## Summary
Align the Go ingestion pipeline with Python's `image` → `img_id`
persistence semantics, and unify the chunk-id computation across all
paths.
### Changes
**1. Image upload at chunker stage **
- Add `ImageUploader` type and `DefaultImageUploader` in
`internal/ingestion/component/image_uploader.go` — the write-side
counterpart to `FetchBinary`, storing raw image bytes at `(bucket=kbID,
key=chunkID)`, no re-encoding.
- Add `uploadOneImage` — pure upload primitive (bytes in, `img_id` out),
does not touch chunk maps.
- Add `uploadChunkImages` / `uploadChunkImage` — caller-side helper:
decodes `image` from a chunk, uploads bytes, writes `ck["img_id"]`,
`delete(ck,"image")` , bounded by a process-wide semaphore (default 10,
env `MAX_CONCURRENT_MINIO`).
- Wire via `imageUploadDecorator` in `register.go`: every chunker runs
the upload pass at invocation time, writing `ck["id"]` before upload and
dropping image bytes right after — peak memory = single chunk image
lifetime.
**2. Unify chunk-id computation**
- Consolidate three separate id-computation paths (`component.ChunkID`,
`task.ChunkID`, inline `FormatUint` in API) into one:
`common.ChunkID(docID, text string)`, using `%016x` +
`xxhash.Sum64String(text+docID)` (matching Python `hexdigest()`).
- The chunker decorator writes `ck["id"]` via `common.ChunkID`; the
persist stage (`ProcessChunksForPipeline`) falls back to the same
function (`if !exists id`).
- The API AddChunk path now also calls `common.ChunkID` instead of the
divergent `FormatUint(xxhash.Sum64(...))` — fixing a pre-existing
inconsistency.
- Delete `internal/ingestion/component/chunk_id.go` and
`internal/ingestion/task/chunk_builder.go` (both were pure forwarding
shells).
**3. Preserve `img_id` (never deleted)**
- `img_id` is a persistent index field (Infinity, OB) and the only
consumer-side reference for image retrieval; it is NEVER removed from
the chunk map. Only `image` (raw data URL) is dropped after upload.
**4. PPT parser support**
Previously PPT parsing failed. Add support to parse.
### Key design decisions
| Decision | Choice |
|----------|--------|
| Upload timing | Chunker stage (not persist), so image bytes are
dropped immediately — bounds peak memory to one chunk image |
| Upload concurrency | Process-wide semaphore, default 10 (matches
Python `minio_limiter`), env `MAX_CONCURRENT_MINIO` |
| Image encoding | Store as-is, no JPEG re-encoding (unlike Python) |
| `img_id` format | `"<kb_id>-<chunk_id>"` — matches Python
task_executor path |
| id function | Single `common.ChunkID(docID, text)`, concatenation
`text+docID` inside hash (matching Python) |
| `removeInternalChunkFields` | Retains `delete(ck,"image")` as
defensive fallback for non-chunker paths |
### Files touched
| File | Change |
|------|--------|
| `internal/common/format.go` | Add `ChunkID(docID, text)` |
| `internal/common/format_test.go` | Add ChunkID golden-value test |
| `internal/ingestion/component/image_uploader.go` | Add `ImageUploader`
type + `DefaultImageUploader` |
| `internal/ingestion/component/chunker/image_upload.go` | Add
`uploadOneImage`, `uploadChunkImages`, `uploadChunkImage`,
`decodeChunkImage`, semaphore |
| `internal/ingestion/component/chunker/image_upload_test.go` | Tests:
upload/drop, skip, no-image, concurrency, missing-id error |
| `internal/ingestion/component/chunker/register.go` | Add
`imageUploadDecorator` (writes `ck["id"]`, runs upload) |
| `internal/ingestion/task/chunk_process.go` | Use `common.ChunkID` for
persist fallback |
| `internal/service/chunk/chunk.go` | Use `common.ChunkID` instead of
`FormatUint` |
| `internal/ingestion/component/chunk_id.go` | **Deleted** (moved to
`common`) |
| `internal/ingestion/task/chunk_builder.go` | **Deleted** (shell, no
callers left) |
| `internal/ingestion/task/chunk_builder_test.go` | **Deleted** (test
migrated to `common/format_test.go`) |
### Verification
```
bash build.sh --test ./internal/service/chunk/... ./internal/common/... ./internal/ingestion/component/... ./internal/ingestion/task/...
→ ok service/chunk / common / component / chunker / schema / task
```
## Summary
`Pipeline.Run` already accepts an `override_params` map (keyed by
`cpnID`, override-wins) that is merged into each component's params at
compile time via `canvas.WithOverrideParams`. `PatchDSL` performed a
byte-for-byte equivalent merge by baking `ParserConfig` into the DSL
text before compilation, so `runPipelineWithDSL` applied the same
`Doc.ParserConfig` twice with no effect.
## Change
- Delete the now-dead `PatchDSL` function
(`internal/ingestion/pipeline/pipeline.go`); it had a single call site.
- In `runPipelineWithDSL`, compile the DSL unchanged and pass the
extracted component params to `Run` as `override_params`.
## Behavioral note (important)
Previously `PatchDSL` was also the channel that delivered the tenant LLM
id into Extractor components: it baked `parserConfig` — after
`common.InjectExtractorLLMID(parserConfig, Tenant.LLMID)` had injected
`llm_id` — into the DSL. The old `Run` override_params re-cast
`Doc.ParserConfig` (which intentionally omits `llm_id`). So removing
`PatchDSL` while keeping that re-cast would have silently dropped LLM id
injection. This change passes the local `parserConfig` (the
LLMID-injected copy) to `Run`, preserving the prior behavior.
The DSL string returned by `runPipelineWithDSL` is only consumed by
`recordPipelineLog` (structure storage) and `ExtractPayload` (which
reads the terminal structure, not params), so returning the original DSL
is equivalent.
## Test plan
- `bash build.sh --test ./internal/ingestion/task/...
./internal/ingestion/pipeline/...` — both packages pass.
- `gofmt` clean; pre-commit hooks pass.
Co-authored-by: Claude <noreply@anthropic.com>
### Summary
1. list and get by id API for builtin DSL
2. add DSL default component param values validation
3. remove all hard code keys for parser config
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.
