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https://github.com/meilisearch/MeiliSearch
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Test new facilities
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@ -1100,6 +1100,7 @@ async fn server_returns_bad_request() {
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let (response, code) = index
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.update_settings(json!({
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"searchableAttributes": ["name", "missing_field"],
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"embedders": {
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"rest": json!({ "source": "rest", "url": mock.uri(), "request": "{{text}}", "response": "{{embedding}}", "dimensions": 3 }),
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},
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@ -1115,6 +1116,10 @@ async fn server_returns_bad_request() {
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"type": "settingsUpdate",
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"canceledBy": null,
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"details": {
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"searchableAttributes": [
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"name",
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"missing_field"
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],
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"embedders": {
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"rest": {
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"source": "rest",
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@ -1148,7 +1153,7 @@ 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 \\\" id: 1\\\\n name: kefir\\\\n\\\", expected struct MultipleRequest at line 1 column 24\"}`",
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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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"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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