Initial commit with db and tests

Author: IsaacMulberry

.gitignore

@@ -0,0 +1,81 @@
+# Byte-compiled / optimized / DLL files
+__pycache__/
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+
+# PyInstaller
+#  Usually these files are written by a python script from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython
+
+.egg-info

.vscode/settings.json

@@ -0,0 +1,7 @@
+{
+    "python.testing.pytestArgs": [
+        "."
+    ],
+    "python.testing.unittestEnabled": false,
+    "python.testing.pytestEnabled": true
+}

README.md

@@ -60,3 +60,14 @@ They've suggested a public dataset from Kaggle to seed your product catalogue:
 - You do **not need to deploy** the application — running locally is perfectly fine.
 - **Code quality is important** to StyleDen.  
   Your solution should be **well-designed** and **written in a test-driven manner**.
+
+
+---
+
+## Design Doc from ChatGPT
+
+https://chatgpt.com/share/680cb4dd-78b0-8000-9039-0861c2b0e24c
+
+## Local Setup steps
+
+`pip install -e .[dev]`

data/styles.csv

@@ -0,0 +1,35 @@
+[build-system]
+requires = ["setuptools", "setuptools-scm"]
+build-backend = "setuptools.build_meta"
+
+[project]
+name = "styleden_api"
+version = "0"
+
+dependencies = ["fastapi", "uvicorn[standard]", "pandas"]
+
+[project.optional-dependencies]
+dev = ["pytest", "pytest-mock", "pytest-asyncio", "pytest-httpx", "ruff"]
+[tool.pytest.ini_options]
+addopts = ["--import-mode=importlib"]
+
+[tool.ruff]
+# Assume Python 3.11
+target-version = "py311"
+# Set src directory for import order
+src = ["src"]
+
+[tool.ruff.lint]
+# Enable pycodestyle (`E`) & (`W`), Pyflakes (`F`), flake8-bandit (`S`), flake8-bugbear (`B`), flake8-annotations (`ANN`) and isort (`I`)
+select = ["E", "W", "F", "S", "B", "ANN", "I"]
+ignore = [
+    "ANN101", # Deprecated rule
+    "ANN204", # Ignore return types on "special" methods, like __init__, __new__, and __call__
+]
+
+[tool.ruff.lint.per-file-ignores]
+"tests/*.py" = [
+    "S101",   # asserts are allowed in tests
+    "ANN201", # No type return needed in tests
+    "ANN001", # No input type needed in tests
+]

fashion_items.db

@@ -0,0 +1,27 @@
+import sqlite3
+
+import pandas as pd
+
+
+def seed_database(csv_file="data/styles.csv", db_file="fashion_items.db"):
+    # Load the CSV data into a pandas DataFrame
+    df = pd.read_csv(csv_file)
+
+    # Create a SQLite database connection
+    conn = sqlite3.connect(db_file)
+
+    # Write the DataFrame to a SQLite table
+    table_name = "fashion_items"
+    df.to_sql(table_name, conn, if_exists="replace", index=False)
+
+    # Close the database connection
+    conn.close()
+
+    print(
+        f"Data from {csv_file} has been successfully loaded into the SQLite database '{db_file}' in the table '{table_name}'."
+    )
+
+
+# Run the seed script if executed directly
+if __name__ == "__main__":
+    seed_database()

pyproject.toml

@@ -0,0 +1,35 @@
+import os
+import sqlite3
+
+import db_import
+import pandas as pd
+
+
+# Test for the database seed script
+def test_db_seed():
+    # Ensure the database file does not exist before the test
+    db_file = 'test_fashion_items.db'
+    if os.path.exists(db_file):
+        os.remove(db_file)
+
+    # Run the seed script with the test database file
+    db_import.seed_database(db_file=db_file)
+
+    # Verify the database file was created
+    assert os.path.exists(db_file), "Database file was not created."
+
+    # Verify the table and data
+    conn = sqlite3.connect(db_file)
+    cursor = conn.cursor()
+
+    # Check if the table exists
+    cursor.execute("SELECT name FROM sqlite_master WHERE type='table' AND name='fashion_items';")
+    assert cursor.fetchone() is not None, "Table 'fashion_items' was not created."
+
+    # Check if data was inserted
+    df = pd.read_sql_query("SELECT * FROM fashion_items;", conn)
+    assert not df.empty, "Table 'fashion_items' is empty."
+
+    # Clean up
+    conn.close()
+    os.remove(db_file)