154 lines
5.2 KiB
Python
154 lines
5.2 KiB
Python
from fastapi import HTTPException, APIRouter
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from pydantic import BaseModel
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import subprocess
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import os
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import signal
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import json
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import csv
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from models import *
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from internal.logger import create_logger
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router = APIRouter()
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LOGGER = create_logger(__name__)
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op25_process = None
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OP25_PATH = "/op25/op25/gr-op25_repeater/apps/"
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OP25_SCRIPT = "run_multi-rx_service.sh"
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@router.post("/start")
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async def start_op25():
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global op25_process
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if op25_process is None:
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try:
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op25_process = subprocess.Popen(os.path.join(OP25_PATH, OP25_SCRIPT), shell=True, preexec_fn=os.setsid, cwd=OP25_PATH)
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LOGGER.debug(op25_process)
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return {"status": "OP25 started"}
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except Exception as e:
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raise HTTPException(status_code=500, detail=str(e))
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else:
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return {"status": "OP25 already running"}
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@router.post("/stop")
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async def stop_op25():
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global op25_process
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if op25_process is not None:
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try:
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os.killpg(os.getpgid(op25_process.pid), signal.SIGTERM)
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op25_process = None
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return {"status": "OP25 stopped"}
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except Exception as e:
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raise HTTPException(status_code=500, detail=str(e))
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else:
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return {"status": "OP25 is not running"}
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@router.get("/status")
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async def get_status():
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return {"status": "running" if op25_process else "stopped"}
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@router.post("/generate-config")
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async def generate_config(generator: ConfigGenerator):
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try:
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if generator.type == DecodeMode.P25:
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channels = [ChannelConfig(
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name=generator.systemName,
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trunking_sysname=generator.systemName,
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enable_analog="off",
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demod_type="cqpsk",
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cqpsk_tracking=True,
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filter_type="rc"
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)]
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devices = [DeviceConfig()]
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save_talkgroup_tags(generator.tags)
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save_whitelist(generator.whitelist)
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trunking = TrunkingConfig(
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module="tk_p25.py",
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chans=[TrunkingChannelConfig(
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sysname=generator.systemName,
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control_channel_list=','.join(generator.channels),
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tagsFile="/configs/active.cfg.tags.tsv",
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whitelist="/configs/active.cfg.whitelist.tsv"
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)]
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)
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audio = AudioConfig()
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terminal = TerminalConfig()
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config_dict = {
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"channels": [channel.dict() for channel in channels],
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"devices": [device.dict() for device in devices],
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"trunking": trunking.dict(),
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"audio": audio.dict(),
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"terminal": terminal.dict()
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}
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elif generator.type == DecodeMode.ANALOG:
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generator = generator.config
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channels = [ChannelConfig(
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channelName=generator.systemName,
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enableAnalog="on",
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demodType="fsk4",
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frequency=generator.frequency,
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filterType="widepulse",
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nbfmSquelch=generator.nbfmSquelch
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)]
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devices = [DeviceConfig(gain="LNA:32")]
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config_dict = {
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"channels": [channel.dict() for channel in channels],
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"devices": [device.dict() for device in devices]
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}
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else:
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raise HTTPException(status_code=400, detail="Invalid configuration type. Must be 'p25' or 'nbfm'.")
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with open('/configs/active.cfg.json', 'w') as f:
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json.dump(del_none_in_dict(config_dict), f, indent=2)
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return {"message": "Config exported to '/configs/active.cfg.json'"}
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except Exception as e:
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raise HTTPException(status_code=500, detail=str(e))
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def save_talkgroup_tags(talkgroup_tags: List[TalkgroupTag]) -> None:
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"""
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Writes a list of tags to the tags file.
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Args:
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talkgroup_tags (List[TalkgroupTag]): The list of TalkgroupTag instances.
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"""
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with open("/configs/active.cfg.tags.tsv", 'w', newline='', encoding='utf-8') as file:
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writer = csv.writer(file, delimiter='\t', lineterminator='\n')
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# Write rows
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for tag in talkgroup_tags:
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writer.writerow([tag.talkgroup, tag.tagDec])
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def save_whitelist(talkgroup_tags: List[int]) -> None:
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"""
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Writes a list of talkgroups to the whitelists file.
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Args:
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talkgroup_tags (List[int]): The list of decimals to whitelist.
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"""
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with open("/configs/active.cfg.whitelist.tsv", 'w', newline='', encoding='utf-8') as file:
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writer = csv.writer(file, delimiter='\t', lineterminator='\n')
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# Write rows
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for tag in talkgroup_tags:
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writer.writerow([tag])
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def del_none_in_dict(d):
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"""
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Delete keys with the value ``None`` in a dictionary, recursively.
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This alters the input so you may wish to ``copy`` the dict first.
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"""
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for key, value in list(d.items()):
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LOGGER.info(f"Key: '{key}'\nValue: '{value}'")
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if value is None:
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del d[key]
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elif isinstance(value, dict):
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del_none_in_dict(value)
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elif isinstance(value, list):
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for iterative_value in value:
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del_none_in_dict(iterative_value)
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return d # For convenience
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