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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thePR0M3TH3AN committed 2025-05-30 17:04:12 -04:00
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@@ -7,3 +7,4 @@ wheelhouse/*.log
wheelhouse/*.md
# keep wheel files themselves!
data/*.bak
repo-context.txt
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@@ -21,8 +21,144 @@ Generated on: 2025-05-30
## python_charts/README.md
```markdown
# Lagged Oil–Unemployment Chart
A self-contained toolkit that:
* Fetches U.S. unemployment rate (UNRATE) and WTI crude oil price (DCOILWTICO) from FRED
* Stores the series in a local SQLite database (`data/fred.db`)
* Produces a dual-axis plot of unemployment vs. lagged oil price, with customizable lag, date range, and styling
![Example chart](scripts/lagged_oil_unrate_chart_styled.py)
---
## 🚀 Quickstart
```bash
# Clone the repo
git clone https://github.com/your-org/python_charts.git
cd python_charts
# One-command: install deps, download data, and plot
./startup.sh python scripts/lagged_oil_unrate_chart_styled.py \
--offset 12 --end 2025-05-31 --extend-years 5
--offset 12 --end 2025-05-31 --extend-years 5
```
This will:
1. Create (or reuse) a Python 3 virtual environment (`venv/`)
2. Upgrade `pip` & `setuptools` (providing `distutils` support)
3. Install required packages (offline wheelhouse first, PyPI fallback)
4. Download UNRATE & DCOILWTICO into `data/fred.db` if missing
5. Generate the chart with a 12-month oil lead, extending the x-axis by 5 years
---
## 📁 Repository Structure
```
python_charts/
├── data/
│ └── fred.db # Local FRED snapshot (SQLite)
├── scripts/
│ ├── refresh_data.py # Download and store FRED series
│ ├── lagged_oil_unrate_chart_styled.py # Plotting script
│ └── pyproject.toml # Packaging metadata
├── startup.sh # Bootstraps venv, deps, data, and runs commands
├── requirements.txt # Python dependencies
└── README.md # This file
```
---
## 🛠️ Installation & Setup
1. **Ensure** you have Python 3.8+ installed on your system.
2. **Clone** and navigate into the project:
```bash
git clone https://github.com/your-org/python_charts.git
cd python_charts
```
3. **Make** the startup script executable:
```bash
chmod +x startup.sh
```
> On first run, `startup.sh` will build the environment, install dependencies, and pull data.
---
## ⚙️ Usage
### Refresh FRED data
```bash
./startup.sh python scripts/refresh_data.py
```
Downloads the full UNRATE and WTI series (from 1948 to today) into `data/fred.db`.
### Generate the chart
```bash
# Default 18-month lag
./startup.sh
# Custom lag, range, and extension
./startup.sh python scripts/lagged_oil_unrate_chart_styled.py \
--offset 6 --start 1980-01-01 --end 2025-05-31 --extend-years 2
```
| Option | Description |
| ---------------- | --------------------------------------------------------- |
| `--offset` | Lag in months (positive = oil leads; negative = oil lags) |
| `--start` | Start date (YYYY-MM-DD) |
| `--end` | End date (YYYY-MM-DD) |
| `--extend-years` | Years to extend the x-axis beyond the end date |
---
## 📝 Details
* **Data storage**: `data/fred.db` (SQLite) holds two tables: `UNRATE` and `DCOILWTICO`.
* **Plot styling**:
* Left y-axis: unemployment rate (%) from 3 to 15%, ticks every 2%.
* Right y-axis: log scale oil price (USD), doubling ticks from \$3 upward.
* X-axis: years, major tick every 5 years, minor tick every year.
---
## 📦 Dependencies
Listed in `requirements.txt`:
```text
pandas>=1.5.0
pandas_datareader>=0.10.0
matplotlib>=3.5.0
lxml>=4.6.0
python-dateutil>=2.8.1
```
`startup.sh` also upgrades `pip` & `setuptools` to ensure `distutils` is available.
---
## 🛡️ Troubleshooting
* **ModuleNotFoundError: distutils**: resolved automatically by upgrading `setuptools` in `startup.sh`.
* **Database not found**: run `./startup.sh python scripts/refresh_data.py` to populate `data/fred.db`.
* **Virtual-env issues**: delete `venv/` and re-run `startup.sh`.
---
## 📄 License
This project is released under the MIT License. See [LICENSE](LICENSE) for details.
```
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@@ -1,14 +1,12 @@
#!/usr/bin/env bash
# -------------------------------------------------------------------
# startup.sh — prepare Python env, ensure dependencies, FRED data,
# and run a command inside the venv
# startup.sh — prepare Python env, ensure deps & data, then run.
# Usage:
# ./startup.sh [command…]
# Automatically:
# - Upgrades pip & setuptools (ensuring distutils on Python 3.12+)
# - Creates venv if missing
# - Installs requirements
# - Downloads data/fred.db if missing
# ./startup.sh [options] # passes options to default plot script
# ./startup.sh [script or cmd] # runs specified script/command
# Examples:
# ./startup.sh --offset 12 --end 2025-05-31 --extend-years 5
# ./startup.sh pytest -q
# -------------------------------------------------------------------
set -euo pipefail
@@ -16,46 +14,56 @@ VENV_DIR="venv"
REQ_FILE="requirements.txt"
WHEELHOUSE="wheelhouse"
DATA_DB="data/fred.db"
PYTHON="$VENV_DIR/bin/python"
DEFAULT_SCRIPT="scripts/lagged_oil_unrate_chart_styled.py"
# 1) Create or reuse venv
if [[ ! -d "$VENV_DIR" ]]; then
echo "🔧 Creating virtual-env…"
python3 -m venv "$VENV_DIR"
fi
# Activate
# 2) Activate venv
# shellcheck disable=SC1090
source "$VENV_DIR/bin/activate"
# 2) Upgrade pip & setuptools (to provide distutils on Py3.12+)
# 3) Upgrade pip & setuptools
echo "🛠 Upgrading pip & setuptools…"
pip install --upgrade pip setuptools
$PYTHON -m pip install --upgrade pip setuptools
# 3) Install project dependencies
# 4) Install dependencies
PIP_OPTS=(install --upgrade --no-input)
if [[ -d "$WHEELHOUSE" ]]; then
echo "📦 Installing from wheelhouse…"
pip "${PIP_OPTS[@]}" --no-index --find-links="$WHEELHOUSE" -r "$REQ_FILE" \
|| { echo "⚠️ Wheelhouse failed—falling back to PyPI…"; \
pip "${PIP_OPTS[@]}" -r "$REQ_FILE"; }
$PYTHON -m pip "${PIP_OPTS[@]}" --no-index --find-links="$WHEELHOUSE" -r "$REQ_FILE" \
|| { echo "⚠️ Wheelhouse failed—falling back…"; \
$PYTHON -m pip "${PIP_OPTS[@]}" -r "$REQ_FILE"; }
else
echo "🌐 Installing from PyPI…"
pip "${PIP_OPTS[@]}" -r "$REQ_FILE"
$PYTHON -m pip "${PIP_OPTS[@]}" -r "$REQ_FILE"
fi
echo "✅ Virtual-env ready ($(python -V))"
echo "✅ Virtual-env ready ($($PYTHON -V))"
# 4) Ensure data/fred.db exists
# 5) Ensure data exists
if [[ ! -f "$DATA_DB" ]]; then
echo "🔄 $DATA_DB not found—downloading FRED series…"
python scripts/refresh_data.py
echo "🔄 Data not found—downloading FRED series…"
$PYTHON scripts/refresh_data.py
fi
# 5) Decide what to run
if [[ $# -gt 0 ]]; then
CMD=("$@")
# 6) Build command
if [[ $# -eq 0 ]]; then
CMD=("$PYTHON" "$DEFAULT_SCRIPT" --offset 18)
elif [[ "$1" == --* ]]; then
CMD=("$PYTHON" "$DEFAULT_SCRIPT" "$@")
else
CMD=(python scripts/lagged_oil_unrate_chart_styled.py --offset 18)
if [[ -f "$1" || "$1" == *.py ]]; then
CMD=("$PYTHON" "$@")
else
CMD=("$@")
fi
fi
# 7) Execute
echo "🚀 Executing: ${CMD[*]}"
exec "${CMD[@]}"
exec "${CMD[@]}"