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    <p>A couple of things you can do:</p> <ul> <li>Use functions (they will let you break up units of work into easily-understandable pieces)</li> <li>Use <a href="http://docs.python.org/2/library/re.html" rel="nofollow">regular expressions</a> (they will greatly simplify your pattern matching)</li> <li>Use <a href="http://docs.python.org/2/tutorial/classes.html#generators" rel="nofollow">generators</a> (they will help you do everything in a single pass)</li> </ul> <p>Here is some slightly re-worked code with comments to get you started:</p> <pre><code>import collections import re DATA_LINE = re.compile("(\d{8})=(.*)") DATE = re.compile(""" (?P&lt;month&gt;\w+) # Match one or more alpha-numeric characters # (store match as "month") \s+ # followed by one or more whitespace characters (?P&lt;day&gt;\d{1,2}) # followed by one or two numbers # (store match as "day") \s+ # followed by one or more whitespace characters (?P&lt;time&gt;\d{2}:\d{2}:\d{2}) # followed by two numbers, a colon, two numbers, # another colon, and two more numbers # (store match as "time") \s+ # followed by one or more whitespace characters (?P&lt;year&gt;\d{4}) # followed by for numbers # (store match as "year") """, re.VERBOSE) def interesting_lines(logfile_path): """Yield lines of interest in tuples of ``(processed_line, is_date)``.""" # First, ensure that we will close the file # no matter what happens with open(logfile_path) as file_object: # Loop over all the lines (files are iterators too) for line in file_object: data = DATA_LINE.match(line) if data: # If this line has data, get the matched data # (the number before the equals sign and everything after it) # pass it on as a list of strings with a flag that marks # this lineas a data line yield ",".join(data.groups()).split(","), False elif DATE.search(line): # Otherwise, if the line is the date # pass on the re-formatted string and a flag that marks # this line as the date line yield datetime.strptime(line, "%a %B %d %H:%M:%S %Y") \ .strftime("%M/%d/%Y %H:%M:%S"), True def combine_with_date(lines): buffer = collections.deque() for line, is_date in lines: buffer.append(line) if is_date: current_date = line for line in buffer: line.append(current_date) yield line buffer.clear() def write_to_file(iterable_of_lines): # TODO: Create CSV writer with pipe-delimited dialect # and write to file if __name__ == "__main__": file_path = raw_input("Please provide a file path:") line_generator = interesting_lines(file_path) processed_lines = combine_with_date(line_generator) write_to_file(processed_lines) </code></pre>
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