Reports

💡

Needs team credentials to use this command.

You can get reports on your team containing:

number of seats provisioned, used and pending
current password health score
aggregated password health score history

Fetch reports

The following commands take in input the number of days to look back for the password health history. The default is 0 day.

dcli t report 30

Here is the structure of the report:

Output Interface	Description	Type
`seats.provisioned`	The total number of seats that are paid	`number`
`seats.used`	The number of used seats (active, pending)	`number`
`seats.pending`	The number of pending invitations	`number`
`passwordHealthHistory`	Array containing objects with date and securityIndex properties	`array`
`passwordHealth.securityIndex`	The aggregated security index of the team	`number`
`passwordHealth.passwords`	The total number of passwords in this team	`number`
`passwordHealth.safe`	The total number of safe passwords in this team	`number`
`passwordHealth.weak`	The total number of weak passwords in this team	`number`
`passwordHealth.reused`	The total number of reused passwords in this team	`number`
`passwordHealth.compromised`	The total number of compromised passwords in this team	`number`

Generate graphics from reports

One way to consume password health history reports is to generate graphics from them.

Example of graphic generated from a report

The following Python script example will generate a graphic from the report.

generate-graph.py

import matplotlib.pyplot as plt
import numpy as np
 
 
def format_month(month: str):
    match month:
        case "01":
            return "Jan"
        case "02":
            return "Feb"
        case "03":
            return "Mar"
        case "04":
            return "Apr"
        case "05":
            return "May"
        case "06":
            return "Jun"
        case "07":
            return "Jui"
        case "08":
            return "Aug"
        case "09":
            return "Sep"
        case "10":
            return "Oct"
        case "11":
            return "Nov"
        case "12":
            return "Dec"
 
 
def format_x_label(label: str):
    year, month = label.split("-")
    return f"{format_month(month)} {year}"
 
 
def generate_graph(file_path: str, data):
    dates = []
    values = []
    for value in data:
        dates.append(np.datetime64(value["date"]))
        values.append(value["securityIndex"])
 
    # create two subplots with the shared x and y axes
    fig, (ax) = plt.subplots(figsize=(10, 5))
 
    ax.plot(dates, values, lw=2, color="#4e828f")
    ax.grid(True)
 
    ax.set_ylabel("Security score")
    labels = ax.get_xticklabels()
    for label in labels:
        label._text = format_x_label(label._text)
    ax.set_xticklabels(labels)
 
    ax.set_ylim(min(values) - 10, 100)
 
    fig.suptitle("Evolution of the team security score")
    fig.autofmt_xdate()
 
    plt.savefig(file_path)
    plt.close()
    return file_path

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