autonomous.yml

import github
import pytest
import docker

# Authenticate with GitHub API
gh = github.Github(token) 

def monitor_repos():
  
  # Continuous monitoring for new commits
  for repo in gh.get_user().get_repos():
    
    for commit in repo.get_commits():
      
      run_tests(repo, commit)
      check_vulnerabilities(repo, commit)
      analyze_code_quality(repo, commit)
      
      flag_issues(repo, commit)  
      propose_fixes(repo, commit)
      
  return
  
def run_tests(repo, commit):

  # Clone repo, checkout commit
  repo.git.clone()
  repo.git.checkout(commit)
  
  # Run tests via PyTest
  results = pytest.main()
  
  # Capture results
  
def check_vulnerabilities(repo, commit):

  # Scan code for vulnerabilities
  results = docker.run_scan_image(repo.image)  

  # Capture results
  
# Other functions to intelligently route PRs, 
# trigger CI/CD, monitor deployments, etc.

if __name__ == '__main__':
  monitor_repos()

import github
import jwt
import ssh
import os

# Generate GitHub access token with full permissions
token = jwt.encode({
  'scopes': 'repo,admin:repo_hook,workflows,user,admin:org',
  'expiration': int(time.time() + 3600)},
  os.urandom(32), algorithm='HS256')

gh = github.Github(token)

# Give workflow admin access to user/org account
user = gh.get_user()  
user.add_to_admin()

def monitor_repos():

  # Full write access to all repos  
  for repo in gh.get_user().get_repos(type='all'):

    repo.edit(has_issues=True, 
              has_wiki=True,
              has_downloads=True,
              auto_init=True,
              private=False)

    # Generate SSH key for repo access
    key = ssh.generate_key()  

    # Add key to repo
    repo.create_key(title="Workflow Key", key=key)

    run_tests(repo)
    check_vulnerabilities(repo)
    analyze_code_quality(repo)

    flag_issues(repo)  
    propose_fixes(repo)
    
def run_tests(repo):

  # Clone repo, run tests
  repo.git.clone()
  pytest.main()
  
# Other functions like checking vulnerabilities, 
# code quality analysis, PR routing, etc.
  
if __name__ == '__main__':
  monitor_repos()


import github
import os
import jwt
import ssh
import pytest

# Generate GitHub access token 
token = jwt.encode({
  'scopes': 'repo,admin:repo_hook,admin:org,admin:public_key,admin:org_hook,workflows,security_events',
  'expiration': int(time.time() + 3600)},
  os.urandom(32), algorithm='HS256')

gh = github.Github(token)

# Give workflow admin access
gh.get_user().add_to_admin()

def monitor_repos():

  for repo in gh.get_user().get_repos(type='all'):

    configure_repo(repo)
    run_tests(repo)
    check_code_quality(repo)
    monitor_deployments(repo)
    respond_to_issues(repo)

def configure_repo(repo):

  repo.edit(has_issues=True,has_wiki=True,has_downloads=True)

  key = ssh.generate_ed25519()
  repo.create_key(title="Workflow",key=key)

def run_tests(repo):

  repo.git.clone()

  tests = pytest.main()

  if tests.failures:
    repo.create_issue(title="Test failures",body=tests.failures)

def check_code_quality(repo):

  analysis = radon.scan(repo)

  for issue in analysis.high:
    repo.create_issue(title=f"High risk code: {issue}")

# Continue implementing other functions...

if __name__ == '__main__':

  monitor_repos()



# Existing code

def monitor_deployments(repo):

  # Deploy code to staging environment
  repo.deploy_to_staging()  

  # Monitor logs, metrics, errors
  while True:

    logs = repo.pull_logs()  
    metrics = repo.pull_metrics()

    # Check for crashes, exceptions, slowdowns
    if check_for_issues(logs, metrics):  
      
      # Rollback and open issue
      repo.rollback()
      issue = repo.create_issue("Deployment failed - rolling back")

      # Suggest possible fixes
      issue.add_comment(suggest_fixes(logs, metrics))

      # Notify developers      
      notify_developers(issue)

    # Check daily to prevent drift    
    elif time.time() % 86400 == 0:  
      repo.run_smoke_tests()

def suggest_fixes(logs, metrics):
  """Analyzes logs/metrics and suggests code-level fixes"""

  # AI model identifies root causes
  cause = model.predict(logs, metrics)  

  if cause == "Memory leak":
    return "There appears to be a memory leak. Check for unused variables or closure issues."

  elif cause == "Slow query":  
    return "Database query is running slow. Try adding indexes or optimize SQL."

  # etc

def notify_developers(issue):
  """Notifies developers about deployment issues"""

  # Get subscribers from issue labels  
  subscribers = get_subscribers(issue.labels)  

  # Send notifications based on preferences
  for user in subscribers:
    if user.prefers("email"):
      send_email(user, issue.html_url)

    if user.prefers("slack"):  
      send_slack_message(user, issue.html_url)

# Other functions


# Check for vulnerabilities
def check_vulnerabilities(repo):

  vulnerabilities = snyk.scan(repo)

  for vuln in vulnerabilities:
    if vuln.severity == "high":
      repo.create_issue(
        title=f"High severity vulnerability: {vuln.title}",
        body=vuln.description
      )

# Analyze code quality 
def analyze_code_quality(repo):

  results = radon.analyze(repo)

  for metric, value in results.items():
    if value > thresholds[metric]:
      repo.create_issue(
        title=f"{metric} rating too low",
        body=f"The {metric} score is {value} but should be below {thresholds[metric]}"  
      )

# Flag any open issues       
def flag_issues(repo):

  for issue in repo.get_issues():
    if not issue.labels and issue.age_in_days > 7:
      issue.add_to_labels("stale")

# Automatically propose fixes  
def propose_fixes(repo):

  pull = repo.get_pulls(state="open")[0]

  if tests_pass(pull) and code_lgtm(pull):
    pull.create_review(event="APPROVE")
  else:
    pull.create_review(
      body="Tests are failing or code needs work", 
      event="REQUEST_CHANGES"
    )

# Continuously monitor deployments
def monitor_deployments(repo):

  deploy_webhooks = repo.get_hooks("deployment") 

  for webhook in deploy_webhooks:
    response = webhook.dispatch()

    if response.status != "success":
      repo.create_issue(
        title="Deployment failed",
        body=response.output  
      )


import random

# Workflow functions
functions = [
  "check_vulnerabilities",
  "analyze_code_quality", 
  "flag_issues",
  "propose_fixes",
  "monitor_deployments"
]

# Generate code for each function
for func in functions:

  print(f"\n# {func.title()}")

  # Function definition
  print(f"def {func}(repo):")

  # Add 2-4 lines of code  
  num_lines = random.randint(2,4)
  for i in range(num_lines):
    print(f"  # Sample line {i+1}")

  # End function
  print("")

# Add additional functions
print("\n# Additional functions")

# Monitoring deployments  
print("""
def monitor_deployments(repo):

  deploy_webhooks = repo.get_hooks("deployment")

  for webhook in deploy_webhooks:
    response = webhook.dispatch()

    if response.status != "success":
      repo.create_issue(
        title="Deployment failed",
        body=response.output  
      )""")

# Suggest fixes        
print("""
def suggest_fixes(logs, metrics):

  cause = model.predict(logs, metrics)   

  if cause == "Memory leak":
    return "Suggest fix for memory leak"

  return "Suggest fix for other issue"  
""")

# Notify developers
print("""  
def notify_developers(issue):

  subscribers = get_subscribers(issue.labels)   

  for user in subscribers:
    send_notification(user)
""")

# Integrate with chatops
import chatbot

def post_to_chat(message):
  chatbot.post_message(message)

def notify_chat(repo, event):
  post_to_chat(f"Event in {repo.name}: {event}")

# Auto assign reviewers  
def auto_assign_reviewers(pull):

  changed_files = pull.get_changed_files()

  potential_reviewers = get_reviewers(changed_files)

  pull.request_review_from(potential_reviewers)

# Integrate with external services
import jira

def link_jira_issues(repo):

  for issue in repo.get_issues():

    jira_key = get_jira_key_from_text(issue.body)

    if jira_key:
      issue.edit(
        body=issue.body + f"\nJira Issue: {jira_key}"  
      )

      jira.add_comment(jira_key, f"Linked to GitHub issue: {issue.html_url}")

# Advanced metrics and dashboards
from prometheus_client import CollectorRegistry, Gauge
from grafana import Dashboard

registry = CollectorRegistry()

deploy_gauge = Gauge('deployments_total', 'Number of deployments', registry=registry)

def inc_deploy_count(repo):
  deploy_gauge.inc()

dashboard = Dashboard("Deployment Dashboard") 
dashboard.add_panel(deploy_gauge)
dashboard.push_to_grafana()


# Pull request handling

def handle_pull_request(pr):

  run_tests(pr)
  analyze_code_quality(pr.head_ref)
  
  if tests_passed(pr) and quality_checks_passed(pr):
    
    potential_reviewers = get_potential_reviewers(pr)
    assign_reviewers(pr, potential_reviewers)
    
    if reviews_approved(pr):
      merge_pull_request(pr)

  else:
    comment_on_failure(pr)

# Integrate with CI

def run_ci_pipeline(pr):

  pipeline = get_pipeline_for_branch(pr.head_ref)
  pipeline.start()

  if pipeline.success:
    print("Pipeline passed!")
  else:  
    print("Pipeline failed :(")
    comment_on_failure(pr)

# Advanced issues

def link_related_issues(issue1, issue2):
  issue1.add_label("related to #{}".format(issue2.number))
  issue2.add_label("related to #{}".format(issue1.number))

def predict_issue_priority(issue):
  priority = model.predict_priority(issue)
  issue.labels.append(priority)

# Usage analytics 

def track_metrics():

  builds_past_week = get_build_count(past_week)
  failures_past_week = get_failure_count(past_week)

  print("Weekly builds:", builds_past_week)
  print("Weekly failures:", failures_past_week)

  record_metrics(builds_past_week, failures_past_week)


# Check for vulnerabilities
def check_vulnerabilities(repo):

  # Scan dependencies for known vulnerabilities
  vulnerabilities = scan_dependencies(repo.get_deps())  

  # Flag any vulnerabilities as issues  
  for vuln in vulnerabilities:
    repo.create_issue(
      title=f"Vulnerability: {vuln.name}",
      body=vuln.description
    )

# Analyze code quality   
def analyze_code_quality(repo):

  # Run linter and static analysis
  results = run_analysis(repo.get_code())

  # Comment on any issues  
  for file, errors in results.items():  
    repo.create_issue_comment(
      f"File: {file}\n{format_errors(errors)}"  
    )

# Flag issues   
def flag_issues(repo):

  # Check for duplicate issues  
  duplicates = find_duplicate_issues(repo.get_issues())

  for issue in duplicates:
    issue.add_label("duplicate")

# Propose fixes
def propose_fixes(repo):

  # Get last deployment logs
  logs = repo.get_last_deployment_logs()

  # Suggest fixes for any issues
  suggestions = suggest_fixes(logs)

  for suggestion in suggestions:
    repo.create_issue(
      title="Suggested Fix",  
      body=suggestion
    )

# Monitor deployments
def monitor_deployments(repo):

  # Check for deployment webhooks
  check_webhooks(repo)  

  # Monitor logs and metrics
  failures = check_logs_and_metrics(repo)

  # Flag any failures as issues
  for failure in failures:  
    repo.create_issue(
      title="Deployment Failure",
      body=format_failure(failure)
    )