Send alert to telegram use telegram cli

Overview

Run standalone:

  1. Rename conf.yml.example to conf.yml
  2. Change block cli(Add your api_id and hash)
  3. Install requirements.txt
  4. Run python AlertManagerTG.py In first run, u need auth to telegram. After that u can move to other machine *.session file.

After that, u need configure your rules in alertmanager and prometheus

Alertmanager conf:

receivers:
- name: alertmanager-bot
  webhook_configs:
  - send_resolved: true
    url: 'http://addres-alert-manager-tg:9095/alerts'

Prometheus alerting rules(In each block rules in labels add phone). Example:

- name: ExporterDown
  rules:
  - alert: NodeDown
    expr: up{job='nodeexporter'} == 0
    for: 1m
    labels:
      severity: Error
      phone: '79991234567'
    annotations:
      summary: "Node Explorer instance {{$labels.instance}} down"
      description: "NodeExporterDown"

You can use several numbers, use separte | phone: '79991234567|79991234568'

Docker compose example:

  telegram-notif:
    image: imalkav/alertmanagertelegram
    container_name: telegram-notif
    hostname: telegram-notif
    restart: unless-stopped
    networks:
       - waiting_for_conteiner 
    volumes:
         - ./alertmanager-bot/conf.yml:/alertmanagertg/conf.yml
         - ./alertmanager-bot/work_account.session:/alertmanagertg/work_account.session
         - ./alertmanager-bot/templates:/alertmanagertg/templates
    ports:
         - 9095:9095
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  • Bump certifi from 2021.10.8 to 2022.12.7

    Bump certifi from 2021.10.8 to 2022.12.7

    Bumps certifi from 2021.10.8 to 2022.12.7.

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    opened by dependabot[bot] 1
  • Bump setuptools from 41.2.0 to 65.5.1

    Bump setuptools from 41.2.0 to 65.5.1

    Bumps setuptools from 41.2.0 to 65.5.1.

    Release notes

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    v65.5.1

    No release notes provided.

    v65.5.0

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    ... (truncated)

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    v65.5.1

    Misc ^^^^

    • #3638: Drop a test dependency on the mock package, always use :external+python:py:mod:unittest.mock -- by :user:hroncok
    • #3659: Fixed REDoS vector in package_index.

    v65.5.0

    Changes ^^^^^^^

    • #3624: Fixed editable install for multi-module/no-package src-layout projects.
    • #3626: Minor refactorings to support distutils using stdlib logging module.

    Documentation changes ^^^^^^^^^^^^^^^^^^^^^

    • #3419: Updated the example version numbers to be compliant with PEP-440 on the "Specifying Your Project’s Version" page of the user guide.

    Misc ^^^^

    • #3569: Improved information about conflicting entries in the current working directory and editable install (in documentation and as an informational warning).
    • #3576: Updated version of validate_pyproject.

    v65.4.1

    Misc ^^^^

    • #3613: Fixed encoding errors in expand.StaticModule when system default encoding doesn't match expectations for source files.
    • #3617: Merge with pypa/distutils@6852b20 including fix for pypa/distutils#181.

    v65.4.0

    Changes ^^^^^^^

    v65.3.0

    ... (truncated)

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  • Bump numpy from 1.19.5 to 1.22.0

    Bump numpy from 1.19.5 to 1.22.0

    Bumps numpy from 1.19.5 to 1.22.0.

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    v1.22.0

    NumPy 1.22.0 Release Notes

    NumPy 1.22.0 is a big release featuring the work of 153 contributors spread over 609 pull requests. There have been many improvements, highlights are:

    • Annotations of the main namespace are essentially complete. Upstream is a moving target, so there will likely be further improvements, but the major work is done. This is probably the most user visible enhancement in this release.
    • A preliminary version of the proposed Array-API is provided. This is a step in creating a standard collection of functions that can be used across application such as CuPy and JAX.
    • NumPy now has a DLPack backend. DLPack provides a common interchange format for array (tensor) data.
    • New methods for quantile, percentile, and related functions. The new methods provide a complete set of the methods commonly found in the literature.
    • A new configurable allocator for use by downstream projects.

    These are in addition to the ongoing work to provide SIMD support for commonly used functions, improvements to F2PY, and better documentation.

    The Python versions supported in this release are 3.8-3.10, Python 3.7 has been dropped. Note that 32 bit wheels are only provided for Python 3.8 and 3.9 on Windows, all other wheels are 64 bits on account of Ubuntu, Fedora, and other Linux distributions dropping 32 bit support. All 64 bit wheels are also linked with 64 bit integer OpenBLAS, which should fix the occasional problems encountered by folks using truly huge arrays.

    Expired deprecations

    Deprecated numeric style dtype strings have been removed

    Using the strings "Bytes0", "Datetime64", "Str0", "Uint32", and "Uint64" as a dtype will now raise a TypeError.

    (gh-19539)

    Expired deprecations for loads, ndfromtxt, and mafromtxt in npyio

    numpy.loads was deprecated in v1.15, with the recommendation that users use pickle.loads instead. ndfromtxt and mafromtxt were both deprecated in v1.17 - users should use numpy.genfromtxt instead with the appropriate value for the usemask parameter.

    (gh-19615)

    ... (truncated)

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Owner
Eugene Arkharov
Eugene Arkharov
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