fillmydb 0.1.0

安装

• pip install fillmydb[peewee]如果您计划将其与peewee型号一起使用
• pip install fillmydb[django]如果您计划将其用于djanog型号（尚未实现）
• pip install fillmydb[sqlalchemy]如果您计划将其用于sqlalchemy模型（尚未实现）

与fake-factory

为单个模型生成实例：

import faker

factory = faker.Factory.create()

wrapper = ModelWrapper(TestModel)

wrapper[TestModel].client_name = FieldSpec(factory.name)
wrapper[TestModel].description = FieldSpec(factory.text)
wrapper[TestModel].password_hash = FieldSpec(factory.binary, length=25)
wrapper[TestModel].email = FieldSpec(factory.email)
wrapper[TestModel].visits = FieldSpec(factory.pyint)

item = wrapper.generate(100)

为多个模型生成实例：

from tests.models import User, Post, Like
import faker

factory = faker.Factory.create()

wrapper = ModelWrapper(User, Like, Post)

wrapper[User].name = FieldSpec(factory.name)
wrapper[User].username = FieldSpec(factory.user_name)
wrapper[User].description = FieldSpec(factory.text)
wrapper[User].password_hash = FieldSpec(factory.binary, length=25)
wrapper[User].email = FieldSpec(factory.email)
wrapper[User].visits = FieldSpec(factory.pyint)

wrapper[Post].title = FieldSpec(lambda _: "test", 1)
wrapper[Post].text = FieldSpec(factory.text)

# generating 10 users, 100 likes and 20 posts
wrapper.generate(10, 100, 20)

一般工作流程

伪代码：

initial_to_order_queue()
while models_to_process():
    model = get_next_model()

    if model.has_unresolved_dependency():
        push_back_to_queue(model)

    # process model
    for _ in range(number_of_instances):
        for field in model.fields():
            # resolve_field(field)
            if field == ForeignKey:
                field = get_random_ref_model_instance()
            else:
                field = resolve_normal()
    mark_as_processed(model)