#
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements.  See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not use this file except in compliance with
# the License.  You may obtain a copy of the License at
#
#    http://www.apache.org/licenses/LICENSE-2.0
#
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# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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"""Script for downloading GitHub Actions artifacts from 'Build python wheels' workflow."""
import argparse
import itertools
import os
import pprint
import shutil
import sys
import tempfile
import time
import zipfile

import dateutil.parser
import requests

GH_API_URL_WORKLOW_FMT = "https://api.github.com/repos/{repo_url}/actions/workflows/build_wheels.yml"
GH_API_URL_WORKFLOW_RUNS_FMT = "https://api.github.com/repos/{repo_url}/actions/workflows/{workflow_id}/runs?branch={ref}"
GH_API_URL_WORKFLOW_RUN_FMT = "https://api.github.com/repos/{repo_url}/actions/runs/{run_id}"
GH_WEB_URL_WORKLOW_RUN_FMT = "https://github.com/{repo_url}/actions/runs/{run_id}"


def parse_arguments():
  """
  Gets all neccessary data from the user by parsing arguments or asking for input.
  Return: github_token, user_github_id, repo_url, rc_tag, release_commit, artifacts_dir, rc_number
  """
  parser = argparse.ArgumentParser(
      description=
      "Script for downloading GitHub Actions artifacts from 'Build python wheels' workflow."
  )
  parser.add_argument("--github-token-var", required=False, default='GITHUB_TOKEN')
  parser.add_argument("--repo-url", required=True)
  parser.add_argument("--rc-tag", required=True)
  parser.add_argument("--release-commit", required=True)
  parser.add_argument("--artifacts_dir", required=True)
  parser.add_argument("--rc_number", required=False, default="")
  parser.add_argument("--yes", required=False, default=False)

  args = parser.parse_args()
  github_token = get_github_token(args.github_token_var)

  print("You passed following arguments:")
  pprint.pprint({**vars(args), **{"github_token": github_token}})

  if not args.yes and not get_yes_or_no_answer("Do you want to continue?"):
    print("You said NO. Quitting ...")
    sys.exit(1)

  repo_url = args.repo_url
  rc_tag = args.rc_tag
  release_commit = args.release_commit
  artifacts_dir = args.artifacts_dir if os.path.isabs(args.artifacts_dir) \
    else os.path.abspath(args.artifacts_dir)
  rc_number = args.rc_number
  skip_prompts = args.yes

  return github_token, repo_url, rc_tag, release_commit, artifacts_dir, rc_number, skip_prompts


def get_github_token(github_token_var):
  """Get GitHub token from env or ask for it and print basic information about it."""
  if github_token_var in os.environ:
    return os.environ[github_token_var]

  url = "https://docs.github.com/en/github/authenticating-to-github/creating-a-personal-access-token"
  message = (
      f"You need to have a github access token with public_repo scope. "
      f"More info about creating access tokens can be found here {url}")
  print(message)
  github_token = input("Enter github token: ")
  if not github_token:
    return ask_for_github_token()
  return github_token


def request_url(url, github_token, return_json=True, *args, **kwargs):
  """Helper function for making requests authorized by GitHub token."""
  r = requests.get(url, *args, auth=("token", github_token), **kwargs)
  if return_json:
    r.raise_for_status()
    return r.json()
  return r


def safe_get(data, key, url=None):
  """Looks up attribute values from a parsed JSON HTTP response."""
  if key not in data:
    message = f'There is missing key: "{key}" in response data: {data}.'
    if url:
      message += f" Requested url: {url}"
    raise ValueError(message)
  return data.get(key)


def get_yes_or_no_answer(question):
  """Asks yes or no question."""
  reply = str(input(question + " 'y' or 'n'): ")).lower().strip()
  if reply == "y":
    return True
  elif reply == "n":
    return False
  else:
    return get_yes_or_no_answer("Please enter")


def get_build_wheels_workflow_id(repo_url, github_token):
  """Gets the ID of the Github Actions workflow responsible for building wheels."""
  url = GH_API_URL_WORKLOW_FMT.format(repo_url=repo_url)
  data = request_url(url, github_token)
  return safe_get(data, "id", url)


def get_single_workflow_run_data(run_id, repo_url, github_token):
  """Gets single workflow run data (github api payload)."""
  url = GH_API_URL_WORKFLOW_RUN_FMT.format(repo_url=repo_url, run_id=run_id)
  print('Fetching run data: ', url)
  return request_url(url, github_token)


def get_last_run_id(
    workflow_id, repo_url, rc_tag, release_commit, github_token):
  """
  Gets id of last run for given workflow, repo, branch and commit.
  Raises exception when no run found.
  """
  url = GH_API_URL_WORKFLOW_RUNS_FMT.format(
      repo_url=repo_url, workflow_id=workflow_id, ref=rc_tag)
  data = request_url(
      url,
      github_token,
      params={
          "event": "push", "tag": rc_tag
      },
  )
  runs = safe_get(data, "workflow_runs", url)

  filtered_commit_runs = [
      r for r in runs if r.get("head_sha", "") == release_commit
  ]

  if not filtered_commit_runs:
    workflow_run_web_url = GH_API_URL_WORKFLOW_RUNS_FMT.format(
        repo_url=repo_url, workflow_id=workflow_id, ref=rc_tag)
    raise Exception(
        f"No runs for workflow (tag {rc_tag}, commit {release_commit}). Verify at {workflow_run_web_url}"
    )

  sorted_runs = sorted(
      filtered_commit_runs,
      key=lambda w: dateutil.parser.parse(w["created_at"]),
      reverse=True,
  )
  last_run = sorted_runs[0]
  last_run_id = safe_get(last_run, "id")
  print(
      f"Found last run. SHA: {release_commit}, created_at: '{last_run['created_at']}', id: {last_run_id}"
  )
  workflow_run_web_url = GH_WEB_URL_WORKLOW_RUN_FMT.format(
      repo_url=repo_url, run_id=last_run_id)
  print(f"Verify at {workflow_run_web_url}")
  print(
      f"GCS location corresponding to artifacts built in this run: "
      f"gs://beam-wheels-staging/{rc_tag}/{release_commit}-{last_run_id}/"
  )
  return last_run_id


def validate_run(run_id, repo_url, github_token):
  """Validates workflow run. Verifies succesfull status and waits if run is not finished."""
  run_data = get_single_workflow_run_data(run_id, repo_url, github_token)
  status = safe_get(run_data, "status")
  conclusion = safe_get(run_data, "conclusion")

  if status == "completed" and conclusion == "success":
    return run_id
  elif status in ["queued", "in_progress"]:
    wait_for_workflow_run_to_finish(
        run_id, repo_url, status, conclusion, github_token)
  else:
    run_web_url = GH_WEB_URL_WORKLOW_RUN_FMT.format(
        repo_url=repo_url, run_id=run_id)
    raise Exception(
        f"Run unsuccessful. Status: {status}. Conclusion: {conclusion}. Check at: {run_web_url}"
    )


def wait_for_workflow_run_to_finish(
    run_id, repo_url, status, conclusion, github_token):
  """Waits for given workflow run to finish succesfully"""
  run_web_url = GH_WEB_URL_WORKLOW_RUN_FMT.format(
      repo_url=repo_url, run_id=run_id)
  print(
      f"Started waiting for Workflow run {run_id} to finish. Check on {run_web_url}"
  )
  start_time = time.time()
  last_request = start_time
  spinner = itertools.cycle(["|", "/", "-", "\\"])
  request_interval = 10

  while True:
    now = time.time()
    elapsed_time = time.strftime("%H:%M:%S", time.gmtime(now - start_time))
    print(
        f"\r {next(spinner)} Waiting to finish. Elapsed time: {elapsed_time}. "
        f"Current state: status: `{status}`, conclusion: `{conclusion}`.",
        end="",
    )

    time.sleep(0.3)
    if (now - last_request) > request_interval:
      last_request = now
      run_data = get_single_workflow_run_data(run_id, repo_url, github_token)
      status = safe_get(run_data, "status")
      conclusion = safe_get(run_data, "conclusion")
      if status in ["queued", "in_progress"]:
        continue
      elif status == "completed" and conclusion == "success":
        print(
            f"\rFinished in: {elapsed_time}. "
            f"Last state: status: `{status}`, conclusion: `{conclusion}`.",
        )
        return run_id
      else:
        print("\r")
        raise Exception(
            f"Run unsuccessful. Conclusion: {conclusion}. Check at: {run_web_url}"
        )


def prepare_directory(artifacts_dir, skip_prompts):
  """Creates given directory and asks for confirmation if directory exists before clearing it."""
  print(f"Preparing Artifacts directory: {artifacts_dir}")
  if os.path.isdir(artifacts_dir):
    question = (
        f"Found that directory already exists.\n"
        f"Any existing content in it will be erased. Proceed?\n"
        f"Your answer")
    if skip_prompts or get_yes_or_no_answer(question):
      print(f"Clearing directory: {artifacts_dir}")
      shutil.rmtree(artifacts_dir, ignore_errors=True)
    else:
      print("You said NO for clearing artifacts directory. Quitting ...")
      sys.exit(1)

  os.makedirs(artifacts_dir)


def filter_artifacts(artifacts, rc_number):
  def filter_source(artifact_name):
    if rc_number:
      return artifact_name.startswith("source_zip_rc{}".format(rc_number))
    return artifact_name.startswith("source_zip") and "_rc" not in artifact_name

  def filter_wheels(artifact_name):
    if rc_number:
      return artifact_name.startswith("wheelhouse-rc{}".format(rc_number))
    return artifact_name.startswith("wheelhouse") and "-rc" not in artifact_name

  return [a for a in artifacts if (filter_source(a["name"]) or filter_wheels(a["name"]))]

def fetch_github_artifacts(run_id, repo_url, artifacts_dir, github_token, rc_number):
  """Downloads and extracts github artifacts with source dist and wheels from given run."""
  print("Starting downloading artifacts ... (it may take a while)")
  run_data = get_single_workflow_run_data(run_id, repo_url, github_token)
  artifacts_url = safe_get(run_data, "artifacts_url")
  data_artifacts = request_url(artifacts_url + '?per_page=100', github_token)
  artifacts = safe_get(data_artifacts, "artifacts", artifacts_url)
  total_count = safe_get(data_artifacts, "total_count", artifacts_url)
  if int(total_count) != len(artifacts):
    raise RuntimeError(f"Expected total count {total_count} different than returned list length {len(data_artifacts)}")
  print('Filtering ', len(artifacts), ' artifacts')
  filtered_artifacts = filter_artifacts(artifacts, rc_number)
  print('Preparing to download ', len(filtered_artifacts), ' artifacts')
  for artifact in filtered_artifacts:
    url = safe_get(artifact, "archive_download_url")
    name = safe_get(artifact, "name")
    size_in_bytes = safe_get(artifact, "size_in_bytes")
    print('Downloading ', size_in_bytes, ' from ', url)

    with tempfile.TemporaryDirectory() as tmp:
      temp_file_path = os.path.join(tmp, name + ".zip")
      download_single_artifact(
          url, name, size_in_bytes, temp_file_path, github_token)
      extract_single_artifact(temp_file_path, artifacts_dir)


def download_single_artifact(
    url, name, size_in_bytes, target_file_path, github_token):
  artifacts_size_mb = round(size_in_bytes / (1024 * 1024), 2)
  print(
      f"\tDownloading {name}.zip artifact (size: {artifacts_size_mb} megabytes)"
  )

  with request_url(url,
                   github_token,
                   return_json=False,
                   allow_redirects=True,
                   stream=True) as r:
    with open(target_file_path, "wb") as f:
      shutil.copyfileobj(r.raw, f)


def extract_single_artifact(file_path, output_dir):
  with zipfile.ZipFile(file_path, "r") as zip_ref:
    print(f"\tUnzipping {len(zip_ref.filelist)} files")
    zip_ref.extractall(output_dir)


if __name__ == "__main__":
  print(
      "Starting script for download GitHub Actions artifacts for Build Wheels workflow"
  )
  (
      github_token,
      repo_url,
      rc_tag,
      release_commit,
      artifacts_dir,
      rc_number,
      skip_prompts,
  ) = parse_arguments()

  try:
    workflow_id = get_build_wheels_workflow_id(repo_url, github_token)
    run_id = get_last_run_id(
        workflow_id, repo_url, rc_tag, release_commit, github_token)
    validate_run(run_id, repo_url, github_token)
    prepare_directory(artifacts_dir, skip_prompts)
    fetch_github_artifacts(run_id, repo_url, artifacts_dir, github_token, rc_number)
    print("Script finished successfully!")
    print(f"Artifacts available in directory: {artifacts_dir}")
  except KeyboardInterrupt as e:
    print("\nScript cancelled. Quitting ...")
