From dbc97bddee3e7e95648eadcf8edde69960b78bc8 Mon Sep 17 00:00:00 2001 From: HRiggs Date: Tue, 5 May 2026 19:45:12 -0400 Subject: [PATCH] Inital Commit --- .env.example | 8 + .gitignore | 56 +++ INSTRUCTIONS.md | 2 - README.md | 65 ++++ data/traderai.sqlite3 | Bin 0 -> 53248 bytes pyproject.toml | 26 ++ tests/test_agent.py | 63 ++++ tests/test_memory.py | 27 ++ tests/test_tools.py | 83 +++++ traderai/__init__.py | 1 + traderai/agent.py | 344 +++++++++++++++++++ traderai/config.py | 22 ++ traderai/memory.py | 378 +++++++++++++++++++++ traderai/scheduler.py | 79 +++++ traderai/server.py | 143 ++++++++ traderai/tools.py | 357 ++++++++++++++++++++ traderai/uex_client.py | 62 ++++ uv.lock | 747 +++++++++++++++++++++++++++++++++++++++++ web/app.js | 341 +++++++++++++++++++ web/index.html | 53 +++ web/styles.css | 383 +++++++++++++++++++++ 21 files changed, 3238 insertions(+), 2 deletions(-) create mode 100644 .env.example create mode 100644 .gitignore delete mode 100644 INSTRUCTIONS.md create mode 100644 README.md create mode 100644 data/traderai.sqlite3 create mode 100644 pyproject.toml create mode 100644 tests/test_agent.py create mode 100644 tests/test_memory.py create mode 100644 tests/test_tools.py create mode 100644 traderai/__init__.py create mode 100644 traderai/agent.py create mode 100644 traderai/config.py create mode 100644 traderai/memory.py create mode 100644 traderai/scheduler.py create mode 100644 traderai/server.py create mode 100644 traderai/tools.py create mode 100644 traderai/uex_client.py create mode 100644 uv.lock create mode 100644 web/app.js create mode 100644 web/index.html create mode 100644 web/styles.css diff --git a/.env.example b/.env.example new file mode 100644 index 0000000..1d9d7a5 --- /dev/null +++ b/.env.example @@ -0,0 +1,8 @@ +OLLAMA_BASE_URL=http://localhost:11434 +OLLAMA_MODEL=qwen3.5:9b +UEX_BASE_URL=https://api.uexcorp.space/2.0 +UEX_SECRET_KEY= +UEX_BEARER_TOKEN= +TRADERAI_USER_NAME= +TRADERAI_MEMORY_PATH=data/traderai.sqlite3 +REQUIRE_WRITE_APPROVAL=true diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..95b7750 --- /dev/null +++ b/.gitignore @@ -0,0 +1,56 @@ +# Environment and secrets +.env +.env.* +!.env.example + +# Python +__pycache__/ +*.py[cod] +*$py.class +.python-version +.venv/ +venv/ +env/ +ENV/ + +# Python packaging and build output +build/ +dist/ +*.egg-info/ +.eggs/ +pip-wheel-metadata/ + +# Test and coverage output +.pytest_cache/ +.coverage +.coverage.* +htmlcov/ +coverage.xml + +# Type checker and linter caches +.mypy_cache/ +.ruff_cache/ +.pyre/ +.pytype/ + +# FastAPI/Uvicorn/runtime files +*.log +*.pid + +# Frontend dependencies and build artifacts +node_modules/ +npm-debug.log* +yarn-debug.log* +yarn-error.log* +pnpm-debug.log* +web/dist/ +web/build/ + +# IDE and OS files +.idea/ +.vscode/ +*.swp +*.swo +.DS_Store +Thumbs.db +desktop.ini diff --git a/INSTRUCTIONS.md b/INSTRUCTIONS.md deleted file mode 100644 index 86e27e9..0000000 --- a/INSTRUCTIONS.md +++ /dev/null @@ -1,2 +0,0 @@ -Use the UEX API spefications at https://app.swaggerhub.com/apis-docs/dolejska-daniel/UEX-API/v2.1#/Static/get_data_parameters. -I want a ollama powered chat bot that can search marketplace listings on UEX, respond to messages regarding them, make offers etc. I will use a local model for this. \ No newline at end of file diff --git a/README.md b/README.md new file mode 100644 index 0000000..da46913 --- /dev/null +++ b/README.md @@ -0,0 +1,65 @@ +# TraderAI + +Local Ollama-powered chat for UEX marketplace workflows. + +## What It Does + +- Searches active UEX marketplace listings through `GET /marketplace_listings/`. +- Reads authenticated marketplace negotiations and negotiation messages when `UEX_SECRET_KEY` or `UEX_BEARER_TOKEN` is set. +- Drafts negotiation messages and marketplace listings as pending actions. +- Requires browser approval before sending authenticated write requests to UEX. +- Maintains local SQLite memory with searchable recall for user facts, preferences, and prior chat context. +- Can create one-time or recurring wake jobs that prompt the assistant later and surface the result in the UI. +- Loads the configured UEX user profile from `GET /user` so the assistant knows the current account username, display name, timezone, language, and marketplace-relevant profile details. + +## Setup + +1. Install Python 3.11+. +2. Install Ollama and pull a tool-capable model, for example: + + ```powershell + ollama pull qwen3.5:9b + ``` + +3. Create `.env` from `.env.example` and set `UEX_SECRET_KEY` and/or `UEX_BEARER_TOKEN` if you want authenticated actions. +4. Install and run: + + ```powershell + pip install -e . + uvicorn traderai.server:app --reload + ``` + +5. Open `http://127.0.0.1:8000`. + +## Notes + +Ollama runs locally at `http://localhost:11434` by default. This app talks to Ollama's native chat API with tool schemas, then executes approved UEX calls in the FastAPI backend. + +UEX marketplace posting and negotiation messages are guarded because they are account-affecting write actions. The model can draft them, but the UI approval button performs the final API call. + +The assistant gets runtime context on every chat: current date/time, authenticated UEX identity when credentials are configured, remembered user profile, last interaction time, relevant memories, and recent conversation excerpts. Memory is stored locally at `TRADERAI_MEMORY_PATH`. + +Wake jobs can be created from chat, for example: + +```text +At 9 PM remind yourself to check my open Polaris Bit negotiations. +``` + +or: + +```text +Every day at 9 AM, wake up and check whether I have marketplace followups. +``` + +The scheduler accepts one-time ISO datetimes and five-field cron expressions through the `schedule_wake_job` tool. When a wake job fires, the assistant receives context like the current time and last interaction time, then places its response into the UI notification queue. + +## Sources Used + +- UEX SwaggerHub OpenAPI v2.1: https://app.swaggerhub.com/apis-docs/dolejska-daniel/UEX-API/v2.1 +- UEX marketplace listings docs: https://uexcorp.space/api/documentation/id/get_marketplace_listings/?is_kiosk=1 +- UEX negotiation message docs: https://uexcorp.space/api/documentation/id/post_marketplace_negotiations_messages/?is_kiosk=1 +- Ollama tool calling docs: https://docs.ollama.com/capabilities/tool-calling +- Ollama API streaming/tool-call reference: https://github.com/ollama/ollama/blob/main/docs/api.md +- SQLite FTS5 docs: https://www.sqlite.org/fts5.html +- APScheduler AsyncIO scheduler docs: https://apscheduler.readthedocs.io/en/stable/modules/schedulers/asyncio.html +- Letta/MemGPT memory hierarchy background: https://docs.letta.com/concepts/letta diff --git a/data/traderai.sqlite3 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"pydantic>=2.8.0", + "pydantic-settings>=2.4.0", + "python-dotenv>=1.0.1", + "tzlocal>=5.2", + "uvicorn[standard]>=0.30.0", +] + +[project.optional-dependencies] +dev = [ + "pytest>=8.3.0", + "pytest-asyncio>=0.23.8", + "respx>=0.21.1", +] + +[tool.pytest.ini_options] +testpaths = ["tests"] +pythonpath = ["."] diff --git a/tests/test_agent.py b/tests/test_agent.py new file mode 100644 index 0000000..ac92022 --- /dev/null +++ b/tests/test_agent.py @@ -0,0 +1,63 @@ +import pytest + +from traderai.agent import OllamaAgent +from traderai.memory import MemoryStore + + +class EmptyTools: + schemas = [] + + @property + def pending_actions(self): + return {} + + +@pytest.mark.asyncio +async def test_chat_events_warns_when_ollama_offline(): + agent = OllamaAgent("http://127.0.0.1:1", "missing-model", EmptyTools()) + events = [] + async for event in agent.chat_events("hello"): + events.append(event) + + assert events[0]["type"] == "warning" + assert "Ollama is offline" in events[0]["message"] + assert events[-1]["type"] == "done" + + +def test_runtime_context_uses_previous_interaction_not_current_message(tmp_path): + memory = MemoryStore(str(tmp_path / "memory.sqlite3")) + memory.add_conversation("assistant", "older answer") + previous = memory.last_interaction() + assert previous is not None + + memory.add_conversation("user", "current question") + current = memory.last_interaction() + + agent = OllamaAgent("http://127.0.0.1:1", "missing-model", EmptyTools(), memory=memory) + context = agent._runtime_context("current question", previous_interaction=previous) + + assert f"Previous interaction before this message: {previous['created_at']}" in context + assert f"Previous interaction before this message: {current['created_at']}" not in context + assert "Current local date/time:" in context + + +def test_runtime_context_includes_uex_user_identity(tmp_path): + memory = MemoryStore(str(tmp_path / "memory.sqlite3")) + memory.set_profile( + "uex_user", + { + "username": "pilot_hudson", + "name": "Hudson", + "email": "hudson@example.test", + "timezone": "America/New_York", + "specializations": "trading,hauling", + }, + ) + + agent = OllamaAgent("http://127.0.0.1:1", "missing-model", EmptyTools(), memory=memory) + context = agent._runtime_context("") + + assert "You are speaking with UEX user pilot_hudson (Hudson)." in context + assert "timezone: America/New_York" in context + assert "specializations: trading,hauling" in context + assert "hudson@example.test" not in context diff --git a/tests/test_memory.py b/tests/test_memory.py new file mode 100644 index 0000000..8cd6168 --- /dev/null +++ b/tests/test_memory.py @@ -0,0 +1,27 @@ +from traderai.memory import MemoryStore + + +def test_memory_store_recalls_saved_fact(tmp_path): + store = MemoryStore(str(tmp_path / "memory.sqlite3")) + store.remember("preference", "The user prefers Polaris Bits searches to include barter listings.", importance=5) + + results = store.recall("Polaris barter") + + assert results + assert "Polaris Bits" in results[0]["content"] + + +def test_memory_store_clear_selected_sections(tmp_path): + store = MemoryStore(str(tmp_path / "memory.sqlite3")) + store.remember("note", "Forgettable note") + store.add_conversation("user", "hello") + store.set_profile("configured_name", "Hudson") + + deleted = store.clear(include_profile=False) + snapshot = store.inspect() + + assert deleted["memories"] == 1 + assert deleted["conversations"] == 1 + assert snapshot["memories"] == [] + assert snapshot["conversations"] == [] + assert snapshot["profile"][0]["key"] == "configured_name" diff --git a/tests/test_tools.py b/tests/test_tools.py new file mode 100644 index 0000000..2802cd6 --- /dev/null +++ b/tests/test_tools.py @@ -0,0 +1,83 @@ +import pytest +import respx +from httpx import Response + +from traderai.tools import ToolRegistry +from traderai.uex_client import UEXClient + + +class FakeUEX: + async def get(self, path, params=None, authenticated=False): + assert path == "marketplace_listings" + return { + "data": [ + { + "id": 1, + "slug": "gold-haul", + "title": "Gold haul escort", + "description": "Escort service", + "operation": "sell", + "type": "service", + "price": 5000, + "currency": "UEC", + "unit": "run", + "location": "Port Tressler", + "user_username": "pilot_a", + "date_expiration": 123, + }, + { + "id": 2, + "slug": "armor-set", + "title": "Armor set", + "description": "Clean set", + "operation": "sell", + "type": "item", + "price": 15000, + "currency": "UEC", + "unit": "set", + "location": "Area18", + "user_username": "pilot_b", + "date_expiration": 456, + }, + ] + } + + +@pytest.mark.asyncio +async def test_search_marketplace_listings_filters_locally(): + registry = ToolRegistry(FakeUEX()) + result = await registry.search_marketplace_listings(query="gold", type="service", max_price=6000) + assert result["count"] == 1 + assert result["listings"][0]["slug"] == "gold-haul" + + +@pytest.mark.asyncio +async def test_draft_message_creates_pending_action(): + registry = ToolRegistry(FakeUEX()) + result = await registry.draft_negotiation_message(hash="abc", message="Would you take 4500 UEC?") + pending = result["pending_action"] + assert pending["endpoint"] == "marketplace_negotiations_messages" + assert pending["payload"]["message"] == "Would you take 4500 UEC?" + assert pending["id"] in registry.pending_actions + + +def test_uex_client_uses_bearer_and_secret_headers(): + client = UEXClient("https://api.uexcorp.space/2.0", secret_key="secret", bearer_token="bearer") + + headers = client._headers(authenticated=True) + + assert headers["secret-key"] == "secret" + assert headers["Authorization"] == "Bearer bearer" + + +@pytest.mark.asyncio +@respx.mock +async def test_uex_client_get_user_normalizes_user_payload(): + respx.get("https://api.uexcorp.space/2.0/user/").mock( + return_value=Response(200, json={"status": "ok", "data": [{"username": "pilot_hudson"}]}) + ) + client = UEXClient("https://api.uexcorp.space/2.0", bearer_token="bearer") + + result = await client.get_user(authenticated=True) + + assert result == {"status": "ok", "user": {"username": "pilot_hudson"}} diff --git a/traderai/__init__.py b/traderai/__init__.py new file mode 100644 index 0000000..a89edf8 --- /dev/null +++ b/traderai/__init__.py @@ -0,0 +1 @@ +"""TraderAI application package.""" diff --git a/traderai/agent.py b/traderai/agent.py new file mode 100644 index 0000000..e7542fe --- /dev/null +++ b/traderai/agent.py @@ -0,0 +1,344 @@ +from __future__ import annotations + +import json +from collections.abc import AsyncIterator +from typing import Any + +import httpx +from tzlocal import get_localzone + +from traderai.memory import MemoryStore, iso_now, iso_now_in_zone, time_since +from traderai.tools import ToolRegistry + + +SYSTEM_PROMPT = """You are TraderAI, a local assistant for UEX marketplace work. +Use tools when the user asks about listings, negotiations, messages, offers, or posting ads. +For marketplace writes, draft the exact pending action and tell the user what will be sent; never claim it was sent until approval succeeds. +Keep prices, listing ids, slugs, users, and UEX status codes precise. If data is missing, say what you need next.""" + + +class OllamaAgent: + def __init__( + self, + base_url: str, + model: str, + tools: ToolRegistry, + memory: MemoryStore | None = None, + user_name: str | None = None, + ) -> None: + self.base_url = base_url.rstrip("/") + self.model = model + self.tools = tools + self.memory = memory + self.user_name = user_name + self.messages: list[dict[str, Any]] = [{"role": "system", "content": SYSTEM_PROMPT}] + + async def health(self) -> dict[str, Any]: + try: + async with httpx.AsyncClient(timeout=3) as client: + response = await client.get(f"{self.base_url}/api/tags") + response.raise_for_status() + body = response.json() + except (httpx.HTTPError, ValueError) as exc: + return { + "online": False, + "model": self.model, + "base_url": self.base_url, + "message": f"Ollama is offline or unreachable at {self.base_url}. Start Ollama and make sure the model is pulled.", + "detail": str(exc), + } + + models = [model.get("name") or model.get("model") for model in body.get("models", [])] + return { + "online": True, + "model": self.model, + "base_url": self.base_url, + "model_available": self.model in models, + "models": models, + "message": "Ollama is online.", + } + + async def ensure_available(self) -> None: + health = await self.health() + if not health["online"]: + raise OllamaUnavailable(health["message"]) + + async def chat(self, content: str) -> dict[str, Any]: + await self.ensure_available() + previous_interaction = self.memory.last_interaction() if self.memory else None + if self.memory: + self.memory.add_conversation("user", content) + self.messages.append({"role": "user", "content": content}) + for _ in range(5): + response = await self._ollama_chat(content, previous_interaction=previous_interaction) + message = response.get("message") or {} + tool_calls = message.get("tool_calls") or [] + if not tool_calls: + self.messages.append({"role": "assistant", "content": message.get("content", "")}) + if self.memory: + self.memory.add_conversation("assistant", message.get("content", "")) + return {"message": message.get("content", ""), "pending_actions": self._pending_payloads()} + + self.messages.append(message) + for call in tool_calls: + name, arguments = self._extract_call(call) + result = await self.tools.execute(name, arguments) + self.messages.append({"role": "tool", "tool_name": name, "content": json.dumps(result)}) + + fallback = "I hit the tool-call limit while working on that. Try narrowing the request or approve any pending action first." + self.messages.append({"role": "assistant", "content": fallback}) + if self.memory: + self.memory.add_conversation("assistant", fallback) + return {"message": fallback, "pending_actions": self._pending_payloads()} + + async def chat_events(self, content: str) -> AsyncIterator[dict[str, Any]]: + health = await self.health() + if not health["online"]: + yield {"type": "warning", "message": health["message"]} + yield {"type": "done", "pending_actions": self._pending_payloads()} + return + + previous_interaction = self.memory.last_interaction() if self.memory else None + if self.memory: + self.memory.add_conversation("user", content) + self.messages.append({"role": "user", "content": content}) + yield {"type": "status", "message": "Thinking"} + + for _ in range(5): + assistant_message: dict[str, Any] = {"role": "assistant", "content": ""} + tool_calls: list[dict[str, Any]] = [] + + async for event in self._ollama_chat_stream(content, previous_interaction=previous_interaction): + message = event.get("message") or {} + chunk = message.get("content") or "" + if chunk: + assistant_message["content"] += chunk + yield {"type": "token", "content": chunk} + if message.get("tool_calls"): + tool_calls.extend(message["tool_calls"]) + + if not tool_calls: + self.messages.append(assistant_message) + if self.memory: + self.memory.add_conversation("assistant", assistant_message.get("content", "")) + yield {"type": "done", "pending_actions": self._pending_payloads()} + return + + assistant_message["tool_calls"] = tool_calls + self.messages.append(assistant_message) + for call in tool_calls: + name, arguments = self._extract_call(call) + yield {"type": "status", "message": self._tool_status(name)} + result = await self.tools.execute(name, arguments) + self.messages.append({"role": "tool", "tool_name": name, "content": json.dumps(result)}) + + yield {"type": "status", "message": "Writing response"} + + fallback = "I hit the tool-call limit while working on that. Try narrowing the request or approve any pending action first." + self.messages.append({"role": "assistant", "content": fallback}) + if self.memory: + self.memory.add_conversation("assistant", fallback) + yield {"type": "token", "content": fallback} + yield {"type": "done", "pending_actions": self._pending_payloads()} + + async def generate_wake_response(self, wake_message: str) -> str: + await self.ensure_available() + self.messages.append({"role": "user", "content": wake_message}) + response = await self._ollama_chat(wake_message) + message = response.get("message") or {} + content = message.get("content", "") + self.messages.append({"role": "assistant", "content": content}) + if self.memory: + self.memory.add_conversation("system", wake_message) + self.memory.add_conversation("assistant", content) + return content or wake_message + + async def _ollama_chat(self, query: str = "", previous_interaction: dict[str, Any] | None = None) -> dict[str, Any]: + async with httpx.AsyncClient(timeout=120) as client: + response = await client.post( + f"{self.base_url}/api/chat", + json={ + "model": self.model, + "messages": self._messages_with_context(query, previous_interaction=previous_interaction), + "tools": self.tools.schemas, + "stream": False, + }, + ) + response.raise_for_status() + return response.json() + + async def _ollama_chat_stream( + self, + query: str = "", + previous_interaction: dict[str, Any] | None = None, + ) -> AsyncIterator[dict[str, Any]]: + async with httpx.AsyncClient(timeout=120) as client: + async with client.stream( + "POST", + f"{self.base_url}/api/chat", + json={ + "model": self.model, + "messages": self._messages_with_context(query, previous_interaction=previous_interaction), + "tools": self.tools.schemas, + "stream": True, + }, + ) as response: + response.raise_for_status() + async for line in response.aiter_lines(): + if line: + yield json.loads(line) + + def _messages_with_context( + self, + query: str, + previous_interaction: dict[str, Any] | None = None, + ) -> list[dict[str, Any]]: + context = self._runtime_context(query, previous_interaction=previous_interaction) + if not context: + return self.messages + return [self.messages[0], {"role": "system", "content": context}, *self.messages[1:]] + + def _runtime_context(self, query: str, previous_interaction: dict[str, Any] | None = None) -> str: + local_zone = get_localzone() + parts = [ + f"Current local date/time: {iso_now()} UTC; {iso_now_in_zone(local_zone)} {local_zone}.", + ] + if self.user_name: + parts.append(f"Known user name/handle: {self.user_name}.") + + if self.memory is None: + return "\n".join(parts) + + profile = self.memory.get_profile() + if profile: + identity = self._profile_identity(profile) + if identity: + parts.append(identity) + parts.append(f"Known user profile JSON: {json.dumps(self._profile_for_prompt(profile), ensure_ascii=True)}.") + + last = previous_interaction if previous_interaction is not None else self.memory.last_interaction() + if last: + parts.append( + f"Previous interaction before this message: {last['created_at']} " + f"({time_since(last['created_at'])}, role {last['role']})." + ) + else: + parts.append("Previous interaction before this message: none recorded.") + + memories = self.memory.recall(query, limit=6) + if memories: + memory_text = "\n".join( + f"- [{item['kind']}, importance {item['importance']}] {item['content']}" + for item in memories + ) + parts.append(f"Relevant long-term memories:\n{memory_text}") + + recent = self.memory.recent_conversation(limit=6) + if recent: + recent_text = "\n".join( + f"- {item['created_at']} {item['role']}: {item['content'][:500]}" + for item in recent + ) + parts.append(f"Recent conversation excerpts:\n{recent_text}") + + return "\n".join(parts) + + def _pending_payloads(self) -> list[dict[str, Any]]: + return [ + { + "id": action.id, + "label": action.label, + "endpoint": action.endpoint, + "payload": action.payload, + } + for action in self.tools.pending_actions.values() + ] + + @staticmethod + def _tool_status(name: str) -> str: + labels = { + "search_marketplace_listings": "Searching UEX listings", + "get_marketplace_listing": "Fetching listing details", + "list_marketplace_negotiations": "Checking negotiations", + "get_negotiation_messages": "Reading negotiation messages", + "draft_negotiation_message": "Drafting message for approval", + "draft_marketplace_listing": "Drafting listing for approval", + } + return labels.get(name, f"Running {name}") + + @staticmethod + def _profile_identity(profile: dict[str, Any]) -> str: + user = profile.get("uex_user") + if not isinstance(user, dict): + configured = profile.get("configured_name") + return f"You are speaking with {configured}." if configured else "" + + username = user.get("username") or user.get("user_username") + name = user.get("name") + fields = [] + if username and name and username != name: + fields.append(f"You are speaking with UEX user {username} ({name}).") + elif username or name: + fields.append(f"You are speaking with UEX user {username or name}.") + + details = [] + for key, label in [ + ("timezone", "timezone"), + ("language", "preferred language"), + ("specializations", "specializations"), + ("languages", "languages"), + ("archetypes", "archetypes"), + ]: + value = user.get(key) + if value: + details.append(f"{label}: {value}") + if details: + fields.append("UEX profile details: " + "; ".join(details) + ".") + return " ".join(fields) + + @staticmethod + def _profile_for_prompt(profile: dict[str, Any]) -> dict[str, Any]: + user = profile.get("uex_user") + if not isinstance(user, dict): + return profile + + useful_user_fields = [ + "id", + "name", + "username", + "avatar", + "bio", + "website_url", + "timezone", + "language", + "day_availability", + "time_availability", + "specializations", + "languages", + "archetypes", + "is_datarunner", + "is_staff", + "is_away_game", + "date_rsi_verified", + "date_twitch_verified", + ] + prompt_profile = dict(profile) + prompt_profile["uex_user"] = { + key: user[key] + for key in useful_user_fields + if key in user and user[key] not in (None, "") + } + return prompt_profile + + @staticmethod + def _extract_call(call: dict[str, Any]) -> tuple[str, dict[str, Any]]: + function = call.get("function") or {} + name = function.get("name") or call.get("name") + arguments = function.get("arguments") or call.get("arguments") or {} + if isinstance(arguments, str): + arguments = json.loads(arguments or "{}") + return name, arguments + + +class OllamaUnavailable(RuntimeError): + pass diff --git a/traderai/config.py b/traderai/config.py new file mode 100644 index 0000000..181bd72 --- /dev/null +++ b/traderai/config.py @@ -0,0 +1,22 @@ +from functools import lru_cache + +from pydantic import Field +from pydantic_settings import BaseSettings, SettingsConfigDict + + +class Settings(BaseSettings): + model_config = SettingsConfigDict(env_file=".env", env_file_encoding="utf-8") + + ollama_base_url: str = "http://localhost:11434" + ollama_model: str = "qwen3.5:9b" + uex_base_url: str = "https://api.uexcorp.space/2.0" + uex_secret_key: str | None = Field(default=None) + uex_bearer_token: str | None = Field(default=None) + traderai_user_name: str | None = Field(default=None) + traderai_memory_path: str = "data/traderai.sqlite3" + require_write_approval: bool = True + + +@lru_cache +def get_settings() -> Settings: + return Settings() diff --git a/traderai/memory.py b/traderai/memory.py new file mode 100644 index 0000000..0d12710 --- /dev/null +++ b/traderai/memory.py @@ -0,0 +1,378 @@ +from __future__ import annotations + +import json +import sqlite3 +from datetime import datetime, timezone +from pathlib import Path +from typing import Any +from zoneinfo import ZoneInfo + + +def utc_now() -> datetime: + return datetime.now(timezone.utc) + + +def iso_now() -> str: + return utc_now().isoformat() + + +def iso_now_in_zone(zone: ZoneInfo) -> str: + return utc_now().astimezone(zone).isoformat() + + +def parse_iso(value: str) -> datetime: + parsed = datetime.fromisoformat(value) + if parsed.tzinfo is None: + return parsed.replace(tzinfo=timezone.utc) + return parsed + + +def time_since(value: str, now: datetime | None = None) -> str: + then = parse_iso(value) + current = now or utc_now() + if current.tzinfo is None: + current = current.replace(tzinfo=timezone.utc) + seconds = max(0, int((current - then).total_seconds())) + if seconds < 60: + return f"{seconds} seconds ago" + minutes = seconds // 60 + if minutes < 60: + return _plural(minutes, "minute") + " ago" + hours = minutes // 60 + if hours < 24: + return _plural(hours, "hour") + " ago" + days = hours // 24 + return _plural(days, "day") + " ago" + + +def _plural(value: int, unit: str) -> str: + suffix = "" if value == 1 else "s" + return f"{value} {unit}{suffix}" + + +class MemoryStore: + def __init__(self, path: str) -> None: + self.path = Path(path) + self.path.parent.mkdir(parents=True, exist_ok=True) + self._init_db() + + def _connect(self) -> sqlite3.Connection: + connection = sqlite3.connect(self.path) + connection.row_factory = sqlite3.Row + return connection + + def _init_db(self) -> None: + with self._connect() as db: + db.executescript( + """ + CREATE TABLE IF NOT EXISTS conversations ( + id INTEGER PRIMARY KEY AUTOINCREMENT, + role TEXT NOT NULL, + content TEXT NOT NULL, + created_at TEXT NOT NULL + ); + + CREATE TABLE IF NOT EXISTS memories ( + id INTEGER PRIMARY KEY AUTOINCREMENT, + kind TEXT NOT NULL, + content TEXT NOT NULL, + importance INTEGER NOT NULL DEFAULT 3, + metadata TEXT NOT NULL DEFAULT '{}', + created_at TEXT NOT NULL, + updated_at TEXT NOT NULL + ); + + CREATE VIRTUAL TABLE IF NOT EXISTS memories_fts USING fts5( + content, + kind UNINDEXED, + content='memories', + content_rowid='id' + ); + + CREATE TRIGGER IF NOT EXISTS memories_ai AFTER INSERT ON memories BEGIN + INSERT INTO memories_fts(rowid, content, kind) VALUES (new.id, new.content, new.kind); + END; + + CREATE TRIGGER IF NOT EXISTS memories_ad AFTER DELETE ON memories BEGIN + INSERT INTO memories_fts(memories_fts, rowid, content, kind) + VALUES('delete', old.id, old.content, old.kind); + END; + + CREATE TRIGGER IF NOT EXISTS memories_au AFTER UPDATE ON memories BEGIN + INSERT INTO memories_fts(memories_fts, rowid, content, kind) + VALUES('delete', old.id, old.content, old.kind); + INSERT INTO memories_fts(rowid, content, kind) VALUES (new.id, new.content, new.kind); + END; + + CREATE TABLE IF NOT EXISTS user_profile ( + key TEXT PRIMARY KEY, + value TEXT NOT NULL, + updated_at TEXT NOT NULL + ); + + CREATE TABLE IF NOT EXISTS scheduled_jobs ( + id TEXT PRIMARY KEY, + prompt TEXT NOT NULL, + trigger_type TEXT NOT NULL, + trigger_value TEXT NOT NULL, + next_run_at TEXT, + created_at TEXT NOT NULL, + last_run_at TEXT, + enabled INTEGER NOT NULL DEFAULT 1 + ); + + CREATE TABLE IF NOT EXISTS outbox ( + id INTEGER PRIMARY KEY AUTOINCREMENT, + content TEXT NOT NULL, + created_at TEXT NOT NULL, + delivered_at TEXT + ); + """ + ) + + def add_conversation(self, role: str, content: str) -> None: + with self._connect() as db: + db.execute( + "INSERT INTO conversations(role, content, created_at) VALUES (?, ?, ?)", + (role, content, iso_now()), + ) + + def last_interaction(self) -> dict[str, Any] | None: + with self._connect() as db: + row = db.execute( + "SELECT role, content, created_at FROM conversations ORDER BY id DESC LIMIT 1" + ).fetchone() + return dict(row) if row else None + + def recent_conversation(self, limit: int = 8) -> list[dict[str, Any]]: + with self._connect() as db: + rows = db.execute( + "SELECT role, content, created_at FROM conversations ORDER BY id DESC LIMIT ?", + (limit,), + ).fetchall() + return [dict(row) for row in reversed(rows)] + + def remember(self, kind: str, content: str, importance: int = 3, metadata: dict[str, Any] | None = None) -> dict[str, Any]: + now = iso_now() + with self._connect() as db: + cursor = db.execute( + """ + INSERT INTO memories(kind, content, importance, metadata, created_at, updated_at) + VALUES (?, ?, ?, ?, ?, ?) + """, + (kind, content, importance, json.dumps(metadata or {}), now, now), + ) + memory_id = cursor.lastrowid + return {"id": memory_id, "kind": kind, "content": content, "importance": importance, "created_at": now} + + def recall(self, query: str, limit: int = 6) -> list[dict[str, Any]]: + if not query.strip(): + return self.top_memories(limit) + + with self._connect() as db: + try: + rows = db.execute( + """ + SELECT m.id, m.kind, m.content, m.importance, m.metadata, m.created_at, + bm25(memories_fts) AS rank + FROM memories_fts + JOIN memories m ON m.id = memories_fts.rowid + WHERE memories_fts MATCH ? + ORDER BY rank, m.importance DESC + LIMIT ? + """, + (self._fts_query(query), limit), + ).fetchall() + except sqlite3.OperationalError: + rows = db.execute( + """ + SELECT id, kind, content, importance, metadata, created_at + FROM memories + WHERE content LIKE ? + ORDER BY importance DESC, id DESC + LIMIT ? + """, + (f"%{query}%", limit), + ).fetchall() + return [self._memory_row(row) for row in rows] + + def top_memories(self, limit: int = 6) -> list[dict[str, Any]]: + with self._connect() as db: + rows = db.execute( + """ + SELECT id, kind, content, importance, metadata, created_at + FROM memories + ORDER BY importance DESC, updated_at DESC + LIMIT ? + """, + (limit,), + ).fetchall() + return [self._memory_row(row) for row in rows] + + def inspect(self, limit: int = 50) -> dict[str, Any]: + with self._connect() as db: + memories = db.execute( + """ + SELECT id, kind, content, importance, metadata, created_at, updated_at + FROM memories + ORDER BY importance DESC, updated_at DESC + LIMIT ? + """, + (limit,), + ).fetchall() + conversations = db.execute( + """ + SELECT id, role, content, created_at + FROM conversations + ORDER BY id DESC + LIMIT ? + """, + (limit,), + ).fetchall() + profile_rows = db.execute( + "SELECT key, value, updated_at FROM user_profile ORDER BY key" + ).fetchall() + jobs = db.execute( + "SELECT * FROM scheduled_jobs ORDER BY enabled DESC, next_run_at" + ).fetchall() + outbox = db.execute( + "SELECT id, content, created_at, delivered_at FROM outbox ORDER BY id DESC LIMIT ?", + (limit,), + ).fetchall() + + profile = [] + for row in profile_rows: + item = dict(row) + try: + item["value"] = json.loads(item["value"]) + except json.JSONDecodeError: + pass + profile.append(item) + + return { + "path": str(self.path), + "memories": [self._memory_row(row) for row in memories], + "conversations": [dict(row) for row in conversations], + "profile": profile, + "scheduled_jobs": [dict(row) for row in jobs], + "outbox": [dict(row) for row in outbox], + } + + def clear( + self, + include_memories: bool = True, + include_conversations: bool = True, + include_profile: bool = False, + include_jobs: bool = False, + include_outbox: bool = True, + ) -> dict[str, int]: + deleted: dict[str, int] = {} + with self._connect() as db: + if include_memories: + deleted["memories"] = db.execute("DELETE FROM memories").rowcount + db.execute("INSERT INTO memories_fts(memories_fts) VALUES('rebuild')") + if include_conversations: + deleted["conversations"] = db.execute("DELETE FROM conversations").rowcount + if include_profile: + deleted["profile"] = db.execute("DELETE FROM user_profile").rowcount + if include_jobs: + deleted["scheduled_jobs"] = db.execute("DELETE FROM scheduled_jobs").rowcount + if include_outbox: + deleted["outbox"] = db.execute("DELETE FROM outbox").rowcount + return deleted + + def set_profile(self, key: str, value: Any) -> None: + with self._connect() as db: + db.execute( + """ + INSERT INTO user_profile(key, value, updated_at) VALUES (?, ?, ?) + ON CONFLICT(key) DO UPDATE SET value=excluded.value, updated_at=excluded.updated_at + """, + (key, json.dumps(value), iso_now()), + ) + + def get_profile(self) -> dict[str, Any]: + with self._connect() as db: + rows = db.execute("SELECT key, value FROM user_profile").fetchall() + profile = {} + for row in rows: + try: + profile[row["key"]] = json.loads(row["value"]) + except json.JSONDecodeError: + profile[row["key"]] = row["value"] + return profile + + def add_job( + self, + job_id: str, + prompt: str, + trigger_type: str, + trigger_value: str, + next_run_at: str | None = None, + ) -> dict[str, Any]: + with self._connect() as db: + db.execute( + """ + INSERT INTO scheduled_jobs(id, prompt, trigger_type, trigger_value, next_run_at, created_at, enabled) + VALUES (?, ?, ?, ?, ?, ?, 1) + ON CONFLICT(id) DO UPDATE SET + prompt=excluded.prompt, + trigger_type=excluded.trigger_type, + trigger_value=excluded.trigger_value, + next_run_at=excluded.next_run_at, + enabled=1 + """, + (job_id, prompt, trigger_type, trigger_value, next_run_at, iso_now()), + ) + return { + "id": job_id, + "prompt": prompt, + "trigger_type": trigger_type, + "trigger_value": trigger_value, + "next_run_at": next_run_at, + } + + def list_jobs(self) -> list[dict[str, Any]]: + with self._connect() as db: + rows = db.execute( + "SELECT * FROM scheduled_jobs WHERE enabled = 1 ORDER BY next_run_at IS NULL, next_run_at" + ).fetchall() + return [dict(row) for row in rows] + + def mark_job_run(self, job_id: str, next_run_at: str | None = None) -> None: + with self._connect() as db: + db.execute( + "UPDATE scheduled_jobs SET last_run_at = ?, next_run_at = ? WHERE id = ?", + (iso_now(), next_run_at, job_id), + ) + + def add_outbox(self, content: str) -> None: + with self._connect() as db: + db.execute("INSERT INTO outbox(content, created_at) VALUES (?, ?)", (content, iso_now())) + + def undelivered_outbox(self) -> list[dict[str, Any]]: + now = iso_now() + with self._connect() as db: + rows = db.execute( + "SELECT id, content, created_at FROM outbox WHERE delivered_at IS NULL ORDER BY id" + ).fetchall() + db.execute( + "UPDATE outbox SET delivered_at = ? WHERE delivered_at IS NULL", + (now,), + ) + return [dict(row) for row in rows] + + @staticmethod + def _fts_query(query: str) -> str: + tokens = [token.replace('"', "") for token in query.split() if token.strip()] + return " OR ".join(f'"{token}"' for token in tokens) or '""' + + @staticmethod + def _memory_row(row: sqlite3.Row) -> dict[str, Any]: + data = dict(row) + if "metadata" in data: + try: + data["metadata"] = json.loads(data["metadata"]) + except json.JSONDecodeError: + data["metadata"] = {} + return data diff --git a/traderai/scheduler.py b/traderai/scheduler.py new file mode 100644 index 0000000..d1eede3 --- /dev/null +++ b/traderai/scheduler.py @@ -0,0 +1,79 @@ +from __future__ import annotations + +from datetime import datetime +from typing import Any +from uuid import uuid4 + +from apscheduler.schedulers.asyncio import AsyncIOScheduler +from apscheduler.triggers.cron import CronTrigger +from apscheduler.triggers.date import DateTrigger +from tzlocal import get_localzone + +from traderai.memory import MemoryStore, iso_now, time_since + + +class WakeScheduler: + def __init__(self, memory: MemoryStore) -> None: + self.memory = memory + self.scheduler = AsyncIOScheduler(timezone=get_localzone()) + self.agent = None + + def bind_agent(self, agent: Any) -> None: + self.agent = agent + + def start(self) -> None: + if not self.scheduler.running: + self.scheduler.start() + for job in self.memory.list_jobs(): + self._schedule_existing(job) + + def shutdown(self) -> None: + if self.scheduler.running: + self.scheduler.shutdown(wait=False) + + def schedule_date(self, run_at: str, prompt: str, job_id: str | None = None) -> dict[str, Any]: + parsed = datetime.fromisoformat(run_at) + job_id = job_id or f"wake-{uuid4()}" + trigger = DateTrigger(run_date=parsed) + self.scheduler.add_job(self._run_job, trigger=trigger, id=job_id, args=[job_id, prompt], replace_existing=True) + return self.memory.add_job(job_id, prompt, "date", run_at, parsed.isoformat()) + + def schedule_cron(self, cron: str, prompt: str, job_id: str | None = None) -> dict[str, Any]: + job_id = job_id or f"wake-{uuid4()}" + trigger = CronTrigger.from_crontab(cron) + self.scheduler.add_job(self._run_job, trigger=trigger, id=job_id, args=[job_id, prompt], replace_existing=True) + next_run = self.scheduler.get_job(job_id).next_run_time + return self.memory.add_job(job_id, prompt, "cron", cron, next_run.isoformat() if next_run else None) + + def list_jobs(self) -> list[dict[str, Any]]: + return self.memory.list_jobs() + + def _schedule_existing(self, job: dict[str, Any]) -> None: + if job["trigger_type"] == "cron": + trigger = CronTrigger.from_crontab(job["trigger_value"]) + elif job["trigger_type"] == "date": + trigger = DateTrigger(run_date=datetime.fromisoformat(job["trigger_value"])) + else: + return + self.scheduler.add_job( + self._run_job, + trigger=trigger, + id=job["id"], + args=[job["id"], job["prompt"]], + replace_existing=True, + ) + + async def _run_job(self, job_id: str, prompt: str) -> None: + last = self.memory.last_interaction() + last_text = f"{last['created_at']} ({time_since(last['created_at'])})" if last else "never" + wake_message = ( + f"Scheduled wake job fired. Current time is {iso_now()}. " + f"The last chat interaction was {last_text}. Job instruction: {prompt}" + ) + if self.agent is None: + self.memory.add_outbox(wake_message) + return + + text = await self.agent.generate_wake_response(wake_message) + self.memory.add_outbox(text) + self.memory.mark_job_run(job_id) diff --git a/traderai/server.py b/traderai/server.py new file mode 100644 index 0000000..c38c2e0 --- /dev/null +++ b/traderai/server.py @@ -0,0 +1,143 @@ +from __future__ import annotations + +from pathlib import Path +import json + +from fastapi import FastAPI +from fastapi import HTTPException +from fastapi.responses import FileResponse, StreamingResponse +from fastapi.staticfiles import StaticFiles +from pydantic import BaseModel + +from traderai.agent import OllamaAgent, OllamaUnavailable +from traderai.config import get_settings +from traderai.memory import MemoryStore +from traderai.scheduler import WakeScheduler +from traderai.tools import ToolRegistry +from traderai.uex_client import UEXClient + + +class ChatRequest(BaseModel): + message: str + + +class ClearMemoryRequest(BaseModel): + include_memories: bool = True + include_conversations: bool = True + include_profile: bool = False + include_jobs: bool = False + include_outbox: bool = True + + +def create_app() -> FastAPI: + settings = get_settings() + memory = MemoryStore(settings.traderai_memory_path) + scheduler = WakeScheduler(memory) + uex = UEXClient(settings.uex_base_url, settings.uex_secret_key, settings.uex_bearer_token) + tools = ToolRegistry(uex, settings.require_write_approval, memory=memory, scheduler=scheduler) + agent = OllamaAgent(settings.ollama_base_url, settings.ollama_model, tools, memory=memory, user_name=settings.traderai_user_name) + scheduler.bind_agent(agent) + + app = FastAPI(title="TraderAI") + static_dir = Path(__file__).resolve().parent.parent / "web" + app.mount("/static", StaticFiles(directory=static_dir), name="static") + + @app.on_event("startup") + async def startup() -> None: + await refresh_user_profile() + scheduler.start() + + @app.on_event("shutdown") + async def shutdown() -> None: + scheduler.shutdown() + + async def refresh_user_profile() -> None: + if settings.traderai_user_name: + memory.set_profile("configured_name", settings.traderai_user_name) + agent.user_name = agent.user_name or settings.traderai_user_name + + try: + response = await uex.get_user(authenticated=True) + except Exception as exc: + memory.set_profile("uex_user_error", str(exc)) + if settings.traderai_user_name: + try: + response = await uex.get_user(username=settings.traderai_user_name) + except Exception: + return + else: + return + + data = response.get("user") + if data: + memory.set_profile("uex_user", data) + username = data.get("username") or data.get("user_username") or data.get("name") + if username: + agent.user_name = username + + @app.get("/") + async def index() -> FileResponse: + return FileResponse(static_dir / "index.html") + + @app.get("/api/health") + async def health() -> dict: + return { + "ollama": await agent.health(), + "user": memory.get_profile(), + "jobs": scheduler.list_jobs(), + } + + @app.post("/api/chat") + async def chat(request: ChatRequest) -> dict: + try: + return await agent.chat(request.message) + except OllamaUnavailable as exc: + raise HTTPException(status_code=503, detail=str(exc)) from exc + + @app.post("/api/chat/stream") + async def chat_stream(request: ChatRequest) -> StreamingResponse: + async def events(): + async for event in agent.chat_events(request.message): + yield f"data: {json.dumps(event)}\n\n" + + return StreamingResponse(events(), media_type="text/event-stream") + + @app.get("/api/pending-actions") + async def pending_actions() -> dict: + return {"pending_actions": agent._pending_payloads()} + + @app.get("/api/notifications") + async def notifications() -> dict: + return {"notifications": memory.undelivered_outbox()} + + @app.get("/api/wake-jobs") + async def wake_jobs() -> dict: + return {"scheduled_jobs": scheduler.list_jobs()} + + @app.get("/api/memory") + async def inspect_memory(limit: int = 50) -> dict: + return memory.inspect(max(1, min(limit, 200))) + + @app.post("/api/memory/clear") + async def clear_memory(request: ClearMemoryRequest) -> dict: + if request.include_jobs: + scheduler.shutdown() + deleted = memory.clear( + include_memories=request.include_memories, + include_conversations=request.include_conversations, + include_profile=request.include_profile, + include_jobs=request.include_jobs, + include_outbox=request.include_outbox, + ) + if request.include_jobs: + scheduler.start() + return {"deleted": deleted, "memory": memory.inspect(50)} + + @app.post("/api/approve/{action_id}") + async def approve(action_id: str) -> dict: + return await tools.approve(action_id) + + return app + + +app = create_app() diff --git a/traderai/tools.py b/traderai/tools.py new file mode 100644 index 0000000..53fefc1 --- /dev/null +++ b/traderai/tools.py @@ -0,0 +1,357 @@ +from __future__ import annotations + +import uuid +from dataclasses import dataclass +from typing import Any, Awaitable, Callable + +from traderai.memory import MemoryStore +from traderai.scheduler import WakeScheduler +from traderai.uex_client import UEXClient + + +ToolHandler = Callable[..., Awaitable[dict[str, Any]]] + + +@dataclass +class PendingAction: + id: str + label: str + endpoint: str + payload: dict[str, Any] + + +class ToolRegistry: + def __init__( + self, + uex: UEXClient, + require_write_approval: bool = True, + memory: MemoryStore | None = None, + scheduler: WakeScheduler | None = None, + ) -> None: + self.uex = uex + self.require_write_approval = require_write_approval + self.memory = memory + self.scheduler = scheduler + self.pending_actions: dict[str, PendingAction] = {} + self.handlers: dict[str, ToolHandler] = { + "search_marketplace_listings": self.search_marketplace_listings, + "get_marketplace_listing": self.get_marketplace_listing, + "list_marketplace_negotiations": self.list_marketplace_negotiations, + "get_negotiation_messages": self.get_negotiation_messages, + "draft_negotiation_message": self.draft_negotiation_message, + "draft_marketplace_listing": self.draft_marketplace_listing, + "remember_user_fact": self.remember_user_fact, + "recall_memory": self.recall_memory, + "schedule_wake_job": self.schedule_wake_job, + "list_wake_jobs": self.list_wake_jobs, + } + + @property + def schemas(self) -> list[dict[str, Any]]: + return [ + { + "type": "function", + "function": { + "name": "search_marketplace_listings", + "description": "Search active UEX marketplace listings. UEX returns up to 100 active listings; filters are applied locally.", + "parameters": { + "type": "object", + "properties": { + "query": {"type": "string", "description": "Text to search in title, description, location, advertiser, or slug."}, + "operation": {"type": "string", "enum": ["buy", "sell"]}, + "type": {"type": "string", "enum": ["item", "service", "contract"]}, + "username": {"type": "string", "description": "Advertiser IGN."}, + "location": {"type": "string"}, + "min_price": {"type": "number"}, + "max_price": {"type": "number"}, + "limit": {"type": "integer", "minimum": 1, "maximum": 25}, + }, + }, + }, + }, + { + "type": "function", + "function": { + "name": "get_marketplace_listing", + "description": "Fetch a specific UEX marketplace listing by id or slug.", + "parameters": { + "type": "object", + "properties": { + "id": {"type": "integer"}, + "slug": {"type": "string"}, + }, + }, + }, + }, + { + "type": "function", + "function": { + "name": "list_marketplace_negotiations", + "description": "List authenticated marketplace negotiations for the configured UEX user.", + "parameters": { + "type": "object", + "properties": { + "id": {"type": "integer"}, + "id_listing": {"type": "integer"}, + "hash": {"type": "string"}, + }, + }, + }, + }, + { + "type": "function", + "function": { + "name": "get_negotiation_messages", + "description": "Fetch authenticated messages from a marketplace negotiation by hash or id_negotiation.", + "parameters": { + "type": "object", + "properties": { + "hash": {"type": "string"}, + "id_negotiation": {"type": "integer"}, + }, + }, + }, + }, + { + "type": "function", + "function": { + "name": "draft_negotiation_message", + "description": "Draft a message or offer to a UEX negotiation. This creates a pending action that must be approved before sending.", + "parameters": { + "type": "object", + "required": ["message"], + "properties": { + "message": {"type": "string"}, + "hash": {"type": "string"}, + "id_negotiation": {"type": "integer"}, + "is_production": {"type": "integer", "enum": [0, 1], "default": 0}, + }, + }, + }, + }, + { + "type": "function", + "function": { + "name": "draft_marketplace_listing", + "description": "Draft a new UEX marketplace listing. This creates a pending action that must be approved before posting.", + "parameters": { + "type": "object", + "required": ["id_category", "operation", "type", "unit", "title", "description", "price", "currency", "language"], + "properties": { + "id_item": {"type": "integer"}, + "id_star_system": {"type": "integer"}, + "id_organization": {"type": "integer"}, + "id_category": {"type": "integer"}, + "operation": {"type": "string", "enum": ["buy", "sell"]}, + "type": {"type": "string", "enum": ["item", "service", "contract"]}, + "unit": {"type": "string"}, + "title": {"type": "string"}, + "description": {"type": "string"}, + "price": {"type": "number"}, + "currency": {"type": "string", "enum": ["UEC", "WIF"]}, + "language": {"type": "string", "default": "en_US"}, + "location": {"type": "string"}, + "source": {"type": "string"}, + "availability": {"type": "string"}, + "in_stock": {"type": "integer"}, + "hours_expiration": {"type": "integer"}, + "is_hidden": {"type": "integer", "enum": [0, 1]}, + "is_production": {"type": "integer", "enum": [0, 1], "default": 0}, + }, + }, + }, + }, + { + "type": "function", + "function": { + "name": "remember_user_fact", + "description": "Persist a durable user preference, identity detail, trading rule, or long-term note for future chats.", + "parameters": { + "type": "object", + "required": ["content"], + "properties": { + "content": {"type": "string"}, + "kind": {"type": "string", "enum": ["user", "preference", "trading", "project", "note"], "default": "note"}, + "importance": {"type": "integer", "minimum": 1, "maximum": 5, "default": 3}, + }, + }, + }, + }, + { + "type": "function", + "function": { + "name": "recall_memory", + "description": "Search long-term memory for relevant prior facts, preferences, and chat context.", + "parameters": { + "type": "object", + "properties": { + "query": {"type": "string"}, + "limit": {"type": "integer", "minimum": 1, "maximum": 10, "default": 6}, + }, + }, + }, + }, + { + "type": "function", + "function": { + "name": "schedule_wake_job", + "description": "Create a scheduled wake-up job for the assistant. Use either run_at for one-time jobs or cron for recurring jobs.", + "parameters": { + "type": "object", + "required": ["prompt"], + "properties": { + "prompt": {"type": "string", "description": "What the AI should consider or do when it wakes."}, + "run_at": {"type": "string", "description": "ISO datetime for a one-time wake job, such as 2026-05-05T20:30:00-04:00."}, + "cron": {"type": "string", "description": "Five-field cron expression for recurring jobs, such as 0 9 * * *."}, + }, + }, + }, + }, + { + "type": "function", + "function": { + "name": "list_wake_jobs", + "description": "List currently enabled scheduled assistant wake jobs.", + "parameters": {"type": "object", "properties": {}}, + }, + }, + ] + + async def execute(self, name: str, arguments: dict[str, Any]) -> dict[str, Any]: + handler = self.handlers.get(name) + if not handler: + return {"error": f"Unknown tool: {name}"} + try: + return await handler(**arguments) + except Exception as exc: + return {"error": str(exc)} + + async def approve(self, action_id: str) -> dict[str, Any]: + action = self.pending_actions.pop(action_id, None) + if not action: + return {"error": f"Pending action not found: {action_id}"} + return await self.uex.post(action.endpoint, action.payload, authenticated=True) + + async def search_marketplace_listings( + self, + query: str | None = None, + operation: str | None = None, + type: str | None = None, + username: str | None = None, + location: str | None = None, + min_price: float | None = None, + max_price: float | None = None, + limit: int = 10, + ) -> dict[str, Any]: + response = await self.uex.get("marketplace_listings", {"username": username}) + listings = response.get("data") or [] + filtered = [] + q = (query or "").casefold() + loc = (location or "").casefold() + for listing in listings: + if operation and listing.get("operation") != operation: + continue + if type and listing.get("type") != type: + continue + if min_price is not None and float(listing.get("price") or 0) < min_price: + continue + if max_price is not None and float(listing.get("price") or 0) > max_price: + continue + if loc and loc not in str(listing.get("location") or "").casefold(): + continue + haystack = " ".join(str(listing.get(k) or "") for k in ["title", "description", "location", "user_username", "slug"]).casefold() + if q and q not in haystack: + continue + filtered.append(self._summarize_listing(listing)) + if len(filtered) >= max(1, min(limit, 25)): + break + return {"count": len(filtered), "listings": filtered} + + async def get_marketplace_listing(self, id: int | None = None, slug: str | None = None) -> dict[str, Any]: + response = await self.uex.get("marketplace_listings", {"id": id, "slug": slug}) + return {"listing": response.get("data")} + + async def list_marketplace_negotiations( + self, + id: int | None = None, + id_listing: int | None = None, + hash: str | None = None, + ) -> dict[str, Any]: + return await self.uex.get("marketplace_negotiations", {"id": id, "id_listing": id_listing, "hash": hash}, authenticated=True) + + async def get_negotiation_messages(self, hash: str | None = None, id_negotiation: int | None = None) -> dict[str, Any]: + return await self.uex.get("marketplace_negotiations_messages", {"hash": hash, "id_negotiation": id_negotiation}, authenticated=True) + + async def draft_negotiation_message( + self, + message: str, + hash: str | None = None, + id_negotiation: int | None = None, + is_production: int = 0, + ) -> dict[str, Any]: + payload = {"message": message, "hash": hash, "id_negotiation": id_negotiation, "is_production": is_production} + return self._pending("Send negotiation message", "marketplace_negotiations_messages", payload) + + async def draft_marketplace_listing(self, **payload: Any) -> dict[str, Any]: + return self._pending("Post marketplace listing", "marketplace_advertise", payload) + + async def remember_user_fact(self, content: str, kind: str = "note", importance: int = 3) -> dict[str, Any]: + if self.memory is None: + return {"error": "Memory store is not configured."} + return {"memory": self.memory.remember(kind, content, importance)} + + async def recall_memory(self, query: str = "", limit: int = 6) -> dict[str, Any]: + if self.memory is None: + return {"error": "Memory store is not configured."} + return {"memories": self.memory.recall(query, max(1, min(limit, 10)))} + + async def schedule_wake_job( + self, + prompt: str, + run_at: str | None = None, + cron: str | None = None, + ) -> dict[str, Any]: + if self.scheduler is None: + return {"error": "Scheduler is not configured."} + if bool(run_at) == bool(cron): + return {"error": "Provide exactly one of run_at or cron."} + if run_at: + return {"scheduled_job": self.scheduler.schedule_date(run_at, prompt)} + return {"scheduled_job": self.scheduler.schedule_cron(cron or "", prompt)} + + async def list_wake_jobs(self) -> dict[str, Any]: + if self.scheduler is None: + return {"error": "Scheduler is not configured."} + return {"scheduled_jobs": self.scheduler.list_jobs()} + + def _pending(self, label: str, endpoint: str, payload: dict[str, Any]) -> dict[str, Any]: + action_id = str(uuid.uuid4()) + payload = {key: value for key, value in payload.items() if value is not None} + self.pending_actions[action_id] = PendingAction(action_id, label, endpoint, payload) + return { + "pending_action": { + "id": action_id, + "label": label, + "endpoint": endpoint, + "payload": payload, + "approval_required": self.require_write_approval, + } + } + + @staticmethod + def _summarize_listing(listing: dict[str, Any]) -> dict[str, Any]: + return { + "id": listing.get("id"), + "slug": listing.get("slug"), + "title": listing.get("title"), + "operation": listing.get("operation"), + "type": listing.get("type"), + "price": listing.get("price"), + "currency": listing.get("currency"), + "unit": listing.get("unit"), + "location": listing.get("location"), + "availability": listing.get("availability"), + "in_stock": listing.get("in_stock"), + "advertiser": listing.get("user_username"), + "expires_at": listing.get("date_expiration"), + } diff --git a/traderai/uex_client.py b/traderai/uex_client.py new file mode 100644 index 0000000..e0bbefd --- /dev/null +++ b/traderai/uex_client.py @@ -0,0 +1,62 @@ +from __future__ import annotations + +from typing import Any + +import httpx + + +class UEXError(RuntimeError): + pass + + +class UEXClient: + def __init__(self, base_url: str, secret_key: str | None = None, bearer_token: str | None = None) -> None: + self.base_url = base_url.rstrip("/") + self.secret_key = secret_key + self.bearer_token = bearer_token + + def _headers(self, authenticated: bool = False) -> dict[str, str]: + headers = {"Accept": "application/json"} + if authenticated: + if not self.secret_key and not self.bearer_token: + raise UEXError("UEX_SECRET_KEY or UEX_BEARER_TOKEN is required for this action.") + if self.secret_key: + headers["secret-key"] = self.secret_key + if self.bearer_token: + headers["Authorization"] = f"Bearer {self.bearer_token}" + return headers + + async def get(self, path: str, params: dict[str, Any] | None = None, authenticated: bool = False) -> dict[str, Any]: + async with httpx.AsyncClient(timeout=30) as client: + response = await client.get( + f"{self.base_url}/{path.strip('/')}/", + params={k: v for k, v in (params or {}).items() if v is not None}, + headers=self._headers(authenticated), + ) + return self._handle_response(response) + + async def get_user(self, username: str | None = None, authenticated: bool = False) -> dict[str, Any]: + body = await self.get("user", {"username": username}, authenticated=authenticated) + data = body.get("data") + if isinstance(data, list): + data = data[0] if data else None + return {"status": body.get("status"), "user": data} + + async def post(self, path: str, payload: dict[str, Any], authenticated: bool = True) -> dict[str, Any]: + async with httpx.AsyncClient(timeout=30) as client: + response = await client.post( + f"{self.base_url}/{path.strip('/')}/", + json=payload, + headers=self._headers(authenticated), + ) + return self._handle_response(response) + + @staticmethod + def _handle_response(response: httpx.Response) -> dict[str, Any]: + try: + body = response.json() + except ValueError as exc: + raise UEXError(f"UEX returned non-JSON response: HTTP {response.status_code}") from exc + if response.status_code >= 400: + raise UEXError(f"UEX HTTP {response.status_code}: {body}") + return body diff --git a/uv.lock b/uv.lock new file mode 100644 index 0000000..2144faf --- /dev/null +++ b/uv.lock @@ -0,0 +1,747 @@ +version = 1 +revision = 3 +requires-python = ">=3.11" + +[[package]] +name = "annotated-doc" +version = "0.0.4" +source = { registry = "https://pypi.org/simple" } +sdist = { url = "https://files.pythonhosted.org/packages/57/ba/046ceea27344560984e26a590f90bc7f4a75b06701f653222458922b558c/annotated_doc-0.0.4.tar.gz", hash = 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memoryClearButton = document.getElementById("memory-clear"); + +let ollamaOnline = true; + +function addMessage(role, text) { + const node = document.createElement("div"); + node.className = `message ${role}`; + setMessageMarkdown(node, text); + messages.appendChild(node); + messages.scrollTop = messages.scrollHeight; + return node; +} + +function setMessageMarkdown(node, text) { + node.innerHTML = renderMarkdown(text); +} + +function renderMarkdown(text) { + const escaped = escapeHtml(text); + const formatted = escaped + .replace(/`([^`]+)`/g, "$1") + .replace(/\*\*(.+?)\*\*/g, "$1"); + const lines = formatted.split(/\n/); + const output = []; + let inList = false; + for (const line of lines) { + const trimmed = line.trim(); + const item = line.match(/^(\s*)-\s+(.+)$/); + if (item) { + if (!inList) { + output.push("
    "); + inList = true; + } + const nestedClass = item[1].length >= 2 ? ' class="nested"' : ""; + output.push(`${item[2]}`); + continue; + } + if (inList) { + output.push("
"); + inList = false; + } + if (/^---+$/.test(trimmed)) { + output.push("
"); + } else if (/^###\s+/.test(trimmed)) { + output.push(`

${trimmed.replace(/^###\s+/, "")}

`); + } else if (/^##\s+/.test(trimmed)) { + output.push(`

${trimmed.replace(/^##\s+/, "")}

`); + } else if (trimmed) { + output.push(`

${line}

`); + } else { + output.push("
"); + } + } + if (inList) output.push(""); + return output.join(""); +} + +function escapeHtml(text) { + return text + .replace(/&/g, "&") + .replace(//g, ">") + .replace(/"/g, """) + .replace(/'/g, "'"); +} + +function setActivity(text, active = false) { + activityEl.innerHTML = ""; + if (!text) return; + const label = document.createElement("span"); + label.textContent = text; + activityEl.appendChild(label); + if (active) { + const dots = document.createElement("span"); + dots.className = "working-dots"; + dots.innerHTML = ""; + activityEl.appendChild(dots); + } +} + +function setWarning(text) { + warningEl.hidden = !text; + warningEl.textContent = text || ""; +} + +async function checkHealth() { + try { + const response = await fetch("/api/health"); + const result = await response.json(); + const health = result.ollama || {}; + ollamaOnline = Boolean(health.online); + if (!ollamaOnline) { + statusEl.textContent = "Offline"; + setWarning(health.message || "Ollama is offline. Start Ollama before chatting."); + return false; + } + if (health.model_available === false) { + setWarning(`Ollama is online, but model "${health.model}" is not pulled. Run: ollama pull ${health.model}`); + } else { + setWarning(""); + } + statusEl.textContent = "Ready"; + return true; + } catch (error) { + ollamaOnline = false; + statusEl.textContent = "Offline"; + setWarning(`Could not check Ollama health: ${error.message}`); + return false; + } +} + +function renderPending(actions) { + pendingEl.innerHTML = ""; + if (!actions.length) { + pendingEl.className = "pending-empty"; + pendingEl.textContent = "No pending actions"; + return; + } + pendingEl.className = ""; + for (const action of actions) { + const card = document.createElement("div"); + card.className = "pending-card"; + const title = document.createElement("strong"); + title.textContent = action.label; + const endpoint = document.createElement("p"); + endpoint.className = "muted"; + endpoint.textContent = action.endpoint; + const payload = document.createElement("pre"); + payload.textContent = JSON.stringify(action.payload, null, 2); + const approve = document.createElement("button"); + approve.textContent = "Approve"; + approve.addEventListener("click", () => approveAction(action.id)); + card.append(title, endpoint, payload, approve); + pendingEl.appendChild(card); + } +} + +async function approveAction(id) { + statusEl.textContent = "Sending"; + try { + const response = await fetch(`/api/approve/${id}`, { method: "POST" }); + const result = await response.json(); + addMessage("assistant", `Approval result:\n${JSON.stringify(result, null, 2)}`); + await refreshPending(); + } catch (error) { + addMessage("assistant", `Approval failed: ${error.message}`); + } finally { + statusEl.textContent = "Ready"; + } +} + +async function refreshPending() { + const response = await fetch("/api/pending-actions"); + const result = await response.json(); + renderPending(result.pending_actions || []); +} + +function renderMemory(data) { + memoryInspectorEl.innerHTML = ""; + const counts = document.createElement("div"); + counts.className = "memory-counts"; + counts.textContent = `${data.memories.length} memories | ${data.conversations.length} chat rows | ${data.profile.length} profile keys | ${data.scheduled_jobs.length} jobs`; + memoryInspectorEl.appendChild(counts); + + const path = document.createElement("div"); + path.className = "memory-path"; + path.textContent = data.path; + memoryInspectorEl.appendChild(path); + + memoryInspectorEl.appendChild(memoryGroup("Memories", data.memories, (item) => `${item.kind} (${item.importance})\n${item.content}`)); + memoryInspectorEl.appendChild(memoryGroup("Profile", data.profile, (item) => `${item.key}\n${JSON.stringify(item.value, null, 2)}`)); + memoryInspectorEl.appendChild(memoryGroup("Recent Chat", data.conversations, (item) => `${item.created_at} ${item.role}\n${item.content}`)); + memoryInspectorEl.appendChild(memoryGroup("Wake Jobs", data.scheduled_jobs, (item) => `${item.id}\n${item.trigger_type}: ${item.trigger_value}\n${item.prompt}`)); +} + +function memoryGroup(title, items, formatter) { + const group = document.createElement("details"); + group.className = "memory-group"; + const summary = document.createElement("summary"); + summary.textContent = `${title} (${items.length})`; + group.appendChild(summary); + if (!items.length) { + const empty = document.createElement("p"); + empty.className = "muted"; + empty.textContent = "Empty"; + group.appendChild(empty); + return group; + } + for (const item of items.slice(0, 20)) { + const entry = document.createElement("pre"); + entry.textContent = formatter(item); + group.appendChild(entry); + } + return group; +} + +async function refreshMemory() { + try { + const response = await fetch("/api/memory?limit=50"); + const data = await response.json(); + renderMemory(data); + } catch (error) { + memoryInspectorEl.textContent = `Memory load failed: ${error.message}`; + } +} + +async function clearMemory() { + const payload = { + include_memories: document.getElementById("clear-memories").checked, + include_conversations: document.getElementById("clear-conversations").checked, + include_profile: document.getElementById("clear-profile").checked, + include_jobs: document.getElementById("clear-jobs").checked, + include_outbox: document.getElementById("clear-outbox").checked, + }; + if (!Object.values(payload).some(Boolean)) return; + const confirmed = window.confirm("Clear the selected TraderAI memory? This cannot be undone."); + if (!confirmed) return; + try { + const response = await fetch("/api/memory/clear", { + method: "POST", + headers: { "Content-Type": "application/json" }, + body: JSON.stringify(payload), + }); + const result = await response.json(); + renderMemory(result.memory); + addMessage("assistant", `Memory cleared:\n${JSON.stringify(result.deleted, null, 2)}`); + } catch (error) { + addMessage("assistant warning-message", `Memory clear failed: ${error.message}`); + } +} + +async function pollNotifications() { + try { + const response = await fetch("/api/notifications"); + const result = await response.json(); + for (const notification of result.notifications || []) { + addMessage("assistant", notification.content); + } + } catch { + // Notification polling should never interrupt chat. + } +} + +form.addEventListener("submit", async (event) => { + event.preventDefault(); + await sendMessage(); +}); + +input.addEventListener("keydown", async (event) => { + if (event.key === "Enter" && !event.shiftKey) { + event.preventDefault(); + await sendMessage(); + } +}); + +memoryRefreshButton.addEventListener("click", refreshMemory); +memoryClearButton.addEventListener("click", clearMemory); + +async function sendMessage() { + const message = input.value.trim(); + if (!message || input.disabled) return; + const healthy = await checkHealth(); + if (!healthy) { + addMessage("assistant warning-message", "Ollama is offline. Start Ollama, then try again."); + return; + } + input.value = ""; + input.disabled = true; + addMessage("user", message); + const assistantNode = addMessage("assistant streaming", ""); + let assistantText = ""; + statusEl.textContent = "Working"; + setActivity("Thinking", true); + try { + const response = await fetch("/api/chat/stream", { + method: "POST", + headers: { "Content-Type": "application/json" }, + body: JSON.stringify({ message }), + }); + if (!response.ok || !response.body) { + throw new Error(`HTTP ${response.status}`); + } + const reader = response.body.getReader(); + const decoder = new TextDecoder(); + let buffer = ""; + while (true) { + const { value, done } = await reader.read(); + if (done) break; + buffer += decoder.decode(value, { stream: true }); + const events = buffer.split("\n\n"); + buffer = events.pop() || ""; + for (const rawEvent of events) { + const line = rawEvent.split("\n").find((entry) => entry.startsWith("data: ")); + if (!line) continue; + const event = JSON.parse(line.slice(6)); + if (event.type === "status") { + setActivity(event.message, true); + } else if (event.type === "warning") { + setWarning(event.message); + assistantText += event.message; + setMessageMarkdown(assistantNode, assistantText); + } else if (event.type === "token") { + assistantText += event.content; + setMessageMarkdown(assistantNode, assistantText); + messages.scrollTop = messages.scrollHeight; + } else if (event.type === "done") { + renderPending(event.pending_actions || []); + } + } + } + } catch (error) { + const message = error.message.includes("503") + ? "Ollama is offline or unreachable. Start Ollama, then try again." + : `Chat failed: ${error.message}`; + setWarning(message); + setMessageMarkdown(assistantNode, message); + } finally { + assistantNode.classList.remove("streaming"); + input.disabled = false; + input.focus(); + statusEl.textContent = "Ready"; + setActivity(""); + } +} + +addMessage("assistant", "Tell me what to find or draft on UEX. I will ask for approval before sending anything."); +refreshPending(); +refreshMemory(); +pollNotifications(); +checkHealth(); +setInterval(checkHealth, 30000); +setInterval(pollNotifications, 15000); diff --git a/web/index.html b/web/index.html new file mode 100644 index 0000000..465e8e8 --- /dev/null +++ b/web/index.html @@ -0,0 +1,53 @@ + + + + + + TraderAI + + + +
+
+
+
+

TraderAI

+

Local Ollama chat for UEX marketplace work

+
+
Ready
+
+ +
+
+
+
+ + +
+
+
+ +
+ + + diff --git a/web/styles.css b/web/styles.css new file mode 100644 index 0000000..f8884fb --- /dev/null +++ b/web/styles.css @@ -0,0 +1,383 @@ +:root { + color-scheme: dark; + --bg: #111316; + --panel: #191d22; + --panel-2: #20262d; + --text: #edf1f5; + --muted: #97a1ad; + --accent: #44c2a5; + --accent-2: #e6b94d; + --border: #303842; + --danger: #e66b6b; +} + +* { + box-sizing: border-box; +} + +body { + margin: 0; + min-height: 100vh; + background: var(--bg); + color: var(--text); + font-family: Inter, Segoe UI, Arial, sans-serif; +} + +.shell { + display: grid; + grid-template-columns: minmax(0, 1fr) 360px; + gap: 1px; + min-height: 100vh; + background: var(--border); +} + +.workspace, +.actions { + background: var(--panel); +} + +.workspace { + display: grid; + grid-template-rows: auto 1fr auto; + min-width: 0; +} + +.topbar { + display: flex; + align-items: center; + justify-content: space-between; + gap: 16px; + padding: 18px 22px; + border-bottom: 1px solid var(--border); +} + +h1, +h2, +p { + margin: 0; +} + +h1 { + font-size: 22px; + font-weight: 700; +} + +h2 { + font-size: 16px; + margin-bottom: 14px; +} + +.topbar p, +.muted { + color: var(--muted); + font-size: 13px; +} + +.status { + min-width: 76px; + padding: 7px 10px; + border: 1px solid var(--border); + border-radius: 6px; + color: var(--muted); + font-size: 13px; + text-align: center; +} + +.warning { + padding: 10px 22px; + border-bottom: 1px solid rgba(230, 185, 77, 0.32); + background: rgba(230, 185, 77, 0.11); + color: #f0d28a; + font-size: 13px; +} + +.messages { + overflow: auto; + padding: 22px; +} + +.message { + max-width: 900px; + margin-bottom: 14px; + padding: 13px 14px; + border: 1px solid var(--border); + border-radius: 8px; + line-height: 1.45; +} + +.message p { + margin: 0 0 8px; +} + +.message p:last-child, +.message ul:last-child { + margin-bottom: 0; +} + +.message ul { + margin: 0 0 10px 20px; + padding: 0; +} + +.message li { + margin: 3px 0; +} + +.message li.nested { + margin-left: 20px; + color: #d7dde4; +} + +.message strong { + color: #ffffff; +} + +.message h3 { + margin: 12px 0 8px; + font-size: 15px; + line-height: 1.3; +} + +.message hr { + height: 1px; + margin: 12px 0; + border: 0; + background: var(--border); +} + +.message code { + padding: 1px 5px; + border: 1px solid var(--border); + border-radius: 4px; + background: #0e1114; + color: #dfe5eb; + font-family: Consolas, Monaco, monospace; + font-size: 0.92em; +} + +.message.user { + margin-left: auto; + background: var(--panel-2); +} + +.message.assistant { + background: #15191e; +} + +.message.warning-message { + border-color: rgba(230, 185, 77, 0.42); + background: rgba(230, 185, 77, 0.1); +} + +.composer-wrap { + border-top: 1px solid var(--border); +} + +.activity { + min-height: 24px; + padding: 7px 16px 0; + color: rgba(151, 161, 173, 0.72); + font-size: 12px; +} + +.working-dots { + display: inline-flex; + align-items: center; + gap: 4px; + margin-left: 8px; + transform: translateY(-1px); +} + +.working-dots i { + width: 4px; + height: 4px; + border-radius: 50%; + background: rgba(151, 161, 173, 0.8); + animation: pulse-dot 1.2s infinite ease-in-out; +} + +.working-dots i:nth-child(2) { + animation-delay: 0.16s; +} + +.working-dots i:nth-child(3) { + animation-delay: 0.32s; +} + +@keyframes pulse-dot { + 0%, + 80%, + 100% { + opacity: 0.3; + transform: translateY(0); + } + 40% { + opacity: 1; + transform: translateY(-2px); + } +} + +.composer { + display: grid; + grid-template-columns: 1fr auto; + gap: 12px; + padding: 16px; +} + +textarea { + width: 100%; + resize: vertical; + min-height: 48px; + max-height: 180px; + padding: 12px; + border: 1px solid var(--border); + border-radius: 8px; + outline: none; + background: #101316; + color: var(--text); + font: inherit; +} + +textarea:disabled { + opacity: 0.62; +} + +button { + min-width: 92px; + border: 0; + border-radius: 8px; + background: var(--accent); + color: #07110f; + font-weight: 700; + cursor: pointer; +} + +button.secondary { + min-width: 0; + padding: 9px 12px; + border: 1px solid var(--border); + background: transparent; + color: var(--text); +} + +.small-button { + min-width: 0; + padding: 6px 9px; + font-size: 12px; +} + +.danger-button { + width: 100%; + min-width: 0; + padding: 9px 10px; + margin: 10px 0; + border: 1px solid rgba(230, 107, 107, 0.45); + background: rgba(230, 107, 107, 0.14); + color: #f0b1b1; +} + +.actions { + padding: 18px; + overflow: auto; +} + +.side-section { + margin-bottom: 22px; +} + +.section-title-row { + display: flex; + align-items: center; + justify-content: space-between; + gap: 10px; +} + +.memory-controls { + display: grid; + grid-template-columns: 1fr 1fr; + gap: 6px 10px; + color: var(--muted); + font-size: 12px; +} + +.memory-controls label { + display: flex; + align-items: center; + gap: 6px; +} + +.memory-inspector { + font-size: 12px; +} + +.memory-counts { + color: var(--text); + margin-bottom: 6px; +} + +.memory-path { + overflow-wrap: anywhere; + color: var(--muted); + margin-bottom: 10px; +} + +.memory-group { + margin-bottom: 8px; + border: 1px solid var(--border); + border-radius: 8px; + background: #15191e; +} + +.memory-group summary { + cursor: pointer; + padding: 9px 10px; + color: var(--text); +} + +.memory-group pre { + margin: 0 10px 10px; + white-space: pre-wrap; +} + +.pending-empty { + color: var(--muted); + font-size: 13px; +} + +.pending-card { + padding: 12px; + margin-bottom: 12px; + border: 1px solid var(--border); + border-radius: 8px; + background: #15191e; +} + +.pending-card strong { + display: block; + margin-bottom: 8px; +} + +pre { + overflow: auto; + max-height: 240px; + padding: 10px; + border-radius: 6px; + background: #0e1114; + color: #dfe5eb; + font-size: 12px; +} + +.pending-card button { + width: 100%; + padding: 10px; +} + +@media (max-width: 860px) { + .shell { + grid-template-columns: 1fr; + } + + .actions { + border-top: 1px solid var(--border); + } +}