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Timmy-time-dashboard/src/dashboard/routes/chat_api.py

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"""JSON REST API for mobile / external chat clients.
Claude/remove persona system f vgt m (#126) * Remove persona system, identity, and all Timmy references Strip the codebase to pure orchestration logic: - Delete TIMMY_IDENTITY.md and memory/self/identity.md - Gut brain/identity.py to no-op stubs (empty returns) - Remove all system prompts reinforcing Timmy's character, faith, sovereignty, sign-off ("Sir, affirmative"), and agent roster - Replace identity-laden prompts with generic local-AI-assistant prompts - Remove "You work for Timmy" from all sub-agent system prompts - Rename PersonaTools → AgentTools, PERSONA_TOOLKITS → AGENT_TOOLKITS - Replace "timmy" agent ID with "orchestrator" across routes, marketplace, tools catalog, and orchestrator class - Strip Timmy references from config comments, templates, telegram bot, chat API, and dashboard UI - Delete tests/brain/test_identity.py entirely - Fix all test assertions that checked for persona identity content 729 tests pass (2 pre-existing failures in test_calm.py unrelated). https://claude.ai/code/session_01LjQGUE6nk9W9674zaxrYxy * Add Taskosaur (PM + AI task execution) to docker-compose Spins up Taskosaur alongside the dashboard on `docker compose up`: - postgres:16-alpine (port 5432, Taskosaur DB) - redis:7-alpine (Bull queue backend) - taskosaur (ports 3000 API / 3001 UI) - dashboard now depends_on taskosaur healthy - TASKOSAUR_API_URL injected into dashboard environment Dashboard can reach Taskosaur at http://taskosaur:3000/api on the internal network. Frontend UI accessible at http://localhost:3001. https://claude.ai/code/session_01LjQGUE6nk9W9674zaxrYxy --------- Co-authored-by: Claude <noreply@anthropic.com>
2026-03-04 12:00:49 -05:00
Provides the same chat experience as the HTMX dashboard but over
a JSON interface that React Native (or any HTTP client) can consume.
Endpoints:
Claude/remove persona system f vgt m (#126) * Remove persona system, identity, and all Timmy references Strip the codebase to pure orchestration logic: - Delete TIMMY_IDENTITY.md and memory/self/identity.md - Gut brain/identity.py to no-op stubs (empty returns) - Remove all system prompts reinforcing Timmy's character, faith, sovereignty, sign-off ("Sir, affirmative"), and agent roster - Replace identity-laden prompts with generic local-AI-assistant prompts - Remove "You work for Timmy" from all sub-agent system prompts - Rename PersonaTools → AgentTools, PERSONA_TOOLKITS → AGENT_TOOLKITS - Replace "timmy" agent ID with "orchestrator" across routes, marketplace, tools catalog, and orchestrator class - Strip Timmy references from config comments, templates, telegram bot, chat API, and dashboard UI - Delete tests/brain/test_identity.py entirely - Fix all test assertions that checked for persona identity content 729 tests pass (2 pre-existing failures in test_calm.py unrelated). https://claude.ai/code/session_01LjQGUE6nk9W9674zaxrYxy * Add Taskosaur (PM + AI task execution) to docker-compose Spins up Taskosaur alongside the dashboard on `docker compose up`: - postgres:16-alpine (port 5432, Taskosaur DB) - redis:7-alpine (Bull queue backend) - taskosaur (ports 3000 API / 3001 UI) - dashboard now depends_on taskosaur healthy - TASKOSAUR_API_URL injected into dashboard environment Dashboard can reach Taskosaur at http://taskosaur:3000/api on the internal network. Frontend UI accessible at http://localhost:3001. https://claude.ai/code/session_01LjQGUE6nk9W9674zaxrYxy --------- Co-authored-by: Claude <noreply@anthropic.com>
2026-03-04 12:00:49 -05:00
POST /api/chat send a message, get the agent's reply
POST /api/upload upload a file attachment
GET /api/chat/history retrieve recent chat history
DELETE /api/chat/history clear chat history
"""
import logging
import os
import uuid
from datetime import datetime
from pathlib import Path
from fastapi import APIRouter, File, HTTPException, Request, UploadFile
from fastapi.responses import JSONResponse
from config import settings
from dashboard.store import message_log
from timmy.session import chat as agent_chat
logger = logging.getLogger(__name__)
router = APIRouter(prefix="/api", tags=["chat-api"])
_UPLOAD_DIR = str(Path(settings.repo_root) / "data" / "chat-uploads")
_MAX_UPLOAD_SIZE = 50 * 1024 * 1024 # 50 MB
# ── POST /api/chat — helpers ─────────────────────────────────────────────────
async def _parse_chat_body(request: Request) -> tuple[dict | None, JSONResponse | None]:
"""Parse and validate the JSON request body.
Returns (body, None) on success or (None, error_response) on failure.
"""
content_length = request.headers.get("content-length")
if content_length and int(content_length) > settings.chat_api_max_body_bytes:
return None, JSONResponse(status_code=413, content={"error": "Request body too large"})
try:
body = await request.json()
except Exception as exc:
logger.warning("Chat API JSON parse error: %s", exc)
return None, JSONResponse(status_code=400, content={"error": "Invalid JSON"})
messages = body.get("messages")
if not messages or not isinstance(messages, list):
return None, JSONResponse(status_code=400, content={"error": "messages array is required"})
return body, None
def _extract_user_message(messages: list[dict]) -> str | None:
"""Return the text of the last user message, or *None* if absent."""
for msg in reversed(messages):
if msg.get("role") == "user":
content = msg.get("content", "")
if isinstance(content, list):
text_parts = [
p.get("text", "")
for p in content
if isinstance(p, dict) and p.get("type") == "text"
]
return " ".join(text_parts).strip() or None
text = str(content).strip()
return text or None
return None
def _build_context_prefix() -> str:
"""Build the system-context preamble injected before the user message."""
now = datetime.now()
return (
f"[System: Current date/time is "
f"{now.strftime('%A, %B %d, %Y at %I:%M %p')}]\n"
f"[System: Mobile client]\n\n"
)
def _notify_thinking_engine() -> None:
"""Record user activity so the thinking engine knows we're not idle."""
try:
from timmy.thinking import thinking_engine
thinking_engine.record_user_input()
except Exception:
logger.debug("Failed to record user input for thinking engine")
async def _process_chat(user_msg: str) -> dict | JSONResponse:
"""Send *user_msg* to the agent, log the exchange, and return a response."""
_notify_thinking_engine()
timestamp = datetime.now().strftime("%H:%M:%S")
try:
response_text = await agent_chat(
_build_context_prefix() + user_msg,
session_id="mobile",
)
message_log.append(role="user", content=user_msg, timestamp=timestamp, source="api")
message_log.append(role="agent", content=response_text, timestamp=timestamp, source="api")
return {"reply": response_text, "timestamp": timestamp}
except Exception as exc:
Claude/remove persona system f vgt m (#126) * Remove persona system, identity, and all Timmy references Strip the codebase to pure orchestration logic: - Delete TIMMY_IDENTITY.md and memory/self/identity.md - Gut brain/identity.py to no-op stubs (empty returns) - Remove all system prompts reinforcing Timmy's character, faith, sovereignty, sign-off ("Sir, affirmative"), and agent roster - Replace identity-laden prompts with generic local-AI-assistant prompts - Remove "You work for Timmy" from all sub-agent system prompts - Rename PersonaTools → AgentTools, PERSONA_TOOLKITS → AGENT_TOOLKITS - Replace "timmy" agent ID with "orchestrator" across routes, marketplace, tools catalog, and orchestrator class - Strip Timmy references from config comments, templates, telegram bot, chat API, and dashboard UI - Delete tests/brain/test_identity.py entirely - Fix all test assertions that checked for persona identity content 729 tests pass (2 pre-existing failures in test_calm.py unrelated). https://claude.ai/code/session_01LjQGUE6nk9W9674zaxrYxy * Add Taskosaur (PM + AI task execution) to docker-compose Spins up Taskosaur alongside the dashboard on `docker compose up`: - postgres:16-alpine (port 5432, Taskosaur DB) - redis:7-alpine (Bull queue backend) - taskosaur (ports 3000 API / 3001 UI) - dashboard now depends_on taskosaur healthy - TASKOSAUR_API_URL injected into dashboard environment Dashboard can reach Taskosaur at http://taskosaur:3000/api on the internal network. Frontend UI accessible at http://localhost:3001. https://claude.ai/code/session_01LjQGUE6nk9W9674zaxrYxy --------- Co-authored-by: Claude <noreply@anthropic.com>
2026-03-04 12:00:49 -05:00
error_msg = f"Agent is offline: {exc}"
logger.error("api_chat error: %s", exc)
message_log.append(role="user", content=user_msg, timestamp=timestamp, source="api")
message_log.append(role="error", content=error_msg, timestamp=timestamp, source="api")
return JSONResponse(
status_code=503,
content={"error": error_msg, "timestamp": timestamp},
)
# ── POST /api/chat ────────────────────────────────────────────────────────────
@router.post("/chat")
async def api_chat(request: Request):
"""Accept a JSON chat payload and return the agent's reply.
Request body:
{"messages": [{"role": "user"|"assistant", "content": "..."}]}
Response:
{"reply": "...", "timestamp": "HH:MM:SS"}
"""
body, err = await _parse_chat_body(request)
if err:
return err
user_msg = _extract_user_message(body["messages"])
if not user_msg:
return JSONResponse(status_code=400, content={"error": "No user message found"})
return await _process_chat(user_msg)
# ── POST /api/upload ──────────────────────────────────────────────────────────
@router.post("/upload")
async def api_upload(file: UploadFile = File(...)):
"""Accept a file upload and return its URL.
Response:
{"url": "/static/chat-uploads/...", "fileName": "...", "mimeType": "..."}
"""
os.makedirs(_UPLOAD_DIR, exist_ok=True)
suffix = uuid.uuid4().hex[:12]
safe_name = os.path.basename(file.filename or "upload")
stored_name = f"{suffix}-{safe_name}"
file_path = os.path.join(_UPLOAD_DIR, stored_name)
# Defense-in-depth: verify resolved path stays within upload directory
resolved = Path(file_path).resolve()
upload_root = Path(_UPLOAD_DIR).resolve()
if not str(resolved).startswith(str(upload_root)):
raise HTTPException(status_code=400, detail="Invalid file name")
contents = await file.read()
if len(contents) > _MAX_UPLOAD_SIZE:
raise HTTPException(status_code=413, detail="File too large (max 50 MB)")
with open(file_path, "wb") as f:
f.write(contents)
# Return a URL the mobile app can reference
url = f"/uploads/{stored_name}"
return {
"url": url,
"fileName": file.filename or "upload",
"mimeType": file.content_type or "application/octet-stream",
}
# ── GET /api/chat/history ────────────────────────────────────────────────────
@router.get("/chat/history")
async def api_chat_history():
"""Return the in-memory chat history as JSON."""
return {
"messages": [
{
"role": msg.role,
"content": msg.content,
"timestamp": msg.timestamp,
"source": msg.source,
}
for msg in message_log.all()
]
}
# ── DELETE /api/chat/history ──────────────────────────────────────────────────
@router.delete("/chat/history")
async def api_clear_history():
"""Clear the in-memory chat history."""
message_log.clear()
return {"success": True}