Polishing.

Gzip input data. Reformat code, replace space indents with tab indents. Convert readme to Asciidoc.

See #690

mongodb/fragment-spi/README.md → mongodb/fragment-spi/README.adoc

@@ -1,35 +1,40 @@
-# Spring Data - Fragment SPI Example
+= Spring Data - Fragment SPI Example
 
-This project contains a sample using `spring.factories` to register implementation details for a repository extension for MongoDB Vector Search that lives outside of the project namespace. 
+This project contains a sample using `spring.factories` to register implementation details for a repository extension for MongoDB Vector Search that lives outside the project namespace.
 
 The project is divided into the `atlas-api`, providing the extension, and the `sample` using it.
 
-## atlas-api
+== atlas-api
 
 The `AtlasRepository` is the base interface containing a `vectorSearch` method that is implemented in `AtlasRepositoryFragment`. The configuration in `src/main/resources/META-INF/spring.factories` makes sure it is picked up by the spring data infrastructure.
 
 The implementation leverages `RepositoryMethodContext` to get hold of method invocation metadata to determine the collection name derived from the repositories domain type `<T>`.
-Since providing the metadata needs to be explicitly activated the `AtlasRepositoryFragment` uses the additional marker interface `RepositoryMetadataAccess` enabling the features for repositories extending the `AtlasRepository`.  
+Since providing the metadata needs to be explicitly activated the `AtlasRepositoryFragment` uses the additional marker interface `RepositoryMetadataAccess` enabling the features for repositories extending the `AtlasRepository`.
 
-## sample
+== sample
 
 The `MovieRepository` extends the `AtlasRepository` from the api project using a `Movie` type targeting the `movies` collection. No further configuration is needed to use the provided `vectorSearch` within the `MovieRepositoryTests`.
 
 The `Movies` class in `src/main/test` takes care of setting up required test data and indexes.
 
-## Running the sample
+== Running the sample
 
 The is using a local MongoDB Atlas instance bootstrapped by Testcontainers.
-Running the `MovieRepositoryTests` the `test/movies` collection will be populated with about 400 entries from the `mflix.embedded_movies.json` file.
-Please be patient while data is loaded into the database and the index created afterwards.
+Running the `MovieRepositoryTests` the `test/movies` collection will be populated with about 400 entries from the `mflix.embedded_movies.json.gz` file.
+Please be patient while data is loaded into the database and the index created afterward.
 Progress information will be printed to the log.
-```log
-INFO - com.example.data.mongodb.Movies:  73 - Loading movies mflix.embedded_movies.json
+
+[source,log]
+----
+INFO - com.example.data.mongodb.Movies:  73 - Loading movies from class path resource [mflix.embedded_movies.json.gz]
 INFO - com.example.data.mongodb.Movies:  90 - Created 420 movies in test.movies
 INFO - com.example.data.mongodb.Movies:  65 - creating vector index
 INFO - com.example.data.mongodb.Movies:  68 - index 'plot_vector_index' created
-```
+----
+
 Once data and index are available search result will be printed:
-```log
+
+[source,log]
+----
 INFO - ...mongodb.MovieRepositoryTests: 183 - Movie{id='66d6ee0937e07b74aa2939cc', ...
-```
+----