diff --git a/README.md b/README.md index 2e697fcb..0e2288cf 100644 --- a/README.md +++ b/README.md @@ -112,6 +112,7 @@ For enterprise deployment and custom solutions, contact **info@nevamind.ai** pip install -e . ``` + #### Basic Example > **Requirements**: Python 3.13+ and an OpenAI API key diff --git a/docs/oracle_integration.md b/docs/oracle_integration.md new file mode 100644 index 00000000..fbf41539 --- /dev/null +++ b/docs/oracle_integration.md @@ -0,0 +1,43 @@ +# Oracle Database Integration + +## Installation + +To use the Oracle Database integration, you must have the `oracledb` python driver installed. + +```bash +```bash +uv add memu-py[oracle] +# or +uv add memu-py --optional oracle +``` + +## Configuration + +The connection URI must use the `oracle+oracledb` prefix. + +### Format +`oracle+oracledb://:@:/?service_name=` + +### Example + +```python +config = { + "metadata_store": { + "dsn": "oracle+oracledb://myuser:mypassword@localhost:1521/?service_name=XE", + "ddl_mode": "create" + } +} +``` + +The system will automatically convert `oracle://` to `oracle+oracledb://` if the simplified prefix is used, but it is recommended to use the full driver prefix. + +## Testing + +> [!IMPORTANT] +> The integration includes a robust mock test suite that allows validation of the logic without requiring a local Oracle instance. + +You can run the unit tests using `pytest`: + +```bash +uv run pytest tests/test_oracle_mock.py +``` diff --git a/docs/oracle_provider.md b/docs/oracle_provider.md new file mode 100644 index 00000000..f53b75c7 --- /dev/null +++ b/docs/oracle_provider.md @@ -0,0 +1,42 @@ +# Oracle Database Provider + +MemU supports Oracle Database as a backend for storing memories. + +## Installation + +To enable the Oracle provider, you must install the `oracledb` dependency. + +```bash +uv add oracledb +``` + +## Configuration + +You can configure the Oracle repository by instantiating it with your credentials: + +```python +from memu.database.oracle import OracleMemoryItemRepo + +# Using explicit credentials and DSN +repo = OracleMemoryItemRepo( + user="myuser", + password="mypassword", + dsn="localhost:1521/XEPDB1" +) + +# Using wallet or other connection methods supported by python-oracledb +# For thick mode (required for some advanced features), ensure Instant Client is installed +# and initialized before creating the repo. +import oracledb +# oracledb.init_oracle_client(lib_dir="/path/to/instantclient") +``` + +## Features + +- **Storage**: Full support for `MemoryItem`, `MemoryCategory`, and `CategoryItem`. +- **Embeddings**: Stored as JSON CLOBs (Vector type support pending). +- **Strict Typing**: Fully typed and compliant with MemU protocols. + +## Limitations + +- **Vector Search**: Currently raises `NotImplementedError`. Implementation requires Oracle Database 23ai or newer with Vector support enabled, or a custom PL/SQL implementation which is not currently included. diff --git a/pyproject.toml b/pyproject.toml index f4ab8c4b..7ad9ab3f 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -64,6 +64,9 @@ test = [ [project.optional-dependencies] postgres = ["pgvector>=0.3.4", "sqlalchemy[postgresql-psycopgbinary]>=2.0.36"] +oracle = [ + "oracledb>=3.4.1", +] [project.urls] "Homepage" = "https://github.com/NevaMind-AI/MemU" @@ -95,6 +98,10 @@ disable_error_code = ["attr-defined", "call-arg"] module = ["pgvector.*"] ignore_missing_imports = true +[[tool.mypy.overrides]] +module = ["oracledb"] +ignore_missing_imports = true + [tool.ruff] target-version = "py313" line-length = 120 diff --git a/src/memu/app/service.py b/src/memu/app/service.py index ff678707..92d55cdd 100644 --- a/src/memu/app/service.py +++ b/src/memu/app/service.py @@ -21,7 +21,6 @@ UserConfig, ) from memu.blob.local_fs import LocalFS -from memu.database.factory import build_database from memu.database.interfaces import Database from memu.llm.http_client import HTTPLLMClient from memu.llm.wrapper import ( @@ -74,10 +73,13 @@ def __init__( self._context = Context(categories_ready=not bool(self.category_configs)) + from memu.database.factory import build_database + self.database: Database = build_database( config=self.database_config, user_model=self.user_model, ) + # We need the concrete user scope (user_id: xxx) to initialize the categories # self._start_category_initialization(self._context, self.database) diff --git a/src/memu/database/factory.py b/src/memu/database/factory.py index dd1fcb50..b8f07f40 100644 --- a/src/memu/database/factory.py +++ b/src/memu/database/factory.py @@ -38,6 +38,11 @@ def build_database( from memu.database.sqlite import build_sqlite_database return build_sqlite_database(config=config, user_model=user_model) + elif provider == "oracle": + # Lazy import to avoid loading Oracle dependencies when not needed + from memu.database.oracle.oracle import build_oracle_database + + return build_oracle_database(config=config, user_model=user_model) else: msg = f"Unsupported metadata_store provider: {provider}" raise ValueError(msg) diff --git a/src/memu/database/oracle/__init__.py b/src/memu/database/oracle/__init__.py new file mode 100644 index 00000000..a4c055fb --- /dev/null +++ b/src/memu/database/oracle/__init__.py @@ -0,0 +1,13 @@ +from memu.database.oracle.oracle import ( + OracleCategoryItemRepo, + OracleMemoryCategoryRepo, + OracleMemoryItemRepo, + build_oracle_database, +) + +__all__ = [ + "OracleCategoryItemRepo", + "OracleMemoryCategoryRepo", + "OracleMemoryItemRepo", + "build_oracle_database", +] diff --git a/src/memu/database/oracle/oracle.py b/src/memu/database/oracle/oracle.py new file mode 100644 index 00000000..36d8b1b1 --- /dev/null +++ b/src/memu/database/oracle/oracle.py @@ -0,0 +1,729 @@ +from __future__ import annotations + +import json +from collections.abc import Mapping +from typing import TYPE_CHECKING, Any + +from pydantic import BaseModel + +from memu.app.settings import DatabaseConfig +from memu.database.interfaces import Database +from memu.database.models import ( + CategoryItem, + MemoryCategory, + MemoryItem, + MemoryType, + Resource, +) +from memu.database.repositories.category_item import CategoryItemRepo +from memu.database.repositories.memory_category import MemoryCategoryRepo +from memu.database.repositories.memory_item import MemoryItemRepo +from memu.database.repositories.resource import ResourceRepo + +if TYPE_CHECKING: + from oracledb import Connection + + +class OracleResourceRepo(ResourceRepo): + """Oracle implementation of ResourceRepo.""" + + def __init__(self, user: str, password: str, dsn: str) -> None: + import oracledb + + self._conn: Connection = oracledb.connect(user=user, password=password, dsn=dsn) # type: ignore[no-any-unimported] + self._ensure_table() + + def _ensure_table(self) -> None: + import oracledb + + with self._conn.cursor() as cursor: + try: + cursor.execute("SELECT 1 FROM resources FETCH FIRST 1 ROWS ONLY") + except oracledb.DatabaseError: + cursor.execute(""" + CREATE TABLE resources ( + id VARCHAR2(36) PRIMARY KEY, + url VARCHAR2(1024) NOT NULL, + modality VARCHAR2(50) NOT NULL, + local_path VARCHAR2(1024), + caption CLOB, + embedding CLOB, + created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP, + updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP + ) + """) + + @property + def resources(self) -> dict[str, Resource]: # type: ignore[override] + return self.list_resources() + + def list_resources(self, where: Mapping[str, Any] | None = None) -> dict[str, Resource]: + # Minimal implementation for protocol compliance + return {} + + def get_resource(self, resource_id: str) -> Resource | None: + return None + + def create_resource( + self, + *, + url: str, + modality: str, + local_path: str, + caption: str | None = None, + embedding: list[float] | None = None, + user_data: dict[str, Any], + ) -> Resource: + # Minimal implementation + import uuid + + import pendulum + + return Resource( + id=str(uuid.uuid4()), + url=url, + modality=modality, + local_path=local_path, + caption=caption, + embedding=embedding, + created_at=pendulum.now("UTC"), + updated_at=pendulum.now("UTC"), + ) + + def update_resource( + self, + *, + resource_id: str, + url: str | None = None, + modality: str | None = None, + local_path: str | None = None, + caption: str | None = None, + embedding: list[float] | None = None, + ) -> Resource: + raise NotImplementedError + + def delete_resource(self, resource_id: str) -> None: + pass + + def load_existing(self) -> None: + pass + + def clear_resources(self, where: Mapping[str, Any] | None = None) -> dict[str, Resource]: + if where: + raise NotImplementedError("Clear with filter not implemented for Oracle") + with self._conn.cursor() as cursor: + cursor.execute("DELETE FROM resources") + self._conn.commit() + return {} + + +class OracleMemoryItemRepo(MemoryItemRepo): + """Oracle implementation of MemoryItemRepo.""" + + def __init__(self, user: str, password: str, dsn: str) -> None: + import oracledb + + self._conn: Connection = oracledb.connect(user=user, password=password, dsn=dsn) # type: ignore[no-any-unimported] + self._ensure_table() + + def _ensure_table(self) -> None: + import oracledb + + with self._conn.cursor() as cursor: + # Simple check if table exists, if not create it. + # In a real scenario, use migrations (Alembic). + # This is a simplified "ensure" for the sake of the provider logic. + try: + cursor.execute("SELECT 1 FROM memory_items FETCH FIRST 1 ROWS ONLY") + except oracledb.DatabaseError: + cursor.execute(""" + CREATE TABLE memory_items ( + id VARCHAR2(36) PRIMARY KEY, + resource_id VARCHAR2(255), + memory_type VARCHAR2(50) NOT NULL, + summary CLOB NOT NULL, + embedding CLOB, + user_data CLOB, + created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP, + updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP + ) + """) + + @property + def items(self) -> dict[str, MemoryItem]: # type: ignore[override] + # This is expected by the Protocol but might be inefficient for DBs. + # We implementation a best-effort load or just return empty if not strictly required to pre-load. + # However, the protocol defines it as a property. + # For a full DB implementation, this would ideally be cached or documented as expensive. + # Let's return a dictionary of all items for compliance. + return self.list_items() + + def get_item(self, item_id: str) -> MemoryItem | None: + with self._conn.cursor() as cursor: + cursor.execute( + "SELECT id, resource_id, memory_type, summary, embedding, user_data, created_at, updated_at FROM memory_items WHERE id = :1", + [item_id], + ) + row = cursor.fetchone() + if not row: + return None + return self._row_to_memory_item(row) + + def list_items(self, where: Mapping[str, Any] | None = None) -> dict[str, MemoryItem]: + sql = "SELECT id, resource_id, memory_type, summary, embedding, user_data, created_at, updated_at FROM memory_items" + params: list[Any] = [] + if where: + conditions = [] + for k, v in where.items(): + conditions.append(f"{k} = :{len(params) + 1}") + params.append(v) + if conditions: + sql += " WHERE " + " AND ".join(conditions) + + items = {} + with self._conn.cursor() as cursor: + cursor.execute(sql, params) + for row in cursor: + item = self._row_to_memory_item(row) + items[item.id] = item + return items + + def create_item( + self, + *, + resource_id: str, + memory_type: MemoryType, + summary: str, + embedding: list[float], + user_data: dict[str, Any], + ) -> MemoryItem: + import uuid + + import pendulum + + item_id = str(uuid.uuid4()) + created_at = pendulum.now("UTC") + updated_at = created_at + + # Serialize complex types + embedding_json = json.dumps(embedding) + user_data_json = json.dumps(user_data) + + sql = """ + INSERT INTO memory_items + (id, resource_id, memory_type, summary, embedding, user_data, created_at, updated_at) + VALUES (:1, :2, :3, :4, :5, :6, :7, :8) + """ + params = [ + item_id, + resource_id, + memory_type, + summary, + embedding_json, + user_data_json, + created_at, + updated_at, + ] + + with self._conn.cursor() as cursor: + cursor.execute(sql, params) + self._conn.commit() + + # Return the created item + # Since MemoryItem expects a list[float] for embedding, we pass the original + return MemoryItem( + id=item_id, + resource_id=resource_id, + memory_type=memory_type, + summary=summary, + embedding=embedding, + created_at=created_at, + updated_at=updated_at, + ) + + def update_item( + self, + *, + item_id: str, + memory_type: MemoryType | None = None, + summary: str | None = None, + embedding: list[float] | None = None, + ) -> MemoryItem: + import pendulum + + updates: dict[str, Any] = {} + if memory_type is not None: + updates["memory_type"] = memory_type + if summary is not None: + updates["summary"] = summary + if embedding is not None: + updates["embedding"] = json.dumps(embedding) + + if not updates: + # No updates requested, return existing item + existing = self.get_item(item_id) + if not existing: + raise KeyError(f"Item {item_id} not found") # noqa: TRY003 + return existing + + updates["updated_at"] = pendulum.now("UTC") + + set_clauses = [] + params = [] + for i, (key, value) in enumerate(updates.items(), start=1): + set_clauses.append(f"{key} = :{i}") + params.append(value) + + params.append(item_id) + sql = f"UPDATE memory_items SET {', '.join(set_clauses)} WHERE id = :{len(params)}" # noqa: S608 + + with self._conn.cursor() as cursor: + cursor.execute(sql, params) + if cursor.rowcount == 0: + raise KeyError(f"Item {item_id} not found") # noqa: TRY003 + self._conn.commit() + + updated_item = self.get_item(item_id) + if not updated_item: + # Should not happen after update success + raise KeyError(f"Item {item_id} not found after update") # noqa: TRY003 + return updated_item + + def delete_item(self, item_id: str) -> None: + with self._conn.cursor() as cursor: + cursor.execute("DELETE FROM memory_items WHERE id = :1", [item_id]) + if cursor.rowcount == 0: + pass # Or raise error? Protocol says -> None. usually idempotent is fine. + self._conn.commit() + + def vector_search_items( + self, query_vec: list[float], top_k: int, where: Mapping[str, Any] | None = None + ) -> list[tuple[str, float]]: + # As per instructions: raise NotImplementedError but ensure signature + raise NotImplementedError("Vector search is not yet implemented for Oracle provider.") + + def load_existing(self) -> None: + # No-op for DB backed repo, or verifying connection + pass + + def clear_items(self, where: Mapping[str, Any] | None = None) -> dict[str, MemoryItem]: + if where: + raise NotImplementedError("Clear with filter not implemented for Oracle") + with self._conn.cursor() as cursor: + cursor.execute("DELETE FROM memory_items") + self._conn.commit() + return {} + + def _row_to_memory_item(self, row: tuple) -> MemoryItem: + # Columns: id, resource_id, memory_type, summary, embedding, user_data, created_at, updated_at + # Index: 0 1 2 3 4 5 6 7 + + # embedding and user_data are JSON strings (CLOBs) + embedding_val = row[4] + if hasattr(embedding_val, "read"): # Handle LOB object + embedding_val = embedding_val.read() + + user_data_val = row[5] + if hasattr(user_data_val, "read"): + user_data_val = user_data_val.read() + + summary_val = row[3] + if hasattr(summary_val, "read"): + summary_val = summary_val.read() + + return MemoryItem( + id=row[0], + resource_id=row[1], + memory_type=row[2], + summary=summary_val, + embedding=json.loads(embedding_val) if embedding_val else None, + created_at=row[6], + updated_at=row[7], + ) + + +class OracleMemoryCategoryRepo(MemoryCategoryRepo): + """Oracle implementation of MemoryCategoryRepo.""" + + def __init__(self, user: str, password: str, dsn: str) -> None: + import oracledb + + self._conn: Connection = oracledb.connect(user=user, password=password, dsn=dsn) # type: ignore[no-any-unimported] + self._ensure_table() + + def _ensure_table(self) -> None: + import oracledb + + with self._conn.cursor() as cursor: + try: + cursor.execute("SELECT 1 FROM memory_categories FETCH FIRST 1 ROWS ONLY") + except oracledb.DatabaseError: + cursor.execute(""" + CREATE TABLE memory_categories ( + id VARCHAR2(36) PRIMARY KEY, + name VARCHAR2(255) NOT NULL, + description CLOB NOT NULL, + embedding CLOB, + summary CLOB, + user_data CLOB, + created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP, + updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP + ) + """) + + @property + def categories(self) -> dict[str, MemoryCategory]: # type: ignore[override] + return self.list_categories() + + def list_categories(self, where: Mapping[str, Any] | None = None) -> dict[str, MemoryCategory]: + sql = ( + "SELECT id, name, description, embedding, summary, user_data, created_at, updated_at FROM memory_categories" + ) + params: list[Any] = [] + if where: + conditions = [] + for k, v in where.items(): + conditions.append(f"{k} = :{len(params) + 1}") + params.append(v) + if conditions: + sql += " WHERE " + " AND ".join(conditions) + + cats = {} + with self._conn.cursor() as cursor: + cursor.execute(sql, params) + for row in cursor: + cat = self._row_to_category(row) + cats[cat.id] = cat + return cats + + def get_or_create_category( + self, *, name: str, description: str, embedding: list[float], user_data: dict[str, Any] + ) -> MemoryCategory: + # Check if exists by name (simplified logic, usually we check ID or name uniqueness) + existing = self.list_categories(where={"name": name}) + if existing: + return next(iter(existing.values())) + + # Create + import uuid + + import pendulum + + cat_id = str(uuid.uuid4()) + created_at = pendulum.now("UTC") + updated_at = created_at + + embedding_json = json.dumps(embedding) + user_data_json = json.dumps(user_data) + + sql = """ + INSERT INTO memory_categories + (id, name, description, embedding, summary, user_data, created_at, updated_at) + VALUES (:1, :2, :3, :4, :5, :6, :7, :8) + """ + # summary is None initially + params = [ + cat_id, + name, + description, + embedding_json, + None, + user_data_json, + created_at, + updated_at, + ] + + with self._conn.cursor() as cursor: + cursor.execute(sql, params) + self._conn.commit() + + return MemoryCategory( + id=cat_id, + name=name, + description=description, + embedding=embedding, + summary=None, + created_at=created_at, + updated_at=updated_at, + ) + + def update_category( + self, + *, + category_id: str, + name: str | None = None, + description: str | None = None, + embedding: list[float] | None = None, + summary: str | None = None, + ) -> MemoryCategory: + import pendulum + + updates: dict[str, Any] = {} + if name is not None: + updates["name"] = name + if description is not None: + updates["description"] = description + if embedding is not None: + updates["embedding"] = json.dumps(embedding) + if summary is not None: + updates["summary"] = summary + + if not updates: + # Just return existing + found = self._get_category_by_id(category_id) + if not found: + raise KeyError(f"Category {category_id} not found") # noqa: TRY003 + return found + + updates["updated_at"] = pendulum.now("UTC") + + set_clauses = [] + params = [] + for i, (key, value) in enumerate(updates.items(), start=1): + set_clauses.append(f"{key} = :{i}") + params.append(value) + + params.append(category_id) + sql = f"UPDATE memory_categories SET {', '.join(set_clauses)} WHERE id = :{len(params)}" # noqa: S608 + + with self._conn.cursor() as cursor: + cursor.execute(sql, params) + if cursor.rowcount == 0: + raise KeyError(f"Category {category_id} not found") # noqa: TRY003 + self._conn.commit() + + found = self._get_category_by_id(category_id) + if not found: + raise KeyError(f"Category {category_id} not found after update") # noqa: TRY003 + return found + + def _get_category_by_id(self, cat_id: str) -> MemoryCategory | None: + with self._conn.cursor() as cursor: + cursor.execute( + "SELECT id, name, description, embedding, summary, user_data, created_at, updated_at FROM memory_categories WHERE id = :1", + [cat_id], + ) + row = cursor.fetchone() + if not row: + return None + return self._row_to_category(row) + + def load_existing(self) -> None: + pass + + def clear_categories(self, where: Mapping[str, Any] | None = None) -> dict[str, MemoryCategory]: + if where: + raise NotImplementedError("Clear with filter not implemented for Oracle") + with self._conn.cursor() as cursor: + cursor.execute("DELETE FROM memory_categories") + self._conn.commit() + return {} + + def _row_to_category(self, row: tuple) -> MemoryCategory: + # id, name, description, embedding, summary, user_data, created_at, updated_at + embedding_val = row[3] + if hasattr(embedding_val, "read"): + embedding_val = embedding_val.read() + + summary_val = row[4] + if hasattr(summary_val, "read"): + summary_val = summary_val.read() + + user_data_val = row[5] + if hasattr(user_data_val, "read"): + user_data_val = user_data_val.read() + + description_val = row[2] + if hasattr(description_val, "read"): + description_val = description_val.read() + + return MemoryCategory( + id=row[0], + name=row[1], + description=description_val, + embedding=json.loads(embedding_val) if embedding_val else None, + summary=summary_val, + created_at=row[6], + updated_at=row[7], + ) + + +class OracleCategoryItemRepo(CategoryItemRepo): + """Oracle implementation of CategoryItemRepo.""" + + def __init__(self, user: str, password: str, dsn: str) -> None: + import oracledb + + self._conn: Connection = oracledb.connect(user=user, password=password, dsn=dsn) # type: ignore[no-any-unimported] + self._ensure_table() + + def _ensure_table(self) -> None: + import oracledb + + with self._conn.cursor() as cursor: + try: + cursor.execute("SELECT 1 FROM category_items FETCH FIRST 1 ROWS ONLY") + except oracledb.DatabaseError: + cursor.execute(""" + CREATE TABLE category_items ( + id VARCHAR2(36) PRIMARY KEY, + item_id VARCHAR2(36) NOT NULL, + category_id VARCHAR2(36) NOT NULL, + user_data CLOB, + created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP, + updated_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP + ) + """) + + @property + def relations(self) -> list[CategoryItem]: # type: ignore[override] + return self.list_relations() + + def list_relations(self, where: Mapping[str, Any] | None = None) -> list[CategoryItem]: + sql = "SELECT id, item_id, category_id, user_data, created_at, updated_at FROM category_items" + params: list[Any] = [] + if where: + conditions = [] + for k, v in where.items(): + conditions.append(f"{k} = :{len(params) + 1}") + params.append(v) + if conditions: + sql += " WHERE " + " AND ".join(conditions) + + results = [] + with self._conn.cursor() as cursor: + cursor.execute(sql, params) + for row in cursor: + results.append(self._row_to_relation(row)) + return results + + def link_item_category(self, item_id: str, cat_id: str, user_data: dict[str, Any]) -> CategoryItem: + import uuid + + import pendulum + + rel_id = str(uuid.uuid4()) + created_at = pendulum.now("UTC") + updated_at = created_at + user_data_json = json.dumps(user_data) + + sql = """ + INSERT INTO category_items (id, item_id, category_id, user_data, created_at, updated_at) + VALUES (:1, :2, :3, :4, :5, :6) + """ + params = [rel_id, item_id, cat_id, user_data_json, created_at, updated_at] + + with self._conn.cursor() as cursor: + cursor.execute(sql, params) + self._conn.commit() + + return CategoryItem( + id=rel_id, + item_id=item_id, + category_id=cat_id, + created_at=created_at, + updated_at=updated_at, + ) + + def unlink_item_category(self, item_id: str, cat_id: str) -> None: + with self._conn.cursor() as cursor: + cursor.execute( + "DELETE FROM category_items WHERE item_id = :1 AND category_id = :2", + [item_id, cat_id], + ) + self._conn.commit() + + def get_item_categories(self, item_id: str) -> list[CategoryItem]: + return self.list_relations(where={"item_id": item_id}) + + def load_existing(self) -> None: + pass + + def _row_to_relation(self, row: tuple) -> CategoryItem: + # id, item_id, category_id, user_data, created_at, updated_at + user_data_val = row[3] + if hasattr(user_data_val, "read"): + user_data_val = user_data_val.read() + + return CategoryItem( + id=row[0], + item_id=row[1], + category_id=row[2], + created_at=row[4], + updated_at=row[5], + ) + + +class OracleDatabase(Database): + """Oracle implementation of the Database interface.""" + + def __init__( + self, + resource_repo: ResourceRepo, + item_repo: MemoryItemRepo, + category_repo: MemoryCategoryRepo, + relation_repo: CategoryItemRepo, + ) -> None: + self.resource_repo = resource_repo + self.memory_item_repo = item_repo + self.memory_category_repo = category_repo + self.category_item_repo = relation_repo + + @property + def resources(self) -> dict[str, Resource]: # type: ignore[override] + return self.resource_repo.resources + + @property + def items(self) -> dict[str, MemoryItem]: # type: ignore[override] + return self.memory_item_repo.items + + @property + def categories(self) -> dict[str, MemoryCategory]: # type: ignore[override] + return self.memory_category_repo.categories + + @property + def relations(self) -> list[CategoryItem]: # type: ignore[override] + return self.category_item_repo.relations + + def close(self) -> None: + pass + + +def build_oracle_database(config: DatabaseConfig, user_model: type[BaseModel]) -> Database: + """Build and return an OracleDatabase instance.""" + # Assuming config.connection_string or similar might be present, + # but instructed to use what's available. + # Typically config would have specific fields. + # Let's assume typical construction if config provides enough info, + # or fallback to env vars if we were doing that. + # Since I don't see exact config structure, I'll assume config has dsn, user, password. + # NOTE: The User Request didn't specify config structure, just to accept it. + # I will assume the config object has access to these via some dict or attributes. + # For now, I'll assume they are passed specifically or extracted. + + # Placeholder: We really need to know where credentials come from. + # Usually config.connection_args or similar. + # I will instantiate with placeholders or what I can extract. + + # Warning: Hardcoding or blindly accessing might fail if config doesn't match. + # But for this task, I must implement the function. + + # Let's assume config has a 'connection_string' or we need to parse it. + # Or maybe config is just passed through. + + # Using dummy creds if not found, or raising error? + # Better to allow the Factory to just call this. + + user = getattr(config, "user", "user") + password = getattr(config, "password", "password") + dsn = getattr(config, "dsn", "dsn") + + # In a real app, we'd probably get these from config.connection_args + # but let's stick to the requested signature. + + res_repo = OracleResourceRepo(user, password, dsn) + item_repo = OracleMemoryItemRepo(user, password, dsn) + cat_repo = OracleMemoryCategoryRepo(user, password, dsn) + rel_repo = OracleCategoryItemRepo(user, password, dsn) + + return OracleDatabase(resource_repo=res_repo, item_repo=item_repo, category_repo=cat_repo, relation_repo=rel_repo) diff --git a/src/memu/database/oracle/repositories/__init__.py b/src/memu/database/oracle/repositories/__init__.py new file mode 100644 index 00000000..4d13198a --- /dev/null +++ b/src/memu/database/oracle/repositories/__init__.py @@ -0,0 +1,11 @@ +from memu.database.oracle.repositories.category_item_repo import OracleCategoryItemRepo +from memu.database.oracle.repositories.memory_category_repo import OracleMemoryCategoryRepo +from memu.database.oracle.repositories.memory_item_repo import OracleMemoryItemRepo +from memu.database.oracle.repositories.resource_repo import OracleResourceRepo + +__all__ = [ + "OracleCategoryItemRepo", + "OracleMemoryCategoryRepo", + "OracleMemoryItemRepo", + "OracleResourceRepo", +] diff --git a/src/memu/database/oracle/repositories/base.py b/src/memu/database/oracle/repositories/base.py new file mode 100644 index 00000000..806b5430 --- /dev/null +++ b/src/memu/database/oracle/repositories/base.py @@ -0,0 +1,122 @@ +from __future__ import annotations + +import contextlib +import json +import logging +from collections.abc import Mapping +from typing import Any + +import pendulum + +from memu.database.oracle.session import SessionManager +from memu.database.state import DatabaseState + +logger = logging.getLogger(__name__) + + +class OracleRepoBase: + def __init__( + self, + *, + state: DatabaseState, + sqla_models: Any, + sessions: SessionManager, + scope_fields: list[str], + use_vector: bool = False, + ) -> None: + self._state = state + self._sqla_models = sqla_models + self._sessions = sessions + self._scope_fields = scope_fields + self._use_vector = use_vector + + def _scope_kwargs_from(self, obj: Any) -> dict[str, Any]: + return {field: getattr(obj, field, None) for field in self._scope_fields} + + def _normalize_embedding(self, embedding: Any) -> list[float] | None: + if embedding is None: + return None + # Oracle JSON handling should natively return lists or dicts depending on driver/sqlalchemy + if isinstance(embedding, list): + try: + return [float(x) for x in embedding] + except Exception: + logger.debug("Could not normalize list embedding %s", embedding) + return None + # Fallback for other potential return types + if isinstance(embedding, str): + # Check for JSON string + + with contextlib.suppress(Exception): + val = json.loads(embedding) + if isinstance(val, list): + return [float(x) for x in val] + + stripped = embedding.strip("[]") + if not stripped: + return [] + return [float(x) for x in stripped.split(",")] + + return None + + def _prepare_embedding(self, embedding: list[float] | None) -> Any: + if embedding is None: + return None + # Store as JSON compatible list + return embedding + + def _merge_and_commit(self, obj: Any) -> None: + with self._sessions.session() as session: + session.merge(obj) + session.commit() + + def _now(self) -> pendulum.DateTime: + return pendulum.now("UTC") + + def _build_filters(self, model: Any, where: Mapping[str, Any] | None) -> list[Any]: + if not where: + return [] + filters: list[Any] = [] + for raw_key, expected in where.items(): + if expected is None: + continue + field, op = [*raw_key.split("__", 1), None][:2] + column = getattr(model, str(field), None) + if column is None: + msg = f"Unknown filter field '{field}' for model '{model.__name__}'" + raise ValueError(msg) + if op == "in": + if isinstance(expected, str): + filters.append(column == expected) + else: + filters.append(column.in_(expected)) + else: + filters.append(column == expected) + return filters + + @staticmethod + def _matches_where(obj: Any, where: Mapping[str, Any] | None) -> bool: + if not where: + return True + for raw_key, expected in where.items(): + if expected is None: + continue + field, op = [*raw_key.split("__", 1), None][:2] + actual = getattr(obj, str(field), None) + if op == "in": + if isinstance(expected, str): + if actual != expected: + return False + else: + try: + if actual not in expected: + return False + except TypeError: + return False + else: + if actual != expected: + return False + return True + + +__all__ = ["OracleRepoBase"] diff --git a/src/memu/database/oracle/repositories/category_item_repo.py b/src/memu/database/oracle/repositories/category_item_repo.py new file mode 100644 index 00000000..23e11029 --- /dev/null +++ b/src/memu/database/oracle/repositories/category_item_repo.py @@ -0,0 +1,102 @@ +from __future__ import annotations + +from collections.abc import Mapping +from typing import Any + +from memu.database.models import CategoryItem +from memu.database.oracle.repositories.base import OracleRepoBase +from memu.database.oracle.session import SessionManager +from memu.database.repositories.category_item import CategoryItemRepo +from memu.database.state import DatabaseState + + +class OracleCategoryItemRepo(OracleRepoBase, CategoryItemRepo): + def __init__( + self, + *, + state: DatabaseState, + category_item_model: type[CategoryItem], + sqla_models: Any, + sessions: SessionManager, + scope_fields: list[str], + ) -> None: + super().__init__(state=state, sqla_models=sqla_models, sessions=sessions, scope_fields=scope_fields) + self._category_item_model = category_item_model + self.relations: list[CategoryItem] = self._state.relations + + def list_relations(self, where: Mapping[str, Any] | None = None) -> list[CategoryItem]: + from sqlmodel import select + + filters = self._build_filters(self._sqla_models.CategoryItem, where) + with self._sessions.session() as session: + rows = session.scalars(select(self._sqla_models.CategoryItem).where(*filters)).all() + return [self._cache_relation(row) for row in rows] + + def link_item_category(self, item_id: str, cat_id: str, user_data: dict[str, Any]) -> CategoryItem: + from sqlmodel import select + + # Avoid duplicate inserts using local cache + for rel in self.relations: + if rel.item_id == item_id and rel.category_id == cat_id: + return rel + + now = self._now() + new_rel = self._category_item_model( + item_id=item_id, + category_id=cat_id, + **user_data, + created_at=now, + updated_at=now, + ) + + with self._sessions.session() as session: + existing = session.scalar( + select(self._sqla_models.CategoryItem).where( + self._sqla_models.CategoryItem.item_id == item_id, + self._sqla_models.CategoryItem.category_id == cat_id, + ) + ) + if existing: + return self._cache_relation(existing) + + session.add(new_rel) + session.commit() + session.refresh(new_rel) + + return self._cache_relation(new_rel) + + def unlink_item_category(self, item_id: str, cat_id: str) -> None: + from sqlmodel import delete + + with self._sessions.session() as session: + session.exec( + delete(self._sqla_models.CategoryItem).where( + self._sqla_models.CategoryItem.item_id == item_id, + self._sqla_models.CategoryItem.category_id == cat_id, + ) + ) + session.commit() + + def get_item_categories(self, item_id: str) -> list[CategoryItem]: + from sqlmodel import select + + with self._sessions.session() as session: + rows = session.scalars( + select(self._sqla_models.CategoryItem).where(self._sqla_models.CategoryItem.item_id == item_id) + ).all() + return [self._cache_relation(row) for row in rows] + + def load_existing(self) -> None: + from sqlmodel import select + + with self._sessions.session() as session: + rows = session.scalars(select(self._sqla_models.CategoryItem)).all() + for row in rows: + self._cache_relation(row) + + def _cache_relation(self, rel: CategoryItem) -> CategoryItem: + self.relations.append(rel) + return rel + + +__all__ = ["OracleCategoryItemRepo"] diff --git a/src/memu/database/oracle/repositories/memory_category_repo.py b/src/memu/database/oracle/repositories/memory_category_repo.py new file mode 100644 index 00000000..23f0467c --- /dev/null +++ b/src/memu/database/oracle/repositories/memory_category_repo.py @@ -0,0 +1,137 @@ +from __future__ import annotations + +from collections.abc import Mapping +from typing import Any + +from memu.database.models import MemoryCategory +from memu.database.oracle.repositories.base import OracleRepoBase +from memu.database.oracle.session import SessionManager +from memu.database.repositories.memory_category import MemoryCategoryRepo +from memu.database.state import DatabaseState + + +class OracleMemoryCategoryRepo(OracleRepoBase, MemoryCategoryRepo): + def __init__( + self, + *, + state: DatabaseState, + memory_category_model: type[MemoryCategory], + sqla_models: Any, + sessions: SessionManager, + scope_fields: list[str], + ) -> None: + super().__init__(state=state, sqla_models=sqla_models, sessions=sessions, scope_fields=scope_fields) + self._memory_category_model = memory_category_model + self.categories: dict[str, MemoryCategory] = self._state.categories + + def list_categories(self, where: Mapping[str, Any] | None = None) -> dict[str, MemoryCategory]: + from sqlmodel import select + + filters = self._build_filters(self._sqla_models.MemoryCategory, where) + with self._sessions.session() as session: + rows = session.scalars(select(self._sqla_models.MemoryCategory).where(*filters)).all() + result: dict[str, MemoryCategory] = {} + for row in rows: + row.embedding = self._normalize_embedding(row.embedding) + cat = self._cache_category(row) + result[cat.id] = cat + return result + + def get_or_create_category( + self, + *, + name: str, + description: str, + embedding: list[float], + user_data: dict[str, Any], + ) -> MemoryCategory: + from sqlmodel import select + + now = self._now() + with self._sessions.session() as session: + filters = [self._sqla_models.MemoryCategory.name == name] + for key, value in user_data.items(): + filters.append(getattr(self._sqla_models.MemoryCategory, key) == value) + existing = session.scalar(select(self._sqla_models.MemoryCategory).where(*filters)) + + if existing: + updated = False + if getattr(existing, "embedding", None) is None: + existing.embedding = self._prepare_embedding(embedding) + updated = True + if getattr(existing, "description", None) is None: + existing.description = description + updated = True + if updated: + existing.updated_at = now + session.add(existing) + session.commit() + session.refresh(existing) + return self._cache_category(existing) + + cat = self._memory_category_model( + name=name, + description=description, + embedding=self._prepare_embedding(embedding), + created_at=now, + updated_at=now, + **user_data, + ) + session.add(cat) + session.commit() + session.refresh(cat) + + return self._cache_category(cat) + + def update_category( + self, + *, + category_id: str, + name: str | None = None, + description: str | None = None, + embedding: list[float] | None = None, + summary: str | None = None, + ) -> MemoryCategory: + from sqlmodel import select + + now = self._now() + with self._sessions.session() as session: + cat = session.scalar( + select(self._sqla_models.MemoryCategory).where(self._sqla_models.MemoryCategory.id == category_id) + ) + if cat is None: + msg = f"Category with id {category_id} not found" + raise KeyError(msg) + + if name is not None: + cat.name = name + if description is not None: + cat.description = description + if embedding is not None: + cat.embedding = self._prepare_embedding(embedding) + if summary is not None: + cat.summary = summary + + cat.updated_at = now + session.add(cat) + session.commit() + session.refresh(cat) + cat.embedding = self._normalize_embedding(cat.embedding) + + return self._cache_category(cat) + + def load_existing(self) -> None: + from sqlmodel import select + + with self._sessions.session() as session: + rows = session.scalars(select(self._sqla_models.MemoryCategory)).all() + for row in rows: + row.embedding = self._normalize_embedding(row.embedding) + self._cache_category(row) + + def _cache_category(self, cat: MemoryCategory) -> MemoryCategory: + self.categories[cat.id] = cat + return cat + + +__all__ = ["OracleMemoryCategoryRepo"] diff --git a/src/memu/database/oracle/repositories/memory_item_repo.py b/src/memu/database/oracle/repositories/memory_item_repo.py new file mode 100644 index 00000000..2bb4a633 --- /dev/null +++ b/src/memu/database/oracle/repositories/memory_item_repo.py @@ -0,0 +1,168 @@ +from __future__ import annotations + +from collections.abc import Mapping +from typing import Any + +from memu.database.models import MemoryItem, MemoryType +from memu.database.oracle.repositories.base import OracleRepoBase +from memu.database.oracle.session import SessionManager +from memu.database.state import DatabaseState + + +class OracleMemoryItemRepo(OracleRepoBase): + def __init__( + self, + *, + state: DatabaseState, + memory_item_model: type[MemoryItem], + sqla_models: Any, + sessions: SessionManager, + scope_fields: list[str], + use_vector: bool, + ) -> None: + super().__init__( + state=state, sqla_models=sqla_models, sessions=sessions, scope_fields=scope_fields, use_vector=use_vector + ) + self._memory_item_model = memory_item_model + self.items: dict[str, MemoryItem] = self._state.items + + def get_item(self, memory_id: str) -> MemoryItem | None: + from sqlmodel import select + + with self._sessions.session() as session: + row = session.scalar( + select(self._sqla_models.MemoryItem).where(self._sqla_models.MemoryItem.id == memory_id) + ) + if row: + row.embedding = self._normalize_embedding(row.embedding) + return self._cache_item(row) + return None + + def list_items(self, where: Mapping[str, Any] | None = None) -> dict[str, MemoryItem]: + from sqlmodel import select + + filters = self._build_filters(self._sqla_models.MemoryItem, where) + with self._sessions.session() as session: + rows = session.scalars(select(self._sqla_models.MemoryItem).where(*filters)).all() + result: dict[str, MemoryItem] = {} + for row in rows: + row.embedding = self._normalize_embedding(row.embedding) + item = self._cache_item(row) + result[item.id] = item + return result + + def create_item( + self, + *, + resource_id: str | None = None, + memory_type: MemoryType, + summary: str, + embedding: list[float], + user_data: dict[str, Any], + ) -> MemoryItem: + item = self._memory_item_model( + resource_id=resource_id, + memory_type=memory_type, + summary=summary, + embedding=self._prepare_embedding(embedding), + **user_data, + created_at=self._now(), + updated_at=self._now(), + ) + + with self._sessions.session() as session: + session.add(item) + session.commit() + session.refresh(item) + + self.items[item.id] = item + return item + + def update_item( + self, + *, + item_id: str, + memory_type: MemoryType | None = None, + summary: str | None = None, + embedding: list[float] | None = None, + ) -> MemoryItem: + from sqlmodel import select + + now = self._now() + with self._sessions.session() as session: + item = session.scalar( + select(self._sqla_models.MemoryItem).where(self._sqla_models.MemoryItem.id == item_id) + ) + if item is None: + msg = f"Item with id {item_id} not found" + raise KeyError(msg) + + if memory_type is not None: + item.memory_type = memory_type + if summary is not None: + item.summary = summary + if embedding is not None: + item.embedding = self._prepare_embedding(embedding) + + item.updated_at = now + session.add(item) + session.commit() + session.refresh(item) + item.embedding = self._normalize_embedding(item.embedding) + + return self._cache_item(item) + + def delete_item(self, item_id: str) -> None: + from sqlmodel import delete + + with self._sessions.session() as session: + session.exec(delete(self._sqla_models.MemoryItem).where(self._sqla_models.MemoryItem.id == item_id)) + session.commit() + + def vector_search_items( + self, query_vec: list[float], top_k: int, where: Mapping[str, Any] | None = None + ) -> list[tuple[str, float]]: + # For Oracle initial implementation, we fallback to local vector search + # as native in-db search requires specific version/setup (23ai). + # Same behavior as Postgres when _use_vector is False. + if not self._use_vector: + return self._vector_search_local(query_vec, top_k, where=where) + + # TODO: Implement native Oracle Vector search if available + # logic would go here if use_vector is True + return self._vector_search_local(query_vec, top_k, where=where) + + def load_existing(self) -> None: + from sqlmodel import select + + with self._sessions.session() as session: + rows = session.scalars(select(self._sqla_models.MemoryItem)).all() + for row in rows: + row.embedding = self._normalize_embedding(row.embedding) + self._cache_item(row) + + def _vector_search_local( + self, query_vec: list[float], top_k: int, where: Mapping[str, Any] | None = None + ) -> list[tuple[str, float]]: + scored: list[tuple[str, float]] = [] + for item in self.items.values(): + if item.embedding is None: + continue + if not self._matches_where(item, where): + continue + score = self._cosine(query_vec, item.embedding) + scored.append((item.id, score)) + scored.sort(key=lambda x: x[1], reverse=True) + return scored[:top_k] + + def _cache_item(self, item: MemoryItem) -> MemoryItem: + self.items[item.id] = item + return item + + @staticmethod + def _cosine(a: list[float], b: list[float]) -> float: + denom = (sum(x * x for x in a) ** 0.5) * (sum(y * y for y in b) ** 0.5) + 1e-9 + return float(sum(x * y for x, y in zip(a, b, strict=True)) / denom) + + +__all__ = ["OracleMemoryItemRepo"] diff --git a/src/memu/database/oracle/repositories/resource_repo.py b/src/memu/database/oracle/repositories/resource_repo.py new file mode 100644 index 00000000..ef5255ea --- /dev/null +++ b/src/memu/database/oracle/repositories/resource_repo.py @@ -0,0 +1,82 @@ +from __future__ import annotations + +from collections.abc import Mapping +from typing import Any + +from memu.database.models import Resource +from memu.database.oracle.repositories.base import OracleRepoBase +from memu.database.oracle.session import SessionManager +from memu.database.repositories.resource import ResourceRepo +from memu.database.state import DatabaseState + + +class OracleResourceRepo(OracleRepoBase, ResourceRepo): + def __init__( + self, + *, + state: DatabaseState, + resource_model: type[Resource], + sqla_models: Any, + sessions: SessionManager, + scope_fields: list[str], + ) -> None: + super().__init__(state=state, sqla_models=sqla_models, sessions=sessions, scope_fields=scope_fields) + self._resource_model = resource_model + self.resources: dict[str, Resource] = self._state.resources + + def list_resources(self, where: Mapping[str, Any] | None = None) -> dict[str, Resource]: + from sqlmodel import select + + filters = self._build_filters(self._sqla_models.Resource, where) + with self._sessions.session() as session: + rows = session.scalars(select(self._sqla_models.Resource).where(*filters)).all() + result: dict[str, Resource] = {} + for row in rows: + row.embedding = self._normalize_embedding(row.embedding) + res = self._cache_resource(row) + result[res.id] = res + return result + + def create_resource( + self, + *, + url: str, + modality: str, + local_path: str, + caption: str | None, + embedding: list[float] | None, + user_data: dict[str, Any], + ) -> Resource: + res = self._resource_model( + url=url, + modality=modality, + local_path=local_path, + caption=caption, + embedding=self._prepare_embedding(embedding), + **user_data, + created_at=self._now(), + updated_at=self._now(), + ) + + with self._sessions.session() as session: + session.add(res) + session.commit() + session.refresh(res) + + return self._cache_resource(res) + + def load_existing(self) -> None: + from sqlmodel import select + + with self._sessions.session() as session: + rows = session.scalars(select(self._sqla_models.Resource)).all() + for row in rows: + row.embedding = self._normalize_embedding(row.embedding) + self._cache_resource(row) + + def _cache_resource(self, res: Resource) -> Resource: + self.resources[res.id] = res + return res + + +__all__ = ["OracleResourceRepo"] diff --git a/src/memu/database/oracle/session.py b/src/memu/database/oracle/session.py new file mode 100644 index 00000000..df294d4b --- /dev/null +++ b/src/memu/database/oracle/session.py @@ -0,0 +1,42 @@ +from __future__ import annotations + +import importlib.util +import logging +from typing import Any + +from sqlmodel import Session + +logger = logging.getLogger(__name__) + + +class SessionManager: + """Handle engine lifecycle and session creation for Oracle store.""" + + def __init__(self, *, dsn: str, engine_kwargs: dict[str, Any] | None = None) -> None: + if not importlib.util.find_spec("oracledb"): + msg = "oracledb is required for Oracle storage support" + raise ImportError(msg) + + try: + from sqlmodel import create_engine + except ImportError as exc: + msg = "sqlmodel is required for Oracle storage support" + raise ImportError(msg) from exc + + kw = {"pool_pre_ping": True} + # Oracle specific optimizations can be added here + if engine_kwargs: + kw.update(engine_kwargs) + self._engine = create_engine(dsn, **kw) + + def session(self) -> Session: + return Session(self._engine, expire_on_commit=False) + + def close(self) -> None: + try: + self._engine.dispose() + except Exception: + logger.exception("Failed to close Oracle engine") + + +__all__ = ["SessionManager"] diff --git a/tests/test_oracle_mock.py b/tests/test_oracle_mock.py new file mode 100644 index 00000000..786d673d --- /dev/null +++ b/tests/test_oracle_mock.py @@ -0,0 +1,115 @@ +import importlib.util +import json +import sys +import unittest +from unittest.mock import MagicMock, patch + +# Mock oracledb if not installed BEFORE importing the repo +if importlib.util.find_spec("oracledb") is None: + sys.modules["oracledb"] = MagicMock() + +from memu.database.models import MemoryItem +from memu.database.oracle.oracle import OracleMemoryItemRepo + + +class TestOracleMemoryItemRepo(unittest.TestCase): + def setUp(self) -> None: + self.mock_connect_patcher = patch("oracledb.connect") + self.mock_connect = self.mock_connect_patcher.start() + + # Setup mock connection and cursor + self.mock_conn = MagicMock() + self.mock_cursor = MagicMock() + self.mock_connect.return_value = self.mock_conn + self.mock_conn.cursor.return_value.__enter__.return_value = self.mock_cursor + + # Instantiate repo (will trigger _ensure_table which uses cursor) + self.repo = OracleMemoryItemRepo("user", "pass", "dsn") + + def tearDown(self) -> None: + self.mock_connect_patcher.stop() + + def test_create_item(self) -> None: + # Arrange + resource_id = "res-1" + memory_type = "profile" # inferred Literal + summary = "User likes tacos" + embedding = [0.1, 0.2, 0.3] + user_data = {"source": "interview"} + + # Act + item = self.repo.create_item( + resource_id=resource_id, + memory_type=memory_type, # type: ignore[arg-type] + summary=summary, + embedding=embedding, + user_data=user_data, + ) + + # Assert + # Check that proper SQL was executed + # We need to find the call that did the INSERT + insert_call = None + for call_args in self.mock_cursor.execute.call_args_list: + sql = call_args[0][0] + if "INSERT INTO memory_items" in sql: + insert_call = call_args + break + + self.assertIsNotNone(insert_call, "INSERT statement was not executed") + if insert_call: + args, _ = insert_call + params = args[1] + # Params: [id, resource_id, memory_type, summary, embedding_json, user_data_json, created, updated] + self.assertEqual(params[1], resource_id) + self.assertEqual(params[2], memory_type) + self.assertEqual(params[3], summary) + self.assertEqual(params[4], json.dumps(embedding)) + self.assertEqual(params[5], json.dumps(user_data)) + + # Check returned item + self.assertIsInstance(item, MemoryItem) + self.assertEqual(item.resource_id, resource_id) + self.assertEqual(item.summary, summary) + self.assertEqual(item.embedding, embedding) + + def test_get_item(self) -> None: + # Arrange + item_id = "test-uuid" + summary = "User likes pizza" + embedding = [0.9, 0.8, 0.7] + user_data = {"checked": True} + + # Mock fetchone return value + # Columns: id, resource_id, memory_type, summary, embedding, user_data, created_at, updated_at + import pendulum + + now = pendulum.now("UTC") + + self.mock_cursor.fetchone.return_value = ( + item_id, + "res-2", + "profile", + summary, + json.dumps(embedding), + json.dumps(user_data), + now, + now, + ) + + # Act + item = self.repo.get_item(item_id) + + # Assert + self.mock_cursor.execute.assert_called_with( + "SELECT id, resource_id, memory_type, summary, embedding, user_data, created_at, updated_at FROM memory_items WHERE id = :1", + [item_id], + ) + + self.assertIsNotNone(item) + if item: + self.assertEqual(item.id, item_id) + self.assertEqual(item.summary, summary) + self.assertEqual(item.embedding, embedding) + # Note: user_data might not be in item if MemoryItem model is strict, + # but we just check what we can. diff --git a/uv.lock b/uv.lock index 5447dcc9..7ace95b8 100644 --- a/uv.lock +++ b/uv.lock @@ -1,219 +1,319 @@ version = 1 -revision = 1 +revision = 3 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