feat(ebook): add phrase metadata tables for protected phrase matching

Introduce four ORM models and their Alembic migration to support
phrase-based query matching in the ebook RAG engine:

- EbookCandidatePhrase: high-recall phrase candidates extracted per book,
  with source flags (ngram/yake/spacy/capitalized/metadata), scoring, and
  LLM judge results.
- EbookProtectedPhrase: phrases accepted by the LLM judge, with canonical
  id, importance, and nesting controls.
- EbookPhraseAlias: normalized aliases mapping to protected phrases.
- EbookChunkPhraseMention: precomputed phrase occurrences within chunks.

Export the new models from python.orm.richie and add a JSON_DOCUMENT
helper (JSON with JSONB postgres variant) for storing sample contexts.
This commit is contained in:
2026-07-24 11:38:50 -04:00
parent add7a6a848
commit 9ba8200673
3 changed files with 322 additions and 2 deletions
@@ -0,0 +1,206 @@
"""adding Phrase metadata tables.
Revision ID: dddee09eddcc
Revises: 96d72c748c24
Create Date: 2026-06-29 00:49:07.344159
"""
from __future__ import annotations
from typing import TYPE_CHECKING
import sqlalchemy as sa
from alembic import op
from sqlalchemy.dialects import postgresql
from python.orm import RichieBase
if TYPE_CHECKING:
from collections.abc import Sequence
# revision identifiers, used by Alembic.
revision: str = "dddee09eddcc"
down_revision: str | None = "96d72c748c24"
branch_labels: str | Sequence[str] | None = None
depends_on: str | Sequence[str] | None = None
schema = RichieBase.schema_name
def upgrade() -> None:
"""Upgrade."""
# ### commands auto generated by Alembic - please adjust! ###
op.create_table(
"candidate_phrases",
sa.Column("book_id", sa.Integer(), nullable=False),
sa.Column("series_id", sa.Integer(), nullable=True),
sa.Column("phrase_text", sa.Text(), nullable=False),
sa.Column("phrase_norm", sa.Text(), nullable=False),
sa.Column("token_count", sa.Integer(), nullable=False),
sa.Column("source_raw_ngram", sa.Boolean(), nullable=False),
sa.Column("source_yake", sa.Boolean(), nullable=False),
sa.Column("source_spacy_ner", sa.Boolean(), nullable=False),
sa.Column("source_spacy_noun_chunk", sa.Boolean(), nullable=False),
sa.Column("source_capitalized", sa.Boolean(), nullable=False),
sa.Column("source_metadata", sa.Boolean(), nullable=False),
sa.Column("spacy_label", sa.String(), nullable=True),
sa.Column("raw_count", sa.Integer(), nullable=False),
sa.Column("chapter_count", sa.Integer(), nullable=False),
sa.Column("yake_score", sa.Float(), nullable=True),
sa.Column("candidate_score", sa.Float(), nullable=False),
sa.Column(
"sample_contexts",
sa.JSON().with_variant(postgresql.JSONB(astext_type=sa.Text()), "postgresql"),
nullable=True,
),
sa.Column("llm_judged", sa.Boolean(), nullable=False),
sa.Column("llm_keep", sa.Boolean(), nullable=True),
sa.Column("llm_confidence", sa.Float(), nullable=True),
sa.Column("llm_category", sa.String(), nullable=True),
sa.Column("llm_reason", sa.Text(), nullable=True),
sa.Column("id", sa.Integer(), nullable=False),
sa.Column("created", sa.DateTime(timezone=True), server_default=sa.text("now()"), nullable=False),
sa.Column("updated", sa.DateTime(timezone=True), server_default=sa.text("now()"), nullable=False),
sa.ForeignKeyConstraint(
["book_id"],
[f"{schema}.ebook_source.id"],
name=op.f("fk_candidate_phrases_book_id_ebook_source"),
ondelete="CASCADE",
),
sa.PrimaryKeyConstraint("id", name=op.f("pk_candidate_phrases")),
sa.UniqueConstraint("book_id", "phrase_norm", name="uq_candidate_phrases_book_id_phrase_norm"),
schema=schema,
)
op.create_index(
"candidate_phrases_book_norm_idx", "candidate_phrases", ["book_id", "phrase_norm"], unique=False, schema=schema
)
op.create_index(
"candidate_phrases_book_score_idx",
"candidate_phrases",
["book_id", "candidate_score"],
unique=False,
schema=schema,
)
op.create_table(
"protected_phrases",
sa.Column("book_id", sa.Integer(), nullable=True),
sa.Column("series_id", sa.Integer(), nullable=True),
sa.Column("phrase_text", sa.Text(), nullable=False),
sa.Column("phrase_norm", sa.Text(), nullable=False),
sa.Column("canonical_id", sa.String(), nullable=False),
sa.Column("phrase_type", sa.String(), nullable=True),
sa.Column("token_count", sa.Integer(), nullable=False),
sa.Column("confidence", sa.Float(), nullable=False),
sa.Column("importance", sa.Float(), nullable=False),
sa.Column("allow_nested", sa.Boolean(), nullable=False),
sa.Column("suppress_children", sa.Boolean(), nullable=False),
sa.Column("source_candidate_id", sa.Integer(), nullable=True),
sa.Column("id", sa.Integer(), nullable=False),
sa.Column("created", sa.DateTime(timezone=True), server_default=sa.text("now()"), nullable=False),
sa.Column("updated", sa.DateTime(timezone=True), server_default=sa.text("now()"), nullable=False),
sa.ForeignKeyConstraint(
["book_id"],
[f"{schema}.ebook_source.id"],
name=op.f("fk_protected_phrases_book_id_ebook_source"),
ondelete="CASCADE",
),
sa.ForeignKeyConstraint(
["source_candidate_id"],
[f"{schema}.candidate_phrases.id"],
name=op.f("fk_protected_phrases_source_candidate_id_candidate_phrases"),
ondelete="SET NULL",
),
sa.PrimaryKeyConstraint("id", name=op.f("pk_protected_phrases")),
sa.UniqueConstraint("book_id", "phrase_norm", name="uq_protected_phrases_book_id_phrase_norm"),
schema=schema,
)
op.create_index(
"protected_phrases_book_norm_idx", "protected_phrases", ["book_id", "phrase_norm"], unique=False, schema=schema
)
op.create_index("protected_phrases_norm_idx", "protected_phrases", ["phrase_norm"], unique=False, schema=schema)
op.create_index(
"protected_phrases_series_norm_idx",
"protected_phrases",
["series_id", "phrase_norm"],
unique=False,
schema=schema,
)
op.create_table(
"chunk_phrase_mentions",
sa.Column("chunk_id", sa.BigInteger(), nullable=False),
sa.Column("phrase_id", sa.Integer(), nullable=False),
sa.Column("book_id", sa.Integer(), nullable=True),
sa.Column("series_id", sa.Integer(), nullable=True),
sa.Column("start_char", sa.Integer(), nullable=False),
sa.Column("end_char", sa.Integer(), nullable=True),
sa.Column("id", sa.Integer(), nullable=False),
sa.Column("created", sa.DateTime(timezone=True), server_default=sa.text("now()"), nullable=False),
sa.Column("updated", sa.DateTime(timezone=True), server_default=sa.text("now()"), nullable=False),
sa.ForeignKeyConstraint(
["book_id"],
[f"{schema}.ebook_source.id"],
name=op.f("fk_chunk_phrase_mentions_book_id_ebook_source"),
ondelete="CASCADE",
),
sa.ForeignKeyConstraint(
["chunk_id"],
[f"{schema}.ebook_chunk.id"],
name=op.f("fk_chunk_phrase_mentions_chunk_id_ebook_chunk"),
ondelete="CASCADE",
),
sa.ForeignKeyConstraint(
["phrase_id"],
[f"{schema}.protected_phrases.id"],
name=op.f("fk_chunk_phrase_mentions_phrase_id_protected_phrases"),
ondelete="CASCADE",
),
sa.PrimaryKeyConstraint("id", name=op.f("pk_chunk_phrase_mentions")),
sa.UniqueConstraint("chunk_id", "phrase_id", "start_char", name="uq_chunk_phrase_mentions_chunk_phrase_start"),
schema=schema,
)
op.create_index(
"chunk_phrase_mentions_chunk_idx", "chunk_phrase_mentions", ["chunk_id"], unique=False, schema=schema
)
op.create_index(
"chunk_phrase_mentions_phrase_idx", "chunk_phrase_mentions", ["phrase_id"], unique=False, schema=schema
)
op.create_table(
"phrase_aliases",
sa.Column("phrase_id", sa.Integer(), nullable=False),
sa.Column("alias_text", sa.Text(), nullable=False),
sa.Column("alias_norm", sa.Text(), nullable=False),
sa.Column("confidence", sa.Float(), nullable=False),
sa.Column("id", sa.Integer(), nullable=False),
sa.Column("created", sa.DateTime(timezone=True), server_default=sa.text("now()"), nullable=False),
sa.Column("updated", sa.DateTime(timezone=True), server_default=sa.text("now()"), nullable=False),
sa.ForeignKeyConstraint(
["phrase_id"],
[f"{schema}.protected_phrases.id"],
name=op.f("fk_phrase_aliases_phrase_id_protected_phrases"),
ondelete="CASCADE",
),
sa.PrimaryKeyConstraint("id", name=op.f("pk_phrase_aliases")),
sa.UniqueConstraint("phrase_id", "alias_norm", name="uq_phrase_aliases_phrase_id_alias_norm"),
schema=schema,
)
op.create_index("phrase_aliases_norm_idx", "phrase_aliases", ["alias_norm"], unique=False, schema=schema)
# ### end Alembic commands ###
def downgrade() -> None:
"""Downgrade."""
# ### commands auto generated by Alembic - please adjust! ###
op.drop_index("phrase_aliases_norm_idx", table_name="phrase_aliases", schema=schema)
op.drop_table("phrase_aliases", schema=schema)
op.drop_index("chunk_phrase_mentions_phrase_idx", table_name="chunk_phrase_mentions", schema=schema)
op.drop_index("chunk_phrase_mentions_chunk_idx", table_name="chunk_phrase_mentions", schema=schema)
op.drop_table("chunk_phrase_mentions", schema=schema)
op.drop_index("protected_phrases_series_norm_idx", table_name="protected_phrases", schema=schema)
op.drop_index("protected_phrases_norm_idx", table_name="protected_phrases", schema=schema)
op.drop_index("protected_phrases_book_norm_idx", table_name="protected_phrases", schema=schema)
op.drop_table("protected_phrases", schema=schema)
op.drop_index("candidate_phrases_book_score_idx", table_name="candidate_phrases", schema=schema)
op.drop_index("candidate_phrases_book_norm_idx", table_name="candidate_phrases", schema=schema)
op.drop_table("candidate_phrases", schema=schema)
# ### end Alembic commands ###