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Code Issues Packages Projects Releases Wiki Activity

Update reports and dashboards with nicer looking examples (#1524)

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This commit is contained in:
Theodore Aptekarev
2022-03-25 18:10:54 +03:00
committed by GitHub
parent 9260856505
commit cfb1eb392f
29 changed files with 1420 additions and 562 deletions
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3
.gitignore vendored
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@@ -19,6 +19,9 @@ gamestonk_terminal/config_plot.py
gamestonk_terminal/config_terminal.py
gamestonk_terminal/feature_flags.py
gamestonk_terminal/jupyter/reports/stored/*
gamestonk_terminal/jupyter/dashboards/.ipynb_checkpoints
gamestonk_terminal/jupyter/reports/.ipynb_checkpoints
gamestonk_terminal/jupyter/widgets/.ipynb_checkpoints
!gamestonk_terminal/jupyter/reports/stored/.gitkeep
!gamestonk_terminal/jupyter/dashboards/*.ipynb
!gamestonk_terminal/jupyter/reports/*.ipynb

111
bots/requirements.txt vendored
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@@ -1,44 +1,44 @@
aiohttp==3.8.1; python_version >= "3.6" and python_full_version >= "3.8.0"
aiosignal==1.2.0; python_version >= "3.6"
aiosignal==1.2.0; python_version >= "3.6" and python_full_version >= "3.8.0"
alabaster==0.7.12; python_version >= "3.7"
alpha-vantage==2.3.1
ansiwrap==0.8.4; python_version >= "3.6"
anyio==3.5.0; python_full_version >= "3.6.2" and python_version >= "3.7"
appnope==0.1.2; platform_system == "Darwin" and python_version >= "3.8" and sys_platform == "darwin"
argon2-cffi-bindings==21.2.0; python_version >= "3.6"
appnope==0.1.2; platform_system == "Darwin" and python_version >= "3.8" and sys_platform == "darwin" and python_full_version >= "3.6.2"
argon2-cffi-bindings==21.2.0; python_version >= "3.7"
argon2-cffi==21.3.0; python_version >= "3.7"
ascii-magic==1.6; python_version >= "3.5"
asgiref==3.5.0; python_version >= "3.7"
astor==0.8.1; python_version >= "3.7" and python_full_version < "3.0.0" or python_full_version >= "3.4.0" and python_version >= "3.7"
astroid==2.9.3; python_full_version >= "3.6.2"
asttokens==2.0.5; python_version >= "3.8"
asttokens==2.0.5; python_full_version >= "3.6.2" and python_version >= "3.8"
async-generator==1.10; python_version >= "3.7" and python_version < "4.0"
async-timeout==4.0.2; python_version >= "3.6"
async-timeout==4.0.2; python_version >= "3.6" and python_full_version >= "3.8.0"
atomicwrites==1.4.0; python_version >= "3.7" and python_full_version < "3.0.0" and sys_platform == "win32" or sys_platform == "win32" and python_version >= "3.7" and python_full_version >= "3.4.0"
attrs==21.4.0; python_version >= "3.7" and python_full_version < "3.0.0" and python_version < "4.0" or python_full_version >= "3.5.0" and python_version >= "3.7" and python_version < "4.0"
attrs==21.4.0; python_full_version >= "3.8.0" and python_version >= "3.7" and (python_version >= "3.7" and python_full_version < "3.0.0" and python_version < "4.0" or python_version >= "3.7" and python_version < "4.0" and python_full_version >= "3.5.0") and (python_version >= "3.6" and python_full_version < "3.0.0" and python_version < "4.0" or python_version >= "3.6" and python_version < "4.0" and python_full_version >= "3.5.0") and (python_version >= "3.7" and python_full_version < "3.0.0" or python_full_version >= "3.5.0" and python_version >= "3.7")
babel==2.9.1; python_version >= "3.7" and python_full_version < "3.0.0" or python_full_version >= "3.4.0" and python_version >= "3.7"
backcall==0.2.0; python_version >= "3.8"
backcall==0.2.0; python_full_version >= "3.6.2" and python_version >= "3.8"
backports.zoneinfo==0.2.1; python_version < "3.9" and python_version >= "3.6" and (python_version >= "3.6" and python_full_version < "3.0.0" or python_full_version >= "3.6.0" and python_version >= "3.6")
bandit==1.7.4; python_version >= "3.7"
beartype==0.7.1; python_version >= "3.8" and python_version < "4.0" and python_full_version >= "3.6.0"
beautifulsoup4==4.10.0; python_full_version > "3.0.0" and python_version >= "3.7"
black==22.1.0; python_full_version >= "3.6.2"
bleach==4.1.0; python_version >= "3.7"
boto3==1.21.22; python_version >= "3.6"
botocore==1.24.22; python_version >= "3.6"
boto3==1.21.25; python_version >= "3.6"
botocore==1.24.25; python_version >= "3.6"
bs4==0.0.1
bt==0.2.9; (python_version >= "2.7" and python_full_version < "3.0.0") or (python_full_version >= "3.6.0")
certifi==2021.10.8; python_version >= "2.7" and python_full_version < "3.0.0" or python_full_version >= "3.6.0" and python_version < "4"
cffi==1.15.0
certifi==2021.10.8; python_full_version >= "3.7.1" and python_version < "4" and python_version >= "3.8" and python_full_version < "4.0.0" and (python_version >= "2.7" and python_full_version < "3.0.0" or python_full_version >= "3.6.0") and (python_version >= "3.7" and python_full_version < "3.0.0" or python_full_version >= "3.6.0" and python_version >= "3.7")
cffi==1.15.0; python_version >= "3.7"
cfgv==3.3.1; python_full_version >= "3.6.1"
charset-normalizer==2.0.12; python_full_version >= "3.6.0" and python_version >= "3.6"
charset-normalizer==2.0.12; python_full_version >= "3.8.0" and python_version >= "3.8" and python_version < "4.0" and python_full_version < "4.0.0" and (python_version >= "2.7" and python_full_version < "3.0.0" or python_full_version >= "3.6.0") and (python_version >= "3.7" and python_full_version < "3.0.0" or python_full_version >= "3.6.0" and python_version >= "3.7")
click==8.0.4; python_version >= "3.7" and python_full_version >= "3.6.2"
codespell==2.1.0; python_version >= "3.5"
colorama==0.4.4; python_full_version >= "3.6.2" and python_full_version < "4.0.0" and (python_version >= "3.5" and python_full_version < "3.0.0" or python_full_version >= "3.5.0" and python_version >= "3.5") and (python_version >= "3.6" and python_full_version < "3.0.0" and sys_platform == "win32" or sys_platform == "win32" and python_version >= "3.6" and python_full_version >= "3.5.0") and sys_platform == "win32" and (python_version >= "3.7" and python_full_version < "3.0.0" and sys_platform == "win32" or sys_platform == "win32" and python_version >= "3.7" and python_full_version >= "3.5.0") and (python_version >= "3.7" and python_full_version < "3.0.0" and platform_system == "Windows" or platform_system == "Windows" and python_version >= "3.7" and python_full_version >= "3.5.0") and (python_version >= "2.7" and python_full_version < "3.0.0" and platform_system == "Windows" or python_full_version >= "3.5.0" and platform_system == "Windows") and (python_version >= "3.6" and python_full_version < "3.0.0" and platform_system == "Windows" or platform_system == "Windows" and python_version >= "3.6" and python_full_version >= "3.5.0") and (python_version >= "3.8" and python_full_version < "3.0.0" and sys_platform == "win32" or sys_platform == "win32" and python_version >= "3.8" and python_full_version >= "3.5.0")
colorama==0.4.4; python_full_version >= "3.6.2" and python_full_version < "4.0.0" and (python_version >= "3.5" and python_full_version < "3.0.0" or python_full_version >= "3.5.0" and python_version >= "3.5") and (python_version >= "3.6" and python_full_version < "3.0.0" and sys_platform == "win32" or sys_platform == "win32" and python_version >= "3.6" and python_full_version >= "3.5.0") and sys_platform == "win32" and (python_version >= "3.7" and python_full_version < "3.0.0" and sys_platform == "win32" or sys_platform == "win32" and python_version >= "3.7" and python_full_version >= "3.5.0") and (python_version >= "3.7" and python_full_version < "3.0.0" and platform_system == "Windows" or platform_system == "Windows" and python_version >= "3.7" and python_full_version >= "3.5.0") and (python_version >= "3.6" and python_full_version < "3.0.0" and platform_system == "Windows" or python_full_version >= "3.5.0" and platform_system == "Windows" and python_version >= "3.6") and platform_system == "Windows" and python_version >= "3.8"
commonmark==0.9.1; python_full_version >= "3.6.2" and python_full_version < "4.0.0"
convertdate==2.4.0; python_version >= "3.7" and python_version < "4"
coverage==6.3.2; python_version >= "3.7"
cryptography==36.0.2; python_version >= "3.6" and python_full_version < "3.0.0" or python_full_version >= "3.6.0" and python_version < "4" and python_version >= "3.6"
cryptography==36.0.2; python_version >= "3.7" and python_full_version < "3.0.0" and python_version < "4.0" or python_full_version >= "3.6.0" and python_version < "4" and python_version >= "3.7"
cssselect==1.1.0; python_version >= "2.7" and python_full_version < "3.0.0" or python_full_version >= "3.4.0"
cvxpy==1.2.0; python_full_version >= "3.6.1" and python_full_version < "4.0.0" and python_version >= "3.7"
cycler==0.11.0; python_version >= "3.7"
@@ -46,7 +46,7 @@ cython==0.29.28; python_version >= "3.7" and python_full_version < "3.0.0" and s
dateparser==1.1.1; python_version >= "3.5"
datetime==4.4; python_version >= "3.5"
debugpy==1.5.1; python_version >= "3.7" and python_full_version < "3.0.0" or python_full_version >= "3.5.0" and python_version >= "3.7"
decorator==5.1.1; python_version >= "3.8" and python_full_version < "3.0.0" or python_full_version >= "3.6.0" and python_version >= "3.8"
decorator==5.1.1; python_full_version >= "3.6.2" and python_version >= "3.8" and (python_version >= "3.5" and python_full_version < "3.0.0" or python_full_version >= "3.6.0" and python_version >= "3.5")
defusedxml==0.7.1; python_version >= "3.7" and python_full_version < "3.0.0" or python_full_version >= "3.5.0" and python_version >= "3.7"
degiro-connector==2.0.18; python_full_version >= "3.7.1" and python_full_version < "4.0.0"
deprecation==2.1.0
@@ -56,10 +56,10 @@ distlib==0.3.4; python_full_version >= "3.6.1"
dnspython==2.2.1; python_version >= "3.6" and python_version < "4.0"
docutils==0.16; python_version >= "3.7" and python_full_version < "3.0.0" or python_full_version >= "3.5.0" and python_version >= "3.7"
ecos==2.0.10; python_full_version >= "3.6.1" and python_full_version < "4.0.0" and python_version >= "3.7"
entrypoints==0.4; python_full_version >= "3.6.1" and python_version >= "3.7"
entrypoints==0.4; python_full_version >= "3.7.0" and python_version >= "3.7"
et-xmlfile==1.1.0; python_version >= "3.6"
exchange-calendars==3.6.1; python_version >= "3.7" and python_full_version >= "3.7.0"
executing==0.8.3; python_version >= "3.8"
executing==0.8.3; python_full_version >= "3.6.2" and python_version >= "3.8"
fastapi==0.73.0; python_full_version >= "3.6.1"
fear-greed-index==0.1.4; python_version >= "3.7"
ffn==0.3.6; python_version >= "2.7" and python_full_version < "3.0.0" or python_full_version >= "3.6.0"
@@ -69,26 +69,26 @@ finnhub-python==2.4.11
finviz==1.4.4
finvizfinance==0.12.2; python_version >= "3.5"
flake8==3.9.2; (python_version >= "2.7" and python_full_version < "3.0.0") or (python_full_version >= "3.5.0")
fonttools==4.31.1; python_version >= "3.7"
fonttools==4.31.2; python_version >= "3.7"
formulaic==0.3.2; python_version >= "3.7"
fred==3.1
fredapi==0.4.3
frozendict==2.3.0; python_version >= "3.6"
frozenlist==1.3.0; python_version >= "3.7"
frozenlist==1.3.0; python_version >= "3.7" and python_full_version >= "3.8.0"
fundamentalanalysis==0.2.12
future==0.18.2; python_version >= "2.7" and python_full_version < "3.0.0" or python_full_version >= "3.6.0"
gitdb==4.0.9; python_version >= "3.7"
gitpython==3.1.27; python_version >= "3.7"
grpcio==1.44.0; python_full_version >= "3.7.1" and python_full_version < "4.0.0" and python_version >= "3.6"
grpcio==1.45.0; python_full_version >= "3.7.1" and python_full_version < "4.0.0" and python_version >= "3.6"
h11==0.13.0; python_version >= "3.7" and python_version < "4.0" and python_full_version >= "3.7.0"
hijri-converter==2.2.3; python_version >= "3.6"
holidays==0.11.3.1; python_version >= "3.6"
identify==2.4.12; python_version >= "3.7" and python_full_version >= "3.6.1"
idna==3.3; python_full_version >= "3.6.2" and python_version >= "3.7" and python_version < "4"
idna==3.3; python_full_version >= "3.8.0" and python_version >= "3.8" and python_version < "4" and python_full_version < "4.0.0" and (python_version >= "2.7" and python_full_version < "3.0.0" or python_full_version >= "3.6.0") and (python_version >= "3.7" and python_full_version < "3.0.0" or python_full_version >= "3.6.0" and python_version >= "3.7")
imagesize==1.3.0; python_version >= "3.7" and python_full_version < "3.0.0" or python_full_version >= "3.4.0" and python_version >= "3.7"
inflection==0.5.1; python_version >= "3.6"
iniconfig==1.1.1; python_version >= "3.7"
interface-meta==1.2.4; python_version >= "3.7"
interface-meta==1.2.5; python_version >= "3.7"
investpy==1.0.8; python_version >= "3.7"
ipykernel==6.9.2; python_version >= "3.7"
ipympl==0.8.8
@@ -97,22 +97,22 @@ ipython==8.1.1; python_full_version >= "3.6.2" and python_version >= "3.8"
ipywidgets==7.7.0
iso8601==0.1.16
isort==5.10.1; python_full_version >= "3.6.2" and python_version < "4.0"
jedi==0.18.1; python_version >= "3.8"
jinja2==3.0.3; python_version >= "3.7"
jedi==0.18.1; python_full_version >= "3.6.2" and python_version >= "3.8"
jinja2==3.1.0; python_version >= "3.7"
jmespath==1.0.0; python_version >= "3.7"
joblib==1.1.0; python_version >= "3.7"
joblib==1.1.0; python_version >= "3.7" and python_full_version < "3.0.0" or python_full_version >= "3.6.0" and python_version >= "3.7"
json5==0.9.6; python_version >= "3.7"
jsonschema==3.2.0
jupyter-client==7.1.2; python_full_version >= "3.7.0" and python_version >= "3.7"
jupyter-console==6.4.3; python_version >= "3.6"
jupyter-core==4.9.2; python_full_version >= "3.6.1" and python_version >= "3.7"
jupyter-core==4.9.2; python_full_version >= "3.7.0" and python_version >= "3.7"
jupyter-server==1.15.6; python_version >= "3.7"
jupyter==1.0.0
jupyterlab-pygments==0.1.2; python_version >= "3.7"
jupyterlab-server==2.11.2; python_version >= "3.7"
jupyterlab-widgets==1.1.0; python_version >= "3.6"
jupyterlab==3.3.2; python_version >= "3.7"
kaleido==0.2.1; python_version >= "3.8" and python_version < "4.0"
kaleido==0.2.1.post1
kiwisolver==1.4.0; python_version >= "3.7"
korean-lunar-calendar==0.2.1; python_version >= "3.7" and python_full_version >= "3.7.0"
lazy-object-proxy==1.7.1; python_version >= "3.6" and python_full_version >= "3.6.2"
@@ -121,7 +121,7 @@ lxml==4.8.0; python_version >= "3.7" and python_full_version < "3.0.0" or python
m2r2==0.2.8; python_version >= "3.7"
markdown-it-py==1.1.0; python_version >= "3.6" and python_version < "4.0"
markupsafe==2.1.1; python_version >= "3.7"
matplotlib-inline==0.1.3; python_version >= "3.8"
matplotlib-inline==0.1.3; python_full_version >= "3.6.2" and python_version >= "3.8"
matplotlib==3.5.1; python_version >= "3.7"
mccabe==0.6.1; python_full_version >= "3.6.2"
mdit-py-plugins==0.2.8; python_version >= "3.6" and python_version < "4.0"
@@ -129,11 +129,12 @@ mistune==0.8.4; python_version >= "3.7"
mock==4.0.3; python_version >= "3.6"
more-itertools==8.12.0; python_version >= "3.6"
mplfinance==0.12.8b9
multidict==6.0.2; python_version >= "3.7"
multidict==6.0.2; python_version >= "3.7" and python_full_version >= "3.8.0"
multitasking==0.0.10
mypy-extensions==0.4.3; python_version >= "3.7" and python_full_version >= "3.6.2"
mypy==0.930; python_version >= "3.6"
myst-parser==0.15.2; python_version >= "3.6"
natsort==8.1.0; python_version >= "3.6"
nbclassic==0.3.7; python_version >= "3.7"
nbclient==0.5.13; python_full_version >= "3.7.0" and python_version >= "3.7"
nbconvert==6.4.4; python_version >= "3.7"
@@ -156,12 +157,12 @@ pandas-ta==0.3.14b
pandas==1.3.5; python_full_version >= "3.7.1"
pandocfilters==1.5.0; python_version >= "3.7" and python_full_version < "3.0.0" or python_full_version >= "3.4.0" and python_version >= "3.7"
papermill==2.3.4; python_version >= "3.6"
parso==0.8.3; python_version >= "3.8"
parso==0.8.3; python_full_version >= "3.6.2" and python_version >= "3.8"
pathspec==0.9.0; python_full_version >= "3.6.2"
patsy==0.5.2; python_version >= "3.7"
pbr==5.8.1; python_version >= "3.7"
pexpect==4.8.0; sys_platform != "win32" and python_version >= "3.8"
pickleshare==0.7.5; python_version >= "3.8"
pexpect==4.8.0; sys_platform != "win32" and python_version >= "3.8" and python_full_version >= "3.6.2"
pickleshare==0.7.5; python_full_version >= "3.6.2" and python_version >= "3.8"
pillow==9.0.1; python_version >= "3.7" and python_version < "4"
platformdirs==2.5.1; python_version >= "3.7" and python_full_version >= "3.6.2"
plotly==5.6.0; python_version >= "3.6"
@@ -176,14 +177,14 @@ property-cached==1.6.4; python_version >= "3.7"
protobuf==3.19.4; python_full_version >= "3.7.1" and python_full_version < "4.0.0" and python_version >= "3.5"
psaw==0.0.12; python_version >= "3"
psutil==5.9.0; python_version >= "3.7" and python_full_version < "3.0.0" or python_full_version >= "3.4.0" and python_version >= "3.7"
ptyprocess==0.7.0; os_name != "nt" and python_version >= "3.8" and sys_platform != "win32"
pure-eval==0.2.2; python_version >= "3.8"
py==1.11.0; python_version >= "3.7" and python_full_version < "3.0.0" and implementation_name == "pypy" or python_full_version >= "3.5.0" and python_version >= "3.7" and implementation_name == "pypy"
ptyprocess==0.7.0; os_name != "nt" and python_version >= "3.8" and sys_platform != "win32" and python_full_version >= "3.6.2"
pure-eval==0.2.2; python_full_version >= "3.6.2" and python_version >= "3.8"
py==1.11.0; python_full_version >= "3.7.0" and python_version >= "3.7" and implementation_name == "pypy"
pyally==1.1.2
pycodestyle==2.7.0; python_version >= "2.7" and python_full_version < "3.0.0" or python_full_version >= "3.5.0"
pycoingecko==2.2.0
pycparser==2.21; python_version >= "3.6" and python_full_version < "3.0.0" or python_full_version >= "3.4.0" and python_version >= "3.6"
pydantic==1.9.0; python_full_version >= "3.6.1"
pycparser==2.21; python_version >= "3.7" and python_full_version < "3.0.0" and python_version < "4.0" and os_name == "nt" and implementation_name != "pypy" or python_full_version >= "3.6.0" and python_version < "4" and python_version >= "3.7" and os_name == "nt" and implementation_name != "pypy"
pydantic==1.8.2; python_full_version >= "3.6.1"
pyex==0.5.0
pyflakes==2.3.1; python_version >= "2.7" and python_full_version < "3.0.0" or python_full_version >= "3.5.0"
pygments==2.11.2; python_version >= "3.5"
@@ -196,13 +197,13 @@ pymongo==3.11.0; (python_version >= "2.7" and python_full_version < "3.0.0") or
pynacl==1.5.0; python_version >= "3.6"
pyobjc-core==8.4.1; python_version >= "3.6" and sys_platform == "darwin"
pyobjc-framework-cocoa==8.4.1; python_version >= "3.6" and sys_platform == "darwin"
pyopenssl==22.0.0; python_version >= "3.6" and python_full_version < "3.0.0" or python_full_version >= "3.6.0" and python_version < "4" and python_version >= "3.6"
pyopenssl==22.0.0; python_version >= "3.7" and python_full_version < "3.0.0" and python_version < "4.0" or python_full_version >= "3.6.0" and python_version < "4" and python_version >= "3.7"
pyotp==2.6.0; python_version >= "3"
pyparsing==3.0.7; python_version >= "3.7"
pyportfolioopt==1.5.1; python_full_version >= "3.6.1" and python_full_version < "4.0.0"
pyportfolioopt==1.5.2; python_full_version >= "3.6.1" and python_full_version < "4.0.0"
pyprind==2.11.3; python_version >= "2.7" and python_full_version < "3.0.0" or python_full_version >= "3.6.0"
pyrsistent==0.18.1; python_version >= "3.7"
pysocks==1.7.1; python_version >= "2.7" and python_full_version < "3.0.0" or python_full_version >= "3.6.0" and python_version < "4"
pysocks==1.7.1; python_version >= "3.7" and python_full_version < "3.0.0" and python_version < "4.0" or python_full_version >= "3.6.0" and python_version < "4" and python_version >= "3.7"
pytelegrambotapi==4.4.0
pytest-cov==3.0.0; python_version >= "3.6"
pytest-mock==3.7.0; python_version >= "3.7"
@@ -210,16 +211,16 @@ pytest-recording==0.12.0; python_version >= "3.5"
pytest==6.2.5; python_version >= "3.6"
python-binance==1.0.15
python-coinmarketcap==0.2
python-dateutil==2.8.2; python_full_version >= "3.7.1" and python_version >= "3.7" and (python_version >= "3.7" and python_full_version < "3.0.0" or python_full_version >= "3.3.0" and python_version >= "3.7") and (python_version >= "3.5" and python_full_version < "3.0.0" or python_full_version >= "3.3.0" and python_version >= "3.5") and (python_version >= "3.6" and python_full_version < "3.0.0" or python_full_version >= "3.3.0" and python_version >= "3.6")
python-dateutil==2.8.2; python_full_version >= "3.7.1" and python_version >= "3.7" and python_full_version < "4.0.0" and (python_version >= "3.7" and python_full_version < "3.0.0" or python_full_version >= "3.3.0" and python_version >= "3.7") and (python_version >= "3.5" and python_full_version < "3.0.0" or python_full_version >= "3.3.0" and python_version >= "3.5") and (python_version >= "3.6" and python_full_version < "3.0.0" or python_full_version >= "3.3.0" and python_version >= "3.6")
python-dotenv==0.19.2; python_version >= "3.5"
pytrends==4.8.0
pytz-deprecation-shim==0.1.0.post0; python_version >= "3.6" and python_full_version < "3.0.0" or python_full_version >= "3.6.0" and python_version >= "3.6"
pytz==2022.1; python_full_version >= "3.7.1" and python_version >= "3.7" and (python_version >= "3.7" and python_full_version < "3.0.0" or python_full_version >= "3.4.0" and python_version >= "3.7")
pytz==2022.1; python_full_version >= "3.7.1" and python_version >= "3.7" and python_full_version < "4.0.0" and (python_version >= "3.7" and python_full_version < "3.0.0" or python_full_version >= "3.4.0" and python_version >= "3.7")
pyupgrade==2.31.1; python_version >= "3.7"
pywin32==303; sys_platform == "win32" and platform_python_implementation != "PyPy" and python_version >= "3.7"
pywin32==303; sys_platform == "win32" and platform_python_implementation != "PyPy" and python_version >= "3.7" and python_full_version >= "3.7.0"
pywinpty==2.0.5; os_name == "nt" and python_version >= "3.7"
pyyaml==6.0; python_version >= "3.7" and python_full_version >= "3.6.1"
pyzmq==22.3.0; python_full_version >= "3.6.1" and python_version >= "3.7"
pyzmq==22.3.0; python_full_version >= "3.7.0" and python_version >= "3.7"
qdldl==0.1.5.post0; python_full_version >= "3.6.1" and python_full_version < "4.0.0" and python_version >= "3.7"
qtconsole==5.2.2; python_version >= "3.6"
qtpy==2.0.1; python_version >= "3.6"
@@ -233,7 +234,7 @@ rich==10.16.2; python_full_version >= "3.6.2" and python_full_version < "4.0.0"
robin-stocks==2.1.0; python_version >= "3"
s3transfer==0.5.2; python_version >= "3.6"
scikit-learn==1.0.2; python_version >= "3.7" and python_full_version < "3.0.0" or python_full_version >= "3.6.0" and python_version >= "3.7"
scipy==1.8.0; python_version >= "3.8" and python_version < "3.11" and python_full_version >= "3.6.1" and python_full_version < "4.0.0" and (python_version >= "2.7" and python_full_version < "3.0.0" or python_full_version >= "3.6.0")
scipy==1.8.0; python_version >= "3.8" and python_version < "3.11" and python_full_version >= "3.6.1" and python_full_version < "4.0.0" and (python_version >= "2.7" and python_full_version < "3.0.0" or python_full_version >= "3.6.0") and (python_version >= "3.7" and python_full_version < "3.0.0" or python_full_version >= "3.6.0" and python_version >= "3.7")
screeninfo==0.6.7
scs==3.2.0; python_full_version >= "3.6.1" and python_full_version < "4.0.0" and python_version >= "3.7"
seaborn==0.11.2; python_version >= "3.6"
@@ -241,7 +242,7 @@ selenium==4.1.3; python_version >= "3.7" and python_version < "4.0"
send2trash==1.8.0; python_version >= "3.7"
sentiment-investor==2.1.0; python_version >= "3.8" and python_version < "4.0"
setuptools-scm==6.4.2; python_version >= "3.7"
six==1.16.0; python_full_version >= "3.7.1" and python_version >= "3.7" and python_full_version < "4.0.0" and (python_version >= "3.8" and python_full_version < "3.0.0" and python_version < "4.0" or python_version >= "3.8" and python_version < "4.0" and python_full_version >= "3.3.0") and (python_version >= "3.5" and python_full_version < "3.0.0" or python_full_version >= "3.3.0" and python_version >= "3.5") and (python_version >= "3.7" and python_full_version < "3.0.0" or python_full_version >= "3.3.0" and python_version >= "3.7") and (python_version >= "3.8" and python_full_version < "3.0.0" or python_full_version >= "3.3.0" and python_version >= "3.8")
six==1.16.0; python_full_version >= "3.7.1" and python_version >= "3.8" and python_full_version < "4.0.0" and (python_version >= "3.7" and python_full_version < "3.0.0" or python_full_version >= "3.3.0" and python_version >= "3.7") and (python_version >= "2.7" and python_full_version < "3.0.0" or python_full_version >= "3.3.0") and (python_version >= "3.5" and python_full_version < "3.0.0" or python_full_version >= "3.3.0" and python_version >= "3.5")
slack-bolt==1.13.0; python_version >= "3.6"
slack-sdk==3.15.2; python_full_version >= "3.6.0" and python_version >= "3.6"
smmap==5.0.0; python_version >= "3.7"
@@ -260,24 +261,24 @@ sphinxcontrib-qthelp==1.0.3; python_version >= "3.7"
sphinxcontrib-serializinghtml==1.1.5; python_version >= "3.7"
squarify==0.4.3
sseclient==0.0.27
stack-data==0.2.0; python_version >= "3.8"
stack-data==0.2.0; python_full_version >= "3.6.2" and python_version >= "3.8"
starlette==0.17.1; python_version >= "3.6" and python_full_version >= "3.6.1"
statsmodels==0.13.2; python_version >= "3.7"
stevedore==3.5.0; python_version >= "3.7"
tabulate==0.8.9; python_version >= "2.7" and python_full_version < "3.0.0" or python_full_version >= "3.6.0"
temporal-cache==0.1.4
tenacity==8.0.1; python_version >= "3.8" and python_version < "4.0"
tenacity==8.0.1; python_version >= "3.6"
terminado==0.13.3; python_version >= "3.7"
testpath==0.6.0; python_version >= "3.7"
textwrap3==0.9.2; python_version >= "3.6"
thepassiveinvestor==1.0.10
threadpoolctl==3.1.0; python_version >= "3.7"
threadpoolctl==3.1.0; python_version >= "3.7" and python_full_version < "3.0.0" or python_full_version >= "3.6.0" and python_version >= "3.7"
tokenize-rt==4.2.1; python_full_version >= "3.6.2" and python_version >= "3.7"
toml==0.10.2; python_full_version >= "3.6.2" and python_version >= "3.6" and (python_version >= "3.7" and python_full_version < "3.0.0" or python_full_version >= "3.3.0" and python_version >= "3.7")
tomli==2.0.1; python_version >= "3.7" and python_full_version >= "3.6.2"
toolz==0.11.2; python_version >= "3.7" and python_full_version >= "3.7.0"
tornado==6.1; python_full_version >= "3.6.1" and python_version >= "3.7"
tqdm==4.63.0; python_version >= "3.6" and python_full_version < "3.0.0" or python_full_version >= "3.4.0" and python_version >= "3.6"
tornado==6.1; python_full_version >= "3.7.0" and python_version >= "3.7"
tqdm==4.63.1; python_version >= "3.6" and python_full_version < "3.0.0" or python_full_version >= "3.4.0" and python_version >= "3.6"
tradingview-ta==3.2.10; python_version >= "3.6"
traitlets==5.1.1; python_full_version >= "3.7.0" and python_version >= "3.8"
trio-websocket==0.9.2; python_version >= "3.7" and python_version < "4.0"
@@ -295,21 +296,21 @@ ujson==5.1.0; python_version >= "3.7"
undetected-chromedriver==3.1.5.post4
unidecode==1.3.4; python_version >= "3.7"
update-checker==0.18.0; python_version >= "3.6" and python_version < "4.0"
urllib3==1.26.9; python_version >= "3.7" and python_full_version < "3.0.0" and python_version < "4.0" or python_full_version >= "3.6.0" and python_version < "4" and python_version >= "3.7"
urllib3==1.26.9; python_full_version >= "3.7.1" and python_version < "4" and python_version >= "3.8" and python_full_version < "4.0.0" and (python_version >= "2.7" and python_full_version < "3.0.0" or python_full_version >= "3.6.0") and (python_version >= "3.7" and python_full_version < "3.0.0" or python_full_version >= "3.6.0" and python_version >= "3.7") and (python_version >= "3.7" and python_full_version < "3.0.0" and python_version < "4.0" or python_full_version >= "3.5.0" and python_version < "4" and python_version >= "3.7") and (python_version >= "3.6" and python_full_version < "3.0.0" or python_full_version >= "3.5.0" and python_version < "4" and python_version >= "3.6")
user-agent==0.1.10
uvicorn==0.17.6; python_version >= "3.7"
vadersentiment==3.3.2
valinvest==0.0.2; python_version >= "3.6"
vcrpy==4.1.1; python_version >= "3.5"
virtualenv==20.13.4; python_full_version >= "3.6.1"
voila==0.3.3; python_version >= "3.7"
wcwidth==0.2.5; python_full_version >= "3.6.2" and python_version >= "3.6"
voila==0.3.4; python_version >= "3.7"
wcwidth==0.2.5; python_full_version >= "3.6.2" and python_version >= "3.8"
webencodings==0.5.1; python_version >= "3.7"
websocket-client==1.3.1; python_version >= "3.8" and python_version < "4.0"
websockets==9.1; python_full_version >= "3.6.1" and python_version >= "3.7"
widgetsnbextension==3.6.0
wrapt==1.13.3; python_full_version >= "3.7.1" and python_full_version < "4.0.0" and (python_version >= "3.5" and python_full_version < "3.0.0" or python_full_version >= "3.5.0" and python_version >= "3.5") and (python_version >= "3.7" and python_full_version < "3.0.0" or python_full_version >= "3.5.0" and python_version >= "3.7")
wsproto==1.1.0; python_version >= "3.7" and python_version < "4.0" and python_full_version >= "3.7.0"
yarl==1.7.2; python_version >= "3.6"
yarl==1.7.2; python_version >= "3.6" and python_full_version >= "3.8.0"
yfinance==0.1.70
zope.interface==5.4.0; python_version >= "3.5" and python_full_version < "3.0.0" or python_full_version >= "3.5.0" and python_version >= "3.5"

9
example.gst vendored
View File

@@ -1,9 +0,0 @@
stocks
load pltr
dd
pt
rot
../ins
stats
../ta
fib

1
gamestonk_terminal/api.py
View File

@@ -10,5 +10,6 @@ from .etf import etf_api as etf
from .forex import forex_api as forex
from .mutual_funds import mutual_fund_api as funds
from .portfolio import portfolio_api as portfolio
from .jupyter import widget_helpers as widgets
from .config_terminal import theme

7
gamestonk_terminal/cryptocurrency/crypto_api.py
View File

@@ -1,4 +1,7 @@
"""Crypto context API."""
import os
from gamestonk_terminal.helper_classes import ModelsNamespace as _models
# flake8: noqa
# pylint: disable=unused-import
@@ -7,6 +10,7 @@ from .cryptocurrency_helpers import display_all_coins as coins
from .cryptocurrency_helpers import load
from .cryptocurrency_helpers import find
from .cryptocurrency_helpers import plot_chart as chart
from .cryptocurrency_helpers import plot_candles as candle
# Context menus
from .defi import defi_api as defi
@@ -25,3 +29,6 @@ try:
except Exception:
# print("Prediction API is not available.")
pass
# Models
models = _models(os.path.abspath(os.path.dirname(__file__)))

4
gamestonk_terminal/cryptocurrency/cryptocurrency_helpers.py
View File

@@ -1008,7 +1008,7 @@ def plot_candles(
}
# This plot has 2 axes
if not external_axes:
if external_axes is None:
candle_chart_kwargs["returnfig"] = True
candle_chart_kwargs["figratio"] = (10, 7)
candle_chart_kwargs["figscale"] = 1.10
@@ -1036,7 +1036,7 @@ def plot_candles(
(ax, volume) = external_axes
candle_chart_kwargs["volume"] = volume
else:
ax = external_axes
ax = external_axes[0]
candle_chart_kwargs["ax"] = ax

2
gamestonk_terminal/helper_funcs.py
View File

@@ -1108,7 +1108,7 @@ def check_file_type_saved(valid_types: List[str] = None):
Parameters
----------
filenames: str
filneames to be saved separated with comma
filenames to be saved separated with comma
Returns
-------

160
gamestonk_terminal/jupyter/dashboards/crypto.ipynb vendored Normal file
View File

@@ -0,0 +1,160 @@
{
"cells": [
{
"cell_type": "markdown",
"id": "6e198e40-0c33-45b3-a79b-2d9ee9eff7b9",
"metadata": {
"tags": []
},
"source": [
"# Cryptocurrency exchange rates to USD ($)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "da655985-c9b7-492e-aefa-fbe3bc1865d5",
"metadata": {},
"outputs": [],
"source": [
"import json\n",
"import os\n",
"\n",
"import ipywidgets as ipw\n",
"from IPython.display import display\n",
"import pandas as pd\n",
"\n",
"from gamestonk_terminal import api as gst\n",
"\n",
"ipw.HTML(f\"<style>{gst.widgets.price_card_stylesheet()}</style>\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "dcbbf867-af50-4d06-ae5c-7c09647aa55d",
"metadata": {},
"outputs": [],
"source": [
"COIN_LIST = (\n",
" \"BTC,ETH,USDT,BNB,USDC,XRP,LUNA,ADA,\"\n",
" + \"SOL,AVAX,DOT,BUSD,DOGE,UST,SHIB,WBTC,\"\n",
" + \"MATIC,CRO,DAI,LTC,ATOM,NEAR,LINK,BCH,\"\n",
" + \"UNI,TRX,FTT,ETC,LEO,ALGO,XLM,MANA,\"\n",
" + \"BTCB,HBAR,EGLD,ICP,SAND,XMR,WAVES,VET,\"\n",
" + \"APE,FIL,FTM,AXS,THETA,KLAY,XTZ,RUNE\"\n",
").split(\",\")\n",
"exchange_rates = {}"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "deeeb80a-3675-44fb-9a1b-2325d8da4e7d",
"metadata": {},
"outputs": [],
"source": [
"def get_exchange_rate(coin: str, days: int = 2):\n",
" \"\"\"Get exchange rate for a cryptocurrency agains USD.\"\"\"\n",
" (_, _, _, _, current_df, _,) = gst.crypto.load(\n",
" coin=coin,\n",
" source=\"cp\",\n",
" days=days,\n",
" vs=\"usd\",\n",
" interval=\"1day\",\n",
" should_load_ta_data=True,\n",
" )\n",
" price_color = \"neutral_color\"\n",
" if current_df[\"Close\"].iloc[-1] > current_df[\"Close\"].iloc[-2]:\n",
" price_color = \"up_color\"\n",
" elif current_df[\"Close\"].iloc[-1] < current_df[\"Close\"].iloc[-2]:\n",
" price_color = \"down_color\"\n",
" price = str(current_df[\"Close\"].iloc[-1])[:7]\n",
"\n",
" return price, price_color"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "18acf5cb-6cbf-484d-8042-107c030098de",
"metadata": {},
"outputs": [],
"source": [
"def show_rates(btn):\n",
" \"\"\"Show exchange rates in grid box widget.\"\"\"\n",
" grid.children = ()\n",
" for coin in COIN_LIST:\n",
" if coin not in exchange_rates.keys():\n",
" exchange_rates[coin] = {\"price\": None, \"color\": None}\n",
" try:\n",
" price, price_color = get_exchange_rate(coin=coin)\n",
" except:\n",
" price, price_color = \"-------\", \"neutral_color\"\n",
" widgets = list(grid.children)\n",
" widgets.append(\n",
" ipw.HTML(\n",
" gst.widgets.price_card(\n",
" ticker=coin,\n",
" price=price,\n",
" price_color=price_color,\n",
" )\n",
" )\n",
" )\n",
" grid.children = tuple(widgets)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "cf2021e9-de8a-466e-b341-fcd6abda64b5",
"metadata": {},
"outputs": [],
"source": [
"update_rates = ipw.Button(description=\"Update rates\")\n",
"update_rates.on_click(show_rates)\n",
"header = ipw.HBox([update_rates])\n",
"\n",
"layout = ipw.Layout(grid_template_columns=\"1fr \" * 8)\n",
"grid = ipw.GridBox(\n",
" [],\n",
" layout=layout,\n",
")\n",
"\n",
"display(header, grid)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "19dfcbfe-eaec-406e-bb3c-72d1b3538a6e",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.12"
},
"voila": {
"theme": "dark"
}
},
"nbformat": 4,
"nbformat_minor": 5
}

21
gamestonk_terminal/jupyter/dashboards/dashboards_controller.py
View File

@@ -25,7 +25,14 @@ logger = logging.getLogger(__name__)
class DashboardsController(BaseController):
"""Dashboards Controller class"""
CHOICES_COMMANDS = ["stocks", "correlation", "vsurf", "chains", "shortdata"]
CHOICES_COMMANDS = [
"stocks",
"correlation",
"vsurf",
"chains",
"shortdata",
"crypto",
]
PATH = "/jupyter/dashboards/"
def __init__(self, queue: List[str] = None):
@@ -43,7 +50,8 @@ class DashboardsController(BaseController):
correlation stock correlations
vsurf options volatility surface
chains options chain analysis
shortdata finra shortdata analysis[/cmds]
shortdata finra shortdata analysis
crypto cryptocurrency exchange rates against USD[/cmds]
"""
console.print(text=help_text, menu="Jupyter - Dashboards")
@@ -64,14 +72,19 @@ class DashboardsController(BaseController):
@log_start_end(log=logger)
def call_chains(self, other_args: List[str]):
"""Process vsurf command"""
"""Process chains command"""
create_call(other_args, "chains", "")
@log_start_end(log=logger)
def call_shortdata(self, other_args: List[str]):
"""Process vsurf command"""
"""Process shortdata command"""
create_call(other_args, "shortdata", "")
@log_start_end(log=logger)
def call_crypto(self, other_args: List[str]):
"""Process crypto command"""
create_call(other_args, "crypto", "")
def create_call(other_args: List[str], name: str, filename: str = None) -> None:
filename = filename if filename else name

299
gamestonk_terminal/jupyter/reports/due_diligence.ipynb vendored
View File

@@ -1,299 +0,0 @@
{
"cells": [
{
"cell_type": "code",
"execution_count": null,
"id": "phantom-facility",
"metadata": {},
"outputs": [],
"source": [
"# Import most generic modules\n",
"import importlib\n",
"import pathlib\n",
"import os\n",
"import sys\n",
"from datetime import datetime, timedelta\n",
"import pandas as pd\n",
"from IPython.display import display, Markdown\n",
"import warnings\n",
"\n",
"warnings.filterwarnings(\"ignore\")\n",
"module_path = os.path.abspath(os.path.join(\"../..\"))\n",
"\n",
"if module_path not in sys.path:\n",
" sys.path.append(module_path)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "compact-count",
"metadata": {
"tags": [
"parameters"
]
},
"outputs": [],
"source": [
"# Parameters that will be replaced when calling this notebook\n",
"ticker = \"AAPL\"\n",
"\n",
"report_name = (\n",
" f\"{datetime.now().strftime('%Y%m%d_%H%M%S')}_due_diligence_{ticker.upper()}\"\n",
")"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "possible-constraint",
"metadata": {},
"outputs": [],
"source": [
"display(\n",
" Markdown(\n",
" f\"# {ticker.upper()} - Due Diligence - {datetime.now().strftime('%Y/%m/%d %H:%M:%S')}\"\n",
" )\n",
")"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "3a473d25",
"metadata": {},
"outputs": [],
"source": [
"base_path = os.path.abspath(os.path.join(\".\"))\n",
"report_cache_dir = pathlib.Path(base_path, \"stored\")\n",
"\n",
"if not os.path.isdir(report_cache_dir):\n",
" print(\"Reports data directory not found.\")\n",
" print(f\"Creating {report_cache_dir}\")\n",
" os.mkdir(report_cache_dir)\n",
"else:\n",
" print(f\"Found reports directory {report_cache_dir}\")"
]
},
{
"cell_type": "markdown",
"id": "temporal-clerk",
"metadata": {},
"source": [
"## Candle View"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "d783ed59-1fb2-44f2-b4b0-bfdfee9afcb6",
"metadata": {},
"outputs": [],
"source": [
"from gamestonk_terminal.stocks import stocks_helper\n",
"\n",
"df_stock_cache = pathlib.Path(report_cache_dir, f\"{ticker}_stock_data.pkl\")\n",
"if os.path.isfile(df_stock_cache):\n",
" print(f\"Found a cache file. Loading {df_stock_cache}\")\n",
" df_stock = pd.read_pickle(df_stock_cache)\n",
"else:\n",
" print(\"Cache file not found. Getting data.\")\n",
" df_stock = stocks_helper.load_ticker(\n",
" ticker, (datetime.now() - timedelta(days=180)).strftime(\"%Y-%m-%d\")\n",
" )\n",
" df_stock = stocks_helper.find_trendline(df_stock, \"OC_High\", \"high\")\n",
" df_stock = stocks_helper.find_trendline(df_stock, \"OC_Low\", \"low\")\n",
" print(f\"Saving cache file {ticker}_stock_data.pkl\")\n",
" df_stock.to_pickle(df_stock_cache)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "transsexual-trance",
"metadata": {},
"outputs": [],
"source": [
"import mplfinance as mpf\n",
"\n",
"mc = mpf.make_marketcolors(\n",
" up=\"green\", down=\"red\", edge=\"black\", wick=\"black\", volume=\"in\", ohlc=\"i\"\n",
")\n",
"s = mpf.make_mpf_style(marketcolors=mc, gridstyle=\":\", y_on_right=True)\n",
"\n",
"ap0 = []\n",
"\n",
"if \"OC_High_trend\" in df_stock.columns:\n",
" ap0.append(\n",
" mpf.make_addplot(df_stock[\"OC_High_trend\"], color=\"g\"),\n",
" )\n",
"\n",
"if \"OC_Low_trend\" in df_stock.columns:\n",
" ap0.append(\n",
" mpf.make_addplot(df_stock[\"OC_Low_trend\"], color=\"b\"),\n",
" )\n",
"\n",
"mpf.plot(\n",
" df_stock,\n",
" type=\"candle\",\n",
" mav=(20, 50, 200),\n",
" volume=True,\n",
" addplot=ap0,\n",
" xrotation=0,\n",
" style=s,\n",
" figratio=(10, 7),\n",
" figscale=2.00,\n",
" update_width_config=dict(\n",
" candle_linewidth=1.0, candle_width=0.8, volume_linewidth=1.0\n",
" ),\n",
")"
]
},
{
"cell_type": "markdown",
"id": "political-intake",
"metadata": {},
"source": [
"## Analyst Targets"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "numerous-begin",
"metadata": {},
"outputs": [],
"source": [
"from gamestonk_terminal.stocks.due_diligence import finviz_view\n",
"\n",
"try:\n",
" finviz_view.analyst(ticker=ticker, export=\"\")\n",
"except Exception as e:\n",
" print(e)"
]
},
{
"cell_type": "markdown",
"id": "3cfd302c",
"metadata": {},
"source": [
"## Fundamentals"
]
},
{
"cell_type": "markdown",
"id": "written-lease",
"metadata": {},
"source": [
"### Annual Income Statement"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "played-vancouver",
"metadata": {},
"outputs": [],
"source": [
"from gamestonk_terminal.stocks.fundamental_analysis import av_view\n",
"\n",
"av_view.display_income_statement(ticker, limit=1)"
]
},
{
"cell_type": "markdown",
"id": "smooth-forge",
"metadata": {},
"source": [
"### Quarterly Income Statement"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "juvenile-throw",
"metadata": {},
"outputs": [],
"source": [
"from gamestonk_terminal.stocks.fundamental_analysis import av_view\n",
"\n",
"av_view.display_income_statement(ticker, limit=1, quarterly=True)"
]
},
{
"cell_type": "markdown",
"id": "passive-nerve",
"metadata": {},
"source": [
"### Annual Balance Sheet"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "nominated-empire",
"metadata": {},
"outputs": [],
"source": [
"from gamestonk_terminal.stocks.fundamental_analysis import av_view\n",
"\n",
"av_view.display_balance_sheet(ticker, limit=1)"
]
},
{
"cell_type": "markdown",
"id": "special-bargain",
"metadata": {},
"source": [
"### Annual Cash Flow"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "focused-thanks",
"metadata": {},
"outputs": [],
"source": [
"from gamestonk_terminal.stocks.fundamental_analysis import av_view\n",
"\n",
"av_view.display_cash_flow(ticker, limit=1)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "sought-phase",
"metadata": {},
"outputs": [],
"source": [
"!jupyter nbconvert {report_name + \".ipynb\"} --to html --no-input"
]
}
],
"metadata": {
"celltoolbar": "Tags",
"interpreter": {
"hash": "bdefb52be37b6ab26a82d292d220aaeebafdd00af58c431a8f759eb373ff9ec1"
},
"kernelspec": {
"display_name": "Python 3.8.12 ('gst')",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.10"
}
},
"nbformat": 4,
"nbformat_minor": 5
}

445
gamestonk_terminal/jupyter/reports/due_dilligence.ipynb vendored Normal file
View File

@@ -0,0 +1,445 @@
{
"cells": [
{
"cell_type": "markdown",
"id": "70ba2c8a",
"metadata": {},
"source": [
"## Notebook setup"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "driven-billion",
"metadata": {},
"outputs": [],
"source": [
"import io\n",
"import warnings\n",
"from datetime import datetime, timedelta\n",
"\n",
"import matplotlib.pyplot as plt\n",
"import matplotlib_inline.backend_inline\n",
"\n",
"from gamestonk_terminal import api as gst\n",
"from gamestonk_terminal.helper_classes import TerminalStyle\n",
"\n",
"%matplotlib inline\n",
"matplotlib_inline.backend_inline.set_matplotlib_formats(\"svg\")\n",
"warnings.filterwarnings(\"ignore\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "c3fe7db5-ec6a-42cf-9e66-52dc1de22370",
"metadata": {},
"outputs": [],
"source": [
"try:\n",
" theme = TerminalStyle(\"light\", \"light\", \"light\")\n",
"except:\n",
" pass\n",
"stylesheet = gst.widgets.html_report_stylesheet()"
]
},
{
"cell_type": "markdown",
"id": "807fda4e",
"metadata": {},
"source": [
"## Select Ticker"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "intended-sherman",
"metadata": {
"tags": [
"parameters"
]
},
"outputs": [],
"source": [
"# Parameters that will be replaced when calling this notebook\n",
"ticker = \"AMC\"\n",
"report_name = \"\""
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "1be26dae-cafe-4a22-80aa-eff296fc1a9b",
"metadata": {},
"outputs": [],
"source": [
"ticker_data = gst.stocks.load(ticker, start=datetime.now() - timedelta(days=365))\n",
"ticker_data = gst.stocks.process_candle(ticker_data)\n",
"\n",
"report_title = (f\"{ticker.upper()} Due Diligence report ({datetime.now().strftime('%Y-%m-%d %H:%M:%S')})\")\n",
"report_title"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "e3b15d6f-dc9e-4f97-aa07-37d949a4e4bb",
"metadata": {},
"outputs": [],
"source": [
"overview = gst.stocks.fa.models.yahoo_finance.get_info(ticker=ticker).transpose()[\n",
" \"Long business summary\"\n",
"][0]\n",
"overview"
]
},
{
"cell_type": "markdown",
"id": "f8a0d747",
"metadata": {},
"source": [
"## Data"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "aca4b6ef",
"metadata": {},
"outputs": [],
"source": [
"(\n",
" df_year_estimates,\n",
" df_quarter_earnings,\n",
" df_quarter_revenues,\n",
") = gst.stocks.dd.models.business_insider.get_estimates(ticker)"
]
},
{
"cell_type": "markdown",
"id": "b9c8feff",
"metadata": {
"tags": []
},
"source": [
"### 1. Yearly Estimates"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "c0f0a1ca",
"metadata": {},
"outputs": [],
"source": [
"display_year = sorted(df_year_estimates.columns.tolist())[:3]\n",
"df_year_estimates = df_year_estimates[display_year].head(5)\n",
"df_year_estimates"
]
},
{
"cell_type": "markdown",
"id": "64d3d490",
"metadata": {
"tags": []
},
"source": [
"### 2. Quarterly Earnings"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "fde46353",
"metadata": {},
"outputs": [],
"source": [
"df_quarter_earnings"
]
},
{
"cell_type": "markdown",
"id": "d13a1e5e",
"metadata": {
"tags": []
},
"source": [
"### 3. Quarterly Revenues"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "51dfd9d2",
"metadata": {},
"outputs": [],
"source": [
"df_quarter_revenues"
]
},
{
"cell_type": "markdown",
"id": "6303e520",
"metadata": {
"tags": []
},
"source": [
"### 4. SEC Filings"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "3022130e",
"metadata": {},
"outputs": [],
"source": [
"df_sec_filings = gst.stocks.dd.models.marketwatch.get_sec_filings(ticker)[\n",
" [\"Type\", \"Category\", \"Link\"]\n",
"].head(5)\n",
"df_sec_filings"
]
},
{
"cell_type": "markdown",
"id": "1e201003",
"metadata": {
"tags": []
},
"source": [
"### 5. Analyst Ratings"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "4662b1ac",
"metadata": {},
"outputs": [],
"source": [
"df_analyst = gst.stocks.dd.models.finviz.get_analyst_data(ticker)\n",
"df_analyst[\"target_to\"] = df_analyst[\"target_to\"].combine_first(df_analyst[\"target\"])\n",
"df_analyst = df_analyst[[\"category\", \"analyst\", \"rating\", \"target_to\"]].rename(\n",
" columns={\n",
" \"category\": \"Category\",\n",
" \"analyst\": \"Analyst\",\n",
" \"rating\": \"Rating\",\n",
" \"target_to\": \"Price Target\",\n",
" }\n",
")\n",
"df_analyst"
]
},
{
"cell_type": "markdown",
"id": "ade589d6-d80f-4651-acb7-929943114ef0",
"metadata": {},
"source": [
"## Plots"
]
},
{
"cell_type": "markdown",
"id": "621ed931-57e9-4ca6-afe8-8ef278122c77",
"metadata": {},
"source": [
"### 1. Price history"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "394668e1-1158-4a2b-8a38-04c72a6abdd6",
"metadata": {},
"outputs": [],
"source": [
"fig, (candles, volume) = plt.subplots(nrows=2, ncols=1, figsize=(5, 3), dpi=150)\n",
"gst.stocks.candle(\n",
" s_ticker=ticker,\n",
" df_stock=ticker_data,\n",
" use_matplotlib=True,\n",
" external_axes=[candles, volume],\n",
")\n",
"candles.set_xticklabels(\"\")\n",
"fig.tight_layout()\n",
"\n",
"f = io.BytesIO()\n",
"fig.savefig(f, format=\"svg\")\n",
"price_chart = f.getvalue().decode(\"utf-8\")"
]
},
{
"cell_type": "markdown",
"id": "bf07a909",
"metadata": {},
"source": [
"### 2. Price Target"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "900686a3",
"metadata": {},
"outputs": [],
"source": [
"fig, ax = plt.subplots(figsize=(8, 3), dpi=150)\n",
"gst.stocks.dd.pt(\n",
" ticker=ticker,\n",
" start=\"2021-10-25\",\n",
" interval=\"1440min\",\n",
" stock=ticker_data,\n",
" num=10,\n",
" raw=False,\n",
" external_axes=[ax],\n",
")\n",
"fig.tight_layout()\n",
"f = io.BytesIO()\n",
"fig.savefig(f, format=\"svg\")\n",
"price_target_chart = f.getvalue().decode(\"utf-8\")"
]
},
{
"cell_type": "markdown",
"id": "63c0538c",
"metadata": {},
"source": [
"### 3. Ratings over time"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "f3733ff2",
"metadata": {},
"outputs": [],
"source": [
"fig, ax = plt.subplots(figsize=(8, 3), dpi=150)\n",
"gst.stocks.dd.rot(\n",
" ticker=ticker,\n",
" num=10,\n",
" raw=False,\n",
" export=\"\",\n",
" external_axes=[ax],\n",
")\n",
"fig.tight_layout()\n",
"f = io.BytesIO()\n",
"fig.savefig(f, format=\"svg\")\n",
"ratings_over_time_chart = f.getvalue().decode(\"utf-8\")"
]
},
{
"cell_type": "markdown",
"id": "ac501a32-124d-4d21-aae1-a8d147bb1071",
"metadata": {},
"source": [
"## Render the report template to a file"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "mounted-phase",
"metadata": {},
"outputs": [],
"source": [
"body = \"\""
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "abfe37e4-ea38-42c3-8fb5-7cceb233fb12",
"metadata": {},
"outputs": [],
"source": [
"# Title\n",
"body += gst.widgets.h(1, report_title)\n",
"\n",
"body += gst.widgets.h(2, \"Overview\")\n",
"body += gst.widgets.row([gst.widgets.p(overview)])\n",
"\n",
"\n",
"# Analysts ratings\n",
"body += gst.widgets.h(2, \"Analyst assessments\")\n",
"body += gst.widgets.row([price_target_chart])\n",
"body += gst.widgets.row([df_analyst.to_html()])\n",
"body += gst.widgets.row([ratings_over_time_chart])\n",
"\n",
"# Price history and yearly estimates\n",
"body += gst.widgets.row(\n",
" [\n",
" gst.widgets.h(3, \"Price history\") + price_chart,\n",
" gst.widgets.h(3, \"Estimates\") + df_year_estimates.head().to_html(),\n",
" ]\n",
")\n",
"\n",
"# Earnings and revenues\n",
"body += gst.widgets.h(2, \"Earnings and revenues\")\n",
"body += gst.widgets.row([df_quarter_earnings.head().to_html()])\n",
"body += gst.widgets.row([df_quarter_revenues.head().to_html()])\n",
"\n",
"# Sec filings and insider trading\n",
"body += gst.widgets.h(2, \"SEC filings\")\n",
"body += gst.widgets.row([df_sec_filings.to_html()])"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "eb26492f-d13f-4302-b36d-ea8ee0020f82",
"metadata": {},
"outputs": [],
"source": [
"report = gst.widgets.html_report(title=report_name, stylesheet=stylesheet, body=body)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "ee07c30c-9b38-4035-b128-20b7c9989951",
"metadata": {},
"outputs": [],
"source": [
"# to save the results\n",
"with open(report_name + \".html\", \"w\") as fh:\n",
" fh.write(report)"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "34991096-bc3a-4134-b519-aa3a490abe98",
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"celltoolbar": "Tags",
"interpreter": {
"hash": "31090e8428bc3cbe850895ffb75aca3a30f914a21038b56ab61f04d2ddd7301b"
},
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.8.12"
}
},
"nbformat": 4,
"nbformat_minor": 5
}

2
gamestonk_terminal/jupyter/reports/reports_controller.py
View File

@@ -133,7 +133,7 @@ Select one of the following reports:[/info][cmds]
(known_args, other_args) = self.parser.parse_known_args(an_input.split())
if not other_args and an_input in ("1", "3", "4"):
if not other_args and an_input in ("2", "3", "5"):
console.print("[red]Error: No ticker provided\n[/red]")
logger.error("Exception: No ticker provided")
return self.queue

97
gamestonk_terminal/jupyter/widget_helpers.py Normal file
View File

@@ -0,0 +1,97 @@
"""Widgets Helper Library.
A library of `ipywidgets` wrappers for notebook based reports and voila dashboards.
The library includes both python code and html/css/js elements that can be found in the
`./widgets` folder.
"""
import os
from typing import List
from jinja2 import Template
def price_card_stylesheet():
"""Load a default CSS stylesheet from file."""
with open(
os.path.join(os.path.dirname(os.path.abspath(__file__)), "widgets", "style.css")
) as f:
style = f.read()
return style
def price_card(ticker: str, price: str, price_color: str = "neutral_color") -> str:
"""Prepare a styled HTML element of a 128 by 128 price card.
Parameters
----------
ticker : str
Instrument ticker for the price card
price : str
Instrument price as a string
price_color : str, optional
The color of the price. Accepts "up_color", "down_color" and default "neutral_color"
Returns
-------
str
HTML code as string
"""
with open(
os.path.join(os.path.dirname(os.path.abspath(__file__)), "widgets", "card.j2")
) as f:
template = Template(f.read())
card = template.render(ticker=ticker, price=price, price_color=price_color)
return card
def html_report_stylesheet():
"""Load a default CSS stylesheet from file."""
with open(
os.path.join(
os.path.dirname(os.path.abspath(__file__)), "widgets", "report.css"
)
) as f:
style = f.read()
return style
def html_report(title: str = "", stylesheet: str = "", body: str = "") -> str:
"""Prepare a styled HTML page element.
Parameters
----------
title : str, optional
Contents of the title tag, by default ""
stylesheet : str, optional
Contents of the stylesheet tag, by default ""
body : str, optional
Contents of the body tag, by default ""
Returns
-------
str
HTML code as string
"""
with open(
os.path.join(os.path.dirname(os.path.abspath(__file__)), "widgets", "report.j2")
) as f:
template = Template(f.read())
card = template.render(title=title, stylesheet=stylesheet, body=body)
return card
def h(level: int, text: str) -> str:
"""Wrap text into an HTML `h` tag."""
return f"<h{str(level)}>{text}</h{level}>"
def p(text: str) -> str:
"""Wrap text into an HTML `p` tag."""
return f"<p>{text}</p>"
def row(elements: List) -> str:
with open(
os.path.join(os.path.dirname(os.path.abspath(__file__)), "widgets", "row.j2")
) as f:
template = Template(f.read())
return template.render(elements=elements)

8
gamestonk_terminal/jupyter/widgets/card.j2 vendored Normal file
View File

@@ -0,0 +1,8 @@
<div class="container">
<div class="card">
<div class="contentBx">
<h1>{{ ticker }}</h1>
<h2 class="{{ price_color }}">{{ price }}</h2>
</div>
</div>
</div>

224
gamestonk_terminal/jupyter/widgets/report.css vendored Normal file
View File

@@ -0,0 +1,224 @@
.body {
background-color: #ffffff;
color: #000000;
font-weight: 400;
text-decoration: none;
vertical-align: baseline;
font-size: 12pt;
font-family: 'Consolas', Arial, Helvetica, sans-serif;
font-style: normal;
margin-top: 30px;
margin-bottom: 30px;
margin-left: 50px;
margin-left: 50px;
padding: 0
}
.title {
padding-top: 0pt;
color: #000000;
font-size: 42pt;
font-weight: 800;
padding-bottom: 0pt;
line-height: 1.15;
page-break-after: avoid;
text-align: center
}
.subtitle {
padding-top: 0pt;
color: #666666;
font-size: 33pt;
padding-bottom: 10pt;
line-height: 1.15;
page-break-after: avoid;
font-style: italic;
text-align: center
}
li {
color: #000000;
font-size: 13pt;
}
p {
margin: 0;
color: #000000;
font-size: 13pt;
}
h1 {
padding-top: 10pt;
color: #000000;
font-size: 28pt;
padding-bottom: 0pt;
line-height: 1.15;
page-break-after: avoid;
text-align: left
}
h2 {
padding-top: 10pt;
color: #000000;
font-weight: 700;
font-size: 21pt;
padding-bottom: 0pt;
line-height: 1.15;
page-break-after: avoid;
text-align: left
}
h3 {
padding-top: 8pt;
color: #666666;
font-weight: 700;
font-size: 14pt;
padding-bottom: 0pt;
line-height: 1.15;
page-break-after: avoid;
text-align: left
}
h4 {
padding-top: 8pt;
-webkit-text-decoration-skip: none;
color: #666666;
text-decoration: underline;
font-size: 13pt;
padding-bottom: 0pt;
line-height: 1.15;
page-break-after: avoid;
text-decoration-skip-ink: none;
text-align: left
}
h5 {
padding-top: 8pt;
color: #666666;
font-size: 13pt;
padding-bottom: 0pt;
line-height: 1.15;
page-break-after: avoid;
text-align: left
}
h6 {
padding-top: 8pt;
color: #666666;
font-size: 13pt;
padding-bottom: 0pt;
line-height: 1.15;
page-break-after: avoid;
font-style: italic;
text-align: left
}
table {
border-collapse: collapse;
border-spacing: 0;
border-width: 0;
border-top-color: #ffffff;
border-bottom-color: #ffffff;
border-left-color: #ffffff;
border-right-color: #ffffff;
color: black;
table-layout: fixed;
margin-left: 0;
margin-right: 0;
margin-top: 15pt;
margin-bottom: 30pt;
padding: 3pt;
}
table thead {
color: black;
text-align: center;
}
table thead tr th {
border-top: 0;
border-bottom: 0;
border-left: 1;
border-left-color: #000000;
border-right: 1;
border-right-color: #000000;
padding-right: 5pt;
padding-left: 5pt;
font-weight: 600;
}
table thead tr th:first-child {
border-left: 0;
}
table thead tr th:last-child {
border-right: 0;
}
table tbody {
color: black;
}
table tbody tr td {
border: 1;
border-color: #000000;
padding-left: 7pt;
padding-right: 7pt;
}
table tbody tr th {
border: 1;
border-color: #000000;
font-weight: 200;
text-align: right;
padding-left: 7pt;
padding-right: 7pt;
}
table tbody tr th:first-child {
border-left: 0;
}
table tbody tr th:last-child {
border-right: 0;
}
table tbody tr:last-child th {
border-bottom: 0;
}
table tbody tr td:first-child {
border-left: 0;
}
table tbody tr td:last-child {
border-right: 0;
}
table tbody tr:last-child td {
border-bottom: 0;
}
tbody tr:nth-child(even) {
background-color: rgb(216, 216, 216);
}
@media print {
table {
-webkit-print-color-adjust: exact;
}
}
.hcontainer {
margin: 10pt;
width: 1000px;
}
.item {
display: inline-block;
*display: inline;
zoom: 1;
padding-left: 10pt;
padding-right: 10pt;
vertical-align: top;
}

19
gamestonk_terminal/jupyter/widgets/report.j2 vendored Normal file
View File

@@ -0,0 +1,19 @@
<!doctype html>
<html lang="en">
<head>
<meta content="text/html; charset=UTF-8" http-equiv="content-type"/>
{% if title %}
<title>{{ title }}</title>
{% else %}
<title>Gamestonk Terminal</title>
{% endif %}
{% if stylesheet %}
<style type="text/css">
{{ stylesheet }}
</style>
{% endif %}
</head>
<body class="body">
{{ body }}
</body>
</html>

5
gamestonk_terminal/jupyter/widgets/row.j2 vendored Normal file
View File

@@ -0,0 +1,5 @@
<div class="hcontainer">
{% for item in elements %}
<div class="item">{{ item }}</div>
{% endfor %}
</div>

54
gamestonk_terminal/jupyter/widgets/style.css vendored Normal file
View File

@@ -0,0 +1,54 @@
.container {
position: relative;
}
.container .card {
font-family: Consolas, sans-serif;
position: relative;
width: 128px;
height: 128px;
background: #000000;
border-radius: 5px;
border-color: rgb(142, 142, 142);
border-style: solid;
border-width: 0.5px;
overflow: hidden;
}
.container .card .contentBx {
position: absolute;
top: 28;
bottom: 32;
width: 100%;
text-align: center;
z-index: 10;
}
.container .card .contentBx h1 {
position: relative;
font-size: 24px;
font-weight: 600;
letter-spacing: 1px;
color: #fff;
margin-top: 28px;
margin-bottom: 10px;
}
.container .card .contentBx h2 {
position: relative;
font-size: 24px;
font-weight: 600;
letter-spacing: 1px;
}
.up_color {
color: #00ACFF;
}
.down_color {
color: #e4003a;
}
.neutral_color {
color: #ffed00;
}

12
gamestonk_terminal/stocks/due_diligence/finnhub_view.py
View File

@@ -77,7 +77,13 @@ def plot_rating_over_time(
@log_start_end(log=logger)
@check_api_key(["API_FINNHUB_KEY"])
def rating_over_time(ticker: str, num: int, raw: bool, export: str):
def rating_over_time(
ticker: str,
num: int,
raw: bool,
export: str,
external_axes: Optional[List[plt.Axes]] = None,
):
"""Rating over time (monthly). [Source: Finnhub]
Parameters
@@ -116,9 +122,7 @@ def rating_over_time(ticker: str, num: int, raw: bool, export: str):
title="Monthly Rating",
)
else:
plot_rating_over_time(df_rot.head(num), ticker)
console.print("")
plot_rating_over_time(df_rot.head(num), ticker, external_axes)
export_data(
export,

7
gamestonk_terminal/stocks/stocks_helper.py
View File

@@ -401,12 +401,13 @@ def display_candle(
theme.visualize_output(force_tight_layout=False)
else:
if len(external_axes) != 1:
if len(external_axes) != 2:
logger.error("Expected list of one axis item.")
console.print("[red]Expected list of 1 axis items./n[/red]")
console.print("[red]Expected list of 2 axis items./n[/red]")
return
(ax1,) = external_axes
ax1, ax2 = external_axes
candle_chart_kwargs["ax"] = ax1
candle_chart_kwargs["volume"] = ax2
mpf.plot(df_stock, **candle_chart_kwargs)
else:

21
jupyterlab/README.md vendored
View File

@@ -1,9 +1,24 @@
# Jupyter Lab Extensions for using Gamestonk Terminal
# Jupyter Ecosystem integration
The Jupyter ecosystem has created Open Source tools that have become the de-facto
standard for data related tasks.
This folder contains source code for a bunch of tools that help using the functionality
of the terminal in connection with Jupyter:
1. Jupyter Lab Extensions for using Gamestonk Terminal
## 1. Jupyter Lab Extensions for using Gamestonk Terminal
Documentation, GST and GST-settings are 3 Jupyter Lab extensions that illustrate how
the terminal can be integrated with Jupyter Lab based IDEs.
*NOTE: The extensions should be considered prototypes and are not production-ready.*
1. Only bash is supported (only macOS, Linux and WSL). No support for Windows powershell or command prompt.
2. The input values are not escaped
## Installation
### Installation
To install the Terminal Launcher and the Settings Extensions run the following commands from the [root folder of the project](/):
@@ -16,7 +31,7 @@ jupyter labextension install jupyterlab/gst-settings
jupyter labextension install jupyterlab/documentation
```
## Development setup
### Development setup
In this section `gst` extension will be used as an example.

177
poetry.lock generated vendored
View File

@@ -714,6 +714,14 @@ idna = ["idna (>=2.1,<4.0)"]
trio = ["trio (>=0.14,<0.20)"]
wmi = ["wmi (>=1.5.1,<2.0.0)"]
[[package]]
name = "docstring-to-markdown"
version = "0.10"
description = "On the fly conversion of Python docstrings to markdown"
category = "main"
optional = true
python-versions = ">=3.6"
[[package]]
name = "docutils"
version = "0.16"
@@ -1378,6 +1386,20 @@ parso = ">=0.8.0,<0.9.0"
qa = ["flake8 (==3.8.3)", "mypy (==0.782)"]
testing = ["Django (<3.1)", "colorama", "docopt", "pytest (<7.0.0)"]
[[package]]
name = "jedi-language-server"
version = "0.35.1"
description = "A language server for Jedi!"
category = "main"
optional = true
python-versions = ">=3.6,<4.0"
[package.dependencies]
docstring-to-markdown = "<1.0.0"
jedi = ">=0.18.0,<0.19.0"
pydantic = ">=1.7,<2.0"
pygls = ">=0.11.1,<0.12.0"
[[package]]
name = "jinja2"
version = "3.1.0"
@@ -1503,6 +1525,18 @@ python-versions = ">=3.6"
pywin32 = {version = ">=1.0", markers = "sys_platform == \"win32\" and platform_python_implementation != \"PyPy\""}
traitlets = "*"
[[package]]
name = "jupyter-lsp"
version = "1.5.1"
description = "Multi-Language Server WebSocket proxy for Jupyter Notebook/Lab server"
category = "main"
optional = true
python-versions = ">=3.6"
[package.dependencies]
entrypoints = "*"
jupyter-server = ">=1.1.2"
[[package]]
name = "jupyter-server"
version = "1.15.6"
@@ -1554,6 +1588,29 @@ tornado = ">=6.1.0"
test = ["coverage", "pytest (>=6.0)", "pytest-cov", "pytest-console-scripts", "pytest-check-links (>=0.5)", "jupyterlab-server[test] (>=2.2,<3.0)", "requests", "requests-cache", "virtualenv", "check-manifest"]
ui-tests = ["build"]
[[package]]
name = "jupyterlab-code-formatter"
version = "1.4.10"
description = "Code formatter for JupyterLab"
category = "main"
optional = true
python-versions = ">=3.6"
[package.dependencies]
jupyterlab = ">=3.0,<4.0"
[[package]]
name = "jupyterlab-lsp"
version = "3.10.1"
description = "Coding assistance for JupyterLab with Language Server Protocol"
category = "main"
optional = true
python-versions = ">=3.7"
[package.dependencies]
jupyter-lsp = ">=1.4.0"
jupyterlab = ">=3.1.0,<4.0.0a0"
[[package]]
name = "jupyterlab-pygments"
version = "0.1.2"
@@ -2585,7 +2642,7 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
[[package]]
name = "pydantic"
version = "1.9.0"
version = "1.8.2"
description = "Data validation and settings management using python 3.6 type hinting"
category = "main"
optional = true
@@ -2631,6 +2688,24 @@ category = "dev"
optional = false
python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*"
[[package]]
name = "pygls"
version = "0.11.3"
description = "a pythonic generic language server (pronounced like \"pie glass\")."
category = "main"
optional = true
python-versions = "*"
[package.dependencies]
pydantic = ">=1.7,<1.9"
typeguard = ">=2.10.0,<3"
[package.extras]
dev = ["bandit (==1.6.0)", "flake8 (==3.7.7)", "mypy (==0.812)"]
docs = ["sphinx (==2.0.1)", "sphinx-rtd-theme (==0.4.3)"]
test = ["mock (==3.0.5)", "pytest (==4.5.0)", "pytest-asyncio (==0.10.0)"]
ws = ["websockets (>=9.0.0,<10.0.0)"]
[[package]]
name = "pygments"
version = "2.11.2"
@@ -3924,6 +3999,18 @@ async-generator = ">=1.10"
trio = ">=0.11"
wsproto = ">=0.14"
[[package]]
name = "typeguard"
version = "2.13.3"
description = "Run-time type checker for Python"
category = "main"
optional = true
python-versions = ">=3.5.3"
[package.extras]
doc = ["sphinx-rtd-theme", "sphinx-autodoc-typehints (>=1.2.0)"]
test = ["pytest", "typing-extensions", "mypy"]
[[package]]
name = "types-python-dateutil"
version = "2.8.10"
@@ -4305,12 +4392,13 @@ testing = ["coverage (>=5.0.3)", "zope.event", "zope.testing"]
[extras]
bots = ["boto3", "pyimgur", "fastapi", "uvicorn", "disnake", "PyNaCl", "pyTelegramBotAPI", "slack-bolt", "undetected-chromedriver", "natsort", "kaleido"]
jupyterlab = ["jupyterlab-code-formatter", "jupyterlab-lsp", "jedi-language-server"]
prediction = ["tensorflow"]
[metadata]
lock-version = "1.1"
python-versions = "^3.8,<3.10"
content-hash = "0eff08c14b4accbde60ed901ce7bb0b6c67e6e0f3c584c4dd51d6d59ebb237e7"
content-hash = "23c984180dd26ed0132f110d22bc2477c8af574e40572a8106c1ccf39a1fb4ec"
[metadata.files]
absl-py = [
@@ -4848,6 +4936,10 @@ dnspython = [
{file = "dnspython-2.2.1-py3-none-any.whl", hash = "sha256:a851e51367fb93e9e1361732c1d60dab63eff98712e503ea7d92e6eccb109b4f"},
{file = "dnspython-2.2.1.tar.gz", hash = "sha256:0f7569a4a6ff151958b64304071d370daa3243d15941a7beedf0c9fe5105603e"},
]
docstring-to-markdown = [
{file = "docstring-to-markdown-0.10.tar.gz", hash = "sha256:12f75b0c7b7572defea2d9e24b57ef7ac38c3e26e91c0e5547cfc02b1c168bf6"},
{file = "docstring_to_markdown-0.10-py3-none-any.whl", hash = "sha256:a2cd520599d1499d4a5d4eb16dea5bdebe32e5627504fb417d5733570f3d4d0b"},
]
docutils = [
{file = "docutils-0.16-py2.py3-none-any.whl", hash = "sha256:0c5b78adfbf7762415433f5515cd5c9e762339e23369dbe8000d84a4bf4ab3af"},
{file = "docutils-0.16.tar.gz", hash = "sha256:c2de3a60e9e7d07be26b7f2b00ca0309c207e06c100f9cc2a94931fc75a478fc"},
@@ -5200,6 +5292,10 @@ jedi = [
{file = "jedi-0.18.1-py2.py3-none-any.whl", hash = "sha256:637c9635fcf47945ceb91cd7f320234a7be540ded6f3e99a50cb6febdfd1ba8d"},
{file = "jedi-0.18.1.tar.gz", hash = "sha256:74137626a64a99c8eb6ae5832d99b3bdd7d29a3850fe2aa80a4126b2a7d949ab"},
]
jedi-language-server = [
{file = "jedi-language-server-0.35.1.tar.gz", hash = "sha256:e31185e79e1abdcc5a077305cb24cd3a44798a2db525045b40f6b647dc5bdf08"},
{file = "jedi_language_server-0.35.1-py3-none-any.whl", hash = "sha256:532c16a9199d902bdc88ca991da176fe177f0b3019b826b50bf568a0b0081167"},
]
jinja2 = [
{file = "Jinja2-3.1.0-py3-none-any.whl", hash = "sha256:da424924c069a4013730d8dd010cbecac7e7bb752be388db3741688bffb48dc6"},
{file = "Jinja2-3.1.0.tar.gz", hash = "sha256:a2f09a92f358b96b5f6ca6ecb4502669c4acb55d8733bbb2b2c9c4af5564c605"},
@@ -5237,6 +5333,10 @@ jupyter-core = [
{file = "jupyter_core-4.9.2-py3-none-any.whl", hash = "sha256:f875e4d27e202590311d468fa55f90c575f201490bd0c18acabe4e318db4a46d"},
{file = "jupyter_core-4.9.2.tar.gz", hash = "sha256:d69baeb9ffb128b8cd2657fcf2703f89c769d1673c851812119e3a2a0e93ad9a"},
]
jupyter-lsp = [
{file = "jupyter-lsp-1.5.1.tar.gz", hash = "sha256:751abd35413be99a4331f3597b09341adc755589ed32091ac2f686db3d61267e"},
{file = "jupyter_lsp-1.5.1-py3-none-any.whl", hash = "sha256:28bb4c44f0c78b4fe55041b2209a8a1f33b1719f39e5e280d8c4d689dc44ca31"},
]
jupyter-server = [
{file = "jupyter_server-1.15.6-py3-none-any.whl", hash = "sha256:e393934c19fcc324a7fca77f811eacd91201440f04c6fbb15c959c463baaa9c5"},
{file = "jupyter_server-1.15.6.tar.gz", hash = "sha256:56bd6f580d1f46b62294990e8e78651025729f5d3fc798f10f2c03f0cdcbf28d"},
@@ -5245,6 +5345,14 @@ jupyterlab = [
{file = "jupyterlab-3.3.2-py3-none-any.whl", hash = "sha256:32c9e3fae93d02f7a071f5e69a7a5450fa4bf087dd3d5aca58c7dd2adf2565d3"},
{file = "jupyterlab-3.3.2.tar.gz", hash = "sha256:3c716bf5592cb28c5c55c615c6e5bd3efc71898f6957d13719b56478bbbb587a"},
]
jupyterlab-code-formatter = [
{file = "jupyterlab_code_formatter-1.4.10-py3-none-any.whl", hash = "sha256:10a7f2ab44a4539a44ec6bf3fc3b27e7ed22c7ab975e6503823e21d7e60abae7"},
{file = "jupyterlab_code_formatter-1.4.10.tar.gz", hash = "sha256:1645fd80b99d590d60fe0f3c078c9101ad62dfdbfac5e78b4c2d334896ab526f"},
]
jupyterlab-lsp = [
{file = "jupyterlab-lsp-3.10.1.tar.gz", hash = "sha256:9ad6ef22c4972b85480797034fc7914728eb78f1856b4dab3361686e4f20c9dd"},
{file = "jupyterlab_lsp-3.10.1-py3-none-any.whl", hash = "sha256:5e142680d47736a894945d2846217f1d693961fb938ce978d0cb406b6c53c8ac"},
]
jupyterlab-pygments = [
{file = "jupyterlab_pygments-0.1.2-py2.py3-none-any.whl", hash = "sha256:abfb880fd1561987efaefcb2d2ac75145d2a5d0139b1876d5be806e32f630008"},
{file = "jupyterlab_pygments-0.1.2.tar.gz", hash = "sha256:cfcda0873626150932f438eccf0f8bf22bfa92345b814890ab360d666b254146"},
@@ -6059,41 +6167,28 @@ pycparser = [
{file = "pycparser-2.21.tar.gz", hash = "sha256:e644fdec12f7872f86c58ff790da456218b10f863970249516d60a5eaca77206"},
]
pydantic = [
{file = "pydantic-1.9.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:cb23bcc093697cdea2708baae4f9ba0e972960a835af22560f6ae4e7e47d33f5"},
{file = "pydantic-1.9.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:1d5278bd9f0eee04a44c712982343103bba63507480bfd2fc2790fa70cd64cf4"},
{file = "pydantic-1.9.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ab624700dc145aa809e6f3ec93fb8e7d0f99d9023b713f6a953637429b437d37"},
{file = "pydantic-1.9.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c8d7da6f1c1049eefb718d43d99ad73100c958a5367d30b9321b092771e96c25"},
{file = "pydantic-1.9.0-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:3c3b035103bd4e2e4a28da9da7ef2fa47b00ee4a9cf4f1a735214c1bcd05e0f6"},
{file = "pydantic-1.9.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:3011b975c973819883842c5ab925a4e4298dffccf7782c55ec3580ed17dc464c"},
{file = "pydantic-1.9.0-cp310-cp310-win_amd64.whl", hash = "sha256:086254884d10d3ba16da0588604ffdc5aab3f7f09557b998373e885c690dd398"},
{file = "pydantic-1.9.0-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:0fe476769acaa7fcddd17cadd172b156b53546ec3614a4d880e5d29ea5fbce65"},
{file = "pydantic-1.9.0-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c8e9dcf1ac499679aceedac7e7ca6d8641f0193c591a2d090282aaf8e9445a46"},
{file = "pydantic-1.9.0-cp36-cp36m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d1e4c28f30e767fd07f2ddc6f74f41f034d1dd6bc526cd59e63a82fe8bb9ef4c"},
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{file = "pydantic-1.8.2-cp39-cp39-manylinux2014_i686.whl", hash = "sha256:05ef5246a7ffd2ce12a619cbb29f3307b7c4509307b1b49f456657b43529dc6f"},
{file = "pydantic-1.8.2-cp39-cp39-manylinux2014_x86_64.whl", hash = "sha256:54cd5121383f4a461ff7644c7ca20c0419d58052db70d8791eacbbe31528916b"},
{file = "pydantic-1.8.2-cp39-cp39-win_amd64.whl", hash = "sha256:4be75bebf676a5f0f87937c6ddb061fa39cbea067240d98e298508c1bda6f3f3"},
{file = "pydantic-1.8.2-py3-none-any.whl", hash = "sha256:fec866a0b59f372b7e776f2d7308511784dace622e0992a0b59ea3ccee0ae833"},
{file = "pydantic-1.8.2.tar.gz", hash = "sha256:26464e57ccaafe72b7ad156fdaa4e9b9ef051f69e175dbbb463283000c05ab7b"},
]
pyex = [
{file = "pyEX-0.5.0-py2.py3-none-any.whl", hash = "sha256:8860b8eb9c15d91e5f552786fbe8f8ecd46c4c4931e5cb82ba41187eb603f742"},
@@ -6103,6 +6198,10 @@ pyflakes = [
{file = "pyflakes-2.3.1-py2.py3-none-any.whl", hash = "sha256:7893783d01b8a89811dd72d7dfd4d84ff098e5eed95cfa8905b22bbffe52efc3"},
{file = "pyflakes-2.3.1.tar.gz", hash = "sha256:f5bc8ecabc05bb9d291eb5203d6810b49040f6ff446a756326104746cc00c1db"},
]
pygls = [
{file = "pygls-0.11.3-py3-none-any.whl", hash = "sha256:5c925b182f2b0aa38d0ce83a9829ca5aed8eb9c7079cffc5bddff2da1033b58f"},
{file = "pygls-0.11.3.tar.gz", hash = "sha256:4d86fc854e6d6613cd42bf7511e9c6aac947fc8d62ff973a705570b036d969f2"},
]
pygments = [
{file = "Pygments-2.11.2-py3-none-any.whl", hash = "sha256:44238f1b60a76d78fc8ca0528ee429702aae011c265fe6a8dd8b63049ae41c65"},
{file = "Pygments-2.11.2.tar.gz", hash = "sha256:4e426f72023d88d03b2fa258de560726ce890ff3b630f88c21cbb8b2503b8c6a"},
@@ -7006,6 +7105,10 @@ trio-websocket = [
{file = "trio-websocket-0.9.2.tar.gz", hash = "sha256:a3d34de8fac26023eee701ed1e7bf4da9a8326b61a62934ec9e53b64970fd8fe"},
{file = "trio_websocket-0.9.2-py3-none-any.whl", hash = "sha256:5b558f6e83cc20a37c3b61202476c5295d1addf57bd65543364e0337e37ed2bc"},
]
typeguard = [
{file = "typeguard-2.13.3-py3-none-any.whl", hash = "sha256:5e3e3be01e887e7eafae5af63d1f36c849aaa94e3a0112097312aabfa16284f1"},
{file = "typeguard-2.13.3.tar.gz", hash = "sha256:00edaa8da3a133674796cf5ea87d9f4b4c367d77476e185e80251cc13dfbb8c4"},
]
types-python-dateutil = [
{file = "types-python-dateutil-2.8.10.tar.gz", hash = "sha256:6bcf3aae7242e5793bafd7b2bcfb4e255eb7b2b3144acd0df0e182dce58ccad3"},
{file = "types_python_dateutil-2.8.10-py3-none-any.whl", hash = "sha256:1f6d2305513d54da353a9dde7ed8a9ef46e8987377291612a0e2b9aac2d2b875"},

5
pyproject.toml vendored
View File

@@ -91,9 +91,13 @@ finnhub-python = "^2.4.10"
linearmodels = "^4.25"
black = "22.1"
undetected-chromedriver = {version = "^3.1.5", optional = true}
ipywidgets = "^7.7.0"
boto3 = {version = "^1.21.14", optional = true}
natsort = {version = "^8.1.0", optional = true}
kaleido = {version = "^0.2.1", optional = true}
jupyterlab-code-formatter = {version = "^1.4.10", optional = true}
jupyterlab-lsp = {version = "^3.10.1", optional = true}
jedi-language-server = {version = "^0.35.1", optional = true}
[tool.poetry.dev-dependencies]
@@ -124,6 +128,7 @@ pytest-cov = "^3.0.0"
[tool.poetry.extras]
prediction = ["tensorflow"]
bots = ["boto3", "pyimgur", "fastapi", "uvicorn", "disnake", "PyNaCl", "pyTelegramBotAPI", "slack-bolt", "undetected-chromedriver", "natsort", "kaleido"]
jupyterlab = ["jupyterlab-code-formatter", "jupyterlab-lsp", "jedi-language-server"]
[build-system]
requires = ["poetry-core>=1.0.0"]

2
styles/default/light.mplstyle vendored
View File

@@ -45,7 +45,7 @@ axes.labelcolor: 0F0F0F
axes.grid: true
axes.grid.which: major
axes.prop_cycle: cycler('color', ['254495', '48277c', '822661', 'c13246', 'e4003a', 'ef7d00', 'ffed00', '00aaff', '9b30d9', 'af005f', '5f00af', 'af87ff'])
axes.prop_cycle: cycler('color', ['254495', 'c13246', '48277c', 'e4003a', 'ef7d00', '822661', 'ffed00', '00aaff', '9b30d9', 'af005f', '5f00af', 'af87ff'])
xtick.color: 0F0F0F
ytick.color: 0F0F0F

143
tests/gamestonk_terminal/jupyter/dashboards/test_dashboard_controller.py
View File

@@ -1,143 +0,0 @@
import os
import pytest
from gamestonk_terminal.jupyter.dashboards import dashboards_controller
@pytest.mark.vcr(record_mode="none")
@pytest.mark.parametrize(
"queue, expected",
[
(["load", "help"], []),
(["quit", "help"], ["help"]),
],
)
def test_menu_with_queue(expected, mocker, queue):
path_controller = "gamestonk_terminal.jupyter.dashboards.dashboards_controller"
# MOCK SWITCH
mocker.patch(
target=f"{path_controller}.DashboardsController.switch",
return_value=["quit"],
)
result_menu = dashboards_controller.DashboardsController(queue=queue).menu()
assert result_menu == expected
@pytest.mark.vcr(record_mode="none")
def test_menu_without_queue_completion(mocker):
path_controller = "gamestonk_terminal.jupyter.dashboards.dashboards_controller"
# ENABLE AUTO-COMPLETION : HELPER_FUNCS.MENU
mocker.patch(
target="gamestonk_terminal.feature_flags.USE_PROMPT_TOOLKIT",
new=True,
)
mocker.patch(
target="gamestonk_terminal.parent_classes.session",
)
mocker.patch(
target="gamestonk_terminal.parent_classes.session.prompt",
return_value="quit",
)
# DISABLE AUTO-COMPLETION : CONTROLLER.COMPLETER
mocker.patch.object(
target=dashboards_controller.gtff,
attribute="USE_PROMPT_TOOLKIT",
new=True,
)
mocker.patch(
target=f"{path_controller}.session",
)
mocker.patch(
target=f"{path_controller}.session.prompt",
return_value="quit",
)
result_menu = dashboards_controller.DashboardsController(queue=None).menu()
assert result_menu == []
@pytest.mark.vcr(record_mode="none")
@pytest.mark.record_stdout
def test_print_help():
controller = dashboards_controller.DashboardsController(queue=None)
controller.print_help()
@pytest.mark.vcr(record_mode="none")
@pytest.mark.parametrize(
"an_input, expected_queue",
[
("", []),
("/help", ["home", "help"]),
("help/help", ["help", "help"]),
("q", ["quit"]),
("h", []),
(
"r",
["quit", "quit", "reset", "jupyter", "dashboards"],
),
],
)
def test_switch(an_input, expected_queue):
controller = dashboards_controller.DashboardsController(queue=None)
queue = controller.switch(an_input=an_input)
assert queue == expected_queue
@pytest.mark.vcr(record_mode="none")
def test_call_cls(mocker):
mocker.patch("os.system")
controller = dashboards_controller.DashboardsController(queue=None)
controller.call_cls([])
assert controller.queue == []
os.system.assert_called_once_with("cls||clear")
@pytest.mark.vcr(record_mode="none")
@pytest.mark.parametrize(
"func, queue, expected_queue",
[
(
"call_exit",
[],
["quit", "quit", "quit"],
),
("call_exit", ["help"], ["quit", "quit", "quit", "help"]),
("call_home", [], ["quit", "quit"]),
("call_help", [], []),
("call_quit", [], ["quit"]),
("call_quit", ["help"], ["quit", "help"]),
(
"call_reset",
[],
["quit", "quit", "reset", "jupyter", "dashboards"],
),
(
"call_reset",
["help"],
[
"quit",
"quit",
"reset",
"jupyter",
"dashboards",
"help",
],
),
],
)
def test_call_func_expect_queue(expected_queue, func, queue):
controller = dashboards_controller.DashboardsController(queue=queue)
result = getattr(controller, func)([])
assert result is None
assert controller.queue == expected_queue

143
tests/gamestonk_terminal/jupyter/dashboards/test_dashboards_controller.py
View File

@@ -0,0 +1,143 @@
import os
import pytest
from gamestonk_terminal.jupyter.dashboards import dashboards_controller
@pytest.mark.vcr(record_mode="none")
@pytest.mark.parametrize(
"queue, expected",
[
(["load", "help"], []),
(["quit", "help"], ["help"]),
],
)
def test_menu_with_queue(expected, mocker, queue):
path_controller = "gamestonk_terminal.jupyter.dashboards.dashboards_controller"
# MOCK SWITCH
mocker.patch(
target=f"{path_controller}.DashboardsController.switch",
return_value=["quit"],
)
result_menu = dashboards_controller.DashboardsController(queue=queue).menu()
assert result_menu == expected
@pytest.mark.vcr(record_mode="none")
def test_menu_without_queue_completion(mocker):
path_controller = "gamestonk_terminal.jupyter.dashboards.dashboards_controller"
# ENABLE AUTO-COMPLETION : HELPER_FUNCS.MENU
mocker.patch(
target="gamestonk_terminal.feature_flags.USE_PROMPT_TOOLKIT",
new=True,
)
mocker.patch(
target="gamestonk_terminal.parent_classes.session",
)
mocker.patch(
target="gamestonk_terminal.parent_classes.session.prompt",
return_value="quit",
)
# DISABLE AUTO-COMPLETION : CONTROLLER.COMPLETER
mocker.patch.object(
target=dashboards_controller.gtff,
attribute="USE_PROMPT_TOOLKIT",
new=True,
)
mocker.patch(
target=f"{path_controller}.session",
)
mocker.patch(
target=f"{path_controller}.session.prompt",
return_value="quit",
)
result_menu = dashboards_controller.DashboardsController(queue=None).menu()
assert result_menu == []
@pytest.mark.vcr(record_mode="none")
@pytest.mark.record_stdout
def test_print_help():
controller = dashboards_controller.DashboardsController(queue=None)
controller.print_help()
@pytest.mark.vcr(record_mode="none")
@pytest.mark.parametrize(
"an_input, expected_queue",
[
("", []),
("/help", ["home", "help"]),
("help/help", ["help", "help"]),
("q", ["quit"]),
("h", []),
(
"r",
["quit", "quit", "reset", "jupyter", "dashboards"],
),
],
)
def test_switch(an_input, expected_queue):
controller = dashboards_controller.DashboardsController(queue=None)
queue = controller.switch(an_input=an_input)
assert queue == expected_queue
@pytest.mark.vcr(record_mode="none")
def test_call_cls(mocker):
mocker.patch("os.system")
controller = dashboards_controller.DashboardsController(queue=None)
controller.call_cls([])
assert controller.queue == []
os.system.assert_called_once_with("cls||clear")
@pytest.mark.vcr(record_mode="none")
@pytest.mark.parametrize(
"func, queue, expected_queue",
[
(
"call_exit",
[],
["quit", "quit", "quit"],
),
("call_exit", ["help"], ["quit", "quit", "quit", "help"]),
("call_home", [], ["quit", "quit"]),
("call_help", [], []),
("call_quit", [], ["quit"]),
("call_quit", ["help"], ["quit", "help"]),
(
"call_reset",
[],
["quit", "quit", "reset", "jupyter", "dashboards"],
),
(
"call_reset",
["help"],
[
"quit",
"quit",
"reset",
"jupyter",
"dashboards",
"help",
],
),
],
)
def test_call_func_expect_queue(expected_queue, func, queue):
controller = dashboards_controller.DashboardsController(queue=queue)
result = getattr(controller, func)([])
assert result is None
assert controller.queue == expected_queue

1
tests/gamestonk_terminal/jupyter/dashboards/txt/test_dashboard_controller/test_print_help.txt → tests/gamestonk_terminal/jupyter/dashboards/txt/test_dashboards_controller/test_print_help.txt vendored
View File

@@ -4,4 +4,5 @@
vsurf options volatility surface
chains options chain analysis
shortdata finra shortdata analysis
crypto cryptocurrency exchange rates against USD

0
tests/gamestonk_terminal/jupyter/test_jupter_controller.py → tests/gamestonk_terminal/jupyter/test_jupyter_controller.py
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tests/gamestonk_terminal/jupyter/txt/test_jupter_controller/test_print_help.txt → tests/gamestonk_terminal/jupyter/txt/test_jupyter_controller/test_print_help.txt vendored
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