Skip to content

Merge branch 'main' into bump-meilisearch-v1.11.0 #604

Merge branch 'main' into bump-meilisearch-v1.11.0

Merge branch 'main' into bump-meilisearch-v1.11.0 #604

Triggered via push October 3, 2024 12:12
Status Failure
Total duration 2m 6s
Artifacts
meilisearch-version
3s
meilisearch-version
Matrix: integration_tests
Fit to window
Zoom out
Zoom in

Annotations

21 errors
tests/embedders.test.ts > Test on embedders > Master key: Update embedders with 'openAi' source: tests/embedders.test.ts#L130
AssertionError: expected { default: { source: 'openAi', …(7) } } to deeply equal { default: { source: 'openAi', …(6) } } - Expected + Received Object { "default": Object { "apiKey": "<yoXXXXX...", "dimensions": 1536, "distribution": Object { "mean": 0.7, "sigma": 0.3, }, "documentTemplate": "A movie titled '{{doc.title}}' whose description starts with {{doc.overview|truncatewords: 20}}", + "documentTemplateMaxBytes": 400, "model": "text-embedding-3-small", "source": "openAi", "url": "https://api.openai.com/v1/embeddings", }, } ❯ tests/embedders.test.ts:130:24
tests/embedders.test.ts > Test on embedders > Master key: Update embedders with 'huggingFace' source: tests/embedders.test.ts#L159
AssertionError: expected { default: { …(5) } } to deeply equal { default: { …(4) } } - Expected + Received Object { "default": Object { "distribution": Object { "mean": 0.7, "sigma": 0.3, }, "documentTemplate": "A movie titled '{{doc.title}}' whose description starts with {{doc.overview|truncatewords: 20}}", + "documentTemplateMaxBytes": 400, "model": "sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2", "source": "huggingFace", }, } ❯ tests/embedders.test.ts:159:24
tests/embedders.test.ts > Test on embedders > Master key: Update embedders with 'rest' source: tests/embedders.test.ts#L200
AssertionError: expected { default: { source: 'rest', …(9) } } to deeply equal { default: { source: 'rest', …(8) } } - Expected + Received Object { "default": Object { "apiKey": "<yoXXXXX...", "dimensions": 1536, "distribution": Object { "mean": 0.7, "sigma": 0.3, }, "documentTemplate": "A movie titled '{{doc.title}}' whose description starts with {{doc.overview|truncatewords: 20}}", + "documentTemplateMaxBytes": 400, "headers": Object { "Custom-Header": "CustomValue", }, "request": Object { "input": Array [ "{{text}}", "{{..}}", ], "model": "text-embedding-3-small", }, "response": Object { "data": Array [ Object { "embedding": "{{embedding}}", }, "{{..}}", ], }, "source": "rest", "url": "https://api.openai.com/v1/embeddings", }, } ❯ tests/embedders.test.ts:200:24
tests/embedders.test.ts > Test on embedders > Master key: Update embedders with 'ollama' source: tests/embedders.test.ts#L231
AssertionError: expected { default: { source: 'ollama', …(7) } } to deeply equal { default: { source: 'ollama', …(6) } } - Expected + Received Object { "default": Object { "apiKey": "<yoXXXXX...", "dimensions": 512, "distribution": Object { "mean": 0.7, "sigma": 0.3, }, "documentTemplate": "blabla", + "documentTemplateMaxBytes": 400, "model": "nomic-embed-text", "source": "ollama", "url": "http://localhost:11434/api/embeddings", }, } ❯ tests/embedders.test.ts:231:24
tests/embedders.test.ts > Test on embedders > Master key: search for similar documents: src/http-requests.ts#L168
MeiliSearchApiError: Missing field `embedder` ❯ HttpRequests.request src/http-requests.ts:168:13 ❯ HttpRequests.post src/http-requests.ts:245:12 ❯ Index.searchSimilarDocuments src/indexes.ts:195:12 ❯ tests/embedders.test.ts:290:24 ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯ Serialized Error: { response: { constructor: 'Function<Response>', type: 'basic', url: 'http://127.0.0.1:7700/indexes/movies_test/similar', redirected: false, status: 400, ok: false, statusText: 'Bad Request', headers: { constructor: 'Function<Headers>', append: 'Function<append>', delete: 'Function<delete>', get: 'Function<get>', has: 'Function<has>', set: 'Function<set>', getSetCookie: 'Function<getSetCookie>', keys: 'Function<keys>', values: 'Function<values>', entries: 'Function<entries>', forEach: 'Function<forEach>' }, body: { constructor: 'Function<ReadableStream>', locked: true, cancel: 'Function<cancel>', getReader: 'Function<getReader>', pipeThrough: 'Function<pipeThrough>', pipeTo: 'Function<pipeTo>', tee: 'Function<tee>', values: 'Function<values>' }, bodyUsed: true, clone: 'Function<clone>', blob: 'Function<blob>', arrayBuffer: 'Function<arrayBuffer>', text: 'Function<text>', json: 'Function<json>', formData: 'Function<formData>' } }
tests/embedders.test.ts > Test on embedders > Admin key: Update embedders with 'openAi' source: tests/embedders.test.ts#L130
AssertionError: expected { default: { source: 'openAi', …(7) } } to deeply equal { default: { source: 'openAi', …(6) } } - Expected + Received Object { "default": Object { "apiKey": "<yoXXXXX...", "dimensions": 1536, "distribution": Object { "mean": 0.7, "sigma": 0.3, }, "documentTemplate": "A movie titled '{{doc.title}}' whose description starts with {{doc.overview|truncatewords: 20}}", + "documentTemplateMaxBytes": 400, "model": "text-embedding-3-small", "source": "openAi", "url": "https://api.openai.com/v1/embeddings", }, } ❯ tests/embedders.test.ts:130:24
tests/embedders.test.ts > Test on embedders > Admin key: Update embedders with 'huggingFace' source: tests/embedders.test.ts#L159
AssertionError: expected { default: { …(5) } } to deeply equal { default: { …(4) } } - Expected + Received Object { "default": Object { "distribution": Object { "mean": 0.7, "sigma": 0.3, }, "documentTemplate": "A movie titled '{{doc.title}}' whose description starts with {{doc.overview|truncatewords: 20}}", + "documentTemplateMaxBytes": 400, "model": "sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2", "source": "huggingFace", }, } ❯ tests/embedders.test.ts:159:24
tests/embedders.test.ts > Test on embedders > Admin key: Update embedders with 'rest' source: tests/embedders.test.ts#L200
AssertionError: expected { default: { source: 'rest', …(9) } } to deeply equal { default: { source: 'rest', …(8) } } - Expected + Received Object { "default": Object { "apiKey": "<yoXXXXX...", "dimensions": 1536, "distribution": Object { "mean": 0.7, "sigma": 0.3, }, "documentTemplate": "A movie titled '{{doc.title}}' whose description starts with {{doc.overview|truncatewords: 20}}", + "documentTemplateMaxBytes": 400, "headers": Object { "Custom-Header": "CustomValue", }, "request": Object { "input": Array [ "{{text}}", "{{..}}", ], "model": "text-embedding-3-small", }, "response": Object { "data": Array [ Object { "embedding": "{{embedding}}", }, "{{..}}", ], }, "source": "rest", "url": "https://api.openai.com/v1/embeddings", }, } ❯ tests/embedders.test.ts:200:24
tests/embedders.test.ts > Test on embedders > Admin key: Update embedders with 'ollama' source: tests/embedders.test.ts#L231
AssertionError: expected { default: { source: 'ollama', …(7) } } to deeply equal { default: { source: 'ollama', …(6) } } - Expected + Received Object { "default": Object { "apiKey": "<yoXXXXX...", "dimensions": 512, "distribution": Object { "mean": 0.7, "sigma": 0.3, }, "documentTemplate": "blabla", + "documentTemplateMaxBytes": 400, "model": "nomic-embed-text", "source": "ollama", "url": "http://localhost:11434/api/embeddings", }, } ❯ tests/embedders.test.ts:231:24
tests/embedders.test.ts > Test on embedders > Admin key: search for similar documents: src/http-requests.ts#L168
MeiliSearchApiError: Missing field `embedder` ❯ HttpRequests.request src/http-requests.ts:168:13 ❯ HttpRequests.post src/http-requests.ts:245:12 ❯ Index.searchSimilarDocuments src/indexes.ts:195:12 ❯ tests/embedders.test.ts:290:24 ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯ Serialized Error: { response: { constructor: 'Function<Response>', type: 'basic', url: 'http://127.0.0.1:7700/indexes/movies_test/similar', redirected: false, status: 400, ok: false, statusText: 'Bad Request', headers: { constructor: 'Function<Headers>', append: 'Function<append>', delete: 'Function<delete>', get: 'Function<get>', has: 'Function<has>', set: 'Function<set>', getSetCookie: 'Function<getSetCookie>', keys: 'Function<keys>', values: 'Function<values>', entries: 'Function<entries>', forEach: 'Function<forEach>' }, body: { constructor: 'Function<ReadableStream>', locked: true, cancel: 'Function<cancel>', getReader: 'Function<getReader>', pipeThrough: 'Function<pipeThrough>', pipeTo: 'Function<pipeTo>', tee: 'Function<tee>', values: 'Function<values>' }, bodyUsed: true, clone: 'Function<clone>', blob: 'Function<blob>', arrayBuffer: 'Function<arrayBuffer>', text: 'Function<text>', json: 'Function<json>', formData: 'Function<formData>' } }
integration-tests (Node.js 20)
The job was canceled because "_18" failed.
tests/embedders.test.ts > Test on embedders > Master key: Update embedders with 'openAi' source: tests/embedders.test.ts#L130
AssertionError: expected { default: { source: 'openAi', …(7) } } to deeply equal { default: { source: 'openAi', …(6) } } - Expected + Received Object { "default": Object { "apiKey": "<yoXXXXX...", "dimensions": 1536, "distribution": Object { "mean": 0.7, "sigma": 0.3, }, "documentTemplate": "A movie titled '{{doc.title}}' whose description starts with {{doc.overview|truncatewords: 20}}", + "documentTemplateMaxBytes": 400, "model": "text-embedding-3-small", "source": "openAi", "url": "https://api.openai.com/v1/embeddings", }, } ❯ tests/embedders.test.ts:130:24
tests/embedders.test.ts > Test on embedders > Master key: Update embedders with 'huggingFace' source: tests/embedders.test.ts#L159
AssertionError: expected { default: { …(5) } } to deeply equal { default: { …(4) } } - Expected + Received Object { "default": Object { "distribution": Object { "mean": 0.7, "sigma": 0.3, }, "documentTemplate": "A movie titled '{{doc.title}}' whose description starts with {{doc.overview|truncatewords: 20}}", + "documentTemplateMaxBytes": 400, "model": "sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2", "source": "huggingFace", }, } ❯ tests/embedders.test.ts:159:24
tests/embedders.test.ts > Test on embedders > Master key: Update embedders with 'rest' source: tests/embedders.test.ts#L200
AssertionError: expected { default: { source: 'rest', …(9) } } to deeply equal { default: { source: 'rest', …(8) } } - Expected + Received Object { "default": Object { "apiKey": "<yoXXXXX...", "dimensions": 1536, "distribution": Object { "mean": 0.7, "sigma": 0.3, }, "documentTemplate": "A movie titled '{{doc.title}}' whose description starts with {{doc.overview|truncatewords: 20}}", + "documentTemplateMaxBytes": 400, "headers": Object { "Custom-Header": "CustomValue", }, "request": Object { "input": Array [ "{{text}}", "{{..}}", ], "model": "text-embedding-3-small", }, "response": Object { "data": Array [ Object { "embedding": "{{embedding}}", }, "{{..}}", ], }, "source": "rest", "url": "https://api.openai.com/v1/embeddings", }, } ❯ tests/embedders.test.ts:200:24
tests/embedders.test.ts > Test on embedders > Master key: Update embedders with 'ollama' source: tests/embedders.test.ts#L231
AssertionError: expected { default: { source: 'ollama', …(7) } } to deeply equal { default: { source: 'ollama', …(6) } } - Expected + Received Object { "default": Object { "apiKey": "<yoXXXXX...", "dimensions": 512, "distribution": Object { "mean": 0.7, "sigma": 0.3, }, "documentTemplate": "blabla", + "documentTemplateMaxBytes": 400, "model": "nomic-embed-text", "source": "ollama", "url": "http://localhost:11434/api/embeddings", }, } ❯ tests/embedders.test.ts:231:24
tests/embedders.test.ts > Test on embedders > Master key: search for similar documents: src/http-requests.ts#L168
MeiliSearchApiError: Missing field `embedder` ❯ HttpRequests.request src/http-requests.ts:168:13 ❯ HttpRequests.post src/http-requests.ts:245:12 ❯ Index.searchSimilarDocuments src/indexes.ts:195:12 ❯ tests/embedders.test.ts:290:24 ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯ Serialized Error: { response: { constructor: 'Function<Response>', type: 'basic', url: 'http://127.0.0.1:7700/indexes/movies_test/similar', redirected: false, status: 400, ok: false, statusText: 'Bad Request', headers: { constructor: 'Function<Headers>', append: 'Function<append>', delete: 'Function<delete>', get: 'Function<get>', has: 'Function<has>', set: 'Function<set>', getSetCookie: 'Function<getSetCookie>', keys: 'Function<keys>', values: 'Function<values>', entries: 'Function<entries>', forEach: 'Function<forEach>' }, body: { constructor: 'Function<ReadableStream>', locked: true, cancel: 'Function<cancel>', getReader: 'Function<getReader>', pipeThrough: 'Function<pipeThrough>', pipeTo: 'Function<pipeTo>', tee: 'Function<tee>', values: 'Function<values>' }, bodyUsed: true, clone: 'Function<clone>', blob: 'Function<blob>', arrayBuffer: 'Function<arrayBuffer>', text: 'Function<text>', json: 'Function<json>', formData: 'Function<formData>', bytes: 'Function<bytes>' } }
tests/embedders.test.ts > Test on embedders > Admin key: Update embedders with 'openAi' source: tests/embedders.test.ts#L130
AssertionError: expected { default: { source: 'openAi', …(7) } } to deeply equal { default: { source: 'openAi', …(6) } } - Expected + Received Object { "default": Object { "apiKey": "<yoXXXXX...", "dimensions": 1536, "distribution": Object { "mean": 0.7, "sigma": 0.3, }, "documentTemplate": "A movie titled '{{doc.title}}' whose description starts with {{doc.overview|truncatewords: 20}}", + "documentTemplateMaxBytes": 400, "model": "text-embedding-3-small", "source": "openAi", "url": "https://api.openai.com/v1/embeddings", }, } ❯ tests/embedders.test.ts:130:24
tests/embedders.test.ts > Test on embedders > Admin key: Update embedders with 'huggingFace' source: tests/embedders.test.ts#L159
AssertionError: expected { default: { …(5) } } to deeply equal { default: { …(4) } } - Expected + Received Object { "default": Object { "distribution": Object { "mean": 0.7, "sigma": 0.3, }, "documentTemplate": "A movie titled '{{doc.title}}' whose description starts with {{doc.overview|truncatewords: 20}}", + "documentTemplateMaxBytes": 400, "model": "sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2", "source": "huggingFace", }, } ❯ tests/embedders.test.ts:159:24
tests/embedders.test.ts > Test on embedders > Admin key: Update embedders with 'rest' source: tests/embedders.test.ts#L200
AssertionError: expected { default: { source: 'rest', …(9) } } to deeply equal { default: { source: 'rest', …(8) } } - Expected + Received Object { "default": Object { "apiKey": "<yoXXXXX...", "dimensions": 1536, "distribution": Object { "mean": 0.7, "sigma": 0.3, }, "documentTemplate": "A movie titled '{{doc.title}}' whose description starts with {{doc.overview|truncatewords: 20}}", + "documentTemplateMaxBytes": 400, "headers": Object { "Custom-Header": "CustomValue", }, "request": Object { "input": Array [ "{{text}}", "{{..}}", ], "model": "text-embedding-3-small", }, "response": Object { "data": Array [ Object { "embedding": "{{embedding}}", }, "{{..}}", ], }, "source": "rest", "url": "https://api.openai.com/v1/embeddings", }, } ❯ tests/embedders.test.ts:200:24
tests/embedders.test.ts > Test on embedders > Admin key: Update embedders with 'ollama' source: tests/embedders.test.ts#L231
AssertionError: expected { default: { source: 'ollama', …(7) } } to deeply equal { default: { source: 'ollama', …(6) } } - Expected + Received Object { "default": Object { "apiKey": "<yoXXXXX...", "dimensions": 512, "distribution": Object { "mean": 0.7, "sigma": 0.3, }, "documentTemplate": "blabla", + "documentTemplateMaxBytes": 400, "model": "nomic-embed-text", "source": "ollama", "url": "http://localhost:11434/api/embeddings", }, } ❯ tests/embedders.test.ts:231:24
tests/embedders.test.ts > Test on embedders > Admin key: search for similar documents: src/http-requests.ts#L168
MeiliSearchApiError: Missing field `embedder` ❯ HttpRequests.request src/http-requests.ts:168:13 ❯ HttpRequests.post src/http-requests.ts:245:12 ❯ Index.searchSimilarDocuments src/indexes.ts:195:12 ❯ tests/embedders.test.ts:290:24 ⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯⎯ Serialized Error: { response: { constructor: 'Function<Response>', type: 'basic', url: 'http://127.0.0.1:7700/indexes/movies_test/similar', redirected: false, status: 400, ok: false, statusText: 'Bad Request', headers: { constructor: 'Function<Headers>', append: 'Function<append>', delete: 'Function<delete>', get: 'Function<get>', has: 'Function<has>', set: 'Function<set>', getSetCookie: 'Function<getSetCookie>', keys: 'Function<keys>', values: 'Function<values>', entries: 'Function<entries>', forEach: 'Function<forEach>' }, body: { constructor: 'Function<ReadableStream>', locked: true, cancel: 'Function<cancel>', getReader: 'Function<getReader>', pipeThrough: 'Function<pipeThrough>', pipeTo: 'Function<pipeTo>', tee: 'Function<tee>', values: 'Function<values>' }, bodyUsed: true, clone: 'Function<clone>', blob: 'Function<blob>', arrayBuffer: 'Function<arrayBuffer>', text: 'Function<text>', json: 'Function<json>', formData: 'Function<formData>', bytes: 'Function<bytes>' } }