mirror of
https://github.com/crewAIInc/crewAI.git
synced 2026-01-10 00:28:31 +00:00
refactor: update database connections to use storage_path
Co-Authored-By: Joe Moura <joao@crewai.com>
This commit is contained in:
@@ -1,4 +1,5 @@
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from typing import Any, Dict, Optional
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from crewai.task import Task
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from crewai.memory import EntityMemory, LongTermMemory, ShortTermMemory, UserMemory
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@@ -21,7 +22,7 @@ class ContextualMemory:
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self.em = em
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self.um = um
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def build_context_for_task(self, task, context) -> str:
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def build_context_for_task(self, task: Task, context: str) -> str:
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"""
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Automatically builds a minimal, highly relevant set of contextual information
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for a given task.
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@@ -39,7 +40,7 @@ class ContextualMemory:
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context.append(self._fetch_user_context(query))
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return "\n".join(filter(None, context))
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def _fetch_stm_context(self, query) -> str:
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def _fetch_stm_context(self, query: str) -> str:
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"""
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Fetches recent relevant insights from STM related to the task's description and expected_output,
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formatted as bullet points.
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@@ -53,7 +54,7 @@ class ContextualMemory:
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)
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return f"Recent Insights:\n{formatted_results}" if stm_results else ""
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def _fetch_ltm_context(self, task) -> Optional[str]:
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def _fetch_ltm_context(self, task: str) -> Optional[str]:
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"""
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Fetches historical data or insights from LTM that are relevant to the task's description and expected_output,
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formatted as bullet points.
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@@ -72,7 +73,7 @@ class ContextualMemory:
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return f"Historical Data:\n{formatted_results}" if ltm_results else ""
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def _fetch_entity_context(self, query) -> str:
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def _fetch_entity_context(self, query: str) -> str:
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"""
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Fetches relevant entity information from Entity Memory related to the task's description and expected_output,
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formatted as bullet points.
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@@ -1,6 +1,9 @@
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from abc import ABC, abstractmethod
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from pathlib import Path
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from typing import Any, Dict, List, Optional
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import os
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from typing import Any, Dict, List, Optional, TypeVar
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from abc import ABC, abstractmethod
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from pathlib import Path
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from crewai.utilities.paths import db_storage_path
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@@ -19,15 +22,42 @@ class BaseRAGStorage(ABC):
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allow_reset: bool = True,
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embedder_config: Optional[Any] = None,
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crew: Any = None,
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):
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) -> None:
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"""Initialize the BaseRAGStorage.
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Args:
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type: Type of storage being used
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storage_path: Optional custom path for storage location
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allow_reset: Whether storage can be reset
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embedder_config: Optional configuration for the embedder
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crew: Optional crew instance this storage belongs to
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Raises:
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PermissionError: If storage path is not writable
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OSError: If storage path cannot be created
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"""
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self.type = type
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self.storage_path = storage_path if storage_path else db_storage_path()
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# Validate storage path
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try:
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self.storage_path.parent.mkdir(parents=True, exist_ok=True)
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if not os.access(self.storage_path.parent, os.W_OK):
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raise PermissionError(f"No write permission for storage path: {self.storage_path}")
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except OSError as e:
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raise OSError(f"Failed to initialize storage path: {str(e)}")
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self.allow_reset = allow_reset
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self.embedder_config = embedder_config
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self.crew = crew
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self.agents = self._initialize_agents()
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def _initialize_agents(self) -> str:
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"""Initialize agent identifiers for storage.
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Returns:
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str: Underscore-joined string of sanitized agent role names
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"""
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if self.crew:
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return "_".join(
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[self._sanitize_role(agent.role) for agent in self.crew.agents]
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@@ -36,12 +66,27 @@ class BaseRAGStorage(ABC):
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@abstractmethod
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def _sanitize_role(self, role: str) -> str:
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"""Sanitizes agent roles to ensure valid directory names."""
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"""Sanitizes agent roles to ensure valid directory names.
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Args:
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role: The agent role name to sanitize
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Returns:
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str: Sanitized role name safe for use in paths
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"""
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pass
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@abstractmethod
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def save(self, value: Any, metadata: Dict[str, Any]) -> None:
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"""Save a value with metadata to the storage."""
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"""Save a value with metadata to the storage.
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Args:
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value: The value to store
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metadata: Additional metadata to store with the value
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Raises:
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OSError: If there is an error writing to storage
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"""
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pass
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@abstractmethod
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@@ -51,25 +96,55 @@ class BaseRAGStorage(ABC):
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limit: int = 3,
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filter: Optional[dict] = None,
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score_threshold: float = 0.35,
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) -> List[Any]:
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"""Search for entries in the storage."""
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) -> List[Dict[str, Any]]:
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"""Search for entries in the storage.
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Args:
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query: The search query string
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limit: Maximum number of results to return
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filter: Optional filter criteria
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score_threshold: Minimum similarity score threshold
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Returns:
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List[Dict[str, Any]]: List of matching entries with their metadata
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"""
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pass
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@abstractmethod
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def reset(self) -> None:
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"""Reset the storage."""
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"""Reset the storage.
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Raises:
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OSError: If there is an error clearing storage
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PermissionError: If reset is not allowed
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"""
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pass
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@abstractmethod
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def _generate_embedding(
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self, text: str, metadata: Optional[Dict[str, Any]] = None
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) -> Any:
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"""Generate an embedding for the given text and metadata."""
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) -> List[float]:
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"""Generate an embedding for the given text and metadata.
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Args:
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text: Text to generate embedding for
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metadata: Optional metadata to include in embedding
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Returns:
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List[float]: Vector embedding of the text
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Raises:
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ValueError: If text is empty or invalid
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"""
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pass
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@abstractmethod
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def _initialize_app(self):
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"""Initialize the vector db."""
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def _initialize_app(self) -> None:
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"""Initialize the vector db.
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Raises:
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OSError: If vector db initialization fails
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"""
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pass
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def setup_config(self, config: Dict[str, Any]):
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@@ -1,5 +1,7 @@
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import json
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import os
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import sqlite3
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from pathlib import Path
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from typing import Any, Dict, List, Optional
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from crewai.task import Task
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@@ -13,12 +15,30 @@ class KickoffTaskOutputsSQLiteStorage:
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An updated SQLite storage class for kickoff task outputs storage.
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"""
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def __init__(self, db_path: Optional[str] = None) -> None:
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self.db_path = (
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db_path
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if db_path
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else f"{db_storage_path()}/latest_kickoff_task_outputs.db"
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def __init__(self, storage_path: Optional[Path] = None) -> None:
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"""Initialize kickoff task outputs storage.
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Args:
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storage_path: Optional custom path for storage location
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Raises:
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PermissionError: If storage path is not writable
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OSError: If storage path cannot be created
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"""
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self.storage_path = (
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storage_path
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if storage_path
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else Path(f"{db_storage_path()}/latest_kickoff_task_outputs.db")
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)
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# Validate storage path
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try:
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self.storage_path.parent.mkdir(parents=True, exist_ok=True)
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if not os.access(self.storage_path.parent, os.W_OK):
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raise PermissionError(f"No write permission for storage path: {self.storage_path}")
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except OSError as e:
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raise OSError(f"Failed to initialize storage path: {str(e)}")
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self._printer: Printer = Printer()
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self._initialize_db()
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@@ -27,7 +47,7 @@ class KickoffTaskOutputsSQLiteStorage:
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Initializes the SQLite database and creates LTM table
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"""
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try:
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with sqlite3.connect(self.db_path) as conn:
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with sqlite3.connect(str(self.storage_path)) as conn:
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cursor = conn.cursor()
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cursor.execute(
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"""
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@@ -57,9 +77,21 @@ class KickoffTaskOutputsSQLiteStorage:
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task_index: int,
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was_replayed: bool = False,
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inputs: Dict[str, Any] = {},
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):
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) -> None:
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"""Add a task output to storage.
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Args:
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task: The task whose output is being stored
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output: The output data from the task
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task_index: Index of this task in the sequence
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was_replayed: Whether this was from a replay
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inputs: Optional input data that led to this output
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Raises:
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sqlite3.Error: If there is an error saving to database
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"""
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try:
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with sqlite3.connect(self.db_path) as conn:
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with sqlite3.connect(str(self.storage_path)) as conn:
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cursor = conn.cursor()
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cursor.execute(
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"""
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@@ -92,7 +124,7 @@ class KickoffTaskOutputsSQLiteStorage:
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Updates an existing row in the latest_kickoff_task_outputs table based on task_index.
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"""
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try:
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with sqlite3.connect(self.db_path) as conn:
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with sqlite3.connect(str(self.storage_path)) as conn:
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cursor = conn.cursor()
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fields = []
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@@ -121,7 +153,7 @@ class KickoffTaskOutputsSQLiteStorage:
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def load(self) -> Optional[List[Dict[str, Any]]]:
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try:
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with sqlite3.connect(self.db_path) as conn:
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with sqlite3.connect(str(self.storage_path)) as conn:
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cursor = conn.cursor()
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cursor.execute("""
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SELECT *
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@@ -157,7 +189,7 @@ class KickoffTaskOutputsSQLiteStorage:
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Deletes all rows from the latest_kickoff_task_outputs table.
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"""
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try:
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with sqlite3.connect(self.db_path) as conn:
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with sqlite3.connect(str(self.storage_path)) as conn:
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cursor = conn.cursor()
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cursor.execute("DELETE FROM latest_kickoff_task_outputs")
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conn.commit()
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@@ -1,5 +1,7 @@
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import json
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import os
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import sqlite3
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from pathlib import Path
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from typing import Any, Dict, List, Optional, Union
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from crewai.utilities import Printer
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@@ -11,10 +13,26 @@ class LTMSQLiteStorage:
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An updated SQLite storage class for LTM data storage.
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"""
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def __init__(self, db_path: Optional[str] = None) -> None:
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self.db_path = (
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db_path if db_path else f"{db_storage_path()}/latest_long_term_memories.db"
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)
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def __init__(self, storage_path: Optional[Path] = None) -> None:
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"""Initialize LTM SQLite storage.
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Args:
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storage_path: Optional custom path for storage location
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Raises:
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PermissionError: If storage path is not writable
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OSError: If storage path cannot be created
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"""
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self.storage_path = storage_path if storage_path else Path(f"{db_storage_path()}/latest_long_term_memories.db")
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# Validate storage path
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try:
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self.storage_path.parent.mkdir(parents=True, exist_ok=True)
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if not os.access(self.storage_path.parent, os.W_OK):
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raise PermissionError(f"No write permission for storage path: {self.storage_path}")
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except OSError as e:
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raise OSError(f"Failed to initialize storage path: {str(e)}")
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self._printer: Printer = Printer()
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self._initialize_db()
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@@ -23,7 +41,7 @@ class LTMSQLiteStorage:
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Initializes the SQLite database and creates LTM table
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"""
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try:
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with sqlite3.connect(self.db_path) as conn:
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with sqlite3.connect(str(self.storage_path)) as conn:
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cursor = conn.cursor()
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cursor.execute(
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"""
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@@ -51,9 +69,20 @@ class LTMSQLiteStorage:
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datetime: str,
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score: Union[int, float],
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) -> None:
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"""Save a memory entry to long-term memory.
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Args:
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task_description: Description of the task this memory relates to
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metadata: Additional data to store with the memory
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datetime: Timestamp for when this memory was created
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score: Relevance score for this memory (higher is more relevant)
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Raises:
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sqlite3.Error: If there is an error saving to the database
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"""
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"""Saves data to the LTM table with error handling."""
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try:
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with sqlite3.connect(self.db_path) as conn:
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with sqlite3.connect(str(self.storage_path)) as conn:
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cursor = conn.cursor()
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cursor.execute(
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"""
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@@ -74,7 +103,7 @@ class LTMSQLiteStorage:
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) -> Optional[List[Dict[str, Any]]]:
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"""Queries the LTM table by task description with error handling."""
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try:
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with sqlite3.connect(self.db_path) as conn:
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with sqlite3.connect(str(self.storage_path)) as conn:
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cursor = conn.cursor()
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cursor.execute(
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f"""
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@@ -109,7 +138,7 @@ class LTMSQLiteStorage:
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) -> None:
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"""Resets the LTM table with error handling."""
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try:
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with sqlite3.connect(self.db_path) as conn:
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with sqlite3.connect(str(self.storage_path)) as conn:
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cursor = conn.cursor()
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cursor.execute("DELETE FROM long_term_memories")
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conn.commit()
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