Add versioned glossary YAML import and export

This commit is contained in:
2026-09-12 11:23:18 +02:00
parent 9840953687
commit e2a0434941
7 changed files with 396 additions and 0 deletions
+2
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@@ -4,6 +4,8 @@
### Added
- Versioned UTF-8 YAML import/export for the SQLite terminology glossary, with
stable entry IDs, complete validation, and atomic replacement semantics.
- First Streamlit MVP for audio upload, Meeting Context entry, participant
management, processing progress and protocol editing.
- Application service and Meeting Lab adapter with environment-based runtime
+2
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@@ -57,6 +57,8 @@ Meeting Assistant owns user interaction and product workflow:
- a global SQLite terminology glossary whose active canonical core terms and
recognition aliases are rendered through Meeting Context into direct
protocol prompts
- versioned UTF-8 YAML glossary interchange (`version: 1`) that preserves entry
IDs and atomically replaces SQLite state only after complete validation
- export and presentation of protocol versions
Processing logic must not be duplicated in the application.
+21
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@@ -143,6 +143,27 @@ The database defaults to `data/database/glossary.sqlite3`. It is created and
bootstrapped automatically and can be moved with `MKA_GLOSSARY_DATABASE`.
Glossary integration does not rewrite raw or diarized transcript artifacts.
Use **Export glossary** to download the complete SQLite-backed glossary as
UTF-8 YAML, and **Import glossary** to replace it from a previously exported
file. Imports are fully validated before a single SQLite transaction replaces
the current glossary, so malformed or conflicting files leave existing data
unchanged. Schema version 1 is:
```yaml
version: 1
glossary:
- id: 1
canonical_term: Secugrid HS
aliases:
- Sikirgut
category: product
description: Canonical product spelling
active: true
```
`id` is the stable SQLite glossary-entry identifier. Categories are `product`,
`material`, `organization`, `technical_term`, `acronym`, or `other`.
## Input configuration import and export
Use **Export inputs** to save the current Meeting Assistant run-input form as a
+70
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@@ -35,6 +35,18 @@ class GlossaryEntry:
updated_at: str
@dataclass(frozen=True)
class GlossaryReplacementEntry:
"""Validated values used to atomically replace the persisted glossary."""
id: int
canonical_term: str
category: str
description: str | None
is_active: bool
aliases: tuple[str, ...]
class GlossaryRepository:
"""Small data-access boundary for the local glossary database."""
@@ -194,6 +206,64 @@ class GlossaryRepository:
if cursor.rowcount == 0:
raise KeyError(f"Unknown glossary entry: {entry_id}")
def replace_all(self, entries: Iterable[GlossaryReplacementEntry]) -> None:
"""Atomically replace every glossary entry, preserving supplied stable IDs."""
replacements = tuple(entries)
validated: list[GlossaryReplacementEntry] = []
seen_ids: set[int] = set()
seen_terms: set[str] = set()
for entry in replacements:
if type(entry.id) is not int or entry.id <= 0:
raise ValueError("Glossary entry IDs must be positive integers.")
if entry.id in seen_ids:
raise GlossaryConflictError(f"Duplicate glossary entry ID: {entry.id}.")
canonical, aliases = self._validate_values(
entry.canonical_term, entry.category, entry.aliases
)
folded_terms = {canonical.casefold(), *(alias.casefold() for alias in aliases)}
if seen_terms.intersection(folded_terms):
raise GlossaryConflictError("Canonical term or alias already exists.")
seen_ids.add(entry.id)
seen_terms.update(folded_terms)
validated.append(
GlossaryReplacementEntry(
id=entry.id,
canonical_term=canonical,
category=entry.category,
description=_optional_text(entry.description),
is_active=entry.is_active,
aliases=aliases,
)
)
now = _timestamp()
try:
with self._connect() as connection:
connection.execute("DELETE FROM glossary_entries")
connection.executemany(
"""INSERT INTO glossary_entries
(id, canonical_term, category, description, is_active, created_at, updated_at)
VALUES (?, ?, ?, ?, ?, ?, ?)""",
(
(
entry.id,
entry.canonical_term,
entry.category,
entry.description,
entry.is_active,
now,
now,
)
for entry in validated
),
)
connection.executemany(
"INSERT INTO glossary_aliases (entry_id, alias, created_at) VALUES (?, ?, ?)",
((entry.id, alias, now) for entry in validated for alias in entry.aliases),
)
except sqlite3.IntegrityError as exc:
raise GlossaryConflictError("Canonical term or alias already exists.") from exc
@contextmanager
def _connect(self) -> Iterator[sqlite3.Connection]:
connection = sqlite3.connect(self.database_path, timeout=5)
+122
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@@ -0,0 +1,122 @@
"""Versioned UTF-8 YAML import and export for the terminology glossary."""
from __future__ import annotations
from collections.abc import Sequence
import yaml
from mka.application.glossary import (
GLOSSARY_CATEGORIES,
GlossaryEntry,
GlossaryReplacementEntry,
)
GLOSSARY_YAML_VERSION = 1
class GlossaryYamlError(ValueError):
"""Raised when a glossary YAML document is malformed or invalid."""
def export_glossary_yaml(entries: Sequence[GlossaryEntry]) -> str:
"""Serialize all glossary state in a deterministic, versioned document."""
document = {
"version": GLOSSARY_YAML_VERSION,
"glossary": [
{
"id": entry.id,
"canonical_term": entry.canonical_term,
"aliases": list(entry.aliases),
"category": entry.category,
"description": entry.description,
"active": entry.is_active,
}
for entry in entries
],
}
return yaml.safe_dump(document, allow_unicode=True, sort_keys=False, default_flow_style=False)
def import_glossary_yaml(content: str | bytes) -> list[GlossaryReplacementEntry]:
"""Parse and completely validate a glossary replacement document."""
try:
if isinstance(content, bytes):
content = content.decode("utf-8")
document = yaml.safe_load(content)
except (yaml.YAMLError, UnicodeDecodeError) as exc:
raise GlossaryYamlError(f"Malformed glossary YAML: {exc}") from exc
if not isinstance(document, dict):
raise GlossaryYamlError("Glossary YAML must contain a top-level mapping.")
version = document.get("version")
if type(version) is not int or version != GLOSSARY_YAML_VERSION:
raise GlossaryYamlError(
f"Unsupported glossary YAML version {version!r}; expected {GLOSSARY_YAML_VERSION}."
)
raw_entries = document.get("glossary")
if not isinstance(raw_entries, list):
raise GlossaryYamlError("Glossary YAML must contain a top-level 'glossary' list.")
result: list[GlossaryReplacementEntry] = []
seen_ids: set[int] = set()
seen_terms: set[str] = set()
for index, raw in enumerate(raw_entries, start=1):
if not isinstance(raw, dict):
raise GlossaryYamlError(f"Glossary entry {index} must be a mapping.")
entry_id = raw.get("id")
if type(entry_id) is not int or entry_id <= 0:
raise GlossaryYamlError(f"Glossary entry {index} requires a positive integer id.")
if entry_id in seen_ids:
raise GlossaryYamlError(f"Duplicate glossary entry id: {entry_id}.")
seen_ids.add(entry_id)
canonical = _required_text(raw, "canonical_term", index).strip()
category = raw.get("category")
if category not in GLOSSARY_CATEGORIES:
allowed = ", ".join(GLOSSARY_CATEGORIES)
raise GlossaryYamlError(
f"Glossary entry {index} has invalid category; expected one of: {allowed}."
)
aliases_value = raw.get("aliases")
if not isinstance(aliases_value, list) or any(
not isinstance(alias, str) or not alias.strip() for alias in aliases_value
):
raise GlossaryYamlError(f"Glossary entry {index} aliases must be a list of text.")
aliases = tuple(alias.strip() for alias in aliases_value)
folded = [canonical.casefold(), *(alias.casefold() for alias in aliases)]
if len(folded) != len(set(folded)):
raise GlossaryYamlError(
f"Glossary entry {index} aliases must be unique and differ from its canonical term."
)
duplicate = next((term for term in folded if term in seen_terms), None)
if duplicate is not None:
raise GlossaryYamlError(
f"Glossary entry {index} contains a duplicate canonical term or alias."
)
seen_terms.update(folded)
description = raw.get("description")
if description is not None and not isinstance(description, str):
raise GlossaryYamlError(f"Glossary entry {index} description must be text or null.")
active = raw.get("active")
if type(active) is not bool:
raise GlossaryYamlError(f"Glossary entry {index} active must be true or false.")
result.append(
GlossaryReplacementEntry(
id=entry_id,
canonical_term=canonical,
aliases=aliases,
category=category,
description=description,
is_active=active,
)
)
return result
def _required_text(entry: dict[object, object], field: str, index: int) -> str:
value = entry.get(field)
if not isinstance(value, str) or not value.strip():
raise GlossaryYamlError(f"Glossary entry {index} requires a non-empty {field}.")
return value
+32
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@@ -14,6 +14,11 @@ from mka.application.glossary import (
GlossaryConflictError,
GlossaryRepository,
)
from mka.application.glossary_yaml import (
GlossaryYamlError,
export_glossary_yaml,
import_glossary_yaml,
)
from mka.application.meeting_service import (
STAGES,
AppProgressEvent,
@@ -63,6 +68,33 @@ def _render_glossary(repository: GlossaryRepository) -> None:
"Store canonical core terms and recognition aliases. Compound phrases are "
"composed from meeting context during protocol generation."
)
import_file = st.file_uploader(
"Import glossary",
type=["yaml", "yml"],
key="glossary_import_file",
help="Validate and atomically replace the SQLite glossary from versioned YAML.",
)
action_columns = st.columns(2)
if action_columns[0].button("Import glossary", disabled=import_file is None):
try:
imported = import_glossary_yaml(import_file.getvalue())
repository.replace_all(imported)
except (GlossaryYamlError, GlossaryConflictError, ValueError) as exc:
st.error(str(exc))
else:
st.session_state.glossary_import_message = (
f"Imported {len(imported)} glossary entries."
)
st.rerun()
action_columns[1].download_button(
"Export glossary",
data=export_glossary_yaml(repository.list()).encode("utf-8"),
file_name="terminology-glossary.yaml",
mime="application/yaml",
)
if message := st.session_state.pop("glossary_import_message", None):
st.success(message)
with st.form("glossary_add"):
columns = st.columns(2)
canonical = columns[0].text_input("Canonical term")
+147
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@@ -0,0 +1,147 @@
from pathlib import Path
import pytest
from mka.application.glossary import GlossaryRepository
from mka.application.glossary_yaml import (
GlossaryYamlError,
export_glossary_yaml,
import_glossary_yaml,
)
def repository(tmp_path: Path) -> GlossaryRepository:
result = GlossaryRepository(tmp_path / "glossary.sqlite3")
result.initialize()
return result
def test_round_trip_preserves_ids_aliases_and_active_state(tmp_path: Path) -> None:
source = repository(tmp_path / "source")
active = source.create(
"Größenmaß",
"technical_term",
aliases=("Groessenmass", "Größen-Maß"),
description="Canonical UTF-8 spelling",
)
inactive = source.create("Legacy Product", "product", is_active=False)
encoded = export_glossary_yaml(source.list()).encode("utf-8")
target = repository(tmp_path / "target")
target.create("Will be replaced", "other")
target.replace_all(import_glossary_yaml(encoded))
entries = target.list()
assert [entry.id for entry in entries] == [active.id, inactive.id]
assert entries[0].canonical_term == "Größenmaß"
assert entries[0].aliases == ("Groessenmass", "Größen-Maß")
assert entries[0].description == "Canonical UTF-8 spelling"
assert entries[0].is_active is True
assert entries[1].is_active is False
def test_malformed_yaml_does_not_replace_existing_glossary(tmp_path: Path) -> None:
glossary = repository(tmp_path)
existing = glossary.create("PBAT", "acronym")
with pytest.raises(GlossaryYamlError, match="Malformed glossary YAML"):
import_glossary_yaml(b"version: 1\nglossary: [")
assert glossary.list() == [existing]
@pytest.mark.parametrize(
"entries, message",
[
(
[
{
"id": 1,
"canonical_term": "PBAT",
"aliases": [],
"category": "acronym",
"description": None,
"active": True,
},
{
"id": 2,
"canonical_term": "pbat",
"aliases": [],
"category": "material",
"description": None,
"active": True,
},
],
"duplicate canonical term or alias",
),
(
[
{
"id": 1,
"canonical_term": "Secugrid",
"aliases": ["Sikirgut", "SIKIRGUT"],
"category": "product",
"description": None,
"active": True,
},
],
"aliases must be unique",
),
(
[
{
"id": 1,
"canonical_term": "Secugrid",
"aliases": ["PBAT"],
"category": "product",
"description": None,
"active": True,
},
{
"id": 2,
"canonical_term": "PBAT",
"aliases": [],
"category": "acronym",
"description": None,
"active": False,
},
],
"duplicate canonical term or alias",
),
],
)
def test_duplicate_terms_and_aliases_are_rejected(
entries: list[dict[str, object]], message: str
) -> None:
import yaml
content = yaml.safe_dump({"version": 1, "glossary": entries})
with pytest.raises(GlossaryYamlError, match=message):
import_glossary_yaml(content)
def test_validation_failure_leaves_database_unchanged(tmp_path: Path) -> None:
glossary = repository(tmp_path)
existing = glossary.create("Existing", "other", aliases=("Existing alias",))
invalid = b"""version: 1
glossary:
- id: 10
canonical_term: Duplicate
aliases: []
category: other
description: null
active: true
- id: 11
canonical_term: duplicate
aliases: []
category: other
description: null
active: false
"""
with pytest.raises(GlossaryYamlError):
imported = import_glossary_yaml(invalid)
glossary.replace_all(imported)
assert glossary.list() == [existing]