bug fix: export import bug
This commit is contained in:
Steve Nyemba
parent
995ea21320
commit
ddddb897d0
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@ -192,10 +192,15 @@ class Apex :
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@staticmethod
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def scalar(item):
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_df = item['data']
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name = _df.columns.tolist()[0]
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value = _df[name].values.round(2)[0]
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value = '0'
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unit = ''
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html = '<div class="scalar"><div class="value">:value</div><div class="label">:label</div></div>'
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if _df.shape[0] > 0 :
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print (_df)
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print ('_____________________________________')
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name = _df.columns.tolist()[0]
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value = _df[name].values[0]
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if value > 999 and value < 1000000 :
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value = " ".join([str(np.divide(value,1000).round(2)),"K"])
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elif value > 999999 :
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@ -319,8 +324,9 @@ class Apex :
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values = df[x_cols].values.round(2).tolist()
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else:
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labels = [name.upper().replace('_',' ') for name in df.columns.tolist()]
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df = df.astype(float)
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values = df.values.round(2).tolist()[0] if df.shape[1] > 1 else df.values.round(2).tolist()
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# df = df.astype(float)
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# values = df.values.round(2).tolist()[0] if df.shape[1] > 1 else df.values.round(2).tolist()
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values = df[[name for name in df.columns if df[name].dtype in [float,int]] ].values.round(2).tolist()
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colors = COLORS[:len(values)]
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options = {"series":values,"colors":colors,"labels":labels,"dataLabels":{"enabled":True,"style":{"colors":["#000000"]},"dropShadow":{"enabled":False}},"chart":{"type":"donut","width":200},"plotOptions":{"pie":{"customScale":.9}},"legend":{"position":"right"}}
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@ -343,10 +349,10 @@ class engine :
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self.store_config = _config['store']
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self.info = _config['analytics']
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_args = self.store_config
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if self.store_config['type'] == 'mongo.MongoWriter' :
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_args['type'] = 'mongo.MongoReader'
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else:
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_args['type'] = 'disk.SQLiteReader'
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if 'type' not in self.store_config :
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#
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# This is the newer version of data-transport
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self.store_config['context'] = 'read'
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self.store_config = _args ;
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def filter (self,**args):
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@ -367,8 +373,8 @@ class engine :
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# conn = lite.connect(self.store_config['args']['path'],isolation_level=None)
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# conn.create_aggregate("stdev",1,stdev)
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DB_TYPE = 'mongo' if (type(self.reader) == transport.mongo.MongoReader) else 'sql'
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if DB_TYPE == 'mongo' :
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self.store_config['args']['doc'] = args['type']
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# if DB_TYPE == 'mongo' :
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# self.store_config['args']['doc'] = args['type']
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self.reader = transport.factory.instance(**self.store_config)
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r = []
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@ -414,20 +420,8 @@ class engine :
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_analytics = [_analytics[index]]
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_info = list(_analytics) if 'filter' not in args else [item for item in analytics if args['filter'] == item['id']]
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# conn = lite.connect(self.store_config['args']['path'],isolation_level=None)
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# conn.create_aggregate("stdev",1,stdev)
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#
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# @TODO: Find a better way to handle database variance
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#
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# DB_TYPE = 'mongo' if (type(self.reader) == transport.mongo.MongoReader) else 'sql'
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if 'mongo' in self.store_config['type'] :
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DB_TYPE='mongo'
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else:
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DB_TYPE='sql'
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self.store_config['args']['table'] = args['type']
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self.reader = transport.factory.instance(**self.store_config)
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DB_TYPE = 'mongo' if self.store_config ['provider'] in ['mongodb','mongo'] else 'sql'
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r = []
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for row in _info :
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pipeline = row['pipeline']
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@ -440,14 +434,22 @@ class engine :
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continue
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if DB_TYPE == 'sql' :
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query = {"sql":query}
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else:
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query = {DB_TYPE:query}
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item['data'] = self.reader.read(**query) #item)
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_df = self.reader.read(**query) #item)
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print (query)
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print (self.reader)
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if 'serialize' in args :
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# item['data'] = json.dumps(item['data'].to_dict(orient='record')) if type(item['data']) == pd.DataFrame else item['data']
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item['data'] = json.dumps(item['data'].to_dict('record')) if type(item['data']) == pd.DataFrame else item['data']
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item['data'] = json.dumps(_df.to_dict(orient='record'))
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else:
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item['data'] = (pd.DataFrame(item['data']))
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# item['data'] = (pd.DataFrame(item['data']))
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item['data'] = _df
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pass
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print (_df.head())
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break
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pipeline[index] = item
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index += 1
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#
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@ -225,6 +225,7 @@ if __name__ == '__main__' :
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PATH= SYS_ARGS['config'] if 'config' in SYS_ARGS else os.sep.join([os.environ['HOME'],'.healthcareio','config.json'])
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#
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# Adjusting configuration with parameters (batch,folder,resume)
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SYS_ARGS['config'] = json.loads(open(PATH).read())
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if 'args' not in SYS_ARGS['config'] :
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SYS_ARGS['config']["args"] = {"batch":1,"resume":True,"folder":"/data"}
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@ -6,15 +6,16 @@ import json
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app = Flask(__name__)
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@app.route("/favicon.ico")
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def _icon():
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return send_from_directory(os.path.join([app.root_path, 'static','img','logo.svg']),
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return send_from_directory(os.path.join([app.root_path, 'static/img/logo.svg']),
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'favicon.ico', mimetype='image/vnd.microsoft.icon')
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@app.route("/")
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def init():
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e = SYS_ARGS['engine']
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sections = {"remits":e.info['835'],"claims":e.info['837']}
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_args = {"sections":sections,"store":SYS_ARGS['config']['store']}
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print (SYS_ARGS['config']['store'])
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return render_template("setup.html",**_args)
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_args = {"sections":sections,"store":SYS_ARGS['config']['store'],'args':{'batch':5}}
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return render_template("index.html",**_args)
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@app.route("/format/<id>/<index>",methods=['POST'])
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def _format(id,index):
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@ -73,13 +74,16 @@ def reload():
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if __name__ == '__main__' :
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PORT = int(SYS_ARGS['port']) if 'port' in SYS_ARGS else 5500
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DEBUG= int(SYS_ARGS['debug']) if 'debug' in SYS_ARGS else 0
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DEBUG= int(SYS_ARGS['debug']) if 'debug' in SYS_ARGS else 1
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SYS_ARGS['context'] = SYS_ARGS['context'] if 'context' in SYS_ARGS else ''
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#
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#
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PATH= SYS_ARGS['config'] if 'config' in SYS_ARGS else os.sep.join([os.environ['HOME'],'.healthcareio','config.json'])
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#
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if os.path.exists(PATH) :
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SYS_ARGS['config'] = json.loads(open(PATH).read())
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e = healthcareio.analytics.engine(PATH)
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# e.apply(type='claims',serialize=True)
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SYS_ARGS['engine'] = e
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app.run(host='0.0.0.0',port=PORT,debug=DEBUG,threaded=True)
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@ -37,14 +37,17 @@ class get :
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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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APP_NAME ='healthcare-io'
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_info = smart.top.read(name=APP_NAME) #pd.DataFrame(smart.top.read(name='healthcare-io'))[['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({"name":[APP_NAME],"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 = _info.rename(columns=m)
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# _info.columns = [m[name] for name in _info.columns.tolist() if name in m]
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_info.index = np.arange(_info.shape[0])
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charts = []
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@ -56,23 +59,20 @@ class get :
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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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return {"process":{"chart":charts,"counts":_info.shape[0]}}
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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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folder = _args['args']['folder']
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_info = smart.folder.read(path=folder)
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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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store_args = _args['store'].copy()
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store_args['context'] = 'read'
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# if 'mongo' in _args['store']['type'] :
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if _args['store']['provider'] in ['mongo', 'mongodb']:
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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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@ -83,12 +83,15 @@ class get :
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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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# store_args = dict(_args['store'].copy(),**{"type":"disk.SQLiteReader"})
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# store_args['args']['table'] = 'logs'
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store_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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@ -97,11 +100,6 @@ class get :
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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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@ -63,10 +63,10 @@
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//
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// We should insure the listeners are enabled
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if(monitor.listen.handler == null){
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monitor.listen.handler = setInterval(
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/*monitor.listen.handler = setInterval(
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function(){
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console.log('running ...')
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monitor.data()},5000)
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monitor.data()},5000)*/
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}
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}else{
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@ -24,6 +24,7 @@ import sys
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from itertools import islice
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from multiprocessing import Process
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import transport
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from transport import providers
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import jsonmerge
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import copy
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@ -236,6 +237,53 @@ class Parser (Process):
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_config[_id] = [_config[_id]]
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config['parser'] = _config
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return config
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@staticmethod
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def init(**_args):
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"""
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This function allows to initialize the database that will store the claims if need be
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:path configuration file
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"""
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PATH = os.sep.join([os.environ['HOME'],'.healthcareio'])
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filename = os.sep.join([PATH,'config.json'])
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filename = _args['path'] if 'path' in _args else filename
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info = None
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if os.path.exists(filename):
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#
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# Loading the configuration file (JSON format)
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file = open(filename)
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info = json.loads(file.read())
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OUTPUT_FOLDER = info['out-folder']
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if 'output-folder' not in info and not os.path.exists(OUTPUT_FOLDER) :
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os.mkdir(OUTPUT_FOLDER)
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elif 'output-folder' in info and not os.path.exists(info['out-folder']) :
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os.mkdir(info['out-folder'])
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# if 'type' in info['store'] :
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lwriter = None
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IS_SQL = False
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if'type' in info['store'] and info['store']['type'] == 'disk.SQLiteWriter' :
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lwriter = transport.factory.instance(**info['store'])
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IS_SQL = True
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elif 'provider' in info['store'] and info['store']['provider'] == 'sqlite' :
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lwriter = transport.instance(**info['store']) ;
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IS_SQL = [providers.SQLITE,providers.POSTGRESQL,providers.NETEZZA,providers.MYSQL,providers.MARIADB]
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if lwriter and IS_SQL:
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for key in info['schema'] :
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if key != 'logs' :
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_id = 'claims' if key == '837' else 'remits'
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else:
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_id = key
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if not lwriter.has(table=_id) :
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lwriter.apply(info['schema'][key]['create'])
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# [lwriter.apply( info['schema'][key]['create']) for key in info['schema'] if not lwriter.has(table=key)]
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lwriter.close()
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return info
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def __init__(self,path):
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"""
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