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fluent-logger-python | A structured logger for Fluentd

 by   fluent Python Version: Current License: Non-SPDX

 by   fluent Python Version: Current License: Non-SPDX

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kandi X-RAY | fluent-logger-python Summary

fluent-logger-python is a Python library typically used in Logging applications. fluent-logger-python has no bugs, it has no vulnerabilities, it has build file available and it has low support. However fluent-logger-python has a Non-SPDX License. You can install using 'pip install fluent-logger-python' or download it from GitHub, PyPI.
A structured logger for Fluentd (Python)
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kandi-support Support

  • fluent-logger-python has a low active ecosystem.
  • It has 370 star(s) with 124 fork(s). There are 23 watchers for this library.
  • It had no major release in the last 12 months.
  • There are 18 open issues and 49 have been closed. On average issues are closed in 105 days. There are 10 open pull requests and 0 closed requests.
  • It has a neutral sentiment in the developer community.
  • The latest version of fluent-logger-python is current.
fluent-logger-python Support
Best in #Python
Average in #Python
fluent-logger-python Support
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Average in #Python

quality kandi Quality

  • fluent-logger-python has 0 bugs and 0 code smells.
fluent-logger-python Quality
Best in #Python
Average in #Python
fluent-logger-python Quality
Best in #Python
Average in #Python

securitySecurity

  • fluent-logger-python has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
  • fluent-logger-python code analysis shows 0 unresolved vulnerabilities.
  • There are 0 security hotspots that need review.
fluent-logger-python Security
Best in #Python
Average in #Python
fluent-logger-python Security
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Average in #Python

license License

  • fluent-logger-python has a Non-SPDX License.
  • Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.
fluent-logger-python License
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fluent-logger-python License
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Average in #Python

buildReuse

  • fluent-logger-python releases are not available. You will need to build from source code and install.
  • Deployable package is available in PyPI.
  • Build file is available. You can build the component from source.
  • fluent-logger-python saves you 798 person hours of effort in developing the same functionality from scratch.
  • It has 1827 lines of code, 186 functions and 14 files.
  • It has medium code complexity. Code complexity directly impacts maintainability of the code.
fluent-logger-python Reuse
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fluent-logger-python Reuse
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Top functions reviewed by kandi - BETA

kandi has reviewed fluent-logger-python and discovered the below as its top functions. This is intended to give you an instant insight into fluent-logger-python implemented functionality, and help decide if they suit your requirements.

  • Emit a record
    • Send data
    • Calls the buffer overflow handler
    • Create a new EventTime instance
    • Create a msgpack packet
    • Emit an event with the given timestamp
    • Wait until the socket is closed
    • Send bytes to the queue
    • Try to connect to the socket
  • Format a record according to the format
    • Handle structuring message
    • Add dict to data
    • Format a record
  • Sends bytes from the queue
    • Close the socket
  • Returns the sender instance
    • Create a sender instance
  • Emit an event
    • Send data to the socket
  • Format a JSON message

    Get all kandi verified functions for this library.

    Get all kandi verified functions for this library.

    fluent-logger-python Key Features

    A structured logger for Fluentd (Python)

    How to log a error to Stackdriver Error Reporting via Stackdriver Logging in Python

    copy iconCopydownload iconDownload
    #Parse raw log entries to expose severity field so that
    #StackDriver log viewer can properly categorize (and so we can filter)
    <source>
      @type tail
      path /var/log/conductor
      pos_file /var/log/td-agent/conductor.pos
      format multiline
      format_firstline /\d{4}-\d{2}-\d{2} \d{2}:\d{2}:\d{2}/
      format1 /^(?<message>(?<time>\d{4}-\d{2}-\d{2} \d{2}:\d{2}:\d{2}),\d*\s*[a-zA-Z_]*\s*(?<severity>[A-Z]*).*)/
      read_from_head true
      multiline_flush_interval 3s
      tag conductor.app
    </source>
    
    #Add hostname field
    <filter conductor.app>
      @type record_transformer
      <record>
        hostname ${hostname}
      </record>
    </filter>
    
    #Filter and tag log entries of severity ERROR or CRITICAL
    <match conductor.app>
      @type rewrite_tag_filter
      rewriterule1 severity ERROR|CRITICAL conductor.err
      rewriterule2 severity .+ conductor.info
    </match>
    
    #Process entries with tracebacks differently than those without
    <match conductor.err>
      @type rewrite_tag_filter
      rewriterule1 message .*Traceback conductor.err.traceback
      rewriterule2 message .+ conductor.err.message
    </match>
    
    #Parse out the traceback
    <match conductor.err.traceback>
      @type parser
      key_name message
      format multiline
      format1 /^(?<message>(?<time>\d{4}-\d{2}-\d{2} \d{2}:\d{2}:\d{2}),\d*\s*(?<log>[a-zA-Z_]*)\s*(?<severity>[A-Z]*).*(?
    <traceback>Traceback .*))/
      tag conductor.err.traceback.report
    </match>
    
    #Format traceback reports
    <filter conductor.err.traceback.report>
      @type record_transformer
      <record>
          serviceContext {
            "service": "${record[\"log\"]}"
          }
          message ${record["traceback"]}
      </record>
      remove_keys traceback
    </filter>
    
    #Process errors that don't have tracebacks
    <match conductor.err.message>
      @type parser
      key_name message
      format multiline
      format1 /^(?<message>(?<time>\d{4}-\d{2}-\d{2} \d{2}:\d{2}:\d{2}),\d*\s*(?<log>[a-zA-Z_]*)\s*(?<severity>[A-Z]*):\s*(?<report>.*))/
      tag conductor.err.message.report
    </match>
    
    #For errors without tracebacks we have to stub out some fields that
    #error reporting requires, but we don't have
    <filter conductor.err.message.report>
      @type record_transformer
      <record>
          serviceContext {
            "service": "${record[\"log\"]}"
          }
          message ${record["report"]}
          reportLocation {
            "filePath": "None",
            "lineNumber": 0,
            "functionName": "None"
          }
      </record>
    </filter>
    
    #Send to StackDriver logging!
    <match conductor.**>
      @type google_cloud
      buffer_chunk_limit 2M
      flush_interval 5s
      max_retry_wait 300
      disable_retry_limit
      num_threads 8
    </match>
    
    # Build structured log messages as an object.
    global_log_fields = {}
    
    # Add log correlation to nest all log messages
    # beneath request log in Log Viewer.
    trace_header = request.headers.get('X-Cloud-Trace-Context')
    
    if trace_header and PROJECT:
        trace = trace_header.split('/')
        global_log_fields['logging.googleapis.com/trace'] = (
            f"projects/{PROJECT}/traces/{trace[0]}")
    
    # Complete a structured log entry.
    entry = dict(severity='NOTICE',
                 message='This is the default display field.',
                 # Log viewer accesses 'component' as jsonPayload.component'.
                 component='arbitrary-property',
                 **global_log_fields)
    
    print(json.dumps(entry))
    

    Community Discussions

    Trending Discussions on fluent-logger-python
    • How to log a error to Stackdriver Error Reporting via Stackdriver Logging in Python
    Trending Discussions on fluent-logger-python

    QUESTION

    How to log a error to Stackdriver Error Reporting via Stackdriver Logging in Python

    Asked 2019-Nov-15 at 18:26

    I've been using Stackdriver Logging for a long time and now I'd like to also take advantage of Error Reporting. I'd prefer to use Python's logging mechanism and scrape exceptions out of a log file if possible (for various reasons) rather than using the error_reporting library. That being said, the documentation is very confusing. For example the documentation says: https://cloud.google.com/error-reporting/docs/setup/compute-engine#log_exceptions

    First, install the fluent-logger-python library:

    sudo pip install google-cloud-error-reporting --upgrade

    which leads me to believe that google-cloud-error-reporting is a fork of or related to fluent-logger-python however, when I initialize google-cloud-error-reporting it directly calls out to the GCE metadata server rather than connecting to the local fluentd. Are these two unrelated packages or is the documentation wrong or misleading? If I send JSON formatted exceptions to fluentd or to a log file monitored by fluentd will error reporting understand them?

    Thanks for any clarifications

    ANSWER

    Answered 2017-Sep-06 at 22:20

    The documentation is wrong.
    TL;DR You have to output something that looks like https://cloud.google.com/error-reporting/docs/formatting-error-messages

    Here's my solution:

    #Parse raw log entries to expose severity field so that
    #StackDriver log viewer can properly categorize (and so we can filter)
    <source>
      @type tail
      path /var/log/conductor
      pos_file /var/log/td-agent/conductor.pos
      format multiline
      format_firstline /\d{4}-\d{2}-\d{2} \d{2}:\d{2}:\d{2}/
      format1 /^(?<message>(?<time>\d{4}-\d{2}-\d{2} \d{2}:\d{2}:\d{2}),\d*\s*[a-zA-Z_]*\s*(?<severity>[A-Z]*).*)/
      read_from_head true
      multiline_flush_interval 3s
      tag conductor.app
    </source>
    
    #Add hostname field
    <filter conductor.app>
      @type record_transformer
      <record>
        hostname ${hostname}
      </record>
    </filter>
    
    #Filter and tag log entries of severity ERROR or CRITICAL
    <match conductor.app>
      @type rewrite_tag_filter
      rewriterule1 severity ERROR|CRITICAL conductor.err
      rewriterule2 severity .+ conductor.info
    </match>
    
    #Process entries with tracebacks differently than those without
    <match conductor.err>
      @type rewrite_tag_filter
      rewriterule1 message .*Traceback conductor.err.traceback
      rewriterule2 message .+ conductor.err.message
    </match>
    
    #Parse out the traceback
    <match conductor.err.traceback>
      @type parser
      key_name message
      format multiline
      format1 /^(?<message>(?<time>\d{4}-\d{2}-\d{2} \d{2}:\d{2}:\d{2}),\d*\s*(?<log>[a-zA-Z_]*)\s*(?<severity>[A-Z]*).*(?
    <traceback>Traceback .*))/
      tag conductor.err.traceback.report
    </match>
    
    #Format traceback reports
    <filter conductor.err.traceback.report>
      @type record_transformer
      <record>
          serviceContext {
            "service": "${record[\"log\"]}"
          }
          message ${record["traceback"]}
      </record>
      remove_keys traceback
    </filter>
    
    #Process errors that don't have tracebacks
    <match conductor.err.message>
      @type parser
      key_name message
      format multiline
      format1 /^(?<message>(?<time>\d{4}-\d{2}-\d{2} \d{2}:\d{2}:\d{2}),\d*\s*(?<log>[a-zA-Z_]*)\s*(?<severity>[A-Z]*):\s*(?<report>.*))/
      tag conductor.err.message.report
    </match>
    
    #For errors without tracebacks we have to stub out some fields that
    #error reporting requires, but we don't have
    <filter conductor.err.message.report>
      @type record_transformer
      <record>
          serviceContext {
            "service": "${record[\"log\"]}"
          }
          message ${record["report"]}
          reportLocation {
            "filePath": "None",
            "lineNumber": 0,
            "functionName": "None"
          }
      </record>
    </filter>
    
    #Send to StackDriver logging!
    <match conductor.**>
      @type google_cloud
      buffer_chunk_limit 2M
      flush_interval 5s
      max_retry_wait 300
      disable_retry_limit
      num_threads 8
    </match>
    

    Source https://stackoverflow.com/questions/46009149

    Community Discussions, Code Snippets contain sources that include Stack Exchange Network

    Vulnerabilities

    No vulnerabilities reported

    Install fluent-logger-python

    You can install using 'pip install fluent-logger-python' or download it from GitHub, PyPI.
    You can use fluent-logger-python like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

    Support

    For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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