Add versioned glossary YAML import and export
This commit is contained in:
@@ -4,6 +4,8 @@
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### Added
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- Versioned UTF-8 YAML import/export for the SQLite terminology glossary, with
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stable entry IDs, complete validation, and atomic replacement semantics.
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- First Streamlit MVP for audio upload, Meeting Context entry, participant
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management, processing progress and protocol editing.
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- Application service and Meeting Lab adapter with environment-based runtime
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@@ -57,6 +57,8 @@ Meeting Assistant owns user interaction and product workflow:
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- a global SQLite terminology glossary whose active canonical core terms and
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recognition aliases are rendered through Meeting Context into direct
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protocol prompts
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- versioned UTF-8 YAML glossary interchange (`version: 1`) that preserves entry
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IDs and atomically replaces SQLite state only after complete validation
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- export and presentation of protocol versions
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Processing logic must not be duplicated in the application.
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@@ -143,6 +143,27 @@ The database defaults to `data/database/glossary.sqlite3`. It is created and
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bootstrapped automatically and can be moved with `MKA_GLOSSARY_DATABASE`.
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Glossary integration does not rewrite raw or diarized transcript artifacts.
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Use **Export glossary** to download the complete SQLite-backed glossary as
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UTF-8 YAML, and **Import glossary** to replace it from a previously exported
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file. Imports are fully validated before a single SQLite transaction replaces
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the current glossary, so malformed or conflicting files leave existing data
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unchanged. Schema version 1 is:
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```yaml
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version: 1
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glossary:
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- id: 1
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canonical_term: Secugrid HS
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aliases:
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- Sikirgut
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category: product
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description: Canonical product spelling
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active: true
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```
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`id` is the stable SQLite glossary-entry identifier. Categories are `product`,
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`material`, `organization`, `technical_term`, `acronym`, or `other`.
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## Input configuration import and export
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Use **Export inputs** to save the current Meeting Assistant run-input form as a
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@@ -35,6 +35,18 @@ class GlossaryEntry:
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updated_at: str
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@dataclass(frozen=True)
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class GlossaryReplacementEntry:
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"""Validated values used to atomically replace the persisted glossary."""
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id: int
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canonical_term: str
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category: str
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description: str | None
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is_active: bool
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aliases: tuple[str, ...]
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class GlossaryRepository:
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"""Small data-access boundary for the local glossary database."""
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@@ -194,6 +206,64 @@ class GlossaryRepository:
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if cursor.rowcount == 0:
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raise KeyError(f"Unknown glossary entry: {entry_id}")
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def replace_all(self, entries: Iterable[GlossaryReplacementEntry]) -> None:
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"""Atomically replace every glossary entry, preserving supplied stable IDs."""
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replacements = tuple(entries)
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validated: list[GlossaryReplacementEntry] = []
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seen_ids: set[int] = set()
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seen_terms: set[str] = set()
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for entry in replacements:
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if type(entry.id) is not int or entry.id <= 0:
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raise ValueError("Glossary entry IDs must be positive integers.")
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if entry.id in seen_ids:
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raise GlossaryConflictError(f"Duplicate glossary entry ID: {entry.id}.")
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canonical, aliases = self._validate_values(
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entry.canonical_term, entry.category, entry.aliases
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)
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folded_terms = {canonical.casefold(), *(alias.casefold() for alias in aliases)}
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if seen_terms.intersection(folded_terms):
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raise GlossaryConflictError("Canonical term or alias already exists.")
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seen_ids.add(entry.id)
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seen_terms.update(folded_terms)
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validated.append(
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GlossaryReplacementEntry(
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id=entry.id,
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canonical_term=canonical,
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category=entry.category,
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description=_optional_text(entry.description),
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is_active=entry.is_active,
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aliases=aliases,
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)
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)
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now = _timestamp()
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try:
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with self._connect() as connection:
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connection.execute("DELETE FROM glossary_entries")
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connection.executemany(
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"""INSERT INTO glossary_entries
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(id, canonical_term, category, description, is_active, created_at, updated_at)
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VALUES (?, ?, ?, ?, ?, ?, ?)""",
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(
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(
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entry.id,
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entry.canonical_term,
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entry.category,
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entry.description,
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entry.is_active,
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now,
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now,
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)
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for entry in validated
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),
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)
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connection.executemany(
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"INSERT INTO glossary_aliases (entry_id, alias, created_at) VALUES (?, ?, ?)",
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((entry.id, alias, now) for entry in validated for alias in entry.aliases),
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)
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except sqlite3.IntegrityError as exc:
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raise GlossaryConflictError("Canonical term or alias already exists.") from exc
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@contextmanager
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def _connect(self) -> Iterator[sqlite3.Connection]:
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connection = sqlite3.connect(self.database_path, timeout=5)
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@@ -0,0 +1,122 @@
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"""Versioned UTF-8 YAML import and export for the terminology glossary."""
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from __future__ import annotations
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from collections.abc import Sequence
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import yaml
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from mka.application.glossary import (
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GLOSSARY_CATEGORIES,
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GlossaryEntry,
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GlossaryReplacementEntry,
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)
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GLOSSARY_YAML_VERSION = 1
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class GlossaryYamlError(ValueError):
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"""Raised when a glossary YAML document is malformed or invalid."""
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def export_glossary_yaml(entries: Sequence[GlossaryEntry]) -> str:
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"""Serialize all glossary state in a deterministic, versioned document."""
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document = {
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"version": GLOSSARY_YAML_VERSION,
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"glossary": [
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{
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"id": entry.id,
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"canonical_term": entry.canonical_term,
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"aliases": list(entry.aliases),
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"category": entry.category,
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"description": entry.description,
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"active": entry.is_active,
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}
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for entry in entries
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],
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}
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return yaml.safe_dump(document, allow_unicode=True, sort_keys=False, default_flow_style=False)
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def import_glossary_yaml(content: str | bytes) -> list[GlossaryReplacementEntry]:
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"""Parse and completely validate a glossary replacement document."""
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try:
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if isinstance(content, bytes):
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content = content.decode("utf-8")
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document = yaml.safe_load(content)
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except (yaml.YAMLError, UnicodeDecodeError) as exc:
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raise GlossaryYamlError(f"Malformed glossary YAML: {exc}") from exc
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if not isinstance(document, dict):
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raise GlossaryYamlError("Glossary YAML must contain a top-level mapping.")
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version = document.get("version")
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if type(version) is not int or version != GLOSSARY_YAML_VERSION:
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raise GlossaryYamlError(
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f"Unsupported glossary YAML version {version!r}; expected {GLOSSARY_YAML_VERSION}."
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)
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raw_entries = document.get("glossary")
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if not isinstance(raw_entries, list):
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raise GlossaryYamlError("Glossary YAML must contain a top-level 'glossary' list.")
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result: list[GlossaryReplacementEntry] = []
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seen_ids: set[int] = set()
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seen_terms: set[str] = set()
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for index, raw in enumerate(raw_entries, start=1):
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if not isinstance(raw, dict):
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raise GlossaryYamlError(f"Glossary entry {index} must be a mapping.")
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entry_id = raw.get("id")
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if type(entry_id) is not int or entry_id <= 0:
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raise GlossaryYamlError(f"Glossary entry {index} requires a positive integer id.")
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if entry_id in seen_ids:
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raise GlossaryYamlError(f"Duplicate glossary entry id: {entry_id}.")
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seen_ids.add(entry_id)
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canonical = _required_text(raw, "canonical_term", index).strip()
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category = raw.get("category")
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if category not in GLOSSARY_CATEGORIES:
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allowed = ", ".join(GLOSSARY_CATEGORIES)
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raise GlossaryYamlError(
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f"Glossary entry {index} has invalid category; expected one of: {allowed}."
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)
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aliases_value = raw.get("aliases")
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if not isinstance(aliases_value, list) or any(
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not isinstance(alias, str) or not alias.strip() for alias in aliases_value
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):
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raise GlossaryYamlError(f"Glossary entry {index} aliases must be a list of text.")
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aliases = tuple(alias.strip() for alias in aliases_value)
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folded = [canonical.casefold(), *(alias.casefold() for alias in aliases)]
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if len(folded) != len(set(folded)):
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raise GlossaryYamlError(
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f"Glossary entry {index} aliases must be unique and differ from its canonical term."
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)
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duplicate = next((term for term in folded if term in seen_terms), None)
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if duplicate is not None:
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raise GlossaryYamlError(
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f"Glossary entry {index} contains a duplicate canonical term or alias."
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)
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seen_terms.update(folded)
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description = raw.get("description")
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if description is not None and not isinstance(description, str):
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raise GlossaryYamlError(f"Glossary entry {index} description must be text or null.")
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active = raw.get("active")
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if type(active) is not bool:
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raise GlossaryYamlError(f"Glossary entry {index} active must be true or false.")
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result.append(
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GlossaryReplacementEntry(
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id=entry_id,
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canonical_term=canonical,
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aliases=aliases,
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category=category,
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description=description,
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is_active=active,
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)
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)
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return result
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def _required_text(entry: dict[object, object], field: str, index: int) -> str:
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value = entry.get(field)
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if not isinstance(value, str) or not value.strip():
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raise GlossaryYamlError(f"Glossary entry {index} requires a non-empty {field}.")
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return value
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@@ -14,6 +14,11 @@ from mka.application.glossary import (
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GlossaryConflictError,
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GlossaryRepository,
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)
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from mka.application.glossary_yaml import (
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GlossaryYamlError,
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export_glossary_yaml,
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import_glossary_yaml,
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)
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from mka.application.meeting_service import (
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STAGES,
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AppProgressEvent,
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@@ -63,6 +68,33 @@ def _render_glossary(repository: GlossaryRepository) -> None:
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"Store canonical core terms and recognition aliases. Compound phrases are "
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"composed from meeting context during protocol generation."
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)
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import_file = st.file_uploader(
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"Import glossary",
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type=["yaml", "yml"],
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key="glossary_import_file",
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help="Validate and atomically replace the SQLite glossary from versioned YAML.",
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)
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action_columns = st.columns(2)
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if action_columns[0].button("Import glossary", disabled=import_file is None):
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try:
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imported = import_glossary_yaml(import_file.getvalue())
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repository.replace_all(imported)
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except (GlossaryYamlError, GlossaryConflictError, ValueError) as exc:
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st.error(str(exc))
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else:
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st.session_state.glossary_import_message = (
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f"Imported {len(imported)} glossary entries."
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)
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st.rerun()
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action_columns[1].download_button(
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"Export glossary",
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data=export_glossary_yaml(repository.list()).encode("utf-8"),
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file_name="terminology-glossary.yaml",
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mime="application/yaml",
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)
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if message := st.session_state.pop("glossary_import_message", None):
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st.success(message)
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with st.form("glossary_add"):
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columns = st.columns(2)
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canonical = columns[0].text_input("Canonical term")
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@@ -0,0 +1,147 @@
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from pathlib import Path
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import pytest
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from mka.application.glossary import GlossaryRepository
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from mka.application.glossary_yaml import (
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GlossaryYamlError,
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export_glossary_yaml,
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import_glossary_yaml,
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)
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def repository(tmp_path: Path) -> GlossaryRepository:
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result = GlossaryRepository(tmp_path / "glossary.sqlite3")
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result.initialize()
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return result
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def test_round_trip_preserves_ids_aliases_and_active_state(tmp_path: Path) -> None:
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source = repository(tmp_path / "source")
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active = source.create(
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"Größenmaß",
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"technical_term",
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aliases=("Groessenmass", "Größen-Maß"),
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description="Canonical UTF-8 spelling",
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)
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inactive = source.create("Legacy Product", "product", is_active=False)
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encoded = export_glossary_yaml(source.list()).encode("utf-8")
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target = repository(tmp_path / "target")
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target.create("Will be replaced", "other")
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target.replace_all(import_glossary_yaml(encoded))
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entries = target.list()
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assert [entry.id for entry in entries] == [active.id, inactive.id]
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assert entries[0].canonical_term == "Größenmaß"
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assert entries[0].aliases == ("Groessenmass", "Größen-Maß")
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assert entries[0].description == "Canonical UTF-8 spelling"
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assert entries[0].is_active is True
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assert entries[1].is_active is False
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def test_malformed_yaml_does_not_replace_existing_glossary(tmp_path: Path) -> None:
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glossary = repository(tmp_path)
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existing = glossary.create("PBAT", "acronym")
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with pytest.raises(GlossaryYamlError, match="Malformed glossary YAML"):
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import_glossary_yaml(b"version: 1\nglossary: [")
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assert glossary.list() == [existing]
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@pytest.mark.parametrize(
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"entries, message",
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[
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(
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[
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{
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"id": 1,
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"canonical_term": "PBAT",
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"aliases": [],
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"category": "acronym",
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"description": None,
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"active": True,
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},
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{
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"id": 2,
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"canonical_term": "pbat",
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"aliases": [],
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"category": "material",
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"description": None,
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"active": True,
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},
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],
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"duplicate canonical term or alias",
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),
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(
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[
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{
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"id": 1,
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"canonical_term": "Secugrid",
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"aliases": ["Sikirgut", "SIKIRGUT"],
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"category": "product",
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"description": None,
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"active": True,
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},
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],
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"aliases must be unique",
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),
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(
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[
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{
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"id": 1,
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"canonical_term": "Secugrid",
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"aliases": ["PBAT"],
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"category": "product",
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"description": None,
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"active": True,
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},
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{
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"id": 2,
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"canonical_term": "PBAT",
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"aliases": [],
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"category": "acronym",
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"description": None,
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"active": False,
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},
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],
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"duplicate canonical term or alias",
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),
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],
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)
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def test_duplicate_terms_and_aliases_are_rejected(
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entries: list[dict[str, object]], message: str
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) -> None:
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import yaml
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content = yaml.safe_dump({"version": 1, "glossary": entries})
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with pytest.raises(GlossaryYamlError, match=message):
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import_glossary_yaml(content)
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def test_validation_failure_leaves_database_unchanged(tmp_path: Path) -> None:
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glossary = repository(tmp_path)
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existing = glossary.create("Existing", "other", aliases=("Existing alias",))
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invalid = b"""version: 1
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glossary:
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- id: 10
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canonical_term: Duplicate
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aliases: []
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category: other
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description: null
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active: true
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- id: 11
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canonical_term: duplicate
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aliases: []
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category: other
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description: null
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active: false
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"""
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with pytest.raises(GlossaryYamlError):
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imported = import_glossary_yaml(invalid)
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glossary.replace_all(imported)
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assert glossary.list() == [existing]
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Reference in New Issue
Block a user