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//! Graph algorithms for episode relationship analysis.
//!
//! This module provides graph traversal and analysis algorithms for detecting
//! cycles, finding paths, and computing transitive closures in episode relationship graphs.
use ;
use Uuid;
use EpisodeRelationship;
use GraphError;
pub use ;
/// Check if a path exists from start to end using DFS.
///
/// # Arguments
///
/// * `adjacency_list` - The graph represented as an adjacency list
/// * `start` - The starting node (episode ID)
/// * `end` - The target node (episode ID)
///
/// # Returns
///
/// `Ok(true)` if a path exists, `Ok(false)` otherwise, or `Err(GraphError)` on error.
///
/// # Examples
///
/// ```
/// use std::collections::HashMap;
/// use do_memory_core::episode::graph_algorithms::has_path_dfs;
/// use do_memory_core::episode::{EpisodeRelationship, RelationshipType, RelationshipMetadata};
/// use uuid::Uuid;
///
/// let mut graph = HashMap::new();
/// let a = Uuid::new_v4();
/// let b = Uuid::new_v4();
///
/// graph.insert(a, vec![EpisodeRelationship::new(
/// a, b, RelationshipType::DependsOn, RelationshipMetadata::default()
/// )]);
///
/// assert!(has_path_dfs(&graph, a, b).unwrap());
/// assert!(!has_path_dfs(&graph, b, a).unwrap());
/// ```
/// Find a path from start to end, returning the episode IDs in order.
///
/// # Arguments
///
/// * `adjacency_list` - The graph represented as an adjacency list
/// * `start` - The starting node (episode ID)
/// * `end` - The target node (episode ID)
///
/// # Returns
///
/// `Ok(Vec<Uuid>)` containing the path from start to end (inclusive),
/// or `Err(GraphError)` if no path exists.
///
/// # Examples
///
/// ```
/// use std::collections::HashMap;
/// use do_memory_core::episode::graph_algorithms::find_path_dfs;
/// use do_memory_core::episode::{EpisodeRelationship, RelationshipType, RelationshipMetadata};
/// use uuid::Uuid;
///
/// let mut graph = HashMap::new();
/// let a = Uuid::new_v4();
/// let b = Uuid::new_v4();
/// let c = Uuid::new_v4();
///
/// graph.insert(a, vec![EpisodeRelationship::new(
/// a, b, RelationshipType::DependsOn, RelationshipMetadata::default()
/// )]);
/// graph.insert(b, vec![EpisodeRelationship::new(
/// b, c, RelationshipType::DependsOn, RelationshipMetadata::default()
/// )]);
///
/// let path = find_path_dfs(&graph, a, c).unwrap();
/// assert_eq!(path, vec![a, b, c]);
/// ```
/// Detect if the graph contains any cycles using DFS.
///
/// Uses a three-color marking approach (white, gray, black) where:
/// - White: Node not yet visited
/// - Gray: Node is currently being processed (in recursion stack)
/// - Black: Node and all descendants fully processed
///
/// A back edge to a gray node indicates a cycle.
///
/// # Arguments
///
/// * `adjacency_list` - The graph represented as an adjacency list
///
/// # Returns
///
/// `Ok(true)` if a cycle exists, `Ok(false)` otherwise, or `Err(GraphError)` on error.
///
/// # Examples
///
/// ```
/// use std::collections::HashMap;
/// use do_memory_core::episode::graph_algorithms::has_cycle;
/// use do_memory_core::episode::{EpisodeRelationship, RelationshipType, RelationshipMetadata};
/// use uuid::Uuid;
///
/// // Create a cyclic graph: A -> B -> A
/// let mut graph = HashMap::new();
/// let a = Uuid::new_v4();
/// let b = Uuid::new_v4();
///
/// graph.insert(a, vec![EpisodeRelationship::new(
/// a, b, RelationshipType::DependsOn, RelationshipMetadata::default()
/// )]);
/// graph.insert(b, vec![EpisodeRelationship::new(
/// b, a, RelationshipType::DependsOn, RelationshipMetadata::default()
/// )]);
///
/// assert!(has_cycle(&graph).unwrap());
/// ```
/// Perform topological sort on the graph.
///
/// Returns nodes in an order where all dependencies come before dependent nodes.
/// Only works on directed acyclic graphs (DAGs).
///
/// # Arguments
///
/// * `adjacency_list` - The graph represented as an adjacency list
///
/// # Returns
///
/// `Ok(Vec<Uuid>)` containing topologically sorted nodes,
/// or `Err(GraphError)` if the graph contains cycles.
///
/// # Examples
///
/// ```
/// use std::collections::HashMap;
/// use do_memory_core::episode::graph_algorithms::topological_sort;
/// use do_memory_core::episode::{EpisodeRelationship, RelationshipType, RelationshipMetadata};
/// use uuid::Uuid;
///
/// // Create a DAG: A -> B, A -> C, B -> C
/// let mut graph = HashMap::new();
/// let a = Uuid::new_v4();
/// let b = Uuid::new_v4();
/// let c = Uuid::new_v4();
///
/// graph.insert(a, vec![
/// EpisodeRelationship::new(a, b, RelationshipType::DependsOn, RelationshipMetadata::default()),
/// EpisodeRelationship::new(a, c, RelationshipType::DependsOn, RelationshipMetadata::default()),
/// ]);
/// graph.insert(b, vec![
/// EpisodeRelationship::new(b, c, RelationshipType::DependsOn, RelationshipMetadata::default()),
/// ]);
///
/// let sorted = topological_sort(&graph).unwrap();
/// // A should come before B and C, B should come before C
/// let a_pos = sorted.iter().position(|x| *x == a).unwrap();
/// let b_pos = sorted.iter().position(|x| *x == b).unwrap();
/// let c_pos = sorted.iter().position(|x| *x == c).unwrap();
/// assert!(a_pos < b_pos);
/// assert!(a_pos < c_pos);
/// assert!(b_pos < c_pos);
/// ```
/// Get all episodes reachable from the starting episode using BFS.
///
/// Computes the transitive closure (all descendants) of the starting node.
/// The starting node itself is NOT included in the result.
///
/// # Arguments
///
/// * `adjacency_list` - The graph represented as an adjacency list
/// * `start` - The starting node (episode ID)
///
/// # Returns
///
/// `Ok(HashSet<Uuid>)` containing all reachable episode IDs (excluding start),
/// or `Err(GraphError)` on error.
///
/// # Examples
///
/// ```
/// use std::collections::HashMap;
/// use do_memory_core::episode::graph_algorithms::get_transitive_closure;
/// use do_memory_core::episode::{EpisodeRelationship, RelationshipType, RelationshipMetadata};
/// use uuid::Uuid;
///
/// // Create graph: A -> B -> C, A -> D
/// let mut graph = HashMap::new();
/// let a = Uuid::new_v4();
/// let b = Uuid::new_v4();
/// let c = Uuid::new_v4();
/// let d = Uuid::new_v4();
///
/// graph.insert(a, vec![
/// EpisodeRelationship::new(a, b, RelationshipType::DependsOn, RelationshipMetadata::default()),
/// EpisodeRelationship::new(a, d, RelationshipType::DependsOn, RelationshipMetadata::default()),
/// ]);
/// graph.insert(b, vec![
/// EpisodeRelationship::new(b, c, RelationshipType::DependsOn, RelationshipMetadata::default()),
/// ]);
///
/// let reachable = get_transitive_closure(&graph, a).unwrap();
/// assert!(reachable.contains(&b));
/// assert!(reachable.contains(&c));
/// assert!(reachable.contains(&d));
/// assert!(!reachable.contains(&a)); // Start node not included
/// ```
/// Get all ancestors of an episode (nodes that can reach this episode).
///
/// # Arguments
///
/// * `adjacency_list` - The graph represented as an adjacency list
/// * `target` - The target episode ID
///
/// # Returns
///
/// `Ok(HashSet<Uuid>)` containing all ancestor episode IDs (excluding target),
/// or `Err(GraphError)` on error.
/// Find all simple cycles in the graph starting from a given node.
///
/// # Arguments
///
/// * `adjacency_list` - The graph represented as an adjacency list
/// * `start` - The starting node to search for cycles
///
/// # Returns
///
/// `Ok(Vec<Vec<Uuid>>)` containing all cycles (each cycle is a path from start back to start),
/// or `Err(GraphError)` on error.