fixes for make_examples run

requirements.txt

@@ -8,3 +8,5 @@ lmfit >= 1.0.0
 matplotlib >= 3.1.2
 numpy >= 1.19.2 
 openpyxl >= 3.0.1 
+
+attr

src/raman_fitting/__init__.py

@@ -19,6 +19,7 @@
 
 
 from raman_fitting.config import filepath_settings
+from raman_fitting.config import logging_config
 
 # VERSION_PATH = config.PACKAGE_ROOT / 'VERSION.txt'
 # with open(VERSION_PATH, 'r') as version_file:
@@ -31,14 +32,31 @@
 
 # Configure logger for use in package
 logger = logging.getLogger(__package_name__)
-logger.setLevel(logging.DEBUG)
+
+log_format = (
+    "[%(asctime)s] — %(name)s — %(levelname)s —" "%(funcName)s:%(lineno)d—12s %(message)s")
+    # '[%(asctime)s] %(levelname)-8s %(name)-12s %(message)s')
+
+# Define basic configuration
+logging.basicConfig(
+    # Define logging level
+    level=logging.DEBUG,
+    # Define the format of log messages
+    format=log_format,
+    # Provide the filename to store the log messages
+    filename=('debug.log'),
+)
+
+formatter = logging.Formatter(log_format)
+# logger.setLevel(logging.DEBUG)
 # from raman_fitting.config import logging_config
 # logger.addHandler(logging_config.get_console_handler())
-logger.propagate = False
+# logger.propagate = False
 
 # create console handler
 ch = logging.StreamHandler(stream=sys.stdout)
 ch.setLevel(logging.INFO)
+ch.setFormatter(formatter)
 
 # add the handlers to the logger
 logger.addHandler(ch)

src/raman_fitting/config/__init__.py

@@ -0,0 +1 @@
+from . import logging_config

src/raman_fitting/config/logging_config.py

@@ -11,6 +11,22 @@
 )
 
 
+
+log_format = (
+    "[%(asctime)s] — %(name)s — %(levelname)s —" "%(funcName)s:%(lineno)d—12s %(message)s")
+    # '[%(asctime)s] %(levelname)-8s %(name)-12s %(message)s')
+
+# Define basic configuration
+logging.basicConfig(
+    # Define logging level
+    level=logging.DEBUG,
+    # Define the format of log messages
+    format=log_format,
+    # Provide the filename to store the log messages
+    filename=('debug.log'),
+)
+
+
 def get_console_handler():
     console_handler = logging.StreamHandler(sys.stdout)
     console_handler.setFormatter(FORMATTER)

src/raman_fitting/deconvolution_models/default_peaks/first_order_peaks.py

@@ -1,5 +1,4 @@
 """ Default peaks used for 1st order deconvolution"""
-import attr
 
 if __name__ == "__main__":
     from raman_fitting.deconvolution_models.default_peaks.base_peak import BasePeak

src/raman_fitting/exporting/exporter.py

@@ -25,11 +25,11 @@ def __init__(self, arg, raw_out=True, plot=True, model_names_prefix=["1st", "2nd
             self.delegator(arg)
         except ExporterError:
             logger.warning(
-                "f{self.__class__.__qualname__} failed export from {type(arg)}"
+                f"{self.__class__.__qualname__} failed export from {type(arg)}"
             )
         except Exception as e:
             logger.error(
-                "f{self.__class__.__qualname__} failed export with unexpected error {e}"
+                f"{self.__class__.__qualname__} failed export with unexpected error {e}"
             )
 
     # Exporting and Plotting