### ZiNiao Get Store List API

Source: https://github.com/zhouxiaodi0223/yddocs/blob/main/指令文档/扩展指令/其他/紫鸟浏览器API/紫鸟-获取店铺列表(API).md

Retrieves a list of all stores associated with a ZiNiao account. This API endpoint returns the names of all stores.

```APIDOC
API: Get Store List

Endpoint:
  /api/stores/list

Method:
  GET

Description:
  Fetches all store names associated with the authenticated ZiNiao account.

Parameters:
  None

Returns:
  A JSON object containing a list of store names.
  Example:
  {
    "stores": [
      "Store A",
      "Store B",
      "Store C"
    ]
  }

Usage:
  Make a GET request to the /api/stores/list endpoint.

Application Scenarios:
  - Displaying available stores for selection.
  - Managing store-specific configurations.
  - Reporting on store data.
```

--------------------------------

### hash_hgetall: Get All Hash Fields and Values

Source: https://github.com/zhouxiaodi0223/yddocs/blob/main/指令文档/扩展指令/数据库/Redis扩展/hash_hgetall.md

Retrieves all fields and their corresponding values from a specified hash table. The command returns the data as a dictionary, mapping each field to its value. This is useful for fetching the entire state of a hash object in a single operation.

```APIDOC
hash_hgetall key
  - Retrieves all fields and values from the hash stored at key.
  - Parameters:
    - key: The key of the hash table.
  - Returns:
    - A dictionary (dict) containing all field-value pairs from the hash.
```

--------------------------------

### Convert Pandas DataFrame to Python List

Source: https://github.com/zhouxiaodi0223/yddocs/blob/main/指令文档/扩展指令/高级数据处理/DataFrame表格扩展指令集/DataFrame转list.md

Demonstrates how to convert a Pandas DataFrame into a nested Python list. This method is useful for extracting the data in a simple list format for further processing or compatibility with other libraries. It requires the Pandas library to be installed.

```python
import pandas as pd

# Create a sample DataFrame
data = {'col1': [1, 2, 3], 'col2': ['A', 'B', 'C']}
df = pd.DataFrame(data)

# Convert DataFrame to list
list_representation = df.values.tolist()

print(list_representation)
# Expected output: [[1, 'A'], [2, 'B'], [3, 'C']]
```

--------------------------------

### Open Shop API

Source: https://github.com/zhouxiaodi0223/yddocs/blob/main/指令文档/扩展指令/其他/紫鸟控制台操作/打开店铺(API)NEW.md

This API endpoint allows for opening a specified shop through the Ziniu API. Detailed parameters, request methods, and response formats are not provided in the source text, but it is intended for programmatic shop access.

```APIDOC
API Endpoint: Open Shop

Description:
  Opens a specified shop using the Ziniu API.

Details:
  - Functionality: Programmatically open a shop.
  - API Provider: Ziniu API

Note:
  The provided text does not include specific method signatures, parameters, request bodies, or response schemas. Further documentation is required for actual implementation.
```

--------------------------------

### 引力魔方报表下载说明

Source: https://github.com/zhouxiaodi0223/yddocs/blob/main/指令文档/扩展指令/淘宝/阿里妈妈多平台数据获取/引力魔方-报表-新品飞车报表-汇总数据下载.md

此功能用于下载引力魔方报表中的新品飞车报表数据。用户可以自定义报表的时间范围、转化周期以及文件存储路径。请注意，此指令仅支持Chrome浏览器，并且需要确保浏览器下载设置正确，以避免下载异常。

```APIDOC
功能描述:
  实现对引力魔方_报表_新品飞车报表的效果、时间范围、转化周期、文件存储路径等参数的自定义及报表下载。

依赖:
  - Chrome浏览器

限制:
  - 仅支持Chrome浏览器。
  - 使用时需确保当前页面为指定报表页面，且无其他元素遮挡。
  - Chrome浏览器需开启【设置】→【下载内容】→【下载前询问每个文件的保存位置设置】，否则可能导致文件下载异常。

输入参数:
  - 报表类型: 新品飞车报表
  - 时间范围: 用户自定义
  - 转化周期: 用户自定义
  - 文件存储路径: 用户自定义

输出:
  - 汇总数据报表文件
```

--------------------------------

### Create DingTalk Table Connection

Source: https://github.com/zhouxiaodi0223/yddocs/blob/main/指令文档/扩展指令/钉钉/钉钉在线表格操作/建立钉钉表格连接.md

Establishes a connection to DingTalk tables by utilizing enterprise internal application credentials. This process returns a `dingtalk_instance` object, which is essential for performing further operations with DingTalk tables.

```APIDOC
CreateDingTalkConnection:
  description: Creates a DingTalk table connection instance.
  parameters:
    appKey: string
      description: The AppKey of the enterprise internal application.
    appSecret: string
      description: The AppSecret of the enterprise internal application.
    userId: string
      description: The User ID for the connection.
  returns:
    dingtalk_instance: object
      description: An instance object for interacting with DingTalk tables.
  usage:
    # Example of creating a connection (conceptual)
    dingtalk_instance = CreateDingTalkConnection(appKey='YOUR_APP_KEY', appSecret='YOUR_APP_SECRET', userId='USER_ID_123')
```

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