def test_jinja_output():
import dtale.views as views
df = pd.DataFrame([1, 2, 3])
df, _ = views.format_data(df)
with build_app(url=URL).test_client() as c:
with ExitStack() as stack:
stack.enter_context(mock.patch('dtale.views.DATA', {c.port: df}))
stack.enter_context(
mock.patch('dtale.views.DTYPES',
{c.port: views.build_dtypes_state(df)}))
stack.enter_context(
mock.patch('dtale.dash_application.views.DATA', {c.port: df}))
response = c.get('/dtale/main/{}'.format(c.port))
assert 'span id="forkongithub"' not in str(response.data)
response = c.get('/charts/{}'.format(c.port))
assert 'span id="forkongithub"' not in str(response.data)
with build_app(url=URL, github_fork=True).test_client() as c:
with ExitStack() as stack:
stack.enter_context(mock.patch('dtale.views.DATA', {c.port: df}))
stack.enter_context(
mock.patch('dtale.views.DTYPES',
{c.port: views.build_dtypes_state(df)}))
stack.enter_context(
mock.patch('dtale.dash_application.views.DATA', {c.port: df}))
response = c.get('/dtale/main/1')
assert 'span id="forkongithub"' in str(response.data)
response = c.get('/charts/{}'.format(c.port))
assert 'span id="forkongithub"' in str(response.data)
def test_status_codes():
with ExitStack() as stack:
stack.enter_context(
mock.patch(
"dtale.auth.global_state.get_auth_settings",
return_value={
"active": True,
"username": "******",
"password": "******"
},
))
with build_app(url=URL).test_client() as c:
resp = c.get("/login")
assert resp.status_code == 200
resp = c.get("/logout")
assert resp.status_code == 302
with ExitStack() as stack:
stack.enter_context(
mock.patch(
"dtale.auth.global_state.get_auth_settings",
return_value={
"active": False,
},
))
with build_app(url=URL).test_client() as c:
resp = c.get("/login")
assert resp.status_code == 404
resp = c.get("/logout")
assert resp.status_code == 404
def test_time_dataframe_dataset():
with build_app(url=URL).test_client() as c:
with ExitStack() as stack:
data = {}
stack.enter_context(mock.patch("dtale.global_state.DATA", data))
c.get("/dtale/datasets", query_string=dict(dataset="time_dataframe"))
assert data["1"]["A"].isnull().sum() == 0
def test_failure():
import dtale.views as views
df, _ = views.format_data(
pd.DataFrame(
[
[1, 1, 3.29, 3.41, 3.64],
[1, 2, 2.44, 2.32, 2.42],
[1, 3, 4.34, 4.17, 4.27],
[2, 1, 3.08, 3.25, 3.07],
[2, 2, 2.53, 1.78, 2.32],
[2, 3, 4.19, 3.94, 4.34],
[2, 4, 3.01, 4.03, 3.2],
[2, 5, 2.44, 1.8, 1.72],
[3, 1, 3.04, 2.89, 2.85],
[3, 2, 1.62, 1.87, 2.04],
[3, 3, 3.88, 4.09, 3.67],
[3, 4, 3.14, 3.2, 3.11],
[3, 5, 1.54, 1.93, 1.55],
],
columns=["o", "p", "m1", "m2", "m3"],
))
with build_app(url=URL).test_client() as c:
build_data_inst({c.port: df})
resp = c.get(
"/dtale/gage-rnr/{}".format(c.port),
query_string=dict(operator=json.dumps(["o"])),
)
resp = resp.json
assert "error" in resp
def test_network_analysis(network_data, unittest):
import dtale.views as views
df, _ = views.format_data(network_data)
with build_app(url=URL).test_client() as c:
with ExitStack() as stack:
stack.enter_context(
mock.patch("dtale.global_state.DATA", {c.port: df}))
resp = c.get(
"/dtale/network-analysis/{}".format(c.port),
query_string={
"to": "to",
"from": "from",
"weight": "weight"
},
)
unittest.assertEqual(
resp.json["data"],
{
"avg_weight": 2.68,
"edge_ct": 36,
"leaf_ct": 3,
"max_edge": "10 (source: h, target: j)",
"min_edge": "1 (source: j, target: k)",
"most_connected_node": "g (Connections: 5)",
"node_ct": 14,
"triangle_ct": 2,
},
)
def test_login():
import dtale.views as views
df, _ = views.format_data(pd.DataFrame(dict(a=[1, 2, 3, 4, 5, 6])))
with ExitStack() as stack:
stack.enter_context(
mock.patch(
"dtale.auth.global_state.get_auth_settings",
return_value={
"active": True,
"username": "******",
"password": "******"
},
))
mock_session = stack.enter_context(
mock.patch("dtale.auth.session", dict()))
with build_app(url=URL).test_client() as c:
build_data_inst({c.port: df})
resp = c.get("/dtale/static/css/main.css")
assert resp.status_code == 200
resp = c.get("/dtale/main/{}".format(c.port))
assert resp.status_code == 302
assert resp.location == "http://localhost:{}/login".format(c.port)
resp = c.post("/login", data=dict(username="******", password="******"))
assert resp.location == "http://localhost:{}/dtale/main/{}".format(
c.port, c.port)
assert mock_session["logged_in"]
assert mock_session["username"] == "foo"
resp = c.get("/logout")
assert resp.location == "http://localhost:{}/login".format(c.port)
assert mock_session.get("logged_in") is None
def test_upload():
import dtale.views as views
df, _ = views.format_data(pd.DataFrame([1, 2, 3]))
with build_app(url=URL).test_client() as c:
with ExitStack() as stack:
data = {c.port: df}
stack.enter_context(mock.patch("dtale.global_state.DATA", data))
stack.enter_context(
mock.patch("dtale.global_state.DTYPES",
{c.port: views.build_dtypes_state(df)}))
resp = c.post("/dtale/upload")
assert not resp.get_json()["success"]
c.post(
"/dtale/upload",
data={
"contents": build_upload_data(),
"filename": "test_df.csv"
},
)
assert len(data) == 2
new_key = next((k for k in data if k != c.port), None)
assert list(data[new_key].columns) == ["a", "b", "c"]
def test_covid_dataset():
import dtale.global_state as global_state
global_state.clear_store()
def mock_load_csv(**kwargs):
if (
kwargs.get("path")
== "https://raw.githubusercontent.com/nytimes/covid-19-data/master/us-states.csv"
):
return pd.DataFrame(dict(state=["a", "b"]))
elif (
kwargs.get("path")
== "https://raw.githubusercontent.com/jasonong/List-of-US-States/master/states.csv"
):
return pd.DataFrame(dict(State=["a"], Abbreviation=["A"]))
return None
with build_app(url=URL).test_client() as c:
with ExitStack() as stack:
stack.enter_context(
mock.patch("dtale.cli.loaders.csv_loader.loader_func", mock_load_csv)
)
c.get("/dtale/datasets", query_string=dict(dataset="covid"))
assert global_state.get_data(1).state_code.values[0] == "A"
def test_time_dataframe_dataset():
import dtale.global_state as global_state
global_state.clear_store()
with build_app(url=URL).test_client() as c:
c.get("/dtale/datasets", query_string=dict(dataset="time_dataframe"))
assert global_state.get_data(1)["A"].isnull().sum() == 0
def _override_start_listening(app):
dtale_app_obj = build_app(reaper_on=False)
tr = WSGIContainer(dtale_app_obj)
app.add_handlers(r".*",
[(".*dtale.*", FallbackHandler, dict(fallback=tr))])
orig_start_listening(app)
def test_matrix():
import dtale.views as views
df, _ = views.format_data(pd.DataFrame(dict(a=[1, 2, 3, 4, 5, 6])))
with build_app(url=URL).test_client() as c:
build_data_inst({c.port: df})
resp = c.get("/dtale/missingno/matrix/{}".format(c.port))
assert resp.content_type == "image/png"
def test_dendrogram(rolling_data):
import dtale.views as views
df, _ = views.format_data(rolling_data)
with build_app(url=URL).test_client() as c:
build_data_inst({c.port: df})
resp = c.get("/dtale/missingno/dendrogram/{}".format(c.port))
assert resp.content_type == "image/png"
def test_web_upload(unittest):
with build_app(url=URL).test_client() as c:
with ExitStack() as stack:
data = {}
stack.enter_context(mock.patch("dtale.global_state.DATA", data))
load_csv = stack.enter_context(
mock.patch(
"dtale.cli.loaders.csv_loader.loader_func",
mock.Mock(return_value=pd.DataFrame(dict(a=[1], b=[2]))),
))
load_json = stack.enter_context(
mock.patch(
"dtale.cli.loaders.json_loader.loader_func",
mock.Mock(return_value=pd.DataFrame(dict(a=[1], b=[2]))),
))
params = {"type": "csv", "url": "http://test.com"}
c.get("/dtale/web-upload", query_string=params)
load_csv.assert_called_once()
unittest.assertEqual(
load_csv.call_args.kwargs,
{
"path": "http://test.com",
"proxy": None
},
)
assert len(data) == 1
load_csv.reset_mock()
params = {"type": "tsv", "url": "http://test.com"}
c.get("/dtale/web-upload", query_string=params)
load_csv.assert_called_once()
unittest.assertEqual(
load_csv.call_args.kwargs,
{
"path": "http://test.com",
"proxy": None,
"delimiter": "\t"
},
)
assert len(data) == 2
params = {
"type": "json",
"url": "http://test.com",
"proxy": "http://testproxy.com",
}
c.get("/dtale/web-upload", query_string=params)
load_json.assert_called_once()
unittest.assertEqual(
load_json.call_args.kwargs,
{
"path": "http://test.com",
"proxy": "http://testproxy.com"
},
)
assert len(data) == 3
def test_overriden_route():
app = build_app(reaper_on=False)
@app.route("/")
def hello_world():
return "hello world"
with app.test_client() as c:
resp = c.get("/")
assert resp.data == b"hello world"
def test_hpfilter(custom_data, ts_analysis_data, unittest):
import dtale.views as views
df, _ = views.format_data(ts_analysis_data)
with build_app(url=URL).test_client() as c:
build_data_inst({c.port: df})
resp = c.get(
"/dtale/timeseries-analysis/{}".format(c.port),
query_string=dict(type="not_implemented", cfg=json.dumps({})),
)
assert not resp.json["success"]
cfg = dict(index="date", col="realgdp", lamb=1600)
resp = c.get(
"/dtale/timeseries-analysis/{}".format(c.port),
query_string=dict(type="hpfilter", cfg=json.dumps(cfg)),
)
unittest.assertEqual(
sorted(resp.json["data"]["all"].keys()), ["cycle", "realgdp", "trend", "x"]
)
df, _ = views.format_data(custom_data)
with build_app(url=URL).test_client() as c:
build_data_inst({c.port: df})
cfg = dict(index="date", col="Col1", lamb=1600)
resp = c.get(
"/dtale/timeseries-analysis/{}".format(c.port),
query_string=dict(type="hpfilter", cfg=json.dumps(cfg)),
)
assert not resp.json["success"]
cfg["agg"] = "mean"
resp = c.get(
"/dtale/timeseries-analysis/{}".format(c.port),
query_string=dict(type="hpfilter", cfg=json.dumps(cfg)),
)
unittest.assertEqual(
sorted(resp.json["data"]["all"].keys()), ["Col1", "cycle", "trend", "x"]
)
def test_time_dataframe_dataset():
with build_app(url=URL).test_client() as c:
with ExitStack() as stack:
data = {}
stack.enter_context(mock.patch("dtale.global_state.DATA", data))
stack.enter_context(
mock.patch(
"dtale.datasets.makeTimeDataFrame",
mock.Mock(return_value=pd.DataFrame(dict(time=[1]))),
))
c.get("/dtale/datasets",
query_string=dict(dataset="time_dataframe"))
assert data["1"].time.sum() == 1
def test_seinfeld_dataset():
def mock_load_csv(**kwargs):
return pd.DataFrame(dict(SEID=["a"]))
with build_app(url=URL).test_client() as c:
with ExitStack() as stack:
data = {}
stack.enter_context(mock.patch("dtale.global_state.DATA", data))
stack.enter_context(
mock.patch("dtale.cli.loaders.csv_loader.loader_func",
mock_load_csv))
c.get("/dtale/datasets", query_string=dict(dataset="seinfeld"))
assert data["1"].SEID.values[0] == "a"
def test_login_failed():
with ExitStack() as stack:
stack.enter_context(
mock.patch(
"dtale.auth.global_state.get_auth_settings",
return_value={
"active": True,
"username": "******",
"password": "******"
},
))
with build_app(url=URL).test_client() as c:
resp = c.post("/login", data=dict(username="******", password="******"))
assert "Invalid credentials!" in str(resp.data)
def test_seinfeld_dataset():
import dtale.global_state as global_state
global_state.clear_store()
def mock_load_csv(**kwargs):
return pd.DataFrame(dict(SEID=["a"]))
with build_app(url=URL).test_client() as c:
with ExitStack() as stack:
stack.enter_context(
mock.patch("dtale.cli.loaders.csv_loader.loader_func", mock_load_csv)
)
c.get("/dtale/datasets", query_string=dict(dataset="seinfeld"))
assert global_state.get_data(1).SEID.values[0] == "a"
def test_bkfilter(unittest, ts_analysis_data):
import dtale.views as views
df, _ = views.format_data(ts_analysis_data)
with build_app(url=URL).test_client() as c:
build_data_inst({c.port: df})
cfg = dict(index="date", col="realgdp", low=6, high=32, K=12)
resp = c.get(
"/dtale/timeseries-analysis/{}".format(c.port),
query_string=dict(type="bkfilter", cfg=json.dumps(cfg)),
)
unittest.assertEqual(
sorted(resp.json["data"]["all"].keys()), ["cycle", "realgdp", "x"]
)
def test_seasonal_decompose(unittest, ts_analysis_data):
import dtale.views as views
df, _ = views.format_data(ts_analysis_data)
with build_app(url=URL).test_client() as c:
build_data_inst({c.port: df})
cfg = dict(index="date", col="realgdp", model="additive")
resp = c.get(
"/dtale/timeseries-analysis/{}".format(c.port),
query_string=dict(type="seasonal_decompose", cfg=json.dumps(cfg)),
)
unittest.assertEqual(
sorted(resp.json["data"]["all"].keys()),
["realgdp", "resid", "seasonal", "trend", "x"],
)
def test_network_data(network_data):
import dtale.views as views
df, _ = views.format_data(network_data)
with build_app(url=URL).test_client() as c:
build_data_inst({c.port: df})
resp = c.get(
"/dtale/network-data/{}".format(c.port),
query_string={
"to": "to",
"from": "from",
"group": "weight",
"weight": "weight",
},
)
data = resp.json
assert len(data["edges"]) == 19
assert len(data["nodes"]) == 14
def test_failed_override():
with ExitStack() as stack:
stack.enter_context(
mock.patch(
"dtale.app.contains_route",
mock.Mock(side_effect=Exception("test error")),
))
app = build_app(reaper_on=False)
@app.route("/")
def hello_world():
return "hello world"
with app.test_client() as c:
resp = c.get("/")
assert resp.status_code == 302
assert resp.location == "http://localhost:{}/dtale/popup/upload".format(
c.port)
def test_shortest_path(network_data, unittest):
import dtale.views as views
df, _ = views.format_data(network_data)
with build_app(url=URL).test_client() as c:
build_data_inst({c.port: df})
resp = c.get(
"/dtale/shortest-path/{}".format(c.port),
query_string={
"to": "to",
"from": "from",
"weight": "weight",
"start": "b",
"end": "k",
},
)
unittest.assertEqual(resp.json["data"], ["b", "f", "j", "k"])
def test_shortest_path(network_data, unittest):
import dtale.views as views
df, _ = views.format_data(network_data)
with build_app(url=URL).test_client() as c:
with ExitStack() as stack:
stack.enter_context(mock.patch("dtale.global_state.DATA", {c.port: df}))
resp = c.get(
"/dtale/shortest-path/{}".format(c.port),
query_string={
"to": "to",
"from": "from",
"weight": "weight",
"start": "b",
"end": "k",
},
)
unittest.assertEqual(resp.json["data"], ["b", "f", "j", "k"])
def test_network_data(network_data):
import dtale.views as views
df, _ = views.format_data(network_data)
with build_app(url=URL).test_client() as c:
with ExitStack() as stack:
stack.enter_context(mock.patch("dtale.global_state.DATA", {c.port: df}))
resp = c.get(
"/dtale/network-data/{}".format(c.port),
query_string={
"to": "to",
"from": "from",
"group": "weight",
"weight": "weight",
},
)
data = resp.json
assert len(data["edges"]) == 19
assert len(data["nodes"]) == 14
import numpy as np
import pandas as pd
import pandas.util.testing as pdt
import pytest
from pandas.tseries.offsets import Day
from six import PY3
from dtale.app import build_app
if PY3:
from contextlib import ExitStack
else:
from contextlib2 import ExitStack
URL = 'http://localhost:40000'
app = build_app(url=URL)
@pytest.mark.unit
def test_head_data_id():
import dtale.views as views
with ExitStack() as stack:
stack.enter_context(mock.patch('dtale.views.DATA', {'1': None, '2': None}))
assert views.head_data_id() == '1'
with ExitStack() as stack:
stack.enter_context(mock.patch('dtale.views.DATA', {}))
with pytest.raises(Exception) as error:
views.head_data_id()
assert error.startswith('No data associated with this D-Tale session')
import mock
import pandas as pd
import pandas.util.testing as pdt
import pytest
from pandas.tseries.offsets import Day
from six import PY3
from dtale.app import build_app
if PY3:
from contextlib import ExitStack
else:
from contextlib2 import ExitStack
app = build_app()
@pytest.mark.unit
def test_startup(unittest):
import dtale.views as views
views.startup()
assert views.DATA is None
test_data = pd.DataFrame(
[dict(date=pd.Timestamp('now'), security_id=1, foo=1.5)])
test_data = test_data.set_index(['date', 'security_id'])
views.startup(data_loader=lambda: test_data, port=80)
pdt.assert_frame_equal(views.DATA, test_data.reset_index())
def test_upload(unittest):
import dtale.views as views
import dtale.global_state as global_state
global_state.clear_store()
df, _ = views.format_data(pd.DataFrame([1, 2, 3]))
with build_app(url=URL).test_client() as c:
build_data_inst({c.port: df})
global_state.set_dtypes(c.port, views.build_dtypes_state(df))
resp = c.post("/dtale/upload")
assert not resp.get_json()["success"]
c.post(
"/dtale/upload",
data={
"tests_df.csv": (build_upload_data(), "test_df.csv"),
"separatorType": "csv",
},
)
assert global_state.size() == 2
new_key = next((k for k in global_state.keys() if k != c.port), None)
assert list(global_state.get_data(new_key).columns) == ["a", "b", "c"]
with build_app(url=URL).test_client() as c:
global_state.clear_store()
build_data_inst({c.port: df})
global_state.set_dtypes(c.port, views.build_dtypes_state(df))
resp = c.post("/dtale/upload")
assert not resp.get_json()["success"]
c.post(
"/dtale/upload",
data={
"tests_df.csv": (build_upload_data(), "test_df.csv"),
"separatorType": "custom",
"separator": ",",
},
)
assert global_state.size() == 2
new_key = next((k for k in global_state.keys() if k != c.port), None)
assert list(global_state.get_data(new_key).columns) == ["a", "b", "c"]
with build_app(url=URL).test_client() as c:
global_state.clear_store()
build_data_inst({c.port: df})
global_state.set_dtypes(c.port, views.build_dtypes_state(df))
assert global_state.size() == 1
if PY3:
c.post(
"/dtale/upload",
data={
"test_df.xlsx": (
os.path.join(
os.path.dirname(__file__), "..", "data/test_df.xlsx"
),
"test_df.xlsx",
)
},
)
assert global_state.size() == 2
new_key = next((k for k in global_state.keys() if k != c.port), None)
assert list(global_state.get_data(new_key).columns) == ["a", "b", "c"]
with build_app(url=URL).test_client() as c:
with ExitStack() as stack:
global_state.clear_store()
data = {c.port: df}
build_data_inst(data)
global_state.set_dtypes(c.port, views.build_dtypes_state(df))
stack.enter_context(
mock.patch(
"dtale.views.pd.read_excel",
mock.Mock(
return_value={
"Sheet 1": pd.DataFrame(dict(a=[1], b=[2])),
"Sheet 2": pd.DataFrame(dict(c=[1], d=[2])),
}
),
)
)
resp = c.post(
"/dtale/upload",
data={
"test_df.xlsx": (
os.path.join(
os.path.dirname(__file__), "..", "data/test_df.xlsx"
),
"test_df.xlsx",
)
},
)
assert global_state.size() == 3
sheets = resp.json["sheets"]
assert len(sheets) == 2
unittest.assertEqual(
sorted([s["name"] for s in sheets]),
["Sheet 1", "Sheet 2"],
)
def test_web_upload(unittest):
import dtale.global_state as global_state
global_state.clear_store()
with build_app(url=URL).test_client() as c:
with ExitStack() as stack:
load_csv = stack.enter_context(
mock.patch(
"dtale.cli.loaders.csv_loader.loader_func",
mock.Mock(return_value=pd.DataFrame(dict(a=[1], b=[2]))),
)
)
load_excel = stack.enter_context(
mock.patch(
"dtale.cli.loaders.excel_loader.load_file",
mock.Mock(
return_value={"Sheet 1": pd.DataFrame(dict(a=[1], b=[2]))}
),
)
)
load_json = stack.enter_context(
mock.patch(
"dtale.cli.loaders.json_loader.loader_func",
mock.Mock(return_value=pd.DataFrame(dict(a=[1], b=[2]))),
)
)
params = {"type": "csv", "url": "http://test.com"}
c.get("/dtale/web-upload", query_string=params)
load_csv.assert_called_once()
unittest.assertEqual(
load_csv.call_args.kwargs,
{"path": "http://test.com", "proxy": None},
)
assert global_state.size() == 1
load_csv.reset_mock()
params = {"type": "tsv", "url": "http://test.com"}
c.get("/dtale/web-upload", query_string=params)
load_csv.assert_called_once()
unittest.assertEqual(
load_csv.call_args.kwargs,
{"path": "http://test.com", "proxy": None, "delimiter": "\t"},
)
assert global_state.size() == 2
params = {
"type": "json",
"url": "http://test.com",
"proxy": "http://testproxy.com",
}
c.get("/dtale/web-upload", query_string=params)
load_json.assert_called_once()
unittest.assertEqual(
load_json.call_args.kwargs,
{"path": "http://test.com", "proxy": "http://testproxy.com"},
)
assert global_state.size() == 3
params = {"type": "excel", "url": "http://test.com"}
c.get("/dtale/web-upload", query_string=params)
load_excel.assert_called_once()
unittest.assertEqual(
load_excel.call_args.kwargs,
{"path": "http://test.com", "proxy": None},
)
assert global_state.size() == 4
global_state.clear_store()
load_excel.reset_mock()
load_excel.return_value = {
"Sheet 1": pd.DataFrame(dict(a=[1], b=[2])),
"Sheet 2": pd.DataFrame(dict(c=[1], d=[2])),
}
resp = c.get("/dtale/web-upload", query_string=params)
sheets = resp.json["sheets"]
assert len(sheets) == 2
unittest.assertEqual(
sorted([s["name"] for s in sheets]),
["Sheet 1", "Sheet 2"],
)
