Fetch client counts, connectivity stats and latency stats for a Meraki Wireless network over a period of time

Introduction

Prerequisites

How to Use

This tool allows fetching wireless network statistics over a period of time, and outputs them in Matplotlib graphs and CSV files. The supported stats are:

• Client counts
• Connectivity stats (success and failures, as well as failure reasons)
• Latency stats

The script also supports filtering on SSID name, band (2.4, 5 and 6) and AP Tags.

1. Active Cisco Meraki subscriptions in the orgs where the script will be run
2. API access enabled for these organizations, as well as an API Key with access to them. See how to enable here
3. A working Python 3.0 environment
4. Install libraries in requirements.txt
5. A working wireless network
6. Run the script

1. Clone repo to your working directory with git clone https://github.com/Francisco-1088/merakiRadiusObjects.git
2. Edit config.py

• Add your API Key under API_KEY in line 1
• Add the Network ID of the network where you want to operate under net_id. You can find your Network ID easily by right clicking anywhere in the screen while logged in to your organization, and clicking "View Page Source". In the resulting page use "Find" to look for the keyword Mkiconf.locale_id if your network is a combined network (has wireless plus any other products), or Mkiconf.ng_id if your network is a standalone wireless network.

• Under year, month and day set your target start date. Maximum lookback is 30 days.
• Under step specify the number of seconds at which each measurement will be taken (for example, if set to 3600, you will have a datapoint every 3600 seconds). Supported values are 300, 600, 1200, 3600, 14400 and 86400 seconds.
• Under num_days specify the look forward period from the start date for which stats will be fetched. Fractional values are supported. The maximum supported is 7 days.
• Optionally, specify an ap_tag if you only want stats for APs with a specific tag
• Optionally, specify a band (accepts 2.4, 5 and 5 as values, in string format) if you only want stats for a specific band
• Optionally, specify a ssid name if you only want stats for a specific SSID
• The specified names must match exactly the names of these SSIDs and tags in Dashboard

3. Run script with python main.py
4. The script will output a set of .csv files for every statistic collected, as well as graphs in .png format for every statistic