Ejemplo

sqlalchemy 2.0.51: dialects.sqlite

Muestra verificada para pypi sqlalchemy 2.0.51: dialects.sqlite. El contrato se ejecutó en python 3.12 · linux debian/x64 · docker y pasó.

sha256:df827d71b6457836dc4e99651e8873baa4c6ee5cf901ead67b621530cd8780eb

MIT-0

Evidencia de ejecución

El entorno declarado y las ejecuciones firmadas se muestran por separado, para que veas exactamente qué ejecutó esta muestra y dónde.

Base de evidencia: Contrato firmado aprobado
Recibos de verificación: 1
Claves de firma que lo compilaron: 1

Entorno declarado linux 24 · ubuntu · glibc 2.39 x64 pip

Entornos de las ejecuciones de verificación

Entorno	Contrato	Etapas	Ejecución
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…	2026-09-07

Caso

HOW

Objetivo: verify sqlalchemy.dialects.sqlite in pkg:pypi/sqlalchemy@2.0.51
Paquetes: sqlalchemy 2.0.51
Símbolos: sqlalchemy.dialects.sqlite
Creado: 2026-09-07T01:01:11Z

Contrato

sqlite.dialect provides dialect inspection and capability flags including table alter and rowcount support.
sqlite.insert constructs dialect-specific Insert statements supporting on_conflict_do_nothing on unique index targets.
sqlite.insert supports on_conflict_do_update with the excluded namespace and update column mappings.
sqlite.insert supports the returning clause to return newly inserted or updated column values from SQLite.
sqlite.JSON column type stores structured JSON documents and supports nested key access and value extraction.
sqlite.DATETIME column type stores and retrieves datetime objects accurately preserving timestamp values.

Archivos

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

Descargar el artefacto de código fuente (tar.gz)

Código fuente

NOTES.md

# sqlalchemy.dialects.sqlite API

This sample pins `sqlalchemy` 2.0.51 and verifies `sqlalchemy.dialects.sqlite` dialect-specific capabilities and SQLite UPSERT statements.

The contract verifies:
- sqlite.dialect provides dialect inspection and capability flags including table alter and rowcount support.
- sqlite.insert constructs dialect-specific Insert statements supporting on_conflict_do_nothing on unique index targets.
- sqlite.insert supports on_conflict_do_update with the excluded namespace and update column mappings.
- sqlite.insert supports the returning clause to return newly inserted or updated column values from SQLite.
- sqlite.JSON column type stores structured JSON documents and supports nested key access and value extraction.
- sqlite.DATETIME column type stores and retrieves datetime objects accurately preserving timestamp values.

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.dialects.sqlite 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.dialects.sqlite

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:dfb261b08dec517431b614c2bb4a812f7bead1abedcf9bbc1f757575bf12740f","contract":["sqlite.dialect provides dialect inspection and capability flags including table alter and rowcount support.","sqlite.insert constructs dialect-specific Insert statements supporting on_conflict_do_nothing on unique index targets.","sqlite.insert supports on_conflict_do_update with the excluded namespace and update column mappings.","sqlite.insert supports the returning clause to return newly inserted or updated column values from SQLite.","sqlite.JSON column type stores structured JSON documents and supports nested key access and value extraction.","sqlite.DATETIME column type stores and retrieves datetime objects accurately preserving timestamp values."],"goal":"verify sqlalchemy.dialects.sqlite in pkg:pypi/sqlalchemy@2.0.51","kind":"HOW","packages":["pkg:pypi/sqlalchemy@2.0.51"],"schemaVersion":1,"symbols":["sqlalchemy.dialects.sqlite"]},"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.dialects.sqlite"],"verifierAdapter":"python@1"}

pyproject.toml

[project]
name = "verify-sqlalchemy-dialects-sqlite"
version = "0.1.0"
requires-python = ">=3.12"
dependencies = [
    "sqlalchemy==2.0.51",
]

requirements.txt

sqlalchemy==2.0.51

sample.py

"""Sample demonstrating SQLite dialect specific features in SQLAlchemy 2.0."""

import datetime
from typing import Any, Dict, Optional, Tuple

from sqlalchemy import Column, Integer, MetaData, String, Table, select
from sqlalchemy.dialects.sqlite import (
    DATETIME,
    JSON,
    dialect as sqlite_dialect,
    insert,
)
from sqlalchemy.engine import Engine


def define_users_table(metadata: MetaData) -> Table:
    """Define a Table utilizing SQLite-specific JSON and DATETIME column types."""
    return Table(
        "users",
        metadata,
        Column("id", Integer, primary_key=True, autoincrement=True),
        Column("username", String(50), unique=True, nullable=False),
        Column("score", Integer, default=0, nullable=False),
        Column("data", JSON, nullable=True),
        Column("created_at", DATETIME, nullable=False),
    )


def insert_on_conflict_do_nothing(
    engine: Engine,
    table: Table,
    username: str,
    score: int,
    data: Optional[Dict[str, Any]],
    created_at: datetime.datetime,
) -> int:
    """Insert a row using SQLite dialect insert with on_conflict_do_nothing."""
    stmt = (
        insert(table)
        .values(username=username, score=score, data=data, created_at=created_at)
        .on_conflict_do_nothing(index_elements=["username"])
    )
    with engine.begin() as conn:
        result = conn.execute(stmt)
        return result.rowcount


def insert_on_conflict_do_update(
    engine: Engine,
    table: Table,
    username: str,
    score: int,
    data: Optional[Dict[str, Any]],
    created_at: datetime.datetime,
) -> int:
    """Insert or update a row using SQLite dialect insert with on_conflict_do_update."""
    stmt = insert(table).values(
        username=username, score=score, data=data, created_at=created_at
    )
    stmt = stmt.on_conflict_do_update(
        index_elements=["username"],
        set_={"score": stmt.excluded.score, "data": stmt.excluded.data},
    )
    with engine.begin() as conn:
        result = conn.execute(stmt)
        return result.rowcount


def insert_with_returning(
    engine: Engine,
    table: Table,
    username: str,
    score: int,
    data: Optional[Dict[str, Any]],
    created_at: datetime.datetime,
) -> Tuple[int, str, int]:
    """Insert a row using SQLite dialect insert with returning clause."""
    stmt = (
        insert(table)
        .values(username=username, score=score, data=data, created_at=created_at)
        .returning(table.c.id, table.c.username, table.c.score)
    )
    with engine.begin() as conn:
        row = conn.execute(stmt).fetchone()
        assert row is not None
        return (row[0], row[1], row[2])


def select_json_nested_field(
    engine: Engine, table: Table, username: str, key: str
) -> Any:
    """Extract a nested JSON field from a SQLite JSON column."""
    stmt = select(table.c.data[key]).where(table.c.username == username)
    with engine.connect() as conn:
        return conn.execute(stmt).scalar()


def get_sqlite_dialect_properties() -> Dict[str, Any]:
    """Inspect SQLite dialect metadata and capability properties."""
    dia = sqlite_dialect()
    return {
        "name": dia.name,
        "supports_alter": dia.supports_alter,
        "supports_sane_rowcount": dia.supports_sane_rowcount,
    }

spec.json

{
  "schemaVersion": 1,
  "goal": "verify sqlalchemy.dialects.sqlite in pkg:pypi/sqlalchemy@2.0.51",
  "kind": "HOW",
  "packages": [
    "pkg:pypi/sqlalchemy@2.0.51"
  ],
  "symbols": [
    "sqlalchemy.dialects.sqlite"
  ]
}

test/contract.py

"""Contract verification test for sqlalchemy.dialects.sqlite in SQLAlchemy 2.0."""

import datetime
import os
import sys

# Ensure sample directory is on sys.path
sys.path.insert(0, os.path.dirname(os.path.dirname(os.path.abspath(__file__))))

from sqlalchemy import MetaData, create_engine, select
from sample import (
    define_users_table,
    get_sqlite_dialect_properties,
    insert_on_conflict_do_nothing,
    insert_on_conflict_do_update,
    insert_with_returning,
    select_json_nested_field,
)


def test_sqlite_dialect_properties() -> None:
    """Assertion 1: sqlite.dialect provides dialect inspection and capability flags."""
    props = get_sqlite_dialect_properties()
    assert props["name"] == "sqlite"
    assert props["supports_alter"] is False
    assert props["supports_sane_rowcount"] is True


def test_insert_on_conflict_do_nothing() -> None:
    """Assertion 2: sqlite.insert constructs Insert supporting on_conflict_do_nothing on unique index."""
    engine = create_engine("sqlite:///:memory:")
    metadata = MetaData()
    users = define_users_table(metadata)
    metadata.create_all(engine)

    ts = datetime.datetime(2026, 1, 1, 10, 0, 0)
    # First insert creates row
    rc1 = insert_on_conflict_do_nothing(
        engine, users, "alice", 100, {"role": "admin"}, ts
    )
    assert rc1 == 1

    # Conflicting insert does nothing
    rc2 = insert_on_conflict_do_nothing(
        engine, users, "alice", 200, {"role": "user"}, ts
    )
    assert rc2 == 0

    with engine.connect() as conn:
        row = conn.execute(
            select(users.c.score, users.c.data).where(users.c.username == "alice")
        ).one()
        assert row.score == 100
        assert row.data == {"role": "admin"}


def test_insert_on_conflict_do_update() -> None:
    """Assertion 3: sqlite.insert supports on_conflict_do_update with the excluded namespace."""
    engine = create_engine("sqlite:///:memory:")
    metadata = MetaData()
    users = define_users_table(metadata)
    metadata.create_all(engine)

    ts1 = datetime.datetime(2026, 1, 1, 10, 0, 0)
    insert_on_conflict_do_nothing(engine, users, "alice", 100, {"role": "admin"}, ts1)

    # Upsert updates existing row
    ts2 = datetime.datetime(2026, 1, 2, 10, 0, 0)
    rc = insert_on_conflict_do_update(
        engine, users, "alice", 250, {"role": "superadmin"}, ts2
    )
    assert rc == 1

    with engine.connect() as conn:
        row = conn.execute(
            select(users.c.score, users.c.data).where(users.c.username == "alice")
        ).one()
        assert row.score == 250
        assert row.data == {"role": "superadmin"}


def test_insert_with_returning() -> None:
    """Assertion 4: sqlite.insert supports returning clause to return column values upon execution."""
    engine = create_engine("sqlite:///:memory:")
    metadata = MetaData()
    users = define_users_table(metadata)
    metadata.create_all(engine)

    ts = datetime.datetime(2026, 1, 3, 12, 0, 0)
    result = insert_with_returning(engine, users, "bob", 50, {"tier": 1}, ts)
    assert result == (1, "bob", 50)

    with engine.connect() as conn:
        row = conn.execute(
            select(users.c.id, users.c.username, users.c.score).where(
                users.c.username == "bob"
            )
        ).one()
        assert (row.id, row.username, row.score) == (1, "bob", 50)


def test_json_column_and_nested_access() -> None:
    """Assertion 5: sqlite.JSON column type stores structured data and supports nested key extraction."""
    engine = create_engine("sqlite:///:memory:")
    metadata = MetaData()
    users = define_users_table(metadata)
    metadata.create_all(engine)

    ts = datetime.datetime(2026, 1, 4, 15, 0, 0)
    insert_on_conflict_do_nothing(
        engine, users, "charlie", 80, {"settings": {"theme": "dark"}}, ts
    )

    theme_val = select_json_nested_field(engine, users, "charlie", "settings")
    assert theme_val == {"theme": "dark"}


def test_datetime_column_preservation() -> None:
    """Assertion 6: sqlite.DATETIME column type stores and retrieves datetime timestamps accurately."""
    engine = create_engine("sqlite:///:memory:")
    metadata = MetaData()
    users = define_users_table(metadata)
    metadata.create_all(engine)

    ts = datetime.datetime(2026, 5, 20, 8, 30, 45)
    insert_on_conflict_do_nothing(engine, users, "david", 90, None, ts)

    with engine.connect() as conn:
        stored_ts = conn.execute(
            select(users.c.created_at).where(users.c.username == "david")
        ).scalar()
        assert stored_ts == ts


def main() -> None:
    test_sqlite_dialect_properties()
    test_insert_on_conflict_do_nothing()
    test_insert_on_conflict_do_update()
    test_insert_with_returning()
    test_json_column_and_nested_access()
    test_datetime_column_preservation()
    print("CONTRACT PASS: sqlalchemy.dialects.sqlite verified offline")


if __name__ == "__main__":
    main()

uv.lock

version = 1
revision = 3
requires-python = ">=3.12"

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Seeder de origen

anónimo