Implement integer source units and chunk payloads

This commit is contained in:
2026-07-07 18:34:23 +00:00
parent 4f057b99ac
commit 9e3f8809b3
45 changed files with 618 additions and 451 deletions

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@@ -44,8 +44,8 @@ Approved artifacts use the generic artifact envelope documented in
"source_refs": [
{
"source_id": "session-alpha",
"start_unit_id": "seg-001",
"end_unit_id": "seg-001"
"start_unit_id": 1,
"end_unit_id": 1
}
]
}
@@ -78,7 +78,7 @@ Each source reference uses the generic source-reference shape:
Validation requires:
- at least one source reference;
- non-empty source ID and unit IDs;
- non-empty source ID and positive unit IDs;
- source ID matching the source document ID;
- start and end unit IDs existing in the source document;
- start unit appearing before or at the same position as end unit.
@@ -98,8 +98,8 @@ The extractor asks the LLM for this top-level response shape:
"source_refs": [
{
"source_id": "session-alpha",
"start_unit_id": "seg-001",
"end_unit_id": "seg-001"
"start_unit_id": 1,
"end_unit_id": 1
}
]
}

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@@ -156,8 +156,8 @@ Each artifact file has this shape:
"source_refs": [
{
"source_id": "session-alpha",
"start_unit_id": "seg-001",
"end_unit_id": "seg-001"
"start_unit_id": 1,
"end_unit_id": 1
}
]
}

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@@ -28,7 +28,7 @@ output that provides the same required segment fields.
},
"segments": [
{
"id": "seg-001",
"id": 1,
"start": 0,
"end": 4,
"speaker": "Aria",
@@ -56,10 +56,9 @@ The adapter rejects:
- missing, null, or non-object `metadata`;
- missing, null, non-array, or empty `segments`;
- segment values that are not objects;
- segment `id` values that are neither strings nor numbers;
- segment `id` values that are not positive integer JSON numbers or numeric
strings;
- non-string `speaker` or `text`;
- empty segment IDs;
- segment IDs with leading or trailing whitespace;
- duplicate segment IDs;
- missing or empty `speaker`;
- missing, empty, invalid, non-finite, or negative `start`;
@@ -87,8 +86,7 @@ The adapter maps input to `SourceDocument`:
Each segment becomes one `SourceUnit`:
- `segment.id` becomes `SourceUnit.ID`; numeric IDs are converted to their JSON
number text, so `1` becomes `"1"`;
- `segment.id` becomes integer `SourceUnit.ID`;
- `segment.text` becomes `SourceUnit.Text`;
- `SourceUnit.Kind` is `transcript_segment`;
- `speaker`, `start`, and `end` are stored in source-unit metadata.

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@@ -84,9 +84,10 @@ The `generic` chunker splits source units into ordered chunks. It validates the
source document, clones source units, assigns chunk IDs such as `chunk-000001`,
and records chunk metadata for start unit, end unit, and unit count.
The pipeline runner canonicalizes chunk units from the source document by ID
before extractors and mergers run. Chunker-owned context should stay in
`SourceChunk.Metadata`.
The pipeline runner canonicalizes chunk units from the source document by
integer ID before extractors and mergers run. Chunkers also populate chunk
start and end unit IDs, content bytes, and media type. Chunker-owned context
should stay in `SourceChunk.Metadata`.
Options:
@@ -126,12 +127,11 @@ Options: none. Non-empty options are rejected.
The chunker enforces full source-unit coverage from the first source unit to the
last, sequential contiguous scenes, and no overlap. Its LLM-facing schema uses
integer `start_unit_id` and `end_unit_id` values as 1-based source-unit numbers;
the module canonicalizes valid integer references to source-unit IDs before
producing chunks. It assigns chunk IDs such as `scene-000001` and stores scene
metadata including title, primary mode, participants, summary, boundary note,
confidence, boundary unit IDs, and unit count. Boundary caveats become warnings
with reason code
integer `start_unit_id` and `end_unit_id` values matching source-unit IDs. It
assigns chunk IDs such as `scene-000001`, emits JSON chunk content, and stores
scene metadata including title, primary mode, participants, summary, boundary
note, confidence, boundary unit IDs, and unit count. Boundary caveats become
warnings with reason code
`scene_boundary_caveat`. Whitespace-only caveats are treated as malformed
structured output rather than silently dropped.
@@ -150,8 +150,7 @@ input materials, response schema, and session ID to the runtime; converts
spell-cast responses into artifact candidates; and supplies deterministic
validators.
Its LLM-facing source-reference schema uses integer `start_unit_id` and
`end_unit_id` values as 1-based source-unit numbers; the module canonicalizes
valid integer references to source-unit IDs before validation and output.
`end_unit_id` values matching source-unit IDs.
Its prompt definition lives under `assets/prompts` and its schema under
`assets/schemas`. Shared reusable D&D prompt fragments are provided by

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@@ -136,15 +136,19 @@ invariants before running extractors:
- chunk IDs must be non-empty and unique in the chunk result;
- each chunk `SourceID` must match the source document ID;
- each chunk `Index` must match its zero-based returned order;
- each chunk start and end unit ID must exist in the source document, with the
start unit at or before the end unit;
- each chunk must include non-empty extraction content and media type;
- each chunk must contain at least one source unit;
- a chunk must not repeat a source unit;
- every chunk source unit must exist in the source document;
- source units inside each chunk must appear in source-document order.
After validation, the runner rebuilds each chunk from source-document units by
ID, preserving the chunk boundary order and cloning chunk metadata. Extractors
and downstream stages therefore see canonical source units, while
`SourceChunk.Metadata` remains the supported place for chunker-owned context.
integer ID, preserving chunk boundaries, content bytes, media type, and cloned
chunk metadata. Extractors and downstream stages therefore see canonical source
units, while `SourceChunk.Metadata` remains the supported place for
chunker-owned context.
The framework does not require complete source-unit coverage and does not reject
overlap between different chunks. Stricter policies, such as full coverage or