This commit is contained in:
Joaquin Gottlebe
2025-07-30 15:57:48 +02:00
parent e49fcfac46
commit a639c34cee
273 changed files with 20151 additions and 0 deletions
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"""
Logging setup and helper functions for processing events.
Configures logging to file and console, with functions
to log start, completion, and saving steps of processing.
Containing logs:
- processing
- processed
- read
- read error
- saved
- saved error
- parameter
- intensive
"""
import logging
logging.basicConfig(
level=logging.INFO,
format="%(asctime)s - %(levelname)s - %(message)s",
handlers=[
logging.FileHandler("log.txt"),
logging.StreamHandler()
]
)
def log_processing(tool_name):
"""
Logs the start of processing for a given tool.
Args:
tool_name (str): Name of the tool being processed.
Returns:
None
"""
logging.info("Processing %s:", tool_name)
def log_processed(tool_name):
"""
Logs the successful completion of processing for a given tool.
Args:
tool_name (str): Name of the tool that has been processed.
Returns:
None
"""
logging.info("Processed: %s", tool_name)
def log_read(path):
"""
Logs the reading of a file from a given path.
Arguments:
path (str): Path to file which were read.
Returns:
None
"""
logging.info("Read: %s", path)
def log_read_error(path):
"""
Logs the reading error of a given path.
Arguments:
path (str): Path were the file should be read.
Returns:
None
"""
logging.error("Failed to read: %s", path)
def log_saved(path):
"""
Logs the saving of output to a given path.
Args:
path (str): Path where the output was saved.
Returns:
None
"""
logging.info("Saved: %s", path)
def log_saved_error(path):
"""
Logs the saving error of output to a given path.
Arguments:
path (str): Path were the output should be saved.
Returns:
None
"""
logging.error("Failed to save: %s", path)
def log_parameter(parameter_name, parameter_value):
"""
Logs a parameter.
Arguments:
parameter_name (str): Parameter name with which the tool is called.
parameter_value (str): Parameter value with which the tool is called.
Returns:
None
"""
logging.info("Tool runs with %s: %s", parameter_name, parameter_value)
def log_intensive():
"""
Logs warning for resource intensiveness.
Arguments:
None
Returns:
None
"""
logging.warning("Tool is resource intensive")