Land prototype on main (fix stacked-PR retarget gap)

PRs #10 and #11 were merged into their intermediate base branches
(restructure/working-copy-root and proto-improvements) rather than main,
because the stacked PRs' bases were not auto-retargeted (the branches were
not deleted on merge). As a result main only received the #9 restructure
and is still the plain working-copy bot.

This brings the full prototype onto main as a clean delta on top of the
current main tree (identical content to proto-improvements, but with main
ancestry so it merges without the squash-induced rename/delete conflicts):

- constants.py: env-var config, safe JSON loading, dependency guards,
  env->netrc tokens, API_SHARED_KEY + service_headers(), CONAN_* config
- communication_subroutine.py: queue timeout/Empty, daemon threads,
  cooperative stop_event, inbound _authorize_request()
- bot.py: asyncio event loop + load conanjurer_commands
- music_functions / radio_commands / librarian_commands: X-Conjurer-Api-Key
- conanjurer_commands/_functions: fixed + integrated bridge with RCON
  player-join notifications
- requirements_bot.txt: aiomcrcon, asyncssh
- conjurer_musician/.gitignore: keep runtime playlists/mp3 out of the repo

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
This commit is contained in:
Michal Tuszowski
2026-06-29 11:26:41 +02:00
committed by Michał Tuszowski
parent a64fb2da57
commit 5adeb1b384
10 changed files with 687 additions and 243 deletions
+61 -24
View File
@@ -1,17 +1,20 @@
import json
import logging
import os
import re
import threading
import time
from queue import Empty, Queue
from typing import Optional
from urllib import request as urequest
from flask import Flask, jsonify, request
from flask import Flask, abort, jsonify, request
from waitress import serve
HOST_ADDRESS = "192.168.1.31"
PORT_ADDRESS = 5000
ICECAST_ADDRESS = "http://192.168.1.15:8000"
HOST_ADDRESS = os.getenv("CONJURER_DISCORD_HOST", "192.168.1.31")
PORT_ADDRESS = int(os.getenv("CONJURER_DISCORD_PORT", "5000"))
ICECAST_ADDRESS = os.getenv("CONJURER_ICECAST", "http://192.168.1.15:8000")
API_KEY = os.getenv("CONJURER_API_KEY")
OUT_COMM_Q = Queue()
IN_COMM_Q = Queue()
SRCHTITLE = re.compile(rb"StreamTitle=\\*(?P<title>[^;]*);").search
@@ -19,6 +22,12 @@ SRCHTITLE = re.compile(rb"StreamTitle=\\*(?P<title>[^;]*);").search
awaiting_q = []
incoming_q = Queue()
app = Flask(__name__)
def _authorize_request() -> None:
"""Reject inbound calls lacking the shared key (no-op if key is unset)."""
if API_KEY and request.headers.get("X-Conjurer-Api-Key") != API_KEY:
abort(401)
PREPPED_TRACKS = {
"requests": "",
"hit": "",
@@ -53,6 +62,7 @@ class QueryControl:
@app.route("/prepped_tracks", methods=["POST"])
def log_radio_tracks():
_authorize_request()
app.logger = logging.getLogger("discord")
app.logger.info(request)
@@ -85,6 +95,7 @@ def answer_external_command():
:return: The function `answer_external_command()` is returning a JSON response with the message
"SUCCESS".
"""
_authorize_request()
logger = logging.getLogger("discord")
logger.info(request)
record = json.loads(request.data)
@@ -129,34 +140,42 @@ def waitress_run():
serve(app, host=HOST_ADDRESS, port=PORT_ADDRESS)
def scan_queue():
def scan_queue(stop_event: Optional[threading.Event] = None):
"""
The function `scan_queue` reads data from a queue, logs it, and appends it to another queue.
:param _logger: The `_logger` parameter is typically an instance of a logging object that is used to
record and store log messages. It is commonly used to track the flow of the program, record errors,
and provide information for debugging purposes. In this code snippet, the `_logger` object is used
to log the
A bounded ``get(timeout=1)`` is used instead of a blocking ``get()`` so the
worker can observe ``stop_event`` and exit cleanly during shutdown.
:param stop_event: optional :class:`threading.Event`; when set the loop
stops at the next iteration.
"""
logger = logging.getLogger("discord")
while True:
data = OUT_COMM_Q.get()
if stop_event and stop_event.is_set():
logger.info("scan_queue: stop requested")
break
try:
data = OUT_COMM_Q.get(timeout=1)
except Empty:
continue
logger.info(data)
awaiting_q.append(data)
def scan_incoming():
def scan_incoming(stop_event: Optional[threading.Event] = None):
"""
The `scan_incoming` function continuously checks for incoming data, processes it, and logs when data
is found.
:param _logger: The `_logger` parameter in the `scan_incoming` function is a logger object that is
used to log messages or information during the execution of the function. It is typically used for
debugging, monitoring, or tracking the flow of the program. In this case, the `_logger` is being
used
:param stop_event: optional :class:`threading.Event`; when set the loop
stops at the next iteration.
"""
logger = logging.getLogger("discord")
while True:
if stop_event and stop_event.is_set():
logger.info("scan_incoming: stop requested")
break
try:
answer = incoming_q.get(block=False)
logger.info("DATA FOUND")
@@ -204,27 +223,45 @@ def id3(url: str) -> dict:
return tagdata
def comm_subroutine():
def comm_subroutine(stop_event: Optional[threading.Event] = None):
"""
The `comm_subroutine` function starts multiple threads to run different tasks concurrently.
:param logger: The `logger` parameter in the `comm_subroutine` function is an instance of a logger
object that is used for logging messages at various levels (e.g., debug, info, warning, error). In
the provided code snippet, the logger is used to log messages at the "info" level
Workers run as daemon threads and honour an optional ``stop_event`` so the
bot can shut the communication layer down cleanly instead of blocking
forever on ``join()``.
:param stop_event: optional :class:`threading.Event` shared with the caller
to coordinate a cooperative shutdown.
"""
# logger.setLevel(logging.DEBUG)
logger = logging.getLogger("discord")
logger.info("Started comms")
threads = []
# threads.append(threading.Thread(target=flask_debug))
threads.append(threading.Thread(target=waitress_run))
threads.append(threading.Thread(target=scan_queue))
threads.append(threading.Thread(target=scan_incoming))
threads.append(threading.Thread(target=waitress_run, daemon=True))
threads.append(
threading.Thread(
target=scan_queue, kwargs={"stop_event": stop_event}, daemon=True
)
)
threads.append(
threading.Thread(
target=scan_incoming, kwargs={"stop_event": stop_event}, daemon=True
)
)
for worker in threads:
worker.start()
for worker in threads:
worker.join()
try:
while any(thread.is_alive() for thread in threads):
if stop_event and stop_event.is_set():
break
time.sleep(0.5)
finally:
if stop_event:
stop_event.set()
if __name__ == "__main__":