span-trace

• see context info in Github Repo

Installation

pip install span-tree

Goals

• Never have to look at log files again!
• Make error debugging easy by capturing context around errors and traces instead of only a traceback and locals
• Make health monitoring happening automatically
• Make performance monitoring easy by automatically tracking and report slow spans
• Support see once, annotate, and forget about it (instead of re-labeling the same error over and over...)

Features in library

• trace-traces instead of flat log messages
  • a trace trace can have multiple "spans" as nodes
  • on each "node"
    • file_location
    • start and end timestamps
    • status: started|succeeded|failed
    • optional fields:
      • exit_error: if something fails without except
      • handled_errors: if we have errors caught with except and logged
      • level
  • each trace use a ksuid to ensure it is unique
  • each span has a name which is explicitly set or based on function name/call-context
  • traces are linked together when a new thread/task is started from an existing trace
• Smart printing
  • to terminal when running on localhost
  • only json when running on cloud/only normal logging no stdout/stderr?
  • smart at grouping together tasks and flushing before exit
• "test-mode": record all traces instead of just printing

How to use the library

Basically, an Enhanced stdlib logger:

from span_tree import get_logger

logger = get_logger(__name__)
logger.log(level,
           msg)  # level=debug|info|warning|error|critical, can also use `logger.info` logs will be attached to current span
logger(name: str, force_new_trace: bool = False, ** kwargs) -> `ContextManager[Span]`  # to start a new span/trace
logger.log_extra(msg: str = "", level: int = INFO, ** kwargs)  # to add attributes to span