def test_aurora_syntax(json_string): try: #Create JSON Object json_object=json.loads(json_string) #Go Through JSON Object for ii in range(0,len(json_object)): #Test Predicted Date predicated_date=json_object[ii]["predicted_time"] predicted_date_test=date_util.valid_date(predicated_date,-1) if(predicted_date_test[0]==False): return predicted_date_test #Test Download Date download_date=json_object[ii]["download_time"] download_date_test=date_util.valid_date(download_date,-1) if(download_date_test[0]==False): return download_date_test #Test Kp kp_test=kp_util.valid_kp(json_object[ii]["kp"],-1) if(kp_test[0]==False): return kp_test #Test Forecast forecast=json_object[ii]["forecast"] if(forecast!="now" and forecast!="h1" and forecast!="d3" and forecast!="d28"): return (False,"Invalid forecast \""+forecast+"\" (expected \"now\", \"h1\", \"d3\", or \"d28\").") except Exception as e: return (False,str(e)[0:].capitalize()+".") #Good String return (True,"")
def parse_now(lexemes):
try:
#JSON Return String
return_json=""
#Retrieve Downloaded Time
download_time=assemble_dict_current_time();
found_data=False
#Parse Lexemes
for ii in range(0,len(lexemes)):
#Ignore Comments
if(len(lexemes[ii])>0 and lexemes[ii][0].startswith("#")==False and lexemes[ii][0].startswith(":")==False):
#Valid Time Row
if(len(lexemes[ii])==15):
#Extract Predicted Time
predicted_time={};
predicted_time["year"]=int(lexemes[ii][0])
predicted_time["month"]=int(lexemes[ii][1])
predicted_time["day"]=int(lexemes[ii][2])
predicted_time["hour"]=date_util.hhmm_to_hour(lexemes[ii][3])
predicted_time["minute"]=date_util.hhmm_to_min(lexemes[ii][3])
#Extract Predicted Kp
kp=float(lexemes[ii][8])
#Test Predicted Date
date_test=date_util.valid_date(predicted_time,ii+1)
if(date_test[0]==False):
return date_test
#Invalid Kp
kp_test=kp_util.valid_kp(kp,ii+1)
if(kp_test[0]==False):
return kp_test
#Only Add Good Data
if(kp>=0):
return_json+=assemble_json_forecast(predicted_time,download_time,"now",kp);
return_json+="\t,\n"
found_data=True
#Unknown Symbol
else:
return (False,"Unexpected symbol \""+str(lexemes[ii][0])+"\" on line "+str(ii+1)+".")
#No Data Means Error
if(found_data==False):
return (False,"Did not find any data.")
#Return Passed and the JSON Object
return (True,return_json[:-2]+"\n")
except Exception as e:
return (False,str(e)[0:].capitalize()+".")
def parse_d3(lexemes):
try:
#JSON Return String
return_json=""
#Retrieve Downloaded Time
download_time=assemble_dict_current_time();
#Default Predicted Time
found_date=False
found_data=False
#Parse Lexemes
for ii in range(0,len(lexemes)):
#Ignore Comments
if(len(lexemes[ii])>0 and lexemes[ii][0].startswith("#")==False and lexemes[ii][0].startswith(":")==False):
#Valid MD Row
if(len(lexemes[ii])==6 and date_util.month_to_int(lexemes[ii][0])>0 and string_util.is_int(lexemes[ii][1])):
#Found a Date
found_date=True
date=lexemes[ii]
#Valid Time Row
elif(len(lexemes[ii])==4 and found_date==True):
#Convert Hours
hours=date_util.hhdashhhut_to_hours(lexemes[ii][0])
#Extract Data
if(hours[0]>=0 and hours[1]>=0):
#3 Days Per Row
for jj in range(0,3):
#Extract Predicted Time, Minute is -1
predicted_time={};
predicted_time["year"]=download_time["year"]
predicted_time["month"]=date_util.month_to_int(date[jj*2])
predicted_time["day"]=int(date[jj*2+1])
predicted_time["hour"]=hours[0]
predicted_time["minute"]=-1
#Extract Predicted Kp
kp=float(lexemes[ii][1+jj])
#Test Predicted Date
date_test=date_util.valid_date(predicted_time,ii+1)
if(date_test[0]==False):
return date_test
#Invalid Kp
kp_test=kp_util.valid_kp(kp,ii+1)
if(kp_test[0]==False):
return kp_test
#Only Add Good Data
if(kp>=0):
return_json+=assemble_json_forecast(predicted_time,download_time,"d3",kp);
return_json+="\t,\n"
found_data=True
#No Data Means Error
if(found_data==False):
return (False,"Did not find any data.")
#Return Passed and the JSON Object
return (True,return_json[:-2]+"\n")
except Exception as e:
return (False,str(e)[0:].capitalize()+".")
def parse_h1(lexemes):
try:
#JSON Return String
return_json=""
#Retrieve Downloaded Time
download_time=assemble_dict_current_time();
#Default Predicted Time
found_date=False
found_data=False
#Parse Lexemes
for ii in range(0,len(lexemes)):
#Ignore Comments
if(len(lexemes[ii])>0 and lexemes[ii][0].startswith("#")==False and lexemes[ii][0].startswith(":")==False):
#Valid YMD Row
if(len(lexemes[ii])==3 and string_util.is_int(lexemes[ii][0])):
#Found a Date
found_date=True
#Extract Predicted YMD
predicted_time={};
predicted_time["year"]=int(lexemes[ii][0])
predicted_time["month"]=date_util.month_to_int(lexemes[ii][1])
predicted_time["day"]=int(lexemes[ii][2])
predicted_time["hour"]=0;
predicted_time["minute"]=0;
#Valid Planetary Estimated Ap Row
elif(found_date==True and len(lexemes[ii])==11 and lexemes[ii][0].startswith("Planetary")):
#Go Through The 8 Three Hour Segments
for jj in range(0,8):
#Create 3 Entries Per Three Hour Segment
for kk in range(0,3):
#Extract Predicted Hour, Minute is -1
predicted_time["hour"]=jj*3+kk
predicted_time["minute"]=0
#Extract Predicted Kp
kp=float(lexemes[ii][3+jj])
#Test Predicted Date
date_test=date_util.valid_date(predicted_time,ii+1)
if(date_test[0]==False):
return date_test
#Invalid Kp
kp_test=kp_util.valid_kp(kp,ii+1)
if(kp_test[0]==False):
return kp_test
#Only Add Good Data
if(kp>=0):
return_json+=assemble_json_forecast(predicted_time,download_time,"h1",kp);
return_json+="\t,\n"
found_data=True
#No Data Means Error
if(found_data==False):
return (False,"Did not find any data.")
#Return Passed and the JSON Object
return (True,return_json[:-2]+"\n")
except Exception as e:
return (False,str(e)[0:].capitalize()+".")