Files
minne/html-router/src/routes/knowledge/handlers.rs
2025-04-22 16:25:30 +02:00

471 lines
14 KiB
Rust

use std::collections::{HashMap, VecDeque};
use axum::{
extract::{Path, Query, State},
response::IntoResponse,
Form,
};
use axum_htmx::{HxBoosted, HxRequest};
use plotly::{
common::{Line, Marker, Mode},
layout::{Axis, LayoutScene},
Layout, Plot, Scatter3D,
};
use serde::{Deserialize, Serialize};
use common::storage::types::{
conversation::Conversation,
knowledge_entity::{KnowledgeEntity, KnowledgeEntityType},
knowledge_relationship::KnowledgeRelationship,
user::User,
};
use crate::{
html_state::HtmlState,
middlewares::{
auth_middleware::RequireUser,
response_middleware::{HtmlError, TemplateResponse},
},
};
#[derive(Deserialize, Default)]
pub struct FilterParams {
entity_type: Option<String>,
content_category: Option<String>,
}
#[derive(Serialize)]
pub struct KnowledgeBaseData {
entities: Vec<KnowledgeEntity>,
relationships: Vec<KnowledgeRelationship>,
user: User,
plot_html: String,
entity_types: Vec<String>,
content_categories: Vec<String>,
selected_entity_type: Option<String>,
selected_content_category: Option<String>,
conversation_archive: Vec<Conversation>,
}
pub async fn show_knowledge_page(
State(state): State<HtmlState>,
RequireUser(user): RequireUser,
Query(mut params): Query<FilterParams>,
HxRequest(is_htmx): HxRequest,
HxBoosted(is_boosted): HxBoosted,
) -> Result<impl IntoResponse, HtmlError> {
// Normalize filters
params.entity_type = params.entity_type.take().filter(|s| !s.trim().is_empty());
params.content_category = params
.content_category
.take()
.filter(|s| !s.trim().is_empty());
// Load relevant data
let entity_types = User::get_entity_types(&user.id, &state.db).await?;
let content_categories = User::get_user_categories(&user.id, &state.db).await?;
// Load entities based on filters
let entities = match &params.content_category {
Some(cat) => {
User::get_knowledge_entities_by_content_category(&user.id, cat, &state.db).await?
}
None => match &params.entity_type {
Some(etype) => User::get_knowledge_entities_by_type(&user.id, etype, &state.db).await?,
None => User::get_knowledge_entities(&user.id, &state.db).await?,
},
};
let relationships = User::get_knowledge_relationships(&user.id, &state.db).await?;
let plot_html = get_plot_html(&entities, &relationships)?;
let conversation_archive = User::get_user_conversations(&user.id, &state.db).await?;
let kb_data = KnowledgeBaseData {
entities,
relationships,
user,
plot_html,
entity_types,
content_categories,
selected_entity_type: params.entity_type.clone(),
selected_content_category: params.content_category.clone(),
conversation_archive,
};
// Determine response type:
// If it is an HTMX request but NOT a boosted navigation, send partial update (main block only)
// Otherwise send full page including navbar/base for direct and boosted reloads
if is_htmx && !is_boosted {
// Partial update (just main block)
Ok(TemplateResponse::new_partial(
"knowledge/base.html",
"main",
&kb_data,
))
} else {
// Full page (includes navbar etc.)
Ok(TemplateResponse::new_template(
"knowledge/base.html",
kb_data,
))
}
}
fn get_plot_html(
entities: &[KnowledgeEntity],
relationships: &[KnowledgeRelationship],
) -> Result<String, HtmlError> {
if entities.is_empty() {
return Ok(String::new());
}
let id_to_idx: HashMap<_, _> = entities
.iter()
.enumerate()
.map(|(i, e)| (e.id.clone(), i))
.collect();
// Build adjacency list
let mut graph: Vec<Vec<usize>> = vec![Vec::new(); entities.len()];
for rel in relationships {
if let (Some(&from_idx), Some(&to_idx)) = (id_to_idx.get(&rel.out), id_to_idx.get(&rel.in_))
{
graph[from_idx].push(to_idx);
graph[to_idx].push(from_idx);
}
}
// Find clusters (connected components)
let mut visited = vec![false; entities.len()];
let mut clusters: Vec<Vec<usize>> = Vec::new();
for i in 0..entities.len() {
if !visited[i] {
let mut queue = VecDeque::new();
let mut cluster = Vec::new();
queue.push_back(i);
visited[i] = true;
while let Some(node) = queue.pop_front() {
cluster.push(node);
for &nbr in &graph[node] {
if !visited[nbr] {
visited[nbr] = true;
queue.push_back(nbr);
}
}
}
clusters.push(cluster);
}
}
// Layout params
let cluster_spacing = 20.0; // Distance between clusters
let node_spacing = 3.0; // Distance between nodes within cluster
// Arrange clusters on a Fibonacci sphere (uniform 3D positioning on unit sphere)
let cluster_count = clusters.len();
let golden_angle = std::f64::consts::PI * (3.0 - (5.0f64).sqrt());
// Will hold final positions of nodes: (x,y,z)
let mut nodes_pos = vec![(0.0f64, 0.0f64, 0.0f64); entities.len()];
for (i, cluster) in clusters.iter().enumerate() {
// Position cluster center on unit sphere scaled by cluster_spacing
let theta = golden_angle * i as f64;
let z = 1.0 - (2.0 * i as f64 + 1.0) / cluster_count as f64;
let radius = (1.0 - z * z).sqrt();
let cluster_center = (
radius * theta.cos() * cluster_spacing,
radius * theta.sin() * cluster_spacing,
z * cluster_spacing,
);
// Layout nodes within cluster as small 3D grid (cube)
// Calculate cube root to determine grid side length
let cluster_size = cluster.len();
let side_len = (cluster_size as f64).cbrt().ceil() as usize;
for (pos_in_cluster, &node_idx) in cluster.iter().enumerate() {
let x_in_cluster = (pos_in_cluster % side_len) as f64;
let y_in_cluster = ((pos_in_cluster / side_len) % side_len) as f64;
let z_in_cluster = (pos_in_cluster / (side_len * side_len)) as f64;
nodes_pos[node_idx] = (
cluster_center.0 + x_in_cluster * node_spacing,
cluster_center.1 + y_in_cluster * node_spacing,
cluster_center.2 + z_in_cluster * node_spacing,
);
}
}
let (node_x, node_y, node_z): (Vec<_>, Vec<_>, Vec<_>) = nodes_pos.iter().cloned().unzip3();
// Nodes trace
let nodes_trace = Scatter3D::new(node_x, node_y, node_z)
.mode(Mode::Markers)
.marker(Marker::new().size(8).color("#1f77b4"))
.text_array(
entities
.iter()
.map(|e| e.description.clone())
.collect::<Vec<_>>(),
)
.hover_template("Entity: %{text}<extra></extra>");
// Edges traces
let mut plot = Plot::new();
for rel in relationships {
if let (Some(&from_idx), Some(&to_idx)) = (id_to_idx.get(&rel.out), id_to_idx.get(&rel.in_))
{
let edge_x = vec![nodes_pos[from_idx].0, nodes_pos[to_idx].0];
let edge_y = vec![nodes_pos[from_idx].1, nodes_pos[to_idx].1];
let edge_z = vec![nodes_pos[from_idx].2, nodes_pos[to_idx].2];
let edge_trace = Scatter3D::new(edge_x, edge_y, edge_z)
.mode(Mode::Lines)
.line(Line::new().color("#888").width(2.0))
.hover_template(format!(
"Relationship: {}<extra></extra>",
rel.metadata.relationship_type
))
.show_legend(false);
plot.add_trace(edge_trace);
}
}
plot.add_trace(nodes_trace);
// Layout scene configuration
let layout = Layout::new()
.scene(
LayoutScene::new()
.x_axis(Axis::new().visible(false))
.y_axis(Axis::new().visible(false))
.z_axis(Axis::new().visible(false))
.camera(
plotly::layout::Camera::new()
.projection(plotly::layout::ProjectionType::Perspective.into())
.eye((2.0, 2.0, 2.0).into()),
),
)
.show_legend(false)
.paper_background_color("rgba(255,255,255,0)")
.plot_background_color("rgba(255,255,255,0)");
plot.set_layout(layout);
Ok(plot.to_html())
}
// Small utility to unzip tuple3 vectors from iterators (add this helper)
trait Unzip3<A, B, C> {
fn unzip3(self) -> (Vec<A>, Vec<B>, Vec<C>);
}
impl<I, A, B, C> Unzip3<A, B, C> for I
where
I: Iterator<Item = (A, B, C)>,
{
fn unzip3(self) -> (Vec<A>, Vec<B>, Vec<C>) {
let (mut va, mut vb, mut vc) = (Vec::new(), Vec::new(), Vec::new());
for (a, b, c) in self {
va.push(a);
vb.push(b);
vc.push(c);
}
(va, vb, vc)
}
}
pub async fn show_edit_knowledge_entity_form(
State(state): State<HtmlState>,
RequireUser(user): RequireUser,
Path(id): Path<String>,
) -> Result<impl IntoResponse, HtmlError> {
#[derive(Serialize)]
pub struct EntityData {
entity: KnowledgeEntity,
entity_types: Vec<String>,
user: User,
}
// Get entity types
let entity_types: Vec<String> = KnowledgeEntityType::variants()
.iter()
.map(|s| s.to_string())
.collect();
// Get the entity and validate ownership
let entity = User::get_and_validate_knowledge_entity(&id, &user.id, &state.db).await?;
Ok(TemplateResponse::new_template(
"knowledge/edit_knowledge_entity_modal.html",
EntityData {
entity,
user,
entity_types,
},
))
}
#[derive(Debug, Deserialize)]
pub struct PatchKnowledgeEntityParams {
pub id: String,
pub name: String,
pub entity_type: String,
pub description: String,
}
#[derive(Serialize)]
pub struct EntityListData {
entities: Vec<KnowledgeEntity>,
user: User,
entity_types: Vec<String>,
content_categories: Vec<String>,
selected_entity_type: Option<String>,
selected_content_category: Option<String>,
}
pub async fn patch_knowledge_entity(
State(state): State<HtmlState>,
RequireUser(user): RequireUser,
Form(form): Form<PatchKnowledgeEntityParams>,
) -> Result<impl IntoResponse, HtmlError> {
// Get the existing entity and validate that the user is allowed
User::get_and_validate_knowledge_entity(&form.id, &user.id, &state.db).await?;
let entity_type: KnowledgeEntityType = KnowledgeEntityType::from(form.entity_type);
// Update the entity
KnowledgeEntity::patch(
&form.id,
&form.name,
&form.description,
&entity_type,
&state.db,
&state.openai_client,
)
.await?;
// Get updated list of entities
let entities = User::get_knowledge_entities(&user.id, &state.db).await?;
// Get entity types
let entity_types = User::get_entity_types(&user.id, &state.db).await?;
// Get content categories
let content_categories = User::get_user_categories(&user.id, &state.db).await?;
// Render updated list
Ok(TemplateResponse::new_template(
"knowledge/entity_list.html",
EntityListData {
entities,
user,
entity_types,
content_categories,
selected_entity_type: None,
selected_content_category: None,
},
))
}
pub async fn delete_knowledge_entity(
State(state): State<HtmlState>,
RequireUser(user): RequireUser,
Path(id): Path<String>,
) -> Result<impl IntoResponse, HtmlError> {
// Get the existing entity and validate that the user is allowed
User::get_and_validate_knowledge_entity(&id, &user.id, &state.db).await?;
// Delete the entity
state.db.delete_item::<KnowledgeEntity>(&id).await?;
// Get updated list of entities
let entities = User::get_knowledge_entities(&user.id, &state.db).await?;
// Get entity types
let entity_types = User::get_entity_types(&user.id, &state.db).await?;
// Get content categories
let content_categories = User::get_user_categories(&user.id, &state.db).await?;
Ok(TemplateResponse::new_template(
"knowledge/entity_list.html",
EntityListData {
entities,
user,
entity_types,
content_categories,
selected_entity_type: None,
selected_content_category: None,
},
))
}
#[derive(Serialize)]
pub struct RelationshipTableData {
entities: Vec<KnowledgeEntity>,
relationships: Vec<KnowledgeRelationship>,
}
pub async fn delete_knowledge_relationship(
State(state): State<HtmlState>,
RequireUser(user): RequireUser,
Path(id): Path<String>,
) -> Result<impl IntoResponse, HtmlError> {
// GOTTA ADD AUTH VALIDATION
KnowledgeRelationship::delete_relationship_by_id(&id, &state.db).await?;
let entities = User::get_knowledge_entities(&user.id, &state.db).await?;
let relationships = User::get_knowledge_relationships(&user.id, &state.db).await?;
// Render updated list
Ok(TemplateResponse::new_template(
"knowledge/relationship_table.html",
RelationshipTableData {
entities,
relationships,
},
))
}
#[derive(Deserialize)]
pub struct SaveKnowledgeRelationshipInput {
pub in_: String,
pub out: String,
pub relationship_type: String,
}
pub async fn save_knowledge_relationship(
State(state): State<HtmlState>,
RequireUser(user): RequireUser,
Form(form): Form<SaveKnowledgeRelationshipInput>,
) -> Result<impl IntoResponse, HtmlError> {
// Construct relationship
let relationship = KnowledgeRelationship::new(
form.in_,
form.out,
user.id.clone(),
"manual".into(),
form.relationship_type,
);
relationship.store_relationship(&state.db).await?;
let entities = User::get_knowledge_entities(&user.id, &state.db).await?;
let relationships = User::get_knowledge_relationships(&user.id, &state.db).await?;
// Render updated list
Ok(TemplateResponse::new_template(
"knowledge/relationship_table.html",
RelationshipTableData {
entities,
relationships,
},
))
}