Resource Path Helpers

@staticmethod
def connection_path(project: str, location: str, connection: str) -> str:
    """
    Returns a fully-qualified connection string.
    
    Parameters:
    - project: Project ID or project number
    - location: Location/region identifier
    - connection: Connection identifier
    
    Returns:
    str: Connection resource path in format 'projects/{project}/locations/{location}/connections/{connection}'
    """

@staticmethod
def parse_connection_path(path: str) -> Dict[str, str]:
    """
    Parses a connection path into its component parts.
    
    Parameters:
    - path: Connection resource path
    
    Returns:
    Dict[str, str]: Dictionary with keys 'project', 'location', 'connection'
    
    Raises:
    ValueError: If the path is not a valid connection path
    """

from google.cloud.bigquery_connection import ConnectionServiceClient

client = ConnectionServiceClient()

# Construct connection path
connection_path = client.connection_path(
    project="my-project",
    location="us-central1", 
    connection="analytics-db"
)
print(connection_path)
# Output: projects/my-project/locations/us-central1/connections/analytics-db

# Parse connection path
path_components = client.parse_connection_path(connection_path)
print(path_components)
# Output: {'project': 'my-project', 'location': 'us-central1', 'connection': 'analytics-db'}

# Use parsed components
project_id = path_components['project']
location = path_components['location']
connection_id = path_components['connection']

# Get the connection using parsed values
connection = client.get_connection(name=connection_path)

@staticmethod
def cluster_path(project: str, region: str, cluster: str) -> str:
    """
    Returns a fully-qualified cluster string.
    
    Parameters:
    - project: Project ID or project number
    - region: Region identifier
    - cluster: Cluster identifier
    
    Returns:
    str: Cluster resource path in format 'projects/{project}/regions/{region}/clusters/{cluster}'
    """

@staticmethod
def parse_cluster_path(path: str) -> Dict[str, str]:
    """
    Parses a cluster path into its component parts.
    
    Parameters:
    - path: Cluster resource path
    
    Returns:
    Dict[str, str]: Dictionary with keys 'project', 'region', 'cluster'
    
    Raises:
    ValueError: If the path is not a valid cluster path
    """

# Construct cluster path for Spark History Server
cluster_path = client.cluster_path(
    project="my-project",
    region="us-central1",
    cluster="spark-history-cluster"
)
print(cluster_path)
# Output: projects/my-project/regions/us-central1/clusters/spark-history-cluster

# Use in Spark connection configuration
from google.cloud.bigquery_connection import (
    Connection,
    SparkProperties,
    SparkHistoryServerConfig
)

connection = Connection()
connection.spark = SparkProperties()
connection.spark.spark_history_server_config = SparkHistoryServerConfig()
connection.spark.spark_history_server_config.dataproc_cluster = cluster_path

# Parse cluster path
cluster_components = client.parse_cluster_path(cluster_path)
print(f"Cluster: {cluster_components['cluster']} in {cluster_components['region']}")

@staticmethod
def service_path(project: str, location: str, service: str) -> str:
    """
    Returns a fully-qualified service string.
    
    Parameters:
    - project: Project ID or project number
    - location: Location/region identifier  
    - service: Service identifier
    
    Returns:
    str: Service resource path in format 'projects/{project}/locations/{location}/services/{service}'
    """

@staticmethod
def parse_service_path(path: str) -> Dict[str, str]:
    """
    Parses a service path into its component parts.
    
    Parameters:
    - path: Service resource path
    
    Returns:
    Dict[str, str]: Dictionary with keys 'project', 'location', 'service'
    
    Raises:  
    ValueError: If the path is not a valid service path
    """

# Construct service path for Dataproc Metastore
service_path = client.service_path(
    project="my-project",
    location="us-central1",
    service="analytics-metastore"
)
print(service_path)
# Output: projects/my-project/locations/us-central1/services/analytics-metastore

# Use in Spark connection configuration
from google.cloud.bigquery_connection import MetastoreServiceConfig

connection = Connection()
connection.spark = SparkProperties()
connection.spark.metastore_service_config = MetastoreServiceConfig()
connection.spark.metastore_service_config.metastore_service = service_path

# Parse service path
service_components = client.parse_service_path(service_path)
print(f"Service: {service_components['service']} in {service_components['location']}")

@staticmethod
def common_project_path(project: str) -> str:
    """
    Returns a fully-qualified project string.
    
    Parameters:
    - project: Project ID or project number
    
    Returns:
    str: Project resource path in format 'projects/{project}'
    """

@staticmethod
def parse_common_project_path(path: str) -> Dict[str, str]:
    """
    Parses a project path into its component parts.
    
    Parameters:
    - path: Project resource path
    
    Returns:
    Dict[str, str]: Dictionary with key 'project'
    """

@staticmethod
def common_location_path(project: str, location: str) -> str:
    """
    Returns a fully-qualified location string.
    
    Parameters:
    - project: Project ID or project number
    - location: Location/region identifier
    
    Returns:
    str: Location resource path in format 'projects/{project}/locations/{location}'
    """

@staticmethod
def parse_common_location_path(path: str) -> Dict[str, str]:
    """
    Parses a location path into its component parts.
    
    Parameters:
    - path: Location resource path
    
    Returns:
    Dict[str, str]: Dictionary with keys 'project', 'location'
    """

# Project path
project_path = client.common_project_path("my-project")
print(project_path)  # Output: projects/my-project

project_info = client.parse_common_project_path(project_path)
print(project_info)  # Output: {'project': 'my-project'}

# Location path (parent for connection operations)
location_path = client.common_location_path("my-project", "us-central1")
print(location_path)  # Output: projects/my-project/locations/us-central1

location_info = client.parse_common_location_path(location_path)
print(location_info)  # Output: {'project': 'my-project', 'location': 'us-central1'}

# Use location path as parent for listing connections
connections = client.list_connections(parent=location_path)

@staticmethod
def common_billing_account_path(billing_account: str) -> str:
    """
    Returns a fully-qualified billing account string.
    
    Parameters:
    - billing_account: Billing account ID
    
    Returns:
    str: Billing account resource path in format 'billingAccounts/{billing_account}'
    """

@staticmethod
def parse_common_billing_account_path(path: str) -> Dict[str, str]:
    """
    Parses a billing account path into its component parts.
    
    Parameters:
    - path: Billing account resource path
    
    Returns:
    Dict[str, str]: Dictionary with key 'billing_account'
    """

@staticmethod
def common_folder_path(folder: str) -> str:
    """
    Returns a fully-qualified folder string.
    
    Parameters:
    - folder: Folder ID
    
    Returns:
    str: Folder resource path in format 'folders/{folder}'
    """

@staticmethod
def parse_common_folder_path(path: str) -> Dict[str, str]:
    """
    Parses a folder path into its component parts.
    
    Parameters:
    - path: Folder resource path
    
    Returns:
    Dict[str, str]: Dictionary with key 'folder'
    """

@staticmethod
def common_organization_path(organization: str) -> str:
    """
    Returns a fully-qualified organization string.
    
    Parameters:
    - organization: Organization ID
    
    Returns:
    str: Organization resource path in format 'organizations/{organization}'
    """

@staticmethod
def parse_common_organization_path(path: str) -> Dict[str, str]:
    """
    Parses an organization path into its component parts.
    
    Parameters:
    - path: Organization resource path
    
    Returns:
    Dict[str, str]: Dictionary with key 'organization'
    """

def create_connection_for_environment(env: str, region: str, conn_type: str):
    """Create connections with consistent naming patterns."""
    client = ConnectionServiceClient()
    
    # Build paths dynamically
    project_id = f"analytics-{env}"
    connection_id = f"{conn_type}-{env}-connection"
    
    parent = client.common_location_path(project_id, region)
    connection_name = client.connection_path(project_id, region, connection_id)
    
    print(f"Parent: {parent}")
    print(f"Connection: {connection_name}")
    
    # Create connection
    connection = Connection()
    connection.friendly_name = f"{conn_type.title()} {env.title()} Connection"
    
    result = client.create_connection(
        parent=parent,
        connection=connection,
        connection_id=connection_id
    )
    
    return result

# Usage
dev_connection = create_connection_for_environment("dev", "us-central1", "cloudsql")
prod_connection = create_connection_for_environment("prod", "us-central1", "cloudsql")

def analyze_connection_config(config: dict):
    """Analyze connection configuration and extract resource details."""
    client = ConnectionServiceClient()
    
    connections = config.get("connections", [])
    
    for conn_config in connections:
        connection_name = conn_config["name"]
        
        # Parse the connection path
        try:
            components = client.parse_connection_path(connection_name)
            print(f"Connection: {components['connection']}")
            print(f"  Project: {components['project']}")
            print(f"  Location: {components['location']}")
            
            # Check if connection exists
            try:
                connection = client.get_connection(name=connection_name)
                print(f"  Status: Exists ({connection.friendly_name})")
            except Exception:
                print(f"  Status: Not found")
                
        except ValueError as e:
            print(f"Invalid connection path: {connection_name} - {e}")

# Example configuration
config = {
    "connections": [
        {"name": "projects/my-project/locations/us-central1/connections/prod-db"},
        {"name": "projects/my-project/locations/eu-west1/connections/analytics-db"},
    ]
}

analyze_connection_config(config)

def validate_resource_paths(paths: dict) -> dict:
    """Validate and normalize resource paths."""
    client = ConnectionServiceClient()
    results = {}
    
    for name, path in paths.items():
        try:
            if "/connections/" in path:
                components = client.parse_connection_path(path)
                normalized = client.connection_path(**components)
                results[name] = {"valid": True, "normalized": normalized, "type": "connection"}
                
            elif "/clusters/" in path:
                components = client.parse_cluster_path(path)
                normalized = client.cluster_path(**components)
                results[name] = {"valid": True, "normalized": normalized, "type": "cluster"}
                
            elif "/services/" in path and "/locations/" in path:
                components = client.parse_service_path(path)
                normalized = client.service_path(**components)
                results[name] = {"valid": True, "normalized": normalized, "type": "service"}
                
            else:
                results[name] = {"valid": False, "error": "Unknown resource type"}
                
        except ValueError as e:
            results[name] = {"valid": False, "error": str(e)}
    
    return results

# Example usage
paths_to_validate = {
    "main_connection": "projects/my-project/locations/us-central1/connections/analytics",
    "spark_cluster": "projects/my-project/regions/us-central1/clusters/spark-cluster",
    "metastore": "projects/my-project/locations/us-central1/services/metastore",
    "invalid_path": "invalid/path/format"
}

validation_results = validate_resource_paths(paths_to_validate)
for name, result in validation_results.items():
    if result["valid"]:
        print(f"✓ {name}: {result['type']} - {result['normalized']}")
    else:
        print(f"✗ {name}: {result['error']}")

from typing import Dict

# All parse methods return string dictionaries
PathComponents = Dict[str, str]

# Example path component structures:
ConnectionComponents = Dict[str, str]  # Keys: 'project', 'location', 'connection'
ClusterComponents = Dict[str, str]     # Keys: 'project', 'region', 'cluster'  
ServiceComponents = Dict[str, str]     # Keys: 'project', 'location', 'service'
ProjectComponents = Dict[str, str]     # Keys: 'project'
LocationComponents = Dict[str, str]    # Keys: 'project', 'location'
BillingComponents = Dict[str, str]     # Keys: 'billing_account'
FolderComponents = Dict[str, str]      # Keys: 'folder'
OrganizationComponents = Dict[str, str]  # Keys: 'organization'

# Connection resource names
CONNECTION_FORMAT = "projects/{project}/locations/{location}/connections/{connection}"

# Cluster resource names (for Spark)
CLUSTER_FORMAT = "projects/{project}/regions/{region}/clusters/{cluster}"

# Service resource names (for Metastore)
SERVICE_FORMAT = "projects/{project}/locations/{location}/services/{service}"

# Common resource names
PROJECT_FORMAT = "projects/{project}"
LOCATION_FORMAT = "projects/{project}/locations/{location}"
BILLING_ACCOUNT_FORMAT = "billingAccounts/{billing_account}"
FOLDER_FORMAT = "folders/{folder}"
ORGANIZATION_FORMAT = "organizations/{organization}"

# All parse methods may raise ValueError for invalid paths
try:
    components = client.parse_connection_path(invalid_path)
except ValueError as e:
    print(f"Invalid connection path: {e}")

# Common validation patterns
def is_valid_connection_path(path: str) -> bool:
    """Check if a string is a valid connection path."""
    try:
        client.parse_connection_path(path)
        return True
    except ValueError:
        return False