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feat: daemon file watcher + one-command install (setup.bat/sh + bbc install) + Case Study
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INSTALLATION.txt

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BBC v8.3 Installation Instructions
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===================================
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STEP 1: CLONE BBC
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-----------------
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git clone https://github.com/Anubis44197/BBC.git
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cd BBC
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STEP 2: INSTALL DEPENDENCIES
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----------------------------
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pip install -r requirements.txt
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STEP 3: START BBC ON YOUR PROJECT
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---------------------------------
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# Windows
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python bbc.py start C:\path\to\your\project
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OPTION A: ONE-COMMAND SETUP (RECOMMENDED)
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------------------------------------------
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1. cd your-project
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2. git clone https://github.com/Anubis44197/BBC.git
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3. BBC\setup.bat (Windows)
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bash BBC/setup.sh (Linux/macOS)
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# Linux/macOS
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python3 bbc.py start /path/to/your/project
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This automatically installs dependencies and starts BBC.
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# Current directory
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python bbc.py start .
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PIP INSTALL (DEVELOPMENT):
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OPTION B: INSTALL COMMAND
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--------------------------
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1. cd BBC
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2. pip install -e .
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3. python bbc.py start /path/to/your/project
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1. cd your-project
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2. git clone https://github.com/Anubis44197/BBC.git
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3. python BBC/bbc.py install .
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OPTION C: MANUAL SETUP
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-----------------------
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1. cd your-project
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2. git clone https://github.com/Anubis44197/BBC.git
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3. pip install -r BBC/requirements.txt
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4. python BBC/bbc.py start .
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FIRST USAGE:
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-----------
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1. Clone BBC: git clone https://github.com/Anubis44197/BBC.git
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2. Install deps: pip install -r requirements.txt
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3. Start BBC: python bbc.py start /path/to/project
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4. That's it! Your AI assistants now understand your code.
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1. Clone BBC into your project folder
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2. Run setup.bat (Windows) or setup.sh (Linux/macOS)
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3. That's it! Your AI assistants now understand your code.
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UPDATE BBC:
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----------

QUICK_START.md

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## 🎯 Get BBC Working in 5 Minutes
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### Step 1: Clone & Install BBC
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### Step 1: Clone BBC into Your Project
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```bash
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cd your-project
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git clone https://github.com/Anubis44197/BBC.git
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cd BBC
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pip install -r requirements.txt
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```
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### Step 2: Start BBC on Your Project
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### Step 2: One-Command Setup
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```bash
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# Windows
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python bbc.py start C:\path\to\your\project
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# Windows (automatic)
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BBC\setup.bat
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# Linux/macOS
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python3 bbc.py start /path/to/your/project
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# Linux/macOS (automatic)
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bash BBC/setup.sh
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# Current directory
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python bbc.py start .
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# Or use the install command
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python BBC/bbc.py install .
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```
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All three options do the same thing: install dependencies + analyze + inject + start daemon.
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### Alternative: Manual Setup
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```bash
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pip install -r BBC/requirements.txt
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python BBC/bbc.py start .
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```
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**BBC will:**
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## 🛠️ All Commands
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```bash
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python bbc.py install [path] # One-command: deps + analyze + inject + start
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python bbc.py start [path] # Full pipeline: Verify + Analyze + Inject
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python bbc.py start -b [path] # Run in background (daemon mode)
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python bbc.py start -f [path] # Force refresh

README.md

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- Python 3.8+
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- Git
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### 1. Clone the Repository
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### Option A: One-Command Setup (Recommended)
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Clone BBC into your project and run the setup script:
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```bash
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cd your-project
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git clone https://github.com/Anubis44197/BBC.git
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cd BBC
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```
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### 2. Install Dependencies
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# Windows
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BBC\setup.bat
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```bash
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pip install -r requirements.txt
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# Linux / macOS
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bash BBC/setup.sh
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```
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### 3. Start BBC on Your Project
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This automatically installs dependencies and starts BBC on your project.
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### Option B: Manual Setup
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```bash
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# Windows
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python bbc.py start C:\path\to\your\project
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# 1. Clone BBC into your project
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cd your-project
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git clone https://github.com/Anubis44197/BBC.git
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# Linux / macOS
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python3 bbc.py start /path/to/your/project
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# 2. Install dependencies
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pip install -r BBC/requirements.txt
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# Current directory
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python bbc.py start .
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# 3. Start BBC
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python BBC/bbc.py start .
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```
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### Option C: Install Command
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If you've already cloned BBC, use the `install` command for one-step setup:
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```bash
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python BBC/bbc.py install .
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```
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This runs `pip install` + `analyze` + `inject` + `start daemon` in one command.
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> **Tip:** Add the BBC directory to your PATH to use `python bbc.py start` from anywhere.
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---
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```
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### 🔄 Real-time Re-sealing
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BBC's daemon (`bbc_daemon.py`) watches for file changes. If your code changes after AI interaction, it automatically triggers a re-analysis to prevent stale context.
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BBC's daemon (`bbc_daemon.py`) actively monitors your project for changes every 30 seconds:
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- **New files added** → automatic re-analysis + re-injection
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- **Files modified** → SHA-256 hash comparison detects stale context, triggers re-seal
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- **Files deleted** → context updated to remove orphaned symbols
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The daemon uses `adaptive_mode.check_context_freshness()` for hash-based staleness detection and recommends `RESCAN` or `PARTIAL_RESCAN` based on the ratio of changed files.
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### 🧠 Adaptive Mode (STRICT / RELAXED)
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BBC operates in two modes depending on context match quality:
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---
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## 🛠️ Commands
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## � Case Study: Borsa MCP (Real-World Benchmark)
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BBC was tested on **borsa-mcp** — a financial data MCP server for Borsa Istanbul with 257K+ lines of code. Testing was performed using the **Cline extension** (VS Code) with free-form prompts.
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### Benchmark: 10-Year OHLCV Analysis (3,650 records)
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| Metric | Without BBC | With BBC | Savings |
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|---|---:|---:|---:|
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| Characters | 449,490 | 4,266 | 445,224 |
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| Tokens (approx) | 112,372 | 1,066 | 111,306 |
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| Tokens (tiktoken/real) | 233,757 | 1,951 | **231,806** |
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| **Savings Rate (real)** ||| **99.17%** |
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> **119:1 compression ratio** — verified with `tiktoken` (GPT-4o tokenizer)
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### How BBC Achieved This
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1. **Context Discipline:** Instead of dumping README + raw data + verbose instructions into one prompt, BBC enforces focused task payloads with `context_source: .bbc/bbc_context.json`
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2. **Adaptive Sampling:** 3,650 daily records → key inflection points only (`TokenOptimizer`)
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3. **Compact JSON:** Field shortening, null removal, number rounding (`CompactJSONOptimizer`)
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4. **Hallucination Prevention:** `constraint_status: verified` ensures AI stays within sealed context
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### Key Insight
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> *"BBC is not magic automation — it’s an engineering framework that keeps AI work safe and focused."*
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>
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> The massive token reduction comes from BBC discipline + optimization working together, not from a single tool.
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*Tested with Cline extension (VS Code) using free-form prompts. March 2026.*
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---
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## �🛠️ Commands
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```bash
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# Full pipeline: Verify + Analyze + Inject + Start Daemon
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python bbc.py start [path]
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# One-command install: deps + analyze + inject + start
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python bbc.py install [path]
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# Force refresh (use after code changes)
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python bbc.py start -f [path]
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bbc.py

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if force: cmd.append("--force")
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self.run_command(cmd)
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def install(self, project_path: str = ".", force: bool = False):
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"""One-command BBC install: pip install deps + analyze + inject + start"""
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print(f"[BBC] One-Command Install starting...")
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# 1. Install dependencies
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req_file = self.script_dir / "requirements.txt"
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if req_file.exists():
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print(f"[BBC] Step 1/2: Installing dependencies...")
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result = subprocess.call(
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[sys.executable, "-m", "pip", "install", "-r", str(req_file), "-q"]
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)
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if result != 0:
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print(f"[BBC] Warning: Some dependencies may have failed to install.")
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else:
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print(f"[BBC] Step 1/2: Dependencies installed.")
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else:
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print(f"[BBC] Step 1/2: No requirements.txt found, skipping.")
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# 2. Run full start pipeline
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print(f"[BBC] Step 2/2: Starting BBC...")
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self.start(project_path, force=force)
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def serve(self, port=3333):
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"""Start HTTP API Server"""
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print(f"[BBC] Starting API Server on port {port}...")
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menu_parser = subparsers.add_parser("menu", help="Interactive BBC Menu")
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menu_parser.add_argument("path", nargs="?", default=".", help="Project path")
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# Install (One-command setup)
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install_parser = subparsers.add_parser("install", help="One-command install: deps + analyze + inject + start")
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install_parser.add_argument("path", nargs="?", default=".", help="Project path")
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install_parser.add_argument("--force", "-f", action="store_true", help="Force fresh install")
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# Watch (IDE Terminal Monitor)
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watch_parser = subparsers.add_parser("watch", help="Watch AI operations and show HMPU reports in IDE terminal")
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watch_parser.add_argument("path", nargs="?", default=".", help="Project path")
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menu_main(str(Path(args.path).resolve()), loop=True)
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elif args.command == "watch":
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cli.watch(args.path)
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elif args.command == "install":
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cli.install(args.path, args.force)
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elif args.command == "stop":
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cli.stop(args.path)
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elif args.command == "status":

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