Controllers added updated implementations and tests awaits

.python-version

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+3.12

ApiServices/Dockerfile

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+FROM python:3.12-slim
+
+WORKDIR /
+
+# Install system dependencies and Poetry
+RUN apt-get update && apt-get install -y --no-install-recommends gcc \
+    && rm -rf /var/lib/apt/lists/* && pip install --no-cache-dir poetry
+
+# Copy Poetry configuration
+COPY /pyproject.toml ./pyproject.toml
+
+# Configure Poetry and install dependencies with optimizations
+RUN poetry config virtualenvs.create false \
+    && poetry install --no-interaction --no-ansi --no-root --only main \
+    && pip cache purge && rm -rf ~/.cache/pypoetry
+
+# Copy application code
+COPY /ApiServices .
+COPY /Controllers /Controllers
+
+# Set Python path to include app directory
+ENV PYTHONPATH=/ PYTHONUNBUFFERED=1 PYTHONDONTWRITEBYTECODE=1
+
+# Run the application using the configured uvicorn server
+CMD ["poetry", "run", "python", "app.py"]

ApiServices/app.py

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+import time
+
+from Controllers.Postgres.config import postgres_configs
+from Controllers.Mongo.config import mongo_configs
+
+
+if __name__ == "__main__":
+    print(f"Hello from the Test Service {mongo_configs.url}")
+    print(f"Hello from the Test Service {postgres_configs.url}")
+    while True:
+        time.sleep(10)

Controllers/Mongo/config.py

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+from pydantic_settings import BaseSettings, SettingsConfigDict
+
+
+class Configs(BaseSettings):
+    """
+    MongoDB configuration settings.
+    """
+
+    USER: str = ""
+    PASSWORD: str = ""
+    HOST: str = ""
+    PORT: int = 0
+    DB: str = ""
+    ENGINE: str = ""
+
+    @property
+    def url(self):
+        """Generate the database URL."""
+        return f"{self.ENGINE}://{self.USER}:{self.PASSWORD}@{self.HOST}:{self.PORT}/{self.DB}?retryWrites=true&w=majority"
+
+    model_config = SettingsConfigDict(env_prefix="MONGO_")
+
+
+mongo_configs = Configs()  #  singleton instance of the MONGODB configuration settings

Controllers/Mongo/database.py

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+import time
+import functools
+
+from pymongo import MongoClient
+from pymongo.errors import PyMongoError
+from config import mongo_configs
+
+
+def retry_operation(max_attempts=3, delay=1.0, backoff=2.0, exceptions=(PyMongoError,)):
+    """
+    Decorator for retrying MongoDB operations with exponential backoff.
+
+    Args:
+        max_attempts: Maximum number of retry attempts
+        delay: Initial delay between retries in seconds
+        backoff: Multiplier for delay after each retry
+        exceptions: Tuple of exceptions to catch and retry
+    """
+
+    def decorator(func):
+        @functools.wraps(func)
+        def wrapper(*args, **kwargs):
+            mtries, mdelay = max_attempts, delay
+            while mtries > 1:
+                try:
+                    return func(*args, **kwargs)
+                except exceptions as e:
+                    time.sleep(mdelay)
+                    mtries -= 1
+                    mdelay *= backoff
+            return func(*args, **kwargs)
+
+        return wrapper
+
+    return decorator
+
+
+class MongoDBConfig:
+    """
+    Configuration class for MongoDB connection settings.
+    """
+
+    def __init__(
+        self,
+        uri: str = "mongodb://localhost:27017/",
+        max_pool_size: int = 50,
+        min_pool_size: int = 10,
+        max_idle_time_ms: int = 30000,
+        wait_queue_timeout_ms: int = 2000,
+        server_selection_timeout_ms: int = 5000,
+        **additional_options,
+    ):
+        """
+        Initialize MongoDB configuration.
+        """
+        self.uri = uri
+        self.client_options = {
+            "maxPoolSize": max_pool_size,
+            "minPoolSize": min_pool_size,
+            "maxIdleTimeMS": max_idle_time_ms,
+            "waitQueueTimeoutMS": wait_queue_timeout_ms,
+            "serverSelectionTimeoutMS": server_selection_timeout_ms,
+            **additional_options,
+        }
+
+
+class MongoDBHandler(MongoDBConfig):
+    """
+    A MongoDB handler that provides context manager access to specific collections
+    with automatic retry capability.
+    """
+
+    _instance = None
+
+    def __new__(cls, *args, **kwargs):
+        """
+        Implement singleton pattern for the handler.
+        """
+        if cls._instance is None:
+            cls._instance = super(MongoDBHandler, cls).__new__(cls)
+            cls._instance._initialized = False
+        return cls._instance
+
+    def __init__(
+        self,
+        uri: str,
+        max_pool_size: int = 50,
+        min_pool_size: int = 10,
+        max_idle_time_ms: int = 30000,
+        wait_queue_timeout_ms: int = 2000,
+        server_selection_timeout_ms: int = 5000,
+        **additional_options,
+    ):
+        """
+        Initialize the MongoDB handler (only happens once due to singleton).
+        """
+        # Only initialize once
+        if not hasattr(self, "_initialized") or not self._initialized:
+            super().__init__(
+                uri=uri,
+                max_pool_size=max_pool_size,
+                min_pool_size=min_pool_size,
+                max_idle_time_ms=max_idle_time_ms,
+                wait_queue_timeout_ms=wait_queue_timeout_ms,
+                server_selection_timeout_ms=server_selection_timeout_ms,
+                **additional_options,
+            )
+            self._initialized = True
+
+    def collection(self, collection_name: str):
+        """
+        Get a context manager for a specific collection.
+
+        Args:
+            collection_name: Name of the collection to access
+
+        Returns:
+            A context manager for the specified collection
+        """
+        return CollectionContext(self, collection_name)
+
+
+class CollectionContext:
+    """
+    Context manager for MongoDB collections with automatic retry capability.
+    """
+
+    def __init__(self, db_handler: MongoDBHandler, collection_name: str):
+        """
+        Initialize collection context.
+
+        Args:
+            db_handler: Reference to the MongoDB handler
+            collection_name: Name of the collection to access
+        """
+        self.db_handler = db_handler
+        self.collection_name = collection_name
+        self.client = None
+        self.collection = None
+
+    def __enter__(self):
+        """
+        Enter context, establishing a new connection.
+
+        Returns:
+            The MongoDB collection object with retry capabilities
+        """
+        try:
+            # Create a new client connection
+            self.client = MongoClient(
+                self.db_handler.uri, **self.db_handler.client_options
+            )
+            self.collection = self.client.get_database()[self.collection_name]
+
+            # Enhance collection methods with retry capabilities
+            self._add_retry_capabilities()
+
+            return self.collection
+        except Exception as e:
+            if self.client:
+                self.client.close()
+            raise
+
+    def _add_retry_capabilities(self):
+        """
+        Add retry capabilities to collection methods.
+        """
+        # Store original methods
+        original_insert_one = self.collection.insert_one
+        original_insert_many = self.collection.insert_many
+        original_find_one = self.collection.find_one
+        original_find = self.collection.find
+        original_update_one = self.collection.update_one
+        original_update_many = self.collection.update_many
+        original_delete_one = self.collection.delete_one
+        original_delete_many = self.collection.delete_many
+        original_replace_one = self.collection.replace_one
+        original_count_documents = self.collection.count_documents
+
+        # Add retry capabilities to methods
+        self.collection.insert_one = retry_operation()(original_insert_one)
+        self.collection.insert_many = retry_operation()(original_insert_many)
+        self.collection.find_one = retry_operation()(original_find_one)
+        self.collection.find = retry_operation()(original_find)
+        self.collection.update_one = retry_operation()(original_update_one)
+        self.collection.update_many = retry_operation()(original_update_many)
+        self.collection.delete_one = retry_operation()(original_delete_one)
+        self.collection.delete_many = retry_operation()(original_delete_many)
+        self.collection.replace_one = retry_operation()(original_replace_one)
+        self.collection.count_documents = retry_operation()(original_count_documents)
+
+    def __exit__(self, exc_type, exc_val, exc_tb):
+        """
+        Exit context, closing the connection.
+        """
+        if self.client:
+            self.client.close()
+            self.client = None
+            self.collection = None
+
+
+mongo_handler = MongoDBHandler(
+    uri=mongo_configs.url,
+    db_name=mongo_configs.DB,
+    max_pool_size=100,
+    min_pool_size=20,
+    max_idle_time_ms=60000,
+)

Controllers/Mongo/implementations.py

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+# Initialize the MongoDB handler with your configuration
+from Controllers.Mongo.database import mongo_handler
+
+
+# Use the collection with automatic retry capabilities
+with mongo_handler.collection("users") as users_collection:
+
+    # These operations will automatically retry on failure
+    users_collection.insert_one({"username": "john", "email": "john@example.com"})
+
+    # Find operations also have retry capabilities
+    user = users_collection.find_one({"username": "john"})
+
+    # Update operations will retry if they encounter transient errors
+    users_collection.update_one(
+        {"username": "john"}, {"$set": {"last_login": "2025-03-31"}}
+    )

Controllers/Postgres/config.py

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+from pydantic_settings import BaseSettings, SettingsConfigDict
+
+"""
+    pool_pre_ping=True,  # Verify connection before using
+    pool_size=20,  # Maximum number of permanent connections
+    max_overflow=10,  # Maximum number of additional connections
+    pool_recycle=600,  # Recycle connections after 1 hour
+    pool_timeout=30,  # Wait up to 30 seconds for a connection
+    echo=True,  # Set to True for debugging SQL queries
+"""
+
+
+class Configs(BaseSettings):
+    """
+    Postgresql configuration settings.
+    """
+
+    DB: str = ""
+    USER: str = ""
+    PASSWORD: str = ""
+    HOST: str = ""
+    PORT: str = 0
+    ENGINE: str = ""
+    POOL_PRE_PING: bool = True
+    POOL_SIZE: int = 20
+    MAX_OVERFLOW: int = 10
+    POOL_RECYCLE: int = 600
+    POOL_TIMEOUT: int = 30
+    ECHO: bool = True
+
+    @property
+    def url(self):
+        """Generate the database URL."""
+        return f"{self.ENGINE}://{self.USER}:{self.PASSWORD}@{self.HOST}:{self.PORT}/{self.DB}"
+
+    model_config = SettingsConfigDict(env_prefix="POSTGRES_")
+
+
+postgres_configs = (
+    Configs()
+)  #  singleton instance of the POSTGRESQL configuration settings

Controllers/Postgres/database.py

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+from contextlib import contextmanager
+from functools import lru_cache
+from typing import Generator
+from config import postgres_configs
+
+from sqlalchemy import create_engine
+from sqlalchemy.orm import declarative_base, sessionmaker, scoped_session, Session
+
+# Configure the database engine with proper pooling
+engine = create_engine(
+    postgres_configs.url,
+    pool_pre_ping=True,  # Verify connection before using
+    pool_size=20,  # Maximum number of permanent connections
+    max_overflow=10,  # Maximum number of additional connections
+    pool_recycle=600,  # Recycle connections after 1 hour
+    pool_timeout=30,  # Wait up to 30 seconds for a connection
+    echo=True,  # Set to True for debugging SQL queries
+)
+
+
+Base = declarative_base()
+
+
+# Create a cached session factory
+@lru_cache()
+def get_session_factory() -> scoped_session:
+    """Create a thread-safe session factory."""
+    session_local = sessionmaker(
+        bind=engine,
+        autocommit=False,
+        autoflush=False,
+        expire_on_commit=True,  # Prevent expired object issues
+    )
+    return scoped_session(session_local)
+
+
+# Get database session with proper connection management
+@contextmanager
+def get_db() -> Generator[Session, None, None]:
+    """Get database session with proper connection management.
+
+    This context manager ensures:
+    - Proper connection pooling
+    - Session cleanup
+    - Connection return to pool
+    - Thread safety
+
+    Yields:
+        Session: SQLAlchemy session object
+    """
+    session_factory = get_session_factory()
+    session = session_factory()
+    try:
+        yield session
+        session.commit()
+    except Exception:
+        session.rollback()
+        raise
+    finally:
+        session.close()
+        session_factory.remove()  # Clean up the session from the registry

Controllers/Redis/base.py

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+"""
+Redis key-value operations with structured data handling.
+
+This module provides a class for managing Redis key-value operations with support for:
+- Structured data storage and retrieval
+- Key pattern generation for searches
+- JSON serialization/deserialization
+- Type-safe value handling
+"""
+
+import arrow
+import json
+
+from connection import redis_cli
+from typing import Union, Dict, List, Optional, Any, ClassVar
+
+
+class RedisKeyError(Exception):
+    """Exception raised for Redis key-related errors."""
+
+    pass
+
+
+class RedisValueError(Exception):
+    """Exception raised for Redis value-related errors."""
+
+    pass
+
+
+class RedisRow:
+    """
+    Handles Redis key-value operations with structured data.
+
+    This class provides methods for:
+    - Managing compound keys with delimiters
+    - Converting between bytes and string formats
+    - JSON serialization/deserialization of values
+    - Pattern generation for Redis key searches
+
+    Attributes:
+        key: The Redis key in bytes or string format
+        value: The stored value (will be JSON serialized)
+        delimiter: Character used to separate compound key parts
+        expires_at: Optional expiration timestamp
+    """
+
+    key: Union[str, bytes]
+    value: Optional[str] = None
+    delimiter: str = ":"
+    expires_at: Optional[dict] = {"seconds": 60 * 60 * 30}
+    expires_at_string: Optional[str]
+
+    def get_expiry_time(self) -> int | None:
+        """Calculate expiry time in seconds from kwargs."""
+        time_multipliers = {"days": 86400, "hours": 3600, "minutes": 60, "seconds": 1}
+        if self.expires_at:
+            return sum(
+                int(self.expires_at.get(unit, 0)) * multiplier
+                for unit, multiplier in time_multipliers.items()
+            )
+        return None
+
+    def merge(self, set_values: List[Union[str, bytes]]) -> None:
+        """
+        Merge list of values into a single delimited key.
+
+        Args:
+            set_values: List of values to merge into key
+
+        Example:
+            >>> RedisRow.merge(["users", "123", "profile"])
+            >>> print(RedisRow.key)
+            b'users:123:profile'
+        """
+        if not set_values:
+            raise RedisKeyError("Cannot merge empty list of values")
+
+        merged = []
+        for value in set_values:
+            if value is None:
+                continue
+            if isinstance(value, bytes):
+                value = value.decode()
+            merged.append(str(value))
+
+        self.key = self.delimiter.join(merged).encode()
+
+    @classmethod
+    def regex(cls, list_keys: List[Union[str, bytes, None]]) -> str:
+        """
+        Generate Redis search pattern from list of keys.
+
+        Args:
+            list_keys: List of key parts, can include None for wildcards
+
+        Returns:
+            str: Redis key pattern with wildcards
+
+        Example:
+            >>> RedisRow.regex([None, "users", "active"])
+            '*:users:active'
+        """
+        if not list_keys:
+            return ""
+
+        # Filter and convert valid keys
+        valid_keys = []
+        for key in list_keys:
+            if key is None or str(key) == "None":
+                continue
+            if isinstance(key, bytes):
+                key = key.decode()
+            valid_keys.append(str(key))
+
+        # Build pattern
+        pattern = cls.delimiter.join(valid_keys)
+        if not pattern:
+            return ""
+
+        # Add wildcard if first key was None
+        if list_keys[0] is None:
+            pattern = f"*{cls.delimiter}{pattern}"
+        if "*" not in pattern and any([list_key is None for list_key in list_keys]):
+            pattern = f"{pattern}:*"
+        return pattern
+
+    def parse(self) -> List[str]:
+        """
+        Parse the key into its component parts.
+
+        Returns:
+            List[str]: Key parts split by delimiter
+
+        Example:
+            >>> RedisRow.key = b'users:123:profile'
+            >>> RedisRow.parse()
+            ['users', '123', 'profile']
+        """
+        if not self.key:
+            return []
+
+        key_str = self.key.decode() if isinstance(self.key, bytes) else self.key
+        return key_str.split(self.delimiter)
+
+    def feed(self, value: Union[bytes, Dict, List, str]) -> None:
+        """
+        Convert and store value in JSON format.
+
+        Args:
+            value: Value to store (bytes, dict, or list)
+
+        Raises:
+            RedisValueError: If value type is not supported
+
+        Example:
+            >>> RedisRow.feed({"name": "John", "age": 30})
+            >>> print(RedisRow.value)
+            '{"name": "John", "age": 30}'
+        """
+        try:
+            if isinstance(value, (dict, list)):
+                self.value = json.dumps(value)
+            elif isinstance(value, bytes):
+                self.value = json.dumps(json.loads(value.decode()))
+            elif isinstance(value, str):
+                self.value = value
+            else:
+                raise RedisValueError(f"Unsupported value type: {type(value)}")
+        except json.JSONDecodeError as e:
+            raise RedisValueError(f"Invalid JSON format: {str(e)}")
+
+    def modify(self, add_dict: Dict) -> None:
+        """
+        Modify existing data by merging with new dictionary.
+
+        Args:
+            add_dict: Dictionary to merge with existing data
+
+        Example:
+            >>> RedisRow.feed({"name": "John"})
+            >>> RedisRow.modify({"age": 30})
+            >>> print(RedisRow.data)
+            {"name": "John", "age": 30}
+        """
+        if not isinstance(add_dict, dict):
+            raise RedisValueError("modify() requires a dictionary argument")
+        current_data = self.row if self.row else {}
+        if not isinstance(current_data, dict):
+            raise RedisValueError("Cannot modify non-dictionary data")
+        current_data = {
+            **current_data,
+            **add_dict,
+        }
+        self.feed(current_data)
+        self.save()
+
+    def save(self):
+        """
+        Save the data to Redis with optional expiration.
+
+        Raises:
+            RedisKeyError: If key is not set
+            RedisValueError: If value is not set
+        """
+
+        if not self.key:
+            raise RedisKeyError("Cannot save data without a key")
+        if not self.value:
+            raise RedisValueError("Cannot save empty data")
+
+        if self.expires_at:
+            redis_cli.setex(
+                name=self.redis_key, time=self.get_expiry_time(), value=self.value
+            )
+            self.expires_at_string = str(
+                arrow.now()
+                .shift(seconds=self.get_expiry_time())
+                .format("YYYY-MM-DD HH:mm:ss")
+            )
+            return self.value
+        redis_cli.set(name=self.redis_key, value=self.value)
+        self.expires_at = None
+        self.expires_at_string = None
+        return self.value
+
+    def remove(self, key: str) -> None:
+        """
+        Remove a key from the stored dictionary.
+
+        Args:
+            key: Key to remove from stored dictionary
+
+        Raises:
+            KeyError: If key doesn't exist
+            RedisValueError: If stored value is not a dictionary
+        """
+        current_data = self.row
+        if not isinstance(current_data, dict):
+            raise RedisValueError("Cannot remove key from non-dictionary data")
+
+        try:
+            current_data.pop(key)
+            self.feed(current_data)
+            self.save()
+        except KeyError:
+            raise KeyError(f"Key '{key}' not found in stored data")
+
+    def delete(self) -> None:
+        """Delete the key from Redis."""
+        try:
+            redis_cli.delete(self.redis_key)
+        except Exception as e:
+            print(f"Error deleting key: {str(e)}")
+
+    @property
+    def keys(self) -> str:
+        """
+        Get key as string.
+
+        Returns:
+            str: Key in string format
+        """
+        return self.key.decode() if isinstance(self.key, bytes) else self.key
+
+    def set_key(self, key: Union[str, bytes]) -> None:
+        """
+        Set key ensuring bytes format.
+
+        Args:
+            key: Key in string or bytes format
+        """
+        if not key:
+            raise RedisKeyError("Cannot set empty key")
+        self.key = key if isinstance(key, bytes) else str(key).encode()
+
+    @property
+    def redis_key(self) -> bytes:
+        """
+        Get key in bytes format for Redis operations.
+
+        Returns:
+            bytes: Key in bytes format
+        """
+        return self.key if isinstance(self.key, bytes) else str(self.key).encode()
+
+    @property
+    def row(self) -> Union[Dict, List]:
+        """
+        Get stored value as Python object.
+
+        Returns:
+            Union[Dict, List]: Deserialized JSON data
+        """
+        try:
+            return json.loads(self.value)
+        except json.JSONDecodeError as e:
+            raise RedisValueError(f"Invalid JSON format in stored value: {str(e)}")
+
+    @property
+    def as_dict(self) -> Dict[str, Any]:
+        """
+        Get row data as dictionary.
+
+        Returns:
+            Dict[str, Any]: Dictionary with keys and value
+        """
+        return {
+            "keys": self.keys,
+            "value": self.row,
+        }

Controllers/Redis/connection.py

@@ -0,0 +1,184 @@
+import time
+
+from typing import Dict, Any, Optional
+from redis import Redis, ConnectionError, TimeoutError
+
+
+class RedisConn:
+    """
+    Redis connection manager with connection pooling, retry logic,
+    and health check capabilities.
+    """
+
+    CONNECTION_RETRIES = 3  # Number of connection retries before failing
+    RETRY_DELAY = 0.5  # Delay between retries in seconds
+    DEFAULT_TIMEOUT = 5.0  # Default connection timeout in seconds
+
+    def __init__(
+        self,
+        config: Optional[Dict[str, Any]] = None,
+        max_retries: int = CONNECTION_RETRIES,
+    ):
+        """
+        Initialize Redis connection with configuration.
+
+        Args:
+            config: Redis connection configuration dictionary. If None, uses WagRedis config.
+            max_retries: Maximum number of connection attempts.
+        """
+        self.max_retries = max_retries
+        self.config = config
+        self._redis = None
+
+        # Add default parameters if not provided
+        if "socket_timeout" not in self.config:
+            self.config["socket_timeout"] = self.DEFAULT_TIMEOUT
+        if "socket_connect_timeout" not in self.config:
+            self.config["socket_connect_timeout"] = self.DEFAULT_TIMEOUT
+        if "decode_responses" not in self.config:
+            self.config["decode_responses"] = True
+
+        # Add connection pooling settings if not provided
+        if "max_connections" not in self.config:
+            self.config["max_connections"] = 10
+
+        # Initialize the connection with retry logic
+        self._connect_with_retry()
+
+    def _connect_with_retry(self) -> None:
+        """
+        Attempt to establish a Redis connection with retry logic.
+
+        Raises:
+            Exception: If all connection attempts fail.
+        """
+        for attempt in range(1, self.max_retries + 1):
+            try:
+                self._redis = Redis(**self.config)
+                if self.check_connection():
+                    return
+            except (ConnectionError, TimeoutError) as e:
+                if attempt < self.max_retries:
+                    time.sleep(self.RETRY_DELAY)
+                else:
+                    raise Exception(
+                        f"Redis connection error after {self.max_retries} attempts: {str(e)}"
+                    )
+            except Exception as e:
+                raise
+
+    def check_connection(self) -> bool:
+        """
+        Check if the Redis connection is alive with a PING command.
+
+        Returns:
+            bool: True if connection is healthy, False otherwise.
+        """
+        try:
+            return self._redis.ping()
+        except Exception as e:
+            err = e
+            return False
+
+    def set_connection(
+        self, host: str, password: str, port: int, db: int, **kwargs
+    ) -> Redis:
+        """
+        Recreate Redis connection with new parameters.
+
+        Args:
+            host: Redis server hostname or IP
+            password: Redis authentication password
+            port: Redis server port
+            db: Redis database number
+            **kwargs: Additional Redis connection parameters
+
+        Returns:
+            Redis: The new Redis connection object
+        """
+        try:
+            # Update configuration
+            self.config = {
+                "host": host,
+                "password": password,
+                "port": port,
+                "db": db,
+                "socket_timeout": kwargs.get("socket_timeout", self.DEFAULT_TIMEOUT),
+                "socket_connect_timeout": kwargs.get(
+                    "socket_connect_timeout", self.DEFAULT_TIMEOUT
+                ),
+                "decode_responses": kwargs.get("decode_responses", True),
+                "max_connections": kwargs.get("max_connections", 10),
+            }
+
+            # Add any additional parameters
+            for key, value in kwargs.items():
+                if key not in self.config:
+                    self.config[key] = value
+
+            # Create new connection
+            self._redis = Redis(**self.config)
+            if not self.check_connection():
+                raise ConnectionError(
+                    "Failed to establish connection with new parameters"
+                )
+
+            return self._redis
+        except Exception as e:
+            raise
+
+    def get_connection_info(self) -> Dict[str, Any]:
+        """
+        Get current connection configuration details.
+
+        Returns:
+            Dict: Current connection configuration
+        """
+        # Create a copy without password for security
+        info = self.config.copy()
+        if "password" in info:
+            info["password"] = "********" if info["password"] else None
+        return info
+
+    def get_stats(self) -> Dict[str, Any]:
+        """
+        Get Redis server statistics.
+
+        Returns:
+            Dict: Redis server info
+        """
+        try:
+            return self._redis.info()
+        except Exception as e:
+            return {"error": str(e)}
+
+    @property
+    def redis(self) -> Redis:
+        """
+        Property to access the Redis client.
+
+        Returns:
+            Redis: The Redis client instance
+
+        Raises:
+            Exception: If Redis connection is not available
+        """
+        if not self._redis:
+            raise Exception("Redis client is not initialized")
+
+        # Check connection health and reconnect if necessary
+        if not self.check_connection():
+            self._connect_with_retry()
+
+        return self._redis
+
+
+# Create singleton instance with error handling
+try:
+    redis_conn = RedisConn()
+    redis_cli = redis_conn.redis
+except Exception as t:
+    # Optionally set a dummy/mock Redis client for testing or fallback behavior
+    # redis_cli = MockRedis()  # If you have a mock implementation
+    # Or raise the exception to fail fast
+    raise

Controllers/Redis/database.py

@@ -0,0 +1,350 @@
+import arrow
+
+from typing import Optional, List, Dict, Union, Iterator
+from response import RedisResponse
+from connection import redis_cli
+from base import RedisRow
+
+
+class MainConfig:
+    DATETIME_FORMAT: str = "YYYY-MM-DD HH:mm:ss"
+
+
+class RedisActions:
+    """Class for handling Redis operations with JSON data."""
+
+    @classmethod
+    def get_expiry_time(cls, expiry_kwargs: Dict[str, int]) -> int:
+        """
+        Calculate expiry time in seconds from kwargs.
+
+        Args:
+            expiry_kwargs: Dictionary with time units as keys (days, hours, minutes, seconds)
+                          and their respective values.
+
+        Returns:
+            Total expiry time in seconds.
+        """
+        time_multipliers = {"days": 86400, "hours": 3600, "minutes": 60, "seconds": 1}
+        return sum(
+            int(expiry_kwargs.get(unit, 0)) * multiplier
+            for unit, multiplier in time_multipliers.items()
+        )
+
+    @classmethod
+    def set_expiry_time(cls, expiry_seconds: int) -> Dict[str, int]:
+        """
+        Convert total seconds back into a dictionary of time units.
+
+        Args:
+            expiry_seconds: Total expiry time in seconds.
+
+        Returns:
+            Dictionary with time units and their values.
+        """
+        time_multipliers = {"days": 86400, "hours": 3600, "minutes": 60, "seconds": 1}
+        result = {}
+        remaining_seconds = expiry_seconds
+
+        if expiry_seconds < 0:
+            return {}
+
+        for unit, multiplier in time_multipliers.items():
+            if remaining_seconds >= multiplier:
+                result[unit], remaining_seconds = divmod(remaining_seconds, multiplier)
+        return result
+
+    @classmethod
+    def resolve_expires_at(cls, redis_row: RedisRow) -> str:
+        """
+        Resolve expiry time for Redis key.
+
+        Args:
+            redis_row: RedisRow object containing the redis_key.
+
+        Returns:
+            Formatted expiry time string or message indicating no expiry.
+        """
+        expiry_time = redis_cli.ttl(redis_row.redis_key)
+        if expiry_time == -1:
+            return "Key has no expiry time."
+        if expiry_time == -2:
+            return "Key does not exist."
+        return arrow.now().shift(seconds=expiry_time).format(MainConfig.DATETIME_FORMAT)
+
+    @classmethod
+    def key_exists(cls, key: Union[str, bytes]) -> bool:
+        """
+        Check if a key exists in Redis without retrieving its value.
+
+        Args:
+            key: Redis key to check.
+
+        Returns:
+            Boolean indicating if key exists.
+        """
+        return bool(redis_cli.exists(key))
+
+    @classmethod
+    def refresh_ttl(
+        cls, key: Union[str, bytes], expires: Dict[str, int]
+    ) -> RedisResponse:
+        """
+        Refresh TTL for an existing key.
+
+        Args:
+            key: Redis key to refresh TTL.
+            expires: Dictionary with time units to set new expiry.
+
+        Returns:
+            RedisResponse with operation result.
+        """
+        try:
+            if not cls.key_exists(key):
+                return RedisResponse(
+                    status=False,
+                    message="Cannot refresh TTL: Key does not exist.",
+                )
+
+            expiry_time = cls.get_expiry_time(expiry_kwargs=expires)
+            redis_cli.expire(name=key, time=expiry_time)
+
+            expires_at_string = (
+                arrow.now()
+                .shift(seconds=expiry_time)
+                .format(MainConfig.DATETIME_FORMAT)
+            )
+
+            return RedisResponse(
+                status=True,
+                message="TTL refreshed successfully.",
+                data={"key": key, "expires_at": expires_at_string},
+            )
+        except Exception as e:
+            return RedisResponse(
+                status=False,
+                message="Failed to refresh TTL.",
+                error=str(e),
+            )
+
+    @classmethod
+    def delete_key(cls, key: Union[Optional[str], Optional[bytes]]) -> RedisResponse:
+        """
+        Delete a specific key from Redis.
+
+        Args:
+            key: Redis key to delete.
+
+        Returns:
+            RedisResponse with operation result.
+        """
+        try:
+            deleted_count = redis_cli.delete(key)
+            if deleted_count > 0:
+                return RedisResponse(
+                    status=True,
+                    message="Key deleted successfully.",
+                    data={"deleted_count": deleted_count},
+                )
+            return RedisResponse(
+                status=False,
+                message="Key not found or already deleted.",
+                data={"deleted_count": 0},
+            )
+        except Exception as e:
+            return RedisResponse(
+                status=False,
+                message="Failed to delete key.",
+                error=str(e),
+            )
+
+    @classmethod
+    def delete(
+        cls, list_keys: List[Union[Optional[str], Optional[bytes]]]
+    ) -> RedisResponse:
+        """
+        Delete multiple keys matching a pattern.
+
+        Args:
+            list_keys: List of key components to form pattern for deletion.
+
+        Returns:
+            RedisResponse with operation result.
+        """
+        try:
+            regex = RedisRow().regex(list_keys=list_keys)
+            json_get = redis_cli.scan_iter(match=regex)
+
+            deleted_keys, deleted_count = [], 0
+
+            # Use pipeline for batch deletion
+            with redis_cli.pipeline() as pipe:
+                for row in json_get:
+                    pipe.delete(row)
+                    deleted_keys.append(row)
+                results = pipe.execute()
+                deleted_count = sum(results)
+
+            return RedisResponse(
+                status=True,
+                message="Keys deleted successfully.",
+                data={"deleted_count": deleted_count, "deleted_keys": deleted_keys},
+            )
+        except Exception as e:
+            return RedisResponse(
+                status=False,
+                message="Failed to delete keys.",
+                error=str(e),
+            )
+
+    @classmethod
+    def set_json(
+        cls,
+        list_keys: List[Union[str, bytes]],
+        value: Optional[Union[Dict, List]],
+        expires: Optional[Dict[str, int]] = None,
+    ) -> RedisResponse:
+        """
+        Set JSON value in Redis with optional expiry.
+
+        Args:
+            list_keys: List of key components to form Redis key.
+            value: JSON-serializable data to store.
+            expires: Optional dictionary with time units for expiry.
+
+        Returns:
+            RedisResponse with operation result.
+        """
+        redis_row = RedisRow()
+        redis_row.merge(set_values=list_keys)
+        redis_row.feed(value)
+        redis_row.expires_at_string = None
+        redis_row.expires_at = None
+
+        try:
+            if expires:
+                redis_row.expires_at = expires
+                expiry_time = cls.get_expiry_time(expiry_kwargs=expires)
+                redis_cli.setex(
+                    name=redis_row.redis_key,
+                    time=expiry_time,
+                    value=redis_row.value,
+                )
+                redis_row.expires_at_string = str(
+                    arrow.now()
+                    .shift(seconds=expiry_time)
+                    .format(MainConfig.DATETIME_FORMAT)
+                )
+            else:
+                redis_cli.set(name=redis_row.redis_key, value=redis_row.value)
+
+            return RedisResponse(
+                status=True,
+                message="Value set successfully.",
+                data=redis_row,
+            )
+        except Exception as e:
+            return RedisResponse(
+                status=False,
+                message="Failed to set value.",
+                error=str(e),
+            )
+
+    @classmethod
+    def get_json(
+        cls,
+        list_keys: List[Union[Optional[str], Optional[bytes]]],
+        limit: Optional[int] = None,
+    ) -> RedisResponse:
+        """
+        Get JSON values from Redis using pattern matching.
+
+        Args:
+            list_keys: List of key components to form pattern for retrieval.
+            limit: Optional limit on number of results to return.
+
+        Returns:
+            RedisResponse with operation result.
+        """
+        try:
+            list_of_rows, count = [], 0
+            regex = RedisRow.regex(list_keys=list_keys)
+            json_get = redis_cli.scan_iter(match=regex)
+
+            for row in json_get:
+                if limit is not None and count >= limit:
+                    break
+
+                redis_row = RedisRow()
+                redis_row.set_key(key=row)
+
+                # Use pipeline for batch retrieval
+                with redis_cli.pipeline() as pipe:
+                    pipe.get(row)
+                    pipe.ttl(row)
+                    redis_value, redis_value_expire = pipe.execute()
+                    redis_row.expires_at = cls.set_expiry_time(
+                        expiry_seconds=int(redis_value_expire)
+                    )
+                    redis_row.expires_at_string = cls.resolve_expires_at(
+                        redis_row=redis_row
+                    )
+                    redis_row.feed(redis_value)
+                    list_of_rows.append(redis_row)
+                    count += 1
+
+            if list_of_rows:
+                return RedisResponse(
+                    status=True,
+                    message="Values retrieved successfully.",
+                    data=list_of_rows,
+                )
+            return RedisResponse(
+                status=False,
+                message="No matching keys found.",
+                data=list_of_rows,
+            )
+        except Exception as e:
+            return RedisResponse(
+                status=False,
+                message="Failed to retrieve values.",
+                error=str(e),
+            )
+
+    @classmethod
+    def get_json_iterator(
+        cls, list_keys: List[Union[Optional[str], Optional[bytes]]]
+    ) -> Iterator[RedisRow]:
+        """
+        Get JSON values from Redis as an iterator for memory-efficient processing of large datasets.
+
+        Args:
+            list_keys: List of key components to form pattern for retrieval.
+
+        Returns:
+            Iterator yielding RedisRow objects.
+        """
+        regex = RedisRow.regex(list_keys=list_keys)
+        json_get = redis_cli.scan_iter(match=regex)
+
+        for row in json_get:
+            try:
+                redis_row = RedisRow()
+                redis_row.set_key(key=row)
+
+                # Use pipeline for batch retrieval
+                with redis_cli.pipeline() as pipe:
+                    pipe.get(row)
+                    pipe.ttl(row)
+                    redis_value, redis_value_expire = pipe.execute()
+                    redis_row.expires_at = cls.set_expiry_time(
+                        expiry_seconds=int(redis_value_expire)
+                    )
+                    redis_row.expires_at_string = cls.resolve_expires_at(
+                        redis_row=redis_row
+                    )
+                    redis_row.feed(redis_value)
+                    yield redis_row
+            except Exception as e:
+                err = e
+                continue

Controllers/Redis/response.py

@@ -0,0 +1,71 @@
+from typing import Union, Dict, List, Optional, Any
+from base import RedisRow
+
+
+class RedisResponse:
+    """Base class for Redis response handling."""
+
+    def __init__(
+        self,
+        status: bool,
+        message: str,
+        data: Any = None,
+        error: Optional[str] = None,
+    ):
+        self.status = status
+        self.message = message
+        self.data = data
+
+        if isinstance(data, Dict):
+            self.data_type = "dict"
+        elif isinstance(data, list):
+            self.data_type = "list"
+        elif isinstance(data, RedisRow):
+            self.data_type = "row"
+        elif data is None:
+            self.data_type = None
+        self.error = error
+
+    def as_dict(self) -> Dict:
+        data = self.all
+        main_dict = {
+            "status": self.status, "message": self.message,
+            "count": self.count, "dataType": getattr(self, "data_type", None),
+        }
+        if isinstance(data, RedisRow):
+            dict_return = {data.keys: data.row}
+            dict_return.update(dict(main_dict))
+            return dict_return
+        elif isinstance(data, list):
+            dict_return = {}
+            for row in data:
+                if isinstance(row, RedisRow):
+                    dict_return.update({row.keys: row.row})
+            dict_return.update(dict(main_dict))
+            return dict_return
+        return main_dict
+
+    @property
+    def all(self) -> Union[Optional[List[RedisRow]]]:
+        return self.data or []
+
+    @property
+    def count(self) -> int:
+        row = self.all
+        if isinstance(row, list):
+            return len(row)
+        elif isinstance(row, RedisRow):
+            return 1
+        return 0
+
+    @property
+    def first(self) -> Union[RedisRow, Dict, None]:
+        if self.data:
+            if isinstance(self.data, list):
+                if isinstance(self.data[0], RedisRow):
+                    return self.data[0].row
+                return self.data[0]
+            elif isinstance(self.data, RedisRow):
+                return self.data.row
+        self.status = False
+        return None

api_env.env

@@ -0,0 +1,18 @@
+MONGO_ENGINE=mongodb
+MONGO_DB=mongodb
+MONGO_HOST=mongo_service
+MONGO_PORT=27017
+MONGO_USER=mongo_user
+MONGO_PASSWORD=mongo_password
+POSTGRES_DB=POSTGRES_DB
+POSTGRES_USER=POSTGRES_USER
+POSTGRES_PASSWORD=POSTGRES_PASSWORD
+POSTGRES_HOST=POSTGRES_HOST
+POSTGRES_PORT=1155
+POSTGRES_ENGINE=POSTGRES_ENGINE
+POSTGRES_POOL_PRE_PING=True
+POSTGRES_POOL_SIZE=20
+POSTGRES_MAX_OVERFLOW=10
+POSTGRES_POOL_RECYCLE=600
+POSTGRES_POOL_TIMEOUT=30
+POSTGRES_ECHO=True

docker-compose.yml

@@ -0,0 +1,9 @@
+services:
+
+  test_server:
+    container_name: test_server
+    build:
+      context: .
+      dockerfile: ApiServices/Dockerfile
+    env_file:
+      - api_env.env

hello.py

@@ -0,0 +1,6 @@
+def main():
+    print("Hello from prod-wag-backend-automate-services!")
+
+
+if __name__ == "__main__":
+    main()

pyproject.toml

@@ -0,0 +1,25 @@
+[project]
+name = "prod-wag-backend-automate-services"
+version = "0.1.0"
+description = "Add your description here"
+readme = "README.md"
+requires-python = ">=3.12"
+dependencies = [
+    "alembic>=1.15.2",
+    "arrow>=1.3.0",
+    "cryptography>=44.0.2",
+    "faker>=37.1.0",
+    "fastapi>=0.115.12",
+    "pandas>=2.2.3",
+    "psycopg2-binary>=2.9.10",
+    "pydantic-settings>=2.8.1",
+    "pymongo>=4.11.3",
+    "redbox>=0.2.1",
+    "redis>=5.2.1",
+    "redmail>=0.6.0",
+    "requests>=2.32.3",
+    "sqlalchemy-mixins>=2.0.5",
+    "textdistance>=4.6.3",
+    "unidecode>=1.3.8",
+    "uvicorn>=0.34.0",
+]

uv.lock

@@ -0,0 +1,827 @@
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+requires-python = ">=3.12"
+
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+name = "alembic"
+version = "1.15.2"
+source = { registry = "https://pypi.org/simple" }
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+]
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+]
+
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+name = "annotated-types"
+version = "0.7.0"
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+[[package]]
+name = "anyio"
+version = "4.9.0"
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