Files
conjurer/conjurer_librarian/search_bot.py
T
Michal Tuszowski 597bc004fc docker: Proxmox deployment for bot/librarian/musician + code fixes
Containerises the three services (each intended for its own Proxmox VM)
and adds the code changes needed to run cleanly on Linux/Docker.

Code fixes:
- constants.py: CONJURER_DATA_DIR roots all writable bot state under one
  mounted volume (per-variable overrides still win; native Pi unaffected)
- conjurer_librarian/search_bot.py + scrape_bot.py: the hardcoded Windows
  DOI database path (C:\Database\chunks\) is now CONJURER_LIBRARIAN_DB_PATH,
  with CONJURER_LIBRARIAN_MAXTHREADS / _CHUNK also env-overridable

Docker:
- docker/Dockerfile.{bot,librarian,musician} + compose.{bot,librarian,musician}.yaml
- docker/env/*.env.example (force-added; real *.env stays gitignored)
- docker/entrypoint.bot.sh seeds default JSON state into /data only when
  absent, so preserved history is never overwritten
- .dockerignore
- docs/deployment/DOCKER_PROXMOX.md: step-by-step runbook incl. preserving
  the existing command/conversation history and cross-VM auth

The bot image uses the vendored yt_dlp/spotify_dl forks (they win on
sys.path over the pip packages), dropping the old sed patching.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-07-02 10:16:56 +02:00

199 lines
6.7 KiB
Python

"""
This module contains functions for searching for DOI (Digital Object Identifier)
in a list of live results.
It includes a producer-consumer pattern implementation using threads and queues.
Functions:
- producer: Reads lines from a file and puts them into an output queue.
- consumer: Consumes items from an input queue and checks if DOI exists in the live results list.
- search_for_doi: Searches for DOI in live results using the producer-consumer pattern.
Global Variables:
- MAXTHREADS: Maximum number of worker threads.
- DATABASE_PATH: Path to the database files.
- ENCODING: Encoding of the database files.
- CHUNK: File name pattern for the database files.
- _sentinel: Sentinel object used to signal termination.
- result_list: List to store the search results.
- WORK_Q_SIZE: Maximum size of the work queue.
"""
# TODO: Wpiemdolić to wszystko w klasę z loggerem przysłanym z góry
import os
from queue import Empty, Queue
from threading import Thread
import time
q = Queue()
#TODO: Count number of lines in files and print to approximate on which part of the file search is
# Deployment data is environment-overridable so the local DOI database can live
# on a mounted volume (Docker/Linux) instead of the hardcoded Windows path.
MAXTHREADS = int(os.getenv("CONJURER_LIBRARIAN_MAXTHREADS", "41"))
DATABASE_PATH = os.getenv("CONJURER_LIBRARIAN_DB_PATH", r"C:\\Database\\chunks\\")
ENCODING = os.getenv("CONJURER_ENCODING", "utf-8")
CHUNK = os.getenv("CONJURER_LIBRARIAN_CHUNK", "_chunk.txt")
_sentinel = object()
WORK_Q_SIZE = 35500000
def producer(out_q, control_q, filename, _logger):
"""
Produces items from the output queue and puts them into the control queue.
Args:
out_q (Queue): Output queue.
control_q (Queue): Control queue.
filename (str): Name of the file.
_logger: Logger object for logging.
"""
with open(DATABASE_PATH + filename, "r+", encoding=ENCODING) as operated_file:
print(f"Worker {filename} ")
line_no = 0
while True:
line = operated_file.readline()
line_no += 1
print(f"\t \t \t \t \t \t W{filename}{line_no}\r", end="")
if not line:
print(f"EOF {filename}")
break
if not line:
break
out_q.put(line)
try:
check = control_q.get(block=False)
except Empty:
check = False
if check is _sentinel:
print("TERM signal received")
control_q.put(check)
break
print(f"Worker finished: {filename}")
out_q.put(_sentinel)
# IMPORTANT!!! ONLY ONE CONSUMER THREAD AS WE ARE NOT PUTTING SENTINELS BACK
def consumer(in_q, control_q, doi, live_results, result_list, control_dict, no, _logger):
"""
Consumes items from an input queue and checks if DOI exists in the live results list.
Args:
in_q (Queue): Input queue.
control_q (Queue): Control queue.
doi (list): List of DOI to search for.
live_results (list): List to store the search results.
_logger: Logger object for logging.
"""
print(f"Consumer thread started: {no} no")
empty_counter = 0
alive_no = 0
while True:
done_check = True
try:
data = in_q.get(block=True, timeout = 1)
if data is _sentinel:
control_dict["sentinels"] += 1
print(f"Workers finished: {control_dict['sentinels']} reported by consumer {no}")
else:
empty_counter = 0
alive_no += 1
print(f"C{no}__{alive_no}\r", end="")
for item in result_list:
if item["DOI"] in data and not item["exists"]:
print(f"HIT in {no} content {data[0]} line {data[1]} file {data[2]} {item['exists']}")
_logger.info(data)
_logger.info("HIT")
item["exists"] = True
live_results.append(item)
done_check = done_check and item["exists"]
if done_check:
control_q.put(_sentinel)
except Empty:
empty_counter += 1
time.sleep(1)
print(f"Consumer {no} empty")
if empty_counter > 5:
print("Consumer %s empty lvl 2", no)
time.sleep(2)
elif empty_counter > 10:
print(f"Consumer thread finished {no}")
break
if control_dict["sentinels"] >= MAXTHREADS:
_logger.info(f"All workers finished {no}")
break
def search_for_doi(doi, live_results, _logger):
"""
Search for DOI in live_results using _logger for logging.
Args:
doi (list): List of DOI to search for.
live_results (list): List to store the search results.
_logger: Logger object for logging.
"""
control_dict = {"sentinels":0}
result_list = []
threads = []
work_q = Queue(maxsize=WORK_Q_SIZE)
control_q = Queue()
for item in doi:
result_list.append({"DOI": item[0], "exists": False, "data": item[1]})
for i in range (0, (len(doi)//1000)+2):
t_cons = Thread(
target=consumer, args=(work_q, control_q, doi, live_results, result_list, control_dict, i, _logger)
)
_logger.info("Consumer thread created")
threads.append(t_cons)
for i in range(0, MAXTHREADS):
# TEST DATA
# filename = "test" + str(i) + CHUNk
# DEPLOYMENT DATA
filename = str(i) + CHUNK
_logger.info(f"Creating worker thread no: {i}")
threads.append(
Thread(target=producer, args=(work_q, control_q, filename, _logger))
)
for worker in threads:
worker.start()
for worker in threads:
worker.join()
return result_list
if __name__ == "__main__":
import logging
logger = logging.getLogger()
logger.setLevel("DEBUG")
h1 = logging.StreamHandler()
logger.addHandler(h1)
logger.info("TEST RUN")
live_result = []
logger.info(
search_for_doi(
[
("10.1002/9781118786352.wbieg0998.pub2", "DATA"),
("10.1002/j.2050-0416.2002.tb00563.x", "DATA"),
("10.1111/j.1365-2958.1994.tb00448.x", "DATA"),
("10.2165/00128415-200309690-00017", "DATA"),
("10.5772/48313", "DATA"),
("10.15803/ijnc.7.2_419", "DATA"),
("10.1051/0004-6361/201321596e", "DATA"),
("10.2307/40835941", "DATA"),
],
live_result,
logger,
)
)
logger.info(live_result)