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https://github.com/infiniflow/ragflow.git
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## Summary Aligns the Go ingestion pipeline with the Python implementation, closing several behavioral gaps found during the Python→Go migration (tracked in `docs/migration_python_go_diff.md`). Covers parser/media dispatch alignment, the PDF coordinate-chain (preview images, outline→title, chunk coordinate finalization), and the Chunker Token/QA batches below. Commits are grouped as follows. ### 1. Fix parser params (c524f450e) Fixes parser/media wiring and several dispatch gaps: - **docx/pdf vision dispatch**: correct parameter handling and VLM invocation. - **markdown vision (diff 2.5)**: also enhance items whose `doc_type_kwd` is `table`, not only `image` (parser/utils.py:181). - **media audio (diff 2.11)**: when `output_format` is `json`, carry the ASR transcription as a JSON item instead of only the `Text` field (the Invoke switch had no `json` branch and dropped it). - **email (diff 2.2)**: default `output_format` is `json` (parser.py:212), not `text`. - **tokenizer**: handle empty/whitespace-only names; trim before embedding. - **extractor**: tag-matching parameter wiring. - **split**: keyword-split regex now covers CJK/English separators. - **parser.go**: parser-param plumbing. ### 2. fix parser gap (373537da1) Image dispatch now mirrors `rag/app/picture.py:chunk()`: - Always OCR the image (PaddleOCR or local ONNX). - When OCR text is short, also call VLM (`describe`) and combine `OCR + VLM` text. - Emits a **structured JSON item** carrying the image data-URI and `doc_type_kwd:"image"`, instead of a bare `Text` string. This fixes the payload being rejected downstream by OneChunker/TokenChunker (JSON=nil). ### 3. PDF coordinate-chain fixes (55367a820,727f8167c) Closes three items from the migration tracker in the chunker/tokenizer/task layer: - **(Chunker-1.3) `restore_pdf_text_previews`** — `needsCrop` now also returns true for `text` chunks that carry PDF positions (`pdfcrop_cgo.go`), so text blocks get a rendered preview image uploaded to storage via `imageUploadDecorator`/`ChunkImageUploader`, matching Python `restore_pdf_text_previews` + `image2id`. - **(Chunker-1.5) PDF outline → title levels** — `title.go` adds `outlineSimilarity` (rune-bigram Jaccard, mirroring `common.py:_outline_similarity`), `resolveOutlineLevels` (matches text lines to outline entries at similarity > 0.8, with a sparse guard `len(outline)/len(records) <= 0.03`), and `outlineFromInputs` (reads `file.outline`). Wired into `newLevelContext` in both `group.go` and `hierarchy.go`; falls back to the title-shape heuristic when no outline is present. - **(Tokenizer-(T)1) `finalize_pdf_chunk`** — the coordinate → `position_int`/`page_num_int`/`top_int` conversion is owned by the task layer (`processChunkPositions`→`AddPositions`), which runs *after* the tokenizer and consumes the tokenizer-owned fields. The tokenizer only preserves the raw `positions`/`_pdf_positions` (no duplicate conversion), pinned by `TestChunkDocsToMaps_PreservesPDFPositions`. ### 4. Integration test made environment-free (`internal/ingestion/task/pipeline_real_integration_test.go`) - Removed the `//go:build integration` tag so the contract tests run under the default `build.sh --test` (which does not pass `-tags integration`). - External dependencies replaced with in-memory substitutes so no MySQL/MinIO/ES is required: - MySQL → on-disk sqlite (`glebarez/sqlite`) with the needed tables auto-migrated. - MinIO → `storage.NewMemoryStorage()`. - Elasticsearch → chunks captured via `WithInsertFunc` instead of `engine.InsertChunks`/`Search`. - `requireTokenizerPool` still skips gracefully when the native tokenizer pool is unavailable; `WithLogCreateFunc(noop)` avoids depending on the operation-log table. - Added `taskChunkFieldEqualsStr` to tolerate `kb_id` being a `[]string`/`[]any` in the raw chunk payload (the search engine flattens it to a string on read). ### 5. TokenChunker alignment — Batch 1 (`internal/ingestion/component/chunker/token.go`) Closes four Chunker items from the migration tracker: - **(Chunker-2.1) sentence delimiter** — the boundary regex now also breaks on ASCII `!`/`?`. Extracted to a package-level `var sentenceDelimiter` and used in `mergeByTokenSize`, matching Python's full delimiter set. - **(Chunker-2.2) overlap tag leakage** — when a new chunk starts, its overlap prefix is taken from the previous chunk *after* `removeTag`, in both the text path (`mergeByTokenSize`) and the JSON path (`mergeByTokenSizeFromJSON`). Parser tags (`@@…##`) no longer leak into the overlap region (mirrors `nlp/__init__.py:1181`). - **(Chunker-2.11) empty-text merge** — merging a non-empty chunk into an empty previous chunk now assigns the text directly instead of being skipped (`mergeByTokenSizeFromJSON`), mirroring `token_chunker.py:236-239`. - **(Chunker-2.4) overlap token counting** — `takeFromEnd`/`takeFromStart` now count tokens exactly via `tokenizeStr` instead of the 4-bytes/token heuristic, fixing over-counting for CJK text. ### 6. QA Chunker alignment — Batch 2 (`internal/ingestion/component/chunker/qa.go` + `schema`) Closes three Chunker items from the migration tracker: - **(Chunker-2.13) default language** — an empty `lang` now defaults to Chinese prefixes (`问题:`/`回答:`) instead of English, matching `qa.py:299`. - **(Chunker-2.12) `rmQAPrefix` regex** — the separator is changed to `[\t:: ]+` (one-or-more), matching `qa.py:241`, so multiple separators (e.g. `Q:: answer`) are fully stripped. - **(Chunker-1.8 QA) missing chunk fields** — QA chunks now preserve: - `top_int` — the source row/record index, threaded through the tab/csv/markdown extractors (mirrors `qa.py` `beAdoc(..., row_num=i)`); - `image` + `doc_type_kwd:"image"`; - `_pdf_positions` / `positions` carried from the upstream JSON item. `schema.ChunkDoc` gains a `TopInt []int` field (serialized as `top_int`, registered in `UnmarshalJSON`). Note: the Tag/Table/Presentation/One chunker field gaps under 1.8 remain pending. ## Test plan - Added/updated unit tests: `pdfcrop_cgo_test.go` (`TestNeedsCrop`, `TestRestorePDFTextPreview`), `title_test.go` (`TestResolveOutlineLevels`, `TestResolveOutlineLevels_SparseGuard`, `TestNewLevelContext_OutlineBranch`, `TestOutlineFromInputs`), `tokenizer_unit_test.go` (`TestChunkDocsToMaps_PreservesPDFPositions`), `token_pdfpos_test.go`. - **Batch 1** — `token_batch1_test.go`: `TestSentenceDelimiterMatchesBangAndQuestion`, `TestMergeByTokenSizeFromJSON_OverlapStripsTags`, `TestMergeByTokenSizeFromJSON_EmptyPrevKeepsChunk`, `TestTakeFromEndRespectsTokenCount`, `TestTakeFromStartRespectsTokenCount`. - **Batch 2** — `qa_batch2_test.go`: `TestQAChunker_DefaultLangIsChinese`, `TestRmQAPrefixStripsMultipleSeparators`, `TestQAChunker_SetsTopInt`, `TestQAChunker_CarriesImageAndPositions`. Existing `qa_test.go` expectations were updated to the corrected language default / separator behavior. - `pipeline_real_integration_test.go` (`TestPipelineExecutor_Run_RealCanvasDSL_UsesGeneralPipeline`, `TestPipelineExecutor_Run_RealPDF_ProducesIndexedChunks`, `TestRunPipeline_RealPipelineOutput_ProducesIndexFields`) now runs without any external service. - `bash build.sh --test ./internal/ingestion/...` passes. - No files deleted.
365 lines
13 KiB
Go
365 lines
13 KiB
Go
//
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// Copyright 2026 The InfiniFlow Authors. All Rights Reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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package component
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import (
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"context"
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"strings"
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"sync"
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"testing"
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"ragflow/internal/common"
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"ragflow/internal/entity"
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modelModule "ragflow/internal/entity/models"
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"ragflow/internal/utility"
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)
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// imagePromptCaptureDriver embeds ModelDriver so it satisfies the interface
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// without listing every method; only ChatWithMessages is overridden to record
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// the messages the image branch selected.
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type imagePromptCaptureDriver struct {
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modelModule.ModelDriver
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mu sync.Mutex
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captured []modelModule.Message
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}
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func (d *imagePromptCaptureDriver) ChatWithMessages(ctx context.Context, modelName string, messages []modelModule.Message, apiConfig *modelModule.APIConfig, chatModelConfig *modelModule.ChatConfig, usage *common.ModelUsage) (*modelModule.ChatResponse, error) {
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d.mu.Lock()
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d.captured = append(d.captured, messages...)
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d.mu.Unlock()
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ans := "captured"
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return &modelModule.ChatResponse{Answer: &ans}, nil
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}
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// firstUserText extracts the text of the first "text" content part from the
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// first captured user message. It scans parts by the "type" discriminator so
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// the test stays valid regardless of part ordering (image_url may precede text).
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func firstUserText(msgs []modelModule.Message) (string, bool) {
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if len(msgs) == 0 {
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return "", false
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}
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parts, ok := msgs[0].Content.([]interface{})
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if !ok || len(parts) == 0 {
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return "", false
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}
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for _, raw := range parts {
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part, ok := raw.(map[string]any)
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if !ok {
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continue
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}
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if part["type"] != "text" {
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continue
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}
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if txt, ok := part["text"].(string); ok {
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return txt, true
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}
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}
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return "", false
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}
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// TestMaybeDispatchImage_UsesSystemPrompt pins that the image branch reads the
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// `system_prompt` setup key (Python/DSL contract), not `prompt`. Before the fix
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// the branch read setup["prompt"] which is empty for image, so the VLM received
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// the hardcoded default instead of the user-configured value.
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func TestMaybeDispatchImage_UsesSystemPrompt(t *testing.T) {
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origResolver := resolveTenantModelByType
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defer func() { resolveTenantModelByType = origResolver }()
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drv := &imagePromptCaptureDriver{}
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resolveTenantModelByType = func(tenantID string, modelType entity.ModelType) (modelModule.ModelDriver, string, *modelModule.APIConfig, int, error) {
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return drv, "img-model", &modelModule.APIConfig{}, 0, nil
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}
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setups := defaultSetups()
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// image family's contract key is system_prompt (parser.go:295).
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// Also set a legacy `prompt` sentinel to assert system_prompt wins
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// when both keys are present (regression guard against re-reading
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// setup["prompt"], which is the video-family key, not image).
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setups["image"]["prompt"] = "legacy prompt"
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setups["image"]["system_prompt"] = "自定义视觉提示"
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res, dispatched, err := maybeDispatchImage(
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context.Background(),
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utility.FileTypeVISUAL,
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"test.png",
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[]byte("not-a-real-image"),
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map[string]any{"tenant_id": "t1"},
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setups,
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)
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if err != nil {
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t.Fatalf("maybeDispatchImage: %v", err)
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}
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if !dispatched {
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t.Fatalf("expected dispatched=true for VISUAL file")
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}
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// After the output-shape fix the image branch returns JSON items
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// (OutputFormat=="json"), not a bare Text field. The combined text
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// now lives in JSON[0]["text"]; the legacy res.Text is no longer
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// populated for the image family.
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if res.OutputFormat != "json" {
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t.Fatalf("OutputFormat = %q, want json (image family is always structured)", res.OutputFormat)
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}
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if len(res.JSON) != 1 {
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t.Fatalf("JSON len = %d, want 1 (image result must be a single JSON item)", len(res.JSON))
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}
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if txt, _ := res.JSON[0]["text"].(string); txt == "" {
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t.Fatalf("expected non-empty combined text in JSON[0][\"text\"]")
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}
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got, ok := firstUserText(drv.captured)
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if !ok {
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t.Fatalf("no user text captured in VLM messages: %#v", drv.captured)
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}
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if got != "自定义视觉提示" {
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t.Fatalf("VLM user text = %q, want %q (image branch must read system_prompt)", got, "自定义视觉提示")
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}
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}
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// TestMaybeDispatchImage_ReturnsJSONWithImage pins the output-shape fix:
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// the image branch must return a JSON item carrying the `image` attachment
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// (data URI) and `doc_type_kwd:"image"`, mirroring Python
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// rag/app/picture.py:71-72. Before the fix the branch returned a bare Text
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// string with JSON=nil, dropping the image attachment and (on the default
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// json path) causing OneChunker/TokenChunker to reject the payload.
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func TestMaybeDispatchImage_ReturnsJSONWithImage(t *testing.T) {
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origResolver := resolveTenantModelByType
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defer func() { resolveTenantModelByType = origResolver }()
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drv := &imagePromptCaptureDriver{}
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resolveTenantModelByType = func(tenantID string, modelType entity.ModelType) (modelModule.ModelDriver, string, *modelModule.APIConfig, int, error) {
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return drv, "img-model", &modelModule.APIConfig{}, 0, nil
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}
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setups := defaultSetups()
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res, dispatched, err := maybeDispatchImage(
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context.Background(),
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utility.FileTypeVISUAL,
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"test.png",
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[]byte("not-a-real-image"),
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map[string]any{"tenant_id": "t1"},
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setups,
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)
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if err != nil {
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t.Fatalf("maybeDispatchImage: %v", err)
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}
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if !dispatched {
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t.Fatalf("expected dispatched=true")
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}
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if res.OutputFormat != "json" {
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t.Fatalf("OutputFormat = %q, want json", res.OutputFormat)
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}
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if len(res.JSON) != 1 {
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t.Fatalf("JSON len = %d, want 1", len(res.JSON))
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}
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item := res.JSON[0]
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if got, _ := item["doc_type_kwd"].(string); got != "image" {
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t.Errorf("doc_type_kwd = %q, want \"image\"", got)
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}
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img, _ := item["image"].(string)
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if !strings.HasPrefix(img, "data:") || !strings.Contains(img, ";base64,") {
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t.Errorf("image = %q, want a data URI (data:<mime>;base64,<b64>)", img)
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}
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if txt, _ := item["text"].(string); txt == "" {
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t.Errorf("text field empty; want non-empty combined OCR+VLM text")
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}
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}
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// TestMaybeDispatchImage_HardcodesJSONOutput verifies the image family
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// always emits json regardless of setup["output_format"]. Python
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// rag/app/picture.py:chunk() has no output_format concept — it always
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// returns a structured doc. Honoring a "text" override produced a bare
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// Text payload that lost the image attachment and set doc_type to "text".
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func TestMaybeDispatchImage_HardcodesJSONOutput(t *testing.T) {
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origResolver := resolveTenantModelByType
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defer func() { resolveTenantModelByType = origResolver }()
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drv := &imagePromptCaptureDriver{}
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resolveTenantModelByType = func(tenantID string, modelType entity.ModelType) (modelModule.ModelDriver, string, *modelModule.APIConfig, int, error) {
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return drv, "img-model", &modelModule.APIConfig{}, 0, nil
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}
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setups := defaultSetups()
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setups["image"]["output_format"] = "text" // legacy/override; must be ignored
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res, _, err := maybeDispatchImage(
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context.Background(),
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utility.FileTypeVISUAL,
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"test.png",
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[]byte("not-a-real-image"),
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map[string]any{"tenant_id": "t1"},
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setups,
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)
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if err != nil {
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t.Fatalf("maybeDispatchImage: %v", err)
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}
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if res.OutputFormat != "json" {
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t.Fatalf("OutputFormat = %q, want json (image family must ignore output_format override)", res.OutputFormat)
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}
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if len(res.JSON) != 1 {
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t.Fatalf("JSON len = %d, want 1 even when setup says text", len(res.JSON))
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}
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}
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// audioTranscribeDriver is a mock ModelDriver whose TranscribeAudio returns a
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// fixed transcription, so maybeDispatchAudio can be exercised without a real
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// ASR provider.
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type audioTranscribeDriver struct {
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modelModule.ModelDriver
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transcription string
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}
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func (d *audioTranscribeDriver) TranscribeAudio(ctx context.Context, _ *string, _ *string, _ *modelModule.APIConfig, _ *modelModule.ASRConfig, _ *common.ModelUsage) (*modelModule.ASRResponse, error) {
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return &modelModule.ASRResponse{Text: d.transcription}, nil
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}
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// TestMaybeDispatchAudio_JSONCarriesTranscription pins diff 2.11: when the
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// audio family's output_format is "json", the ASR transcription must be
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// carried in the JSON items (not only in the Text field). Before the fix the
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// branch returned Text only with an empty JSON slice, and the Invoke switch
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// silently dropped the transcription because it has no "json" branch.
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func TestMaybeDispatchAudio_JSONCarriesTranscription(t *testing.T) {
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origResolver := resolveTenantModelByType
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defer func() { resolveTenantModelByType = origResolver }()
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const want = "hello world"
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drv := &audioTranscribeDriver{transcription: want}
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resolveTenantModelByType = func(tenantID string, modelType entity.ModelType) (modelModule.ModelDriver, string, *modelModule.APIConfig, int, error) {
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return drv, "asr-model", &modelModule.APIConfig{}, 0, nil
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}
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setups := defaultSetups()
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setups["audio"]["output_format"] = "json"
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res, dispatched, err := maybeDispatchAudio(
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context.Background(),
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utility.FileTypeAURAL,
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"test.mp3",
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[]byte("fake-audio"),
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map[string]any{"tenant_id": "t1"},
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setups,
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)
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if err != nil {
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t.Fatalf("maybeDispatchAudio: %v", err)
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}
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if !dispatched {
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t.Fatalf("expected dispatched=true for AURAL file")
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}
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if res.OutputFormat != "json" {
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t.Fatalf("OutputFormat = %q, want json", res.OutputFormat)
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}
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if len(res.JSON) != 1 {
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t.Fatalf("JSON len = %d, want 1 (transcription must be carried as a JSON item)", len(res.JSON))
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}
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if got, _ := res.JSON[0]["text"].(string); got != want {
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t.Fatalf("JSON[0].text = %q, want %q", got, want)
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}
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if got, _ := res.JSON[0]["doc_type_kwd"].(string); got != "audio" {
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t.Fatalf("JSON[0].doc_type_kwd = %q, want audio", got)
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}
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}
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// TestMaybeDispatchAudio_TextCarriesTranscription guards the text path: with
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// output_format "text" the transcription stays in the Text field and JSON is
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// empty (current default after aligning with Python parser.py:232).
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func TestMaybeDispatchAudio_TextCarriesTranscription(t *testing.T) {
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origResolver := resolveTenantModelByType
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defer func() { resolveTenantModelByType = origResolver }()
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const want = "hello world"
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drv := &audioTranscribeDriver{transcription: want}
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resolveTenantModelByType = func(tenantID string, modelType entity.ModelType) (modelModule.ModelDriver, string, *modelModule.APIConfig, int, error) {
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return drv, "asr-model", &modelModule.APIConfig{}, 0, nil
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}
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setups := defaultSetups()
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setups["audio"]["output_format"] = "text"
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res, dispatched, err := maybeDispatchAudio(
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context.Background(),
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utility.FileTypeAURAL,
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"test.mp3",
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[]byte("fake-audio"),
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map[string]any{"tenant_id": "t1"},
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setups,
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)
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if err != nil {
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t.Fatalf("maybeDispatchAudio: %v", err)
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}
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if !dispatched {
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t.Fatalf("expected dispatched=true for AURAL file")
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}
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if res.OutputFormat != "text" {
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t.Fatalf("OutputFormat = %q, want text", res.OutputFormat)
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}
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if res.Text != want {
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t.Fatalf("Text = %q, want %q", res.Text, want)
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}
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if len(res.JSON) != 0 {
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t.Fatalf("JSON len = %d, want 0 for text output", len(res.JSON))
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}
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}
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// TestMaybeDispatchMarkdownVision_EnhancesTables pins diff 2.5: markdown
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// vision enhancement must also process items whose doc_type_kwd is "table"
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// (Python checks {"image","table"} in parser/utils.py:181), not only "image".
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// Before the fix the table item was skipped and never sent to the VLM.
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func TestMaybeDispatchMarkdownVision_EnhancesTables(t *testing.T) {
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origResolver := resolveTenantModelByType
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defer func() { resolveTenantModelByType = origResolver }()
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drv := &imagePromptCaptureDriver{}
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resolveTenantModelByType = func(tenantID string, modelType entity.ModelType) (modelModule.ModelDriver, string, *modelModule.APIConfig, int, error) {
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return drv, "img-model", &modelModule.APIConfig{}, 0, nil
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}
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dispatched := parserDispatchResult{
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OutputFormat: "json",
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JSON: []map[string]any{
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{"doc_type_kwd": "table", "image": "base64table", "text": ""},
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},
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}
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res, handled, err := maybeDispatchMarkdownVision(
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context.Background(),
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utility.FileTypeMarkdown,
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|
dispatched,
|
|
map[string]any{"tenant_id": "t1"},
|
|
)
|
|
if err != nil {
|
|
t.Fatalf("maybeDispatchMarkdownVision: %v", err)
|
|
}
|
|
if !handled {
|
|
t.Fatalf("expected handled=true for markdown with a table image")
|
|
}
|
|
if len(res.JSON) != 1 {
|
|
t.Fatalf("JSON len = %d, want 1", len(res.JSON))
|
|
}
|
|
// The table item must have been sent to the VLM and its description appended.
|
|
if got, _ := res.JSON[0]["text"].(string); got != "captured" {
|
|
t.Fatalf("table item text = %q, want %q (table items must be vision-enhanced)", got, "captured")
|
|
}
|
|
}
|
|
|
|
// TestDefaultEmailOutputFormatIsJSON pins diff 2.2: the email family default
|
|
// output_format must be "json" (matching Python parser.py:212), not "text".
|
|
// With "text" the structured email fields (from/to/subject/attachments/...) are
|
|
// flattened into a blob and lost downstream.
|
|
func TestDefaultEmailOutputFormatIsJSON(t *testing.T) {
|
|
got, _ := defaultSetups()["email"]["output_format"].(string)
|
|
if got != "json" {
|
|
t.Fatalf("email default output_format = %q, want json", got)
|
|
}
|
|
}
|