refactor: rewrite to CoinHunter V2 flat architecture
Replace the V1 commands/services split with a flat, direct architecture: - cli.py dispatches directly to service functions - New services: account, market, trade, opportunity - Thin Binance wrappers: spot_client, um_futures_client - Add audit logging, runtime paths, and TOML config - Remove legacy V1 code: commands/, precheck, review engine, smart executor - Add ruff + mypy toolchain and fix edge cases in trade params Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
29
.gitignore
vendored
29
.gitignore
vendored
@@ -1,8 +1,35 @@
|
||||
# Python
|
||||
__pycache__/
|
||||
*.pyc
|
||||
*.py[cod]
|
||||
*$py.class
|
||||
.pytest_cache/
|
||||
.mypy_cache/
|
||||
.ruff_cache/
|
||||
.coverage
|
||||
htmlcov/
|
||||
|
||||
# Virtual environments
|
||||
.venv/
|
||||
venv/
|
||||
|
||||
# Build artifacts
|
||||
dist/
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||||
build/
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||||
*.egg-info/
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||||
|
||||
# IDE / editors
|
||||
.vscode/
|
||||
.idea/
|
||||
*.swp
|
||||
*.swo
|
||||
*~
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||||
|
||||
# OS files
|
||||
.DS_Store
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||||
|
||||
# Secrets / local env
|
||||
.env
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||||
*.env
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||||
|
||||
# Claude local overrides
|
||||
.claude/skills/gstack/
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||||
|
||||
134
CLAUDE.md
134
CLAUDE.md
@@ -4,111 +4,59 @@ This file provides guidance to Claude Code (claude.ai/code) when working with co
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||||
|
||||
## Development commands
|
||||
|
||||
- **Editable install:** `pip install -e .`
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||||
- **Run the CLI locally:** `python -m coinhunter --help`
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||||
- **Install for end users:** `pipx install coinhunter` (recommended) or `./scripts/install_local.sh` for local editable install.
|
||||
- **Tests:** There is no test suite yet. The README lists next priorities as adding pytest coverage for runtime paths, state manager, and trigger analyzer.
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||||
- **Lint / type-check:** Not configured yet.
|
||||
|
||||
## CLI command routing
|
||||
|
||||
`src/coinhunter/cli.py` is the single entrypoint. It resolves aliases to canonical commands, maps canonical commands to Python modules via `MODULE_MAP`, then imports the module and calls `module.main()` after mutating `sys.argv` to match the display name.
|
||||
|
||||
Active commands live in `src/coinhunter/commands/` and are thin adapters that delegate to `src/coinhunter/services/`. Root-level backward-compat facades (e.g., `precheck.py`, `smart_executor.py`, `review_engine.py`, `review_context.py`) re-export the moved commands.
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||||
- **Install (dev):** `pip install -e ".[dev]"`
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- **Run CLI locally:** `python -m coinhunter --help`
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- **Run tests:** `pytest` or `python -m pytest tests/`
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- **Run single test file:** `pytest tests/test_cli.py -v`
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||||
- **Lint:** `ruff check src tests`
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- **Format:** `ruff format src tests`
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||||
- **Type-check:** `mypy src`
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||||
|
||||
## Architecture
|
||||
|
||||
### Layer responsibilities
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CoinHunter V2 is a Binance-first crypto trading CLI with a flat, direct architecture:
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|
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- **CLI (`cli.py`)** — argument parsing, alias resolution, module dispatch.
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- **Commands (`commands/`)** — thin, stateless adapters that call into services.
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- **Services (`services/`)** — orchestration, domain logic, and exchange interaction.
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- **Runtime (`runtime.py`)** — path resolution, env loading, hermes binary discovery.
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- **Logger (`logger.py`)** — structured JSONL logging to `~/.coinhunter/logs/`.
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- **`src/coinhunter/cli.py`** — Single entrypoint (`main()`). Uses `argparse` to parse commands and directly dispatches to service functions. There is no separate `commands/` adapter layer.
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- **`src/coinhunter/services/`** — Contains all domain logic:
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- `account_service.py` — balances, positions, overview
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- `market_service.py` — tickers, klines, scan universe, symbol normalization
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- `trade_service.py` — spot and USDT-M futures order execution
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- `opportunity_service.py` — portfolio recommendations and market scanning
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- **`src/coinhunter/binance/`** — Thin wrappers around official Binance connectors:
|
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- `spot_client.py` wraps `binance.spot.Spot`
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- `um_futures_client.py` wraps `binance.um_futures.UMFutures`
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Both normalize request errors into `RuntimeError` and handle single/multi-symbol ticker responses.
|
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- **`src/coinhunter/config.py`** — `load_config()`, `get_binance_credentials()`, `ensure_init_files()`.
|
||||
- **`src/coinhunter/runtime.py`** — `RuntimePaths`, `get_runtime_paths()`, `print_json()`.
|
||||
- **`src/coinhunter/audit.py`** — Writes JSONL audit events to dated files.
|
||||
|
||||
### Runtime and environment
|
||||
## Runtime and environment
|
||||
|
||||
`runtime.py` defines `RuntimePaths` and `get_runtime_paths()`. User data lives in `~/.coinhunter/` by default (override with `COINHUNTER_HOME`). Credentials are loaded from `~/.hermes/.env` by default (override with `COINHUNTER_ENV_FILE`). Modules should call `get_runtime_paths()` at function scope rather than eagerly at import time.
|
||||
User data lives in `~/.coinhunter/` by default (override with `COINHUNTER_HOME`):
|
||||
|
||||
### Smart executor (`exec`)
|
||||
- `config.toml` — runtime, binance, trading, and opportunity settings
|
||||
- `.env` — `BINANCE_API_KEY` and `BINANCE_API_SECRET`
|
||||
- `logs/audit_YYYYMMDD.jsonl` — structured audit log
|
||||
|
||||
`commands/smart_executor.py` → `services/smart_executor_service.py` → `services/trade_execution.py`.
|
||||
Run `coinhunter init` to generate the config and env templates.
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||||
|
||||
Supported verbs: `bal`, `overview`, `hold`, `buy SYMBOL USDT`, `flat SYMBOL`, `rotate FROM TO`.
|
||||
## Key conventions
|
||||
|
||||
- `smart_executor_parser.py` normalizes legacy argv and exposes `parse_cli_args()`.
|
||||
- `trade_common.py` holds a global dry-run flag (`set_dry_run` / `is_dry_run`).
|
||||
- `execution_state.py` tracks decision IDs in JSON to prevent duplicate executions.
|
||||
- `exchange_service.py` wraps `ccxt.binance` and handles symbol normalization.
|
||||
- `portfolio_service.py` manages `positions.json` load/save/reconcile.
|
||||
- **Symbol normalization:** `market_service.normalize_symbol()` strips `/`, `-`, `_`, and uppercases the symbol. CLI inputs like `ETH/USDT`, `eth-usdt`, and `ETHUSDT` are all normalized to `ETHUSDT`.
|
||||
- **Dry-run behavior:** Trade commands support `--dry-run`. If omitted, the default falls back to `trading.dry_run_default` in `config.toml`.
|
||||
- **Client injection:** Service functions accept `spot_client` / `futures_client` as keyword arguments. This enables easy unit testing with mocks.
|
||||
- **Error handling:** Binance client wrappers catch `requests.exceptions.SSLError` and `RequestException` and re-raise as human-readable `RuntimeError`. The CLI catches all exceptions in `main()` and prints `error: {message}` to stderr with exit code 1.
|
||||
|
||||
### Precheck
|
||||
## Testing
|
||||
|
||||
`commands/precheck.py` → `services/precheck_service.py`.
|
||||
Tests live in `tests/` and use `unittest.TestCase` with `unittest.mock.patch`. The test suite covers:
|
||||
|
||||
The precheck workflow:
|
||||
1. Load and sanitize state (`precheck_state.py` — clears stale triggers and run requests).
|
||||
2. Build a market snapshot (`precheck_snapshot.py` → `snapshot_builder.py`).
|
||||
3. Analyze whether to trigger deep analysis (`precheck_analysis.py` → `trigger_analyzer.py`).
|
||||
4. Update and save state (`precheck_state.update_state_after_observation`).
|
||||
- `test_cli.py` — parser smoke tests and dispatch behavior
|
||||
- `test_config_runtime.py` — config loading, env parsing, path resolution
|
||||
- `test_account_market_services.py` — balance/position/ticker/klines logic with mocked clients
|
||||
- `test_trade_service.py` — spot and futures trade execution paths
|
||||
- `test_opportunity_service.py` — portfolio and scan scoring logic
|
||||
|
||||
State is stored in `~/.coinhunter/state/precheck_state.json`.
|
||||
## Notes
|
||||
|
||||
### Review commands
|
||||
|
||||
- `review N` (`commands/review_context.py` → `services/review_service.py`) — generates review context for the last N hours.
|
||||
- `recap N` (`commands/review_engine.py` → `services/review_service.py`) — generates a full review report by reading JSONL decision/trade/error logs, computing PnL estimates, missed opportunities, and saving a report to `~/.coinhunter/reviews/`.
|
||||
|
||||
### Logging model
|
||||
|
||||
`logger.py` writes JSONL to dated files in `~/.coinhunter/logs/`:
|
||||
- `decisions_YYYYMMDD.jsonl`
|
||||
- `trades_YYYYMMDD.jsonl`
|
||||
- `errors_YYYYMMDD.jsonl`
|
||||
- `snapshots_YYYYMMDD.jsonl`
|
||||
|
||||
Use `get_logs_last_n_hours(log_type, hours)` to query recent entries.
|
||||
|
||||
## Common command reference
|
||||
|
||||
```bash
|
||||
# Diagnostics
|
||||
python -m coinhunter diag
|
||||
python -m coinhunter paths
|
||||
python -m coinhunter api-check
|
||||
|
||||
# Execution (dry-run)
|
||||
python -m coinhunter exec bal
|
||||
python -m coinhunter exec overview
|
||||
python -m coinhunter exec buy ENJUSDT 50 --dry-run
|
||||
python -m coinhunter exec flat ENJUSDT --dry-run
|
||||
|
||||
# Precheck
|
||||
python -m coinhunter precheck
|
||||
python -m coinhunter precheck --ack "analysis completed"
|
||||
python -m coinhunter precheck --mark-run-requested "reason"
|
||||
|
||||
# Review
|
||||
python -m coinhunter review 12
|
||||
python -m coinhunter recap 12
|
||||
```
|
||||
|
||||
## Skill routing
|
||||
|
||||
When the user's request matches an available skill, ALWAYS invoke it using the Skill
|
||||
tool as your FIRST action. Do NOT answer directly, do NOT use other tools first.
|
||||
The skill has specialized workflows that produce better results than ad-hoc answers.
|
||||
|
||||
Key routing rules:
|
||||
- Product ideas, "is this worth building", brainstorming → invoke office-hours
|
||||
- Bugs, errors, "why is this broken", 500 errors → invoke investigate
|
||||
- Ship, deploy, push, create PR → invoke ship
|
||||
- QA, test the site, find bugs → invoke qa
|
||||
- Code review, check my diff → invoke review
|
||||
- Update docs after shipping → invoke document-release
|
||||
- Weekly retro → invoke retro
|
||||
- Design system, brand → invoke design-consultation
|
||||
- Visual audit, design polish → invoke design-review
|
||||
- Architecture review → invoke plan-eng-review
|
||||
- Save progress, checkpoint, resume → invoke checkpoint
|
||||
- Code quality, health check → invoke health
|
||||
- `AGENTS.md` in this repo is stale and describes a prior V1 architecture (commands/, smart executor, precheck, review engine). Do not rely on it.
|
||||
|
||||
339
README.md
339
README.md
@@ -3,318 +3,111 @@
|
||||
</p>
|
||||
|
||||
<p align="center">
|
||||
<img src="https://readme-typing-svg.demolab.com?font=JetBrains+Mono&weight=500&size=22&duration=2800&pause=800&color=F7B93E¢er=true&vCenter=true&width=600&lines=Spot+Trading+Orchestration+for+Terminal+Cowboys;Precheck+%E2%86%92+Execute+%E2%86%92+Review+%E2%86%92+Repeat;JSON-first+CLI+with+Dry-run+Safety" alt="Typing SVG" />
|
||||
<img src="https://readme-typing-svg.demolab.com?font=JetBrains+Mono&weight=500&size=22&duration=2800&pause=800&color=F7B93E¢er=true&vCenter=true&width=600&lines=Binance-first+Trading+CLI;Account+%E2%86%92+Market+%E2%86%92+Trade+%E2%86%92+Opportunity;JSON-first+with+Dry-run+Safety" alt="Typing SVG" />
|
||||
</p>
|
||||
|
||||
<p align="center">
|
||||
<strong>Runtime-safe trading operations, precheck orchestration, review tooling, and market probes.</strong>
|
||||
<strong>A Binance-first crypto trading CLI for balances, market data, opportunity scanning, and execution.</strong>
|
||||
</p>
|
||||
|
||||
<p align="center">
|
||||
<a href="https://pypi.org/project/coinhunter/"><img src="https://img.shields.io/pypi/v/coinhunter?style=flat-square&color=F7B93E&labelColor=1a1a1a" /></a>
|
||||
<a href="#"><img src="https://img.shields.io/badge/python-3.10%2B-3776ab?style=flat-square&logo=python&logoColor=white&labelColor=1a1a1a" /></a>
|
||||
<a href="#"><img src="https://img.shields.io/badge/tests-96%20passed-22c55e?style=flat-square&labelColor=1a1a1a" /></a>
|
||||
<a href="#"><img src="https://img.shields.io/badge/tests-passing-22c55e?style=flat-square&labelColor=1a1a1a" /></a>
|
||||
<a href="#"><img src="https://img.shields.io/badge/lint-ruff%20%2B%20mypy-8b5cf6?style=flat-square&labelColor=1a1a1a" /></a>
|
||||
</p>
|
||||
|
||||
---
|
||||
|
||||
## What is this?
|
||||
|
||||
`coinhunter` is the **executable tooling layer** for CoinHunter — an installable Python CLI that handles trading operations, market probes, precheck orchestration, and review workflows.
|
||||
|
||||
> **Note:** The old package name `coinhunter-cli` is deprecated. Please install `coinhunter` going forward.
|
||||
|
||||
| Layer | Responsibility | Location |
|
||||
|-------|----------------|----------|
|
||||
| **CLI** | Top-level command router | `cli.py` |
|
||||
| **Commands** | Thin argument adapters | `commands/` |
|
||||
| **Services** | Orchestration & execution logic | `services/` |
|
||||
| **Runtime** | Paths, env, locks, config | `runtime.py` |
|
||||
| **User Data** | State, logs, reviews, positions | `~/.coinhunter/` |
|
||||
|
||||
> **Separation of concerns:** Code lives in this repo. Your data lives in `~/.coinhunter/`. Strategy and prompting live in Hermes skills.
|
||||
|
||||
---
|
||||
|
||||
## Project Structure
|
||||
|
||||
```text
|
||||
src/coinhunter/
|
||||
├── cli.py # Unified command router
|
||||
├── runtime.py # Runtime paths + env loading
|
||||
├── logger.py # Structured logging utilities
|
||||
├── commands/ # CLI adapters (thin, stateless)
|
||||
│ ├── precheck.py
|
||||
│ ├── smart_executor.py
|
||||
│ ├── check_api.py
|
||||
│ ├── doctor.py
|
||||
│ ├── external_gate.py
|
||||
│ ├── init_user_state.py
|
||||
│ ├── market_probe.py
|
||||
│ ├── paths.py
|
||||
│ ├── review_context.py
|
||||
│ ├── review_engine.py
|
||||
│ └── rotate_external_gate_log.py
|
||||
├── services/ # Orchestration & domain logic
|
||||
│ ├── exchange_service.py
|
||||
│ ├── portfolio_service.py
|
||||
│ ├── trade_execution.py
|
||||
│ ├── smart_executor_service.py
|
||||
│ ├── smart_executor_parser.py
|
||||
│ ├── execution_state.py
|
||||
│ ├── precheck_service.py
|
||||
│ ├── review_service.py # review generation logic
|
||||
│ ├── precheck_constants.py # thresholds
|
||||
│ ├── time_utils.py # UTC/local time helpers
|
||||
│ ├── data_utils.py # json, hash, float, symbol norm
|
||||
│ ├── state_manager.py # state load/save/sanitize
|
||||
│ ├── market_data.py # exchange, OHLCV, metrics
|
||||
│ ├── candidate_scoring.py # coin selection & scoring
|
||||
│ ├── snapshot_builder.py # precheck snapshot construction
|
||||
│ ├── adaptive_profile.py # trigger profile builder
|
||||
│ ├── trigger_analyzer.py # trigger analysis core
|
||||
│ ├── precheck_analysis.py # failure payloads
|
||||
│ ├── precheck_snapshot.py # snapshot facade
|
||||
│ ├── precheck_state.py # state facade
|
||||
│ └── precheck_core.py # backward-compat export facade
|
||||
├── precheck.py # Backward-compat root facade
|
||||
├── smart_executor.py # Backward-compat root facade
|
||||
└── *.py # Other compat / utility modules
|
||||
```
|
||||
|
||||
---
|
||||
|
||||
## Installation
|
||||
|
||||
### From PyPI (recommended)
|
||||
|
||||
`coinhunter` is a standalone CLI application. Use [pipx](https://pypa.github.io/pipx/) to install it in an isolated environment:
|
||||
|
||||
```bash
|
||||
pipx install coinhunter
|
||||
```
|
||||
|
||||
This installs the latest stable release and creates the `coinhunter` console script entry point.
|
||||
|
||||
Verify:
|
||||
|
||||
```bash
|
||||
coinhunter --help
|
||||
coinhunter --version
|
||||
```
|
||||
|
||||
> On newer Linux distributions, installing directly into the system Python with `pip install coinhunter` will fail with `externally-managed-environment`. Use `pipx` or a virtual environment instead.
|
||||
|
||||
### Development install (editable)
|
||||
|
||||
If you're working on this repo locally:
|
||||
## Install
|
||||
|
||||
```bash
|
||||
pip install -e ".[dev]"
|
||||
coinhunter --help
|
||||
```
|
||||
|
||||
Or use the convenience script:
|
||||
|
||||
```bash
|
||||
./scripts/install_local.sh
|
||||
```
|
||||
|
||||
A thin wrapper that runs `pip install -e .` and verifies the entrypoint is on your PATH.
|
||||
|
||||
---
|
||||
|
||||
## Command Reference
|
||||
|
||||
### Short aliases (recommended)
|
||||
|
||||
```bash
|
||||
coinhunter diag # runtime diagnostics
|
||||
coinhunter paths # print resolved paths
|
||||
coinhunter api-check # validate exchange credentials
|
||||
coinhunter precheck # run precheck snapshot + trigger analysis
|
||||
coinhunter exec bal # print balances as JSON
|
||||
coinhunter exec overview # account overview as JSON
|
||||
coinhunter exec hold # record a HOLD decision
|
||||
coinhunter exec buy ENJUSDT 50 # buy $50 of ENJUSDT
|
||||
coinhunter exec flat ENJUSDT # sell entire ENJUSDT position
|
||||
coinhunter exec rotate PEPEUSDT ETHUSDT # rotate exposure
|
||||
coinhunter exec orders # list open spot orders
|
||||
coinhunter exec order-status ENJUSDT 123456 # check specific order
|
||||
coinhunter exec cancel ENJUSDT 123456 # cancel an open order
|
||||
coinhunter gate # external gate orchestration
|
||||
coinhunter review 12 # generate review context (last 12h)
|
||||
coinhunter recap 12 # generate review report (last 12h)
|
||||
coinhunter probe bybit-ticker BTCUSDT # market probe
|
||||
coinhunter rotate-log # rotate external gate logs
|
||||
```
|
||||
|
||||
### Legacy long forms (still supported)
|
||||
|
||||
```bash
|
||||
coinhunter doctor
|
||||
coinhunter check-api
|
||||
coinhunter smart-executor bal
|
||||
coinhunter review-context 12
|
||||
coinhunter review-engine 12
|
||||
coinhunter market-probe bybit-ticker BTCUSDT
|
||||
coinhunter external-gate
|
||||
coinhunter rotate-external-gate-log
|
||||
```
|
||||
|
||||
### All supported commands
|
||||
|
||||
| Canonical | Aliases |
|
||||
|-----------|---------|
|
||||
| `check-api` | `api-check` |
|
||||
| `doctor` | `diag` |
|
||||
| `external-gate` | `gate` |
|
||||
| `init` | — |
|
||||
| `market-probe` | `probe` |
|
||||
| `paths` | — |
|
||||
| `precheck` | — |
|
||||
| `review-context` | `review` |
|
||||
| `review-engine` | `recap` |
|
||||
| `rotate-external-gate-log` | `rotate-gate-log`, `rotate-log` |
|
||||
| `smart-executor` | `exec` |
|
||||
|
||||
---
|
||||
|
||||
## Quickstart
|
||||
|
||||
Initialize runtime state:
|
||||
## Initialize runtime
|
||||
|
||||
```bash
|
||||
coinhunter init
|
||||
coinhunter init --force
|
||||
```
|
||||
|
||||
Inspect the environment:
|
||||
This creates:
|
||||
|
||||
- `~/.coinhunter/config.toml`
|
||||
- `~/.coinhunter/.env`
|
||||
- `~/.coinhunter/logs/`
|
||||
|
||||
`config.toml` stores runtime and strategy settings. `.env` stores:
|
||||
|
||||
```bash
|
||||
coinhunter paths
|
||||
coinhunter diag
|
||||
BINANCE_API_KEY=
|
||||
BINANCE_API_SECRET=
|
||||
```
|
||||
|
||||
Validate API keys:
|
||||
Override the default home directory with `COINHUNTER_HOME`.
|
||||
|
||||
## Commands
|
||||
|
||||
```bash
|
||||
coinhunter api-check
|
||||
# Account
|
||||
coinhunter account overview
|
||||
coinhunter account balances --spot --futures
|
||||
coinhunter account positions --spot
|
||||
|
||||
# Market
|
||||
coinhunter market tickers BTCUSDT ETH/USDT sol-usdt
|
||||
coinhunter market klines BTCUSDT ETHUSDT --interval 1h --limit 50
|
||||
|
||||
# Trade (Spot)
|
||||
coinhunter trade spot buy BTCUSDT --quote 100 --dry-run
|
||||
coinhunter trade spot sell BTCUSDT --qty 0.01 --type limit --price 90000
|
||||
|
||||
# Trade (Futures)
|
||||
coinhunter trade futures buy BTCUSDT --qty 0.01 --dry-run
|
||||
coinhunter trade futures sell BTCUSDT --qty 0.01 --reduce-only
|
||||
coinhunter trade futures close BTCUSDT
|
||||
|
||||
# Opportunities
|
||||
coinhunter opportunity portfolio
|
||||
coinhunter opportunity scan
|
||||
coinhunter opportunity scan --symbols BTCUSDT ETHUSDT SOLUSDT
|
||||
```
|
||||
|
||||
Run the precheck workflow:
|
||||
## Architecture
|
||||
|
||||
```bash
|
||||
coinhunter precheck
|
||||
coinhunter precheck --ack "analysis completed"
|
||||
```
|
||||
CoinHunter V2 uses a flat, direct architecture:
|
||||
|
||||
Run the external gate:
|
||||
| Layer | Responsibility | Key Files |
|
||||
|-------|----------------|-----------|
|
||||
| **CLI** | Single entrypoint, argument parsing | `cli.py` |
|
||||
| **Binance** | Thin API wrappers with unified error handling | `binance/spot_client.py`, `binance/um_futures_client.py` |
|
||||
| **Services** | Domain logic | `services/account_service.py`, `services/market_service.py`, `services/trade_service.py`, `services/opportunity_service.py` |
|
||||
| **Config** | TOML config, `.env` secrets, path resolution | `config.py` |
|
||||
| **Runtime** | Paths, JSON helpers | `runtime.py` |
|
||||
| **Audit** | Structured JSONL logging | `audit.py` |
|
||||
|
||||
```bash
|
||||
coinhunter gate
|
||||
```
|
||||
## Logging
|
||||
|
||||
The gate reads `trigger_command` from `~/.coinhunter/config.json` under `external_gate`.
|
||||
- By default, no external trigger is configured — gate runs precheck and marks state, then exits cleanly.
|
||||
- Set `trigger_command` to a command list to integrate with your own scheduler:
|
||||
|
||||
```json
|
||||
{
|
||||
"external_gate": {
|
||||
"trigger_command": ["hermes", "cron", "run", "JOB_ID"]
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
- Set to `null` or `[]` to explicitly disable the external trigger.
|
||||
|
||||
### Dynamic tuning via `config.json`
|
||||
|
||||
You can override internal defaults without editing code by adding keys to `~/.coinhunter/config.json`:
|
||||
|
||||
```json
|
||||
{
|
||||
"external_gate": {
|
||||
"trigger_command": ["hermes", "cron", "run", "JOB_ID"]
|
||||
},
|
||||
"exchange": {
|
||||
"min_quote_volume": 200000,
|
||||
"cache_ttl_seconds": 3600
|
||||
},
|
||||
"logging": {
|
||||
"schema_version": 2
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
| Key | Default | Effect |
|
||||
|-----|---------|--------|
|
||||
| `exchange.min_quote_volume` | `200000` | Minimum 24h quote volume for a symbol to appear in market snapshots |
|
||||
| `exchange.cache_ttl_seconds` | `3600` | How long the ccxt exchange instance (and `load_markets()` result) is cached |
|
||||
| `logging.schema_version` | `2` | Schema version stamped on every JSONL log entry |
|
||||
|
||||
---
|
||||
|
||||
## Runtime Model
|
||||
|
||||
Default data layout:
|
||||
Audit logs are written to:
|
||||
|
||||
```text
|
||||
~/.coinhunter/
|
||||
├── config.json
|
||||
├── positions.json
|
||||
├── accounts.json
|
||||
├── watchlist.json
|
||||
├── notes.json
|
||||
├── executions.json
|
||||
├── logs/
|
||||
├── reviews/
|
||||
├── cache/
|
||||
└── state/
|
||||
├── precheck_state.json
|
||||
└── external_gate.lock
|
||||
~/.coinhunter/logs/audit_YYYYMMDD.jsonl
|
||||
```
|
||||
|
||||
Credential resolution:
|
||||
Events include:
|
||||
|
||||
- Binance API keys are read from `~/.hermes/.env` by default.
|
||||
- Override with `COINHUNTER_ENV_FILE`.
|
||||
- Override home with `COINHUNTER_HOME` or `HERMES_HOME`.
|
||||
- `hermes` binary is resolved from `PATH`, then `~/.local/bin/hermes`, unless `HERMES_BIN` is set.
|
||||
- `trade_submitted`
|
||||
- `trade_filled`
|
||||
- `trade_failed`
|
||||
- `opportunity_portfolio_generated`
|
||||
- `opportunity_scan_generated`
|
||||
|
||||
---
|
||||
## Development
|
||||
|
||||
## Development Status
|
||||
|
||||
The codebase is actively maintained and refactored in small, safe steps.
|
||||
|
||||
**Recently completed:**
|
||||
- ✅ Unified CLI entrypoint with short aliases
|
||||
- ✅ Extracted `smart-executor` into `commands/` + `services/`
|
||||
- ✅ Extracted `precheck` into 9 focused service modules
|
||||
- ✅ Migrated all active command modules into `commands/`
|
||||
- ✅ Extracted `review_engine.py` core logic into `services/review_service.py`
|
||||
- ✅ Removed eager `PATHS` instantiation across services and commands
|
||||
- ✅ Fixed `smart_executor.py` lazy-loading facade
|
||||
- ✅ Standardized install to use `pip install -e .`
|
||||
- ✅ Made `external_gate` trigger_command configurable (no longer hardcodes hermes)
|
||||
- ✅ Removed dead `auto-trader` command
|
||||
- ✅ Backward-compatible root facades preserved
|
||||
|
||||
**Next priorities:**
|
||||
- 🔧 Add basic CI (lint + compileall + pytest)
|
||||
- 🔧 Unify output contract (JSON-first with `--pretty` option)
|
||||
|
||||
---
|
||||
|
||||
## Philosophy
|
||||
|
||||
CoinHunter is evolving toward:
|
||||
|
||||
- **Professional execution** — scientific position sizing, not moonshot gambling
|
||||
- **Maintainable architecture** — clear boundaries between CLI, services, and domain logic
|
||||
- **Safer operations** — dry-run, validation gates, and explicit decision logging
|
||||
- **Agent-friendly interfaces** — stable JSON outputs and predictable command contracts
|
||||
- **Less dependence on prompt-only correctness** — logic belongs in code, not just in system prompts
|
||||
|
||||
This repo is where that evolution happens.
|
||||
```bash
|
||||
pytest tests/ # run tests
|
||||
ruff check src tests # lint
|
||||
mypy src # type check
|
||||
```
|
||||
|
||||
@@ -4,20 +4,26 @@ build-backend = "setuptools.build_meta"
|
||||
|
||||
[project]
|
||||
name = "coinhunter"
|
||||
version = "1.0.0"
|
||||
description = "CoinHunter trading CLI with user runtime data in ~/.coinhunter"
|
||||
version = "2.0.0"
|
||||
description = "Binance-first trading CLI for balances, market data, opportunity scanning, and execution."
|
||||
readme = "README.md"
|
||||
license = {text = "MIT"}
|
||||
requires-python = ">=3.10"
|
||||
dependencies = [
|
||||
"ccxt>=4.4.0"
|
||||
"binance-connector>=3.9.0",
|
||||
"binance-futures-connector>=4.1.0",
|
||||
"tomli>=2.0.1; python_version < '3.11'",
|
||||
]
|
||||
authors = [
|
||||
{name = "Tacit Lab", email = "ouyangcarlos@gmail.com"}
|
||||
]
|
||||
|
||||
[project.optional-dependencies]
|
||||
dev = ["pytest>=8.0", "ruff>=0.4.0", "mypy>=1.0"]
|
||||
dev = [
|
||||
"pytest>=8.0",
|
||||
"ruff>=0.5.0",
|
||||
"mypy>=1.10.0",
|
||||
]
|
||||
|
||||
[project.scripts]
|
||||
coinhunter = "coinhunter.cli:main"
|
||||
@@ -28,16 +34,24 @@ package-dir = {"" = "src"}
|
||||
[tool.setuptools.packages.find]
|
||||
where = ["src"]
|
||||
|
||||
[tool.pytest.ini_options]
|
||||
testpaths = ["tests"]
|
||||
|
||||
[tool.ruff]
|
||||
line-length = 120
|
||||
target-version = "py310"
|
||||
line-length = 120
|
||||
|
||||
[tool.ruff.lint]
|
||||
select = ["E", "F", "W", "I"]
|
||||
select = ["E", "F", "I", "UP", "W"]
|
||||
ignore = ["E501"]
|
||||
|
||||
[tool.ruff.lint.pydocstyle]
|
||||
convention = "google"
|
||||
|
||||
[tool.mypy]
|
||||
python_version = "3.10"
|
||||
warn_return_any = true
|
||||
warn_unused_configs = true
|
||||
disallow_untyped_defs = true
|
||||
ignore_missing_imports = true
|
||||
exclude = [".venv", "build"]
|
||||
|
||||
@@ -1,30 +0,0 @@
|
||||
#!/usr/bin/env bash
|
||||
set -euo pipefail
|
||||
|
||||
# Standard local install using pip editable mode.
|
||||
# This creates the 'coinhunter' console script entry point as defined in pyproject.toml.
|
||||
|
||||
BIN_DIR="${COINHUNTER_BIN_DIR:-$HOME/.local/bin}"
|
||||
PYTHON_BIN="${PYTHON:-}"
|
||||
|
||||
if [[ -z "$PYTHON_BIN" ]]; then
|
||||
if command -v python3 >/dev/null 2>&1; then
|
||||
PYTHON_BIN="$(command -v python3)"
|
||||
elif command -v python >/dev/null 2>&1; then
|
||||
PYTHON_BIN="$(command -v python)"
|
||||
else
|
||||
echo "error: python3/python not found in PATH" >&2
|
||||
exit 1
|
||||
fi
|
||||
fi
|
||||
|
||||
mkdir -p "$BIN_DIR"
|
||||
|
||||
"$PYTHON_BIN" -m pip install --upgrade pip setuptools wheel
|
||||
"$PYTHON_BIN" -m pip install --upgrade -e "$(pwd)[dev]"
|
||||
|
||||
echo "Installed coinhunter in editable mode."
|
||||
echo " python: $PYTHON_BIN"
|
||||
echo " entrypoint: $(command -v coinhunter || echo 'not in PATH')"
|
||||
echo ""
|
||||
echo "Make sure '$BIN_DIR' is in your PATH if the entrypoint is not found."
|
||||
@@ -1 +1,3 @@
|
||||
__version__ = "0.1.0"
|
||||
"""CoinHunter V2."""
|
||||
|
||||
__version__ = "2.0.0"
|
||||
|
||||
39
src/coinhunter/audit.py
Normal file
39
src/coinhunter/audit.py
Normal file
@@ -0,0 +1,39 @@
|
||||
"""Audit logging for CoinHunter V2."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import json
|
||||
from datetime import datetime, timezone
|
||||
from pathlib import Path
|
||||
from typing import Any
|
||||
|
||||
from .config import load_config, resolve_log_dir
|
||||
from .runtime import RuntimePaths, ensure_runtime_dirs, get_runtime_paths, json_default
|
||||
|
||||
_audit_dir_cache: dict[str, Path] = {}
|
||||
|
||||
|
||||
def _resolve_audit_dir(paths: RuntimePaths) -> Path:
|
||||
key = str(paths.root)
|
||||
if key not in _audit_dir_cache:
|
||||
config = load_config(paths)
|
||||
_audit_dir_cache[key] = resolve_log_dir(config, paths)
|
||||
return _audit_dir_cache[key]
|
||||
|
||||
|
||||
def _audit_path(paths: RuntimePaths | None = None) -> Path:
|
||||
paths = ensure_runtime_dirs(paths or get_runtime_paths())
|
||||
logs_dir = _resolve_audit_dir(paths)
|
||||
logs_dir.mkdir(parents=True, exist_ok=True)
|
||||
return logs_dir / f"audit_{datetime.now(timezone.utc).strftime('%Y%m%d')}.jsonl"
|
||||
|
||||
|
||||
def audit_event(event: str, payload: dict[str, Any], paths: RuntimePaths | None = None) -> dict[str, Any]:
|
||||
entry = {
|
||||
"timestamp": datetime.now(timezone.utc).isoformat(),
|
||||
"event": event,
|
||||
**payload,
|
||||
}
|
||||
with _audit_path(paths).open("a", encoding="utf-8") as handle:
|
||||
handle.write(json.dumps(entry, ensure_ascii=False, default=json_default) + "\n")
|
||||
return entry
|
||||
1
src/coinhunter/binance/__init__.py
Normal file
1
src/coinhunter/binance/__init__.py
Normal file
@@ -0,0 +1 @@
|
||||
"""Official Binance connector wrappers."""
|
||||
75
src/coinhunter/binance/spot_client.py
Normal file
75
src/coinhunter/binance/spot_client.py
Normal file
@@ -0,0 +1,75 @@
|
||||
"""Thin wrapper around the official Binance Spot connector."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
from collections.abc import Callable
|
||||
from typing import Any
|
||||
|
||||
from requests.exceptions import RequestException, SSLError
|
||||
|
||||
|
||||
class SpotBinanceClient:
|
||||
def __init__(
|
||||
self,
|
||||
*,
|
||||
api_key: str,
|
||||
api_secret: str,
|
||||
base_url: str,
|
||||
recv_window: int,
|
||||
client: Any | None = None,
|
||||
) -> None:
|
||||
self.recv_window = recv_window
|
||||
if client is not None:
|
||||
self._client = client
|
||||
return
|
||||
try:
|
||||
from binance.spot import Spot
|
||||
except ModuleNotFoundError as exc: # pragma: no cover
|
||||
raise RuntimeError("binance-connector is not installed") from exc
|
||||
self._client = Spot(api_key=api_key, api_secret=api_secret, base_url=base_url)
|
||||
|
||||
def _call(self, operation: str, func: Callable[..., Any], *args: Any, **kwargs: Any) -> Any:
|
||||
try:
|
||||
return func(*args, **kwargs)
|
||||
except SSLError as exc:
|
||||
raise RuntimeError(
|
||||
"Binance Spot request failed because TLS certificate verification failed. "
|
||||
"This usually means the local Python trust store is incomplete or a proxy is intercepting HTTPS. "
|
||||
"Update the local CA trust chain or configure the host environment with the correct corporate/root CA."
|
||||
) from exc
|
||||
except RequestException as exc:
|
||||
raise RuntimeError(f"Binance Spot request failed during {operation}: {exc}") from exc
|
||||
|
||||
def account_info(self) -> dict[str, Any]:
|
||||
return self._call("account info", self._client.account, recvWindow=self.recv_window) # type: ignore[no-any-return]
|
||||
|
||||
def exchange_info(self, symbol: str | None = None) -> dict[str, Any]:
|
||||
kwargs: dict[str, Any] = {"recvWindow": self.recv_window}
|
||||
if symbol:
|
||||
kwargs["symbol"] = symbol
|
||||
return self._call("exchange info", self._client.exchange_info, **kwargs) # type: ignore[no-any-return]
|
||||
|
||||
def ticker_24h(self, symbols: list[str] | None = None) -> list[dict[str, Any]]:
|
||||
if not symbols:
|
||||
response = self._call("24h ticker", self._client.ticker_24hr)
|
||||
elif len(symbols) == 1:
|
||||
response = self._call("24h ticker", self._client.ticker_24hr, symbol=symbols[0])
|
||||
else:
|
||||
response = self._call("24h ticker", self._client.ticker_24hr, symbols=symbols)
|
||||
return response if isinstance(response, list) else [response] # type: ignore[no-any-return]
|
||||
|
||||
def ticker_price(self, symbols: list[str] | None = None) -> list[dict[str, Any]]:
|
||||
if not symbols:
|
||||
response = self._call("ticker price", self._client.ticker_price)
|
||||
elif len(symbols) == 1:
|
||||
response = self._call("ticker price", self._client.ticker_price, symbol=symbols[0])
|
||||
else:
|
||||
response = self._call("ticker price", self._client.ticker_price, symbols=symbols)
|
||||
return response if isinstance(response, list) else [response] # type: ignore[no-any-return]
|
||||
|
||||
def klines(self, symbol: str, interval: str, limit: int) -> list[list[Any]]:
|
||||
return self._call("klines", self._client.klines, symbol=symbol, interval=interval, limit=limit) # type: ignore[no-any-return]
|
||||
|
||||
def new_order(self, **kwargs: Any) -> dict[str, Any]:
|
||||
kwargs.setdefault("recvWindow", self.recv_window)
|
||||
return self._call("new order", self._client.new_order, **kwargs) # type: ignore[no-any-return]
|
||||
73
src/coinhunter/binance/um_futures_client.py
Normal file
73
src/coinhunter/binance/um_futures_client.py
Normal file
@@ -0,0 +1,73 @@
|
||||
"""Thin wrapper around the official Binance USDT-M Futures connector."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
from collections.abc import Callable
|
||||
from typing import Any
|
||||
|
||||
from requests.exceptions import RequestException, SSLError
|
||||
|
||||
|
||||
class UMFuturesClient:
|
||||
def __init__(
|
||||
self,
|
||||
*,
|
||||
api_key: str,
|
||||
api_secret: str,
|
||||
base_url: str,
|
||||
recv_window: int,
|
||||
client: Any | None = None,
|
||||
) -> None:
|
||||
self.recv_window = recv_window
|
||||
if client is not None:
|
||||
self._client = client
|
||||
return
|
||||
try:
|
||||
from binance.um_futures import UMFutures
|
||||
except ModuleNotFoundError as exc: # pragma: no cover
|
||||
raise RuntimeError("binance-futures-connector is not installed") from exc
|
||||
self._client = UMFutures(key=api_key, secret=api_secret, base_url=base_url)
|
||||
|
||||
def _call(self, operation: str, func: Callable[..., Any], *args: Any, **kwargs: Any) -> Any:
|
||||
try:
|
||||
return func(*args, **kwargs)
|
||||
except SSLError as exc:
|
||||
raise RuntimeError(
|
||||
"Binance UM Futures request failed because TLS certificate verification failed. "
|
||||
"This usually means the local Python trust store is incomplete or a proxy is intercepting HTTPS. "
|
||||
"Update the local CA trust chain or configure the host environment with the correct corporate/root CA."
|
||||
) from exc
|
||||
except RequestException as exc:
|
||||
raise RuntimeError(f"Binance UM Futures request failed during {operation}: {exc}") from exc
|
||||
|
||||
def balance(self) -> list[dict[str, Any]]:
|
||||
return self._call("balance", self._client.balance, recvWindow=self.recv_window) # type: ignore[no-any-return]
|
||||
|
||||
def position_risk(self, symbol: str | None = None) -> list[dict[str, Any]]:
|
||||
kwargs: dict[str, Any] = {"recvWindow": self.recv_window}
|
||||
if symbol:
|
||||
kwargs["symbol"] = symbol
|
||||
response = self._call("position risk", self._client.position_risk, **kwargs)
|
||||
return response if isinstance(response, list) else [response] # type: ignore[no-any-return]
|
||||
|
||||
def ticker_24h(self, symbols: list[str] | None = None) -> list[dict[str, Any]]:
|
||||
if not symbols:
|
||||
response = self._call("24h ticker", self._client.ticker_24hr_price_change)
|
||||
elif len(symbols) == 1:
|
||||
response = self._call("24h ticker", self._client.ticker_24hr_price_change, symbol=symbols[0])
|
||||
else:
|
||||
response = [self._call("24h ticker", self._client.ticker_24hr_price_change, symbol=symbol) for symbol in symbols]
|
||||
return response if isinstance(response, list) else [response] # type: ignore[no-any-return]
|
||||
|
||||
def ticker_price(self, symbols: list[str] | None = None) -> list[dict[str, Any]]:
|
||||
if not symbols:
|
||||
response = self._call("ticker price", self._client.ticker_price)
|
||||
elif len(symbols) == 1:
|
||||
response = self._call("ticker price", self._client.ticker_price, symbol=symbols[0])
|
||||
else:
|
||||
response = [self._call("ticker price", self._client.ticker_price, symbol=symbol) for symbol in symbols]
|
||||
return response if isinstance(response, list) else [response] # type: ignore[no-any-return]
|
||||
|
||||
def new_order(self, **kwargs: Any) -> dict[str, Any]:
|
||||
kwargs.setdefault("recvWindow", self.recv_window)
|
||||
return self._call("new order", self._client.new_order, **kwargs) # type: ignore[no-any-return]
|
||||
@@ -1,8 +0,0 @@
|
||||
"""Backward-compatible facade for check_api."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
from .commands.check_api import main
|
||||
|
||||
if __name__ == "__main__":
|
||||
raise SystemExit(main())
|
||||
338
src/coinhunter/cli.py
Executable file → Normal file
338
src/coinhunter/cli.py
Executable file → Normal file
@@ -1,146 +1,238 @@
|
||||
"""CoinHunter unified CLI entrypoint."""
|
||||
"""CoinHunter V2 CLI."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import argparse
|
||||
import importlib
|
||||
import sys
|
||||
from typing import Any
|
||||
|
||||
from . import __version__
|
||||
|
||||
MODULE_MAP = {
|
||||
"check-api": "commands.check_api",
|
||||
"doctor": "commands.doctor",
|
||||
"external-gate": "commands.external_gate",
|
||||
"init": "commands.init_user_state",
|
||||
"market-probe": "commands.market_probe",
|
||||
"paths": "commands.paths",
|
||||
"precheck": "commands.precheck",
|
||||
"review-context": "commands.review_context",
|
||||
"review-engine": "commands.review_engine",
|
||||
"rotate-external-gate-log": "commands.rotate_external_gate_log",
|
||||
"smart-executor": "commands.smart_executor",
|
||||
}
|
||||
|
||||
ALIASES = {
|
||||
"api-check": "check-api",
|
||||
"diag": "doctor",
|
||||
"env": "paths",
|
||||
"gate": "external-gate",
|
||||
"pre": "precheck",
|
||||
"probe": "market-probe",
|
||||
"review": "review-context",
|
||||
"recap": "review-engine",
|
||||
"rotate-gate-log": "rotate-external-gate-log",
|
||||
"rotate-log": "rotate-external-gate-log",
|
||||
"scan": "precheck",
|
||||
"setup": "init",
|
||||
"exec": "smart-executor",
|
||||
}
|
||||
|
||||
COMMAND_HELP = [
|
||||
("api-check", "check-api", "Validate exchange/API connectivity"),
|
||||
("diag", "doctor", "Inspect runtime wiring and diagnostics"),
|
||||
("gate", "external-gate", "Run external gate orchestration"),
|
||||
("setup", "init", "Initialize user runtime state"),
|
||||
("env", "paths", "Print runtime path resolution"),
|
||||
("pre, scan", "precheck", "Run precheck workflow"),
|
||||
("probe", "market-probe", "Query external market data"),
|
||||
("review", "review-context", "Generate review context"),
|
||||
("recap", "review-engine", "Generate review recap/engine output"),
|
||||
("rotate-gate-log, rotate-log", "rotate-external-gate-log", "Rotate external gate logs"),
|
||||
("exec", "smart-executor", "Trading and execution actions"),
|
||||
]
|
||||
from .binance.spot_client import SpotBinanceClient
|
||||
from .binance.um_futures_client import UMFuturesClient
|
||||
from .config import ensure_init_files, get_binance_credentials, load_config
|
||||
from .runtime import get_runtime_paths, print_json
|
||||
from .services import account_service, market_service, opportunity_service, trade_service
|
||||
|
||||
|
||||
def _command_listing() -> str:
|
||||
lines = []
|
||||
for names, canonical, summary in COMMAND_HELP:
|
||||
label = names if canonical is None else f"{names} (alias for {canonical})"
|
||||
lines.append(f" {label:<45} {summary}")
|
||||
return "\n".join(lines)
|
||||
def _load_spot_client(config: dict[str, Any], *, client: Any | None = None) -> SpotBinanceClient:
|
||||
credentials = get_binance_credentials()
|
||||
binance_config = config["binance"]
|
||||
return SpotBinanceClient(
|
||||
api_key=credentials["api_key"],
|
||||
api_secret=credentials["api_secret"],
|
||||
base_url=binance_config["spot_base_url"],
|
||||
recv_window=int(binance_config["recv_window"]),
|
||||
client=client,
|
||||
)
|
||||
|
||||
|
||||
class VersionAction(argparse.Action):
|
||||
def __call__(self, parser, namespace, values, option_string=None):
|
||||
print(__version__)
|
||||
raise SystemExit(0)
|
||||
def _load_futures_client(config: dict[str, Any], *, client: Any | None = None) -> UMFuturesClient:
|
||||
credentials = get_binance_credentials()
|
||||
binance_config = config["binance"]
|
||||
return UMFuturesClient(
|
||||
api_key=credentials["api_key"],
|
||||
api_secret=credentials["api_secret"],
|
||||
base_url=binance_config["futures_base_url"],
|
||||
recv_window=int(binance_config["recv_window"]),
|
||||
client=client,
|
||||
)
|
||||
|
||||
|
||||
def _resolve_market_flags(args: argparse.Namespace) -> tuple[bool, bool]:
|
||||
if getattr(args, "spot", False) or getattr(args, "futures", False):
|
||||
return bool(getattr(args, "spot", False)), bool(getattr(args, "futures", False))
|
||||
return True, True
|
||||
|
||||
|
||||
def build_parser() -> argparse.ArgumentParser:
|
||||
parser = argparse.ArgumentParser(
|
||||
prog="coinhunter",
|
||||
description="CoinHunter trading operations CLI",
|
||||
formatter_class=argparse.RawTextHelpFormatter,
|
||||
epilog=(
|
||||
"Commands:\n"
|
||||
f"{_command_listing()}\n\n"
|
||||
"Examples:\n"
|
||||
" coinhunter diag\n"
|
||||
" coinhunter env\n"
|
||||
" coinhunter setup\n"
|
||||
" coinhunter api-check\n"
|
||||
" coinhunter exec bal\n"
|
||||
" coinhunter exec overview\n"
|
||||
" coinhunter exec hold\n"
|
||||
" coinhunter exec --analysis '...' --reasoning '...' buy ENJUSDT 50\n"
|
||||
" coinhunter exec orders\n"
|
||||
" coinhunter exec order-status ENJUSDT 123456\n"
|
||||
" coinhunter exec cancel ENJUSDT 123456\n"
|
||||
" coinhunter pre\n"
|
||||
" coinhunter pre --ack 'Analysis complete: HOLD'\n"
|
||||
" coinhunter gate\n"
|
||||
" coinhunter review 12\n"
|
||||
" coinhunter recap 12\n"
|
||||
" coinhunter probe bybit-ticker BTCUSDT\n"
|
||||
"\n"
|
||||
"Preferred exec verbs are bal, overview, hold, buy, flat, rotate, orders, order-status, and cancel.\n"
|
||||
"Legacy command names remain supported for backward compatibility.\n"
|
||||
),
|
||||
)
|
||||
parser.add_argument("--version", nargs=0, action=VersionAction, help="Print installed version and exit")
|
||||
parser.add_argument(
|
||||
"command",
|
||||
nargs="?",
|
||||
metavar="COMMAND",
|
||||
help="Command to run. Use --help to see canonical names and short aliases.",
|
||||
)
|
||||
parser.add_argument("args", nargs=argparse.REMAINDER)
|
||||
parser = argparse.ArgumentParser(prog="coinhunter", description="CoinHunter V2 Binance-first trading CLI")
|
||||
parser.add_argument("--version", action="version", version=__version__)
|
||||
subparsers = parser.add_subparsers(dest="command")
|
||||
|
||||
init_parser = subparsers.add_parser("init", help="Generate config.toml, .env, and log directory")
|
||||
init_parser.add_argument("--force", action="store_true")
|
||||
|
||||
account_parser = subparsers.add_parser("account", help="Account overview, balances, and positions")
|
||||
account_subparsers = account_parser.add_subparsers(dest="account_command")
|
||||
for name in ("overview", "balances", "positions"):
|
||||
sub = account_subparsers.add_parser(name)
|
||||
sub.add_argument("--spot", action="store_true")
|
||||
sub.add_argument("--futures", action="store_true")
|
||||
|
||||
market_parser = subparsers.add_parser("market", help="Batch market queries")
|
||||
market_subparsers = market_parser.add_subparsers(dest="market_command")
|
||||
tickers_parser = market_subparsers.add_parser("tickers")
|
||||
tickers_parser.add_argument("symbols", nargs="+")
|
||||
klines_parser = market_subparsers.add_parser("klines")
|
||||
klines_parser.add_argument("symbols", nargs="+")
|
||||
klines_parser.add_argument("--interval", default="1h")
|
||||
klines_parser.add_argument("--limit", type=int, default=100)
|
||||
|
||||
trade_parser = subparsers.add_parser("trade", help="Spot and futures trade execution")
|
||||
trade_subparsers = trade_parser.add_subparsers(dest="trade_market")
|
||||
|
||||
spot_parser = trade_subparsers.add_parser("spot")
|
||||
spot_subparsers = spot_parser.add_subparsers(dest="trade_action")
|
||||
for side in ("buy", "sell"):
|
||||
sub = spot_subparsers.add_parser(side)
|
||||
sub.add_argument("symbol")
|
||||
sub.add_argument("--qty", type=float)
|
||||
sub.add_argument("--quote", type=float)
|
||||
sub.add_argument("--type", choices=["market", "limit"], default="market")
|
||||
sub.add_argument("--price", type=float)
|
||||
sub.add_argument("--dry-run", action="store_true")
|
||||
|
||||
futures_parser = trade_subparsers.add_parser("futures")
|
||||
futures_subparsers = futures_parser.add_subparsers(dest="trade_action")
|
||||
for side in ("buy", "sell"):
|
||||
sub = futures_subparsers.add_parser(side)
|
||||
sub.add_argument("symbol")
|
||||
sub.add_argument("--qty", type=float, required=True)
|
||||
sub.add_argument("--type", choices=["market", "limit"], default="market")
|
||||
sub.add_argument("--price", type=float)
|
||||
sub.add_argument("--reduce-only", action="store_true")
|
||||
sub.add_argument("--dry-run", action="store_true")
|
||||
close_parser = futures_subparsers.add_parser("close")
|
||||
close_parser.add_argument("symbol")
|
||||
close_parser.add_argument("--dry-run", action="store_true")
|
||||
|
||||
opportunity_parser = subparsers.add_parser("opportunity", help="Portfolio analysis and market scanning")
|
||||
opportunity_subparsers = opportunity_parser.add_subparsers(dest="opportunity_command")
|
||||
opportunity_subparsers.add_parser("portfolio")
|
||||
scan_parser = opportunity_subparsers.add_parser("scan")
|
||||
scan_parser.add_argument("--symbols", nargs="*")
|
||||
|
||||
return parser
|
||||
|
||||
|
||||
def run_python_module(module_name: str, argv: list[str], display_name: str) -> int:
|
||||
module = importlib.import_module(f".{module_name}", package="coinhunter")
|
||||
if not hasattr(module, "main"):
|
||||
raise RuntimeError(f"Module {module_name} has no main()")
|
||||
old_argv = sys.argv[:]
|
||||
try:
|
||||
sys.argv = [display_name, *argv]
|
||||
result = module.main()
|
||||
return int(result) if isinstance(result, int) else 0
|
||||
except SystemExit as exc:
|
||||
return exc.code if isinstance(exc.code, int) else 0
|
||||
finally:
|
||||
sys.argv = old_argv
|
||||
|
||||
|
||||
def main() -> int:
|
||||
def main(argv: list[str] | None = None) -> int:
|
||||
parser = build_parser()
|
||||
parsed = parser.parse_args()
|
||||
if not parsed.command:
|
||||
args = parser.parse_args(argv)
|
||||
try:
|
||||
if not args.command:
|
||||
parser.print_help()
|
||||
return 0
|
||||
command = ALIASES.get(parsed.command, parsed.command)
|
||||
if command not in MODULE_MAP:
|
||||
parser.error(
|
||||
f"invalid command: {parsed.command!r}. Use `coinhunter --help` to see supported commands and aliases."
|
||||
|
||||
if args.command == "init":
|
||||
print_json(ensure_init_files(get_runtime_paths(), force=args.force))
|
||||
return 0
|
||||
|
||||
config = load_config()
|
||||
|
||||
if args.command == "account":
|
||||
include_spot, include_futures = _resolve_market_flags(args)
|
||||
spot_client = _load_spot_client(config) if include_spot else None
|
||||
futures_client = _load_futures_client(config) if include_futures else None
|
||||
if args.account_command == "overview":
|
||||
print_json(
|
||||
account_service.get_overview(
|
||||
config,
|
||||
include_spot=include_spot,
|
||||
include_futures=include_futures,
|
||||
spot_client=spot_client,
|
||||
futures_client=futures_client,
|
||||
)
|
||||
module_name = MODULE_MAP[command]
|
||||
argv = list(parsed.args)
|
||||
if argv and argv[0] == "--":
|
||||
argv = argv[1:]
|
||||
return run_python_module(module_name, argv, f"coinhunter {parsed.command}")
|
||||
)
|
||||
return 0
|
||||
if args.account_command == "balances":
|
||||
print_json(
|
||||
account_service.get_balances(
|
||||
config,
|
||||
include_spot=include_spot,
|
||||
include_futures=include_futures,
|
||||
spot_client=spot_client,
|
||||
futures_client=futures_client,
|
||||
)
|
||||
)
|
||||
return 0
|
||||
if args.account_command == "positions":
|
||||
print_json(
|
||||
account_service.get_positions(
|
||||
config,
|
||||
include_spot=include_spot,
|
||||
include_futures=include_futures,
|
||||
spot_client=spot_client,
|
||||
futures_client=futures_client,
|
||||
)
|
||||
)
|
||||
return 0
|
||||
parser.error("account requires one of: overview, balances, positions")
|
||||
|
||||
if args.command == "market":
|
||||
spot_client = _load_spot_client(config)
|
||||
if args.market_command == "tickers":
|
||||
print_json(market_service.get_tickers(config, args.symbols, spot_client=spot_client))
|
||||
return 0
|
||||
if args.market_command == "klines":
|
||||
print_json(
|
||||
market_service.get_klines(
|
||||
config,
|
||||
args.symbols,
|
||||
interval=args.interval,
|
||||
limit=args.limit,
|
||||
spot_client=spot_client,
|
||||
)
|
||||
)
|
||||
return 0
|
||||
parser.error("market requires one of: tickers, klines")
|
||||
|
||||
if __name__ == "__main__":
|
||||
raise SystemExit(main())
|
||||
if args.command == "trade":
|
||||
if args.trade_market == "spot":
|
||||
spot_client = _load_spot_client(config)
|
||||
print_json(
|
||||
trade_service.execute_spot_trade(
|
||||
config,
|
||||
side=args.trade_action,
|
||||
symbol=args.symbol,
|
||||
qty=args.qty,
|
||||
quote=args.quote,
|
||||
order_type=args.type,
|
||||
price=args.price,
|
||||
dry_run=True if args.dry_run else None,
|
||||
spot_client=spot_client,
|
||||
)
|
||||
)
|
||||
return 0
|
||||
if args.trade_market == "futures":
|
||||
futures_client = _load_futures_client(config)
|
||||
if args.trade_action == "close":
|
||||
print_json(
|
||||
trade_service.close_futures_position(
|
||||
config,
|
||||
symbol=args.symbol,
|
||||
dry_run=True if args.dry_run else None,
|
||||
futures_client=futures_client,
|
||||
)
|
||||
)
|
||||
return 0
|
||||
print_json(
|
||||
trade_service.execute_futures_trade(
|
||||
config,
|
||||
side=args.trade_action,
|
||||
symbol=args.symbol,
|
||||
qty=args.qty,
|
||||
order_type=args.type,
|
||||
price=args.price,
|
||||
reduce_only=args.reduce_only,
|
||||
dry_run=True if args.dry_run else None,
|
||||
futures_client=futures_client,
|
||||
)
|
||||
)
|
||||
return 0
|
||||
parser.error("trade requires `spot` or `futures`")
|
||||
|
||||
if args.command == "opportunity":
|
||||
spot_client = _load_spot_client(config)
|
||||
if args.opportunity_command == "portfolio":
|
||||
print_json(opportunity_service.analyze_portfolio(config, spot_client=spot_client))
|
||||
return 0
|
||||
if args.opportunity_command == "scan":
|
||||
print_json(opportunity_service.scan_opportunities(config, spot_client=spot_client, symbols=args.symbols))
|
||||
return 0
|
||||
parser.error("opportunity requires `portfolio` or `scan`")
|
||||
|
||||
parser.error(f"Unsupported command {args.command}")
|
||||
return 2
|
||||
except Exception as exc:
|
||||
print(f"error: {exc}", file=sys.stderr)
|
||||
return 1
|
||||
|
||||
@@ -1 +0,0 @@
|
||||
"""CLI command adapters for CoinHunter."""
|
||||
@@ -1,56 +0,0 @@
|
||||
#!/usr/bin/env python3
|
||||
"""Check whether the trading environment is ready and API permissions are sufficient."""
|
||||
import json
|
||||
import os
|
||||
|
||||
import ccxt
|
||||
|
||||
from ..runtime import load_env_file
|
||||
|
||||
|
||||
def main():
|
||||
load_env_file()
|
||||
|
||||
api_key = os.getenv("BINANCE_API_KEY", "")
|
||||
secret = os.getenv("BINANCE_API_SECRET", "")
|
||||
|
||||
if not api_key or api_key.startswith("***") or api_key.startswith("your_"):
|
||||
print(json.dumps({"ok": False, "error": "BINANCE_API_KEY not configured"}, ensure_ascii=False))
|
||||
return 1
|
||||
if not secret or secret.startswith("***") or secret.startswith("your_"):
|
||||
print(json.dumps({"ok": False, "error": "BINANCE_API_SECRET not configured"}, ensure_ascii=False))
|
||||
return 1
|
||||
|
||||
try:
|
||||
ex = ccxt.binance({
|
||||
"apiKey": api_key,
|
||||
"secret": secret,
|
||||
"options": {"defaultType": "spot"},
|
||||
"enableRateLimit": True,
|
||||
})
|
||||
balance = ex.fetch_balance()
|
||||
except Exception as e:
|
||||
print(json.dumps({"ok": False, "error": f"Failed to connect or fetch balance: {e}"}, ensure_ascii=False))
|
||||
return 1
|
||||
|
||||
read_permission = bool(balance and isinstance(balance, dict))
|
||||
|
||||
spot_trading_enabled = None
|
||||
try:
|
||||
restrictions = ex.sapi_get_account_api_restrictions()
|
||||
spot_trading_enabled = restrictions.get("enableSpotAndMarginTrading") or restrictions.get("enableSpotTrading")
|
||||
except Exception:
|
||||
pass
|
||||
|
||||
report = {
|
||||
"ok": read_permission,
|
||||
"read_permission": read_permission,
|
||||
"spot_trading_enabled": spot_trading_enabled,
|
||||
"note": "spot_trading_enabled may be null if the key lacks permission to query restrictions; it does not necessarily mean trading is disabled.",
|
||||
}
|
||||
print(json.dumps(report, ensure_ascii=False, indent=2))
|
||||
return 0 if read_permission else 1
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
raise SystemExit(main())
|
||||
@@ -1,65 +0,0 @@
|
||||
"""Runtime diagnostics for CoinHunter CLI."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import json
|
||||
import os
|
||||
import platform
|
||||
import shutil
|
||||
import sys
|
||||
|
||||
from ..runtime import ensure_runtime_dirs, get_runtime_paths, load_env_file, resolve_hermes_executable
|
||||
|
||||
REQUIRED_ENV_VARS = ["BINANCE_API_KEY", "BINANCE_API_SECRET"]
|
||||
|
||||
|
||||
def main() -> int:
|
||||
paths = ensure_runtime_dirs(get_runtime_paths())
|
||||
env_file = load_env_file(paths)
|
||||
hermes_executable = resolve_hermes_executable(paths)
|
||||
|
||||
env_checks = {}
|
||||
missing_env = []
|
||||
for name in REQUIRED_ENV_VARS:
|
||||
present = bool(os.getenv(name))
|
||||
env_checks[name] = present
|
||||
if not present:
|
||||
missing_env.append(name)
|
||||
|
||||
file_checks = {
|
||||
"env_file_exists": env_file.exists(),
|
||||
"config_exists": paths.config_file.exists(),
|
||||
"positions_exists": paths.positions_file.exists(),
|
||||
"logrotate_config_exists": paths.logrotate_config.exists(),
|
||||
}
|
||||
dir_checks = {
|
||||
"root_exists": paths.root.exists(),
|
||||
"state_dir_exists": paths.state_dir.exists(),
|
||||
"logs_dir_exists": paths.logs_dir.exists(),
|
||||
"reviews_dir_exists": paths.reviews_dir.exists(),
|
||||
"cache_dir_exists": paths.cache_dir.exists(),
|
||||
}
|
||||
command_checks = {
|
||||
"hermes": bool(shutil.which("hermes") or paths.hermes_bin.exists()),
|
||||
"logrotate": bool(shutil.which("logrotate") or shutil.which("/usr/sbin/logrotate")),
|
||||
}
|
||||
|
||||
report = {
|
||||
"ok": not missing_env,
|
||||
"python": sys.version.split()[0],
|
||||
"platform": platform.platform(),
|
||||
"env_file": str(env_file),
|
||||
"hermes_executable": hermes_executable,
|
||||
"paths": paths.as_dict(),
|
||||
"env_checks": env_checks,
|
||||
"missing_env": missing_env,
|
||||
"file_checks": file_checks,
|
||||
"dir_checks": dir_checks,
|
||||
"command_checks": command_checks,
|
||||
}
|
||||
print(json.dumps(report, ensure_ascii=False, indent=2))
|
||||
return 0 if report["ok"] else 1
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
raise SystemExit(main())
|
||||
@@ -1,161 +0,0 @@
|
||||
#!/usr/bin/env python3
|
||||
import fcntl
|
||||
import json
|
||||
import subprocess
|
||||
import sys
|
||||
from datetime import datetime, timezone
|
||||
|
||||
from ..runtime import ensure_runtime_dirs, get_runtime_paths
|
||||
|
||||
|
||||
def _paths():
|
||||
return get_runtime_paths()
|
||||
|
||||
|
||||
COINHUNTER_MODULE = [sys.executable, "-m", "coinhunter"]
|
||||
|
||||
|
||||
def utc_now():
|
||||
return datetime.now(timezone.utc).isoformat()
|
||||
|
||||
|
||||
def log(message: str):
|
||||
print(f"[{utc_now()}] {message}", file=sys.stderr)
|
||||
|
||||
|
||||
def run_cmd(args: list[str]) -> subprocess.CompletedProcess:
|
||||
return subprocess.run(args, capture_output=True, text=True)
|
||||
|
||||
|
||||
def parse_json_output(text: str) -> dict:
|
||||
text = (text or "").strip()
|
||||
if not text:
|
||||
return {}
|
||||
return json.loads(text) # type: ignore[no-any-return]
|
||||
|
||||
|
||||
def _load_config() -> dict:
|
||||
config_path = _paths().config_file
|
||||
if not config_path.exists():
|
||||
return {}
|
||||
try:
|
||||
return json.loads(config_path.read_text(encoding="utf-8")) # type: ignore[no-any-return]
|
||||
except Exception:
|
||||
return {}
|
||||
|
||||
|
||||
def _resolve_trigger_command(paths) -> list[str] | None:
|
||||
config = _load_config()
|
||||
gate_config = config.get("external_gate", {})
|
||||
|
||||
if "trigger_command" not in gate_config:
|
||||
return None
|
||||
|
||||
trigger = gate_config["trigger_command"]
|
||||
|
||||
if trigger is None:
|
||||
return None
|
||||
|
||||
if isinstance(trigger, str):
|
||||
return [trigger]
|
||||
|
||||
if isinstance(trigger, list):
|
||||
if not trigger:
|
||||
return None
|
||||
return [str(item) for item in trigger]
|
||||
|
||||
log(f"warn: unexpected trigger_command type {type(trigger).__name__}; skipping trigger")
|
||||
return None
|
||||
|
||||
|
||||
def main():
|
||||
paths = _paths()
|
||||
ensure_runtime_dirs(paths)
|
||||
result = {"ok": False, "triggered": False, "reason": "", "logs": []}
|
||||
lock_file = paths.external_gate_lock
|
||||
|
||||
def append_log(msg: str):
|
||||
log(msg)
|
||||
result["logs"].append(msg)
|
||||
|
||||
with open(lock_file, "w", encoding="utf-8") as lockf:
|
||||
try:
|
||||
fcntl.flock(lockf.fileno(), fcntl.LOCK_EX | fcntl.LOCK_NB)
|
||||
except BlockingIOError:
|
||||
append_log("gate already running; skip")
|
||||
result["reason"] = "already_running"
|
||||
print(json.dumps(result, ensure_ascii=False))
|
||||
return 0
|
||||
|
||||
precheck = run_cmd(COINHUNTER_MODULE + ["precheck"])
|
||||
if precheck.returncode != 0:
|
||||
append_log(f"precheck returned non-zero ({precheck.returncode}); stdout={precheck.stdout.strip()} stderr={precheck.stderr.strip()}")
|
||||
result["reason"] = "precheck_failed"
|
||||
print(json.dumps(result, ensure_ascii=False))
|
||||
return 1
|
||||
|
||||
try:
|
||||
data = parse_json_output(precheck.stdout)
|
||||
except Exception as e:
|
||||
append_log(f"failed to parse precheck JSON: {e}; raw={precheck.stdout.strip()[:1000]}")
|
||||
result["reason"] = "precheck_parse_error"
|
||||
print(json.dumps(result, ensure_ascii=False))
|
||||
return 1
|
||||
|
||||
if not data.get("ok"):
|
||||
append_log("precheck reported failure; skip model run")
|
||||
result["reason"] = "precheck_not_ok"
|
||||
print(json.dumps(result, ensure_ascii=False))
|
||||
return 1
|
||||
|
||||
if not data.get("should_analyze"):
|
||||
append_log("no trigger; skip model run")
|
||||
result["ok"] = True
|
||||
result["reason"] = "no_trigger"
|
||||
print(json.dumps(result, ensure_ascii=False))
|
||||
return 0
|
||||
|
||||
if data.get("run_requested"):
|
||||
append_log(f"trigger already queued at {data.get('run_requested_at')}; skip duplicate")
|
||||
result["ok"] = True
|
||||
result["reason"] = "already_queued"
|
||||
print(json.dumps(result, ensure_ascii=False))
|
||||
return 0
|
||||
|
||||
mark = run_cmd(COINHUNTER_MODULE + ["precheck", "--mark-run-requested", "external-gate queued cron run"])
|
||||
if mark.returncode != 0:
|
||||
append_log(f"failed to mark run requested; stdout={mark.stdout.strip()} stderr={mark.stderr.strip()}")
|
||||
result["reason"] = "mark_failed"
|
||||
print(json.dumps(result, ensure_ascii=False))
|
||||
return 1
|
||||
|
||||
trigger_cmd = _resolve_trigger_command(paths)
|
||||
if trigger_cmd is None:
|
||||
append_log("trigger_command is disabled; skipping external trigger")
|
||||
result["ok"] = True
|
||||
result["reason"] = "trigger_disabled"
|
||||
print(json.dumps(result, ensure_ascii=False))
|
||||
return 0
|
||||
|
||||
trigger = run_cmd(trigger_cmd)
|
||||
if trigger.returncode != 0:
|
||||
append_log(f"failed to trigger trade job; cmd={' '.join(trigger_cmd)}; stdout={trigger.stdout.strip()} stderr={trigger.stderr.strip()}")
|
||||
result["reason"] = "trigger_failed"
|
||||
print(json.dumps(result, ensure_ascii=False))
|
||||
return 1
|
||||
|
||||
reasons = ", ".join(data.get("reasons", [])) or "unknown"
|
||||
append_log(f"queued trade job via {' '.join(trigger_cmd)}; reasons={reasons}")
|
||||
if trigger.stdout.strip():
|
||||
append_log(trigger.stdout.strip())
|
||||
|
||||
result["ok"] = True
|
||||
result["triggered"] = True
|
||||
result["reason"] = reasons
|
||||
result["command"] = trigger_cmd
|
||||
print(json.dumps(result, ensure_ascii=False))
|
||||
return 0
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
raise SystemExit(main())
|
||||
@@ -1,95 +0,0 @@
|
||||
#!/usr/bin/env python3
|
||||
import json
|
||||
from datetime import datetime, timezone
|
||||
from pathlib import Path
|
||||
|
||||
from ..runtime import ensure_runtime_dirs, get_runtime_paths
|
||||
|
||||
|
||||
def _paths():
|
||||
return get_runtime_paths()
|
||||
|
||||
|
||||
def now_iso():
|
||||
return datetime.now(timezone.utc).replace(microsecond=0).isoformat()
|
||||
|
||||
|
||||
def ensure_file(path: Path, payload: dict):
|
||||
if path.exists():
|
||||
return False
|
||||
path.write_text(json.dumps(payload, ensure_ascii=False, indent=2) + "\n", encoding="utf-8")
|
||||
return True
|
||||
|
||||
|
||||
def main():
|
||||
paths = _paths()
|
||||
ensure_runtime_dirs(paths)
|
||||
|
||||
created = []
|
||||
ts = now_iso()
|
||||
|
||||
templates = {
|
||||
paths.root / "config.json": {
|
||||
"default_exchange": "bybit",
|
||||
"default_quote_currency": "USDT",
|
||||
"timezone": "Asia/Shanghai",
|
||||
"preferred_chains": ["solana", "base"],
|
||||
"external_gate": {
|
||||
"trigger_command": None,
|
||||
"_comment": "Set to a command list like ['hermes', 'cron', 'run', 'JOB_ID'] or null to disable"
|
||||
},
|
||||
"trading": {
|
||||
"usdt_buffer_pct": 0.03,
|
||||
"min_remaining_dust_usdt": 1.0,
|
||||
"_comment": "Adjust buffer and dust thresholds for your account size"
|
||||
},
|
||||
"precheck": {
|
||||
"base_price_move_trigger_pct": 0.025,
|
||||
"base_pnl_trigger_pct": 0.03,
|
||||
"base_portfolio_move_trigger_pct": 0.03,
|
||||
"base_candidate_score_trigger_ratio": 1.15,
|
||||
"base_force_analysis_after_minutes": 180,
|
||||
"base_cooldown_minutes": 45,
|
||||
"top_candidates": 10,
|
||||
"min_actionable_usdt": 12.0,
|
||||
"min_real_position_value_usdt": 8.0,
|
||||
"blacklist": ["USDC", "BUSD", "TUSD", "FDUSD", "USTC", "PAXG"],
|
||||
"hard_stop_pct": -0.08,
|
||||
"hard_moon_pct": 0.25,
|
||||
"min_change_pct": 1.0,
|
||||
"max_price_cap": None,
|
||||
"hard_reason_dedup_minutes": 15,
|
||||
"max_pending_trigger_minutes": 30,
|
||||
"max_run_request_minutes": 20,
|
||||
"_comment": "Tune trigger sensitivity without redeploying code"
|
||||
},
|
||||
"created_at": ts,
|
||||
"updated_at": ts,
|
||||
},
|
||||
paths.root / "accounts.json": {
|
||||
"accounts": []
|
||||
},
|
||||
paths.root / "positions.json": {
|
||||
"positions": []
|
||||
},
|
||||
paths.root / "watchlist.json": {
|
||||
"watchlist": []
|
||||
},
|
||||
paths.root / "notes.json": {
|
||||
"notes": []
|
||||
},
|
||||
}
|
||||
|
||||
for path, payload in templates.items():
|
||||
if ensure_file(path, payload):
|
||||
created.append(str(path))
|
||||
|
||||
print(json.dumps({
|
||||
"root": str(paths.root),
|
||||
"created": created,
|
||||
"cache_dir": str(paths.cache_dir),
|
||||
}, ensure_ascii=False, indent=2))
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
@@ -1,242 +0,0 @@
|
||||
#!/usr/bin/env python3
|
||||
import argparse
|
||||
import json
|
||||
import os
|
||||
import urllib.parse
|
||||
import urllib.request
|
||||
|
||||
DEFAULT_TIMEOUT = 20
|
||||
|
||||
|
||||
def fetch_json(url, headers=None, timeout=DEFAULT_TIMEOUT):
|
||||
merged_headers = {
|
||||
"Accept": "application/json",
|
||||
"User-Agent": "Mozilla/5.0 (compatible; OpenClaw Coin Hunter/1.0)",
|
||||
}
|
||||
if headers:
|
||||
merged_headers.update(headers)
|
||||
req = urllib.request.Request(url, headers=merged_headers)
|
||||
with urllib.request.urlopen(req, timeout=timeout) as resp:
|
||||
data = resp.read()
|
||||
return json.loads(data.decode("utf-8"))
|
||||
|
||||
|
||||
def print_json(data):
|
||||
print(json.dumps(data, ensure_ascii=False, indent=2))
|
||||
|
||||
|
||||
def bybit_ticker(symbol: str):
|
||||
url = (
|
||||
"https://api.bybit.com/v5/market/tickers?category=spot&symbol="
|
||||
+ urllib.parse.quote(symbol.upper())
|
||||
)
|
||||
payload = fetch_json(url)
|
||||
items = payload.get("result", {}).get("list", [])
|
||||
if not items:
|
||||
raise SystemExit(f"No Bybit spot ticker found for {symbol}")
|
||||
item = items[0]
|
||||
out = {
|
||||
"provider": "bybit",
|
||||
"symbol": symbol.upper(),
|
||||
"lastPrice": item.get("lastPrice"),
|
||||
"price24hPcnt": item.get("price24hPcnt"),
|
||||
"highPrice24h": item.get("highPrice24h"),
|
||||
"lowPrice24h": item.get("lowPrice24h"),
|
||||
"turnover24h": item.get("turnover24h"),
|
||||
"volume24h": item.get("volume24h"),
|
||||
"bid1Price": item.get("bid1Price"),
|
||||
"ask1Price": item.get("ask1Price"),
|
||||
}
|
||||
print_json(out)
|
||||
|
||||
|
||||
def bybit_klines(symbol: str, interval: str, limit: int):
|
||||
params = urllib.parse.urlencode({
|
||||
"category": "spot",
|
||||
"symbol": symbol.upper(),
|
||||
"interval": interval,
|
||||
"limit": str(limit),
|
||||
})
|
||||
url = f"https://api.bybit.com/v5/market/kline?{params}"
|
||||
payload = fetch_json(url)
|
||||
rows = payload.get("result", {}).get("list", [])
|
||||
out = {
|
||||
"provider": "bybit",
|
||||
"symbol": symbol.upper(),
|
||||
"interval": interval,
|
||||
"candles": [
|
||||
{
|
||||
"startTime": r[0],
|
||||
"open": r[1],
|
||||
"high": r[2],
|
||||
"low": r[3],
|
||||
"close": r[4],
|
||||
"volume": r[5],
|
||||
"turnover": r[6],
|
||||
}
|
||||
for r in rows
|
||||
],
|
||||
}
|
||||
print_json(out)
|
||||
|
||||
|
||||
def dexscreener_search(query: str):
|
||||
url = "https://api.dexscreener.com/latest/dex/search/?q=" + urllib.parse.quote(query)
|
||||
payload = fetch_json(url)
|
||||
pairs = payload.get("pairs") or []
|
||||
out = []
|
||||
for p in pairs[:10]:
|
||||
out.append({
|
||||
"chainId": p.get("chainId"),
|
||||
"dexId": p.get("dexId"),
|
||||
"pairAddress": p.get("pairAddress"),
|
||||
"url": p.get("url"),
|
||||
"baseToken": p.get("baseToken"),
|
||||
"quoteToken": p.get("quoteToken"),
|
||||
"priceUsd": p.get("priceUsd"),
|
||||
"liquidityUsd": (p.get("liquidity") or {}).get("usd"),
|
||||
"fdv": p.get("fdv"),
|
||||
"marketCap": p.get("marketCap"),
|
||||
"volume24h": (p.get("volume") or {}).get("h24"),
|
||||
"buys24h": ((p.get("txns") or {}).get("h24") or {}).get("buys"),
|
||||
"sells24h": ((p.get("txns") or {}).get("h24") or {}).get("sells"),
|
||||
})
|
||||
print_json({"provider": "dexscreener", "query": query, "pairs": out})
|
||||
|
||||
|
||||
def dexscreener_token(chain: str, address: str):
|
||||
url = f"https://api.dexscreener.com/tokens/v1/{urllib.parse.quote(chain)}/{urllib.parse.quote(address)}"
|
||||
payload = fetch_json(url)
|
||||
pairs = payload if isinstance(payload, list) else payload.get("pairs") or []
|
||||
out = []
|
||||
for p in pairs[:10]:
|
||||
out.append({
|
||||
"chainId": p.get("chainId"),
|
||||
"dexId": p.get("dexId"),
|
||||
"pairAddress": p.get("pairAddress"),
|
||||
"baseToken": p.get("baseToken"),
|
||||
"quoteToken": p.get("quoteToken"),
|
||||
"priceUsd": p.get("priceUsd"),
|
||||
"liquidityUsd": (p.get("liquidity") or {}).get("usd"),
|
||||
"fdv": p.get("fdv"),
|
||||
"marketCap": p.get("marketCap"),
|
||||
"volume24h": (p.get("volume") or {}).get("h24"),
|
||||
})
|
||||
print_json({"provider": "dexscreener", "chain": chain, "address": address, "pairs": out})
|
||||
|
||||
|
||||
def coingecko_search(query: str):
|
||||
url = "https://api.coingecko.com/api/v3/search?query=" + urllib.parse.quote(query)
|
||||
payload = fetch_json(url)
|
||||
coins = payload.get("coins") or []
|
||||
out = []
|
||||
for c in coins[:10]:
|
||||
out.append({
|
||||
"id": c.get("id"),
|
||||
"name": c.get("name"),
|
||||
"symbol": c.get("symbol"),
|
||||
"marketCapRank": c.get("market_cap_rank"),
|
||||
"thumb": c.get("thumb"),
|
||||
})
|
||||
print_json({"provider": "coingecko", "query": query, "coins": out})
|
||||
|
||||
|
||||
def coingecko_coin(coin_id: str):
|
||||
params = urllib.parse.urlencode({
|
||||
"localization": "false",
|
||||
"tickers": "false",
|
||||
"market_data": "true",
|
||||
"community_data": "false",
|
||||
"developer_data": "false",
|
||||
"sparkline": "false",
|
||||
})
|
||||
url = f"https://api.coingecko.com/api/v3/coins/{urllib.parse.quote(coin_id)}?{params}"
|
||||
payload = fetch_json(url)
|
||||
md = payload.get("market_data") or {}
|
||||
out = {
|
||||
"provider": "coingecko",
|
||||
"id": payload.get("id"),
|
||||
"symbol": payload.get("symbol"),
|
||||
"name": payload.get("name"),
|
||||
"marketCapRank": payload.get("market_cap_rank"),
|
||||
"currentPriceUsd": (md.get("current_price") or {}).get("usd"),
|
||||
"marketCapUsd": (md.get("market_cap") or {}).get("usd"),
|
||||
"fullyDilutedValuationUsd": (md.get("fully_diluted_valuation") or {}).get("usd"),
|
||||
"totalVolumeUsd": (md.get("total_volume") or {}).get("usd"),
|
||||
"priceChangePercentage24h": md.get("price_change_percentage_24h"),
|
||||
"priceChangePercentage7d": md.get("price_change_percentage_7d"),
|
||||
"priceChangePercentage30d": md.get("price_change_percentage_30d"),
|
||||
"circulatingSupply": md.get("circulating_supply"),
|
||||
"totalSupply": md.get("total_supply"),
|
||||
"maxSupply": md.get("max_supply"),
|
||||
"homepage": (payload.get("links") or {}).get("homepage", [None])[0],
|
||||
}
|
||||
print_json(out)
|
||||
|
||||
|
||||
def birdeye_token(address: str):
|
||||
api_key = os.getenv("BIRDEYE_API_KEY") or os.getenv("BIRDEYE_APIKEY")
|
||||
if not api_key:
|
||||
raise SystemExit("Birdeye requires BIRDEYE_API_KEY in the environment")
|
||||
url = "https://public-api.birdeye.so/defi/token_overview?address=" + urllib.parse.quote(address)
|
||||
payload = fetch_json(url, headers={
|
||||
"x-api-key": api_key,
|
||||
"x-chain": "solana",
|
||||
})
|
||||
print_json({"provider": "birdeye", "address": address, "data": payload.get("data")})
|
||||
|
||||
|
||||
def build_parser():
|
||||
parser = argparse.ArgumentParser(description="Coin Hunter market data probe")
|
||||
sub = parser.add_subparsers(dest="command", required=True)
|
||||
|
||||
p = sub.add_parser("bybit-ticker", help="Fetch Bybit spot ticker")
|
||||
p.add_argument("symbol")
|
||||
|
||||
p = sub.add_parser("bybit-klines", help="Fetch Bybit spot klines")
|
||||
p.add_argument("symbol")
|
||||
p.add_argument("--interval", default="60", help="Bybit interval, e.g. 1, 5, 15, 60, 240, D")
|
||||
p.add_argument("--limit", type=int, default=10)
|
||||
|
||||
p = sub.add_parser("dex-search", help="Search DexScreener by query")
|
||||
p.add_argument("query")
|
||||
|
||||
p = sub.add_parser("dex-token", help="Fetch DexScreener token pairs by chain/address")
|
||||
p.add_argument("chain")
|
||||
p.add_argument("address")
|
||||
|
||||
p = sub.add_parser("gecko-search", help="Search CoinGecko")
|
||||
p.add_argument("query")
|
||||
|
||||
p = sub.add_parser("gecko-coin", help="Fetch CoinGecko coin by id")
|
||||
p.add_argument("coin_id")
|
||||
|
||||
p = sub.add_parser("birdeye-token", help="Fetch Birdeye token overview (Solana)")
|
||||
p.add_argument("address")
|
||||
|
||||
return parser
|
||||
|
||||
|
||||
def main():
|
||||
parser = build_parser()
|
||||
args = parser.parse_args()
|
||||
if args.command == "bybit-ticker":
|
||||
bybit_ticker(args.symbol)
|
||||
elif args.command == "bybit-klines":
|
||||
bybit_klines(args.symbol, args.interval, args.limit)
|
||||
elif args.command == "dex-search":
|
||||
dexscreener_search(args.query)
|
||||
elif args.command == "dex-token":
|
||||
dexscreener_token(args.chain, args.address)
|
||||
elif args.command == "gecko-search":
|
||||
coingecko_search(args.query)
|
||||
elif args.command == "gecko-coin":
|
||||
coingecko_coin(args.coin_id)
|
||||
elif args.command == "birdeye-token":
|
||||
birdeye_token(args.address)
|
||||
else:
|
||||
parser.error("Unknown command")
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
@@ -1,16 +0,0 @@
|
||||
"""Print CoinHunter runtime paths."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import json
|
||||
|
||||
from ..runtime import get_runtime_paths
|
||||
|
||||
|
||||
def main() -> int:
|
||||
print(json.dumps(get_runtime_paths().as_dict(), ensure_ascii=False, indent=2))
|
||||
return 0
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
raise SystemExit(main())
|
||||
@@ -1,15 +0,0 @@
|
||||
"""CLI adapter for precheck."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import sys
|
||||
|
||||
from ..services.precheck_service import run
|
||||
|
||||
|
||||
def main() -> int:
|
||||
return run(sys.argv[1:])
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
raise SystemExit(main())
|
||||
@@ -1,34 +0,0 @@
|
||||
#!/usr/bin/env python3
|
||||
"""CLI adapter for review context."""
|
||||
|
||||
import json
|
||||
import sys
|
||||
|
||||
from ..services.review_service import generate_review
|
||||
|
||||
|
||||
def main():
|
||||
hours = int(sys.argv[1]) if len(sys.argv) > 1 else 12
|
||||
review = generate_review(hours)
|
||||
compact = {
|
||||
"review_period_hours": review.get("review_period_hours", hours),
|
||||
"review_timestamp": review.get("review_timestamp"),
|
||||
"total_decisions": review.get("total_decisions", 0),
|
||||
"total_trades": review.get("total_trades", 0),
|
||||
"total_errors": review.get("total_errors", 0),
|
||||
"stats": review.get("stats", {}),
|
||||
"insights": review.get("insights", []),
|
||||
"recommendations": review.get("recommendations", []),
|
||||
"decision_quality_top": review.get("decision_quality", [])[:5],
|
||||
"should_report": bool(
|
||||
review.get("total_decisions", 0)
|
||||
or review.get("total_trades", 0)
|
||||
or review.get("total_errors", 0)
|
||||
or review.get("insights")
|
||||
),
|
||||
}
|
||||
print(json.dumps(compact, ensure_ascii=False, indent=2))
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
@@ -1,24 +0,0 @@
|
||||
#!/usr/bin/env python3
|
||||
"""CLI adapter for review engine."""
|
||||
|
||||
import json
|
||||
import sys
|
||||
|
||||
from ..services.review_service import generate_review, save_review
|
||||
|
||||
|
||||
def main():
|
||||
try:
|
||||
hours = int(sys.argv[1]) if len(sys.argv) > 1 else 1
|
||||
review = generate_review(hours)
|
||||
path = save_review(review)
|
||||
print(json.dumps({"ok": True, "saved_path": path, "review": review}, ensure_ascii=False, indent=2))
|
||||
except Exception as e:
|
||||
from ..logger import log_error
|
||||
log_error("review_engine", e)
|
||||
print(json.dumps({"ok": False, "error": str(e)}, ensure_ascii=False), file=sys.stderr)
|
||||
raise SystemExit(1)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
raise SystemExit(main())
|
||||
@@ -1,31 +0,0 @@
|
||||
#!/usr/bin/env python3
|
||||
"""Rotate external gate log using the user's logrotate config/state."""
|
||||
import json
|
||||
import shutil
|
||||
import subprocess
|
||||
|
||||
from ..runtime import ensure_runtime_dirs, get_runtime_paths
|
||||
|
||||
|
||||
def _paths():
|
||||
return get_runtime_paths()
|
||||
|
||||
|
||||
def main():
|
||||
paths = _paths()
|
||||
ensure_runtime_dirs(paths)
|
||||
logrotate_bin = shutil.which("logrotate") or "/usr/sbin/logrotate"
|
||||
cmd = [logrotate_bin, "-s", str(paths.logrotate_status), str(paths.logrotate_config)]
|
||||
result = subprocess.run(cmd, capture_output=True, text=True)
|
||||
output = {
|
||||
"ok": result.returncode == 0,
|
||||
"returncode": result.returncode,
|
||||
"stdout": result.stdout.strip(),
|
||||
"stderr": result.stderr.strip(),
|
||||
}
|
||||
print(json.dumps(output, ensure_ascii=False, indent=2))
|
||||
return 0 if result.returncode == 0 else 1
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
raise SystemExit(main())
|
||||
@@ -1,15 +0,0 @@
|
||||
"""CLI adapter for smart executor."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import sys
|
||||
|
||||
from ..services.smart_executor_service import run
|
||||
|
||||
|
||||
def main() -> int:
|
||||
return run(sys.argv[1:])
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
raise SystemExit(main())
|
||||
132
src/coinhunter/config.py
Normal file
132
src/coinhunter/config.py
Normal file
@@ -0,0 +1,132 @@
|
||||
"""Configuration and secret loading for CoinHunter V2."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import os
|
||||
from pathlib import Path
|
||||
from typing import Any
|
||||
|
||||
from .runtime import RuntimePaths, ensure_runtime_dirs, get_runtime_paths
|
||||
|
||||
try:
|
||||
import tomllib
|
||||
except ModuleNotFoundError: # pragma: no cover
|
||||
import tomli as tomllib
|
||||
|
||||
|
||||
DEFAULT_CONFIG = """[runtime]
|
||||
timezone = "Asia/Shanghai"
|
||||
log_dir = "logs"
|
||||
output_format = "json"
|
||||
|
||||
[binance]
|
||||
spot_base_url = "https://api.binance.com"
|
||||
futures_base_url = "https://fapi.binance.com"
|
||||
recv_window = 5000
|
||||
|
||||
[market]
|
||||
default_quote = "USDT"
|
||||
universe_allowlist = []
|
||||
universe_denylist = []
|
||||
|
||||
[trading]
|
||||
spot_enabled = true
|
||||
futures_enabled = true
|
||||
dry_run_default = false
|
||||
dust_usdt_threshold = 10.0
|
||||
|
||||
[opportunity]
|
||||
min_quote_volume = 1000000.0
|
||||
top_n = 10
|
||||
scan_limit = 50
|
||||
ignore_dust = true
|
||||
lookback_intervals = ["1h", "4h", "1d"]
|
||||
|
||||
[opportunity.weights]
|
||||
trend = 1.0
|
||||
momentum = 1.0
|
||||
breakout = 0.8
|
||||
volume = 0.7
|
||||
volatility_penalty = 0.5
|
||||
position_concentration_penalty = 0.6
|
||||
"""
|
||||
|
||||
DEFAULT_ENV = "BINANCE_API_KEY=\nBINANCE_API_SECRET=\n"
|
||||
|
||||
|
||||
def _permission_denied_message(paths: RuntimePaths, exc: PermissionError) -> RuntimeError:
|
||||
return RuntimeError(
|
||||
"Unable to initialize CoinHunter runtime files because the target directory is not writable: "
|
||||
f"{paths.root}. Set COINHUNTER_HOME to a writable directory or rerun with permissions that can write there. "
|
||||
f"Original error: {exc}"
|
||||
)
|
||||
|
||||
|
||||
def ensure_init_files(paths: RuntimePaths | None = None, *, force: bool = False) -> dict[str, Any]:
|
||||
paths = paths or get_runtime_paths()
|
||||
try:
|
||||
ensure_runtime_dirs(paths)
|
||||
except PermissionError as exc:
|
||||
raise _permission_denied_message(paths, exc) from exc
|
||||
created: list[str] = []
|
||||
updated: list[str] = []
|
||||
|
||||
for path, content in ((paths.config_file, DEFAULT_CONFIG), (paths.env_file, DEFAULT_ENV)):
|
||||
if force or not path.exists():
|
||||
try:
|
||||
path.write_text(content, encoding="utf-8")
|
||||
except PermissionError as exc:
|
||||
raise _permission_denied_message(paths, exc) from exc
|
||||
(updated if force and path.exists() else created).append(str(path))
|
||||
return {
|
||||
"root": str(paths.root),
|
||||
"config_file": str(paths.config_file),
|
||||
"env_file": str(paths.env_file),
|
||||
"logs_dir": str(paths.logs_dir),
|
||||
"created_or_updated": created + updated,
|
||||
"force": force,
|
||||
}
|
||||
|
||||
|
||||
def load_config(paths: RuntimePaths | None = None) -> dict[str, Any]:
|
||||
paths = paths or get_runtime_paths()
|
||||
if not paths.config_file.exists():
|
||||
raise RuntimeError(f"Missing config file at {paths.config_file}. Run `coinhunter init` first.")
|
||||
return tomllib.loads(paths.config_file.read_text(encoding="utf-8")) # type: ignore[no-any-return]
|
||||
|
||||
|
||||
def load_env_file(paths: RuntimePaths | None = None) -> dict[str, str]:
|
||||
paths = paths or get_runtime_paths()
|
||||
loaded: dict[str, str] = {}
|
||||
if not paths.env_file.exists():
|
||||
return loaded
|
||||
for raw_line in paths.env_file.read_text(encoding="utf-8").splitlines():
|
||||
line = raw_line.strip()
|
||||
if not line or line.startswith("#") or "=" not in line:
|
||||
continue
|
||||
key, value = line.split("=", 1)
|
||||
key = key.strip()
|
||||
value = value.strip()
|
||||
loaded[key] = value
|
||||
os.environ[key] = value
|
||||
return loaded
|
||||
|
||||
|
||||
def get_binance_credentials(paths: RuntimePaths | None = None) -> dict[str, str]:
|
||||
load_env_file(paths)
|
||||
api_key = os.getenv("BINANCE_API_KEY", "").strip()
|
||||
api_secret = os.getenv("BINANCE_API_SECRET", "").strip()
|
||||
if not api_key or not api_secret:
|
||||
runtime_paths = paths or get_runtime_paths()
|
||||
raise RuntimeError(
|
||||
"Missing BINANCE_API_KEY or BINANCE_API_SECRET. "
|
||||
f"Populate {runtime_paths.env_file} or export them in the environment."
|
||||
)
|
||||
return {"api_key": api_key, "api_secret": api_secret}
|
||||
|
||||
|
||||
def resolve_log_dir(config: dict[str, Any], paths: RuntimePaths | None = None) -> Path:
|
||||
paths = paths or get_runtime_paths()
|
||||
raw = config.get("runtime", {}).get("log_dir", "logs")
|
||||
value = Path(raw).expanduser()
|
||||
return value if value.is_absolute() else paths.root / value
|
||||
@@ -1,8 +0,0 @@
|
||||
"""Backward-compatible facade for doctor."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
from .commands.doctor import main
|
||||
|
||||
if __name__ == "__main__":
|
||||
raise SystemExit(main())
|
||||
@@ -1,8 +0,0 @@
|
||||
"""Backward-compatible facade for external_gate."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
from .commands.external_gate import main
|
||||
|
||||
if __name__ == "__main__":
|
||||
raise SystemExit(main())
|
||||
@@ -1,8 +0,0 @@
|
||||
"""Backward-compatible facade for init_user_state."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
from .commands.init_user_state import main
|
||||
|
||||
if __name__ == "__main__":
|
||||
raise SystemExit(main())
|
||||
@@ -1,120 +0,0 @@
|
||||
#!/usr/bin/env python3
|
||||
"""Coin Hunter structured logger."""
|
||||
import json
|
||||
import traceback
|
||||
|
||||
__all__ = [
|
||||
"SCHEMA_VERSION",
|
||||
"log_decision",
|
||||
"log_trade",
|
||||
"log_snapshot",
|
||||
"log_error",
|
||||
"get_logs_by_date",
|
||||
"get_logs_last_n_hours",
|
||||
]
|
||||
from datetime import datetime, timedelta, timezone
|
||||
|
||||
from .runtime import get_runtime_paths, get_user_config
|
||||
|
||||
SCHEMA_VERSION = get_user_config("logging.schema_version", 2)
|
||||
|
||||
CST = timezone(timedelta(hours=8))
|
||||
|
||||
|
||||
def _log_dir():
|
||||
return get_runtime_paths().logs_dir
|
||||
|
||||
|
||||
def bj_now():
|
||||
return datetime.now(CST)
|
||||
|
||||
|
||||
def ensure_dir():
|
||||
_log_dir().mkdir(parents=True, exist_ok=True)
|
||||
|
||||
|
||||
def _append_jsonl(prefix: str, payload: dict):
|
||||
ensure_dir()
|
||||
date_str = bj_now().strftime("%Y%m%d")
|
||||
log_file = _log_dir() / f"{prefix}_{date_str}.jsonl"
|
||||
with open(log_file, "a", encoding="utf-8") as f:
|
||||
f.write(json.dumps(payload, ensure_ascii=False) + "\n")
|
||||
|
||||
|
||||
def log_event(prefix: str, payload: dict):
|
||||
entry = {
|
||||
"schema_version": SCHEMA_VERSION,
|
||||
"timestamp": bj_now().isoformat(),
|
||||
**payload,
|
||||
}
|
||||
_append_jsonl(prefix, entry)
|
||||
return entry
|
||||
|
||||
|
||||
def log_decision(data: dict):
|
||||
return log_event("decisions", data)
|
||||
|
||||
|
||||
def log_trade(action: str, symbol: str, qty: float | None = None, amount_usdt: float | None = None,
|
||||
price: float | None = None, note: str = "", **extra):
|
||||
payload = {
|
||||
"action": action,
|
||||
"symbol": symbol,
|
||||
"qty": qty,
|
||||
"amount_usdt": amount_usdt,
|
||||
"price": price,
|
||||
"note": note,
|
||||
**extra,
|
||||
}
|
||||
return log_event("trades", payload)
|
||||
|
||||
|
||||
def log_snapshot(market_data: dict, note: str = "", **extra):
|
||||
return log_event("snapshots", {"market_data": market_data, "note": note, **extra})
|
||||
|
||||
|
||||
def log_error(where: str, error: Exception | str, **extra):
|
||||
payload = {
|
||||
"where": where,
|
||||
"error_type": error.__class__.__name__ if isinstance(error, Exception) else "Error",
|
||||
"error": str(error),
|
||||
"traceback": traceback.format_exc() if isinstance(error, Exception) else None,
|
||||
**extra,
|
||||
}
|
||||
return log_event("errors", payload)
|
||||
|
||||
|
||||
def get_logs_by_date(log_type: str, date_str: str | None = None) -> list:
|
||||
if date_str is None:
|
||||
date_str = bj_now().strftime("%Y%m%d")
|
||||
log_file = _log_dir() / f"{log_type}_{date_str}.jsonl"
|
||||
if not log_file.exists():
|
||||
return []
|
||||
entries = []
|
||||
with open(log_file, "r", encoding="utf-8") as f:
|
||||
for line in f:
|
||||
line = line.strip()
|
||||
if not line:
|
||||
continue
|
||||
try:
|
||||
entries.append(json.loads(line))
|
||||
except json.JSONDecodeError:
|
||||
continue
|
||||
return entries
|
||||
|
||||
|
||||
def get_logs_last_n_hours(log_type: str, n_hours: int = 1) -> list:
|
||||
now = bj_now()
|
||||
cutoff = now - timedelta(hours=n_hours)
|
||||
entries = []
|
||||
for offset in [0, -1]:
|
||||
date_str = (now + timedelta(days=offset)).strftime("%Y%m%d")
|
||||
for entry in get_logs_by_date(log_type, date_str):
|
||||
try:
|
||||
ts = datetime.fromisoformat(entry["timestamp"])
|
||||
except Exception:
|
||||
continue
|
||||
if ts >= cutoff:
|
||||
entries.append(entry)
|
||||
entries.sort(key=lambda x: x.get("timestamp", ""))
|
||||
return entries
|
||||
@@ -1,8 +0,0 @@
|
||||
"""Backward-compatible facade for market_probe."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
from .commands.market_probe import main
|
||||
|
||||
if __name__ == "__main__":
|
||||
raise SystemExit(main())
|
||||
@@ -1,8 +0,0 @@
|
||||
"""Backward-compatible facade for paths."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
from .commands.paths import main
|
||||
|
||||
if __name__ == "__main__":
|
||||
raise SystemExit(main())
|
||||
@@ -1,96 +0,0 @@
|
||||
#!/usr/bin/env python3
|
||||
"""Backward-compatible facade for the precheck workflow.
|
||||
|
||||
The reusable implementation now lives under ``coinhunter.services``.
|
||||
Keep this module importable and executable so older entrypoints continue to work.
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import sys
|
||||
from importlib import import_module
|
||||
|
||||
from .services.precheck_service import run as _run_service
|
||||
|
||||
_CORE_EXPORTS = {
|
||||
"BASE_PRICE_MOVE_TRIGGER_PCT",
|
||||
"BASE_PNL_TRIGGER_PCT",
|
||||
"BASE_PORTFOLIO_MOVE_TRIGGER_PCT",
|
||||
"BASE_CANDIDATE_SCORE_TRIGGER_RATIO",
|
||||
"BASE_FORCE_ANALYSIS_AFTER_MINUTES",
|
||||
"BASE_COOLDOWN_MINUTES",
|
||||
"TOP_CANDIDATES",
|
||||
"MIN_ACTIONABLE_USDT",
|
||||
"MIN_REAL_POSITION_VALUE_USDT",
|
||||
"BLACKLIST",
|
||||
"HARD_STOP_PCT",
|
||||
"HARD_MOON_PCT",
|
||||
"MIN_CHANGE_PCT",
|
||||
"MAX_PRICE_CAP",
|
||||
"HARD_REASON_DEDUP_MINUTES",
|
||||
"MAX_PENDING_TRIGGER_MINUTES",
|
||||
"MAX_RUN_REQUEST_MINUTES",
|
||||
"utc_now",
|
||||
"utc_iso",
|
||||
"parse_ts",
|
||||
"load_json",
|
||||
"load_env",
|
||||
"load_positions",
|
||||
"load_state",
|
||||
"load_config",
|
||||
"clear_run_request_fields",
|
||||
"sanitize_state_for_stale_triggers",
|
||||
"save_state",
|
||||
"stable_hash",
|
||||
"get_exchange",
|
||||
"fetch_ohlcv_batch",
|
||||
"compute_ohlcv_metrics",
|
||||
"enrich_candidates_and_positions",
|
||||
"regime_from_pct",
|
||||
"to_float",
|
||||
"norm_symbol",
|
||||
"get_local_now",
|
||||
"session_label",
|
||||
"top_candidates_from_tickers",
|
||||
"build_snapshot",
|
||||
"build_adaptive_profile",
|
||||
"analyze_trigger",
|
||||
"update_state_after_observation",
|
||||
}
|
||||
|
||||
# Path-related exports are now lazy in precheck_core
|
||||
_PATH_EXPORTS = {
|
||||
"PATHS",
|
||||
"BASE_DIR",
|
||||
"STATE_DIR",
|
||||
"STATE_FILE",
|
||||
"POSITIONS_FILE",
|
||||
"CONFIG_FILE",
|
||||
"ENV_FILE",
|
||||
}
|
||||
|
||||
_STATE_EXPORTS = {"mark_run_requested", "ack_analysis"}
|
||||
|
||||
__all__ = sorted(_CORE_EXPORTS | _PATH_EXPORTS | _STATE_EXPORTS | {"main"})
|
||||
|
||||
|
||||
def __getattr__(name: str):
|
||||
if name in _CORE_EXPORTS:
|
||||
return getattr(import_module(".services.precheck_core", __package__), name)
|
||||
if name in _PATH_EXPORTS:
|
||||
return getattr(import_module(".services.precheck_core", __package__), name)
|
||||
if name in _STATE_EXPORTS:
|
||||
return getattr(import_module(".services.precheck_state", __package__), name)
|
||||
raise AttributeError(f"module {__name__!r} has no attribute {name!r}")
|
||||
|
||||
|
||||
def __dir__():
|
||||
return sorted(set(globals()) | set(__all__))
|
||||
|
||||
|
||||
def main():
|
||||
return _run_service(sys.argv[1:])
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
raise SystemExit(main())
|
||||
@@ -1,12 +0,0 @@
|
||||
#!/usr/bin/env python3
|
||||
"""Backward-compatible facade for review context.
|
||||
|
||||
The executable implementation lives in ``coinhunter.commands.review_context``.
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
from .commands.review_context import main
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
@@ -1,48 +0,0 @@
|
||||
#!/usr/bin/env python3
|
||||
"""Backward-compatible facade for review engine.
|
||||
|
||||
The executable implementation lives in ``coinhunter.commands.review_engine``.
|
||||
Core logic is in ``coinhunter.services.review_service``.
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
from importlib import import_module
|
||||
|
||||
# Re-export service functions for backward compatibility
|
||||
_EXPORT_MAP = {
|
||||
"load_env": (".services.review_service", "load_env"),
|
||||
"get_exchange": (".services.review_service", "get_exchange"),
|
||||
"ensure_review_dir": (".services.review_service", "ensure_review_dir"),
|
||||
"norm_symbol": (".services.review_service", "norm_symbol"),
|
||||
"fetch_current_price": (".services.review_service", "fetch_current_price"),
|
||||
"analyze_trade": (".services.review_service", "analyze_trade"),
|
||||
"analyze_hold_passes": (".services.review_service", "analyze_hold_passes"),
|
||||
"analyze_cash_misses": (".services.review_service", "analyze_cash_misses"),
|
||||
"generate_review": (".services.review_service", "generate_review"),
|
||||
"save_review": (".services.review_service", "save_review"),
|
||||
"print_review": (".services.review_service", "print_review"),
|
||||
}
|
||||
|
||||
__all__ = sorted(set(_EXPORT_MAP) | {"main"})
|
||||
|
||||
|
||||
def __getattr__(name: str):
|
||||
if name not in _EXPORT_MAP:
|
||||
raise AttributeError(f"module {__name__!r} has no attribute {name!r}")
|
||||
module_name, attr_name = _EXPORT_MAP[name]
|
||||
module = import_module(module_name, __package__)
|
||||
return getattr(module, attr_name)
|
||||
|
||||
|
||||
def __dir__():
|
||||
return sorted(set(globals()) | set(__all__))
|
||||
|
||||
|
||||
def main():
|
||||
from .commands.review_engine import main as _main
|
||||
return _main()
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
raise SystemExit(main())
|
||||
@@ -1,8 +0,0 @@
|
||||
"""Backward-compatible facade for rotate_external_gate_log."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
from .commands.rotate_external_gate_log import main
|
||||
|
||||
if __name__ == "__main__":
|
||||
raise SystemExit(main())
|
||||
@@ -1,127 +1,52 @@
|
||||
"""Runtime paths and environment helpers for CoinHunter CLI."""
|
||||
"""Runtime helpers for CoinHunter V2."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import json
|
||||
import os
|
||||
import shutil
|
||||
from dataclasses import asdict, dataclass
|
||||
from dataclasses import asdict, dataclass, is_dataclass
|
||||
from datetime import date, datetime
|
||||
from pathlib import Path
|
||||
from typing import Any
|
||||
|
||||
|
||||
@dataclass(frozen=True)
|
||||
class RuntimePaths:
|
||||
root: Path
|
||||
cache_dir: Path
|
||||
state_dir: Path
|
||||
logs_dir: Path
|
||||
reviews_dir: Path
|
||||
config_file: Path
|
||||
positions_file: Path
|
||||
accounts_file: Path
|
||||
executions_file: Path
|
||||
watchlist_file: Path
|
||||
notes_file: Path
|
||||
positions_lock: Path
|
||||
executions_lock: Path
|
||||
precheck_state_file: Path
|
||||
precheck_state_lock: Path
|
||||
external_gate_lock: Path
|
||||
logrotate_config: Path
|
||||
logrotate_status: Path
|
||||
hermes_home: Path
|
||||
env_file: Path
|
||||
hermes_bin: Path
|
||||
logs_dir: Path
|
||||
|
||||
def as_dict(self) -> dict[str, str]:
|
||||
return {key: str(value) for key, value in asdict(self).items()}
|
||||
|
||||
|
||||
def _default_coinhunter_home() -> Path:
|
||||
raw = os.getenv("COINHUNTER_HOME")
|
||||
return Path(raw).expanduser() if raw else Path.home() / ".coinhunter"
|
||||
|
||||
|
||||
def _default_hermes_home() -> Path:
|
||||
raw = os.getenv("HERMES_HOME")
|
||||
return Path(raw).expanduser() if raw else Path.home() / ".hermes"
|
||||
|
||||
|
||||
def get_runtime_paths() -> RuntimePaths:
|
||||
root = _default_coinhunter_home()
|
||||
hermes_home = _default_hermes_home()
|
||||
state_dir = root / "state"
|
||||
root = Path(os.getenv("COINHUNTER_HOME", "~/.coinhunter")).expanduser()
|
||||
return RuntimePaths(
|
||||
root=root,
|
||||
cache_dir=root / "cache",
|
||||
state_dir=state_dir,
|
||||
config_file=root / "config.toml",
|
||||
env_file=root / ".env",
|
||||
logs_dir=root / "logs",
|
||||
reviews_dir=root / "reviews",
|
||||
config_file=root / "config.json",
|
||||
positions_file=root / "positions.json",
|
||||
accounts_file=root / "accounts.json",
|
||||
executions_file=root / "executions.json",
|
||||
watchlist_file=root / "watchlist.json",
|
||||
notes_file=root / "notes.json",
|
||||
positions_lock=root / "positions.lock",
|
||||
executions_lock=root / "executions.lock",
|
||||
precheck_state_file=state_dir / "precheck_state.json",
|
||||
precheck_state_lock=state_dir / "precheck_state.lock",
|
||||
external_gate_lock=state_dir / "external_gate.lock",
|
||||
logrotate_config=root / "logrotate_external_gate.conf",
|
||||
logrotate_status=state_dir / "logrotate_external_gate.status",
|
||||
hermes_home=hermes_home,
|
||||
env_file=Path(os.getenv("COINHUNTER_ENV_FILE", str(hermes_home / ".env"))).expanduser(),
|
||||
hermes_bin=Path(os.getenv("HERMES_BIN", str(Path.home() / ".local" / "bin" / "hermes"))).expanduser(),
|
||||
)
|
||||
|
||||
|
||||
def ensure_runtime_dirs(paths: RuntimePaths | None = None) -> RuntimePaths:
|
||||
paths = paths or get_runtime_paths()
|
||||
for directory in (paths.root, paths.cache_dir, paths.state_dir, paths.logs_dir, paths.reviews_dir):
|
||||
directory.mkdir(parents=True, exist_ok=True)
|
||||
paths.root.mkdir(parents=True, exist_ok=True)
|
||||
paths.logs_dir.mkdir(parents=True, exist_ok=True)
|
||||
return paths
|
||||
|
||||
|
||||
def load_env_file(paths: RuntimePaths | None = None) -> Path:
|
||||
paths = paths or get_runtime_paths()
|
||||
if paths.env_file.exists():
|
||||
for line in paths.env_file.read_text(encoding="utf-8").splitlines():
|
||||
line = line.strip()
|
||||
if line and not line.startswith("#") and "=" in line:
|
||||
key, value = line.split("=", 1)
|
||||
os.environ.setdefault(key.strip(), value.strip())
|
||||
return paths.env_file
|
||||
def json_default(value: Any) -> Any:
|
||||
if is_dataclass(value) and not isinstance(value, type):
|
||||
return asdict(value)
|
||||
if isinstance(value, (datetime, date)):
|
||||
return value.isoformat()
|
||||
if isinstance(value, Path):
|
||||
return str(value)
|
||||
raise TypeError(f"Object of type {type(value).__name__} is not JSON serializable")
|
||||
|
||||
|
||||
def resolve_hermes_executable(paths: RuntimePaths | None = None) -> str:
|
||||
paths = paths or get_runtime_paths()
|
||||
discovered = shutil.which("hermes")
|
||||
if discovered:
|
||||
return discovered
|
||||
return str(paths.hermes_bin)
|
||||
|
||||
|
||||
def mask_secret(value: str | None, *, tail: int = 4) -> str:
|
||||
if not value:
|
||||
return ""
|
||||
if len(value) <= tail:
|
||||
return "*" * len(value)
|
||||
return "*" * max(4, len(value) - tail) + value[-tail:]
|
||||
|
||||
|
||||
def get_user_config(key: str, default=None):
|
||||
"""Read a dotted key from the user config file."""
|
||||
paths = get_runtime_paths()
|
||||
try:
|
||||
config = json.loads(paths.config_file.read_text(encoding="utf-8"))
|
||||
except Exception:
|
||||
return default
|
||||
for part in key.split("."):
|
||||
if isinstance(config, dict):
|
||||
config = config.get(part)
|
||||
if config is None:
|
||||
return default
|
||||
else:
|
||||
return default
|
||||
return config if config is not None else default
|
||||
def print_json(payload: Any) -> None:
|
||||
print(json.dumps(payload, ensure_ascii=False, indent=2, sort_keys=True, default=json_default))
|
||||
|
||||
@@ -1 +1 @@
|
||||
"""Application services for CoinHunter."""
|
||||
"""Service layer for CoinHunter V2."""
|
||||
|
||||
285
src/coinhunter/services/account_service.py
Normal file
285
src/coinhunter/services/account_service.py
Normal file
@@ -0,0 +1,285 @@
|
||||
"""Account and position services."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
from dataclasses import asdict, dataclass
|
||||
from typing import Any
|
||||
|
||||
from .market_service import normalize_symbol
|
||||
|
||||
|
||||
@dataclass
|
||||
class AssetBalance:
|
||||
market_type: str
|
||||
asset: str
|
||||
free: float
|
||||
locked: float
|
||||
total: float
|
||||
notional_usdt: float
|
||||
|
||||
|
||||
@dataclass
|
||||
class PositionView:
|
||||
market_type: str
|
||||
symbol: str
|
||||
quantity: float
|
||||
entry_price: float | None
|
||||
mark_price: float
|
||||
notional_usdt: float
|
||||
unrealized_pnl: float | None
|
||||
side: str
|
||||
|
||||
|
||||
@dataclass
|
||||
class AccountOverview:
|
||||
total_equity_usdt: float
|
||||
spot_equity_usdt: float
|
||||
futures_equity_usdt: float
|
||||
spot_asset_count: int
|
||||
futures_position_count: int
|
||||
|
||||
|
||||
def _spot_price_map(spot_client: Any, quote: str, assets: list[str]) -> dict[str, float]:
|
||||
symbols = [f"{asset}{quote}" for asset in assets if asset != quote]
|
||||
price_map = {quote: 1.0}
|
||||
if not symbols:
|
||||
return price_map
|
||||
for item in spot_client.ticker_price(symbols):
|
||||
symbol = item.get("symbol", "")
|
||||
if symbol.endswith(quote):
|
||||
price_map[symbol.removesuffix(quote)] = float(item.get("price", 0.0))
|
||||
return price_map
|
||||
|
||||
|
||||
def _spot_account_data(spot_client: Any, quote: str) -> tuple[list[dict[str, Any]], list[str], dict[str, float]]:
|
||||
account = spot_client.account_info()
|
||||
balances = account.get("balances", [])
|
||||
assets = [item["asset"] for item in balances if float(item.get("free", 0)) + float(item.get("locked", 0)) > 0]
|
||||
price_map = _spot_price_map(spot_client, quote, assets)
|
||||
return balances, assets, price_map
|
||||
|
||||
|
||||
def get_balances(
|
||||
config: dict[str, Any],
|
||||
*,
|
||||
include_spot: bool,
|
||||
include_futures: bool,
|
||||
spot_client: Any | None = None,
|
||||
futures_client: Any | None = None,
|
||||
) -> dict[str, Any]:
|
||||
quote = str(config.get("market", {}).get("default_quote", "USDT")).upper()
|
||||
rows: list[dict[str, Any]] = []
|
||||
|
||||
if include_spot and spot_client is not None:
|
||||
balances, _, price_map = _spot_account_data(spot_client, quote)
|
||||
for item in balances:
|
||||
free = float(item.get("free", 0.0))
|
||||
locked = float(item.get("locked", 0.0))
|
||||
total = free + locked
|
||||
if total <= 0:
|
||||
continue
|
||||
asset = item["asset"]
|
||||
rows.append(
|
||||
asdict(
|
||||
AssetBalance(
|
||||
market_type="spot",
|
||||
asset=asset,
|
||||
free=free,
|
||||
locked=locked,
|
||||
total=total,
|
||||
notional_usdt=total * price_map.get(asset, 0.0),
|
||||
)
|
||||
)
|
||||
)
|
||||
|
||||
if include_futures and futures_client is not None:
|
||||
for item in futures_client.balance():
|
||||
balance = float(item.get("balance", 0.0))
|
||||
available = float(item.get("availableBalance", balance))
|
||||
if balance <= 0:
|
||||
continue
|
||||
asset = item["asset"]
|
||||
rows.append(
|
||||
asdict(
|
||||
AssetBalance(
|
||||
market_type="futures",
|
||||
asset=asset,
|
||||
free=available,
|
||||
locked=max(balance - available, 0.0),
|
||||
total=balance,
|
||||
notional_usdt=balance if asset == quote else 0.0,
|
||||
)
|
||||
)
|
||||
)
|
||||
|
||||
return {"balances": rows}
|
||||
|
||||
|
||||
def get_positions(
|
||||
config: dict[str, Any],
|
||||
*,
|
||||
include_spot: bool,
|
||||
include_futures: bool,
|
||||
spot_client: Any | None = None,
|
||||
futures_client: Any | None = None,
|
||||
) -> dict[str, Any]:
|
||||
quote = str(config.get("market", {}).get("default_quote", "USDT")).upper()
|
||||
dust = float(config.get("trading", {}).get("dust_usdt_threshold", 0.0))
|
||||
rows: list[dict[str, Any]] = []
|
||||
|
||||
if include_spot and spot_client is not None:
|
||||
balances, _, price_map = _spot_account_data(spot_client, quote)
|
||||
for item in balances:
|
||||
quantity = float(item.get("free", 0.0)) + float(item.get("locked", 0.0))
|
||||
if quantity <= 0:
|
||||
continue
|
||||
asset = item["asset"]
|
||||
symbol = quote if asset == quote else f"{asset}{quote}"
|
||||
mark_price = price_map.get(asset, 1.0 if asset == quote else 0.0)
|
||||
notional = quantity * mark_price
|
||||
if notional < dust:
|
||||
continue
|
||||
rows.append(
|
||||
asdict(
|
||||
PositionView(
|
||||
market_type="spot",
|
||||
symbol=symbol,
|
||||
quantity=quantity,
|
||||
entry_price=None,
|
||||
mark_price=mark_price,
|
||||
notional_usdt=notional,
|
||||
unrealized_pnl=None,
|
||||
side="LONG",
|
||||
)
|
||||
)
|
||||
)
|
||||
|
||||
if include_futures and futures_client is not None:
|
||||
for item in futures_client.position_risk():
|
||||
quantity = float(item.get("positionAmt", 0.0))
|
||||
notional = abs(float(item.get("notional", 0.0)))
|
||||
if quantity == 0 or notional < dust:
|
||||
continue
|
||||
side = "LONG" if quantity > 0 else "SHORT"
|
||||
rows.append(
|
||||
asdict(
|
||||
PositionView(
|
||||
market_type="futures",
|
||||
symbol=normalize_symbol(item["symbol"]),
|
||||
quantity=abs(quantity),
|
||||
entry_price=float(item.get("entryPrice", 0.0)),
|
||||
mark_price=float(item.get("markPrice", 0.0)),
|
||||
notional_usdt=notional,
|
||||
unrealized_pnl=float(item.get("unRealizedProfit", 0.0)),
|
||||
side=side,
|
||||
)
|
||||
)
|
||||
)
|
||||
|
||||
return {"positions": rows}
|
||||
|
||||
|
||||
def get_overview(
|
||||
config: dict[str, Any],
|
||||
*,
|
||||
include_spot: bool,
|
||||
include_futures: bool,
|
||||
spot_client: Any | None = None,
|
||||
futures_client: Any | None = None,
|
||||
) -> dict[str, Any]:
|
||||
quote = str(config.get("market", {}).get("default_quote", "USDT")).upper()
|
||||
dust = float(config.get("trading", {}).get("dust_usdt_threshold", 0.0))
|
||||
balances: list[dict[str, Any]] = []
|
||||
positions: list[dict[str, Any]] = []
|
||||
|
||||
if include_spot and spot_client is not None:
|
||||
spot_balances, _, price_map = _spot_account_data(spot_client, quote)
|
||||
for item in spot_balances:
|
||||
free = float(item.get("free", 0.0))
|
||||
locked = float(item.get("locked", 0.0))
|
||||
total = free + locked
|
||||
if total <= 0:
|
||||
continue
|
||||
asset = item["asset"]
|
||||
balances.append(
|
||||
asdict(
|
||||
AssetBalance(
|
||||
market_type="spot",
|
||||
asset=asset,
|
||||
free=free,
|
||||
locked=locked,
|
||||
total=total,
|
||||
notional_usdt=total * price_map.get(asset, 0.0),
|
||||
)
|
||||
)
|
||||
)
|
||||
mark_price = price_map.get(asset, 1.0 if asset == quote else 0.0)
|
||||
notional = total * mark_price
|
||||
if notional >= dust:
|
||||
positions.append(
|
||||
asdict(
|
||||
PositionView(
|
||||
market_type="spot",
|
||||
symbol=quote if asset == quote else f"{asset}{quote}",
|
||||
quantity=total,
|
||||
entry_price=None,
|
||||
mark_price=mark_price,
|
||||
notional_usdt=notional,
|
||||
unrealized_pnl=None,
|
||||
side="LONG",
|
||||
)
|
||||
)
|
||||
)
|
||||
|
||||
if include_futures and futures_client is not None:
|
||||
for item in futures_client.balance():
|
||||
balance = float(item.get("balance", 0.0))
|
||||
available = float(item.get("availableBalance", balance))
|
||||
if balance <= 0:
|
||||
continue
|
||||
asset = item["asset"]
|
||||
balances.append(
|
||||
asdict(
|
||||
AssetBalance(
|
||||
market_type="futures",
|
||||
asset=asset,
|
||||
free=available,
|
||||
locked=max(balance - available, 0.0),
|
||||
total=balance,
|
||||
notional_usdt=balance if asset == quote else 0.0,
|
||||
)
|
||||
)
|
||||
)
|
||||
for item in futures_client.position_risk():
|
||||
quantity = float(item.get("positionAmt", 0.0))
|
||||
notional = abs(float(item.get("notional", 0.0)))
|
||||
if quantity == 0 or notional < dust:
|
||||
continue
|
||||
side = "LONG" if quantity > 0 else "SHORT"
|
||||
positions.append(
|
||||
asdict(
|
||||
PositionView(
|
||||
market_type="futures",
|
||||
symbol=normalize_symbol(item["symbol"]),
|
||||
quantity=abs(quantity),
|
||||
entry_price=float(item.get("entryPrice", 0.0)),
|
||||
mark_price=float(item.get("markPrice", 0.0)),
|
||||
notional_usdt=notional,
|
||||
unrealized_pnl=float(item.get("unRealizedProfit", 0.0)),
|
||||
side=side,
|
||||
)
|
||||
)
|
||||
)
|
||||
|
||||
spot_equity = sum(item["notional_usdt"] for item in balances if item["market_type"] == "spot")
|
||||
futures_equity = sum(item["notional_usdt"] for item in balances if item["market_type"] == "futures")
|
||||
overview = asdict(
|
||||
AccountOverview(
|
||||
total_equity_usdt=spot_equity + futures_equity,
|
||||
spot_equity_usdt=spot_equity,
|
||||
futures_equity_usdt=futures_equity,
|
||||
spot_asset_count=sum(1 for item in balances if item["market_type"] == "spot"),
|
||||
futures_position_count=sum(1 for item in positions if item["market_type"] == "futures"),
|
||||
)
|
||||
)
|
||||
return {"overview": overview, "balances": balances, "positions": positions}
|
||||
@@ -1,105 +0,0 @@
|
||||
"""Adaptive trigger profile builder for precheck."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
from .data_utils import to_float
|
||||
from .precheck_constants import (
|
||||
BASE_CANDIDATE_SCORE_TRIGGER_RATIO,
|
||||
BASE_COOLDOWN_MINUTES,
|
||||
BASE_FORCE_ANALYSIS_AFTER_MINUTES,
|
||||
BASE_PNL_TRIGGER_PCT,
|
||||
BASE_PORTFOLIO_MOVE_TRIGGER_PCT,
|
||||
BASE_PRICE_MOVE_TRIGGER_PCT,
|
||||
MIN_ACTIONABLE_USDT,
|
||||
MIN_REAL_POSITION_VALUE_USDT,
|
||||
)
|
||||
|
||||
|
||||
def build_adaptive_profile(snapshot: dict):
|
||||
portfolio_value = snapshot.get("portfolio_value_usdt", 0)
|
||||
free_usdt = snapshot.get("free_usdt", 0)
|
||||
session = snapshot.get("session")
|
||||
market = snapshot.get("market_regime", {})
|
||||
volatility_score = to_float(market.get("volatility_score"), 0)
|
||||
leader_score = to_float(market.get("leader_score"), 0)
|
||||
actionable_positions = int(snapshot.get("actionable_positions") or 0)
|
||||
largest_position_value = to_float(snapshot.get("largest_position_value_usdt"), 0)
|
||||
|
||||
capital_band = "micro" if portfolio_value < 25 else "small" if portfolio_value < 100 else "normal"
|
||||
session_mode = "quiet" if session in {"overnight", "asia-morning"} else "active"
|
||||
volatility_mode = "high" if volatility_score >= 2.5 or leader_score >= 120 else "normal"
|
||||
dust_mode = free_usdt < MIN_ACTIONABLE_USDT and largest_position_value < MIN_REAL_POSITION_VALUE_USDT
|
||||
|
||||
price_trigger = BASE_PRICE_MOVE_TRIGGER_PCT
|
||||
pnl_trigger = BASE_PNL_TRIGGER_PCT
|
||||
portfolio_trigger = BASE_PORTFOLIO_MOVE_TRIGGER_PCT
|
||||
candidate_ratio = BASE_CANDIDATE_SCORE_TRIGGER_RATIO
|
||||
force_minutes = BASE_FORCE_ANALYSIS_AFTER_MINUTES
|
||||
cooldown_minutes = BASE_COOLDOWN_MINUTES
|
||||
soft_score_threshold = 2.0
|
||||
|
||||
if capital_band == "micro":
|
||||
price_trigger += 0.02
|
||||
pnl_trigger += 0.03
|
||||
portfolio_trigger += 0.04
|
||||
candidate_ratio += 0.25
|
||||
force_minutes += 180
|
||||
cooldown_minutes += 30
|
||||
soft_score_threshold += 1.0
|
||||
elif capital_band == "small":
|
||||
price_trigger += 0.01
|
||||
pnl_trigger += 0.01
|
||||
portfolio_trigger += 0.01
|
||||
candidate_ratio += 0.1
|
||||
force_minutes += 60
|
||||
cooldown_minutes += 10
|
||||
soft_score_threshold += 0.5
|
||||
|
||||
if session_mode == "quiet":
|
||||
price_trigger += 0.01
|
||||
pnl_trigger += 0.01
|
||||
portfolio_trigger += 0.01
|
||||
candidate_ratio += 0.05
|
||||
soft_score_threshold += 0.5
|
||||
else:
|
||||
force_minutes = max(120, force_minutes - 30)
|
||||
|
||||
if volatility_mode == "high":
|
||||
price_trigger = max(0.02, price_trigger - 0.01)
|
||||
pnl_trigger = max(0.025, pnl_trigger - 0.005)
|
||||
portfolio_trigger = max(0.025, portfolio_trigger - 0.005)
|
||||
candidate_ratio = max(1.1, candidate_ratio - 0.1)
|
||||
cooldown_minutes = max(20, cooldown_minutes - 10)
|
||||
soft_score_threshold = max(1.0, soft_score_threshold - 0.5)
|
||||
|
||||
if dust_mode:
|
||||
candidate_ratio += 0.3
|
||||
force_minutes += 180
|
||||
cooldown_minutes += 30
|
||||
soft_score_threshold += 1.5
|
||||
|
||||
return {
|
||||
"capital_band": capital_band,
|
||||
"session_mode": session_mode,
|
||||
"volatility_mode": volatility_mode,
|
||||
"dust_mode": dust_mode,
|
||||
"price_move_trigger_pct": round(price_trigger, 4),
|
||||
"pnl_trigger_pct": round(pnl_trigger, 4),
|
||||
"portfolio_move_trigger_pct": round(portfolio_trigger, 4),
|
||||
"candidate_score_trigger_ratio": round(candidate_ratio, 4),
|
||||
"force_analysis_after_minutes": int(force_minutes),
|
||||
"cooldown_minutes": int(cooldown_minutes),
|
||||
"soft_score_threshold": round(soft_score_threshold, 2),
|
||||
"new_entries_allowed": free_usdt >= MIN_ACTIONABLE_USDT and not dust_mode,
|
||||
"switching_allowed": actionable_positions > 0 or portfolio_value >= 25,
|
||||
}
|
||||
|
||||
|
||||
def _candidate_weight(snapshot: dict, profile: dict) -> float:
|
||||
if not profile.get("new_entries_allowed"):
|
||||
return 0.5
|
||||
if profile.get("volatility_mode") == "high":
|
||||
return 1.5
|
||||
if snapshot.get("session") in {"europe-open", "us-session"}:
|
||||
return 1.25
|
||||
return 1.0
|
||||
@@ -1,71 +0,0 @@
|
||||
"""Candidate coin scoring and selection for precheck."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import re
|
||||
|
||||
from .data_utils import to_float
|
||||
from .precheck_constants import BLACKLIST, MAX_PRICE_CAP, MIN_CHANGE_PCT, TOP_CANDIDATES
|
||||
|
||||
|
||||
def _liquidity_score(volume: float) -> float:
|
||||
return min(1.0, max(0.0, volume / 50_000_000))
|
||||
|
||||
|
||||
def _breakout_score(price: float, avg_price: float | None) -> float:
|
||||
if not avg_price or avg_price <= 0:
|
||||
return 0.0
|
||||
return (price - avg_price) / avg_price
|
||||
|
||||
|
||||
def top_candidates_from_tickers(tickers: dict):
|
||||
candidates = []
|
||||
for symbol, ticker in tickers.items():
|
||||
if not symbol.endswith("/USDT"):
|
||||
continue
|
||||
base = symbol.replace("/USDT", "")
|
||||
if base in BLACKLIST:
|
||||
continue
|
||||
if not re.fullmatch(r"[A-Z0-9]{2,20}", base):
|
||||
continue
|
||||
price = to_float(ticker.get("last"))
|
||||
change_pct = to_float(ticker.get("percentage"))
|
||||
volume = to_float(ticker.get("quoteVolume"))
|
||||
high = to_float(ticker.get("high"))
|
||||
low = to_float(ticker.get("low"))
|
||||
avg_price = to_float(ticker.get("average"), None)
|
||||
if price <= 0:
|
||||
continue
|
||||
if MAX_PRICE_CAP is not None and price > MAX_PRICE_CAP:
|
||||
continue
|
||||
if volume < 500_000:
|
||||
continue
|
||||
if change_pct < MIN_CHANGE_PCT:
|
||||
continue
|
||||
momentum = change_pct / 10.0
|
||||
liquidity = _liquidity_score(volume)
|
||||
breakout = _breakout_score(price, avg_price)
|
||||
score = round(momentum * 0.5 + liquidity * 0.3 + breakout * 0.2, 4)
|
||||
band = "major" if price >= 10 else "mid" if price >= 1 else "meme"
|
||||
distance_from_high = (high - price) / max(high, 1e-9) if high else None
|
||||
candidates.append({
|
||||
"symbol": symbol,
|
||||
"base": base,
|
||||
"price": round(price, 8),
|
||||
"change_24h_pct": round(change_pct, 2),
|
||||
"volume_24h": round(volume, 2),
|
||||
"breakout_pct": round(breakout * 100, 2),
|
||||
"high_24h": round(high, 8) if high else None,
|
||||
"low_24h": round(low, 8) if low else None,
|
||||
"distance_from_high_pct": round(distance_from_high * 100, 2) if distance_from_high is not None else None,
|
||||
"score": score,
|
||||
"band": band,
|
||||
})
|
||||
candidates.sort(key=lambda x: x["score"], reverse=True)
|
||||
global_top = candidates[:TOP_CANDIDATES]
|
||||
layers: dict[str, list[dict]] = {"major": [], "mid": [], "meme": []}
|
||||
for c in candidates:
|
||||
layers[c["band"]].append(c)
|
||||
for k in layers:
|
||||
layers[k] = layers[k][:5]
|
||||
return global_top, layers
|
||||
@@ -1,39 +0,0 @@
|
||||
"""Generic data helpers for precheck."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import hashlib
|
||||
import json
|
||||
from pathlib import Path
|
||||
|
||||
|
||||
def load_json(path: Path, default):
|
||||
if not path.exists():
|
||||
return default
|
||||
try:
|
||||
return json.loads(path.read_text(encoding="utf-8"))
|
||||
except Exception:
|
||||
return default
|
||||
|
||||
|
||||
def stable_hash(data) -> str:
|
||||
payload = json.dumps(data, sort_keys=True, ensure_ascii=False, separators=(",", ":"))
|
||||
return hashlib.sha1(payload.encode("utf-8")).hexdigest()
|
||||
|
||||
|
||||
def to_float(value, default=0.0):
|
||||
try:
|
||||
if value is None:
|
||||
return default
|
||||
return float(value)
|
||||
except Exception:
|
||||
return default
|
||||
|
||||
|
||||
def norm_symbol(symbol: str) -> str:
|
||||
s = symbol.upper().replace("-", "").replace("_", "")
|
||||
if "/" in s:
|
||||
return s
|
||||
if s.endswith("USDT"):
|
||||
return s[:-4] + "/USDT"
|
||||
return s
|
||||
@@ -1,150 +0,0 @@
|
||||
"""Exchange helpers (ccxt, markets, balances, order prep)."""
|
||||
import math
|
||||
import os
|
||||
import time
|
||||
|
||||
__all__ = [
|
||||
"load_env",
|
||||
"get_exchange",
|
||||
"norm_symbol",
|
||||
"storage_symbol",
|
||||
"fetch_balances",
|
||||
"build_market_snapshot",
|
||||
"market_and_ticker",
|
||||
"floor_to_step",
|
||||
"prepare_buy_quantity",
|
||||
"prepare_sell_quantity",
|
||||
]
|
||||
|
||||
import ccxt
|
||||
|
||||
from ..runtime import get_runtime_paths, get_user_config, load_env_file
|
||||
|
||||
_exchange_cache = None
|
||||
_exchange_cached_at = None
|
||||
|
||||
CACHE_TTL_SECONDS = 3600
|
||||
|
||||
|
||||
def load_env():
|
||||
load_env_file(get_runtime_paths())
|
||||
|
||||
|
||||
def get_exchange(force_new: bool = False):
|
||||
global _exchange_cache, _exchange_cached_at
|
||||
now = time.time()
|
||||
if not force_new and _exchange_cache is not None and _exchange_cached_at is not None:
|
||||
ttl = get_user_config("exchange.cache_ttl_seconds", CACHE_TTL_SECONDS)
|
||||
if now - _exchange_cached_at < ttl:
|
||||
return _exchange_cache
|
||||
load_env()
|
||||
api_key = os.getenv("BINANCE_API_KEY")
|
||||
secret = os.getenv("BINANCE_API_SECRET")
|
||||
if not api_key or not secret:
|
||||
raise RuntimeError("Missing BINANCE_API_KEY or BINANCE_API_SECRET")
|
||||
ex = ccxt.binance(
|
||||
{
|
||||
"apiKey": api_key,
|
||||
"secret": secret,
|
||||
"options": {"defaultType": "spot", "createMarketBuyOrderRequiresPrice": False},
|
||||
"enableRateLimit": True,
|
||||
}
|
||||
)
|
||||
ex.load_markets()
|
||||
_exchange_cache = ex
|
||||
_exchange_cached_at = now
|
||||
return ex
|
||||
|
||||
|
||||
def norm_symbol(symbol: str) -> str:
|
||||
s = symbol.upper().replace("-", "").replace("_", "")
|
||||
if "/" in s:
|
||||
return s
|
||||
if s.endswith("USDT"):
|
||||
return s[:-4] + "/USDT"
|
||||
raise ValueError(f"Unsupported symbol: {symbol}")
|
||||
|
||||
|
||||
def storage_symbol(symbol: str) -> str:
|
||||
return norm_symbol(symbol).replace("/", "")
|
||||
|
||||
|
||||
def fetch_balances(ex):
|
||||
bal = ex.fetch_balance()["free"]
|
||||
return {k: float(v) for k, v in bal.items() if float(v) > 0}
|
||||
|
||||
|
||||
def build_market_snapshot(ex):
|
||||
try:
|
||||
tickers = ex.fetch_tickers()
|
||||
except Exception:
|
||||
return {}
|
||||
snapshot = {}
|
||||
for sym, t in tickers.items():
|
||||
if not sym.endswith("/USDT"):
|
||||
continue
|
||||
price = t.get("last")
|
||||
if price is None or float(price) <= 0:
|
||||
continue
|
||||
vol = float(t.get("quoteVolume") or 0)
|
||||
min_volume = get_user_config("exchange.min_quote_volume", 200_000)
|
||||
if vol < min_volume:
|
||||
continue
|
||||
base = sym.replace("/", "")
|
||||
snapshot[base] = {
|
||||
"lastPrice": round(float(price), 8),
|
||||
"price24hPcnt": round(float(t.get("percentage") or 0), 4),
|
||||
"highPrice24h": round(float(t.get("high") or 0), 8) if t.get("high") else None,
|
||||
"lowPrice24h": round(float(t.get("low") or 0), 8) if t.get("low") else None,
|
||||
"turnover24h": round(float(vol), 2),
|
||||
}
|
||||
return snapshot
|
||||
|
||||
|
||||
def market_and_ticker(ex, symbol: str):
|
||||
sym = norm_symbol(symbol)
|
||||
market = ex.market(sym)
|
||||
ticker = ex.fetch_ticker(sym)
|
||||
return sym, market, ticker
|
||||
|
||||
|
||||
def floor_to_step(value: float, step: float) -> float:
|
||||
if not step or step <= 0:
|
||||
return value
|
||||
return math.floor(value / step) * step
|
||||
|
||||
|
||||
def prepare_buy_quantity(ex, symbol: str, amount_usdt: float):
|
||||
from .trade_common import USDT_BUFFER_PCT
|
||||
|
||||
sym, market, ticker = market_and_ticker(ex, symbol)
|
||||
ask = float(ticker.get("ask") or ticker.get("last") or 0)
|
||||
if ask <= 0:
|
||||
raise RuntimeError(f"No valid ask price for {sym}")
|
||||
budget = amount_usdt * (1 - USDT_BUFFER_PCT)
|
||||
raw_qty = budget / ask
|
||||
qty = float(ex.amount_to_precision(sym, raw_qty))
|
||||
min_amt = (market.get("limits", {}).get("amount", {}) or {}).get("min") or 0
|
||||
min_cost = (market.get("limits", {}).get("cost", {}) or {}).get("min") or 0
|
||||
if min_amt and qty < float(min_amt):
|
||||
raise RuntimeError(f"Buy quantity {qty} for {sym} below minimum {min_amt}")
|
||||
est_cost = qty * ask
|
||||
if min_cost and est_cost < float(min_cost):
|
||||
raise RuntimeError(f"Buy cost ${est_cost:.4f} for {sym} below minimum ${float(min_cost):.4f}")
|
||||
return sym, qty, ask, est_cost
|
||||
|
||||
|
||||
def prepare_sell_quantity(ex, symbol: str, free_qty: float):
|
||||
sym, market, ticker = market_and_ticker(ex, symbol)
|
||||
bid = float(ticker.get("bid") or ticker.get("last") or 0)
|
||||
if bid <= 0:
|
||||
raise RuntimeError(f"No valid bid price for {sym}")
|
||||
qty = float(ex.amount_to_precision(sym, free_qty))
|
||||
min_amt = (market.get("limits", {}).get("amount", {}) or {}).get("min") or 0
|
||||
min_cost = (market.get("limits", {}).get("cost", {}) or {}).get("min") or 0
|
||||
if min_amt and qty < float(min_amt):
|
||||
raise RuntimeError(f"Sell quantity {qty} for {sym} below minimum {min_amt}")
|
||||
est_cost = qty * bid
|
||||
if min_cost and est_cost < float(min_cost):
|
||||
raise RuntimeError(f"Sell cost ${est_cost:.4f} for {sym} below minimum ${float(min_cost):.4f}")
|
||||
return sym, qty, bid, est_cost
|
||||
@@ -1,54 +0,0 @@
|
||||
"""Execution state helpers (decision deduplication, executions.json)."""
|
||||
import hashlib
|
||||
|
||||
__all__ = [
|
||||
"default_decision_id",
|
||||
"load_executions",
|
||||
"save_executions",
|
||||
"record_execution_state",
|
||||
"get_execution_state",
|
||||
]
|
||||
|
||||
from ..runtime import get_runtime_paths
|
||||
from .file_utils import load_json_locked, read_modify_write_json, save_json_locked
|
||||
|
||||
|
||||
def _paths():
|
||||
return get_runtime_paths()
|
||||
|
||||
|
||||
def default_decision_id(action: str, argv_tail: list[str]) -> str:
|
||||
from datetime import datetime
|
||||
|
||||
from .trade_common import CST
|
||||
|
||||
now = datetime.now(CST)
|
||||
bucket_min = (now.minute // 15) * 15
|
||||
bucket = now.strftime(f"%Y%m%dT%H{bucket_min:02d}")
|
||||
raw = f"{bucket}|{action}|{'|'.join(argv_tail)}"
|
||||
return hashlib.sha1(raw.encode()).hexdigest()[:16]
|
||||
|
||||
|
||||
def load_executions() -> dict:
|
||||
paths = _paths()
|
||||
data = load_json_locked(paths.executions_file, paths.executions_lock, {"executions": {}})
|
||||
return data.get("executions", {}) # type: ignore[no-any-return]
|
||||
|
||||
|
||||
def save_executions(executions: dict):
|
||||
paths = _paths()
|
||||
save_json_locked(paths.executions_file, paths.executions_lock, {"executions": executions})
|
||||
|
||||
|
||||
def record_execution_state(decision_id: str, payload: dict):
|
||||
paths = _paths()
|
||||
read_modify_write_json(
|
||||
paths.executions_file,
|
||||
paths.executions_lock,
|
||||
{"executions": {}},
|
||||
lambda data: data.setdefault("executions", {}).__setitem__(decision_id, payload) or data,
|
||||
)
|
||||
|
||||
|
||||
def get_execution_state(decision_id: str):
|
||||
return load_executions().get(decision_id)
|
||||
@@ -1,76 +0,0 @@
|
||||
"""File locking and atomic JSON helpers."""
|
||||
import fcntl
|
||||
import json
|
||||
import os
|
||||
|
||||
__all__ = [
|
||||
"locked_file",
|
||||
"atomic_write_json",
|
||||
"load_json_locked",
|
||||
"save_json_locked",
|
||||
"read_modify_write_json",
|
||||
]
|
||||
from contextlib import contextmanager
|
||||
from pathlib import Path
|
||||
|
||||
|
||||
@contextmanager
|
||||
def locked_file(path: Path):
|
||||
path.parent.mkdir(parents=True, exist_ok=True)
|
||||
fd = None
|
||||
try:
|
||||
fd = os.open(path, os.O_RDWR | os.O_CREAT)
|
||||
fcntl.flock(fd, fcntl.LOCK_EX)
|
||||
yield fd
|
||||
finally:
|
||||
if fd is not None:
|
||||
try:
|
||||
os.fsync(fd)
|
||||
except Exception:
|
||||
pass
|
||||
try:
|
||||
fcntl.flock(fd, fcntl.LOCK_UN)
|
||||
except Exception:
|
||||
pass
|
||||
os.close(fd)
|
||||
|
||||
|
||||
def atomic_write_json(path: Path, data: dict):
|
||||
path.parent.mkdir(parents=True, exist_ok=True)
|
||||
tmp = path.with_suffix(path.suffix + ".tmp")
|
||||
tmp.write_text(json.dumps(data, indent=2, ensure_ascii=False), encoding="utf-8")
|
||||
os.replace(tmp, path)
|
||||
|
||||
|
||||
def load_json_locked(path: Path, lock_path: Path, default):
|
||||
with locked_file(lock_path):
|
||||
if not path.exists():
|
||||
return default
|
||||
try:
|
||||
return json.loads(path.read_text(encoding="utf-8"))
|
||||
except Exception:
|
||||
return default
|
||||
|
||||
|
||||
def save_json_locked(path: Path, lock_path: Path, data: dict):
|
||||
with locked_file(lock_path):
|
||||
atomic_write_json(path, data)
|
||||
|
||||
|
||||
def read_modify_write_json(path: Path, lock_path: Path, default, modifier):
|
||||
"""Atomic read-modify-write under a single file lock.
|
||||
|
||||
Loads JSON from *path* (or uses *default* if missing/invalid),
|
||||
calls ``modifier(data)``, then atomically writes the result back.
|
||||
If *modifier* returns None, the mutated *data* is written.
|
||||
"""
|
||||
with locked_file(lock_path):
|
||||
if path.exists():
|
||||
try:
|
||||
data = json.loads(path.read_text(encoding="utf-8"))
|
||||
except Exception:
|
||||
data = default
|
||||
else:
|
||||
data = default
|
||||
result = modifier(data)
|
||||
atomic_write_json(path, result if result is not None else data)
|
||||
@@ -1,133 +0,0 @@
|
||||
"""Market data fetching and metric computation for precheck."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import os
|
||||
|
||||
import ccxt
|
||||
|
||||
from .data_utils import norm_symbol, to_float
|
||||
|
||||
|
||||
def get_exchange():
|
||||
from ..runtime import load_env_file
|
||||
|
||||
load_env_file()
|
||||
api_key = os.getenv("BINANCE_API_KEY")
|
||||
secret = os.getenv("BINANCE_API_SECRET")
|
||||
if not api_key or not secret:
|
||||
raise RuntimeError("Missing BINANCE_API_KEY or BINANCE_API_SECRET in ~/.hermes/.env")
|
||||
ex = ccxt.binance({
|
||||
"apiKey": api_key,
|
||||
"secret": secret,
|
||||
"options": {"defaultType": "spot"},
|
||||
"enableRateLimit": True,
|
||||
})
|
||||
ex.load_markets()
|
||||
return ex
|
||||
|
||||
|
||||
def fetch_ohlcv_batch(ex, symbols: set, timeframe: str, limit: int):
|
||||
results = {}
|
||||
for sym in sorted(symbols):
|
||||
try:
|
||||
ohlcv = ex.fetch_ohlcv(sym, timeframe=timeframe, limit=limit)
|
||||
if ohlcv and len(ohlcv) >= 2:
|
||||
results[sym] = ohlcv
|
||||
except Exception:
|
||||
pass
|
||||
return results
|
||||
|
||||
|
||||
def compute_ohlcv_metrics(ohlcv_1h, ohlcv_4h, current_price, volume_24h=None):
|
||||
metrics = {}
|
||||
if ohlcv_1h and len(ohlcv_1h) >= 2:
|
||||
closes = [c[4] for c in ohlcv_1h]
|
||||
volumes = [c[5] for c in ohlcv_1h]
|
||||
metrics["change_1h_pct"] = round((closes[-1] - closes[-2]) / closes[-2] * 100, 2) if closes[-2] != 0 else None
|
||||
if len(closes) >= 5:
|
||||
metrics["change_4h_pct"] = round((closes[-1] - closes[-5]) / closes[-5] * 100, 2) if closes[-5] != 0 else None
|
||||
recent_vol = sum(volumes[-4:]) / 4 if len(volumes) >= 4 else None
|
||||
metrics["volume_1h_avg"] = round(recent_vol, 2) if recent_vol else None
|
||||
highs = [c[2] for c in ohlcv_1h[-4:]]
|
||||
lows = [c[3] for c in ohlcv_1h[-4:]]
|
||||
metrics["high_4h"] = round(max(highs), 8) if highs else None
|
||||
metrics["low_4h"] = round(min(lows), 8) if lows else None
|
||||
|
||||
if ohlcv_4h and len(ohlcv_4h) >= 2:
|
||||
closes_4h = [c[4] for c in ohlcv_4h]
|
||||
volumes_4h = [c[5] for c in ohlcv_4h]
|
||||
metrics["change_4h_pct_from_4h"] = round((closes_4h[-1] - closes_4h[-2]) / closes_4h[-2] * 100, 2) if closes_4h[-2] != 0 else None
|
||||
recent_vol_4h = sum(volumes_4h[-2:]) / 2 if len(volumes_4h) >= 2 else None
|
||||
metrics["volume_4h_avg"] = round(recent_vol_4h, 2) if recent_vol_4h else None
|
||||
highs_4h = [c[2] for c in ohlcv_4h]
|
||||
lows_4h = [c[3] for c in ohlcv_4h]
|
||||
metrics["high_24h_calc"] = round(max(highs_4h), 8) if highs_4h else None
|
||||
metrics["low_24h_calc"] = round(min(lows_4h), 8) if lows_4h else None
|
||||
if highs_4h and lows_4h:
|
||||
avg_price = sum(closes_4h) / len(closes_4h)
|
||||
metrics["volatility_4h_pct"] = round((max(highs_4h) - min(lows_4h)) / avg_price * 100, 2)
|
||||
|
||||
if current_price:
|
||||
if metrics.get("high_4h"):
|
||||
metrics["distance_from_4h_high_pct"] = round((metrics["high_4h"] - current_price) / metrics["high_4h"] * 100, 2)
|
||||
if metrics.get("low_4h"):
|
||||
metrics["distance_from_4h_low_pct"] = round((current_price - metrics["low_4h"]) / metrics["low_4h"] * 100, 2)
|
||||
if metrics.get("high_24h_calc"):
|
||||
metrics["distance_from_24h_high_pct"] = round((metrics["high_24h_calc"] - current_price) / metrics["high_24h_calc"] * 100, 2)
|
||||
if metrics.get("low_24h_calc"):
|
||||
metrics["distance_from_24h_low_pct"] = round((current_price - metrics["low_24h_calc"]) / metrics["low_24h_calc"] * 100, 2)
|
||||
|
||||
if volume_24h and volume_24h > 0 and metrics.get("volume_1h_avg"):
|
||||
daily_avg_1h = volume_24h / 24
|
||||
metrics["volume_1h_multiple"] = round(metrics["volume_1h_avg"] / daily_avg_1h, 2)
|
||||
if volume_24h and volume_24h > 0 and metrics.get("volume_4h_avg"):
|
||||
daily_avg_4h = volume_24h / 6
|
||||
metrics["volume_4h_multiple"] = round(metrics["volume_4h_avg"] / daily_avg_4h, 2)
|
||||
|
||||
return metrics
|
||||
|
||||
|
||||
def enrich_candidates_and_positions(global_candidates, candidate_layers, positions_view, tickers, ex):
|
||||
symbols = set()
|
||||
for c in global_candidates:
|
||||
symbols.add(c["symbol"])
|
||||
for p in positions_view:
|
||||
sym = p.get("symbol")
|
||||
if sym:
|
||||
sym_ccxt = norm_symbol(sym)
|
||||
symbols.add(sym_ccxt)
|
||||
|
||||
ohlcv_1h = fetch_ohlcv_batch(ex, symbols, "1h", 24)
|
||||
ohlcv_4h = fetch_ohlcv_batch(ex, symbols, "4h", 12)
|
||||
|
||||
def _apply(target_list):
|
||||
for item in target_list:
|
||||
sym = item.get("symbol")
|
||||
if not sym:
|
||||
continue
|
||||
sym_ccxt = norm_symbol(sym)
|
||||
v24h = to_float(tickers.get(sym_ccxt, {}).get("quoteVolume"))
|
||||
metrics = compute_ohlcv_metrics(
|
||||
ohlcv_1h.get(sym_ccxt),
|
||||
ohlcv_4h.get(sym_ccxt),
|
||||
item.get("price") or item.get("last_price"),
|
||||
volume_24h=v24h,
|
||||
)
|
||||
item["metrics"] = metrics
|
||||
|
||||
_apply(global_candidates)
|
||||
for band_list in candidate_layers.values():
|
||||
_apply(band_list)
|
||||
_apply(positions_view)
|
||||
return global_candidates, candidate_layers, positions_view
|
||||
|
||||
|
||||
def regime_from_pct(pct: float | None) -> str:
|
||||
if pct is None:
|
||||
return "unknown"
|
||||
if pct >= 2.0:
|
||||
return "bullish"
|
||||
if pct <= -2.0:
|
||||
return "bearish"
|
||||
return "neutral"
|
||||
143
src/coinhunter/services/market_service.py
Normal file
143
src/coinhunter/services/market_service.py
Normal file
@@ -0,0 +1,143 @@
|
||||
"""Market data services and symbol normalization."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
from dataclasses import asdict, dataclass
|
||||
from typing import Any
|
||||
|
||||
|
||||
def normalize_symbol(symbol: str) -> str:
|
||||
return symbol.upper().replace("/", "").replace("-", "").replace("_", "").strip()
|
||||
|
||||
|
||||
def normalize_symbols(symbols: list[str]) -> list[str]:
|
||||
seen: set[str] = set()
|
||||
normalized: list[str] = []
|
||||
for symbol in symbols:
|
||||
value = normalize_symbol(symbol)
|
||||
if value and value not in seen:
|
||||
normalized.append(value)
|
||||
seen.add(value)
|
||||
return normalized
|
||||
|
||||
|
||||
def base_asset(symbol: str, quote_asset: str) -> str:
|
||||
symbol = normalize_symbol(symbol)
|
||||
return symbol[: -len(quote_asset)] if symbol.endswith(quote_asset) else symbol
|
||||
|
||||
|
||||
@dataclass
|
||||
class TickerView:
|
||||
symbol: str
|
||||
last_price: float
|
||||
price_change_pct: float
|
||||
quote_volume: float
|
||||
|
||||
|
||||
@dataclass
|
||||
class KlineView:
|
||||
symbol: str
|
||||
interval: str
|
||||
open_time: int
|
||||
open: float
|
||||
high: float
|
||||
low: float
|
||||
close: float
|
||||
volume: float
|
||||
close_time: int
|
||||
quote_volume: float
|
||||
|
||||
|
||||
def get_tickers(config: dict[str, Any], symbols: list[str], *, spot_client: Any) -> dict[str, Any]:
|
||||
normalized = normalize_symbols(symbols)
|
||||
rows = []
|
||||
for ticker in spot_client.ticker_24h(normalized):
|
||||
rows.append(
|
||||
asdict(
|
||||
TickerView(
|
||||
symbol=normalize_symbol(ticker["symbol"]),
|
||||
last_price=float(ticker.get("lastPrice") or ticker.get("last_price") or 0.0),
|
||||
price_change_pct=float(ticker.get("priceChangePercent") or ticker.get("price_change_percent") or 0.0),
|
||||
quote_volume=float(ticker.get("quoteVolume") or ticker.get("quote_volume") or 0.0),
|
||||
)
|
||||
)
|
||||
)
|
||||
return {"tickers": rows}
|
||||
|
||||
|
||||
def get_klines(
|
||||
config: dict[str, Any],
|
||||
symbols: list[str],
|
||||
*,
|
||||
interval: str,
|
||||
limit: int,
|
||||
spot_client: Any,
|
||||
) -> dict[str, Any]:
|
||||
normalized = normalize_symbols(symbols)
|
||||
rows = []
|
||||
for symbol in normalized:
|
||||
for item in spot_client.klines(symbol=symbol, interval=interval, limit=limit):
|
||||
rows.append(
|
||||
asdict(
|
||||
KlineView(
|
||||
symbol=symbol,
|
||||
interval=interval,
|
||||
open_time=int(item[0]),
|
||||
open=float(item[1]),
|
||||
high=float(item[2]),
|
||||
low=float(item[3]),
|
||||
close=float(item[4]),
|
||||
volume=float(item[5]),
|
||||
close_time=int(item[6]),
|
||||
quote_volume=float(item[7]),
|
||||
)
|
||||
)
|
||||
)
|
||||
return {"interval": interval, "limit": limit, "klines": rows}
|
||||
|
||||
|
||||
def get_scan_universe(
|
||||
config: dict[str, Any],
|
||||
*,
|
||||
spot_client: Any,
|
||||
symbols: list[str] | None = None,
|
||||
) -> list[dict[str, Any]]:
|
||||
market_config = config.get("market", {})
|
||||
opportunity_config = config.get("opportunity", {})
|
||||
quote = str(market_config.get("default_quote", "USDT")).upper()
|
||||
allowlist = set(normalize_symbols(market_config.get("universe_allowlist", [])))
|
||||
denylist = set(normalize_symbols(market_config.get("universe_denylist", [])))
|
||||
requested = set(normalize_symbols(symbols or []))
|
||||
min_quote_volume = float(opportunity_config.get("min_quote_volume", 0.0))
|
||||
|
||||
exchange_info = spot_client.exchange_info()
|
||||
status_map = {normalize_symbol(item["symbol"]): item.get("status", "") for item in exchange_info.get("symbols", [])}
|
||||
|
||||
rows: list[dict[str, Any]] = []
|
||||
for ticker in spot_client.ticker_24h(list(requested) if requested else None):
|
||||
symbol = normalize_symbol(ticker["symbol"])
|
||||
if not symbol.endswith(quote):
|
||||
continue
|
||||
if allowlist and symbol not in allowlist:
|
||||
continue
|
||||
if symbol in denylist:
|
||||
continue
|
||||
if requested and symbol not in requested:
|
||||
continue
|
||||
if status_map.get(symbol) != "TRADING":
|
||||
continue
|
||||
quote_volume = float(ticker.get("quoteVolume") or 0.0)
|
||||
if quote_volume < min_quote_volume:
|
||||
continue
|
||||
rows.append(
|
||||
{
|
||||
"symbol": symbol,
|
||||
"last_price": float(ticker.get("lastPrice") or 0.0),
|
||||
"price_change_pct": float(ticker.get("priceChangePercent") or 0.0),
|
||||
"quote_volume": quote_volume,
|
||||
"high_price": float(ticker.get("highPrice") or 0.0),
|
||||
"low_price": float(ticker.get("lowPrice") or 0.0),
|
||||
}
|
||||
)
|
||||
rows.sort(key=lambda item: float(item["quote_volume"]), reverse=True)
|
||||
return rows
|
||||
208
src/coinhunter/services/opportunity_service.py
Normal file
208
src/coinhunter/services/opportunity_service.py
Normal file
@@ -0,0 +1,208 @@
|
||||
"""Opportunity analysis services."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
from dataclasses import asdict, dataclass
|
||||
from statistics import mean
|
||||
from typing import Any
|
||||
|
||||
from ..audit import audit_event
|
||||
from .account_service import get_positions
|
||||
from .market_service import base_asset, get_scan_universe, normalize_symbol
|
||||
|
||||
|
||||
@dataclass
|
||||
class OpportunityRecommendation:
|
||||
symbol: str
|
||||
action: str
|
||||
score: float
|
||||
reasons: list[str]
|
||||
metrics: dict[str, float]
|
||||
|
||||
|
||||
def _safe_pct(new: float, old: float) -> float:
|
||||
if old == 0:
|
||||
return 0.0
|
||||
return (new - old) / old
|
||||
|
||||
|
||||
def _score_candidate(closes: list[float], volumes: list[float], ticker: dict[str, Any], weights: dict[str, float], concentration: float) -> tuple[float, dict[str, float]]:
|
||||
if len(closes) < 2 or not volumes:
|
||||
return 0.0, {
|
||||
"trend": 0.0,
|
||||
"momentum": 0.0,
|
||||
"breakout": 0.0,
|
||||
"volume_confirmation": 1.0,
|
||||
"volatility": 0.0,
|
||||
"concentration": round(concentration, 4),
|
||||
}
|
||||
|
||||
current = closes[-1]
|
||||
sma_short = mean(closes[-5:]) if len(closes) >= 5 else current
|
||||
sma_long = mean(closes[-20:]) if len(closes) >= 20 else mean(closes)
|
||||
trend = 1.0 if current >= sma_short >= sma_long else -1.0 if current < sma_short < sma_long else 0.0
|
||||
momentum = (
|
||||
_safe_pct(closes[-1], closes[-2]) * 0.5
|
||||
+ (_safe_pct(closes[-1], closes[-5]) * 0.3 if len(closes) >= 5 else 0.0)
|
||||
+ float(ticker.get("price_change_pct", 0.0)) / 100.0 * 0.2
|
||||
)
|
||||
recent_high = max(closes[-20:]) if len(closes) >= 20 else max(closes)
|
||||
breakout = 1.0 - max((recent_high - current) / recent_high, 0.0)
|
||||
avg_volume = mean(volumes[:-1]) if len(volumes) > 1 else volumes[-1]
|
||||
volume_confirmation = volumes[-1] / avg_volume if avg_volume else 1.0
|
||||
volume_score = min(max(volume_confirmation - 1.0, -1.0), 2.0)
|
||||
volatility = (max(closes[-10:]) - min(closes[-10:])) / current if len(closes) >= 10 and current else 0.0
|
||||
|
||||
score = (
|
||||
weights.get("trend", 1.0) * trend
|
||||
+ weights.get("momentum", 1.0) * momentum
|
||||
+ weights.get("breakout", 0.8) * breakout
|
||||
+ weights.get("volume", 0.7) * volume_score
|
||||
- weights.get("volatility_penalty", 0.5) * volatility
|
||||
- weights.get("position_concentration_penalty", 0.6) * concentration
|
||||
)
|
||||
metrics = {
|
||||
"trend": round(trend, 4),
|
||||
"momentum": round(momentum, 4),
|
||||
"breakout": round(breakout, 4),
|
||||
"volume_confirmation": round(volume_confirmation, 4),
|
||||
"volatility": round(volatility, 4),
|
||||
"concentration": round(concentration, 4),
|
||||
}
|
||||
return score, metrics
|
||||
|
||||
|
||||
def _action_for(score: float, concentration: float) -> tuple[str, list[str]]:
|
||||
reasons: list[str] = []
|
||||
if concentration >= 0.5 and score < 0.4:
|
||||
reasons.append("position concentration is high")
|
||||
return "trim", reasons
|
||||
if score >= 1.5:
|
||||
reasons.append("trend, momentum, and breakout are aligned")
|
||||
return "add", reasons
|
||||
if score >= 0.6:
|
||||
reasons.append("trend remains constructive")
|
||||
return "hold", reasons
|
||||
if score <= -0.2:
|
||||
reasons.append("momentum and structure have weakened")
|
||||
return "exit", reasons
|
||||
reasons.append("signal is mixed and needs confirmation")
|
||||
return "observe", reasons
|
||||
|
||||
|
||||
def analyze_portfolio(config: dict[str, Any], *, spot_client: Any) -> dict[str, Any]:
|
||||
quote = str(config.get("market", {}).get("default_quote", "USDT")).upper()
|
||||
weights = config.get("opportunity", {}).get("weights", {})
|
||||
positions = get_positions(config, include_spot=True, include_futures=False, spot_client=spot_client)["positions"]
|
||||
positions = [item for item in positions if item["market_type"] == "spot" and item["symbol"] != quote]
|
||||
total_notional = sum(item["notional_usdt"] for item in positions) or 1.0
|
||||
recommendations = []
|
||||
for position in positions:
|
||||
symbol = normalize_symbol(position["symbol"])
|
||||
klines = spot_client.klines(symbol=symbol, interval="1h", limit=24)
|
||||
closes = [float(item[4]) for item in klines]
|
||||
volumes = [float(item[5]) for item in klines]
|
||||
tickers = spot_client.ticker_24h([symbol])
|
||||
ticker = tickers[0] if tickers else {"priceChangePercent": "0"}
|
||||
concentration = position["notional_usdt"] / total_notional
|
||||
score, metrics = _score_candidate(
|
||||
closes,
|
||||
volumes,
|
||||
{
|
||||
"price_change_pct": float(ticker.get("priceChangePercent") or 0.0),
|
||||
},
|
||||
weights,
|
||||
concentration,
|
||||
)
|
||||
action, reasons = _action_for(score, concentration)
|
||||
recommendations.append(
|
||||
asdict(
|
||||
OpportunityRecommendation(
|
||||
symbol=symbol,
|
||||
action=action,
|
||||
score=round(score, 4),
|
||||
reasons=reasons,
|
||||
metrics=metrics,
|
||||
)
|
||||
)
|
||||
)
|
||||
payload = {"recommendations": sorted(recommendations, key=lambda item: item["score"], reverse=True)}
|
||||
audit_event(
|
||||
"opportunity_portfolio_generated",
|
||||
{
|
||||
"market_type": "spot",
|
||||
"symbol": None,
|
||||
"side": None,
|
||||
"qty": None,
|
||||
"quote_amount": None,
|
||||
"order_type": None,
|
||||
"dry_run": True,
|
||||
"request_payload": {"mode": "portfolio"},
|
||||
"response_payload": payload,
|
||||
"status": "generated",
|
||||
"error": None,
|
||||
},
|
||||
)
|
||||
return payload
|
||||
|
||||
|
||||
def scan_opportunities(
|
||||
config: dict[str, Any],
|
||||
*,
|
||||
spot_client: Any,
|
||||
symbols: list[str] | None = None,
|
||||
) -> dict[str, Any]:
|
||||
opportunity_config = config.get("opportunity", {})
|
||||
weights = opportunity_config.get("weights", {})
|
||||
scan_limit = int(opportunity_config.get("scan_limit", 50))
|
||||
top_n = int(opportunity_config.get("top_n", 10))
|
||||
quote = str(config.get("market", {}).get("default_quote", "USDT")).upper()
|
||||
held_positions = get_positions(config, include_spot=True, include_futures=False, spot_client=spot_client)["positions"]
|
||||
concentration_map = {
|
||||
normalize_symbol(item["symbol"]): float(item["notional_usdt"])
|
||||
for item in held_positions
|
||||
if item["market_type"] == "spot"
|
||||
}
|
||||
total_held = sum(concentration_map.values()) or 1.0
|
||||
|
||||
universe = get_scan_universe(config, spot_client=spot_client, symbols=symbols)[:scan_limit]
|
||||
recommendations = []
|
||||
for ticker in universe:
|
||||
symbol = normalize_symbol(ticker["symbol"])
|
||||
klines = spot_client.klines(symbol=symbol, interval="1h", limit=24)
|
||||
closes = [float(item[4]) for item in klines]
|
||||
volumes = [float(item[5]) for item in klines]
|
||||
concentration = concentration_map.get(symbol, 0.0) / total_held
|
||||
score, metrics = _score_candidate(closes, volumes, ticker, weights, concentration)
|
||||
action, reasons = _action_for(score, concentration)
|
||||
if symbol.endswith(quote):
|
||||
reasons.append(f"base asset {base_asset(symbol, quote)} passed liquidity and tradability filters")
|
||||
recommendations.append(
|
||||
asdict(
|
||||
OpportunityRecommendation(
|
||||
symbol=symbol,
|
||||
action=action,
|
||||
score=round(score, 4),
|
||||
reasons=reasons,
|
||||
metrics=metrics,
|
||||
)
|
||||
)
|
||||
)
|
||||
payload = {"recommendations": sorted(recommendations, key=lambda item: item["score"], reverse=True)[:top_n]}
|
||||
audit_event(
|
||||
"opportunity_scan_generated",
|
||||
{
|
||||
"market_type": "spot",
|
||||
"symbol": None,
|
||||
"side": None,
|
||||
"qty": None,
|
||||
"quote_amount": None,
|
||||
"order_type": None,
|
||||
"dry_run": True,
|
||||
"request_payload": {"mode": "scan", "symbols": [normalize_symbol(item) for item in symbols or []]},
|
||||
"response_payload": payload,
|
||||
"status": "generated",
|
||||
"error": None,
|
||||
},
|
||||
)
|
||||
return payload
|
||||
@@ -1,96 +0,0 @@
|
||||
"""Portfolio state helpers (positions.json, reconcile with exchange)."""
|
||||
from ..runtime import get_runtime_paths
|
||||
|
||||
__all__ = [
|
||||
"load_positions",
|
||||
"save_positions",
|
||||
"update_positions",
|
||||
"upsert_position",
|
||||
"reconcile_positions_with_exchange",
|
||||
]
|
||||
from .file_utils import load_json_locked, read_modify_write_json, save_json_locked
|
||||
from .trade_common import bj_now_iso
|
||||
|
||||
|
||||
def _paths():
|
||||
return get_runtime_paths()
|
||||
|
||||
|
||||
def load_positions() -> list:
|
||||
paths = _paths()
|
||||
data = load_json_locked(paths.positions_file, paths.positions_lock, {"positions": []})
|
||||
return data.get("positions", []) # type: ignore[no-any-return]
|
||||
|
||||
|
||||
def save_positions(positions: list):
|
||||
paths = _paths()
|
||||
save_json_locked(paths.positions_file, paths.positions_lock, {"positions": positions})
|
||||
|
||||
|
||||
def update_positions(modifier):
|
||||
"""Atomic read-modify-write for positions under a single lock.
|
||||
|
||||
*modifier* receives the current positions list and may mutate it in-place
|
||||
or return a new list. If it returns None, the mutated list is saved.
|
||||
"""
|
||||
paths = _paths()
|
||||
|
||||
def _modify(data):
|
||||
positions = data.get("positions", [])
|
||||
result = modifier(positions)
|
||||
data["positions"] = result if result is not None else positions
|
||||
return data
|
||||
|
||||
read_modify_write_json(paths.positions_file, paths.positions_lock, {"positions": []}, _modify)
|
||||
|
||||
|
||||
def upsert_position(positions: list, position: dict):
|
||||
sym = position["symbol"]
|
||||
for i, existing in enumerate(positions):
|
||||
if existing.get("symbol") == sym:
|
||||
positions[i] = position
|
||||
return positions
|
||||
positions.append(position)
|
||||
return positions
|
||||
|
||||
|
||||
def reconcile_positions_with_exchange(ex, positions_hint: list | None = None):
|
||||
from .exchange_service import fetch_balances
|
||||
|
||||
balances = fetch_balances(ex)
|
||||
reconciled = []
|
||||
|
||||
def _modify(data):
|
||||
nonlocal reconciled
|
||||
existing = data.get("positions", [])
|
||||
existing_by_symbol = {p.get("symbol"): p for p in existing}
|
||||
if positions_hint is not None:
|
||||
existing_by_symbol.update({p.get("symbol"): p for p in positions_hint})
|
||||
reconciled = []
|
||||
for asset, qty in balances.items():
|
||||
if asset == "USDT":
|
||||
continue
|
||||
if qty <= 0:
|
||||
continue
|
||||
sym = f"{asset}USDT"
|
||||
old = existing_by_symbol.get(sym, {})
|
||||
reconciled.append(
|
||||
{
|
||||
"account_id": old.get("account_id", "binance-main"),
|
||||
"symbol": sym,
|
||||
"base_asset": asset,
|
||||
"quote_asset": "USDT",
|
||||
"market_type": "spot",
|
||||
"quantity": qty,
|
||||
"avg_cost": old.get("avg_cost"),
|
||||
"opened_at": old.get("opened_at", bj_now_iso()),
|
||||
"updated_at": bj_now_iso(),
|
||||
"note": old.get("note", "Reconciled from Binance balances"),
|
||||
}
|
||||
)
|
||||
data["positions"] = reconciled
|
||||
return data
|
||||
|
||||
paths = _paths()
|
||||
read_modify_write_json(paths.positions_file, paths.positions_lock, {"positions": []}, _modify)
|
||||
return reconciled, balances
|
||||
@@ -1,21 +0,0 @@
|
||||
"""Analysis helpers for precheck."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
from .time_utils import utc_iso
|
||||
|
||||
|
||||
def build_failure_payload(exc: Exception) -> dict:
|
||||
return {
|
||||
"generated_at": utc_iso(),
|
||||
"status": "deep_analysis_required",
|
||||
"should_analyze": True,
|
||||
"pending_trigger": True,
|
||||
"cooldown_active": False,
|
||||
"reasons": ["precheck-error"],
|
||||
"hard_reasons": ["precheck-error"],
|
||||
"soft_reasons": [],
|
||||
"soft_score": 0,
|
||||
"details": [str(exc)],
|
||||
"compact_summary": f"Precheck failed, falling back to deep analysis: {exc}",
|
||||
}
|
||||
@@ -1,25 +0,0 @@
|
||||
"""Precheck constants and thresholds."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
from ..runtime import get_user_config
|
||||
|
||||
_BASE = "precheck"
|
||||
|
||||
BASE_PRICE_MOVE_TRIGGER_PCT = get_user_config(f"{_BASE}.base_price_move_trigger_pct", 0.025)
|
||||
BASE_PNL_TRIGGER_PCT = get_user_config(f"{_BASE}.base_pnl_trigger_pct", 0.03)
|
||||
BASE_PORTFOLIO_MOVE_TRIGGER_PCT = get_user_config(f"{_BASE}.base_portfolio_move_trigger_pct", 0.03)
|
||||
BASE_CANDIDATE_SCORE_TRIGGER_RATIO = get_user_config(f"{_BASE}.base_candidate_score_trigger_ratio", 1.15)
|
||||
BASE_FORCE_ANALYSIS_AFTER_MINUTES = get_user_config(f"{_BASE}.base_force_analysis_after_minutes", 180)
|
||||
BASE_COOLDOWN_MINUTES = get_user_config(f"{_BASE}.base_cooldown_minutes", 45)
|
||||
TOP_CANDIDATES = get_user_config(f"{_BASE}.top_candidates", 10)
|
||||
MIN_ACTIONABLE_USDT = get_user_config(f"{_BASE}.min_actionable_usdt", 12.0)
|
||||
MIN_REAL_POSITION_VALUE_USDT = get_user_config(f"{_BASE}.min_real_position_value_usdt", 8.0)
|
||||
BLACKLIST = set(get_user_config(f"{_BASE}.blacklist", ["USDC", "BUSD", "TUSD", "FDUSD", "USTC", "PAXG"]))
|
||||
HARD_STOP_PCT = get_user_config(f"{_BASE}.hard_stop_pct", -0.08)
|
||||
HARD_MOON_PCT = get_user_config(f"{_BASE}.hard_moon_pct", 0.25)
|
||||
MIN_CHANGE_PCT = get_user_config(f"{_BASE}.min_change_pct", 1.0)
|
||||
MAX_PRICE_CAP = get_user_config(f"{_BASE}.max_price_cap", None)
|
||||
HARD_REASON_DEDUP_MINUTES = get_user_config(f"{_BASE}.hard_reason_dedup_minutes", 15)
|
||||
MAX_PENDING_TRIGGER_MINUTES = get_user_config(f"{_BASE}.max_pending_trigger_minutes", 30)
|
||||
MAX_RUN_REQUEST_MINUTES = get_user_config(f"{_BASE}.max_run_request_minutes", 20)
|
||||
@@ -1,107 +0,0 @@
|
||||
"""Backward-compatible facade for precheck internals.
|
||||
|
||||
The reusable implementation has been split into smaller modules:
|
||||
- precheck_constants : paths and thresholds
|
||||
- time_utils : UTC/local time helpers
|
||||
- data_utils : json, hash, float, symbol normalization
|
||||
- state_manager : load/save/sanitize state
|
||||
- market_data : exchange, ohlcv, metrics
|
||||
- candidate_scoring : top candidate selection
|
||||
- snapshot_builder : build_snapshot
|
||||
- adaptive_profile : trigger profile builder
|
||||
- trigger_analyzer : analyze_trigger
|
||||
|
||||
Keep this module importable so older entrypoints continue to work.
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
from importlib import import_module
|
||||
|
||||
from ..runtime import get_runtime_paths
|
||||
|
||||
_PATH_ALIASES = {
|
||||
"PATHS": lambda: get_runtime_paths(),
|
||||
"BASE_DIR": lambda: get_runtime_paths().root,
|
||||
"STATE_DIR": lambda: get_runtime_paths().state_dir,
|
||||
"STATE_FILE": lambda: get_runtime_paths().precheck_state_file,
|
||||
"POSITIONS_FILE": lambda: get_runtime_paths().positions_file,
|
||||
"CONFIG_FILE": lambda: get_runtime_paths().config_file,
|
||||
"ENV_FILE": lambda: get_runtime_paths().env_file,
|
||||
}
|
||||
|
||||
_MODULE_MAP = {
|
||||
"BASE_PRICE_MOVE_TRIGGER_PCT": ".precheck_constants",
|
||||
"BASE_PNL_TRIGGER_PCT": ".precheck_constants",
|
||||
"BASE_PORTFOLIO_MOVE_TRIGGER_PCT": ".precheck_constants",
|
||||
"BASE_CANDIDATE_SCORE_TRIGGER_RATIO": ".precheck_constants",
|
||||
"BASE_FORCE_ANALYSIS_AFTER_MINUTES": ".precheck_constants",
|
||||
"BASE_COOLDOWN_MINUTES": ".precheck_constants",
|
||||
"TOP_CANDIDATES": ".precheck_constants",
|
||||
"MIN_ACTIONABLE_USDT": ".precheck_constants",
|
||||
"MIN_REAL_POSITION_VALUE_USDT": ".precheck_constants",
|
||||
"BLACKLIST": ".precheck_constants",
|
||||
"HARD_STOP_PCT": ".precheck_constants",
|
||||
"HARD_MOON_PCT": ".precheck_constants",
|
||||
"MIN_CHANGE_PCT": ".precheck_constants",
|
||||
"MAX_PRICE_CAP": ".precheck_constants",
|
||||
"HARD_REASON_DEDUP_MINUTES": ".precheck_constants",
|
||||
"MAX_PENDING_TRIGGER_MINUTES": ".precheck_constants",
|
||||
"MAX_RUN_REQUEST_MINUTES": ".precheck_constants",
|
||||
"utc_now": ".time_utils",
|
||||
"utc_iso": ".time_utils",
|
||||
"parse_ts": ".time_utils",
|
||||
"get_local_now": ".time_utils",
|
||||
"session_label": ".time_utils",
|
||||
"load_json": ".data_utils",
|
||||
"stable_hash": ".data_utils",
|
||||
"to_float": ".data_utils",
|
||||
"norm_symbol": ".data_utils",
|
||||
"load_env": ".state_manager",
|
||||
"load_positions": ".state_manager",
|
||||
"load_state": ".state_manager",
|
||||
"load_config": ".state_manager",
|
||||
"clear_run_request_fields": ".state_manager",
|
||||
"sanitize_state_for_stale_triggers": ".state_manager",
|
||||
"save_state": ".state_manager",
|
||||
"update_state_after_observation": ".state_manager",
|
||||
"get_exchange": ".market_data",
|
||||
"fetch_ohlcv_batch": ".market_data",
|
||||
"compute_ohlcv_metrics": ".market_data",
|
||||
"enrich_candidates_and_positions": ".market_data",
|
||||
"regime_from_pct": ".market_data",
|
||||
"_liquidity_score": ".candidate_scoring",
|
||||
"_breakout_score": ".candidate_scoring",
|
||||
"top_candidates_from_tickers": ".candidate_scoring",
|
||||
"build_snapshot": ".snapshot_builder",
|
||||
"build_adaptive_profile": ".adaptive_profile",
|
||||
"_candidate_weight": ".adaptive_profile",
|
||||
"analyze_trigger": ".trigger_analyzer",
|
||||
}
|
||||
|
||||
__all__ = sorted(set(_MODULE_MAP) | set(_PATH_ALIASES) | {"main"})
|
||||
|
||||
|
||||
def __getattr__(name: str):
|
||||
if name in _PATH_ALIASES:
|
||||
return _PATH_ALIASES[name]()
|
||||
if name not in _MODULE_MAP:
|
||||
raise AttributeError(f"module {__name__!r} has no attribute {name!r}")
|
||||
module_name = _MODULE_MAP[name]
|
||||
module = import_module(module_name, __package__)
|
||||
return getattr(module, name)
|
||||
|
||||
|
||||
def __dir__():
|
||||
return sorted(set(globals()) | set(__all__))
|
||||
|
||||
|
||||
def main():
|
||||
import sys
|
||||
|
||||
from .precheck_service import run as _run_service
|
||||
return _run_service(sys.argv[1:])
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
raise SystemExit(main())
|
||||
@@ -1,44 +0,0 @@
|
||||
"""Service entrypoint for precheck workflows."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import json
|
||||
|
||||
__all__ = ["run"]
|
||||
import sys
|
||||
|
||||
from . import precheck_analysis, precheck_snapshot, precheck_state
|
||||
|
||||
|
||||
def run(argv: list[str] | None = None) -> int:
|
||||
argv = list(sys.argv[1:] if argv is None else argv)
|
||||
|
||||
if argv and argv[0] == "--ack":
|
||||
precheck_state.ack_analysis(" ".join(argv[1:]).strip())
|
||||
return 0
|
||||
if argv and argv[0] == "--mark-run-requested":
|
||||
precheck_state.mark_run_requested(" ".join(argv[1:]).strip())
|
||||
return 0
|
||||
|
||||
try:
|
||||
captured = {}
|
||||
|
||||
def _modifier(state):
|
||||
state = precheck_state.sanitize_state_for_stale_triggers(state)
|
||||
snapshot = precheck_snapshot.build_snapshot()
|
||||
analysis = precheck_analysis.analyze_trigger(snapshot, state)
|
||||
new_state = precheck_state.update_state_after_observation(state, snapshot, analysis)
|
||||
state.clear()
|
||||
state.update(new_state)
|
||||
captured["analysis"] = analysis
|
||||
return state
|
||||
|
||||
precheck_state.modify_state(_modifier)
|
||||
result = {"ok": True, **captured["analysis"]}
|
||||
print(json.dumps(result, ensure_ascii=False, indent=2))
|
||||
return 0
|
||||
except Exception as exc:
|
||||
payload = precheck_analysis.build_failure_payload(exc)
|
||||
result = {"ok": False, **payload}
|
||||
print(json.dumps(result, ensure_ascii=False, indent=2))
|
||||
return 1
|
||||
@@ -1,4 +0,0 @@
|
||||
"""Snapshot construction helpers for precheck."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
@@ -1,41 +0,0 @@
|
||||
"""State helpers for precheck orchestration."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import json
|
||||
|
||||
from .state_manager import (
|
||||
load_state,
|
||||
modify_state,
|
||||
)
|
||||
from .time_utils import utc_iso
|
||||
|
||||
|
||||
def mark_run_requested(note: str = "") -> dict:
|
||||
def _modifier(state):
|
||||
state["run_requested_at"] = utc_iso()
|
||||
state["run_request_note"] = note
|
||||
return state
|
||||
|
||||
modify_state(_modifier)
|
||||
state = load_state()
|
||||
payload = {"ok": True, "run_requested_at": state["run_requested_at"], "note": note}
|
||||
print(json.dumps(payload, ensure_ascii=False))
|
||||
return payload
|
||||
|
||||
|
||||
def ack_analysis(note: str = "") -> dict:
|
||||
def _modifier(state):
|
||||
state["last_deep_analysis_at"] = utc_iso()
|
||||
state["pending_trigger"] = False
|
||||
state["pending_reasons"] = []
|
||||
state["last_ack_note"] = note
|
||||
state.pop("run_requested_at", None)
|
||||
state.pop("run_request_note", None)
|
||||
return state
|
||||
|
||||
modify_state(_modifier)
|
||||
state = load_state()
|
||||
payload = {"ok": True, "acked_at": state["last_deep_analysis_at"], "note": note}
|
||||
print(json.dumps(payload, ensure_ascii=False))
|
||||
return payload
|
||||
@@ -1,292 +0,0 @@
|
||||
"""Review generation service for CoinHunter."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import json
|
||||
|
||||
__all__ = [
|
||||
"ensure_review_dir",
|
||||
"norm_symbol",
|
||||
"fetch_current_price",
|
||||
"analyze_trade",
|
||||
"analyze_hold_passes",
|
||||
"analyze_cash_misses",
|
||||
"generate_review",
|
||||
"save_review",
|
||||
"print_review",
|
||||
]
|
||||
from datetime import datetime, timedelta, timezone
|
||||
from pathlib import Path
|
||||
|
||||
from ..logger import get_logs_last_n_hours
|
||||
from ..runtime import get_runtime_paths
|
||||
from .exchange_service import get_exchange
|
||||
|
||||
CST = timezone(timedelta(hours=8))
|
||||
|
||||
|
||||
def _paths():
|
||||
return get_runtime_paths()
|
||||
|
||||
|
||||
def _review_dir() -> Path:
|
||||
return _paths().reviews_dir # type: ignore[no-any-return]
|
||||
|
||||
|
||||
def _exchange():
|
||||
return get_exchange()
|
||||
|
||||
|
||||
def ensure_review_dir():
|
||||
_review_dir().mkdir(parents=True, exist_ok=True)
|
||||
|
||||
|
||||
def norm_symbol(symbol: str) -> str:
|
||||
s = symbol.upper().replace("-", "").replace("_", "")
|
||||
if "/" in s:
|
||||
return s
|
||||
if s.endswith("USDT"):
|
||||
return s[:-4] + "/USDT"
|
||||
return s
|
||||
|
||||
|
||||
def fetch_current_price(ex, symbol: str):
|
||||
try:
|
||||
return float(ex.fetch_ticker(norm_symbol(symbol))["last"])
|
||||
except Exception:
|
||||
return None
|
||||
|
||||
|
||||
def analyze_trade(trade: dict, ex) -> dict:
|
||||
symbol = trade.get("symbol")
|
||||
price = trade.get("price")
|
||||
action = trade.get("action", "")
|
||||
current_price = fetch_current_price(ex, symbol) if symbol else None
|
||||
pnl_estimate = None
|
||||
outcome = "neutral"
|
||||
if price and current_price and symbol:
|
||||
change_pct = (current_price - float(price)) / float(price) * 100
|
||||
if action == "BUY":
|
||||
pnl_estimate = round(change_pct, 2)
|
||||
outcome = "good" if change_pct > 2 else "bad" if change_pct < -2 else "neutral"
|
||||
elif action == "SELL_ALL":
|
||||
pnl_estimate = round(-change_pct, 2)
|
||||
outcome = "good" if change_pct < -2 else "missed" if change_pct > 2 else "neutral"
|
||||
return {
|
||||
"timestamp": trade.get("timestamp"),
|
||||
"symbol": symbol,
|
||||
"action": action,
|
||||
"decision_id": trade.get("decision_id"),
|
||||
"execution_price": price,
|
||||
"current_price": current_price,
|
||||
"pnl_estimate_pct": pnl_estimate,
|
||||
"outcome_assessment": outcome,
|
||||
}
|
||||
|
||||
|
||||
def analyze_hold_passes(decisions: list, ex) -> list:
|
||||
misses = []
|
||||
for d in decisions:
|
||||
if d.get("decision") != "HOLD":
|
||||
continue
|
||||
analysis = d.get("analysis")
|
||||
if not isinstance(analysis, dict):
|
||||
continue
|
||||
opportunities = analysis.get("opportunities_evaluated", [])
|
||||
market_snapshot = d.get("market_snapshot", {})
|
||||
if not opportunities or not market_snapshot:
|
||||
continue
|
||||
for op in opportunities:
|
||||
verdict = op.get("verdict", "")
|
||||
if "PASS" not in verdict and "pass" not in verdict:
|
||||
continue
|
||||
symbol = op.get("symbol", "")
|
||||
snap = market_snapshot.get(symbol) or market_snapshot.get(symbol.replace("/", ""))
|
||||
if not snap:
|
||||
continue
|
||||
decision_price = None
|
||||
if isinstance(snap, dict):
|
||||
decision_price = float(snap.get("lastPrice", 0)) or float(snap.get("last", 0))
|
||||
elif isinstance(snap, (int, float, str)):
|
||||
decision_price = float(snap)
|
||||
if not decision_price:
|
||||
continue
|
||||
current_price = fetch_current_price(ex, symbol)
|
||||
if not current_price:
|
||||
continue
|
||||
change_pct = (current_price - decision_price) / decision_price * 100
|
||||
if change_pct > 3:
|
||||
misses.append({
|
||||
"timestamp": d.get("timestamp"),
|
||||
"symbol": symbol,
|
||||
"decision_price": round(decision_price, 8),
|
||||
"current_price": round(current_price, 8),
|
||||
"change_pct": round(change_pct, 2),
|
||||
"verdict_snippet": verdict[:80],
|
||||
})
|
||||
return misses
|
||||
|
||||
|
||||
def analyze_cash_misses(decisions: list, ex) -> list:
|
||||
misses = []
|
||||
watchlist = set()
|
||||
for d in decisions:
|
||||
snap = d.get("market_snapshot", {})
|
||||
if isinstance(snap, dict):
|
||||
for k in snap.keys():
|
||||
if k.endswith("USDT"):
|
||||
watchlist.add(k)
|
||||
for d in decisions:
|
||||
ts = d.get("timestamp")
|
||||
balances = d.get("balances") or d.get("balances_before", {})
|
||||
if not balances:
|
||||
continue
|
||||
total = sum(float(v) if isinstance(v, (int, float, str)) else 0 for v in balances.values())
|
||||
usdt = float(balances.get("USDT", 0))
|
||||
if total == 0 or (usdt / total) < 0.9:
|
||||
continue
|
||||
snap = d.get("market_snapshot", {})
|
||||
if not isinstance(snap, dict):
|
||||
continue
|
||||
for symbol, data in snap.items():
|
||||
if not symbol.endswith("USDT"):
|
||||
continue
|
||||
decision_price = None
|
||||
if isinstance(data, dict):
|
||||
decision_price = float(data.get("lastPrice", 0)) or float(data.get("last", 0))
|
||||
elif isinstance(data, (int, float, str)):
|
||||
decision_price = float(data)
|
||||
if not decision_price:
|
||||
continue
|
||||
current_price = fetch_current_price(ex, symbol)
|
||||
if not current_price:
|
||||
continue
|
||||
change_pct = (current_price - decision_price) / decision_price * 100
|
||||
if change_pct > 5:
|
||||
misses.append({
|
||||
"timestamp": ts,
|
||||
"symbol": symbol,
|
||||
"decision_price": round(decision_price, 8),
|
||||
"current_price": round(current_price, 8),
|
||||
"change_pct": round(change_pct, 2),
|
||||
})
|
||||
seen: dict[str, dict] = {}
|
||||
for m in misses:
|
||||
sym = m["symbol"]
|
||||
if sym not in seen or m["change_pct"] > seen[sym]["change_pct"]:
|
||||
seen[sym] = m
|
||||
return list(seen.values())
|
||||
|
||||
|
||||
def generate_review(hours: int = 1) -> dict:
|
||||
decisions = get_logs_last_n_hours("decisions", hours)
|
||||
trades = get_logs_last_n_hours("trades", hours)
|
||||
errors = get_logs_last_n_hours("errors", hours)
|
||||
|
||||
review: dict = {
|
||||
"review_period_hours": hours,
|
||||
"review_timestamp": datetime.now(CST).isoformat(),
|
||||
"total_decisions": len(decisions),
|
||||
"total_trades": len(trades),
|
||||
"total_errors": len(errors),
|
||||
"decision_quality": [],
|
||||
"stats": {},
|
||||
"insights": [],
|
||||
"recommendations": [],
|
||||
}
|
||||
|
||||
if not decisions and not trades:
|
||||
review["insights"].append("No decisions or trades in this period")
|
||||
return review
|
||||
|
||||
ex = get_exchange()
|
||||
outcomes = {"good": 0, "neutral": 0, "bad": 0, "missed": 0}
|
||||
pnl_samples = []
|
||||
|
||||
for trade in trades:
|
||||
analysis = analyze_trade(trade, ex)
|
||||
review["decision_quality"].append(analysis)
|
||||
outcomes[analysis["outcome_assessment"]] += 1
|
||||
if analysis["pnl_estimate_pct"] is not None:
|
||||
pnl_samples.append(analysis["pnl_estimate_pct"])
|
||||
|
||||
hold_pass_misses = analyze_hold_passes(decisions, ex)
|
||||
cash_misses = analyze_cash_misses(decisions, ex)
|
||||
total_missed = outcomes["missed"] + len(hold_pass_misses) + len(cash_misses)
|
||||
|
||||
review["stats"] = {
|
||||
"good_decisions": outcomes["good"],
|
||||
"neutral_decisions": outcomes["neutral"],
|
||||
"bad_decisions": outcomes["bad"],
|
||||
"missed_opportunities": total_missed,
|
||||
"missed_sell_all": outcomes["missed"],
|
||||
"missed_hold_passes": len(hold_pass_misses),
|
||||
"missed_cash_sits": len(cash_misses),
|
||||
"avg_estimated_edge_pct": round(sum(pnl_samples) / len(pnl_samples), 2) if pnl_samples else None,
|
||||
}
|
||||
|
||||
if errors:
|
||||
review["insights"].append(f"{len(errors)} execution/system errors this period; robustness needs attention")
|
||||
if outcomes["bad"] > outcomes["good"]:
|
||||
review["insights"].append("Recent trade quality is weak; consider lowering frequency or raising entry threshold")
|
||||
if total_missed > 0:
|
||||
parts = []
|
||||
if outcomes["missed"]:
|
||||
parts.append(f"sold then rallied {outcomes['missed']} times")
|
||||
if hold_pass_misses:
|
||||
parts.append(f"missed after PASS {len(hold_pass_misses)} times")
|
||||
if cash_misses:
|
||||
parts.append(f"missed while sitting in cash {len(cash_misses)} times")
|
||||
review["insights"].append("Opportunities missed: " + ", ".join(parts) + "; consider relaxing trend-following or entry conditions")
|
||||
if outcomes["good"] >= max(1, outcomes["bad"] + total_missed):
|
||||
review["insights"].append("Recent decisions are generally acceptable")
|
||||
if not trades and decisions:
|
||||
review["insights"].append("Decisions without trades; may be due to waiting on sidelines, minimum notional limits, or execution interception")
|
||||
if len(trades) < len(decisions) * 0.1 and decisions:
|
||||
review["insights"].append("Many decisions did not convert to trades; check if minimum notional/step-size/fee buffer thresholds are too high")
|
||||
if hold_pass_misses:
|
||||
for m in hold_pass_misses[:3]:
|
||||
review["insights"].append(f"PASS'd {m['symbol']} during HOLD, then it rose {m['change_pct']}%")
|
||||
if cash_misses:
|
||||
for m in cash_misses[:3]:
|
||||
review["insights"].append(f"{m['symbol']} rose {m['change_pct']}% while portfolio was mostly USDT")
|
||||
|
||||
review["recommendations"] = [
|
||||
"Check whether minimum-notional/precision rejections are blocking small-capital execution",
|
||||
"If estimated edge is negative for two consecutive review periods, reduce rebalancing frequency next hour",
|
||||
"If error logs are increasing, prioritize defensive mode (hold more USDT)",
|
||||
]
|
||||
return review
|
||||
|
||||
|
||||
def save_review(review: dict) -> str:
|
||||
ensure_review_dir()
|
||||
ts = datetime.now(CST).strftime("%Y%m%d_%H%M%S")
|
||||
path = _review_dir() / f"review_{ts}.json"
|
||||
path.write_text(json.dumps(review, indent=2, ensure_ascii=False), encoding="utf-8")
|
||||
return str(path)
|
||||
|
||||
|
||||
def print_review(review: dict):
|
||||
print("=" * 50)
|
||||
print("📊 Coin Hunter Review Report")
|
||||
print(f"Review time: {review['review_timestamp']}")
|
||||
print(f"Period: last {review['review_period_hours']} hours")
|
||||
print(f"Total decisions: {review['total_decisions']} | Total trades: {review['total_trades']} | Total errors: {review['total_errors']}")
|
||||
stats = review.get("stats", {})
|
||||
print("\nDecision quality:")
|
||||
print(f" ✓ Good: {stats.get('good_decisions', 0)}")
|
||||
print(f" ○ Neutral: {stats.get('neutral_decisions', 0)}")
|
||||
print(f" ✗ Bad: {stats.get('bad_decisions', 0)}")
|
||||
print(f" ↗ Missed opportunities: {stats.get('missed_opportunities', 0)}")
|
||||
if stats.get("avg_estimated_edge_pct") is not None:
|
||||
print(f" Avg estimated edge: {stats['avg_estimated_edge_pct']}%")
|
||||
if review.get("insights"):
|
||||
print("\n💡 Insights:")
|
||||
for item in review["insights"]:
|
||||
print(f" • {item}")
|
||||
if review.get("recommendations"):
|
||||
print("\n🔧 Recommendations:")
|
||||
for item in review["recommendations"]:
|
||||
print(f" • {item}")
|
||||
print("=" * 50)
|
||||
@@ -1,249 +0,0 @@
|
||||
"""CLI parser and legacy argument normalization for smart executor."""
|
||||
import argparse
|
||||
|
||||
__all__ = [
|
||||
"COMMAND_CANONICAL",
|
||||
"add_shared_options",
|
||||
"build_parser",
|
||||
"normalize_legacy_argv",
|
||||
"parse_cli_args",
|
||||
"cli_action_args",
|
||||
]
|
||||
|
||||
|
||||
COMMAND_CANONICAL = {
|
||||
"bal": "balances",
|
||||
"balances": "balances",
|
||||
"balance": "balances",
|
||||
"acct": "status",
|
||||
"overview": "status",
|
||||
"status": "status",
|
||||
"hold": "hold",
|
||||
"buy": "buy",
|
||||
"flat": "sell-all",
|
||||
"sell-all": "sell-all",
|
||||
"sell_all": "sell-all",
|
||||
"rotate": "rebalance",
|
||||
"rebalance": "rebalance",
|
||||
"orders": "orders",
|
||||
"cancel": "cancel",
|
||||
"order-status": "order-status",
|
||||
"order_status": "order-status",
|
||||
}
|
||||
|
||||
|
||||
def add_shared_options(parser: argparse.ArgumentParser) -> None:
|
||||
parser.add_argument("--decision-id", help="Override the decision ID; otherwise one is derived automatically")
|
||||
parser.add_argument("--analysis", help="Persist analysis text with the execution record")
|
||||
parser.add_argument("--reasoning", help="Persist reasoning text with the execution record")
|
||||
parser.add_argument("--dry-run", action="store_true", help="Simulate the command without placing live orders")
|
||||
|
||||
|
||||
def build_parser() -> argparse.ArgumentParser:
|
||||
shared = argparse.ArgumentParser(add_help=False)
|
||||
add_shared_options(shared)
|
||||
parser = argparse.ArgumentParser(
|
||||
prog="coinhunter exec",
|
||||
description="Professional execution console for account inspection and spot trading workflows",
|
||||
formatter_class=argparse.RawTextHelpFormatter,
|
||||
parents=[shared],
|
||||
epilog=(
|
||||
"Preferred verbs:\n"
|
||||
" bal Print live balances as stable JSON\n"
|
||||
" overview Print balances, positions, and market snapshot as stable JSON\n"
|
||||
" hold Record a hold decision without trading\n"
|
||||
" buy SYMBOL USDT Buy a symbol using a USDT notional amount\n"
|
||||
" flat SYMBOL Exit an entire symbol position\n"
|
||||
" rotate FROM TO Rotate exposure from one symbol into another\n"
|
||||
" orders List open spot orders\n"
|
||||
" order-status SYMBOL ORDER_ID Get status of a specific order\n"
|
||||
" cancel SYMBOL [ORDER_ID] Cancel an open order (cancels newest if ORDER_ID omitted)\n\n"
|
||||
"Examples:\n"
|
||||
" coinhunter exec bal\n"
|
||||
" coinhunter exec overview\n"
|
||||
" coinhunter exec hold\n"
|
||||
" coinhunter exec buy ENJUSDT 100\n"
|
||||
" coinhunter exec flat ENJUSDT --dry-run\n"
|
||||
" coinhunter exec rotate PEPEUSDT ETHUSDT\n"
|
||||
" coinhunter exec orders\n"
|
||||
" coinhunter exec order-status ENJUSDT 123456\n"
|
||||
" coinhunter exec cancel ENJUSDT 123456\n\n"
|
||||
"Legacy forms remain supported for backward compatibility:\n"
|
||||
" balances, balance -> bal\n"
|
||||
" acct, status -> overview\n"
|
||||
" sell-all, sell_all -> flat\n"
|
||||
" rebalance -> rotate\n"
|
||||
" order_status -> order-status\n"
|
||||
" HOLD / BUY / SELL_ALL / REBALANCE via --decision are still accepted\n"
|
||||
),
|
||||
)
|
||||
subparsers = parser.add_subparsers(
|
||||
dest="command",
|
||||
metavar="{bal,overview,hold,buy,flat,rotate,orders,order-status,cancel,...}",
|
||||
)
|
||||
|
||||
subparsers.add_parser("bal", parents=[shared], help="Preferred: print live balances as stable JSON")
|
||||
subparsers.add_parser("overview", parents=[shared], help="Preferred: print the account overview as stable JSON")
|
||||
subparsers.add_parser("hold", parents=[shared], help="Preferred: record a hold decision without trading")
|
||||
|
||||
buy = subparsers.add_parser("buy", parents=[shared], help="Preferred: buy a symbol with a USDT notional amount")
|
||||
buy.add_argument("symbol")
|
||||
buy.add_argument("amount_usdt", type=float)
|
||||
|
||||
flat = subparsers.add_parser("flat", parents=[shared], help="Preferred: exit an entire symbol position")
|
||||
flat.add_argument("symbol")
|
||||
|
||||
rebalance = subparsers.add_parser("rotate", parents=[shared], help="Preferred: rotate exposure from one symbol into another")
|
||||
rebalance.add_argument("from_symbol")
|
||||
rebalance.add_argument("to_symbol")
|
||||
|
||||
subparsers.add_parser("orders", parents=[shared], help="List open spot orders")
|
||||
|
||||
order_status = subparsers.add_parser("order-status", parents=[shared], help="Get status of a specific order")
|
||||
order_status.add_argument("symbol")
|
||||
order_status.add_argument("order_id")
|
||||
|
||||
cancel = subparsers.add_parser("cancel", parents=[shared], help="Cancel an open order")
|
||||
cancel.add_argument("symbol")
|
||||
cancel.add_argument("order_id", nargs="?")
|
||||
|
||||
subparsers.add_parser("balances", parents=[shared], help=argparse.SUPPRESS)
|
||||
subparsers.add_parser("balance", parents=[shared], help=argparse.SUPPRESS)
|
||||
subparsers.add_parser("acct", parents=[shared], help=argparse.SUPPRESS)
|
||||
subparsers.add_parser("status", parents=[shared], help=argparse.SUPPRESS)
|
||||
|
||||
sell_all = subparsers.add_parser("sell-all", parents=[shared], help=argparse.SUPPRESS)
|
||||
sell_all.add_argument("symbol")
|
||||
sell_all_legacy = subparsers.add_parser("sell_all", parents=[shared], help=argparse.SUPPRESS)
|
||||
sell_all_legacy.add_argument("symbol")
|
||||
|
||||
rebalance_legacy = subparsers.add_parser("rebalance", parents=[shared], help=argparse.SUPPRESS)
|
||||
rebalance_legacy.add_argument("from_symbol")
|
||||
rebalance_legacy.add_argument("to_symbol")
|
||||
|
||||
order_status_legacy = subparsers.add_parser("order_status", parents=[shared], help=argparse.SUPPRESS)
|
||||
order_status_legacy.add_argument("symbol")
|
||||
order_status_legacy.add_argument("order_id")
|
||||
|
||||
subparsers._choices_actions = [
|
||||
action
|
||||
for action in subparsers._choices_actions
|
||||
if action.help != argparse.SUPPRESS
|
||||
]
|
||||
|
||||
return parser
|
||||
|
||||
|
||||
def normalize_legacy_argv(argv: list[str]) -> list[str]:
|
||||
if not argv:
|
||||
return argv
|
||||
|
||||
action_aliases = {
|
||||
"HOLD": ["hold"],
|
||||
"hold": ["hold"],
|
||||
"bal": ["balances"],
|
||||
"acct": ["status"],
|
||||
"overview": ["status"],
|
||||
"flat": ["sell-all"],
|
||||
"rotate": ["rebalance"],
|
||||
"SELL_ALL": ["sell-all"],
|
||||
"sell_all": ["sell-all"],
|
||||
"sell-all": ["sell-all"],
|
||||
"BUY": ["buy"],
|
||||
"buy": ["buy"],
|
||||
"REBALANCE": ["rebalance"],
|
||||
"rebalance": ["rebalance"],
|
||||
"BALANCE": ["balances"],
|
||||
"balance": ["balances"],
|
||||
"BALANCES": ["balances"],
|
||||
"balances": ["balances"],
|
||||
"STATUS": ["status"],
|
||||
"status": ["status"],
|
||||
"OVERVIEW": ["status"],
|
||||
"ORDERS": ["orders"],
|
||||
"orders": ["orders"],
|
||||
"CANCEL": ["cancel"],
|
||||
"cancel": ["cancel"],
|
||||
"ORDER_STATUS": ["order-status"],
|
||||
"order_status": ["order-status"],
|
||||
"order-status": ["order-status"],
|
||||
}
|
||||
|
||||
has_legacy_flag = any(t.startswith("--decision") for t in argv)
|
||||
if not has_legacy_flag:
|
||||
for idx, token in enumerate(argv):
|
||||
if token in action_aliases:
|
||||
prefix = argv[:idx]
|
||||
suffix = argv[idx + 1 :]
|
||||
return prefix + action_aliases[token] + suffix
|
||||
|
||||
if argv[0].startswith("-"):
|
||||
legacy = argparse.ArgumentParser(add_help=False)
|
||||
legacy.add_argument("--decision")
|
||||
legacy.add_argument("--symbol")
|
||||
legacy.add_argument("--from-symbol")
|
||||
legacy.add_argument("--to-symbol")
|
||||
legacy.add_argument("--amount-usdt", type=float)
|
||||
legacy.add_argument("--decision-id")
|
||||
legacy.add_argument("--analysis")
|
||||
legacy.add_argument("--reasoning")
|
||||
legacy.add_argument("--dry-run", action="store_true")
|
||||
ns, unknown = legacy.parse_known_args(argv)
|
||||
|
||||
if ns.decision:
|
||||
decision = (ns.decision or "").strip().upper()
|
||||
rebuilt = []
|
||||
if ns.decision_id:
|
||||
rebuilt += ["--decision-id", ns.decision_id]
|
||||
if ns.analysis:
|
||||
rebuilt += ["--analysis", ns.analysis]
|
||||
if ns.reasoning:
|
||||
rebuilt += ["--reasoning", ns.reasoning]
|
||||
if ns.dry_run:
|
||||
rebuilt += ["--dry-run"]
|
||||
|
||||
if decision == "HOLD":
|
||||
rebuilt += ["hold"]
|
||||
elif decision == "SELL_ALL":
|
||||
if not ns.symbol:
|
||||
raise RuntimeError("Legacy --decision SELL_ALL requires --symbol")
|
||||
rebuilt += ["sell-all", ns.symbol]
|
||||
elif decision == "BUY":
|
||||
if not ns.symbol or ns.amount_usdt is None:
|
||||
raise RuntimeError("Legacy --decision BUY requires --symbol and --amount-usdt")
|
||||
rebuilt += ["buy", ns.symbol, str(ns.amount_usdt)]
|
||||
elif decision == "REBALANCE":
|
||||
if not ns.from_symbol or not ns.to_symbol:
|
||||
raise RuntimeError("Legacy --decision REBALANCE requires --from-symbol and --to-symbol")
|
||||
rebuilt += ["rebalance", ns.from_symbol, ns.to_symbol]
|
||||
else:
|
||||
raise RuntimeError(f"Unsupported legacy decision: {decision}")
|
||||
|
||||
return rebuilt + unknown
|
||||
|
||||
return argv
|
||||
|
||||
|
||||
def parse_cli_args(argv: list[str]):
|
||||
parser = build_parser()
|
||||
normalized = normalize_legacy_argv(argv)
|
||||
args = parser.parse_args(normalized)
|
||||
if not args.command:
|
||||
parser.print_help()
|
||||
raise SystemExit(1)
|
||||
args.command = COMMAND_CANONICAL.get(args.command, args.command)
|
||||
return args, normalized
|
||||
|
||||
|
||||
def cli_action_args(args, action: str) -> list[str]:
|
||||
if action == "sell_all":
|
||||
return [args.symbol]
|
||||
if action == "buy":
|
||||
return [args.symbol, str(args.amount_usdt)]
|
||||
if action == "rebalance":
|
||||
return [args.from_symbol, args.to_symbol]
|
||||
if action == "order_status":
|
||||
return [args.symbol, args.order_id]
|
||||
if action == "cancel":
|
||||
return [args.symbol, args.order_id] if args.order_id else [args.symbol]
|
||||
return []
|
||||
@@ -1,142 +0,0 @@
|
||||
"""Service entrypoint for smart executor workflows."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import os
|
||||
|
||||
__all__ = ["run"]
|
||||
import sys
|
||||
|
||||
from ..logger import log_decision, log_error
|
||||
from .exchange_service import build_market_snapshot, fetch_balances
|
||||
from .execution_state import default_decision_id, get_execution_state, record_execution_state
|
||||
from .portfolio_service import load_positions
|
||||
from .smart_executor_parser import cli_action_args, parse_cli_args
|
||||
from .trade_common import bj_now_iso, log, set_dry_run
|
||||
from .trade_execution import (
|
||||
action_buy,
|
||||
action_rebalance,
|
||||
action_sell_all,
|
||||
build_decision_context,
|
||||
command_balances,
|
||||
command_cancel,
|
||||
command_order_status,
|
||||
command_orders,
|
||||
command_status,
|
||||
print_json,
|
||||
)
|
||||
|
||||
|
||||
def run(argv: list[str] | None = None) -> int:
|
||||
argv = list(sys.argv[1:] if argv is None else argv)
|
||||
args, normalized_argv = parse_cli_args(argv)
|
||||
action = args.command.replace("-", "_")
|
||||
argv_tail = cli_action_args(args, action)
|
||||
decision_id = (
|
||||
args.decision_id
|
||||
or os.getenv("DECISION_ID")
|
||||
or default_decision_id(action, normalized_argv)
|
||||
)
|
||||
|
||||
if args.dry_run:
|
||||
set_dry_run(True)
|
||||
|
||||
previous = get_execution_state(decision_id)
|
||||
read_only_action = action in {"balance", "balances", "status", "orders", "order_status", "cancel"}
|
||||
if previous and previous.get("status") == "success" and not read_only_action:
|
||||
log(f"⚠️ decision_id={decision_id} already executed successfully, skipping duplicate")
|
||||
return 0
|
||||
|
||||
try:
|
||||
from .exchange_service import get_exchange
|
||||
ex = get_exchange()
|
||||
|
||||
if read_only_action:
|
||||
if action in {"balance", "balances"}:
|
||||
command_balances(ex)
|
||||
elif action == "status":
|
||||
command_status(ex)
|
||||
elif action == "orders":
|
||||
command_orders(ex)
|
||||
elif action == "order_status":
|
||||
command_order_status(ex, args.symbol, args.order_id)
|
||||
elif action == "cancel":
|
||||
command_cancel(ex, args.symbol, getattr(args, "order_id", None))
|
||||
return 0
|
||||
|
||||
decision_context = build_decision_context(ex, action, argv_tail, decision_id)
|
||||
if args.analysis:
|
||||
decision_context["analysis"] = args.analysis
|
||||
elif os.getenv("DECISION_ANALYSIS"):
|
||||
decision_context["analysis"] = os.getenv("DECISION_ANALYSIS")
|
||||
if args.reasoning:
|
||||
decision_context["reasoning"] = args.reasoning
|
||||
elif os.getenv("DECISION_REASONING"):
|
||||
decision_context["reasoning"] = os.getenv("DECISION_REASONING")
|
||||
|
||||
record_execution_state(
|
||||
decision_id,
|
||||
{"status": "pending", "started_at": bj_now_iso(), "action": action, "args": argv_tail},
|
||||
)
|
||||
|
||||
if action == "sell_all":
|
||||
result = action_sell_all(ex, args.symbol, decision_id, decision_context)
|
||||
elif action == "buy":
|
||||
result = action_buy(ex, args.symbol, float(args.amount_usdt), decision_id, decision_context)
|
||||
elif action == "rebalance":
|
||||
result = action_rebalance(ex, args.from_symbol, args.to_symbol, decision_id, decision_context)
|
||||
elif action == "hold":
|
||||
balances = fetch_balances(ex)
|
||||
positions = load_positions()
|
||||
market_snapshot = build_market_snapshot(ex)
|
||||
log_decision(
|
||||
{
|
||||
**decision_context,
|
||||
"balances_after": balances,
|
||||
"positions_after": positions,
|
||||
"market_snapshot": market_snapshot,
|
||||
"analysis": decision_context.get("analysis", "hold"),
|
||||
"reasoning": decision_context.get("reasoning", "hold"),
|
||||
"execution_result": {"status": "hold"},
|
||||
}
|
||||
)
|
||||
log("😴 Decision: hold, no action")
|
||||
result = {"status": "hold"}
|
||||
else:
|
||||
raise RuntimeError(f"Unknown action: {action}; run --help for valid CLI usage")
|
||||
|
||||
record_execution_state(
|
||||
decision_id,
|
||||
{
|
||||
"status": "success",
|
||||
"finished_at": bj_now_iso(),
|
||||
"action": action,
|
||||
"args": argv_tail,
|
||||
"result": result,
|
||||
},
|
||||
)
|
||||
if not read_only_action:
|
||||
print_json({"ok": True, "decision_id": decision_id, "action": action, "result": result})
|
||||
log(f"Execution completed decision_id={decision_id}")
|
||||
return 0
|
||||
|
||||
except Exception as exc:
|
||||
record_execution_state(
|
||||
decision_id,
|
||||
{
|
||||
"status": "failed",
|
||||
"finished_at": bj_now_iso(),
|
||||
"action": action,
|
||||
"args": argv_tail,
|
||||
"error": str(exc),
|
||||
},
|
||||
)
|
||||
log_error(
|
||||
"smart_executor",
|
||||
exc,
|
||||
decision_id=decision_id,
|
||||
action=action,
|
||||
args=argv_tail,
|
||||
)
|
||||
log(f"❌ Execution failed: {exc}")
|
||||
return 1
|
||||
@@ -1,110 +0,0 @@
|
||||
"""Snapshot construction for precheck."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
from .candidate_scoring import top_candidates_from_tickers
|
||||
from .data_utils import norm_symbol, stable_hash, to_float
|
||||
from .market_data import enrich_candidates_and_positions, get_exchange, regime_from_pct
|
||||
from .precheck_constants import MIN_REAL_POSITION_VALUE_USDT
|
||||
from .state_manager import load_config, load_positions
|
||||
from .time_utils import get_local_now, utc_iso
|
||||
|
||||
|
||||
def build_snapshot():
|
||||
config = load_config()
|
||||
local_dt, tz_name = get_local_now(config)
|
||||
ex = get_exchange()
|
||||
positions = load_positions()
|
||||
tickers = ex.fetch_tickers()
|
||||
balances = ex.fetch_balance()["free"]
|
||||
free_usdt = to_float(balances.get("USDT"))
|
||||
|
||||
positions_view = []
|
||||
total_position_value = 0.0
|
||||
largest_position_value = 0.0
|
||||
actionable_positions = 0
|
||||
for pos in positions:
|
||||
symbol = pos.get("symbol") or ""
|
||||
sym_ccxt = norm_symbol(symbol)
|
||||
ticker = tickers.get(sym_ccxt, {})
|
||||
last = to_float(ticker.get("last"), None)
|
||||
qty = to_float(pos.get("quantity"))
|
||||
avg_cost = to_float(pos.get("avg_cost"), None)
|
||||
value = round(qty * last, 4) if last is not None else None
|
||||
pnl_pct = round((last - avg_cost) / avg_cost, 4) if last is not None and avg_cost else None
|
||||
high = to_float(ticker.get("high"))
|
||||
low = to_float(ticker.get("low"))
|
||||
distance_from_high = (high - last) / max(high, 1e-9) if high and last else None
|
||||
if value is not None:
|
||||
total_position_value += value
|
||||
largest_position_value = max(largest_position_value, value)
|
||||
if value >= MIN_REAL_POSITION_VALUE_USDT:
|
||||
actionable_positions += 1
|
||||
positions_view.append({
|
||||
"symbol": symbol,
|
||||
"base_asset": pos.get("base_asset"),
|
||||
"quantity": qty,
|
||||
"avg_cost": avg_cost,
|
||||
"last_price": last,
|
||||
"market_value_usdt": value,
|
||||
"pnl_pct": pnl_pct,
|
||||
"high_24h": round(high, 8) if high else None,
|
||||
"low_24h": round(low, 8) if low else None,
|
||||
"distance_from_high_pct": round(distance_from_high * 100, 2) if distance_from_high is not None else None,
|
||||
})
|
||||
|
||||
btc_pct = to_float((tickers.get("BTC/USDT") or {}).get("percentage"), None)
|
||||
eth_pct = to_float((tickers.get("ETH/USDT") or {}).get("percentage"), None)
|
||||
global_candidates, candidate_layers = top_candidates_from_tickers(tickers)
|
||||
global_candidates, candidate_layers, positions_view = enrich_candidates_and_positions(
|
||||
global_candidates, candidate_layers, positions_view, tickers, ex
|
||||
)
|
||||
leader_score = global_candidates[0]["score"] if global_candidates else 0.0
|
||||
portfolio_value = round(free_usdt + total_position_value, 4)
|
||||
volatility_score = round(max(abs(to_float(btc_pct, 0)), abs(to_float(eth_pct, 0))), 2)
|
||||
|
||||
position_structure = [
|
||||
{
|
||||
"symbol": p.get("symbol"),
|
||||
"base_asset": p.get("base_asset"),
|
||||
"quantity": round(to_float(p.get("quantity"), 0), 10),
|
||||
"avg_cost": to_float(p.get("avg_cost"), None),
|
||||
}
|
||||
for p in positions_view
|
||||
]
|
||||
|
||||
snapshot = {
|
||||
"generated_at": utc_iso(),
|
||||
"timezone": tz_name,
|
||||
"local_time": local_dt.isoformat(),
|
||||
"session": get_local_now(config)[0] if False else None, # will be replaced below
|
||||
"free_usdt": round(free_usdt, 4),
|
||||
"portfolio_value_usdt": portfolio_value,
|
||||
"largest_position_value_usdt": round(largest_position_value, 4),
|
||||
"actionable_positions": actionable_positions,
|
||||
"positions": positions_view,
|
||||
"positions_hash": stable_hash(position_structure),
|
||||
"top_candidates": global_candidates,
|
||||
"top_candidates_layers": candidate_layers,
|
||||
"candidates_hash": stable_hash({"global": global_candidates, "layers": candidate_layers}),
|
||||
"market_regime": {
|
||||
"btc_24h_pct": round(btc_pct, 2) if btc_pct is not None else None,
|
||||
"btc_regime": regime_from_pct(btc_pct),
|
||||
"eth_24h_pct": round(eth_pct, 2) if eth_pct is not None else None,
|
||||
"eth_regime": regime_from_pct(eth_pct),
|
||||
"volatility_score": volatility_score,
|
||||
"leader_score": round(leader_score, 4),
|
||||
},
|
||||
}
|
||||
# fix session after the fact to avoid re-fetching config
|
||||
snapshot["session"] = None
|
||||
from .time_utils import session_label
|
||||
snapshot["session"] = session_label(local_dt)
|
||||
snapshot["snapshot_hash"] = stable_hash({
|
||||
"portfolio_value_usdt": snapshot["portfolio_value_usdt"],
|
||||
"positions_hash": snapshot["positions_hash"],
|
||||
"candidates_hash": snapshot["candidates_hash"],
|
||||
"market_regime": snapshot["market_regime"],
|
||||
"session": snapshot["session"],
|
||||
})
|
||||
return snapshot
|
||||
@@ -1,160 +0,0 @@
|
||||
"""State management for precheck workflows."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
from datetime import timedelta
|
||||
|
||||
__all__ = [
|
||||
"load_env",
|
||||
"load_positions",
|
||||
"load_state",
|
||||
"modify_state",
|
||||
"load_config",
|
||||
"clear_run_request_fields",
|
||||
"sanitize_state_for_stale_triggers",
|
||||
"save_state",
|
||||
"update_state_after_observation",
|
||||
]
|
||||
|
||||
from ..runtime import get_runtime_paths, load_env_file
|
||||
from .data_utils import load_json
|
||||
from .file_utils import load_json_locked, read_modify_write_json, save_json_locked
|
||||
from .precheck_constants import (
|
||||
MAX_PENDING_TRIGGER_MINUTES,
|
||||
MAX_RUN_REQUEST_MINUTES,
|
||||
)
|
||||
from .time_utils import parse_ts, utc_iso, utc_now
|
||||
|
||||
|
||||
def _paths():
|
||||
return get_runtime_paths()
|
||||
|
||||
|
||||
def load_env() -> None:
|
||||
load_env_file(_paths())
|
||||
|
||||
|
||||
def load_positions():
|
||||
return load_json(_paths().positions_file, {}).get("positions", [])
|
||||
|
||||
|
||||
def load_state():
|
||||
paths = _paths()
|
||||
return load_json_locked(paths.precheck_state_file, paths.precheck_state_lock, {})
|
||||
|
||||
|
||||
def modify_state(modifier):
|
||||
"""Atomic read-modify-write for precheck state."""
|
||||
paths = _paths()
|
||||
read_modify_write_json(
|
||||
paths.precheck_state_file,
|
||||
paths.precheck_state_lock,
|
||||
{},
|
||||
modifier,
|
||||
)
|
||||
|
||||
|
||||
def load_config():
|
||||
return load_json(_paths().config_file, {})
|
||||
|
||||
|
||||
def clear_run_request_fields(state: dict):
|
||||
state.pop("run_requested_at", None)
|
||||
state.pop("run_request_note", None)
|
||||
|
||||
|
||||
def sanitize_state_for_stale_triggers(state: dict):
|
||||
sanitized = dict(state)
|
||||
notes = []
|
||||
now = utc_now()
|
||||
run_requested_at = parse_ts(sanitized.get("run_requested_at"))
|
||||
last_deep_analysis_at = parse_ts(sanitized.get("last_deep_analysis_at"))
|
||||
last_triggered_at = parse_ts(sanitized.get("last_triggered_at"))
|
||||
pending_trigger = bool(sanitized.get("pending_trigger"))
|
||||
|
||||
if run_requested_at and last_deep_analysis_at and last_deep_analysis_at >= run_requested_at:
|
||||
clear_run_request_fields(sanitized)
|
||||
if pending_trigger and (not last_triggered_at or last_deep_analysis_at >= last_triggered_at):
|
||||
sanitized["pending_trigger"] = False
|
||||
sanitized["pending_reasons"] = []
|
||||
sanitized["last_ack_note"] = (
|
||||
f"auto-cleared completed trigger at {utc_iso()} because last_deep_analysis_at >= run_requested_at"
|
||||
)
|
||||
pending_trigger = False
|
||||
notes.append(
|
||||
f"Auto-cleared completed run_requested marker: last_deep_analysis_at {last_deep_analysis_at.isoformat()} >= run_requested_at {run_requested_at.isoformat()}"
|
||||
)
|
||||
run_requested_at = None
|
||||
|
||||
if run_requested_at and now - run_requested_at > timedelta(minutes=MAX_RUN_REQUEST_MINUTES):
|
||||
clear_run_request_fields(sanitized)
|
||||
notes.append(
|
||||
f"Auto-cleared stale run_requested marker: waited {(now - run_requested_at).total_seconds() / 60:.1f} minutes, exceeding {MAX_RUN_REQUEST_MINUTES} minutes"
|
||||
)
|
||||
run_requested_at = None
|
||||
|
||||
pending_anchor = run_requested_at or last_triggered_at or last_deep_analysis_at
|
||||
if pending_trigger and pending_anchor and now - pending_anchor > timedelta(minutes=MAX_PENDING_TRIGGER_MINUTES):
|
||||
sanitized["pending_trigger"] = False
|
||||
sanitized["pending_reasons"] = []
|
||||
sanitized["last_ack_note"] = (
|
||||
f"auto-recovered stale pending trigger at {utc_iso()} after waiting "
|
||||
f"{(now - pending_anchor).total_seconds() / 60:.1f} minutes"
|
||||
)
|
||||
notes.append(
|
||||
f"Auto-recovered stale pending_trigger: trigger was dangling for {(now - pending_anchor).total_seconds() / 60:.1f} minutes, exceeding {MAX_PENDING_TRIGGER_MINUTES} minutes"
|
||||
)
|
||||
|
||||
sanitized["_stale_recovery_notes"] = notes
|
||||
return sanitized
|
||||
|
||||
|
||||
def save_state(state: dict):
|
||||
|
||||
paths = _paths()
|
||||
paths.state_dir.mkdir(parents=True, exist_ok=True)
|
||||
state_to_save = dict(state)
|
||||
state_to_save.pop("_stale_recovery_notes", None)
|
||||
save_json_locked(
|
||||
paths.precheck_state_file,
|
||||
paths.precheck_state_lock,
|
||||
state_to_save,
|
||||
)
|
||||
|
||||
|
||||
def update_state_after_observation(state: dict, snapshot: dict, analysis: dict):
|
||||
new_state = dict(state)
|
||||
new_state.update({
|
||||
"last_observed_at": snapshot["generated_at"],
|
||||
"last_snapshot_hash": snapshot["snapshot_hash"],
|
||||
"last_positions_hash": snapshot["positions_hash"],
|
||||
"last_candidates_hash": snapshot["candidates_hash"],
|
||||
"last_portfolio_value_usdt": snapshot["portfolio_value_usdt"],
|
||||
"last_market_regime": snapshot["market_regime"],
|
||||
"last_positions_map": {
|
||||
p["symbol"]: {"last_price": p.get("last_price"), "pnl_pct": p.get("pnl_pct")}
|
||||
for p in snapshot["positions"]
|
||||
},
|
||||
"last_top_candidate": snapshot["top_candidates"][0] if snapshot["top_candidates"] else None,
|
||||
"last_candidates_layers": snapshot.get("top_candidates_layers", {}),
|
||||
"last_adaptive_profile": analysis.get("adaptive_profile", {}),
|
||||
})
|
||||
if analysis["should_analyze"]:
|
||||
new_state["pending_trigger"] = True
|
||||
new_state["pending_reasons"] = analysis["details"]
|
||||
new_state["last_triggered_at"] = snapshot["generated_at"]
|
||||
new_state["last_trigger_snapshot_hash"] = snapshot["snapshot_hash"]
|
||||
new_state["last_trigger_hard_reasons"] = analysis.get("hard_reasons", [])
|
||||
new_state["last_trigger_signal_delta"] = analysis.get("signal_delta", 0.0)
|
||||
|
||||
last_hard_reasons_at = dict(state.get("last_hard_reasons_at", {}))
|
||||
for hr in analysis.get("hard_reasons", []):
|
||||
last_hard_reasons_at[hr] = snapshot["generated_at"]
|
||||
cutoff = utc_now() - timedelta(hours=24)
|
||||
pruned: dict[str, str] = {}
|
||||
for k, v in last_hard_reasons_at.items():
|
||||
ts = parse_ts(v)
|
||||
if ts and ts > cutoff:
|
||||
pruned[k] = v
|
||||
new_state["last_hard_reasons_at"] = pruned
|
||||
return new_state
|
||||
@@ -1,49 +0,0 @@
|
||||
"""Time utilities for precheck."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
from datetime import datetime, timezone
|
||||
from zoneinfo import ZoneInfo
|
||||
|
||||
|
||||
def utc_now() -> datetime:
|
||||
return datetime.now(timezone.utc)
|
||||
|
||||
|
||||
def utc_iso() -> str:
|
||||
return utc_now().isoformat()
|
||||
|
||||
|
||||
def parse_ts(value: str | None) -> datetime | None:
|
||||
if not value:
|
||||
return None
|
||||
try:
|
||||
ts = datetime.fromisoformat(value)
|
||||
if ts.tzinfo is None:
|
||||
ts = ts.replace(tzinfo=timezone.utc)
|
||||
return ts
|
||||
except Exception:
|
||||
return None
|
||||
|
||||
|
||||
def get_local_now(config: dict) -> tuple[datetime, str]:
|
||||
tz_name = config.get("timezone") or "Asia/Shanghai"
|
||||
try:
|
||||
tz = ZoneInfo(tz_name)
|
||||
except Exception:
|
||||
tz = ZoneInfo("Asia/Shanghai")
|
||||
tz_name = "Asia/Shanghai"
|
||||
return utc_now().astimezone(tz), tz_name
|
||||
|
||||
|
||||
def session_label(local_dt: datetime) -> str:
|
||||
hour = local_dt.hour
|
||||
if 0 <= hour < 7:
|
||||
return "overnight"
|
||||
if 7 <= hour < 12:
|
||||
return "asia-morning"
|
||||
if 12 <= hour < 17:
|
||||
return "asia-afternoon"
|
||||
if 17 <= hour < 21:
|
||||
return "europe-open"
|
||||
return "us-session"
|
||||
@@ -1,28 +0,0 @@
|
||||
"""Common trade utilities (time, logging, constants)."""
|
||||
import os
|
||||
import sys
|
||||
from datetime import datetime, timedelta, timezone
|
||||
|
||||
from ..runtime import get_user_config
|
||||
|
||||
CST = timezone(timedelta(hours=8))
|
||||
|
||||
_DRY_RUN = {"value": os.getenv("DRY_RUN", "false").lower() == "true"}
|
||||
USDT_BUFFER_PCT = get_user_config("trading.usdt_buffer_pct", 0.03)
|
||||
MIN_REMAINING_DUST_USDT = get_user_config("trading.min_remaining_dust_usdt", 1.0)
|
||||
|
||||
|
||||
def is_dry_run() -> bool:
|
||||
return _DRY_RUN["value"]
|
||||
|
||||
|
||||
def set_dry_run(value: bool):
|
||||
_DRY_RUN["value"] = value
|
||||
|
||||
|
||||
def log(msg: str):
|
||||
print(f"[{datetime.now(CST).strftime('%Y-%m-%d %H:%M:%S')} CST] {msg}", file=sys.stderr)
|
||||
|
||||
|
||||
def bj_now_iso():
|
||||
return datetime.now(CST).isoformat()
|
||||
@@ -1,243 +0,0 @@
|
||||
"""Trade execution actions (buy, sell, rebalance, hold, status)."""
|
||||
import json
|
||||
|
||||
__all__ = [
|
||||
"print_json",
|
||||
"build_decision_context",
|
||||
"market_sell",
|
||||
"market_buy",
|
||||
"action_sell_all",
|
||||
"action_buy",
|
||||
"action_rebalance",
|
||||
"command_status",
|
||||
"command_balances",
|
||||
"command_orders",
|
||||
"command_order_status",
|
||||
"command_cancel",
|
||||
]
|
||||
|
||||
from ..logger import log_decision, log_trade
|
||||
from .exchange_service import (
|
||||
build_market_snapshot,
|
||||
fetch_balances,
|
||||
norm_symbol,
|
||||
prepare_buy_quantity,
|
||||
prepare_sell_quantity,
|
||||
storage_symbol,
|
||||
)
|
||||
from .portfolio_service import (
|
||||
load_positions,
|
||||
reconcile_positions_with_exchange,
|
||||
update_positions,
|
||||
upsert_position,
|
||||
)
|
||||
from .trade_common import USDT_BUFFER_PCT, bj_now_iso, is_dry_run, log
|
||||
|
||||
|
||||
def print_json(payload: dict) -> None:
|
||||
print(json.dumps(payload, ensure_ascii=False, indent=2, sort_keys=True))
|
||||
|
||||
|
||||
def build_decision_context(ex, action: str, argv_tail: list[str], decision_id: str):
|
||||
balances = fetch_balances(ex)
|
||||
positions = load_positions()
|
||||
return {
|
||||
"decision_id": decision_id,
|
||||
"balances_before": balances,
|
||||
"positions_before": positions,
|
||||
"decision": action.upper(),
|
||||
"action_taken": f"{action} {' '.join(argv_tail)}".strip(),
|
||||
"risk_level": "high" if len(positions) <= 1 else "medium",
|
||||
"data_sources": ["binance"],
|
||||
}
|
||||
|
||||
|
||||
def market_sell(ex, symbol: str, qty: float, decision_id: str):
|
||||
sym, qty, bid, est_cost = prepare_sell_quantity(ex, symbol, qty)
|
||||
if is_dry_run():
|
||||
log(f"[DRY RUN] SELL {sym} qty {qty}")
|
||||
return {"id": f"dry-sell-{decision_id}", "symbol": sym, "amount": qty, "price": bid, "cost": est_cost, "status": "closed"}
|
||||
order = ex.create_market_sell_order(sym, qty, params={"newClientOrderId": f"ch-{decision_id}-sell"})
|
||||
return order
|
||||
|
||||
|
||||
def market_buy(ex, symbol: str, amount_usdt: float, decision_id: str):
|
||||
sym, qty, ask, est_cost = prepare_buy_quantity(ex, symbol, amount_usdt)
|
||||
if is_dry_run():
|
||||
log(f"[DRY RUN] BUY {sym} amount ${est_cost:.4f} qty {qty}")
|
||||
return {"id": f"dry-buy-{decision_id}", "symbol": sym, "amount": qty, "price": ask, "cost": est_cost, "status": "closed"}
|
||||
order = ex.create_market_buy_order(sym, qty, params={"newClientOrderId": f"ch-{decision_id}-buy"})
|
||||
return order
|
||||
|
||||
|
||||
def action_sell_all(ex, symbol: str, decision_id: str, decision_context: dict):
|
||||
balances_before = fetch_balances(ex)
|
||||
base = norm_symbol(symbol).split("/")[0]
|
||||
qty = float(balances_before.get(base, 0))
|
||||
if qty <= 0:
|
||||
raise RuntimeError(f"{base} balance is zero, cannot sell")
|
||||
order = market_sell(ex, symbol, qty, decision_id)
|
||||
if is_dry_run():
|
||||
positions_after = load_positions()
|
||||
balances_after = balances_before
|
||||
else:
|
||||
positions_after, balances_after = reconcile_positions_with_exchange(ex)
|
||||
log_trade(
|
||||
"SELL_ALL",
|
||||
norm_symbol(symbol),
|
||||
qty=order.get("amount"),
|
||||
price=order.get("price"),
|
||||
amount_usdt=order.get("cost"),
|
||||
note="Smart executor sell_all",
|
||||
decision_id=decision_id,
|
||||
order_id=order.get("id"),
|
||||
status=order.get("status"),
|
||||
balances_before=balances_before,
|
||||
balances_after=balances_after,
|
||||
)
|
||||
log_decision(
|
||||
{
|
||||
**decision_context,
|
||||
"balances_after": balances_after,
|
||||
"positions_after": positions_after,
|
||||
"execution_result": {"order": order},
|
||||
"analysis": decision_context.get("analysis", ""),
|
||||
"reasoning": decision_context.get("reasoning", "sell_all execution"),
|
||||
}
|
||||
)
|
||||
return order
|
||||
|
||||
|
||||
def action_buy(ex, symbol: str, amount_usdt: float, decision_id: str, decision_context: dict, simulated_usdt_balance: float | None = None):
|
||||
balances_before = fetch_balances(ex) if simulated_usdt_balance is None else {"USDT": simulated_usdt_balance}
|
||||
usdt = float(balances_before.get("USDT", 0))
|
||||
if usdt < amount_usdt:
|
||||
raise RuntimeError(f"Insufficient USDT balance (${usdt:.4f} < ${amount_usdt:.4f})")
|
||||
order = market_buy(ex, symbol, amount_usdt, decision_id)
|
||||
sym_store = storage_symbol(symbol)
|
||||
price = float(order.get("price") or 0)
|
||||
qty = float(order.get("amount") or 0)
|
||||
position = {
|
||||
"account_id": "binance-main",
|
||||
"symbol": sym_store,
|
||||
"base_asset": norm_symbol(symbol).split("/")[0],
|
||||
"quote_asset": "USDT",
|
||||
"market_type": "spot",
|
||||
"quantity": qty,
|
||||
"avg_cost": price,
|
||||
"opened_at": bj_now_iso(),
|
||||
"updated_at": bj_now_iso(),
|
||||
"note": "Smart executor entry",
|
||||
}
|
||||
if is_dry_run():
|
||||
balances_after = balances_before
|
||||
positions_after = load_positions()
|
||||
upsert_position(positions_after, position)
|
||||
else:
|
||||
update_positions(lambda p: upsert_position(p, position))
|
||||
positions_after, balances_after = reconcile_positions_with_exchange(ex, [position])
|
||||
log_trade(
|
||||
"BUY",
|
||||
norm_symbol(symbol),
|
||||
qty=qty,
|
||||
amount_usdt=order.get("cost"),
|
||||
price=price,
|
||||
note="Smart executor buy",
|
||||
decision_id=decision_id,
|
||||
order_id=order.get("id"),
|
||||
status=order.get("status"),
|
||||
balances_before=balances_before,
|
||||
balances_after=balances_after,
|
||||
)
|
||||
log_decision(
|
||||
{
|
||||
**decision_context,
|
||||
"balances_after": balances_after,
|
||||
"positions_after": positions_after,
|
||||
"execution_result": {"order": order},
|
||||
"analysis": decision_context.get("analysis", ""),
|
||||
"reasoning": decision_context.get("reasoning", "buy execution"),
|
||||
}
|
||||
)
|
||||
return order
|
||||
|
||||
|
||||
def action_rebalance(ex, from_symbol: str, to_symbol: str, decision_id: str, decision_context: dict):
|
||||
sell_order = action_sell_all(ex, from_symbol, decision_id + "s", decision_context)
|
||||
if is_dry_run():
|
||||
sell_cost = float(sell_order.get("cost") or 0)
|
||||
spend = sell_cost * (1 - USDT_BUFFER_PCT)
|
||||
simulated_usdt = sell_cost
|
||||
else:
|
||||
balances = fetch_balances(ex)
|
||||
usdt = float(balances.get("USDT", 0))
|
||||
spend = usdt * (1 - USDT_BUFFER_PCT)
|
||||
simulated_usdt = None
|
||||
if spend < 5:
|
||||
raise RuntimeError(f"USDT ${spend:.4f} insufficient after sell, cannot buy new token")
|
||||
buy_order = action_buy(ex, to_symbol, spend, decision_id + "b", decision_context, simulated_usdt_balance=simulated_usdt)
|
||||
return {"sell": sell_order, "buy": buy_order}
|
||||
|
||||
|
||||
def command_status(ex):
|
||||
balances = fetch_balances(ex)
|
||||
positions = load_positions()
|
||||
market_snapshot = build_market_snapshot(ex)
|
||||
payload = {
|
||||
"balances": balances,
|
||||
"positions": positions,
|
||||
"market_snapshot": market_snapshot,
|
||||
}
|
||||
print_json(payload)
|
||||
return payload
|
||||
|
||||
|
||||
def command_balances(ex):
|
||||
balances = fetch_balances(ex)
|
||||
payload = {"balances": balances}
|
||||
print_json(payload)
|
||||
return balances
|
||||
|
||||
|
||||
def command_orders(ex):
|
||||
sym = None
|
||||
try:
|
||||
orders = ex.fetch_open_orders(symbol=sym) if sym else ex.fetch_open_orders()
|
||||
except Exception as e:
|
||||
raise RuntimeError(f"Failed to fetch open orders: {e}")
|
||||
payload = {"orders": orders}
|
||||
print_json(payload)
|
||||
return orders
|
||||
|
||||
|
||||
def command_order_status(ex, symbol: str, order_id: str):
|
||||
sym = norm_symbol(symbol)
|
||||
try:
|
||||
order = ex.fetch_order(order_id, sym)
|
||||
except Exception as e:
|
||||
raise RuntimeError(f"Failed to fetch order {order_id}: {e}")
|
||||
payload = {"order": order}
|
||||
print_json(payload)
|
||||
return order
|
||||
|
||||
|
||||
def command_cancel(ex, symbol: str, order_id: str | None):
|
||||
sym = norm_symbol(symbol)
|
||||
if is_dry_run():
|
||||
log(f"[DRY RUN] Would cancel order {order_id or '(newest)'} on {sym}")
|
||||
return {"dry_run": True, "symbol": sym, "order_id": order_id}
|
||||
if not order_id:
|
||||
try:
|
||||
open_orders = ex.fetch_open_orders(sym)
|
||||
except Exception as e:
|
||||
raise RuntimeError(f"Failed to fetch open orders for {sym}: {e}")
|
||||
if not open_orders:
|
||||
raise RuntimeError(f"No open orders to cancel for {sym}")
|
||||
order_id = str(open_orders[-1]["id"])
|
||||
try:
|
||||
result = ex.cancel_order(order_id, sym)
|
||||
except Exception as e:
|
||||
raise RuntimeError(f"Failed to cancel order {order_id} on {sym}: {e}")
|
||||
payload = {"cancelled": True, "symbol": sym, "order_id": order_id, "result": result}
|
||||
print_json(payload)
|
||||
return result
|
||||
263
src/coinhunter/services/trade_service.py
Normal file
263
src/coinhunter/services/trade_service.py
Normal file
@@ -0,0 +1,263 @@
|
||||
"""Trade execution services."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
from dataclasses import asdict, dataclass
|
||||
from typing import Any
|
||||
|
||||
from ..audit import audit_event
|
||||
from .market_service import normalize_symbol
|
||||
|
||||
|
||||
@dataclass
|
||||
class TradeIntent:
|
||||
market_type: str
|
||||
symbol: str
|
||||
side: str
|
||||
order_type: str
|
||||
qty: float | None
|
||||
quote_amount: float | None
|
||||
price: float | None
|
||||
reduce_only: bool
|
||||
dry_run: bool
|
||||
|
||||
|
||||
@dataclass
|
||||
class TradeResult:
|
||||
market_type: str
|
||||
symbol: str
|
||||
side: str
|
||||
order_type: str
|
||||
status: str
|
||||
dry_run: bool
|
||||
request_payload: dict[str, Any]
|
||||
response_payload: dict[str, Any]
|
||||
|
||||
|
||||
def _default_dry_run(config: dict[str, Any], dry_run: bool | None) -> bool:
|
||||
if dry_run is not None:
|
||||
return dry_run
|
||||
return bool(config.get("trading", {}).get("dry_run_default", False))
|
||||
|
||||
|
||||
def _trade_log_payload(intent: TradeIntent, payload: dict[str, Any], *, status: str, error: str | None = None) -> dict[str, Any]:
|
||||
return {
|
||||
"market_type": intent.market_type,
|
||||
"symbol": intent.symbol,
|
||||
"side": intent.side,
|
||||
"qty": intent.qty,
|
||||
"quote_amount": intent.quote_amount,
|
||||
"order_type": intent.order_type,
|
||||
"dry_run": intent.dry_run,
|
||||
"request_payload": payload,
|
||||
"response_payload": {} if error else payload,
|
||||
"status": status,
|
||||
"error": error,
|
||||
}
|
||||
|
||||
|
||||
def execute_spot_trade(
|
||||
config: dict[str, Any],
|
||||
*,
|
||||
side: str,
|
||||
symbol: str,
|
||||
qty: float | None,
|
||||
quote: float | None,
|
||||
order_type: str,
|
||||
price: float | None,
|
||||
dry_run: bool | None,
|
||||
spot_client: Any,
|
||||
) -> dict[str, Any]:
|
||||
normalized_symbol = normalize_symbol(symbol)
|
||||
order_type = order_type.upper()
|
||||
side = side.upper()
|
||||
is_dry_run = _default_dry_run(config, dry_run)
|
||||
if side == "BUY" and order_type == "MARKET":
|
||||
if quote is None:
|
||||
raise RuntimeError("Spot market buy requires --quote")
|
||||
if qty is not None:
|
||||
raise RuntimeError("Spot market buy accepts --quote only; do not pass --qty")
|
||||
if side == "SELL":
|
||||
if qty is None:
|
||||
raise RuntimeError("Spot sell requires --qty")
|
||||
if quote is not None:
|
||||
raise RuntimeError("Spot sell accepts --qty only; do not pass --quote")
|
||||
if order_type == "LIMIT" and (qty is None or price is None):
|
||||
raise RuntimeError("Limit orders require both --qty and --price")
|
||||
|
||||
payload: dict[str, Any] = {
|
||||
"symbol": normalized_symbol,
|
||||
"side": side,
|
||||
"type": order_type,
|
||||
}
|
||||
if qty is not None:
|
||||
payload["quantity"] = qty
|
||||
if quote is not None:
|
||||
payload["quoteOrderQty"] = quote
|
||||
if price is not None:
|
||||
payload["price"] = price
|
||||
payload["timeInForce"] = "GTC"
|
||||
|
||||
intent = TradeIntent(
|
||||
market_type="spot",
|
||||
symbol=normalized_symbol,
|
||||
side=side,
|
||||
order_type=order_type,
|
||||
qty=qty,
|
||||
quote_amount=quote,
|
||||
price=price,
|
||||
reduce_only=False,
|
||||
dry_run=is_dry_run,
|
||||
)
|
||||
|
||||
audit_event("trade_submitted", _trade_log_payload(intent, payload, status="submitted"))
|
||||
if is_dry_run:
|
||||
response = {"dry_run": True, "status": "DRY_RUN", "request": payload}
|
||||
result = asdict(
|
||||
TradeResult(
|
||||
market_type="spot",
|
||||
symbol=normalized_symbol,
|
||||
side=side,
|
||||
order_type=order_type,
|
||||
status="DRY_RUN",
|
||||
dry_run=True,
|
||||
request_payload=payload,
|
||||
response_payload=response,
|
||||
)
|
||||
)
|
||||
audit_event("trade_filled", {**_trade_log_payload(intent, payload, status="DRY_RUN"), "response_payload": response})
|
||||
return {"trade": result}
|
||||
|
||||
try:
|
||||
response = spot_client.new_order(**payload)
|
||||
except Exception as exc:
|
||||
audit_event("trade_failed", _trade_log_payload(intent, payload, status="failed", error=str(exc)))
|
||||
raise RuntimeError(f"Spot order failed: {exc}") from exc
|
||||
|
||||
result = asdict(
|
||||
TradeResult(
|
||||
market_type="spot",
|
||||
symbol=normalized_symbol,
|
||||
side=side,
|
||||
order_type=order_type,
|
||||
status=str(response.get("status", "UNKNOWN")),
|
||||
dry_run=False,
|
||||
request_payload=payload,
|
||||
response_payload=response,
|
||||
)
|
||||
)
|
||||
audit_event("trade_filled", {**_trade_log_payload(intent, payload, status=result["status"]), "response_payload": response})
|
||||
return {"trade": result}
|
||||
|
||||
|
||||
def execute_futures_trade(
|
||||
config: dict[str, Any],
|
||||
*,
|
||||
side: str,
|
||||
symbol: str,
|
||||
qty: float,
|
||||
order_type: str,
|
||||
price: float | None,
|
||||
reduce_only: bool,
|
||||
dry_run: bool | None,
|
||||
futures_client: Any,
|
||||
) -> dict[str, Any]:
|
||||
normalized_symbol = normalize_symbol(symbol)
|
||||
order_type = order_type.upper()
|
||||
side = side.upper()
|
||||
is_dry_run = _default_dry_run(config, dry_run)
|
||||
if qty <= 0:
|
||||
raise RuntimeError("Futures orders require a positive --qty")
|
||||
if order_type == "LIMIT" and price is None:
|
||||
raise RuntimeError("Futures limit orders require --price")
|
||||
|
||||
payload: dict[str, Any] = {
|
||||
"symbol": normalized_symbol,
|
||||
"side": side,
|
||||
"type": order_type,
|
||||
"quantity": qty,
|
||||
"reduceOnly": "true" if reduce_only else "false",
|
||||
}
|
||||
if price is not None:
|
||||
payload["price"] = price
|
||||
payload["timeInForce"] = "GTC"
|
||||
|
||||
intent = TradeIntent(
|
||||
market_type="futures",
|
||||
symbol=normalized_symbol,
|
||||
side=side,
|
||||
order_type=order_type,
|
||||
qty=qty,
|
||||
quote_amount=None,
|
||||
price=price,
|
||||
reduce_only=reduce_only,
|
||||
dry_run=is_dry_run,
|
||||
)
|
||||
|
||||
audit_event("trade_submitted", _trade_log_payload(intent, payload, status="submitted"))
|
||||
if is_dry_run:
|
||||
response = {"dry_run": True, "status": "DRY_RUN", "request": payload}
|
||||
result = asdict(
|
||||
TradeResult(
|
||||
market_type="futures",
|
||||
symbol=normalized_symbol,
|
||||
side=side,
|
||||
order_type=order_type,
|
||||
status="DRY_RUN",
|
||||
dry_run=True,
|
||||
request_payload=payload,
|
||||
response_payload=response,
|
||||
)
|
||||
)
|
||||
audit_event("trade_filled", {**_trade_log_payload(intent, payload, status="DRY_RUN"), "response_payload": response})
|
||||
return {"trade": result}
|
||||
|
||||
try:
|
||||
response = futures_client.new_order(**payload)
|
||||
except Exception as exc:
|
||||
audit_event("trade_failed", _trade_log_payload(intent, payload, status="failed", error=str(exc)))
|
||||
raise RuntimeError(f"Futures order failed: {exc}") from exc
|
||||
|
||||
result = asdict(
|
||||
TradeResult(
|
||||
market_type="futures",
|
||||
symbol=normalized_symbol,
|
||||
side=side,
|
||||
order_type=order_type,
|
||||
status=str(response.get("status", "UNKNOWN")),
|
||||
dry_run=False,
|
||||
request_payload=payload,
|
||||
response_payload=response,
|
||||
)
|
||||
)
|
||||
audit_event("trade_filled", {**_trade_log_payload(intent, payload, status=result["status"]), "response_payload": response})
|
||||
return {"trade": result}
|
||||
|
||||
|
||||
def close_futures_position(
|
||||
config: dict[str, Any],
|
||||
*,
|
||||
symbol: str,
|
||||
dry_run: bool | None,
|
||||
futures_client: Any,
|
||||
) -> dict[str, Any]:
|
||||
normalized_symbol = normalize_symbol(symbol)
|
||||
positions = futures_client.position_risk(normalized_symbol)
|
||||
target = next((item for item in positions if normalize_symbol(item["symbol"]) == normalized_symbol), None)
|
||||
if target is None:
|
||||
raise RuntimeError(f"No futures position found for {normalized_symbol}")
|
||||
position_amt = float(target.get("positionAmt", 0.0))
|
||||
if position_amt == 0:
|
||||
raise RuntimeError(f"No open futures position for {normalized_symbol}")
|
||||
side = "SELL" if position_amt > 0 else "BUY"
|
||||
return execute_futures_trade(
|
||||
config,
|
||||
side=side,
|
||||
symbol=normalized_symbol,
|
||||
qty=abs(position_amt),
|
||||
order_type="MARKET",
|
||||
price=None,
|
||||
reduce_only=True,
|
||||
dry_run=dry_run,
|
||||
futures_client=futures_client,
|
||||
)
|
||||
@@ -1,317 +0,0 @@
|
||||
"""Trigger analysis logic for precheck."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
from datetime import timedelta
|
||||
|
||||
from .adaptive_profile import _candidate_weight, build_adaptive_profile
|
||||
from .data_utils import to_float
|
||||
from .precheck_constants import (
|
||||
HARD_MOON_PCT,
|
||||
HARD_REASON_DEDUP_MINUTES,
|
||||
HARD_STOP_PCT,
|
||||
MIN_REAL_POSITION_VALUE_USDT,
|
||||
)
|
||||
from .time_utils import parse_ts, utc_now
|
||||
|
||||
|
||||
def analyze_trigger(snapshot: dict, state: dict):
|
||||
reasons = []
|
||||
details = list(state.get("_stale_recovery_notes", []))
|
||||
hard_reasons = []
|
||||
soft_reasons = []
|
||||
soft_score = 0.0
|
||||
|
||||
profile = build_adaptive_profile(snapshot)
|
||||
market = snapshot.get("market_regime", {})
|
||||
now = utc_now()
|
||||
|
||||
last_positions_hash = state.get("last_positions_hash")
|
||||
last_portfolio_value = state.get("last_portfolio_value_usdt")
|
||||
last_market_regime = state.get("last_market_regime", {})
|
||||
last_positions_map = state.get("last_positions_map", {})
|
||||
last_top_candidate = state.get("last_top_candidate")
|
||||
pending_trigger = bool(state.get("pending_trigger"))
|
||||
run_requested_at = parse_ts(state.get("run_requested_at"))
|
||||
last_deep_analysis_at = parse_ts(state.get("last_deep_analysis_at"))
|
||||
last_triggered_at = parse_ts(state.get("last_triggered_at"))
|
||||
last_trigger_snapshot_hash = state.get("last_trigger_snapshot_hash")
|
||||
last_hard_reasons_at = state.get("last_hard_reasons_at", {})
|
||||
|
||||
price_trigger = profile["price_move_trigger_pct"]
|
||||
pnl_trigger = profile["pnl_trigger_pct"]
|
||||
portfolio_trigger = profile["portfolio_move_trigger_pct"]
|
||||
candidate_ratio_trigger = profile["candidate_score_trigger_ratio"]
|
||||
force_minutes = profile["force_analysis_after_minutes"]
|
||||
cooldown_minutes = profile["cooldown_minutes"]
|
||||
soft_score_threshold = profile["soft_score_threshold"]
|
||||
|
||||
if pending_trigger:
|
||||
reasons.append("pending-trigger-unacked")
|
||||
hard_reasons.append("pending-trigger-unacked")
|
||||
details.append("Previous deep analysis trigger has not been acknowledged yet")
|
||||
if run_requested_at:
|
||||
details.append(f"External gate requested analysis at {run_requested_at.isoformat()}")
|
||||
|
||||
if not last_deep_analysis_at:
|
||||
reasons.append("first-analysis")
|
||||
hard_reasons.append("first-analysis")
|
||||
details.append("No deep analysis has been recorded yet")
|
||||
elif now - last_deep_analysis_at >= timedelta(minutes=force_minutes):
|
||||
reasons.append("stale-analysis")
|
||||
hard_reasons.append("stale-analysis")
|
||||
details.append(f"Time since last deep analysis exceeds {force_minutes} minutes")
|
||||
|
||||
if last_positions_hash and snapshot["positions_hash"] != last_positions_hash:
|
||||
reasons.append("positions-changed")
|
||||
hard_reasons.append("positions-changed")
|
||||
details.append("Position structure has changed")
|
||||
|
||||
if last_portfolio_value not in (None, 0):
|
||||
lpf = float(str(last_portfolio_value))
|
||||
portfolio_delta = abs(snapshot["portfolio_value_usdt"] - lpf) / max(lpf, 1e-9)
|
||||
if portfolio_delta >= portfolio_trigger:
|
||||
if portfolio_delta >= 1.0:
|
||||
reasons.append("portfolio-extreme-move")
|
||||
hard_reasons.append("portfolio-extreme-move")
|
||||
details.append(f"Portfolio value moved extremely {portfolio_delta:.1%}, exceeding 100%, treated as hard trigger")
|
||||
else:
|
||||
reasons.append("portfolio-move")
|
||||
soft_reasons.append("portfolio-move")
|
||||
soft_score += 1.0
|
||||
details.append(f"Portfolio value moved {portfolio_delta:.1%}, threshold {portfolio_trigger:.1%}")
|
||||
|
||||
for pos in snapshot["positions"]:
|
||||
symbol = pos["symbol"]
|
||||
prev = last_positions_map.get(symbol, {})
|
||||
cur_price = pos.get("last_price")
|
||||
prev_price = prev.get("last_price")
|
||||
cur_pnl = pos.get("pnl_pct")
|
||||
prev_pnl = prev.get("pnl_pct")
|
||||
market_value = to_float(pos.get("market_value_usdt"), 0)
|
||||
actionable_position = market_value >= MIN_REAL_POSITION_VALUE_USDT
|
||||
|
||||
if cur_price and prev_price:
|
||||
price_move = abs(cur_price - prev_price) / max(prev_price, 1e-9)
|
||||
if price_move >= price_trigger:
|
||||
reasons.append(f"price-move:{symbol}")
|
||||
soft_reasons.append(f"price-move:{symbol}")
|
||||
soft_score += 1.0 if actionable_position else 0.4
|
||||
details.append(f"{symbol} price moved {price_move:.1%}, threshold {price_trigger:.1%}")
|
||||
if cur_pnl is not None and prev_pnl is not None:
|
||||
pnl_move = abs(cur_pnl - prev_pnl)
|
||||
if pnl_move >= pnl_trigger:
|
||||
reasons.append(f"pnl-move:{symbol}")
|
||||
soft_reasons.append(f"pnl-move:{symbol}")
|
||||
soft_score += 1.0 if actionable_position else 0.4
|
||||
details.append(f"{symbol} PnL moved {pnl_move:.1%}, threshold {pnl_trigger:.1%}")
|
||||
if cur_pnl is not None:
|
||||
stop_band = -0.06 if actionable_position else -0.12
|
||||
take_band = 0.14 if actionable_position else 0.25
|
||||
if cur_pnl <= stop_band or cur_pnl >= take_band:
|
||||
reasons.append(f"risk-band:{symbol}")
|
||||
hard_reasons.append(f"risk-band:{symbol}")
|
||||
details.append(f"{symbol} near execution threshold, current PnL {cur_pnl:.1%}")
|
||||
if cur_pnl <= HARD_STOP_PCT:
|
||||
reasons.append(f"hard-stop:{symbol}")
|
||||
hard_reasons.append(f"hard-stop:{symbol}")
|
||||
details.append(f"{symbol} PnL exceeded {HARD_STOP_PCT:.1%}, emergency hard trigger")
|
||||
|
||||
current_market = snapshot.get("market_regime", {})
|
||||
if last_market_regime:
|
||||
if current_market.get("btc_regime") != last_market_regime.get("btc_regime"):
|
||||
reasons.append("btc-regime-change")
|
||||
hard_reasons.append("btc-regime-change")
|
||||
details.append(f"BTC regime changed from {last_market_regime.get('btc_regime')} to {current_market.get('btc_regime')}")
|
||||
if current_market.get("eth_regime") != last_market_regime.get("eth_regime"):
|
||||
reasons.append("eth-regime-change")
|
||||
hard_reasons.append("eth-regime-change")
|
||||
details.append(f"ETH regime changed from {last_market_regime.get('eth_regime')} to {current_market.get('eth_regime')}")
|
||||
|
||||
for cand in snapshot.get("top_candidates", []):
|
||||
if cand.get("change_24h_pct", 0) >= HARD_MOON_PCT * 100:
|
||||
reasons.append(f"hard-moon:{cand['symbol']}")
|
||||
hard_reasons.append(f"hard-moon:{cand['symbol']}")
|
||||
details.append(f"Candidate {cand['symbol']} 24h change {cand['change_24h_pct']:.1f}%, hard moon trigger")
|
||||
|
||||
candidate_weight = _candidate_weight(snapshot, profile)
|
||||
|
||||
last_layers = state.get("last_candidates_layers", {})
|
||||
current_layers = snapshot.get("top_candidates_layers", {})
|
||||
for band in ("major", "mid", "meme"):
|
||||
cur_band = current_layers.get(band, [])
|
||||
prev_band = last_layers.get(band, [])
|
||||
cur_leader = cur_band[0] if cur_band else None
|
||||
prev_leader = prev_band[0] if prev_band else None
|
||||
if cur_leader and prev_leader and cur_leader["symbol"] != prev_leader["symbol"]:
|
||||
score_ratio = cur_leader.get("score", 0) / max(prev_leader.get("score", 0.0001), 0.0001)
|
||||
if score_ratio >= candidate_ratio_trigger:
|
||||
reasons.append(f"new-leader-{band}:{cur_leader['symbol']}")
|
||||
soft_reasons.append(f"new-leader-{band}:{cur_leader['symbol']}")
|
||||
soft_score += candidate_weight * 0.7
|
||||
details.append(
|
||||
f"{band} tier new leader {cur_leader['symbol']} replaced {prev_leader['symbol']}, score ratio {score_ratio:.2f}"
|
||||
)
|
||||
|
||||
current_leader = snapshot.get("top_candidates", [{}])[0] if snapshot.get("top_candidates") else None
|
||||
if last_top_candidate and current_leader:
|
||||
if current_leader.get("symbol") != last_top_candidate.get("symbol"):
|
||||
score_ratio = current_leader.get("score", 0) / max(last_top_candidate.get("score", 0.0001), 0.0001)
|
||||
if score_ratio >= candidate_ratio_trigger:
|
||||
reasons.append("new-leader")
|
||||
soft_reasons.append("new-leader")
|
||||
soft_score += candidate_weight
|
||||
details.append(
|
||||
f"New candidate {current_leader.get('symbol')} leads previous top, score ratio {score_ratio:.2f}, threshold {candidate_ratio_trigger:.2f}"
|
||||
)
|
||||
elif current_leader and not last_top_candidate:
|
||||
reasons.append("candidate-leader-init")
|
||||
soft_reasons.append("candidate-leader-init")
|
||||
soft_score += candidate_weight
|
||||
details.append(f"First recorded candidate leader {current_leader.get('symbol')}")
|
||||
|
||||
def _signal_delta() -> float:
|
||||
delta = 0.0
|
||||
if last_trigger_snapshot_hash and snapshot.get("snapshot_hash") != last_trigger_snapshot_hash:
|
||||
delta += 0.5
|
||||
if snapshot["positions_hash"] != last_positions_hash:
|
||||
delta += 1.5
|
||||
for pos in snapshot["positions"]:
|
||||
symbol = pos["symbol"]
|
||||
prev = last_positions_map.get(symbol, {})
|
||||
cur_price = pos.get("last_price")
|
||||
prev_price = prev.get("last_price")
|
||||
cur_pnl = pos.get("pnl_pct")
|
||||
prev_pnl = prev.get("pnl_pct")
|
||||
if cur_price and prev_price and abs(cur_price - prev_price) / max(prev_price, 1e-9) >= 0.02:
|
||||
delta += 0.5
|
||||
if cur_pnl is not None and prev_pnl is not None and abs(cur_pnl - prev_pnl) >= 0.03:
|
||||
delta += 0.5
|
||||
last_leader = state.get("last_top_candidate")
|
||||
if current_leader and last_leader and current_leader.get("symbol") != last_leader.get("symbol"):
|
||||
delta += 1.0
|
||||
for band in ("major", "mid", "meme"):
|
||||
cur_band = current_layers.get(band, [])
|
||||
prev_band = last_layers.get(band, [])
|
||||
cur_l = cur_band[0] if cur_band else None
|
||||
prev_l = prev_band[0] if prev_band else None
|
||||
if cur_l and prev_l and cur_l.get("symbol") != prev_l.get("symbol"):
|
||||
delta += 0.5
|
||||
if last_market_regime:
|
||||
if current_market.get("btc_regime") != last_market_regime.get("btc_regime"):
|
||||
delta += 1.5
|
||||
if current_market.get("eth_regime") != last_market_regime.get("eth_regime"):
|
||||
delta += 1.5
|
||||
if last_portfolio_value not in (None, 0):
|
||||
lpf = float(str(last_portfolio_value))
|
||||
portfolio_delta = abs(snapshot["portfolio_value_usdt"] - lpf) / max(lpf, 1e-9)
|
||||
if portfolio_delta >= 0.05:
|
||||
delta += 1.0
|
||||
last_trigger_hard_types = {r.split(":")[0] for r in (state.get("last_trigger_hard_reasons") or [])}
|
||||
current_hard_types = {r.split(":")[0] for r in hard_reasons}
|
||||
if current_hard_types - last_trigger_hard_types:
|
||||
delta += 2.0
|
||||
return delta
|
||||
|
||||
signal_delta = _signal_delta()
|
||||
effective_cooldown = cooldown_minutes
|
||||
if signal_delta < 1.0:
|
||||
effective_cooldown = max(cooldown_minutes, 90)
|
||||
elif signal_delta >= 2.5:
|
||||
effective_cooldown = max(0, cooldown_minutes - 15)
|
||||
|
||||
cooldown_active = bool(last_triggered_at and now - last_triggered_at < timedelta(minutes=effective_cooldown))
|
||||
|
||||
dedup_window = timedelta(minutes=HARD_REASON_DEDUP_MINUTES)
|
||||
for hr in list(hard_reasons):
|
||||
last_at = parse_ts(last_hard_reasons_at.get(hr))
|
||||
if last_at and now - last_at < dedup_window:
|
||||
hard_reasons.remove(hr)
|
||||
details.append(f"{hr} triggered recently, deduplicated within {HARD_REASON_DEDUP_MINUTES} minutes")
|
||||
|
||||
hard_trigger = bool(hard_reasons)
|
||||
if profile.get("dust_mode") and not hard_trigger and soft_score < soft_score_threshold + 1.0:
|
||||
details.append("Dust-mode portfolio: raising soft-trigger threshold to avoid noise")
|
||||
|
||||
if profile.get("dust_mode") and not profile.get("new_entries_allowed") and any(
|
||||
r in {"new-leader", "candidate-leader-init"} for r in soft_reasons
|
||||
):
|
||||
details.append("Available capital below executable threshold; new candidates are observation-only")
|
||||
soft_score = max(0.0, soft_score - 0.75)
|
||||
|
||||
should_analyze = hard_trigger or soft_score >= soft_score_threshold
|
||||
|
||||
if cooldown_active and not hard_trigger and should_analyze:
|
||||
should_analyze = False
|
||||
details.append(f"In {cooldown_minutes} minute cooldown window; soft trigger logged but not escalated")
|
||||
|
||||
if cooldown_active and not hard_trigger and reasons and soft_score < soft_score_threshold:
|
||||
details.append(f"In {cooldown_minutes} minute cooldown window with insufficient soft signal ({soft_score:.2f} < {soft_score_threshold:.2f})")
|
||||
|
||||
status = "deep_analysis_required" if should_analyze else "stable"
|
||||
|
||||
compact_lines = [
|
||||
f"Status: {status}",
|
||||
f"Portfolio: ${snapshot['portfolio_value_usdt']:.4f} | Free USDT: ${snapshot['free_usdt']:.4f}",
|
||||
f"Session: {snapshot['session']} | TZ: {snapshot['timezone']}",
|
||||
f"BTC/ETH: {market.get('btc_regime')} ({market.get('btc_24h_pct')}%), {market.get('eth_regime')} ({market.get('eth_24h_pct')}%) | Volatility score {market.get('volatility_score')}",
|
||||
f"Profile: capital={profile['capital_band']}, session={profile['session_mode']}, volatility={profile['volatility_mode']}, dust={profile['dust_mode']}",
|
||||
f"Thresholds: price={price_trigger:.1%}, pnl={pnl_trigger:.1%}, portfolio={portfolio_trigger:.1%}, candidate={candidate_ratio_trigger:.2f}, cooldown={effective_cooldown}m({cooldown_minutes}m base), force={force_minutes}m",
|
||||
f"Soft score: {soft_score:.2f} / {soft_score_threshold:.2f}",
|
||||
f"Signal delta: {signal_delta:.1f}",
|
||||
]
|
||||
if snapshot["positions"]:
|
||||
compact_lines.append("Positions:")
|
||||
for pos in snapshot["positions"][:4]:
|
||||
pnl = pos.get("pnl_pct")
|
||||
pnl_text = f"{pnl:+.1%}" if pnl is not None else "n/a"
|
||||
compact_lines.append(
|
||||
f"- {pos['symbol']}: qty={pos['quantity']}, px={pos.get('last_price')}, pnl={pnl_text}, value=${pos.get('market_value_usdt')}"
|
||||
)
|
||||
else:
|
||||
compact_lines.append("Positions: no spot positions currently")
|
||||
if snapshot["top_candidates"]:
|
||||
compact_lines.append("Candidates:")
|
||||
for cand in snapshot["top_candidates"]:
|
||||
compact_lines.append(
|
||||
f"- {cand['symbol']}: score={cand['score']}, 24h={cand['change_24h_pct']}%, vol=${cand['volume_24h']}"
|
||||
)
|
||||
layers = snapshot.get("top_candidates_layers", {})
|
||||
for band, band_cands in layers.items():
|
||||
if band_cands:
|
||||
compact_lines.append(f"{band} tier:")
|
||||
for cand in band_cands:
|
||||
compact_lines.append(
|
||||
f"- {cand['symbol']}: score={cand['score']}, 24h={cand['change_24h_pct']}%, vol=${cand['volume_24h']}"
|
||||
)
|
||||
if details:
|
||||
compact_lines.append("Trigger notes:")
|
||||
for item in details:
|
||||
compact_lines.append(f"- {item}")
|
||||
|
||||
return {
|
||||
"generated_at": snapshot["generated_at"],
|
||||
"status": status,
|
||||
"should_analyze": should_analyze,
|
||||
"pending_trigger": pending_trigger,
|
||||
"run_requested": bool(run_requested_at),
|
||||
"run_requested_at": run_requested_at.isoformat() if run_requested_at else None,
|
||||
"cooldown_active": cooldown_active,
|
||||
"effective_cooldown_minutes": effective_cooldown,
|
||||
"signal_delta": round(signal_delta, 2),
|
||||
"reasons": reasons,
|
||||
"hard_reasons": hard_reasons,
|
||||
"soft_reasons": soft_reasons,
|
||||
"soft_score": round(soft_score, 3),
|
||||
"adaptive_profile": profile,
|
||||
"portfolio_value_usdt": snapshot["portfolio_value_usdt"],
|
||||
"free_usdt": snapshot["free_usdt"],
|
||||
"market_regime": snapshot["market_regime"],
|
||||
"session": snapshot["session"],
|
||||
"positions": snapshot["positions"],
|
||||
"top_candidates": snapshot["top_candidates"],
|
||||
"top_candidates_layers": layers,
|
||||
"snapshot_hash": snapshot["snapshot_hash"],
|
||||
"compact_summary": "\n".join(compact_lines),
|
||||
"details": details,
|
||||
}
|
||||
@@ -1,103 +0,0 @@
|
||||
#!/usr/bin/env python3
|
||||
"""Backward-compatible facade for smart executor workflows.
|
||||
|
||||
The executable implementation lives in ``coinhunter.services.smart_executor_service``.
|
||||
This module stays importable for older callers without importing the whole trading
|
||||
stack up front.
|
||||
"""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import sys
|
||||
from importlib import import_module
|
||||
|
||||
_EXPORT_MAP = {
|
||||
"PATHS": (".runtime", "get_runtime_paths"),
|
||||
"ENV_FILE": (".runtime", "get_runtime_paths"),
|
||||
"load_env_file": (".runtime", "load_env_file"),
|
||||
"CST": (".services.trade_common", "CST"),
|
||||
"USDT_BUFFER_PCT": (".services.trade_common", "USDT_BUFFER_PCT"),
|
||||
"MIN_REMAINING_DUST_USDT": (".services.trade_common", "MIN_REMAINING_DUST_USDT"),
|
||||
"is_dry_run": (".services.trade_common", "is_dry_run"),
|
||||
"log": (".services.trade_common", "log"),
|
||||
"bj_now_iso": (".services.trade_common", "bj_now_iso"),
|
||||
"set_dry_run": (".services.trade_common", "set_dry_run"),
|
||||
"locked_file": (".services.file_utils", "locked_file"),
|
||||
"atomic_write_json": (".services.file_utils", "atomic_write_json"),
|
||||
"load_json_locked": (".services.file_utils", "load_json_locked"),
|
||||
"save_json_locked": (".services.file_utils", "save_json_locked"),
|
||||
"build_parser": (".services.smart_executor_parser", "build_parser"),
|
||||
"normalize_legacy_argv": (".services.smart_executor_parser", "normalize_legacy_argv"),
|
||||
"parse_cli_args": (".services.smart_executor_parser", "parse_cli_args"),
|
||||
"cli_action_args": (".services.smart_executor_parser", "cli_action_args"),
|
||||
"default_decision_id": (".services.execution_state", "default_decision_id"),
|
||||
"record_execution_state": (".services.execution_state", "record_execution_state"),
|
||||
"get_execution_state": (".services.execution_state", "get_execution_state"),
|
||||
"load_executions": (".services.execution_state", "load_executions"),
|
||||
"save_executions": (".services.execution_state", "save_executions"),
|
||||
"load_positions": (".services.portfolio_service", "load_positions"),
|
||||
"save_positions": (".services.portfolio_service", "save_positions"),
|
||||
"update_positions": (".services.portfolio_service", "update_positions"),
|
||||
"upsert_position": (".services.portfolio_service", "upsert_position"),
|
||||
"reconcile_positions_with_exchange": (".services.portfolio_service", "reconcile_positions_with_exchange"),
|
||||
"get_exchange": (".services.exchange_service", "get_exchange"),
|
||||
"norm_symbol": (".services.exchange_service", "norm_symbol"),
|
||||
"storage_symbol": (".services.exchange_service", "storage_symbol"),
|
||||
"fetch_balances": (".services.exchange_service", "fetch_balances"),
|
||||
"build_market_snapshot": (".services.exchange_service", "build_market_snapshot"),
|
||||
"market_and_ticker": (".services.exchange_service", "market_and_ticker"),
|
||||
"floor_to_step": (".services.exchange_service", "floor_to_step"),
|
||||
"prepare_buy_quantity": (".services.exchange_service", "prepare_buy_quantity"),
|
||||
"prepare_sell_quantity": (".services.exchange_service", "prepare_sell_quantity"),
|
||||
"build_decision_context": (".services.trade_execution", "build_decision_context"),
|
||||
"market_sell": (".services.trade_execution", "market_sell"),
|
||||
"market_buy": (".services.trade_execution", "market_buy"),
|
||||
"action_sell_all": (".services.trade_execution", "action_sell_all"),
|
||||
"action_buy": (".services.trade_execution", "action_buy"),
|
||||
"action_rebalance": (".services.trade_execution", "action_rebalance"),
|
||||
"command_status": (".services.trade_execution", "command_status"),
|
||||
"command_balances": (".services.trade_execution", "command_balances"),
|
||||
"command_orders": (".services.trade_execution", "command_orders"),
|
||||
"command_order_status": (".services.trade_execution", "command_order_status"),
|
||||
"command_cancel": (".services.trade_execution", "command_cancel"),
|
||||
}
|
||||
|
||||
__all__ = sorted(set(_EXPORT_MAP) | {"ENV_FILE", "PATHS", "load_env", "main"})
|
||||
|
||||
|
||||
def __getattr__(name: str):
|
||||
if name == "PATHS":
|
||||
runtime = import_module(".runtime", __package__)
|
||||
return runtime.get_runtime_paths()
|
||||
if name == "ENV_FILE":
|
||||
runtime = import_module(".runtime", __package__)
|
||||
return runtime.get_runtime_paths().env_file
|
||||
if name == "load_env":
|
||||
return load_env
|
||||
if name not in _EXPORT_MAP:
|
||||
raise AttributeError(f"module {__name__!r} has no attribute {name!r}")
|
||||
module_name, attr_name = _EXPORT_MAP[name]
|
||||
module = import_module(module_name, __package__)
|
||||
if name == "PATHS":
|
||||
return getattr(module, attr_name)()
|
||||
if name == "ENV_FILE":
|
||||
return getattr(module, attr_name)().env_file
|
||||
return getattr(module, attr_name)
|
||||
|
||||
|
||||
def __dir__():
|
||||
return sorted(set(globals()) | set(__all__))
|
||||
|
||||
|
||||
def load_env():
|
||||
runtime = import_module(".runtime", __package__)
|
||||
runtime.load_env_file(runtime.get_runtime_paths())
|
||||
|
||||
|
||||
def main(argv=None):
|
||||
from .services.smart_executor_service import run as _run_service
|
||||
return _run_service(sys.argv[1:] if argv is None else argv)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
raise SystemExit(main())
|
||||
80
tests/test_account_market_services.py
Normal file
80
tests/test_account_market_services.py
Normal file
@@ -0,0 +1,80 @@
|
||||
"""Account and market service tests."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import unittest
|
||||
|
||||
from coinhunter.services import account_service, market_service
|
||||
|
||||
|
||||
class FakeSpotClient:
|
||||
def account_info(self):
|
||||
return {
|
||||
"balances": [
|
||||
{"asset": "USDT", "free": "120.0", "locked": "0"},
|
||||
{"asset": "BTC", "free": "0.01", "locked": "0"},
|
||||
{"asset": "DOGE", "free": "1", "locked": "0"},
|
||||
]
|
||||
}
|
||||
|
||||
def ticker_price(self, symbols=None):
|
||||
prices = {
|
||||
"BTCUSDT": {"symbol": "BTCUSDT", "price": "60000"},
|
||||
"DOGEUSDT": {"symbol": "DOGEUSDT", "price": "0.1"},
|
||||
}
|
||||
if not symbols:
|
||||
return list(prices.values())
|
||||
return [prices[symbol] for symbol in symbols]
|
||||
|
||||
def ticker_24h(self, symbols=None):
|
||||
rows = [
|
||||
{"symbol": "BTCUSDT", "lastPrice": "60000", "priceChangePercent": "4.5", "quoteVolume": "10000000", "highPrice": "61000", "lowPrice": "58000"},
|
||||
{"symbol": "ETHUSDT", "lastPrice": "3000", "priceChangePercent": "3.0", "quoteVolume": "8000000", "highPrice": "3050", "lowPrice": "2900"},
|
||||
{"symbol": "DOGEUSDT", "lastPrice": "0.1", "priceChangePercent": "1.0", "quoteVolume": "200", "highPrice": "0.11", "lowPrice": "0.09"},
|
||||
]
|
||||
if not symbols:
|
||||
return rows
|
||||
wanted = set(symbols)
|
||||
return [row for row in rows if row["symbol"] in wanted]
|
||||
|
||||
def exchange_info(self):
|
||||
return {"symbols": [{"symbol": "BTCUSDT", "status": "TRADING"}, {"symbol": "ETHUSDT", "status": "TRADING"}, {"symbol": "DOGEUSDT", "status": "BREAK"}]}
|
||||
|
||||
|
||||
class FakeFuturesClient:
|
||||
def balance(self):
|
||||
return [{"asset": "USDT", "balance": "250.0", "availableBalance": "200.0"}]
|
||||
|
||||
def position_risk(self, symbol=None):
|
||||
return [{"symbol": "BTCUSDT", "positionAmt": "0.02", "notional": "1200", "entryPrice": "59000", "markPrice": "60000", "unRealizedProfit": "20"}]
|
||||
|
||||
|
||||
class AccountMarketServicesTestCase(unittest.TestCase):
|
||||
def test_account_overview_and_dust_filter(self):
|
||||
config = {
|
||||
"market": {"default_quote": "USDT"},
|
||||
"trading": {"dust_usdt_threshold": 10.0},
|
||||
}
|
||||
payload = account_service.get_overview(
|
||||
config,
|
||||
include_spot=True,
|
||||
include_futures=True,
|
||||
spot_client=FakeSpotClient(),
|
||||
futures_client=FakeFuturesClient(),
|
||||
)
|
||||
self.assertEqual(payload["overview"]["spot_equity_usdt"], 720.1)
|
||||
self.assertEqual(payload["overview"]["futures_equity_usdt"], 250.0)
|
||||
symbols = {item["symbol"] for item in payload["positions"]}
|
||||
self.assertNotIn("DOGEUSDT", symbols)
|
||||
self.assertIn("BTCUSDT", symbols)
|
||||
|
||||
def test_market_tickers_and_scan_universe(self):
|
||||
config = {
|
||||
"market": {"default_quote": "USDT", "universe_allowlist": [], "universe_denylist": []},
|
||||
"opportunity": {"min_quote_volume": 1000},
|
||||
}
|
||||
tickers = market_service.get_tickers(config, ["btc/usdt", "ETH-USDT"], spot_client=FakeSpotClient())
|
||||
self.assertEqual([item["symbol"] for item in tickers["tickers"]], ["BTCUSDT", "ETHUSDT"])
|
||||
|
||||
universe = market_service.get_scan_universe(config, spot_client=FakeSpotClient())
|
||||
self.assertEqual([item["symbol"] for item in universe], ["BTCUSDT", "ETHUSDT"])
|
||||
@@ -1,70 +0,0 @@
|
||||
"""Tests for check_api command."""
|
||||
|
||||
import json
|
||||
from unittest.mock import MagicMock, patch
|
||||
|
||||
from coinhunter.commands import check_api
|
||||
|
||||
|
||||
class TestMain:
|
||||
def test_missing_api_key(self, monkeypatch, capsys):
|
||||
monkeypatch.setenv("BINANCE_API_KEY", "")
|
||||
monkeypatch.setenv("BINANCE_API_SECRET", "secret")
|
||||
rc = check_api.main()
|
||||
assert rc == 1
|
||||
out = json.loads(capsys.readouterr().out)
|
||||
assert out["ok"] is False
|
||||
assert "BINANCE_API_KEY" in out["error"]
|
||||
|
||||
def test_missing_api_secret(self, monkeypatch, capsys):
|
||||
monkeypatch.setenv("BINANCE_API_KEY", "key")
|
||||
monkeypatch.setenv("BINANCE_API_SECRET", "")
|
||||
rc = check_api.main()
|
||||
assert rc == 1
|
||||
out = json.loads(capsys.readouterr().out)
|
||||
assert out["ok"] is False
|
||||
assert "BINANCE_API_SECRET" in out["error"]
|
||||
|
||||
def test_placholder_api_key(self, monkeypatch, capsys):
|
||||
monkeypatch.setenv("BINANCE_API_KEY", "your_api_key")
|
||||
monkeypatch.setenv("BINANCE_API_SECRET", "secret")
|
||||
rc = check_api.main()
|
||||
assert rc == 1
|
||||
|
||||
def test_balance_fetch_failure(self, monkeypatch, capsys):
|
||||
monkeypatch.setenv("BINANCE_API_KEY", "key")
|
||||
monkeypatch.setenv("BINANCE_API_SECRET", "secret")
|
||||
mock_ex = MagicMock()
|
||||
mock_ex.fetch_balance.side_effect = Exception("Network error")
|
||||
with patch("coinhunter.commands.check_api.ccxt.binance", return_value=mock_ex):
|
||||
rc = check_api.main()
|
||||
assert rc == 1
|
||||
out = json.loads(capsys.readouterr().out)
|
||||
assert "Failed to connect" in out["error"]
|
||||
|
||||
def test_success_with_spot_trading(self, monkeypatch, capsys):
|
||||
monkeypatch.setenv("BINANCE_API_KEY", "key")
|
||||
monkeypatch.setenv("BINANCE_API_SECRET", "secret")
|
||||
mock_ex = MagicMock()
|
||||
mock_ex.fetch_balance.return_value = {"USDT": 100.0}
|
||||
mock_ex.sapi_get_account_api_restrictions.return_value = {"enableSpotTrading": True}
|
||||
with patch("coinhunter.commands.check_api.ccxt.binance", return_value=mock_ex):
|
||||
rc = check_api.main()
|
||||
assert rc == 0
|
||||
out = json.loads(capsys.readouterr().out)
|
||||
assert out["ok"] is True
|
||||
assert out["read_permission"] is True
|
||||
assert out["spot_trading_enabled"] is True
|
||||
|
||||
def test_success_restrictions_query_fails(self, monkeypatch, capsys):
|
||||
monkeypatch.setenv("BINANCE_API_KEY", "key")
|
||||
monkeypatch.setenv("BINANCE_API_SECRET", "secret")
|
||||
mock_ex = MagicMock()
|
||||
mock_ex.fetch_balance.return_value = {"USDT": 100.0}
|
||||
mock_ex.sapi_get_account_api_restrictions.side_effect = Exception("no permission")
|
||||
with patch("coinhunter.commands.check_api.ccxt.binance", return_value=mock_ex):
|
||||
rc = check_api.main()
|
||||
assert rc == 0
|
||||
out = json.loads(capsys.readouterr().out)
|
||||
assert out["spot_trading_enabled"] is None
|
||||
assert "may be null" in out["note"]
|
||||
@@ -1,58 +1,38 @@
|
||||
"""Tests for CLI routing and parser behavior."""
|
||||
"""CLI tests for CoinHunter V2."""
|
||||
|
||||
import pytest
|
||||
from __future__ import annotations
|
||||
|
||||
from coinhunter.cli import ALIASES, MODULE_MAP, build_parser, run_python_module
|
||||
import io
|
||||
import unittest
|
||||
from unittest.mock import patch
|
||||
|
||||
from coinhunter import cli
|
||||
|
||||
|
||||
class TestAliases:
|
||||
def test_all_aliases_resolve_to_canonical(self):
|
||||
for alias, canonical in ALIASES.items():
|
||||
assert canonical in MODULE_MAP, f"alias {alias!r} points to missing canonical {canonical!r}"
|
||||
|
||||
def test_no_alias_is_itself_an_alias_loop(self):
|
||||
for alias in ALIASES:
|
||||
assert alias not in ALIASES.values() or alias in MODULE_MAP
|
||||
|
||||
|
||||
class TestModuleMap:
|
||||
def test_all_modules_exist(self):
|
||||
import importlib
|
||||
|
||||
for command, module_name in MODULE_MAP.items():
|
||||
full = f"coinhunter.{module_name}"
|
||||
mod = importlib.import_module(full)
|
||||
assert hasattr(mod, "main"), f"{full} missing main()"
|
||||
|
||||
|
||||
class TestBuildParser:
|
||||
def test_help_includes_commands(self):
|
||||
parser = build_parser()
|
||||
class CLITestCase(unittest.TestCase):
|
||||
def test_help_includes_v2_commands(self):
|
||||
parser = cli.build_parser()
|
||||
help_text = parser.format_help()
|
||||
assert "coinhunter diag" in help_text
|
||||
assert "coinhunter exec" in help_text
|
||||
self.assertIn("init", help_text)
|
||||
self.assertIn("account", help_text)
|
||||
self.assertIn("opportunity", help_text)
|
||||
|
||||
def test_parses_command_and_args(self):
|
||||
parser = build_parser()
|
||||
ns = parser.parse_args(["exec", "bal"])
|
||||
assert ns.command == "exec"
|
||||
assert "bal" in ns.args
|
||||
def test_init_dispatches(self):
|
||||
captured = {}
|
||||
with patch.object(cli, "ensure_init_files", return_value={"force": True, "root": "/tmp/ch"}), patch.object(
|
||||
cli, "print_json", side_effect=lambda payload: captured.setdefault("payload", payload)
|
||||
):
|
||||
result = cli.main(["init", "--force"])
|
||||
self.assertEqual(result, 0)
|
||||
self.assertTrue(captured["payload"]["force"])
|
||||
|
||||
def test_version_action_exits(self):
|
||||
parser = build_parser()
|
||||
with pytest.raises(SystemExit) as exc:
|
||||
parser.parse_args(["--version"])
|
||||
assert exc.value.code == 0
|
||||
def test_old_command_is_rejected(self):
|
||||
with self.assertRaises(SystemExit):
|
||||
cli.main(["exec", "bal"])
|
||||
|
||||
|
||||
class TestRunPythonModule:
|
||||
def test_runs_module_main_and_returns_int(self):
|
||||
result = run_python_module("commands.paths", [], "coinhunter paths")
|
||||
assert result == 0
|
||||
|
||||
def test_mutates_sys_argv(self):
|
||||
import sys
|
||||
|
||||
original = sys.argv[:]
|
||||
run_python_module("commands.paths", ["--help"], "coinhunter paths")
|
||||
assert sys.argv == original
|
||||
def test_runtime_error_is_rendered_cleanly(self):
|
||||
stderr = io.StringIO()
|
||||
with patch.object(cli, "load_config", side_effect=RuntimeError("boom")), patch("sys.stderr", stderr):
|
||||
result = cli.main(["market", "tickers", "BTCUSDT"])
|
||||
self.assertEqual(result, 1)
|
||||
self.assertIn("error: boom", stderr.getvalue())
|
||||
|
||||
79
tests/test_config_runtime.py
Normal file
79
tests/test_config_runtime.py
Normal file
@@ -0,0 +1,79 @@
|
||||
"""Config and runtime tests."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import os
|
||||
import tempfile
|
||||
import unittest
|
||||
from pathlib import Path
|
||||
from unittest.mock import patch
|
||||
|
||||
from coinhunter.config import ensure_init_files, get_binance_credentials, load_config, load_env_file
|
||||
from coinhunter.runtime import get_runtime_paths
|
||||
|
||||
|
||||
class ConfigRuntimeTestCase(unittest.TestCase):
|
||||
def test_init_files_created_in_coinhunter_home(self):
|
||||
with tempfile.TemporaryDirectory() as tmp_dir, patch.dict(os.environ, {"COINHUNTER_HOME": str(Path(tmp_dir) / "home")}, clear=False):
|
||||
paths = get_runtime_paths()
|
||||
payload = ensure_init_files(paths)
|
||||
self.assertTrue(paths.config_file.exists())
|
||||
self.assertTrue(paths.env_file.exists())
|
||||
self.assertTrue(paths.logs_dir.exists())
|
||||
self.assertEqual(payload["root"], str(paths.root))
|
||||
|
||||
def test_load_config_and_env(self):
|
||||
with tempfile.TemporaryDirectory() as tmp_dir, patch.dict(
|
||||
os.environ,
|
||||
{"COINHUNTER_HOME": str(Path(tmp_dir) / "home")},
|
||||
clear=False,
|
||||
):
|
||||
paths = get_runtime_paths()
|
||||
ensure_init_files(paths)
|
||||
paths.env_file.write_text("BINANCE_API_KEY=abc\nBINANCE_API_SECRET=def\n", encoding="utf-8")
|
||||
|
||||
config = load_config(paths)
|
||||
loaded = load_env_file(paths)
|
||||
|
||||
self.assertEqual(config["market"]["default_quote"], "USDT")
|
||||
self.assertEqual(loaded["BINANCE_API_KEY"], "abc")
|
||||
self.assertEqual(os.environ["BINANCE_API_SECRET"], "def")
|
||||
|
||||
def test_env_file_overrides_existing_environment(self):
|
||||
with tempfile.TemporaryDirectory() as tmp_dir, patch.dict(
|
||||
os.environ,
|
||||
{"COINHUNTER_HOME": str(Path(tmp_dir) / "home"), "BINANCE_API_KEY": "old_key"},
|
||||
clear=False,
|
||||
):
|
||||
paths = get_runtime_paths()
|
||||
ensure_init_files(paths)
|
||||
paths.env_file.write_text("BINANCE_API_KEY=new_key\nBINANCE_API_SECRET=new_secret\n", encoding="utf-8")
|
||||
|
||||
load_env_file(paths)
|
||||
|
||||
self.assertEqual(os.environ["BINANCE_API_KEY"], "new_key")
|
||||
self.assertEqual(os.environ["BINANCE_API_SECRET"], "new_secret")
|
||||
|
||||
def test_missing_credentials_raise(self):
|
||||
with tempfile.TemporaryDirectory() as tmp_dir, patch.dict(
|
||||
os.environ,
|
||||
{"COINHUNTER_HOME": str(Path(tmp_dir) / "home")},
|
||||
clear=False,
|
||||
):
|
||||
os.environ.pop("BINANCE_API_KEY", None)
|
||||
os.environ.pop("BINANCE_API_SECRET", None)
|
||||
paths = get_runtime_paths()
|
||||
ensure_init_files(paths)
|
||||
with self.assertRaisesRegex(RuntimeError, "Missing BINANCE_API_KEY"):
|
||||
get_binance_credentials(paths)
|
||||
|
||||
def test_permission_error_is_explained(self):
|
||||
with tempfile.TemporaryDirectory() as tmp_dir, patch.dict(
|
||||
os.environ,
|
||||
{"COINHUNTER_HOME": str(Path(tmp_dir) / "home")},
|
||||
clear=False,
|
||||
):
|
||||
paths = get_runtime_paths()
|
||||
with patch("coinhunter.config.ensure_runtime_dirs", side_effect=PermissionError("no write access")):
|
||||
with self.assertRaisesRegex(RuntimeError, "Set COINHUNTER_HOME to a writable directory"):
|
||||
ensure_init_files(paths)
|
||||
@@ -1,98 +0,0 @@
|
||||
"""Tests for exchange helpers and caching."""
|
||||
|
||||
import pytest
|
||||
|
||||
from coinhunter.services import exchange_service as es
|
||||
|
||||
|
||||
class TestNormSymbol:
|
||||
def test_already_normalized(self):
|
||||
assert es.norm_symbol("BTC/USDT") == "BTC/USDT"
|
||||
|
||||
def test_raw_symbol(self):
|
||||
assert es.norm_symbol("BTCUSDT") == "BTC/USDT"
|
||||
|
||||
def test_lowercase(self):
|
||||
assert es.norm_symbol("btcusdt") == "BTC/USDT"
|
||||
|
||||
def test_dash_separator(self):
|
||||
assert es.norm_symbol("BTC-USDT") == "BTC/USDT"
|
||||
|
||||
def test_underscore_separator(self):
|
||||
assert es.norm_symbol("BTC_USDT") == "BTC/USDT"
|
||||
|
||||
def test_unsupported_symbol(self):
|
||||
with pytest.raises(ValueError):
|
||||
es.norm_symbol("BTC")
|
||||
|
||||
|
||||
class TestStorageSymbol:
|
||||
def test_converts_to_flat(self):
|
||||
assert es.storage_symbol("BTC/USDT") == "BTCUSDT"
|
||||
|
||||
def test_raw_input(self):
|
||||
assert es.storage_symbol("ETHUSDT") == "ETHUSDT"
|
||||
|
||||
|
||||
class TestFloorToStep:
|
||||
def test_no_step(self):
|
||||
assert es.floor_to_step(1.234, 0) == 1.234
|
||||
|
||||
def test_floors_to_step(self):
|
||||
assert es.floor_to_step(1.234, 0.1) == pytest.approx(1.2)
|
||||
|
||||
def test_exact_multiple(self):
|
||||
assert es.floor_to_step(12, 1) == 12
|
||||
|
||||
|
||||
class TestGetExchangeCaching:
|
||||
def test_returns_cached_instance(self, monkeypatch):
|
||||
monkeypatch.setenv("BINANCE_API_KEY", "test_key")
|
||||
monkeypatch.setenv("BINANCE_API_SECRET", "test_secret")
|
||||
|
||||
class FakeEx:
|
||||
def load_markets(self):
|
||||
pass
|
||||
|
||||
# Reset cache and patch ccxt.binance
|
||||
original_cache = es._exchange_cache
|
||||
original_cached_at = es._exchange_cached_at
|
||||
try:
|
||||
es._exchange_cache = None
|
||||
es._exchange_cached_at = None
|
||||
monkeypatch.setattr(es.ccxt, "binance", lambda *a, **kw: FakeEx())
|
||||
|
||||
first = es.get_exchange()
|
||||
second = es.get_exchange()
|
||||
assert first is second
|
||||
|
||||
third = es.get_exchange(force_new=True)
|
||||
assert third is not first
|
||||
finally:
|
||||
es._exchange_cache = original_cache
|
||||
es._exchange_cached_at = original_cached_at
|
||||
|
||||
def test_cache_expires_after_ttl(self, monkeypatch):
|
||||
monkeypatch.setenv("BINANCE_API_KEY", "test_key")
|
||||
monkeypatch.setenv("BINANCE_API_SECRET", "test_secret")
|
||||
|
||||
class FakeEx:
|
||||
def load_markets(self):
|
||||
pass
|
||||
|
||||
original_cache = es._exchange_cache
|
||||
original_cached_at = es._exchange_cached_at
|
||||
try:
|
||||
es._exchange_cache = None
|
||||
es._exchange_cached_at = None
|
||||
monkeypatch.setattr(es.ccxt, "binance", lambda *a, **kw: FakeEx())
|
||||
monkeypatch.setattr(es, "load_env", lambda: None)
|
||||
|
||||
first = es.get_exchange()
|
||||
# Simulate time passing beyond TTL
|
||||
es._exchange_cached_at -= es.CACHE_TTL_SECONDS + 1
|
||||
second = es.get_exchange()
|
||||
assert first is not second
|
||||
finally:
|
||||
es._exchange_cache = original_cache
|
||||
es._exchange_cached_at = original_cached_at
|
||||
@@ -1,203 +0,0 @@
|
||||
"""Tests for external_gate configurable hook."""
|
||||
|
||||
import json
|
||||
from unittest.mock import MagicMock, patch
|
||||
|
||||
from coinhunter.commands import external_gate
|
||||
|
||||
|
||||
class TestResolveTriggerCommand:
|
||||
def test_missing_config_means_disabled(self, tmp_path, monkeypatch):
|
||||
monkeypatch.setenv("COINHUNTER_HOME", str(tmp_path))
|
||||
paths = external_gate._paths()
|
||||
# no config file exists
|
||||
cmd = external_gate._resolve_trigger_command(paths)
|
||||
assert cmd is None
|
||||
|
||||
def test_uses_explicit_list_from_config(self, tmp_path, monkeypatch):
|
||||
monkeypatch.setenv("COINHUNTER_HOME", str(tmp_path))
|
||||
paths = external_gate._paths()
|
||||
paths.root.mkdir(parents=True, exist_ok=True)
|
||||
paths.config_file.write_text(json.dumps({
|
||||
"external_gate": {"trigger_command": ["my-scheduler", "run", "job-123"]}
|
||||
}), encoding="utf-8")
|
||||
cmd = external_gate._resolve_trigger_command(paths)
|
||||
assert cmd == ["my-scheduler", "run", "job-123"]
|
||||
|
||||
def test_null_means_disabled(self, tmp_path, monkeypatch):
|
||||
monkeypatch.setenv("COINHUNTER_HOME", str(tmp_path))
|
||||
paths = external_gate._paths()
|
||||
paths.root.mkdir(parents=True, exist_ok=True)
|
||||
paths.config_file.write_text(json.dumps({
|
||||
"external_gate": {"trigger_command": None}
|
||||
}), encoding="utf-8")
|
||||
cmd = external_gate._resolve_trigger_command(paths)
|
||||
assert cmd is None
|
||||
|
||||
def test_empty_list_means_disabled(self, tmp_path, monkeypatch):
|
||||
monkeypatch.setenv("COINHUNTER_HOME", str(tmp_path))
|
||||
paths = external_gate._paths()
|
||||
paths.root.mkdir(parents=True, exist_ok=True)
|
||||
paths.config_file.write_text(json.dumps({
|
||||
"external_gate": {"trigger_command": []}
|
||||
}), encoding="utf-8")
|
||||
cmd = external_gate._resolve_trigger_command(paths)
|
||||
assert cmd is None
|
||||
|
||||
def test_string_gets_wrapped(self, tmp_path, monkeypatch):
|
||||
monkeypatch.setenv("COINHUNTER_HOME", str(tmp_path))
|
||||
paths = external_gate._paths()
|
||||
paths.root.mkdir(parents=True, exist_ok=True)
|
||||
paths.config_file.write_text(json.dumps({
|
||||
"external_gate": {"trigger_command": "my-script.sh"}
|
||||
}), encoding="utf-8")
|
||||
cmd = external_gate._resolve_trigger_command(paths)
|
||||
assert cmd == ["my-script.sh"]
|
||||
|
||||
def test_unexpected_type_returns_none_and_warns(self, tmp_path, monkeypatch, capsys):
|
||||
monkeypatch.setenv("COINHUNTER_HOME", str(tmp_path))
|
||||
paths = external_gate._paths()
|
||||
paths.root.mkdir(parents=True, exist_ok=True)
|
||||
paths.config_file.write_text(json.dumps({
|
||||
"external_gate": {"trigger_command": 42}
|
||||
}), encoding="utf-8")
|
||||
cmd = external_gate._resolve_trigger_command(paths)
|
||||
assert cmd is None
|
||||
|
||||
|
||||
class TestMain:
|
||||
def test_already_running(self, tmp_path, monkeypatch, capsys):
|
||||
monkeypatch.setenv("COINHUNTER_HOME", str(tmp_path))
|
||||
paths = external_gate._paths()
|
||||
paths.state_dir.mkdir(parents=True, exist_ok=True)
|
||||
# Acquire the lock in this process so main() sees it as busy
|
||||
import fcntl
|
||||
with open(paths.external_gate_lock, "w", encoding="utf-8") as f:
|
||||
fcntl.flock(f.fileno(), fcntl.LOCK_EX)
|
||||
rc = external_gate.main()
|
||||
assert rc == 0
|
||||
out = json.loads(capsys.readouterr().out)
|
||||
assert out["reason"] == "already_running"
|
||||
|
||||
def test_precheck_failure(self, tmp_path, monkeypatch, capsys):
|
||||
monkeypatch.setenv("COINHUNTER_HOME", str(tmp_path))
|
||||
paths = external_gate._paths()
|
||||
paths.root.mkdir(parents=True, exist_ok=True)
|
||||
fake_result = MagicMock(returncode=1, stdout="err", stderr="")
|
||||
with patch("coinhunter.commands.external_gate.run_cmd", return_value=fake_result):
|
||||
rc = external_gate.main()
|
||||
assert rc == 1
|
||||
out = json.loads(capsys.readouterr().out)
|
||||
assert out["reason"] == "precheck_failed"
|
||||
|
||||
def test_precheck_parse_error(self, tmp_path, monkeypatch, capsys):
|
||||
monkeypatch.setenv("COINHUNTER_HOME", str(tmp_path))
|
||||
paths = external_gate._paths()
|
||||
paths.root.mkdir(parents=True, exist_ok=True)
|
||||
fake_result = MagicMock(returncode=0, stdout="not-json", stderr="")
|
||||
with patch("coinhunter.commands.external_gate.run_cmd", return_value=fake_result):
|
||||
rc = external_gate.main()
|
||||
assert rc == 1
|
||||
out = json.loads(capsys.readouterr().out)
|
||||
assert out["reason"] == "precheck_parse_error"
|
||||
|
||||
def test_precheck_not_ok(self, tmp_path, monkeypatch, capsys):
|
||||
monkeypatch.setenv("COINHUNTER_HOME", str(tmp_path))
|
||||
paths = external_gate._paths()
|
||||
paths.root.mkdir(parents=True, exist_ok=True)
|
||||
fake_result = MagicMock(returncode=0, stdout=json.dumps({"ok": False}), stderr="")
|
||||
with patch("coinhunter.commands.external_gate.run_cmd", return_value=fake_result):
|
||||
rc = external_gate.main()
|
||||
assert rc == 1
|
||||
out = json.loads(capsys.readouterr().out)
|
||||
assert out["reason"] == "precheck_not_ok"
|
||||
|
||||
def test_no_trigger(self, tmp_path, monkeypatch, capsys):
|
||||
monkeypatch.setenv("COINHUNTER_HOME", str(tmp_path))
|
||||
paths = external_gate._paths()
|
||||
paths.root.mkdir(parents=True, exist_ok=True)
|
||||
fake_result = MagicMock(returncode=0, stdout=json.dumps({"ok": True, "should_analyze": False}), stderr="")
|
||||
with patch("coinhunter.commands.external_gate.run_cmd", return_value=fake_result):
|
||||
rc = external_gate.main()
|
||||
assert rc == 0
|
||||
out = json.loads(capsys.readouterr().out)
|
||||
assert out["reason"] == "no_trigger"
|
||||
|
||||
def test_already_queued(self, tmp_path, monkeypatch, capsys):
|
||||
monkeypatch.setenv("COINHUNTER_HOME", str(tmp_path))
|
||||
paths = external_gate._paths()
|
||||
paths.root.mkdir(parents=True, exist_ok=True)
|
||||
fake_result = MagicMock(
|
||||
returncode=0,
|
||||
stdout=json.dumps({"ok": True, "should_analyze": True, "run_requested": True, "run_requested_at": "2024-01-01T00:00:00Z"}),
|
||||
stderr="",
|
||||
)
|
||||
with patch("coinhunter.commands.external_gate.run_cmd", return_value=fake_result):
|
||||
rc = external_gate.main()
|
||||
assert rc == 0
|
||||
out = json.loads(capsys.readouterr().out)
|
||||
assert out["reason"] == "already_queued"
|
||||
|
||||
def test_trigger_disabled(self, tmp_path, monkeypatch, capsys):
|
||||
monkeypatch.setenv("COINHUNTER_HOME", str(tmp_path))
|
||||
paths = external_gate._paths()
|
||||
paths.root.mkdir(parents=True, exist_ok=True)
|
||||
paths.config_file.write_text(json.dumps({"external_gate": {"trigger_command": None}}), encoding="utf-8")
|
||||
# First call is precheck, second is mark-run-requested
|
||||
responses = [
|
||||
MagicMock(returncode=0, stdout=json.dumps({"ok": True, "should_analyze": True}), stderr=""),
|
||||
MagicMock(returncode=0, stdout=json.dumps({"ok": True}), stderr=""),
|
||||
]
|
||||
with patch("coinhunter.commands.external_gate.run_cmd", side_effect=responses):
|
||||
rc = external_gate.main()
|
||||
assert rc == 0
|
||||
out = json.loads(capsys.readouterr().out)
|
||||
assert out["reason"] == "trigger_disabled"
|
||||
|
||||
def test_trigger_success(self, tmp_path, monkeypatch, capsys):
|
||||
monkeypatch.setenv("COINHUNTER_HOME", str(tmp_path))
|
||||
paths = external_gate._paths()
|
||||
paths.root.mkdir(parents=True, exist_ok=True)
|
||||
paths.config_file.write_text(json.dumps({"external_gate": {"trigger_command": ["echo", "ok"]}}), encoding="utf-8")
|
||||
responses = [
|
||||
MagicMock(returncode=0, stdout=json.dumps({"ok": True, "should_analyze": True, "reasons": ["price-move"]}), stderr=""),
|
||||
MagicMock(returncode=0, stdout=json.dumps({"ok": True}), stderr=""),
|
||||
MagicMock(returncode=0, stdout="triggered", stderr=""),
|
||||
]
|
||||
with patch("coinhunter.commands.external_gate.run_cmd", side_effect=responses):
|
||||
rc = external_gate.main()
|
||||
assert rc == 0
|
||||
out = json.loads(capsys.readouterr().out)
|
||||
assert out["triggered"] is True
|
||||
assert out["reason"] == "price-move"
|
||||
|
||||
def test_trigger_command_failure(self, tmp_path, monkeypatch, capsys):
|
||||
monkeypatch.setenv("COINHUNTER_HOME", str(tmp_path))
|
||||
paths = external_gate._paths()
|
||||
paths.root.mkdir(parents=True, exist_ok=True)
|
||||
paths.config_file.write_text(json.dumps({"external_gate": {"trigger_command": ["false"]}}), encoding="utf-8")
|
||||
responses = [
|
||||
MagicMock(returncode=0, stdout=json.dumps({"ok": True, "should_analyze": True}), stderr=""),
|
||||
MagicMock(returncode=0, stdout=json.dumps({"ok": True}), stderr=""),
|
||||
MagicMock(returncode=1, stdout="", stderr="fail"),
|
||||
]
|
||||
with patch("coinhunter.commands.external_gate.run_cmd", side_effect=responses):
|
||||
rc = external_gate.main()
|
||||
assert rc == 1
|
||||
out = json.loads(capsys.readouterr().out)
|
||||
assert out["reason"] == "trigger_failed"
|
||||
|
||||
def test_mark_run_requested_failure(self, tmp_path, monkeypatch, capsys):
|
||||
monkeypatch.setenv("COINHUNTER_HOME", str(tmp_path))
|
||||
paths = external_gate._paths()
|
||||
paths.root.mkdir(parents=True, exist_ok=True)
|
||||
paths.config_file.write_text(json.dumps({"external_gate": {"trigger_command": ["echo", "ok"]}}), encoding="utf-8")
|
||||
responses = [
|
||||
MagicMock(returncode=0, stdout=json.dumps({"ok": True, "should_analyze": True}), stderr=""),
|
||||
MagicMock(returncode=1, stdout="err", stderr=""),
|
||||
]
|
||||
with patch("coinhunter.commands.external_gate.run_cmd", side_effect=responses):
|
||||
rc = external_gate.main()
|
||||
assert rc == 1
|
||||
out = json.loads(capsys.readouterr().out)
|
||||
assert out["reason"] == "mark_failed"
|
||||
94
tests/test_opportunity_service.py
Normal file
94
tests/test_opportunity_service.py
Normal file
@@ -0,0 +1,94 @@
|
||||
"""Opportunity service tests."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import unittest
|
||||
from unittest.mock import patch
|
||||
|
||||
from coinhunter.services import opportunity_service
|
||||
|
||||
|
||||
class FakeSpotClient:
|
||||
def account_info(self):
|
||||
return {
|
||||
"balances": [
|
||||
{"asset": "USDT", "free": "50", "locked": "0"},
|
||||
{"asset": "BTC", "free": "0.01", "locked": "0"},
|
||||
{"asset": "ETH", "free": "0.5", "locked": "0"},
|
||||
{"asset": "DOGE", "free": "1", "locked": "0"},
|
||||
]
|
||||
}
|
||||
|
||||
def ticker_price(self, symbols=None):
|
||||
mapping = {
|
||||
"BTCUSDT": {"symbol": "BTCUSDT", "price": "60000"},
|
||||
"ETHUSDT": {"symbol": "ETHUSDT", "price": "3000"},
|
||||
"DOGEUSDT": {"symbol": "DOGEUSDT", "price": "0.1"},
|
||||
}
|
||||
return [mapping[symbol] for symbol in symbols]
|
||||
|
||||
def ticker_24h(self, symbols=None):
|
||||
rows = {
|
||||
"BTCUSDT": {"symbol": "BTCUSDT", "lastPrice": "60000", "priceChangePercent": "5", "quoteVolume": "9000000", "highPrice": "60200", "lowPrice": "55000"},
|
||||
"ETHUSDT": {"symbol": "ETHUSDT", "lastPrice": "3000", "priceChangePercent": "3", "quoteVolume": "8000000", "highPrice": "3100", "lowPrice": "2800"},
|
||||
"SOLUSDT": {"symbol": "SOLUSDT", "lastPrice": "150", "priceChangePercent": "8", "quoteVolume": "10000000", "highPrice": "152", "lowPrice": "130"},
|
||||
"DOGEUSDT": {"symbol": "DOGEUSDT", "lastPrice": "0.1", "priceChangePercent": "1", "quoteVolume": "100", "highPrice": "0.11", "lowPrice": "0.09"},
|
||||
}
|
||||
if not symbols:
|
||||
return list(rows.values())
|
||||
return [rows[symbol] for symbol in symbols]
|
||||
|
||||
def exchange_info(self):
|
||||
return {"symbols": [{"symbol": "BTCUSDT", "status": "TRADING"}, {"symbol": "ETHUSDT", "status": "TRADING"}, {"symbol": "SOLUSDT", "status": "TRADING"}, {"symbol": "DOGEUSDT", "status": "TRADING"}]}
|
||||
|
||||
def klines(self, symbol, interval, limit):
|
||||
curves = {
|
||||
"BTCUSDT": [50000, 52000, 54000, 56000, 58000, 59000, 60000],
|
||||
"ETHUSDT": [2600, 2650, 2700, 2800, 2900, 2950, 3000],
|
||||
"SOLUSDT": [120, 125, 130, 135, 140, 145, 150],
|
||||
"DOGEUSDT": [0.11, 0.108, 0.105, 0.103, 0.102, 0.101, 0.1],
|
||||
}[symbol]
|
||||
rows = []
|
||||
for index, close in enumerate(curves[-limit:]):
|
||||
rows.append([index, close * 0.98, close * 1.01, close * 0.97, close, 100 + index * 10, index + 1, close * (100 + index * 10)])
|
||||
return rows
|
||||
|
||||
|
||||
class OpportunityServiceTestCase(unittest.TestCase):
|
||||
def setUp(self):
|
||||
self.config = {
|
||||
"market": {"default_quote": "USDT", "universe_allowlist": [], "universe_denylist": []},
|
||||
"trading": {"dust_usdt_threshold": 10.0},
|
||||
"opportunity": {
|
||||
"scan_limit": 10,
|
||||
"top_n": 5,
|
||||
"min_quote_volume": 1000.0,
|
||||
"weights": {
|
||||
"trend": 1.0,
|
||||
"momentum": 1.0,
|
||||
"breakout": 0.8,
|
||||
"volume": 0.7,
|
||||
"volatility_penalty": 0.5,
|
||||
"position_concentration_penalty": 0.6,
|
||||
},
|
||||
},
|
||||
}
|
||||
|
||||
def test_portfolio_analysis_ignores_dust_and_emits_recommendations(self):
|
||||
events = []
|
||||
with patch.object(opportunity_service, "audit_event", side_effect=lambda event, payload: events.append(event)):
|
||||
payload = opportunity_service.analyze_portfolio(self.config, spot_client=FakeSpotClient())
|
||||
symbols = [item["symbol"] for item in payload["recommendations"]]
|
||||
self.assertNotIn("DOGEUSDT", symbols)
|
||||
self.assertEqual(symbols, ["BTCUSDT", "ETHUSDT"])
|
||||
self.assertEqual(events, ["opportunity_portfolio_generated"])
|
||||
|
||||
def test_scan_is_deterministic(self):
|
||||
with patch.object(opportunity_service, "audit_event", return_value=None):
|
||||
payload = opportunity_service.scan_opportunities(self.config | {"opportunity": self.config["opportunity"] | {"top_n": 2}}, spot_client=FakeSpotClient())
|
||||
self.assertEqual([item["symbol"] for item in payload["recommendations"]], ["SOLUSDT", "BTCUSDT"])
|
||||
|
||||
def test_score_candidate_handles_empty_klines(self):
|
||||
score, metrics = opportunity_service._score_candidate([], [], {"price_change_pct": 1.0}, {}, 0.0)
|
||||
self.assertEqual(score, 0.0)
|
||||
self.assertEqual(metrics["trend"], 0.0)
|
||||
@@ -1,194 +0,0 @@
|
||||
"""Tests for review_service."""
|
||||
|
||||
import json
|
||||
from pathlib import Path
|
||||
from unittest.mock import patch
|
||||
|
||||
from coinhunter.services import review_service as rs
|
||||
|
||||
|
||||
class TestAnalyzeTrade:
|
||||
def test_buy_good_when_price_up(self):
|
||||
ex = None
|
||||
trade = {"symbol": "BTC/USDT", "price": 50000.0, "action": "BUY"}
|
||||
with patch.object(rs, "fetch_current_price", return_value=52000.0):
|
||||
result = rs.analyze_trade(trade, ex)
|
||||
assert result["action"] == "BUY"
|
||||
assert result["pnl_estimate_pct"] == 4.0
|
||||
assert result["outcome_assessment"] == "good"
|
||||
|
||||
def test_buy_bad_when_price_down(self):
|
||||
trade = {"symbol": "BTC/USDT", "price": 50000.0, "action": "BUY"}
|
||||
with patch.object(rs, "fetch_current_price", return_value=48000.0):
|
||||
result = rs.analyze_trade(trade, None)
|
||||
assert result["pnl_estimate_pct"] == -4.0
|
||||
assert result["outcome_assessment"] == "bad"
|
||||
|
||||
def test_sell_all_missed_when_price_up(self):
|
||||
trade = {"symbol": "BTC/USDT", "price": 50000.0, "action": "SELL_ALL"}
|
||||
with patch.object(rs, "fetch_current_price", return_value=53000.0):
|
||||
result = rs.analyze_trade(trade, None)
|
||||
assert result["pnl_estimate_pct"] == -6.0
|
||||
assert result["outcome_assessment"] == "missed"
|
||||
|
||||
def test_neutral_when_small_move(self):
|
||||
trade = {"symbol": "BTC/USDT", "price": 50000.0, "action": "BUY"}
|
||||
with patch.object(rs, "fetch_current_price", return_value=50100.0):
|
||||
result = rs.analyze_trade(trade, None)
|
||||
assert result["outcome_assessment"] == "neutral"
|
||||
|
||||
def test_none_when_no_price(self):
|
||||
trade = {"symbol": "BTC/USDT", "action": "BUY"}
|
||||
result = rs.analyze_trade(trade, None)
|
||||
assert result["pnl_estimate_pct"] is None
|
||||
assert result["outcome_assessment"] == "neutral"
|
||||
|
||||
|
||||
class TestAnalyzeHoldPasses:
|
||||
def test_finds_passed_opportunities_that_rise(self):
|
||||
decisions = [
|
||||
{
|
||||
"timestamp": "2024-01-01T00:00:00Z",
|
||||
"decision": "HOLD",
|
||||
"analysis": {"opportunities_evaluated": [{"symbol": "ETH/USDT", "verdict": "PASS"}]},
|
||||
"market_snapshot": {"ETHUSDT": {"lastPrice": 100.0}},
|
||||
}
|
||||
]
|
||||
with patch.object(rs, "fetch_current_price", return_value=110.0):
|
||||
result = rs.analyze_hold_passes(decisions, None)
|
||||
assert len(result) == 1
|
||||
assert result[0]["symbol"] == "ETH/USDT"
|
||||
assert result[0]["change_pct"] == 10.0
|
||||
|
||||
def test_ignores_non_pass_verdicts(self):
|
||||
decisions = [
|
||||
{
|
||||
"decision": "HOLD",
|
||||
"analysis": {"opportunities_evaluated": [{"symbol": "ETH/USDT", "verdict": "BUY"}]},
|
||||
"market_snapshot": {"ETHUSDT": {"lastPrice": 100.0}},
|
||||
}
|
||||
]
|
||||
with patch.object(rs, "fetch_current_price", return_value=110.0):
|
||||
result = rs.analyze_hold_passes(decisions, None)
|
||||
assert result == []
|
||||
|
||||
def test_ignores_small_moves(self):
|
||||
decisions = [
|
||||
{
|
||||
"decision": "HOLD",
|
||||
"analysis": {"opportunities_evaluated": [{"symbol": "ETH/USDT", "verdict": "PASS"}]},
|
||||
"market_snapshot": {"ETHUSDT": {"lastPrice": 100.0}},
|
||||
}
|
||||
]
|
||||
with patch.object(rs, "fetch_current_price", return_value=102.0):
|
||||
result = rs.analyze_hold_passes(decisions, None)
|
||||
assert result == []
|
||||
|
||||
|
||||
class TestAnalyzeCashMisses:
|
||||
def test_finds_cash_sit_misses(self):
|
||||
decisions = [
|
||||
{
|
||||
"timestamp": "2024-01-01T00:00:00Z",
|
||||
"balances": {"USDT": 100.0},
|
||||
"market_snapshot": {"BTCUSDT": {"lastPrice": 50000.0}},
|
||||
}
|
||||
]
|
||||
with patch.object(rs, "fetch_current_price", return_value=54000.0):
|
||||
result = rs.analyze_cash_misses(decisions, None)
|
||||
assert len(result) == 1
|
||||
assert result[0]["symbol"] == "BTCUSDT"
|
||||
assert result[0]["change_pct"] == 8.0
|
||||
|
||||
def test_requires_mostly_usdt(self):
|
||||
decisions = [
|
||||
{
|
||||
"balances": {"USDT": 10.0, "BTC": 90.0},
|
||||
"market_snapshot": {"ETHUSDT": {"lastPrice": 100.0}},
|
||||
}
|
||||
]
|
||||
with patch.object(rs, "fetch_current_price", return_value=200.0):
|
||||
result = rs.analyze_cash_misses(decisions, None)
|
||||
assert result == []
|
||||
|
||||
def test_dedupes_by_best_change(self):
|
||||
decisions = [
|
||||
{
|
||||
"timestamp": "2024-01-01T00:00:00Z",
|
||||
"balances": {"USDT": 100.0},
|
||||
"market_snapshot": {"BTCUSDT": {"lastPrice": 50000.0}},
|
||||
},
|
||||
{
|
||||
"timestamp": "2024-01-01T01:00:00Z",
|
||||
"balances": {"USDT": 100.0},
|
||||
"market_snapshot": {"BTCUSDT": {"lastPrice": 52000.0}},
|
||||
},
|
||||
]
|
||||
with patch.object(rs, "fetch_current_price", return_value=56000.0):
|
||||
result = rs.analyze_cash_misses(decisions, None)
|
||||
assert len(result) == 1
|
||||
# best change is from 50000 -> 56000 = 12%
|
||||
assert result[0]["change_pct"] == 12.0
|
||||
|
||||
|
||||
class TestGenerateReview:
|
||||
def test_empty_period(self, monkeypatch):
|
||||
monkeypatch.setattr(rs, "get_logs_last_n_hours", lambda log_type, hours: [])
|
||||
review = rs.generate_review(1)
|
||||
assert review["total_decisions"] == 0
|
||||
assert review["total_trades"] == 0
|
||||
assert any("No decisions or trades" in i for i in review["insights"])
|
||||
|
||||
def test_with_trades_and_decisions(self, monkeypatch):
|
||||
trades = [
|
||||
{"symbol": "BTC/USDT", "price": 50000.0, "action": "BUY", "timestamp": "2024-01-01T00:00:00Z"}
|
||||
]
|
||||
decisions = [
|
||||
{
|
||||
"timestamp": "2024-01-01T00:00:00Z",
|
||||
"decision": "HOLD",
|
||||
"analysis": {"opportunities_evaluated": [{"symbol": "ETH/USDT", "verdict": "PASS"}]},
|
||||
"market_snapshot": {"ETHUSDT": {"lastPrice": 100.0}},
|
||||
}
|
||||
]
|
||||
errors = [{"message": "oops"}]
|
||||
|
||||
def _logs(log_type, hours):
|
||||
return {"decisions": decisions, "trades": trades, "errors": errors}.get(log_type, [])
|
||||
|
||||
monkeypatch.setattr(rs, "get_logs_last_n_hours", _logs)
|
||||
monkeypatch.setattr(rs, "fetch_current_price", lambda ex, sym: 110.0 if "ETH" in sym else 52000.0)
|
||||
review = rs.generate_review(1)
|
||||
assert review["total_trades"] == 1
|
||||
assert review["total_decisions"] == 1
|
||||
assert review["stats"]["good_decisions"] == 1
|
||||
assert review["stats"]["missed_hold_passes"] == 1
|
||||
assert any("execution/system errors" in i for i in review["insights"])
|
||||
|
||||
|
||||
class TestSaveReview:
|
||||
def test_writes_file(self, tmp_path, monkeypatch):
|
||||
monkeypatch.setenv("COINHUNTER_HOME", str(tmp_path))
|
||||
review = {"review_timestamp": "2024-01-01T00:00:00+08:00", "review_period_hours": 1}
|
||||
path = rs.save_review(review)
|
||||
saved = json.loads(Path(path).read_text(encoding="utf-8"))
|
||||
assert saved["review_period_hours"] == 1
|
||||
|
||||
|
||||
class TestPrintReview:
|
||||
def test_outputs_report(self, capsys):
|
||||
review = {
|
||||
"review_timestamp": "2024-01-01T00:00:00+08:00",
|
||||
"review_period_hours": 1,
|
||||
"total_decisions": 2,
|
||||
"total_trades": 1,
|
||||
"total_errors": 0,
|
||||
"stats": {"good_decisions": 1, "neutral_decisions": 0, "bad_decisions": 0, "missed_opportunities": 0},
|
||||
"insights": ["Insight A"],
|
||||
"recommendations": ["Rec B"],
|
||||
}
|
||||
rs.print_review(review)
|
||||
captured = capsys.readouterr()
|
||||
assert "Coin Hunter Review Report" in captured.out
|
||||
assert "Insight A" in captured.out
|
||||
assert "Rec B" in captured.out
|
||||
@@ -1,63 +0,0 @@
|
||||
"""Tests for runtime path resolution."""
|
||||
|
||||
from pathlib import Path
|
||||
|
||||
import pytest
|
||||
|
||||
from coinhunter.runtime import RuntimePaths, ensure_runtime_dirs, get_runtime_paths, mask_secret
|
||||
|
||||
|
||||
class TestGetRuntimePaths:
|
||||
def test_defaults_point_to_home_dot_coinhunter(self):
|
||||
paths = get_runtime_paths()
|
||||
assert paths.root == Path.home() / ".coinhunter"
|
||||
|
||||
def test_respects_coinhunter_home_env(self, monkeypatch):
|
||||
monkeypatch.setenv("COINHUNTER_HOME", "~/custom_ch")
|
||||
paths = get_runtime_paths()
|
||||
assert paths.root == Path.home() / "custom_ch"
|
||||
|
||||
def test_respects_hermes_home_env(self, monkeypatch):
|
||||
monkeypatch.setenv("HERMES_HOME", "~/custom_hermes")
|
||||
paths = get_runtime_paths()
|
||||
assert paths.hermes_home == Path.home() / "custom_hermes"
|
||||
assert paths.env_file == Path.home() / "custom_hermes" / ".env"
|
||||
|
||||
def test_returns_frozen_dataclass(self):
|
||||
paths = get_runtime_paths()
|
||||
assert isinstance(paths, RuntimePaths)
|
||||
with pytest.raises(AttributeError):
|
||||
paths.root = Path("/tmp")
|
||||
|
||||
def test_as_dict_returns_strings(self):
|
||||
paths = get_runtime_paths()
|
||||
d = paths.as_dict()
|
||||
assert isinstance(d, dict)
|
||||
assert all(isinstance(v, str) for v in d.values())
|
||||
assert "root" in d
|
||||
|
||||
|
||||
class TestEnsureRuntimeDirs:
|
||||
def test_creates_directories(self, tmp_path, monkeypatch):
|
||||
monkeypatch.setenv("COINHUNTER_HOME", str(tmp_path))
|
||||
paths = get_runtime_paths()
|
||||
returned = ensure_runtime_dirs(paths)
|
||||
assert returned.root.exists()
|
||||
assert returned.state_dir.exists()
|
||||
assert returned.logs_dir.exists()
|
||||
assert returned.cache_dir.exists()
|
||||
assert returned.reviews_dir.exists()
|
||||
|
||||
|
||||
class TestMaskSecret:
|
||||
def test_empty_string(self):
|
||||
assert mask_secret("") == ""
|
||||
|
||||
def test_short_value(self):
|
||||
assert mask_secret("ab") == "**"
|
||||
|
||||
def test_masks_all_but_tail(self):
|
||||
assert mask_secret("supersecret", tail=4) == "*******cret"
|
||||
|
||||
def test_none_returns_empty(self):
|
||||
assert mask_secret(None) == ""
|
||||
@@ -1,98 +0,0 @@
|
||||
"""Tests for smart executor deduplication and routing."""
|
||||
|
||||
|
||||
from coinhunter.services import exchange_service
|
||||
from coinhunter.services import smart_executor_service as ses
|
||||
|
||||
|
||||
class FakeArgs:
|
||||
def __init__(self, command="buy", symbol="BTCUSDT", amount_usdt=50, dry_run=False,
|
||||
decision_id=None, analysis=None, reasoning=None, order_id=None,
|
||||
from_symbol=None, to_symbol=None):
|
||||
self.command = command
|
||||
self.symbol = symbol
|
||||
self.amount_usdt = amount_usdt
|
||||
self.dry_run = dry_run
|
||||
self.decision_id = decision_id
|
||||
self.analysis = analysis
|
||||
self.reasoning = reasoning
|
||||
self.order_id = order_id
|
||||
self.from_symbol = from_symbol
|
||||
self.to_symbol = to_symbol
|
||||
|
||||
|
||||
class TestDeduplication:
|
||||
def test_skips_duplicate_mutating_action(self, monkeypatch, capsys):
|
||||
monkeypatch.setattr(ses, "parse_cli_args", lambda argv: (FakeArgs(command="buy"), ["BTCUSDT", "50"]))
|
||||
monkeypatch.setattr(ses, "get_execution_state", lambda did: {"status": "success"})
|
||||
get_exchange_calls = []
|
||||
monkeypatch.setattr(exchange_service, "get_exchange", lambda: get_exchange_calls.append(1) or "ex")
|
||||
|
||||
result = ses.run(["buy", "BTCUSDT", "50"])
|
||||
assert result == 0
|
||||
assert get_exchange_calls == []
|
||||
captured = capsys.readouterr()
|
||||
assert "already executed successfully" in captured.err
|
||||
|
||||
def test_allows_duplicate_read_only_action(self, monkeypatch):
|
||||
monkeypatch.setattr(ses, "parse_cli_args", lambda argv: (FakeArgs(command="balances"), ["balances"]))
|
||||
monkeypatch.setattr(ses, "get_execution_state", lambda did: {"status": "success"})
|
||||
monkeypatch.setattr(ses, "command_balances", lambda ex: None)
|
||||
get_exchange_calls = []
|
||||
monkeypatch.setattr(exchange_service, "get_exchange", lambda: get_exchange_calls.append(1) or "ex")
|
||||
|
||||
result = ses.run(["bal"])
|
||||
assert result == 0
|
||||
assert len(get_exchange_calls) == 1
|
||||
|
||||
def test_allows_retry_after_failure(self, monkeypatch):
|
||||
monkeypatch.setattr(ses, "parse_cli_args", lambda argv: (FakeArgs(command="buy"), ["BTCUSDT", "50"]))
|
||||
monkeypatch.setattr(ses, "get_execution_state", lambda did: {"status": "failed"})
|
||||
monkeypatch.setattr(ses, "record_execution_state", lambda did, state: None)
|
||||
monkeypatch.setattr(ses, "build_decision_context", lambda ex, action, tail, did: {})
|
||||
monkeypatch.setattr(ses, "action_buy", lambda *a, **k: {"id": "123"})
|
||||
monkeypatch.setattr(ses, "print_json", lambda d: None)
|
||||
get_exchange_calls = []
|
||||
monkeypatch.setattr(exchange_service, "get_exchange", lambda: get_exchange_calls.append(1) or "ex")
|
||||
|
||||
result = ses.run(["buy", "BTCUSDT", "50"])
|
||||
assert result == 0
|
||||
assert len(get_exchange_calls) == 1
|
||||
|
||||
|
||||
class TestReadOnlyRouting:
|
||||
def test_routes_balances(self, monkeypatch):
|
||||
monkeypatch.setattr(ses, "parse_cli_args", lambda argv: (FakeArgs(command="balances"), ["balances"]))
|
||||
monkeypatch.setattr(ses, "get_execution_state", lambda did: None)
|
||||
routed = []
|
||||
monkeypatch.setattr(ses, "command_balances", lambda ex: routed.append("balances"))
|
||||
monkeypatch.setattr(exchange_service, "get_exchange", lambda: "ex")
|
||||
|
||||
result = ses.run(["balances"])
|
||||
assert result == 0
|
||||
assert routed == ["balances"]
|
||||
|
||||
def test_routes_orders(self, monkeypatch):
|
||||
monkeypatch.setattr(ses, "parse_cli_args", lambda argv: (FakeArgs(command="orders"), ["orders"]))
|
||||
monkeypatch.setattr(ses, "get_execution_state", lambda did: None)
|
||||
routed = []
|
||||
monkeypatch.setattr(ses, "command_orders", lambda ex: routed.append("orders"))
|
||||
monkeypatch.setattr(exchange_service, "get_exchange", lambda: "ex")
|
||||
|
||||
result = ses.run(["orders"])
|
||||
assert result == 0
|
||||
assert routed == ["orders"]
|
||||
|
||||
def test_routes_order_status(self, monkeypatch):
|
||||
monkeypatch.setattr(ses, "parse_cli_args", lambda argv: (
|
||||
FakeArgs(command="order-status", symbol="BTCUSDT", order_id="123"),
|
||||
["order-status", "BTCUSDT", "123"]
|
||||
))
|
||||
monkeypatch.setattr(ses, "get_execution_state", lambda did: None)
|
||||
routed = []
|
||||
monkeypatch.setattr(ses, "command_order_status", lambda ex, sym, oid: routed.append((sym, oid)))
|
||||
monkeypatch.setattr(exchange_service, "get_exchange", lambda: "ex")
|
||||
|
||||
result = ses.run(["order-status", "BTCUSDT", "123"])
|
||||
assert result == 0
|
||||
assert routed == [("BTCUSDT", "123")]
|
||||
@@ -1,99 +0,0 @@
|
||||
"""Tests for state_manager precheck utilities."""
|
||||
|
||||
from datetime import timedelta, timezone
|
||||
|
||||
from coinhunter.services.state_manager import (
|
||||
clear_run_request_fields,
|
||||
sanitize_state_for_stale_triggers,
|
||||
update_state_after_observation,
|
||||
)
|
||||
from coinhunter.services.time_utils import utc_iso, utc_now
|
||||
|
||||
|
||||
class TestClearRunRequestFields:
|
||||
def test_removes_run_fields(self):
|
||||
state = {"run_requested_at": utc_iso(), "run_request_note": "test"}
|
||||
clear_run_request_fields(state)
|
||||
assert "run_requested_at" not in state
|
||||
assert "run_request_note" not in state
|
||||
|
||||
|
||||
class TestSanitizeStateForStaleTriggers:
|
||||
def test_no_changes_when_clean(self):
|
||||
state = {"pending_trigger": False}
|
||||
result = sanitize_state_for_stale_triggers(state)
|
||||
assert result["pending_trigger"] is False
|
||||
assert result["_stale_recovery_notes"] == []
|
||||
|
||||
def test_clears_completed_run_request(self):
|
||||
state = {
|
||||
"pending_trigger": True,
|
||||
"run_requested_at": utc_iso(),
|
||||
"last_deep_analysis_at": utc_iso(),
|
||||
}
|
||||
result = sanitize_state_for_stale_triggers(state)
|
||||
assert result["pending_trigger"] is False
|
||||
assert "run_requested_at" not in result
|
||||
assert any("completed run_requested" in note for note in result["_stale_recovery_notes"])
|
||||
|
||||
def test_clears_stale_run_request(self):
|
||||
old = (utc_now() - timedelta(minutes=60)).replace(tzinfo=timezone.utc).isoformat()
|
||||
state = {
|
||||
"pending_trigger": False,
|
||||
"run_requested_at": old,
|
||||
}
|
||||
result = sanitize_state_for_stale_triggers(state)
|
||||
assert "run_requested_at" not in result
|
||||
assert any("stale run_requested" in note for note in result["_stale_recovery_notes"])
|
||||
|
||||
def test_recovers_stale_pending_trigger(self):
|
||||
old = (utc_now() - timedelta(minutes=60)).replace(tzinfo=timezone.utc).isoformat()
|
||||
state = {
|
||||
"pending_trigger": True,
|
||||
"last_triggered_at": old,
|
||||
}
|
||||
result = sanitize_state_for_stale_triggers(state)
|
||||
assert result["pending_trigger"] is False
|
||||
assert any("stale pending_trigger" in note for note in result["_stale_recovery_notes"])
|
||||
|
||||
|
||||
class TestUpdateStateAfterObservation:
|
||||
def test_updates_last_observed_fields(self):
|
||||
state = {}
|
||||
snapshot = {
|
||||
"generated_at": "2024-01-01T00:00:00Z",
|
||||
"snapshot_hash": "abc",
|
||||
"positions_hash": "pos123",
|
||||
"candidates_hash": "can456",
|
||||
"portfolio_value_usdt": 100.0,
|
||||
"market_regime": "neutral",
|
||||
"positions": [],
|
||||
"top_candidates": [],
|
||||
}
|
||||
analysis = {"should_analyze": False, "details": [], "adaptive_profile": {}}
|
||||
result = update_state_after_observation(state, snapshot, analysis)
|
||||
assert result["last_observed_at"] == snapshot["generated_at"]
|
||||
assert result["last_snapshot_hash"] == "abc"
|
||||
|
||||
def test_sets_pending_trigger_when_should_analyze(self):
|
||||
state = {}
|
||||
snapshot = {
|
||||
"generated_at": "2024-01-01T00:00:00Z",
|
||||
"snapshot_hash": "abc",
|
||||
"positions_hash": "pos123",
|
||||
"candidates_hash": "can456",
|
||||
"portfolio_value_usdt": 100.0,
|
||||
"market_regime": "neutral",
|
||||
"positions": [],
|
||||
"top_candidates": [],
|
||||
}
|
||||
analysis = {
|
||||
"should_analyze": True,
|
||||
"details": ["price move"],
|
||||
"adaptive_profile": {},
|
||||
"hard_reasons": ["moon"],
|
||||
"signal_delta": 1.5,
|
||||
}
|
||||
result = update_state_after_observation(state, snapshot, analysis)
|
||||
assert result["pending_trigger"] is True
|
||||
assert result["pending_reasons"] == ["price move"]
|
||||
@@ -1,160 +0,0 @@
|
||||
"""Tests for trade execution dry-run paths."""
|
||||
|
||||
import pytest
|
||||
|
||||
from coinhunter.services import trade_execution as te
|
||||
from coinhunter.services.trade_common import set_dry_run
|
||||
|
||||
|
||||
class TestMarketSellDryRun:
|
||||
def test_returns_dry_run_order(self, monkeypatch):
|
||||
set_dry_run(True)
|
||||
monkeypatch.setattr(
|
||||
te, "prepare_sell_quantity",
|
||||
lambda ex, sym, qty: ("BTC/USDT", 0.5, 60000.0, 30000.0)
|
||||
)
|
||||
order = te.market_sell(None, "BTCUSDT", 0.5, "dec-123")
|
||||
assert order["id"] == "dry-sell-dec-123"
|
||||
assert order["symbol"] == "BTC/USDT"
|
||||
assert order["amount"] == 0.5
|
||||
assert order["status"] == "closed"
|
||||
set_dry_run(False)
|
||||
|
||||
|
||||
class TestMarketBuyDryRun:
|
||||
def test_returns_dry_run_order(self, monkeypatch):
|
||||
set_dry_run(True)
|
||||
monkeypatch.setattr(
|
||||
te, "prepare_buy_quantity",
|
||||
lambda ex, sym, amt: ("ETH/USDT", 1.0, 3000.0, 3000.0)
|
||||
)
|
||||
order = te.market_buy(None, "ETHUSDT", 100, "dec-456")
|
||||
assert order["id"] == "dry-buy-dec-456"
|
||||
assert order["symbol"] == "ETH/USDT"
|
||||
assert order["amount"] == 1.0
|
||||
assert order["status"] == "closed"
|
||||
set_dry_run(False)
|
||||
|
||||
|
||||
class TestActionSellAll:
|
||||
def test_raises_when_balance_zero(self, monkeypatch):
|
||||
monkeypatch.setattr(te, "fetch_balances", lambda ex: {"BTC": 0})
|
||||
with pytest.raises(RuntimeError, match="balance is zero"):
|
||||
te.action_sell_all(None, "BTCUSDT", "dec-789", {})
|
||||
|
||||
def test_dry_run_does_not_reconcile(self, monkeypatch):
|
||||
set_dry_run(True)
|
||||
monkeypatch.setattr(te, "fetch_balances", lambda ex: {"BTC": 0.5})
|
||||
monkeypatch.setattr(
|
||||
te, "market_sell",
|
||||
lambda ex, sym, qty, did: {"id": "dry-1", "amount": qty, "price": 60000.0, "cost": 30000.0, "status": "closed"}
|
||||
)
|
||||
monkeypatch.setattr(te, "reconcile_positions_with_exchange", lambda ex, hint=None: ([], {}))
|
||||
monkeypatch.setattr(te, "log_trade", lambda *a, **k: None)
|
||||
monkeypatch.setattr(te, "log_decision", lambda *a, **k: None)
|
||||
|
||||
result = te.action_sell_all(None, "BTCUSDT", "dec-789", {"analysis": "test"})
|
||||
assert result["id"] == "dry-1"
|
||||
set_dry_run(False)
|
||||
|
||||
|
||||
class TestActionBuy:
|
||||
def test_raises_when_insufficient_usdt(self, monkeypatch):
|
||||
monkeypatch.setattr(te, "fetch_balances", lambda ex: {"USDT": 10.0})
|
||||
with pytest.raises(RuntimeError, match="Insufficient USDT"):
|
||||
te.action_buy(None, "BTCUSDT", 50, "dec-abc", {})
|
||||
|
||||
def test_dry_run_skips_save(self, monkeypatch):
|
||||
set_dry_run(True)
|
||||
monkeypatch.setattr(te, "fetch_balances", lambda ex: {"USDT": 100.0})
|
||||
monkeypatch.setattr(
|
||||
te, "market_buy",
|
||||
lambda ex, sym, amt, did: {"id": "dry-2", "amount": 0.01, "price": 50000.0, "cost": 500.0, "status": "closed"}
|
||||
)
|
||||
monkeypatch.setattr(te, "load_positions", lambda: [])
|
||||
monkeypatch.setattr(te, "upsert_position", lambda positions, pos: positions.append(pos))
|
||||
monkeypatch.setattr(te, "reconcile_positions_with_exchange", lambda ex, hint=None: ([], {}))
|
||||
monkeypatch.setattr(te, "log_trade", lambda *a, **k: None)
|
||||
monkeypatch.setattr(te, "log_decision", lambda *a, **k: None)
|
||||
|
||||
result = te.action_buy(None, "BTCUSDT", 50, "dec-abc", {})
|
||||
assert result["id"] == "dry-2"
|
||||
set_dry_run(False)
|
||||
|
||||
|
||||
class TestCommandBalances:
|
||||
def test_returns_balances(self, monkeypatch, capsys):
|
||||
monkeypatch.setattr(te, "fetch_balances", lambda ex: {"USDT": 100.0, "BTC": 0.5})
|
||||
result = te.command_balances(None)
|
||||
assert result == {"USDT": 100.0, "BTC": 0.5}
|
||||
captured = capsys.readouterr()
|
||||
assert '"USDT": 100.0' in captured.out
|
||||
|
||||
|
||||
class TestCommandStatus:
|
||||
def test_returns_snapshot(self, monkeypatch, capsys):
|
||||
monkeypatch.setattr(te, "fetch_balances", lambda ex: {"USDT": 100.0})
|
||||
monkeypatch.setattr(te, "load_positions", lambda: [])
|
||||
monkeypatch.setattr(te, "build_market_snapshot", lambda ex: {"BTC/USDT": 50000.0})
|
||||
result = te.command_status(None)
|
||||
assert result["balances"]["USDT"] == 100.0
|
||||
captured = capsys.readouterr()
|
||||
assert '"balances"' in captured.out
|
||||
|
||||
|
||||
class TestCommandOrders:
|
||||
def test_returns_orders(self, monkeypatch, capsys):
|
||||
orders = [{"id": "1", "symbol": "BTC/USDT"}]
|
||||
monkeypatch.setattr(te, "print_json", lambda d: None)
|
||||
ex = type("Ex", (), {"fetch_open_orders": lambda self: orders})()
|
||||
result = te.command_orders(ex)
|
||||
assert result == orders
|
||||
|
||||
|
||||
class TestCommandOrderStatus:
|
||||
def test_returns_order(self, monkeypatch, capsys):
|
||||
order = {"id": "123", "status": "open"}
|
||||
monkeypatch.setattr(te, "print_json", lambda d: None)
|
||||
ex = type("Ex", (), {"fetch_order": lambda self, oid, sym: order})()
|
||||
result = te.command_order_status(ex, "BTCUSDT", "123")
|
||||
assert result == order
|
||||
|
||||
|
||||
class TestCommandCancel:
|
||||
def test_dry_run_returns_early(self, monkeypatch):
|
||||
set_dry_run(True)
|
||||
monkeypatch.setattr(te, "log", lambda msg: None)
|
||||
result = te.command_cancel(None, "BTCUSDT", "123")
|
||||
assert result["dry_run"] is True
|
||||
set_dry_run(False)
|
||||
|
||||
def test_cancel_by_order_id(self, monkeypatch):
|
||||
set_dry_run(False)
|
||||
monkeypatch.setattr(te, "print_json", lambda d: None)
|
||||
ex = type("Ex", (), {"cancel_order": lambda self, oid, sym: {"id": oid, "status": "canceled"}})()
|
||||
result = te.command_cancel(ex, "BTCUSDT", "123")
|
||||
assert result["status"] == "canceled"
|
||||
|
||||
def test_cancel_latest_when_no_order_id(self, monkeypatch):
|
||||
set_dry_run(False)
|
||||
monkeypatch.setattr(te, "print_json", lambda d: None)
|
||||
ex = type("Ex", (), {
|
||||
"fetch_open_orders": lambda self, sym: [{"id": "999"}, {"id": "888"}],
|
||||
"cancel_order": lambda self, oid, sym: {"id": oid, "status": "canceled"},
|
||||
})()
|
||||
result = te.command_cancel(ex, "BTCUSDT", None)
|
||||
assert result["id"] == "888"
|
||||
|
||||
def test_cancel_raises_when_no_open_orders(self, monkeypatch):
|
||||
set_dry_run(False)
|
||||
ex = type("Ex", (), {"fetch_open_orders": lambda self, sym: []})()
|
||||
with pytest.raises(RuntimeError, match="No open orders"):
|
||||
te.command_cancel(ex, "BTCUSDT", None)
|
||||
|
||||
|
||||
class TestPrintJson:
|
||||
def test_outputs_sorted_json(self, capsys):
|
||||
te.print_json({"b": 2, "a": 1})
|
||||
captured = capsys.readouterr()
|
||||
assert '"a": 1' in captured.out
|
||||
assert '"b": 2' in captured.out
|
||||
124
tests/test_trade_service.py
Normal file
124
tests/test_trade_service.py
Normal file
@@ -0,0 +1,124 @@
|
||||
"""Trade execution tests."""
|
||||
|
||||
from __future__ import annotations
|
||||
|
||||
import unittest
|
||||
from unittest.mock import patch
|
||||
|
||||
from coinhunter.services import trade_service
|
||||
|
||||
|
||||
class FakeSpotClient:
|
||||
def __init__(self):
|
||||
self.calls = []
|
||||
|
||||
def new_order(self, **kwargs):
|
||||
self.calls.append(kwargs)
|
||||
return {"symbol": kwargs["symbol"], "status": "FILLED", "orderId": 1}
|
||||
|
||||
|
||||
class FakeFuturesClient:
|
||||
def __init__(self):
|
||||
self.calls = []
|
||||
|
||||
def new_order(self, **kwargs):
|
||||
self.calls.append(kwargs)
|
||||
return {"symbol": kwargs["symbol"], "status": "FILLED", "orderId": 2}
|
||||
|
||||
def position_risk(self, symbol=None):
|
||||
return [{"symbol": "BTCUSDT", "positionAmt": "-0.02", "notional": "-1200"}]
|
||||
|
||||
|
||||
class TradeServiceTestCase(unittest.TestCase):
|
||||
def test_spot_market_buy_dry_run_does_not_call_client(self):
|
||||
events = []
|
||||
with patch.object(trade_service, "audit_event", side_effect=lambda event, payload: events.append((event, payload))):
|
||||
client = FakeSpotClient()
|
||||
payload = trade_service.execute_spot_trade(
|
||||
{"trading": {"dry_run_default": False}},
|
||||
side="buy",
|
||||
symbol="btc/usdt",
|
||||
qty=None,
|
||||
quote=100,
|
||||
order_type="market",
|
||||
price=None,
|
||||
dry_run=True,
|
||||
spot_client=client,
|
||||
)
|
||||
self.assertEqual(payload["trade"]["status"], "DRY_RUN")
|
||||
self.assertEqual(client.calls, [])
|
||||
self.assertEqual([event for event, _ in events], ["trade_submitted", "trade_filled"])
|
||||
|
||||
def test_spot_limit_sell_maps_payload(self):
|
||||
with patch.object(trade_service, "audit_event", return_value=None):
|
||||
client = FakeSpotClient()
|
||||
payload = trade_service.execute_spot_trade(
|
||||
{"trading": {"dry_run_default": False}},
|
||||
side="sell",
|
||||
symbol="BTCUSDT",
|
||||
qty=0.1,
|
||||
quote=None,
|
||||
order_type="limit",
|
||||
price=90000,
|
||||
dry_run=False,
|
||||
spot_client=client,
|
||||
)
|
||||
self.assertEqual(payload["trade"]["status"], "FILLED")
|
||||
self.assertEqual(client.calls[0]["timeInForce"], "GTC")
|
||||
|
||||
def test_futures_close_uses_opposite_side(self):
|
||||
with patch.object(trade_service, "audit_event", return_value=None):
|
||||
client = FakeFuturesClient()
|
||||
payload = trade_service.close_futures_position(
|
||||
{"trading": {"dry_run_default": False}},
|
||||
symbol="BTCUSDT",
|
||||
dry_run=False,
|
||||
futures_client=client,
|
||||
)
|
||||
self.assertEqual(payload["trade"]["side"], "BUY")
|
||||
self.assertEqual(client.calls[0]["reduceOnly"], "true")
|
||||
|
||||
def test_spot_market_buy_requires_quote(self):
|
||||
with patch.object(trade_service, "audit_event", return_value=None):
|
||||
with self.assertRaisesRegex(RuntimeError, "requires --quote"):
|
||||
trade_service.execute_spot_trade(
|
||||
{"trading": {"dry_run_default": False}},
|
||||
side="buy",
|
||||
symbol="BTCUSDT",
|
||||
qty=None,
|
||||
quote=None,
|
||||
order_type="market",
|
||||
price=None,
|
||||
dry_run=False,
|
||||
spot_client=FakeSpotClient(),
|
||||
)
|
||||
|
||||
def test_spot_market_buy_rejects_qty(self):
|
||||
with patch.object(trade_service, "audit_event", return_value=None):
|
||||
with self.assertRaisesRegex(RuntimeError, "accepts --quote only"):
|
||||
trade_service.execute_spot_trade(
|
||||
{"trading": {"dry_run_default": False}},
|
||||
side="buy",
|
||||
symbol="BTCUSDT",
|
||||
qty=0.1,
|
||||
quote=100,
|
||||
order_type="market",
|
||||
price=None,
|
||||
dry_run=False,
|
||||
spot_client=FakeSpotClient(),
|
||||
)
|
||||
|
||||
def test_spot_market_sell_rejects_quote(self):
|
||||
with patch.object(trade_service, "audit_event", return_value=None):
|
||||
with self.assertRaisesRegex(RuntimeError, "accepts --qty only"):
|
||||
trade_service.execute_spot_trade(
|
||||
{"trading": {"dry_run_default": False}},
|
||||
side="sell",
|
||||
symbol="BTCUSDT",
|
||||
qty=0.1,
|
||||
quote=100,
|
||||
order_type="market",
|
||||
price=None,
|
||||
dry_run=False,
|
||||
spot_client=FakeSpotClient(),
|
||||
)
|
||||
Reference in New Issue
Block a user