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Beispiel: Abrufen von Karten-Service-Statistiken aus ArcGIS for Server-Protokollen

In diesem Beispiel der ArcGIS-REST-API können Sie Statistiken zu einzelnen Services aus ArcGIS-Server-Protokollen abrufen. Mit dem Skript unten werden alle Protokollmeldungen der letzten 24 Stunden zu abgeschlossenen Kartendarstellungen gelesen. Es protokolliert, welche Services dargestellt wurden und wie lange die Darstellungserstellung dauerte. Die Anzahl der Darstellungen und die durchschnittliche Erstellungszeit für jeden Service werden dann in eine durch Trennzeichen getrennte Textdatei geschrieben.

Um dieses Beispiel selbst auszuprobieren, führen Sie folgende Schritte aus:

  1. Veröffentlichen Sie verschiedene Karten-Services (ohne Kachel-Caches für diese zu definieren).
  2. Stellen Sie das ArcGIS for Server-Protokoll-Level auf Fein ein.
  3. Erzeugen Sie Darstellungsanforderungen für Ihre Services, indem Sie sie ArcMap hinzufügen oder auf ihre Miniaturdarstellungen in Manager klicken und zoomen und schwenken.
  4. Führen Sie dieses Skript aus, und überprüfen Sie die ausgegebene Textdatei. Sie können die Datei auch in eine Datei mit der Erweiterung ".csv" umbenennen und sie in einem Tabellenkalkulationsprogramm wie Microsoft Excel öffnen.
# Queries the logs and writes statistics on map service activity during the past 24 hours

# For Http calls
import httplib, urllib, json

# For system tools
import sys, time

# For reading passwords without echoing
import getpass

#Defines the entry point into the script
def main(argv=None):
    # Print some info
    print
    print "This tool is a sample script that queries the ArcGIS Server logs and writes a report"
    print "  summarizing all map service draws within the past 24 hours."
    print
    
    # Ask for admin/publisher user name and password
    username = raw_input("Enter user name: ")
    password = getpass.getpass("Enter password: ")
 
    
    # Ask for server name
    serverName = raw_input("Enter Server name: ")
    serverPort = 6080

    # Ask for text file path
    filePath = raw_input("Enter the path of the text file where the statistics should be written.")

    millisecondsToQuery = 86400000 # One day 
    hitDict = {}
    
    # Get a token
    token = getToken(username, password, serverName, serverPort)
    if token == "":
        print "Could not generate a token with the username and password provided."
        return
    
    # Construct URL to query the logs
    logQueryURL = "/arcgis/admin/logs/query"
    startTime = int(round(time.time() * 1000))
    endTime = startTime - millisecondsToQuery
    logFilter = "{'services':'*','server':'*','machines':'*'}"
    
    params = urllib.urlencode({'level': 'FINE', 'startTime': startTime, 'endTime': endTime, 'filter':logFilter, 'token': token, 'f': 'json'})
    
    headers = {"Content-type": "application/x-www-form-urlencoded", "Accept": "text/plain"}
    
    # Connect to URL and post parameters    
    httpConn = httplib.HTTPConnection(serverName, serverPort)
    httpConn.request("POST", logQueryURL, params, headers)
    
    # Read response
    response = httpConn.getresponse()
    if (response.status != 200):
        httpConn.close()
        print "Error while querying logs."
        return
    else:
        data = response.read()

        # Check that data returned is not an error object
        if not assertJsonSuccess(data):          
            print "Error returned by operation. " + data
        else:
            print "Operation completed successfully!"

        # Deserialize response into Python object
        dataObj = json.loads(data)
        httpConn.close()

        # Need these variables to calculate average draw time for an ExportMapImage call
        mapDraws = 0
        totalDrawTime = 0 
        
        # Iterate over messages        
        for item in dataObj["logMessages"]:
            
                       
            if item["message"] == "End ExportMapImage":

                elapsed = float(item["elapsed"])
                keyCheck = item["source"]

                if keyCheck in hitDict:
                    stats = hitDict[keyCheck]

                    # Add 1 to tally of hits
                    stats[0] += 1
                    
                    # Add elapsed time to total elapsed time
                    stats[1] += elapsed
                else:
                    # Add key with one hit and total elapsed time
                    hitDict[keyCheck] = [1,elapsed]

        # Open text file and write header line       
        summaryFile = open(filePath, "w")        
        header = "Service,Number of hits,Average seconds per draw\n"
        summaryFile.write(header)

        # Read through dictionary and write totals into file 
        for key in hitDict:

            # Calculate average elapsed time
            totalDraws = hitDict[key][0]
            totalElapsed = hitDict[key][1]
            avgElapsed = 0

            if totalDraws > 0:     
                avgElapsed = (1.0 * (totalElapsed / totalDraws)) #Elapsed time divided by hits

            # Construct and write the comma-separated line         
            line = key + "," + str(totalDraws) + "," + str(avgElapsed) + "\n"
            summaryFile.write(line)

        summaryFile.close()
        return

#A function to generate a token given username, password and the adminURL.
def getToken(username, password, serverName, serverPort):
    # Token URL is typically http://server[:port]/arcgis/admin/generateToken
    tokenURL = "/arcgis/admin/generateToken"
    
    # URL-encode the token parameters
    params = urllib.urlencode({'username': username, 'password': password, 'client': 'requestip', 'f': 'json'})
    
    headers = {"Content-type": "application/x-www-form-urlencoded", "Accept": "text/plain"}
    
    # Connect to URL and post parameters
    httpConn = httplib.HTTPConnection(serverName, serverPort)
    httpConn.request("POST", tokenURL, params, headers)
    
    # Read response
    response = httpConn.getresponse()
    if (response.status != 200):
        httpConn.close()
        print "Error while fetching tokens from admin URL. Please check the URL and try again."
        return
    else:
        data = response.read()
        httpConn.close()
        
        # Check that data returned is not an error object
        if not assertJsonSuccess(data):            
            return
        
        # Extract the toke from it
        token = json.loads(data)       
        return token['token']            
        

#A function that checks that the input JSON object
#  is not an error object.    
def assertJsonSuccess(data):
    obj = json.loads(data)
    if 'status' in obj and obj['status'] == "error":
        print "Error: JSON object returns an error. " + str(obj)
        return False
    else:
        return True
    
        
# Script start
if __name__ == "__main__":
    sys.exit(main(sys.argv[1:]))