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fix: use Blob instead of File (run-llama#1231)
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| Original file line number | Diff line number | Diff line change |
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| @@ -0,0 +1,7 @@ | ||
| --- | ||
| "@llamaindex/cloud": patch | ||
| --- | ||
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| fix: backport for node.js 18 | ||
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| There could have one missing API in the node.js 18, so we need to backport it to make it work. |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1 @@ | ||
| POSTGRES_USER=runner |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,176 @@ | ||
| /** | ||
| * DO NOT PUT THIS TEST CASE FROM VITEST TO NODE.JS TEST RUNNER | ||
| * | ||
| * msw has side effect that will replace the global fetch function, | ||
| * which will cause the test runner to hang indefinitely for some reason. | ||
| * but vitest will start new process for each test case, so it's safe to use msw in vitest, | ||
| * in the meanwhile, node.js test runner only run in single process. | ||
| */ | ||
| import { faker } from "@faker-js/faker"; | ||
| import { http, HttpResponse } from "msw"; | ||
| import { setupServer } from "msw/node"; | ||
| import { fileURLToPath } from "node:url"; | ||
| import { afterAll, afterEach, beforeAll, expect, test } from "vitest"; | ||
|
|
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| const jobsHashMap = new Map<string, boolean>(); | ||
|
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| const handlers = [ | ||
| http.post("https://api.cloud.llamaindex.ai/api/v1/parsing/upload", () => { | ||
| return HttpResponse.json({ | ||
| id: faker.string.uuid(), | ||
| }); | ||
| }), | ||
| http.get( | ||
| "https://api.cloud.llamaindex.ai/api/v1/parsing/job/:id", | ||
| ({ params }): HttpResponse => { | ||
| const jobId = params.id as string; | ||
| if (jobsHashMap.has(jobId)) { | ||
| return HttpResponse.json({ | ||
| id: jobId, | ||
| status: "SUCCESS", | ||
| }); | ||
| } else { | ||
| jobsHashMap.set(jobId, true); | ||
| } | ||
| return HttpResponse.json({ | ||
| id: jobId, | ||
| status: "PENDING", | ||
| }); | ||
| }, | ||
| ), | ||
| http.get( | ||
| "https://api.cloud.llamaindex.ai/api/v1/parsing/job/:id/result/markdown", | ||
| () => { | ||
| const job_metadata = { | ||
| credits_used: faker.number.int({ min: 1, max: 10 }), | ||
| credits_max: 1000, | ||
| job_credits_usage: faker.number.int({ min: 1, max: 10 }), | ||
| job_pages: faker.number.int({ min: 0, max: 5 }), | ||
| job_is_cache_hit: faker.datatype.boolean(), | ||
| }; | ||
| return HttpResponse.json({ | ||
| markdown: faker.lorem.paragraphs({ | ||
| min: 3, | ||
| max: 1000, | ||
| }), | ||
| job_metadata, | ||
| }); | ||
| }, | ||
| ), | ||
| http.get( | ||
| "https://api.cloud.llamaindex.ai/api/v1/parsing/job/:id/result/text", | ||
| () => { | ||
| const job_metadata = { | ||
| credits_used: faker.number.int({ min: 1, max: 10 }), | ||
| credits_max: 1000, | ||
| job_credits_usage: faker.number.int({ min: 1, max: 10 }), | ||
| job_pages: faker.number.int({ min: 0, max: 5 }), | ||
| job_is_cache_hit: faker.datatype.boolean(), | ||
| }; | ||
| return HttpResponse.json({ | ||
| text: faker.lorem.paragraphs({ | ||
| min: 3, | ||
| max: 1000, | ||
| }), | ||
| job_metadata, | ||
| }); | ||
| }, | ||
| ), | ||
| http.get( | ||
| "https://api.cloud.llamaindex.ai/api/v1/parsing/job/:id/result/json", | ||
| () => { | ||
| const pages = Array.from({ length: 1 }, () => ({ | ||
| page: 1, | ||
| text: faker.lorem.paragraphs(2), | ||
| md: `# ${faker.lorem.sentence()}\n\n${faker.lorem.paragraph()}`, | ||
| images: [ | ||
| { | ||
| name: faker.system.fileName(), | ||
| height: faker.number.int({ min: 100, max: 500 }), | ||
| width: faker.number.int({ min: 600, max: 1600 }), | ||
| x: faker.number.int({ min: 0, max: 50 }), | ||
| y: faker.number.int({ min: 0, max: 50 }), | ||
| original_width: faker.number.int({ min: 1800, max: 2000 }), | ||
| original_height: faker.number.int({ min: 400, max: 600 }), | ||
| }, | ||
| ], | ||
| items: [ | ||
| { | ||
| type: "heading", | ||
| lvl: 1, | ||
| value: faker.lorem.sentence(), | ||
| md: `# ${faker.lorem.sentence()}`, | ||
| bBox: { | ||
| x: faker.number.float({ min: 20, max: 40 }), | ||
| y: faker.number.float({ min: 20, max: 30 }), | ||
| w: faker.number.float({ min: 300, max: 400 }), | ||
| h: faker.number.float({ min: 30, max: 50 }), | ||
| }, | ||
| }, | ||
| { | ||
| type: "table", | ||
| rows: [ | ||
| [faker.lorem.word(), faker.lorem.sentence()], | ||
| [faker.lorem.word(), faker.lorem.sentence()], | ||
| [faker.lorem.word(), faker.lorem.sentence()], | ||
| [faker.lorem.word(), faker.lorem.sentence()], | ||
| ], | ||
| md: faker.lorem.sentences(4), | ||
| isPerfectTable: faker.datatype.boolean(), | ||
| csv: faker.lorem.sentences(4), | ||
| }, | ||
| { | ||
| type: "text", | ||
| value: faker.lorem.paragraphs(2), | ||
| md: faker.lorem.paragraphs(2), | ||
| bBox: { | ||
| x: faker.number.float({ min: 5, max: 10 }), | ||
| y: faker.number.float({ min: 20, max: 30 }), | ||
| w: faker.number.float({ min: 800, max: 900 }), | ||
| h: faker.number.float({ min: 30, max: 50 }), | ||
| }, | ||
| }, | ||
| ], | ||
| })); | ||
|
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| const response = { | ||
| pages, | ||
| job_metadata: { | ||
| credits_used: faker.number.int({ min: 1, max: 10 }), | ||
| credits_max: 1000, | ||
| job_credits_usage: faker.number.int({ min: 1, max: 10 }), | ||
| job_pages: faker.number.int({ min: 0, max: 5 }), | ||
| job_is_cache_hit: faker.datatype.boolean(), | ||
| }, | ||
| }; | ||
| return HttpResponse.json(response); | ||
| }, | ||
| ), | ||
| ]; | ||
|
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| const server = setupServer(...handlers); | ||
|
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| beforeAll(() => { | ||
| server.listen({ | ||
| onUnhandledRequest: "error", | ||
| }); | ||
| }); | ||
|
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| afterEach(() => { | ||
| server.resetHandlers(); | ||
| }); | ||
|
|
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| afterAll(() => { | ||
| server.close(); | ||
| }); | ||
|
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| test("llama parse should return a successful document", async () => { | ||
| const { LlamaParseReader } = await import("@llamaindex/cloud/reader"); | ||
| const reader = new LlamaParseReader({ | ||
| verbose: false, | ||
| apiKey: "llx-fake-api-key", | ||
| }); | ||
| const fileUrl = new URL("../../../../examples/data/TOS.pdf", import.meta.url); | ||
| const documents = await reader.loadData(fileURLToPath(fileUrl)); | ||
| expect(documents.length).toBe(1); | ||
| }); |
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