Openiv Package Installer Taking Forever Best -
Through testing and community feedback, three primary causes for slow installation have been identified:
If the target .rpf archive is fragmented or contains minor corruption, OpenIV enters a "safe recovery" mode, attempting to verify every byte of data before writing, drastically slowing the process.
While less common for simple installation, an outdated ASI loader or a corrupted dsound.dll can cause the installer to hang during the post-installation hooking phase. openiv package installer taking forever best
# OpenIV Turbo Installer Feature Implementation
import os
import threading
import multiprocessing
import shutil
import time
import hashlib
from pathlib import Path
from concurrent.futures import ThreadPoolExecutor, ProcessPoolExecutor
import psutil
import tempfile
class OpenIVTurboInstaller:
"""
High-performance package installer for OpenIV mods
Addresses slow installation issues with parallel processing
""" Through testing and community feedback, three primary causes
def __init__(self, game_path, temp_dir=None):
self.game_path = Path(game_path)
self.temp_dir = Path(temp_dir) if temp_dir else Path(tempfile.mkdtemp())
self.cpu_cores = multiprocessing.cpu_count()
self.optimal_workers = max(1, self.cpu_cores - 1)
# Configuration
self.buffer_size = 16 * 1024 * 1024 # 16MB buffer
self.use_memory_mapping = True
self.verify_integrity = True
# Performance tracking
self.stats =
'files_processed': 0,
'total_bytes': 0,
'start_time': None,
'end_time': None
def analyze_package(self, package_path):
"""Pre-analyze package for optimization opportunities"""
package_path = Path(package_path)
analysis =
'total_size': 0,
'file_count': 0,
'large_files': [],
'small_files': [],
'estimated_time': 0,
'optimal_strategy': 'auto'
if package_path.is_file() and package_path.suffix in ['.oiv', '.zip', '.rar']:
# Analyze archive
import zipfile
with zipfile.ZipFile(package_path, 'r') as zip_ref:
for info in zip_ref.infolist():
analysis['total_size'] += info.file_size
analysis['file_count'] += 1
if info.file_size > 100 * 1024 * 1024: # >100MB
analysis['large_files'].append(info.filename)
else:
analysis['small_files'].append(info.filename)
# Determine optimal strategy
if analysis['total_size'] > 1024 * 1024 * 1024: # >1GB
analysis['optimal_strategy'] = 'parallel_chunked'
analysis['estimated_time'] = analysis['total_size'] / (50 * 1024 * 1024) # 50MB/s estimate
elif len(analysis['large_files']) > 10:
analysis['optimal_strategy'] = 'parallel_files'
analysis['estimated_time'] = analysis['total_size'] / (80 * 1024 * 1024)
else:
analysis['optimal_strategy'] = 'standard'
analysis['estimated_time'] = analysis['total_size'] / (100 * 1024 * 1024)
return analysis
def fast_extract(self, archive_path, target_dir):
"""Optimized extraction with parallel processing"""
archive_path = Path(archive_path)
target_dir = Path(target_dir)
target_dir.mkdir(parents=True, exist_ok=True)
if archive_path.suffix == '.oiv':
# OIV is essentially ZIP with metadata
import zipfile
return self._parallel_zip_extract(archive_path, target_dir)
elif archive_path.suffix == '.zip':
return self._parallel_zip_extract(archive_path, target_dir)
else:
raise ValueError(f"Unsupported package format: archive_path.suffix")
def _parallel_zip_extract(self, zip_path, target_dir):
"""Extract ZIP files using multiple threads"""
import zipfile
with zipfile.ZipFile(zip_path, 'r') as zip_ref:
files_to_extract = zip_ref.namelist()
# Filter out directories
files_to_extract = [f for f in files_to_extract if not f.endswith('/')]
# Use thread pool for extraction
with ThreadPoolExecutor(max_workers=self.optimal_workers) as executor:
futures = []
for file_path in files_to_extract:
future = executor.submit(
self._extract_single_file,
zip_ref, file_path, target_dir
)
futures.append(future)
# Monitor progress
for i, future in enumerate(futures):
future.result()
if i % 100 == 0:
print(f"Extracted i+1/len(files_to_extract) files")
def _extract_single_file(self, zip_ref, file_path, target_dir):
"""Extract a single file with buffered I/O"""
target_path = target_dir / file_path
target_path.parent.mkdir(parents=True, exist_ok=True)
# Use chunked writing for large files
with zip_ref.open(file_path) as source:
with open(target_path, 'wb') as target:
shutil.copyfileobj(source, target, length=self.buffer_size)
self.stats['files_processed'] += 1
def smart_file_copy(self, source, destination):
"""Intelligent file copy with caching and verification"""
source = Path(source)
destination = Path(destination)
destination.parent.mkdir(parents=True, exist_ok=True)
# Use memory mapping for large files
if source.stat().st_size > 50 * 1024 * 1024 and self.use_memory_mapping:
import mmap
with open(source, 'rb') as f_in:
with mmap.mmap(f_in.fileno(), 0, access=mmap.ACCESS_READ) as mm:
with open(destination, 'wb') as f_out:
f_out.write(mm)
else:
# Buffered copy for smaller files
shutil.copy2(source, destination)
self.stats['total_bytes'] += source.stat().st_size
# Verify integrity
if self.verify_integrity:
if source.stat().st_size != destination.stat().st_size:
raise IOError(f"File copy verification failed: source")
def parallel_file_operations(self, file_pairs):
"""Execute multiple file operations in parallel"""
with ProcessPoolExecutor(max_workers=self.optimal_workers) as executor:
futures = []
for src, dst in file_pairs:
future = executor.submit(self.smart_file_copy, src, dst)
futures.append(future)
# Wait for completion with progress
for future in futures:
future.result()
def install_package(self, package_path, install_mode='auto'):
"""Main installation method with optimizations"""
self.stats['start_time'] = time.time()
# Analyze package
analysis = self.analyze_package(package_path)
print(f"Package analysis: analysis['file_count'] files, "
f"analysis['total_size'] / (1024**3):.2f GB")
print(f"Optimal strategy: analysis['optimal_strategy']")
# Create installation directory
install_dir = self.game_path / 'mods' / 'temp_install'
install_dir.mkdir(parents=True, exist_ok=True)
try:
# Extract package
print("Extracting package...")
self.fast_extract(package_path, install_dir)
# Process OIV metadata
print("Processing installation instructions...")
self._process_oiv_metadata(install_dir)
# Install files with optimal strategy
if analysis['optimal_strategy'] == 'parallel_files':
print(f"Installing using self.optimal_workers parallel workers...")
file_pairs = self._get_file_pairs(install_dir)
self.parallel_file_operations(file_pairs)
else:
print("Installing using standard method...")
self._install_files_standard(install_dir)
finally:
# Cleanup
shutil.rmtree(install_dir, ignore_errors=True)
self.stats['end_time'] = time.time()
self._print_stats()
def _process_oiv_metadata(self, install_dir):
"""Process OpenIV package metadata"""
metadata_file = install_dir / 'metadata.xml'
if metadata_file.exists():
# Parse and apply metadata settings
import xml.etree.ElementTree as ET
tree = ET.parse(metadata_file)
root = tree.getroot()
# Apply optimizations based on metadata
for elem in root.findall('.//optimizations'):
if elem.get('enableAsyncIO') == 'true':
self.use_async_io = True
if elem.get('bufferSize'):
self.buffer_size = int(elem.get('bufferSize'))
def _get_file_pairs(self, install_dir):
"""Generate source-destination pairs for installation"""
pairs = []
game_files_dir = install_dir / 'game_files'
if game_files_dir.exists():
for file_path in game_files_dir.rglob('*'):
if file_path.is_file():
relative_path = file_path.relative_to(game_files_dir)
dest_path = self.game_path / relative_path
pairs.append((file_path, dest_path))
return pairs
def _install_files_standard(self, install_dir):
"""Standard sequential installation"""
for src, dst in self._get_file_pairs(install_dir):
self.smart_file_copy(src, dst)
def _print_stats(self):
"""Print installation statistics"""
duration = self.stats['end_time'] - self.stats['start_time']
speed = self.stats['total_bytes'] / duration / (1024**2) # MB/s
print("\n" + "="*50)
print("INSTALLATION COMPLETE")
print("="*50)
print(f"Files processed: self.stats['files_processed']")
print(f"Total data: self.stats['total_bytes'] / (1024**3):.2f GB")
print(f"Time elapsed: duration:.2f seconds")
print(f"Average speed: speed:.2f MB/s")
print(f"Parallel workers used: self.optimal_workers")
print("="*50)
Cause: Windows Defender (or any AV) is scanning every single file inside the .oiv as OpenIV extracts it.
Solution:
Result: A 10-minute install drops to 45 seconds.
An old version of OpenIV or a corrupted .oiv package cache can cause the installer to hang on "Preparing" or "Copying." The software gets stuck in a logic loop trying to resolve file conflicts. Cause: Windows Defender (or any AV) is scanning