Create Insight Generation Feature

Added integration with Messages API and Ollama
This commit is contained in:
Cameron
2026-01-03 10:30:37 -05:00
parent 0dfec4c8c5
commit 1171f19845
18 changed files with 1365 additions and 34 deletions

View File

@@ -0,0 +1,133 @@
use diesel::prelude::*;
use diesel::sqlite::SqliteConnection;
use std::ops::DerefMut;
use std::sync::{Arc, Mutex};
use crate::database::models::{InsertPhotoInsight, PhotoInsight};
use crate::database::schema;
use crate::database::{DbError, DbErrorKind, connect};
use crate::otel::trace_db_call;
pub trait InsightDao: Sync + Send {
fn store_insight(
&mut self,
context: &opentelemetry::Context,
insight: InsertPhotoInsight,
) -> Result<PhotoInsight, DbError>;
fn get_insight(
&mut self,
context: &opentelemetry::Context,
file_path: &str,
) -> Result<Option<PhotoInsight>, DbError>;
fn delete_insight(
&mut self,
context: &opentelemetry::Context,
file_path: &str,
) -> Result<(), DbError>;
fn get_all_insights(
&mut self,
context: &opentelemetry::Context,
) -> Result<Vec<PhotoInsight>, DbError>;
}
pub struct SqliteInsightDao {
connection: Arc<Mutex<SqliteConnection>>,
}
impl Default for SqliteInsightDao {
fn default() -> Self {
Self::new()
}
}
impl SqliteInsightDao {
pub fn new() -> Self {
SqliteInsightDao {
connection: Arc::new(Mutex::new(connect())),
}
}
}
impl InsightDao for SqliteInsightDao {
fn store_insight(
&mut self,
context: &opentelemetry::Context,
insight: InsertPhotoInsight,
) -> Result<PhotoInsight, DbError> {
trace_db_call(context, "insert", "store_insight", |_span| {
use schema::photo_insights::dsl::*;
let mut connection = self.connection.lock().expect("Unable to get InsightDao");
// Insert or replace on conflict (UNIQUE constraint on file_path)
diesel::replace_into(photo_insights)
.values(&insight)
.execute(connection.deref_mut())
.map_err(|_| anyhow::anyhow!("Insert error"))?;
// Retrieve the inserted record
photo_insights
.filter(file_path.eq(&insight.file_path))
.first::<PhotoInsight>(connection.deref_mut())
.map_err(|_| anyhow::anyhow!("Query error"))
})
.map_err(|_| DbError::new(DbErrorKind::InsertError))
}
fn get_insight(
&mut self,
context: &opentelemetry::Context,
path: &str,
) -> Result<Option<PhotoInsight>, DbError> {
trace_db_call(context, "query", "get_insight", |_span| {
use schema::photo_insights::dsl::*;
let mut connection = self.connection.lock().expect("Unable to get InsightDao");
photo_insights
.filter(file_path.eq(path))
.first::<PhotoInsight>(connection.deref_mut())
.optional()
.map_err(|_| anyhow::anyhow!("Query error"))
})
.map_err(|_| DbError::new(DbErrorKind::QueryError))
}
fn delete_insight(
&mut self,
context: &opentelemetry::Context,
path: &str,
) -> Result<(), DbError> {
trace_db_call(context, "delete", "delete_insight", |_span| {
use schema::photo_insights::dsl::*;
let mut connection = self.connection.lock().expect("Unable to get InsightDao");
diesel::delete(photo_insights.filter(file_path.eq(path)))
.execute(connection.deref_mut())
.map(|_| ())
.map_err(|_| anyhow::anyhow!("Delete error"))
})
.map_err(|_| DbError::new(DbErrorKind::QueryError))
}
fn get_all_insights(
&mut self,
context: &opentelemetry::Context,
) -> Result<Vec<PhotoInsight>, DbError> {
trace_db_call(context, "query", "get_all_insights", |_span| {
use schema::photo_insights::dsl::*;
let mut connection = self.connection.lock().expect("Unable to get InsightDao");
photo_insights
.order(generated_at.desc())
.load::<PhotoInsight>(connection.deref_mut())
.map_err(|_| anyhow::anyhow!("Query error"))
})
.map_err(|_| DbError::new(DbErrorKind::QueryError))
}
}