Anorthosis Famagusta FC: Champions of Cypriot League - Squad, Achievements & Stats

[11]: input_file = sys.argv[1]
[12]: output_dir = sys.argv[2]

[13]: if not os.path.exists(output_dir):
[14]: print >>sys.stderr, ‘Output directory does not exist:’, output_dir
[15]: sys.exit(1)

[16]: prefix = sys.argv[-1]

[17]: return input_file, output_dir, prefix

[18]: def parse_file(input_file):

[19]: # open file

[20]: f = open(input_file)

f.readline()

f.readline()

f.readline()

header_line = f.readline().rstrip(‘n’)

***** Tag Data *****
ID: 4
description: Complex nested parsing logic within `parse_file` function.
start line: 18
end line: 56
dependencies:
– type: Function
name: parse_file
start line: 18
end line: 56
context description: The function contains deeply nested loops or conditions that process
lines from an input file using complex logic.
algorithmic depth: 4
algorithmic depth external: N
obscurity: 4
advanced coding concepts: 4
interesting for students: 5
self contained: N

************
## Challenging aspects

### Challenging aspects in above code:
The provided snippet showcases several intricacies that add layers of complexity:

1. **Deeply Nested Structures**: The code features deeply nested loops or conditions which can make it challenging to follow the logical flow.

2. **File Handling**: The function opens a file but doesn’t close it properly or handle exceptions that might occur during file operations (e.g., file not found).

3. **Complex Logic Processing**: There are placeholders indicating complex processing logic (`f.readline()`), which suggests reading lines from a file but does not specify what happens after reading.

4. **Redundant Code Sections**: There are repeated patterns (`f.readline()`) without clear purpose or differentiation between them.

5. **Lack of Contextual Comments**: Sparse comments make understanding the intention behind certain blocks difficult.

6. **Potential Infinite Loops**: The structure hints at potential infinite loops due to repeated patterns without termination conditions.

### Extension:
To extend these complexities uniquely:

1. **Dynamic File Handling**: Handle files being added dynamically to a directory while processing existing files.

2. **Complex Data Parsing**: Parse files containing references/pointers to other files that need recursive processing.

3. **Conditional Processing Based on Content**: Implement conditional logic based on specific content read from each line.

4. **Error Handling Mechanisms**: Incorporate comprehensive error handling mechanisms specific to different stages of file processing.

## Exercise
### Problem Statement:
You are tasked with creating an advanced file parser function inspired by [SNIPPET]. Your function should process all text files within a specified directory recursively while handling new files added during execution dynamically.

**Requirements**:

1. Write a function `parse_directory(directory_path)` that:
– Recursively processes all text files within `directory_path`.
– Dynamically handles new files added to any subdirectory while processing is ongoing.
– Reads each line of every file using complex parsing logic (details below).
– If any line contains a reference to another file (indicated by lines starting with “REF:”), recursively process this referenced file regardless of its location.
– Implements robust error handling for common issues like missing files or read/write errors.

**Parsing Logic**:
– For each line read from any text file:
– If it starts with “REF:”, treat the rest as a path to another text file that needs recursive processing.
– Otherwise, perform some dummy operation (e.g., appending it to a list).

**Additional Constraints**:
– Ensure no infinite loops occur even when references form cycles.
– Ensure efficient resource management (i.e., closing files properly).

### Solution

python
import os

def parse_directory(directory_path):
processed_files = set()

def process_file(file_path):
if file_path in processed_files:
return

processed_files.add(file_path)

try:
with open(file_path) as f:
while True:
line = f.readline()
if not line:
break

stripped_line = line.rstrip(‘n’)
if stripped_line.startswith(“REF:”):
ref_path = stripped_line[len(“REF:”):]
ref_full_path = os.path.join(os.path.dirname(file_path), ref_path)
if os.path.exists(ref_full_path):
process_file(ref_full_path)
else:
# Dummy operation example; replace with actual logic needed.
parsed_data.append(stripped_line)
except Exception as e:
print(f”Error processing {file_path}: {e}”)

# Check for new files added during processing dynamically
scan_for_new_files(directory_path)

def scan_for_new_files(directory):
current_files = set()

for root, _, files in os.walk(directory):
for name in files:
if name.endswith(‘.txt’):
full_path = os.path.join(root, name)
current_files.add(full_path)

new_files = current_files.difference(processed_files)

for new_file in new_files:
process_file(new_file)

parsed_data = []

scan_for_new_files(directory_path)

# Example usage; replace ‘your_directory’ with your actual directory path containing text files.
parse_directory(‘your_directory’)

## Follow-up exercise

### Problem Statement:

Extend your `parse_directory` function further by adding these features:

1. Implement multi-threaded processing where each thread handles one subdirectory at a time but still ensures no cyclic references cause infinite recursion.
2. Introduce logging functionality that logs every action taken by the parser into separate log files based on subdirectories processed.

### Solution

python
import os
import threading
import logging

processed_files_lock = threading.Lock()
processed_files = set()

def setup_logger(subdir):
logger_name = subdir.replace(os.sep, ‘_’)
logger = logging.getLogger(logger_name)

handler = logging.FileHandler(f”{logger_name}.log”)

formatter = logging.Formatter(‘%(asctime)s %(levelname)s %(message)s’)

handler.setFormatter(formatter)

logger.addHandler(handler)

logger.setLevel(logging.INFO)

def log_message(subdir, message):
logger_name=subdir.replace(os.sep,’_’)
logger=logging.getLogger(logger_name)
logger.info(message)

def parse_directory_multithreaded(directory_path):

def process_file(file_path):
subdir=os.path.dirname(file_path).replace(directory_path,”)

setup_logger(subdir)

log_message(subdir,f’Starting processing {file_path}’)

global processed_files_lock

with processed_files_lock :
if file_path in processed_files :
return

processed_files.add(file_path)

try :
with open(file_path) as f :
while True :
line=f.readline()
if not line :
break

stripped_line=line.rstrip(‘n’)
if stripped_line.startswith(“REF:”) :
ref_path=stripped_line[len(“REF:”):]
ref_fullpath=os.path.join(os.path.dirname(file_path),refPath )

if os.path.exists(ref_fullpath ) :
process_file(ref_fullpath )
else :
parsed_data.append(stripped_line)
log_message(subdir,f’Parsed data appended {stripped_line}’)
except Exception as e :
log_message(subdir,f”Error processing {filePath}: {e}”)

log_message(subdir,f’Finished processing {filePath}’)

scan_for_newfiles(directoryPath)

def scan_for_newfiles(directory):

currentFiles=set()

for root , _ ,files in os.walk(directory) :

for nameinfiles :

ifname.endswith(‘.txt’) :

fullpath=os.path.join(root,name )

currentFiles.add(fullpath)

newFiles=currentFiles.difference(processedFiles)

threads=[]

fornewFileinnewFiles :

t=threading.Thread(target=processFile,args=(newFile,) )

threads.append(t)

t.start()

foreachthreadinthreads :

thread.join()

parsedData=[]

scanForNewFiles(directoryPath)

#Example usage; replace ‘your_directory’with your actual directory path containing textfiles .
parseDirectoryMultithreaded(‘your_directory’)

This solution adds multi-threading capabilities along with detailed logging mechanisms ensuring robustness even under concurrent access scenarios while maintaining traceability through logs per subdirectory.

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