requests-cache | Transparent persistent cache for http | Caching library

 by   reclosedev Python Version: v0.9.0 License: BSD-2-Clause

kandi X-RAY | requests-cache Summary

kandi X-RAY | requests-cache Summary

requests-cache is a Python library typically used in Server, Caching applications. requests-cache has no bugs, it has no vulnerabilities, it has a Permissive License and it has medium support. However requests-cache build file is not available. You can install using 'pip install requests-cache' or download it from GitHub, PyPI.

requests-cache is a transparent, persistent cache that provides an easy way to get better performance with the python requests library. Complete project documentation can be found at requests-cache.readthedocs.io.
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            kandi-support Support

              requests-cache has a medium active ecosystem.
              It has 933 star(s) with 116 fork(s). There are 15 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 17 open issues and 284 have been closed. On average issues are closed in 55 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of requests-cache is v0.9.0

            kandi-Quality Quality

              requests-cache has 0 bugs and 0 code smells.

            kandi-Security Security

              requests-cache has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              requests-cache code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              requests-cache is licensed under the BSD-2-Clause License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              requests-cache releases are available to install and integrate.
              Deployable package is available in PyPI.
              requests-cache has no build file. You will be need to create the build yourself to build the component from source.
              Installation instructions, examples and code snippets are available.
              requests-cache saves you 699 person hours of effort in developing the same functionality from scratch.
              It has 4493 lines of code, 467 functions and 63 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed requests-cache and discovered the below as its top functions. This is intended to give you an instant insight into requests-cache implemented functionality, and help decide if they suit your requirements.
            • Sends the request .
            • Initialize a converter .
            • Generate a key based on request info .
            • Removes expired responses .
            • Initialize a backend .
            • Installs the configured cache .
            • Return a list of items sorted by key .
            • Convert a CachedResponse to VCR format .
            • Normalize request .
            • Returns the datetime object .
            Get all kandi verified functions for this library.

            requests-cache Key Features

            No Key Features are available at this moment for requests-cache.

            requests-cache Examples and Code Snippets

            Requests-cache
            Pythondot img1Lines of Code : 25dot img1no licencesLicense : No License
            copy iconCopy
            $ pip install --upgrade requests-cache
            
            
            requests_cache.install_cache(cache_name='github_cache', backend='sqlite', expire_after=180)
            
            
            import requests
            import requests_cache
            
            from flask import Flask, render_template, request, jsonify
            
            app = Flask(__na  
            Test!
            Pythondot img2Lines of Code : 16dot img2no licencesLicense : No License
            copy iconCopy
            @app.route('/', methods=['GET', 'POST'])
            def home():
                if request.method == 'POST':
                    first = request.form.get('first')
                    second = request.form.get('second')
                    url = "https://api.github.com/search/users?q=location:{0}+language:{1}  

            Community Discussions

            QUESTION

            Scrape time, title and content not from a news list, but from cover and column cover news and sidebar
            Asked 2022-Apr-02 at 08:22

            I have a window with a button that scrapes the news headlines of a site into a listbox, then I have another button that scrapes the news content related to the selected headline and displays them in a textobox

            Currently on the page I scrape all the titles, their timetable and their contents, but I would also like to add the title (with the relative content) that is on the cover of the page (this), and also all the titles (with the relative contents) that are on the right column of the page (this).

            The ease is that the titles on the right column all always have the same unique html name, but the time is not directly visible because you have to open the link to get the time.

            I have tried using these, but without success

            ...

            ANSWER

            Answered 2022-Apr-02 at 08:22

            In the future, trim down your posts/question to only include minimal amount of code to answer the question. Tkinter isn't really part of what you want to fix here.

            With that being said, I only updated code pertaining to getting those cover and side news. You are correct, you need to go to the link to get the data. You could parse then from the html, or they do provide a nice json format in the

            Source https://stackoverflow.com/questions/71686996

            QUESTION

            How to cache a react page with static assets using Python?
            Asked 2021-Oct-29 at 04:33

            I created a flask application that makes a GET request to https://create-react-app-example.vercel.app and caches the react page. Then serve the HTML page from cache.

            Flask App:

            ...

            ANSWER

            Answered 2021-Oct-29 at 04:33

            serve_react_page here is returning what the user would see when they navigate to that page. Which includes links to files in /static.

            That page has links to the static assets, and when it looks for them, it's asking your server for what's actually on for instance https://create-react-app-example.vercel.app/static/css/main.5f361e03.chunk.css.

            But the browser wants to find it at http://0.0.0.0:5000/static/css/main.5f361e03.chunk.css which of course does not exist.

            You could try to set up a route in your flask app, that any request to /static downloads the file from https://create-react-app-example.vercel.app and serves it cached to the client.

            Source https://stackoverflow.com/questions/69758846

            QUESTION

            how set time of cache forrever in request-cache?
            Asked 2021-Oct-10 at 20:03
            import requests-cache
            requests_cache.install_cache('save_cache',expire_after=3600,filter_fn=check_response)
            
            ...

            ANSWER

            Answered 2021-Oct-08 at 04:19

            oh. i found that if we set expire_after = None, it will ignore expiration i found this in requests_cache.core.CachedSession(). Hope it work

            Source https://stackoverflow.com/questions/69490363

            QUESTION

            cache response in python
            Asked 2020-Mar-28 at 10:35

            I have a scenario where I want to cache a JSON response and use it further. I have total two requests out of which one I want to cache and use the response in another request, however the other request should not be cached. As of now what I have tried cache's all the requests. Here is what I have tried :

            ...

            ANSWER

            Answered 2020-Mar-28 at 10:35

            There is a feature in requests_cache to temporarily disable the cache feature. This is the method .disabled(). In the following snippet I use the with keyword to create the temporary scope in which the requests are not cached.

            Source https://stackoverflow.com/questions/60899696

            QUESTION

            Seeing error: session must be not - Not sure what it means
            Asked 2020-Jan-12 at 12:34

            I am experimenting with IG Markets and trying to run the below:

            ...

            ANSWER

            Answered 2020-Jan-12 at 12:33

            The third argument to fetch_client_sentiment_by_instrument defaults to None. If you supply a value for it, you are expected to pass in a suitable session object (this allows you to override the default behavior of requests, such as when you want to use a particular TLS version instead of whatever you get out of the box for HTTPS connections). It's not meant for passing in additional market_id identifiers, as you can readily tell from the function's definition.

            (The method call supplies an implicit first argument, so the method's third argument comes from the second explicit argument in the method call, as generally everywhere in Python where the first argument is self.)

            Source https://stackoverflow.com/questions/59703687

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install requests-cache

            First, install with pip:. Then, use requests_cache.CachedSession to make your requests. It behaves like a normal requests.Session, but with caching behavior. To illustrate, we'll call an endpoint that adds a delay of 1 second, simulating a slow or rate-limited website. With caching, the response will be fetched once, saved to demo_cache.sqlite, and subsequent requests will return the cached response near-instantly.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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