[minor] fixed some typos and missing import
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34
README.md
34
README.md
@ -3,7 +3,7 @@
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version: 0.2
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survBot is a small program used to track station quality channels of DSEBRA stations via PowBox output over SOH channels
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by analysing contents of a Seiscomp3 datapath.
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by analyzing contents of a Seiscomp data archive.
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## Requirements
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@ -60,33 +60,33 @@ The directory `/path/to/conf-dir` should contain the `parameters.yaml` file, and
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The e-mail server settings can be configured in the `parameters.yaml` file. The following settings are available:
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- `mailserver`: the address of the mail server
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- `auth_type`: the authentication type for the mail server (`None`, `SSL`, `TLS`)
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- `port`: the port of the mail server
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- `user`: the username for the mail server (if required)
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- `password`: the password for the mail server (if required)
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* `mailserver`: the address of the mail server
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* `auth_type`: the authentication type for the mail server (`None`, `SSL`, `TLS`)
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* `port`: the port of the mail server
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* `user`: the username for the mail server (if required)
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* `password`: the password for the mail server (if required)
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The `user` and `password` fields are optional, and can be left empty if the mail server does not require authentication. The `auth_type` field can be set to `None` if no authentication is required, `SSL` if the mail server requires SSL authentication, or `TLS` if the mail server requires TLS authentication. If the `user` or `password` fileds are set to `Docker` ore `ENV` the program will try to read the values from the docker secrets `mail_user` and `mail_password` or environment variables `MAIL_USER` and `MAIL_PASSWORD` respectively. Docker secrets are only available in Docker Swarm mode, i.e. if the program is run as a service.
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The `user` and `password` fields are optional, and can be left empty if the mail server does not require authentication. The `auth_type` field can be set to `None` if no authentication is required, `SSL` if the mail server requires SSL authentication, or `TLS` if the mail server requires TLS authentication. If the `user` or `password` fields are set to `Docker` ore `ENV` the program will try to read the values from the docker secrets `mail_user` and `mail_password` or environment variables `MAIL_USER` and `MAIL_PASSWORD` respectively. Docker secrets are only available in Docker Swarm mode, i.e. if the program is run as a service.
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## Version Changes
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### 0.2
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- surveillance of mass, clock and gaps
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- individual mailing lists for different stations
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- html mail with recent status information
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- updated web page design
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- restructured parameter file
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- recognize if PBox is disconnected
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* surveillance of mass, clock and gaps
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* individual mailing lists for different stations
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* html mail with recent status information
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* updated web page design
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* restructured parameter file
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* recognize if PBox is disconnected
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### 0.2-docker
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- added Dockerfile for easy deployment
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- added more settings for connection to a mail server
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* added Dockerfile for easy deployment
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* added more settings for connection to a mail server
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## Staff
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Original author: M.Paffrath (marcel.paffrath@rub.de)
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Contributions by: Kasper D. Fischer (kasper.fischer@rub.de)
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Original author: M.Paffrath (<marcel.paffrath@rub.de>)
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Contributions: Kasper D. Fischer (<kasper.fischer@rub.de>)
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Jan 2025
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18
survBot.py
18
survBot.py
@ -234,7 +234,7 @@ class SurveillanceBot(object):
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self.gaps = self.dataStream.get_gaps(min_gap=self.parameters['THRESHOLDS'].get('min_gap'))
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self.dataStream.merge()
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# organise data in dictionary with key for each station
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# organize data in dictionary with key for each station
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for trace in self.dataStream:
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nwst_id = get_nwst_id(trace)
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if not nwst_id in self.data.keys():
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@ -351,7 +351,7 @@ class SurveillanceBot(object):
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first_exec = False
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def console_print(self, itemlist, str_len=21, sep='|', seplen=3):
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assert len(sep) <= seplen, f'Make sure seperator has less than {seplen} characters'
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assert len(sep) <= seplen, f'Make sure separator has less than {seplen} characters'
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sl = sep.ljust(seplen)
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sr = sep.rjust(seplen)
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string = sl
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@ -1299,7 +1299,7 @@ class StationQC(object):
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# Warn in case of voltage under OK-level (1V)
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if len(under) > 0:
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# try calculate number of occurences from gaps between indices
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# try calculate number of occurrences from gaps between indices
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n_occurrences = len(np.where(np.diff(under) > 1)[0]) + 1
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voltage_dict[-1] = under
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self.status_other(detailed_message=f'Trace {trace.get_id()}: '
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@ -1395,15 +1395,15 @@ class StatusOK(Status):
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class StatusWarn(Status):
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def __init__(self, message='WARN', count=1, last_occurence=None, detailed_messages=None, show_count=False):
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super(StatusWarn, self).__init__(message=message, count=count, last_occurrence=last_occurence,
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def __init__(self, message='WARN', count=1, last_occurrence=None, detailed_messages=None, show_count=False):
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super(StatusWarn, self).__init__(message=message, count=count, last_occurrence=last_occurrence,
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detailed_messages=detailed_messages, show_count=show_count)
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self.set_warn()
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class StatusError(Status):
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def __init__(self, message='FAIL', count=1, last_occurence=None, detailed_messages=None, show_count=False):
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super(StatusError, self).__init__(message=message, count=count, last_occurrence=last_occurence,
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def __init__(self, message='FAIL', count=1, last_occurrence=None, detailed_messages=None, show_count=False):
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super(StatusError, self).__init__(message=message, count=count, last_occurrence=last_occurrence,
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detailed_messages=detailed_messages, show_count=show_count)
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self.set_error()
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self.default_message = message
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@ -1420,8 +1420,8 @@ class StatusError(Status):
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class StatusOther(Status):
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def __init__(self, messages=None, count=1, last_occurence=None, detailed_messages=None):
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super(StatusOther, self).__init__(count=count, last_occurrence=last_occurence,
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def __init__(self, messages=None, count=1, last_occurrence=None, detailed_messages=None):
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super(StatusOther, self).__init__(count=count, last_occurrence=last_occurrence,
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detailed_messages=detailed_messages)
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if messages is None:
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messages = []
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3
utils.py
3
utils.py
@ -6,6 +6,7 @@ import logging
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import matplotlib
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import numpy as np
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import smtplib
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import os
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from obspy import Stream
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@ -174,7 +175,7 @@ def transform_trace(data, transf):
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elif operator_str == '/':
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data = data / val
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else:
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raise IOError(f'Unknown arithmethic operator string: {operator_str}')
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raise IOError(f'Unknown arithmetic operator string: {operator_str}')
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return data
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