update log2csv

.gitignore

@@ -1 +1,3 @@
+__pycache__/
+.pyc
 .DS_Store

lib_gist/python_pixmicat_log2csv.md

@@ -1,5 +1,5 @@
 ## Processing Pixmicat Logfile
-Convert Pixmicat! .logf to .csv format.
+Convert Pixmicat! log file into CSV format.
 ### Import Module
 ```python
 # -*- coding: utf-8 -*-
@@ -10,8 +10,8 @@ import pandas as pd
 ```python
 def filename_check(list_result):
     # String "pixmicat_log" setting as you logfile configuration.
-    if list_result.find("pixmicat_log") != -1:
-        return True
+    if list_result.find("audit") != -1:
+        return True 
     else:
         return False
 ```
@@ -21,12 +21,12 @@ def read_logfile(input_filename):
     try:
         # Trans to pandas dataframe
         # Header 'E-Series' is contain extra
-        header = ["IP","TIME","ACTION","CONTENT","E1","E2","E3","E4","E5","E6","E7","E8","E9","E10"]
-        log_file = pd.read_csv(input_filename, encoding="utf-8", header=None, sep="[[\]]", names=header, engine="python")
+        header = ["IP","TIME","ACTION","CONTENT","E1","E2","E3","E4","E5","E6","E7","E8","E9","E10","E11","EX12"]
+        log_file = pd.read_csv(input_filename, encoding="utf-8", header=None, sep="[\[\]]", names=header, engine="python")
         # Merge
         log_file["CONTENTS"] = log_file[log_file.columns[3:]].apply(lambda x: " ".join(x.dropna().astype(str)), axis=1)
         # Drop
-        log_file= log_file.drop(columns=["CONTENT","E1","E2","E3","E4","E5","E6","E7","E8","E9","E10"])
+        log_file= log_file.drop(columns=["CONTENT","E1","E2","E3","E4","E5","E6","E7","E8","E9","E10","E11","EX12"])
         # Filename
         if input_filename.find("txt") == -1:
             output_filename = input_filename.replace("ht","").replace("_audit","") + (".csv")
@@ -37,18 +37,15 @@ def read_logfile(input_filename):
         log_file.to_csv(output_filename, encoding="utf_8_sig", index=False)
         # Print Info when translation complete
         print([input_filename, "Translation Complete"])
-        return True
-    # Error handling
+    # Error handling 
     except FileNotFoundError:
         print([input_filename, "SKip"])
-        return False
     except Exception as error:
         print([input_filename, error])
-        return False
 ```
 ### Using
 ```python
-# Scanning local folder, result as list
+# Ask list
 list_asking = subprocess.Popen(["ls", "-ls"], stdout=subprocess.PIPE)
 # AWK filter
 filter_awk = ["awk", "{print $10}"]
@@ -71,4 +68,19 @@ for input_filename in input_filenames:
 ```python
 input_filename = input()
 read_logfile(input_filename)
+```
+
+### FutureWarning issue
+You may get this warning
+```
+/opt/homebrew/lib/python3.9/site-packages/pandas/io/parsers/python_parser.py:222: FutureWarning: Possible nested set at position 1
+  pat = re.compile(sep)
+```
+Fix this
+```python
+log_file = pd.read_csv(input_filename, encoding="utf-8", header=None, sep="[[\]]", names=header, engine="python")
+```
+To this
+```python
+log_file = pd.read_csv(input_filename, encoding="utf-8", header=None, sep="[\[\]]", names=header, engine="python")
 ```