https://github.com/gadhagod/flask-geomapper

Visualize Flask request locations cartographically
https://github.com/gadhagod/flask-geomapper

flask flask-extension flask-geomapper

Last synced: 2 months ago
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Visualize Flask request locations cartographically

• Host: GitHub
• URL: https://github.com/gadhagod/flask-geomapper
• Owner: gadhagod
• License: mit
• Created: 2021-05-08T02:37:39.000Z (about 5 years ago)
• Default Branch: master
• Last Pushed: 2021-05-16T18:23:57.000Z (about 5 years ago)
• Last Synced: 2025-10-06T11:40:21.510Z (9 months ago)
• Topics: flask, flask-extension, flask-geomapper
• Language: Python
• Homepage:
• Size: 59.6 KB
• Stars: 2
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

          
# flask-geomapper

Visualize Flask request locations cartographically.

This python library allows you to map Flask request locations on a map using their IPs. This allows you to get a better understanding of your users and audience. \

Example map:



    



## Installation

    pip3 install flask-geomapper

## Demo

[https://flask-geomapper.herokuapp.com](https://flask-geomapper.herokuapp.com) (locations cleared periodically). Source can be found at "examples/heroku".

## Quickstart

Here is a simple example of flask-geomapper. An explaination can be found in "examples/basic.py".

    import flask

    from flask_geomapper import flask_geomapper

    app = flask.Flask(__name__)

    fg = flask_geomapper(app, count_trigger=app.before_request, debug=True) 

    @app.route("/")

    def show_map():

        return flask.send_file(fg.get_img(), mimetype="image/png")

    app.run(debug=True, use_reloader=False)

## Examples

Examples can be found in the examples directory.

Basic usage: "basic.py" \

AWS S3 integration: "aws_s3.py" \

Modifying count triggers: "count_triggers.py" \

Database integration: "database_integration.py" \

Clear old locations: "remove_first_location_on_interval.py" \

Ignore routes and status codes: "ignore_routes_and_statuses.py" \

Manually add locations: "manual_history_append.py"

Heroku deployment: "heroku/"

## Commercial usage

For commercial usage, you must use an API key at [members.ip-api.com](https://members.ip-api.com).