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989529c00a2f1cf4f3f797aefbc7b87ec437e19d
10 Commits
| Author | SHA1 | Message | Date | |
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9b0719fa94 |
fix: Go ingestion migration batch 5 (Parser 1.1/1.7/2.11, Chunker 1.7/1.8/2.6/2.7, Tokenizer 6x fixes) (#17419)
## Summary
Continuation of the Python→Go ingestion pipeline migration (File →
Parser → Chunker → Extractor → Tokenizer). Fixes cover Parser, Chunker,
and Tokenizer gaps identified. Fix page number (0-indexed and 1-index
mixed before fix; use 1-indexed after fix) and chunk order issues.
### Parser
- **Slides TCADP (1.7):** `pptx_tcadp.go` + TCADP branch in
`pptx_parser.go`/`ppt_parser.go` — PowerPoint files now support
`parse_method="tcadp"` via the TCADP cloud service, matching the
spreadsheet-family TCADP pattern. PPT containers pass `"PPT"` as
fileType (not hardcoded `"PPTX"`).
- **Audio default output_format (2.11):** `defaultSetups()` audio
default changed from `"text"` to `"json"`, aligning with Python
`parser.py:232` and `AllowedOutputFormat["audio"]={"json"}`.
- **PDF VLM enhancement (1.1):** `maybeDispatchPDFVisionEnhancement` in
`pdf_vision_dispatch.go` enriches image/table items with IMAGE2TEXT
model descriptions after PDF parsing, mirroring Python
`enhance_media_sections_with_vision`. Semaphore fix: acquire before
goroutine start to prevent unbounded goroutine creation.
- **json family (2.3):** reclassified as Keep Go — `json_parser.go` is a
functional enhancement, not a parity gap.
- **page number:** changed from "mixed use of 1-indexed & 0-indexed" to
"1-indexed"
### Chunker
- **BULLET_PATTERN fallback (1.7):** 4th-level fallback in
`resolveTitleLevels` (`title.go`) detects bullet/numbered-list patterns
(Chinese legal, numbering, English) when outline + regex levels produce
only bodyLevel. Guarded by `allBodyLevel` to never override existing
structure.
- **Tag/One chunker fields (1.8):** `tag.go` sets `TopInt` from source
row index; `one.go` preserves `Positions`/`PDFPositions` from source
items. TSV multi-line RowNum fix: tracks `contentStart` for correct row
attribution.
- **Overlapped_percent normalization (2.6):**
`NormalizeOverlappedPercent` in `schema/chunker.go` mirrors Python
`common/float_utils.py:50-58` — accepts `[0,1)` fraction or `[0,90]`
percent, normalizes to canonical `[0,90]`.
- **Paragraph splitting (2.7):** aligned to Python flow `naive_merge` —
`CRLF` normalization, `splitKeepingDelimiter` preserves sentence
delimiters, single-section merge with token-budget-governed chunking.
- **chunk order:** sort by reading order
### Tokenizer
- **Phantom chunk filtering (Omission 2):** `isPhantomChunk` + filter
loop in `chunksFromTokenizerUpstream` skips zero-value ChunkDocs.
- **Batch size env var (Omission 3):** `embeddingBatchSize()` reads
`TOKENIZER_EMBEDDING_BATCH_SIZE`, defaults to 16.
- **Summary empty check (Diff 5):** `TrimSpace(s) != ""` → `s != ""`,
matching Python truthy check.
- **chunk_order_int all paths (Diff 8):** set unconditionally before
full_text/embedding branching.
- **Timeout default (Diff 10):** `600s` → `60s`, matching Python
`@timeout(60)`.
- **Small maxTokens truncation (Diff 14):** `truncateForEmbedding`
returns `""` when `maxTokens <= 10`, matching Python.
### Code review fixes
- Semaphore acquire moved before goroutine in `pdf_vision_dispatch.go`
(concurrency control)
- Context propagation in `pptx_tcadp.go` (cancellation support)
- Test resolver leak fix in `media_dispatch_test.go` (defer restore)
- Migration history comments removed per AGENTS.md
## Test plan
```
bash build.sh --test ./internal/parser/parser/... ./internal/ingestion/component/...
```
## Notes
- Migration diff tracking: `docs/migration_python_go_diff.md`
- Remaining gaps: Extractor component only (21 items)
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a6a67c5ece |
Chunker: port Python overlapped_percent normalization and BULLET_PATTERN title fallback (#17396)
## Summary Closes two Chunker migration gaps documented in `docs/migration_python_go_diff.md` (diffs **2.6** and **1.7**), improving parity with the Python ingestion pipeline. This is the code portion of commit `261e1fd0b` on branch `fix/batch-3-4`; the migration document itself is tracked separately (untracked in this commit). ### Diff 2.6 — `overlapped_percent` missing Python normalization Python's `normalize_overlapped_percent` (`common/float_utils.py:50-58`) accepts a `[0,1)` fraction (the flow-canvas UI validates `[0,1)`), multiplies it by 100, `int()`-truncates, and clamps to `[0,90]`. Go previously only accepted a raw `[0,90]` percentage and **rejected** out-of-range input, so a Python config passing `0.1` (meaning 10%) silently produced ~0% overlap. Added `normalizeOverlappedPercent` (`internal/ingestion/component/chunker/common.go`) mirroring the Python helper: - parses numbers and numeric strings (mirrors Python `float()`; bad / `NaN` / `Inf` → `0`), - `0 < v < 1 → v *= 100`, - `int()` truncation, - clamps to `[0,90]`. Wired into `tokenChunkerParam.Update` (`token.go`); the merge math (`token.go:705`, `(100-x)/100`) already matched Python. `TokenChunkerParam.Validate` (`schema/chunker.go`) now only guards direct struct construction. Tests: `TestNormalizeOverlappedPercent`, extended `TestTokenChunker_NewAcceptsPythonOverlappedRange` (adds fraction/clamp inputs), new `TestTokenChunker_NormalizesOverlappedPercent`. The existing reject-test cases for `<0` / `>90` were removed because they are now normalized/clamped (Python parity). ### Diff 1.7 — missing `BULLET_PATTERN` title-level fallback `resolveTitleLevels` (`title.go`) now applies a 4th-level fallback: when outline + regex + layout all yield body level, `bulletsCategory` selects the best-matching bullet-pattern group (Chinese legal / numbering / Chinese numbering / English legal — mirroring `rag/nlp/__init__.py:258-320`) and assigns structural levels. Guarded by `allBodyLevel` so it never overrides an existing outline/regex level. Tests: `TestResolveTitleLevels_BulletFallback` (4 subtests). ### Incidental test adjustments included in the commit - `token_batch1_test.go`: overlap input changed `0.3` → `30.0` to reflect the post-normalization 30% semantics. - `real_consumer_test.go`: updated `LoadFromIngestionTask(task)` → `LoadFromIngestionTask(ctx, task)` for the new context-first signature. ## Verification `bash build.sh --test ./internal/ingestion/component/...` — chunker + schema suites pass, no regression (CGO build). ## Migration doc reference `docs/migration_python_go_diff.md` §Chunker 1.7 and 2.6 are marked **Fixed** for these changes. |
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f53518c110 |
Go: add context, part5 (#17392)
Signed-off-by: Jin Hai <haijin.chn@gmail.com> |
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554925b583 |
Fix(go): align ingestion pipeline with Python (parser/media dispatch + PDF coordinate chain + Chunker) (#17349)
## 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 ( |
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bb6b43b5c9 |
fix: docx/email parsing, extractor LLM driver, and chunker alignment (#17144)
## Summary Three groups of changes across the Go ingestion pipeline: ### 1. DOCX parsing improvements - **docx_parser.go**: Enhanced DOCX parsing with better structure extraction and media handling - **docx_parser_cgo_test.go**, **docx_parser_test.go**: Companion tests - **office_parsers_no_cgo.go**: Stub sync for non-CGO builds ### 2. Email (.eml) parsing: base64 Content-Transfer-Encoding decoding - **email_parser.go** (`decodeCTE`): Added Content-Transfer-Encoding decoding for base64 and quoted-printable. Go's `mime/multipart.Reader` does not decode Content-Transfer-Encoding automatically, so attachments with `Content-Transfer-Encoding: base64` remained base64-encoded in the output. The new `decodeCTE` helper is called after reading each multipart part's raw bytes in `readMailBody`, mirroring Python's `part.get_payload(decode=True)`. - **email_parser_test.go**: Two new tests — simple base64 attachment and nested multipart/alternative with base64 attachment. ### 3. Extractor LLM driver fix + ModelDriver consolidation - **extractor.go**: Fixed a bug where the Extractor component used `ModelFactory.CreateModelDriver()`, which creates bare model instances without API keys or provider configuration. Switched to `models.GetPreconfiguredDriver()` which resolves the actual pre-configured driver from `ProviderManager`, matching the codepath used by `llm.go`. This fixes auto keyword/question extraction in DSL pipelines that require LLM calls. - **get_driver.go** (new): Extracted shared `GetPreconfiguredDriver()` from `llm.go:newChatModelDriver()` so both `llm.go` and `extractor.go` use the same codepath. - **get_driver_test.go** (new): Tests for the shared driver resolution. - **llm.go**: Replaced inline driver resolution with `models.GetPreconfiguredDriver()`. ### 4. Chunker fixes and observability - **group.go** (`extractLineRecords`): Fixed to also read `markdown` and `html` payload keys — previously it only read `text`/`content`, causing GroupTitleChunker to silently return empty results for markdown-format parser output. - **common.go** (`compileDelimPattern`): Aligned with Python's `_compile_delimiter_pattern` — only backtick-wrapped delimiters produce an active regex pattern; plain delimiters are not compiled into the split regex. - **token.go** (`applyChildrenDelim`): Set `DocType` and `CKType` to `"text"` on created ChunkDocs so the token-size merge path correctly identifies and merges text segments. - **parser.go**, **extractor.go**, **tokenizer.go**, **group.go**, **hierarchy.go**: Added debug-level logging for pipeline diagnostics. - **parser_dispatch_test.go**, **group_test.go**: New tests. ## Verification - All Go tests pass: `bash build.sh --test ./internal/parser/parser/...` and `bash build.sh --test ./internal/ingestion/component/...` - Build succeeds: `bash build.sh --go` |
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d279aee1ff |
Go ports of workflow and chunker fixes (#16878)
Ports two Python fixes to Go: the variable_ref_patt underscore/colon fix (#16792) and the TokenChunker upstream-chunks fix (#16825). Keeps Go behavior aligned with upstream Python. |
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d549194562 |
Implement builtin chunk method as ingestion pipeline in GO (#16822)
### Summary Implement builtin chunk mehtod as ingestion pipeline in GO |
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fb42e5531d |
Refactor: drop dead canvas runtime selector and tokenizer embedding wiring (#16809)
Two refactors on the Go port (agent-go-port): - Remove the dead per-tenant canvas runtime selector (write-only Redis scaffolding with no runtime callers) and its dependent metrics/admin code. - Move the tokenizer embedding-model id from the shared ingestion globals into a Tokenizer-scoped setup, and wire the production embedder resolver in the ingestion task package. 32 files changed, 861 insertions, 1228 deletions. |
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12787996d1 |
feat(agent): Go ingestion pipeline progress mirroring and DeepDOC parser hardening (#16795)
feat(ingestion): mirror Go pipeline progress into the document table;
harden resume guards
- pipeline: bind the owning document via WithDocumentID; after each
TrackProgress event aggregate ingestion_task_log progress and mirror
progress/run/progress_msg back into the document table, so GET
/api/v1/datasets/{dataset_id}/documents reflects live Go pipeline
progress without a bespoke endpoint.
- canvas: extend the S3 resume guard to reject legacy no-op nodes (e.g.
ExitLoop) so component_total equals the count of progress-reporting
components and the aggregate percent can reach 100%.
- runtime/canvas: route progress through TrackProgress; add interrupt
test coverage (r3_interrupt_test.go).
- dao/entity: add IngestionTask.DocumentID column and AggregateProgress
support used by the mirror; IngestionTaskLog keeps a Checkpoint column
alongside the progress fields.
feat(deepdoc): cache DocAnalyzer inference results in Redis (1h TTL)
- Redis-backed DocAnalyzerCache decorator over inference.Client; cache
key = "ddoc:cache:<method>:" + sha256 of the JPEG-encoded image bytes
(deterministic).
- TTL = 1h; hits skip the inner HTTP call and return cached JSON; inner
errors are not cached.
refactor(deepdoc): align figure cropping with Python cropout + bounded
page caches
- CropSectionByDLA mirrors Python cropout: best-overlap DLA
figure/equation region, fallback to section bbox per page, vertical
concat on gray background.
- sliding-window page-image cache bounds peak memory to the recent
window instead of the whole PDF.
- rename DLADebug -> DLARegions across parser/chunker/tests.
refactor(parser): drop lib_type selector; align NewXxxParser with
NewPDFParser
- remove config["lib_type"] lookup and the libType param/field/switch
from all nine constructors; surface the CGO-required error at
ParseWithResult time instead of construction time; drop resolveLibType,
its test, and the four lib_type constants.
feat(utility): add a reusable workerpool for bounded concurrent
execution
- internal/utility/workerpool.go (+ tests).
refactor: translate Chinese prose comments to English in non-harness Go
files.
chore: upgrade github.com/cloudwego/eino from v0.9.9 to v0.9.12.
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014c3f634f |
Align Go ingestion boundaries with Python (#16647)
Moves doc_id blob resolution into Parser, tightens chunker/tokenizer to Python output_format semantics, updates extractor list handling, and fixes real-template integration tests. |