Added codes to python files

Author: dimtics

.github/workflows/ci_cd.yml

@@ -0,0 +1,38 @@
+name: CI/CD
+
+on:
+  push:
+    branches: [ main ]
+  pull_request:
+    branches: [ main ]
+
+jobs:
+  test:
+    runs-on: ubuntu-latest
+    steps:
+    - uses: actions/checkout@v2
+    - name: Set up Python
+      uses: actions/setup-python@v2
+      with:
+        python-version: '3.11'
+    - name: Install dependencies
+      run: |
+        pip install uv
+        uv pip install -e .[dev]
+    - name: Run tests
+      run: pytest
+
+  deploy:
+    needs: test
+    runs-on: ubuntu-latest
+    if: github.ref == 'refs/heads/main'
+    steps:
+    - uses: actions/checkout@v2
+    - name: Build and push Docker image
+      env:
+        DOCKER_USERNAME: ${{ secrets.DOCKER_USERNAME }}
+        DOCKER_PASSWORD: ${{ secrets.DOCKER_PASSWORD }}
+      run: |
+        docker build -t your-docker-repo/stock-valuation-app:latest .
+        echo $DOCKER_PASSWORD | docker login -u $DOCKER_USERNAME --password-stdin
+        docker push your-docker-repo/stock-valuation-app:latest

Dockerfile

@@ -0,0 +1,10 @@
+FROM python:3.11-slim
+
+WORKDIR /app
+
+COPY pyproject.toml uv.lock ./
+RUN pip install uv && uv pip install -e .
+
+COPY src ./src
+
+CMD ["uvicorn", "stock_valuation_app:app", "--host", "0.0.0.0", "--port", "8000"]

docker-compose.yml

@@ -0,0 +1,8 @@
+version: '3'
+services:
+  web:
+    build: .
+    ports:
+      - "8000:8000"
+    environment:
+      - FMP_API_KEY=your_api_key_here

pyproject.toml

@@ -15,6 +15,7 @@ dependencies = [
     "polars>=1.12.0",
     "pyarrow>=18.0.0",
     "pydantic>=2.9.2",
+    "pyyaml>=6.0.2",
 ]
 
 [project.scripts]

config.yml src/stock_valuation_app/config.ymlconfig.yml renamed to src/stock_valuation_app/config.yml

@@ -0,0 +1,25 @@
+import httpx
+from pydantic import BaseModel
+
+
+class FinancialData(BaseModel):
+    revenue: float
+    netIncome: float
+    freeCashFlow: float
+    dividendsPaid: float
+
+
+class FMPClient:
+    def __init__(self, api_key: str):
+        self.base_url = "https://financialmodelingprep.com/api/v3"
+        self.api_key = api_key
+
+    async def get_financial_data(
+        self, symbol: str, limit: int = 10
+    ) -> list[FinancialData]:
+        url = f"{self.base_url}/income-statement/{symbol}?limit={limit}&apikey={self.api_key}"
+        async with httpx.AsyncClient() as client:
+            response = await client.get(url)
+            response.raise_for_status()
+            data = response.json()
+            return [FinancialData(**item) for item in data]

src/stock_valuation_app/data/fmp_client.py

@@ -0,0 +1,55 @@
+from pydantic import BaseModel, Field
+from typing import Optional, List
+
+
+class FinancialData(BaseModel):
+    revenue: float
+    net_income: float
+    free_cash_flow: float
+    dividends_paid: float
+    date: str
+
+
+class GrowthRates(BaseModel):
+    revenue: dict[str, float]
+    net_income: dict[str, float]
+    free_cash_flow: dict[str, float]
+    dividends_paid: dict[str, float]
+
+
+class StockValuation(BaseModel):
+    symbol: str
+    current_price: float
+    pe_ratio: float
+    dividend_yield: Optional[float] = None
+    growth_rates: GrowthRates
+    is_quality_dividend_growth_stock: bool
+    is_undervalued: bool
+
+
+class Stock(BaseModel):
+    symbol: str
+    company_name: str
+    sector: Optional[str] = None
+    industry: Optional[str] = None
+    financial_data: List[FinancialData]
+    valuation: Optional[StockValuation] = None
+
+    class Config:
+        schema_extra = {
+            "example": {
+                "symbol": "AAPL",
+                "company_name": "Apple Inc.",
+                "sector": "Technology",
+                "industry": "Consumer Electronics",
+                "financial_data": [
+                    {
+                        "revenue": 365817000000,
+                        "net_income": 94680000000,
+                        "free_cash_flow": 90215000000,
+                        "dividends_paid": 14467000000,
+                        "date": "2022-09-30",
+                    }
+                ],
+            }
+        }