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contributions.py
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contributions.py
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# To add a new cell, type '# %%'
# To add a new markdown cell, type '# %% [markdown]'
# %%
import os
from datetime import datetime
from IPython.core.display import ProgressBar
import numpy as np
import pandas as pd
from gql import gql, Client, AIOHTTPTransport
import asyncio
TOP = 100
TOKEN = "bearer " + os.getenv("GH_GQL_API_TOKEN")
# Select your transport with a GitHub url endpoint
transport = AIOHTTPTransport(
url="https://api.github.com/graphql", headers={"Authorization": TOKEN}
)
client = Client(transport=transport, fetch_schema_from_transport=True,)
def progress(percent=0, width=30):
"Print simple progress bar"
left = int(width * percent // 100)
right = width - left
print(
"\r[",
"=" * left,
" " * right,
"]",
f" {percent:.0f}%",
sep="",
end="",
flush=True,
)
async def main():
# Using `async with` on the client will start a connection on the transport
# and provide a `session` variable to execute queries on this connection
async with client as session:
# Provide a GraphQL query
query = gql(
"""
query search($query: String!, $type: SearchType!, $numOfResults: Int!, $nextPageCursor: String) {
search(type: $type, query: $query, first: $numOfResults, after: $nextPageCursor) {
pageInfo {
hasNextPage
endCursor
}
userCount
nodes {
... on User {
name
login
location
bio
avatarUrl
followers {
totalCount
}
contributionsCollection {
contributionCalendar{
totalContributions
}
totalCommitContributions
totalPullRequestContributions
restrictedContributionsCount
}
}
}
}
}
"""
)
params = {"query": "location:Cuba", "type": "USER", "numOfResults": 20}
print("Getting users...")
result_users = []
result_count = 0
result_next = True
first = True
pb = ProgressBar(result_count)
while result_next:
try:
result = await session.execute(query, variable_values=params)
except asyncio.exceptions.TimeoutError:
continue
result_users += result.get("search").get("nodes", [])
result_count = result.get("search").get("userCount", 0)
if first:
pb.total = result_count
first = False
pb._progress = len(result_users)
result_next = result.get("search").get("pageInfo").get("hasNextPage", False)
params["nextPageCursor"] = (
result.get("search").get("pageInfo").get("endCursor")
)
progress(len(result_users) * 100 / result_count)
await asyncio.sleep(1)
users = result_users
print("\nTotal GitHub Users from Cuba: %s" % len(users))
try:
assert len(users) > 0
except AssertionError:
raise Exception("ERROR: Unavailable users!")
for user in users:
if user:
user["followers"] = user.get("followers").get("totalCount", 0)
user["contributions"] = user.get("contributionsCollection").get(
"contributionCalendar"
).get("totalContributions", 0) - user.get(
"contributionsCollection"
).get(
"restrictedContributionsCount", 0
)
user["commits"] = user.get("contributionsCollection").get(
"totalCommitContributions", 0
) + user.get("contributionsCollection").get(
"totalPullRequestContributions", 0
)
del user["contributionsCollection"]
df = pd.DataFrame(users)
df.dropna(how="all", inplace=True)
# df = df.reset_index(drop=True)
df = df.sort_values(by="commits", ascending=False)
# Top Ten Cuba
new_dtypes = {
"followers": np.int64,
"contributions": np.int64,
"commits": np.int64,
}
position = ["\U0001F947", "\U0001F948", "\U0001F949"] + list(range(4, TOP + 1))
df_top_ten = df[:TOP]
df_top_ten = df_top_ten.astype(new_dtypes)
# Clean
df_top_ten.fillna("", inplace=True)
# Re-Order Columns
df_top_ten = df_top_ten[
[
"name",
"login",
"location",
"commits",
"contributions",
"followers",
"bio",
"avatarUrl",
]
]
df_top_ten.insert(0, "#", position)
print("Top %s of %s GitHub Users from Cuba" % (TOP, len(users)))
print("Generated at: %s UTC" % datetime.utcnow())
table_name = "table_cuba_contributions.html"
df_top_ten.to_html(buf=table_name, index=False)
print("Saved table: %s" % table_name)
loop = asyncio.get_event_loop()
loop.run_until_complete(main())