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signal-platform/tests/unit/test_scheduler.py
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dennisthiessen 21ed83c56c
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Add trade setup outcome tracking and performance stats
Closes the feedback loop on R:R scanner signals:

- Nightly outcome_evaluator job replays unresolved setups against daily
  OHLCV bars: target_hit / stop_hit / ambiguous (same-bar, counted as
  loss) / expired after OUTCOME_EVALUATION_MAX_BARS (default 30)
- Migration 004: evaluated_at + outcome_date on trade_setups
- GET /trades/performance: hit rate, expectancy (avg R), total R with
  breakdowns by direction, recommended action, and confidence bucket
- New Performance page (stat cards, breakdown tables, Evaluate Now,
  methodology disclosure) wired into sidebar and mobile nav
- 17 new unit tests for evaluation logic and stats aggregation

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-06-10 19:23:57 +02:00

100 lines
3.2 KiB
Python

"""Unit tests for app.scheduler module."""
import pytest
from app.scheduler import (
_is_job_enabled,
_parse_frequency,
_resume_tickers,
_last_successful,
configure_scheduler,
scheduler,
)
class TestParseFrequency:
def test_hourly(self):
assert _parse_frequency("hourly") == {"hours": 1}
def test_daily(self):
assert _parse_frequency("daily") == {"hours": 24}
def test_case_insensitive(self):
assert _parse_frequency("Hourly") == {"hours": 1}
assert _parse_frequency("DAILY") == {"hours": 24}
def test_unknown_defaults_to_daily(self):
assert _parse_frequency("weekly") == {"hours": 24}
assert _parse_frequency("") == {"hours": 24}
class TestResumeTickers:
def test_no_previous_returns_full_list(self):
symbols = ["AAPL", "GOOG", "MSFT"]
_last_successful["test_job"] = None
result = _resume_tickers(symbols, "test_job")
assert result == ["AAPL", "GOOG", "MSFT"]
def test_resume_after_first(self):
symbols = ["AAPL", "GOOG", "MSFT"]
_last_successful["test_job"] = "AAPL"
result = _resume_tickers(symbols, "test_job")
# Should start from GOOG, then wrap around
assert result == ["GOOG", "MSFT", "AAPL"]
def test_resume_after_middle(self):
symbols = ["AAPL", "GOOG", "MSFT", "TSLA"]
_last_successful["test_job"] = "GOOG"
result = _resume_tickers(symbols, "test_job")
assert result == ["MSFT", "TSLA", "AAPL", "GOOG"]
def test_resume_after_last(self):
symbols = ["AAPL", "GOOG", "MSFT"]
_last_successful["test_job"] = "MSFT"
result = _resume_tickers(symbols, "test_job")
# All already processed, wraps to full list
assert result == ["AAPL", "GOOG", "MSFT"]
def test_unknown_last_returns_full_list(self):
symbols = ["AAPL", "GOOG", "MSFT"]
_last_successful["test_job"] = "NVDA"
result = _resume_tickers(symbols, "test_job")
assert result == ["AAPL", "GOOG", "MSFT"]
def test_empty_list(self):
_last_successful["test_job"] = "AAPL"
result = _resume_tickers([], "test_job")
assert result == []
class TestConfigureScheduler:
def test_configure_adds_six_jobs(self):
# Remove any existing jobs first
scheduler.remove_all_jobs()
configure_scheduler()
jobs = scheduler.get_jobs()
job_ids = {j.id for j in jobs}
assert job_ids == {
"data_collector",
"sentiment_collector",
"fundamental_collector",
"rr_scanner",
"ticker_universe_sync",
"outcome_evaluator",
}
def test_configure_is_idempotent(self):
scheduler.remove_all_jobs()
configure_scheduler()
configure_scheduler() # Should replace, not duplicate
job_ids = [j.id for j in scheduler.get_jobs()]
# Each ID should appear exactly once
assert sorted(job_ids) == sorted([
"data_collector",
"fundamental_collector",
"outcome_evaluator",
"rr_scanner",
"sentiment_collector",
"ticker_universe_sync",
])