remove redundant serialization

This commit is contained in:
bryan davis 2026-06-23 15:55:24 -05:00 committed by Yiorgis Gozadinos
parent e73a4272f8
commit e95ac2e25d
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3 changed files with 59 additions and 4 deletions

View file

@ -35,7 +35,20 @@ def decompress_json(data: bytes) -> str:
def compress_docling_split(json_str: str) -> tuple[bytes, bytes | None]:
"""Split a DoclingDocument JSON into structure and pages, compress both with zstd.
"""Parse a DoclingDocument JSON string and compress it.
Thin wrapper over :func:`compress_docling_data` for callers that only hold
the serialized string store migrations and rebuild-from-blob, neither of
which is speed-sensitive. The ingestion hot path should call
``compress_docling_data`` with ``DoclingDocument.model_dump(mode="json")``
instead, to avoid serializing the document to a full JSON string only to
parse it straight back into a dict.
"""
return compress_docling_data(json.loads(json_str))
def compress_docling_data(data: dict) -> tuple[bytes, bytes | None]:
"""Split a DoclingDocument dict into structure and pages, compress both with zstd.
Picture image URIs are stripped from the structure blob they are stored on
the corresponding ``document_items.picture_data`` rows and don't need to be
@ -43,11 +56,14 @@ def compress_docling_split(json_str: str) -> tuple[bytes, bytes | None]:
field is present, so each picture's ``image`` is set to ``None`` rather than
partially mutated to keep the JSON re-validating cleanly.
Mutates ``data`` in place (pops ``pages``, nulls picture images); callers
pass a freshly built dict (``model_dump`` / ``json.loads`` output), so this
never touches a live DoclingDocument.
Returns:
Tuple of (structure_bytes, pages_bytes). pages_bytes is None if the
document has no page images.
"""
data = json.loads(json_str)
pages = data.pop("pages", None)
for picture in data.get("pictures") or []:

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@ -4,7 +4,7 @@ from typing import TYPE_CHECKING
from pydantic import BaseModel, Field
from haiku.rag.store.compression import compress_docling_split, decompress_json
from haiku.rag.store.compression import compress_docling_data, decompress_json
if TYPE_CHECKING:
from docling_core.types.doc.document import DoclingDocument, PageItem
@ -32,7 +32,7 @@ class Document(BaseModel):
Sets docling_document (zstd-compressed structure without pages),
docling_pages (zstd-compressed page images), and docling_version.
"""
structure, pages = compress_docling_split(docling_doc.model_dump_json())
structure, pages = compress_docling_data(docling_doc.model_dump(mode="json"))
self.docling_document = structure
self.docling_pages = pages
self.docling_version = docling_doc.version

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@ -281,6 +281,45 @@ def test_set_docling_with_page_images():
assert "1" in pages
def test_set_docling_dict_path_matches_string_path():
"""The ingestion dict path must produce the same stored bytes as the
legacy string path.
``set_docling`` feeds ``compress_docling_data`` the dict from
``model_dump(mode="json")`` instead of round-tripping through
``model_dump_json()`` + ``json.loads``. The on-disk format must not change
in particular int-keyed ``pages`` must still serialize to string keys.
"""
import json
from docling_core.types.doc.base import Size
from docling_core.types.doc.document import DoclingDocument, PageItem
from docling_core.types.doc.labels import DocItemLabel
from haiku.rag.store.compression import (
compress_docling_data,
compress_docling_split,
decompress_json,
)
docling_doc = DoclingDocument(name="equivalence_test")
docling_doc.add_text(label=DocItemLabel.PARAGRAPH, text="Hello world")
docling_doc.pages[1] = PageItem(size=Size(width=612, height=792), page_no=1)
struct_dict, pages_dict = compress_docling_data(
docling_doc.model_dump(mode="json")
)
struct_str, pages_str = compress_docling_split(docling_doc.model_dump_json())
assert json.loads(decompress_json(struct_dict)) == json.loads(
decompress_json(struct_str)
)
assert pages_dict is not None and pages_str is not None
assert json.loads(decompress_json(pages_dict)) == json.loads(
decompress_json(pages_str)
)
def test_get_page_images():
"""get_page_images returns requested pages from docling_pages blob."""
import json