Files
herolib/lib/clients/jina/api_test.v
Mahmoud Emad 5194fabe62 feat: Add classifier deletion functionality
- Added `delete_classifier` function to delete a classifier by ID.
- Added corresponding unit tests for the new function.
- Updated the client example to demonstrate classifier deletion.
- Renamed `jina_client_test.v` to `api_test.v` for better organization.
- Renamed `model_embed.v` to `embeddings_api.v` for better organization.
- Refactored the embedding API to use enums for task and truncate types,
  and added error handling for invalid inputs.
2025-03-12 14:29:40 +02:00

103 lines
2.7 KiB
V

module jina
import time
fn setup_client() !&Jina {
mut client := get()!
return client
}
fn test_create_embeddings() {
time.sleep(1 * time.second)
mut client := setup_client()!
embeddings := client.create_embeddings(
input: ['Hello', 'World']
model: .jina_embeddings_v3
task: 'separation'
) or { panic('Error while creating embeddings: ${err}') }
assert embeddings.data.len > 0
assert embeddings.object == 'list' // Check the object type
assert embeddings.model == 'jina-embeddings-v3'
}
fn test_rerank() {
time.sleep(1 * time.second)
mut client := setup_client()!
rerank_result := client.rerank(
model: .reranker_v2_base_multilingual
query: 'skincare products'
documents: ['Product A', 'Product B', 'Product C']
top_n: 2
) or { panic('Error while reranking: ${err}') }
assert rerank_result.results.len == 2
assert rerank_result.model == 'jina-reranker-v2-base-multilingual'
}
fn test_train() {
time.sleep(1 * time.second)
mut client := setup_client()!
train_result := client.train(
model: .jina_clip_v1
input: [
TrainingExample{
text: 'A photo of a cat'
label: 'cat'
},
TrainingExample{
text: 'A photo of a dog'
label: 'dog'
},
]
) or { panic('Error while training: ${err}') }
assert train_result.classifier_id.len > 0
assert train_result.num_samples == 2
}
fn test_classify() {
time.sleep(1 * time.second)
mut client := setup_client()!
classify_result := client.classify(
model: .jina_clip_v1
input: [
ClassificationInput{
text: 'A photo of a cat'
},
ClassificationInput{
image: 'https://letsenhance.io/static/73136da51c245e80edc6ccfe44888a99/1015f/MainBefore.jpg'
},
]
labels: ['cat', 'dog']
) or { panic('Error while classifying: ${err}') }
assert classify_result.data.len == 2
assert classify_result.data[0].prediction in ['cat', 'dog']
assert classify_result.data[1].prediction in ['cat', 'dog']
assert classify_result.data[0].object == 'classification'
assert classify_result.data[1].object == 'classification'
}
fn test_get_classifiers() {
time.sleep(1 * time.second)
mut client := setup_client()!
classifiers := client.list_classifiers() or { panic('Error fetching classifiers: ${err}') }
assert classifiers.len != 0
}
// Delete classifier
fn test_delete_classifiers() {
time.sleep(1 * time.second)
mut client := setup_client()!
classifiers := client.list_classifiers() or { panic('Error fetching classifiers: ${err}') }
assert classifiers.len != 0
delete_result := client.delete_classifier(classifier_id: classifiers[0].classifier_id) or {
panic('Error deleting classifier: ${err}')
}
assert delete_result == '{"message":"Classifier ${classifiers[0].classifier_id} deleted"}'
}