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https://github.com/PR0M3TH3AN/python_charts.git
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Update .gitignore, enhance repo-context documentation, and refine startup script
- Add `repo-context.txt` to .gitignore to prevent tracking of generated context files. - Expand documentation in `repo-context.txt` to include detailed usage instructions, quickstart guide, and repository structure for the lagged oil-unemployment chart project. - Refine `startup.sh` script comments for clarity on its purpose and usage.
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@@ -7,3 +7,4 @@ wheelhouse/*.log
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wheelhouse/*.md
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# keep wheel files themselves!
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data/*.bak
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repo-context.txt
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@@ -21,8 +21,144 @@ Generated on: 2025-05-30
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## python_charts/README.md
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```markdown
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# Lagged Oil–Unemployment Chart
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A self-contained toolkit that:
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* Fetches U.S. unemployment rate (UNRATE) and WTI crude oil price (DCOILWTICO) from FRED
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* Stores the series in a local SQLite database (`data/fred.db`)
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* Produces a dual-axis plot of unemployment vs. lagged oil price, with customizable lag, date range, and styling
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---
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## 🚀 Quickstart
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```bash
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# Clone the repo
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git clone https://github.com/your-org/python_charts.git
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cd python_charts
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# One-command: install deps, download data, and plot
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./startup.sh python scripts/lagged_oil_unrate_chart_styled.py \
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--offset 12 --end 2025-05-31 --extend-years 5
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--offset 12 --end 2025-05-31 --extend-years 5
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```
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This will:
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1. Create (or reuse) a Python 3 virtual environment (`venv/`)
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2. Upgrade `pip` & `setuptools` (providing `distutils` support)
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3. Install required packages (offline wheelhouse first, PyPI fallback)
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4. Download UNRATE & DCOILWTICO into `data/fred.db` if missing
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5. Generate the chart with a 12-month oil lead, extending the x-axis by 5 years
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---
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## 📁 Repository Structure
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```
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python_charts/
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├── data/
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│ └── fred.db # Local FRED snapshot (SQLite)
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├── scripts/
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│ ├── refresh_data.py # Download and store FRED series
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│ ├── lagged_oil_unrate_chart_styled.py # Plotting script
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│ └── pyproject.toml # Packaging metadata
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├── startup.sh # Bootstraps venv, deps, data, and runs commands
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├── requirements.txt # Python dependencies
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└── README.md # This file
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```
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---
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## 🛠️ Installation & Setup
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1. **Ensure** you have Python 3.8+ installed on your system.
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2. **Clone** and navigate into the project:
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```bash
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git clone https://github.com/your-org/python_charts.git
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cd python_charts
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```
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3. **Make** the startup script executable:
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```bash
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chmod +x startup.sh
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```
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> On first run, `startup.sh` will build the environment, install dependencies, and pull data.
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---
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## ⚙️ Usage
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### Refresh FRED data
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```bash
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./startup.sh python scripts/refresh_data.py
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```
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Downloads the full UNRATE and WTI series (from 1948 to today) into `data/fred.db`.
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### Generate the chart
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```bash
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# Default 18-month lag
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./startup.sh
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# Custom lag, range, and extension
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./startup.sh python scripts/lagged_oil_unrate_chart_styled.py \
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--offset 6 --start 1980-01-01 --end 2025-05-31 --extend-years 2
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```
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| Option | Description |
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| ---------------- | --------------------------------------------------------- |
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| `--offset` | Lag in months (positive = oil leads; negative = oil lags) |
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| `--start` | Start date (YYYY-MM-DD) |
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| `--end` | End date (YYYY-MM-DD) |
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| `--extend-years` | Years to extend the x-axis beyond the end date |
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---
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## 📝 Details
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* **Data storage**: `data/fred.db` (SQLite) holds two tables: `UNRATE` and `DCOILWTICO`.
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* **Plot styling**:
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* Left y-axis: unemployment rate (%) from 3 to 15%, ticks every 2%.
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* Right y-axis: log scale oil price (USD), doubling ticks from \$3 upward.
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* X-axis: years, major tick every 5 years, minor tick every year.
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---
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## 📦 Dependencies
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Listed in `requirements.txt`:
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```text
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pandas>=1.5.0
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pandas_datareader>=0.10.0
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matplotlib>=3.5.0
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lxml>=4.6.0
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python-dateutil>=2.8.1
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```
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`startup.sh` also upgrades `pip` & `setuptools` to ensure `distutils` is available.
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---
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## 🛡️ Troubleshooting
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* **ModuleNotFoundError: distutils**: resolved automatically by upgrading `setuptools` in `startup.sh`.
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* **Database not found**: run `./startup.sh python scripts/refresh_data.py` to populate `data/fred.db`.
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* **Virtual-env issues**: delete `venv/` and re-run `startup.sh`.
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---
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## 📄 License
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This project is released under the MIT License. See [LICENSE](LICENSE) for details.
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```
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+33
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@@ -1,14 +1,12 @@
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#!/usr/bin/env bash
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# -------------------------------------------------------------------
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# startup.sh — prepare Python env, ensure dependencies, FRED data,
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# and run a command inside the venv
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# startup.sh — prepare Python env, ensure deps & data, then run.
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# Usage:
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# ./startup.sh [command…]
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# Automatically:
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# - Upgrades pip & setuptools (ensuring distutils on Python 3.12+)
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# - Creates venv if missing
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# - Installs requirements
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# - Downloads data/fred.db if missing
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# ./startup.sh [options] # passes options to default plot script
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# ./startup.sh [script or cmd] # runs specified script/command
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# Examples:
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# ./startup.sh --offset 12 --end 2025-05-31 --extend-years 5
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# ./startup.sh pytest -q
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# -------------------------------------------------------------------
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set -euo pipefail
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@@ -16,46 +14,56 @@ VENV_DIR="venv"
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REQ_FILE="requirements.txt"
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WHEELHOUSE="wheelhouse"
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DATA_DB="data/fred.db"
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PYTHON="$VENV_DIR/bin/python"
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DEFAULT_SCRIPT="scripts/lagged_oil_unrate_chart_styled.py"
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# 1) Create or reuse venv
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if [[ ! -d "$VENV_DIR" ]]; then
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echo "🔧 Creating virtual-env…"
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python3 -m venv "$VENV_DIR"
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fi
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# Activate
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# 2) Activate venv
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# shellcheck disable=SC1090
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source "$VENV_DIR/bin/activate"
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# 2) Upgrade pip & setuptools (to provide distutils on Py3.12+)
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# 3) Upgrade pip & setuptools
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echo "🛠 Upgrading pip & setuptools…"
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pip install --upgrade pip setuptools
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$PYTHON -m pip install --upgrade pip setuptools
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# 3) Install project dependencies
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# 4) Install dependencies
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PIP_OPTS=(install --upgrade --no-input)
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if [[ -d "$WHEELHOUSE" ]]; then
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echo "📦 Installing from wheelhouse…"
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pip "${PIP_OPTS[@]}" --no-index --find-links="$WHEELHOUSE" -r "$REQ_FILE" \
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|| { echo "⚠️ Wheelhouse failed—falling back to PyPI…"; \
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pip "${PIP_OPTS[@]}" -r "$REQ_FILE"; }
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$PYTHON -m pip "${PIP_OPTS[@]}" --no-index --find-links="$WHEELHOUSE" -r "$REQ_FILE" \
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|| { echo "⚠️ Wheelhouse failed—falling back…"; \
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$PYTHON -m pip "${PIP_OPTS[@]}" -r "$REQ_FILE"; }
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else
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echo "🌐 Installing from PyPI…"
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pip "${PIP_OPTS[@]}" -r "$REQ_FILE"
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$PYTHON -m pip "${PIP_OPTS[@]}" -r "$REQ_FILE"
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fi
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echo "✅ Virtual-env ready ($(python -V))"
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echo "✅ Virtual-env ready ($($PYTHON -V))"
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# 4) Ensure data/fred.db exists
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# 5) Ensure data exists
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if [[ ! -f "$DATA_DB" ]]; then
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echo "🔄 $DATA_DB not found—downloading FRED series…"
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python scripts/refresh_data.py
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echo "🔄 Data not found—downloading FRED series…"
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$PYTHON scripts/refresh_data.py
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fi
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# 5) Decide what to run
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if [[ $# -gt 0 ]]; then
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CMD=("$@")
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# 6) Build command
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if [[ $# -eq 0 ]]; then
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CMD=("$PYTHON" "$DEFAULT_SCRIPT" --offset 18)
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elif [[ "$1" == --* ]]; then
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CMD=("$PYTHON" "$DEFAULT_SCRIPT" "$@")
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else
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CMD=(python scripts/lagged_oil_unrate_chart_styled.py --offset 18)
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if [[ -f "$1" || "$1" == *.py ]]; then
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CMD=("$PYTHON" "$@")
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else
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CMD=("$@")
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fi
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fi
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# 7) Execute
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echo "🚀 Executing: ${CMD[*]}"
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exec "${CMD[@]}"
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exec "${CMD[@]}"
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