from github import Github
import os 
import streamlit as st
import datetime
import plotly.figure_factory as ff
import pandas as pd
import math

st.set_page_config(layout="wide")

string1 = f"""<a href="https://www.nytimes.com/", target="_black">link</a>"""

g = Github(os.environ.get('github'))

inference_repo = g.get_repo("bigcode-project/bigcode-inference-benchmark")
df = list()

for milestone in inference_repo.get_milestones():
    desc = dict()
    for line in milestone.description.split('\n'):
        tmp = line.split(":")
        desc[tmp[0].lower()] = tmp[1].lower().strip()
    df.append(dict(Task=milestone.title, 
                   Start=desc['start date'], 
                   Finish=milestone.due_on.strftime('%Y-%m-%d'), 
                   Resource=desc['status'], 
                   Description=desc['leader']))

colors = {'not started': 'rgb(220, 0, 0)',
          'incomplete': (1, 0.9, 0.16),
          'complete': 'rgb(0, 255, 100)'}


fig = ff.create_gantt(df, colors=colors, 
                      index_col='Resource', 
                      show_colorbar=True, 
                      show_hover_fill=True, 
                      title="BigCode planning")

fig.update_xaxes(ticks= "outside",
                 ticklabelmode= "period", 
                 tickformat="%b",
                 tickcolor= "black", 
                 ticklen=10, 
                 range=[datetime.datetime(2013, 10, 17),
                               datetime.datetime(2013, 11, 20)],
                 minor=dict(
                     ticklen=4,  
                     dtick=7*24*60*60*1000,  
                     tick0="2023-01-01", 
                     griddash='dot', 
                     gridcolor='white')
                )
periods = pd.date_range(df[0]["Start"],df[0]["Finish"], freq='1D')
center_pos = math.floor(len(periods) / 2)
x_dates = periods[center_pos]

fig.add_annotation({
            "x": x_dates,
            "y": 0,
            "text": string1,
            "align": "center",
            "showarrow":False,
        })

fig.update_layout(xaxis_range=[datetime.datetime(2022, 12, 30),
                               datetime.datetime(2023, 4, 2)])
fig.update_yaxes(automargin=True)
fig.layout.xaxis.rangeselector = None
st.write(fig.layout.yaxis)
fig.add_vline(x=datetime.datetime.now().strftime('%Y-%m-%d'), line_width=3, line_dash="dash", line_color="green")

st.plotly_chart(fig, use_container_width=True)