记录Python低代码开发框架zdppy_amcrud的开发过程

实现新增接口

基础代码

python 复制代码
import env
import mcrud
import api
import snowflake

env.load(".env")
db = mcrud.new_env()

table = "user"
columns = ["name", "age"]


async def add_user(req):
    data = await api.req.get_json(req)
    values = [data.get(k) for k in columns]
    if "id" not in columns:
        columns.append("id")
        values.append(snowflake.idstr())
    db.add(table, columns, values)
    return api.resp.success(data)


app = api.Api(
    routes=[
        api.resp.post("/user/add", add_user)
    ],
    middleware=[api.middleware.cors()],
)

if __name__ == '__main__':
    app.run()

基本封装

python 复制代码
import env
import mcrud
import api
import amcrud

env.load(".env")
db = mcrud.new_env()

table = "user"
columns = ["name", "age"]

app = api.Api(
    routes=[
        api.resp.post("/user/add", amcrud.add(db, table, columns))
    ],
    middleware=[api.middleware.cors()],
)

if __name__ == '__main__':
    app.run()

测试

bash 复制代码
zhttp 127.0.0.1:8888/user/add name=zs age=23`

查询所有用户接口

基础代码

python 复制代码
import env
import mcrud
import api
import amcrud

env.load(".env")
db = mcrud.new_env()

table = "user"
columns = ["name", "age"]


async def get_all(req):
    if "id" not in columns:
        columns.append("id")
    data = db.get_all(table, columns)
    return api.resp.success(data)


app = api.Api(
    routes=[
        api.resp.post("/user", amcrud.add(db, table, columns)),
        api.resp.get("/user", get_all),
    ],
    middleware=[api.middleware.cors()],
)

if __name__ == '__main__':
    app.run()

基本封装

python 复制代码
import env
import mcrud
import api
import amcrud

env.load(".env")
db = mcrud.new_env()

table = "user"
columns = ["name", "age"]

app = api.Api(
    routes=[
        api.resp.post("/user", amcrud.add(db, table, columns)),
        api.resp.get("/user", amcrud.get_all(db, table, columns)),
    ],
    middleware=[api.middleware.cors()],
)

if __name__ == '__main__':
    app.run()

测试

bash 复制代码
zhttp 127.0.0.1:8888/user

根据ID查询接口

基础代码

python 复制代码
import env
import mcrud
import api
import amcrud

env.load(".env")
db = mcrud.new_env()

table = "user"
columns = ["name", "age"]


async def get(req):
    _id = api.req.get_path(req, "id")
    data = db.get_by_id(table, _id)
    return api.resp.success(data)


app = api.Api(
    routes=[
        api.resp.post("/user", amcrud.add(db, table, columns)),
        api.resp.get("/user", amcrud.get_all(db, table, columns)),
        api.resp.get("/user/{id}", get),
    ],
    middleware=[api.middleware.cors()],
)

if __name__ == '__main__':
    app.run()

基本封装

python 复制代码
import env
import mcrud
import api
import amcrud

env.load(".env")
db = mcrud.new_env()

table = "user"
columns = ["name", "age"]

app = api.Api(
    routes=[
        api.resp.post("/user", amcrud.add(db, table, columns)),
        api.resp.get("/user", amcrud.get_all(db, table, columns)),
        api.resp.get("/user/{id}", amcrud.get(db, table, columns)),
    ],
    middleware=[api.middleware.cors()],
)

if __name__ == '__main__':
    app.run()

测试

bash 复制代码
zhttp 127.0.0.1:8888/user/1793956346500816896

根据ID修改接口

基础代码

python 复制代码
import env
import mcrud
import api
import amcrud

env.load(".env")
db = mcrud.new_env()

table = "user"
columns = ["name", "age"]


async def update(req):
    _id = api.req.get_path(req, "id")
    data = await api.req.get_json(req)
    new_columns = []
    values = []
    for k, v in data.items():
        if k in columns:
            new_columns.append(k)
            values.append(v)
    db.update(table, _id, new_columns, values)
    return api.resp.success()


app = api.Api(
    routes=[
        api.resp.post("/user", amcrud.add(db, table, columns)),
        api.resp.get("/user", amcrud.get_all(db, table, columns)),
        api.resp.get("/user/{id}", amcrud.get(db, table, columns)),
        api.resp.put("/user/{id}", update),
    ],
    middleware=[api.middleware.cors()],
)

if __name__ == '__main__':
    app.run()

基本封装

python 复制代码
import env
import mcrud
import api
import amcrud

env.load(".env")
db = mcrud.new_env()

table = "user"
columns = ["name", "age"]

app = api.Api(
    routes=[
        api.resp.post("/user", amcrud.add(db, table, columns)),
        api.resp.get("/user", amcrud.get_all(db, table, columns)),
        api.resp.get("/user/{id}", amcrud.get(db, table, columns)),
        api.resp.put("/user/{id}", amcrud.update(db, table, columns)),
    ],
    middleware=[api.middleware.cors()],
)

if __name__ == '__main__':
    app.run()

测试

bash 复制代码
zhttp PUT 127.0.0.1:8888/user/1793956346500816896 name=zss age=33
zhttp 127.0.0.1:8888/user/1793956346500816896

根据ID删除接口

基础代码

python 复制代码
import env
import mcrud
import api
import amcrud

env.load(".env")
db = mcrud.new_env()

table = "user"
columns = ["name", "age"]


async def delete_route(req):
    _id = api.req.get_path(req, "id")
    db.delete(table, _id)
    return api.resp.success()


app = api.Api(
    routes=[
        api.resp.post("/user", amcrud.add(db, table, columns)),
        api.resp.get("/user", amcrud.get_all(db, table, columns)),
        api.resp.get("/user/{id}", amcrud.get(db, table, columns)),
        api.resp.put("/user/{id}", amcrud.update(db, table, columns)),
        api.resp.delete("/user/{id}", delete_route),
    ],
    middleware=[api.middleware.cors()],
)

if __name__ == '__main__':
    app.run()

基本封装

python 复制代码
import env
import mcrud
import api
import amcrud

env.load(".env")
db = mcrud.new_env()

table = "user"
columns = ["name", "age"]

app = api.Api(
    routes=[
        api.resp.post("/user", amcrud.add(db, table, columns)),
        api.resp.get("/user", amcrud.get_all(db, table, columns)),
        api.resp.get("/user/{id}", amcrud.get(db, table, columns)),
        api.resp.put("/user/{id}", amcrud.update(db, table, columns)),
        api.resp.delete("/user/{id}", amcrud.delete(db, table)),
    ],
    middleware=[api.middleware.cors()],
)

if __name__ == '__main__':
    app.run()

测试

bash 复制代码
zhttp DELETE 127.0.0.1:8888/user/1793956346500816896
zhttp 127.0.0.1:8888/user
相关推荐
蒋星熠几秒前
常见反爬策略与破解反爬方法:爬虫工程师的攻防实战指南
开发语言·人工智能·爬虫·python·网络安全·网络爬虫
飞梦工作室13 分钟前
突破 pandas 瓶颈:实时读写 Excel 与超透视汇总函数的双维解决方案
python·excel·pandas
二川bro44 分钟前
2025年Python机器学习全栈指南:从基础到AI项目部署
人工智能·python·机器学习
Learn Beyond Limits1 小时前
Correlation vs Cosine vs Euclidean Distance|相关性vs余弦相似度vs欧氏距离
人工智能·python·神经网络·机器学习·ai·数据挖掘
专注于大数据技术栈1 小时前
java学习--==和equals
java·python·学习
skyhh1 小时前
Android Studio 最新版汉化
android·ide·android studio
路人甲ing..2 小时前
Android Studio 快速的制作一个可以在 手机上跑的app
android·java·linux·智能手机·android studio
testtraveler2 小时前
[Fix] ImportError: libtorch_cpu.so: undefined symbol: iJIT_NotifyEvent
pytorch·python·bug
lang201509283 小时前
Kafka延迟操作机制深度解析
分布式·python·kafka
测试老哥3 小时前
软件测试:测试用例的设计
自动化测试·软件测试·python·功能测试·测试工具·职场和发展·测试用例