Using Jinja Template

本文介绍了在使用Google App Engine (GAE) 进行应用开发时的一些注意事项,包括命名规范及Python代码中常见的缩进问题解决方案。

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今天算是导通jinja的模板怎么用了。

记几点:

1,GAE 的name不能用大写,不能用小数点和下划线,但是连接符“-”可以。

2,有一个app,我在原先的源码里全部改掉不能运行,却新建一个app却正常运行,很奇怪,记一下以后解决吧。但是可以说明的是以后有什么新的app就create new application,能防止此类问题出现。


2的答案有了,是因为Python的缩进问题,如果用了tab,缩进就一定都用tab,但是最好强调最好还是都用空格,这个简单打开notepad用个plug-in就好了,搞定。


### Ollama Python Template Example Code Usage For creating a Python application that integrates with the Ollama service, one can design an HTML template similar to other web applications but tailored specifically for interacting with or displaying data from Ollama services. Although specific details about Ollama's integration are not provided here, adapting a general approach used in web development frameworks like Flask or Django is beneficial. Given this context, consider designing a simple `ollama_template.html` file under the templates directory which interacts with hypothetical Ollama API endpoints: ```html <!DOCTYPE html> <html> <head> <meta charset="utf-8" /> <title>Ollama Service Interaction - Awesome Python Webapp</title> </head> <body> <h1>Interact With Ollama Services</h1> {% if ollama_data %} <ul> {% for item in ollama_data %} <li>{{ item.key }} : {{ item.value }}</li> {% endfor %} </ul> {% endif %} <form action="/submit_to_ollama" method="post"> <label for="inputData">Input Data:</label><br/> <textarea id="inputData" name="inputData"></textarea><br/><br/> <button type="submit">Submit To Ollama</button> </form> </body> </html> ``` This template assumes there exists some backend logic where `ollama_data` represents information fetched from Ollama APIs and displayed on the page using Jinja2 syntax common in Flask apps[^1]. Additionally, it includes a form allowing users to submit new queries or commands directly back to the server endpoint `/submit_to_ollama`. The structure of such a system would involve components as described previously including data collection (API calls), storage (if necessary), visualization through this front-end component, potentially even alerting based off responses received from Ollama depending upon use case requirements[^3].
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