| Type: | Package |
| Title: | Identify, Ping, and Log Internet Provider Connection Data |
| Description: | To assist you with troubleshooting internet connection issues and assist in isolating packet loss on your network. It does this by allowing you to retrieve the top trace route destinations your internet provider uses, and recursively ping each server in series while capturing the results and writing them to a log file. Each iteration it queries the destinations again, before shuffling the sequence of destinations to ensure the analysis is unbiased and consistent across each trace route. |
| Version: | 0.1.1 |
| Date: | 2018-10-17 |
| Maintainer: | Jesse Vent <cryptopackage@icloud.com> |
| URL: | https://github.com/JesseVent/pingers |
| BugReports: | https://github.com/JesseVent/pingers/issues |
| Depends: | R (≥ 3.4.0) |
| License: | MIT + file LICENSE |
| Encoding: | UTF-8 |
| LazyData: | true |
| Imports: | dplyr, stringr, tibble, tictoc, tidyselect, data.table, lubridate, plotly, reshape2 |
| RoxygenNote: | 6.1.0 |
| NeedsCompilation: | no |
| Packaged: | 2018-10-17 09:29:32 UTC; jesseimac |
| Author: | Jesse Vent [aut, cre] |
| Repository: | CRAN |
| Date/Publication: | 2018-10-26 15:00:03 UTC |
Capture ISP network logs
Description
Repeat capturing network logs with parameters you specify from
ping_capture and get_destinations. This will output a
csv file with your ping results displaying packet loss and average
ping across the defined periods.
Usage
capture_logs(destinations = 9, pings = 50, log_path = NULL,
sleep = NULL)
Arguments
destinations |
Retrieve the first n addresses in your ISP destinations |
pings |
Number of times to ping server |
log_path |
Optional: The path and filename to save the result set |
sleep |
Optional: Seconds to sleep for throughout iterations |
Value
csv file with captured network log information
Note
If the log_path parameter is not provided, it will default to saving a csv file in the current working directory called network_logs.csv prefixed with the current timestamp in the format '
Examples
## Not run:
capture_logs(destinations = 3, pings = 10, log_path = log, sleep = 20)
## End(Not run)
Get ISP destinations
Description
Trace route and grab the top n servers to assist isolating issues with individual nodes for your ISP.
Usage
get_destinations(keyword = NULL, top_n = NULL,
site = "google.com.au")
Arguments
keyword |
Keyword to search for i.e. 'AAT' |
top_n |
Retrieve the first n addresses |
site |
Defaults to 'google.com.au' to trace route against |
Value
dataframe with server and IP range
Examples
## Not run:
dest <- get_destinations(top_n = 3)
print(dest)
## End(Not run)
Ping Server
Description
Ping a server to capture response details
Usage
ping_capture(server, count)
Arguments
server |
IP address or URL of server |
count |
Number of times to ping server |
Value
dataframe with ping results
Examples
## Not run:
dest <- get_destinations(top_n = 1)
ping_res <- ping_capture(dest$ip[1], 10)
print(ping_res)
## End(Not run)
Packet Loss Heatmap
Description
Generates a heatmap that displays the packet loss hotspots on an hourly basis during the week.
Usage
pingers_heatmap(logs = NULL)
Arguments
logs |
network_logs file |
Value
highcharts heatmap
Examples
## Not run:
pingers_heatmap(net_logs)
## End(Not run)
Shuffle dataframe rows randomely
Description
Randomly reorder the rows of a dataframe
Usage
shuffle(data)
Arguments
data |
dataframe to shuffle |
Value
reordered dataframe
Examples
{
ordered_df <- tibble::tibble(V1=1:26,V2=letters)
shuffled_df <- shuffle(ordered_df)
}