new version v1.2.0

.github/setup.py

@@ -2,7 +2,7 @@
 
 setup(
     name='stock-analysis-program',
-    version='1.0.0',
+    version='1.2.0',
     packages=find_packages(),
     include_package_data=True,
     description='A Python-based toolkit for fetching and visualizing financial data and metrics for stocks.',

.github/workflows/ci.yml

@@ -0,0 +1,70 @@
+name: CI
+
+on:
+  push:
+    branches: ["main"]
+  pull_request:
+    branches: ["main"]
+  workflow_dispatch:
+
+permissions:
+  contents: read
+
+jobs:
+  test:
+    name: Test Python ${{ matrix.python-version }}
+    runs-on: ubuntu-latest
+    strategy:
+      fail-fast: false
+      matrix:
+        python-version: ["3.11", "3.12", "3.13"]
+
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v4
+
+      - name: Set up Python
+        uses: actions/setup-python@v5
+        with:
+          python-version: ${{ matrix.python-version }}
+          cache: "pip"
+
+      - name: Install Poetry
+        run: |
+          python -m pip install --upgrade pip
+          python -m pip install poetry
+
+      - name: Validate package metadata
+        run: poetry check
+
+      - name: Install dependencies
+        run: poetry install --with dev
+
+      - name: Run tests
+        run: poetry run pytest -q
+
+  build:
+    name: Build package
+    runs-on: ubuntu-latest
+    needs: test
+
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v6
+
+      - name: Set up Python
+        uses: actions/setup-python@v5
+        with:
+          python-version: "latest"
+          cache: "pip"
+
+      - name: Install build tooling
+        run: |
+          python -m pip install --upgrade pip
+          python -m pip install poetry twine
+
+      - name: Build distributions
+        run: poetry build
+
+      - name: Check distributions
+        run: twine check dist/*

.github/workflows/jekyll-gh-pages.yml

@@ -1,44 +1,43 @@
-# Sample workflow for building and deploying a Jekyll site to GitHub Pages
-name: Deploy Jekyll with GitHub Pages dependencies preinstalled
+name: Deploy Docs to GitHub Pages
 
 on:
-  # Runs on pushes targeting the default branch
   push:
     branches: ["main"]
+    paths:
+      - "README.md"
+      - "docs/**"
+      - ".github/workflows/jekyll-gh-pages.yml"
 
-  # Allows you to run this workflow manually from the Actions tab
   workflow_dispatch:
 
-# Sets permissions of the GITHUB_TOKEN to allow deployment to GitHub Pages
 permissions:
   contents: read
   pages: write
   id-token: write
 
-# Allow only one concurrent deployment, skipping runs queued between the run in-progress and latest queued.
-# However, do NOT cancel in-progress runs as we want to allow these production deployments to complete.
 concurrency:
   group: "pages"
   cancel-in-progress: false
 
 jobs:
-  # Build job
   build:
     runs-on: ubuntu-latest
     steps:
       - name: Checkout
         uses: actions/checkout@v4
+
       - name: Setup Pages
         uses: actions/configure-pages@v4
+
       - name: Build with Jekyll
         uses: actions/jekyll-build-pages@v1
         with:
           source: ./
           destination: ./_site
+
       - name: Upload artifact
         uses: actions/upload-pages-artifact@v3
 
-  # Deployment job
   deploy:
     environment:
       name: github-pages

.github/workflows/python_publish.yml

@@ -1,30 +1,52 @@
-name: Upload Python Package
+name: Publish Python Package
 
 on:
   push:
     tags:
-      - 'v*'
+      - "v*"
+  workflow_dispatch:
+
+permissions:
+  contents: read
 
 jobs:
-  deploy:
+  publish:
     runs-on: ubuntu-latest
+    environment:
+      name: pypi
+      url: https://pypi.org/project/stock-analysis-program/
+
     steps:
-    - uses: actions/checkout@v4
-
-    - name: Set up Python
-      uses: actions/setup-python@v5
-      with:
-        python-version: '3.x'
-
-    - name: Install Poetry
-      run: |
-        pip install --upgrade pip
-        pip install poetry
-
-    - name: Build and publish to PyPI
-      env:
-        POETRY_PYPI_TOKEN_PYPI: ${{ secrets.PYPI_API_TOKEN }}
-      run: |
-        poetry config virtualenvs.create false
-        poetry build
-        poetry publish
+      - name: Checkout
+        uses: actions/checkout@v6
+
+      - name: Set up Python
+        uses: actions/setup-python@v5
+        with:
+          python-version: "latest"
+          cache: "pip"
+
+      - name: Install release tooling
+        run: |
+          python -m pip install --upgrade pip
+          python -m pip install poetry twine
+
+      - name: Validate package metadata
+        run: poetry check
+
+      - name: Install dependencies
+        run: poetry install --with dev
+
+      - name: Run tests
+        run: poetry run pytest -q
+
+      - name: Build distributions
+        run: poetry build
+
+      - name: Check distributions
+        run: twine check dist/*
+
+      - name: Publish to PyPI
+        env:
+          POETRY_PYPI_TOKEN_PYPI: ${{ secrets.PYPI_API_TOKEN }}
+        run: poetry publish

.gitignore

@@ -225,3 +225,4 @@ $RECYCLE.BIN/
 
 .vscode/
 archive/
+pytest-cache-files-*/

README.md

@@ -15,12 +15,16 @@ The Stock Analysis Program is a Python-based toolkit designed to fetch and visua
 
 ## Installation
 
-To use this program, ensure you have Python installed on your system. Clone this repository and install the required dependencies:
+Install the package from PyPI:
 
 ```bash
-git clone https://github.com/visionary-code-works/stock-analysis-program.git
-cd stock-analysis-program
-pip install -r requirements.txt
+pip install stock-analysis-program
+```
+
+The package also installs a small command-line menu:
+
+```bash
+stock-analysis
 ```
 
 ## Usage
@@ -46,13 +50,24 @@ The program consists of multiple Python classes categorized into Fetchers and Pl
 ### Example
 
 ```python
-from plotter.stock_price_plotter import StockPricePlotter
+from stock_analysis_program import StockPricePlotter
 
 # Plotting stock prices for Apple and Microsoft
 price_plotter = StockPricePlotter(['AAPL', 'MSFT'])
 price_plotter.plot_closing_prices('2021-01-01', '2021-12-31')
 ```
 
+Plotter methods return Matplotlib figure and axes objects for notebook,
+testing, or dashboard usage:
+
+```python
+figures = price_plotter.plot_closing_prices(
+    '2021-01-01',
+    '2021-12-31',
+    show=False,
+)
+```
+
 ## Documentation
 
 For detailed documentation on each component, please refer to the `docs` directory.

docs/CHANGELOG.md

@@ -1,3 +1,13 @@
+## v1.2.0
+
+- Added the `stock-analysis` console command through the package metadata.
+- Moved CLI behavior into `stock_analysis_program.cli` and kept root `main.py` as a compatibility wrapper.
+- Standardized public imports around `stock_analysis_program`.
+- Updated plotter methods to return Matplotlib figure/axes objects and support `show=False`.
+- Added ticker normalization and clearer empty-data validation for fetchers and plotters.
+- Replaced network-dependent tests with mocked provider tests.
+- Updated README and documentation examples for PyPI installation and package imports.
+
 To rewrite the provided code as a set of classes, we need to organize the functionalities into logical units that represent distinct aspects of the operations. The code you provided contains various functions for fetching and analyzing stock data using the `yfinance` library. Here's how we can organize these functionalities into classes:
 
 1. **StockAveragesFetcher**: Handles the fetching and calculation of moving averages and average trading volume for a single stock ticker.

docs/documentation.md

@@ -80,7 +80,7 @@ flowchart LR
 Each fetcher class can be used independently to retrieve specific data. For example:
 
 ```python
-from fetcher.stock_summary_fetcher import StockSummaryFetcher
+from stock_analysis_program import StockSummaryFetcher
 
 # Fetching stock summaries
 summary_fetcher = StockSummaryFetcher(['AAPL', 'MSFT'])
@@ -93,7 +93,7 @@ print(summaries)
 Plotters are used for visualizing data. They often depend on fetchers to get the necessary data. For example:
 
 ```python
-from plotter.stock_price_plotter import StockPricePlotter
+from stock_analysis_program import StockPricePlotter
 
 # Plotting stock prices
 price_plotter = StockPricePlotter(['AAPL', 'MSFT'])
@@ -121,8 +121,7 @@ To extend the program:
 Here's an example of how to integrate multiple components in a larger program:
 
 ```python
-from fetcher.revenue_growth_fetcher import RevenueGrowthFetcher
-from plotter.revenue_growth_plotter import RevenueGrowthPlotter
+from stock_analysis_program import RevenueGrowthFetcher, RevenueGrowthPlotter
 
 def plot_revenue_growth(tickers):
     # Fetching revenue growth