261 lines
8.1 KiB
Python
261 lines
8.1 KiB
Python
from json import JSONDecodeError
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from tempfile import TemporaryDirectory, gettempdir
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from typing import Optional, Any
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import pika
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import threading
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import time
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from queue import Queue
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import datetime
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import json
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from uuid import uuid4, UUID
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from xmlrpc.server import SimpleXMLRPCServer
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from xmlrpc.client import ServerProxy
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import logging
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import io
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import zlib
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import os.path
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import requests
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from .reqs_graphql import get_catalog, get_object
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import xml.etree.ElementTree as ET
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from .reqs.request_xml_service import RequestXmlService
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import zipfile
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from .config import Config
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from .zip import Zip
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import boto3
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import query_itv.db as db
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from sqlalchemy.orm import Session
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from fastapi import FastAPI, Response, Form, UploadFile, File, Request
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from fastapi.middleware.cors import CORSMiddleware
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import uvicorn
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from typing_extensions import Annotated
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import pathlib
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from shutil import make_archive
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NEW_DATA_REQUEST = 97
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NEW_DATA_RESPONSE = 1097
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tasks = Queue()
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connected = set()
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connection: Optional[pika.BlockingConnection] = None
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channel_send: Optional[Any] = None
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channel_receive: Optional[Any] = None
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server: Optional[SimpleXMLRPCServer] = None
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logger = logging.getLogger('xmlrpcserver')
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def s3_connection():
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return boto3.client('s3', endpoint_url=Config.s3_endpoint,
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aws_access_key_id=Config.s3_key_id,
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aws_secret_access_key=Config.s3_access_key)
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def download_file(key: str, bucket: str, filename: str):
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client = s3_connection()
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obj = client.get_object(Bucket=bucket, Key=key)
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with open(f"{filename}", 'wb') as f:
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for chunk in obj['Body'].iter_chunks(chunk_size=4096):
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f.write(chunk)
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def upload_file(filename: str, key: str, bucket: str):
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client = s3_connection()
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with open(filename, 'rb') as f:
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client.put_object(Body=f.read(), Bucket=bucket, Key=key)
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def pika_callback(ch, method, properties, body):
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try:
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data = json.loads(body)
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params = data['params']
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url = data['url']
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files = []
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for file in data['files']:
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fn = os.path.join(gettempdir(), uuid4().hex)
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download_file(file['url']['name'], file['url']['bucket'], fn)
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file['url'] = fn
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files.append(file)
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run_task(params['query_type'], params, files, url)
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except JSONDecodeError as e:
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logging.warning(e)
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finally:
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ch.basic_ack(delivery_tag=method.delivery_tag)
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def send_response(params, files, url):
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global channel_send
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files_s3 = []
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for file in files:
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fn = uuid4().hex
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upload_file(file['url'], fn, Config.s3_bucket)
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file['url'] = {'name': fn, 'bucket': Config.s3_bucket}
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files_s3.append(file)
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data = {
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'params': params,
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'files': files_s3,
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'url': url,
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}
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channel_send.basic_publish(exchange=Config.rabbit_out_exchange, body=json.dumps(data), routing_key='')
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def pika_task():
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global connection
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global channel_receive
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channel_receive = connection.channel()
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channel_receive.basic_consume(queue=Config.rabbit_incoming_queue, on_message_callback=pika_callback)
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channel_receive.start_consuming()
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def run_tasks():
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logger.debug('Task thread started.')
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while True:
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task = tasks.get()
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task()
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def put_object(params, files, url):
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date = datetime.datetime.now()
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req = ET.fromstring(params['query_data'])
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obj = req.find('chart')
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class_id = obj.get('Class')
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con = OOConnectionParams(Config.oodb_schema, Config.oodb_host, Config.oodb_port, Config.oodb_dbname,
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Config.oodb_username, Config.oodb_passwd, Config.oodb_schema)
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ws = OODBWorkspace.ws(Config.oodb_schema)
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if not ws.isInit():
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res = ws.init(con)
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logger.warning(res)
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logging.info(class_id)
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fc = ws.featureClass(class_id)
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feature = fc.createFeature('')
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geom = Polygon.fromExtent(Envelope(0.0, 0.0, 1.0, 1.0, SRFactory.PZ9011()))
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res = feature.setGeometry(geom)
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for attr in obj.findall('Attribute'):
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name = attr.get('name')
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value = attr.get('value')
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res &= feature.addAttribute(name, variantFromString(value))
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assert len(files) == 1
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file = files[0]
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dir = TemporaryDirectory()
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with zipfile.ZipFile(file, 'r') as zip_ref:
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zip_ref.extractall(dir.name)
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fp = pathlib.Path(dir.name)
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for item in fp.glob('**/*'):
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if not item.is_file():
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continue
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fileVal = FileValue()
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key = uuid4().hex
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fileVal.fileName = variantToString(item.relative_to(dir.name))
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fileVal.key = variantToString(key)
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fileVal.bucket = variantToString(Config.s3_bucket)
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res &= feature.addAttribute('c1000', variantFromFileValue(fileVal))
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upload_file(str(item), key, Config.s3_bucket)
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ws.transaction()
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res = ws.save()
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ws.commit(f'Putobject from {params["to"]}')
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ws.clearData(True)
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def get_data(params, files, url):
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date = datetime.datetime.now()
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rxmls = RequestXmlService()
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req = ET.fromstring(params['query_data'])
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req_id = rxmls.get_request_uuid(req)
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res_id = uuid4().hex
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res = rxmls.get_request_document(res_id, req_id)
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rxmls.set_result(res, 0, '')
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request_string = req.find('data').text
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OODBWorkspaceFactory.init('/app/query_itv/config/workspaces.json')
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conf = ResponseWorkerConfig('/app/query_itv/config/response2.json', '/app/query_itv/config/workspaces.json')
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worker = ResponseWorker(conf)
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fn = uuid4().hex
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dir = os.path.join(os.getcwd(), 'tmp', fn)
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os.makedirs(dir)
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worker.makeResponse(request_string, dir)
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make_archive(dir, 'zip', dir, '..')
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rxmls.set_result(res, 0, '')
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response_params = {
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'from': params['to'],
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'to': params['from'],
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'ts_added': date.timestamp(),
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'user_id': '1',
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'user_id_to': params['user_id'],
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'query_type': NEW_DATA_RESPONSE,
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'query_data': ET.tostring(res, encoding='unicode', xml_declaration=True)
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}
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filename = fn + '.zip'
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filepath = os.path.join(os.getcwd(), 'tmp', filename)
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response_files = [{'name': filename, 'url': filepath, 'size': os.path.getsize(filepath)}]
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send_response(response_params, response_files, url)
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def receive_data(params, files, url):
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req = ET.fromstring(params['query_data'])
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commit_el = req.find('commit')
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commit_id = commit_el.get('id')
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schema = commit_el.get('schema')
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bnd = params['from'].replace('tcp://', '')
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con = OOConnectionParams(schema, Config.oodb_host, Config.oodb_port, Config.oodb_dbname,
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Config.oodb_username, Config.oodb_passwd, schema)
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ws = OODBWorkspace.ws(schema)
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if not ws.isInit():
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res = ws.init(con)
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logger.warning(res)
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schema_commits = ws.commits(ws.branch())
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logger.warning(schema_commits)
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if commit_id not in schema_commits:
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logger.warning(f'Error in commits in schema {schema}: no commit {commit_id}')
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return
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logger.warning(schema_commits[schema_commits.index(commit_id) + 1:])
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conn = db.connect_db()
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with Session(conn) as session:
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for commit in schema_commits[schema_commits.index(commit_id) + 1:]:
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for user in session.query(db.User).filter(db.User.bndname == bnd, db.User.active == True).all():
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if user.bndname == Config.self_bnd:
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continue
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profiles = {x.scheme: x.to_dict() for x in user.profiles}
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if len(profiles) == 0 or schema in profiles:
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item = db.Queue(user_id=user.id, commit_id=commit, schema=schema)
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logging.warning(item)
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session.add(item)
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session.commit()
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def run_task(query_type, params, files, url):
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if query_type == NEW_DATA_REQUEST:
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get_data(params, files, url)
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if query_type == NEW_DATA_RESPONSE:
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receive_data(params, files, url)
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def main():
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global connection
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global server
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global channel_send
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connection = pika.BlockingConnection(pika.URLParameters(Config.rabbit_conn))
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channel_send = connection.channel()
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logger.setLevel(logging.INFO)
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logger.warning('Use Control-C to exit')
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pika_task()
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def vers_key(e):
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return e.version()
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if __name__ == '__main__':
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main()
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