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nicolargo / glances

Glances an Eye on your system. A top/htop alternative for GNU/Linux, BSD, Mac OS and Windows operating systems.
http://nicolargo.github.io/glances/
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ModuleNotFoundError when using `--export influxdb2` in with latest-full docker image #2665

Closed bdcarr closed 8 months ago

bdcarr commented 8 months ago

Describe the bug When you try to run the latest-full glances docker image in client mode with --export influxdb2, you get this error and the container exits:

Error while initializing the now plugin ('NoneType' object has no attribute 'strftime_format')
Error while initializing the system plugin ('NoneType' object has no attribute 'time')
Error while initializing the processlist plugin ('NoneType' object has no attribute 'sort_processes_key')
Error while initializing the sensors plugin ('NoneType' object has no attribute 'time')
Traceback (most recent call last):
  File "<frozen runpy>", line 198, in _run_module_as_main
  File "<frozen runpy>", line 88, in _run_code
  File "/app/glances/__main__.py", line 18, in <module>
    glances.main()
  File "/app/glances/__init__.py", line 185, in main
    start(config=core.get_config(), args=core.get_args())
  File "/app/glances/__init__.py", line 131, in start
    mode.serve_forever()
  File "/app/glances/client.py", line 234, in serve_forever
    if not self.login():
           ^^^^^^^^^^^^
  File "/app/glances/client.py", line 163, in login
    if not self._login_snmp():
           ^^^^^^^^^^^^^^^^^^
  File "/app/glances/client.py", line 142, in _login_snmp
    self.stats = GlancesStatsClientSNMP(config=self.config, args=self.args)
                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/app/glances/stats_client_snmp.py", line 47, in __init__
    self.load_modules(self.args)
  File "/app/glances/stats.py", line 90, in load_modules
    self.load_exports(args=args)
  File "/app/glances/stats.py", line 162, in load_exports
    export_module = __import__(self._exports_all[export_name])
                    ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
ModuleNotFoundError: No module named 'glances_influxdb2'

To Reproduce I've got a docker-compose with two instances of glances running, a server and client. I can supply it if you want. But the issue can be reproduced with a single run command:

docker run -e GLANCES_OPT="--client localhost --export influxdb2" nicolargo/glances:latest-full

Expected behavior The container starts up and begins exporting data to the influxdb defined in the config file (or with the above one-line example, we at least don't get a ModuleNotFoundError).

Environement (please complete the following information)

I grabbed this from the other container, which doesn't have the --export flag and so is able to start:

click to expand ``` =============================================================================== Glances 3.4.0.3 (/app/glances/__init__.py) Python 3.11.6 (/venv/bin/python3) PsUtil 5.9.7 (/venv/lib/python3.11/site-packages/psutil/__init__.py) =============================================================================== alert [OK] 0.00003s [] amps [OK] 0.00017s [] cloud [OK] 0.00012s {} connections [OK] 0.16311s {'ESTABLISHED': 11, 'LISTEN': 69, 'SYN_RECV': 0, 'SYN_SENT': 0, 'initiated': 0, 'net_connections_enabled': True, 'nf_conntrack_count': 632.0, 'nf_conntrack_enabled': True, 'nf_conntrack_max': 65536.0, 'nf_conntrack_percent': 0.96435546875, 'terminated': 0} containers [OK] 0.38540s key=name [{'Command': ['/init'], 'Created': '2024-01-12T13:51:39.626080575Z', 'Id': '93e9b05e76382a98a14772e1cfc3edc579f2b7b60cf1f644bf9a473eacbe1885', 'Image': ['lscr.io/linuxserver/bazarr:latest'], 'Status': 'running', 'Uptime': '3 hours', 'cpu_percent': 0.204079822616408, 'engine': 'docker', 'io_r': 0, 'io_w': 0, 'key': 'name', 'memory_usage': None, 'name': 'bazarr', 'network_rx': 211, 'network_tx': 234}, ...] core [OK] 0.00203s {'log': 4, 'phys': 4} cpu [OK] 0.00129s {'cpucore': 4, 'ctx_switches': 25734, 'guest': 0.0, 'guest_nice': 0.0, 'idle': 81.4, 'interrupts': 13638, 'iowait': 0.2, 'irq': 0.0, 'nice': 0.0, 'soft_interrupts': 3743, 'softirq': 0.1, 'steal': 0.0, 'syscalls': 0, 'system': 6.4, 'time_since_update': 3.1857519149780273, 'total': 21.1, 'user': 11.8} diskio [OK] 0.00217s key=disk_name [{'disk_name': 'loop0', 'key': 'disk_name', 'read_bytes': 0, 'read_count': 0, 'time_since_update': 2.5759873390197754, 'write_bytes': 0, 'write_count': 0}, ...] folders [OK] 0.00013s [] fs [OK] 0.00174s key=mnt_point [{'device_name': '/dev/mmcblk0p2', 'free': 94169124864, 'fs_type': 'ext4', 'key': 'mnt_point', 'mnt_point': '/etc/os-release', 'percent': 20.8, 'size': 125229076480, 'used': 24678719488}, ...] gpu [OK] 0.00012s [] help [OK] 0.00001s None ip [OK] 0.00241s {'address': '***', 'gateway': '***', 'mask': '***', 'mask_cidr': '***', 'public_address': '***', 'public_info_human': '***'} irq [OK] 0.00161s key=irq_line [{'irq_line': '11_arch_timer', 'irq_rate': 8948, 'key': 'irq_line', 'time_since_update': 3.1986007690429688}, ...] load [OK] 0.00013s {'cpucore': 4, 'min1': 0.69384765625, 'min15': 0.88525390625, 'min5': 0.884765625} mem [OK] 0.00080s {'active': 1264648192, 'available': 1797869568, 'buffers': 18862080, 'cached': 1800753152, 'free': 1797869568, 'inactive': 1535139840, 'percent': 54.8, 'shared': 65761280, 'total': 3977527296, 'used': 2179657728} memswap [OK] 0.00107s {'free': 1716133888, 'percent': 20.1, 'sin': 148045824, 'sout': 565411840, 'time_since_update': 4.142237424850464, 'total': 2147479552, 'used': 431345664} network [OK] 0.00638s key=interface_name [{'alias': None, 'cumulative_cx': 234142, 'cumulative_rx': 117071, 'cumulative_tx': 117071, 'cx': 0, 'interface_name': 'lo', 'is_up': True, 'key': 'interface_name', 'rx': 0, 'speed': 0, 'time_since_update': 2.586322546005249, 'tx': 0}, ...] now [OK] 0.00011s '2024-01-26 20:20:30 AEDT' percpu [OK] 0.00122s key=cpu_number [{'cpu_number': 0, 'guest': 0.0, 'guest_nice': 0.0, 'idle': 88.0, 'iowait': 0.2, 'irq': 0.0, 'key': 'cpu_number', 'nice': 0.0, 'softirq': 0.2, 'steal': 0.0, 'system': 4.6, 'total': 12.0, 'user': 6.8}, ...] ports [OK] 0.00095s [] processcount [OK] 0.71337s {'pid_max': 0, 'running': 1, 'sleeping': 480, 'thread': 1954, 'total': 551} processlist [OK] 0.00191s key=pid [{'cmdline': ['/venv/bin/python3', '-m', 'glances', '--issue'], 'cpu_percent': 45.4, 'cpu_times': pcputimes(user=3.48, system=1.56, children_user=0.31, children_system=0.73, iowait=0.0), 'gids': pgids(real=0, effective=0, saved=0), 'io_counters': [1826816, 143360, 1814528, 135168, 1], 'key': 'pid', 'memory_info': pmem(rss=46878720, vms=109756416, shared=12713984, text=4096, lib=0, data=89169920, dirty=0), 'memory_percent': 1.1785895233740717, 'name': 'python3', 'nice': 0, 'num_threads': 26, 'pid': 170494, 'status': 'R', 'time_since_update': 4.138080596923828, 'username': 'root'}, ...] psutilversion [OK] 0.00011s (5, 9, 7) quicklook [OK] 0.00208s {'cpu': 21.1, 'cpu_hz': 1500000000.0, 'cpu_hz_current': 1500000000.0, 'cpu_name': '8', 'mem': 54.8, 'percpu': [{...}, {...}, {...}, {...}], 'swap': 20.1} raid [OK] 0.00037s {} sensors [OK] 0.00002s key=label [{'critical': 110, 'key': 'label', 'label': 'cpu_thermal 0', 'type': 'temperature_core', 'unit': 'C', 'value': 58, 'warning': 110}, ...] smart [OK] 1.08650s [{'1': {...}, '10': {...}, '12': {...}, '192': {...}, '193': {...}, '194': {...}, '196': {...}, '197': {...}, '198': {...}, '199': {...}, '2': {...}, '3': {...}, '4': {...}, '5': {...}, '7': {...}, '8': {...}, '9': {...}, 'DeviceName': 'sda WDC WD80EDAZ-11TA3A0'}] system [OK] 0.00009s {'hostname': 'raspberrypi', 'hr_name': 'Debian GNU/Linux 12 64bit', 'linux_distro': 'Debian GNU/Linux 12', 'os_name': 'Linux', 'os_version': '6.1.0-rpi7-rpi-v8', 'platform': '64bit'} uptime [OK] 0.00073s {'seconds': 13655} wifi [OK] 0.00013s [] =============================================================================== Total time to update all stats: 2.40434s =============================================================================== ```
nicolargo commented 8 months ago

Hi @bdcarr

why do you run two Glances instances (server and client) ?

To export to InfluxDB, one single standalone instance should make the job.

Nicolas

bdcarr commented 8 months ago

Hi mate, it says export is only available in standalone or client mode. Standalone doesn't seem to work in docker:

Traceback (most recent call last):
  File "<frozen runpy>", line 198, in _run_module_as_main
  File "<frozen runpy>", line 88, in _run_code
  File "/app/glances/__main__.py", line 18, in <module>
    glances.main()
  File "/app/glances/__init__.py", line 185, in main
    start(config=core.get_config(), args=core.get_args())
  File "/app/glances/__init__.py", line 108, in start
    mode = GlancesMode(config=config, args=args)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/app/glances/standalone.py", line 106, in __init__
    self.screen = GlancesCursesStandalone(config=config, args=args)
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/app/glances/outputs/glances_curses.py", line 143, in __init__
    self.screen = curses.initscr()
                  ^^^^^^^^^^^^^^^^
  File "/usr/lib/python3.11/curses/__init__.py", line 29, in initscr
    setupterm(term=_os.environ.get("TERM", "unknown"),
_curses.error: setupterm: could not find terminal
bdcarr commented 8 months ago

I'd be stoked to be able to do this with one instance, as I'm running it on a Pi so resources are a bit precious.

nicolargo commented 8 months ago

Add the "-it" option to your Docker run command line in order to allow the local console from the container.

bdcarr commented 8 months ago

Oh beauty, I thought I already tried that but must've mucked it up. Adding interactive: true to my docker-compose has made it work in standalone mode. Thanks, that solves my use case at least 🙌