Deleted few files

logger.py

@@ -1,51 +0,0 @@
-# import logging
-# import os
-
-# # Define absolute path for logs
-# LOG_DIR = "/app/logs"
-# LOG_FILE = os.path.join(LOG_DIR, "backend.log")
-
-# # Ensure the logs directory exists
-# os.makedirs(LOG_DIR, exist_ok=True)
-
-# # Configure logging settings
-# logging.basicConfig(
-#     format="%(asctime)s - %(levelname)s - %(message)s",
-#     level=logging.INFO,
-#     handlers=[
-#         logging.FileHandler(LOG_FILE),  # Use absolute path
-#         logging.StreamHandler()  # Print logs to the console
-#     ]
-# )
-
-# logger = logging.getLogger(__name__)
-
-# if __name__ == "__main__":
-#     logger.info("Logger is set up correctly!")
-
-import logging
-import os
-
-# Define relative path for logs
-LOG_DIR = "logs"
-LOG_FILE = os.path.join(LOG_DIR, "backend.log")
-
-# Ensure the logs directory exists
-os.makedirs(LOG_DIR, exist_ok=True)
-
-# Configure logging settings
-logging.basicConfig(
-    format="%(asctime)s - %(levelname)s - %(message)s",
-    level=logging.INFO,
-    handlers=[
-        logging.FileHandler(LOG_FILE),  # Use relative path
-        logging.StreamHandler()  # Print logs to the console
-    ]
-)
-
-logger = logging.getLogger(__name__)
-
-if __name__ == "__main__":
-    logger.info("Logger is set up correctly!")
-
-

logs/app.log

@@ -1,22 +0,0 @@
-2025-02-08 10:29:41,633 - INFO - CSV file loaded successfully.
-2025-02-08 10:29:41,645 - INFO - Started server process [17300]
-2025-02-08 10:29:41,650 - INFO - Waiting for application startup.
-2025-02-08 10:29:41,652 - INFO - Application startup complete.
-2025-02-08 10:30:46,646 - INFO - Shutting down
-2025-02-08 10:30:46,755 - INFO - Waiting for application shutdown.
-2025-02-08 10:30:46,757 - INFO - Application shutdown complete.
-2025-02-08 10:30:46,759 - INFO - Finished server process [17300]
-2025-02-08 10:31:37,797 - INFO - CSV file loaded successfully.
-2025-02-08 10:31:37,819 - INFO - Starting FastAPI application...
-2025-02-08 10:31:37,826 - INFO - Started server process [5848]
-2025-02-08 10:31:37,838 - INFO - Waiting for application startup.
-2025-02-08 10:31:37,842 - INFO - Application startup complete.
-2025-02-08 10:42:11,654 - INFO - Shutting down
-2025-02-08 10:42:11,762 - INFO - Waiting for application shutdown.
-2025-02-08 10:42:11,767 - INFO - Application shutdown complete.
-2025-02-08 10:42:11,772 - INFO - Finished server process [5848]
-2025-02-08 10:42:14,024 - INFO - CSV file loaded successfully.
-2025-02-08 10:42:14,035 - INFO - Starting FastAPI application...
-2025-02-08 10:42:14,039 - INFO - Started server process [13436]
-2025-02-08 10:42:14,043 - INFO - Waiting for application startup.
-2025-02-08 10:42:14,045 - INFO - Application startup complete.

logs/backend.log

@@ -1,5 +0,0 @@
-2025-02-12 11:16:48,494 - INFO - CSV file loaded successfully.
-2025-02-12 11:16:48,817 - INFO - Started server process [19640]
-2025-02-12 11:16:48,820 - INFO - Waiting for application startup.
-2025-02-12 11:16:48,823 - INFO - Application startup complete.
-2025-02-12 11:16:48,825 - INFO - Uvicorn running on http://0.0.0.0:8000 (Press CTRL+C to quit)

models/pydantic_model.py

@@ -1,20 +0,0 @@
-from pydantic import BaseModel, Field, field_validator
-from typing import List, Union
-
-# Pydantic Model for Response Validation
-class ContinentStats(BaseModel):
-    continent: str = Field(..., title="Continent Name", example="Asia")
-    Total_Countries: int = Field(..., title="Total Number of Countries", example=48)
-    Total_Population: int = Field(..., title="Total Population", example=4600000000)
-    Average_Population: float = Field(..., title="Average Population Per Country", example=96000000)
-    Total_Area: int = Field(..., title="Total Land Area (sq km)", example=44679000)
-    max_population: int = Field(..., title="Highest Country Population", example=1400000000)
-    min_population: int = Field(..., title="Lowest Country Population", example=100000)
-    Population_Density: float = Field(..., title="Population Density (people/sq km)", example=103)
-
-    @field_validator("Total_Countries", "Total_Population", "Total_Area", "max_population", "min_population")
-    @classmethod
-    def must_be_positive(cls, value):
-        if value < 0:
-            raise ValueError("Value must be non-negative")
-        return value

routers/continent.py

@@ -1,11 +0,0 @@
-from fastapi import APIRouter
-from services.continent_services import get_continent_data
-from models.pydantic_model import ContinentStats
-
-router = APIRouter()
-
-@router.get("/{continent}/", response_model=ContinentStats)
-def get_continent_stats(continent: str):
-    return get_continent_data(continent)
-
-

services/continent_services.py

@@ -1,49 +0,0 @@
-import pandas as pd
-# from backend.population_pandas import get_continents, get_continent_data
-from Backend.logger import logger
-
-import os
-
-# file_path = os.path.join(os.path.dirname(__file__), "../../data/world_population.csv")
-file_path = os.path.join(os.path.dirname(__file__), "../data/world_population.csv")
-# file_path = os.path.abspath(file_path)  # Convert to absolute path
-
-file_path = os.path.abspath(file_path)  # Convert to absolute path
-try:
-    df = pd.read_csv(file_path)
-    logger.info(f"CSV file loaded successfully from: {file_path}")
-except Exception as e:
-    logger.error(f"Error loading CSV file from {file_path}: {e}")
-    df = None  # Prevent NameError if file loading fails
-
-if df is not None:
-    # Perform the aggregations only if df is successfully loaded
-    continent_stats = df.groupby("Continent").agg(
-        Total_Countries=('Country', 'count'),
-        Total_Population=('Population', 'sum'),
-        Average_Population=('Population', 'mean'),
-        Total_Area=('Area', 'sum'),
-        max_population=('Population', 'max'),
-        min_population=('Population', 'min'),
-        Country_Max_Population=('Population', lambda x: df.loc[x.idxmax(), 'Country']),
-        Country_Min_Population=('Population', lambda x: df.loc[x.idxmin(), 'Country'])
-    ).reset_index()
-
-    # Compute Population Density
-    continent_stats["Population_Density"] = (
-        continent_stats["Total_Population"] / continent_stats["Total_Area"]
-    )
-
-    logger.info("Data processing completed.")
-
-
-def get_continent_data(continent):
-    """Returns statistics for a specific continent."""
-    logger.info(f"Fetching data for continent: {continent}")
-    result = continent_stats[continent_stats["Continent"] == continent].squeeze()
-
-    if result.empty:
-        logger.warning(f"No data found for continent: {continent}")
-        return {}
-
-    return result.to_dict()