Files
OpenBB/openbb_terminal/alternative/oss/github_view.py
Colin Delahunty ee34a1f278 Feature/add isort linter (#4114)
* Fixed isort

* Fixed issues

* FIxed linters

---------

Co-authored-by: James Maslek <jmaslek11@gmail.com>
2023-02-04 21:24:47 -05:00

163 lines
4.8 KiB
Python

"""GitHub View Module"""
__docformat__ = "numpy"
import logging
import os
from typing import List, Optional
from matplotlib import pyplot as plt
from matplotlib import ticker
from openbb_terminal.alternative.oss import github_model
from openbb_terminal.config_plot import PLOT_DPI
from openbb_terminal.config_terminal import theme
from openbb_terminal.cryptocurrency.dataframe_helpers import (
lambda_long_number_format_with_type_check,
)
from openbb_terminal.decorators import log_start_end
from openbb_terminal.helper_funcs import (
export_data,
is_valid_axes_count,
plot_autoscale,
print_rich_table,
)
logger = logging.getLogger(__name__)
@log_start_end(log=logger)
def display_star_history(
repo: str,
export: str = "",
sheet_name: str = None,
external_axes: Optional[List[plt.Axes]] = None,
) -> None:
"""Plots repo summary [Source: https://api.github.com].
Parameters
----------
repo : str
Repository to display star history. Format: org/repo, e.g., openbb-finance/openbbterminal
export : str
Export dataframe data to csv,json,xlsx file
external_axes : Optional[List[plt.Axes]], optional
External axes (1 axis is expected in the list), by default None
"""
df = github_model.get_stars_history(repo)
if not df.empty:
if external_axes is None:
_, ax = plt.subplots(figsize=plot_autoscale(), dpi=PLOT_DPI)
elif is_valid_axes_count(external_axes, 1):
(ax,) = external_axes
else:
return
ax.plot(df["Date"], df["Stars"])
ax.set_xlabel("Date")
ax.set_ylabel("Stars")
ax.set_title(f"Star History for {repo}")
theme.style_primary_axis(ax)
if external_axes is None:
theme.visualize_output()
export_data(
export,
os.path.dirname(os.path.abspath(__file__)),
"sh",
df,
sheet_name,
)
@log_start_end(log=logger)
def display_top_repos(
sortby: str,
categories: str = "",
limit: int = 10,
export: str = "",
sheet_name: str = None,
external_axes: Optional[List[plt.Axes]] = None,
) -> None:
"""Plots repo summary [Source: https://api.github.com].
Parameters
----------
sortby : str
Sort repos by {stars, forks}
categories : str
Check for repo categories. If more than one separate with a comma: e.g., finance,investment. Default: None
limit : int
Number of repos to look at
export : str
Export dataframe data to csv,json,xlsx file
external_axes : Optional[List[plt.Axes]], optional
External axes (1 axis is expected in the list), by default None
"""
df = github_model.get_top_repos(categories=categories, sortby=sortby, limit=limit)
if not df.empty:
if external_axes is None:
_, ax = plt.subplots(figsize=(14, 8), dpi=PLOT_DPI)
elif is_valid_axes_count(external_axes, 1):
(ax,) = external_axes
else:
return
for _, row in df.iterrows():
ax.barh(
y=row["full_name"],
width=row["stargazers_count" if sortby == "stars" else "forks_count"],
height=0.5,
)
ax.set_xlabel(sortby.capitalize())
ax.get_xaxis().set_major_formatter(
ticker.FuncFormatter(
lambda x, _: lambda_long_number_format_with_type_check(x)
)
)
ax.yaxis.set_label_position("left")
ax.yaxis.set_ticks_position("left")
ax.set_ylabel("Repository Full Name")
category_substr = "ies" if "," in categories else "y"
category_str = f"categor{category_substr} {categories} " if categories else ""
ax.set_title(f"Top repos {category_str}sorted by {sortby}")
theme.style_primary_axis(ax)
if external_axes is None:
theme.visualize_output()
export_data(
export,
os.path.dirname(os.path.abspath(__file__)),
"tr",
df,
sheet_name,
)
@log_start_end(log=logger)
def display_repo_summary(repo: str, export: str = "", sheet_name: str = None) -> None:
"""Prints table showing repo summary [Source: https://api.github.com].
Parameters
----------
repo : str
Repository to display summary. Format: org/repo, e.g., openbb-finance/openbbterminal
export : str
Export dataframe data to csv,json,xlsx file
"""
data = github_model.get_repo_summary(repo)
if not data.empty:
print_rich_table(
data, headers=list(data.columns), show_index=False, title="Repo summary"
)
export_data(
export,
os.path.dirname(os.path.abspath(__file__)),
"rs",
data,
sheet_name,
)