Trim builder methods for GetSimN, add default to condition (#151)

* Trim builder methods for getsim, add default to condition

* set default preprocess action to modelprocessing

Author: Iamdavidonuh

ahnlich/client/src/builders/ai.rs

@@ -51,6 +51,8 @@ pub struct GetSimNParams {
     #[builder(setter(into, transform = |s: String| StoreName(s)))]
     pub store: StoreName,
     pub search_input: StoreInput,
+
+    #[builder(default = None)]
     pub condition: Option<PredicateCondition>,
 
     #[builder(setter(into, transform = |n: usize| NonZeroUsize::new(n).unwrap()),default=NonZeroUsize::new(1).unwrap())]
@@ -68,7 +70,6 @@ pub struct CreatePredIndexParams {
     #[builder(setter(into, transform = |s: String| StoreName(s)))]
     pub store: StoreName,
 
-    //#[builder(default = HashSet::new())]
     pub predicates: HashSet<MetadataKey>,
 
     #[builder(default = None)]
@@ -92,7 +93,6 @@ pub struct DropPredIndexParams {
     #[builder(setter(into, transform = |s: String| StoreName(s)))]
     pub store: StoreName,
 
-    //#[builder(default = HashSet::new())]
     pub predicates: HashSet<MetadataKey>,
 
     #[builder(default = true)]
@@ -109,7 +109,7 @@ pub struct SetParams {
 
     pub inputs: Vec<(StoreInput, StoreValue)>,
 
-    #[builder(default = PreprocessAction::NoPreprocessing)]
+    #[builder(default = PreprocessAction::ModelPreprocessing)]
     pub preprocess_action: PreprocessAction,
 
     #[builder(default = None)]

examples/rust/image-search/src/main.rs

@@ -6,10 +6,9 @@ use std::{
 
 use ahnlich_client_rs::{ai::AIClient, builders::ai as ai_params};
 use ahnlich_types::{
-    ai::{AIModel, AIServerResponse, PreprocessAction},
+    ai::{AIModel, AIServerResponse},
     keyval::{StoreInput, StoreName},
     metadata::{MetadataKey, MetadataValue},
-    similarity::Algorithm,
 };
 use clap::{Parser, Subcommand};
 use tokio;
@@ -84,7 +83,6 @@ async fn index_mode() {
     let set_params = ai_params::SetParams::builder()
         .store(storename.to_string())
         .inputs(inputs)
-        .preprocess_action(PreprocessAction::ModelPreprocessing)
         .build();
     let res = ai_client
         .set(set_params)
@@ -113,9 +111,6 @@ async fn query_mode() {
         let get_sim_n_params = ai_params::GetSimNParams::builder()
             .store(storename.clone().to_string())
             .search_input(StoreInput::RawString(input.to_string()))
-            .closest_n(1)
-            .algorithm(Algorithm::CosineSimilarity)
-            .condition(None)
             .build();
 
         let res = ai_client