parent
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#
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# Let us create an image for healthcareio
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# The image will contain the {X12} Parser and the
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# FROM ubuntu:bionic-20200403
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FROM ubuntu:focal
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RUN ["apt-get","update","--fix-missing"]
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RUN ["apt-get","upgrade","-y"]
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RUN ["apt-get","-y","install","apt-utils"]
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RUN ["apt-get","update","--fix-missing"]
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RUN ["apt-get","upgrade","-y"]
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RUN ["apt-get","install","-y","mongodb","sqlite3","sqlite3-pcre","libsqlite3-dev","python3-dev","python3","python3-pip","git","python3-virtualenv","wget"]
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#
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#
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RUN ["pip3","install","--upgrade","pip"]
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RUN ["pip3","install","numpy","pandas","git+https://dev.the-phi.com/git/steve/data-transport","botocore","matplotlib"]
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# RUN ["pip3","install","git+https://healthcare.the-phi.com/git/code/parser.git","botocore"]
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# RUN ["useradd", "-ms", "/bin/bash", "health-user"]
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# USER health-user
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#
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# This volume is where the data will be loaded from (otherwise it is assumed the user will have it in the container somehow)
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#
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VOLUME ["/data","/app/healthcareio"]
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WORKDIR /app
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ENV PYTHONPATH="/app"
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#
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# This is the port from which some degree of monitoring can/will happen
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EXPOSE 80
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EXPOSE 27017
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# wget https://healthcareio.the-phi.com/git/code/parser.git/bootup.sh
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COPY bootup.sh bootup.sh
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ENTRYPOINT ["bash","-C"]
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CMD ["bootup.sh"]
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# VOLUME ["/home/health-user/healthcare-io/","/home-healthuser/.healthcareio"]
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# RUN ["pip3","install","git+https://healthcareio.the-phi.com/git"]
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set -e
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/etc/init.d/mongodb start
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cd /app
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export
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export PYTHONPATH=$PWD
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ls
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# python3 healthcareio/healthcare-io.py --signup $EMAIL --store mongo
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# python3 healthcareio/healthcare-io.py --analytics --port 80 --debug
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bash
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"""
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This file serves as proxy to healthcare-io, it will be embedded into the API
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"""
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import os
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import transport
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import numpy as np
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import x12
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import pandas as pd
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import smart
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from analytics import Apex
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import time
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class get :
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PROCS = []
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PATH = os.sep.join([os.environ['HOME'],'.healthcareio','config.json'])
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@staticmethod
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def resume (files,args):
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"""
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This function will determine the appropriate files to be processed by performing a simple complementary set operation against the logs
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@TODO: Support data-stores other than mongodb
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:param files list of files within a folder
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:param _args configuration
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"""
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_args = args['store'].copy()
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if 'mongo' in _args['type'] :
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_args['type'] = 'mongo.MongoReader'
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reader = transport.factory.instance(**_args)
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_files = []
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try:
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pipeline = [{"$match":{"completed":{"$eq":True}}},{"$group":{"_id":"$name"}},{"$project":{"name":"$_id","_id":0}}]
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_args = {"aggregate":"logs","cursor":{},"allowDiskUse":True,"pipeline":pipeline}
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_files = reader.read(mongo = _args)
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_files = [item['name'] for item in _files]
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except Exception as e :
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pass
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print (["found ",len(files),"\tProcessed ",len(_files)])
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return list(set(files) - set(_files))
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@staticmethod
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def processes(_args):
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_info = pd.DataFrame(smart.top.read(name='healthcare-io.py'))[['name','cpu','mem']]
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if _info.shape[0] == 0 :
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_info = pd.DataFrame({"name":["healthcare-io.py"],"cpu":[0],"mem":[0]})
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# _info = pd.DataFrame(_info.groupby(['name']).sum())
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# _info['name'] = ['healthcare-io.py']
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m = {'cpu':'CPU','mem':'RAM','name':'name'}
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_info.columns = [m[name] for name in _info.columns.tolist()]
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_info.index = np.arange(_info.shape[0])
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charts = []
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for label in ['CPU','RAM'] :
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value = _info[label].sum()
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df = pd.DataFrame({"name":[label],label:[value]})
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charts.append (
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Apex.apply(
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{"data":df, "chart":{"type":"radial","axis":{"x":label,"y":"name"}}}
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)['apex']
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)
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#
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# This will update the counts for the processes, upon subsequent requests so as to show the change
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#
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N = 0
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lprocs = []
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for proc in get.PROCS :
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if proc.is_alive() :
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lprocs.append(proc)
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N = len(lprocs)
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get.PROCS = lprocs
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return {"process":{"chart":charts,"counts":N}}
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@staticmethod
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def files (_args):
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_info = smart.folder.read(path='/data')
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N = _info.files.tolist()[0]
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if 'mongo' in _args['store']['type'] :
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store_args = dict(_args['store'].copy(),**{"type":"mongo.MongoReader"})
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# reader = transport.factory.instance(**_args)
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pipeline = [{"$group":{"_id":"$name","count":{"$sum":{"$cond":[{"$eq":["$completed",True]},1,0]}} }},{"$group":{"_id":None,"count":{"$sum":"$count"}}},{"$project":{"_id":0,"status":"completed","count":1}}]
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query = {"mongo":{"aggregate":"logs","allowDiskUse":True,"cursor":{},"pipeline":pipeline}}
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# _info = pd.DataFrame(reader.read(mongo={"aggregate":"logs","allowDiskUse":True,"cursor":{},"pipeline":pipeline}))
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pipeline = [{"$group":{"_id":"$parse","claims":{"$addToSet":"$name"}}},{"$project":{"_id":0,"type":"$_id","count":{"$size":"$claims"}}}]
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_query = {"mongo":{"aggregate":"logs","cursor":{},"allowDiskUse":True,"pipeline":pipeline}} #-- distribution claims/remits
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else:
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store_args = dict(_args['store'].copy(),**{"type":"disk.SQLiteReader"})
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store_args['args']['table'] = 'logs'
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query= {"sql":"select count(distinct json_extract(data,'$.name')) as count, 'completed' status from logs where json_extract(data,'$.completed') = true"}
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_query={"sql":"select json_extract(data,'$.parse') as type,count(distinct json_extract(data,'$.name')) as count from logs group by type"} #-- distribution claim/remits
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reader = transport.factory.instance(**store_args)
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_info = pd.DataFrame(reader.read(**query))
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if not _info.shape[0] :
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_info = pd.DataFrame({"status":["completed"],"count":[0]})
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_info['count'] = np.round( (_info['count'] * 100 )/N,2)
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charts = [Apex.apply({"data":_info,"chart":{"type":"radial","axis":{"y":"status","x":"count"}}})['apex']]
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#
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# Let us classify the files now i.e claims / remits
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#
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# pipeline = [{"$group":{"_id":"$parse","claims":{"$addToSet":"$name"}}},{"$project":{"_id":0,"type":"$_id","count":{"$size":"$claims"}}}]
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# _args = {"aggregate":"logs","cursor":{},"allowDiskUse":True,"pipeline":pipeline}
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# r = pd.DataFrame(reader.read(mongo=_args))
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r = pd.DataFrame(reader.read(**_query)) #-- distribution claims/remits
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r = Apex.apply({"chart":{"type":"donut","axis":{"x":"count","y":"type"}},"data":r})['apex']
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r['chart']['height'] = '100%'
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r['legend']['position'] = 'bottom'
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charts += [r]
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return {"files":{"counts":N,"chart":charts}}
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pass
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#
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# Process handling ....
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def run (_args) :
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"""
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This function will run the jobs and insure as processes (as daemons).
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:param _args system configuration
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"""
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FILES = []
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BATCH = int(_args['args']['batch']) #-- number of processes (poorly named variable)
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for root,_dir,f in os.walk(_args['args']['folder']) :
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if f :
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FILES += [os.sep.join([root,name]) for name in f]
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FILES = get.resume(FILES,_args)
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FILES = np.array_split(FILES,BATCH)
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for FILE_GROUP in FILES :
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FILE_GROUP = FILE_GROUP.tolist()
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# logger.write({"process":index,"parse":_args['parse'],"file_count":len(row)})
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# proc = Process(target=apply,args=(row,info['store'],_info,))
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parser = x12.Parser(get.PATH) #os.sep.join([PATH,'config.json']))
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parser.set.files(FILE_GROUP)
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parser.daemon = True
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parser.start()
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get.PROCS.append(parser)
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time.sleep(3)
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#
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# @TODO:consider submitting an update to clients via publish/subscribe framework
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#
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return get.PROCS
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def stop(_args):
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for job in get.PROCS :
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if job.is_alive() :
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job.terminate()
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get.PROCS = []
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#
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# @TODO: consider submitting an update to clients via publish/subscribe framework
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pass
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def write(src_args,dest_args,files) :
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#
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# @TODO: Support for SQLite
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pass
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def publish (src_args,dest_args,folder="/data"):
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FILES = []
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for root,_dir,f in os.walk(folder) :
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if f :
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FILES += [os.sep.join([root,name]) for name in f]
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#
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# @TODO: Add support for SQLite ....
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FILES = np.array_split(FILES,4)
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/***
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* This file will handle the dialog boxes as they and their associated configurations and function binding
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*/
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if (!dialog){
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var dialog = {}
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}
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dialog.open = function(title,msg,pointer){
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if (sessionStorage.dialog == null){
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var http = HttpClient.instance()
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http.get(sessionStorage.io_context+'/static/dialog.html',function(x){
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var html = x.responseText
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jx.modal.show({html:html,id:'dialog'})
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$('.dialog .title').text(title)
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$('.dialog .message .text').text(msg)
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dialog.status.ask()
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$('.dialog .action .active-button').on('click',pointer)
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$('.dialog .title-bar .close').on('click',function(){dialog.close(0)})
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})
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}else{
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var html = sessionStorage.dialog
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jx.modal.show({html:html,id:'dialog'})
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dialog.status.ask()
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$('.dialog .action .active-button').on('click',pointer)
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$('.dialog .title-bar .close').on('click',function(){dialog.close(0)})
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}
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}
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dialog.bind = function(pointer){
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if (pointer == null){
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pointer = dialog.close
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}
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$('.dialog .action .active-button').off()
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$('.dialog .action .active-button').on('click',pointer)
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}
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dialog.close = function(delay){
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delay = (delay == null)?1750:delay
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setTimeout(function(){
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if ( $('.dialog').length > 0){
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jx.modal.close()
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}
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},delay)
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}
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dialog.status = {}
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dialog.status.wait = function(){
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$('.dialog .action .active-button').hide()
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}
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dialog.status.confirm = function(){
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$('.dialog .action .active-button').show()
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}
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dialog.status.busy = function(){
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$('.dialog .message #msg-icon').removeClass()
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$('.dialog .message #msg-icon').addClass('fas fa-cog fa-4x fa-spin')
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}
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dialog.status.fail = function(){
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$('.dialog .message #msg-icon').removeClass()
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$('.dialog .message #msg-icon').addClass('fas fa-times fa-4x')
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}
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dialog.status.ask = function(){
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$('.dialog .message #msg-icon').removeClass()
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$('.dialog .message #msg-icon').addClass('far fa-question-circle fa-4x')
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}
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dialog.status.warn = function(){
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$('.dialog .message #msg-icon').removeClass()
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$('.dialog .message #msg-icon').addClass('fas fa-exclamation-triangle fa-4x')
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}
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dialog.status.success = function(){
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$('.dialog .message #msg-icon').removeClass()
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$('.dialog .message #msg-icon').addClass('fas fa-check fa-4x')
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}
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if (!healthcare) {
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var healthcare = {io:{}}
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}
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healthcare.io = {'dialog':dialog,'confirmed':confirmed,'reset':reset,'update':update,'run':run,'publish':publish}
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healthcare.io.apply = function(){
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var value = $('.input-form .item .procs').val()
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var folder= $('.input-form .item .folder').val()
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$('.code .batch').html(value)
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var http = HttpClient.instance()
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http.setData({"batch":value,"resume":true,"folder":folder},"application/json")
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http.post(sessionStorage.io_context+'/io/params',function(x){})
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}
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/**
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* This file will depend on dialog.js (soft dependency). Some functions here will make calls to resources in dialog.js
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*/
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var reset = function(){
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dialog.open('Healthcare/IO::Parser', 'Are you sure you would like to delete all data parsed? Click Ok to confirm',confirmed.reset)
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}
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var update= function(){
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dialog.open('Healthcare/IO::Parser','Update will change parsing configuration. Would you like to continue ?',confirmed.update)
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}
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var run = function(){
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dialog.open('Healthcare/IO::Parser','Preparing parser, confirm to continue',confirmed.run)
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}
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var _queue = {socket:null}
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var confirmed = {}
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confirmed.run = function(){
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dialog.status.busy()
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dialog.status.wait()
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$('.dialog .message .text').html('Initiating Parsing ...')
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setTimeout(function(){
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var http = HttpClient.instance()
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http.post(sessionStorage.io_context+'/io/run',function(x){
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// dialog.handler = setInterval(function(){monitor.data()},750)
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monitor.data()
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//dialog.close()
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})
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},1000)
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}
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confirmed.reset = function(){
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var uri = sessionStorage.io_context+'/reset'
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var http= HttpClient.instance()
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dialog.status.busy()
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dialog.status.wait()
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http.post(uri,function(x){
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setTimeout(function(){
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if (x.status == 200 && x.responseText == "1"){
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dialog.status.success()
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$('.dialog .message .text').html('Reset Healthcare/IO::Parser was successful!<br><div align="center">Dialog will be closing</div>')
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dialog.close()
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}else{
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dialog.status.fail()
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}
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},2000)
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})
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}
|
||||||
|
|
||||||
|
confirmed.update = function(){
|
||||||
|
var uri = sessionStorage.io_context+'/update'
|
||||||
|
var email = $('#email').val()
|
||||||
|
//
|
||||||
|
//-- validate the email
|
||||||
|
if (email.match(/^([^\s]+)@([^\s@]+)\.(org|com|edu|io)$/i)){
|
||||||
|
dialog.status.wait()
|
||||||
|
dialog.status.busy()
|
||||||
|
var http = HttpClient.instance()
|
||||||
|
http.setData({"email":email},"application/son")
|
||||||
|
setTimeout(function(){
|
||||||
|
http.post(uri,function(x){
|
||||||
|
if(x.status == 200 && x.responseText == "1"){
|
||||||
|
dialog.status.success()
|
||||||
|
}else{
|
||||||
|
|
||||||
|
dialog.status.fail()
|
||||||
|
$('.dialog .message .text').html('Error code '+x.status)
|
||||||
|
dialog.bind()
|
||||||
|
dialog.status.confirm()
|
||||||
|
$('.dialog .title-bar .title').html("Error found")
|
||||||
|
|
||||||
|
}
|
||||||
|
})
|
||||||
|
|
||||||
|
},1000)
|
||||||
|
}else{
|
||||||
|
dialog.status.fail()
|
||||||
|
dialog.bind()
|
||||||
|
$('.dialog .title-bar .title').text("Error found")
|
||||||
|
$('.dialog .message .text').html('Invvalid Email entered')
|
||||||
|
dialog.status.confirm()
|
||||||
|
}
|
||||||
|
|
||||||
|
}
|
||||||
|
|
||||||
|
/**
|
||||||
|
* This namespace is designed to export data to either the cloud or to a database
|
||||||
|
*/
|
||||||
|
var publish={set:{}}
|
||||||
|
publish.post = function(){
|
||||||
|
|
||||||
|
if($('.jxmodal').length > 0){
|
||||||
|
jx.modal.close()
|
||||||
|
}
|
||||||
|
dialog.open('Export/ETL','Please wait')
|
||||||
|
dialog.status.busy()
|
||||||
|
|
||||||
|
var http = HttpClient.instance()
|
||||||
|
http.setData(JSON.parse(sessionStorage.export),"application/json")
|
||||||
|
http.post(sessionStorage.io_context+'/export',function(x){
|
||||||
|
if (x.status != 200){
|
||||||
|
setTimeout(function(){
|
||||||
|
$('.dialog .message .text').html('An error occurred with code '+x.status)
|
||||||
|
dialog.status.fail()
|
||||||
|
dialog.status.wait()
|
||||||
|
|
||||||
|
},1500)
|
||||||
|
|
||||||
|
}
|
||||||
|
//
|
||||||
|
// @TODO: Have progress be monitored for this bad boy i.e open the connection to socket and read in ...
|
||||||
|
//
|
||||||
|
})
|
||||||
|
|
||||||
|
}
|
||||||
|
publish.set.file = function(){
|
||||||
|
var file = $('#file')[0].files[0]
|
||||||
|
$('.file .name').html(file.name)
|
||||||
|
var button = $('.cloud input').prop('disabled',true)
|
||||||
|
var div = $('.cloud .file .fa-file-upload')[0]
|
||||||
|
$(div).empty()
|
||||||
|
$(div).addClass('fas fa-cog fa-spin')
|
||||||
|
var reader = new FileReader()
|
||||||
|
reader.readAsText(file)
|
||||||
|
|
||||||
|
|
||||||
|
reader.onload = function(){
|
||||||
|
_args = {"type":$('.cloud .id').html().trim(),"content":reader.result}
|
||||||
|
// _args = JSON.stringify(_args)
|
||||||
|
if (_args.content.match(/^\{.+/i) == null){
|
||||||
|
content = _args.content.split('\n')[1].split(',')
|
||||||
|
_args.content = {'bucket':'healthcareio','access_key':content[0].trim(),'secret_key':content[1].trim()}
|
||||||
|
}
|
||||||
|
sessionStorage.export = JSON.stringify(_args)
|
||||||
|
}
|
||||||
|
|
||||||
|
reader.onloadend = function(){
|
||||||
|
setTimeout(function(){
|
||||||
|
var div = $('.cloud .file .fa-cog')[0]
|
||||||
|
$(div).empty()
|
||||||
|
$(div).addClass('fas fa-check')
|
||||||
|
$(div).removeClass('fa-spin')
|
||||||
|
// jx.modal.close()
|
||||||
|
|
||||||
|
//setTimeout(jx.modal.close,1500)
|
||||||
|
publish.post()
|
||||||
|
},2000)
|
||||||
|
}
|
||||||
|
}
|
||||||
|
publish.database = {}
|
||||||
|
|
||||||
|
publish.database.init = function(id){
|
||||||
|
//
|
||||||
|
// we are expecting id in {mongo,couch,postgresql,mysql,sqlite}
|
||||||
|
// @TODO: Account for cloud service brokers like dropbox, box, one-drive and google-drive
|
||||||
|
sessionStorage.export = "{}"
|
||||||
|
p = {'id':id}
|
||||||
|
if (id.match(/(mongodb|postgresql|mysql|sqlite|couchdb)/i)){
|
||||||
|
var hide_id = '.store .cloud'
|
||||||
|
var show_id = '.store .database'
|
||||||
|
}else{
|
||||||
|
//
|
||||||
|
// @TODO: generate an error message
|
||||||
|
var show_id = '.store .cloud'
|
||||||
|
var hide_id = '.store .database'
|
||||||
|
|
||||||
|
}
|
||||||
|
var http = HttpClient.instance()
|
||||||
|
http.get(sessionStorage.io_context+'/export',function(x){
|
||||||
|
var html = x.responseText
|
||||||
|
jx.modal.show({'html':html,'id':'dialog'})
|
||||||
|
$(hide_id).hide(function(){
|
||||||
|
$(show_id).show()
|
||||||
|
})
|
||||||
|
|
||||||
|
$('.store .id').text(id)
|
||||||
|
})
|
||||||
|
|
||||||
|
}
|
||||||
Loading…
Reference in new issue