update to local time logging with browser based visualization

.github/workflows/pylint.yml

@@ -18,6 +18,7 @@ jobs:
       run: |
         python -m pip install --upgrade pip
         pip install pylint
+        pip install -r requirements.txt
     - name: Analysing the code with pylint
       run: |
         pylint $(git ls-files '*.py')

.vscode/launch.json

@@ -1,10 +1,9 @@
 {
     "version": "0.2.0",
-    "configurations": [
-
+    "configurations": [    
         {
             "name": "main",
-            "type": "python",
+            "type": "debugpy",
             "request": "launch",
             "program": "main.py",
             "console": "integratedTerminal",

README.md

@@ -1,34 +1,22 @@
-# PythonProfiler
-
-# PythonProfiler
-
-Light-weight, decorator-based **time & memory profiler** that streams events to a central TCP server.  
-Add `@time_profile` or `@memory_profile` to any Python function and get a unified, time-ordered trace across multiple scripts, processes, or hosts without installing heavyweight agents or sharing files.
-![image](https://github.com/user-attachments/assets/0e3f7a74-de75-4c52-9826-9d0c21f9de36)
+# Python Profiler Viewer
 
+A **streaming log viewer and profiler visualizer** built for large-scale Python profiling data.
 
 ---
 
-## ✨ Features
+## 🚀 Features
 
-|                                   | What it does | Why it matters |
-|-----------------------------------|--------------|----------------|
-| **Two-line integration** | `from logic.decorators import ProfilingDecorators as P` → decorate functions. | Leaves your business-logic untouched; `functools.wraps` keeps signatures & docstrings. |
-| **Wall-clock latency** | Captures `datetime.now()` on entry/exit and ships a pair of timestamps. | Perfect for I/O-bound or distributed workflows where “what waited for what?” matters. :contentReference[oaicite:0]{index=0} |
-| **Resident-set memory** | Reads `ru_maxrss` via the `resource` module before & after the call. | Spot leaks and unexpected growth at function granularity on Unix systems. :contentReference[oaicite:1]{index=1} |
-| **Global ordering** | Every event carries a Version-1 UUID. | Collision-free merging when dozens of clients fire events in parallel. :contentReference[oaicite:2]{index=2} |
-| **Zero external deps** | Uses only the Python standard library (`socket`, `uuid`, `resource`, `datetime`). | Works anywhere Python ≥ 3.8 runs. |
+- 🔄 **Streaming JSONL file processing** — processes log files while loading
+- 🌳 **Virtualized expandable Call Tree** — smooth scroll & expand, even for millions of calls
+- 📊 **Timeline view (Plotly powered)** — visual execution timeline
+- 📈 **Summary table** — aggregated total time per function
+- ⚡ **Fully browser-based** — no backend server required
 
 ---
 
-## Quick start
-
-```bash
-git clone https://github.com/Saher-Amasha/PythonProfiler.git
+## 📄 Log Format
 
-cd PythonProfiler
-python3 -m venv venv
-source venv/bin/activate
-pip install -r requirements.txt     # only std-lib, but black & pytest for dev helpers
+Profiler expects newline-delimited JSON arrays (`.jsonl`), where each line represents one event:
 
-```
+```json
+["17:54:12.457", "start", "function_name", 123, 122, "sync"]