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61 lines
3.1 KiB
ReStructuredText
61 lines
3.1 KiB
ReStructuredText
.. _fetch:
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Fetch
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=====
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The fetch mode is used to get and share a quick look of a machine using the
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``fetch`` option. In this mode, current stats are displayed on the console in
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a fancy way.
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.. code-block:: console
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$ glances --fetch
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Results look like this:
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.. image:: _static/screenshot-fetch.png
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It is also possible to use a custom template with the ``--fetch-template </path/to/template.jinja>`` option.
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The format of the template is based on the Jinja2 templating engine and can use all the stats
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available in Glances through the ``gl`` variable (an instance of the :ref:`Glances Python API<api>`).
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For example, the default template is define as:
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.. code-block:: jinja
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━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
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✨ {{ gl.system['hostname'] }}{{ ' - ' + gl.ip['address'] if gl.ip['address'] else '' }}
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⚙️ {{ gl.system['hr_name'] }} | Uptime: {{ gl.uptime }}
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💡 LOAD {{ '%0.2f'| format(gl.load['min1']) }} |\
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{{ '%0.2f'| format(gl.load['min5']) }} |\
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{{ '%0.2f'| format(gl.load['min15']) }}
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⚡ CPU {{ gl.bar(gl.cpu['total']) }} {{ gl.cpu['total'] }}% of {{ gl.core['log'] }} cores
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🧠 MEM {{ gl.bar(gl.mem['percent']) }} {{ gl.mem['percent'] }}% ({{ gl.auto_unit(gl.mem['used']) }} /\
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{{ gl.auto_unit(gl.mem['total']) }})
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{% for fs in gl.fs.keys() %}\
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💾 {% if loop.index == 1 %}DISK{% else %} {% endif %} {{ gl.bar(gl.fs[fs]['percent']) }} {{ gl.fs[fs]['percent'] }}% ({{ gl.auto_unit(gl.fs[fs]['used']) }} /\
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{{ gl.auto_unit(gl.fs[fs]['size']) }}) for {{ fs }}
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{% endfor %}\
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{% for net in gl.network.keys() %}\
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📡 {% if loop.index == 1 %}NET{% else %} {% endif %} ↓ {{ gl.auto_unit(gl.network[net]['bytes_recv_rate_per_sec']) }}b/s \
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↑ {{ gl.auto_unit(gl.network[net]['bytes_sent_rate_per_sec']) }}b/s for {{ net }}
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{% endfor %}\
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🔥 TOP PROCESS by CPU
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{% for process in gl.top_process() %}\
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{{ loop.index }}️⃣ {{ process['name'][:20] }}{{ ' ' * (20 - process['name'][:20] | length) }}\
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⚡ {{ process['cpu_percent'] }}% CPU\
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{{ ' ' * (8 - (gl.auto_unit(process['cpu_percent']) | length)) }}\
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🧠 {{ gl.auto_unit(process['memory_info']['rss']) }}B MEM
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{% endfor %}\
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🔥 TOP PROCESS by MEM
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{% for process in gl.top_process(sorted_by='memory_percent', sorted_by_secondary='cpu_percent') %}\
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{{ loop.index }}️⃣ {{ process['name'][:20] }}{{ ' ' * (20 - process['name'][:20] | length) }}\
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🧠 {{ gl.auto_unit(process['memory_info']['rss']) }}B MEM\
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{{ ' ' * (7 - (gl.auto_unit(process['memory_info']['rss']) | length)) }}\
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⚡ {{ process['cpu_percent'] }}% CPU
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{% endfor %}\
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━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
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