Fx-pcs-vps Win-e ((link)) ›
# fx_pcs_vps_win_e.py
# Windows VPS - PCS (Patch Connection System) FX Processor
# Low-latency audio routing & effect chain manager
import sys
import json
import threading
import time
import logging
import numpy as np
from collections import OrderedDict
from dataclasses import dataclass, field
from typing import Dict, List, Optional, Callable, Any
import pyaudio # pip install pyaudio
import sounddevice as sd # pip install sounddevice
import rtmidi # pip install python-rtmidi
# Windows-specific performance tweaks
if sys.platform == 'win32':
import win32process
import win32api
import psutil # pip install psutil
# Set high priority for audio threads
def set_realtime_priority():
p = psutil.Process()
p.nice(psutil.HIGH_PRIORITY_CLASS)
else:
def set_realtime_priority():
pass
# ------------------------------------------------------------
# Data Models
# ------------------------------------------------------------
@dataclass
class AudioBuffer:
"""Lock-free circular buffer for audio samples"""
data: np.ndarray
write_pos: int = 0
read_pos: int = 0
channels: int = 2
samplerate: int = 48000
@dataclass
class FXNode:
"""Base FX processing node"""
name: str
enabled: bool = True
params: Dict[str, Any] = field(default_factory=dict)
process_fn: Optional[Callable] = None
# ------------------------------------------------------------
# FX Processors (Windows optimized with vectorized operations)
# ------------------------------------------------------------
class FXProcessors:
@staticmethod
def gain(samples: np.ndarray, gain_db: float = 0.0) -> np.ndarray:
gain_lin = 10 ** (gain_db / 20.0)
return samples * gain_lin
@staticmethod
def simple_delay(samples: np.ndarray, delay_ms: float = 500.0, feedback: float = 0.5,
samplerate: int = 48000, delay_buffer: np.ndarray = None) -> tuple:
delay_samples = int(delay_ms * samplerate / 1000)
if delay_buffer is None:
delay_buffer = np.zeros((delay_samples, samples.shape[1]))
# Circular buffer delay
output = samples.copy()
for ch in range(samples.shape[1]):
# Mix delayed signal
delayed = np.roll(delay_buffer[:, ch], 1)
output[:, ch] += delayed[:samples.shape[0]] * feedback
# Update delay buffer
delay_buffer[:samples.shape[0], ch] = samples[:, ch] + delayed[:samples.shape[0]] * feedback
return output, delay_buffer
@staticmethod
def lowpass(samples: np.ndarray, cutoff_hz: float = 1000.0, samplerate: int = 48000) -> np.ndarray:
"""Simple 1-pole lowpass filter"""
dt = 1.0 / samplerate
rc = 1.0 / (2 * np.pi * cutoff_hz)
alpha = dt / (rc + dt)
filtered = np.zeros_like(samples)
for ch in range(samples.shape[1]):
prev = 0.0
for i in range(samples.shape[0]):
filtered[i, ch] = prev + alpha * (samples[i, ch] - prev)
prev = filtered[i, ch]
return filtered
@staticmethod
def distortion(samples: np.ndarray, drive: float = 2.0) -> np.ndarray:
"""Soft clipping distortion"""
return np.tanh(samples * drive)
@staticmethod
def tremolo(samples: np.ndarray, rate_hz: float = 5.0, depth: float = 0.8,
samplerate: int = 48000, phase: float = 0.0) -> tuple:
"""Amplitude modulation tremolo effect"""
t = np.arange(samples.shape[0]) / samplerate
lfo = 0.5 + 0.5 * np.sin(2 * np.pi * rate_hz * t + phase)
envelope = 1.0 - depth + depth * lfo
new_phase = (phase + 2 * np.pi * rate_hz * samples.shape[0] / samplerate) % (2 * np.pi)
return samples * envelope[:, np.newaxis], new_phase
# ------------------------------------------------------------
# PCS Core Engine
# ------------------------------------------------------------
class PCSEngine:
"""Patch Connection System - Modular FX routing engine"""
def __init__(self, samplerate: int = 48000, blocksize: int = 256):
self.samplerate = samplerate
self.blocksize = blocksize
self.nodes: OrderedDict[str, FXNode] = OrderedDict()
self.patch_map: Dict[str, str] = {} # output -> input connections
self.running = False
self.logger = logging.getLogger("PCS")
self.delay_buffers = {}
self.tremolo_phases = {}
# Windows performance: use WASAPI exclusive mode if available
self.audio = None
self.input_stream = None
self.output_stream = None
# MIDI control
self.midi_in = None
def register_fx(self, name: str, processor: Callable, params: Dict = None):
"""Register an FX processor node"""
self.nodes[name] = FXNode(
name=name,
enabled=True,
params=params or {},
process_fn=processor
)
self.logger.info(f"Registered FX: name")
def connect(self, source: str, destination: str):
"""Patch connection from source to destination"""
self.patch_map[source] = destination
self.logger.info(f"Patched: source -> destination")
def disconnect(self, source: str):
"""Remove patch connection"""
if source in self.patch_map:
del self.patch_map[source]
def process_block(self, input_data: np.ndarray) -> np.ndarray:
"""Process audio block through the patch graph"""
if input_data is None or input_data.size == 0:
return np.zeros((self.blocksize, 2))
# Ensure stereo
if input_data.ndim == 1:
input_data = input_data.reshape(-1, 1)
if input_data.shape[1] == 1:
input_data = np.concatenate([input_data, input_data], axis=1)
# Initialize signal flow
signal = input_data.copy()
# Process nodes in order
for node_name, node in self.nodes.items():
if not node.enabled:
continue
try:
# Dynamic parameter handling
if node.name == "gain":
gain_db = node.params.get("gain_db", 0.0)
signal = FXProcessors.gain(signal, gain_db)
elif node.name == "delay":
delay_ms = node.params.get("delay_ms", 500.0)
feedback = node.params.get("feedback", 0.5)
buf = self.delay_buffers.get(node_name)
signal, buf = FXProcessors.simple_delay(
signal, delay_ms, feedback, self.samplerate, buf
)
self.delay_buffers[node_name] = buf
elif node.name == "lowpass":
cutoff = node.params.get("cutoff_hz", 1000.0)
signal = FXProcessors.lowpass(signal, cutoff, self.samplerate)
elif node.name == "distortion":
drive = node.params.get("drive", 2.0)
signal = FXProcessors.distortion(signal, drive)
elif node.name == "tremolo":
rate = node.params.get("rate_hz", 5.0)
depth = node.params.get("depth", 0.8)
phase = self.tremolo_phases.get(node_name, 0.0)
signal, phase = FXProcessors.tremolo(signal, rate, depth, self.samplerate, phase)
self.tremolo_phases[node_name] = phase
else:
# Custom processor
if node.process_fn:
signal = node.process_fn(signal, **node.params)
except Exception as e:
self.logger.error(f"Error processing node_name: e")
# Apply patches (route to outputs)
for source, dest in self.patch_map.items():
if dest == "master_out":
# Send to master output
pass
return signal
def audio_callback(self, indata, outdata, frames, time, status):
"""Audio callback for real-time processing"""
if status:
self.logger.warning(f"Audio status: status")
if self.running:
processed = self.process_block(indata)
outdata[:] = processed[:frames]
else:
outdata[:] = indata
def start(self, input_device=None, output_device=None):
"""Start the audio engine with Windows optimizations"""
set_realtime_priority()
self.running = True
# Use sounddevice for better Windows WASAPI support
try:
self.audio = sd.Stream(
device=(input_device, output_device),
samplerate=self.samplerate,
blocksize=self.blocksize,
channels=2,
callback=self.audio_callback,
latency='low'
)
self.audio.start()
self.logger.info(f"PCS Engine started at self.samplerate Hz, self.blocksize samples")
except Exception as e:
self.logger.error(f"Failed to start audio: e")
raise
def stop(self):
"""Stop the engine"""
self.running = False
if self.audio:
self.audio.stop()
self.audio.close()
def set_param(self, node_name: str, param_name: str, value: Any):
"""Update FX parameter in real-time"""
if node_name in self.nodes:
self.nodes[node_name].params[param_name] = value
self.logger.debug(f"node_name.param_name = value")
# ------------------------------------------------------------
# Windows VPS Control & Remote Interface
# ------------------------------------------------------------
class VPSEndpoint:
"""Remote control endpoint for Windows VPS deployment"""
def __init__(self, engine: PCSEngine, port: int = 8765):
self.engine = engine
self.port = port
self.socket = None
self.running = False
def start_remote(self):
"""Start remote control server (WebSocket/JSON-RPC)"""
# Simple HTTP control endpoint for Windows VPS
from http.server import HTTPServer, BaseHTTPRequestHandler
import json
class PCSHandler(BaseHTTPRequestHandler):
def do_POST(self):
length = int(self.headers['Content-Length'])
data = json.loads(self.rfile.read(length))
if self.path == '/param':
engine.set_param(data['node'], data['param'], data['value'])
self.send_response(200)
self.end_headers()
self.wfile.write(b'"status":"ok"')
elif self.path == '/patch':
engine.connect(data['source'], data['dest'])
self.send_response(200)
self.end_headers()
elif self.path == '/preset':
# Load/save preset
pass
def log_message(self, format, *args):
pass
server = HTTPServer(('0.0.0.0', self.port), PCSHandler)
self.running = True
thread = threading.Thread(target=server.serve_forever)
thread.daemon = True
thread.start()
print(f"PCS Remote Control active on port self.port")
# ------------------------------------------------------------
# Main Execution
# ------------------------------------------------------------
def main():
# Configure logging for Windows Event Log compatibility
logging.basicConfig(
level=logging.INFO,
format='%(asctime)s - %(name)s - %(levelname)s - %(message)s'
)
print("=" * 60)
print("FX-PCS-VPS-WIN-E")
print("Windows VPS - Professional Audio Processing Engine")
print("=" * 60)
# Initialize engine
engine = PCSEngine(samplerate=48000, blocksize=128)
# Register standard FX processors
engine.register_fx("gain", None)
engine.register_fx("lowpass", None)
engine.register_fx("distortion", None)
engine.register_fx("delay", None)
engine.register_fx("tremolo", None)
# Set initial parameters
engine.set_param("gain", "gain_db", 0.0)
engine.set_param("lowpass", "cutoff_hz", 20000.0)
engine.set_param("distortion", "drive", 1.0)
engine.set_param("delay", "delay_ms", 300.0)
engine.set_param("delay", "feedback", 0.4)
engine.set_param("tremolo", "rate_hz", 6.0)
engine.set_param("tremolo", "depth", 0.5)
# Create patches (routing)
# Signal flow: input -> gain -> lowpass -> delay -> tremolo -> output
engine.connect("gain", "lowpass")
engine.connect("lowpass", "delay")
engine.connect("delay", "tremolo")
engine.connect("tremolo", "master_out")
# Start remote control for VPS deployment
remote = VPSEndpoint(engine, port=8765)
remote.start_remote()
# Start audio engine
try:
print("\nAvailable audio devices:")
print(sd.query_devices())
print("\nStarting audio processing...")
engine.start()
print("\n✅ PCS Engine Running on Windows VPS")
print("📡 Remote control: http://<VPS_IP>:8765")
print("\nFX Chain: Input → Gain → Lowpass → Delay → Tremolo → Output")
print("\nPress Ctrl+C to stop\n")
# Keep alive
while True:
time.sleep(1)
except KeyboardInterrupt:
print("\nShutting down...")
finally:
engine.stop()
print("PCS Engine stopped")
if __name__ == "__main__":
main()
Target Audience
This software is intended for:
- Automation Engineers maintaining legacy Mitsubishi F-Series machinery.
- Maintenance Technicians requiring on-site debugging tools.
- System Integrators migrating legacy code to modern platforms.
3. Pre-Installation Requirements
Part 3: Hardware Specifications – The "PCS" in the Cloud
Not all VPS plans are suitable for Forex. Here is the minimum spec sheet for a professional FX-PCS-VPS-WIN-E machine. fx-pcs-vps win-e
| Component | Minimum Requirement | Recommended (Pro Scapler) | Why it matters | | :--- | :--- | :--- | :--- | | CPU | 2 vCPU (2.5GHz+) | 4 vCPU (3.0GHz+ / Xeon Gold) | EA backtesting and 30+ chart windows | | RAM | 4 GB | 8-16 GB | Windows Server overhead + MT4 terminal | | Storage | 40 GB SSD | 100 GB NVMe | Tick history database storage | | OS | Windows Server 2019 | Windows Server 2022 | Better network stack & security | | Network | 100 Mbps | 1 Gbps Unmetered | News event data feeds | # fx_pcs_vps_win_e
Warning: Avoid OpenVZ virtualization for VPS. Always choose KVM or VMWare virtualization to ensure dedicated RAM and CPU cycles for your FX-PCS. Target Audience This software is intended for:
Quick checklist — selecting a VPS for FX trading
- Location: choose a datacenter near your broker’s server or liquidity venue.
- Latency test: ping and traceroute to broker IP; prefer RTT < 10–20 ms for serious HFT/EA use.
- Specs: Min 4 vCPU (high single-core freq), 8–16 GB RAM, NVMe SSD. Scale up if running multiple terminals.
- Network: guaranteed bandwidth, low jitter, and DDoS protection.
- OS & Licensing: Windows Server vs Windows 10/11 — ensure proper licensing and compatibility with trading platforms.
- Backups & snapshots: automated daily snapshots and easy rollback.
- Access & security: RDP over a secure channel, change default ports, strong passwords, MFA where possible.
- Monitoring: uptime, CPU, memory, disk I/O, and latency alerts.
- Support & SLA: 24/7 support and clear uptime SLA (≥99.9% recommended).
- Cost vs value: factor in trading gains from lower latency vs monthly VPS fees.
1. The Hardware Layer (The "PCS" Foundation)
For a VPS to act like a Physical Compute Server, the host node must have:
- High single-core clock speed (4.5 GHz+): MT4/MT5 EAs cannot efficiently use multiple cores. Speed per core is king.
- 3D XPoint or NVMe RAID 10: Storage latency must be under 100 microseconds for log files and history centers.
- Dedicated RAM (No overcommit): Minimum 8GB dedicated, preferably 16GB for complex EAs.