Files
OpenBB/openbb_platform/extensions/qa/integration/test_qa_api.py
Henrique Joaquim 82e8806e55 Hotfix/data processing int tests (#5499)
* improve/fix the generator

* fix ta/cones

* adding new test for economy menu

* test for ta

* newly generated qa file

* fixing breaking changes introduced by pydantic v2

* fixing charting

* one more little fix to charts

* fix qa/capm

* tmp fix on om

* qa stocks

* ruff n black

* remove non float columns

* mini fix so the corr result is serializable

* econometrics tests

* simplifying a bit and making ruff happy

* docstring

* docstring
2023-10-02 16:19:06 +01:00

277 lines
8.0 KiB
Python

import json
import random
from typing import List
import pytest
import requests
from openbb_provider.utils.helpers import get_querystring
def get_token():
return requests.post(
"http://0.0.0.0:8000/api/v1/account/token",
data={"username": "openbb", "password": "openbb"},
timeout=5,
)
def auth_header():
access_token = get_token().json()["access_token"]
return {"Authorization": f"Bearer {access_token}"}
@pytest.fixture(scope="session")
def headers():
h = {}
auth = auth_header()
h.update(auth)
return h
def get_random_data(menu: str, symbols: List[str], providers: List[str]):
"""Randomly pick a symbol and a provider and get data from the selected menu."""
symbol = random.choice(symbols) # noqa: S311
provider = random.choice(providers) # noqa: S311
url = f"http://0.0.0.0:8000/api/v1/{menu}/load?symbol={symbol}&provider={provider}"
result = requests.get(url, headers=auth_header(), timeout=5)
return result.json()["results"]
symbols = ["AAPL", "NVDA", "MSFT", "TSLA", "AMZN", "GOOG", "FB", "BABA", "TSM", "V"]
providers = ["fmp", "intrinio", "polygon", "yfinance"]
stocks_data = get_random_data("stocks", symbols=symbols, providers=providers)
# TODO : add more crypto providers and symbols
symbols_crypto = ["BTC"]
providers_crypto = ["fmp"]
crypto_data = get_random_data(
menu="crypto", symbols=symbols_crypto, providers=providers_crypto
)
@pytest.mark.parametrize(
"params",
[
({"data": stocks_data, "target": "close"}),
({"data": crypto_data, "target": "high"}),
],
)
@pytest.mark.integration
def test_qa_normality(params, headers):
params = {p: v for p, v in params.items() if v}
data = json.dumps(params.pop("data"))
query_str = get_querystring(params, [])
url = f"http://0.0.0.0:8000/api/v1/qa/normality?{query_str}"
result = requests.post(url, headers=headers, timeout=5, data=data)
assert isinstance(result, requests.Response)
assert result.status_code == 200
@pytest.mark.parametrize(
"params",
[
({"data": stocks_data, "target": "close"}),
({"data": crypto_data, "target": "high"}),
],
)
@pytest.mark.integration
def test_qa_capm(params, headers):
params = {p: v for p, v in params.items() if v}
data = json.dumps(params.pop("data"))
query_str = get_querystring(params, [])
url = f"http://0.0.0.0:8000/api/v1/qa/capm?{query_str}"
result = requests.post(url, headers=headers, timeout=5, data=data)
assert isinstance(result, requests.Response)
assert result.status_code == 200
@pytest.mark.parametrize(
"params",
[
(
{
"data": stocks_data,
"target": "close",
"threshold_start": "",
"threshold_end": "",
}
),
(
{
"data": crypto_data,
"target": "high",
"threshold_start": "0.1",
"threshold_end": "1.6",
}
),
],
)
@pytest.mark.integration
def test_qa_om(params, headers):
params = {p: v for p, v in params.items() if v}
data = json.dumps(params.pop("data"))
query_str = get_querystring(params, [])
url = f"http://0.0.0.0:8000/api/v1/qa/om?{query_str}"
result = requests.post(url, headers=headers, timeout=5, data=data)
assert isinstance(result, requests.Response)
assert result.status_code == 200
@pytest.mark.parametrize(
"params",
[
({"data": stocks_data, "target": "close", "window": "5"}),
({"data": crypto_data, "target": "high", "window": "10"}),
],
)
@pytest.mark.integration
def test_qa_kurtosis(params, headers):
params = {p: v for p, v in params.items() if v}
data = json.dumps(params.pop("data"))
query_str = get_querystring(params, [])
url = f"http://0.0.0.0:8000/api/v1/qa/kurtosis?{query_str}"
result = requests.post(url, headers=headers, timeout=5, data=data)
assert isinstance(result, requests.Response)
assert result.status_code == 200
@pytest.mark.parametrize(
"params",
[
({"data": stocks_data, "target": "close", "fuller_reg": "c", "kpss_reg": "ct"}),
({"data": stocks_data, "target": "high", "fuller_reg": "ct", "kpss_reg": "c"}),
],
)
@pytest.mark.integration
def test_qa_unitroot(params, headers):
params = {p: v for p, v in params.items() if v}
data = json.dumps(params.pop("data"))
query_str = get_querystring(params, [])
url = f"http://0.0.0.0:8000/api/v1/qa/unitroot?{query_str}"
result = requests.post(url, headers=headers, timeout=5, data=data)
assert isinstance(result, requests.Response)
assert result.status_code == 200
@pytest.mark.parametrize(
"params",
[
({"data": stocks_data, "target": "close", "rfr": "", "window": ""}),
({"data": crypto_data, "target": "high", "rfr": "0.5", "window": "250"}),
],
)
@pytest.mark.integration
def test_qa_sh(params, headers):
params = {p: v for p, v in params.items() if v}
data = json.dumps(params.pop("data"))
query_str = get_querystring(params, [])
url = f"http://0.0.0.0:8000/api/v1/qa/sh?{query_str}"
result = requests.post(url, headers=headers, timeout=5, data=data)
assert isinstance(result, requests.Response)
assert result.status_code == 200
@pytest.mark.parametrize(
"params",
[
(
{
"data": stocks_data,
"target": "close",
"target_return": "",
"window": "",
"adjusted": "",
}
),
(
{
"data": crypto_data,
"target": "close",
"target_return": "0.5",
"window": "275",
"adjusted": "true",
}
),
],
)
@pytest.mark.integration
def test_qa_so(params, headers):
params = {p: v for p, v in params.items() if v}
data = json.dumps(params.pop("data"))
query_str = get_querystring(params, [])
url = f"http://0.0.0.0:8000/api/v1/qa/so?{query_str}"
result = requests.post(url, headers=headers, timeout=5, data=data)
assert isinstance(result, requests.Response)
assert result.status_code == 200
@pytest.mark.parametrize(
"params",
[
({"data": stocks_data, "target": "close", "window": "220"}),
],
)
@pytest.mark.integration
def test_qa_skew(params, headers):
params = {p: v for p, v in params.items() if v}
data = json.dumps(params.pop("data"))
query_str = get_querystring(params, [])
url = f"http://0.0.0.0:8000/api/v1/qa/skew?{query_str}"
result = requests.post(url, headers=headers, timeout=60, data=data)
assert isinstance(result, requests.Response)
assert result.status_code == 200
@pytest.mark.parametrize(
"params",
[
({"data": stocks_data, "target": "close", "window": "10", "quantile_pct": ""}),
(
{
"data": crypto_data,
"target": "high",
"window": "50",
"quantile_pct": "0.6",
}
),
],
)
@pytest.mark.integration
def test_qa_quantile(params, headers):
params = {p: v for p, v in params.items() if v}
data = json.dumps(params.pop("data"))
query_str = get_querystring(params, [])
url = f"http://0.0.0.0:8000/api/v1/qa/quantile?{query_str}"
result = requests.post(url, headers=headers, timeout=5, data=data)
assert isinstance(result, requests.Response)
assert result.status_code == 200
@pytest.mark.parametrize(
"params",
[
({"data": stocks_data, "target": "close"}),
({"data": crypto_data, "target": "high"}),
],
)
@pytest.mark.integration
def test_qa_summary(params, headers):
params = {p: v for p, v in params.items() if v}
data = json.dumps(params.pop("data"))
query_str = get_querystring(params, [])
url = f"http://0.0.0.0:8000/api/v1/qa/summary?{query_str}"
result = requests.post(url, headers=headers, timeout=5, data=data)
assert isinstance(result, requests.Response)
assert result.status_code == 200