255 lines
8.4 KiB
Python
255 lines
8.4 KiB
Python
from __future__ import annotations
|
|
|
|
import json
|
|
from datetime import UTC, datetime
|
|
from pathlib import Path
|
|
from types import SimpleNamespace
|
|
|
|
from typer.testing import CliRunner
|
|
|
|
from tht.cli import app
|
|
from tht.memory import MemoryRecord, save_registry
|
|
|
|
|
|
class _FakeEmbedder:
|
|
def embed_documents(self, documents):
|
|
return [[0.1] * 4 for _ in documents]
|
|
|
|
|
|
class _FakeVectorStore:
|
|
def __init__(self):
|
|
self.upserts = []
|
|
self.deleted = []
|
|
|
|
def existing_hashes(self, collection, kinds):
|
|
return {}
|
|
|
|
def upsert(self, collection, records):
|
|
self.upserts.append((collection, records))
|
|
return len(records)
|
|
|
|
def delete_kinds(self, collection, kinds):
|
|
self.deleted.append((collection, list(kinds)))
|
|
return 3
|
|
|
|
|
|
def _qdrant_runtime_config(tmp_path: Path) -> Path:
|
|
cfg = tmp_path / "workspace.yaml"
|
|
cfg.write_text(
|
|
f"""
|
|
runtime_identity:
|
|
workspace_id: psd-clinical
|
|
workspace_revision: {'a' * 40}
|
|
dwh:
|
|
type: postgres_direct
|
|
connection: {{database: analytics, schema: mart, user: reader, password: secret}}
|
|
vectors:
|
|
type: qdrant
|
|
base_url: http://qdrant:6333
|
|
collection: psd-clinical
|
|
roots:
|
|
sessions: {tmp_path / 'sessions'}
|
|
artifacts: {tmp_path / 'artifacts'}
|
|
indexes: {tmp_path / 'indexes'}
|
|
embeddings:
|
|
provider: ollama_internal
|
|
base_url: http://embedding:11434
|
|
model: qwen3-embedding:0.6b
|
|
dim: 1024
|
|
"""
|
|
)
|
|
return cfg
|
|
|
|
|
|
def _write_schema_artifacts(tmp_path: Path) -> None:
|
|
(tmp_path / "artifacts" / "mschema").mkdir(parents=True, exist_ok=True)
|
|
(tmp_path / "artifacts" / "mschema" / "physical.yaml").write_text(
|
|
"""
|
|
database: analytics
|
|
schema: mart
|
|
introspected_at: 2026-01-01T00:00:00+00:00
|
|
tables:
|
|
fact_patient:
|
|
comment: Patients
|
|
columns:
|
|
id:
|
|
type: bigint
|
|
"""
|
|
)
|
|
(tmp_path / "artifacts" / "mschema" / "annotations.yaml").write_text(
|
|
"tables: {}\n"
|
|
)
|
|
|
|
|
|
def _memory_record() -> MemoryRecord:
|
|
return MemoryRecord(
|
|
id="mem-0001",
|
|
ts=datetime(2026, 1, 1, tzinfo=UTC),
|
|
session_id="s1",
|
|
decision_seq=7,
|
|
type="concept_clarified",
|
|
subject="paziente attivo",
|
|
detail="flag_attivo = TRUE",
|
|
rationale="r",
|
|
question_context="dammi i pazienti attivi",
|
|
tables=[],
|
|
concepts=["paziente attivo"],
|
|
)
|
|
|
|
|
|
def test_vector_index_schema_accepts_qdrant_only_runtime_config(tmp_path, monkeypatch):
|
|
cfg = _qdrant_runtime_config(tmp_path)
|
|
_write_schema_artifacts(tmp_path)
|
|
store = _FakeVectorStore()
|
|
|
|
monkeypatch.setattr("tht.adapters.factory.build_vector_store", lambda cfg, require_write: store)
|
|
monkeypatch.setattr("tht.cli.vector_cmd.make_embedder", lambda _: _FakeEmbedder())
|
|
|
|
res = CliRunner().invoke(app, ["vector", "index-schema", "-c", str(cfg)])
|
|
|
|
assert res.exit_code == 0, res.output
|
|
assert store.upserts
|
|
|
|
|
|
def test_memory_promote_accepts_qdrant_only_runtime_config(tmp_path, monkeypatch):
|
|
cfg = _qdrant_runtime_config(tmp_path)
|
|
store = _FakeVectorStore()
|
|
promoted = [_memory_record()]
|
|
snapshot = SimpleNamespace(manifest=SimpleNamespace(id="s1"))
|
|
|
|
monkeypatch.setattr("tht.cli.memory_cmd.load_snapshot_or_exit", lambda cfg, session: snapshot)
|
|
monkeypatch.setattr("tht.memory.promote_snapshot", lambda *args, **kwargs: promoted)
|
|
monkeypatch.setattr("tht.memory.load_registry", lambda path: promoted)
|
|
monkeypatch.setattr("tht.adapters.factory.build_vector_store", lambda cfg, require_write: store)
|
|
monkeypatch.setattr("tht.cli.vector_cmd.make_embedder", lambda _: _FakeEmbedder())
|
|
|
|
res = CliRunner().invoke(
|
|
app,
|
|
["memory", "promote", "--session", "s1", "--decision", "7", "--json", "-c", str(cfg)],
|
|
)
|
|
|
|
assert res.exit_code == 0, res.output
|
|
assert json.loads(res.stdout)["indexed"] is True
|
|
assert store.upserts
|
|
|
|
|
|
def test_memory_index_accepts_qdrant_only_runtime_config(tmp_path, monkeypatch):
|
|
cfg = _qdrant_runtime_config(tmp_path)
|
|
store = _FakeVectorStore()
|
|
records = [_memory_record()]
|
|
|
|
save_registry(records, tmp_path / "artifacts" / "memory" / "registry.jsonl")
|
|
monkeypatch.setattr("tht.adapters.factory.build_vector_store", lambda cfg, require_write: store)
|
|
monkeypatch.setattr("tht.cli.vector_cmd.make_embedder", lambda _: _FakeEmbedder())
|
|
|
|
res = CliRunner().invoke(app, ["memory", "index", "-c", str(cfg)])
|
|
|
|
assert res.exit_code == 0, res.output
|
|
assert "OK:" in res.output
|
|
assert store.upserts
|
|
|
|
|
|
def test_memory_clear_accepts_qdrant_only_runtime_config(tmp_path, monkeypatch):
|
|
cfg = _qdrant_runtime_config(tmp_path)
|
|
store = _FakeVectorStore()
|
|
records = [_memory_record()]
|
|
registry = tmp_path / "artifacts" / "memory" / "registry.jsonl"
|
|
save_registry(records, registry)
|
|
|
|
monkeypatch.setattr("tht.adapters.factory.build_vector_store", lambda cfg, require_write: store)
|
|
|
|
res = CliRunner().invoke(app, ["memory", "clear", "--yes", "-c", str(cfg)])
|
|
|
|
assert res.exit_code == 0, res.output
|
|
assert store.deleted == [("memory", ["memory"])]
|
|
assert not registry.exists()
|
|
|
|
|
|
def test_vector_help_does_not_expose_migrate_and_keeps_qdrant_commands():
|
|
res = CliRunner().invoke(app, ["vector", "--help"])
|
|
|
|
assert res.exit_code == 0, res.output
|
|
assert "migrate" not in res.output
|
|
assert "init" in res.output
|
|
assert "index-schema" in res.output
|
|
|
|
|
|
def test_vector_migrate_command_is_absent():
|
|
res = CliRunner().invoke(app, ["vector", "migrate", "--help"])
|
|
|
|
assert res.exit_code != 0
|
|
assert "No such command 'migrate'" in res.output
|
|
|
|
|
|
def test_memory_solved_index_help_uses_semantic_store_wording():
|
|
res = CliRunner().invoke(app, ["memory", "solved-index", "--help"])
|
|
|
|
assert res.exit_code == 0, res.output
|
|
assert "semantic" in res.output.lower() or "qdrant" in res.output.lower()
|
|
assert "vectordb" not in res.output.lower()
|
|
|
|
|
|
def test_vector_index_schema_json_is_single_document(monkeypatch, tmp_path):
|
|
import json
|
|
|
|
cfg = _qdrant_runtime_config(tmp_path)
|
|
_write_schema_artifacts(tmp_path)
|
|
store = _FakeVectorStore()
|
|
monkeypatch.setattr("tht.adapters.factory.build_vector_store", lambda cfg, require_write: store)
|
|
monkeypatch.setattr("tht.cli.vector_cmd.make_embedder", lambda _: _FakeEmbedder())
|
|
response = CliRunner().invoke(app, ["vector", "index-schema", "--json", "-c", str(cfg)])
|
|
assert response.exit_code == 0, response.output
|
|
assert response.stdout.count("\n") == 1
|
|
payload = json.loads(response.stdout)
|
|
assert payload["status"] == "succeeded"
|
|
assert payload["code"] == "ok"
|
|
assert payload["counts"]["added"] == 2
|
|
|
|
|
|
def test_vector_index_schema_json_failure_is_safe(monkeypatch, tmp_path):
|
|
import json
|
|
|
|
cfg = _qdrant_runtime_config(tmp_path)
|
|
_write_schema_artifacts(tmp_path)
|
|
monkeypatch.setattr(
|
|
"tht.adapters.factory.build_vector_store",
|
|
lambda cfg, require_write: (_ for _ in ()).throw(RuntimeError("secret qdrant endpoint")),
|
|
)
|
|
response = CliRunner().invoke(app, ["vector", "index-schema", "--json", "-c", str(cfg)])
|
|
assert response.exit_code != 0
|
|
assert response.stdout.count("\n") == 1
|
|
payload = json.loads(response.stdout)
|
|
assert payload == {"status": "failed", "code": "schema_index_failed"}
|
|
assert "secret qdrant" not in response.stdout
|
|
|
|
|
|
|
|
def test_vector_index_schema_human_missing_physical_has_original_error(tmp_path):
|
|
cfg = _qdrant_runtime_config(tmp_path)
|
|
_write_schema_artifacts(tmp_path)
|
|
physical = tmp_path / "artifacts" / "mschema" / "physical.yaml"
|
|
physical.unlink()
|
|
response = CliRunner().invoke(app, ["vector", "index-schema", "-c", str(cfg)])
|
|
assert response.exit_code == 1
|
|
assert "physical.yaml non trovato. Esegui prima `tht schema introspect`." in response.output
|
|
|
|
|
|
def test_vector_index_schema_json_missing_physical_has_no_stderr_prose(tmp_path):
|
|
import json
|
|
|
|
cfg = _qdrant_runtime_config(tmp_path)
|
|
_write_schema_artifacts(tmp_path)
|
|
(tmp_path / "artifacts" / "mschema" / "physical.yaml").unlink()
|
|
response = CliRunner().invoke(app, ["vector", "index-schema", "--json", "-c", str(cfg)])
|
|
assert response.exit_code == 1
|
|
assert response.stderr == ""
|
|
assert json.loads(response.stdout) == {"status": "failed", "code": "physical_schema_missing"}
|
|
|
|
|
|
def test_vector_index_schema_human_missing_config_has_original_error(tmp_path):
|
|
cfg = tmp_path / "missing.yaml"
|
|
response = CliRunner().invoke(app, ["vector", "index-schema", "-c", str(cfg)])
|
|
assert response.exit_code == 1
|
|
assert response.output
|
|
assert "ERRORE:" in response.output
|