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https://github.com/meilisearch/MeiliSearch
synced 2025-07-03 11:57:07 +02:00
fix tests
# Conflicts: # crates/index-scheduler/src/batch.rs # crates/index-scheduler/src/snapshots/lib.rs/fail_in_process_batch_for_document_deletion/after_removing_the_documents.snap # crates/index-scheduler/src/snapshots/lib.rs/test_document_addition_with_bad_primary_key/fifth_task_succeeds.snap # crates/index-scheduler/src/snapshots/lib.rs/test_document_addition_with_bad_primary_key/fourth_task_fails.snap # crates/index-scheduler/src/snapshots/lib.rs/test_document_addition_with_multiple_primary_key/second_task_fails.snap # crates/index-scheduler/src/snapshots/lib.rs/test_document_addition_with_multiple_primary_key/third_task_fails.snap # crates/index-scheduler/src/snapshots/lib.rs/test_document_addition_with_multiple_primary_key_batch_wrong_key/second_and_third_tasks_fails.snap # crates/index-scheduler/src/snapshots/lib.rs/test_document_addition_with_set_and_null_primary_key_inference_works/all_other_tasks_succeeds.snap # crates/index-scheduler/src/snapshots/lib.rs/test_document_addition_with_set_and_null_primary_key_inference_works/second_task_fails.snap # crates/index-scheduler/src/snapshots/lib.rs/test_document_addition_with_set_and_null_primary_key_inference_works/third_task_succeeds.snap # Conflicts: # crates/index-scheduler/src/batch.rs # crates/meilisearch/src/search/mod.rs # crates/meilisearch/tests/vector/mod.rs # Conflicts: # crates/index-scheduler/src/batch.rs
This commit is contained in:
airycanon
parent
95ed079761
commit
b75f1f4c17
24 changed files with 378 additions and 281 deletions
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@ -985,7 +985,7 @@ async fn bad_settings() {
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}
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},
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"error": {
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"message": "Error while generating embeddings: runtime error: could not determine model dimensions:\n - test embedding failed with runtime error: error extracting embeddings from the response:\n - in `response`, while extracting a single \"{{embedding}}\", expected `response` to be an array of numbers, but failed to parse server response:\n - invalid type: map, expected a sequence",
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"message": "Index `doggo`: Error while generating embeddings: runtime error: could not determine model dimensions:\n - test embedding failed with runtime error: error extracting embeddings from the response:\n - in `response`, while extracting a single \"{{embedding}}\", expected `response` to be an array of numbers, but failed to parse server response:\n - invalid type: map, expected a sequence",
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"code": "vector_embedding_error",
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"type": "invalid_request",
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"link": "https://docs.meilisearch.com/errors#vector_embedding_error"
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@ -1025,7 +1025,7 @@ async fn bad_settings() {
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"indexedDocuments": 0
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},
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"error": {
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"message": "While embedding documents for embedder `rest`: runtime error: was expecting embeddings of dimension `2`, got embeddings of dimensions `3`",
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"message": "Index `doggo`: While embedding documents for embedder `rest`: runtime error: was expecting embeddings of dimension `2`, got embeddings of dimensions `3`",
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"code": "vector_embedding_error",
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"type": "invalid_request",
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"link": "https://docs.meilisearch.com/errors#vector_embedding_error"
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@ -1178,7 +1178,7 @@ async fn server_returns_bad_request() {
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}
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},
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"error": {
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"message": "Error while generating embeddings: runtime error: could not determine model dimensions:\n - test embedding failed with user error: sent a bad request to embedding server\n - Hint: check that the `request` in the embedder configuration matches the remote server's API\n - server replied with `{\"error\":\"Invalid request: invalid type: string \\\"test\\\", expected struct MultipleRequest at line 1 column 6\"}`",
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"message": "Index `doggo`: Error while generating embeddings: runtime error: could not determine model dimensions:\n - test embedding failed with user error: sent a bad request to embedding server\n - Hint: check that the `request` in the embedder configuration matches the remote server's API\n - server replied with `{\"error\":\"Invalid request: invalid type: string \\\"test\\\", expected struct MultipleRequest at line 1 column 6\"}`",
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"code": "vector_embedding_error",
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"type": "invalid_request",
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"link": "https://docs.meilisearch.com/errors#vector_embedding_error"
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@ -1247,7 +1247,7 @@ async fn server_returns_bad_request() {
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"indexedDocuments": 0
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},
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"error": {
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"message": "While embedding documents for embedder `rest`: user error: sent a bad request to embedding server\n - Hint: check that the `request` in the embedder configuration matches the remote server's API\n - server replied with `{\"error\":\"Invalid request: invalid type: string \\\"name: kefir\\\\n\\\", expected struct MultipleRequest at line 1 column 15\"}`",
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"message": "Index `doggo`: While embedding documents for embedder `rest`: user error: sent a bad request to embedding server\n - Hint: check that the `request` in the embedder configuration matches the remote server's API\n - server replied with `{\"error\":\"Invalid request: invalid type: string \\\"name: kefir\\\\n\\\", expected struct MultipleRequest at line 1 column 15\"}`",
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"code": "vector_embedding_error",
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"type": "invalid_request",
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"link": "https://docs.meilisearch.com/errors#vector_embedding_error"
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@ -1306,7 +1306,7 @@ async fn server_returns_bad_response() {
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}
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},
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"error": {
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"message": "Error while generating embeddings: runtime error: could not determine model dimensions:\n - test embedding failed with runtime error: error extracting embeddings from the response:\n - in `response`, while extracting the array of \"{{embedding}}\"s, configuration expects `response` to be an array with at least 1 item(s) but server sent an object with 1 field(s)",
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"message": "Index `doggo`: Error while generating embeddings: runtime error: could not determine model dimensions:\n - test embedding failed with runtime error: error extracting embeddings from the response:\n - in `response`, while extracting the array of \"{{embedding}}\"s, configuration expects `response` to be an array with at least 1 item(s) but server sent an object with 1 field(s)",
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"code": "vector_embedding_error",
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"type": "invalid_request",
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"link": "https://docs.meilisearch.com/errors#vector_embedding_error"
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@ -1362,7 +1362,7 @@ async fn server_returns_bad_response() {
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}
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},
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"error": {
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"message": "Error while generating embeddings: runtime error: could not determine model dimensions:\n - test embedding failed with runtime error: error extracting embeddings from the response:\n - in `response`, while extracting item #0 from the array of \"{{embedding}}\"s, expected `response` to be an array of numbers, but failed to parse server response:\n - invalid type: map, expected a sequence",
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"message": "Index `doggo`: Error while generating embeddings: runtime error: could not determine model dimensions:\n - test embedding failed with runtime error: error extracting embeddings from the response:\n - in `response`, while extracting item #0 from the array of \"{{embedding}}\"s, expected `response` to be an array of numbers, but failed to parse server response:\n - invalid type: map, expected a sequence",
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"code": "vector_embedding_error",
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"type": "invalid_request",
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"link": "https://docs.meilisearch.com/errors#vector_embedding_error"
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@ -1414,7 +1414,7 @@ async fn server_returns_bad_response() {
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}
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},
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"error": {
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"message": "Error while generating embeddings: runtime error: could not determine model dimensions:\n - test embedding failed with runtime error: error extracting embeddings from the response:\n - in `response.output`, while extracting a single \"{{embedding}}\", expected `output` to be an array of numbers, but failed to parse server response:\n - invalid type: map, expected f32",
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"message": "Index `doggo`: Error while generating embeddings: runtime error: could not determine model dimensions:\n - test embedding failed with runtime error: error extracting embeddings from the response:\n - in `response.output`, while extracting a single \"{{embedding}}\", expected `output` to be an array of numbers, but failed to parse server response:\n - invalid type: map, expected f32",
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"code": "vector_embedding_error",
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"type": "invalid_request",
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"link": "https://docs.meilisearch.com/errors#vector_embedding_error"
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@ -1478,7 +1478,7 @@ async fn server_returns_bad_response() {
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}
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},
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"error": {
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"message": "Error while generating embeddings: runtime error: could not determine model dimensions:\n - test embedding failed with runtime error: error extracting embeddings from the response:\n - in `response.embedding`, while extracting item #0 from the array of \"{{embedding}}\"s, configuration expects `embedding` to be an object with key `data` but server sent an array of size 3",
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"message": "Index `doggo`: Error while generating embeddings: runtime error: could not determine model dimensions:\n - test embedding failed with runtime error: error extracting embeddings from the response:\n - in `response.embedding`, while extracting item #0 from the array of \"{{embedding}}\"s, configuration expects `embedding` to be an object with key `data` but server sent an array of size 3",
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"code": "vector_embedding_error",
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"type": "invalid_request",
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"link": "https://docs.meilisearch.com/errors#vector_embedding_error"
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@ -1542,7 +1542,7 @@ async fn server_returns_bad_response() {
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}
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},
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"error": {
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"message": "Error while generating embeddings: runtime error: could not determine model dimensions:\n - test embedding failed with runtime error: error extracting embeddings from the response:\n - in `response.output[0]`, while extracting a single \"{{embedding}}\", configuration expects key \"embeddings\", which is missing in response\n - Hint: item #0 inside `output` has key `embedding`, did you mean `response.output[0].embedding` in embedder configuration?",
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"message": "Index `doggo`: Error while generating embeddings: runtime error: could not determine model dimensions:\n - test embedding failed with runtime error: error extracting embeddings from the response:\n - in `response.output[0]`, while extracting a single \"{{embedding}}\", configuration expects key \"embeddings\", which is missing in response\n - Hint: item #0 inside `output` has key `embedding`, did you mean `response.output[0].embedding` in embedder configuration?",
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"code": "vector_embedding_error",
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"type": "invalid_request",
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"link": "https://docs.meilisearch.com/errors#vector_embedding_error"
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@ -1908,7 +1908,7 @@ async fn server_custom_header() {
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}
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},
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"error": {
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"message": "Error while generating embeddings: runtime error: could not determine model dimensions:\n - test embedding failed with user error: could not authenticate against embedding server\n - server replied with `{\"error\":\"missing header 'my-nonstandard-auth'\"}`\n - Hint: Check the `apiKey` parameter in the embedder configuration",
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"message": "Index `doggo`: Error while generating embeddings: runtime error: could not determine model dimensions:\n - test embedding failed with user error: could not authenticate against embedding server\n - server replied with `{\"error\":\"missing header 'my-nonstandard-auth'\"}`\n - Hint: Check the `apiKey` parameter in the embedder configuration",
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"code": "vector_embedding_error",
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"type": "invalid_request",
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"link": "https://docs.meilisearch.com/errors#vector_embedding_error"
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@ -1951,7 +1951,7 @@ async fn server_custom_header() {
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}
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},
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"error": {
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"message": "Error while generating embeddings: runtime error: could not determine model dimensions:\n - test embedding failed with user error: could not authenticate against embedding server\n - server replied with `{\"error\":\"thou shall not pass, Balrog\"}`\n - Hint: Check the `apiKey` parameter in the embedder configuration",
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"message": "Index `doggo`: Error while generating embeddings: runtime error: could not determine model dimensions:\n - test embedding failed with user error: could not authenticate against embedding server\n - server replied with `{\"error\":\"thou shall not pass, Balrog\"}`\n - Hint: Check the `apiKey` parameter in the embedder configuration",
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"code": "vector_embedding_error",
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"type": "invalid_request",
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"link": "https://docs.meilisearch.com/errors#vector_embedding_error"
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@ -2099,7 +2099,7 @@ async fn searchable_reindex() {
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]
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},
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"error": {
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"message": "While embedding documents for embedder `rest`: error: received unexpected HTTP 404 from embedding server\n - server replied with `{\"error\":\"text not found\",\"text\":\"breed: patou\\n\"}`",
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"message": "Index `doggo`: While embedding documents for embedder `rest`: error: received unexpected HTTP 404 from embedding server\n - server replied with `{\"error\":\"text not found\",\"text\":\"breed: patou\\n\"}`",
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"code": "vector_embedding_error",
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"type": "invalid_request",
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"link": "https://docs.meilisearch.com/errors#vector_embedding_error"
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