File size: 7,147 Bytes
36dada9 | 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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 | import sys
from types import ModuleType, SimpleNamespace
import pandas as pd
import TerraFin.interface.chart.client as chart_client
from TerraFin.data.contracts.dataframes import TimeSeriesDataFrame
class _FakeResponse:
def __init__(self, status_code: int, payload: dict | None = None) -> None:
self.status_code = status_code
self._payload = payload or {}
def json(self) -> dict:
return dict(self._payload)
def _set_runtime(monkeypatch, *, base_url: str = "http://127.0.0.1:8001", base_path: str = "/terra") -> None:
monkeypatch.setattr(
chart_client,
"get_runtime_config",
lambda: SimpleNamespace(base_url=base_url, base_path=base_path, host="127.0.0.1", port=8001),
)
def test_runtime_url_includes_base_path(monkeypatch) -> None:
_set_runtime(monkeypatch, base_path="/terrafin")
assert chart_client._runtime_url("/chart") == "http://127.0.0.1:8001/terrafin/chart"
assert chart_client._runtime_url("ready") == "http://127.0.0.1:8001/terrafin/ready"
def test_wait_for_server_ready_polls_ready_endpoint(monkeypatch) -> None:
_set_runtime(monkeypatch)
responses = iter(
[
_FakeResponse(503, {"ready": False}),
RuntimeError("not ready yet"),
_FakeResponse(200, {"status": "ready", "ready": True}),
]
)
request_urls: list[str] = []
sleep_calls: list[float] = []
monotonic_values = iter([0.0, 0.1, 0.2, 0.3, 0.4])
def _fake_get(url: str, timeout: float):
_ = timeout
request_urls.append(url)
next_value = next(responses)
if isinstance(next_value, Exception):
raise next_value
return next_value
monkeypatch.setattr(chart_client.requests, "get", _fake_get)
monkeypatch.setattr(chart_client.time, "sleep", lambda delay: sleep_calls.append(delay))
monkeypatch.setattr(chart_client.time, "monotonic", lambda: next(monotonic_values))
assert chart_client._wait_for_server_ready(timeout_s=1.0, poll_interval_s=0.2) is True
assert request_urls == [
"http://127.0.0.1:8001/terra/ready",
"http://127.0.0.1:8001/terra/ready",
"http://127.0.0.1:8001/terra/ready",
]
assert sleep_calls == [0.2, 0.2]
def test_display_chart_notebook_starts_server_and_updates_chart(monkeypatch) -> None:
_set_runtime(monkeypatch)
wait_calls: list[tuple[float, float]] = []
start_calls: list[str] = []
update_calls: list[tuple[TimeSeriesDataFrame | list[TimeSeriesDataFrame], bool, str | None]] = []
readiness_states = iter([False, True])
def _fake_wait(timeout_s: float = 10.0, poll_interval_s: float = 0.2) -> bool:
wait_calls.append((timeout_s, poll_interval_s))
return next(readiness_states)
def _fake_start_server() -> int:
start_calls.append("started")
return 1234
def _fake_update_chart(data, pinned: bool = False, session_id: str | None = None) -> bool:
update_calls.append((data, pinned, session_id))
return True
fake_ipython = ModuleType("IPython")
fake_display = ModuleType("IPython.display")
class _FakeIFrame:
def __init__(self, *, src: str, width: str, height: int) -> None:
self.src = src
self.width = width
self.height = height
fake_display.IFrame = _FakeIFrame
fake_ipython.display = fake_display
monkeypatch.setitem(sys.modules, "IPython", fake_ipython)
monkeypatch.setitem(sys.modules, "IPython.display", fake_display)
monkeypatch.setattr(chart_client, "_wait_for_server_ready", _fake_wait)
monkeypatch.setattr(chart_client, "start_server", _fake_start_server)
monkeypatch.setattr(chart_client, "update_chart", _fake_update_chart)
df = TimeSeriesDataFrame(pd.DataFrame({"time": ["2026-01-01"], "close": [100.0]}), name="S&P 500")
frame = chart_client.display_chart_notebook(df)
assert wait_calls == [(1.0, 0.2), (15.0, 0.25)]
assert start_calls == ["started"]
assert update_calls == [(df, False, "default")]
assert frame.src == "http://127.0.0.1:8001/terra/chart?sessionId=default"
assert frame.width == "80%"
assert frame.height == 400
def test_update_chart_posts_to_prefixed_chart_data(monkeypatch) -> None:
_set_runtime(monkeypatch, base_path="/prefixed")
request_log: list[tuple[str, dict, dict | None, float]] = []
def _fake_post(url: str, json: dict, headers: dict | None = None, timeout: float = 0):
request_log.append((url, json, headers, timeout))
return _FakeResponse(200, {"ok": True})
monkeypatch.setattr(chart_client, "_wait_for_server_ready", lambda timeout_s=10.0, poll_interval_s=0.2: True)
monkeypatch.setattr(chart_client.requests, "post", _fake_post)
df = TimeSeriesDataFrame(pd.DataFrame({"time": ["2026-01-01", "2026-01-02"], "close": [100.0, 101.0]}))
assert chart_client.update_chart(df, pinned=True) is True
assert request_log[0][0] == "http://127.0.0.1:8001/prefixed/chart/api/chart-data"
assert request_log[0][1]["pinned"] is True
assert request_log[0][1]["mode"] == "multi"
assert request_log[0][1]["series"][0]["seriesType"] == "line"
assert request_log[0][2] is None
assert request_log[0][3] == 20
def test_update_chart_can_target_explicit_session(monkeypatch) -> None:
_set_runtime(monkeypatch)
request_log: list[tuple[str, dict, dict | None, float]] = []
def _fake_post(url: str, json: dict, headers: dict | None = None, timeout: float = 0):
request_log.append((url, json, headers, timeout))
return _FakeResponse(200, {"ok": True})
monkeypatch.setattr(chart_client, "_wait_for_server_ready", lambda timeout_s=10.0, poll_interval_s=0.2: True)
monkeypatch.setattr(chart_client.requests, "post", _fake_post)
df = TimeSeriesDataFrame(pd.DataFrame({"time": ["2026-01-01"], "close": [100.0]}))
assert chart_client.update_chart(df, session_id="notebook:test-session") is True
assert request_log[0][2] == {"X-Session-ID": "notebook:test-session"}
assert request_log[0][3] == 20
def test_update_chart_posts_raw_candlestick_source_for_ohlc_frames(monkeypatch) -> None:
_set_runtime(monkeypatch)
request_log: list[dict] = []
def _fake_post(url: str, json: dict, headers: dict | None = None, timeout: float = 0):
_ = url, headers, timeout
request_log.append(json)
return _FakeResponse(200, {"ok": True})
monkeypatch.setattr(chart_client, "_wait_for_server_ready", lambda timeout_s=10.0, poll_interval_s=0.2: True)
monkeypatch.setattr(chart_client.requests, "post", _fake_post)
df = TimeSeriesDataFrame(
pd.DataFrame(
{
"time": ["2026-01-01", "2026-01-02"],
"open": [99.5, 100.5],
"high": [101.0, 102.0],
"low": [99.0, 100.0],
"close": [100.0, 101.0],
}
)
)
df.name = "OHLC"
assert chart_client.update_chart(df) is True
assert request_log[0]["series"][0]["seriesType"] == "candlestick"
assert "open" in request_log[0]["series"][0]["data"][0]
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