SSH Session Time Report (Daily/Monthly Automation)

Click image to view interactive dashboard 🔗

This repository automatically collects and processes user login time statistics from Linux servers, generating daily and monthly reports. The workflow runs daily at 00:00 (UTC+8) to:

• Collect login time data from server logs
• Process statistics through Python scripts on the target server
• Generate CSV reports and update this README file
• Commit changes back to the repository

Monthly login time in days

month	pengbenkang	yangjianchao	pengyinlun	juxin	hello	shenjunzhong	fengjing	wangjianan	chendong	hejun	yangrenyu	xuezeyu	kangyuhan	lzd	yangjingkui	tangminjin	guohui	mashaocong
Total	263d	309d	63d	33d	110d	183d	89d	26d	227d	95d	172d	142d	90d	12d	13d	4d	11d	45d
2026-03	2	4	0	0	4	3	0	2	3	2	0	1	0	0	0	0	0	2
2026-02	24	26	0	1	9	10	4	11	24	9	5	7	4	0	0	0	0	13
2026-01	18	29	10	1	26	27	23	0	21	19	20	20	12	0	0	0	0	6
2025-12	27	29	8	0	21	18	19	0	24	14	22	5	2	0	0	0	0	3
2025-11	29	30	8	1	14	15	6	0	19	13	18	13	5	0	0	2	0	11
2025-10	25	31	5	0	5	16	1	0	21	12	18	14	2	0	0	0	0	0
2025-09	28	29	0	0	3	12	13	2	23	14	21	6	12	0	1	0	0	3
2025-08	12	29	1	0	0	23	0	5	25	0	6	14	15	0	1	0	0	2
2025-07	29	29	4	0	4	19	10	0	23	3	19	23	12	2	0	1	11	5
2025-06	28	28	3	8	6	20	10	0	26	6	11	18	15	7	5	0	0	0
2025-05	23	26	15	8	9	9	0	3	13	1	19	11	7	2	6	1	0	0
2025-04	18	19	9	14	9	11	3	3	5	2	13	10	4	1	0	0	0	0

Daily login time in minutes for the past 30 days

date	pengbenkang	yangjianchao	pengyinlun	juxin	hello	shenjunzhong	fengjing	wangjianan	chendong	hejun	yangrenyu	xuezeyu	kangyuhan	lzd	yangjingkui	tangminjin	guohui	mashaocong
Total	223.7h	31.2h	0.0h	3.7h	86.5h	62.9h	39.7h	37.4h	254.1h	46.3h	33.7h	26.2h	7.3h	0.0h	0.0h	0.0h	0.0h	162.2h
2026-03-04	0.0	1.28	0.0	0.0	365.67	0.0	0.0	6.25	805.13	0.0	0.0	72.45	0.0	0.0	0.0	0.0	0.0	777.0
2026-03-03	0.0	1.08	0.0	0.0	957.27	51.08	0.0	58.68	996.68	25.82	0.0	0.0	0.0	0.0	0.0	0.0	0.0	743.15
2026-03-02	74.35	1.1	0.0	0.0	440.97	30.12	0.0	0.0	800.62	266.55	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
2026-03-01	696.93	146.73	0.0	0.0	122.3	3.43	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
2026-02-28	690.27	29.1	0.0	0.0	607.97	875.08	0.0	0.0	471.03	179.65	0.0	0.0	228.98	0.0	0.0	0.0	0.0	0.0
2026-02-27	335.1	0.98	0.0	0.0	0.0	0.0	0.0	0.0	525.37	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
2026-02-26	817.38	0.9	0.0	0.0	703.7	0.0	0.0	0.0	626.75	0.65	0.0	72.85	0.0	0.0	0.0	0.0	0.0	795.7
2026-02-25	678.8	85.32	0.0	0.0	1295.5	0.0	0.0	5.1	680.75	136.02	0.0	0.0	0.0	0.0	0.0	0.0	0.0	456.7
2026-02-24	873.27	524.93	0.0	0.0	16.03	0.0	0.0	3.8	835.8	0.0	0.0	186.17	0.0	0.0	0.0	0.0	0.0	809.9
2026-02-23	689.25	1.08	0.0	0.0	39.85	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	660.48
2026-02-22	1205.77	0.93	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	1369.13
2026-02-21	226.53	0.87	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	799.65
2026-02-20	903.68	1.27	0.0	0.0	0.0	0.0	0.0	0.0	275.9	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	656.28
2026-02-19	0.0	0.83	0.0	0.0	0.0	793.72	0.0	0.0	242.95	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	399.57
2026-02-18	805.98	0.67	0.0	0.0	0.0	0.0	0.0	0.0	1272.98	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	26.92
2026-02-17	0.0	0.67	0.0	0.0	0.0	0.0	0.0	0.0	225.03	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	639.0
2026-02-16	5.02	0.8	0.0	0.0	0.0	544.22	0.0	0.0	736.42	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
2026-02-15	304.92	0.5	0.0	0.0	0.0	0.0	0.0	0.0	60.47	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
2026-02-14	1222.08	0.78	0.0	0.0	0.0	850.27	0.0	443.9	426.67	0.0	0.0	245.93	0.0	0.0	0.0	0.0	0.0	0.0
2026-02-13	808.5	0.82	0.0	0.0	0.0	83.83	0.0	411.02	567.65	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
2026-02-12	540.4	0.0	0.0	0.0	0.0	219.7	0.0	325.12	410.9	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
2026-02-11	338.77	0.53	0.0	0.0	0.0	22.35	0.0	50.0	625.45	444.2	0.0	293.82	0.0	0.0	0.0	0.0	0.0	0.0
2026-02-10	395.8	0.0	0.0	0.0	0.0	0.0	0.0	288.0	315.35	1398.75	273.13	0.0	0.0	0.0	0.0	0.0	0.0	0.0
2026-02-09	88.47	69.8	0.0	0.0	0.0	0.0	0.0	0.0	519.43	309.62	0.0	0.0	43.2	0.0	0.0	0.0	0.0	0.0
2026-02-08	33.02	0.88	0.0	0.0	0.0	0.0	0.0	0.0	33.65	14.52	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
2026-02-07	0.0	0.52	0.0	0.0	0.0	0.0	0.0	0.0	389.57	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0	0.0
2026-02-06	321.5	67.38	0.0	0.0	0.0	0.0	869.4	20.53	677.13	0.0	484.08	0.0	83.6	0.0	0.0	0.0	0.0	689.83
2026-02-05	484.28	266.05	0.0	0.0	0.0	0.0	708.5	296.57	1371.85	0.0	452.97	0.0	83.67	0.0	0.0	0.0	0.0	0.0
2026-02-04	490.37	484.02	0.0	0.0	122.12	0.0	361.47	120.55	822.88	0.6	810.62	227.55	0.0	0.0	0.0	0.0	0.0	0.0
2026-02-03	392.33	181.4	0.0	221.07	517.98	298.3	442.52	216.8	526.68	0.0	0.0	474.15	0.0	0.0	0.0	0.0	0.0	911.23

Custom Configurations

1. Secrets Configuration

• SSH_PRIVATE_KEY: Private SSH key for authenticating with the target server.
• SSH_USERNAME: Username for SSH authentication on the target server.
• SERVER_HOST: Hostname or IP address of the target server.
• SSH_PORT (Optional): Port number for SSH connection (default: 22).
• GIT_PUSH_USER_NAME: Username for GitHub account used for pushing changes to the repository.
• GIT_PUSH_USER_EMAIL: Email address for GitHub account used for pushing changes to the repository.

2. Sudo Requirements

• The specified SSH user must have the following sudo capabilities (the workflow will copy this repo into the /tmp/server-stats directory):
  • Ability to execute the required Python scripts without password prompt (sudo privileges)

    python3 /tmp/server-stats/scripts/count-user-login-minutes-every-day.py
    python3 /tmp/server-stats/scripts/transfer-csv-to-readme.py

  • Ability to remove the temporary directory after execution:

    rm -rf /tmp/server-stats

3. Clear the data in ssh_login_minutes.csv, otherwise it will cause your data to contain existing data from this repository:

   echo "" > ssh_login_minutes.csv

4. The workflow will start automatically at 00:00 (UTC+8) either you can start it using git push or manually. The workflow that starts automatically will not conflict with data from other startup methods.

Other methods

• ac (accounting) can be used to count the login time of a user (with UTMP/WTMP logs enabled), but it does not distinguish between TTY and SSHD.