CodeSampleX

Пример

sqlalchemy 2.0.51: engine.CursorResult

Проверенный пример — pypi sqlalchemy 2.0.51: engine.CursorResult. Контракт выполнен на python 3.12 · linux debian/x64 · docker и пройден.

sha256:6ad43a6b7d8ba9a3ad57f52f56d6cc4cc1053d2029fdce6c8650ff8b21755b8c

Эта сеть предлагает одно: образец, который собирается. Она запустила его в песочнице и сохранила подписанную квитанцию. Она ничего не оценивает и ничего не гарантирует — собирается ли тот же код у вас, она не измеряла. Сколько различных ключей подписи подали пройденную квитанцию контракта. Один — только автор; больше одного — значит, кто-то ещё тоже собрал. Ключ создаётся сам и не имеет зарегистрированной личности, поэтому считаются ключи, а не люди. MIT-0

Свидетельства выполнения

Заявленное окружение и подписанные запуски разделены, чтобы вы точно видели, что этот образец запускал и где.

Основа свидетельства
Подписанный контракт пройден
Квитанции проверки
1
Ключи подписи, собравшие его
1
Заявленная среда linux 24 · ubuntu · glibc 2.39 x64 pip

Среды запусков проверки

Окружение Контракт Этапы Запуск
python 3.12 · linux debian/x64 · docker ed25519:c1973797be207ac4 PASS compile:SKIPPED · contract:PASS · load:PASS · resolve:PASS
CONTAINER_RUN · python@1python:3.12-slim@sha256:09f7da3bc104…		 2026-09-04

Кейс

HOW
Цель
verify sqlalchemy.engine.CursorResult in pkg:pypi/sqlalchemy@2.0.51
Пакеты
Символы
  • sqlalchemy.engine.CursorResult
Создан
2026-09-04T08:54:46Z

Контракт

  1. CursorResult is returned by Connection.execute with returns_rows reflecting row availability
  2. CursorResult fetches rows via fetchone and fetchall while keys provides RMKeyView column names
  3. CursorResult mappings yields RowMapping objects enabling key-based column access
  4. CursorResult scalar_one and scalars extract single scalar values from result columns
  5. CursorResult rowcount reflects affected rows for DML operations and inserted_primary_key returns inserted keys

Файлы

  • PROMPT.md
  • csx.json
  • pyproject.toml
  • requirements.txt
  • sample.py
  • spec.json
  • test/contract.py
  • uv.lock

Скачать артефакт с исходным кодом (tar.gz)

Исходный код

PROMPT.md
Clean-room public code sample — generation instructions

Write a brand-new, minimal, self-contained code sample in this clean-room directory.
Do not copy, paraphrase, or reference any existing project source. Work only from this spec.

A csx.json manifest scaffold already exists. Do not recreate it from memory. Preserve its case.goal, packages and symbols; fill its empty case.contract with exact assertions and correct its environment, commands and verifierAdapter for the files you generate.

Goal: verify sqlalchemy.engine.CursorResult in pkg:pypi/sqlalchemy@2.0.51
Kind: HOW

Use EXACTLY these public packages and versions:
  - pkg:pypi/sqlalchemy@2.0.51
Demonstrate these symbols/APIs:
  - sqlalchemy.engine.CursorResult

Rules:
  - One focused purpose; the smallest project that proves the goal.
  - Include a contract test (test/contract.*) that runs OFFLINE and exits 0 exactly when the goal behavior works.
  - Pin every dependency with a lockfile so resolution is reproducible.
  - No secrets, credentials, or tokens. No real URLs (only example.com or localhost). No absolute paths.
  - No personal names, emails, company names, or project identifiers of any kind.
  - No binaries and no generated output (node_modules, dist, target, venv, .git, .env).
  - Keep it under 200 files and 256KB packed.
csx.json
{"case":{"caseId":"case:sha256:4c99f8718bf6a047040abc5edede8e74f51fc8d026acec22c53c5e187213eef1","contract":["CursorResult is returned by Connection.execute with returns_rows reflecting row availability","CursorResult fetches rows via fetchone and fetchall while keys provides RMKeyView column names","CursorResult mappings yields RowMapping objects enabling key-based column access","CursorResult scalar_one and scalars extract single scalar values from result columns","CursorResult rowcount reflects affected rows for DML operations and inserted_primary_key returns inserted keys"],"goal":"verify sqlalchemy.engine.CursorResult in pkg:pypi/sqlalchemy@2.0.51","kind":"HOW","packages":["pkg:pypi/sqlalchemy@2.0.51"],"schemaVersion":1,"symbols":["sqlalchemy.engine.CursorResult"]},"contractCommand":["python","test/contract.py"],"environment":{"arch":"x64","distro":"ubuntu","ecosystem":"pypi","libc":"glibc","libcVersion":"2.39","os":"linux","osVersionBucket":"24","packageManager":"pip","schemaVersion":1},"license":"MIT-0","packages":["pkg:pypi/sqlalchemy@2.0.51"],"schemaVersion":1,"subject":"pkg:pypi/sqlalchemy@2.0.51","symbols":["sqlalchemy.engine.CursorResult"],"verifierAdapter":"python@1"}
pyproject.toml
[project]
name = "sample-sqlalchemy-cursorresult"
version = "0.1.0"
requires-python = ">=3.9"
dependencies = [
    "sqlalchemy==2.0.51",
    "typing-extensions==4.16.0",
]
requirements.txt
sqlalchemy==2.0.51
typing-extensions==4.16.0
sample.py
"""Demonstration of sqlalchemy.engine.CursorResult operations and result processing in SQLAlchemy 2.0."""

from typing import Any, Dict, List, Optional, Sequence, Tuple
import sqlalchemy as sa
from sqlalchemy.engine import Connection, CursorResult, Engine, Row, RowMapping


def create_schema(metadata: sa.MetaData) -> sa.Table:
    """Define a sample products table for database operations."""
    return sa.Table(
        "products",
        metadata,
        sa.Column("id", sa.Integer, primary_key=True, autoincrement=True),
        sa.Column("name", sa.String(50), nullable=False),
        sa.Column("price", sa.Integer, nullable=False),
    )


def execute_dml_statement(
    conn: Connection, stmt: Any, parameters: Optional[Any] = None
) -> CursorResult:
    """Execute a DML statement and return the resulting CursorResult."""
    return conn.execute(stmt, parameters)


def execute_query(conn: Connection, stmt: Any) -> CursorResult:
    """Execute a query statement and return the resulting CursorResult."""
    return conn.execute(stmt)


def fetch_all_tuples(result: CursorResult) -> List[Tuple[Any, ...]]:
    """Fetch all remaining rows from a CursorResult as tuples."""
    return [tuple(row) for row in result.fetchall()]


def fetch_mappings(result: CursorResult) -> Sequence[RowMapping]:
    """Return dict-like row mappings from a CursorResult."""
    return result.mappings().all()


def extract_scalars(result: CursorResult) -> Sequence[Any]:
    """Extract first-column scalar values from a CursorResult."""
    return result.scalars().all()
spec.json
{
  "schemaVersion": 1,
  "goal": "verify sqlalchemy.engine.CursorResult in pkg:pypi/sqlalchemy@2.0.51",
  "kind": "HOW",
  "packages": [
    "pkg:pypi/sqlalchemy@2.0.51"
  ],
  "symbols": [
    "sqlalchemy.engine.CursorResult"
  ]
}
test/contract.py
"""Contract verification tests for sqlalchemy.engine.CursorResult in SQLAlchemy 2.0."""

import os
import sys

# Ensure project root is on sys.path for local module imports
sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))

import sqlalchemy as sa
from sqlalchemy.engine import CursorResult
from sample import (
    create_schema,
    execute_dml_statement,
    execute_query,
    extract_scalars,
    fetch_all_tuples,
    fetch_mappings,
)


def test_cursor_result_execution_and_row_availability() -> None:
    """Assertion 1: CursorResult is returned by Connection.execute with returns_rows reflecting row availability."""
    engine = sa.create_engine("sqlite:///:memory:")
    meta = sa.MetaData()
    products = create_schema(meta)
    meta.create_all(engine)

    with engine.begin() as conn:
        ins_stmt = products.insert().values(name="Widget", price=100)
        res_dml = execute_dml_statement(conn, ins_stmt)
        assert isinstance(res_dml, CursorResult)
        assert not res_dml.returns_rows
        assert res_dml.rowcount == 1

        sel_stmt = sa.select(products.c.id, products.c.name)
        res_query = execute_query(conn, sel_stmt)
        assert isinstance(res_query, CursorResult)
        assert res_query.returns_rows
        assert not res_query.closed
        res_query.close()
        assert res_query.closed


def test_cursor_result_fetch_and_keys() -> None:
    """Assertion 2: CursorResult fetches rows via fetchone and fetchall while keys provides RMKeyView column names."""
    engine = sa.create_engine("sqlite:///:memory:")
    meta = sa.MetaData()
    products = create_schema(meta)
    meta.create_all(engine)

    with engine.begin() as conn:
        execute_dml_statement(
            conn,
            products.insert(),
            [
                {"name": "Item A", "price": 10},
                {"name": "Item B", "price": 20},
                {"name": "Item C", "price": 30},
            ],
        )

        stmt = sa.select(products.c.name, products.c.price).order_by(products.c.id)
        result = execute_query(conn, stmt)
        assert list(result.keys()) == ["name", "price"]

        row1 = result.fetchone()
        assert row1 is not None
        assert row1[0] == "Item A"
        assert row1.price == 10

        remaining = fetch_all_tuples(result)
        assert len(remaining) == 2
        assert remaining[0] == ("Item B", 20)
        assert remaining[1] == ("Item C", 30)

        assert result.fetchone() is None
        result.close()
        assert result.closed


def test_cursor_result_mappings() -> None:
    """Assertion 3: CursorResult mappings yields RowMapping objects enabling key-based column access."""
    engine = sa.create_engine("sqlite:///:memory:")
    meta = sa.MetaData()
    products = create_schema(meta)
    meta.create_all(engine)

    with engine.begin() as conn:
        execute_dml_statement(
            conn,
            products.insert(),
            [
                {"name": "Mouse", "price": 25},
                {"name": "Laptop", "price": 1200},
            ],
        )

        stmt = sa.select(products.c.name, products.c.price).order_by(products.c.price)
        result = execute_query(conn, stmt)
        mappings = fetch_mappings(result)
        assert len(mappings) == 2
        assert mappings[0]["name"] == "Mouse"
        assert mappings[0]["price"] == 25
        assert mappings[1]["name"] == "Laptop"
        assert mappings[1]["price"] == 1200


def test_cursor_result_scalar_methods() -> None:
    """Assertion 4: CursorResult scalar_one and scalars extract single scalar values from result columns."""
    engine = sa.create_engine("sqlite:///:memory:")
    meta = sa.MetaData()
    products = create_schema(meta)
    meta.create_all(engine)

    with engine.begin() as conn:
        execute_dml_statement(
            conn,
            products.insert(),
            [
                {"name": "Item 1", "price": 10},
                {"name": "Item 2", "price": 20},
            ],
        )

        count_stmt = sa.select(sa.func.count()).select_from(products)
        count_res = execute_query(conn, count_stmt)
        assert count_res.scalar_one() == 2

        names_stmt = sa.select(products.c.name).order_by(products.c.price)
        names_res = execute_query(conn, names_stmt)
        names = extract_scalars(names_res)
        assert list(names) == ["Item 1", "Item 2"]


def test_cursor_result_rowcount_and_inserted_primary_key() -> None:
    """Assertion 5: CursorResult rowcount reflects affected rows for DML operations and inserted_primary_key returns inserted keys."""
    engine = sa.create_engine("sqlite:///:memory:")
    meta = sa.MetaData()
    products = create_schema(meta)
    meta.create_all(engine)

    with engine.begin() as conn:
        ins_single = execute_dml_statement(
            conn, products.insert().values(name="Keyboard", price=80)
        )
        assert ins_single.inserted_primary_key == (1,)
        assert ins_single.rowcount == 1

        ins_batch = execute_dml_statement(
            conn,
            products.insert(),
            [
                {"name": "Monitor", "price": 250},
                {"name": "Cable", "price": 15},
            ],
        )
        assert ins_batch.rowcount == 2

        upd = execute_dml_statement(
            conn,
            products.update().where(products.c.price < 50).values(price=50),
        )
        assert upd.rowcount == 1

        dele = execute_dml_statement(
            conn,
            products.delete().where(products.c.name == "Keyboard"),
        )
        assert dele.rowcount == 1


def main() -> None:
    test_cursor_result_execution_and_row_availability()
    test_cursor_result_fetch_and_keys()
    test_cursor_result_mappings()
    test_cursor_result_scalar_methods()
    test_cursor_result_rowcount_and_inserted_primary_key()
    print("All contract assertions passed.")


if __name__ == "__main__":
    main()
uv.lock
version = 1
revision = 3
requires-python = ">=3.9"
resolution-markers = [
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]

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аноним