Expert Analysis API

Base URL

All URLs referenced in this documentation have the following base:

The REST API is served over http at the moment. https is not supported.

Authentication

The API is currently used without authentication.

Clean up the CSV file

To return a cleaned up version of the CSV file.

Parameters

csv

The CSV to clean.

String

Returns

version	A version number for the API	String
originalHeaders	A list of original headers extracted from the CSV file	Array
removedHeaders	A list of the headers this API has removed from the CSV	Array
reCSV	A version of the CSV with extraneous columns removed	text

Python

Example usage in python

    from pathlib import Path
    import requests
    import json
    #
    csv_file_path = "./myCsvFile.csv"
    csv = Path(csv_file_path).read_text()
    #
    api_endpoint = "http://www.octapi.tech/reCSV"
    data = {'csv':csv}
    r = requests.post(url=api_endpoint, data=data)
    y = eval(r.text)
    version = y["version"]
    originalHeaders = y["originalHeaders"]
    removedHeaders  = y["removedHeaders"]
    reCSV = y["reCSV"]
  

Convert JSON ZIP ARCHIVE to CSV

To convert a ZIP archive containing JSON data into CSV format.

Parameters

zip

The base64 encoded zip file to convert.

Base64 Encoded Data

Returns

status	OK or NG	String
csv	Data in CSV format	String
message	Error message, only in the case of an error	String

Python

Example usage in python

    from pathlib import Path
    import requests
    import json
    import base64    
    #
    fileName = "./myZipFile.zip"

    with open(fileName, "rb") as f:
        bytes = f.read()
        encoded = base64.b64encode(bytes)
        api_endpoint = "http://www.octapi.tech/zip2csv"
        data = {'zip':encoded}
        theResponse = requests.post(url=api_endpoint, data=data)
        theJson = json.loads(theResponse.text)

    theCsv = theJson["csv"]

    #If you want to write out the CSV, 
    f = open(directory_name+'csvFile.csv', 'w')
    f.write(theCsv)
    f.close()    
  

Convert CSV to JSON

To convert a CSV file into JSON format.

Parameters

csv

The CSV to convert.

String

Returns

version	A version number for the API	String
headers	A list of headers extracted from the CSV file	Array
dataSet	The data set from the CSV file, structured as a JSON object	Object
topLinest	The top lines in the CSV file, before the data, as a list	Array
summaryData	The summary data from the bottom of the CSV file	Array of objects

Python

Example usage in python

    from pathlib import Path
    import requests
    import json
    #
    csv_file_path = "./myCsvFile.csv"
    csv = Path(csv_file_path).read_text()
    #
    api_endpoint = "http://www.octapi.tech/objectify"
    data = {'csv':csv}
    r = requests.post(url=api_endpoint, data=data)
    y = eval(r.text)
    version = y["version"]
    headers = y["headers"]
    dataSet = y["dataSet"]
  

Convert CSV to CSV

To convert a CSV file into CSV format.

Parameters

csv

The CSV to convert.

String

Returns

version	A version number for the API	String
csv	A cleaned up version of the CSV file provided as input	Text

Python

Example usage in python

    from pathlib import Path
    import requests
    import json
    #
    csv_file_path = "./myCsvFile.csv"
    csv = Path(csv_file_path).read_text()
    #
    api_endpoint = "http://www.octapi.tech/csv2csv"
    data = {'csv':csv}
    r = requests.post(url=api_endpoint, data=data)
    y = eval(r.text)
    version = y["version"]
    newCSV = y["csv"]
  

Analyze Time Series Data

Analyze the time series data and turn it into statistics. Creates statistical values (e.g. mean, max, min, etc.) for the various measured parameters (e.g. throughput, streams, MCS, etc.) for each value of attenuation.

Parameters

headers	The set of headers (see objectify)	Array
dataSet	The data set (see objectify)	Object or String
run	The run number to analyze	Number

Returns

version	A version number for the API	String
crunchedData	The statistical data for the data set, structured as a JSON object	Object
Notes	Alerts, Warnings, Commentary, and Summary based on analysis of the data	Object

Python

Example usage in python

    api_endpoint = "http://www.octapi.tech/crunch"
    run=1;
    data = {'headers':headers, 'dataSet':json.dumps(dataSet), 'run':run}
    r = requests.post(url=api_endpoint, data=data)
    y = json.loads(r.text)
    version = y["version"]
    analyzedData = y["crunchedData"]
    print("The number of sets of analyzed data is {}".format(len(analyzedData)))
    for a in range(0,len(analyzedData)):
    print("The number of attenuation steps in set {} is {}".format(a+1,len(analyzedData[a])))
  

Analyze Statistical Data

Analyze the statistical data. For example, provide feedback on the "quality" of a rate vs. range curve. In addition, compare the results of some statistical tests to pass/fail criteria, if those criteria are supplied.

Parameters

headers	The set of headers (see objectify)	Array
dataSet	The data set (see objectify)	Object or String
run	The run number to analyze	Number
crunchedData	The statistical data (see crunch)	Object or String
pe	The Pal Endpoint to analyze	Number
LimitsCSV	The CSV containing the limits information, if limits checking is desired	String (Example File)
aName	The name of the analysis being called	String

Returns

version	A version number for the API	String
analyzedData	The statistical data for the data set, structured as a JSON object (same as input)	Object
Notes	Notes based on analysis of the data. Includes Alerts, Warnings, and Notes	Array
limitTestResults	Results of limit test analysis, if limits file was provided	Array

Python

Example usage in python

    limits_file_path = "./Limits.csv"
    limits = Path(limits_file_path).read_text()
    #
    api_endpoint = "http://www.octapi.tech/analyze"
    pe = 1
    data = {'headers':headers, 'dataSet':json.dumps(dataSet), 'run':run, 'crunchedData':json.dumps(analyzedData),
            'pe':pe,'LimitsCSV':limits,'aName':'analyze_ThroughputVsAttenuation'}
    r = requests.post(url=api_endpoint, data=data)
    y = json.loads(r.text)
    print("Version : {}".format(y["version"]))
    print("Analyzed data length : {}".format(len(y["analyzedData"])))
    print("Alerts length : {}".format(len(y["Notes"]["Alerts"])))
    print("Warnings length : {}".format(len(y["Notes"]["Warnings"])))
    print("Limits test length : {}".format(len(y["limitTestResults"])))
    limitTest = y["limitTestResults"]
    print("Limit test results: {}".format(json.dumps(limitTest,indent=4)))
  

Analyze Statistical Data (Alternate Usage)

Analyze the statistical data. For example, provide feedback on the "quality" of a rate vs. range curve. In addition, compare the results of some statistical tests to pass/fail criteria, if those criteria are supplied.
This test can also be supplied with the original CSV file instead of the intermediate statistical files.

Parameters

DataCSV	The CSV data to use	Array
LimitsCSV	The CSV containing the limits information, if limits checking is desired	String
aName	The name of the analysis being called	String

Returns

version	A version number for the API	String
analyzedData	The statistical data for the data set, structured as a JSON object (same as input)	Object
Notes	Notes based on analysis of the data. Includes Alerts, Warnings, and Notes	Array
limitTestResults	Results of limit test analysis, if limits file was provided	Array

Python

Example usage in python

    api_endpoint = "http://octapi.tech/analyze"
    data = {'DataCSV':csv, 'LimitsCSV':limits,'aName':'analyze_ThroughputVsAttenuation'}
    r = requests.post(url=api_endpoint, data=data)
    y = json.loads(r.text)
    print("Version : {}".format(y["version"]))
    print("Analyzed data length : {}".format(len(y["analyzedData"])))
    print("Alerts length : {}".format(len(y["Notes"]["Alerts"])))
    print("Warnings length : {}".format(len(y["Notes"]["Warnings"])))
    print("Limits test length : {}".format(len(y["limitTestResults"])))
    limitTest = y["limitTestResults"]
    print("Limit test results: {}".format(json.dumps(limitTest,indent=4)))
  

Get theoretical MCS

Get MCS based on the 802.11 standard.

Parameters

standard	802.11 standard: 11n, 11ac, 11ax	String
RSSI	Received signal strength (dBm)	String
BW	Bandwidth (MHz): 20, 40, 80, 160	String
streams	Number of streams: 1-8	String

Returns

status	Status of the return	String
MCS	MCS value	Number

Python

Example usage in python

    api_endpoint = "http://www.octapi.tech/getMCS"
    standard = "11ax"
    RSSI = "-50"
    BW = "80"
    streams = "2"
    api_endpoint += "?" + "standard=" + standard
    api_endpoint += "&" + "RSSI=" + RSSI
    api_endpoint += "&" + "BW=" + BW
    api_endpoint += "&" + "streams=" + streams
    r = requests.get(url=api_endpoint)
    y = eval(r.text)
    status = y["status"]
    MCS    = y["MCS"]
    print("Returned with status {}".format(status))
    print("MCS found is {}".format(MCS))
  

Get theoretical data rate

Get data rate based on the 802.11 standard.

Parameters

standard	802.11 standard: 11n, 11ac, 11ax	String
MCS	MCS (see /getMCS)	String
BW	Bandwidth (MHz): 20, 40, 80, 160	String
streams	Number of streams: 1-8	String
GI	Guard interval (ns). Depends on standard, but usually 400, 800, 1600, 3200	String
tones	Number of tones for OFDMA. Optional, and only valid for 11ax. Should be an allowed number of tones.	String

Returns

status	Status of the return	String
rate	Data rate	Number

Python

Example usage in python

    api_endpoint = "http://www.octapi.tech/getDRate"
    standard = "11ax"
    MCS = "7"
    BW = "80"
    streams = "2"
    GI = "800"
    api_endpoint += "?" + "standard=" + standard
    api_endpoint += "&" + "MCS=" + MCS
    api_endpoint += "&" + "BW=" + BW
    api_endpoint += "&" + "streams=" + streams
    api_endpoint += "&" + "GI=" + GI
    print("The api endpoint is " + api_endpoint)
    r = requests.get(url=api_endpoint)
    y = eval(r.text)
    status = y["status"]
    rate    = y["rate"]
    print("Returned with status {}".format(status))
    print("Rate found is {}".format(rate))
  

PCAP APIs

Although these can be run against the hosted version of the API, uploading PCAP files takes time, and the hosted server may not be as fast as local servers. Therefore, the descriptions of the PCAP APIs will assume a local version of Expert Analysis, running on port 8080.

The basic PCAP parser

Parse a PCAP file. The parsing (dissection) engine can either be Expert Analysis "native", or it can use TSHARK. Over time we expect TSHARK to be the preferred method.

Parameters

fileName	Name of the PCAP file. Note that for EA native dissection this must be a .pcap file. For TSHARK, any format (pcap, pcapng, gz) can be used.	String
pcapDir	Directory location for the file. If the file is in the default (pcapDirectory), this can be ignored. Otherwise, use a full path.	String
preferTshark	Indicate that tshark should be used for packet dissection, if possible. The current default is FALSE, but this is expected to change.	String, "true" or "false"
filters	Packet Types on which to filter. Exactly the same as on the UI. Association request Association response Reassociation request Reassociation response Probe request Probe response Beacon< Announcement traffic indication map (ATIM) Disassociate Authentication Deauthentication Action frames Block ACK Request Block ACK Power-Save Poll Request to Send Clear to Send ACK Contention Free Period End Contention Free Period End ACK Data Data + Contention Free ACK Data + Contention Free Poll Data + Contention Free ACK + Contention Free Poll NULL Data NULL Data + Contention Free ACK NULL Data + Contention Free Poll NULL Data + Contention Free ACK + Contention Free Poll QoS Data QoS Data + Contention Free ACK QoS Data + Contention Free Poll QoS Data + Contention Free ACK + Contention Free Poll NULL QoS Data NULL QoS Data + Contention Free Poll NULL QoS Data + Contention Free ACK + Contention Free Poll EAPOL Malformed Packet FromDS ToDS TCP IGMP Trigger VHT/HE NDP Announcement	String
categories	Packet Categories on which to filter. Exactly the same as on the UI. Spectrum Management QoS DLS Block ACK Public Radio Measurement Fast BSS Transition HT SA Query Protected Dual of Public Action WNM Unprotected WNM TDLS Mesh Multihop Self-protected DMG Wi-FI Alliance Fast Session Transfer Robust AV Streaming Unprotected DMG VHT TWT HE Protected HE	String
actions	Packet Action Categories on which to filter. Exactly the same as on the UI. For cateegory "WNM" Event Request Event Report Diagnostic Request Diagnostic Report Location Configuration Request Location Configuration Response BSS Transition Management Query BSS Transition Management Request BSS Transition Management Response FMS Request FMS Response Collocated Interference Request Collocated Interference Report TFS Request TFS Response TFS Notify WNM Sleep Mode Request WNM Sleep Mode Response TIM Broadcast Request TIM Broadcast Response QoS Traffic Capability Update Channel Usage Request Channel Usage Response DMS Request DMS Response Timing Measurement Request WNM Notification Request WNM Notification Response WNM-Notify Response For category "Fast Session Transfer" FST Setup Request FST Setup Response FST Teardown FST Ack Request FST Ack Response On-channel Tunnel Request For cateogry"TWT" TWT Setup TWT Teardown	String
ToMacs	A comma-separated list of MAC addresses that should be in the Transmitter, or Source, address of the packet.	String
FromMacs	A comma-separated list of MAC addresses that should be in the Receiver, or Destination, address of the packet.	String
Logic	This should be "AND" or "OR". It is used with the To/From addresses. The packets should either have packets To "AND" From the addresses, or To "OR" From the addresses.	String
startAt	The first packet number to use in the analysis.	String
endAt	The last packet number to use in the analysis.	String

Returns

uploadFiles	The list of files in the default PCAP directory.	Array of strings
errored	Indicates return error condition	Boolean
errorMessage	Message in error case	String
maxPacketProcessed	The number of the last packet analyzed	Integer
packetsProcessed	The total number of packets analyzed	Integer
more	Indicates if there is more analysis to be done. This API handles a maximum of 20K packets per call. If more are requested, the analysis will analyze the first 20K, and set more to True	Boolean
timeMsec	Total analysis time, and time per packet.	Object, {total, perPacket}
fields	This is the list of returned packets. This is an array of objects, and the object will be different for each packet type. Click here to see an example for a Trigger.	Array of Objects.
firstTimestamp	The first timestamp in the analyzed data.	Integer
firstFrameTimestamp	The first frame timestamp in the analyzed data.	Integer
firstArrivalTime	The arrival time of the first frame in the analyzed data.	Float
channelSwitches	Channel switch announcement information from beacons	Array
bssTransitions	DEPRECATED	Empty Array
roamThisMAC	MAC address for the roaming station in a roaming analysis.	String

Python

Example usage in python

    
    api_endpoint = "http://localhost:8080/" + "parsePCAP?fileName="+pcapFile+"&pcapDir="+pcapDir
    apiResponse = requests.get(api_endpoint, timeout=REST_TIMEOUT)
    returnObject = json.loads(apiResponse.text)

    totalPackets = returnObject["totalPackets"]
    thePackets = returnObject["fields"]
		
  

The PCAP API toolkit

These API calls make use of the PCAP parser, above, but they go a step further. There are some built-in analyses of the PCAP files that can be useful in further analysis.

Parameters

fileName	Name of the PCAP file. Note that for EA native dissection this must be a .pcap file. For TSHARK, any format (pcap, pcapng, gz) can be used.	String (can be CSV for MLO)
pcapDir	Directory location for the file. If the file is in the default (pcapDirectory), this can be ignored. Otherwise, use a full path.	String (can be CSV for MLO)
preferTshark	Indicate that tshark should be used for packet dissection, if possible. The current default is FALSE, but this is expected to change.	String, "true" or "false"
noDuplicates	Indicate that the parser should attempt to remove all duplicate packets in the capture. By default this is false. This should only be used if there are multiple sniffers that are expected to be capturing the same packets, and you do not want duplicates to be analyzed.	String, "true" or "false"
filters	Packet Types on which to filter. Exactly the same as on the UI. (see above)	String
categories	Packet Categories on which to filter. Exactly the same as on the UI. (see above)	String
actions	Packet Action Categories on which to filter. Exactly the same as on the UI. (see above)	String
to	A comma-separated list of MAC addresses that should be in the Transmitter, or Source, address of the packet.	String
from	A comma-separated list of MAC addresses that should be in the Receiver, or Destination, address of the packet.	String
logic	This should be "AND" or "OR". It is used with the To/From addresses. The packets should either have packets To "AND" From the addresses, or To "OR" From the addresses.	String
firstPacket	The first packet number to use in the analysis.	String
lastPacket	The last packet number to use in the analysis.	String
direction	The direction of the traffic flow, if that information is needed for the analysis.	String, either "dl" or "ul".
MLObands	A set of bands that match the input files	Comma separated list
action	Which of the available "tools" to select. The list follows. getTotalPacketCount, counts all packets in the file. example output getPacketList, returns the complete dissection for packets that satisfy the various filters. example output getAIDlist, returns AID lists (per BSSID) for captures with Trigger frames. example output getAID2MAC, returns an AID to MAC address mapping for captures with Trigger frames, if the mapping can be found. example output getTriggerInfo, returns Trigger statistics for captures with Trigger frames. example output getHeMuInfo, returns HE-MU statistics for captures with HE-MU frames. PPDU=2 example output getMainStream, attempts to find the main flow of data in the capture. From MAC, to MAC. example output getDFS, returns channel switch announcement information if it exists in the beacons. example output getSequenceNumberDeltas, uses the "main stream" found, and looks for gaps in sequence numbers. Useful for seeing if packets are being dropped/missed. example output getStats, uses the "main stream" found, and returns some basic statistics for each packet. example output getRoaming, looks for evidence of a roam event and returns roam time calculations. example output getDataOfType, uses the filters, pulls packets that pass the filters but returns a much smaller amount of data than getPacketList example output getMLO, requires multiple data files, and uses various packets to figure out the MLDs on the AP and the STA side. MLObands must be passed in for this function.	String
roamAnalyses	Which of the roam time analysis methods to use, when the action=getRoaming is selected. The list follows. AllData: Using any data packets, calculate a roam time. ULpackets: Using only UPLINK packets from the roaming station, calculate a roam time. TCP-UDP: Focus on only TCP or UDP packets, calculate a roam time. Cisco: Very similar to AllData, but require that the packets be ACKed. BlockACKs: Define roam time as being between Block ACKs before and after a BSSID change of the roaming station.	String

Returns

Varies, depending on the analysis performed. See specific examples above, and in here.

Python

Example usage in python

    baseURL = "http://localhost:8080/pcapAPI"
    api_endpoint = baseURL + "?fileName="+pcapFile+"&pcapDir="+pcapDir+"&firstPacket=1&lastPacket=1000&action=getAIDlist"

    print(">>>Running the captured file through a PCAP analysis.  Get the AID list.")
    apiResponse = requests.get(api_endpoint, timeout=REST_TIMEOUT)
    returnObject = json.loads(apiResponse.text)
    apiListResult = returnObject["result"]
    print('>> aidsPerBssid: ', apiListResult["aidsPerBssid"])    
		
  

DEPRECATED

• analyzePCAP
• fileName
• startPacket
• endPacket
• from
• to
• pcapDir
• analysis
• PacketCount
• DFS
• GetMainStream
• SequenceNumberDeltas
• getStats
• AnalyzeRoaming
• dissectPacket
• packet