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import shutil
import uuid
import time
from datetime import datetime
import logging
from typing import Optional, Dict, Any
import glob
import re
import numpy as np
logger = logging.getLogger(__name__)
class WorldState:
"""
Structured situational memory (The sentinel Mirror).
Tracks persistent entities, environmental conditions, and mission facts.
"""
def __init__(self, session_id: str):
self.session_id = session_id
self.last_update = time.time()
# ββ The Entity Mirror (The core of reality) ββ
# List of Entities. Each entity is a dict:
# {
# "id": int,
# "type": str,
# "attributes": dict,
# "state": str,
# "last_seen": float,
# "confidence": float,
# "history": List[Dict] # Temporal trail of [state, attributes, timestamp]
# }
self.entities = []
self.event_history = [] # Global timeline of significant semantic changes
# ββ Environmental Context ββ
self.lighting = "unknown"
self.noise_level = 0.0
self.spatial_context = "unknown" # e.g., 'corridor', 'outside'
# ββ Mission Logic ββ
self.target_status = "searching" # searching, visible, occluded, lost
self.active_strategies = []
self.diagnostics = {}
self.confidence_history = []
def log_event(self, text: str, event_type: str = "semantic"):
"""Appends a timestamped event to the global history."""
self.event_history.append({
"timestamp": time.time(),
"type": event_type,
"text": text
})
# Increased capacity for long research sessions
if len(self.event_history) > 200:
self.event_history.pop(0)
def get_events_near(self, target_ts: float, count: int = 5) -> list:
"""Returns the `count` closest events to a target timestamp."""
if not self.event_history:
return []
# Sort by distance to target
scored = [(abs(e["timestamp"] - target_ts), e) for e in self.event_history]
scored.sort(key=lambda x: x[0])
return [e for _, e in scored[:count]]
def get_timeline(self, window_seconds: int = 60, anchor_ts: float = None) -> str:
"""Returns a formatted string of events.
Uses anchor_ts (last event time) instead of wall clock to survive restarts.
"""
# Use the last event's timestamp as anchor, NOT time.time()
if anchor_ts is None:
if self.event_history:
anchor_ts = self.event_history[-1]["timestamp"]
else:
anchor_ts = time.time()
start_ts = anchor_ts - window_seconds
# 1. SCENE CONTEXT
now = time.time()
active_entities = [e for e in self.entities if now - e.get("last_seen", 0) < 30]
context_lines = []
if active_entities:
type_counts = {}
for e in active_entities:
t = e["type"]
type_counts[t] = type_counts.get(t, 0) + 1
summary_parts = [f"{count} {t}" for t, count in type_counts.items()]
context_lines.append(f"[CURRENT SCENE CONTEXT]")
context_lines.append(f"Currently in view: {', '.join(summary_parts)}")
context_lines.append("")
# 2. RECENT EVENTS (anchored to last observation, not wall clock)
relevant = [e for e in self.event_history if e["timestamp"] >= start_ts]
event_lines = []
for e in relevant:
dt = datetime.fromtimestamp(e["timestamp"]).strftime("%H:%M:%S")
# Add human-readable time-ago
ago = int(anchor_ts - e["timestamp"])
ago_str = f"{ago}s ago" if ago < 60 else f"{ago // 60}m {ago % 60}s ago"
event_lines.append(f"[{dt}] ({ago_str}) {e['text']}")
if not event_lines:
event_lines.append(f"No observations recorded in the last {window_seconds}s.")
output = context_lines + ["[RECENT LOGGED EVENTS]"] + event_lines
return "\n".join(output)
def to_dict(self) -> Dict[str, Any]:
return self.__dict__
@classmethod
def from_dict(cls, data: Dict[str, Any]):
ws = cls(data.get("session_id", "unknown"))
ws.__dict__.update(data)
return ws
# Build absolute path to sessions folder relative to this file
_BACKEND_ROOT = os.path.dirname(os.path.abspath(__file__))
DEFAULT_SESSIONS_DIR = os.path.join(_BACKEND_ROOT, "sessions")
class SessionManager:
def __init__(self, base_dir=DEFAULT_SESSIONS_DIR, max_sessions=50, ttl_seconds=86400):
self.base_dir = base_dir
self.max_sessions = max_sessions
self.ttl_seconds = ttl_seconds
self.active_session_id: Optional[str] = None # Tracks user's chosen session
os.makedirs(self.base_dir, exist_ok=True)
self.cleanup()
def set_active_session(self, session_id: str):
"""Set the user's chosen active session. Called from the frontend dropdown."""
if os.path.exists(self.get_session_path(session_id)):
self.active_session_id = session_id
logger.info(f"[SESSION] Active session set to: {session_id}")
return True
return False
def get_or_create_session(self, session_id: Optional[str] = None) -> str:
"""Returns existing session or creates a new one.
Priority: explicit session_id > active_session_id > create new.
"""
# Sanitize common string representations of null from frontend
if isinstance(session_id, str):
if session_id.lower().strip() in ["", "none", "null", "undefined"]:
session_id = None
# 1. Use explicit session_id if it exists on disk
if session_id and os.path.exists(self.get_session_path(session_id)):
return session_id
# 2. Use the user's chosen active session (set via dropdown)
if not session_id and self.active_session_id:
if os.path.exists(self.get_session_path(self.active_session_id)):
return self.active_session_id
# 3. Create a new session as last resort
new_id = self.create_session(session_id)
self.active_session_id = new_id # Auto-activate newly created sessions
return new_id
def create_session(self, session_id: Optional[str] = None) -> str:
"""Creates a new session directory and returns the session_id."""
if not session_id:
session_id = str(uuid.uuid4())
session_path = os.path.join(self.base_dir, session_id)
os.makedirs(session_path, exist_ok=True)
# Create subdirs for media types
os.makedirs(os.path.join(session_path, "frames"), exist_ok=True)
os.makedirs(os.path.join(session_path, "audio"), exist_ok=True)
# Initialize world state
self.update_world_state(session_id, WorldState(session_id))
# Touch metadata file to track time
with open(os.path.join(session_path, "metadata.txt"), "w") as f:
f.write(f"Created: {datetime.now().isoformat()}")
self.cleanup() # Run cleanup on every new session creation
return session_id
def update_world_state(self, session_id: str, state: WorldState):
"""Persists structured state into session storage."""
session_path = self.get_session_path(session_id)
if not os.path.exists(session_path): return
state_path = os.path.join(session_path, "world_state.json")
import json
with open(state_path, "w") as f:
json.dump(state.to_dict(), f)
def get_world_state(self, session_id: str) -> WorldState:
"""Retrieves the latest world state."""
session_path = self.get_session_path(session_id)
state_path = os.path.join(session_path, "world_state.json")
if os.path.exists(state_path):
import json
try:
with open(state_path, "r") as f:
data = json.load(f)
return WorldState.from_dict(data)
except: pass
return WorldState(session_id)
def update_sensory_memory(self, session_id: str, new_data: Dict[str, Any]):
"""DEPRECATED: Use update_world_state. Keeps compatibility for now."""
ws = self.get_world_state(session_id)
ws.diagnostics.update(new_data)
self.update_world_state(session_id, ws)
def get_sensory_memory(self, session_id: str) -> Dict[str, Any]:
"""DEPRECATED: Use get_world_state. Returns diagnostics."""
ws = self.get_world_state(session_id)
return ws.diagnostics
def get_session_path(self, session_id: str) -> str:
return os.path.join(self.base_dir, session_id)
def save_frame(self, session_id: str, frame_data, timestamp: float):
"""Saves a frame to the session directory (Throttled by Orchestrator)."""
session_path = self.get_session_path(session_id)
if not os.path.exists(session_path):
return False
frames_dir = os.path.join(session_path, "frames")
os.makedirs(frames_dir, exist_ok=True)
frame_name = f"frame_{int(timestamp*1000)}.jpg"
frame_path = os.path.join(frames_dir, frame_name)
try:
# Assuming frame_data is a numpy array (OpenCV) or PIL image
if hasattr(frame_data, "save"): # PIL
frame_data.save(frame_path)
elif isinstance(frame_data, np.ndarray):
import cv2
# OpenCV handles numpy arrays directly
success = cv2.imwrite(frame_path, frame_data)
if not success:
logger.warning(f"[SESSION] cv2.imwrite failed for {frame_path}")
return False
else:
logger.warning(f"[SESSION] Unsupported frame data type: {type(frame_data)}")
return False
return frame_path
except Exception as e:
logger.error(f"[SESSION] Error saving frame: {e}")
return False
def get_historic_frame(self, session_id: str, timestamp: float) -> Optional[str]:
"""
Finds the frame closest to the requested timestamp.
"""
session_path = self.get_session_path(session_id)
frames_dir = os.path.join(session_path, "frames")
if not os.path.exists(frames_dir): return None
frames = glob.glob(os.path.join(frames_dir, "frame_*.jpg"))
if not frames: return None
# Convert filenames back to timestamps for comparison
target_ms = int(timestamp * 1000)
closest_frame = min(frames, key=lambda f: abs(int(re.search(r'frame_(\d+)', f).group(1)) - target_ms))
# Only return if within a reasonable window (e.g. 30 seconds)
found_ms = int(re.search(r'frame_(\d+)', closest_frame).group(1))
if abs(found_ms - target_ms) > 30000:
logger.warning(f"[SESSION] No frame found within 30s window of {timestamp}")
return None
return closest_frame
def log_session_event(self, session_id: str, text: str, event_type: str = "semantic"):
"""Adds an event to a session's world state and persists it."""
ws = self.get_world_state(session_id)
ws.log_event(text, event_type)
self.update_world_state(session_id, ws)
def get_session_timeline(self, session_id: str, window_seconds: int = 60) -> str:
"""Retrieves formatted timeline from world state."""
ws = self.get_world_state(session_id)
return ws.get_timeline(window_seconds)
def get_historic_audio_context(self, session_id: str, timestamp: float, window: int = 15) -> str:
"""
[STUB] Retrieves audio transcripts or events from memory within a window.
"""
# For now, we'll return the general mission finding context if relevant
return ""
def save_audio_segment(self, session_id: str, audio_data, start_time: float):
"""Saves an audio segment to the session directory."""
session_path = self.get_session_path(session_id)
if not os.path.exists(session_path):
return False
audio_name = f"audio_{int(start_time*1000)}.wav"
audio_path = os.path.join(session_path, "audio", audio_name)
# logic to save audio file would go here
return audio_path
def cleanup(self):
"""Deletes old sessions based on TTL and count limit."""
try:
now = time.time()
sessions = []
for d in os.listdir(self.base_dir):
p = os.path.join(self.base_dir, d)
if os.path.isdir(p):
mtime = os.path.getmtime(p)
sessions.append((d, p, mtime))
# Sort by time (oldest first)
sessions.sort(key=lambda x: x[2])
# 1. Cleanup by TTL
for sid, path, mtime in sessions:
if now - mtime > self.ttl_seconds:
logger.info(f"Cleaning up expired session: {sid}")
shutil.rmtree(path)
sessions.remove((sid, path, mtime))
# 2. Cleanup by Count Limit
while len(sessions) > self.max_sessions:
sid, path, mtime = sessions.pop(0)
logger.info(f"Cleaning up session (limit reached): {sid}")
shutil.rmtree(path)
except Exception as e:
logger.error(f"Error during SessionManager cleanup: {e}")
# Global instance
session_manager = SessionManager()
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