Datasets:
Tasks:
Tabular Classification
Formats:
parquet
Languages:
English
Size:
< 1K
Tags:
economics
quantitative-finance
causal-inference
macroeconomics
housing-economics
market-microstructure
License:
File size: 3,820 Bytes
ebcde1f | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 | from __future__ import annotations
import json
from pathlib import Path
from typing import Any
from streamlit.testing.v1 import AppTest
from microstructure.reporting import write_checksum_manifest
PROJECT_ROOT = Path(__file__).parents[1]
APP_PATH = PROJECT_ROOT / "dashboard" / "app.py"
def _write_json(path: Path, payload: Any) -> None:
path.parent.mkdir(parents=True, exist_ok=True)
path.write_text(json.dumps(payload, sort_keys=True) + "\n", encoding="utf-8")
def _dashboard_bundle(root: Path) -> Path:
_write_json(
root / "run_manifest.json",
{
"artifacts": {
"execution_metrics": "metrics/execution_metrics.json",
"execution_sensitivity": "metrics/execution_sensitivity.json",
"market_state": "dashboard/market_state.json",
"predictive_metrics": "metrics/predictive_metrics.json",
"quality_summary": "quality/summary.json",
},
"data": {
"mode": "synthetic",
"observed_end_utc": "2024-01-02T00:10:00Z",
"observed_start_utc": "2024-01-02T00:00:00Z",
"source": "synthetic_fixture_v1",
"symbols": ["BTCUSDT", "ETHUSDT"],
},
"evidence_tier": "SYNTHETIC_SMOKE",
"execution_assumptions": {"taker_fee_bps": 4.0},
"run_id": "dashboard-smoke",
"status": "complete",
},
)
_write_json(
root / "provenance.json",
{
"config_sha256": "c" * 64,
"evidence_tier": "SYNTHETIC_SMOKE",
"generated_at_utc": "2026-08-07T12:00:00Z",
"git": {"commit": "UNBORN", "dirty": True},
"input_manifest_sha256": ["d" * 64],
},
)
_write_json(root / "metrics" / "predictive_metrics.json", [{"model": "baseline"}])
_write_json(root / "metrics" / "execution_metrics.json", [{"net_bps": -1.0}])
_write_json(
root / "metrics" / "execution_sensitivity.json",
[{"order_type": "market", "size_multiplier": 1.0, "net_pnl": -1.0}],
)
_write_json(root / "dashboard" / "market_state.json", [{"spread_bps": 2.0}])
_write_json(root / "quality" / "summary.json", {"error_count": 0})
write_checksum_manifest(root)
(root / "_SUCCESS").write_text("", encoding="utf-8")
return root
def test_dashboard_rejects_an_incomplete_run(tmp_path: Path, monkeypatch: Any) -> None:
incomplete = tmp_path / "incomplete"
incomplete.mkdir()
monkeypatch.setenv("MICROSTRUCTURE_RUN_DIR", str(incomplete))
app = AppTest.from_file(str(APP_PATH)).run(timeout=10)
assert not app.exception
assert app.error
assert "incomplete or invalid" in app.error[0].value
assert "_SUCCESS" in app.caption[0].value
def test_dashboard_is_read_only_and_displays_all_evidence_tabs(
tmp_path: Path, monkeypatch: Any
) -> None:
run_dir = _dashboard_bundle(tmp_path / "complete")
before = {
path.relative_to(run_dir): path.read_bytes()
for path in run_dir.rglob("*")
if path.is_file()
}
monkeypatch.setenv("MICROSTRUCTURE_RUN_DIR", str(run_dir))
app = AppTest.from_file(str(APP_PATH)).run(timeout=10)
assert not app.exception
assert app.warning
assert "SYNTHETIC SMOKE" in app.warning[0].value
assert [tab.label for tab in app.tabs] == [
"Overview",
"Data Quality",
"Market State",
"Predictions",
"Simulated Performance",
"Reproducibility & Limitations",
]
assert any("Execution sensitivity grid" in item.value for item in app.markdown)
after = {
path.relative_to(run_dir): path.read_bytes()
for path in run_dir.rglob("*")
if path.is_file()
}
assert after == before
|