Files
OpenBB/tests/openbb_terminal/forecast/conftest.py
martinb-bb 7fd72d9ee1 Forecasting Menu [Work in Progress] (#1933)
* Gave forecasting memory

* Fixed scripts, refactored

* FIxed poetry lock

* edge case check for forecast target

* Improved combine and load functionality

* Cleaned up translations

* Fixed issue with covariates

* Fixed issue checking covariates

* Another covariates check fix

* Ignored regr and linregr warnings

* Fixed covariate issues

* switched from forecasting to forecast

* Finished transition to forecast

* Can add entire dataset with one command

* Improved combine description

* Removed naming covariates

* Created new installation

* typo

* Make plot show dates if available

* Added better handling or users without the menu

* Removed unused file

* Fix

* Better handling for nontraditional datasets

* Fixed black and pylint

* Fixed tests

* Added darts install to main tests

* Working on darts with CI

* Added back test file

* Made large tables print better

* naive baseline

* typo

* Finished naive

* no dollar on prediction

* fixed positive MAPE bug

* quick refactoring

* Fixed two different args for same thing

* added extra patience

* linreg mape fix

* info fix

* Refactored API, bumped to Darts 0.21.0

* Added fixes

* Increased verbosity for wrong column

* Updated dependencies

* Hid warnings

* Fixed importing

* Fixed tests

* Fixed ugly seasonal plotting

* Fixed forecast line color

* Switched chart output to blue

* Simplified lambda_price_prediction_color

* fixed residuals

* Chnage

* Removed darts from CI per Chavi

* Added fixes to tests

* Added knnfix

* Fixed issue where n!= o

* Added changes

* Added changes

* Imrpoved forecast dash

* Added Theo notebook

* Added enhancements to dash

* Added notebook

* Added fix for jupyter lab

* Added debug stuff

* Change

* Updated docs

* Fixed formatting

* Fixed formatting

* Removed prints

* Filtered some info

* Added button to run model

* Improved api

* Added secret feautr (no peeking Martin)

* Cleaned code

* Fixed tests

* Added test fixes

* Added fixes

* Fixes

* FIxes for pres

* Remove bad tests

* Removed knn

* Fixed issues with removing mc

* doc for conda

* Added forecast improvements

* Added streamlit support

* Fixed issues

* fix expo with streamlit due to quantile()

* fixed performance issues with streamlit for now..

* clean up historical forecast with new trainer

* quick fix for regression trainer params

* Added fixes

* quick fix for other fix for regression trainer params

* table formatting for timestamp

* potential fix for inf in feature engineered datasets

* Basic working in new format

* dw

* Trying

* Fixed issues

* Improved graphing

* fixing trainer for LR and formatting

* doge and linting

* page break

* automatic cleaning of datasets

* automatic cleaning of datasets- fix

* Fixed forecast dates

* Made dashboard prettier

* Added fixes

* Added fixes

* Added options

* Fixed error

* remove caching

* adding in spinner

* Added vairable n_predict in streamlit

* Added mypy fix

* renaming and range change

* new index for n predict

* check positive float for window size

* Update _index.md

* Update _index.md

* Update _index.md

* Update _index.md

* Update _index.md

* Update _index.md

* Update _index.md

* Update _index.md

* Update _index.md

* renaming

* reorg files

* Update _index.md

* hidden which command for versions

* Update _index.md

* Update _index.md

* which: ns parser

* hugo for: which

* hugo for: forecasting fix

* formatting black

* update stock controller test

* Lay groundwork for better residual plotting

* improved delete to allow for periods in title

* improved automatic cleaning of inf

* Added new API

* Added new API

* Added new API

* formatting for black

* Updated our testing CI

* Reverted changes

* Added forecast docs

* Fixed mypy issues

* Fixes tests

* Did some refactoring, added a report

* new api in streamlit

* Added integrated tests

* Update _index.md

* improved loading in custom dataset

* menu spacing

* installer fixes

* Added docs fixes

* Adding comments to test if commit working

* Fixed report

* naming conventions

* formatting

* removing unused var

* Made last report imporvements

* Update README.md

* Added fix

* Switched to warning

* Added fixes

* Added fixes

* Added fixes

* Added fixes

* Update economy av view test

* Remove forgotten print statement

* Update depencencies

* Added verbosity to pytest

* Added fixes

* Fixed pylint

* Fixed actions checkout

* Added fixes

Co-authored-by: colin99d <colin99delahunty@gmail.com>
Co-authored-by: Colin Delahunty <72827203+colin99d@users.noreply.github.com>
Co-authored-by: James Simmons <simmonsj330@gmail.com>
Co-authored-by: minhhoang1023 <40023817+minhhoang1023@users.noreply.github.com>
Co-authored-by: Theodore Aptekarev <aptekarev@gmail.com>
2022-10-08 14:54:43 +02:00

39 lines
1.1 KiB
Python

import os
import pytest
from _pytest.nodes import Node
import pandas as pd
def create_path(*path: str) -> str:
base_path = os.path.dirname(os.path.abspath(__file__))
in_between = os.path.dirname(base_path)
default_path = os.path.join(in_between, *path)
return default_path
@pytest.fixture
def tsla_csv():
path = create_path("forecast", "data", "TSLA.csv")
df = pd.read_csv(path)
df.columns = [x.lower() for x in df.columns]
df["date"] = df["date"].apply(lambda x: pd.to_datetime(x))
return df
def test_model(model, data, *args, **kwargs):
try:
_, _, predict, MAPE, _ = model(data, *args, **kwargs)
except ValueError:
_, _, predict, MAPE, _, _ = model(data, *args, **kwargs)
try:
predict_list = predict.pd_dataframe()["close"].tolist()
except (AssertionError, KeyError):
predict_list = predict.quantile_df()
predict_list = predict_list[predict_list.columns[0]].tolist()
return predict_list, MAPE
def pytest_runtest_setup(item: Node):
if not item.config.getoption("--prediction"):
pytest.skip(msg="Runs only with option : --prediction")