# Policy: Queue-based Download Simulation
#
# This policy simulates a continuous stream of downloads. It pulls download tasks
# from a Redis queue, where each task typically contains a path to an info.json
# file and a format to download.
#
# This policy is designed to be the *second stage* of a two-stage simulation,
# consuming tasks produced by an authentication simulation like:
#   - `12_queue_auth_simulation.yaml` (when configured for Queue-Download workflow)
#
# It does not matter to this policy whether the auth stage created tasks per-URL
# or per-format; this worker will simply process whatever task it receives from
# the `input_queue`.
#
name: 13_queue_download_simulation

settings:
  mode: download_only
  orchestration_mode: queue_download
  profile_mode: from_pool_with_lock
  # In queue mode, info_json_dir is not used to find tasks.
  # However, the paths inside the download tasks must be accessible
  # within the docker_host_mount_path.
  # The profile_extraction_regex is also not needed as the profile
  # can be specified in the download task.

execution_control:
  # Define worker pools for multiple user groups
  worker_pools:
    - profile_prefix: "user1"
      workers: 1
    - profile_prefix: "user2"
      workers: 1
    - profile_prefix: "user3"
      workers: 1
  # How long a worker should pause if it cannot find an available profile or task.
  worker_polling_interval_seconds: 1

download_policy:
  # profile_prefix is now defined per-pool in execution_control.worker_pools
  # Default cooldown in seconds if not specified by the enforcer in Redis.
  # The value from Redis (set via `unlock_cooldown_seconds` in the enforcer policy)
  # will always take precedence. This is a fallback.
  # Can be an integer (e.g., 1) or a range (e.g., [1, 3]).
  default_unlock_cooldown_seconds: 1
  # If true, check if the download URL in the info.json is expired before
  # attempting to download. This is enabled by default.
  check_url_expiration: true
  # --- Airflow Integration ---
  # If true, move downloaded media and info.json to a timestamped, video-id-based
  # directory structure that the Airflow DAGs can process.
  output_to_airflow_ready_dir: true
  airflow_ready_dir_base_path: "downloadfiles/videos/ready"

direct_docker_cli_policy:
  # Which simulation environment's profiles to use for locking.
  use_profile_env: "download"

  # If true, a worker will try to lock a different profile than the one it just used.
  # This is disabled for downloads, as the cooldown mechanism is sufficient.
  avoid_immediate_profile_reuse: false
  # How long the worker should wait for a different profile before re-using the same one.
  avoid_reuse_max_wait_seconds: 5

  # NOTE on Rate Limits: With the default yt-dlp settings, the rate limit for guest
  # sessions is ~300 videos/hour (~1000 webpage/player requests per hour).
  # For accounts, it is ~2000 videos/hour (~4000 webpage/player requests per hour).
  # This enforcer policy should be configured to respect these limits via
  # rotation and rest periods.

  # --- Docker Execution Settings ---
  docker_image_name: "ytops/yt-dlp"
  docker_network_name: "airflow_proxynet"
  # Host path mounted into the container for task files (info.json, config).
  # IMPORTANT: This must be the SAME host path used for the `info_json_dir` above,
  # or a parent directory of it, so the container can see the task files.
  docker_host_mount_path: "run/docker_mount"
  docker_container_mount_path: "/config"

  # Path on the HOST where downloaded files will be saved.
  # NOTE: This path should be on a fast, local disk, NOT on s3fs.
  docker_host_download_path: "downloaded_media/queue_downloads"
  # Path inside the CONTAINER where `docker_host_download_path` is mounted.
  docker_container_download_path: "/downloads"

  # A base config file can be used, with overrides applied from the policy.
  # The orchestrator will inject 'proxy', 'load-info-json', and 'output' keys into the overrides.
  ytdlp_config_file: "cli.download.config"
  ytdlp_config_overrides:
    format: "299-dashy/298-dashy/137-dashy/136-dashy/135-dashy/134-dashy/133-dashy,140-dashy/140-dashy-0/140"
    #format: "bestvideo[ext=mp4]+bestaudio[ext=m4a]/best[ext=mp4]/best"
    no-resize-buffer: true
    buffer-size: "4M"
    concurrent-fragments: 8
  
  ytdlp_raw_args: []

  # --- Live Error Parsing Rules ---
  # If a fatal error is detected, immediately ban the profile to stop the container.
  ban_on_fatal_error_in_batch: true
  fatal_error_patterns:
    - "HTTP Error 403"
    - "HTTP Error 502"

  tolerated_error_patterns:
    - "timed out"
    - "Timeout"
    - "connection reset by peer"
    - "Invalid data found when processing input"
    - "Error opening input files"

# Settings for controlling the behavior of dummy/simulation modes.
# These values can be overridden at runtime with the --set flag.
dummy_simulation_settings:
  # Timings for dummy download simulation (per-format download time)
  download_min_seconds: 1.0
  download_max_seconds: 3.0
  download_failure_rate: 0.0
  download_skipped_failure_rate: 0.0

queue_policy:
  # Set to false to use legacy, unprefixed queue names (e.g., 'queue2_dl_inbox').
  # Set to true (or omit) to use environment-prefixed names (e.g., 'sim_download_queue2_dl_inbox').
  use_env_prefix: false
  
  # Queue to pull download tasks from
  input_queue: "queue2_dl_inbox"
  
  # Whether to report completion back to a queue
  # Can be true (report all), false (report none), or "success_only"/"failure_only"
  report_completion: true
  
  # Queue to report completion to
  completion_queue: "queue2_dl_completed"
  
  # Queue to report failures to (always reported regardless of report_completion)
  failure_queue: "queue2_dl_fail"
  
  # Queue to report skipped tasks to
  skipped_queue: "queue2_dl_skipped"
  
  # How many tasks to process in a batch. For downloads, this should be 1,
  # as each worker locks a profile for a single download task.
  batch_size: 1

simulation_parameters:
  download_env: "sim_download"