def galleryProcess(request):
'''
Process a request to save a rendered image to the gallery.
Keyword arguments:
request -- the request object.
Return:
Redirect user to the gallery is the submission was sucessful or display an
approriate error message.
'''
if request.method == 'POST':
CAPTCHA_PUBLIC_KEY = settings.AF_RECAPTCHA_PUBLIC_KEY
form = gallerySubmitForm(request.POST)
if form.is_valid():
# Check if CAPTCHA response was valid.
response = captcha.submit(
request.POST.get('recaptcha_challenge_field'),
request.POST.get('recaptcha_response_field'),
settings.AF_RECAPTCHA_PRIVATE_KEY,
request.META['REMOTE_ADDR'],
)
if not response.is_valid:
captchaWrong = True
submitError = True
requestID = request.POST['image']
return render_to_response(
'render.html',
locals(),
context_instance=RequestContext(request))
# Copy the temporary rendered image into the gallery - so that
# it doesn't get pruned (_cleanFiles).
staticPath = os.path.join(settings.PROJECT_PATH, "app/static/")
renderedFile = staticPath + "rendered/" + request.session[
'requestID'] + ".gif"
outputFile = staticPath + "gallery/" + request.session[
'requestID'] + ".gif"
copyfile(renderedFile, outputFile)
# Generate and save a thumbnail of this image.
_generateThumbnail(staticPath, request.session['requestID'])
# Insert the image details into the gallery database.
form.save()
return redirect('/gallery?s=1')
else:
# Validation error.
requestID = request.POST['image']
submitError = True
return render_to_response('render.html',
locals(),
context_instance=RequestContext(request))
else:
return redirect('/process')
def galleryProcess(request):
'''
Process a request to save a rendered image to the gallery.
Keyword arguments:
request -- the request object.
Return:
Redirect user to the gallery is the submission was sucessful or display an
approriate error message.
'''
if request.method == 'POST':
CAPTCHA_PUBLIC_KEY = settings.AF_RECAPTCHA_PUBLIC_KEY
form = gallerySubmitForm(request.POST)
if form.is_valid():
# Check if CAPTCHA response was valid.
response = captcha.submit(
request.POST.get('recaptcha_challenge_field'),
request.POST.get('recaptcha_response_field'),
settings.AF_RECAPTCHA_PRIVATE_KEY,
request.META['REMOTE_ADDR'],)
if not response.is_valid:
captchaWrong = True
submitError = True
requestID = request.POST['image']
return render_to_response('render.html', locals(),
context_instance=RequestContext(request))
# Copy the temporary rendered image into the gallery - so that
# it doesn't get pruned (_cleanFiles).
staticPath = os.path.join(settings.PROJECT_PATH, "app/static/")
renderedFile = staticPath + "rendered/" + request.session['requestID'] + ".gif"
outputFile = staticPath + "gallery/" + request.session['requestID'] + ".gif"
copyfile(renderedFile, outputFile)
# Generate and save a thumbnail of this image.
_generateThumbnail(staticPath, request.session['requestID'])
# Insert the image details into the gallery database.
form.save()
return redirect('/gallery?s=1')
else:
# Validation error.
requestID = request.POST['image']
submitError = True
return render_to_response('render.html', locals(),
context_instance=RequestContext(request))
else:
return redirect('/process')
def _render(request, parsedData, loggly=False, logglyData=None):
'''
Processes a request and attempts to render a graph.
Keyword arguments:
request -- the request object.
parsedData -- boolean, True if the incoming data is parsed data (log/Loggly)
loggly -- boolean, True if the incoming data is from Loggly.
logglyData -- A string data returned from a Loggly search.
Return:
A rendered graph from the request if successful or an error message
on the view.
'''
# Generate a session-key if one isn't already active.
if hasattr(request, 'session') and hasattr(request.session, \
'session_key') and \
getattr(request.session, 'session_key') is None:
request.session.create()
# Generate a unique request ID hash from the session key for this particular
# request.
requestID = md5(request.session.session_key +
str(datetime.now())).hexdigest()
# Clean up old user resource files which are older than four hours.
_cleanFiles()
# If this rendering request's data has been fetched from Loggly, then
# retrieve the rendering settings/configurations from the session (where it
# has been previously saved).
if loggly:
POSTdata = request.session["logglyForm"]
else:
POSTdata = request.POST
# Flag to check and alert of any errors encountered while attempting to
# render.
retVal = 0
if parsedData:
if loggly:
# If data from Loggly (after a search) is empty, alert the user.
if not logglyData:
emptyData = True
return render_to_response(
'render.html',
locals(),
context_instance=RequestContext(request))
# Parse the data from Loggly's search into a CSV file.
retVal = _parseToCsv(logglyData, requestID, POSTdata, True)
else:
# Parse the log file into a CSV file with the expression given.
retVal = _parseToCsv(request.FILES['dataFile'], requestID,
POSTdata)
# If the user submitted a custom regex expression and indicated to
# save it; insert the data into the database and alert an administrator
# through email.
if not retVal and POSTdata[
'regExType'] == '1' and "saveRegEx" in POSTdata:
expression = Expressions(name=POSTdata['saveRegExName'], \
description=POSTdata['saveRegExDescription'], \
regex=POSTdata['regEx'])
expression.save()
message = "Hello, a new expression has been submitted.\n"
message += "Exp name: " + POSTdata["saveRegExName"] \
+ "\n\nDescription: " + POSTdata["saveRegExDescription"] \
+ "\n\nExpression: " + POSTdata["regEx"] \
+ "\n\n"
from_email = settings.AF_FROM_EMAIL
try:
send_mail("Expression submit @AfterGlow", message, from_email,
settings.AF_TO_EMAILS)
except BadHeaderError:
return HttpResponse('Invalid header found. Please try again.')
else:
# A CSV file has been uploaded, write it as-is to the server.
_writeDataFile(request.FILES['dataFile'], requestID)
# If retVal has been changed from 0 to any other value from its point of
# declaration we have an error. Alert the user.
if retVal:
return render_to_response('render.html',
locals(),
context_instance=RequestContext(request))
else:
_writeConfigFile(POSTdata['propertyConfig'], requestID)
#Build up parameters to be sent to the shell script.
param = _buildParameters(POSTdata)
if parsedData:
dataFile = "user_logs_parsed/" + requestID + ".log"
else:
dataFile = "user_data/" + requestID + ".csv"
propertyFile = "user_config/" + requestID + ".property"
outputFile = "afterglow_cloud/app/static/rendered/" + requestID + ".gif"
afPath = "../afterglow/src/afterglow.pl"
#Try rendering a graph, store the return code from the shell script.
status = _renderGraph(dataFile, propertyFile, outputFile, afPath,
POSTdata['renderingFilter'], param)
CAPTCHA_PUBLIC_KEY = settings.AF_RECAPTCHA_PUBLIC_KEY
# Form instance to save the rendered image to the gallery.
form = gallerySubmitForm(initial={'image': requestID})
# Store the unique request-ID used in this render request (to be used
# if the user opts in to submit the image to the gallery).
request.session['requestID'] = requestID
#Construct a rendered graph response.
response = render_to_response('render.html',
locals(),
context_instance=RequestContext(request))
#Check if the user wanted to save/create a cookie to save their
#settings for future use.
if ("saveConfigCookie" in POSTdata):
expiry = datetime.now() + timedelta(days=3)
response.set_cookie(key="afConfig",
value=_buildCookie(POSTdata),
expires=expiry)
return response
def _render(request, parsedData, loggly=False, logglyData=None):
'''
Processes a request and attempts to render a graph.
Keyword arguments:
request -- the request object.
parsedData -- boolean, True if the incoming data is parsed data (log/Loggly)
loggly -- boolean, True if the incoming data is from Loggly.
logglyData -- A string data returned from a Loggly search.
Return:
A rendered graph from the request if successful or an error message
on the view.
'''
# Generate a session-key if one isn't already active.
if hasattr(request, 'session') and hasattr(request.session, \
'session_key') and \
getattr(request.session, 'session_key') is None:
request.session.create()
# Generate a unique request ID hash from the session key for this particular
# request.
requestID = md5(request.session.session_key +
str(datetime.now())).hexdigest()
# Clean up old user resource files which are older than four hours.
_cleanFiles()
# If this rendering request's data has been fetched from Loggly, then
# retrieve the rendering settings/configurations from the session (where it
# has been previously saved).
if loggly:
POSTdata = request.session["logglyForm"]
else:
POSTdata = request.POST
# Flag to check and alert of any errors encountered while attempting to
# render.
retVal = 0
if parsedData:
if loggly:
# If data from Loggly (after a search) is empty, alert the user.
if not logglyData:
emptyData = True
return render_to_response('render.html', locals(),
context_instance=RequestContext(request))
# Parse the data from Loggly's search into a CSV file.
retVal = _parseToCsv(logglyData, requestID, POSTdata, True)
else:
# Parse the log file into a CSV file with the expression given.
retVal = _parseToCsv(request.FILES['dataFile'], requestID, POSTdata)
# If the user submitted a custom regex expression and indicated to
# save it; insert the data into the database and alert an administrator
# through email.
if not retVal and POSTdata['regExType'] == '1' and "saveRegEx" in POSTdata:
expression = Expressions(name=POSTdata['saveRegExName'], \
description=POSTdata['saveRegExDescription'], \
regex=POSTdata['regEx'])
expression.save()
message = "Hello, a new expression has been submitted.\n"
message += "Exp name: " + POSTdata["saveRegExName"] \
+ "\n\nDescription: " + POSTdata["saveRegExDescription"] \
+ "\n\nExpression: " + POSTdata["regEx"] \
+ "\n\n"
from_email = settings.AF_FROM_EMAIL
try:
send_mail("Expression submit @AfterGlow", message,
from_email, settings.AF_TO_EMAILS)
except BadHeaderError:
return HttpResponse('Invalid header found. Please try again.')
else:
# A CSV file has been uploaded, write it as-is to the server.
_writeDataFile(request.FILES['dataFile'], requestID)
# If retVal has been changed from 0 to any other value from its point of
# declaration we have an error. Alert the user.
if retVal:
return render_to_response('render.html', locals(),
context_instance=RequestContext(request))
else:
_writeConfigFile(POSTdata['propertyConfig'], requestID)
#Build up parameters to be sent to the shell script.
param = _buildParameters(POSTdata)
if parsedData:
dataFile = "user_logs_parsed/" + requestID + ".log"
else:
dataFile = "user_data/" + requestID + ".csv"
propertyFile = "user_config/" + requestID + ".property"
outputFile = "afterglow_cloud/app/static/rendered/" + requestID + ".gif"
afPath = "../afterglow/src/afterglow.pl"
#Try rendering a graph, store the return code from the shell script.
status = _renderGraph(dataFile, propertyFile, outputFile, afPath,
POSTdata['renderingFilter'], param)
CAPTCHA_PUBLIC_KEY = settings.AF_RECAPTCHA_PUBLIC_KEY
# Form instance to save the rendered image to the gallery.
form = gallerySubmitForm(initial = {'image' : requestID})
# Store the unique request-ID used in this render request (to be used
# if the user opts in to submit the image to the gallery).
request.session['requestID'] = requestID
#Construct a rendered graph response.
response = render_to_response('render.html', locals(),
context_instance=RequestContext(request))
#Check if the user wanted to save/create a cookie to save their
#settings for future use.
if("saveConfigCookie" in POSTdata):
expiry = datetime.now() + timedelta(days = 3)
response.set_cookie(key = "afConfig",
value = _buildCookie(POSTdata),
expires = expiry)
return response
