我如何使用ansible的with_items解析来自google sheet api的每一行数据?

问题描述

我正在使用 Google Sheets V4 Values 集合，但无法弄清楚如何将每一行解析为 {{ item }}

I am using the Google Sheets V4 Values collection and I am having trouble figuring out how to get each row to parse in to an {{ item }}

我的 Ansible ymal 看起来像.

My Ansible ymal looks like.

tasks:
- name: debug url
  debug:
    msg: "{{ g_url }}"
- name: GET data from google spead sheet api
  uri:
    url: "{{ g_url }}"
    return_content: yes
    dest: /tmp/o_gd_form.json
  register: google_data
- name: whats the dump?
  debug:
    var: "{{ item.0 |to_json }}"
  with_items: "{{ google_data.json.values() }}" # this is the line that needs to be fixed

响应的json看起来像:

And the the responding json looks like:

{
  "range": "Sheet1!A1:D5",
  "majorDimension": "ROWS",
  "values": [
    ["Item", "Cost", "Stocked", "Ship Date"],
    ["Wheel", "$20.50", "4", "3/1/2016"],
    ["Door", "$15", "2", "3/15/2016"],
    ["Engine", "$100", "1", "30/20/2016"],
    ["Totals", "$135.5", "7", "3/20/2016"]
  ],
}

我似乎不知道如何编写 with_items 以返回 json 的 {{ item }} ，例如 ["Engine", "$100", "1", "30/20/2016"].

I can't seem figure out how to write the the with_items to return an {{ item }} of json like ["Engine", "$100", "1", "30/20/2016"].

有什么帮助还是我需要将此任务拆分为一些中间件解析器?

any help or do I need to split this task out to some middleware parser?

Google 表格 API 文档位于:

The Google sheets api documentation is at:

https://developers.google.com/sheets/samples/reading

推荐答案

要获得您想要的，请使用:

To get what you want, use:

    - debug: msg="Name={{ item.0 }} Cost={{ item.1 }}"
      with_list: "{{ google_data.json['values'] }}"

您的代码中有两个问题:

There are two problems in your code:

1. values 是一个特殊的关键字，所以你不能访问json.values，而应该使用json['values']代替.

1. values is a special keyword, so you can't access json.values, but should use json['values'] instead.

with_items 使列表列表变平，因此最终会得到很长的字符串列表.您应该使用 with_list 迭代外部列表(行)并获取内部列表(列值)作为项目.

with_items flattens the list of lists, so you end up with long list of strings. You should use with_list to iterate over outer list (rows) and get inner lists (column values) as items.

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