AI prompts
base on # microsearch
`microsearch` is a minimal Python search engine designed for simplicity and efficiency. The project allows users to perform searches using Python, and it also provides an option to deploy a FastAPI app with an endpoint and a website for a user-friendly experience. It has been designed to provide users with a straightforward way to deploy their own search engine and search documents from their favorite blogs. The project includes a script for asynchronously downloading all the posts from a series of RSS feeds.
## Features:
- **Python Implementation**: `microsearch` is entirely implemented in Python, making it accessible and easy to understand for developers with varying levels of experience.
- **FastAPI App Deployment**: The project provides an option to deploy a FastAPI app, allowing users to interact with the search engine through a dedicated endpoint and a user-friendly website.
- **RSS Feed Crawling Script**: To populate the search engine with data, `microsearch` offers a script for asynchronously downloading posts from a series of RSS feeds. This feature ensures that users can conveniently aggregate content from their chosen blogs.
## Getting started
The first step is to download this repo
```bash
git clone https://github.com/alexmolas/microsearch.git
```
Then, I recommend you install everything in a virtual environment. I usually use `virtualenv` but any other environment manager should work.
```bash
virtualenv -p python3.10 venv
```
activate the environment
```bash
source venv/bin/activate
```
and install the package and the dependencies
```bash
pip install .
```
## Crawl data
Now we need to download the content of the blogs. I'm sharing [here](https://github.com/alexmolas/microsearch/blob/main/feeds.txt) a list of feed examples, but please feel free to use your own. To download the content do
```bash
python download_content.py --feed-path feeds.txt
```
## Launch app
Finally, once the content is crawled and stored you can run the app as
```bash
python -m app.app --data-path output.parquet
```
and if you navigate to [http://127.0.0.1:8000/](http://127.0.0.1:8000/) you'll be able to query the engine.
", Assign "at most 3 tags" to the expected json: {"id":"7634","tags":[]} "only from the tags list I provide: [{"id":77,"name":"3d"},{"id":89,"name":"agent"},{"id":17,"name":"ai"},{"id":54,"name":"algorithm"},{"id":24,"name":"api"},{"id":44,"name":"authentication"},{"id":3,"name":"aws"},{"id":27,"name":"backend"},{"id":60,"name":"benchmark"},{"id":72,"name":"best-practices"},{"id":39,"name":"bitcoin"},{"id":37,"name":"blockchain"},{"id":1,"name":"blog"},{"id":45,"name":"bundler"},{"id":58,"name":"cache"},{"id":21,"name":"chat"},{"id":49,"name":"cicd"},{"id":4,"name":"cli"},{"id":64,"name":"cloud-native"},{"id":48,"name":"cms"},{"id":61,"name":"compiler"},{"id":68,"name":"containerization"},{"id":92,"name":"crm"},{"id":34,"name":"data"},{"id":47,"name":"database"},{"id":8,"name":"declarative-gui "},{"id":9,"name":"deploy-tool"},{"id":53,"name":"desktop-app"},{"id":6,"name":"dev-exp-lib"},{"id":59,"name":"dev-tool"},{"id":13,"name":"ecommerce"},{"id":26,"name":"editor"},{"id":66,"name":"emulator"},{"id":62,"name":"filesystem"},{"id":80,"name":"finance"},{"id":15,"name":"firmware"},{"id":73,"name":"for-fun"},{"id":2,"name":"framework"},{"id":11,"name":"frontend"},{"id":22,"name":"game"},{"id":81,"name":"game-engine "},{"id":23,"name":"graphql"},{"id":84,"name":"gui"},{"id":91,"name":"http"},{"id":5,"name":"http-client"},{"id":51,"name":"iac"},{"id":30,"name":"ide"},{"id":78,"name":"iot"},{"id":40,"name":"json"},{"id":83,"name":"julian"},{"id":38,"name":"k8s"},{"id":31,"name":"language"},{"id":10,"name":"learning-resource"},{"id":33,"name":"lib"},{"id":41,"name":"linter"},{"id":28,"name":"lms"},{"id":16,"name":"logging"},{"id":76,"name":"low-code"},{"id":90,"name":"message-queue"},{"id":42,"name":"mobile-app"},{"id":18,"name":"monitoring"},{"id":36,"name":"networking"},{"id":7,"name":"node-version"},{"id":55,"name":"nosql"},{"id":57,"name":"observability"},{"id":46,"name":"orm"},{"id":52,"name":"os"},{"id":14,"name":"parser"},{"id":74,"name":"react"},{"id":82,"name":"real-time"},{"id":56,"name":"robot"},{"id":65,"name":"runtime"},{"id":32,"name":"sdk"},{"id":71,"name":"search"},{"id":63,"name":"secrets"},{"id":25,"name":"security"},{"id":85,"name":"server"},{"id":86,"name":"serverless"},{"id":70,"name":"storage"},{"id":75,"name":"system-design"},{"id":79,"name":"terminal"},{"id":29,"name":"testing"},{"id":12,"name":"ui"},{"id":50,"name":"ux"},{"id":88,"name":"video"},{"id":20,"name":"web-app"},{"id":35,"name":"web-server"},{"id":43,"name":"webassembly"},{"id":69,"name":"workflow"},{"id":87,"name":"yaml"}]" returns me the "expected json"