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import logging
import time
from concurrent.futures import ThreadPoolExecutor, TimeoutError as FuturesTimeoutError
from pathlib import Path
from typing import List, Optional, Dict, Iterator, Any, Union
import uuid
import threading
from config import CHATS_DATA_DIR, MAX_CHAT_HISTORY_TURNS, GROQ_API_KEYS
from app.models import ChatMessage, ChatHistory
from app.services.groq_service import GroqService
from app.services.realtime_service import RealtimeGroqService
from app.services.brain_service import BrainService
from app.utils.key_rotation import get_next_key_pair
logger = logging.getLogger("J.A.R.V.I.S")
JARVIS_BRAIN_SEARCH_TIMEOUT = 15
SAVE_EVERY_N_CHUNKS = 5
class ChatService:
def __init__(
self,
groq_service: GroqService,
realtime_service: RealtimeGroqService = None,
brain_service: BrainService = None,
):
self.groq_service = groq_service
self.realtime_service = realtime_service
self.brain_service = brain_service
self.sessions: Dict[str, List[ChatMessage]] = {}
self._save_lock = threading.Lock()
def load_session_from_disk(self, session_id: str) -> bool:
safe_session_id = session_id.replace("-", "").replace(" ", "_")
filename = f"chat_{safe_session_id}.json"
filepath = CHATS_DATA_DIR / filename
if not filepath.exists():
return False
try:
with open(filepath, "r", encoding="utf-8") as f:
chat_dict = json.load(f)
messages = []
for msg in chat_dict.get("messages", []):
if not isinstance(msg, dict):
continue
role = msg.get("role")
role = role if role in ("user", "assistant") else "user"
content = msg.get("content")
content = content if isinstance(content, str) else str(content or "")
messages.append(ChatMessage(role=role, content=content))
self.sessions[session_id] = messages
return True
except Exception as e:
logger.warning("Failed to load session %s from disk: %s", session_id, e)
return False
def validate_session_id(self, session_id: str) -> bool:
if not session_id or not session_id.strip():
return False
if "\0" in session_id:
return False
if ".." in session_id or "/" in session_id or "\\" in session_id:
return False
if len(session_id) > 255:
return False
return True
def get_or_create_session(self, session_id: Optional[str] = None) -> str:
t0 = time.perf_counter()
if not session_id:
new_session_id = str(uuid.uuid4())
self.sessions[new_session_id] = []
logger.info("[TIMING] session_get_or_create: %.3fs (new)", time.perf_counter() - t0)
return new_session_id
if not self.validate_session_id(session_id):
raise ValueError(
f"Invalid session_id format: {session_id}. Session ID must be non-empty, "
"not contain path traversal characters, and be under 255 characters."
)
if session_id in self.sessions:
logger.info("[TIMING] session_get_or_create: %.3fs (memory)", time.perf_counter() - t0)
return session_id
if self.load_session_from_disk(session_id):
logger.info("[TIMING] session_get_or_create: %.3fs (disk)", time.perf_counter() - t0)
return session_id
self.sessions[session_id] = []
logger.info("[TIMING] session_get_or_create: %.3fs (new_id)", time.perf_counter() - t0)
return session_id
def add_message(self, session_id: str, role: str, content: str):
if session_id not in self.sessions:
self.sessions[session_id] = []
self.sessions[session_id].append(ChatMessage(role=role, content=content))
def get_chat_history(self, session_id: str) -> List[ChatMessage]:
return self.sessions.get(session_id, [])
def format_history_for_llm(self, session_id: str, exclude_last: bool = False) -> List[tuple]:
messages = self.get_chat_history(session_id)
history = []
messages_to_process = messages[:-1] if exclude_last and messages else messages
i = 0
while i < len(messages_to_process) - 1:
user_msg = messages_to_process[i]
ai_msg = messages_to_process[i + 1]
if user_msg.role == "user" and ai_msg.role == "assistant":
u_content = user_msg.content if isinstance(user_msg.content, str) else str(user_msg.content or "")
a_content = ai_msg.content if isinstance(ai_msg.content, str) else str(ai_msg.content or "")
history.append((u_content, a_content))
i += 2
else:
i += 1
if len(history) > MAX_CHAT_HISTORY_TURNS:
history = history[-MAX_CHAT_HISTORY_TURNS:]
return history
def process_message(self, session_id: str, user_message: str) -> str:
logger.info("[GENERAL] Session: %s | User: %.200s", session_id[:12], user_message)
self.add_message(session_id, "user", user_message)
chat_history = self.format_history_for_llm(session_id, exclude_last=True)
logger.info("[GENERAL] History pairs sent to LLM: %d", len(chat_history))
_, chat_idx = get_next_key_pair(len(GROQ_API_KEYS), need_brain=False)
response = self.groq_service.get_response(question=user_message, chat_history=chat_history, key_start_index=chat_idx)
self.add_message(session_id, "assistant", response)
logger.info("[GENERAL] Response length: %d chars | Preview: %.120s", len(response), response)
return response
def process_realtime_message(self, session_id: str, user_message: str) -> str:
if not self.realtime_service:
raise ValueError("Realtime service is not initialized. Cannot process realtime queries.")
logger.info("[REALTIME] Session: %s | User: %.200s", session_id[:12], user_message)
self.add_message(session_id, "user", user_message)
chat_history = self.format_history_for_llm(session_id, exclude_last=True)
logger.info("[REALTIME] History pairs sent to LLM: %d", len(chat_history))
_, chat_idx = get_next_key_pair(len(GROQ_API_KEYS), need_brain=False)
response = self.realtime_service.get_response(question=user_message, chat_history=chat_history, key_start_index=chat_idx)
self.add_message(session_id, "assistant", response)
logger.info("[REALTIME] Response length: %d chars | Preview: %.120s", len(response), response)
return response
def process_message_stream(
self, session_id: str, user_message: str
) -> Iterator[Union[str, Dict[str, Any]]]:
logger.info("[GENERAL-STREAM] Session: %s | User: %.200s", session_id[:12], user_message)
self.add_message(session_id, "user", user_message)
self.add_message(session_id, "assistant", "")
chat_history = self.format_history_for_llm(session_id, exclude_last=True)
logger.info("[GENERAL-STREAM] History pairs sent to LLM: %d", len(chat_history))
yield {"_activity": {"event": "query_detected", "message": user_message}}
yield {"_activity": {"event": "routing", "route": "general"}}
yield {"_activity": {"event": "streaming_started", "route": "general"}}
_, chat_idx = get_next_key_pair(len(GROQ_API_KEYS), need_brain=False)
chunk_count = 0
t0 = time.perf_counter()
try:
for chunk in self.groq_service.stream_response(
question=user_message, chat_history=chat_history, key_start_index=chat_idx
):
if isinstance(chunk, dict):
yield chunk
continue
if chunk_count == 0:
elapsed_ms = int((time.perf_counter() - t0) * 1000)
yield {"_activity": {"event": "first_chunk", "route": "general", "elapsed_ms": elapsed_ms}}
self.sessions[session_id][-1].content += chunk
chunk_count += 1
if chunk_count % SAVE_EVERY_N_CHUNKS == 0:
self.save_chat_session(session_id, log_timing=False)
yield chunk
finally:
final_response = self.sessions[session_id][-1].content
logger.info("[GENERAL-STREAM] Completed | Chunks: %d | Response length: %d chars", chunk_count, len(final_response))
self.save_chat_session(session_id)
def process_realtime_message_stream(
self, session_id: str, user_message: str
) -> Iterator[Union[str, Dict[str, Any]]]:
if not self.realtime_service:
raise ValueError("Realtime service is not initialized.")
logger.info("[REALTIME-STREAM] Session: %s | User: %.200s", session_id[:12], user_message)
self.add_message(session_id, "user", user_message)
self.add_message(session_id, "assistant", "")
chat_history = self.format_history_for_llm(session_id, exclude_last=True)
logger.info("[REALTIME-STREAM] History pairs sent to LLM: %d", len(chat_history))
yield {"_activity": {"event": "query_detected", "message": user_message}}
yield {"_activity": {"event": "routing", "route": "realtime"}}
yield {"_activity": {"event": "streaming_started", "route": "realtime"}}
_, chat_idx = get_next_key_pair(len(GROQ_API_KEYS), need_brain=False)
chunk_count = 0
t0 = time.perf_counter()
try:
for chunk in self.realtime_service.stream_response(
question=user_message, chat_history=chat_history, key_start_index=chat_idx
):
if isinstance(chunk, dict):
yield chunk
continue
if chunk_count == 0:
elapsed_ms = int((time.perf_counter() - t0) * 1000)
yield {"_activity": {"event": "first_chunk", "route": "realtime", "elapsed_ms": elapsed_ms}}
self.sessions[session_id][-1].content += chunk
chunk_count += 1
if chunk_count % SAVE_EVERY_N_CHUNKS == 0:
self.save_chat_session(session_id, log_timing=False)
yield chunk
finally:
final_response = self.sessions[session_id][-1].content
logger.info("[REALTIME-STREAM] Completed | Chunks: %d | Response length: %d chars", chunk_count, len(final_response))
self.save_chat_session(session_id)
def process_jarvis_message_stream(
self, session_id: str, user_message: str
) -> Iterator[Union[str, Dict[str, Any]]]:
logger.info("[JARVIS-STREAM] Session: %s | User: %.200s", session_id[:12], user_message)
self.add_message(session_id, "user", user_message)
self.add_message(session_id, "assistant", "")
chat_history = self.format_history_for_llm(session_id, exclude_last=True)
yield {"_activity": {"event": "query_detected", "message": user_message}}
brain_idx, chat_idx = get_next_key_pair(len(GROQ_API_KEYS), need_brain=True)
query_type = "realtime"
reasoning = "Defaulting to realtime"
brain_elapsed_ms = 0
formatted_results = ""
search_payload = None
def _run_brain():
if self.brain_service and brain_idx is not None:
qt, r, ms = self.brain_service.classify(user_message, chat_history, key_index=brain_idx)
return (qt, r, ms)
return ("realtime", "No brain service", 0)
def _run_search():
if self.realtime_service:
return self.realtime_service.prefetch_web_search(user_message, chat_history)
return ("", None)
with ThreadPoolExecutor(max_workers=2) as executor:
future_brain = executor.submit(_run_brain)
future_search = executor.submit(_run_search)
try:
query_type, reasoning, brain_elapsed_ms = future_brain.result(timeout=JARVIS_BRAIN_SEARCH_TIMEOUT)
except FuturesTimeoutError:
logger.warning("[JARVIS] Brain classification timed out after %ds, defaulting to realtime", JARVIS_BRAIN_SEARCH_TIMEOUT)
query_type, reasoning, brain_elapsed_ms = "realtime", "Brain timeout, defaulting to realtime", 0
if query_type == "general":
formatted_results, search_payload = "", None
else:
try:
formatted_results, search_payload = future_search.result(timeout=JARVIS_BRAIN_SEARCH_TIMEOUT)
except FuturesTimeoutError:
logger.warning("[JARVIS] Web search prefetch timed out after %ds", JARVIS_BRAIN_SEARCH_TIMEOUT)
formatted_results, search_payload = "", None
logger.info("[JARVIS] Brain: %s in %d ms - %s", query_type, brain_elapsed_ms, reasoning)
yield {"_activity": {"event": "decision", "query_type": query_type, "reasoning": reasoning, "elapsed_ms": brain_elapsed_ms}}
yield {"_activity": {"event": "routing", "route": query_type}}
if query_type == "realtime" and search_payload:
yield {"_search_results": search_payload}
yield {"_activity": {"event": "streaming_started", "route": query_type}}
chunk_count = 0
t0 = time.perf_counter()
try:
if query_type == "general":
stream = self.groq_service.stream_response(
question=user_message, chat_history=chat_history, key_start_index=chat_idx
)
else:
if not self.realtime_service:
raise ValueError("Realtime service not initialized.")
stream = self.realtime_service.stream_response_with_prefetched(
question=user_message,
chat_history=chat_history,
formatted_results=formatted_results,
payload=search_payload,
key_start_index=chat_idx,
)
for chunk in stream:
if isinstance(chunk, dict):
yield chunk
continue
if chunk_count == 0:
elapsed_ms = int((time.perf_counter() - t0) * 1000)
yield {"_activity": {"event": "first_chunk", "route": query_type, "elapsed_ms": elapsed_ms}}
self.sessions[session_id][-1].content += chunk
chunk_count += 1
if chunk_count % SAVE_EVERY_N_CHUNKS == 0:
self.save_chat_session(session_id, log_timing=False)
yield chunk
finally:
final_response = self.sessions[session_id][-1].content
logger.info("[JARVIS-STREAM] Completed | Route: %s | Chunks: %d | Response length: %d chars",
query_type, chunk_count, len(final_response))
self.save_chat_session(session_id)
def save_chat_session(self, session_id: str, log_timing: bool = True):
if session_id not in self.sessions or not self.sessions[session_id]:
return
messages = self.sessions[session_id]
safe_session_id = session_id.replace("-", "").replace(" ", "_")
filename = f"chat_{safe_session_id}.json"
filepath = CHATS_DATA_DIR / filename
chat_dict = {
"session_id": session_id,
"messages": [{"role": msg.role, "content": msg.content} for msg in messages]
}
max_retries = 3
last_exc = None
for attempt in range(max_retries):
try:
with self._save_lock:
t0 = time.perf_counter() if log_timing else 0
with open(filepath, "w", encoding="utf-8") as f:
json.dump(chat_dict, f, indent=2, ensure_ascii=False)
if log_timing:
logger.info("[TIMING] save_session_json: %.3fs", time.perf_counter() - t0)
return
except OSError as e:
last_exc = e
if attempt < max_retries - 1:
time.sleep(0.1 * (attempt + 1))
except Exception as e:
logger.error("Failed to save chat session %s to disk: %s", session_id, e)
return
logger.error("Failed to save chat session %s after %d retries: %s", session_id, max_retries, last_exc) |