127 lines
4.4 KiB
Python
127 lines
4.4 KiB
Python
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#-----------------------------------------------------------------------------#
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import raw_eater
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import raw_meat
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import pyarrow as pa
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import pyarrow.parquet as pq
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rawlist = [
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"smp/Rangerover_Evoque_F-RR534_2019-05-07/BrakePedalActiveQF_HS.raw",
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"smp/Rangerover_Evoque_F-RR534_2019-05-07/BrakePressure_HS.raw",
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"smp/Rangerover_Evoque_F-RR534_2019-05-07/EngineSpeed_HS.raw",
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"smp/Rangerover_Evoque_F-RR534_2019-05-07/pressure_FL.raw",
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"smp/Rangerover_Evoque_F-RR534_2019-05-07/pressure_RL.raw",
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"smp/Rangerover_Evoque_F-RR534_2019-05-07/pressure_Vacuum.raw",
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"smp/VehicleSpeed_HS.raw",
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"smp/Rangerover_Evoque_F-RR534_2019-05-07/ABS_A_Port1.raw",
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"./pyt/example.py",
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"smp/Rangerover_Evoque_F-RR534_2019-05-07/LateralAcceleration_HS.raw",
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"smp/Rangerover_Evoque_F-RR534_2019-05-07/Temp_Disc_FR.raw"
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]
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print("")
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#-----------------------------------------------------------------------------#
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# convert every single listed file
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for rf in rawlist :
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print("converting " + str(rf) + "...\n" + 90*("-") + "\n")
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# setup instance of "raw_eater" and trigger conversion
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eatraw = raw_eater.raweater(rf.encode())
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# eatraw = raw_meat.rawmerger(rf.encode())
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# check validity of file format
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if eatraw.validity() :
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# show channel name and its unit
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entity = eatraw.channel_name().decode(encoding='UTF-8',errors='ignore')
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unit = eatraw.unit().decode(encoding='UTF-8',errors='ignore')
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print("\nentity: " + str(entity))
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print("unit: " + str(unit) + "\n")
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# obtain extracted data
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xt = eatraw.get_time()
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yt = eatraw.get_channel()
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# show excerpt of data
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print("time (length: " + str(len(xt)) + ") \n"
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+ str(xt[:10]) + "\n...\n" + str(xt[-10:]) + "\n")
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yttrunc = [round(y,4) for y in yt]
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print(str(entity) + " (length: " + str(len(yttrunc)) + ") \n"
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+ str(yttrunc[:10]) + "\n...\n" + str(yttrunc[-10:]) + "\n")
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outname = rf.split('/')[-1].replace('raw','csv')
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print("write output to : " + outname)
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eatraw.write_table((outname).encode(),ord(' '))
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else :
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print("\nerror: invalid/corrupt .raw file")
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print("\n")
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#-----------------------------------------------------------------------------#
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print("convert and merge channels " + "\n" + 90*("-") + "\n")
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# setup new instance to merge channels
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eatmea = raw_meat.rawmerger(rawlist[0].encode())
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# add every single channel/file in list
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for rf in rawlist :
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print("\nadding channel " + str(rf))
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succ = eatmea.add_channel(rf.encode())
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if succ :
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print("\nrecent time series: length: " + str(len(eatmea.get_time_series())) + "\n")
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else :
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print("\nfailed to add channel\n")
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# show summary of successfully merged channels
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print("\nmerged channels:\n")
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# write merged table to .csv output
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eatmea.write_table_all('allchannels.csv'.encode(),ord(','))
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# get number of successfully merged channels and their names (+units)
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numch = eatmea.get_num_channels()
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chnames = [chnm.decode(encoding='UTF-8',errors='ignore') for chnm in eatmea.get_channel_names()]
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print("number of channels: " + str(numch))
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print("channel names: " + str(chnames))
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# obtain final time series
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timse = eatmea.get_time_series()
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print("\nfinal time series:\nlength:" + str(len(timse)) + "\n")
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# get time unit and prepend column name
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chnames.insert(0,"Time ["+str(eatmea.time_unit().decode(encoding='UTF-8',errors='ignore'))+"]")
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# prepare list of pyarrow arrays
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pyarrs = []
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pyarrs.append(pa.array(timse))
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for i in range(0,numch) :
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print("\n" + str(i) + " " + str(chnames[i]))
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dat = eatmea.get_channel_by_index(i)
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print("length: " + str(len(dat)))
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pyarrs.append(pa.array(dat))
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print("")
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# print("\npyarrow arrays\n" + str(pyarrs))
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# create pyarrow table from data
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pyarwtab = pa.Table.from_arrays(pyarrs,chnames)
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print("\n" + 60*"-" + "\n" + str(pyarwtab) + "\n")
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# write pyarrow table to .parquet file with compression
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pq.write_table(pyarwtab,'allchannels.parquet',compression='BROTLI') # compression='BROTLI', 'SNAPPY')
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# try to read and decode the .parquet file
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df = pq.read_table('allchannels.parquet')
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print(df.to_pandas())
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# df.to_pandas().to_csv('allchannels.csv',index=False,encoding='utf-8',sep=",")
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#-----------------------------------------------------------------------------#
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