chore: Clippy and deps fixes for 1.83 (#467)

swiftide-core/src/query_stream.rs

@@ -34,7 +34,7 @@ impl<'stream, STATE: QueryState + 'stream> Default for QueryStream<'stream, STAT
     }
 }
 
-impl<'stream, STATE: QueryState> Stream for QueryStream<'stream, STATE> {
+impl<STATE: QueryState> Stream for QueryStream<'_, STATE> {
     type Item = Result<Query<STATE>>;
 
     fn poll_next(
@@ -46,8 +46,8 @@ impl<'stream, STATE: QueryState> Stream for QueryStream<'stream, STATE> {
     }
 }
 
-impl<'stream, STATE: QueryState> From<Pin<Box<dyn Stream<Item = Result<Query<STATE>>> + Send>>>
-    for QueryStream<'stream, STATE>
+impl<STATE: QueryState> From<Pin<Box<dyn Stream<Item = Result<Query<STATE>>> + Send>>>
+    for QueryStream<'_, STATE>
 {
     fn from(val: Pin<Box<dyn Stream<Item = Result<Query<STATE>>> + Send>>) -> Self {
         QueryStream {

swiftide-indexing/src/transformers/metadata_keywords.rs

@@ -1,13 +1,12 @@
 //! Extract keywords from a node and add them as metadata
+//! This module defines the `MetadataKeywords` struct and its associated methods,
+//! which are used for generating metadata in the form of keywords
+//! for a given text. It interacts with a client (e.g., `OpenAI`) to generate
+//! the keywords based on the text chunk in a `Node`.
 use anyhow::Result;
 use async_trait::async_trait;
 use swiftide_core::{indexing::Node, Transformer};
 
-/// This module defines the `MetadataKeywords` struct and its associated methods,
-/// which are used for generating metadata in the form of keywords
-/// for a given text. It interacts with a client (e.g., `OpenAI`) to generate
-/// the keywords based on the text chunk in a `Node`.
-
 /// `MetadataKeywords` is responsible for generating keywords
 /// for a given text chunk. It uses a templated prompt to interact with a client
 /// that implements the `SimplePrompt` trait.

swiftide-indexing/src/transformers/metadata_qa_text.rs

@@ -1,14 +1,13 @@
 //! Generates questions and answers from a given text chunk and adds them as metadata.
+//! This module defines the `MetadataQAText` struct and its associated methods,
+//! which are used for generating metadata in the form of questions and answers
+//! from a given text. It interacts with a client (e.g., `OpenAI`) to generate
+//! these questions and answers based on the text chunk in an `Node`.
 
 use anyhow::Result;
 use async_trait::async_trait;
 use swiftide_core::{indexing::Node, Transformer};
 
-/// This module defines the `MetadataQAText` struct and its associated methods,
-/// which are used for generating metadata in the form of questions and answers
-/// from a given text. It interacts with a client (e.g., `OpenAI`) to generate
-/// these questions and answers based on the text chunk in an `Node`.
-
 /// `MetadataQAText` is responsible for generating questions and answers
 /// from a given text chunk. It uses a templated prompt to interact with a client
 /// that implements the `SimplePrompt` trait.

swiftide-indexing/src/transformers/metadata_summary.rs

@@ -1,14 +1,13 @@
 //! Generate a summary and adds it as metadata
+//! This module defines the `MetadataSummary` struct and its associated methods,
+//! which are used for generating metadata in the form of a summary
+//! for a given text. It interacts with a client (e.g., `OpenAI`) to generate
+//! the summary based on the text chunk in an `Node`.
 
 use anyhow::Result;
 use async_trait::async_trait;
 use swiftide_core::{indexing::Node, Transformer};
 
-/// This module defines the `MetadataSummary` struct and its associated methods,
-/// which are used for generating metadata in the form of a summary
-/// for a given text. It interacts with a client (e.g., `OpenAI`) to generate
-/// the summary based on the text chunk in an `Node`.
-
 /// `MetadataSummary` is responsible for generating a summary
 /// for a given text chunk. It uses a templated prompt to interact with a client
 /// that implements the `SimplePrompt` trait.

swiftide-indexing/src/transformers/metadata_title.rs

@@ -1,14 +1,12 @@
 //! Generate a title and adds it as metadata
-
+//! This module defines the `MetadataTitle` struct and its associated methods,
+//! which are used for generating metadata in the form of a title
+//! for a given text. It interacts with a client (e.g., `OpenAI`) to generate
+//! these questions and answers based on the text chunk in an `Node`.
 use anyhow::Result;
 use async_trait::async_trait;
 use swiftide_core::{indexing::Node, Transformer};
 
-/// This module defines the `MetadataTitle` struct and its associated methods,
-/// which are used for generating metadata in the form of a title
-/// for a given text. It interacts with a client (e.g., `OpenAI`) to generate
-/// these questions and answers based on the text chunk in an `Node`.
-
 /// `MetadataTitle` is responsible for generating a title
 /// for a given text chunk. It uses a templated prompt to interact with a client
 /// that implements the `SimplePrompt` trait.

swiftide-integrations/src/aws_bedrock/mod.rs

@@ -33,8 +33,8 @@ pub struct AwsBedrock {
     #[builder(setter(into))]
     /// The model id or arn of the model to use
     model_id: String,
-    #[builder(default = "self.default_client()", setter(custom))]
 
+    #[builder(default = self.default_client(), setter(custom))]
     /// The bedrock runtime client
     client: Arc<dyn BedrockPrompt>,
     #[builder(default)]

swiftide-integrations/src/pgvector/fixtures.rs

@@ -79,7 +79,7 @@ pub(crate) struct PgVectorTestData<'a> {
     pub vectors: Vec<(indexing::EmbeddedField, Vec<f32>)>,
 }
 
-impl<'a> PgVectorTestData<'a> {
+impl PgVectorTestData<'_> {
     pub(crate) fn to_node(&self) -> indexing::Node {
         // Create the initial builder
         let mut base_builder = indexing::Node::builder();