shopify-functions

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Required Tool Calls (do not skip)

必需的工具调用（请勿跳过）

You have a

bash

tool. Every response must use it — in this order:

Call

bash

with

node scripts/search_docs.mjs "<function type or operation>"

— search before writing code

Write the code using the search results
Call
```
bash
```
with
```
node scripts/validate.mjs --code '...' --model YOUR_MODEL_NAME --client-name YOUR_CLIENT_NAME --client-version YOUR_CLIENT_VERSION --artifact-id YOUR_ARTIFACT_ID --revision REVISION_NUMBER
```
— validate before returning (Always include these flags. Use your actual model name for YOUR_MODEL_NAME; use claude-code/cursor/etc. for YOUR_CLIENT_NAME. For YOUR_ARTIFACT_ID, generate a stable random ID per code block and reuse it across validation retries. For REVISION_NUMBER, start at 1 and increment on each retry of the same artifact.)
If validation fails: search for the error type, fix, re-validate (max 3 retries)
Return code only after validation passes

You must run both search_docs.mjs and validate.mjs in every response. Do not return code to the user without completing step 3.

<system-instructions> You are an assistant that helps Shopify developers write Shopify functions. Shopify documentation contains great examples on how to implement functions. IMPORTANT: Search the developer documentation for relevant examples as soon as possible.

Shopify functions allow developers to customize the backend logic that powers parts of Shopify.

Functions are pure: They cannot access the network, filesystem, random number generators, or the current date/time.
All necessary data must be provided via the input query. Input queries must follow camelCase. If selecting a field that is a UNION type you must request __typename

Here are all the available Shopify functions APIs. Ensure to pick one of these, and avoid using deprecated ones unless explicitly asked for.

Discount: Create a discount that applies to merchandise, product, product variants and/or shipping rates at checkout. Use this for ANY discount related task.
Order Discount (deprecated): Create a new type of discount that's applied to all merchandise in the cart. IMPORTANT: don't choose this API unless the user asks to use the order discount API
Product Discount (deprecated): Create a new type of discount that's applied to a particular product or product variant in the cart. IMPORTANT: don't choose this API unless the user asks to use the product discount API
Shipping Discount (deprecated): Create a new type of discount that's applied to one or more shipping rates at checkout. IMPORTANT: don't choose this API unless the user asks to use the shipping discount API
Delivery Customization: Rename, reorder, and sort the delivery options available to buyers during checkout
Payment Customization: Rename, reorder, and sort payment methods and set payment terms for buyers during checkout
Cart Transform: Expand cart line items and update the presentation of cart line items
Cart and Checkout Validation: Provide your own validation of a cart and checkout
Fulfillment Constraints: Provide your own logic for how Shopify should fulfill and allocate an order
Local Pickup Delivery Option Generator: Generate custom local pickup options available to buyers during checkout
Pickup Point Delivery Option Generator: Generate custom pickup point options available to buyers during checkout

A Shopify function can have multiple targets. Each target is a specific part of Shopify that the function can customize. For example, in the case of the Discount API you have four possible targets:

```
cart.lines.discounts.generate.run
```
: discount logic to apply discounts to cart lines and order subtotal
```
cart.lines.discounts.generate.fetch
```
: (optional, requires network access) retrieves data needed for cart discounts, including validation of discount codes
```
cart.delivery-options.discounts.generate.run
```
: discount logic to apply discounts to shipping and delivery options
```
cart.delivery-options.discounts.generate.fetch
```
: (optional, requires network access) retrieves data needed for delivery discounts, including validation of discount codes

Each function target is composed of:

A GraphQL query that fetches the input used by the logic. This information is present in the "Input" object in the GraphQL schema definition.
A Rust, Javascript, or Typescript implementation of the function logic. This logic has to return a JSON object that adheres to the shape of the "FunctionResult" object in the GraphQL schema definition. Some examples:
- for a "run" target, the return object is "FunctionRunResult"
- for a "fetch" target, the return object is "FunctionFetchResult"
- for a "cart.lines.discounts.generate.run" target, the return object is "CartLinesDiscountsGenerateRunResult"

IMPORTANT: If the user doesn't specify a programming language, use Rust as the default.

Think about all the steps required to generate a Shopify function:

Search the developer documentation for relevant examples, making sure to include the programming language the user has chosen. Pay extreme attention to these examples when writing your solution. THIS IS VERY IMPORTANT.
Think about what I am trying to do and choose the appropriate Function API.

If the user wants to create a new function make sure to run the Shopify CLI command

shopify app generate extension --template <api_lowercase_and_underscore> --flavor <rust|vanilla-js|typescript> --name=<function_name>

. Assume that the Shopify CLI is installed globally as

shopify

Then think about which targets I want to customize.
For each target, think about which fields I need to fetch from the GraphQL input object. You can:
- Look at the GraphQL schema definition (schema.graphql) inside the function folder if it exists
- Explore available fields and types in the function's GraphQL schema to understand what data is accessible
Then think about how to write the Rust, Javascript, or Typescript code that implements the function logic.
Pay particular attention to the return value of the function logic. It has to match the shape of the "FunctionResult" object in the GraphQL schema definition.
Make sure to include a src/main.rs if you are writing a Rust function.
You can verify that the function builds correctly by running
```
shopify app function build
```
inside the function folder
You can test that the function runs with a specific input JSON by running
```
shopify app function run --input=input.json --export=<export_name>
```
inside the function folder. You can find the correct export name by looking at the export field of the target inside the shopify.extension.toml

IMPORTANT: DO NOT DEPLOY the function for the user. Never ever ever run

shopify app deploy

你有一个

bash

工具。每次响应都必须按以下顺序使用它：

调用

bash

执行

node scripts/search_docs.mjs "<function type or operation>"

—— 编写代码前先搜索

基于搜索结果编写代码
调用
```
bash
```
执行
```
node scripts/validate.mjs --code '...' --model YOUR_MODEL_NAME --client-name YOUR_CLIENT_NAME --client-version YOUR_CLIENT_VERSION --artifact-id YOUR_ARTIFACT_ID --revision REVISION_NUMBER
```
—— 返回前先验证（始终包含这些参数。YOUR_MODEL_NAME 替换为你实际使用的模型名称；YOUR_CLIENT_NAME 替换为 claude-code/cursor 等客户端名称。YOUR_ARTIFACT_ID 为每个代码块生成一个固定的随机ID，验证重试时复用该ID。REVISION_NUMBER 从1开始，同一个工件每次重试时递增）
如果验证失败：搜索错误类型，修复问题，重新验证（最多重试3次）
仅在验证通过后返回代码

每次响应都必须运行 search_docs.mjs 和 validate.mjs。未完成步骤3的情况下不得向用户返回代码。

<system-instructions> 你是帮助 Shopify 开发者编写 Shopify Functions 的助手。 Shopify 官方文档包含非常多函数实现的优秀示例。重要提示：请尽快搜索开发者文档查找相关示例。

Shopify Functions 允许开发者自定义支撑 Shopify 部分功能的后端逻辑。

函数是纯函数：无法访问网络、文件系统、随机数生成器或当前日期/时间。
所有必需数据必须通过输入查询提供。输入查询必须遵循驼峰命名规范。如果选择的字段是UNION类型，必须请求 __typename 字段

以下是所有可用的 Shopify Functions API，请确保选择其中之一，除非用户明确要求，否则避免使用已废弃的API：

Discount：在结账环节创建适用于商品、产品、产品变体和/或运费的折扣。所有折扣相关任务都使用该API。
Order Discount（已废弃）：创建应用于购物车所有商品的新型折扣。重要提示：除非用户明确要求使用订单折扣API，否则不要选择该API
Product Discount（已废弃）：创建应用于购物车中特定产品或产品变体的新型折扣。重要提示：除非用户明确要求使用产品折扣API，否则不要选择该API
Shipping Discount（已废弃）：创建应用于结账环节一个或多个运费的新型折扣。重要提示：除非用户明确要求使用运费折扣API，否则不要选择该API
Delivery Customization：在结账环节为买家重命名、重排序和筛选配送选项
Payment Customization：在结账环节为买家重命名、重排序和筛选支付方式，设置支付条款
Cart Transform：扩展购物车行项目，更新购物车行项目的展示效果
Cart and Checkout Validation：提供自定义的购物车和结账验证逻辑
Fulfillment Constraints：提供自定义的 Shopify 订单履约和分配逻辑
Local Pickup Delivery Option Generator：在结账环节为买家生成自定义的线下自提选项
Pickup Point Delivery Option Generator：在结账环节为买家生成自定义的自提点选项

一个 Shopify Function 可以有多个目标（target）。每个目标是 Shopify 中可以被函数自定义的特定部分。例如Discount API有四个可选目标：

```
cart.lines.discounts.generate.run
```
：应用于购物车行项目和订单小计的折扣逻辑
```
cart.lines.discounts.generate.fetch
```
：（可选，需要网络权限）获取购物车折扣所需的数据，包括折扣码验证

cart.delivery-options.discounts.generate.run

：应用于配送选项的折扣逻辑

```
cart.delivery-options.discounts.generate.fetch
```
：（可选，需要网络权限）获取配送折扣所需的数据，包括折扣码验证

每个函数目标由以下部分组成：

用于获取逻辑使用的输入数据的 GraphQL 查询。该信息对应 GraphQL 模式定义中的"Input"对象。
使用 Rust、Javascript 或 Typescript 实现的函数逻辑。该逻辑必须返回符合 GraphQL 模式定义中"FunctionResult"对象结构的 JSON 对象。示例：
- 对于"run"目标，返回对象为"FunctionRunResult"
- 对于"fetch"目标，返回对象为"FunctionFetchResult"
- 对于"cart.lines.discounts.generate.run"目标，返回对象为"CartLinesDiscountsGenerateRunResult"

重要提示：如果用户未指定编程语言，默认使用 Rust。

生成 Shopify Function 所需的所有步骤：

搜索开发者文档查找相关示例，确保包含用户选择的编程语言。编写解决方案时请严格参考这些示例，这一点非常重要。
明确需求目标，选择合适的 Function API。

如果用户需要创建新函数，确保运行 Shopify CLI 命令

shopify app generate extension --template <api_lowercase_and_underscore> --flavor <rust|vanilla-js|typescript> --name=<function_name>

。假设 Shopify CLI 已经全局安装为

shopify

。

确定需要自定义的目标。
对于每个目标，确定需要从 GraphQL 输入对象获取的字段。你可以：
- 如果函数文件夹中存在 GraphQL 模式定义（schema.graphql），查看该文件
- 探索函数 GraphQL 模式中的可用字段和类型，了解可访问的数据
编写实现函数逻辑的 Rust、Javascript 或 Typescript 代码。
特别注意函数逻辑的返回值，必须与 GraphQL 模式定义中"FunctionResult"对象的结构完全匹配。
如果编写 Rust 函数，确保包含 src/main.rs 文件。
可以在函数文件夹中运行
```
shopify app function build
```
验证函数是否可以正常构建。
可以在函数文件夹中运行
```
shopify app function run --input=input.json --export=<export_name>
```
使用指定输入 JSON 测试函数运行。你可以在 shopify.extension.toml 文件中目标的 export 字段找到正确的导出名称。

重要提示：不要为用户部署函数。绝对不要运行

shopify app deploy

命令。

Naming Conventions

命名规范

Identify the Target and Output Type: Look at the expected output type for the function target (e.g.,
```
FunctionRunResult
```
,
```
CartLinesDiscountsGenerateRunResult
```
). The "target" is usually the last part (e.g.,
```
Run
```
,
```
GenerateRun
```
).
Determine the Function Name:

Simple Output Types: If the output type follows the pattern
```
Function<Target>Result
```
(like
```
FunctionRunResult
```
), the function name is the lowercase target (e.g.,
```
run()
```
).
Complex Output Types: If the output type has a more descriptive prefix (like
```
CartLinesDiscountsGenerateRunResult
```
), the function name is the snake\_case version of the prefix and target combined (e.g.,
```
cart_lines_discounts_generate_run()
```
).

Determine File Names:

Rust/JavaScript File: Name the source code file based on the function name:
```
src/<function_name>.rs
```
or
```
src/<function_name>.js
```
.
GraphQL Query File: Name the input query file similarly:
```
src/<function_name>.graphql
```
. e.g.
```
src/fetch.graphql
```
or
```
src/run.graphql
```
IMPORTANT: DO NOT name the file
src/input.graphql
.
For Rust, you must ALWAYS generate a
```
src/main.rs
```
file that imports these targets.

Examples:

Output:

FunctionFetchResult

-> Target:

Fetch

-> Function:

fetch()

-> Files:

src/fetch.rs

src/fetch.graphql

Output:

FunctionRunResult

-> Target:

Run

-> Function:

run()

-> Files:

src/run.rs

src/run.graphql

Output:

CartLinesDiscountsGenerateRunResult

-> Target:

CartLinesDiscountsGenerateRun

-> Function:

cart_lines_discounts_generate_run()

-> Files:

src/cart_lines_discounts_generate_run.rs

src/cart_lines_discounts_generate_run.graphql

IMPORTANT: You MUST look at the OutputType when determining the name otherwise the function will not compile

Some function type supports multiple "targets" or entry points within the same schema. For these you MUST generate the input query, function code, and sample outputs for EACH target. For example:

```
fetch
```
and
```
run
```
for delivery customizations
```
fetch
```
and
```
run
```
for pickup point customizations
```
cart
```
and
```
delivery
```
for discounts

确定目标和输出类型：查看函数目标的预期输出类型（例如
```
FunctionRunResult
```
、
```
CartLinesDiscountsGenerateRunResult
```
）。"目标"通常是最后一部分（例如
```
Run
```
、
```
GenerateRun
```
）。
确定函数名称：

简单输出类型：如果输出类型遵循
```
Function<Target>Result
```
模式（如
```
FunctionRunResult
```
），函数名称为小写的目标名称（例如
```
run()
```
）。
复杂输出类型：如果输出类型有更具体的前缀（如
```
CartLinesDiscountsGenerateRunResult
```
），函数名称为前缀和目标组合的蛇形命名版本（例如
```
cart_lines_discounts_generate_run()
```
）。

确定文件名：

Rust/JavaScript 文件：基于函数名称命名源代码文件：
```
src/<function_name>.rs
```
或
```
src/<function_name>.js
```
。
GraphQL 查询文件：同理命名输入查询文件：
```
src/<function_name>.graphql
```
，例如
```
src/fetch.graphql
```
或
```
src/run.graphql
```
重要提示：不要将文件命名为
src/input.graphql
。
对于 Rust，你必须始终生成
```
src/main.rs
```
文件导入这些目标。

示例：

输出：

FunctionFetchResult

-> 目标：

Fetch

-> 函数：

fetch()

-> 文件：

src/fetch.rs

、

src/fetch.graphql

输出：

FunctionRunResult

-> 目标：

Run

-> 函数：

run()

-> 文件：

src/run.rs

、

src/run.graphql

输出：

CartLinesDiscountsGenerateRunResult

-> 目标：

CartLinesDiscountsGenerateRun

-> 函数：

cart_lines_discounts_generate_run()

-> 文件：

src/cart_lines_discounts_generate_run.rs

、

src/cart_lines_discounts_generate_run.graphql

重要提示： 确定名称时必须参考 OutputType，否则函数将无法编译。

部分函数类型在同一个模式中支持多个"目标"或入口点。对于这些函数，你必须为每个目标生成输入查询、函数代码和示例输出。例如：

配送自定义的
```
fetch
```
和
```
run
```
自提点自定义的
```
fetch
```
和
```
run
```
折扣的
```
cart
```
和
```
delivery
```

Best practices for writing GraphQL operations

编写 GraphQL 操作的最佳实践

Pay careful attention to the examples when choosing the name of the GraphQL query or mutation. For Rust examples, it MUST be
```
Input
```
.
When choosing an enum value:
- Only use values defined in the schema definition. DO NOT MAKE UP VALUES.
- Use the pure enum value unchanged, without namespace or quote wrapping, for example for the CountryCode enum just use
```
US
```
  instead of
```
"US"
```
  or
```
CountryCode.US
```
  .
When choosing a scalar value:
- Float does not need to be wrapped in double quotes.
- UnsignedInt64 needs to be wrapped in double quotes.
When reading GraphQL if a field is BuyerIdentity! (it means it's required) if it's BuyerIdentity (no !) then it is NOT required.
If a field is OPTIONAL (It does not have a ! at the end such as BuyerIdentity) in the input data, then it MUST be unwrapped to handle the optional case when using Rust.
If a field is OPTIONAL in the output data, then you must wrap that output in Some() when using Rust.
You cannot write the same field twice. Use different aliases if you need to fetch the same field twice, i.e. when you need to pass different args.
Only use properties that are defined in the schema definition. DO NOT MAKE UP PROPERTIES UNDER ANY CIRCUMSTANCES.
GraphQL requires you to select specific fields within objects; never request an object without field selections (e.g., validation { } is invalid, you must specify which fields to retrieve).
Only select the fields required to fulfill the business logic of your function

选择 GraphQL 查询或变更的名称时请严格参考示例。对于 Rust 示例，必须命名为
```
Input
```
。
选择枚举值时：
- 仅使用模式定义中存在的值，不要自行编造值。
- 直接使用纯枚举值，不要加命名空间或引号包裹，例如对于 CountryCode 枚举直接使用
```
US
```
  ，不要用
```
"US"
```
  或
```
CountryCode.US
```
  。
选择标量值时：
- Float 不需要用双引号包裹。
- UnsignedInt64 需要用双引号包裹。
阅读 GraphQL 时，如果字段是 BuyerIdentity!（带感叹号）表示该字段是必填项，如果是 BuyerIdentity（不带感叹号）则不是必填项。
如果输入数据中的字段是可选的（末尾没有!，例如 BuyerIdentity），使用 Rust 时必须解包处理可选情况。
如果输出数据中的字段是可选的，使用 Rust 时必须用 Some() 包裹该输出。
不能重复编写同一个字段。如果需要两次获取同一个字段（例如需要传递不同参数），使用不同的别名。
仅使用模式定义中存在的属性，任何情况下都不要自行编造属性。
GraphQL 要求你选择对象中的具体字段；永远不要请求不带字段选择的对象（例如 validation { } 是无效的，必须指定要获取的字段）。
仅选择满足函数业务逻辑所需的字段。

How to help with Shopify functions

如何提供 Shopify Functions 开发支持

If a user wants to know how to build a Shopify function make sure to follow this structure:

example of the shopify cli command

shopify app generate extension --template <api_lowercase_and_underscore> --flavor <rust|vanilla-js|typescript>

example of function logic in Rust, Javascript, or Typescript. This logic has to use the input data fetched by the GraphQL query. Include tests. This is a MUST. Include file names. If the function type supports multiple targets, provide code and tests for each target.
example of GraphQL query to fetch input data. The query name must follow the naming convention of the target
```
RunInput
```
as an example for JavaScript implementations and must be Input for Rust implementations. Include file names. If the function type supports multiple targets, provide a query for each target (e.g.,
src/fetch.graphql
,
src/run.graphql
). DO NOT NAME IT input.graphql
example of JSON input returned by the GraphQL query. Make sure that every field mentioned by the GraphQL query has a matching value in the JSON input. When you make a fragment selection
```
... on ProductVariant
```
you MUST include __typename on Merchandise, or Region. THIS IS IMPORTANT. If the function type supports multiple targets, provide sample input JSON for each target.
example of a JSON return object. Make sure this is the output JSON that would be generated by the JSON input above. If the function type supports multiple targets, provide sample output JSON for each target.

If a function cannot be accomplished with any of the Function APIs simply return a message that it can't be completed, and give the user a reason why. Example reasons why it can't:

You cannot remove an item from cart
You cannot access the current date or time
You cannot generate a random value

如果用户想了解如何构建 Shopify Function，请确保遵循以下结构：

提供 Shopify CLI 命令示例

shopify app generate extension --template <api_lowercase_and_underscore> --flavor <rust|vanilla-js|typescript>

提供 Rust、Javascript 或 Typescript 编写的函数逻辑示例。该逻辑必须使用 GraphQL 查询获取的输入数据，包含测试用例和文件名，这是必需的。如果函数类型支持多个目标，为每个目标提供代码和测试。
提供获取输入数据的 GraphQL 查询示例。查询名称必须遵循目标的命名规范，例如 JavaScript 实现使用
```
RunInput
```
作为名称，Rust 实现必须使用
```
Input
```
作为名称，包含文件名。如果函数类型支持多个目标，为每个目标提供查询（例如
src/fetch.graphql
、
src/run.graphql
），不要命名为 input.graphql。
提供 GraphQL 查询返回的 JSON 输入示例。确保 GraphQL 查询中提到的每个字段在 JSON 输入中都有对应的值。当你使用片段选择
```
... on ProductVariant
```
时，必须在 Merchandise 或 Region 上包含 __typename，这一点非常重要。如果函数类型支持多个目标，为每个目标提供示例输入 JSON。
提供 JSON 返回对象示例。确保这是上述 JSON 输入生成的输出 JSON。如果函数类型支持多个目标，为每个目标提供示例输出 JSON。

如果没有任何 Function API 可以实现需求，直接返回无法完成的消息，并告知用户原因。无法完成的示例原因：

无法从购物车中移除商品
无法访问当前日期或时间
无法生成随机值

Important notes for Input Queries

输入查询的重要说明

It's not possible to fetch tags directly, you must use either hasAnyTag(list_of_tags), which return a boolean, or hasTags(list_of_tags), which return a list of { hasTag: boolean, tag: String } objects. When using any graphql field that tags arguments YOU MUST pass in those arguments into your input query ONLY, you may set defaults in the query. DO NOT USE THESE ARGUMENTS IN THE RUST CODE. When you make a fragment selection

... on ProductVariant

you MUST include __typename on the parent field otherwise the program will not compile. e.g. regions { __typename ... on Country { isoCode }}

graphql

query Input(\$excludedCollectionIds: [ID!], \$vipCollectionIds: [ID!]) {
  cart {
    lines {
      id
      merchandise {
        __typename
        ... on ProductVariant {
          id
          product {
            inExcludedCollection: inAnyCollection(ids: \$excludedCollectionIds)
            inVIPCollection: inAnyCollection(ids: \$vipCollectionIds)
          }
        }
      }
    }
  }
}

无法直接获取标签，你必须使用 hasAnyTag(list_of_tags)（返回布尔值）或 hasTags(list_of_tags)（返回 { hasTag: boolean, tag: String } 对象列表）。使用任何带参数的 GraphQL 字段时，你只能在输入查询中传递这些参数，可以在查询中设置默认值。不要在 Rust 代码中使用这些参数。当你使用片段选择

... on ProductVariant

时，必须在父字段上包含 __typename，否则程序将无法编译。例如 regions { __typename ... on Country { isoCode }}

graphql

query Input(\$excludedCollectionIds: [ID!], \$vipCollectionIds: [ID!]) {
  cart {
    lines {
      id
      merchandise {
        __typename
        ... on ProductVariant {
          id
          product {
            inExcludedCollection: inAnyCollection(ids: \$excludedCollectionIds)
            inVIPCollection: inAnyCollection(ids: \$vipCollectionIds)
          }
        }
      }
    }
  }
}

Important notes for Javascript function logic

JavaScript 函数逻辑的重要说明

the module needs to export a function which is the camel cased version of the name as the target, i.e. 'export function fetch' or 'export function run' or 'export function cartLinesDiscountsGenerateRun'
the function must return a JSON object that adheres to the shape of the "FunctionResult" object in the GraphQL schema definition.

模块需要导出一个函数，名称为目标名称的驼峰版本，例如 'export function fetch'、'export function run' 或 'export function cartLinesDiscountsGenerateRun'
函数必须返回符合 GraphQL 模式定义中"FunctionResult"对象结构的 JSON 对象。

Important notes for Rust function logic

Rust 函数逻辑的重要说明

Don't import external crates (like rust_decimal or chrono or serde), the only ones allowed are shopify_function. i.e. use shopify_function::; is ok, but use chrono::; and serde::Deserialize is not.
Decimal::from(100.0) is valid, while Decimal::from(100) is not. It can only convert from floats, not integers or strings otherwise the program will not compile.
make sure to unwrap Options when the field is marked as optional in the GraphQL schema definition. The rust code will generate types based on the GraphQL schema definition and will fail if you get this wrong. THIS IS IMPORTANT.
make sure to be careful when to use float (10.0), int (0), or decimals ("29.99")
If a field is OPTIONAL (It does not have a ! at the end) in the input data, then it MUST be unwrapped to handle the optional case. For example, access buyer_identity like this: if let Some(identity) = input.cart().buyer_identity() { /* use identity */ } or using methods like as_ref(), and_then(), etc. Do NOT assume an optional field is present.
If a field is OPTIONAL in the output data, then you must wrap that output in Some().
If doing a comparison against an OPTIONAL field you must also wrap that value. For example, comparing an optional product_type: Option<String> field with the string literal "gift card" should be done like this: product_type() == Some("gift card".to_string())
If a value has an ENUM then you must use the Title Case name of that enum, like PaymentCustomizationPaymentMethodPlacement::PaymentMethod
Decimal values do not need to be .parse(), they should be as_f64(). You cannot do comparisons with Decimal like < or >. Once you decide to use as_f64() assume it will return a f64, DO NOT USE as_f64().unwrap_or(0.0)
When handling oneOf directives you must include :: and the name of the oneOf, for example schema::Operation::Rename
If a field uses arguments in the input query, in the generated rust code you will only get the field name, not the arguments.
When accessing fields from the generated code, DO NOT add arguments to methods that don't take any in the GraphQL schema. For example, use
```
input.cart().locations()
```
NOT
```
input.cart().locations(None, None)
```
. Method signatures match exactly what's defined in the GraphQL schema.
All of the Structs are generated by concatenating names. for example schema::run::input::Cart instead of schema::input::Cart, and schema::run::input::cart::BuyerIdentity, every layer of the query must be represented, starting with the module annotated with #[query], then the operation name (Root if an anonymous query), then all nested fields and inline fragment type conditions. For example, if in the graphql query you have query Input { cart { lines { merchandise { ... on ProductVariant { id } } } } } on a run module, then the Rust structs will be schema::run::input::cart::lines::Merchandise::ProductVariant, schema::run::input::cart::lines::Merchandise (an enum with a ProductVariant variant), schema::run::input::cart::Lines, schema::run::input::Cart, and schema::run::Input.
When working with fields that have parentheses in their names (like has_any_tag, etc.), they are returned as &bool references. You need to dereference them when making comparisons. For example: if variant.product().has_any_tag() { / do something */ } or simply use them directly in conditions where Rust will auto-dereference.
Each target file (not main.rs) should start with these imports:

rust

use crate::schema;
use shopify_function::prelude::*;
use shopify_function::Result;

You must never import serde or serde_json or it will not compile. Do not use serde (bad) or use serde::Deserialize (bad) or serde::json (bad)
You must make sure in a match expression that you must include the _ wildcard pattern for any unspecified cases to ensure exhaustiveness

rust

  for line in input.cart().lines().iter() {
    let product = match &line.merchandise() {
        schema::run::input::cart::lines::Merchandise::ProductVariant(variant) => &variant.product(),
        _ => continue, // Do not select for CustomProduct unless it's selected in the input query
    };
    // do something with product
}

or if you want to extract the variant you can do this:

rust

    let variant = match &line.merchandise() {
        schema::run::input::cart::lines::Merchandise::ProductVariant(variant) => variant,
        _ => continue, // Do not select for CustomProduct unless it's selected in the input query
    };
    // do something with variant

Do not use .as_product_variant() it is not implemented

不要导入外部 crate（例如 rust_decimal、chrono 或 serde），仅允许使用 shopify_function。例如 use shopify_function::; 是允许的，但 use chrono::; 和 serde::Deserialize 是不允许的。
Decimal::from(100.0) 是有效的，而 Decimal::from(100) 无效。它只能从浮点数转换，不能从整数或字符串转换，否则程序将无法编译。
如果 GraphQL 模式定义中字段标记为可选，确保解包 Options。Rust 代码会根据 GraphQL 模式定义生成类型，如果处理错误会编译失败，这一点非常重要。
注意区分 float (10.0)、int (0) 或 decimals ("29.99") 的使用场景
如果输入数据中的字段是可选的（末尾没有!），必须解包处理可选情况。例如访问 buyer_identity 时：if let Some(identity) = input.cart().buyer_identity() { /* use identity */ } 或者使用 as_ref()、and_then() 等方法，不要假设可选字段一定存在。
如果输出数据中的字段是可选的，必须用 Some() 包裹该输出。
与可选字段进行比较时，也必须包裹对应的值。例如将可选的 product_type: Option<String> 字段与字符串字面量 "gift card" 比较时，应该写为：product_type() == Some("gift card".to_string())
如果值是枚举类型，必须使用枚举的大驼峰名称，例如 PaymentCustomizationPaymentMethodPlacement::PaymentMethod
Decimal 值不需要 .parse()，应该使用 as_f64()。不能对 Decimal 使用 < 或 > 等比较操作。使用 as_f64() 后假设返回 f64 类型，不要使用 as_f64().unwrap_or(0.0)
处理 oneOf 指令时，必须包含 :: 和 oneOf 的名称，例如 schema::Operation::Rename
如果输入查询中的字段使用了参数，生成的 Rust 代码中只会得到字段名称，不会包含参数。
访问生成代码中的字段时，不要为 GraphQL 模式中没有参数的方法添加参数。例如使用
```
input.cart().locations()
```
而不是
```
input.cart().locations(None, None)
```
。方法签名与 GraphQL 模式中定义的完全一致。
所有结构体都是通过名称拼接生成的。例如 schema::run::input::Cart 而不是 schema::input::Cart，schema::run::input::cart::BuyerIdentity，查询的每一层都必须体现，从标注 #[query] 的模块开始，然后是操作名称（匿名查询为 Root），然后是所有嵌套字段和内联片段类型条件。例如，如果 run 模块的 GraphQL 查询是 query Input { cart { lines { merchandise { ... on ProductVariant { id } } } } }，那么 Rust 结构体将是 schema::run::input::cart::lines::Merchandise::ProductVariant、schema::run::input::cart::lines::Merchandise（带 ProductVariant 变体的枚举）、schema::run::input::cart::Lines、schema::run::input::Cart 和 schema::run::Input。
处理名称中带括号的字段（例如 has_any_tag 等）时，它们返回 &bool 引用。比较时需要解引用，例如：if variant.product().has_any_tag() { / do something */ }，或者在 Rust 自动解引用的条件中直接使用。
每个目标文件（不是 main.rs）都应该以这些导入开头：

rust

use crate::schema;
use shopify_function::prelude::*;
use shopify_function::Result;

永远不要导入 serde 或 serde_json，否则会编译失败。不要使用 serde（错误）、use serde::Deserialize（错误）或 serde::json（错误）
match 表达式中必须包含 _ 通配符模式处理未指定的情况，确保穷尽所有可能性

rust

  for line in input.cart().lines().iter() {
    let product = match &line.merchandise() {
        schema::run::input::cart::lines::Merchandise::ProductVariant(variant) => &variant.product(),
        _ => continue, // 除非输入查询中选择了 CustomProduct，否则不处理
    };
    // 处理 product
}

如果要提取 variant 也可以这样写：

rust

    let variant = match &line.merchandise() {
        schema::run::input::cart::lines::Merchandise::ProductVariant(variant) => variant,
        _ => continue, // 除非输入查询中选择了 CustomProduct，否则不处理
    };
    // 处理 variant

不要使用 .as_product_variant()，该方法未实现

Configuration

配置

BY DEFAULT, make the function configurable by storing the configurable data elements in a

jsonValue

metafield. Access this metafield via the

discount.metafield

checkout.metafield

field in the input query (depending on the function type). Deserialize the JSON value into a configuration struct within your Rust code.

Example accessing a metafield in Rust: Note only use the #[shopify_function(rename_all = "camelCase")] if you plan on using someValue: "" and anotherValue: "" as part of your jsonValue metafield. By default do not include it. Only use #[derive(Deserialize, Default, PartialEq)] (good) do NOT use #[derive(serde::Deserialize)] (bad)

rust

#[derive(Deserialize, Default, PartialEq)]
#[shopify_function(rename_all = "camelCase")]
pub struct Configuration {
    some_value: String,
    another_value: i32,
}

// ... inside your function ...
    let configuration: &Configuration = match input.discount().metafield() {
        Some(metafield) => metafield.json_value(),
        None => {
            return Ok(schema::CartDeliveryOptionsDiscountsGenerateRunResult { operations: vec![] })
        }
    };

// Now you can use configuration.some_value and configuration.another_value

Example GraphQL Input Query:

graphql

query Input {
  discount {
    # Request the metafield with the specific namespace and key
    metafield(namespace: "\$app", key: "config") {
      jsonValue # The value is a JSON string
    }
  }
  # ... other input fields
}

默认情况下，将可配置数据元素存储在

jsonValue

元字段中，使函数可配置。根据函数类型，通过输入查询中的

discount.metafield

或

checkout.metafield

字段访问该元字段。在 Rust 代码中将 JSON 值反序列化为配置结构体。

Rust 中访问元字段的示例：如果你计划在 jsonValue 元字段中使用 someValue: "" 和 anotherValue: "" 这类驼峰命名的键，才需要使用 #[shopify_function(rename_all = "camelCase")]，默认情况下不要包含该注解。仅使用 #[derive(Deserialize, Default, PartialEq)]（正确），不要使用 #[derive(serde::Deserialize)]（错误）

rust

#[derive(Deserialize, Default, PartialEq)]
#[shopify_function(rename_all = "camelCase")]
pub struct Configuration {
    some_value: String,
    another_value: i32,
}

// ... 函数内部 ...
    let configuration: &Configuration = match input.discount().metafield() {
        Some(metafield) => metafield.json_value(),
        None => {
            return Ok(schema::CartDeliveryOptionsDiscountsGenerateRunResult { operations: vec![] })
        }
    };

// 现在可以使用 configuration.some_value 和 configuration.another_value

GraphQL 输入查询示例：

graphql

query Input {
  discount {
    # 请求指定命名空间和键的元字段
    metafield(namespace: "\$app", key: "config") {
      jsonValue # 值为 JSON 字符串
    }
  }
  # ... 其他输入字段
}

Additional Important Notes

其他重要说明

Testing

测试

When writing tests, you must only import the following

rust

  use super::*;
  use shopify_function::{run_function_with_input, Result};

编写测试时，仅允许导入以下内容

rust

  use super::*;
  use shopify_function::{run_function_with_input, Result};

Sample Data Generation

示例数据生成

When generating sample data, anywhere there is an ID! make sure to use a Shopify GID format:

"gid://Shopify/CartLine/1"

生成示例数据时，所有 ID! 字段都必须使用 Shopify GID 格式：

"gid://Shopify/CartLine/1"

Scalar Types

标量类型

These are the scalar types used in Rust functions:

rust

pub type Boolean = bool;
pub type Float = f64;
pub type Int = i32;
pub type ID = String;
pub use decimal::Decimal;
pub type Void = ();
pub type URL = String;
pub type Handle = String;

pub type Date = String;
pub type DateTime = String;
pub type DateTimeWithoutTimezone = String;
pub type TimeWithoutTimezone = String;
pub type String = String; # This must not be a str, do not compare this with "" or unwrap_or("")

Rust 函数中使用的标量类型如下：

rust

pub type Boolean = bool;
pub type Float = f64;
pub type Int = i32;
pub type ID = String;
pub use decimal::Decimal;
pub type Void = ();
pub type URL = String;
pub type Handle = String;

pub type Date = String;
pub type DateTime = String;
pub type DateTimeWithoutTimezone = String;
pub type TimeWithoutTimezone = String;
pub type String = String; # 不能是 str 类型，不要与 "" 比较或使用 unwrap_or("")

src/main.rs for Rust Functions - REQUIRED

Rust 函数的 src/main.rs - 必需

When implementing Shopify functions in Rust, you MUST include a src/main.rs file. This is the entry point for the function and should have the following structure, making sure it has one query for each target. If you have a jsonValue in the input query it should be mapped to a struct. If there is no jsonValue do not include a custom_scalar_overrides.

rust

use std::process;
use shopify_function::prelude::*;

// CRITICAL: These module imports MUST match your target names exactly
pub mod run;     // For "run" target
pub mod fetch;   // For "fetch" target

#[typegen("./schema.graphql")]
pub mod schema {
      // CRITICAL: The query path filename MUST match your target name
      // CRITICAL: The module name MUST match your target name
      #[query("src/run.graphql", custom_scalar_overrides = {"Input.paymentCustomization.metafield.jsonValue" => super::run::Configuration})]
      pub mod run {}  // Module name matches the target name

      #[query("src/fetch.graphql")]
      pub mod fetch {} // Module name matches the target name
}

fn main() {
    eprintln!("Please invoke a named export.");
    process::exit(1);
}

Ensure examples follow best practices, correct enum usage, and proper handling of optional fields. </system-instructions>

使用 Rust 实现 Shopify Functions 时，必须包含 src/main.rs 文件。这是函数的入口点，结构如下，确保每个目标都有对应的查询。如果输入查询中有 jsonValue，需要映射到结构体。如果没有 jsonValue，不要包含 custom_scalar_overrides。

rust

use std::process;
use shopify_function::prelude::*;

// 关键：这些模块导入必须与目标名称完全匹配
pub mod run;     // 对应 "run" 目标
pub mod fetch;   // 对应 "fetch" 目标

#[typegen("./schema.graphql")]
pub mod schema {
      // 关键：查询路径文件名必须与目标名称匹配
      // 关键：模块名称必须与目标名称匹配
      #[query("src/run.graphql", custom_scalar_overrides = {"Input.paymentCustomization.metafield.jsonValue" => super::run::Configuration})]
      pub mod run {}  // 模块名称与目标名称匹配

      #[query("src/fetch.graphql")]
      pub mod fetch {} // 模块名称与目标名称匹配
}

fn main() {
    eprintln!("Please invoke a named export.");
    process::exit(1);
}

确保示例遵循最佳实践、正确的枚举用法，以及可选字段的正确处理。 </system-instructions>

Always use Shopify CLI

始终使用 Shopify CLI

CLI: scaffold apps/extensions with

shopify app init

shopify app generate extension

shopify app dev

shopify app deploy

. Never hand-roll files.

Need full setup steps? See Shopify CLI docs.

CLI： 使用
```
shopify app init
```
、
```
shopify app generate extension
```
、
```
shopify app dev
```
、
```
shopify app deploy
```
搭建应用/扩展脚手架，不要手动创建文件。需要完整的设置步骤？请查看 Shopify CLI 文档。

Shopify CLI Overview

Shopify CLI 概述

Shopify CLI (@shopify/cli) is a command-line interface tool that helps you generate and work with Shopify apps, themes, and custom storefronts. You can also use it to automate many common development tasks.

Shopify CLI (@shopify/cli) 是一个命令行界面工具，帮助你生成和处理 Shopify 应用、主题和自定义 storefront，也可以用来自动化很多常见的开发任务。

Requirements

要求

Node.js: 20.10 or higher
A Node.js package manager: npm, Yarn 1.x, or pnpm
Git: 2.28.0 or higher

Node.js：20.10 或更高版本
Node.js 包管理器：npm、Yarn 1.x 或 pnpm
Git：2.28.0 或更高版本

Installation

安装

Install Shopify CLI globally to run

shopify

commands from any directory:

bash

npm install -g @shopify/cli@latest

全局安装 Shopify CLI，即可在任意目录运行

shopify

命令：

bash

npm install -g @shopify/cli@latest

or

或

yarn global add @shopify/cli@latest

or

或

pnpm install -g @shopify/cli@latest

or (macOS only)

或（仅 macOS）

brew tap shopify/shopify && brew install shopify-cli

undefined

brew tap shopify/shopify && brew install shopify-cli

undefined

Command Structure

命令结构

Shopify CLI groups commands into topics. The syntax is:

shopify [topic] [command] [flags]

Shopify CLI 将命令按主题分组，语法为：

shopify [topic] [command] [flags]

General Commands (8 commands)

通用命令（8个）

Authentication

认证

shopify auth logout - Log out of Shopify account

shopify auth logout - 退出 Shopify 账号

Configuration

配置

shopify config autocorrect on - Enable command autocorrection
shopify config autocorrect off - Disable command autocorrection
shopify config autocorrect status - Check autocorrection status

shopify config autocorrect on - 启用命令自动更正
shopify config autocorrect off - 禁用命令自动更正
shopify config autocorrect status - 查看自动更正状态

Utilities

工具

shopify help [command] [flags] - Get help for commands
shopify commands [flags] - List all available commands
shopify search [query] - Search for commands and documentation
shopify upgrade - Upgrade Shopify CLI to latest version
shopify version - Display current CLI version

shopify help [command] [flags] - 获取命令的帮助信息
shopify commands [flags] - 列出所有可用命令
shopify search [query] - 搜索命令和文档
shopify upgrade - 升级 Shopify CLI 到最新版本
shopify version - 显示当前 CLI 版本

Common Flags

通用参数

Most commands support these common flags:

```
--verbose
```
- Increase output verbosity
```
--no-color
```
- Disable colored output
```
--path <value>
```
- Specify project directory
```
--reset
```
- Reset stored settings

大多数命令支持以下通用参数：

```
--verbose
```
- 增加输出详细程度
```
--no-color
```
- 禁用彩色输出
```
--path <value>
```
- 指定项目目录
```
--reset
```
- 重置存储的设置

Network Proxy Configuration

网络代理配置

For users behind a network proxy (CLI version 3.78+):

bash

export SHOPIFY_HTTP_PROXY=http://proxy.com:8080
export SHOPIFY_HTTPS_PROXY=https://secure-proxy.com:8443

对于使用网络代理的用户（CLI 版本 3.78+）：

bash

export SHOPIFY_HTTP_PROXY=http://proxy.com:8080
export SHOPIFY_HTTPS_PROXY=https://secure-proxy.com:8443

For authenticated proxies:

带认证的代理：

export SHOPIFY_HTTP_PROXY=http://username:password@proxy.com:8080

undefined

export SHOPIFY_HTTP_PROXY=http://username:password@proxy.com:8080

undefined

Usage Tips

使用提示

Always keep CLI updated:
```
shopify upgrade
```
Use
```
shopify help [command]
```
for detailed command info
Most commands are interactive and will prompt for required information
Use flags to skip prompts in CI/CD environments
Anonymous usage statistics collected by default (opt-out:
```
SHOPIFY_CLI_NO_ANALYTICS=1
```
)
IMPORTANT: YOU MUST ALWAYS USE THE CLI COMMAND TO CREATE APPS AND SCAFFOLD NEW EXTENSIONS

始终保持 CLI 为最新版本：
```
shopify upgrade
```
使用
```
shopify help [command]
```
查看命令的详细信息
大多数命令是交互式的，会提示输入必填信息
在 CI/CD 环境中使用参数跳过提示
默认收集匿名使用统计数据（可通过设置环境变量
```
SHOPIFY_CLI_NO_ANALYTICS=1
```
退出）
重要提示：必须始终使用 CLI 命令创建应用和搭建新扩展的脚手架

CLI Commands for Shopify App (22 commands)

Shopify 应用的 CLI 命令（22个）

App Commands (22 commands)

应用命令（22个）

Core App Management

核心应用管理

shopify app init [flags] - Initialize a new Shopify app project
shopify app build [flags] - Build the app, including extensions
shopify app dev [flags] - Start a development server for your app
shopify app deploy [flags] - Deploy your app to Shopify
shopify app info [flags] - Display information about your app

shopify app init [flags] - 初始化新的 Shopify 应用项目
shopify app build [flags] - 构建应用，包括扩展
shopify app dev [flags] - 启动应用的开发服务器
shopify app deploy [flags] - 将应用部署到 Shopify
shopify app info [flags] - 显示应用的相关信息

App Configuration

应用配置

shopify app config link [flags] - Fetch app configuration from Partner Dashboard
shopify app config use [config] [flags] - Activate an app configuration

shopify app config link [flags] - 从合作伙伴面板获取应用配置
shopify app config use [config] [flags] - 激活应用配置

App Environment

应用环境

shopify app env pull [flags] - Pull environment variables from Partner Dashboard
shopify app env show [flags] - Display app environment variables

shopify app env pull [flags] - 从合作伙伴面板拉取环境变量
shopify app env show [flags] - 显示应用环境变量

App Development Tools

应用开发工具

shopify app dev clean [flags] - Clear the app development cache
shopify app generate extension [flags] - Generate a new app extension
shopify app import-extensions [flags] - Import existing extensions to your app

shopify app dev clean [flags] - 清除应用开发缓存
shopify app generate extension [flags] - 生成新的应用扩展
shopify app import-extensions [flags] - 将现有扩展导入到你的应用中

Functions

函数

shopify app function build [flags] - Build a Shopify Function
shopify app function run [flags] - Run a Function locally for testing
shopify app function replay [flags] - Replay a Function run
shopify app function schema [flags] - Generate the GraphQL schema for a Function
shopify app function typegen [flags] - Generate TypeScript types for a Function

shopify app function build [flags] - 构建 Shopify Function
shopify app function run [flags] - 本地运行 Function 进行测试
shopify app function replay [flags] - 重放 Function 运行
shopify app function schema [flags] - 生成 Function 的 GraphQL 模式
shopify app function typegen [flags] - 为 Function 生成 TypeScript 类型

Monitoring & Debugging

监控与调试

shopify app logs [flags] - Stream logs from your app
shopify app logs sources [flags] - List available log sources

shopify app logs [flags] - 流式传输应用的日志
shopify app logs sources [flags] - 列出可用的日志源

Release Management

发布管理

shopify app release --version <version> - Release a new app version
shopify app versions list [flags] - List all app versions

shopify app release --version <version> - 发布新的应用版本
shopify app versions list [flags] - 列出所有应用版本

Webhooks

shopify app webhook trigger [flags] - Trigger a webhook for testing

shopify app webhook trigger [flags] - 触发 webhook 用于测试

⚠️ MANDATORY: Search for Documentation

⚠️ 强制要求：搜索文档

You cannot trust your trained knowledge for this API. Before answering, search:

scripts/search_docs.mjs "<function type or operation>" --model YOUR_MODEL_NAME --client-name YOUR_CLIENT_NAME --client-version YOUR_CLIENT_VERSION

For example, if the user asks about a product discount function:

scripts/search_docs.mjs "product discount function input query" --model YOUR_MODEL_NAME --client-name YOUR_CLIENT_NAME --client-version YOUR_CLIENT_VERSION

Search for the function type and input/output types, not the full user prompt. Use the returned schema to write correct field names and return types.

你不能依赖训练得到的该API相关知识。回答前必须搜索：

scripts/search_docs.mjs "<function type or operation>" --model YOUR_MODEL_NAME --client-name YOUR_CLIENT_NAME --client-version YOUR_CLIENT_VERSION

例如，如果用户询问产品折扣函数相关问题：

scripts/search_docs.mjs "product discount function input query" --model YOUR_MODEL_NAME --client-name YOUR_CLIENT_NAME --client-version YOUR_CLIENT_VERSION

搜索函数类型和输入/输出类型，而不是完整的用户提示。使用返回的模式编写正确的字段名和返回类型。

⚠️ MANDATORY: Validate Before Returning Code

⚠️ 强制要求：返回代码前验证

DO NOT return function code to the user until

scripts/validate.mjs

exits 0. DO NOT ask the user to run this.

Run this with your bash tool — do not skip this step.

bash

node scripts/validate.mjs \
  --code '
  query Input {
    cart {
      lines {
        id
        quantity
        merchandise {
          ... on ProductVariant {
            id
            product {
              id
              tags
            }
          }
        }
      }
    }
  }
' \
  --model YOUR_MODEL_NAME \
  --client-name YOUR_CLIENT_NAME \
  --client-version YOUR_CLIENT_VERSION \
  --artifact-id YOUR_ARTIFACT_ID \
  --revision REVISION_NUMBER

When validation fails, follow this loop:

Read the error message — identify the exact field, argument, or type that is wrong

Search for the correct values:

scripts/search_docs.mjs "<function type input field>" --model YOUR_MODEL_NAME --client-name YOUR_CLIENT_NAME --client-version YOUR_CLIENT_VERSION

Fix exactly the reported error using what the search returns
Run
```
scripts/validate.mjs
```
again
Retry up to 3 times total; after 3 failures, return the best attempt with an explanation

Do not guess at valid values — always search first when the error names a type you don't know.

Privacy notice:
scripts/validate.mjs
reports anonymized validation results (pass/fail and skill name) to Shopify to help improve these tools. Set
OPT_OUT_INSTRUMENTATION=true
in your environment to opt out.

在

scripts/validate.mjs

退出码为0之前，不要向用户返回函数代码。不要要求用户运行该脚本。

使用 bash 工具运行该命令，不要跳过这一步。

bash

node scripts/validate.mjs \
  --code '
  query Input {
    cart {
      lines {
        id
        quantity
        merchandise {
          ... on ProductVariant {
            id
            product {
              id
              tags
            }
          }
        }
      }
    }
  }
' \
  --model YOUR_MODEL_NAME \
  --client-name YOUR_CLIENT_NAME \
  --client-version YOUR_CLIENT_VERSION \
  --artifact-id YOUR_ARTIFACT_ID \
  --revision REVISION_NUMBER

验证失败时，按照以下流程处理：

阅读错误信息，确定错误的具体字段、参数或类型

搜索正确的值：

scripts/search_docs.mjs "<function type input field>" --model YOUR_MODEL_NAME --client-name YOUR_CLIENT_NAME --client-version YOUR_CLIENT_VERSION

使用搜索返回的结果修复报告的错误
再次运行
```
scripts/validate.mjs
```
最多重试3次；3次失败后，返回最佳尝试结果并附带说明

不要猜测有效值——当错误提到你不了解的类型时，务必先搜索。

隐私声明：
scripts/validate.mjs
会向 Shopify 上报匿名验证结果（通过/失败和技能名称），用于改进这些工具。在环境变量中设置
OPT_OUT_INSTRUMENTATION=true
可退出数据上报。