import matplotlib
matplotlib.use('Agg')  # non-GUI backend

import matplotlib.pyplot as plt
import csv

# Read contributors.csv
logins = []
commits = []

with open("contributors.csv") as f:
    reader = csv.DictReader(f)
    for row in reader:
        logins.append(row["login"])
        commits.append(int(row["commits"]))

# Sort contributors by commits descending
logins_sorted, commits_sorted = zip(*sorted(zip(logins, commits), key=lambda x: x[1], reverse=True))

# distribution graph
plt.figure(figsize=(12,6))
plt.plot(range(1, len(commits_sorted)+1), commits_sorted, marker='o')
plt.title("Commit Distribution Among Contributors (numpy/numpy)")
plt.xlabel("Contributor Rank")
plt.ylabel("Number of Commits")
plt.grid(True)
plt.tight_layout()
plt.savefig("commit_distribution.png")
plt.close()

# maintainer graph
plt.figure(figsize=(12,6))
top_n = 20
plt.bar(range(1, top_n+1), commits_sorted[:top_n], tick_label=logins_sorted[:top_n])
plt.title("Maintainer Concentration (Top 20 Contributors)")
plt.xlabel("Contributor")
plt.ylabel("Number of Commits")
plt.xticks(rotation=45, ha='right')
plt.tight_layout()
plt.savefig("maintainer_concentration.png")
plt.close()

print("Graphs generated successfully.")