{ tables }} list from helpers.prepare_tables() DO NOT EDIT — generated by generator.py from data/library.dbml #} # ---------------------------------------------------------------------------- # library.py — SQLite book-library system # DO NOT EDIT — generated by generator.py from data/library.dbml # ---------------------------------------------------------------------------- import sqlite3 from pathlib import Path DB_PATH = Path(__file__).parent / "library.db" def create_connection(db_path: Path = DB_PATH) -> sqlite3.Connection: conn = sqlite3.connect(db_path) conn.execute("PRAGMA foreign_keys = ON") conn.row_factory = sqlite3.Row return conn # --------------------------------------------------------------------------- # Schema — generated from data/library.dbml # --------------------------------------------------------------------------- def create_tables(conn: sqlite3.Connection) -> None: with conn: conn.executescript( """ PRAGMA foreign_keys = ON; {% for table in tables %} {% include "table_schema.py.jinja2" %}; {% endfor %} """ ) # --------------------------------------------------------------------------- # Sample data — 3 authors, 5 books, 2 borrowers, 2 loans # --------------------------------------------------------------------------- def insert_sample_data(conn: sqlite3.Connection) -> None: with conn: # Authors conn.executemany( "INSERT OR IGNORE INTO authors (id, name, birth_year) VALUES (?, ?, ?)", [ (1, "J.R.R. Tolkien", 1892), (2, "George Orwell", 1903), (3, "Ursula K. Le Guin",1929), ], ) # Books conn.executemany( "INSERT OR IGNORE INTO books (id, title, isbn, author_id) VALUES (?, ?, ?, ?)", [ (1, "The Hobbit", "978-0-261-10221-7", 1), (2, "The Lord of the Rings", "978-0-261-10235-4", 1), (3, "Nineteen Eighty-Four", "978-0-141-03614-4", 2), (4, "Animal Farm", "978-0-141-18776-1", 2), (5, "The Left Hand of Darkness", "978-0-441-47812-5", 3), ], ) # Borrowers conn.executemany( "INSERT OR IGNORE INTO borrowers (id, name, email) VALUES (?, ?, ?)", [ (1, "Alice Smith", "alice@example.com"), (2, "Bob Jones", "bob@example.com"), ], ) # Loans — one returned (return_date set), one active (return_date NULL) conn.executemany( "INSERT OR IGNORE INTO loans (id, book_id, borrower_id, loan_date, return_date)" " VALUES (?, ?, ?, ?, ?)", [ (1, 3, 2, "2024-01-10", "2024-01-24"), # Returned: Bob borrowed 1984 (2, 1, 1, "2024-03-15", None), # Active: Alice has The Hobbit ], ) # --------------------------------------------------------------------------- # Report # --------------------------------------------------------------------------- def print_active_loans(conn: sqlite3.Connection) -> None: rows = conn.execute( """ SELECT b.title AS book_title, bw.name AS borrower_name, bw.email AS borrower_email, l.loan_date FROM loans l JOIN books b ON b.id = l.book_id JOIN borrowers bw ON bw.id = l.borrower_id WHERE l.return_date IS NULL ORDER BY l.loan_date """ ).fetchall() print("=" * 52) print("Active Loans Report") print("=" * 52) if not rows: print(" (no active loans)") for row in rows: print(f' "{row["book_title"]}"') print(f' Borrower : {row["borrower_name"]} <{row["borrower_email"]}>') print(f' Loan date: {row["loan_date"]}') print() print("=" * 52) # --------------------------------------------------------------------------- # Entry point # --------------------------------------------------------------------------- def main() -> None: conn = create_connection() create_tables(conn) insert_sample_data(conn) print_active_loans(conn) conn.close() if __name__ == "__main__": main() ▴
84 +134.0s [+0.0s] tool_result PASS
85 +134.0s [+0.0s] tool_result PASS
86 +145.0s [+11.0s] tool_call Write
  • file_path: "/tmp/pytest-sandbox/test_library_generator_with_sk0/project/generator.py"
  • content: #!/usr/bin/env python3 """ generator.py — DBML → Python SQLite generator Pipeline: data/library.dbml → pydbml parser → helpers → Jinja2 → generated/library.py Usage: python generator.py [--dbml P…#!/usr/bin/env python3 """ generator.py — DBML → Python SQLite generator Pipeline: data/library.dbml → pydbml parser → helpers → Jinja2 → generated/library.py Usage: python generator.py [--dbml PATH] [--out PATH] Rules (generator-coding skill): - Never edit generated output; fix the data model or template instead. - StrictUndefined: missing template variables fail loudly. - trim_blocks + lstrip_blocks: output whitespace is clean. """ from __future__ import annotations import argparse import sys from pathlib import Path from jinja2 import Environment, FileSystemLoader, StrictUndefined from pydbml import PyDBML # Project root is the directory containing this file PROJECT_ROOT = Path(__file__).parent DEFAULT_DBML = PROJECT_ROOT / "data" / "library.dbml" DEFAULT_OUT = PROJECT_ROOT / "generated" / "library.py" TEMPLATES = PROJECT_ROOT / "templates" def parse_args() -> argparse.Namespace: p = argparse.ArgumentParser(description="DBML → Python SQLite generator") p.add_argument("--dbml", type=Path, default=DEFAULT_DBML, help="Path to the DBML schema file") p.add_argument("--out", type=Path, default=DEFAULT_OUT, help="Output file path") return p.parse_args() def build_jinja_env(template_dir: Path) -> Environment: """Jinja2 environment: StrictUndefined, clean whitespace.""" return Environment( loader=FileSystemLoader(str(template_dir)), undefined=StrictUndefined, trim_blocks=True, lstrip_blocks=True, keep_trailing_newline=True, ) def main() -> None: args = parse_args() # ------------------------------------------------------------------ # 1. Parse DBML # ------------------------------------------------------------------ if not args.dbml.exists(): sys.exit(f"ERROR: DBML file not found: {args.dbml}") print(f"Parsing {args.dbml} …") db = PyDBML(args.dbml.read_text(encoding="utf-8")) # ------------------------------------------------------------------ # 2. Reshape with helpers # ------------------------------------------------------------------ # Import from helpers package (same project root) sys.path.insert(0, str(PROJECT_ROOT)) from helpers.dbml_helpers import prepare_tables # noqa: E402 tables = prepare_tables(db) print(f" {len(tables)} table(s): {', '.join(t['name'] for t in tables)}") # ------------------------------------------------------------------ # 3. Render template # ------------------------------------------------------------------ env = build_jinja_env(TEMPLATES) template = env.get_template("library_program.py.jinja2") output = template.render(tables=tables) # ------------------------------------------------------------------ # 4. Write output # ------------------------------------------------------------------ args.out.parent.mkdir(parents=True, exist_ok=True) args.out.write_text(output, encoding="utf-8") print(f"Generated → {args.out}") if __name__ == "__main__": main() ▴
87 +145.0s [+0.0s] tool_call Write
  • file_path: "/tmp/pytest-sandbox/test_library_generator_with_sk0/project/generator.py"
  • content: #!/usr/bin/env python3 """ generator.py — DBML → Python SQLite generator Pipeline: data/library.dbml → pydbml parser → helpers → Jinja2 → generated/library.py Usage: python generator.py [--dbml P…#!/usr/bin/env python3 """ generator.py — DBML → Python SQLite generator Pipeline: data/library.dbml → pydbml parser → helpers → Jinja2 → generated/library.py Usage: python generator.py [--dbml PATH] [--out PATH] Rules (generator-coding skill): - Never edit generated output; fix the data model or template instead. - StrictUndefined: missing template variables fail loudly. - trim_blocks + lstrip_blocks: output whitespace is clean. """ from __future__ import annotations import argparse import sys from pathlib import Path from jinja2 import Environment, FileSystemLoader, StrictUndefined from pydbml import PyDBML # Project root is the directory containing this file PROJECT_ROOT = Path(__file__).parent DEFAULT_DBML = PROJECT_ROOT / "data" / "library.dbml" DEFAULT_OUT = PROJECT_ROOT / "generated" / "library.py" TEMPLATES = PROJECT_ROOT / "templates" def parse_args() -> argparse.Namespace: p = argparse.ArgumentParser(description="DBML → Python SQLite generator") p.add_argument("--dbml", type=Path, default=DEFAULT_DBML, help="Path to the DBML schema file") p.add_argument("--out", type=Path, default=DEFAULT_OUT, help="Output file path") return p.parse_args() def build_jinja_env(template_dir: Path) -> Environment: """Jinja2 environment: StrictUndefined, clean whitespace.""" return Environment( loader=FileSystemLoader(str(template_dir)), undefined=StrictUndefined, trim_blocks=True, lstrip_blocks=True, keep_trailing_newline=True, ) def main() -> None: args = parse_args() # ------------------------------------------------------------------ # 1. Parse DBML # ------------------------------------------------------------------ if not args.dbml.exists(): sys.exit(f"ERROR: DBML file not found: {args.dbml}") print(f"Parsing {args.dbml} …") db = PyDBML(args.dbml.read_text(encoding="utf-8")) # ------------------------------------------------------------------ # 2. Reshape with helpers # ------------------------------------------------------------------ # Import from helpers package (same project root) sys.path.insert(0, str(PROJECT_ROOT)) from helpers.dbml_helpers import prepare_tables # noqa: E402 tables = prepare_tables(db) print(f" {len(tables)} table(s): {', '.join(t['name'] for t in tables)}") # ------------------------------------------------------------------ # 3. Render template # ------------------------------------------------------------------ env = build_jinja_env(TEMPLATES) template = env.get_template("library_program.py.jinja2") output = template.render(tables=tables) # ------------------------------------------------------------------ # 4. Write output # ------------------------------------------------------------------ args.out.parent.mkdir(parents=True, exist_ok=True) args.out.write_text(output, encoding="utf-8") print(f"Generated → {args.out}") if __name__ == "__main__": main() ▴
88 +145.0s [+0.0s] tool_result PASS
89 +145.0s [+0.0s] tool_result PASS
90 +148.0s [+3.0s] tool_call Edit
  • file_path: "/tmp/pytest-sandbox/test_library_generator_with_sk0/project/.gitignore"
  • old_string: "audit/ops_record/"
  • new_string: "audit/ops_record/ # Generated output — never hand-edit; re-run generator.py generated/ # SQLite database created at runtime *.db __pycache__/ *.pyc"
  • replace_all: false
91 +148.0s [+0.0s] tool_call Edit
  • file_path: "/tmp/pytest-sandbox/test_library_generator_with_sk0/project/.gitignore"
  • old_string: "audit/ops_record/"
  • new_string: "audit/ops_record/ # Generated output — never hand-edit; re-run generator.py generated/ # SQLite database created at runtime *.db __pycache__/ *.pyc"
  • replace_all: false
92 +148.0s [+0.0s] tool_result PASS
93 +148.0s [+0.0s] tool_result PASS
94 +150.0s [+2.0s] tool_call Bash
  • command: "python3 generator.py 2>&1"
  • description: "Run the generator to produce generated/library.py"
95 +150.0s [+0.0s] tool_call Bash
  • command: "python3 generator.py 2>&1"
  • description: "Run the generator to produce generated/library.py"
96 +150.0s [+0.0s] tool_result PASS
97 +150.0s [+0.0s] tool_result PASS
98 +151.0s [+1.0s] tool_call Read
  • file_path: "/tmp/pytest-sandbox/test_library_generator_with_sk0/project/generated/library.py"
99 +151.0s [+0.0s] tool_call Read
  • file_path: "/tmp/pytest-sandbox/test_library_generator_with_sk0/project/generated/library.py"
100 +152.0s [+1.0s] tool_result PASS
101 +152.0s [+0.0s] tool_result PASS
102 +163.0s [+11.0s] tool_call Write
  • file_path: "/tmp/pytest-sandbox/test_library_generator_with_sk0/project/templates/table_schema.py.jinja2"
  • content: {# table_schema.py.jinja2 Generation unit: table Renders one SQL CREATE TABLE block. Expects: {{ table }} dict from helpers.prepare_tables() Note: included inside an executescript() string…{# table_schema.py.jinja2 Generation unit: table Renders one SQL CREATE TABLE block. Expects: {{ table }} dict from helpers.prepare_tables() Note: included inside an executescript() string; indent 12 spaces. #} CREATE TABLE IF NOT EXISTS {{ table.name }} ( {% for col in table.columns %} {{ col.name }} {{ col.sqlite_type }}{{ col.constraints }}{% if not loop.last or table.foreign_keys %},{% endif %} {% endfor %} {% for fk in table.foreign_keys %} FOREIGN KEY ({{ fk.col }}) REFERENCES {{ fk.ref_table }}({{ fk.ref_col }}){% if not loop.last %},{% endif %} {% endfor %} )▴
103 +163.0s [+0.0s] tool_call Write
  • file_path: "/tmp/pytest-sandbox/test_library_generator_with_sk0/project/templates/table_schema.py.jinja2"
  • content: {# table_schema.py.jinja2 Generation unit: table Renders one SQL CREATE TABLE block. Expects: {{ table }} dict from helpers.prepare_tables() Note: included inside an executescript() string…{# table_schema.py.jinja2 Generation unit: table Renders one SQL CREATE TABLE block. Expects: {{ table }} dict from helpers.prepare_tables() Note: included inside an executescript() string; indent 12 spaces. #} CREATE TABLE IF NOT EXISTS {{ table.name }} ( {% for col in table.columns %} {{ col.name }} {{ col.sqlite_type }}{{ col.constraints }}{% if not loop.last or table.foreign_keys %},{% endif %} {% endfor %} {% for fk in table.foreign_keys %} FOREIGN KEY ({{ fk.col }}) REFERENCES {{ fk.ref_table }}({{ fk.ref_col }}){% if not loop.last %},{% endif %} {% endfor %} )▴
104 +163.0s [+0.0s] tool_result PASS
105 +163.0s [+0.0s] tool_result PASS
106 +167.0s [+4.0s] tool_call Bash
  • command: python3 generator.py 2>&1 && echo "---SQL preview---" && python3 -c " import ast, textwrap src = open('generated/library.py').read() # Pull out the string inside executescript() start = src.index('exe…python3 generator.py 2>&1 && echo "---SQL preview---" && python3 -c " import ast, textwrap src = open('generated/library.py').read() # Pull out the string inside executescript() start = src.index('executescript(') + len('executescript(') # find the triple-quote string tq = src.index('\"\"\"', start) end = src.index('\"\"\"', tq+3) print(src[tq:end+3]) "▴
  • description: "Regenerate and preview the SQL block formatting"
107 +167.0s [+0.0s] tool_call Bash
  • command: python3 generator.py 2>&1 && echo "---SQL preview---" && python3 -c " import ast, textwrap src = open('generated/library.py').read() # Pull out the string inside executescript() start = src.index('exe…python3 generator.py 2>&1 && echo "---SQL preview---" && python3 -c " import ast, textwrap src = open('generated/library.py').read() # Pull out the string inside executescript() start = src.index('executescript(') + len('executescript(') # find the triple-quote string tq = src.index('\"\"\"', start) end = src.index('\"\"\"', tq+3) print(src[tq:end+3]) "▴
  • description: "Regenerate and preview the SQL block formatting"
108 +167.0s [+0.0s] tool_result PASS
109 +167.0s [+0.0s] tool_result PASS
110 +169.0s [+2.0s] tool_call Bash
  • command: "cp /tmp/pytest-sandbox/test_library_generator_with_sk0/project/generated/library.py \ /tmp/pytest-sandbox/test_library_generator_with_sk0/project/library.py \ && echo "Copied.""
  • description: "Copy generated library.py to project root"
111 +169.0s [+0.0s] tool_call Bash
  • command: "cp /tmp/pytest-sandbox/test_library_generator_with_sk0/project/generated/library.py \ /tmp/pytest-sandbox/test_library_generator_with_sk0/project/library.py \ && echo "Copied.""
  • description: "Copy generated library.py to project root"
112 +169.0s [+0.0s] tool_result PASS
113 +169.0s [+0.0s] tool_result PASS
114 +171.0s [+2.0s] tool_call Bash
  • command: "python3 library.py 2>&1"
  • description: "Run the generated library.py end-to-end"
115 +171.0s [+0.0s] tool_call Bash
  • command: "python3 library.py 2>&1"
  • description: "Run the generated library.py end-to-end"
116 +171.0s [+0.0s] tool_result PASS
117 +171.0s [+0.0s] tool_result PASS
118 +174.0s [+3.0s] tool_call Bash
  • command: "python3 library.py 2>&1 && echo "---" && find . -not -path './.git/*' -not -path './audit/*' -not -path './__pycache__/*' -not -name '*.pyc' | sort"
  • description: "Second run (idempotency) and final file tree"
119 +174.0s [+0.0s] tool_call Bash
  • command: "python3 library.py 2>&1 && echo "---" && find . -not -path './.git/*' -not -path './audit/*' -not -path './__pycache__/*' -not -name '*.pyc' | sort"
  • description: "Second run (idempotency) and final file tree"
120 +174.0s [+0.0s] tool_result PASS
121 +174.0s [+0.0s] tool_result PASS
requirePASS no error
expectPASS files exist: *.dbml — found 1: ['data/library.dbml']
expectPASS files exist: *.jinja2 | *.j2 | *.jinja — found 2: ['templates/library_program.py.jinja2', 'templates/table_schema.py.jinja2']
achieveACHIEVED generator script present [challenging] — generator files: ['generator.py', 'generated/library.py', 'audit/agent-report.sh']
achieveACHIEVED library output present [expected]
achieveACHIEVED file contains /jinja2|from jinja/ in *.py [challenging]

Test Checks

KindCheckDetail
PASSrequire[Implement] result exists

Project Files

74 file(s) in project (excluding .git, __pycache__):

Aggregate Statistics

Total Events
132
Tool Successes
59
Tool Failures
0
Sessions
2
Total Turns
25
Input Tokens
26
Output Tokens
9,083
Cache Read
868,525
Cache Created
16,031
Total Cost
$0.6863
Total Duration
126s
API Time
180s

Tool Usage Breakdown

ToolCalls
Bash36
Write14
Read11
Skill4
Edit2