bug fixes with parser

healthcareio/analytics.py

@@ -11,7 +11,7 @@ import transport
 import matplotlib.pyplot as plt
 import re, base64
 # from weasyprint import HTML, CSS
-COLORS = ["#f79256","#7dcfb6","#fbd1a2","#00b2ca","#1d4e89","#4682B4","#c5c3c6","#4c5c68","#1985a1","#f72585","#7209b7","#3a0ca3","#4361ee","#4cc9f0","#ff595e","#ffca3a","#8ac926","#1982c4","#6a4c93"]
+COLORS = ["#fbd1a2","#00b2ca","#1d4e89","#4682B4","#c5c3c6","#4c5c68","#1985a1","#f72585","#7209b7","#3a0ca3","#4361ee","#4cc9f0","#ff595e","#ffca3a","#8ac926","#1982c4","#6a4c93"]
 class stdev :
     def __init__(self) :
         self.values = []
@@ -149,11 +149,16 @@ class Apex :
     This class will format a data-frame to work with Apex charting engine
     """
     @staticmethod
-    def apply(item):
+    def apply(item,theme={'mode':'light','palette':'palette6'}):
         pointer = item['chart']['type']
         if hasattr(Apex,pointer) :
             pointer = getattr(Apex,pointer)
+            
             options = pointer(item)
+            if 'apex' in options and 'colors' in options['apex'] :
+                del options['apex']['colors']
+            if 'apex' in options :    
+                options['apex']['theme'] = theme
             options['responsive']= [
                 {
                 'breakpoint': 1,
@@ -168,6 +173,18 @@ class Apex :
             print ("Oops")
         pass
     @staticmethod
+    def radial(item):
+        df = item['data']
+        x = item['chart']['axis']['x']
+        y  = item['chart']['axis']['y']
+        
+        labels = df[y].tolist()
+        values = [float(np.round(value,2)) for value in df[x].tolist()]
+        chart = {"type":"radialBar","height":200}
+        option = {"chart":chart,"series":values,"labels":labels,"plotOptions":{"radialBar":{"hollow":{"size":"70%"}}}}
+        return {'apex':option}
+
+    @staticmethod
     def scatter(item):
         options = Apex.spline(item)
         options['apex']['chart']['type'] = 'scatter'
@@ -175,7 +192,7 @@ class Apex :
     @staticmethod
     def scalar(item):
         _df = item['data']
-        print (_df)
+        
         name = _df.columns.tolist()[0]
         value = _df[name].values.round(2)[0]
         html = '<div class="scalar"><div class="value">:value</div><div class="label">:label</div></div>'
@@ -235,16 +252,17 @@ class Apex :
         @TODO: alias this with bar (!= column)
         """
         df = item['data']
+        
         N = df.shape[0] if df.shape[0] < 10 else 10
         axis = item['chart']['axis']
         y = axis['y']
         if type(y) == list :
             y = y[0]
         axis['x'] = [axis['x']] if type(axis['x']) != list else axis['x']
-        if not set(axis['x']) & set(df.columns.tolist()) :
+        # if not set(axis['x']) & set(df.columns.tolist()) :
-            print (set(axis['x']) & set(df.columns.tolist()))
+            # print (set(axis['x']) & set(df.columns.tolist()))
-            print (axis['x'])
+            # print (axis['x'])
-            print (df.columns)
+            # print (df.columns)
             # df.columns = axis['x']
         series = []
         _min=_max = 0
@@ -294,7 +312,6 @@ class Apex :
         values are x-axis
         """
         df = item['data']
-        
         if df.shape [0]> 1 :
             y_cols,x_cols = item['chart']['axis']['y'],item['chart']['axis']['x']
             labels = df[y_cols].values.tolist()
@@ -302,10 +319,11 @@ class Apex :
             values = df[x_cols].values.round(2).tolist()
         else:
             labels = [name.upper().replace('_',' ') for name in df.columns.tolist()]
+            df = df.astype(float)
             values = df.values.round(2).tolist()[0] if df.shape[1] > 1 else df.values.round(2).tolist()
             
         colors  = COLORS[:len(values)]
-        options = {"series":values,"colors":colors,"labels":labels,"chart":{"type":"donut"},"plotOptions":{"pie":{"customScale":.8}},"legend":{"position":"right"}}
+        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"}}
         return {"apex":options}
 
         pass
@@ -329,43 +347,117 @@ class engine :
             _args['type'] = 'mongo.MongoReader'
         else:
             _args['type'] = 'disk.SQLiteReader'
-        self.reader = transport.factory.instance(**_args)
+        self.store_config = _args ;
     
-    def apply (self,**args) :
+    def filter (self,**args):
         """
             type: claims or remits
             filter  optional identifier claims, procedures, taxonomy, ...
         """
+        
+        
         _m = {'claim':'837','claims':'837','remits':'835','remit':'835'}
-        # key = '837' if args['type'] == 'claims' else '835'
         table = _m[ args['type']]
-        analytics = self.info[table]
+        _analytics = self.info[table]
         if 'index' in args :
             index = int(args['index'])
-            analytics = [analytics[index]]
+            _analytics = [_analytics[index]]
             
-        _info = list(analytics) if 'filter' not in args else [item for item in analytics if args['filter'] == item['id']]
+        _info = list(_analytics) #if 'filter' not in args else [item for item in analytics if args['filter'] == item['id']]
         # conn = lite.connect(self.store_config['args']['path'],isolation_level=None)
         # conn.create_aggregate("stdev",1,stdev)
         DB_TYPE = 'mongo' if (type(self.reader) == transport.mongo.MongoReader) else 'sql'
+        if DB_TYPE == 'mongo' :
+            self.store_config['args']['doc'] = args['type']
+        
+        self.reader = transport.factory.instance(**self.store_config)
         r = []
         for row in _info :
+            pipeline = row['pipeline']
             
-            for item in row['pipeline'] :
+            index = 0
-                # item['data'] = pd.read_sql(item['sql'],conn)
+            for item in pipeline:
+                if not item[DB_TYPE] :
+                    continue
                 query = {DB_TYPE:item[DB_TYPE]}
-                item['data'] = self.reader.read(**item)
+                
+                df = pd.DataFrame(self.reader.read(**query)) #item)
+                df = df.fillna('N/A')
+                # item['data'] = df
+                chart = item['chart']
+                pipe = {"data":df,"chart":chart}
+                for key in list(item.keys()) :
+                    if key not in ["chart","data","mongo","sql","couch"] :
+                        pipe[key] = item[key]
+                
+                
+                
+
+                r.append(pipe)
+        self.reader.close()
+        return {"id":_info[0]['id'],'pipeline':r}
+    
+    def apply (self,**args) :
+        """
+            type: claims or remits
+            filter  optional identifier claims, procedures, taxonomy, ...
+        """
+        
+        
+        _m = {'claim':'837','claims':'837','remits':'835','remit':'835'}
+        # key = '837' if args['type'] == 'claims' else '835'
+        table = _m[ args['type']]
+        
+        _analytics = self.info[table]
+        if 'index' in args :
+            index = int(args['index'])
+            _analytics = [_analytics[index]]
+            
+        _info = list(_analytics) if 'filter' not in args else [item for item in analytics if args['filter'] == item['id']]
+        # conn = lite.connect(self.store_config['args']['path'],isolation_level=None)
+        # conn.create_aggregate("stdev",1,stdev)
+        #
+        # @TODO: Find a better way to handle database variance
+        #
+        # DB_TYPE = 'mongo' if (type(self.reader) == transport.mongo.MongoReader) else 'sql'
+        
+        if 'mongo' in self.store_config['type'] :
+            DB_TYPE='mongo'
+        else:
+            DB_TYPE='sql'
+            self.store_config['args']['table'] = args['type']
+        
+        self.reader = transport.factory.instance(**self.store_config)
+        r = []
+        for row in _info :
+            pipeline = row['pipeline']
+            index = 0
+            for item in pipeline:
+                # item['data'] = pd.read_sql(item['sql'],conn)
+                # query = {DB_TYPE:item[DB_TYPE]}
+                query = item[DB_TYPE]
+                if not query :
+                    continue
+                if DB_TYPE == 'sql' :
+                    query = {"sql":query}
+                
+                item['data'] = self.reader.read(**query) #item)
                 if 'serialize' in args :
                     
-                    item['data'] = json.dumps(item['data'].to_dict(orient='record')) if type(item['data']) == pd.DataFrame else item['data']
+                    # item['data'] = json.dumps(item['data'].to_dict(orient='record')) if type(item['data']) == pd.DataFrame else item['data']
+                    item['data'] = json.dumps(item['data'].to_dict('record')) if type(item['data']) == pd.DataFrame else item['data']
                 else:
                     item['data'] = (pd.DataFrame(item['data']))
-                    
+                pipeline[index] = item
+                index += 1
+            #
+            #
+            row['pipeline']= pipeline
                     
                 # if 'info' in item:
                 #     item['info'] = item['info'].replace(":rows",str(item["data"].shape[0]))
         # conn.close()
-        
+        self.reader.close()
         return _info
 
     def _html(self,item) :

healthcareio/healthcare-io.py

@@ -43,6 +43,8 @@ import numpy as np
 from multiprocessing import Process
 import time
 from healthcareio import x12
+import smart
+import pandas as pd
 
 PATH = os.sep.join([os.environ['HOME'],'.healthcareio'])
 OUTPUT_FOLDER = os.sep.join([os.environ['HOME'],'healthcare-io'])
@@ -337,9 +339,19 @@ if __name__ == '__main__' :
         
         # PATH= SYS_ARGS['config'] if 'config' in SYS_ARGS else os.sep.join([os.environ['HOME'],'.healthcareio','config.json'])
         
+        if os.path.exists(os.sep.join([PATH,'config.json'])) :
             e = analytics.engine(os.sep.join([PATH,'config.json'])) #--@TODO: make the configuration file globally accessible
             e.apply(type='claims',serialize=True)
             SYS_ARGS['engine'] = e
+            SYS_ARGS['config'] = json.loads(open(os.sep.join([PATH,'config.json'])).read())
+        else:
+            SYS_ARGS['config'] = {"owner":None,"store":None}
+
+        if 'args' not in SYS_ARGS['config'] :
+            SYS_ARGS['config']["args"] = {"batch":1,"resume":True,"folder":"/data"}
+        
+        me = pd.DataFrame(smart.top.read(name='healthcare-io.py')).args.unique().tolist()        
+        SYS_ARGS['me'] = me[0] #-- This key will identify the current process
 
         pointer = lambda : server.app.run(host='0.0.0.0',port=PORT,debug=DEBUG,threaded=False)
         pthread = Process(target=pointer,args=())

healthcareio/x12/__init__.py

@@ -49,8 +49,9 @@ class Formatters :
         """
         This function is designed to split an x12 row and 
         """
-        if row.startswith(prefix) is False:
         value = []
+        if row.startswith(prefix) is False:
+            
             
             for row_value in row.replace('~','').split(sep) :
                 
@@ -65,10 +66,12 @@ class Formatters :
                 else :
                     
                     value.append(row_value.replace('\n',''))
-            return [xchar.replace('\r','') for xchar in value] #row.replace('~','').split(sep)
+            value =  [xchar.replace('\r','') for xchar in value] #row.replace('~','').split(sep)
         else:
             
-            return [ [prefix]+ self.split(item,'>') for item in row.replace('~','').split(sep)[1:] ]
+            value =  [ [prefix]+ self.split(item,'>') for item in row.replace('~','').split(sep)[1:] ]
+
+        return value if type(value) == list and type(value[0]) != list else value[0]
     def get_config(self,config,row):
         """
         This function will return the meaningfull parts of the configuration for a given item
@@ -191,6 +194,9 @@ class Parser (Process):
         self.files = []
         self.set = void()
         self.set.files = self.set_files
+        self.emit = void()
+        self.emit.pre =  None
+        self.emit.post = None
     def set_files(self,files):
         self.files = files
     def get_map(self,row,config,version=None):
@@ -433,6 +439,9 @@ class Parser (Process):
         # self.finish(claims,logs,_code)
         return claims,logs,_code    
     def run(self):
+        if self.emit.pre :
+            self.emit.pre()
+
         for filename in self.files :
             content,logs,_code = self.read(filename)
             self.finish(content,logs,_code)
@@ -442,14 +451,22 @@ class Parser (Process):
         if args['type'] == 'mongo.MongoWriter' :
             args['args']['doc'] = 'claims' if _code == '837' else 'remits'
             _args['args']['doc'] = 'logs'
+        else:
+            args['args']['table'] = 'claims' if _code == '837' else 'remits'
+            _args['args']['table'] = 'logs'
+
         if content      :
             writer = transport.factory.instance(**args)
             writer.write(content)
             writer.close()
         if logs :
+            
             logger = transport.factory.instance(**_args)
             logger.write(logs)
+            
             logger.close()
+        if self.emit.post :
+            self.emit.post(content,logs)