pywinauto 使用指南

简介

pywinauto 是一个用于 Windows 系统下的 GUI 自动化测试和操作的 Python 库。它允许您通过代码自动化控制 Windows 应用程序，执行点击、输入文本、获取界面元素等操作，非常适合 GUI 自动化测试和重复性操作的自动化。

当前版本: 0.6.9

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ChatGPT的api可以输出json格式，但是无法指定key的名称，类型也不可控，所以去爬了langchain输出结构化结果的提示词，亲测GPT3.5也能完美输出。
注意提示词要用英文！
最后输出的结果需要处理一下markdown的标签。

为保证结果可用，写了一个循环提取json，如果无法提取，重新生成结果重试。

# flake8: noqa

STRUCTURED_FORMAT_INSTRUCTIONS = """The output should be a markdown code snippet formatted in the following schema, including the leading and trailing "```json" and "```":

```json
{{
{format}
}}
```"""

STRUCTURED_FORMAT_SIMPLE_INSTRUCTIONS = """
```json
{{
{format}
}}
```"""


PYDANTIC_FORMAT_INSTRUCTIONS = """The output should be formatted as a JSON instance that conforms to the JSON schema below.

As an example, for the schema {{"properties": {{"foo": {{"title": "Foo", "description": "a list of strings", "type": "array", "items": {{"type": "string"}}}}}}, "required": ["foo"]}}
the object {{"foo": ["bar", "baz"]}} is a well-formatted instance of the schema. The object {{"properties": {{"foo": ["bar", "baz"]}}}} is not well-formatted.

Here is the output schema:
```
{schema}
```"""

YAML_FORMAT_INSTRUCTIONS = """The output should be formatted as a YAML instance that conforms to the given JSON schema below.

# Examples
## Schema
```
{{"title": "Players", "description": "A list of players", "type": "array", "items": {{"$ref": "#/definitions/Player"}}, "definitions": {{"Player": {{"title": "Player", "type": "object", "properties": {{"name": {{"title": "Name", "description": "Player name", "type": "string"}}, "avg": {{"title": "Avg", "description": "Batting average", "type": "number"}}}}, "required": ["name", "avg"]}}}}}}
```
## Well formatted instance
```
- name: John Doe
  avg: 0.3
- name: Jane Maxfield
  avg: 1.4
```

## Schema
```
{{"properties": {{"habit": {{ "description": "A common daily habit", "type": "string" }}, "sustainable_alternative": {{ "description": "An environmentally friendly alternative to the habit", "type": "string"}}}}, "required": ["habit", "sustainable_alternative"]}}
```
## Well formatted instance
```
habit: Using disposable water bottles for daily hydration.
sustainable_alternative: Switch to a reusable water bottle to reduce plastic waste and decrease your environmental footprint.
``` 

Please follow the standard YAML formatting conventions with an indent of 2 spaces and make sure that the data types adhere strictly to the following JSON schema: 
```
{schema}
```

Make sure to always enclose the YAML output in triple backticks (```). Please do not add anything other than valid YAML output!"""


PANDAS_DATAFRAME_FORMAT_INSTRUCTIONS = """The output should be formatted as a string as the operation, followed by a colon, followed by the column or row to be queried on, followed by optional array parameters.
1. The column names are limited to the possible columns below.
2. Arrays must either be a comma-separated list of numbers formatted as [1,3,5], or it must be in range of numbers formatted as [0..4].
3. Remember that arrays are optional and not necessarily required.
4. If the column is not in the possible columns or the operation is not a valid Pandas DataFrame operation, return why it is invalid as a sentence starting with either "Invalid column" or "Invalid operation".

As an example, for the formats:
1. String "column:num_legs" is a well-formatted instance which gets the column num_legs, where num_legs is a possible column.
2. String "row:1" is a well-formatted instance which gets row 1.
3. String "column:num_legs[1,2]" is a well-formatted instance which gets the column num_legs for rows 1 and 2, where num_legs is a possible column.
4. String "row:1[num_legs]" is a well-formatted instance which gets row 1, but for just column num_legs, where num_legs is a possible column.
5. String "mean:num_legs[1..3]" is a well-formatted instance which takes the mean of num_legs from rows 1 to 3, where num_legs is a possible column and mean is a valid Pandas DataFrame operation.
6. String "do_something:num_legs" is a badly-formatted instance, where do_something is not a valid Pandas DataFrame operation.
7. String "mean:invalid_col" is a badly-formatted instance, where invalid_col is not a possible column.

Here are the possible columns:
```
{columns}
```
"""

安装问题

1. pro create myapp 新建项目时 报错:

Error: Command failed with exit code 128: git clone https://gitee.com/ant-design/ant-design-pro --depth=1 --branch all-blocks myapp

原因是git命令的代理问题，使用命令没有解决，直接打开git的配置文件删除proxy就解决了。

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TA-Lib是一个广泛使用的技术分析库，为金融专业人士和交易员提供了大量的技术分析工具，这些工具可以用于识别历史市场数据中的模式和趋势。在不同的操作系统中使用Pip无法正确安装，分别报不同的错误，记录一下问题解决过程。

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在腾讯云的轻量云服务器 CentOS 7 安装playwright时遇到的各种报错，查了好多资料才解决，以下是解决步骤：

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